diff --git a/scratchpad/lighter-vault-of-vaults/03-backtest-rebalancing-trials-no-leveraged-beta.ipynb b/scratchpad/lighter-vault-of-vaults/03-backtest-rebalancing-trials-no-leveraged-beta.ipynb
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+{
+ "cells": [
+  {
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+   "id": "9a578dd7",
+   "metadata": {},
+   "source": "# Lighter vault of vaults - rebalancing trials without leveraged-beta pools, concentrated basket\n\nBased on: `scratchpad/lighter-vault-of-vaults/02-backtest-rebalancing-method-trials.ipynb`\n\n## Hypothesis\n\nNB02 showed diversified allocation over the full 34-pool Lighter universe is tail-driven and fragile. This variant applies the profitability redesign from the PR discussion: exclude declared single-asset leveraged directional pools (`BTC 3x long`, `ETH 3x short`, ... \u2014 7 of 34 pools, responsible for most historical blow-ups) via new blacklist rules in `build_lighter_vault_universe(exclude_leveraged_beta=True)`, and concentrate the basket to a maximum of 5 positions with a 33% per-position concentration cap. The hypothesis is that a concentrated basket over a skill-only pool set improves risk-adjusted results and reduces the dependence on a handful of outlier up-days. This trial holds the universe, dates, capital, hard eligibility criteria, execution thresholds, and liquidity model fixed while applying all 31 methods catalogued in `scratchpad/vault-of-vaults/rebalanching-trials.md`.\n\n## Experiment controls\n\n- Changed versus NB02: leveraged-beta pools excluded by name rule (34 \u2192 27 pools), `max_assets_in_portfolio` 20 \u2192 5, `max_concentration_pct` 12% \u2192 33%. Everything else (dates, 25,000 USD capital, eligibility floors, thresholds, liquidity model) is unchanged.\n\n- The exact notebook 03 strategy run is retained as the NB158 baseline.\n- Full-period metrics cover 2025-08-01 through 2026-07-09.\n- The primary comparison is the 120-return clean extension holdout from 2026-03-12 through 2026-07-09.\n- Historical optimiser constants overlap the earlier part of the full period and are labelled accordingly.\n- The outer vault address list comes from a current cached curator snapshot, so this experiment inherits static-membership survivorship bias even though age, TVL, price availability, and signals are evaluated by timestamp.\n\n## Notes\n\nEvery row is reimplemented and backtested against the same Lighter trading universe, dates, capital, eligibility filters, liquidity model, and execution thresholds carried over from the Hyperliquid trial notebook. This is not a comparison of saved metrics from the historical notebooks; their identifiers and fixed method settings are used to define the trial rows below. Any method whose historical source did not provide one canonical setting is marked `approximation` in the performance table.\n\n## Rebalancing methods compared\n\nAll methods use the shared universe, daily cycle, eligibility floors, 25,000 USD initial capital, liquidity model, and trade thresholds. Parameters below identify the method-specific signal and allocation mechanics; `redemption-aware` is the default portfolio target unless stated otherwise.\n\n| ID | Name | Parameters | Description |\n|---|---|---|---|\n| NB22 | Inverse-volatility weighting | `1 / volatility(60d)`; `non_recycle`; redemption-aware target | It favours vaults with lower trailing 60-day volatility. It deploys its weights without recycling unused capacity. It keeps the common universe filters, liquidity caps, and daily rebalance controls fixed. |\n| NB23a | Equal weight | `equal weight`; `non_recycle`; redemption-aware target | It gives every selected vault the same raw weight. It does not recycle capacity left unused after risk caps. It is the simple allocation control for the trial. |\n| NB23b | Log-signal weighting | `log1p(age ramp)`; `recycle`; redemption-aware target | It compresses the age-ramp signal with a logarithm. It recycles unused capacity across selected vaults. It tests whether reducing signal dispersion improves deployment. |\n| NB24 | Signal-ranked waterfall | `log1p(age ramp)`; `waterfall`; redemption-aware target | It ranks vaults using the log-compressed age-ramp signal. It deploys capital greedily down that ranking with waterfall sizing. It tests the historical signal-ranked allocator on the fixed universe. |\n| NB26 | Sortino-based weighting | `positive Sortino(60d)`; `recycle`; redemption-aware target | It sizes vaults by positive trailing 60-day Sortino ratio. It recycles capacity from constrained vaults to other selected names. It emphasises downside-adjusted rather than total volatility-adjusted returns. |\n| NB27 | Sharpe-based weighting | `positive Sharpe(60d)`; `recycle`; redemption-aware target | It sizes vaults by positive trailing 60-day Sharpe ratio. It recycles capacity after liquidity and concentration caps. It tests whether total-risk-adjusted performance is a useful direct weight. |\n| NB28 | Diversified waterfall | `age ramp`; `diversified_waterfall`; protocol cap `40%` | It uses the structural age-ramp signal. It applies waterfall allocation with protocol concentration controls. The chain cap is non-binding because every pool is on Lighter. |\n| NB29 | Dynamic diversified waterfall | `Sharpe(60d)`; `diversified_waterfall`; protocol cap `40%` | It re-ranks vaults daily by trailing 60-day Sharpe. It applies diversified waterfall allocation to that changing ranking. The chain cap is non-binding on this single-venue Lighter universe. |\n| NB45 | Calmar-signal allocation | `positive Calmar(60d)`; `recycle`; redemption-aware target | It sizes vaults by positive trailing 60-day Calmar ratio. It recycles capacity across names that can accept it. It favours return per unit of historical drawdown. |\n| NB54 | PSR concentration | `Calmar(60d)`; `PSR(60d)`; multiplier `0.50` | It uses Calmar as the primary signal. It scales maximum concentration by probabilistic Sharpe ratio confidence. It tests a continuous confidence-aware concentration limit. |\n| NB59 | Linear PSR gate | `PSR(60d)` floor `0.30`; multiplier `0.50`; `psr_linear` | It excludes vaults below the fixed probabilistic Sharpe ratio floor. It scales surviving allocations linearly by their confidence. It tests a soft confidence gate rather than a binary ranking alone. |\n| NB60 | Bayesian credibility weighting | `Sterling(180d)`; Bayesian half-life `60d`; `recycle` | It shrinks the Sterling signal towards the same-day cross-sectional prior. The shrinkage declines as a vault gains history. It tests whether young vault signals need credibility adjustment. |\n| NB63 | Softmax allocation | `Sharpe(60d)`; softmax temperature `1.0`; `recycle` | It standardises trailing Sharpe values before applying softmax sizing. It uses the fixed temperature of one. It is an explicitly labelled approximation because the source did not expose one canonical temperature. |\n| NB64 | Threshold-linear allocation | `Sharpe rank`; thresholds `25%` and `75%`; `recycle` | It maps cross-sectional Sharpe ranks through a clipped linear rule. The lower and upper thresholds are the 25th and 75th percentiles. It is an explicitly labelled approximation of the historical method. |\n| NB66 | Dual-signal gate and weight | `Bayesian gate`; `Sharpe(60d)` weights; `recycle` | It gates candidates using Bayesian credibility. It sizes gated survivors using trailing Sharpe. It separates the selection signal from the sizing signal. |\n| NB68 | Bayesian gate with equal weight | `Bayesian gate`; equal weights; `recycle` | It uses the same Bayesian gate as NB66. It gives every gated survivor equal raw weight. It is the clean weighting ablation for the NB66 gate. |\n| NB71 | Rank-composite selection | `return, Sharpe, Calmar(60d), age, TVL` ranks; equal weights | It averages five same-day cross-sectional percentile ranks. It selects the highest composite ranks and equal-weights them. It tests a broad multi-feature selector rather than one signal. |\n| NB88 | Age-ramp weighting | `age ramp`; `recycle`; redemption-aware target | It uses the notebook 03 age-ramp signal directly. It uses normal recycled allocation rather than waterfall sizing. It is the structural signal baseline without the release-candidate allocator. |\n| NB93 | Age-TVL soft prior | `age ramp \u00d7 TVL`; TVL soft floor `$15,000`; `recycle` | It multiplies the age-ramp signal by a clipped TVL factor. It retains the shared hard TVL eligibility floor. It tests whether a softer capacity preference improves the age signal. |\n| NB101 | Age ramp with trend overlay | `age ramp 0.25y`; `trend R\u00b2(30d)`; strength `0.30` | It overlays trailing trend fit on the age-ramp signal. The overlay increases weights for stronger 30-day trends. It tests whether trend quality adds useful information to vault age. |\n| NB102 | Age-bucket equal weight | age buckets `<90`, `90\u2013270`, `\u2265270` days; equal cohorts | It separates eligible vaults into three age cohorts. It allocates equally across active cohorts and equally within each cohort. It tests whether age diversification matters more than continuous age weighting. |\n| NB109 | Volatility-of-volatility penalty | `age ramp`; `vol-of-vol(60d)` penalty `0.30` | It starts from the age-ramp signal. It applies a soft penalty to unstable trailing volatility. It tests whether volatility stability improves the structural allocation. |\n| NB116 | Sharpe-optimised age buckets | age buckets `<60`, `60\u201390`, `\u226590` days; equal cohorts | It uses the fixed historical winning age-bucket boundaries. It equal-weights the active cohorts and their members. It does not re-optimise boundaries on this evaluation period. |\n| NB128 | Correlation-cluster equal weight | correlation window `60d`; distance threshold `0.50`; cluster equal weight | It clusters trailing return correlations deterministically. It equal-weights clusters before equal-weighting their members. It falls back conservatively when history or cluster breadth is insufficient. |\n| NB130 | Survivor-first renormalisation | `age ramp`; top 5 survivors; `survivor_non_recycle` | It selects the top age-ramp survivors before normalising. It does not recycle capacity after the survivor-first allocation. It isolates the cash-drag behaviour of this historical branch. |\n| NB131 | Age-ramp selection with equal deployment | `age_select_equal`; top 5 survivors; `non_recycle` | It uses age ramp only to select survivors. It then assigns equal raw weights without recycling capacity. It isolates selection from signal-proportional deployment. |\n| NB142 | Equal-weight recycle | `age_select_equal`; top 5 survivors; `recycle` | It uses age ramp only to select survivors. It equal-weights them and recycles unused capacity. It is the recycled equal-weight allocator control. |\n| NB143 | Capped survivor-first waterfall | `age ramp`; `waterfall`; plain-equity target | It ranks survivors by age ramp and applies capped waterfall sizing. It targets plain current equity rather than redemption-aware investable equity. It isolates the pre-release-candidate cash-target policy. |\n| NB144 | Capacity-aware equal weight | `sqrt(TVL)` tilt `[1, 2]`; `recycle`; equal selection | It starts from equal weights across selected vaults. It tilts those weights by a clipped square-root TVL capacity factor. It tests whether capacity-aware equal allocation improves deployment. |\n| NB152 | Equal-weight recycle with minimum hold | `age_select_equal`; `minimum_hold_recycle`; hold `3d` | It uses equal-weight recycled allocation after age-based selection. It protects otherwise-eligible young positions from discretionary full exits for three days. It tests whether a brief holding period reduces churn. |\n| NB158 | Waterfall release candidate | `age ramp`; `waterfall`; redemption-aware target | It ranks vaults with the age-ramp signal. It applies capped waterfall sizing to the redemption-aware portfolio target. It is the unchanged notebook 03 release-candidate baseline. |\n\n## Universe notes\n\n- Lighter pools are non-EVM: the off-chain feed publishes them under the synthetic chain id `9998` with\n  synthetic `lighter-pool-{account_index}` addresses and a placeholder zero denomination-token address.\n  The universe is restricted to USDC pools, which excludes Lighter's separate USDG Robinhood Chain deployment.\n- The Lighter cohort is young and small (~34 USDC pools, most launched from August 2025), so early cycles\n  admit few eligible pools and the clean-extension holdout is short. Treat all rankings as exploratory.\n\n## Key new insights and what we learnt from this experiment\n\n- The blacklist rules work as designed: `build_lighter_vault_universe(exclude_leveraged_beta=True)` drops exactly the 7 declared single-asset leveraged directional pools (`BTC/ETH 3x long+short`, `SOL 3x short`, `HYPE 2x long`, `LINK 2x long`), leaving 27 skill-style pools. All 31 methods complete on the concentrated 5-position / 33%-cap configuration.\n- Headline risk-adjusted results improve materially versus NB02: the best full-period Sharpe rises from 1.18 to 1.76 (NB128, correlation-cluster equal weight, 119.65% CAGR) and the best holdout Sharpe from 1.49 to 3.38 (NB29, dynamic diversified waterfall, at only -3.65% holdout drawdown).\n- The age-ramp capped waterfall (NB158/NB143/NB24), the Hyperliquid release-candidate family, breaks down completely under 33% concentration on this universe: -1.05% full-period CAGR and a -43.62% drawdown, the worst of all 31 methods. Age is not a quality signal on Lighter \u2014 concentrating into the oldest pools concentrates into mediocrity.\n- The methods that win are the ones that re-rank dynamically or diversify by co-movement: NB29 (daily Sharpe re-ranking + diversified waterfall + willingness to hold cash), NB128 (correlation clusters), NB60 (Bayesian credibility shrinkage, 77.11% full CAGR), NB22 (inverse volatility, 1.65 full Sharpe at only -4.64% drawdown).\n- Concentration amplifies both edge and fragility: with 5 positions, single-pool days dominate the return path, so the outlier-neutralisation cutoffs are large (removed days are typically > +4.5% to +7.6%).\n\n## Summary of results\n\nUniverse: 27 Lighter USDC pools (7 leveraged-beta pools excluded by name rule), max 5 positions, 33% concentration cap, 25,000 USD initial capital, 2025-08-01 \u2192 2026-07-10; holdout 2026-03-12 \u2192 2026-07-09.\n\n| Result | ID | Method | Full CAGR | Full Sharpe | Full max DD | Holdout Sharpe |\n| --- | --- | --- | ---: | ---: | ---: | ---: |\n| Best holdout, most robust | NB29 | Dynamic diversified waterfall | 14.22% | 1.20 | -9.66% | 3.38 |\n| Best full-period | NB128 | Correlation-cluster equal weight | 119.65% | 1.76 | -26.72% | 0.90 |\n| Best balanced return | NB60 | Bayesian credibility weighting | 77.11% | 1.35 | -36.83% | 1.24 |\n| Capital preservation | NB22 | Inverse-volatility weighting | 10.73% | 1.65 | -4.64% | 0.64 |\n| Collapsed baseline | NB158 | Waterfall release candidate | -1.05% | 0.30 | -43.62% | -0.06 |\n\n## Robustness of results\n\n- **Tail-dependence persists at the full-period level.** Zeroing each method's top 5% of profitable days (losses preserved) still leaves all 31 methods negative over the full period \u2014 excluding leveraged-beta pools and concentrating the basket does not remove the dependence on a handful of outlier up-days; for most signal-chasing methods it deepens it.\n- **NB29 is the exception that matters.** Its holdout result survives the neutralisation: +24.03% CAGR and 2.55 Sharpe with the top days removed \u2014 the only method whose recent-period edge is broad-based rather than outlier-borne. NB22 is the least fragile on the full period (neutralised -4.15%, versus -9% to -71% for everything else). Both are exactly the \"re-rank dynamically, hold cash when unconvinced\" designs the profitability redesign predicted.\n- **NB128's full-period edge is regime-concentrated.** Its 119.65% CAGR comes from the pre-holdout window (holdout Sharpe only 0.90; neutralised holdout collapses to -59.59%), so it should be read as a diagnostic of cluster diversification, not a deployable ranking.\n- **Removed-day magnitudes are extreme.** Neutralisation cutoffs of +4.5% to +7.6% *daily* portfolio returns confirm heavy right tails; matching left-tail days exist (drawdowns to -43.62%), so risk control has to come from position discipline, not diversification that this universe cannot supply.\n- Inherited caveats stand: static-membership survivorship in the outer address list, `historical-overlap` provenance for method constants, 120-return holdout, all pools labelled `Severe` risk, and NB63/NB64 remain approximations excluded from winner claims.\n"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c3d53853",
+   "metadata": {},
+   "source": [
+    "# Trading universe and available pairs\n",
+    "\n",
+    "Build the fixed Hyperliquid vault universe, supporting benchmark pairs, and point-in-time indicators shared by every trial. The table shows the available pairs used by the comparison."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "2b97189d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T06:59:01.175226Z",
+     "iopub.status.busy": "2026-07-23T06:59:01.175024Z",
+     "iopub.status.idle": "2026-07-23T06:59:04.394739Z",
+     "shell.execute_reply": "2026-07-23T06:59:04.393672Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Started Trading Strategy in Jupyter notebook environment, configuration is stored in /Users/moo/.tradingstrategy\n"
+     ]
+    },
+    {
+     "data": {
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t=[\"ERROR:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.error.apply(console,t)}if(b3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"stick\")}}});var I6=ye((gir,Tte)=>{\"use strict\";Tte.exports=function(){}});var Hq=ye((mir,Ate)=>{\"use strict\";Ate.exports=function(t,r){if(r instanceof RegExp){for(var n=r.toString(),i=0;i<t.length;i++)if(t[i]instanceof RegExp&&t[i].toString()===n)return t;t.push(r)}else(r||r===0)&&t.indexOf(r)===-1&&t.push(r);return t}});var Mte=ye((yir,Ste)=>{Ste.exports=vrt;function vrt(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var kte=ye((_ir,Ete)=>{Ete.exports=prt;function prt(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}});var Lte=ye((xir,Cte)=>{Cte.exports=grt;function grt(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var jq=ye((bir,Pte)=>{Pte.exports=mrt;function mrt(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Rte=ye((wir,Ite)=>{Ite.exports=yrt;function yrt(e,t){if(e===t){var r=t[1],n=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=r,e[6]=t[9],e[7]=t[13],e[8]=n,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else 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r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],m=t[13],b=t[14],p=t[15];return e[0]=s*(h*p-d*b)-f*(l*p-u*b)+m*(l*d-u*h),e[1]=-(n*(h*p-d*b)-f*(i*p-a*b)+m*(i*d-a*h)),e[2]=n*(l*p-u*b)-s*(i*p-a*b)+m*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*p-d*b)-c*(l*p-u*b)+v*(l*d-u*h)),e[5]=r*(h*p-d*b)-c*(i*p-a*b)+v*(i*d-a*h),e[6]=-(r*(l*p-u*b)-o*(i*p-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*p-d*m)-c*(s*p-u*m)+v*(s*d-u*f),e[9]=-(r*(f*p-d*m)-c*(n*p-a*m)+v*(n*d-a*f)),e[10]=r*(s*p-u*m)-o*(n*p-a*m)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*m)-c*(s*b-l*m)+v*(s*h-l*f)),e[13]=r*(f*b-h*m)-c*(n*b-i*m)+v*(n*h-i*f),e[14]=-(r*(s*b-l*m)-o*(n*b-i*m)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var Bte=ye((Sir,Ote)=>{Ote.exports=brt;function brt(e){var t=e[0],r=e[1],n=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11],d=e[12],v=e[13],m=e[14],b=e[15],p=t*o-r*a,k=t*s-n*a,M=t*l-i*a,T=r*s-n*o,L=r*l-i*o,x=n*l-i*s,C=u*v-c*d,S=u*m-f*d,g=u*b-h*d,P=c*m-f*v,E=c*b-h*v,z=f*b-h*m;return p*z-k*E+M*P+T*g-L*S+x*C}});var Ute=ye((Mir,Nte)=>{Nte.exports=wrt;function wrt(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],f=t[8],h=t[9],d=t[10],v=t[11],m=t[12],b=t[13],p=t[14],k=t[15],M=r[0],T=r[1],L=r[2],x=r[3];return e[0]=M*n+T*s+L*f+x*m,e[1]=M*i+T*l+L*h+x*b,e[2]=M*a+T*u+L*d+x*p,e[3]=M*o+T*c+L*v+x*k,M=r[4],T=r[5],L=r[6],x=r[7],e[4]=M*n+T*s+L*f+x*m,e[5]=M*i+T*l+L*h+x*b,e[6]=M*a+T*u+L*d+x*p,e[7]=M*o+T*c+L*v+x*k,M=r[8],T=r[9],L=r[10],x=r[11],e[8]=M*n+T*s+L*f+x*m,e[9]=M*i+T*l+L*h+x*b,e[10]=M*a+T*u+L*d+x*p,e[11]=M*o+T*c+L*v+x*k,M=r[12],T=r[13],L=r[14],x=r[15],e[12]=M*n+T*s+L*f+x*m,e[13]=M*i+T*l+L*h+x*b,e[14]=M*a+T*u+L*d+x*p,e[15]=M*o+T*c+L*v+x*k,e}});var Gte=ye((Eir,Vte)=>{Vte.exports=Trt;function Trt(e,t,r){var n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,m,b,p;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],m=t[9],b=t[10],p=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=m,e[10]=b,e[11]=p,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+m*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+p*a+t[15]),e}});var jte=ye((kir,Hte)=>{Hte.exports=Art;function Art(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var Xte=ye((Cir,Wte)=>{Wte.exports=Srt;function Srt(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,m,b,p,k,M,T,L,x,C,S,g,P,E,z,q,V,G;return Math.abs(s)<1e-6?null:(s=1/s,i*=s,a*=s,o*=s,l=Math.sin(r),u=Math.cos(r),c=1-u,f=t[0],h=t[1],d=t[2],v=t[3],m=t[4],b=t[5],p=t[6],k=t[7],M=t[8],T=t[9],L=t[10],x=t[11],C=i*i*c+u,S=a*i*c+o*l,g=o*i*c-a*l,P=i*a*c-o*l,E=a*a*c+u,z=o*a*c+i*l,q=i*o*c+a*l,V=a*o*c-i*l,G=o*o*c+u,e[0]=f*C+m*S+M*g,e[1]=h*C+b*S+T*g,e[2]=d*C+p*S+L*g,e[3]=v*C+k*S+x*g,e[4]=f*P+m*E+M*z,e[5]=h*P+b*E+T*z,e[6]=d*P+p*E+L*z,e[7]=v*P+k*E+x*z,e[8]=f*q+m*V+M*G,e[9]=h*q+b*V+T*G,e[10]=d*q+p*V+L*G,e[11]=v*q+k*V+x*G,t!==e&&(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e)}});var Yte=ye((Lir,Zte)=>{Zte.exports=Mrt;function Mrt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[4]=a*i+u*n,e[5]=o*i+c*n,e[6]=s*i+f*n,e[7]=l*i+h*n,e[8]=u*i-a*n,e[9]=c*i-o*n,e[10]=f*i-s*n,e[11]=h*i-l*n,e}});var Jte=ye((Pir,Kte)=>{Kte.exports=Ert;function Ert(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i-u*n,e[1]=o*i-c*n,e[2]=s*i-f*n,e[3]=l*i-h*n,e[8]=a*n+u*i,e[9]=o*n+c*i,e[10]=s*n+f*i,e[11]=l*n+h*i,e}});var Qte=ye((Iir,$te)=>{$te.exports=krt;function krt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[4],c=t[5],f=t[6],h=t[7];return t!==e&&(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i+u*n,e[1]=o*i+c*n,e[2]=s*i+f*n,e[3]=l*i+h*n,e[4]=u*i-a*n,e[5]=c*i-o*n,e[6]=f*i-s*n,e[7]=h*i-l*n,e}});var tre=ye((Rir,ere)=>{ere.exports=Crt;function Crt(e,t,r){var n,i,a,o=r[0],s=r[1],l=r[2],u=Math.sqrt(o*o+s*s+l*l);return Math.abs(u)<1e-6?null:(u=1/u,o*=u,s*=u,l*=u,n=Math.sin(t),i=Math.cos(t),a=1-i,e[0]=o*o*a+i,e[1]=s*o*a+l*n,e[2]=l*o*a-s*n,e[3]=0,e[4]=o*s*a-l*n,e[5]=s*s*a+i,e[6]=l*s*a+o*n,e[7]=0,e[8]=o*l*a+s*n,e[9]=s*l*a-o*n,e[10]=l*l*a+i,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e)}});var ire=ye((Dir,rre)=>{rre.exports=Lrt;function Lrt(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,d=i*l,v=i*u,m=a*u,b=o*s,p=o*l,k=o*u;return e[0]=1-(d+m),e[1]=f+k,e[2]=h-p,e[3]=0,e[4]=f-k,e[5]=1-(c+m),e[6]=v+b,e[7]=0,e[8]=h+p,e[9]=v-b,e[10]=1-(c+d),e[11]=0,e[12]=r[0],e[13]=r[1],e[14]=r[2],e[15]=1,e}});var are=ye((Fir,nre)=>{nre.exports=Prt;function Prt(e,t){return e[0]=t[0],e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=t[1],e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=t[2],e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var sre=ye((zir,ore)=>{ore.exports=Irt;function Irt(e,t){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=t[0],e[13]=t[1],e[14]=t[2],e[15]=1,e}});var ure=ye((qir,lre)=>{lre.exports=Rrt;function Rrt(e,t){var r=Math.sin(t),n=Math.cos(t);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=n,e[6]=r,e[7]=0,e[8]=0,e[9]=-r,e[10]=n,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var fre=ye((Oir,cre)=>{cre.exports=Drt;function Drt(e,t){var r=Math.sin(t),n=Math.cos(t);return e[0]=n,e[1]=0,e[2]=-r,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=r,e[9]=0,e[10]=n,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var dre=ye((Bir,hre)=>{hre.exports=Frt;function Frt(e,t){var r=Math.sin(t),n=Math.cos(t);return e[0]=n,e[1]=r,e[2]=0,e[3]=0,e[4]=-r,e[5]=n,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var pre=ye((Nir,vre)=>{vre.exports=zrt;function zrt(e,t){var r=t[0],n=t[1],i=t[2],a=t[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,d=i*s,v=i*l,m=a*o,b=a*s,p=a*l;return e[0]=1-f-v,e[1]=c+p,e[2]=h-b,e[3]=0,e[4]=c-p,e[5]=1-u-v,e[6]=d+m,e[7]=0,e[8]=h+b,e[9]=d-m,e[10]=1-u-f,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var mre=ye((Uir,gre)=>{gre.exports=qrt;function qrt(e,t,r,n,i,a,o){var s=1/(r-t),l=1/(i-n),u=1/(a-o);return e[0]=a*2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a*2*l,e[6]=0,e[7]=0,e[8]=(r+t)*s,e[9]=(i+n)*l,e[10]=(o+a)*u,e[11]=-1,e[12]=0,e[13]=0,e[14]=o*a*2*u,e[15]=0,e}});var _re=ye((Vir,yre)=>{yre.exports=Ort;function Ort(e,t,r,n,i){var a=1/Math.tan(t/2),o=1/(n-i);return e[0]=a/r,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=(i+n)*o,e[11]=-1,e[12]=0,e[13]=0,e[14]=2*i*n*o,e[15]=0,e}});var bre=ye((Gir,xre)=>{xre.exports=Brt;function Brt(e,t,r,n){var i=Math.tan(t.upDegrees*Math.PI/180),a=Math.tan(t.downDegrees*Math.PI/180),o=Math.tan(t.leftDegrees*Math.PI/180),s=Math.tan(t.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return e[0]=l,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=u,e[6]=0,e[7]=0,e[8]=-((o-s)*l*.5),e[9]=(i-a)*u*.5,e[10]=n/(r-n),e[11]=-1,e[12]=0,e[13]=0,e[14]=n*r/(r-n),e[15]=0,e}});var Tre=ye((Hir,wre)=>{wre.exports=Nrt;function Nrt(e,t,r,n,i,a,o){var s=1/(t-r),l=1/(n-i),u=1/(a-o);return e[0]=-2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=-2*l,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=2*u,e[11]=0,e[12]=(t+r)*s,e[13]=(i+n)*l,e[14]=(o+a)*u,e[15]=1,e}});var Sre=ye((jir,Are)=>{var Urt=jq();Are.exports=Vrt;function Vrt(e,t,r,n){var i,a,o,s,l,u,c,f,h,d,v=t[0],m=t[1],b=t[2],p=n[0],k=n[1],M=n[2],T=r[0],L=r[1],x=r[2];return Math.abs(v-T)<1e-6&&Math.abs(m-L)<1e-6&&Math.abs(b-x)<1e-6?Urt(e):(c=v-T,f=m-L,h=b-x,d=1/Math.sqrt(c*c+f*f+h*h),c*=d,f*=d,h*=d,i=k*h-M*f,a=M*c-p*h,o=p*f-k*c,d=Math.sqrt(i*i+a*a+o*o),d?(d=1/d,i*=d,a*=d,o*=d):(i=0,a=0,o=0),s=f*o-h*a,l=h*i-c*o,u=c*a-f*i,d=Math.sqrt(s*s+l*l+u*u),d?(d=1/d,s*=d,l*=d,u*=d):(s=0,l=0,u=0),e[0]=i,e[1]=s,e[2]=c,e[3]=0,e[4]=a,e[5]=l,e[6]=f,e[7]=0,e[8]=o,e[9]=u,e[10]=h,e[11]=0,e[12]=-(i*v+a*m+o*b),e[13]=-(s*v+l*m+u*b),e[14]=-(c*v+f*m+h*b),e[15]=1,e)}});var Ere=ye((Wir,Mre)=>{Mre.exports=Grt;function Grt(e){return\"mat4(\"+e[0]+\", \"+e[1]+\", \"+e[2]+\", \"+e[3]+\", \"+e[4]+\", \"+e[5]+\", \"+e[6]+\", \"+e[7]+\", \"+e[8]+\", \"+e[9]+\", \"+e[10]+\", \"+e[11]+\", \"+e[12]+\", \"+e[13]+\", \"+e[14]+\", \"+e[15]+\")\"}});var Wq=ye((Xir,kre)=>{kre.exports={create:Mte(),clone:kte(),copy:Lte(),identity:jq(),transpose:Rte(),invert:Fte(),adjoint:qte(),determinant:Bte(),multiply:Ute(),translate:Gte(),scale:jte(),rotate:Xte(),rotateX:Yte(),rotateY:Jte(),rotateZ:Qte(),fromRotation:tre(),fromRotationTranslation:ire(),fromScaling:are(),fromTranslation:sre(),fromXRotation:ure(),fromYRotation:fre(),fromZRotation:dre(),fromQuat:pre(),frustum:mre(),perspective:_re(),perspectiveFromFieldOfView:bre(),ortho:Tre(),lookAt:Sre(),str:Ere()}});var R6=ye(fh=>{\"use strict\";var Hrt=Wq();fh.init2dArray=function(e,t){for(var r=new Array(e),n=0;n<e;n++)r[n]=new Array(t);return r};fh.transposeRagged=function(e){var t=0,r=e.length,n,i;for(n=0;n<r;n++)t=Math.max(t,e[n].length);var a=new Array(t);for(n=0;n<t;n++)for(a[n]=new Array(r),i=0;i<r;i++)a[n][i]=e[i][n];return a};fh.dot=function(e,t){if(!(e.length&&t.length)||e.length!==t.length)return null;var r=e.length,n,i;if(e[0].length)for(n=new Array(r),i=0;i<r;i++)n[i]=fh.dot(e[i],t);else if(t[0].length){var a=fh.transposeRagged(t);for(n=new Array(a.length),i=0;i<a.length;i++)n[i]=fh.dot(e,a[i])}else for(n=0,i=0;i<r;i++)n+=e[i]*t[i];return n};fh.translationMatrix=function(e,t){return[[1,0,e],[0,1,t],[0,0,1]]};fh.rotationMatrix=function(e){var t=e*Math.PI/180;return[[Math.cos(t),-Math.sin(t),0],[Math.sin(t),Math.cos(t),0],[0,0,1]]};fh.rotationXYMatrix=function(e,t,r){return fh.dot(fh.dot(fh.translationMatrix(t,r),fh.rotationMatrix(e)),fh.translationMatrix(-t,-r))};fh.apply3DTransform=function(e){return function(){var t=arguments,r=arguments.length===1?t[0]:[t[0],t[1],t[2]||0];return fh.dot(e,[r[0],r[1],r[2],1]).slice(0,3)}};fh.apply2DTransform=function(e){return function(){var t=arguments;t.length===3&&(t=t[0]);var r=arguments.length===1?t[0]:[t[0],t[1]];return 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.maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' viewBox='0 0 29 29'%3E%3Cpath d='M10 13c-.75 0-1.5.75-1.5 1.5S9.25 16 10 16h9c.75 0 1.5-.75 1.5-1.5S19.75 13 19 13z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-zoom-in .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' viewBox='0 0 29 29'%3E%3Cpath d='M14.5 8.5c-.75 0-1.5.75-1.5 1.5v3h-3c-.75 0-1.5.75-1.5 1.5S9.25 16 10 16h3v3c0 .75.75 1.5 1.5 1.5S16 19.75 16 19v-3h3c.75 0 1.5-.75 1.5-1.5S19.75 13 19 13h-3v-3c0-.75-.75-1.5-1.5-1.5'/%3E%3C/svg%3E\")}}.maplibregl-ctrl button.maplibregl-ctrl-fullscreen .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23333' viewBox='0 0 29 29'%3E%3Cpath d='M24 16v5.5c0 1.75-.75 2.5-2.5 2.5H16v-1l3-1.5-4-5.5 1-1 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d='M24 16v5.5c0 1.75-.75 2.5-2.5 2.5H16v-1l3-1.5-4-5.5 1-1 5.5 4 1.5-3zM6 16l1.5 3 5.5-4 1 1-4 5.5 3 1.5v1H7.5C5.75 24 5 23.25 5 21.5V16zm7-11v1l-3 1.5 4 5.5-1 1-5.5-4L6 13H5V7.5C5 5.75 5.75 5 7.5 5zm11 2.5c0-1.75-.75-2.5-2.5-2.5H16v1l3 1.5-4 5.5 1 1 5.5-4 1.5 3h1z'/%3E%3C/svg%3E\")}.maplibregl-ctrl button.maplibregl-ctrl-shrink .maplibregl-ctrl-icon{background-image:url(\"data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='29' height='29' fill='%23fff' viewBox='0 0 29 29'%3E%3Cpath d='M18.5 16c-1.75 0-2.5.75-2.5 2.5V24h1l1.5-3 5.5 4 1-1-4-5.5 3-1.5v-1zM13 18.5c0-1.75-.75-2.5-2.5-2.5H5v1l3 1.5L4 24l1 1 5.5-4 1.5 3h1zm3-8c0 1.75.75 2.5 2.5 2.5H24v-1l-3-1.5L25 5l-1-1-5.5 4L17 5h-1zM10.5 13c1.75 0 2.5-.75 2.5-2.5V5h-1l-1.5 3L5 4 4 5l4 5.5L5 12v1z'/%3E%3C/svg%3E\")}}@media (forced-colors:active) and (prefers-color-scheme:light){.maplibregl-ctrl button.maplibregl-ctrl-fullscreen 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vs(t,r,\"M\"+n+\",0L0,\"+n+\"L-\"+n+\",0L0,-\"+n+\"Z\")}},cross:{n:3,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.4,2),i=ca(e*1.2,2);return vs(t,r,\"M\"+i+\",\"+n+\"H\"+n+\"V\"+i+\"H-\"+n+\"V\"+n+\"H-\"+i+\"V-\"+n+\"H-\"+n+\"V-\"+i+\"H\"+n+\"V-\"+n+\"H\"+i+\"Z\")}},x:{n:4,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.8/Moe,2),i=\"l\"+n+\",\"+n,a=\"l\"+n+\",-\"+n,o=\"l-\"+n+\",-\"+n,s=\"l-\"+n+\",\"+n;return vs(t,r,\"M0,\"+n+i+a+o+a+o+s+o+s+i+s+i+\"Z\")}},\"triangle-up\":{n:5,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*2/f_,2),i=ca(e/2,2),a=ca(e,2);return vs(t,r,\"M-\"+n+\",\"+i+\"H\"+n+\"L0,-\"+a+\"Z\")}},\"triangle-down\":{n:6,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*2/f_,2),i=ca(e/2,2),a=ca(e,2);return vs(t,r,\"M-\"+n+\",-\"+i+\"H\"+n+\"L0,\"+a+\"Z\")}},\"triangle-left\":{n:7,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*2/f_,2),i=ca(e/2,2),a=ca(e,2);return vs(t,r,\"M\"+i+\",-\"+n+\"V\"+n+\"L-\"+a+\",0Z\")}},\"triangle-right\":{n:8,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*2/f_,2),i=ca(e/2,2),a=ca(e,2);return vs(t,r,\"M-\"+i+\",-\"+n+\"V\"+n+\"L\"+a+\",0Z\")}},\"triangle-ne\":{n:9,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M-\"+i+\",-\"+n+\"H\"+n+\"V\"+i+\"Z\")}},\"triangle-se\":{n:10,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M\"+n+\",-\"+i+\"V\"+n+\"H-\"+i+\"Z\")}},\"triangle-sw\":{n:11,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M\"+i+\",\"+n+\"H-\"+n+\"V-\"+i+\"Z\")}},\"triangle-nw\":{n:12,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.6,2),i=ca(e*1.2,2);return vs(t,r,\"M-\"+n+\",\"+i+\"V-\"+n+\"H\"+i+\"Z\")}},pentagon:{n:13,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.951,2),i=ca(e*.588,2),a=ca(-e,2),o=ca(e*-.309,2),s=ca(e*.809,2);return vs(t,r,\"M\"+n+\",\"+o+\"L\"+i+\",\"+s+\"H-\"+i+\"L-\"+n+\",\"+o+\"L0,\"+a+\"Z\")}},hexagon:{n:14,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=ca(e/2,2),a=ca(e*f_/2,2);return vs(t,r,\"M\"+a+\",-\"+i+\"V\"+i+\"L0,\"+n+\"L-\"+a+\",\"+i+\"V-\"+i+\"L0,-\"+n+\"Z\")}},hexagon2:{n:15,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=ca(e/2,2),a=ca(e*f_/2,2);return vs(t,r,\"M-\"+i+\",\"+a+\"H\"+i+\"L\"+n+\",0L\"+i+\",-\"+a+\"H-\"+i+\"L-\"+n+\",0Z\")}},octagon:{n:16,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.924,2),i=ca(e*.383,2);return vs(t,r,\"M-\"+i+\",-\"+n+\"H\"+i+\"L\"+n+\",-\"+i+\"V\"+i+\"L\"+i+\",\"+n+\"H-\"+i+\"L-\"+n+\",\"+i+\"V-\"+i+\"Z\")}},star:{n:17,f:function(e,t,r){if(ds(t))return hs;var n=e*1.4,i=ca(n*.225,2),a=ca(n*.951,2),o=ca(n*.363,2),s=ca(n*.588,2),l=ca(-n,2),u=ca(n*-.309,2),c=ca(n*.118,2),f=ca(n*.809,2),h=ca(n*.382,2);return vs(t,r,\"M\"+i+\",\"+u+\"H\"+a+\"L\"+o+\",\"+c+\"L\"+s+\",\"+f+\"L0,\"+h+\"L-\"+s+\",\"+f+\"L-\"+o+\",\"+c+\"L-\"+a+\",\"+u+\"H-\"+i+\"L0,\"+l+\"Z\")}},hexagram:{n:18,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.66,2),i=ca(e*.38,2),a=ca(e*.76,2);return vs(t,r,\"M-\"+a+\",0l-\"+i+\",-\"+n+\"h\"+a+\"l\"+i+\",-\"+n+\"l\"+i+\",\"+n+\"h\"+a+\"l-\"+i+\",\"+n+\"l\"+i+\",\"+n+\"h-\"+a+\"l-\"+i+\",\"+n+\"l-\"+i+\",-\"+n+\"h-\"+a+\"Z\")}},\"star-triangle-up\":{n:19,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*f_*.8,2),i=ca(e*.8,2),a=ca(e*1.6,2),o=ca(e*4,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return vs(t,r,\"M-\"+n+\",\"+i+s+n+\",\"+i+s+\"0,-\"+a+s+\"-\"+n+\",\"+i+\"Z\")}},\"star-triangle-down\":{n:20,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*f_*.8,2),i=ca(e*.8,2),a=ca(e*1.6,2),o=ca(e*4,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return vs(t,r,\"M\"+n+\",-\"+i+s+\"-\"+n+\",-\"+i+s+\"0,\"+a+s+n+\",-\"+i+\"Z\")}},\"star-square\":{n:21,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.1,2),i=ca(e*2,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return vs(t,r,\"M-\"+n+\",-\"+n+a+\"-\"+n+\",\"+n+a+n+\",\"+n+a+n+\",-\"+n+a+\"-\"+n+\",-\"+n+\"Z\")}},\"star-diamond\":{n:22,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.4,2),i=ca(e*1.9,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return vs(t,r,\"M-\"+n+\",0\"+a+\"0,\"+n+a+n+\",0\"+a+\"0,-\"+n+a+\"-\"+n+\",0Z\")}},\"diamond-tall\":{n:23,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*.7,2),i=ca(e*1.4,2);return vs(t,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},\"diamond-wide\":{n:24,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.4,2),i=ca(e*.7,2);return vs(t,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},hourglass:{n:25,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",\"+n+\"H-\"+n+\"L\"+n+\",-\"+n+\"H-\"+n+\"Z\")},noDot:!0},bowtie:{n:26,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",\"+n+\"V-\"+n+\"L-\"+n+\",\"+n+\"V-\"+n+\"Z\")},noDot:!0},\"circle-cross\":{n:27,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\")},needLine:!0,noDot:!0},\"circle-x\":{n:28,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=ca(e/Moe,2);return vs(t,r,\"M\"+i+\",\"+i+\"L-\"+i+\",-\"+i+\"M\"+i+\",-\"+i+\"L-\"+i+\",\"+i+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\")},needLine:!0,noDot:!0},\"square-cross\":{n:29,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+n+\",\"+n+\"H-\"+n+\"V-\"+n+\"H\"+n+\"Z\")},needLine:!0,noDot:!0},\"square-x\":{n:30,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",\"+n+\"L-\"+n+\",-\"+n+\"M\"+n+\",-\"+n+\"L-\"+n+\",\"+n+\"M\"+n+\",\"+n+\"H-\"+n+\"V-\"+n+\"H\"+n+\"Z\")},needLine:!0,noDot:!0},\"diamond-cross\":{n:31,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.3,2);return vs(t,r,\"M\"+n+\",0L0,\"+n+\"L-\"+n+\",0L0,-\"+n+\"ZM0,-\"+n+\"V\"+n+\"M-\"+n+\",0H\"+n)},needLine:!0,noDot:!0},\"diamond-x\":{n:32,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.3,2),i=ca(e*.65,2);return vs(t,r,\"M\"+n+\",0L0,\"+n+\"L-\"+n+\",0L0,-\"+n+\"ZM-\"+i+\",-\"+i+\"L\"+i+\",\"+i+\"M-\"+i+\",\"+i+\"L\"+i+\",-\"+i)},needLine:!0,noDot:!0},\"cross-thin\":{n:33,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.4,2);return vs(t,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n)},needLine:!0,noDot:!0,noFill:!0},\"x-thin\":{n:34,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",\"+n+\"L-\"+n+\",-\"+n+\"M\"+n+\",-\"+n+\"L-\"+n+\",\"+n)},needLine:!0,noDot:!0,noFill:!0},asterisk:{n:35,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.2,2),i=ca(e*.85,2);return vs(t,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+i+\",\"+i+\"L-\"+i+\",-\"+i+\"M\"+i+\",-\"+i+\"L-\"+i+\",\"+i)},needLine:!0,noDot:!0,noFill:!0},hash:{n:36,f:function(e,t,r){if(ds(t))return hs;var n=ca(e/2,2),i=ca(e,2);return vs(t,r,\"M\"+n+\",\"+i+\"V-\"+i+\"M\"+(n-i)+\",-\"+i+\"V\"+i+\"M\"+i+\",\"+n+\"H-\"+i+\"M-\"+i+\",\"+(n-i)+\"H\"+i)},needLine:!0,noFill:!0},\"y-up\":{n:37,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.2,2),i=ca(e*1.6,2),a=ca(e*.8,2);return vs(t,r,\"M-\"+n+\",\"+a+\"L0,0M\"+n+\",\"+a+\"L0,0M0,-\"+i+\"L0,0\")},needLine:!0,noDot:!0,noFill:!0},\"y-down\":{n:38,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.2,2),i=ca(e*1.6,2),a=ca(e*.8,2);return vs(t,r,\"M-\"+n+\",-\"+a+\"L0,0M\"+n+\",-\"+a+\"L0,0M0,\"+i+\"L0,0\")},needLine:!0,noDot:!0,noFill:!0},\"y-left\":{n:39,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.2,2),i=ca(e*1.6,2),a=ca(e*.8,2);return vs(t,r,\"M\"+a+\",\"+n+\"L0,0M\"+a+\",-\"+n+\"L0,0M-\"+i+\",0L0,0\")},needLine:!0,noDot:!0,noFill:!0},\"y-right\":{n:40,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.2,2),i=ca(e*1.6,2),a=ca(e*.8,2);return vs(t,r,\"M-\"+a+\",\"+n+\"L0,0M-\"+a+\",-\"+n+\"L0,0M\"+i+\",0L0,0\")},needLine:!0,noDot:!0,noFill:!0},\"line-ew\":{n:41,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.4,2);return vs(t,r,\"M\"+n+\",0H-\"+n)},needLine:!0,noDot:!0,noFill:!0},\"line-ns\":{n:42,f:function(e,t,r){if(ds(t))return hs;var n=ca(e*1.4,2);return vs(t,r,\"M0,\"+n+\"V-\"+n)},needLine:!0,noDot:!0,noFill:!0},\"line-ne\":{n:43,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",-\"+n+\"L-\"+n+\",\"+n)},needLine:!0,noDot:!0,noFill:!0},\"line-nw\":{n:44,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2);return vs(t,r,\"M\"+n+\",\"+n+\"L-\"+n+\",-\"+n)},needLine:!0,noDot:!0,noFill:!0},\"arrow-up\":{n:45,f:function(e,t,r){if(ds(t))return hs;var n=ca(e,2),i=ca(e*2,2);return 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c=s[u],f=c[0],h=a,d=o;if(f===\"M\"||f===\"L\")a=+c[1],o=+c[2];else if(f===\"m\"||f===\"l\")a+=+c[1],o+=+c[2];else if(f===\"H\")a=+c[1];else if(f===\"h\")a+=+c[1];else if(f===\"V\")o=+c[1];else if(f===\"v\")o+=+c[1];else if(f===\"A\"){a=+c[1],o=+c[2];var v=n(i,[+c[6],+c[7]]);c[6]=v[0],c[7]=v[1],c[3]=+c[3]+e}(f===\"H\"||f===\"V\")&&(f=\"L\"),(f===\"h\"||f===\"v\")&&(f=\"l\"),(f===\"m\"||f===\"l\")&&(a-=h,o-=d);var m=n(i,[a,o]);(f===\"H\"||f===\"V\")&&(f=\"L\"),(f===\"M\"||f===\"L\"||f===\"m\"||f===\"l\")&&(c[1]=m[0],c[2]=m[1]),c[0]=f,l+=c[0]+c.slice(1).join(\",\")}return koe=l,l}});var So=ye((Sar,$oe)=>{\"use strict\";var dd=Fa(),Du=Pr(),ist=Du.numberFormat,Fb=Eo(),$O=fd(),mL=Oa(),Jd=ka(),nst=tc(),cM=Du.strTranslate,yL=Zl(),ast=Wp(),ost=Dh(),sst=ost.LINE_SPACING,Voe=Z1().DESELECTDIM,lst=Ru(),ust=U3(),cst=ip().appendArrayPointValue,Ta=$oe.exports={};Ta.font=function(e,t){var r=t.variant,n=t.style,i=t.weight,a=t.color,o=t.size,s=t.family,l=t.shadow,u=t.lineposition,c=t.textcase;s&&e.style(\"font-family\",s),o+1&&e.style(\"font-size\",o+\"px\"),a&&e.call(Jd.fill,a),i&&e.style(\"font-weight\",i),n&&e.style(\"font-style\",n),r&&e.style(\"font-variant\",r),c&&e.style(\"text-transform\",XO(hst(c))),l&&e.style(\"text-shadow\",l===\"auto\"?yL.makeTextShadow(Jd.contrast(a)):XO(l)),u&&e.style(\"text-decoration-line\",XO(dst(u)))};function XO(e){return e===\"none\"?void 0:e}var fst={normal:\"none\",lower:\"lowercase\",upper:\"uppercase\",\"word caps\":\"capitalize\"};function hst(e){return fst[e]}function dst(e){return e.replace(\"under\",\"underline\").replace(\"over\",\"overline\").replace(\"through\",\"line-through\").split(\"+\").join(\" 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a=i[0].trace,o=a.xcalendar,s=a.ycalendar,l=mL.traceIs(a,\"bar-like\")?\".bartext\":\".point,.textpoint\";e.selectAll(l).each(function(u){Ta.hideOutsideRangePoint(u,dd.select(this),r,n,o,s)})})}};Ta.crispRound=function(e,t,r){return!t||!Fb(t)?r||0:e._context.staticPlot?t:t<1?1:Math.round(t)};Ta.singleLineStyle=function(e,t,r,n,i){t.style(\"fill\",\"none\");var a=(((e||[])[0]||{}).trace||{}).line||{},o=r||a.width||0,s=i||a.dash||\"\";Jd.stroke(t,n||a.color),Ta.dashLine(t,s,o)};Ta.lineGroupStyle=function(e,t,r,n){e.style(\"fill\",\"none\").each(function(i){var a=(((i||[])[0]||{}).trace||{}).line||{},o=t||a.width||0,s=n||a.dash||\"\";dd.select(this).call(Jd.stroke,r||a.color).call(Ta.dashLine,s,o)})};Ta.dashLine=function(e,t,r){r=+r||0,t=Ta.dashStyle(t,r),e.style({\"stroke-dasharray\":t,\"stroke-width\":r+\"px\"})};Ta.dashStyle=function(e,t){t=+t||1;var r=Math.max(t,3);return e===\"solid\"?e=\"\":e===\"dot\"?e=r+\"px,\"+r+\"px\":e===\"dash\"?e=3*r+\"px,\"+3*r+\"px\":e===\"longdash\"?e=5*r+\"px,\"+5*r+\"px\":e===\"dashdot\"?e=3*r+\"px,\"+r+\"px,\"+r+\"px,\"+r+\"px\":e===\"longdashdot\"&&(e=5*r+\"px,\"+2*r+\"px,\"+r+\"px,\"+2*r+\"px\"),e};function Goe(e,t,r,n){var i=t.fillpattern,a=t.fillgradient,o=Ta.getPatternAttr,s=i&&(o(i.shape,0,\"\")||o(i.path,0,\"\"));if(s){var l=o(i.bgcolor,0,null),u=o(i.fgcolor,0,null),c=i.fgopacity,f=o(i.size,0,8),h=o(i.solidity,0,.3),d=t.uid;Ta.pattern(e,\"point\",r,d,s,f,h,void 0,i.fillmode,l,u,c)}else if(a&&a.type!==\"none\"){var v=a.type,m=\"scatterfill-\"+t.uid;if(n&&(m=\"legendfill-\"+t.uid),!n&&(a.start!==void 0||a.stop!==void 0)){var b,p;v===\"horizontal\"?(b={x:a.start,y:0},p={x:a.stop,y:0}):v===\"vertical\"&&(b={x:0,y:a.start},p={x:0,y:a.stop}),b.x=t._xA.c2p(b.x===void 0?t._extremes.x.min[0].val:b.x,!0),b.y=t._yA.c2p(b.y===void 0?t._extremes.y.min[0].val:b.y,!0),p.x=t._xA.c2p(p.x===void 0?t._extremes.x.max[0].val:p.x,!0),p.y=t._yA.c2p(p.y===void 0?t._extremes.y.max[0].val:p.y,!0),e.call(Woe,r,m,\"linear\",a.colorscale,\"fill\",b,p,!0,!1)}else v===\"horizontal\"&&(v=v+\"reversed\"),e.call(Ta.gradient,r,m,v,a.colorscale,\"fill\")}else t.fillcolor&&e.call(Jd.fill,t.fillcolor)}Ta.singleFillStyle=function(e,t){var r=dd.select(e.node()),n=r.data(),i=((n[0]||[])[0]||{}).trace||{};Goe(e,i,t,!1)};Ta.fillGroupStyle=function(e,t,r){e.style(\"stroke-width\",0).each(function(n){var i=dd.select(this);n[0].trace&&Goe(i,n[0].trace,t,r)})};var Roe=Ioe();Ta.symbolNames=[];Ta.symbolFuncs=[];Ta.symbolBackOffs=[];Ta.symbolNeedLines={};Ta.symbolNoDot={};Ta.symbolNoFill={};Ta.symbolList=[];Object.keys(Roe).forEach(function(e){var t=Roe[e],r=t.n;Ta.symbolList.push(r,String(r),e,r+100,String(r+100),e+\"-open\"),Ta.symbolNames[r]=e,Ta.symbolFuncs[r]=t.f,Ta.symbolBackOffs[r]=t.backoff||0,t.needLine&&(Ta.symbolNeedLines[r]=!0),t.noDot?Ta.symbolNoDot[r]=!0:Ta.symbolList.push(r+200,String(r+200),e+\"-dot\",r+300,String(r+300),e+\"-open-dot\"),t.noFill&&(Ta.symbolNoFill[r]=!0)});var vst=Ta.symbolNames.length,pst=\"M0,0.5L0.5,0L0,-0.5L-0.5,0Z\";Ta.symbolNumber=function(e){if(Fb(e))e=+e;else if(typeof e==\"string\"){var t=0;e.indexOf(\"-open\")>0&&(t=100,e=e.replace(\"-open\",\"\")),e.indexOf(\"-dot\")>0&&(t+=200,e=e.replace(\"-dot\",\"\")),e=Ta.symbolNames.indexOf(e),e>=0&&(e+=t)}return e%100>=vst||e>=400?0:Math.floor(Math.max(e,0))};function Hoe(e,t,r,n){var i=e%100;return Ta.symbolFuncs[i](t,r,n)+(e>=200?pst:\"\")}var Doe=ist(\"~f\"),joe={radial:{type:\"radial\"},radialreversed:{type:\"radial\",reversed:!0},horizontal:{type:\"linear\",start:{x:1,y:0},stop:{x:0,y:0}},horizontalreversed:{type:\"linear\",start:{x:1,y:0},stop:{x:0,y:0},reversed:!0},vertical:{type:\"linear\",start:{x:0,y:1},stop:{x:0,y:0}},verticalreversed:{type:\"linear\",start:{x:0,y:1},stop:{x:0,y:0},reversed:!0}};Ta.gradient=function(e,t,r,n,i,a){var o=joe[n];return Woe(e,t,r,o.type,i,a,o.start,o.stop,!1,o.reversed)};function Woe(e,t,r,n,i,a,o,s,l,u){var c=i.length,f;n===\"linear\"?f={node:\"linearGradient\",attrs:{x1:o.x,y1:o.y,x2:s.x,y2:s.y,gradientUnits:l?\"userSpaceOnUse\":\"objectBoundingBox\"},reversed:u}:n===\"radial\"&&(f={node:\"radialGradient\",reversed:u});for(var h=new Array(c),d=0;d<c;d++)f.reversed?h[c-1-d]=[Doe((1-i[d][0])*100),i[d][1]]:h[d]=[Doe(i[d][0]*100),i[d][1]];var v=t._fullLayout,m=\"g\"+v._uid+\"-\"+r,b=v._defs.select(\".gradients\").selectAll(\"#\"+m).data([n+h.join(\";\")],Du.identity);b.exit().remove(),b.enter().append(f.node).each(function(){var p=dd.select(this);f.attrs&&p.attr(f.attrs),p.attr(\"id\",m);var k=p.selectAll(\"stop\").data(h);k.exit().remove(),k.enter().append(\"stop\"),k.each(function(M){var T=$O(M[1]);dd.select(this).attr({offset:M[0]+\"%\",\"stop-color\":Jd.tinyRGB(T),\"stop-opacity\":T.getAlpha()})})}),e.style(a,QO(m,t)).style(a+\"-opacity\",null),e.classed(\"gradient_filled\",!0)}Ta.pattern=function(e,t,r,n,i,a,o,s,l,u,c,f){var h=t===\"legend\";s&&(l===\"overlay\"?(u=s,c=Jd.contrast(u)):(u=void 0,c=s));var d=r._fullLayout,v=\"p\"+d._uid+\"-\"+n,m,b,p=function(q,V,G,Z,j){return Z+(j-Z)*(q-V)/(G-V)},k,M,T,L,x={},C=$O(c),S=Jd.tinyRGB(C),g=C.getAlpha(),P=f*g;switch(i){case\"/\":m=a*Math.sqrt(2),b=a*Math.sqrt(2),k=\"M-\"+m/4+\",\"+b/4+\"l\"+m/2+\",-\"+b/2+\"M0,\"+b+\"L\"+m+\",0M\"+m/4*3+\",\"+b/4*5+\"l\"+m/2+\",-\"+b/2,M=o*a,L=\"path\",x={d:k,opacity:P,stroke:S,\"stroke-width\":M+\"px\"};break;case\"\\\\\":m=a*Math.sqrt(2),b=a*Math.sqrt(2),k=\"M\"+m/4*3+\",-\"+b/4+\"l\"+m/2+\",\"+b/2+\"M0,0L\"+m+\",\"+b+\"M-\"+m/4+\",\"+b/4*3+\"l\"+m/2+\",\"+b/2,M=o*a,L=\"path\",x={d:k,opacity:P,stroke:S,\"stroke-width\":M+\"px\"};break;case\"x\":m=a*Math.sqrt(2),b=a*Math.sqrt(2),k=\"M-\"+m/4+\",\"+b/4+\"l\"+m/2+\",-\"+b/2+\"M0,\"+b+\"L\"+m+\",0M\"+m/4*3+\",\"+b/4*5+\"l\"+m/2+\",-\"+b/2+\"M\"+m/4*3+\",-\"+b/4+\"l\"+m/2+\",\"+b/2+\"M0,0L\"+m+\",\"+b+\"M-\"+m/4+\",\"+b/4*3+\"l\"+m/2+\",\"+b/2,M=a-a*Math.sqrt(1-o),L=\"path\",x={d:k,opacity:P,stroke:S,\"stroke-width\":M+\"px\"};break;case\"|\":m=a,b=a,L=\"path\",k=\"M\"+m/2+\",0L\"+m/2+\",\"+b,M=o*a,L=\"path\",x={d:k,opacity:P,stroke:S,\"stroke-width\":M+\"px\"};break;case\"-\":m=a,b=a,L=\"path\",k=\"M0,\"+b/2+\"L\"+m+\",\"+b/2,M=o*a,L=\"path\",x={d:k,opacity:P,stroke:S,\"stroke-width\":M+\"px\"};break;case\"+\":m=a,b=a,L=\"path\",k=\"M\"+m/2+\",0L\"+m/2+\",\"+b+\"M0,\"+b/2+\"L\"+m+\",\"+b/2,M=a-a*Math.sqrt(1-o),L=\"path\",x={d:k,opacity:P,stroke:S,\"stroke-width\":M+\"px\"};break;case\".\":m=a,b=a,o<Math.PI/4?T=Math.sqrt(o*a*a/Math.PI):T=p(o,Math.PI/4,1,a/2,a/Math.sqrt(2)),L=\"circle\",x={cx:m/2,cy:b/2,r:T,opacity:P,fill:S};break;default:m=a,b=a,L=\"path\",x={d:i,opacity:P,fill:S};break}var E=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),z=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([E],Du.identity);z.exit().remove(),z.enter().append(\"pattern\").each(function(){var q=dd.select(this);if(q.attr({id:v,width:m+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=$O(u),G=Jd.tinyRGB(V),Z=V.getAlpha(),j=q.selectAll(\"rect\").data([0]);j.exit().remove(),j.enter().append(\"rect\").attr({width:m+\"px\",height:b+\"px\",fill:G,\"fill-opacity\":Z})}var N=q.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(x)}),e.style(\"fill\",QO(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};Ta.initGradients=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),dd.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};Ta.initPatterns=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),dd.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};Ta.getPatternAttr=function(e,t,r){return e&&Du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};Ta.pointStyle=function(e,t,r,n){if(e.size()){var i=Ta.makePointStyleFns(t);e.each(function(a){Ta.singlePointStyle(a,dd.select(this),t,i,r,n)})}};Ta.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=Ta.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=tB(e,r),f=eB(e,r);t.attr(\"d\",Hoe(u,l,c,f))}var h=!1,d,v,m;if(e.so)m=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var b=(s||{}).width;m=(e.mlw+1||b+1||(e.trace?(e.trace.marker.line||{}).width:0)+1)-1||0,\"mlc\"in e?v=e.mlcc=n.lineScale(e.mlc):Du.isArrayOrTypedArray(s.color)?v=Jd.defaultLine:v=s.color,Du.isArrayOrTypedArray(o.color)&&(d=Jd.defaultLine,h=!0),\"mc\"in e?d=e.mcc=n.markerScale(e.mc):d=o.color||o.colors||\"rgba(0,0,0,0)\",n.selectedColorFn&&(d=n.selectedColorFn(e))}let p=e.mld||(s||{}).dash;if(p&&Ta.dashLine(t,p,m),e.om)t.call(Jd.stroke,d).style({\"stroke-width\":(m||1)+\"px\",fill:\"none\"});else{t.style(\"stroke-width\",(e.isBlank?0:m)+\"px\");var k=o.gradient,M=e.mgt;M?h=!0:M=k&&k.type,Du.isArrayOrTypedArray(M)&&(M=M[0],joe[M]||(M=0));var T=o.pattern,L=Ta.getPatternAttr,x=T&&(L(T.shape,e.i,\"\")||L(T.path,e.i,\"\"));if(M&&M!==\"none\"){var C=e.mgc;C?h=!0:C=k.color;var S=r.uid;h&&(S+=\"-\"+e.i),Ta.gradient(t,i,S,M,[[0,C],[1,d]],\"fill\")}else if(x){var g=!1,P=T.fgcolor;!P&&a&&a.color&&(P=a.color,g=!0);var E=L(P,e.i,a&&a.color||null),z=L(T.bgcolor,e.i,null),q=T.fgopacity,V=L(T.size,e.i,8),G=L(T.solidity,e.i,.3);g=g||e.mcc||Du.isArrayOrTypedArray(T.shape)||Du.isArrayOrTypedArray(T.path)||Du.isArrayOrTypedArray(T.bgcolor)||Du.isArrayOrTypedArray(T.fgcolor)||Du.isArrayOrTypedArray(T.size)||Du.isArrayOrTypedArray(T.solidity);var Z=r.uid;g&&(Z+=\"-\"+e.i),Ta.pattern(t,\"point\",i,Z,x,V,G,e.mcc,T.fillmode,z,E,q)}else Du.isArrayOrTypedArray(d)?Jd.fill(t,d[e.i]):Jd.fill(t,d);m&&Jd.stroke(t,v)}};Ta.makePointStyleFns=function(e){var t={},r=e.marker;return t.markerScale=Ta.tryColorscale(r,\"\"),t.lineScale=Ta.tryColorscale(r,\"line\"),mL.traceIs(e,\"symbols\")&&(t.ms2mrc=lst.isBubble(e)?ust(e):function(){return(r.size||6)/2}),e.selectedpoints&&Du.extendFlat(t,Ta.makeSelectedPointStyleFns(e)),t};Ta.makeSelectedPointStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(Du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(T){var L=T.mo===void 0?i.opacity:T.mo;return T.selected?c?l:L:f?u:Voe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(T){var L=T.mcc||h;return T.selected?d||L:v||L});var m=i.size,b=a.size,p=o.size,k=b!==void 0,M=p!==void 0;return mL.traceIs(e,\"symbols\")&&(k||M)&&(t.selectedSizeFn=function(T){var L=T.mrc||m/2;return T.selected?k?b/2:L:M?p/2:L}),t};Ta.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Jd.addOpacity(f,Voe))},t};Ta.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Ta.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Jd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",Hoe(Ta.symbolNumber(s),l,tB(o,t),eB(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=dd.select(this),s=0;s<i.length;s++)i[s](o,a)})}};Ta.tryColorscale=function(e,t){var r=t?Du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&Du.isArrayOrTypedArray(n))return nst.makeColorScaleFuncFromTrace(r)}return Du.identity};var ZO={start:1,end:-1,middle:0,bottom:1,top:-1};function Xoe(e,t,r,n,i){var a=dd.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(yL.lineCount(e)-1)*sst+1,c=ZO[s]*l,f=r*.75+ZO[o]*l+(ZO[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",cM(c,f))}function Zoe(e,t){var r=e.ts||t.textfont.size;return Fb(r)&&r>0?r:0}Ta.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=Ta.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=dd.select(this),u=a?Du.extractOption(s,t,\"txt\",\"texttemplate\"):Du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};cst(h,t,s.i),u=Du.texttemplateString({data:[h,s,t._meta],fallback:t.texttemplatefallback,labels:f,locale:o._d3locale,template:u})}var d=s.tp||t.textposition,v=Zoe(s,t),m=n?n(s):s.tc||t.textfont.color;l.call(Ta.font,{family:s.tf||t.textfont.family,weight:s.tw||t.textfont.weight,style:s.ty||t.textfont.style,variant:s.tv||t.textfont.variant,textcase:s.tC||t.textfont.textcase,lineposition:s.tE||t.textfont.lineposition,shadow:s.tS||t.textfont.shadow,size:v,color:m}).text(u).call(yL.convertToTspans,r).call(Xoe,d,v,s.mrc)})}};Ta.selectedTextStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Ta.makeSelectedTextStyleFns(t);e.each(function(n){var i=dd.select(this),a=r.selectedTextColorFn(n),o=n.tp||t.textposition,s=Zoe(n,t);Jd.fill(i,a);var l=mL.traceIs(t,\"bar-like\");Xoe(i,o,s,n.mrc2||n.mrc,l)})}};var Foe=.5;Ta.smoothopen=function(e,t){if(e.length<3)return\"M\"+e.join(\"L\");var r=\"M\"+e[0],n=[],i;for(i=1;i<e.length-1;i++)n.push(gL(e[i-1],e[i],e[i+1],t));for(r+=\"Q\"+n[0][0]+\" \"+e[1],i=2;i<e.length-1;i++)r+=\"C\"+n[i-2][1]+\" \"+n[i-1][0]+\" \"+e[i];return r+=\"Q\"+n[e.length-3][1]+\" 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L=t.minallowed,x=t.maxallowed;if(!(L===void 0&&x===void 0)){T||(T=\"range\");var C=yc.nestedProperty(t,T).get(),S=yc.simpleMap(C,t.r2l),g=S[1]<S[0];g&&S.reverse();var P=yc.simpleMap([L,x],t.r2l);if(L!==void 0&&S[0]<P[0]&&(C[g?1:0]=L,S[0]=P[0]),x!==void 0&&S[1]>P[1]&&(C[g?0:1]=x,S[1]=P[1]),S[0]>=S[1])if(L!==void 0){var E=P[0]+1;x!==void 0&&(E=Math.min(E,P[1])),C[g?0:1]=t.l2r(E)}else x!==void 0&&(C[g?1:0]=t.l2r(P[1]-1))}},t.cleanRange=function(T,L){t._cleanRange(T,L),t.limitRange(T)},t._cleanRange=function(T,L){L||(L={}),T||(T=\"range\");var x=yc.nestedProperty(t,T).get(),C,S;if(t.type===\"date\"?S=yc.dfltRange(t.calendar):i===\"y\"?S=EL.DFLTRANGEY:t._name===\"realaxis\"?S=[0,1]:S=L.dfltRange||EL.DFLTRANGEX,S=S.slice(),(t.rangemode===\"tozero\"||t.rangemode===\"nonnegative\")&&(S[0]=0),!x||x.length!==2){yc.nestedProperty(t,T).set(S);return}var g=x[0]===null,P=x[1]===null;for(t.type===\"date\"&&!t.autorange&&(x[0]=yc.cleanDate(x[0],Sg,t.calendar),x[1]=yc.cleanDate(x[1],Sg,t.calendar)),C=0;C<2;C++)if(t.type===\"date\"){if(!yc.isDateTime(x[C],t.calendar)){t[T]=S;break}if(t.r2l(x[0])===t.r2l(x[1])){var E=yc.constrain(t.r2l(x[0]),yc.MIN_MS+1e3,yc.MAX_MS-1e3);x[0]=t.l2r(E-1e3),x[1]=t.l2r(E+1e3);break}}else{if(!ym(x[C]))if(!(g||P)&&ym(x[1-C]))x[C]=x[1-C]*(C?10:.1);else{t[T]=S;break}if(x[C]<-bL?x[C]=-bL:x[C]>bL&&(x[C]=bL),x[0]===x[1]){var z=Math.max(1,Math.abs(x[0]*1e-6));x[0]-=z,x[1]+=z}}},t.setScale=function(T){var L=r._size;if(t.overlaying){var x=AL.getFromId({_fullLayout:r},t.overlaying);t.domain=x.domain}var C=T&&t._r?\"_r\":\"range\",S=t.calendar;t.cleanRange(C);var 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x&&L&&L.reverseDflt?x=\"reversed\":T&&(T[0]===null&&T[1]===null?x=!0:T[0]===null&&T[1]!==null?x=\"min\":T[0]!==null&&T[1]===null&&(x=\"max\")),x},t.isReversed=function(){var T=t.autorange;return T===\"reversed\"||T===\"min reversed\"||T===\"max reversed\"},t.isPtWithinRange=function(T,L){var x=t.c2l(T[i],null,L),C=t.r2l(t.range[0]),S=t.r2l(t.range[1]);return C<S?C<=x&&x<=S:S<=x&&x<=C},t._emptyCategories=function(){t._categories=[],t._categoriesMap={}},t.clearCalc=function(){var T=t._matchGroup;if(T){var L=null,x=null;for(var C in T){var S=r[AL.id2name(C)];if(S._categories){L=S._categories,x=S._categoriesMap;break}}L&&x?(t._categories=L,t._categoriesMap=x):t._emptyCategories()}else t._emptyCategories();if(t._initialCategories)for(var g=0;g<t._initialCategories.length;g++)u(t._initialCategories[g])},t.sortByInitialCategories=function(){var T=[];if(t._emptyCategories(),t._initialCategories)for(var L=0;L<t._initialCategories.length;L++)u(t._initialCategories[L]);T=T.concat(t._traceIndices);var x=t._matchGroup;for(var C in x)if(n!==C){var S=r[AL.id2name(C)];S._categories=t._categories,S._categoriesMap=t._categoriesMap,T=T.concat(S._traceIndices)}return T};var M=r._d3locale;t.type===\"date\"&&(t._dateFormat=M?M.timeFormat:Mst,t._extraFormat=r._extraFormat),t._separators=r.separators,t._numFormat=M?M.numberFormat:Est,delete t._minDtick,delete t._forceTick0}});var W3=ye((kar,fse)=>{\"use strict\";var lse=Eo(),oB=Pr(),Pst=fs().BADNUM,kL=oB.isArrayOrTypedArray,Ist=oB.isDateTime,Rst=oB.cleanNumber,use=Math.round;fse.exports=function(t,r,n){var i=t,a=n.noMultiCategory;if(kL(i)&&!i.length)return\"-\";if(!a&&Ost(i))return\"multicategory\";if(a&&Array.isArray(i[0])){for(var o=[],s=0;s<i.length;s++)if(kL(i[s]))for(var l=0;l<i[s].length;l++)o.push(i[s][l]);i=o}if(zst(i,r))return\"date\";var u=n.autotypenumbers!==\"strict\";return qst(i,u)?\"category\":Fst(i,u)?\"linear\":\"-\"};function 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a=e._dtickInit!==e.dtick;/%[fLQsSMX]/.test(i)||(/%[HI]/.test(i)?(t=wm,a&&!n&&e.dtick<wm&&(e.dtick=wm)):/%p/.test(i)?(t=p_,a&&!n&&e.dtick<p_&&(e.dtick=p_)):/%[Aadejuwx]/.test(i)?(t=qv,a&&!n&&e.dtick<qv&&(e.dtick=qv)):/%[UVW]/.test(i)?(t=Zp,a&&!n&&e.dtick<Zp&&(e.dtick=Zp)):/%[Bbm]/.test(i)?(t=Y3,a&&(n?dB(e.dtick)<1:e.dtick<zL)&&(e.dtick=\"M1\")):/%[q]/.test(i)?(t=pB,a&&(n?dB(e.dtick)<3:e.dtick<FL)&&(e.dtick=\"M3\")):/%[Yy]/.test(i)&&(t=RL,a&&(n?dB(e.dtick)<12:e.dtick<DL)&&(e.dtick=\"M12\")))}n=r(),n&&e.tick0===e._dowTick0&&(e.tick0=e._rawTick0),e._definedDelta=t}function dlt(e,t,r){for(var n=0;n<e.length;n++){var i=e[n].value,a=n,o=n+1;n<e.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s=e[a].value,l=e[o].value,u=Math.abs(l-s),c=r||u,f=0;c>=DL?u>=DL&&u<=Qst?f=u:f=RL:r===pB&&c>=FL?u>=FL&&u<=elt?f=u:f=pB:c>=zL?u>=zL&&u<=tlt?f=u:f=Y3:r===Zp&&c>=Zp?f=Zp:c>=qv?f=qv:r===p_&&c>=p_?f=p_:r===wm&&c>=wm&&(f=wm);var h;f>=u&&(f=u,h=!0);var d=i+f;if(t.rangebreaks&&f>0){for(var v=84,m=0,b=0;b<v;b++){var p=(b+.5)/v;t.maskBreaks(i*(1-p)+p*d)!==BL&&m++}f*=m/v,f||(e[n].drop=!0),h&&u>Zp&&(f=u)}(f>0||n===0)&&(e[n].periodX=i+f/2)}}$n.calcTicks=function(t,r){for(var n=t.type,i=t.calendar,a=t.ticklabelstep,o=t.ticklabelmode===\"period\",s=t.range[0]>t.range[1],l=!t.ticklabelindex||Wo.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],u=Wo.simpleMap(t.range,t.r2l,void 0,void 0,r),c=u[1]<u[0],f=Math.min(u[0],u[1]),h=Math.max(u[0],u[1]),d=Math.max(1e3,t._length||0),v=[],m=[],b=[],p=[],k=[],M=t.minor&&(t.minor.ticks||t.minor.showgrid),T=M||l,L=1;L>=(T?0:1);L--){var x=!L;L?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):T&&(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var C=L?t:Wo.extendFlat({},t,T?t.minor:{minor:{}});if(x?$n.prepMinorTicks(C,t,r):$n.prepTicks(C,r),C.tickmode===\"array\"){L?(b=[],v=Mse(t,!x)):(p=[],m=Mse(t,!x));continue}if(C.tickmode===\"sync\"){b=[],v=vlt(t);continue}var S=wB(u),g=S[0],P=S[1],E=zh(C.dtick),z=n===\"log\"&&!(E||C.dtick.charAt(0)===\"L\"),q=$n.tickFirst(C,r);if(L){if(t._tmin=q,q<g!==c)break;(n===\"category\"||n===\"multicategory\")&&(P=c?Math.max(-.5,P):Math.min(t._categories.length-.5,P))}var V=null,G=q,Z;if(L){var j;E?j=t.dtick:n===\"date\"?typeof t.dtick==\"string\"&&t.dtick.charAt(0)===\"M\"&&(j=Y3*t.dtick.substring(1)):j=t._roughDTick,Z=Math.round((t.r2l(G)-t.r2l(t.tick0))/j)-1}var N=C.dtick;for(C.rangebreaks&&C._tick0Init!==C.tick0&&(G=vB(G,t),c||(G=$n.tickIncrement(G,N,!c,i))),(L||l)&&o&&(G=$n.tickIncrement(G,N,!c,i),L&&Z--);c?G>=P:G<=P;G=$n.tickIncrement(G,N,c,i)){if(L&&Z++,C.rangebreaks&&!c){if(G<g)continue;if(C.maskBreaks(G)===BL&&vB(G,C)>=h)break}if(b.length>d||G===V)break;V=G;var H={value:G};L?(z&&G!==(G|0)&&(H.simpleLabel=!0),a>1&&Z%a&&(H.skipLabel=!0),b.push(H)):(H.minor=!0,p.push(H))}}if(!p||p.length<3)l=!1;else{var re=(p[2].value-p[1].value)*(s?-1:1);Blt(re,t.tickformat)||(l=!1,p=p.slice(1))}if(!l)k=b;else{var ae=b.concat(p);o&&b.length&&(ae=ae.slice(1)),ae=ae.sort(function(Vt,rr){return Vt.value-rr.value}).filter(function(Vt,rr,tt){return rr===0||Vt.value!==tt[rr-1].value});var _e=ae.map(function(Vt,rr){return Vt.minor===void 0&&!Vt.skipLabel?rr:null}).filter(function(Vt){return Vt!==null});_e.forEach(function(Vt){l.map(function(rr){var tt=Vt+rr;tt>=0&&tt<ae.length&&Wo.pushUnique(k,ae[tt])})}),b.forEach(function(Vt){Vt.skipLabel=k.indexOf(Vt)===-1})}if(M){var Ee=t.minor.ticks===\"inside\"&&t.ticks===\"outside\"||t.minor.ticks===\"outside\"&&t.ticks===\"inside\";if(!Ee){for(var Ce=b.map(function(Vt){return Vt.value}),ge=[],ie=0;ie<p.length;ie++){var Se=p[ie],ke=Se.value;if(Ce.indexOf(ke)===-1){for(var be=!1,Be=0;!be&&Be<b.length;Be++)1e7+b[Be].value===1e7+ke&&(be=!0);be||ge.push(Se)}}p=ge}}o&&dlt(k,t,t._definedDelta);var Le;if(t.rangebreaks){var me=t._id.charAt(0)===\"y\",Pe=1;t.tickmode===\"auto\"&&(Pe=t.tickfont?t.tickfont.size:12);var ce=NaN;for(Le=b.length-1;Le>-1;Le--){if(b[Le].drop){b.splice(Le,1);continue}b[Le].value=vB(b[Le].value,t);var He=t.c2p(b[Le].value);(me?ce>He-Pe:ce<He+Pe)?b.splice(c?Le+1:Le,1):ce=He}}MB(t)&&Math.abs(u[1]-u[0])===360&&b.pop(),t._tmax=(b[b.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var lt,mt=function(Vt){Vt.text=\"\",t._prevDateHead=lt};b=b.concat(p);function Ht(Vt,rr){var tt=$n.tickText(Vt,rr.value,!1,rr.simpleLabel),je=rr.periodX;return je!==void 0&&(tt.periodX=je,(je>h||je<f)&&(je>h&&(tt.periodX=h),je<f&&(tt.periodX=f),mt(tt))),tt}var at;for(Le=0;Le<b.length;Le++){var ct=b[Le].minor,ar=b[Le].value;ct?(l&&k.indexOf(b[Le])!==-1?at=Ht(t,b[Le]):at={x:ar},at.minor=!0,m.push(at)):(lt=t._prevDateHead,at=Ht(t,b[Le]),b[Le].skipLabel&&mt(at),v.push(at))}return o&&l&&m.length&&(m[0].noTick=!0),v=v.concat(m),t._inCalcTicks=!1,o&&v.length&&(v[0].noTick=!0),v};function Rse(e,t){return e.rangebreaks&&(t=t.filter(function(r){return e.maskBreaks(r.x)!==BL})),t}function vlt(e){var t=e._mainAxis,r=[];if(t._vals){for(var n=0;n<t._vals.length;n++)if(!t._vals[n].noTick){var i=t.l2p(t._vals[n].x),a=e.p2l(i),o=$n.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=Rse(e,r),r}function Mse(e,t){var r=Wo.simpleMap(e.range,e.r2l),n=wB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Wo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=$n.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=Rse(e,s),s}var PL=[2,5,10],Ese=[1,2,3,6,12],kse=[1,2,5,10,15,30],plt=[1,2,3,7,14],Dse=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],Fse=[-.301,0,.301,.699,1],glt=[15,30,45,90,180];function bm(e,t,r){return t*Wo.roundUp(e/t,r)}$n.autoTicks=function(e,t,r){var n;function i(f){return Math.pow(f,Math.floor(Math.log(t)/Math.LN10))}if(e.type===\"date\"){e.tick0=Wo.dateTick0(e.calendar,0);var a=2*t;if(a>RL)t/=RL,n=i(10),e.dtick=\"M\"+12*bm(t,n,PL);else if(a>Y3)t/=Y3,e.dtick=\"M\"+bm(t,1,Ese);else if(a>qv){if(e.dtick=bm(t,qv,e._hasDayOfWeekBreaks?[1,2,7,14]:plt),!r){var o=$n.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Wo.dateTick0(e.calendar,2):e.tick0=Wo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>wm?e.dtick=bm(t,wm,Ese):a>pM?e.dtick=bm(t,pM,kse):a>qL?e.dtick=bm(t,qL,kse):(n=i(10),e.dtick=bm(t,n,PL))}else if(e.type===\"log\"){e.tick0=0;var l=Wo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+bm(t,n,PL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):MB(e)?(e.tick0=0,n=1,e.dtick=bm(t,n,glt)):(e.tick0=0,n=i(10),e.dtick=bm(t,n,PL));if(e.dtick===0&&(e.dtick=1),!zh(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function zse(e){var t=e.dtick;if(e._tickexponent=0,!zh(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.slice(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.slice(1)%12===0?\"y\":\"m\";else if(t>=qv&&i<=10||t>=qv*15)e._tickround=\"d\";else if(t>=pM&&i<=16||t>=wm)e._tickround=\"M\";else if(t>=qL&&i<=19||t>=pM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(zh(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);zh(t)||(t=Number(t.slice(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(K3(e.exponentformat)&&e.exponentformat!==\"SI extended\"&&!TB(l)||K3(e.exponentformat)&&e.exponentformat===\"SI extended\"&&!AB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}$n.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(zh(t))return Wo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.slice(1));if(a===\"M\")return Wo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?Fse:Dse,l=e+i*.01,u=Wo.roundUp(Wo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};$n.tickFirst=function(e,t){var r=e.r2l||Number,n=Wo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=wB(n)[0],s=e.dtick,l=r(e.tick0);if(zh(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Wo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.slice(1));if(c===\"M\"){for(var h=0,d=l,v,m,b;h<10;){if(v=$n.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);m=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(m))||1)*f,d=$n.tickIncrement(d,b,m<0?!i:i,e.calendar),h++}return Wo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var p=s===\"D2\"?Fse:Dse,k=Wo.roundUp(Wo.mod(o,1),p,i);return Math.floor(o)+Math.log(w0.round(Math.pow(10,k),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};$n.tickText=function(e,t,r,n){var i=qse(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var p=e.l2p(b);return p>=0&&p<=e._length?b:null};if(a&&Wo.isArrayOrTypedArray(e.ticktext)){var f=Wo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var p={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==p}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?mlt(e,i,r,o):s===\"log\"?ylt(e,i,r,o,v):s===\"category\"?_lt(e,i):s===\"multicategory\"?xlt(e,i,r):MB(e)?wlt(e,i,r,o,v):blt(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var m=e.labelalias[i.text];typeof m==\"string\"&&(i.text=m)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};$n.hoverLabelText=function(e,t,r){r&&(e=Wo.extendFlat({},e,{hoverformat:r}));var n=Wo.isArrayOrTypedArray(t)?t[0]:t,i=Wo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return $n.hoverLabelText(e,n,r)+\" - \"+$n.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=$n.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":Bb+o:o};function qse(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function mlt(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||$n.getTickFormat(e);n=!a&&n,n&&(zh(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Wo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
+       "`);if(l!==-1&&(s=o.slice(l+1),o=o.slice(0,l)),n&&(s!==void 0&&(o===\"00:00:00\"||o===\"00:00\")?(o=s,s=\"\"):o.length===8&&(o=o.replace(/:00$/,\"\"))),s)if(r)i===\"d\"?o+=\", \"+s:o=s+(o?\", \"+o:\"\");else if(!e._inCalcTicks||e._prevDateHead!==s)e._prevDateHead=s,o+=\"<br>\"+s;else{var u=yM(e),c=e._trueSide||e.side;(!u&&c===\"top\"||u&&c===\"bottom\")&&(o+=\"<br> \")}t.text=o}function ylt(e,t,r,n,i){var a=e.dtick,o=t.x,s=e.tickformat,l=typeof a==\"string\"&&a.charAt(0);if(i===\"never\"&&(i=\"\"),n&&l!==\"L\"&&(a=\"L3\",l=\"L\"),s||l===\"L\")t.text=mM(Math.pow(10,o),e,i,n);else if(zh(a)||l===\"D\"&&(e.minorloglabels===\"complete\"||Wo.mod(o+.01,1)<.1)){var u;e.minorloglabels===\"complete\"&&!(Wo.mod(o+.01,1)<.1)&&(u=!0,t.fontSize*=.75);var c=Math.pow(10,o).toExponential(0),f=c.split(\"e\"),h=+f[1],d=Math.abs(h),v=e.exponentformat;v===\"power\"||K3(v)&&v!==\"SI extended\"&&TB(h)||K3(v)&&v===\"SI 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Le=Object.keys(t._linepositions||{});for(a=0;a<Le.length;a++){o=Le[a],s=l._plots[o];var me=t._linepositions[o]||[],Pe=me[0],ce=me[1],He=me[2],lt=$n.makeTickPath(t,Pe,He?_e[0]:Ee[0],{minor:He})+$n.makeTickPath(t,ce,He?_e[1]:Ee[1],{minor:He});$n.drawTicks(e,t,{vals:g,layer:s[c+\"axislayer\"],path:lt,transFn:C})}}var mt=[];if(mt.push(function(){return $n.drawLabels(e,t,{vals:M,layer:m,plotinfo:s,transFn:S,labelFns:$n.makeLabelFns(t,p)})}),t.type===\"multicategory\"){var Ht={x:2,y:10}[c];mt.push(function(){var ct={x:\"height\",y:\"width\"}[c],ar=x()[ct]+Ht+(t._tickAngles[u+\"tick\"]?t.tickfont.size*gM:0);return $n.drawLabels(e,t,{vals:Elt(t,M),layer:m,cls:u+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:C,labelFns:$n.makeLabelFns(t,p+ar*_e[4])})}),mt.push(function(){return t._depth=_e[4]*(x(\"tick2\")[t.side]-p),Plt(e,t,{vals:G,layer:m,path:$n.makeTickPath(t,p,_e[4],{len:t._depth}),transFn:C})})}else t.title.hasOwnProperty(\"standoff\")&&mt.push(function(){t._depth=_e[4]*(x()[t.side]-p)});var at=dM.getComponentMethod(\"rangeslider\",\"isVisible\")(t);return!r.skipTitle&&!(at&&t.side===\"bottom\")&&mt.push(function(){return Ilt(e,t)}),mt.push(function(){var ct=t.side.charAt(0),ar=nlt[t.side].charAt(0),Vt=$n.getPxPosition(e,t),rr=z?t.ticklen:0,tt,je,Ue,Ae;(t.automargin||at||t._shiftPusher)&&(t.type===\"multicategory\"?tt=x(\"tick2\"):(tt=x(),c===\"x\"&&ct===\"b\"&&(t._depth=Math.max(tt.width>0?tt.bottom-Vt:0,rr))));var rt=0,St=0;if(t._shiftPusher&&(rt=Math.max(rr,tt.height>0?ct===\"l\"?Vt-tt.left:tt.right-Vt:0),t.title.text!==l._dfltTitle[c]&&(St=(t._titleStandoff||0)+(t._titleScoot||0),ct===\"l\"&&(St+=Lse(t))),t._fullDepth=Math.max(rt,St)),t.automargin){je={x:0,y:0,r:0,l:0,t:0,b:0};var Tt=[0,1],dt=typeof t._shift==\"number\"?t._shift:0;if(c===\"x\"){if(ct===\"b\"?je[ct]=t._depth:(je[ct]=t._depth=Math.max(tt.width>0?Vt-tt.top:0,rr),Tt.reverse()),tt.width>0){var 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t.automargin==\"string\"&&(Cse(je,t.automargin),Cse(Ue,t.automargin)),X3.autoMargin(e,SB(t),je),X3.autoMargin(e,Nse(t),Ue),X3.autoMargin(e,Use(t),Ae)}),Wo.syncOrAsync(mt)}};function Cse(e,t){if(e){var r=Object.keys(wse).reduce(function(n,i){return t.indexOf(i)!==-1&&wse[i].forEach(function(a){n[a]=1}),n},{});Object.keys(e).forEach(function(n){r[n]||(n.length===1?e[n]=0:delete e[n])})}}function Mlt(e,t){var r=[],n,i=function(a,o){var s=a.xbnd[o];s!==null&&r.push(Wo.extendFlat({},a,{x:s}))};if(t.length){for(n=0;n<t.length;n++)i(t[n],0);i(t[n-1],1)}return r}function Elt(e,t){for(var r=[],n={},i=0;i<t.length;i++){var a=t[i];n[a.text2]?n[a.text2].push(a.x):n[a.text2]=[a.x]}for(var o in n)r.push(qse(e,Wo.interp(n[o],.5),o));return r}function klt(e,t){var r=[],n,i,a=t.length&&t[t.length-1].x<t[0].x,o=function(l,u){var c=l.xbnd[u];c!==null&&r.push(Wo.extendFlat({},l,{x:c}))};if(e.showdividers&&t.length){for(n=0;n<t.length;n++){var s=t[n];s.text2!==i&&o(s,a?1:0),i=s.text2}o(t[n-1],a?0:1)}return 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Se=ie.K===\"tick\"&&ie.L===\"text\"&&t.ticklabelmode===\"period\",ke=n._plots[t._mainSubplot],be;if(ie.K===gB.K){var Be=a?ke.zerolinelayerAbove:ke.zerolinelayer;be=Be.selectAll(\".\"+t._id+\"zl\")}else ie.K===yB.K?be=ke.minorGridlayer.selectAll(\".\"+t._id):ie.K===mB.K?be=ke.gridlayer.selectAll(\".\"+t._id):be=ke[t._id.charAt(0)+\"axislayer\"];be.each(function(){var Le=w0.select(this);ie.L&&(Le=Le.selectAll(ie.L)),Le.each(function(me){var Pe=t.l2p(Se?_B(me):me.x)+t._offset,ce=w0.select(this);Pe<t[\"_visibleLabelMax_\"+Ce._id]&&Pe>t[\"_visibleLabelMin_\"+Ce._id]?ce.style(\"display\",\"none\"):ie.K===\"tick\"&&!ge&&ce.node().style.display!==\"none\"&&ce.style(\"display\",null)})})})})},d(f,c+1?c:u);function v(){return h.length&&Promise.all(h)}var m=null;function b(){if(d(f,u),s.length&&t.autotickangles&&(t.type!==\"log\"||String(t.dtick).charAt(0)!==\"D\")){m=t.autotickangles[0];var H=0,re=[],ae,_e=1;f.each(function(je){H=Math.max(H,je.fontSize);var 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a._offset+a._length};function Lse(e){var t=e.title.font.size,r=(e.title.text.match(Ob.BR_TAG_ALL)||[]).length;return e.title.hasOwnProperty(\"standoff\")?t*(Nb+r*gM):r?t*(r+1)*gM:t}function Ilt(e,t){var r=e._fullLayout,n=t._id,i=n.charAt(0),a=t.title.font.size,o,s=(t.title.text.match(Ob.BR_TAG_ALL)||[]).length;if(t.title.hasOwnProperty(\"standoff\"))t.side===\"bottom\"||t.side===\"right\"?o=t._depth+t.title.standoff+a*Nb:(t.side===\"top\"||t.side===\"left\")&&(o=t._depth+t.title.standoff+a*(hM+s*gM));else{var l=yM(t);if(t.type===\"multicategory\")o=t._depth;else{var u=1.5*a;l&&(u=.5*a,t.ticks===\"outside\"&&(u+=t.ticklen)),o=10+u+(t.linewidth?t.linewidth-1:0)}l||(i===\"x\"?o+=t.side===\"top\"?a*(t.showticklabels?1:0):a*(t.showticklabels?1.5:.5):o+=t.side===\"right\"?a*(t.showticklabels?1:.5):a*(t.showticklabels?.5:0))}var 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lt=XL(He,n,v);j=Math.max(j,lt),N+=lt}),P=null;var H=0;if(u){var re=0,ae=0,_e=0;t.each(function(){var He=0,lt=0;np.select(this).selectAll(\"g.traces\").each(function(Ht){var at=XL(Ht,n,v),ct=Ht[0].height;ph.setTranslate(this,E[0],E[1]+f+d+ct/2+lt),lt+=ct,He=Math.max(He,at),T[Ht[0].trace.legendgroup]=He});var mt=He+d;ae>0&&mt+f+ae>n._maxWidth?(H=Math.max(H,ae),ae=0,_e+=re+M,re=lt):re=Math.max(re,lt),ph.setTranslate(this,ae,_e),ae+=mt}),n._width=Math.max(H,ae)+f,n._height=_e+re+m}else{var Ee=r.size(),Ce=N+h+(Ee-1)*d<n._maxWidth,ge=0,ie=0,Se=0,ke=0;r.each(function(He){var lt=He[0].height,mt=XL(He,n,v,u),Ht=Ce?mt:j;c||(Ht+=d),Ht+f+ie-d>=n._maxWidth&&(H=Math.max(H,ke),ie=0,Se+=ge,n._height+=ge,ge=0),ph.setTranslate(this,E[0]+f+ie,E[1]+f+Se+lt/2+d),ke=ie+mt+d,ie+=Ht,ge=Math.max(ge,lt)}),Ce?(n._width=ie+h,n._height=ge+m):(n._width=Math.max(H,ke)+h,n._height+=ge+m)}}n._width=Math.ceil(Math.max(n._width+E[0],n._titleWidth+2*(f+qh.titlePad))),n._height=Math.ceil(Math.max(n._height+E[1],n._titleHeight+2*(f+qh.itemGap))),n._effHeight=Math.min(n._height,n._maxHeight);var be=e._context.edits,Be=be.legendText||be.legendPosition;r.each(function(He){var lt=np.select(this).select(\".\"+o+\"toggle\"),mt=He[0].height,Ht=He[0].trace.legendgroup,at=XL(He,n,v);u&&Ht!==\"\"&&(at=T[Ht]);var ct=Be?v:P||at;!l&&!c&&(ct+=d/2),ph.setRect(lt,0,-mt/2,ct,mt)});var Le=i.select(\".\"+o+\"titletext\");Le.node()&&yut(Le,n,f);var me=i.select(\".\"+o+\"titletoggle\");if(me.size()&&Le.node()){var 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Ht(Vi,Jn){for(H=0;H<G.length;H++)if(re=G[H],!(!re||!re[0]||!re[0].trace)&&(ae=re[0].trace,!(ae.visible!==!0||ae._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(ae._module.name)===-1)){if(Ce=h,kg.isUnifiedHover(Ce)&&(Ce=Ce.charAt(0)),ae.type===\"splom\"?(Ee=0,_e=a[Ee]):(_e=kg.getSubplot(ae),Ee=a.indexOf(_e)),Se={cd:re,trace:ae,xa:C[Ee],ya:S[Ee],maxHoverDistance:z,maxSpikeDistance:q,index:!1,distance:Math.min(mt,z),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:vd.defaultLine,name:ae.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},s[_e]&&(Se.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[ae.uid]&&(Se.scene=s._splomScenes[ae.uid]),Ce===\"array\"){var Yn=t[H];if(\"pointNumber\"in Yn){let Hi=re[Yn.pointNumber];Hi&&(Se.index=Yn.pointNumber,Hi.lonlat?(ge=Hi.lonlat[0],ie=Hi.lonlat[1]):(ge=Hi.x,ie=Hi.y)),Ce=\"closest\"}else Ce=\"\",\"xval\"in Yn&&(ge=Yn.xval,Ce=\"x\"),\"yval\"in Yn&&(ie=Yn.yval,Ce=Ce?\"closest\":\"y\")}else Vi!==void 0&&Jn!==void 0?(ge=Vi,ie=Jn):(ge=Z[Ee],ie=j[Ee]);if(ke=V.length,z!==0)if(ae._module&&ae._module.hoverPoints){var Gt=ae._module.hoverPoints(Se,ge,ie,Ce,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(Gt)for(var wt,tr=0;tr<Gt.length;tr++)wt=Gt[tr],Ry(wt.x0)&&Ry(wt.y0)&&V.push(Uut(wt,h))}else zf.log(\"Unrecognized trace type in hover:\",ae);if(h===\"closest\"&&V.length>ke&&(V.splice(0,ke),mt=V[0].distance),f&&q!==0&&V.length===0){Se.distance=q,Se.index=!1;var ir=ae._module.hoverPoints(Se,ge,ie,\"closest\",{hoverLayer:s._hoverlayer});if(ir&&(ir=ir.filter(function(Hi){return Hi.spikeDistance<=q})),ir&&ir.length){var wr,Xr=ir.filter(function(Hi){return Hi.xa.showspikes&&Hi.xa.spikesnap!==\"hovered data\"});if(Xr.length){var ti=Xr[0];Ry(ti.x0)&&Ry(ti.y0)&&(wr=ct(ti),(!be.vLinePoint||be.vLinePoint.spikeDistance>wr.spikeDistance)&&(be.vLinePoint=wr))}var $r=ir.filter(function(Hi){return Hi.ya.showspikes&&Hi.ya.spikesnap!==\"hovered data\"});if($r.length){var Ri=$r[0];Ry(Ri.x0)&&Ry(Ri.y0)&&(wr=ct(Ri),(!be.hLinePoint||be.hLinePoint.spikeDistance>wr.spikeDistance)&&(be.hLinePoint=wr))}}}}}Ht();function at(Vi,Jn,Yn){for(var Gt=null,wt=1/0,tr,ir=0;ir<Vi.length;ir++)m&&m._id!==Vi[ir].xa._id||b&&b._id!==Vi[ir].ya._id||(tr=Vi[ir].spikeDistance,Yn&&ir===0&&(tr=-1/0),tr<=wt&&tr<=Jn&&(Gt=Vi[ir],wt=tr));return Gt}function ct(Vi){return Vi?{xa:Vi.xa,ya:Vi.ya,x:Vi.xSpike!==void 0?Vi.xSpike:(Vi.x0+Vi.x1)/2,y:Vi.ySpike!==void 0?Vi.ySpike:(Vi.y0+Vi.y1)/2,distance:Vi.distance,spikeDistance:Vi.spikeDistance,curveNumber:Vi.trace.index,color:Vi.color,pointNumber:Vi.index}:null}var ar={fullLayout:s,container:s._hoverlayer,event:t},Vt=e._spikepoints,rr={vLinePoint:be.vLinePoint,hLinePoint:be.hLinePoint};e._spikepoints=rr;var tt=function(){var Vi=V.filter(function(Yn){return m&&m._id===Yn.xa._id&&b&&b._id===Yn.ya._id}),Jn=V.filter(function(Yn){return!(m&&m._id===Yn.xa._id&&b&&b._id===Yn.ya._id)});Vi.sort(Ble),Jn.sort(Ble),V=Vi.concat(Jn),V=Gut(V,h)};tt();var je=h.charAt(0),Ue=(je===\"x\"||je===\"y\")&&V[0]&&zut[V[0].trace.type];if(f&&q!==0&&V.length!==0){var Ae=V.filter(function(Vi){return Vi.ya.showspikes}),rt=at(Ae,q,Ue);be.hLinePoint=ct(rt);var St=V.filter(function(Vi){return Vi.xa.showspikes}),Tt=at(St,q,Ue);be.vLinePoint=ct(Tt)}if(V.length===0){var dt=$L.unhoverRaw(e,t);if(f&&(be.hLinePoint!==null||be.vLinePoint!==null)&&Vle(Vt)&&Ule(e,be,ar),s.hoveranywhere&&!n&&i){var Et=e._hoverdata;Et&&Et.length&&(e.emit(\"plotly_unhover\",{event:t,points:Et}),e._hoverdata=[]),Qn([])}return dt}if(f&&Vle(Vt)&&Ule(e,be,ar),kg.isXYhover(Ce)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var pt=V[0];Ole[pt.trace.type]?V=V.filter(Vi=>Vi.trace.index===pt.trace.index):V=[pt];var jt=V.length,or=Hle(\"x\",pt,s),mr=Hle(\"y\",pt,s);Ht(or,mr);var Ar=[],ei={},qr=0,jr=function(Vi){var Jn=Ole[Vi.trace.type]?Wle(Vi):Vi.trace.index;if(!ei[Jn])qr++,ei[Jn]=qr,Ar.push(Vi);else{var Yn=ei[Jn]-1,Gt=Ar[Yn];Yn>0&&Math.abs(Vi.distance)<Math.abs(Gt.distance)&&(Ar[Yn]=Vi)}},gt;for(gt=0;gt<jt;gt++)jr(V[gt]);for(gt=V.length-1;gt>jt-1;gt--)jr(V[gt]);V=Ar,tt()}var Ge=e._hoverdata,Je=[],We=Kle(e),et=Jle(e);for(let Vi of V){var xt=kg.makeEventData(Vi,Vi.trace,Vi.cd);if(Vi.hovertemplate!==!1){var At=!1;Vi.cd[Vi.index]&&Vi.cd[Vi.index].ht&&(At=Vi.cd[Vi.index].ht),Vi.hovertemplate=At||Vi.trace.hovertemplate||!1}if(Vi.xa&&Vi.ya){var Kt=Vi.x0+Vi.xa._offset,Qt=Vi.x1+Vi.xa._offset,Mr=Vi.y0+Vi.ya._offset,Gr=Vi.y1+Vi.ya._offset,Ir=Math.min(Kt,Qt),Yr=Math.max(Kt,Qt),_i=Math.min(Mr,Gr),Pi=Math.max(Mr,Gr);xt.bbox={x0:Ir+et,x1:Yr+et,y0:_i+We,y1:Pi+We},xt.xPixel=(Kt+Qt)/2,xt.yPixel=(Mr+Gr)/2}Vi.eventData=[xt],Je.push(xt)}e._hoverdata=Je;var ai=h===\"y\"&&(G.length>1||V.length>1)||h===\"closest\"&&Be&&V.length>1,mi=vd.combine(s.plot_bgcolor||vd.background,s.paper_bgcolor),un=Xle(V,{gd:e,hovermode:h,rotateLabels:ai,bgColor:mi,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),Fn=un.hoverLabels;if(kg.isUnifiedHover(h)||(But(Fn,ai,s,un.commonLabelBoundingBox),Yle(Fn,ai,s._invScaleX,s._invScaleY)),i&&i.tagName){var An=iT.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Je);Cut(Wb.select(i),An?\"pointer\":\"\")}var Hn=Vut(e,t,Ge);if(!i||n||!Hn&&!s.hoveranywhere)return;Ge&&Hn&&e.emit(\"plotly_unhover\",{event:t,points:Ge}),Qn(e._hoverdata);function Qn(Vi){e.emit(\"plotly_hover\",{event:t,points:Vi,xaxes:C,yaxes:S,xvals:Z,yvals:j})}}function Wle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var Out=/<extra>([\\s\\S]*)<\\/extra>/;function Xle(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||Xb.HOVERFONT,f=t.fontSize||Xb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,m=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,p=t.fontShadow||n.font.shadow,k=e[0],M=k.xa,T=k.ya,L=i.charAt(0),x=L+\"Label\",C=k[x];if(C===void 0&&M.type===\"multicategory\")for(var S=0;S<e.length&&(C=e[S][x],C===void 0);S++);var g=rT(r,l),P=g.top,E=g.width,z=g.height,q=C!==void 0&&k.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(q){var V=!0,G,Z;for(G=0;G<e.length;G++)if(V&&e[G].zLabel===void 0&&(V=!1),Z=e[G].hoverinfo||e[G].trace.hoverinfo,Z){var j=Array.isArray(Z)?Z:Z.split(\"+\");if(j.indexOf(\"all\")===-1&&j.indexOf(i)===-1){q=!1;break}}V&&(q=!1)}var N=s.selectAll(\"g.axistext\").data(q?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var H={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var dt=Wb.select(this),Et=zf.ensureSingle(dt,\"path\",\"\",function(_i){_i.style({\"stroke-width\":\"1px\"})}),pt=zf.ensureSingle(dt,\"text\",\"\",function(_i){_i.attr(\"data-notex\",1)}),jt=u.bgcolor||vd.defaultLine,or=u.bordercolor||vd.contrast(jt),mr=vd.contrast(jt),Ar=u.font,ei={weight:Ar.weight||h,style:Ar.style||d,variant:Ar.variant||v,textcase:Ar.textcase||m,lineposition:Ar.lineposition||b,shadow:Ar.shadow||p,family:Ar.family||c,size:Ar.size||f,color:Ar.color||mr};Et.style({fill:jt,stroke:or}),pt.text(C).call(Am.font,ei).call(A0.positionText,0,0).call(A0.convertToTspans,r),dt.attr(\"transform\",\"\");var qr=rT(r,pt.node()),jr,gt;if(i===\"x\"){var Ge=M.side===\"top\"?\"-\":\"\";pt.attr(\"text-anchor\",\"middle\").call(A0.positionText,0,M.side===\"top\"?P-qr.bottom-Qc-ol:P-qr.top+Qc+ol),jr=M._offset+(k.x0+k.x1)/2,gt=T._offset+(M.side===\"top\"?0:T._length);var Je=qr.width/2+ol,We=jr;jr<Je?We=Je:jr>n.width-Je&&(We=n.width-Je),Et.attr(\"d\",\"M\"+(jr-We)+\",0L\"+(jr-We+Qc)+\",\"+Ge+Qc+\"H\"+Je+\"v\"+Ge+(ol*2+qr.height)+\"H\"+-Je+\"V\"+Ge+Qc+\"H\"+(jr-We-Qc)+\"Z\"),jr=We,H.minX=jr-Je,H.maxX=jr+Je,M.side===\"top\"?(H.minY=gt-(ol*2+qr.height),H.maxY=gt-ol):(H.minY=gt+ol,H.maxY=gt+(ol*2+qr.height))}else{var et,xt,At;T.side===\"right\"?(et=\"start\",xt=1,At=\"\",jr=M._offset+M._length):(et=\"end\",xt=-1,At=\"-\",jr=M._offset),gt=T._offset+(k.y0+k.y1)/2,pt.attr(\"text-anchor\",et),Et.attr(\"d\",\"M0,0L\"+At+Qc+\",\"+Qc+\"V\"+(ol+qr.height/2)+\"h\"+At+(ol*2+qr.width)+\"V-\"+(ol+qr.height/2)+\"H\"+At+Qc+\"V-\"+Qc+\"Z\"),H.minY=gt-(ol+qr.height/2),H.maxY=gt+(ol+qr.height/2),T.side===\"right\"?(H.minX=jr+Qc,H.maxX=jr+Qc+(ol*2+qr.width)):(H.minX=jr-Qc-(ol*2+qr.width),H.maxX=jr-Qc);var Kt=qr.height/2,Qt=P-qr.top-Kt,Mr=\"clip\"+n._uid+\"commonlabel\"+T._id,Gr;if(jr<qr.width+2*ol+Qc){Gr=\"M-\"+(Qc+ol)+\"-\"+Kt+\"h-\"+(qr.width-ol)+\"V\"+Kt+\"h\"+(qr.width-ol)+\"Z\";var Ir=qr.width-jr+ol;A0.positionText(pt,Ir,Qt),et===\"end\"&&pt.selectAll(\"tspan\").each(function(){var _i=Wb.select(this),Pi=Am.tester.append(\"text\").text(_i.text()).call(Am.font,ei),ai=rT(r,Pi.node());Math.round(ai.width)<Math.round(qr.width)&&_i.attr(\"x\",Ir-ai.width),Pi.remove()})}else A0.positionText(pt,xt*(ol+Qc),Qt),Gr=null;var Yr=n._topclips.selectAll(\"#\"+Mr).data(Gr?[0]:[]);Yr.enter().append(\"clipPath\").attr(\"id\",Mr).append(\"path\"),Yr.exit().remove(),Yr.select(\"path\").attr(\"d\",Gr),Am.setClipUrl(pt,Gr?Mr:null,r)}dt.attr(\"transform\",KB(jr,gt))}),kg.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();let dt=e.filter(Et=>Et.hoverinfo!==\"none\");if(dt.length===0)return[];var re=n.hoverlabel,ae=re.font,_e=dt[0],Ee=((i===\"x unified\"?_e.xa:_e.ya).unifiedhovertitle||{}).text,Ce=Ee?zf.hovertemplateString({data:i===\"x unified\"?[{xa:_e.xa,x:_e.xVal}]:[{ya:_e.ya,y:_e.yVal}],fallback:_e.trace.hovertemplatefallback,locale:n._d3locale,template:Ee}):C,ge={showlegend:!0,legend:{title:{text:Ce,font:ae},font:ae,bgcolor:re.bgcolor,bordercolor:re.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},ie={font:ae};Put(ge,ie,r._fullData);var Se=ie.legend;Se.entries=[];for(var ke=0;ke<dt.length;ke++){var be=dt[ke];if(be.hoverinfo!==\"none\"){var Be=Nle(be,!0,i,n,C),Le=Be[0],me=Be[1];be.name=me,me!==\"\"?be.text=me+\" : \"+Le:be.text=Le;var Pe=be.cd[be.index];Pe&&(Pe.mc&&(be.mc=Pe.mc),Pe.mcc&&(be.mc=Pe.mcc),Pe.mlc&&(be.mlc=Pe.mlc),Pe.mlcc&&(be.mlc=Pe.mlcc),Pe.mlw&&(be.mlw=Pe.mlw),Pe.mrc&&(be.mrc=Pe.mrc),Pe.dir&&(be.dir=Pe.dir)),be._distinct=!0,Se.entries.push([be])}}Se.entries.sort(function(Et,pt){var jt=n.hoversort;if(jt===\"value descending\"||jt===\"value ascending\"){var or=i.charAt(0)===\"x\"?\"y\":\"x\",mr=Et[0][or+\"LabelVal\"],Ar=pt[0][or+\"LabelVal\"];if(mr!==Ar)return jt===\"value descending\"?Ar-mr:mr-Ar}return Et[0].trace.index-pt[0].trace.index}),Se.layer=s,Se._inHover=!0,Se._groupTitleFont=re.grouptitlefont,Iut(r,Se);var ce=s.select(\"g.legend\"),He=rT(r,ce.node()),lt=He.width+2*ol,mt=He.height+2*ol,Ht=dt[0],at=(Ht.x0+Ht.x1)/2,ct=(Ht.y0+Ht.y1)/2,ar=!(iT.traceIs(Ht.trace,\"bar-like\")||iT.traceIs(Ht.trace,\"box-violin\")),Vt,rr;L===\"y\"?ar?(rr=ct-ol,Vt=ct+ol):(rr=Math.min.apply(null,dt.map(function(Et){return Math.min(Et.y0,Et.y1)})),Vt=Math.max.apply(null,dt.map(function(Et){return Math.max(Et.y0,Et.y1)}))):rr=Vt=zf.mean(dt.map(function(Et){return(Et.y0+Et.y1)/2}))-mt/2;var tt,je;L===\"x\"?ar?(tt=at+ol,je=at-ol):(tt=Math.max.apply(null,dt.map(function(Et){return Math.max(Et.x0,Et.x1)})),je=Math.min.apply(null,dt.map(function(Et){return Math.min(Et.x0,Et.x1)}))):tt=je=zf.mean(dt.map(function(Et){return(Et.x0+Et.x1)/2}))-lt/2;var Ue=M._offset,Ae=T._offset;Vt+=Ae,tt+=Ue,je+=Ue-lt,rr+=Ae-mt;var rt,St;return tt+lt<E&&tt>=0?rt=tt:je+lt<E&&je>=0?rt=je:Ue+lt<E?rt=Ue:tt-at<at-je+lt?rt=E-lt:rt=0,rt+=ol,Vt+mt<z&&Vt>=0?St=Vt:rr+mt<z&&rr>=0?St=rr:Ae+mt<z?St=Ae:Vt-ct<ct-rr+mt?St=z-mt:St=0,St+=ol,ce.attr(\"transform\",KB(rt-1,St-1)),ce}var Tt=s.selectAll(\"g.hovertext\").data(e,function(dt){return Wle(dt)});return Tt.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var dt=Wb.select(this);dt.append(\"rect\").call(vd.fill,vd.addOpacity(o,.8)),dt.append(\"text\").classed(\"name\",!0),dt.append(\"path\").style(\"stroke-width\",\"1px\"),dt.append(\"text\").classed(\"nums\",!0).call(Am.font,{weight:h,style:d,variant:v,textcase:m,lineposition:b,shadow:p,family:c,size:f})}),Tt.exit().remove(),Tt.each(function(dt){var Et=Wb.select(this).attr(\"transform\",\"\"),pt=dt.color;Array.isArray(pt)&&(pt=pt[dt.eventData[0].pointNumber]);var jt=dt.bgcolor||pt,or=vd.combine(vd.opacity(jt)?jt:vd.defaultLine,o),mr=vd.combine(vd.opacity(pt)?pt:vd.defaultLine,o),Ar=dt.borderColor||vd.contrast(or),ei=Nle(dt,q,i,n,C,Et),qr=ei[0],jr=ei[1],gt=Et.select(\"text.nums\").call(Am.font,{family:dt.fontFamily||c,size:dt.fontSize||f,color:dt.fontColor||Ar,weight:dt.fontWeight||h,style:dt.fontStyle||d,variant:dt.fontVariant||v,textcase:dt.fontTextcase||m,lineposition:dt.fontLineposition||b,shadow:dt.fontShadow||p}).text(qr).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r),Ge=Et.select(\"text.name\"),Je=0,We=0;if(jr&&jr!==qr){Ge.call(Am.font,{family:dt.fontFamily||c,size:dt.fontSize||f,color:mr,weight:dt.fontWeight||h,style:dt.fontStyle||d,variant:dt.fontVariant||v,textcase:dt.fontTextcase||m,lineposition:dt.fontLineposition||b,shadow:dt.fontShadow||p}).text(jr).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r);var et=rT(r,Ge.node());Je=et.width+2*ol,We=et.height+2*ol}else Ge.remove(),Et.select(\"rect\").remove();Et.select(\"path\").style({fill:or,stroke:Ar});var xt=dt.xa._offset+(dt.x0+dt.x1)/2,At=dt.ya._offset+(dt.y0+dt.y1)/2,Kt=Math.abs(dt.x1-dt.x0),Qt=Math.abs(dt.y1-dt.y0),Mr=rT(r,gt.node()),Gr=Mr.width/n._invScaleX,Ir=Mr.height/n._invScaleY;dt.ty0=(P-Mr.top)/n._invScaleY,dt.bx=Gr+2*ol,dt.by=Math.max(Ir+2*ol,We),dt.anchor=\"start\",dt.txwidth=Gr,dt.tx2width=Je,dt.offset=0;var Yr=(Gr+Qc+ol+Je)*n._invScaleX,_i,Pi;if(a)dt.pos=xt,_i=At+Qt/2+Yr<=z,Pi=At-Qt/2-Yr>=0,(dt.idealAlign===\"top\"||!_i)&&Pi?(At-=Qt/2,dt.anchor=\"end\"):_i?(At+=Qt/2,dt.anchor=\"start\"):dt.anchor=\"middle\",dt.crossPos=At;else{if(dt.pos=At,_i=xt+Kt/2+Yr<=E,Pi=xt-Kt/2-Yr>=0,(dt.idealAlign===\"left\"||!_i)&&Pi)xt-=Kt/2,dt.anchor=\"end\";else if(_i)xt+=Kt/2,dt.anchor=\"start\";else{dt.anchor=\"middle\";var ai=Yr/2,mi=xt+ai-E,un=xt-ai;mi>0&&(xt-=mi),un<0&&(xt+=-un)}dt.crossPos=xt}gt.attr(\"text-anchor\",dt.anchor),Je&&Ge.attr(\"text-anchor\",dt.anchor),Et.attr(\"transform\",KB(xt,At)+(a?Eut(jle):\"\"))}),{hoverLabels:Tt,commonLabelBoundingBox:H}}function Nle(e,t,r,n,i,a){var f,h;var o=\"\",s=\"\";e.nameOverride!==void 0&&(e.name=e.nameOverride),e.name&&(e.trace._meta&&(e.name=zf.templateString(e.name,e.trace._meta)),o=Gle(e.name,e.nameLength));var l=r.charAt(0),u=l===\"x\"?\"y\":\"x\";e.zLabel!==void 0?(e.xLabel!==void 0&&(s+=\"x: \"+e.xLabel+\"<br>\"),e.yLabel!==void 0&&(s+=\"y: \"+e.yLabel+\"<br>\"),e.trace.type!==\"choropleth\"&&e.trace.type!==\"choroplethmapbox\"&&e.trace.type!==\"choroplethmap\"&&(s+=(s?\"z: \":\"\")+e.zLabel)):t&&e[l+\"Label\"]===i?s=e[u+\"Label\"]||\"\":e.xLabel===void 0?e.yLabel!==void 0&&e.trace.type!==\"scattercarpet\"&&(s=e.yLabel):e.yLabel===void 0?s=e.xLabel:s=\"(\"+e.xLabel+\", \"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"<br>\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"<br>\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o),(h=(f=e.trace)==null?void 0:f.hoverlabel)!=null&&h.split&&(e.hovertemplate=\"\");let{hovertemplate:c=!1}=e;if(c){let d=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(d[l+\"other\"]=d[l+\"Val\"],d[l+\"otherLabel\"]=d[l+\"Label\"]),s=zf.hovertemplateString({data:[e.eventData[0]||{},e.trace._meta],fallback:e.trace.hovertemplatefallback,labels:d,locale:n._d3locale,template:c}),s=s.replace(Out,(v,m)=>(o=Gle(m,e.nameLength),\"\"))}return[s,o]}function But(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,m=function(Z){return Z*r._invScaleX},b=function(Z){return Z*r._invScaleY};e.each(function(Z){var j=Z[i],N=Z[a],H=j._id.charAt(0)===\"x\",re=j.range;c===0&&re&&re[0]>re[1]!==H&&(s=-1);var 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s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,m=i.label.yanchor,b,p,k,M;if(c===\"line\"){s===\"start\"?(b=e,p=t):s===\"end\"?(b=r,p=n):(b=(e+r)/2,p=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var T={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var x=L[m];k=-u*h*x,M=u*d*x}else{var C=T[v],S=L[m];k=u*C,M=u*S}b=b+k,p=p+M}else k=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-k,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+k,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?p=Math.min(t,n):s.indexOf(\"bottom\")!==-1?p=Math.max(t,n):p=(t+n)/2,M=u,m===\"bottom\"?p=p-M:m===\"top\"&&(p=p+M);var g=Nct[m],P=i.label.font.size,E=o.height,z=(E*g-P)*h,q=-(E*g-P)*d;return{textx:b+z,texty:p+q,xanchor:v}}});var cP=ye((xor,Xue)=>{\"use strict\";var Gct=Pr(),Hct=Gct.strTranslate,Nue=yv(),Gue=Cg(),jct=Gue.drawMode,Hue=Gue.selectMode,jue=Oa(),Uue=ka(),uP=rP(),Wct=uP.i000,Xct=uP.i090,Zct=uP.i180,Yct=uP.i270,Kct=s_(),Wue=Kct.clearOutlineControllers,sN=y_(),lP=sN.pointsOnRectangle,oN=sN.pointsOnEllipse,Jct=sN.writePaths,$ct=sP().newShapes,Qct=sP().createShapeObj,eft=nN(),tft=aN();Xue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(oN(t[0])||n.hasText)&&s({redrawing:!0})}function s(j){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=$ct(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=eft(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&jue.call((j||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=jct(c),h=Hue(c);(f||h)&&(a._fullLayout._outlining=!0),Wue(a),r.attr(\"d\",Jct(t));var 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be=ge[1]-ie,Be=ge[2]-Se,Le=Be?5:Math.max(Math.min(25,Math.abs(be)-5),5),me=be?5:Math.max(Math.min(25,Math.abs(Be)-5),5);ke.classed(Be?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Le).attr(\"height\",me).attr(\"x\",ie-Le/2).attr(\"y\",Se-me/2).attr(\"transform\",Hct(be/2,Be/2))}else ke.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Se);d[N][Ee]={element:ke.node(),gd:a,prepFn:L,doneFn:C,clickFn:g},Nue.init(d[N][Ee])}}}function E(j,N){if(t.length)for(var H=0;H<t.length;H++)for(var re=0;re<t[H].length;re++)for(var ae=0;ae+2<t[H][re].length;ae+=2)t[H][re][ae+1]=p[H][re][ae+1]+j,t[H][re][ae+2]=p[H][re][ae+2]+N}function z(j,N){E(j,N),o()}function q(j){m=+j.srcElement.getAttribute(\"data-i\"),m||(m=0),v[m].moveFn=z}function V(){s()}function G(j){j===2&&ift(a)}function Z(){if(v=[],!!t.length){var j=0;v[j]={element:r[0][0],gd:a,prepFn:q,doneFn:V,clickFn:G},Nue.init(v[j])}}};function rft(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var 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t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&tce(e,i)}function fP(e){return!!e._fullLayout._outlining}function vP(e){return!e._context.edits.shapePosition}function tce(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Ep.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;let a=Array.isArray(n.xref)||Array.isArray(n.yref);if(n.layer===\"above\")s(e._fullLayout._shapeUpperLayer);else if(n.xref.includes(\"paper\")||n.yref.includes(\"paper\"))s(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\"&&!a)s(i.shapelayerBetween);else if(i._hadPlotinfo){var 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a=i.append(\"div\").classed(\"plotly-cloud-dialog\",!0),o=a.append(\"div\").classed(\"plotly-cloud-dialog-box\",!0);o.append(\"div\").classed(\"plotly-cloud-dialog-title\",!0).text(gP(t,\"Share with Plotly Cloud\")),o.append(\"div\").classed(\"plotly-cloud-dialog-message\",!0).text(gP(t,\"This chart and its data will be sent to\")+\" \"+r+\".\");var s=o.append(\"div\").classed(\"plotly-cloud-dialog-buttons\",!0);function l(){a.remove(),document.removeEventListener(\"keydown\",u)}function u(c){(c.key===\"Escape\"||c.keyCode===27)&&l()}document.addEventListener(\"keydown\",u),a.on(\"click\",function(){nce.event.target===a.node()&&l()}),s.append(\"button\").classed(\"plotly-cloud-dialog-btn\",!0).classed(\"plotly-cloud-dialog-btn--cancel\",!0).text(gP(t,\"Cancel\")).on(\"click\",l),s.append(\"button\").classed(\"plotly-cloud-dialog-btn\",!0).classed(\"plotly-cloud-dialog-btn--confirm\",!0).text(gP(t,\"Share\")).on(\"click\",function(){l(),n()})}});var vN=ye((Tor,vce)=>{\"use strict\";var S0=Oa(),dft=Mc(),sce=df(),Gl=eP(),vft=pP().eraseActiveShape,pft=oce(),mP=Pr(),sl=mP._,_l=vce.exports={};_l.toImage={name:\"toImage\",title:function(e){var t=e._context.toImageButtonOptions||{},r=t.format||\"png\";return r===\"png\"?sl(e,\"Download plot as a PNG\"):sl(e,\"Download plot\")},icon:Gl.camera,click:function(e){var t=e._context.toImageButtonOptions,r={format:t.format||\"png\"};mP.notifier(sl(e,\"Taking snapshot - this may take a few seconds\"),\"long\",e),[\"filename\",\"width\",\"height\",\"scale\"].forEach(function(n){n in t&&(r[n]=t[n])}),S0.call(\"downloadImage\",e,r).then(function(n){mP.notifier(sl(e,\"Snapshot succeeded\")+\" - \"+n,\"long\",e)}).catch(function(){mP.notifier(sl(e,\"Sorry, there was a problem downloading your snapshot!\"),\"long\",e)})}};_l.sendChartToCloud={name:\"sendChartToCloud\",title:function(e){return sl(e,\"Share with Plotly Cloud\")},icon:Gl.cloudupload,click:function(e){var t=(window.PLOTLYENV||{}).BASE_URL||e._context.plotlyServerURL;if(!t){console.error(\"No destination URL provided (plotlyServerURL is not set)\");return}try{new URL(t)}catch(r){console.error(\"Invalid plotlyServerURL: \"+t);return}pft(e,t,function(){dft.sendDataToCloud(e,t)})}};_l.sendDataToCloud=_l.sendChartToCloud;_l.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(e){return sl(e,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:Gl.zoombox,click:Bv};_l.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(e){return sl(e,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:Gl.pan,click:Bv};_l.select2d={name:\"select2d\",_cat:\"select\",title:function(e){return sl(e,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:Gl.selectbox,click:Bv};_l.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(e){return sl(e,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:Gl.lasso,click:Bv};_l.drawclosedpath={name:\"drawclosedpath\",title:function(e){return sl(e,\"Draw closed 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0&&(o[v+\".showspikes\"]=u._showSpikeInitial,l===\"on\"&&!u._showSpikeInitial&&(l=\"off\"));else{var b=[u.r2l(u.range[0]),u.r2l(u.range[1])],p=[h*b[0]+d*b[1],h*b[1]+d*b[0]];o[v+\".range[0]\"]=u.l2r(p[0]),o[v+\".range[1]\"]=u.l2r(p[1])}}else n===\"hovermode\"&&(i===\"x\"||i===\"y\")&&(i=a._isHoriz?\"y\":\"x\",r.setAttribute(\"data-val\",i)),o[n]=i;a._cartesianSpikesEnabled=l,S0.call(\"_guiRelayout\",e,o)}_l.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(e){return sl(e,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:Gl.zoombox,click:yP};_l.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(e){return sl(e,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:Gl.pan,click:yP};_l.orbitRotation={name:\"orbitRotation\",title:function(e){return sl(e,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:Gl[\"3d_rotate\"],click:yP};_l.tableRotation={name:\"tableRotation\",title:function(e){return sl(e,\"Turntable 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c=s[u],f=c+\".camera\",h=c+\".aspectratio\",d=c+\".aspectmode\",v=o[c]._scene,m;i?(l[f+\".up\"]=v.viewInitial.up,l[f+\".eye\"]=v.viewInitial.eye,l[f+\".center\"]=v.viewInitial.center,m=!0):a&&(l[f+\".up\"]=null,l[f+\".eye\"]=null,l[f+\".center\"]=null,m=!0),m&&(l[h+\".x\"]=v.viewInitial.aspectratio.x,l[h+\".y\"]=v.viewInitial.aspectratio.y,l[h+\".z\"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}S0.call(\"_guiRelayout\",e,l)}_l.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:gft};function lce(e,t){var r=t.currentTarget,n=r._previousVal,i=e._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var d=0;d<3;d++){var v=o[d],m=c+\".\"+v+\".showspikes\";l[m]=!1,s[m]=f[v].showspikes}}r._previousVal=s}return l}function gft(e,t){var r=lce(e,t);S0.call(\"_guiRelayout\",e,r)}_l.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Gl.zoom_plus,click:dN};_l.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(e){return sl(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:Gl.zoom_minus,click:dN};_l.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(e){return sl(e,\"Reset\")},attr:\"reset\",val:null,icon:Gl.autoscale,click:dN};_l.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:cce};function dN(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o=a._subplots.geo||[],s=0;s<o.length;s++){var l=o[s],u=a[l];if(n===\"zoom\"){var c=u.projection.scale,f=i===\"in\"?2*c:.5*c;S0.call(\"_guiRelayout\",e,l+\".projection.scale\",f)}}n===\"reset\"&&oT(e,\"geo\")}_l.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:Gl.tooltip_basic,gravity:\"ne\",click:cce};function uce(e){var t=e._fullLayout;return t.hovermode?!1:t._has(\"cartesian\")?t._isHoriz?\"y\":\"x\":\"closest\"}function cce(e){var t=uce(e);S0.call(\"_guiRelayout\",e,\"hovermode\",t)}_l.resetViewSankey={name:\"resetSankeyGroup\",title:function(e){return sl(e,\"Reset view\")},icon:Gl.home,click:function(e){for(var t={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<e._fullData.length;r++){var n=e._fullData[r]._viewInitial;t[\"node.groups\"].push(n.node.groups.slice()),t[\"node.x\"].push(n.node.x.slice()),t[\"node.y\"].push(n.node.y.slice())}S0.call(\"restyle\",e,t)}};_l.toggleHover={name:\"toggleHover\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:function(e,t){var r=lce(e,t);r.hovermode=uce(e),S0.call(\"_guiRelayout\",e,r)}};_l.resetViews={name:\"resetViews\",title:function(e){return sl(e,\"Reset views\")},icon:Gl.home,click:function(e,t){var r=t.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),Bv(e,t),r.setAttribute(\"data-attr\",\"resetLastSave\"),hN(e,t),oT(e,\"geo\"),oT(e,\"mapbox\"),oT(e,\"map\")}};_l.toggleSpikelines={name:\"toggleSpikelines\",title:function(e){return sl(e,\"Toggle Spike Lines\")},icon:Gl.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(e){var t=e._fullLayout,r=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled=r===\"on\"?\"off\":\"on\",S0.call(\"_guiRelayout\",e,mft(e))}};function mft(e){for(var t=e._fullLayout,r=t._cartesianSpikesEnabled===\"on\",n=sce.list(e,null,!0),i={},a=0;a<n.length;a++){var o=n[a];i[o._name+\".showspikes\"]=r?!0:o._showSpikeInitial}return i}_l.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(e){return sl(e,\"Reset view\")},attr:\"reset\",icon:Gl.home,click:function(e){oT(e,\"mapbox\")}};_l.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(e){return sl(e,\"Reset view\")},attr:\"reset\",icon:Gl.home,click:function(e){oT(e,\"map\")}};_l.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Gl.zoom_plus,click:fce};_l.zoomInMap={name:\"zoomInMap\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom 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pce=vN(),yft=Object.keys(pce),gce=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],mce=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(gce),sT=[],_ft=function(e){if(mce.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();sT.indexOf(t)===-1&&sT.push(t),sT.indexOf(r)===-1&&sT.push(r)}};yft.forEach(function(e){_ft(pce[e])});sT.sort();yce.exports={DRAW_MODES:gce,backButtons:mce,foreButtons:sT}});var gN=ye((Mor,_ce)=>{\"use strict\";var Sor=pN();_ce.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var bce=ye((Eor,xce)=>{\"use strict\";var xft=Pr(),CM=ka(),bft=vl(),wft=gN();xce.exports=function(t,r){var n=t.modebar||{},i=bft.newContainer(r,\"modebar\");function a(s,l){return xft.coerce(n,i,wft,s,l)}a(\"orientation\"),a(\"bgcolor\",CM.addOpacity(r.paper_bgcolor,.5));var o=CM.contrast(CM.rgb(r.modebar.bgcolor));a(\"color\",CM.addOpacity(o,.3)),a(\"activecolor\",CM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var Sce=ye((kor,Ace)=>{\"use strict\";var mN=Fa(),Tft=Eo(),_P=Pr(),wce=eP(),Aft=OS().version,Sft=new DOMParser;function Tce(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Cm=Tce.prototype;Cm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this.element.setAttribute(\"role\",\"toolbar\"),this._uid=i,this.element.className=\"modebar modebar--custom\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),_P.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Cm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Cm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Cm.createButton=function(e){var t=this,r=document.createElement(\"button\");r.setAttribute(\"type\",\"button\"),r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&(r.setAttribute(\"data-title\",n),r.setAttribute(\"aria-label\",n)),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&mN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||wce.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Cm.createIcon=function(e){var t=Tft(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=Sft.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Cm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=mN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:_P.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Cm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function Mft(e){return e+\" (v\"+Aft+\")\"}Cm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",Mft(_P._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(wce.newplotlylogo)),e.appendChild(t),e};Cm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Cm.destroy=function(){_P.removeElement(this.container.querySelector(\".modebar\"))};function Eft(e,t){var r=e._fullLayout,n=new Tce({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&mN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}Ace.exports=Eft});var kce=ye((Cor,Ece)=>{\"use strict\";var kft=df(),Mce=Ru(),yN=Oa(),Cft=ip().isUnifiedHover,Lft=Sce(),xP=vN(),Pft=pN().DRAW_MODES,Ift=Pr().extendDeep;Ece.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=Oft(a):!n.displayModeBar&&n.watermark?o=[]:o=Rft(t),i?i.update(t,o):r._modeBar=Lft(t,o)};function Rft(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,H){if(typeof H==\"string\"){if(H.toLowerCase()===N.toLowerCase())return!0}else{var re=H.name,ae=H._cat||H.name;if(re===N||ae===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var H=0;H<n.modeBarButtonsToRemove.length;H++)if(i(N,n.modeBarButtonsToRemove[H]))return!1;return!0})),l=n.modeBarButtonsToRemove.concat(o.filter(function(N){for(var H=0;H<n.modeBarButtonsToAdd.length;H++)if(i(N,n.modeBarButtonsToAdd[H]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),m=t._has(\"mapbox\"),b=t._has(\"map\"),p=t._has(\"polar\"),k=t._has(\"smith\"),M=t._has(\"sankey\"),T=Dft(t),L=Cft(t.hovermode),x=[];function C(N){if(N.length){for(var H=[],re=0;re<N.length;re++){for(var ae=N[re],_e=xP[ae],Ee=_e.name.toLowerCase(),Ce=(_e._cat||_e.name).toLowerCase(),ge=!1,ie=0;ie<l.length;ie++){var Se=l[ie].toLowerCase();if(Se===Ee||Se===Ce){ge=!0;break}}ge||H.push(xP[ae])}x.push(H)}}var S=[\"toImage\"];n.showSendToCloud?S.push(\"sendChartToCloud\"):n.showEditInChartStudio&&(console.warn([\"*showEditInChartStudio* is deprecated.\",\"Use *showSendToCloud* instead.\"].join(\" \")),S.push(\"sendChartToCloud\")),C(S);var g=[],P=[],E=[],z=[];(u||h||d||v)+f+c+m+b+p+k>1?(P=[\"toggleHover\"],E=[\"resetViews\"]):f?(g=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],E=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],E=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):m?(g=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],E=[\"resetViewMapbox\"]):b?(g=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],E=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:M?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],E=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(zft(r)||L)&&(P=[]),u&&!T&&(g=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],E[0]!==\"resetViews\"&&(E=[\"resetScale2d\"])),c?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!T||v?z=[\"zoom2d\",\"pan2d\"]:m||b||f?z=[\"pan2d\"]:p&&(z=[\"zoom2d\"]),Fft(r)&&z.push(\"select2d\",\"lasso2d\");var q=[],V=function(N){q.indexOf(N)===-1&&P.indexOf(N)!==-1&&q.push(N)};if(Array.isArray(s)){for(var G=[],Z=0;Z<s.length;Z++){var j=s[Z];typeof j==\"string\"?(j=j.toLowerCase(),Pft.indexOf(j)!==-1?(t._has(\"mapbox\")||t._has(\"map\")||t._has(\"cartesian\"))&&z.push(j):j===\"togglespikelines\"?V(\"toggleSpikelines\"):j===\"togglehover\"?V(\"toggleHover\"):j===\"hovercompare\"?V(\"hoverCompareCartesian\"):j===\"hoverclosest\"?(V(\"hoverClosestCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\")):j===\"v1hovermode\"&&(V(\"hoverClosestCartesian\"),V(\"hoverCompareCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\"))):G.push(j)}s=G}return C(z),C(g.concat(E)),C(q),qft(x,s)}function Dft(e){for(var t=kft.list({_fullLayout:e},null,!0),r=0;r<t.length;r++){var n=t[r].modebardisable;if(!t[r].fixedrange&&n!==\"autoscale+zoominout\"&&n!==\"zoominout+autoscale\")return!1}return!0}function Fft(e){for(var t=!1,r=0;r<e.length&&!t;r++){var n=e[r];!n._module||!n._module.selectPoints||(yN.traceIs(n,\"scatter-like\")?(Mce.hasMarkers(n)||Mce.hasText(n))&&(t=!0):yN.traceIs(n,\"box-violin\")?(n.boxpoints===\"all\"||n.points===\"all\")&&(t=!0):t=!0)}return t}function zft(e){for(var t=0;t<e.length;t++)if(!yN.traceIs(e[t],\"noHover\"))return!1;return!0}function qft(e,t){if(t.length)if(Array.isArray(t[0]))for(var r=0;r<t.length;r++)e.push(t[r]);else e.push(t);return e}function Oft(e){for(var t=Ift([],e),r=0;r<t.length;r++)for(var n=t[r],i=0;i<n.length;i++){var a=n[i];if(typeof a==\"string\")if(xP[a]!==void 0)t[r][i]=xP[a];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return t}});var _N=ye((Lor,Cce)=>{\"use strict\";Cce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:gN(),supplyLayoutDefaults:bce(),manage:kce()}});var xN=ye((Por,Lce)=>{\"use strict\";var Bft=Dh().FROM_BL;Lce.exports=function(t,r,n){n===void 0&&(n=Bft[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*n;t.range=t._input.range=[t.l2r(a+(i[0]-a)*r),t.l2r(a+(i[1]-a)*r)],t.setScale()}});var $b=ye(LM=>{\"use strict\";var Jb=Pr(),bN=Mg(),Lg=df().id2name,Nft=Rd(),Pce=xN(),Uft=xm(),Vft=fs().ALMOST_EQUAL,Gft=Dh().FROM_BL;LM.handleDefaults=function(e,t,r){var n=r.axIds,i=r.axHasImage,a=t._axisConstraintGroups=[],o=t._axisMatchGroups=[],s,l,u,c,f,h,d,v;for(s=0;s<n.length;s++)c=Lg(n[s]),f=e[c],h=t[c],Hft(f,h,{axIds:n,layoutOut:t,hasImage:i[c]});function m(S,g){for(s=0;s<S.length;s++){l=S[s];for(u in l)t[Lg(u)][g]=l}}for(m(o,\"_matchGroup\"),s=0;s<a.length;s++){l=a[s];for(u in l)if(h=t[Lg(u)],h.fixedrange){for(var b in l){var p=Lg(b);(e[p]||{}).fixedrange===!1&&Jb.warn(\"fixedrange was specified as false for axis \"+p+\" but was overridden because another axis in its constraint group has fixedrange true\"),t[p].fixedrange=!0}break}}for(s=0;s<a.length;){l=a[s];for(u in l){h=t[Lg(u)],h._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(l).length&&(a.splice(s,1),s--);break}s++}m(a,\"_constraintGroup\");var k=[\"constrain\",\"range\",\"autorange\",\"rangemode\",\"rangebreaks\",\"categoryorder\",\"categoryarray\"],M=!1,T=!1;function L(){v=h[d],d===\"rangebreaks\"&&(T=h._hasDayOfWeekBreaks)}for(s=0;s<o.length;s++){l=o[s];for(var x=0;x<k.length;x++){d=k[x],v=null;var C;for(u in l)if(c=Lg(u),f=e[c],h=t[c],d in h){if(!h.matches&&(C=h,d in f)){L();break}v===null&&d in f&&L()}if(d===\"range\"&&v&&f.range&&f.range.length===2&&f.range[0]!==null&&f.range[1]!==null&&(M=!0),d===\"autorange\"&&v===null&&M&&(v=!1),v===null&&d in C&&(v=C[d]),v!==null)for(u in l)h=t[Lg(u)],h[d]=d===\"range\"?v.slice():v,d===\"rangebreaks\"&&(h._hasDayOfWeekBreaks=T,Uft(h,t))}}};function Hft(e,t,r){var n=r.axIds,i=r.layoutOut,a=r.hasImage,o=i._axisConstraintGroups,s=i._axisMatchGroups,l=t._id,u=l.charAt(0),c=((i._splomAxes||{})[u]||{})[l]||{},f=t._id,h=f.charAt(0)===\"x\";t._matchGroup=null,t._constraintGroup=null;function d(z,q){return Jb.coerce(e,t,Nft,z,q)}d(\"constrain\",a?\"domain\":\"range\"),Jb.coerce(e,t,{constraintoward:{valType:\"enumerated\",values:h?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:h?\"center\":\"middle\"}},\"constraintoward\");var v=t.type,m,b,p=[];for(m=0;m<n.length;m++)if(b=n[m],b!==f){var k=i[Lg(b)];k.type===v&&p.push(b)}var M=Dce(o,f);if(M){var T=[];for(m=0;m<p.length;m++)b=p[m],M[b]||T.push(b);p=T}var L=p.length,x,C;L&&(e.matches||c.matches)&&(x=Jb.coerce(e,t,{matches:{valType:\"enumerated\",values:p,dflt:p.indexOf(c.matches)!==-1?c.matches:void 0}},\"matches\"));var S=a&&!h?t.anchor:void 0;if(L&&!x&&(e.scaleanchor||S)&&(C=Jb.coerce(e,t,{scaleanchor:{valType:\"enumerated\",values:p.concat([!1])}},\"scaleanchor\",S)),x){t._matchGroup=wN(s,f,x,1);var g=i[Lg(x)],P=Ice(i,t)/Ice(i,g);h!==(x.charAt(0)===\"x\")&&(P=(h?\"x\":\"y\")+P),wN(o,f,x,P)}else e.matches&&n.indexOf(e.matches)!==-1&&Jb.warn(\"ignored \"+t._name+'.matches: \"'+e.matches+'\" to avoid an infinite loop');if(C){var E=d(\"scaleratio\");E||(E=t.scaleratio=1),wN(o,f,C,E)}else e.scaleanchor&&n.indexOf(e.scaleanchor)!==-1&&Jb.warn(\"ignored \"+t._name+'.scaleanchor: \"'+e.scaleanchor+'\" to avoid either an infinite loop and possibly inconsistent scaleratios, or because this axis declares a *matches* constraint.')}function Ice(e,t){var r=t.domain;return r||(r=e[Lg(t.overlaying)].domain),r[1]-r[0]}function Dce(e,t){for(var r=0;r<e.length;r++)if(e[r][t])return e[r];return null}function wN(e,t,r,n){var i,a,o,s,l,u=Dce(e,t);u===null?(u={},u[t]=1,l=e.length,e.push(u)):l=e.indexOf(u);var c=Object.keys(u);for(i=0;i<e.length;i++)if(o=e[i],i!==l&&o[r]){var f=o[r];for(a=0;a<c.length;a++)s=c[a],o[s]=TN(f,TN(n,u[s]));e.splice(l,1);return}if(n!==1)for(a=0;a<c.length;a++){var h=c[a];u[h]=TN(n,u[h])}u[r]=1}function TN(e,t){var r=\"\",n=\"\",i,a;typeof e==\"string\"&&(r=e.match(/^[xy]*/)[0],i=r.length,e=+e.slice(i)),typeof t==\"string\"&&(n=t.match(/^[xy]*/)[0],a=n.length,t=+t.slice(a));var o=e*t;return!i&&!a?o:!i||!a||r.charAt(0)===n.charAt(0)?r+n+e*t:i===a?o:(i>a?r.slice(a):n.slice(i))+o}function jft(e,t){for(var r=t._size,n=r.h/r.w,i={},a=Object.keys(e),o=0;o<a.length;o++){var s=a[o],l=e[s];if(typeof l==\"string\"){var u=l.match(/^[xy]*/)[0],c=u.length;l=+l.slice(c);for(var f=u.charAt(0)===\"y\"?n:1/n,h=0;h<c;h++)l*=f}i[s]=l}return i}LM.enforce=function(t){var r=t._fullLayout,n=r._axisConstraintGroups||[],i,a,o,s,l,u,c,f;for(i=0;i<n.length;i++){o=jft(n[i],r);var h=Object.keys(o),d=1/0,v=0,m=1/0,b={},p={},k=!1;for(a=0;a<h.length;a++)s=h[a],p[s]=l=r[Lg(s)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),b[s]=u=Math.abs(l._m)/o[s],d=Math.min(d,u),(l.constrain===\"domain\"||!l._constraintShrinkable)&&(m=Math.min(m,u)),delete l._constraintShrinkable,v=Math.max(v,u),l.constrain===\"domain\"&&(k=!0);if(!(d>Vft*v&&!k)){for(a=0;a<h.length;a++)if(s=h[a],u=b[s],l=p[s],c=l.constrain,u!==m||c===\"domain\")if(f=u/m,c===\"range\")Pce(l,f);else{var M=l._inputDomain,T=(l.domain[1]-l.domain[0])/(M[1]-M[0]),L=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if(f/=T,f*L<1){l.domain=l._input.domain=M.slice(),Pce(l,f);continue}if(L<1&&(l.range=l._input.range=l._inputRange.slice(),f*=L),l.autorange){var x=l.r2l(l.range[0]),C=l.r2l(l.range[1]),S=(x+C)/2,g=S,P=S,E=Math.abs(C-S),z=S-E*f*1.0001,q=S+E*f*1.0001,V=bN.makePadFn(r,l,0),G=bN.makePadFn(r,l,1);Rce(l,f);var Z=Math.abs(l._m),j=bN.concatExtremes(t,l),N=j.min,H=j.max,re,ae;for(ae=0;ae<N.length;ae++)re=N[ae].val-V(N[ae])/Z,re>z&&re<g&&(g=re);for(ae=0;ae<H.length;ae++)re=H[ae].val+G(H[ae])/Z,re<q&&re>P&&(P=re);var _e=(P-g)/(2*E);f/=_e,g=l.l2r(g),P=l.l2r(P),l.range=l._input.range=x<C?[g,P]:[P,g]}Rce(l,f)}}}};LM.getAxisGroup=function(t,r){for(var n=t._axisMatchGroups,i=0;i<n.length;i++){var a=n[i];if(a[r])return\"g\"+i}return r};LM.clean=function(t,r){if(r._inputDomain){for(var n=!1,i=r._id,a=t._fullLayout._axisConstraintGroups,o=0;o<a.length;o++)if(a[o][i]){n=!0;break}(!n||r.constrain!==\"domain\")&&(r._input.domain=r.domain=r._inputDomain,delete r._inputDomain)}};function Rce(e,t){var r=e._inputDomain,n=Gft[e.constraintoward],i=r[0]+(r[1]-r[0])*n;e.domain=e._input.domain=[i+(r[0]-i)/t,i+(r[1]-i)/t],e.setScale()}});var RM=ye(pd=>{\"use 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ce=Le._lw/2;if(Le._id.charAt(0)===\"x\"){if(me){if(Pe===\"top\")return me._offset-n-ce}else return r.t+r.h*(1-(Le.position||0))+ce%1;return me._offset+me._length+n+ce}if(me){if(Pe===\"right\")return me._offset+me._length+n+ce}else return r.l+r.w*(Le.position||0)+ce%1;return me._offset-n-ce}for(a=0;a<i.length;a++){l=i[a];var h=l._anchorAxis;l._linepositions={},l._lw=lT.crispRound(e,l.linewidth,1),l._mainLinePosition=f(l,h,l.side),l._mainMirrorPosition=l.mirror&&h?f(l,h,zy.OPPOSITE_SIDE[l.side]):null}var d=[],v=[],m=[],b=PM.opacity(t.paper_bgcolor)===1&&PM.opacity(t.plot_bgcolor)===1&&t.paper_bgcolor===t.plot_bgcolor;for(o in t._plots)if(s=t._plots[o],s.mainplot)s.bg&&s.bg.remove(),s.bg=void 0;else{var p=s.xaxis.domain,k=s.yaxis.domain,M=s.plotgroup;if(Kft(p,k,m)&&o.indexOf(Yft)===-1){var T=M.node(),L=s.bg=M0.ensureSingle(M,\"rect\",\"bg\");T.insertBefore(L.node(),T.childNodes[0]),v.push(o)}else M.select(\"rect.bg\").remove(),m.push([p,k]),b||(d.push(o),v.push(o))}var x=t._bgLayer.selectAll(\".bg\").data(d);for(x.enter().append(\"rect\").classed(\"bg\",!0),x.exit().remove(),x.each(function(Le){t._plots[Le].bg=wP.select(this)}),a=0;a<v.length;a++)s=t._plots[v[a]],u=s.xaxis,c=s.yaxis,s.bg&&u._offset!==void 0&&c._offset!==void 0&&s.bg.call(lT.setRect,u._offset-n,c._offset-n,u._length+2*n,c._length+2*n).call(PM.fill,t.plot_bgcolor).style(\"stroke-width\",0);if(!t._hasOnlyLargeSploms)for(o in t._plots){s=t._plots[o],u=s.xaxis,c=s.yaxis;var C=s.clipId=\"clip\"+t._uid+o+\"plot\",S=M0.ensureSingleById(t._clips,\"clipPath\",C,function(Le){Le.classed(\"plotclip\",!0).append(\"rect\")});s.clipRect=S.select(\"rect\").attr({width:u._length,height:c._length}),lT.setTranslate(s.plot,u._offset,c._offset);var g,P;s._hasClipOnAxisFalse?(g=null,P=C):(g=C,P=null),lT.setClipUrl(s.plot,g,e),s.layerClipId=P}var E,z,q,V,G,Z,j,N,H,re,ae,_e,Ee;function Ce(Le){return\"M\"+E+\",\"+Le+\"H\"+z}function ge(Le){return\"M\"+u._offset+\",\"+Le+\"h\"+u._length}function ie(Le){return\"M\"+Le+\",\"+N+\"V\"+j}function Se(Le){return c._shift!==void 0&&(Le+=c._shift),\"M\"+Le+\",\"+c._offset+\"v\"+c._length}function ke(Le,me,Pe){if(!Le.showline||o!==Le._mainSubplot)return\"\";if(!Le._anchorAxis)return Pe(Le._mainLinePosition);var ce=me(Le._mainLinePosition);return Le.mirror&&(ce+=me(Le._mainMirrorPosition)),ce}for(o in t._plots){s=t._plots[o],u=s.xaxis,c=s.yaxis;var be=\"M0,0\";qce(u,o)&&(G=bP(u,\"left\",c,i),E=u._offset-(G?n+G:0),Z=bP(u,\"right\",c,i),z=u._offset+u._length+(Z?n+Z:0),q=f(u,c,\"bottom\"),V=f(u,c,\"top\"),Ee=!u._anchorAxis||o!==u._mainSubplot,Ee&&(u.mirror===\"allticks\"||u.mirror===\"all\")&&(u._linepositions[o]=[q,V]),be=ke(u,Ce,ge),Ee&&u.showline&&(u.mirror===\"all\"||u.mirror===\"allticks\")&&(be+=Ce(q)+Ce(V)),s.xlines.style(\"stroke-width\",u._lw+\"px\").call(PM.stroke,u.showline?u.linecolor:\"rgba(0,0,0,0)\")),s.xlines.attr(\"d\",be);var Be=\"M0,0\";qce(c,o)&&(ae=bP(c,\"bottom\",u,i),j=c._offset+c._length+(ae?n:0),_e=bP(c,\"top\",u,i),N=c._offset-(_e?n:0),H=f(c,u,\"left\"),re=f(c,u,\"right\"),Ee=!c._anchorAxis||o!==c._mainSubplot,Ee&&(c.mirror===\"allticks\"||c.mirror===\"all\")&&(c._linepositions[o]=[H,re]),Be=ke(c,ie,Se),Ee&&c.showline&&(c.mirror===\"all\"||c.mirror===\"allticks\")&&(Be+=ie(H)+ie(re)),s.ylines.style(\"stroke-width\",c._lw+\"px\").call(PM.stroke,c.showline?c.linecolor:\"rgba(0,0,0,0)\")),s.ylines.attr(\"d\",Be)}return IM.makeClipPaths(e),Jp.previousPromises(e)}function qce(e,t){return(e.ticks||e.showline)&&(t===e._mainSubplot||e.mirror===\"all\"||e.mirror===\"allticks\")}function Oce(e,t,r){if(!r.showline||!r._lw)return!1;if(r.mirror===\"all\"||r.mirror===\"allticks\")return!0;var n=r._anchorAxis;if(!n)return!1;var i=zy.FROM_BL[t];return r.side===t?n.domain[i]===e.domain[i]:r.mirror&&n.domain[1-i]===e.domain[1-i]}function bP(e,t,r,n){if(Oce(e,t,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&Oce(e,t,a))return a._lw}return 0}pd.drawMainTitle=function(e){var t=e._fullLayout.title,r=e._fullLayout,n=nht(r),i=aht(r),a=iht(r,i),o=rht(r,n);if(Fce.draw(e,\"gtitle\",{propContainer:r,propName:\"title.text\",subtitlePropName:\"title.subtitle.text\",placeholder:r._dfltTitle.plot,subtitlePlaceholder:r._dfltTitle.subtitle,attributes:{x:o,y:a,\"text-anchor\":n,dy:i}}),t.text&&t.automargin){var s=wP.select(e).selectAll(\".gtitle\"),l=lT.bBox(wP.select(e).selectAll(\".g-gtitle\").node()).height,u=eht(e,t,l);if(u>0){tht(e,a,u,l),s.attr({x:o,y:a,\"text-anchor\":n,dy:Bce(t.yanchor)}).call(AN.positionText,o,a);var c=(t.text.match(AN.BR_TAG_ALL)||[]).length;if(c){var f=zy.LINE_SPACING*c+zy.MID_SHIFT;t.y===0&&(f=-f),s.selectAll(\".line\").each(function(){var b=+this.getAttribute(\"dy\").slice(0,-2)-f+\"em\";this.setAttribute(\"dy\",b)})}var h=wP.select(e).selectAll(\".gtitle-subtitle\");if(h.node()){var d=s.node().getBBox(),v=d.y+d.height,m=v+Fce.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:m,\"text-anchor\":n,dy:Bce(t.yanchor)}).call(AN.positionText,o,m)}}}};function $ft(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=M0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return M0.isTopAnchor(t)&&r===\"t\"||M0.isBottomAnchor(t)&&r===\"b\"?!1:s<i}function Qft(e,t,r,n,i){var a=0;return r===\"middle\"&&(a+=i/2),e===\"t\"?(r===\"top\"&&(a+=i),a+=n-t*n):(r===\"bottom\"&&(a+=i),a+=t*n),a}function eht(e,t,r){var n=t.y,i=t.yanchor,a=n>.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=Qft(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function tht(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&$ft(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function rht(e,t){var r=e.title,n=e._size,i=0;return t===Vce?i=r.pad.l:t===Gce&&(i=-r.pad.r),r.xref===\"paper\"?n.l+n.w*r.x+i:e.width*r.x+i}function iht(e,t){var r=e.title,n=e._size,i=0;return t===\"0em\"||!t?i=-r.pad.b:t===zy.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\"?n.t/2:r.yref===\"paper\"?n.t+n.h-n.h*r.y+i:e.height-e.height*r.y+i}function Bce(e){return e===\"top\"?zy.CAP_SHIFT+.3+\"em\":e===\"bottom\"?\"-0.3em\":zy.MID_SHIFT+\"em\"}function nht(e){var t=e.title,r=Zft;return M0.isRightAnchor(t)?r=Gce:M0.isLeftAnchor(t)&&(r=Vce),r}function aht(e){var t=e.title,r=\"0em\";return M0.isTopAnchor(t)?r=zy.CAP_SHIFT+\"em\":M0.isMiddleAnchor(t)&&(r=zy.MID_SHIFT+\"em\"),r}pd.doTraceStyle=function(e){var t=e.calcdata,r=[],n;for(n=0;n<t.length;n++){var i=t[n],a=i[0]||{},o=a.trace||{},s=o._module||{},l=s.arraysToCalcdata;l&&l(i,o);var u=s.editStyle;u&&r.push({fn:u,cd0:a})}if(r.length){for(n=0;n<r.length;n++){var c=r[n];c.fn(e,c.cd0)}SN(e),pd.redrawReglTraces(e)}return Jp.style(e),Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doColorBars=function(e){return Nv.getComponentMethod(\"colorbar\",\"draw\")(e),Jp.previousPromises(e)};pd.layoutReplot=function(e){var t=e.layout;return e.layout=void 0,Nv.call(\"_doPlot\",e,\"\",t)};pd.doLegend=function(e){return Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doTicksRelayout=function(e){return IM.draw(e,\"redraw\"),e._fullLayout._hasOnlyLargeSploms&&(Nv.subplotsRegistry.splom.updateGrid(e),SN(e),pd.redrawReglTraces(e)),pd.drawMainTitle(e),Jp.previousPromises(e)};pd.doModeBar=function(e){var t=e._fullLayout;Nce.manage(e);for(var r=0;r<t._basePlotModules.length;r++){var n=t._basePlotModules[r].updateFx;n&&n(e)}return Jp.previousPromises(e)};pd.doCamera=function(e){for(var t=e._fullLayout,r=t._subplots.gl3d,n=0;n<r.length;n++){var i=t[r[n]],a=i._scene;a.setViewport(i)}};pd.drawData=function(e){var t=e._fullLayout;SN(e);for(var r=t._basePlotModules,n=0;n<r.length;n++)r[n].plot(e);return pd.redrawReglTraces(e),Jp.style(e),Nv.getComponentMethod(\"selections\",\"draw\")(e),Nv.getComponentMethod(\"shapes\",\"draw\")(e),Nv.getComponentMethod(\"annotations\",\"draw\")(e),Nv.getComponentMethod(\"images\",\"draw\")(e),t._replotting=!1,Jp.previousPromises(e)};pd.redrawReglTraces=function(e){var t=e._fullLayout;if(t._has(\"regl\")){var r=e._fullData,n=[],i=[],a,o;for(t._hasOnlyLargeSploms&&t._splomGrid.draw(),a=0;a<r.length;a++){var s=r[a];s.visible===!0&&s._length!==0&&(s.type===\"splom\"?t._splomScenes[s.uid].draw():s.type===\"scattergl\"?M0.pushUnique(n,s.xaxis+s.yaxis):s.type===\"scatterpolargl\"&&M0.pushUnique(i,s.subplot))}for(a=0;a<n.length;a++)o=t._plots[n[a]],o._scene&&o._scene.draw();for(a=0;a<i.length;a++)o=t[i[a]]._subplot,o._scene&&o._scene.draw()}};pd.doAutoRangeAndConstraints=function(e){for(var t=IM.list(e,\"\",!0),r,n={},i=0;i<t.length;i++)if(r=t[i],!n[r._id]){n[r._id]=1,Xft(e,r),zce(e,r);var a=r._matchGroup;if(a)for(var o in a){var s=IM.getFromId(e,o);zce(e,s,r.range),n[o]=1}}Wft(e)};pd.finalDraw=function(e){Nv.getComponentMethod(\"rangeslider\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e)};pd.drawMarginPushers=function(e){Nv.getComponentMethod(\"legend\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e),Nv.getComponentMethod(\"sliders\",\"draw\")(e),Nv.getComponentMethod(\"updatemenus\",\"draw\")(e),Nv.getComponentMethod(\"colorbar\",\"draw\")(e)}});var kN=ye((Dor,Zce)=>{\"use strict\";var oht=y_().readPaths,sht=cP(),Hce=s_().clearOutlineControllers,MN=ka(),jce=So(),lht=vl().arrayEditor,Wce=b_(),uht=Wce.getPathString;Zce.exports={draw:TP,drawOne:Xce,activateLastSelection:hht};function TP(e){var t=e._fullLayout;Hce(e),t._selectionLayer.selectAll(\"path\").remove();for(var r in t._plots){var n=t._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<t.selections.length;i++)Xce(e,i)}function AP(e){return e._context.editSelection}function Xce(e,t){e._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+t+'\"]').remove();var r=Wce.makeSelectionsOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input)return;a(e._fullLayout._selectionLayer);function a(o){var s=uht(e,n),l={\"data-index\":t,\"fill-rule\":\"evenodd\",d:s},u=n.opacity,c=\"rgba(0,0,0,0)\",f=n.line.color||MN.contrast(e._fullLayout.plot_bgcolor),h=n.line.width,d=n.line.dash;h||(h=5,d=\"solid\");var v=AP(e)&&e._fullLayout._activeSelectionIndex===t;v&&(c=e._fullLayout.activeselection.fillcolor,u=e._fullLayout.activeselection.opacity);for(var m=[],b=1;b>=0;b--){var p=o.append(\"path\").attr(l).style(\"opacity\",b?.1:u).call(MN.stroke,f).call(MN.fill,c).call(jce.dashLine,b?\"solid\":d,b?4+h:h);if(cht(p,e,n),v){var k=lht(e.layout,\"selections\",n);p.style({cursor:\"move\"});var M={element:p.node(),plotinfo:i,gd:e,editHelpers:k,isActiveSelection:!0},T=oht(s,e);sht(T,p,M)}else p.style(\"pointer-events\",b?\"all\":\"none\");m[b]=p}var L=m[0],x=m[1];x.node().addEventListener(\"click\",function(){return fht(e,L)})}}function cht(e,t,r){var n=r.xref+r.yref;jce.setClipUrl(e,\"clip\"+t._fullLayout._uid+n,t)}function fht(e,t){if(AP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeSelectionIndex){EN(e);return}e._fullLayout._activeSelectionIndex=n,e._fullLayout._deactivateSelection=EN,TP(e)}}}function hht(e){if(AP(e)){var t=e._fullLayout.selections.length-1;e._fullLayout._activeSelectionIndex=t,e._fullLayout._deactivateSelection=EN,TP(e)}}function EN(e){if(AP(e)){var t=e._fullLayout._activeSelectionIndex;t>=0&&(Hce(e),delete e._fullLayout._activeSelectionIndex,TP(e))}}});var Kce=ye((For,Yce)=>{function dht(){var e,t=0,r=!1;function n(i,a){return e.list.push({type:i,data:a?JSON.parse(JSON.stringify(a)):void 0}),e}return e={list:[],segmentId:function(){return t++},checkIntersection:function(i,a){return n(\"check\",{seg1:i,seg2:a})},segmentChop:function(i,a){return n(\"div_seg\",{seg:i,pt:a}),n(\"chop\",{seg:i,pt:a})},statusRemove:function(i){return n(\"pop_seg\",{seg:i})},segmentUpdate:function(i){return n(\"seg_update\",{seg:i})},segmentNew:function(i,a){return n(\"new_seg\",{seg:i,primary:a})},segmentRemove:function(i){return n(\"rem_seg\",{seg:i})},tempStatus:function(i,a,o){return n(\"temp_status\",{seg:i,above:a,below:o})},rewind:function(i){return n(\"rewind\",{seg:i})},status:function(i,a,o){return n(\"status\",{seg:i,above:a,below:o})},vert:function(i){return i===r?e:(r=i,n(\"vert\",{x:i}))},log:function(i){return typeof i!=\"string\"&&(i=JSON.stringify(i,!1,\"  \")),n(\"log\",{txt:i})},reset:function(){return n(\"reset\")},selected:function(i){return n(\"selected\",{segs:i})},chainStart:function(i){return n(\"chain_start\",{seg:i})},chainRemoveHead:function(i,a){return n(\"chain_rem_head\",{index:i,pt:a})},chainRemoveTail:function(i,a){return n(\"chain_rem_tail\",{index:i,pt:a})},chainNew:function(i,a){return n(\"chain_new\",{pt1:i,pt2:a})},chainMatch:function(i){return n(\"chain_match\",{index:i})},chainClose:function(i){return n(\"chain_close\",{index:i})},chainAddHead:function(i,a){return n(\"chain_add_head\",{index:i,pt:a})},chainAddTail:function(i,a){return n(\"chain_add_tail\",{index:i,pt:a})},chainConnect:function(i,a){return n(\"chain_con\",{index1:i,index2:a})},chainReverse:function(i){return n(\"chain_rev\",{index:i})},chainJoin:function(i,a){return n(\"chain_join\",{index1:i,index2:a})},done:function(){return n(\"done\")}},e}Yce.exports=dht});var $ce=ye((zor,Jce)=>{function vht(e){typeof e!=\"number\"&&(e=1e-10);var t={epsilon:function(r){return typeof r==\"number\"&&(e=r),e},pointAboveOrOnLine:function(r,n,i){var a=n[0],o=n[1],s=i[0],l=i[1],u=r[0],c=r[1];return(s-a)*(c-o)-(l-o)*(u-a)>=-e},pointBetween:function(r,n,i){var a=r[1]-n[1],o=i[0]-n[0],s=r[0]-n[0],l=i[1]-n[1],u=s*o+a*l;if(u<e)return!1;var c=o*o+l*l;return!(u-c>-e)},pointsSameX:function(r,n){return Math.abs(r[0]-n[0])<e},pointsSameY:function(r,n){return Math.abs(r[1]-n[1])<e},pointsSame:function(r,n){return t.pointsSameX(r,n)&&t.pointsSameY(r,n)},pointsCompare:function(r,n){return t.pointsSameX(r,n)?t.pointsSameY(r,n)?0:r[1]<n[1]?-1:1:r[0]<n[0]?-1:1},pointsCollinear:function(r,n,i){var a=r[0]-n[0],o=r[1]-n[1],s=n[0]-i[0],l=n[1]-i[1];return Math.abs(a*l-s*o)<e},linesIntersect:function(r,n,i,a){var o=n[0]-r[0],s=n[1]-r[1],l=a[0]-i[0],u=a[1]-i[1],c=o*u-s*l;if(Math.abs(c)<e)return!1;var f=r[0]-i[0],h=r[1]-i[1],d=(l*h-u*f)/c,v=(o*h-s*f)/c,m={alongA:0,alongB:0,pt:[r[0]+d*o,r[1]+d*s]};return d<=-e?m.alongA=-2:d<e?m.alongA=-1:d-1<=-e?m.alongA=0:d-1<e?m.alongA=1:m.alongA=2,v<=-e?m.alongB=-2:v<e?m.alongB=-1:v-1<=-e?m.alongB=0:v-1<e?m.alongB=1:m.alongB=2,m},pointInsideRegion:function(r,n){for(var i=r[0],a=r[1],o=n[n.length-1][0],s=n[n.length-1][1],l=!1,u=0;u<n.length;u++){var c=n[u][0],f=n[u][1];f-a>e!=s-a>e&&(o-c)*(a-f)/(s-f)+c-i>e&&(l=!l),o=c,s=f}return l}};return t}Jce.exports=vht});var efe=ye((qor,Qce)=>{var pht={create:function(){var e={root:{root:!0,next:null},exists:function(t){return!(t===null||t===e.root)},isEmpty:function(){return e.root.next===null},getHead:function(){return e.root.next},insertBefore:function(t,r){for(var n=e.root,i=e.root.next;i!==null;){if(r(i)){t.prev=i.prev,t.next=i,i.prev.next=t,i.prev=t;return}n=i,i=i.next}n.next=t,t.prev=n,t.next=null},findTransition:function(t){for(var r=e.root,n=e.root.next;n!==null&&!t(n);)r=n,n=n.next;return{before:r===e.root?null:r,after:n,insert:function(i){return i.prev=r,i.next=n,r.next=i,n!==null&&(n.prev=i),i}}}};return e},node:function(e){return e.prev=null,e.next=null,e.remove=function(){e.prev.next=e.next,e.next&&(e.next.prev=e.prev),e.prev=null,e.next=null},e}};Qce.exports=pht});var rfe=ye((Oor,tfe)=>{var DM=efe();function ght(e,t,r){function n(v,m){return{id:r?r.segmentId():-1,start:v,end:m,myFill:{above:null,below:null},otherFill:null}}function i(v,m,b){return{id:r?r.segmentId():-1,start:v,end:m,myFill:{above:b.myFill.above,below:b.myFill.below},otherFill:null}}var a=DM.create();function o(v,m,b,p,k,M){var T=t.pointsCompare(m,k);return T!==0?T:t.pointsSame(b,M)?0:v!==p?v?1:-1:t.pointAboveOrOnLine(b,p?k:M,p?M:k)?1:-1}function s(v,m){a.insertBefore(v,function(b){var p=o(v.isStart,v.pt,m,b.isStart,b.pt,b.other.pt);return p<0})}function l(v,m){var b=DM.node({isStart:!0,pt:v.start,seg:v,primary:m,other:null,status:null});return s(b,v.end),b}function u(v,m,b){var p=DM.node({isStart:!1,pt:m.end,seg:m,primary:b,other:v,status:null});v.other=p,s(p,v.pt)}function c(v,m){var b=l(v,m);return u(b,v,m),b}function f(v,m){r&&r.segmentChop(v.seg,m),v.other.remove(),v.seg.end=m,v.other.pt=m,s(v.other,v.pt)}function h(v,m){var b=i(m,v.seg.end,v.seg);return f(v,m),c(b,v.primary)}function d(v,m){var b=DM.create();function p(G,Z){var j=G.seg.start,N=G.seg.end,H=Z.seg.start,re=Z.seg.end;return t.pointsCollinear(j,H,re)?t.pointsCollinear(N,H,re)||t.pointAboveOrOnLine(N,H,re)?1:-1:t.pointAboveOrOnLine(j,H,re)?1:-1}function k(G){return b.findTransition(function(Z){var j=p(G,Z.ev);return j>0})}function M(G,Z){var j=G.seg,N=Z.seg,H=j.start,re=j.end,ae=N.start,_e=N.end;r&&r.checkIntersection(j,N);var Ee=t.linesIntersect(H,re,ae,_e);if(Ee===!1){if(!t.pointsCollinear(H,re,ae)||t.pointsSame(H,_e)||t.pointsSame(re,ae))return!1;var Ce=t.pointsSame(H,ae),ge=t.pointsSame(re,_e);if(Ce&&ge)return Z;var ie=!Ce&&t.pointBetween(H,ae,_e),Se=!ge&&t.pointBetween(re,ae,_e);if(Ce)return Se?h(Z,re):h(G,_e),Z;ie&&(ge||(Se?h(Z,re):h(G,_e)),h(Z,H))}else Ee.alongA===0&&(Ee.alongB===-1?h(G,ae):Ee.alongB===0?h(G,Ee.pt):Ee.alongB===1&&h(G,_e)),Ee.alongB===0&&(Ee.alongA===-1?h(Z,H):Ee.alongA===0?h(Z,Ee.pt):Ee.alongA===1&&h(Z,re));return!1}for(var T=[];!a.isEmpty();){var L=a.getHead();if(r&&r.vert(L.pt[0]),L.isStart){let G=function(){if(C){var Z=M(L,C);if(Z)return Z}return S?M(L,S):!1};var V=G;r&&r.segmentNew(L.seg,L.primary);var x=k(L),C=x.before?x.before.ev:null,S=x.after?x.after.ev:null;r&&r.tempStatus(L.seg,C?C.seg:!1,S?S.seg:!1);var g=G();if(g){if(e){var P;L.seg.myFill.below===null?P=!0:P=L.seg.myFill.above!==L.seg.myFill.below,P&&(g.seg.myFill.above=!g.seg.myFill.above)}else g.seg.otherFill=L.seg.myFill;r&&r.segmentUpdate(g.seg),L.other.remove(),L.remove()}if(a.getHead()!==L){r&&r.rewind(L.seg);continue}if(e){var P;L.seg.myFill.below===null?P=!0:P=L.seg.myFill.above!==L.seg.myFill.below,S?L.seg.myFill.below=S.seg.myFill.above:L.seg.myFill.below=v,P?L.seg.myFill.above=!L.seg.myFill.below:L.seg.myFill.above=L.seg.myFill.below}else if(L.seg.otherFill===null){var E;S?L.primary===S.primary?E=S.seg.otherFill.above:E=S.seg.myFill.above:E=L.primary?m:v,L.seg.otherFill={above:E,below:E}}r&&r.status(L.seg,C?C.seg:!1,S?S.seg:!1),L.other.status=x.insert(DM.node({ev:L}))}else{var z=L.status;if(z===null)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(b.exists(z.prev)&&b.exists(z.next)&&M(z.prev.ev,z.next.ev),r&&r.statusRemove(z.ev.seg),z.remove(),!L.primary){var q=L.seg.myFill;L.seg.myFill=L.seg.otherFill,L.seg.otherFill=q}T.push(L.seg)}a.getHead().remove()}return r&&r.done(),T}return e?{addRegion:function(v){for(var m,b=v[v.length-1],p=0;p<v.length;p++){m=b,b=v[p];var k=t.pointsCompare(m,b);k!==0&&c(n(k<0?m:b,k<0?b:m),!0)}},calculate:function(v){return d(v,!1)}}:{calculate:function(v,m,b,p){return v.forEach(function(k){c(i(k.start,k.end,k),!0)}),b.forEach(function(k){c(i(k.start,k.end,k),!1)}),d(m,p)}}}tfe.exports=ght});var nfe=ye((Bor,ife)=>{function mht(e,t,r){var n=[],i=[];return e.forEach(function(a){var o=a.start,s=a.end;if(t.pointsSame(o,s)){console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");return}r&&r.chainStart(a);var l={index:0,matches_head:!1,matches_pt1:!1},u={index:0,matches_head:!1,matches_pt1:!1},c=l;function f(V,G,Z){return c.index=V,c.matches_head=G,c.matches_pt1=Z,c===l?(c=u,!1):(c=null,!0)}for(var h=0;h<n.length;h++){var d=n[h],v=d[0],m=d[1],b=d[d.length-1],p=d[d.length-2];if(t.pointsSame(v,o)){if(f(h,!0,!0))break}else if(t.pointsSame(v,s)){if(f(h,!0,!1))break}else if(t.pointsSame(b,o)){if(f(h,!1,!0))break}else if(t.pointsSame(b,s)&&f(h,!1,!1))break}if(c===l){n.push([o,s]),r&&r.chainNew(o,s);return}if(c===u){r&&r.chainMatch(l.index);var k=l.index,M=l.matches_pt1?s:o,T=l.matches_head,d=n[k],L=T?d[0]:d[d.length-1],x=T?d[1]:d[d.length-2],C=T?d[d.length-1]:d[0],S=T?d[d.length-2]:d[1];if(t.pointsCollinear(x,L,M)&&(T?(r&&r.chainRemoveHead(l.index,M),d.shift()):(r&&r.chainRemoveTail(l.index,M),d.pop()),L=x),t.pointsSame(C,M)){n.splice(k,1),t.pointsCollinear(S,C,L)&&(T?(r&&r.chainRemoveTail(l.index,L),d.pop()):(r&&r.chainRemoveHead(l.index,L),d.shift())),r&&r.chainClose(l.index),i.push(d);return}T?(r&&r.chainAddHead(l.index,M),d.unshift(M)):(r&&r.chainAddTail(l.index,M),d.push(M));return}function g(V){r&&r.chainReverse(V),n[V].reverse()}function P(V,G){var Z=n[V],j=n[G],N=Z[Z.length-1],H=Z[Z.length-2],re=j[0],ae=j[1];t.pointsCollinear(H,N,re)&&(r&&r.chainRemoveTail(V,N),Z.pop(),N=H),t.pointsCollinear(N,re,ae)&&(r&&r.chainRemoveHead(G,re),j.shift()),r&&r.chainJoin(V,G),n[V]=Z.concat(j),n.splice(G,1)}var E=l.index,z=u.index;r&&r.chainConnect(E,z);var q=n[E].length<n[z].length;l.matches_head?u.matches_head?q?(g(E),P(E,z)):(g(z),P(z,E)):P(z,E):u.matches_head?P(E,z):q?(g(E),P(z,E)):(g(z),P(E,z))}),i}ife.exports=mht});var ofe=ye((Nor,afe)=>{function FM(e,t,r){var n=[];return e.forEach(function(i){var a=(i.myFill.above?8:0)+(i.myFill.below?4:0)+(i.otherFill&&i.otherFill.above?2:0)+(i.otherFill&&i.otherFill.below?1:0);t[a]!==0&&n.push({id:r?r.segmentId():-1,start:i.start,end:i.end,myFill:{above:t[a]===1,below:t[a]===2},otherFill:null})}),r&&r.selected(n),n}var yht={union:function(e,t){return FM(e,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],t)},intersect:function(e,t){return FM(e,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],t)},difference:function(e,t){return FM(e,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],t)},differenceRev:function(e,t){return FM(e,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],t)},xor:function(e,t){return FM(e,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],t)}};afe.exports=yht});var lfe=ye((Uor,sfe)=>{var _ht={toPolygon:function(e,t){function r(a){if(a.length<=0)return e.segments({inverted:!1,regions:[]});function o(u){var c=u.slice(0,u.length-1);return e.segments({inverted:!1,regions:[c]})}for(var s=o(a[0]),l=1;l<a.length;l++)s=e.selectDifference(e.combine(s,o(a[l])));return s}if(t.type===\"Polygon\")return e.polygon(r(t.coordinates));if(t.type===\"MultiPolygon\"){for(var n=e.segments({inverted:!1,regions:[]}),i=0;i<t.coordinates.length;i++)n=e.selectUnion(e.combine(n,r(t.coordinates[i])));return e.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(e,t,r){r=e.polygon(e.segments(r));function n(d,v){return t.pointInsideRegion([(d[0][0]+d[1][0])*.5,(d[0][1]+d[1][1])*.5],v)}function i(d){return{region:d,children:[]}}var a=i(null);function o(d,v){for(var m=0;m<d.children.length;m++){var b=d.children[m];if(n(v,b.region)){o(b,v);return}}for(var p=i(v),m=0;m<d.children.length;m++){var b=d.children[m];n(b.region,v)&&(p.children.push(b),d.children.splice(m,1),m--)}d.children.push(p)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(d,v){for(var m=0,b=d[d.length-1][0],p=d[d.length-1][1],k=[],M=0;M<d.length;M++){var T=d[M][0],L=d[M][1];k.push([T,L]),m+=L*b-T*p,b=T,p=L}var x=m<0;return x!==v&&k.reverse(),k.push([k[0][0],k[0][1]]),k}var c=[];function f(d){var v=[u(d.region,!1)];c.push(v);for(var m=0;m<d.children.length;m++)v.push(h(d.children[m]))}function h(d){for(var v=0;v<d.children.length;v++)f(d.children[v]);return u(d.region,!0)}for(var s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:c.length==1?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};sfe.exports=_ht});var hfe=ye((Vor,ffe)=>{var xht=Kce(),bht=$ce(),ufe=rfe(),wht=nfe(),zM=ofe(),cfe=lfe(),E0=!1,qM=bht(),kp;kp={buildLog:function(e){return e===!0?E0=xht():e===!1&&(E0=!1),E0===!1?!1:E0.list},epsilon:function(e){return qM.epsilon(e)},segments:function(e){var t=ufe(!0,qM,E0);return e.regions.forEach(t.addRegion),{segments:t.calculate(e.inverted),inverted:e.inverted}},combine:function(e,t){var r=ufe(!1,qM,E0);return{combined:r.calculate(e.segments,e.inverted,t.segments,t.inverted),inverted1:e.inverted,inverted2:t.inverted}},selectUnion:function(e){return{segments:zM.union(e.combined,E0),inverted:e.inverted1||e.inverted2}},selectIntersect:function(e){return{segments:zM.intersect(e.combined,E0),inverted:e.inverted1&&e.inverted2}},selectDifference:function(e){return{segments:zM.difference(e.combined,E0),inverted:e.inverted1&&!e.inverted2}},selectDifferenceRev:function(e){return{segments:zM.differenceRev(e.combined,E0),inverted:!e.inverted1&&e.inverted2}},selectXor:function(e){return{segments:zM.xor(e.combined,E0),inverted:e.inverted1!==e.inverted2}},polygon:function(e){return{regions:wht(e.segments,qM,E0),inverted:e.inverted}},polygonFromGeoJSON:function(e){return cfe.toPolygon(kp,e)},polygonToGeoJSON:function(e){return cfe.fromPolygon(kp,qM,e)},union:function(e,t){return OM(e,t,kp.selectUnion)},intersect:function(e,t){return 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t=[],r=PN(e[0])?0:e[0][0][0],n=r,i=PN(e[0])?0:e[0][0][1],a=i,o=0;o<e.length;o++)if(PN(e[o]))t.push(Uht(e[o]));else{var s=FN(e[o]);s.subtract=!!e[o].subtract,t.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}function l(u,c,f,h){for(var d=!1,v=0;v<t.length;v++)t[v].contains(u,c,f,h)&&(d=!t[v].subtract);return d}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:l,isRect:!1,degenerate:!1}}function Lfe(e,t,r){var n=t._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(e.shiftKey||e.altKey)&&!(GM(a)&&RN(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):(!s||!i.selection)&&HM(r),o||(Mfe(t),n._lastSelectedSubplot=i.id)}function Vht(e){return e._fullLayout._activeShapeIndex>=0}function Ght(e){return e._fullLayout._activeSelectionIndex>=0}function HM(e,t){var r=e.dragmode,n=e.plotinfo,i=e.gd;Vht(i)&&i._fullLayout._deactivateShape(i),Ght(i)&&i._fullLayout._deactivateSelection(i);var a=i._fullLayout,o=a._zoomlayer,s=GM(r),l=DN(r);if(s||l){var u=o.selectAll(\".select-outline-\"+n.id);if(u&&i._fullLayout._outlining){var c;s&&(c=Lht(u,e)),c&&VM.call(\"_guiRelayout\",i,{shapes:c});var f;l&&!qN(e)&&(f=Pht(u,e)),f&&(i._fullLayout._noEmitSelectedAtStart=!0,VM.call(\"_guiRelayout\",i,{selections:f}).then(function(){t&&Iht(i)})),i._fullLayout._outlining=!1}}n.selection={},n.selection.selectionDefs=e.selectionDefs=[],n.selection.mergedPolygons=e.mergedPolygons=[]}function wfe(e){return e._id}function LP(e,t,r,n){if(!e.calcdata)return[];var i=[],a=t.map(wfe),o=r.map(wfe),s,l,u;for(u=0;u<e.calcdata.length;u++)if(s=e.calcdata[u],l=s[0].trace,!(l.visible!==!0||!l._module||!l._module.selectPoints))if(qN({subplot:n})&&(l.subplot===n||l.geo===n))i.push(EP(l._module,s,t[0],r[0]));else if(l.type===\"splom\"){if(l._xaxes[a[0]]&&l._yaxes[o[0]]){var c=EP(l._module,s,t[0],r[0]);c.scene=e._fullLayout._splomScenes[l.uid],i.push(c)}}else if(l.type===\"sankey\"){var f=EP(l._module,s,t[0],r[0]);i.push(f)}else{if(a.indexOf(l.xaxis)===-1&&(!l._xA||!l._xA.overlaying)||o.indexOf(l.yaxis)===-1&&(!l._yA||!l._yA.overlaying))continue;i.push(EP(l._module,s,k0(e,l.xaxis),k0(e,l.yaxis)))}return i}function EP(e,t,r,n){return{_module:e,cd:t,xaxis:r,yaxis:n}}function Hht(e){return e&&Array.isArray(e)&&e[0].hoverOnBox!==!0}function jht(e,t){var r=e[0],n=-1,i=[],a,o;for(o=0;o<t.length;o++)if(a=t[o],r.fullData.index===a.cd[0].trace.index){if(r.hoverOnBox===!0)break;r.pointNumber!==void 0?n=r.pointNumber:r.binNumber!==void 0&&(n=r.binNumber,i=r.pointNumbers);break}return{pointNumber:n,pointNumbers:i,searchInfo:a}}function Tfe(e){var t=e.searchInfo.cd[0].trace,r=e.pointNumber,n=e.pointNumbers,i=n.length>0,a=i?n[0]:r;return t.selectedpoints?t.selectedpoints.indexOf(a)>-1:!1}function Wht(e,t){var 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nhe=Pr(),RP=ho(),hdt=Kd(),ddt=VN(),ahe=b_();ohe.exports=function(t,r){hdt(t,r,{name:\"selections\",handleItemDefaults:vdt});for(var n=r.selections,i=0;i<n.length;i++){var a=n[i];a&&a.path===void 0&&(a.x0===void 0||a.x1===void 0||a.y0===void 0||a.y1===void 0)&&(r.selections[i]=null)}};function vdt(e,t,r){function n(x,C){return nhe.coerce(e,t,ddt,x,C)}var i=n(\"path\"),a=i?\"path\":\"rect\",o=n(\"type\",a),s=o!==\"path\";s&&delete t.path,n(\"opacity\"),n(\"line.color\"),n(\"line.width\"),n(\"line.dash\");for(var l=[\"x\",\"y\"],u=0;u<2;u++){var c=l[u],f={_fullLayout:r},h,d,v,m=RP.coerceRef(e,t,f,c);if(h=RP.getFromId(f,m),h._selectionIndices.push(t._index),v=ahe.rangeToShapePosition(h),d=ahe.shapePositionToRange(h),s){var b=c+\"0\",p=c+\"1\",k=e[b],M=e[p];e[b]=d(e[b],!0),e[p]=d(e[p],!0),RP.coercePosition(t,f,n,m,b),RP.coercePosition(t,f,n,m,p);var T=t[b],L=t[p];T!==void 0&&L!==void 0&&(t[b]=v(T),t[p]=v(L),e[b]=k,e[p]=M)}}s&&nhe.noneOrAll(e,t,[\"x0\",\"x1\",\"y0\",\"y1\"])}});var uhe=ye((isr,lhe)=>{\"use strict\";lhe.exports=function(t,r,n){n(\"newselection.mode\");var i=n(\"newselection.line.width\");i&&(n(\"newselection.line.color\"),n(\"newselection.line.dash\")),n(\"activeselection.fillcolor\"),n(\"activeselection.opacity\")}});var KM=ye((nsr,hhe)=>{\"use strict\";var pdt=Oa(),che=Pr(),fhe=df();hhe.exports=function(t){return function(n,i){var a=n[t];if(Array.isArray(a))for(var o=pdt.subplotsRegistry.cartesian,s=o.idRegex,l=i._subplots,u=l.xaxis,c=l.yaxis,f=l.cartesian,h=i._has(\"cartesian\"),d=0;d<a.length;d++){var v=a[d];if(che.isPlainObject(v)){var m=fhe.cleanId(v.xref,\"x\",!1),b=fhe.cleanId(v.yref,\"y\",!1),p=s.x.test(m),k=s.y.test(b);if(p||k){h||che.pushUnique(i._basePlotModules,o);var M=!1;p&&u.indexOf(m)===-1&&(u.push(m),M=!0),k&&c.indexOf(b)===-1&&(c.push(b),M=!0),M&&p&&k&&f.push(m+b)}}}}}});var qf=ye((asr,vhe)=>{\"use strict\";var 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c=s._mainLinePosition;s.side===\"top\"&&(c-=gd),Ig(t,o,s._offset+s._length*.1,c,s._length*.8,gd,\"\",\"ew\"),Ig(t,o,s._offset,c,s._length*.1,gd,\"\",\"w\"),Ig(t,o,s._offset+s._length*.9,c,s._length*.1,gd,\"\",\"e\")}if(a===l._mainSubplot){var f=l._mainLinePosition;l.side!==\"right\"&&(f-=gd),Ig(t,o,f,l._offset+l._length*.1,gd,l._length*.8,\"ns\",\"\"),Ig(t,o,f,l._offset+l._length*.9,gd,l._length*.1,\"s\",\"\"),Ig(t,o,f,l._offset,gd,l._length*.1,\"n\",\"\")}}});var i=r._hoverlayer.node();i.onmousemove=function(a){a.target=t._fullLayout._lasthover,qP.hover(t,a,r._hoversubplot)},i.onclick=function(a){a.target=t._fullLayout._lasthover,qP.click(t,a)},i.onmousedown=function(a){t._fullLayout._lasthover.onmousedown(a)},OP.updateFx(t)}};OP.updateFx=function(e){var t=e._fullLayout,r=t.dragmode===\"pan\"?\"move\":\"crosshair\";Odt(t._draggers,r)}});var qhe=ye((lsr,zhe)=>{\"use strict\";var Fhe=Oa();zhe.exports=function(t){for(var r=Fhe.layoutArrayContainers,n=Fhe.layoutArrayRegexes,i=t.split(\"[\")[0],a,o,s=0;s<n.length;s++)if(o=t.match(n[s]),o&&o.index===0){a=o[0];break}if(a||(a=r[r.indexOf(i)]),!a)return!1;var l=t.slice(a.length);return l?(o=l.match(/^\\[(0|[1-9][0-9]*)\\](\\.(.+))?$/),o?{array:a,index:Number(o[1]),property:o[3]||\"\"}:!1):{array:a,index:\"\",property:\"\"}}});var Bhe=ye(QM=>{\"use strict\";var Bdt=Sy(),JN=I6(),$M=J1(),Ndt=G6().sorterAsc,$N=Oa();QM.containerArrayMatch=qhe();var Udt=QM.isAddVal=function(t){return t===\"add\"||Bdt(t)},Ohe=QM.isRemoveVal=function(t){return t===null||t===\"remove\"};QM.applyContainerArrayChanges=function(t,r,n,i,a){var o=r.astr,s=$N.getComponentMethod(o,\"supplyLayoutDefaults\"),l=$N.getComponentMethod(o,\"draw\"),u=$N.getComponentMethod(o,\"drawOne\"),c=i.replot||i.recalc||s===JN||l===JN,f=t.layout,h=t._fullLayout;if(n[\"\"]){Object.keys(n).length>1&&$M.warn(\"Full array edits are incompatible with other edits\",o);var d=n[\"\"][\"\"];if(Ohe(d))r.set(null);else 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q;if(M===-1)q=v;else{for(T=Math.max(b.length,T),q=[],L=0;L<v.length&&(C=v[L],!(C>=M));L++)q.push(C);for(L=M;L<T;L++)q.push(L)}for(L=0;L<q.length;L++)u(t,q[L])}else l(t);return!0}});var Xhe=ye(L0=>{\"use strict\";var Ghe=Eo(),Hhe=Oa(),Uv=Pr(),e4=Mc(),jhe=df(),Whe=ka(),t4=jhe.cleanId,Vdt=jhe.getFromTrace,QN=Hhe.traceIs,Gdt=[\"x\",\"y\",\"z\"];L0.clearPromiseQueue=function(e){Array.isArray(e._promises)&&e._promises.length>0&&Uv.log(\"Clearing previous rejected promises from queue.\"),e._promises=[]};L0.cleanLayout=function(e){var t,r;e||(e={}),e.xaxis1&&(e.xaxis||(e.xaxis=e.xaxis1),delete e.xaxis1),e.yaxis1&&(e.yaxis||(e.yaxis=e.yaxis1),delete e.yaxis1),e.scene1&&(e.scene||(e.scene=e.scene1),delete e.scene1);var n=(e4.subplotsRegistry.cartesian||{}).attrRegex,i=(e4.subplotsRegistry.polar||{}).attrRegex,a=(e4.subplotsRegistry.ternary||{}).attrRegex,o=(e4.subplotsRegistry.gl3d||{}).attrRegex,s=Object.keys(e);for(t=0;t<s.length;t++){var l=s[t];if(n&&n.test(l)){var u=e[l];u.anchor&&u.anchor!==\"free\"&&(u.anchor=t4(u.anchor)),u.overlaying&&(u.overlaying=t4(u.overlaying)),u.type||(u.isdate?u.type=\"date\":u.islog?u.type=\"log\":u.isdate===!1&&u.islog===!1&&(u.type=\"linear\")),(u.autorange===\"withzero\"||u.autorange===\"tozero\")&&(u.autorange=!0,u.rangemode=\"tozero\"),u.insiderange&&delete u.range,delete u.islog,delete u.isdate,delete u.categories,BP(u,\"domain\")&&delete u.domain}}var c=Array.isArray(e.annotations)?e.annotations.length:0;for(t=0;t<c;t++){var f=e.annotations[t];Uv.isPlainObject(f)&&(uT(f,\"xref\"),uT(f,\"yref\"))}var h=Array.isArray(e.shapes)?e.shapes.length:0;for(t=0;t<h;t++){var d=e.shapes[t];Uv.isPlainObject(d)&&(uT(d,\"xref\",!0),uT(d,\"yref\",!0))}var v=Array.isArray(e.images)?e.images.length:0;for(t=0;t<v;t++){var m=e.images[t];Uv.isPlainObject(m)&&(uT(m,\"xref\"),uT(m,\"yref\"))}var b=e.legend;return b&&(b.x>3?(b.x=1.02,b.xanchor=\"left\"):b.x<-2&&(b.x=-.02,b.xanchor=\"right\"),b.y>3?(b.y=1.02,b.yanchor=\"bottom\"):b.y<-2&&(b.y=-.02,b.yanchor=\"top\")),e.dragmode===\"rotate\"&&(e.dragmode=\"orbit\"),Whe.clean(e),e.template&&e.template.layout&&L0.cleanLayout(e.template.layout),e};function uT(e,t,r=!1){var n=e[t],i=t.charAt(0);r&&Array.isArray(n)||n&&n!==\"paper\"&&(e[t]=t4(n,i,!0))}L0.cleanData=function(e){for(var t=0;t<e.length;t++){var r=e[t],n;if(r.type===\"histogramy\"&&\"xbins\"in r&&!(\"ybins\"in r)&&(r.ybins=r.xbins,delete r.xbins),r.type===\"histogramy\"&&L0.swapXYData(r),(r.type===\"histogramx\"||r.type===\"histogramy\")&&(r.type=\"histogram\"),\"scl\"in r&&!(\"colorscale\"in r)&&(r.colorscale=r.scl,delete r.scl),\"reversescl\"in r&&!(\"reversescale\"in r)&&(r.reversescale=r.reversescl,delete 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n=[],i=xl.deleteTraces,a=ode,o=[e,n],s=[e,t],l,u;for(ovt(e,t,r),Array.isArray(t)||(t=[t]),t=t.map(function(c){return Sa.extendFlat({},c)}),gh.cleanData(t),l=0;l<t.length;l++)e.data.push(t[l]);for(l=0;l<t.length;l++)n.push(-t.length+l);if(typeof r==\"undefined\")return u=xl.redraw(e),op.add(e,i,o,a,s),u;Array.isArray(r)||(r=[r]);try{tde(e,n,r)}catch(c){throw e.data.splice(e.data.length-t.length,t.length),c}return op.startSequence(e),op.add(e,i,o,a,s),u=xl.moveTraces(e,n,r),op.stopSequence(e),u}function sde(e,t){e=Sa.getGraphDiv(e);var r=[],n=xl.addTraces,i=sde,a=[e,r,t],o=[e,t],s,l;if(typeof t==\"undefined\")throw new Error(\"indices must be an integer or array of integers.\");for(Array.isArray(t)||(t=[t]),HP(e,t,\"indices\"),t=GP(t,e.data.length-1),t.sort(Sa.sorterDes),s=0;s<t.length;s+=1)l=e.data.splice(t[s],1)[0],r.push(l);var u=xl.redraw(e);return op.add(e,n,a,i,o),u}function nU(e,t,r){e=Sa.getGraphDiv(e);var n=[],i=[],a=nU,o=nU,s=[e,r,t],l=[e,t,r],u;if(tde(e,t,r),t=Array.isArray(t)?t:[t],typeof r==\"undefined\")for(r=[],u=0;u<t.length;u++)r.push(-t.length+u);for(r=Array.isArray(r)?r:[r],t=GP(t,e.data.length-1),r=GP(r,e.data.length-1),u=0;u<e.data.length;u++)t.indexOf(u)===-1&&n.push(e.data[u]);for(u=0;u<t.length;u++)i.push({newIndex:r[u],trace:e.data[t[u]]});for(i.sort(function(f,h){return f.newIndex-h.newIndex}),u=0;u<i.length;u+=1)n.splice(i[u].newIndex,0,i[u].trace);e.data=n;var c=xl.redraw(e);return op.add(e,a,s,o,l),c}function jP(e,t,r,n){e=Sa.getGraphDiv(e),gh.clearPromiseQueue(e);var i={};if(typeof t==\"string\")i[t]=r;else if(Sa.isPlainObject(t))i=Sa.extendFlat({},t),n===void 0&&(n=r);else return Sa.warn(\"Restyle fail.\",t,r,n),Promise.reject();Object.keys(i).length&&(e.changed=!0);var a=gh.coerceTraceIndices(e,n),o=lde(e,i,a),s=o.flags;s.calc&&(e.calcdata=void 0),s.clearAxisTypes&&gh.clearAxisTypes(e,a,{});var 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o=[Qo.previousPromises];a.layoutReplot?o.push(Au.layoutReplot):Object.keys(n).length&&(ude(e,a,i)||Qo.supplyDefaults(e),a.legend&&o.push(Au.doLegend),a.layoutstyle&&o.push(Au.layoutStyles),a.axrange&&KP(o,i.rangesAltered),a.ticks&&o.push(Au.doTicksRelayout),a.modebar&&o.push(Au.doModeBar),a.camera&&o.push(Au.doCamera),a.colorbars&&o.push(Au.doColorBars),o.push(i4)),o.push(Qo.rehover,Qo.redrag,Qo.reselect),op.add(e,r4,[e,i.undoit],r4,[e,i.redoit]);var s=Sa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function ude(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return Sa.coerce(a,o,Ydt,d,v)},l={};for(var u in r.rangesAltered){var c=Vv.id2name(u);if(a=e.layout[c],o=n[c],Zdt(a,o,s,l),o._matchGroup){for(var f in o._matchGroup)if(f!==u){var 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be=ke.property,Be=N||{editType:\"calc\"};f!==\"\"&&be===\"\"&&(NP.isAddVal(g)?k[C]=null:NP.isRemoveVal(g)?k[C]=(Ec(r,c).get()||[])[f]:Sa.warn(\"unrecognized full object value\",t)),A_.update(b,Be),u[c]||(u[c]={});var Le=u[c][f];Le||(Le=u[c][f]={}),Le[be]=g,delete t[C]}else z===\"reverse\"?(G.range?G.range.reverse():(M(V+\".autorange\",!0),G.range=[1,0]),Z.autorange?b.calc=!0:b.plot=!0):(C===\"dragmode\"&&(g===!1&&j!==!1||g!==!1&&j===!1)||n._has(\"scatter-like\")&&n._has(\"regl\")&&C===\"dragmode\"&&(g===\"lasso\"||g===\"select\")&&!(j===\"lasso\"||j===\"select\")?b.plot=!0:N?A_.update(b,N):b.calc=!0,S.set(g))}}for(c in u){var me=NP.applyContainerArrayChanges(e,a(r,c),u[c],b,a);me||(b.plot=!0)}for(var Pe in T){L=Vv.getFromId(e,Pe);var ce=L&&L._constraintGroup;if(ce){b.calc=!0;for(var He in ce)T[He]||(Vv.getFromId(e,He)._constraintShrinkable=!0)}}(dde(e)||t.height||t.width)&&(b.plot=!0);var lt=n.shapes;for(f=0;f<lt.length;f++)if(lt[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:T,undoit:k,redoit:p,eventData:l}}function dde(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&Qo.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function XP(e,t,r,n){e=Sa.getGraphDiv(e),gh.clearPromiseQueue(e),Sa.isPlainObject(t)||(t={}),Sa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=gh.coerceTraceIndices(e,n),a=lde(e,Sa.extendFlat({},t),i),o=a.flags,s=hde(e,Sa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&gh.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Au.layoutReplot):o.fullReplot?u.push(xl._doPlot):(u.push(Qo.previousPromises),ude(e,l,s)||Qo.supplyDefaults(e),o.style&&u.push(Au.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Au.doColorBars),l.legend&&u.push(Au.doLegend),l.layoutstyle&&u.push(Au.layoutStyles),l.axrange&&KP(u,s.rangesAltered),l.ticks&&u.push(Au.doTicksRelayout),l.modebar&&u.push(Au.doModeBar),l.camera&&u.push(Au.doCamera),u.push(i4)),u.push(Qo.rehover,Qo.redrag,Qo.reselect),op.add(e,XP,[e,a.undoit,s.undoit,a.traces],XP,[e,a.redoit,s.redoit,a.traces]);var c=Sa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function aU(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var fvt=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^selections/,attr:\"selectionrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],hvt=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function 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i2=ye((Rsr,eve)=>{\"use strict\";var Lpt=$b().getAxisGroup;eve.exports=function(t,r,n,i,a){var o=r.orientation,s=r[{v:\"x\",h:\"y\"}[o]+\"axis\"],l=Lpt(n,s)+o,u=n._alignmentOpts||{},c=i(\"alignmentgroup\"),f=u[l];f||(f=u[l]={});var h=f[c];h?h.traces.push(r):h=f[c]={traces:[r],alignmentIndex:Object.keys(f).length,offsetGroups:{}};var d=i(\"offsetgroup\")||\"\",v=h.offsetGroups,m=v[d];r._offsetIndex=0,(a!==\"group\"||d)&&(m||(m=v[d]={offsetIndex:Object.keys(v).length}),r._offsetIndex=m.offsetIndex)}});var vU=ye((Dsr,tve)=>{\"use strict\";var Ppt=Pr(),Ipt=i2(),Rpt=pf();tve.exports=function(t,r){var n,i,a,o=r.scattermode;function s(h){return Ppt.coerce(i._input,i,Rpt,h)}if(r.scattermode===\"group\")for(a=0;a<t.length;a++)i=t[a],i.type===\"scatter\"&&(n=i._input,Ipt(n,i,r,s,o));for(a=0;a<t.length;a++){var l=t[a];if(l.type===\"scatter\"){var u=l.fill;if(!(u===\"none\"||u===\"toself\")&&(l.opacity=void 0,u===\"tonexty\"||u===\"tonextx\"))for(var c=a-1;c>=0;c--){var 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s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[gve(t)]===t.uid,h=(xU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},m={padded:!0};o&&(v.ppad=m.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!_U.hasMarkers(t)&&!_U.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?m.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(m.padded=!1),u&&(t._extremes[u]=s4.findExtremes(r,i,v)),c&&(t._extremes[c]=s4.findExtremes(n,a,m))}function vve(e,t){if(_U.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},yU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};s4.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new 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c=Hpt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}oI.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};oI.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};oI.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var S_=ye((Vsr,xve)=>{\"use strict\";xve.exports={TEXTPAD:3,eventDataKeys:[\"value\",\"label\"]}});var n2=ye((Gsr,Ave)=>{\"use strict\";var B0=Eo(),{isArrayOrTypedArray:By}=Pr(),{BADNUM:dT}=fs(),jpt=Oa(),l4=ho(),{getAxisGroup:Wpt}=$b(),sI=_ve(),{TEXTPAD:Xpt}=S_(),{LINE_SPACING:Zpt}=Dh(),{BR_TAG_ALL:Ypt}=Zl();function Kpt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&jpt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};wU(e,r,n,l,d),wU(e,n,r,s,d)}function wU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(Qpt(r,n),i.mode){case\"overlay\":bU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&e0t(e,t,r,o,i),a.length&&bU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 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null}:e.d2c;if(By(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),B0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=B0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function bU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new sI([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});TU(e,t,s,i),i.norm?(Tve(s),AU(r,s,i)):wve(r,s)}}function e0t(e,t,r,n,i){var a=new sI(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});TU(e,t,a,i),a0t(a,t),i.norm?(Tve(a),AU(r,a,i)):wve(r,a)}function t0t(e,t,r,n,i){var a=new sI(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});TU(e,t,a,i),n0t(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==dT){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&AU(r,a,i)}function TU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,m;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=Wpt(i,t._id)+l[0][0].trace.orientation;m=i._alignmentOpts[b]||{}}for(var p=0;p<u;p++){var k=l[p],M=k[0].trace;if(t._id!==\"angularaxis\"){var T=m[M.alignmentgroup]||{},L=Object.keys(T.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*M._offsetIndex+1-L)*h-d)/2:v=c?((2*p+1-u)*h-d)/2:-d/2}var x=k[0].t;x.barwidth=d,x.offsetindex=M._offsetIndex||0,x.poffset=v,x.bargroupwidth=f,x.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,r0t(r),i0t(t,r),t._id===\"angularaxis\"?bve(t,r):bve(t,r,c)}function r0t(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(By(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)B0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 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T=k?b[v]:b,L=M?p[v]:p;h=f.p+T,d=h+L,c.push(h,d)}}u._extremes[e._id]=l4.findExtremes(e,c,{padded:!1})}}function wve(e,t){for(var r=t.traces,n=vT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var h=a[f],d=s?0:h.b,v=s?l?h.y:h.x:d+h.s;h[n]=v,u.push(v),h.hasB&&u.push(d),(!h.hasB||!h.b)&&(c=!0)}let{ppadminus:m,ppadplus:b}=SU(o,a);o._extremes[e._id]=l4.findExtremes(e,u,{tozero:c,padded:!0,ppadplus:b,ppadminus:m})}}function n0t(e,t,r){var n=vT(e),i=t.traces,a,o,s,l,u,c,f;for(l=0;l<i.length;l++)if(a=i[l],o=a[0].trace,o.type===\"funnel\")for(f=a[0].t.offsetindex,u=0;u<a.length;u++)c=a[u],c.s!==dT&&t.put(c.p,f,-.5*c.s);for(l=0;l<i.length;l++){a=i[l],o=a[0].trace,s=o.type===\"funnel\",f=o.type===\"barpolar\"?0:a[0].t.offsetindex;var h=[];for(u=0;u<a.length;u++)if(c=a[u],c.s!==dT){var d;s?d=c.s:d=c.s+c.b;var v=t.put(c.p,f,d),m=v+d;c.b=v,c[n]=m,r.norm||(h.push(m),c.hasB&&h.push(v))}if(!r.norm){let{ppadminus:b,ppadplus:p}=SU(o,a);o._extremes[e._id]=l4.findExtremes(e,h,{tozero:!0,padded:!0,ppadplus:p,ppadminus:b})}}}function Tve(e){for(var t=e.traces,r=0;r<t.length;r++)for(var n=t[r],i=n[0].t.offsetindex,a=0;a<n.length;a++){var o=n[a];o.s!==dT&&e.put(o.p,i,o.b+o.s)}}function a0t(e,t){for(var r=e.traces,n=0;n<r.length;n++){var i=r[n],a=i[0].trace,o=i[0].t.offsetindex;if(a.base===void 0)for(var s=new sI([i],{posAxis:t,sepNegVal:!0,overlapNoMerge:!0}),l=0;l<i.length;l++){var u=i[l];if(u.p!==dT){var c=s.put(u.p,o,u.b+u.s);c&&(u.b=c)}}}}function AU(e,t,r){var n=t.traces,i=vT(e),a=r.norm===\"fraction\"?1:100,o=a/1e9,s=e.l2c(e.c2l(0)),l=r.mode===\"stack\"?a:s;function u(x){return B0(e.c2l(x))&&(x<s-o||x>l+o||!B0(s))}for(var c=0;c<n.length;c++){for(var f=n[c],h=f[0].t.offsetindex,d=f[0].trace,v=[],m=!1,b=!1,p=0;p<f.length;p++){var k=f[p];if(k.s!==dT){var M=Math.abs(a/t.get(k.p,h,k.s));k.b*=M,k.s*=M;var T=k.b,L=T+k.s;k[i]=L,v.push(L),b=b||u(L),k.hasB&&(v.push(T),b=b||u(T)),(!k.hasB||!k.b)&&(m=!0)}}let{ppadminus:x,ppadplus:C}=SU(d,f);d._extremes[e._id]=l4.findExtremes(e,v,{tozero:m,padded:b,ppadplus:C,ppadminus:x})}}function SU(e,t){if(e.orientation===\"v\"&&(e.text||e.texttemplate)&&e.textposition===\"outside\"&&(e.textangle===\"auto\"||e.textangle===0)){let n=function(a){return!a||typeof a!=\"string\"?0:(a.match(Ypt)||[]).length+1};var r;e.texttemplate?r=n(e.texttemplate):r=By(e.text)?Math.max(...e.text.map(a=>n(a))):n(e.text);let i=e.outsidetextfont.size*Zpt*r+Xpt;return{ppadplus:t.some(a=>a.s<0)?i:0,ppadminus:t.some(a=>a.s>=0)?i:0}}return{ppadplus:void 0,ppadminus:void 0}}function o0t(e,t,r,n){for(var i=vT(n),a=0;a<e.length;a++)for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l[i];l._sMin=t[u],l._sMax=r[u]}}function s0t(e,t){var r=vT(t),n={},i,a,o,s=1/0,l=-1/0;for(i=0;i<e.length;i++)for(o=e[i],a=0;a<o.length;a++){var u=o[a].p;B0(u)&&(s=Math.min(s,u),l=Math.max(l,u))}var c=1e4/(l-s),f=n.round=function(S){return String(Math.round(c*(S-s)))},h={},d={},v=e.some(function(S){var g=S[0].trace;return\"marker\"in g&&g.marker.cornerradius});for(i=0;i<e.length;i++){o=e[i],o[0].t.extents=n;var m=o[0].t.poffset,b=By(m);for(a=0;a<o.length;a++){var p=o[a],k=p[r]-p.w/2;if(B0(k)){var M=p[r]+p.w/2,T=f(p.p);n[T]?n[T]=[Math.min(k,n[T][0]),Math.max(M,n[T][1])]:n[T]=[k,M]}if(p.p0=p.p+(b?m[a]:m),p.p1=p.p0+p.w,p.s0=p.b,p.s1=p.s0+p.s,v){var L=Math.min(p.s0,p.s1)||0,x=Math.max(p.s0,p.s1)||0,C=p[r];h[C]=C in h?Math.min(h[C],L):L,d[C]=C in d?Math.max(d[C],x):x}}}v&&o0t(e,h,d,t)}function vT(e){return e._id.charAt(0)}Ave.exports={crossTraceCalc:Kpt,setGroupPositions:wU}});var kve=ye((Hsr,Eve)=>{\"use strict\";var Sve=O0(),Mve=n2().setGroupPositions;function l0t(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var 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wT=ye((Qsr,Xve)=>{\"use strict\";var Wve=Ru();Xve.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l,u,c,f,h=!Wve.hasMarkers(s)&&!Wve.hasText(s);if(h)return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++)u=n[l],c=i.c2p(u.x),f=a.c2p(u.y),u.i!==null&&r.contains([c,f],!1,l,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0;return o}});var Yve=ye((elr,Zve)=>{\"use strict\";Zve.exports={xaxis:{valType:\"subplotid\",dflt:\"x\",editType:\"calc+clearAxisTypes\"},yaxis:{valType:\"subplotid\",dflt:\"y\",editType:\"calc+clearAxisTypes\"}}});var FU=ye((tlr,$ve)=>{\"use strict\";var f4=Oa().traceIs,DU=W3();$ve.exports=function(t,r,n,i){n(\"autotypenumbers\",i.autotypenumbersDflt);var a=n(\"type\",(i.splomStash||{}).type);a===\"-\"&&(A0t(r,i.data),r.type===\"-\"?r.type=\"linear\":t.type=r.type)};function A0t(e,t){if(e.type===\"-\"){var r=e._id,n=r.charAt(0),i;r.indexOf(\"scene\")!==-1&&(r=n);var a=S0t(t,r,n);if(a){if(a.type===\"histogram\"&&n==={v:\"y\",h:\"x\"}[a.orientation||\"v\"]){e.type=\"linear\";return}var o=n+\"calendar\",s=a[o],l={noMultiCategory:!f4(a,\"cartesian\")||f4(a,\"noMultiCategory\")};if(a.type===\"box\"&&a._hasPreCompStats&&n==={h:\"x\",v:\"y\"}[a.orientation||\"v\"]&&(l.noMultiCategory=!0),l.autotypenumbers=e.autotypenumbers,Jve(a,n)){var u=Kve(a),c=[];for(i=0;i<t.length;i++){var f=t[i];!f4(f,\"box-violin\")||(f[n+\"axis\"]||n)!==r||(f[u]!==void 0?c.push(f[u][0]):f.name!==void 0?c.push(f.name):c.push(\"text\"),f[o]!==s&&(s=void 0))}e.type=DU(c,s,l)}else if(a.type===\"splom\"){var h=a.dimensions,d=h[a._axesDim[r]];d.visible&&(e.type=DU(d.values,s,l))}else e.type=DU(a[n]||[a[n+\"0\"]],s,l)}}}function S0t(e,t,r){for(var n=0;n<e.length;n++){var i=e[n];if(i.type===\"splom\"&&i._length>0&&(i[\"_\"+r+\"axes\"]||{})[t])return i;if((i[r+\"axis\"]||r)===t){if(Jve(i,r))return i;if((i[r]||[]).length||i[r+\"0\"])return i}}}function Kve(e){return{v:\"x\",h:\"y\"}[e.orientation||\"v\"]}function Jve(e,t){var r=Kve(e),n=f4(e,\"box-violin\"),i=f4(e._fullInput||{},\"candlestick\");return n&&!i&&t===r&&e[r]===void 0&&e[r+\"0\"]===void 0}});var dI=ye((rlr,Qve)=>{\"use strict\";var M0t=Yd().isTypedArraySpec;function E0t(e,t){var r=t.dataAttr||e._id.charAt(0),n={},i,a,o;if(t.axData)i=t.axData;else for(i=[],a=0;a<t.data.length;a++){var s=t.data[a];s[r+\"axis\"]===e._id&&i.push(s)}for(a=0;a<i.length;a++){var l=i[a][r];for(o=0;o<l.length;o++){var u=l[o];u!=null&&(n[u]=1)}}return Object.keys(n)}Qve.exports=function(t,r,n,i){if(r.type===\"category\"){var a=t.categoryarray,o=Array.isArray(a)&&a.length>0||M0t(a),s;o&&(s=\"array\");var l=n(\"categoryorder\",s),u;l===\"array\"&&(u=n(\"categoryarray\")),!o&&l===\"array\"&&(l=r.categoryorder=\"trace\"),l===\"trace\"?r._initialCategories=[]:l===\"array\"?r._initialCategories=u.slice():(u=E0t(r,i).sort(),l===\"category ascending\"?r._initialCategories=u:l===\"category 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v=\"\";(!i.noTicklabelposition||f===\"multicategory\")&&(v=d4.coerce(t,r,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:h===\"period\"?[\"outside\",\"inside\"]:o===\"x\"?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),i.noTicklabeloverflow||n(\"ticklabeloverflow\",v.indexOf(\"inside\")!==-1?\"hide past domain\":f===\"category\"||f===\"multicategory\"?\"allow\":\"hide past div\"),ape(r,a),q0t(t,r,n,i),F0t(t,r,n,i),i.noHover||(f!==\"category\"&&n(\"hoverformat\"),i.noUnifiedhovertitle||n(\"unifiedhovertitle.text\"));var m=n(\"color\"),b=m!==zU.color.dflt?m:s.color,p=l.label||a._dfltTitle[o];if(D0t(t,r,n,f,i),!u)return r;n(\"title.text\",p),d4.coerceFont(n,\"title.font\",s,{overrideDflt:{size:d4.bigFont(s.size),color:b}}),ipe(t,r,n,f);var k=i.hasMinor;if(k&&(P0t.newContainer(r,\"minor\"),ipe(t,r,n,f,{isMinor:!0})),R0t(t,r,n,f,i),npe(t,r,n,i),k){var M=i.isMinor;i.isMinor=!0,npe(t,r,n,i),i.isMinor=M}z0t(t,r,n,{dfltColor:m,bgColor:i.bgColor,showGrid:i.showGrid,hasMinor:k,attributes:zU}),k&&r.ticklabelindex==null&&!r.minor.ticks&&!r.minor.showgrid&&delete r.minor,(r.showline||r.ticks)&&n(\"mirror\");var T=f===\"multicategory\";if(!i.noTickson&&(f===\"category\"||T)&&(r.ticks||r.showgrid)&&(T?(n(\"tickson\",\"boundaries\"),delete r.ticklabelposition):n(\"tickson\")),T){var L=n(\"showdividers\");L&&(n(\"dividercolor\"),n(\"dividerwidth\"))}if(f===\"date\")if(I0t(t,r,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:B0t}),!r.rangebreaks.length)delete r.rangebreaks;else{for(var x=0;x<r.rangebreaks.length;x++)if(r.rangebreaks[x].pattern===vI){r._hasDayOfWeekBreaks=!0;break}if(ape(r,a),a._has(\"scattergl\")||a._has(\"splom\"))for(var C=0;C<i.data.length;C++){var S=i.data[C];(S.type===\"scattergl\"||S.type===\"splom\")&&(S.visible=!1,d4.warn(S.type+\" traces do not work on axes with rangebreaks. 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a=Og.traceLayerClasses,o=e._fullLayout,s=o._zindices,l=o._modules,u,c,f,h=[],d=[],v=0;v<s.length;v++)for(var m=s[v],b=0;b<l.length;b++){u=l[b];var p=u.name,k=bpe.modules[p].categories;if(k.svg){var M=u.layerName||p+\"layer\",T=M+(v?Number(v)+1:\"\"),L=u.plot;c=wpe(r,L,m),f=c[0],r=c[1],f.length&&h.push({i:a.indexOf(M),zindex:v,className:T,plotMethod:L,cdModule:f}),k.zoomScale&&d.push(\".\"+T)}}h.sort(function(S,g){return(S.zindex||0)-(g.zindex||0)||S.i-g.i});var x=t.plot.selectAll(\"g.mlayer\").data(h,function(S){return S.className});if(x.enter().append(\"g\").attr(\"class\",function(S){return S.className}).classed(\"mlayer\",!0).classed(\"rangeplot\",t.isRangePlot),x.exit().remove(),x.order(),x.each(function(S){var g=wI.select(this),P=S.className;S.plotMethod(e,t,S.cdModule,g,n,i),Og.clipOnAxisFalseQuery.indexOf(\".\"+P)===-1&&K0t.setClipUrl(g,t.layerClipId,e)}),o._has(\"scattergl\")&&(u=bpe.getModule(\"scattergl\"),f=wpe(r,u)[0],u.plot(e,t,f)),!e._context.staticPlot&&(t._hasClipOnAxisFalse&&(t.clipOnAxisFalseTraces=t.plot.selectAll(Og.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),d.length)){var C=t.plot.selectAll(d.join(\",\")).selectAll(\".trace\");t.zoomScalePts=C.selectAll(\"path.point\"),t.zoomScaleTxt=C.selectAll(\".textpoint\")}}xv.clean=function(e,t,r,n){var i=n._plots||{},a=t._plots||{},o=n._subplots||{},s,l,u;if(n._hasOnlyLargeSploms&&!t._hasOnlyLargeSploms)for(u in i)s=i[u],s.plotgroup&&s.plotgroup.remove();var c=n._has&&n._has(\"gl\"),f=t._has&&t._has(\"gl\");if(c&&!f)for(u in i)s=i[u],s._scene&&s._scene.destroy();if(o.xaxis&&o.yaxis){var h=M_.listIds({_fullLayout:n});for(l=0;l<h.length;l++){var d=h[l];t[M_.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var v=n._has&&n._has(\"cartesian\"),m=t._has&&t._has(\"cartesian\");if(v&&!m)Spe(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(o.cartesian)for(l=0;l<o.cartesian.length;l++){var b=o.cartesian[l];if(b.indexOf(s2)===-1&&!a[b]){var p=\".\"+b+\",.\"+b+\"-x,.\"+b+\"-y\";n._cartesianlayer.selectAll(p).remove(),Mpe(b,n)}}};xv.drawFramework=function(e){var t=e._fullLayout,r=e.calcdata,n,i={};for(n=0;n<r.length;n++){var a=r[n][0],o=a.trace,s=o.zorder||0;i[s]||(i[s]=[]),i[s].push(a)}var l=Object.keys(i).map(Number).sort(o2.sorterAsc);l.length||(l=[0]),t._zindices=l;var u=$0t(e),c=u.length,f=[];for(n=0;n<c;n++)f[n]=u[n].slice();for(var h=1;h<l.length;h++){var d=[];for(n=0;n<c;n++)d[n]=u[n].slice(),d[n][0]+=s2+(h+1);f=f.concat(d)}var v=t._cartesianlayer.selectAll(\".subplot\").data(f,String);v.enter().append(\"g\").attr(\"class\",function(m){return\"subplot \"+m[0]}),v.order(),v.exit().call(Spe,t),v.each(function(m){var b=m[0],p=b.indexOf(s2),k=p!==-1,M=k?b.slice(0,p):b,T=t._plots[b];T||(T=o2.extendFlat({},t._plots[M]),T&&(T.id=b,t._plots[b]=T,t._subplots.cartesian.push(b))),T&&(T.plotgroup=wI.select(this),Ape(e,T),k||(T.draglayer=iu(t._draggers,\"g\",b)))})};xv.rangePlot=function(e,t,r){Ape(e,t),Tpe(e,t,r),Y0t.style(e)};function $0t(e){var t=e._fullLayout,r=t._zindices.length,n=t._subplots.cartesian,i=n.length,a,o,s,l,u,c,f=[],h=[];for(a=0;a<i;a++){s=n[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;var d=u._mainAxis,v=c._mainAxis,m=d._id+v._id,b=t._plots[m];l.overlays=[],m!==s&&b?(l.mainplot=m,l.mainplotinfo=b,h.push(s)):(l.mainplot=void 0,l.mainplotinfo=void 0,f.push(s))}for(a=0;a<h.length;a++)s=h[a],l=t._plots[s],l.mainplotinfo.overlays.push(l);var p=f.concat(h),k=[];for(a=0;a<i;a++){s=p[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;for(var M=[],T=1;T<=r;T++){var L=\"\";for(T>1&&(L+=s2+T),M.push(s+L),o=0;o<l.overlays.length;o++)M.push(l.overlays[o].id+L)}M=M.concat([u.layer,c.layer,u.overlaying||\"\",c.overlaying||\"\"]),k.push(M)}return k}function Ape(e,t){var r=e._fullLayout,n=t.plotgroup,i=t.id,a=i.indexOf(s2),o=a!==-1,s=Og.layerValue2layerClass[t.xaxis.layer],l=Og.layerValue2layerClass[t.yaxis.layer],u=r._hasOnlyLargeSploms,c=r._zindices.length>1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=iu(n,\"path\",\"xlines-above\"),t.ylines=iu(n,\"path\",\"ylines-above\"),t.xaxislayer=iu(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=iu(n,\"g\",\"yaxislayer-above\");else{if(!o){var 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d=iu(n,\"g\",\"layer-between\");t.shapelayerBetween=iu(d,\"g\",\"shapelayer\"),t.imagelayerBetween=iu(d,\"g\",\"imagelayer\"),iu(n,\"path\",\"xlines-below\"),iu(n,\"path\",\"ylines-below\"),t.overlinesBelow=iu(n,\"g\",\"overlines-below\"),iu(n,\"g\",\"xaxislayer-below\"),iu(n,\"g\",\"yaxislayer-below\"),t.overaxesBelow=iu(n,\"g\",\"overaxes-below\")}t.overplot=iu(n,\"g\",\"overplot\"),t.plot=iu(t.overplot,\"g\",i),f&&c?t.zerolinelayerAbove=f.zerolinelayerAbove:t.zerolinelayerAbove=iu(n,\"g\",\"zerolinelayer-above\"),o||(t.xlines=iu(n,\"path\",\"xlines-above\"),t.ylines=iu(n,\"path\",\"ylines-above\"),t.overlinesAbove=iu(n,\"g\",\"overlines-above\"),iu(n,\"g\",\"xaxislayer-above\"),iu(n,\"g\",\"yaxislayer-above\"),t.overaxesAbove=iu(n,\"g\",\"overaxes-above\"),t.xlines=n.select(\".xlines-\"+s),t.ylines=n.select(\".ylines-\"+l),t.xaxislayer=n.select(\".xaxislayer-\"+s),t.yaxislayer=n.select(\".yaxislayer-\"+l))}else{var v=f.plotgroup,m=i+\"-x\",b=i+\"-y\";t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer,t.zerolinelayerAbove=f.zerolinelayerAbove,iu(f.overlinesBelow,\"path\",m),iu(f.overlinesBelow,\"path\",b),iu(f.overaxesBelow,\"g\",m),iu(f.overaxesBelow,\"g\",b),t.plot=iu(f.overplot,\"g\",i),iu(f.overlinesAbove,\"path\",m),iu(f.overlinesAbove,\"path\",b),iu(f.overaxesAbove,\"g\",m),iu(f.overaxesAbove,\"g\",b),t.xlines=v.select(\".overlines-\"+s).select(\".\"+m),t.ylines=v.select(\".overlines-\"+l).select(\".\"+b),t.xaxislayer=v.select(\".overaxes-\"+s).select(\".\"+m),t.yaxislayer=v.select(\".overaxes-\"+l).select(\".\"+b)}o||(u||(bI(t.minorGridlayer,\"g\",t.xaxis._id),bI(t.minorGridlayer,\"g\",t.yaxis._id),t.minorGridlayer.selectAll(\"g\").map(function(p){return p[0]}).sort(M_.idSort),bI(t.gridlayer,\"g\",t.xaxis._id),bI(t.gridlayer,\"g\",t.yaxis._id),t.gridlayer.selectAll(\"g\").map(function(p){return p[0]}).sort(M_.idSort)),t.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),t.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0))}function Spe(e,t){if(e){var r={};e.each(function(l){var u=l[0],c=wI.select(this);c.remove(),Mpe(u,t),r[u]=!0});for(var n in t._plots)for(var i=t._plots[n],a=i.overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(\".trace\").remove()}}}function Mpe(e,t){t._draggers.selectAll(\"g.\"+e).remove(),t._defs.select(\"#clip\"+t._uid+e+\"plot\").remove()}xv.toSVG=function(e){var t=e._fullLayout._glimages,r=wI.select(e).selectAll(\".svg-container\"),n=r.filter(function(a,o){return o===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\");function i(){var a=this,o=a.toDataURL(\"image/png\"),s=t.append(\"svg:image\");s.attr({xmlns:J0t.svg,\"xlink:href\":o,preserveAspectRatio:\"none\",x:0,y:0,width:a.style.width,height:a.style.height})}n.each(i)};xv.updateFx=KN().updateFx});var kpe=ye((ulr,Epe)=>{\"use strict\";var 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jr=P+qr-Ee.top,gt=P+ei-Ee.left;Z.call(VU.positionText,gt,jr).call(Ny.setClipUrl,z?m:null,e)}q.select(\"rect\").call(Ny.setRect,P,P,ie,Se),E.call(Ny.setRect,S/2,S/2,ke-S,be-S),C.call(Ny.setTranslate,Math.round(b.x.text-ke/2),Math.round(b.y.text-be/2)),M.attr({transform:\"rotate(\"+p+\",\"+b.x.text+\",\"+b.y.text+\")\"});var Ge=function(We,et){k.selectAll(\".annotation-arrow-g\").remove();var xt=b.x.head,At=b.y.head,Kt=b.x.tail+We,Qt=b.y.tail+et,Mr=b.x.text+We,Gr=b.y.text+et,Ir=k_.rotationXYMatrix(p,Mr,Gr),Yr=k_.apply2DTransform(Ir),_i=k_.apply2DTransform2(Ir),Pi=+E.attr(\"width\"),ai=+E.attr(\"height\"),mi=Mr-.5*Pi,un=mi+Pi,Fn=Gr-.5*ai,An=Fn+ai,Hn=[[mi,Fn,mi,An],[mi,An,un,An],[un,An,un,Fn],[un,Fn,mi,Fn]].map(_i);if(!Hn.reduce(function($r,Ri){return $r^!!k_.segmentsIntersect(xt,At,xt+1e6,At+1e6,Ri[0],Ri[1],Ri[2],Ri[3])},!1)){Hn.forEach(function($r){var Ri=k_.segmentsIntersect(Kt,Qt,xt,At,$r[0],$r[1],$r[2],$r[3]);Ri&&(Kt=Ri.x,Qt=Ri.y)});var Qn=t.arrowwidth,Vi=t.arrowcolor,Jn=t.arrowside,Yn=k.append(\"g\").style({opacity:l2.opacity(Vi)}).classed(\"annotation-arrow-g\",!0),Gt=Yn.append(\"path\").attr(\"d\",\"M\"+Kt+\",\"+Qt+\"L\"+xt+\",\"+At).style(\"stroke-width\",Qn+\"px\").call(l2.stroke,l2.rgb(Vi));if(ogt(Gt,Jn,t),l.annotationPosition&&Gt.node().parentNode&&!n){var wt=xt,tr=At;if(t.standoff){var ir=Math.sqrt(Math.pow(xt-Kt,2)+Math.pow(At-Qt,2));wt+=t.standoff*(Kt-xt)/ir,tr+=t.standoff*(Qt-At)/ir}var wr=Yn.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(Kt-wt)+\",\"+(Qt-tr),transform:UU(wt,tr)}).style(\"stroke-width\",Qn+6+\"px\").call(l2.stroke,\"rgba(0,0,0,0)\").call(l2.fill,\"rgba(0,0,0,0)\"),Xr,ti;p4.init({element:wr.node(),gd:e,prepFn:function(){var $r=Ny.getTranslate(C);Xr=$r.x,ti=$r.y,i&&i.autorange&&h(i._name+\".autorange\",!0),a&&a.autorange&&h(a._name+\".autorange\",!0)},moveFn:function($r,Ri){var 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r=Npe(e,t),n=r.on,i=r.off.concat(r.explicitOff),a={},o=e._fullLayout.annotations,s,l;if(n.length||i.length){for(s=0;s<n.length;s++)l=Ope(e.layout,\"annotations\",o[n[s]]),l.modifyItem(\"visible\",!0),qpe.extendFlat(a,l.getUpdateObj());for(s=0;s<i.length;s++)l=Ope(e.layout,\"annotations\",o[i[s]]),l.modifyItem(\"visible\",!1),qpe.extendFlat(a,l.getUpdateObj());return lgt.call(\"update\",e,{},a)}}function Npe(e,t){var r=e._fullLayout.annotations,n=[],i=[],a=[],o=(t||[]).length,s,l,u,c,f,h,d,v;for(s=0;s<r.length;s++)if(u=r[s],c=u.clicktoshow,c){for(l=0;l<o;l++)if(f=t[l],h=f.xaxis,d=f.yaxis,h._id===u.xref&&d._id===u.yref&&h.d2r(f.x)===Bpe(u._xclick,h)&&d.d2r(f.y)===Bpe(u._yclick,d)){u.visible?c===\"onout\"?v=i:v=a:v=n,v.push(s);break}l===o&&u.visible&&c===\"onout\"&&i.push(s)}return{on:n,off:i,explicitOff:a}}function Bpe(e,t){return t.type===\"log\"?t.l2r(e):t.d2r(e)}});var jU=ye((dlr,Gpe)=>{\"use strict\";var HU=Pr(),TT=ka();Gpe.exports=function(t,r,n,i){i(\"opacity\");var 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XU=Pr(),c2=ho(),pgt=AI().draw;Xpe.exports=function(t){var r=t._fullLayout,n=XU.filterVisible(r.annotations);if(n.length&&t._fullData.length)return XU.syncOrAsync([pgt,ggt],t)};function ggt(e){var t=e._fullLayout;XU.filterVisible(t.annotations).forEach(function(r){var n=c2.getFromId(e,r.xref),i=c2.getFromId(e,r.yref),a=c2.getRefType(r.xref),o=c2.getRefType(r.yref);r._extremes={},a===\"range\"&&Wpe(r,n),o===\"range\"&&Wpe(r,i)})}function Wpe(e,t){var r=t._id,n=r.charAt(0),i=e[n],a=e[\"a\"+n],o=e[n+\"ref\"],s=e[\"a\"+n+\"ref\"],l=e[\"_\"+n+\"padplus\"],u=e[\"_\"+n+\"padminus\"],c={x:1,y:-1}[n]*e[n+\"shift\"],f=3*e.arrowsize*e.arrowwidth||0,h=f+c,d=f-c,v=3*e.startarrowsize*e.arrowwidth||0,m=v+c,b=v-c,p;if(s===o){var k=c2.findExtremes(t,[t.r2c(i)],{ppadplus:h,ppadminus:d}),M=c2.findExtremes(t,[t.r2c(a)],{ppadplus:Math.max(l,m),ppadminus:Math.max(u,b)});p={min:[k.min[0],M.min[0]],max:[k.max[0],M.max[0]]}}else 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kc=Qb(),_gt=mc().overrideAll,xgt=vl().templatedArray;e0e.exports=_gt(xgt(\"annotation\",{visible:kc.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:kc.xanchor,xshift:kc.xshift,yanchor:kc.yanchor,yshift:kc.yshift,text:kc.text,textangle:kc.textangle,font:kc.font,width:kc.width,height:kc.height,opacity:kc.opacity,align:kc.align,valign:kc.valign,bgcolor:kc.bgcolor,bordercolor:kc.bordercolor,borderpad:kc.borderpad,borderwidth:kc.borderwidth,showarrow:kc.showarrow,arrowcolor:kc.arrowcolor,arrowhead:kc.arrowhead,startarrowhead:kc.startarrowhead,arrowside:kc.arrowside,arrowsize:kc.arrowsize,startarrowsize:kc.startarrowsize,arrowwidth:kc.arrowwidth,standoff:kc.standoff,startstandoff:kc.startstandoff,hovertext:kc.hovertext,hoverlabel:kc.hoverlabel,captureevents:kc.captureevents}),\"calc\",\"from-root\")});var r0e=ye((_lr,t0e)=>{\"use strict\";var YU=Pr(),bgt=ho(),wgt=Kd(),Tgt=jU(),Agt=SI();t0e.exports=function(t,r,n){wgt(t,r,{name:\"annotations\",handleItemDefaults:Sgt,fullLayout:n.fullLayout})};function Sgt(e,t,r,n){function i(s,l){return YU.coerce(e,t,Agt,s,l)}function a(s){var l=s+\"axis\",u={_fullLayout:{}};return u._fullLayout[l]=r[l],bgt.coercePosition(t,u,i,s,s,.5)}var o=i(\"visible\");o&&(Tgt(e,t,n.fullLayout,i),a(\"x\"),a(\"y\"),a(\"z\"),YU.noneOrAll(e,t,[\"x\",\"y\",\"z\"]),t.xref=\"x\",t.yref=\"y\",t.zref=\"z\",i(\"xanchor\"),i(\"yanchor\"),i(\"xshift\"),i(\"yshift\"),t.showarrow&&(t.axref=\"pixel\",t.ayref=\"pixel\",i(\"ax\",-10),i(\"ay\",-30),YU.noneOrAll(e,t,[\"ax\",\"ay\"])))}});var o0e=ye((xlr,a0e)=>{\"use strict\";var i0e=Pr(),n0e=ho();a0e.exports=function(t){for(var r=t.fullSceneLayout,n=r.annotations,i=0;i<n.length;i++)Mgt(n[i],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()};function Mgt(e,t){var r=t.fullSceneLayout,n=r.domain,i=t.fullLayout._size,a={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};e._xa={},i0e.extendFlat(e._xa,a),n0e.setConvert(e._xa),e._xa._offset=i.l+n.x[0]*i.w,e._xa.l2p=function(){return .5*(1+e._pdata[0]/e._pdata[3])*i.w*(n.x[1]-n.x[0])},e._ya={},i0e.extendFlat(e._ya,a),n0e.setConvert(e._ya),e._ya._offset=i.t+(1-n.y[1])*i.h,e._ya.l2p=function(){return .5*(1-e._pdata[1]/e._pdata[3])*i.h*(n.y[1]-n.y[0])}}});var JU=ye((blr,s0e)=>{\"use strict\";function KU(e,t){var r=[0,0,0,0],n,i;for(n=0;n<4;++n)for(i=0;i<4;++i)r[i]+=e[4*n+i]*t[n];return r}function Egt(e,t){var r=KU(e.projection,KU(e.view,KU(e.model,[t[0],t[1],t[2],1])));return r}s0e.exports=Egt});var u0e=ye((wlr,l0e)=>{\"use strict\";var kgt=AI().drawRaw,Cgt=JU(),Lgt=[\"x\",\"y\",\"z\"];l0e.exports=function(t){for(var r=t.fullSceneLayout,n=t.dataScale,i=r.annotations,a=0;a<i.length;a++){for(var o=i[a],s=!1,l=0;l<3;l++){var u=Lgt[l],c=o[u],f=r[u+\"axis\"],h=f.r2fraction(c);if(h<0||h>1){s=!0;break}}s?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+a+'\"]').remove():(o._pdata=Cgt(t.glplot.cameraParams,[r.xaxis.r2l(o.x)*n[0],r.yaxis.r2l(o.y)*n[1],r.zaxis.r2l(o.z)*n[2]]),kgt(t.graphDiv,o,a,t.id,o._xa,o._ya))}}});var h0e=ye((Tlr,f0e)=>{\"use strict\";var Pgt=Oa(),c0e=Pr();f0e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:SI()}}},layoutAttributes:SI(),handleDefaults:r0e(),includeBasePlot:Igt,convert:o0e(),draw:u0e()};function Igt(e,t){var r=Pgt.subplotsRegistry.gl3d;if(r)for(var n=r.attrRegex,i=Object.keys(e),a=0;a<i.length;a++){var o=i[a];n.test(o)&&(e[o].annotations||[]).length&&(c0e.pushUnique(t._basePlotModules,r),c0e.pushUnique(t._subplots.gl3d,o))}}});var $U=ye((Mlr,g0e)=>{\"use strict\";var 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a.yref!==\"paper\"&&u!==\"domain\"&&(o=N0.getFromId(t,a.yref),s=S0e(o,a,zm.paramIsY),s&&(a._extremes[o._id]=N0.findExtremes(o,s,A0e(a))))}};function w0e(e,t,r){let n=t[r+\"ref\"],i=r===\"x\"?zm.paramIsX:zm.paramIsY;function a(f,h){f===\"paper\"||N0.getRefType(f)===\"domain\"||(o[f]||(o[f]=[]),o[f].push(h))}let o={};if(t.type===\"path\"&&t.path){let f=t.path.match(zm.segmentRE)||[];for(var s=0,l=0;l<f.length;l++){let h=f[l],d=h.charAt(0),v=i[d].drawn;if(v===void 0)continue;let m=h.slice(1).match(zm.paramRE);m&&m.length>v&&(a(n[s],m[v]),s++)}}else a(n[0],t[r+\"0\"]),a(n[1],t[r+\"1\"]);let u={};for(let f in o){let h=N0.getFromId(e,f);if(h){var c=h.type===\"category\"||h.type===\"multicategory\"?h.r2c:h.d2c;h.type===\"date\"&&(c=eV.decodeDate(c)),u[h._id]=o[f].map(c)}}return u}function T0e(e){return M0e(e.line.width,e.xsizemode,e.x0,e.x1,e.path,!1)}function A0e(e){return M0e(e.line.width,e.ysizemode,e.y0,e.y1,e.path,!0)}function M0e(e,t,r,n,i,a){var o=e/2,s=a;if(t===\"pixel\"){var l=i?eV.extractPathCoords(i,a?zm.paramIsY:zm.paramIsX):[r,n],u=QU.aggNums(Math.max,null,l),c=QU.aggNums(Math.min,null,l),f=c<0?Math.abs(c)+o:o,h=u>0?u+o:o;return{ppad:o,ppadplus:s?f:h,ppadminus:s?h:f}}else return{ppad:o}}function S0e(e,t,r){var n=e._id.charAt(0)===\"x\"?\"x\":\"y\",i=e.type===\"category\"||e.type===\"multicategory\",a,o,s=0,l=0,u=i?e.r2c:e.d2c,c=t[n+\"sizemode\"]===\"scaled\";if(c?(a=t[n+\"0\"],o=t[n+\"1\"],i&&(s=t[n+\"0shift\"],l=t[n+\"1shift\"])):(a=t[n+\"anchor\"],o=t[n+\"anchor\"]),a!==void 0)return[u(a)+s,u(o)+l];if(t.path){var f=1/0,h=-1/0,d=t.path.match(zm.segmentRE),v,m,b,p,k;for(e.type===\"date\"&&(u=eV.decodeDate(u)),v=0;v<d.length;v++)m=d[v],b=r[m.charAt(0)].drawn,b!==void 0&&(p=d[v].slice(1).match(zm.paramRE),!(!p||p.length<b)&&(k=u(p[b]),k<f&&(f=k),k>h&&(h=k)));if(h>=f)return[f,h]}}});var P0e=ye((Llr,L0e)=>{\"use strict\";var C0e=pP();L0e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:$U(),supplyLayoutDefaults:y0e(),supplyDrawNewShapeDefaults:b0e(),includeBasePlot:KM()(\"shapes\"),calcAutorange:k0e(),draw:C0e.draw,drawOne:C0e.drawOne}});var tV=ye((Ilr,R0e)=>{\"use strict\";var I0e=Rh(),Hgt=vl().templatedArray,Plr=ZM();R0e.exports=Hgt(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",I0e.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",I0e.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})});var F0e=ye((Rlr,D0e)=>{\"use strict\";var jgt=Pr(),rV=ho(),Wgt=Kd(),Xgt=tV(),Zgt=\"images\";D0e.exports=function(t,r){var n={name:Zgt,handleItemDefaults:Ygt};Wgt(t,r,n)};function Ygt(e,t,r){function n(h,d){return jgt.coerce(e,t,Xgt,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=rV.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=rV.getFromId(o,c);f._imgIndices.push(t._index)}rV.coercePosition(t,o,n,c,u,0)}return t}});var B0e=ye((Dlr,O0e)=>{\"use strict\";var z0e=Fa(),Kgt=So(),MT=ho(),q0e=df(),Jgt=Wp();O0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s<r.images.length;s++){var l=r.images[s];if(l.visible)if(l.layer===\"below\"&&l.xref!==\"paper\"&&l.yref!==\"paper\"){o=q0e.ref2id(l.xref)+q0e.ref2id(l.yref);var u=r._plots[o];if(!u){a.push(l);continue}u.mainplot&&(o=u.mainplot.id),i[o]||(i[o]=[]),i[o].push(l)}else l.layer===\"above\"?n.push(l):a.push(l)}var c={x:{left:{sizing:\"xMin\",offset:0},center:{sizing:\"xMid\",offset:-1/2},right:{sizing:\"xMax\",offset:-1}},y:{top:{sizing:\"YMin\",offset:0},middle:{sizing:\"YMid\",offset:-1/2},bottom:{sizing:\"YMax\",offset:-1}}};function f(T){var L=z0e.select(this);if(this._imgSrc!==T.source)if(L.attr(\"xmlns\",Jgt.svg),!t._context.staticPlot||T.source&&T.source.slice(0,5)===\"data:\")L.attr(\"xlink:href\",T.source),this._imgSrc=T.source;else{var x=new Promise(function(C){var S=new Image;this.img=S,S.setAttribute(\"crossOrigin\",\"anonymous\"),S.onerror=g,S.onload=function(){var P=document.createElement(\"canvas\");P.width=this.width,P.height=this.height;var E=P.getContext(\"2d\",{willReadFrequently:!0});E.drawImage(this,0,0);var z=P.toDataURL(\"image/png\");L.attr(\"xlink:href\",z),C()},L.on(\"error\",g),S.src=T.source,this._imgSrc=T.source;function g(){L.remove(),C()}}.bind(this));t._promises.push(x)}}function h(T){var L=z0e.select(this),x=MT.getFromId(t,T.xref),C=MT.getFromId(t,T.yref),S=MT.getRefType(T.xref)===\"domain\",g=MT.getRefType(T.yref)===\"domain\",P=r._size,E,z;x!==void 0?E=typeof T.xref==\"string\"&&S?x._length*T.sizex:Math.abs(x.l2p(T.sizex)-x.l2p(0)):E=T.sizex*P.w,C!==void 0?z=typeof T.yref==\"string\"&&g?C._length*T.sizey:Math.abs(C.l2p(T.sizey)-C.l2p(0)):z=T.sizey*P.h;var q=E*c.x[T.xanchor].offset,V=z*c.y[T.yanchor].offset,G=c.x[T.xanchor].sizing+c.y[T.yanchor].sizing,Z,j;switch(x!==void 0?Z=typeof T.xref==\"string\"&&S?x._length*T.x+x._offset:x.r2p(T.x)+x._offset:Z=T.x*P.w+P.l,Z+=q,C!==void 0?j=typeof T.yref==\"string\"&&g?C._length*(1-T.y)+C._offset:C.r2p(T.y)+C._offset:j=P.h-T.y*P.h+P.t,j+=V,T.sizing){case\"fill\":G+=\" slice\";break;case\"stretch\":G=\"none\";break}L.attr({x:Z,y:j,width:E,height:z,preserveAspectRatio:G,opacity:T.opacity});var N=x&&MT.getRefType(T.xref)!==\"domain\"?x._id:\"\",H=C&&MT.getRefType(T.yref)!==\"domain\"?C._id:\"\",re=N+H;Kgt.setClipUrl(L,re?\"clip\"+r._uid+re:null,t)}function d(T){return[T.xref,T.x,T.sizex,T.yref,T.y,T.sizey].join(\"_\")}function v(T,L){return T._index-L._index}var m=r._imageLowerLayer.selectAll(\"image\").data(a,d),b=r._imageUpperLayer.selectAll(\"image\").data(n,d);m.enter().append(\"image\"),b.enter().append(\"image\"),m.exit().remove(),b.exit().remove(),m.each(function(T){f.bind(this)(T),h.bind(this)(T)}),b.each(function(T){f.bind(this)(T),h.bind(this)(T)}),m.sort(v),b.sort(v);var p=Object.keys(r._plots);for(s=0;s<p.length;s++){o=p[s];var k=r._plots[o];if(k.imagelayer){var M=k.imagelayer.selectAll(\"image\").data(i[o]||[],d);M.enter().append(\"image\"),M.exit().remove(),M.each(function(T){f.bind(this)(T),h.bind(this)(T)}),M.sort(v)}}}});var V0e=ye((Flr,U0e)=>{\"use strict\";var N0e=Eo(),$gt=E6();U0e.exports=function(t,r,n,i){r=r||{};var a=n===\"log\"&&r.type===\"linear\",o=n===\"linear\"&&r.type===\"log\";if(a||o){for(var s=t._fullLayout.images,l=r._id.charAt(0),u,c,f=0;f<s.length;f++)if(u=s[f],c=\"images[\"+f+\"].\",u[l+\"ref\"]===r._id){var h=u[l],d=u[\"size\"+l],v=null,m=null;if(a){v=$gt(h,r.range);var b=d/Math.pow(10,v)/2;m=2*Math.log(b+Math.sqrt(1+b*b))/Math.LN10}else v=Math.pow(10,h),m=v*(Math.pow(10,d/2)-Math.pow(10,-d/2));N0e(v)?N0e(m)||(m=null):(v=null,m=null),i(c+l,v),i(c+\"size\"+l,m)}}}});var H0e=ye((zlr,G0e)=>{\"use strict\";G0e.exports={moduleType:\"component\",name:\"images\",layoutAttributes:tV(),supplyLayoutDefaults:F0e(),includeBasePlot:KM()(\"images\"),draw:B0e(),convertCoords:V0e()}});var MI=ye((qlr,j0e)=>{\"use 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Qgt=ec(),emt=Ih(),tmt=Ao().extendFlat,rmt=mc().overrideAll,imt=q6(),W0e=vl().templatedArray,nmt=W0e(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});X0e.exports=rmt(W0e(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:nmt,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:tmt(imt({editType:\"arraydraw\"}),{}),font:Qgt({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:emt.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")});var J0e=ye((Blr,K0e)=>{\"use strict\";var EI=Pr(),Z0e=Kd(),Y0e=iV(),amt=MI(),omt=amt.name,smt=Y0e.buttons;K0e.exports=function(t,r){var n={name:omt,handleItemDefaults:lmt};Z0e(t,r,n)};function lmt(e,t,r){function n(o,s){return EI.coerce(e,t,Y0e,o,s)}var i=Z0e(e,t,{name:\"buttons\",handleItemDefaults:umt}),a=n(\"visible\",i.length>0);a&&(n(\"active\"),n(\"direction\"),n(\"type\"),n(\"showactive\"),n(\"x\"),n(\"y\"),EI.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),EI.coerceFont(n,\"font\",r.font),n(\"bgcolor\",r.paper_bgcolor),n(\"bordercolor\"),n(\"borderwidth\"))}function umt(e,t){function r(i,a){return EI.coerce(e,t,smt,i,a)}var n=r(\"visible\",e.method===\"skip\"||Array.isArray(e.args));n&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}});var ege=ye((Nlr,Q0e)=>{\"use strict\";Q0e.exports=Mf;var Ng=Fa(),$0e=ka(),ET=So(),kI=Pr();function Mf(e,t,r){this.gd=e,this.container=t,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}Mf.barWidth=2;Mf.barLength=20;Mf.barRadius=2;Mf.barPad=1;Mf.barColor=\"#808BA4\";Mf.prototype.enable=function(t,r,n){var i=this.gd._fullLayout,a=i.width,o=i.height;this.position=t;var s=this.position.l,l=this.position.w,u=this.position.t,c=this.position.h,f=this.position.direction,h=f===\"down\",d=f===\"left\",v=f===\"right\",m=f===\"up\",b=l,p=c,k,M,T,L;!h&&!d&&!v&&!m&&(this.position.direction=\"down\",h=!0);var x=h||m;x?(k=s,M=k+b,h?(T=u,L=Math.min(T+p,o),p=L-T):(L=u+p,T=Math.max(L-p,0),p=L-T)):(T=u,L=T+p,d?(M=s+b,k=Math.max(M-b,0),b=M-k):(k=s,M=Math.min(k+b,a),b=M-k)),this._box={l:k,t:T,w:b,h:p};var C=l>b,S=Mf.barLength+2*Mf.barPad,g=Mf.barWidth+2*Mf.barPad,P=s,E=u+c;E+g>o&&(E=o-g);var z=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call($0e.fill,Mf.barColor),C?(this.hbar=z.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:P,y:E,width:S,height:g}),this._hbarXMin=P+S/2,this._hbarTranslateMax=b-S):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var q=c>p,V=Mf.barWidth+2*Mf.barPad,G=Mf.barLength+2*Mf.barPad,Z=s+l,j=u;Z+V>a&&(Z=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(q?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call($0e.fill,Mf.barColor),q?(this.vbar=N.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:Z,y:j,width:V,height:G}),this._vbarYMin=j+G/2,this._vbarTranslateMax=p-G):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var H=this.id,re=k-.5,ae=q?M+V+.5:M+.5,_e=T-.5,Ee=C?L+g+.5:L+.5,Ce=i._topdefs.selectAll(\"#\"+H).data(C||q?[0]:[]);if(Ce.exit().remove(),Ce.enter().append(\"clipPath\").attr(\"id\",H).append(\"rect\"),C||q?(this._clipRect=Ce.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(ae)-Math.floor(re),height:Math.ceil(Ee)-Math.floor(_e)}),this.container.call(ET.setClipUrl,H,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(ET.setClipUrl,null),delete this._clipRect),C||q){var ge=Ng.behavior.drag().on(\"dragstart\",function(){Ng.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(ge);var ie=Ng.behavior.drag().on(\"dragstart\",function(){Ng.event.sourceEvent.preventDefault(),Ng.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),q&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};Mf.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(ET.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)};Mf.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=Ng.event.dx),this.vbar&&(r-=Ng.event.dy),this.setTranslate(t,r)};Mf.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=Ng.event.deltaY),this.vbar&&(r+=Ng.event.deltaY),this.setTranslate(t,r)};Mf.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=kI.constrain(Ng.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=kI.constrain(Ng.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};Mf.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=kI.constrain(t||0,0,n),r=kI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(ET.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(ET.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(ET.setTranslate,t,r+o*this._vbarTranslateMax)}}});var cge=ye((Ulr,uge)=>{\"use strict\";var kT=Fa(),y4=Mc(),_4=ka(),CT=So(),t0=Pr(),CI=Zl(),cmt=vl().arrayEditor,rge=Dh().LINE_SPACING,es=MI(),fmt=ege();uge.exports=function(t){var r=t._fullLayout,n=t0.filterVisible(r[es.name]);function i(h){y4.autoMargin(t,sge(h))}var a=r._menulayer.selectAll(\"g.\"+es.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(es.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){kT.select(this).selectAll(\"g.\"+es.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+es.headerGroupClassName).data(n,hmt);o.enter().append(\"g\").classed(es.headerGroupClassName,!0);for(var s=t0.ensureSingle(a,\"g\",es.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];ymt(t,u)}var c=\"updatemenus\"+r._uid,f=new fmt(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(aV)),o.exit().each(function(h){s.call(aV),i(h)}).remove(),o.each(function(h){var d=kT.select(this),v=h.type===\"dropdown\"?s:null;y4.manageCommandObserver(t,h,h.buttons,function(m){nV(t,h,h.buttons[m.index],d,v,f,m.index,!0)}),h.type===\"dropdown\"?(nge(t,d,s,f,h),ige(s,h)&&x4(t,d,s,f,h)):x4(t,d,null,null,h)})}};function hmt(e){return e._index}function dmt(e){return+e.attr(es.menuIndexAttrName)==-1}function ige(e,t){return+e.attr(es.menuIndexAttrName)===t._index}function nV(e,t,r,n,i,a,o,s){t.active=o,cmt(e.layout,es.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?x4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(es.menuIndexAttrName,\"-1\"),nge(e,n,i,a,t),s||x4(e,n,i,a,t))}function nge(e,t,r,n,i){var a=t0.ensureSingle(t,\"g\",es.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||es.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(oV,i,l,e).call(lge,i,u,c);var f=t0.ensureSingle(t,\"text\",es.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(CT.font,i.font).text(es.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-es.arrowOffsetX+i.pad.l,y:o.headerHeight/2+es.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(aV,String(ige(r,i)?-1:i._index)),x4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(age)}),a.on(\"mouseout\",function(){a.call(oge,i)}),CT.setTranslate(t,o.lx,o.ly)}function x4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!dmt(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?es.dropdownButtonClassName:es.buttonClassName,s=r.selectAll(\"g.\"+o).data(t0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+es.gapButtonHeader:c=h.headerWidth+es.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-es.gapButtonHeader+es.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-es.gapButtonHeader+es.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:es.gapButton,xPad:es.gapButton,index:0},m={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,p){var k=kT.select(this);k.call(oV,i,b,e).call(lge,i,v),k.on(\"click\",function(){kT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===p?(nV(e,i,b,t,r,n,-1),y4.executeAPICommand(e,b.method,b.args2)):(nV(e,i,b,t,r,n,p),y4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),k.on(\"mouseover\",function(){k.call(age)}),k.on(\"mouseout\",function(){k.call(oge,i),s.call(tge,i)})}),s.call(tge,i),d?(m.w=Math.max(h.openWidth,h.headerWidth),m.h=v.y-m.t):(m.w=v.x-m.l,m.h=Math.max(h.openHeight,h.headerHeight)),m.direction=i.direction,n&&(s.size()?vmt(e,t,r,n,i,m):pmt(n))}function vmt(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+es.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+es.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function pmt(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function oV(e,t,r,n){e.call(gmt,t).call(mmt,t,r,n)}function gmt(e,t){var r=t0.ensureSingle(e,\"rect\",es.itemRectClassName,function(n){n.attr({rx:es.rx,ry:es.ry,\"shape-rendering\":\"crispEdges\"})});r.call(_4.stroke,t.bordercolor).call(_4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function mmt(e,t,r,n){var i=t0.ensureSingle(e,\"text\",es.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=t0.templateString(a,o)),i.call(CT.font,t.font).text(a).call(CI.convertToTspans,n)}function tge(e,t){var r=t.active;e.each(function(n,i){var a=kT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+es.itemRectClassName).call(_4.fill,es.activeColor)})}function age(e){e.select(\"rect.\"+es.itemRectClassName).call(_4.fill,es.hoverColor)}function oge(e,t){e.select(\"rect.\"+es.itemRectClassName).call(_4.fill,t.bgcolor)}function ymt(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=CT.tester.selectAll(\"g.\"+es.dropdownButtonClassName).data(t0.filterVisible(t.buttons));n.enter().append(\"g\").classed(es.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=kT.select(this);h.call(oV,t,c,e);var d=h.select(\".\"+es.itemTextClassName),v=d.node()&&CT.bBox(d.node()).width,m=Math.max(v+es.textPadX,es.minWidth),b=t.font.size*rge,p=CI.lineCount(d),k=Math.max(b*p,es.minHeight)+es.textOffsetY;k=Math.ceil(k),m=Math.ceil(m),r.widths[f]=m,r.heights[f]=k,r.height1=Math.max(r.height1,k),r.width1=Math.max(r.width1,m),i?(r.totalWidth=Math.max(r.totalWidth,m),r.openWidth=r.totalWidth,r.totalHeight+=k+es.gapButton,r.openHeight+=k+es.gapButton):(r.totalWidth+=m+es.gapButton,r.openWidth+=m+es.gapButton,r.totalHeight=Math.max(r.totalHeight,k),r.openHeight=r.totalHeight)}),i?r.totalHeight-=es.gapButton:r.totalWidth-=es.gapButton,r.headerWidth=r.width1+es.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=es.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=es.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";t0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),t0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";t0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),t0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),y4.autoMargin(e,sge(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function sge(e){return es.autoMarginIdRoot+e._index}function lge(e,t,r,n){n=n||{};var i=e.select(\".\"+es.itemRectClassName),a=e.select(\".\"+es.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;CT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*rge,h=CI.lineCount(a),d=(h-1)*f/2;CI.positionText(a,es.textOffsetX,c/2-d+es.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function aV(e,t){e.attr(es.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+es.dropdownButtonClassName).remove()}});var hge=ye((Vlr,fge)=>{\"use strict\";var _mt=MI();fge.exports={moduleType:\"component\",name:_mt.name,layoutAttributes:iV(),supplyLayoutDefaults:J0e(),draw:cge()}});var b4=ye((Glr,dge)=>{\"use strict\";dge.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}});var sV=ye((Hlr,gge)=>{\"use strict\";var vge=ec(),xmt=q6(),bmt=Ao().extendDeepAll,wmt=mc().overrideAll,Tmt=YS(),pge=vl().templatedArray,f2=b4(),Amt=pge(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});gge.exports=wmt(pge(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:Amt,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:bmt(xmt({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:Tmt.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:vge({})},font:vge({}),activebgcolor:{valType:\"color\",dflt:f2.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:f2.railBgColor},bordercolor:{valType:\"color\",dflt:f2.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:f2.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:f2.tickLength},tickcolor:{valType:\"color\",dflt:f2.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:f2.minorTickLength}}),\"arraydraw\",\"from-root\")});var xge=ye((jlr,_ge)=>{\"use strict\";var LT=Pr(),mge=Kd(),yge=sV(),Smt=b4(),Mmt=Smt.name,Emt=yge.steps;_ge.exports=function(t,r){mge(t,r,{name:Mmt,handleItemDefaults:kmt})};function kmt(e,t,r){function n(f,h){return LT.coerce(e,t,yge,f,h)}for(var i=mge(e,t,{name:\"steps\",handleItemDefaults:Cmt}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=LT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),LT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),LT.coerceFont(n,\"font\",r.font);var c=n(\"currentvalue.visible\");c&&(n(\"currentvalue.xanchor\"),n(\"currentvalue.prefix\"),n(\"currentvalue.suffix\"),n(\"currentvalue.offset\"),LT.coerceFont(n,\"currentvalue.font\",t.font)),n(\"transition.duration\"),n(\"transition.easing\"),n(\"bgcolor\"),n(\"activebgcolor\"),n(\"bordercolor\"),n(\"borderwidth\"),n(\"ticklen\"),n(\"tickwidth\"),n(\"tickcolor\"),n(\"minorticklen\")}}function Cmt(e,t){function r(a,o){return LT.coerce(e,t,Emt,a,o)}var n;if(e.method!==\"skip\"&&!Array.isArray(e.args)?n=t.visible=!1:n=r(\"visible\"),n){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+t._index);r(\"value\",i),r(\"execute\")}}});var Lge=ye((Wlr,Cge)=>{\"use strict\";var Ug=Fa(),LI=Mc(),C_=ka(),Vg=So(),r0=Pr(),Lmt=r0.strTranslate,w4=Zl(),Pmt=vl().arrayEditor,Rs=b4(),cV=Dh(),Tge=cV.LINE_SPACING,lV=cV.FROM_TL,uV=cV.FROM_BR;Cge.exports=function(t){var r=t._context.staticPlot,n=t._fullLayout,i=Imt(n,t),a=n._infolayer.selectAll(\"g.\"+Rs.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(Rs.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),LI.autoMargin(t,Age(c))}if(a.exit().each(function(){Ug.select(this).selectAll(\"g.\"+Rs.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+Rs.groupClassName).data(i,Rmt);s.enter().append(\"g\").classed(Rs.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];Dmt(t,u)}s.each(function(c){var f=Ug.select(this);Bmt(c),LI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||Mge(t,f,d,h.index,!1,!0))}),Fmt(t,Ug.select(this),c)})}};function Age(e){return Rs.autoMarginIdRoot+e._index}function Imt(e,t){for(var r=e[Rs.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=t,n.push(a))}return n}function Rmt(e){return e._index}function Dmt(e,t){var r=Vg.tester.selectAll(\"g.\"+Rs.labelGroupClass).data(t._visibleSteps);r.enter().append(\"g\").classed(Rs.labelGroupClass,!0);var n=0,i=0;r.each(function(v){var m=Ug.select(this),b=Sge(m,{step:v},t),p=b.node();if(p){var k=Vg.bBox(p);i=Math.max(i,k.height),n=Math.max(n,k.width)}}),r.remove();var a=t._dims={};a.inputAreaWidth=Math.max(Rs.railWidth,Rs.gripHeight);var o=e._fullLayout._size;a.lx=o.l+o.w*t.x,a.ly=o.t+o.h*(1-t.y),t.lenmode===\"fraction\"?a.outerLength=Math.round(o.w*t.len):a.outerLength=t.len,a.inputAreaStart=0,a.inputAreaLength=Math.round(a.outerLength-t.pad.l-t.pad.r);var s=a.inputAreaLength-2*Rs.stepInset,l=s/(t._stepCount-1),u=n+Rs.labelPadding;if(a.labelStride=Math.max(1,Math.ceil(u/l)),a.labelHeight=i,a.currentValueMaxWidth=0,a.currentValueHeight=0,a.currentValueTotalHeight=0,a.currentValueMaxLines=1,t.currentvalue.visible){var c=Vg.tester.append(\"g\");r.each(function(v){var m=PI(c,t,v.label),b=m.node()&&Vg.bBox(m.node())||{width:0,height:0},p=w4.lineCount(m);a.currentValueMaxWidth=Math.max(a.currentValueMaxWidth,Math.ceil(b.width)),a.currentValueHeight=Math.max(a.currentValueHeight,Math.ceil(b.height)),a.currentValueMaxLines=Math.max(a.currentValueMaxLines,p)}),a.currentValueTotalHeight=a.currentValueHeight+t.currentvalue.offset,c.remove()}a.height=a.currentValueTotalHeight+Rs.tickOffset+t.ticklen+Rs.labelOffset+a.labelHeight+t.pad.t+t.pad.b;var f=\"left\";r0.isRightAnchor(t)&&(a.lx-=a.outerLength,f=\"right\"),r0.isCenterAnchor(t)&&(a.lx-=a.outerLength/2,f=\"center\");var h=\"top\";r0.isBottomAnchor(t)&&(a.ly-=a.height,h=\"bottom\"),r0.isMiddleAnchor(t)&&(a.ly-=a.height/2,h=\"middle\"),a.outerLength=Math.ceil(a.outerLength),a.height=Math.ceil(a.height),a.lx=Math.round(a.lx),a.ly=Math.round(a.ly);var d={y:t.y,b:a.height*uV[h],t:a.height*lV[h]};t.lenmode===\"fraction\"?(d.l=0,d.xl=t.x-t.len*lV[f],d.r=0,d.xr=t.x+t.len*uV[f]):(d.x=t.x,d.l=a.outerLength*lV[f],d.r=a.outerLength*uV[f]),LI.autoMargin(e,Age(t),d)}function Fmt(e,t,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),t.call(PI,r).call(Umt,r).call(qmt,r).call(Omt,r).call(Nmt,e,r).call(zmt,e,r);var n=r._dims;Vg.setTranslate(t,n.lx+r.pad.l,n.ly+r.pad.t),t.call(kge,r,!1),t.call(PI,r)}function PI(e,t,r){if(t.currentvalue.visible){var n=t._dims,i,a;switch(t.currentvalue.xanchor){case\"right\":i=n.inputAreaLength-Rs.currentValueInset-n.currentValueMaxWidth,a=\"left\";break;case\"center\":i=n.inputAreaLength*.5,a=\"middle\";break;default:i=Rs.currentValueInset,a=\"left\"}var o=r0.ensureSingle(e,\"text\",Rs.labelClass,function(h){h.attr({\"text-anchor\":a,\"data-notex\":1})}),s=t.currentvalue.prefix?t.currentvalue.prefix:\"\";if(typeof r==\"string\")s+=r;else{var l=t.steps[t.active].label,u=t._gd._fullLayout._meta;u&&(l=r0.templateString(l,u)),s+=l}t.currentvalue.suffix&&(s+=t.currentvalue.suffix),o.call(Vg.font,t.currentvalue.font).text(s).call(w4.convertToTspans,t._gd);var c=w4.lineCount(o),f=(n.currentValueMaxLines+1-c)*t.currentvalue.font.size*Tge;return w4.positionText(o,i,f),o}}function zmt(e,t,r){var n=r0.ensureSingle(e,\"rect\",Rs.gripRectClass,function(i){i.call(Ege,t,e,r).style(\"pointer-events\",\"all\")});n.attr({width:Rs.gripWidth,height:Rs.gripHeight,rx:Rs.gripRadius,ry:Rs.gripRadius}).call(C_.stroke,r.bordercolor).call(C_.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function Sge(e,t,r){var n=r0.ensureSingle(e,\"text\",Rs.labelClass,function(o){o.attr({\"text-anchor\":\"middle\",\"data-notex\":1})}),i=t.step.label,a=r._gd._fullLayout._meta;return a&&(i=r0.templateString(i,a)),n.call(Vg.font,r.font).text(i).call(w4.convertToTspans,r._gd),n}function qmt(e,t){var r=r0.ensureSingle(e,\"g\",Rs.labelsClass),n=t._dims,i=r.selectAll(\"g.\"+Rs.labelGroupClass).data(n.labelSteps);i.enter().append(\"g\").classed(Rs.labelGroupClass,!0),i.exit().remove(),i.each(function(a){var o=Ug.select(this);o.call(Sge,a,t),Vg.setTranslate(o,fV(t,a.fraction),Rs.tickOffset+t.ticklen+t.font.size*Tge+Rs.labelOffset+n.currentValueTotalHeight)})}function bge(e,t,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&Mge(e,t,r,o,!0,i)}function Mge(e,t,r,n,i,a){var o=r.active;r.active=n,Pmt(e.layout,Rs.name,r).applyUpdate(\"active\",n);var s=r.steps[r.active];t.call(kge,r,a),t.call(PI,r),e.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:i,previousActive:o}),s&&s.method&&i&&(t._nextMethod?(t._nextMethod.step=s,t._nextMethod.doCallback=i,t._nextMethod.doTransition=a):(t._nextMethod={step:s,doCallback:i,doTransition:a},t._nextMethodRaf=window.requestAnimationFrame(function(){var l=t._nextMethod.step;l.method&&(l.execute&&LI.executeAPICommand(e,l.method,l.args),t._nextMethod=null,t._nextMethodRaf=null)})))}function Ege(e,t,r){if(t._context.staticPlot)return;var n=r.node(),i=Ug.select(t);function a(){return r.data()[0]}function o(){var s=a();t.emit(\"plotly_sliderstart\",{slider:s});var l=r.select(\".\"+Rs.gripRectClass);Ug.event.stopPropagation(),Ug.event.preventDefault(),l.call(C_.fill,s.activebgcolor);var u=wge(s,Ug.mouse(n)[0]);bge(t,r,s,u,!0),s._dragging=!0;function c(){var h=a(),d=wge(h,Ug.mouse(n)[0]);bge(t,r,h,d,!1)}i.on(\"mousemove\",c),i.on(\"touchmove\",c);function f(){var h=a();h._dragging=!1,l.call(C_.fill,h.bgcolor),i.on(\"mouseup\",null),i.on(\"mousemove\",null),i.on(\"touchend\",null),i.on(\"touchmove\",null),t.emit(\"plotly_sliderend\",{slider:h,step:h.steps[h.active]})}i.on(\"mouseup\",f),i.on(\"touchend\",f)}e.on(\"mousedown\",o),e.on(\"touchstart\",o)}function Omt(e,t){var r=e.selectAll(\"rect.\"+Rs.tickRectClass).data(t._visibleSteps),n=t._dims;r.enter().append(\"rect\").classed(Rs.tickRectClass,!0),r.exit().remove(),r.attr({width:t.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each(function(i,a){var o=a%n.labelStride===0,s=Ug.select(this);s.attr({height:o?t.ticklen:t.minorticklen}).call(C_.fill,t.tickcolor),Vg.setTranslate(s,fV(t,a/(t._stepCount-1))-.5*t.tickwidth,(o?Rs.tickOffset:Rs.minorTickOffset)+n.currentValueTotalHeight)})}function Bmt(e){var t=e._dims;t.labelSteps=[];for(var r=e._stepCount,n=0;n<r;n+=t.labelStride)t.labelSteps.push({fraction:n/(r-1),step:e._visibleSteps[n]})}function kge(e,t,r){for(var n=e.select(\"rect.\"+Rs.gripRectClass),i=0,a=0;a<t._stepCount;a++)if(t._visibleSteps[a]._index===t.active){i=a;break}var o=fV(t,i/(t._stepCount-1));if(!t._invokingCommand){var s=n;r&&t.transition.duration>0&&(s=s.transition().duration(t.transition.duration).ease(t.transition.easing)),s.attr(\"transform\",Lmt(o-Rs.gripWidth*.5,t._dims.currentValueTotalHeight))}}function fV(e,t){var r=e._dims;return r.inputAreaStart+Rs.stepInset+(r.inputAreaLength-2*Rs.stepInset)*Math.min(1,Math.max(0,t))}function wge(e,t){var r=e._dims;return Math.min(1,Math.max(0,(t-Rs.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*Rs.stepInset-2*r.inputAreaStart)))}function Nmt(e,t,r){var n=r._dims,i=r0.ensureSingle(e,\"rect\",Rs.railTouchRectClass,function(a){a.call(Ege,t,e,r).style(\"pointer-events\",\"all\")});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,Rs.tickOffset+r.ticklen+n.labelHeight)}).call(C_.fill,r.bgcolor).attr(\"opacity\",0),Vg.setTranslate(i,0,n.currentValueTotalHeight)}function Umt(e,t){var r=t._dims,n=r.inputAreaLength-Rs.railInset*2,i=r0.ensureSingle(e,\"rect\",Rs.railRectClass);i.attr({width:n,height:Rs.railWidth,rx:Rs.railRadius,ry:Rs.railRadius,\"shape-rendering\":\"crispEdges\"}).call(C_.stroke,t.bordercolor).call(C_.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\"),Vg.setTranslate(i,Rs.railInset,(r.inputAreaWidth-Rs.railWidth)*.5+r.currentValueTotalHeight)}});var Ige=ye((Xlr,Pge)=>{\"use strict\";var Vmt=b4();Pge.exports={moduleType:\"component\",name:Vmt.name,layoutAttributes:sV(),supplyLayoutDefaults:xge(),draw:Lge()}});var II=ye((Zlr,Dge)=>{\"use strict\";var Rge=Ih();Dge.exports={bgcolor:{valType:\"color\",dflt:Rge.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:Rge.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 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Gmt=df(),Hmt=Zl(),qge=RI(),jmt=Dh().LINE_SPACING,DI=qge.name;function Oge(e){var t=e&&e[DI];return t&&t.visible}FI.isVisible=Oge;FI.makeData=function(e){for(var t=Gmt.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(Oge(a)){n.push(a);var o=a[DI];o._id=DI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};FI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[DI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(Hmt.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*jmt}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:qge.extraPad+n._offsetShift*2}}});var Gge=ye(($lr,Vge)=>{\"use strict\";var zI=Pr(),Nge=vl(),Uge=df(),Wmt=II(),Xmt=hV();Vge.exports=function(t,r,n){var i=t[n],a=r[n];if(!(i.rangeslider||r._requestRangeslider[a._id]))return;zI.isPlainObject(i.rangeslider)||(i.rangeslider={});var o=i.rangeslider,s=Nge.newContainer(a,\"rangeslider\");function l(L,x){return zI.coerce(o,s,Wmt,L,x)}var u,c;function f(L,x){return zI.coerce(u,c,Xmt,L,x)}var h=l(\"visible\");if(h){l(\"bgcolor\",r.plot_bgcolor),l(\"bordercolor\"),l(\"borderwidth\"),l(\"thickness\"),l(\"autorange\",!a.isValidRange(o.range)),l(\"range\");var d=r._subplots;if(d)for(var v=d.cartesian.filter(function(L){return L.slice(0,Math.max(0,L.indexOf(\"y\")))===Uge.name2id(n)}).map(function(L){return L.slice(L.indexOf(\"y\"),L.length)}),m=zI.simpleMap(v,Uge.id2name),b=0;b<m.length;b++){var p=m[b];u=o[p]||{},c=Nge.newContainer(s,p,\"yaxis\");var k=r[p],M;u.range&&k.isValidRange(u.range)&&(M=\"fixed\");var T=f(\"rangemode\",M);T!==\"match\"&&f(\"range\",k.range.slice())}s._input=o}}});var jge=ye((Qlr,Hge)=>{\"use strict\";var Zmt=df().list,Ymt=Mg().getAutoRange,Kmt=RI();Hge.exports=function(t){for(var r=Zmt(t,\"x\",!0),n=0;n<r.length;n++){var i=r[n],a=i[Kmt.name];a&&a.visible&&a.autorange&&(a._input.autorange=!0,a._input.range=a.range=Ymt(t,i))}}});var Yge=ye((eur,Zge)=>{\"use strict\";var qI=Fa(),Jmt=Oa(),$mt=Mc(),Jf=Pr(),OI=Jf.strTranslate,Xge=So(),L_=ka(),Qmt=qb(),eyt=mh(),dV=df(),tyt=yv(),ryt=Eg(),tl=RI();Zge.exports=function(e){for(var t=e._fullLayout,r=t._rangeSliderData,n=0;n<r.length;n++){var i=r[n][tl.name];i._clipId=i._id+\"-\"+t._uid}function a(s){return s._name}var o=t._infolayer.selectAll(\"g.\"+tl.containerClassName).data(r,a);o.exit().each(function(s){var l=s[tl.name];t._topdefs.select(\"#\"+l._clipId).remove()}).remove(),r.length!==0&&(o.enter().append(\"g\").classed(tl.containerClassName,!0).attr(\"pointer-events\",\"all\"),o.each(function(s){var l=qI.select(this),u=s[tl.name],c=t[dV.id2name(s.anchor)],f=u[dV.id2name(s.anchor)];if(u.range){var h=Jf.simpleMap(u.range,s.r2l),d=Jf.simpleMap(s.range,s.r2l),v;d[0]<d[1]?v=[Math.min(h[0],d[0]),Math.max(h[1],d[1])]:v=[Math.max(h[0],d[0]),Math.min(h[1],d[1])],u.range=u._input.range=Jf.simpleMap(v,s.l2r)}s.cleanRange(\"rangeslider.range\");var m=t._size,b=s.domain;u._width=m.w*(b[1]-b[0]);var p=Math.round(m.l+m.w*b[0]),k=Math.round(m.t+m.h*(1-s._counterDomainMin)+(s.side===\"bottom\"?s._depth:0)+u._offsetShift+tl.extraPad);l.attr(\"transform\",OI(p,k)),u._rl=Jf.simpleMap(u.range,s.r2l);var M=u._rl[0],T=u._rl[1],L=T-M;if(u.p2d=function(G){return G/u._width*L+M},u.d2p=function(G){return(G-M)/L*u._width},s.rangebreaks){var x=s.locateBreaks(M,T);if(x.length){var C,S,g=0;for(C=0;C<x.length;C++)S=x[C],g+=S.max-S.min;var P=u._width/(T-M-g),E=[-P*M];for(C=0;C<x.length;C++)S=x[C],E.push(E[E.length-1]-P*(S.max-S.min));for(u.d2p=function(G){for(var Z=E[0],j=0;j<x.length;j++){var N=x[j];if(G>=N.max)Z=E[j+1];else if(G<N.min)break}return 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i=e.select(\"rect.\"+tl.slideBoxClassName).node(),a=e.select(\"rect.\"+tl.grabAreaMinClassName).node(),o=e.select(\"rect.\"+tl.grabAreaMaxClassName).node();function s(){var l=qI.event,u=l.target,c=Wge(l),f=c-e.node().getBoundingClientRect().left,h=n.d2p(r._rl[0]),d=n.d2p(r._rl[1]),v=tyt.coverSlip();this.addEventListener(\"touchmove\",m),this.addEventListener(\"touchend\",b),v.addEventListener(\"mousemove\",m),v.addEventListener(\"mouseup\",b);function m(p){var k=Wge(p),M=+k-c,T,L,x;switch(u){case i:if(x=\"ew-resize\",h+M>r._length||d+M<0)return;T=h+M,L=d+M;break;case a:if(x=\"col-resize\",h+M>r._length)return;T=h+M,L=d;break;case o:if(x=\"col-resize\",d+M<0)return;T=h,L=d+M;break;default:x=\"ew-resize\",T=f,L=f+M;break}if(L<T){var C=L;L=T,T=C}n._pixelMin=T,n._pixelMax=L,ryt(qI.select(v),x),nyt(e,t,r,n)}function 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Ome=ye((gur,qme)=>{\"use strict\";var T4=Pr(),zme=mc().overrideAll,A4=TV(),h2={error_x:T4.extendFlat({},A4),error_y:T4.extendFlat({},A4)};delete h2.error_x.copy_zstyle;delete h2.error_y.copy_zstyle;delete h2.error_y.copy_ystyle;var S4={error_x:T4.extendFlat({},A4),error_y:T4.extendFlat({},A4),error_z:T4.extendFlat({},A4)};delete S4.error_x.copy_ystyle;delete S4.error_y.copy_ystyle;delete S4.error_z.copy_ystyle;delete S4.error_z.copy_zstyle;qme.exports={moduleType:\"component\",name:\"errorbars\",schema:{traces:{scatter:h2,bar:h2,histogram:h2,scatter3d:zme(S4,\"calc\",\"nested\"),scattergl:zme(h2,\"calc\",\"nested\")}},supplyDefaults:Ame(),calc:Cme(),makeComputeError:AV(),plot:Ime(),style:Fme(),hoverInfo:t1t};function t1t(e,t,r){(t.error_y||{}).visible&&(r.yerr=e.yh-e.y,t.error_y.symmetric||(r.yerrneg=e.y-e.ys)),(t.error_x||{}).visible&&(r.xerr=e.xh-e.x,t.error_x.symmetric||(r.xerrneg=e.x-e.xs))}});var Nme=ye((mur,Bme)=>{\"use 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pt=e.select(\".\"+gf.cbfills).selectAll(\"rect.\"+gf.cbfill).attr(\"style\",\"\").data(V);pt.enter().append(\"rect\").classed(gf.cbfill,!0).attr(\"style\",\"\"),pt.exit().remove();var jt=g.map(ke.c2p).map(Math.round).sort(function(qr,jr){return qr-jr});pt.each(function(qr,jr){var gt=[jr===0?g[0]:(V[jr]+V[jr-1])/2,jr===V.length-1?g[1]:(V[jr]+V[jr+1])/2].map(ke.c2p).map(Math.round);n&&(gt[1]=U0.constrain(gt[1]+(gt[1]>gt[0])?1:-1,jt[0],jt[1]));var Ge=I_.select(this).attr(n?\"x\":\"y\",_e).attr(n?\"y\":\"x\",I_.min(gt)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(I_.max(gt)-I_.min(gt),2));if(t._fillgradient)Gg.gradient(Ge,r,t._id,n?\"vertical\":\"horizontalreversed\",t._fillgradient,\"fill\");else{var Je=E(qr).replace(\"e-\",\"\");Ge.attr(\"fill\",EV(Je).toHexString())}});var 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ZI=ye((Cur,bye)=>{\"use strict\";bye.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}});var YI=ye((Lur,Aye)=>{\"use strict\";var D1t=ka(),wye=pv().hasColorscale,Tye=td(),F1t=Pr().coercePattern;Aye.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=wye(t,\"marker\");s&&Tye(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",D1t.defaultLine),wye(t,\"marker.line\")&&Tye(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),F1t(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var i0=ye((Pur,Lye)=>{\"use strict\";var 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t.barmode;return}l!==\"overlay\"&&n(\"barnorm\"),n(\"bargap\",a&&!o?0:.2),n(\"bargroupgap\");var v=n(\"barcornerradius\");t.barcornerradius=X1t(v)}});var E4=ye((Rur,Iye)=>{\"use strict\";var RT=Pr();Iye.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;RT.mergeArray(r.text,t,\"tx\"),RT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){RT.mergeArray(i.opacity,t,\"mo\",!0),RT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(RT.mergeArray(a.color,t,\"mlc\"),RT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var Oye=ye((Dur,qye)=>{\"use strict\";var Rye=ho(),Dye=zg(),Fye=pv().hasColorscale,zye=gv(),Z1t=E4(),Y1t=q0();qye.exports=function(t,r){var n=Rye.getFromId(t,r.xaxis||\"x\"),i=Rye.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f={msUTC:!!(r.base||r.base===0)};r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\",f),s=i.makeCalcdata(r,\"y\"),l=Dye(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\",f),s=n.makeCalcdata(r,\"x\"),l=Dye(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var h=Math.min(o.length,a.length),d=new Array(h),v=0;v<h;v++)d[v]={p:o[v],s:a[v]},u&&(d[v].orig_p=s[v],d[v][c+\"End\"]=l.ends[v],d[v][c+\"Start\"]=l.starts[v]),r.ids&&(d[v].id=String(r.ids[v]));return Fye(r,\"marker\")&&zye(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),Fye(r,\"marker.line\")&&zye(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),Z1t(d,r),Y1t(d,r),d}});var bv=ye((Fur,Nye)=>{\"use strict\";var K1t=Fa(),J1t=Pr();function $1t(e,t,r){var n=e._fullLayout,i=n[\"_\"+r+\"Text_minsize\"];if(i){var a=n.uniformtext.mode===\"hide\",o;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":o=\"g.slice\";break;case\"treemap\":case\"icicle\":o=\"g.slice, g.pathbar\";break;default:o=\"g.points > g.point\"}t.selectAll(o).each(function(s){var l=s.transform;if(l){l.scale=a&&l.hide?0:i/l.fontSize;var u=K1t.select(this).select(\"text\");J1t.setTransormAndDisplay(u,l)}})}}function Q1t(e,t,r){if(r.uniformtext.mode){var n=Bye(e),i=r.uniformtext.minsize,a=t.scale*t.fontSize;t.hide=a<i,r[n]=r[n]||1/0,t.hide||(r[n]=Math.min(r[n],Math.max(a,i)))}}function e_t(e,t){var r=Bye(e);t[r]=void 0}function Bye(e){return\"_\"+e+\"Text_minsize\"}Nye.exports={recordMinTextSize:Q1t,clearMinTextSize:e_t,resizeText:$1t}});var JI=ye(v2=>{\"use strict\";var t_t=Eo(),r_t=fd(),Uye=Pr().isArrayOrTypedArray;v2.coerceString=function(e,t,r){if(typeof t==\"string\"){if(t||!e.noBlank)return t}else if((typeof t==\"number\"||t===!0)&&!e.strict)return String(t);return r!==void 0?r:e.dflt};v2.coerceNumber=function(e,t,r){if(t_t(t)){t=+t;var n=e.min,i=e.max,a=n!==void 0&&t<n||i!==void 0&&t>i;if(!a)return t}return r!==void 0?r:e.dflt};v2.coerceColor=function(e,t,r){return r_t(t).isValid()?t:r!==void 0?r:e.dflt};v2.coerceEnumerated=function(e,t,r){return e.coerceNumber&&(t=+t),e.values.indexOf(t)!==-1?t:r!==void 0?r:e.dflt};v2.getValue=function(e,t){var r;return Uye(e)?t<e.length&&(r=e[t]):r=e,r};v2.getLineWidth=function(e,t){var r=0<t.mlw?t.mlw:Uye(e.marker.line.width)?0:e.marker.line.width;return r}});var V0=ye((qur,$ye)=>{\"use strict\";var k4=Fa(),i_t=ka(),C4=So(),Vye=Pr(),Gye=Oa(),Hye=bv().resizeText,qV=qm(),n_t=qV.textfont,a_t=qV.insidetextfont,o_t=qV.outsidetextfont,ev=JI();function s_t(e){var t=k4.select(e).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");Hye(e,t,\"bar\");var r=t.size(),n=e._fullLayout;t.style(\"opacity\",function(i){return i[0].trace.opacity}).each(function(i){(n.barmode===\"stack\"&&r>1||n.bargap===0&&n.bargroupgap===0&&!i[0].trace.marker.line.width)&&k4.select(this).attr(\"shape-rendering\",\"crispEdges\")}),t.selectAll(\"g.points\").each(function(i){var a=k4.select(this),o=i[0].trace;jye(a,o,e)}),Gye.getComponentMethod(\"errorbars\",\"style\")(t)}function jye(e,t,r){C4.pointStyle(e.selectAll(\"path\"),t,r),Wye(e,t,r)}function Wye(e,t,r){e.selectAll(\"text\").each(function(n){var i=k4.select(this),a=Vye.ensureUniformFontSize(r,Xye(i,n,t,r));C4.font(i,a)})}function l_t(e,t,r){var n=t[0].trace;n.selectedpoints?u_t(r,n,e):(jye(r,n,e),Gye.getComponentMethod(\"errorbars\",\"style\")(r))}function u_t(e,t,r){C4.selectedPointStyle(e.selectAll(\"path\"),t),c_t(e.selectAll(\"text\"),t,r)}function c_t(e,t,r){e.each(function(n){var i=k4.select(this),a;if(n.selected){a=Vye.ensureUniformFontSize(r,Xye(i,n,t,r));var o=t.selected.textfont&&t.selected.textfont.color;o&&(a.color=o),C4.font(i,a)}else C4.selectedTextStyle(i,t)})}function Xye(e,t,r,n){var i=n._fullLayout.font,a=r.textfont;if(e.classed(\"bartext-inside\")){var o=Jye(t,r);a=Yye(r,t.i,i,o)}else e.classed(\"bartext-outside\")&&(a=Kye(r,t.i,i));return a}function Zye(e,t,r){return OV(n_t,e.textfont,t,r)}function Yye(e,t,r,n){var i=Zye(e,t,r),a=e._input.textfont===void 0||e._input.textfont.color===void 0||Array.isArray(e.textfont.color)&&e.textfont.color[t]===void 0;return a&&(i={color:i_t.contrast(n),family:i.family,size:i.size,weight:i.weight,style:i.style,variant:i.variant,textcase:i.textcase,lineposition:i.lineposition,shadow:i.shadow}),OV(a_t,e.insidetextfont,t,i)}function Kye(e,t,r){var n=Zye(e,t,r);return OV(o_t,e.outsidetextfont,t,n)}function OV(e,t,r,n){t=t||{};var i=ev.getValue(t.family,r),a=ev.getValue(t.size,r),o=ev.getValue(t.color,r),s=ev.getValue(t.weight,r),l=ev.getValue(t.style,r),u=ev.getValue(t.variant,r),c=ev.getValue(t.textcase,r),f=ev.getValue(t.lineposition,r),h=ev.getValue(t.shadow,r);return{family:ev.coerceString(e.family,i,n.family),size:ev.coerceNumber(e.size,a,n.size),color:ev.coerceColor(e.color,o,n.color),weight:ev.coerceString(e.weight,s,n.weight),style:ev.coerceString(e.style,l,n.style),variant:ev.coerceString(e.variant,u,n.variant),textcase:ev.coerceString(e.variant,c,n.textcase),lineposition:ev.coerceString(e.variant,f,n.lineposition),shadow:ev.coerceString(e.variant,h,n.shadow)}}function Jye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}$ye.exports={style:s_t,styleTextPoints:Wye,styleOnSelect:l_t,getInsideTextFont:Yye,getOutsideTextFont:Kye,getBarColor:Jye,resizeText:Hye}});var g2=ye((Our,o1e)=>{\"use strict\";var $I=Fa(),QI=Eo(),Fd=Pr(),f_t=Zl(),h_t=ka(),R_=So(),d_t=Oa(),e8=ho().tickText,Qye=bv(),v_t=Qye.recordMinTextSize,p_t=Qye.clearMinTextSize,BV=V0(),DT=JI(),g_t=S_(),e1e=qm(),m_t=e1e.text,y_t=e1e.textposition,__t=ip().appendArrayPointValue,Gv=g_t.TEXTPAD;function x_t(e){return e.id}function b_t(e){if(e.ids)return x_t}function NV(e){return(e>0)-(e<0)}function Om(e,t){return e<t?1:-1}function w_t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),n?[i,a]:[a,i]}function t1e(e,t,r,n){if(!t.uniformtext.mode&&r1e(r)){var i;return n&&(i=n()),e.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){i&&i()}).each(\"interrupt\",function(){i&&i()})}else return e}function r1e(e){return e&&e.duration>0}function T_t(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},p_t(\"bar\",l));var c=Fd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=$I.select(this),d=f[0].trace,v=f[0].t,m=d.type===\"waterfall\",b=d.type===\"funnel\",p=d.type===\"histogram\",k=d.type===\"bar\",M=k||b,T=0;m&&d.connector.visible&&d.connector.mode===\"between\"&&(T=d.connector.line.width/2);var L=d.orientation===\"h\",x=r1e(i),C=Fd.ensureSingle(h,\"g\",\"points\"),S=b_t(d),g=C.selectAll(\"g.point\").data(Fd.identity,S);g.enter().append(\"g\").classed(\"point\",!0),g.exit().remove(),g.each(function(E,z){var q=$I.select(this),V=w_t(E,o,s,L),G=V[0][0],Z=V[0][1],j=V[1][0],N=V[1][1],H=(L?Z-G:N-j)===0;H&&M&&DT.getLineWidth(d,E)&&(H=!1),H||(H=!QI(G)||!QI(Z)||!QI(j)||!QI(N)),E.isBlank=H,H&&(L?Z=G:N=j),T&&!H&&(L?(G-=Om(G,Z)*T,Z+=Om(G,Z)*T):(j-=Om(j,N)*T,N+=Om(j,N)*T));var re,ae;if(d.type===\"waterfall\"){if(!H){var _e=d[E.dir].marker;re=_e.line.width,ae=_e.color}}else re=DT.getLineWidth(d,E),ae=E.mc||d.marker.color;function Ee(Ae){var rt=$I.round(re/2%1,2);return i.gap===0&&i.groupgap===0?$I.round(Math.round(Ae)-rt,2):Ae}function Ce(Ae,rt,St){return St&&Ae===rt?Ae:Math.abs(Ae-rt)>=2?Ee(Ae):Ae>rt?Math.ceil(Ae):Math.floor(Ae)}var ge=h_t.opacity(ae),ie=ge<1||re>.01?Ee:Ce;e._context.staticPlot||(G=ie(G,Z,L),Z=ie(Z,G,L),j=ie(j,N,!L),N=ie(N,j,!L));var Se=L?o.c2p:s.c2p,ke;E.s0>0?ke=E._sMax:E.s0<0?ke=E._sMin:ke=E.s1>0?E._sMax:E._sMin;function be(Ae,rt){if(!Ae)return 0;var St=Math.abs(L?N-j:Z-G),Tt=Math.abs(L?Z-G:N-j),dt=ie(Math.abs(Se(ke,!0)-Se(0,!0))),Et=E.hasB?Math.min(St/2,Tt/2):Math.min(St/2,dt),pt;if(rt===\"%\"){var jt=Math.min(50,Ae);pt=St*(jt/100)}else pt=Ae;return ie(Math.max(Math.min(pt,Et),0))}var Be=k||p?be(v.cornerradiusvalue,v.cornerradiusform):0,Le,me,Pe=\"M\"+G+\",\"+j+\"V\"+N+\"H\"+Z+\"V\"+j+\"Z\",ce=0;if(Be&&E.s){var He=NV(E.s0)===0||NV(E.s)===NV(E.s0)?E.s1:E.s0;if(ce=ie(E.hasB?0:Math.abs(Se(ke,!0)-Se(He,!0))),ce<Be){var lt=Om(G,Z),mt=Om(j,N),Ht=lt===-mt?1:0;if(L)if(E.hasB)Le=\"M\"+(G+Be*lt)+\",\"+j+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" 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Vt=me<Be?Be-Math.sqrt(me*(2*Be-me)):0,rr=ce>0?Math.sqrt(ce*(2*Be-ce)):0,tt=mt>0?Math.max:Math.min;Le=\"M\"+(G+Vt*lt)+\",\"+j+\"V\"+tt(N-(Be-ce)*mt,j)+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" \"+(G+Be*lt-rr)+\",\"+N+\"H\"+(Z-Be*lt+rr)+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" \"+(Z-Vt*lt)+\",\"+tt(N-(Be-ce)*mt,j)+\"V\"+j+\"Z\"}}else Le=Pe}else Le=Pe;var je=t1e(Fd.ensureSingle(q,\"path\"),l,i,a);if(je.style(\"vector-effect\",u?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((Z-G)*(N-j))||H&&e._context.staticPlot?\"M0,0Z\":Le).call(R_.setClipUrl,t.layerClipId,e),!l.uniformtext.mode&&x){var Ue=R_.makePointStyleFns(d);R_.singlePointStyle(E,je,d,Ue,e)}A_t(e,t,q,f,z,G,Z,j,N,Be,ce,i,a),t.layerClipId&&R_.hideOutsideRangePoint(E,q.select(\"text\"),o,s,d.xcalendar,d.ycalendar)});var P=d.cliponaxis===!1;R_.setClipUrl(h,P?null:t.layerClipId,e)});d_t.getComponentMethod(\"errorbars\",\"plot\")(e,c,t,i)}function A_t(e,t,r,n,i,a,o,s,l,u,c,f,h){var d=t.xaxis,v=t.yaxis,m=e._fullLayout,b;function p(me,Pe,ce){var He=Fd.ensureSingle(me,\"text\").text(Pe).attr({class:\"bartext bartext-\"+b,\"text-anchor\":\"middle\",\"data-notex\":1}).call(R_.font,ce).call(f_t.convertToTspans,e);return He}var k=n[0].trace,M=k.orientation===\"h\",T=E_t(m,n,i,d,v);b=k_t(k,i);var L=f.mode===\"stack\"||f.mode===\"relative\",x=n[i],C=!L||x._outmost,S=x.hasB,g=u&&u-c>Gv;if(!T||b===\"none\"||(x.isBlank||a===o||s===l)&&(b===\"auto\"||b===\"inside\")){r.select(\"text\").remove();return}var P=m.font,E=BV.getBarColor(n[i],k),z=BV.getInsideTextFont(k,i,P,E),q=BV.getOutsideTextFont(k,i,P),V=k.insidetextanchor||\"end\",G=r.datum();M?d.type===\"log\"&&G.s0<=0&&(d.range[0]<d.range[1]?a=0:a=d._length):v.type===\"log\"&&G.s0<=0&&(v.range[0]<v.range[1]?s=v._length:s=0);var Z=Math.abs(o-a),j=Math.abs(l-s),N=Z-2*Gv,H=j-2*Gv,re,ae,_e,Ee,Ce;if(b===\"outside\"&&!C&&!x.hasB&&(b=\"inside\"),b===\"auto\")if(C){b=\"inside\",Ce=Fd.ensureUniformFontSize(e,z),re=p(r,T,Ce),ae=R_.bBox(re.node()),_e=ae.width,Ee=ae.height;var 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i(l){return H0.coerce(n._input,n,R4,l)}for(var a=0;a<e.length;a++){n=e[a];var o=n.type;if(o===\"box\"||o===\"violin\"){r=n._input;var s=t[o+\"mode\"];s===\"group\"&&H_t(r,n,t,i,s)}}}M1e.exports={supplyDefaults:j_t,crossTraceDefaults:W_t,handleSampleDefaults:A1e,handlePointsDefaults:S1e}});var t8=ye((Xur,k1e)=>{\"use strict\";var X_t=Oa(),Z_t=Pr(),Y_t=I4();function E1e(e,t,r,n,i){for(var a=i+\"Layout\",o=!1,s=0;s<r.length;s++){var l=r[s];if(X_t.traceIs(l,a)){o=!0;break}}o&&(n(i+\"mode\"),n(i+\"gap\"),n(i+\"groupgap\"))}function K_t(e,t,r){function n(i,a){return Z_t.coerce(e,t,Y_t,i,a)}E1e(e,t,r,n,\"box\")}k1e.exports={supplyLayoutDefaults:K_t,_supply:E1e}});var HV=ye((Zur,q1e)=>{\"use strict\";var GV=Eo(),r8=ho(),J_t=zg(),yh=Pr(),n0=fs().BADNUM,jy=yh._;q1e.exports=function(t,r){var n=t._fullLayout,i=r8.getFromId(t,r.xaxis||\"x\"),a=r8.getFromId(t,r.yaxis||\"y\"),o=[],s=r.type===\"violin\"?\"_numViolins\":\"_numBoxes\",l,u,c,f,h,d,v;r.orientation===\"h\"?(c=i,f=\"x\",h=a,d=\"y\",v=!!r.yperiodalignment):(c=a,f=\"y\",h=i,d=\"x\",v=!!r.xperiodalignment);var m=$_t(r,d,h,n[s]),b=m[0],p=m[1],k=yh.distinctVals(b,h),M=k.vals,T=k.minDiff/2,L,x,C,S,g,P,E=(r.boxpoints||r.points)===\"all\"?yh.identity:function(Ht){return Ht.v<L.lf||Ht.v>L.uf};if(r._hasPreCompStats){var z=r[f],q=function(Ht){return c.d2c((r[Ht]||[])[l])},V=1/0,G=-1/0;for(l=0;l<r._length;l++){var Z=b[l];if(GV(Z)){if(L={},L.pos=L[d]=Z,v&&p&&(L.orig_p=p[l]),L.q1=q(\"q1\"),L.med=q(\"median\"),L.q3=q(\"q3\"),x=[],z&&yh.isArrayOrTypedArray(z[l]))for(u=0;u<z[l].length;u++)P=c.d2c(z[l][u]),P!==n0&&(g={v:P,i:[l,u]},C1e(g,r,[l,u]),x.push(g));if(L.pts=x.sort(L1e),C=L[f]=x.map(P1e),S=C.length,L.med!==n0&&L.q1!==n0&&L.q3!==n0&&L.med>=L.q1&&L.q3>=L.med){var j=q(\"lowerfence\");L.lf=j!==n0&&j<=L.q1?j:I1e(L,C,S);var N=q(\"upperfence\");L.uf=N!==n0&&N>=L.q3?N:R1e(L,C,S);var H=q(\"mean\");L.mean=H!==n0?H:S?yh.mean(C,S):(L.q1+L.q3)/2;var re=q(\"sd\");L.sd=H!==n0&&re>=0?re:S?yh.stdev(C,S,L.mean):L.q3-L.q1,L.lo=D1e(L),L.uo=F1e(L);var ae=q(\"notchspan\");ae=ae!==n0&&ae>0?ae:z1e(L,S),L.ln=L.med-ae,L.un=L.med+ae;var _e=L.lf,Ee=L.uf;r.boxpoints&&C.length&&(_e=Math.min(_e,C[0]),Ee=Math.max(Ee,C[S-1])),r.notched&&(_e=Math.min(_e,L.ln),Ee=Math.max(Ee,L.un)),L.min=_e,L.max=Ee}else{yh.warn([\"Invalid input - make sure that q1 <= median <= q3\",\"q1 = \"+L.q1,\"median = \"+L.med,\"q3 = \"+L.q3].join(`\n",
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BT=ye((icr,o_e)=>{\"use strict\";var dxt=Tu(),{extendFlat:Pp}=Ao(),vxt=Vl(),{axisHoverFormat:JV}=vf(),pxt=ec(),{hovertemplateAttrs:gxt,templatefallbackAttrs:a_e,texttemplateAttrs:mxt}=Pl(),a0=pf();o_e.exports=Pp({z:{valType:\"data_array\",editType:\"calc\"},x:Pp({},a0.x,{impliedEdits:{xtype:\"array\"}}),x0:Pp({},a0.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:Pp({},a0.dx,{impliedEdits:{xtype:\"scaled\"}}),y:Pp({},a0.y,{impliedEdits:{ytype:\"array\"}}),y0:Pp({},a0.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:Pp({},a0.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:Pp({},a0.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:Pp({},a0.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:Pp({},a0.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:Pp({},a0.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:Pp({},a0.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:Pp({},a0.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:JV(\"x\"),yhoverformat:JV(\"y\"),zhoverformat:JV(\"z\",1),hovertemplate:gxt(),hovertemplatefallback:a_e(),texttemplate:mxt({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),texttemplatefallback:a_e({editType:\"plot\"}),textfont:pxt({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:Pp({},vxt.showlegend,{dflt:!1}),zorder:a0.zorder},dxt(\"\",{cLetter:\"z\",autoColorDflt:!1}))});var s8=ye((ncr,l_e)=>{\"use strict\";var yxt=Eo(),o8=Pr(),_xt=Oa();l_e.exports=function(t,r,n,i,a,o){var s=n(\"z\");a=a||\"x\",o=o||\"y\";var l,u;if(s===void 0||!s.length)return 0;if(o8.isArray1D(s)){l=n(a),u=n(o);var c=o8.minRowLength(l),f=o8.minRowLength(u);if(c===0||f===0)return 0;r._length=Math.min(c,f,s.length)}else{if(l=s_e(a,n),u=s_e(o,n),!xxt(s))return 0;n(\"transpose\"),r._length=null}var h=_xt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return h(t,r,[a,o],i),!0};function s_e(e,t){var r=t(e),n=r?t(e+\"type\",\"array\"):\"scaled\";return n===\"scaled\"&&(t(e+\"0\"),t(\"d\"+e)),r}function xxt(e){for(var t=!0,r=!1,n=!1,i,a=0;a<e.length;a++){if(i=e[a],!o8.isArrayOrTypedArray(i)){t=!1;break}i.length>0&&(r=!0);for(var o=0;o<i.length;o++)if(yxt(i[o])){n=!0;break}}return t&&r&&n}});var F4=ye((acr,c_e)=>{\"use strict\";var u_e=Pr();c_e.exports=function(t,r){t(\"texttemplate\"),t(\"texttemplatefallback\");var 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z8=Fa(),Ube=So(),x2t=b8(),b2t=FG();Vbe.exports=function(t){var r=z8.select(t).selectAll(\"g.contour\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=z8.select(this),a=n[0].trace,o=a.contours,s=a.line,l=o.size||1,u=o.start,c=o.type===\"constraint\",f=!c&&o.coloring===\"lines\",h=!c&&o.coloring===\"fill\",d=f||h?b2t(a):null;i.selectAll(\"g.contourlevel\").each(function(b){z8.select(this).selectAll(\"path\").call(Ube.lineGroupStyle,s.width,f?d(b.level):s.color,s.dash)});var v=o.labelfont;if(i.selectAll(\"g.contourlabels text\").each(function(b){Ube.font(z8.select(this),{weight:v.weight,style:v.style,variant:v.variant,textcase:v.textcase,lineposition:v.lineposition,shadow:v.shadow,family:v.family,size:v.size,color:v.color||(f?d(b.level):s.color)})}),c)i.selectAll(\"g.contourfill path\").style(\"fill\",a.fillcolor);else if(h){var m;i.selectAll(\"g.contourfill path\").style(\"fill\",function(b){return m===void 0&&(m=b.level),d(b.level+.5*l)}),m===void 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Xbe=ye((ffr,Wbe)=>{\"use strict\";Wbe.exports={attributes:bG(),supplyDefaults:dbe(),crossTraceDefaults:M8(),calc:MG(),plot:F8().plot,layerName:\"contourlayer\",style:q8(),colorbar:O8(),hoverPoints:zG(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:mh(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var Ybe=ye((hfr,Zbe)=>{\"use strict\";Zbe.exports=Xbe()});var qG=ye((dfr,t2e)=>{\"use strict\";var Kbe=Eo(),M2t=wG(),Qbe=ka(),Jbe=Qbe.addOpacity,E2t=Qbe.opacity,e2e=C8(),$be=Pr().isArrayOrTypedArray,k2t=e2e.CONSTRAINT_REDUCTION,C2t=e2e.COMPARISON_OPS2;t2e.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=k2t[f],L2t(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",Jbe((t.line||{}).color||a,.5))),l){var h=c&&E2t(c)?Jbe(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),M2t(n,i,u,o)};function L2t(e,t){var 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g2e=ye((yfr,p2e)=>{\"use strict\";var d2e=Pr(),V2t=Pm(),XT=Ru(),G2t=$p(),H2t=D0(),v2e=fT(),j2t=F0(),W2t=Fg(),X2t=BG();p2e.exports=function(t,r,n,i){function a(h,d){return d2e.coerce(t,r,X2t,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\"));var c=u<V2t.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),XT.hasMarkers(r)&&G2t(t,r,n,i,a,{gradient:!0}),XT.hasLines(r)&&(H2t(t,r,n,i,a,{backoff:!0}),v2e(t,r,a),a(\"connectgaps\")),XT.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),j2t(t,r,i,a));var f=[];(XT.hasMarkers(r)||XT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(W2t(t,r,n,a),XT.hasLines(r)||v2e(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),d2e.coerceSelectionMarkerOpacity(r,a)}});var y2e=ye((_fr,m2e)=>{\"use strict\";var NG=ho();m2e.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=NG.tickText(a.aaxis,t.a,!0).text,i.bLabel=NG.tickText(a.baxis,t.b,!0).text,i.cLabel=NG.tickText(a.caxis,t.c,!0).text,i}});var w2e=ye((xfr,b2e)=>{\"use strict\";var UG=Eo(),Z2t=z0(),Y2t=Dm(),K2t=q0(),J2t=O0().calcMarkerSize,_2e=[\"a\",\"b\",\"c\"],x2e={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};b2e.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<_2e.length;l++)if(c=_2e[l],!o[c]){for(h=o[x2e[c][0]],d=o[x2e[c][1]],f=new 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o.x0=Math.max(Math.min(o.x0,c),u),o.x1=Math.max(Math.min(o.x1,c),u),a}var f=o.cd[o.index],h=o.trace,d=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var v={};v[h.subplot]={_subplot:d};var m=h._module.formatLabels(f,h,v);o.aLabel=m.aLabel,o.bLabel=m.bLabel,o.cLabel=m.cLabel;var b=f.hi||h.hoverinfo,p=[];function k(T,L){p.push(T._hovertitle+\": \"+L)}if(!h.hovertemplate){var M=b.split(\"+\");M.indexOf(\"all\")!==-1&&(M=[\"a\",\"b\",\"c\"]),M.indexOf(\"a\")!==-1&&k(d.aaxis,o.aLabel),M.indexOf(\"b\")!==-1&&k(d.baxis,o.bLabel),M.indexOf(\"c\")!==-1&&k(d.caxis,o.cLabel)}return o.extraText=p.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}});var k2e=ye((Tfr,E2e)=>{\"use strict\";E2e.exports=function(t,r,n,i,a){if(r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),i[a]){var o=i[a];t.a=o.a,t.b=o.b,t.c=o.c}else t.a=r.a,t.b=r.b,t.c=r.c;return t}});var B2e=ye((Afr,O2e)=>{\"use strict\";var D2e=Fa(),ewt=fd(),VG=Oa(),Xy=Pr(),Vm=Xy.strTranslate,N8=Xy._,YT=ka(),U8=So(),X4=xm(),GG=Ao().extendFlat,twt=Mc(),q_=ho(),C2e=yv(),L2e=ef(),F2e=Cg(),P2e=F2e.freeMode,rwt=F2e.rectMode,HG=qb(),iwt=qf().prepSelect,nwt=qf().selectOnClick,awt=qf().clearOutline,owt=qf().clearSelectionsCache,z2e=Rh();function q2e(e,t){this.id=e.id,this.graphDiv=e.graphDiv,this.init(t),this.makeFramework(t),this.updateFx(t),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}O2e.exports=q2e;var Gm=q2e.prototype;Gm.init=function(e){this.container=e._ternarylayer,this.defs=e._defs,this.layoutId=e._uid,this.traceHash={},this.layers={}};Gm.plot=function(e,t){var r=this,n=t[r.id],i=t._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){r._hasClipOnAxisFalse=!0;break}}r.updateLayers(n),r.adjustLayout(n,i),twt.generalUpdatePerTraceModule(r.graphDiv,r,e,n),r.layers.plotbg.select(\"path\").call(YT.fill,n.bgcolor)};Gm.makeFramework=function(e){var t=this,r=t.graphDiv,n=e[t.id],i=t.clipId=\"clip\"+t.layoutId+t.id,a=t.clipIdRelative=\"clip-relative\"+t.layoutId+t.id;t.clipDef=Xy.ensureSingleById(e._clips,\"clipPath\",i,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.clipDefRelative=Xy.ensureSingleById(e._clips,\"clipPath\",a,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.plotContainer=Xy.ensureSingle(t.container,\"g\",t.id),t.updateLayers(n),U8.setClipUrl(t.layers.backplot,i,r),U8.setClipUrl(t.layers.grids,i,r)};Gm.updateFx=function(e){e._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",e.dragmode===\"pan\"?\"move\":\"crosshair\")};Gm.updateLayers=function(e){var t=this,r=t.layers,n=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];e.aaxis.layer===\"below traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"below traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"below traces\"&&n.push(\"caxis\",\"cline\"),n.push(\"frontplot\"),e.aaxis.layer===\"above 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r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,m,b,p,k,M;l>ZT*u?(p=u,b=p*ZT):(b=l,p=b/ZT),k=o*b/l,M=s*p/u,v=t.l+t.w*i-b/2,m=t.t+t.h*(1-a)-p/2,r.x0=v,r.y0=m,r.w=b,r.h=p,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-k/2,i+k/2],_id:\"x\"},X4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-M/2,a+M/2],_id:\"y\"},X4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var T=r.yaxis.domain[0],L=r.aaxis=GG({},e.aaxis,{range:[f,c-h-d],side:\"left\",tickangle:(+e.aaxis.tickangle||0)-30,domain:[T,T+M*ZT],anchor:\"free\",position:0,_id:\"y\",_length:b});X4(L,r.graphDiv._fullLayout),L.setScale();var x=r.baxis=GG({},e.baxis,{range:[c-f-d,h],side:\"bottom\",domain:r.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:b});X4(x,r.graphDiv._fullLayout),x.setScale();var C=r.caxis=GG({},e.caxis,{range:[c-f-h,d],side:\"right\",tickangle:(+e.caxis.tickangle||0)+30,domain:[T,T+M*ZT],anchor:\"free\",position:0,_id:\"y\",_length:b});X4(C,r.graphDiv._fullLayout),C.setScale();var S=\"M\"+v+\",\"+(m+p)+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDef.select(\"path\").attr(\"d\",S),r.layers.plotbg.select(\"path\").attr(\"d\",S);var g=\"M0,\"+p+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDefRelative.select(\"path\").attr(\"d\",g);var P=Vm(v,m);r.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),r.clipDefRelative.select(\"path\").attr(\"transform\",null);var E=Vm(v-x._offset,m+p);r.layers.baxis.attr(\"transform\",E),r.layers.bgrid.attr(\"transform\",E);var z=Vm(v+b/2,m)+\"rotate(30)\"+Vm(0,-L._offset);r.layers.aaxis.attr(\"transform\",z),r.layers.agrid.attr(\"transform\",z);var q=Vm(v+b/2,m)+\"rotate(-30)\"+Vm(0,-C._offset);r.layers.caxis.attr(\"transform\",q),r.layers.cgrid.attr(\"transform\",q),r.drawAxes(!0),r.layers.aline.select(\"path\").attr(\"d\",L.showline?\"M\"+v+\",\"+(m+p)+\"l\"+b/2+\",-\"+p:\"M0,0\").call(YT.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),r.layers.bline.select(\"path\").attr(\"d\",x.showline?\"M\"+v+\",\"+(m+p)+\"h\"+b:\"M0,0\").call(YT.stroke,x.linecolor||\"#000\").style(\"stroke-width\",(x.linewidth||0)+\"px\"),r.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(v+b/2)+\",\"+m+\"l\"+b/2+\",\"+p:\"M0,0\").call(YT.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),r.graphDiv._context.staticPlot||r.initInteractions(),U8.setClipUrl(r.layers.frontplot,r._hasClipOnAxisFalse?null:r.clipId,r.graphDiv)};Gm.drawAxes=function(e){var t=this,r=t.graphDiv,n=t.id.slice(7)+\"title\",i=t.layers,a=t.aaxis,o=t.baxis,s=t.caxis;if(t.drawAx(a),t.drawAx(o),t.drawAx(s),e){var 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c=t.aaxis,f=t.baxis,h=t.caxis;c.min+f.min+h.min>=a&&(c.min=0,f.min=0,h.min=0,e.aaxis&&delete e.aaxis.min,e.baxis&&delete e.baxis.min,e.caxis&&delete e.caxis.min)}function Ewt(e,t,r,n){var i=G2e[t._name];function a(d,v){return G8.coerce(e,t,i,d,v)}a(\"uirevision\",n.uirevision),t.type=\"linear\";var o=a(\"color\"),s=o!==i.color.dflt?o:r.font.color,l=t._name,u=l.charAt(0).toUpperCase(),c=\"Component \"+u,f=a(\"title.text\",c);t._hovertitle=f===c?f:u,G8.coerceFont(a,\"title.font\",r.font,{overrideDflt:{size:G8.bigFont(r.font.size),color:s}}),a(\"min\"),Awt(e,t,a,\"linear\"),wwt(e,t,a,\"linear\"),bwt(e,t,a,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),Twt(e,t,a,{outerTicks:!0});var h=a(\"showticklabels\");h&&(G8.coerceFont(a,\"tickfont\",r.font,{overrideDflt:{color:s}}),a(\"tickangle\"),a(\"tickformat\")),Swt(e,t,a,{dfltColor:o,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),a(\"hoverformat\"),a(\"layer\")}});var W2e=ye(Z0=>{\"use strict\";var kwt=B2e(),Cwt=Id().getSubplotCalcData,Lwt=Pr().counterRegex,KT=\"ternary\";Z0.name=KT;var Pwt=Z0.attr=\"subplot\";Z0.idRoot=KT;Z0.idRegex=Z0.attrRegex=Lwt(KT);var Iwt=Z0.attributes={};Iwt[Pwt]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};Z0.layoutAttributes=XG();Z0.supplyLayoutDefaults=j2e();Z0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[KT],a=0;a<i.length;a++){var o=i[a],s=Cwt(n,KT,o),l=r[o]._subplot;l||(l=new kwt({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};Z0.clean=function(e,t,r,n){for(var i=n._subplots[KT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};Z0.updateFx=function(e){var 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Oh=P4(),JT=Ao().extendFlat,J2e=vf().axisHoverFormat;$2e.exports={y:Oh.y,x:Oh.x,x0:Oh.x0,y0:Oh.y0,xhoverformat:J2e(\"x\"),yhoverformat:J2e(\"y\"),name:JT({},Oh.name,{}),orientation:JT({},Oh.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:Oh.fillcolor,points:JT({},Oh.boxpoints,{}),jitter:JT({},Oh.jitter,{}),pointpos:JT({},Oh.pointpos,{}),width:JT({},Oh.width,{}),marker:Oh.marker,text:Oh.text,hovertext:Oh.hovertext,hovertemplate:Oh.hovertemplate,hovertemplatefallback:Oh.hovertemplatefallback,quartilemethod:Oh.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:Oh.offsetgroup,alignmentgroup:Oh.alignmentgroup,selected:Oh.selected,unselected:Oh.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:Oh.zorder}});var JG=ye((Ifr,Q2e)=>{\"use strict\";var YG=I4(),KG=Pr().extendFlat;Q2e.exports={violinmode:KG({},YG.boxmode,{}),violingap:KG({},YG.boxgap,{}),violingroupgap:KG({},YG.boxgroupgap,{})}});var nwe=ye((Rfr,iwe)=>{\"use strict\";var ewe=Pr(),Rwt=ka(),twe=D4(),rwe=ZG();iwe.exports=function(t,r,n,i){function a(L,x){return ewe.coerce(t,r,rwe,L,x)}function o(L,x){return ewe.coerce2(t,r,rwe,L,x)}if(twe.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",Rwt.addOpacity(r.line.color,.5));twe.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),m=o(\"box.line.color\",c),b=o(\"box.line.width\",f),p=a(\"box.visible\",!!(d||v||m||b));p||(r.box={visible:!1});var 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uwe=ye((zfr,lwe)=>{\"use strict\";var $G=Pr(),QG=ho(),Bwt=HV(),swe=H8(),Nwt=fs().BADNUM;lwe.exports=function(t,r){var n=Bwt(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=QG.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(swe.extractVal),d=f.bandwidth=Vwt(r,f,h),v=f.span=Gwt(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var m=v[1]-v[0],b=Math.ceil(m/(d/3)),p=m/b;if(!isFinite(p)||!isFinite(b))return $G.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var k=swe.makeKDE(f,r,h);f.density=new Array(b+1);for(var M=0;M<f.density.length;M++){var T=v[0]+M*p,L=k(T);f.density[M]={v:L,t:T},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var x=QG.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=x,r.width)n[0].t.maxKDE=l;else{var 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bwe=ye((Nfr,xwe)=>{\"use strict\";var Ywt=ka(),iH=Pr(),Kwt=ho(),ywe=YV(),_we=H8();xwe.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var m=ywe.hoverOnBoxes(t,r,n,i);if(f&&m.length>0){var b=t.xa,p=t.ya,k,M,T,L,x;l.orientation===\"h\"?(x=r,k=\"y\",T=p,M=\"x\",L=b):(x=n,k=\"x\",T=b,M=\"y\",L=p);var C=s[t.index];if(x>=C.span[0]&&x<=C.span[1]){var S=iH.extendFlat({},t),g=L.c2p(x,!0),P=_we.getKdeValue(C,l,x),E=_we.getPositionOnKdePath(C,l,g),z=T._offset,q=T._length;S[k+\"0\"]=E[0],S[k+\"1\"]=E[1],S[M+\"0\"]=S[M+\"1\"]=g,S[M+\"Label\"]=M+\": \"+Kwt.hoverLabelText(L,x,l[M+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,G=0;G<m.length;G++)if(m[G].attr===\"med\"){V=G;break}S.spikeDistance=m[V].spikeDistance;var Z=k+\"Spike\";S[Z]=m[V][Z],m[V].spikeDistance=void 0,m[V][Z]=void 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s=W8.select(this),l=o[0].trace,u=N_.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible||!l.connector.line.width){u.remove();return}var c=l.orientation===\"h\",f=u.selectAll(\"g.line\").data(N_.identity);f.enter().append(\"g\").classed(\"line\",!0),f.exit().remove();var h=f.size();f.each(function(d,v){if(!(v!==h-1&&!d.cNext)){var m=Xwe(d,i,a,c),b=m[0],p=m[1],k=\"\";b[3]!==void 0&&p[3]!==void 0&&(c?(k+=\"M\"+b[0]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[2],k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[3]+\",\"+p[2]):(k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[3],k+=\"M\"+b[1]+\",\"+p[0]+\"L\"+b[2]+\",\"+p[2])),k===\"\"&&(k=\"M0,0Z\"),N_.ensureSingle(W8.select(this),\"path\").attr(\"d\",k).call(Wwe.setClipUrl,t.layerClipId,e)}})})}function Xwe(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),i[3]=o.c2p(e.nextS1,!0),a[3]=s.c2p(e.nextP1,!0),n?[i,a]:[a,i]}});var $we=ye(($fr,Jwe)=>{\"use strict\";var Y4=Fa(),Kwe=So(),cH=ka(),m3t=Z1().DESELECTDIM,y3t=V0(),_3t=bv().resizeText,x3t=y3t.styleTextPoints;function b3t(e,t,r){var n=r||Y4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");_3t(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=Y4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;Y4.select(this).call(cH.fill,s.mc||l.color).call(cH.stroke,s.mlc||l.line.color).call(Kwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?m3t:1)}}),x3t(a,o,e),a.selectAll(\".regions\").each(function(){Y4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(cH.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;Kwe.lineGroupStyle(Y4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}Jwe.exports={style:b3t}});var t3e=ye((Qfr,e3e)=>{\"use 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_c=qm(),hH=pf().line,A3t=Vl(),c3e=vf().axisHoverFormat,{hovertemplateAttrs:S3t,texttemplateAttrs:M3t,templatefallbackAttrs:f3e}=Pl(),h3e=u3e(),eA=Ao().extendFlat,E3t=ka();function dH(e){return{marker:{color:eA({},_c.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:eA({},_c.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:eA({},_c.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}d3e.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:_c.x,x0:_c.x0,dx:_c.dx,y:_c.y,y0:_c.y0,dy:_c.dy,xperiod:_c.xperiod,yperiod:_c.yperiod,xperiod0:_c.xperiod0,yperiod0:_c.yperiod0,xperiodalignment:_c.xperiodalignment,yperiodalignment:_c.yperiodalignment,xhoverformat:c3e(\"x\"),yhoverformat:c3e(\"y\"),hovertext:_c.hovertext,hovertemplate:S3t({},{keys:h3e.eventDataKeys}),hovertemplatefallback:f3e(),hoverinfo:eA({},A3t.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:M3t({editType:\"plot\"},{keys:h3e.eventDataKeys.concat([\"label\"])}),texttemplatefallback:f3e({editType:\"plot\"}),text:_c.text,textposition:_c.textposition,insidetextanchor:_c.insidetextanchor,textangle:_c.textangle,textfont:_c.textfont,insidetextfont:_c.insidetextfont,outsidetextfont:_c.outsidetextfont,constraintext:_c.constraintext,cliponaxis:_c.cliponaxis,orientation:_c.orientation,offset:_c.offset,width:_c.width,increasing:dH(\"increasing\"),decreasing:dH(\"decreasing\"),totals:dH(\"intermediate 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g3e=Pr(),k3t=i2(),C3t=i0().handleText,L3t=cT(),P3t=Dg(),m3e=vH(),I3t=ka(),y3e=tA(),R3t=y3e.INCREASING.COLOR,D3t=y3e.DECREASING.COLOR,F3t=\"#4499FF\";function gH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",I3t.defaultLine),e(t+\".marker.line.width\")}function z3t(e,t,r,n){function i(u,c){return g3e.coerce(e,t,m3e,u,c)}var a=L3t(e,t,n,i);if(!a){t.visible=!1;return}P3t(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\");var o=i(\"textposition\");C3t(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),i(\"texttemplatefallback\"),t.texttemplate||i(\"textinfo\")),gH(i,\"increasing\",R3t),gH(i,\"decreasing\",D3t),gH(i,\"totals\",F3t);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var l=i(\"connector.line.width\");l&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function q3t(e,t){var r,n;function i(o){return g3e.coerce(n._input,n,m3e,o)}if(t.waterfallmode===\"group\")for(var a=0;a<e.length;a++)n=e[a],r=n._input,k3t(r,n,t,i,t.waterfallmode)}_3e.exports={supplyDefaults:z3t,crossTraceDefaults:q3t}});var b3e=ye((lhr,x3e)=>{\"use strict\";var O3t=Pr(),B3t=pH();x3e.exports=function(e,t,r){var n=!1;function i(s,l){return O3t.coerce(e,t,B3t,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"waterfall\"){n=!0;break}}n&&(i(\"waterfallmode\"),i(\"waterfallgap\",.2),i(\"waterfallgroupgap\"))}});var E3e=ye((uhr,M3e)=>{\"use strict\";var w3e=ho(),T3e=zg(),A3e=Pr().mergeArray,N3t=q0(),S3e=fs().BADNUM;function yH(e){return e===\"a\"||e===\"absolute\"}function _H(e){return e===\"t\"||e===\"total\"}M3e.exports=function(t,r){var n=w3e.getFromId(t,r.xaxis||\"x\"),i=w3e.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=T3e(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=T3e(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var f=Math.min(o.length,a.length),h=new Array(f),d=0,v,m=!1,b=0;b<f;b++){var p=a[b]||0,k=!1;(a[b]!==S3e||_H(r.measure[b])||yH(r.measure[b]))&&b+1<f&&(a[b+1]!==S3e||_H(r.measure[b+1])||yH(r.measure[b+1]))&&(k=!0);var M=h[b]={i:b,p:o[b],s:p,rawS:p,cNext:k};yH(r.measure[b])?(d=M.s,M.isSum=!0,M.dir=\"totals\",M.s=d):_H(r.measure[b])?(M.isSum=!0,M.dir=\"totals\",M.s=d):(M.isSum=!1,M.dir=M.rawS<0?\"decreasing\":\"increasing\",v=M.s,M.s=d+v,d+=v),M.dir===\"totals\"&&(m=!0),u&&(h[b].orig_p=s[b],h[b][c+\"End\"]=l.ends[b],h[b][c+\"Start\"]=l.starts[b]),r.ids&&(M.id=String(r.ids[b])),M.v=(r.base||0)+d}return h.length&&(h[0].hasTotals=m),A3e(r.text,h,\"tx\"),A3e(r.hovertext,h,\"htx\"),N3t(h,r),h}});var L3e=ye((chr,C3e)=>{\"use strict\";var k3e=n2().setGroupPositions;C3e.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h];d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"waterfall\"&&(f=a[h],d.orientation===\"h\"?c.push(f):u.push(f),l.push(f))}var v={mode:n.waterfallmode,norm:n.waterfallnorm,gap:n.waterfallgap,groupgap:n.waterfallgroupgap};for(k3e(t,o,s,u,v),k3e(t,s,o,c,v),h=0;h<l.length;h++){f=l[h];for(var m=0;m<f.length;m++){var b=f[m];b.isSum===!1&&(b.s0+=m===0?0:f[m-1].s),m+1<f.length&&(f[m].nextP0=f[m+1].p0,f[m].nextS0=f[m+1].s0)}}}});var R3e=ye((fhr,I3e)=>{\"use strict\";var P3e=Fa(),X8=Pr(),U3t=So(),rA=fs().BADNUM,V3t=g2(),G3t=bv().clearMinTextSize;I3e.exports=function(t,r,n,i){var a=t._fullLayout;G3t(\"waterfall\",a),V3t.plot(t,r,n,i,{mode:a.waterfallmode,norm:a.waterfallmode,gap:a.waterfallgap,groupgap:a.waterfallgroupgap}),H3t(t,r,n,i)};function H3t(e,t,r,n){var i=t.xaxis,a=t.yaxis;X8.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=P3e.select(this),l=o[0].trace,u=X8.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible){u.remove();return}var c=l.orientation===\"h\",f=l.connector.mode,h=u.selectAll(\"g.line\").data(X8.identity);h.enter().append(\"g\").classed(\"line\",!0),h.exit().remove();var d=h.size();h.each(function(v,m){if(!(m!==d-1&&!v.cNext)){var b=j3t(v,i,a,c),p=b[0],k=b[1],M=\"\";p[0]!==rA&&k[0]!==rA&&p[1]!==rA&&k[1]!==rA&&(f===\"spanning\"&&!v.isSum&&m>0&&(c?M+=\"M\"+p[0]+\",\"+k[1]+\"V\"+k[0]:M+=\"M\"+p[1]+\",\"+k[0]+\"H\"+p[0]),f!==\"between\"&&(v.isSum||m<d-1)&&(c?M+=\"M\"+p[1]+\",\"+k[0]+\"V\"+k[1]:M+=\"M\"+p[0]+\",\"+k[1]+\"H\"+p[1]),p[2]!==rA&&k[2]!==rA&&(c?M+=\"M\"+p[1]+\",\"+k[1]+\"V\"+k[2]:M+=\"M\"+p[1]+\",\"+k[1]+\"H\"+p[2])),M===\"\"&&(M=\"M0,0Z\"),X8.ensureSingle(P3e.select(this),\"path\").attr(\"d\",M).call(U3t.setClipUrl,t.layerClipId,e)}})})}function j3t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),n?[i,a]:[a,i]}});var q3e=ye((hhr,z3e)=>{\"use strict\";var Z8=Fa(),D3e=So(),F3e=ka(),W3t=Z1().DESELECTDIM,X3t=V0(),Z3t=bv().resizeText,Y3t=X3t.styleTextPoints;function K3t(e,t,r){var 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t=e._readableState;nu(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Nj(e)}function Oj(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(WMt,e,t))}function WMt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(nu(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}Bu.prototype._read=function(e){dE(this,new NMt(\"_read()\"))};Bu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,nu(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:m;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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r=vE.prototype.on.call(this,e,t),n=this._readableState;return e===\"data\"?(n.readableListening=this.listenerCount(\"readable\")>0,n.flowing!==!1&&this.resume()):e===\"readable\"&&!n.endEmitted&&!n.readableListening&&(n.readableListening=n.needReadable=!0,n.flowing=!1,n.emittedReadable=!1,nu(\"on readable\",n.length,n.reading),n.length?OR(this):n.reading||process.nextTick(ZMt,this)),r};Bu.prototype.addListener=Bu.prototype.on;Bu.prototype.removeListener=function(e,t){var r=vE.prototype.removeListener.call(this,e,t);return e===\"readable\"&&process.nextTick(PSe,this),r};Bu.prototype.removeAllListeners=function(e){var t=vE.prototype.removeAllListeners.apply(this,arguments);return(e===\"readable\"||e===void 0)&&process.nextTick(PSe,this),t};function PSe(e){var t=e._readableState;t.readableListening=e.listenerCount(\"readable\")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount(\"data\")>0&&e.resume()}function ZMt(e){nu(\"readable nexttick read 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this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}});Bu._fromList=ISe;Object.defineProperty(Bu.prototype,\"readableLength\",{enumerable:!1,get:function(){return this._readableState.length}});function ISe(e,t){if(t.length===0)return null;var r;return t.objectMode?r=t.buffer.shift():!e||e>=t.length?(t.decoder?r=t.buffer.join(\"\"):t.buffer.length===1?r=t.buffer.first():r=t.buffer.concat(t.length),t.buffer.clear()):r=t.buffer.consume(e,t.decoder),r}function qj(e){var t=e._readableState;nu(\"endReadable\",t.endEmitted),t.endEmitted||(t.ended=!0,process.nextTick(JMt,t,e))}function JMt(e,t){if(nu(\"endReadableNT\",e.endEmitted,e.length),!e.endEmitted&&e.length===0&&(e.endEmitted=!0,t.readable=!1,t.emit(\"end\"),e.autoDestroy)){var r=t._writableState;(!r||r.autoDestroy&&r.finished)&&t.destroy()}}typeof Symbol==\"function\"&&(Bu.from=function(e,t){return Dj===void 0&&(Dj=ASe()),Dj(Bu,e,t)});function RSe(e,t){for(var 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+       "`)+'Actual message: \"'.concat(t&&t.message,'\"'),stackStartFn:e})}throw t}}Ef.throws=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];D4e.apply(void 0,[e,I4e(t)].concat(n))};Ef.rejects=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];return R4e(t).then(function(a){return D4e.apply(void 0,[e,a].concat(n))})};Ef.doesNotThrow=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];F4e.apply(void 0,[e,I4e(t)].concat(n))};Ef.doesNotReject=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];return R4e(t).then(function(a){return F4e.apply(void 0,[e,a].concat(n))})};Ef.ifError=function e(t){if(t!=null){var r=\"ifError got unwanted exception: \";Zg(t)===\"object\"&&typeof t.message==\"string\"?t.message.length===0&&t.constructor?r+=t.constructor.name:r+=t.message:r+=oD(t);var n=new J_({actual:t,expected:null,operator:\"ifError\",message:r,stackStartFn:e}),i=t.stack;if(typeof i==\"string\"){var a=i.split(`\n",
+       "`);a.shift();for(var o=n.stack.split(`\n",
+       "`),s=0;s<a.length;s++){var l=o.indexOf(a[s]);if(l!==-1){o=o.slice(0,l);break}}n.stack=\"\".concat(o.join(`\n",
+       "`),`\n",
+       "`).concat(a.join(`\n",
+       "`))}throw n}};function z4e(e,t,r,n,i){if(!sD(t))throw new EA(\"regexp\",\"RegExp\",t);var a=i===\"match\";if(typeof e!=\"string\"||lD(t,e)!==a){if(r instanceof Error)throw r;var o=!r;r=r||(typeof e!=\"string\"?'The \"string\" argument must be of type string. Received type '+\"\".concat(Zg(e),\" (\").concat(oD(e),\")\"):(a?\"The input did not match the regular expression \":\"The input was expected to not match the regular expression \")+\"\".concat(oD(t),`. Input:\n",
+       "\n",
+       "`).concat(oD(e),`\n",
+       "`));var s=new J_({actual:e,expected:t,message:r,operator:i,stackStartFn:n});throw s.generatedMessage=o,s}}Ef.match=function e(t,r,n){z4e(t,r,n,e,\"match\")};Ef.doesNotMatch=function e(t,r,n){z4e(t,r,n,e,\"doesNotMatch\")};function q4e(){for(var e=arguments.length,t=new Array(e),r=0;r<e;r++)t[r]=arguments[r];C4e.apply(void 0,[q4e,t.length].concat(t))}Ef.strict=ukt(q4e,Ef,{equal:Ef.strictEqual,deepEqual:Ef.deepStrictEqual,notEqual:Ef.notStrictEqual,notDeepEqual:Ef.notDeepStrictEqual});Ef.strict.strict=Ef.strict});var N4e=ye((nvr,B4e)=>{var IE=1e3,RE=IE*60,DE=RE*60,FE=DE*24,fkt=FE*365.25;B4e.exports=function(e,t){t=t||{};var r=typeof e;if(r===\"string\"&&e.length>0)return hkt(e);if(r===\"number\"&&isNaN(e)===!1)return t.long?vkt(e):dkt(e);throw new Error(\"val is not a non-empty string or a valid number. val=\"+JSON.stringify(e))};function hkt(e){if(e=String(e),!(e.length>100)){var t=/^((?:\\d+)?\\.?\\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(e);if(t){var r=parseFloat(t[1]),n=(t[2]||\"ms\").toLowerCase();switch(n){case\"years\":case\"year\":case\"yrs\":case\"yr\":case\"y\":return r*fkt;case\"days\":case\"day\":case\"d\":return r*FE;case\"hours\":case\"hour\":case\"hrs\":case\"hr\":case\"h\":return r*DE;case\"minutes\":case\"minute\":case\"mins\":case\"min\":case\"m\":return r*RE;case\"seconds\":case\"second\":case\"secs\":case\"sec\":case\"s\":return r*IE;case\"milliseconds\":case\"millisecond\":case\"msecs\":case\"msec\":case\"ms\":return r;default:return}}}}function dkt(e){return e>=FE?Math.round(e/FE)+\"d\":e>=DE?Math.round(e/DE)+\"h\":e>=RE?Math.round(e/RE)+\"m\":e>=IE?Math.round(e/IE)+\"s\":e+\"ms\"}function vkt(e){return fD(e,FE,\"day\")||fD(e,DE,\"hour\")||fD(e,RE,\"minute\")||fD(e,IE,\"second\")||e+\" ms\"}function fD(e,t,r){if(!(e<t))return e<t*1.5?Math.floor(e/t)+\" \"+r:Math.ceil(e/t)+\" \"+r+\"s\"}});var V4e=ye((Lc,U4e)=>{Lc=U4e.exports=pW.debug=pW.default=pW;Lc.coerce=_kt;Lc.disable=mkt;Lc.enable=gkt;Lc.enabled=ykt;Lc.humanize=N4e();Lc.names=[];Lc.skips=[];Lc.formatters={};var vW;function pkt(e){var t=0,r;for(r in e)t=(t<<5)-t+e.charCodeAt(r),t|=0;return Lc.colors[Math.abs(t)%Lc.colors.length]}function pW(e){function t(){if(t.enabled){var r=t,n=+new Date,i=n-(vW||n);r.diff=i,r.prev=vW,r.curr=n,vW=n;for(var a=new Array(arguments.length),o=0;o<a.length;o++)a[o]=arguments[o];a[0]=Lc.coerce(a[0]),typeof a[0]!=\"string\"&&a.unshift(\"%O\");var s=0;a[0]=a[0].replace(/%([a-zA-Z%])/g,function(u,c){if(u===\"%%\")return u;s++;var f=Lc.formatters[c];if(typeof f==\"function\"){var h=a[s];u=f.call(r,h),a.splice(s,1),s--}return u}),Lc.formatArgs.call(r,a);var l=t.log||Lc.log||console.log.bind(console);l.apply(r,a)}}return t.namespace=e,t.enabled=Lc.enabled(e),t.useColors=Lc.useColors(),t.color=pkt(e),typeof Lc.init==\"function\"&&Lc.init(t),t}function gkt(e){Lc.save(e),Lc.names=[],Lc.skips=[];for(var t=(typeof e==\"string\"?e:\"\").split(/[\\s,]+/),r=t.length,n=0;n<r;n++)t[n]&&(e=t[n].replace(/\\*/g,\".*?\"),e[0]===\"-\"?Lc.skips.push(new RegExp(\"^\"+e.substr(1)+\"$\")):Lc.names.push(new RegExp(\"^\"+e+\"$\")))}function mkt(){Lc.enable(\"\")}function ykt(e){var t,r;for(t=0,r=Lc.skips.length;t<r;t++)if(Lc.skips[t].test(e))return!1;for(t=0,r=Lc.names.length;t<r;t++)if(Lc.names[t].test(e))return!0;return!1}function _kt(e){return e instanceof Error?e.stack||e.message:e}});var j4e=ye((up,H4e)=>{up=H4e.exports=V4e();up.log=wkt;up.formatArgs=bkt;up.save=Tkt;up.load=G4e;up.useColors=xkt;up.storage=typeof chrome!=\"undefined\"&&typeof chrome.storage!=\"undefined\"?chrome.storage.local:Akt();up.colors=[\"lightseagreen\",\"forestgreen\",\"goldenrod\",\"dodgerblue\",\"darkorchid\",\"crimson\"];function xkt(){return typeof window!=\"undefined\"&&window.process&&window.process.type===\"renderer\"?!0:typeof document!=\"undefined\"&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||typeof window!=\"undefined\"&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\\/(\\d+)/)&&parseInt(RegExp.$1,10)>=31||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\\/(\\d+)/)}up.formatters.j=function(e){try{return JSON.stringify(e)}catch(t){return\"[UnexpectedJSONParseError]: \"+t.message}};function bkt(e){var t=this.useColors;if(e[0]=(t?\"%c\":\"\")+this.namespace+(t?\" %c\":\" \")+e[0]+(t?\"%c \":\" \")+\"+\"+up.humanize(this.diff),!!t){var r=\"color: \"+this.color;e.splice(1,0,r,\"color: inherit\");var n=0,i=0;e[0].replace(/%[a-zA-Z%]/g,function(a){a!==\"%%\"&&(n++,a===\"%c\"&&(i=n))}),e.splice(i,0,r)}}function wkt(){return typeof console==\"object\"&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function Tkt(e){try{e==null?up.storage.removeItem(\"debug\"):up.storage.debug=e}catch(t){}}function G4e(){var e;try{e=up.storage.debug}catch(t){}return!e&&typeof process!=\"undefined\"&&\"env\"in process&&(e=process.env.DEBUG),e}up.enable(G4e());function Akt(){try{return window.localStorage}catch(e){}}});var Q4e=ye((avr,$4e)=>{var kA=_E(),$_=j4e()(\"stream-parser\");$4e.exports=Mkt;var X4e=-1,hD=0,Skt=1,Z4e=2;function Mkt(e){var t=e&&typeof e._transform==\"function\",r=e&&typeof e._write==\"function\";if(!t&&!r)throw new Error(\"must pass a Writable or Transform stream in\");$_(\"extending Parser into stream\"),e._bytes=Ekt,e._skipBytes=kkt,t&&(e._passthrough=Ckt),t?e._transform=Pkt:e._write=Lkt}function zE(e){$_(\"initializing parser stream\"),e._parserBytesLeft=0,e._parserBuffers=[],e._parserBuffered=0,e._parserState=X4e,e._parserCallback=null,typeof e.push==\"function\"&&(e._parserOutput=e.push.bind(e)),e._parserInit=!0}function Ekt(e,t){kA(!this._parserCallback,'there is already a \"callback\" set!'),kA(isFinite(e)&&e>0,'can only buffer a finite number of bytes > 0, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"buffering %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=hD}function kkt(e,t){kA(!this._parserCallback,'there is already a \"callback\" set!'),kA(e>0,'can only skip > 0 bytes, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"skipping %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=Skt}function Ckt(e,t){kA(!this._parserCallback,'There is already a \"callback\" set!'),kA(e>0,'can only pass through > 0 bytes, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"passing through %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=Z4e}function Lkt(e,t,r){this._parserInit||zE(this),$_(\"write(%o bytes)\",e.length),typeof t==\"function\"&&(r=t),K4e(this,e,null,r)}function Pkt(e,t,r){this._parserInit||zE(this),$_(\"transform(%o bytes)\",e.length),typeof t!=\"function\"&&(t=this._parserOutput),K4e(this,e,t,r)}function Y4e(e,t,r,n){return e._parserBytesLeft<=0?n(new Error(\"got data but not currently parsing anything\")):t.length<=e._parserBytesLeft?function(){return W4e(e,t,r,n)}:function(){var i=t.slice(0,e._parserBytesLeft);return W4e(e,i,r,function(a){if(a)return n(a);if(t.length>i.length)return function(){return Y4e(e,t.slice(i.length),r,n)}})}}function W4e(e,t,r,n){if(e._parserBytesLeft-=t.length,$_(\"%o bytes left for stream piece\",e._parserBytesLeft),e._parserState===hD?(e._parserBuffers.push(t),e._parserBuffered+=t.length):e._parserState===Z4e&&r(t),e._parserBytesLeft===0){var i=e._parserCallback;if(i&&e._parserState===hD&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==hD&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=X4e,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(J4e(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var K4e=J4e(Y4e);function J4e(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var rc=ye($y=>{\"use strict\";var eEe=WSe().Transform,Ikt=Q4e();function qE(){eEe.call(this,{readableObjectMode:!0})}qE.prototype=Object.create(eEe.prototype);qE.prototype.constructor=qE;Ikt(qE.prototype);$y.ParserStream=qE;$y.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};$y.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else for(;n<e.length;n++)r.push(e.charCodeAt(n)&255);return r};$y.readUInt16LE=function(e,t){return e[t]|e[t+1]<<8};$y.readUInt16BE=function(e,t){return e[t+1]|e[t]<<8};$y.readUInt32LE=function(e,t){return e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]*16777216};$y.readUInt32BE=function(e,t){return e[t+3]|e[t+2]<<8|e[t+1]<<16|e[t]*16777216};function dD(e,t,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=new Error().stack||\"\",this.name=this.constructor.name,this.message=e,t&&(this.code=t),r&&(this.statusCode=r)}dD.prototype=Object.create(Error.prototype);dD.prototype.constructor=dD;$y.ProbeError=dD});var tEe=ye((svr,vD)=>{\"use strict\";var CA=rc().readUInt16BE,mW=rc().readUInt32BE;function OE(e,t){if(e.length<4+t)return null;var r=mW(e,t);return e.length<r+t||r<8?null:{boxtype:String.fromCharCode.apply(null,e.slice(t+4,t+8)),data:e.slice(t+8,t+r),end:t+r}}vD.exports.unbox=OE;function Rkt(e,t){for(var r=0;;){var n=OE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:mW(n.data,4),height:mW(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function gW(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function Dkt(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=CA(e,6),o=8,s=0;s<a;s++){var l=CA(e,o);o+=2;var u=CA(e,o);o+=2;var c=gW(e,o,i);o+=i;var f=CA(e,o);if(o+=2,u===0&&f===1){var h=gW(e,o,r),d=gW(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function Fkt(e,t){for(var r=CA(e,4),n=6,i=0;i<r;i++){var a=OE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=CA(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function zkt(e,t){for(var r=0;;){var n=OE(e,r);if(!n)break;n.boxtype===\"ipco\"&&Rkt(n.data,t),r=n.end}}function qkt(e,t){for(var r=4;;){var n=OE(e,r);if(!n)break;n.boxtype===\"iprp\"&&zkt(n.data,t),n.boxtype===\"iloc\"&&Dkt(n.data,t),n.boxtype===\"iinf\"&&Fkt(n.data,t),r=n.end}}function Okt(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}vD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(qkt(e,t),!!t.sizes.length){var r=Okt(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};vD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var gD=ye((lvr,yW)=>{\"use strict\";function pD(e,t){var r=new Error(e);return r.code=t,r}function Bkt(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function Qy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw pD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}Qy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};Qy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw pD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};Qy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw pD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};Qy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};Qy.prototype.exif_format_length=function(e){switch(e){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}};Qy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};Qy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw pD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var m=this.exif_format_read(o,d);if(m===null){h=null;break}h.push(m)}Array.isArray(h)&&o===2&&(h=Bkt(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};yW.exports.ExifParser=Qy;yW.exports.get_orientation=function(e){var t=0;try{return new Qy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var iEe=ye((uvr,rEe)=>{\"use strict\";var Nkt=rc().str2arr,Ukt=rc().sliceEq,Vkt=rc().readUInt32BE,mD=tEe(),Gkt=gD(),Hkt=Nkt(\"ftyp\");rEe.exports=function(e){if(Ukt(e,4,Hkt)){var t=mD.unbox(e,0);if(t){var r=mD.getMimeType(t.data);if(r){for(var n,i=t.end;;){var a=mD.unbox(e,i);if(!a)break;if(i=a.end,a.boxtype===\"mdat\")return;if(a.boxtype===\"meta\"){n=a.data;break}}if(n){var o=mD.readSizeFromMeta(n);if(o){var s={width:o.width,height:o.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(o.variants.length>1&&(s.variants=o.variants),o.orientation&&(s.orientation=o.orientation),o.exif_location&&o.exif_location.offset+o.exif_location.length<=e.length){var l=Vkt(e,o.exif_location.offset),u=e.slice(o.exif_location.offset+l+4,o.exif_location.offset+o.exif_location.length),c=Gkt.get_orientation(u);c>0&&(s.orientation=c)}return s}}}}}}});var oEe=ye((cvr,aEe)=>{\"use strict\";var jkt=rc().str2arr,Wkt=rc().sliceEq,nEe=rc().readUInt16LE,Xkt=jkt(\"BM\");aEe.exports=function(e){if(!(e.length<26)&&Wkt(e,0,Xkt))return{width:nEe(e,18),height:nEe(e,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}});var fEe=ye((fvr,cEe)=>{\"use strict\";var uEe=rc().str2arr,sEe=rc().sliceEq,lEe=rc().readUInt16LE,Zkt=uEe(\"GIF87a\"),Ykt=uEe(\"GIF89a\");cEe.exports=function(e){if(!(e.length<10)&&!(!sEe(e,0,Zkt)&&!sEe(e,0,Ykt)))return{width:lEe(e,6),height:lEe(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var vEe=ye((hvr,dEe)=>{\"use strict\";var _W=rc().readUInt16LE,Kkt=0,Jkt=1,hEe=16;dEe.exports=function(e){var t=_W(e,0),r=_W(e,2),n=_W(e,4);if(!(t!==Kkt||r!==Jkt||!n)){for(var i=[],a={width:0,height:0},o=0;o<n;o++){var s=e[6+hEe*o]||256,l=e[6+hEe*o+1]||256,u={width:s,height:l};i.push(u),(s>a.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var gEe=ye((dvr,pEe)=>{\"use strict\";var xW=rc().readUInt16BE,$kt=rc().str2arr,Qkt=rc().sliceEq,eCt=gD(),tCt=$kt(\"Exif\\0\\0\");pEe.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var 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i.width?LA(a)?{width:a,height:a/f,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(i.width),hUnits:Zm(i.width)}:void 0:i.height?LA(o)?{width:o*f,height:o,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(i.height),hUnits:Zm(i.height)}:void 0:{width:u,height:c,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(l.width),hUnits:Zm(l.height)}}}}}});var IEe=ye((mvr,PEe)=>{\"use strict\";var LEe=rc().str2arr,kEe=rc().sliceEq,pCt=rc().readUInt16LE,gCt=rc().readUInt16BE,mCt=rc().readUInt32LE,yCt=rc().readUInt32BE,_Ct=LEe(\"II*\\0\"),xCt=LEe(\"MM\\0*\");function yD(e,t,r){return r?gCt(e,t):pCt(e,t)}function bW(e,t,r){return r?yCt(e,t):mCt(e,t)}function CEe(e,t,r){var n=yD(e,t+2,r),i=bW(e,t+4,r);return i!==1||n!==3&&n!==4?null:n===3?yD(e,t+8,r):bW(e,t+8,r)}PEe.exports=function(e){if(!(e.length<8)&&!(!kEe(e,0,_Ct)&&!kEe(e,0,xCt))){var t=e[0]===77,r=bW(e,4,t)-8;if(!(r<0)){var n=r+8;if(!(e.length-n<2)){var i=yD(e,n+0,t)*12;if(!(i<=0)&&(n+=2,!(e.length-n<i))){var 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t=12,r=null,n=0,i=wW(e,4)+8;if(!(i>e.length)){for(;t+8<i;){if(e[t]===0){t++;continue}var a=String.fromCharCode.apply(null,e.slice(t,t+4)),o=wW(e,t+4);a===\"VP8 \"&&o>=10?r=r||ACt(e,t+8):a===\"VP8L\"&&o>=9?r=r||SCt(e,t+8):a===\"VP8X\"&&o>=10?r=r||MCt(e,t+8):a===\"EXIF\"&&(n=bCt.get_orientation(e.slice(t+8,t+8+o)),t=1/0),t+=8+o}if(r)return n>0&&(r.orientation=n),r}}}});var BEe=ye((_vr,OEe)=>{\"use strict\";OEe.exports={avif:iEe(),bmp:oEe(),gif:fEe(),ico:vEe(),jpeg:gEe(),png:bEe(),psd:AEe(),svg:EEe(),tiff:IEe(),webp:qEe()}});var NEe=ye((xvr,AW)=>{\"use strict\";var TW=BEe();function ECt(e){for(var t=Object.keys(TW),r=0;r<t.length;r++){var n=TW[t[r]](e);if(n)return n}return null}AW.exports=function(t){return ECt(t)};AW.exports.parsers=TW});var VEe=ye(UEe=>{\"use strict\";var kCt=NEe(),CCt=Oy().IMAGE_URL_PREFIX,LCt=w2().Buffer;UEe.getImageSize=function(e){var t=e.replace(CCt,\"\"),r=new LCt(t,\"base64\");return kCt(r)}});var jEe=ye((wvr,HEe)=>{\"use strict\";var 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bD=Vl(),jCt=Cc().attributes,WCt=ec(),XCt=Ih(),{hovertemplateAttrs:ZCt,texttemplateAttrs:YCt,templatefallbackAttrs:ske}=Pl(),Q_=Ao().extendFlat,KCt=Pd().pattern,wD=WCt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});lke.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:XCt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:KCt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:Q_({},bD.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:ZCt({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),hovertemplatefallback:ske(),texttemplate:YCt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplatefallback:ske({editType:\"plot\"}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:Q_({},wD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:Q_({},wD,{}),outsidetextfont:Q_({},wD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:Q_({},bD.showlegend,{arrayOk:!0}),legend:Q_({},bD.legend,{arrayOk:!0}),legendrank:Q_({},bD.legendrank,{arrayOk:!0}),title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:Q_({},wD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:jCt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var O2=ye((Lvr,fke)=>{\"use strict\";var JCt=Eo(),BE=Pr(),$Ct=q2(),QCt=Cc().defaults,e6t=i0().handleText,t6t=Pr().coercePattern;function uke(e,t){var r=BE.isArrayOrTypedArray(e),n=BE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o<i;o++){var s=t[o];if(JCt(s)&&s>0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function cke(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");t6t(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function r6t(e,t,r,n){function i(k,M){return BE.coerce(e,t,$Ct,k,M)}var a=i(\"labels\"),o=i(\"values\"),s=uke(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,cke(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\");i(\"texttemplatefallback\");var f;if(c||(f=i(\"textinfo\",BE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\"),c||f&&f!==\"none\"){var h=i(\"textposition\");e6t(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");QCt(t,n,i);var m=i(\"hole\"),b=i(\"title.text\");if(b){var p=i(\"title.position\",m?\"middle center\":\"top center\");!m&&p===\"middle center\"&&(t.title.position=\"top center\"),BE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}fke.exports={handleLabelsAndValues:uke,handleMarkerDefaults:cke,supplyDefaults:r6t}});var TD=ye((Pvr,hke)=>{\"use strict\";hke.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var vke=ye((Ivr,dke)=>{\"use 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x.v-L.v}),r[0]&&(r[0].vTotal=v),r}function pke(e){return function(r,n){return!r||(r=SW(r),!r.isValid())?!1:(r=o6t.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function u6t(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=gke(a,s6t));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function gke(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(SW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(SW(e[r]).darken(20).toHexString());t[n]=i}return i}mke.exports={calc:l6t,crossTraceCalc:u6t,makePullColorFn:pke,generateExtendedColors:gke}});var _ke=ye((Dvr,yke)=>{\"use strict\";var c6t=ip().appendArrayMultiPointValues;yke.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),c6t(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var ED=ye((Fvr,Nke)=>{\"use strict\";var Fp=Fa(),f6t=Mc(),AD=ef(),Ske=ka(),e1=So(),iv=Pr(),h6t=iv.strScale,xke=iv.strTranslate,MW=Zl(),Mke=bv(),d6t=Mke.recordMinTextSize,v6t=Mke.clearMinTextSize,Eke=S_().TEXTPAD,ns=m_(),SD=_ke(),bke=Pr().isValidTextValue;function p6t(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;v6t(\"pie\",n),Lke(t,e),qke(t,i);var a=iv.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=Fp.select(this),l=o[0],u=l.trace;A6t(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=Fp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(T,L){if(T.hidden){Fp.select(this).selectAll(\"path,g\").remove();return}T.pointNumber=T.i,T.curveNumber=u.index,f[T.pxmid[1]<0?0:1][T.pxmid[0]<0?0:1].push(T);var x=l.cx,C=l.cy,S=Fp.select(this),g=S.selectAll(\"path.surface\").data([T]);if(g.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),S.call(kke,e,o),u.pull){var P=+ns.castOption(u.pull,T.pts)||0;P>0&&(x+=P*T.pxmid[0],C+=P*T.pxmid[1])}T.cxFinal=x,T.cyFinal=C;function E(N,H,re,ae){var _e=ae*(H[0]-N[0]),Ee=ae*(H[1]-N[1]);return\"a\"+ae*l.r+\",\"+ae*l.r+\" 0 \"+T.largeArc+(re?\" 1 \":\" 0 \")+_e+\",\"+Ee}var z=u.hole;if(T.v===l.vTotal){var q=\"M\"+(x+T.px0[0])+\",\"+(C+T.px0[1])+E(T.px0,T.pxmid,!0,1)+E(T.pxmid,T.px0,!0,1)+\"Z\";z?g.attr(\"d\",\"M\"+(x+z*T.px0[0])+\",\"+(C+z*T.px0[1])+E(T.px0,T.pxmid,!1,z)+E(T.pxmid,T.px0,!1,z)+\"Z\"+q):g.attr(\"d\",q)}else{var V=E(T.px0,T.px1,!0,1);if(z){var G=1-z;g.attr(\"d\",\"M\"+(x+z*T.px1[0])+\",\"+(C+z*T.px1[1])+E(T.px1,T.px0,!1,z)+\"l\"+G*T.px0[0]+\",\"+G*T.px0[1]+V+\"Z\")}else g.attr(\"d\",\"M\"+x+\",\"+C+\"l\"+T.px0[0]+\",\"+T.px0[1]+V+\"Z\")}Oke(e,T,l);var Z=ns.castOption(u.textposition,T.pts),j=S.selectAll(\"g.slicetext\").data(T.text&&Z!==\"none\"?[0]:[]);j.enter().append(\"g\").classed(\"slicetext\",!0),j.exit().remove(),j.each(function(){var N=iv.ensureSingle(Fp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),H=iv.ensureUniformFontSize(e,Z===\"outside\"?m6t(u,T,n.font):Cke(u,T,n.font));N.text(T.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(e1.font,H).call(MW.convertToTspans,e);var re=e1.bBox(N.node()),ae;if(Z===\"outside\")ae=Ake(re,T);else if(ae=Pke(re,T,l),Z===\"auto\"&&ae.scale<1){var _e=iv.ensureUniformFontSize(e,u.outsidetextfont);N.call(e1.font,_e),re=e1.bBox(N.node()),ae=Ake(re,T)}var Ee=ae.textPosAngle,Ce=Ee===void 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v=e1.bBox(s.node()),m=u.domain,b=i.w*(m.x[1]-m.x[0]),p=i.h*(m.y[1]-m.y[0]),k=(.5*b-l.r)/i.w,M=(.5*p-l.r)/i.h;f6t.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:m.x[0]-k,xr:m.x[1]+k,yb:m.y[0]-M,yt:m.y[1]+M,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=Fp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function g6t(e,t){e.each(function(r){var n=Fp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,iv.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;iv.ensureSingle(n,\"path\",\"textline\").call(Ske.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function kke(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=AD.castHoverinfo({hoverinfo:[ns.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),m=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=ns.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var p=l.text;iv.isValidTextValue(p)&&b.push(p)}l.value=l.v,l.valueLabel=ns.formatPieValue(l.v,m),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=ns.formatPiePercent(l.percent,m),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var k=c.hoverlabel,M=k.font,T=[];AD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:ns.castOption(k.bgcolor,l.pts)||l.color,borderColor:ns.castOption(k.bordercolor,l.pts),fontFamily:ns.castOption(M.family,l.pts),fontSize:ns.castOption(M.size,l.pts),fontColor:ns.castOption(M.color,l.pts),nameLength:ns.castOption(k.namelength,l.pts),textAlign:ns.castOption(k.align,l.pts),hovertemplate:ns.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[SD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:T}),l.bbox=T[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[SD(l,c)],event:Fp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=Fp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=Fp.event,t.emit(\"plotly_unhover\",{points:[SD(f,c)],event:Fp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(AD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[SD(l,c)],AD.click(t,Fp.event))})}function m6t(e,t,r){var n=ns.castOption(e.outsidetextfont.color,t.pts)||ns.castOption(e.textfont.color,t.pts)||r.color,i=ns.castOption(e.outsidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.outsidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.outsidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.outsidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.outsidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.outsidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.outsidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.outsidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function Cke(e,t,r){var n=ns.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=ns.castOption(e._input.textfont.color,t.pts));var i=ns.castOption(e.insidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.insidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.insidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.insidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.insidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.insidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.insidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.insidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n||Ske.contrast(t.color),family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function Lke(e,t){for(var r,n,i=0;i<e.length;i++)if(r=e[i][0],n=r.trace,n.title.text){var a=n.title.text;n._meta&&(a=iv.templateString(a,n._meta));var o=e1.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(e1.font,n.title.font).call(MW.convertToTspans,t),s=e1.bBox(o.node(),!0);r.titleBox={width:s.width,height:s.height},o.remove()}}function Pke(e,t,r){var n=r.r||t.rpx1,i=t.rInscribed,a=t.startangle===t.stopangle;if(a)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var o=t.ring,s=o===1&&Math.abs(t.startangle-t.stopangle)===Math.PI*2,l=t.halfangle,u=t.midangle,c=r.trace.insidetextorientation,f=c===\"horizontal\",h=c===\"tangential\",d=c===\"radial\",v=c===\"auto\",m=[],b;if(!v){var p=function(S,g){if(y6t(t,S)){var 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s=o.split(\"+\"),l=function(T){return s.indexOf(T)!==-1},u=l(\"label\"),c=l(\"text\"),f=l(\"value\"),h=l(\"percent\"),d=n.separators,v;if(v=u?[t.label]:[],c){var m=ns.getFirstFilled(i.text,t.pts);bke(m)&&v.push(m)}f&&v.push(ns.formatPieValue(t.v,d)),h&&v.push(ns.formatPiePercent(t.v/r.vTotal,d)),t.text=v.join(\"<br>\")}function b(T){return{label:T.label,value:T.v,valueLabel:ns.formatPieValue(T.v,n.separators),percent:T.v/r.vTotal,percentLabel:ns.formatPiePercent(T.v/r.vTotal,n.separators),color:T.color,text:T.text,customdata:iv.castOption(i,T.i,\"customdata\")}}if(a){var p=iv.castOption(i,t.i,\"texttemplate\");if(!p)t.text=\"\";else{var k=b(t),M=ns.getFirstFilled(i.text,t.pts);(bke(M)||M===\"\")&&(k.text=M),t.text=iv.texttemplateString({data:[k,i._meta],fallback:i.texttemplatefallback,labels:k,locale:e._fullLayout._d3locale,template:p})}}}function Bke(e,t){var r=e.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(t.left+t.right)/2,o=(t.top+t.bottom)/2;e.textX=a*n-o*i,e.textY=a*i+o*n,e.noCenter=!0}Nke.exports={plot:p6t,formatSliceLabel:Oke,transformInsideText:Pke,determineInsideTextFont:Cke,positionTitleOutside:Fke,prerenderTitles:Lke,layoutAreas:qke,attachFxHandlers:kke,computeTransform:Bke}});var Gke=ye((zvr,Vke)=>{\"use strict\";var Uke=Fa(),S6t=J3(),M6t=bv().resizeText;Vke.exports=function(t){var r=t._fullLayout._pielayer.selectAll(\".trace\");M6t(t,r,\"pie\"),r.each(function(n){var i=n[0],a=i.trace,o=Uke.select(this);o.style({opacity:a.opacity}),o.selectAll(\"path.surface\").each(function(s){Uke.select(this).call(S6t,s,a,t)})})}});var jke=ye(IA=>{\"use strict\";var Hke=Mc();IA.name=\"pie\";IA.plot=function(e,t,r,n){Hke.plotBasePlot(IA.name,e,t,r,n)};IA.clean=function(e,t,r,n){Hke.cleanBasePlot(IA.name,e,t,r,n)}});var Xke=ye((Ovr,Wke)=>{\"use 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E6t=Vl(),{hovertemplateAttrs:k6t,texttemplateAttrs:C6t,templatefallbackAttrs:Qke}=Pl(),L6t=Tu(),P6t=Cc().attributes,t1=q2(),eCe=kW(),NE=Ao().extendFlat,I6t=Pd().pattern;tCe.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:NE({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:NE({},t1.marker.line.color,{dflt:null}),width:NE({},t1.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:I6t,editType:\"calc\"},L6t(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:t1.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],extras:[\"none\"],editType:\"plot\"},texttemplate:C6t({editType:\"plot\"},{keys:eCe.eventDataKeys.concat([\"label\",\"value\"])}),texttemplatefallback:Qke({editType:\"plot\"}),hovertext:t1.hovertext,hoverinfo:NE({},E6t.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"name\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],dflt:\"label+text+value+name\"}),hovertemplate:k6t({},{keys:eCe.eventDataKeys}),hovertemplatefallback:Qke(),textfont:t1.textfont,insidetextorientation:t1.insidetextorientation,insidetextfont:t1.insidetextfont,outsidetextfont:NE({},t1.outsidetextfont,{}),rotation:{valType:\"angle\",dflt:0,editType:\"plot\"},sort:t1.sort,root:{color:{valType:\"color\",editType:\"calc\",dflt:\"rgba(0,0,0,0)\"},editType:\"calc\"},domain:P6t({name:\"sunburst\",trace:!0,editType:\"calc\"})}});var CW=ye((Gvr,rCe)=>{\"use 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ie=rk.select(this),Se=Av.ensureSingle(ie,\"path\",\"surface\",function(Pe){Pe.style(\"pointer-events\",i?\"none\":\"all\")});ge.rpx0=q(ge.y0),ge.rpx1=q(ge.y1),ge.xmid=(ge.x0+ge.x1)/2,ge.pxmid=V(ge.rpx1,ge.xmid),ge.midangle=-(ge.xmid-Math.PI/2),ge.startangle=-(ge.x0-Math.PI/2),ge.stopangle=-(ge.x1-Math.PI/2),ge.halfangle=.5*Math.min(Av.angleDelta(ge.x0,ge.x1)||Math.PI,Math.PI),ge.ring=1-ge.rpx0/ge.rpx1,ge.rInscribed=OLt(ge,c),o?Se.transition().attrTween(\"d\",function(Pe){var ce=_e(Pe);return function(He){return G(ce(He))}}):Se.attr(\"d\",G),ie.call(zLt,h,e,t,{eventDataKeys:QW.eventDataKeys,transitionTime:QW.CLICK_TRANSITION_TIME,transitionEasing:QW.CLICK_TRANSITION_EASING}).call(Il.setSliceCursor,e,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:e._transitioning}),Se.call(DLt,ge,c,e);var ke=Av.ensureSingle(ie,\"g\",\"slicetext\"),be=Av.ensureSingle(ke,\"text\",\"\",function(Pe){Pe.attr(\"data-notex\",1)}),Be=Av.ensureUniformFontSize(e,Il.determineTextFont(c,ge,a.font));be.text(YD.formatSliceLabel(ge,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(P6e.font,Be).call(CLt.convertToTspans,e);var Le=P6e.bBox(be.node());ge.transform=RLt(Le,ge,u),ge.transform.targetX=Z(ge),ge.transform.targetY=j(ge);var me=function(Pe,ce){var He=Pe.transform;return ILt(He,ce),He.fontSize=Be.size,I6e(c.type,He,a),Av.getTextTransform(He)};o?be.transition().attrTween(\"transform\",function(Pe){var ce=Ee(Pe);return function(He){return me(ce(He),Le)}}):be.attr(\"transform\",me(ge,Le))});function ae(ge){var ie=Il.getPtId(ge),Se=x[ie],ke=x[Il.getPtId(h)],be;if(ke){var Be=(ge.x1>ke.x1?2*Math.PI:0)+E;be=ge.rpx1<ke.rpx1?{x0:ge.x0,x1:ge.x1,rpx0:0,rpx1:0}:{x0:Be,x1:Be,rpx0:ge.rpx0,rpx1:ge.rpx1}}else{var Le,me=Il.getPtId(ge.parent);l.each(function(mt){if(Il.getPtId(mt)===me)return Le=mt});var Pe=Le.children,ce;Pe.forEach(function(mt,Ht){if(Il.getPtId(mt)===ie)return ce=Ht});var He=Pe.length,lt=Jg(Le.x0,Le.x1);be={rpx0:k,rpx1:k,x0:lt(ce/He),x1:lt((ce+1)/He)}}return Jg(Se,be)}function _e(ge){var ie=x[Il.getPtId(ge)],Se,ke={x0:ge.x0,x1:ge.x1,rpx0:ge.rpx0,rpx1:ge.rpx1};if(ie)Se=ie;else if(L)if(ge.parent)if(N){var be=(ge.x1>N?2*Math.PI:0)+E;Se={x0:be,x1:be}}else Se={rpx0:k,rpx1:k},Av.extendFlat(Se,Ce(ge));else Se={rpx0:0,rpx1:0};else Se={x0:E,x1:E};return Jg(Se,ke)}function Ee(ge){var ie=x[Il.getPtId(ge)],Se,ke=ge.transform;if(ie)Se=ie;else if(Se={rpx1:ge.rpx1,transform:{textPosAngle:ke.textPosAngle,scale:0,rotate:ke.rotate,rCenter:ke.rCenter,x:ke.x,y:ke.y}},L)if(ge.parent)if(N){var be=ge.x1>N?2*Math.PI:0;Se.x0=Se.x1=be}else Av.extendFlat(Se,Ce(ge));else Se.x0=Se.x1=E;else Se.x0=Se.x1=E;var 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C={};u.label&&(C.label=u.label),u.hasOwnProperty(\"v\")&&(C.value=u.v,C.valueLabel=Il.formatValue(u.v,s)),C.currentPath=Il.getPath(e.data),f||(C.percentParent=d/Il.getValue(h),C.percentParentLabel=Il.formatPercent(C.percentParent,s),C.parent=Il.getPtLabel(h)),C.percentEntry=d/Il.getValue(t),C.percentEntryLabel=Il.formatPercent(C.percentEntry,s),C.entry=Il.getPtLabel(t),C.percentRoot=d/Il.getValue(c),C.percentRootLabel=Il.formatPercent(C.percentRoot,s),C.root=Il.getPtLabel(c),u.hasOwnProperty(\"color\")&&(C.color=u.color);var S=Av.castOption(r,u.i,\"text\");return(Av.isValidTextValue(S)||S===\"\")&&(C.text=S),C.customdata=Av.castOption(r,u.i,\"customdata\"),Av.texttemplateString({data:[C,r._meta],fallback:r.texttemplatefallback,labels:C,locale:i._d3locale,template:x})};function OLt(e){return e.rpx0===0&&Av.isFullCircle([e.x0,e.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(e.halfangle)),e.ring/2))}function D6e(e){return BLt(e.rpx1,e.transform.textPosAngle)}function 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),a(\"texttemplatefallback\"),r.texttemplate||a(\"textinfo\",Z6e.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var f=a(\"pathbar.visible\"),h=\"auto\";ZLt(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;KLt(t,r,i,a);var v=r._hasColorscale=JLt(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?$Lt(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var m=r.textfont.size*2;a(\"marker.pad.t\",d?m/4:m),a(\"marker.pad.l\",m/4),a(\"marker.pad.r\",m/4),a(\"marker.pad.b\",d?m:m/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:WLt.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*YLt),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),XLt(r,i,a),r._length=null}});var Q6e=ye((X0r,$6e)=>{\"use strict\";var QLt=Pr(),ePt=tX();$6e.exports=function(t,r){function n(i,a){return QLt.coerce(t,r,ePt,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var iX=ye(rX=>{\"use strict\";var eLe=HE();rX.calc=function(e,t){return eLe.calc(e,t)};rX.crossTraceCalc=function(e){return eLe._runCrossTraceCalc(\"treemap\",e)}});var nX=ye((Y0r,tLe)=>{\"use strict\";tLe.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var a=t.children;if(a)for(var o=0;o<a.length;o++)e(a[o],r,n)}});var aX=ye((K0r,rLe)=>{\"use strict\";var HA=VE(),tPt=nX();rLe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.packing===\"dice-slice\",s=n.pad[a?\"bottom\":\"top\"],l=n.pad[i?\"right\":\"left\"],u=n.pad[i?\"left\":\"right\"],c=n.pad[a?\"top\":\"bottom\"],f;o&&(f=l,l=s,s=f,f=u,u=c,c=f);var h=HA.treemap().tile(rPt(n.packing,n.squarifyratio)).paddingInner(n.pad.inner).paddingLeft(l).paddingRight(u).paddingTop(s).paddingBottom(c).size(o?[r[1],r[0]]:r)(t);return(o||i||a)&&tPt(h,r,{swapXY:o,flipX:i,flipY:a}),h};function rPt(e,t){switch(e){case\"squarify\":return HA.treemapSquarify.ratio(t);case\"binary\":return HA.treemapBinary;case\"dice\":return HA.treemapDice;case\"slice\":return HA.treemapSlice;default:return HA.treemapSliceDice}}});var $D=ye((J0r,oLe)=>{\"use strict\";var iLe=Fa(),jA=ka(),nLe=Pr(),oX=n1(),iPt=bv().resizeText,nPt=ZD();function aPt(e){var 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pX=ye((sgr,DLe)=>{\"use strict\";DLe.exports={iciclecolorway:{valType:\"colorlist\",editType:\"calc\"},extendiciclecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var OLe=ye((lgr,qLe)=>{\"use strict\";var FLe=Pr(),PPt=vX(),IPt=ka(),RPt=Cc().defaults,DPt=i0().handleText,FPt=S_().TEXTPAD,zPt=O2().handleMarkerDefaults,zLe=tc(),qPt=zLe.hasColorscale,OPt=zLe.handleDefaults;qLe.exports=function(t,r,n,i){function a(d,v){return FLe.coerce(t,r,PPt,d,v)}var o=a(\"labels\"),s=a(\"parents\");if(!o||!o.length||!s||!s.length){r.visible=!1;return}var l=a(\"values\");l&&l.length?a(\"branchvalues\"):a(\"count\"),a(\"level\"),a(\"maxdepth\"),a(\"tiling.orientation\"),a(\"tiling.flip\"),a(\"tiling.pad\");var u=a(\"text\");a(\"texttemplate\"),a(\"texttemplatefallback\"),r.texttemplate||a(\"textinfo\",FLe.isArrayOrTypedArray(u)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var 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GLe=ye((fgr,VLe)=>{\"use strict\";var UPt=VE(),VPt=nX();VLe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.orientation===\"h\",s=n.maxDepth,l=r[0],u=r[1];s&&(l=(t.height+1)*r[0]/Math.min(t.height+1,s),u=(t.height+1)*r[1]/Math.min(t.height+1,s));var c=UPt.partition().padding(n.pad.inner).size(o?[r[1],l]:[r[0],u])(t);return(o||i||a)&&VPt(c,r,{swapXY:o,flipX:i,flipY:a}),c}});var yX=ye((hgr,ZLe)=>{\"use strict\";var HLe=Fa(),jLe=ka(),WLe=Pr(),GPt=bv().resizeText,HPt=ZD();function jPt(e){var t=e._fullLayout._iciclelayer.selectAll(\".trace\");GPt(e,t,\"icicle\"),t.each(function(r){var n=HLe.select(this),i=r[0],a=i.trace;n.style(\"opacity\",a.opacity),n.selectAll(\"path.surface\").each(function(o){HLe.select(this).call(XLe,o,a,e)})})}function XLe(e,t,r,n){var 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je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,4,4294967295,0),this[Ue]=je>>>24,this[Ue+1]=je>>>16,this[Ue+2]=je>>>8,this[Ue+3]=je&255,Ue+4},m.prototype.writeIntLE=function(je,Ue,Ae,rt){if(je=+je,Ue=Ue>>>0,!rt){var St=Math.pow(2,8*Ae-1);Be(this,je,Ue,Ae,St-1,-St)}var Tt=0,dt=1,Et=0;for(this[Ue]=je&255;++Tt<Ae&&(dt*=256);)je<0&&Et===0&&this[Ue+Tt-1]!==0&&(Et=1),this[Ue+Tt]=(je/dt>>0)-Et&255;return Ue+Ae},m.prototype.writeIntBE=function(je,Ue,Ae,rt){if(je=+je,Ue=Ue>>>0,!rt){var St=Math.pow(2,8*Ae-1);Be(this,je,Ue,Ae,St-1,-St)}var Tt=Ae-1,dt=1,Et=0;for(this[Ue+Tt]=je&255;--Tt>=0&&(dt*=256);)je<0&&Et===0&&this[Ue+Tt+1]!==0&&(Et=1),this[Ue+Tt]=(je/dt>>0)-Et&255;return Ue+Ae},m.prototype.writeInt8=function(je,Ue,Ae){return je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,1,127,-128),je<0&&(je=255+je+1),this[Ue]=je&255,Ue+1},m.prototype.writeInt16LE=function(je,Ue,Ae){return je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,2,32767,-32768),this[Ue]=je&255,this[Ue+1]=je>>>8,Ue+2},m.prototype.writeInt16BE=function(je,Ue,Ae){return 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H,re;this.length>N.length?(H=this,re=N):(H=N,re=this);for(var ae=0;ae<re.length;ae++)this.words[ae]=H.words[ae]^re.words[ae];if(this!==H)for(;ae<H.length;ae++)this.words[ae]=H.words[ae];return this.length=H.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var H=Math.ceil(N/26)|0,re=N%26;this._expand(H),re>0&&H--;for(var ae=0;ae<H;ae++)this.words[ae]=~this.words[ae]&67108863;return re>0&&(this.words[ae]=~this.words[ae]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,H){u(typeof N==\"number\"&&N>=0);var re=N/26|0,ae=N%26;return 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N.negative!==0&&this.negative===0?(N.negative=0,H=this.sub(N),N.negative^=1,H):N.negative===0&&this.negative!==0?(this.negative=0,H=N.sub(this),this.negative=1,H):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var H=this.iadd(N);return N.negative=1,H._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var ae,_e;re>0?(ae=this,_e=N):(ae=N,_e=this);for(var Ee=0,Ce=0;Ce<_e.length;Ce++)H=(ae.words[Ce]|0)-(_e.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;for(;Ee!==0&&Ce<ae.length;Ce++)H=(ae.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;if(Ee===0&&Ce<ae.length&&ae!==this)for(;Ce<ae.length;Ce++)this.words[Ce]=ae.words[Ce];return this.length=Math.max(this.length,Ce),ae!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function T(j,N,H){H.negative=N.negative^j.negative;var re=j.length+N.length|0;H.length=re,re=re-1|0;var ae=j.words[0]|0,_e=N.words[0]|0,Ee=ae*_e,Ce=Ee&67108863,ge=Ee/67108864|0;H.words[0]=Ce;for(var ie=1;ie<re;ie++){for(var Se=ge>>>26,ke=ge&67108863,be=Math.min(ie,N.length-1),Be=Math.max(0,ie-j.length+1);Be<=be;Be++){var Le=ie-Be|0;ae=j.words[Le]|0,_e=N.words[Be]|0,Ee=ae*_e+ke,Se+=Ee/67108864|0,ke=Ee&67108863}H.words[ie]=ke|0,ge=Se|0}return ge!==0?H.words[ie]=ge|0:H.length--,H.strip()}var L=function(N,H,re){var ae=N.words,_e=H.words,Ee=re.words,Ce=0,ge,ie,Se,ke=ae[0]|0,be=ke&8191,Be=ke>>>13,Le=ae[1]|0,me=Le&8191,Pe=Le>>>13,ce=ae[2]|0,He=ce&8191,lt=ce>>>13,mt=ae[3]|0,Ht=mt&8191,at=mt>>>13,ct=ae[4]|0,ar=ct&8191,Vt=ct>>>13,rr=ae[5]|0,tt=rr&8191,je=rr>>>13,Ue=ae[6]|0,Ae=Ue&8191,rt=Ue>>>13,St=ae[7]|0,Tt=St&8191,dt=St>>>13,Et=ae[8]|0,pt=Et&8191,jt=Et>>>13,or=ae[9]|0,mr=or&8191,Ar=or>>>13,ei=_e[0]|0,qr=ei&8191,jr=ei>>>13,gt=_e[1]|0,Ge=gt&8191,Je=gt>>>13,We=_e[2]|0,et=We&8191,xt=We>>>13,At=_e[3]|0,Kt=At&8191,Qt=At>>>13,Mr=_e[4]|0,Gr=Mr&8191,Ir=Mr>>>13,Yr=_e[5]|0,_i=Yr&8191,Pi=Yr>>>13,ai=_e[6]|0,mi=ai&8191,un=ai>>>13,Fn=_e[7]|0,An=Fn&8191,Hn=Fn>>>13,Qn=_e[8]|0,Vi=Qn&8191,Jn=Qn>>>13,Yn=_e[9]|0,Gt=Yn&8191,wt=Yn>>>13;re.negative=N.negative^H.negative,re.length=19,ge=Math.imul(be,qr),ie=Math.imul(be,jr),ie=ie+Math.imul(Be,qr)|0,Se=Math.imul(Be,jr);var tr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(tr>>>26)|0,tr&=67108863,ge=Math.imul(me,qr),ie=Math.imul(me,jr),ie=ie+Math.imul(Pe,qr)|0,Se=Math.imul(Pe,jr),ge=ge+Math.imul(be,Ge)|0,ie=ie+Math.imul(be,Je)|0,ie=ie+Math.imul(Be,Ge)|0,Se=Se+Math.imul(Be,Je)|0;var ir=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ir>>>26)|0,ir&=67108863,ge=Math.imul(He,qr),ie=Math.imul(He,jr),ie=ie+Math.imul(lt,qr)|0,Se=Math.imul(lt,jr),ge=ge+Math.imul(me,Ge)|0,ie=ie+Math.imul(me,Je)|0,ie=ie+Math.imul(Pe,Ge)|0,Se=Se+Math.imul(Pe,Je)|0,ge=ge+Math.imul(be,et)|0,ie=ie+Math.imul(be,xt)|0,ie=ie+Math.imul(Be,et)|0,Se=Se+Math.imul(Be,xt)|0;var wr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(wr>>>26)|0,wr&=67108863,ge=Math.imul(Ht,qr),ie=Math.imul(Ht,jr),ie=ie+Math.imul(at,qr)|0,Se=Math.imul(at,jr),ge=ge+Math.imul(He,Ge)|0,ie=ie+Math.imul(He,Je)|0,ie=ie+Math.imul(lt,Ge)|0,Se=Se+Math.imul(lt,Je)|0,ge=ge+Math.imul(me,et)|0,ie=ie+Math.imul(me,xt)|0,ie=ie+Math.imul(Pe,et)|0,Se=Se+Math.imul(Pe,xt)|0,ge=ge+Math.imul(be,Kt)|0,ie=ie+Math.imul(be,Qt)|0,ie=ie+Math.imul(Be,Kt)|0,Se=Se+Math.imul(Be,Qt)|0;var Xr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xr>>>26)|0,Xr&=67108863,ge=Math.imul(ar,qr),ie=Math.imul(ar,jr),ie=ie+Math.imul(Vt,qr)|0,Se=Math.imul(Vt,jr),ge=ge+Math.imul(Ht,Ge)|0,ie=ie+Math.imul(Ht,Je)|0,ie=ie+Math.imul(at,Ge)|0,Se=Se+Math.imul(at,Je)|0,ge=ge+Math.imul(He,et)|0,ie=ie+Math.imul(He,xt)|0,ie=ie+Math.imul(lt,et)|0,Se=Se+Math.imul(lt,xt)|0,ge=ge+Math.imul(me,Kt)|0,ie=ie+Math.imul(me,Qt)|0,ie=ie+Math.imul(Pe,Kt)|0,Se=Se+Math.imul(Pe,Qt)|0,ge=ge+Math.imul(be,Gr)|0,ie=ie+Math.imul(be,Ir)|0,ie=ie+Math.imul(Be,Gr)|0,Se=Se+Math.imul(Be,Ir)|0;var ti=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ti>>>26)|0,ti&=67108863,ge=Math.imul(tt,qr),ie=Math.imul(tt,jr),ie=ie+Math.imul(je,qr)|0,Se=Math.imul(je,jr),ge=ge+Math.imul(ar,Ge)|0,ie=ie+Math.imul(ar,Je)|0,ie=ie+Math.imul(Vt,Ge)|0,Se=Se+Math.imul(Vt,Je)|0,ge=ge+Math.imul(Ht,et)|0,ie=ie+Math.imul(Ht,xt)|0,ie=ie+Math.imul(at,et)|0,Se=Se+Math.imul(at,xt)|0,ge=ge+Math.imul(He,Kt)|0,ie=ie+Math.imul(He,Qt)|0,ie=ie+Math.imul(lt,Kt)|0,Se=Se+Math.imul(lt,Qt)|0,ge=ge+Math.imul(me,Gr)|0,ie=ie+Math.imul(me,Ir)|0,ie=ie+Math.imul(Pe,Gr)|0,Se=Se+Math.imul(Pe,Ir)|0,ge=ge+Math.imul(be,_i)|0,ie=ie+Math.imul(be,Pi)|0,ie=ie+Math.imul(Be,_i)|0,Se=Se+Math.imul(Be,Pi)|0;var $r=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+($r>>>26)|0,$r&=67108863,ge=Math.imul(Ae,qr),ie=Math.imul(Ae,jr),ie=ie+Math.imul(rt,qr)|0,Se=Math.imul(rt,jr),ge=ge+Math.imul(tt,Ge)|0,ie=ie+Math.imul(tt,Je)|0,ie=ie+Math.imul(je,Ge)|0,Se=Se+Math.imul(je,Je)|0,ge=ge+Math.imul(ar,et)|0,ie=ie+Math.imul(ar,xt)|0,ie=ie+Math.imul(Vt,et)|0,Se=Se+Math.imul(Vt,xt)|0,ge=ge+Math.imul(Ht,Kt)|0,ie=ie+Math.imul(Ht,Qt)|0,ie=ie+Math.imul(at,Kt)|0,Se=Se+Math.imul(at,Qt)|0,ge=ge+Math.imul(He,Gr)|0,ie=ie+Math.imul(He,Ir)|0,ie=ie+Math.imul(lt,Gr)|0,Se=Se+Math.imul(lt,Ir)|0,ge=ge+Math.imul(me,_i)|0,ie=ie+Math.imul(me,Pi)|0,ie=ie+Math.imul(Pe,_i)|0,Se=Se+Math.imul(Pe,Pi)|0,ge=ge+Math.imul(be,mi)|0,ie=ie+Math.imul(be,un)|0,ie=ie+Math.imul(Be,mi)|0,Se=Se+Math.imul(Be,un)|0;var Ri=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ri>>>26)|0,Ri&=67108863,ge=Math.imul(Tt,qr),ie=Math.imul(Tt,jr),ie=ie+Math.imul(dt,qr)|0,Se=Math.imul(dt,jr),ge=ge+Math.imul(Ae,Ge)|0,ie=ie+Math.imul(Ae,Je)|0,ie=ie+Math.imul(rt,Ge)|0,Se=Se+Math.imul(rt,Je)|0,ge=ge+Math.imul(tt,et)|0,ie=ie+Math.imul(tt,xt)|0,ie=ie+Math.imul(je,et)|0,Se=Se+Math.imul(je,xt)|0,ge=ge+Math.imul(ar,Kt)|0,ie=ie+Math.imul(ar,Qt)|0,ie=ie+Math.imul(Vt,Kt)|0,Se=Se+Math.imul(Vt,Qt)|0,ge=ge+Math.imul(Ht,Gr)|0,ie=ie+Math.imul(Ht,Ir)|0,ie=ie+Math.imul(at,Gr)|0,Se=Se+Math.imul(at,Ir)|0,ge=ge+Math.imul(He,_i)|0,ie=ie+Math.imul(He,Pi)|0,ie=ie+Math.imul(lt,_i)|0,Se=Se+Math.imul(lt,Pi)|0,ge=ge+Math.imul(me,mi)|0,ie=ie+Math.imul(me,un)|0,ie=ie+Math.imul(Pe,mi)|0,Se=Se+Math.imul(Pe,un)|0,ge=ge+Math.imul(be,An)|0,ie=ie+Math.imul(be,Hn)|0,ie=ie+Math.imul(Be,An)|0,Se=Se+Math.imul(Be,Hn)|0;var Hi=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Hi>>>26)|0,Hi&=67108863,ge=Math.imul(pt,qr),ie=Math.imul(pt,jr),ie=ie+Math.imul(jt,qr)|0,Se=Math.imul(jt,jr),ge=ge+Math.imul(Tt,Ge)|0,ie=ie+Math.imul(Tt,Je)|0,ie=ie+Math.imul(dt,Ge)|0,Se=Se+Math.imul(dt,Je)|0,ge=ge+Math.imul(Ae,et)|0,ie=ie+Math.imul(Ae,xt)|0,ie=ie+Math.imul(rt,et)|0,Se=Se+Math.imul(rt,xt)|0,ge=ge+Math.imul(tt,Kt)|0,ie=ie+Math.imul(tt,Qt)|0,ie=ie+Math.imul(je,Kt)|0,Se=Se+Math.imul(je,Qt)|0,ge=ge+Math.imul(ar,Gr)|0,ie=ie+Math.imul(ar,Ir)|0,ie=ie+Math.imul(Vt,Gr)|0,Se=Se+Math.imul(Vt,Ir)|0,ge=ge+Math.imul(Ht,_i)|0,ie=ie+Math.imul(Ht,Pi)|0,ie=ie+Math.imul(at,_i)|0,Se=Se+Math.imul(at,Pi)|0,ge=ge+Math.imul(He,mi)|0,ie=ie+Math.imul(He,un)|0,ie=ie+Math.imul(lt,mi)|0,Se=Se+Math.imul(lt,un)|0,ge=ge+Math.imul(me,An)|0,ie=ie+Math.imul(me,Hn)|0,ie=ie+Math.imul(Pe,An)|0,Se=Se+Math.imul(Pe,Hn)|0,ge=ge+Math.imul(be,Vi)|0,ie=ie+Math.imul(be,Jn)|0,ie=ie+Math.imul(Be,Vi)|0,Se=Se+Math.imul(Be,Jn)|0;var en=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(en>>>26)|0,en&=67108863,ge=Math.imul(mr,qr),ie=Math.imul(mr,jr),ie=ie+Math.imul(Ar,qr)|0,Se=Math.imul(Ar,jr),ge=ge+Math.imul(pt,Ge)|0,ie=ie+Math.imul(pt,Je)|0,ie=ie+Math.imul(jt,Ge)|0,Se=Se+Math.imul(jt,Je)|0,ge=ge+Math.imul(Tt,et)|0,ie=ie+Math.imul(Tt,xt)|0,ie=ie+Math.imul(dt,et)|0,Se=Se+Math.imul(dt,xt)|0,ge=ge+Math.imul(Ae,Kt)|0,ie=ie+Math.imul(Ae,Qt)|0,ie=ie+Math.imul(rt,Kt)|0,Se=Se+Math.imul(rt,Qt)|0,ge=ge+Math.imul(tt,Gr)|0,ie=ie+Math.imul(tt,Ir)|0,ie=ie+Math.imul(je,Gr)|0,Se=Se+Math.imul(je,Ir)|0,ge=ge+Math.imul(ar,_i)|0,ie=ie+Math.imul(ar,Pi)|0,ie=ie+Math.imul(Vt,_i)|0,Se=Se+Math.imul(Vt,Pi)|0,ge=ge+Math.imul(Ht,mi)|0,ie=ie+Math.imul(Ht,un)|0,ie=ie+Math.imul(at,mi)|0,Se=Se+Math.imul(at,un)|0,ge=ge+Math.imul(He,An)|0,ie=ie+Math.imul(He,Hn)|0,ie=ie+Math.imul(lt,An)|0,Se=Se+Math.imul(lt,Hn)|0,ge=ge+Math.imul(me,Vi)|0,ie=ie+Math.imul(me,Jn)|0,ie=ie+Math.imul(Pe,Vi)|0,Se=Se+Math.imul(Pe,Jn)|0,ge=ge+Math.imul(be,Gt)|0,ie=ie+Math.imul(be,wt)|0,ie=ie+Math.imul(Be,Gt)|0,Se=Se+Math.imul(Be,wt)|0;var fn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(fn>>>26)|0,fn&=67108863,ge=Math.imul(mr,Ge),ie=Math.imul(mr,Je),ie=ie+Math.imul(Ar,Ge)|0,Se=Math.imul(Ar,Je),ge=ge+Math.imul(pt,et)|0,ie=ie+Math.imul(pt,xt)|0,ie=ie+Math.imul(jt,et)|0,Se=Se+Math.imul(jt,xt)|0,ge=ge+Math.imul(Tt,Kt)|0,ie=ie+Math.imul(Tt,Qt)|0,ie=ie+Math.imul(dt,Kt)|0,Se=Se+Math.imul(dt,Qt)|0,ge=ge+Math.imul(Ae,Gr)|0,ie=ie+Math.imul(Ae,Ir)|0,ie=ie+Math.imul(rt,Gr)|0,Se=Se+Math.imul(rt,Ir)|0,ge=ge+Math.imul(tt,_i)|0,ie=ie+Math.imul(tt,Pi)|0,ie=ie+Math.imul(je,_i)|0,Se=Se+Math.imul(je,Pi)|0,ge=ge+Math.imul(ar,mi)|0,ie=ie+Math.imul(ar,un)|0,ie=ie+Math.imul(Vt,mi)|0,Se=Se+Math.imul(Vt,un)|0,ge=ge+Math.imul(Ht,An)|0,ie=ie+Math.imul(Ht,Hn)|0,ie=ie+Math.imul(at,An)|0,Se=Se+Math.imul(at,Hn)|0,ge=ge+Math.imul(He,Vi)|0,ie=ie+Math.imul(He,Jn)|0,ie=ie+Math.imul(lt,Vi)|0,Se=Se+Math.imul(lt,Jn)|0,ge=ge+Math.imul(me,Gt)|0,ie=ie+Math.imul(me,wt)|0,ie=ie+Math.imul(Pe,Gt)|0,Se=Se+Math.imul(Pe,wt)|0;var yn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(yn>>>26)|0,yn&=67108863,ge=Math.imul(mr,et),ie=Math.imul(mr,xt),ie=ie+Math.imul(Ar,et)|0,Se=Math.imul(Ar,xt),ge=ge+Math.imul(pt,Kt)|0,ie=ie+Math.imul(pt,Qt)|0,ie=ie+Math.imul(jt,Kt)|0,Se=Se+Math.imul(jt,Qt)|0,ge=ge+Math.imul(Tt,Gr)|0,ie=ie+Math.imul(Tt,Ir)|0,ie=ie+Math.imul(dt,Gr)|0,Se=Se+Math.imul(dt,Ir)|0,ge=ge+Math.imul(Ae,_i)|0,ie=ie+Math.imul(Ae,Pi)|0,ie=ie+Math.imul(rt,_i)|0,Se=Se+Math.imul(rt,Pi)|0,ge=ge+Math.imul(tt,mi)|0,ie=ie+Math.imul(tt,un)|0,ie=ie+Math.imul(je,mi)|0,Se=Se+Math.imul(je,un)|0,ge=ge+Math.imul(ar,An)|0,ie=ie+Math.imul(ar,Hn)|0,ie=ie+Math.imul(Vt,An)|0,Se=Se+Math.imul(Vt,Hn)|0,ge=ge+Math.imul(Ht,Vi)|0,ie=ie+Math.imul(Ht,Jn)|0,ie=ie+Math.imul(at,Vi)|0,Se=Se+Math.imul(at,Jn)|0,ge=ge+Math.imul(He,Gt)|0,ie=ie+Math.imul(He,wt)|0,ie=ie+Math.imul(lt,Gt)|0,Se=Se+Math.imul(lt,wt)|0;var Mn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Mn>>>26)|0,Mn&=67108863,ge=Math.imul(mr,Kt),ie=Math.imul(mr,Qt),ie=ie+Math.imul(Ar,Kt)|0,Se=Math.imul(Ar,Qt),ge=ge+Math.imul(pt,Gr)|0,ie=ie+Math.imul(pt,Ir)|0,ie=ie+Math.imul(jt,Gr)|0,Se=Se+Math.imul(jt,Ir)|0,ge=ge+Math.imul(Tt,_i)|0,ie=ie+Math.imul(Tt,Pi)|0,ie=ie+Math.imul(dt,_i)|0,Se=Se+Math.imul(dt,Pi)|0,ge=ge+Math.imul(Ae,mi)|0,ie=ie+Math.imul(Ae,un)|0,ie=ie+Math.imul(rt,mi)|0,Se=Se+Math.imul(rt,un)|0,ge=ge+Math.imul(tt,An)|0,ie=ie+Math.imul(tt,Hn)|0,ie=ie+Math.imul(je,An)|0,Se=Se+Math.imul(je,Hn)|0,ge=ge+Math.imul(ar,Vi)|0,ie=ie+Math.imul(ar,Jn)|0,ie=ie+Math.imul(Vt,Vi)|0,Se=Se+Math.imul(Vt,Jn)|0,ge=ge+Math.imul(Ht,Gt)|0,ie=ie+Math.imul(Ht,wt)|0,ie=ie+Math.imul(at,Gt)|0,Se=Se+Math.imul(at,wt)|0;var Ba=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ba>>>26)|0,Ba&=67108863,ge=Math.imul(mr,Gr),ie=Math.imul(mr,Ir),ie=ie+Math.imul(Ar,Gr)|0,Se=Math.imul(Ar,Ir),ge=ge+Math.imul(pt,_i)|0,ie=ie+Math.imul(pt,Pi)|0,ie=ie+Math.imul(jt,_i)|0,Se=Se+Math.imul(jt,Pi)|0,ge=ge+Math.imul(Tt,mi)|0,ie=ie+Math.imul(Tt,un)|0,ie=ie+Math.imul(dt,mi)|0,Se=Se+Math.imul(dt,un)|0,ge=ge+Math.imul(Ae,An)|0,ie=ie+Math.imul(Ae,Hn)|0,ie=ie+Math.imul(rt,An)|0,Se=Se+Math.imul(rt,Hn)|0,ge=ge+Math.imul(tt,Vi)|0,ie=ie+Math.imul(tt,Jn)|0,ie=ie+Math.imul(je,Vi)|0,Se=Se+Math.imul(je,Jn)|0,ge=ge+Math.imul(ar,Gt)|0,ie=ie+Math.imul(ar,wt)|0,ie=ie+Math.imul(Vt,Gt)|0,Se=Se+Math.imul(Vt,wt)|0;var ua=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ua>>>26)|0,ua&=67108863,ge=Math.imul(mr,_i),ie=Math.imul(mr,Pi),ie=ie+Math.imul(Ar,_i)|0,Se=Math.imul(Ar,Pi),ge=ge+Math.imul(pt,mi)|0,ie=ie+Math.imul(pt,un)|0,ie=ie+Math.imul(jt,mi)|0,Se=Se+Math.imul(jt,un)|0,ge=ge+Math.imul(Tt,An)|0,ie=ie+Math.imul(Tt,Hn)|0,ie=ie+Math.imul(dt,An)|0,Se=Se+Math.imul(dt,Hn)|0,ge=ge+Math.imul(Ae,Vi)|0,ie=ie+Math.imul(Ae,Jn)|0,ie=ie+Math.imul(rt,Vi)|0,Se=Se+Math.imul(rt,Jn)|0,ge=ge+Math.imul(tt,Gt)|0,ie=ie+Math.imul(tt,wt)|0,ie=ie+Math.imul(je,Gt)|0,Se=Se+Math.imul(je,wt)|0;var ma=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ma>>>26)|0,ma&=67108863,ge=Math.imul(mr,mi),ie=Math.imul(mr,un),ie=ie+Math.imul(Ar,mi)|0,Se=Math.imul(Ar,un),ge=ge+Math.imul(pt,An)|0,ie=ie+Math.imul(pt,Hn)|0,ie=ie+Math.imul(jt,An)|0,Se=Se+Math.imul(jt,Hn)|0,ge=ge+Math.imul(Tt,Vi)|0,ie=ie+Math.imul(Tt,Jn)|0,ie=ie+Math.imul(dt,Vi)|0,Se=Se+Math.imul(dt,Jn)|0,ge=ge+Math.imul(Ae,Gt)|0,ie=ie+Math.imul(Ae,wt)|0,ie=ie+Math.imul(rt,Gt)|0,Se=Se+Math.imul(rt,wt)|0;var Wa=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Wa>>>26)|0,Wa&=67108863,ge=Math.imul(mr,An),ie=Math.imul(mr,Hn),ie=ie+Math.imul(Ar,An)|0,Se=Math.imul(Ar,Hn),ge=ge+Math.imul(pt,Vi)|0,ie=ie+Math.imul(pt,Jn)|0,ie=ie+Math.imul(jt,Vi)|0,Se=Se+Math.imul(jt,Jn)|0,ge=ge+Math.imul(Tt,Gt)|0,ie=ie+Math.imul(Tt,wt)|0,ie=ie+Math.imul(dt,Gt)|0,Se=Se+Math.imul(dt,wt)|0;var za=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(za>>>26)|0,za&=67108863,ge=Math.imul(mr,Vi),ie=Math.imul(mr,Jn),ie=ie+Math.imul(Ar,Vi)|0,Se=Math.imul(Ar,Jn),ge=ge+Math.imul(pt,Gt)|0,ie=ie+Math.imul(pt,wt)|0,ie=ie+Math.imul(jt,Gt)|0,Se=Se+Math.imul(jt,wt)|0;var Xo=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xo>>>26)|0,Xo&=67108863,ge=Math.imul(mr,Gt),ie=Math.imul(mr,wt),ie=ie+Math.imul(Ar,Gt)|0,Se=Math.imul(Ar,wt);var da=(Ce+ge|0)+((ie&8191)<<13)|0;return Ce=(Se+(ie>>>13)|0)+(da>>>26)|0,da&=67108863,Ee[0]=tr,Ee[1]=ir,Ee[2]=wr,Ee[3]=Xr,Ee[4]=ti,Ee[5]=$r,Ee[6]=Ri,Ee[7]=Hi,Ee[8]=en,Ee[9]=fn,Ee[10]=yn,Ee[11]=Mn,Ee[12]=Ba,Ee[13]=ua,Ee[14]=ma,Ee[15]=Wa,Ee[16]=za,Ee[17]=Xo,Ee[18]=da,Ce!==0&&(Ee[19]=Ce,re.length++),re};Math.imul||(L=T);function x(j,N,H){H.negative=N.negative^j.negative,H.length=j.length+N.length;for(var re=0,ae=0,_e=0;_e<H.length-1;_e++){var Ee=ae;ae=0;for(var Ce=re&67108863,ge=Math.min(_e,N.length-1),ie=Math.max(0,_e-j.length+1);ie<=ge;ie++){var Se=_e-ie,ke=j.words[Se]|0,be=N.words[ie]|0,Be=ke*be,Le=Be&67108863;Ee=Ee+(Be/67108864|0)|0,Le=Le+Ce|0,Ce=Le&67108863,Ee=Ee+(Le>>>26)|0,ae+=Ee>>>26,Ee&=67108863}H.words[_e]=Ce,re=Ee,Ee=ae}return re!==0?H.words[_e]=re:H.length--,H.strip()}function C(j,N,H){var re=new S;return re.mulp(j,N,H)}f.prototype.mulTo=function(N,H){var re,ae=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,H):ae<63?re=T(this,N,H):ae<1024?re=x(this,N,H):re=C(this,N,H),re};function S(j,N){this.x=j,this.y=N}S.prototype.makeRBT=function(N){for(var H=new Array(N),re=f.prototype._countBits(N)-1,ae=0;ae<N;ae++)H[ae]=this.revBin(ae,re,N);return H},S.prototype.revBin=function(N,H,re){if(N===0||N===re-1)return N;for(var ae=0,_e=0;_e<H;_e++)ae|=(N&1)<<H-_e-1,N>>=1;return ae},S.prototype.permute=function(N,H,re,ae,_e,Ee){for(var Ce=0;Ce<Ee;Ce++)ae[Ce]=H[N[Ce]],_e[Ce]=re[N[Ce]]},S.prototype.transform=function(N,H,re,ae,_e,Ee){this.permute(Ee,N,H,re,ae,_e);for(var Ce=1;Ce<_e;Ce<<=1)for(var ge=Ce<<1,ie=Math.cos(2*Math.PI/ge),Se=Math.sin(2*Math.PI/ge),ke=0;ke<_e;ke+=ge)for(var be=ie,Be=Se,Le=0;Le<Ce;Le++){var me=re[ke+Le],Pe=ae[ke+Le],ce=re[ke+Le+Ce],He=ae[ke+Le+Ce],lt=be*ce-Be*He;He=be*He+Be*ce,ce=lt,re[ke+Le]=me+ce,ae[ke+Le]=Pe+He,re[ke+Le+Ce]=me-ce,ae[ke+Le+Ce]=Pe-He,Le!==ge&&(lt=ie*be-Se*Be,Be=ie*Be+Se*be,be=lt)}},S.prototype.guessLen13b=function(N,H){var re=Math.max(H,N)|1,ae=re&1,_e=0;for(re=re/2|0;re;re=re>>>1)_e++;return 1<<_e+1+ae},S.prototype.conjugate=function(N,H,re){if(!(re<=1))for(var ae=0;ae<re/2;ae++){var _e=N[ae];N[ae]=N[re-ae-1],N[re-ae-1]=_e,_e=H[ae],H[ae]=-H[re-ae-1],H[re-ae-1]=-_e}},S.prototype.normalize13b=function(N,H){for(var re=0,ae=0;ae<H/2;ae++){var _e=Math.round(N[2*ae+1]/H)*8192+Math.round(N[2*ae]/H)+re;N[ae]=_e&67108863,_e<67108864?re=0:re=_e/67108864|0}return N},S.prototype.convert13b=function(N,H,re,ae){for(var _e=0,Ee=0;Ee<H;Ee++)_e=_e+(N[Ee]|0),re[2*Ee]=_e&8191,_e=_e>>>13,re[2*Ee+1]=_e&8191,_e=_e>>>13;for(Ee=2*H;Ee<ae;++Ee)re[Ee]=0;u(_e===0),u((_e&-8192)===0)},S.prototype.stub=function(N){for(var H=new Array(N),re=0;re<N;re++)H[re]=0;return H},S.prototype.mulp=function(N,H,re){var ae=2*this.guessLen13b(N.length,H.length),_e=this.makeRBT(ae),Ee=this.stub(ae),Ce=new Array(ae),ge=new Array(ae),ie=new Array(ae),Se=new Array(ae),ke=new Array(ae),be=new Array(ae),Be=re.words;Be.length=ae,this.convert13b(N.words,N.length,Ce,ae),this.convert13b(H.words,H.length,Se,ae),this.transform(Ce,Ee,ge,ie,ae,_e),this.transform(Se,Ee,ke,be,ae,_e);for(var Le=0;Le<ae;Le++){var me=ge[Le]*ke[Le]-ie[Le]*be[Le];ie[Le]=ge[Le]*be[Le]+ie[Le]*ke[Le],ge[Le]=me}return this.conjugate(ge,ie,ae),this.transform(ge,ie,Be,Ee,ae,_e),this.conjugate(Be,Ee,ae),this.normalize13b(Be,ae),re.negative=N.negative^H.negative,re.length=N.length+H.length,re.strip()},f.prototype.mul=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),this.mulTo(N,H)},f.prototype.mulf=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),C(this,N,H)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var H=0,re=0;re<this.length;re++){var ae=(this.words[re]|0)*N,_e=(ae&67108863)+(H&67108863);H>>=26,H+=ae/67108864|0,H+=_e>>>26,this.words[re]=_e&67108863}return H!==0&&(this.words[re]=H,this.length++),this.length=N===0?1:this.length,this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var H=M(N);if(H.length===0)return new f(1);for(var re=this,ae=0;ae<H.length&&H[ae]===0;ae++,re=re.sqr());if(++ae<H.length)for(var _e=re.sqr();ae<H.length;ae++,_e=_e.sqr())H[ae]!==0&&(re=re.mul(_e));return re},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26,ae=67108863>>>26-H<<26-H,_e;if(H!==0){var Ee=0;for(_e=0;_e<this.length;_e++){var Ce=this.words[_e]&ae,ge=(this.words[_e]|0)-Ce<<H;this.words[_e]=ge|Ee,Ee=Ce>>>26-H}Ee&&(this.words[_e]=Ee,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e<re;_e++)this.words[_e]=0;this.length+=re}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,H,re){u(typeof N==\"number\"&&N>=0);var ae;H?ae=(H-H%26)/26:ae=0;var _e=N%26,Ee=Math.min((N-_e)/26,this.length),Ce=67108863^67108863>>>_e<<_e,ge=re;if(ae-=Ee,ae=Math.max(0,ae),ge){for(var ie=0;ie<Ee;ie++)ge.words[ie]=this.words[ie];ge.length=Ee}if(Ee!==0)if(this.length>Ee)for(this.length-=Ee,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Ee];else this.words[0]=0,this.length=1;var Se=0;for(ie=this.length-1;ie>=0&&(Se!==0||ie>=ae);ie--){var ke=this.words[ie]|0;this.words[ie]=Se<<26-_e|ke>>>_e,Se=ke&Ce}return ge&&Se!==0&&(ge.words[ge.length++]=Se),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,H,re){return u(this.negative===0),this.iushrn(N,H,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26,ae=1<<H;if(this.length<=re)return!1;var _e=this.words[re];return!!(_e&ae)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(H!==0&&re++,this.length=Math.min(re,this.length),H!==0){var ae=67108863^67108863>>>H<<H;this.words[this.length-1]&=ae}return this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var H=0;H<this.length&&this.words[H]>=67108864;H++)this.words[H]-=67108864,H===this.length-1?this.words[H+1]=1:this.words[H+1]++;return this.length=Math.max(this.length,H+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var H=0;H<this.length&&this.words[H]<0;H++)this.words[H]+=67108864,this.words[H+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,H,re){var ae=N.length+re,_e;this._expand(ae);var Ee,Ce=0;for(_e=0;_e<N.length;_e++){Ee=(this.words[_e+re]|0)+Ce;var ge=(N.words[_e]|0)*H;Ee-=ge&67108863,Ce=(Ee>>26)-(ge/67108864|0),this.words[_e+re]=Ee&67108863}for(;_e<this.length-re;_e++)Ee=(this.words[_e+re]|0)+Ce,Ce=Ee>>26,this.words[_e+re]=Ee&67108863;if(Ce===0)return this.strip();for(u(Ce===-1),Ce=0,_e=0;_e<this.length;_e++)Ee=-(this.words[_e]|0)+Ce,Ce=Ee>>26,this.words[_e]=Ee&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,H){var re=this.length-N.length,ae=this.clone(),_e=N,Ee=_e.words[_e.length-1]|0,Ce=this._countBits(Ee);re=26-Ce,re!==0&&(_e=_e.ushln(re),ae.iushln(re),Ee=_e.words[_e.length-1]|0);var ge=ae.length-_e.length,ie;if(H!==\"mod\"){ie=new f(null),ie.length=ge+1,ie.words=new Array(ie.length);for(var Se=0;Se<ie.length;Se++)ie.words[Se]=0}var ke=ae.clone()._ishlnsubmul(_e,1,ge);ke.negative===0&&(ae=ke,ie&&(ie.words[ge]=1));for(var be=ge-1;be>=0;be--){var Be=(ae.words[_e.length+be]|0)*67108864+(ae.words[_e.length+be-1]|0);for(Be=Math.min(Be/Ee|0,67108863),ae._ishlnsubmul(_e,Be,be);ae.negative!==0;)Be--,ae.negative=0,ae._ishlnsubmul(_e,1,be),ae.isZero()||(ae.negative^=1);ie&&(ie.words[be]=Be)}return ie&&ie.strip(),ae.strip(),H!==\"div\"&&re!==0&&ae.iushrn(re),{div:ie||null,mod:ae}},f.prototype.divmod=function(N,H,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var ae,_e,Ee;return this.negative!==0&&N.negative===0?(Ee=this.neg().divmod(N,H),H!==\"mod\"&&(ae=Ee.div.neg()),H!==\"div\"&&(_e=Ee.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:ae,mod:_e}):this.negative===0&&N.negative!==0?(Ee=this.divmod(N.neg(),H),H!==\"mod\"&&(ae=Ee.div.neg()),{div:ae,mod:Ee.mod}):(this.negative&N.negative)!==0?(Ee=this.neg().divmod(N.neg(),H),H!==\"div\"&&(_e=Ee.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Ee.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?H===\"div\"?{div:this.divn(N.words[0]),mod:null}:H===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,H)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var H=this.divmod(N);if(H.mod.isZero())return H.div;var re=H.div.negative!==0?H.mod.isub(N):H.mod,ae=N.ushrn(1),_e=N.andln(1),Ee=re.cmp(ae);return Ee<0||_e===1&&Ee===0?H.div:H.div.negative!==0?H.div.isubn(1):H.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var H=(1<<26)%N,re=0,ae=this.length-1;ae>=0;ae--)re=(H*re+(this.words[ae]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var H=0,re=this.length-1;re>=0;re--){var ae=(this.words[re]|0)+H*67108864;this.words[re]=ae/N|0,H=ae%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var H=this,re=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var ae=new f(1),_e=new f(0),Ee=new f(0),Ce=new f(1),ge=0;H.isEven()&&re.isEven();)H.iushrn(1),re.iushrn(1),++ge;for(var ie=re.clone(),Se=H.clone();!H.isZero();){for(var ke=0,be=1;(H.words[0]&be)===0&&ke<26;++ke,be<<=1);if(ke>0)for(H.iushrn(ke);ke-- >0;)(ae.isOdd()||_e.isOdd())&&(ae.iadd(ie),_e.isub(Se)),ae.iushrn(1),_e.iushrn(1);for(var Be=0,Le=1;(re.words[0]&Le)===0&&Be<26;++Be,Le<<=1);if(Be>0)for(re.iushrn(Be);Be-- >0;)(Ee.isOdd()||Ce.isOdd())&&(Ee.iadd(ie),Ce.isub(Se)),Ee.iushrn(1),Ce.iushrn(1);H.cmp(re)>=0?(H.isub(re),ae.isub(Ee),_e.isub(Ce)):(re.isub(H),Ee.isub(ae),Ce.isub(_e))}return{a:Ee,b:Ce,gcd:re.iushln(ge)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var H=this,re=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var ae=new f(1),_e=new f(0),Ee=re.clone();H.cmpn(1)>0&&re.cmpn(1)>0;){for(var Ce=0,ge=1;(H.words[0]&ge)===0&&Ce<26;++Ce,ge<<=1);if(Ce>0)for(H.iushrn(Ce);Ce-- >0;)ae.isOdd()&&ae.iadd(Ee),ae.iushrn(1);for(var ie=0,Se=1;(re.words[0]&Se)===0&&ie<26;++ie,Se<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Ee),_e.iushrn(1);H.cmp(re)>=0?(H.isub(re),ae.isub(_e)):(re.isub(H),_e.isub(ae))}var ke;return H.cmpn(1)===0?ke=ae:ke=_e,ke.cmpn(0)<0&&ke.iadd(N),ke},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var H=this.clone(),re=N.clone();H.negative=0,re.negative=0;for(var ae=0;H.isEven()&&re.isEven();ae++)H.iushrn(1),re.iushrn(1);do{for(;H.isEven();)H.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=H.cmp(re);if(_e<0){var Ee=H;H=re,re=Ee}else if(_e===0||re.cmpn(1)===0)break;H.isub(re)}while(!0);return re.iushln(ae)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var H=N%26,re=(N-H)/26,ae=1<<H;if(this.length<=re)return this._expand(re+1),this.words[re]|=ae,this;for(var _e=ae,Ee=re;_e!==0&&Ee<this.length;Ee++){var Ce=this.words[Ee]|0;Ce+=_e,_e=Ce>>>26,Ce&=67108863,this.words[Ee]=Ce}return _e!==0&&(this.words[Ee]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var H=N<0;if(this.negative!==0&&!H)return-1;if(this.negative===0&&H)return 1;this.strip();var re;if(this.length>1)re=1;else{H&&(N=-N),u(N<=67108863,\"Number is too big\");var ae=this.words[0]|0;re=ae===N?0:ae<N?-1:1}return this.negative!==0?-re|0:re},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var H=this.ucmp(N);return this.negative!==0?-H|0:H},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var H=0,re=this.length-1;re>=0;re--){var ae=this.words[re]|0,_e=N.words[re]|0;if(ae!==_e){ae<_e?H=-1:ae>_e&&(H=1);break}}return H},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new G(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var g={k256:null,p224:null,p192:null,p25519:null};function P(j,N){this.name=j,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var H=N,re;do this.split(H,this.tmp),H=this.imulK(H),H=H.iadd(this.tmp),re=H.bitLength();while(re>this.n);var ae=re<this.n?-1:H.ucmp(this.p);return ae===0?(H.words[0]=0,H.length=1):ae>0?H.isub(this.p):H.strip!==void 0?H.strip():H._strip(),H},P.prototype.split=function(N,H){N.iushrn(this.n,0,H)},P.prototype.imulK=function(N){return N.imul(this.k)};function E(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(E,P),E.prototype.split=function(N,H){for(var re=4194303,ae=Math.min(N.length,9),_e=0;_e<ae;_e++)H.words[_e]=N.words[_e];if(H.length=ae,N.length<=9){N.words[0]=0,N.length=1;return}var Ee=N.words[9];for(H.words[H.length++]=Ee&re,_e=10;_e<N.length;_e++){var Ce=N.words[_e]|0;N.words[_e-10]=(Ce&re)<<4|Ee>>>22,Ee=Ce}Ee>>>=22,N.words[_e-10]=Ee,Ee===0&&N.length>10?N.length-=10:N.length-=9},E.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var H=0,re=0;re<N.length;re++){var ae=N.words[re]|0;H+=ae*977,N.words[re]=H&67108863,H=ae*64+(H/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function z(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(z,P);function q(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(q,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var H=0,re=0;re<N.length;re++){var ae=(N.words[re]|0)*19+H,_e=ae&67108863;ae>>>=26,N.words[re]=_e,H=ae}return H!==0&&(N.words[N.length++]=H),N},f._prime=function(N){if(g[N])return g[N];var H;if(N===\"k256\")H=new E;else if(N===\"p224\")H=new z;else if(N===\"p192\")H=new q;else if(N===\"p25519\")H=new V;else throw new Error(\"Unknown prime \"+N);return g[N]=H,H};function G(j){if(typeof j==\"string\"){var N=f._prime(j);this.m=N.p,this.prime=N}else u(j.gtn(1),\"modulus must be greater than 1\"),this.m=j,this.prime=null}G.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red 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H.negative!==0?(H.negative=0,this.imod(H).redNeg()):this.imod(H)},G.prototype.pow=function(N,H){if(H.isZero())return new f(1).toRed(this);if(H.cmpn(1)===0)return N.clone();var re=4,ae=new Array(1<<re);ae[0]=new f(1).toRed(this),ae[1]=N;for(var _e=2;_e<ae.length;_e++)ae[_e]=this.mul(ae[_e-1],N);var Ee=ae[0],Ce=0,ge=0,ie=H.bitLength()%26;for(ie===0&&(ie=26),_e=H.length-1;_e>=0;_e--){for(var Se=H.words[_e],ke=ie-1;ke>=0;ke--){var be=Se>>ke&1;if(Ee!==ae[0]&&(Ee=this.sqr(Ee)),be===0&&Ce===0){ge=0;continue}Ce<<=1,Ce|=be,ge++,!(ge!==re&&(_e!==0||ke!==0))&&(Ee=this.mul(Ee,ae[Ce]),ge=0,Ce=0)}ie=26}return Ee},G.prototype.convertTo=function(N){var H=N.umod(this.m);return H===N?H.clone():H},G.prototype.convertFrom=function(N){var H=N.clone();return H.red=null,H},f.mont=function(N){return new Z(N)};function Z(j){G.call(this,j),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new f(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}c(Z,G),Z.prototype.convertTo=function(N){return this.imod(N.ushln(this.shift))},Z.prototype.convertFrom=function(N){var H=this.imod(N.mul(this.rinv));return H.red=null,H},Z.prototype.imul=function(N,H){if(N.isZero()||H.isZero())return N.words[0]=0,N.length=1,N;var re=N.imul(H),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Ee=_e;return _e.cmp(this.m)>=0?Ee=_e.isub(this.m):_e.cmpn(0)<0&&(Ee=_e.iadd(this.m)),Ee._forceRed(this)},Z.prototype.mul=function(N,H){if(N.isZero()||H.isZero())return new f(0)._forceRed(this);var re=N.mul(H),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Ee=_e;return 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ct}}}function Z(N,H,re,ae,_e,Ee,Ce,ge,ie,Se){var ke=2*N,be=ge*ke,Be=ie[be+H];e:for(var Le=ae,me=ae*ke;Le<_e;++Le,me+=ke){var Pe=Ce[Le];if(Pe!==Se){var ce=Ee[me+H],He=Ee[me+H+N];if(!(Be<ce||He<Be)){for(var lt=H+1;lt<N;++lt){var ce=Ee[me+lt],He=Ee[me+lt+N],mt=ie[be+lt],Ht=ie[be+lt+N];if(He<mt||Ht<ce)continue e}var at=re(Pe,Se);if(at!==void 0)return at}}}}function j(N,H,re,ae,_e,Ee,Ce,ge,ie){q(N,ae+Ce);var Se=0,ke=2*N,be;for(V(Se++,0,0,ae,0,Ce,re?16:0,-1/0,1/0),re||V(Se++,0,0,Ce,0,ae,1,-1/0,1/0);Se>0;){Se-=1;var Be=Se*S,Le=E[Be],me=E[Be+1],Pe=E[Be+2],ce=E[Be+3],He=E[Be+4],lt=E[Be+5],mt=Se*g,Ht=z[mt],at=z[mt+1],ct=lt&1,ar=!!(lt&16),Vt=_e,rr=Ee,tt=ge,je=ie;if(ct&&(Vt=ge,rr=ie,tt=_e,je=Ee),!(lt&2&&(Pe=T(N,Le,me,Pe,Vt,rr,at),me>=Pe))&&!(lt&4&&(me=L(N,Le,me,Pe,Vt,rr,Ht),me>=Pe))){var Ue=Pe-me,Ae=He-ce;if(ar){if(N*Ue*(Ue+Ae)<p){if(be=h.scanComplete(N,Le,H,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}}else if(N*Math.min(Ue,Ae)<m){if(be=c(N,Le,H,ct,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}else if(N*Ue*Ae<b){if(be=h.scanBipartite(N,Le,H,ct,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}var rt=k(N,Le,me,Pe,Vt,rr,Ht,at);if(me<rt)if(N*(rt-me)<m){if(be=f(N,Le+1,H,me,rt,Vt,rr,ce,He,tt,je),be!==void 0)return be}else if(Le===N-2){if(ct?be=h.sweepBipartite(N,H,ce,He,tt,je,me,rt,Vt,rr):be=h.sweepBipartite(N,H,me,rt,Vt,rr,ce,He,tt,je),be!==void 0)return be}else V(Se++,Le+1,me,rt,ce,He,ct,-1/0,1/0),V(Se++,Le+1,ce,He,me,rt,ct^1,-1/0,1/0);if(rt<Pe){var St=d(N,Le,ce,He,tt,je),Tt=tt[ke*St+Le],dt=M(N,Le,St,He,tt,je,Tt);if(dt<He&&V(Se++,Le,rt,Pe,dt,He,(ct|4)+(ar?16:0),Tt,at),ce<St&&V(Se++,Le,rt,Pe,ce,St,(ct|2)+(ar?16:0),Ht,Tt),St+1===dt){if(ar?be=Z(N,Le,H,rt,Pe,Vt,rr,St,tt,je[St]):be=G(N,Le,H,ct,rt,Pe,Vt,rr,St,tt,je[St]),be!==void 0)return be}else if(St<dt){var Et;if(ar){if(Et=x(N,Le,rt,Pe,Vt,rr,Tt),rt<Et){var pt=M(N,Le,rt,Et,Vt,rr,Tt);if(Le===N-2){if(rt<pt&&(be=h.sweepComplete(N,H,rt,pt,Vt,rr,St,dt,tt,je),be!==void 0)||pt<Et&&(be=h.sweepBipartite(N,H,pt,Et,Vt,rr,St,dt,tt,je),be!==void 0))return be}else rt<pt&&V(Se++,Le+1,rt,pt,St,dt,16,-1/0,1/0),pt<Et&&(V(Se++,Le+1,pt,Et,St,dt,0,-1/0,1/0),V(Se++,Le+1,St,dt,pt,Et,1,-1/0,1/0))}}else ct?Et=C(N,Le,rt,Pe,Vt,rr,Tt):Et=x(N,Le,rt,Pe,Vt,rr,Tt),rt<Et&&(Le===N-2?ct?be=h.sweepBipartite(N,H,St,dt,tt,je,rt,Et,Vt,rr):be=h.sweepBipartite(N,H,rt,Et,Vt,rr,St,dt,tt,je):(V(Se++,Le+1,rt,Et,St,dt,ct,-1/0,1/0),V(Se++,Le+1,St,dt,rt,Et,ct^1,-1/0,1/0)))}}}}}}),3545:(function(i,a,o){\"use strict\";i.exports=f;var s=o(8105),l=s(\"lo<p0\"),u=8;function c(h,d,v,m,b,p){for(var k=2*h,M=k*(v+1)+d,T=v+1;T<m;++T,M+=k)for(var L=b[M],x=T,C=k*(T-1);x>v&&b[C+d]>L;--x,C-=k){for(var S=C,g=C+k,P=0;P<k;++P,++S,++g){var E=b[S];b[S]=b[g],b[g]=E}var z=p[x];p[x]=p[x-1],p[x-1]=z}}function f(h,d,v,m,b,p){if(m<=v+1)return v;for(var k=v,M=m,T=m+v>>>1,L=2*h,x=T,C=b[L*T+d];k<M;){if(M-k<u){c(h,d,k,M,b,p),C=b[L*T+d];break}var S=M-k,g=Math.random()*S+k|0,P=b[L*g+d],E=Math.random()*S+k|0,z=b[L*E+d],q=Math.random()*S+k|0,V=b[L*q+d];P<=z?V>=z?(x=E,C=z):P>=V?(x=g,C=P):(x=q,C=V):z>=V?(x=E,C=z):V>=P?(x=g,C=P):(x=q,C=V);for(var j=L*(M-1),N=L*x,G=0;G<L;++G,++j,++N){var Z=b[j];b[j]=b[N],b[N]=Z}var H=p[M-1];p[M-1]=p[x],p[x]=H,x=l(h,d,k,M-1,b,p,C);for(var j=L*(M-1),N=L*x,G=0;G<L;++G,++j,++N){var Z=b[j];b[j]=b[N],b[N]=Z}var H=p[M-1];if(p[M-1]=p[x],p[x]=H,T<x){for(M=x-1;k<M&&b[L*(M-1)+d]===C;)M-=1;M+=1}else if(x<T)for(k=x+1;k<M&&b[L*k+d]===C;)k+=1;else break}return l(h,d,v,T,b,p,b[L*T+d])}}),8105:(function(i){\"use strict\";i.exports=o;var a={\"lo===p0\":s,\"lo<p0\":l,\"lo<=p0\":u,\"hi<=p0\":c,\"lo<p0&&p0<=hi\":h,\"lo<=p0&&p0<=hi\":f,\"!(lo>=p0)&&!(p1>=hi)\":d};function o(v){return a[v]}function s(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g];if(z===T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function l(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g];if(z<T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function u(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+P];if(z<=T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function c(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+P];if(z<=T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function f(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g],q=k[x+P];if(z<=T&&T<=q)if(S===E)S+=1,C+=L;else{for(var V=0;L>V;++V){var G=k[x+V];k[x+V]=k[C],k[C++]=G}var Z=M[E];M[E]=M[S],M[S++]=Z}}return S}function h(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g],q=k[x+P];if(z<T&&T<=q)if(S===E)S+=1,C+=L;else{for(var V=0;L>V;++V){var G=k[x+V];k[x+V]=k[C],k[C++]=G}var Z=M[E];M[E]=M[S],M[S++]=Z}}return S}function d(v,m,b,p,k,M,T,L){for(var x=2*v,C=x*b,S=C,g=b,P=m,E=v+m,z=b;p>z;++z,C+=x){var q=k[C+P],V=k[C+E];if(!(q>=T)&&!(L>=V))if(g===z)g+=1,S+=x;else{for(var G=0;x>G;++G){var Z=k[C+G];k[C+G]=k[S],k[S++]=Z}var j=M[z];M[z]=M[g],M[g++]=j}}return g}}),4192:(function(i){\"use strict\";i.exports=o;var a=32;function o(m,b){b<=4*a?s(0,b-1,m):v(0,b-1,m)}function s(m,b,p){for(var k=2*(m+1),M=m+1;M<=b;++M){for(var T=p[k++],L=p[k++],x=M,C=k-2;x-- >m;){var S=p[C-2],g=p[C-1];if(S<T)break;if(S===T&&g<L)break;p[C]=S,p[C+1]=g,C-=2}p[C]=T,p[C+1]=L}}function l(m,b,p){m*=2,b*=2;var k=p[m],M=p[m+1];p[m]=p[b],p[m+1]=p[b+1],p[b]=k,p[b+1]=M}function u(m,b,p){m*=2,b*=2,p[m]=p[b],p[m+1]=p[b+1]}function c(m,b,p,k){m*=2,b*=2,p*=2;var M=k[m],T=k[m+1];k[m]=k[b],k[m+1]=k[b+1],k[b]=k[p],k[b+1]=k[p+1],k[p]=M,k[p+1]=T}function f(m,b,p,k,M){m*=2,b*=2,M[m]=M[b],M[b]=p,M[m+1]=M[b+1],M[b+1]=k}function h(m,b,p){m*=2,b*=2;var k=p[m],M=p[b];return k<M?!1:k===M?p[m+1]>p[b+1]:!0}function d(m,b,p,k){m*=2;var M=k[m];return M<b?!0:M===b?k[m+1]<p:!1}function v(m,b,p){var k=(b-m+1)/6|0,M=m+k,T=b-k,L=m+b>>1,x=L-k,C=L+k,S=M,g=x,P=L,E=C,z=T,q=m+1,V=b-1,G=0;h(S,g,p)&&(G=S,S=g,g=G),h(E,z,p)&&(G=E,E=z,z=G),h(S,P,p)&&(G=S,S=P,P=G),h(g,P,p)&&(G=g,g=P,P=G),h(S,E,p)&&(G=S,S=E,E=G),h(P,E,p)&&(G=P,P=E,E=G),h(g,z,p)&&(G=g,g=z,z=G),h(g,P,p)&&(G=g,g=P,P=G),h(E,z,p)&&(G=E,E=z,z=G);for(var Z=p[2*g],j=p[2*g+1],N=p[2*E],H=p[2*E+1],re=2*S,ae=2*P,_e=2*z,Ee=2*M,Ce=2*L,ge=2*T,ie=0;ie<2;++ie){var Se=p[re+ie],ke=p[ae+ie],be=p[_e+ie];p[Ee+ie]=Se,p[Ce+ie]=ke,p[ge+ie]=be}u(x,m,p),u(C,b,p);for(var Be=q;Be<=V;++Be)if(d(Be,Z,j,p))Be!==q&&l(Be,q,p),++q;else 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T(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new T,new T,new T];function x(V,G,Z,j,N){for(var H=V.primalOffset,re=V.primalMinor,ae=V.mirrorOffset,_e=V.mirrorMinor,Ee=j[G],Ce=0;Ce<3;++Ce)if(G!==Ce){var ge=H,ie=ae,Se=re,ke=_e;Ee&1<<Ce&&(ge=ae,ie=H,Se=_e,ke=re),ge[Ce]=Z[0][Ce],ie[Ce]=Z[1][Ce],N[Ce]>0?(Se[Ce]=-1,ke[Ce]=0):(Se[Ce]=0,ke[Ce]=1)}}var C=[0,0,0],S={model:h,view:h,projection:h,_ortho:!1};M.isOpaque=function(){return!0},M.isTransparent=function(){return!1},M.drawTransparent=function(V){};var g=0,P=[0,0,0],E=[0,0,0],z=[0,0,0];M.draw=function(V){V=V||S;for(var Le=this.gl,G=V.model||h,Z=V.view||h,j=V.projection||h,N=this.bounds,H=V._ortho||!1,re=c(G,Z,j,N,H),ae=re.cubeEdges,_e=re.axis,Ee=Z[12],Ce=Z[13],ge=Z[14],ie=Z[15],Se=H?2:1,ke=Se*this.pixelRatio*(j[3]*Ee+j[7]*Ce+j[11]*ge+j[15]*ie)/Le.drawingBufferHeight,be=0;be<3;++be)this.lastCubeProps.cubeEdges[be]=ae[be],this.lastCubeProps.axis[be]=_e[be];for(var Be=L,be=0;be<3;++be)x(L[be],be,this.bounds,ae,_e);for(var Le=this.gl,me=C,be=0;be<3;++be)this.backgroundEnable[be]?me[be]=_e[be]:me[be]=0;this._background.draw(G,Z,j,N,me,this.backgroundColor),this._lines.bind(G,Z,j,this);for(var be=0;be<3;++be){var Pe=[0,0,0];_e[be]>0?Pe[be]=N[1][be]:Pe[be]=N[0][be];for(var ce=0;ce<2;++ce){var He=(be+1+ce)%3,lt=(be+1+(ce^1))%3;this.gridEnable[He]&&this._lines.drawGrid(He,lt,this.bounds,Pe,this.gridColor[He],this.gridWidth[He]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var He=(be+1+ce)%3,lt=(be+1+(ce^1))%3;this.zeroEnable[lt]&&Math.min(N[0][lt],N[1][lt])<=0&&Math.max(N[0][lt],N[1][lt])>=0&&this._lines.drawZero(He,lt,this.bounds,Pe,this.zeroLineColor[lt],this.zeroLineWidth[lt]*this.pixelRatio)}}for(var be=0;be<3;++be){this.lineEnable[be]&&this._lines.drawAxisLine(be,this.bounds,Be[be].primalOffset,this.lineColor[be],this.lineWidth[be]*this.pixelRatio),this.lineMirror[be]&&this._lines.drawAxisLine(be,this.bounds,Be[be].mirrorOffset,this.lineColor[be],this.lineWidth[be]*this.pixelRatio);for(var mt=p(P,Be[be].primalMinor),Ht=p(E,Be[be].mirrorMinor),at=this.lineTickLength,ce=0;ce<3;++ce){var ct=ke/G[5*ce];mt[ce]*=at[ce]*ct,Ht[ce]*=at[ce]*ct}this.lineTickEnable[be]&&this._lines.drawAxisTicks(be,Be[be].primalOffset,mt,this.lineTickColor[be],this.lineTickWidth[be]*this.pixelRatio),this.lineTickMirror[be]&&this._lines.drawAxisTicks(be,Be[be].mirrorOffset,Ht,this.lineTickColor[be],this.lineTickWidth[be]*this.pixelRatio)}this._lines.unbind(),this._text.bind(G,Z,j,this.pixelRatio);var ar,Vt=.5,rr,tt;function je(dt){tt=[0,0,0],tt[dt]=1}function Ue(dt,Et,pt){var jt=(dt+1)%3,or=(dt+2)%3,mr=Et[jt],Ar=Et[or],ei=pt[jt],qr=pt[or];if(mr>0&&qr>0){je(jt);return}else if(mr>0&&qr<0){je(jt);return}else if(mr<0&&qr>0){je(jt);return}else if(mr<0&&qr<0){je(jt);return}else if(Ar>0&&ei>0){je(or);return}else if(Ar>0&&ei<0){je(or);return}else if(Ar<0&&ei>0){je(or);return}else if(Ar<0&&ei<0){je(or);return}}for(var be=0;be<3;++be){for(var Ae=Be[be].primalMinor,rt=Be[be].mirrorMinor,St=p(z,Be[be].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[be]&&(St[ce]+=ke*Ae[ce]*Math.max(this.lineTickLength[ce],0)/G[5*ce]);var Tt=[0,0,0];if(Tt[be]=1,this.tickEnable[be]){this.tickAngle[be]===-3600?(this.tickAngle[be]=0,this.tickAlign[be]=\"auto\"):this.tickAlign[be]=-1,rr=1,ar=[this.tickAlign[be],Vt,rr],ar[0]===\"auto\"?ar[0]=g:ar[0]=parseInt(\"\"+ar[0]),tt=[0,0,0],Ue(be,Ae,rt);for(var ce=0;ce<3;++ce)St[ce]+=ke*Ae[ce]*this.tickPad[ce]/G[5*ce];this._text.drawTicks(be,this.tickSize[be],this.tickAngle[be],St,this.tickColor[be],Tt,tt,ar)}if(this.labelEnable[be]){rr=0,tt=[0,0,0],this.labels[be].length>4&&(je(be),rr=1),ar=[this.labelAlign[be],Vt,rr],ar[0]===\"auto\"?ar[0]=g:ar[0]=parseInt(\"\"+ar[0]);for(var ce=0;ce<3;++ce)St[ce]+=ke*Ae[ce]*this.labelPad[ce]/G[5*ce];St[be]+=.5*(N[0][be]+N[1][be]),this._text.drawLabel(be,this.labelSize[be],this.labelAngle[be],St,this.labelColor[be],[0,0,0],tt,ar)}}this._text.unbind()},M.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function q(V,G){var Z=new k(V);return Z.update(G),Z}}),5304:(function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,m,b){this.gl=d,this.buffer=v,this.vao=m,this.shader=b}var f=c.prototype;f.draw=function(d,v,m,b,p,k){for(var M=!1,T=0;T<3;++T)M=M||p[T];if(M){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:m,bounds:b,enable:p,colors:k},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],m=[],b=0,p=0;p<3;++p)for(var k=(p+1)%3,M=(p+2)%3,T=[0,0,0],L=[0,0,0],x=-1;x<=1;x+=2){m.push(b,b+2,b+1,b+1,b+2,b+3),T[p]=x,L[p]=x;for(var C=-1;C<=1;C+=2){T[k]=C;for(var S=-1;S<=1;S+=2)T[M]=S,v.push(T[0],T[1],T[2],L[0],L[1],L[2]),b+=1}var g=k;k=M,M=g}var P=s(d,new Float32Array(v)),E=s(d,new Uint16Array(m),d.ELEMENT_ARRAY_BUFFER),z=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],E),q=u(d);return q.attributes.position.location=0,q.attributes.normal.location=1,new c(d,P,z,q)}}),6429:(function(i,a,o){\"use strict\";i.exports=x;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),m=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,S,g){for(var P=0;P<4;++P){C[P]=g[12+P];for(var E=0;E<3;++E)C[P]+=S[E]*g[4*E+P]}}var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function k(C){for(var S=0;S<p.length;++S)if(C=u.positive(C,p[S]),C.length<3)return 0;for(var g=C[0],P=g[0]/g[3],E=g[1]/g[3],z=0,S=1;S+1<C.length;++S){var q=C[S],V=C[S+1],G=q[0]/q[3],Z=q[1]/q[3],j=V[0]/V[3],N=V[1]/V[3],H=G-P,re=Z-E,ae=j-P,_e=N-E;z+=Math.abs(H*_e-re*ae)}return z}var M=[1,1,1],T=[0,0,0],L={cubeEdges:M,axis:T};function x(C,S,g,P,E){l(f,S,C),l(f,g,f);for(var z=0,q=0;q<2;++q){v[2]=P[q][2];for(var V=0;V<2;++V){v[1]=P[V][1];for(var G=0;G<2;++G)v[0]=P[G][0],b(h[z],v,f),z+=1}}for(var Z=-1,q=0;q<8;++q){for(var j=h[q][3],N=0;N<3;++N)d[q][N]=h[q][N]/j;E&&(d[q][2]*=-1),j<0&&(Z<0||d[q][2]<d[Z][2])&&(Z=q)}if(Z<0){Z=0;for(var H=0;H<3;++H){for(var re=(H+2)%3,ae=(H+1)%3,_e=-1,Ee=-1,Ce=0;Ce<2;++Ce){var ge=Ce<<H,ie=ge+(Ce<<re)+(1-Ce<<ae),Se=ge+(1-Ce<<re)+(Ce<<ae);c(d[ge],d[ie],d[Se],m)<0||(Ce?_e=1:Ee=1)}if(_e<0||Ee<0){Ee>_e&&(Z|=1<<H);continue}for(var Ce=0;Ce<2;++Ce){var ge=Ce<<H,ie=ge+(Ce<<re)+(1-Ce<<ae),Se=ge+(1-Ce<<re)+(Ce<<ae),ke=k([h[ge],h[ie],h[Se],h[ge+(1<<re)+(1<<ae)]]);Ce?_e=ke:Ee=ke}if(Ee>_e){Z|=1<<H;continue}}}for(var be=7^Z,Be=-1,q=0;q<8;++q)q===Z||q===be||(Be<0||d[Be][1]>d[q][1])&&(Be=q);for(var Le=-1,q=0;q<3;++q){var me=Be^1<<q;if(!(me===Z||me===be)){Le<0&&(Le=me);var ae=d[me];ae[0]<d[Le][0]&&(Le=me)}}for(var Pe=-1,q=0;q<3;++q){var me=Be^1<<q;if(!(me===Z||me===be||me===Le)){Pe<0&&(Pe=me);var ae=d[me];ae[0]>d[Pe][0]&&(Pe=me)}}var ce=M;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Le^Be)]=Be&Le,ce[s.log2(Be^Pe)]=Be&Pe;var He=Pe^7;He===Z||He===be?(He=Le^7,ce[s.log2(Pe^He)]=He&Pe):ce[s.log2(Le^He)]=He&Le;for(var lt=T,mt=Z,H=0;H<3;++H)mt&1<<H?lt[H]=-1:lt[H]=1;return L}}),501:(function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(1879).n,c=[0,0,0],f=[0,0,0],h=[0,0,0],d=[0,0,0],v=[1,1];function m(T){return T[0]=T[1]=T[2]=0,T}function b(T,L){return T[0]=L[0],T[1]=L[1],T[2]=L[2],T}function p(T,L,x,C,S,g,P,E){this.gl=T,this.vertBuffer=L,this.vao=x,this.shader=C,this.tickCount=S,this.tickOffset=g,this.gridCount=P,this.gridOffset=E}var k=p.prototype;k.bind=function(T,L,x){this.shader.bind(),this.shader.uniforms.model=T,this.shader.uniforms.view=L,this.shader.uniforms.projection=x,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},k.unbind=function(){this.vao.unbind()},k.drawAxisLine=function(T,L,x,C,S){var g=m(f);this.shader.uniforms.majorAxis=f,g[T]=L[1][T]-L[0][T],this.shader.uniforms.minorAxis=g;var P=b(d,x);P[T]+=L[0][T],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=S,this.shader.uniforms.color=C;var E=m(h);E[(T+2)%3]=1,this.shader.uniforms.screenAxis=E,this.vao.draw(this.gl.TRIANGLES,6);var E=m(h);E[(T+1)%3]=1,this.shader.uniforms.screenAxis=E,this.vao.draw(this.gl.TRIANGLES,6)},k.drawAxisTicks=function(T,L,x,C,S){if(this.tickCount[T]){var g=m(c);g[T]=1,this.shader.uniforms.majorAxis=g,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=x,this.shader.uniforms.color=C,this.shader.uniforms.lineWidth=S;var P=m(h);P[T]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[T],this.tickOffset[T])}},k.drawGrid=function(T,L,x,C,S,g){if(this.gridCount[T]){var P=m(f);P[L]=x[1][L]-x[0][L],this.shader.uniforms.minorAxis=P;var E=b(d,C);E[L]+=x[0][L],this.shader.uniforms.offset=E;var z=m(c);z[T]=1,this.shader.uniforms.majorAxis=z;var q=m(h);q[T]=1,this.shader.uniforms.screenAxis=q,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=S,this.vao.draw(this.gl.TRIANGLES,this.gridCount[T],this.gridOffset[T])}},k.drawZero=function(T,L,x,C,S,g){var P=m(f);this.shader.uniforms.majorAxis=P,P[T]=x[1][T]-x[0][T],this.shader.uniforms.minorAxis=P;var E=b(d,C);E[T]+=x[0][T],this.shader.uniforms.offset=E;var z=m(h);z[L]=1,this.shader.uniforms.screenAxis=z,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=S,this.vao.draw(this.gl.TRIANGLES,6)},k.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function M(T,L,x){var C=[],S=[0,0,0],g=[0,0,0],P=[0,0,0],E=[0,0,0];C.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var z=0;z<3;++z){for(var G=C.length/3|0,q=0;q<x[z].length;++q){var V=+x[z][q].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;S[z]=G,g[z]=j-G;for(var G=C.length/3|0,Z=0;Z<x[z].length;++Z){var V=+x[z][Z].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;P[z]=G,E[z]=j-G}var N=s(T,new Float32Array(C)),H=l(T,[{buffer:N,type:T.FLOAT,size:3,stride:0,offset:0}]),re=u(T);return re.attributes.position.location=0,new p(T,N,H,re,g,S,E,P)}}),1879:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
+       "uniform float lineWidth;\n",
+       "uniform vec2 screenShape;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 major = position.x * majorAxis;\n",
+       "  vec3 minor = position.y * minorAxis;\n",
+       "\n",
+       "  vec3 vPosition = major + minor + offset;\n",
+       "  vec3 pPosition = project(vPosition);\n",
+       "  vec3 offset = project(vPosition + screenAxis * position.z);\n",
+       "\n",
+       "  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.n=function(m){return l(m,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
+       "uniform float scale, angle, pixelScale;\n",
+       "uniform vec2 resolution;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "float computeViewAngle(vec3 a, vec3 b) {\n",
+       "  vec3 A = project(a);\n",
+       "  vec3 B = project(b);\n",
+       "\n",
+       "  return atan(\n",
+       "    (B.y - A.y) * resolution.y,\n",
+       "    (B.x - A.x) * resolution.x\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "const float PI = 3.141592;\n",
+       "const float TWO_PI = 2.0 * PI;\n",
+       "const float HALF_PI = 0.5 * PI;\n",
+       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
+       "\n",
+       "int option = int(floor(alignOpt.x + 0.001));\n",
+       "float hv_ratio =       alignOpt.y;\n",
+       "bool enableAlign =    (alignOpt.z != 0.0);\n",
+       "\n",
+       "float mod_angle(float a) {\n",
+       "  return mod(a, PI);\n",
+       "}\n",
+       "\n",
+       "float positive_angle(float a) {\n",
+       "  return mod_angle((a < 0.0) ?\n",
+       "    a + TWO_PI :\n",
+       "    a\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "float look_upwards(float a) {\n",
+       "  float b = positive_angle(a);\n",
+       "  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n",
+       "    b - PI :\n",
+       "    b;\n",
+       "}\n",
+       "\n",
+       "float look_horizontal_or_vertical(float a, float ratio) {\n",
+       "  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n",
+       "  // if ratio is set to 0.5 then it is 50%, 50%.\n",
+       "  // when using a higher ratio e.g. 0.75 the result would\n",
+       "  // likely be more horizontal than vertical.\n",
+       "\n",
+       "  float b = positive_angle(a);\n",
+       "\n",
+       "  return\n",
+       "    (b < (      ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n",
+       "    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n",
+       "                                    0.0;\n",
+       "}\n",
+       "\n",
+       "float roundTo(float a, float b) {\n",
+       "  return float(b * floor((a + 0.5 * b) / b));\n",
+       "}\n",
+       "\n",
+       "float look_round_n_directions(float a, int n) {\n",
+       "  float b = positive_angle(a);\n",
+       "  float div = TWO_PI / float(n);\n",
+       "  float c = roundTo(b, div);\n",
+       "  return look_upwards(c);\n",
+       "}\n",
+       "\n",
+       "float applyAlignOption(float rawAngle, float delta) {\n",
+       "  return\n",
+       "    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n",
+       "    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n",
+       "    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n",
+       "    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n",
+       "    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n",
+       "                    rawAngle;                // otherwise return back raw input angle\n",
+       "}\n",
+       "\n",
+       "bool isAxisTitle = (axis.x == 0.0) &&\n",
+       "                   (axis.y == 0.0) &&\n",
+       "                   (axis.z == 0.0);\n",
+       "\n",
+       "void main() {\n",
+       "  //Compute world offset\n",
+       "  float axisDistance = position.z;\n",
+       "  vec3 dataPosition = axisDistance * axis + offset;\n",
+       "\n",
+       "  float beta = angle; // i.e. user defined attributes for each tick\n",
+       "\n",
+       "  float axisAngle;\n",
+       "  float clipAngle;\n",
+       "  float flip;\n",
+       "\n",
+       "  if (enableAlign) {\n",
+       "    axisAngle = (isAxisTitle) ? HALF_PI :\n",
+       "                      computeViewAngle(dataPosition, dataPosition + axis);\n",
+       "    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n",
+       "\n",
+       "    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n",
+       "    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n",
+       "\n",
+       "    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n",
+       "                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n",
+       "\n",
+       "    beta += applyAlignOption(clipAngle, flip * PI);\n",
+       "  }\n",
+       "\n",
+       "  //Compute plane offset\n",
+       "  vec2 planeCoord = position.xy * pixelScale;\n",
+       "\n",
+       "  mat2 planeXform = scale * mat2(\n",
+       "     cos(beta), sin(beta),\n",
+       "    -sin(beta), cos(beta)\n",
+       "  );\n",
+       "\n",
+       "  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n",
+       "\n",
+       "  //Compute clip position\n",
+       "  vec3 clipPosition = project(dataPosition);\n",
+       "\n",
+       "  //Apply text offset in clip coordinates\n",
+       "  clipPosition += vec3(viewOffset, 0.0);\n",
+       "\n",
+       "  //Done\n",
+       "  gl_Position = vec4(clipPosition, 1.0);\n",
+       "}\n",
+       "`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.Q=function(m){return l(m,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 enable;\n",
+       "uniform vec3 bounds[2];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "\n",
+       "  vec3 signAxis = sign(bounds[1] - bounds[0]);\n",
+       "\n",
+       "  vec3 realNormal = signAxis * normal;\n",
+       "\n",
+       "  if(dot(realNormal, enable) > 0.0) {\n",
+       "    vec3 minRange = min(bounds[0], bounds[1]);\n",
+       "    vec3 maxRange = max(bounds[0], bounds[1]);\n",
+       "    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n",
+       "    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n",
+       "  } else {\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  }\n",
+       "\n",
+       "  colorChannel = abs(realNormal);\n",
+       "}\n",
+       "`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 colors[3];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = colorChannel.x * colors[0] +\n",
+       "                 colorChannel.y * colors[1] +\n",
+       "                 colorChannel.z * colors[2];\n",
+       "}`]);a.bg=function(m){return l(m,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}}),4935:(function(i,a,o){\"use strict\";i.exports=k;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(M,T,L,x){this.gl=M,this.shader=T,this.buffer=L,this.vao=x,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var m=v.prototype,b=[0,0];m.bind=function(M,T,L,x){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=M,C.view=T,C.projection=L,C.pixelScale=x,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},m.unbind=function(){this.vao.unbind()},m.update=function(M,T,L,x,C){var S=[];function g(H,re,ae,_e,Ee,Ce){var ge=[ae.style,ae.weight,ae.variant,ae.family].join(\"_\"),ie=h[ge];ie||(ie=h[ge]={});var Se=ie[re];Se||(Se=ie[re]=p(re,{triangles:!0,font:ae.family,fontStyle:ae.style,fontWeight:ae.weight,fontVariant:ae.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Ee,styletags:Ce}));for(var ke=(_e||12)/12,be=Se.positions,Be=Se.cells,Le=0,me=Be.length;Le<me;++Le)for(var Pe=Be[Le],ce=2;ce>=0;--ce){var He=be[Pe[ce]];S.push(ke*He[0],-ke*He[1],H)}}for(var P=[0,0,0],E=[0,0,0],z=[0,0,0],q=[0,0,0],V=1.25,G={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},Z=0;Z<3;++Z){z[Z]=S.length/d|0,g(.5*(M[0][Z]+M[1][Z]),T[Z],L[Z],12,V,G),q[Z]=(S.length/d|0)-z[Z],P[Z]=S.length/d|0;for(var j=0;j<x[Z].length;++j)if(x[Z][j].text){var N={family:x[Z][j].font||C[Z].family,style:C[Z].fontStyle||C[Z].style,weight:C[Z].fontWeight||C[Z].weight,variant:C[Z].fontVariant||C[Z].variant};g(x[Z][j].x,x[Z][j].text,N,x[Z][j].fontSize||12,V,G)}E[Z]=(S.length/d|0)-P[Z]}this.buffer.update(S),this.tickOffset=P,this.tickCount=E,this.labelOffset=z,this.labelCount=q},m.drawTicks=function(M,T,L,x,C,S,g,P){this.tickCount[M]&&(this.shader.uniforms.axis=S,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=T,this.shader.uniforms.offset=x,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[M],this.tickOffset[M]))},m.drawLabel=function(M,T,L,x,C,S,g,P){this.labelCount[M]&&(this.shader.uniforms.axis=S,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=T,this.shader.uniforms.offset=x,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[M],this.labelOffset[M]))},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function p(M,T){try{return u(M,T)}catch(L){return console.warn('error vectorizing text:\"'+M+'\" error:',L),{cells:[],positions:[]}}}function k(M,T,L,x,C,S){var g=s(M),P=l(M,[{buffer:g,size:3}]),E=c(M);E.attributes.position.location=0;var z=new v(M,E,g,P);return z.update(T,L,x,C,S),z}}),6444:(function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),m=Math.round(u*c*v),b=m+\"\";if(b.indexOf(\"e\")>=0)return b;var p=m/v,k=m%v;m<0?(p=-Math.ceil(p)|0,k=-k|0):(p=Math.floor(p)|0,k=k|0);var M=\"\"+p;if(m<0&&(M=\"-\"+M),d){for(var T=\"\"+k;T.length<d;)T=\"0\"+T;return M+\".\"+T}else return M}function s(u,c){for(var f=[],h=0;h<3;++h){for(var d=[],v=.5*(u[0][h]+u[1][h]),m=0;m*c[h]<=u[1][h];++m)d.push({x:m*c[h],text:o(c[h],m)});for(var m=-1;m*c[h]>=u[0][h];--m)d.push({x:m*c[h],text:o(c[h],m)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;h<u[f].length;++h){var d=u[f][h],v=c[f][h];if(d.x!==v.x||d.text!==v.text||d.font!==v.font||d.fontColor!==v.fontColor||d.fontSize!==v.fontSize||d.dx!==v.dx||d.dy!==v.dy)return!1}}return!0}}),5445:(function(i,a,o){\"use strict\";i.exports=L;var s=o(5033),l=o(5202),u=o(6429),c=o(6760),f=o(5665),h=o(5352),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),v=new Float32Array(16);function m(x,C,S){this.lo=x,this.hi=C,this.pixelsPerDataUnit=S}var b=[0,0,0,1],p=[0,0,0,1];function k(x,C,S,g,P){for(var E=0;E<3;++E){for(var z=b,q=p,V=0;V<3;++V)q[V]=z[V]=S[V];q[3]=z[3]=1,q[E]+=1,h(q,q,C),q[3]<0&&(x[E]=1/0),z[E]-=1,h(z,z,C),z[3]<0&&(x[E]=1/0);var G=(z[0]/z[3]-q[0]/q[3])*g,Z=(z[1]/z[3]-q[1]/q[3])*P;x[E]=.25*Math.sqrt(G*G+Z*Z)}return x}var M=[new m(1/0,-1/0,1/0),new m(1/0,-1/0,1/0),new m(1/0,-1/0,1/0)],T=[0,0,0];function L(x,C,S,g,Z){var E=C.model||d,z=C.view||d,q=C.projection||d,V=C._ortho||!1,G=x.bounds,Z=Z||u(E,z,q,G,V),j=Z.axis;c(v,z,E),c(v,q,v);for(var N=M,H=0;H<3;++H)N[H].lo=1/0,N[H].hi=-1/0,N[H].pixelsPerDataUnit=1/0;var re=s(f(v,v));f(v,v);for(var ae=0;ae<3;++ae){var _e=(ae+1)%3,Ee=(ae+2)%3,Ce=T;e:for(var H=0;H<2;++H){var ge=[];if(j[ae]<0!=!!H){Ce[ae]=G[H][ae];for(var ie=0;ie<2;++ie){Ce[_e]=G[ie^H][_e];for(var Se=0;Se<2;++Se)Ce[Ee]=G[Se^ie^H][Ee],ge.push(Ce.slice())}for(var ke=V?5:4,ie=ke;ie===ke;++ie){if(ge.length===0)continue e;ge=l.positive(ge,re[ie])}for(var ie=0;ie<ge.length;++ie)for(var Ee=ge[ie],be=k(T,v,Ee,S,g),Se=0;Se<3;++Se)N[Se].lo=Math.min(N[Se].lo,Ee[Se]),N[Se].hi=Math.max(N[Se].hi,Ee[Se]),Se!==ae&&(N[Se].pixelsPerDataUnit=Math.min(N[Se].pixelsPerDataUnit,Math.abs(be[Se])))}}}return N}}),2762:(function(i,a,o){\"use strict\";var s=o(1888),l=o(5298),u=o(9618),c=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function f(p,k,M,T,L){this.gl=p,this.type=k,this.handle=M,this.length=T,this.usage=L}var h=f.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)};function d(p,k,M,T,L,x){var C=L.length*L.BYTES_PER_ELEMENT;if(x<0)return p.bufferData(k,L,T),C;if(C+x>M)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return p.bufferSubData(k,x,L),M}function v(p,k){for(var M=s.malloc(p.length,k),T=p.length,L=0;L<T;++L)M[L]=p[L];return M}function m(p,k){for(var M=1,T=k.length-1;T>=0;--T){if(k[T]!==M)return!1;M*=p[T]}return!0}h.update=function(p,k){if(typeof k!=\"number\"&&(k=-1),this.bind(),typeof p==\"object\"&&typeof p.shape!=\"undefined\"){var M=p.dtype;if(c.indexOf(M)<0&&(M=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var T=gl.getExtension(\"OES_element_index_uint\");T&&M!==\"uint16\"?M=\"uint32\":M=\"uint16\"}if(M===p.dtype&&m(p.shape,p.stride))p.offset===0&&p.data.length===p.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,p.data,k):this.length=d(this.gl,this.type,this.length,this.usage,p.data.subarray(p.offset,p.shape[0]),k);else{var L=s.malloc(p.size,M),x=u(L,p.shape);l.assign(x,p),k<0?this.length=d(this.gl,this.type,this.length,this.usage,L,k):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,p.size),k),s.free(L)}}else if(Array.isArray(p)){var C;this.type===this.gl.ELEMENT_ARRAY_BUFFER?C=v(p,\"uint16\"):C=v(p,\"float32\"),k<0?this.length=d(this.gl,this.type,this.length,this.usage,C,k):this.length=d(this.gl,this.type,this.length,this.usage,C.subarray(0,p.length),k),s.free(C)}else if(typeof p==\"object\"&&typeof p.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,p,k);else if(typeof p==\"number\"||p===void 0){if(k>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");p=p|0,p<=0&&(p=1),this.gl.bufferData(this.type,p|0,this.usage),this.length=p}else throw new Error(\"gl-buffer: Invalid data type\")};function b(p,k,M,T){if(M=M||p.ARRAY_BUFFER,T=T||p.DYNAMIC_DRAW,M!==p.ARRAY_BUFFER&&M!==p.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(T!==p.DYNAMIC_DRAW&&T!==p.STATIC_DRAW&&T!==p.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var L=p.createBuffer(),x=new f(p,M,L,0,T);return x.update(k),x}i.exports=b}),6405:(function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,m=1/0,b=-1/0,p=1/0,k=-1/0,M=1/0,T=-1/0,L=null,x=null,C=[],S=1/0,g=!1,P=u.coneSizemode===\"raw\",E=0;E<f.length;E++){var z=f[E];m=Math.min(z[0],m),b=Math.max(z[0],b),p=Math.min(z[1],p),k=Math.max(z[1],k),M=Math.min(z[2],M),T=Math.max(z[2],T);var q=h[E];if(s.length(q)>v&&(v=s.length(q)),E&&!P){var V=2*s.distance(L,z)/(s.length(x)+s.length(q));V?(S=Math.min(S,V),g=!1):g=!0}g||(L=z,x=q),C.push(q)}var G=[m,p,M],Z=[b,k,T];c&&(c[0]=G,c[1]=Z),v===0&&(v=1);var j=1/v;isFinite(S)||(S=1),d.vectorScale=S;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*j),d.coneScale=N;for(var E=0,H=0;E<f.length;E++)for(var z=f[E],re=z[0],ae=z[1],_e=z[2],Ee=C[E],Ce=s.length(Ee)*j,ge=0,ie=8;ge<ie;ge++){d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vertexIntensity.push(Ce,Ce,Ce),d.vertexIntensity.push(Ce,Ce,Ce);var Se=d.positions.length;d.cells.push([Se-6,Se-5,Se-4],[Se-3,Se-2,Se-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}}),9060:(function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(C,S,g,P,E,z,q,V,G,Z,j){this.gl=C,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=S,this.dirty=!0,this.triShader=g,this.pickShader=P,this.trianglePositions=E,this.triangleVectors=z,this.triangleColors=V,this.triangleUVs=G,this.triangleIds=q,this.triangleVAO=Z,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=j,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var p=b.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(C){this.pickId=C};function k(C){for(var S=v({colormap:C,nshades:256,format:\"rgba\"}),g=new Uint8Array(256*4),P=0;P<256;++P){for(var E=S[P],z=0;z<3;++z)g[4*P+z]=E[z];g[4*P+3]=E[3]*255}return d(g,[256,256,4],[4,0,1])}function M(C){for(var S=C.length,g=new Array(S),P=0;P<S;++P)g[P]=C[P][2];return g}p.update=function(C){C=C||{};var S=this.gl;this.dirty=!0,\"lightPosition\"in C&&(this.lightPosition=C.lightPosition),\"opacity\"in C&&(this.opacity=C.opacity),\"ambient\"in C&&(this.ambientLight=C.ambient),\"diffuse\"in C&&(this.diffuseLight=C.diffuse),\"specular\"in C&&(this.specularLight=C.specular),\"roughness\"in C&&(this.roughness=C.roughness),\"fresnel\"in C&&(this.fresnel=C.fresnel),C.tubeScale!==void 0&&(this.tubeScale=C.tubeScale),C.vectorScale!==void 0&&(this.vectorScale=C.vectorScale),C.coneScale!==void 0&&(this.coneScale=C.coneScale),C.coneOffset!==void 0&&(this.coneOffset=C.coneOffset),C.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=S.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=S.LINEAR,this.texture.setPixels(k(C.colormap)),this.texture.generateMipmap());var g=C.cells,P=C.positions,E=C.vectors;if(!(!P||!g||!E)){var z=[],q=[],V=[],G=[],Z=[];this.cells=g,this.positions=P,this.vectors=E;var j=C.meshColor||[1,1,1,1],N=C.vertexIntensity,H=1/0,re=-1/0;if(N)if(C.vertexIntensityBounds)H=+C.vertexIntensityBounds[0],re=+C.vertexIntensityBounds[1];else for(var ae=0;ae<N.length;++ae){var _e=N[ae];H=Math.min(H,_e),re=Math.max(re,_e)}else for(var ae=0;ae<P.length;++ae){var _e=P[ae][2];H=Math.min(H,_e),re=Math.max(re,_e)}N?this.intensity=N:this.intensity=M(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var ae=0;ae<P.length;++ae)for(var Ee=P[ae],Ce=0;Ce<3;++Ce)isNaN(Ee[Ce])||!isFinite(Ee[Ce])||(this.bounds[0][Ce]=Math.min(this.bounds[0][Ce],Ee[Ce]),this.bounds[1][Ce]=Math.max(this.bounds[1][Ce],Ee[Ce]));var ge=0;e:for(var ae=0;ae<g.length;++ae){var ie=g[ae];switch(ie.length){case 3:for(var Ce=0;Ce<3;++Ce)for(var Se=ie[Ce],Ee=P[Se],ke=0;ke<3;++ke)if(isNaN(Ee[ke])||!isFinite(Ee[ke]))continue e;for(var Ce=0;Ce<3;++Ce){var Se=ie[2-Ce],Ee=P[Se];z.push(Ee[0],Ee[1],Ee[2],Ee[3]);var be=E[Se];q.push(be[0],be[1],be[2],be[3]||0);var Be=j;Be.length===3?V.push(Be[0],Be[1],Be[2],1):V.push(Be[0],Be[1],Be[2],Be[3]);var Le;N?Le=[(N[Se]-H)/(re-H),0]:Le=[(Ee[2]-H)/(re-H),0],G.push(Le[0],Le[1]),Z.push(ae)}ge+=1;break;default:break}}this.triangleCount=ge,this.trianglePositions.update(z),this.triangleVectors.update(q),this.triangleColors.update(V),this.triangleUVs.update(G),this.triangleIds.update(new Uint32Array(Z))}},p.drawTransparent=p.draw=function(C){C=C||{};for(var S=this.gl,g=C.model||m,P=C.view||m,E=C.projection||m,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)z[0][q]=Math.max(z[0][q],this.clipBounds[0][q]),z[1][q]=Math.min(z[1][q],this.clipBounds[1][q]);var V={model:g,view:P,projection:E,inverseModel:m.slice(),clipBounds:z,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};V.inverseModel=h(V.inverseModel,V.model),S.disable(S.CULL_FACE),this.texture.bind(0);var G=new Array(16);f(G,V.view,V.model),f(G,V.projection,G),h(G,G);for(var q=0;q<3;++q)V.eyePosition[q]=G[12+q]/G[15];for(var Z=G[15],q=0;q<3;++q)Z+=this.lightPosition[q]*G[4*q+3];for(var q=0;q<3;++q){for(var j=G[12+q],N=0;N<3;++N)j+=G[4*N+q]*this.lightPosition[N];V.lightPosition[q]=j/Z}if(this.triangleCount>0){var H=this.triShader;H.bind(),H.uniforms=V,this.triangleVAO.bind(),S.drawArrays(S.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},p.drawPick=function(C){C=C||{};for(var S=this.gl,g=C.model||m,P=C.view||m,E=C.projection||m,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)z[0][q]=Math.max(z[0][q],this.clipBounds[0][q]),z[1][q]=Math.min(z[1][q],this.clipBounds[1][q]);this._model=[].slice.call(g),this._view=[].slice.call(P),this._projection=[].slice.call(E),this._resolution=[S.drawingBufferWidth,S.drawingBufferHeight];var V={model:g,view:P,projection:E,clipBounds:z,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},G=this.pickShader;G.bind(),G.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),S.drawArrays(S.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},p.pick=function(C){if(!C||C.id!==this.pickId)return null;var S=C.value[0]+256*C.value[1]+65536*C.value[2],g=this.cells[S],P=this.positions[g[1]].slice(0,3),E={position:P,dataCoordinate:P,index:Math.floor(g[1]/48)};return this.traceType===\"cone\"?E.index=Math.floor(g[1]/48):this.traceType===\"streamtube\"&&(E.intensity=this.intensity[g[1]],E.velocity=this.vectors[g[1]].slice(0,3),E.divergence=this.vectors[g[1]][3],E.index=S),E},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function T(C,S){var g=s(C,S.meshShader.vertex,S.meshShader.fragment,null,S.meshShader.attributes);return g.attributes.position.location=0,g.attributes.color.location=2,g.attributes.uv.location=3,g.attributes.vector.location=4,g}function L(C,S){var g=s(C,S.pickShader.vertex,S.pickShader.fragment,null,S.pickShader.attributes);return g.attributes.position.location=0,g.attributes.id.location=1,g.attributes.vector.location=4,g}function x(C,S,g){var P=g.shaders;arguments.length===1&&(S=C,C=S.gl);var E=T(C,P),z=L(C,P),q=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));q.generateMipmap(),q.minFilter=C.LINEAR_MIPMAP_LINEAR,q.magFilter=C.LINEAR;var V=l(C),G=l(C),Z=l(C),j=l(C),N=l(C),H=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Z,type:C.FLOAT,size:4},{buffer:j,type:C.FLOAT,size:2},{buffer:G,type:C.FLOAT,size:4}]),re=new b(C,q,E,z,V,G,N,Z,j,H,g.traceType||\"cone\");return re.update(S),re}i.exports=x}),614:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec3 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * conePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(conePosition, 1.0);\n",
+       "  vec4 t_position  = view * conePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = conePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "  gl_Position = projection * (view * conePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}}),737:(function(i){i.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}}),5171:(function(i,a,o){var s=o(737);i.exports=function(u){return s[u]}}),9165:(function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,M,T){this.gl=p,this.shader=T,this.buffer=k,this.vao=M,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(p){var k=this.gl,M=this.shader.uniforms;this.shader.bind();var T=M.view=p.view||c,L=M.projection=p.projection||c;M.model=p.model||c,M.clipBounds=this.clipBounds,M.opacity=this.opacity;var x=T[12],C=T[13],S=T[14],g=T[15],P=p._ortho||!1,E=P?2:1,z=E*this.pixelRatio*(L[3]*x+L[7]*C+L[11]*S+L[15]*g)/k.drawingBufferHeight;this.vao.bind();for(var q=0;q<3;++q)k.lineWidth(this.lineWidth[q]*this.pixelRatio),M.capSize=this.capSize[q]*z,this.lineCount[q]&&k.drawArrays(k.LINES,this.lineOffset[q],this.lineCount[q]);this.vao.unbind()};function d(p,k){for(var M=0;M<3;++M)p[0][M]=Math.min(p[0][M],k[M]),p[1][M]=Math.max(p[1][M],k[M])}var v=(function(){for(var p=new Array(3),k=0;k<3;++k){for(var M=[],T=1;T<=2;++T)for(var L=-1;L<=1;L+=2){var x=(T+k)%3,C=[0,0,0];C[x]=L,M.push(C)}p[k]=M}return p})();function m(p,k,M,T){for(var L=v[T],x=0;x<L.length;++x){var C=L[x];p.push(k[0],k[1],k[2],M[0],M[1],M[2],M[3],C[0],C[1],C[2])}return L.length}h.update=function(p){p=p||{},\"lineWidth\"in p&&(this.lineWidth=p.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in p&&(this.capSize=p.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var k=p.color||[[0,0,0],[0,0,0],[0,0,0]],M=p.position,T=p.error;if(Array.isArray(k[0])||(k=[k,k,k]),M&&T){var L=[],x=M.length,C=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var S=0;S<3;++S){this.lineOffset[S]=C;e:for(var g=0;g<x;++g){for(var P=M[g],E=0;E<3;++E)if(isNaN(P[E])||!isFinite(P[E]))continue e;var z=T[g],q=k[S];if(Array.isArray(q[0])&&(q=k[g]),q.length===3?q=[q[0],q[1],q[2],1]:q.length===4&&(q=[q[0],q[1],q[2],q[3]],!this.hasAlpha&&q[3]<1&&(this.hasAlpha=!0)),!(isNaN(z[0][S])||isNaN(z[1][S]))){if(z[0][S]<0){var V=P.slice();V[S]+=z[0][S],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+m(L,V,q,S)}if(z[1][S]>0){var V=P.slice();V[S]+=z[1][S],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+m(L,V,q,S)}}}this.lineCount[S]=C-this.lineOffset[S]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(p){var k=p.gl,M=s(k),T=l(k,[{buffer:M,type:k.FLOAT,size:3,offset:0,stride:40},{buffer:M,type:k.FLOAT,size:4,offset:12,stride:40},{buffer:M,type:k.FLOAT,size:3,offset:28,stride:40}]),L=u(k);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var x=new f(k,M,T,L);return x.update(p),x}}),3436:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, offset;\n",
+       "attribute vec4 color;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float capSize;\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 fragPosition;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
+       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
+       "  gl_Position         = projection * (view * worldPosition);\n",
+       "  fragColor           = color;\n",
+       "  fragPosition        = position;\n",
+       "}`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float opacity;\n",
+       "varying vec3 fragPosition;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  gl_FragColor = opacity * fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}}),2260:(function(i,a,o){\"use strict\";var s=o(7766);i.exports=C;var l=null,u,c,f,h;function d(S){var g=S.getParameter(S.FRAMEBUFFER_BINDING),P=S.getParameter(S.RENDERBUFFER_BINDING),E=S.getParameter(S.TEXTURE_BINDING_2D);return[g,P,E]}function v(S,g){S.bindFramebuffer(S.FRAMEBUFFER,g[0]),S.bindRenderbuffer(S.RENDERBUFFER,g[1]),S.bindTexture(S.TEXTURE_2D,g[2])}function m(S,g){var P=S.getParameter(g.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var E=0;E<=P;++E){for(var z=new Array(P),q=0;q<E;++q)z[q]=S.COLOR_ATTACHMENT0+q;for(var q=E;q<P;++q)z[q]=S.NONE;l[E]=z}}function b(S){switch(S){case u:throw new Error(\"gl-fbo: Framebuffer unsupported\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case f:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case h:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function p(S,g,P,E,z,q){if(!E)return null;var V=s(S,g,P,z,E);return V.magFilter=S.NEAREST,V.minFilter=S.NEAREST,V.mipSamples=1,V.bind(),S.framebufferTexture2D(S.FRAMEBUFFER,q,S.TEXTURE_2D,V.handle,0),V}function k(S,g,P,E,z){var q=S.createRenderbuffer();return S.bindRenderbuffer(S.RENDERBUFFER,q),S.renderbufferStorage(S.RENDERBUFFER,E,g,P),S.framebufferRenderbuffer(S.FRAMEBUFFER,z,S.RENDERBUFFER,q),q}function M(S){var g=d(S.gl),P=S.gl,E=S.handle=P.createFramebuffer(),z=S._shape[0],q=S._shape[1],V=S.color.length,G=S._ext,Z=S._useStencil,j=S._useDepth,N=S._colorType;P.bindFramebuffer(P.FRAMEBUFFER,E);for(var H=0;H<V;++H)S.color[H]=p(P,z,q,N,P.RGBA,P.COLOR_ATTACHMENT0+H);V===0?(S._color_rb=k(P,z,q,P.RGBA4,P.COLOR_ATTACHMENT0),G&&G.drawBuffersWEBGL(l[0])):V>1&&G.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?Z?S.depth=p(P,z,q,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):j&&(S.depth=p(P,z,q,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):j&&Z?S._depth_rb=k(P,z,q,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):j?S._depth_rb=k(P,z,q,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):Z&&(S._depth_rb=k(P,z,q,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var ae=P.checkFramebufferStatus(P.FRAMEBUFFER);if(ae!==P.FRAMEBUFFER_COMPLETE){S._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(S.handle),S.handle=null,S.depth&&(S.depth.dispose(),S.depth=null),S._depth_rb&&(P.deleteRenderbuffer(S._depth_rb),S._depth_rb=null);for(var H=0;H<S.color.length;++H)S.color[H].dispose(),S.color[H]=null;S._color_rb&&(P.deleteRenderbuffer(S._color_rb),S._color_rb=null),v(P,g),b(ae)}v(P,g)}function T(S,g,P,E,z,q,V,G){this.gl=S,this._shape=[g|0,P|0],this._destroyed=!1,this._ext=G,this.color=new Array(z);for(var Z=0;Z<z;++Z)this.color[Z]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=E,this._useDepth=q,this._useStencil=V;var j=this,N=[g|0,P|0];Object.defineProperties(N,{0:{get:function(){return j._shape[0]},set:function(H){return j.width=H}},1:{get:function(){return j._shape[1]},set:function(H){return j.height=H}}}),this._shapeVector=N,M(this)}var L=T.prototype;function x(S,g,P){if(S._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(S._shape[0]===g&&S._shape[1]===P)){var E=S.gl,z=E.getParameter(E.MAX_RENDERBUFFER_SIZE);if(g<0||g>z||P<0||P>z)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");S._shape[0]=g,S._shape[1]=P;for(var q=d(E),V=0;V<S.color.length;++V)S.color[V].shape=S._shape;S._color_rb&&(E.bindRenderbuffer(E.RENDERBUFFER,S._color_rb),E.renderbufferStorage(E.RENDERBUFFER,E.RGBA4,S._shape[0],S._shape[1])),S.depth&&(S.depth.shape=S._shape),S._depth_rb&&(E.bindRenderbuffer(E.RENDERBUFFER,S._depth_rb),S._useDepth&&S._useStencil?E.renderbufferStorage(E.RENDERBUFFER,E.DEPTH_STENCIL,S._shape[0],S._shape[1]):S._useDepth?E.renderbufferStorage(E.RENDERBUFFER,E.DEPTH_COMPONENT16,S._shape[0],S._shape[1]):S._useStencil&&E.renderbufferStorage(E.RENDERBUFFER,E.STENCIL_INDEX,S._shape[0],S._shape[1])),E.bindFramebuffer(E.FRAMEBUFFER,S.handle);var G=E.checkFramebufferStatus(E.FRAMEBUFFER);G!==E.FRAMEBUFFER_COMPLETE&&(S.dispose(),v(E,q),b(G)),v(E,q)}}Object.defineProperties(L,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(S){if(Array.isArray(S)||(S=[S|0,S|0]),S.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var g=S[0]|0,P=S[1]|0;return x(this,g,P),[g,P]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(S){return S=S|0,x(this,S,this._shape[1]),S},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(S){return S=S|0,x(this,this._shape[0],S),S},enumerable:!1}}),L.bind=function(){if(!this._destroyed){var S=this.gl;S.bindFramebuffer(S.FRAMEBUFFER,this.handle),S.viewport(0,0,this._shape[0],this._shape[1])}},L.dispose=function(){if(!this._destroyed){this._destroyed=!0;var S=this.gl;S.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(S.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var g=0;g<this.color.length;++g)this.color[g].dispose(),this.color[g]=null;this._color_rb&&(S.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function C(S,g,P,E){u||(u=S.FRAMEBUFFER_UNSUPPORTED,c=S.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,f=S.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,h=S.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var z=S.getExtension(\"WEBGL_draw_buffers\");if(!l&&z&&m(S,z),Array.isArray(g)&&(E=P,P=g[1]|0,g=g[0]|0),typeof g!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var q=S.getParameter(S.MAX_RENDERBUFFER_SIZE);if(g<0||g>q||P<0||P>q)throw new Error(\"gl-fbo: Parameters are too large for FBO\");E=E||{};var V=1;if(\"color\"in E){if(V=Math.max(E.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(z){if(V>S.getParameter(z.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var G=S.UNSIGNED_BYTE,Z=S.getExtension(\"OES_texture_float\");if(E.float&&V>0){if(!Z)throw new Error(\"gl-fbo: Context does not support floating point textures\");G=S.FLOAT}else E.preferFloat&&V>0&&Z&&(G=S.FLOAT);var j=!0;\"depth\"in E&&(j=!!E.depth);var N=!1;return\"stencil\"in E&&(N=!!E.stencil),new T(S,g,P,G,V,j,N,z)}}),2992:(function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var m=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var p=s(`Error compiling %s shader %s:\n",
+       "`,b,m),k=s(\"%s%s\",p,h),M=h.split(`\n",
+       "`),T={},L=0;L<M.length;L++){var x=M[L];if(!(x===\"\"||x===\"\\0\")){var C=parseInt(x.split(\":\")[2]);if(isNaN(C))throw new Error(s(\"Could not parse error: %s\",x));T[C]=x}}for(var S=c(d).split(`\n",
+       "`),L=0;L<S.length;L++)if(!(!T[L+3]&&!T[L+2]&&!T[L+1])){var g=S[L];if(p+=g+`\n",
+       "`,T[L+1]){var P=T[L+1];P=P.substr(P.split(\":\",3).join(\":\").length+1).trim(),p+=s(`^^^ %s\n",
+       "\n",
+       "`,P)}}return{long:p.trim(),short:k.trim()}}}),7319:(function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, nextPosition;\n",
+       "attribute float arcLength, lineWidth;\n",
+       "attribute vec4 color;\n",
+       "\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float pixelRatio;\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 startPoint = project(position);\n",
+       "  vec4 endPoint   = project(nextPosition);\n",
+       "\n",
+       "  vec2 A = startPoint.xy / startPoint.w;\n",
+       "  vec2 B =   endPoint.xy /   endPoint.w;\n",
+       "\n",
+       "  float clipAngle = atan(\n",
+       "    (B.y - A.y) * screenShape.y,\n",
+       "    (B.x - A.x) * screenShape.x\n",
+       "  );\n",
+       "\n",
+       "  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n",
+       "    sin(clipAngle),\n",
+       "    -cos(clipAngle)\n",
+       "  ) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n",
+       "\n",
+       "  worldPosition = position;\n",
+       "  pixelArcLength = arcLength;\n",
+       "  fragColor = color;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3      clipBounds[2];\n",
+       "uniform sampler2D dashTexture;\n",
+       "uniform float     dashScale;\n",
+       "uniform float     opacity;\n",
+       "\n",
+       "varying vec3    worldPosition;\n",
+       "varying float   pixelArcLength;\n",
+       "varying vec4    fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n",
+       "  if(dashWeight < 0.5) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = fragColor * opacity;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "#define FLOAT_MAX  1.70141184e38\n",
+       "#define FLOAT_MIN  1.17549435e-38\n",
+       "\n",
+       "// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\n",
+       "vec4 packFloat(float v) {\n",
+       "  float av = abs(v);\n",
+       "\n",
+       "  //Handle special cases\n",
+       "  if(av < FLOAT_MIN) {\n",
+       "    return vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else if(v > FLOAT_MAX) {\n",
+       "    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  } else if(v < -FLOAT_MAX) {\n",
+       "    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  }\n",
+       "\n",
+       "  vec4 c = vec4(0,0,0,0);\n",
+       "\n",
+       "  //Compute exponent and mantissa\n",
+       "  float e = floor(log2(av));\n",
+       "  float m = av * pow(2.0, -e) - 1.0;\n",
+       "\n",
+       "  //Unpack mantissa\n",
+       "  c[1] = floor(128.0 * m);\n",
+       "  m -= c[1] / 128.0;\n",
+       "  c[2] = floor(32768.0 * m);\n",
+       "  m -= c[2] / 32768.0;\n",
+       "  c[3] = floor(8388608.0 * m);\n",
+       "\n",
+       "  //Unpack exponent\n",
+       "  float ebias = e + 127.0;\n",
+       "  c[0] = floor(ebias / 2.0);\n",
+       "  ebias -= c[0] * 2.0;\n",
+       "  c[1] += floor(ebias) * 128.0;\n",
+       "\n",
+       "  //Unpack sign bit\n",
+       "  c[0] += 128.0 * step(0.0, -v);\n",
+       "\n",
+       "  //Scale back to range\n",
+       "  return c / 255.0;\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform float pickId;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
+       "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}}),5714:(function(i,a,o){\"use strict\";i.exports=S;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(g,P,E,z){return c[0]=z,c[1]=E,c[2]=P,c[3]=g,f[0]}var d=o(2478),v=o(9618),m=o(7319),b=m.createShader,p=m.createPickShader,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function M(g,P){for(var E=0,z=0;z<3;++z){var q=g[z]-P[z];E+=q*q}return Math.sqrt(E)}function T(g){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],E=0;E<3;++E)P[0][E]=Math.max(g[0][E],P[0][E]),P[1][E]=Math.min(g[1][E],P[1][E]);return P}function L(g,P,E,z){this.arcLength=g,this.position=P,this.index=E,this.dataCoordinate=z}function x(g,P,E,z,q,V){this.gl=g,this.shader=P,this.pickShader=E,this.buffer=z,this.vao=q,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var C=x.prototype;C.isTransparent=function(){return this.hasAlpha},C.isOpaque=function(){return!this.hasAlpha},C.pickSlots=1,C.setPickBase=function(g){this.pickId=g},C.drawTransparent=C.draw=function(g){if(this.vertexCount){var P=this.gl,E=this.shader,z=this.vao;E.bind(),E.uniforms={model:g.model||k,view:g.view||k,projection:g.projection||k,clipBounds:T(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},C.drawPick=function(g){if(this.vertexCount){var P=this.gl,E=this.pickShader,z=this.vao;E.bind(),E.uniforms={model:g.model||k,view:g.view||k,projection:g.projection||k,pickId:this.pickId,clipBounds:T(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},C.update=function(g){var P,E;this.dirty=!0;var z=!!g.connectGaps;\"dashScale\"in g&&(this.dashScale=g.dashScale),this.hasAlpha=!1,\"opacity\"in g&&(this.opacity=+g.opacity,this.opacity<1&&(this.hasAlpha=!0));var q=[],V=[],G=[],Z=0,j=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=g.position||g.positions;if(H){var re=g.color||g.colors||[0,0,0,1],ae=g.lineWidth||1,_e=!1;e:for(P=1;P<H.length;++P){var Ee=H[P-1],Ce=H[P];for(V.push(Z),G.push(Ee.slice()),E=0;E<3;++E){if(isNaN(Ee[E])||isNaN(Ce[E])||!isFinite(Ee[E])||!isFinite(Ce[E])){if(!z&&q.length>0){for(var ge=0;ge<24;++ge)q.push(q[q.length-12]);j+=2,_e=!0}continue e}N[0][E]=Math.min(N[0][E],Ee[E],Ce[E]),N[1][E]=Math.max(N[1][E],Ee[E],Ce[E])}var ie,Se;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Se=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Se=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Se.length===3&&(Se=[Se[0],Se[1],Se[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var ke;Array.isArray(ae)?ke=ae.length>P-1?ae[P-1]:ae.length>0?ae[ae.length-1]:[0,0,0,1]:ke=ae;var be=Z;if(Z+=M(Ee,Ce),_e){for(E=0;E<2;++E)q.push(Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,ke,ie[0],ie[1],ie[2],ie[3]);j+=2,_e=!1}q.push(Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,ke,ie[0],ie[1],ie[2],ie[3],Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,-ke,ie[0],ie[1],ie[2],ie[3],Ce[0],Ce[1],Ce[2],Ee[0],Ee[1],Ee[2],Z,-ke,Se[0],Se[1],Se[2],Se[3],Ce[0],Ce[1],Ce[2],Ee[0],Ee[1],Ee[2],Z,ke,Se[0],Se[1],Se[2],Se[3]),j+=4}}if(this.buffer.update(q),V.push(Z),G.push(H[H.length-1].slice()),this.bounds=N,this.vertexCount=j,this.points=G,this.arcLength=V,\"dashes\"in g){var Be=g.dashes,Le=Be.slice();for(Le.unshift(0),P=1;P<Le.length;++P)Le[P]=Le[P-1]+Le[P];var me=v(new Array(256*4),[256,1,4]);for(P=0;P<256;++P){for(E=0;E<4;++E)me.set(P,0,E,0);d.le(Le,Le[Le.length-1]*P/255)&1?me.set(P,0,0,0):me.set(P,0,0,255)}this.texture.setPixels(me)}},C.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},C.pick=function(g){if(!g||g.id!==this.pickId)return null;var P=h(g.value[0],g.value[1],g.value[2],0),E=d.le(this.arcLength,P);if(E<0)return null;if(E===this.arcLength.length-1)return new L(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),E);for(var z=this.points[E],q=this.points[Math.min(E+1,this.points.length-1)],V=(P-this.arcLength[E])/(this.arcLength[E+1]-this.arcLength[E]),G=1-V,Z=[0,0,0],j=0;j<3;++j)Z[j]=G*z[j]+V*q[j];var N=Math.min(V<.5?E:E+1,this.points.length-1);return new L(P,Z,N,this.points[N])};function S(g){var P=g.gl||g.scene&&g.scene.gl,E=b(P);E.attributes.position.location=0,E.attributes.nextPosition.location=1,E.attributes.arcLength.location=2,E.attributes.lineWidth.location=3,E.attributes.color.location=4;var z=p(P);z.attributes.position.location=0,z.attributes.nextPosition.location=1,z.attributes.arcLength.location=2,z.attributes.lineWidth.location=3,z.attributes.color.location=4;for(var q=s(P),V=l(P,[{buffer:q,size:3,offset:0,stride:48},{buffer:q,size:3,offset:12,stride:48},{buffer:q,size:1,offset:24,stride:48},{buffer:q,size:1,offset:28,stride:48},{buffer:q,size:4,offset:32,stride:48}]),G=v(new Array(256*4),[256,1,4]),Z=0;Z<1024;++Z)G.data[Z]=255;var j=u(P,G);j.wrap=P.REPEAT;var N=new x(P,E,z,q,V,j);return N.update(g),N}}),1903:(function(i){i.exports=a;function a(o){var s=new Float32Array(16);return s[0]=o[0],s[1]=o[1],s[2]=o[2],s[3]=o[3],s[4]=o[4],s[5]=o[5],s[6]=o[6],s[7]=o[7],s[8]=o[8],s[9]=o[9],s[10]=o[10],s[11]=o[11],s[12]=o[12],s[13]=o[13],s[14]=o[14],s[15]=o[15],s}}),6864:(function(i){i.exports=a;function a(){var o=new Float32Array(16);return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),9921:(function(i){i.exports=a;function a(o){var s=o[0],l=o[1],u=o[2],c=o[3],f=o[4],h=o[5],d=o[6],v=o[7],m=o[8],b=o[9],p=o[10],k=o[11],M=o[12],T=o[13],L=o[14],x=o[15],C=s*h-l*f,S=s*d-u*f,g=s*v-c*f,P=l*d-u*h,E=l*v-c*h,z=u*v-c*d,q=m*T-b*M,V=m*L-p*M,G=m*x-k*M,Z=b*L-p*T,j=b*x-k*T,N=p*x-k*L;return C*N-S*j+g*Z+P*G-E*V+z*q}}),7399:(function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=l+l,d=u+u,v=c+c,m=l*h,b=u*h,p=u*d,k=c*h,M=c*d,T=c*v,L=f*h,x=f*d,C=f*v;return o[0]=1-p-T,o[1]=b+C,o[2]=k-x,o[3]=0,o[4]=b-C,o[5]=1-m-T,o[6]=M+L,o[7]=0,o[8]=k+x,o[9]=M-L,o[10]=1-m-p,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),6743:(function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=u+u,v=c+c,m=f+f,b=u*d,p=u*v,k=u*m,M=c*v,T=c*m,L=f*m,x=h*d,C=h*v,S=h*m;return o[0]=1-(M+L),o[1]=p+S,o[2]=k-C,o[3]=0,o[4]=p-S,o[5]=1-(b+L),o[6]=T+x,o[7]=0,o[8]=k+C,o[9]=T-x,o[10]=1-(b+M),o[11]=0,o[12]=l[0],o[13]=l[1],o[14]=l[2],o[15]=1,o}}),7894:(function(i){i.exports=a;function a(o){return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),7608:(function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=s[4],d=s[5],v=s[6],m=s[7],b=s[8],p=s[9],k=s[10],M=s[11],T=s[12],L=s[13],x=s[14],C=s[15],S=l*d-u*h,g=l*v-c*h,P=l*m-f*h,E=u*v-c*d,z=u*m-f*d,q=c*m-f*v,V=b*L-p*T,G=b*x-k*T,Z=b*C-M*T,j=p*x-k*L,N=p*C-M*L,H=k*C-M*x,re=S*H-g*N+P*j+E*Z-z*G+q*V;return re?(re=1/re,o[0]=(d*H-v*N+m*j)*re,o[1]=(c*N-u*H-f*j)*re,o[2]=(L*q-x*z+C*E)*re,o[3]=(k*z-p*q-M*E)*re,o[4]=(v*Z-h*H-m*G)*re,o[5]=(l*H-c*Z+f*G)*re,o[6]=(x*P-T*q-C*g)*re,o[7]=(b*q-k*P+M*g)*re,o[8]=(h*N-d*Z+m*V)*re,o[9]=(u*Z-l*N-f*V)*re,o[10]=(T*z-L*P+C*S)*re,o[11]=(p*P-b*z-M*S)*re,o[12]=(d*G-h*j-v*V)*re,o[13]=(l*j-u*G+c*V)*re,o[14]=(L*g-T*E-x*S)*re,o[15]=(b*E-p*g+k*S)*re,o):null}}),6582:(function(i,a,o){var s=o(7894);i.exports=l;function l(u,c,f,h){var d,v,m,b,p,k,M,T,L,x,C=c[0],S=c[1],g=c[2],P=h[0],E=h[1],z=h[2],q=f[0],V=f[1],G=f[2];return Math.abs(C-q)<1e-6&&Math.abs(S-V)<1e-6&&Math.abs(g-G)<1e-6?s(u):(M=C-q,T=S-V,L=g-G,x=1/Math.sqrt(M*M+T*T+L*L),M*=x,T*=x,L*=x,d=E*L-z*T,v=z*M-P*L,m=P*T-E*M,x=Math.sqrt(d*d+v*v+m*m),x?(x=1/x,d*=x,v*=x,m*=x):(d=0,v=0,m=0),b=T*m-L*v,p=L*d-M*m,k=M*v-T*d,x=Math.sqrt(b*b+p*p+k*k),x?(x=1/x,b*=x,p*=x,k*=x):(b=0,p=0,k=0),u[0]=d,u[1]=b,u[2]=M,u[3]=0,u[4]=v,u[5]=p,u[6]=T,u[7]=0,u[8]=m,u[9]=k,u[10]=L,u[11]=0,u[12]=-(d*C+v*S+m*g),u[13]=-(b*C+p*S+k*g),u[14]=-(M*C+T*S+L*g),u[15]=1,u)}}),6760:(function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=s[4],v=s[5],m=s[6],b=s[7],p=s[8],k=s[9],M=s[10],T=s[11],L=s[12],x=s[13],C=s[14],S=s[15],g=l[0],P=l[1],E=l[2],z=l[3];return o[0]=g*u+P*d+E*p+z*L,o[1]=g*c+P*v+E*k+z*x,o[2]=g*f+P*m+E*M+z*C,o[3]=g*h+P*b+E*T+z*S,g=l[4],P=l[5],E=l[6],z=l[7],o[4]=g*u+P*d+E*p+z*L,o[5]=g*c+P*v+E*k+z*x,o[6]=g*f+P*m+E*M+z*C,o[7]=g*h+P*b+E*T+z*S,g=l[8],P=l[9],E=l[10],z=l[11],o[8]=g*u+P*d+E*p+z*L,o[9]=g*c+P*v+E*k+z*x,o[10]=g*f+P*m+E*M+z*C,o[11]=g*h+P*b+E*T+z*S,g=l[12],P=l[13],E=l[14],z=l[15],o[12]=g*u+P*d+E*p+z*L,o[13]=g*c+P*v+E*k+z*x,o[14]=g*f+P*m+E*M+z*C,o[15]=g*h+P*b+E*T+z*S,o}}),4040:(function(i){i.exports=a;function a(o,s,l,u,c,f,h){var d=1/(s-l),v=1/(u-c),m=1/(f-h);return o[0]=-2*d,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=-2*v,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=2*m,o[11]=0,o[12]=(s+l)*d,o[13]=(c+u)*v,o[14]=(h+f)*m,o[15]=1,o}}),4772:(function(i){i.exports=a;function a(o,s,l,u,c){var f=1/Math.tan(s/2),h=1/(u-c);return o[0]=f/l,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=f,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=(c+u)*h,o[11]=-1,o[12]=0,o[13]=0,o[14]=2*c*u*h,o[15]=0,o}}),6079:(function(i){i.exports=a;function a(o,s,l,u){var c=u[0],f=u[1],h=u[2],d=Math.sqrt(c*c+f*f+h*h),v,m,b,p,k,M,T,L,x,C,S,g,P,E,z,q,V,G,Z,j,N,H,re,ae;return Math.abs(d)<1e-6?null:(d=1/d,c*=d,f*=d,h*=d,v=Math.sin(l),m=Math.cos(l),b=1-m,p=s[0],k=s[1],M=s[2],T=s[3],L=s[4],x=s[5],C=s[6],S=s[7],g=s[8],P=s[9],E=s[10],z=s[11],q=c*c*b+m,V=f*c*b+h*v,G=h*c*b-f*v,Z=c*f*b-h*v,j=f*f*b+m,N=h*f*b+c*v,H=c*h*b+f*v,re=f*h*b-c*v,ae=h*h*b+m,o[0]=p*q+L*V+g*G,o[1]=k*q+x*V+P*G,o[2]=M*q+C*V+E*G,o[3]=T*q+S*V+z*G,o[4]=p*Z+L*j+g*N,o[5]=k*Z+x*j+P*N,o[6]=M*Z+C*j+E*N,o[7]=T*Z+S*j+z*N,o[8]=p*H+L*re+g*ae,o[9]=k*H+x*re+P*ae,o[10]=M*H+C*re+E*ae,o[11]=T*H+S*re+z*ae,s!==o&&(o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o)}}),5567:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[4],h=s[5],d=s[6],v=s[7],m=s[8],b=s[9],p=s[10],k=s[11];return s!==o&&(o[0]=s[0],o[1]=s[1],o[2]=s[2],o[3]=s[3],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[4]=f*c+m*u,o[5]=h*c+b*u,o[6]=d*c+p*u,o[7]=v*c+k*u,o[8]=m*c-f*u,o[9]=b*c-h*u,o[10]=p*c-d*u,o[11]=k*c-v*u,o}}),2408:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],m=s[8],b=s[9],p=s[10],k=s[11];return s!==o&&(o[4]=s[4],o[5]=s[5],o[6]=s[6],o[7]=s[7],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c-m*u,o[1]=h*c-b*u,o[2]=d*c-p*u,o[3]=v*c-k*u,o[8]=f*u+m*c,o[9]=h*u+b*c,o[10]=d*u+p*c,o[11]=v*u+k*c,o}}),7089:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],m=s[4],b=s[5],p=s[6],k=s[7];return s!==o&&(o[8]=s[8],o[9]=s[9],o[10]=s[10],o[11]=s[11],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c+m*u,o[1]=h*c+b*u,o[2]=d*c+p*u,o[3]=v*c+k*u,o[4]=m*c-f*u,o[5]=b*c-h*u,o[6]=p*c-d*u,o[7]=k*c-v*u,o}}),2504:(function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2];return o[0]=s[0]*u,o[1]=s[1]*u,o[2]=s[2]*u,o[3]=s[3]*u,o[4]=s[4]*c,o[5]=s[5]*c,o[6]=s[6]*c,o[7]=s[7]*c,o[8]=s[8]*f,o[9]=s[9]*f,o[10]=s[10]*f,o[11]=s[11]*f,o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15],o}}),7656:(function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2],h,d,v,m,b,p,k,M,T,L,x,C;return s===o?(o[12]=s[0]*u+s[4]*c+s[8]*f+s[12],o[13]=s[1]*u+s[5]*c+s[9]*f+s[13],o[14]=s[2]*u+s[6]*c+s[10]*f+s[14],o[15]=s[3]*u+s[7]*c+s[11]*f+s[15]):(h=s[0],d=s[1],v=s[2],m=s[3],b=s[4],p=s[5],k=s[6],M=s[7],T=s[8],L=s[9],x=s[10],C=s[11],o[0]=h,o[1]=d,o[2]=v,o[3]=m,o[4]=b,o[5]=p,o[6]=k,o[7]=M,o[8]=T,o[9]=L,o[10]=x,o[11]=C,o[12]=h*u+b*c+T*f+s[12],o[13]=d*u+p*c+L*f+s[13],o[14]=v*u+k*c+x*f+s[14],o[15]=m*u+M*c+C*f+s[15]),o}}),5665:(function(i){i.exports=a;function a(o,s){if(o===s){var l=s[1],u=s[2],c=s[3],f=s[6],h=s[7],d=s[11];o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=l,o[6]=s[9],o[7]=s[13],o[8]=u,o[9]=f,o[11]=s[14],o[12]=c,o[13]=h,o[14]=d}else o[0]=s[0],o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=s[1],o[5]=s[5],o[6]=s[9],o[7]=s[13],o[8]=s[2],o[9]=s[6],o[10]=s[10],o[11]=s[14],o[12]=s[3],o[13]=s[7],o[14]=s[11],o[15]=s[15];return o}}),7626:(function(i,a,o){\"use strict\";var s=o(2642),l=o(9346);i.exports=d;function u(v,m){for(var b=[0,0,0,0],p=0;p<4;++p)for(var k=0;k<4;++k)b[k]+=v[4*p+k]*m[p];return b}function c(v,m,b,p,k){for(var M=u(p,u(b,u(m,[v[0],v[1],v[2],1]))),T=0;T<3;++T)M[T]/=M[3];return[.5*k[0]*(1+M[0]),.5*k[1]*(1-M[1])]}function f(v,m){if(v.length===2){for(var b=0,p=0,k=0;k<2;++k)b+=Math.pow(m[k]-v[0][k],2),p+=Math.pow(m[k]-v[1][k],2);return b=Math.sqrt(b),p=Math.sqrt(p),b+p<1e-6?[1,0]:[p/(b+p),b/(p+b)]}else if(v.length===3){var M=[0,0];return l(v[0],v[1],v[2],m,M),s(v,M)}return[]}function h(v,m){for(var b=[0,0,0],p=0;p<v.length;++p)for(var k=v[p],M=m[p],T=0;T<3;++T)b[T]+=M*k[T];return b}function d(v,m,b,p,k,M){if(v.length===1)return[0,v[0].slice()];for(var T=new Array(v.length),L=0;L<v.length;++L)T[L]=c(v[L],b,p,k,M);for(var x=0,C=1/0,L=0;L<T.length;++L){for(var S=0,g=0;g<2;++g)S+=Math.pow(T[L][g]-m[g],2);S<C&&(C=S,x=L)}for(var P=f(T,m),E=0,L=0;L<3;++L){if(P[L]<-.001||P[L]>1.0001)return null;E+=P[L]}return Math.abs(E-1)>.001?null:[x,h(v,P),P]}}),840:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, normal;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model\n",
+       "           , view\n",
+       "           , projection\n",
+       "           , inverseModel;\n",
+       "uniform vec3 eyePosition\n",
+       "           , lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position      = project(position);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * vec4(position , 1.0);\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = position;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness\n",
+       "            , fresnel\n",
+       "            , kambient\n",
+       "            , kdiffuse\n",
+       "            , kspecular;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (f_color.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], f_data)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n",
+       "\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * f_color.a;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_color = color;\n",
+       "  f_data  = position;\n",
+       "  f_uv    = uv;\n",
+       "}`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
+       "\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "attribute float pointSize;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n",
+       "  } else {\n",
+       "    gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  }\n",
+       "  gl_PointSize = pointSize;\n",
+       "  f_color = color;\n",
+       "  f_uv = uv;\n",
+       "}`]),d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n",
+       "  if(dot(pointR, pointR) > 0.25) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_id        = id;\n",
+       "  f_position  = position;\n",
+       "}`]),m=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]),b=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3  position;\n",
+       "attribute float pointSize;\n",
+       "attribute vec4  id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else {\n",
+       "    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\n",
+       "    gl_PointSize = pointSize;\n",
+       "  }\n",
+       "  f_id         = id;\n",
+       "  f_position   = position;\n",
+       "}`]),p=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "}`]),k=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec3 contourColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = vec4(contourColor, 1.0);\n",
+       "}\n",
+       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:m,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:m,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:p,fragment:k,attributes:[{name:\"position\",type:\"vec3\"}]}}),7201:(function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),m=o(7608),b=o(9618),p=o(6729),k=o(7765),M=o(1888),T=o(840),L=o(7626),x=T.meshShader,C=T.wireShader,S=T.pointShader,g=T.pickShader,P=T.pointPickShader,E=T.contourShader,z=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function q(ge,ie,Se,ke,be,Be,Le,me,Pe,ce,He,lt,mt,Ht,at,ct,ar,Vt,rr,tt,je,Ue,Ae,rt,St,Tt,dt){this.gl=ge,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Se,this.lineShader=ke,this.pointShader=be,this.pickShader=Be,this.pointPickShader=Le,this.contourShader=me,this.trianglePositions=Pe,this.triangleColors=He,this.triangleNormals=mt,this.triangleUVs=lt,this.triangleIds=ce,this.triangleVAO=Ht,this.triangleCount=0,this.lineWidth=1,this.edgePositions=at,this.edgeColors=ar,this.edgeUVs=Vt,this.edgeIds=ct,this.edgeVAO=rr,this.edgeCount=0,this.pointPositions=tt,this.pointColors=Ue,this.pointUVs=Ae,this.pointSizes=rt,this.pointIds=je,this.pointVAO=St,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Tt,this.contourVAO=dt,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=z,this._view=z,this._projection=z,this._resolution=[1,1]}var V=q.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(ge){this.pickId=ge};function G(ge,ie){if(!ie||!ie.length)return 1;for(var Se=0;Se<ie.length;++Se){if(ie.length<2)return 1;if(ie[Se][0]===ge)return ie[Se][1];if(ie[Se][0]>ge&&Se>0){var ke=(ie[Se][0]-ge)/(ie[Se][0]-ie[Se-1][0]);return ie[Se][1]*(1-ke)+ke*ie[Se-1][1]}}return 1}function Z(ge,ie){for(var Se=p({colormap:ge,nshades:256,format:\"rgba\"}),ke=new Uint8Array(256*4),be=0;be<256;++be){for(var Be=Se[be],Le=0;Le<3;++Le)ke[4*be+Le]=Be[Le];ie?ke[4*be+3]=255*G(be/255,ie):ke[4*be+3]=255*Be[3]}return b(ke,[256,256,4],[4,0,1])}function j(ge){for(var ie=ge.length,Se=new Array(ie),ke=0;ke<ie;++ke)Se[ke]=ge[ke][2];return Se}V.highlight=function(ge){if(!ge||!this.contourEnable){this.contourCount=0;return}for(var ie=k(this.cells,this.intensity,ge.intensity),Se=ie.cells,ke=ie.vertexIds,be=ie.vertexWeights,Be=Se.length,Le=M.mallocFloat32(6*Be),me=0,Pe=0;Pe<Be;++Pe)for(var ce=Se[Pe],He=0;He<2;++He){var lt=ce[0];ce.length===2&&(lt=ce[He]);for(var mt=ke[lt][0],Ht=ke[lt][1],at=be[lt],ct=1-at,ar=this.positions[mt],Vt=this.positions[Ht],rr=0;rr<3;++rr)Le[me++]=at*ar[rr]+ct*Vt[rr]}this.contourCount=me/3|0,this.contourPositions.update(Le.subarray(0,me)),M.free(Le)},V.update=function(ge){ge=ge||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in ge&&(this.contourEnable=ge.contourEnable),\"contourColor\"in ge&&(this.contourColor=ge.contourColor),\"lineWidth\"in ge&&(this.lineWidth=ge.lineWidth),\"lightPosition\"in ge&&(this.lightPosition=ge.lightPosition),this.hasAlpha=!1,\"opacity\"in ge&&(this.opacity=ge.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in ge&&(this.opacityscale=ge.opacityscale,this.hasAlpha=!0),\"ambient\"in ge&&(this.ambientLight=ge.ambient),\"diffuse\"in ge&&(this.diffuseLight=ge.diffuse),\"specular\"in ge&&(this.specularLight=ge.specular),\"roughness\"in ge&&(this.roughness=ge.roughness),\"fresnel\"in ge&&(this.fresnel=ge.fresnel),ge.texture?(this.texture.dispose(),this.texture=h(ie,ge.texture)):ge.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(Z(ge.colormap,this.opacityscale)),this.texture.generateMipmap());var Se=ge.cells,ke=ge.positions;if(!(!ke||!Se)){var be=[],Be=[],Le=[],me=[],Pe=[],ce=[],He=[],lt=[],mt=[],Ht=[],at=[],ct=[],ar=[],Vt=[];this.cells=Se,this.positions=ke;var rr=ge.vertexNormals,tt=ge.cellNormals,je=ge.vertexNormalsEpsilon===void 0?s:ge.vertexNormalsEpsilon,Ue=ge.faceNormalsEpsilon===void 0?l:ge.faceNormalsEpsilon;ge.useFacetNormals&&!tt&&(tt=d.faceNormals(Se,ke,Ue)),!tt&&!rr&&(rr=d.vertexNormals(Se,ke,je));var Ae=ge.vertexColors,rt=ge.cellColors,St=ge.meshColor||[1,1,1,1],Tt=ge.vertexUVs,dt=ge.vertexIntensity,Et=ge.cellUVs,pt=ge.cellIntensity,jt=1/0,or=-1/0;if(!Tt&&!Et)if(dt)if(ge.vertexIntensityBounds)jt=+ge.vertexIntensityBounds[0],or=+ge.vertexIntensityBounds[1];else for(var mr=0;mr<dt.length;++mr){var Ar=dt[mr];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}else if(pt)if(ge.cellIntensityBounds)jt=+ge.cellIntensityBounds[0],or=+ge.cellIntensityBounds[1];else for(var mr=0;mr<pt.length;++mr){var Ar=pt[mr];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}else for(var mr=0;mr<ke.length;++mr){var Ar=ke[mr][2];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}dt?this.intensity=dt:pt?this.intensity=pt:this.intensity=j(ke),this.pickVertex=!(pt||rt);var ei=ge.pointSizes,qr=ge.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var mr=0;mr<ke.length;++mr)for(var jr=ke[mr],gt=0;gt<3;++gt)isNaN(jr[gt])||!isFinite(jr[gt])||(this.bounds[0][gt]=Math.min(this.bounds[0][gt],jr[gt]),this.bounds[1][gt]=Math.max(this.bounds[1][gt],jr[gt]));var Ge=0,Je=0,We=0;e:for(var mr=0;mr<Se.length;++mr){var et=Se[mr];switch(et.length){case 1:for(var xt=et[0],jr=ke[xt],gt=0;gt<3;++gt)if(isNaN(jr[gt])||!isFinite(jr[gt]))continue e;Ht.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?at.push(At[0],At[1],At[2],this.opacity):(at.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0));var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],ct.push(Kt[0],Kt[1]),ei?ar.push(ei[xt]):ar.push(qr),Vt.push(mr),We+=1;break;case 2:for(var gt=0;gt<2;++gt)for(var xt=et[gt],jr=ke[xt],Qt=0;Qt<3;++Qt)if(isNaN(jr[Qt])||!isFinite(jr[Qt]))continue e;for(var gt=0;gt<2;++gt){var xt=et[gt],jr=ke[xt];ce.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?He.push(At[0],At[1],At[2],this.opacity):(He.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0));var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],lt.push(Kt[0],Kt[1]),mt.push(mr)}Je+=1;break;case 3:for(var gt=0;gt<3;++gt)for(var xt=et[gt],jr=ke[xt],Qt=0;Qt<3;++Qt)if(isNaN(jr[Qt])||!isFinite(jr[Qt]))continue e;for(var gt=0;gt<3;++gt){var xt=et[2-gt],jr=ke[xt];be.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,At?this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?Be.push(At[0],At[1],At[2],this.opacity):(Be.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0)):Be.push(.5,.5,.5,1);var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],me.push(Kt[0],Kt[1]);var Mr;rr?Mr=rr[xt]:Mr=tt[mr],Le.push(Mr[0],Mr[1],Mr[2]),Pe.push(mr)}Ge+=1;break;default:break}}this.pointCount=We,this.edgeCount=Je,this.triangleCount=Ge,this.pointPositions.update(Ht),this.pointColors.update(at),this.pointUVs.update(ct),this.pointSizes.update(ar),this.pointIds.update(new Uint32Array(Vt)),this.edgePositions.update(ce),this.edgeColors.update(He),this.edgeUVs.update(lt),this.edgeIds.update(new Uint32Array(mt)),this.trianglePositions.update(be),this.triangleColors.update(Be),this.triangleUVs.update(me),this.triangleNormals.update(Le),this.triangleIds.update(new Uint32Array(Pe))}},V.drawTransparent=V.draw=function(ge){ge=ge||{};for(var ie=this.gl,Se=ge.model||z,ke=ge.view||z,be=ge.projection||z,Be=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Le=0;Le<3;++Le)Be[0][Le]=Math.max(Be[0][Le],this.clipBounds[0][Le]),Be[1][Le]=Math.min(Be[1][Le],this.clipBounds[1][Le]);var me={model:Se,view:ke,projection:be,inverseModel:z.slice(),clipBounds:Be,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};me.inverseModel=m(me.inverseModel,me.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Pe=new Array(16);v(Pe,me.view,me.model),v(Pe,me.projection,Pe),m(Pe,Pe);for(var Le=0;Le<3;++Le)me.eyePosition[Le]=Pe[12+Le]/Pe[15];for(var ce=Pe[15],Le=0;Le<3;++Le)ce+=this.lightPosition[Le]*Pe[4*Le+3];for(var Le=0;Le<3;++Le){for(var He=Pe[12+Le],lt=0;lt<3;++lt)He+=Pe[4*lt+Le]*this.lightPosition[lt];me.lightPosition[Le]=He/ce}if(this.triangleCount>0){var mt=this.triShader;mt.bind(),mt.uniforms=me,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var mt=this.lineShader;mt.bind(),mt.uniforms=me,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var mt=this.pointShader;mt.bind(),mt.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var mt=this.contourShader;mt.bind(),mt.uniforms=me,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(ge){ge=ge||{};for(var ie=this.gl,Se=ge.model||z,ke=ge.view||z,be=ge.projection||z,Be=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Le=0;Le<3;++Le)Be[0][Le]=Math.max(Be[0][Le],this.clipBounds[0][Le]),Be[1][Le]=Math.min(Be[1][Le],this.clipBounds[1][Le]);this._model=[].slice.call(Se),this._view=[].slice.call(ke),this._projection=[].slice.call(be),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var me={model:Se,view:ke,projection:be,clipBounds:Be,pickId:this.pickId/255},Pe=this.pickShader;if(Pe.bind(),Pe.uniforms=me,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Pe=this.pointPickShader;Pe.bind(),Pe.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(ge){if(!ge||ge.id!==this.pickId)return null;for(var ie=ge.value[0]+256*ge.value[1]+65536*ge.value[2],Se=this.cells[ie],ke=this.positions,be=new Array(Se.length),Be=0;Be<Se.length;++Be)be[Be]=ke[Se[Be]];var Le=ge.coord[0],me=ge.coord[1];if(!this.pickVertex){var Pe=this.positions[Se[0]],ce=this.positions[Se[1]],He=this.positions[Se[2]],lt=[(Pe[0]+ce[0]+He[0])/3,(Pe[1]+ce[1]+He[1])/3,(Pe[2]+ce[2]+He[2])/3];return{_cellCenter:!0,position:[Le,me],index:ie,cell:Se,cellId:ie,intensity:this.intensity[ie],dataCoordinate:lt}}var mt=L(be,[Le*this.pixelRatio,this._resolution[1]-me*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!mt)return null;for(var Ht=mt[2],at=0,Be=0;Be<Se.length;++Be)at+=Ht[Be]*this.intensity[Se[Be]];return{position:mt[1],index:Se[mt[0]],cell:Se,cellId:ie,intensity:at,dataCoordinate:this.positions[Se[mt[0]]]}},V.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()};function N(ge){var ie=u(ge,x.vertex,x.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function H(ge){var ie=u(ge,C.vertex,C.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function re(ge){var ie=u(ge,S.vertex,S.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function ae(ge){var ie=u(ge,g.vertex,g.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(ge){var ie=u(ge,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Ee(ge){var ie=u(ge,E.vertex,E.fragment);return ie.attributes.position.location=0,ie}function Ce(ge,ie){arguments.length===1&&(ie=ge,ge=ie.gl);var Se=ge.getExtension(\"OES_standard_derivatives\")||ge.getExtension(\"MOZ_OES_standard_derivatives\")||ge.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Se)throw new Error(\"derivatives not supported\");var ke=N(ge),be=H(ge),Be=re(ge),Le=ae(ge),me=_e(ge),Pe=Ee(ge),ce=h(ge,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=ge.LINEAR_MIPMAP_LINEAR,ce.magFilter=ge.LINEAR;var He=c(ge),lt=c(ge),mt=c(ge),Ht=c(ge),at=c(ge),ct=f(ge,[{buffer:He,type:ge.FLOAT,size:3},{buffer:at,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:lt,type:ge.FLOAT,size:4},{buffer:mt,type:ge.FLOAT,size:2},{buffer:Ht,type:ge.FLOAT,size:3}]),ar=c(ge),Vt=c(ge),rr=c(ge),tt=c(ge),je=f(ge,[{buffer:ar,type:ge.FLOAT,size:3},{buffer:tt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Vt,type:ge.FLOAT,size:4},{buffer:rr,type:ge.FLOAT,size:2}]),Ue=c(ge),Ae=c(ge),rt=c(ge),St=c(ge),Tt=c(ge),dt=f(ge,[{buffer:Ue,type:ge.FLOAT,size:3},{buffer:Tt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Ae,type:ge.FLOAT,size:4},{buffer:rt,type:ge.FLOAT,size:2},{buffer:St,type:ge.FLOAT,size:1}]),Et=c(ge),pt=f(ge,[{buffer:Et,type:ge.FLOAT,size:3}]),jt=new q(ge,ce,ke,be,Be,Le,me,Pe,He,at,lt,mt,Ht,ct,ar,tt,Vt,rr,je,Ue,Tt,Ae,rt,St,dt,Et,pt);return jt.update(ie),jt}i.exports=Ce}),4437:(function(i,a,o){\"use strict\";i.exports=d;var s=o(3025),l=o(6296),u=o(351),c=o(8512),f=o(24),h=o(7520);function d(v,m){v=v||document.body,m=m||{};var b=[.01,1/0];\"distanceLimits\"in m&&(b[0]=m.distanceLimits[0],b[1]=m.distanceLimits[1]),\"zoomMin\"in m&&(b[0]=m.zoomMin),\"zoomMax\"in m&&(b[1]=m.zoomMax);var p=l({center:m.center||[0,0,0],up:m.up||[0,1,0],eye:m.eye||[0,0,10],mode:m.mode||\"orbit\",distanceLimits:b}),k=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],M=0,T=v.clientWidth,L=v.clientHeight,x={keyBindingMode:\"rotate\",enableWheel:!0,view:p,element:v,delay:m.delay||16,rotateSpeed:m.rotateSpeed||1,zoomSpeed:m.zoomSpeed||1,translateSpeed:m.translateSpeed||1,flipX:!!m.flipX,flipY:!!m.flipY,modes:p.modes,_ortho:m._ortho||m.projection&&m.projection.type===\"orthographic\"||!1,tick:function(){var C=s(),S=this.delay,g=C-2*S;p.idle(C-S),p.recalcMatrix(g),p.flush(C-(100+S*2));for(var P=!0,E=p.computedMatrix,z=0;z<16;++z)P=P&&k[z]===E[z],k[z]=E[z];var q=v.clientWidth===T&&v.clientHeight===L;return T=v.clientWidth,L=v.clientHeight,P?!q:(M=Math.exp(p.computedRadius[0]),!0)},lookAt:function(C,S,g){p.lookAt(p.lastT(),C,S,g)},rotate:function(C,S,g){p.rotate(p.lastT(),C,S,g)},pan:function(C,S,g){p.pan(p.lastT(),C,S,g)},translate:function(C,S,g){p.translate(p.lastT(),C,S,g)}};return Object.defineProperties(x,{matrix:{get:function(){return p.computedMatrix},set:function(C){return p.setMatrix(p.lastT(),C),p.computedMatrix},enumerable:!0},mode:{get:function(){return p.getMode()},set:function(C){var S=p.computedUp.slice(),g=p.computedEye.slice(),P=p.computedCenter.slice();if(p.setMode(C),C===\"turntable\"){var E=s();p._active.lookAt(E,g,P,S),p._active.lookAt(E+500,g,P,[0,0,1]),p._active.flush(E)}return p.getMode()},enumerable:!0},center:{get:function(){return p.computedCenter},set:function(C){return p.lookAt(p.lastT(),null,C),p.computedCenter},enumerable:!0},eye:{get:function(){return p.computedEye},set:function(C){return p.lookAt(p.lastT(),C),p.computedEye},enumerable:!0},up:{get:function(){return p.computedUp},set:function(C){return p.lookAt(p.lastT(),null,null,C),p.computedUp},enumerable:!0},distance:{get:function(){return M},set:function(C){return p.setDistance(p.lastT(),C),C},enumerable:!0},distanceLimits:{get:function(){return p.getDistanceLimits(b)},set:function(C){return p.setDistanceLimits(C),C},enumerable:!0}}),v.addEventListener(\"contextmenu\",function(C){return C.preventDefault(),!1}),x._lastX=-1,x._lastY=-1,x._lastMods={shift:!1,control:!1,alt:!1,meta:!1},x.enableMouseListeners=function(){x.mouseListener=u(v,C),v.addEventListener(\"touchstart\",function(S){var g=f(S.changedTouches[0],v);C(0,g[0],g[1],x._lastMods),C(1,g[0],g[1],x._lastMods)},h?{passive:!0}:!1),v.addEventListener(\"touchmove\",function(S){var g=f(S.changedTouches[0],v);C(1,g[0],g[1],x._lastMods),S.preventDefault()},h?{passive:!1}:!1),v.addEventListener(\"touchend\",function(S){C(0,x._lastX,x._lastY,x._lastMods)},h?{passive:!0}:!1);function C(S,g,P,E){var z=x.keyBindingMode;if(z!==!1){var q=z===\"rotate\",V=z===\"pan\",G=z===\"zoom\",Z=!!E.control,j=!!E.alt,N=!!E.shift,H=!!(S&1),re=!!(S&2),ae=!!(S&4),_e=1/v.clientHeight,Ee=_e*(g-x._lastX),Ce=_e*(P-x._lastY),ge=x.flipX?1:-1,ie=x.flipY?1:-1,Se=Math.PI*x.rotateSpeed,ke=s();if(x._lastX!==-1&&x._lastY!==-1&&((q&&H&&!Z&&!j&&!N||H&&!Z&&!j&&N)&&p.rotate(ke,ge*Se*Ee,-ie*Se*Ce,0),(V&&H&&!Z&&!j&&!N||re||H&&Z&&!j&&!N)&&p.pan(ke,-x.translateSpeed*Ee*M,x.translateSpeed*Ce*M,0),G&&H&&!Z&&!j&&!N||ae||H&&!Z&&j&&!N)){var be=-x.zoomSpeed*Ce/window.innerHeight*(ke-p.lastT())*100;p.pan(ke,0,0,M*(Math.exp(be)-1))}return x._lastX=g,x._lastY=P,x._lastMods=E,!0}}x.wheelListener=c(v,function(S,g){if(x.keyBindingMode!==!1&&x.enableWheel){var P=x.flipX?1:-1,E=x.flipY?1:-1,z=s();if(Math.abs(S)>Math.abs(g))p.rotate(z,0,0,-S*P*Math.PI*x.rotateSpeed/window.innerWidth);else if(!x._ortho){var q=-x.zoomSpeed*E*g/window.innerHeight*(z-p.lastT())/20;p.pan(z,0,0,M*(Math.exp(q)-1))}}},!0)},x.enableMouseListeners(),x}}),799:(function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "attribute vec2 position;\n",
+       "varying vec2 uv;\n",
+       "void main() {\n",
+       "  uv = position;\n",
+       "  gl_Position = vec4(position, 0, 1);\n",
+       "}`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D accumBuffer;\n",
+       "varying vec2 uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
+       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}}),4100:(function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),m=o(4772),b=o(4040),p=o(799),k=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:C,createCamera:s};function M(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function T(g,P){var E=null;try{E=g.getContext(\"webgl\",P),E||(E=g.getContext(\"experimental-webgl\",P))}catch(z){return null}return E}function L(g){var P=Math.round(Math.log(Math.abs(g))/Math.log(10));if(P<0){var E=Math.round(Math.pow(10,-P));return Math.ceil(g*E)/E}else if(P>0){var E=Math.round(Math.pow(10,P));return Math.ceil(g/E)*E}return Math.ceil(g)}function x(g){return typeof g==\"boolean\"?g:!0}function C(g){g=g||{},g.camera=g.camera||{};var P=g.canvas;if(!P)if(P=document.createElement(\"canvas\"),g.container){var E=g.container;E.appendChild(P)}else document.body.appendChild(P);var z=g.gl;if(z||(g.glOptions&&(k=!!g.glOptions.preserveDrawingBuffer),z=T(P,g.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:k})),!z)throw new Error(\"webgl not supported\");var q=g.bounds||[[-10,-10,-10],[10,10,10]],V=new M,G=h(z,z.drawingBufferWidth,z.drawingBufferHeight,{preferFloat:!k}),Z=p(z),j=g.cameraObject&&g.cameraObject._ortho===!0||g.camera.projection&&g.camera.projection.type===\"orthographic\"||!1,N={eye:g.camera.eye||[2,0,0],center:g.camera.center||[0,0,0],up:g.camera.up||[0,1,0],zoomMin:g.camera.zoomMax||.1,zoomMax:g.camera.zoomMin||100,mode:g.camera.mode||\"turntable\",_ortho:j},H=g.axes||{},re=l(z,H);re.enable=!H.disable;var ae=g.spikes||{},_e=c(z,ae),Ee=[],Ce=[],ge=[],ie=[],Se=!0,Le=!0,ke=new Array(16),be=new Array(16),Be={view:null,projection:ke,model:be,_ortho:!1},Le=!0,me=[z.drawingBufferWidth,z.drawingBufferHeight],Pe=g.cameraObject||s(P,N),ce={gl:z,contextLost:!1,pixelRatio:g.pixelRatio||1,canvas:P,selection:V,camera:Pe,axes:re,axesPixels:null,spikes:_e,bounds:q,objects:Ee,shape:me,aspect:g.aspectRatio||[1,1,1],pickRadius:g.pickRadius||10,zNear:g.zNear||.01,zFar:g.zFar||1e3,fovy:g.fovy||Math.PI/4,clearColor:g.clearColor||[0,0,0,0],autoResize:x(g.autoResize),autoBounds:x(g.autoBounds),autoScale:!!g.autoScale,autoCenter:x(g.autoCenter),clipToBounds:x(g.clipToBounds),snapToData:!!g.snapToData,onselect:g.onselect||null,onrender:g.onrender||null,onclick:g.onclick||null,cameraParams:Be,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(tt){this.aspect[0]=tt.x,this.aspect[1]=tt.y,this.aspect[2]=tt.z,Le=!0},setBounds:function(tt,je){this.bounds[0][tt]=je.min,this.bounds[1][tt]=je.max},setClearColor:function(tt){this.clearColor=tt},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},He=[z.drawingBufferWidth/ce.pixelRatio|0,z.drawingBufferHeight/ce.pixelRatio|0];function lt(){if(!ce._stopped&&ce.autoResize){var tt=P.parentNode,je=1,Ue=1;tt&&tt!==document.body?(je=tt.clientWidth,Ue=tt.clientHeight):(je=window.innerWidth,Ue=window.innerHeight);var Ae=Math.ceil(je*ce.pixelRatio)|0,rt=Math.ceil(Ue*ce.pixelRatio)|0;if(Ae!==P.width||rt!==P.height){P.width=Ae,P.height=rt;var St=P.style;St.position=St.position||\"absolute\",St.left=\"0px\",St.top=\"0px\",St.width=je+\"px\",St.height=Ue+\"px\",Se=!0}}}ce.autoResize&&lt(),window.addEventListener(\"resize\",lt);function mt(){for(var tt=Ee.length,je=ie.length,Ue=0;Ue<je;++Ue)ge[Ue]=0;e:for(var Ue=0;Ue<tt;++Ue){var Ae=Ee[Ue],rt=Ae.pickSlots;if(!rt){Ce[Ue]=-1;continue}for(var St=0;St<je;++St)if(ge[St]+rt<255){Ce[Ue]=St,Ae.setPickBase(ge[St]+1),ge[St]+=rt;continue e}var Tt=f(z,me);Ce[Ue]=je,ie.push(Tt),ge.push(rt),Ae.setPickBase(1),je+=1}for(;je>0&&ge[je-1]===0;)ge.pop(),ie.pop().dispose()}ce.update=function(tt){ce._stopped||(tt=tt||{},Se=!0,Le=!0)},ce.add=function(tt){ce._stopped||(tt.axes=re,Ee.push(tt),Ce.push(-1),Se=!0,Le=!0,mt())},ce.remove=function(tt){if(!ce._stopped){var je=Ee.indexOf(tt);je<0||(Ee.splice(je,1),Ce.pop(),Se=!0,Le=!0,mt())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",lt),P.removeEventListener(\"webglcontextlost\",Ht),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var tt=0;tt<Ee.length;++tt)Ee[tt].dispose();G.dispose();for(var tt=0;tt<ie.length;++tt)ie[tt].dispose();Z.dispose(),z=null,re=null,_e=null,Ee=[]}},ce._mouseRotating=!1,ce._prevButtons=0,ce.enableMouseListeners=function(){ce.mouseListener=v(P,function(tt,je,Ue){if(!ce._stopped){var Ae=ie.length,rt=Ee.length,St=V.object;V.distance=1/0,V.mouse[0]=je,V.mouse[1]=Ue,V.object=null,V.screen=null,V.dataCoordinate=V.dataPosition=null;var Tt=!1;if(tt&&ce._prevButtons)ce._mouseRotating=!0;else{ce._mouseRotating&&(Le=!0),ce._mouseRotating=!1;for(var dt=0;dt<Ae;++dt){var Et=ie[dt].query(je,He[1]-Ue-1,ce.pickRadius);if(Et){if(Et.distance>V.distance)continue;for(var pt=0;pt<rt;++pt){var jt=Ee[pt];if(Ce[pt]===dt){var or=jt.pick(Et);or&&(V.buttons=tt,V.screen=Et.coord,V.distance=Et.distance,V.object=jt,V.index=or.distance,V.dataPosition=or.position,V.dataCoordinate=or.dataCoordinate,V.data=or,Tt=!0)}}}}}St&&St!==V.object&&(St.highlight&&St.highlight(null),Se=!0),V.object&&(V.object.highlight&&V.object.highlight(V.data),Se=!0),Tt=Tt||V.object!==St,Tt&&ce.onselect&&ce.onselect(V),tt&1&&!(ce._prevButtons&1)&&ce.onclick&&ce.onclick(V),ce._prevButtons=tt}})};function Ht(){if(ce.contextLost)return!0;z.isContextLost()&&(ce.contextLost=!0,ce.mouseListener.enabled=!1,ce.selection.object=null,ce.oncontextloss&&ce.oncontextloss())}P.addEventListener(\"webglcontextlost\",Ht);function at(){if(!Ht()){z.colorMask(!0,!0,!0,!0),z.depthMask(!0),z.disable(z.BLEND),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL);for(var tt=Ee.length,je=ie.length,Ue=0;Ue<je;++Ue){var Ae=ie[Ue];Ae.shape=He,Ae.begin();for(var rt=0;rt<tt;++rt)if(Ce[rt]===Ue){var St=Ee[rt];St.drawPick&&(St.pixelRatio=1,St.drawPick(Be))}Ae.end()}}}var ct=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],ar=[ct[0].slice(),ct[1].slice()];function Vt(){if(!Ht()){lt();var tt=ce.camera.tick();Be.view=ce.camera.matrix,Se=Se||tt,Le=Le||tt,re.pixelRatio=ce.pixelRatio,_e.pixelRatio=ce.pixelRatio;var je=Ee.length,Ue=ct[0],Ae=ct[1];Ue[0]=Ue[1]=Ue[2]=1/0,Ae[0]=Ae[1]=Ae[2]=-1/0;for(var rt=0;rt<je;++rt){var St=Ee[rt];St.pixelRatio=ce.pixelRatio,St.axes=ce.axes,Se=Se||!!St.dirty,Le=Le||!!St.dirty;var Tt=St.bounds;if(Tt)for(var dt=Tt[0],Et=Tt[1],pt=0;pt<3;++pt)Ue[pt]=Math.min(Ue[pt],dt[pt]),Ae[pt]=Math.max(Ae[pt],Et[pt])}var jt=ce.bounds;if(ce.autoBounds)for(var pt=0;pt<3;++pt){if(Ae[pt]<Ue[pt])Ue[pt]=-1,Ae[pt]=1;else{Ue[pt]===Ae[pt]&&(Ue[pt]-=1,Ae[pt]+=1);var or=.05*(Ae[pt]-Ue[pt]);Ue[pt]=Ue[pt]-or,Ae[pt]=Ae[pt]+or}jt[0][pt]=Ue[pt],jt[1][pt]=Ae[pt]}for(var mr=!1,pt=0;pt<3;++pt)mr=mr||ar[0][pt]!==jt[0][pt]||ar[1][pt]!==jt[1][pt],ar[0][pt]=jt[0][pt],ar[1][pt]=jt[1][pt];if(Le=Le||mr,Se=Se||mr,!!Se){if(mr){for(var Ar=[0,0,0],rt=0;rt<3;++rt)Ar[rt]=L((jt[1][rt]-jt[0][rt])/10);re.autoTicks?re.update({bounds:jt,tickSpacing:Ar}):re.update({bounds:jt})}var ei=z.drawingBufferWidth,qr=z.drawingBufferHeight;me[0]=ei,me[1]=qr,He[0]=Math.max(ei/ce.pixelRatio,1)|0,He[1]=Math.max(qr/ce.pixelRatio,1)|0,S(ce,j);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.axesBounds=jt,ce.clipToBounds&&(St.clipBounds=jt)}V.object&&(ce.snapToData?_e.position=V.dataCoordinate:_e.position=V.dataPosition,_e.bounds=jt),Le&&(Le=!1,at()),ce.axesPixels=u(ce.axes,Be,ei,qr),ce.onrender&&ce.onrender(),z.bindFramebuffer(z.FRAMEBUFFER,null),z.viewport(0,0,ei,qr),ce.clearRGBA(),z.depthMask(!0),z.colorMask(!0,!0,!0,!0),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL),z.disable(z.BLEND),z.disable(z.CULL_FACE);var jr=!1;re.enable&&(jr=jr||re.isTransparent(),re.draw(Be)),_e.axes=re,V.object&&_e.draw(Be),z.disable(z.CULL_FACE);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.axes=re,St.pixelRatio=ce.pixelRatio,St.isOpaque&&St.isOpaque()&&St.draw(Be),St.isTransparent&&St.isTransparent()&&(jr=!0)}if(jr){G.shape=me,G.bind(),z.clear(z.DEPTH_BUFFER_BIT),z.colorMask(!1,!1,!1,!1),z.depthMask(!0),z.depthFunc(z.LESS),re.enable&&re.isTransparent()&&re.drawTransparent(Be);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.isOpaque&&St.isOpaque()&&St.draw(Be)}z.enable(z.BLEND),z.blendEquation(z.FUNC_ADD),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.colorMask(!0,!0,!0,!0),z.depthMask(!1),z.clearColor(0,0,0,0),z.clear(z.COLOR_BUFFER_BIT),re.isTransparent()&&re.drawTransparent(Be);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.isTransparent&&St.isTransparent()&&St.drawTransparent(Be)}z.bindFramebuffer(z.FRAMEBUFFER,null),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.disable(z.DEPTH_TEST),Z.bind(),G.color[0].bind(0),Z.uniforms.accumBuffer=0,d(z),z.disable(z.BLEND)}Se=!1;for(var rt=0;rt<je;++rt)Ee[rt].dirty=!1}}}function rr(){ce._stopped||ce.contextLost||(Vt(),requestAnimationFrame(rr))}return ce.enableMouseListeners(),rr(),ce.redraw=function(){ce._stopped||(Se=!0,Vt())},ce}function S(g,P){var E=g.bounds,z=g.cameraParams,q=z.projection,V=z.model,G=g.gl.drawingBufferWidth,Z=g.gl.drawingBufferHeight,j=g.zNear,N=g.zFar,H=g.fovy,re=G/Z;P?(b(q,-re,re,-1,1,j,N),z._ortho=!0):(m(q,H,re,j,N),z._ortho=!1);for(var ae=0;ae<16;++ae)V[ae]=0;V[15]=1;for(var _e=0,ae=0;ae<3;++ae)_e=Math.max(_e,E[1][ae]-E[0][ae]);for(var ae=0;ae<3;++ae)g.autoScale?V[5*ae]=g.aspect[ae]/(E[1][ae]-E[0][ae]):V[5*ae]=1/_e,g.autoCenter&&(V[12+ae]=-V[5*ae]*.5*(E[0][ae]+E[1][ae]))}}),783:(function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2],d=s[3],v=l[0],m=l[1],b=l[2],p=l[3],k,M,T,L,x;return M=c*v+f*m+h*b+d*p,M<0&&(M=-M,v=-v,m=-m,b=-b,p=-p),1-M>1e-6?(k=Math.acos(M),T=Math.sin(k),L=Math.sin((1-u)*k)/T,x=Math.sin(u*k)/T):(L=1-u,x=u),o[0]=L*c+x*v,o[1]=L*f+x*m,o[2]=L*h+x*b,o[3]=L*d+x*p,o}}),5964:(function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}}),9366:(function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var m={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};m.triangles=!0;var b=s(c,m);m.triangles=!1;var p=s(c,m),k,M;if(h&&h!==1){for(k=0;k<b.positions.length;++k)for(M=0;M<b.positions[k].length;++M)b.positions[k][M]/=h;for(k=0;k<p.positions.length;++k)for(M=0;M<p.positions[k].length;++M)p.positions[k][M]/=h}var T=[[1/0,1/0],[-1/0,-1/0]],L=p.positions.length;for(k=0;k<L;++k){var x=p.positions[k];for(M=0;M<2;++M)T[0][M]=Math.min(T[0][M],x[M]),T[1][M]=Math.max(T[1][M],x[M])}return v[c]=[b,p,T]}}),1283:(function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform vec4 highlightId;\n",
+       "uniform float highlightScale;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = 1.0;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      scale = highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    viewPosition = viewPosition / viewPosition.w;\n",
+       "    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float highlightScale, pixelRatio;\n",
+       "uniform vec4 highlightId;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = pixelRatio;\n",
+       "    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n",
+       "      scale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1.0);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    vec4 clipPosition = projection * viewPosition;\n",
+       "    clipPosition /= clipPosition.w;\n",
+       "\n",
+       "    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform float highlightScale;\n",
+       "uniform vec4 highlightId;\n",
+       "uniform vec3 axes[2];\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float scale, pixelRatio;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float lscale = pixelRatio * scale;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      lscale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\n",
+       "    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n",
+       "    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = dataPosition;\n",
+       "  }\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
+       "    interpColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "  gl_FragColor = interpColor * opacity;\n",
+       "}\n",
+       "`]),d=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float pickGroup;\n",
+       "\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
+       "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],m={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},p={vertex:f,fragment:h,attributes:v},k={vertex:u,fragment:d,attributes:v},M={vertex:c,fragment:d,attributes:v},T={vertex:f,fragment:d,attributes:v};function L(x,C){var S=s(x,C),g=S.attributes;return g.position.location=0,g.color.location=1,g.glyph.location=2,g.id.location=3,S}a.createPerspective=function(x){return L(x,m)},a.createOrtho=function(x){return L(x,b)},a.createProject=function(x){return L(x,p)},a.createPickPerspective=function(x){return L(x,k)},a.createPickOrtho=function(x){return L(x,M)},a.createPickProject=function(x){return L(x,T)}}),8418:(function(i,a,o){\"use strict\";var s=o(5219),l=o(2762),u=o(8116),c=o(1888),f=o(6760),h=o(1283),d=o(9366),v=o(5964),m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],b=ArrayBuffer,p=DataView;function k(be){return b.isView(be)&&!(be instanceof p)}function M(be){return Array.isArray(be)||k(be)}i.exports=ke;function T(be,Be){var Le=be[0],me=be[1],Pe=be[2],ce=be[3];return be[0]=Be[0]*Le+Be[4]*me+Be[8]*Pe+Be[12]*ce,be[1]=Be[1]*Le+Be[5]*me+Be[9]*Pe+Be[13]*ce,be[2]=Be[2]*Le+Be[6]*me+Be[10]*Pe+Be[14]*ce,be[3]=Be[3]*Le+Be[7]*me+Be[11]*Pe+Be[15]*ce,be}function L(be,Be,Le,me){return T(me,me,Le),T(me,me,Be),T(me,me,be)}function x(be,Be){this.index=be,this.dataCoordinate=this.position=Be}function C(be){return be===!0||be>1?1:be}function S(be,Be,Le,me,Pe,ce,He,lt,mt,Ht,at,ct){this.gl=be,this.pixelRatio=1,this.shader=Be,this.orthoShader=Le,this.projectShader=me,this.pointBuffer=Pe,this.colorBuffer=ce,this.glyphBuffer=He,this.idBuffer=lt,this.vao=mt,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[.6666666666666666,.6666666666666666,.6666666666666666],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=Ht,this.pickOrthoShader=at,this.pickProjectShader=ct,this.points=[],this._selectResult=new x(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}var g=S.prototype;g.pickSlots=1,g.setPickBase=function(be){this.pickId=be},g.isTransparent=function(){if(this.hasAlpha)return!0;for(var be=0;be<3;++be)if(this.axesProject[be]&&this.projectHasAlpha)return!0;return!1},g.isOpaque=function(){if(!this.hasAlpha)return!0;for(var be=0;be<3;++be)if(this.axesProject[be]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],E=[0,0,0],z=[0,0,0],q=[0,0,0,1],V=[0,0,0,1],G=m.slice(),Z=[0,0,0],j=[[0,0,0],[0,0,0]];function N(be){return be[0]=be[1]=be[2]=0,be}function H(be,Be){return be[0]=Be[0],be[1]=Be[1],be[2]=Be[2],be[3]=1,be}function re(be,Be,Le,me){return be[0]=Be[0],be[1]=Be[1],be[2]=Be[2],be[Le]=me,be}function ae(be){for(var Be=j,Le=0;Le<2;++Le)for(var me=0;me<3;++me)Be[Le][me]=Math.max(Math.min(be[Le][me],1e8),-1e8);return Be}function _e(be,Be,Le,me){var Pe=Be.axesProject,ce=Be.gl,He=be.uniforms,lt=Le.model||m,mt=Le.view||m,Ht=Le.projection||m,at=Be.axesBounds,ct=ae(Be.clipBounds),ar;Be.axes&&Be.axes.lastCubeProps?ar=Be.axes.lastCubeProps.axis:ar=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,be.bind(),He.view=mt,He.projection=Ht,He.screenSize=P,He.highlightId=Be.highlightId,He.highlightScale=Be.highlightScale,He.clipBounds=ct,He.pickGroup=Be.pickId/255,He.pixelRatio=me;for(var Vt=0;Vt<3;++Vt)if(Pe[Vt]){He.scale=Be.projectScale[Vt],He.opacity=Be.projectOpacity[Vt];for(var rr=G,tt=0;tt<16;++tt)rr[tt]=0;for(var tt=0;tt<4;++tt)rr[5*tt]=1;rr[5*Vt]=0,ar[Vt]<0?rr[12+Vt]=at[0][Vt]:rr[12+Vt]=at[1][Vt],f(rr,lt,rr),He.model=rr;var je=(Vt+1)%3,Ue=(Vt+2)%3,Ae=N(E),rt=N(z);Ae[je]=1,rt[Ue]=1;var St=L(Ht,mt,lt,H(q,Ae)),Tt=L(Ht,mt,lt,H(V,rt));if(Math.abs(St[1])>Math.abs(Tt[1])){var dt=St;St=Tt,Tt=dt,dt=Ae,Ae=rt,rt=dt;var Et=je;je=Ue,Ue=Et}St[0]<0&&(Ae[je]=-1),Tt[1]>0&&(rt[Ue]=-1);for(var pt=0,jt=0,tt=0;tt<4;++tt)pt+=Math.pow(lt[4*je+tt],2),jt+=Math.pow(lt[4*Ue+tt],2);Ae[je]/=Math.sqrt(pt),rt[Ue]/=Math.sqrt(jt),He.axes[0]=Ae,He.axes[1]=rt,He.fragClipBounds[0]=re(Z,ct[0],Vt,-1e8),He.fragClipBounds[1]=re(Z,ct[1],Vt,1e8),Be.vao.bind(),Be.vao.draw(ce.TRIANGLES,Be.vertexCount),Be.lineWidth>0&&(ce.lineWidth(Be.lineWidth*me),Be.vao.draw(ce.LINES,Be.lineVertexCount,Be.vertexCount)),Be.vao.unbind()}}var Ee=[-1e8,-1e8,-1e8],Ce=[1e8,1e8,1e8],ge=[Ee,Ce];function ie(be,Be,Le,me,Pe,ce,He){var lt=Le.gl;if((ce===Le.projectHasAlpha||He)&&_e(Be,Le,me,Pe),ce===Le.hasAlpha||He){be.bind();var mt=be.uniforms;mt.model=me.model||m,mt.view=me.view||m,mt.projection=me.projection||m,P[0]=2/lt.drawingBufferWidth,P[1]=2/lt.drawingBufferHeight,mt.screenSize=P,mt.highlightId=Le.highlightId,mt.highlightScale=Le.highlightScale,mt.fragClipBounds=ge,mt.clipBounds=Le.axes.bounds,mt.opacity=Le.opacity,mt.pickGroup=Le.pickId/255,mt.pixelRatio=Pe,Le.vao.bind(),Le.vao.draw(lt.TRIANGLES,Le.vertexCount),Le.lineWidth>0&&(lt.lineWidth(Le.lineWidth*Pe),Le.vao.draw(lt.LINES,Le.lineVertexCount,Le.vertexCount)),Le.vao.unbind()}}g.draw=function(be){var Be=this.useOrtho?this.orthoShader:this.shader;ie(Be,this.projectShader,this,be,this.pixelRatio,!1,!1)},g.drawTransparent=function(be){var Be=this.useOrtho?this.orthoShader:this.shader;ie(Be,this.projectShader,this,be,this.pixelRatio,!0,!1)},g.drawPick=function(be){var Be=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;ie(Be,this.pickProjectShader,this,be,1,!0,!0)},g.pick=function(be){if(!be||be.id!==this.pickId)return null;var Be=be.value[2]+(be.value[1]<<8)+(be.value[0]<<16);if(Be>=this.pointCount||Be<0)return null;var Le=this.points[Be],me=this._selectResult;me.index=Be;for(var Pe=0;Pe<3;++Pe)me.position[Pe]=me.dataCoordinate[Pe]=Le[Pe];return me},g.highlight=function(be){if(!be)this.highlightId=[1,1,1,1];else{var Be=be.index,Le=Be&255,me=Be>>8&255,Pe=Be>>16&255;this.highlightId=[Le/255,me/255,Pe/255,0]}};function Se(be,Be,Le,me){var Pe;M(be)?Be<be.length?Pe=be[Be]:Pe=void 0:Pe=be,Pe=v(Pe);var ce=!0;s(Pe)&&(Pe=\"\\u25BC\",ce=!1),Le||(Le={});var He=Le.family;M(He)&&(He=He[Be]),He||(He=\"normal\");var lt=Le.weight;M(lt)&&(lt=lt[Be]),lt||(lt=\"normal\");var mt=Le.style;M(mt)&&(mt=mt[Be]),mt||(mt=\"normal\");var Ht=Le.variant;M(Ht)&&(Ht=Ht[Be]),Ht||(Ht=\"normal\");var at=d(Pe,{family:He,weight:lt,style:mt,variant:Ht},me),at=d(Pe,Le,me);return{mesh:at[0],lines:at[1],bounds:at[2],visible:ce}}g.update=function(be){if(be=be||{},\"perspective\"in be&&(this.useOrtho=!be.perspective),\"orthographic\"in be&&(this.useOrtho=!!be.orthographic),\"lineWidth\"in be&&(this.lineWidth=be.lineWidth),\"project\"in be)if(M(be.project))this.axesProject=be.project;else{var Be=!!be.project;this.axesProject=[Be,Be,Be]}if(\"projectScale\"in be)if(M(be.projectScale))this.projectScale=be.projectScale.slice();else{var Le=+be.projectScale;this.projectScale=[Le,Le,Le]}if(this.projectHasAlpha=!1,\"projectOpacity\"in be){if(M(be.projectOpacity))this.projectOpacity=be.projectOpacity.slice();else{var Le=+be.projectOpacity;this.projectOpacity=[Le,Le,Le]}for(var me=0;me<3;++me)this.projectOpacity[me]=C(this.projectOpacity[me]),this.projectOpacity[me]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in be&&(this.opacity=C(be.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var Pe=be.position,ce={family:be.font||\"normal\",style:be.fontStyle||\"normal\",weight:be.fontWeight||\"normal\",variant:be.fontVariant||\"normal\"},He=be.alignment||[0,0],lt,mt;if(He.length===2)lt=He[0],mt=He[1];else{lt=[],mt=[];for(var me=0;me<He.length;++me)lt[me]=He[me][0],mt[me]=He[me][1]}var Ht=[1/0,1/0,1/0],at=[-1/0,-1/0,-1/0],ct=be.glyph,ar=be.color,Vt=be.size,rr=be.angle,tt=be.lineColor,je=-1,Ue=0,Ae=0,rt=0;if(Pe.length){rt=Pe.length;e:for(var me=0;me<rt;++me){for(var St=Pe[me],Tt=0;Tt<3;++Tt)if(isNaN(St[Tt])||!isFinite(St[Tt]))continue e;var dt=Se(ct,me,ce,this.pixelRatio),Et=dt.mesh,pt=dt.lines,jt=dt.bounds;Ue+=Et.cells.length*3,Ae+=pt.edges.length*2}}var or=Ue+Ae,mr=c.mallocFloat(3*or),Ar=c.mallocFloat(4*or),ei=c.mallocFloat(2*or),qr=c.mallocUint32(or);if(or>0){var jr=0,gt=Ue,Ge=[0,0,0,1],Je=[0,0,0,1],We=M(ar)&&M(ar[0]),et=M(tt)&&M(tt[0]);e:for(var me=0;me<rt;++me){je+=1;for(var St=Pe[me],Tt=0;Tt<3;++Tt){if(isNaN(St[Tt])||!isFinite(St[Tt]))continue e;at[Tt]=Math.max(at[Tt],St[Tt]),Ht[Tt]=Math.min(Ht[Tt],St[Tt])}var dt=Se(ct,me,ce,this.pixelRatio),Et=dt.mesh,pt=dt.lines,jt=dt.bounds,xt=dt.visible;if(!xt)Ge=[1,1,1,0];else if(M(ar)){var At;if(We?me<ar.length?At=ar[me]:At=[0,0,0,0]:At=ar,At.length===3){for(var Tt=0;Tt<3;++Tt)Ge[Tt]=At[Tt];Ge[3]=1}else if(At.length===4){for(var Tt=0;Tt<4;++Tt)Ge[Tt]=At[Tt];!this.hasAlpha&&At[3]<1&&(this.hasAlpha=!0)}}else Ge[0]=Ge[1]=Ge[2]=0,Ge[3]=1;if(!xt)Je=[1,1,1,0];else if(M(tt)){var At;if(et?me<tt.length?At=tt[me]:At=[0,0,0,0]:At=tt,At.length===3){for(var Tt=0;Tt<3;++Tt)Je[Tt]=At[Tt];Je[Tt]=1}else if(At.length===4){for(var Tt=0;Tt<4;++Tt)Je[Tt]=At[Tt];!this.hasAlpha&&At[3]<1&&(this.hasAlpha=!0)}}else Je[0]=Je[1]=Je[2]=0,Je[3]=1;var Kt=.5;xt?M(Vt)?me<Vt.length?Kt=+Vt[me]:Kt=12:Vt?Kt=+Vt:this.useOrtho&&(Kt=12):Kt=0;var Qt=0;M(rr)?me<rr.length?Qt=+rr[me]:Qt=0:rr&&(Qt=+rr);for(var Mr=Math.cos(Qt),Gr=Math.sin(Qt),St=Pe[me],Tt=0;Tt<3;++Tt)at[Tt]=Math.max(at[Tt],St[Tt]),Ht[Tt]=Math.min(Ht[Tt],St[Tt]);var Ir=lt,Yr=mt,Ir=0;M(lt)?me<lt.length?Ir=lt[me]:Ir=0:lt&&(Ir=lt);var Yr=0;M(mt)?me<mt.length?Yr=mt[me]:Yr=0:mt&&(Yr=mt),Ir*=Ir>0?1-jt[0][0]:Ir<0?1+jt[1][0]:1,Yr*=Yr>0?1-jt[0][1]:Yr<0?1+jt[1][1]:1;for(var _i=[Ir,Yr],Fn=Et.cells||[],An=Et.positions||[],Tt=0;Tt<Fn.length;++Tt)for(var Pi=Fn[Tt],ai=0;ai<3;++ai){for(var mi=0;mi<3;++mi)mr[3*jr+mi]=St[mi];for(var mi=0;mi<4;++mi)Ar[4*jr+mi]=Ge[mi];qr[jr]=je;var un=An[Pi[ai]];ei[2*jr]=Kt*(Mr*un[0]-Gr*un[1]+_i[0]),ei[2*jr+1]=Kt*(Gr*un[0]+Mr*un[1]+_i[1]),jr+=1}for(var Fn=pt.edges,An=pt.positions,Tt=0;Tt<Fn.length;++Tt)for(var Pi=Fn[Tt],ai=0;ai<2;++ai){for(var mi=0;mi<3;++mi)mr[3*gt+mi]=St[mi];for(var mi=0;mi<4;++mi)Ar[4*gt+mi]=Je[mi];qr[gt]=je;var un=An[Pi[ai]];ei[2*gt]=Kt*(Mr*un[0]-Gr*un[1]+_i[0]),ei[2*gt+1]=Kt*(Gr*un[0]+Mr*un[1]+_i[1]),gt+=1}}}this.bounds=[Ht,at],this.points=Pe,this.pointCount=Pe.length,this.vertexCount=Ue,this.lineVertexCount=Ae,this.pointBuffer.update(mr),this.colorBuffer.update(Ar),this.glyphBuffer.update(ei),this.idBuffer.update(qr),c.free(mr),c.free(Ar),c.free(ei),c.free(qr)},g.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function ke(be){var Be=be.gl,Le=h.createPerspective(Be),me=h.createOrtho(Be),Pe=h.createProject(Be),ce=h.createPickPerspective(Be),He=h.createPickOrtho(Be),lt=h.createPickProject(Be),mt=l(Be),Ht=l(Be),at=l(Be),ct=l(Be),ar=u(Be,[{buffer:mt,size:3,type:Be.FLOAT},{buffer:Ht,size:4,type:Be.FLOAT},{buffer:at,size:2,type:Be.FLOAT},{buffer:ct,size:4,type:Be.UNSIGNED_BYTE,normalized:!0}]),Vt=new S(Be,Le,me,Pe,mt,Ht,at,ct,ar,ce,He,lt);return Vt.update(be),Vt}}),3589:(function(i,a,o){\"use strict\";i.exports=m;var s=o(2260),l=o(1888),u=o(9618),c=o(8828).nextPow2,f=function(b,p,k){for(var M=1e8,T=-1,L=-1,x=b.shape[0],C=b.shape[1],S=0;S<x;S++)for(var g=0;g<C;g++){var P=b.get(S,g,0),E=b.get(S,g,1),z=b.get(S,g,2),q=b.get(S,g,3);if(P<255||E<255||z<255||q<255){var V=p-S,G=k-g,Z=V*V+G*G;Z<M&&(M=Z,T=S,L=g)}}return[T,L,M]};function h(b,p,k,M,T){this.coord=[b,p],this.id=k,this.value=M,this.distance=T}function d(b,p,k){this.gl=b,this.fbo=p,this.buffer=k,this._readTimeout=null;var M=this;this._readCallback=function(){M.gl&&(p.bind(),b.readPixels(0,0,p.shape[0],p.shape[1],b.RGBA,b.UNSIGNED_BYTE,M.buffer),M._readTimeout=null)}}var v=d.prototype;Object.defineProperty(v,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(b){if(this.gl){this.fbo.shape=b;var p=this.fbo.shape[0],k=this.fbo.shape[1];if(k*p*4>this.buffer.length){l.free(this.buffer);for(var M=this.buffer=l.mallocUint8(c(k*p*4)),T=0;T<k*p*4;++T)M[T]=255}return b}}}),v.begin=function(){var b=this.gl,p=this.shape;b&&(this.fbo.bind(),b.clearColor(1,1,1,1),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT))},v.end=function(){var b=this.gl;b&&(b.bindFramebuffer(b.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},v.query=function(b,p,k){if(!this.gl)return null;var M=this.fbo.shape.slice();b=b|0,p=p|0,typeof k!=\"number\"&&(k=1);var T=Math.min(Math.max(b-k,0),M[0])|0,L=Math.min(Math.max(b+k,0),M[0])|0,x=Math.min(Math.max(p-k,0),M[1])|0,C=Math.min(Math.max(p+k,0),M[1])|0;if(L<=T||C<=x)return null;var S=[L-T,C-x],g=u(this.buffer,[S[0],S[1],4],[4,M[0]*4,1],4*(T+M[0]*x)),P=f(g.hi(S[0],S[1],1),k,k),E=P[0],z=P[1];if(E<0||Math.pow(this.radius,2)<P[2])return null;var q=g.get(E,z,0),V=g.get(E,z,1),G=g.get(E,z,2),Z=g.get(E,z,3);return new h(E+T|0,z+x|0,q,[V,G,Z],Math.sqrt(P[2]))},v.dispose=function(){this.gl&&(this.fbo.dispose(),l.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))};function m(b,p){var k=p[0],M=p[1],T={},L=s(b,k,M,T),x=l.mallocUint8(k*M*4);return new d(b,L,x)}}),9405:(function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(p){this.gl=p,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var p,k=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),M=this.gl.lastAttribCount;if(k>M)for(p=M;p<k;p++)this.gl.enableVertexAttribArray(p);else if(M>k)for(p=k;p<M;p++)this.gl.disableVertexAttribArray(p);this.gl.lastAttribCount=k,this.gl.useProgram(this.program)},v.dispose=function(){for(var p=this.gl.lastAttribCount,k=0;k<p;k++)this.gl.disableVertexAttribArray(k);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function m(p,k){return p.name<k.name?-1:1}v.update=function(p,k,M,T){if(!k||arguments.length===1){var L=p;p=L.vertex,k=L.fragment,M=L.uniforms,T=L.attributes}var x=this,C=x.gl,S=x._vref;x._vref=c.shader(C,C.VERTEX_SHADER,p),S&&S.dispose(),x.vertShader=x._vref.shader;var g=this._fref;if(x._fref=c.shader(C,C.FRAGMENT_SHADER,k),g&&g.dispose(),x.fragShader=x._fref.shader,!M||!T){var P=C.createProgram();if(C.attachShader(P,x.fragShader),C.attachShader(P,x.vertShader),C.linkProgram(P),!C.getProgramParameter(P,C.LINK_STATUS)){var E=C.getProgramInfoLog(P);throw new h(E,\"Error linking program:\"+E)}M=M||f.uniforms(C,P),T=T||f.attributes(C,P),C.deleteProgram(P)}T=T.slice(),T.sort(m);var z=[],q=[],V=[],G;for(G=0;G<T.length;++G){var Z=T[G];if(Z.type.indexOf(\"mat\")>=0){for(var j=Z.type.charAt(Z.type.length-1)|0,N=new Array(j),H=0;H<j;++H)N[H]=V.length,q.push(Z.name+\"[\"+H+\"]\"),typeof Z.location==\"number\"?V.push(Z.location+H):Array.isArray(Z.location)&&Z.location.length===j&&typeof Z.location[H]==\"number\"?V.push(Z.location[H]|0):V.push(-1);z.push({name:Z.name,type:Z.type,locations:N})}else z.push({name:Z.name,type:Z.type,locations:[V.length]}),q.push(Z.name),typeof Z.location==\"number\"?V.push(Z.location|0):V.push(-1)}var re=0;for(G=0;G<V.length;++G)if(V[G]<0){for(;V.indexOf(re)>=0;)re+=1;V[G]=re}var ae=new Array(M.length);function _e(){x.program=c.program(C,x._vref,x._fref,q,V);for(var Ee=0;Ee<M.length;++Ee)ae[Ee]=C.getUniformLocation(x.program,M[Ee].name)}_e(),x._relink=_e,x.types={uniforms:u(M),attributes:u(T)},x.attributes=l(C,x,z,V),Object.defineProperty(x,\"uniforms\",s(C,x,M,ae))};function b(p,k,M,T,L){var x=new d(p);return x.update(k,M,T,L),x}i.exports=b}),8866:(function(i){function a(o,s,l){this.shortMessage=s||\"\",this.longMessage=l||\"\",this.rawError=o||\"\",this.message=\"gl-shader: \"+(s||o||\"\")+(l?`\n",
+       "`+l:\"\"),this.stack=new Error().stack}a.prototype=new Error,a.prototype.name=\"GLError\",a.prototype.constructor=a,i.exports=a}),8731:(function(i,a,o){\"use strict\";i.exports=d;var s=o(8866);function l(v,m,b,p,k,M){this._gl=v,this._wrapper=m,this._index=b,this._locations=p,this._dimension=k,this._constFunc=M}var u=l.prototype;u.pointer=function(m,b,p,k){var M=this,T=M._gl,L=M._locations[M._index];T.vertexAttribPointer(L,M._dimension,m||T.FLOAT,!!b,p||0,k||0),T.enableVertexAttribArray(L)},u.set=function(v,m,b,p){return this._constFunc(this._locations[this._index],v,m,b,p)},Object.defineProperty(u,\"location\",{get:function(){return this._locations[this._index]},set:function(v){return v!==this._locations[this._index]&&(this._locations[this._index]=v|0,this._wrapper.program=null),v|0}});var c=[function(v,m,b){return b.length===void 0?v.vertexAttrib1f(m,b):v.vertexAttrib1fv(m,b)},function(v,m,b,p){return b.length===void 0?v.vertexAttrib2f(m,b,p):v.vertexAttrib2fv(m,b)},function(v,m,b,p,k){return b.length===void 0?v.vertexAttrib3f(m,b,p,k):v.vertexAttrib3fv(m,b)},function(v,m,b,p,k,M){return b.length===void 0?v.vertexAttrib4f(m,b,p,k,M):v.vertexAttrib4fv(m,b)}];function f(v,m,b,p,k,M,T){var L=c[k],x=new l(v,m,b,p,k,L);Object.defineProperty(M,T,{set:function(C){return v.disableVertexAttribArray(p[b]),L(v,p[b],C),C},get:function(){return x},enumerable:!0})}function h(v,m,b,p,k,M,T){for(var L=new Array(k),x=new Array(k),C=0;C<k;++C)f(v,m,b[C],p,k,L,C),x[C]=L[C];Object.defineProperty(L,\"location\",{set:function(P){if(Array.isArray(P))for(var E=0;E<k;++E)x[E].location=P[E];else for(var E=0;E<k;++E)x[E].location=P+E;return P},get:function(){for(var P=new Array(k),E=0;E<k;++E)P[E]=p[b[E]];return P},enumerable:!0}),L.pointer=function(P,E,z,q){P=P||v.FLOAT,E=!!E,z=z||k*k,q=q||0;for(var V=0;V<k;++V){var G=p[b[V]];v.vertexAttribPointer(G,k,P,E,z,q+V*k),v.enableVertexAttribArray(G)}};var S=new Array(k),g=v[\"vertexAttrib\"+k+\"fv\"];Object.defineProperty(M,T,{set:function(P){for(var E=0;E<k;++E){var z=p[b[E]];if(v.disableVertexAttribArray(z),Array.isArray(P[0]))g.call(v,z,P[E]);else{for(var q=0;q<k;++q)S[q]=P[k*E+q];g.call(v,z,S)}}return P},get:function(){return L},enumerable:!0})}function d(v,m,b,p){for(var k={},M=0,T=b.length;M<T;++M){var L=b[M],x=L.name,C=L.type,S=L.locations;switch(C){case\"bool\":case\"int\":case\"float\":f(v,m,S[0],p,1,k,x);break;default:if(C.indexOf(\"vec\")>=0){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new s(\"\",\"Invalid data type for attribute \"+x+\": \"+C);f(v,m,S[0],p,g,k,x)}else if(C.indexOf(\"mat\")>=0){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new s(\"\",\"Invalid data type for attribute \"+x+\": \"+C);h(v,m,S,p,g,k,x)}else throw new s(\"\",\"Unknown data type for attribute \"+x+\": \"+C);break}}return k}}),3327:(function(i,a,o){\"use strict\";var s=o(216),l=o(8866);i.exports=f;function u(h){return function(){return h}}function c(h,d){for(var v=new Array(h),m=0;m<h;++m)v[m]=d;return v}function f(h,d,v,m){function b(C){return function(S,g,P){return S.getUniform(g.program,P[C])}}function p(C){return function(g){for(var P=k(\"\",C),E=0;E<P.length;++E){var z=P[E],q=z[0],V=z[1];if(m[V]){var G=g;if(typeof q==\"string\"&&(q.indexOf(\".\")===0||q.indexOf(\"[\")===0)){var Z=q;if(q.indexOf(\".\")===0&&(Z=q.slice(1)),Z.indexOf(\"]\")===Z.length-1){var j=Z.indexOf(\"[\"),N=Z.slice(0,j),H=Z.slice(j+1,Z.length-1);G=N?g[N][H]:g[H]}else G=g[Z]}var re=v[V].type,ae;switch(re){case\"bool\":case\"int\":case\"sampler2D\":case\"samplerCube\":h.uniform1i(m[V],G);break;case\"float\":h.uniform1f(m[V],G);break;default:var _e=re.indexOf(\"vec\");if(0<=_e&&_e<=1&&re.length===4+_e){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid data type\");switch(re.charAt(0)){case\"b\":case\"i\":h[\"uniform\"+ae+\"iv\"](m[V],G);break;case\"v\":h[\"uniform\"+ae+\"fv\"](m[V],G);break;default:throw new l(\"\",\"Unrecognized data type for vector \"+name+\": \"+re)}}else if(re.indexOf(\"mat\")===0&&re.length===4){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+re);h[\"uniformMatrix\"+ae+\"fv\"](m[V],!1,G);break}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+re)}}}}}function k(C,S){if(typeof S!=\"object\")return[[C,S]];var g=[];for(var P in S){var E=S[P],z=C;parseInt(P)+\"\"===P?z+=\"[\"+P+\"]\":z+=\".\"+P,typeof E==\"object\"?g.push.apply(g,k(z,E)):g.push([z,E])}return g}function M(C){switch(C){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":return 0;case\"float\":return 0;default:var S=C.indexOf(\"vec\");if(0<=S&&S<=1&&C.length===4+S){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new l(\"\",\"Invalid data type\");return C.charAt(0)===\"b\"?c(g,!1):c(g,0)}else if(C.indexOf(\"mat\")===0&&C.length===4){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+C);return c(g*g,0)}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+C)}}function T(C,S,g){if(typeof g==\"object\"){var P=L(g);Object.defineProperty(C,S,{get:u(P),set:p(g),enumerable:!0,configurable:!1})}else m[g]?Object.defineProperty(C,S,{get:b(g),set:p(g),enumerable:!0,configurable:!1}):C[S]=M(v[g].type)}function L(C){var S;if(Array.isArray(C)){S=new Array(C.length);for(var g=0;g<C.length;++g)T(S,g,C[g])}else{S={};for(var P in C)T(S,P,C[P])}return S}var x=s(v,!0);return{get:u(L(x)),set:p(x),enumerable:!0,configurable:!0}}}),216:(function(i){\"use strict\";i.exports=a;function a(o,s){for(var l={},u=0;u<o.length;++u)for(var c=o[u].name,f=c.split(\".\"),h=l,d=0;d<f.length;++d){var v=f[d].split(\"[\");if(v.length>1){v[0]in h||(h[v[0]]=[]),h=h[v[0]];for(var m=1;m<v.length;++m){var b=parseInt(v[m]);m<v.length-1||d<f.length-1?(b in h||(m<v.length-1?h[b]=[]:h[b]={}),h=h[b]):s?h[b]=u:h[b]=o[u].type}}else d<f.length-1?(v[0]in h||(h[v[0]]={}),h=h[v[0]]):s?h[v[0]]=u:h[v[0]]=o[u].type}return l}}),2145:(function(i,a){\"use strict\";a.uniforms=u,a.attributes=c;var o={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},s=null;function l(f,h){if(!s){var d=Object.keys(o);s={};for(var v=0;v<d.length;++v){var m=d[v];s[f[m]]=o[m]}}return s[h]}function u(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_UNIFORMS),v=[],m=0;m<d;++m){var b=f.getActiveUniform(h,m);if(b){var p=l(f,b.type);if(b.size>1)for(var k=0;k<b.size;++k)v.push({name:b.name.replace(\"[0]\",\"[\"+k+\"]\"),type:p});else v.push({name:b.name,type:p})}}return v}function c(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_ATTRIBUTES),v=[],m=0;m<d;++m){var b=f.getActiveAttrib(h,m);b&&v.push({name:b.name,type:l(f,b.type)})}return v}}),5091:(function(i,a,o){\"use strict\";a.shader=k,a.program=M;var s=o(8866),l=o(2992),u=typeof WeakMap==\"undefined\"?o(606):WeakMap,c=new u,f=0;function h(T,L,x,C,S,g,P){this.id=T,this.src=L,this.type=x,this.shader=C,this.count=g,this.programs=[],this.cache=P}h.prototype.dispose=function(){if(--this.count===0){for(var T=this.cache,L=T.gl,x=this.programs,C=0,S=x.length;C<S;++C){var g=T.programs[x[C]];g&&(delete T.programs[C],L.deleteProgram(g))}L.deleteShader(this.shader),delete T.shaders[this.type===L.FRAGMENT_SHADER|0][this.src]}};function d(T){this.gl=T,this.shaders=[{},{}],this.programs={}}var v=d.prototype;function m(T,L,x){var C=T.createShader(L);if(T.shaderSource(C,x),T.compileShader(C),!T.getShaderParameter(C,T.COMPILE_STATUS)){var S=T.getShaderInfoLog(C);try{var g=l(S,x,L)}catch(P){throw console.warn(\"Failed to format compiler error: \"+P),new s(S,`Error compiling shader:\n",
+       "`+S)}throw new s(S,g.short,g.long)}return C}v.getShaderReference=function(T,L){var x=this.gl,C=this.shaders[T===x.FRAGMENT_SHADER|0],S=C[L];if(!S||!x.isShader(S.shader)){var g=m(x,T,L);S=C[L]=new h(f++,L,T,g,[],1,this)}else S.count+=1;return S};function b(T,L,x,C,S){var g=T.createProgram();T.attachShader(g,L),T.attachShader(g,x);for(var P=0;P<C.length;++P)T.bindAttribLocation(g,S[P],C[P]);if(T.linkProgram(g),!T.getProgramParameter(g,T.LINK_STATUS)){var E=T.getProgramInfoLog(g);throw new s(E,\"Error linking program: \"+E)}return g}v.getProgram=function(T,L,x,C){var S=[T.id,L.id,x.join(\":\"),C.join(\":\")].join(\"@\"),g=this.programs[S];return(!g||!this.gl.isProgram(g))&&(this.programs[S]=g=b(this.gl,T.shader,L.shader,x,C),T.programs.push(S),L.programs.push(S)),g};function p(T){var L=c.get(T);return L||(L=new d(T),c.set(T,L)),L}function k(T,L,x){return p(T).getShaderReference(L,x)}function M(T,L,x,C,S){return p(T).getProgram(L,x,C,S)}}),1493:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, color;\n",
+       "attribute float weight;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 coordinates[3];\n",
+       "uniform vec4 colors[3];\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float lineWidth;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 vertexPosition = mix(coordinates[0],\n",
+       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
+       "\n",
+       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
+       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
+       "  vec2 delta = weight * clipOffset * screenShape;\n",
+       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
+       "\n",
+       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
+       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
+       "}\n",
+       "`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}}),4449:(function(i,a,o){\"use strict\";var s=o(2762),l=o(8116),u=o(1493);i.exports=b;var c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,M,T){this.gl=p,this.buffer=k,this.vao=M,this.shader=T,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var h=f.prototype,d=[0,0,0],v=[0,0,0],m=[0,0];h.isTransparent=function(){return!1},h.drawTransparent=function(p){},h.draw=function(p){var k=this.gl,M=this.vao,T=this.shader;M.bind(),T.bind();var L=p.model||c,x=p.view||c,C=p.projection||c,S;this.axes&&(S=this.axes.lastCubeProps.axis);for(var g=d,P=v,E=0;E<3;++E)S&&S[E]<0?(g[E]=this.bounds[0][E],P[E]=this.bounds[1][E]):(g[E]=this.bounds[1][E],P[E]=this.bounds[0][E]);m[0]=k.drawingBufferWidth,m[1]=k.drawingBufferHeight,T.uniforms.model=L,T.uniforms.view=x,T.uniforms.projection=C,T.uniforms.coordinates=[this.position,g,P],T.uniforms.colors=this.colors,T.uniforms.screenShape=m;for(var E=0;E<3;++E)T.uniforms.lineWidth=this.lineWidth[E]*this.pixelRatio,this.enabled[E]&&(M.draw(k.TRIANGLES,6,6*E),this.drawSides[E]&&M.draw(k.TRIANGLES,12,18+12*E));M.unbind()},h.update=function(p){p&&(\"bounds\"in p&&(this.bounds=p.bounds),\"position\"in p&&(this.position=p.position),\"lineWidth\"in p&&(this.lineWidth=p.lineWidth),\"colors\"in p&&(this.colors=p.colors),\"enabled\"in p&&(this.enabled=p.enabled),\"drawSides\"in p&&(this.drawSides=p.drawSides))},h.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function b(p,k){var M=[];function T(g,P,E,z,q,V){var G=[g,P,E,0,0,0,1];G[z+3]=1,G[z]=q,M.push.apply(M,G),G[6]=-1,M.push.apply(M,G),G[z]=V,M.push.apply(M,G),M.push.apply(M,G),G[6]=1,M.push.apply(M,G),G[z]=q,M.push.apply(M,G)}T(0,0,0,0,0,1),T(0,0,0,1,0,1),T(0,0,0,2,0,1),T(1,0,0,1,-1,1),T(1,0,0,2,-1,1),T(0,1,0,0,-1,1),T(0,1,0,2,-1,1),T(0,0,1,0,-1,1),T(0,0,1,1,-1,1);var L=s(p,M),x=l(p,[{type:p.FLOAT,buffer:L,size:3,offset:0,stride:28},{type:p.FLOAT,buffer:L,size:3,offset:12,stride:28},{type:p.FLOAT,buffer:L,size:1,offset:24,stride:28}]),C=u(p);C.attributes.position.location=0,C.attributes.color.location=1,C.attributes.weight.location=2;var S=new f(p,L,x,C);return S.update(k),S}}),6740:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, tubeScale;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * tubePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n",
+       "  vec4 t_position  = view * tubePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = tubePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float tubeScale;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  gl_Position = projection * (view * tubePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}}),7815:(function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(T,L,x,C){for(var S=T.points,g=T.velocities,P=T.divergences,E=[],z=[],q=[],V=[],G=[],Z=[],j=0,N=0,H=l.create(),re=l.create(),ae=8,_e=0;_e<S.length;_e++){var Ee=S[_e],Ce=g[_e],ge=P[_e];L===0&&(ge=x*.05),N=s.length(Ce)/C,H=l.create(),s.copy(H,Ce),H[3]=ge;for(var ie=0;ie<ae;ie++)G[ie]=[Ee[0],Ee[1],Ee[2],ie];if(V.length>0)for(var ie=0;ie<ae;ie++){var Se=(ie+1)%ae;E.push(V[ie],G[ie],G[Se],G[Se],V[Se],V[ie]),q.push(re,H,H,H,re,re),Z.push(j,N,N,N,j,j);var ke=E.length;z.push([ke-6,ke-5,ke-4],[ke-3,ke-2,ke-1])}var be=V;V=G,G=be;var Be=re;re=H,H=Be;var Le=j;j=N,N=Le}return{positions:E,cells:z,vectors:q,vertexIntensity:Z}},f=function(T,L,x,C){for(var S=0,g=0;g<T.length;g++)for(var P=T[g].velocities,E=0;E<P.length;E++)S=Math.max(S,s.length(P[E]));for(var z=T.map(function(_e){return c(_e,x,C,S)}),q=[],V=[],G=[],Z=[],g=0;g<z.length;g++){var j=z[g],N=q.length;q=q.concat(j.positions),G=G.concat(j.vectors),Z=Z.concat(j.vertexIntensity);for(var E=0;E<j.cells.length;E++){var H=j.cells[E],re=[];V.push(re);for(var ae=0;ae<H.length;ae++)re.push(H[ae]+N)}}return{positions:q,cells:V,vectors:G,vertexIntensity:Z,colormap:L}},h=function(T,L){var x=T.length,C;for(C=0;C<x;C++){var S=T[C];if(S===L)return C;if(S>L)return C-1}return C},d=function(T,L,x){return T<L?L:T>x?x:T},v=function(T,L,x){var C=L.vectors,S=L.meshgrid,g=T[0],P=T[1],E=T[2],z=S[0].length,q=S[1].length,V=S[2].length,G=h(S[0],g),Z=h(S[1],P),j=h(S[2],E),N=G+1,H=Z+1,re=j+1;if(G=d(G,0,z-1),N=d(N,0,z-1),Z=d(Z,0,q-1),H=d(H,0,q-1),j=d(j,0,V-1),re=d(re,0,V-1),G<0||Z<0||j<0||N>z-1||H>q-1||re>V-1)return s.create();var ae=S[0][G],_e=S[0][N],Ee=S[1][Z],Ce=S[1][H],ge=S[2][j],ie=S[2][re],Se=(g-ae)/(_e-ae),ke=(P-Ee)/(Ce-Ee),be=(E-ge)/(ie-ge);isFinite(Se)||(Se=.5),isFinite(ke)||(ke=.5),isFinite(be)||(be=.5);var Be,Le,me,Pe,ce,He;switch(x.reversedX&&(G=z-1-G,N=z-1-N),x.reversedY&&(Z=q-1-Z,H=q-1-H),x.reversedZ&&(j=V-1-j,re=V-1-re),x.filled){case 5:ce=j,He=re,me=Z*V,Pe=H*V,Be=G*V*q,Le=N*V*q;break;case 4:ce=j,He=re,Be=G*V,Le=N*V,me=Z*V*z,Pe=H*V*z;break;case 3:me=Z,Pe=H,ce=j*q,He=re*q,Be=G*q*V,Le=N*q*V;break;case 2:me=Z,Pe=H,Be=G*q,Le=N*q,ce=j*q*z,He=re*q*z;break;case 1:Be=G,Le=N,ce=j*z,He=re*z,me=Z*z*V,Pe=H*z*V;break;default:Be=G,Le=N,me=Z*z,Pe=H*z,ce=j*z*q,He=re*z*q;break}var lt=C[Be+me+ce],mt=C[Be+me+He],Ht=C[Be+Pe+ce],at=C[Be+Pe+He],ct=C[Le+me+ce],ar=C[Le+me+He],Vt=C[Le+Pe+ce],rr=C[Le+Pe+He],tt=s.create(),je=s.create(),Ue=s.create(),Ae=s.create();s.lerp(tt,lt,ct,Se),s.lerp(je,mt,ar,Se),s.lerp(Ue,Ht,Vt,Se),s.lerp(Ae,at,rr,Se);var rt=s.create(),St=s.create();s.lerp(rt,tt,Ue,ke),s.lerp(St,je,Ae,ke);var Tt=s.create();return s.lerp(Tt,rt,St,be),Tt},m=function(T,L){var x=L[0],C=L[1],S=L[2];return T[0]=x<0?-x:x,T[1]=C<0?-C:C,T[2]=S<0?-S:S,T},b=function(T){var L=1/0;T.sort(function(g,P){return g-P});for(var x=T.length,C=1;C<x;C++){var S=Math.abs(T[C]-T[C-1]);S<L&&(L=S)}return L},p=function(T){for(var L=[],x=[],C=[],S={},g={},P={},E=T.length,z=0;z<E;z++){var q=T[z],V=q[0],G=q[1],Z=q[2];S[V]||(L.push(V),S[V]=!0),g[G]||(x.push(G),g[G]=!0),P[Z]||(C.push(Z),P[Z]=!0)}var j=b(L),N=b(x),H=b(C),re=Math.min(j,N,H);return isFinite(re)?re:1};i.exports=function(T,L){var x=T.startingPositions,C=T.maxLength||1e3,S=T.tubeSize||1,g=T.absoluteTubeSize,P=T.gridFill||\"+x+y+z\",E={};P.indexOf(\"-x\")!==-1&&(E.reversedX=!0),P.indexOf(\"-y\")!==-1&&(E.reversedY=!0),P.indexOf(\"-z\")!==-1&&(E.reversedZ=!0),E.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var z=T.getVelocity||function(ar){return v(ar,T,E)},q=T.getDivergence||function(ar,Vt){var rr=s.create(),tt=1e-4;s.add(rr,ar,[tt,0,0]);var je=z(rr);s.subtract(je,je,Vt),s.scale(je,je,1/tt),s.add(rr,ar,[0,tt,0]);var Ue=z(rr);s.subtract(Ue,Ue,Vt),s.scale(Ue,Ue,1/tt),s.add(rr,ar,[0,0,tt]);var Ae=z(rr);return s.subtract(Ae,Ae,Vt),s.scale(Ae,Ae,1/tt),s.add(rr,je,Ue),s.add(rr,rr,Ae),rr},V=[],G=L[0][0],Z=L[0][1],j=L[0][2],N=L[1][0],H=L[1][1],re=L[1][2],ae=function(ar){var Vt=ar[0],rr=ar[1],tt=ar[2];return!(Vt<G||Vt>N||rr<Z||rr>H||tt<j||tt>re)},_e=s.distance(L[0],L[1]),Ee=10*_e/C,Ce=Ee*Ee,ge=1,ie=0,Se=x.length;Se>1&&(ge=p(x));for(var ke=0;ke<Se;ke++){var be=s.create();s.copy(be,x[ke]);var Be=[be],Le=[],me=z(be),Pe=be;Le.push(me);var ce=[],He=q(be,me),lt=s.length(He);isFinite(lt)&&lt>ie&&(ie=lt),ce.push(lt),V.push({points:Be,velocities:Le,divergences:ce});for(var mt=0;mt<C*100&&Be.length<C&&ae(be);){mt++;var Ht=s.clone(me),at=s.squaredLength(Ht);if(at===0)break;if(at>Ce&&s.scale(Ht,Ht,Ee/Math.sqrt(at)),s.add(Ht,Ht,be),me=z(Ht),s.squaredDistance(Pe,Ht)-Ce>-1e-4*Ce){Be.push(Ht),Pe=Ht,Le.push(me);var He=q(Ht,me),lt=s.length(He);isFinite(lt)&&lt>ie&&(ie=lt),ce.push(lt)}be=Ht}}var ct=f(V,T.colormap,ie,ge);return g?ct.tubeScale=g:(ie===0&&(ie=1),ct.tubeScale=S*.5*ge/ie),ct};var k=o(6740),M=o(6405).createMesh;i.exports.createTubeMesh=function(T,L){return M(T,L,{shaders:k,traceType:\"streamtube\"})}}),990:(function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute vec3 f;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 lightPosition, eyePosition;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 localCoordinate = vec3(uv.zw, f.x);\n",
+       "  worldCoordinate = objectOffset + localCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  gl_Position = clipPosition;\n",
+       "  kill = f.y;\n",
+       "  value = f.z;\n",
+       "  planeCoordinate = uv.xy;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * worldPosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n",
+       "}\n",
+       "`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float beckmannSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness) {\n",
+       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 lowerBound, upperBound;\n",
+       "uniform float contourTint;\n",
+       "uniform vec4 contourColor;\n",
+       "uniform sampler2D colormap;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform float vertexColor;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    kill > 0.0 ||\n",
+       "    vColor.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(surfaceNormal);\n",
+       "  vec3 V = normalize(eyeDirection);\n",
+       "  vec3 L = normalize(lightDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  //decide how to interpolate color \\u2014 in vertex or in fragment\n",
+       "  vec4 surfaceColor =\n",
+       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
+       "    step(.5, vertexColor) * vColor;\n",
+       "\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
+       "}\n",
+       "`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute float f;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat3 permutation;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float height, zOffset;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n",
+       "  worldCoordinate = objectOffset + dataCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n",
+       "\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  clipPosition.z += zOffset;\n",
+       "\n",
+       "  gl_Position = clipPosition;\n",
+       "  value = f + objectOffset.z;\n",
+       "  kill = -1.0;\n",
+       "  planeCoordinate = uv.zw;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Don't do lighting for contours\n",
+       "  surfaceNormal   = vec3(1,0,0);\n",
+       "  eyeDirection    = vec3(0,1,0);\n",
+       "  lightDirection  = vec3(0,0,1);\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec2 shape;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 surfaceNormal;\n",
+       "\n",
+       "vec2 splitFloat(float v) {\n",
+       "  float vh = 255.0 * v;\n",
+       "  float upper = floor(vh);\n",
+       "  float lower = fract(vh);\n",
+       "  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  if ((kill > 0.0) ||\n",
+       "      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n",
+       "\n",
+       "  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n",
+       "  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n",
+       "  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n",
+       "}\n",
+       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}}),9499:(function(i,a,o){\"use strict\";i.exports=Be;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),m=o(9618),b=o(3711),p=o(6760),k=o(7608),M=o(2478),T=o(6199),L=o(990),x=L.createShader,C=L.createContourShader,S=L.createPickShader,g=L.createPickContourShader,P=40,E=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],z=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],q=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Le=0;Le<3;++Le){var me=q[Le],Pe=(Le+1)%3,ce=(Le+2)%3;me[Pe+0]=1,me[ce+3]=1,me[Le+6]=1}})();function V(Le,me,Pe,ce,He){this.position=Le,this.index=me,this.uv=Pe,this.level=ce,this.dataCoordinate=He}var G=256;function Z(Le,me,Pe,ce,He,lt,mt,Ht,at,ct,ar,Vt,rr,tt,je){this.gl=Le,this.shape=me,this.bounds=Pe,this.objectOffset=je,this.intensityBounds=[],this._shader=ce,this._pickShader=He,this._coordinateBuffer=lt,this._vao=mt,this._colorMap=Ht,this._contourShader=at,this._contourPickShader=ct,this._contourBuffer=ar,this._contourVAO=Vt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=rr,this._dynamicVAO=tt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[m(f.mallocFloat(1024),[0,0]),m(f.mallocFloat(1024),[0,0]),m(f.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var j=Z.prototype;j.genColormap=function(Le,me){var Pe=!1,ce=v([h({colormap:Le,nshades:G,format:\"rgba\"}).map(function(He,lt){var mt=me?N(lt/255,me):He[3];return mt<1&&(Pe=!0),[He[0],He[1],He[2],255*mt]})]);return d.divseq(ce,255),this.hasAlphaScale=Pe,ce},j.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},j.isOpaque=function(){return!this.isTransparent()},j.pickSlots=1,j.setPickBase=function(Le){this.pickId=Le};function N(Le,me){if(!me||!me.length)return 1;for(var Pe=0;Pe<me.length;++Pe){if(me.length<2)return 1;if(me[Pe][0]===Le)return me[Pe][1];if(me[Pe][0]>Le&&Pe>0){var ce=(me[Pe][0]-Le)/(me[Pe][0]-me[Pe-1][0]);return me[Pe][1]*(1-ce)+ce*me[Pe-1][1]}}return 1}var H=[0,0,0],re={showSurface:!1,showContour:!1,projections:[E.slice(),E.slice(),E.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function ae(Le,me){var Pe,ce,He,lt=me.axes&&me.axes.lastCubeProps.axis||H,mt=me.showSurface,Ht=me.showContour;for(Pe=0;Pe<3;++Pe)for(mt=mt||me.surfaceProject[Pe],ce=0;ce<3;++ce)Ht=Ht||me.contourProject[Pe][ce];for(Pe=0;Pe<3;++Pe){var at=re.projections[Pe];for(ce=0;ce<16;++ce)at[ce]=0;for(ce=0;ce<4;++ce)at[5*ce]=1;at[5*Pe]=0,at[12+Pe]=me.axesBounds[+(lt[Pe]>0)][Pe],p(at,Le.model,at);var ct=re.clipBounds[Pe];for(He=0;He<2;++He)for(ce=0;ce<3;++ce)ct[He][ce]=Le.clipBounds[He][ce];ct[0][Pe]=-1e8,ct[1][Pe]=1e8}return re.showSurface=mt,re.showContour=Ht,re}var _e={model:E,view:E,projection:E,inverseModel:E.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},Ee=E.slice(),Ce=[1,0,0,0,1,0,0,0,1];function ge(Le,me){Le=Le||{};var Pe=this.gl;Pe.disable(Pe.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Le.model||E,ce.view=Le.view||E,ce.projection=Le.projection||E,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=k(ce.inverseModel,ce.model);for(var He=0;He<2;++He)for(var lt=ce.clipBounds[He],mt=0;mt<3;++mt)lt[mt]=Math.min(Math.max(this.clipBounds[He][mt],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=Ce,ce.vertexColor=this.vertexColor;var Ht=Ee;for(p(Ht,ce.view,ce.model),p(Ht,ce.projection,Ht),k(Ht,Ht),He=0;He<3;++He)ce.eyePosition[He]=Ht[12+He]/Ht[15];var at=Ht[15];for(He=0;He<3;++He)at+=this.lightPosition[He]*Ht[4*He+3];for(He=0;He<3;++He){var ct=Ht[12+He];for(mt=0;mt<3;++mt)ct+=Ht[4*mt+He]*this.lightPosition[mt];ce.lightPosition[He]=ct/at}var ar=ae(ce,this);if(ar.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Pe.TRIANGLES,this._vertexCount),He=0;He<3;++He)!this.surfaceProject[He]||!this.vertexCount||(this._shader.uniforms.model=ar.projections[He],this._shader.uniforms.clipBounds=ar.clipBounds[He],this._vao.draw(Pe.TRIANGLES,this._vertexCount));this._vao.unbind()}if(ar.showContour){var Vt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,Vt.bind(),Vt.uniforms=ce;var rr=this._contourVAO;for(rr.bind(),He=0;He<3;++He)for(Vt.uniforms.permutation=q[He],Pe.lineWidth(this.contourWidth[He]*this.pixelRatio),mt=0;mt<this.contourLevels[He].length;++mt)mt===this.highlightLevel[He]?(Vt.uniforms.contourColor=this.highlightColor[He],Vt.uniforms.contourTint=this.highlightTint[He]):(mt===0||mt-1===this.highlightLevel[He])&&(Vt.uniforms.contourColor=this.contourColor[He],Vt.uniforms.contourTint=this.contourTint[He]),this._contourCounts[He][mt]&&(Vt.uniforms.height=this.contourLevels[He][mt],rr.draw(Pe.LINES,this._contourCounts[He][mt],this._contourOffsets[He][mt]));for(He=0;He<3;++He)for(Vt.uniforms.model=ar.projections[He],Vt.uniforms.clipBounds=ar.clipBounds[He],mt=0;mt<3;++mt)if(this.contourProject[He][mt]){Vt.uniforms.permutation=q[mt],Pe.lineWidth(this.contourWidth[mt]*this.pixelRatio);for(var tt=0;tt<this.contourLevels[mt].length;++tt)tt===this.highlightLevel[mt]?(Vt.uniforms.contourColor=this.highlightColor[mt],Vt.uniforms.contourTint=this.highlightTint[mt]):(tt===0||tt-1===this.highlightLevel[mt])&&(Vt.uniforms.contourColor=this.contourColor[mt],Vt.uniforms.contourTint=this.contourTint[mt]),this._contourCounts[mt][tt]&&(Vt.uniforms.height=this.contourLevels[mt][tt],rr.draw(Pe.LINES,this._contourCounts[mt][tt],this._contourOffsets[mt][tt]))}for(rr.unbind(),rr=this._dynamicVAO,rr.bind(),He=0;He<3;++He)if(this._dynamicCounts[He]!==0)for(Vt.uniforms.model=ce.model,Vt.uniforms.clipBounds=ce.clipBounds,Vt.uniforms.permutation=q[He],Pe.lineWidth(this.dynamicWidth[He]*this.pixelRatio),Vt.uniforms.contourColor=this.dynamicColor[He],Vt.uniforms.contourTint=this.dynamicTint[He],Vt.uniforms.height=this.dynamicLevel[He],rr.draw(Pe.LINES,this._dynamicCounts[He],this._dynamicOffsets[He]),mt=0;mt<3;++mt)this.contourProject[mt][He]&&(Vt.uniforms.model=ar.projections[mt],Vt.uniforms.clipBounds=ar.clipBounds[mt],rr.draw(Pe.LINES,this._dynamicCounts[He],this._dynamicOffsets[He]));rr.unbind()}}j.draw=function(Le){return ge.call(this,Le,!1)},j.drawTransparent=function(Le){return ge.call(this,Le,!0)};var ie={model:E,view:E,projection:E,inverseModel:E,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(Le){Le=Le||{};var me=this.gl;me.disable(me.CULL_FACE);var Pe=ie;Pe.model=Le.model||E,Pe.view=Le.view||E,Pe.projection=Le.projection||E,Pe.shape=this._field[2].shape,Pe.pickId=this.pickId/255,Pe.lowerBound=this.bounds[0],Pe.upperBound=this.bounds[1],Pe.objectOffset=this.objectOffset,Pe.permutation=Ce;for(var ce=0;ce<2;++ce)for(var He=Pe.clipBounds[ce],lt=0;lt<3;++lt)He[lt]=Math.min(Math.max(this.clipBounds[ce][lt],-1e8),1e8);var mt=ae(Pe,this);if(mt.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Pe,this._vao.bind(),this._vao.draw(me.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=mt.projections[ce],this._pickShader.uniforms.clipBounds=mt.clipBounds[ce],this._vao.draw(me.TRIANGLES,this._vertexCount));this._vao.unbind()}if(mt.showContour){var Ht=this._contourPickShader;Ht.bind(),Ht.uniforms=Pe;var at=this._contourVAO;for(at.bind(),lt=0;lt<3;++lt)for(me.lineWidth(this.contourWidth[lt]*this.pixelRatio),Ht.uniforms.permutation=q[lt],ce=0;ce<this.contourLevels[lt].length;++ce)this._contourCounts[lt][ce]&&(Ht.uniforms.height=this.contourLevels[lt][ce],at.draw(me.LINES,this._contourCounts[lt][ce],this._contourOffsets[lt][ce]));for(ce=0;ce<3;++ce)for(Ht.uniforms.model=mt.projections[ce],Ht.uniforms.clipBounds=mt.clipBounds[ce],lt=0;lt<3;++lt)if(this.contourProject[ce][lt]){Ht.uniforms.permutation=q[lt],me.lineWidth(this.contourWidth[lt]*this.pixelRatio);for(var ct=0;ct<this.contourLevels[lt].length;++ct)this._contourCounts[lt][ct]&&(Ht.uniforms.height=this.contourLevels[lt][ct],at.draw(me.LINES,this._contourCounts[lt][ct],this._contourOffsets[lt][ct]))}at.unbind()}},j.pick=function(Le){if(!Le||Le.id!==this.pickId)return null;var me=this._field[2].shape,Pe=this._pickResult,ce=me[0]*(Le.value[0]+(Le.value[2]>>4)/16)/255,He=Math.floor(ce),lt=ce-He,mt=me[1]*(Le.value[1]+(Le.value[2]&15)/16)/255,Ht=Math.floor(mt),at=mt-Ht;He+=1,Ht+=1;var ct=Pe.position;ct[0]=ct[1]=ct[2]=0;for(var ar=0;ar<2;++ar)for(var Vt=ar?lt:1-lt,rr=0;rr<2;++rr)for(var tt=rr?at:1-at,je=He+ar,Ue=Ht+rr,Ae=Vt*tt,rt=0;rt<3;++rt)ct[rt]+=this._field[rt].get(je,Ue)*Ae;for(var St=this._pickResult.level,Tt=0;Tt<3;++Tt)if(St[Tt]=M.le(this.contourLevels[Tt],ct[Tt]),St[Tt]<0)this.contourLevels[Tt].length>0&&(St[Tt]=0);else if(St[Tt]<this.contourLevels[Tt].length-1){var dt=this.contourLevels[Tt][St[Tt]],Et=this.contourLevels[Tt][St[Tt]+1];Math.abs(dt-ct[Tt])>Math.abs(Et-ct[Tt])&&(St[Tt]+=1)}for(Pe.index[0]=lt<.5?He:He+1,Pe.index[1]=at<.5?Ht:Ht+1,Pe.uv[0]=ce/me[0],Pe.uv[1]=mt/me[1],rt=0;rt<3;++rt)Pe.dataCoordinate[rt]=this._field[rt].get(Pe.index[0],Pe.index[1]);return Pe},j.padField=function(Le,me){var Pe=me.shape.slice(),ce=Le.shape.slice();d.assign(Le.lo(1,1).hi(Pe[0],Pe[1]),me),d.assign(Le.lo(1).hi(Pe[0],1),me.hi(Pe[0],1)),d.assign(Le.lo(1,ce[1]-1).hi(Pe[0],1),me.lo(0,Pe[1]-1).hi(Pe[0],1)),d.assign(Le.lo(0,1).hi(1,Pe[1]),me.hi(1)),d.assign(Le.lo(ce[0]-1,1).hi(1,Pe[1]),me.lo(Pe[0]-1)),Le.set(0,0,me.get(0,0)),Le.set(0,ce[1]-1,me.get(0,Pe[1]-1)),Le.set(ce[0]-1,0,me.get(Pe[0]-1,0)),Le.set(ce[0]-1,ce[1]-1,me.get(Pe[0]-1,Pe[1]-1))};function Se(Le,me){return Array.isArray(Le)?[me(Le[0]),me(Le[1]),me(Le[2])]:[me(Le),me(Le),me(Le)]}function ke(Le){return Array.isArray(Le)?Le.length===3?[Le[0],Le[1],Le[2],1]:[Le[0],Le[1],Le[2],Le[3]]:[0,0,0,1]}function be(Le){if(Array.isArray(Le)){if(Array.isArray(Le))return[ke(Le[0]),ke(Le[1]),ke(Le[2])];var me=ke(Le);return[me.slice(),me.slice(),me.slice()]}}j.update=function(Le){Le=Le||{},this.objectOffset=Le.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Le&&(this.contourWidth=Se(Le.contourWidth,Number)),\"showContour\"in Le&&(this.showContour=Se(Le.showContour,Boolean)),\"showSurface\"in Le&&(this.showSurface=!!Le.showSurface),\"contourTint\"in Le&&(this.contourTint=Se(Le.contourTint,Boolean)),\"contourColor\"in Le&&(this.contourColor=be(Le.contourColor)),\"contourProject\"in Le&&(this.contourProject=Se(Le.contourProject,function(yn){return Se(yn,Boolean)})),\"surfaceProject\"in Le&&(this.surfaceProject=Le.surfaceProject),\"dynamicColor\"in Le&&(this.dynamicColor=be(Le.dynamicColor)),\"dynamicTint\"in Le&&(this.dynamicTint=Se(Le.dynamicTint,Number)),\"dynamicWidth\"in Le&&(this.dynamicWidth=Se(Le.dynamicWidth,Number)),\"opacity\"in Le&&(this.opacity=Le.opacity),\"opacityscale\"in Le&&(this.opacityscale=Le.opacityscale),\"colorBounds\"in Le&&(this.colorBounds=Le.colorBounds),\"vertexColor\"in Le&&(this.vertexColor=Le.vertexColor?1:0),\"colormap\"in Le&&this._colorMap.setPixels(this.genColormap(Le.colormap,this.opacityscale));var me=Le.field||Le.coords&&Le.coords[2]||null,Pe=!1;if(me||(this._field[2].shape[0]||this._field[2].shape[2]?me=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):me=this._field[2].hi(0,0)),\"field\"in Le||\"coords\"in Le){var ce=(me.shape[0]+2)*(me.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=m(this._field[2].data,[me.shape[0]+2,me.shape[1]+2]),this.padField(this._field[2],me),this.shape=me.shape.slice();for(var He=this.shape,lt=0;lt<2;++lt)this._field[2].size>this._field[lt].data.length&&(f.freeFloat(this._field[lt].data),this._field[lt].data=f.mallocFloat(this._field[2].size)),this._field[lt]=m(this._field[lt].data,[He[0]+2,He[1]+2]);if(Le.coords){var mt=Le.coords;if(!Array.isArray(mt)||mt.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(lt=0;lt<2;++lt){var Ht=mt[lt];for(rr=0;rr<2;++rr)if(Ht.shape[rr]!==He[rr])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[lt],Ht)}}else if(Le.ticks){var at=Le.ticks;if(!Array.isArray(at)||at.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(lt=0;lt<2;++lt){var ct=at[lt];if((Array.isArray(ct)||ct.length)&&(ct=m(ct)),ct.shape[0]!==He[lt])throw new Error(\"gl-surface: invalid tick length\");var ar=m(ct.data,He);ar.stride[lt]=ct.stride[0],ar.stride[lt^1]=0,this.padField(this._field[lt],ar)}}else{for(lt=0;lt<2;++lt){var Vt=[0,0];Vt[lt]=1,this._field[lt]=m(this._field[lt].data,[He[0]+2,He[1]+2],Vt,0)}this._field[0].set(0,0,0);for(var rr=0;rr<He[0];++rr)this._field[0].set(rr+1,0,rr);for(this._field[0].set(He[0]+1,0,He[0]-1),this._field[1].set(0,0,0),rr=0;rr<He[1];++rr)this._field[1].set(0,rr+1,rr);this._field[1].set(0,He[1]+1,He[1]-1)}var tt=this._field,je=m(f.mallocFloat(tt[2].size*3*2),[3,He[0]+2,He[1]+2,2]);for(lt=0;lt<3;++lt)T(je.pick(lt),tt[lt],\"mirror\");var Ue=m(f.mallocFloat(tt[2].size*3),[He[0]+2,He[1]+2,3]);for(lt=0;lt<He[0]+2;++lt)for(rr=0;rr<He[1]+2;++rr){var Ae=je.get(0,lt,rr,0),rt=je.get(0,lt,rr,1),St=je.get(1,lt,rr,0),Tt=je.get(1,lt,rr,1),dt=je.get(2,lt,rr,0),Et=je.get(2,lt,rr,1),pt=St*Et-Tt*dt,jt=dt*rt-Et*Ae,or=Ae*Tt-rt*St,mr=Math.sqrt(pt*pt+jt*jt+or*or);mr<1e-8?(mr=Math.max(Math.abs(pt),Math.abs(jt),Math.abs(or)),mr<1e-8?(or=1,jt=pt=0,mr=1):mr=1/mr):mr=1/Math.sqrt(mr),Ue.set(lt,rr,0,pt*mr),Ue.set(lt,rr,1,jt*mr),Ue.set(lt,rr,2,or*mr)}f.free(je.data);var Ar=[1/0,1/0,1/0],ei=[-1/0,-1/0,-1/0],qr=1/0,jr=-1/0,gt=(He[0]-1)*(He[1]-1)*6,Ge=f.mallocFloat(s.nextPow2(10*gt)),Je=0,We=0;for(lt=0;lt<He[0]-1;++lt)e:for(rr=0;rr<He[1]-1;++rr){for(var et=0;et<2;++et)for(var xt=0;xt<2;++xt)for(var At=0;At<3;++At){var Kt=this._field[At].get(1+lt+et,1+rr+xt);if(isNaN(Kt)||!isFinite(Kt))continue e}for(At=0;At<6;++At){var Qt=lt+z[At][0],Mr=rr+z[At][1],Gr=this._field[0].get(Qt+1,Mr+1),Ir=this._field[1].get(Qt+1,Mr+1);Kt=this._field[2].get(Qt+1,Mr+1),pt=Ue.get(Qt+1,Mr+1,0),jt=Ue.get(Qt+1,Mr+1,1),or=Ue.get(Qt+1,Mr+1,2),Le.intensity&&(Yr=Le.intensity.get(Qt,Mr));var Yr=Le.intensity?Le.intensity.get(Qt,Mr):Kt+this.objectOffset[2];Ge[Je++]=Qt,Ge[Je++]=Mr,Ge[Je++]=Gr,Ge[Je++]=Ir,Ge[Je++]=Kt,Ge[Je++]=0,Ge[Je++]=Yr,Ge[Je++]=pt,Ge[Je++]=jt,Ge[Je++]=or,Ar[0]=Math.min(Ar[0],Gr+this.objectOffset[0]),Ar[1]=Math.min(Ar[1],Ir+this.objectOffset[1]),Ar[2]=Math.min(Ar[2],Kt+this.objectOffset[2]),qr=Math.min(qr,Yr),ei[0]=Math.max(ei[0],Gr+this.objectOffset[0]),ei[1]=Math.max(ei[1],Ir+this.objectOffset[1]),ei[2]=Math.max(ei[2],Kt+this.objectOffset[2]),jr=Math.max(jr,Yr),We+=1}}for(Le.intensityBounds&&(qr=+Le.intensityBounds[0],jr=+Le.intensityBounds[1]),lt=6;lt<Je;lt+=10)Ge[lt]=(Ge[lt]-qr)/(jr-qr);this._vertexCount=We,this._coordinateBuffer.update(Ge.subarray(0,Je)),f.freeFloat(Ge),f.free(Ue.data),this.bounds=[Ar,ei],this.intensity=Le.intensity||this._field[2],(this.intensityBounds[0]!==qr||this.intensityBounds[1]!==jr)&&(Pe=!0),this.intensityBounds=[qr,jr]}if(\"levels\"in Le){var _i=Le.levels;for(Array.isArray(_i[0])?_i=_i.slice():_i=[[],[],_i],lt=0;lt<3;++lt)_i[lt]=_i[lt].slice(),_i[lt].sort(function(yn,Mn){return yn-Mn});for(lt=0;lt<3;++lt)for(rr=0;rr<_i[lt].length;++rr)_i[lt][rr]-=this.objectOffset[lt];e:for(lt=0;lt<3;++lt){if(_i[lt].length!==this.contourLevels[lt].length){Pe=!0;break}for(rr=0;rr<_i[lt].length;++rr)if(_i[lt][rr]!==this.contourLevels[lt][rr]){Pe=!0;break e}}this.contourLevels=_i}if(Pe){tt=this._field,He=this.shape;for(var Pi=[],ai=0;ai<3;++ai){var mi=this.contourLevels[ai],un=[],Fn=[],An=[0,0,0];for(lt=0;lt<mi.length;++lt){var Hn=b(this._field[ai],mi[lt]);un.push(Pi.length/5|0),We=0;e:for(rr=0;rr<Hn.cells.length;++rr){var Qn=Hn.cells[rr];for(At=0;At<2;++At){var Vi=Hn.positions[Qn[At]],Jn=Vi[0],Yn=Math.floor(Jn)|0,Gt=Jn-Yn,wt=Vi[1],tr=Math.floor(wt)|0,ir=wt-tr,wr=!1;t:for(var Xr=0;Xr<3;++Xr){An[Xr]=0;var ti=(ai+Xr+1)%3;for(et=0;et<2;++et){var $r=et?Gt:1-Gt;for(Qt=Math.min(Math.max(Yn+et,0),He[0])|0,xt=0;xt<2;++xt){var Ri=xt?ir:1-ir;if(Mr=Math.min(Math.max(tr+xt,0),He[1])|0,Xr<2?Kt=this._field[ti].get(Qt,Mr):Kt=(this.intensity.get(Qt,Mr)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Kt)||isNaN(Kt)){wr=!0;break t}var Hi=$r*Ri;An[Xr]+=Hi*Kt}}}if(!wr)Pi.push(An[0],An[1],Vi[0],Vi[1],An[2]),We+=1;else{if(At>0){for(var en=0;en<5;++en)Pi.pop();We-=1}continue e}}}Fn.push(We)}this._contourOffsets[ai]=un,this._contourCounts[ai]=Fn}var fn=f.mallocFloat(Pi.length);for(lt=0;lt<Pi.length;++lt)fn[lt]=Pi[lt];this._contourBuffer.update(fn),f.freeFloat(fn)}},j.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var Le=0;Le<3;++Le)f.freeFloat(this._field[Le].data)},j.highlight=function(Le){var me;if(!Le){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(me=0;me<3;++me)this.enableHighlight[me]?this.highlightLevel[me]=Le.level[me]:this.highlightLevel[me]=-1;var Pe;for(this.snapToData?Pe=Le.dataCoordinate:Pe=Le.position,me=0;me<3;++me)Pe[me]-=this.objectOffset[me];if(!((!this.enableDynamic[0]||Pe[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Pe[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Pe[2]===this.dynamicLevel[2]))){for(var ce=0,He=this.shape,lt=f.mallocFloat(12*He[0]*He[1]),mt=0;mt<3;++mt){if(!this.enableDynamic[mt]){this.dynamicLevel[mt]=NaN,this._dynamicCounts[mt]=0;continue}this.dynamicLevel[mt]=Pe[mt];var Ht=(mt+1)%3,at=(mt+2)%3,ct=this._field[mt],ar=this._field[Ht],Vt=this._field[at],rr=b(ct,Pe[mt]),tt=rr.cells,je=rr.positions;for(this._dynamicOffsets[mt]=ce,me=0;me<tt.length;++me)for(var Ue=tt[me],Ae=0;Ae<2;++Ae){var rt=je[Ue[Ae]],St=+rt[0],Tt=St|0,dt=Math.min(Tt+1,He[0])|0,Et=St-Tt,pt=1-Et,jt=+rt[1],or=jt|0,mr=Math.min(or+1,He[1])|0,Ar=jt-or,ei=1-Ar,qr=pt*ei,jr=pt*Ar,gt=Et*ei,Ge=Et*Ar,Je=qr*ar.get(Tt,or)+jr*ar.get(Tt,mr)+gt*ar.get(dt,or)+Ge*ar.get(dt,mr),We=qr*Vt.get(Tt,or)+jr*Vt.get(Tt,mr)+gt*Vt.get(dt,or)+Ge*Vt.get(dt,mr);if(isNaN(Je)||isNaN(We)){Ae&&(ce-=1);break}lt[2*ce+0]=Je,lt[2*ce+1]=We,ce+=1}this._dynamicCounts[mt]=ce-this._dynamicOffsets[mt]}this._dynamicBuffer.update(lt.subarray(0,2*ce)),f.freeFloat(lt)}};function Be(Le){var me=Le.gl,Pe=x(me),ce=S(me),He=C(me),lt=g(me),mt=l(me),Ht=u(me,[{buffer:mt,size:4,stride:P,offset:0},{buffer:mt,size:3,stride:P,offset:16},{buffer:mt,size:3,stride:P,offset:28}]),at=l(me),ct=u(me,[{buffer:at,size:4,stride:20,offset:0},{buffer:at,size:1,stride:20,offset:16}]),ar=l(me),Vt=u(me,[{buffer:ar,size:2,type:me.FLOAT}]),rr=c(me,1,G,me.RGBA,me.UNSIGNED_BYTE);rr.minFilter=me.LINEAR,rr.magFilter=me.LINEAR;var tt=new Z(me,[0,0],[[0,0,0],[0,0,0]],Pe,ce,mt,Ht,rr,He,lt,at,ct,ar,Vt,[0,0,0]),je={levels:[[],[],[]]};for(var Ue in Le)je[Ue]=Le[Ue];return je.colormap=je.colormap||\"jet\",tt.update(je),tt}}),7766:(function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=g;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var m=function(P,E){l.muls(P,E,255)};function b(P,E,z){var q=P.gl,V=q.getParameter(q.MAX_TEXTURE_SIZE);if(E<0||E>V||z<0||z>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[E,z],P.bind(),q.texImage2D(q.TEXTURE_2D,0,P.format,E,z,0,P.format,P.type,null),P._mipLevels=[0],P}function p(P,E,z,q,V,G){this.gl=P,this.handle=E,this.format=V,this.type=G,this._shape=[z,q],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var Z=this,j=[this._wrapS,this._wrapT];Object.defineProperties(j,[{get:function(){return Z._wrapS},set:function(H){return Z.wrapS=H}},{get:function(){return Z._wrapT},set:function(H){return Z.wrapT=H}}]),this._wrapVector=j;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return Z._shape[0]},set:function(H){return Z.width=H}},{get:function(){return Z._shape[1]},set:function(H){return Z.height=H}}]),this._shapeVector=N}var k=p.prototype;Object.defineProperties(k,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var E=this.gl;if(this.type===E.FLOAT&&c.indexOf(P)>=0&&(E.getExtension(\"OES_texture_float_linear\")||(P=E.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return E.texParameteri(E.TEXTURE_2D,E.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var E=this.gl;if(this.type===E.FLOAT&&c.indexOf(P)>=0&&(E.getExtension(\"OES_texture_float_linear\")||(P=E.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return E.texParameteri(E.TEXTURE_2D,E.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var E=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,E!==this._anisoSamples){var z=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");z&&this.gl.texParameterf(this.gl.TEXTURE_2D,z.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var E=0;E<2;++E)if(h.indexOf(P[E])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var z=this.gl;return this.bind(),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_S,this._wrapS),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),k.bind=function(P){var E=this.gl;return P!==void 0&&E.activeTexture(E.TEXTURE0+(P|0)),E.bindTexture(E.TEXTURE_2D,this.handle),P!==void 0?P|0:E.getParameter(E.ACTIVE_TEXTURE)-E.TEXTURE0},k.dispose=function(){this.gl.deleteTexture(this.handle)},k.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),E=0;P>0;++E,P>>>=1)this._mipLevels.indexOf(E)<0&&this._mipLevels.push(E)},k.setPixels=function(P,E,z,q){var V=this.gl;this.bind(),Array.isArray(E)?(q=z,z=E[1]|0,E=E[0]|0):(E=E||0,z=z||0),q=q||0;var G=v(P)?P:P.raw;if(G){var Z=this._mipLevels.indexOf(q)<0;Z?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,G),this._mipLevels.push(q)):V.texSubImage2D(V.TEXTURE_2D,q,E,z,this.format,this.type,G)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||E+P.shape[1]>this._shape[1]>>>q||z+P.shape[0]>this._shape[0]>>>q||E<0||z<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");T(V,E,z,q,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function M(P,E){return P.length===3?E[2]===1&&E[1]===P[0]*P[2]&&E[0]===P[2]:E[0]===1&&E[1]===P[0]}function T(P,E,z,q,V,G,Z,j){var N=j.dtype,H=j.shape.slice();if(H.length<2||H.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var re=0,ae=0,_e=M(H,j.stride.slice());N===\"float32\"?re=P.FLOAT:N===\"float64\"?(re=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?re=P.UNSIGNED_BYTE:(re=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Ee=1;if(H.length===2)ae=P.LUMINANCE,H=[H[0],H[1],1],j=s(j.data,H,[j.stride[0],j.stride[1],1],j.offset);else if(H.length===3){if(H[2]===1)ae=P.ALPHA;else if(H[2]===2)ae=P.LUMINANCE_ALPHA;else if(H[2]===3)ae=P.RGB;else if(H[2]===4)ae=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Ee=H[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((ae===P.LUMINANCE||ae===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(ae=V),ae!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var Ce=j.size,ge=Z.indexOf(q)<0;if(ge&&Z.push(q),re===G&&_e)j.offset===0&&j.data.length===Ce?ge?P.texImage2D(P.TEXTURE_2D,q,V,H[0],H[1],0,V,G,j.data):P.texSubImage2D(P.TEXTURE_2D,q,E,z,H[0],H[1],V,G,j.data):ge?P.texImage2D(P.TEXTURE_2D,q,V,H[0],H[1],0,V,G,j.data.subarray(j.offset,j.offset+Ce)):P.texSubImage2D(P.TEXTURE_2D,q,E,z,H[0],H[1],V,G,j.data.subarray(j.offset,j.offset+Ce));else{var ie;G===P.FLOAT?ie=u.mallocFloat32(Ce):ie=u.mallocUint8(Ce);var 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z=this.shape[0],q=this.shape[1],V=this.shape[2],G=this.shape[3],Z=this.shape[4],j=this.stride[0],N=this.stride[1],H=this.stride[2],re=this.stride[3],ae=this.stride[4],_e=this.offset,Ee=0,Ce=Math.ceil;return typeof C==\"number\"&&(Ee=C|0,Ee<0?(_e+=j*(z-1),z=Ce(-z/Ee)):z=Ce(z/Ee),j*=Ee),typeof S==\"number\"&&(Ee=S|0,Ee<0?(_e+=N*(q-1),q=Ce(-q/Ee)):q=Ce(q/Ee),N*=Ee),typeof g==\"number\"&&(Ee=g|0,Ee<0?(_e+=H*(V-1),V=Ce(-V/Ee)):V=Ce(V/Ee),H*=Ee),typeof P==\"number\"&&(Ee=P|0,Ee<0?(_e+=re*(G-1),G=Ce(-G/Ee)):G=Ce(G/Ee),re*=Ee),typeof E==\"number\"&&(Ee=E|0,Ee<0?(_e+=ae*(Z-1),Z=Ce(-Z/Ee)):Z=Ce(Z/Ee),ae*=Ee),new T(this.data,z,q,V,G,Z,j,N,H,re,ae,_e)},L.transpose=function(C,S,g,P,E){C=C===void 0?0:C|0,S=S===void 0?1:S|0,g=g===void 0?2:g|0,P=P===void 0?3:P|0,E=E===void 0?4:E|0;var z=this.shape,q=this.stride;return new T(this.data,z[C],z[S],z[g],z[P],z[E],q[C],q[S],q[g],q[P],q[E],this.offset)},L.pick=function(C,S,g,P,E){var z=[],q=[],V=this.offset;typeof 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Int32Array]\":return\"int32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(b)?\"array\":\"generic\"}var v={generic:[],buffer:[],array:[],float32:[],float64:[],int8:[],int16:[],int32:[],uint8_clamped:[],uint8:[],uint16:[],uint32:[],bigint64:[],biguint64:[]};function m(b,p,k,M){if(b===void 0){var g=v.array[0];return g([])}else typeof b==\"number\"&&(b=[b]);p===void 0&&(p=[b.length]);var T=p.length;if(k===void 0){k=new Array(T);for(var L=T-1,x=1;L>=0;--L)k[L]=x,x*=p[L]}if(M===void 0){M=0;for(var L=0;L<T;++L)k[L]<0&&(M-=(p[L]-1)*k[L])}for(var C=d(b),S=v[C];S.length<=T+1;)S.push(h(C,S.length-1));var g=S[T+1];return g(b,p,k,M)}i.exports=m}),1278:(function(i,a,o){\"use strict\";var 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g=0;g<3;++g){for(var P=0,E=0;E<3;++E)P+=T[g+4*E]*x[E];T[12+g]=-P}},b.getMatrix=function(k,M){this.recalcMatrix(k);var T=this.computedMatrix;if(M){for(var L=0;L<16;++L)M[L]=T[L];return M}return T},b.idle=function(k){this.center.idle(k),this.radius.idle(k),this.rotation.idle(k)},b.flush=function(k){this.center.flush(k),this.radius.flush(k),this.rotation.flush(k)},b.pan=function(k,M,T,L){M=M||0,T=T||0,L=L||0,this.recalcMatrix(k);var x=this.computedMatrix,C=x[1],S=x[5],g=x[9],P=h(C,S,g);C/=P,S/=P,g/=P;var E=x[0],z=x[4],q=x[8],V=E*C+z*S+q*g;E-=C*V,z-=S*V,q-=g*V;var G=h(E,z,q);E/=G,z/=G,q/=G;var Z=x[2],j=x[6],N=x[10],H=Z*C+j*S+N*g,re=Z*E+j*z+N*q;Z-=H*C+re*E,j-=H*S+re*z,N-=H*g+re*q;var ae=h(Z,j,N);Z/=ae,j/=ae,N/=ae;var _e=E*M+C*T,Ee=z*M+S*T,Ce=q*M+g*T;this.center.move(k,_e,Ee,Ce);var ge=Math.exp(this.computedRadius[0]);ge=Math.max(1e-4,ge+L),this.radius.set(k,Math.log(ge))},b.rotate=function(k,M,T,L){this.recalcMatrix(k),M=M||0,T=T||0;var x=this.computedMatrix,C=x[0],S=x[4],g=x[8],P=x[1],E=x[5],z=x[9],q=x[2],V=x[6],G=x[10],Z=M*C+T*P,j=M*S+T*E,N=M*g+T*z,H=-(V*N-G*j),re=-(G*Z-q*N),ae=-(q*j-V*Z),_e=Math.sqrt(Math.max(0,1-Math.pow(H,2)-Math.pow(re,2)-Math.pow(ae,2))),Ee=d(H,re,ae,_e);Ee>1e-6?(H/=Ee,re/=Ee,ae/=Ee,_e/=Ee):(H=re=ae=0,_e=1);var Ce=this.computedRotation,ge=Ce[0],ie=Ce[1],Se=Ce[2],ke=Ce[3],be=ge*_e+ke*H+ie*ae-Se*re,Be=ie*_e+ke*re+Se*H-ge*ae,Le=Se*_e+ke*ae+ge*re-ie*H,me=ke*_e-ge*H-ie*re-Se*ae;if(L){H=q,re=V,ae=G;var Pe=Math.sin(L)/h(H,re,ae);H*=Pe,re*=Pe,ae*=Pe,_e=Math.cos(M),be=be*_e+me*H+Be*ae-Le*re,Be=Be*_e+me*re+Le*H-be*ae,Le=Le*_e+me*ae+be*re-Be*H,me=me*_e-be*H-Be*re-Le*ae}var ce=d(be,Be,Le,me);ce>1e-6?(be/=ce,Be/=ce,Le/=ce,me/=ce):(be=Be=Le=0,me=1),this.rotation.set(k,be,Be,Le,me)},b.lookAt=function(k,M,T,L){this.recalcMatrix(k),T=T||this.computedCenter,M=M||this.computedEye,L=L||this.computedUp;var x=this.computedMatrix;l(x,M,T,L);var C=this.computedRotation;f(C,x[0],x[1],x[2],x[4],x[5],x[6],x[8],x[9],x[10]),v(C,C),this.rotation.set(k,C[0],C[1],C[2],C[3]);for(var S=0,g=0;g<3;++g)S+=Math.pow(T[g]-M[g],2);this.radius.set(k,.5*Math.log(Math.max(S,1e-6))),this.center.set(k,T[0],T[1],T[2])},b.translate=function(k,M,T,L){this.center.move(k,M||0,T||0,L||0)},b.setMatrix=function(k,M){var T=this.computedRotation;f(T,M[0],M[1],M[2],M[4],M[5],M[6],M[8],M[9],M[10]),v(T,T),this.rotation.set(k,T[0],T[1],T[2],T[3]);var L=this.computedMatrix;c(L,M);var x=L[15];if(Math.abs(x)>1e-6){var C=L[12]/x,S=L[13]/x,g=L[14]/x;this.recalcMatrix(k);var P=Math.exp(this.computedRadius[0]);this.center.set(k,C-L[2]*P,S-L[6]*P,g-L[10]*P),this.radius.idle(k)}else 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9:m.push([l(h,f,p[3],p[1]),l(h,f,p[0],p[1]),l(h,f,p[0],p[2])],[l(h,f,p[3],p[2]),l(h,f,p[3],p[1]),l(h,f,p[0],p[2])]);break;case 10:m.push([l(h,f,p[1],p[0]),l(h,f,p[3],p[0]),l(h,f,p[1],p[2])],[l(h,f,p[3],p[0]),l(h,f,p[3],p[2]),l(h,f,p[1],p[2])]);break;case 11:m.push([l(h,f,p[1],p[2]),l(h,f,p[0],p[2]),l(h,f,p[3],p[2])]);break;case 12:m.push([l(h,f,p[3],p[0]),l(h,f,p[2],p[0]),l(h,f,p[2],p[1])],[l(h,f,p[3],p[1]),l(h,f,p[3],p[0]),l(h,f,p[2],p[1])]);break;case 13:m.push([l(h,f,p[0],p[1]),l(h,f,p[2],p[1]),l(h,f,p[3],p[1])]);break;case 14:m.push([l(h,f,p[2],p[0]),l(h,f,p[1],p[0]),l(h,f,p[3],p[0])]);break;case 15:break}}else if(k===3){var M=(d[p[0]]<<0)+(d[p[1]]<<1)+(d[p[2]]<<2);if(M===0||M===7)continue;switch(M){case 0:break;case 1:m.push([l(h,f,p[0],p[2]),l(h,f,p[0],p[1])]);break;case 2:m.push([l(h,f,p[1],p[0]),l(h,f,p[1],p[2])]);break;case 3:m.push([l(h,f,p[0],p[2]),l(h,f,p[1],p[2])]);break;case 4:m.push([l(h,f,p[2],p[1]),l(h,f,p[2],p[0])]);break;case 5:m.push([l(h,f,p[2],p[1]),l(h,f,p[0],p[1])]);break;case 6:m.push([l(h,f,p[1],p[0]),l(h,f,p[2],p[0])]);break;case 7:break}}else if(k===2){var M=(d[p[0]]<<0)+(d[p[1]]<<1);if(M===0||M===3)continue;switch(M){case 0:break;case 1:m.push([l(h,f,p[0],p[1])]);break;case 2:m.push([l(h,f,p[1],p[0])]);break;case 3:break}}}return m}return u}];function o(s){return a[s]()}}),6803:(function(i,a,o){\"use strict\";var s,l=o(8828),u=o(1755);function c(P){for(var E=0,z=Math.max,q=0,V=P.length;q<V;++q)E=z(E,P[q].length);return E-1}s=c;function f(P){for(var E=-1,z=Math.max,q=0,V=P.length;q<V;++q)for(var G=P[q],Z=0,j=G.length;Z<j;++Z)E=z(E,G[Z]);return E+1}s=f;function h(P){for(var E=new Array(P.length),z=0,q=P.length;z<q;++z)E[z]=P[z].slice(0);return E}s=h;function d(P,E){var z=P.length,q=P.length-E.length,V=Math.min;if(q)return q;switch(z){case 0:return 0;case 1:return P[0]-E[0];case 2:var H=P[0]+P[1]-E[0]-E[1];return H||V(P[0],P[1])-V(E[0],E[1]);case 3:var 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V=P[q],G=0;G<V.length;++G)for(var Z=G+1;Z<V.length;++Z)z.link(V[G],V[Z]);for(var j=[],N=z.ranks,q=0;q<N.length;++q)N[q]=-1;for(var q=0;q<P.length;++q){var H=z.find(P[q][0]);N[H]<0?(N[H]=j.length,j.push([P[q].slice(0)])):j[N[H]].push(P[q].slice(0))}return j}function S(P){for(var E=b(m(L(P,0))),z=new u(E.length),q=0;q<P.length;++q)for(var V=P[q],G=0;G<V.length;++G)for(var Z=p(E,[V[G]]),j=G+1;j<V.length;++j)z.link(Z,p(E,[V[j]]));for(var N=[],H=z.ranks,q=0;q<H.length;++q)H[q]=-1;for(var q=0;q<P.length;++q){var re=z.find(p(E,[P[q][0]]));H[re]<0?(H[re]=N.length,N.push([P[q].slice(0)])):N[H[re]].push(P[q].slice(0))}return N}function g(P,E){return E?C(P,E):S(P)}s=g}),3105:(function(i,a){\"use strict\";\"use restrict\";var o=32;a.INT_BITS=o,a.INT_MAX=2147483647,a.INT_MIN=-1<<o-1,a.sign=function(u){return(u>0)-(u<0)},a.abs=function(u){var c=u>>o-1;return(u^c)-c},a.min=function(u,c){return c^(u^c)&-(u<c)},a.max=function(u,c){return u^(u^c)&-(u<c)},a.isPow2=function(u){return!(u&u-1)&&!!u},a.log2=function(u){var c,f;return c=(u>65535)<<4,u>>>=c,f=(u>255)<<3,u>>>=f,c|=f,f=(u>15)<<2,u>>>=f,c|=f,f=(u>3)<<1,u>>>=f,c|=f,c|u>>1},a.log10=function(u){return u>=1e9?9:u>=1e8?8:u>=1e7?7:u>=1e6?6:u>=1e5?5:u>=1e4?4:u>=1e3?3:u>=100?2:u>=10?1:0},a.popCount=function(u){return u=u-(u>>>1&1431655765),u=(u&858993459)+(u>>>2&858993459),(u+(u>>>4)&252645135)*16843009>>>24};function s(u){var c=32;return u&=-u,u&&c--,u&65535&&(c-=16),u&16711935&&(c-=8),u&252645135&&(c-=4),u&858993459&&(c-=2),u&1431655765&&(c-=1),c}a.countTrailingZeros=s,a.nextPow2=function(u){return u+=u===0,--u,u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u+1},a.prevPow2=function(u){return u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u-(u>>>1)},a.parity=function(u){return u^=u>>>16,u^=u>>>8,u^=u>>>4,u&=15,27030>>>u&1};var l=new Array(256);(function(u){for(var c=0;c<256;++c){var 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u=u>>>c&1227133513,u=(u|u>>>2)&3272356035,u=(u|u>>>4)&251719695,u=(u|u>>>8)&4278190335,u=(u|u>>>16)&1023,u<<22>>22},a.nextCombination=function(u){var c=u|u-1;return c+1|(~c&-~c)-1>>>s(u)+1}}),2014:(function(i,a,o){\"use strict\";\"use restrict\";var s=o(3105),l=o(4623);function u(g){for(var P=0,E=Math.max,z=0,q=g.length;z<q;++z)P=E(P,g[z].length);return P-1}a.dimension=u;function c(g){for(var P=-1,E=Math.max,z=0,q=g.length;z<q;++z)for(var V=g[z],G=0,Z=V.length;G<Z;++G)P=E(P,V[G]);return P+1}a.countVertices=c;function f(g){for(var P=new Array(g.length),E=0,z=g.length;E<z;++E)P[E]=g[E].slice(0);return P}a.cloneCells=f;function h(g,P){var E=g.length,z=g.length-P.length,q=Math.min;if(z)return z;switch(E){case 0:return 0;case 1:return g[0]-P[0];case 2:var N=g[0]+g[1]-P[0]-P[1];return N||q(g[0],g[1])-q(P[0],P[1]);case 3:var V=g[0]+g[1],G=P[0]+P[1];if(N=V+g[2]-(G+P[2]),N)return N;var Z=q(g[0],g[1]),j=q(P[0],P[1]),N=q(Z,g[2])-q(j,P[2]);return N||q(Z+g[2],V)-q(j+P[2],G);default:var 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b(T,L,x,C,S,g,P,E){this.center=s(x),this.up=s(C),this.right=s(S),this.radius=s([g]),this.angle=s([P,E]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(T,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var z=0;z<16;++z)this.computedMatrix[z]=.5;this.recalcMatrix(0)}var p=b.prototype;p.setDistanceLimits=function(T,L){T>0?T=Math.log(T):T=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,T),this.radius.bounds[0][0]=T,this.radius.bounds[1][0]=L},p.getDistanceLimits=function(T){var L=this.radius.bounds[0];return T?(T[0]=Math.exp(L[0][0]),T[1]=Math.exp(L[1][0]),T):[Math.exp(L[0][0]),Math.exp(L[1][0])]},p.recalcMatrix=function(T){this.center.curve(T),this.up.curve(T),this.right.curve(T),this.radius.curve(T),this.angle.curve(T);for(var L=this.computedUp,x=this.computedRight,C=0,S=0,g=0;g<3;++g)S+=L[g]*x[g],C+=L[g]*L[g];for(var P=Math.sqrt(C),E=0,g=0;g<3;++g)x[g]-=L[g]*S/C,E+=x[g]*x[g],L[g]/=P;for(var z=Math.sqrt(E),g=0;g<3;++g)x[g]/=z;var q=this.computedToward;c(q,L,x),f(q,q);for(var V=Math.exp(this.computedRadius[0]),G=this.computedAngle[0],Z=this.computedAngle[1],j=Math.cos(G),N=Math.sin(G),H=Math.cos(Z),re=Math.sin(Z),ae=this.computedCenter,_e=j*H,Ee=N*H,Ce=re,ge=-j*re,ie=-N*re,Se=H,ke=this.computedEye,be=this.computedMatrix,g=0;g<3;++g){var Be=_e*x[g]+Ee*q[g]+Ce*L[g];be[4*g+1]=ge*x[g]+ie*q[g]+Se*L[g],be[4*g+2]=Be,be[4*g+3]=0}var Le=be[1],me=be[5],Pe=be[9],ce=be[2],He=be[6],lt=be[10],mt=me*lt-Pe*He,Ht=Pe*ce-Le*lt,at=Le*He-me*ce,ct=d(mt,Ht,at);mt/=ct,Ht/=ct,at/=ct,be[0]=mt,be[4]=Ht,be[8]=at;for(var g=0;g<3;++g)ke[g]=ae[g]+be[2+4*g]*V;for(var g=0;g<3;++g){for(var E=0,ar=0;ar<3;++ar)E+=be[g+4*ar]*ke[ar];be[12+g]=-E}be[15]=1},p.getMatrix=function(T,L){this.recalcMatrix(T);var x=this.computedMatrix;if(L){for(var C=0;C<16;++C)L[C]=x[C];return L}return x};var k=[0,0,0];p.rotate=function(T,L,x,C){if(this.angle.move(T,L,x),C){this.recalcMatrix(T);var S=this.computedMatrix;k[0]=S[2],k[1]=S[6],k[2]=S[10];for(var g=this.computedUp,P=this.computedRight,E=this.computedToward,z=0;z<3;++z)S[4*z]=g[z],S[4*z+1]=P[z],S[4*z+2]=E[z];u(S,S,C,k);for(var z=0;z<3;++z)g[z]=S[4*z],P[z]=S[4*z+1];this.up.set(T,g[0],g[1],g[2]),this.right.set(T,P[0],P[1],P[2])}},p.pan=function(T,L,x,C){L=L||0,x=x||0,C=C||0,this.recalcMatrix(T);var S=this.computedMatrix,g=Math.exp(this.computedRadius[0]),P=S[1],E=S[5],z=S[9],q=d(P,E,z);P/=q,E/=q,z/=q;var V=S[0],G=S[4],Z=S[8],j=V*P+G*E+Z*z;V-=P*j,G-=E*j,Z-=z*j;var N=d(V,G,Z);V/=N,G/=N,Z/=N;var H=V*L+P*x,re=G*L+E*x,ae=Z*L+z*x;this.center.move(T,H,re,ae);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+C),this.radius.set(T,Math.log(_e))},p.translate=function(T,L,x,C){this.center.move(T,L||0,x||0,C||0)},p.setMatrix=function(T,L,x,C){var S=1;typeof x==\"number\"&&(S=x|0),(S<0||S>3)&&(S=1);var g=(S+2)%3,P=(S+1)%3;L||(this.recalcMatrix(T),L=this.computedMatrix);var E=L[S],z=L[S+4],q=L[S+8];if(C){var G=Math.abs(E),Z=Math.abs(z),j=Math.abs(q),N=Math.max(G,Z,j);G===N?(E=E<0?-1:1,z=q=0):j===N?(q=q<0?-1:1,E=z=0):(z=z<0?-1:1,E=q=0)}else{var V=d(E,z,q);E/=V,z/=V,q/=V}var H=L[g],re=L[g+4],ae=L[g+8],_e=H*E+re*z+ae*q;H-=E*_e,re-=z*_e,ae-=q*_e;var Ee=d(H,re,ae);H/=Ee,re/=Ee,ae/=Ee;var Ce=z*ae-q*re,ge=q*H-E*ae,ie=E*re-z*H,Se=d(Ce,ge,ie);Ce/=Se,ge/=Se,ie/=Se,this.center.jump(T,Ue,Ae,rt),this.radius.idle(T),this.up.jump(T,E,z,q),this.right.jump(T,H,re,ae);var ke,be;if(S===2){var Be=L[1],Le=L[5],me=L[9],Pe=Be*H+Le*re+me*ae,ce=Be*Ce+Le*ge+me*ie;Ht<0?ke=-Math.PI/2:ke=Math.PI/2,be=Math.atan2(ce,Pe)}else{var He=L[2],lt=L[6],mt=L[10],Ht=He*E+lt*z+mt*q,at=He*H+lt*re+mt*ae,ct=He*Ce+lt*ge+mt*ie;ke=Math.asin(v(Ht)),be=Math.atan2(ct,at)}this.angle.jump(T,be,ke),this.recalcMatrix(T);var ar=L[2],Vt=L[6],rr=L[10],tt=this.computedMatrix;l(tt,L);var je=tt[15],Ue=tt[12]/je,Ae=tt[13]/je,rt=tt[14]/je,St=Math.exp(this.computedRadius[0]);this.center.jump(T,Ue-ar*St,Ae-Vt*St,rt-rr*St)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(T){this.center.idle(T),this.up.idle(T),this.right.idle(T),this.radius.idle(T),this.angle.idle(T)},p.flush=function(T){this.center.flush(T),this.up.flush(T),this.right.flush(T),this.radius.flush(T),this.angle.flush(T)},p.setDistance=function(T,L){L>0&&this.radius.set(T,Math.log(L))},p.lookAt=function(T,L,x,C){this.recalcMatrix(T),L=L||this.computedEye,x=x||this.computedCenter,C=C||this.computedUp;var S=C[0],g=C[1],P=C[2],E=d(S,g,P);if(!(E<1e-6)){S/=E,g/=E,P/=E;var z=L[0]-x[0],q=L[1]-x[1],V=L[2]-x[2],G=d(z,q,V);if(!(G<1e-6)){z/=G,q/=G,V/=G;var Z=this.computedRight,j=Z[0],N=Z[1],H=Z[2],re=S*j+g*N+P*H;j-=re*S,N-=re*g,H-=re*P;var 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Uint16Array;case\"uint32\":return Uint32Array;case\"float32\":return Float32Array;case\"float64\":return Float64Array;case\"array\":return Array;case\"uint8_clamped\":return Uint8ClampedArray}}});var lx=ye((Rgr,NPe)=>{\"use strict\";var IIt=qPe(),nF=ak(),RIt=iF();NPe.exports=function(t,r){(r===\"float\"||!r)&&(r=\"array\"),r===\"uint\"&&(r=\"uint8\"),r===\"uint_clamped\"&&(r=\"uint8_clamped\");var n=RIt(r),i=new n(4),a=r!==\"uint8\"&&r!==\"uint8_clamped\";return(!t.length||typeof t==\"string\")&&(t=IIt(t),t[0]/=255,t[1]/=255,t[2]/=255),DIt(t)?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:255,a&&(i[0]/=255,i[1]/=255,i[2]/=255,i[3]/=255),i):(a?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:1):(i[0]=nF(Math.floor(t[0]*255),0,255),i[1]=nF(Math.floor(t[1]*255),0,255),i[2]=nF(Math.floor(t[2]*255),0,255),i[3]=t[3]==null?255:nF(Math.floor(t[3]*255),0,255)),i)};function DIt(e){return!!(e instanceof Uint8Array||e instanceof Uint8ClampedArray||Array.isArray(e)&&(e[0]>1||e[0]===0)&&(e[1]>1||e[1]===0)&&(e[2]>1||e[2]===0)&&(!e[3]||e[3]>1))}});var a1=ye((Dgr,UPe)=>{\"use strict\";var FIt=lx();function zIt(e){return e?FIt(e):[0,0,0,1]}UPe.exports=zIt});var o1=ye((Fgr,ZPe)=>{\"use strict\";var WPe=Eo(),qIt=fd(),aF=lx(),oF=tc(),OIt=Ih().defaultLine,VPe=Yd().isArrayOrTypedArray,EX=aF(OIt),XPe=1;function GPe(e,t){var r=e;return r[3]*=t,r}function HPe(e){if(WPe(e))return EX;var t=aF(e);return t.length?t:EX}function jPe(e){return WPe(e)?e:XPe}function BIt(e,t,r){var n=e.color;n&&n._inputArray&&(n=n._inputArray);var i=VPe(n),a=VPe(t),o=oF.extractOpts(e),s=[],l,u,c,f,h;if(o.colorscale!==void 0?l=oF.makeColorScaleFuncFromTrace(e):l=HPe,i?u=function(v,m){return v[m]===void 0?EX:aF(l(v[m]))}:u=HPe,a?c=function(v,m){return v[m]===void 0?XPe:jPe(v[m])}:c=jPe,i||a)for(var d=0;d<r;d++)f=u(n,d),h=c(t,d),s[d]=GPe(f,h);else s=GPe(aF(n),t);return s}function NIt(e){var t=oF.extractOpts(e),r=t.colorscale;return t.reversescale&&(r=oF.flipScale(t.colorscale)),r.map(function(n){var i=n[0],a=qIt(n[1]),o=a.toRgb();return{index:i,rgb:[o.r,o.g,o.b,o.a]}})}ZPe.exports={formatColor:BIt,parseColorScale:NIt}});var kX=ye((zgr,YPe)=>{\"use strict\";YPe.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}});var sF=ye((qgr,KPe)=>{\"use strict\";KPe.exports={circle:\"\\u25CF\",\"circle-open\":\"\\u25CB\",square:\"\\u25A0\",\"square-open\":\"\\u25A1\",diamond:\"\\u25C6\",\"diamond-open\":\"\\u25C7\",cross:\"+\",x:\"\\u274C\"}});var $Pe=ye((Ogr,JPe)=>{\"use strict\";var UIt=Oa();function CX(e,t,r,n){if(!t||!t.visible)return null;for(var i=UIt.getComponentMethod(\"errorbars\",\"makeComputeError\")(t),a=new Array(e.length),o=0;o<e.length;o++){var s=i(+e[o],o);if(n.type===\"log\"){var l=n.c2l(e[o]),u=e[o]-s[0],c=e[o]+s[1];if(a[o]=[(n.c2l(u,!0)-l)*r,(n.c2l(c,!0)-l)*r],u>0){var f=n.c2l(u);n._lowerLogErrorBound||(n._lowerLogErrorBound=f),n._lowerErrorBound=Math.min(n._lowerLogErrorBound,f)}}else a[o]=[-s[0]*r,s[1]*r]}return a}function VIt(e){for(var t=0;t<e.length;t++)if(e[t])return e[t].length;return 0}function GIt(e,t,r){var n=[CX(e.x,e.error_x,t[0],r.xaxis),CX(e.y,e.error_y,t[1],r.yaxis),CX(e.z,e.error_z,t[2],r.zaxis)],i=VIt(n);if(i===0)return null;for(var a=new Array(i),o=0;o<i;o++){for(var s=[[0,0,0],[0,0,0]],l=0;l<3;l++)if(n[l])for(var u=0;u<2;u++)s[u][l]=n[l][o][u];a[o]=s}return a}JPe.exports=GIt});var sIe=ye((Bgr,oIe)=>{\"use strict\";var HIt=qd().gl_line3d,QPe=qd().gl_scatter3d,jIt=qd().gl_error3d,WIt=qd().gl_mesh3d,XIt=qd().delaunay_triangulate,s1=Pr(),nIe=a1(),lF=o1().formatColor,ZIt=U3(),LX=kX(),YIt=sF(),KIt=ho(),JIt=ip().appendArrayPointValue,$It=$Pe();function aIe(e,t){this.scene=e,this.uid=t,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=\"\",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var IX=aIe.prototype;IX.handlePick=function(e){if(e.object&&(e.object===this.linePlot||e.object===this.delaunayMesh||e.object===this.textMarkers||e.object===this.scatterPlot)){var t=e.index=e.data.index;return e.object.highlight&&e.object.highlight(null),this.scatterPlot&&(e.object=this.scatterPlot,this.scatterPlot.highlight(e.data)),e.textLabel=\"\",this.textLabels&&(s1.isArrayOrTypedArray(this.textLabels)?(this.textLabels[t]||this.textLabels[t]===0)&&(e.textLabel=this.textLabels[t]):e.textLabel=this.textLabels),e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]],!0}};function QIt(e,t,r){var n=(r+1)%3,i=(r+2)%3,a=[],o=[],s;for(s=0;s<e.length;++s){var 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0&&(l*=e.marker.opacity),n={gl:this.scene.glplot.gl,position:s.position,color:s.scatterColor,size:s.scatterSize,glyph:s.scatterMarker,opacity:l,orthographic:!0,lineWidth:s.scatterLineWidth,lineColor:s.scatterLineColor,project:s.project,projectScale:s.projectScale,projectOpacity:s.projectOpacity},this.mode.indexOf(\"markers\")!==-1?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=QPe(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:this.scene.glplot.gl,position:s.position,glyph:s.text,color:s.textColor,size:s.textSize,angle:s.textAngle,alignment:s.textOffset,font:s.textFontFamily,fontWeight:s.textFontWeight,fontStyle:s.textFontStyle,fontVariant:s.textFontVariant,orthographic:!0,lineWidth:0,project:!1,opacity:e.opacity},this.textLabels=e.hovertext||e.text,this.mode.indexOf(\"text\")!==-1?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=QPe(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),i={gl:this.scene.glplot.gl,position:s.position,color:s.errorColor,error:s.errorBounds,lineWidth:s.errorLineWidth,capSize:s.errorCapSize,opacity:e.opacity},this.errorBars?s.errorBounds?this.errorBars.update(i):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):s.errorBounds&&(this.errorBars=jIt(i),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),s.delaunayAxis>=0){var u=QIt(s.position,s.delaunayColor,s.delaunayAxis);u.opacity=e.opacity,this.delaunayMesh?this.delaunayMesh.update(u):(u.gl=t,this.delaunayMesh=WIt(u),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)};IX.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())};function a8t(e,t){var r=new aIe(e,t.uid);return r.update(t),r}oIe.exports=a8t});var qX=ye((Ngr,fIe)=>{\"use strict\";var l1=pf(),o8t=ec(),zX=Tu(),RX=vf().axisHoverFormat,{hovertemplateAttrs:s8t,texttemplateAttrs:l8t,templatefallbackAttrs:lIe}=Pl(),uIe=Vl(),u8t=kX(),c8t=sF(),$g=Ao().extendFlat,f8t=mc().overrideAll,cIe=r_(),h8t=l1.line,Q2=l1.marker,d8t=Q2.line,v8t=$g({width:h8t.width,dash:{valType:\"enumerated\",values:cIe(u8t),dflt:\"solid\"}},zX(\"line\"));function DX(e){return{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}}var FX=fIe.exports=f8t({x:l1.x,y:l1.y,z:{valType:\"data_array\"},text:$g({},l1.text,{}),texttemplate:l8t(),texttemplatefallback:lIe({editType:\"calc\"}),hovertext:$g({},l1.hovertext,{}),hovertemplate:s8t(),hovertemplatefallback:lIe(),xhoverformat:RX(\"x\"),yhoverformat:RX(\"y\"),zhoverformat:RX(\"z\"),mode:$g({},l1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:DX(\"x\"),y:DX(\"y\"),z:DX(\"z\")},connectgaps:l1.connectgaps,line:v8t,marker:$g({symbol:{valType:\"enumerated\",values:cIe(c8t),dflt:\"circle\",arrayOk:!0},size:$g({},Q2.size,{dflt:8}),sizeref:Q2.sizeref,sizemin:Q2.sizemin,sizemode:Q2.sizemode,opacity:$g({},Q2.opacity,{arrayOk:!1}),colorbar:Q2.colorbar,line:$g({width:$g({},d8t.width,{arrayOk:!1})},zX(\"marker.line\"))},zX(\"marker\")),textposition:$g({},l1.textposition,{dflt:\"top center\"}),textfont:o8t({noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,editType:\"calc\",colorEditType:\"style\",arrayOk:!0,variantValues:[\"normal\",\"small-caps\"]}),opacity:uIe.opacity,hoverinfo:$g({},uIe.hoverinfo)},\"calc\",\"nested\");FX.x.editType=FX.y.editType=FX.z.editType=\"calc+clearAxisTypes\"});var vIe=ye((Ugr,dIe)=>{\"use strict\";var hIe=Oa(),p8t=Pr(),OX=Ru(),g8t=$p(),m8t=D0(),y8t=F0(),_8t=qX();dIe.exports=function(t,r,n,i){function a(d,v){return p8t.coerce(t,r,_8t,d,v)}var o=x8t(t,r,a,i);if(!o){r.visible=!1;return}a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),a(\"mode\"),OX.hasMarkers(r)&&g8t(t,r,n,i,a,{noAngle:!0,noLineDash:!0,noSelect:!0}),OX.hasLines(r)&&(a(\"connectgaps\"),m8t(t,r,n,i,a)),OX.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),y8t(t,r,i,a,{noSelect:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=hIe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function x8t(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=hIe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var gIe=ye((Vgr,pIe)=>{\"use strict\";var b8t=Dm(),w8t=z0();pIe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return b8t(n,r),w8t(t,r),n}});var yIe=ye((Ggr,mIe)=>{mIe.exports=T8t;function T8t(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var xIe=ye((Hgr,_Ie)=>{var A8t=yIe();_Ie.exports=function(t){return A8t(\"webgl\",t)}});var BX=ye((jgr,wIe)=>{\"use strict\";var bIe=ka(),S8t=function(){};wIe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=S8t);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=bIe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=bIe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var SIe=ye((Wgr,AIe)=>{\"use strict\";var ew=a1(),M8t=Pr(),E8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function TIe(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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k8t=TIe.prototype;k8t.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[E8t[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?M8t.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=ew(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=ew(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=ew(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=ew(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=ew(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=ew(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=ew(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function C8t(e,t){var r=new TIe;return r.merge(e,t),r}AIe.exports=C8t});var kIe=ye((Xgr,EIe)=>{\"use strict\";var L8t=a1(),P8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function MIe(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var I8t=MIe.prototype;I8t.merge=function(e){for(var t=0;t<3;++t){var r=e[P8t[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=L8t(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function R8t(e){var t=new MIe;return t.merge(e),t}EIe.exports=R8t});var PIe=ye((Zgr,LIe)=>{\"use strict\";LIe.exports=O8t;var CIe=ho(),D8t=Pr(),F8t=[\"xaxis\",\"yaxis\",\"zaxis\"],z8t=[0,0,0];function q8t(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function O8t(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[F8t[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||D8t.constrain(o._length/40,4,9);CIe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=CIe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){z8t[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=q8t(i)}});var OIe=ye((Ygr,qIe)=>{\"use strict\";var DIe=qd().gl_plot3d,B8t=DIe.createCamera,IIe=DIe.createScene,N8t=xIe(),U8t=GL(),fF=Oa(),cp=Pr(),cF=cp.preserveDrawingBuffer(),hF=ho(),Qg=ef(),V8t=a1(),G8t=BX(),H8t=JU(),j8t=SIe(),W8t=kIe(),X8t=PIe(),Z8t=Mg().applyAutorangeOptions,ok,uF,FIe=!1;function zIe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=j8t(t,t[this.id]),this.spikeOptions=W8t(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=fF.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=fF.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var Sv=zIe.prototype;Sv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:cF,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!uF&&(ok=document.createElement(\"canvas\"),uF=N8t({canvas:ok,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!uF))throw new Error(\"error creating static canvas/context for image server\");t.gl=uF,t.canvas=ok}return t};var RIe=!0;Sv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=IIe(t)}catch(n){if(e.staticMode||!RIe||cF)r=!1;else{cp.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{cF=t.glOptions.preserveDrawingBuffer=!0,e.glplot=IIe(t)}catch(i){cF=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return RIe=!1,r};Sv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=B8t(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};Sv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return G8t(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){FIe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},U8t?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};Sv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),X8t(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,E,z){var q=e.fullSceneLayout[P+\"axis\"];return q.type!==\"log\"&&(E=q.d2l(E)),hF.hoverLabelText(q,E,z)}if(c!==null){var v=H8t(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var m=t._fullData[r.index],b=f.index,p={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},k=Qg.castHoverinfo(m,e.fullLayout,b),M=(k||\"\").split(\"+\"),T=k&&k===\"all\";!m.hovertemplate&&!T&&(M.indexOf(\"x\")===-1&&(p.xLabel=void 0),M.indexOf(\"y\")===-1&&(p.yLabel=void 0),M.indexOf(\"z\")===-1&&(p.zLabel=void 0),M.indexOf(\"text\")===-1&&(f.textLabel=void 0),M.indexOf(\"name\")===-1&&(c.name=void 0));var L,x=[];r.type===\"cone\"||r.type===\"streamtube\"?(p.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(T||M.indexOf(\"u\")!==-1)&&x.push(\"u: \"+p.uLabel),p.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(T||M.indexOf(\"v\")!==-1)&&x.push(\"v: \"+p.vLabel),p.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(T||M.indexOf(\"w\")!==-1)&&x.push(\"w: \"+p.wLabel),p.normLabel=f.traceCoordinate[6].toPrecision(3),(T||M.indexOf(\"norm\")!==-1)&&x.push(\"norm: \"+p.normLabel),r.type===\"streamtube\"&&(p.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(T||M.indexOf(\"divergence\")!==-1)&&x.push(\"divergence: \"+p.divergenceLabel)),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(p.valueLabel=hF.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),x.push(\"value: \"+p.valueLabel),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:m._input,fullData:m,curveNumber:m.index,pointNumber:b};Qg.appendArrayPointValue(C,m,b),r._module.eventData&&(C=m._module.eventData(C,f,m,{},b));var S={points:[C]};if(e.fullSceneLayout.hovermode){var g=[];Qg.loneHover({trace:m,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:p.xLabel,yLabel:p.yLabel,zLabel:p.zLabel,text:L,name:c.name,color:Qg.castHoverOption(m,b,\"bgcolor\")||c.color,borderColor:Qg.castHoverOption(m,b,\"bordercolor\"),fontFamily:Qg.castHoverOption(m,b,\"font.family\"),fontSize:Qg.castHoverOption(m,b,\"font.size\"),fontColor:Qg.castHoverOption(m,b,\"font.color\"),nameLength:Qg.castHoverOption(m,b,\"namelength\"),textAlign:Qg.castHoverOption(m,b,\"align\"),hovertemplate:cp.castOption(m,b,\"hovertemplate\"),hovertemplateLabels:cp.extendFlat({},C,p),eventData:[C]},{container:n,gd:t,inOut_bbox:g}),C.bbox=g[0]}f.distance<5&&(f.buttons||FIe)?t.emit(\"plotly_click\",S):t.emit(\"plotly_hover\",S),this.oldEventData=S}else Qg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};Sv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){cp.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var sk=[\"xaxis\",\"yaxis\",\"zaxis\"];function Y8t(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=sk[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!cp.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(cp.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function K8t(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=sk[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}Sv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(V8t(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&Y8t(this,i,h);K8t(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue e;a=n.traces[v[o]],a.dispose(),delete n.traces[v[o]]}n.glplot.objects.sort(function(ae,_e){return ae._trace.data.index-_e._trace.data.index});var m=[[0,0,0],[0,0,0]],b=[],p={};for(o=0;o<3;++o){l=c[sk[o]],u=l.type,u in p?(p[u].acc*=d[o],p[u].count+=1):p[u]={acc:d[o],count:1};var k;if(l.autorange){m[0][o]=1/0,m[1][o]=-1/0;var M=n.glplot.objects,T=n.fullSceneLayout.annotations||[],L=l._name.charAt(0);for(s=0;s<M.length;s++){var x=M[s],C=x.bounds,S=x._trace.data._pad||0;x.constructor.name===\"ErrorBars\"&&l._lowerLogErrorBound?m[0][o]=Math.min(m[0][o],l._lowerLogErrorBound):m[0][o]=Math.min(m[0][o],C[0][o]/d[o]-S),m[1][o]=Math.max(m[1][o],C[1][o]/d[o]+S)}for(s=0;s<T.length;s++){var g=T[s];if(g.visible){var P=l.r2l(g[L]);m[0][o]=Math.min(m[0][o],P),m[1][o]=Math.max(m[1][o],P)}}if(\"rangemode\"in l&&l.rangemode===\"tozero\"&&(m[0][o]=Math.min(m[0][o],0),m[1][o]=Math.max(m[1][o],0)),m[0][o]>m[1][o])m[0][o]=-1,m[1][o]=1;else{var E=m[1][o]-m[0][o];m[0][o]-=E/32,m[1][o]+=E/32}if(k=[m[0][o],m[1][o]],k=Z8t(k,l),m[0][o]=k[0],m[1][o]=k[1],l.isReversed()){var z=m[0][o];m[0][o]=m[1][o],m[1][o]=z}}else k=l.range,m[0][o]=l.r2l(k[0]),m[1][o]=l.r2l(k[1]);m[0][o]===m[1][o]&&(m[0][o]-=1,m[1][o]+=1),b[o]=m[1][o]-m[0][o],l.range=[m[0][o],m[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var q,V=c.aspectmode;if(V===\"cube\")q=[1,1,1];else if(V===\"manual\"){var G=c.aspectratio;q=[G.x,G.y,G.z]}else if(V===\"auto\"||V===\"data\"){var Z=[1,1,1];for(o=0;o<3;++o){l=c[sk[o]],u=l.type;var j=p[u];Z[o]=Math.pow(j.acc,1/j.count)/d[o]}V===\"data\"||Math.max.apply(null,Z)/Math.min.apply(null,Z)<=4?q=Z:q=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");c.aspectratio.x=f.aspectratio.x=q[0],c.aspectratio.y=f.aspectratio.y=q[1],c.aspectratio.z=f.aspectratio.z=q[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var N=c.domain||null,H=t._size||null;if(N&&H){var re=n.container.style;re.position=\"absolute\",re.left=H.l+N.x[0]*H.w+\"px\",re.top=H.t+(1-N.y[1])*H.h+\"px\",re.width=H.w*(N.x[1]-N.x[0])+\"px\",re.height=H.h*(N.y[1]-N.y[0])+\"px\"}n.glplot.redraw()}};Sv.destroy=function(){var e=this;e.glplot&&(e.camera.mouseListener.enabled=!1,e.container.removeEventListener(\"wheel\",e.camera.wheelListener),e.camera=null,e.glplot.dispose(),e.container.parentNode.removeChild(e.container),e.glplot=null)};function J8t(e){return[[e.eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]}function $8t(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}Sv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),$8t(e.camera)};Sv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,J8t(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};Sv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=cp.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};Sv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=cp.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};Sv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=cp.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=cp.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),fF.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=cp.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=cp.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};Sv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;fF.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,cp.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function Q8t(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function eRt(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}Sv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(ok),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),Q8t(a,n,i),eRt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(ok),u};Sv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[sk[t]];hF.setConvert(r,e.fullLayout),r.setScale=cp.noop}};Sv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},hF.setConvert(e._mockAxis,r)};qIe.exports=zIe});var NIe=ye((Kgr,BIe)=>{\"use strict\";BIe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var UX=ye((Jgr,UIe)=>{\"use strict\";var tRt=ka(),xs=Rd(),NX=Ao().extendFlat,rRt=mc().overrideAll;UIe.exports=rRt({visible:xs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:tRt.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:xs.color,categoryorder:xs.categoryorder,categoryarray:xs.categoryarray,title:{text:xs.title.text,font:xs.title.font},type:NX({},xs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:xs.autotypenumbers,autorange:xs.autorange,autorangeoptions:{minallowed:xs.autorangeoptions.minallowed,maxallowed:xs.autorangeoptions.maxallowed,clipmin:xs.autorangeoptions.clipmin,clipmax:xs.autorangeoptions.clipmax,include:xs.autorangeoptions.include,editType:\"plot\"},rangemode:xs.rangemode,minallowed:xs.minallowed,maxallowed:xs.maxallowed,range:NX({},xs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:xs.minor.tickmode,nticks:xs.nticks,tick0:xs.tick0,dtick:xs.dtick,tickvals:xs.tickvals,ticktext:xs.ticktext,ticks:xs.ticks,mirror:xs.mirror,ticklen:xs.ticklen,tickwidth:xs.tickwidth,tickcolor:xs.tickcolor,showticklabels:xs.showticklabels,labelalias:xs.labelalias,tickfont:xs.tickfont,tickangle:xs.tickangle,tickprefix:xs.tickprefix,showtickprefix:xs.showtickprefix,ticksuffix:xs.ticksuffix,showticksuffix:xs.showticksuffix,showexponent:xs.showexponent,exponentformat:xs.exponentformat,minexponent:xs.minexponent,separatethousands:xs.separatethousands,tickformat:xs.tickformat,tickformatstops:xs.tickformatstops,hoverformat:xs.hoverformat,showline:xs.showline,linecolor:xs.linecolor,linewidth:xs.linewidth,showgrid:xs.showgrid,gridcolor:NX({},xs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:xs.gridwidth,zeroline:xs.zeroline,zerolinecolor:xs.zerolinecolor,zerolinewidth:xs.zerolinewidth},\"plot\",\"from-root\")});var jX=ye(($gr,VIe)=>{\"use strict\";var VX=UX(),iRt=Cc().attributes,GX=Ao().extendFlat,nRt=Pr().counterRegex;function HX(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}VIe.exports={_arrayAttrRegexps:[nRt(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:GX(HX(0,0,1),{}),center:GX(HX(0,0,0),{}),eye:GX(HX(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:iRt({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:VX,yaxis:VX,zaxis:VX,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\"}});var WIe=ye((Qgr,jIe)=>{\"use strict\";var aRt=fd().mix,GIe=Pr(),oRt=vl(),sRt=UX(),lRt=FU(),uRt=v4(),HIe=[\"xaxis\",\"yaxis\",\"zaxis\"],cRt=13600/187;jIe.exports=function(t,r,n){var i,a;function o(u,c){return GIe.coerce(i,a,sRt,u,c)}for(var s=0;s<HIe.length;s++){var l=HIe[s];i=t[l]||{},a=oRt.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,lRt(i,a,o,n),uRt(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noMinorloglabels:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,noUnifiedhovertitle:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",aRt(a.color,n.bgColor,cRt).toRgbString()),o(\"title.text\",l[0]),a.setScale=GIe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var KIe=ye((emr,YIe)=>{\"use strict\";var fRt=Pr(),hRt=ka(),dRt=Oa(),vRt=O_(),pRt=WIe(),XIe=jX(),gRt=Id().getSubplotData,ZIe=\"gl3d\";YIe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=fRt.validate(t[o],XIe[o]);if(s)return t[o]}}vRt(t,r,n,{type:ZIe,attributes:XIe,handleDefaults:mRt,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function mRt(e,t,r,n){for(var i=r(\"bgcolor\"),a=hRt.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s<o.length;s++)r(\"camera.\"+o[s]+\".x\"),r(\"camera.\"+o[s]+\".y\"),r(\"camera.\"+o[s]+\".z\");r(\"camera.projection.type\");var l=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),u=l?\"manual\":\"auto\",c=r(\"aspectmode\",u);l||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},c===\"manual\"&&(t.aspectmode=\"auto\"),e.aspectmode=t.aspectmode);var f=gRt(n.fullData,ZIe,n.id);pRt(e,t,{font:n.font,scene:n.id,data:f,bgColor:a,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),dRt.getComponentMethod(\"annotations3d\",\"handleDefaults\")(e,t,n);var h=n.getDfltFromLayout(\"dragmode\");if(h!==!1&&!h)if(h=\"orbit\",e.camera&&e.camera.up){var d=e.camera.up.x,v=e.camera.up.y,m=e.camera.up.z;m!==0&&(!d||!v||!m||m/Math.sqrt(d*d+v*v+m*m)>.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var ux=ye(fp=>{\"use strict\";var yRt=mc().overrideAll,_Rt=X1(),xRt=OIe(),bRt=Id().getSubplotData,wRt=Pr(),TRt=Wp(),JA=\"gl3d\",WX=\"scene\";fp.name=JA;fp.attr=WX;fp.idRoot=WX;fp.idRegex=fp.attrRegex=wRt.counterRegex(\"scene\");fp.attributes=NIe();fp.layoutAttributes=jX();fp.baseLayoutAttrOverrides=yRt({hoverlabel:_Rt.hoverlabel},\"plot\",\"nested\");fp.supplyLayoutDefaults=KIe();fp.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[JA],a=0;a<i.length;a++){var o=i[a],s=bRt(n,JA,o),l=r[o],u=l.camera,c=l._scene;c||(c=new xRt({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},r),l._scene=c),c.viewInitial||(c.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),c.plot(s,r,t.layout)}};fp.clean=function(e,t,r,n){for(var i=n._subplots[JA]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}};fp.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[JA],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._scene,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:TRt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}};fp.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var r=t.slice(5);return r===\"1\"&&(r=\"\"),WX+r}};fp.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[JA],n=0;n<r.length;n++){var i=t[r[n]]._scene;i.updateFx(t.dragmode,t.hovermode)}}});var $Ie=ye((rmr,JIe)=>{\"use strict\";JIe.exports={plot:sIe(),attributes:qX(),markerSymbols:sF(),supplyDefaults:vIe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:gIe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:ux(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var e8e=ye((imr,QIe)=>{\"use strict\";QIe.exports=$Ie()});var lk=ye((nmr,i8e)=>{\"use strict\";var t8e=ka(),ARt=Tu(),XX=vf().axisHoverFormat,{hovertemplateAttrs:SRt,templatefallbackAttrs:MRt}=Pl(),r8e=Vl(),ZX=Ao().extendFlat,ERt=mc().overrideAll;function YX(e){return{valType:\"boolean\",dflt:!1}}function KX(e){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:YX(\"x\"),y:YX(\"y\"),z:YX(\"z\")},color:{valType:\"color\",dflt:t8e.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:t8e.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var JX=i8e.exports=ERt(ZX({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:SRt(),hovertemplatefallback:MRt(),xhoverformat:XX(\"x\"),yhoverformat:XX(\"y\"),zhoverformat:XX(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},ARt(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:KX(\"x\"),y:KX(\"y\"),z:KX(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05,description:\"Represents the level that incident rays are reflected in a single direction, causing shine.\"},roughness:{valType:\"number\",min:0,max:1,dflt:.5,description:\"Alters specular reflection; the rougher the surface, the wider and less contrasty the shine.\"},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:ZX({},r8e.hoverinfo),showlegend:ZX({},r8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");JX.x.editType=JX.y.editType=JX.z.editType=\"calc+clearAxisTypes\"});var QX=ye((amr,o8e)=>{\"use strict\";var kRt=Oa(),n8e=Pr(),CRt=td(),LRt=lk(),$X=.1;function PRt(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function IRt(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function RRt(e,t,r,n){var i,a;function o(b,p){return n8e.coerce(e,t,LRt,b,p)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&n8e.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=kRt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"hovertemplatefallback\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),m=o(d+\".highlight\");if(v||m)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),m&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}CRt(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),a8e(e,t,n,o),t._length=null}function a8e(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,$X],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,$X]]:i===\"extremes\"?t.opacityscale=PRt(1,$X):IRt(i)||(t.opacityscale=void 0)}o8e.exports={supplyDefaults:RRt,opacityscaleDefaults:a8e}});var u8e=ye((omr,l8e)=>{\"use strict\";var s8e=gv();l8e.exports=function(t,r){r.surfacecolor?s8e(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):s8e(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var p8e=ye((smr,v8e)=>{\"use strict\";var DRt=qd().gl_surface3d,$A=qd().ndarray,FRt=qd().ndarray_linear_interpolate.d2,zRt=d8(),qRt=v8(),uk=Pr().isArrayOrTypedArray,ORt=o1().parseColorScale,c8e=a1(),BRt=tc().extractOpts;function h8e(e,t,r){this.scene=e,this.uid=r,this.surface=t,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var em=h8e.prototype;em.getXat=function(e,t,r,n){var i=uk(this.data.x)?uk(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};em.getYat=function(e,t,r,n){var i=uk(this.data.y)?uk(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};em.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};em.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return uk(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function NRt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var QA=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function URt(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function eZ(e){for(var t=[],r=0;r<QA.length;r++){var n=QA[r];t.push(URt(e,n))}return t}function VRt(e){for(var t=eZ(e),r=e,n=0;n<QA.length;n++)if(t[n]>0){r=QA[n];break}return r}function GRt(e,t){if(!(e<1||t<1)){for(var r=eZ(e),n=eZ(t),i=1,a=0;a<QA.length;a++)i*=Math.pow(QA[a],Math.max(r[a],n[a]));return i}}function HRt(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=GRt(t,e[r]);return t}}em.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};em.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var d8e=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],f8e=d8e[9],dF=d8e[13];em.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+HRt(r);n<f8e;)n*=2;for(;n>dF;)n--,n/=VRt(n),n++,n<f8e&&(n=dF);var i=Math.round(n/e);return i>1?i:1};function jRt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function WRt(e,t,r){return XRt(e,t,jRt,r),e}function XRt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,FRt(t,i[0],i[1]));return e}em.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=$A(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=$A(new Float32Array(a*o),[a,o]);WRt(h,u,c),e[f]=h}};function ZRt(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}em.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],ZRt(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};em.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=ORt(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=qRt(d[2]),zRt(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[$A(new Float32Array(o*s),[o,s]),$A(new Float32Array(o*s),[o,s]),$A(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var m={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=BRt(e);if(m.intensityBounds=[b.min,b.max],e.surfacecolor){var p=$A(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)p.set(c,f,e.surfacecolor[f][c]);v.push(p)}else m.intensityBounds[0]*=a[2],m.intensityBounds[1]*=a[2];(dF<v[0].shape[0]||dF<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(m.intensity=v.pop());var k=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var T=e.contours[M[u]];k[u]=T.highlight,m.showContour[u]=T.show||T.highlight,m.showContour[u]&&(m.contourProject[u]=[T.project.x,T.project.y,T.project.z],T.show?(this.showContour[u]=!0,m.levels[u]=l[u],n.highlightColor[u]=m.contourColor[u]=c8e(T.color),T.usecolormap?n.highlightTint[u]=m.contourTint[u]=0:n.highlightTint[u]=m.contourTint[u]=1,m.contourWidth[u]=T.width,this.contourStart[u]=T.start,this.contourEnd[u]=T.end,this.contourSize[u]=T.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),T.highlight&&(m.dynamicColor[u]=c8e(T.highlightcolor),m.dynamicWidth[u]=T.highlightwidth))}NRt(i)&&(m.vertexColor=!0),m.objectOffset=this.objectOffset,m.coords=v,n.update(m),n.visible=e.visible,n.enableDynamic=k,n.enableHighlight=k,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};em.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function YRt(e,t){var r=e.glplot.gl,n=DRt({gl:r}),i=new h8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}v8e.exports=YRt});var m8e=ye((lmr,g8e)=>{\"use strict\";g8e.exports={attributes:lk(),supplyDefaults:QX().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:u8e(),plot:p8e(),moduleType:\"trace\",name:\"surface\",basePlotModule:ux(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var _8e=ye((umr,y8e)=>{\"use strict\";y8e.exports=m8e()});var e5=ye((cmr,b8e)=>{\"use strict\";var KRt=Tu(),tZ=vf().axisHoverFormat,{hovertemplateAttrs:JRt,templatefallbackAttrs:$Rt}=Pl(),cx=lk(),x8e=Vl(),fx=Ao().extendFlat;b8e.exports=fx({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:JRt({editType:\"calc\"}),hovertemplatefallback:$Rt({editType:\"calc\"}),xhoverformat:tZ(\"x\"),yhoverformat:tZ(\"y\"),zhoverformat:tZ(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},KRt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:cx.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:fx({},cx.contours.x.show,{}),color:cx.contours.x.color,width:cx.contours.x.width,editType:\"calc\"},lightposition:{x:fx({},cx.lightposition.x,{dflt:1e5}),y:fx({},cx.lightposition.y,{dflt:1e5}),z:fx({},cx.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:fx({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\",description:\"Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry.\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\",description:\"Epsilon for face normals calculation avoids math issues arising from degenerate geometry.\"},editType:\"calc\"},cx.lighting),hoverinfo:fx({},x8e.hoverinfo,{editType:\"calc\"}),showlegend:fx({},x8e.showlegend,{dflt:!1})})});var pF=ye((fmr,T8e)=>{\"use strict\";var QRt=Tu(),vF=vf().axisHoverFormat,{hovertemplateAttrs:eDt,templatefallbackAttrs:tDt}=Pl(),ck=e5(),w8e=Vl(),rZ=Ao().extendFlat,rDt=mc().overrideAll;function iZ(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function nZ(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var t5=T8e.exports=rDt(rZ({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:iZ(\"x\"),y:iZ(\"y\"),z:iZ(\"z\")},caps:{x:nZ(\"x\"),y:nZ(\"y\"),z:nZ(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:eDt(),hovertemplatefallback:tDt(),xhoverformat:vF(\"x\"),yhoverformat:vF(\"y\"),zhoverformat:vF(\"z\"),valuehoverformat:vF(\"value\",1),showlegend:rZ({},w8e.showlegend,{dflt:!1})},QRt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:ck.opacity,lightposition:ck.lightposition,lighting:ck.lighting,flatshading:ck.flatshading,contour:ck.contour,hoverinfo:rZ({},w8e.hoverinfo)}),\"calc\",\"nested\");t5.flatshading.dflt=!0;t5.lighting.facenormalsepsilon.dflt=0;t5.x.editType=t5.y.editType=t5.z.editType=t5.value.editType=\"calc+clearAxisTypes\"});var aZ=ye((hmr,S8e)=>{\"use strict\";var iDt=Pr(),nDt=Oa(),aDt=pF(),oDt=td();function sDt(e,t,r,n){function i(a,o){return iDt.coerce(e,t,aDt,a,o)}A8e(e,t,r,n,i)}function A8e(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=nDt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(m){i(m+\"hoverformat\");var b=\"caps.\"+m,p=i(b+\".show\");p&&i(b+\".fill\");var k=\"slices.\"+m,M=i(k+\".show\");M&&(i(k+\".fill\"),i(k+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(m){i(m)}),oDt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}S8e.exports={supplyDefaults:sDt,supplyIsoDefaults:A8e}});var gF=ye((dmr,E8e)=>{\"use strict\";var sZ=Pr(),lDt=gv();function uDt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=$m(t.u,t._len),t._v=$m(t.v,t._len),t._w=$m(t.w,t._len),t._x=$m(t.x,t._len),t._y=$m(t.y,t._len),t._z=$m(t.z,t._len);var r=M8e(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=$m(t.starts.x||[]),a=$m(t.starts.y||[]),o=$m(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(lDt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var m=a[u];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function M8e(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",m,b,p,k,M,T,L,x,C;for(i&&(k=t[0],T=r[0],x=n[0]),i>1&&(M=t[i-1],L=r[i-1],C=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!m&&t[a]!==k&&(m=!0,v+=\"x\"),!b&&r[a]!==T&&(b=!0,v+=\"y\"),!p&&n[a]!==x&&(p=!0,v+=\"z\");m||(v+=\"x\"),b||(v+=\"y\"),p||(v+=\"z\");var S=oZ(e._x),g=oZ(e._y),P=oZ(e._z);v=v.replace(\"x\",(k>M?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(T>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(x>C?\"-\":\"+\")+\"z\");var E=function(){i=0,S=[],g=[],P=[]};(!i||i<S.length*g.length*P.length)&&E();var z=function(Be){return Be===\"x\"?t:Be===\"y\"?r:n},q=function(Be){return Be===\"x\"?S:Be===\"y\"?g:P},V=function(Be){return Be[i-1]<Be[0]?-1:1},G=z(v[1]),Z=z(v[3]),j=z(v[5]),N=q(v[1]).length,H=q(v[3]).length,re=q(v[5]).length,ae=!1,_e=function(Be,Le,me){return N*(H*Be+Le)+me},Ee=V(z(v[1])),Ce=V(z(v[3])),ge=V(z(v[5]));for(a=0;a<re-1;a++){for(o=0;o<H-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Se=_e(a,o,s+1),ke=_e(a,o+1,s),be=_e(a+1,o,s);if((!(G[ie]*Ee<G[Se]*Ee)||!(Z[ie]*Ce<Z[ke]*Ce)||!(j[ie]*ge<j[be]*ge))&&(ae=!0),ae)break}if(ae)break}if(ae)break}return ae&&(sZ.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),E()),{xMin:u,yMin:f,zMin:d,xMax:l,yMax:c,zMax:h,Xs:S,Ys:g,Zs:P,len:i,fill:v}}function oZ(e){return sZ.distinctVals(e).vals}function $m(e,t){if(t===void 0&&(t=e.length),sZ.isTypedArray(e))return e.subarray(0,t);for(var r=[],n=0;n<t;n++)r[n]=+e[n];return r}E8e.exports={calc:uDt,filter:$m,processGrid:M8e}});var lZ=ye((vmr,k8e)=>{\"use strict\";var cDt=gv(),fDt=gF().processGrid,mF=gF().filter;k8e.exports=function(t,r){r._len=Math.min(r.x.length,r.y.length,r.z.length,r.value.length),r._x=mF(r.x,r._len),r._y=mF(r.y,r._len),r._z=mF(r.z,r._len),r._value=mF(r.value,r._len);var n=fDt(r);r._gridFill=n.fill,r._Xs=n.Xs,r._Ys=n.Ys,r._Zs=n.Zs,r._len=n.len;for(var i=1/0,a=-1/0,o=0;o<r._len;o++){var s=r._value[o];i=Math.min(i,s),a=Math.max(a,s)}r._minValues=i,r._maxValues=a,r._vMin=r.isomin===void 0||r.isomin===null?i:r.isomin,r._vMax=r.isomax===void 0||r.isomax===null?a:r.isomax,cDt(t,r,{vals:[r._vMin,r._vMax],containerStr:\"\",cLetter:\"c\"})}});var r5=ye((pmr,C8e)=>{\"use strict\";C8e.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var yF=ye((gmr,R8e)=>{\"use strict\";var hDt=qd().gl_mesh3d,dDt=o1().parseColorScale,vDt=Pr().isArrayOrTypedArray,pDt=a1(),gDt=tc().extractOpts,L8e=r5(),fk=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function P8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var uZ=P8e.prototype;uZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=fk(r,this.data._Xs).id,l=fk(n,this.data._Ys).id,u=fk(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return vDt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};uZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=I8e(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=L8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=L8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:pDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=gDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=dDt(e),this.mesh.update(o)};uZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var mDt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function I8e(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,m=h.length,b=mDt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),p=function(St,Tt,dt){switch(b){case 5:return dt+m*Tt+m*v*St;case 4:return dt+m*St+m*d*Tt;case 3:return Tt+v*dt+v*m*St;case 2:return Tt+v*St+v*d*dt;case 1:return St+d*dt+d*m*Tt;default:return St+d*Tt+d*v*dt}},k=e._minValues,M=e._maxValues,T=e._vMin,L=e._vMax,x,C,S,g;function P(St,Tt,dt){for(var Et=g.length,pt=u;pt<Et;pt++)if(St===x[pt]&&Tt===C[pt]&&dt===S[pt])return pt;return-1}function E(){u=l}function z(){x=[],C=[],S=[],g=[],l=0,E()}function q(St,Tt,dt,Et){return x.push(St),C.push(Tt),S.push(dt),g.push(Et),l++,l-1}function V(St,Tt,dt){return e._meshI.push(St),e._meshJ.push(Tt),e._meshK.push(dt),s++,s-1}function G(St,Tt,dt){for(var Et=[],pt=0;pt<St.length;pt++)Et[pt]=(St[pt]+Tt[pt]+dt[pt])/3;return Et}function Z(St,Tt,dt){for(var Et=[],pt=0;pt<St.length;pt++)Et[pt]=St[pt]*(1-dt)+dt*Tt[pt];return Et}var j;function N(St){j=St}function H(St,Tt){var dt=St[0],Et=St[1],pt=St[2],jt=G(dt,Et,pt),or=Math.sqrt(1-j),mr=Z(jt,dt,or),Ar=Z(jt,Et,or),ei=Z(jt,pt,or),qr=Tt[0],jr=Tt[1],gt=Tt[2];return{xyzv:[[dt,Et,Ar],[Ar,mr,dt],[Et,pt,ei],[ei,Ar,Et],[pt,dt,mr],[mr,ei,pt]],abc:[[qr,jr,-1],[-1,-1,qr],[jr,gt,-1],[-1,-1,jr],[gt,qr,-1],[-1,-1,gt]]}}function re(St,Tt){return St===\"all\"||St===null?!0:St.indexOf(Tt)>-1}function ae(St,Tt){return St===null?Tt:St}function _e(St,Tt,dt){E();var Et=[Tt],pt=[dt];if(j>=1)Et=[Tt],pt=[dt];else if(j>0){var jt=H(Tt,dt);Et=jt.xyzv,pt=jt.abc}for(var or=0;or<Et.length;or++){Tt=Et[or],dt=pt[or];for(var mr=[],Ar=0;Ar<3;Ar++){var ei=Tt[Ar][0],qr=Tt[Ar][1],jr=Tt[Ar][2],gt=Tt[Ar][3],Ge=dt[Ar]>-1?dt[Ar]:P(ei,qr,jr);Ge>-1?mr[Ar]=Ge:mr[Ar]=q(ei,qr,jr,ae(St,gt))}V(mr[0],mr[1],mr[2])}}function Ee(St,Tt,dt){var Et=function(pt,jt,or){_e(St,[Tt[pt],Tt[jt],Tt[or]],[dt[pt],dt[jt],dt[or]])};Et(0,1,2),Et(2,3,0)}function Ce(St,Tt,dt){var Et=function(pt,jt,or){_e(St,[Tt[pt],Tt[jt],Tt[or]],[dt[pt],dt[jt],dt[or]])};Et(0,1,2),Et(3,0,1),Et(2,3,0),Et(1,2,3)}function ge(St,Tt,dt,Et){var pt=St[3];pt<dt&&(pt=dt),pt>Et&&(pt=Et);for(var jt=(St[3]-pt)/(St[3]-Tt[3]+1e-9),or=[],mr=0;mr<4;mr++)or[mr]=(1-jt)*St[mr]+jt*Tt[mr];return or}function ie(St,Tt,dt){return St>=Tt&&St<=dt}function Se(St){var Tt=.001*(L-T);return St>=T-Tt&&St<=L+Tt}function ke(St){for(var Tt=[],dt=0;dt<4;dt++){var Et=St[dt];Tt.push([e._x[Et],e._y[Et],e._z[Et],e._value[Et]])}return Tt}var be=3;function Be(St,Tt,dt,Et,pt,jt){jt||(jt=1),dt=[-1,-1,-1];var or=!1,mr=[ie(Tt[0][3],Et,pt),ie(Tt[1][3],Et,pt),ie(Tt[2][3],Et,pt)];if(!mr[0]&&!mr[1]&&!mr[2])return!1;var Ar=function(qr,jr,gt){return Se(jr[0][3])&&Se(jr[1][3])&&Se(jr[2][3])?(_e(qr,jr,gt),!0):jt<be?Be(qr,jr,gt,T,L,++jt):!1};if(mr[0]&&mr[1]&&mr[2])return Ar(St,Tt,dt)||or;var ei=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach(function(qr){if(mr[qr[0]]&&mr[qr[1]]&&!mr[qr[2]]){var jr=Tt[qr[0]],gt=Tt[qr[1]],Ge=Tt[qr[2]],Je=ge(Ge,jr,Et,pt),We=ge(Ge,gt,Et,pt);or=Ar(St,[We,Je,jr],[-1,-1,dt[qr[0]]])||or,or=Ar(St,[jr,gt,We],[dt[qr[0]],dt[qr[1]],-1])||or,ei=!0}}),ei||[[0,1,2],[1,2,0],[2,0,1]].forEach(function(qr){if(mr[qr[0]]&&!mr[qr[1]]&&!mr[qr[2]]){var jr=Tt[qr[0]],gt=Tt[qr[1]],Ge=Tt[qr[2]],Je=ge(gt,jr,Et,pt),We=ge(Ge,jr,Et,pt);or=Ar(St,[We,Je,jr],[-1,-1,dt[qr[0]]])||or,ei=!0}}),or}function Le(St,Tt,dt,Et){var pt=!1,jt=ke(Tt),or=[ie(jt[0][3],dt,Et),ie(jt[1][3],dt,Et),ie(jt[2][3],dt,Et),ie(jt[3][3],dt,Et)];if(!or[0]&&!or[1]&&!or[2]&&!or[3])return pt;if(or[0]&&or[1]&&or[2]&&or[3])return o&&(pt=Ce(St,jt,Tt)||pt),pt;var mr=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach(function(Ar){if(or[Ar[0]]&&or[Ar[1]]&&or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]];if(o)pt=_e(St,[ei,qr,jr],[Tt[Ar[0]],Tt[Ar[1]],Tt[Ar[2]]])||pt;else{var Ge=ge(gt,ei,dt,Et),Je=ge(gt,qr,dt,Et),We=ge(gt,jr,dt,Et);pt=_e(null,[Ge,Je,We],[-1,-1,-1])||pt}mr=!0}}),mr||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(Ar){if(or[Ar[0]]&&or[Ar[1]]&&!or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]],Ge=ge(jr,ei,dt,Et),Je=ge(jr,qr,dt,Et),We=ge(gt,qr,dt,Et),et=ge(gt,ei,dt,Et);o?(pt=_e(St,[ei,et,Ge],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[qr,Je,We],[Tt[Ar[1]],-1,-1])||pt):pt=Ee(null,[Ge,Je,We,et],[-1,-1,-1,-1])||pt,mr=!0}}),mr)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(Ar){if(or[Ar[0]]&&!or[Ar[1]]&&!or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]],Ge=ge(qr,ei,dt,Et),Je=ge(jr,ei,dt,Et),We=ge(gt,ei,dt,Et);o?(pt=_e(St,[ei,Ge,Je],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[ei,Je,We],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[ei,We,Ge],[Tt[Ar[0]],-1,-1])||pt):pt=_e(null,[Ge,Je,We],[-1,-1,-1])||pt,mr=!0}}),pt}function me(St,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr){var jr=!1;return a&&(re(St,\"A\")&&(jr=Le(null,[Tt,dt,Et,jt],ei,qr)||jr),re(St,\"B\")&&(jr=Le(null,[dt,Et,pt,Ar],ei,qr)||jr),re(St,\"C\")&&(jr=Le(null,[dt,jt,or,Ar],ei,qr)||jr),re(St,\"D\")&&(jr=Le(null,[Et,jt,mr,Ar],ei,qr)||jr),re(St,\"E\")&&(jr=Le(null,[dt,Et,jt,Ar],ei,qr)||jr)),o&&(jr=Le(St,[dt,Et,jt,Ar],ei,qr)||jr),jr}function Pe(St,Tt,dt,Et,pt,jt,or,mr){return[mr[0]===!0?!0:Be(St,ke([Tt,dt,Et]),[Tt,dt,Et],jt,or),mr[1]===!0?!0:Be(St,ke([Et,pt,Tt]),[Et,pt,Tt],jt,or)]}function ce(St,Tt,dt,Et,pt,jt,or,mr,Ar){return mr?Pe(St,Tt,dt,pt,Et,jt,or,Ar):Pe(St,dt,pt,Et,Tt,jt,or,Ar)}function He(St,Tt,dt,Et,pt,jt,or){var mr=!1,Ar,ei,qr,jr,gt=function(){mr=Be(St,[Ar,ei,qr],[-1,-1,-1],pt,jt)||mr,mr=Be(St,[qr,jr,Ar],[-1,-1,-1],pt,jt)||mr},Ge=or[0],Je=or[1],We=or[2];return Ge&&(Ar=Z(ke([p(Tt,dt-0,Et-0)])[0],ke([p(Tt-1,dt-0,Et-0)])[0],Ge),ei=Z(ke([p(Tt,dt-0,Et-1)])[0],ke([p(Tt-1,dt-0,Et-1)])[0],Ge),qr=Z(ke([p(Tt,dt-1,Et-1)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],Ge),jr=Z(ke([p(Tt,dt-1,Et-0)])[0],ke([p(Tt-1,dt-1,Et-0)])[0],Ge),gt()),Je&&(Ar=Z(ke([p(Tt-0,dt,Et-0)])[0],ke([p(Tt-0,dt-1,Et-0)])[0],Je),ei=Z(ke([p(Tt-0,dt,Et-1)])[0],ke([p(Tt-0,dt-1,Et-1)])[0],Je),qr=Z(ke([p(Tt-1,dt,Et-1)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],Je),jr=Z(ke([p(Tt-1,dt,Et-0)])[0],ke([p(Tt-1,dt-1,Et-0)])[0],Je),gt()),We&&(Ar=Z(ke([p(Tt-0,dt-0,Et)])[0],ke([p(Tt-0,dt-0,Et-1)])[0],We),ei=Z(ke([p(Tt-0,dt-1,Et)])[0],ke([p(Tt-0,dt-1,Et-1)])[0],We),qr=Z(ke([p(Tt-1,dt-1,Et)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],We),jr=Z(ke([p(Tt-1,dt-0,Et)])[0],ke([p(Tt-1,dt-0,Et-1)])[0],We),gt()),mr}function lt(St,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr,jr){var gt=St;return jr?(a&&St===\"even\"&&(gt=null),me(gt,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr)):(a&&St===\"odd\"&&(gt=null),me(gt,Ar,mr,or,jt,pt,Et,dt,Tt,ei,qr))}function mt(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<m;ei++)for(var qr=1;qr<v;qr++)jt.push(ce(St,p(Ar,qr-1,ei-1),p(Ar,qr-1,ei),p(Ar,qr,ei-1),p(Ar,qr,ei),dt,Et,(Ar+qr+ei)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function Ht(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<d;ei++)for(var qr=1;qr<m;qr++)jt.push(ce(St,p(ei-1,Ar,qr-1),p(ei,Ar,qr-1),p(ei-1,Ar,qr),p(ei,Ar,qr),dt,Et,(ei+Ar+qr)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function at(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<v;ei++)for(var qr=1;qr<d;qr++)jt.push(ce(St,p(qr-1,ei-1,Ar),p(qr-1,ei,Ar),p(qr,ei-1,Ar),p(qr,ei,Ar),dt,Et,(qr+ei+Ar)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function ct(St,Tt,dt){for(var Et=1;Et<m;Et++)for(var pt=1;pt<v;pt++)for(var jt=1;jt<d;jt++)lt(St,p(jt-1,pt-1,Et-1),p(jt-1,pt-1,Et),p(jt-1,pt,Et-1),p(jt-1,pt,Et),p(jt,pt-1,Et-1),p(jt,pt-1,Et),p(jt,pt,Et-1),p(jt,pt,Et),Tt,dt,(jt+pt+Et)%2)}function ar(St,Tt,dt){o=!0,ct(St,Tt,dt),o=!1}function Vt(St,Tt,dt){a=!0,ct(St,Tt,dt),a=!1}function rr(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<m;qr++)for(var jr=1;jr<v;jr++)or.push(He(St,ei,jr,qr,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function tt(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<d;qr++)for(var jr=1;jr<m;jr++)or.push(He(St,qr,ei,jr,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function je(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<v;qr++)for(var jr=1;jr<d;jr++)or.push(He(St,jr,qr,ei,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function Ue(St,Tt){for(var dt=[],Et=St;Et<Tt;Et++)dt.push(Et);return dt}function Ae(){for(var St=0;St<d;St++)for(var Tt=0;Tt<v;Tt++)for(var dt=0;dt<m;dt++){var Et=p(St,Tt,dt);q(e._x[Et],e._y[Et],e._z[Et],e._value[Et])}}function rt(){z(),Ae();var St=null;if(r&&i&&(N(i),ar(St,T,L)),t&&n){N(n);for(var Tt=e.surface.pattern,dt=e.surface.count,Et=0;Et<dt;Et++){var pt=dt===1?.5:Et/(dt-1),jt=(1-pt)*T+pt*L,or=Math.abs(jt-k),mr=Math.abs(jt-M),Ar=or>mr?[k,jt]:[jt,M];Vt(Tt,Ar[0],Ar[1])}}var ei=[[Math.min(T,M),Math.max(T,M)],[Math.min(k,L),Math.max(k,L)]];[\"x\",\"y\",\"z\"].forEach(function(qr){for(var jr=[],gt=0;gt<ei.length;gt++){var Ge=0,Je=ei[gt][0],We=ei[gt][1],et=e.slices[qr];if(et.show&&et.fill){N(et.fill);var xt=[],At=[],Kt=[];if(et.locations.length)for(var Qt=0;Qt<et.locations.length;Qt++){var Mr=fk(et.locations[Qt],qr===\"x\"?c:qr===\"y\"?f:h);Mr.distRatio===0?xt.push(Mr.id):Mr.id>0&&(At.push(Mr.id),qr===\"x\"?Kt.push([Mr.distRatio,0,0]):qr===\"y\"?Kt.push([0,Mr.distRatio,0]):Kt.push([0,0,Mr.distRatio]))}else qr===\"x\"?xt=Ue(1,d-1):qr===\"y\"?xt=Ue(1,v-1):xt=Ue(1,m-1);At.length>0&&(qr===\"x\"?jr[Ge]=rr(St,At,Je,We,Kt,jr[Ge]):qr===\"y\"?jr[Ge]=tt(St,At,Je,We,Kt,jr[Ge]):jr[Ge]=je(St,At,Je,We,Kt,jr[Ge]),Ge++),xt.length>0&&(qr===\"x\"?jr[Ge]=mt(St,xt,Je,We,jr[Ge]):qr===\"y\"?jr[Ge]=Ht(St,xt,Je,We,jr[Ge]):jr[Ge]=at(St,xt,Je,We,jr[Ge]),Ge++)}var Gr=e.caps[qr];Gr.show&&Gr.fill&&(N(Gr.fill),qr===\"x\"?jr[Ge]=mt(St,[0,d-1],Je,We,jr[Ge]):qr===\"y\"?jr[Ge]=Ht(St,[0,v-1],Je,We,jr[Ge]):jr[Ge]=at(St,[0,m-1],Je,We,jr[Ge]),Ge++)}}),s===0&&z(),e._meshX=x,e._meshY=C,e._meshZ=S,e._meshIntensity=g,e._Xs=c,e._Ys=f,e._Zs=h}return rt(),e}function yDt(e,t){var r=e.glplot.gl,n=hDt({gl:r}),i=new P8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}R8e.exports={findNearestOnAxis:fk,generateIsoMeshes:I8e,createIsosurfaceTrace:yDt}});var F8e=ye((mmr,D8e)=>{\"use strict\";D8e.exports={attributes:pF(),supplyDefaults:aZ().supplyDefaults,calc:lZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:yF().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:ux(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var q8e=ye((ymr,z8e)=>{\"use strict\";z8e.exports=F8e()});var fZ=ye((_mr,B8e)=>{\"use strict\";var _Dt=Tu(),xh=pF(),xDt=lk(),O8e=Vl(),cZ=Ao().extendFlat,bDt=mc().overrideAll,_F=B8e.exports=bDt(cZ({x:xh.x,y:xh.y,z:xh.z,value:xh.value,isomin:xh.isomin,isomax:xh.isomax,surface:xh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:xh.slices,caps:xh.caps,text:xh.text,hovertext:xh.hovertext,xhoverformat:xh.xhoverformat,yhoverformat:xh.yhoverformat,zhoverformat:xh.zhoverformat,valuehoverformat:xh.valuehoverformat,hovertemplate:xh.hovertemplate,hovertemplatefallback:xh.hovertemplatefallback},_Dt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:xh.colorbar,opacity:xh.opacity,opacityscale:xDt.opacityscale,lightposition:xh.lightposition,lighting:xh.lighting,flatshading:xh.flatshading,contour:xh.contour,hoverinfo:cZ({},O8e.hoverinfo),showlegend:cZ({},O8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");_F.x.editType=_F.y.editType=_F.z.editType=_F.value.editType=\"calc+clearAxisTypes\"});var U8e=ye((xmr,N8e)=>{\"use strict\";var wDt=Pr(),TDt=fZ(),ADt=aZ().supplyIsoDefaults,SDt=QX().opacityscaleDefaults;N8e.exports=function(t,r,n,i){function a(o,s){return wDt.coerce(t,r,TDt,o,s)}ADt(t,r,n,i,a),SDt(t,r,i,a)}});var j8e=ye((bmr,H8e)=>{\"use strict\";var MDt=qd().gl_mesh3d,EDt=o1().parseColorScale,kDt=Pr().isArrayOrTypedArray,CDt=a1(),LDt=tc().extractOpts,V8e=r5(),hZ=yF().findNearestOnAxis,PDt=yF().generateIsoMeshes;function G8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var dZ=G8e.prototype;dZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=hZ(r,this.data._Xs).id,l=hZ(n,this.data._Ys).id,u=hZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return kDt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};dZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=PDt(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=V8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=V8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:CDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=LDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=EDt(e),this.mesh.update(o)};dZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function IDt(e,t){var r=e.glplot.gl,n=MDt({gl:r}),i=new G8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}H8e.exports=IDt});var X8e=ye((wmr,W8e)=>{\"use strict\";W8e.exports={attributes:fZ(),supplyDefaults:U8e(),calc:lZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:j8e(),moduleType:\"trace\",name:\"volume\",basePlotModule:ux(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var Y8e=ye((Tmr,Z8e)=>{\"use strict\";Z8e.exports=X8e()});var $8e=ye((Amr,J8e)=>{\"use strict\";var RDt=Oa(),K8e=Pr(),DDt=td(),FDt=e5();J8e.exports=function(t,r,n,i){function a(c,f){return K8e.coerce(t,r,FDt,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&K8e.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var 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Ie=2-n(xe)/G(2*M/3);return[ve*G(6*M)/(2*Ie),v(xe)*q((4-Ie*Ie)/3)]};function An(){return t.geoProjection(Fn).scale(165.664)}function Hn(ve,xe){var Ie=G(M*(4+M));return[2/Ie*ve*(1+G(1-4*xe*xe/(M*M))),4/Ie*xe]}Hn.invert=function(ve,xe){var Ie=G(M*(4+M))/2;return[ve*Ie/(1+G(1-xe*xe*(4+M)/(4*M))),xe*Ie/2]};function Qn(){return t.geoProjection(Hn).scale(180.739)}function Vi(ve,xe){var Ie=(2+T)*m(xe);xe/=2;for(var ze=0,Qe=1/0;ze<10&&n(Qe)>p;ze++){var Xe=o(xe);xe-=Qe=(xe+m(xe)*(Xe+2)-Ie)/(2*Xe*(1+Xe))}return[2/G(M*(4+M))*ve*(1+o(xe)),2*G(M/(4+M))*m(xe)]}Vi.invert=function(ve,xe){var Ie=xe*G((4+M)/M)/2,ze=q(Ie),Qe=o(ze);return[ve/(2/G(M*(4+M))*(1+Qe)),q((ze+Ie*(Qe+2))/(2+T))]};function Jn(){return t.geoProjection(Vi).scale(180.739)}function Yn(ve,xe){return[ve*(1+o(xe))/G(2+M),2*xe/G(2+M)]}Yn.invert=function(ve,xe){var Ie=G(2+M),ze=xe*Ie/2;return[Ie*ve/(1+o(ze)),ze]};function Gt(){return t.geoProjection(Yn).scale(173.044)}function wt(ve,xe){for(var 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t.geoProjection(vo).scale(153.93)}var Ct=da(5/6*M,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Sr(){return t.geoProjection(Ct).scale(130.945)}function Jr(ve,xe){var Ie=ve*ve,ze=xe*xe;return[ve*(1-.162388*ze)*(.87-952426e-9*Ie*Ie),xe*(1+ze/12)]}Jr.invert=function(ve,xe){var Ie=ve,ze=xe,Qe=50,Xe;do{var nt=ze*ze;ze-=Xe=(ze*(1+nt/12)-xe)/(1+nt/4)}while(n(Xe)>p&&--Qe>0);Qe=50,ve/=1-.162388*nt;do{var qt=(qt=Ie*Ie)*qt;Ie-=Xe=(Ie*(.87-952426e-9*qt)-ve)/(.87-.00476213*qt)}while(n(Xe)>p&&--Qe>0);return[Ie,ze]};function hi(){return t.geoProjection(Jr).scale(131.747)}var hn=da(2.6516,-.76534,.19123,-.047094,1.36289,-.13965,.031762);function Sn(){return t.geoProjection(hn).scale(131.087)}function En(ve){var xe=ve(T,0)[0]-ve(-T,0)[0];function Ie(ze,Qe){var Xe=ze>0?-.5:.5,nt=ve(ze+Xe*M,Qe);return nt[0]-=Xe*xe,nt}return ve.invert&&(Ie.invert=function(ze,Qe){var Xe=ze>0?-.5:.5,nt=ve.invert(ze+Xe*xe,Qe),qt=nt[0]-Xe*M;return qt<-M?qt+=2*M:qt>M&&(qt-=2*M),nt[0]=qt,nt}),Ie}function ki(ve,xe){var Ie=v(ve),ze=v(xe),Qe=o(xe),Xe=o(ve)*Qe,nt=m(ve)*Qe,qt=m(ze*xe);ve=n(a(nt,qt)),xe=q(Xe),n(ve-T)>p&&(ve%=T);var Wt=_n(ve>M/4?T-ve:ve,xe);return ve>M/4&&(qt=Wt[0],Wt[0]=-Wt[1],Wt[1]=-qt),Wt[0]*=Ie,Wt[1]*=-ze,Wt}ki.invert=function(ve,xe){n(ve)>1&&(ve=v(ve)*2-ve),n(xe)>1&&(xe=v(xe)*2-xe);var Ie=v(ve),ze=v(xe),Qe=-Ie*ve,Xe=-ze*xe,nt=Xe/Qe<1,qt=ya(nt?Xe:Qe,nt?Qe:Xe),Wt=qt[0],nr=qt[1],fr=o(nr);return nt&&(Wt=-T-Wt),[Ie*(a(m(Wt)*fr,-m(nr))+M),ze*q(o(Wt)*fr)]};function _n(ve,xe){if(xe===T)return[0,0];var Ie=m(xe),ze=Ie*Ie,Qe=ze*ze,Xe=1+Qe,nt=1+3*Qe,qt=1-Qe,Wt=q(1/G(Xe)),nr=qt+ze*Xe*Wt,fr=(1-Ie)/nr,br=G(fr),Fr=fr*Xe,Hr=G(Fr),ri=br*qt,Ci,cn;if(ve===0)return[0,-(ri+ze*Hr)];var sn=o(xe),Ln=1/sn,Kn=2*Ie*sn,Aa=(-3*ze+Wt*nt)*Kn,fa=(-nr*sn-(1-Ie)*Aa)/(nr*nr),$a=.5*fa/br,Co=qt*$a-2*ze*br*Kn,Qa=ze*Xe*fa+fr*nt*Kn,mo=-Ln*Kn,Bo=-Ln*Qa,Ps=-2*Ln*Co,Ts=4*ve/M,wo;if(ve>.222*M||xe<M/4&&ve>.175*M){if(Ci=(ri+ze*G(Fr*(1+Qe)-ri*ri))/(1+Qe),ve>M/4)return[Ci,Ci];var To=Ci,hl=.5*Ci;Ci=.5*(hl+To),cn=50;do{var 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ve?(ze=_o(ve,Ie),xe?(Qe=_o(xe,1-Ie),Xe=Qe[1]*Qe[1]+Ie*ze[0]*ze[0]*Qe[0]*Qe[0],[[ze[0]*Qe[2]/Xe,ze[1]*ze[2]*Qe[0]*Qe[1]/Xe],[ze[1]*Qe[1]/Xe,-ze[0]*ze[2]*Qe[0]*Qe[2]/Xe],[ze[2]*Qe[1]*Qe[2]/Xe,-Ie*ze[0]*ze[1]*Qe[0]/Xe]]):[[ze[0],0],[ze[1],0],[ze[2],0]]):(Qe=_o(xe,1-Ie),[[0,Qe[0]/Qe[1]],[1/Qe[1],0],[Qe[2]/Qe[1],0]])}function _o(ve,xe){var Ie,ze,Qe,Xe,nt;if(xe<p)return Xe=m(ve),ze=o(ve),Ie=xe*(ve-Xe*ze)/4,[Xe-Ie*ze,ze+Ie*Xe,1-xe*Xe*Xe/2,ve-Ie];if(xe>=1-p)return Ie=(1-xe)/4,ze=N(ve),Xe=Z(ve),Qe=1/ze,nt=ze*j(ve),[Xe+Ie*(nt-ve)/(ze*ze),Qe-Ie*Xe*Qe*(nt-ve),Qe+Ie*Xe*Qe*(nt+ve),2*i(s(ve))-T+Ie*(nt-ve)/ze];var qt=[1,0,0,0,0,0,0,0,0],Wt=[G(xe),0,0,0,0,0,0,0,0],nr=0;for(ze=G(1-xe),nt=1;n(Wt[nr]/qt[nr])>p&&nr<8;)Ie=qt[nr++],Wt[nr]=(Ie-ze)/2,qt[nr]=(Ie+ze)/2,ze=G(Ie*ze),nt*=2;Qe=nt*qt[nr]*ve;do Xe=Wt[nr]*m(ze=Qe)/qt[nr],Qe=(q(Xe)+Qe)/2;while(--nr);return[m(Qe),Xe=o(Qe),Xe/o(Qe-ze),Qe]}function No(ve,xe,Ie){var ze=n(ve),Qe=n(xe),Xe=j(Qe);if(ze){var nt=1/m(ze),qt=1/(b(ze)*b(ze)),Wt=-(qt+Ie*(Xe*Xe*nt*nt)-1+Ie),nr=(Ie-1)*qt,fr=(-Wt+G(Wt*Wt-4*nr))/2;return[po(i(1/G(fr)),Ie)*v(ve),po(i(G((fr/qt-1)/Ie)),1-Ie)*v(xe)]}return[0,po(i(Xe),1-Ie)*v(xe)]}function po(ve,xe){if(!xe)return ve;if(xe===1)return u(b(ve/2+L));for(var Ie=1,ze=G(1-xe),Qe=G(xe),Xe=0;n(Qe)>p;Xe++){if(ve%M){var nt=i(ze*b(ve)/Ie);nt<0&&(nt+=M),ve+=nt+~~(ve/M)*M}else ve+=ve;Qe=(Ie+ze)/2,ze=G(Ie*ze),Qe=((Ie=Qe)-ze)/2}return ve/(h(2,Xe)*Ie)}function Lo(ve,xe){var Ie=(C-1)/(C+1),ze=G(1-Ie*Ie),Qe=po(T,ze*ze),Xe=-1,nt=u(b(M/4+n(xe)/2)),qt=s(Xe*nt)/G(Ie),Wt=ko(qt*o(Xe*ve),qt*m(Xe*ve)),nr=No(Wt[0],Wt[1],ze*ze);return[-nr[1],(xe>=0?1:-1)*(.5*Qe-nr[0])]}function ko(ve,xe){var Ie=ve*ve,ze=xe+1,Qe=1-Ie-xe*xe;return[.5*((ve>=0?T:-T)-a(Qe,2*ve)),-.25*u(Qe*Qe+4*Ie)+.5*u(ze*ze+Ie)]}function Ds(ve,xe){var Ie=xe[0]*xe[0]+xe[1]*xe[1];return[(ve[0]*xe[0]+ve[1]*xe[1])/Ie,(ve[1]*xe[0]-ve[0]*xe[1])/Ie]}Lo.invert=function(ve,xe){var Ie=(C-1)/(C+1),ze=G(1-Ie*Ie),Qe=po(T,ze*ze),Xe=-1,nt=Ma(.5*Qe-xe,-ve,ze*ze),qt=Ds(nt[0],nt[1]),Wt=a(qt[1],qt[0])/Xe;return[Wt,2*i(s(.5/Xe*u(Ie*qt[0]*qt[0]+Ie*qt[1]*qt[1])))-T]};function Fs(){return t.geoProjection(En(Lo)).scale(151.496)}function ll(ve){var xe=m(ve),Ie=o(ve),ze=ul(ve);ze.invert=ul(-ve);function Qe(Xe,nt){var qt=ze(Xe,nt);Xe=qt[0],nt=qt[1];var Wt=m(nt),nr=o(nt),fr=o(Xe),br=V(xe*Wt+Ie*nr*fr),Fr=m(br),Hr=n(Fr)>p?br/Fr:1;return[Hr*Ie*m(Xe),(n(Xe)>T?Hr:-Hr)*(xe*nr-Ie*Wt*fr)]}return Qe.invert=function(Xe,nt){var qt=G(Xe*Xe+nt*nt),Wt=-m(qt),nr=o(qt),fr=qt*nr,br=-nt*Wt,Fr=qt*xe,Hr=G(fr*fr+br*br-Fr*Fr),ri=a(fr*Fr+br*Hr,br*Fr-fr*Hr),Ci=(qt>T?-1:1)*a(Xe*Wt,qt*o(ri)*nr+nt*m(ri)*Wt);return ze.invert(Ci,ri)},Qe}function ul(ve){var xe=m(ve),Ie=o(ve);return function(ze,Qe){var Xe=o(Qe),nt=o(ze)*Xe,qt=m(ze)*Xe,Wt=m(Qe);return[a(qt,nt*Ie-Wt*xe),q(Wt*Ie+nt*xe)]}}function Fl(){var ve=0,xe=t.geoProjectionMutator(ll),Ie=xe(ve),ze=Ie.rotate,Qe=Ie.stream,Xe=t.geoCircle();return Ie.parallel=function(nt){if(!arguments.length)return ve*P;var qt=Ie.rotate();return xe(ve=nt*E).rotate(qt)},Ie.rotate=function(nt){return arguments.length?(ze.call(Ie,[nt[0],nt[1]-ve*P]),Xe.center([-nt[0],-nt[1]]),Ie):(nt=ze.call(Ie),nt[1]+=ve*P,nt)},Ie.stream=function(nt){return nt=Qe(nt),nt.sphere=function(){nt.polygonStart();var qt=.01,Wt=Xe.radius(90-qt)().coordinates[0],nr=Wt.length-1,fr=-1,br;for(nt.lineStart();++fr<nr;)nt.point((br=Wt[fr])[0],br[1]);for(nt.lineEnd(),Wt=Xe.radius(90+qt)().coordinates[0],nr=Wt.length-1,nt.lineStart();--fr>=0;)nt.point((br=Wt[fr])[0],br[1]);nt.lineEnd(),nt.polygonEnd()},nt},Ie.scale(79.4187).parallel(45).clipAngle(180-.001)}var us=3,rl=q(1-1/us)*P,As=Yr(0);function cl(ve){var xe=rl*E,Ie=xt(M,xe)[0]-xt(-M,xe)[0],ze=As(0,xe)[1],Qe=xt(0,xe)[1],Xe=S-Qe,nt=g/ve,qt=4/g,Wt=ze+Xe*Xe*4/g;function nr(fr,br){var Fr,Hr=n(br);if(Hr>xe){var 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JDe=ye((syr,KDe)=>{\"use strict\";var nd=Fa(),jZ=Pr(),s7t=Oa(),a5=Math.PI/180,nw=180/Math.PI,XZ={cursor:\"pointer\"},ZZ={cursor:\"auto\"};function l7t(e,t){var r=e.projection,n;return t._isScoped?n=u7t:t._isClipped?n=f7t:n=c7t,n(e,r)}KDe.exports=l7t;function YZ(e,t){return nd.behavior.zoom().translate(t.translate()).scale(t.scale())}function KZ(e,t,r){var n=e.id,i=e.graphDiv,a=i.layout,o=a[n],s=i._fullLayout,l=s[n],u={},c={};function f(h,d){u[n+\".\"+h]=jZ.nestedProperty(o,h).get(),s7t.call(\"_storeDirectGUIEdit\",a,s._preGUI,u);var v=jZ.nestedProperty(l,h);v.get()!==d&&(v.set(d),jZ.nestedProperty(o,h).set(d),c[n+\".\"+h]=d)}r(f),f(\"projection.scale\",t.scale()/e.fitScale),f(\"fitbounds\",!1),i.emit(\"plotly_relayout\",c)}function u7t(e,t){var r=YZ(e,t);function n(){nd.select(this).style(XZ)}function i(){t.scale(nd.event.scale).translate(nd.event.translate),e.render(!0);var 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a=t[this.id],o=[],s=!1;for(var l in hp.layerNameToAdjective)if(l!==\"frame\"&&a[\"show\"+l]){s=!0;break}for(var u=!1,c=0;c<e.length;c++){var f=e[0][0].trace;f._geo=i,f.locationmode&&(s=!0);var h=f.marker;if(h){var d=h.angle,v=h.angleref;(d||v===\"north\"||v===\"previous\")&&(u=!0)}}if(this._hasMarkerAngles=u,s){var m=rFe.getTopojsonName(a);(i.topojson===null||m!==i.topojsonName)&&(i.topojsonName=m,PlotlyGeoAssets.topojson[i.topojsonName]===void 0&&o.push(i.fetchTopojson()))}o=o.concat(tFe.fetchTraceGeoData(e)),r.push(new Promise(function(b,p){Promise.all(o).then(function(){i.topojson=PlotlyGeoAssets.topojson[i.topojsonName],i.update(e,t),b()}).catch(p)}))};tm.fetchTopojson=function(){var e=this,t=rFe.getTopojsonPath(e.topojsonURL,e.topojsonName);return new Promise(function(r,n){u1.json(t,function(i,a){if(i)return i.status===404?n(new Error([\"plotly.js could not find topojson file at\",t+\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):n(new 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fFe=ye((cyr,cFe)=>{\"use strict\";var VF=Pr(),B7t=O_(),N7t=Id().getSubplotData,{unwrapLonRange:U7t}=ey(),GF=hk(),V7t=eY(),uFe=GF.axesNames;cFe.exports=function(t,r,n){B7t(t,r,n,{type:\"geo\",attributes:V7t,handleDefaults:G7t,fullData:n,partition:\"y\"})};function G7t(e,t,r,n){var i=N7t(n.fullData,\"geo\",n.id),a=i.map(function(ae){return ae.index}),o=r(\"resolution\"),s=r(\"scope\"),l=GF.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!GF.lonaxisSpan[u];if(e.visible===!1){var m=VF.extendDeep({},t._template);m.showcoastlines=!1,m.showcountries=!1,m.showframe=!1,m.showlakes=!1,m.showland=!1,m.showocean=!1,m.showrivers=!1,m.showsubunits=!1,m.lonaxis&&(m.lonaxis.showgrid=!1),m.lataxis&&(m.lataxis.showgrid=!1),t._template=m}for(var b=r(\"visible\"),p,k=0;k<uFe.length;k++){var M=uFe[k],T=[30,10][k],L;if(f)L=l[M+\"Range\"];else{var x=GF[M+\"Span\"],C=(x[u]||x[\"*\"])/2,S=r(\"projection.rotation.\"+M.slice(0,3),l.projRotate[k]);L=[S-C,S+C]}var g=r(M+\".range\",L);r(M+\".tick0\"),r(M+\".dtick\",T),p=r(M+\".showgrid\",b?void 0:!1),p&&(r(M+\".gridcolor\"),r(M+\".gridwidth\"),r(M+\".griddash\")),t[M]._ax={type:\"linear\",_id:M.slice(0,3),_traceIndices:a,setScale:VF.identity,c2l:VF.identity,r2l:VF.identity,autorange:!0,range:g.slice(),_m:1,_input:{}}}var P=t.lonaxis.range,E=t.lataxis.range;let[z,q]=U7t(P);var V=(z+q)/2,G;if(!c){var Z=f?l.projRotate:[V,0,0];G=r(\"projection.rotation.lon\",Z[0]),r(\"projection.rotation.lat\",Z[1]),r(\"projection.rotation.roll\",Z[2]),p=r(\"showcoastlines\",!f&&b),p&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),p=r(\"showocean\",b?void 0:!1),p&&r(\"oceancolor\")}var j,N;if(c?(j=-96.6,N=38.7):(j=f?V:G,N=(E[0]+E[1])/2),r(\"center.lon\",j),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var 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wqt=Pze(),Tqt=lM(),Aqt=Bze(),Sqt=cY(),Mqt=Gze(),hY=document.createElement(\"canvas\"),dp=hY.getContext(\"2d\");Hze.exports=Eqt;function Eqt(e,t){if(!Sqt(e))throw Error(\"Argument should be valid svg path string\");t||(t={});var r,n;t.shape?(r=t.shape[0],n=t.shape[1]):(r=hY.width=t.w||t.width||200,n=hY.height=t.h||t.height||200);var i=Math.min(r,n),a=t.stroke||0,o=t.viewbox||t.viewBox||wqt(e),s=[r/(o[2]-o[0]),n/(o[3]-o[1])],l=Math.min(s[0]||0,s[1]||0)/2;if(dp.fillStyle=\"black\",dp.fillRect(0,0,r,n),dp.fillStyle=\"white\",a&&(typeof a!=\"number\"&&(a=1),a>0?dp.strokeStyle=\"white\":dp.strokeStyle=\"black\",dp.lineWidth=Math.abs(a)),dp.translate(r*.5,n*.5),dp.scale(l,l),kqt()){var u=new Path2D(e);dp.fill(u),a&&dp.stroke(u)}else{var c=Tqt(e);Aqt(dp,c),dp.fill(),a&&dp.stroke()}dp.setTransform(1,0,0,1,0,0);var f=Mqt(dp,{cutoff:t.cutoff!=null?t.cutoff:.5,radius:t.radius!=null?t.radius:i*.5});return f}var rz;function kqt(){if(rz!=null)return rz;var e=document.createElement(\"canvas\").getContext(\"2d\");if(e.canvas.width=e.canvas.height=1,!window.Path2D)return rz=!1;var t=new Path2D(\"M0,0h1v1h-1v-1Z\");e.fillStyle=\"black\",e.fill(t);var r=e.getImageData(0,0,1,1);return rz=r&&r.data&&r.data[3]===255}});var cw=ye((Zyr,r7e)=>{\"use strict\";var nz=Eo(),Cqt=jze(),iz=lx(),Lqt=Oa(),d5=Pr(),bh=d5.isArrayOrTypedArray,f5=So(),Wze=df(),Xze=o1().formatColor,h5=Ru(),Pqt=U3(),vY=KF(),Tk=gx(),Iqt=Z1().DESELECTDIM,Zze={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},Rqt=ip().appendArrayPointValue;function Dqt(e,t){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=e._context.plotGlPixelRatio;if(t.visible!==!0)return n;if(h5.hasText(t)&&(n.text=t7e(e,t),n.textSel=Kze(e,t,t.selected),n.textUnsel=Kze(e,t,t.unselected)),h5.hasMarkers(t)&&(n.marker=gY(e,t),n.markerSel=pY(e,t,t.selected),n.markerUnsel=pY(e,t,t.unselected),!t.unselected&&bh(t.marker.opacity))){var a=t.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=Iqt*a[r]}if(h5.hasLines(t)){n.line={overlay:!0,thickness:t.line.width*i,color:t.line.color,opacity:t.opacity};var o=(Tk.DASHES[t.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=t.line.width*i;n.line.dashes=o}return t.error_x&&t.error_x.visible&&(n.errorX=Jze(t,t.error_x,i)),t.error_y&&t.error_y.visible&&(n.errorY=Jze(t,t.error_y,i)),t.fill&&t.fill!==\"none\"&&(n.fill={closed:!0,fill:t.fillcolor,thickness:0}),n}function t7e(e,t){var r=e._fullLayout,n=t._length,i=t.textfont,a=t.textposition,o=bh(a)?a:[a],s=i.color,l=i.size,u=i.family,c=i.weight,f=i.style,h=i.variant,d={},v,m=e._context.plotGlPixelRatio,b=t.texttemplate;if(b){d.text=[];var p=r._d3locale,k=Array.isArray(b),M=k?Math.min(b.length,n):n,T=k?function(P){return b[P]}:function(){return b};for(v=0;v<M;v++){var L={i:v},x=t._module.formatLabels(L,t,r),C={};Rqt(C,t,v),d.text.push(d5.texttemplateString({data:[C,L,t._meta],fallback:t.texttemplatefallback,labels:x,locale:p,template:T(v)}))}}else bh(t.text)&&t.text.length<n?d.text=t.text.slice():d.text=t.text;if(bh(d.text))for(v=d.text.length;v<n;v++)d.text[v]=\"\";for(d.opacity=t.opacity,d.font={},d.align=[],d.baseline=[],v=0;v<o.length;v++){var S=o[v].split(/\\s+/);switch(S[1]){case\"left\":d.align.push(\"right\");break;case\"right\":d.align.push(\"left\");break;default:d.align.push(S[1])}switch(S[0]){case\"top\":d.baseline.push(\"bottom\");break;case\"bottom\":d.baseline.push(\"top\");break;default:d.baseline.push(S[0])}}if(bh(s))for(d.color=new Array(n),v=0;v<n;v++)d.color[v]=s[v];else d.color=s;if(bh(l)||Array.isArray(u)||bh(c)||Array.isArray(f)||Array.isArray(h))for(d.font=new Array(n),v=0;v<n;v++){var g=d.font[v]={};g.size=(d5.isTypedArray(l)?l[v]:bh(l)?nz(l[v])?l[v]:0:l)*m,g.family=Array.isArray(u)?u[v]:u,g.weight=Yze(bh(c)?c[v]:c),g.style=Array.isArray(f)?f[v]:f,g.variant=Array.isArray(h)?h[v]:h}else d.font={size:l*m,family:u,weight:Yze(c),style:f,variant:h};return d}function Yze(e){return e<=1e3?e>500?\"bold\":\"normal\":e}function gY(e,t){var r=t._length,n=t.marker,i={},a,o=bh(n.symbol),s=bh(n.angle),l=bh(n.color),u=bh(n.line.color),c=bh(n.opacity),f=bh(n.size),h=bh(n.line.width),d;if(o||(d=vY.isOpenSymbol(n.symbol)),o||l||u||c||s){i.symbols=new Array(r),i.angles=new Array(r),i.colors=new Array(r),i.borderColors=new Array(r);var v=n.symbol,m=n.angle,b=Xze(n,n.opacity,r),p=Xze(n.line,n.opacity,r);if(!bh(p[0])){var k=p;for(p=Array(r),a=0;a<r;a++)p[a]=k}if(!bh(b[0])){var M=b;for(b=Array(r),a=0;a<r;a++)b[a]=M}if(!bh(v)){var T=v;for(v=Array(r),a=0;a<r;a++)v[a]=T}if(!bh(m)){var L=m;for(m=Array(r),a=0;a<r;a++)m[a]=L}for(i.symbols=v,i.angles=m,i.colors=b,i.borderColors=p,a=0;a<r;a++)o&&(d=vY.isOpenSymbol(n.symbol[a])),d&&(p[a]=b[a].slice(),b[a]=b[a].slice(),b[a][3]=0);for(i.opacity=t.opacity,i.markers=new Array(r),a=0;a<r;a++)i.markers[a]=e7e({mx:i.symbols[a],ma:i.angles[a]},t)}else d?(i.color=iz(n.color,\"uint8\"),i.color[3]=0,i.borderColor=iz(n.color,\"uint8\")):(i.color=iz(n.color,\"uint8\"),i.borderColor=iz(n.line.color,\"uint8\")),i.opacity=t.opacity*n.opacity,i.marker=e7e({mx:n.symbol,ma:n.angle},t);var x=1,C=Pqt(t,x),S;if(f||h){var g=i.sizes=new Array(r),P=i.borderSizes=new Array(r),E=0,z;if(f){for(a=0;a<r;a++)g[a]=C(n.size[a]),E+=g[a];z=E/r}else for(S=C(n.size),a=0;a<r;a++)g[a]=S;if(h)for(a=0;a<r;a++)P[a]=n.line.width[a];else for(S=n.line.width,a=0;a<r;a++)P[a]=S;i.sizeAvg=z}else i.size=C(n&&n.size||10),i.borderSizes=C(n.line.width);return i}function pY(e,t,r){var n=t.marker,i={};return r&&(r.marker&&r.marker.symbol?i=gY(e,d5.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),r.marker.opacity!==void 0&&(i.opacity=r.marker.opacity))),i}function Kze(e,t,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:t.text,texttemplate:t.texttemplate,textposition:t.textposition,textfont:d5.extendFlat({},t.textfont)};r.textfont&&d5.extendFlat(i.textfont,r.textfont),n=t7e(e,i)}return n}function Jze(e,t,r){var n={capSize:t.width*2*r,lineWidth:t.thickness*r,color:t.color};return t.copy_ystyle&&(n=e.error_y),n}var $ze=Tk.SYMBOL_SDF_SIZE,uw=Tk.SYMBOL_SIZE,Qze=Tk.SYMBOL_STROKE,dY={},Fqt=f5.symbolFuncs[0](uw*.05);function e7e(e,t){var r=e.mx;if(r===\"circle\")return null;var n,i,a=f5.symbolNumber(r),o=f5.symbolFuncs[a%100],s=!!f5.symbolNoDot[a%100],l=!!f5.symbolNoFill[a%100],u=vY.isDotSymbol(r);if(e.ma&&(r+=\"_\"+e.ma),dY[r])return dY[r];var c=f5.getMarkerAngle(e,t);return u&&!s?n=o(uw*1.1,c)+Fqt:n=o(uw,c),i=Cqt(n,{w:$ze,h:$ze,viewBox:[-uw,-uw,uw,uw],stroke:l?Qze:-Qze}),dY[r]=i,i||null}function zqt(e,t,r){var n=r.length,i=n/2,a,o;if(h5.hasLines(t)&&i)if(t.line.shape===\"hv\"){for(a=[],o=0;o<i-1;o++)isNaN(r[o*2])||isNaN(r[o*2+1])?a.push(NaN,NaN,NaN,NaN):(a.push(r[o*2],r[o*2+1]),!isNaN(r[o*2+2])&&!isNaN(r[o*2+3])?a.push(r[o*2+2],r[o*2+1]):a.push(NaN,NaN));a.push(r[n-2],r[n-1])}else if(t.line.shape===\"hvh\"){for(a=[],o=0;o<i-1;o++)if(isNaN(r[o*2])||isNaN(r[o*2+1])||isNaN(r[o*2+2])||isNaN(r[o*2+3]))!isNaN(r[o*2])&&!isNaN(r[o*2+1])?a.push(r[o*2],r[o*2+1]):a.push(NaN,NaN),a.push(NaN,NaN);else{var s=(r[o*2]+r[o*2+2])/2;a.push(r[o*2],r[o*2+1],s,r[o*2+1],s,r[o*2+3])}a.push(r[n-2],r[n-1])}else if(t.line.shape===\"vhv\"){for(a=[],o=0;o<i-1;o++)if(isNaN(r[o*2])||isNaN(r[o*2+1])||isNaN(r[o*2+2])||isNaN(r[o*2+3]))!isNaN(r[o*2])&&!isNaN(r[o*2+1])?a.push(r[o*2],r[o*2+1]):a.push(NaN,NaN),a.push(NaN,NaN);else{var l=(r[o*2+1]+r[o*2+3])/2;a.push(r[o*2],r[o*2+1],r[o*2],l,r[o*2+2],l)}a.push(r[n-2],r[n-1])}else if(t.line.shape===\"vh\"){for(a=[],o=0;o<i-1;o++)isNaN(r[o*2])||isNaN(r[o*2+1])?a.push(NaN,NaN,NaN,NaN):(a.push(r[o*2],r[o*2+1]),!isNaN(r[o*2+2])&&!isNaN(r[o*2+3])?a.push(r[o*2],r[o*2+3]):a.push(NaN,NaN));a.push(r[n-2],r[n-1])}else a=r;var u=!1;for(o=0;o<a.length;o++)if(isNaN(a[o])){u=!0;break}var c=u||a.length>Tk.TOO_MANY_POINTS||h5.hasMarkers(t)?\"rect\":\"round\";if(u&&t.connectgaps){var f=a[0],h=a[1];for(o=0;o<a.length;o+=2)isNaN(a[o])||isNaN(a[o+1])?(a[o]=f,a[o+1]=h):(f=a[o],h=a[o+1])}return{join:c,positions:a}}function qqt(e,t,r,n,i){var a=Lqt.getComponentMethod(\"errorbars\",\"makeComputeError\"),o=Wze.getFromId(e,t.xaxis,\"x\"),s=Wze.getFromId(e,t.yaxis,\"y\"),l=r.length/2,u={};function c(f,h){var d=h._id.charAt(0),v=t[\"error_\"+d];if(v&&v.visible&&(h.type===\"linear\"||h.type===\"log\")){for(var m=a(v),b={x:0,y:1}[d],p={x:[0,1,2,3],y:[2,3,0,1]}[d],k=new Float64Array(4*l),M=1/0,T=-1/0,L=0,x=0;L<l;L++,x+=4){var C=f[L];if(nz(C)){var S=r[L*2+b],g=m(C,L),P=g[0],E=g[1];if(nz(P)&&nz(E)){var z=C-P,q=C+E;k[x+p[0]]=S-h.c2l(z),k[x+p[1]]=h.c2l(q)-S,k[x+p[2]]=0,k[x+p[3]]=0,M=Math.min(M,C-P),T=Math.max(T,C+E)}}}u[d]={positions:r,errors:k,_bnds:[M,T]}}}return c(n,o),c(i,s),u}function Oqt(e,t,r,n){var i=t._length,a={},o;if(h5.hasMarkers(t)){var s=r.font,l=r.align,u=r.baseline;for(a.offset=new Array(i),o=0;o<i;o++){var c=n.sizes?n.sizes[o]:n.size,f=bh(s)?s[o].size:s.size,h=bh(l)?l.length>1?l[o]:l[0]:l,d=bh(u)?u.length>1?u[o]:u[0]:u,v=Zze[h],m=Zze[d],b=c?c/.8+1:0,p=-m*b-m*.5;a.offset[o]=[v*b/f,p/f]}}return a}r7e.exports={style:Dqt,markerStyle:gY,markerSelection:pY,linePositions:zqt,errorBarPositions:qqt,textPosition:Oqt}});var mY=ye((Yyr,i7e)=>{\"use strict\";var az=Pr();i7e.exports=function(t,r){var n=r._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return r._scene||(n=r._scene={},n.init=function(){az.extendFlat(n,a,i)},n.init(),n.update=function(s){var l=az.repeat(s,n.count);if(n.fill2d&&n.fill2d.update(l),n.scatter2d&&n.scatter2d.update(l),n.line2d&&n.line2d.update(l),n.error2d&&n.error2d.update(l.concat(l)),n.select2d&&n.select2d.update(l),n.glText)for(var u=0;u<n.count;u++)n.glText[u].update(s)},n.draw=function(){for(var s=n.count,l=n.fill2d,u=n.error2d,c=n.line2d,f=n.scatter2d,h=n.glText,d=n.select2d,v=n.selectBatch,m=n.unselectBatch,b=0;b<s;b++){if(l&&n.fillOrder[b]&&l.draw(n.fillOrder[b]),c&&n.lineOptions[b]&&c.draw(b),u&&(n.errorXOptions[b]&&u.draw(b),n.errorYOptions[b]&&u.draw(b+s)),f&&n.markerOptions[b])if(m[b].length){var p=az.repeat([],n.count);p[b]=m[b],f.draw(p)}else v[b].length||f.draw(b);h[b]&&n.textOptions[b]&&h[b].render()}d&&d.draw(v),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach(function(s){s.destroy&&s.destroy()}),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,r._scene=null}),n.dirty||az.extendFlat(n,i),n}});var u7e=ye((Kyr,l7e)=>{\"use strict\";var Bqt=$F(),v5=Pr(),n7e=df(),Nqt=Mg().findExtremes,a7e=zg(),yY=O0(),Uqt=yY.calcMarkerSize,Vqt=yY.calcAxisExpansion,Gqt=yY.setFirstScatter,Hqt=z0(),p5=cw(),jqt=mY(),o7e=fs().BADNUM,Wqt=gx().TOO_MANY_POINTS;l7e.exports=function(t,r){var n=t._fullLayout,i=r._xA=n7e.getFromId(t,r.xaxis,\"x\"),a=r._yA=n7e.getFromId(t,r.yaxis,\"y\"),o=n._plots[r.xaxis+r.yaxis],s=r._length,l=s>=Wqt,u=s*2,c={},f,h=i.makeCalcdata(r,\"x\"),d=a.makeCalcdata(r,\"y\"),v=a7e(r,i,\"x\",h),m=a7e(r,a,\"y\",d),b=v.vals,p=m.vals;r._x=b,r._y=p,r.xperiodalignment&&(r._origX=h,r._xStarts=v.starts,r._xEnds=v.ends),r.yperiodalignment&&(r._origY=d,r._yStarts=m.starts,r._yEnds=m.ends);var k=new Array(u),M=new Array(s);for(f=0;f<s;f++)k[f*2]=b[f]===o7e?NaN:b[f],k[f*2+1]=p[f]===o7e?NaN:p[f],M[f]=f;if(i.type===\"log\")for(f=0;f<u;f+=2)k[f]=i.c2l(k[f]);if(a.type===\"log\")for(f=1;f<u;f+=2)k[f]=a.c2l(k[f]);l&&i.type!==\"log\"&&a.type!==\"log\"?c.tree=Bqt(k):c.ids=M,Hqt(t,r);var T=Xqt(t,o,r,k,b,p),L=jqt(t,o);Gqt(n,r);var x;return l?T.marker&&(x=T.marker.sizeAvg||Math.max(T.marker.size,3)):x=Uqt(r,s),Vqt(t,r,i,a,b,p,x),T.errorX&&s7e(r,i,T.errorX),T.errorY&&s7e(r,a,T.errorY),T.fill&&!L.fill2d&&(L.fill2d=!0),T.marker&&!L.scatter2d&&(L.scatter2d=!0),T.line&&!L.line2d&&(L.line2d=!0),(T.errorX||T.errorY)&&!L.error2d&&(L.error2d=!0),T.text&&!L.glText&&(L.glText=!0),T.marker&&(T.marker.snap=s),L.lineOptions.push(T.line),L.errorXOptions.push(T.errorX),L.errorYOptions.push(T.errorY),L.fillOptions.push(T.fill),L.markerOptions.push(T.marker),L.markerSelectedOptions.push(T.markerSel),L.markerUnselectedOptions.push(T.markerUnsel),L.textOptions.push(T.text),L.textSelectedOptions.push(T.textSel),L.textUnselectedOptions.push(T.textUnsel),L.selectBatch.push([]),L.unselectBatch.push([]),c._scene=L,c.index=L.count,c.x=b,c.y=p,c.positions=k,L.count++,[{x:!1,y:!1,t:c,trace:r}]};function s7e(e,t,r){var n=e._extremes[t._id],i=Nqt(t,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}function Xqt(e,t,r,n,i,a){var o=p5.style(e,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&v5.extendFlat(o.line,p5.linePositions(e,r,n)),o.errorX||o.errorY){var s=p5.errorBarPositions(e,r,n,i,a);o.errorX&&v5.extendFlat(o.errorX,s.x),o.errorY&&v5.extendFlat(o.errorY,s.y)}return o.text&&(v5.extendFlat(o.text,{positions:n},p5.textPosition(e,r,o.text,o.marker)),v5.extendFlat(o.textSel,{positions:n},p5.textPosition(e,r,o.text,o.markerSel)),v5.extendFlat(o.textUnsel,{positions:n},p5.textPosition(e,r,o.text,o.markerUnsel))),o}});var _Y=ye((Jyr,f7e)=>{\"use strict\";var c7e=Pr(),Zqt=ka(),Yqt=Z1().DESELECTDIM;function Kqt(e){var t=e[0],r=t.trace,n=t.t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],u=i.textSelectedOptions[a]||{},c=i.textUnselectedOptions[a]||{},f=c7e.extendFlat({},l),h,d;if(o.length||s.length){var v=u.color,m=c.color,b=l.color,p=c7e.isArrayOrTypedArray(b);for(f.color=new Array(r._length),h=0;h<o.length;h++)d=o[h],f.color[d]=v||(p?b[d]:b);for(h=0;h<s.length;h++){d=s[h];var k=p?b[d]:b;f.color[d]=m||(v?k:Zqt.addOpacity(k,Yqt))}}i.glText[a].update(f)}f7e.exports={styleTextSelection:Kqt}});var xY=ye(($yr,d7e)=>{\"use strict\";var h7e=Ru(),Jqt=_Y().styleTextSelection;d7e.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l=n[0].t,u=s._length,c=l.x,f=l.y,h=l._scene,d=l.index;if(!h)return o;var v=h7e.hasText(s),m=h7e.hasMarkers(s),b=!m&&!v;if(s.visible!==!0||b)return o;var p=[],k=[];if(r!==!1&&!r.degenerate)for(var M=0;M<u;M++)r.contains([l.xpx[M],l.ypx[M]],!1,M,t)?(p.push(M),o.push({pointNumber:M,x:i.c2d(c[M]),y:a.c2d(f[M])})):k.push(M);if(m){var T=h.scatter2d;if(!p.length&&!k.length){var L=new Array(h.count);L[d]=h.markerOptions[d],T.update.apply(T,L)}else if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var x=new Array(h.count);x[d]=h.markerUnselectedOptions[d],T.update.apply(T,x)}}return h.selectBatch[d]=p,h.unselectBatch[d]=k,v&&Jqt(n),o}});var p7e=ye((Qyr,v7e)=>{\"use strict\";var $qt=YF();v7e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:mh(),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:_k(),supplyDefaults:KFe(),crossTraceDefaults:vU(),colorbar:Qd(),formatLabels:$Fe(),calc:u7e(),hoverPoints:$qt.hoverPoints,selectPoints:xY(),meta:{}}});var m7e=ye((e1r,sz)=>{\"use strict\";var oz=ak();sz.exports=g7e;sz.exports.to=g7e;sz.exports.from=Qqt;function g7e(e,t){t==null&&(t=!0);var r=e[0],n=e[1],i=e[2],a=e[3];a==null&&(a=t?1:255),t&&(r*=255,n*=255,i*=255,a*=255),r=oz(r,0,255)&255,n=oz(n,0,255)&255,i=oz(i,0,255)&255,a=oz(a,0,255)&255;var o=r*16777216+(n<<16)+(i<<8)+a;return o}function Qqt(e,t){e=+e;var r=e>>>24,n=(e&16711680)>>>16,i=(e&65280)>>>8,a=e&255;return t===!1?[r,n,i,a]:[r/255,n/255,i/255,a/255]}});var Nh=ye((t1r,_7e)=>{\"use strict\";var y7e=Object.getOwnPropertySymbols,eOt=Object.prototype.hasOwnProperty,tOt=Object.prototype.propertyIsEnumerable;function rOt(e){if(e==null)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(e)}function iOt(){try{if(!Object.assign)return!1;var e=new String(\"abc\");if(e[5]=\"de\",Object.getOwnPropertyNames(e)[0]===\"5\")return!1;for(var t={},r=0;r<10;r++)t[\"_\"+String.fromCharCode(r)]=r;var n=Object.getOwnPropertyNames(t).map(function(a){return t[a]});if(n.join(\"\")!==\"0123456789\")return!1;var i={};return\"abcdefghijklmnopqrst\".split(\"\").forEach(function(a){i[a]=a}),Object.keys(Object.assign({},i)).join(\"\")===\"abcdefghijklmnopqrst\"}catch(a){return!1}}_7e.exports=iOt()?Object.assign:function(e,t){for(var r,n=rOt(e),i,a=1;a<arguments.length;a++){r=Object(arguments[a]);for(var o in r)eOt.call(r,o)&&(n[o]=r[o]);if(y7e){i=y7e(r);for(var s=0;s<i.length;s++)tOt.call(r,i[s])&&(n[i[s]]=r[i[s]])}}return n}});var b7e=ye((r1r,x7e)=>{x7e.exports=function(e){typeof e==\"string\"&&(e=[e]);for(var t=[].slice.call(arguments,1),r=[],n=0;n<e.length-1;n++)r.push(e[n],t[n]||\"\");return r.push(e[n]),r.join(\"\")}});var bY=ye((i1r,w7e)=>{\"use strict\";w7e.exports=function(t,r,n){Array.isArray(n)||(n=[].slice.call(arguments,2));for(var i=0,a=n.length;i<a;i++){var o=n[i];for(var s in o)if(!(r[s]!==void 0&&!Array.isArray(r[s])&&t[s]===r[s])&&s in r){var l;if(o[s]===!0)l=r[s];else{if(o[s]===!1)continue;if(typeof o[s]==\"function\"&&(l=o[s](r[s],t,r),l===void 0))continue}t[s]=l}}return t}});var A7e=ye((n1r,T7e)=>{\"use strict\";T7e.exports=typeof navigator!=\"undefined\"&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))});var lz=ye((a1r,g5)=>{\"use strict\";g5.exports=Ak;g5.exports.float32=g5.exports.float=Ak;g5.exports.fract32=g5.exports.fract=nOt;var S7e=new Float32Array(1);function nOt(e,t){if(e.length){if(e instanceof Float32Array)return new Float32Array(e.length);t instanceof Float32Array||(t=Ak(e));for(var r=0,n=t.length;r<n;r++)t[r]=e[r]-t[r];return t}return Ak(e-Ak(e))}function Ak(e){return e.length?e instanceof Float32Array?e:new Float32Array(e):(S7e[0]=e,S7e[0])}});var TY=ye((o1r,k7e)=>{\"use strict\";function aOt(e,t){var r=e==null?null:typeof Symbol!=\"undefined\"&&e[Symbol.iterator]||e[\"@@iterator\"];if(r!=null){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(e)).next,t===0){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==t);l=!0);}catch(c){u=!0,i=c}finally{try{if(!l&&r.return!=null&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}function oOt(e,t){return uOt(e)||aOt(e,t)||E7e(e,t)||hOt()}function sOt(e){return lOt(e)||cOt(e)||E7e(e)||fOt()}function lOt(e){if(Array.isArray(e))return wY(e)}function uOt(e){if(Array.isArray(e))return e}function cOt(e){if(typeof Symbol!=\"undefined\"&&e[Symbol.iterator]!=null||e[\"@@iterator\"]!=null)return Array.from(e)}function E7e(e,t){if(e){if(typeof e==\"string\")return wY(e,t);var r=Object.prototype.toString.call(e).slice(8,-1);if(r===\"Object\"&&e.constructor&&(r=e.constructor.name),r===\"Map\"||r===\"Set\")return Array.from(e);if(r===\"Arguments\"||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r))return wY(e,t)}}function wY(e,t){(t==null||t>e.length)&&(t=e.length);for(var r=0,n=new Array(t);r<t;r++)n[r]=e[r];return n}function fOt(){throw new TypeError(`Invalid attempt to spread non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function hOt(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var dOt=lx(),vOt=ow(),pOt=m7e(),gOt=$F(),fw=Nh(),uz=b7e(),mOt=ry(),yOt=bY(),_Ot=sw(),M7e=A7e(),cz=lz(),xOt=c5(),bOt=av;function av(e,t){var r=this;if(!(this instanceof av))return new av(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=M7e,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),fw(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,p){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,p){return p.xAttr||{buffer:p.positionBuffer,stride:8,offset:0}},y:function(b,p){return p.yAttr||{buffer:p.positionBuffer,stride:8,offset:4}},xFract:function(b,p){return p.xAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:0}},yFract:function(b,p){return p.yAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:4}},size:function(b,p){return p.size.length?{buffer:p.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(p.size*255/r.maxSize)]}},borderSize:function(b,p){return p.borderSize.length?{buffer:p.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(p.borderSize*255/r.maxSize)]}},colorId:function(b,p){return p.color.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(p.color*4,p.color*4+4):[p.color]}},borderColorId:function(b,p){return p.borderColor.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(p.borderColor*4,p.borderColor*4+4):[p.borderColor]}},isActive:function(b,p){return p.activation===!0?{constant:[1]}:p.activation?p.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=fw({},h);d.frag=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform float opacity;\n",
+       "uniform sampler2D markerTexture;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float smoothStep(float x, float y) {\n",
+       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n",
+       "\n",
+       "  // max-distance alpha\n",
+       "  if (dist < 0.003) discard;\n",
+       "\n",
+       "  // null-border case\n",
+       "  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n",
+       "    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n",
+       "    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n",
+       "  }\n",
+       "  else {\n",
+       "    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n",
+       "    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n",
+       "\n",
+       "    vec4 color = fragBorderColor;\n",
+       "    color.a *= borderColorAmt;\n",
+       "    color = mix(color, fragColor, colorAmt);\n",
+       "    color.a *= opacity;\n",
+       "\n",
+       "    gl_FragColor = color;\n",
+       "  }\n",
+       "\n",
+       "}\n",
+       "`]),d.vert=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "const float borderLevel = .5;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = 2. * size * pointSizeScale;\n",
+       "  fragPointSize = size * pixelRatio;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "\n",
+       "  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n",
+       "  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n",
+       "}\n",
+       "`]),this.drawMarker=e(d);var v=fw({},h);v.frag=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "uniform float opacity;\n",
+       "\n",
+       "float smoothStep(float edge0, float edge1, float x) {\n",
+       "\tfloat t;\n",
+       "\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n",
+       "\treturn t * t * (3.0 - 2.0 * t);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat radius, alpha = 1.0, delta = fragWidth;\n",
+       "\n",
+       "\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n",
+       "\n",
+       "\tif (radius > 1.0 + delta) {\n",
+       "\t\tdiscard;\n",
+       "\t}\n",
+       "\n",
+       "\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n",
+       "\n",
+       "\tfloat borderRadius = fragBorderRadius;\n",
+       "\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n",
+       "\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n",
+       "\tcolor.a *= alpha * opacity;\n",
+       "\tgl_FragColor = color;\n",
+       "}\n",
+       "`]),v.vert=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = (size + borderSize) * pointSizeScale;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "}\n",
+       "`]),M7e&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}av.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4};av.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};av.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(o,s){e.drawItem(s)});return this};av.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,sOt(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};av.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[fw({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[fw({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),m=0;m<r.length;m++){var b=r[m];v[b]=d?d[b]:1}s.subdata(v)}for(var p=f.length;p--;){var k=oOt(f[p],2),M=k[0],T=k[1];c.push(fw({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:M,count:T-M}))}return c};av.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=mOt(c,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},c=fw({},av.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(yOt(h,c,[{snap:!0,size:function(j,N){return j==null&&(j=av.defaults.size),d+=j&&j.length?1:0,j},borderSize:function(j,N){return j==null&&(j=av.defaults.borderSize),d+=j&&j.length?1:0,j},opacity:parseFloat,color:function(j,N){return j==null&&(j=av.defaults.color),j=e.updateColor(j),v++,j},borderColor:function(j,N){return j==null&&(j=av.defaults.borderColor),j=e.updateColor(j),v++,j},bounds:function(j,N,H){return\"range\"in H||(H.range=null),j},positions:function(j,N,H){var re=N.snap,ae=N.positionBuffer,_e=N.positionFractBuffer,Ee=N.selectionBuffer;if(j.x||j.y)return j.x.length?N.xAttr={buffer:o.buffer(j.x),offset:0,stride:4,count:j.x.length}:N.xAttr={buffer:j.x.buffer,offset:j.x.offset*4||0,stride:(j.x.stride||1)*4,count:j.x.count},j.y.length?N.yAttr={buffer:o.buffer(j.y),offset:0,stride:4,count:j.y.length}:N.yAttr={buffer:j.y.buffer,offset:j.y.offset*4||0,stride:(j.y.stride||1)*4,count:j.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),j;j=_Ot(j,\"float64\");var Ce=N.count=Math.floor(j.length/2),ge=N.bounds=Ce?vOt(j,2):null;if(!H.range&&!N.range&&(delete N.range,H.range=ge),!H.marker&&!N.marker&&(delete N.marker,H.marker=null),re&&(re===!0||Ce>re)?N.tree=gOt(j,{bounds:ge}):re&&re.length&&(N.tree=re),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Se=cz.float32(j);ae({data:Se,usage:\"dynamic\"});var ke=cz.fract32(j,Se);return _e({data:ke,usage:\"dynamic\"}),Ee({data:new Uint8Array(Ce),type:\"uint8\",usage:\"stream\"}),j}},{marker:function(j,N,H){var re=N.activation;if(re.forEach(function(ke){return ke&&ke.destroy&&ke.destroy()}),re.length=0,!j||typeof j[0]==\"number\"){var ae=e.addMarker(j);re[ae]=!0}else{for(var _e=[],Ee=0,Ce=Math.min(j.length,N.count);Ee<Ce;Ee++){var ge=e.addMarker(j[Ee]);_e[ge]||(_e[ge]=new Uint8Array(N.count)),_e[ge][Ee]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Se={data:_e[ie],type:\"uint8\",usage:\"static\"};re[ie]?re[ie](Se):re[ie]=o.buffer(Se),re[ie].data=_e[ie]}}return j},range:function(j,N,H){var re=N.bounds;if(re)return j||(j=re),N.scale=[1/(j[2]-j[0]),1/(j[3]-j[1])],N.translate=[-j[0],-j[1]],N.scaleFract=cz.fract(N.scale),N.translateFract=cz.fract(N.translate),j},viewport:function(j){var N=xOt(j||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var m=h,b=m.count,p=m.size,k=m.borderSize,M=m.sizeBuffer,T=new Uint8Array(b*2);if(p.length||k.length)for(var L=0;L<b;L++)T[L*2]=Math.round((p[L]==null?p:p[L])*255/s),T[L*2+1]=Math.round((k[L]==null?k:k[L])*255/s);M({data:T,usage:\"dynamic\"})}if(v){var x=h,C=x.count,S=x.color,g=x.borderColor,P=x.colorBuffer,E;if(e.tooManyColors){if(S.length||g.length){E=new Uint8Array(C*8);for(var z=0;z<C;z++){var q=S[z];E[z*8]=u[q*4],E[z*8+1]=u[q*4+1],E[z*8+2]=u[q*4+2],E[z*8+3]=u[q*4+3];var V=g[z];E[z*8+4]=u[V*4],E[z*8+5]=u[V*4+1],E[z*8+6]=u[V*4+2],E[z*8+7]=u[V*4+3]}}}else if(S.length||g.length){E=new Uint8Array(C*4+2);for(var G=0;G<C;G++)S[G]!=null&&(E[G*4]=S[G]%l,E[G*4+1]=Math.floor(S[G]/l)),g[G]!=null&&(E[G*4+2]=g[G]%l,E[G*4+3]=Math.floor(g[G]/l))}P({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};av.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};av.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=dOt(u,\"uint8\");var c=pOt(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};av.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};av.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return 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+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
+       "attribute vec4 color;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "vec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n",
+       "\t// the order is important\n",
+       "\treturn position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineOffset = lineTop * 2. - 1.;\n",
+       "\n",
+       "\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n",
+       "\ttangent = normalize(diff * scale * viewport.zw);\n",
+       "\tvec2 normal = vec2(-tangent.y, tangent.x);\n",
+       "\n",
+       "\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n",
+       "\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n",
+       "\n",
+       "\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "}\n",
+       "`,lUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1.;\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`,uUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 position, positionFract;\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float pixelRatio, id;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "const float MAX_LINES = 256.;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n",
+       "\n",
+       "\tvec2 position = position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "\tfragColor.a *= opacity;\n",
+       "}\n",
+       "`,cUt=`\n",
+       "precision highp float;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "\tgl_FragColor = fragColor;\n",
+       "}\n",
+       "`,fUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
+       "attribute vec4 aColor, bColor;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, translate;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float miterLimit, miterMode;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 tangent;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "const float REVERSE_THRESHOLD = -.875;\n",
+       "const float MIN_DIFF = 1e-6;\n",
+       "\n",
+       "// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n",
+       "// TODO: precalculate dot products, normalize things beforehead etc.\n",
+       "// TODO: refactor to rectangular algorithm\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "bool isNaN( float val ){\n",
+       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n",
+       "\n",
+       "  vec2 adjustedScale;\n",
+       "  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n",
+       "  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n",
+       "\n",
+       "  vec2 scaleRatio = adjustedScale * viewport.zw;\n",
+       "\tvec2 normalWidth = thickness / scaleRatio;\n",
+       "\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineBot = 1. - lineTop;\n",
+       "\n",
+       "\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n",
+       "\n",
+       "\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n",
+       "\n",
+       "\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n",
+       "\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n",
+       "\n",
+       "\n",
+       "\tvec2 prevDiff = aCoord - prevCoord;\n",
+       "\tvec2 currDiff = bCoord - aCoord;\n",
+       "\tvec2 nextDiff = nextCoord - bCoord;\n",
+       "\n",
+       "\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n",
+       "\tvec2 currTangent = normalize(currDiff * scaleRatio);\n",
+       "\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n",
+       "\n",
+       "\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n",
+       "\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n",
+       "\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n",
+       "\n",
+       "\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n",
+       "\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n",
+       "\n",
+       "\t// collapsed/unidirectional segment cases\n",
+       "\t// FIXME: there should be more elegant solution\n",
+       "\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n",
+       "\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n",
+       "\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tstartJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tendJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (aCoord == bCoord) {\n",
+       "\t\tendJoinDirection = startJoinDirection;\n",
+       "\t\tcurrNormal = prevNormal;\n",
+       "\t\tcurrTangent = prevTangent;\n",
+       "\t}\n",
+       "\n",
+       "\ttangent = currTangent;\n",
+       "\n",
+       "\t//calculate join shifts relative to normals\n",
+       "\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n",
+       "\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n",
+       "\n",
+       "\tfloat startMiterRatio = abs(1. / startJoinShift);\n",
+       "\tfloat endMiterRatio = abs(1. / endJoinShift);\n",
+       "\n",
+       "\tvec2 startJoin = startJoinDirection * startMiterRatio;\n",
+       "\tvec2 endJoin = endJoinDirection * endMiterRatio;\n",
+       "\n",
+       "\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n",
+       "\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n",
+       "\tstartBotJoin = -startTopJoin;\n",
+       "\n",
+       "\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n",
+       "\tendBotJoin = -endTopJoin;\n",
+       "\n",
+       "\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n",
+       "\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n",
+       "\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n",
+       "\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n",
+       "\n",
+       "\t//miter anti-clipping\n",
+       "\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n",
+       "\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n",
+       "\n",
+       "\t//prevent close to reverse direction switch\n",
+       "\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\n",
+       "\tif (prevReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n",
+       "\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\tbTopCoord -= normalWidth * endTopJoin;\n",
+       "\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tif (nextReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n",
+       "\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\taBotCoord -= normalWidth * startBotJoin;\n",
+       "\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\t//position is normalized 0..1 coord on the screen\n",
+       "\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n",
+       "\n",
+       "\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n",
+       "\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n",
+       "\n",
+       "\t//bevel miter cutoffs\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t//round miter cutoffs\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "}\n",
+       "`,hUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1., distToStart, distToEnd;\n",
+       "\tfloat cutoff = thickness * .5;\n",
+       "\n",
+       "\t//bevel miter\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// round miter\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`;COe.exports=Wc;function Wc(e,t){if(!(this instanceof Wc))return new Wc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=Wc.shaders.has(e)?Wc.shaders.get(e):Wc.shaders.set(e,Wc.createShaders(e)).get(e),this.update(t)}Wc.dashMult=2;Wc.maxPatternLength=256;Wc.precisionThreshold=3e6;Wc.maxPoints=1e4;Wc.maxLines=2048;Wc.shaders=new aUt;Wc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(QY({vert:sUt,frag:lUt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(QY({cull:{enable:!0,face:\"back\"},vert:fUt,frag:hUt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:uUt,frag:cUt,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};Wc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};Wc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};Wc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>Wc.precisionThreshold||t.scale[1]*t.viewport.height>Wc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=Wc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};Wc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=tUt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=QY({},Wc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<Wc.maxLines&&(o.depth=2*(Wc.maxLines-1-a%Wc.maxLines)/Wc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?Mz(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=kOe(i.viewport)),o.viewport||(o.viewport=kOe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,m=i.positions.y;c=o.count=Math.max(v.length,m.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=m[b]}else u=rUt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=eUt(u,2);if(o.fill){let v=[],m={},b=0;for(let p=0,k=0,M=o.count;p<M;p++){let T=u[p*2],L=u[p*2+1];isNaN(T)||isNaN(L)||T==null||L==null?(T=u[b*2],L=u[b*2+1],m[p]=b):b=p,v[k++]=T,v[k++]=L}if(i.splitNull){o.count-1 in m||(m[o.count]=o.count-1);let p=Object.keys(m).map(Number).sort((L,x)=>L-x),k=[],M=0,T=o.hole!=null?o.hole[0]:null;if(T!=null){let L=oUt(p,x=>x>=T);p=p.slice(0,L),p.push(T)}for(let L=0;L<p.length;L++){let x=v.slice(M*2,p[L]*2).concat(T?v.slice(T*2):[]),C=(o.hole||[]).map(g=>g-T+(p[L]-M)),S=EOe(x,C);S=S.map(g=>g+M+(g+M<p[L]?0:T-p[L])),k.push(...S),M=p[L]+1}for(let L=0,x=k.length;L<x;L++)m[k[L]]!=null&&(k[L]=m[k[L]]);o.triangles=k}else{let p=EOe(v,o.hole||[]);for(let k=0,M=p.length;k<M;k++)m[p[k]]!=null&&(p[k]=m[p[k]]);o.triangles=p}}let h=new Float64Array(u);iUt(h,2,f);let d=new Float64Array(c*2+6);o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[0]=h[c*2-4],d[1]=h[c*2-3]):(d[0]=h[c*2-2],d[1]=h[c*2-1]):(d[0]=h[0],d[1]=h[1]),d.set(h,2),o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[c*2+2]=h[2],d[c*2+3]=h[3],o.count-=1):(d[c*2+2]=h[0],d[c*2+3]=h[1],d[c*2+4]=h[2],d[c*2+5]=h[3]):(d[c*2+2]=h[c*2-2],d[c*2+3]=h[c*2-1],d[c*2+4]=h[c*2-2],d[c*2+5]=h[c*2-1]);var s=nUt(d);o.positionBuffer(s);var l=$Y(d,s);o.positionFractBuffer(l)}if(i.range?o.range=i.range:o.range||(o.range=o.bounds),(i.range||i.positions)&&o.count){let u=o.bounds,c=u[2]-u[0],f=u[3]-u[1],h=o.range[2]-o.range[0],d=o.range[3]-o.range[1];o.scale=[c/h,f/d],o.translate=[-o.range[0]/h+u[0]/h||0,-o.range[1]/d+u[1]/d||0],o.scaleFract=$Y(o.scale),o.translateFract=$Y(o.translate)}if(i.dashes){let u=0,c;if(!i.dashes||i.dashes.length<2)u=1,c=new Uint8Array([255,255,255,255,255,255,255,255]);else{u=0;for(let d=0;d<i.dashes.length;++d)u+=i.dashes[d];c=new Uint8Array(u*Wc.dashMult);let f=0,h=255;for(let d=0;d<2;d++)for(let v=0;v<i.dashes.length;++v){for(let m=0,b=i.dashes[v]*Wc.dashMult*.5;m<b;++m)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=Mz(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=Mz(c[h],\"uint8\");f.set(d,h*4)}f.set(Mz(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};Wc.prototype.destroy=function(){return this.passes.forEach(e=>{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var DOe=ye((C_r,ROe)=>{\"use strict\";var dUt=ow(),vUt=lx(),pUt=bY(),gUt=ry(),LOe=Nh(),POe=sw(),{float32:mUt,fract32:tK}=lz();ROe.exports=yUt;var IOe=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]];function yUt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:IOe}),v(t),n=e({vert:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tattribute vec2 position, positionFract;\n",
+       "\t\tattribute vec4 error;\n",
+       "\t\tattribute vec4 color;\n",
+       "\n",
+       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
+       "\n",
+       "\t\tuniform vec4 viewport;\n",
+       "\t\tuniform float lineWidth, capSize;\n",
+       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tfragColor = color / 255.;\n",
+       "\n",
+       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
+       "\n",
+       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
+       "\n",
+       "\t\t\tvec2 position = position + dxy;\n",
+       "\n",
+       "\t\t\tvec2 pos = (position + translate) * scale\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
+       "\t\t\t\t+ (position + translate) * scaleFract\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "\t\t\tpos += pixelOffset / viewport.zw;\n",
+       "\n",
+       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
+       "\t\t}\n",
+       "\t\t`,frag:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tuniform float opacity;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tgl_FragColor = fragColor;\n",
+       "\t\t\tgl_FragColor.a *= opacity;\n",
+       "\t\t}\n",
+       "\t\t`,uniforms:{range:e.prop(\"range\"),lineWidth:e.prop(\"lineWidth\"),capSize:e.prop(\"capSize\"),opacity:e.prop(\"opacity\"),scale:e.prop(\"scale\"),translate:e.prop(\"translate\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),viewport:(b,p)=>[p.viewport.x,p.viewport.y,b.viewportWidth,b.viewportHeight]},attributes:{color:{buffer:o,offset:(b,p)=>p.offset*4,divisor:1},position:{buffer:i,offset:(b,p)=>p.offset*8,divisor:1},positionFract:{buffer:a,offset:(b,p)=>p.offset*8,divisor:1},error:{buffer:s,offset:(b,p)=>p.offset*16,divisor:1},direction:{buffer:l,stride:24,offset:0},lineOffset:{buffer:l,stride:24,offset:8},capOffset:{buffer:l,stride:24,offset:16}},primitive:\"triangles\",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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S||(S=E),g.scale=[1/(S[2]-S[0]),1/(S[3]-S[1])],g.translate=[-S[0],-S[1]],g.scaleFract=tK(g.scale),g.translateFract=tK(g.translate),S},viewport:S=>{let g;return Array.isArray(S)?g={x:S[0],y:S[1],width:S[2]-S[0],height:S[3]-S[1]}:S?(g={x:S.x||S.left||0,y:S.y||S.top||0},S.right?g.width=S.right-g.x:g.width=S.w||S.width||0,S.bottom?g.height=S.bottom-g.y:g.height=S.h||S.height||0):g={x:0,y:0,width:r.drawingBufferWidth,height:r.drawingBufferHeight},g}}]),C}),p||k){let L=c.reduce((g,P,E)=>g+(P?P.count:0),0),x=new Float64Array(L*2),C=new Uint8Array(L*4),S=new Float32Array(L*4);c.forEach((g,P)=>{if(!g)return;let{positions:E,count:z,offset:q,color:V,errors:G}=g;z&&(C.set(V,q*4),S.set(G,q*4),x.set(E,q*2))});var M=mUt(x);i(M);var T=tK(x,M);a(T),o(C),s(S)}}function m(){i.destroy(),a.destroy(),o.destroy(),s.destroy(),l.destroy()}}});var qOe=ye((L_r,zOe)=>{var FOe=/[\\'\\\"]/;zOe.exports=function(t){return 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HOe=ye((q_r,GOe)=>{\"use strict\";var VOe=UOe();GOe.exports=function(t,r,n){if(t==null)throw Error(\"First argument should be a string\");if(r==null)throw Error(\"Separator should be a string or a RegExp\");n?(typeof n==\"string\"||Array.isArray(n))&&(n={ignore:n}):n={},n.escape==null&&(n.escape=!0),n.ignore==null?n.ignore=[\"[]\",\"()\",\"{}\",\"<>\",'\"\"',\"''\",\"``\",\"\\u201C\\u201D\",\"\\xAB\\xBB\"]:(typeof n.ignore==\"string\"&&(n.ignore=[n.ignore]),n.ignore=n.ignore.map(function(f){return f.length===1&&(f=f+f),f}));var i=VOe.parse(t,{flat:!0,brackets:n.ignore}),a=i[0],o=a.split(r);if(n.escape){for(var s=[],l=0;l<o.length;l++){var u=o[l],c=o[l+1];u[u.length-1]===\"\\\\\"&&u[u.length-2]!==\"\\\\\"?(s.push(u+r+c),l++):s.push(u)}o=s}for(var l=0;l<o.length;l++)i[0]=o[l],o[l]=VOe.stringify(i,{flat:!0});return o}});var jOe=ye((O_r,AUt)=>{AUt.exports=[\"xx-small\",\"x-small\",\"small\",\"medium\",\"large\",\"x-large\",\"xx-large\",\"larger\",\"smaller\"]});var lK=ye((B_r,WOe)=>{\"use 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si(Ut,Oe),Ut.width=0,Ut.height=0,Bi(Ut,Nt),Ut.width=Ut.width||(Oe.width>>Ft)-It,Ut.height=Ut.height||(Oe.height>>Ft)-Bt,al(Oe),Nn(Ut,_n,It,Bt,Ft),io(),Cn(Ut),ht}function cr(Nt,Ne){var $e=Nt|0,st=Ne|0||$e;if($e===Oe.width&&st===Oe.height)return ht;ht.width=Oe.width=$e,ht.height=Oe.height=st,al(Oe);for(var It=0;Oe.mipmask>>It;++It){var Bt=$e>>It,Ft=st>>It;if(!Bt||!Ft)break;Me.texImage2D(_n,It,Oe.format,Bt,Ft,0,Oe.format,Oe.type,null)}return io(),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,$e,st,!1,!1)),ht}return ht(ne,we),ht.subimage=Yt,ht.resize=cr,ht._reglType=\"texture2d\",ht._texture=Oe,Nr.profile&&(ht.stats=Oe.stats),ht.destroy=function(){Oe.decRef()},ht}function J(ne,we,Oe,ht,Yt,cr){var Nt=new wa(ya);ss[Nt.id]=Nt,Or.cubeCount++;var Ne=new Array(6);function $e(Bt,Ft,Ut,zt,_t,Dt){var vt,lr=Nt.texInfo;for(zo.call(lr),vt=0;vt<6;++vt)Ne[vt]=Ga();if(typeof Bt==\"number\"||!Bt){var _r=Bt|0||1;for(vt=0;vt<6;++vt)sa(Ne[vt],_r,_r)}else if(typeof 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It(Bt){var Ft=Bt|0;if(Ft!==Nt.width){$e.width=Nt.width=Ft,$e.height=Nt.height=Ft,al(Nt);for(var Ut=0;Ut<6;++Ut)for(var zt=0;Nt.mipmask>>zt;++zt)Me.texImage2D(ea+Ut,zt,Nt.format,Ft>>zt,Ft>>zt,0,Nt.format,Nt.type,null);return io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,!1,!0)),$e}}return $e(ne,we,Oe,ht,Yt,cr),$e.subimage=st,$e.resize=It,$e._reglType=\"textureCube\",$e._texture=Nt,Nr.profile&&($e.stats=Nt.stats),$e.destroy=function(){Nt.decRef()},$e}function O(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;gt(ss).forEach(Y),Or.cubeCount=0,Or.textureCount=0}Nr.profile&&(Or.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}gt(ss).forEach(function(Oe){Oe.texture=Me.createTexture(),Me.bindTexture(Oe.target,Oe.texture);for(var ht=0;ht<32;++ht)if((Oe.mipmask&1<<ht)!==0)if(Oe.target===_n)Me.texImage2D(_n,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);else for(var Yt=0;Yt<6;++Yt)Me.texImage2D(ea+Yt,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);nl(Oe.texInfo,Oe.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:O,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,gs=36194,Wf=33189,Wh=36168,rh=34041,lf=35907,Sh=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[Wf]=2,js[Wh]=1,js[rh]=4,js[lf]=4,js[Sh]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,Ot){return js[Me]*bt*Ot}var Dc=function(Me,bt,Ot,Lr,Vr){var Or={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:Wf,stencil:Wh,\"depth 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Qi(){gt(Ni).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Bl,Wi.renderbuffer),Me.renderbufferStorage(Bl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Bl,null)}return{create:Vn,clear:function(){gt(Ni).forEach(Si)},restore:Qi}},ks=36160,bc=36161,hu=3553,_u=34069,il=36064,nh=36096,Mh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,qu=6408,bf=[];bf[qu]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function uf(Me,bt,Ot,Lr,Vr,Or){var Nr={cur:null,next:null,dirty:!1,setFBO:null},vi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ni.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Si(Ui,Bi,pn){this.target=Ui,this.texture=Bi,this.renderbuffer=pn;var Nn=0,aa=0;Bi?(Nn=Bi.width,aa=Bi.height):pn&&(Nn=pn.width,aa=pn.height),this.width=Nn,this.height=aa}function Vn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,pn){if(Ui)if(Ui.texture){var Nn=Ui.texture._texture,aa=Math.max(1,Nn.width),Ki=Math.max(1,Nn.height);Nn.refCount+=1}else{var Cn=Ui.renderbuffer._renderbuffer;Cn.refCount+=1}}function Wi(Ui,Bi){Bi&&(Bi.texture?Me.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function oi(Ui){var Bi=hu,pn=null,Nn=null,aa=Ui;typeof Ui==\"object\"&&(aa=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Ki=aa._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=aa:Ki===\"renderbuffer\"&&(Nn=aa,Bi=bc),new Si(Bi,pn,Nn)}function Tr(Ui,Bi,pn,Nn,aa){if(pn){var Ki=Lr.create2D({width:Ui,height:Bi,format:Nn,type:aa});return Ki._texture.refCount=0,new Si(hu,Ki,null)}else{var Cn=Vr.create({width:Ui,height:Bi,format:Nn});return Cn._renderbuffer.refCount=0,new Si(bc,null,Cn)}}function Zr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function yi(Ui,Bi,pn){Ui&&(Ui.texture?Ui.texture.resize(Bi,pn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,pn),Ui.width=Bi,Ui.height=pn)}var Ii=0,ui={};function nn(){this.id=Ii++,ui[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Ui){Ui.colorAttachments.forEach(Vn),Vn(Ui.depthAttachment),Vn(Ui.stencilAttachment),Vn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Me.deleteFramebuffer(Bi),Ui.framebuffer=null,Or.framebufferCount--,delete ui[Ui.id]}function fi(Ui){var Bi;Me.bindFramebuffer(ks,Ui.framebuffer);var pn=Ui.colorAttachments;for(Bi=0;Bi<pn.length;++Bi)Wi(il+Bi,pn[Bi]);for(Bi=pn.length;Bi<Ot.maxColorAttachments;++Bi)Me.framebufferTexture2D(ks,il+Bi,hu,null,0);Me.framebufferTexture2D(ks,zu,hu,null,0),Me.framebufferTexture2D(ks,nh,hu,null,0),Me.framebufferTexture2D(ks,Mh,hu,null,0),Wi(nh,Ui.depthAttachment),Wi(Mh,Ui.stencilAttachment),Wi(zu,Ui.depthStencilAttachment);var Nn=Me.checkFramebufferStatus(ks);Me.isContextLost(),Me.bindFramebuffer(ks,Nr.next?Nr.next.framebuffer:null),Nr.cur=Nr.next,Me.getError()}function si(Ui,Bi){var pn=new nn;Or.framebufferCount++;function Nn(Ki,Cn){var ia,sa=0,ba=0,is=!0,Zs=!0,Ga=null,El=!0,zo=\"rgba\",Qs=\"uint8\",nl=1,Ul=null,ss=null,Vs=null,Ys=!1;if(typeof Ki==\"number\")sa=Ki|0,ba=Cn|0||sa;else if(!Ki)sa=ba=1;else{var wa=Ki;if(\"shape\"in wa){var al=wa.shape;sa=al[0],ba=al[1]}else\"radius\"in wa&&(sa=ba=wa.radius),\"width\"in wa&&(sa=wa.width),\"height\"in wa&&(ba=wa.height);(\"color\"in wa||\"colors\"in wa)&&(Ga=wa.color||wa.colors,Array.isArray(Ga)),Ga||(\"colorCount\"in wa&&(nl=wa.colorCount|0),\"colorTexture\"in wa&&(El=!!wa.colorTexture,zo=\"rgba4\"),\"colorType\"in wa&&(Qs=wa.colorType,El||(Qs===\"half float\"||Qs===\"float16\"?zo=\"rgba16f\":(Qs===\"float\"||Qs===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in wa&&(zo=wa.colorFormat,vi.indexOf(zo)>=0?El=!0:Ni.indexOf(zo)>=0&&(El=!1))),(\"depthTexture\"in wa||\"depthStencilTexture\"in wa)&&(Ys=!!(wa.depthTexture||wa.depthStencilTexture)),\"depth\"in wa&&(typeof wa.depth==\"boolean\"?is=wa.depth:(Ul=wa.depth,Zs=!1)),\"stencil\"in wa&&(typeof wa.stencil==\"boolean\"?Zs=wa.stencil:(ss=wa.stencil,is=!1)),\"depthStencil\"in wa&&(typeof wa.depthStencil==\"boolean\"?is=Zs=wa.depthStencil:(Vs=wa.depthStencil,is=!1,Zs=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Ga))io=Ga.map(oi);else if(Ga)io=[oi(Ga)];else for(io=new Array(nl),ia=0;ia<nl;++ia)io[ia]=Tr(sa,ba,El,zo,Qs);sa=sa||io[0].width,ba=ba||io[0].height,Ul?Y=oi(Ul):is&&!Zs&&(Y=Tr(sa,ba,Ys,\"depth\",\"uint32\")),ss?D=oi(ss):Zs&&!is&&(D=Tr(sa,ba,!1,\"stencil\",\"uint8\")),Vs?J=oi(Vs):!Ul&&!ss&&Zs&&is&&(J=Tr(sa,ba,Ys,\"depth stencil\",\"depth stencil\"));var O=null;for(ia=0;ia<io.length;++ia)if(Qi(io[ia],sa,ba),io[ia]&&io[ia].texture){var K=bf[io[ia].texture._texture.format]*jl[io[ia].texture._texture.type];O===null&&(O=K)}return Qi(Y,sa,ba),Qi(D,sa,ba),Qi(J,sa,ba),Zi(pn),pn.width=sa,pn.height=ba,pn.colorAttachments=io,pn.depthAttachment=Y,pn.stencilAttachment=D,pn.depthStencilAttachment=J,Nn.color=io.map(Zr),Nn.depth=Zr(Y),Nn.stencil=Zr(D),Nn.depthStencil=Zr(J),Nn.width=pn.width,Nn.height=pn.height,fi(pn),Nn}function aa(Ki,Cn){var ia=Math.max(Ki|0,1),sa=Math.max(Cn|0||ia,1);if(ia===pn.width&&sa===pn.height)return Nn;for(var ba=pn.colorAttachments,is=0;is<ba.length;++is)yi(ba[is],ia,sa);return yi(pn.depthAttachment,ia,sa),yi(pn.stencilAttachment,ia,sa),yi(pn.depthStencilAttachment,ia,sa),pn.width=Nn.width=ia,pn.height=Nn.height=sa,fi(pn),Nn}return Nn(Ui,Bi),e(Nn,{resize:aa,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){qn(pn),Zi(pn)},use:function(Ki){Nr.setFBO({framebuffer:Nn},Ki)}})}function mn(Ui){var Bi=Array(6);function pn(aa){var Ki,Cn={color:null},ia=0,sa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof aa==\"number\")ia=aa|0;else if(!aa)ia=1;else{var Ga=aa;if(\"shape\"in Ga){var El=Ga.shape;ia=El[0]}else\"radius\"in Ga&&(ia=Ga.radius|0),\"width\"in Ga?(ia=Ga.width|0,\"height\"in Ga):\"height\"in Ga&&(ia=Ga.height|0);(\"color\"in Ga||\"colors\"in Ga)&&(sa=Ga.color||Ga.colors,Array.isArray(sa)),sa||(\"colorCount\"in Ga&&(Zs=Ga.colorCount|0),\"colorType\"in Ga&&(is=Ga.colorType),\"colorFormat\"in Ga&&(ba=Ga.colorFormat)),\"depth\"in Ga&&(Cn.depth=Ga.depth),\"stencil\"in Ga&&(Cn.stencil=Ga.stencil),\"depthStencil\"in Ga&&(Cn.depthStencil=Ga.depthStencil)}var zo;if(sa)if(Array.isArray(sa))for(zo=[],Ki=0;Ki<sa.length;++Ki)zo[Ki]=sa[Ki];else zo=[sa];else{zo=Array(Zs);var Qs={radius:ia,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Lr.createCube(Qs)}for(Cn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var nl=zo[Ki];ia=ia||nl.width,Cn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Ul=0;Ul<zo.length;++Ul)Cn.color[Ul].target=_u+Ki;Ki>0&&(Cn.depth=Bi[0].depth,Cn.stencil=Bi[0].stencil,Cn.depthStencil=Bi[0].depthStencil),Bi[Ki]?Bi[Ki](Cn):Bi[Ki]=si(Cn)}return e(pn,{width:ia,height:ia,color:zo})}function Nn(aa){var Ki,Cn=aa|0;if(Cn===pn.width)return pn;var ia=pn.color;for(Ki=0;Ki<ia.length;++Ki)ia[Ki].resize(Cn);for(Ki=0;Ki<6;++Ki)Bi[Ki].resize(Cn);return pn.width=pn.height=Cn,pn}return pn(Ui),e(pn,{faces:Bi,resize:Nn,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(aa){aa.destroy()})}})}function Ji(){Nr.cur=null,Nr.next=null,Nr.dirty=!0,gt(ui).forEach(function(Ui){Ui.framebuffer=Me.createFramebuffer(),fi(Ui)})}return e(Nr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:si,createCube:mn,clear:function(){gt(ui).forEach(qn)},restore:Ji})}var Xh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Xh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,Ot,Lr,Vr,Or,Nr){for(var vi=Ot.maxAttributes,Ni=new Array(vi),qi=0;qi<vi;++qi)Ni[qi]=new du;var Si=0,Vn={},Qi={Record:du,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:oi()?Zi:function(){},createVAO:qn,getVAO:Zr,destroyBuffer:Wi,setVAO:oi()?yi:Ii,clear:oi()?ui:function(){}};function Wi(fi){for(var si=0;si<Ni.length;++si){var mn=Ni[si];mn.buffer===fi&&(Me.disableVertexAttribArray(si),mn.buffer=null)}}function oi(){return bt.oes_vertex_array_object}function Tr(){return bt.angle_instanced_arrays}function Zr(fi){return typeof fi==\"function\"&&fi._vao?fi._vao:null}function yi(fi){if(fi!==Qi.currentVAO){var si=oi();fi?si.bindVertexArrayOES(fi.vao):si.bindVertexArrayOES(null),Qi.currentVAO=fi}}function Ii(fi){if(fi!==Qi.currentVAO){if(fi)fi.bindAttrs();else{for(var si=Tr(),mn=0;mn<Ni.length;++mn){var Ji=Ni[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),si&&Ji.divisor&&si.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Nr.elements?Me.bindBuffer(Cs,Nr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}Qi.currentVAO=fi}}function ui(){gt(Vn).forEach(function(fi){fi.destroy()})}function nn(){this.id=++Si,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var fi=oi();fi?this.vao=fi.createVertexArrayOES():this.vao=null,Vn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var fi=Tr(),si=this.attributes,mn=0;mn<si.length;++mn){var Ji=si[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),fi&&Ji.divisor&&fi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Ui=si.length;Ui<vi;++Ui)Me.disableVertexAttribArray(Ui);var Bi=Or.getElements(this.elements);Bi?Me.bindBuffer(Cs,Bi.buffer.buffer):Me.bindBuffer(Cs,null)},nn.prototype.refresh=function(){var fi=oi();fi&&(fi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,fi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var fi=oi();this===Qi.currentVAO&&(Qi.currentVAO=null,fi.bindVertexArrayOES(null)),fi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Vn[this.id]&&(delete Vn[this.id],Lr.vaoCount-=1)};function Zi(){var fi=oi();fi&&gt(Vn).forEach(function(si){si.refresh()})}function qn(fi){var si=new nn;Lr.vaoCount+=1;function mn(Ji){var Ui;if(Array.isArray(Ji))Ui=Ji,si.elements&&si.ownsElements&&si.elements.destroy(),si.elements=null,si.ownsElements=!1,si.offset=0,si.count=0,si.instances=-1,si.primitive=4;else{if(Ji.elements){var Bi=Ji.elements;si.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(si.elements.destroy(),si.ownsElements=!1):(si.elements(Bi),si.ownsElements=!1):Or.getElements(Ji.elements)?(si.elements=Ji.elements,si.ownsElements=!1):(si.elements=Or.create(Ji.elements),si.ownsElements=!0)}else 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Wu(Me,bt,Ot,Lr){var Vr={},Or={};function Nr(Tr,Zr,yi,Ii){this.name=Tr,this.id=Zr,this.location=yi,this.info=Ii}function vi(Tr,Zr){for(var yi=0;yi<Tr.length;++yi)if(Tr[yi].id===Zr.id){Tr[yi].location=Zr.location;return}Tr.push(Zr)}function Ni(Tr,Zr,yi){var Ii=Tr===Xf?Vr:Or,ui=Ii[Zr];if(!ui){var nn=bt.str(Zr);ui=Me.createShader(Tr),Me.shaderSource(ui,nn),Me.compileShader(ui),Ii[Zr]=ui}return ui}var qi={},Si=[],Vn=0;function Qi(Tr,Zr){this.id=Vn++,this.fragId=Tr,this.vertId=Zr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Lr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Tr,Zr,yi){var Ii,ui,nn=Ni(Xf,Tr.fragId),Zi=Ni(Us,Tr.vertId),qn=Tr.program=Me.createProgram();if(Me.attachShader(qn,nn),Me.attachShader(qn,Zi),yi)for(Ii=0;Ii<yi.length;++Ii){var fi=yi[Ii];Me.bindAttribLocation(qn,fi[0],fi[1])}Me.linkProgram(qn);var si=Me.getProgramParameter(qn,wf);Lr.profile&&(Tr.stats.uniformsCount=si);var mn=Tr.uniforms;for(Ii=0;Ii<si;++Ii)if(ui=Me.getActiveUniform(qn,Ii),ui)if(ui.size>1)for(var Ji=0;Ji<ui.size;++Ji){var Ui=ui.name.replace(\"[0]\",\"[\"+Ji+\"]\");vi(mn,new Nr(Ui,bt.id(Ui),Me.getUniformLocation(qn,Ui),ui))}else vi(mn,new Nr(ui.name,bt.id(ui.name),Me.getUniformLocation(qn,ui.name),ui));var Bi=Me.getProgramParameter(qn,zc);Lr.profile&&(Tr.stats.attributesCount=Bi);var pn=Tr.attributes;for(Ii=0;Ii<Bi;++Ii)ui=Me.getActiveAttrib(qn,Ii),ui&&vi(pn,new Nr(ui.name,bt.id(ui.name),Me.getAttribLocation(qn,ui.name),ui))}Lr.profile&&(Ot.getMaxUniformsCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.uniformsCount>Tr&&(Tr=Zr.stats.uniformsCount)}),Tr},Ot.getMaxAttributesCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.attributesCount>Tr&&(Tr=Zr.stats.attributesCount)}),Tr});function oi(){Vr={},Or={};for(var Tr=0;Tr<Si.length;++Tr)Wi(Si[Tr],null,Si[Tr].attributes.map(function(Zr){return[Zr.location,Zr.name]}))}return{clear:function(){var Tr=Me.deleteShader.bind(Me);gt(Vr).forEach(Tr),Vr={},gt(Or).forEach(Tr),Or={},Si.forEach(function(Zr){Me.deleteProgram(Zr.program)}),Si.length=0,qi={},Ot.shaderCount=0},program:function(Tr,Zr,yi,Ii){var ui=qi[Zr];ui||(ui=qi[Zr]={});var nn=ui[Tr];if(nn&&(nn.refCount++,!Ii))return nn;var Zi=new Qi(Zr,Tr);return Ot.shaderCount++,Wi(Zi,yi,Ii),nn||(ui[Tr]=Zi),Si.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var qn=Si.indexOf(Zi);Si.splice(qn,1),Ot.shaderCount--}ui[Zi.vertId].refCount<=0&&(Me.deleteShader(Or[Zi.vertId]),delete Or[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(Vr[Zi.fragId]),delete Vr[Zi.fragId],delete qi[Zi.fragId])}})},restore:oi,shader:Ni,frag:-1,vert:-1}}var Rf=6408,Xu=5121,cf=3333,Zf=5126;function Wl(Me,bt,Ot,Lr,Vr,Or,Nr){function vi(Si){var Vn;bt.next===null?Vn=Xu:Vn=bt.next.colorAttachments[0].texture._texture.type;var 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bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",Ot=\"\",Lr,Vr=0;Vr<Me.length;Vr++)Lr=Me.charCodeAt(Vr),Ot+=bt.charAt(Lr>>>4&15)+bt.charAt(Lr&15);return Ot}function Oc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Ot=\"\",Lr=Me.length,Vr=0;Vr<Lr;Vr+=3)for(var Or=Me.charCodeAt(Vr)<<16|(Vr+1<Lr?Me.charCodeAt(Vr+1)<<8:0)|(Vr+2<Lr?Me.charCodeAt(Vr+2):0),Nr=0;Nr<4;Nr++)Vr*8+Nr*6>Me.length*8?Ot+=Zu:Ot+=bt.charAt(Or>>>6*(3-Nr)&63);return Ot}function ff(Me,bt){var Ot=bt.length,Lr=Array(),Vr,Or,Nr,vi,Ni=Array(Math.ceil(Me.length/2));for(Vr=0;Vr<Ni.length;Vr++)Ni[Vr]=Me.charCodeAt(Vr*2)<<8|Me.charCodeAt(Vr*2+1);for(;Ni.length>0;){for(vi=Array(),Nr=0,Vr=0;Vr<Ni.length;Vr++)Nr=(Nr<<16)+Ni[Vr],Or=Math.floor(Nr/Ot),Nr-=Or*Ot,(vi.length>0||Or>0)&&(vi[vi.length]=Or);Lr[Lr.length]=Nr,Ni=vi}var qi=\"\";for(Vr=Lr.length-1;Vr>=0;Vr--)qi+=bt.charAt(Lr[Vr]);var Si=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(Vr=qi.length;Vr<Si;Vr++)qi=bt[0]+qi;return qi}function fc(Me){for(var bt=\"\",Ot=-1,Lr,Vr;++Ot<Me.length;)Lr=Me.charCodeAt(Ot),Vr=Ot+1<Me.length?Me.charCodeAt(Ot+1):0,55296<=Lr&&Lr<=56319&&56320<=Vr&&Vr<=57343&&(Lr=65536+((Lr&1023)<<10)+(Vr&1023),Ot++),Lr<=127?bt+=String.fromCharCode(Lr):Lr<=2047?bt+=String.fromCharCode(192|Lr>>>6&31,128|Lr&63):Lr<=65535?bt+=String.fromCharCode(224|Lr>>>12&15,128|Lr>>>6&63,128|Lr&63):Lr<=2097151&&(bt+=String.fromCharCode(240|Lr>>>18&7,128|Lr>>>12&63,128|Lr>>>6&63,128|Lr&63));return bt}function Bc(Me){for(var bt=Array(Me.length>>2),Ot=0;Ot<bt.length;Ot++)bt[Ot]=0;for(var Ot=0;Ot<Me.length*8;Ot+=8)bt[Ot>>5]|=(Me.charCodeAt(Ot/8)&255)<<24-Ot%32;return bt}function kt(Me){for(var bt=\"\",Ot=0;Ot<Me.length*32;Ot+=8)bt+=String.fromCharCode(Me[Ot>>5]>>>24-Ot%32&255);return bt}function Zt(Me,bt){return Me>>>bt|Me<<32-bt}function Er(Me,bt){return Me>>>bt}function xr(Me,bt,Ot){return Me&bt^~Me&Ot}function Kr(Me,bt,Ot){return Me&bt^Me&Ot^bt&Ot}function Mi(Me){return Zt(Me,2)^Zt(Me,13)^Zt(Me,22)}function 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lr.def(ci+\")\")}),{frag:Ut,vert:zt,progVar:Dt,program:_t}}function Ga(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={},Ft=!1;function Ut(){if(ve in st){var tn=st[ve];return tn!==null&&qi.getVAO(tn)===null&&(tn=qi.createVAO(tn)),Ft=!0,Bt.vao=tn,kn(function(Oi){var Gi=qi.getVAO(tn);return Gi?Oi.link(Gi):\"null\"})}else if(ve in It){Ft=!0;var Ei=It[ve];return Bn(Ei,function(Oi,Gi){var on=Oi.invoke(Gi,Ei);return Gi.def(Oi.shared.vao+\".getVAO(\"+on+\")\")})}return null}var zt=Ut(),_t=!1;function Dt(){if(Mt in st){var tn=st[Mt];if(Bt.elements=tn,Li(tn)){var Ei=Bt.elements=Or.create(tn,!0);tn=Or.getElements(Ei),_t=!0}else tn&&(tn=Or.getElements(tn),_t=!0);var Oi=kn(function(on,zn){if(tn){var Ja=on.link(tn);return on.ELEMENTS=Ja,Ja}return on.ELEMENTS=null,null});return Oi.value=tn,Oi}else if(Mt in It){_t=!0;var Gi=It[Mt];return Bn(Gi,function(on,zn){var Ja=on.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=on.invoke(zn,Gi),Yo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=on.cond(ms).then(Yo,\"=\",ts,\".createStream(\",so,\");\").else(Yo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(on.cond(ms).then(ts,\".destroyStream(\",Yo,\");\")),on.ELEMENTS=Yo,Yo})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var vt=Dt();function lr(){if(Jt in st){var tn=st[Jt];return Bt.primitive=tn,kn(function(Oi,Gi){return Mn[tn]})}else if(Jt in It){var Ei=It[Jt];return Bn(Ei,function(Oi,Gi){var on=Oi.constants.primTypes,zn=Oi.invoke(Gi,Ei);return Gi.def(on,\"[\",zn,\"]\")})}else{if(_t)return Pn(vt)?vt.value?kn(function(Oi,Gi){return Gi.def(Oi.ELEMENTS,\".primType\")}):kn(function(){return Sl}):new Qr(vt.thisDep,vt.contextDep,vt.propDep,function(Oi,Gi){var on=Oi.ELEMENTS;return Gi.def(on,\"?\",on,\".primType:\",Sl)});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(Oi,Gi){return Gi.def(Oi.shared.vao+\".currentVAO?\"+Oi.shared.vao+\".currentVAO.primitive:\"+Sl)})}return null}function _r(tn,Ei){if(tn in st){var Oi=st[tn]|0;return Ei?Bt.offset=Oi:Bt.instances=Oi,kn(function(on,zn){return Ei&&(on.OFFSET=Oi),Oi})}else if(tn in It){var Gi=It[tn];return Bn(Gi,function(on,zn){var Ja=on.invoke(zn,Gi);return Ei&&(on.OFFSET=Ja),Ja})}else if(Ei){if(_t)return kn(function(on,zn){return on.OFFSET=0,0});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Br=_r(yr,!0);function Di(){if($t in st){var tn=st[$t]|0;return Bt.count=tn,kn(function(){return tn})}else if($t in It){var Ei=It[$t];return Bn(Ei,function(zn,Ja){var co=zn.invoke(Ja,Ei);return co})}else if(_t)if(Pn(vt)){if(vt)return Br?new Qr(Br.thisDep,Br.contextDep,Br.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):kn(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Oi=kn(function(){return-1});return Oi}else{var Gi=new Qr(vt.thisDep||Br.thisDep,vt.contextDep||Br.contextDep,vt.propDep||Br.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Ft){var on=new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return on}return null}var ci=lr(),bi=Di(),gn=_r(Cr,!1);return{elements:vt,primitive:ci,count:bi,instances:gn,offset:Br,vao:zt,vaoActive:Ft,elementsActive:_t,static:Bt}}function El(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return fi.forEach(function(Ft){var Ut=Ji(Ft);function zt(_t,Dt){if(Ft in st){var vt=_t(st[Ft]);Bt[Ut]=kn(function(){return vt})}else if(Ft in It){var lr=It[Ft];Bt[Ut]=Bn(lr,function(_r,Br){return Dt(_r,Br,_r.invoke(Br,lr))})}}switch(Ft){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Va:case rs:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case no:return zt(function(_t){return Wr[_t]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs;return Dt.def(lr,\"[\",vt,\"]\")});case ys:return zt(function(_t){return _t},function(_t,Dt,vt){var lr=Dt.def(\"+\",vt,\"[0]\"),_r=Dt.def(\"+\",vt,\"[1]\");return[lr,_r]});case Ls:return zt(function(_t){var Dt=\"srcRGB\"in _t?_t.srcRGB:_t.src,vt=\"srcAlpha\"in _t?_t.srcAlpha:_t.src,lr=\"dstRGB\"in _t?_t.dstRGB:_t.dst,_r=\"dstAlpha\"in _t?_t.dstAlpha:_t.dst;return[xi[Dt],xi[lr],xi[vt],xi[_r]]},function(_t,Dt,vt){var lr=_t.constants.blendFuncs;function _r(Ei,Oi){var 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Dt=_t.cmp||\"keep\",vt=_t.ref||0,lr=\"mask\"in _t?_t.mask:-1;return[Wr[Dt],vt,lr]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs,_r=Dt.def('\"cmp\" in ',vt,\"?\",lr,\"[\",vt,\".cmp]\",\":\",ot),Br=Dt.def(vt,\".ref|0\"),Di=Dt.def('\"mask\" in ',vt,\"?\",vt,\".mask|0:-1\");return[_r,Br,Di]});case ue:case w:return zt(function(_t){var Dt=_t.fail||\"keep\",vt=_t.zfail||\"keep\",lr=_t.zpass||\"keep\";return[Ft===w?se:X,ii[Dt],ii[vt],ii[lr]]},function(_t,Dt,vt){var lr=_t.constants.stencilOps;function _r(Br){return Dt.def('\"',Br,'\" in ',vt,\"?\",lr,\"[\",vt,\".\",Br,\"]:\",ot)}return[Ft===w?se:X,_r(\"fail\"),_r(\"zfail\"),_r(\"zpass\")]});case xu:return zt(function(_t){var Dt=_t.factor|0,vt=_t.units|0;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def(vt,\".factor|0\"),_r=Dt.def(vt,\".units|0\");return[lr,_r]});case Yu:return zt(function(_t){var Dt=0;return _t===\"front\"?Dt=X:_t===\"back\"&&(Dt=se),Dt},function(_t,Dt,vt){return Dt.def(vt,'===\"front\"?',X,\":\",se)});case pu:return 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Iz,xc=function(t){yVt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=oVt(t),this.shader=UBe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||aVt({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),UBe.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(cVt(t)?t:{})};xc.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(i,a){return[a.atlas.width,a.atlas.height]},atlasDim:function(i,a){return[a.atlas.cols,a.atlas.rows]},atlas:function(i,a){return a.atlas.texture},charStep:function(i,a){return a.atlas.step},em:function(i,a){return a.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tattribute float width, charOffset, char;\n",
+       "\t\t\tattribute vec2 position;\n",
+       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform vec4 color;\n",
+       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n",
+       "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n",
+       "\t\t\t\t\t/ (viewport.zw * scale.xy);\n",
+       "\n",
+       "\t\t\t\tvec2 position = (position + translate) * scale;\n",
+       "\t\t\t\tposition += offset * scale;\n",
+       "\n",
+       "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n",
+       "\n",
+       "\t\t\t\tgl_PointSize = charStep;\n",
+       "\n",
+       "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n",
+       "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n",
+       "\n",
+       "\t\t\t\tcharWidth = width * em;\n",
+       "\n",
+       "\t\t\t\tfontColor = color / 255.;\n",
+       "\t\t\t}`,frag:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tuniform float fontSize, charStep, opacity;\n",
+       "\t\t\tuniform vec2 atlasSize;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform sampler2D atlas;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\n",
+       "\t\t\tfloat lightness(vec4 color) {\n",
+       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
+       "\t\t\t}\n",
+       "\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
+       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
+       "\n",
+       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
+       "\t\t\t\tuv.y = charStep - uv.y;\n",
+       "\n",
+       "\t\t\t\t// ignore points outside of character bounding box\n",
+       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
+       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
+       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
+       "\n",
+       "\t\t\t\tuv += charId * charStep;\n",
+       "\t\t\t\tuv = uv / atlasSize;\n",
+       "\n",
+       "\t\t\t\tvec4 color = fontColor;\n",
+       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
+       "\n",
+       "\t\t\t\tfloat maskY = lightness(mask);\n",
+       "\t\t\t\t// float colorY = lightness(color);\n",
+       "\t\t\t\tcolor.a *= maskY;\n",
+       "\t\t\t\tcolor.a *= opacity;\n",
+       "\n",
+       "\t\t\t\t// color.a += .1;\n",
+       "\n",
+       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
+       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
+       "\n",
+       "\t\t\t\tgl_FragColor = color;\n",
+       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};xc.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=nVt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(Ce){return parseFloat(Ce)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=uVt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=gVt(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!t.font&&(t.font=xc.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(Ce,ge){if(typeof Ce==\"string\")try{Ce=w5.parse(Ce)}catch(He){Ce=w5.parse(xc.baseFontSize+\"px \"+Ce)}else{var ie=Ce.style,Se=Ce.weight,ke=Ce.stretch,be=Ce.variant;Ce=w5.parse(w5.stringify(Ce)),ie&&(Ce.style=ie),Se&&(Ce.weight=Se),ke&&(Ce.stretch=ke),be&&(Ce.variant=be)}var Be=w5.stringify({size:xc.baseFontSize,family:Ce.family,stretch:Rz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style}),Le=fVt(Ce.size),me=Math.round(Le[0]*hVt(Le[1]));if(me!==r.fontSize[ge]&&(i=!0,r.fontSize[ge]=me),(!r.font[ge]||Be!=r.font[ge].baseString)&&(n=!0,r.font[ge]=xc.fonts[Be],!r.font[ge])){var Pe=Ce.family.join(\", \"),ce=[Ce.style];Ce.style!=Ce.variant&&ce.push(Ce.variant),Ce.variant!=Ce.weight&&ce.push(Ce.weight),Rz&&Ce.weight!=Ce.stretch&&ce.push(Ce.stretch),r.font[ge]={baseString:Be,family:Pe,weight:Ce.weight,stretch:Ce.stretch,style:Ce.style,variant:Ce.variant,width:{},kerning:{},metrics:pVt(Pe,{origin:\"top\",fontSize:xc.baseFontSize,fontStyle:ce.join(\" \")})},xc.fonts[Be]=r.font[ge]}}),(n||i)&&this.font.forEach(function(Ce,ge){var ie=w5.stringify({size:r.fontSize[ge],family:Ce.family,stretch:Rz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style});if(r.fontAtlas[ge]=r.shader.atlas[ie],!r.fontAtlas[ge]){var Se=Ce.metrics;r.shader.atlas[ie]=r.fontAtlas[ge]={fontString:ie,step:Math.ceil(r.fontSize[ge]*Se.bottom*.5)*2,em:r.fontSize[ge],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(Ce,ge){xc.atlasContext.font=Ce.baseString;for(var ie=r.fontAtlas[ge],Se=0;Se<r.text.length;Se++){var ke=r.text.charAt(Se);if(ie.ids[ke]==null&&(ie.ids[ke]=ie.chars.length,ie.chars.push(ke),s.push(ke)),Ce.width[ke]==null&&(Ce.width[ke]=xc.atlasContext.measureText(ke).width/xc.baseFontSize,r.kerning)){var be=[];for(var Be in Ce.width)be.push(Be+ke,ke+Be);vVt(Ce.kerning,dVt(Ce.family,{pairs:be}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=Tx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var m=0;m<d;m++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),Tx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=Tx.mallocUint8(this.count),p=Tx.mallocFloat(this.count*2);this.textWidth=[];for(var k=0,M=0;k<this.counts.length;k++){for(var T=this.counts[k],L=this.font[k]||this.font[0],x=this.fontAtlas[k]||this.fontAtlas[0],C=0;C<T;C++){var S=this.text.charAt(M),g=this.text.charAt(M-1);if(b[M]=x.ids[S],p[M*2]=L.width[S],C){var P=p[M*2-2],E=p[M*2],z=p[M*2-1],q=z+P*.5+E*.5;if(this.kerning){var V=L.kerning[g+S];V&&(q+=V*.001)}p[M*2+1]=q}else p[M*2+1]=p[M*2]*.5;M++}this.textWidth.push(p.length?p[M*2-2]*.5+p[M*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:p,type:\"float\",usage:\"stream\"}),Tx.freeUint8(b),Tx.freeFloat(p),s.length&&this.font.forEach(function(Ce,ge){var ie=r.fontAtlas[ge],Se=ie.step,ke=Math.floor(xc.maxAtlasSize/Se),be=Math.min(ke,ie.chars.length),Be=Math.ceil(ie.chars.length/be),Le=NBe(be*Se),me=NBe(Be*Se);ie.width=Le,ie.height=me,ie.rows=Be,ie.cols=be,ie.em&&ie.texture({data:lVt({canvas:xc.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Le,me],step:[Se,Se]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(Ce,ge){var ie=Array.isArray(r.align)?r.align.length>1?r.align[ge]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-Ce;case\"center\":case\"centre\":case\"middle\":return-Ce*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(Ce,ge){var ie=(r.font[ge]||r.font[0]).metrics,Se=0;return Se+=ie.bottom*.5,typeof Ce==\"number\"?Se+=Ce-ie.baseline:Se+=-ie[Ce],Se*=-1,Se})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=_K(t.color,\"uint8\");else{var G;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var Z=t.color.length;G=Tx.mallocUint8(Z);for(var j=(t.color.subarray||t.color.slice).bind(t.color),N=0;N<Z;N+=4)G.set(_K(j(N,N+4),\"uint8\"),N)}else{var H=t.color.length;G=Tx.mallocUint8(H*4);for(var re=0;re<H;re++)G.set(_K(t.color[re]||0,\"uint8\"),re*4)}this.color=G}if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity){var ae=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(ae){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Ee=0;Ee<this.batch.length;Ee++)this.batch[Ee]={count:this.counts.length>1?this.counts[Ee]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Ee]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Ee*4,Ee*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Ee]:this.opacity,baseline:this.baselineOffset[Ee]!=null?this.baselineOffset[Ee]:this.baselineOffset[0],align:this.align?this.alignOffset[Ee]!=null?this.alignOffset[Ee]:this.alignOffset[0]:0,atlas:this.fontAtlas[Ee]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Ee*2,Ee*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}};xc.prototype.destroy=function(){};xc.prototype.kerning=!0;xc.prototype.position={constant:new Float32Array(2)};xc.prototype.translate=null;xc.prototype.scale=null;xc.prototype.font=null;xc.prototype.text=\"\";xc.prototype.positionOffset=[0,0];xc.prototype.opacity=1;xc.prototype.color=new Uint8Array([0,0,0,255]);xc.prototype.alignOffset=[0,0];xc.maxAtlasSize=1024;xc.atlasCanvas=document.createElement(\"canvas\");xc.atlasContext=xc.atlasCanvas.getContext(\"2d\",{alpha:!1});xc.baseFontSize=64;xc.fonts={};function yVt(e){return typeof e==\"function\"&&e._gl&&e.prop&&e.texture&&e.buffer}VBe.exports=xc});var HBe=ye((xK,bK)=>{(function(e,t){typeof xK==\"object\"&&typeof 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si(ne,we){ne.internalformat=we.internalformat,ne.format=we.format,ne.type=we.type,ne.compressed=we.compressed,ne.premultiplyAlpha=we.premultiplyAlpha,ne.flipY=we.flipY,ne.unpackAlignment=we.unpackAlignment,ne.colorSpace=we.colorSpace,ne.width=we.width,ne.height=we.height,ne.channels=we.channels}function mn(ne,we){if(!(typeof we!=\"object\"||!we)){if(\"premultiplyAlpha\"in we&&(ne.premultiplyAlpha=we.premultiplyAlpha),\"flipY\"in we&&(ne.flipY=we.flipY),\"alignment\"in we&&(ne.unpackAlignment=we.alignment),\"colorSpace\"in we&&(ne.colorSpace=Vn[we.colorSpace]),\"type\"in we){var Oe=we.type;ne.type=Qi[Oe]}var ht=ne.width,Yt=ne.height,cr=ne.channels,Nt=!1;\"shape\"in we?(ht=we.shape[0],Yt=we.shape[1],we.shape.length===3&&(cr=we.shape[2],Nt=!0)):(\"radius\"in we&&(ht=Yt=we.radius),\"width\"in we&&(ht=we.width),\"height\"in we&&(Yt=we.height),\"channels\"in we&&(cr=we.channels,Nt=!0)),ne.width=ht|0,ne.height=Yt|0,ne.channels=cr|0;var Ne=!1;if(\"format\"in we){var 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we)&&ne.type===Ns&&(ne.type=Yc(Oe));else if(of(Oe))ne.channels=ne.channels||4,eh(ne,Oe),ne.alignment=1,ne.needsFree=!0;else if(jr(Oe)){var cr=Oe.data;!Array.isArray(cr)&&ne.type===Ns&&(ne.type=Yc(cr));var Nt=Oe.shape,Ne=Oe.stride,$e,st,It,Bt,Ft,Ut;Nt.length===3?(It=Nt[2],Ut=Ne[2]):(It=1,Ut=1),$e=Nt[0],st=Nt[1],Bt=Ne[0],Ft=Ne[1],ne.alignment=1,ne.width=$e,ne.height=st,ne.channels=It,ne.format=ne.internalformat=Hs[It],ne.needsFree=!0,jf(ne,cr,Bt,Ft,Ut,Oe.offset)}else if(Hf(Oe)||Ic(Oe)||yf(Oe))Hf(Oe)||Ic(Oe)?ne.element=Oe:ne.element=Oe.canvas,ne.width=ne.element.width,ne.height=ne.element.height,ne.channels=4;else if(Ol(Oe))ne.element=Oe,ne.width=Oe.width,ne.height=Oe.height,ne.channels=4;else if(Ah(Oe))ne.element=Oe,ne.width=Oe.naturalWidth,ne.height=Oe.naturalHeight,ne.channels=4;else if(Qf(Oe))ne.element=Oe,ne.width=Oe.videoWidth,ne.height=Oe.videoHeight,ne.channels=4;else if(Hu(Oe)){var zt=ne.width||Oe[0].length,_t=ne.height||Oe.length,Dt=ne.channels;En(Oe[0][0])?Dt=Dt||Oe[0][0].length:Dt=Dt||1;for(var vt=Ge.shape(Oe),lr=1,_r=0;_r<vt.length;++_r)lr*=vt[_r];var Br=th(ne,lr);Ge.flatten(Oe,vt,\"\",Br),ju(ne,Br),ne.alignment=1,ne.width=zt,ne.height=_t,ne.channels=Dt,ne.format=ne.internalformat=Hs[Dt],ne.needsFree=!0}ne.type===oa||ne.type}function pn(ne,we,Oe){var ht=ne.element,Yt=ne.data,cr=ne.internalformat,Nt=ne.format,Ne=ne.type,$e=ne.width,st=ne.height;Ji(ne),ht?Me.texImage2D(we,Oe,Nt,Nt,Ne,ht):ne.compressed?Me.compressedTexImage2D(we,Oe,cr,$e,st,0,Yt):ne.needsCopy?(Lr(),Me.copyTexImage2D(we,Oe,Nt,ne.xOffset,ne.yOffset,$e,st,0)):Me.texImage2D(we,Oe,Nt,$e,st,0,Nt,Ne,Yt||null)}function Nn(ne,we,Oe,ht,Yt){var cr=ne.element,Nt=ne.data,Ne=ne.internalformat,$e=ne.format,st=ne.type,It=ne.width,Bt=ne.height;Ji(ne),cr?Me.texSubImage2D(we,Yt,Oe,ht,$e,st,cr):ne.compressed?Me.compressedTexSubImage2D(we,Yt,Oe,ht,Ne,It,Bt,Nt):ne.needsCopy?(Lr(),Me.copyTexSubImage2D(we,Yt,Oe,ht,ne.xOffset,ne.yOffset,It,Bt)):Me.texSubImage2D(we,Yt,Oe,ht,It,Bt,$e,st,Nt)}var aa=[];function Ki(){return aa.pop()||new Ui}function Cn(ne){ne.needsFree&&H.freeType(ne.data),Ui.call(ne),aa.push(ne)}function ia(){fi.call(this),this.genMipmaps=!1,this.mipmapHint=sc,this.mipmask=0,this.images=Array(16)}function sa(ne,we,Oe){var ht=ne.images[0]=Ki();ne.mipmask=1,ht.width=ne.width=we,ht.height=ne.height=Oe,ht.channels=ne.channels=4}function ba(ne,we){var Oe=null;if(_f(we))Oe=ne.images[0]=Ki(),si(Oe,ne),Bi(Oe,we),ne.mipmask=1;else if(mn(ne,we),Array.isArray(we.mipmap))for(var ht=we.mipmap,Yt=0;Yt<ht.length;++Yt)Oe=ne.images[Yt]=Ki(),si(Oe,ne),Oe.width>>=Yt,Oe.height>>=Yt,Bi(Oe,ht[Yt]),ne.mipmask|=1<<Yt;else Oe=ne.images[0]=Ki(),si(Oe,ne),Bi(Oe,we),ne.mipmask=1;si(ne,ne.images[0]),ne.compressed&&(ne.internalformat===Io||ne.internalformat===ls||ne.internalformat===Yl||ne.internalformat)}function is(ne,we){for(var Oe=ne.images,ht=0;ht<Oe.length;++ht){if(!Oe[ht])return;pn(Oe[ht],we,ht)}}var Zs=[];function Ga(){var ne=Zs.pop()||new ia;fi.call(ne),ne.mipmask=0;for(var we=0;we<16;++we)ne.images[we]=null;return ne}function El(ne){for(var we=ne.images,Oe=0;Oe<we.length;++Oe)we[Oe]&&Cn(we[Oe]),we[Oe]=null;Zs.push(ne)}function zo(){this.minFilter=pl,this.magFilter=pl,this.wrapS=Pc,this.wrapT=Pc,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=sc}function Qs(ne,we){if(\"min\"in we){var Oe=we.min;ne.minFilter=Si[Oe],Es.indexOf(ne.minFilter)>=0&&!(\"faces\"in we)&&(ne.genMipmaps=!0)}if(\"mag\"in we){var ht=we.mag;ne.magFilter=qi[ht]}var Yt=ne.wrapS,cr=ne.wrapT;if(\"wrap\"in we){var Nt=we.wrap;typeof Nt==\"string\"?Yt=cr=Ni[Nt]:Array.isArray(Nt)&&(Yt=Ni[Nt[0]],cr=Ni[Nt[1]])}else{if(\"wrapS\"in we){var Ne=we.wrapS;Yt=Ni[Ne]}if(\"wrapT\"in we){var $e=we.wrapT;cr=Ni[$e]}}if(ne.wrapS=Yt,ne.wrapT=cr,\"anisotropic\"in we){var st=we.anisotropic;ne.anisotropic=we.anisotropic}if(\"mipmap\"in we){var It=!1;switch(typeof we.mipmap){case\"string\":ne.mipmapHint=vi[we.mipmap],ne.genMipmaps=!0,It=!0;break;case\"boolean\":It=ne.genMipmaps=we.mipmap;break;case\"object\":ne.genMipmaps=!1,It=!0;break;default:}It&&!(\"min\"in we)&&(ne.minFilter=Jl)}}function nl(ne,we){Me.texParameteri(we,Vf,ne.minFilter),Me.texParameteri(we,nf,ne.magFilter),Me.texParameteri(we,qo,ne.wrapS),Me.texParameteri(we,Oo,ne.wrapT),bt.ext_texture_filter_anisotropic&&Me.texParameteri(we,cs,ne.anisotropic),ne.genMipmaps&&(Me.hint(Cf,ne.mipmapHint),Me.generateMipmap(we))}var Ul=0,ss={},Vs=Ot.maxTextureUnits,Ys=Array(Vs).map(function(){return null});function wa(ne){fi.call(this),this.mipmask=0,this.internalformat=Ma,this.id=Ul++,this.refCount=1,this.target=ne,this.texture=Me.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new zo,Nr.profile&&(this.stats={size:0})}function al(ne){Me.activeTexture(Fu),Me.bindTexture(ne.target,ne.texture)}function io(){var ne=Ys[0];ne?Me.bindTexture(ne.target,ne.texture):Me.bindTexture(_n,null)}function Y(ne){var we=ne.texture,Oe=ne.unit,ht=ne.target;Oe>=0&&(Me.activeTexture(Fu+Oe),Me.bindTexture(ht,null),Ys[Oe]=null),Me.deleteTexture(we),ne.texture=null,ne.params=null,ne.pixels=null,ne.refCount=0,delete ss[ne.id],Or.textureCount--}e(wa.prototype,{bind:function(){var ne=this;ne.bindCount+=1;var we=ne.unit;if(we<0){for(var Oe=0;Oe<Vs;++Oe){var ht=Ys[Oe];if(ht){if(ht.bindCount>0)continue;ht.unit=-1}Ys[Oe]=ne,we=Oe;break}we>=Vs,Nr.profile&&Or.maxTextureUnits<we+1&&(Or.maxTextureUnits=we+1),ne.unit=we,Me.activeTexture(Fu+we),Me.bindTexture(ne.target,ne.texture)}return we},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function D(ne,we){var Oe=new wa(_n);ss[Oe.id]=Oe,Or.textureCount++;function ht(Nt,Ne){var $e=Oe.texInfo;zo.call($e);var st=Ga();return typeof Nt==\"number\"?typeof Ne==\"number\"?sa(st,Nt|0,Ne|0):sa(st,Nt|0,Nt|0):Nt?(Qs($e,Nt),ba(st,Nt)):sa(st,1,1),$e.genMipmaps&&(st.mipmask=(st.width<<1)-1),Oe.mipmask=st.mipmask,si(Oe,st),Oe.internalformat=st.internalformat,ht.width=st.width,ht.height=st.height,al(Oe),is(st,_n),nl($e,_n),io(),El(st),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,st.width,st.height,$e.genMipmaps,!1)),ht.format=yi[Oe.internalformat],ht.type=Ii[Oe.type],ht.mag=ui[$e.magFilter],ht.min=nn[$e.minFilter],ht.wrapS=Zi[$e.wrapS],ht.wrapT=Zi[$e.wrapT],ht}function Yt(Nt,Ne,$e,st){var It=Ne|0,Bt=$e|0,Ft=st|0,Ut=Ki();return si(Ut,Oe),Ut.width=0,Ut.height=0,Bi(Ut,Nt),Ut.width=Ut.width||(Oe.width>>Ft)-It,Ut.height=Ut.height||(Oe.height>>Ft)-Bt,al(Oe),Nn(Ut,_n,It,Bt,Ft),io(),Cn(Ut),ht}function cr(Nt,Ne){var $e=Nt|0,st=Ne|0||$e;if($e===Oe.width&&st===Oe.height)return ht;ht.width=Oe.width=$e,ht.height=Oe.height=st,al(Oe);for(var It=0;Oe.mipmask>>It;++It){var Bt=$e>>It,Ft=st>>It;if(!Bt||!Ft)break;Me.texImage2D(_n,It,Oe.format,Bt,Ft,0,Oe.format,Oe.type,null)}return io(),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,$e,st,!1,!1)),ht}return ht(ne,we),ht.subimage=Yt,ht.resize=cr,ht._reglType=\"texture2d\",ht._texture=Oe,Nr.profile&&(ht.stats=Oe.stats),ht.destroy=function(){Oe.decRef()},ht}function J(ne,we,Oe,ht,Yt,cr){var Nt=new wa(ya);ss[Nt.id]=Nt,Or.cubeCount++;var Ne=new Array(6);function $e(Bt,Ft,Ut,zt,_t,Dt){var vt,lr=Nt.texInfo;for(zo.call(lr),vt=0;vt<6;++vt)Ne[vt]=Ga();if(typeof Bt==\"number\"||!Bt){var _r=Bt|0||1;for(vt=0;vt<6;++vt)sa(Ne[vt],_r,_r)}else if(typeof Bt==\"object\")if(Ft)ba(Ne[0],Bt),ba(Ne[1],Ft),ba(Ne[2],Ut),ba(Ne[3],zt),ba(Ne[4],_t),ba(Ne[5],Dt);else if(Qs(lr,Bt),mn(Nt,Bt),\"faces\"in Bt){var Br=Bt.faces;for(vt=0;vt<6;++vt)si(Ne[vt],Nt),ba(Ne[vt],Br[vt])}else for(vt=0;vt<6;++vt)ba(Ne[vt],Bt);for(si(Nt,Ne[0]),lr.genMipmaps?Nt.mipmask=(Ne[0].width<<1)-1:Nt.mipmask=Ne[0].mipmask,Nt.internalformat=Ne[0].internalformat,$e.width=Ne[0].width,$e.height=Ne[0].height,al(Nt),vt=0;vt<6;++vt)is(Ne[vt],ea+vt);for(nl(lr,ya),io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,lr.genMipmaps,!0)),$e.format=yi[Nt.internalformat],$e.type=Ii[Nt.type],$e.mag=ui[lr.magFilter],$e.min=nn[lr.minFilter],$e.wrapS=Zi[lr.wrapS],$e.wrapT=Zi[lr.wrapT],vt=0;vt<6;++vt)El(Ne[vt]);return $e}function st(Bt,Ft,Ut,zt,_t){var Dt=Ut|0,vt=zt|0,lr=_t|0,_r=Ki();return si(_r,Nt),_r.width=0,_r.height=0,Bi(_r,Ft),_r.width=_r.width||(Nt.width>>lr)-Dt,_r.height=_r.height||(Nt.height>>lr)-vt,al(Nt),Nn(_r,ea+Bt,Dt,vt,lr),io(),Cn(_r),$e}function It(Bt){var Ft=Bt|0;if(Ft!==Nt.width){$e.width=Nt.width=Ft,$e.height=Nt.height=Ft,al(Nt);for(var Ut=0;Ut<6;++Ut)for(var zt=0;Nt.mipmask>>zt;++zt)Me.texImage2D(ea+Ut,zt,Nt.format,Ft>>zt,Ft>>zt,0,Nt.format,Nt.type,null);return io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,!1,!0)),$e}}return $e(ne,we,Oe,ht,Yt,cr),$e.subimage=st,$e.resize=It,$e._reglType=\"textureCube\",$e._texture=Nt,Nr.profile&&($e.stats=Nt.stats),$e.destroy=function(){Nt.decRef()},$e}function O(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;gt(ss).forEach(Y),Or.cubeCount=0,Or.textureCount=0}Nr.profile&&(Or.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}gt(ss).forEach(function(Oe){Oe.texture=Me.createTexture(),Me.bindTexture(Oe.target,Oe.texture);for(var ht=0;ht<32;++ht)if((Oe.mipmask&1<<ht)!==0)if(Oe.target===_n)Me.texImage2D(_n,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);else for(var Yt=0;Yt<6;++Yt)Me.texImage2D(ea+Yt,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);nl(Oe.texInfo,Oe.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:O,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,gs=36194,Wf=33189,Wh=36168,rh=34041,lf=35907,Sh=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[Wf]=2,js[Wh]=1,js[rh]=4,js[lf]=4,js[Sh]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,Ot){return js[Me]*bt*Ot}var Dc=function(Me,bt,Ot,Lr,Vr){var Or={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:Wf,stencil:Wh,\"depth stencil\":rh};bt.ext_srgb&&(Or.srgba=lf),bt.ext_color_buffer_half_float&&(Or.rgba16f=Mu,Or.rgb16f=ih),bt.webgl_color_buffer_float&&(Or.rgba32f=Sh);var Nr=[];Object.keys(Or).forEach(function(Wi){var oi=Or[Wi];Nr[oi]=Wi});var vi=0,Ni={};function qi(Wi){this.id=vi++,this.refCount=1,this.renderbuffer=Wi,this.format=Kc,this.width=0,this.height=0,Vr.profile&&(this.stats={size:0})}qi.prototype.decRef=function(){--this.refCount<=0&&Si(this)};function Si(Wi){var oi=Wi.renderbuffer;Me.bindRenderbuffer(Bl,null),Me.deleteRenderbuffer(oi),Wi.renderbuffer=null,Wi.refCount=0,delete Ni[Wi.id],Lr.renderbufferCount--}function Vn(Wi,oi){var Tr=new qi(Me.createRenderbuffer());Ni[Tr.id]=Tr,Lr.renderbufferCount++;function Zr(Ii,ui){var nn=0,Zi=0,qn=Kc;if(typeof Ii==\"object\"&&Ii){var fi=Ii;if(\"shape\"in fi){var si=fi.shape;nn=si[0]|0,Zi=si[1]|0}else\"radius\"in fi&&(nn=Zi=fi.radius|0),\"width\"in fi&&(nn=fi.width|0),\"height\"in fi&&(Zi=fi.height|0);\"format\"in fi&&(qn=Or[fi.format])}else typeof Ii==\"number\"?(nn=Ii|0,typeof ui==\"number\"?Zi=ui|0:Zi=nn):Ii||(nn=Zi=1);if(!(nn===Tr.width&&Zi===Tr.height&&qn===Tr.format))return Zr.width=Tr.width=nn,Zr.height=Tr.height=Zi,Tr.format=qn,Me.bindRenderbuffer(Bl,Tr.renderbuffer),Me.renderbufferStorage(Bl,qn,nn,Zi),Vr.profile&&(Tr.stats.size=Eu(Tr.format,Tr.width,Tr.height)),Zr.format=Nr[Tr.format],Zr}function yi(Ii,ui){var nn=Ii|0,Zi=ui|0||nn;return nn===Tr.width&&Zi===Tr.height||(Zr.width=Tr.width=nn,Zr.height=Tr.height=Zi,Me.bindRenderbuffer(Bl,Tr.renderbuffer),Me.renderbufferStorage(Bl,Tr.format,nn,Zi),Vr.profile&&(Tr.stats.size=Eu(Tr.format,Tr.width,Tr.height))),Zr}return Zr(Wi,oi),Zr.resize=yi,Zr._reglType=\"renderbuffer\",Zr._renderbuffer=Tr,Vr.profile&&(Zr.stats=Tr.stats),Zr.destroy=function(){Tr.decRef()},Zr}Vr.profile&&(Lr.getTotalRenderbufferSize=function(){var Wi=0;return Object.keys(Ni).forEach(function(oi){Wi+=Ni[oi].stats.size}),Wi});function Qi(){gt(Ni).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Bl,Wi.renderbuffer),Me.renderbufferStorage(Bl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Bl,null)}return{create:Vn,clear:function(){gt(Ni).forEach(Si)},restore:Qi}},ks=36160,bc=36161,hu=3553,_u=34069,il=36064,nh=36096,Mh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,qu=6408,bf=[];bf[qu]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function uf(Me,bt,Ot,Lr,Vr,Or){var Nr={cur:null,next:null,dirty:!1,setFBO:null},vi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ni.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Si(Ui,Bi,pn){this.target=Ui,this.texture=Bi,this.renderbuffer=pn;var Nn=0,aa=0;Bi?(Nn=Bi.width,aa=Bi.height):pn&&(Nn=pn.width,aa=pn.height),this.width=Nn,this.height=aa}function Vn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,pn){if(Ui)if(Ui.texture){var Nn=Ui.texture._texture,aa=Math.max(1,Nn.width),Ki=Math.max(1,Nn.height);Nn.refCount+=1}else{var Cn=Ui.renderbuffer._renderbuffer;Cn.refCount+=1}}function Wi(Ui,Bi){Bi&&(Bi.texture?Me.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function oi(Ui){var Bi=hu,pn=null,Nn=null,aa=Ui;typeof Ui==\"object\"&&(aa=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Ki=aa._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=aa:Ki===\"renderbuffer\"&&(Nn=aa,Bi=bc),new Si(Bi,pn,Nn)}function Tr(Ui,Bi,pn,Nn,aa){if(pn){var Ki=Lr.create2D({width:Ui,height:Bi,format:Nn,type:aa});return Ki._texture.refCount=0,new Si(hu,Ki,null)}else{var Cn=Vr.create({width:Ui,height:Bi,format:Nn});return Cn._renderbuffer.refCount=0,new Si(bc,null,Cn)}}function Zr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function yi(Ui,Bi,pn){Ui&&(Ui.texture?Ui.texture.resize(Bi,pn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,pn),Ui.width=Bi,Ui.height=pn)}var Ii=0,ui={};function nn(){this.id=Ii++,ui[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Ui){Ui.colorAttachments.forEach(Vn),Vn(Ui.depthAttachment),Vn(Ui.stencilAttachment),Vn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Me.deleteFramebuffer(Bi),Ui.framebuffer=null,Or.framebufferCount--,delete ui[Ui.id]}function fi(Ui){var Bi;Me.bindFramebuffer(ks,Ui.framebuffer);var pn=Ui.colorAttachments;for(Bi=0;Bi<pn.length;++Bi)Wi(il+Bi,pn[Bi]);for(Bi=pn.length;Bi<Ot.maxColorAttachments;++Bi)Me.framebufferTexture2D(ks,il+Bi,hu,null,0);Me.framebufferTexture2D(ks,zu,hu,null,0),Me.framebufferTexture2D(ks,nh,hu,null,0),Me.framebufferTexture2D(ks,Mh,hu,null,0),Wi(nh,Ui.depthAttachment),Wi(Mh,Ui.stencilAttachment),Wi(zu,Ui.depthStencilAttachment);var Nn=Me.checkFramebufferStatus(ks);Me.isContextLost(),Me.bindFramebuffer(ks,Nr.next?Nr.next.framebuffer:null),Nr.cur=Nr.next,Me.getError()}function si(Ui,Bi){var pn=new nn;Or.framebufferCount++;function Nn(Ki,Cn){var ia,sa=0,ba=0,is=!0,Zs=!0,Ga=null,El=!0,zo=\"rgba\",Qs=\"uint8\",nl=1,Ul=null,ss=null,Vs=null,Ys=!1;if(typeof Ki==\"number\")sa=Ki|0,ba=Cn|0||sa;else if(!Ki)sa=ba=1;else{var wa=Ki;if(\"shape\"in wa){var al=wa.shape;sa=al[0],ba=al[1]}else\"radius\"in wa&&(sa=ba=wa.radius),\"width\"in wa&&(sa=wa.width),\"height\"in wa&&(ba=wa.height);(\"color\"in wa||\"colors\"in wa)&&(Ga=wa.color||wa.colors,Array.isArray(Ga)),Ga||(\"colorCount\"in wa&&(nl=wa.colorCount|0),\"colorTexture\"in wa&&(El=!!wa.colorTexture,zo=\"rgba4\"),\"colorType\"in wa&&(Qs=wa.colorType,El||(Qs===\"half float\"||Qs===\"float16\"?zo=\"rgba16f\":(Qs===\"float\"||Qs===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in wa&&(zo=wa.colorFormat,vi.indexOf(zo)>=0?El=!0:Ni.indexOf(zo)>=0&&(El=!1))),(\"depthTexture\"in wa||\"depthStencilTexture\"in wa)&&(Ys=!!(wa.depthTexture||wa.depthStencilTexture)),\"depth\"in wa&&(typeof wa.depth==\"boolean\"?is=wa.depth:(Ul=wa.depth,Zs=!1)),\"stencil\"in wa&&(typeof wa.stencil==\"boolean\"?Zs=wa.stencil:(ss=wa.stencil,is=!1)),\"depthStencil\"in wa&&(typeof wa.depthStencil==\"boolean\"?is=Zs=wa.depthStencil:(Vs=wa.depthStencil,is=!1,Zs=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Ga))io=Ga.map(oi);else if(Ga)io=[oi(Ga)];else for(io=new Array(nl),ia=0;ia<nl;++ia)io[ia]=Tr(sa,ba,El,zo,Qs);sa=sa||io[0].width,ba=ba||io[0].height,Ul?Y=oi(Ul):is&&!Zs&&(Y=Tr(sa,ba,Ys,\"depth\",\"uint32\")),ss?D=oi(ss):Zs&&!is&&(D=Tr(sa,ba,!1,\"stencil\",\"uint8\")),Vs?J=oi(Vs):!Ul&&!ss&&Zs&&is&&(J=Tr(sa,ba,Ys,\"depth stencil\",\"depth stencil\"));var O=null;for(ia=0;ia<io.length;++ia)if(Qi(io[ia],sa,ba),io[ia]&&io[ia].texture){var K=bf[io[ia].texture._texture.format]*jl[io[ia].texture._texture.type];O===null&&(O=K)}return Qi(Y,sa,ba),Qi(D,sa,ba),Qi(J,sa,ba),Zi(pn),pn.width=sa,pn.height=ba,pn.colorAttachments=io,pn.depthAttachment=Y,pn.stencilAttachment=D,pn.depthStencilAttachment=J,Nn.color=io.map(Zr),Nn.depth=Zr(Y),Nn.stencil=Zr(D),Nn.depthStencil=Zr(J),Nn.width=pn.width,Nn.height=pn.height,fi(pn),Nn}function aa(Ki,Cn){var ia=Math.max(Ki|0,1),sa=Math.max(Cn|0||ia,1);if(ia===pn.width&&sa===pn.height)return Nn;for(var ba=pn.colorAttachments,is=0;is<ba.length;++is)yi(ba[is],ia,sa);return yi(pn.depthAttachment,ia,sa),yi(pn.stencilAttachment,ia,sa),yi(pn.depthStencilAttachment,ia,sa),pn.width=Nn.width=ia,pn.height=Nn.height=sa,fi(pn),Nn}return Nn(Ui,Bi),e(Nn,{resize:aa,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){qn(pn),Zi(pn)},use:function(Ki){Nr.setFBO({framebuffer:Nn},Ki)}})}function mn(Ui){var Bi=Array(6);function pn(aa){var Ki,Cn={color:null},ia=0,sa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof aa==\"number\")ia=aa|0;else if(!aa)ia=1;else{var Ga=aa;if(\"shape\"in Ga){var El=Ga.shape;ia=El[0]}else\"radius\"in Ga&&(ia=Ga.radius|0),\"width\"in Ga?(ia=Ga.width|0,\"height\"in Ga):\"height\"in Ga&&(ia=Ga.height|0);(\"color\"in Ga||\"colors\"in Ga)&&(sa=Ga.color||Ga.colors,Array.isArray(sa)),sa||(\"colorCount\"in Ga&&(Zs=Ga.colorCount|0),\"colorType\"in Ga&&(is=Ga.colorType),\"colorFormat\"in Ga&&(ba=Ga.colorFormat)),\"depth\"in Ga&&(Cn.depth=Ga.depth),\"stencil\"in Ga&&(Cn.stencil=Ga.stencil),\"depthStencil\"in Ga&&(Cn.depthStencil=Ga.depthStencil)}var zo;if(sa)if(Array.isArray(sa))for(zo=[],Ki=0;Ki<sa.length;++Ki)zo[Ki]=sa[Ki];else zo=[sa];else{zo=Array(Zs);var Qs={radius:ia,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Lr.createCube(Qs)}for(Cn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var nl=zo[Ki];ia=ia||nl.width,Cn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Ul=0;Ul<zo.length;++Ul)Cn.color[Ul].target=_u+Ki;Ki>0&&(Cn.depth=Bi[0].depth,Cn.stencil=Bi[0].stencil,Cn.depthStencil=Bi[0].depthStencil),Bi[Ki]?Bi[Ki](Cn):Bi[Ki]=si(Cn)}return e(pn,{width:ia,height:ia,color:zo})}function Nn(aa){var Ki,Cn=aa|0;if(Cn===pn.width)return pn;var ia=pn.color;for(Ki=0;Ki<ia.length;++Ki)ia[Ki].resize(Cn);for(Ki=0;Ki<6;++Ki)Bi[Ki].resize(Cn);return pn.width=pn.height=Cn,pn}return pn(Ui),e(pn,{faces:Bi,resize:Nn,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(aa){aa.destroy()})}})}function Ji(){Nr.cur=null,Nr.next=null,Nr.dirty=!0,gt(ui).forEach(function(Ui){Ui.framebuffer=Me.createFramebuffer(),fi(Ui)})}return e(Nr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:si,createCube:mn,clear:function(){gt(ui).forEach(qn)},restore:Ji})}var Xh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Xh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,Ot,Lr,Vr,Or,Nr){for(var vi=Ot.maxAttributes,Ni=new Array(vi),qi=0;qi<vi;++qi)Ni[qi]=new du;var Si=0,Vn={},Qi={Record:du,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:oi()?Zi:function(){},createVAO:qn,getVAO:Zr,destroyBuffer:Wi,setVAO:oi()?yi:Ii,clear:oi()?ui:function(){}};function Wi(fi){for(var si=0;si<Ni.length;++si){var mn=Ni[si];mn.buffer===fi&&(Me.disableVertexAttribArray(si),mn.buffer=null)}}function oi(){return bt.oes_vertex_array_object}function Tr(){return bt.angle_instanced_arrays}function Zr(fi){return typeof fi==\"function\"&&fi._vao?fi._vao:null}function yi(fi){if(fi!==Qi.currentVAO){var si=oi();fi?si.bindVertexArrayOES(fi.vao):si.bindVertexArrayOES(null),Qi.currentVAO=fi}}function Ii(fi){if(fi!==Qi.currentVAO){if(fi)fi.bindAttrs();else{for(var si=Tr(),mn=0;mn<Ni.length;++mn){var Ji=Ni[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),si&&Ji.divisor&&si.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Nr.elements?Me.bindBuffer(Cs,Nr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}Qi.currentVAO=fi}}function ui(){gt(Vn).forEach(function(fi){fi.destroy()})}function nn(){this.id=++Si,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var fi=oi();fi?this.vao=fi.createVertexArrayOES():this.vao=null,Vn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var fi=Tr(),si=this.attributes,mn=0;mn<si.length;++mn){var Ji=si[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),fi&&Ji.divisor&&fi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Ui=si.length;Ui<vi;++Ui)Me.disableVertexAttribArray(Ui);var Bi=Or.getElements(this.elements);Bi?Me.bindBuffer(Cs,Bi.buffer.buffer):Me.bindBuffer(Cs,null)},nn.prototype.refresh=function(){var fi=oi();fi&&(fi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,fi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var fi=oi();this===Qi.currentVAO&&(Qi.currentVAO=null,fi.bindVertexArrayOES(null)),fi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Vn[this.id]&&(delete Vn[this.id],Lr.vaoCount-=1)};function Zi(){var fi=oi();fi&&gt(Vn).forEach(function(si){si.refresh()})}function qn(fi){var si=new nn;Lr.vaoCount+=1;function mn(Ji){var Ui;if(Array.isArray(Ji))Ui=Ji,si.elements&&si.ownsElements&&si.elements.destroy(),si.elements=null,si.ownsElements=!1,si.offset=0,si.count=0,si.instances=-1,si.primitive=4;else{if(Ji.elements){var Bi=Ji.elements;si.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(si.elements.destroy(),si.ownsElements=!1):(si.elements(Bi),si.ownsElements=!1):Or.getElements(Ji.elements)?(si.elements=Ji.elements,si.ownsElements=!1):(si.elements=Or.create(Ji.elements),si.ownsElements=!0)}else si.elements=null,si.ownsElements=!1;Ui=Ji.attributes,si.offset=0,si.count=-1,si.instances=-1,si.primitive=4,si.elements&&(si.count=si.elements._elements.vertCount,si.primitive=si.elements._elements.primType),\"offset\"in Ji&&(si.offset=Ji.offset|0),\"count\"in Ji&&(si.count=Ji.count|0),\"instances\"in Ji&&(si.instances=Ji.instances|0),\"primitive\"in Ji&&(si.primitive=Mn[Ji.primitive])}var pn={},Nn=si.attributes;Nn.length=Ui.length;for(var aa=0;aa<Ui.length;++aa){var Ki=Ui[aa],Cn=Nn[aa]=new du,ia=Ki.data||Ki;if(Array.isArray(ia)||qr(ia)||jr(ia)){var sa;si.buffers[aa]&&(sa=si.buffers[aa],qr(ia)&&sa._buffer.byteLength>=ia.byteLength?sa.subdata(ia):(sa.destroy(),si.buffers[aa]=null)),si.buffers[aa]||(sa=si.buffers[aa]=Vr.create(Ki,If,!1,!0)),Cn.buffer=Vr.getBuffer(sa),Cn.size=Cn.buffer.dimension|0,Cn.normalized=!1,Cn.type=Cn.buffer.dtype,Cn.offset=0,Cn.stride=0,Cn.divisor=0,Cn.state=1,pn[aa]=1}else Vr.getBuffer(Ki)?(Cn.buffer=Vr.getBuffer(Ki),Cn.size=Cn.buffer.dimension|0,Cn.normalized=!1,Cn.type=Cn.buffer.dtype,Cn.offset=0,Cn.stride=0,Cn.divisor=0,Cn.state=1):Vr.getBuffer(Ki.buffer)?(Cn.buffer=Vr.getBuffer(Ki.buffer),Cn.size=(+Ki.size||Cn.buffer.dimension)|0,Cn.normalized=!!Ki.normalized||!1,\"type\"in Ki?Cn.type=un[Ki.type]:Cn.type=Cn.buffer.dtype,Cn.offset=(Ki.offset||0)|0,Cn.stride=(Ki.stride||0)|0,Cn.divisor=(Ki.divisor||0)|0,Cn.state=1):\"x\"in Ki&&(Cn.x=+Ki.x||0,Cn.y=+Ki.y||0,Cn.z=+Ki.z||0,Cn.w=+Ki.w||0,Cn.state=2)}for(var ba=0;ba<si.buffers.length;++ba)!pn[ba]&&si.buffers[ba]&&(si.buffers[ba].destroy(),si.buffers[ba]=null);return si.refresh(),mn}return mn.destroy=function(){for(var Ji=0;Ji<si.buffers.length;++Ji)si.buffers[Ji]&&si.buffers[Ji].destroy();si.buffers.length=0,si.ownsElements&&(si.elements.destroy(),si.elements=null,si.ownsElements=!1),si.destroy()},mn._vao=si,mn._reglType=\"vao\",mn(fi)}return Qi}var Xf=35632,Us=35633,wf=35718,zc=35721;function Wu(Me,bt,Ot,Lr){var Vr={},Or={};function Nr(Tr,Zr,yi,Ii){this.name=Tr,this.id=Zr,this.location=yi,this.info=Ii}function vi(Tr,Zr){for(var yi=0;yi<Tr.length;++yi)if(Tr[yi].id===Zr.id){Tr[yi].location=Zr.location;return}Tr.push(Zr)}function Ni(Tr,Zr,yi){var Ii=Tr===Xf?Vr:Or,ui=Ii[Zr];if(!ui){var nn=bt.str(Zr);ui=Me.createShader(Tr),Me.shaderSource(ui,nn),Me.compileShader(ui),Ii[Zr]=ui}return ui}var qi={},Si=[],Vn=0;function Qi(Tr,Zr){this.id=Vn++,this.fragId=Tr,this.vertId=Zr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Lr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Tr,Zr,yi){var Ii,ui,nn=Ni(Xf,Tr.fragId),Zi=Ni(Us,Tr.vertId),qn=Tr.program=Me.createProgram();if(Me.attachShader(qn,nn),Me.attachShader(qn,Zi),yi)for(Ii=0;Ii<yi.length;++Ii){var fi=yi[Ii];Me.bindAttribLocation(qn,fi[0],fi[1])}Me.linkProgram(qn);var si=Me.getProgramParameter(qn,wf);Lr.profile&&(Tr.stats.uniformsCount=si);var mn=Tr.uniforms;for(Ii=0;Ii<si;++Ii)if(ui=Me.getActiveUniform(qn,Ii),ui)if(ui.size>1)for(var Ji=0;Ji<ui.size;++Ji){var Ui=ui.name.replace(\"[0]\",\"[\"+Ji+\"]\");vi(mn,new Nr(Ui,bt.id(Ui),Me.getUniformLocation(qn,Ui),ui))}else vi(mn,new Nr(ui.name,bt.id(ui.name),Me.getUniformLocation(qn,ui.name),ui));var Bi=Me.getProgramParameter(qn,zc);Lr.profile&&(Tr.stats.attributesCount=Bi);var pn=Tr.attributes;for(Ii=0;Ii<Bi;++Ii)ui=Me.getActiveAttrib(qn,Ii),ui&&vi(pn,new Nr(ui.name,bt.id(ui.name),Me.getAttribLocation(qn,ui.name),ui))}Lr.profile&&(Ot.getMaxUniformsCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.uniformsCount>Tr&&(Tr=Zr.stats.uniformsCount)}),Tr},Ot.getMaxAttributesCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.attributesCount>Tr&&(Tr=Zr.stats.attributesCount)}),Tr});function oi(){Vr={},Or={};for(var Tr=0;Tr<Si.length;++Tr)Wi(Si[Tr],null,Si[Tr].attributes.map(function(Zr){return[Zr.location,Zr.name]}))}return{clear:function(){var Tr=Me.deleteShader.bind(Me);gt(Vr).forEach(Tr),Vr={},gt(Or).forEach(Tr),Or={},Si.forEach(function(Zr){Me.deleteProgram(Zr.program)}),Si.length=0,qi={},Ot.shaderCount=0},program:function(Tr,Zr,yi,Ii){var ui=qi[Zr];ui||(ui=qi[Zr]={});var nn=ui[Tr];if(nn&&(nn.refCount++,!Ii))return nn;var Zi=new Qi(Zr,Tr);return Ot.shaderCount++,Wi(Zi,yi,Ii),nn||(ui[Tr]=Zi),Si.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var qn=Si.indexOf(Zi);Si.splice(qn,1),Ot.shaderCount--}ui[Zi.vertId].refCount<=0&&(Me.deleteShader(Or[Zi.vertId]),delete Or[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(Vr[Zi.fragId]),delete Vr[Zi.fragId],delete qi[Zi.fragId])}})},restore:oi,shader:Ni,frag:-1,vert:-1}}var Rf=6408,Xu=5121,cf=3333,Zf=5126;function Wl(Me,bt,Ot,Lr,Vr,Or,Nr){function vi(Si){var Vn;bt.next===null?Vn=Xu:Vn=bt.next.colorAttachments[0].texture._texture.type;var 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bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",Ot=\"\",Lr,Vr=0;Vr<Me.length;Vr++)Lr=Me.charCodeAt(Vr),Ot+=bt.charAt(Lr>>>4&15)+bt.charAt(Lr&15);return Ot}function Oc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Ot=\"\",Lr=Me.length,Vr=0;Vr<Lr;Vr+=3)for(var Or=Me.charCodeAt(Vr)<<16|(Vr+1<Lr?Me.charCodeAt(Vr+1)<<8:0)|(Vr+2<Lr?Me.charCodeAt(Vr+2):0),Nr=0;Nr<4;Nr++)Vr*8+Nr*6>Me.length*8?Ot+=Zu:Ot+=bt.charAt(Or>>>6*(3-Nr)&63);return Ot}function ff(Me,bt){var Ot=bt.length,Lr=Array(),Vr,Or,Nr,vi,Ni=Array(Math.ceil(Me.length/2));for(Vr=0;Vr<Ni.length;Vr++)Ni[Vr]=Me.charCodeAt(Vr*2)<<8|Me.charCodeAt(Vr*2+1);for(;Ni.length>0;){for(vi=Array(),Nr=0,Vr=0;Vr<Ni.length;Vr++)Nr=(Nr<<16)+Ni[Vr],Or=Math.floor(Nr/Ot),Nr-=Or*Ot,(vi.length>0||Or>0)&&(vi[vi.length]=Or);Lr[Lr.length]=Nr,Ni=vi}var qi=\"\";for(Vr=Lr.length-1;Vr>=0;Vr--)qi+=bt.charAt(Lr[Vr]);var Si=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(Vr=qi.length;Vr<Si;Vr++)qi=bt[0]+qi;return 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st[Ze]==\"string\";if(It){if(Object.keys($e.dynamic).length>0)return null;var Bt=$e.static,Ft=Object.keys(Bt);if(Ft.length>0&&typeof Bt[Ft[0]]==\"number\"){for(var Ut=[],zt=0;zt<Ft.length;++zt)Ut.push([Bt[Ft[zt]]|0,Ft[zt]]);return Ut}}return null}function Zs(Ne,$e,st){var It=Ne.static,Bt=Ne.dynamic;function Ft(vt){if(vt in It){var lr=bt.id(It[vt]),_r=kn(function(){return lr});return _r.id=lr,_r}else if(vt in Bt){var Br=Bt[vt];return Bn(Br,function(Di,ci){var bi=Di.invoke(ci,Br),gn=ci.def(Di.shared.strings,\".id(\",bi,\")\");return gn})}return null}var Ut=Ft(ut),zt=Ft(Ze),_t=null,Dt;return Pn(Ut)&&Pn(zt)?(_t=Si.program(zt.id,Ut.id,null,st),Dt=kn(function(vt,lr){return vt.link(_t)})):Dt=new Qr(Ut&&Ut.thisDep||zt&&zt.thisDep,Ut&&Ut.contextDep||zt&&zt.contextDep,Ut&&Ut.propDep||zt&&zt.propDep,function(vt,lr){var _r=vt.shared.shader,Br;Ut?Br=Ut.append(vt,lr):Br=lr.def(_r,\".\",ut);var Di;zt?Di=zt.append(vt,lr):Di=lr.def(_r,\".\",Ze);var ci=_r+\".program(\"+Di+\",\"+Br;return 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Ja=on.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=on.invoke(zn,Gi),Yo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=on.cond(ms).then(Yo,\"=\",ts,\".createStream(\",so,\");\").else(Yo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(on.cond(ms).then(ts,\".destroyStream(\",Yo,\");\")),on.ELEMENTS=Yo,Yo})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var vt=Dt();function lr(){if(Jt in st){var tn=st[Jt];return Bt.primitive=tn,kn(function(Oi,Gi){return Mn[tn]})}else if(Jt in It){var Ei=It[Jt];return Bn(Ei,function(Oi,Gi){var on=Oi.constants.primTypes,zn=Oi.invoke(Gi,Ei);return Gi.def(on,\"[\",zn,\"]\")})}else{if(_t)return Pn(vt)?vt.value?kn(function(Oi,Gi){return Gi.def(Oi.ELEMENTS,\".primType\")}):kn(function(){return Sl}):new Qr(vt.thisDep,vt.contextDep,vt.propDep,function(Oi,Gi){var on=Oi.ELEMENTS;return Gi.def(on,\"?\",on,\".primType:\",Sl)});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(Oi,Gi){return Gi.def(Oi.shared.vao+\".currentVAO?\"+Oi.shared.vao+\".currentVAO.primitive:\"+Sl)})}return null}function _r(tn,Ei){if(tn in st){var Oi=st[tn]|0;return Ei?Bt.offset=Oi:Bt.instances=Oi,kn(function(on,zn){return Ei&&(on.OFFSET=Oi),Oi})}else if(tn in It){var Gi=It[tn];return Bn(Gi,function(on,zn){var Ja=on.invoke(zn,Gi);return Ei&&(on.OFFSET=Ja),Ja})}else if(Ei){if(_t)return kn(function(on,zn){return on.OFFSET=0,0});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Br=_r(yr,!0);function Di(){if($t in st){var tn=st[$t]|0;return Bt.count=tn,kn(function(){return tn})}else if($t in It){var Ei=It[$t];return Bn(Ei,function(zn,Ja){var co=zn.invoke(Ja,Ei);return co})}else if(_t)if(Pn(vt)){if(vt)return Br?new Qr(Br.thisDep,Br.contextDep,Br.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):kn(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Oi=kn(function(){return-1});return Oi}else{var Gi=new Qr(vt.thisDep||Br.thisDep,vt.contextDep||Br.contextDep,vt.propDep||Br.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Ft){var on=new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return on}return null}var ci=lr(),bi=Di(),gn=_r(Cr,!1);return{elements:vt,primitive:ci,count:bi,instances:gn,offset:Br,vao:zt,vaoActive:Ft,elementsActive:_t,static:Bt}}function El(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return fi.forEach(function(Ft){var Ut=Ji(Ft);function zt(_t,Dt){if(Ft in st){var vt=_t(st[Ft]);Bt[Ut]=kn(function(){return vt})}else if(Ft in It){var lr=It[Ft];Bt[Ut]=Bn(lr,function(_r,Br){return Dt(_r,Br,_r.invoke(Br,lr))})}}switch(Ft){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Va:case rs:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case no:return zt(function(_t){return Wr[_t]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs;return Dt.def(lr,\"[\",vt,\"]\")});case ys:return zt(function(_t){return _t},function(_t,Dt,vt){var lr=Dt.def(\"+\",vt,\"[0]\"),_r=Dt.def(\"+\",vt,\"[1]\");return[lr,_r]});case Ls:return zt(function(_t){var Dt=\"srcRGB\"in _t?_t.srcRGB:_t.src,vt=\"srcAlpha\"in _t?_t.srcAlpha:_t.src,lr=\"dstRGB\"in _t?_t.dstRGB:_t.dst,_r=\"dstAlpha\"in _t?_t.dstAlpha:_t.dst;return[xi[Dt],xi[lr],xi[vt],xi[_r]]},function(_t,Dt,vt){var lr=_t.constants.blendFuncs;function _r(Ei,Oi){var Gi=Dt.def('\"',Ei,Oi,'\" in ',vt,\"?\",vt,\".\",Ei,Oi,\":\",vt,\".\",Ei);return Gi}var Br=_r(\"src\",\"RGB\"),Di=_r(\"dst\",\"RGB\"),ci=Dt.def(lr,\"[\",Br,\"]\"),bi=Dt.def(lr,\"[\",_r(\"src\",\"Alpha\"),\"]\"),gn=Dt.def(lr,\"[\",Di,\"]\"),tn=Dt.def(lr,\"[\",_r(\"dst\",\"Alpha\"),\"]\");return[ci,gn,bi,tn]});case Ws:return zt(function(_t){if(typeof _t==\"string\")return[yi[_t],yi[_t]];if(typeof _t==\"object\")return[yi[_t.rgb],yi[_t.alpha]]},function(_t,Dt,vt){var lr=_t.constants.blendEquations,_r=Dt.def(),Br=Dt.def(),Di=_t.cond(\"typeof \",vt,'===\"string\"');return Di.then(_r,\"=\",Br,\"=\",lr,\"[\",vt,\"];\"),Di.else(_r,\"=\",lr,\"[\",vt,\".rgb];\",Br,\"=\",lr,\"[\",vt,\".alpha];\"),Dt(Di),[_r,Br]});case ml:return zt(function(_t){return S(4,function(Dt){return+_t[Dt]})},function(_t,Dt,vt){return S(4,function(lr){return Dt.def(\"+\",vt,\"[\",lr,\"]\")})});case hc:return zt(function(_t){return _t|0},function(_t,Dt,vt){return Dt.def(vt,\"|0\")});case Ku:return zt(function(_t){var Dt=_t.cmp||\"keep\",vt=_t.ref||0,lr=\"mask\"in _t?_t.mask:-1;return[Wr[Dt],vt,lr]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs,_r=Dt.def('\"cmp\" in ',vt,\"?\",lr,\"[\",vt,\".cmp]\",\":\",ot),Br=Dt.def(vt,\".ref|0\"),Di=Dt.def('\"mask\" in ',vt,\"?\",vt,\".mask|0:-1\");return[_r,Br,Di]});case ue:case w:return zt(function(_t){var Dt=_t.fail||\"keep\",vt=_t.zfail||\"keep\",lr=_t.zpass||\"keep\";return[Ft===w?se:X,ii[Dt],ii[vt],ii[lr]]},function(_t,Dt,vt){var lr=_t.constants.stencilOps;function _r(Br){return Dt.def('\"',Br,'\" in ',vt,\"?\",lr,\"[\",vt,\".\",Br,\"]:\",ot)}return[Ft===w?se:X,_r(\"fail\"),_r(\"zfail\"),_r(\"zpass\")]});case xu:return zt(function(_t){var Dt=_t.factor|0,vt=_t.units|0;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def(vt,\".factor|0\"),_r=Dt.def(vt,\".units|0\");return[lr,_r]});case Yu:return zt(function(_t){var Dt=0;return _t===\"front\"?Dt=X:_t===\"back\"&&(Dt=se),Dt},function(_t,Dt,vt){return Dt.def(vt,'===\"front\"?',X,\":\",se)});case pu:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case Nc:return zt(function(_t){return di[_t]},function(_t,Dt,vt){return Dt.def(vt+'===\"cw\"?'+Te+\":\"+qe)});case Ql:return zt(function(_t){return _t.map(function(Dt){return!!Dt})},function(_t,Dt,vt){return S(4,function(lr){return\"!!\"+vt+\"[\"+lr+\"]\"})});case oo:return zt(function(_t){var Dt=\"value\"in _t?_t.value:1,vt=!!_t.invert;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def('\"value\" in ',vt,\"?+\",vt,\".value:1\"),_r=Dt.def(\"!!\",vt,\".invert\");return[lr,_r]})}}),Bt}function zo(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return Object.keys(st).forEach(function(Ft){var Ut=st[Ft],zt;if(typeof Ut==\"number\"||typeof Ut==\"boolean\")zt=kn(function(){return Ut});else if(typeof Ut==\"function\"){var _t=Ut._reglType;_t===\"texture2d\"||_t===\"textureCube\"?zt=kn(function(Dt){return Dt.link(Ut)}):(_t===\"framebuffer\"||_t===\"framebufferCube\")&&(zt=kn(function(Dt){return Dt.link(Ut.color[0])}))}else 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bi=Ut.divisor|0;_t.buffer=Dt,_t.state=La,_t.size=Br,_t.normalized=Di,_t.type=ci||Dt.dtype,_t.offset=lr,_t.stride=_r,_t.divisor=bi}}Bt[Ft]=kn(function(gn,tn){var Ei=gn.attribCache;if(zt in Ei)return Ei[zt];var Oi={isStream:!1};return Object.keys(_t).forEach(function(Gi){Oi[Gi]=_t[Gi]}),_t.buffer&&(Oi.buffer=gn.link(_t.buffer),Oi.type=Oi.type||Oi.buffer+\".dtype\"),Ei[zt]=Oi,Oi})}),Object.keys(It).forEach(function(Ft){var Ut=It[Ft];function zt(_t,Dt){var vt=_t.invoke(Dt,Ut),lr=_t.shared,_r=_t.constants,Br=lr.isBufferArgs,Di=lr.buffer,ci={isStream:Dt.def(!1)},bi=new Zr;bi.state=La,Object.keys(bi).forEach(function(Oi){ci[Oi]=Dt.def(\"\"+bi[Oi])});var gn=ci.buffer,tn=ci.type;Dt(\"if(\",Br,\"(\",vt,\")){\",ci.isStream,\"=true;\",gn,\"=\",Di,\".createStream(\",br,\",\",vt,\");\",tn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Di,\".getBuffer(\",vt,\");\",\"if(\",gn,\"){\",tn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',vt,\"){\",ci.state,\"=\",Ua,\";\",\"if(typeof \"+vt+'.constant === 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Ft==\"boolean\"?\"\"+Ft:Ut.link(Ft)})}),Object.keys(st).forEach(function(Bt){var Ft=st[Bt];It[Bt]=Bn(Ft,function(Ut,zt){return Ut.invoke(zt,Ft)})}),It}function Ul(Ne,$e,st,It,Bt){var Ft=Ne.static,Ut=Ne.dynamic,zt=is(Ne,$e),_t=sa(Ne,Bt),Dt=ba(Ne,_t,Bt),vt=Ga(Ne,Bt),lr=El(Ne,Bt),_r=Zs(Ne,Bt,zt);function Br(Ei){var Oi=Dt[Ei];Oi&&(lr[Ei]=Oi)}Br(ee),Br(Ji(Q));var Di=Object.keys(lr).length>0,ci={framebuffer:_t,draw:vt,shader:_r,state:lr,dirty:Di,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(ci.profile=ia(Ne,Bt),ci.uniforms=zo(st,Bt),ci.drawVAO=ci.scopeVAO=vt.vao,!ci.drawVAO&&_r.program&&!zt&&Ot.angle_instanced_arrays&&vt.static.elements){var bi=!0,gn=_r.program.attributes.map(function(Ei){var Oi=$e.static[Ei];return bi=bi&&!!Oi,Oi});if(bi&&gn.length>0){var tn=qi.getVAO(qi.createVAO({attributes:gn,elements:vt.static.elements}));ci.drawVAO=new Qr(null,null,null,function(Ei,Oi){return Ei.link(tn)}),ci.useVAO=!0}}return zt?ci.useVAO=!0:ci.attributes=Qs($e,Bt),ci.context=nl(It,Bt),ci}function ss(Ne,$e,st){var It=Ne.shared,Bt=It.context,Ft=Ne.scope();Object.keys(st).forEach(function(Ut){$e.save(Bt,\".\"+Ut);var zt=st[Ut],_t=zt.append(Ne,$e);Array.isArray(_t)?Ft(Bt,\".\",Ut,\"=[\",_t.join(),\"];\"):Ft(Bt,\".\",Ut,\"=\",_t,\";\")}),$e(Ft)}function Vs(Ne,$e,st,It){var Bt=Ne.shared,Ft=Bt.gl,Ut=Bt.framebuffer,zt;ui&&(zt=$e.def(Bt.extensions,\".webgl_draw_buffers\"));var _t=Ne.constants,Dt=_t.drawBuffer,vt=_t.backBuffer,lr;st?lr=st.append(Ne,$e):lr=$e.def(Ut,\".next\"),It||$e(\"if(\",lr,\"!==\",Ut,\".cur){\"),$e(\"if(\",lr,\"){\",Ft,\".bindFramebuffer(\",zr,\",\",lr,\".framebuffer);\"),ui&&$e(zt,\".drawBuffersWEBGL(\",Dt,\"[\",lr,\".colorAttachments.length]);\"),$e(\"}else{\",Ft,\".bindFramebuffer(\",zr,\",null);\"),ui&&$e(zt,\".drawBuffersWEBGL(\",vt,\");\"),$e(\"}\",Ut,\".cur=\",lr,\";\"),It||$e(\"}\")}function Ys(Ne,$e,st){var It=Ne.shared,Bt=It.gl,Ft=Ne.current,Ut=Ne.next,zt=It.current,_t=It.next,Dt=Ne.cond(zt,\".dirty\");fi.forEach(function(vt){var lr=Ji(vt);if(!(lr in st.state)){var _r,Br;if(lr in Ut){_r=Ut[lr],Br=Ft[lr];var Di=S(Zi[lr].length,function(bi){return Dt.def(_r,\"[\",bi,\"]\")});Dt(Ne.cond(Di.map(function(bi,gn){return bi+\"!==\"+Br+\"[\"+gn+\"]\"}).join(\"||\")).then(Bt,\".\",mn[lr],\"(\",Di,\");\",Di.map(function(bi,gn){return Br+\"[\"+gn+\"]=\"+bi}).join(\";\"),\";\"))}else{_r=Dt.def(_t,\".\",lr);var ci=Ne.cond(_r,\"!==\",zt,\".\",lr);Dt(ci),lr in si?ci(Ne.cond(_r).then(Bt,\".enable(\",si[lr],\");\").else(Bt,\".disable(\",si[lr],\");\"),zt,\".\",lr,\"=\",_r,\";\"):ci(Bt,\".\",mn[lr],\"(\",_r,\");\",zt,\".\",lr,\"=\",_r,\";\")}}}),Object.keys(st.state).length===0&&Dt(zt,\".dirty=false;\"),$e(Dt)}function wa(Ne,$e,st,It){var Bt=Ne.shared,Ft=Ne.current,Ut=Bt.current,zt=Bt.gl,_t;Ti(Object.keys(st)).forEach(function(Dt){var vt=st[Dt];if(!(It&&!It(vt))){var lr=vt.append(Ne,$e);if(si[Dt]){var 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i=t[n][0],a=i.trace,o=r._splomScenes[a.uid];a.type===\"splom\"&&o&&o.matrix&&yGt(e,a,o)}}function yGt(e,t,r){for(var n=r.matrixOptions.data.length,i=t._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],l=a[o]=new Array(4),u=jNe(e,t._diag[s][0]);u&&(l[0]=u.r2l(u.range[0]),l[2]=u.r2l(u.range[1]));var c=jNe(e,t._diag[s][1]);c&&(l[1]=c.r2l(c.range[0]),l[3]=c.r2l(c.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function IK(e){var t=e._fullLayout,r=t._glcanvas.data()[0].regl,n=t._splomGrid;n||(n=t._splomGrid=hGt(r)),n.update(_Gt(e))}function _Gt(e){var t=e._context.plotGlPixelRatio,r=e._fullLayout,n=r._size,i=[0,0,r.width*t,r.height*t],a={},o;function s(x,C,S,g,P,E){S*=t,g*=t,P*=t,E*=t;var z=C[x+\"color\"],q=C[x+\"width\"],V=String(z+q);V in a?a[V].data.push(NaN,NaN,S,g,P,E):a[V]={data:[S,g,P,E],join:\"rect\",thickness:q*t,color:z,viewport:i,range:i,overlay:!1}}for(o in r._splomSubplots){var l=r._plots[o],u=l.xaxis,c=l.yaxis,f=u._gridVals,h=c._gridVals,d=u._offset,v=u._length,m=c._length,b=n.b+c.domain[0]*n.h,p=-c._m,k=-p*c.r2l(c.range[0],c.calendar),M,T;if(u.showgrid)for(o=0;o<f.length;o++)M=d+u.l2p(f[o].x),s(\"grid\",u,M,b,M,b+m);if(c.showgrid)for(o=0;o<h.length;o++)T=b+k+p*h[o].x,s(\"grid\",c,d,T,d+v,T);WNe(e,u,c)&&(M=d+u.l2p(0),s(\"zeroline\",u,M,b,M,b+m)),WNe(e,c,u)&&(T=b+k+0,s(\"zeroline\",c,d,T,d+v,T))}var L=[];for(o in a)L.push(a[o]);return L}function xGt(e,t,r,n){var i={},a;if(n._splomScenes){for(a=0;a<e.length;a++){var o=e[a];o.type===\"splom\"&&(i[o.uid]=1)}for(a=0;a<r.length;a++){var s=r[a];if(!i[s.uid]){var l=n._splomScenes[s.uid];l&&l.destroy&&l.destroy(),n._splomScenes[s.uid]=null,delete n._splomScenes[s.uid]}}}Object.keys(n._splomScenes||{}).length===0&&delete n._splomScenes,n._splomGrid&&!t._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),Mx.clean(e,t,r,n)}YNe.exports={name:XNe,attr:Mx.attr,attrRegex:Mx.attrRegex,layoutAttributes:Mx.layoutAttributes,supplyLayoutDefaults:Mx.supplyLayoutDefaults,drawFramework:Mx.drawFramework,plot:gGt,drag:mGt,updateGrid:IK,clean:xGt,updateFx:Mx.updateFx,toSVG:Mx.toSVG,reglPrecompiled:ZNe}});var QNe=ye((yxr,$Ne)=>{\"use strict\";var JNe=HNe();JNe.basePlotModule=KNe(),$Ne.exports=JNe});var tUe=ye((_xr,eUe)=>{\"use strict\";eUe.exports=QNe()});var FK=ye((xxr,rUe)=>{\"use strict\";var bGt=Tu(),RK=Rd(),DK=ec(),wGt=Cc().attributes,Gz=Ao().extendFlat,TGt=vl().templatedArray;rUe.exports={domain:wGt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:DK({editType:\"plot\"}),tickfont:DK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:DK({editType:\"plot\"}),dimensions:TGt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:Gz({},RK.tickvals,{editType:\"plot\"}),ticktext:Gz({},RK.ticktext,{editType:\"plot\"}),tickformat:Gz({},RK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:Gz({editType:\"calc\"},bGt(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var Vk=ye((bxr,iUe)=>{\"use strict\";iUe.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}});var ay=ye((wxr,aUe)=>{\"use strict\";var AGt=$S();function nUe(e){return[e]}aUe.exports={keyFun:function(e){return e.key},repeat:nUe,descend:AGt,wrap:nUe,unwrap:function(e){return e[0]}}});var OK=ye((Txr,gUe)=>{\"use strict\";var Th=Vk(),im=Fa(),SGt=ay().keyFun,Hz=ay().repeat,E5=Pr().sorterAsc,MGt=Pr().strTranslate,oUe=Th.bar.snapRatio;function sUe(e,t){return e*(1-oUe)+t*oUe}var lUe=Th.bar.snapClose;function EGt(e,t){return e*(1-lUe)+t*lUe}function Wz(e,t,r,n){if(kGt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*EGt(l,h))return sUe(l,u);if(i*r<i*h||f===o)return sUe(h,l);u=l,l=h}}function kGt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function CGt(e){e.attr(\"x\",-Th.bar.captureWidth/2).attr(\"width\",Th.bar.captureWidth)}function LGt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function PGt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=uUe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function uUe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(E5)})}function IGt(e,t){var r=Th.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function cUe(){im.select(document.body).style(\"cursor\",null)}function qK(e){e.attr(\"stroke-dasharray\",PGt)}function jz(e,t){var r=im.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(Th.bar.snapDuration).each(\"end\",t):r;qK(n)}function fUe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=uUe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],m=IGt(v,t);m&&(a.interval=l[i],a.intervalPix=v,a.region=m)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,p=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var k=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(p>=k[0]&&p<=k[1]){a.clickableOrdinalRange=k;break}}}return a}function RGt(e,t){im.event.sourceEvent.stopPropagation();var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=fUe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-Th.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function hUe(e,t){im.event.sourceEvent.stopPropagation();var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(E5),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),jz(e.parentNode)}function DGt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(dUe(e,t),hUe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=im.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,cUe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&zK(r)):zK(r),i.brushCallback(t),jz(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[Wz(0,l,i.newExtent[0],i.stayingIntervals),Wz(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||zK(r),i.brushCallback(t),u?jz(e.parentNode,s):(s(),jz(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function dUe(e,t){var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=fUe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),im.select(document.body).style(\"cursor\",i)}function FGt(e){e.on(\"mousemove\",function(t){im.event.preventDefault(),t.parent.inBrushDrag||dUe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||cUe()}).call(im.behavior.drag().on(\"dragstart\",function(t){RGt(this,t)}).on(\"drag\",function(t){hUe(this,t)}).on(\"dragend\",function(t){DGt(this,t)}))}function vUe(e,t){return e[0]-t[0]}function zGt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(Hz);i.enter().append(\"rect\").classed(\"background\",!0).call(CGt).call(LGt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",MGt(0,Th.verticalPadding)),i.call(FGt).attr(\"height\",function(s){return s.height-Th.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(Hz);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-Th.bar.width/2).attr(\"stroke-width\",Th.bar.width+Th.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",Th.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(qK);var o=e.selectAll(\".highlight\").data(Hz);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-Th.bar.width/2).attr(\"stroke-width\",Th.bar.width-Th.bar.strokeWidth).attr(\"stroke\",Th.bar.fillColor).attr(\"opacity\",Th.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(qK)}function qGt(e,t,r){var n=e.selectAll(\".\"+Th.cn.axisBrush).data(Hz,SGt);n.enter().append(\"g\").classed(Th.cn.axisBrush,!0),zGt(n,t,r)}function OGt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function zK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function BGt(e){return function(r){var n=r.brush,i=OGt(n),a=i.slice();n.filter.set(a),e()}}function pUe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function NGt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(E5)}).sort(vUe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=pUe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function UGt(e,t,r,n,i,a){var o=NGt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:BGt(i),brushEndCallback:a}}}function VGt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(E5)}),t.multiselect?e=pUe(e.sort(vUe)):e=[e[0]]):e=[e.sort(E5)],t.tickvals){var r=t.tickvals.slice().sort(E5);if(e=e.map(function(n){var i=[Wz(0,r,n[0],[]),Wz(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}gUe.exports={makeBrush:UGt,ensureAxisBrush:qGt,cleanRanges:VGt}});var _Ue=ye((Axr,yUe)=>{\"use strict\";var Ex=Pr(),GGt=pv().hasColorscale,HGt=td(),jGt=Cc().defaults,WGt=Kd(),XGt=ho(),mUe=FK(),ZGt=OK(),BK=Vk().maxDimensionCount,YGt=zz();function KGt(e,t,r,n,i){var a=i(\"line.color\",r);if(GGt(e,\"line\")&&Ex.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),HGt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function JGt(e,t,r,n){function i(u,c){return Ex.coerce(e,t,mUe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},XGt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=ZGt.cleanRanges(l,t))}}yUe.exports=function(t,r,n,i){function a(c,f){return Ex.coerce(t,r,mUe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>BK&&(Ex.log(\"parcoords traces support up to \"+BK+\" dimensions at the moment\"),o.splice(BK));var s=WGt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:JGt}),l=KGt(t,r,n,i,a);jGt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),YGt(r,s,\"values\",l);var u=Ex.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});Ex.coerceFont(a,\"labelfont\",u),Ex.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),Ex.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var bUe=ye((Sxr,xUe)=>{\"use strict\";var $Gt=Pr().isArrayOrTypedArray,NK=tc(),QGt=ay().wrap;xUe.exports=function(t,r){var n,i;return NK.hasColorscale(r,\"line\")&&$Gt(r.line.color)?(n=r.line.color,i=NK.extractOpts(r.line).colorscale,NK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=eHt(r._length),i=[[0,r.line.color],[1,r.line.color]]),QGt({lineColor:n,cscale:i})};function eHt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});function tHt(e){var c,f;var t,r=[],n=1,i;if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(e=String(e).toLowerCase(),UK.default[e])r=UK.default[e].slice(),i=\"rgb\";else if(e===\"transparent\")n=0,i=\"rgb\",r=[0,0,0];else if(e[0]===\"#\"){var a=e.slice(1),o=a.length,s=o<=4;n=1,s?(r=[parseInt(a[0]+a[0],16),parseInt(a[1]+a[1],16),parseInt(a[2]+a[2],16)],o===4&&(n=parseInt(a[3]+a[3],16)/255)):(r=[parseInt(a[0]+a[1],16),parseInt(a[2]+a[3],16),parseInt(a[4]+a[5],16)],o===8&&(n=parseInt(a[6]+a[7],16)/255)),r[0]||(r[0]=0),r[1]||(r[1]=0),r[2]||(r[2]=0),i=\"rgb\"}else if(t=/^((?:rgba?|hs[lvb]a?|hwba?|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms|oklch|oklab|color))\\s*\\(([^\\)]*)\\)/.exec(e)){var l=t[1];i=l.replace(/a$/,\"\");var u=i===\"cmyk\"?4:i===\"gray\"?1:3;r=t[2].trim().split(/\\s*[,\\/]\\s*|\\s+/),i===\"color\"&&(i=r.shift()),r=r.map(function(h,d){if(h[h.length-1]===\"%\")return h=parseFloat(h)/100,d===3?h:i===\"rgb\"?h*255:i[0]===\"h\"||i[0]===\"l\"&&!d?h*100:i===\"lab\"?h*125:i===\"lch\"?d<2?h*150:h*360:i[0]===\"o\"&&!d?h:i===\"oklab\"?h*.4:i===\"oklch\"?d<2?h*.4:h*360:h;if(i[d]===\"h\"||d===2&&i[i.length-1]===\"h\"){if(wUe[h]!==void 0)return wUe[h];if(h.endsWith(\"deg\"))return parseFloat(h);if(h.endsWith(\"turn\"))return parseFloat(h)*360;if(h.endsWith(\"grad\"))return parseFloat(h)*360/400;if(h.endsWith(\"rad\"))return parseFloat(h)*180/Math.PI}return h===\"none\"?0:parseFloat(h)}),n=r.length>u?r.pop():1}else/[0-9](?:\\s|\\/|,)/.test(e)&&(r=e.match(/([0-9]+)/g).map(function(h){return parseFloat(h)}),i=((f=(c=e.match(/([a-z])/ig))==null?void 0:c.join(\"\"))==null?void 0:f.toLowerCase())||\"rgb\");return{space:i,values:r,alpha:n}}var UK,TUe,wUe,AUe=gu(()=>{UK=Rtt(MX(),1),TUe=tHt,wUe={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}});var Gk,VK=gu(()=>{Gk={name:\"rgb\",min:[0,0,0],max:[255,255,255],channel:[\"red\",\"green\",\"blue\"],alias:[\"RGB\"]}});var Xz,SUe=gu(()=>{VK();Xz={name:\"hsl\",min:[0,0,0],max:[360,100,100],channel:[\"hue\",\"saturation\",\"lightness\"],alias:[\"HSL\"],rgb:function(e){var t=e[0]/360,r=e[1]/100,n=e[2]/100,i,a,o,s,l,u=0;if(r===0)return l=n*255,[l,l,l];for(a=n<.5?n*(1+r):n+r-n*r,i=2*n-a,s=[0,0,0];u<3;)o=t+1/3*-(u-1),o<0?o++:o>1&&o--,l=6*o<1?i+(a-i)*6*o:2*o<1?a:3*o<2?i+(a-i)*(2/3-o)*6:i,s[u++]=l*255;return s}};Gk.hsl=function(e){var t=e[0]/255,r=e[1]/255,n=e[2]/255,i=Math.min(t,r,n),a=Math.max(t,r,n),o=a-i,s,l,u;return a===i?s=0:t===a?s=(r-n)/o:r===a?s=2+(n-t)/o:n===a&&(s=4+(t-r)/o),s=Math.min(s*60,360),s<0&&(s+=360),u=(i+a)/2,a===i?l=0:u<=.5?l=o/(a+i):l=o/(2-a-i),[s,l*100,u*100]}});var EUe={};bee(EUe,{default:()=>MUe});function MUe(e){Array.isArray(e)&&e.raw&&(e=String.raw(...arguments)),e instanceof Number&&(e=+e);var t,r,n,i=TUe(e);if(!i.space)return[];let a=i.space[0]===\"h\"?Xz.min:Gk.min,o=i.space[0]===\"h\"?Xz.max:Gk.max;return t=Array(3),t[0]=Math.min(Math.max(i.values[0],a[0]),o[0]),t[1]=Math.min(Math.max(i.values[1],a[1]),o[1]),t[2]=Math.min(Math.max(i.values[2],a[2]),o[2]),i.space[0]===\"h\"&&(t=Xz.rgb(t)),t.push(Math.min(Math.max(i.alpha,0),1)),t}var kUe=gu(()=>{AUe();VK();SUe()});var GK=ye(Zz=>{\"use strict\";var rHt=Pr().isTypedArray;Zz.convertTypedArray=function(e){return rHt(e)?Array.prototype.slice.call(e):e};Zz.isOrdinal=function(e){return!!e.tickvals};Zz.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var OUe=ye((Dxr,qUe)=>{\"use strict\";var iHt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(`\n",
+       "`),nHt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
+       "`),Hk=Vk().maxDimensionCount,DUe=Pr(),CUe=1e-6,Yz=2048,aHt=new Uint8Array(4),LUe=new Uint8Array(4),PUe={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function oHt(e){e.read({x:0,y:0,width:1,height:1,data:aHt})}function FUe(e,t,r,n,i){var a=e._gl;a.enable(a.SCISSOR_TEST),a.scissor(t,r,n,i),e.clear({color:[0,0,0,0],depth:1})}function sHt(e,t,r,n,i,a){var o=a.key;function s(l){var u=Math.min(n,i-l*n);l===0&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],FUe(e,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),!r.clearOnly&&(a.count=2*u,a.offset=2*l*n,t(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}r.drawCompleted||(oHt(e),r.drawCompleted=!0),s(0)}function lHt(e){return Math.max(CUe,Math.min(1-CUe,e))}function uHt(e,t){for(var r=new Array(256),n=0;n<256;n++)r[n]=e(n/255).concat(t);return r}function HK(e,t){return(e>>>8*t)%256/255}function cHt(e,t,r){for(var n=new Array(e*(Hk+4)),i=0,a=0;a<e;a++){for(var o=0;o<Hk;o++)n[i++]=o<t.length?t[o].paddedUnitValues[a]:.5;n[i++]=HK(a,2),n[i++]=HK(a,1),n[i++]=HK(a,0),n[i++]=lHt(r[a])}return n}function fHt(e,t,r){for(var n=new Array(t*8),i=0,a=0;a<t;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=e*4+s,u=r[a*64+l];l===63&&o===0&&(u*=-1),n[i++]=u}return n}function IUe(e){var t=\"0\"+e;return t.slice(-2)}function zUe(e){return e<Hk?\"p\"+IUe(e+1)+\"_\"+IUe(e+4):\"colors\"}function hHt(e,t,r){for(var n=0;n<=Hk;n+=4)e[zUe(n)](fHt(n/4,t,r))}function dHt(e){for(var t={},r=0;r<=Hk;r+=4)t[zUe(r)]=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return t}function vHt(e,t,r,n,i,a,o,s,l,u,c,f,h,d){for(var v=[[],[]],m=0;m<64;m++)v[0][m]=m===i?1:0,v[1][m]=m===a?1:0;o*=d,s*=d,l*=d,u*=d;var b=e.lines.canvasOverdrag*d,p=e.domain,k=e.canvasWidth*d,M=e.canvasHeight*d,T=e.pad.l*d,L=e.pad.b*d,x=e.layoutHeight*d,C=e.layoutWidth*d,S=e.deselectedLines.color,g=e.deselectedLines.opacity,P=DUe.extendFlat({key:c,resolution:[k,M],viewBoxPos:[o+b,s],viewBoxSize:[l,u],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:f,contextColor:[S[0]/255,S[1]/255,S[2]/255,g!==\"auto\"?S[3]*g:Math.max(1/255,Math.pow(1/e.lines.color.length,1/3))],scissorX:(n===t?0:o+b)+(T-b)+C*p.x[0],scissorWidth:(n===r?k-o+b:l+.5)+(n===t?o+b:0),scissorY:s+L+x*p.y[0],scissorHeight:u,viewportX:T-b+C*p.x[0],viewportY:L+x*p.y[0],viewportWidth:k,viewportHeight:M},h);return P}function RUe(e){var t=Yz-1,r=Math.max(0,Math.floor(e[0]*t),0),n=Math.min(t,Math.ceil(e[1]*t),t);return[Math.min(r,n),Math.max(r,n)]}qUe.exports=function(e,t){var r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=dHt(i),v,m=i.texture(PUe),b=[];k(t);var p=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!r,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:i.prop(\"scissorX\"),y:i.prop(\"scissorY\"),width:i.prop(\"scissorWidth\"),height:i.prop(\"scissorHeight\")}},viewport:{x:i.prop(\"viewportX\"),y:i.prop(\"viewportY\"),width:i.prop(\"viewportWidth\"),height:i.prop(\"viewportHeight\")},dither:!1,vert:iHt,frag:nHt,primitive:\"lines\",lineWidth:s,attributes:d,uniforms:{resolution:i.prop(\"resolution\"),viewBoxPos:i.prop(\"viewBoxPos\"),viewBoxSize:i.prop(\"viewBoxSize\"),dim0A:i.prop(\"dim0A\"),dim1A:i.prop(\"dim1A\"),dim0B:i.prop(\"dim0B\"),dim1B:i.prop(\"dim1B\"),dim0C:i.prop(\"dim0C\"),dim1C:i.prop(\"dim1C\"),dim0D:i.prop(\"dim0D\"),dim1D:i.prop(\"dim1D\"),loA:i.prop(\"loA\"),hiA:i.prop(\"hiA\"),loB:i.prop(\"loB\"),hiB:i.prop(\"hiB\"),loC:i.prop(\"loC\"),hiC:i.prop(\"hiC\"),loD:i.prop(\"loD\"),hiD:i.prop(\"hiD\"),palette:m,contextColor:i.prop(\"contextColor\"),maskTexture:i.prop(\"maskTexture\"),drwLayer:i.prop(\"drwLayer\"),maskHeight:i.prop(\"maskHeight\")},offset:i.prop(\"offset\"),count:i.prop(\"count\")});function k(S){u=S.model,c=S.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var g=u.lines,P=n?g.color.map(function(z,q){return q/g.color.length}):g.color,E=cHt(h,f,P);hHt(d,h,E),!r&&!n&&(m=i.texture(DUe.extendFlat({data:uHt(u.unitToColor,255)},PUe)))}function M(S){var g,P,E,z=[[],[]];for(E=0;E<64;E++){var q=!S&&E<f.length?f[E].brush.filter.getBounds():[-1/0,1/0];z[0][E]=q[0],z[1][E]=q[1]}var V=Yz*8,G=new Array(V);for(g=0;g<V;g++)G[g]=255;if(!S)for(g=0;g<f.length;g++){var Z=g%8,j=(g-Z)/8,N=Math.pow(2,Z),H=f[g],re=H.brush.filter.get();if(!(re.length<2)){var ae=RUe(re[0])[1];for(P=1;P<re.length;P++){var _e=RUe(re[P]);for(E=ae+1;E<_e[0];E++)G[E*8+j]&=~N;ae=Math.max(ae,_e[1])}}}var Ee={shape:[8,Yz],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:G};return 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i(\"line.colorscale\"),BHt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function jHt(e,t){function r(u,c){return C5.coerce(e,t,mVe.dimensions,u,c)}var n=r(\"values\"),i=r(\"visible\");if(n&&n.length||(i=t.visible=!1),i){r(\"label\"),r(\"displayindex\",t._index);var a=e.categoryarray,o=C5.isArrayOrTypedArray(a)&&a.length>0||GHt(a),s;o&&(s=\"array\");var l=r(\"categoryorder\",s);l===\"array\"?(r(\"categoryarray\"),r(\"ticktext\")):(delete e.categoryarray,delete e.ticktext),!o&&l===\"array\"&&(t.categoryorder=\"trace\")}}yVe.exports=function(t,r,n,i){function a(u,c){return C5.coerce(t,r,mVe,u,c)}var o=UHt(t,r,{name:\"dimensions\",handleItemDefaults:jHt}),s=HHt(t,r,n,i,a);NHt(r,i,a),(!Array.isArray(o)||!o.length)&&(r.visible=!1),VHt(r,o,\"values\",s),a(\"hoveron\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"arrangement\"),a(\"bundlecolors\"),a(\"sortpaths\"),a(\"counts\");var l=i.font;C5.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),C5.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var bVe=ye((Vxr,xVe)=>{\"use strict\";var WHt=ay().wrap,XHt=pv().hasColorscale,ZHt=gv(),YHt=aO(),KHt=So(),Wk=Pr(),JHt=Eo();xVe.exports=function(t,r){var n=Wk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(g){var P;if(g.categoryorder===\"trace\")P=null;else if(g.categoryorder===\"array\")P=g.categoryarray;else{P=YHt(g.values);for(var E=!0,z=0;z<P.length;z++)if(!JHt(P[z])){E=!1;break}P.sort(E?Wk.sorterAsc:void 0),g.categoryorder===\"category descending\"&&(P=P.reverse())}return njt(g.values,P)}),a,o,s;Wk.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],ajt(n),n.forEach(function(g,P){ojt(g,i[P])});var l=r.line,u;l?(XHt(r,\"line\")&&ZHt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=KHt.tryColorscale(l)):u=Wk.identity;function c(g){var P,E;return Wk.isArrayOrTypedArray(l.color)?(P=l.color[g%l.color.length],E=P):P=l.color,{color:u(P),rawColor:E}}var f=n[0].values.length,h={},d=i.map(function(g){return g.inds});s=0;var v,m;for(v=0;v<f;v++){var b=[];for(m=0;m<d.length;m++)b.push(d[m][v]);o=a[v%a.length],s+=o;var p=c(v),k=b+\"-\"+p.rawColor;h[k]===void 0&&(h[k]=rjt(b,p.color,p.rawColor)),ijt(h[k],v,o)}var M=n.map(function(g,P){return QHt(P,g._index,g._displayindex,g.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],m=0;m<M.length;m++){var T=M[m].containerInd,L=i[m].inds[v],x=M[m].categories;if(x[L]===void 0){var C=r.dimensions[T]._categoryarray[L],S=r.dimensions[T]._ticktext[L];x[L]=ejt(m,L,C,S)}tjt(x[L],v,o)}return WHt($Ht(M,h,s))};function $Ht(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function QHt(e,t,r,n,i){return{dimensionInd:e,containerInd:t,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}function ejt(e,t,r,n){return{dimensionInd:e,categoryInd:t,categoryValue:r,displayInd:t,categoryLabel:n,valueInds:[],count:0,dragY:null}}function tjt(e,t,r){e.valueInds.push(t),e.count+=r}function rjt(e,t,r){return{categoryInds:e,color:t,rawColor:r,valueInds:[],count:0}}function ijt(e,t,r){e.valueInds.push(t),e.count+=r}function njt(e,t){t==null?t=[]:t=t.map(function(u){return u});var r={},n={},i=[];t.forEach(function(u,c){r[u]=0,n[u]=c});for(var a=0;a<e.length;a++){var o=e[a],s;r[o]===void 0?(r[o]=1,s=t.push(o)-1,n[o]=s):(r[o]++,s=n[o]),i.push(s)}var l=t.map(function(u){return r[u]});return{uniqueValues:t,uniqueCounts:l,inds:i}}function ajt(e){var t=e.map(function(n){return n.displayindex}),r;if(sjt(t))for(r=0;r<e.length;r++)e[r]._displayindex=e[r].displayindex;else for(r=0;r<e.length;r++)e[r]._displayindex=r}function ojt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function sjt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var LVe=ye((Gxr,CVe)=>{\"use strict\";var Dl=Fa(),ljt=(W2(),gb(j2)).interpolateNumber,ujt=JP(),Yk=ef(),kx=Pr(),Xk=kx.strTranslate,wVe=So(),QK=fd(),cjt=Zl();function fjt(e,t,r,n){var i=t._context.staticPlot,a=e.map(Mjt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,m1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(k){return Xk(k.x,k.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(k){return k.paths},m1);c.attr(\"fill\",function(k){return k.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.model.color}).attr(\"fill-opacity\",0);rJ(f),c.attr(\"d\",function(k){return k.svgD}),f.empty()||c.sort(eJ),c.exit().remove(),c.on(\"mouseover\",hjt).on(\"mouseout\",djt).on(\"click\",vjt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(k){return k.dimensions},m1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(k){return Xk(k.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(k){return k.categories},m1),m=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(k){return Xk(0,k.y)}),m.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}),AVe(m);var b=v.selectAll(\"rect.bandrect\").data(function(k){return k.bands},m1);b.each(function(){kx.raiseToTop(this)}),b.attr(\"fill\",function(k){return k.color});var p=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(k){return k.color}).attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}).attr(\"y\",function(k){return k.y}).attr(\"cursor\",function(k){return 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k.width/2}).attr(\"y\",-5).text(function(k,M){return M===0?k.parcatsViewModel.model.dimensions[k.model.dimensionInd].dimensionLabel:null}).each(function(k){wVe.font(Dl.select(this),k.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",bjt).on(\"mouseout\",wjt),v.exit().remove(),d.call(Dl.behavior.drag().origin(function(k){return{x:k.x,y:0}}).on(\"dragstart\",Tjt).on(\"drag\",Ajt).on(\"dragend\",Sjt)),s.each(function(k){k.traceSelection=Dl.select(this),k.pathSelection=Dl.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),k.dimensionSelection=Dl.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}CVe.exports=function(e,t,r,n){fjt(r,e,n,t)};function m1(e){return e.key}function Zk(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function eJ(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function hjt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){kx.raiseToTop(this),iJ(Dl.select(this));var t=Kk(e),r=tJ(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:Dl.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=Dl.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,m=e.parcatsViewModel.y+c,b=QK.mostReadable(e.model.color,[\"black\",\"white\"]),p=e.model.count,k=p/e.parcatsViewModel.model.count,M={countLabel:p,probabilityLabel:k.toFixed(3)},T=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&T.push([\"Count:\",M.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&T.push([\"P:\",M.probabilityLabel].join(\" \"));var L=T.join(\"<br>\"),x=Dl.mouse(i)[0];Yk.loneHover({trace:a,x:v-s.left+l.left,y:m-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:x<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:a._input,fullData:a,count:p,probability:k}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function djt(e){if(!e.parcatsViewModel.dragDimension&&(rJ(Dl.select(this)),Yk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(eJ),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=Kk(e),r=tJ(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:Dl.event,constraints:r})}}function Kk(e){for(var t=[],r=MVe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function tJ(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function vjt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Kk(e),r=tJ(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:Dl.event,constraints:r})}}function rJ(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function iJ(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return QK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function pjt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function AVe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function gjt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function nJ(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function $z(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function mjt(e){var t=Dl.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=$z(r);iJ(n),n.each(function(){kx.raiseToTop(this)})}),pjt(Dl.select(e.parentNode))}function yjt(e){var t=Dl.select(e).datum(),r=$z(t);iJ(r),r.each(function(){kx.raiseToTop(this)}),Dl.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){kx.raiseToTop(this),gjt(Dl.select(this))})}function aJ(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Dl.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=$z(u);c.each(function(f){Array.prototype.push.apply(s,Kk(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function oJ(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=$z(n),s=[];o.each(function(u){Array.prototype.push.apply(s,Kk(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function SVe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=Dl.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,m=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,p={countLabel:v,categoryLabel:m,probabilityLabel:b.toFixed(3)},k=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&k.push([\"Count:\",p.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&k.push([\"P(\"+p.categoryLabel+\"):\",p.probabilityLabel].join(\" \"));var M=k.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:p,eventData:[{data:c._input,fullData:c,count:v,category:m,probability:b}]}}function _jt(e,t,r){var n=[];return Dl.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(SVe(e,t,i))}),n}function xjt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=Dl.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,m=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var p=s.model.count,k=0;l.pathSelection.each(function(P){P.model.color===o.color&&(k+=P.model.count)});var M=b/m,T=b/k,L=b/p,x={countLabel:b,categoryLabel:v,probabilityLabel:M.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",x.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(C.push(\"P(color \\u2229 \"+v+\"): \"+x.probabilityLabel),C.push(\"P(\"+v+\" | color): \"+T.toFixed(3)),C.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var S=C.join(\"<br>\"),g=QK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:S,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:g,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:x,eventData:[{data:c._input,fullData:c,category:v,count:m,probability:M,categorycount:p,colorcount:k,bandcolorcount:b}]}}function bjt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Dl.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(yjt(o),oJ(o,\"plotly_hover\",Dl.event)):(mjt(o),aJ(o,\"plotly_hover\",Dl.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=SVe(r,i,o):a===\"color\"?s=xjt(r,i,o):a===\"dimension\"&&(s=_jt(r,i,o)),s&&Yk.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function wjt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(rJ(t.pathSelection),AVe(t.dimensionSelection.selectAll(\"g.category\")),nJ(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),Yk.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(eJ),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?oJ(n,\"plotly_unhover\",Dl.event):aJ(n,\"plotly_unhover\",Dl.event)}}function Tjt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,Dl.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=Dl.mouse(this)[0],n=Dl.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,kx.raiseToTop(this.parentNode),Dl.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,Yk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function Ajt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=Dl.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=Dl.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}lJ(e.parcatsViewModel),sJ(e.parcatsViewModel),kVe(e.parcatsViewModel),EVe(e.parcatsViewModel)}}function Sjt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){Dl.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=MVe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?oJ(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent):aJ(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,lJ(e.parcatsViewModel),sJ(e.parcatsViewModel);var f=Dl.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){kVe(e.parcatsViewModel,!0),EVe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&ujt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function MVe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function EVe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},m1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function kVe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},m1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},m1);r(e.dimensionSelection).attr(\"transform\",function(l){return Xk(l.x,0)}),r(n).attr(\"transform\",function(l){return Xk(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return Zk(l)?\"start\":\"end\"}).attr(\"x\",function(l){return Zk(l)?l.width+5:-5}).each(function(l){var u,c;Zk(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),Dl.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},m1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),nJ(s),o.each(function(){kx.raiseToTop(this)}),o.exit().remove()}function Mjt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var m={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(lJ(m),sJ(m)),m}function TVe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=ljt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",l=r.length-2;l>=0;l--)u+=\"C\"+o[l]+\",\"+(t[l+1]+n)+\" \"+a[l]+\",\"+(t[l]+n)+\" \"+(e[l]+r[l])+\",\"+(t[l]+n),u+=\"l-\"+r[l]+\",0 \";return u+=\"Z\",u}function sJ(e){var t=e.dimensions,r=e.model,n=t.map(function(q){return q.categories.map(function(V){return V.y})}),i=e.model.dimensions.map(function(q){return q.categories.map(function(V){return V.displayInd})}),a=e.model.dimensions.map(function(q){return q.displayInd}),o=e.dimensions.map(function(q){return q.model.dimensionInd}),s=t.map(function(q){return q.x}),l=t.map(function(q){return q.width}),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(q){var V=q.categoryInds.map(function(Z,j){return i[j][Z]}),G=o.map(function(Z){return V[Z]});return G}u.sort(function(q,V){var G=f(q),Z=f(V);return e.sortpaths===\"backward\"&&(G.reverse(),Z.reverse()),G.push(q.valueInds[0]),Z.push(V.valueInds[0]),e.bundlecolors&&(G.unshift(q.rawColor),Z.unshift(V.rawColor)),G<Z?-1:G>Z?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(q){return q.height}).reduce(function(q,V){return q+V}),m=0;m<u.length;m++){var b=u[m],p;d>0?p=v*(b.count/d):p=0;for(var k=new Array(n.length),M=0;M<b.categoryInds.length;M++){var T=b.categoryInds[M],L=i[M][T],x=a[M];k[x]=n[x][L],n[x][L]+=p;var C=e.dimensions[x].categories[L],S=C.bands.length,g=C.bands[S-1];if(g===void 0||b.rawColor!==g.rawColor){var P=g===void 0?0:g.y+g.height;C.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:p,width:C.width,count:b.count,y:P,categoryViewModel:C,parcatsViewModel:e})}else{var E=C.bands[S-1];E.height+=p,E.count+=b.count}}var z;e.pathShape===\"hspline\"?z=TVe(s,k,l,p,.5):z=TVe(s,k,l,p,0),h[m]={key:b.valueInds[0],model:b,height:p,leftXs:s,topYs:k,dimWidths:l,svgD:z,parcatsViewModel:e}}e.paths=h}function lJ(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(Ejt(e,a))}e.dimensions=r}function Ejt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),m,b,p,k,M,T=(c-f)*h/2,L=t.categories.map(function(x){return{displayInd:x.displayInd,categoryInd:x.categoryInd}});for(L.sort(function(x,C){return x.displayInd-C.displayInd}),M=0;M<f;M++)k=L[M].categoryInd,b=t.categories[k],d>0?m=b.count/d*v:m=0,p={key:b.valueInds[0],model:b,width:n,height:m,y:b.dragY!==null?b.dragY:T,bands:[],parcatsViewModel:e},T=T+m+h,u.push(p);return{key:t.dimensionInd,x:t.dragX!==null?t.dragX:l,y:0,width:n,model:t,categories:u,parcatsViewModel:e,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}});var uJ=ye((Hxr,PVe)=>{\"use strict\";var kjt=LVe();PVe.exports=function(t,r,n,i){var a=t._fullLayout,o=a._paper,s=a._size;kjt(t,o,r,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},n,i)}});var RVe=ye(Qz=>{\"use strict\";var Cjt=Id().getModuleCalcData,Ljt=uJ(),IVe=\"parcats\";Qz.name=IVe;Qz.plot=function(e,t,r,n){var i=Cjt(e.calcdata,IVe);if(i.length){var a=i[0];Ljt(e,a,r,n)}};Qz.clean=function(e,t,r,n){var i=n._has&&n._has(\"parcats\"),a=t._has&&t._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}});var FVe=ye((Wxr,DVe)=>{\"use strict\";DVe.exports={attributes:$K(),supplyDefaults:_Ve(),calc:bVe(),plot:uJ(),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:RVe(),categories:[\"noOpacity\"],meta:{}}});var qVe=ye((Xxr,zVe)=>{\"use strict\";zVe.exports=FVe()});var y1=ye((Zxr,HVe)=>{\"use strict\";var Pjt=r_(),OVe=\"1.13.4\",VVe='\\xA9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',BVe=['\\xA9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',VVe].join(\" \"),NVe=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a 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custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install @plotly/mapbox-gl@\"+OVe+\".\"].join(`\n",
+       "`),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(`\n",
+       "`),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",UVe.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(`\n",
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fJ=ye((Jxr,QVe)=>{\"use strict\";var Wjt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];QVe.exports={isSupportedFont:function(e){return Wjt.indexOf(e)!==-1}}});var rGe=ye(($xr,tGe)=>{\"use strict\";var Qk=Pr(),hJ=Ru(),Xjt=$p(),Zjt=D0(),Yjt=F0(),Kjt=Fg(),eGe=e7(),Jjt=fJ().isSupportedFont;tGe.exports=function(t,r,n,i){function a(p,k){return Qk.coerce(t,r,eGe,p,k)}function o(p,k){return Qk.coerce2(t,r,eGe,p,k)}var s=$jt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),hJ.hasMarkers(r)){Xjt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Qk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Qk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}hJ.hasLines(r)&&(Zjt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,m=a(\"cluster.enabled\",v);if(m||hJ.hasText(r)){var 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vGe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:I5+t+\"-fill\",line:I5+t+\"-line\",circle:I5+t+\"-circle\",symbol:I5+t+\"-symbol\",cluster:I5+t+\"-cluster\",clusterCount:I5+t+\"-cluster-count\"},this.below=null}var eC=vGe.prototype;eC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&uWt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};eC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};eC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};eC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=dGe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(M){M||u.addSource(\"circle\",a.circle,r.cluster);for(var T=ng.cluster,L=0;L<T.length;L++){var x=T[L],C=a[x];u.addLayer(x,C,o)}}function f(M){for(var T=ng.cluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x])}M||i.removeSource(u.sourceIds.circle)}function h(M){for(var T=ng.nonCluster,L=0;L<T.length;L++){var x=T[L],C=a[x];M||u.addSource(x,C),u.addLayer(x,C,o)}}function d(M){for(var T=ng.nonCluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x]),M||i.removeSource(u.sourceIds[x])}}function v(M){l?f(M):d(M)}function m(M){s?c(M):h(M)}function b(){for(var M=s?ng.cluster:ng.nonCluster,T=0;T<M.length;T++){var L=M[T],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||m():l!==s?(v(),m()):(this.below!==o&&(v(!0),m(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};eC.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?ng.cluster:ng.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};pGe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new vGe(t,n.uid,i,a),s=dGe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<ng.cluster.length;u++)c=ng.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<ng.nonCluster.length;u++)c=ng.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var a7=ye((ibr,yGe)=>{\"use strict\";var cWt=ef(),mJ=Pr(),fWt=xT(),hWt=mJ.fillText,dWt=fs().BADNUM,vWt=y1().traceLayerPrefix;function pWt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=vWt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(S){return S.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function m(S){var g=S.lonlat;if(g[0]===dWt||c&&l.indexOf(S.i+1)===-1)return 1/0;var P=mJ.modHalf(g[0],360),E=g[1],z=s.project([P,E]),q=z.x-a.c2p([v,E]),V=z.y-o.c2p([P,r]),G=Math.max(3,S.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-G,1-3/G)}if(cWt.getClosest(n,m,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[mJ.modHalf(p[0],360)+d,p[1]],M=a.c2p(k),T=o.c2p(k),L=b.mrc||1;e.x0=M-L,e.x1=M+L,e.y0=T-L,e.y1=T+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=fWt(i,b),e.extraText=mGe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function mGe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&hWt(t,e,u),u.join(\"<br>\")}yGe.exports={hoverPoints:pWt,getExtraText:mGe}});var xGe=ye((nbr,_Ge)=>{\"use strict\";_Ge.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var wGe=ye((abr,bGe)=>{\"use strict\";var gWt=Pr(),mWt=Ru(),yWt=fs().BADNUM;bGe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!mWt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==yWt){var f=[gWt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var xJ=ye((yJ,_J)=>{(function(e,t){typeof yJ==\"object\"&&typeof _J!=\"undefined\"?_J.exports=t():(e=e||self,e.mapboxgl=t())})(yJ,(function(){\"use strict\";var e,t,r;function n(i,a){if(!e)e=a;else if(!t)t=a;else{var o=\"var sharedChunk = {}; (\"+e+\")(sharedChunk); (\"+t+\")(sharedChunk);\",s={};e(s),r=a(s),typeof window!=\"undefined\"&&(r.workerUrl=window.URL.createObjectURL(new Blob([o],{type:\"text/javascript\"})))}}return n([\"exports\"],function(i){\"use strict\";function a(y,_){return _={exports:{}},y(_,_.exports),_.exports}var o=\"1.13.4\",s=l;function 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it=_;it<I;it++)this.paintVertexArray.emplace(it,U,$);this.maxValue=Math.max(this.maxValue,Math.abs(U),Math.abs($))}},_r.prototype.upload=function(_){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=_.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},_r.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},_r.prototype.setUniform=function(_,I){var U=this.useIntegerZoom?Math.floor(I.zoom):I.zoom,$=p(this.expression.interpolationFactor(U,this.zoom,this.zoom+1),0,1);_.set($)},_r.prototype.getBinding=function(_,I,U){return new $e(_,I)};var Br=function(_,I,U,$,oe,he){this.expression=_,this.type=I,this.useIntegerZoom=U,this.zoom=$,this.layerId=he,this.zoomInPaintVertexArray=new oe,this.zoomOutPaintVertexArray=new 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sr=_;sr<I;sr++)this.zoomInPaintVertexArray.emplace(sr,yt.tl[0],yt.tl[1],yt.br[0],yt.br[1],it.tl[0],it.tl[1],it.br[0],it.br[1],yt.pixelRatio,it.pixelRatio),this.zoomOutPaintVertexArray.emplace(sr,yt.tl[0],yt.tl[1],yt.br[0],yt.br[1],Lt.tl[0],Lt.tl[1],Lt.br[0],Lt.br[1],yt.pixelRatio,Lt.pixelRatio)}},Br.prototype.upload=function(_){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=_.createVertexBuffer(this.zoomInPaintVertexArray,D.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=_.createVertexBuffer(this.zoomOutPaintVertexArray,D.members,this.expression.isStateDependent))},Br.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Di=function(_,I,U){this.binders={},this._buffers=[];var $=[];for(var oe in 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it=oe[De],yt=oe[De+1],Lt=he[De],sr=he[De+1],gr=[it,yt,sr,Lt,it];so(I,gr)&&(U=Math.min(U,SS(I,gr)))}return U===1/0?!1:U}function MS(y,_,I,U){for(var $=[],oe=[],he=U[8]*_,De=U[9]*_,it=U[10]*_,yt=U[11]*_,Lt=U[8]*I,sr=U[9]*I,gr=U[10]*I,hr=U[11]*I,Rr=0,ni=y;Rr<ni.length;Rr+=1){for(var ji=ni[Rr],wi=[],bn=[],rn=0,xn=ji;rn<xn.length;rn+=1){var In=xn[rn],Xn=In.x,ga=In.y,ha=U[0]*Xn+U[4]*ga+U[12],eo=U[1]*Xn+U[5]*ga+U[13],qa=U[2]*Xn+U[6]*ga+U[14],Za=U[3]*Xn+U[7]*ga+U[15],Jo=ha+he,to=eo+De,ao=qa+it,_s=Za+yt,jo=ha+Lt,kl=eo+sr,Iu=qa+gr,Cl=Za+hr,Ll=new u(Jo/_s,to/_s);Ll.z=ao/_s,wi.push(Ll);var yl=new u(jo/Cl,kl/Cl);yl.z=Iu/Cl,bn.push(yl)}$.push(wi),oe.push(bn)}return[$,oe]}function fq(y,_,I,U){for(var $=[],oe=0,he=y;oe<he.length;oe+=1){var De=he[oe],it=[De.x,De.y,U,1];my(it,it,_),$.push(new u(it[0]/it[3],it[1]/it[3]))}return $}var 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U.id})};sh.prototype.populate=function(_,I,U){this.hasPattern=Jw(\"line\",this.layers,I);for(var $=this.layers[0].layout.get(\"line-sort-key\"),oe=[],he=0,De=_;he<De.length;he+=1){var it=De[he],yt=it.feature,Lt=it.id,sr=it.index,gr=it.sourceLayerIndex,hr=this.layers[0]._featureFilter.needGeometry,Rr=Ja(yt,hr);if(this.layers[0]._featureFilter.filter(new Un(this.zoom),Rr,U)){var ni=$?$.evaluate(Rr,{},U):void 0,ji={id:Lt,properties:yt.properties,type:yt.type,sourceLayerIndex:gr,index:sr,geometry:hr?Rr.geometry:zn(yt),patterns:{},sortKey:ni};oe.push(ji)}}$&&oe.sort(function(qa,Za){return qa.sortKey-Za.sortKey});for(var wi=0,bn=oe;wi<bn.length;wi+=1){var rn=bn[wi],xn=rn,In=xn.geometry,Xn=xn.index,ga=xn.sourceLayerIndex;if(this.hasPattern){var ha=sb(\"line\",this.layers,rn,this.zoom,I);this.patternFeatures.push(ha)}else this.addFeature(rn,In,Xn,U,{});var eo=_[Xn].feature;I.featureIndex.insert(eo,In,Xn,ga,this.index)}},sh.prototype.update=function(_,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(_,I,this.stateDependentLayers,U)},sh.prototype.addFeatures=function(_,I,U){for(var $=0,oe=this.patternFeatures;$<oe.length;$+=1){var he=oe[$];this.addFeature(he,he.geometry,he.index,I,U)}},sh.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},sh.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},sh.prototype.upload=function(_){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=_.createVertexBuffer(this.layoutVertexArray2,r6)),this.layoutVertexBuffer=_.createVertexBuffer(this.layoutVertexArray,t6),this.indexBuffer=_.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(_),this.uploaded=!0},sh.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},sh.prototype.lineFeatureClips=function(_){if(_.properties&&_.properties.hasOwnProperty(\"mapbox_clip_start\")&&_.properties.hasOwnProperty(\"mapbox_clip_end\")){var I=+_.properties.mapbox_clip_start,U=+_.properties.mapbox_clip_end;return{start:I,end:U}}},sh.prototype.addFeature=function(_,I,U,$,oe){var he=this.layers[0].layout,De=he.get(\"line-join\").evaluate(_,{}),it=he.get(\"line-cap\"),yt=he.get(\"line-miter-limit\"),Lt=he.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(_);for(var sr=0,gr=I;sr<gr.length;sr+=1){var hr=gr[sr];this.addLine(hr,_,De,it,yt,Lt)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,_,U,oe,$)},sh.prototype.addLine=function(_,I,U,$,oe,he){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var De=0;De<_.length-1;De++)this.totalDistance+=_[De].dist(_[De+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var it=ES[I.type]===\"Polygon\",yt=_.length;yt>=2&&_[yt-1].equals(_[yt-2]);)yt--;for(var Lt=0;Lt<yt-1&&_[Lt].equals(_[Lt+1]);)Lt++;if(!(yt<(it?3:2))){U===\"bevel\"&&(oe=1.05);var sr=this.overscaling<=16?cb*Ei/(512*this.overscaling):0,gr=this.segments.prepareSegment(yt*10,this.layoutVertexArray,this.indexArray),hr,Rr=void 0,ni=void 0,ji=void 0,wi=void 0;this.e1=this.e2=-1,it&&(hr=_[yt-2],wi=_[Lt].sub(hr)._unit()._perp());for(var bn=Lt;bn<yt;bn++)if(ni=bn===yt-1?it?_[Lt+1]:void 0:_[bn+1],!(ni&&_[bn].equals(ni))){wi&&(ji=wi),hr&&(Rr=hr),hr=_[bn],wi=ni?ni.sub(hr)._unit()._perp():ji,ji=ji||wi;var rn=ji.add(wi);(rn.x!==0||rn.y!==0)&&rn._unit();var xn=ji.x*wi.x+ji.y*wi.y,In=rn.x*wi.x+rn.y*wi.y,Xn=In!==0?1/In:1/0,ga=2*Math.sqrt(2-2*In),ha=In<i6&&Rr&&ni,eo=ji.x*wi.y-ji.y*wi.x>0;if(ha&&bn>Lt){var qa=hr.dist(Rr);if(qa>2*sr){var Za=hr.sub(hr.sub(Rr)._mult(sr/qa)._round());this.updateDistance(Rr,Za),this.addCurrentVertex(Za,ji,0,0,gr),Rr=Za}}var 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ni=De.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,ni),De.primitiveLength++),oe?this.e2=ni:this.e1=ni},sh.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},sh.prototype.updateDistance=function(_,I){this.distance+=_.dist(I),this.updateScaledDistance()},X(\"LineBucket\",sh,{omit:[\"layers\",\"patternFeatures\"]});var CS=new Or({\"line-cap\":new Me(Rn.layout_line[\"line-cap\"]),\"line-join\":new bt(Rn.layout_line[\"line-join\"]),\"line-miter-limit\":new Me(Rn.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Me(Rn.layout_line[\"line-round-limit\"]),\"line-sort-key\":new bt(Rn.layout_line[\"line-sort-key\"])}),LS=new Or({\"line-opacity\":new bt(Rn.paint_line[\"line-opacity\"]),\"line-color\":new bt(Rn.paint_line[\"line-color\"]),\"line-translate\":new 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y.push(this.readBoolean());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readBoolean());return y},readPackedFloat:function(y){if(this.type!==la.Bytes)return y.push(this.readFloat());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFloat());return y},readPackedDouble:function(y){if(this.type!==la.Bytes)return y.push(this.readDouble());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readDouble());return y},readPackedFixed32:function(y){if(this.type!==la.Bytes)return y.push(this.readFixed32());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFixed32());return y},readPackedSFixed32:function(y){if(this.type!==la.Bytes)return y.push(this.readSFixed32());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readSFixed32());return y},readPackedFixed64:function(y){if(this.type!==la.Bytes)return y.push(this.readFixed64());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFixed64());return y},readPackedSFixed64:function(y){if(this.type!==la.Bytes)return y.push(this.readSFixed64());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readSFixed64());return y},skip:function(y){var _=y&7;if(_===la.Varint)for(;this.buf[this.pos++]>127;);else if(_===la.Bytes)this.pos=this.readVarint()+this.pos;else if(_===la.Fixed32)this.pos+=4;else if(_===la.Fixed64)this.pos+=8;else throw new Error(\"Unimplemented type: \"+_)},writeTag:function(y,_){this.writeVarint(y<<3|_)},realloc:function(y){for(var _=this.length||16;_<this.pos+y;)_*=2;if(_!==this.length){var I=new Uint8Array(_);I.set(this.buf),this.buf=I,this.length=_}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(y){this.realloc(4),Df(this.buf,y,this.pos),this.pos+=4},writeSFixed32:function(y){this.realloc(4),Df(this.buf,y,this.pos),this.pos+=4},writeFixed64:function(y){this.realloc(8),Df(this.buf,y&-1,this.pos),Df(this.buf,Math.floor(y*fo),this.pos+4),this.pos+=8},writeSFixed64:function(y){this.realloc(8),Df(this.buf,y&-1,this.pos),Df(this.buf,Math.floor(y*fo),this.pos+4),this.pos+=8},writeVarint:function(y){if(y=+y||0,y>268435455||y<0){Ju(y,this);return}this.realloc(4),this.buf[this.pos++]=y&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=(y>>>=7)&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=(y>>>=7)&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=y>>>7&127)))},writeSVarint:function(y){this.writeVarint(y<0?-y*2-1:y*2)},writeBoolean:function(y){this.writeVarint(!!y)},writeString:function(y){y=String(y),this.realloc(y.length*4),this.pos++;var _=this.pos;this.pos=pc(this.buf,y,this.pos);var I=this.pos-_;I>=128&&Qv(_,I,this),this.pos=_-1,this.writeVarint(I),this.pos+=I},writeFloat:function(y){this.realloc(4),Vo.write(this.buf,y,this.pos,!0,23,4),this.pos+=4},writeDouble:function(y){this.realloc(8),Vo.write(this.buf,y,this.pos,!0,52,8),this.pos+=8},writeBytes:function(y){var _=y.length;this.writeVarint(_),this.realloc(_);for(var I=0;I<_;I++)this.buf[this.pos++]=y[I]},writeRawMessage:function(y,_){this.pos++;var I=this.pos;y(_,this);var U=this.pos-I;U>=128&&Qv(I,U,this),this.pos=I-1,this.writeVarint(U),this.pos+=U},writeMessage:function(y,_,I){this.writeTag(y,la.Bytes),this.writeRawMessage(_,I)},writePackedVarint:function(y,_){_.length&&this.writeMessage(y,ud,_)},writePackedSVarint:function(y,_){_.length&&this.writeMessage(y,Ch,_)},writePackedBoolean:function(y,_){_.length&&this.writeMessage(y,jd,_)},writePackedFloat:function(y,_){_.length&&this.writeMessage(y,Gd,_)},writePackedDouble:function(y,_){_.length&&this.writeMessage(y,Hd,_)},writePackedFixed32:function(y,_){_.length&&this.writeMessage(y,Af,_)},writePackedSFixed32:function(y,_){_.length&&this.writeMessage(y,Lh,_)},writePackedFixed64:function(y,_){_.length&&this.writeMessage(y,Ed,_)},writePackedSFixed64:function(y,_){_.length&&this.writeMessage(y,cd,_)},writeBytesField:function(y,_){this.writeTag(y,la.Bytes),this.writeBytes(_)},writeFixed32Field:function(y,_){this.writeTag(y,la.Fixed32),this.writeFixed32(_)},writeSFixed32Field:function(y,_){this.writeTag(y,la.Fixed32),this.writeSFixed32(_)},writeFixed64Field:function(y,_){this.writeTag(y,la.Fixed64),this.writeFixed64(_)},writeSFixed64Field:function(y,_){this.writeTag(y,la.Fixed64),this.writeSFixed64(_)},writeVarintField:function(y,_){this.writeTag(y,la.Varint),this.writeVarint(_)},writeSVarintField:function(y,_){this.writeTag(y,la.Varint),this.writeSVarint(_)},writeStringField:function(y,_){this.writeTag(y,la.Bytes),this.writeString(_)},writeFloatField:function(y,_){this.writeTag(y,la.Fixed32),this.writeFloat(_)},writeDoubleField:function(y,_){this.writeTag(y,la.Fixed64),this.writeDouble(_)},writeBooleanField:function(y,_){this.writeVarintField(y,!!_)}};function Ro(y,_,I){var U=I.buf,$,oe;if(oe=U[I.pos++],$=(oe&112)>>4,oe<128||(oe=U[I.pos++],$|=(oe&127)<<3,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<10,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<17,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<24,oe<128)||(oe=U[I.pos++],$|=(oe&1)<<31,oe<128))return $o(y,$,_);throw new Error(\"Expected varint not more than 10 bytes\")}function uo(y){return y.type===la.Bytes?y.readVarint()+y.pos:y.pos+1}function $o(y,_,I){return I?_*4294967296+(y>>>0):(_>>>0)*4294967296+(y>>>0)}function Ju(y,_){var I,U;if(y>=0?(I=y%4294967296|0,U=y/4294967296|0):(I=~(-y%4294967296),U=~(-y/4294967296),I^4294967295?I=I+1|0:(I=0,U=U+1|0)),y>=18446744073709552e3||y<-18446744073709552e3)throw new Error(\"Given varint doesn't fit into 10 bytes\");_.realloc(10),Ou(I,U,_),kh(U,_)}function Ou(y,_,I){I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos]=y&127}function kh(y,_){var I=(y&7)<<4;_.buf[_.pos++]|=I|((y>>>=3)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127)))))}function Qv(y,_,I){var U=_<=16383?1:_<=2097151?2:_<=268435455?3:Math.floor(Math.log(_)/(Math.LN2*7));I.realloc(U);for(var $=I.pos-1;$>=y;$--)I.buf[$+U]=I.buf[$]}function ud(y,_){for(var I=0;I<y.length;I++)_.writeVarint(y[I])}function Ch(y,_){for(var I=0;I<y.length;I++)_.writeSVarint(y[I])}function Gd(y,_){for(var I=0;I<y.length;I++)_.writeFloat(y[I])}function Hd(y,_){for(var I=0;I<y.length;I++)_.writeDouble(y[I])}function jd(y,_){for(var I=0;I<y.length;I++)_.writeBoolean(y[I])}function Af(y,_){for(var I=0;I<y.length;I++)_.writeFixed32(y[I])}function Lh(y,_){for(var I=0;I<y.length;I++)_.writeSFixed32(y[I])}function Ed(y,_){for(var I=0;I<y.length;I++)_.writeFixed64(y[I])}function cd(y,_){for(var I=0;I<y.length;I++)_.writeSFixed64(y[I])}function Yh(y,_){return(y[_]|y[_+1]<<8|y[_+2]<<16)+y[_+3]*16777216}function Df(y,_,I){y[I]=_,y[I+1]=_>>>8,y[I+2]=_>>>16,y[I+3]=_>>>24}function Fv(y,_){return(y[_]|y[_+1]<<8|y[_+2]<<16)+(y[_+3]<<24)}function uv(y,_,I){for(var U=\"\",$=_;$<I;){var oe=y[$],he=null,De=oe>239?4:oe>223?3:oe>191?2:1;if($+De>I)break;var it,yt,Lt;De===1?oe<128&&(he=oe):De===2?(it=y[$+1],(it&192)===128&&(he=(oe&31)<<6|it&63,he<=127&&(he=null))):De===3?(it=y[$+1],yt=y[$+2],(it&192)===128&&(yt&192)===128&&(he=(oe&15)<<12|(it&63)<<6|yt&63,(he<=2047||he>=55296&&he<=57343)&&(he=null))):De===4&&(it=y[$+1],yt=y[$+2],Lt=y[$+3],(it&192)===128&&(yt&192)===128&&(Lt&192)===128&&(he=(oe&15)<<18|(it&63)<<12|(yt&63)<<6|Lt&63,(he<=65535||he>=1114112)&&(he=null))),he===null?(he=65533,De=1):he>65535&&(he-=65536,U+=String.fromCharCode(he>>>10&1023|55296),he=56320|he&1023),U+=String.fromCharCode(he),$+=De}return U}function ru(y,_,I){return Wn.decode(y.subarray(_,I))}function pc(y,_,I){for(var U=0,$,oe;U<_.length;U++){if($=_.charCodeAt(U),$>55295&&$<57344)if(oe)if($<56320){y[I++]=239,y[I++]=191,y[I++]=189,oe=$;continue}else $=oe-55296<<10|$-56320|65536,oe=null;else{$>56319||U+1===_.length?(y[I++]=239,y[I++]=191,y[I++]=189):oe=$;continue}else oe&&(y[I++]=239,y[I++]=191,y[I++]=189,oe=null);$<128?y[I++]=$:($<2048?y[I++]=$>>6|192:($<65536?y[I++]=$>>12|224:(y[I++]=$>>18|240,y[I++]=$>>12&63|128),y[I++]=$>>6&63|128),y[I++]=$&63|128)}return I}var $u=3;function zv(y,_,I){y===1&&I.readMessage(hf,_)}function hf(y,_,I){if(y===3){var U=I.readMessage(B1,{}),$=U.id,oe=U.bitmap,he=U.width,De=U.height,it=U.left,yt=U.top,Lt=U.advance;_.push({id:$,bitmap:new Dv({width:he+2*$u,height:De+2*$u},oe),metrics:{width:he,height:De,left:it,top:yt,advance:Lt}})}}function B1(y,_,I){y===1?_.id=I.readVarint():y===2?_.bitmap=I.readBytes():y===3?_.width=I.readVarint():y===4?_.height=I.readVarint():y===5?_.left=I.readSVarint():y===6?_.top=I.readSVarint():y===7&&(_.advance=I.readVarint())}function p0(y){return new Xa(y).readFields(zv,[])}var Gp=$u;function ep(y){for(var _=0,I=0,U=0,$=y;U<$.length;U+=1){var oe=$[U];_+=oe.w*oe.h,I=Math.max(I,oe.w)}y.sort(function(ji,wi){return wi.h-ji.h});for(var he=Math.max(Math.ceil(Math.sqrt(_/.95)),I),De=[{x:0,y:0,w:he,h:1/0}],it=0,yt=0,Lt=0,sr=y;Lt<sr.length;Lt+=1)for(var gr=sr[Lt],hr=De.length-1;hr>=0;hr--){var Rr=De[hr];if(!(gr.w>Rr.w||gr.h>Rr.h)){if(gr.x=Rr.x,gr.y=Rr.y,yt=Math.max(yt,gr.y+gr.h),it=Math.max(it,gr.x+gr.w),gr.w===Rr.w&&gr.h===Rr.h){var ni=De.pop();hr<De.length&&(De[hr]=ni)}else gr.h===Rr.h?(Rr.x+=gr.w,Rr.w-=gr.w):gr.w===Rr.w?(Rr.y+=gr.h,Rr.h-=gr.h):(De.push({x:Rr.x+gr.w,y:Rr.y,w:Rr.w-gr.w,h:gr.h}),Rr.y+=gr.h,Rr.h-=gr.h);break}}return{w:it,h:yt,fill:_/(it*yt)||0}}var Gc=1,Yf=function(_,I){var U=I.pixelRatio,$=I.version,oe=I.stretchX,he=I.stretchY,De=I.content;this.paddedRect=_,this.pixelRatio=U,this.stretchX=oe,this.stretchY=he,this.content=De,this.version=$},tp={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};tp.tl.get=function(){return[this.paddedRect.x+Gc,this.paddedRect.y+Gc]},tp.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-Gc,this.paddedRect.y+this.paddedRect.h-Gc]},tp.tlbr.get=function(){return this.tl.concat(this.br)},tp.displaySize.get=function(){return[(this.paddedRect.w-Gc*2)/this.pixelRatio,(this.paddedRect.h-Gc*2)/this.pixelRatio]},Object.defineProperties(Yf.prototype,tp);var yg=function(_,I){var U={},$={};this.haveRenderCallbacks=[];var oe=[];this.addImages(_,U,oe),this.addImages(I,$,oe);var he=ep(oe),De=he.w,it=he.h,yt=new Eh({width:De||1,height:it||1});for(var Lt in _){var sr=_[Lt],gr=U[Lt].paddedRect;Eh.copy(sr.data,yt,{x:0,y:0},{x:gr.x+Gc,y:gr.y+Gc},sr.data)}for(var hr in I){var Rr=I[hr],ni=$[hr].paddedRect,ji=ni.x+Gc,wi=ni.y+Gc,bn=Rr.data.width,rn=Rr.data.height;Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji,y:wi},Rr.data),Eh.copy(Rr.data,yt,{x:0,y:rn-1},{x:ji,y:wi-1},{width:bn,height:1}),Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji,y:wi+rn},{width:bn,height:1}),Eh.copy(Rr.data,yt,{x:bn-1,y:0},{x:ji-1,y:wi},{width:1,height:rn}),Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji+bn,y:wi},{width:1,height:rn})}this.image=yt,this.iconPositions=U,this.patternPositions=$};yg.prototype.addImages=function(_,I,U){for(var $ in _){var oe=_[$],he={x:0,y:0,w:oe.data.width+2*Gc,h:oe.data.height+2*Gc};U.push(he),I[$]=new Yf(he,oe),oe.hasRenderCallback&&this.haveRenderCallbacks.push($)}},yg.prototype.patchUpdatedImages=function(_,I){_.dispatchRenderCallbacks(this.haveRenderCallbacks);for(var U in 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oe=_.sections[$];oe.image?U.addImageSection(oe):U.addTextSection(oe,I)}return U},Kh.prototype.length=function(){return this.text.length},Kh.prototype.getSection=function(_){return this.sections[this.sectionIndex[_]]},Kh.prototype.getSectionIndex=function(_){return this.sectionIndex[_]},Kh.prototype.getCharCode=function(_){return this.text.charCodeAt(_)},Kh.prototype.verticalizePunctuation=function(){this.text=ln(this.text)},Kh.prototype.trim=function(){for(var _=0,I=0;I<this.text.length&&m0[this.text.charCodeAt(I)];I++)_++;for(var U=this.text.length,$=this.text.length-1;$>=0&&$>=_&&m0[this.text.charCodeAt($)];$--)U--;this.text=this.text.substring(_,U),this.sectionIndex=this.sectionIndex.slice(_,U)},Kh.prototype.substring=function(_,I){var U=new Kh;return U.text=this.text.substring(_,I),U.sectionIndex=this.sectionIndex.slice(_,I),U.sections=this.sections,U},Kh.prototype.toString=function(){return this.text},Kh.prototype.getMaxScale=function(){var _=this;return this.sectionIndex.reduce(function(I,U){return Math.max(I,_.sections[U].scale)},0)},Kh.prototype.addTextSection=function(_,I){this.text+=_.text,this.sections.push(by.forText(_.scale,_.fontStack||I));for(var U=this.sections.length-1,$=0;$<_.text.length;++$)this.sectionIndex.push(U)},Kh.prototype.addImageSection=function(_){var I=_.image?_.image.name:\"\";if(I.length===0){re(\"Can't add FormattedSection with an empty image.\");return}var U=this.getNextImageSectionCharCode();if(!U){re(\"Reached maximum number of images \"+(g0-r3+2));return}this.text+=String.fromCharCode(U),this.sections.push(by.forImage(I)),this.sectionIndex.push(this.sections.length-1)},Kh.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=g0?null:++this.imageSectionID:(this.imageSectionID=r3,this.imageSectionID)};function vq(y,_){for(var I=[],U=y.text,$=0,oe=0,he=_;oe<he.length;oe+=1){var De=he[oe];I.push(y.substring($,De)),$=De}return 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I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=xp(this.zoom,U[\"text-size\"]),this.iconSizeData=xp(this.zoom,U[\"icon-size\"]);var $=this.layers[0].layout,oe=$.get(\"symbol-sort-key\"),he=$.get(\"symbol-z-order\");this.canOverlap=$.get(\"text-allow-overlap\")||$.get(\"icon-allow-overlap\")||$.get(\"text-ignore-placement\")||$.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=he!==\"viewport-y\"&&oe.constantOr(1)!==void 0;var De=he===\"viewport-y\"||he===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=De&&this.canOverlap,$.get(\"symbol-placement\")===\"point\"&&(this.writingModes=$.get(\"text-writing-mode\").map(function(it){return cv[it]})),this.stateDependentLayerIds=this.layers.filter(function(it){return it.isStateDependent()}).map(function(it){return it.id}),this.sourceID=_.sourceID};Pu.prototype.createArrays=function(){this.text=new u3(new ci(this.layers,this.zoom,function(_){return/^text/.test(_)})),this.icon=new u3(new ci(this.layers,this.zoom,function(_){return/^icon/.test(_)})),this.glyphOffsetArray=new Ul,this.lineVertexArray=new ss,this.symbolInstances=new nl},Pu.prototype.calculateGlyphDependencies=function(_,I,U,$,oe){for(var he=0;he<_.length;he++)if(I[_.charCodeAt(he)]=!0,(U||$)&&oe){var De=zi[_.charAt(he)];De&&(I[De.charCodeAt(0)]=!0)}},Pu.prototype.populate=function(_,I,U){var $=this.layers[0],oe=$.layout,he=oe.get(\"text-font\"),De=oe.get(\"text-field\"),it=oe.get(\"icon-image\"),yt=(De.value.kind!==\"constant\"||De.value.value instanceof $l&&!De.value.value.isEmpty()||De.value.value.toString().length>0)&&(he.value.kind!==\"constant\"||he.value.value.length>0),Lt=it.value.kind!==\"constant\"||!!it.value.value||Object.keys(it.parameters).length>0,sr=oe.get(\"symbol-sort-key\");if(this.features=[],!(!yt&&!Lt)){for(var gr=I.iconDependencies,hr=I.glyphDependencies,Rr=I.availableImages,ni=new Un(this.zoom),ji=0,wi=_;ji<wi.length;ji+=1){var bn=wi[ji],rn=bn.feature,xn=bn.id,In=bn.index,Xn=bn.sourceLayerIndex,ga=$._featureFilter.needGeometry,ha=Ja(rn,ga);if($._featureFilter.filter(ni,ha,U)){ga||(ha.geometry=zn(rn));var eo=void 0;if(yt){var qa=$.getValueAndResolveTokens(\"text-field\",ha,U,Rr),Za=$l.factory(qa);itt(Za)&&(this.hasRTLText=!0),(!this.hasRTLText||yo()===\"unavailable\"||this.hasRTLText&&Ms.isParsed())&&(eo=pi(Za,$,ha))}var Jo=void 0;if(Lt){var to=$.getValueAndResolveTokens(\"icon-image\",ha,U,Rr);to instanceof fl?Jo=to:Jo=fl.fromString(to)}if(!(!eo&&!Jo)){var ao=this.sortFeaturesByKey?sr.evaluate(ha,{},U):void 0,_s={id:xn,text:eo,icon:Jo,index:In,sourceLayerIndex:Xn,geometry:ha.geometry,properties:rn.properties,type:ttt[rn.type],sortKey:ao};if(this.features.push(_s),Jo&&(gr[Jo.name]=!0),eo){var jo=he.evaluate(ha,{},U).join(\",\"),kl=oe.get(\"text-rotation-alignment\")===\"map\"&&oe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cv.vertical)>=0;for(var Iu=0,Cl=eo.sections;Iu<Cl.length;Iu+=1){var Ll=Cl[Iu];if(Ll.image)gr[Ll.image.name]=!0;else{var yl=Xt(eo.toString()),Qu=Ll.fontStack||jo,gc=hr[Qu]=hr[Qu]||{};this.calculateGlyphDependencies(Ll.text,gc,kl,this.allowVerticalPlacement,yl)}}}}}}oe.get(\"symbol-placement\")===\"line\"&&(this.features=vn(this.features)),this.sortFeaturesByKey&&this.features.sort(function(Sf,Ff){return Sf.sortKey-Ff.sortKey})}},Pu.prototype.update=function(_,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(_,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(_,I,this.layers,U))},Pu.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},Pu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Pu.prototype.upload=function(_){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(_),this.iconCollisionBox.upload(_)),this.text.upload(_,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(_,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Pu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Pu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Pu.prototype.addToLineVertexArray=function(_,I){var U=this.lineVertexArray.length;if(_.segment!==void 0){for(var $=_.dist(I[_.segment+1]),oe=_.dist(I[_.segment]),he={},De=_.segment+1;De<I.length;De++)he[De]={x:I[De].x,y:I[De].y,tileUnitDistanceFromAnchor:$},De<I.length-1&&($+=I[De+1].dist(I[De]));for(var it=_.segment||0;it>=0;it--)he[it]={x:I[it].x,y:I[it].y,tileUnitDistanceFromAnchor:oe},it>0&&(oe+=I[it-1].dist(I[it]));for(var yt=0;yt<I.length;yt++){var Lt=he[yt];this.lineVertexArray.emplaceBack(Lt.x,Lt.y,Lt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},Pu.prototype.addSymbols=function(_,I,U,$,oe,he,De,it,yt,Lt,sr,gr){for(var hr=_.indexArray,Rr=_.layoutVertexArray,ni=_.segments.prepareSegment(4*I.length,Rr,hr,this.canOverlap?he.sortKey:void 0),ji=this.glyphOffsetArray.length,wi=ni.vertexLength,bn=this.allowVerticalPlacement&&De===cv.vertical?Math.PI/2:0,rn=he.text&&he.text.sections,xn=0;xn<I.length;xn++){var In=I[xn],Xn=In.tl,ga=In.tr,ha=In.bl,eo=In.br,qa=In.tex,Za=In.pixelOffsetTL,Jo=In.pixelOffsetBR,to=In.minFontScaleX,ao=In.minFontScaleY,_s=In.glyphOffset,jo=In.isSDF,kl=In.sectionIndex,Iu=ni.vertexLength,Cl=_s[1];f6(Rr,it.x,it.y,Xn.x,Cl+Xn.y,qa.x,qa.y,U,jo,Za.x,Za.y,to,ao),f6(Rr,it.x,it.y,ga.x,Cl+ga.y,qa.x+qa.w,qa.y,U,jo,Jo.x,Za.y,to,ao),f6(Rr,it.x,it.y,ha.x,Cl+ha.y,qa.x,qa.y+qa.h,U,jo,Za.x,Jo.y,to,ao),f6(Rr,it.x,it.y,eo.x,Cl+eo.y,qa.x+qa.w,qa.y+qa.h,U,jo,Jo.x,Jo.y,to,ao),bq(_.dynamicLayoutVertexArray,it,bn),hr.emplaceBack(Iu,Iu+1,Iu+2),hr.emplaceBack(Iu+1,Iu+2,Iu+3),ni.vertexLength+=4,ni.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(_s[0]),(xn===I.length-1||kl!==I[xn+1].sectionIndex)&&_.programConfigurations.populatePaintArrays(Rr.length,he,he.index,{},gr,rn&&rn[kl])}_.placedSymbolArray.emplaceBack(it.x,it.y,ji,this.glyphOffsetArray.length-ji,wi,yt,Lt,it.segment,U?U[0]:0,U?U[1]:0,$[0],$[1],De,0,!1,0,sr)},Pu.prototype._addCollisionDebugVertex=function(_,I,U,$,oe,he){return I.emplaceBack(0,0),_.emplaceBack(U.x,U.y,$,oe,Math.round(he.x),Math.round(he.y))},Pu.prototype.addCollisionDebugVertices=function(_,I,U,$,oe,he,De){var it=oe.segments.prepareSegment(4,oe.layoutVertexArray,oe.indexArray),yt=it.vertexLength,Lt=oe.layoutVertexArray,sr=oe.collisionVertexArray,gr=De.anchorX,hr=De.anchorY;this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(_,I)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(U,I)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(U,$)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(_,$)),it.vertexLength+=4;var Rr=oe.indexArray;Rr.emplaceBack(yt,yt+1),Rr.emplaceBack(yt+1,yt+2),Rr.emplaceBack(yt+2,yt+3),Rr.emplaceBack(yt+3,yt),it.primitiveLength+=4},Pu.prototype.addDebugCollisionBoxes=function(_,I,U,$){for(var oe=_;oe<I;oe++){var he=this.collisionBoxArray.get(oe),De=he.x1,it=he.y1,yt=he.x2,Lt=he.y2;this.addCollisionDebugVertices(De,it,yt,Lt,$?this.textCollisionBox:this.iconCollisionBox,he.anchorPoint,U)}},Pu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new DS(Ji,ft.members,sa),this.iconCollisionBox=new DS(Ji,ft.members,sa);for(var _=0;_<this.symbolInstances.length;_++){var I=this.symbolInstances.get(_);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},Pu.prototype._deserializeCollisionBoxesForSymbol=function(_,I,U,$,oe,he,De,it,yt){for(var Lt={},sr=I;sr<U;sr++){var gr=_.get(sr);Lt.textBox={x1:gr.x1,y1:gr.y1,x2:gr.x2,y2:gr.y2,anchorPointX:gr.anchorPointX,anchorPointY:gr.anchorPointY},Lt.textFeatureIndex=gr.featureIndex;break}for(var hr=$;hr<oe;hr++){var Rr=_.get(hr);Lt.verticalTextBox={x1:Rr.x1,y1:Rr.y1,x2:Rr.x2,y2:Rr.y2,anchorPointX:Rr.anchorPointX,anchorPointY:Rr.anchorPointY},Lt.verticalTextFeatureIndex=Rr.featureIndex;break}for(var ni=he;ni<De;ni++){var ji=_.get(ni);Lt.iconBox={x1:ji.x1,y1:ji.y1,x2:ji.x2,y2:ji.y2,anchorPointX:ji.anchorPointX,anchorPointY:ji.anchorPointY},Lt.iconFeatureIndex=ji.featureIndex;break}for(var wi=it;wi<yt;wi++){var bn=_.get(wi);Lt.verticalIconBox={x1:bn.x1,y1:bn.y1,x2:bn.x2,y2:bn.y2,anchorPointX:bn.anchorPointX,anchorPointY:bn.anchorPointY},Lt.verticalIconFeatureIndex=bn.featureIndex;break}return Lt},Pu.prototype.deserializeCollisionBoxes=function(_){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(_,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},Pu.prototype.hasTextData=function(){return this.text.segments.get().length>0},Pu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Pu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Pu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Pu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Pu.prototype.addIndicesForPlacedSymbol=function(_,I){for(var U=_.placedSymbolArray.get(I),$=U.vertexStartIndex+U.numGlyphs*4,oe=U.vertexStartIndex;oe<$;oe+=4)_.indexArray.emplaceBack(oe,oe+1,oe+2),_.indexArray.emplaceBack(oe+1,oe+2,oe+3)},Pu.prototype.getSortedSymbolIndexes=function(_){if(this.sortedAngle===_&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(_),U=Math.cos(_),$=[],oe=[],he=[],De=0;De<this.symbolInstances.length;++De){he.push(De);var it=this.symbolInstances.get(De);$.push(Math.round(I*it.anchorX+U*it.anchorY)|0),oe.push(it.featureIndex)}return he.sort(function(yt,Lt){return $[yt]-$[Lt]||oe[Lt]-oe[yt]}),he},Pu.prototype.addToSortKeyRanges=function(_,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=_+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:_,symbolInstanceEnd:_+1})},Pu.prototype.sortFeatures=function(_){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==_&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(_),this.sortedAngle=_,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,$=this.symbolInstanceIndexes;U<$.length;U+=1){var oe=$[U],he=this.symbolInstances.get(oe);this.featureSortOrder.push(he.featureIndex),[he.rightJustifiedTextSymbolIndex,he.centerJustifiedTextSymbolIndex,he.leftJustifiedTextSymbolIndex].forEach(function(De,it,yt){De>=0&&yt.indexOf(De)===it&&I.addIndicesForPlacedSymbol(I.text,De)}),he.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,he.verticalPlacedTextSymbolIndex),he.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.placedIconSymbolIndex),he.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},X(\"SymbolBucket\",Pu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Pu.MAX_GLYPHS=65535,Pu.addDynamicAttributes=bq;function ntt(y,_){return _.replace(/{([^{}]+)}/g,function(I,U){return U in y?String(y[U]):\"\"})}var att=new Or({\"symbol-placement\":new Me(Rn.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Me(Rn.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Me(Rn.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new bt(Rn.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Me(Rn.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Me(Rn.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Me(Rn.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Me(Rn.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Me(Rn.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new bt(Rn.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Me(Rn.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Me(Rn.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new bt(Rn.layout_symbol[\"icon-image\"]),\"icon-rotate\":new bt(Rn.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Me(Rn.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Me(Rn.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new bt(Rn.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new bt(Rn.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Me(Rn.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Me(Rn.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Me(Rn.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new bt(Rn.layout_symbol[\"text-field\"]),\"text-font\":new bt(Rn.layout_symbol[\"text-font\"]),\"text-size\":new bt(Rn.layout_symbol[\"text-size\"]),\"text-max-width\":new bt(Rn.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Me(Rn.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new bt(Rn.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new bt(Rn.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new bt(Rn.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Me(Rn.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new bt(Rn.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Me(Rn.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Me(Rn.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new bt(Rn.layout_symbol[\"text-rotate\"]),\"text-padding\":new Me(Rn.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Me(Rn.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new bt(Rn.layout_symbol[\"text-transform\"]),\"text-offset\":new bt(Rn.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Me(Rn.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Me(Rn.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Me(Rn.layout_symbol[\"text-optional\"])}),ott=new Or({\"icon-opacity\":new bt(Rn.paint_symbol[\"icon-opacity\"]),\"icon-color\":new bt(Rn.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new bt(Rn.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new bt(Rn.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new bt(Rn.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Me(Rn.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Me(Rn.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new bt(Rn.paint_symbol[\"text-opacity\"]),\"text-color\":new bt(Rn.paint_symbol[\"text-color\"],{runtimeType:ql,getOverride:function(y){return y.textColor},hasOverride:function(y){return!!y.textColor}}),\"text-halo-color\":new bt(Rn.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new bt(Rn.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new bt(Rn.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Me(Rn.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Me(Rn.paint_symbol[\"text-translate-anchor\"])}),wq={paint:ott,layout:att},c3=function(_){this.type=_.property.overrides?_.property.overrides.runtimeType:ac,this.defaultValue=_};c3.prototype.evaluate=function(_){if(_.formattedSection){var I=this.defaultValue.property.overrides;if(I&&I.hasOverride(_.formattedSection))return I.getOverride(_.formattedSection)}return _.feature&&_.featureState?this.defaultValue.evaluate(_.feature,_.featureState):this.defaultValue.property.specification.default},c3.prototype.eachChild=function(_){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;_(I._styleExpression.expression)}},c3.prototype.outputDefined=function(){return!1},c3.prototype.serialize=function(){return null},X(\"FormatSectionOverride\",c3,{omit:[\"defaultValue\"]});var stt=(function(y){function _(I){y.call(this,I,wq)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_.prototype.recalculate=function(U,$){if(y.prototype.recalculate.call(this,U,$),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var oe=this.layout.get(\"text-writing-mode\");if(oe){for(var he=[],De=0,it=oe;De<it.length;De+=1){var yt=it[De];he.indexOf(yt)<0&&he.push(yt)}this.layout._values[\"text-writing-mode\"]=he}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},_.prototype.getValueAndResolveTokens=function(U,$,oe,he){var De=this.layout.get(U).evaluate($,{},oe,he),it=this._unevaluatedLayout._values[U];return!it.isDataDriven()&&!Va(it.value)&&De?ntt($.properties,De):De},_.prototype.createBucket=function(U){return new Pu(U)},_.prototype.queryRadius=function(){return 0},_.prototype.queryIntersectsFeature=function(){return!1},_.prototype._setPaintOverrides=function(){for(var U=0,$=wq.paint.overridableProperties;U<$.length;U+=1){var oe=$[U];if(_.hasPaintOverride(this.layout,oe)){var he=this.paint.get(oe),De=new c3(he),it=new Ac(De,he.property.specification),yt=null;he.value.kind===\"constant\"||he.value.kind===\"source\"?yt=new Vc(\"source\",it):yt=new hc(\"composite\",it,he.value.zoomStops,he.value._interpolationType),this.paint._values[oe]=new dl(he.property,yt,he.parameters)}}},_.prototype._handleOverridablePaintPropertyUpdate=function(U,$,oe){return!this.layout||$.isDataDriven()||oe.isDataDriven()?!1:_.hasPaintOverride(this.layout,U)},_.hasPaintOverride=function(U,$){var oe=U.get(\"text-field\"),he=wq.paint.properties[$],De=!1,it=function(sr){for(var gr=0,hr=sr;gr<hr.length;gr+=1){var Rr=hr[gr];if(he.overrides&&he.overrides.hasOverride(Rr)){De=!0;return}}};if(oe.value.kind===\"constant\"&&oe.value.value instanceof $l)it(oe.value.value.sections);else if(oe.value.kind===\"source\"){var yt=function(sr){if(!De)if(sr instanceof Go&&Es(sr.value)===pl){var gr=sr.value;it(gr.sections)}else sr instanceof Gu?it(sr.sections):sr.eachChild(yt)},Lt=oe.value;Lt._styleExpression&&yt(Lt._styleExpression.expression)}return De},_})(vi),ltt=new Or({\"background-color\":new Me(Rn.paint_background[\"background-color\"]),\"background-pattern\":new Lr(Rn.paint_background[\"background-pattern\"]),\"background-opacity\":new Me(Rn.paint_background[\"background-opacity\"])}),utt={paint:ltt},ctt=(function(y){function _(I){y.call(this,I,utt)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_})(vi),ftt=new Or({\"raster-opacity\":new Me(Rn.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Me(Rn.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Me(Rn.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Me(Rn.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Me(Rn.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Me(Rn.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Me(Rn.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Me(Rn.paint_raster[\"raster-fade-duration\"])}),htt={paint:ftt},dtt=(function(y){function _(I){y.call(this,I,htt)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_})(vi);function vtt(y){var _=[],I=y.id;return I===void 0&&_.push({message:\"layers.\"+I+': missing required property \"id\"'}),y.render===void 0&&_.push({message:\"layers.\"+I+': missing required method \"render\"'}),y.renderingMode&&y.renderingMode!==\"2d\"&&y.renderingMode!==\"3d\"&&_.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),_}var ptt=(function(y){function _(I){y.call(this,I,{}),this.implementation=I}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},_.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 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I={};if(!_)return I;for(var U=function(){var he=oe[$],De=he.layerIds.map(function(sr){return _.getLayer(sr)}).filter(Boolean);if(De.length!==0){he.layers=De,he.stateDependentLayerIds&&(he.stateDependentLayers=he.stateDependentLayerIds.map(function(sr){return De.filter(function(gr){return gr.id===sr})[0]}));for(var it=0,yt=De;it<yt.length;it+=1){var Lt=yt[it];I[Lt.id]=he}}},$=0,oe=y;$<oe.length;$+=1)U();return I}var d6=function(_){this._stringToNumber={},this._numberToString=[];for(var I=0;I<_.length;I++){var U=_[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};d6.prototype.encode=function(_){return this._stringToNumber[_]},d6.prototype.decode=function(_){return this._numberToString[_]};var v6=function(_,I,U,$,oe){this.type=\"Feature\",this._vectorTileFeature=_,_._z=I,_._x=U,_._y=$,this.properties=_.properties,this.id=oe},Sq={geometry:{configurable:!0}};Sq.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Sq.geometry.set=function(y){this._geometry=y},v6.prototype.toJSON=function(){var _={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(_[I]=this[I]);return _},Object.defineProperties(v6.prototype,Sq);var h3=function(){this.state={},this.stateChanges={},this.deletedStates={}};h3.prototype.updateState=function(_,I,U){var $=String(I);if(this.stateChanges[_]=this.stateChanges[_]||{},this.stateChanges[_][$]=this.stateChanges[_][$]||{},x(this.stateChanges[_][$],U),this.deletedStates[_]===null){this.deletedStates[_]={};for(var oe in this.state[_])oe!==$&&(this.deletedStates[_][oe]=null)}else{var he=this.deletedStates[_]&&this.deletedStates[_][$]===null;if(he){this.deletedStates[_][$]={};for(var De in this.state[_][$])U[De]||(this.deletedStates[_][$][De]=null)}else for(var it in U){var yt=this.deletedStates[_]&&this.deletedStates[_][$]&&this.deletedStates[_][$][it]===null;yt&&delete this.deletedStates[_][$][it]}}},h3.prototype.removeFeatureState=function(_,I,U){var $=this.deletedStates[_]===null;if(!$){var oe=String(I);if(this.deletedStates[_]=this.deletedStates[_]||{},U&&I!==void 0)this.deletedStates[_][oe]!==null&&(this.deletedStates[_][oe]=this.deletedStates[_][oe]||{},this.deletedStates[_][oe][U]=null);else if(I!==void 0){var he=this.stateChanges[_]&&this.stateChanges[_][oe];if(he){this.deletedStates[_][oe]={};for(U in this.stateChanges[_][oe])this.deletedStates[_][oe][U]=null}else this.deletedStates[_][oe]=null}else this.deletedStates[_]=null}},h3.prototype.getState=function(_,I){var U=String(I),$=this.state[_]||{},oe=this.stateChanges[_]||{},he=x({},$[U],oe[U]);if(this.deletedStates[_]===null)return{};if(this.deletedStates[_]){var De=this.deletedStates[_][I];if(De===null)return{};for(var it in De)delete he[it]}return he},h3.prototype.initializeTileState=function(_,I){_.setFeatureState(this.state,I)},h3.prototype.coalesceChanges=function(_,I){var U={};for(var $ in this.stateChanges){this.state[$]=this.state[$]||{};var oe={};for(var he in this.stateChanges[$])this.state[$][he]||(this.state[$][he]={}),x(this.state[$][he],this.stateChanges[$][he]),oe[he]=this.state[$][he];U[$]=oe}for(var De in this.deletedStates){this.state[De]=this.state[De]||{};var it={};if(this.deletedStates[De]===null)for(var yt in this.state[De])it[yt]={},this.state[De][yt]={};else for(var Lt in this.deletedStates[De]){var sr=this.deletedStates[De][Lt]===null;if(sr)this.state[De][Lt]={};else for(var gr=0,hr=Object.keys(this.deletedStates[De][Lt]);gr<hr.length;gr+=1){var Rr=hr[gr];delete this.state[De][Lt][Rr]}it[Lt]=this.state[De][Lt]}U[De]=U[De]||{},x(U[De],it)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var ni in _){var ji=_[ni];ji.setFeatureState(U,I)}};var Ty=function(_,I){this.tileID=_,this.x=_.canonical.x,this.y=_.canonical.y,this.z=_.canonical.z,this.grid=new au(Ei,16,0),this.grid3D=new au(Ei,16,0),this.featureIndexArray=new Ys,this.promoteId=I};Ty.prototype.insert=function(_,I,U,$,oe,he){var De=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,$,oe);for(var it=he?this.grid3D:this.grid,yt=0;yt<I.length;yt++){for(var Lt=I[yt],sr=[1/0,1/0,-1/0,-1/0],gr=0;gr<Lt.length;gr++){var hr=Lt[gr];sr[0]=Math.min(sr[0],hr.x),sr[1]=Math.min(sr[1],hr.y),sr[2]=Math.max(sr[2],hr.x),sr[3]=Math.max(sr[3],hr.y)}sr[0]<Ei&&sr[1]<Ei&&sr[2]>=0&&sr[3]>=0&&it.insert(De,sr[0],sr[1],sr[2],sr[3])}},Ty.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new mg.VectorTile(new Xa(this.rawTileData)).layers,this.sourceLayerCoder=new d6(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ty.prototype.query=function(_,I,U,$){var oe=this;this.loadVTLayers();for(var he=_.params||{},De=Ei/_.tileSize/_.scale,it=xe(he.filter),yt=_.queryGeometry,Lt=_.queryPadding*De,sr=pee(yt),gr=this.grid.query(sr.minX-Lt,sr.minY-Lt,sr.maxX+Lt,sr.maxY+Lt),hr=pee(_.cameraQueryGeometry),Rr=this.grid3D.query(hr.minX-Lt,hr.minY-Lt,hr.maxX+Lt,hr.maxY+Lt,function(Xn,ga,ha,eo){return mp(_.cameraQueryGeometry,Xn-Lt,ga-Lt,ha+Lt,eo+Lt)}),ni=0,ji=Rr;ni<ji.length;ni+=1){var wi=ji[ni];gr.push(wi)}gr.sort(Att);for(var bn={},rn,xn=function(Xn){var ga=gr[Xn];if(ga!==rn){rn=ga;var ha=oe.featureIndexArray.get(ga),eo=null;oe.loadMatchingFeature(bn,ha.bucketIndex,ha.sourceLayerIndex,ha.featureIndex,it,he.layers,he.availableImages,I,U,$,function(qa,Za,Jo){return eo||(eo=zn(qa)),Za.queryIntersectsFeature(yt,qa,Jo,eo,oe.z,_.transform,De,_.pixelPosMatrix)})}},In=0;In<gr.length;In++)xn(In);return bn},Ty.prototype.loadMatchingFeature=function(_,I,U,$,oe,he,De,it,yt,Lt,sr){var gr=this.bucketLayerIDs[I];if(!(he&&!N(he,gr))){var hr=this.sourceLayerCoder.decode(U),Rr=this.vtLayers[hr],ni=Rr.feature($);if(oe.needGeometry){var ji=Ja(ni,!0);if(!oe.filter(new Un(this.tileID.overscaledZ),ji,this.tileID.canonical))return}else if(!oe.filter(new Un(this.tileID.overscaledZ),ni))return;for(var wi=this.getId(ni,hr),bn=0;bn<gr.length;bn++){var rn=gr[bn];if(!(he&&he.indexOf(rn)<0)){var xn=it[rn];if(xn){var In={};wi!==void 0&&Lt&&(In=Lt.getState(xn.sourceLayer||\"_geojsonTileLayer\",wi));var Xn=x({},yt[rn]);Xn.paint=vee(Xn.paint,xn.paint,ni,In,De),Xn.layout=vee(Xn.layout,xn.layout,ni,In,De);var ga=!sr||sr(ni,xn,In);if(ga){var ha=new v6(ni,this.z,this.x,this.y,wi);ha.layer=Xn;var eo=_[rn];eo===void 0&&(eo=_[rn]=[]),eo.push({featureIndex:$,feature:ha,intersectionZ:ga})}}}}}},Ty.prototype.lookupSymbolFeatures=function(_,I,U,$,oe,he,De,it){var yt={};this.loadVTLayers();for(var Lt=xe(oe),sr=0,gr=_;sr<gr.length;sr+=1){var hr=gr[sr];this.loadMatchingFeature(yt,U,$,hr,Lt,he,De,it,I)}return yt},Ty.prototype.hasLayer=function(_){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var $=U[I],oe=0,he=$;oe<he.length;oe+=1){var De=he[oe];if(_===De)return!0}return!1},Ty.prototype.getId=function(_,I){var U=_.id;if(this.promoteId){var $=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=_.properties[$],typeof U==\"boolean\"&&(U=Number(U))}return U},X(\"FeatureIndex\",Ty,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function vee(y,_,I,U,$){return G(y,function(oe,he){var De=_ instanceof Sc?_.get(he):null;return De&&De.evaluate?De.evaluate(I,U,$):De})}function pee(y){for(var _=1/0,I=1/0,U=-1/0,$=-1/0,oe=0,he=y;oe<he.length;oe+=1){var De=he[oe];_=Math.min(_,De.x),I=Math.min(I,De.y),U=Math.max(U,De.x),$=Math.max($,De.y)}return{minX:_,minY:I,maxX:U,maxY:$}}function Att(y,_){return _-y}var Stt=3e4,Jh=function(_,I){this.tileID=_,this.uid=g(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jh.prototype.registerFadeDuration=function(_){var I=_+this.timeAdded;I<lt.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Jh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Jh.prototype.loadVectorData=function(_,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!_){this.collisionBoxArray=new Ga;return}_.featureIndex&&(this.latestFeatureIndex=_.featureIndex,_.rawTileData?(this.latestRawTileData=_.rawTileData,this.latestFeatureIndex.rawTileData=_.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=_.collisionBoxArray,this.buckets=Ttt(_.buckets,I.style),this.hasSymbolBuckets=!1;for(var $ in this.buckets){var oe=this.buckets[$];if(oe instanceof Pu)if(this.hasSymbolBuckets=!0,U)oe.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var he in this.buckets){var De=this.buckets[he];if(De instanceof Pu&&De.hasRTLText){this.hasRTLText=!0,Xs();break}}this.queryPadding=0;for(var it in this.buckets){var yt=this.buckets[it];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(it).queryRadius(yt))}_.imageAtlas&&(this.imageAtlas=_.imageAtlas),_.glyphAtlasImage&&(this.glyphAtlasImage=_.glyphAtlasImage)},Jh.prototype.unloadVectorData=function(){for(var _ in this.buckets)this.buckets[_].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jh.prototype.getBucket=function(_){return this.buckets[_.id]},Jh.prototype.upload=function(_){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(_)}var $=_.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new db(_,this.imageAtlas.image,$.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new db(_,this.glyphAtlasImage,$.ALPHA),this.glyphAtlasImage=null)},Jh.prototype.prepare=function(_){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(_,this.imageAtlasTexture)},Jh.prototype.queryRenderedFeatures=function(_,I,U,$,oe,he,De,it,yt,Lt){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:$,cameraQueryGeometry:oe,scale:he,tileSize:this.tileSize,pixelPosMatrix:Lt,transform:it,params:De,queryPadding:this.queryPadding*yt},_,I,U)},Jh.prototype.querySourceFeatures=function(_,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var $=U.loadVTLayers(),oe=I?I.sourceLayer:\"\",he=$._geojsonTileLayer||$[oe];if(he)for(var De=xe(I&&I.filter),it=this.tileID.canonical,yt=it.z,Lt=it.x,sr=it.y,gr={z:yt,x:Lt,y:sr},hr=0;hr<he.length;hr++){var Rr=he.feature(hr);if(De.needGeometry){var ni=Ja(Rr,!0);if(!De.filter(new Un(this.tileID.overscaledZ),ni,this.tileID.canonical))continue}else if(!De.filter(new Un(this.tileID.overscaledZ),Rr))continue;var ji=U.getId(Rr,oe),wi=new v6(Rr,yt,Lt,sr,ji);wi.tile=gr,_.push(wi)}}},Jh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Jh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jh.prototype.setExpiryData=function(_){var I=this.expirationTime;if(_.cacheControl){var U=ge(_.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else _.expires&&(this.expirationTime=new Date(_.expires).getTime());if(this.expirationTime){var $=Date.now(),oe=!1;if(this.expirationTime>$)oe=!1;else if(!I)oe=!0;else if(this.expirationTime<I)oe=!0;else{var he=this.expirationTime-I;he?this.expirationTime=$+Math.max(he,Stt):oe=!0}oe?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)},Jh.prototype.setFeatureState=function(_,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(_).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var $ in this.buckets)if(I.style.hasLayer($)){var oe=this.buckets[$],he=oe.layers[0].sourceLayer||\"_geojsonTileLayer\",De=U[he],it=_[he];if(!(!De||!it||Object.keys(it).length===0)){oe.update(it,De,this.imageAtlas&&this.imageAtlas.patternPositions||{});var yt=I&&I.style&&I.style.getLayer($);yt&&(this.queryPadding=Math.max(this.queryPadding,yt.queryRadius(oe)))}}}},Jh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Jh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<lt.now()},Jh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jh.prototype.setHoldDuration=function(_){this.symbolFadeHoldUntil=lt.now()+_},Jh.prototype.setDependencies=function(_,I){for(var U={},$=0,oe=I;$<oe.length;$+=1){var he=oe[$];U[he]=!0}this.dependencies[_]=U},Jh.prototype.hasDependency=function(_,I){for(var U=0,$=_;U<$.length;U+=1){var oe=$[U],he=this.dependencies[oe];if(he)for(var De=0,it=I;De<it.length;De+=1){var yt=it[De];if(he[yt])return!0}}return!1};var Mtt=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],V1=f.performance,gee=function(_){this._marks={start:[_.url,\"start\"].join(\"#\"),end:[_.url,\"end\"].join(\"#\"),measure:_.url.toString()},V1.mark(this._marks.start)};gee.prototype.finish=function(){V1.mark(this._marks.end);var _=V1.getEntriesByName(this._marks.measure);return 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strict\";function a(Gt){var wt=typeof Gt;if(wt===\"number\"||wt===\"boolean\"||wt===\"string\"||Gt===void 0||Gt===null)return JSON.stringify(Gt);if(Array.isArray(Gt)){for(var tr=\"[\",ir=0,wr=Gt;ir<wr.length;ir+=1){var Xr=wr[ir];tr+=a(Xr)+\",\"}return tr+\"]\"}for(var ti=Object.keys(Gt).sort(),$r=\"{\",Ri=0;Ri<ti.length;Ri++)$r+=JSON.stringify(ti[Ri])+\":\"+a(Gt[ti[Ri]])+\",\";return $r+\"}\"}function o(Gt){for(var wt=\"\",tr=0,ir=i.refProperties;tr<ir.length;tr+=1){var wr=ir[tr];wt+=\"/\"+a(Gt[wr])}return wt}function s(Gt,wt){for(var tr={},ir=0;ir<Gt.length;ir++){var wr=wt&&wt[Gt[ir].id]||o(Gt[ir]);wt&&(wt[Gt[ir].id]=wr);var Xr=tr[wr];Xr||(Xr=tr[wr]=[]),Xr.push(Gt[ir])}var ti=[];for(var $r in tr)ti.push(tr[$r]);return ti}var l=function(wt){this.keyCache={},wt&&this.replace(wt)};l.prototype.replace=function(wt){this._layerConfigs={},this._layers={},this.update(wt,[])},l.prototype.update=function(wt,tr){for(var ir=this,wr=0,Xr=wt;wr<Xr.length;wr+=1){var ti=Xr[wr];this._layerConfigs[ti.id]=ti;var $r=this._layers[ti.id]=i.createStyleLayer(ti);$r._featureFilter=i.featureFilter($r.filter),this.keyCache[ti.id]&&delete this.keyCache[ti.id]}for(var Ri=0,Hi=tr;Ri<Hi.length;Ri+=1){var en=Hi[Ri];delete this.keyCache[en],delete this._layerConfigs[en],delete this._layers[en]}this.familiesBySource={};for(var fn=s(i.values(this._layerConfigs),this.keyCache),yn=0,Mn=fn;yn<Mn.length;yn+=1){var Ba=Mn[yn],ua=Ba.map(function(jn){return ir._layers[jn.id]}),ma=ua[0];if(ma.visibility!==\"none\"){var Wa=ma.source||\"\",za=this.familiesBySource[Wa];za||(za=this.familiesBySource[Wa]={});var Xo=ma.sourceLayer||\"_geojsonTileLayer\",da=za[Xo];da||(da=za[Xo]=[]),da.push(ua)}}};var u=1,c=function(wt){var tr={},ir=[];for(var wr in wt){var Xr=wt[wr],ti=tr[wr]={};for(var $r in Xr){var Ri=Xr[+$r];if(!(!Ri||Ri.bitmap.width===0||Ri.bitmap.height===0)){var Hi={x:0,y:0,w:Ri.bitmap.width+2*u,h:Ri.bitmap.height+2*u};ir.push(Hi),ti[$r]={rect:Hi,metrics:Ri.metrics}}}}var en=i.potpack(ir),fn=en.w,yn=en.h,Mn=new i.AlphaImage({width:fn||1,height:yn||1});for(var Ba in wt){var ua=wt[Ba];for(var ma in ua){var Wa=ua[+ma];if(!(!Wa||Wa.bitmap.width===0||Wa.bitmap.height===0)){var za=tr[Ba][ma].rect;i.AlphaImage.copy(Wa.bitmap,Mn,{x:0,y:0},{x:za.x+u,y:za.y+u},Wa.bitmap)}}}this.image=Mn,this.positions=tr};i.register(\"GlyphAtlas\",c);var f=function(wt){this.tileID=new i.OverscaledTileID(wt.tileID.overscaledZ,wt.tileID.wrap,wt.tileID.canonical.z,wt.tileID.canonical.x,wt.tileID.canonical.y),this.uid=wt.uid,this.zoom=wt.zoom,this.pixelRatio=wt.pixelRatio,this.tileSize=wt.tileSize,this.source=wt.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=wt.showCollisionBoxes,this.collectResourceTiming=!!wt.collectResourceTiming,this.returnDependencies=!!wt.returnDependencies,this.promoteId=wt.promoteId};f.prototype.parse=function(wt,tr,ir,wr,Xr){var ti=this;this.status=\"parsing\",this.data=wt,this.collisionBoxArray=new i.CollisionBoxArray;var $r=new i.DictionaryCoder(Object.keys(wt.layers).sort()),Ri=new i.FeatureIndex(this.tileID,this.promoteId);Ri.bucketLayerIDs=[];var Hi={},en={featureIndex:Ri,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:ir},fn=tr.familiesBySource[this.source];for(var yn in fn){var Mn=wt.layers[yn];if(Mn){Mn.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+yn+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var Ba=$r.encode(yn),ua=[],ma=0;ma<Mn.length;ma++){var Wa=Mn.feature(ma),za=Ri.getId(Wa,yn);ua.push({feature:Wa,id:za,index:ma,sourceLayerIndex:Ba})}for(var Xo=0,da=fn[yn];Xo<da.length;Xo+=1){var jn=da[Xo],Ha=jn[0];if(!(Ha.minzoom&&this.zoom<Math.floor(Ha.minzoom))&&!(Ha.maxzoom&&this.zoom>=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(jn,this.zoom,ir);var vo=Hi[Ha.id]=Ha.createBucket({index:Ri.bucketLayerIDs.length,layers:jn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Ba,sourceID:this.source});vo.populate(ua,en,this.tileID.canonical),Ri.bucketLayerIDs.push(jn.map(function(ki){return ki.id}))}}}}var Gn,Ct,Sr,Jr,hi=i.mapObject(en.glyphDependencies,function(ki){return Object.keys(ki).map(Number)});Object.keys(hi).length?wr.send(\"getGlyphs\",{uid:this.uid,stacks:hi},function(ki,_n){Gn||(Gn=ki,Ct=_n,En.call(ti))}):Ct={};var hn=Object.keys(en.iconDependencies);hn.length?wr.send(\"getImages\",{icons:hn,source:this.source,tileID:this.tileID,type:\"icons\"},function(ki,_n){Gn||(Gn=ki,Sr=_n,En.call(ti))}):Sr={};var Sn=Object.keys(en.patternDependencies);Sn.length?wr.send(\"getImages\",{icons:Sn,source:this.source,tileID:this.tileID,type:\"patterns\"},function(ki,_n){Gn||(Gn=ki,Jr=_n,En.call(ti))}):Jr={},En.call(this);function En(){if(Gn)return Xr(Gn);if(Ct&&Sr&&Jr){var ki=new c(Ct),_n=new i.ImageAtlas(Sr,Jr);for(var ya in Hi){var ea=Hi[ya];ea instanceof i.SymbolBucket?(h(ea.layers,this.zoom,ir),i.performSymbolLayout(ea,Ct,ki.positions,Sr,_n.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):ea.hasPattern&&(ea instanceof i.LineBucket||ea instanceof i.FillBucket||ea instanceof i.FillExtrusionBucket)&&(h(ea.layers,this.zoom,ir),ea.addFeatures(en,this.tileID.canonical,_n.patternPositions))}this.status=\"done\",Xr(null,{buckets:i.values(Hi).filter(function(Ma){return!Ma.isEmpty()}),featureIndex:Ri,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:ki.image,imageAtlas:_n,glyphMap:this.returnDependencies?Ct:null,iconMap:this.returnDependencies?Sr:null,glyphPositions:this.returnDependencies?ki.positions:null})}}};function h(Gt,wt,tr){for(var ir=new i.EvaluationParameters(wt),wr=0,Xr=Gt;wr<Xr.length;wr+=1){var ti=Xr[wr];ti.recalculate(ir,tr)}}function d(Gt,wt){var tr=i.getArrayBuffer(Gt.request,function(ir,wr,Xr,ti){ir?wt(ir):wr&&wt(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(wr)),rawData:wr,cacheControl:Xr,expires:ti})});return function(){tr.cancel(),wt()}}var v=function(wt,tr,ir,wr){this.actor=wt,this.layerIndex=tr,this.availableImages=ir,this.loadVectorData=wr||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(wt,tr){var ir=this,wr=wt.uid;this.loading||(this.loading={});var Xr=wt&&wt.request&&wt.request.collectResourceTiming?new i.RequestPerformance(wt.request):!1,ti=this.loading[wr]=new f(wt);ti.abort=this.loadVectorData(wt,function($r,Ri){if(delete ir.loading[wr],$r||!Ri)return ti.status=\"done\",ir.loaded[wr]=ti,tr($r);var Hi=Ri.rawData,en={};Ri.expires&&(en.expires=Ri.expires),Ri.cacheControl&&(en.cacheControl=Ri.cacheControl);var fn={};if(Xr){var yn=Xr.finish();yn&&(fn.resourceTiming=JSON.parse(JSON.stringify(yn)))}ti.vectorTile=Ri.vectorTile,ti.parse(Ri.vectorTile,ir.layerIndex,ir.availableImages,ir.actor,function(Mn,Ba){if(Mn||!Ba)return tr(Mn);tr(null,i.extend({rawTileData:Hi.slice(0)},Ba,en,fn))}),ir.loaded=ir.loaded||{},ir.loaded[wr]=ti})},v.prototype.reloadTile=function(wt,tr){var ir=this,wr=this.loaded,Xr=wt.uid,ti=this;if(wr&&wr[Xr]){var $r=wr[Xr];$r.showCollisionBoxes=wt.showCollisionBoxes;var Ri=function(Hi,en){var fn=$r.reloadCallback;fn&&(delete $r.reloadCallback,$r.parse($r.vectorTile,ti.layerIndex,ir.availableImages,ti.actor,fn)),tr(Hi,en)};$r.status===\"parsing\"?$r.reloadCallback=Ri:$r.status===\"done\"&&($r.vectorTile?$r.parse($r.vectorTile,this.layerIndex,this.availableImages,this.actor,Ri):Ri())}},v.prototype.abortTile=function(wt,tr){var ir=this.loading,wr=wt.uid;ir&&ir[wr]&&ir[wr].abort&&(ir[wr].abort(),delete ir[wr]),tr()},v.prototype.removeTile=function(wt,tr){var ir=this.loaded,wr=wt.uid;ir&&ir[wr]&&delete ir[wr],tr()};var m=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(wt,tr){var ir=wt.uid,wr=wt.encoding,Xr=wt.rawImageData,ti=m&&Xr instanceof m?this.getImageData(Xr):Xr,$r=new i.DEMData(ir,ti,wr);this.loaded=this.loaded||{},this.loaded[ir]=$r,tr(null,$r)},b.prototype.getImageData=function(wt){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(wt.width,wt.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=wt.width,this.offscreenCanvas.height=wt.height,this.offscreenCanvasContext.drawImage(wt,0,0,wt.width,wt.height);var tr=this.offscreenCanvasContext.getImageData(-1,-1,wt.width+2,wt.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:tr.width,height:tr.height},tr.data)},b.prototype.removeTile=function(wt){var tr=this.loaded,ir=wt.uid;tr&&tr[ir]&&delete tr[ir]};var p=k;function k(Gt,wt){var tr=Gt&&Gt.type,ir;if(tr===\"FeatureCollection\")for(ir=0;ir<Gt.features.length;ir++)k(Gt.features[ir],wt);else if(tr===\"GeometryCollection\")for(ir=0;ir<Gt.geometries.length;ir++)k(Gt.geometries[ir],wt);else if(tr===\"Feature\")k(Gt.geometry,wt);else if(tr===\"Polygon\")M(Gt.coordinates,wt);else if(tr===\"MultiPolygon\")for(ir=0;ir<Gt.coordinates.length;ir++)M(Gt.coordinates[ir],wt);return Gt}function M(Gt,wt){if(Gt.length!==0){T(Gt[0],wt);for(var tr=1;tr<Gt.length;tr++)T(Gt[tr],!wt)}}function T(Gt,wt){for(var tr=0,ir=0,wr=Gt.length,Xr=wr-1;ir<wr;Xr=ir++)tr+=(Gt[ir][0]-Gt[Xr][0])*(Gt[Xr][1]+Gt[ir][1]);tr>=0!=!!wt&&Gt.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,x=function(wt){this._feature=wt,this.extent=i.EXTENT,this.type=wt.type,this.properties=wt.tags,\"id\"in wt&&!isNaN(wt.id)&&(this.id=parseInt(wt.id,10))};x.prototype.loadGeometry=function(){if(this._feature.type===1){for(var wt=[],tr=0,ir=this._feature.geometry;tr<ir.length;tr+=1){var wr=ir[tr];wt.push([new i.Point$1(wr[0],wr[1])])}return wt}else{for(var Xr=[],ti=0,$r=this._feature.geometry;ti<$r.length;ti+=1){for(var Ri=$r[ti],Hi=[],en=0,fn=Ri;en<fn.length;en+=1){var yn=fn[en];Hi.push(new i.Point$1(yn[0],yn[1]))}Xr.push(Hi)}return Xr}},x.prototype.toGeoJSON=function(wt,tr,ir){return L.call(this,wt,tr,ir)};var C=function(wt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=wt.length,this._features=wt};C.prototype.feature=function(wt){return new x(this._features[wt])};var S=i.vectorTile.VectorTileFeature,g=P;function P(Gt,wt){this.options=wt||{},this.features=Gt,this.length=Gt.length}P.prototype.feature=function(Gt){return new E(this.features[Gt],this.options.extent)};function E(Gt,wt){this.id=typeof Gt.id==\"number\"?Gt.id:void 0,this.type=Gt.type,this.rawGeometry=Gt.type===1?[Gt.geometry]:Gt.geometry,this.properties=Gt.tags,this.extent=wt||4096}E.prototype.loadGeometry=function(){var Gt=this.rawGeometry;this.geometry=[];for(var wt=0;wt<Gt.length;wt++){for(var tr=Gt[wt],ir=[],wr=0;wr<tr.length;wr++)ir.push(new i.Point$1(tr[wr][0],tr[wr][1]));this.geometry.push(ir)}return this.geometry},E.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var Gt=this.geometry,wt=1/0,tr=-1/0,ir=1/0,wr=-1/0,Xr=0;Xr<Gt.length;Xr++)for(var ti=Gt[Xr],$r=0;$r<ti.length;$r++){var Ri=ti[$r];wt=Math.min(wt,Ri.x),tr=Math.max(tr,Ri.x),ir=Math.min(ir,Ri.y),wr=Math.max(wr,Ri.y)}return[wt,ir,tr,wr]},E.prototype.toGeoJSON=S.prototype.toGeoJSON;var z=Z,q=Z,V=j,G=g;function Z(Gt){var wt=new i.pbf;return N(Gt,wt),wt.finish()}function j(Gt,wt){wt=wt||{};var tr={};for(var ir in Gt)tr[ir]=new g(Gt[ir].features,wt),tr[ir].name=ir,tr[ir].version=wt.version,tr[ir].extent=wt.extent;return Z({layers:tr})}function N(Gt,wt){for(var tr in Gt.layers)wt.writeMessage(3,H,Gt.layers[tr])}function H(Gt,wt){wt.writeVarintField(15,Gt.version||1),wt.writeStringField(1,Gt.name||\"\"),wt.writeVarintField(5,Gt.extent||4096);var tr,ir={keys:[],values:[],keycache:{},valuecache:{}};for(tr=0;tr<Gt.length;tr++)ir.feature=Gt.feature(tr),wt.writeMessage(2,re,ir);var wr=ir.keys;for(tr=0;tr<wr.length;tr++)wt.writeStringField(3,wr[tr]);var Xr=ir.values;for(tr=0;tr<Xr.length;tr++)wt.writeMessage(4,ge,Xr[tr])}function re(Gt,wt){var tr=Gt.feature;tr.id!==void 0&&wt.writeVarintField(1,tr.id),wt.writeMessage(2,ae,Gt),wt.writeVarintField(3,tr.type),wt.writeMessage(4,Ce,tr)}function ae(Gt,wt){var tr=Gt.feature,ir=Gt.keys,wr=Gt.values,Xr=Gt.keycache,ti=Gt.valuecache;for(var $r in tr.properties){var Ri=Xr[$r];typeof Ri==\"undefined\"&&(ir.push($r),Ri=ir.length-1,Xr[$r]=Ri),wt.writeVarint(Ri);var Hi=tr.properties[$r],en=typeof Hi;en!==\"string\"&&en!==\"boolean\"&&en!==\"number\"&&(Hi=JSON.stringify(Hi));var fn=en+\":\"+Hi,yn=ti[fn];typeof yn==\"undefined\"&&(wr.push(Hi),yn=wr.length-1,ti[fn]=yn),wt.writeVarint(yn)}}function _e(Gt,wt){return(wt<<3)+(Gt&7)}function Ee(Gt){return Gt<<1^Gt>>31}function Ce(Gt,wt){for(var tr=Gt.loadGeometry(),ir=Gt.type,wr=0,Xr=0,ti=tr.length,$r=0;$r<ti;$r++){var Ri=tr[$r],Hi=1;ir===1&&(Hi=Ri.length),wt.writeVarint(_e(1,Hi));for(var en=ir===3?Ri.length-1:Ri.length,fn=0;fn<en;fn++){fn===1&&ir!==1&&wt.writeVarint(_e(2,en-1));var yn=Ri[fn].x-wr,Mn=Ri[fn].y-Xr;wt.writeVarint(Ee(yn)),wt.writeVarint(Ee(Mn)),wr+=yn,Xr+=Mn}ir===3&&wt.writeVarint(_e(7,1))}}function ge(Gt,wt){var tr=typeof Gt;tr===\"string\"?wt.writeStringField(1,Gt):tr===\"boolean\"?wt.writeBooleanField(7,Gt):tr===\"number\"&&(Gt%1!==0?wt.writeDoubleField(3,Gt):Gt<0?wt.writeSVarintField(6,Gt):wt.writeVarintField(5,Gt))}z.fromVectorTileJs=q,z.fromGeojsonVt=V,z.GeoJSONWrapper=G;function ie(Gt,wt,tr,ir,wr,Xr){if(!(wr-ir<=tr)){var ti=ir+wr>>1;Se(Gt,wt,ti,ir,wr,Xr%2),ie(Gt,wt,tr,ir,ti-1,Xr+1),ie(Gt,wt,tr,ti+1,wr,Xr+1)}}function Se(Gt,wt,tr,ir,wr,Xr){for(;wr>ir;){if(wr-ir>600){var ti=wr-ir+1,$r=tr-ir+1,Ri=Math.log(ti),Hi=.5*Math.exp(2*Ri/3),en=.5*Math.sqrt(Ri*Hi*(ti-Hi)/ti)*($r-ti/2<0?-1:1),fn=Math.max(ir,Math.floor(tr-$r*Hi/ti+en)),yn=Math.min(wr,Math.floor(tr+(ti-$r)*Hi/ti+en));Se(Gt,wt,tr,fn,yn,Xr)}var Mn=wt[2*tr+Xr],Ba=ir,ua=wr;for(ke(Gt,wt,ir,tr),wt[2*wr+Xr]>Mn&&ke(Gt,wt,ir,wr);Ba<ua;){for(ke(Gt,wt,Ba,ua),Ba++,ua--;wt[2*Ba+Xr]<Mn;)Ba++;for(;wt[2*ua+Xr]>Mn;)ua--}wt[2*ir+Xr]===Mn?ke(Gt,wt,ir,ua):(ua++,ke(Gt,wt,ua,wr)),ua<=tr&&(ir=ua+1),tr<=ua&&(wr=ua-1)}}function ke(Gt,wt,tr,ir){be(Gt,tr,ir),be(wt,2*tr,2*ir),be(wt,2*tr+1,2*ir+1)}function be(Gt,wt,tr){var ir=Gt[wt];Gt[wt]=Gt[tr],Gt[tr]=ir}function Be(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=[0,Gt.length-1,0],Ri=[],Hi,en;$r.length;){var fn=$r.pop(),yn=$r.pop(),Mn=$r.pop();if(yn-Mn<=ti){for(var Ba=Mn;Ba<=yn;Ba++)Hi=wt[2*Ba],en=wt[2*Ba+1],Hi>=tr&&Hi<=wr&&en>=ir&&en<=Xr&&Ri.push(Gt[Ba]);continue}var ua=Math.floor((Mn+yn)/2);Hi=wt[2*ua],en=wt[2*ua+1],Hi>=tr&&Hi<=wr&&en>=ir&&en<=Xr&&Ri.push(Gt[ua]);var ma=(fn+1)%2;(fn===0?tr<=Hi:ir<=en)&&($r.push(Mn),$r.push(ua-1),$r.push(ma)),(fn===0?wr>=Hi:Xr>=en)&&($r.push(ua+1),$r.push(yn),$r.push(ma))}return Ri}function Le(Gt,wt,tr,ir,wr,Xr){for(var ti=[0,Gt.length-1,0],$r=[],Ri=wr*wr;ti.length;){var Hi=ti.pop(),en=ti.pop(),fn=ti.pop();if(en-fn<=Xr){for(var yn=fn;yn<=en;yn++)me(wt[2*yn],wt[2*yn+1],tr,ir)<=Ri&&$r.push(Gt[yn]);continue}var Mn=Math.floor((fn+en)/2),Ba=wt[2*Mn],ua=wt[2*Mn+1];me(Ba,ua,tr,ir)<=Ri&&$r.push(Gt[Mn]);var ma=(Hi+1)%2;(Hi===0?tr-wr<=Ba:ir-wr<=ua)&&(ti.push(fn),ti.push(Mn-1),ti.push(ma)),(Hi===0?tr+wr>=Ba:ir+wr>=ua)&&(ti.push(Mn+1),ti.push(en),ti.push(ma))}return $r}function me(Gt,wt,tr,ir){var wr=Gt-tr,Xr=wt-ir;return wr*wr+Xr*Xr}var Pe=function(Gt){return Gt[0]},ce=function(Gt){return Gt[1]},He=function(wt,tr,ir,wr,Xr){tr===void 0&&(tr=Pe),ir===void 0&&(ir=ce),wr===void 0&&(wr=64),Xr===void 0&&(Xr=Float64Array),this.nodeSize=wr,this.points=wt;for(var ti=wt.length<65536?Uint16Array:Uint32Array,$r=this.ids=new ti(wt.length),Ri=this.coords=new Xr(wt.length*2),Hi=0;Hi<wt.length;Hi++)$r[Hi]=Hi,Ri[2*Hi]=tr(wt[Hi]),Ri[2*Hi+1]=ir(wt[Hi]);ie($r,Ri,wr,0,$r.length-1,0)};He.prototype.range=function(wt,tr,ir,wr){return Be(this.ids,this.coords,wt,tr,ir,wr,this.nodeSize)},He.prototype.within=function(wt,tr,ir){return Le(this.ids,this.coords,wt,tr,ir,this.nodeSize)};var lt={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(Gt){return Gt}},mt=function(wt){this.options=Ue(Object.create(lt),wt),this.trees=new Array(this.options.maxZoom+1)};mt.prototype.load=function(wt){var tr=this.options,ir=tr.log,wr=tr.minZoom,Xr=tr.maxZoom,ti=tr.nodeSize;ir&&console.time(\"total time\");var $r=\"prepare \"+wt.length+\" points\";ir&&console.time($r),this.points=wt;for(var Ri=[],Hi=0;Hi<wt.length;Hi++)wt[Hi].geometry&&Ri.push(at(wt[Hi],Hi));this.trees[Xr+1]=new He(Ri,Ae,rt,ti,Float32Array),ir&&console.timeEnd($r);for(var en=Xr;en>=wr;en--){var fn=+Date.now();Ri=this._cluster(Ri,en),this.trees[en]=new He(Ri,Ae,rt,ti,Float32Array),ir&&console.log(\"z%d: %d clusters in %dms\",en,Ri.length,+Date.now()-fn)}return ir&&console.timeEnd(\"total time\"),this},mt.prototype.getClusters=function(wt,tr){var ir=((wt[0]+180)%360+360)%360-180,wr=Math.max(-90,Math.min(90,wt[1])),Xr=wt[2]===180?180:((wt[2]+180)%360+360)%360-180,ti=Math.max(-90,Math.min(90,wt[3]));if(wt[2]-wt[0]>=360)ir=-180,Xr=180;else if(ir>Xr){var $r=this.getClusters([ir,wr,180,ti],tr),Ri=this.getClusters([-180,wr,Xr,ti],tr);return $r.concat(Ri)}for(var Hi=this.trees[this._limitZoom(tr)],en=Hi.range(Vt(ir),rr(ti),Vt(Xr),rr(wr)),fn=[],yn=0,Mn=en;yn<Mn.length;yn+=1){var Ba=Mn[yn],ua=Hi.points[Ba];fn.push(ua.numPoints?ct(ua):this.points[ua.index])}return fn},mt.prototype.getChildren=function(wt){var tr=this._getOriginId(wt),ir=this._getOriginZoom(wt),wr=\"No cluster with the specified id.\",Xr=this.trees[ir];if(!Xr)throw new Error(wr);var ti=Xr.points[tr];if(!ti)throw new Error(wr);for(var $r=this.options.radius/(this.options.extent*Math.pow(2,ir-1)),Ri=Xr.within(ti.x,ti.y,$r),Hi=[],en=0,fn=Ri;en<fn.length;en+=1){var yn=fn[en],Mn=Xr.points[yn];Mn.parentId===wt&&Hi.push(Mn.numPoints?ct(Mn):this.points[Mn.index])}if(Hi.length===0)throw new Error(wr);return Hi},mt.prototype.getLeaves=function(wt,tr,ir){tr=tr||10,ir=ir||0;var wr=[];return this._appendLeaves(wr,wt,tr,ir,0),wr},mt.prototype.getTile=function(wt,tr,ir){var wr=this.trees[this._limitZoom(wt)],Xr=Math.pow(2,wt),ti=this.options,$r=ti.extent,Ri=ti.radius,Hi=Ri/$r,en=(ir-Hi)/Xr,fn=(ir+1+Hi)/Xr,yn={features:[]};return this._addTileFeatures(wr.range((tr-Hi)/Xr,en,(tr+1+Hi)/Xr,fn),wr.points,tr,ir,Xr,yn),tr===0&&this._addTileFeatures(wr.range(1-Hi/Xr,en,1,fn),wr.points,Xr,ir,Xr,yn),tr===Xr-1&&this._addTileFeatures(wr.range(0,en,Hi/Xr,fn),wr.points,-1,ir,Xr,yn),yn.features.length?yn:null},mt.prototype.getClusterExpansionZoom=function(wt){for(var tr=this._getOriginZoom(wt)-1;tr<=this.options.maxZoom;){var ir=this.getChildren(wt);if(tr++,ir.length!==1)break;wt=ir[0].properties.cluster_id}return tr},mt.prototype._appendLeaves=function(wt,tr,ir,wr,Xr){for(var ti=this.getChildren(tr),$r=0,Ri=ti;$r<Ri.length;$r+=1){var Hi=Ri[$r],en=Hi.properties;if(en&&en.cluster?Xr+en.point_count<=wr?Xr+=en.point_count:Xr=this._appendLeaves(wt,en.cluster_id,ir,wr,Xr):Xr<wr?Xr++:wt.push(Hi),wt.length===ir)break}return Xr},mt.prototype._addTileFeatures=function(wt,tr,ir,wr,Xr,ti){for(var $r=0,Ri=wt;$r<Ri.length;$r+=1){var Hi=Ri[$r],en=tr[Hi],fn=en.numPoints,yn={type:1,geometry:[[Math.round(this.options.extent*(en.x*Xr-ir)),Math.round(this.options.extent*(en.y*Xr-wr))]],tags:fn?ar(en):this.points[en.index].properties},Mn=void 0;fn?Mn=en.id:this.options.generateId?Mn=en.index:this.points[en.index].id&&(Mn=this.points[en.index].id),Mn!==void 0&&(yn.id=Mn),ti.features.push(yn)}},mt.prototype._limitZoom=function(wt){return Math.max(this.options.minZoom,Math.min(+wt,this.options.maxZoom+1))},mt.prototype._cluster=function(wt,tr){for(var ir=[],wr=this.options,Xr=wr.radius,ti=wr.extent,$r=wr.reduce,Ri=wr.minPoints,Hi=Xr/(ti*Math.pow(2,tr)),en=0;en<wt.length;en++){var fn=wt[en];if(!(fn.zoom<=tr)){fn.zoom=tr;for(var yn=this.trees[tr+1],Mn=yn.within(fn.x,fn.y,Hi),Ba=fn.numPoints||1,ua=Ba,ma=0,Wa=Mn;ma<Wa.length;ma+=1){var za=Wa[ma],Xo=yn.points[za];Xo.zoom>tr&&(ua+=Xo.numPoints||1)}if(ua>=Ri){for(var da=fn.x*Ba,jn=fn.y*Ba,Ha=$r&&Ba>1?this._map(fn,!0):null,vo=(en<<5)+(tr+1)+this.points.length,Gn=0,Ct=Mn;Gn<Ct.length;Gn+=1){var Sr=Ct[Gn],Jr=yn.points[Sr];if(!(Jr.zoom<=tr)){Jr.zoom=tr;var hi=Jr.numPoints||1;da+=Jr.x*hi,jn+=Jr.y*hi,Jr.parentId=vo,$r&&(Ha||(Ha=this._map(fn,!0)),$r(Ha,this._map(Jr)))}}fn.parentId=vo,ir.push(Ht(da/ua,jn/ua,vo,ua,Ha))}else if(ir.push(fn),ua>1)for(var hn=0,Sn=Mn;hn<Sn.length;hn+=1){var En=Sn[hn],ki=yn.points[En];ki.zoom<=tr||(ki.zoom=tr,ir.push(ki))}}}return ir},mt.prototype._getOriginId=function(wt){return wt-this.points.length>>5},mt.prototype._getOriginZoom=function(wt){return(wt-this.points.length)%32},mt.prototype._map=function(wt,tr){if(wt.numPoints)return tr?Ue({},wt.properties):wt.properties;var ir=this.points[wt.index].properties,wr=this.options.map(ir);return tr&&wr===ir?Ue({},wr):wr};function Ht(Gt,wt,tr,ir,wr){return{x:Gt,y:wt,zoom:1/0,id:tr,parentId:-1,numPoints:ir,properties:wr}}function at(Gt,wt){var tr=Gt.geometry.coordinates,ir=tr[0],wr=tr[1];return{x:Vt(ir),y:rr(wr),zoom:1/0,index:wt,parentId:-1}}function ct(Gt){return{type:\"Feature\",id:Gt.id,properties:ar(Gt),geometry:{type:\"Point\",coordinates:[tt(Gt.x),je(Gt.y)]}}}function ar(Gt){var wt=Gt.numPoints,tr=wt>=1e4?Math.round(wt/1e3)+\"k\":wt>=1e3?Math.round(wt/100)/10+\"k\":wt;return Ue(Ue({},Gt.properties),{cluster:!0,cluster_id:Gt.id,point_count:wt,point_count_abbreviated:tr})}function Vt(Gt){return Gt/360+.5}function rr(Gt){var wt=Math.sin(Gt*Math.PI/180),tr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return tr<0?0:tr>1?1:tr}function tt(Gt){return(Gt-.5)*360}function je(Gt){var wt=(180-Gt*360)*Math.PI/180;return 360*Math.atan(Math.exp(wt))/Math.PI-90}function Ue(Gt,wt){for(var tr in wt)Gt[tr]=wt[tr];return Gt}function Ae(Gt){return Gt.x}function rt(Gt){return Gt.y}function St(Gt,wt,tr,ir){for(var wr=ir,Xr=tr-wt>>1,ti=tr-wt,$r,Ri=Gt[wt],Hi=Gt[wt+1],en=Gt[tr],fn=Gt[tr+1],yn=wt+3;yn<tr;yn+=3){var Mn=Tt(Gt[yn],Gt[yn+1],Ri,Hi,en,fn);if(Mn>wr)$r=yn,wr=Mn;else if(Mn===wr){var Ba=Math.abs(yn-Xr);Ba<ti&&($r=yn,ti=Ba)}}wr>ir&&($r-wt>3&&St(Gt,wt,$r,ir),Gt[$r+2]=wr,tr-$r>3&&St(Gt,$r,tr,ir))}function Tt(Gt,wt,tr,ir,wr,Xr){var ti=wr-tr,$r=Xr-ir;if(ti!==0||$r!==0){var Ri=((Gt-tr)*ti+(wt-ir)*$r)/(ti*ti+$r*$r);Ri>1?(tr=wr,ir=Xr):Ri>0&&(tr+=ti*Ri,ir+=$r*Ri)}return ti=Gt-tr,$r=wt-ir,ti*ti+$r*$r}function dt(Gt,wt,tr,ir){var wr={id:typeof Gt==\"undefined\"?null:Gt,type:wt,geometry:tr,tags:ir,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Et(wr),wr}function Et(Gt){var wt=Gt.geometry,tr=Gt.type;if(tr===\"Point\"||tr===\"MultiPoint\"||tr===\"LineString\")pt(Gt,wt);else if(tr===\"Polygon\"||tr===\"MultiLineString\")for(var ir=0;ir<wt.length;ir++)pt(Gt,wt[ir]);else if(tr===\"MultiPolygon\")for(ir=0;ir<wt.length;ir++)for(var wr=0;wr<wt[ir].length;wr++)pt(Gt,wt[ir][wr])}function pt(Gt,wt){for(var tr=0;tr<wt.length;tr+=3)Gt.minX=Math.min(Gt.minX,wt[tr]),Gt.minY=Math.min(Gt.minY,wt[tr+1]),Gt.maxX=Math.max(Gt.maxX,wt[tr]),Gt.maxY=Math.max(Gt.maxY,wt[tr+1])}function jt(Gt,wt){var tr=[];if(Gt.type===\"FeatureCollection\")for(var ir=0;ir<Gt.features.length;ir++)or(tr,Gt.features[ir],wt,ir);else Gt.type===\"Feature\"?or(tr,Gt,wt):or(tr,{geometry:Gt},wt);return tr}function or(Gt,wt,tr,ir){if(wt.geometry){var wr=wt.geometry.coordinates,Xr=wt.geometry.type,ti=Math.pow(tr.tolerance/((1<<tr.maxZoom)*tr.extent),2),$r=[],Ri=wt.id;if(tr.promoteId?Ri=wt.properties[tr.promoteId]:tr.generateId&&(Ri=ir||0),Xr===\"Point\")mr(wr,$r);else if(Xr===\"MultiPoint\")for(var Hi=0;Hi<wr.length;Hi++)mr(wr[Hi],$r);else if(Xr===\"LineString\")Ar(wr,$r,ti,!1);else if(Xr===\"MultiLineString\")if(tr.lineMetrics){for(Hi=0;Hi<wr.length;Hi++)$r=[],Ar(wr[Hi],$r,ti,!1),Gt.push(dt(Ri,\"LineString\",$r,wt.properties));return}else ei(wr,$r,ti,!1);else if(Xr===\"Polygon\")ei(wr,$r,ti,!0);else if(Xr===\"MultiPolygon\")for(Hi=0;Hi<wr.length;Hi++){var en=[];ei(wr[Hi],en,ti,!0),$r.push(en)}else if(Xr===\"GeometryCollection\"){for(Hi=0;Hi<wt.geometry.geometries.length;Hi++)or(Gt,{id:Ri,geometry:wt.geometry.geometries[Hi],properties:wt.properties},tr,ir);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");Gt.push(dt(Ri,Xr,$r,wt.properties))}}function mr(Gt,wt){wt.push(qr(Gt[0])),wt.push(jr(Gt[1])),wt.push(0)}function Ar(Gt,wt,tr,ir){for(var wr,Xr,ti=0,$r=0;$r<Gt.length;$r++){var Ri=qr(Gt[$r][0]),Hi=jr(Gt[$r][1]);wt.push(Ri),wt.push(Hi),wt.push(0),$r>0&&(ir?ti+=(wr*Hi-Ri*Xr)/2:ti+=Math.sqrt(Math.pow(Ri-wr,2)+Math.pow(Hi-Xr,2))),wr=Ri,Xr=Hi}var en=wt.length-3;wt[2]=1,St(wt,0,en,tr),wt[en+2]=1,wt.size=Math.abs(ti),wt.start=0,wt.end=wt.size}function ei(Gt,wt,tr,ir){for(var wr=0;wr<Gt.length;wr++){var Xr=[];Ar(Gt[wr],Xr,tr,ir),wt.push(Xr)}}function qr(Gt){return Gt/360+.5}function jr(Gt){var wt=Math.sin(Gt*Math.PI/180),tr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return tr<0?0:tr>1?1:tr}function gt(Gt,wt,tr,ir,wr,Xr,ti,$r){if(tr/=wt,ir/=wt,Xr>=tr&&ti<ir)return Gt;if(ti<tr||Xr>=ir)return null;for(var Ri=[],Hi=0;Hi<Gt.length;Hi++){var en=Gt[Hi],fn=en.geometry,yn=en.type,Mn=wr===0?en.minX:en.minY,Ba=wr===0?en.maxX:en.maxY;if(Mn>=tr&&Ba<ir){Ri.push(en);continue}else if(Ba<tr||Mn>=ir)continue;var ua=[];if(yn===\"Point\"||yn===\"MultiPoint\")Ge(fn,ua,tr,ir,wr);else if(yn===\"LineString\")Je(fn,ua,tr,ir,wr,!1,$r.lineMetrics);else if(yn===\"MultiLineString\")et(fn,ua,tr,ir,wr,!1);else if(yn===\"Polygon\")et(fn,ua,tr,ir,wr,!0);else if(yn===\"MultiPolygon\")for(var ma=0;ma<fn.length;ma++){var Wa=[];et(fn[ma],Wa,tr,ir,wr,!0),Wa.length&&ua.push(Wa)}if(ua.length){if($r.lineMetrics&&yn===\"LineString\"){for(ma=0;ma<ua.length;ma++)Ri.push(dt(en.id,yn,ua[ma],en.tags));continue}(yn===\"LineString\"||yn===\"MultiLineString\")&&(ua.length===1?(yn=\"LineString\",ua=ua[0]):yn=\"MultiLineString\"),(yn===\"Point\"||yn===\"MultiPoint\")&&(yn=ua.length===3?\"Point\":\"MultiPoint\"),Ri.push(dt(en.id,yn,ua,en.tags))}}return Ri.length?Ri:null}function Ge(Gt,wt,tr,ir,wr){for(var Xr=0;Xr<Gt.length;Xr+=3){var ti=Gt[Xr+wr];ti>=tr&&ti<=ir&&(wt.push(Gt[Xr]),wt.push(Gt[Xr+1]),wt.push(Gt[Xr+2]))}}function Je(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=We(Gt),Ri=wr===0?At:Kt,Hi=Gt.start,en,fn,yn=0;yn<Gt.length-3;yn+=3){var Mn=Gt[yn],Ba=Gt[yn+1],ua=Gt[yn+2],ma=Gt[yn+3],Wa=Gt[yn+4],za=wr===0?Mn:Ba,Xo=wr===0?ma:Wa,da=!1;ti&&(en=Math.sqrt(Math.pow(Mn-ma,2)+Math.pow(Ba-Wa,2))),za<tr?Xo>tr&&(fn=Ri($r,Mn,Ba,ma,Wa,tr),ti&&($r.start=Hi+en*fn)):za>ir?Xo<ir&&(fn=Ri($r,Mn,Ba,ma,Wa,ir),ti&&($r.start=Hi+en*fn)):xt($r,Mn,Ba,ua),Xo<tr&&za>=tr&&(fn=Ri($r,Mn,Ba,ma,Wa,tr),da=!0),Xo>ir&&za<=ir&&(fn=Ri($r,Mn,Ba,ma,Wa,ir),da=!0),!Xr&&da&&(ti&&($r.end=Hi+en*fn),wt.push($r),$r=We(Gt)),ti&&(Hi+=en)}var jn=Gt.length-3;Mn=Gt[jn],Ba=Gt[jn+1],ua=Gt[jn+2],za=wr===0?Mn:Ba,za>=tr&&za<=ir&&xt($r,Mn,Ba,ua),jn=$r.length-3,Xr&&jn>=3&&($r[jn]!==$r[0]||$r[jn+1]!==$r[1])&&xt($r,$r[0],$r[1],$r[2]),$r.length&&wt.push($r)}function We(Gt){var wt=[];return wt.size=Gt.size,wt.start=Gt.start,wt.end=Gt.end,wt}function et(Gt,wt,tr,ir,wr,Xr){for(var ti=0;ti<Gt.length;ti++)Je(Gt[ti],wt,tr,ir,wr,Xr,!1)}function xt(Gt,wt,tr,ir){Gt.push(wt),Gt.push(tr),Gt.push(ir)}function At(Gt,wt,tr,ir,wr,Xr){var ti=(Xr-wt)/(ir-wt);return Gt.push(Xr),Gt.push(tr+(wr-tr)*ti),Gt.push(1),ti}function Kt(Gt,wt,tr,ir,wr,Xr){var ti=(Xr-tr)/(wr-tr);return Gt.push(wt+(ir-wt)*ti),Gt.push(Xr),Gt.push(1),ti}function Qt(Gt,wt){var tr=wt.buffer/wt.extent,ir=Gt,wr=gt(Gt,1,-1-tr,tr,0,-1,2,wt),Xr=gt(Gt,1,1-tr,2+tr,0,-1,2,wt);return(wr||Xr)&&(ir=gt(Gt,1,-tr,1+tr,0,-1,2,wt)||[],wr&&(ir=Mr(wr,1).concat(ir)),Xr&&(ir=ir.concat(Mr(Xr,-1)))),ir}function Mr(Gt,wt){for(var tr=[],ir=0;ir<Gt.length;ir++){var wr=Gt[ir],Xr=wr.type,ti;if(Xr===\"Point\"||Xr===\"MultiPoint\"||Xr===\"LineString\")ti=Gr(wr.geometry,wt);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\"){ti=[];for(var $r=0;$r<wr.geometry.length;$r++)ti.push(Gr(wr.geometry[$r],wt))}else if(Xr===\"MultiPolygon\")for(ti=[],$r=0;$r<wr.geometry.length;$r++){for(var Ri=[],Hi=0;Hi<wr.geometry[$r].length;Hi++)Ri.push(Gr(wr.geometry[$r][Hi],wt));ti.push(Ri)}tr.push(dt(wr.id,Xr,ti,wr.tags))}return tr}function Gr(Gt,wt){var tr=[];tr.size=Gt.size,Gt.start!==void 0&&(tr.start=Gt.start,tr.end=Gt.end);for(var ir=0;ir<Gt.length;ir+=3)tr.push(Gt[ir]+wt,Gt[ir+1],Gt[ir+2]);return tr}function Ir(Gt,wt){if(Gt.transformed)return Gt;var tr=1<<Gt.z,ir=Gt.x,wr=Gt.y,Xr,ti,$r;for(Xr=0;Xr<Gt.features.length;Xr++){var Ri=Gt.features[Xr],Hi=Ri.geometry,en=Ri.type;if(Ri.geometry=[],en===1)for(ti=0;ti<Hi.length;ti+=2)Ri.geometry.push(Yr(Hi[ti],Hi[ti+1],wt,tr,ir,wr));else for(ti=0;ti<Hi.length;ti++){var fn=[];for($r=0;$r<Hi[ti].length;$r+=2)fn.push(Yr(Hi[ti][$r],Hi[ti][$r+1],wt,tr,ir,wr));Ri.geometry.push(fn)}}return Gt.transformed=!0,Gt}function Yr(Gt,wt,tr,ir,wr,Xr){return[Math.round(tr*(Gt*ir-wr)),Math.round(tr*(wt*ir-Xr))]}function _i(Gt,wt,tr,ir,wr){for(var Xr=wt===wr.maxZoom?0:wr.tolerance/((1<<wt)*wr.extent),ti={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:tr,y:ir,z:wt,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},$r=0;$r<Gt.length;$r++){ti.numFeatures++,Pi(ti,Gt[$r],Xr,wr);var Ri=Gt[$r].minX,Hi=Gt[$r].minY,en=Gt[$r].maxX,fn=Gt[$r].maxY;Ri<ti.minX&&(ti.minX=Ri),Hi<ti.minY&&(ti.minY=Hi),en>ti.maxX&&(ti.maxX=en),fn>ti.maxY&&(ti.maxY=fn)}return ti}function Pi(Gt,wt,tr,ir){var wr=wt.geometry,Xr=wt.type,ti=[];if(Xr===\"Point\"||Xr===\"MultiPoint\")for(var $r=0;$r<wr.length;$r+=3)ti.push(wr[$r]),ti.push(wr[$r+1]),Gt.numPoints++,Gt.numSimplified++;else if(Xr===\"LineString\")ai(ti,wr,Gt,tr,!1,!1);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\")for($r=0;$r<wr.length;$r++)ai(ti,wr[$r],Gt,tr,Xr===\"Polygon\",$r===0);else if(Xr===\"MultiPolygon\")for(var Ri=0;Ri<wr.length;Ri++){var Hi=wr[Ri];for($r=0;$r<Hi.length;$r++)ai(ti,Hi[$r],Gt,tr,!0,$r===0)}if(ti.length){var en=wt.tags||null;if(Xr===\"LineString\"&&ir.lineMetrics){en={};for(var fn in wt.tags)en[fn]=wt.tags[fn];en.mapbox_clip_start=wr.start/wr.size,en.mapbox_clip_end=wr.end/wr.size}var yn={geometry:ti,type:Xr===\"Polygon\"||Xr===\"MultiPolygon\"?3:Xr===\"LineString\"||Xr===\"MultiLineString\"?2:1,tags:en};wt.id!==null&&(yn.id=wt.id),Gt.features.push(yn)}}function ai(Gt,wt,tr,ir,wr,Xr){var ti=ir*ir;if(ir>0&&wt.size<(wr?ti:ir)){tr.numPoints+=wt.length/3;return}for(var $r=[],Ri=0;Ri<wt.length;Ri+=3)(ir===0||wt[Ri+2]>ti)&&(tr.numSimplified++,$r.push(wt[Ri]),$r.push(wt[Ri+1])),tr.numPoints++;wr&&mi($r,Xr),Gt.push($r)}function mi(Gt,wt){for(var tr=0,ir=0,wr=Gt.length,Xr=wr-2;ir<wr;Xr=ir,ir+=2)tr+=(Gt[ir]-Gt[Xr])*(Gt[ir+1]+Gt[Xr+1]);if(tr>0===wt)for(ir=0,wr=Gt.length;ir<wr/2;ir+=2){var ti=Gt[ir],$r=Gt[ir+1];Gt[ir]=Gt[wr-2-ir],Gt[ir+1]=Gt[wr-1-ir],Gt[wr-2-ir]=ti,Gt[wr-1-ir]=$r}}function un(Gt,wt){return new Fn(Gt,wt)}function Fn(Gt,wt){wt=this.options=Hn(Object.create(this.options),wt);var tr=wt.debug;if(tr&&console.time(\"preprocess data\"),wt.maxZoom<0||wt.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(wt.promoteId&&wt.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var ir=jt(Gt,wt);this.tiles={},this.tileCoords=[],tr&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",wt.indexMaxZoom,wt.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),ir=Qt(ir,wt),ir.length&&this.splitTile(ir,0,0,0),tr&&(ir.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}Fn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Fn.prototype.splitTile=function(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=[Gt,wt,tr,ir],Ri=this.options,Hi=Ri.debug;$r.length;){ir=$r.pop(),tr=$r.pop(),wt=$r.pop(),Gt=$r.pop();var en=1<<wt,fn=An(wt,tr,ir),yn=this.tiles[fn];if(!yn&&(Hi>1&&console.time(\"creation\"),yn=this.tiles[fn]=_i(Gt,wt,tr,ir,Ri),this.tileCoords.push({z:wt,x:tr,y:ir}),Hi)){Hi>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",wt,tr,ir,yn.numFeatures,yn.numPoints,yn.numSimplified),console.timeEnd(\"creation\"));var Mn=\"z\"+wt;this.stats[Mn]=(this.stats[Mn]||0)+1,this.total++}if(yn.source=Gt,wr){if(wt===Ri.maxZoom||wt===wr)continue;var Ba=1<<wr-wt;if(tr!==Math.floor(Xr/Ba)||ir!==Math.floor(ti/Ba))continue}else if(wt===Ri.indexMaxZoom||yn.numPoints<=Ri.indexMaxPoints)continue;if(yn.source=null,Gt.length!==0){Hi>1&&console.time(\"clipping\");var ua=.5*Ri.buffer/Ri.extent,ma=.5-ua,Wa=.5+ua,za=1+ua,Xo,da,jn,Ha,vo,Gn;Xo=da=jn=Ha=null,vo=gt(Gt,en,tr-ua,tr+Wa,0,yn.minX,yn.maxX,Ri),Gn=gt(Gt,en,tr+ma,tr+za,0,yn.minX,yn.maxX,Ri),Gt=null,vo&&(Xo=gt(vo,en,ir-ua,ir+Wa,1,yn.minY,yn.maxY,Ri),da=gt(vo,en,ir+ma,ir+za,1,yn.minY,yn.maxY,Ri),vo=null),Gn&&(jn=gt(Gn,en,ir-ua,ir+Wa,1,yn.minY,yn.maxY,Ri),Ha=gt(Gn,en,ir+ma,ir+za,1,yn.minY,yn.maxY,Ri),Gn=null),Hi>1&&console.timeEnd(\"clipping\"),$r.push(Xo||[],wt+1,tr*2,ir*2),$r.push(da||[],wt+1,tr*2,ir*2+1),$r.push(jn||[],wt+1,tr*2+1,ir*2),$r.push(Ha||[],wt+1,tr*2+1,ir*2+1)}}},Fn.prototype.getTile=function(Gt,wt,tr){var ir=this.options,wr=ir.extent,Xr=ir.debug;if(Gt<0||Gt>24)return null;var ti=1<<Gt;wt=(wt%ti+ti)%ti;var $r=An(Gt,wt,tr);if(this.tiles[$r])return Ir(this.tiles[$r],wr);Xr>1&&console.log(\"drilling down to z%d-%d-%d\",Gt,wt,tr);for(var Ri=Gt,Hi=wt,en=tr,fn;!fn&&Ri>0;)Ri--,Hi=Math.floor(Hi/2),en=Math.floor(en/2),fn=this.tiles[An(Ri,Hi,en)];return!fn||!fn.source?null:(Xr>1&&console.log(\"found parent tile z%d-%d-%d\",Ri,Hi,en),Xr>1&&console.time(\"drilling down\"),this.splitTile(fn.source,Ri,Hi,en,Gt,wt,tr),Xr>1&&console.timeEnd(\"drilling down\"),this.tiles[$r]?Ir(this.tiles[$r],wr):null)};function An(Gt,wt,tr){return((1<<Gt)*tr+wt)*32+Gt}function Hn(Gt,wt){for(var tr in wt)Gt[tr]=wt[tr];return Gt}function Qn(Gt,wt){var tr=Gt.tileID.canonical;if(!this._geoJSONIndex)return wt(null,null);var ir=this._geoJSONIndex.getTile(tr.z,tr.x,tr.y);if(!ir)return wt(null,null);var wr=new C(ir.features),Xr=z(wr);(Xr.byteOffset!==0||Xr.byteLength!==Xr.buffer.byteLength)&&(Xr=new Uint8Array(Xr)),wt(null,{vectorTile:wr,rawData:Xr.buffer})}var Vi=(function(Gt){function wt(tr,ir,wr,Xr){Gt.call(this,tr,ir,wr,Qn),Xr&&(this.loadGeoJSON=Xr)}return Gt&&(wt.__proto__=Gt),wt.prototype=Object.create(Gt&&Gt.prototype),wt.prototype.constructor=wt,wt.prototype.loadData=function(ir,wr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=wr,this._pendingLoadDataParams=ir,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},wt.prototype._loadData=function(){var ir=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var wr=this._pendingCallback,Xr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var ti=Xr&&Xr.request&&Xr.request.collectResourceTiming?new i.RequestPerformance(Xr.request):!1;this.loadGeoJSON(Xr,function($r,Ri){if($r||!Ri)return wr($r);if(typeof Ri!=\"object\")return wr(new Error(\"Input data given to '\"+Xr.source+\"' is not a valid GeoJSON object.\"));p(Ri,!0);try{if(Xr.filter){var Hi=i.createExpression(Xr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Hi.result===\"error\")throw new Error(Hi.value.map(function(Mn){return Mn.key+\": \"+Mn.message}).join(\", \"));var en=Ri.features.filter(function(Mn){return Hi.value.evaluate({zoom:0},Mn)});Ri={type:\"FeatureCollection\",features:en}}ir._geoJSONIndex=Xr.cluster?new mt(Jn(Xr)).load(Ri.features):un(Ri,Xr.geojsonVtOptions)}catch(Mn){return wr(Mn)}ir.loaded={};var fn={};if(ti){var yn=ti.finish();yn&&(fn.resourceTiming={},fn.resourceTiming[Xr.source]=JSON.parse(JSON.stringify(yn)))}wr(null,fn)})}},wt.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},wt.prototype.reloadTile=function(ir,wr){var Xr=this.loaded,ti=ir.uid;return Xr&&Xr[ti]?Gt.prototype.reloadTile.call(this,ir,wr):this.loadTile(ir,wr)},wt.prototype.loadGeoJSON=function(ir,wr){if(ir.request)i.getJSON(ir.request,wr);else if(typeof ir.data==\"string\")try{return wr(null,JSON.parse(ir.data))}catch(Xr){return wr(new Error(\"Input data given to '\"+ir.source+\"' is not a valid GeoJSON object.\"))}else return wr(new Error(\"Input data given to '\"+ir.source+\"' is not a valid GeoJSON object.\"))},wt.prototype.removeSource=function(ir,wr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),wr()},wt.prototype.getClusterExpansionZoom=function(ir,wr){try{wr(null,this._geoJSONIndex.getClusterExpansionZoom(ir.clusterId))}catch(Xr){wr(Xr)}},wt.prototype.getClusterChildren=function(ir,wr){try{wr(null,this._geoJSONIndex.getChildren(ir.clusterId))}catch(Xr){wr(Xr)}},wt.prototype.getClusterLeaves=function(ir,wr){try{wr(null,this._geoJSONIndex.getLeaves(ir.clusterId,ir.limit,ir.offset))}catch(Xr){wr(Xr)}},wt})(v);function Jn(Gt){var wt=Gt.superclusterOptions,tr=Gt.clusterProperties;if(!tr||!wt)return wt;for(var ir={},wr={},Xr={accumulated:null,zoom:0},ti={properties:null},$r=Object.keys(tr),Ri=0,Hi=$r;Ri<Hi.length;Ri+=1){var en=Hi[Ri],fn=tr[en],yn=fn[0],Mn=fn[1],Ba=i.createExpression(Mn),ua=i.createExpression(typeof yn==\"string\"?[yn,[\"accumulated\"],[\"get\",en]]:yn);ir[en]=Ba.value,wr[en]=ua.value}return wt.map=function(ma){ti.properties=ma;for(var Wa={},za=0,Xo=$r;za<Xo.length;za+=1){var da=Xo[za];Wa[da]=ir[da].evaluate(Xr,ti)}return Wa},wt.reduce=function(ma,Wa){ti.properties=Wa;for(var za=0,Xo=$r;za<Xo.length;za+=1){var da=Xo[za];Xr.accumulated=ma[da],ma[da]=wr[da].evaluate(Xr,ti)}},wt}var Yn=function(wt){var tr=this;this.self=wt,this.actor=new i.Actor(wt,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:v,geojson:Vi},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(ir,wr){if(tr.workerSourceTypes[ir])throw new Error('Worker source with name \"'+ir+'\" already registered.');tr.workerSourceTypes[ir]=wr},this.self.registerRTLTextPlugin=function(ir){if(i.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");i.plugin.applyArabicShaping=ir.applyArabicShaping,i.plugin.processBidirectionalText=ir.processBidirectionalText,i.plugin.processStyledBidirectionalText=ir.processStyledBidirectionalText}};return Yn.prototype.setReferrer=function(wt,tr){this.referrer=tr},Yn.prototype.setImages=function(wt,tr,ir){this.availableImages[wt]=tr;for(var wr in this.workerSources[wt]){var Xr=this.workerSources[wt][wr];for(var ti in Xr)Xr[ti].availableImages=tr}ir()},Yn.prototype.setLayers=function(wt,tr,ir){this.getLayerIndex(wt).replace(tr),ir()},Yn.prototype.updateLayers=function(wt,tr,ir){this.getLayerIndex(wt).update(tr.layers,tr.removedIds),ir()},Yn.prototype.loadTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).loadTile(tr,ir)},Yn.prototype.loadDEMTile=function(wt,tr,ir){this.getDEMWorkerSource(wt,tr.source).loadTile(tr,ir)},Yn.prototype.reloadTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).reloadTile(tr,ir)},Yn.prototype.abortTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).abortTile(tr,ir)},Yn.prototype.removeTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).removeTile(tr,ir)},Yn.prototype.removeDEMTile=function(wt,tr){this.getDEMWorkerSource(wt,tr.source).removeTile(tr)},Yn.prototype.removeSource=function(wt,tr,ir){if(!(!this.workerSources[wt]||!this.workerSources[wt][tr.type]||!this.workerSources[wt][tr.type][tr.source])){var wr=this.workerSources[wt][tr.type][tr.source];delete this.workerSources[wt][tr.type][tr.source],wr.removeSource!==void 0?wr.removeSource(tr,ir):ir()}},Yn.prototype.loadWorkerSource=function(wt,tr,ir){try{this.self.importScripts(tr.url),ir()}catch(wr){ir(wr.toString())}},Yn.prototype.syncRTLPluginState=function(wt,tr,ir){try{i.plugin.setState(tr);var wr=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&wr!=null){this.self.importScripts(wr);var Xr=i.plugin.isParsed(),ti=Xr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+wr);ir(ti,Xr)}}catch($r){ir($r.toString())}},Yn.prototype.getAvailableImages=function(wt){var tr=this.availableImages[wt];return tr||(tr=[]),tr},Yn.prototype.getLayerIndex=function(wt){var tr=this.layerIndexes[wt];return tr||(tr=this.layerIndexes[wt]=new l),tr},Yn.prototype.getWorkerSource=function(wt,tr,ir){var wr=this;if(this.workerSources[wt]||(this.workerSources[wt]={}),this.workerSources[wt][tr]||(this.workerSources[wt][tr]={}),!this.workerSources[wt][tr][ir]){var Xr={send:function(ti,$r,Ri){wr.actor.send(ti,$r,Ri,wt)}};this.workerSources[wt][tr][ir]=new this.workerSourceTypes[tr](Xr,this.getLayerIndex(wt),this.getAvailableImages(wt))}return this.workerSources[wt][tr][ir]},Yn.prototype.getDEMWorkerSource=function(wt,tr){return this.demWorkerSources[wt]||(this.demWorkerSources[wt]={}),this.demWorkerSources[wt][tr]||(this.demWorkerSources[wt][tr]=new b),this.demWorkerSources[wt][tr]},Yn.prototype.enforceCacheSizeLimit=function(wt,tr){i.enforceCacheSizeLimit(tr)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new Yn(self)),Yn}),n([\"./shared\"],function(i){\"use strict\";var 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Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray}function de(){return Function.prototype&&Function.prototype.bind}function ne(){return Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions}function we(){return\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON}function Oe(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var It=new Blob([\"\"],{type:\"text/javascript\"}),Bt=URL.createObjectURL(It),Ft,Ut;try{Ut=new Worker(Bt),Ft=!0}catch(zt){Ft=!1}return Ut&&Ut.terminate(),URL.revokeObjectURL(Bt),Ft}function ht(){return\"Uint8ClampedArray\"in 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O&&h?Y.addEventListener(D,J,O):Y.addEventListener(D,J,O.capture)},o.removeEventListener=function(Y,D,J,O){O===void 0&&(O={}),\"passive\"in O&&h?Y.removeEventListener(D,J,O):Y.removeEventListener(D,J,O.capture)};var v=function(Y){Y.preventDefault(),Y.stopPropagation(),i.window.removeEventListener(\"click\",v,!0)};o.suppressClick=function(){i.window.addEventListener(\"click\",v,!0),i.window.setTimeout(function(){i.window.removeEventListener(\"click\",v,!0)},0)},o.mousePos=function(Y,D){var J=Y.getBoundingClientRect();return new i.Point(D.clientX-J.left-Y.clientLeft,D.clientY-J.top-Y.clientTop)},o.touchPos=function(Y,D){for(var J=Y.getBoundingClientRect(),O=[],K=0;K<D.length;K++)O.push(new i.Point(D[K].clientX-J.left-Y.clientLeft,D[K].clientY-J.top-Y.clientTop));return O},o.mouseButton=function(Y){return typeof i.window.InstallTrigger!=\"undefined\"&&Y.button===2&&Y.ctrlKey&&i.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:Y.button},o.remove=function(Y){Y.parentNode&&Y.parentNode.removeChild(Y)};function m(Y,D,J){var O,K,de,ne=i.browser.devicePixelRatio>1?\"@2x\":\"\",we=i.getJSON(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".json\"),i.ResourceType.SpriteJSON),function(Yt,cr){we=null,de||(de=Yt,O=cr,ht())}),Oe=i.getImage(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".png\"),i.ResourceType.SpriteImage),function(Yt,cr){Oe=null,de||(de=Yt,K=cr,ht())});function ht(){if(de)J(de);else if(O&&K){var Yt=i.browser.getImageData(K),cr={};for(var Nt in O){var Ne=O[Nt],$e=Ne.width,st=Ne.height,It=Ne.x,Bt=Ne.y,Ft=Ne.sdf,Ut=Ne.pixelRatio,zt=Ne.stretchX,_t=Ne.stretchY,Dt=Ne.content,vt=new i.RGBAImage({width:$e,height:st});i.RGBAImage.copy(Yt,vt,{x:It,y:Bt},{x:0,y:0},{width:$e,height:st}),cr[Nt]={data:vt,pixelRatio:Ut,sdf:Ft,stretchX:zt,stretchY:_t,content:Dt}}J(null,cr)}}return{cancel:function(){we&&(we.cancel(),we=null),Oe&&(Oe.cancel(),Oe=null)}}}function b(Y){var D=Y.userImage;if(D&&D.render){var J=D.render();if(J)return Y.data.replace(new Uint8Array(D.data.buffer)),!0}return!1}var p=1,k=(function(Y){function D(){Y.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new i.RGBAImage({width:1,height:1}),this.dirty=!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.isLoaded=function(){return this.loaded},D.prototype.setLoaded=function(O){if(this.loaded!==O&&(this.loaded=O,O)){for(var K=0,de=this.requestors;K<de.length;K+=1){var ne=de[K],we=ne.ids,Oe=ne.callback;this._notify(we,Oe)}this.requestors=[]}},D.prototype.getImage=function(O){return this.images[O]},D.prototype.addImage=function(O,K){this._validate(O,K)&&(this.images[O]=K)},D.prototype._validate=function(O,K){var de=!0;return this._validateStretch(K.stretchX,K.data&&K.data.width)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"stretchX\" value'))),de=!1),this._validateStretch(K.stretchY,K.data&&K.data.height)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"stretchY\" value'))),de=!1),this._validateContent(K.content,K)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"content\" value'))),de=!1),de},D.prototype._validateStretch=function(O,K){if(!O)return!0;for(var de=0,ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];if(Oe[0]<de||Oe[1]<Oe[0]||K<Oe[1])return!1;de=Oe[1]}return!0},D.prototype._validateContent=function(O,K){return O?!(O.length!==4||O[0]<0||K.data.width<O[0]||O[1]<0||K.data.height<O[1]||O[2]<0||K.data.width<O[2]||O[3]<0||K.data.height<O[3]||O[2]<O[0]||O[3]<O[1]):!0},D.prototype.updateImage=function(O,K){var de=this.images[O];K.version=de.version+1,this.images[O]=K,this.updatedImages[O]=!0},D.prototype.removeImage=function(O){var K=this.images[O];delete this.images[O],delete this.patterns[O],K.userImage&&K.userImage.onRemove&&K.userImage.onRemove()},D.prototype.listImages=function(){return Object.keys(this.images)},D.prototype.getImages=function(O,K){var de=!0;if(!this.isLoaded())for(var ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];this.images[Oe]||(de=!1)}this.isLoaded()||de?this._notify(O,K):this.requestors.push({ids:O,callback:K})},D.prototype._notify=function(O,K){for(var de={},ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];this.images[Oe]||this.fire(new i.Event(\"styleimagemissing\",{id:Oe}));var ht=this.images[Oe];ht?de[Oe]={data:ht.data.clone(),pixelRatio:ht.pixelRatio,sdf:ht.sdf,version:ht.version,stretchX:ht.stretchX,stretchY:ht.stretchY,content:ht.content,hasRenderCallback:!!(ht.userImage&&ht.userImage.render)}:i.warnOnce('Image \"'+Oe+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}K(null,de)},D.prototype.getPixelSize=function(){var O=this.atlasImage,K=O.width,de=O.height;return{width:K,height:de}},D.prototype.getPattern=function(O){var K=this.patterns[O],de=this.getImage(O);if(!de)return null;if(K&&K.position.version===de.version)return K.position;if(K)K.position.version=de.version;else{var ne=de.data.width+p*2,we=de.data.height+p*2,Oe={w:ne,h:we,x:0,y:0},ht=new i.ImagePosition(Oe,de);this.patterns[O]={bin:Oe,position:ht}}return this._updatePatternAtlas(),this.patterns[O].position},D.prototype.bind=function(O){var K=O.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new i.Texture(O,this.atlasImage,K.RGBA),this.atlasTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE)},D.prototype._updatePatternAtlas=function(){var O=[];for(var K in this.patterns)O.push(this.patterns[K].bin);var de=i.potpack(O),ne=de.w,we=de.h,Oe=this.atlasImage;Oe.resize({width:ne||1,height:we||1});for(var ht in this.patterns){var Yt=this.patterns[ht],cr=Yt.bin,Nt=cr.x+p,Ne=cr.y+p,$e=this.images[ht].data,st=$e.width,It=$e.height;i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt,y:Ne},{width:st,height:It}),i.RGBAImage.copy($e,Oe,{x:0,y:It-1},{x:Nt,y:Ne-1},{width:st,height:1}),i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt,y:Ne+It},{width:st,height:1}),i.RGBAImage.copy($e,Oe,{x:st-1,y:0},{x:Nt-1,y:Ne},{width:1,height:It}),i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt+st,y:Ne},{width:1,height:It})}this.dirty=!0},D.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},D.prototype.dispatchRenderCallbacks=function(O){for(var K=0,de=O;K<de.length;K+=1){var ne=de[K];if(!this.callbackDispatchedThisFrame[ne]){this.callbackDispatchedThisFrame[ne]=!0;var we=this.images[ne],Oe=b(we);Oe&&this.updateImage(ne,we)}}},D})(i.Evented);function M(Y,D,J,O,K){var de=D*256,ne=de+255,we=O.transformRequest(O.normalizeGlyphsURL(J).replace(\"{fontstack}\",Y).replace(\"{range}\",de+\"-\"+ne),i.ResourceType.Glyphs);i.getArrayBuffer(we,function(Oe,ht){if(Oe)K(Oe);else if(ht){for(var Yt={},cr=0,Nt=i.parseGlyphPBF(ht);cr<Nt.length;cr+=1){var Ne=Nt[cr];Yt[Ne.id]=Ne}K(null,Yt)}})}var T=C,L=C,x=1e20;function C(Y,D,J,O,K,de){this.fontSize=Y||24,this.buffer=D===void 0?3:D,this.cutoff=O||.25,this.fontFamily=K||\"sans-serif\",this.fontWeight=de||\"normal\",this.radius=J||8;var ne=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=ne,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(ne*ne),this.gridInner=new Float64Array(ne*ne),this.f=new Float64Array(ne),this.d=new Float64Array(ne),this.z=new Float64Array(ne+1),this.v=new Int16Array(ne),this.middle=Math.round(ne/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var D=this.ctx.getImageData(0,0,this.size,this.size),J=new Uint8ClampedArray(this.size*this.size),O=0;O<this.size*this.size;O++){var K=D.data[O*4+3]/255;this.gridOuter[O]=K===1?0:K===0?x:Math.pow(Math.max(0,.5-K),2),this.gridInner[O]=K===1?x:K===0?0:Math.pow(Math.max(0,K-.5),2)}for(S(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),S(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),O=0;O<this.size*this.size;O++){var de=this.gridOuter[O]-this.gridInner[O];J[O]=Math.max(0,Math.min(255,Math.round(255-255*(de/this.radius+this.cutoff))))}return J};function S(Y,D,J,O,K,de,ne){for(var we=0;we<D;we++){for(var Oe=0;Oe<J;Oe++)O[Oe]=Y[Oe*D+we];for(g(O,K,de,ne,J),Oe=0;Oe<J;Oe++)Y[Oe*D+we]=K[Oe]}for(Oe=0;Oe<J;Oe++){for(we=0;we<D;we++)O[we]=Y[Oe*D+we];for(g(O,K,de,ne,D),we=0;we<D;we++)Y[Oe*D+we]=Math.sqrt(K[we])}}function g(Y,D,J,O,K){J[0]=0,O[0]=-x,O[1]=+x;for(var de=1,ne=0;de<K;de++){for(var we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);we<=O[ne];)ne--,we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);ne++,J[ne]=de,O[ne]=we,O[ne+1]=+x}for(de=0,ne=0;de<K;de++){for(;O[ne+1]<de;)ne++;D[de]=(de-J[ne])*(de-J[ne])+Y[J[ne]]}}T.default=L;var P=function(D,J){this.requestManager=D,this.localIdeographFontFamily=J,this.entries={}};P.prototype.setURL=function(D){this.url=D},P.prototype.getGlyphs=function(D,J){var O=this,K=[];for(var de in D)for(var ne=0,we=D[de];ne<we.length;ne+=1){var Oe=we[ne];K.push({stack:de,id:Oe})}i.asyncAll(K,function(ht,Yt){var cr=ht.stack,Nt=ht.id,Ne=O.entries[cr];Ne||(Ne=O.entries[cr]={glyphs:{},requests:{},ranges:{}});var $e=Ne.glyphs[Nt];if($e!==void 0){Yt(null,{stack:cr,id:Nt,glyph:$e});return}if($e=O._tinySDF(Ne,cr,Nt),$e){Ne.glyphs[Nt]=$e,Yt(null,{stack:cr,id:Nt,glyph:$e});return}var st=Math.floor(Nt/256);if(st*256>65535){Yt(new Error(\"glyphs > 65535 not supported\"));return}if(Ne.ranges[st]){Yt(null,{stack:cr,id:Nt,glyph:$e});return}var It=Ne.requests[st];It||(It=Ne.requests[st]=[],P.loadGlyphRange(cr,st,O.url,O.requestManager,function(Bt,Ft){if(Ft){for(var Ut in Ft)O._doesCharSupportLocalGlyph(+Ut)||(Ne.glyphs[+Ut]=Ft[+Ut]);Ne.ranges[st]=!0}for(var zt=0,_t=It;zt<_t.length;zt+=1){var Dt=_t[zt];Dt(Bt,Ft)}delete Ne.requests[st]})),It.push(function(Bt,Ft){Bt?Yt(Bt):Ft&&Yt(null,{stack:cr,id:Nt,glyph:Ft[Nt]||null})})},function(ht,Yt){if(ht)J(ht);else if(Yt){for(var cr={},Nt=0,Ne=Yt;Nt<Ne.length;Nt+=1){var $e=Ne[Nt],st=$e.stack,It=$e.id,Bt=$e.glyph;(cr[st]||(cr[st]={}))[It]=Bt&&{id:Bt.id,bitmap:Bt.bitmap.clone(),metrics:Bt.metrics}}J(null,cr)}})},P.prototype._doesCharSupportLocalGlyph=function(D){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](D)||i.isChar[\"Hangul Syllables\"](D)||i.isChar.Hiragana(D)||i.isChar.Katakana(D))},P.prototype._tinySDF=function(D,J,O){var K=this.localIdeographFontFamily;if(K&&this._doesCharSupportLocalGlyph(O)){var de=D.tinySDF;if(!de){var ne=\"400\";/bold/i.test(J)?ne=\"900\":/medium/i.test(J)?ne=\"500\":/light/i.test(J)&&(ne=\"200\"),de=D.tinySDF=new P.TinySDF(24,3,8,.25,K,ne)}return{id:O,bitmap:new i.AlphaImage({width:30,height:30},de.draw(String.fromCharCode(O))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=M,P.TinySDF=T;var E=function(){this.specification=i.styleSpec.light.position};E.prototype.possiblyEvaluate=function(D,J){return i.sphericalToCartesian(D.expression.evaluate(J))},E.prototype.interpolate=function(D,J,O){return{x:i.number(D.x,J.x,O),y:i.number(D.y,J.y,O),z:i.number(D.z,J.z,O)}};var z=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new E,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),q=\"-transition\",V=(function(Y){function D(J){Y.call(this),this._transitionable=new i.Transitionable(z),this.setLight(J),this._transitioning=this._transitionable.untransitioned()}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getLight=function(){return this._transitionable.serialize()},D.prototype.setLight=function(O,K){if(K===void 0&&(K={}),!this._validate(i.validateLight,O,K))for(var de in O){var ne=O[de];i.endsWith(de,q)?this._transitionable.setTransition(de.slice(0,-q.length),ne):this._transitionable.setValue(de,ne)}},D.prototype.updateTransitions=function(O){this._transitioning=this._transitionable.transitioned(O,this._transitioning)},D.prototype.hasTransition=function(){return this._transitioning.hasTransition()},D.prototype.recalculate=function(O){this.properties=this._transitioning.possiblyEvaluate(O)},D.prototype._validate=function(O,K,de){return de&&de.validate===!1?!1:i.emitValidationErrors(this,O.call(i.validateStyle,i.extend({value:K,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},D})(i.Evented),G=function(D,J){this.width=D,this.height=J,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};G.prototype.getDash=function(D,J){var O=D.join(\",\")+String(J);return this.dashEntry[O]||(this.dashEntry[O]=this.addDash(D,J)),this.dashEntry[O]},G.prototype.getDashRanges=function(D,J,O){var K=D.length%2===1,de=[],ne=K?-D[D.length-1]*O:0,we=D[0]*O,Oe=!0;de.push({left:ne,right:we,isDash:Oe,zeroLength:D[0]===0});for(var ht=D[0],Yt=1;Yt<D.length;Yt++){Oe=!Oe;var cr=D[Yt];ne=ht*O,ht+=cr,we=ht*O,de.push({left:ne,right:we,isDash:Oe,zeroLength:cr===0})}return de},G.prototype.addRoundDash=function(D,J,O){for(var K=J/2,de=-O;de<=O;de++)for(var ne=this.nextRow+O+de,we=this.width*ne,Oe=0,ht=D[Oe],Yt=0;Yt<this.width;Yt++){Yt/ht.right>1&&(ht=D[++Oe]);var cr=Math.abs(Yt-ht.left),Nt=Math.abs(Yt-ht.right),Ne=Math.min(cr,Nt),$e=void 0,st=de/O*(K+1);if(ht.isDash){var It=K-Math.abs(st);$e=Math.sqrt(Ne*Ne+It*It)}else $e=K-Math.sqrt(Ne*Ne+st*st);this.data[we+Yt]=Math.max(0,Math.min(255,$e+128))}},G.prototype.addRegularDash=function(D){for(var J=D.length-1;J>=0;--J){var O=D[J],K=D[J+1];O.zeroLength?D.splice(J,1):K&&K.isDash===O.isDash&&(K.left=O.left,D.splice(J,1))}var de=D[0],ne=D[D.length-1];de.isDash===ne.isDash&&(de.left=ne.left-this.width,ne.right=de.right+this.width);for(var we=this.width*this.nextRow,Oe=0,ht=D[Oe],Yt=0;Yt<this.width;Yt++){Yt/ht.right>1&&(ht=D[++Oe]);var cr=Math.abs(Yt-ht.left),Nt=Math.abs(Yt-ht.right),Ne=Math.min(cr,Nt),$e=ht.isDash?Ne:-Ne;this.data[we+Yt]=Math.max(0,Math.min(255,$e+128))}},G.prototype.addDash=function(D,J){var O=J?7:0,K=2*O+1;if(this.nextRow+K>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var de=0,ne=0;ne<D.length;ne++)de+=D[ne];if(de!==0){var we=this.width/de,Oe=this.getDashRanges(D,this.width,we);J?this.addRoundDash(Oe,we,O):this.addRegularDash(Oe)}var ht={y:(this.nextRow+O+.5)/this.height,height:2*O/this.height,width:de};return this.nextRow+=K,this.dirty=!0,ht},G.prototype.bind=function(D){var J=D.gl;this.texture?(J.bindTexture(J.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,J.texSubImage2D(J.TEXTURE_2D,0,0,0,this.width,this.height,J.ALPHA,J.UNSIGNED_BYTE,this.data))):(this.texture=J.createTexture(),J.bindTexture(J.TEXTURE_2D,this.texture),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_S,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_T,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MIN_FILTER,J.LINEAR),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MAG_FILTER,J.LINEAR),J.texImage2D(J.TEXTURE_2D,0,J.ALPHA,this.width,this.height,0,J.ALPHA,J.UNSIGNED_BYTE,this.data))};var Z=function Y(D,J){this.workerPool=D,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var O=this.workerPool.acquire(this.id),K=0;K<O.length;K++){var de=O[K],ne=new Y.Actor(de,J,this.id);ne.name=\"Worker \"+K,this.actors.push(ne)}};Z.prototype.broadcast=function(D,J,O){O=O||function(){},i.asyncAll(this.actors,function(K,de){K.send(D,J,de)},O)},Z.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},Z.prototype.remove=function(){this.actors.forEach(function(D){D.remove()}),this.actors=[],this.workerPool.release(this.id)},Z.Actor=i.Actor;function j(Y,D,J){var O=function(K,de){if(K)return J(K);if(de){var ne=i.pick(i.extend(de,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);de.vector_layers&&(ne.vectorLayers=de.vector_layers,ne.vectorLayerIds=ne.vectorLayers.map(function(we){return we.id})),ne.tiles=D.canonicalizeTileset(ne,Y.url),J(null,ne)}};return Y.url?i.getJSON(D.transformRequest(D.normalizeSourceURL(Y.url),i.ResourceType.Source),O):i.browser.frame(function(){return O(null,Y)})}var N=function(D,J,O){this.bounds=i.LngLatBounds.convert(this.validateBounds(D)),this.minzoom=J||0,this.maxzoom=O||24};N.prototype.validateBounds=function(D){return!Array.isArray(D)||D.length!==4?[-180,-90,180,90]:[Math.max(-180,D[0]),Math.max(-90,D[1]),Math.min(180,D[2]),Math.min(90,D[3])]},N.prototype.contains=function(D){var J=Math.pow(2,D.z),O={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*J),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*J),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*J),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*J)},K=D.x>=O.minX&&D.x<O.maxX&&D.y>=O.minY&&D.y<O.maxY;return K};var H=(function(Y){function D(J,O,K,de){if(Y.call(this),this.id=J,this.dispatcher=K,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},O),this._collectResourceTiming=O.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(de)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){O._tileJSONRequest=null,O._loaded=!0,K?O.fire(new i.ErrorEvent(K)):de&&(i.extend(O,de),de.bounds&&(O.tileBounds=new N(de.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(de.tiles,O.map._requestManager._customAccessToken),i.postMapLoadEvent(de.tiles,O.map._getMapId(),O.map._requestManager._skuToken,O.map._requestManager._customAccessToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setSourceProperty=function(O){this._tileJSONRequest&&this._tileJSONRequest.cancel(),O();var K=this.map.style.sourceCaches[this.id];K.clearTiles(),this.load()},D.prototype.setTiles=function(O){var K=this;return this.setSourceProperty(function(){K._options.tiles=O}),this},D.prototype.setUrl=function(O){var K=this;return this.setSourceProperty(function(){K.url=O,K._options.url=O}),this},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.loadTile=function(O,K){var de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme)),ne={request:this.map._requestManager.transformRequest(de,i.ResourceType.Tile),uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,tileSize:this.tileSize*O.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};ne.request.collectResourceTiming=this._collectResourceTiming,!O.actor||O.state===\"expired\"?(O.actor=this.dispatcher.getActor(),O.request=O.actor.send(\"loadTile\",ne,we.bind(this))):O.state===\"loading\"?O.reloadCallback=K:O.request=O.actor.send(\"reloadTile\",ne,we.bind(this));function we(Oe,ht){if(delete O.request,O.aborted)return K(null);if(Oe&&Oe.status!==404)return K(Oe);ht&&ht.resourceTiming&&(O.resourceTiming=ht.resourceTiming),this.map._refreshExpiredTiles&&ht&&O.setExpiryData(ht),O.loadVectorData(ht,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),K(null),O.reloadCallback&&(this.loadTile(O,O.reloadCallback),O.reloadCallback=null)}},D.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.actor&&O.actor.send(\"abortTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},D.prototype.unloadTile=function(O){O.unloadVectorData(),O.actor&&O.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},D.prototype.hasTransition=function(){return!1},D})(i.Evented),re=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.setEventedParent(de),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},O),i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){O._tileJSONRequest=null,O._loaded=!0,K?O.fire(new i.ErrorEvent(K)):de&&(i.extend(O,de),de.bounds&&(O.tileBounds=new N(de.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(de.tiles),i.postMapLoadEvent(de.tiles,O.map._getMapId(),O.map._requestManager._skuToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},D.prototype.loadTile=function(O,K){var de=this,ne=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(ne,i.ResourceType.Tile),function(we,Oe){if(delete O.request,O.aborted)O.state=\"unloaded\",K(null);else if(we)O.state=\"errored\",K(we);else if(Oe){de.map._refreshExpiredTiles&&O.setExpiryData(Oe),delete Oe.cacheControl,delete Oe.expires;var ht=de.map.painter.context,Yt=ht.gl;O.texture=de.map.painter.getTileTexture(Oe.width),O.texture?O.texture.update(Oe,{useMipmap:!0}):(O.texture=new i.Texture(ht,Oe,Yt.RGBA,{useMipmap:!0}),O.texture.bind(Yt.LINEAR,Yt.CLAMP_TO_EDGE,Yt.LINEAR_MIPMAP_NEAREST),ht.extTextureFilterAnisotropic&&Yt.texParameterf(Yt.TEXTURE_2D,ht.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,ht.extTextureFilterAnisotropicMax)),O.state=\"loaded\",i.cacheEntryPossiblyAdded(de.dispatcher),K(null)}})},D.prototype.abortTile=function(O,K){O.request&&(O.request.cancel(),delete O.request),K()},D.prototype.unloadTile=function(O,K){O.texture&&this.map.painter.saveTileTexture(O.texture),K()},D.prototype.hasTransition=function(){return!1},D})(i.Evented),ae=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},O),this.encoding=O.encoding||\"mapbox\"}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},D.prototype.loadTile=function(O,K){var de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),ne.bind(this)),O.neighboringTiles=this._getNeighboringTiles(O.tileID);function ne(Oe,ht){if(delete O.request,O.aborted)O.state=\"unloaded\",K(null);else if(Oe)O.state=\"errored\",K(Oe);else if(ht){this.map._refreshExpiredTiles&&O.setExpiryData(ht),delete ht.cacheControl,delete ht.expires;var Yt=i.window.ImageBitmap&&ht instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),cr=Yt?ht:i.browser.getImageData(ht,1),Nt={uid:O.uid,coord:O.tileID,source:this.id,rawImageData:cr,encoding:this.encoding};(!O.actor||O.state===\"expired\")&&(O.actor=this.dispatcher.getActor(),O.actor.send(\"loadDEMTile\",Nt,we.bind(this)))}}function we(Oe,ht){Oe&&(O.state=\"errored\",K(Oe)),ht&&(O.dem=ht,O.needsHillshadePrepare=!0,O.state=\"loaded\",K(null))}},D.prototype._getNeighboringTiles=function(O){var K=O.canonical,de=Math.pow(2,K.z),ne=(K.x-1+de)%de,we=K.x===0?O.wrap-1:O.wrap,Oe=(K.x+1+de)%de,ht=K.x+1===de?O.wrap+1:O.wrap,Yt={};return Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y).key]={backfilled:!1},K.y>0&&(Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y-1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,O.wrap,K.z,K.x,K.y-1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y-1).key]={backfilled:!1}),K.y+1<de&&(Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y+1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,O.wrap,K.z,K.x,K.y+1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y+1).key]={backfilled:!1}),Yt},D.prototype.unloadTile=function(O){O.demTexture&&this.map.painter.saveTileTexture(O.demTexture),O.fbo&&(O.fbo.destroy(),delete O.fbo),O.dem&&delete O.dem,delete O.neighboringTiles,O.state=\"unloaded\",O.actor&&O.actor.send(\"removeDEMTile\",{uid:O.uid,source:this.id})},D})(re),_e=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=K.getActor(),this.setEventedParent(de),this._data=O.data,this._options=i.extend({},O),this._collectResourceTiming=O.collectResourceTiming,this._resourceTiming=[],O.maxzoom!==void 0&&(this.maxzoom=O.maxzoom),O.type&&(this.type=O.type),O.attribution&&(this.attribution=O.attribution),this.promoteId=O.promoteId;var ne=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:O.cluster||!1,geojsonVtOptions:{buffer:(O.buffer!==void 0?O.buffer:128)*ne,tolerance:(O.tolerance!==void 0?O.tolerance:.375)*ne,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:O.lineMetrics||!1,generateId:O.generateId||!1},superclusterOptions:{maxZoom:O.clusterMaxZoom!==void 0?Math.min(O.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,O.clusterMinPoints||2),extent:i.EXTENT,radius:(O.clusterRadius||50)*ne,log:!1,generateId:O.generateId||!1},clusterProperties:O.clusterProperties,filter:O.filter},O.workerOptions)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(K){if(K){O.fire(new i.ErrorEvent(K));return}var de={dataType:\"source\",sourceDataType:\"metadata\"};O._collectResourceTiming&&O._resourceTiming&&O._resourceTiming.length>0&&(de.resourceTiming=O._resourceTiming,O._resourceTiming=[]),O.fire(new i.Event(\"data\",de))})},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setData=function(O){var K=this;return this._data=O,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(de){if(de){K.fire(new i.ErrorEvent(de));return}var ne={dataType:\"source\",sourceDataType:\"content\"};K._collectResourceTiming&&K._resourceTiming&&K._resourceTiming.length>0&&(ne.resourceTiming=K._resourceTiming,K._resourceTiming=[]),K.fire(new i.Event(\"data\",ne))}),this},D.prototype.getClusterExpansionZoom=function(O,K){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:O,source:this.id},K),this},D.prototype.getClusterChildren=function(O,K){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:O,source:this.id},K),this},D.prototype.getClusterLeaves=function(O,K,de,ne){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:O,limit:K,offset:de},ne),this},D.prototype._updateWorkerData=function(O){var K=this;this._loaded=!1;var de=i.extend({},this.workerOptions),ne=this._data;typeof ne==\"string\"?(de.request=this.map._requestManager.transformRequest(i.browser.resolveURL(ne),i.ResourceType.Source),de.request.collectResourceTiming=this._collectResourceTiming):de.data=JSON.stringify(ne),this.actor.send(this.type+\".loadData\",de,function(we,Oe){K._removed||Oe&&Oe.abandoned||(K._loaded=!0,Oe&&Oe.resourceTiming&&Oe.resourceTiming[K.id]&&(K._resourceTiming=Oe.resourceTiming[K.id].slice(0)),K.actor.send(K.type+\".coalesce\",{source:de.source},null),O(we))})},D.prototype.loaded=function(){return this._loaded},D.prototype.loadTile=function(O,K){var de=this,ne=O.actor?\"reloadTile\":\"loadTile\";O.actor=this.actor;var we={type:this.type,uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};O.request=this.actor.send(ne,we,function(Oe,ht){return delete O.request,O.unloadVectorData(),O.aborted?K(null):Oe?K(Oe):(O.loadVectorData(ht,de.map.painter,ne===\"reloadTile\"),K(null))})},D.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.aborted=!0},D.prototype.unloadTile=function(O){O.unloadVectorData(),this.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id})},D.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},D.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},D.prototype.hasTransition=function(){return!1},D})(i.Evented),Ee=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),Ce=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.coordinates=O.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(de),this.options=O}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(O,K){var de=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(ne,we){de._loaded=!0,ne?de.fire(new i.ErrorEvent(ne)):we&&(de.image=we,O&&(de.coordinates=O),K&&K(),de._finishLoading())})},D.prototype.loaded=function(){return this._loaded},D.prototype.updateImage=function(O){var K=this;return!this.image||!O.url?this:(this.options.url=O.url,this.load(O.coordinates,function(){K.texture=null}),this)},D.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setCoordinates=function(O){var K=this;this.coordinates=O;var de=O.map(i.MercatorCoordinate.fromLngLat);this.tileID=ge(de),this.minzoom=this.maxzoom=this.tileID.z;var ne=de.map(function(we){return K.tileID.getTilePoint(we)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(ne[0].x,ne[0].y,0,0),this._boundsArray.emplaceBack(ne[1].x,ne[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(ne[3].x,ne[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(ne[2].x,ne[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var O=this.map.painter.context,K=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(O,this.image,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.loadTile=function(O,K){this.tileID&&this.tileID.equals(O.tileID.canonical)?(this.tiles[String(O.tileID.wrap)]=O,O.buckets={},K(null)):(O.state=\"errored\",K(null))},D.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return!1},D})(i.Evented);function ge(Y){for(var D=1/0,J=1/0,O=-1/0,K=-1/0,de=0,ne=Y;de<ne.length;de+=1){var we=ne[de];D=Math.min(D,we.x),J=Math.min(J,we.y),O=Math.max(O,we.x),K=Math.max(K,we.y)}var Oe=O-D,ht=K-J,Yt=Math.max(Oe,ht),cr=Math.max(0,Math.floor(-Math.log(Yt)/Math.LN2)),Nt=Math.pow(2,cr);return new i.CanonicalTileID(cr,Math.floor((D+O)/2*Nt),Math.floor((J+K)/2*Nt))}var ie=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),this.roundZoom=!0,this.type=\"video\",this.options=O}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1;var K=this.options;this.urls=[];for(var de=0,ne=K.urls;de<ne.length;de+=1){var we=ne[de];this.urls.push(this.map._requestManager.transformRequest(we,i.ResourceType.Source).url)}i.getVideo(this.urls,function(Oe,ht){O._loaded=!0,Oe?O.fire(new i.ErrorEvent(Oe)):ht&&(O.video=ht,O.video.loop=!0,O.video.addEventListener(\"playing\",function(){O.map.triggerRepaint()}),O.map&&O.video.play(),O._finishLoading())})},D.prototype.pause=function(){this.video&&this.video.pause()},D.prototype.play=function(){this.video&&this.video.play()},D.prototype.seek=function(O){if(this.video){var K=this.video.seekable;O<K.start(0)||O>K.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+K.start(0)+\" and \"+K.end(0)+\"-second mark.\"))):this.video.currentTime=O}},D.prototype.getVideo=function(){return this.video},D.prototype.onAdd=function(O){this.map||(this.map=O,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var O=this.map.painter.context,K=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE),K.texSubImage2D(K.TEXTURE_2D,0,0,0,K.RGBA,K.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(O,this.video,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this.video&&!this.video.paused},D})(Ce),Se=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),O.coordinates?(!Array.isArray(O.coordinates)||O.coordinates.length!==4||O.coordinates.some(function(ne){return!Array.isArray(ne)||ne.length!==2||ne.some(function(we){return typeof we!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"coordinates\"'))),O.animate&&typeof O.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'optional \"animate\" property must be a boolean value'))),O.canvas?typeof O.canvas!=\"string\"&&!(O.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"canvas\"'))),this.options=O,this.animate=O.animate!==void 0?O.animate:!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},D.prototype.getCanvas=function(){return this.canvas},D.prototype.onAdd=function(O){this.map=O,this.load(),this.canvas&&this.animate&&this.play()},D.prototype.onRemove=function(){this.pause()},D.prototype.prepare=function(){var O=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,O=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,O=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var K=this.map.painter.context,de=K.gl;this.boundsBuffer||(this.boundsBuffer=K.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(O||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture(K,this.canvas,de.RGBA,{premultiply:!0});for(var ne in this.tiles){var we=this.tiles[ne];we.state!==\"loaded\"&&(we.state=\"loaded\",we.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this._playing},D.prototype._hasInvalidDimensions=function(){for(var O=0,K=[this.canvas.width,this.canvas.height];O<K.length;O+=1){var de=K[O];if(isNaN(de)||de<=0)return!0}return!1},D})(Ce),ke={vector:H,raster:re,\"raster-dem\":ae,geojson:_e,video:ie,image:Ce,canvas:Se},be=function(Y,D,J,O){var K=new ke[D.type](Y,D,J,O);if(K.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+K.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],K),K},Be=function(Y){return ke[Y]},Le=function(Y,D){ke[Y]=D};function me(Y,D){var J=i.identity([]);return i.translate(J,J,[1,1,0]),i.scale(J,J,[Y.width*.5,Y.height*.5,1]),i.multiply(J,J,Y.calculatePosMatrix(D.toUnwrapped()))}function Pe(Y,D,J){if(Y)for(var O=0,K=Y;O<K.length;O+=1){var de=K[O],ne=D[de];if(ne&&ne.source===J&&ne.type===\"fill-extrusion\")return!0}else for(var we in D){var Oe=D[we];if(Oe.source===J&&Oe.type===\"fill-extrusion\")return!0}return!1}function ce(Y,D,J,O,K,de){var ne=Pe(K&&K.layers,D,Y.id),we=de.maxPitchScaleFactor(),Oe=Y.tilesIn(O,we,ne);Oe.sort(mt);for(var ht=[],Yt=0,cr=Oe;Yt<cr.length;Yt+=1){var Nt=cr[Yt];ht.push({wrappedTileID:Nt.tileID.wrapped().key,queryResults:Nt.tile.queryRenderedFeatures(D,J,Y._state,Nt.queryGeometry,Nt.cameraQueryGeometry,Nt.scale,K,de,we,me(Y.transform,Nt.tileID))})}var Ne=Ht(ht);for(var $e in Ne)Ne[$e].forEach(function(st){var It=st.feature,Bt=Y.getFeatureState(It.layer[\"source-layer\"],It.id);It.source=It.layer.source,It.layer[\"source-layer\"]&&(It.sourceLayer=It.layer[\"source-layer\"]),It.state=Bt});return Ne}function He(Y,D,J,O,K,de,ne){for(var we={},Oe=de.queryRenderedSymbols(O),ht=[],Yt=0,cr=Object.keys(Oe).map(Number);Yt<cr.length;Yt+=1){var Nt=cr[Yt];ht.push(ne[Nt])}ht.sort(mt);for(var Ne=function(){var Ft=st[$e],Ut=Ft.featureIndex.lookupSymbolFeatures(Oe[Ft.bucketInstanceId],D,Ft.bucketIndex,Ft.sourceLayerIndex,K.filter,K.layers,K.availableImages,Y);for(var zt in Ut){var _t=we[zt]=we[zt]||[],Dt=Ut[zt];Dt.sort(function(Br,Di){var ci=Ft.featureSortOrder;if(ci){var bi=ci.indexOf(Br.featureIndex),gn=ci.indexOf(Di.featureIndex);return gn-bi}else 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Fn=519,An=function(D,J,O){this.func=D,this.mask=J,this.range=O};An.ReadOnly=!1,An.ReadWrite=!0,An.disabled=new An(Fn,An.ReadOnly,[0,1]);var Hn=519,Qn=7680,Vi=function(D,J,O,K,de,ne){this.test=D,this.ref=J,this.mask=O,this.fail=K,this.depthFail=de,this.pass=ne};Vi.disabled=new Vi({func:Hn,mask:0},0,0,Qn,Qn,Qn);var Jn=0,Yn=1,Gt=771,wt=function(D,J,O){this.blendFunction=D,this.blendColor=J,this.mask=O};wt.Replace=[Yn,Jn],wt.disabled=new wt(wt.Replace,i.Color.transparent,[!1,!1,!1,!1]),wt.unblended=new wt(wt.Replace,i.Color.transparent,[!0,!0,!0,!0]),wt.alphaBlended=new wt([Yn,Gt],i.Color.transparent,[!0,!0,!0,!0]);var tr=1029,ir=2305,wr=function(D,J,O){this.enable=D,this.mode=J,this.frontFace=O};wr.disabled=new wr(!1,tr,ir),wr.backCCW=new wr(!0,tr,ir);var Xr=function(D){this.gl=D,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new tt(this),this.clearDepth=new je(this),this.clearStencil=new Ue(this),this.colorMask=new Ae(this),this.depthMask=new rt(this),this.stencilMask=new St(this),this.stencilFunc=new Tt(this),this.stencilOp=new dt(this),this.stencilTest=new Et(this),this.depthRange=new pt(this),this.depthTest=new jt(this),this.depthFunc=new or(this),this.blend=new mr(this),this.blendFunc=new Ar(this),this.blendColor=new ei(this),this.blendEquation=new qr(this),this.cullFace=new jr(this),this.cullFaceSide=new gt(this),this.frontFace=new Ge(this),this.program=new Je(this),this.activeTexture=new We(this),this.viewport=new et(this),this.bindFramebuffer=new xt(this),this.bindRenderbuffer=new At(this),this.bindTexture=new Kt(this),this.bindVertexBuffer=new Qt(this),this.bindElementBuffer=new Mr(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new Gr(this),this.pixelStoreUnpack=new Ir(this),this.pixelStoreUnpackPremultiplyAlpha=new Yr(this),this.pixelStoreUnpackFlipY=new _i(this),this.extTextureFilterAnisotropic=D.getExtension(\"EXT_texture_filter_anisotropic\")||D.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||D.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=D.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=D.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(D.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=D.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=D.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=D.getParameter(D.MAX_TEXTURE_SIZE)};Xr.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Xr.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Xr.prototype.createIndexBuffer=function(D,J){return new ct(this,D,J)},Xr.prototype.createVertexBuffer=function(D,J,O){return new Vt(this,D,J,O)},Xr.prototype.createRenderbuffer=function(D,J,O){var K=this.gl,de=K.createRenderbuffer();return this.bindRenderbuffer.set(de),K.renderbufferStorage(K.RENDERBUFFER,D,J,O),this.bindRenderbuffer.set(null),de},Xr.prototype.createFramebuffer=function(D,J,O){return new un(this,D,J,O)},Xr.prototype.clear=function(D){var J=D.color,O=D.depth,K=this.gl,de=0;J&&(de|=K.COLOR_BUFFER_BIT,this.clearColor.set(J),this.colorMask.set([!0,!0,!0,!0])),typeof O!=\"undefined\"&&(de|=K.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(O),this.depthMask.set(!0)),K.clear(de)},Xr.prototype.setCullFace=function(D){D.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(D.mode),this.frontFace.set(D.frontFace))},Xr.prototype.setDepthMode=function(D){D.func===this.gl.ALWAYS&&!D.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(D.func),this.depthMask.set(D.mask),this.depthRange.set(D.range))},Xr.prototype.setStencilMode=function(D){D.test.func===this.gl.ALWAYS&&!D.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(D.mask),this.stencilOp.set([D.fail,D.depthFail,D.pass]),this.stencilFunc.set({func:D.test.func,ref:D.ref,mask:D.test.mask}))},Xr.prototype.setColorMode=function(D){i.deepEqual(D.blendFunction,wt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(D.blendFunction),this.blendColor.set(D.blendColor)),this.colorMask.set(D.mask)},Xr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var ti=(function(Y){function D(J,O,K){var de=this;Y.call(this),this.id=J,this.dispatcher=K,this.on(\"data\",function(ne){ne.dataType===\"source\"&&ne.sourceDataType===\"metadata\"&&(de._sourceLoaded=!0),de._sourceLoaded&&!de._paused&&ne.dataType===\"source\"&&ne.sourceDataType===\"content\"&&(de.reload(),de.transform&&de.update(de.transform))}),this.on(\"error\",function(){de._sourceErrored=!0}),this._source=be(J,O,K,this),this._tiles={},this._cache=new at(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(O){this.map=O,this._maxTileCacheSize=O?O._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(O)},D.prototype.onRemove=function(O){this._source&&this._source.onRemove&&this._source.onRemove(O)},D.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var O in this._tiles){var K=this._tiles[O];if(K.state!==\"loaded\"&&K.state!==\"errored\")return!1}return!0},D.prototype.getSource=function(){return this._source},D.prototype.pause=function(){this._paused=!0},D.prototype.resume=function(){if(this._paused){var O=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,O&&this.reload(),this.transform&&this.update(this.transform)}},D.prototype._loadTile=function(O,K){return this._source.loadTile(O,K)},D.prototype._unloadTile=function(O){if(this._source.unloadTile)return this._source.unloadTile(O,function(){})},D.prototype._abortTile=function(O){if(this._source.abortTile)return this._source.abortTile(O,function(){})},D.prototype.serialize=function(){return this._source.serialize()},D.prototype.prepare=function(O){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var K in this._tiles){var de=this._tiles[K];de.upload(O),de.prepare(this.map.style.imageManager)}},D.prototype.getIds=function(){return i.values(this._tiles).map(function(O){return O.tileID}).sort($r).map(function(O){return O.key})},D.prototype.getRenderableIds=function(O){var K=this,de=[];for(var ne in this._tiles)this._isIdRenderable(ne,O)&&de.push(this._tiles[ne]);return O?de.sort(function(we,Oe){var ht=we.tileID,Yt=Oe.tileID,cr=new i.Point(ht.canonical.x,ht.canonical.y)._rotate(K.transform.angle),Nt=new i.Point(Yt.canonical.x,Yt.canonical.y)._rotate(K.transform.angle);return ht.overscaledZ-Yt.overscaledZ||Nt.y-cr.y||Nt.x-cr.x}).map(function(we){return we.tileID.key}):de.map(function(we){return we.tileID}).sort($r).map(function(we){return we.key})},D.prototype.hasRenderableParent=function(O){var K=this.findLoadedParent(O,0);return K?this._isIdRenderable(K.tileID.key):!1},D.prototype._isIdRenderable=function(O,K){return this._tiles[O]&&this._tiles[O].hasData()&&!this._coveredTiles[O]&&(K||!this._tiles[O].holdingForFade())},D.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var O in this._tiles)this._tiles[O].state!==\"errored\"&&this._reloadTile(O,\"reloading\")},D.prototype._reloadTile=function(O,K){var de=this._tiles[O];de&&(de.state!==\"loading\"&&(de.state=K),this._loadTile(de,this._tileLoaded.bind(this,de,O,K)))},D.prototype._tileLoaded=function(O,K,de,ne){if(ne){O.state=\"errored\",ne.status!==404?this._source.fire(new i.ErrorEvent(ne,{tile:O})):this.update(this.transform);return}O.timeAdded=i.browser.now(),de===\"expired\"&&(O.refreshedUponExpiration=!0),this._setTileReloadTimer(K,O),this.getSource().type===\"raster-dem\"&&O.dem&&this._backfillDEM(O),this._state.initializeTileState(O,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:O,coord:O.tileID}))},D.prototype._backfillDEM=function(O){for(var K=this.getRenderableIds(),de=0;de<K.length;de++){var ne=K[de];if(O.neighboringTiles&&O.neighboringTiles[ne]){var we=this.getTileByID(ne);Oe(O,we),Oe(we,O)}}function Oe(ht,Yt){ht.needsHillshadePrepare=!0;var cr=Yt.tileID.canonical.x-ht.tileID.canonical.x,Nt=Yt.tileID.canonical.y-ht.tileID.canonical.y,Ne=Math.pow(2,ht.tileID.canonical.z),$e=Yt.tileID.key;cr===0&&Nt===0||Math.abs(Nt)>1||(Math.abs(cr)>1&&(Math.abs(cr+Ne)===1?cr+=Ne:Math.abs(cr-Ne)===1&&(cr-=Ne)),!(!Yt.dem||!ht.dem)&&(ht.dem.backfillBorder(Yt.dem,cr,Nt),ht.neighboringTiles&&ht.neighboringTiles[$e]&&(ht.neighboringTiles[$e].backfilled=!0)))}},D.prototype.getTile=function(O){return this.getTileByID(O.key)},D.prototype.getTileByID=function(O){return this._tiles[O]},D.prototype._retainLoadedChildren=function(O,K,de,ne){for(var we in this._tiles){var Oe=this._tiles[we];if(!(ne[we]||!Oe.hasData()||Oe.tileID.overscaledZ<=K||Oe.tileID.overscaledZ>de)){for(var ht=Oe.tileID;Oe&&Oe.tileID.overscaledZ>K+1;){var Yt=Oe.tileID.scaledTo(Oe.tileID.overscaledZ-1);Oe=this._tiles[Yt.key],Oe&&Oe.hasData()&&(ht=Yt)}for(var cr=ht;cr.overscaledZ>K;)if(cr=cr.scaledTo(cr.overscaledZ-1),O[cr.key]){ne[ht.key]=ht;break}}}},D.prototype.findLoadedParent=function(O,K){if(O.key in this._loadedParentTiles){var de=this._loadedParentTiles[O.key];return de&&de.tileID.overscaledZ>=K?de:null}for(var ne=O.overscaledZ-1;ne>=K;ne--){var we=O.scaledTo(ne),Oe=this._getLoadedTile(we);if(Oe)return Oe}},D.prototype._getLoadedTile=function(O){var K=this._tiles[O.key];if(K&&K.hasData())return K;var de=this._cache.getByKey(O.wrapped().key);return de},D.prototype.updateCacheSize=function(O){var K=Math.ceil(O.width/this._source.tileSize)+1,de=Math.ceil(O.height/this._source.tileSize)+1,ne=K*de,we=5,Oe=Math.floor(ne*we),ht=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,Oe):Oe;this._cache.setMaxSize(ht)},D.prototype.handleWrapJump=function(O){var K=this._prevLng===void 0?O:this._prevLng,de=O-K,ne=de/360,we=Math.round(ne);if(this._prevLng=O,we){var Oe={};for(var ht in this._tiles){var Yt=this._tiles[ht];Yt.tileID=Yt.tileID.unwrapTo(Yt.tileID.wrap+we),Oe[Yt.tileID.key]=Yt}this._tiles=Oe;for(var cr in this._timers)clearTimeout(this._timers[cr]),delete this._timers[cr];for(var Nt in this._tiles){var Ne=this._tiles[Nt];this._setTileReloadTimer(Nt,Ne)}}},D.prototype.update=function(O){var K=this;if(this.transform=O,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(O),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var de;this.used?this._source.tileID?de=O.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(Br){return new i.OverscaledTileID(Br.canonical.z,Br.wrap,Br.canonical.z,Br.canonical.x,Br.canonical.y)}):(de=O.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(de=de.filter(function(Br){return K._source.hasTile(Br)}))):de=[];var ne=O.coveringZoomLevel(this._source),we=Math.max(ne-D.maxOverzooming,this._source.minzoom),Oe=Math.max(ne+D.maxUnderzooming,this._source.minzoom),ht=this._updateRetainedTiles(de,ne);if(Ri(this._source.type)){for(var Yt={},cr={},Nt=Object.keys(ht),Ne=0,$e=Nt;Ne<$e.length;Ne+=1){var st=$e[Ne],It=ht[st],Bt=this._tiles[st];if(!(!Bt||Bt.fadeEndTime&&Bt.fadeEndTime<=i.browser.now())){var Ft=this.findLoadedParent(It,we);Ft&&(this._addTile(Ft.tileID),Yt[Ft.tileID.key]=Ft.tileID),cr[st]=It}}this._retainLoadedChildren(cr,ne,Oe,ht);for(var Ut in Yt)ht[Ut]||(this._coveredTiles[Ut]=!0,ht[Ut]=Yt[Ut])}for(var zt in ht)this._tiles[zt].clearFadeHold();for(var _t=i.keysDifference(this._tiles,ht),Dt=0,vt=_t;Dt<vt.length;Dt+=1){var lr=vt[Dt],_r=this._tiles[lr];_r.hasSymbolBuckets&&!_r.holdingForFade()?_r.setHoldDuration(this.map._fadeDuration):(!_r.hasSymbolBuckets||_r.symbolFadeFinished())&&this._removeTile(lr)}this._updateLoadedParentTileCache()}},D.prototype.releaseSymbolFadeTiles=function(){for(var O in this._tiles)this._tiles[O].holdingForFade()&&this._removeTile(O)},D.prototype._updateRetainedTiles=function(O,K){for(var de={},ne={},we=Math.max(K-D.maxOverzooming,this._source.minzoom),Oe=Math.max(K+D.maxUnderzooming,this._source.minzoom),ht={},Yt=0,cr=O;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=this._addTile(Nt);de[Nt.key]=Nt,!Ne.hasData()&&K<this._source.maxzoom&&(ht[Nt.key]=Nt)}this._retainLoadedChildren(ht,K,Oe,de);for(var $e=0,st=O;$e<st.length;$e+=1){var It=st[$e],Bt=this._tiles[It.key];if(!Bt.hasData()){if(K+1>this._source.maxzoom){var Ft=It.children(this._source.maxzoom)[0],Ut=this.getTile(Ft);if(Ut&&Ut.hasData()){de[Ft.key]=Ft;continue}}else{var zt=It.children(this._source.maxzoom);if(de[zt[0].key]&&de[zt[1].key]&&de[zt[2].key]&&de[zt[3].key])continue}for(var _t=Bt.wasRequested(),Dt=It.overscaledZ-1;Dt>=we;--Dt){var vt=It.scaledTo(Dt);if(ne[vt.key]||(ne[vt.key]=!0,Bt=this.getTile(vt),!Bt&&_t&&(Bt=this._addTile(vt)),Bt&&(de[vt.key]=vt,_t=Bt.wasRequested(),Bt.hasData())))break}}}return de},D.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var O in this._tiles){for(var K=[],de=void 0,ne=this._tiles[O].tileID;ne.overscaledZ>0;){if(ne.key in this._loadedParentTiles){de=this._loadedParentTiles[ne.key];break}K.push(ne.key);var we=ne.scaledTo(ne.overscaledZ-1);if(de=this._getLoadedTile(we),de)break;ne=we}for(var Oe=0,ht=K;Oe<ht.length;Oe+=1){var Yt=ht[Oe];this._loadedParentTiles[Yt]=de}}},D.prototype._addTile=function(O){var K=this._tiles[O.key];if(K)return K;K=this._cache.getAndRemove(O),K&&(this._setTileReloadTimer(O.key,K),K.tileID=O,this._state.initializeTileState(K,this.map?this.map.painter:null),this._cacheTimers[O.key]&&(clearTimeout(this._cacheTimers[O.key]),delete this._cacheTimers[O.key],this._setTileReloadTimer(O.key,K)));var de=!!K;return de||(K=new i.Tile(O,this._source.tileSize*O.overscaleFactor()),this._loadTile(K,this._tileLoaded.bind(this,K,O.key,K.state))),K?(K.uses++,this._tiles[O.key]=K,de||this._source.fire(new i.Event(\"dataloading\",{tile:K,coord:K.tileID,dataType:\"source\"})),K):null},D.prototype._setTileReloadTimer=function(O,K){var de=this;O in this._timers&&(clearTimeout(this._timers[O]),delete this._timers[O]);var ne=K.getExpiryTimeout();ne&&(this._timers[O]=setTimeout(function(){de._reloadTile(O,\"expired\"),delete de._timers[O]},ne))},D.prototype._removeTile=function(O){var K=this._tiles[O];K&&(K.uses--,delete this._tiles[O],this._timers[O]&&(clearTimeout(this._timers[O]),delete this._timers[O]),!(K.uses>0)&&(K.hasData()&&K.state!==\"reloading\"?this._cache.add(K.tileID,K,K.getExpiryTimeout()):(K.aborted=!0,this._abortTile(K),this._unloadTile(K))))},D.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var O in this._tiles)this._removeTile(O);this._cache.reset()},D.prototype.tilesIn=function(O,K,de){var ne=this,we=[],Oe=this.transform;if(!Oe)return we;for(var ht=de?Oe.getCameraQueryGeometry(O):O,Yt=O.map(function(Dt){return Oe.pointCoordinate(Dt)}),cr=ht.map(function(Dt){return Oe.pointCoordinate(Dt)}),Nt=this.getIds(),Ne=1/0,$e=1/0,st=-1/0,It=-1/0,Bt=0,Ft=cr;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt];Ne=Math.min(Ne,Ut.x),$e=Math.min($e,Ut.y),st=Math.max(st,Ut.x),It=Math.max(It,Ut.y)}for(var zt=function(Dt){var vt=ne._tiles[Nt[Dt]];if(!vt.holdingForFade()){var lr=vt.tileID,_r=Math.pow(2,Oe.zoom-vt.tileID.overscaledZ),Br=K*vt.queryPadding*i.EXTENT/vt.tileSize/_r,Di=[lr.getTilePoint(new i.MercatorCoordinate(Ne,$e)),lr.getTilePoint(new i.MercatorCoordinate(st,It))];if(Di[0].x-Br<i.EXTENT&&Di[0].y-Br<i.EXTENT&&Di[1].x+Br>=0&&Di[1].y+Br>=0){var ci=Yt.map(function(gn){return lr.getTilePoint(gn)}),bi=cr.map(function(gn){return lr.getTilePoint(gn)});we.push({tile:vt,tileID:lr,queryGeometry:ci,cameraQueryGeometry:bi,scale:_r})}}},_t=0;_t<Nt.length;_t++)zt(_t);return we},D.prototype.getVisibleCoordinates=function(O){for(var K=this,de=this.getRenderableIds(O).map(function(ht){return K._tiles[ht].tileID}),ne=0,we=de;ne<we.length;ne+=1){var Oe=we[ne];Oe.posMatrix=this.transform.calculatePosMatrix(Oe.toUnwrapped())}return de},D.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ri(this._source.type))for(var O in this._tiles){var K=this._tiles[O];if(K.fadeEndTime!==void 0&&K.fadeEndTime>=i.browser.now())return!0}return!1},D.prototype.setFeatureState=function(O,K,de){O=O||\"_geojsonTileLayer\",this._state.updateState(O,K,de)},D.prototype.removeFeatureState=function(O,K,de){O=O||\"_geojsonTileLayer\",this._state.removeFeatureState(O,K,de)},D.prototype.getFeatureState=function(O,K){return O=O||\"_geojsonTileLayer\",this._state.getState(O,K)},D.prototype.setDependencies=function(O,K,de){var ne=this._tiles[O];ne&&ne.setDependencies(K,de)},D.prototype.reloadTilesForDependencies=function(O,K){for(var de in this._tiles){var ne=this._tiles[de];ne.hasDependency(O,K)&&this._reloadTile(de,\"reloading\")}this._cache.filter(function(we){return!we.hasDependency(O,K)})},D})(i.Evented);ti.maxOverzooming=10,ti.maxUnderzooming=3;function $r(Y,D){var J=Math.abs(Y.wrap*2)-+(Y.wrap<0),O=Math.abs(D.wrap*2)-+(D.wrap<0);return Y.overscaledZ-D.overscaledZ||O-J||D.canonical.y-Y.canonical.y||D.canonical.x-Y.canonical.x}function Ri(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Hi(){return new i.window.Worker(io.workerUrl)}var en=\"mapboxgl_preloaded_worker_pool\",fn=function(){this.active={}};fn.prototype.acquire=function(D){if(!this.workers)for(this.workers=[];this.workers.length<fn.workerCount;)this.workers.push(new Hi);return this.active[D]=!0,this.workers.slice()},fn.prototype.release=function(D){delete this.active[D],this.numActive()===0&&(this.workers.forEach(function(J){J.terminate()}),this.workers=null)},fn.prototype.isPreloaded=function(){return!!this.active[en]},fn.prototype.numActive=function(){return Object.keys(this.active).length};var yn=Math.floor(i.browser.hardwareConcurrency/2);fn.workerCount=Math.max(Math.min(yn,6),1);var Mn;function Ba(){return Mn||(Mn=new fn),Mn}function ua(){var Y=Ba();Y.acquire(en)}function ma(){var Y=Mn;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(en),Mn=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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da={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function jn(Y,D,J){J.push({command:da.addSource,args:[Y,D[Y]]})}function Ha(Y,D,J){D.push({command:da.removeSource,args:[Y]}),J[Y]=!0}function vo(Y,D,J,O){Ha(Y,J,O),jn(Y,D,J)}function Gn(Y,D,J){var O;for(O in Y[J])if(Y[J].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[J][O],D[J][O]))return!1;for(O in D[J])if(D[J].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[J][O],D[J][O]))return!1;return!0}function Ct(Y,D,J,O){Y=Y||{},D=D||{};var K;for(K in Y)Y.hasOwnProperty(K)&&(D.hasOwnProperty(K)||Ha(K,J,O));for(K in D)D.hasOwnProperty(K)&&(Y.hasOwnProperty(K)?i.deepEqual(Y[K],D[K])||(Y[K].type===\"geojson\"&&D[K].type===\"geojson\"&&Gn(Y,D,K)?J.push({command:da.setGeoJSONSourceData,args:[K,D[K].data]}):vo(K,D,J,O)):jn(K,D,J))}function Sr(Y,D,J,O,K,de){Y=Y||{},D=D||{};var ne;for(ne in Y)Y.hasOwnProperty(ne)&&(i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[O,ne,D[ne],K]}));for(ne in D)!D.hasOwnProperty(ne)||Y.hasOwnProperty(ne)||i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[O,ne,D[ne],K]})}function Jr(Y){return Y.id}function hi(Y,D){return Y[D.id]=D,Y}function hn(Y,D,J){Y=Y||[],D=D||[];var O=Y.map(Jr),K=D.map(Jr),de=Y.reduce(hi,{}),ne=D.reduce(hi,{}),we=O.slice(),Oe=Object.create(null),ht,Yt,cr,Nt,Ne,$e,st;for(ht=0,Yt=0;ht<O.length;ht++)cr=O[ht],ne.hasOwnProperty(cr)?Yt++:(J.push({command:da.removeLayer,args:[cr]}),we.splice(we.indexOf(cr,Yt),1));for(ht=0,Yt=0;ht<K.length;ht++)cr=K[K.length-1-ht],we[we.length-1-ht]!==cr&&(de.hasOwnProperty(cr)?(J.push({command:da.removeLayer,args:[cr]}),we.splice(we.lastIndexOf(cr,we.length-Yt),1)):Yt++,$e=we[we.length-ht],J.push({command:da.addLayer,args:[ne[cr],$e]}),we.splice(we.length-ht,0,cr),Oe[cr]=!0);for(ht=0;ht<K.length;ht++)if(cr=K[ht],Nt=de[cr],Ne=ne[cr],!(Oe[cr]||i.deepEqual(Nt,Ne))){if(!i.deepEqual(Nt.source,Ne.source)||!i.deepEqual(Nt[\"source-layer\"],Ne[\"source-layer\"])||!i.deepEqual(Nt.type,Ne.type)){J.push({command:da.removeLayer,args:[cr]}),$e=we[we.lastIndexOf(cr)+1],J.push({command:da.addLayer,args:[Ne,$e]});continue}Sr(Nt.layout,Ne.layout,J,cr,null,da.setLayoutProperty),Sr(Nt.paint,Ne.paint,J,cr,null,da.setPaintProperty),i.deepEqual(Nt.filter,Ne.filter)||J.push({command:da.setFilter,args:[cr,Ne.filter]}),(!i.deepEqual(Nt.minzoom,Ne.minzoom)||!i.deepEqual(Nt.maxzoom,Ne.maxzoom))&&J.push({command:da.setLayerZoomRange,args:[cr,Ne.minzoom,Ne.maxzoom]});for(st in Nt)Nt.hasOwnProperty(st)&&(st===\"layout\"||st===\"paint\"||st===\"filter\"||st===\"metadata\"||st===\"minzoom\"||st===\"maxzoom\"||(st.indexOf(\"paint.\")===0?Sr(Nt[st],Ne[st],J,cr,st.slice(6),da.setPaintProperty):i.deepEqual(Nt[st],Ne[st])||J.push({command:da.setLayerProperty,args:[cr,st,Ne[st]]})));for(st in Ne)!Ne.hasOwnProperty(st)||Nt.hasOwnProperty(st)||st===\"layout\"||st===\"paint\"||st===\"filter\"||st===\"metadata\"||st===\"minzoom\"||st===\"maxzoom\"||(st.indexOf(\"paint.\")===0?Sr(Nt[st],Ne[st],J,cr,st.slice(6),da.setPaintProperty):i.deepEqual(Nt[st],Ne[st])||J.push({command:da.setLayerProperty,args:[cr,st,Ne[st]]}))}}function Sn(Y,D){if(!Y)return[{command:da.setStyle,args:[D]}];var J=[];try{if(!i.deepEqual(Y.version,D.version))return[{command:da.setStyle,args:[D]}];i.deepEqual(Y.center,D.center)||J.push({command:da.setCenter,args:[D.center]}),i.deepEqual(Y.zoom,D.zoom)||J.push({command:da.setZoom,args:[D.zoom]}),i.deepEqual(Y.bearing,D.bearing)||J.push({command:da.setBearing,args:[D.bearing]}),i.deepEqual(Y.pitch,D.pitch)||J.push({command:da.setPitch,args:[D.pitch]}),i.deepEqual(Y.sprite,D.sprite)||J.push({command:da.setSprite,args:[D.sprite]}),i.deepEqual(Y.glyphs,D.glyphs)||J.push({command:da.setGlyphs,args:[D.glyphs]}),i.deepEqual(Y.transition,D.transition)||J.push({command:da.setTransition,args:[D.transition]}),i.deepEqual(Y.light,D.light)||J.push({command:da.setLight,args:[D.light]});var O={},K=[];Ct(Y.sources,D.sources,K,O);var de=[];Y.layers&&Y.layers.forEach(function(ne){O[ne.source]?J.push({command:da.removeLayer,args:[ne.id]}):de.push(ne)}),J=J.concat(K),hn(de,D.layers,J)}catch(ne){console.warn(\"Unable to compute style diff:\",ne),J=[{command:da.setStyle,args:[D]}]}return J}var En=function(D,J){this.reset(D,J)};En.prototype.reset=function(D,J){this.points=D||[],this._distances=[0];for(var O=1;O<this.points.length;O++)this._distances[O]=this._distances[O-1]+this.points[O].dist(this.points[O-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(J||0,this.length*.5),this.paddedLength=this.length-this.padding*2},En.prototype.lerp=function(D){if(this.points.length===1)return this.points[0];D=i.clamp(D,0,1);for(var J=1,O=this._distances[J],K=D*this.paddedLength+this.padding;O<K&&J<this._distances.length;)O=this._distances[++J];var de=J-1,ne=this._distances[de],we=O-ne,Oe=we>0?(K-ne)/we:0;return this.points[de].mult(1-Oe).add(this.points[J].mult(Oe))};var ki=function(D,J,O){var K=this.boxCells=[],de=this.circleCells=[];this.xCellCount=Math.ceil(D/O),this.yCellCount=Math.ceil(J/O);for(var ne=0;ne<this.xCellCount*this.yCellCount;ne++)K.push([]),de.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=D,this.height=J,this.xScale=this.xCellCount/D,this.yScale=this.yCellCount/J,this.boxUid=0,this.circleUid=0};ki.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},ki.prototype.insert=function(D,J,O,K,de){this._forEachCell(J,O,K,de,this._insertBoxCell,this.boxUid++),this.boxKeys.push(D),this.bboxes.push(J),this.bboxes.push(O),this.bboxes.push(K),this.bboxes.push(de)},ki.prototype.insertCircle=function(D,J,O,K){this._forEachCell(J-K,O-K,J+K,O+K,this._insertCircleCell,this.circleUid++),this.circleKeys.push(D),this.circles.push(J),this.circles.push(O),this.circles.push(K)},ki.prototype._insertBoxCell=function(D,J,O,K,de,ne){this.boxCells[de].push(ne)},ki.prototype._insertCircleCell=function(D,J,O,K,de,ne){this.circleCells[de].push(ne)},ki.prototype._query=function(D,J,O,K,de,ne){if(O<0||D>this.width||K<0||J>this.height)return de?!1:[];var we=[];if(D<=0&&J<=0&&this.width<=O&&this.height<=K){if(de)return!0;for(var Oe=0;Oe<this.boxKeys.length;Oe++)we.push({key:this.boxKeys[Oe],x1:this.bboxes[Oe*4],y1:this.bboxes[Oe*4+1],x2:this.bboxes[Oe*4+2],y2:this.bboxes[Oe*4+3]});for(var ht=0;ht<this.circleKeys.length;ht++){var Yt=this.circles[ht*3],cr=this.circles[ht*3+1],Nt=this.circles[ht*3+2];we.push({key:this.circleKeys[ht],x1:Yt-Nt,y1:cr-Nt,x2:Yt+Nt,y2:cr+Nt})}return ne?we.filter(ne):we}else{var Ne={hitTest:de,seenUids:{box:{},circle:{}}};return this._forEachCell(D,J,O,K,this._queryCell,we,Ne,ne),de?we.length>0:we}},ki.prototype._queryCircle=function(D,J,O,K,de){var ne=D-O,we=D+O,Oe=J-O,ht=J+O;if(we<0||ne>this.width||ht<0||Oe>this.height)return K?!1:[];var Yt=[],cr={hitTest:K,circle:{x:D,y:J,radius:O},seenUids:{box:{},circle:{}}};return this._forEachCell(ne,Oe,we,ht,this._queryCellCircle,Yt,cr,de),K?Yt.length>0:Yt},ki.prototype.query=function(D,J,O,K,de){return this._query(D,J,O,K,!1,de)},ki.prototype.hitTest=function(D,J,O,K,de){return this._query(D,J,O,K,!0,de)},ki.prototype.hitTestCircle=function(D,J,O,K){return this._queryCircle(D,J,O,!0,K)},ki.prototype._queryCell=function(D,J,O,K,de,ne,we,Oe){var ht=we.seenUids,Yt=this.boxCells[de];if(Yt!==null)for(var cr=this.bboxes,Nt=0,Ne=Yt;Nt<Ne.length;Nt+=1){var $e=Ne[Nt];if(!ht.box[$e]){ht.box[$e]=!0;var st=$e*4;if(D<=cr[st+2]&&J<=cr[st+3]&&O>=cr[st+0]&&K>=cr[st+1]&&(!Oe||Oe(this.boxKeys[$e]))){if(we.hitTest)return ne.push(!0),!0;ne.push({key:this.boxKeys[$e],x1:cr[st],y1:cr[st+1],x2:cr[st+2],y2:cr[st+3]})}}}var It=this.circleCells[de];if(It!==null)for(var Bt=this.circles,Ft=0,Ut=It;Ft<Ut.length;Ft+=1){var zt=Ut[Ft];if(!ht.circle[zt]){ht.circle[zt]=!0;var _t=zt*3;if(this._circleAndRectCollide(Bt[_t],Bt[_t+1],Bt[_t+2],D,J,O,K)&&(!Oe||Oe(this.circleKeys[zt]))){if(we.hitTest)return ne.push(!0),!0;var Dt=Bt[_t],vt=Bt[_t+1],lr=Bt[_t+2];ne.push({key:this.circleKeys[zt],x1:Dt-lr,y1:vt-lr,x2:Dt+lr,y2:vt+lr})}}}},ki.prototype._queryCellCircle=function(D,J,O,K,de,ne,we,Oe){var ht=we.circle,Yt=we.seenUids,cr=this.boxCells[de];if(cr!==null)for(var Nt=this.bboxes,Ne=0,$e=cr;Ne<$e.length;Ne+=1){var st=$e[Ne];if(!Yt.box[st]){Yt.box[st]=!0;var It=st*4;if(this._circleAndRectCollide(ht.x,ht.y,ht.radius,Nt[It+0],Nt[It+1],Nt[It+2],Nt[It+3])&&(!Oe||Oe(this.boxKeys[st])))return ne.push(!0),!0}}var Bt=this.circleCells[de];if(Bt!==null)for(var Ft=this.circles,Ut=0,zt=Bt;Ut<zt.length;Ut+=1){var _t=zt[Ut];if(!Yt.circle[_t]){Yt.circle[_t]=!0;var Dt=_t*3;if(this._circlesCollide(Ft[Dt],Ft[Dt+1],Ft[Dt+2],ht.x,ht.y,ht.radius)&&(!Oe||Oe(this.circleKeys[_t])))return ne.push(!0),!0}}},ki.prototype._forEachCell=function(D,J,O,K,de,ne,we,Oe){for(var ht=this._convertToXCellCoord(D),Yt=this._convertToYCellCoord(J),cr=this._convertToXCellCoord(O),Nt=this._convertToYCellCoord(K),Ne=ht;Ne<=cr;Ne++)for(var $e=Yt;$e<=Nt;$e++){var st=this.xCellCount*$e+Ne;if(de.call(this,D,J,O,K,st,ne,we,Oe))return}},ki.prototype._convertToXCellCoord=function(D){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(D*this.xScale)))},ki.prototype._convertToYCellCoord=function(D){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(D*this.yScale)))},ki.prototype._circlesCollide=function(D,J,O,K,de,ne){var we=K-D,Oe=de-J,ht=O+ne;return ht*ht>we*we+Oe*Oe},ki.prototype._circleAndRectCollide=function(D,J,O,K,de,ne,we){var Oe=(ne-K)/2,ht=Math.abs(D-(K+Oe));if(ht>Oe+O)return!1;var Yt=(we-de)/2,cr=Math.abs(J-(de+Yt));if(cr>Yt+O)return!1;if(ht<=Oe||cr<=Yt)return!0;var Nt=ht-Oe,Ne=cr-Yt;return Nt*Nt+Ne*Ne<=O*O};function _n(Y,D,J,O,K){var de=i.create();return D?(i.scale(de,de,[1/K,1/K,1]),J||i.rotateZ(de,de,O.angle)):i.multiply(de,O.labelPlaneMatrix,Y),de}function ya(Y,D,J,O,K){if(D){var de=i.clone(Y);return i.scale(de,de,[K,K,1]),J||i.rotateZ(de,de,-O.angle),de}else return O.glCoordMatrix}function ea(Y,D){var J=[Y.x,Y.y,0,1];Fl(J,J,D);var O=J[3];return{point:new i.Point(J[0]/O,J[1]/O),signedDistanceFromCamera:O}}function Ma(Y,D){return .5+.5*(Y/D)}function _o(Y,D){var J=Y[0]/Y[3],O=Y[1]/Y[3],K=J>=-D[0]&&J<=D[0]&&O>=-D[1]&&O<=D[1];return K}function No(Y,D,J,O,K,de,ne,we){var Oe=O?Y.textSizeData:Y.iconSizeData,ht=i.evaluateSizeForZoom(Oe,J.transform.zoom),Yt=[256/J.width*2+1,256/J.height*2+1],cr=O?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;cr.clear();for(var Nt=Y.lineVertexArray,Ne=O?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,$e=J.transform.width/J.transform.height,st=!1,It=0;It<Ne.length;It++){var Bt=Ne.get(It);if(Bt.hidden||Bt.writingMode===i.WritingMode.vertical&&!st){ul(Bt.numGlyphs,cr);continue}st=!1;var Ft=[Bt.anchorX,Bt.anchorY,0,1];if(i.transformMat4(Ft,Ft,D),!_o(Ft,Yt)){ul(Bt.numGlyphs,cr);continue}var Ut=Ft[3],zt=Ma(J.transform.cameraToCenterDistance,Ut),_t=i.evaluateSizeForFeature(Oe,ht,Bt),Dt=ne?_t/zt:_t*zt,vt=new i.Point(Bt.anchorX,Bt.anchorY),lr=ea(vt,K).point,_r={},Br=ko(Bt,Dt,!1,we,D,K,de,Y.glyphOffsetArray,Nt,cr,lr,vt,_r,$e);st=Br.useVertical,(Br.notEnoughRoom||st||Br.needsFlipping&&ko(Bt,Dt,!0,we,D,K,de,Y.glyphOffsetArray,Nt,cr,lr,vt,_r,$e).notEnoughRoom)&&ul(Bt.numGlyphs,cr)}O?Y.text.dynamicLayoutVertexBuffer.updateData(cr):Y.icon.dynamicLayoutVertexBuffer.updateData(cr)}function po(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=we.glyphStartIndex+we.numGlyphs,Nt=we.lineStartIndex,Ne=we.lineStartIndex+we.lineLength,$e=D.getoffsetX(we.glyphStartIndex),st=D.getoffsetX(cr-1),It=Fs(Y*$e,J,O,K,de,ne,we.segment,Nt,Ne,Oe,ht,Yt);if(!It)return null;var Bt=Fs(Y*st,J,O,K,de,ne,we.segment,Nt,Ne,Oe,ht,Yt);return Bt?{first:It,last:Bt}:null}function Lo(Y,D,J,O){if(Y===i.WritingMode.horizontal){var K=Math.abs(J.y-D.y),de=Math.abs(J.x-D.x)*O;if(K>de)return{useVertical:!0}}return(Y===i.WritingMode.vertical?D.y<J.y:D.x>J.x)?{needsFlipping:!0}:null}function ko(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne){var $e=D/24,st=Y.lineOffsetX*$e,It=Y.lineOffsetY*$e,Bt;if(Y.numGlyphs>1){var Ft=Y.glyphStartIndex+Y.numGlyphs,Ut=Y.lineStartIndex,zt=Y.lineStartIndex+Y.lineLength,_t=po($e,we,st,It,J,Yt,cr,Y,Oe,de,Nt);if(!_t)return{notEnoughRoom:!0};var Dt=ea(_t.first.point,ne).point,vt=ea(_t.last.point,ne).point;if(O&&!J){var lr=Lo(Y.writingMode,Dt,vt,Ne);if(lr)return lr}Bt=[_t.first];for(var _r=Y.glyphStartIndex+1;_r<Ft-1;_r++)Bt.push(Fs($e*we.getoffsetX(_r),st,It,J,Yt,cr,Y.segment,Ut,zt,Oe,de,Nt));Bt.push(_t.last)}else{if(O&&!J){var Br=ea(cr,K).point,Di=Y.lineStartIndex+Y.segment+1,ci=new i.Point(Oe.getx(Di),Oe.gety(Di)),bi=ea(ci,K),gn=bi.signedDistanceFromCamera>0?bi.point:Ds(cr,ci,Br,1,K),tn=Lo(Y.writingMode,Br,gn,Ne);if(tn)return tn}var Ei=Fs($e*we.getoffsetX(Y.glyphStartIndex),st,It,J,Yt,cr,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,Oe,de,Nt);if(!Ei)return{notEnoughRoom:!0};Bt=[Ei]}for(var Oi=0,Gi=Bt;Oi<Gi.length;Oi+=1){var on=Gi[Oi];i.addDynamicAttributes(ht,on.point,on.angle)}return{}}function Ds(Y,D,J,O,K){var de=ea(Y.add(Y.sub(D)._unit()),K).point,ne=J.sub(de);return J.add(ne._mult(O/ne.mag()))}function Fs(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr){var Nt=O?Y-D:Y+D,Ne=Nt>0?1:-1,$e=0;O&&(Ne*=-1,$e=Math.PI),Ne<0&&($e+=Math.PI);for(var st=Ne>0?we+ne:we+ne+1,It=K,Bt=K,Ft=0,Ut=0,zt=Math.abs(Nt),_t=[];Ft+Ut<=zt;){if(st+=Ne,st<we||st>=Oe)return null;if(Bt=It,_t.push(It),It=cr[st],It===void 0){var Dt=new i.Point(ht.getx(st),ht.gety(st)),vt=ea(Dt,Yt);if(vt.signedDistanceFromCamera>0)It=cr[st]=vt.point;else{var lr=st-Ne,_r=Ft===0?de:new i.Point(ht.getx(lr),ht.gety(lr));It=Ds(_r,Dt,Bt,zt-Ft+1,Yt)}}Ft+=Ut,Ut=Bt.dist(It)}var Br=(zt-Ft)/Ut,Di=It.sub(Bt),ci=Di.mult(Br)._add(Bt);ci._add(Di._unit()._perp()._mult(J*Ne));var bi=$e+Math.atan2(It.y-Bt.y,It.x-Bt.x);return _t.push(ci),{point:ci,angle:bi,path:_t}}var ll=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ul(Y,D){for(var J=0;J<Y;J++){var O=D.length;D.resize(O+4),D.float32.set(ll,O*3)}}function Fl(Y,D,J){var O=D[0],K=D[1];return Y[0]=J[0]*O+J[4]*K+J[12],Y[1]=J[1]*O+J[5]*K+J[13],Y[3]=J[3]*O+J[7]*K+J[15],Y}var us=100,rl=function(D,J,O){J===void 0&&(J=new ki(D.width+2*us,D.height+2*us,25)),O===void 0&&(O=new ki(D.width+2*us,D.height+2*us,25)),this.transform=D,this.grid=J,this.ignoredGrid=O,this.pitchfactor=Math.cos(D._pitch)*D.cameraToCenterDistance,this.screenRightBoundary=D.width+us,this.screenBottomBoundary=D.height+us,this.gridRightBoundary=D.width+2*us,this.gridBottomBoundary=D.height+2*us};rl.prototype.placeCollisionBox=function(D,J,O,K,de){var ne=this.projectAndGetPerspectiveRatio(K,D.anchorPointX,D.anchorPointY),we=O*ne.perspectiveRatio,Oe=D.x1*we+ne.point.x,ht=D.y1*we+ne.point.y,Yt=D.x2*we+ne.point.x,cr=D.y2*we+ne.point.y;return!this.isInsideGrid(Oe,ht,Yt,cr)||!J&&this.grid.hitTest(Oe,ht,Yt,cr,de)?{box:[],offscreen:!1}:{box:[Oe,ht,Yt,cr],offscreen:this.isOffscreen(Oe,ht,Yt,cr)}},rl.prototype.placeCollisionCircles=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne){var $e=[],st=new i.Point(J.anchorX,J.anchorY),It=ea(st,ne),Bt=Ma(this.transform.cameraToCenterDistance,It.signedDistanceFromCamera),Ft=Yt?de/Bt:de*Bt,Ut=Ft/i.ONE_EM,zt=ea(st,we).point,_t={},Dt=J.lineOffsetX*Ut,vt=J.lineOffsetY*Ut,lr=po(Ut,K,Dt,vt,!1,zt,st,J,O,we,_t),_r=!1,Br=!1,Di=!0;if(lr){for(var ci=Nt*.5*Bt+Ne,bi=new i.Point(-us,-us),gn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),tn=new En,Ei=lr.first,Oi=lr.last,Gi=[],on=Ei.path.length-1;on>=1;on--)Gi.push(Ei.path[on]);for(var zn=1;zn<Oi.path.length;zn++)Gi.push(Oi.path[zn]);var Ja=ci*2.5;if(Oe){var co=Gi.map(function(Iv){return ea(Iv,Oe)});co.some(function(Iv){return Iv.signedDistanceFromCamera<=0})?Gi=[]:Gi=co.map(function(Iv){return Iv.point})}var ts=[];if(Gi.length>0){for(var so=Gi[0].clone(),Yo=Gi[0].clone(),ms=1;ms<Gi.length;ms++)so.x=Math.min(so.x,Gi[ms].x),so.y=Math.min(so.y,Gi[ms].y),Yo.x=Math.max(Yo.x,Gi[ms].x),Yo.y=Math.max(Yo.y,Gi[ms].y);so.x>=bi.x&&Yo.x<=gn.x&&so.y>=bi.y&&Yo.y<=gn.y?ts=[Gi]:Yo.x<bi.x||so.x>gn.x||Yo.y<bi.y||so.y>gn.y?ts=[]:ts=i.clipLine([Gi],bi.x,bi.y,gn.x,gn.y)}for(var ou=0,Cv=ts;ou<Cv.length;ou+=1){var Lv=Cv[ou];tn.reset(Lv,ci*.25);var wd=0;tn.length<=.5*ci?wd=1:wd=Math.ceil(tn.paddedLength/Ja)+1;for(var Kv=0;Kv<wd;Kv++){var hg=Kv/Math.max(wd-1,1),gp=tn.lerp(hg),Td=gp.x+us,mp=gp.y+us;$e.push(Td,mp,ci,0);var Vd=Td-ci,Ad=mp-ci,Pv=Td+ci,Jv=mp+ci;if(Di=Di&&this.isOffscreen(Vd,Ad,Pv,Jv),Br=Br||this.isInsideGrid(Vd,Ad,Pv,Jv),!D&&this.grid.hitTestCircle(Td,mp,ci,cr)&&(_r=!0,!ht))return{circles:[],offscreen:!1,collisionDetected:_r}}}}return{circles:!ht&&_r||!Br?[]:$e,offscreen:Di,collisionDetected:_r}},rl.prototype.queryRenderedSymbols=function(D){if(D.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var J=[],O=1/0,K=1/0,de=-1/0,ne=-1/0,we=0,Oe=D;we<Oe.length;we+=1){var ht=Oe[we],Yt=new i.Point(ht.x+us,ht.y+us);O=Math.min(O,Yt.x),K=Math.min(K,Yt.y),de=Math.max(de,Yt.x),ne=Math.max(ne,Yt.y),J.push(Yt)}for(var cr=this.grid.query(O,K,de,ne).concat(this.ignoredGrid.query(O,K,de,ne)),Nt={},Ne={},$e=0,st=cr;$e<st.length;$e+=1){var It=st[$e],Bt=It.key;if(Nt[Bt.bucketInstanceId]===void 0&&(Nt[Bt.bucketInstanceId]={}),!Nt[Bt.bucketInstanceId][Bt.featureIndex]){var Ft=[new i.Point(It.x1,It.y1),new i.Point(It.x2,It.y1),new i.Point(It.x2,It.y2),new i.Point(It.x1,It.y2)];i.polygonIntersectsPolygon(J,Ft)&&(Nt[Bt.bucketInstanceId][Bt.featureIndex]=!0,Ne[Bt.bucketInstanceId]===void 0&&(Ne[Bt.bucketInstanceId]=[]),Ne[Bt.bucketInstanceId].push(Bt.featureIndex))}}return Ne},rl.prototype.insertCollisionBox=function(D,J,O,K,de){var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:O,featureIndex:K,collisionGroupID:de};ne.insert(we,D[0],D[1],D[2],D[3])},rl.prototype.insertCollisionCircles=function(D,J,O,K,de){for(var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:O,featureIndex:K,collisionGroupID:de},Oe=0;Oe<D.length;Oe+=4)ne.insertCircle(we,D[Oe],D[Oe+1],D[Oe+2])},rl.prototype.projectAndGetPerspectiveRatio=function(D,J,O){var K=[J,O,0,1];Fl(K,K,D);var de=new i.Point((K[0]/K[3]+1)/2*this.transform.width+us,(-K[1]/K[3]+1)/2*this.transform.height+us);return{point:de,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/K[3])}},rl.prototype.isOffscreen=function(D,J,O,K){return O<us||D>=this.screenRightBoundary||K<us||J>this.screenBottomBoundary},rl.prototype.isInsideGrid=function(D,J,O,K){return O>=0&&D<this.gridRightBoundary&&K>=0&&J<this.gridBottomBoundary},rl.prototype.getViewportMatrix=function(){var D=i.identity([]);return i.translate(D,D,[-us,-us,0]),D};function As(Y,D,J){return D*(i.EXTENT/(Y.tileSize*Math.pow(2,J-Y.tileID.overscaledZ)))}var cl=function(D,J,O,K){D?this.opacity=Math.max(0,Math.min(1,D.opacity+(D.placed?J:-J))):this.opacity=K&&O?1:0,this.placed=O};cl.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Ks=function(D,J,O,K,de){this.text=new cl(D?D.text:null,J,O,de),this.icon=new cl(D?D.icon:null,J,K,de)};Ks.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var zs=function(D,J,O){this.text=D,this.icon=J,this.skipFade=O},Io=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},ls=function(D,J,O,K,de){this.bucketInstanceId=D,this.featureIndex=J,this.sourceLayerIndex=O,this.bucketIndex=K,this.tileID=de},Yl=function(D){this.crossSourceCollisions=D,this.maxGroupID=0,this.collisionGroups={}};Yl.prototype.get=function(D){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[D]){var J=++this.maxGroupID;this.collisionGroups[D]={ID:J,predicate:function(O){return O.collisionGroupID===J}}}return this.collisionGroups[D]};function Su(Y,D,J,O,K){var de=i.getAnchorAlignment(Y),ne=de.horizontalAlign,we=de.verticalAlign,Oe=-(ne-.5)*D,ht=-(we-.5)*J,Yt=i.evaluateVariableOffset(Y,O);return new i.Point(Oe+Yt[0]*K,ht+Yt[1]*K)}function nc(Y,D,J,O,K,de){var ne=Y.x1,we=Y.x2,Oe=Y.y1,ht=Y.y2,Yt=Y.anchorPointX,cr=Y.anchorPointY,Nt=new i.Point(D,J);return O&&Nt._rotate(K?de:-de),{x1:ne+Nt.x,y1:Oe+Nt.y,x2:we+Nt.x,y2:ht+Nt.y,anchorPointX:Yt,anchorPointY:cr}}var bs=function(D,J,O,K){this.transform=D.clone(),this.collisionIndex=new rl(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=J,this.retainedQueryData={},this.collisionGroups=new Yl(O),this.collisionCircleArrays={},this.prevPlacement=K,K&&(K.prevPlacement=void 0),this.placedOrientations={}};bs.prototype.getBucketParts=function(D,J,O,K){var de=O.getBucket(J),ne=O.latestFeatureIndex;if(!(!de||!ne||J.id!==de.layerIds[0])){var we=O.collisionBoxArray,Oe=de.layers[0].layout,ht=Math.pow(2,this.transform.zoom-O.tileID.overscaledZ),Yt=O.tileSize/i.EXTENT,cr=this.transform.calculatePosMatrix(O.tileID.toUnwrapped()),Nt=Oe.get(\"text-pitch-alignment\")===\"map\",Ne=Oe.get(\"text-rotation-alignment\")===\"map\",$e=As(O,1,this.transform.zoom),st=_n(cr,Nt,Ne,this.transform,$e),It=null;if(Nt){var Bt=ya(cr,Nt,Ne,this.transform,$e);It=i.multiply([],this.transform.labelPlaneMatrix,Bt)}this.retainedQueryData[de.bucketInstanceId]=new ls(de.bucketInstanceId,ne,de.sourceLayerIndex,de.index,O.tileID);var Ft={bucket:de,layout:Oe,posMatrix:cr,textLabelPlaneMatrix:st,labelToScreenMatrix:It,scale:ht,textPixelRatio:Yt,holdingForFade:O.holdingForFade(),collisionBoxArray:we,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(de.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(de.sourceID)};if(K)for(var Ut=0,zt=de.sortKeyRanges;Ut<zt.length;Ut+=1){var _t=zt[Ut],Dt=_t.sortKey,vt=_t.symbolInstanceStart,lr=_t.symbolInstanceEnd;D.push({sortKey:Dt,symbolInstanceStart:vt,symbolInstanceEnd:lr,parameters:Ft})}else D.push({symbolInstanceStart:0,symbolInstanceEnd:de.symbolInstances.length,parameters:Ft})}},bs.prototype.attemptAnchorPlacement=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne,$e,st){var It=[Nt.textOffset0,Nt.textOffset1],Bt=Su(D,O,K,It,de),Ft=this.collisionIndex.placeCollisionBox(nc(J,Bt.x,Bt.y,ne,we,this.transform.angle),cr,Oe,ht,Yt.predicate);if(st){var Ut=this.collisionIndex.placeCollisionBox(nc(st,Bt.x,Bt.y,ne,we,this.transform.angle),cr,Oe,ht,Yt.predicate);if(Ut.box.length===0)return}if(Ft.box.length>0){var zt;return this.prevPlacement&&this.prevPlacement.variableOffsets[Nt.crossTileID]&&this.prevPlacement.placements[Nt.crossTileID]&&this.prevPlacement.placements[Nt.crossTileID].text&&(zt=this.prevPlacement.variableOffsets[Nt.crossTileID].anchor),this.variableOffsets[Nt.crossTileID]={textOffset:It,width:O,height:K,anchor:D,textBoxScale:de,prevAnchor:zt},this.markUsedJustification(Ne,D,Nt,$e),Ne.allowVerticalPlacement&&(this.markUsedOrientation(Ne,$e,Nt),this.placedOrientations[Nt.crossTileID]=$e),{shift:Bt,placedGlyphBoxes:Ft}}},bs.prototype.placeLayerBucketPart=function(D,J,O){var K=this,de=D.parameters,ne=de.bucket,we=de.layout,Oe=de.posMatrix,ht=de.textLabelPlaneMatrix,Yt=de.labelToScreenMatrix,cr=de.textPixelRatio,Nt=de.holdingForFade,Ne=de.collisionBoxArray,$e=de.partiallyEvaluatedTextSize,st=de.collisionGroup,It=we.get(\"text-optional\"),Bt=we.get(\"icon-optional\"),Ft=we.get(\"text-allow-overlap\"),Ut=we.get(\"icon-allow-overlap\"),zt=we.get(\"text-rotation-alignment\")===\"map\",_t=we.get(\"text-pitch-alignment\")===\"map\",Dt=we.get(\"icon-text-fit\")!==\"none\",vt=we.get(\"symbol-z-order\")===\"viewport-y\",lr=Ft&&(Ut||!ne.hasIconData()||Bt),_r=Ut&&(Ft||!ne.hasTextData()||It);!ne.collisionArrays&&Ne&&ne.deserializeCollisionBoxes(Ne);var Br=function(Ei,Oi){if(!J[Ei.crossTileID]){if(Nt){K.placements[Ei.crossTileID]=new zs(!1,!1,!1);return}var Gi=!1,on=!1,zn=!0,Ja=null,co={box:null,offscreen:null},ts={box:null,offscreen:null},so=null,Yo=null,ms=null,ou=0,Cv=0,Lv=0;Oi.textFeatureIndex?ou=Oi.textFeatureIndex:Ei.useRuntimeCollisionCircles&&(ou=Ei.featureIndex),Oi.verticalTextFeatureIndex&&(Cv=Oi.verticalTextFeatureIndex);var wd=Oi.textBox;if(wd){var Kv=function(vc){var tu=i.WritingMode.horizontal;if(ne.allowVerticalPlacement&&!vc&&K.prevPlacement){var Sd=K.prevPlacement.placedOrientations[Ei.crossTileID];Sd&&(K.placedOrientations[Ei.crossTileID]=Sd,tu=Sd,K.markUsedOrientation(ne,tu,Ei))}return tu},hg=function(vc,tu){if(ne.allowVerticalPlacement&&Ei.numVerticalGlyphVertices>0&&Oi.verticalTextBox)for(var Sd=0,gy=ne.writingModes;Sd<gy.length;Sd+=1){var P1=gy[Sd];if(P1===i.WritingMode.vertical?(co=tu(),ts=co):co=vc(),co&&co.box&&co.box.length)break}else co=vc()};if(we.get(\"text-variable-anchor\")){var Vd=we.get(\"text-variable-anchor\");if(K.prevPlacement&&K.prevPlacement.variableOffsets[Ei.crossTileID]){var Ad=K.prevPlacement.variableOffsets[Ei.crossTileID];Vd.indexOf(Ad.anchor)>0&&(Vd=Vd.filter(function(vc){return vc!==Ad.anchor}),Vd.unshift(Ad.anchor))}var Pv=function(vc,tu,Sd){for(var gy=vc.x2-vc.x1,P1=vc.y2-vc.y1,wu=Ei.textBoxScale,Kx=Dt&&!Ut?tu:null,lm={box:[],offscreen:!1},Uw=Ft?Vd.length*2:Vd.length,Rv=0;Rv<Uw;++Rv){var um=Vd[Rv%Vd.length],Vw=Rv>=Vd.length,Jx=K.attemptAnchorPlacement(um,vc,gy,P1,wu,zt,_t,cr,Oe,st,Vw,Ei,ne,Sd,Kx);if(Jx&&(lm=Jx.placedGlyphBoxes,lm&&lm.box&&lm.box.length)){Gi=!0,Ja=Jx.shift;break}}return lm},Jv=function(){return Pv(wd,Oi.iconBox,i.WritingMode.horizontal)},Iv=function(){var vc=Oi.verticalTextBox,tu=co&&co.box&&co.box.length;return ne.allowVerticalPlacement&&!tu&&Ei.numVerticalGlyphVertices>0&&vc?Pv(vc,Oi.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};hg(Jv,Iv),co&&(Gi=co.box,zn=co.offscreen);var dy=Kv(co&&co.box);if(!Gi&&K.prevPlacement){var dg=K.prevPlacement.variableOffsets[Ei.crossTileID];dg&&(K.variableOffsets[Ei.crossTileID]=dg,K.markUsedJustification(ne,dg.anchor,Ei,dy))}}else{var gp=function(vc,tu){var Sd=K.collisionIndex.placeCollisionBox(vc,Ft,cr,Oe,st.predicate);return Sd&&Sd.box&&Sd.box.length&&(K.markUsedOrientation(ne,tu,Ei),K.placedOrientations[Ei.crossTileID]=tu),Sd},Td=function(){return gp(wd,i.WritingMode.horizontal)},mp=function(){var vc=Oi.verticalTextBox;return ne.allowVerticalPlacement&&Ei.numVerticalGlyphVertices>0&&vc?gp(vc,i.WritingMode.vertical):{box:null,offscreen:null}};hg(Td,mp),Kv(co&&co.box&&co.box.length)}}if(so=co,Gi=so&&so.box&&so.box.length>0,zn=so&&so.offscreen,Ei.useRuntimeCollisionCircles){var oh=ne.text.placedSymbolArray.get(Ei.centerJustifiedTextSymbolIndex),vg=i.evaluateSizeForFeature(ne.textSizeData,$e,oh),vy=we.get(\"text-padding\"),Zh=Ei.collisionCircleDiameter;Yo=K.collisionIndex.placeCollisionCircles(Ft,oh,ne.lineVertexArray,ne.glyphOffsetArray,vg,Oe,ht,Yt,O,_t,st.predicate,Zh,vy),Gi=Ft||Yo.circles.length>0&&!Yo.collisionDetected,zn=zn&&Yo.offscreen}if(Oi.iconFeatureIndex&&(Lv=Oi.iconFeatureIndex),Oi.iconBox){var am=function(vc){var tu=Dt&&Ja?nc(vc,Ja.x,Ja.y,zt,_t,K.transform.angle):vc;return K.collisionIndex.placeCollisionBox(tu,Ut,cr,Oe,st.predicate)};ts&&ts.box&&ts.box.length&&Oi.verticalIconBox?(ms=am(Oi.verticalIconBox),on=ms.box.length>0):(ms=am(Oi.iconBox),on=ms.box.length>0),zn=zn&&ms.offscreen}var C1=It||Ei.numHorizontalGlyphVertices===0&&Ei.numVerticalGlyphVertices===0,L1=Bt||Ei.numIconVertices===0;if(!C1&&!L1?on=Gi=on&&Gi:L1?C1||(on=on&&Gi):Gi=on&&Gi,Gi&&so&&so.box&&(ts&&ts.box&&Cv?K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,Cv,st.ID):K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,st.ID)),on&&ms&&K.collisionIndex.insertCollisionBox(ms.box,we.get(\"icon-ignore-placement\"),ne.bucketInstanceId,Lv,st.ID),Yo&&(Gi&&K.collisionIndex.insertCollisionCircles(Yo.circles,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,st.ID),O)){var py=ne.bucketInstanceId,om=K.collisionCircleArrays[py];om===void 0&&(om=K.collisionCircleArrays[py]=new Io);for(var sm=0;sm<Yo.circles.length;sm+=4)om.circles.push(Yo.circles[sm+0]),om.circles.push(Yo.circles[sm+1]),om.circles.push(Yo.circles[sm+2]),om.circles.push(Yo.collisionDetected?1:0)}K.placements[Ei.crossTileID]=new zs(Gi||lr,on||_r,zn||ne.justReloaded),J[Ei.crossTileID]=!0}};if(vt)for(var Di=ne.getSortedSymbolIndexes(this.transform.angle),ci=Di.length-1;ci>=0;--ci){var bi=Di[ci];Br(ne.symbolInstances.get(bi),ne.collisionArrays[bi])}else for(var gn=D.symbolInstanceStart;gn<D.symbolInstanceEnd;gn++)Br(ne.symbolInstances.get(gn),ne.collisionArrays[gn]);if(O&&ne.bucketInstanceId in this.collisionCircleArrays){var tn=this.collisionCircleArrays[ne.bucketInstanceId];i.invert(tn.invProjMatrix,Oe),tn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ne.justReloaded=!1},bs.prototype.markUsedJustification=function(D,J,O,K){var de={left:O.leftJustifiedTextSymbolIndex,center:O.centerJustifiedTextSymbolIndex,right:O.rightJustifiedTextSymbolIndex},ne;K===i.WritingMode.vertical?ne=O.verticalPlacedTextSymbolIndex:ne=de[i.getAnchorJustification(J)];for(var we=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex,O.verticalPlacedTextSymbolIndex],Oe=0,ht=we;Oe<ht.length;Oe+=1){var Yt=ht[Oe];Yt>=0&&(ne>=0&&Yt!==ne?D.text.placedSymbolArray.get(Yt).crossTileID=0:D.text.placedSymbolArray.get(Yt).crossTileID=O.crossTileID)}},bs.prototype.markUsedOrientation=function(D,J,O){for(var K=J===i.WritingMode.horizontal||J===i.WritingMode.horizontalOnly?J:0,de=J===i.WritingMode.vertical?J:0,ne=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex],we=0,Oe=ne;we<Oe.length;we+=1){var ht=Oe[we];D.text.placedSymbolArray.get(ht).placedOrientation=K}O.verticalPlacedTextSymbolIndex&&(D.text.placedSymbolArray.get(O.verticalPlacedTextSymbolIndex).placedOrientation=de)},bs.prototype.commit=function(D){this.commitTime=D,this.zoomAtLastRecencyCheck=this.transform.zoom;var J=this.prevPlacement,O=!1;this.prevZoomAdjustment=J?J.zoomAdjustment(this.transform.zoom):0;var K=J?J.symbolFadeChange(D):1,de=J?J.opacities:{},ne=J?J.variableOffsets:{},we=J?J.placedOrientations:{};for(var Oe in this.placements){var ht=this.placements[Oe],Yt=de[Oe];Yt?(this.opacities[Oe]=new Ks(Yt,K,ht.text,ht.icon),O=O||ht.text!==Yt.text.placed||ht.icon!==Yt.icon.placed):(this.opacities[Oe]=new Ks(null,K,ht.text,ht.icon,ht.skipFade),O=O||ht.text||ht.icon)}for(var cr in de){var Nt=de[cr];if(!this.opacities[cr]){var Ne=new Ks(Nt,K,!1,!1);Ne.isHidden()||(this.opacities[cr]=Ne,O=O||Nt.text.placed||Nt.icon.placed)}}for(var $e in ne)!this.variableOffsets[$e]&&this.opacities[$e]&&!this.opacities[$e].isHidden()&&(this.variableOffsets[$e]=ne[$e]);for(var st in we)!this.placedOrientations[st]&&this.opacities[st]&&!this.opacities[st].isHidden()&&(this.placedOrientations[st]=we[st]);O?this.lastPlacementChangeTime=D:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=J?J.lastPlacementChangeTime:D)},bs.prototype.updateLayerOpacities=function(D,J){for(var O={},K=0,de=J;K<de.length;K+=1){var ne=de[K],we=ne.getBucket(D);we&&ne.latestFeatureIndex&&D.id===we.layerIds[0]&&this.updateBucketOpacities(we,O,ne.collisionBoxArray)}},bs.prototype.updateBucketOpacities=function(D,J,O){var K=this;D.hasTextData()&&D.text.opacityVertexArray.clear(),D.hasIconData()&&D.icon.opacityVertexArray.clear(),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexArray.clear(),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexArray.clear();var de=D.layers[0].layout,ne=new Ks(null,0,!1,!1,!0),we=de.get(\"text-allow-overlap\"),Oe=de.get(\"icon-allow-overlap\"),ht=de.get(\"text-variable-anchor\"),Yt=de.get(\"text-rotation-alignment\")===\"map\",cr=de.get(\"text-pitch-alignment\")===\"map\",Nt=de.get(\"icon-text-fit\")!==\"none\",Ne=new Ks(null,0,we&&(Oe||!D.hasIconData()||de.get(\"icon-optional\")),Oe&&(we||!D.hasTextData()||de.get(\"text-optional\")),!0);!D.collisionArrays&&O&&(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData())&&D.deserializeCollisionBoxes(O);for(var $e=function(Ft,Ut,zt){for(var _t=0;_t<Ut/4;_t++)Ft.opacityVertexArray.emplaceBack(zt)},st=function(Ft){var Ut=D.symbolInstances.get(Ft),zt=Ut.numHorizontalGlyphVertices,_t=Ut.numVerticalGlyphVertices,Dt=Ut.crossTileID,vt=J[Dt],lr=K.opacities[Dt];vt?lr=ne:lr||(lr=Ne,K.opacities[Dt]=lr),J[Dt]=!0;var _r=zt>0||_t>0,Br=Ut.numIconVertices>0,Di=K.placedOrientations[Ut.crossTileID],ci=Di===i.WritingMode.vertical,bi=Di===i.WritingMode.horizontal||Di===i.WritingMode.horizontalOnly;if(_r){var gn=ac(lr.text),tn=ci?oa:gn;$e(D.text,zt,tn);var Ei=bi?oa:gn;$e(D.text,_t,Ei);var Oi=lr.text.isHidden();[Ut.rightJustifiedTextSymbolIndex,Ut.centerJustifiedTextSymbolIndex,Ut.leftJustifiedTextSymbolIndex].forEach(function(Lv){Lv>=0&&(D.text.placedSymbolArray.get(Lv).hidden=Oi||ci?1:0)}),Ut.verticalPlacedTextSymbolIndex>=0&&(D.text.placedSymbolArray.get(Ut.verticalPlacedTextSymbolIndex).hidden=Oi||bi?1:0);var Gi=K.variableOffsets[Ut.crossTileID];Gi&&K.markUsedJustification(D,Gi.anchor,Ut,Di);var on=K.placedOrientations[Ut.crossTileID];on&&(K.markUsedJustification(D,\"left\",Ut,on),K.markUsedOrientation(D,on,Ut))}if(Br){var zn=ac(lr.icon),Ja=!(Nt&&Ut.verticalPlacedIconSymbolIndex&&ci);if(Ut.placedIconSymbolIndex>=0){var co=Ja?zn:oa;$e(D.icon,Ut.numIconVertices,co),D.icon.placedSymbolArray.get(Ut.placedIconSymbolIndex).hidden=lr.icon.isHidden()}if(Ut.verticalPlacedIconSymbolIndex>=0){var ts=Ja?oa:zn;$e(D.icon,Ut.numVerticalIconVertices,ts),D.icon.placedSymbolArray.get(Ut.verticalPlacedIconSymbolIndex).hidden=lr.icon.isHidden()}}if(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData()){var so=D.collisionArrays[Ft];if(so){var Yo=new i.Point(0,0);if(so.textBox||so.verticalTextBox){var ms=!0;if(ht){var ou=K.variableOffsets[Dt];ou?(Yo=Su(ou.anchor,ou.width,ou.height,ou.textOffset,ou.textBoxScale),Yt&&Yo._rotate(cr?K.transform.angle:-K.transform.angle)):ms=!1}so.textBox&&Rn(D.textCollisionBox.collisionVertexArray,lr.text.placed,!ms||ci,Yo.x,Yo.y),so.verticalTextBox&&Rn(D.textCollisionBox.collisionVertexArray,lr.text.placed,!ms||bi,Yo.x,Yo.y)}var Cv=!!(!bi&&so.verticalIconBox);so.iconBox&&Rn(D.iconCollisionBox.collisionVertexArray,lr.icon.placed,Cv,Nt?Yo.x:0,Nt?Yo.y:0),so.verticalIconBox&&Rn(D.iconCollisionBox.collisionVertexArray,lr.icon.placed,!Cv,Nt?Yo.x:0,Nt?Yo.y:0)}}},It=0;It<D.symbolInstances.length;It++)st(It);if(D.sortFeatures(this.transform.angle),this.retainedQueryData[D.bucketInstanceId]&&(this.retainedQueryData[D.bucketInstanceId].featureSortOrder=D.featureSortOrder),D.hasTextData()&&D.text.opacityVertexBuffer&&D.text.opacityVertexBuffer.updateData(D.text.opacityVertexArray),D.hasIconData()&&D.icon.opacityVertexBuffer&&D.icon.opacityVertexBuffer.updateData(D.icon.opacityVertexArray),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexBuffer&&D.iconCollisionBox.collisionVertexBuffer.updateData(D.iconCollisionBox.collisionVertexArray),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexBuffer&&D.textCollisionBox.collisionVertexBuffer.updateData(D.textCollisionBox.collisionVertexArray),D.bucketInstanceId in this.collisionCircleArrays){var Bt=this.collisionCircleArrays[D.bucketInstanceId];D.placementInvProjMatrix=Bt.invProjMatrix,D.placementViewportMatrix=Bt.viewportMatrix,D.collisionCircleArray=Bt.circles,delete this.collisionCircleArrays[D.bucketInstanceId]}},bs.prototype.symbolFadeChange=function(D){return this.fadeDuration===0?1:(D-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},bs.prototype.zoomAdjustment=function(D){return Math.max(0,(this.transform.zoom-D)/1.5)},bs.prototype.hasTransitions=function(D){return this.stale||D-this.lastPlacementChangeTime<this.fadeDuration},bs.prototype.stillRecent=function(D,J){var O=this.zoomAtLastRecencyCheck===J?1-this.zoomAdjustment(J):1;return this.zoomAtLastRecencyCheck=J,this.commitTime+this.fadeDuration*O>D},bs.prototype.setStale=function(){this.stale=!0};function Rn(Y,D,J,O,K){Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0)}var _a=Math.pow(2,25),Vu=Math.pow(2,24),zl=Math.pow(2,17),xo=Math.pow(2,16),Kl=Math.pow(2,9),Ns=Math.pow(2,8),Hl=Math.pow(2,1);function ac(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var D=Y.placed?1:0,J=Math.floor(Y.opacity*127);return J*_a+D*Vu+J*zl+D*xo+J*Kl+D*Ns+J*Hl+D}var oa=0,qo=function(D){this._sortAcrossTiles=D.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&D.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};qo.prototype.continuePlacement=function(D,J,O,K,de){for(var ne=this._bucketParts;this._currentTileIndex<D.length;){var we=D[this._currentTileIndex];if(J.getBucketParts(ne,K,we,this._sortAcrossTiles),this._currentTileIndex++,de())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,ne.sort(function(ht,Yt){return ht.sortKey-Yt.sortKey}));this._currentPartIndex<ne.length;){var Oe=ne[this._currentPartIndex];if(J.placeLayerBucketPart(Oe,this._seenCrossTileIDs,O),this._currentPartIndex++,de())return!0}return!1};var Oo=function(D,J,O,K,de,ne,we){this.placement=new bs(D,de,ne,we),this._currentPlacementIndex=J.length-1,this._forceFullPlacement=O,this._showCollisionBoxes=K,this._done=!1};Oo.prototype.isDone=function(){return this._done},Oo.prototype.continuePlacement=function(D,J,O){for(var K=this,de=i.browser.now(),ne=function(){var cr=i.browser.now()-de;return K._forceFullPlacement?!1:cr>2};this._currentPlacementIndex>=0;){var we=D[this._currentPlacementIndex],Oe=J[we],ht=this.placement.collisionIndex.transform.zoom;if(Oe.type===\"symbol\"&&(!Oe.minzoom||Oe.minzoom<=ht)&&(!Oe.maxzoom||Oe.maxzoom>ht)){this._inProgressLayer||(this._inProgressLayer=new qo(Oe));var Yt=this._inProgressLayer.continuePlacement(O[Oe.source],this.placement,this._showCollisionBoxes,Oe,ne);if(Yt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Oo.prototype.commit=function(D){return this.placement.commit(D),this.placement};var ql=512/i.EXTENT/2,Pc=function(D,J,O){this.tileID=D,this.indexedSymbolInstances={},this.bucketInstanceId=O;for(var K=0;K<J.length;K++){var de=J.get(K),ne=de.key;this.indexedSymbolInstances[ne]||(this.indexedSymbolInstances[ne]=[]),this.indexedSymbolInstances[ne].push({crossTileID:de.crossTileID,coord:this.getScaledCoordinates(de,D)})}};Pc.prototype.getScaledCoordinates=function(D,J){var O=J.canonical.z-this.tileID.canonical.z,K=ql/Math.pow(2,O);return{x:Math.floor((J.canonical.x*i.EXTENT+D.anchorX)*K),y:Math.floor((J.canonical.y*i.EXTENT+D.anchorY)*K)}},Pc.prototype.findMatches=function(D,J,O){for(var K=this.tileID.canonical.z<J.canonical.z?1:Math.pow(2,this.tileID.canonical.z-J.canonical.z),de=0;de<D.length;de++){var ne=D.get(de);if(!ne.crossTileID){var we=this.indexedSymbolInstances[ne.key];if(we)for(var Oe=this.getScaledCoordinates(ne,J),ht=0,Yt=we;ht<Yt.length;ht+=1){var cr=Yt[ht];if(Math.abs(cr.coord.x-Oe.x)<=K&&Math.abs(cr.coord.y-Oe.y)<=K&&!O[cr.crossTileID]){O[cr.crossTileID]=!0,ne.crossTileID=cr.crossTileID;break}}}}};var Do=function(){this.maxCrossTileID=0};Do.prototype.generate=function(){return++this.maxCrossTileID};var nf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};nf.prototype.handleWrapJump=function(D){var J=Math.round((D-this.lng)/360);if(J!==0)for(var O in this.indexes){var K=this.indexes[O],de={};for(var ne in K){var we=K[ne];we.tileID=we.tileID.unwrapTo(we.tileID.wrap+J),de[we.tileID.key]=we}this.indexes[O]=de}this.lng=D},nf.prototype.addBucket=function(D,J,O){if(this.indexes[D.overscaledZ]&&this.indexes[D.overscaledZ][D.key]){if(this.indexes[D.overscaledZ][D.key].bucketInstanceId===J.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(D.overscaledZ,this.indexes[D.overscaledZ][D.key])}for(var K=0;K<J.symbolInstances.length;K++){var de=J.symbolInstances.get(K);de.crossTileID=0}this.usedCrossTileIDs[D.overscaledZ]||(this.usedCrossTileIDs[D.overscaledZ]={});var ne=this.usedCrossTileIDs[D.overscaledZ];for(var we in this.indexes){var Oe=this.indexes[we];if(Number(we)>D.overscaledZ)for(var ht in Oe){var Yt=Oe[ht];Yt.tileID.isChildOf(D)&&Yt.findMatches(J.symbolInstances,D,ne)}else{var cr=D.scaledTo(Number(we)),Nt=Oe[cr.key];Nt&&Nt.findMatches(J.symbolInstances,D,ne)}}for(var Ne=0;Ne<J.symbolInstances.length;Ne++){var $e=J.symbolInstances.get(Ne);$e.crossTileID||($e.crossTileID=O.generate(),ne[$e.crossTileID]=!0)}return this.indexes[D.overscaledZ]===void 0&&(this.indexes[D.overscaledZ]={}),this.indexes[D.overscaledZ][D.key]=new Pc(D,J.symbolInstances,J.bucketInstanceId),!0},nf.prototype.removeBucketCrossTileIDs=function(D,J){for(var O in J.indexedSymbolInstances)for(var K=0,de=J.indexedSymbolInstances[O];K<de.length;K+=1){var ne=de[K];delete this.usedCrossTileIDs[D][ne.crossTileID]}},nf.prototype.removeStaleBuckets=function(D){var J=!1;for(var O in this.indexes){var K=this.indexes[O];for(var de in K)D[K[de].bucketInstanceId]||(this.removeBucketCrossTileIDs(O,K[de]),delete K[de],J=!0)}return J};var Vf=function(){this.layerIndexes={},this.crossTileIDs=new Do,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Vf.prototype.addLayer=function(D,J,O){var K=this.layerIndexes[D.id];K===void 0&&(K=this.layerIndexes[D.id]=new nf);var de=!1,ne={};K.handleWrapJump(O);for(var we=0,Oe=J;we<Oe.length;we+=1){var ht=Oe[we],Yt=ht.getBucket(D);!Yt||D.id!==Yt.layerIds[0]||(Yt.bucketInstanceId||(Yt.bucketInstanceId=++this.maxBucketInstanceId),K.addBucket(ht.tileID,Yt,this.crossTileIDs)&&(de=!0),ne[Yt.bucketInstanceId]=!0)}return K.removeStaleBuckets(ne)&&(de=!0),de},Vf.prototype.pruneUnusedLayers=function(D){var J={};D.forEach(function(K){J[K]=!0});for(var O in this.layerIndexes)J[O]||delete this.layerIndexes[O]};var pl=function(Y,D){return i.emitValidationErrors(Y,D&&D.filter(function(J){return J.identifier!==\"source.canvas\"}))},Zc=i.pick(da,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Jl=i.pick(da,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),qs=Xo(),yu=(function(Y){function D(J,O){var K=this;O===void 0&&(O={}),Y.call(this),this.map=J,this.dispatcher=new Z(Ba(),this),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new P(J._requestManager,O.localIdeographFontFamily),this.lineAtlas=new G(256,512),this.crossTileSymbolIndex=new Vf,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var de=this;this._rtlTextPluginCallback=D.registerForPluginStateChange(function(ne){var we={pluginStatus:ne.pluginStatus,pluginURL:ne.pluginURL};de.dispatcher.broadcast(\"syncRTLPluginState\",we,function(Oe,ht){if(i.triggerPluginCompletionEvent(Oe),ht){var Yt=ht.every(function(Nt){return Nt});if(Yt)for(var cr in de.sourceCaches)de.sourceCaches[cr].reload()}})}),this.on(\"data\",function(ne){if(!(ne.dataType!==\"source\"||ne.sourceDataType!==\"metadata\")){var we=K.sourceCaches[ne.sourceId];if(we){var Oe=we.getSource();if(!(!Oe||!Oe.vectorLayerIds))for(var ht in K._layers){var Yt=K._layers[ht];Yt.source===Oe.id&&K._validateLayer(Yt)}}}})}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.loadURL=function(O,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var ne=typeof K.validate==\"boolean\"?K.validate:!i.isMapboxURL(O);O=this.map._requestManager.normalizeStyleURL(O,K.accessToken);var we=this.map._requestManager.transformRequest(O,i.ResourceType.Style);this._request=i.getJSON(we,function(Oe,ht){de._request=null,Oe?de.fire(new i.ErrorEvent(Oe)):ht&&de._load(ht,ne)})},D.prototype.loadJSON=function(O,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){de._request=null,de._load(O,K.validate!==!1)})},D.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(qs,!1)},D.prototype._load=function(O,K){if(!(K&&pl(this,i.validateStyle(O)))){this._loaded=!0,this.stylesheet=O;for(var de in O.sources)this.addSource(de,O.sources[de],{validate:!1});O.sprite?this._loadSprite(O.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(O.glyphs);var ne=za(this.stylesheet.layers);this._order=ne.map(function(Yt){return Yt.id}),this._layers={},this._serializedLayers={};for(var we=0,Oe=ne;we<Oe.length;we+=1){var ht=Oe[we];ht=i.createStyleLayer(ht),ht.setEventedParent(this,{layer:{id:ht.id}}),this._layers[ht.id]=ht,this._serializedLayers[ht.id]=ht.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},D.prototype._loadSprite=function(O){var K=this;this._spriteRequest=m(O,this.map._requestManager,function(de,ne){if(K._spriteRequest=null,de)K.fire(new i.ErrorEvent(de));else if(ne)for(var we in ne)K.imageManager.addImage(we,ne[we]);K.imageManager.setLoaded(!0),K._availableImages=K.imageManager.listImages(),K.dispatcher.broadcast(\"setImages\",K._availableImages),K.fire(new i.Event(\"data\",{dataType:\"style\"}))})},D.prototype._validateLayer=function(O){var K=this.sourceCaches[O.source];if(K){var de=O.sourceLayer;if(de){var ne=K.getSource();(ne.type===\"geojson\"||ne.vectorLayerIds&&ne.vectorLayerIds.indexOf(de)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+de+'\" does not exist on source \"'+ne.id+'\" as specified by style layer \"'+O.id+'\"')))}}},D.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var O in this.sourceCaches)if(!this.sourceCaches[O].loaded())return!1;return!!this.imageManager.isLoaded()},D.prototype._serializeLayers=function(O){for(var K=[],de=0,ne=O;de<ne.length;de+=1){var we=ne[de],Oe=this._layers[we];Oe.type!==\"custom\"&&K.push(Oe.serialize())}return K},D.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var O in this.sourceCaches)if(this.sourceCaches[O].hasTransition())return!0;for(var K in this._layers)if(this._layers[K].hasTransition())return!0;return!1},D.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},D.prototype.update=function(O){if(this._loaded){var K=this._changed;if(this._changed){var de=Object.keys(this._updatedLayers),ne=Object.keys(this._removedLayers);(de.length||ne.length)&&this._updateWorkerLayers(de,ne);for(var we in this._updatedSources){var Oe=this._updatedSources[we];Oe===\"reload\"?this._reloadSource(we):Oe===\"clear\"&&this._clearSource(we)}this._updateTilesForChangedImages();for(var ht in this._updatedPaintProps)this._layers[ht].updateTransitions(O);this.light.updateTransitions(O),this._resetUpdates()}var Yt={};for(var cr in this.sourceCaches){var Nt=this.sourceCaches[cr];Yt[cr]=Nt.used,Nt.used=!1}for(var Ne=0,$e=this._order;Ne<$e.length;Ne+=1){var st=$e[Ne],It=this._layers[st];It.recalculate(O,this._availableImages),!It.isHidden(O.zoom)&&It.source&&(this.sourceCaches[It.source].used=!0)}for(var Bt in Yt){var Ft=this.sourceCaches[Bt];Yt[Bt]!==Ft.used&&Ft.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:Bt}))}this.light.recalculate(O),this.z=O.zoom,K&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},D.prototype._updateTilesForChangedImages=function(){var O=Object.keys(this._changedImages);if(O.length){for(var K in this.sourceCaches)this.sourceCaches[K].reloadTilesForDependencies([\"icons\",\"patterns\"],O);this._changedImages={}}},D.prototype._updateWorkerLayers=function(O,K){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(O),removedIds:K})},D.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},D.prototype.setState=function(O){var K=this;if(this._checkLoaded(),pl(this,i.validateStyle(O)))return!1;O=i.clone$1(O),O.layers=za(O.layers);var de=Sn(this.serialize(),O).filter(function(we){return!(we.command in Jl)});if(de.length===0)return!1;var ne=de.filter(function(we){return!(we.command in Zc)});if(ne.length>0)throw new Error(\"Unimplemented: \"+ne.map(function(we){return we.command}).join(\", \")+\".\");return de.forEach(function(we){we.command!==\"setTransition\"&&K[we.command].apply(K,we.args)}),this.stylesheet=O,!0},D.prototype.addImage=function(O,K){if(this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(O,K),this._afterImageUpdated(O)},D.prototype.updateImage=function(O,K){this.imageManager.updateImage(O,K)},D.prototype.getImage=function(O){return this.imageManager.getImage(O)},D.prototype.removeImage=function(O){if(!this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(O),this._afterImageUpdated(O)},D.prototype._afterImageUpdated=function(O){this._availableImages=this.imageManager.listImages(),this._changedImages[O]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},D.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},D.prototype.addSource=function(O,K,de){var ne=this;if(de===void 0&&(de={}),this._checkLoaded(),this.sourceCaches[O]!==void 0)throw new Error(\"There is already a source with this ID\");if(!K.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(K).join(\", \")+\".\");var we=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],Oe=we.indexOf(K.type)>=0;if(!(Oe&&this._validate(i.validateStyle.source,\"sources.\"+O,K,null,de))){this.map&&this.map._collectResourceTiming&&(K.collectResourceTiming=!0);var ht=this.sourceCaches[O]=new ti(O,K,this.dispatcher);ht.style=this,ht.setEventedParent(this,function(){return{isSourceLoaded:ne.loaded(),source:ht.serialize(),sourceId:O}}),ht.onAdd(this.map),this._changed=!0}},D.prototype.removeSource=function(O){if(this._checkLoaded(),this.sourceCaches[O]===void 0)throw new Error(\"There is no source with this ID\");for(var K in this._layers)if(this._layers[K].source===O)return this.fire(new i.ErrorEvent(new Error('Source \"'+O+'\" cannot be removed while layer \"'+K+'\" is using it.')));var de=this.sourceCaches[O];delete this.sourceCaches[O],delete this._updatedSources[O],de.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:O})),de.setEventedParent(null),de.clearTiles(),de.onRemove&&de.onRemove(this.map),this._changed=!0},D.prototype.setGeoJSONSourceData=function(O,K){this._checkLoaded();var de=this.sourceCaches[O].getSource();de.setData(K),this._changed=!0},D.prototype.getSource=function(O){return this.sourceCaches[O]&&this.sourceCaches[O].getSource()},D.prototype.addLayer=function(O,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=O.id;if(this.getLayer(ne)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+ne+'\" already exists on this map')));return}var we;if(O.type===\"custom\"){if(pl(this,i.validateCustomStyleLayer(O)))return;we=i.createStyleLayer(O)}else{if(typeof O.source==\"object\"&&(this.addSource(ne,O.source),O=i.clone$1(O),O=i.extend(O,{source:ne})),this._validate(i.validateStyle.layer,\"layers.\"+ne,O,{arrayIndex:-1},de))return;we=i.createStyleLayer(O),this._validateLayer(we),we.setEventedParent(this,{layer:{id:ne}}),this._serializedLayers[we.id]=we.serialize()}var Oe=K?this._order.indexOf(K):this._order.length;if(K&&Oe===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}if(this._order.splice(Oe,0,ne),this._layerOrderChanged=!0,this._layers[ne]=we,this._removedLayers[ne]&&we.source&&we.type!==\"custom\"){var ht=this._removedLayers[ne];delete this._removedLayers[ne],ht.type!==we.type?this._updatedSources[we.source]=\"clear\":(this._updatedSources[we.source]=\"reload\",this.sourceCaches[we.source].pause())}this._updateLayer(we),we.onAdd&&we.onAdd(this.map)},D.prototype.moveLayer=function(O,K){this._checkLoaded(),this._changed=!0;var de=this._layers[O];if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be moved.\")));return}if(O!==K){var ne=this._order.indexOf(O);this._order.splice(ne,1);var we=K?this._order.indexOf(K):this._order.length;if(K&&we===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}this._order.splice(we,0,O),this._layerOrderChanged=!0}},D.prototype.removeLayer=function(O){this._checkLoaded();var K=this._layers[O];if(!K){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be removed.\")));return}K.setEventedParent(null);var de=this._order.indexOf(O);this._order.splice(de,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[O]=K,delete this._layers[O],delete this._serializedLayers[O],delete this._updatedLayers[O],delete this._updatedPaintProps[O],K.onRemove&&K.onRemove(this.map)},D.prototype.getLayer=function(O){return this._layers[O]},D.prototype.hasLayer=function(O){return O in this._layers},D.prototype.setLayerZoomRange=function(O,K,de){this._checkLoaded();var ne=this.getLayer(O);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot have zoom extent.\")));return}ne.minzoom===K&&ne.maxzoom===de||(K!=null&&(ne.minzoom=K),de!=null&&(ne.maxzoom=de),this._updateLayer(ne))},D.prototype.setFilter=function(O,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=this.getLayer(O);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(ne.filter,K)){if(K==null){ne.filter=void 0,this._updateLayer(ne);return}this._validate(i.validateStyle.filter,\"layers.\"+ne.id+\".filter\",K,null,de)||(ne.filter=i.clone$1(K),this._updateLayer(ne))}},D.prototype.getFilter=function(O){return i.clone$1(this.getLayer(O).filter)},D.prototype.setLayoutProperty=function(O,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(O);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(we.getLayoutProperty(K),de)||(we.setLayoutProperty(K,de,ne),this._updateLayer(we))},D.prototype.getLayoutProperty=function(O,K){var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style.\")));return}return de.getLayoutProperty(K)},D.prototype.setPaintProperty=function(O,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(O);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(we.getPaintProperty(K),de)){var Oe=we.setPaintProperty(K,de,ne);Oe&&this._updateLayer(we),this._changed=!0,this._updatedPaintProps[O]=!0}},D.prototype.getPaintProperty=function(O,K){return this.getLayer(O).getPaintProperty(K)},D.prototype.setFeatureState=function(O,K){this._checkLoaded();var de=O.source,ne=O.sourceLayer,we=this.sourceCaches[de];if(we===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var Oe=we.getSource().type;if(Oe===\"geojson\"&&ne){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if(Oe===\"vector\"&&!ne){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),we.setFeatureState(ne,O.id,K)},D.prototype.removeFeatureState=function(O,K){this._checkLoaded();var de=O.source,ne=this.sourceCaches[de];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type,Oe=we===\"vector\"?O.sourceLayer:void 0;if(we===\"vector\"&&!Oe){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if(K&&typeof O.id!=\"string\"&&typeof O.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}ne.removeFeatureState(Oe,O.id,K)},D.prototype.getFeatureState=function(O){this._checkLoaded();var K=O.source,de=O.sourceLayer,ne=this.sourceCaches[K];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+K+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type;if(we===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),ne.getFeatureState(de,O.id)},D.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},D.prototype.serialize=function(){return i.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:i.mapObject(this.sourceCaches,function(O){return O.serialize()}),layers:this._serializeLayers(this._order)},function(O){return O!==void 0})},D.prototype._updateLayer=function(O){this._updatedLayers[O.id]=!0,O.source&&!this._updatedSources[O.source]&&this.sourceCaches[O.source].getSource().type!==\"raster\"&&(this._updatedSources[O.source]=\"reload\",this.sourceCaches[O.source].pause()),this._changed=!0},D.prototype._flattenAndSortRenderedFeatures=function(O){for(var K=this,de=function(bi){return K._layers[bi].type===\"fill-extrusion\"},ne={},we=[],Oe=this._order.length-1;Oe>=0;Oe--){var ht=this._order[Oe];if(de(ht)){ne[ht]=Oe;for(var Yt=0,cr=O;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=Nt[ht];if(Ne)for(var $e=0,st=Ne;$e<st.length;$e+=1){var It=st[$e];we.push(It)}}}}we.sort(function(bi,gn){return gn.intersectionZ-bi.intersectionZ});for(var Bt=[],Ft=this._order.length-1;Ft>=0;Ft--){var Ut=this._order[Ft];if(de(Ut))for(var zt=we.length-1;zt>=0;zt--){var _t=we[zt].feature;if(ne[_t.layer.id]<Ft)break;Bt.push(_t),we.pop()}else for(var Dt=0,vt=O;Dt<vt.length;Dt+=1){var lr=vt[Dt],_r=lr[Ut];if(_r)for(var Br=0,Di=_r;Br<Di.length;Br+=1){var ci=Di[Br];Bt.push(ci.feature)}}}return Bt},D.prototype.queryRenderedFeatures=function(O,K,de){K&&K.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",K.filter,null,K);var ne={};if(K&&K.layers){if(!Array.isArray(K.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var we=0,Oe=K.layers;we<Oe.length;we+=1){var ht=Oe[we],Yt=this._layers[ht];if(!Yt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+ht+\"' does not exist in the map's style and cannot be queried for features.\"))),[];ne[Yt.source]=!0}}var cr=[];K.availableImages=this._availableImages;for(var Nt in this.sourceCaches)K.layers&&!ne[Nt]||cr.push(ce(this.sourceCaches[Nt],this._layers,this._serializedLayers,O,K,de));return this.placement&&cr.push(He(this._layers,this._serializedLayers,this.sourceCaches,O,K,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(cr)},D.prototype.querySourceFeatures=function(O,K){K&&K.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",K.filter,null,K);var de=this.sourceCaches[O];return de?lt(de,K):[]},D.prototype.addSourceType=function(O,K,de){if(D.getSourceType(O))return de(new Error('A source type called \"'+O+'\" already exists.'));if(D.setSourceType(O,K),!K.workerSourceURL)return de(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:O,url:K.workerSourceURL},de)},D.prototype.getLight=function(){return this.light.getLight()},D.prototype.setLight=function(O,K){K===void 0&&(K={}),this._checkLoaded();var de=this.light.getLight(),ne=!1;for(var we in O)if(!i.deepEqual(O[we],de[we])){ne=!0;break}if(ne){var Oe={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(O,K),this.light.updateTransitions(Oe)}},D.prototype._validate=function(O,K,de,ne,we){return we===void 0&&(we={}),we&&we.validate===!1?!1:pl(this,O.call(i.validateStyle,i.extend({key:K,style:this.serialize(),value:de,styleSpec:i.styleSpec},ne)))},D.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var O in this._layers){var K=this._layers[O];K.setEventedParent(null)}for(var de in this.sourceCaches)this.sourceCaches[de].clearTiles(),this.sourceCaches[de].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},D.prototype._clearSource=function(O){this.sourceCaches[O].clearTiles()},D.prototype._reloadSource=function(O){this.sourceCaches[O].resume(),this.sourceCaches[O].reload()},D.prototype._updateSources=function(O){for(var K in this.sourceCaches)this.sourceCaches[K].update(O)},D.prototype._generateCollisionBoxes=function(){for(var O in this.sourceCaches)this._reloadSource(O)},D.prototype._updatePlacement=function(O,K,de,ne,we){we===void 0&&(we=!1);for(var Oe=!1,ht=!1,Yt={},cr=0,Nt=this._order;cr<Nt.length;cr+=1){var Ne=Nt[cr],$e=this._layers[Ne];if($e.type===\"symbol\"){if(!Yt[$e.source]){var st=this.sourceCaches[$e.source];Yt[$e.source]=st.getRenderableIds(!0).map(function(Dt){return st.getTileByID(Dt)}).sort(function(Dt,vt){return vt.tileID.overscaledZ-Dt.tileID.overscaledZ||(Dt.tileID.isLessThan(vt.tileID)?-1:1)})}var It=this.crossTileSymbolIndex.addLayer($e,Yt[$e.source],O.center.lng);Oe=Oe||It}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),we=we||this._layerOrderChanged||de===0,(we||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),O.zoom))&&(this.pauseablePlacement=new Oo(O,this._order,we,K,de,ne,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Yt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),ht=!0),Oe&&this.pauseablePlacement.placement.setStale()),ht||Oe)for(var Bt=0,Ft=this._order;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=this._layers[Ut];zt.type===\"symbol\"&&this.placement.updateLayerOpacities(zt,Yt[zt.source])}var _t=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return _t},D.prototype._releaseSymbolFadeTiles=function(){for(var O in this.sourceCaches)this.sourceCaches[O].releaseSymbolFadeTiles()},D.prototype.getImages=function(O,K,de){this.imageManager.getImages(K.icons,de),this._updateTilesForChangedImages();var ne=this.sourceCaches[K.source];ne&&ne.setDependencies(K.tileID.key,K.type,K.icons)},D.prototype.getGlyphs=function(O,K,de){this.glyphManager.getGlyphs(K.stacks,de)},D.prototype.getResource=function(O,K,de){return i.makeRequest(K,de)},D})(i.Evented);yu.getSourceType=Be,yu.setSourceType=Le,yu.registerForPluginStateChange=i.registerForPluginStateChange;var oc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Cf=`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif`,sc=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}`,jh=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Lf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",cs=`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,af=\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\",Gf=`varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,$l=`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`,fl=\"void main() {gl_FragColor=vec4(1.0);}\",lc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Fu=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Es=`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}`,Hs=`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,Go=\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\",ps=\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",uc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",bl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",Gu=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",Os=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",od=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",Po=`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,sd=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,Ko=`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Pa=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,of=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Hu=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,wl=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Hf=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,Ic=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,yf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Ol=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ah=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,Qf=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,_f=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",Yc=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,eh=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",th=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ju=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,jf=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,cc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,sf=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Bl=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Kc=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Rc=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,gs=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Wf=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",Wh=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,rh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,lf=`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Sh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,Mu=`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ih=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,js=Us(Cf,sc),Eu=Us(jh,Lf),Dc=Us(cs,af),ks=Us(Gf,$l),bc=Us(fl,lc),hu=Us(Fu,Es),_u=Us(Hs,Go),il=Us(ps,uc),nh=Us(bl,Gu),Mh=Us(Os,od),zu=Us(Po,sd),Fc=Us(Ko,Pa),wc=Us(of,Hu),bd=Us(wl,Hf),xf=Us(Ic,yf),Pf=Us(Ol,Ah),qu=Us(Qf,_f),bf=Us(Yc,eh),jl=Us(th,ju),uf=Us(jf,cc),Xh=Us(sf,Bl),If=Us(Kc,Rc),Cs=Us(gs,Wf),du=Us(Wh,rh),ku=Us(lf,Sh),Xf=Us(Mu,ih);function Us(Y,D){var J=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,O=D.match(/attribute ([\\w]+) ([\\w]+)/g),K=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=D.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),ne=de?de.concat(K):K,we={};return Y=Y.replace(J,function(Oe,ht,Yt,cr,Nt){return we[Nt]=!0,ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "varying `+Yt+\" \"+cr+\" \"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`}),D=D.replace(J,function(Oe,ht,Yt,cr,Nt){var Ne=cr===\"float\"?\"vec2\":\"vec4\",$e=Nt.match(/color/)?\"color\":Ne;return we[Nt]?ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "uniform lowp float u_`+Nt+`_t;\n",
+       "attribute `+Yt+\" \"+Ne+\" a_\"+Nt+`;\n",
+       "varying `+Yt+\" \"+cr+\" \"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:$e===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Nt+\" = a_\"+Nt+`;\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Nt+\" = unpack_mix_\"+$e+\"(a_\"+Nt+\", u_\"+Nt+`_t);\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "uniform lowp float u_`+Nt+`_t;\n",
+       "attribute `+Yt+\" \"+Ne+\" a_\"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:$e===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = a_\"+Nt+`;\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = unpack_mix_\"+$e+\"(a_\"+Nt+\", u_\"+Nt+`_t);\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`}),{fragmentSource:Y,vertexSource:D,staticAttributes:O,staticUniforms:ne}}var wf=Object.freeze({__proto__:null,prelude:js,background:Eu,backgroundPattern:Dc,circle:ks,clippingMask:bc,heatmap:hu,heatmapTexture:_u,collisionBox:il,collisionCircle:nh,debug:Mh,fill:zu,fillOutline:Fc,fillOutlinePattern:wc,fillPattern:bd,fillExtrusion:xf,fillExtrusionPattern:Pf,hillshadePrepare:qu,hillshade:bf,line:jl,lineGradient:uf,linePattern:Xh,lineSDF:If,raster:Cs,symbolIcon:du,symbolSDF:ku,symbolTextAndIcon:Xf}),zc=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};zc.prototype.bind=function(D,J,O,K,de,ne,we,Oe){this.context=D;for(var ht=this.boundPaintVertexBuffers.length!==K.length,Yt=0;!ht&&Yt<K.length;Yt++)this.boundPaintVertexBuffers[Yt]!==K[Yt]&&(ht=!0);var cr=!this.vao||this.boundProgram!==J||this.boundLayoutVertexBuffer!==O||ht||this.boundIndexBuffer!==de||this.boundVertexOffset!==ne||this.boundDynamicVertexBuffer!==we||this.boundDynamicVertexBuffer2!==Oe;!D.extVertexArrayObject||cr?this.freshBind(J,O,K,de,ne,we,Oe):(D.bindVertexArrayOES.set(this.vao),we&&we.bind(),de&&de.dynamicDraw&&de.bind(),Oe&&Oe.bind())},zc.prototype.freshBind=function(D,J,O,K,de,ne,we){var Oe,ht=D.numAttributes,Yt=this.context,cr=Yt.gl;if(Yt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Yt.extVertexArrayObject.createVertexArrayOES(),Yt.bindVertexArrayOES.set(this.vao),Oe=0,this.boundProgram=D,this.boundLayoutVertexBuffer=J,this.boundPaintVertexBuffers=O,this.boundIndexBuffer=K,this.boundVertexOffset=de,this.boundDynamicVertexBuffer=ne,this.boundDynamicVertexBuffer2=we;else{Oe=Yt.currentNumAttributes||0;for(var Nt=ht;Nt<Oe;Nt++)cr.disableVertexAttribArray(Nt)}J.enableAttributes(cr,D);for(var Ne=0,$e=O;Ne<$e.length;Ne+=1){var st=$e[Ne];st.enableAttributes(cr,D)}ne&&ne.enableAttributes(cr,D),we&&we.enableAttributes(cr,D),J.bind(),J.setVertexAttribPointers(cr,D,de);for(var It=0,Bt=O;It<Bt.length;It+=1){var Ft=Bt[It];Ft.bind(),Ft.setVertexAttribPointers(cr,D,de)}ne&&(ne.bind(),ne.setVertexAttribPointers(cr,D,de)),K&&K.bind(),we&&(we.bind(),we.setVertexAttribPointers(cr,D,de)),Yt.currentNumAttributes=ht},zc.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function Wu(Y){for(var D=[],J=0;J<Y.length;J++)if(Y[J]!==null){var O=Y[J].split(\" \");D.push(O.pop())}return D}var Rf=function(D,J,O,K,de,ne){var we=D.gl;this.program=we.createProgram();for(var Oe=Wu(O.staticAttributes),ht=K?K.getBinderAttributes():[],Yt=Oe.concat(ht),cr=O.staticUniforms?Wu(O.staticUniforms):[],Nt=K?K.getBinderUniforms():[],Ne=cr.concat(Nt),$e=[],st=0,It=Ne;st<It.length;st+=1){var Bt=It[st];$e.indexOf(Bt)<0&&$e.push(Bt)}var Ft=K?K.defines():[];ne&&Ft.push(\"#define OVERDRAW_INSPECTOR;\");var Ut=Ft.concat(js.fragmentSource,O.fragmentSource).join(`\n",
+       "`),zt=Ft.concat(js.vertexSource,O.vertexSource).join(`\n",
+       "`),_t=we.createShader(we.FRAGMENT_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(_t,Ut),we.compileShader(_t),we.attachShader(this.program,_t);var Dt=we.createShader(we.VERTEX_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(Dt,zt),we.compileShader(Dt),we.attachShader(this.program,Dt),this.attributes={};var vt={};this.numAttributes=Yt.length;for(var lr=0;lr<this.numAttributes;lr++)Yt[lr]&&(we.bindAttribLocation(this.program,lr,Yt[lr]),this.attributes[Yt[lr]]=lr);we.linkProgram(this.program),we.deleteShader(Dt),we.deleteShader(_t);for(var _r=0;_r<$e.length;_r++){var Br=$e[_r];if(Br&&!vt[Br]){var Di=we.getUniformLocation(this.program,Br);Di&&(vt[Br]=Di)}}this.fixedUniforms=de(D,vt),this.binderUniforms=K?K.getUniforms(D,vt):[]};Rf.prototype.draw=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne,$e,st,It){var Bt,Ft=D.gl;if(!this.failedToCreate){D.program.set(this.program),D.setDepthMode(O),D.setStencilMode(K),D.setColorMode(de),D.setCullFace(ne);for(var Ut in this.fixedUniforms)this.fixedUniforms[Ut].set(we[Ut]);$e&&$e.setUniforms(D,this.binderUniforms,Nt,{zoom:Ne});for(var zt=(Bt={},Bt[Ft.LINES]=2,Bt[Ft.TRIANGLES]=3,Bt[Ft.LINE_STRIP]=1,Bt)[J],_t=0,Dt=cr.get();_t<Dt.length;_t+=1){var vt=Dt[_t],lr=vt.vaos||(vt.vaos={}),_r=lr[Oe]||(lr[Oe]=new zc);_r.bind(D,this,ht,$e?$e.getPaintVertexBuffers():[],Yt,vt.vertexOffset,st,It),Ft.drawElements(J,vt.primitiveLength*zt,Ft.UNSIGNED_SHORT,vt.primitiveOffset*zt*2)}}};function Xu(Y,D,J){var O=1/As(J,1,D.transform.tileZoom),K=Math.pow(2,J.tileID.overscaledZ),de=J.tileSize*Math.pow(2,D.transform.tileZoom)/K,ne=de*(J.tileID.canonical.x+J.tileID.wrap*K),we=de*J.tileID.canonical.y;return{u_image:0,u_texsize:J.imageAtlasTexture.size,u_scale:[O,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[ne>>16,we>>16],u_pixel_coord_lower:[ne&65535,we&65535]}}function cf(Y,D,J,O){var K=J.imageManager.getPattern(Y.from.toString()),de=J.imageManager.getPattern(Y.to.toString()),ne=J.imageManager.getPixelSize(),we=ne.width,Oe=ne.height,ht=Math.pow(2,O.tileID.overscaledZ),Yt=O.tileSize*Math.pow(2,J.transform.tileZoom)/ht,cr=Yt*(O.tileID.canonical.x+O.tileID.wrap*ht),Nt=Yt*O.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:K.tl,u_pattern_br_a:K.br,u_pattern_tl_b:de.tl,u_pattern_br_b:de.br,u_texsize:[we,Oe],u_mix:D.t,u_pattern_size_a:K.displaySize,u_pattern_size_b:de.displaySize,u_scale_a:D.fromScale,u_scale_b:D.toScale,u_tile_units_to_pixels:1/As(O,1,J.transform.tileZoom),u_pixel_coord_upper:[cr>>16,Nt>>16],u_pixel_coord_lower:[cr&65535,Nt&65535]}}var Zf=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},Wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,D.u_height_factor),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},ah=function(Y,D,J,O){var K=D.style.light,de=K.properties.get(\"position\"),ne=[de.x,de.y,de.z],we=i.create$1();K.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(we,-D.transform.angle),i.transformMat3(ne,ne,we);var Oe=K.properties.get(\"color\");return{u_matrix:Y,u_lightpos:ne,u_lightintensity:K.properties.get(\"intensity\"),u_lightcolor:[Oe.r,Oe.g,Oe.b],u_vertical_gradient:+J,u_opacity:O}},Zu=function(Y,D,J,O,K,de,ne){return i.extend(ah(Y,D,J,O),Xu(de,D,ne),{u_height_factor:-Math.pow(2,K.overscaledZ)/ne.tileSize/8})},qc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Tc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},Tl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world)}},vu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},Oc=function(Y){return{u_matrix:Y}},ff=function(Y,D,J,O){return i.extend(Oc(Y),Xu(J,D,O))},fc=function(Y,D){return{u_matrix:Y,u_world:D}},Bc=function(Y,D,J,O,K){return i.extend(ff(Y,D,J,O),{u_world:K})},kt=function(Y,D){return{u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,D.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Zt=function(Y,D,J,O){var K=Y.transform,de,ne;if(O.paint.get(\"circle-pitch-alignment\")===\"map\"){var we=As(J,1,K.zoom);de=!0,ne=[we,we]}else de=!1,ne=K.pixelsToGLUnits;return{u_camera_to_center_distance:K.cameraToCenterDistance,u_scale_with_map:+(O.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Y.translatePosMatrix(D.posMatrix,J,O.paint.get(\"circle-translate\"),O.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+de,u_device_pixel_ratio:i.browser.devicePixelRatio,u_extrude_scale:ne}},Er=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pixels_to_tile_units:new i.Uniform1f(Y,D.u_pixels_to_tile_units),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_overscale_factor:new i.Uniform1f(Y,D.u_overscale_factor)}},xr=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_inv_matrix:new i.UniformMatrix4f(Y,D.u_inv_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_viewport_size:new i.Uniform2f(Y,D.u_viewport_size)}},Kr=function(Y,D,J){var O=As(J,1,D.zoom),K=Math.pow(2,D.zoom-J.tileID.overscaledZ),de=J.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:D.cameraToCenterDistance,u_pixels_to_tile_units:O,u_extrude_scale:[D.pixelsToGLUnits[0]/(O*K),D.pixelsToGLUnits[1]/(O*K)],u_overscale_factor:de}},Mi=function(Y,D,J){return{u_matrix:Y,u_inv_matrix:D,u_camera_to_center_distance:J.cameraToCenterDistance,u_viewport_size:[J.width,J.height]}},Xi=function(Y,D){return{u_color:new i.UniformColor(Y,D.u_color),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_overlay:new i.Uniform1i(Y,D.u_overlay),u_overlay_scale:new i.Uniform1f(Y,D.u_overlay_scale)}},dn=function(Y,D,J){return J===void 0&&(J=1),{u_matrix:Y,u_color:D,u_overlay:0,u_overlay_scale:J}},wn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},On=function(Y){return{u_matrix:Y}},Yi=function(Y,D){return{u_extrude_scale:new i.Uniform1f(Y,D.u_extrude_scale),u_intensity:new i.Uniform1f(Y,D.u_intensity),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},$i=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_color_ramp:new i.Uniform1i(Y,D.u_color_ramp),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},an=function(Y,D,J,O){return{u_matrix:Y,u_extrude_scale:As(D,1,J),u_intensity:O}},Fi=function(Y,D,J,O){var K=i.create();i.ortho(K,0,Y.width,Y.height,0,0,1);var de=Y.context.gl;return{u_matrix:K,u_world:[de.drawingBufferWidth,de.drawingBufferHeight],u_image:J,u_color_ramp:O,u_opacity:D.paint.get(\"heatmap-opacity\")}},ta=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_latrange:new i.Uniform2f(Y,D.u_latrange),u_light:new i.Uniform2f(Y,D.u_light),u_shadow:new i.UniformColor(Y,D.u_shadow),u_highlight:new i.UniformColor(Y,D.u_highlight),u_accent:new i.UniformColor(Y,D.u_accent)}},Ca=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_dimension:new i.Uniform2f(Y,D.u_dimension),u_zoom:new i.Uniform1f(Y,D.u_zoom),u_unpack:new i.Uniform4f(Y,D.u_unpack)}},Ra=function(Y,D,J){var O=J.paint.get(\"hillshade-shadow-color\"),K=J.paint.get(\"hillshade-highlight-color\"),de=J.paint.get(\"hillshade-accent-color\"),ne=J.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);J.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(ne-=Y.transform.angle);var we=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(D.tileID.toUnwrapped(),we),u_image:0,u_latrange:Ua(Y,D.tileID),u_light:[J.paint.get(\"hillshade-exaggeration\"),ne],u_shadow:O,u_highlight:K,u_accent:de}},La=function(Y,D){var J=D.stride,O=i.create();return i.ortho(O,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(O,O,[0,-i.EXTENT,0]),{u_matrix:O,u_image:1,u_dimension:[J,J],u_zoom:Y.overscaledZ,u_unpack:D.getUnpackVector()}};function Ua(Y,D){var J=Math.pow(2,D.canonical.z),O=D.canonical.y;return[new i.MercatorCoordinate(0,O/J).toLngLat().lat,new i.MercatorCoordinate(0,(O+1)/J).toLngLat().lat]}var Zn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels)}},Dn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_image:new i.Uniform1i(Y,D.u_image),u_image_height:new i.Uniform1f(Y,D.u_image_height)}},Ka=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,D.u_image),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},bo=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_patternscale_a:new i.Uniform2f(Y,D.u_patternscale_a),u_patternscale_b:new i.Uniform2f(Y,D.u_patternscale_b),u_sdfgamma:new i.Uniform1f(Y,D.u_sdfgamma),u_image:new i.Uniform1i(Y,D.u_image),u_tex_y_a:new i.Uniform1f(Y,D.u_tex_y_a),u_tex_y_b:new i.Uniform1f(Y,D.u_tex_y_b),u_mix:new i.Uniform1f(Y,D.u_mix)}},Zo=function(Y,D,J){var O=Y.transform;return{u_matrix:ml(Y,D,J),u_ratio:1/As(D,1,O.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_units_to_pixels:[1/O.pixelsToGLUnits[0],1/O.pixelsToGLUnits[1]]}},Ss=function(Y,D,J,O){return i.extend(Zo(Y,D,J),{u_image:0,u_image_height:O})},as=function(Y,D,J,O){var K=Y.transform,de=Ho(D,K);return{u_matrix:ml(Y,D,J),u_texsize:D.imageAtlasTexture.size,u_ratio:1/As(D,1,K.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[de,O.fromScale,O.toScale],u_fade:O.t,u_units_to_pixels:[1/K.pixelsToGLUnits[0],1/K.pixelsToGLUnits[1]]}},ws=function(Y,D,J,O,K){var de=Y.transform,ne=Y.lineAtlas,we=Ho(D,de),Oe=J.layout.get(\"line-cap\")===\"round\",ht=ne.getDash(O.from,Oe),Yt=ne.getDash(O.to,Oe),cr=ht.width*K.fromScale,Nt=Yt.width*K.toScale;return i.extend(Zo(Y,D,J),{u_patternscale_a:[we/cr,-ht.height/2],u_patternscale_b:[we/Nt,-Yt.height/2],u_sdfgamma:ne.width/(Math.min(cr,Nt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:ht.y,u_tex_y_b:Yt.y,u_mix:K.t})};function Ho(Y,D){return 1/As(Y,1,D.tileZoom)}function ml(Y,D,J){return Y.translatePosMatrix(D.tileID.posMatrix,D,J.paint.get(\"line-translate\"),J.paint.get(\"line-translate-anchor\"))}var Ws=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_tl_parent:new i.Uniform2f(Y,D.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,D.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,D.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,D.u_fade_t),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image0:new i.Uniform1i(Y,D.u_image0),u_image1:new i.Uniform1i(Y,D.u_image1),u_brightness_low:new i.Uniform1f(Y,D.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,D.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,D.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,D.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,D.u_spin_weights)}},Ls=function(Y,D,J,O,K){return{u_matrix:Y,u_tl_parent:D,u_scale_parent:J,u_buffer_scale:1,u_fade_t:O.mix,u_opacity:O.opacity*K.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:K.paint.get(\"raster-brightness-min\"),u_brightness_high:K.paint.get(\"raster-brightness-max\"),u_saturation_factor:ys(K.paint.get(\"raster-saturation\")),u_contrast_factor:no(K.paint.get(\"raster-contrast\")),u_spin_weights:va(K.paint.get(\"raster-hue-rotate\"))}};function va(Y){Y*=Math.PI/180;var D=Math.sin(Y),J=Math.cos(Y);return[(2*J+1)/3,(-Math.sqrt(3)*D-J+1)/3,(Math.sqrt(3)*D-J+1)/3]}function no(Y){return Y>0?1/(1-Y):1+Y}function ys(Y){return Y>0?1-1/(1.001-Y):-Y}var rs=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture)}},Ql=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Cu=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texsize_icon:new i.Uniform2f(Y,D.u_texsize_icon),u_texture:new i.Uniform1i(Y,D.u_texture),u_texture_icon:new i.Uniform1i(Y,D.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Yu=function(Y,D,J,O,K,de,ne,we,Oe,ht){var Yt=K.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:D?D.uSizeT:0,u_size:D?D.uSize:0,u_camera_to_center_distance:Yt.cameraToCenterDistance,u_pitch:Yt.pitch/360*2*Math.PI,u_rotate_symbol:+J,u_aspect_ratio:Yt.width/Yt.height,u_fade_change:K.options.fadeDuration?K.symbolFadeChange:1,u_matrix:de,u_label_plane_matrix:ne,u_coord_matrix:we,u_is_text:+Oe,u_pitch_with_map:+O,u_texsize:ht,u_texture:0}},Nc=function(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=K.transform;return i.extend(Yu(Y,D,J,O,K,de,ne,we,Oe,ht),{u_gamma_scale:O?Math.cos(cr._pitch)*cr.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Yt})},pu=function(Y,D,J,O,K,de,ne,we,Oe,ht){return i.extend(Nc(Y,D,J,O,K,de,ne,we,!0,Oe,!0),{u_texsize_icon:ht,u_texture_icon:1})},Uc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_color:new i.UniformColor(Y,D.u_color)}},xu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image:new i.Uniform1i(Y,D.u_image),u_pattern_tl_a:new i.Uniform2f(Y,D.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,D.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,D.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,D.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_mix:new i.Uniform1f(Y,D.u_mix),u_pattern_size_a:new i.Uniform2f(Y,D.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,D.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,D.u_scale_a),u_scale_b:new i.Uniform1f(Y,D.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,D.u_tile_units_to_pixels)}},Ac=function(Y,D,J){return{u_matrix:Y,u_opacity:D,u_color:J}},Va=function(Y,D,J,O,K,de){return i.extend(cf(O,de,J,K),{u_matrix:Y,u_opacity:D})},oo={fillExtrusion:Zf,fillExtrusionPattern:Wl,fill:qc,fillPattern:Tc,fillOutline:Tl,fillOutlinePattern:vu,circle:kt,collisionBox:Er,collisionCircle:xr,debug:Xi,clippingMask:wn,heatmap:Yi,heatmapTexture:$i,hillshade:ta,hillshadePrepare:Ca,line:Zn,lineGradient:Dn,linePattern:Ka,lineSDF:bo,raster:Ws,symbolIcon:rs,symbolSDF:Ql,symbolTextAndIcon:Cu,background:Uc,backgroundPattern:xu},Vc;function hc(Y,D,J,O,K,de,ne){for(var we=Y.context,Oe=we.gl,ht=Y.useProgram(\"collisionBox\"),Yt=[],cr=0,Nt=0,Ne=0;Ne<O.length;Ne++){var $e=O[Ne],st=D.getTile($e),It=st.getBucket(J);if(It){var Bt=$e.posMatrix;(K[0]!==0||K[1]!==0)&&(Bt=Y.translatePosMatrix($e.posMatrix,st,K,de));var Ft=ne?It.textCollisionBox:It.iconCollisionBox,Ut=It.collisionCircleArray;if(Ut.length>0){var zt=i.create(),_t=Bt;i.mul(zt,It.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(zt,zt,It.placementViewportMatrix),Yt.push({circleArray:Ut,circleOffset:Nt,transform:_t,invTransform:zt}),cr+=Ut.length/4,Nt=cr}Ft&&ht.draw(we,Oe.LINES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,Kr(Bt,Y.transform,st),J.id,Ft.layoutVertexBuffer,Ft.indexBuffer,Ft.segments,null,Y.transform.zoom,null,null,Ft.collisionVertexBuffer)}}if(!(!ne||!Yt.length)){var Dt=Y.useProgram(\"collisionCircle\"),vt=new i.StructArrayLayout2f1f2i16;vt.resize(cr*4),vt._trim();for(var lr=0,_r=0,Br=Yt;_r<Br.length;_r+=1)for(var Di=Br[_r],ci=0;ci<Di.circleArray.length/4;ci++){var bi=ci*4,gn=Di.circleArray[bi+0],tn=Di.circleArray[bi+1],Ei=Di.circleArray[bi+2],Oi=Di.circleArray[bi+3];vt.emplace(lr++,gn,tn,Ei,Oi,0),vt.emplace(lr++,gn,tn,Ei,Oi,1),vt.emplace(lr++,gn,tn,Ei,Oi,2),vt.emplace(lr++,gn,tn,Ei,Oi,3)}(!Vc||Vc.length<cr*2)&&(Vc=Ku(cr));for(var Gi=we.createIndexBuffer(Vc,!0),on=we.createVertexBuffer(vt,i.collisionCircleLayout.members,!0),zn=0,Ja=Yt;zn<Ja.length;zn+=1){var co=Ja[zn],ts=Mi(co.transform,co.invTransform,Y.transform);Dt.draw(we,Oe.TRIANGLES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,ts,J.id,on,Gi,i.SegmentVector.simpleSegment(0,co.circleOffset*2,co.circleArray.length,co.circleArray.length/2),null,Y.transform.zoom,null,null,null)}on.destroy(),Gi.destroy()}}function Ku(Y){var D=Y*2,J=new i.StructArrayLayout3ui6;J.resize(D),J._trim();for(var O=0;O<D;O++){var K=O*6;J.uint16[K+0]=O*4+0,J.uint16[K+1]=O*4+1,J.uint16[K+2]=O*4+2,J.uint16[K+3]=O*4+2,J.uint16[K+4]=O*4+3,J.uint16[K+5]=O*4+0}return J}var ue=i.identity(new Float32Array(16));function w(Y,D,J,O,K){if(Y.renderPass===\"translucent\"){var de=Vi.disabled,ne=Y.colorModeForRenderPass(),we=J.layout.get(\"text-variable-anchor\");we&&Q(O,Y,J,D,J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),K),J.paint.get(\"icon-opacity\").constantOr(1)!==0&&Fe(Y,D,J,O,!1,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),J.layout.get(\"icon-rotation-alignment\"),J.layout.get(\"icon-pitch-alignment\"),J.layout.get(\"icon-keep-upright\"),de,ne),J.paint.get(\"text-opacity\").constantOr(1)!==0&&Fe(Y,D,J,O,!0,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),J.layout.get(\"text-keep-upright\"),de,ne),D.map.showCollisionBoxes&&(hc(Y,D,J,O,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),!0),hc(Y,D,J,O,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,D,J,O,K,de){var ne=i.getAnchorAlignment(Y),we=ne.horizontalAlign,Oe=ne.verticalAlign,ht=-(we-.5)*D,Yt=-(Oe-.5)*J,cr=i.evaluateVariableOffset(Y,O);return new i.Point((ht/K+cr[0])*de,(Yt/K+cr[1])*de)}function Q(Y,D,J,O,K,de,ne){for(var we=D.transform,Oe=K===\"map\",ht=de===\"map\",Yt=0,cr=Y;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=O.getTile(Nt),$e=Ne.getBucket(J);if(!(!$e||!$e.text||!$e.text.segments.get().length)){var st=$e.textSizeData,It=i.evaluateSizeForZoom(st,we.zoom),Bt=As(Ne,1,D.transform.zoom),Ft=_n(Nt.posMatrix,ht,Oe,D.transform,Bt),Ut=J.layout.get(\"icon-text-fit\")!==\"none\"&&$e.hasIconData();if(It){var zt=Math.pow(2,we.zoom-Ne.tileID.overscaledZ);ee($e,Oe,ht,ne,i.symbolSize,we,Ft,Nt.posMatrix,zt,It,Ut)}}}}function ee(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=Y.text.placedSymbolArray,Nt=Y.text.dynamicLayoutVertexArray,Ne=Y.icon.dynamicLayoutVertexArray,$e={};Nt.clear();for(var st=0;st<cr.length;st++){var It=cr.get(st),Bt=Y.allowVerticalPlacement&&!It.placedOrientation,Ft=!It.hidden&&It.crossTileID&&!Bt?O[It.crossTileID]:null;if(!Ft)ul(It.numGlyphs,Nt);else{var Ut=new i.Point(It.anchorX,It.anchorY),zt=ea(Ut,J?we:ne),_t=Ma(de.cameraToCenterDistance,zt.signedDistanceFromCamera),Dt=K.evaluateSizeForFeature(Y.textSizeData,ht,It)*_t/i.ONE_EM;J&&(Dt*=Y.tilePixelRatio/Oe);for(var vt=Ft.width,lr=Ft.height,_r=Ft.anchor,Br=Ft.textOffset,Di=Ft.textBoxScale,ci=B(_r,vt,lr,Br,Di,Dt),bi=J?ea(Ut.add(ci),ne).point:zt.point.add(D?ci.rotate(-de.angle):ci),gn=Y.allowVerticalPlacement&&It.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,tn=0;tn<It.numGlyphs;tn++)i.addDynamicAttributes(Nt,bi,gn);Yt&&It.associatedIconIndex>=0&&($e[It.associatedIconIndex]={shiftedAnchor:bi,angle:gn})}}if(Yt){Ne.clear();for(var Ei=Y.icon.placedSymbolArray,Oi=0;Oi<Ei.length;Oi++){var Gi=Ei.get(Oi);if(Gi.hidden)ul(Gi.numGlyphs,Ne);else{var on=$e[Oi];if(!on)ul(Gi.numGlyphs,Ne);else for(var zn=0;zn<Gi.numGlyphs;zn++)i.addDynamicAttributes(Ne,on.shiftedAnchor,on.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(Ne)}Y.text.dynamicLayoutVertexBuffer.updateData(Nt)}function le(Y,D,J){return J.iconsInText&&D?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function Fe(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr){for(var Nt=Y.context,Ne=Nt.gl,$e=Y.transform,st=we===\"map\",It=Oe===\"map\",Bt=st&&J.layout.get(\"symbol-placement\")!==\"point\",Ft=st&&!It&&!Bt,Ut=J.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,zt=!1,_t=Y.depthModeForSublayer(0,An.ReadOnly),Dt=J.layout.get(\"text-variable-anchor\"),vt=[],lr=0,_r=O;lr<_r.length;lr+=1){var Br=_r[lr],Di=D.getTile(Br),ci=Di.getBucket(J);if(ci){var bi=K?ci.text:ci.icon;if(!(!bi||!bi.segments.get().length)){var gn=bi.programConfigurations.get(J.id),tn=K||ci.sdfIcons,Ei=K?ci.textSizeData:ci.iconSizeData,Oi=It||$e.pitch!==0,Gi=Y.useProgram(le(tn,K,ci),gn),on=i.evaluateSizeForZoom(Ei,$e.zoom),zn=void 0,Ja=[0,0],co=void 0,ts=void 0,so=null,Yo=void 0;if(K){if(co=Di.glyphAtlasTexture,ts=Ne.LINEAR,zn=Di.glyphAtlasTexture.size,ci.iconsInText){Ja=Di.imageAtlasTexture.size,so=Di.imageAtlasTexture;var ms=Ei.kind===\"composite\"||Ei.kind===\"camera\";Yo=Oi||Y.options.rotating||Y.options.zooming||ms?Ne.LINEAR:Ne.NEAREST}}else{var ou=J.layout.get(\"icon-size\").constantOr(0)!==1||ci.iconsNeedLinear;co=Di.imageAtlasTexture,ts=tn||Y.options.rotating||Y.options.zooming||ou||Oi?Ne.LINEAR:Ne.NEAREST,zn=Di.imageAtlasTexture.size}var Cv=As(Di,1,Y.transform.zoom),Lv=_n(Br.posMatrix,It,st,Y.transform,Cv),wd=ya(Br.posMatrix,It,st,Y.transform,Cv),Kv=Dt&&ci.hasTextData(),hg=J.layout.get(\"icon-text-fit\")!==\"none\"&&Kv&&ci.hasIconData();Bt&&No(ci,Br.posMatrix,Y,K,Lv,wd,It,ht);var gp=Y.translatePosMatrix(Br.posMatrix,Di,de,ne),Td=Bt||K&&Dt||hg?ue:Lv,mp=Y.translatePosMatrix(wd,Di,de,ne,!0),Vd=tn&&J.paint.get(K?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ad=void 0;tn?ci.iconsInText?Ad=pu(Ei.kind,on,Ft,It,Y,gp,Td,mp,zn,Ja):Ad=Nc(Ei.kind,on,Ft,It,Y,gp,Td,mp,K,zn,!0):Ad=Yu(Ei.kind,on,Ft,It,Y,gp,Td,mp,K,zn);var Pv={program:Gi,buffers:bi,uniformValues:Ad,atlasTexture:co,atlasTextureIcon:so,atlasInterpolation:ts,atlasInterpolationIcon:Yo,isSDF:tn,hasHalo:Vd};if(Ut&&ci.canOverlap){zt=!0;for(var Jv=bi.segments.get(),Iv=0,dy=Jv;Iv<dy.length;Iv+=1){var dg=dy[Iv];vt.push({segments:new i.SegmentVector([dg]),sortKey:dg.sortKey,state:Pv})}}else vt.push({segments:bi.segments,sortKey:0,state:Pv})}}}zt&&vt.sort(function(C1,L1){return C1.sortKey-L1.sortKey});for(var oh=0,vg=vt;oh<vg.length;oh+=1){var vy=vg[oh],Zh=vy.state;if(Nt.activeTexture.set(Ne.TEXTURE0),Zh.atlasTexture.bind(Zh.atlasInterpolation,Ne.CLAMP_TO_EDGE),Zh.atlasTextureIcon&&(Nt.activeTexture.set(Ne.TEXTURE1),Zh.atlasTextureIcon&&Zh.atlasTextureIcon.bind(Zh.atlasInterpolationIcon,Ne.CLAMP_TO_EDGE)),Zh.isSDF){var am=Zh.uniformValues;Zh.hasHalo&&(am.u_is_halo=1,Ze(Zh.buffers,vy.segments,J,Y,Zh.program,_t,Yt,cr,am)),am.u_is_halo=0}Ze(Zh.buffers,vy.segments,J,Y,Zh.program,_t,Yt,cr,Zh.uniformValues)}}function Ze(Y,D,J,O,K,de,ne,we,Oe){var ht=O.context,Yt=ht.gl;K.draw(ht,Yt.TRIANGLES,de,ne,we,wr.disabled,Oe,J.id,Y.layoutVertexBuffer,Y.indexBuffer,D,J.paint,O.transform.zoom,Y.programConfigurations.get(J.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function ut(Y,D,J,O){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"circle-opacity\"),de=J.paint.get(\"circle-stroke-width\"),ne=J.paint.get(\"circle-stroke-opacity\"),we=J.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!(K.constantOr(1)===0&&(de.constantOr(1)===0||ne.constantOr(1)===0))){for(var Oe=Y.context,ht=Oe.gl,Yt=Y.depthModeForSublayer(0,An.ReadOnly),cr=Vi.disabled,Nt=Y.colorModeForRenderPass(),Ne=[],$e=0;$e<O.length;$e++){var st=O[$e],It=D.getTile(st),Bt=It.getBucket(J);if(Bt){var Ft=Bt.programConfigurations.get(J.id),Ut=Y.useProgram(\"circle\",Ft),zt=Bt.layoutVertexBuffer,_t=Bt.indexBuffer,Dt=Zt(Y,st,It,J),vt={programConfiguration:Ft,program:Ut,layoutVertexBuffer:zt,indexBuffer:_t,uniformValues:Dt};if(we)for(var lr=Bt.segments.get(),_r=0,Br=lr;_r<Br.length;_r+=1){var Di=Br[_r];Ne.push({segments:new i.SegmentVector([Di]),sortKey:Di.sortKey,state:vt})}else Ne.push({segments:Bt.segments,sortKey:0,state:vt})}}we&&Ne.sort(function(co,ts){return co.sortKey-ts.sortKey});for(var ci=0,bi=Ne;ci<bi.length;ci+=1){var gn=bi[ci],tn=gn.state,Ei=tn.programConfiguration,Oi=tn.program,Gi=tn.layoutVertexBuffer,on=tn.indexBuffer,zn=tn.uniformValues,Ja=gn.segments;Oi.draw(Oe,ht.TRIANGLES,Yt,cr,Nt,wr.disabled,zn,J.id,Gi,on,Ja,J.paint,Y.transform.zoom,Ei)}}}}function Mt(Y,D,J,O){if(J.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var K=Y.context,de=K.gl,ne=Vi.disabled,we=new wt([de.ONE,de.ONE],i.Color.transparent,[!0,!0,!0,!0]);Jt(K,Y,J),K.clear({color:i.Color.transparent});for(var Oe=0;Oe<O.length;Oe++){var ht=O[Oe];if(!D.hasRenderableParent(ht)){var Yt=D.getTile(ht),cr=Yt.getBucket(J);if(cr){var Nt=cr.programConfigurations.get(J.id),Ne=Y.useProgram(\"heatmap\",Nt),$e=Y.transform,st=$e.zoom;Ne.draw(K,de.TRIANGLES,An.disabled,ne,we,wr.disabled,an(ht.posMatrix,Yt,st,J.paint.get(\"heatmap-intensity\")),J.id,cr.layoutVertexBuffer,cr.indexBuffer,cr.segments,J.paint,Y.transform.zoom,Nt)}}}K.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),yr(Y,J))}function Jt(Y,D,J){var O=Y.gl;Y.activeTexture.set(O.TEXTURE1),Y.viewport.set([0,0,D.width/4,D.height/4]);var K=J.heatmapFbo;if(K)O.bindTexture(O.TEXTURE_2D,K.colorAttachment.get()),Y.bindFramebuffer.set(K.framebuffer);else{var de=O.createTexture();O.bindTexture(O.TEXTURE_2D,de),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_S,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_T,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MIN_FILTER,O.LINEAR),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MAG_FILTER,O.LINEAR),K=J.heatmapFbo=Y.createFramebuffer(D.width/4,D.height/4,!1),$t(Y,D,de,K)}}function $t(Y,D,J,O){var K=Y.gl,de=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:K.UNSIGNED_BYTE;K.texImage2D(K.TEXTURE_2D,0,K.RGBA,D.width/4,D.height/4,0,K.RGBA,de,null),O.colorAttachment.set(J)}function yr(Y,D){var J=Y.context,O=J.gl,K=D.heatmapFbo;if(K){J.activeTexture.set(O.TEXTURE0),O.bindTexture(O.TEXTURE_2D,K.colorAttachment.get()),J.activeTexture.set(O.TEXTURE1);var de=D.colorRampTexture;de||(de=D.colorRampTexture=new i.Texture(J,D.colorRamp,O.RGBA)),de.bind(O.LINEAR,O.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(J,O.TRIANGLES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,Fi(Y,D,0,1),D.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,D.paint,Y.transform.zoom)}}function Cr(Y,D,J,O){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"line-opacity\"),de=J.paint.get(\"line-width\");if(!(K.constantOr(1)===0||de.constantOr(1)===0))for(var ne=Y.depthModeForSublayer(0,An.ReadOnly),we=Y.colorModeForRenderPass(),Oe=J.paint.get(\"line-dasharray\"),ht=J.paint.get(\"line-pattern\"),Yt=ht.constantOr(1),cr=J.paint.get(\"line-gradient\"),Nt=J.getCrossfadeParameters(),Ne=Yt?\"linePattern\":Oe?\"lineSDF\":cr?\"lineGradient\":\"line\",$e=Y.context,st=$e.gl,It=!0,Bt=0,Ft=O;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=D.getTile(Ut);if(!(Yt&&!zt.patternsLoaded())){var _t=zt.getBucket(J);if(_t){var Dt=_t.programConfigurations.get(J.id),vt=Y.context.program.get(),lr=Y.useProgram(Ne,Dt),_r=It||lr.program!==vt,Br=ht.constantOr(null);if(Br&&zt.imageAtlas){var Di=zt.imageAtlas,ci=Di.patternPositions[Br.to.toString()],bi=Di.patternPositions[Br.from.toString()];ci&&bi&&Dt.setConstantPatternPositions(ci,bi)}var gn=Yt?as(Y,zt,J,Nt):Oe?ws(Y,zt,J,Oe,Nt):cr?Ss(Y,zt,J,_t.lineClipsArray.length):Zo(Y,zt,J);if(Yt)$e.activeTexture.set(st.TEXTURE0),zt.imageAtlasTexture.bind(st.LINEAR,st.CLAMP_TO_EDGE),Dt.updatePaintBuffers(Nt);else if(Oe&&(_r||Y.lineAtlas.dirty))$e.activeTexture.set(st.TEXTURE0),Y.lineAtlas.bind($e);else if(cr){var tn=_t.gradients[J.id],Ei=tn.texture;if(J.gradientVersion!==tn.version){var Oi=256;if(J.stepInterpolant){var Gi=D.getSource().maxzoom,on=Ut.canonical.z===Gi?Math.ceil(1<<Y.transform.maxZoom-Ut.canonical.z):1,zn=_t.maxLineLength/i.EXTENT,Ja=1024,co=zn*Ja*on;Oi=i.clamp(i.nextPowerOfTwo(co),256,$e.maxTextureSize)}tn.gradient=i.renderColorRamp({expression:J.gradientExpression(),evaluationKey:\"lineProgress\",resolution:Oi,image:tn.gradient||void 0,clips:_t.lineClipsArray}),tn.texture?tn.texture.update(tn.gradient):tn.texture=new i.Texture($e,tn.gradient,st.RGBA),tn.version=J.gradientVersion,Ei=tn.texture}$e.activeTexture.set(st.TEXTURE0),Ei.bind(J.stepInterpolant?st.NEAREST:st.LINEAR,st.CLAMP_TO_EDGE)}lr.draw($e,st.TRIANGLES,ne,Y.stencilModeForClipping(Ut),we,wr.disabled,gn,J.id,_t.layoutVertexBuffer,_t.indexBuffer,_t.segments,J.paint,Y.transform.zoom,Dt,_t.layoutVertexBuffer2),It=!1}}}}}function ve(Y,D,J,O){var K=J.paint.get(\"fill-color\"),de=J.paint.get(\"fill-opacity\");if(de.constantOr(1)!==0){var ne=Y.colorModeForRenderPass(),we=J.paint.get(\"fill-pattern\"),Oe=Y.opaquePassEnabledForLayer()&&!we.constantOr(1)&&K.constantOr(i.Color.transparent).a===1&&de.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===Oe){var ht=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?An.ReadWrite:An.ReadOnly);xe(Y,D,J,O,ht,ne,!1)}if(Y.renderPass===\"translucent\"&&J.paint.get(\"fill-antialias\")){var Yt=Y.depthModeForSublayer(J.getPaintProperty(\"fill-outline-color\")?2:0,An.ReadOnly);xe(Y,D,J,O,Yt,ne,!0)}}}function xe(Y,D,J,O,K,de,ne){var we=Y.context.gl,Oe=J.paint.get(\"fill-pattern\"),ht=Oe&&Oe.constantOr(1),Yt=J.getCrossfadeParameters(),cr,Nt,Ne,$e,st;ne?(Nt=ht&&!J.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",cr=we.LINES):(Nt=ht?\"fillPattern\":\"fill\",cr=we.TRIANGLES);for(var It=0,Bt=O;It<Bt.length;It+=1){var Ft=Bt[It],Ut=D.getTile(Ft);if(!(ht&&!Ut.patternsLoaded())){var zt=Ut.getBucket(J);if(zt){var _t=zt.programConfigurations.get(J.id),Dt=Y.useProgram(Nt,_t);ht&&(Y.context.activeTexture.set(we.TEXTURE0),Ut.imageAtlasTexture.bind(we.LINEAR,we.CLAMP_TO_EDGE),_t.updatePaintBuffers(Yt));var vt=Oe.constantOr(null);if(vt&&Ut.imageAtlas){var lr=Ut.imageAtlas,_r=lr.patternPositions[vt.to.toString()],Br=lr.patternPositions[vt.from.toString()];_r&&Br&&_t.setConstantPatternPositions(_r,Br)}var Di=Y.translatePosMatrix(Ft.posMatrix,Ut,J.paint.get(\"fill-translate\"),J.paint.get(\"fill-translate-anchor\"));if(!ne)$e=zt.indexBuffer,st=zt.segments,Ne=ht?ff(Di,Y,Yt,Ut):Oc(Di);else{$e=zt.indexBuffer2,st=zt.segments2;var ci=[we.drawingBufferWidth,we.drawingBufferHeight];Ne=Nt===\"fillOutlinePattern\"&&ht?Bc(Di,Y,Yt,Ut,ci):fc(Di,ci)}Dt.draw(Y.context,cr,K,Y.stencilModeForClipping(Ft),de,wr.disabled,Ne,J.id,zt.layoutVertexBuffer,$e,st,J.paint,Y.transform.zoom,_t)}}}}function Ie(Y,D,J,O){var K=J.paint.get(\"fill-extrusion-opacity\");if(K!==0&&Y.renderPass===\"translucent\"){var de=new An(Y.context.gl.LEQUAL,An.ReadWrite,Y.depthRangeFor3D);if(K===1&&!J.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var ne=Y.colorModeForRenderPass();ze(Y,D,J,O,de,Vi.disabled,ne)}else ze(Y,D,J,O,de,Vi.disabled,wt.disabled),ze(Y,D,J,O,de,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function ze(Y,D,J,O,K,de,ne){for(var we=Y.context,Oe=we.gl,ht=J.paint.get(\"fill-extrusion-pattern\"),Yt=ht.constantOr(1),cr=J.getCrossfadeParameters(),Nt=J.paint.get(\"fill-extrusion-opacity\"),Ne=0,$e=O;Ne<$e.length;Ne+=1){var st=$e[Ne],It=D.getTile(st),Bt=It.getBucket(J);if(Bt){var Ft=Bt.programConfigurations.get(J.id),Ut=Y.useProgram(Yt?\"fillExtrusionPattern\":\"fillExtrusion\",Ft);Yt&&(Y.context.activeTexture.set(Oe.TEXTURE0),It.imageAtlasTexture.bind(Oe.LINEAR,Oe.CLAMP_TO_EDGE),Ft.updatePaintBuffers(cr));var zt=ht.constantOr(null);if(zt&&It.imageAtlas){var _t=It.imageAtlas,Dt=_t.patternPositions[zt.to.toString()],vt=_t.patternPositions[zt.from.toString()];Dt&&vt&&Ft.setConstantPatternPositions(Dt,vt)}var lr=Y.translatePosMatrix(st.posMatrix,It,J.paint.get(\"fill-extrusion-translate\"),J.paint.get(\"fill-extrusion-translate-anchor\")),_r=J.paint.get(\"fill-extrusion-vertical-gradient\"),Br=Yt?Zu(lr,Y,_r,Nt,st,cr,It):ah(lr,Y,_r,Nt);Ut.draw(we,we.gl.TRIANGLES,K,de,ne,wr.backCCW,Br,J.id,Bt.layoutVertexBuffer,Bt.indexBuffer,Bt.segments,J.paint,Y.transform.zoom,Ft)}}}function Qe(Y,D,J,O){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var K=Y.context,de=Y.depthModeForSublayer(0,An.ReadOnly),ne=Y.colorModeForRenderPass(),we=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(O):[{},O],Oe=we[0],ht=we[1],Yt=0,cr=ht;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=D.getTile(Nt);Ne.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?nt(Y,Ne,J,de,Vi.disabled,ne):Y.renderPass===\"translucent\"&&Xe(Y,Ne,J,de,Oe[Nt.overscaledZ],ne)}K.viewport.set([0,0,Y.width,Y.height])}}function Xe(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl,Oe=D.fbo;if(Oe){var ht=Y.useProgram(\"hillshade\");ne.activeTexture.set(we.TEXTURE0),we.bindTexture(we.TEXTURE_2D,Oe.colorAttachment.get());var Yt=Ra(Y,D,J);ht.draw(ne,we.TRIANGLES,O,K,de,wr.disabled,Yt,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function nt(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl,Oe=D.dem;if(Oe&&Oe.data){var ht=Oe.dim,Yt=Oe.stride,cr=Oe.getPixels();if(ne.activeTexture.set(we.TEXTURE1),ne.pixelStoreUnpackPremultiplyAlpha.set(!1),D.demTexture=D.demTexture||Y.getTileTexture(Yt),D.demTexture){var Nt=D.demTexture;Nt.update(cr,{premultiply:!1}),Nt.bind(we.NEAREST,we.CLAMP_TO_EDGE)}else D.demTexture=new i.Texture(ne,cr,we.RGBA,{premultiply:!1}),D.demTexture.bind(we.NEAREST,we.CLAMP_TO_EDGE);ne.activeTexture.set(we.TEXTURE0);var Ne=D.fbo;if(!Ne){var $e=new i.Texture(ne,{width:ht,height:ht,data:null},we.RGBA);$e.bind(we.LINEAR,we.CLAMP_TO_EDGE),Ne=D.fbo=ne.createFramebuffer(ht,ht,!0),Ne.colorAttachment.set($e.texture)}ne.bindFramebuffer.set(Ne.framebuffer),ne.viewport.set([0,0,ht,ht]),Y.useProgram(\"hillshadePrepare\").draw(ne,we.TRIANGLES,O,K,de,wr.disabled,La(D.tileID,Oe),J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),D.needsHillshadePrepare=!1}}function qt(Y,D,J,O){if(Y.renderPass===\"translucent\"&&J.paint.get(\"raster-opacity\")!==0&&O.length)for(var K=Y.context,de=K.gl,ne=D.getSource(),we=Y.useProgram(\"raster\"),Oe=Y.colorModeForRenderPass(),ht=ne instanceof Ce?[{},O]:Y.stencilConfigForOverlap(O),Yt=ht[0],cr=ht[1],Nt=cr[cr.length-1].overscaledZ,Ne=!Y.options.moving,$e=0,st=cr;$e<st.length;$e+=1){var It=st[$e],Bt=Y.depthModeForSublayer(It.overscaledZ-Nt,J.paint.get(\"raster-opacity\")===1?An.ReadWrite:An.ReadOnly,de.LESS),Ft=D.getTile(It),Ut=Y.transform.calculatePosMatrix(It.toUnwrapped(),Ne);Ft.registerFadeDuration(J.paint.get(\"raster-fade-duration\"));var zt=D.findLoadedParent(It,0),_t=Wt(Ft,zt,D,J,Y.transform),Dt=void 0,vt=void 0,lr=J.paint.get(\"raster-resampling\")===\"nearest\"?de.NEAREST:de.LINEAR;K.activeTexture.set(de.TEXTURE0),Ft.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),K.activeTexture.set(de.TEXTURE1),zt?(zt.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),Dt=Math.pow(2,zt.tileID.overscaledZ-Ft.tileID.overscaledZ),vt=[Ft.tileID.canonical.x*Dt%1,Ft.tileID.canonical.y*Dt%1]):Ft.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST);var _r=Ls(Ut,vt||[0,0],Dt||1,_t,J);ne instanceof Ce?we.draw(K,de.TRIANGLES,Bt,Vi.disabled,Oe,wr.disabled,_r,J.id,ne.boundsBuffer,Y.quadTriangleIndexBuffer,ne.boundsSegments):we.draw(K,de.TRIANGLES,Bt,Yt[It.overscaledZ],Oe,wr.disabled,_r,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Wt(Y,D,J,O,K){var de=O.paint.get(\"raster-fade-duration\");if(de>0){var ne=i.browser.now(),we=(ne-Y.timeAdded)/de,Oe=D?(ne-D.timeAdded)/de:-1,ht=J.getSource(),Yt=K.coveringZoomLevel({tileSize:ht.tileSize,roundZoom:ht.roundZoom}),cr=!D||Math.abs(D.tileID.overscaledZ-Yt)>Math.abs(Y.tileID.overscaledZ-Yt),Nt=cr&&Y.refreshedUponExpiration?1:i.clamp(cr?we:1-Oe,0,1);return Y.refreshedUponExpiration&&we>=1&&(Y.refreshedUponExpiration=!1),D?{opacity:1,mix:1-Nt}:{opacity:Nt,mix:0}}else return{opacity:1,mix:0}}function nr(Y,D,J){var O=J.paint.get(\"background-color\"),K=J.paint.get(\"background-opacity\");if(K!==0){var de=Y.context,ne=de.gl,we=Y.transform,Oe=we.tileSize,ht=J.paint.get(\"background-pattern\");if(!Y.isPatternMissing(ht)){var Yt=!ht&&O.a===1&&K===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Yt){var cr=Vi.disabled,Nt=Y.depthModeForSublayer(0,Yt===\"opaque\"?An.ReadWrite:An.ReadOnly),Ne=Y.colorModeForRenderPass(),$e=Y.useProgram(ht?\"backgroundPattern\":\"background\"),st=we.coveringTiles({tileSize:Oe});ht&&(de.activeTexture.set(ne.TEXTURE0),Y.imageManager.bind(Y.context));for(var It=J.getCrossfadeParameters(),Bt=0,Ft=st;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=Y.transform.calculatePosMatrix(Ut.toUnwrapped()),_t=ht?Va(zt,K,Y,ht,{tileID:Ut,tileSize:Oe},It):Ac(zt,K,O);$e.draw(de,ne.TRIANGLES,Nt,cr,Ne,wr.disabled,_t,J.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var fr=new i.Color(1,0,0,1),br=new i.Color(0,1,0,1),Fr=new i.Color(0,0,1,1),Hr=new i.Color(1,0,1,1),ri=new i.Color(0,1,1,1);function Ci(Y){var D=Y.transform.padding,J=3;sn(Y,Y.transform.height-(D.top||0),J,fr),sn(Y,D.bottom||0,J,br),Ln(Y,D.left||0,J,Fr),Ln(Y,Y.transform.width-(D.right||0),J,Hr);var O=Y.transform.centerPoint;cn(Y,O.x,Y.transform.height-O.y,ri)}function cn(Y,D,J,O){var K=20,de=2;Kn(Y,D-de/2,J-K/2,de,K,O),Kn(Y,D-K/2,J-de/2,K,de,O)}function sn(Y,D,J,O){Kn(Y,0,D+J/2,Y.transform.width,J,O)}function Ln(Y,D,J,O){Kn(Y,D-J/2,0,J,Y.transform.height,O)}function Kn(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl;we.enable(we.SCISSOR_TEST),we.scissor(D*i.browser.devicePixelRatio,J*i.browser.devicePixelRatio,O*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio),ne.clear({color:de}),we.disable(we.SCISSOR_TEST)}function Aa(Y,D,J){for(var O=0;O<J.length;O++)fa(Y,D,J[O])}function fa(Y,D,J){var O=Y.context,K=O.gl,de=J.posMatrix,ne=Y.useProgram(\"debug\"),we=An.disabled,Oe=Vi.disabled,ht=Y.colorModeForRenderPass(),Yt=\"$debug\";O.activeTexture.set(K.TEXTURE0),Y.emptyTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE),ne.draw(O,K.LINE_STRIP,we,Oe,ht,wr.disabled,dn(de,i.Color.red),Yt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var cr=D.getTileByID(J.key).latestRawTileData,Nt=cr&&cr.byteLength||0,Ne=Math.floor(Nt/1024),$e=D.getTile(J).tileSize,st=512/Math.min($e,512)*(J.overscaledZ/Y.transform.zoom)*.5,It=J.canonical.toString();J.overscaledZ!==J.canonical.z&&(It+=\" => \"+J.overscaledZ);var Bt=It+\" \"+Ne+\"kb\";$a(Y,Bt),ne.draw(O,K.TRIANGLES,we,Oe,wt.alphaBlended,wr.disabled,dn(de,i.Color.transparent,st),Yt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function $a(Y,D){Y.initDebugOverlayCanvas();var J=Y.debugOverlayCanvas,O=Y.context.gl,K=Y.debugOverlayCanvas.getContext(\"2d\");K.clearRect(0,0,J.width,J.height),K.shadowColor=\"white\",K.shadowBlur=2,K.lineWidth=1.5,K.strokeStyle=\"white\",K.textBaseline=\"top\",K.font=\"bold 36px Open Sans, sans-serif\",K.fillText(D,5,5),K.strokeText(D,5,5),Y.debugOverlayTexture.update(J),Y.debugOverlayTexture.bind(O.LINEAR,O.CLAMP_TO_EDGE)}function Co(Y,D,J){var O=Y.context,K=J.implementation;if(Y.renderPass===\"offscreen\"){var de=K.prerender;de&&(Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),de.call(K,O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),O.setStencilMode(Vi.disabled);var ne=K.renderingMode===\"3d\"?new An(Y.context.gl.LEQUAL,An.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,An.ReadOnly);O.setDepthMode(ne),K.render(O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState(),O.bindFramebuffer.set(null)}}var Qa={symbol:w,circle:ut,heatmap:Mt,line:Cr,fill:ve,\"fill-extrusion\":Ie,hillshade:Qe,raster:qt,background:nr,debug:Aa,custom:Co},mo=function(D,J){this.context=new Xr(D),this.transform=J,this._tileTextures={},this.setup(),this.numSublayers=ti.maxUnderzooming+ti.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Vf,this.gpuTimers={}};mo.prototype.resize=function(D,J){if(this.width=D*i.browser.devicePixelRatio,this.height=J*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var O=0,K=this.style._order;O<K.length;O+=1){var de=K[O];this.style._layers[de].resize()}},mo.prototype.setup=function(){var D=this.context,J=new i.StructArrayLayout2i4;J.emplaceBack(0,0),J.emplaceBack(i.EXTENT,0),J.emplaceBack(0,i.EXTENT),J.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=D.createVertexBuffer(J,oc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var O=new i.StructArrayLayout2i4;O.emplaceBack(0,0),O.emplaceBack(i.EXTENT,0),O.emplaceBack(0,i.EXTENT),O.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=D.createVertexBuffer(O,oc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var K=new i.StructArrayLayout4i8;K.emplaceBack(0,0,0,0),K.emplaceBack(i.EXTENT,0,i.EXTENT,0),K.emplaceBack(0,i.EXTENT,0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=D.createVertexBuffer(K,Ee.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout2i4;de.emplaceBack(0,0),de.emplaceBack(1,0),de.emplaceBack(0,1),de.emplaceBack(1,1),this.viewportBuffer=D.createVertexBuffer(de,oc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var ne=new i.StructArrayLayout1ui2;ne.emplaceBack(0),ne.emplaceBack(1),ne.emplaceBack(3),ne.emplaceBack(2),ne.emplaceBack(0),this.tileBorderIndexBuffer=D.createIndexBuffer(ne);var we=new i.StructArrayLayout3ui6;we.emplaceBack(0,1,2),we.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=D.createIndexBuffer(we),this.emptyTexture=new i.Texture(D,{width:1,height:1,data:new Uint8Array([0,0,0,0])},D.gl.RGBA);var Oe=this.context.gl;this.stencilClearMode=new Vi({func:Oe.ALWAYS,mask:0},0,255,Oe.ZERO,Oe.ZERO,Oe.ZERO)},mo.prototype.clearStencil=function(){var D=this.context,J=D.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var O=i.create();i.ortho(O,0,this.width,this.height,0,0,1),i.scale(O,O,[J.drawingBufferWidth,J.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(D,J.TRIANGLES,An.disabled,this.stencilClearMode,wt.disabled,wr.disabled,On(O),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},mo.prototype._renderTileClippingMasks=function(D,J){if(!(this.currentStencilSource===D.source||!D.isTileClipped()||!J||!J.length)){this.currentStencilSource=D.source;var O=this.context,K=O.gl;this.nextStencilID+J.length>256&&this.clearStencil(),O.setColorMode(wt.disabled),O.setDepthMode(An.disabled);var de=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var ne=0,we=J;ne<we.length;ne+=1){var Oe=we[ne],ht=this._tileClippingMaskIDs[Oe.key]=this.nextStencilID++;de.draw(O,K.TRIANGLES,An.disabled,new Vi({func:K.ALWAYS,mask:0},ht,255,K.KEEP,K.KEEP,K.REPLACE),wt.disabled,wr.disabled,On(Oe.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},mo.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var D=this.nextStencilID++,J=this.context.gl;return new Vi({func:J.NOTEQUAL,mask:255},D,255,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilModeForClipping=function(D){var J=this.context.gl;return new Vi({func:J.EQUAL,mask:255},this._tileClippingMaskIDs[D.key],0,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilConfigForOverlap=function(D){var J,O=this.context.gl,K=D.sort(function(ht,Yt){return Yt.overscaledZ-ht.overscaledZ}),de=K[K.length-1].overscaledZ,ne=K[0].overscaledZ-de+1;if(ne>1){this.currentStencilSource=void 0,this.nextStencilID+ne>256&&this.clearStencil();for(var we={},Oe=0;Oe<ne;Oe++)we[Oe+de]=new Vi({func:O.GEQUAL,mask:255},Oe+this.nextStencilID,255,O.KEEP,O.KEEP,O.REPLACE);return this.nextStencilID+=ne,[we,K]}return[(J={},J[de]=Vi.disabled,J),K]},mo.prototype.colorModeForRenderPass=function(){var D=this.context.gl;if(this._showOverdrawInspector){var J=8,O=1/J;return new wt([D.CONSTANT_COLOR,D.ONE],new i.Color(O,O,O,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?wt.unblended:wt.alphaBlended},mo.prototype.depthModeForSublayer=function(D,J,O){if(!this.opaquePassEnabledForLayer())return An.disabled;var K=1-((1+this.currentLayer)*this.numSublayers+D)*this.depthEpsilon;return new An(O||this.context.gl.LEQUAL,J,[K,K])},mo.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},mo.prototype.render=function(D,J){var O=this;this.style=D,this.options=J,this.lineAtlas=D.lineAtlas,this.imageManager=D.imageManager,this.glyphManager=D.glyphManager,this.symbolFadeChange=D.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var K=this.style._order,de=this.style.sourceCaches;for(var ne in de){var we=de[ne];we.used&&we.prepare(this.context)}var Oe={},ht={},Yt={};for(var cr in de){var Nt=de[cr];Oe[cr]=Nt.getVisibleCoordinates(),ht[cr]=Oe[cr].slice().reverse(),Yt[cr]=Nt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var Ne=0;Ne<K.length;Ne++){var $e=K[Ne];if(this.style._layers[$e].is3D()){this.opaquePassCutoff=Ne;break}}this.renderPass=\"offscreen\";for(var st=0,It=K;st<It.length;st+=1){var Bt=It[st],Ft=this.style._layers[Bt];if(!(!Ft.hasOffscreenPass()||Ft.isHidden(this.transform.zoom))){var Ut=ht[Ft.source];Ft.type!==\"custom\"&&!Ut.length||this.renderLayer(this,de[Ft.source],Ft,Ut)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:J.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=J.showOverdrawInspector,this.depthRangeFor3D=[0,1-(D._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=K.length-1;this.currentLayer>=0;this.currentLayer--){var zt=this.style._layers[K[this.currentLayer]],_t=de[zt.source],Dt=Oe[zt.source];this._renderTileClippingMasks(zt,Dt),this.renderLayer(this,_t,zt,Dt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<K.length;this.currentLayer++){var vt=this.style._layers[K[this.currentLayer]],lr=de[vt.source],_r=(vt.type===\"symbol\"?Yt:ht)[vt.source];this._renderTileClippingMasks(vt,Oe[vt.source]),this.renderLayer(this,lr,vt,_r)}if(this.options.showTileBoundaries){var Br,Di,ci=i.values(this.style._layers);ci.forEach(function(bi){bi.source&&!bi.isHidden(O.transform.zoom)&&(bi.source!==(Di&&Di.id)&&(Di=O.style.sourceCaches[bi.source]),(!Br||Br.getSource().maxzoom<Di.getSource().maxzoom)&&(Br=Di))}),Br&&Qa.debug(this,Br,Br.getVisibleCoordinates())}this.options.showPadding&&Ci(this),this.context.setDefault()},mo.prototype.renderLayer=function(D,J,O,K){O.isHidden(this.transform.zoom)||O.type!==\"background\"&&O.type!==\"custom\"&&!K.length||(this.id=O.id,this.gpuTimingStart(O),Qa[O.type](D,J,O,K,this.style.placement.variableOffsets),this.gpuTimingEnd())},mo.prototype.gpuTimingStart=function(D){if(this.options.gpuTiming){var J=this.context.extTimerQuery,O=this.gpuTimers[D.id];O||(O=this.gpuTimers[D.id]={calls:0,cpuTime:0,query:J.createQueryEXT()}),O.calls++,J.beginQueryEXT(J.TIME_ELAPSED_EXT,O.query)}},mo.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var D=this.context.extTimerQuery;D.endQueryEXT(D.TIME_ELAPSED_EXT)}},mo.prototype.collectGpuTimers=function(){var D=this.gpuTimers;return this.gpuTimers={},D},mo.prototype.queryGpuTimers=function(D){var J={};for(var O in D){var K=D[O],de=this.context.extTimerQuery,ne=de.getQueryObjectEXT(K.query,de.QUERY_RESULT_EXT)/(1e3*1e3);de.deleteQueryEXT(K.query),J[O]=ne}return J},mo.prototype.translatePosMatrix=function(D,J,O,K,de){if(!O[0]&&!O[1])return D;var ne=de?K===\"map\"?this.transform.angle:0:K===\"viewport\"?-this.transform.angle:0;if(ne){var we=Math.sin(ne),Oe=Math.cos(ne);O=[O[0]*Oe-O[1]*we,O[0]*we+O[1]*Oe]}var ht=[de?O[0]:As(J,O[0],this.transform.zoom),de?O[1]:As(J,O[1],this.transform.zoom),0],Yt=new Float32Array(16);return i.translate(Yt,D,ht),Yt},mo.prototype.saveTileTexture=function(D){var J=this._tileTextures[D.size[0]];J?J.push(D):this._tileTextures[D.size[0]]=[D]},mo.prototype.getTileTexture=function(D){var J=this._tileTextures[D];return J&&J.length>0?J.pop():null},mo.prototype.isPatternMissing=function(D){if(!D)return!1;if(!D.from||!D.to)return!0;var J=this.imageManager.getPattern(D.from.toString()),O=this.imageManager.getPattern(D.to.toString());return!J||!O},mo.prototype.useProgram=function(D,J){this.cache=this.cache||{};var O=\"\"+D+(J?J.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[O]||(this.cache[O]=new Rf(this.context,D,wf[D],J,oo[D],this._showOverdrawInspector)),this.cache[O]},mo.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},mo.prototype.setBaseState=function(){var D=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(D.FUNC_ADD)},mo.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var D=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,D.RGBA)}},mo.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Bo=function(D,J){this.points=D,this.planes=J};Bo.fromInvProjectionMatrix=function(D,J,O){var K=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],de=Math.pow(2,O),ne=K.map(function(ht){return i.transformMat4([],ht,D)}).map(function(ht){return i.scale$1([],ht,1/ht[3]/J*de)}),we=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],Oe=we.map(function(ht){var Yt=i.sub([],ne[ht[0]],ne[ht[1]]),cr=i.sub([],ne[ht[2]],ne[ht[1]]),Nt=i.normalize([],i.cross([],Yt,cr)),Ne=-i.dot(Nt,ne[ht[1]]);return Nt.concat(Ne)});return new Bo(ne,Oe)};var Ps=function(D,J){this.min=D,this.max=J,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ps.prototype.quadrant=function(D){for(var J=[D%2===0,D<2],O=i.clone$2(this.min),K=i.clone$2(this.max),de=0;de<J.length;de++)O[de]=J[de]?this.min[de]:this.center[de],K[de]=J[de]?this.center[de]:this.max[de];return K[2]=this.max[2],new Ps(O,K)},Ps.prototype.distanceX=function(D){var J=Math.max(Math.min(this.max[0],D[0]),this.min[0]);return J-D[0]},Ps.prototype.distanceY=function(D){var J=Math.max(Math.min(this.max[1],D[1]),this.min[1]);return J-D[1]},Ps.prototype.intersects=function(D){for(var J=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],O=!0,K=0;K<D.planes.length;K++){for(var de=D.planes[K],ne=0,we=0;we<J.length;we++)ne+=i.dot$1(de,J[we])>=0;if(ne===0)return 0;ne!==J.length&&(O=!1)}if(O)return 2;for(var Oe=0;Oe<3;Oe++){for(var ht=Number.MAX_VALUE,Yt=-Number.MAX_VALUE,cr=0;cr<D.points.length;cr++){var Nt=D.points[cr][Oe]-this.min[Oe];ht=Math.min(ht,Nt),Yt=Math.max(Yt,Nt)}if(Yt<0||ht>this.max[Oe]-this.min[Oe])return 0}return 1};var Ts=function(D,J,O,K){if(D===void 0&&(D=0),J===void 0&&(J=0),O===void 0&&(O=0),K===void 0&&(K=0),isNaN(D)||D<0||isNaN(J)||J<0||isNaN(O)||O<0||isNaN(K)||K<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=D,this.bottom=J,this.left=O,this.right=K};Ts.prototype.interpolate=function(D,J,O){return J.top!=null&&D.top!=null&&(this.top=i.number(D.top,J.top,O)),J.bottom!=null&&D.bottom!=null&&(this.bottom=i.number(D.bottom,J.bottom,O)),J.left!=null&&D.left!=null&&(this.left=i.number(D.left,J.left,O)),J.right!=null&&D.right!=null&&(this.right=i.number(D.right,J.right,O)),this},Ts.prototype.getCenter=function(D,J){var O=i.clamp((this.left+D-this.right)/2,0,D),K=i.clamp((this.top+J-this.bottom)/2,0,J);return new i.Point(O,K)},Ts.prototype.equals=function(D){return this.top===D.top&&this.bottom===D.bottom&&this.left===D.left&&this.right===D.right},Ts.prototype.clone=function(){return new Ts(this.top,this.bottom,this.left,this.right)},Ts.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wo=function(D,J,O,K,de){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=de===void 0?!0:de,this._minZoom=D||0,this._maxZoom=J||22,this._minPitch=O==null?0:O,this._maxPitch=K==null?60:K,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ts,this._posMatrixCache={},this._alignedPosMatrixCache={}},To={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wo.prototype.clone=function(){var D=new wo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return D.tileSize=this.tileSize,D.latRange=this.latRange,D.width=this.width,D.height=this.height,D._center=this._center,D.zoom=this.zoom,D.angle=this.angle,D._fov=this._fov,D._pitch=this._pitch,D._unmodified=this._unmodified,D._edgeInsets=this._edgeInsets.clone(),D._calcMatrices(),D},To.minZoom.get=function(){return this._minZoom},To.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},To.maxZoom.get=function(){return this._maxZoom},To.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},To.minPitch.get=function(){return this._minPitch},To.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},To.maxPitch.get=function(){return this._maxPitch},To.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},To.renderWorldCopies.get=function(){return this._renderWorldCopies},To.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},To.worldSize.get=function(){return this.tileSize*this.scale},To.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},To.size.get=function(){return new i.Point(this.width,this.height)},To.bearing.get=function(){return-this.angle/Math.PI*180},To.bearing.set=function(Y){var D=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==D&&(this._unmodified=!1,this.angle=D,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},To.pitch.get=function(){return this._pitch/Math.PI*180},To.pitch.set=function(Y){var D=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==D&&(this._unmodified=!1,this._pitch=D,this._calcMatrices())},To.fov.get=function(){return this._fov/Math.PI*180},To.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},To.zoom.get=function(){return this._zoom},To.zoom.set=function(Y){var D=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==D&&(this._unmodified=!1,this._zoom=D,this.scale=this.zoomScale(D),this.tileZoom=Math.floor(D),this.zoomFraction=D-this.tileZoom,this._constrain(),this._calcMatrices())},To.center.get=function(){return this._center},To.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},To.padding.get=function(){return this._edgeInsets.toJSON()},To.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},To.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wo.prototype.isPaddingEqual=function(D){return this._edgeInsets.equals(D)},wo.prototype.interpolatePadding=function(D,J,O){this._unmodified=!1,this._edgeInsets.interpolate(D,J,O),this._constrain(),this._calcMatrices()},wo.prototype.coveringZoomLevel=function(D){var J=(D.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/D.tileSize));return Math.max(0,J)},wo.prototype.getVisibleUnwrappedCoordinates=function(D){var J=[new i.UnwrappedTileID(0,D)];if(this._renderWorldCopies)for(var O=this.pointCoordinate(new i.Point(0,0)),K=this.pointCoordinate(new i.Point(this.width,0)),de=this.pointCoordinate(new i.Point(this.width,this.height)),ne=this.pointCoordinate(new i.Point(0,this.height)),we=Math.floor(Math.min(O.x,K.x,de.x,ne.x)),Oe=Math.floor(Math.max(O.x,K.x,de.x,ne.x)),ht=1,Yt=we-ht;Yt<=Oe+ht;Yt++)Yt!==0&&J.push(new i.UnwrappedTileID(Yt,D));return J},wo.prototype.coveringTiles=function(D){var J=this.coveringZoomLevel(D),O=J;if(D.minzoom!==void 0&&J<D.minzoom)return[];D.maxzoom!==void 0&&J>D.maxzoom&&(J=D.maxzoom);var K=i.MercatorCoordinate.fromLngLat(this.center),de=Math.pow(2,J),ne=[de*K.x,de*K.y,0],we=Bo.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,J),Oe=D.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(Oe=J);var ht=3,Yt=function(ci){return{aabb:new Ps([ci*de,0,0],[(ci+1)*de,de,0]),zoom:0,x:0,y:0,wrap:ci,fullyVisible:!1}},cr=[],Nt=[],Ne=J,$e=D.reparseOverscaled?O:J;if(this._renderWorldCopies)for(var st=1;st<=3;st++)cr.push(Yt(-st)),cr.push(Yt(st));for(cr.push(Yt(0));cr.length>0;){var It=cr.pop(),Bt=It.x,Ft=It.y,Ut=It.fullyVisible;if(!Ut){var zt=It.aabb.intersects(we);if(zt===0)continue;Ut=zt===2}var _t=It.aabb.distanceX(ne),Dt=It.aabb.distanceY(ne),vt=Math.max(Math.abs(_t),Math.abs(Dt)),lr=ht+(1<<Ne-It.zoom)-2;if(It.zoom===Ne||vt>lr&&It.zoom>=Oe){Nt.push({tileID:new i.OverscaledTileID(It.zoom===Ne?$e:It.zoom,It.wrap,It.zoom,Bt,Ft),distanceSq:i.sqrLen([ne[0]-.5-Bt,ne[1]-.5-Ft])});continue}for(var _r=0;_r<4;_r++){var Br=(Bt<<1)+_r%2,Di=(Ft<<1)+(_r>>1);cr.push({aabb:It.aabb.quadrant(_r),zoom:It.zoom+1,x:Br,y:Di,wrap:It.wrap,fullyVisible:Ut})}}return Nt.sort(function(ci,bi){return ci.distanceSq-bi.distanceSq}).map(function(ci){return ci.tileID})},wo.prototype.resize=function(D,J){this.width=D,this.height=J,this.pixelsToGLUnits=[2/D,-2/J],this._constrain(),this._calcMatrices()},To.unmodified.get=function(){return this._unmodified},wo.prototype.zoomScale=function(D){return Math.pow(2,D)},wo.prototype.scaleZoom=function(D){return Math.log(D)/Math.LN2},wo.prototype.project=function(D){var J=i.clamp(D.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(D.lng)*this.worldSize,i.mercatorYfromLat(J)*this.worldSize)},wo.prototype.unproject=function(D){return new i.MercatorCoordinate(D.x/this.worldSize,D.y/this.worldSize).toLngLat()},To.point.get=function(){return this.project(this.center)},wo.prototype.setLocationAtPoint=function(D,J){var O=this.pointCoordinate(J),K=this.pointCoordinate(this.centerPoint),de=this.locationCoordinate(D),ne=new i.MercatorCoordinate(de.x-(O.x-K.x),de.y-(O.y-K.y));this.center=this.coordinateLocation(ne),this._renderWorldCopies&&(this.center=this.center.wrap())},wo.prototype.locationPoint=function(D){return this.coordinatePoint(this.locationCoordinate(D))},wo.prototype.pointLocation=function(D){return this.coordinateLocation(this.pointCoordinate(D))},wo.prototype.locationCoordinate=function(D){return i.MercatorCoordinate.fromLngLat(D)},wo.prototype.coordinateLocation=function(D){return D.toLngLat()},wo.prototype.pointCoordinate=function(D){var J=0,O=[D.x,D.y,0,1],K=[D.x,D.y,1,1];i.transformMat4(O,O,this.pixelMatrixInverse),i.transformMat4(K,K,this.pixelMatrixInverse);var de=O[3],ne=K[3],we=O[0]/de,Oe=K[0]/ne,ht=O[1]/de,Yt=K[1]/ne,cr=O[2]/de,Nt=K[2]/ne,Ne=cr===Nt?0:(J-cr)/(Nt-cr);return new i.MercatorCoordinate(i.number(we,Oe,Ne)/this.worldSize,i.number(ht,Yt,Ne)/this.worldSize)},wo.prototype.coordinatePoint=function(D){var J=[D.x*this.worldSize,D.y*this.worldSize,0,1];return i.transformMat4(J,J,this.pixelMatrix),new i.Point(J[0]/J[3],J[1]/J[3])},wo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},wo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},wo.prototype.setMaxBounds=function(D){D?(this.lngRange=[D.getWest(),D.getEast()],this.latRange=[D.getSouth(),D.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wo.prototype.calculatePosMatrix=function(D,J){J===void 0&&(J=!1);var O=D.key,K=J?this._alignedPosMatrixCache:this._posMatrixCache;if(K[O])return K[O];var de=D.canonical,ne=this.worldSize/this.zoomScale(de.z),we=de.x+Math.pow(2,de.z)*D.wrap,Oe=i.identity(new Float64Array(16));return i.translate(Oe,Oe,[we*ne,de.y*ne,0]),i.scale(Oe,Oe,[ne/i.EXTENT,ne/i.EXTENT,1]),i.multiply(Oe,J?this.alignedProjMatrix:this.projMatrix,Oe),K[O]=new Float32Array(Oe),K[O]},wo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var D=-90,J=90,O=-180,K=180,de,ne,we,Oe,ht=this.size,Yt=this._unmodified;if(this.latRange){var cr=this.latRange;D=i.mercatorYfromLat(cr[1])*this.worldSize,J=i.mercatorYfromLat(cr[0])*this.worldSize,de=J-D<ht.y?ht.y/(J-D):0}if(this.lngRange){var Nt=this.lngRange;O=i.mercatorXfromLng(Nt[0])*this.worldSize,K=i.mercatorXfromLng(Nt[1])*this.worldSize,ne=K-O<ht.x?ht.x/(K-O):0}var Ne=this.point,$e=Math.max(ne||0,de||0);if($e){this.center=this.unproject(new i.Point(ne?(K+O)/2:Ne.x,de?(J+D)/2:Ne.y)),this.zoom+=this.scaleZoom($e),this._unmodified=Yt,this._constraining=!1;return}if(this.latRange){var st=Ne.y,It=ht.y/2;st-It<D&&(Oe=D+It),st+It>J&&(Oe=J-It)}if(this.lngRange){var Bt=Ne.x,Ft=ht.x/2;Bt-Ft<O&&(we=O+Ft),Bt+Ft>K&&(we=K-Ft)}(we!==void 0||Oe!==void 0)&&(this.center=this.unproject(new i.Point(we!==void 0?we:Ne.x,Oe!==void 0?Oe:Ne.y))),this._unmodified=Yt,this._constraining=!1}},wo.prototype._calcMatrices=function(){if(this.height){var D=this._fov/2,J=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(D)*this.height;var O=Math.PI/2+this._pitch,K=this._fov*(.5+J.y/this.height),de=Math.sin(K)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-O-K,.01,Math.PI-.01)),ne=this.point,we=ne.x,Oe=ne.y,ht=Math.cos(Math.PI/2-this._pitch)*de+this.cameraToCenterDistance,Yt=ht*1.01,cr=this.height/50,Nt=new Float64Array(16);i.perspective(Nt,this._fov,this.width/this.height,cr,Yt),Nt[8]=-J.x*2/this.width,Nt[9]=J.y*2/this.height,i.scale(Nt,Nt,[1,-1,1]),i.translate(Nt,Nt,[0,0,-this.cameraToCenterDistance]),i.rotateX(Nt,Nt,this._pitch),i.rotateZ(Nt,Nt,this.angle),i.translate(Nt,Nt,[-we,-Oe,0]),this.mercatorMatrix=i.scale([],Nt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(Nt,Nt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=Nt,this.invProjMatrix=i.invert([],this.projMatrix);var Ne=this.width%2/2,$e=this.height%2/2,st=Math.cos(this.angle),It=Math.sin(this.angle),Bt=we-Math.round(we)+st*Ne+It*$e,Ft=Oe-Math.round(Oe)+st*$e+It*Ne,Ut=new Float64Array(Nt);if(i.translate(Ut,Ut,[Bt>.5?Bt-1:Bt,Ft>.5?Ft-1:Ft,0]),this.alignedProjMatrix=Ut,Nt=i.create(),i.scale(Nt,Nt,[this.width/2,-this.height/2,1]),i.translate(Nt,Nt,[1,-1,0]),this.labelPlaneMatrix=Nt,Nt=i.create(),i.scale(Nt,Nt,[1,-1,1]),i.translate(Nt,Nt,[-1,-1,0]),i.scale(Nt,Nt,[2/this.width,2/this.height,1]),this.glCoordMatrix=Nt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),Nt=i.invert(new Float64Array(16),this.pixelMatrix),!Nt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Nt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var D=this.pointCoordinate(new i.Point(0,0)),J=[D.x*this.worldSize,D.y*this.worldSize,0,1],O=i.transformMat4(J,J,this.pixelMatrix);return O[3]/this.cameraToCenterDistance},wo.prototype.getCameraPoint=function(){var D=this._pitch,J=Math.tan(D)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,J))},wo.prototype.getCameraQueryGeometry=function(D){var J=this.getCameraPoint();if(D.length===1)return[D[0],J];for(var O=J.x,K=J.y,de=J.x,ne=J.y,we=0,Oe=D;we<Oe.length;we+=1){var ht=Oe[we];O=Math.min(O,ht.x),K=Math.min(K,ht.y),de=Math.max(de,ht.x),ne=Math.max(ne,ht.y)}return[new i.Point(O,K),new i.Point(de,K),new i.Point(de,ne),new i.Point(O,ne),new i.Point(O,K)]},Object.defineProperties(wo.prototype,To);function hl(Y,D){var J=!1,O=null,K=function(){O=null,J&&(Y(),O=setTimeout(K,D),J=!1)};return function(){return J=!0,O||K(),O}}var Nl=function(D){this._hashName=D&&encodeURIComponent(D),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=hl(this._updateHashUnthrottled.bind(this),30*1e3/100)};Nl.prototype.addTo=function(D){return this._map=D,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Nl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Nl.prototype.getHashString=function(D){var J=this._map.getCenter(),O=Math.round(this._map.getZoom()*100)/100,K=Math.ceil((O*Math.LN2+Math.log(512/360/.5))/Math.LN10),de=Math.pow(10,K),ne=Math.round(J.lng*de)/de,we=Math.round(J.lat*de)/de,Oe=this._map.getBearing(),ht=this._map.getPitch(),Yt=\"\";if(D?Yt+=\"/\"+ne+\"/\"+we+\"/\"+O:Yt+=O+\"/\"+we+\"/\"+ne,(Oe||ht)&&(Yt+=\"/\"+Math.round(Oe*10)/10),ht&&(Yt+=\"/\"+Math.round(ht)),this._hashName){var cr=this._hashName,Nt=!1,Ne=i.window.location.hash.slice(1).split(\"&\").map(function($e){var st=$e.split(\"=\")[0];return st===cr?(Nt=!0,st+\"=\"+Yt):$e}).filter(function($e){return $e});return Nt||Ne.push(cr+\"=\"+Yt),\"#\"+Ne.join(\"&\")}return\"#\"+Yt},Nl.prototype._getCurrentHash=function(){var D=this,J=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var O;return J.split(\"&\").map(function(K){return K.split(\"=\")}).forEach(function(K){K[0]===D._hashName&&(O=K)}),(O&&O[1]||\"\").split(\"/\")}return J.split(\"/\")},Nl.prototype._onHashChange=function(){var D=this._getCurrentHash();if(D.length>=3&&!D.some(function(O){return isNaN(O)})){var J=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(D[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+D[2],+D[1]],zoom:+D[0],bearing:J,pitch:+(D[4]||0)}),!0}return!1},Nl.prototype._updateHashUnthrottled=function(){var D=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,D)}catch(J){}};var Lu={linearity:.3,easing:i.bezier(0,0,.3,1)},au=i.extend({deceleration:2500,maxSpeed:1400},Lu),Js=i.extend({deceleration:20,maxSpeed:1400},Lu),eu=i.extend({deceleration:1e3,maxSpeed:360},Lu),dc=i.extend({deceleration:1e3,maxSpeed:90},Lu),Al=function(D){this._map=D,this.clear()};Al.prototype.clear=function(){this._inertiaBuffer=[]},Al.prototype.record=function(D){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:D})},Al.prototype._drainInertiaBuffer=function(){for(var D=this._inertiaBuffer,J=i.browser.now(),O=160;D.length>0&&J-D[0].time>O;)D.shift()},Al.prototype._onMoveEnd=function(D){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var J={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},O=0,K=this._inertiaBuffer;O<K.length;O+=1){var de=K[O],ne=de.settings;J.zoom+=ne.zoomDelta||0,J.bearing+=ne.bearingDelta||0,J.pitch+=ne.pitchDelta||0,ne.panDelta&&J.pan._add(ne.panDelta),ne.around&&(J.around=ne.around),ne.pinchAround&&(J.pinchAround=ne.pinchAround)}var we=this._inertiaBuffer[this._inertiaBuffer.length-1],Oe=we.time-this._inertiaBuffer[0].time,ht={};if(J.pan.mag()){var Yt=X(J.pan.mag(),Oe,i.extend({},au,D||{}));ht.offset=J.pan.mult(Yt.amount/J.pan.mag()),ht.center=this._map.transform.center,Sl(ht,Yt)}if(J.zoom){var cr=X(J.zoom,Oe,Js);ht.zoom=this._map.transform.zoom+cr.amount,Sl(ht,cr)}if(J.bearing){var Nt=X(J.bearing,Oe,eu);ht.bearing=this._map.transform.bearing+i.clamp(Nt.amount,-179,179),Sl(ht,Nt)}if(J.pitch){var Ne=X(J.pitch,Oe,dc);ht.pitch=this._map.transform.pitch+Ne.amount,Sl(ht,Ne)}if(ht.zoom||ht.bearing){var $e=J.pinchAround===void 0?J.around:J.pinchAround;ht.around=$e?this._map.unproject($e):this._map.getCenter()}return this.clear(),i.extend(ht,{noMoveStart:!0})}};function Sl(Y,D){(!Y.duration||Y.duration<D.duration)&&(Y.duration=D.duration,Y.easing=D.easing)}function X(Y,D,J){var O=J.maxSpeed,K=J.linearity,de=J.deceleration,ne=i.clamp(Y*K/(D/1e3),-O,O),we=Math.abs(ne)/(de*K);return{easing:J.easing,duration:we*1e3,amount:ne*(we/2)}}var se=(function(Y){function D(O,K,de,ne){ne===void 0&&(ne={});var we=o.mousePos(K.getCanvasContainer(),de),Oe=K.unproject(we);Y.call(this,O,i.extend({point:we,lngLat:Oe,originalEvent:de},ne)),this._defaultPrevented=!1,this.target=K}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),Te=(function(Y){function D(O,K,de){var ne=O===\"touchend\"?de.changedTouches:de.touches,we=o.touchPos(K.getCanvasContainer(),ne),Oe=we.map(function(cr){return K.unproject(cr)}),ht=we.reduce(function(cr,Nt,Ne,$e){return cr.add(Nt.div($e.length))},new i.Point(0,0)),Yt=K.unproject(ht);Y.call(this,O,{points:we,point:ht,lngLats:Oe,lngLat:Yt,originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),qe=(function(Y){function D(O,K,de){Y.call(this,O,{originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),Ve=function(D,J){this._map=D,this._clickTolerance=J.clickTolerance};Ve.prototype.reset=function(){delete this._mousedownPos},Ve.prototype.wheel=function(D){return this._firePreventable(new qe(D.type,this._map,D))},Ve.prototype.mousedown=function(D,J){return this._mousedownPos=J,this._firePreventable(new se(D.type,this._map,D))},Ve.prototype.mouseup=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.click=function(D,J){this._mousedownPos&&this._mousedownPos.dist(J)>=this._clickTolerance||this._map.fire(new se(D.type,this._map,D))},Ve.prototype.dblclick=function(D){return this._firePreventable(new se(D.type,this._map,D))},Ve.prototype.mouseover=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.mouseout=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.touchstart=function(D){return this._firePreventable(new Te(D.type,this._map,D))},Ve.prototype.touchmove=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype.touchend=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype.touchcancel=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype._firePreventable=function(D){if(this._map.fire(D),D.defaultPrevented)return{}},Ve.prototype.isEnabled=function(){return!0},Ve.prototype.isActive=function(){return!1},Ve.prototype.enable=function(){},Ve.prototype.disable=function(){};var Ye=function(D){this._map=D};Ye.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Ye.prototype.mousemove=function(D){this._map.fire(new se(D.type,this._map,D))},Ye.prototype.mousedown=function(){this._delayContextMenu=!0},Ye.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new se(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Ye.prototype.contextmenu=function(D){this._delayContextMenu?this._contextMenuEvent=D:this._map.fire(new se(D.type,this._map,D)),this._map.listens(\"contextmenu\")&&D.preventDefault()},Ye.prototype.isEnabled=function(){return!0},Ye.prototype.isActive=function(){return!1},Ye.prototype.enable=function(){},Ye.prototype.disable=function(){};var Pt=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._container=D.getContainer(),this._clickTolerance=J.clickTolerance||1};Pt.prototype.isEnabled=function(){return!!this._enabled},Pt.prototype.isActive=function(){return!!this._active},Pt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Pt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Pt.prototype.mousedown=function(D,J){this.isEnabled()&&D.shiftKey&&D.button===0&&(o.disableDrag(),this._startPos=this._lastPos=J,this._active=!0)},Pt.prototype.mousemoveWindow=function(D,J){if(this._active){var O=J;if(!(this._lastPos.equals(O)||!this._box&&O.dist(this._startPos)<this._clickTolerance)){var K=this._startPos;this._lastPos=O,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",D));var de=Math.min(K.x,O.x),ne=Math.max(K.x,O.x),we=Math.min(K.y,O.y),Oe=Math.max(K.y,O.y);o.setTransform(this._box,\"translate(\"+de+\"px,\"+we+\"px)\"),this._box.style.width=ne-de+\"px\",this._box.style.height=Oe-we+\"px\"}}},Pt.prototype.mouseupWindow=function(D,J){var O=this;if(this._active&&D.button===0){var K=this._startPos,de=J;if(this.reset(),o.suppressClick(),K.x===de.x&&K.y===de.y)this._fireEvent(\"boxzoomcancel\",D);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:D})),{cameraAnimation:function(ne){return ne.fitScreenCoordinates(K,de,O._map.getBearing(),{linear:!0})}}}},Pt.prototype.keydown=function(D){this._active&&D.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",D))},Pt.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},Pt.prototype._fireEvent=function(D,J){return this._map.fire(new i.Event(D,{originalEvent:J}))};function ot(Y,D){for(var J={},O=0;O<Y.length;O++)J[Y[O].identifier]=D[O];return J}function Xt(Y){for(var D=new i.Point(0,0),J=0,O=Y;J<O.length;J+=1){var K=O[J];D._add(K)}return D.div(Y.length)}var dr=500,pr=500,Ur=30,zr=function(D){this.reset(),this.numTouches=D.numTouches};zr.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},zr.prototype.touchstart=function(D,J,O){(this.centroid||O.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=D.timeStamp),O.length===this.numTouches&&(this.centroid=Xt(J),this.touches=ot(O,J)))},zr.prototype.touchmove=function(D,J,O){if(!(this.aborted||!this.centroid)){var K=ot(O,J);for(var de in this.touches){var ne=this.touches[de],we=K[de];(!we||we.dist(ne)>Ur)&&(this.aborted=!0)}}},zr.prototype.touchend=function(D,J,O){if((!this.centroid||D.timeStamp-this.startTime>pr)&&(this.aborted=!0),O.length===0){var K=!this.aborted&&this.centroid;if(this.reset(),K)return K}};var gi=function(D){this.singleTap=new zr(D),this.numTaps=D.numTaps,this.reset()};gi.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},gi.prototype.touchstart=function(D,J,O){this.singleTap.touchstart(D,J,O)},gi.prototype.touchmove=function(D,J,O){this.singleTap.touchmove(D,J,O)},gi.prototype.touchend=function(D,J,O){var K=this.singleTap.touchend(D,J,O);if(K){var de=D.timeStamp-this.lastTime<dr,ne=!this.lastTap||this.lastTap.dist(K)<Ur;if((!de||!ne)&&this.reset(),this.count++,this.lastTime=D.timeStamp,this.lastTap=K,this.count===this.numTaps)return this.reset(),K}};var xi=function(){this._zoomIn=new gi({numTouches:1,numTaps:2}),this._zoomOut=new gi({numTouches:2,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},xi.prototype.touchstart=function(D,J,O){this._zoomIn.touchstart(D,J,O),this._zoomOut.touchstart(D,J,O)},xi.prototype.touchmove=function(D,J,O){this._zoomIn.touchmove(D,J,O),this._zoomOut.touchmove(D,J,O)},xi.prototype.touchend=function(D,J,O){var K=this,de=this._zoomIn.touchend(D,J,O),ne=this._zoomOut.touchend(D,J,O);if(de)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()+1,around:we.unproject(de)},{originalEvent:D})}};if(ne)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()-1,around:we.unproject(ne)},{originalEvent:D})}}},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var Wr=0,ii=2,di={};di[Wr]=1,di[ii]=2;function Li(Y,D){var J=di[D];return Y.buttons===void 0||(Y.buttons&J)!==J}var Ti=function(D){this.reset(),this._clickTolerance=D.clickTolerance||1};Ti.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Ti.prototype._correctButton=function(D,J){return!1},Ti.prototype._move=function(D,J){return{}},Ti.prototype.mousedown=function(D,J){if(!this._lastPoint){var O=o.mouseButton(D);this._correctButton(D,O)&&(this._lastPoint=J,this._eventButton=O)}},Ti.prototype.mousemoveWindow=function(D,J){var O=this._lastPoint;if(O){if(D.preventDefault(),Li(D,this._eventButton)){this.reset();return}if(!(!this._moved&&J.dist(O)<this._clickTolerance))return this._moved=!0,this._lastPoint=J,this._move(O,J)}},Ti.prototype.mouseupWindow=function(D){if(this._lastPoint){var J=o.mouseButton(D);J===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},Ti.prototype.enable=function(){this._enabled=!0},Ti.prototype.disable=function(){this._enabled=!1,this.reset()},Ti.prototype.isEnabled=function(){return this._enabled},Ti.prototype.isActive=function(){return this._active};var Qr=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.mousedown=function(O,K){Y.prototype.mousedown.call(this,O,K),this._lastPoint&&(this._active=!0)},D.prototype._correctButton=function(O,K){return K===Wr&&!O.ctrlKey},D.prototype._move=function(O,K){return{around:K,panDelta:K.sub(O)}},D})(Ti),Pn=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(O,K){return K===Wr&&O.ctrlKey||K===ii},D.prototype._move=function(O,K){var de=.8,ne=(K.x-O.x)*de;if(ne)return this._active=!0,{bearingDelta:ne}},D.prototype.contextmenu=function(O){O.preventDefault()},D})(Ti),kn=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(O,K){return K===Wr&&O.ctrlKey||K===ii},D.prototype._move=function(O,K){var de=-.5,ne=(K.y-O.y)*de;if(ne)return this._active=!0,{pitchDelta:ne}},D.prototype.contextmenu=function(O){O.preventDefault()},D})(Ti),Bn=function(D){this._minTouches=1,this._clickTolerance=D.clickTolerance||1,this.reset()};Bn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},Bn.prototype.touchstart=function(D,J,O){return this._calculateTransform(D,J,O)},Bn.prototype.touchmove=function(D,J,O){if(!(!this._active||O.length<this._minTouches))return D.preventDefault(),this._calculateTransform(D,J,O)},Bn.prototype.touchend=function(D,J,O){this._calculateTransform(D,J,O),this._active&&O.length<this._minTouches&&this.reset()},Bn.prototype.touchcancel=function(){this.reset()},Bn.prototype._calculateTransform=function(D,J,O){O.length>0&&(this._active=!0);var K=ot(O,J),de=new i.Point(0,0),ne=new i.Point(0,0),we=0;for(var Oe in K){var ht=K[Oe],Yt=this._touches[Oe];Yt&&(de._add(ht),ne._add(ht.sub(Yt)),we++,K[Oe]=ht)}if(this._touches=K,!(we<this._minTouches||!ne.mag())){var cr=ne.div(we);if(this._sum._add(cr),!(this._sum.mag()<this._clickTolerance)){var Nt=de.div(we);return{around:Nt,panDelta:cr}}}},Bn.prototype.enable=function(){this._enabled=!0},Bn.prototype.disable=function(){this._enabled=!1,this.reset()},Bn.prototype.isEnabled=function(){return this._enabled},Bn.prototype.isActive=function(){return this._active};var na=function(){this.reset()};na.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},na.prototype._start=function(D){},na.prototype._move=function(D,J,O){return{}},na.prototype.touchstart=function(D,J,O){this._firstTwoTouches||O.length<2||(this._firstTwoTouches=[O[0].identifier,O[1].identifier],this._start([J[0],J[1]]))},na.prototype.touchmove=function(D,J,O){if(this._firstTwoTouches){D.preventDefault();var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(O,J,de),Oe=Ea(O,J,ne);if(!(!we||!Oe)){var ht=this._aroundCenter?null:we.add(Oe).div(2);return this._move([we,Oe],ht,D)}}},na.prototype.touchend=function(D,J,O){if(this._firstTwoTouches){var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(O,J,de),Oe=Ea(O,J,ne);we&&Oe||(this._active&&o.suppressClick(),this.reset())}},na.prototype.touchcancel=function(){this.reset()},na.prototype.enable=function(D){this._enabled=!0,this._aroundCenter=!!D&&D.around===\"center\"},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};function Ea(Y,D,J){for(var O=0;O<Y.length;O++)if(Y[O].identifier===J)return D[O]}var Ia=.1;function yo(Y,D){return Math.log(Y/D)/Math.LN2}var Da=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},D.prototype._start=function(O){this._startDistance=this._distance=O[0].dist(O[1])},D.prototype._move=function(O,K){var de=this._distance;if(this._distance=O[0].dist(O[1]),!(!this._active&&Math.abs(yo(this._distance,this._startDistance))<Ia))return this._active=!0,{zoomDelta:yo(this._distance,de),pinchAround:K}},D})(na),go=25;function Is(Y,D){return Y.angleWith(D)*180/Math.PI}var Ms=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},D.prototype._start=function(O){this._startVector=this._vector=O[0].sub(O[1]),this._minDiameter=O[0].dist(O[1])},D.prototype._move=function(O,K){var de=this._vector;if(this._vector=O[0].sub(O[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Is(this._vector,de),pinchAround:K}},D.prototype._isBelowThreshold=function(O){this._minDiameter=Math.min(this._minDiameter,O.mag());var K=Math.PI*this._minDiameter,de=go/K*360,ne=Is(O,this._startVector);return Math.abs(ne)<de},D})(na);function Xs(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var Un=100,ja=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},D.prototype._start=function(O){this._lastPoints=O,Xs(O[0].sub(O[1]))&&(this._valid=!1)},D.prototype._move=function(O,K,de){var ne=O[0].sub(this._lastPoints[0]),we=O[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(ne,we,de.timeStamp),!!this._valid){this._lastPoints=O,this._active=!0;var Oe=(ne.y+we.y)/2,ht=-.5;return{pitchDelta:Oe*ht}}},D.prototype.gestureBeginsVertically=function(O,K,de){if(this._valid!==void 0)return this._valid;var ne=2,we=O.mag()>=ne,Oe=K.mag()>=ne;if(!(!we&&!Oe)){if(!we||!Oe)return this._firstMove===void 0&&(this._firstMove=de),de-this._firstMove<Un?void 0:!1;var ht=O.y>0==K.y>0;return Xs(O)&&Xs(K)&&ht}},D})(na),Fo={panStep:100,bearingStep:15,pitchStep:10},Uo=function(){var D=Fo;this._panStep=D.panStep,this._bearingStep=D.bearingStep,this._pitchStep=D.pitchStep,this._rotationDisabled=!1};Uo.prototype.reset=function(){this._active=!1},Uo.prototype.keydown=function(D){var J=this;if(!(D.altKey||D.ctrlKey||D.metaKey)){var O=0,K=0,de=0,ne=0,we=0;switch(D.keyCode){case 61:case 107:case 171:case 187:O=1;break;case 189:case 109:case 173:O=-1;break;case 37:D.shiftKey?K=-1:(D.preventDefault(),ne=-1);break;case 39:D.shiftKey?K=1:(D.preventDefault(),ne=1);break;case 38:D.shiftKey?de=1:(D.preventDefault(),we=-1);break;case 40:D.shiftKey?de=-1:(D.preventDefault(),we=1);break;default:return}return this._rotationDisabled&&(K=0,de=0),{cameraAnimation:function(Oe){var ht=Oe.getZoom();Oe.easeTo({duration:300,easeId:\"keyboardHandler\",easing:$s,zoom:O?Math.round(ht)+O*(D.shiftKey?2:1):ht,bearing:Oe.getBearing()+K*J._bearingStep,pitch:Oe.getPitch()+de*J._pitchStep,offset:[-ne*J._panStep,-we*J._panStep],center:Oe.getCenter()},{originalEvent:D})}}}},Uo.prototype.enable=function(){this._enabled=!0},Uo.prototype.disable=function(){this._enabled=!1,this.reset()},Uo.prototype.isEnabled=function(){return this._enabled},Uo.prototype.isActive=function(){return this._active},Uo.prototype.disableRotation=function(){this._rotationDisabled=!0},Uo.prototype.enableRotation=function(){this._rotationDisabled=!1};function $s(Y){return Y*(2-Y)}var Ml=4.000244140625,bu=1/100,dl=1/450,Sc=2,Me=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._handler=J,this._delta=0,this._defaultZoomRate=bu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};Me.prototype.setZoomRate=function(D){this._defaultZoomRate=D},Me.prototype.setWheelZoomRate=function(D){this._wheelZoomRate=D},Me.prototype.isEnabled=function(){return!!this._enabled},Me.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},Me.prototype.isZooming=function(){return!!this._zooming},Me.prototype.enable=function(D){this.isEnabled()||(this._enabled=!0,this._aroundCenter=D&&D.around===\"center\")},Me.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Me.prototype.wheel=function(D){if(this.isEnabled()){var J=D.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?D.deltaY*40:D.deltaY,O=i.browser.now(),K=O-(this._lastWheelEventTime||0);this._lastWheelEventTime=O,J!==0&&J%Ml===0?this._type=\"wheel\":J!==0&&Math.abs(J)<4?this._type=\"trackpad\":K>400?(this._type=null,this._lastValue=J,this._timeout=setTimeout(this._onTimeout,40,D)):this._type||(this._type=Math.abs(K*J)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,J+=this._lastValue)),D.shiftKey&&J&&(J=J/4),this._type&&(this._lastWheelEvent=D,this._delta-=J,this._active||this._start(D)),D.preventDefault()}},Me.prototype._onTimeout=function(D){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(D)},Me.prototype._start=function(D){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var J=o.mousePos(this._el,D);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(J)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},Me.prototype.renderFrame=function(){var D=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var J=this._map.transform;if(this._delta!==0){var O=this._type===\"wheel\"&&Math.abs(this._delta)>Ml?this._wheelZoomRate:this._defaultZoomRate,K=Sc/(1+Math.exp(-Math.abs(this._delta*O)));this._delta<0&&K!==0&&(K=1/K);var de=typeof this._targetZoom==\"number\"?J.zoomScale(this._targetZoom):J.scale;this._targetZoom=Math.min(J.maxZoom,Math.max(J.minZoom,J.scaleZoom(de*K))),this._type===\"wheel\"&&(this._startZoom=J.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var ne=typeof this._targetZoom==\"number\"?this._targetZoom:J.zoom,we=this._startZoom,Oe=this._easing,ht=!1,Yt;if(this._type===\"wheel\"&&we&&Oe){var cr=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),Nt=Oe(cr);Yt=i.number(we,ne,Nt),cr<1?this._frameId||(this._frameId=!0):ht=!0}else Yt=ne,ht=!0;return this._active=!0,ht&&(this._active=!1,this._finishTimeout=setTimeout(function(){D._zooming=!1,D._handler._triggerRenderFrame(),delete D._targetZoom,delete D._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!ht,zoomDelta:Yt-J.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},Me.prototype._smoothOutEasing=function(D){var J=i.ease;if(this._prevEase){var O=this._prevEase,K=(i.browser.now()-O.start)/O.duration,de=O.easing(K+.01)-O.easing(K),ne=.27/Math.sqrt(de*de+1e-4)*.01,we=Math.sqrt(.27*.27-ne*ne);J=i.bezier(ne,we,.25,1)}return this._prevEase={start:i.browser.now(),duration:D,easing:J},J},Me.prototype.reset=function(){this._active=!1};var bt=function(D,J){this._clickZoom=D,this._tapZoom=J};bt.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},bt.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},bt.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},bt.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var Ot=function(){this.reset()};Ot.prototype.reset=function(){this._active=!1},Ot.prototype.dblclick=function(D,J){return D.preventDefault(),{cameraAnimation:function(O){O.easeTo({duration:300,zoom:O.getZoom()+(D.shiftKey?-1:1),around:O.unproject(J)},{originalEvent:D})}}},Ot.prototype.enable=function(){this._enabled=!0},Ot.prototype.disable=function(){this._enabled=!1,this.reset()},Ot.prototype.isEnabled=function(){return this._enabled},Ot.prototype.isActive=function(){return this._active};var Lr=function(){this._tap=new gi({numTouches:1,numTaps:1}),this.reset()};Lr.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},Lr.prototype.touchstart=function(D,J,O){this._swipePoint||(this._tapTime&&D.timeStamp-this._tapTime>dr&&this.reset(),this._tapTime?O.length>0&&(this._swipePoint=J[0],this._swipeTouch=O[0].identifier):this._tap.touchstart(D,J,O))},Lr.prototype.touchmove=function(D,J,O){if(!this._tapTime)this._tap.touchmove(D,J,O);else if(this._swipePoint){if(O[0].identifier!==this._swipeTouch)return;var K=J[0],de=K.y-this._swipePoint.y;return this._swipePoint=K,D.preventDefault(),this._active=!0,{zoomDelta:de/128}}},Lr.prototype.touchend=function(D,J,O){if(this._tapTime)this._swipePoint&&O.length===0&&this.reset();else{var K=this._tap.touchend(D,J,O);K&&(this._tapTime=D.timeStamp)}},Lr.prototype.touchcancel=function(){this.reset()},Lr.prototype.enable=function(){this._enabled=!0},Lr.prototype.disable=function(){this._enabled=!1,this.reset()},Lr.prototype.isEnabled=function(){return this._enabled},Lr.prototype.isActive=function(){return this._active};var Vr=function(D,J,O){this._el=D,this._mousePan=J,this._touchPan=O};Vr.prototype.enable=function(D){this._inertiaOptions=D||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Vr.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Vr.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Vr.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Or=function(D,J,O){this._pitchWithRotate=D.pitchWithRotate,this._mouseRotate=J,this._mousePitch=O};Or.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Or.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Or.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Or.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Nr=function(D,J,O,K){this._el=D,this._touchZoom=J,this._touchRotate=O,this._tapDragZoom=K,this._rotationDisabled=!1,this._enabled=!0};Nr.prototype.enable=function(D){this._touchZoom.enable(D),this._rotationDisabled||this._touchRotate.enable(D),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Nr.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Nr.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Nr.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Nr.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Nr.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var vi=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},Ni=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D})(i.Event);function qi(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var Si=function(D,J){this._map=D,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Al(D),this._bearingSnap=J.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(J),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var O=this._el;this._listeners=[[O,\"touchstart\",{passive:!0}],[O,\"touchmove\",{passive:!1}],[O,\"touchend\",void 0],[O,\"touchcancel\",void 0],[O,\"mousedown\",void 0],[O,\"mousemove\",void 0],[O,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[O,\"mouseover\",void 0],[O,\"mouseout\",void 0],[O,\"dblclick\",void 0],[O,\"click\",void 0],[O,\"keydown\",{capture:!1}],[O,\"keyup\",void 0],[O,\"wheel\",{passive:!1}],[O,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var K=0,de=this._listeners;K<de.length;K+=1){var ne=de[K],we=ne[0],Oe=ne[1],ht=ne[2];o.addEventListener(we,Oe,we===i.window.document?this.handleWindowEvent:this.handleEvent,ht)}};Si.prototype.destroy=function(){for(var D=0,J=this._listeners;D<J.length;D+=1){var O=J[D],K=O[0],de=O[1],ne=O[2];o.removeEventListener(K,de,K===i.window.document?this.handleWindowEvent:this.handleEvent,ne)}},Si.prototype._addDefaultHandlers=function(D){var J=this._map,O=J.getCanvasContainer();this._add(\"mapEvent\",new Ve(J,D));var K=J.boxZoom=new Pt(J,D);this._add(\"boxZoom\",K);var de=new xi,ne=new Ot;J.doubleClickZoom=new bt(ne,de),this._add(\"tapZoom\",de),this._add(\"clickZoom\",ne);var we=new Lr;this._add(\"tapDragZoom\",we);var Oe=J.touchPitch=new ja;this._add(\"touchPitch\",Oe);var ht=new Pn(D),Yt=new kn(D);J.dragRotate=new Or(D,ht,Yt),this._add(\"mouseRotate\",ht,[\"mousePitch\"]),this._add(\"mousePitch\",Yt,[\"mouseRotate\"]);var cr=new Qr(D),Nt=new Bn(D);J.dragPan=new Vr(O,cr,Nt),this._add(\"mousePan\",cr),this._add(\"touchPan\",Nt,[\"touchZoom\",\"touchRotate\"]);var Ne=new Ms,$e=new Da;J.touchZoomRotate=new Nr(O,$e,Ne,we),this._add(\"touchRotate\",Ne,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",$e,[\"touchPan\",\"touchRotate\"]);var st=J.scrollZoom=new Me(J,this);this._add(\"scrollZoom\",st,[\"mousePan\"]);var It=J.keyboard=new Uo;this._add(\"keyboard\",It),this._add(\"blockableMapEvent\",new Ye(J));for(var Bt=0,Ft=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];Bt<Ft.length;Bt+=1){var Ut=Ft[Bt];D.interactive&&D[Ut]&&J[Ut].enable(D[Ut])}},Si.prototype._add=function(D,J,O){this._handlers.push({handlerName:D,handler:J,allowed:O}),this._handlersById[D]=J},Si.prototype.stop=function(D){if(!this._updatingCamera){for(var J=0,O=this._handlers;J<O.length;J+=1){var K=O[J],de=K.handler;de.reset()}this._inertia.clear(),this._fireEvents({},{},D),this._changes=[]}},Si.prototype.isActive=function(){for(var D=0,J=this._handlers;D<J.length;D+=1){var O=J[D],K=O.handler;if(K.isActive())return!0}return!1},Si.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Si.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Si.prototype.isMoving=function(){return!!vi(this._eventsInProgress)||this.isZooming()},Si.prototype._blockedByActive=function(D,J,O){for(var K in D)if(K!==O&&(!J||J.indexOf(K)<0))return!0;return!1},Si.prototype.handleWindowEvent=function(D){this.handleEvent(D,D.type+\"Window\")},Si.prototype._getMapTouches=function(D){for(var J=[],O=0,K=D;O<K.length;O+=1){var de=K[O],ne=de.target;this._el.contains(ne)&&J.push(de)}return J},Si.prototype.handleEvent=function(D,J){if(D.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var O=D.type===\"renderFrame\"?void 0:D,K={needsRenderFrame:!1},de={},ne={},we=D.touches?this._getMapTouches(D.touches):void 0,Oe=we?o.touchPos(this._el,we):o.mousePos(this._el,D),ht=0,Yt=this._handlers;ht<Yt.length;ht+=1){var cr=Yt[ht],Nt=cr.handlerName,Ne=cr.handler,$e=cr.allowed;if(Ne.isEnabled()){var st=void 0;this._blockedByActive(ne,$e,Nt)?Ne.reset():Ne[J||D.type]&&(st=Ne[J||D.type](D,Oe,we),this.mergeHandlerResult(K,de,st,Nt,O),st&&st.needsRenderFrame&&this._triggerRenderFrame()),(st||Ne.isActive())&&(ne[Nt]=Ne)}}var It={};for(var Bt in this._previousActiveHandlers)ne[Bt]||(It[Bt]=O);this._previousActiveHandlers=ne,(Object.keys(It).length||qi(K))&&(this._changes.push([K,de,It]),this._triggerRenderFrame()),(Object.keys(ne).length||qi(K))&&this._map._stop(!0),this._updatingCamera=!1;var Ft=K.cameraAnimation;Ft&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],Ft(this._map))},Si.prototype.mergeHandlerResult=function(D,J,O,K,de){if(O){i.extend(D,O);var ne={handlerName:K,originalEvent:O.originalEvent||de};O.zoomDelta!==void 0&&(J.zoom=ne),O.panDelta!==void 0&&(J.drag=ne),O.pitchDelta!==void 0&&(J.pitch=ne),O.bearingDelta!==void 0&&(J.rotate=ne)}},Si.prototype._applyChanges=function(){for(var D={},J={},O={},K=0,de=this._changes;K<de.length;K+=1){var ne=de[K],we=ne[0],Oe=ne[1],ht=ne[2];we.panDelta&&(D.panDelta=(D.panDelta||new i.Point(0,0))._add(we.panDelta)),we.zoomDelta&&(D.zoomDelta=(D.zoomDelta||0)+we.zoomDelta),we.bearingDelta&&(D.bearingDelta=(D.bearingDelta||0)+we.bearingDelta),we.pitchDelta&&(D.pitchDelta=(D.pitchDelta||0)+we.pitchDelta),we.around!==void 0&&(D.around=we.around),we.pinchAround!==void 0&&(D.pinchAround=we.pinchAround),we.noInertia&&(D.noInertia=we.noInertia),i.extend(J,Oe),i.extend(O,ht)}this._updateMapTransform(D,J,O),this._changes=[]},Si.prototype._updateMapTransform=function(D,J,O){var K=this._map,de=K.transform;if(!qi(D))return this._fireEvents(J,O,!0);var ne=D.panDelta,we=D.zoomDelta,Oe=D.bearingDelta,ht=D.pitchDelta,Yt=D.around,cr=D.pinchAround;cr!==void 0&&(Yt=cr),K._stop(!0),Yt=Yt||K.transform.centerPoint;var Nt=de.pointLocation(ne?Yt.sub(ne):Yt);Oe&&(de.bearing+=Oe),ht&&(de.pitch+=ht),we&&(de.zoom+=we),de.setLocationAtPoint(Nt,Yt),this._map._update(),D.noInertia||this._inertia.record(D),this._fireEvents(J,O,!0)},Si.prototype._fireEvents=function(D,J,O){var K=this,de=vi(this._eventsInProgress),ne=vi(D),we={};for(var Oe in D){var ht=D[Oe],Yt=ht.originalEvent;this._eventsInProgress[Oe]||(we[Oe+\"start\"]=Yt),this._eventsInProgress[Oe]=D[Oe]}!de&&ne&&this._fireEvent(\"movestart\",ne.originalEvent);for(var cr in we)this._fireEvent(cr,we[cr]);ne&&this._fireEvent(\"move\",ne.originalEvent);for(var Nt in D){var Ne=D[Nt],$e=Ne.originalEvent;this._fireEvent(Nt,$e)}var st={},It;for(var Bt in this._eventsInProgress){var Ft=this._eventsInProgress[Bt],Ut=Ft.handlerName,zt=Ft.originalEvent;this._handlersById[Ut].isActive()||(delete this._eventsInProgress[Bt],It=J[Ut]||zt,st[Bt+\"end\"]=It)}for(var _t in st)this._fireEvent(_t,st[_t]);var Dt=vi(this._eventsInProgress);if(O&&(de||ne)&&!Dt){this._updatingCamera=!0;var vt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),lr=function(_r){return _r!==0&&-K._bearingSnap<_r&&_r<K._bearingSnap};vt?(lr(vt.bearing||this._map.getBearing())&&(vt.bearing=0),this._map.easeTo(vt,{originalEvent:It})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:It})),lr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Si.prototype._fireEvent=function(D,J){this._map.fire(new i.Event(D,J?{originalEvent:J}:{}))},Si.prototype._requestFrame=function(){var D=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(J){delete D._frameId,D.handleEvent(new Ni(\"renderFrame\",{timeStamp:J})),D._applyChanges()})},Si.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var Vn=(function(Y){function D(J,O){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=J,this._bearingSnap=O.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},D.prototype.setCenter=function(O,K){return this.jumpTo({center:O},K)},D.prototype.panBy=function(O,K,de){return O=i.Point.convert(O).mult(-1),this.panTo(this.transform.center,i.extend({offset:O},K),de)},D.prototype.panTo=function(O,K,de){return this.easeTo(i.extend({center:O},K),de)},D.prototype.getZoom=function(){return this.transform.zoom},D.prototype.setZoom=function(O,K){return this.jumpTo({zoom:O},K),this},D.prototype.zoomTo=function(O,K,de){return this.easeTo(i.extend({zoom:O},K),de)},D.prototype.zoomIn=function(O,K){return this.zoomTo(this.getZoom()+1,O,K),this},D.prototype.zoomOut=function(O,K){return this.zoomTo(this.getZoom()-1,O,K),this},D.prototype.getBearing=function(){return this.transform.bearing},D.prototype.setBearing=function(O,K){return this.jumpTo({bearing:O},K),this},D.prototype.getPadding=function(){return this.transform.padding},D.prototype.setPadding=function(O,K){return this.jumpTo({padding:O},K),this},D.prototype.rotateTo=function(O,K,de){return this.easeTo(i.extend({bearing:O},K),de)},D.prototype.resetNorth=function(O,K){return this.rotateTo(0,i.extend({duration:1e3},O),K),this},D.prototype.resetNorthPitch=function(O,K){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},O),K),this},D.prototype.snapToNorth=function(O,K){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(O,K):this},D.prototype.getPitch=function(){return this.transform.pitch},D.prototype.setPitch=function(O,K){return this.jumpTo({pitch:O},K),this},D.prototype.cameraForBounds=function(O,K){O=i.LngLatBounds.convert(O);var de=K&&K.bearing||0;return this._cameraForBoxAndBearing(O.getNorthWest(),O.getSouthEast(),de,K)},D.prototype._cameraForBoxAndBearing=function(O,K,de,ne){var we={top:0,bottom:0,right:0,left:0};if(ne=i.extend({padding:we,offset:[0,0],maxZoom:this.transform.maxZoom},ne),typeof ne.padding==\"number\"){var Oe=ne.padding;ne.padding={top:Oe,bottom:Oe,right:Oe,left:Oe}}ne.padding=i.extend(we,ne.padding);var ht=this.transform,Yt=ht.padding,cr=ht.project(i.LngLat.convert(O)),Nt=ht.project(i.LngLat.convert(K)),Ne=cr.rotate(-de*Math.PI/180),$e=Nt.rotate(-de*Math.PI/180),st=new i.Point(Math.max(Ne.x,$e.x),Math.max(Ne.y,$e.y)),It=new i.Point(Math.min(Ne.x,$e.x),Math.min(Ne.y,$e.y)),Bt=st.sub(It),Ft=(ht.width-(Yt.left+Yt.right+ne.padding.left+ne.padding.right))/Bt.x,Ut=(ht.height-(Yt.top+Yt.bottom+ne.padding.top+ne.padding.bottom))/Bt.y;if(Ut<0||Ft<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var zt=Math.min(ht.scaleZoom(ht.scale*Math.min(Ft,Ut)),ne.maxZoom),_t=typeof ne.offset.x==\"number\"?new i.Point(ne.offset.x,ne.offset.y):i.Point.convert(ne.offset),Dt=(ne.padding.left-ne.padding.right)/2,vt=(ne.padding.top-ne.padding.bottom)/2,lr=new i.Point(Dt,vt),_r=lr.rotate(de*Math.PI/180),Br=_t.add(_r),Di=Br.mult(ht.scale/ht.zoomScale(zt)),ci=ht.unproject(cr.add(Nt).div(2).sub(Di));return{center:ci,zoom:zt,bearing:de}},D.prototype.fitBounds=function(O,K,de){return this._fitInternal(this.cameraForBounds(O,K),K,de)},D.prototype.fitScreenCoordinates=function(O,K,de,ne,we){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(O)),this.transform.pointLocation(i.Point.convert(K)),de,ne),ne,we)},D.prototype._fitInternal=function(O,K,de){return O?(K=i.extend(O,K),delete K.padding,K.linear?this.easeTo(K,de):this.flyTo(K,de)):this},D.prototype.jumpTo=function(O,K){this.stop();var de=this.transform,ne=!1,we=!1,Oe=!1;return\"zoom\"in O&&de.zoom!==+O.zoom&&(ne=!0,de.zoom=+O.zoom),O.center!==void 0&&(de.center=i.LngLat.convert(O.center)),\"bearing\"in O&&de.bearing!==+O.bearing&&(we=!0,de.bearing=+O.bearing),\"pitch\"in O&&de.pitch!==+O.pitch&&(Oe=!0,de.pitch=+O.pitch),O.padding!=null&&!de.isPaddingEqual(O.padding)&&(de.padding=O.padding),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K)),ne&&this.fire(new i.Event(\"zoomstart\",K)).fire(new i.Event(\"zoom\",K)).fire(new i.Event(\"zoomend\",K)),we&&this.fire(new i.Event(\"rotatestart\",K)).fire(new i.Event(\"rotate\",K)).fire(new i.Event(\"rotateend\",K)),Oe&&this.fire(new i.Event(\"pitchstart\",K)).fire(new i.Event(\"pitch\",K)).fire(new i.Event(\"pitchend\",K)),this.fire(new i.Event(\"moveend\",K))},D.prototype.easeTo=function(O,K){var de=this;this._stop(!1,O.easeId),O=i.extend({offset:[0,0],duration:500,easing:i.ease},O),(O.animate===!1||!O.essential&&i.browser.prefersReducedMotion)&&(O.duration=0);var ne=this.transform,we=this.getZoom(),Oe=this.getBearing(),ht=this.getPitch(),Yt=this.getPadding(),cr=\"zoom\"in O?+O.zoom:we,Nt=\"bearing\"in O?this._normalizeBearing(O.bearing,Oe):Oe,Ne=\"pitch\"in O?+O.pitch:ht,$e=\"padding\"in O?O.padding:ne.padding,st=i.Point.convert(O.offset),It=ne.centerPoint.add(st),Bt=ne.pointLocation(It),Ft=i.LngLat.convert(O.center||Bt);this._normalizeCenter(Ft);var Ut=ne.project(Bt),zt=ne.project(Ft).sub(Ut),_t=ne.zoomScale(cr-we),Dt,vt;O.around&&(Dt=i.LngLat.convert(O.around),vt=ne.locationPoint(Dt));var lr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||cr!==we,this._rotating=this._rotating||Oe!==Nt,this._pitching=this._pitching||Ne!==ht,this._padding=!ne.isPaddingEqual($e),this._easeId=O.easeId,this._prepareEase(K,O.noMoveStart,lr),this._ease(function(_r){if(de._zooming&&(ne.zoom=i.number(we,cr,_r)),de._rotating&&(ne.bearing=i.number(Oe,Nt,_r)),de._pitching&&(ne.pitch=i.number(ht,Ne,_r)),de._padding&&(ne.interpolatePadding(Yt,$e,_r),It=ne.centerPoint.add(st)),Dt)ne.setLocationAtPoint(Dt,vt);else{var Br=ne.zoomScale(ne.zoom-we),Di=cr>we?Math.min(2,_t):Math.max(.5,_t),ci=Math.pow(Di,1-_r),bi=ne.unproject(Ut.add(zt.mult(_r*ci)).mult(Br));ne.setLocationAtPoint(ne.renderWorldCopies?bi.wrap():bi,It)}de._fireMoveEvents(K)},function(_r){de._afterEase(K,_r)},O),this},D.prototype._prepareEase=function(O,K,de){de===void 0&&(de={}),this._moving=!0,!K&&!de.moving&&this.fire(new i.Event(\"movestart\",O)),this._zooming&&!de.zooming&&this.fire(new i.Event(\"zoomstart\",O)),this._rotating&&!de.rotating&&this.fire(new i.Event(\"rotatestart\",O)),this._pitching&&!de.pitching&&this.fire(new i.Event(\"pitchstart\",O))},D.prototype._fireMoveEvents=function(O){this.fire(new i.Event(\"move\",O)),this._zooming&&this.fire(new i.Event(\"zoom\",O)),this._rotating&&this.fire(new i.Event(\"rotate\",O)),this._pitching&&this.fire(new i.Event(\"pitch\",O))},D.prototype._afterEase=function(O,K){if(!(this._easeId&&K&&this._easeId===K)){delete this._easeId;var de=this._zooming,ne=this._rotating,we=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,de&&this.fire(new i.Event(\"zoomend\",O)),ne&&this.fire(new i.Event(\"rotateend\",O)),we&&this.fire(new i.Event(\"pitchend\",O)),this.fire(new i.Event(\"moveend\",O))}},D.prototype.flyTo=function(O,K){var de=this;if(!O.essential&&i.browser.prefersReducedMotion){var ne=i.pick(O,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(ne,K)}this.stop(),O=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},O);var we=this.transform,Oe=this.getZoom(),ht=this.getBearing(),Yt=this.getPitch(),cr=this.getPadding(),Nt=\"zoom\"in O?i.clamp(+O.zoom,we.minZoom,we.maxZoom):Oe,Ne=\"bearing\"in O?this._normalizeBearing(O.bearing,ht):ht,$e=\"pitch\"in O?+O.pitch:Yt,st=\"padding\"in O?O.padding:we.padding,It=we.zoomScale(Nt-Oe),Bt=i.Point.convert(O.offset),Ft=we.centerPoint.add(Bt),Ut=we.pointLocation(Ft),zt=i.LngLat.convert(O.center||Ut);this._normalizeCenter(zt);var _t=we.project(Ut),Dt=we.project(zt).sub(_t),vt=O.curve,lr=Math.max(we.width,we.height),_r=lr/It,Br=Dt.mag();if(\"minZoom\"in O){var Di=i.clamp(Math.min(O.minZoom,Oe,Nt),we.minZoom,we.maxZoom),ci=lr/we.zoomScale(Di-Oe);vt=Math.sqrt(ci/Br*2)}var bi=vt*vt;function gn(so){var Yo=(_r*_r-lr*lr+(so?-1:1)*bi*bi*Br*Br)/(2*(so?_r:lr)*bi*Br);return Math.log(Math.sqrt(Yo*Yo+1)-Yo)}function tn(so){return(Math.exp(so)-Math.exp(-so))/2}function Ei(so){return(Math.exp(so)+Math.exp(-so))/2}function Oi(so){return tn(so)/Ei(so)}var Gi=gn(0),on=function(so){return Ei(Gi)/Ei(Gi+vt*so)},zn=function(so){return lr*((Ei(Gi)*Oi(Gi+vt*so)-tn(Gi))/bi)/Br},Ja=(gn(1)-Gi)/vt;if(Math.abs(Br)<1e-6||!isFinite(Ja)){if(Math.abs(lr-_r)<1e-6)return this.easeTo(O,K);var co=_r<lr?-1:1;Ja=Math.abs(Math.log(_r/lr))/vt,zn=function(){return 0},on=function(so){return Math.exp(co*vt*so)}}if(\"duration\"in O)O.duration=+O.duration;else{var ts=\"screenSpeed\"in O?+O.screenSpeed/vt:+O.speed;O.duration=1e3*Ja/ts}return O.maxDuration&&O.duration>O.maxDuration&&(O.duration=0),this._zooming=!0,this._rotating=ht!==Ne,this._pitching=$e!==Yt,this._padding=!we.isPaddingEqual(st),this._prepareEase(K,!1),this._ease(function(so){var Yo=so*Ja,ms=1/on(Yo);we.zoom=so===1?Nt:Oe+we.scaleZoom(ms),de._rotating&&(we.bearing=i.number(ht,Ne,so)),de._pitching&&(we.pitch=i.number(Yt,$e,so)),de._padding&&(we.interpolatePadding(cr,st,so),Ft=we.centerPoint.add(Bt));var ou=so===1?zt:we.unproject(_t.add(Dt.mult(zn(Yo))).mult(ms));we.setLocationAtPoint(we.renderWorldCopies?ou.wrap():ou,Ft),de._fireMoveEvents(K)},function(){return de._afterEase(K)},O),this},D.prototype.isEasing=function(){return!!this._easeFrameId},D.prototype.stop=function(){return this._stop()},D.prototype._stop=function(O,K){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var de=this._onEaseEnd;delete this._onEaseEnd,de.call(this,K)}if(!O){var ne=this.handlers;ne&&ne.stop(!1)}return this},D.prototype._ease=function(O,K,de){de.animate===!1||de.duration===0?(O(1),K()):(this._easeStart=i.browser.now(),this._easeOptions=de,this._onEaseFrame=O,this._onEaseEnd=K,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},D.prototype._renderFrameCallback=function(){var O=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(O)),O<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},D.prototype._normalizeBearing=function(O,K){O=i.wrap(O,-180,180);var de=Math.abs(O-K);return Math.abs(O-360-K)<de&&(O-=360),Math.abs(O+360-K)<de&&(O+=360),O},D.prototype._normalizeCenter=function(O){var K=this.transform;if(!(!K.renderWorldCopies||K.lngRange)){var de=O.lng-K.center.lng;O.lng+=de>180?-360:de<-180?360:0}},D})(i.Evented),Qi=function(D){D===void 0&&(D={}),this.options=D,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Qi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Qi.prototype.onAdd=function(D){var J=this.options&&this.options.compact;return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),J&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),J===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Qi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Qi.prototype._setElementTitle=function(D,J){var O=this._map._getUIString(\"AttributionControl.\"+J);D.title=O,D.setAttribute(\"aria-label\",O)},Qi.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Qi.prototype._updateEditLink=function(){var D=this._editLink;D||(D=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var J=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(D){var O=J.reduce(function(K,de,ne){return de.value&&(K+=de.key+\"=\"+de.value+(ne<J.length-1?\"&\":\"\")),K},\"?\");D.href=i.config.FEEDBACK_URL+\"/\"+O+(this._map._hash?this._map._hash.getHashString(!0):\"\"),D.rel=\"noopener nofollow\",this._setElementTitle(D,\"MapFeedback\")}},Qi.prototype._updateData=function(D){D&&(D.sourceDataType===\"metadata\"||D.sourceDataType===\"visibility\"||D.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Qi.prototype._updateAttributions=function(){if(this._map.style){var D=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?D=D.concat(this.options.customAttribution.map(function(Oe){return typeof Oe!=\"string\"?\"\":Oe})):typeof this.options.customAttribution==\"string\"&&D.push(this.options.customAttribution)),this._map.style.stylesheet){var J=this._map.style.stylesheet;this.styleOwner=J.owner,this.styleId=J.id}var O=this._map.style.sourceCaches;for(var K in O){var de=O[K];if(de.used){var ne=de.getSource();ne.attribution&&D.indexOf(ne.attribution)<0&&D.push(ne.attribution)}}D.sort(function(Oe,ht){return Oe.length-ht.length}),D=D.filter(function(Oe,ht){for(var Yt=ht+1;Yt<D.length;Yt++)if(D[Yt].indexOf(Oe)>=0)return!1;return!0});var we=D.join(\" | \");we!==this._attribHTML&&(this._attribHTML=we,D.length?(this._innerContainer.innerHTML=we,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Qi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Wi=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Wi.prototype.onAdd=function(D){this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var J=o.create(\"a\",\"mapboxgl-ctrl-logo\");return J.target=\"_blank\",J.rel=\"noopener nofollow\",J.href=\"https://www.mapbox.com/\",J.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),J.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(J),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Wi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Wi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wi.prototype._updateLogo=function(D){(!D||D.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Wi.prototype._logoRequired=function(){if(this._map.style){var D=this._map.style.sourceCaches;for(var J in D){var O=D[J].getSource();if(O.mapbox_logo)return!0}return!1}},Wi.prototype._updateCompact=function(){var D=this._container.children;if(D.length){var J=D[0];this._map.getCanvasContainer().offsetWidth<250?J.classList.add(\"mapboxgl-compact\"):J.classList.remove(\"mapboxgl-compact\")}};var oi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};oi.prototype.add=function(D){var J=++this._id,O=this._queue;return O.push({callback:D,id:J,cancelled:!1}),J},oi.prototype.remove=function(D){for(var J=this._currentlyRunning,O=J?this._queue.concat(J):this._queue,K=0,de=O;K<de.length;K+=1){var ne=de[K];if(ne.id===D){ne.cancelled=!0;return}}},oi.prototype.run=function(D){D===void 0&&(D=0);var J=this._currentlyRunning=this._queue;this._queue=[];for(var O=0,K=J;O<K.length;O+=1){var de=K[O];if(!de.cancelled&&(de.callback(D),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},oi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Tr={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Zr=i.window.HTMLImageElement,yi=i.window.HTMLElement,Ii=i.window.ImageBitmap,ui=-2,nn=22,Zi=0,qn=60,fi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:ui,maxZoom:nn,minPitch:Zi,maxPitch:qn,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},si=(function(Y){function D(O){var K=this;if(O=i.extend({},fi,O),O.minZoom!=null&&O.maxZoom!=null&&O.minZoom>O.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(O.minPitch!=null&&O.maxPitch!=null&&O.minPitch>O.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(O.minPitch!=null&&O.minPitch<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(O.maxPitch!=null&&O.maxPitch>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);var de=new wo(O.minZoom,O.maxZoom,O.minPitch,O.maxPitch,O.renderWorldCopies);if(Y.call(this,de,O),this._interactive=O.interactive,this._maxTileCacheSize=O.maxTileCacheSize,this._failIfMajorPerformanceCaveat=O.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=O.preserveDrawingBuffer,this._antialias=O.antialias,this._trackResize=O.trackResize,this._bearingSnap=O.bearingSnap,this._refreshExpiredTiles=O.refreshExpiredTiles,this._fadeDuration=O.fadeDuration,this._crossSourceCollisions=O.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=O.collectResourceTiming,this._renderTaskQueue=new oi,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Tr,O.locale),this._clickTolerance=O.clickTolerance,this._requestManager=new i.RequestManager(O.transformRequest,O.accessToken),typeof O.container==\"string\"){if(this._container=i.window.document.getElementById(O.container),!this._container)throw new Error(\"Container '\"+O.container+\"' not found.\")}else if(O.container instanceof yi)this._container=O.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(O.maxBounds&&this.setMaxBounds(O.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return K._update(!1)}),this.on(\"moveend\",function(){return K._update(!1)}),this.on(\"zoom\",function(){return K._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Si(this,O);var ne=typeof O.hash==\"string\"&&O.hash||void 0;this._hash=O.hash&&new Nl(ne).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:O.center,zoom:O.zoom,bearing:O.bearing,pitch:O.pitch}),O.bounds&&(this.resize(),this.fitBounds(O.bounds,i.extend({},O.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=O.localIdeographFontFamily,O.style&&this.setStyle(O.style,{localIdeographFontFamily:O.localIdeographFontFamily}),O.attributionControl&&this.addControl(new Qi({customAttribution:O.customAttribution})),this.addControl(new Wi,O.logoPosition),this.on(\"style.load\",function(){K.transform.unmodified&&K.jumpTo(K.style.stylesheet)}),this.on(\"data\",function(we){K._update(we.dataType===\"style\"),K.fire(new i.Event(we.dataType+\"data\",we))}),this.on(\"dataloading\",function(we){K.fire(new i.Event(we.dataType+\"dataloading\",we))})}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return D.prototype._getMapId=function(){return this._mapId},D.prototype.addControl=function(K,de){if(de===void 0&&(K.getDefaultPosition?de=K.getDefaultPosition():de=\"top-right\"),!K||!K.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var ne=K.onAdd(this);this._controls.push(K);var we=this._controlPositions[de];return de.indexOf(\"bottom\")!==-1?we.insertBefore(ne,we.firstChild):we.appendChild(ne),this},D.prototype.removeControl=function(K){if(!K||!K.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=this._controls.indexOf(K);return de>-1&&this._controls.splice(de,1),K.onRemove(this),this},D.prototype.hasControl=function(K){return this._controls.indexOf(K)>-1},D.prototype.resize=function(K){var de=this._containerDimensions(),ne=de[0],we=de[1];this._resizeCanvas(ne,we),this.transform.resize(ne,we),this.painter.resize(ne,we);var Oe=!this._moving;return Oe&&(this.stop(),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K))),this.fire(new i.Event(\"resize\",K)),Oe&&this.fire(new i.Event(\"moveend\",K)),this},D.prototype.getBounds=function(){return this.transform.getBounds()},D.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},D.prototype.setMaxBounds=function(K){return this.transform.setMaxBounds(i.LngLatBounds.convert(K)),this._update()},D.prototype.setMinZoom=function(K){if(K=K==null?ui:K,K>=ui&&K<=this.transform.maxZoom)return this.transform.minZoom=K,this._update(),this.getZoom()<K&&this.setZoom(K),this;throw new Error(\"minZoom must be between \"+ui+\" and the current maxZoom, inclusive\")},D.prototype.getMinZoom=function(){return this.transform.minZoom},D.prototype.setMaxZoom=function(K){if(K=K==null?nn:K,K>=this.transform.minZoom)return this.transform.maxZoom=K,this._update(),this.getZoom()>K&&this.setZoom(K),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},D.prototype.getMaxZoom=function(){return this.transform.maxZoom},D.prototype.setMinPitch=function(K){if(K=K==null?Zi:K,K<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(K>=Zi&&K<=this.transform.maxPitch)return this.transform.minPitch=K,this._update(),this.getPitch()<K&&this.setPitch(K),this;throw new Error(\"minPitch must be between \"+Zi+\" and the current maxPitch, inclusive\")},D.prototype.getMinPitch=function(){return this.transform.minPitch},D.prototype.setMaxPitch=function(K){if(K=K==null?qn:K,K>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);if(K>=this.transform.minPitch)return this.transform.maxPitch=K,this._update(),this.getPitch()>K&&this.setPitch(K),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},D.prototype.getMaxPitch=function(){return this.transform.maxPitch},D.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},D.prototype.setRenderWorldCopies=function(K){return this.transform.renderWorldCopies=K,this._update()},D.prototype.project=function(K){return this.transform.locationPoint(i.LngLat.convert(K))},D.prototype.unproject=function(K){return this.transform.pointLocation(i.Point.convert(K))},D.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},D.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},D.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},D.prototype._createDelegatedListener=function(K,de,ne){var we=this,Oe;if(K===\"mouseenter\"||K===\"mouseover\"){var ht=!1,Yt=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length?ht||(ht=!0,ne.call(we,new se(K,we,It.originalEvent,{features:Bt}))):ht=!1},cr=function(){ht=!1};return{layer:de,listener:ne,delegates:{mousemove:Yt,mouseout:cr}}}else if(K===\"mouseleave\"||K===\"mouseout\"){var Nt=!1,Ne=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length?Nt=!0:Nt&&(Nt=!1,ne.call(we,new se(K,we,It.originalEvent)))},$e=function(It){Nt&&(Nt=!1,ne.call(we,new se(K,we,It.originalEvent)))};return{layer:de,listener:ne,delegates:{mousemove:Ne,mouseout:$e}}}else{var st=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length&&(It.features=Bt,ne.call(we,It),delete It.features)};return{layer:de,listener:ne,delegates:(Oe={},Oe[K]=st,Oe)}}},D.prototype.on=function(K,de,ne){if(ne===void 0)return Y.prototype.on.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[K]=this._delegatedListeners[K]||[],this._delegatedListeners[K].push(we);for(var Oe in we.delegates)this.on(Oe,we.delegates[Oe]);return this},D.prototype.once=function(K,de,ne){if(ne===void 0)return Y.prototype.once.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);for(var Oe in we.delegates)this.once(Oe,we.delegates[Oe]);return this},D.prototype.off=function(K,de,ne){var we=this;if(ne===void 0)return Y.prototype.off.call(this,K,de);var Oe=function(ht){for(var Yt=ht[K],cr=0;cr<Yt.length;cr++){var Nt=Yt[cr];if(Nt.layer===de&&Nt.listener===ne){for(var Ne in Nt.delegates)we.off(Ne,Nt.delegates[Ne]);return Yt.splice(cr,1),we}}};return this._delegatedListeners&&this._delegatedListeners[K]&&Oe(this._delegatedListeners),this},D.prototype.queryRenderedFeatures=function(K,de){if(!this.style)return[];de===void 0&&K!==void 0&&!(K instanceof i.Point)&&!Array.isArray(K)&&(de=K,K=void 0),de=de||{},K=K||[[0,0],[this.transform.width,this.transform.height]];var ne;if(K instanceof i.Point||typeof K[0]==\"number\")ne=[i.Point.convert(K)];else{var we=i.Point.convert(K[0]),Oe=i.Point.convert(K[1]);ne=[we,new i.Point(Oe.x,we.y),Oe,new i.Point(we.x,Oe.y),we]}return this.style.queryRenderedFeatures(ne,de,this.transform)},D.prototype.querySourceFeatures=function(K,de){return this.style.querySourceFeatures(K,de)},D.prototype.setStyle=function(K,de){return de=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},de),de.diff!==!1&&de.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&K?(this._diffStyle(K,de),this):(this._localIdeographFontFamily=de.localIdeographFontFamily,this._updateStyle(K,de))},D.prototype._getUIString=function(K){var de=this._locale[K];if(de==null)throw new Error(\"Missing UI string '\"+K+\"'\");return de},D.prototype._updateStyle=function(K,de){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),K)this.style=new yu(this,de||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof K==\"string\"?this.style.loadURL(K):this.style.loadJSON(K),this},D.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new yu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},D.prototype._diffStyle=function(K,de){var ne=this;if(typeof K==\"string\"){var we=this._requestManager.normalizeStyleURL(K),Oe=this._requestManager.transformRequest(we,i.ResourceType.Style);i.getJSON(Oe,function(ht,Yt){ht?ne.fire(new i.ErrorEvent(ht)):Yt&&ne._updateDiff(Yt,de)})}else typeof K==\"object\"&&this._updateDiff(K,de)},D.prototype._updateDiff=function(K,de){try{this.style.setState(K)&&this._update(!0)}catch(ne){i.warnOnce(\"Unable to perform style diff: \"+(ne.message||ne.error||ne)+\".  Rebuilding the style from scratch.\"),this._updateStyle(K,de)}},D.prototype.getStyle=function(){if(this.style)return this.style.serialize()},D.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},D.prototype.addSource=function(K,de){return this._lazyInitEmptyStyle(),this.style.addSource(K,de),this._update(!0)},D.prototype.isSourceLoaded=function(K){var de=this.style&&this.style.sourceCaches[K];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+K+\"'\")));return}return de.loaded()},D.prototype.areTilesLoaded=function(){var K=this.style&&this.style.sourceCaches;for(var de in K){var ne=K[de],we=ne._tiles;for(var Oe in we){var ht=we[Oe];if(!(ht.state===\"loaded\"||ht.state===\"errored\"))return!1}}return!0},D.prototype.addSourceType=function(K,de,ne){return this._lazyInitEmptyStyle(),this.style.addSourceType(K,de,ne)},D.prototype.removeSource=function(K){return this.style.removeSource(K),this._update(!0)},D.prototype.getSource=function(K){return this.style.getSource(K)},D.prototype.addImage=function(K,de,ne){ne===void 0&&(ne={});var we=ne.pixelRatio;we===void 0&&(we=1);var Oe=ne.sdf;Oe===void 0&&(Oe=!1);var ht=ne.stretchX,Yt=ne.stretchY,cr=ne.content;this._lazyInitEmptyStyle();var Nt=0;if(de instanceof Zr||Ii&&de instanceof Ii){var Ne=i.browser.getImageData(de),$e=Ne.width,st=Ne.height,It=Ne.data;this.style.addImage(K,{data:new i.RGBAImage({width:$e,height:st},It),pixelRatio:we,stretchX:ht,stretchY:Yt,content:cr,sdf:Oe,version:Nt})}else{if(de.width===void 0||de.height===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var Bt=de.width,Ft=de.height,Ut=de.data,zt=de;this.style.addImage(K,{data:new i.RGBAImage({width:Bt,height:Ft},new Uint8Array(Ut)),pixelRatio:we,stretchX:ht,stretchY:Yt,content:cr,sdf:Oe,version:Nt,userImage:zt}),zt.onAdd&&zt.onAdd(this,K)}},D.prototype.updateImage=function(K,de){var ne=this.style.getImage(K);if(!ne)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var we=de instanceof Zr||Ii&&de instanceof Ii?i.browser.getImageData(de):de,Oe=we.width,ht=we.height,Yt=we.data;if(Oe===void 0||ht===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(Oe!==ne.data.width||ht!==ne.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var cr=!(de instanceof Zr||Ii&&de instanceof Ii);ne.data.replace(Yt,cr),this.style.updateImage(K,ne)},D.prototype.hasImage=function(K){return K?!!this.style.getImage(K):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},D.prototype.removeImage=function(K){this.style.removeImage(K)},D.prototype.loadImage=function(K,de){i.getImage(this._requestManager.transformRequest(K,i.ResourceType.Image),de)},D.prototype.listImages=function(){return this.style.listImages()},D.prototype.addLayer=function(K,de){return this._lazyInitEmptyStyle(),this.style.addLayer(K,de),this._update(!0)},D.prototype.moveLayer=function(K,de){return this.style.moveLayer(K,de),this._update(!0)},D.prototype.removeLayer=function(K){return this.style.removeLayer(K),this._update(!0)},D.prototype.getLayer=function(K){return this.style.getLayer(K)},D.prototype.setLayerZoomRange=function(K,de,ne){return this.style.setLayerZoomRange(K,de,ne),this._update(!0)},D.prototype.setFilter=function(K,de,ne){return ne===void 0&&(ne={}),this.style.setFilter(K,de,ne),this._update(!0)},D.prototype.getFilter=function(K){return this.style.getFilter(K)},D.prototype.setPaintProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setPaintProperty(K,de,ne,we),this._update(!0)},D.prototype.getPaintProperty=function(K,de){return this.style.getPaintProperty(K,de)},D.prototype.setLayoutProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setLayoutProperty(K,de,ne,we),this._update(!0)},D.prototype.getLayoutProperty=function(K,de){return this.style.getLayoutProperty(K,de)},D.prototype.setLight=function(K,de){return de===void 0&&(de={}),this._lazyInitEmptyStyle(),this.style.setLight(K,de),this._update(!0)},D.prototype.getLight=function(){return this.style.getLight()},D.prototype.setFeatureState=function(K,de){return this.style.setFeatureState(K,de),this._update()},D.prototype.removeFeatureState=function(K,de){return this.style.removeFeatureState(K,de),this._update()},D.prototype.getFeatureState=function(K){return this.style.getFeatureState(K)},D.prototype.getContainer=function(){return this._container},D.prototype.getCanvasContainer=function(){return this._canvasContainer},D.prototype.getCanvas=function(){return this._canvas},D.prototype._containerDimensions=function(){var K=0,de=0;return this._container&&(K=this._container.clientWidth||400,de=this._container.clientHeight||300),[K,de]},D.prototype._detectMissingCSS=function(){var K=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");K!==\"rgb(250, 128, 114)\"&&i.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},D.prototype._setupContainer=function(){var K=this._container;K.classList.add(\"mapboxgl-map\");var de=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",K);de.style.visibility=\"hidden\",this._detectMissingCSS();var ne=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",K);this._interactive&&ne.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",ne),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var we=this._containerDimensions();this._resizeCanvas(we[0],we[1]);var Oe=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",K),ht=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Yt){ht[Yt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Yt,Oe)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},D.prototype._resizeCanvas=function(K,de){var ne=i.browser.devicePixelRatio||1;this._canvas.width=ne*K,this._canvas.height=ne*de,this._canvas.style.width=K+\"px\",this._canvas.style.height=de+\"px\"},D.prototype._setupPainter=function(){var K=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),de=this._canvas.getContext(\"webgl\",K)||this._canvas.getContext(\"experimental-webgl\",K);if(!de){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new mo(de,this.transform),i.webpSupported.testSupport(de)},D.prototype._contextLost=function(K){K.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:K}))},D.prototype._contextRestored=function(K){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:K}))},D.prototype._onMapScroll=function(K){if(K.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},D.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},D.prototype._update=function(K){return this.style?(this._styleDirty=this._styleDirty||K,this._sourcesDirty=!0,this.triggerRepaint(),this):this},D.prototype._requestRenderFrame=function(K){return this._update(),this._renderTaskQueue.add(K)},D.prototype._cancelRenderFrame=function(K){this._renderTaskQueue.remove(K)},D.prototype._render=function(K){var de=this,ne,we=0,Oe=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(ne=Oe.createQueryEXT(),Oe.beginQueryEXT(Oe.TIME_ELAPSED_EXT,ne),we=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(K),!this._removed){var ht=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Yt=this.transform.zoom,cr=i.browser.now();this.style.zoomHistory.update(Yt,cr);var Nt=new i.EvaluationParameters(Yt,{now:cr,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ne=Nt.crossFadingFactor();(Ne!==1||Ne!==this._crossFadingFactor)&&(ht=!0,this._crossFadingFactor=Ne),this.style.update(Nt)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||ht)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var $e=i.browser.now()-we;Oe.endQueryEXT(Oe.TIME_ELAPSED_EXT,ne),setTimeout(function(){var Bt=Oe.getQueryObjectEXT(ne,Oe.QUERY_RESULT_EXT)/1e6;Oe.deleteQueryEXT(ne),de.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:$e,gpuTime:Bt}))},50)}if(this.listens(\"gpu-timing-layer\")){var st=this.painter.collectGpuTimers();setTimeout(function(){var Bt=de.painter.queryGpuTimers(st);de.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:Bt}))},50)}var It=this._sourcesDirty||this._styleDirty||this._placementDirty;return It||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!It&&(this._fullyLoaded=!0),this}},D.prototype.remove=function(){this._hash&&this._hash.remove();for(var K=0,de=this._controls;K<de.length;K+=1){var ne=de[K];ne.onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var we=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");we&&we.loseContext&&we.loseContext(),mn(this._canvasContainer),mn(this._controlContainer),mn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},D.prototype.triggerRepaint=function(){var K=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(de){K._frame=null,K._render(de)}))},D.prototype._onWindowOnline=function(){this._update()},D.prototype._onWindowResize=function(K){this._trackResize&&this.resize({originalEvent:K})._update()},J.showTileBoundaries.get=function(){return!!this._showTileBoundaries},J.showTileBoundaries.set=function(O){this._showTileBoundaries!==O&&(this._showTileBoundaries=O,this._update())},J.showPadding.get=function(){return!!this._showPadding},J.showPadding.set=function(O){this._showPadding!==O&&(this._showPadding=O,this._update())},J.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},J.showCollisionBoxes.set=function(O){this._showCollisionBoxes!==O&&(this._showCollisionBoxes=O,O?this.style._generateCollisionBoxes():this._update())},J.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},J.showOverdrawInspector.set=function(O){this._showOverdrawInspector!==O&&(this._showOverdrawInspector=O,this._update())},J.repaint.get=function(){return!!this._repaint},J.repaint.set=function(O){this._repaint!==O&&(this._repaint=O,this.triggerRepaint())},J.vertices.get=function(){return!!this._vertices},J.vertices.set=function(O){this._vertices=O,this._update()},D.prototype._setCacheLimits=function(K,de){i.setCacheLimits(K,de)},J.version.get=function(){return i.version},Object.defineProperties(D.prototype,J),D})(Vn);function mn(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var Ji={showCompass:!0,showZoom:!0,visualizePitch:!1},Ui=function(D){var J=this;this.options=i.extend({},Ji,D),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(O){return O.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(O){return J._map.zoomIn({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(O){return J._map.zoomOut({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(O){J.options.visualizePitch?J._map.resetNorthPitch({},{originalEvent:O}):J._map.resetNorth({},{originalEvent:O})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ui.prototype._updateZoomButtons=function(){var D=this._map.getZoom(),J=D===this._map.getMaxZoom(),O=D===this._map.getMinZoom();this._zoomInButton.disabled=J,this._zoomOutButton.disabled=O,this._zoomInButton.setAttribute(\"aria-disabled\",J.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",O.toString())},Ui.prototype._rotateCompassArrow=function(){var D=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=D},Ui.prototype.onAdd=function(D){return this._map=D,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Bi(this._map,this._compass,this.options.visualizePitch)),this._container},Ui.prototype.onRemove=function(){o.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ui.prototype._createButton=function(D,J){var O=o.create(\"button\",D,this._container);return O.type=\"button\",O.addEventListener(\"click\",J),O},Ui.prototype._setButtonTitle=function(D,J){var O=this._map._getUIString(\"NavigationControl.\"+J);D.title=O,D.setAttribute(\"aria-label\",O)};var Bi=function(D,J,O){O===void 0&&(O=!1),this._clickTolerance=10,this.element=J,this.mouseRotate=new Pn({clickTolerance:D.dragRotate._mouseRotate._clickTolerance}),this.map=D,O&&(this.mousePitch=new kn({clickTolerance:D.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(J,\"mousedown\",this.mousedown),o.addEventListener(J,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(J,\"touchmove\",this.touchmove),o.addEventListener(J,\"touchend\",this.touchend),o.addEventListener(J,\"touchcancel\",this.reset)};Bi.prototype.down=function(D,J){this.mouseRotate.mousedown(D,J),this.mousePitch&&this.mousePitch.mousedown(D,J),o.disableDrag()},Bi.prototype.move=function(D,J){var O=this.map,K=this.mouseRotate.mousemoveWindow(D,J);if(K&&K.bearingDelta&&O.setBearing(O.getBearing()+K.bearingDelta),this.mousePitch){var de=this.mousePitch.mousemoveWindow(D,J);de&&de.pitchDelta&&O.setPitch(O.getPitch()+de.pitchDelta)}},Bi.prototype.off=function(){var D=this.element;o.removeEventListener(D,\"mousedown\",this.mousedown),o.removeEventListener(D,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(D,\"touchmove\",this.touchmove),o.removeEventListener(D,\"touchend\",this.touchend),o.removeEventListener(D,\"touchcancel\",this.reset),this.offTemp()},Bi.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousedown=function(D){this.down(i.extend({},D,{ctrlKey:!0,preventDefault:function(){return D.preventDefault()}}),o.mousePos(this.element,D)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousemove=function(D){this.move(D,o.mousePos(this.element,D))},Bi.prototype.mouseup=function(D){this.mouseRotate.mouseupWindow(D),this.mousePitch&&this.mousePitch.mouseupWindow(D),this.offTemp()},Bi.prototype.touchstart=function(D){D.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return D.preventDefault()}},this._startPos))},Bi.prototype.touchmove=function(D){D.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.move({preventDefault:function(){return D.preventDefault()}},this._lastPos))},Bi.prototype.touchend=function(D){D.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Bi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function pn(Y,D,J){if(Y=new i.LngLat(Y.lng,Y.lat),D){var O=new i.LngLat(Y.lng-360,Y.lat),K=new i.LngLat(Y.lng+360,Y.lat),de=J.locationPoint(Y).distSqr(D);J.locationPoint(O).distSqr(D)<de?Y=O:J.locationPoint(K).distSqr(D)<de&&(Y=K)}for(;Math.abs(Y.lng-J.center.lng)>180;){var ne=J.locationPoint(Y);if(ne.x>=0&&ne.y>=0&&ne.x<=J.width&&ne.y<=J.height)break;Y.lng>J.center.lng?Y.lng-=360:Y.lng+=360}return Y}var Nn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function aa(Y,D,J){var O=Y.classList;for(var K in Nn)O.remove(\"mapboxgl-\"+J+\"-anchor-\"+K);O.add(\"mapboxgl-\"+J+\"-anchor-\"+D)}var Ki=(function(Y){function D(J,O){if(Y.call(this),(J instanceof i.window.HTMLElement||O)&&(J=i.extend({element:J},O)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=J&&J.anchor||\"center\",this._color=J&&J.color||\"#3FB1CE\",this._scale=J&&J.scale||1,this._draggable=J&&J.draggable||!1,this._clickTolerance=J&&J.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=J&&J.rotation||0,this._rotationAlignment=J&&J.rotationAlignment||\"auto\",this._pitchAlignment=J&&J.pitchAlignment&&J.pitchAlignment!==\"auto\"?J.pitchAlignment:this._rotationAlignment,!J||!J.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var K=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),de=41,ne=27;K.setAttributeNS(null,\"display\",\"block\"),K.setAttributeNS(null,\"height\",de+\"px\"),K.setAttributeNS(null,\"width\",ne+\"px\"),K.setAttributeNS(null,\"viewBox\",\"0 0 \"+ne+\" \"+de);var we=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");we.setAttributeNS(null,\"stroke\",\"none\"),we.setAttributeNS(null,\"stroke-width\",\"1\"),we.setAttributeNS(null,\"fill\",\"none\"),we.setAttributeNS(null,\"fill-rule\",\"evenodd\");var Oe=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Oe.setAttributeNS(null,\"fill-rule\",\"nonzero\");var ht=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");ht.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),ht.setAttributeNS(null,\"fill\",\"#000000\");for(var Yt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],cr=0,Nt=Yt;cr<Nt.length;cr+=1){var Ne=Nt[cr],$e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");$e.setAttributeNS(null,\"opacity\",\"0.04\"),$e.setAttributeNS(null,\"cx\",\"10.5\"),$e.setAttributeNS(null,\"cy\",\"5.80029008\"),$e.setAttributeNS(null,\"rx\",Ne.rx),$e.setAttributeNS(null,\"ry\",Ne.ry),ht.appendChild($e)}var st=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");st.setAttributeNS(null,\"fill\",this._color);var It=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");It.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),st.appendChild(It);var Bt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Bt.setAttributeNS(null,\"opacity\",\"0.25\"),Bt.setAttributeNS(null,\"fill\",\"#000000\");var Ft=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ft.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Bt.appendChild(Ft);var Ut=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ut.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Ut.setAttributeNS(null,\"fill\",\"#FFFFFF\");var zt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");zt.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var _t=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_t.setAttributeNS(null,\"fill\",\"#000000\"),_t.setAttributeNS(null,\"opacity\",\"0.25\"),_t.setAttributeNS(null,\"cx\",\"5.5\"),_t.setAttributeNS(null,\"cy\",\"5.5\"),_t.setAttributeNS(null,\"r\",\"5.4999962\");var Dt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Dt.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Dt.setAttributeNS(null,\"cx\",\"5.5\"),Dt.setAttributeNS(null,\"cy\",\"5.5\"),Dt.setAttributeNS(null,\"r\",\"5.4999962\"),zt.appendChild(_t),zt.appendChild(Dt),Oe.appendChild(ht),Oe.appendChild(st),Oe.appendChild(Bt),Oe.appendChild(Ut),Oe.appendChild(zt),K.appendChild(Oe),K.setAttributeNS(null,\"height\",de*this._scale+\"px\"),K.setAttributeNS(null,\"width\",ne*this._scale+\"px\"),this._element.appendChild(K),this._offset=i.Point.convert(J&&J.offset||[0,-14])}else this._element=J.element,this._offset=i.Point.convert(J&&J.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(vt){vt.preventDefault()}),this._element.addEventListener(\"mousedown\",function(vt){vt.preventDefault()}),aa(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(O){return this.remove(),this._map=O,O.getCanvasContainer().appendChild(this._element),O.on(\"move\",this._update),O.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},D.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},D.prototype.getElement=function(){return this._element},D.prototype.setPopup=function(O){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),O){if(!(\"offset\"in O.options)){var K=38.1,de=13.5,ne=Math.sqrt(Math.pow(de,2)/2);O.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-K],\"bottom-left\":[ne,(K-de+ne)*-1],\"bottom-right\":[-ne,(K-de+ne)*-1],left:[de,(K-de)*-1],right:[-de,(K-de)*-1]}:this._offset}this._popup=O,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},D.prototype._onKeyPress=function(O){var K=O.code,de=O.charCode||O.keyCode;(K===\"Space\"||K===\"Enter\"||de===32||de===13)&&this.togglePopup()},D.prototype._onMapClick=function(O){var K=O.originalEvent.target,de=this._element;this._popup&&(K===de||de.contains(K))&&this.togglePopup()},D.prototype.getPopup=function(){return this._popup},D.prototype.togglePopup=function(){var O=this._popup;if(O)O.isOpen()?O.remove():O.addTo(this._map);else return this;return this},D.prototype._update=function(O){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var K=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?K=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&(K=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var de=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?de=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(de=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!O||O.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,Nn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+de+\" \"+K)}},D.prototype.getOffset=function(){return this._offset},D.prototype.setOffset=function(O){return this._offset=i.Point.convert(O),this._update(),this},D.prototype._onMove=function(O){if(!this._isDragging){var K=this._clickTolerance||this._map._clickTolerance;this._isDragging=O.point.dist(this._pointerdownPos)>=K}this._isDragging&&(this._pos=O.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},D.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},D.prototype._addDragHandler=function(O){this._element.contains(O.originalEvent.target)&&(O.preventDefault(),this._positionDelta=O.point.sub(this._pos).add(this._offset),this._pointerdownPos=O.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},D.prototype.setDraggable=function(O){return this._draggable=!!O,this._map&&(O?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},D.prototype.isDraggable=function(){return this._draggable},D.prototype.setRotation=function(O){return this._rotation=O||0,this._update(),this},D.prototype.getRotation=function(){return this._rotation},D.prototype.setRotationAlignment=function(O){return this._rotationAlignment=O||\"auto\",this._update(),this},D.prototype.getRotationAlignment=function(){return this._rotationAlignment},D.prototype.setPitchAlignment=function(O){return this._pitchAlignment=O&&O!==\"auto\"?O:this._rotationAlignment,this._update(),this},D.prototype.getPitchAlignment=function(){return this._pitchAlignment},D})(i.Evented),Cn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},ia;function sa(Y){ia!==void 0?Y(ia):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(D){ia=D.state!==\"denied\",Y(ia)}):(ia=!!i.window.navigator.geolocation,Y(ia))}var ba=0,is=!1,Zs=(function(Y){function D(J){Y.call(this),this.options=i.extend({},Cn,J),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(O){return this._map=O,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),sa(this._setupUI),this._container},D.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,ba=0,is=!1},D.prototype._isOutOfMapMaxBounds=function(O){var K=this._map.getMaxBounds(),de=O.coords;return K&&(de.longitude<K.getWest()||de.longitude>K.getEast()||de.latitude<K.getSouth()||de.latitude>K.getNorth())},D.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},D.prototype._onSuccess=function(O){if(this._map){if(this._isOutOfMapMaxBounds(O)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",O)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=O,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(O),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(O),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",O)),this._finish()}},D.prototype._updateCamera=function(O){var K=new i.LngLat(O.coords.longitude,O.coords.latitude),de=O.coords.accuracy,ne=this._map.getBearing(),we=i.extend({bearing:ne},this.options.fitBoundsOptions);this._map.fitBounds(K.toBounds(de),we,{geolocateSource:!0})},D.prototype._updateMarker=function(O){if(O){var K=new i.LngLat(O.coords.longitude,O.coords.latitude);this._accuracyCircleMarker.setLngLat(K).addTo(this._map),this._userLocationDotMarker.setLngLat(K).addTo(this._map),this._accuracy=O.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},D.prototype._updateCircleRadius=function(){var O=this._map._container.clientHeight/2,K=this._map.unproject([0,O]),de=this._map.unproject([1,O]),ne=K.distanceTo(de),we=Math.ceil(2*this._accuracy/ne);this._circleElement.style.width=we+\"px\",this._circleElement.style.height=we+\"px\"},D.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},D.prototype._onError=function(O){if(this._map){if(this.options.trackUserLocation)if(O.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var K=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=K,this._geolocateButton.setAttribute(\"aria-label\",K),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(O.code===3&&is)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",O)),this._finish()}},D.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},D.prototype._setupUI=function(O){var K=this;if(this._container.addEventListener(\"contextmenu\",function(we){return we.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",O===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var de=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}else{var ne=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=ne,this._geolocateButton.setAttribute(\"aria-label\",ne)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Ki(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ki({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(we){var Oe=we.originalEvent&&we.originalEvent.type===\"resize\";!we.geolocateSource&&K._watchState===\"ACTIVE_LOCK\"&&!Oe&&(K._watchState=\"BACKGROUND\",K._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),K._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),K.fire(new i.Event(\"trackuserlocationend\")))})},D.prototype.trigger=function(){if(!this._setup)return i.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":ba--,is=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new i.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new i.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),ba++;var O;ba>1?(O={maximumAge:6e5,timeout:0},is=!0):(O=this.options.positionOptions,is=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,O)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},D.prototype._clearWatch=function(){i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},D})(i.Evented),Ga={maxWidth:100,unit:\"metric\"},El=function(D){this.options=i.extend({},Ga,D),i.bindAll([\"_onMove\",\"setUnit\"],this)};El.prototype.getDefaultPosition=function(){return\"bottom-left\"},El.prototype._onMove=function(){zo(this._map,this._container,this.options)},El.prototype.onAdd=function(D){return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",D.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},El.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},El.prototype.setUnit=function(D){this.options.unit=D,zo(this._map,this._container,this.options)};function zo(Y,D,J){var O=J&&J.maxWidth||100,K=Y._container.clientHeight/2,de=Y.unproject([0,K]),ne=Y.unproject([O,K]),we=de.distanceTo(ne);if(J&&J.unit===\"imperial\"){var Oe=3.2808*we;if(Oe>5280){var ht=Oe/5280;Qs(D,O,ht,Y._getUIString(\"ScaleControl.Miles\"))}else Qs(D,O,Oe,Y._getUIString(\"ScaleControl.Feet\"))}else if(J&&J.unit===\"nautical\"){var Yt=we/1852;Qs(D,O,Yt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else we>=1e3?Qs(D,O,we/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):Qs(D,O,we,Y._getUIString(\"ScaleControl.Meters\"))}function Qs(Y,D,J,O){var K=Ul(J),de=K/J;Y.style.width=D*de+\"px\",Y.innerHTML=K+\"&nbsp;\"+O}function nl(Y){var D=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*D)/D}function Ul(Y){var D=Math.pow(10,(\"\"+Math.floor(Y)).length-1),J=Y/D;return J=J>=10?10:J>=5?5:J>=3?3:J>=2?2:J>=1?1:nl(J),D*J}var ss=function(D){this._fullscreen=!1,D&&D.container&&(D.container instanceof i.window.HTMLElement?this._container=D.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ss.prototype.onAdd=function(D){return this._map=D,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ss.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},ss.prototype._setupUI=function(){var D=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",D).setAttribute(\"aria-hidden\",!0),D.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._updateTitle=function(){var D=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",D),this._fullscreenButton.title=D},ss.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ss.prototype._isFullscreen=function(){return this._fullscreen},ss.prototype._changeIcon=function(){var D=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;D===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ss.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Vs={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},Ys=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),wa=(function(Y){function D(J){Y.call(this),this.options=i.extend(Object.create(Vs),J),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(O){return this._map&&this.remove(),this._map=O,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new i.Event(\"open\")),this},D.prototype.isOpen=function(){return!!this._map},D.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},D.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},D.prototype.getElement=function(){return this._container},D.prototype.setText=function(O){return this.setDOMContent(i.window.document.createTextNode(O))},D.prototype.setHTML=function(O){var K=i.window.document.createDocumentFragment(),de=i.window.document.createElement(\"body\"),ne;for(de.innerHTML=O;ne=de.firstChild,!!ne;)K.appendChild(ne);return this.setDOMContent(K)},D.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},D.prototype.setMaxWidth=function(O){return this.options.maxWidth=O,this._update(),this},D.prototype.setDOMContent=function(O){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(O),this._createCloseButton(),this._update(),this._focusFirstElement(),this},D.prototype.addClassName=function(O){this._container&&this._container.classList.add(O)},D.prototype.removeClassName=function(O){this._container&&this._container.classList.remove(O)},D.prototype.setOffset=function(O){return this.options.offset=O,this._update(),this},D.prototype.toggleClassName=function(O){if(this._container)return this._container.classList.toggle(O)},D.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},D.prototype._onMouseUp=function(O){this._update(O.point)},D.prototype._onMouseMove=function(O){this._update(O.point)},D.prototype._onDrag=function(O){this._update(O.point)},D.prototype._update=function(O){var K=this,de=this._lngLat||this._trackPointer;if(!(!this._map||!de||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(Ne){return K._container.classList.add(Ne)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!O))){var ne=this._pos=this._trackPointer&&O?O:this._map.project(this._lngLat),we=this.options.anchor,Oe=al(this.options.offset);if(!we){var ht=this._container.offsetWidth,Yt=this._container.offsetHeight,cr;ne.y+Oe.bottom.y<Yt?cr=[\"top\"]:ne.y>this._map.transform.height-Yt?cr=[\"bottom\"]:cr=[],ne.x<ht/2?cr.push(\"left\"):ne.x>this._map.transform.width-ht/2&&cr.push(\"right\"),cr.length===0?we=\"bottom\":we=cr.join(\"-\")}var Nt=ne.add(Oe[we]).round();o.setTransform(this._container,Nn[we]+\" translate(\"+Nt.x+\"px,\"+Nt.y+\"px)\"),aa(this._container,we,\"popup\")}},D.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var O=this._container.querySelector(Ys);O&&O.focus()}},D.prototype._onClose=function(){this.remove()},D})(i.Evented);function al(Y){if(Y)if(typeof Y==\"number\"){var D=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(D,D),\"top-right\":new i.Point(-D,D),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(D,-D),\"bottom-right\":new i.Point(-D,-D),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var J=i.Point.convert(Y);return{center:J,top:J,\"top-left\":J,\"top-right\":J,bottom:J,\"bottom-left\":J,\"bottom-right\":J,left:J,right:J}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return al(new i.Point(0,0))}var io={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:si,NavigationControl:Ui,GeolocateControl:Zs,AttributionControl:Qi,ScaleControl:El,FullscreenControl:ss,Popup:wa,Marker:Ki,Style:yu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:ua,clearPrewarmedResources:ma,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return fn.workerCount},set workerCount(Y){fn.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(D){i.clearTileCache(D)},workerUrl:\"\"};return io}),r}))});var EGe=ye((obr,MGe)=>{\"use strict\";var gw=Pr(),_Wt=Zl().sanitizeHTML,xWt=vJ(),TGe=y1();function AGe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=TGe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=AGe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=o7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!o7(e)){var r=bWt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(TGe.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=SGe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),o7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(o7(e)){var t=SGe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function o7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return gw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function SGe(e){var t={},r={};switch(e.type){case\"circle\":gw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":gw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":gw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=xWt(n.textposition,n.iconsize);gw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),gw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":gw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function bWt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=_Wt(e.sourceattribution)),n}MGe.exports=function(t,r,n){var i=new AGe(t,r);return i.update(n),i}});var zGe=ye((sbr,FGe)=>{\"use strict\";var bJ=xJ(),wJ=Pr(),PGe=ey(),kGe=Oa(),wWt=ho(),TWt=yv(),s7=ef(),IGe=Cg(),AWt=IGe.drawMode,SWt=IGe.selectMode,MWt=qf().prepSelect,EWt=qf().clearOutline,kWt=qf().clearSelectionsCache,CWt=qf().selectOnClick,Cx=y1(),LWt=EGe();function RGe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Gh=RGe.prototype;Gh.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Gh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=DGe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new bJ.Map({container:i.div,style:o.style,center:TJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new bJ.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(PGe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Gh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=DGe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(PGe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Gh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var CGe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};Gh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return CGe[f[0].trace.type]-CGe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Gh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(TJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};Gh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Gh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(Cx.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Gh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},wWt.setConvert(t.mockAxis,e)};Gh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];kGe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&s7.hover(n,s,r.id)},s7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){s7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];kGe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(TJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){kWt(r.dragOptions),EWt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&CWt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&s7.click(n,l.originalEvent)}}};Gh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=wJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),SWt(a)||AWt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){MWt(l,u,c,t.dragOptions,a)},TWt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Gh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Gh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(LWt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Gh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Gh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Gh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Gh.getMapLayers=function(){return this.map.getStyle().layers};Gh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}wJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Gh.project=function(e){return this.map.project(new bJ.LngLat(e[0],e[1]))};Gh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Gh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Gh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function DGe(e,t){var r={};if(wJ.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,Cx.styleValuesMapbox.indexOf(e)!==-1)r.style=LGe(e);else if(Cx.stylesNonMapbox[e]){r.style=Cx.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=Cx.styleValueDflt,r.style=LGe(Cx.styleValueDflt);return r.transition={duration:0,delay:0},r}function LGe(e){return Cx.styleUrlPrefix+e+\"-\"+Cx.styleUrlSuffix}function TJ(e){return[e.lon,e.lat]}FGe.exports=RGe});var BGe=ye((lbr,OGe)=>{\"use strict\";var AJ=Pr(),PWt=O_(),IWt=Kd(),qGe=Jk();OGe.exports=function(t,r,n){PWt(t,r,n,{type:\"mapbox\",attributes:qGe,handleDefaults:RWt,partition:\"y\",accessToken:r._mapboxAccessToken})};function RWt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,IWt(e,t,{name:\"layers\",handleItemDefaults:DWt}),t._input=e}function DWt(e,t){function r(l,u){return AJ.coerce(e,t,qGe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",AJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),AJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var l7=ye(Np=>{\"use strict\";var NGe=xJ(),nm=Pr(),SJ=nm.strTranslate,FWt=nm.strScale,zWt=Id().getSubplotCalcData,qWt=Wp(),OWt=Fa(),UGe=So(),BWt=Zl(),NWt=zGe(),Lx=\"mapbox\",ly=Np.constants=y1();Np.name=Lx;Np.attr=\"subplot\";Np.idRoot=Lx;Np.idRegex=Np.attrRegex=nm.counterRegex(Lx);var UWt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Jk();Np.supplyLayoutDefaults=BGe();var VGe=!0;Np.plot=function(t){VGe&&(VGe=!1,nm.warn(UWt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[Lx];if(NGe.version!==ly.requiredVersion)throw new Error(ly.wrongVersionErrorMsg);var a=VWt(t,i);NGe.accessToken=a;for(var o=0;o<i.length;o++){var s=i[o],l=zWt(n,Lx,s),u=r[s],c=u._subplot;c||(c=new NWt(t,s),r[s]._subplot=c),c.viewInitial||(c.viewInitial={center:nm.extendFlat({},u.center),zoom:u.zoom,bearing:u.bearing,pitch:u.pitch}),c.plot(l,r,t._promises)}};Np.clean=function(e,t,r,n){for(var i=n._subplots[Lx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};Np.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Lx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:qWt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=OWt.select(a._subplot.div),f=c.select(\".mapboxgl-ctrl-logo\").node().offsetParent===null;if(!f){var h=t._glimages.append(\"g\");h.attr(\"transform\",SJ(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",ly.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),m=v.append(\"text\");m.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=UGe.bBox(m.node()),p=n.w*(o.x[1]-o.x[0]);if(b.width>p/2){var k=d.split(\"|\").join(\"<br>\");m.text(k).attr(\"data-unformatted\",k).call(BWt.convertToTspans,e),b=UGe.bBox(m.node())}m.attr(\"transform\",SJ(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var M=1;b.width+6>p&&(M=p/(b.width+6));var T=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",SJ(T[0],T[1])+FWt(M))}};function VWt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;GGe(u.style)&&(c?nm.pushUnique(i,c):(GGe(u._input.style)&&(nm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&nm.pushUnique(a,c)}if(s){var f=o?ly.noAccessTokenErrorMsg:ly.missingStyleErrorMsg;throw nm.error(f),new Error(f)}return i.length?(i.length>1&&nm.warn(ly.multipleTokensErrorMsg),i[0]):(a.length&&nm.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}function GGe(e){return typeof e==\"string\"&&(ly.styleValuesMapbox.indexOf(e)!==-1||e.indexOf(\"mapbox://\")===0||e.indexOf(\"stamen\")===0)}Np.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Lx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var jGe=ye((fbr,HGe)=>{\"use strict\";var cbr=[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");HGe.exports={attributes:e7(),supplyDefaults:rGe(),colorbar:Qd(),formatLabels:dJ(),calc:TF(),plot:gGe(),hoverPoints:a7().hoverPoints,eventData:xGe(),selectPoints:wGe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:l7(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var XGe=ye((hbr,WGe)=>{\"use strict\";WGe.exports=jGe()});var MJ=ye((dbr,ZGe)=>{\"use strict\";var _1=l5(),GWt=Tu(),{hovertemplateAttrs:HWt,templatefallbackAttrs:jWt}=Pl(),WWt=Vl(),Px=Ao().extendFlat;ZGe.exports=Px({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Px({},_1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:_1.text,hovertext:_1.hovertext,marker:{line:{color:Px({},_1.marker.line.color,{editType:\"plot\"}),width:Px({},_1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Px({},_1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Px({},_1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Px({},_1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:_1.hoverinfo,hovertemplate:HWt({},{keys:[\"properties\"]}),hovertemplatefallback:jWt(),showlegend:Px({},WWt.showlegend,{dflt:!1})},GWt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KGe=ye((vbr,YGe)=>{\"use strict\";var tC=Pr(),XWt=td(),ZWt=MJ();YGe.exports=function(t,r,n,i){function a(c,f){return tC.coerce(t,r,ZWt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!tC.isArrayOrTypedArray(o)||!o.length||!tC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||tC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),XWt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),tC.coerceSelectionMarkerOpacity(r,a)}});var EJ=ye((pbr,QGe)=>{\"use strict\";var YWt=Eo(),x1=Pr(),KWt=tc(),JWt=So(),$Wt=hx().makeBlank,JGe=ey();function QWt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:$Wt()};if(!r)return a;var o=JGe.extractTraceFeature(e);if(!o)return a;var s=KWt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;x1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var M=k.mo;return YWt(M)?+x1.constrain(M,0,1):0});var f;x1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;x1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],m=v.fOut;if(m){var b=m.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=JGe.feature2polygons(m)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return x1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),x1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},$Ge(e),a}function $Ge(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=JWt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=x1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return x1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),x1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}QGe.exports={convert:QWt,convertOnSelect:$Ge}});var nHe=ye((gbr,iHe)=>{\"use strict\";var tHe=EJ().convert,eXt=EJ().convertOnSelect,eHe=y1().traceLayerPrefix;function rHe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",eHe+t+\"-fill\"],[\"line\",eHe+t+\"-line\"]],this.below=null}var R5=rHe.prototype;R5.update=function(e){this._update(tHe(e)),e[0].trace._glTrace=this};R5.updateOnSelect=function(e){this._update(eXt(e))};R5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};R5._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};R5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};R5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};iHe.exports=function(t,r){var n=r[0].trace,i=new rHe(t,n.uid),a=i.sourceId,o=tHe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var oHe=ye((ybr,aHe)=>{\"use strict\";var mbr=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");aHe.exports={attributes:MJ(),supplyDefaults:KGe(),colorbar:F_(),calc:HF(),plot:nHe(),hoverPoints:WF(),eventData:XF(),selectPoints:ZF(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:l7(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var lHe=ye((_br,sHe)=>{\"use strict\";sHe.exports=oHe()});var CJ=ye((xbr,cHe)=>{\"use strict\";var tXt=Tu(),{hovertemplateAttrs:rXt,templatefallbackAttrs:iXt}=Pl(),uHe=Vl(),u7=e7(),kJ=Ao().extendFlat;cHe.exports=kJ({lon:u7.lon,lat:u7.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:u7.text,hovertext:u7.hovertext,hoverinfo:kJ({},uHe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:rXt(),hovertemplatefallback:iXt(),showlegend:kJ({},uHe.showlegend,{dflt:!1})},tXt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var hHe=ye((bbr,fHe)=>{\"use strict\";var nXt=Pr(),aXt=td(),oXt=CJ();fHe.exports=function(t,r,n,i){function a(u,c){return nXt.coerce(t,r,oXt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),aXt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var pHe=ye((wbr,vHe)=>{\"use strict\";var LJ=Eo(),sXt=Pr().isArrayOrTypedArray,PJ=fs().BADNUM,lXt=gv(),dHe=Pr()._;vHe.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=sXt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=LJ(u)&&LJ(c)?[+u,+c]:[PJ,PJ],o){var f=a[s];l.z=LJ(f)?f:PJ}}return lXt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:dHe(t,\"lat:\")+\" \",lon:dHe(t,\"lon:\")+\" \"}}),i}});var xHe=ye((Tbr,_He)=>{\"use strict\";var uXt=Eo(),IJ=Pr(),gHe=ka(),mHe=tc(),yHe=fs().BADNUM,cXt=hx().makeBlank;_He.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:cXt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=IJ.isArrayOrTypedArray(l)&&l.length,f=IJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==yHe){var v={};if(c){var m=h.z;v.z=m!==yHe?m:0}f&&(v.r=uXt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=mHe.extractOpts(r),p=b.reversescale?mHe.flipScale(b.colorscale):b.colorscale,k=p[0][1],M=gHe.opacity(k)<1?k:gHe.addOpacity(k,0),T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,M];for(s=1;s<p.length;s++)T.push(p[s][0],p[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return IJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var AHe=ye((Abr,THe)=>{\"use strict\";var bHe=xHe(),fXt=y1().traceLayerPrefix;function wHe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",fXt+t+\"-heatmap\"]],this.below=null}var c7=wHe.prototype;c7.update=function(e){var t=this.subplot,r=this.layerList,n=bHe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};c7._addLayers=function(e,t){for(var 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RJ=ye((Fbr,JHe)=>{\"use strict\";var FXt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];JHe.exports={isSupportedFont:function(e){return FXt.indexOf(e)!==-1}}});var eje=ye((zbr,QHe)=>{\"use strict\";var nC=Pr(),DJ=Ru(),zXt=$p(),qXt=D0(),OXt=F0(),BXt=Fg(),$He=h7(),NXt=RJ().isSupportedFont;QHe.exports=function(t,r,n,i){function a(p,k){return nC.coerce(t,r,$He,p,k)}function o(p,k){return nC.coerce2(t,r,$He,p,k)}var s=UXt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),DJ.hasMarkers(r)){zXt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(nC.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),nC.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}DJ.hasLines(r)&&(qXt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,m=a(\"cluster.enabled\",v);if(m||DJ.hasText(r)){var b=i.font.family;OXt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:NXt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&BXt(t,r,n,a),nC.coerceSelectionMarkerOpacity(r,a)};function UXt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var FJ=ye((qbr,rje)=>{\"use strict\";var tje=ho();rje.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=tje.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=tje.tickText(o,o.c2l(s[1]),!0).text,i}});var zJ=ye((Obr,nje)=>{\"use strict\";var ije=Pr();nje.exports=function(t,r){var n=t.split(\" 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p;if((a||o)&&(p=v7.calcTraceToLineCoords(r)),a&&(h.geojson=v7.makePolygon(p),h.layout.visibility=\"visible\",sv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=v7.makeLine(p),d.layout.visibility=\"visible\",sv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var k=KXt(r);v.geojson=k.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":OJ(n.cluster.color,n.cluster.step),\"circle-radius\":OJ(n.cluster.size,n.cluster.step),\"circle-opacity\":OJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":oje(n),\"text-size\":12}}),sv.extendFlat(v.paint,{\"circle-color\":k.mcc,\"circle-radius\":k.mrc,\"circle-opacity\":k.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(m.geojson=JXt(r,t),sv.extendFlat(m.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(sv.extendFlat(m.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&sv.extendFlat(m.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),m.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,sv.extendFlat(m.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var M=(n.marker||{}).size,T=WXt(n.textposition,M);sv.extendFlat(m.layout,{\"text-size\":n.textfont.size,\"text-anchor\":T.anchor,\"text-offset\":T.offset,\"text-font\":oje(n)}),sv.extendFlat(m.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function d7(e){return{type:e,geojson:v7.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function KXt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=sv.isArrayOrTypedArray(r.color),a=sv.isArrayOrTypedArray(r.size),o=sv.isArrayOrTypedArray(r.opacity),s;function l(M){return t.opacity*M}function u(M){return M/2}var c;i&&(aje.hasColorscale(t,\"marker\")?c=aje.makeColorScaleFuncFromTrace(r):c=sv.identity);var f;a&&(f=HXt(t));var h;o&&(h=function(M){var T=sje(M)?+sv.constrain(M,0,1):0;return l(T)});var d=[];for(s=0;s<e.length;s++){var v=e[s],m=v.lonlat;if(!lje(m)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:m},properties:b})}}var p;if(n)for(p=GXt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var k=d[s].properties;p.selectedOpacityFn&&(k.mo=l(p.selectedOpacityFn(k))),p.selectedColorFn&&(k.mcc=p.selectedColorFn(k)),p.selectedSizeFn&&(k.mrc=p.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||p&&p.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||p&&p.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||p&&p.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function JXt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?qJ(a):g7,l=o!==\"auto\"?qJ(o,!0):g7,u=p7.hasText(n)?qJ(n.text):g7,c=[],f=0;f<e.length;f++){var h=e[f];if(!lje(h.lonlat)){var d=n.texttemplate,v;if(d){var m=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),p={};XXt(p,n,h.i),v=sv.texttemplateString({data:[p,h,n._meta],fallback:n.texttemplatefallback,labels:b,locale:r._d3locale,template:m})}else v=u(f);v&&(v=v.replace(ZXt,\"\").replace(YXt,`\n",
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hje(e,t,r,n){this.type=\"scattermap\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:z5+t+\"-fill\",line:z5+t+\"-line\",circle:z5+t+\"-circle\",symbol:z5+t+\"-symbol\",cluster:z5+t+\"-cluster\",clusterCount:z5+t+\"-cluster-count\"},this.below=null}var aC=hje.prototype;aC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&$Xt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};aC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};aC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};aC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=fje(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(M){M||u.addSource(\"circle\",a.circle,r.cluster);for(var T=og.cluster,L=0;L<T.length;L++){var x=T[L],C=a[x];u.addLayer(x,C,o)}}function f(M){for(var T=og.cluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x])}M||i.removeSource(u.sourceIds.circle)}function h(M){for(var T=og.nonCluster,L=0;L<T.length;L++){var x=T[L],C=a[x];M||u.addSource(x,C),u.addLayer(x,C,o)}}function d(M){for(var T=og.nonCluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x]),M||i.removeSource(u.sourceIds[x])}}function v(M){l?f(M):d(M)}function m(M){s?c(M):h(M)}function b(){for(var M=s?og.cluster:og.nonCluster,T=0;T<M.length;T++){var L=M[T],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||m():l!==s?(v(),m()):(this.below!==o&&(v(!0),m(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};aC.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?og.cluster:og.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};dje.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new hje(t,n.uid,i,a),s=fje(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<og.cluster.length;u++)c=og.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<og.nonCluster.length;u++)c=og.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var m7=ye((Ubr,gje)=>{\"use strict\";var QXt=ef(),BJ=Pr(),eZt=xT(),tZt=BJ.fillText,rZt=fs().BADNUM,iZt=Ix().traceLayerPrefix;function nZt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=iZt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(S){return S.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function m(S){var g=S.lonlat;if(g[0]===rZt||c&&l.indexOf(S.i+1)===-1)return 1/0;var P=BJ.modHalf(g[0],360),E=g[1],z=s.project([P,E]),q=z.x-a.c2p([v,E]),V=z.y-o.c2p([P,r]),G=Math.max(3,S.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-G,1-3/G)}if(QXt.getClosest(n,m,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[BJ.modHalf(p[0],360)+d,p[1]],M=a.c2p(k),T=o.c2p(k),L=b.mrc||1;e.x0=M-L,e.x1=M+L,e.y0=T-L,e.y1=T+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=eZt(i,b),e.extraText=pje(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function pje(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&tZt(t,e,u),u.join(\"<br>\")}gje.exports={hoverPoints:nZt,getExtraText:pje}});var yje=ye((Vbr,mje)=>{\"use strict\";mje.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var xje=ye((Gbr,_je)=>{\"use strict\";var 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0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(A):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(A):void 0}).format(this.number.evaluate(A))}eachChild(A){A(this.number),this.locale&&A(this.locale),this.currency&&A(this.currency),this.minFractionDigits&&A(this.minFractionDigits),this.maxFractionDigits&&A(this.maxFractionDigits)}outputDefined(){return!1}}class Yl{constructor(A){this.type=ei,this.sections=A}static parse(A,F){if(A.length<2)return F.error(\"Expected at least one argument.\");let W=A[1];if(!Array.isArray(W)&&typeof W==\"object\")return F.error(\"First argument must be an image or text section.\");let te=[],fe=!1;for(let pe=1;pe<=A.length-1;++pe){let Re=A[pe];if(fe&&typeof Re==\"object\"&&!Array.isArray(Re)){fe=!1;let Ke=null;if(Re[\"font-scale\"]&&(Ke=F.parse(Re[\"font-scale\"],1,dt),!Ke))return null;let ft=null;if(Re[\"text-font\"]&&(ft=F.parse(Re[\"text-font\"],1,Ge(Et)),!ft))return null;let 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F=(180+R[0])/360,W=(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R[1]*Math.PI/360)))/360,te=Math.pow(2,A.z);return[Math.round(F*te*bs),Math.round(W*te*bs)]}function _a(R,A){let F=Math.pow(2,A.z);return[(te=(R[0]/bs+A.x)/F,360*te-180),(W=(R[1]/bs+A.y)/F,360/Math.PI*Math.atan(Math.exp((180-360*W)*Math.PI/180))-90)];var W,te}function Vu(R,A){R[0]=Math.min(R[0],A[0]),R[1]=Math.min(R[1],A[1]),R[2]=Math.max(R[2],A[0]),R[3]=Math.max(R[3],A[1])}function zl(R,A){return!(R[0]<=A[0]||R[2]>=A[2]||R[1]<=A[1]||R[3]>=A[3])}function xo(R,A,F){let W=R[0]-A[0],te=R[1]-A[1],fe=R[0]-F[0],pe=R[1]-F[1];return W*pe-fe*te==0&&W*fe<=0&&te*pe<=0}function Kl(R,A,F,W){return(te=[W[0]-F[0],W[1]-F[1]])[0]*(fe=[A[0]-R[0],A[1]-R[1]])[1]-te[1]*fe[0]!=0&&!(!Oo(R,A,F,W)||!Oo(F,W,R,A));var te,fe}function Ns(R,A,F){for(let W of F)for(let te=0;te<W.length-1;++te)if(Kl(R,A,W[te],W[te+1]))return!0;return!1}function Hl(R,A,F=!1){let W=!1;for(let Re of A)for(let Ke=0;Ke<Re.length-1;Ke++){if(xo(R,Re[Ke],Re[Ke+1]))return 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this.first?(this.first=!1,this.lastIntegerZoom=W,this.lastIntegerZoomTime=0,this.lastZoom=A,this.lastFloorZoom=W,!0):(this.lastFloorZoom>W?(this.lastIntegerZoom=W+1,this.lastIntegerZoomTime=F):this.lastFloorZoom<W&&(this.lastIntegerZoom=W,this.lastIntegerZoomTime=F),A!==this.lastZoom&&(this.lastZoom=A,this.lastFloorZoom=W,!0))}}let Dn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and 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ws=Zo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Ho(R){return!(R!==746&&R!==747&&(R<4352||!(Dn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||Dn[\"CJK Compatibility\"](R)||Dn[\"CJK Strokes\"](R)||!(!Dn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||Dn[\"Enclosed CJK Letters and Months\"](R)||Dn[\"Ideographic Description Characters\"](R)||Dn.Kanbun(R)||Dn.Katakana(R)&&R!==12540||!(!Dn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!Dn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||Dn[\"Vertical Forms\"](R)||Dn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||ws.test(String.fromCodePoint(R)))))}function ml(R){return!(Ho(R)||(function(A){return!!(Dn[\"Latin-1 Supplement\"](A)&&(A===167||A===169||A===174||A===177||A===188||A===189||A===190||A===215||A===247)||Dn[\"General Punctuation\"](A)&&(A===8214||A===8224||A===8225||A===8240||A===8241||A===8251||A===8252||A===8258||A===8263||A===8264||A===8265||A===8273)||Dn[\"Letterlike Symbols\"](A)||Dn[\"Number Forms\"](A)||Dn[\"Miscellaneous Technical\"](A)&&(A>=8960&&A<=8967||A>=8972&&A<=8991||A>=8996&&A<=9e3||A===9003||A>=9085&&A<=9114||A>=9150&&A<=9165||A===9167||A>=9169&&A<=9179||A>=9186&&A<=9215)||Dn[\"Control Pictures\"](A)&&A!==9251||Dn[\"Optical Character Recognition\"](A)||Dn[\"Enclosed Alphanumerics\"](A)||Dn[\"Geometric Shapes\"](A)||Dn[\"Miscellaneous Symbols\"](A)&&!(A>=9754&&A<=9759)||Dn[\"Miscellaneous Symbols and Arrows\"](A)&&(A>=11026&&A<=11055||A>=11088&&A<=11097||A>=11192&&A<=11243)||Dn[\"CJK Symbols and Punctuation\"](A)||Dn.Katakana(A)||Dn[\"Private Use Area\"](A)||Dn[\"CJK Compatibility Forms\"](A)||Dn[\"Small Form 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class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class rs{constructor(A,F){this.zoom=A,F?(this.now=F.now,this.fadeDuration=F.fadeDuration,this.zoomHistory=F.zoomHistory,this.transition=F.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Zn,this.transition={})}isSupportedScript(A){return(function(F,W){for(let te of F)if(!va(te.charCodeAt(0),W))return!1;return!0})(A,ys.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let A=this.zoom,F=A-Math.floor(A),W=this.crossFadingFactor();return A>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:F+(1-F)*W}:{fromScale:.5,toScale:1,t:1-(1-W)*F}}}class Ql{constructor(A,F){this.property=A,this.value=F,this.expression=(function(W,te){if(Wf(W))return new il(W,te);if(Dc(W)){let fe=_u(W,te);if(fe.result===\"error\")throw new Error(fe.value.map((pe=>`${pe.key}: ${pe.message}`)).join(\", \"));return fe.value}{let fe=W;return te.type===\"color\"&&typeof W==\"string\"?fe=ir.parse(W):te.type!==\"padding\"||typeof W!=\"number\"&&!Array.isArray(W)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(W)&&(fe=Hi.parse(W)):fe=$r.parse(W),{kind:\"constant\",evaluate:()=>fe}}})(F===void 0?A.specification.default:F,A.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(A,F,W){return this.property.possiblyEvaluate(this,A,F,W)}}class Cu{constructor(A){this.property=A,this.value=new Ql(A,void 0)}transitioned(A,F){return new Nc(this.property,this.value,F,L({},A.transition,this.transition),A.now)}untransitioned(){return new Nc(this.property,this.value,null,{},0)}}class Yu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitionablePropertyValues)}getValue(A){return g(this._values[A].value.value)}setValue(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].value=new Ql(this._values[A].property,F===null?void 0:g(F))}getTransition(A){return g(this._values[A].transition)}setTransition(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].transition=g(F)||void 0}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W);let te=this.getTransition(F);te!==void 0&&(A[`${F}-transition`]=te)}return A}transitioned(A,F){let W=new pu(this._properties);for(let te of Object.keys(this._values))W._values[te]=this._values[te].transitioned(A,F._values[te]);return W}untransitioned(){let A=new pu(this._properties);for(let F of Object.keys(this._values))A._values[F]=this._values[F].untransitioned();return A}}class Nc{constructor(A,F,W,te,fe){this.property=A,this.value=F,this.begin=fe+te.delay||0,this.end=this.begin+te.duration||0,A.specification.transition&&(te.delay||te.duration)&&(this.prior=W)}possiblyEvaluate(A,F,W){let te=A.now||0,fe=this.value.possiblyEvaluate(A,F,W),pe=this.prior;if(pe){if(te>this.end)return this.prior=null,fe;if(this.value.isDataDriven())return this.prior=null,fe;if(te<this.begin)return pe.possiblyEvaluate(A,F,W);{let Re=(te-this.begin)/(this.end-this.begin);return this.property.interpolate(pe.possiblyEvaluate(A,F,W),fe,(function(Ke){if(Ke<=0)return 0;if(Ke>=1)return 1;let ft=Ke*Ke,Rt=ft*Ke;return 4*(Ke<.5?Rt:3*(Ke-ft)+Rt-.75)})(Re))}}return fe}}class pu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitioningPropertyValues)}possiblyEvaluate(A,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return te}hasTransition(){for(let A of Object.keys(this._values))if(this._values[A].prior)return!0;return!1}}class Uc{constructor(A){this._properties=A,this._values=Object.create(A.defaultPropertyValues)}hasValue(A){return this._values[A].value!==void 0}getValue(A){return g(this._values[A].value)}setValue(A,F){this._values[A]=new Ql(this._values[A].property,F===null?void 0:g(F))}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W)}return A}possiblyEvaluate(A,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return te}}class xu{constructor(A,F,W){this.property=A,this.value=F,this.parameters=W}isConstant(){return this.value.kind===\"constant\"}constantOr(A){return this.value.kind===\"constant\"?this.value.value:A}evaluate(A,F,W,te){return this.property.evaluate(this.value,this.parameters,A,F,W,te)}}class Ac{constructor(A){this._properties=A,this._values=Object.create(A.defaultPossiblyEvaluatedValues)}get(A){return this._values[A]}}class Va{constructor(A){this.specification=A}possiblyEvaluate(A,F){if(A.isDataDriven())throw new Error(\"Value should not be data driven\");return A.expression.evaluate(F)}interpolate(A,F,W){let te=Lo[this.specification.type];return te?te(A,F,W):A}}class oo{constructor(A,F){this.specification=A,this.overrides=F}possiblyEvaluate(A,F,W,te){return new xu(this,A.expression.kind===\"constant\"||A.expression.kind===\"camera\"?{kind:\"constant\",value:A.expression.evaluate(F,null,{},W,te)}:A.expression,F)}interpolate(A,F,W){if(A.value.kind!==\"constant\"||F.value.kind!==\"constant\")return A;if(A.value.value===void 0||F.value.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},A.parameters);let te=Lo[this.specification.type];if(te){let fe=te(A.value.value,F.value.value,W);return new xu(this,{kind:\"constant\",value:fe},A.parameters)}return A}evaluate(A,F,W,te,fe,pe){return A.kind===\"constant\"?A.value:A.evaluate(F,W,te,fe,pe)}}class Vc extends oo{possiblyEvaluate(A,F,W,te){if(A.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},F);if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,te),pe=A.property.specification.type===\"resolvedImage\"&&typeof fe!=\"string\"?fe.name:fe,Re=this._calculate(pe,pe,pe,F);return new xu(this,{kind:\"constant\",value:Re},F)}if(A.expression.kind===\"camera\"){let fe=this._calculate(A.expression.evaluate({zoom:F.zoom-1}),A.expression.evaluate({zoom:F.zoom}),A.expression.evaluate({zoom:F.zoom+1}),F);return new xu(this,{kind:\"constant\",value:fe},F)}return new xu(this,A.expression,F)}evaluate(A,F,W,te,fe,pe){if(A.kind===\"source\"){let Re=A.evaluate(F,W,te,fe,pe);return this._calculate(Re,Re,Re,F)}return A.kind===\"composite\"?this._calculate(A.evaluate({zoom:Math.floor(F.zoom)-1},W,te),A.evaluate({zoom:Math.floor(F.zoom)},W,te),A.evaluate({zoom:Math.floor(F.zoom)+1},W,te),F):A.value}_calculate(A,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class hc{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,te){if(A.value!==void 0){if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,te);return this._calculate(fe,fe,fe,F)}return this._calculate(A.expression.evaluate(new rs(Math.floor(F.zoom-1),F)),A.expression.evaluate(new rs(Math.floor(F.zoom),F)),A.expression.evaluate(new rs(Math.floor(F.zoom+1),F)),F)}}_calculate(A,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class Ku{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,te){return!!A.expression.evaluate(F,null,{},W,te)}interpolate(){return!1}}class ue{constructor(A){this.properties=A,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let F in A){let W=A[F];W.specification.overridable&&this.overridableProperties.push(F);let te=this.defaultPropertyValues[F]=new Ql(W,void 0),fe=this.defaultTransitionablePropertyValues[F]=new Cu(W);this.defaultTransitioningPropertyValues[F]=fe.untransitioned(),this.defaultPossiblyEvaluatedValues[F]=te.possiblyEvaluate({})}}}Fi(\"DataDrivenProperty\",oo),Fi(\"DataConstantProperty\",Va),Fi(\"CrossFadedDataDrivenProperty\",Vc),Fi(\"CrossFadedProperty\",hc),Fi(\"ColorRampProperty\",Ku);let w=\"-transition\";class B extends Pe{constructor(A,F){if(super(),this.id=A.id,this.type=A.type,this._featureFilter={filter:()=>!0,needGeometry:!1},A.type!==\"custom\"&&(this.metadata=A.metadata,this.minzoom=A.minzoom,this.maxzoom=A.maxzoom,A.type!==\"background\"&&(this.source=A.source,this.sourceLayer=A[\"source-layer\"],this.filter=A.filter),F.layout&&(this._unevaluatedLayout=new Uc(F.layout)),F.paint)){this._transitionablePaint=new Yu(F.paint);for(let W in A.paint)this.setPaintProperty(W,A.paint[W],{validate:!1});for(let W in A.layout)this.setLayoutProperty(W,A.layout[W],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ac(F.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(A){return A===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(A)}setLayoutProperty(A,F,W={}){F!=null&&this._validate(On,`layers.${this.id}.layout.${A}`,A,F,W)||(A!==\"visibility\"?this._unevaluatedLayout.setValue(A,F):this.visibility=F)}getPaintProperty(A){return A.endsWith(w)?this._transitionablePaint.getTransition(A.slice(0,-11)):this._transitionablePaint.getValue(A)}setPaintProperty(A,F,W={}){if(F!=null&&this._validate(wn,`layers.${this.id}.paint.${A}`,A,F,W))return!1;if(A.endsWith(w))return this._transitionablePaint.setTransition(A.slice(0,-11),F||void 0),!1;{let te=this._transitionablePaint._values[A],fe=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",pe=te.value.isDataDriven(),Re=te.value;this._transitionablePaint.setValue(A,F),this._handleSpecialPaintPropertyUpdate(A);let Ke=this._transitionablePaint._values[A].value;return Ke.isDataDriven()||pe||fe||this._handleOverridablePaintPropertyUpdate(A,Re,Ke)}}_handleSpecialPaintPropertyUpdate(A){}_handleOverridablePaintPropertyUpdate(A,F,W){return!1}isHidden(A){return!!(this.minzoom&&A<this.minzoom)||!!(this.maxzoom&&A>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(A){this._transitioningPaint=this._transitionablePaint.transitioned(A,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(A,F){A.getCrossfadeParameters&&(this._crossfadeParameters=A.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(A,void 0,F)),this.paint=this._transitioningPaint.possiblyEvaluate(A,void 0,F)}serialize(){let A={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(A.layout=A.layout||{},A.layout.visibility=this.visibility),S(A,((F,W)=>!(F===void 0||W===\"layout\"&&!Object.keys(F).length||W===\"paint\"&&!Object.keys(F).length)))}_validate(A,F,W,te,fe={}){return(!fe||fe.validate!==!1)&&Yi(this,A.call(Mi,{key:F,layerType:this.type,objectKey:W,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let A in this.paint._values){let F=this.paint.get(A);if(F instanceof xu&&Bl(F.property.specification)&&(F.value.kind===\"source\"||F.value.kind===\"composite\")&&F.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(A,F){this._structArray=A,this._pos1=F*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class le{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(A,F){return A._trim(),F&&(A.isTransferred=!0,F.push(A.arrayBuffer)),{length:A.length,arrayBuffer:A.arrayBuffer}}static deserialize(A){let F=Object.create(this.prototype);return F.arrayBuffer=A.arrayBuffer,F.length=A.length,F.capacity=A.arrayBuffer.byteLength/F.bytesPerElement,F._refreshViews(),F}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(A){this.reserve(A),this.length=A}reserve(A){if(A>this.capacity){this.capacity=Math.max(A,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let F=this.uint8;this._refreshViews(),F&&this.uint8.set(F)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function Fe(R,A=1){let F=0,W=0;return{members:R.map((te=>{let fe=Q[te.type].BYTES_PER_ELEMENT,pe=F=Ze(F,Math.max(A,fe)),Re=te.components||1;return W=Math.max(W,fe),F+=fe*Re,{name:te.name,type:te.type,components:Re,offset:pe}})),size:Ze(F,Math.max(W,A)),alignment:A}}function Ze(R,A){return Math.ceil(R/A)*A}class ut extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.int16[te+0]=F,this.int16[te+1]=W,A}}ut.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2i4\",ut);class Mt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.int16[fe+0]=F,this.int16[fe+1]=W,this.int16[fe+2]=te,A}}Mt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3i6\",Mt);class Jt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,te)}emplace(A,F,W,te,fe){let pe=4*A;return this.int16[pe+0]=F,this.int16[pe+1]=W,this.int16[pe+2]=te,this.int16[pe+3]=fe,A}}Jt.prototype.bytesPerElement=8,Fi(\"StructArrayLayout4i8\",Jt);class $t extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=Re,A}}$t.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i4i12\",$t);class yr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=4*A,ft=8*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.uint8[ft+4]=te,this.uint8[ft+5]=fe,this.uint8[ft+6]=pe,this.uint8[ft+7]=Re,A}}yr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2i4ub8\",yr);class Cr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.float32[te+0]=F,this.float32[te+1]=W,A}}Cr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2f8\",Cr);class ve extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=this.length;return this.resize(er+1),this.emplace(er,A,F,W,te,fe,pe,Re,Ke,ft,Rt)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er){let ur=10*A;return this.uint16[ur+0]=F,this.uint16[ur+1]=W,this.uint16[ur+2]=te,this.uint16[ur+3]=fe,this.uint16[ur+4]=pe,this.uint16[ur+5]=Re,this.uint16[ur+6]=Ke,this.uint16[ur+7]=ft,this.uint16[ur+8]=Rt,this.uint16[ur+9]=er,A}}ve.prototype.bytesPerElement=20,Fi(\"StructArrayLayout10ui20\",ve);class xe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=this.length;return this.resize(vr+1),this.emplace(vr,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr){let kr=12*A;return this.int16[kr+0]=F,this.int16[kr+1]=W,this.int16[kr+2]=te,this.int16[kr+3]=fe,this.uint16[kr+4]=pe,this.uint16[kr+5]=Re,this.uint16[kr+6]=Ke,this.uint16[kr+7]=ft,this.int16[kr+8]=Rt,this.int16[kr+9]=er,this.int16[kr+10]=ur,this.int16[kr+11]=vr,A}}xe.prototype.bytesPerElement=24,Fi(\"StructArrayLayout4i4ui4i24\",xe);class Ie extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.float32[fe+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,A}}Ie.prototype.bytesPerElement=12,Fi(\"StructArrayLayout3f12\",Ie);class ze extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint32[1*A+0]=F,A}}ze.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1ul4\",ze);class Qe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft){let Rt=this.length;return this.resize(Rt+1),this.emplace(Rt,A,F,W,te,fe,pe,Re,Ke,ft)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=10*A,ur=5*A;return this.int16[er+0]=F,this.int16[er+1]=W,this.int16[er+2]=te,this.int16[er+3]=fe,this.int16[er+4]=pe,this.int16[er+5]=Re,this.uint32[ur+3]=Ke,this.uint16[er+8]=ft,this.uint16[er+9]=Rt,A}}Qe.prototype.bytesPerElement=20,Fi(\"StructArrayLayout6i1ul2ui20\",Qe);class Xe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=Re,A}}Xe.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i2i2i12\",Xe);class nt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe){let pe=this.length;return this.resize(pe+1),this.emplace(pe,A,F,W,te,fe)}emplace(A,F,W,te,fe,pe){let Re=4*A,Ke=8*A;return this.float32[Re+0]=F,this.float32[Re+1]=W,this.float32[Re+2]=te,this.int16[Ke+6]=fe,this.int16[Ke+7]=pe,A}}nt.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2f1f2i16\",nt);class qt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=16*A,ft=4*A,Rt=8*A;return this.uint8[Ke+0]=F,this.uint8[Ke+1]=W,this.float32[ft+1]=te,this.float32[ft+2]=fe,this.int16[Rt+6]=pe,this.int16[Rt+7]=Re,A}}qt.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2ub2f2i16\",qt);class Wt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.uint16[fe+0]=F,this.uint16[fe+1]=W,this.uint16[fe+2]=te,A}}Wt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3ui6\",Wt);class nr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi){let vn=this.length;return this.resize(vn+1),this.emplace(vn,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn){let zi=24*A,ln=12*A,Tn=48*A;return this.int16[zi+0]=F,this.int16[zi+1]=W,this.uint16[zi+2]=te,this.uint16[zi+3]=fe,this.uint32[ln+2]=pe,this.uint32[ln+3]=Re,this.uint32[ln+4]=Ke,this.uint16[zi+10]=ft,this.uint16[zi+11]=Rt,this.uint16[zi+12]=er,this.float32[ln+7]=ur,this.float32[ln+8]=vr,this.uint8[Tn+36]=kr,this.uint8[Tn+37]=Dr,this.uint8[Tn+38]=li,this.uint32[ln+10]=pi,this.int16[zi+22]=vn,A}}nr.prototype.bytesPerElement=48,Fi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",nr);class fr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo){let lo=this.length;return this.resize(lo+1),this.emplace(lo,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo,lo){let Wn=32*A,Ro=16*A;return this.int16[Wn+0]=F,this.int16[Wn+1]=W,this.int16[Wn+2]=te,this.int16[Wn+3]=fe,this.int16[Wn+4]=pe,this.int16[Wn+5]=Re,this.int16[Wn+6]=Ke,this.int16[Wn+7]=ft,this.uint16[Wn+8]=Rt,this.uint16[Wn+9]=er,this.uint16[Wn+10]=ur,this.uint16[Wn+11]=vr,this.uint16[Wn+12]=kr,this.uint16[Wn+13]=Dr,this.uint16[Wn+14]=li,this.uint16[Wn+15]=pi,this.uint16[Wn+16]=vn,this.uint16[Wn+17]=zi,this.uint16[Wn+18]=ln,this.uint16[Wn+19]=Tn,this.uint16[Wn+20]=pa,this.uint16[Wn+21]=ro,this.uint16[Wn+22]=Vo,this.uint32[Ro+12]=Xa,this.float32[Ro+13]=la,this.float32[Ro+14]=Mo,this.uint16[Wn+30]=fo,this.uint16[Wn+31]=lo,A}}fr.prototype.bytesPerElement=64,Fi(\"StructArrayLayout8i15ui1ul2f2ui64\",fr);class br extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.float32[1*A+0]=F,A}}br.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1f4\",br);class Fr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.uint16[6*A+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,A}}Fr.prototype.bytesPerElement=12,Fi(\"StructArrayLayout1ui2f12\",Fr);class Hr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=4*A;return this.uint32[2*A+0]=F,this.uint16[fe+2]=W,this.uint16[fe+3]=te,A}}Hr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout1ul2ui8\",Hr);class ri extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.uint16[te+0]=F,this.uint16[te+1]=W,A}}ri.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2ui4\",ri);class Ci extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint16[1*A+0]=F,A}}Ci.prototype.bytesPerElement=2,Fi(\"StructArrayLayout1ui2\",Ci);class cn extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,te)}emplace(A,F,W,te,fe){let pe=4*A;return this.float32[pe+0]=F,this.float32[pe+1]=W,this.float32[pe+2]=te,this.float32[pe+3]=fe,A}}cn.prototype.bytesPerElement=16,Fi(\"StructArrayLayout4f16\",cn);class sn extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}sn.prototype.size=20;class Ln extends Qe{get(A){return new sn(this,A)}}Fi(\"CollisionBoxArray\",Ln);class Kn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(A){this._structArray.uint8[this._pos1+37]=A}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(A){this._structArray.uint8[this._pos1+38]=A}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(A){this._structArray.uint32[this._pos4+10]=A}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Kn.prototype.size=48;class Aa extends nr{get(A){return new Kn(this,A)}}Fi(\"PlacedSymbolArray\",Aa);class fa extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(A){this._structArray.uint32[this._pos4+12]=A}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}fa.prototype.size=64;class $a extends fr{get(A){return new fa(this,A)}}Fi(\"SymbolInstanceArray\",$a);class Co extends br{getoffsetX(A){return this.float32[1*A+0]}}Fi(\"GlyphOffsetArray\",Co);class Qa extends Mt{getx(A){return this.int16[3*A+0]}gety(A){return this.int16[3*A+1]}gettileUnitDistanceFromAnchor(A){return this.int16[3*A+2]}}Fi(\"SymbolLineVertexArray\",Qa);class mo extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}mo.prototype.size=12;class Bo extends Fr{get(A){return new mo(this,A)}}Fi(\"TextAnchorOffsetArray\",Bo);class Ps extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ps.prototype.size=8;class Ts extends Hr{get(A){return new Ps(this,A)}}Fi(\"FeatureIndexArray\",Ts);class wo extends ut{}class To extends ut{}class hl extends ut{}class Nl extends $t{}class Lu extends yr{}class au extends Cr{}class Js extends ve{}class eu extends xe{}class dc extends Ie{}class Al extends ze{}class Sl extends Xe{}class X extends qt{}class se extends Wt{}class Te extends ri{}let qe=Fe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:Ve}=qe;class Ye{constructor(A=[]){this.segments=A}prepareSegment(A,F,W,te){let fe=this.segments[this.segments.length-1];return A>Ye.MAX_VERTEX_ARRAY_LENGTH&&E(`Max vertices per segment is ${Ye.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${A}`),(!fe||fe.vertexLength+A>Ye.MAX_VERTEX_ARRAY_LENGTH||fe.sortKey!==te)&&(fe={vertexOffset:F.length,primitiveOffset:W.length,vertexLength:0,primitiveLength:0},te!==void 0&&(fe.sortKey=te),this.segments.push(fe)),fe}get(){return this.segments}destroy(){for(let A of this.segments)for(let F in A.vaos)A.vaos[F].destroy()}static simpleSegment(A,F,W,te){return new Ye([{vertexOffset:A,primitiveOffset:F,vertexLength:W,primitiveLength:te,vaos:{},sortKey:0}])}}function Pt(R,A){return 256*(R=M(Math.floor(R),0,255))+M(Math.floor(A),0,255)}Ye.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Fi(\"SegmentVector\",Ye);let ot=Fe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var Xt={exports:{}},dr={exports:{}};dr.exports=function(R,A){var F,W,te,fe,pe,Re,Ke,ft;for(W=R.length-(F=3&R.length),te=A,pe=3432918353,Re=461845907,ft=0;ft<W;)Ke=255&R.charCodeAt(ft)|(255&R.charCodeAt(++ft))<<8|(255&R.charCodeAt(++ft))<<16|(255&R.charCodeAt(++ft))<<24,++ft,te=27492+(65535&(fe=5*(65535&(te=(te^=Ke=(65535&(Ke=(Ke=(65535&Ke)*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*Re+(((Ke>>>16)*Re&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(fe>>>16)&65535)<<16);switch(Ke=0,F){case 3:Ke^=(255&R.charCodeAt(ft+2))<<16;case 2:Ke^=(255&R.charCodeAt(ft+1))<<8;case 1:te^=Ke=(65535&(Ke=(Ke=(65535&(Ke^=255&R.charCodeAt(ft)))*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*Re+(((Ke>>>16)*Re&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var pr=dr.exports,Ur={exports:{}};Ur.exports=function(R,A){for(var F,W=R.length,te=A^W,fe=0;W>=4;)F=1540483477*(65535&(F=255&R.charCodeAt(fe)|(255&R.charCodeAt(++fe))<<8|(255&R.charCodeAt(++fe))<<16|(255&R.charCodeAt(++fe))<<24))+((1540483477*(F>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(F=1540483477*(65535&(F^=F>>>24))+((1540483477*(F>>>16)&65535)<<16)),W-=4,++fe;switch(W){case 3:te^=(255&R.charCodeAt(fe+2))<<16;case 2:te^=(255&R.charCodeAt(fe+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(fe)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var zr=pr,gi=Ur.exports;Xt.exports=zr,Xt.exports.murmur3=zr,Xt.exports.murmur2=gi;var xi=o(Xt.exports);class Wr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(A,F,W,te){this.ids.push(ii(A)),this.positions.push(F,W,te)}getPositions(A){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let F=ii(A),W=0,te=this.ids.length-1;for(;W<te;){let pe=W+te>>1;this.ids[pe]>=F?te=pe:W=pe+1}let fe=[];for(;this.ids[W]===F;)fe.push({index:this.positions[3*W],start:this.positions[3*W+1],end:this.positions[3*W+2]}),W++;return fe}static serialize(A,F){let W=new Float64Array(A.ids),te=new Uint32Array(A.positions);return di(W,te,0,W.length-1),F&&F.push(W.buffer,te.buffer),{ids:W,positions:te}}static deserialize(A){let F=new Wr;return F.ids=A.ids,F.positions=A.positions,F.indexed=!0,F}}function ii(R){let A=+R;return!isNaN(A)&&A<=Number.MAX_SAFE_INTEGER?A:xi(String(R))}function di(R,A,F,W){for(;F<W;){let te=R[F+W>>1],fe=F-1,pe=W+1;for(;;){do fe++;while(R[fe]<te);do pe--;while(R[pe]>te);if(fe>=pe)break;Li(R,fe,pe),Li(A,3*fe,3*pe),Li(A,3*fe+1,3*pe+1),Li(A,3*fe+2,3*pe+2)}pe-F<W-pe?(di(R,A,F,pe),F=pe+1):(di(R,A,pe+1,W),W=pe)}}function Li(R,A,F){let W=R[A];R[A]=R[F],R[F]=W}Fi(\"FeaturePositionMap\",Wr);class Ti{constructor(A,F){this.gl=A.gl,this.location=F}}class Qr extends Ti{constructor(A,F){super(A,F),this.current=0}set(A){this.current!==A&&(this.current=A,this.gl.uniform1f(this.location,A))}}class Pn extends Ti{constructor(A,F){super(A,F),this.current=[0,0,0,0]}set(A){A[0]===this.current[0]&&A[1]===this.current[1]&&A[2]===this.current[2]&&A[3]===this.current[3]||(this.current=A,this.gl.uniform4f(this.location,A[0],A[1],A[2],A[3]))}}class kn extends Ti{constructor(A,F){super(A,F),this.current=ir.transparent}set(A){A.r===this.current.r&&A.g===this.current.g&&A.b===this.current.b&&A.a===this.current.a||(this.current=A,this.gl.uniform4f(this.location,A.r,A.g,A.b,A.a))}}let Bn=new Float32Array(16);function na(R){return[Pt(255*R.r,255*R.g),Pt(255*R.b,255*R.a)]}class Ea{constructor(A,F,W){this.value=A,this.uniformNames=F.map((te=>`u_${te}`)),this.type=W}setUniform(A,F,W){A.set(W.constantOr(this.value))}getBinding(A,F,W){return this.type===\"color\"?new kn(A,F):new Qr(A,F)}}class Ia{constructor(A,F){this.uniformNames=F.map((W=>`u_${W}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(A,F){this.pixelRatioFrom=F.pixelRatio,this.pixelRatioTo=A.pixelRatio,this.patternFrom=F.tlbr,this.patternTo=A.tlbr}setUniform(A,F,W,te){let fe=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;fe&&A.set(fe)}getBinding(A,F,W){return W.substr(0,9)===\"u_pattern\"?new Pn(A,F):new Qr(A,F)}}class yo{constructor(A,F,W,te){this.expression=A,this.type=W,this.maxValue=0,this.paintVertexAttributes=F.map((fe=>({name:`a_${fe}`,type:\"Float32\",components:W===\"color\"?2:1,offset:0}))),this.paintVertexArray=new te}populatePaintArray(A,F,W,te,fe){let pe=this.paintVertexArray.length,Re=this.expression.evaluate(new rs(0),F,{},te,[],fe);this.paintVertexArray.resize(A),this._setPaintValue(pe,A,Re)}updatePaintArray(A,F,W,te){let fe=this.expression.evaluate({zoom:0},W,te);this._setPaintValue(A,F,fe)}_setPaintValue(A,F,W){if(this.type===\"color\"){let te=na(W);for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,te[0],te[1])}else{for(let te=A;te<F;te++)this.paintVertexArray.emplace(te,W);this.maxValue=Math.max(this.maxValue,Math.abs(W))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Da{constructor(A,F,W,te,fe,pe){this.expression=A,this.uniformNames=F.map((Re=>`u_${Re}_t`)),this.type=W,this.useIntegerZoom=te,this.zoom=fe,this.maxValue=0,this.paintVertexAttributes=F.map((Re=>({name:`a_${Re}`,type:\"Float32\",components:W===\"color\"?4:2,offset:0}))),this.paintVertexArray=new pe}populatePaintArray(A,F,W,te,fe){let pe=this.expression.evaluate(new rs(this.zoom),F,{},te,[],fe),Re=this.expression.evaluate(new rs(this.zoom+1),F,{},te,[],fe),Ke=this.paintVertexArray.length;this.paintVertexArray.resize(A),this._setPaintValue(Ke,A,pe,Re)}updatePaintArray(A,F,W,te){let fe=this.expression.evaluate({zoom:this.zoom},W,te),pe=this.expression.evaluate({zoom:this.zoom+1},W,te);this._setPaintValue(A,F,fe,pe)}_setPaintValue(A,F,W,te){if(this.type===\"color\"){let fe=na(W),pe=na(te);for(let Re=A;Re<F;Re++)this.paintVertexArray.emplace(Re,fe[0],fe[1],pe[0],pe[1])}else{for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,W,te);this.maxValue=Math.max(this.maxValue,Math.abs(W),Math.abs(te))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(A,F){let W=this.useIntegerZoom?Math.floor(F.zoom):F.zoom,te=M(this.expression.interpolationFactor(W,this.zoom,this.zoom+1),0,1);A.set(te)}getBinding(A,F,W){return new Qr(A,F)}}class go{constructor(A,F,W,te,fe,pe){this.expression=A,this.type=F,this.useIntegerZoom=W,this.zoom=te,this.layerId=pe,this.zoomInPaintVertexArray=new fe,this.zoomOutPaintVertexArray=new fe}populatePaintArray(A,F,W){let te=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(A),this.zoomOutPaintVertexArray.resize(A),this._setPaintValues(te,A,F.patterns&&F.patterns[this.layerId],W)}updatePaintArray(A,F,W,te,fe){this._setPaintValues(A,F,W.patterns&&W.patterns[this.layerId],fe)}_setPaintValues(A,F,W,te){if(!te||!W)return;let{min:fe,mid:pe,max:Re}=W,Ke=te[fe],ft=te[pe],Rt=te[Re];if(Ke&&ft&&Rt)for(let er=A;er<F;er++)this.zoomInPaintVertexArray.emplace(er,ft.tl[0],ft.tl[1],ft.br[0],ft.br[1],Ke.tl[0],Ke.tl[1],Ke.br[0],Ke.br[1],ft.pixelRatio,Ke.pixelRatio),this.zoomOutPaintVertexArray.emplace(er,ft.tl[0],ft.tl[1],ft.br[0],ft.br[1],Rt.tl[0],Rt.tl[1],Rt.br[0],Rt.br[1],ft.pixelRatio,Rt.pixelRatio)}upload(A){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=A.createVertexBuffer(this.zoomInPaintVertexArray,ot.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=A.createVertexBuffer(this.zoomOutPaintVertexArray,ot.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Is{constructor(A,F,W){this.binders={},this._buffers=[];let te=[];for(let fe in A.paint._values){if(!W(fe))continue;let pe=A.paint.get(fe);if(!(pe instanceof xu&&Bl(pe.property.specification)))continue;let Re=Xs(fe,A.type),Ke=pe.value,ft=pe.property.specification.type,Rt=pe.property.useIntegerZoom,er=pe.property.specification[\"property-type\"],ur=er===\"cross-faded\"||er===\"cross-faded-data-driven\";if(Ke.kind===\"constant\")this.binders[fe]=ur?new Ia(Ke.value,Re):new Ea(Ke.value,Re,ft),te.push(`/u_${fe}`);else if(Ke.kind===\"source\"||ur){let vr=Un(fe,ft,\"source\");this.binders[fe]=ur?new go(Ke,ft,Rt,F,vr,A.id):new yo(Ke,Re,ft,vr),te.push(`/a_${fe}`)}else{let vr=Un(fe,ft,\"composite\");this.binders[fe]=new Da(Ke,Re,ft,Rt,F,vr),te.push(`/z_${fe}`)}}this.cacheKey=te.sort().join(\"\")}getMaxValue(A){let F=this.binders[A];return F instanceof yo||F instanceof Da?F.maxValue:0}populatePaintArrays(A,F,W,te,fe){for(let pe in this.binders){let Re=this.binders[pe];(Re instanceof yo||Re instanceof Da||Re instanceof go)&&Re.populatePaintArray(A,F,W,te,fe)}}setConstantPatternPositions(A,F){for(let W in this.binders){let te=this.binders[W];te instanceof Ia&&te.setConstantPatternPositions(A,F)}}updatePaintArrays(A,F,W,te,fe){let pe=!1;for(let Re in A){let Ke=F.getPositions(Re);for(let ft of Ke){let Rt=W.feature(ft.index);for(let er in this.binders){let ur=this.binders[er];if((ur instanceof yo||ur instanceof Da||ur instanceof go)&&ur.expression.isStateDependent===!0){let vr=te.paint.get(er);ur.expression=vr.value,ur.updatePaintArray(ft.start,ft.end,Rt,A[Re],fe),pe=!0}}}}return pe}defines(){let A=[];for(let F in this.binders){let W=this.binders[F];(W instanceof Ea||W instanceof Ia)&&A.push(...W.uniformNames.map((te=>`#define HAS_UNIFORM_${te}`)))}return A}getBinderAttributes(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof yo||W instanceof Da)for(let te=0;te<W.paintVertexAttributes.length;te++)A.push(W.paintVertexAttributes[te].name);else if(W instanceof go)for(let te=0;te<ot.members.length;te++)A.push(ot.members[te].name)}return A}getBinderUniforms(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof Ea||W instanceof Ia||W instanceof Da)for(let te of W.uniformNames)A.push(te)}return A}getPaintVertexBuffers(){return this._buffers}getUniforms(A,F){let W=[];for(let te in this.binders){let fe=this.binders[te];if(fe instanceof Ea||fe instanceof Ia||fe instanceof Da){for(let pe of fe.uniformNames)if(F[pe]){let Re=fe.getBinding(A,F[pe],pe);W.push({name:pe,property:te,binding:Re})}}}return W}setUniforms(A,F,W,te){for(let{name:fe,property:pe,binding:Re}of F)this.binders[pe].setUniform(Re,te,W.get(pe),fe)}updatePaintBuffers(A){this._buffers=[];for(let F in this.binders){let W=this.binders[F];if(A&&W instanceof go){let te=A.fromScale===2?W.zoomInPaintVertexBuffer:W.zoomOutPaintVertexBuffer;te&&this._buffers.push(te)}else(W instanceof yo||W instanceof Da)&&W.paintVertexBuffer&&this._buffers.push(W.paintVertexBuffer)}}upload(A){for(let F in this.binders){let W=this.binders[F];(W instanceof yo||W instanceof Da||W instanceof go)&&W.upload(A)}this.updatePaintBuffers()}destroy(){for(let A in this.binders){let F=this.binders[A];(F instanceof yo||F instanceof Da||F instanceof go)&&F.destroy()}}}class Ms{constructor(A,F,W=(()=>!0)){this.programConfigurations={};for(let te of A)this.programConfigurations[te.id]=new Is(te,F,W);this.needsUpload=!1,this._featureMap=new Wr,this._bufferOffset=0}populatePaintArrays(A,F,W,te,fe,pe){for(let Re in this.programConfigurations)this.programConfigurations[Re].populatePaintArrays(A,F,te,fe,pe);F.id!==void 0&&this._featureMap.add(F.id,W,this._bufferOffset,A),this._bufferOffset=A,this.needsUpload=!0}updatePaintArrays(A,F,W,te){for(let fe of W)this.needsUpload=this.programConfigurations[fe.id].updatePaintArrays(A,this._featureMap,F,fe,te)||this.needsUpload}get(A){return this.programConfigurations[A]}upload(A){if(this.needsUpload){for(let F in this.programConfigurations)this.programConfigurations[F].upload(A);this.needsUpload=!1}}destroy(){for(let A in 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er=[];for(W=0;W<Ke.length;W++)er[W]=Ke[W][0];Rt(Ke=er);break;case 2:for(W=0;W<Ke.length;W++)Rt(Ke[W]);break;case 3:for(Ke=(function(vr){var kr=vr.length;if(kr<=1)return[vr];for(var Dr,li,pi=[],vn=0;vn<kr;vn++){var zi=gn(vr[vn]);zi!==0&&(li===void 0&&(li=zi<0),li===zi<0?(Dr&&pi.push(Dr),Dr=[vr[vn]]):Dr.push(vr[vn]))}return Dr&&pi.push(Dr),pi})(Ke),W=0;W<Ke.length;W++)for(te=0;te<Ke[W].length;te++)Rt(Ke[W][te])}Ke.length===1?Ke=Ke[0]:ft=\"Multi\"+ft;var ur={type:\"Feature\",geometry:{type:ft,coordinates:Ke},properties:this.properties};return\"id\"in this&&(ur.id=this.id),ur};var tn=Di,Ei=Oi;function Oi(R,A){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=R,this._keys=[],this._values=[],this._features=[],R.readFields(Gi,this,A),this.length=this._features.length}function Gi(R,A,F){R===15?A.version=F.readVarint():R===1?A.name=F.readString():R===5?A.extent=F.readVarint():R===2?A._features.push(F.pos):R===3?A._keys.push(F.readString()):R===4&&A._values.push((function(W){for(var te=null,fe=W.readVarint()+W.pos;W.pos<fe;){var pe=W.readVarint()>>3;te=pe===1?W.readString():pe===2?W.readFloat():pe===3?W.readDouble():pe===4?W.readVarint64():pe===5?W.readVarint():pe===6?W.readSVarint():pe===7?W.readBoolean():null}return te})(F))}Oi.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var A=this._pbf.readVarint()+this._pbf.pos;return new tn(this._pbf,A,this.extent,this._keys,this._values)};var on=Ei;function zn(R,A,F){if(R===3){var W=new on(F,F.readVarint()+F.pos);W.length&&(A[W.name]=W)}}_r.VectorTile=function(R,A){this.layers=R.readFields(zn,{},A)},_r.VectorTileFeature=Di,_r.VectorTileLayer=Ei;let Ja=_r.VectorTileFeature.types,co=Math.pow(2,13);function ts(R,A,F,W,te,fe,pe,Re){R.emplaceBack(A,F,2*Math.floor(W*co)+pe,te*co*2,fe*co*2,Math.round(Re))}class so{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((F=>F.id)),this.index=A.index,this.hasPattern=!1,this.layoutVertexArray=new Nl,this.centroidVertexArray=new wo,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.stateDependentLayerIds=this.layers.filter((F=>F.isStateDependent())).map((F=>F.id))}populate(A,F,W){this.features=[],this.hasPattern=st(\"fill-extrusion\",this.layers,F);for(let{feature:te,id:fe,index:pe,sourceLayerIndex:Re}of A){let Ke=this.layers[0]._featureFilter.needGeometry,ft=Ml(te,Ke);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ft,W))continue;let Rt={id:fe,sourceLayerIndex:Re,index:pe,geometry:Ke?ft.geometry:$s(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(It(\"fill-extrusion\",this.layers,Rt,this.zoom,F)):this.addFeature(Rt,Rt.geometry,pe,W,{}),F.featureIndex.insert(te,Rt.geometry,pe,Re,this.index,!0)}}addFeatures(A,F,W){for(let te of this.features){let{geometry:fe}=te;this.addFeature(te,fe,te.index,F,W)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,lr),this.centroidVertexBuffer=A.createVertexBuffer(this.centroidVertexArray,vt.members,!0),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(A,F,W,te,fe){for(let pe of Cf(F,500)){let Re={x:0,y:0,vertexCount:0},Ke=0;for(let kr of pe)Ke+=kr.length;let ft=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let kr of pe){if(kr.length===0||ms(kr))continue;let Dr=0;for(let li=0;li<kr.length;li++){let pi=kr[li];if(li>=1){let vn=kr[li-1];if(!Yo(pi,vn)){ft.vertexLength+4>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ft=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let zi=pi.sub(vn)._perp()._unit(),ln=vn.dist(pi);Dr+ln>32768&&(Dr=0),ts(this.layoutVertexArray,pi.x,pi.y,zi.x,zi.y,0,0,Dr),ts(this.layoutVertexArray,pi.x,pi.y,zi.x,zi.y,0,1,Dr),Re.x+=2*pi.x,Re.y+=2*pi.y,Re.vertexCount+=2,Dr+=ln,ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,0,Dr),ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,1,Dr),Re.x+=2*vn.x,Re.y+=2*vn.y,Re.vertexCount+=2;let Tn=ft.vertexLength;this.indexArray.emplaceBack(Tn,Tn+2,Tn+1),this.indexArray.emplaceBack(Tn+1,Tn+2,Tn+3),ft.vertexLength+=4,ft.primitiveLength+=2}}}}if(ft.vertexLength+Ke>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ft=this.segments.prepareSegment(Ke,this.layoutVertexArray,this.indexArray)),Ja[A.type]!==\"Polygon\")continue;let Rt=[],er=[],ur=ft.vertexLength;for(let kr of pe)if(kr.length!==0){kr!==pe[0]&&er.push(Rt.length/2);for(let Dr=0;Dr<kr.length;Dr++){let li=kr[Dr];ts(this.layoutVertexArray,li.x,li.y,0,0,1,1,0),Re.x+=li.x,Re.y+=li.y,Re.vertexCount+=1,Rt.push(li.x),Rt.push(li.y)}}let vr=zo(Rt,er);for(let kr=0;kr<vr.length;kr+=3)this.indexArray.emplaceBack(ur+vr[kr],ur+vr[kr+2],ur+vr[kr+1]);ft.primitiveLength+=vr.length/3,ft.vertexLength+=Ke;for(let kr=0;kr<Re.vertexCount;kr++){let Dr=Math.floor(Re.x/Re.vertexCount),li=Math.floor(Re.y/Re.vertexCount);this.centroidVertexArray.emplaceBack(Dr,li)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,te)}}function Yo(R,A){return R.x===A.x&&(R.x<0||R.x>ja)||R.y===A.y&&(R.y<0||R.y>ja)}function ms(R){return R.every((A=>A.x<0))||R.every((A=>A.x>ja))||R.every((A=>A.y<0))||R.every((A=>A.y>ja))}let ou;Fi(\"FillExtrusionBucket\",so,{omit:[\"layers\",\"features\"]});var Cv={get paint(){return ou=ou||new ue({\"fill-extrusion-opacity\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Lv extends B{constructor(A){super(A,Cv)}createBucket(A){return new so(A)}queryRadius(){return Vn(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(A,F,W,te,fe,pe,Re,Ke){let ft=Qi(A,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),pe.angle,Re),Rt=this.paint.get(\"fill-extrusion-height\").evaluate(F,W),er=this.paint.get(\"fill-extrusion-base\").evaluate(F,W),ur=(function(kr,Dr,li,pi){let vn=[];for(let zi of kr){let ln=[zi.x,zi.y,0,1];qn(ln,ln,Dr),vn.push(new u(ln[0]/ln[3],ln[1]/ln[3]))}return vn})(ft,Ke),vr=(function(kr,Dr,li,pi){let vn=[],zi=[],ln=pi[8]*Dr,Tn=pi[9]*Dr,pa=pi[10]*Dr,ro=pi[11]*Dr,Vo=pi[8]*li,Xa=pi[9]*li,la=pi[10]*li,Mo=pi[11]*li;for(let fo of kr){let lo=[],Wn=[];for(let Ro of fo){let uo=Ro.x,$o=Ro.y,Ju=pi[0]*uo+pi[4]*$o+pi[12],Ou=pi[1]*uo+pi[5]*$o+pi[13],kh=pi[2]*uo+pi[6]*$o+pi[14],Qv=pi[3]*uo+pi[7]*$o+pi[15],ud=kh+pa,Ch=Qv+ro,Gd=Ju+Vo,Hd=Ou+Xa,jd=kh+la,Af=Qv+Mo,Lh=new u((Ju+ln)/Ch,(Ou+Tn)/Ch);Lh.z=ud/Ch,lo.push(Lh);let Ed=new u(Gd/Af,Hd/Af);Ed.z=jd/Af,Wn.push(Ed)}vn.push(lo),zi.push(Wn)}return[vn,zi]})(te,er,Rt,Ke);return(function(kr,Dr,li){let pi=1/0;bt(li,Dr)&&(pi=Kv(li,Dr[0]));for(let vn=0;vn<Dr.length;vn++){let zi=Dr[vn],ln=kr[vn];for(let Tn=0;Tn<zi.length-1;Tn++){let pa=zi[Tn],ro=[pa,zi[Tn+1],ln[Tn+1],ln[Tn],pa];Sc(li,ro)&&(pi=Math.min(pi,Kv(li,ro)))}}return pi!==1/0&&pi})(vr[0],vr[1],ur)}}function wd(R,A){return R.x*A.x+R.y*A.y}function Kv(R,A){if(R.length===1){let F=0,W=A[F++],te;for(;!te||W.equals(te);)if(te=A[F++],!te)return 1/0;for(;F<A.length;F++){let fe=A[F],pe=R[0],Re=te.sub(W),Ke=fe.sub(W),ft=pe.sub(W),Rt=wd(Re,Re),er=wd(Re,Ke),ur=wd(Ke,Ke),vr=wd(ft,Re),kr=wd(ft,Ke),Dr=Rt*ur-er*er,li=(ur*vr-er*kr)/Dr,pi=(Rt*kr-er*vr)/Dr,vn=W.z*(1-li-pi)+te.z*li+fe.z*pi;if(isFinite(vn))return vn}return 1/0}{let F=1/0;for(let W of A)F=Math.min(F,W.z);return F}}let hg=Fe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:gp}=hg,Td=Fe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:mp}=Td,Vd=_r.VectorTileFeature.types,Ad=Math.cos(Math.PI/180*37.5),Pv=Math.pow(2,14)/.5;class Jv{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((F=>F.id)),this.index=A.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((F=>{this.gradients[F.id]={}})),this.layoutVertexArray=new Lu,this.layoutVertexArray2=new au,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((F=>F.isStateDependent())).map((F=>F.id))}populate(A,F,W){this.hasPattern=st(\"line\",this.layers,F);let te=this.layers[0].layout.get(\"line-sort-key\"),fe=!te.isConstant(),pe=[];for(let{feature:Re,id:Ke,index:ft,sourceLayerIndex:Rt}of A){let er=this.layers[0]._featureFilter.needGeometry,ur=Ml(Re,er);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ur,W))continue;let vr=fe?te.evaluate(ur,{},W):void 0,kr={id:Ke,properties:Re.properties,type:Re.type,sourceLayerIndex:Rt,index:ft,geometry:er?ur.geometry:$s(Re),patterns:{},sortKey:vr};pe.push(kr)}fe&&pe.sort(((Re,Ke)=>Re.sortKey-Ke.sortKey));for(let Re of pe){let{geometry:Ke,index:ft,sourceLayerIndex:Rt}=Re;if(this.hasPattern){let er=It(\"line\",this.layers,Re,this.zoom,F);this.patternFeatures.push(er)}else this.addFeature(Re,Ke,ft,W,{});F.featureIndex.insert(A[ft].feature,Ke,ft,Rt,this.index)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}addFeatures(A,F,W){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,F,W)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=A.createVertexBuffer(this.layoutVertexArray2,mp)),this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,gp),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(A){if(A.properties&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_end\"))return{start:+A.properties.mapbox_clip_start,end:+A.properties.mapbox_clip_end}}addFeature(A,F,W,te,fe){let pe=this.layers[0].layout,Re=pe.get(\"line-join\").evaluate(A,{}),Ke=pe.get(\"line-cap\"),ft=pe.get(\"line-miter-limit\"),Rt=pe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(A);for(let er of F)this.addLine(er,A,Re,Ke,ft,Rt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,te)}addLine(A,F,W,te,fe,pe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let pi=0;pi<A.length-1;pi++)this.totalDistance+=A[pi].dist(A[pi+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let Re=Vd[F.type]===\"Polygon\",Ke=A.length;for(;Ke>=2&&A[Ke-1].equals(A[Ke-2]);)Ke--;let ft=0;for(;ft<Ke-1&&A[ft].equals(A[ft+1]);)ft++;if(Ke<(Re?3:2))return;W===\"bevel\"&&(fe=1.05);let Rt=this.overscaling<=16?15*ja/(512*this.overscaling):0,er=this.segments.prepareSegment(10*Ke,this.layoutVertexArray,this.indexArray),ur,vr,kr,Dr,li;this.e1=this.e2=-1,Re&&(ur=A[Ke-2],li=A[ft].sub(ur)._unit()._perp());for(let pi=ft;pi<Ke;pi++){if(kr=pi===Ke-1?Re?A[ft+1]:void 0:A[pi+1],kr&&A[pi].equals(kr))continue;li&&(Dr=li),ur&&(vr=ur),ur=A[pi],li=kr?kr.sub(ur)._unit()._perp():Dr,Dr=Dr||li;let vn=Dr.add(li);vn.x===0&&vn.y===0||vn._unit();let zi=Dr.x*li.x+Dr.y*li.y,ln=vn.x*li.x+vn.y*li.y,Tn=ln!==0?1/ln:1/0,pa=2*Math.sqrt(2-2*ln),ro=ln<Ad&&vr&&kr,Vo=Dr.x*li.y-Dr.y*li.x>0;if(ro&&pi>ft){let Mo=ur.dist(vr);if(Mo>2*Rt){let fo=ur.sub(ur.sub(vr)._mult(Rt/Mo)._round());this.updateDistance(vr,fo),this.addCurrentVertex(fo,Dr,0,0,er),vr=fo}}let Xa=vr&&kr,la=Xa?W:Re?\"butt\":te;if(Xa&&la===\"round\"&&(Tn<pe?la=\"miter\":Tn<=2&&(la=\"fakeround\")),la===\"miter\"&&Tn>fe&&(la=\"bevel\"),la===\"bevel\"&&(Tn>2&&(la=\"flipbevel\"),Tn<fe&&(la=\"miter\")),vr&&this.updateDistance(vr,ur),la===\"miter\")vn._mult(Tn),this.addCurrentVertex(ur,vn,0,0,er);else if(la===\"flipbevel\"){if(Tn>100)vn=li.mult(-1);else{let Mo=Tn*Dr.add(li).mag()/Dr.sub(li).mag();vn._perp()._mult(Mo*(Vo?-1:1))}this.addCurrentVertex(ur,vn,0,0,er),this.addCurrentVertex(ur,vn.mult(-1),0,0,er)}else if(la===\"bevel\"||la===\"fakeround\"){let Mo=-Math.sqrt(Tn*Tn-1),fo=Vo?Mo:0,lo=Vo?0:Mo;if(vr&&this.addCurrentVertex(ur,Dr,fo,lo,er),la===\"fakeround\"){let Wn=Math.round(180*pa/Math.PI/20);for(let Ro=1;Ro<Wn;Ro++){let uo=Ro/Wn;if(uo!==.5){let Ju=uo-.5;uo+=uo*Ju*(uo-1)*((1.0904+zi*(zi*(3.55645-1.43519*zi)-3.2452))*Ju*Ju+(.848013+zi*(.215638*zi-1.06021)))}let $o=li.sub(Dr)._mult(uo)._add(Dr)._unit()._mult(Vo?-1:1);this.addHalfVertex(ur,$o.x,$o.y,!1,Vo,0,er)}}kr&&this.addCurrentVertex(ur,li,-fo,-lo,er)}else if(la===\"butt\")this.addCurrentVertex(ur,vn,0,0,er);else if(la===\"square\"){let Mo=vr?1:-1;this.addCurrentVertex(ur,vn,Mo,Mo,er)}else la===\"round\"&&(vr&&(this.addCurrentVertex(ur,Dr,0,0,er),this.addCurrentVertex(ur,Dr,1,1,er,!0)),kr&&(this.addCurrentVertex(ur,li,-1,-1,er,!0),this.addCurrentVertex(ur,li,0,0,er)));if(ro&&pi<Ke-1){let Mo=ur.dist(kr);if(Mo>2*Rt){let fo=ur.add(kr.sub(ur)._mult(Rt/Mo)._round());this.updateDistance(ur,fo),this.addCurrentVertex(fo,li,0,0,er),ur=fo}}}}addCurrentVertex(A,F,W,te,fe,pe=!1){let Re=F.y*te-F.x,Ke=-F.y-F.x*te;this.addHalfVertex(A,F.x+F.y*W,F.y-F.x*W,pe,!1,W,fe),this.addHalfVertex(A,Re,Ke,pe,!0,-te,fe),this.distance>Pv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(A,F,W,te,fe,pe))}addHalfVertex({x:A,y:F},W,te,fe,pe,Re,Ke){let ft=.5*(this.lineClips?this.scaledDistance*(Pv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((A<<1)+(fe?1:0),(F<<1)+(pe?1:0),Math.round(63*W)+128,Math.round(63*te)+128,1+(Re===0?0:Re<0?-1:1)|(63&ft)<<2,ft>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Rt=Ke.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Rt),Ke.primitiveLength++),pe?this.e2=Rt:this.e1=Rt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(A,F){this.distance+=A.dist(F),this.updateScaledDistance()}}let Iv,dy;Fi(\"LineBucket\",Jv,{omit:[\"layers\",\"patternFeatures\"]});var dg={get paint(){return dy=dy||new ue({\"line-opacity\":new oo(ce.paint_line[\"line-opacity\"]),\"line-color\":new oo(ce.paint_line[\"line-color\"]),\"line-translate\":new Va(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Va(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new oo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new oo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new oo(ce.paint_line[\"line-offset\"]),\"line-blur\":new oo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new hc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new Ku(ce.paint_line[\"line-gradient\"])})},get layout(){return Iv=Iv||new ue({\"line-cap\":new Va(ce.layout_line[\"line-cap\"]),\"line-join\":new oo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Va(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Va(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new oo(ce.layout_line[\"line-sort-key\"])})}};class oh extends oo{possiblyEvaluate(A,F){return F=new rs(Math.floor(F.zoom),{now:F.now,fadeDuration:F.fadeDuration,zoomHistory:F.zoomHistory,transition:F.transition}),super.possiblyEvaluate(A,F)}evaluate(A,F,W,te){return F=L({},F,{zoom:Math.floor(F.zoom)}),super.evaluate(A,F,W,te)}}let vg;class vy extends B{constructor(A){super(A,dg),this.gradientVersion=0,vg||(vg=new oh(dg.paint.properties[\"line-width\"].specification),vg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(A){if(A===\"line-gradient\"){let F=this.gradientExpression();this.stepInterpolant=!!(function(W){return W._styleExpression!==void 0})(F)&&F._styleExpression.expression instanceof _n,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(A,F){super.recalculate(A,F),this.paint._values[\"line-floorwidth\"]=vg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,A)}createBucket(A){return new Jv(A)}queryRadius(A){let F=A,W=Zh(Si(\"line-width\",this,F),Si(\"line-gap-width\",this,F)),te=Si(\"line-offset\",this,F);return W/2+Math.abs(te)+Vn(this.paint.get(\"line-translate\"))}queryIntersectsFeature(A,F,W,te,fe,pe,Re){let Ke=Qi(A,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),pe.angle,Re),ft=Re/2*Zh(this.paint.get(\"line-width\").evaluate(F,W),this.paint.get(\"line-gap-width\").evaluate(F,W)),Rt=this.paint.get(\"line-offset\").evaluate(F,W);return Rt&&(te=(function(er,ur){let vr=[];for(let kr=0;kr<er.length;kr++){let Dr=er[kr],li=[];for(let pi=0;pi<Dr.length;pi++){let vn=Dr[pi-1],zi=Dr[pi],ln=Dr[pi+1],Tn=pi===0?new u(0,0):zi.sub(vn)._unit()._perp(),pa=pi===Dr.length-1?new u(0,0):ln.sub(zi)._unit()._perp(),ro=Tn._add(pa)._unit(),Vo=ro.x*pa.x+ro.y*pa.y;Vo!==0&&ro._mult(1/Vo),li.push(ro._mult(ur)._add(zi))}vr.push(li)}return vr})(te,Rt*Re)),(function(er,ur,vr){for(let kr=0;kr<ur.length;kr++){let Dr=ur[kr];if(er.length>=3){for(let 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zC(R,A){let{expression:F}=A;if(F.kind===\"constant\")return{kind:\"constant\",layoutSize:F.evaluate(new rs(R+1))};if(F.kind===\"source\")return{kind:\"source\"};{let{zoomStops:W,interpolationType:te}=F,fe=0;for(;fe<W.length&&W[fe]<=R;)fe++;fe=Math.max(0,fe-1);let pe=fe;for(;pe<W.length&&W[pe]<R+1;)pe++;pe=Math.min(W.length-1,pe);let Re=W[fe],Ke=W[pe];return F.kind===\"composite\"?{kind:\"composite\",minZoom:Re,maxZoom:Ke,interpolationType:te}:{kind:\"camera\",minZoom:Re,maxZoom:Ke,minSize:F.evaluate(new rs(Re)),maxSize:F.evaluate(new rs(Ke)),interpolationType:te}}}function vS(R,A,F){let W=\"never\",te=R.get(A);return te?W=te:R.get(F)&&(W=\"always\"),W}let iq=_r.VectorTileFeature.types,nq=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Zw(R,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=Re?Math.min(fm,Math.round(Re[0])):0,kr=Re?Math.min(fm,Math.round(Re[1])):0;R.emplaceBack(A,F,Math.round(32*W),Math.round(32*te),fe,pe,(vr<<1)+(Ke?1:0),kr,16*ft,16*Rt,256*er,256*ur)}function pS(R,A,F){R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F)}function gS(R){for(let A of R.sections)if(no(A.text))return!0;return!1}class mS{constructor(A){this.layoutVertexArray=new eu,this.indexArray=new se,this.programConfigurations=A,this.segments=new Ye,this.dynamicLayoutVertexArray=new dc,this.opacityVertexArray=new Al,this.hasVisibleVertices=!1,this.placedSymbolArray=new Aa}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(A,F,W,te){this.isEmpty()||(W&&(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,am.members),this.indexBuffer=A.createIndexBuffer(this.indexArray,F),this.dynamicLayoutVertexBuffer=A.createVertexBuffer(this.dynamicLayoutVertexArray,C1.members,!0),this.opacityVertexBuffer=A.createVertexBuffer(this.opacityVertexArray,nq,!0),this.opacityVertexBuffer.itemSize=1),(W||te)&&this.programConfigurations.upload(A))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Fi(\"SymbolBuffers\",mS);class hm{constructor(A,F,W){this.layoutVertexArray=new A,this.layoutAttributes=F,this.indexArray=new W,this.segments=new Ye,this.collisionVertexArray=new X}upload(A){this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=A.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=A.createVertexBuffer(this.collisionVertexArray,L1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Fi(\"CollisionBuffers\",hm);class D1{constructor(A){this.collisionBoxArray=A.collisionBoxArray,this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((pe=>pe.id)),this.index=A.index,this.pixelRatio=A.pixelRatio,this.sourceLayerIndex=A.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Ii([]),this.placementViewportMatrix=Ii([]);let F=this.layers[0]._unevaluatedLayout._values;this.textSizeData=zC(this.zoom,F[\"text-size\"]),this.iconSizeData=zC(this.zoom,F[\"icon-size\"]);let W=this.layers[0].layout,te=W.get(\"symbol-sort-key\"),fe=W.get(\"symbol-z-order\");this.canOverlap=vS(W,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||vS(W,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||W.get(\"text-ignore-placement\")||W.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,W.get(\"symbol-placement\")===\"point\"&&(this.writingModes=W.get(\"text-writing-mode\").map((pe=>i.ah[pe]))),this.stateDependentLayerIds=this.layers.filter((pe=>pe.isStateDependent())).map((pe=>pe.id)),this.sourceID=A.sourceID}createArrays(){this.text=new mS(new Ms(this.layers,this.zoom,(A=>/^text/.test(A)))),this.icon=new mS(new Ms(this.layers,this.zoom,(A=>/^icon/.test(A)))),this.glyphOffsetArray=new Co,this.lineVertexArray=new Qa,this.symbolInstances=new $a,this.textAnchorOffsets=new Bo}calculateGlyphDependencies(A,F,W,te,fe){for(let pe=0;pe<A.length;pe++)if(F[A.charCodeAt(pe)]=!0,(W||te)&&fe){let Re=vc[A.charAt(pe)];Re&&(F[Re.charCodeAt(0)]=!0)}}populate(A,F,W){let te=this.layers[0],fe=te.layout,pe=fe.get(\"text-font\"),Re=fe.get(\"text-field\"),Ke=fe.get(\"icon-image\"),ft=(Re.value.kind!==\"constant\"||Re.value.value instanceof ti&&!Re.value.value.isEmpty()||Re.value.value.toString().length>0)&&(pe.value.kind!==\"constant\"||pe.value.value.length>0),Rt=Ke.value.kind!==\"constant\"||!!Ke.value.value||Object.keys(Ke.parameters).length>0,er=fe.get(\"symbol-sort-key\");if(this.features=[],!ft&&!Rt)return;let ur=F.iconDependencies,vr=F.glyphDependencies,kr=F.availableImages,Dr=new rs(this.zoom);for(let{feature:li,id:pi,index:vn,sourceLayerIndex:zi}of A){let ln=te._featureFilter.needGeometry,Tn=Ml(li,ln);if(!te._featureFilter.filter(Dr,Tn,W))continue;let pa,ro;if(ln||(Tn.geometry=$s(li)),ft){let Xa=te.getValueAndResolveTokens(\"text-field\",Tn,W,kr),la=ti.factory(Xa),Mo=this.hasRTLText=this.hasRTLText||gS(la);(!Mo||ys.getRTLTextPluginStatus()===\"unavailable\"||Mo&&ys.isParsed())&&(pa=sm(la,te,Tn))}if(Rt){let Xa=te.getValueAndResolveTokens(\"icon-image\",Tn,W,kr);ro=Xa instanceof en?Xa:en.fromString(Xa)}if(!pa&&!ro)continue;let Vo=this.sortFeaturesByKey?er.evaluate(Tn,{},W):void 0;if(this.features.push({id:pi,text:pa,icon:ro,index:vn,sourceLayerIndex:zi,geometry:Tn.geometry,properties:li.properties,type:iq[li.type],sortKey:Vo}),ro&&(ur[ro.name]=!0),pa){let Xa=pe.evaluate(Tn,{},W).join(\",\"),la=fe.get(\"text-rotation-alignment\")!==\"viewport\"&&fe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let Mo of pa.sections)if(Mo.image)ur[Mo.image.name]=!0;else{let fo=Ka(pa.toString()),lo=Mo.fontStack||Xa,Wn=vr[lo]=vr[lo]||{};this.calculateGlyphDependencies(Mo.text,Wn,la,this.allowVerticalPlacement,fo)}}}fe.get(\"symbol-placement\")===\"line\"&&(this.features=(function(li){let pi={},vn={},zi=[],ln=0;function Tn(Xa){zi.push(li[Xa]),ln++}function pa(Xa,la,Mo){let fo=vn[Xa];return delete vn[Xa],vn[la]=fo,zi[fo].geometry[0].pop(),zi[fo].geometry[0]=zi[fo].geometry[0].concat(Mo[0]),fo}function ro(Xa,la,Mo){let fo=pi[la];return delete pi[la],pi[Xa]=fo,zi[fo].geometry[0].shift(),zi[fo].geometry[0]=Mo[0].concat(zi[fo].geometry[0]),fo}function Vo(Xa,la,Mo){let fo=Mo?la[0][la[0].length-1]:la[0][0];return`${Xa}:${fo.x}:${fo.y}`}for(let Xa=0;Xa<li.length;Xa++){let la=li[Xa],Mo=la.geometry,fo=la.text?la.text.toString():null;if(!fo){Tn(Xa);continue}let lo=Vo(fo,Mo),Wn=Vo(fo,Mo,!0);if(lo in vn&&Wn in pi&&vn[lo]!==pi[Wn]){let Ro=ro(lo,Wn,Mo),uo=pa(lo,Wn,zi[Ro].geometry);delete pi[lo],delete vn[Wn],vn[Vo(fo,zi[uo].geometry,!0)]=uo,zi[Ro].geometry=null}else lo in vn?pa(lo,Wn,Mo):Wn in pi?ro(lo,Wn,Mo):(Tn(Xa),pi[lo]=ln-1,vn[Wn]=ln-1)}return zi.filter((Xa=>Xa.geometry))})(this.features)),this.sortFeaturesByKey&&this.features.sort(((li,pi)=>li.sortKey-pi.sortKey))}update(A,F,W){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(A,F,this.layers,W),this.icon.programConfigurations.updatePaintArrays(A,F,this.layers,W))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(A){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(A),this.iconCollisionBox.upload(A)),this.text.upload(A,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(A,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(A,F){let W=this.lineVertexArray.length;if(A.segment!==void 0){let te=A.dist(F[A.segment+1]),fe=A.dist(F[A.segment]),pe={};for(let Re=A.segment+1;Re<F.length;Re++)pe[Re]={x:F[Re].x,y:F[Re].y,tileUnitDistanceFromAnchor:te},Re<F.length-1&&(te+=F[Re+1].dist(F[Re]));for(let Re=A.segment||0;Re>=0;Re--)pe[Re]={x:F[Re].x,y:F[Re].y,tileUnitDistanceFromAnchor:fe},Re>0&&(fe+=F[Re-1].dist(F[Re]));for(let Re=0;Re<F.length;Re++){let Ke=pe[Re];this.lineVertexArray.emplaceBack(Ke.x,Ke.y,Ke.tileUnitDistanceFromAnchor)}}return{lineStartIndex:W,lineLength:this.lineVertexArray.length-W}}addSymbols(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=A.indexArray,kr=A.layoutVertexArray,Dr=A.segments.prepareSegment(4*F.length,kr,vr,this.canOverlap?pe.sortKey:void 0),li=this.glyphOffsetArray.length,pi=Dr.vertexLength,vn=this.allowVerticalPlacement&&Re===i.ah.vertical?Math.PI/2:0,zi=pe.text&&pe.text.sections;for(let ln=0;ln<F.length;ln++){let{tl:Tn,tr:pa,bl:ro,br:Vo,tex:Xa,pixelOffsetTL:la,pixelOffsetBR:Mo,minFontScaleX:fo,minFontScaleY:lo,glyphOffset:Wn,isSDF:Ro,sectionIndex:uo}=F[ln],$o=Dr.vertexLength,Ju=Wn[1];Zw(kr,Ke.x,Ke.y,Tn.x,Ju+Tn.y,Xa.x,Xa.y,W,Ro,la.x,la.y,fo,lo),Zw(kr,Ke.x,Ke.y,pa.x,Ju+pa.y,Xa.x+Xa.w,Xa.y,W,Ro,Mo.x,la.y,fo,lo),Zw(kr,Ke.x,Ke.y,ro.x,Ju+ro.y,Xa.x,Xa.y+Xa.h,W,Ro,la.x,Mo.y,fo,lo),Zw(kr,Ke.x,Ke.y,Vo.x,Ju+Vo.y,Xa.x+Xa.w,Xa.y+Xa.h,W,Ro,Mo.x,Mo.y,fo,lo),pS(A.dynamicLayoutVertexArray,Ke,vn),vr.emplaceBack($o,$o+1,$o+2),vr.emplaceBack($o+1,$o+2,$o+3),Dr.vertexLength+=4,Dr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Wn[0]),ln!==F.length-1&&uo===F[ln+1].sectionIndex||A.programConfigurations.populatePaintArrays(kr.length,pe,pe.index,{},ur,zi&&zi[uo])}A.placedSymbolArray.emplaceBack(Ke.x,Ke.y,li,this.glyphOffsetArray.length-li,pi,ft,Rt,Ke.segment,W?W[0]:0,W?W[1]:0,te[0],te[1],Re,0,!1,0,er)}_addCollisionDebugVertex(A,F,W,te,fe,pe){return F.emplaceBack(0,0),A.emplaceBack(W.x,W.y,te,fe,Math.round(pe.x),Math.round(pe.y))}addCollisionDebugVertices(A,F,W,te,fe,pe,Re){let Ke=fe.segments.prepareSegment(4,fe.layoutVertexArray,fe.indexArray),ft=Ke.vertexLength,Rt=fe.layoutVertexArray,er=fe.collisionVertexArray,ur=Re.anchorX,vr=Re.anchorY;this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(A,F)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(W,F)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(W,te)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(A,te)),Ke.vertexLength+=4;let kr=fe.indexArray;kr.emplaceBack(ft,ft+1),kr.emplaceBack(ft+1,ft+2),kr.emplaceBack(ft+2,ft+3),kr.emplaceBack(ft+3,ft),Ke.primitiveLength+=4}addDebugCollisionBoxes(A,F,W,te){for(let fe=A;fe<F;fe++){let pe=this.collisionBoxArray.get(fe);this.addCollisionDebugVertices(pe.x1,pe.y1,pe.x2,pe.y2,te?this.textCollisionBox:this.iconCollisionBox,pe.anchorPoint,W)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hm(Sl,py.members,Te),this.iconCollisionBox=new hm(Sl,py.members,Te);for(let A=0;A<this.symbolInstances.length;A++){let F=this.symbolInstances.get(A);this.addDebugCollisionBoxes(F.textBoxStartIndex,F.textBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.verticalTextBoxStartIndex,F.verticalTextBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.iconBoxStartIndex,F.iconBoxEndIndex,F,!1),this.addDebugCollisionBoxes(F.verticalIconBoxStartIndex,F.verticalIconBoxEndIndex,F,!1)}}_deserializeCollisionBoxesForSymbol(A,F,W,te,fe,pe,Re,Ke,ft){let Rt={};for(let er=F;er<W;er++){let ur=A.get(er);Rt.textBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.textFeatureIndex=ur.featureIndex;break}for(let er=te;er<fe;er++){let ur=A.get(er);Rt.verticalTextBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.verticalTextFeatureIndex=ur.featureIndex;break}for(let er=pe;er<Re;er++){let ur=A.get(er);Rt.iconBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.iconFeatureIndex=ur.featureIndex;break}for(let er=Ke;er<ft;er++){let ur=A.get(er);Rt.verticalIconBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.verticalIconFeatureIndex=ur.featureIndex;break}return Rt}deserializeCollisionBoxes(A){this.collisionArrays=[];for(let F=0;F<this.symbolInstances.length;F++){let W=this.symbolInstances.get(F);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(A,W.textBoxStartIndex,W.textBoxEndIndex,W.verticalTextBoxStartIndex,W.verticalTextBoxEndIndex,W.iconBoxStartIndex,W.iconBoxEndIndex,W.verticalIconBoxStartIndex,W.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(A,F){let W=A.placedSymbolArray.get(F),te=W.vertexStartIndex+4*W.numGlyphs;for(let fe=W.vertexStartIndex;fe<te;fe+=4)A.indexArray.emplaceBack(fe,fe+1,fe+2),A.indexArray.emplaceBack(fe+1,fe+2,fe+3)}getSortedSymbolIndexes(A){if(this.sortedAngle===A&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let F=Math.sin(A),W=Math.cos(A),te=[],fe=[],pe=[];for(let Re=0;Re<this.symbolInstances.length;++Re){pe.push(Re);let Ke=this.symbolInstances.get(Re);te.push(0|Math.round(F*Ke.anchorX+W*Ke.anchorY)),fe.push(Ke.featureIndex)}return pe.sort(((Re,Ke)=>te[Re]-te[Ke]||fe[Ke]-fe[Re])),pe}addToSortKeyRanges(A,F){let W=this.sortKeyRanges[this.sortKeyRanges.length-1];W&&W.sortKey===F?W.symbolInstanceEnd=A+1:this.sortKeyRanges.push({sortKey:F,symbolInstanceStart:A,symbolInstanceEnd:A+1})}sortFeatures(A){if(this.sortFeaturesByY&&this.sortedAngle!==A&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(A),this.sortedAngle=A,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let F of this.symbolInstanceIndexes){let W=this.symbolInstances.get(F);this.featureSortOrder.push(W.featureIndex),[W.rightJustifiedTextSymbolIndex,W.centerJustifiedTextSymbolIndex,W.leftJustifiedTextSymbolIndex].forEach(((te,fe,pe)=>{te>=0&&pe.indexOf(te)===fe&&this.addIndicesForPlacedSymbol(this.text,te)})),W.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,W.verticalPlacedTextSymbolIndex),W.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.placedIconSymbolIndex),W.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Tf,ib;Fi(\"SymbolBucket\",D1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),D1.MAX_GLYPHS=65535,D1.addDynamicAttributes=pS;var Yw={get paint(){return ib=ib||new ue({\"icon-opacity\":new oo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new oo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new oo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new oo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new oo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Va(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Va(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new oo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new oo(ce.paint_symbol[\"text-color\"],{runtimeType:jt,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new oo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new oo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new oo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Va(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Va(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Tf=Tf||new ue({\"symbol-placement\":new Va(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Va(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Va(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new oo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Va(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Va(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Va(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Va(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Va(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Va(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new oo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Va(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Va(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new oo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new oo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new oo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Va(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new oo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new oo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Va(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Va(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Va(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new oo(ce.layout_symbol[\"text-field\"]),\"text-font\":new oo(ce.layout_symbol[\"text-font\"]),\"text-size\":new oo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new oo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Va(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new oo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new oo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new oo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Va(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new oo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new oo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Va(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Va(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new oo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Va(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Va(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new oo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new oo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Va(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Va(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Va(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Va(ce.layout_symbol[\"text-optional\"])})}};class nb{constructor(A){if(A.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=A.property.overrides?A.property.overrides.runtimeType:Tt,this.defaultValue=A}evaluate(A){if(A.formattedSection){let F=this.defaultValue.property.overrides;if(F&&F.hasOverride(A.formattedSection))return F.getOverride(A.formattedSection)}return A.feature&&A.featureState?this.defaultValue.evaluate(A.feature,A.featureState):this.defaultValue.property.specification.default}eachChild(A){this.defaultValue.isConstant()||A(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Fi(\"FormatSectionOverride\",nb,{omit:[\"defaultValue\"]});class yy extends B{constructor(A){super(A,Yw)}recalculate(A,F){if(super.recalculate(A,F),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let W=this.layout.get(\"text-writing-mode\");if(W){let te=[];for(let fe of W)te.indexOf(fe)<0&&te.push(fe);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(A,F,W,te){let fe=this.layout.get(A).evaluate(F,{},W,te),pe=this._unevaluatedLayout._values[A];return pe.isDataDriven()||Dc(pe.value)||!fe?fe:(function(Re,Ke){return Ke.replace(/{([^{}]+)}/g,((ft,Rt)=>Re&&Rt in Re?String(Re[Rt]):\"\"))})(F.properties,fe)}createBucket(A){return new D1(A)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let A of Yw.paint.overridableProperties){if(!yy.hasPaintOverride(this.layout,A))continue;let F=this.paint.get(A),W=new nb(F),te=new Eu(W,F.property.specification),fe=null;fe=F.value.kind===\"constant\"||F.value.kind===\"source\"?new bc(\"source\",te):new hu(\"composite\",te,F.value.zoomStops),this.paint._values[A]=new xu(F.property,fe,F.parameters)}}_handleOverridablePaintPropertyUpdate(A,F,W){return!(!this.layout||F.isDataDriven()||W.isDataDriven())&&yy.hasPaintOverride(this.layout,A)}static hasPaintOverride(A,F){let W=A.get(\"text-field\"),te=Yw.paint.properties[F],fe=!1,pe=Re=>{for(let Ke of Re)if(te.overrides&&te.overrides.hasOverride(Ke))return void(fe=!0)};if(W.value.kind===\"constant\"&&W.value.value instanceof ti)pe(W.value.value.sections);else if(W.value.kind===\"source\"){let Re=ft=>{fe||(ft instanceof ua&&Mn(ft.value)===ei?pe(ft.value.sections):ft instanceof Yl?pe(ft.sections):ft.eachChild(Re))},Ke=W.value;Ke._styleExpression&&Re(Ke._styleExpression.expression)}return fe}}let qC;var ab={get paint(){return qC=qC||new ue({\"background-color\":new Va(ce.paint_background[\"background-color\"]),\"background-pattern\":new hc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Va(ce.paint_background[\"background-opacity\"])})}};class aq extends B{constructor(A){super(A,ab)}}let yS;var OC={get paint(){return yS=yS||new ue({\"raster-opacity\":new Va(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Va(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Va(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Va(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Va(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Va(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Va(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Va(ce.paint_raster[\"raster-fade-duration\"])})}};class ob extends B{constructor(A){super(A,OC)}}class _S extends B{constructor(A){super(A,{}),this.onAdd=F=>{this.implementation.onAdd&&this.implementation.onAdd(F,F.painter.context.gl)},this.onRemove=F=>{this.implementation.onRemove&&this.implementation.onRemove(F,F.painter.context.gl)},this.implementation=A}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class xS{constructor(A){this._methodToThrottle=A,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let bS=63710088e-1;class pg{constructor(A,F){if(isNaN(A)||isNaN(F))throw new Error(`Invalid LngLat object: (${A}, ${F})`);if(this.lng=+A,this.lat=+F,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new pg(T(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(A){let F=Math.PI/180,W=this.lat*F,te=A.lat*F,fe=Math.sin(W)*Math.sin(te)+Math.cos(W)*Math.cos(te)*Math.cos((A.lng-this.lng)*F);return bS*Math.acos(Math.min(fe,1))}static convert(A){if(A instanceof pg)return A;if(Array.isArray(A)&&(A.length===2||A.length===3))return new pg(Number(A[0]),Number(A[1]));if(!Array.isArray(A)&&typeof A==\"object\"&&A!==null)return new pg(Number(\"lng\"in A?A.lng:A.lon),Number(A.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}let F1=2*Math.PI*bS;function BC(R){return F1*Math.cos(R*Math.PI/180)}function Kw(R){return(180+R)/360}function NC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function Jw(R,A){return R/BC(A)}function sb(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class lb{constructor(A,F,W=0){this.x=+A,this.y=+F,this.z=+W}static fromLngLat(A,F=0){let W=pg.convert(A);return new lb(Kw(W.lng),NC(W.lat),Jw(F,W.lat))}toLngLat(){return new pg(360*this.x-180,sb(this.y))}toAltitude(){return this.z*BC(sb(this.y))}meterInMercatorCoordinateUnits(){return 1/F1*(A=sb(this.y),1/Math.cos(A*Math.PI/180));var A}}function yp(R,A,F){var W=2*Math.PI*6378137/256/Math.pow(2,F);return[R*W-2*Math.PI*6378137/2,A*W-2*Math.PI*6378137/2]}class wS{constructor(A,F,W){if(!(function(te,fe,pe){return!(te<0||te>25||pe<0||pe>=Math.pow(2,te)||fe<0||fe>=Math.pow(2,te))})(A,F,W))throw new Error(`x=${F}, y=${W}, z=${A} outside of bounds. 0<=x<${Math.pow(2,A)}, 0<=y<${Math.pow(2,A)} 0<=z<=25 `);this.z=A,this.x=F,this.y=W,this.key=ub(0,A,A,F,W)}equals(A){return this.z===A.z&&this.x===A.x&&this.y===A.y}url(A,F,W){let te=(pe=this.y,Re=this.z,Ke=yp(256*(fe=this.x),256*(pe=Math.pow(2,Re)-pe-1),Re),ft=yp(256*(fe+1),256*(pe+1),Re),Ke[0]+\",\"+Ke[1]+\",\"+ft[0]+\",\"+ft[1]);var fe,pe,Re,Ke,ft;let Rt=(function(er,ur,vr){let kr,Dr=\"\";for(let li=er;li>0;li--)kr=1<<li-1,Dr+=(ur&kr?1:0)+(vr&kr?2:0);return Dr})(this.z,this.x,this.y);return A[(this.x+this.y)%A.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(W===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,F>1?\"@2x\":\"\").replace(/{quadkey}/g,Rt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(A){let F=this.z-A.z;return F>0&&A.x===this.x>>F&&A.y===this.y>>F}getTilePoint(A){let F=Math.pow(2,this.z);return new u((A.x*F-this.x)*ja,(A.y*F-this.y)*ja)}toString(){return`${this.z}/${this.x}/${this.y}`}}class UC{constructor(A,F){this.wrap=A,this.canonical=F,this.key=ub(A,F.z,F.z,F.x,F.y)}}class $v{constructor(A,F,W,te,fe){if(A<W)throw new Error(`overscaledZ should be >= z; overscaledZ = ${A}; z = ${W}`);this.overscaledZ=A,this.wrap=F,this.canonical=new wS(W,+te,+fe),this.key=ub(F,A,W,te,fe)}clone(){return new $v(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(A){return this.overscaledZ===A.overscaledZ&&this.wrap===A.wrap&&this.canonical.equals(A.canonical)}scaledTo(A){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let F=this.canonical.z-A;return A>this.canonical.z?new $v(A,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new $v(A,this.wrap,A,this.canonical.x>>F,this.canonical.y>>F)}calculateScaledKey(A,F){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let W=this.canonical.z-A;return A>this.canonical.z?ub(this.wrap*+F,A,this.canonical.z,this.canonical.x,this.canonical.y):ub(this.wrap*+F,A,A,this.canonical.x>>W,this.canonical.y>>W)}isChildOf(A){if(A.wrap!==this.wrap)return!1;let F=this.canonical.z-A.canonical.z;return A.overscaledZ===0||A.overscaledZ<this.overscaledZ&&A.canonical.x===this.canonical.x>>F&&A.canonical.y===this.canonical.y>>F}children(A){if(this.overscaledZ>=A)return[new $v(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let F=this.canonical.z+1,W=2*this.canonical.x,te=2*this.canonical.y;return[new $v(F,this.wrap,F,W,te),new $v(F,this.wrap,F,W+1,te),new $v(F,this.wrap,F,W,te+1),new $v(F,this.wrap,F,W+1,te+1)]}isLessThan(A){return this.wrap<A.wrap||!(this.wrap>A.wrap)&&(this.overscaledZ<A.overscaledZ||!(this.overscaledZ>A.overscaledZ)&&(this.canonical.x<A.canonical.x||!(this.canonical.x>A.canonical.x)&&this.canonical.y<A.canonical.y))}wrapped(){return new $v(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(A){return new $v(this.overscaledZ,A,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new UC(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(A){return this.canonical.getTilePoint(new lb(A.x-this.wrap,A.y))}}function ub(R,A,F,W,te){(R*=2)<0&&(R=-1*R-1);let fe=1<<F;return(fe*fe*R+fe*te+W).toString(36)+F.toString(36)+A.toString(36)}Fi(\"CanonicalTileID\",wS),Fi(\"OverscaledTileID\",$v,{omit:[\"posMatrix\"]});class VC{constructor(A,F,W,te=1,fe=1,pe=1,Re=0){if(this.uid=A,F.height!==F.width)throw new RangeError(\"DEM tiles must be square\");if(W&&![\"mapbox\",\"terrarium\",\"custom\"].includes(W))return void E(`\"${W}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=F.height;let Ke=this.dim=F.height-2;switch(this.data=new Uint32Array(F.data.buffer),W){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=te,this.greenFactor=fe,this.blueFactor=pe,this.baseShift=Re;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let ft=0;ft<Ke;ft++)this.data[this._idx(-1,ft)]=this.data[this._idx(0,ft)],this.data[this._idx(Ke,ft)]=this.data[this._idx(Ke-1,ft)],this.data[this._idx(ft,-1)]=this.data[this._idx(ft,0)],this.data[this._idx(ft,Ke)]=this.data[this._idx(ft,Ke-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ke,-1)]=this.data[this._idx(Ke-1,0)],this.data[this._idx(-1,Ke)]=this.data[this._idx(0,Ke-1)],this.data[this._idx(Ke,Ke)]=this.data[this._idx(Ke-1,Ke-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let ft=0;ft<Ke;ft++)for(let Rt=0;Rt<Ke;Rt++){let er=this.get(ft,Rt);er>this.max&&(this.max=er),er<this.min&&(this.min=er)}}get(A,F){let W=new Uint8Array(this.data.buffer),te=4*this._idx(A,F);return this.unpack(W[te],W[te+1],W[te+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(A,F){if(A<-1||A>=this.dim+1||F<-1||F>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(F+1)*this.stride+(A+1)}unpack(A,F,W){return A*this.redFactor+F*this.greenFactor+W*this.blueFactor-this.baseShift}getPixels(){return new Ki({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(A,F,W){if(this.dim!==A.dim)throw new Error(\"dem dimension mismatch\");let te=F*this.dim,fe=F*this.dim+this.dim,pe=W*this.dim,Re=W*this.dim+this.dim;switch(F){case-1:te=fe-1;break;case 1:fe=te+1}switch(W){case-1:pe=Re-1;break;case 1:Re=pe+1}let Ke=-F*this.dim,ft=-W*this.dim;for(let Rt=pe;Rt<Re;Rt++)for(let er=te;er<fe;er++)this.data[this._idx(er,Rt)]=A.data[this._idx(er+Ke,Rt+ft)]}}Fi(\"DEMData\",VC);class GC{constructor(A){this._stringToNumber={},this._numberToString=[];for(let F=0;F<A.length;F++){let W=A[F];this._stringToNumber[W]=F,this._numberToString[F]=W}}encode(A){return this._stringToNumber[A]}decode(A){if(A>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${A} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[A]}}class TS{constructor(A,F,W,te,fe){this.type=\"Feature\",this._vectorTileFeature=A,A._z=F,A._x=W,A._y=te,this.properties=A.properties,this.id=fe}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(A){this._geometry=A}toJSON(){let A={geometry:this.geometry};for(let F in this)F!==\"_geometry\"&&F!==\"_vectorTileFeature\"&&(A[F]=this[F]);return A}}class _y{constructor(A,F){this.tileID=A,this.x=A.canonical.x,this.y=A.canonical.y,this.z=A.canonical.z,this.grid=new $i(ja,16,0),this.grid3D=new $i(ja,16,0),this.featureIndexArray=new Ts,this.promoteId=F}insert(A,F,W,te,fe,pe){let Re=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(W,te,fe);let Ke=pe?this.grid3D:this.grid;for(let ft=0;ft<F.length;ft++){let Rt=F[ft],er=[1/0,1/0,-1/0,-1/0];for(let ur=0;ur<Rt.length;ur++){let vr=Rt[ur];er[0]=Math.min(er[0],vr.x),er[1]=Math.min(er[1],vr.y),er[2]=Math.max(er[2],vr.x),er[3]=Math.max(er[3],vr.y)}er[0]<ja&&er[1]<ja&&er[2]>=0&&er[3]>=0&&Ke.insert(Re,er[0],er[1],er[2],er[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new _r.VectorTile(new fS(this.rawTileData)).layers,this.sourceLayerCoder=new GC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(A,F,W,te){this.loadVTLayers();let fe=A.params||{},pe=ja/A.tileSize/A.scale,Re=Fc(fe.filter),Ke=A.queryGeometry,ft=A.queryPadding*pe,Rt=jC(Ke),er=this.grid.query(Rt.minX-ft,Rt.minY-ft,Rt.maxX+ft,Rt.maxY+ft),ur=jC(A.cameraQueryGeometry),vr=this.grid3D.query(ur.minX-ft,ur.minY-ft,ur.maxX+ft,ur.maxY+ft,((li,pi,vn,zi)=>(function(ln,Tn,pa,ro,Vo){for(let la of ln)if(Tn<=la.x&&pa<=la.y&&ro>=la.x&&Vo>=la.y)return!0;let Xa=[new u(Tn,pa),new u(Tn,Vo),new u(ro,Vo),new u(ro,pa)];if(ln.length>2){for(let la of Xa)if(Ni(ln,la))return!0}for(let la=0;la<ln.length-1;la++)if(qi(ln[la],ln[la+1],Xa))return!0;return!1})(A.cameraQueryGeometry,li-ft,pi-ft,vn+ft,zi+ft)));for(let li of vr)er.push(li);er.sort(oq);let kr={},Dr;for(let li=0;li<er.length;li++){let pi=er[li];if(pi===Dr)continue;Dr=pi;let vn=this.featureIndexArray.get(pi),zi=null;this.loadMatchingFeature(kr,vn.bucketIndex,vn.sourceLayerIndex,vn.featureIndex,Re,fe.layers,fe.availableImages,F,W,te,((ln,Tn,pa)=>(zi||(zi=$s(ln)),Tn.queryIntersectsFeature(Ke,ln,pa,zi,this.z,A.transform,pe,A.pixelPosMatrix))))}return kr}loadMatchingFeature(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er){let ur=this.bucketLayerIDs[F];if(pe&&!(function(li,pi){for(let vn=0;vn<li.length;vn++)if(pi.indexOf(li[vn])>=0)return!0;return!1})(pe,ur))return;let vr=this.sourceLayerCoder.decode(W),kr=this.vtLayers[vr].feature(te);if(fe.needGeometry){let li=Ml(kr,!0);if(!fe.filter(new rs(this.tileID.overscaledZ),li,this.tileID.canonical))return}else if(!fe.filter(new rs(this.tileID.overscaledZ),kr))return;let Dr=this.getId(kr,vr);for(let li=0;li<ur.length;li++){let pi=ur[li];if(pe&&pe.indexOf(pi)<0)continue;let vn=Ke[pi];if(!vn)continue;let zi={};Dr&&Rt&&(zi=Rt.getState(vn.sourceLayer||\"_geojsonTileLayer\",Dr));let ln=L({},ft[pi]);ln.paint=HC(ln.paint,vn.paint,kr,zi,Re),ln.layout=HC(ln.layout,vn.layout,kr,zi,Re);let Tn=!er||er(kr,vn,zi);if(!Tn)continue;let pa=new TS(kr,this.z,this.x,this.y,Dr);pa.layer=ln;let ro=A[pi];ro===void 0&&(ro=A[pi]=[]),ro.push({featureIndex:te,feature:pa,intersectionZ:Tn})}}lookupSymbolFeatures(A,F,W,te,fe,pe,Re,Ke){let ft={};this.loadVTLayers();let Rt=Fc(fe);for(let er of A)this.loadMatchingFeature(ft,W,te,er,Rt,pe,Re,Ke,F);return ft}hasLayer(A){for(let F of this.bucketLayerIDs)for(let W of F)if(A===W)return!0;return!1}getId(A,F){let W=A.id;return this.promoteId&&(W=A.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[F]],typeof W==\"boolean\"&&(W=Number(W))),W}}function HC(R,A,F,W,te){return C(R,((fe,pe)=>{let Re=A instanceof Ac?A.get(pe):null;return Re&&Re.evaluate?Re.evaluate(F,W,te):Re}))}function jC(R){let A=1/0,F=1/0,W=-1/0,te=-1/0;for(let fe of R)A=Math.min(A,fe.x),F=Math.min(F,fe.y),W=Math.max(W,fe.x),te=Math.max(te,fe.y);return{minX:A,minY:F,maxX:W,maxY:te}}function oq(R,A){return A-R}function WC(R,A,F,W,te){let fe=[];for(let pe=0;pe<R.length;pe++){let Re=R[pe],Ke;for(let ft=0;ft<Re.length-1;ft++){let Rt=Re[ft],er=Re[ft+1];Rt.x<A&&er.x<A||(Rt.x<A?Rt=new u(A,Rt.y+(A-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round():er.x<A&&(er=new u(A,Rt.y+(A-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round()),Rt.y<F&&er.y<F||(Rt.y<F?Rt=new u(Rt.x+(F-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),F)._round():er.y<F&&(er=new u(Rt.x+(F-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),F)._round()),Rt.x>=W&&er.x>=W||(Rt.x>=W?Rt=new u(W,Rt.y+(W-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round():er.x>=W&&(er=new u(W,Rt.y+(W-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round()),Rt.y>=te&&er.y>=te||(Rt.y>=te?Rt=new u(Rt.x+(te-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),te)._round():er.y>=te&&(er=new u(Rt.x+(te-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),te)._round()),Ke&&Rt.equals(Ke[Ke.length-1])||(Ke=[Rt],fe.push(Ke)),Ke.push(er)))))}}return fe}Fi(\"FeatureIndex\",_y,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class gg extends u{constructor(A,F,W,te){super(A,F),this.angle=W,te!==void 0&&(this.segment=te)}clone(){return new gg(this.x,this.y,this.angle,this.segment)}}function AS(R,A,F,W,te){if(A.segment===void 0||F===0)return!0;let fe=A,pe=A.segment+1,Re=0;for(;Re>-F/2;){if(pe--,pe<0)return!1;Re-=R[pe].dist(fe),fe=R[pe]}Re+=R[pe].dist(R[pe+1]),pe++;let Ke=[],ft=0;for(;Re<F/2;){let Rt=R[pe],er=R[pe+1];if(!er)return!1;let ur=R[pe-1].angleTo(Rt)-Rt.angleTo(er);for(ur=Math.abs((ur+3*Math.PI)%(2*Math.PI)-Math.PI),Ke.push({distance:Re,angleDelta:ur}),ft+=ur;Re-Ke[0].distance>W;)ft-=Ke.shift().angleDelta;if(ft>te)return!1;pe++,Re+=Rt.dist(er)}return!0}function XC(R){let A=0;for(let F=0;F<R.length-1;F++)A+=R[F].dist(R[F+1]);return A}function ZC(R,A,F){return R?.6*A*F:0}function YC(R,A){return Math.max(R?R.right-R.left:0,A?A.right-A.left:0)}function sq(R,A,F,W,te,fe){let pe=ZC(F,te,fe),Re=YC(F,W)*fe,Ke=0,ft=XC(R)/2;for(let Rt=0;Rt<R.length-1;Rt++){let er=R[Rt],ur=R[Rt+1],vr=er.dist(ur);if(Ke+vr>ft){let kr=(ft-Ke)/vr,Dr=Lo.number(er.x,ur.x,kr),li=Lo.number(er.y,ur.y,kr),pi=new gg(Dr,li,ur.angleTo(er),Rt);return pi._round(),!pe||AS(R,pi,Re,pe,A)?pi:void 0}Ke+=vr}}function lq(R,A,F,W,te,fe,pe,Re,Ke){let ft=ZC(W,fe,pe),Rt=YC(W,te),er=Rt*pe,ur=R[0].x===0||R[0].x===Ke||R[0].y===0||R[0].y===Ke;return A-er<A/4&&(A=er+A/4),KC(R,ur?A/2*Re%A:(Rt/2+2*fe)*pe*Re%A,A,ft,F,er,ur,!1,Ke)}function KC(R,A,F,W,te,fe,pe,Re,Ke){let ft=fe/2,Rt=XC(R),er=0,ur=A-F,vr=[];for(let kr=0;kr<R.length-1;kr++){let Dr=R[kr],li=R[kr+1],pi=Dr.dist(li),vn=li.angleTo(Dr);for(;ur+F<er+pi;){ur+=F;let zi=(ur-er)/pi,ln=Lo.number(Dr.x,li.x,zi),Tn=Lo.number(Dr.y,li.y,zi);if(ln>=0&&ln<Ke&&Tn>=0&&Tn<Ke&&ur-ft>=0&&ur+ft<=Rt){let pa=new gg(ln,Tn,vn,kr);pa._round(),W&&!AS(R,pa,fe,W,te)||vr.push(pa)}}er+=pi}return Re||vr.length||pe||(vr=KC(R,er/2,F,W,te,fe,pe,!0,Ke)),vr}Fi(\"Anchor\",gg);let z1=Md;function JC(R,A,F,W){let te=[],fe=R.image,pe=fe.pixelRatio,Re=fe.paddedRect.w-2*z1,Ke=fe.paddedRect.h-2*z1,ft={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Rt=fe.stretchX||[[0,Re]],er=fe.stretchY||[[0,Ke]],ur=(Wn,Ro)=>Wn+Ro[1]-Ro[0],vr=Rt.reduce(ur,0),kr=er.reduce(ur,0),Dr=Re-vr,li=Ke-kr,pi=0,vn=vr,zi=0,ln=kr,Tn=0,pa=Dr,ro=0,Vo=li;if(fe.content&&W){let Wn=fe.content,Ro=Wn[2]-Wn[0],uo=Wn[3]-Wn[1];(fe.textFitWidth||fe.textFitHeight)&&(ft=DC(R)),pi=mg(Rt,0,Wn[0]),zi=mg(er,0,Wn[1]),vn=mg(Rt,Wn[0],Wn[2]),ln=mg(er,Wn[1],Wn[3]),Tn=Wn[0]-pi,ro=Wn[1]-zi,pa=Ro-vn,Vo=uo-ln}let Xa=ft.x1,la=ft.y1,Mo=ft.x2-Xa,fo=ft.y2-la,lo=(Wn,Ro,uo,$o)=>{let Ju=$w(Wn.stretch-pi,vn,Mo,Xa),Ou=q1(Wn.fixed-Tn,pa,Wn.stretch,vr),kh=$w(Ro.stretch-zi,ln,fo,la),Qv=q1(Ro.fixed-ro,Vo,Ro.stretch,kr),ud=$w(uo.stretch-pi,vn,Mo,Xa),Ch=q1(uo.fixed-Tn,pa,uo.stretch,vr),Gd=$w($o.stretch-zi,ln,fo,la),Hd=q1($o.fixed-ro,Vo,$o.stretch,kr),jd=new u(Ju,kh),Af=new u(ud,kh),Lh=new u(ud,Gd),Ed=new u(Ju,Gd),cd=new u(Ou/pe,Qv/pe),Yh=new u(Ch/pe,Hd/pe),Df=A*Math.PI/180;if(Df){let ru=Math.sin(Df),pc=Math.cos(Df),$u=[pc,-ru,ru,pc];jd._matMult($u),Af._matMult($u),Ed._matMult($u),Lh._matMult($u)}let Fv=Wn.stretch+Wn.fixed,uv=Ro.stretch+Ro.fixed;return{tl:jd,tr:Af,bl:Ed,br:Lh,tex:{x:fe.paddedRect.x+z1+Fv,y:fe.paddedRect.y+z1+uv,w:uo.stretch+uo.fixed-Fv,h:$o.stretch+$o.fixed-uv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:cd,pixelOffsetBR:Yh,minFontScaleX:pa/pe/Mo,minFontScaleY:Vo/pe/fo,isSDF:F}};if(W&&(fe.stretchX||fe.stretchY)){let Wn=$C(Rt,Dr,vr),Ro=$C(er,li,kr);for(let uo=0;uo<Wn.length-1;uo++){let $o=Wn[uo],Ju=Wn[uo+1];for(let 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A=this.data[0],F=this.data.pop();return--this.length>0&&(this.data[0]=F,this._down(0)),A}peek(){return this.data[0]}_up(A){let{data:F,compare:W}=this,te=F[A];for(;A>0;){let fe=A-1>>1,pe=F[fe];if(W(te,pe)>=0)break;F[A]=pe,A=fe}F[A]=te}_down(A){let{data:F,compare:W}=this,te=this.length>>1,fe=F[A];for(;A<te;){let pe=1+(A<<1),Re=pe+1;if(Re<this.length&&W(F[Re],F[pe])<0&&(pe=Re),W(F[pe],fe)>=0)break;F[A]=F[pe],A=pe}F[A]=fe}}function uq(R,A=1,F=!1){let W=1/0,te=1/0,fe=-1/0,pe=-1/0,Re=R[0];for(let vr=0;vr<Re.length;vr++){let kr=Re[vr];(!vr||kr.x<W)&&(W=kr.x),(!vr||kr.y<te)&&(te=kr.y),(!vr||kr.x>fe)&&(fe=kr.x),(!vr||kr.y>pe)&&(pe=kr.y)}let Ke=Math.min(fe-W,pe-te),ft=Ke/2,Rt=new Vp([],cq);if(Ke===0)return new u(W,te);for(let vr=W;vr<fe;vr+=Ke)for(let kr=te;kr<pe;kr+=Ke)Rt.push(new O1(vr+ft,kr+ft,ft,R));let er=(function(vr){let kr=0,Dr=0,li=0,pi=vr[0];for(let vn=0,zi=pi.length,ln=zi-1;vn<zi;ln=vn++){let Tn=pi[vn],pa=pi[ln],ro=Tn.x*pa.y-pa.x*Tn.y;Dr+=(Tn.x+pa.x)*ro,li+=(Tn.y+pa.y)*ro,kr+=3*ro}return new O1(Dr/kr,li/kr,0,vr)})(R),ur=Rt.length;for(;Rt.length;){let vr=Rt.pop();(vr.d>er.d||!er.d)&&(er=vr,F&&console.log(\"found best %d after %d probes\",Math.round(1e4*vr.d)/1e4,ur)),vr.max-er.d<=A||(ft=vr.h/2,Rt.push(new O1(vr.p.x-ft,vr.p.y-ft,ft,R)),Rt.push(new O1(vr.p.x+ft,vr.p.y-ft,ft,R)),Rt.push(new O1(vr.p.x-ft,vr.p.y+ft,ft,R)),Rt.push(new O1(vr.p.x+ft,vr.p.y+ft,ft,R)),ur+=4)}return F&&(console.log(`num probes: ${ur}`),console.log(`best distance: ${er.d}`)),er.p}function cq(R,A){return A.max-R.max}function O1(R,A,F,W){this.p=new u(R,A),this.h=F,this.d=(function(te,fe){let pe=!1,Re=1/0;for(let Ke=0;Ke<fe.length;Ke++){let ft=fe[Ke];for(let Rt=0,er=ft.length,ur=er-1;Rt<er;ur=Rt++){let vr=ft[Rt],kr=ft[ur];vr.y>te.y!=kr.y>te.y&&te.x<(kr.x-vr.x)*(te.y-vr.y)/(kr.y-vr.y)+vr.x&&(pe=!pe),Re=Math.min(Re,Nr(te,vr,kr))}}return(pe?1:-1)*Math.sqrt(Re)})(this.p,W),this.max=this.d+this.h*Math.SQRT2}var ld;i.aq=void 0,(ld=i.aq||(i.aq={}))[ld.center=1]=\"center\",ld[ld.left=2]=\"left\",ld[ld.right=3]=\"right\",ld[ld.top=4]=\"top\",ld[ld.bottom=5]=\"bottom\",ld[ld[\"top-left\"]=6]=\"top-left\",ld[ld[\"top-right\"]=7]=\"top-right\",ld[ld[\"bottom-left\"]=8]=\"bottom-left\",ld[ld[\"bottom-right\"]=9]=\"bottom-right\";let vm=7,xy=Number.POSITIVE_INFINITY;function SS(R,A){return A[1]!==xy?(function(F,W,te){let fe=0,pe=0;switch(W=Math.abs(W),te=Math.abs(te),F){case\"top-right\":case\"top-left\":case\"top\":pe=te-vm;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":pe=-te+vm}switch(F){case\"top-right\":case\"bottom-right\":case\"right\":fe=-W;break;case\"top-left\":case\"bottom-left\":case\"left\":fe=W}return[fe,pe]})(R,A[0],A[1]):(function(F,W){let te=0,fe=0;W<0&&(W=0);let pe=W/Math.SQRT2;switch(F){case\"top-right\":case\"top-left\":fe=pe-vm;break;case\"bottom-right\":case\"bottom-left\":fe=-pe+vm;break;case\"bottom\":fe=-W+vm;break;case\"top\":fe=W-vm}switch(F){case\"top-right\":case\"bottom-right\":te=-pe;break;case\"top-left\":case\"bottom-left\":te=pe;break;case\"left\":te=W;break;case\"right\":te=-W}return[te,fe]})(R,A[0])}function QC(R,A,F){var W;let te=R.layout,fe=(W=te.get(\"text-variable-anchor-offset\"))===null||W===void 0?void 0:W.evaluate(A,{},F);if(fe){let Re=fe.values,Ke=[];for(let ft=0;ft<Re.length;ft+=2){let Rt=Ke[ft]=Re[ft],er=Re[ft+1].map((ur=>ur*tu));Rt.startsWith(\"top\")?er[1]-=vm:Rt.startsWith(\"bottom\")&&(er[1]+=vm),Ke[ft+1]=er}return new Hi(Ke)}let pe=te.get(\"text-variable-anchor\");if(pe){let Re;Re=R._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[te.get(\"text-radial-offset\").evaluate(A,{},F)*tu,xy]:te.get(\"text-offset\").evaluate(A,{},F).map((ft=>ft*tu));let Ke=[];for(let ft of pe)Ke.push(ft,SS(ft,Re));return new Hi(Ke)}return null}function MS(R){switch(R){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function fq(R,A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=fe.textMaxSize.evaluate(A,{});er===void 0&&(er=pe);let ur=R.layers[0].layout,vr=ur.get(\"icon-offset\").evaluate(A,{},Rt),kr=t6(F.horizontal),Dr=pe/24,li=R.tilePixelRatio*Dr,pi=R.tilePixelRatio*er/24,vn=R.tilePixelRatio*Re,zi=R.tilePixelRatio*ur.get(\"symbol-spacing\"),ln=ur.get(\"text-padding\")*R.tilePixelRatio,Tn=(function(Wn,Ro,uo,$o=1){let Ju=Wn.get(\"icon-padding\").evaluate(Ro,{},uo),Ou=Ju&&Ju.values;return[Ou[0]*$o,Ou[1]*$o,Ou[2]*$o,Ou[3]*$o]})(ur,A,Rt,R.tilePixelRatio),pa=ur.get(\"text-max-angle\")/180*Math.PI,ro=ur.get(\"text-rotation-alignment\")!==\"viewport\"&&ur.get(\"symbol-placement\")!==\"point\",Vo=ur.get(\"icon-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",Xa=ur.get(\"symbol-placement\"),la=zi/2,Mo=ur.get(\"icon-text-fit\"),fo;W&&Mo!==\"none\"&&(R.allowVerticalPlacement&&F.vertical&&(fo=FC(W,F.vertical,Mo,ur.get(\"icon-text-fit-padding\"),vr,Dr)),kr&&(W=FC(W,kr,Mo,ur.get(\"icon-text-fit-padding\"),vr,Dr)));let lo=(Wn,Ro)=>{Ro.x<0||Ro.x>=ja||Ro.y<0||Ro.y>=ja||(function(uo,$o,Ju,Ou,kh,Qv,ud,Ch,Gd,Hd,jd,Af,Lh,Ed,cd,Yh,Df,Fv,uv,ru,pc,$u,zv,hf,B1){let p0=uo.addToLineVertexArray($o,Ju),Gp,ep,Gc,Yf,tp=0,yg=0,cv=0,N1=0,PS=-1,r3=-1,g0={},by=xi(\"\");if(uo.allowVerticalPlacement&&Ou.vertical){let kd=Ch.layout.get(\"text-rotate\").evaluate(pc,{},hf)+90;Gc=new 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this._layers[et];this.familiesBySource={};let We=i.bk(Object.values(this._layerConfigs),this.keyCache);for(let et of We){let xt=et.map((Ir=>this._layers[Ir.id])),At=xt[0];if(At.visibility===\"none\")continue;let Kt=At.source||\"\",Qt=this.familiesBySource[Kt];Qt||(Qt=this.familiesBySource[Kt]={});let Mr=At.sourceLayer||\"_geojsonTileLayer\",Gr=Qt[Mr];Gr||(Gr=Qt[Mr]=[]),Gr.push(xt)}}}class o{constructor(Ge){let Je={},We=[];for(let Kt in Ge){let Qt=Ge[Kt],Mr=Je[Kt]={};for(let Gr in Qt){let Ir=Qt[+Gr];if(!Ir||Ir.bitmap.width===0||Ir.bitmap.height===0)continue;let Yr={x:0,y:0,w:Ir.bitmap.width+2,h:Ir.bitmap.height+2};We.push(Yr),Mr[Gr]={rect:Yr,metrics:Ir.metrics}}}let{w:et,h:xt}=i.p(We),At=new i.o({width:et||1,height:xt||1});for(let Kt in Ge){let Qt=Ge[Kt];for(let Mr in Qt){let Gr=Qt[+Mr];if(!Gr||Gr.bitmap.width===0||Gr.bitmap.height===0)continue;let Ir=Je[Kt][Mr].rect;i.o.copy(Gr.bitmap,At,{x:0,y:0},{x:Ir.x+1,y:Ir.y+1},Gr.bitmap)}}this.image=At,this.positions=Je}}i.bl(\"GlyphAtlas\",o);class s{constructor(Ge){this.tileID=new i.S(Ge.tileID.overscaledZ,Ge.tileID.wrap,Ge.tileID.canonical.z,Ge.tileID.canonical.x,Ge.tileID.canonical.y),this.uid=Ge.uid,this.zoom=Ge.zoom,this.pixelRatio=Ge.pixelRatio,this.tileSize=Ge.tileSize,this.source=Ge.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=Ge.showCollisionBoxes,this.collectResourceTiming=!!Ge.collectResourceTiming,this.returnDependencies=!!Ge.returnDependencies,this.promoteId=Ge.promoteId,this.inFlightDependencies=[]}parse(Ge,Je,We,et){return i._(this,void 0,void 0,(function*(){this.status=\"parsing\",this.data=Ge,this.collisionBoxArray=new i.a5;let xt=new i.bm(Object.keys(Ge.layers).sort()),At=new i.bn(this.tileID,this.promoteId);At.bucketLayerIDs=[];let Kt={},Qt={featureIndex:At,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:We},Mr=Je.familiesBySource[this.source];for(let Qn in Mr){let Vi=Ge.layers[Qn];if(!Vi)continue;Vi.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${Qn}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let Jn=xt.encode(Qn),Yn=[];for(let Gt=0;Gt<Vi.length;Gt++){let wt=Vi.feature(Gt),tr=At.getId(wt,Qn);Yn.push({feature:wt,id:tr,index:Gt,sourceLayerIndex:Jn})}for(let Gt of Mr[Qn]){let wt=Gt[0];wt.source!==this.source&&i.w(`layer.source = ${wt.source} does not equal this.source = ${this.source}`),wt.minzoom&&this.zoom<Math.floor(wt.minzoom)||wt.maxzoom&&this.zoom>=wt.maxzoom||wt.visibility!==\"none\"&&(l(Gt,this.zoom,We),(Kt[wt.id]=wt.createBucket({index:At.bucketLayerIDs.length,layers:Gt,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Jn,sourceID:this.source})).populate(Yn,Qt,this.tileID.canonical),At.bucketLayerIDs.push(Gt.map((tr=>tr.id))))}}let Gr=i.aF(Qt.glyphDependencies,(Qn=>Object.keys(Qn).map(Number)));this.inFlightDependencies.forEach((Qn=>Qn==null?void 0:Qn.abort())),this.inFlightDependencies=[];let Ir=Promise.resolve({});if(Object.keys(Gr).length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),Ir=et.sendAsync({type:\"GG\",data:{stacks:Gr,source:this.source,tileID:this.tileID,type:\"glyphs\"}},Qn)}let Yr=Object.keys(Qt.iconDependencies),_i=Promise.resolve({});if(Yr.length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),_i=et.sendAsync({type:\"GI\",data:{icons:Yr,source:this.source,tileID:this.tileID,type:\"icons\"}},Qn)}let Pi=Object.keys(Qt.patternDependencies),ai=Promise.resolve({});if(Pi.length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),ai=et.sendAsync({type:\"GI\",data:{icons:Pi,source:this.source,tileID:this.tileID,type:\"patterns\"}},Qn)}let[mi,un,Fn]=yield Promise.all([Ir,_i,ai]),An=new o(mi),Hn=new i.bo(un,Fn);for(let Qn in Kt){let Vi=Kt[Qn];Vi instanceof i.a6?(l(Vi.layers,this.zoom,We),i.bp({bucket:Vi,glyphMap:mi,glyphPositions:An.positions,imageMap:un,imagePositions:Hn.iconPositions,showCollisionBoxes:this.showCollisionBoxes,canonical:this.tileID.canonical})):Vi.hasPattern&&(Vi instanceof i.bq||Vi instanceof i.br||Vi instanceof i.bs)&&(l(Vi.layers,this.zoom,We),Vi.addFeatures(Qt,this.tileID.canonical,Hn.patternPositions))}return this.status=\"done\",{buckets:Object.values(Kt).filter((Qn=>!Qn.isEmpty())),featureIndex:At,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:An.image,imageAtlas:Hn,glyphMap:this.returnDependencies?mi:null,iconMap:this.returnDependencies?un:null,glyphPositions:this.returnDependencies?An.positions:null}}))}}function l(gt,Ge,Je){let We=new i.z(Ge);for(let et of gt)et.recalculate(We,Je)}class u{constructor(Ge,Je,We){this.actor=Ge,this.layerIndex=Je,this.availableImages=We,this.fetching={},this.loading={},this.loaded={}}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=yield i.l(Ge.request,Je);try{return{vectorTile:new i.bt.VectorTile(new i.bu(We.data)),rawData:We.data,cacheControl:We.cacheControl,expires:We.expires}}catch(et){let xt=new Uint8Array(We.data),At=`Unable to parse the tile at ${Ge.request.url}, `;throw At+=xt[0]===31&&xt[1]===139?\"please make sure the data is not gzipped and that you have configured the relevant header in the server\":`got error: ${et.message}`,new Error(At)}}))}loadTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=Ge.uid,We=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request),et=new s(Ge);this.loading[Je]=et;let xt=new AbortController;et.abort=xt;try{let At=yield this.loadVectorTile(Ge,xt);if(delete this.loading[Je],!At)return null;let Kt=At.rawData,Qt={};At.expires&&(Qt.expires=At.expires),At.cacheControl&&(Qt.cacheControl=At.cacheControl);let Mr={};if(We){let Ir=We.finish();Ir&&(Mr.resourceTiming=JSON.parse(JSON.stringify(Ir)))}et.vectorTile=At.vectorTile;let Gr=et.parse(At.vectorTile,this.layerIndex,this.availableImages,this.actor);this.loaded[Je]=et,this.fetching[Je]={rawTileData:Kt,cacheControl:Qt,resourceTiming:Mr};try{let Ir=yield Gr;return i.e({rawTileData:Kt.slice(0)},Ir,Qt,Mr)}finally{delete this.fetching[Je]}}catch(At){throw delete this.loading[Je],et.status=\"done\",this.loaded[Je]=et,At}}))}reloadTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=Ge.uid;if(!this.loaded||!this.loaded[Je])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let We=this.loaded[Je];if(We.showCollisionBoxes=Ge.showCollisionBoxes,We.status===\"parsing\"){let et=yield We.parse(We.vectorTile,this.layerIndex,this.availableImages,this.actor),xt;if(this.fetching[Je]){let{rawTileData:At,cacheControl:Kt,resourceTiming:Qt}=this.fetching[Je];delete this.fetching[Je],xt=i.e({rawTileData:At.slice(0)},et,Kt,Qt)}else xt=et;return xt}if(We.status===\"done\"&&We.vectorTile)return We.parse(We.vectorTile,this.layerIndex,this.availableImages,this.actor)}))}abortTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=this.loading,We=Ge.uid;Je&&Je[We]&&Je[We].abort&&(Je[We].abort.abort(),delete Je[We])}))}removeTile(Ge){return i._(this,void 0,void 0,(function*(){this.loaded&&this.loaded[Ge.uid]&&delete this.loaded[Ge.uid]}))}}class c{constructor(){this.loaded={}}loadTile(Ge){return i._(this,void 0,void 0,(function*(){let{uid:Je,encoding:We,rawImageData:et,redFactor:xt,greenFactor:At,blueFactor:Kt,baseShift:Qt}=Ge,Mr=et.width+2,Gr=et.height+2,Ir=i.b(et)?new i.R({width:Mr,height:Gr},yield i.bw(et,-1,-1,Mr,Gr)):et,Yr=new i.bx(Je,Ir,We,xt,At,Kt,Qt);return this.loaded=this.loaded||{},this.loaded[Je]=Yr,Yr}))}removeTile(Ge){let Je=this.loaded,We=Ge.uid;Je&&Je[We]&&delete Je[We]}}function f(gt,Ge){if(gt.length!==0){h(gt[0],Ge);for(var Je=1;Je<gt.length;Je++)h(gt[Je],!Ge)}}function h(gt,Ge){for(var Je=0,We=0,et=0,xt=gt.length,At=xt-1;et<xt;At=et++){var Kt=(gt[et][0]-gt[At][0])*(gt[At][1]+gt[et][1]),Qt=Je+Kt;We+=Math.abs(Je)>=Math.abs(Kt)?Je-Qt+Kt:Kt-Qt+Je,Je=Qt}Je+We>=0!=!!Ge&&gt.reverse()}var d=i.by((function gt(Ge,Je){var We,et=Ge&&Ge.type;if(et===\"FeatureCollection\")for(We=0;We<Ge.features.length;We++)gt(Ge.features[We],Je);else if(et===\"GeometryCollection\")for(We=0;We<Ge.geometries.length;We++)gt(Ge.geometries[We],Je);else if(et===\"Feature\")gt(Ge.geometry,Je);else if(et===\"Polygon\")f(Ge.coordinates,Je);else if(et===\"MultiPolygon\")for(We=0;We<Ge.coordinates.length;We++)f(Ge.coordinates[We],Je);return Ge}));let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var m={exports:{}},b=i.bz,p=i.bt.VectorTileFeature,k=M;function M(gt,Ge){this.options=Ge||{},this.features=gt,this.length=gt.length}function T(gt,Ge){this.id=typeof gt.id==\"number\"?gt.id:void 0,this.type=gt.type,this.rawGeometry=gt.type===1?[gt.geometry]:gt.geometry,this.properties=gt.tags,this.extent=Ge||4096}M.prototype.feature=function(gt){return new T(this.features[gt],this.options.extent)},T.prototype.loadGeometry=function(){var gt=this.rawGeometry;this.geometry=[];for(var Ge=0;Ge<gt.length;Ge++){for(var Je=gt[Ge],We=[],et=0;et<Je.length;et++)We.push(new b(Je[et][0],Je[et][1]));this.geometry.push(We)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var gt=this.geometry,Ge=1/0,Je=-1/0,We=1/0,et=-1/0,xt=0;xt<gt.length;xt++)for(var At=gt[xt],Kt=0;Kt<At.length;Kt++){var Qt=At[Kt];Ge=Math.min(Ge,Qt.x),Je=Math.max(Je,Qt.x),We=Math.min(We,Qt.y),et=Math.max(et,Qt.y)}return[Ge,We,Je,et]},T.prototype.toGeoJSON=p.prototype.toGeoJSON;var L=i.bA,x=k;function C(gt){var Ge=new L;return(function(Je,We){for(var et in Je.layers)We.writeMessage(3,S,Je.layers[et])})(gt,Ge),Ge.finish()}function S(gt,Ge){var Je;Ge.writeVarintField(15,gt.version||1),Ge.writeStringField(1,gt.name||\"\"),Ge.writeVarintField(5,gt.extent||4096);var We={keys:[],values:[],keycache:{},valuecache:{}};for(Je=0;Je<gt.length;Je++)We.feature=gt.feature(Je),Ge.writeMessage(2,g,We);var et=We.keys;for(Je=0;Je<et.length;Je++)Ge.writeStringField(3,et[Je]);var xt=We.values;for(Je=0;Je<xt.length;Je++)Ge.writeMessage(4,V,xt[Je])}function g(gt,Ge){var Je=gt.feature;Je.id!==void 0&&Ge.writeVarintField(1,Je.id),Ge.writeMessage(2,P,gt),Ge.writeVarintField(3,Je.type),Ge.writeMessage(4,q,Je)}function P(gt,Ge){var Je=gt.feature,We=gt.keys,et=gt.values,xt=gt.keycache,At=gt.valuecache;for(var Kt in Je.properties){var Qt=Je.properties[Kt],Mr=xt[Kt];if(Qt!==null){Mr===void 0&&(We.push(Kt),xt[Kt]=Mr=We.length-1),Ge.writeVarint(Mr);var Gr=typeof Qt;Gr!==\"string\"&&Gr!==\"boolean\"&&Gr!==\"number\"&&(Qt=JSON.stringify(Qt));var Ir=Gr+\":\"+Qt,Yr=At[Ir];Yr===void 0&&(et.push(Qt),At[Ir]=Yr=et.length-1),Ge.writeVarint(Yr)}}}function E(gt,Ge){return(Ge<<3)+(7&gt)}function z(gt){return gt<<1^gt>>31}function q(gt,Ge){for(var Je=gt.loadGeometry(),We=gt.type,et=0,xt=0,At=Je.length,Kt=0;Kt<At;Kt++){var Qt=Je[Kt],Mr=1;We===1&&(Mr=Qt.length),Ge.writeVarint(E(1,Mr));for(var Gr=We===3?Qt.length-1:Qt.length,Ir=0;Ir<Gr;Ir++){Ir===1&&We!==1&&Ge.writeVarint(E(2,Gr-1));var Yr=Qt[Ir].x-et,_i=Qt[Ir].y-xt;Ge.writeVarint(z(Yr)),Ge.writeVarint(z(_i)),et+=Yr,xt+=_i}We===3&&Ge.writeVarint(E(7,1))}}function V(gt,Ge){var Je=typeof gt;Je===\"string\"?Ge.writeStringField(1,gt):Je===\"boolean\"?Ge.writeBooleanField(7,gt):Je===\"number\"&&(gt%1!=0?Ge.writeDoubleField(3,gt):gt<0?Ge.writeSVarintField(6,gt):Ge.writeVarintField(5,gt))}m.exports=C,m.exports.fromVectorTileJs=C,m.exports.fromGeojsonVt=function(gt,Ge){Ge=Ge||{};var Je={};for(var We in gt)Je[We]=new x(gt[We].features,Ge),Je[We].name=We,Je[We].version=Ge.version,Je[We].extent=Ge.extent;return C({layers:Je})},m.exports.GeoJSONWrapper=x;var G=i.by(m.exports);let Z={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:gt=>gt},j=Math.fround||(N=new Float32Array(1),gt=>(N[0]=+gt,N[0]));var N;let H=3,re=5,ae=6;class _e{constructor(Ge){this.options=Object.assign(Object.create(Z),Ge),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ge){let{log:Je,minZoom:We,maxZoom:et}=this.options;Je&&console.time(\"total time\");let xt=`prepare ${Ge.length} points`;Je&&console.time(xt),this.points=Ge;let At=[];for(let Qt=0;Qt<Ge.length;Qt++){let Mr=Ge[Qt];if(!Mr.geometry)continue;let[Gr,Ir]=Mr.geometry.coordinates,Yr=j(ge(Gr)),_i=j(ie(Ir));At.push(Yr,_i,1/0,Qt,-1,1),this.options.reduce&&At.push(0)}let Kt=this.trees[et+1]=this._createTree(At);Je&&console.timeEnd(xt);for(let Qt=et;Qt>=We;Qt--){let Mr=+Date.now();Kt=this.trees[Qt]=this._createTree(this._cluster(Kt,Qt)),Je&&console.log(\"z%d: %d clusters in %dms\",Qt,Kt.numItems,+Date.now()-Mr)}return Je&&console.timeEnd(\"total time\"),this}getClusters(Ge,Je){let We=((Ge[0]+180)%360+360)%360-180,et=Math.max(-90,Math.min(90,Ge[1])),xt=Ge[2]===180?180:((Ge[2]+180)%360+360)%360-180,At=Math.max(-90,Math.min(90,Ge[3]));if(Ge[2]-Ge[0]>=360)We=-180,xt=180;else if(We>xt){let Ir=this.getClusters([We,et,180,At],Je),Yr=this.getClusters([-180,et,xt,At],Je);return Ir.concat(Yr)}let Kt=this.trees[this._limitZoom(Je)],Qt=Kt.range(ge(We),ie(At),ge(xt),ie(et)),Mr=Kt.data,Gr=[];for(let Ir of Qt){let Yr=this.stride*Ir;Gr.push(Mr[Yr+re]>1?Ee(Mr,Yr,this.clusterProps):this.points[Mr[Yr+H]])}return Gr}getChildren(Ge){let Je=this._getOriginId(Ge),We=this._getOriginZoom(Ge),et=\"No cluster with the specified id.\",xt=this.trees[We];if(!xt)throw new Error(et);let At=xt.data;if(Je*this.stride>=At.length)throw new Error(et);let Kt=this.options.radius/(this.options.extent*Math.pow(2,We-1)),Qt=xt.within(At[Je*this.stride],At[Je*this.stride+1],Kt),Mr=[];for(let Gr of Qt){let Ir=Gr*this.stride;At[Ir+4]===Ge&&Mr.push(At[Ir+re]>1?Ee(At,Ir,this.clusterProps):this.points[At[Ir+H]])}if(Mr.length===0)throw new Error(et);return Mr}getLeaves(Ge,Je,We){let et=[];return this._appendLeaves(et,Ge,Je=Je||10,We=We||0,0),et}getTile(Ge,Je,We){let et=this.trees[this._limitZoom(Ge)],xt=Math.pow(2,Ge),{extent:At,radius:Kt}=this.options,Qt=Kt/At,Mr=(We-Qt)/xt,Gr=(We+1+Qt)/xt,Ir={features:[]};return this._addTileFeatures(et.range((Je-Qt)/xt,Mr,(Je+1+Qt)/xt,Gr),et.data,Je,We,xt,Ir),Je===0&&this._addTileFeatures(et.range(1-Qt/xt,Mr,1,Gr),et.data,xt,We,xt,Ir),Je===xt-1&&this._addTileFeatures(et.range(0,Mr,Qt/xt,Gr),et.data,-1,We,xt,Ir),Ir.features.length?Ir:null}getClusterExpansionZoom(Ge){let Je=this._getOriginZoom(Ge)-1;for(;Je<=this.options.maxZoom;){let We=this.getChildren(Ge);if(Je++,We.length!==1)break;Ge=We[0].properties.cluster_id}return Je}_appendLeaves(Ge,Je,We,et,xt){let At=this.getChildren(Je);for(let Kt of At){let Qt=Kt.properties;if(Qt&&Qt.cluster?xt+Qt.point_count<=et?xt+=Qt.point_count:xt=this._appendLeaves(Ge,Qt.cluster_id,We,et,xt):xt<et?xt++:Ge.push(Kt),Ge.length===We)break}return xt}_createTree(Ge){let Je=new i.av(Ge.length/this.stride|0,this.options.nodeSize,Float32Array);for(let We=0;We<Ge.length;We+=this.stride)Je.add(Ge[We],Ge[We+1]);return Je.finish(),Je.data=Ge,Je}_addTileFeatures(Ge,Je,We,et,xt,At){for(let Kt of Ge){let Qt=Kt*this.stride,Mr=Je[Qt+re]>1,Gr,Ir,Yr;if(Mr)Gr=Ce(Je,Qt,this.clusterProps),Ir=Je[Qt],Yr=Je[Qt+1];else{let ai=this.points[Je[Qt+H]];Gr=ai.properties;let[mi,un]=ai.geometry.coordinates;Ir=ge(mi),Yr=ie(un)}let _i={type:1,geometry:[[Math.round(this.options.extent*(Ir*xt-We)),Math.round(this.options.extent*(Yr*xt-et))]],tags:Gr},Pi;Pi=Mr||this.options.generateId?Je[Qt+H]:this.points[Je[Qt+H]].id,Pi!==void 0&&(_i.id=Pi),At.features.push(_i)}}_limitZoom(Ge){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ge),this.options.maxZoom+1))}_cluster(Ge,Je){let{radius:We,extent:et,reduce:xt,minPoints:At}=this.options,Kt=We/(et*Math.pow(2,Je)),Qt=Ge.data,Mr=[],Gr=this.stride;for(let Ir=0;Ir<Qt.length;Ir+=Gr){if(Qt[Ir+2]<=Je)continue;Qt[Ir+2]=Je;let Yr=Qt[Ir],_i=Qt[Ir+1],Pi=Ge.within(Qt[Ir],Qt[Ir+1],Kt),ai=Qt[Ir+re],mi=ai;for(let un of Pi){let Fn=un*Gr;Qt[Fn+2]>Je&&(mi+=Qt[Fn+re])}if(mi>ai&&mi>=At){let un,Fn=Yr*ai,An=_i*ai,Hn=-1,Qn=((Ir/Gr|0)<<5)+(Je+1)+this.points.length;for(let Vi of Pi){let Jn=Vi*Gr;if(Qt[Jn+2]<=Je)continue;Qt[Jn+2]=Je;let Yn=Qt[Jn+re];Fn+=Qt[Jn]*Yn,An+=Qt[Jn+1]*Yn,Qt[Jn+4]=Qn,xt&&(un||(un=this._map(Qt,Ir,!0),Hn=this.clusterProps.length,this.clusterProps.push(un)),xt(un,this._map(Qt,Jn)))}Qt[Ir+4]=Qn,Mr.push(Fn/mi,An/mi,1/0,Qn,-1,mi),xt&&Mr.push(Hn)}else{for(let un=0;un<Gr;un++)Mr.push(Qt[Ir+un]);if(mi>1)for(let un of Pi){let Fn=un*Gr;if(!(Qt[Fn+2]<=Je)){Qt[Fn+2]=Je;for(let An=0;An<Gr;An++)Mr.push(Qt[Fn+An])}}}}return Mr}_getOriginId(Ge){return Ge-this.points.length>>5}_getOriginZoom(Ge){return(Ge-this.points.length)%32}_map(Ge,Je,We){if(Ge[Je+re]>1){let At=this.clusterProps[Ge[Je+ae]];return We?Object.assign({},At):At}let et=this.points[Ge[Je+H]].properties,xt=this.options.map(et);return We&&xt===et?Object.assign({},xt):xt}}function Ee(gt,Ge,Je){return{type:\"Feature\",id:gt[Ge+H],properties:Ce(gt,Ge,Je),geometry:{type:\"Point\",coordinates:[(We=gt[Ge],360*(We-.5)),Se(gt[Ge+1])]}};var We}function Ce(gt,Ge,Je){let We=gt[Ge+re],et=We>=1e4?`${Math.round(We/1e3)}k`:We>=1e3?Math.round(We/100)/10+\"k\":We,xt=gt[Ge+ae],At=xt===-1?{}:Object.assign({},Je[xt]);return Object.assign(At,{cluster:!0,cluster_id:gt[Ge+H],point_count:We,point_count_abbreviated:et})}function ge(gt){return gt/360+.5}function ie(gt){let Ge=Math.sin(gt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Se(gt){let Ge=(180-360*gt)*Math.PI/180;return 360*Math.atan(Math.exp(Ge))/Math.PI-90}function ke(gt,Ge,Je,We){let et=We,xt=Ge+(Je-Ge>>1),At,Kt=Je-Ge,Qt=gt[Ge],Mr=gt[Ge+1],Gr=gt[Je],Ir=gt[Je+1];for(let Yr=Ge+3;Yr<Je;Yr+=3){let _i=be(gt[Yr],gt[Yr+1],Qt,Mr,Gr,Ir);if(_i>et)At=Yr,et=_i;else if(_i===et){let Pi=Math.abs(Yr-xt);Pi<Kt&&(At=Yr,Kt=Pi)}}et>We&&(At-Ge>3&&ke(gt,Ge,At,We),gt[At+2]=et,Je-At>3&&ke(gt,At,Je,We))}function be(gt,Ge,Je,We,et,xt){let At=et-Je,Kt=xt-We;if(At!==0||Kt!==0){let Qt=((gt-Je)*At+(Ge-We)*Kt)/(At*At+Kt*Kt);Qt>1?(Je=et,We=xt):Qt>0&&(Je+=At*Qt,We+=Kt*Qt)}return At=gt-Je,Kt=Ge-We,At*At+Kt*Kt}function Be(gt,Ge,Je,We){let et={id:gt==null?null:gt,type:Ge,geometry:Je,tags:We,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ge===\"Point\"||Ge===\"MultiPoint\"||Ge===\"LineString\")Le(et,Je);else if(Ge===\"Polygon\")Le(et,Je[0]);else if(Ge===\"MultiLineString\")for(let xt of Je)Le(et,xt);else if(Ge===\"MultiPolygon\")for(let xt of Je)Le(et,xt[0]);return et}function Le(gt,Ge){for(let Je=0;Je<Ge.length;Je+=3)gt.minX=Math.min(gt.minX,Ge[Je]),gt.minY=Math.min(gt.minY,Ge[Je+1]),gt.maxX=Math.max(gt.maxX,Ge[Je]),gt.maxY=Math.max(gt.maxY,Ge[Je+1])}function me(gt,Ge,Je,We){if(!Ge.geometry)return;let et=Ge.geometry.coordinates;if(et&&et.length===0)return;let xt=Ge.geometry.type,At=Math.pow(Je.tolerance/((1<<Je.maxZoom)*Je.extent),2),Kt=[],Qt=Ge.id;if(Je.promoteId?Qt=Ge.properties[Je.promoteId]:Je.generateId&&(Qt=We||0),xt===\"Point\")Pe(et,Kt);else if(xt===\"MultiPoint\")for(let Mr of et)Pe(Mr,Kt);else if(xt===\"LineString\")ce(et,Kt,At,!1);else if(xt===\"MultiLineString\"){if(Je.lineMetrics){for(let Mr of et)Kt=[],ce(Mr,Kt,At,!1),gt.push(Be(Qt,\"LineString\",Kt,Ge.properties));return}He(et,Kt,At,!1)}else if(xt===\"Polygon\")He(et,Kt,At,!0);else{if(xt!==\"MultiPolygon\"){if(xt===\"GeometryCollection\"){for(let Mr of Ge.geometry.geometries)me(gt,{id:Qt,geometry:Mr,properties:Ge.properties},Je,We);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let Mr of et){let Gr=[];He(Mr,Gr,At,!0),Kt.push(Gr)}}gt.push(Be(Qt,xt,Kt,Ge.properties))}function Pe(gt,Ge){Ge.push(lt(gt[0]),mt(gt[1]),0)}function ce(gt,Ge,Je,We){let et,xt,At=0;for(let Qt=0;Qt<gt.length;Qt++){let Mr=lt(gt[Qt][0]),Gr=mt(gt[Qt][1]);Ge.push(Mr,Gr,0),Qt>0&&(At+=We?(et*Gr-Mr*xt)/2:Math.sqrt(Math.pow(Mr-et,2)+Math.pow(Gr-xt,2))),et=Mr,xt=Gr}let Kt=Ge.length-3;Ge[2]=1,ke(Ge,0,Kt,Je),Ge[Kt+2]=1,Ge.size=Math.abs(At),Ge.start=0,Ge.end=Ge.size}function He(gt,Ge,Je,We){for(let et=0;et<gt.length;et++){let xt=[];ce(gt[et],xt,Je,We),Ge.push(xt)}}function lt(gt){return gt/360+.5}function mt(gt){let Ge=Math.sin(gt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Ht(gt,Ge,Je,We,et,xt,At,Kt){if(We/=Ge,xt>=(Je/=Ge)&&At<We)return gt;if(At<Je||xt>=We)return null;let Qt=[];for(let Mr of gt){let Gr=Mr.geometry,Ir=Mr.type,Yr=et===0?Mr.minX:Mr.minY,_i=et===0?Mr.maxX:Mr.maxY;if(Yr>=Je&&_i<We){Qt.push(Mr);continue}if(_i<Je||Yr>=We)continue;let Pi=[];if(Ir===\"Point\"||Ir===\"MultiPoint\")at(Gr,Pi,Je,We,et);else if(Ir===\"LineString\")ct(Gr,Pi,Je,We,et,!1,Kt.lineMetrics);else if(Ir===\"MultiLineString\")Vt(Gr,Pi,Je,We,et,!1);else if(Ir===\"Polygon\")Vt(Gr,Pi,Je,We,et,!0);else if(Ir===\"MultiPolygon\")for(let ai of Gr){let mi=[];Vt(ai,mi,Je,We,et,!0),mi.length&&Pi.push(mi)}if(Pi.length){if(Kt.lineMetrics&&Ir===\"LineString\"){for(let ai of Pi)Qt.push(Be(Mr.id,Ir,ai,Mr.tags));continue}Ir!==\"LineString\"&&Ir!==\"MultiLineString\"||(Pi.length===1?(Ir=\"LineString\",Pi=Pi[0]):Ir=\"MultiLineString\"),Ir!==\"Point\"&&Ir!==\"MultiPoint\"||(Ir=Pi.length===3?\"Point\":\"MultiPoint\"),Qt.push(Be(Mr.id,Ir,Pi,Mr.tags))}}return Qt.length?Qt:null}function at(gt,Ge,Je,We,et){for(let xt=0;xt<gt.length;xt+=3){let At=gt[xt+et];At>=Je&&At<=We&&rr(Ge,gt[xt],gt[xt+1],gt[xt+2])}}function ct(gt,Ge,Je,We,et,xt,At){let Kt=ar(gt),Qt=et===0?tt:je,Mr,Gr,Ir=gt.start;for(let mi=0;mi<gt.length-3;mi+=3){let un=gt[mi],Fn=gt[mi+1],An=gt[mi+2],Hn=gt[mi+3],Qn=gt[mi+4],Vi=et===0?un:Fn,Jn=et===0?Hn:Qn,Yn=!1;At&&(Mr=Math.sqrt(Math.pow(un-Hn,2)+Math.pow(Fn-Qn,2))),Vi<Je?Jn>Je&&(Gr=Qt(Kt,un,Fn,Hn,Qn,Je),At&&(Kt.start=Ir+Mr*Gr)):Vi>We?Jn<We&&(Gr=Qt(Kt,un,Fn,Hn,Qn,We),At&&(Kt.start=Ir+Mr*Gr)):rr(Kt,un,Fn,An),Jn<Je&&Vi>=Je&&(Gr=Qt(Kt,un,Fn,Hn,Qn,Je),Yn=!0),Jn>We&&Vi<=We&&(Gr=Qt(Kt,un,Fn,Hn,Qn,We),Yn=!0),!xt&&Yn&&(At&&(Kt.end=Ir+Mr*Gr),Ge.push(Kt),Kt=ar(gt)),At&&(Ir+=Mr)}let Yr=gt.length-3,_i=gt[Yr],Pi=gt[Yr+1],ai=et===0?_i:Pi;ai>=Je&&ai<=We&&rr(Kt,_i,Pi,gt[Yr+2]),Yr=Kt.length-3,xt&&Yr>=3&&(Kt[Yr]!==Kt[0]||Kt[Yr+1]!==Kt[1])&&rr(Kt,Kt[0],Kt[1],Kt[2]),Kt.length&&Ge.push(Kt)}function ar(gt){let Ge=[];return Ge.size=gt.size,Ge.start=gt.start,Ge.end=gt.end,Ge}function Vt(gt,Ge,Je,We,et,xt){for(let At of gt)ct(At,Ge,Je,We,et,xt,!1)}function rr(gt,Ge,Je,We){gt.push(Ge,Je,We)}function tt(gt,Ge,Je,We,et,xt){let At=(xt-Ge)/(We-Ge);return rr(gt,xt,Je+(et-Je)*At,1),At}function je(gt,Ge,Je,We,et,xt){let At=(xt-Je)/(et-Je);return rr(gt,Ge+(We-Ge)*At,xt,1),At}function Ue(gt,Ge){let Je=[];for(let We=0;We<gt.length;We++){let et=gt[We],xt=et.type,At;if(xt===\"Point\"||xt===\"MultiPoint\"||xt===\"LineString\")At=Ae(et.geometry,Ge);else if(xt===\"MultiLineString\"||xt===\"Polygon\"){At=[];for(let Kt of et.geometry)At.push(Ae(Kt,Ge))}else if(xt===\"MultiPolygon\"){At=[];for(let Kt of et.geometry){let Qt=[];for(let Mr of Kt)Qt.push(Ae(Mr,Ge));At.push(Qt)}}Je.push(Be(et.id,xt,At,et.tags))}return Je}function Ae(gt,Ge){let Je=[];Je.size=gt.size,gt.start!==void 0&&(Je.start=gt.start,Je.end=gt.end);for(let We=0;We<gt.length;We+=3)Je.push(gt[We]+Ge,gt[We+1],gt[We+2]);return Je}function rt(gt,Ge){if(gt.transformed)return gt;let Je=1<<gt.z,We=gt.x,et=gt.y;for(let xt of gt.features){let At=xt.geometry,Kt=xt.type;if(xt.geometry=[],Kt===1)for(let Qt=0;Qt<At.length;Qt+=2)xt.geometry.push(St(At[Qt],At[Qt+1],Ge,Je,We,et));else for(let Qt=0;Qt<At.length;Qt++){let Mr=[];for(let Gr=0;Gr<At[Qt].length;Gr+=2)Mr.push(St(At[Qt][Gr],At[Qt][Gr+1],Ge,Je,We,et));xt.geometry.push(Mr)}}return gt.transformed=!0,gt}function St(gt,Ge,Je,We,et,xt){return[Math.round(Je*(gt*We-et)),Math.round(Je*(Ge*We-xt))]}function Tt(gt,Ge,Je,We,et){let xt=Ge===et.maxZoom?0:et.tolerance/((1<<Ge)*et.extent),At={features:[],numPoints:0,numSimplified:0,numFeatures:gt.length,source:null,x:Je,y:We,z:Ge,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let Kt of gt)dt(At,Kt,xt,et);return At}function dt(gt,Ge,Je,We){let et=Ge.geometry,xt=Ge.type,At=[];if(gt.minX=Math.min(gt.minX,Ge.minX),gt.minY=Math.min(gt.minY,Ge.minY),gt.maxX=Math.max(gt.maxX,Ge.maxX),gt.maxY=Math.max(gt.maxY,Ge.maxY),xt===\"Point\"||xt===\"MultiPoint\")for(let Kt=0;Kt<et.length;Kt+=3)At.push(et[Kt],et[Kt+1]),gt.numPoints++,gt.numSimplified++;else if(xt===\"LineString\")Et(At,et,gt,Je,!1,!1);else if(xt===\"MultiLineString\"||xt===\"Polygon\")for(let Kt=0;Kt<et.length;Kt++)Et(At,et[Kt],gt,Je,xt===\"Polygon\",Kt===0);else if(xt===\"MultiPolygon\")for(let Kt=0;Kt<et.length;Kt++){let Qt=et[Kt];for(let Mr=0;Mr<Qt.length;Mr++)Et(At,Qt[Mr],gt,Je,!0,Mr===0)}if(At.length){let Kt=Ge.tags||null;if(xt===\"LineString\"&&We.lineMetrics){Kt={};for(let Mr in Ge.tags)Kt[Mr]=Ge.tags[Mr];Kt.mapbox_clip_start=et.start/et.size,Kt.mapbox_clip_end=et.end/et.size}let Qt={geometry:At,type:xt===\"Polygon\"||xt===\"MultiPolygon\"?3:xt===\"LineString\"||xt===\"MultiLineString\"?2:1,tags:Kt};Ge.id!==null&&(Qt.id=Ge.id),gt.features.push(Qt)}}function Et(gt,Ge,Je,We,et,xt){let At=We*We;if(We>0&&Ge.size<(et?At:We))return void(Je.numPoints+=Ge.length/3);let Kt=[];for(let Qt=0;Qt<Ge.length;Qt+=3)(We===0||Ge[Qt+2]>At)&&(Je.numSimplified++,Kt.push(Ge[Qt],Ge[Qt+1])),Je.numPoints++;et&&(function(Qt,Mr){let Gr=0;for(let Ir=0,Yr=Qt.length,_i=Yr-2;Ir<Yr;_i=Ir,Ir+=2)Gr+=(Qt[Ir]-Qt[_i])*(Qt[Ir+1]+Qt[_i+1]);if(Gr>0===Mr)for(let Ir=0,Yr=Qt.length;Ir<Yr/2;Ir+=2){let _i=Qt[Ir],Pi=Qt[Ir+1];Qt[Ir]=Qt[Yr-2-Ir],Qt[Ir+1]=Qt[Yr-1-Ir],Qt[Yr-2-Ir]=_i,Qt[Yr-1-Ir]=Pi}})(Kt,xt),gt.push(Kt)}let pt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class jt{constructor(Ge,Je){let We=(Je=this.options=(function(xt,At){for(let Kt in At)xt[Kt]=At[Kt];return xt})(Object.create(pt),Je)).debug;if(We&&console.time(\"preprocess data\"),Je.maxZoom<0||Je.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Je.promoteId&&Je.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let et=(function(xt,At){let Kt=[];if(xt.type===\"FeatureCollection\")for(let Qt=0;Qt<xt.features.length;Qt++)me(Kt,xt.features[Qt],At,Qt);else me(Kt,xt.type===\"Feature\"?xt:{geometry:xt},At);return Kt})(Ge,Je);this.tiles={},this.tileCoords=[],We&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Je.indexMaxZoom,Je.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),et=(function(xt,At){let Kt=At.buffer/At.extent,Qt=xt,Mr=Ht(xt,1,-1-Kt,Kt,0,-1,2,At),Gr=Ht(xt,1,1-Kt,2+Kt,0,-1,2,At);return(Mr||Gr)&&(Qt=Ht(xt,1,-Kt,1+Kt,0,-1,2,At)||[],Mr&&(Qt=Ue(Mr,1).concat(Qt)),Gr&&(Qt=Qt.concat(Ue(Gr,-1)))),Qt})(et,Je),et.length&&this.splitTile(et,0,0,0),We&&(et.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(Ge,Je,We,et,xt,At,Kt){let Qt=[Ge,Je,We,et],Mr=this.options,Gr=Mr.debug;for(;Qt.length;){et=Qt.pop(),We=Qt.pop(),Je=Qt.pop(),Ge=Qt.pop();let Ir=1<<Je,Yr=or(Je,We,et),_i=this.tiles[Yr];if(!_i&&(Gr>1&&console.time(\"creation\"),_i=this.tiles[Yr]=Tt(Ge,Je,We,et,Mr),this.tileCoords.push({z:Je,x:We,y:et}),Gr)){Gr>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Je,We,et,_i.numFeatures,_i.numPoints,_i.numSimplified),console.timeEnd(\"creation\"));let Yn=`z${Je}`;this.stats[Yn]=(this.stats[Yn]||0)+1,this.total++}if(_i.source=Ge,xt==null){if(Je===Mr.indexMaxZoom||_i.numPoints<=Mr.indexMaxPoints)continue}else{if(Je===Mr.maxZoom||Je===xt)continue;if(xt!=null){let Yn=xt-Je;if(We!==At>>Yn||et!==Kt>>Yn)continue}}if(_i.source=null,Ge.length===0)continue;Gr>1&&console.time(\"clipping\");let Pi=.5*Mr.buffer/Mr.extent,ai=.5-Pi,mi=.5+Pi,un=1+Pi,Fn=null,An=null,Hn=null,Qn=null,Vi=Ht(Ge,Ir,We-Pi,We+mi,0,_i.minX,_i.maxX,Mr),Jn=Ht(Ge,Ir,We+ai,We+un,0,_i.minX,_i.maxX,Mr);Ge=null,Vi&&(Fn=Ht(Vi,Ir,et-Pi,et+mi,1,_i.minY,_i.maxY,Mr),An=Ht(Vi,Ir,et+ai,et+un,1,_i.minY,_i.maxY,Mr),Vi=null),Jn&&(Hn=Ht(Jn,Ir,et-Pi,et+mi,1,_i.minY,_i.maxY,Mr),Qn=Ht(Jn,Ir,et+ai,et+un,1,_i.minY,_i.maxY,Mr),Jn=null),Gr>1&&console.timeEnd(\"clipping\"),Qt.push(Fn||[],Je+1,2*We,2*et),Qt.push(An||[],Je+1,2*We,2*et+1),Qt.push(Hn||[],Je+1,2*We+1,2*et),Qt.push(Qn||[],Je+1,2*We+1,2*et+1)}}getTile(Ge,Je,We){Ge=+Ge,Je=+Je,We=+We;let et=this.options,{extent:xt,debug:At}=et;if(Ge<0||Ge>24)return null;let Kt=1<<Ge,Qt=or(Ge,Je=Je+Kt&Kt-1,We);if(this.tiles[Qt])return rt(this.tiles[Qt],xt);At>1&&console.log(\"drilling down to z%d-%d-%d\",Ge,Je,We);let Mr,Gr=Ge,Ir=Je,Yr=We;for(;!Mr&&Gr>0;)Gr--,Ir>>=1,Yr>>=1,Mr=this.tiles[or(Gr,Ir,Yr)];return Mr&&Mr.source?(At>1&&(console.log(\"found parent tile z%d-%d-%d\",Gr,Ir,Yr),console.time(\"drilling down\")),this.splitTile(Mr.source,Gr,Ir,Yr,Ge,Je,We),At>1&&console.timeEnd(\"drilling down\"),this.tiles[Qt]?rt(this.tiles[Qt],xt):null):null}}function or(gt,Ge,Je){return 32*((1<<gt)*Je+Ge)+gt}function mr(gt,Ge){return Ge?gt.properties[Ge]:gt.id}function Ar(gt,Ge){if(gt==null)return!0;if(gt.type===\"Feature\")return mr(gt,Ge)!=null;if(gt.type===\"FeatureCollection\"){let Je=new Set;for(let We of gt.features){let et=mr(We,Ge);if(et==null||Je.has(et))return!1;Je.add(et)}return!0}return!1}function ei(gt,Ge){let Je=new Map;if(gt!=null)if(gt.type===\"Feature\")Je.set(mr(gt,Ge),gt);else for(let We of gt.features)Je.set(mr(We,Ge),We);return Je}class qr extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=Ge.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let et=this._geoJSONIndex.getTile(We.z,We.x,We.y);if(!et)return null;let xt=new class{constructor(Kt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=Kt.length,this._features=Kt}feature(Kt){return new class{constructor(Qt){this._feature=Qt,this.extent=i.X,this.type=Qt.type,this.properties=Qt.tags,\"id\"in Qt&&!isNaN(Qt.id)&&(this.id=parseInt(Qt.id,10))}loadGeometry(){if(this._feature.type===1){let Qt=[];for(let Mr of this._feature.geometry)Qt.push([new i.P(Mr[0],Mr[1])]);return Qt}{let Qt=[];for(let Mr of this._feature.geometry){let Gr=[];for(let Ir of Mr)Gr.push(new i.P(Ir[0],Ir[1]));Qt.push(Gr)}return Qt}}toGeoJSON(Qt,Mr,Gr){return v.call(this,Qt,Mr,Gr)}}(this._features[Kt])}}(et.features),At=G(xt);return At.byteOffset===0&&At.byteLength===At.buffer.byteLength||(At=new Uint8Array(At)),{vectorTile:xt,rawData:At.buffer}}))}loadData(Ge){return i._(this,void 0,void 0,(function*(){var Je;(Je=this._pendingRequest)===null||Je===void 0||Je.abort();let We=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ge,this._pendingRequest),this._geoJSONIndex=Ge.cluster?new _e((function({superclusterOptions:At,clusterProperties:Kt}){if(!Kt||!At)return At;let Qt={},Mr={},Gr={accumulated:null,zoom:0},Ir={properties:null},Yr=Object.keys(Kt);for(let _i of Yr){let[Pi,ai]=Kt[_i],mi=i.bC(ai),un=i.bC(typeof Pi==\"string\"?[Pi,[\"accumulated\"],[\"get\",_i]]:Pi);Qt[_i]=mi.value,Mr[_i]=un.value}return At.map=_i=>{Ir.properties=_i;let Pi={};for(let ai of Yr)Pi[ai]=Qt[ai].evaluate(Gr,Ir);return Pi},At.reduce=(_i,Pi)=>{Ir.properties=Pi;for(let ai of Yr)Gr.accumulated=_i[ai],_i[ai]=Mr[ai].evaluate(Gr,Ir)},At})(Ge)).load((yield this._pendingData).features):(et=yield this._pendingData,new jt(et,Ge.geojsonVtOptions)),this.loaded={};let xt={};if(We){let At=We.finish();At&&(xt.resourceTiming={},xt.resourceTiming[Ge.source]=JSON.parse(JSON.stringify(At)))}return xt}catch(xt){if(delete this._pendingRequest,i.bB(xt))return{abandoned:!0};throw xt}var et}))}getData(){return i._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(Ge){let Je=this.loaded;return Je&&Je[Ge.uid]?super.reloadTile(Ge):this.loadTile(Ge)}loadAndProcessGeoJSON(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=yield this.loadGeoJSON(Ge,Je);if(delete this._pendingRequest,typeof We!=\"object\")throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(d(We,!0),Ge.filter){let et=i.bC(Ge.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(et.result===\"error\")throw new Error(et.value.map((At=>`${At.key}: ${At.message}`)).join(\", \"));We={type:\"FeatureCollection\",features:We.features.filter((At=>et.value.evaluate({zoom:0},At)))}}return We}))}loadGeoJSON(Ge,Je){return i._(this,void 0,void 0,(function*(){let{promoteId:We}=Ge;if(Ge.request){let et=yield i.h(Ge.request,Je);return this._dataUpdateable=Ar(et.data,We)?ei(et.data,We):void 0,et.data}if(typeof Ge.data==\"string\")try{let et=JSON.parse(Ge.data);return this._dataUpdateable=Ar(et,We)?ei(et,We):void 0,et}catch(et){throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`)}if(!Ge.dataDiff)throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ge.source}`);return(function(et,xt,At){var Kt,Qt,Mr,Gr;if(xt.removeAll&&et.clear(),xt.remove)for(let Ir of xt.remove)et.delete(Ir);if(xt.add)for(let Ir of xt.add){let Yr=mr(Ir,At);Yr!=null&&et.set(Yr,Ir)}if(xt.update)for(let Ir of xt.update){let Yr=et.get(Ir.id);if(Yr==null)continue;let _i=!Ir.removeAllProperties&&(((Kt=Ir.removeProperties)===null||Kt===void 0?void 0:Kt.length)>0||((Qt=Ir.addOrUpdateProperties)===null||Qt===void 0?void 0:Qt.length)>0);if((Ir.newGeometry||Ir.removeAllProperties||_i)&&(Yr=Object.assign({},Yr),et.set(Ir.id,Yr),_i&&(Yr.properties=Object.assign({},Yr.properties))),Ir.newGeometry&&(Yr.geometry=Ir.newGeometry),Ir.removeAllProperties)Yr.properties={};else if(((Mr=Ir.removeProperties)===null||Mr===void 0?void 0:Mr.length)>0)for(let Pi of Ir.removeProperties)Object.prototype.hasOwnProperty.call(Yr.properties,Pi)&&delete Yr.properties[Pi];if(((Gr=Ir.addOrUpdateProperties)===null||Gr===void 0?void 0:Gr.length)>0)for(let{key:Pi,value:ai}of Ir.addOrUpdateProperties)Yr.properties[Pi]=ai}})(this._dataUpdateable,Ge.dataDiff,We),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(Ge){return i._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(Ge){return this._geoJSONIndex.getClusterExpansionZoom(Ge.clusterId)}getClusterChildren(Ge){return this._geoJSONIndex.getChildren(Ge.clusterId)}getClusterLeaves(Ge){return this._geoJSONIndex.getLeaves(Ge.clusterId,Ge.limit,Ge.offset)}}class jr{constructor(Ge){this.self=Ge,this.actor=new i.F(Ge),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Je,We)=>{if(this.externalWorkerSourceTypes[Je])throw new Error(`Worker source with name \"${Je}\" already registered.`);this.externalWorkerSourceTypes[Je]=We},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Je=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Je)},this.actor.registerMessageHandler(\"LDT\",((Je,We)=>this._getDEMWorkerSource(Je,We.source).loadTile(We))),this.actor.registerMessageHandler(\"RDT\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(Je,We.source).removeTile(We)})))),this.actor.registerMessageHandler(\"GCEZ\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterExpansionZoom(We)})))),this.actor.registerMessageHandler(\"GCC\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterChildren(We)})))),this.actor.registerMessageHandler(\"GCL\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterLeaves(We)})))),this.actor.registerMessageHandler(\"LD\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).loadData(We))),this.actor.registerMessageHandler(\"GD\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).getData())),this.actor.registerMessageHandler(\"LT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).loadTile(We))),this.actor.registerMessageHandler(\"RT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).reloadTile(We))),this.actor.registerMessageHandler(\"AT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).abortTile(We))),this.actor.registerMessageHandler(\"RMT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).removeTile(We))),this.actor.registerMessageHandler(\"RS\",((Je,We)=>i._(this,void 0,void 0,(function*(){if(!this.workerSources[Je]||!this.workerSources[Je][We.type]||!this.workerSources[Je][We.type][We.source])return;let et=this.workerSources[Je][We.type][We.source];delete this.workerSources[Je][We.type][We.source],et.removeSource!==void 0&&et.removeSource(We)})))),this.actor.registerMessageHandler(\"RM\",(Je=>i._(this,void 0,void 0,(function*(){delete this.layerIndexes[Je],delete this.availableImages[Je],delete this.workerSources[Je],delete this.demWorkerSources[Je]})))),this.actor.registerMessageHandler(\"SR\",((Je,We)=>i._(this,void 0,void 0,(function*(){this.referrer=We})))),this.actor.registerMessageHandler(\"SRPS\",((Je,We)=>this._syncRTLPluginState(Je,We))),this.actor.registerMessageHandler(\"IS\",((Je,We)=>i._(this,void 0,void 0,(function*(){this.self.importScripts(We)})))),this.actor.registerMessageHandler(\"SI\",((Je,We)=>this._setImages(Je,We))),this.actor.registerMessageHandler(\"UL\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getLayerIndex(Je).update(We.layers,We.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getLayerIndex(Je).replace(We)}))))}_setImages(Ge,Je){return i._(this,void 0,void 0,(function*(){this.availableImages[Ge]=Je;for(let We in this.workerSources[Ge]){let et=this.workerSources[Ge][We];for(let xt in et)et[xt].availableImages=Je}}))}_syncRTLPluginState(Ge,Je){return i._(this,void 0,void 0,(function*(){if(i.bD.isParsed())return i.bD.getState();if(Je.pluginStatus!==\"loading\")return i.bD.setState(Je),Je;let We=Je.pluginURL;if(this.self.importScripts(We),i.bD.isParsed()){let et={pluginStatus:\"loaded\",pluginURL:We};return i.bD.setState(et),et}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${We}`)}))}_getAvailableImages(Ge){let Je=this.availableImages[Ge];return Je||(Je=[]),Je}_getLayerIndex(Ge){let Je=this.layerIndexes[Ge];return Je||(Je=this.layerIndexes[Ge]=new a),Je}_getWorkerSource(Ge,Je,We){if(this.workerSources[Ge]||(this.workerSources[Ge]={}),this.workerSources[Ge][Je]||(this.workerSources[Ge][Je]={}),!this.workerSources[Ge][Je][We]){let et={sendAsync:(xt,At)=>(xt.targetMapId=Ge,this.actor.sendAsync(xt,At))};switch(Je){case\"vector\":this.workerSources[Ge][Je][We]=new u(et,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;case\"geojson\":this.workerSources[Ge][Je][We]=new qr(et,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;default:this.workerSources[Ge][Je][We]=new this.externalWorkerSourceTypes[Je](et,this._getLayerIndex(Ge),this._getAvailableImages(Ge))}}return this.workerSources[Ge][Je][We]}_getDEMWorkerSource(Ge,Je){return this.demWorkerSources[Ge]||(this.demWorkerSources[Ge]={}),this.demWorkerSources[Ge][Je]||(this.demWorkerSources[Ge][Je]=new c),this.demWorkerSources[Ge][Je]}}return i.i(self)&&(self.worker=new jr(self)),jr})),r(\"index\",[\"exports\",\"./shared\"],(function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:ue=>new Promise(((w,B)=>{let 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0&&(ee.className=B),Q&&Q.appendChild(ee),ee}static createNS(w,B){return window.document.createElementNS(w,B)}static disableDrag(){c.docStyle&&c.selectProp&&(c.userSelect=c.docStyle[c.selectProp],c.docStyle[c.selectProp]=\"none\")}static enableDrag(){c.docStyle&&c.selectProp&&(c.docStyle[c.selectProp]=c.userSelect)}static setTransform(w,B){w.style[c.transformProp]=B}static addEventListener(w,B,Q,ee={}){w.addEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static removeEventListener(w,B,Q,ee={}){w.removeEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static suppressClickInternal(w){w.preventDefault(),w.stopPropagation(),window.removeEventListener(\"click\",c.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",c.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",c.suppressClickInternal,!0)}),0)}static getScale(w){let B=w.getBoundingClientRect();return{x:B.width/w.offsetWidth||1,y:B.height/w.offsetHeight||1,boundingClientRect:B}}static getPoint(w,B,Q){let ee=B.boundingClientRect;return new a.P((Q.clientX-ee.left)/B.x-w.clientLeft,(Q.clientY-ee.top)/B.y-w.clientTop)}static mousePos(w,B){let Q=c.getScale(w);return c.getPoint(w,Q,B)}static touchPos(w,B){let Q=[],ee=c.getScale(w);for(let le=0;le<B.length;le++)Q.push(c.getPoint(w,ee,B[le]));return Q}static mouseButton(w){return w.button}static remove(w){w.parentNode&&w.parentNode.removeChild(w)}}c.docStyle=typeof window!=\"undefined\"&&window.document&&window.document.documentElement.style,c.selectProp=c.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),c.transformProp=c.testProp([\"transform\",\"WebkitTransform\"]);let f={supported:!1,testSupport:function(ue){!v&&d&&(m?b(ue):h=ue)}},h,d,v=!1,m=!1;function b(ue){let w=ue.createTexture();ue.bindTexture(ue.TEXTURE_2D,w);try{if(ue.texImage2D(ue.TEXTURE_2D,0,ue.RGBA,ue.RGBA,ue.UNSIGNED_BYTE,d),ue.isContextLost())return;f.supported=!0}catch(B){}ue.deleteTexture(w),v=!0}var p;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,m=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),(function(ue){let w,B,Q,ee;ue.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},ue.addThrottleControl=ut=>{let Mt=Q++;return ee[Mt]=ut,Mt},ue.removeThrottleControl=ut=>{delete ee[ut],Fe()},ue.getImage=(ut,Mt,Jt=!0)=>new Promise((($t,yr)=>{f.supported&&(ut.headers||(ut.headers={}),ut.headers.accept=\"image/webp,*/*\"),a.e(ut,{type:\"image\"}),w.push({abortController:Mt,requestParameters:ut,supportImageRefresh:Jt,state:\"queued\",onError:Cr=>{yr(Cr)},onSuccess:Cr=>{$t(Cr)}}),Fe()}));let le=ut=>a._(this,void 0,void 0,(function*(){ut.state=\"running\";let{requestParameters:Mt,supportImageRefresh:Jt,onError:$t,onSuccess:yr,abortController:Cr}=ut,ve=Jt===!1&&!a.i(self)&&!a.g(Mt.url)&&(!Mt.headers||Object.keys(Mt.headers).reduce(((ze,Qe)=>ze&&Qe===\"accept\"),!0));B++;let xe=ve?Ze(Mt,Cr):a.m(Mt,Cr);try{let ze=yield xe;delete ut.abortController,ut.state=\"completed\",ze.data instanceof HTMLImageElement||a.b(ze.data)?yr(ze):ze.data&&yr({data:yield(Ie=ze.data,typeof createImageBitmap==\"function\"?a.d(Ie):a.f(Ie)),cacheControl:ze.cacheControl,expires:ze.expires})}catch(ze){delete ut.abortController,$t(ze)}finally{B--,Fe()}var Ie})),Fe=()=>{let ut=(()=>{for(let Mt of Object.keys(ee))if(ee[Mt]())return!0;return!1})()?a.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:a.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let Mt=B;Mt<ut&&w.length>0;Mt++){let Jt=w.shift();Jt.abortController.signal.aborted?Mt--:le(Jt)}},Ze=(ut,Mt)=>new Promise(((Jt,$t)=>{let yr=new Image,Cr=ut.url,ve=ut.credentials;ve&&ve===\"include\"?yr.crossOrigin=\"use-credentials\":(ve&&ve===\"same-origin\"||!a.s(Cr))&&(yr.crossOrigin=\"anonymous\"),Mt.signal.addEventListener(\"abort\",(()=>{yr.src=\"\",$t(a.c())})),yr.fetchPriority=\"high\",yr.onload=()=>{yr.onerror=yr.onload=null,Jt({data:yr})},yr.onerror=()=>{yr.onerror=yr.onload=null,Mt.signal.aborted||$t(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},yr.src=Cr}))})(p||(p={})),p.resetRequestQueue();class k{constructor(w){this._transformRequestFn=w}transformRequest(w,B){return this._transformRequestFn&&this._transformRequestFn(w,B)||{url:w}}setTransformRequest(w){this._transformRequestFn=w}}function M(ue){var w=new a.A(3);return w[0]=ue[0],w[1]=ue[1],w[2]=ue[2],w}var T,L=function(ue,w,B){return ue[0]=w[0]-B[0],ue[1]=w[1]-B[1],ue[2]=w[2]-B[2],ue};T=new a.A(3),a.A!=Float32Array&&(T[0]=0,T[1]=0,T[2]=0);var x=function(ue){var w=ue[0],B=ue[1];return w*w+B*B};function C(ue){let w=[];if(typeof ue==\"string\")w.push({id:\"default\",url:ue});else if(ue&&ue.length>0){let B=[];for(let{id:Q,url:ee}of ue){let le=`${Q}${ee}`;B.indexOf(le)===-1&&(B.push(le),w.push({id:Q,url:ee}))}}return w}function S(ue,w,B){let Q=ue.split(\"?\");return Q[0]+=`${w}${B}`,Q.join(\"?\")}(function(){var ue=new a.A(2);a.A!=Float32Array&&(ue[0]=0,ue[1]=0)})();class g{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:le}=w,Fe=!(this.size&&this.size[0]===ee&&this.size[1]===le||Q),{context:Ze}=this,{gl:ut}=Ze;if(this.useMipmap=!!(B&&B.useMipmap),ut.bindTexture(ut.TEXTURE_2D,this.texture),Ze.pixelStoreUnpackFlipY.set(!1),Ze.pixelStoreUnpack.set(1),Ze.pixelStoreUnpackPremultiplyAlpha.set(this.format===ut.RGBA&&(!B||B.premultiply!==!1)),Fe)this.size=[ee,le],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ut.texImage2D(ut.TEXTURE_2D,0,this.format,this.format,ut.UNSIGNED_BYTE,w):ut.texImage2D(ut.TEXTURE_2D,0,this.format,ee,le,0,this.format,ut.UNSIGNED_BYTE,w.data);else{let{x:Mt,y:Jt}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ut.texSubImage2D(ut.TEXTURE_2D,0,Mt,Jt,ut.RGBA,ut.UNSIGNED_BYTE,w):ut.texSubImage2D(ut.TEXTURE_2D,0,Mt,Jt,ee,le,ut.RGBA,ut.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&ut.generateMipmap(ut.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:le}=ee;le.bindTexture(le.TEXTURE_2D,this.texture),Q!==le.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=le.LINEAR),w!==this.filter&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,w),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,B),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(ue){let{userImage:w}=ue;return!!(w&&w.render&&w.render())&&(ue.data.replace(new Uint8Array(w.data.buffer)),!0)}class E extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,le=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||le<w[1]||w[2]<0||ee<w[2]||w[3]<0||le<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise(((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let le of w)this.images[le]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})}))}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},le=new a.I(ee,Q);this.patterns[w]={bin:ee,position:le}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new g(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let le in this.patterns)w.push(this.patterns[le].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let le in this.patterns){let{bin:Fe}=this.patterns[le],Ze=Fe.x+1,ut=Fe.y+1,Mt=this.getImage(le).data,Jt=Mt.width,$t=Mt.height;a.R.copy(Mt,ee,{x:0,y:0},{x:Ze,y:ut},{width:Jt,height:$t}),a.R.copy(Mt,ee,{x:0,y:$t-1},{x:Ze,y:ut-1},{width:Jt,height:1}),a.R.copy(Mt,ee,{x:0,y:0},{x:Ze,y:ut+$t},{width:Jt,height:1}),a.R.copy(Mt,ee,{x:Jt-1,y:0},{x:Ze-1,y:ut},{width:1,height:$t}),a.R.copy(Mt,ee,{x:0,y:0},{x:Ze+Jt,y:ut},{width:1,height:$t})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let z=1e20;function q(ue,w,B,Q,ee,le,Fe,Ze,ut){for(let Mt=w;Mt<w+Q;Mt++)V(ue,B*le+Mt,le,ee,Fe,Ze,ut);for(let Mt=B;Mt<B+ee;Mt++)V(ue,Mt*le+w,1,Q,Fe,Ze,ut)}function V(ue,w,B,Q,ee,le,Fe){le[0]=0,Fe[0]=-z,Fe[1]=z,ee[0]=ue[w];for(let Ze=1,ut=0,Mt=0;Ze<Q;Ze++){ee[Ze]=ue[w+Ze*B];let Jt=Ze*Ze;do{let $t=le[ut];Mt=(ee[Ze]-ee[$t]+Jt-$t*$t)/(Ze-$t)/2}while(Mt<=Fe[ut]&&--ut>-1);ut++,le[ut]=Ze,Fe[ut]=Mt,Fe[ut+1]=z}for(let Ze=0,ut=0;Ze<Q;Ze++){for(;Fe[ut+1]<Ze;)ut++;let Mt=le[ut],Jt=Ze-Mt;ue[w+Ze*B]=ee[Mt]+Jt*Jt}}class G{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,(function*(){let B=[];for(let le in w)for(let Fe of w[le])B.push(this._getAndCacheGlyphsPromise(le,Fe));let Q=yield Promise.all(B),ee={};for(let{stack:le,id:Fe,glyph:Ze}of Q)ee[le]||(ee[le]={}),ee[le][Fe]=Ze&&{id:Ze.id,bitmap:Ze.bitmap.clone(),metrics:Ze.metrics};return ee}))}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,(function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let le=Math.floor(B/256);if(256*le>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[le])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[le]){let Ze=G.loadGlyphRange(w,le,this.url,this.requestManager);Q.requests[le]=Ze}let Fe=yield Q.requests[le];for(let Ze in Fe)this._doesCharSupportLocalGlyph(+Ze)||(Q.glyphs[+Ze]=Fe[+Ze]);return Q.ranges[le]=!0,{stack:w,id:B,glyph:Fe[B]||null}}))}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let le=w.tinySDF;if(!le){let Ze=\"400\";/bold/i.test(B)?Ze=\"900\":/medium/i.test(B)?Ze=\"500\":/light/i.test(B)&&(Ze=\"200\"),le=w.tinySDF=new G.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:Ze})}let Fe=le.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:Fe.width||60,height:Fe.height||60},Fe.data),metrics:{width:Fe.glyphWidth/2||24,height:Fe.glyphHeight/2||24,left:Fe.glyphLeft/2+.5||0,top:Fe.glyphTop/2-27.5||-8,advance:Fe.glyphAdvance/2||24,isDoubleResolution:!0}}}}G.loadGlyphRange=function(ue,w,B,Q){return a._(this,void 0,void 0,(function*(){let ee=256*w,le=ee+255,Fe=Q.transformRequest(B.replace(\"{fontstack}\",ue).replace(\"{range}\",`${ee}-${le}`),\"Glyphs\"),Ze=yield a.l(Fe,new AbortController);if(!Ze||!Ze.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${le}`);let ut={};for(let Mt of a.n(Ze.data))ut[Mt.id]=Mt;return ut}))},G.TinySDF=class{constructor({fontSize:ue=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:le=\"normal\",fontStyle:Fe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let Ze=this.size=ue+4*w,ut=this._createCanvas(Ze),Mt=this.ctx=ut.getContext(\"2d\",{willReadFrequently:!0});Mt.font=`${Fe} ${le} ${ue}px ${ee}`,Mt.textBaseline=\"alphabetic\",Mt.textAlign=\"left\",Mt.fillStyle=\"black\",this.gridOuter=new Float64Array(Ze*Ze),this.gridInner=new Float64Array(Ze*Ze),this.f=new Float64Array(Ze),this.z=new Float64Array(Ze+1),this.v=new Uint16Array(Ze)}_createCanvas(ue){let w=document.createElement(\"canvas\");return w.width=w.height=ue,w}draw(ue){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:le}=this.ctx.measureText(ue),Fe=Math.ceil(B),Ze=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(le-ee))),ut=Math.min(this.size-this.buffer,Fe+Math.ceil(Q)),Mt=Ze+2*this.buffer,Jt=ut+2*this.buffer,$t=Math.max(Mt*Jt,0),yr=new Uint8ClampedArray($t),Cr={data:yr,width:Mt,height:Jt,glyphWidth:Ze,glyphHeight:ut,glyphTop:Fe,glyphLeft:0,glyphAdvance:w};if(Ze===0||ut===0)return Cr;let{ctx:ve,buffer:xe,gridInner:Ie,gridOuter:ze}=this;ve.clearRect(xe,xe,Ze,ut),ve.fillText(ue,xe,xe+Fe);let Qe=ve.getImageData(xe,xe,Ze,ut);ze.fill(z,0,$t),Ie.fill(0,0,$t);for(let Xe=0;Xe<ut;Xe++)for(let nt=0;nt<Ze;nt++){let qt=Qe.data[4*(Xe*Ze+nt)+3]/255;if(qt===0)continue;let Wt=(Xe+xe)*Mt+nt+xe;if(qt===1)ze[Wt]=0,Ie[Wt]=z;else{let nr=.5-qt;ze[Wt]=nr>0?nr*nr:0,Ie[Wt]=nr<0?nr*nr:0}}q(ze,0,0,Mt,Jt,Mt,this.f,this.v,this.z),q(Ie,xe,xe,Ze,ut,Mt,this.f,this.v,this.z);for(let Xe=0;Xe<$t;Xe++){let nt=Math.sqrt(ze[Xe])-Math.sqrt(Ie[Xe]);yr[Xe]=Math.round(255-255*(nt/this.radius+this.cutoff))}return Cr}};class Z{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let j;class N extends a.E{constructor(w){super(),j=j||new a.q({anchor:new a.D(a.v.light.anchor),position:new Z,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(j),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let H=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class re extends a.E{constructor(w){super(),this._transitionable=new a.T(H),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class ae{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],le=w.length%2==1?-w[w.length-1]*Q:0,Fe=w[0]*Q,Ze=!0;ee.push({left:le,right:Fe,isDash:Ze,zeroLength:w[0]===0});let ut=w[0];for(let Mt=1;Mt<w.length;Mt++){Ze=!Ze;let Jt=w[Mt];le=ut*Q,ut+=Jt,Fe=ut*Q,ee.push({left:le,right:Fe,isDash:Ze,zeroLength:Jt===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let le=-Q;le<=Q;le++){let Fe=this.width*(this.nextRow+Q+le),Ze=0,ut=w[Ze];for(let Mt=0;Mt<this.width;Mt++){Mt/ut.right>1&&(ut=w[++Ze]);let Jt=Math.abs(Mt-ut.left),$t=Math.abs(Mt-ut.right),yr=Math.min(Jt,$t),Cr,ve=le/Q*(ee+1);if(ut.isDash){let xe=ee-Math.abs(ve);Cr=Math.sqrt(yr*yr+xe*xe)}else Cr=ee-Math.sqrt(yr*yr+ve*ve);this.data[Fe+Mt]=Math.max(0,Math.min(255,Cr+128))}}}addRegularDash(w){for(let Ze=w.length-1;Ze>=0;--Ze){let ut=w[Ze],Mt=w[Ze+1];ut.zeroLength?w.splice(Ze,1):Mt&&Mt.isDash===ut.isDash&&(Mt.left=ut.left,w.splice(Ze,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,le=0,Fe=w[le];for(let Ze=0;Ze<this.width;Ze++){Ze/Fe.right>1&&(Fe=w[++le]);let ut=Math.abs(Ze-Fe.left),Mt=Math.abs(Ze-Fe.right),Jt=Math.min(ut,Mt);this.data[ee+Ze]=Math.max(0,Math.min(255,(Fe.isDash?Jt:-Jt)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let le=0;for(let Ze=0;Ze<w.length;Ze++)le+=w[Ze];if(le!==0){let Ze=this.width/le,ut=this.getDashRanges(w,this.width,Ze);B?this.addRoundDash(ut,Ze,Q):this.addRegularDash(ut)}let Fe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:le};return this.nextRow+=ee,this.dirty=!0,Fe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Ee{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Ee.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach((B=>{B.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let Ce=Math.floor(u.hardwareConcurrency/2),ge,ie;function Se(){return ge||(ge=new Ee),ge}Ee.workerCount=a.C(globalThis)?Math.max(Math.min(Ce,3),1):1;class ke{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let le=new a.F(Q[ee],B);le.name=`Worker ${ee}`,this.actors.push(le)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach((B=>{B.remove()})),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function be(){return ie||(ie=new ke(Se(),a.G),ie.registerMessageHandler(\"GR\",((ue,w,B)=>a.m(w,B)))),ie}function Be(ue,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*ue.width,.5*ue.height,1]),a.L(B,B,ue.calculatePosMatrix(w.toUnwrapped()))}function Le(ue,w,B,Q,ee,le){let Fe=(function($t,yr,Cr){if($t)for(let ve of $t){let xe=yr[ve];if(xe&&xe.source===Cr&&xe.type===\"fill-extrusion\")return!0}else for(let ve in yr){let xe=yr[ve];if(xe.source===Cr&&xe.type===\"fill-extrusion\")return!0}return!1})(ee&&ee.layers,w,ue.id),Ze=le.maxPitchScaleFactor(),ut=ue.tilesIn(Q,Ze,Fe);ut.sort(me);let Mt=[];for(let $t of ut)Mt.push({wrappedTileID:$t.tileID.wrapped().key,queryResults:$t.tile.queryRenderedFeatures(w,B,ue._state,$t.queryGeometry,$t.cameraQueryGeometry,$t.scale,ee,le,Ze,Be(ue.transform,$t.tileID))});let Jt=(function($t){let yr={},Cr={};for(let ve of $t){let xe=ve.queryResults,Ie=ve.wrappedTileID,ze=Cr[Ie]=Cr[Ie]||{};for(let Qe in xe){let Xe=xe[Qe],nt=ze[Qe]=ze[Qe]||{},qt=yr[Qe]=yr[Qe]||[];for(let Wt of Xe)nt[Wt.featureIndex]||(nt[Wt.featureIndex]=!0,qt.push(Wt))}}return yr})(Mt);for(let $t in Jt)Jt[$t].forEach((yr=>{let Cr=yr.feature,ve=ue.getFeatureState(Cr.layer[\"source-layer\"],Cr.id);Cr.source=Cr.layer.source,Cr.layer[\"source-layer\"]&&(Cr.sourceLayer=Cr.layer[\"source-layer\"]),Cr.state=ve}));return Jt}function me(ue,w){let B=ue.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Pe(ue,w,B){return a._(this,void 0,void 0,(function*(){let Q=ue;if(ue.url?Q=(yield a.h(w.transformRequest(ue.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,ue),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map((le=>le.id))),ee}))}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,le;if(w instanceof a.N)ee=w,le=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,le=w._ne,!ee||!le)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(le.lng,Q.lng),Q.lat=Math.max(le.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(le.lng,le.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class He{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),le=Math.ceil(a.O(this.bounds.getEast())*B),Fe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<le&&w.y>=ee&&w.y<Fe}}class lt extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Pe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new He(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}}))}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty((()=>{this._options.tiles=w})),this}setUrl(w){return this.setSourceProperty((()=>{this.url=w,this._options.url=w})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise(((le,Fe)=>{w.reloadPromise={resolve:le,reject:Fe}}))}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let le=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,le)}catch(le){if(delete w.abortController,w.aborted)return;if(le&&le.status!==404)throw le;this._afterTileLoadWorkerResponse(w,null)}}))}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class mt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Pe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new He(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}}))}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty((()=>{this._options.tiles=w})),this}setUrl(w){return this.setSourceProperty((()=>{this.url=w,this._options.url=w})),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield p.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,le=ee.gl,Fe=Q.data;w.texture=this.map.painter.getTileTexture(Fe.width),w.texture?w.texture.update(Fe,{useMipmap:!0}):(w.texture=new g(ee,Fe,le.RGBA,{useMipmap:!0}),w.texture.bind(le.LINEAR,le.CLAMP_TO_EDGE,le.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}}))}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)}))}hasTransition(){return!1}}class Ht extends mt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield p.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let le=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let Fe=a.b(le)&&a.U()?le:yield this.readImageNow(le),Ze={type:this.type,uid:w.uid,source:this.id,rawImageData:Fe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let ut=yield w.actor.sendAsync({type:\"LDT\",data:Ze});w.dem=ut,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}}))}readImageNow(w){return a._(this,void 0,void 0,(function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)}))}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,le=B.x===0?w.wrap-1:w.wrap,Fe=(B.x+1+Q)%Q,Ze=B.x+1===Q?w.wrap+1:w.wrap,ut={};return ut[new a.S(w.overscaledZ,le,B.z,ee,B.y).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y).key]={backfilled:!1},B.y>0&&(ut[new a.S(w.overscaledZ,le,B.z,ee,B.y-1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(ut[new a.S(w.overscaledZ,le,B.z,ee,B.y+1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y+1).key]={backfilled:!1}),ut}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))}))}}class at extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let le=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*le,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*le,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*le,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,(function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})}))}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,(function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let le={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(le,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}}))}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")}))}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var ct=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class ar extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}}))}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=(function(ee){let le=1/0,Fe=1/0,Ze=-1/0,ut=-1/0;for(let yr of ee)le=Math.min(le,yr.x),Fe=Math.min(Fe,yr.y),Ze=Math.max(Ze,yr.x),ut=Math.max(ut,yr.y);let Mt=Math.max(Ze-le,ut-Fe),Jt=Math.max(0,Math.floor(-Math.log(Mt)/Math.LN2)),$t=Math.pow(2,Jt);return new a.a1(Jt,Math.floor((le+Ze)/2*$t),Math.floor((Fe+ut)/2*$t))})(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map((ee=>this.tileID.getTilePoint(ee)._round()));return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new g(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class Vt extends ar{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new g(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class rr extends ar{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some((le=>!Array.isArray(le)||le.length!==2||le.some((Fe=>typeof Fe!=\"number\"))))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new g(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let le in this.tiles){let Fe=this.tiles[le];Fe.state!==\"loaded\"&&(Fe.state=\"loaded\",Fe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let tt={},je=ue=>{switch(ue){case\"geojson\":return at;case\"image\":return ar;case\"raster\":return mt;case\"raster-dem\":return Ht;case\"vector\":return lt;case\"video\":return Vt;case\"canvas\":return rr}return tt[ue]},Ue=\"RTLPluginLoaded\";class Ae extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=be()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch((B=>{throw this.status=\"error\",B}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,(function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()}))}_requestImport(){return a._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(Ue))}))}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let rt=null;function St(){return rt||(rt=new Ae),rt}class Tt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=(function(ee,le){let Fe={};if(!le)return Fe;for(let Ze of ee){let ut=Ze.layerIds.map((Mt=>le.getLayer(Mt))).filter(Boolean);if(ut.length!==0){Ze.layers=ut,Ze.stateDependentLayerIds&&(Ze.stateDependentLayers=Ze.stateDependentLayerIds.map((Mt=>ut.filter((Jt=>Jt.id===Mt))[0])));for(let Mt of ut)Fe[Mt.id]=Ze}}return Fe})(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;le.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6&&le.hasRTLText){this.hasRTLText=!0,St().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let le=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(le))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new g(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new g(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:le,scale:Fe,tileSize:this.tileSize,pixelPosMatrix:Jt,transform:ut,params:Ze,queryPadding:this.queryPadding*Mt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),le=B&&B.sourceLayer?B.sourceLayer:\"\",Fe=ee._geojsonTileLayer||ee[le];if(!Fe)return;let Ze=a.a7(B&&B.filter),{z:ut,x:Mt,y:Jt}=this.tileID.canonical,$t={z:ut,x:Mt,y:Jt};for(let yr=0;yr<Fe.length;yr++){let Cr=Fe.feature(yr);if(Ze.needGeometry){let Ie=a.a8(Cr,!0);if(!Ze.filter(new a.z(this.tileID.overscaledZ),Ie,this.tileID.canonical))continue}else if(!Ze.filter(new a.z(this.tileID.overscaledZ),Cr))continue;let ve=Q.getId(Cr,le),xe=new a.a9(Cr,ut,Mt,Jt,ve);xe.tile=$t,w.push(xe)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let le=this.expirationTime-B;le?this.expirationTime=Q+Math.max(le,3e4):ee=!0}else ee=!0;ee?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)}setFeatureState(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let le=this.buckets[ee],Fe=le.layers[0].sourceLayer||\"_geojsonTileLayer\",Ze=Q[Fe],ut=w[Fe];if(!Ze||!ut||Object.keys(ut).length===0)continue;le.update(ut,Ze,this.imageAtlas&&this.imageAtlas.patternPositions||{});let Mt=B&&B.style&&B.style.getLayer(ee);Mt&&(this.queryPadding=Math.max(this.queryPadding,Mt.queryRadius(le)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let le of B)if(ee[le])return!0}}return!1}}class dt{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let le={value:B,timeout:void 0};if(Q!==void 0&&(le.timeout=setTimeout((()=>{this.remove(w,le)}),Q)),this.data[ee].push(le),this.order.push(ee),this.order.length>this.max){let Fe=this._getAndRemoveByKey(this.order[0]);Fe&&this.onRemove(Fe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),le=this.data[Q][ee];return this.data[Q].splice(ee,1),le.timeout&&clearTimeout(le.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(le.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class Et{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let le in this.state[w])le!==ee&&(this.deletedStates[w][le]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let le in this.state[w][ee])Q[le]||(this.deletedStates[w][ee][le]=null)}else for(let le in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][le]===null&&delete this.deletedStates[w][ee][le]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let le=this.deletedStates[w][B];if(le===null)return{};for(let Fe in le)delete ee[Fe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let le={};for(let Fe in this.stateChanges[ee])this.state[ee][Fe]||(this.state[ee][Fe]={}),a.e(this.state[ee][Fe],this.stateChanges[ee][Fe]),le[Fe]=this.state[ee][Fe];Q[ee]=le}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let le={};if(this.deletedStates[ee]===null)for(let Fe in this.state[ee])le[Fe]={},this.state[ee][Fe]={};else for(let Fe in this.deletedStates[ee]){if(this.deletedStates[ee][Fe]===null)this.state[ee][Fe]={};else for(let Ze of Object.keys(this.deletedStates[ee][Fe]))delete this.state[ee][Fe][Ze];le[Fe]=this.state[ee][Fe]}Q[ee]=Q[ee]||{},a.e(Q[ee],le)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class pt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",(ee=>this._dataHandler(ee))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((ee,le,Fe,Ze)=>{let ut=new(je(le.type))(ee,le,Fe,Ze);if(ut.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${ut.id}`);return ut})(w,B,Q,this),this._tiles={},this._cache=new dt(0,(ee=>this._unloadTile(ee))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Et,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}}))}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((w=>w.tileID)).sort(jt).map((w=>w.key))}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort(((Q,ee)=>{let le=Q.tileID,Fe=ee.tileID,Ze=new a.P(le.canonical.x,le.canonical.y)._rotate(this.transform.angle),ut=new a.P(Fe.canonical.x,Fe.canonical.y)._rotate(this.transform.angle);return le.overscaledZ-Fe.overscaledZ||ut.y-Ze.y||ut.x-Ze.x})).map((Q=>Q.tileID.key)):B.map((Q=>Q.tileID)).sort(jt).map((Q=>Q.key))}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,(function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))}))}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let le=B[ee];if(w.neighboringTiles&&w.neighboringTiles[le]){let Fe=this.getTileByID(le);Q(w,Fe),Q(Fe,w)}}function Q(ee,le){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let Fe=le.tileID.canonical.x-ee.tileID.canonical.x,Ze=le.tileID.canonical.y-ee.tileID.canonical.y,ut=Math.pow(2,ee.tileID.canonical.z),Mt=le.tileID.key;Fe===0&&Ze===0||Math.abs(Ze)>1||(Math.abs(Fe)>1&&(Math.abs(Fe+ut)===1?Fe+=ut:Math.abs(Fe-ut)===1&&(Fe-=ut)),le.dem&&ee.dem&&(ee.dem.backfillBorder(le.dem,Fe,Ze),ee.neighboringTiles&&ee.neighboringTiles[Mt]&&(ee.neighboringTiles[Mt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let le in this._tiles){let Fe=this._tiles[le];if(ee[le]||!Fe.hasData()||Fe.tileID.overscaledZ<=B||Fe.tileID.overscaledZ>Q)continue;let Ze=Fe.tileID;for(;Fe&&Fe.tileID.overscaledZ>B+1;){let Mt=Fe.tileID.scaledTo(Fe.tileID.overscaledZ-1);Fe=this._tiles[Mt.key],Fe&&Fe.hasData()&&(Ze=Mt)}let ut=Ze;for(;ut.overscaledZ>B;)if(ut=ut.scaledTo(ut.overscaledZ-1),w[ut.key]){ee[Ze.key]=Ze;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),le=this._getLoadedTile(ee);if(le)return le}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),le=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(le)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let le=this._tiles[ee];le.tileID=le.tileID.unwrapTo(le.tileID.wrap+B),Q[le.tileID.key]=le}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,le,Fe){let Ze={},ut={},Mt=Object.keys(w),Jt=u.now();for(let $t of Mt){let yr=w[$t],Cr=this._tiles[$t];if(!Cr||Cr.fadeEndTime!==0&&Cr.fadeEndTime<=Jt)continue;let ve=this.findLoadedParent(yr,B),xe=this.findLoadedSibling(yr),Ie=ve||xe||null;Ie&&(this._addTile(Ie.tileID),Ze[Ie.tileID.key]=Ie.tileID),ut[$t]=yr}this._retainLoadedChildren(ut,ee,Q,w);for(let $t in Ze)w[$t]||(this._coveredTiles[$t]=!0,w[$t]=Ze[$t]);if(Fe){let $t={},yr={};for(let Cr of le)this._tiles[Cr.key].hasData()?$t[Cr.key]=Cr:yr[Cr.key]=Cr;for(let Cr in yr){let ve=yr[Cr].children(this._source.maxzoom);this._tiles[ve[0].key]&&this._tiles[ve[1].key]&&this._tiles[ve[2].key]&&this._tiles[ve[3].key]&&($t[ve[0].key]=w[ve[0].key]=ve[0],$t[ve[1].key]=w[ve[1].key]=ve[1],$t[ve[2].key]=w[ve[2].key]=ve[2],$t[ve[3].key]=w[ve[3].key]=ve[3],delete yr[Cr])}for(let Cr in yr){let ve=yr[Cr],xe=this.findLoadedParent(ve,this._source.minzoom),Ie=this.findLoadedSibling(ve),ze=xe||Ie||null;if(ze){$t[ze.tileID.key]=w[ze.tileID.key]=ze.tileID;for(let Qe in $t)$t[Qe].isChildOf(ze.tileID)&&delete $t[Qe]}}for(let Cr in this._tiles)$t[Cr]||(this._coveredTiles[Cr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map((Jt=>new a.S(Jt.canonical.z,Jt.wrap,Jt.canonical.z,Jt.canonical.x,Jt.canonical.y))):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter((Jt=>this._source.hasTile(Jt))))):Q=[];let ee=w.coveringZoomLevel(this._source),le=Math.max(ee-pt.maxOverzooming,this._source.minzoom),Fe=Math.max(ee+pt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Jt={};for(let $t of Q)if($t.canonical.z>this._source.minzoom){let yr=$t.scaledTo($t.canonical.z-1);Jt[yr.key]=yr;let Cr=$t.scaledTo(Math.max(this._source.minzoom,Math.min($t.canonical.z,5)));Jt[Cr.key]=Cr}Q=Q.concat(Object.values(Jt))}let Ze=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,Ze&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let ut=this._updateRetainedTiles(Q,ee);or(this._source.type)&&this._updateCoveredAndRetainedTiles(ut,le,Fe,ee,Q,B);for(let Jt in ut)this._tiles[Jt].clearFadeHold();let Mt=a.ab(this._tiles,ut);for(let Jt of Mt){let $t=this._tiles[Jt];$t.hasSymbolBuckets&&!$t.holdingForFade()?$t.setHoldDuration(this.map._fadeDuration):$t.hasSymbolBuckets&&!$t.symbolFadeFinished()||this._removeTile(Jt)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},le={},Fe=Math.max(B-pt.maxOverzooming,this._source.minzoom),Ze=Math.max(B+pt.maxUnderzooming,this._source.minzoom),ut={};for(let Mt of w){let Jt=this._addTile(Mt);ee[Mt.key]=Mt,Jt.hasData()||B<this._source.maxzoom&&(ut[Mt.key]=Mt)}this._retainLoadedChildren(ut,B,Ze,ee);for(let Mt of w){let Jt=this._tiles[Mt.key];if(Jt.hasData())continue;if(B+1>this._source.maxzoom){let yr=Mt.children(this._source.maxzoom)[0],Cr=this.getTile(yr);if(Cr&&Cr.hasData()){ee[yr.key]=yr;continue}}else{let yr=Mt.children(this._source.maxzoom);if(ee[yr[0].key]&&ee[yr[1].key]&&ee[yr[2].key]&&ee[yr[3].key])continue}let $t=Jt.wasRequested();for(let yr=Mt.overscaledZ-1;yr>=Fe;--yr){let Cr=Mt.scaledTo(yr);if(le[Cr.key])break;if(le[Cr.key]=!0,Jt=this.getTile(Cr),!Jt&&$t&&(Jt=this._addTile(Cr)),Jt){let ve=Jt.hasData();if((ve||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||$t)&&(ee[Cr.key]=Cr),$t=Jt.wasRequested(),ve)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let le=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(le),Q)break;ee=le}for(let le of B)this._loadedParentTiles[le]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Tt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout((()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]}),Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],le=this.transform;if(!le)return ee;let Fe=Q?le.getCameraQueryGeometry(w):w,Ze=w.map((ve=>le.pointCoordinate(ve,this.terrain))),ut=Fe.map((ve=>le.pointCoordinate(ve,this.terrain))),Mt=this.getIds(),Jt=1/0,$t=1/0,yr=-1/0,Cr=-1/0;for(let ve of ut)Jt=Math.min(Jt,ve.x),$t=Math.min($t,ve.y),yr=Math.max(yr,ve.x),Cr=Math.max(Cr,ve.y);for(let ve=0;ve<Mt.length;ve++){let xe=this._tiles[Mt[ve]];if(xe.holdingForFade())continue;let Ie=xe.tileID,ze=Math.pow(2,le.zoom-xe.tileID.overscaledZ),Qe=B*xe.queryPadding*a.X/xe.tileSize/ze,Xe=[Ie.getTilePoint(new a.Z(Jt,$t)),Ie.getTilePoint(new a.Z(yr,Cr))];if(Xe[0].x-Qe<a.X&&Xe[0].y-Qe<a.X&&Xe[1].x+Qe>=0&&Xe[1].y+Qe>=0){let nt=Ze.map((Wt=>Ie.getTilePoint(Wt))),qt=ut.map((Wt=>Ie.getTilePoint(Wt)));ee.push({tile:xe,tileID:Ie,queryGeometry:nt,cameraQueryGeometry:qt,scale:ze})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map((Q=>this._tiles[Q].tileID));for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if(or(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter((Q=>!Q.hasDependency(w,B)))}}function jt(ue,w){let B=Math.abs(2*ue.wrap)-+(ue.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return ue.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-ue.canonical.y||w.canonical.x-ue.canonical.x}function or(ue){return ue===\"raster\"||ue===\"image\"||ue===\"video\"}pt.maxOverzooming=10,pt.maxUnderzooming=3;class mr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let le=B-1,Fe=this._distances[le],Ze=Q-Fe,ut=Ze>0?(ee-Fe)/Ze:0;return this.points[le].mult(1-ut).add(this.points[B].mult(ut))}}function Ar(ue,w){let B=!0;return ue===\"always\"||ue!==\"never\"&&w!==\"never\"||(B=!1),B}class ei{constructor(w,B,Q){let ee=this.boxCells=[],le=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let Fe=0;Fe<this.xCellCount*this.yCellCount;Fe++)ee.push([]),le.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,le){this._forEachCell(B,Q,ee,le,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(le)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,le,Fe){this.boxCells[le].push(Fe)}_insertCircleCell(w,B,Q,ee,le,Fe){this.circleCells[le].push(Fe)}_query(w,B,Q,ee,le,Fe,Ze){if(Q<0||w>this.width||ee<0||B>this.height)return[];let ut=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(le)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let Mt=0;Mt<this.boxKeys.length;Mt++)ut.push({key:this.boxKeys[Mt],x1:this.bboxes[4*Mt],y1:this.bboxes[4*Mt+1],x2:this.bboxes[4*Mt+2],y2:this.bboxes[4*Mt+3]});for(let Mt=0;Mt<this.circleKeys.length;Mt++){let Jt=this.circles[3*Mt],$t=this.circles[3*Mt+1],yr=this.circles[3*Mt+2];ut.push({key:this.circleKeys[Mt],x1:Jt-yr,y1:$t-yr,x2:Jt+yr,y2:$t+yr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,ut,{hitTest:le,overlapMode:Fe,seenUids:{box:{},circle:{}}},Ze);return ut}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,le,Fe){return this._query(w,B,Q,ee,!0,le,Fe).length>0}hitTestCircle(w,B,Q,ee,le){let Fe=w-Q,Ze=w+Q,ut=B-Q,Mt=B+Q;if(Ze<0||Fe>this.width||Mt<0||ut>this.height)return!1;let Jt=[];return this._forEachCell(Fe,ut,Ze,Mt,this._queryCellCircle,Jt,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},le),Jt.length>0}_queryCell(w,B,Q,ee,le,Fe,Ze,ut){let{seenUids:Mt,hitTest:Jt,overlapMode:$t}=Ze,yr=this.boxCells[le];if(yr!==null){let ve=this.bboxes;for(let xe of yr)if(!Mt.box[xe]){Mt.box[xe]=!0;let Ie=4*xe,ze=this.boxKeys[xe];if(w<=ve[Ie+2]&&B<=ve[Ie+3]&&Q>=ve[Ie+0]&&ee>=ve[Ie+1]&&(!ut||ut(ze))&&(!Jt||!Ar($t,ze.overlapMode))&&(Fe.push({key:ze,x1:ve[Ie],y1:ve[Ie+1],x2:ve[Ie+2],y2:ve[Ie+3]}),Jt))return!0}}let Cr=this.circleCells[le];if(Cr!==null){let ve=this.circles;for(let xe of Cr)if(!Mt.circle[xe]){Mt.circle[xe]=!0;let Ie=3*xe,ze=this.circleKeys[xe];if(this._circleAndRectCollide(ve[Ie],ve[Ie+1],ve[Ie+2],w,B,Q,ee)&&(!ut||ut(ze))&&(!Jt||!Ar($t,ze.overlapMode))){let Qe=ve[Ie],Xe=ve[Ie+1],nt=ve[Ie+2];if(Fe.push({key:ze,x1:Qe-nt,y1:Xe-nt,x2:Qe+nt,y2:Xe+nt}),Jt)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,le,Fe,Ze,ut){let{circle:Mt,seenUids:Jt,overlapMode:$t}=Ze,yr=this.boxCells[le];if(yr!==null){let ve=this.bboxes;for(let xe of yr)if(!Jt.box[xe]){Jt.box[xe]=!0;let Ie=4*xe,ze=this.boxKeys[xe];if(this._circleAndRectCollide(Mt.x,Mt.y,Mt.radius,ve[Ie+0],ve[Ie+1],ve[Ie+2],ve[Ie+3])&&(!ut||ut(ze))&&!Ar($t,ze.overlapMode))return Fe.push(!0),!0}}let Cr=this.circleCells[le];if(Cr!==null){let ve=this.circles;for(let xe of Cr)if(!Jt.circle[xe]){Jt.circle[xe]=!0;let Ie=3*xe,ze=this.circleKeys[xe];if(this._circlesCollide(ve[Ie],ve[Ie+1],ve[Ie+2],Mt.x,Mt.y,Mt.radius)&&(!ut||ut(ze))&&!Ar($t,ze.overlapMode))return Fe.push(!0),!0}}}_forEachCell(w,B,Q,ee,le,Fe,Ze,ut){let Mt=this._convertToXCellCoord(w),Jt=this._convertToYCellCoord(B),$t=this._convertToXCellCoord(Q),yr=this._convertToYCellCoord(ee);for(let Cr=Mt;Cr<=$t;Cr++)for(let ve=Jt;ve<=yr;ve++)if(le.call(this,w,B,Q,ee,this.xCellCount*ve+Cr,Fe,Ze,ut))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,le,Fe){let Ze=ee-w,ut=le-B,Mt=Q+Fe;return Mt*Mt>Ze*Ze+ut*ut}_circleAndRectCollide(w,B,Q,ee,le,Fe,Ze){let ut=(Fe-ee)/2,Mt=Math.abs(w-(ee+ut));if(Mt>ut+Q)return!1;let Jt=(Ze-le)/2,$t=Math.abs(B-(le+Jt));if($t>Jt+Q)return!1;if(Mt<=ut||$t<=Jt)return!0;let yr=Mt-ut,Cr=$t-Jt;return yr*yr+Cr*Cr<=Q*Q}}function qr(ue,w,B,Q,ee){let le=a.H();return w?(a.K(le,le,[1/ee,1/ee,1]),B||a.ad(le,le,Q.angle)):a.L(le,Q.labelPlaneMatrix,ue),le}function jr(ue,w,B,Q,ee){if(w){let le=a.ae(ue);return a.K(le,le,[ee,ee,1]),B||a.ad(le,le,-Q.angle),le}return Q.glCoordMatrix}function gt(ue,w,B,Q){let ee;Q?(ee=[ue,w,Q(ue,w),1],a.af(ee,ee,B)):(ee=[ue,w,0,1],ai(ee,ee,B));let le=ee[3];return{point:new a.P(ee[0]/le,ee[1]/le),signedDistanceFromCamera:le,isOccluded:!1}}function Ge(ue,w){return .5+ue/w*.5}function Je(ue,w){return ue.x>=-w[0]&&ue.x<=w[0]&&ue.y>=-w[1]&&ue.y<=w[1]}function We(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve){let xe=Q?ue.textSizeData:ue.iconSizeData,Ie=a.ag(xe,B.transform.zoom),ze=[256/B.width*2+1,256/B.height*2+1],Qe=Q?ue.text.dynamicLayoutVertexArray:ue.icon.dynamicLayoutVertexArray;Qe.clear();let Xe=ue.lineVertexArray,nt=Q?ue.text.placedSymbolArray:ue.icon.placedSymbolArray,qt=B.transform.width/B.transform.height,Wt=!1;for(let nr=0;nr<nt.length;nr++){let fr=nt.get(nr);if(fr.hidden||fr.writingMode===a.ah.vertical&&!Wt){Pi(fr.numGlyphs,Qe);continue}Wt=!1;let br=gt(fr.anchorX,fr.anchorY,w,ve);if(!Je(br.point,ze)){Pi(fr.numGlyphs,Qe);continue}let Fr=Ge(B.transform.cameraToCenterDistance,br.signedDistanceFromCamera),Hr=a.ai(xe,Ie,fr),ri=Fe?Hr/Fr:Hr*Fr,Ci={getElevation:ve,labelPlaneMatrix:ee,lineVertexArray:Xe,pitchWithMap:Fe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:Mt,tileAnchorPoint:new a.P(fr.anchorX,fr.anchorY),unwrappedTileID:Jt,width:$t,height:yr,translation:Cr},cn=At(Ci,fr,ri,!1,Ze,w,le,ue.glyphOffsetArray,Qe,qt,ut);Wt=cn.useVertical,(cn.notEnoughRoom||Wt||cn.needsFlipping&&At(Ci,fr,ri,!0,Ze,w,le,ue.glyphOffsetArray,Qe,qt,ut).notEnoughRoom)&&Pi(fr.numGlyphs,Qe)}Q?ue.text.dynamicLayoutVertexBuffer.updateData(Qe):ue.icon.dynamicLayoutVertexBuffer.updateData(Qe)}function et(ue,w,B,Q,ee,le,Fe,Ze){let ut=le.glyphStartIndex+le.numGlyphs,Mt=le.lineStartIndex,Jt=le.lineStartIndex+le.lineLength,$t=w.getoffsetX(le.glyphStartIndex),yr=w.getoffsetX(ut-1),Cr=Yr(ue*$t,B,Q,ee,le.segment,Mt,Jt,Ze,Fe);if(!Cr)return null;let ve=Yr(ue*yr,B,Q,ee,le.segment,Mt,Jt,Ze,Fe);return ve?Ze.projectionCache.anyProjectionOccluded?null:{first:Cr,last:ve}:null}function xt(ue,w,B,Q){return ue===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(ue===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function At(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){let $t=B/24,yr=w.lineOffsetX*$t,Cr=w.lineOffsetY*$t,ve;if(w.numGlyphs>1){let xe=w.glyphStartIndex+w.numGlyphs,Ie=w.lineStartIndex,ze=w.lineStartIndex+w.lineLength,Qe=et($t,Ze,yr,Cr,Q,w,Jt,ue);if(!Qe)return{notEnoughRoom:!0};let Xe=gt(Qe.first.point.x,Qe.first.point.y,Fe,ue.getElevation).point,nt=gt(Qe.last.point.x,Qe.last.point.y,Fe,ue.getElevation).point;if(ee&&!Q){let qt=xt(w.writingMode,Xe,nt,Mt);if(qt)return qt}ve=[Qe.first];for(let qt=w.glyphStartIndex+1;qt<xe-1;qt++)ve.push(Yr($t*Ze.getoffsetX(qt),yr,Cr,Q,w.segment,Ie,ze,ue,Jt));ve.push(Qe.last)}else{if(ee&&!Q){let Ie=gt(ue.tileAnchorPoint.x,ue.tileAnchorPoint.y,le,ue.getElevation).point,ze=w.lineStartIndex+w.segment+1,Qe=new a.P(ue.lineVertexArray.getx(ze),ue.lineVertexArray.gety(ze)),Xe=gt(Qe.x,Qe.y,le,ue.getElevation),nt=Xe.signedDistanceFromCamera>0?Xe.point:(function(Wt,nr,fr,br,Fr,Hr){return Kt(Wt,nr,fr,1,Fr,Hr)})(ue.tileAnchorPoint,Qe,Ie,0,le,ue),qt=xt(w.writingMode,Ie,nt,Mt);if(qt)return qt}let xe=Yr($t*Ze.getoffsetX(w.glyphStartIndex),yr,Cr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,ue,Jt);if(!xe||ue.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};ve=[xe]}for(let xe of ve)a.aj(ut,xe.point,xe.angle);return{}}function Kt(ue,w,B,Q,ee,le){let Fe=ue.add(ue.sub(w)._unit()),Ze=ee!==void 0?gt(Fe.x,Fe.y,ee,le.getElevation).point:Mr(Fe.x,Fe.y,le).point,ut=B.sub(Ze);return B.add(ut._mult(Q/ut.mag()))}function Qt(ue,w,B){let Q=w.projectionCache;if(Q.projections[ue])return Q.projections[ue];let ee=new a.P(w.lineVertexArray.getx(ue),w.lineVertexArray.gety(ue)),le=Mr(ee.x,ee.y,w);if(le.signedDistanceFromCamera>0)return Q.projections[ue]=le.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||le.isOccluded,le.point;let Fe=ue-B.direction;return(function(Ze,ut,Mt,Jt,$t){return Kt(Ze,ut,Mt,Jt,void 0,$t)})(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(Fe),w.lineVertexArray.gety(Fe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function Mr(ue,w,B){let Q=ue+B.translation[0],ee=w+B.translation[1],le;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(le=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),le.point.x=(.5*le.point.x+.5)*B.width,le.point.y=(.5*-le.point.y+.5)*B.height):(le=gt(Q,ee,B.labelPlaneMatrix,B.getElevation),le.isOccluded=!1),le}function Gr(ue,w,B){return ue._unit()._perp()._mult(w*B)}function Ir(ue,w,B,Q,ee,le,Fe,Ze,ut){if(Ze.projectionCache.offsets[ue])return Ze.projectionCache.offsets[ue];let Mt=B.add(w);if(ue+ut.direction<Q||ue+ut.direction>=ee)return Ze.projectionCache.offsets[ue]=Mt,Mt;let Jt=Qt(ue+ut.direction,Ze,ut),$t=Gr(Jt.sub(B),Fe,ut.direction),yr=B.add($t),Cr=Jt.add($t);return Ze.projectionCache.offsets[ue]=a.ak(le,Mt,yr,Cr)||Mt,Ze.projectionCache.offsets[ue]}function Yr(ue,w,B,Q,ee,le,Fe,Ze,ut){let Mt=Q?ue-w:ue+w,Jt=Mt>0?1:-1,$t=0;Q&&(Jt*=-1,$t=Math.PI),Jt<0&&($t+=Math.PI);let yr,Cr=Jt>0?le+ee:le+ee+1;Ze.projectionCache.cachedAnchorPoint?yr=Ze.projectionCache.cachedAnchorPoint:(yr=Mr(Ze.tileAnchorPoint.x,Ze.tileAnchorPoint.y,Ze).point,Ze.projectionCache.cachedAnchorPoint=yr);let ve,xe,Ie=yr,ze=yr,Qe=0,Xe=0,nt=Math.abs(Mt),qt=[],Wt;for(;Qe+Xe<=nt;){if(Cr+=Jt,Cr<le||Cr>=Fe)return null;Qe+=Xe,ze=Ie,xe=ve;let br={absOffsetX:nt,direction:Jt,distanceFromAnchor:Qe,previousVertex:ze};if(Ie=Qt(Cr,Ze,br),B===0)qt.push(ze),Wt=Ie.sub(ze);else{let Fr,Hr=Ie.sub(ze);Fr=Hr.mag()===0?Gr(Qt(Cr+Jt,Ze,br).sub(Ie),B,Jt):Gr(Hr,B,Jt),xe||(xe=ze.add(Fr)),ve=Ir(Cr,Fr,Ie,le,Fe,xe,B,Ze,br),qt.push(xe),Wt=ve.sub(xe)}Xe=Wt.mag()}let nr=Wt._mult((nt-Qe)/Xe)._add(xe||ze),fr=$t+Math.atan2(Ie.y-ze.y,Ie.x-ze.x);return qt.push(nr),{point:nr,angle:ut?fr:0,path:qt}}let _i=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Pi(ue,w){for(let B=0;B<ue;B++){let Q=w.length;w.resize(Q+4),w.float32.set(_i,3*Q)}}function ai(ue,w,B){let Q=w[0],ee=w[1];return ue[0]=B[0]*Q+B[4]*ee+B[12],ue[1]=B[1]*Q+B[5]*ee+B[13],ue[3]=B[3]*Q+B[7]*ee+B[15],ue}let mi=100;class un{constructor(w,B,Q=new ei(w.width+200,w.height+200,25),ee=new ei(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+mi,this.screenBottomBoundary=w.height+mi,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t){let yr=w.anchorPointX+ut[0],Cr=w.anchorPointY+ut[1],ve=this.projectAndGetPerspectiveRatio(ee,yr,Cr,le,Jt),xe=Q*ve.perspectiveRatio,Ie;if(Fe||Ze)Ie=this._projectCollisionBox(w,xe,ee,le,Fe,Ze,ut,ve,Jt,$t);else{let qt=ve.point.x+($t?$t.x*xe:0),Wt=ve.point.y+($t?$t.y*xe:0);Ie={allPointsOccluded:!1,box:[qt+w.x1*xe,Wt+w.y1*xe,qt+w.x2*xe,Wt+w.y2*xe]}}let[ze,Qe,Xe,nt]=Ie.box;return this.mapProjection.useSpecialProjectionForSymbols&&(Fe?Ie.allPointsOccluded:this.mapProjection.isOccluded(yr,Cr,le))||ve.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(ze,Qe,Xe,nt)||B!==\"always\"&&this.grid.hitTest(ze,Qe,Xe,nt,B,Mt)?{box:[ze,Qe,Xe,nt],placeable:!1,offscreen:!1}:{box:[ze,Qe,Xe,nt],placeable:!0,offscreen:this.isOffscreen(ze,Qe,Xe,nt)}}placeCollisionCircles(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie){let ze=[],Qe=new a.P(B.anchorX,B.anchorY),Xe=this.getPerspectiveRatio(Fe,Qe.x,Qe.y,Ze,Ie),nt=($t?le/Xe:le*Xe)/a.ap,qt={getElevation:Ie,labelPlaneMatrix:ut,lineVertexArray:Q,pitchWithMap:$t,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:Qe,unwrappedTileID:Ze,width:this.transform.width,height:this.transform.height,translation:xe},Wt=et(nt,ee,B.lineOffsetX*nt,B.lineOffsetY*nt,!1,B,!1,qt),nr=!1,fr=!1,br=!0;if(Wt){let Fr=.5*Cr*Xe+ve,Hr=new a.P(-100,-100),ri=new a.P(this.screenRightBoundary,this.screenBottomBoundary),Ci=new mr,cn=Wt.first,sn=Wt.last,Ln=[];for(let fa=cn.path.length-1;fa>=1;fa--)Ln.push(cn.path[fa]);for(let fa=1;fa<sn.path.length;fa++)Ln.push(sn.path[fa]);let Kn=2.5*Fr;if(Mt){let fa=this.projectPathToScreenSpace(Ln,qt,Mt);Ln=fa.some(($a=>$a.signedDistanceFromCamera<=0))?[]:fa.map(($a=>$a.point))}let Aa=[];if(Ln.length>0){let fa=Ln[0].clone(),$a=Ln[0].clone();for(let Co=1;Co<Ln.length;Co++)fa.x=Math.min(fa.x,Ln[Co].x),fa.y=Math.min(fa.y,Ln[Co].y),$a.x=Math.max($a.x,Ln[Co].x),$a.y=Math.max($a.y,Ln[Co].y);Aa=fa.x>=Hr.x&&$a.x<=ri.x&&fa.y>=Hr.y&&$a.y<=ri.y?[Ln]:$a.x<Hr.x||fa.x>ri.x||$a.y<Hr.y||fa.y>ri.y?[]:a.al([Ln],Hr.x,Hr.y,ri.x,ri.y)}for(let fa of Aa){Ci.reset(fa,.25*Fr);let $a=0;$a=Ci.length<=.5*Fr?1:Math.ceil(Ci.paddedLength/Kn)+1;for(let Co=0;Co<$a;Co++){let Qa=Co/Math.max($a-1,1),mo=Ci.lerp(Qa),Bo=mo.x+mi,Ps=mo.y+mi;ze.push(Bo,Ps,Fr,0);let Ts=Bo-Fr,wo=Ps-Fr,To=Bo+Fr,hl=Ps+Fr;if(br=br&&this.isOffscreen(Ts,wo,To,hl),fr=fr||this.isInsideGrid(Ts,wo,To,hl),w!==\"always\"&&this.grid.hitTestCircle(Bo,Ps,Fr,w,yr)&&(nr=!0,!Jt))return{circles:[],offscreen:!1,collisionDetected:nr}}}}return{circles:!Jt&&nr||!fr||Xe<this.perspectiveRatioCutoff?[]:ze,offscreen:br,collisionDetected:nr}}projectPathToScreenSpace(w,B,Q){return w.map((ee=>gt(ee.x,ee.y,Q,B.getElevation)))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,le=-1/0,Fe=-1/0;for(let Jt of w){let $t=new a.P(Jt.x+mi,Jt.y+mi);Q=Math.min(Q,$t.x),ee=Math.min(ee,$t.y),le=Math.max(le,$t.x),Fe=Math.max(Fe,$t.y),B.push($t)}let Ze=this.grid.query(Q,ee,le,Fe).concat(this.ignoredGrid.query(Q,ee,le,Fe)),ut={},Mt={};for(let Jt of Ze){let $t=Jt.key;if(ut[$t.bucketInstanceId]===void 0&&(ut[$t.bucketInstanceId]={}),ut[$t.bucketInstanceId][$t.featureIndex])continue;let yr=[new a.P(Jt.x1,Jt.y1),new a.P(Jt.x2,Jt.y1),new a.P(Jt.x2,Jt.y2),new a.P(Jt.x1,Jt.y2)];a.am(B,yr)&&(ut[$t.bucketInstanceId][$t.featureIndex]=!0,Mt[$t.bucketInstanceId]===void 0&&(Mt[$t.bucketInstanceId]=[]),Mt[$t.bucketInstanceId].push($t.featureIndex))}return Mt}insertCollisionBox(w,B,Q,ee,le,Fe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:le,collisionGroupID:Fe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,le,Fe){let Ze=Q?this.ignoredGrid:this.grid,ut={bucketInstanceId:ee,featureIndex:le,collisionGroupID:Fe,overlapMode:B};for(let Mt=0;Mt<w.length;Mt+=4)Ze.insertCircle(ut,w[Mt],w[Mt+1],w[Mt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,le){let Fe;le?(Fe=[B,Q,le(B,Q),1],a.af(Fe,Fe,w)):(Fe=[B,Q,0,1],ai(Fe,Fe,w));let Ze=Fe[3];return{point:new a.P((Fe[0]/Ze+1)/2*this.transform.width+mi,(-Fe[1]/Ze+1)/2*this.transform.height+mi),perspectiveRatio:.5+this.transform.cameraToCenterDistance/Ze*.5,isOccluded:!1,signedDistanceFromCamera:Ze}}getPerspectiveRatio(w,B,Q,ee,le){let Fe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,le):gt(B,Q,w,le);return .5+this.transform.cameraToCenterDistance/Fe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<mi||w>=this.screenRightBoundary||ee<mi||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){let $t=new a.P(1,0),yr=new a.P(0,1),Cr=new a.P(w.anchorPointX+Ze[0],w.anchorPointY+Ze[1]);if(Fe&&!le){let br=this.projectAndGetPerspectiveRatio(Q,Cr.x+1,Cr.y,ee,Mt).point.sub(ut.point).unit(),Fr=Math.atan(br.y/br.x)+(br.x<0?Math.PI:0),Hr=Math.sin(Fr),ri=Math.cos(Fr);$t=new a.P(ri,Hr),yr=new a.P(-Hr,ri)}else if(!Fe&&le){let br=-this.transform.angle,Fr=Math.sin(br),Hr=Math.cos(br);$t=new a.P(Hr,Fr),yr=new a.P(-Fr,Hr)}let ve=ut.point,xe=B;if(le){ve=Cr;let br=this.transform.zoom-Math.floor(this.transform.zoom);xe=Math.pow(2,-br),xe*=this.mapProjection.getPitchedTextCorrection(this.transform,Cr,ee),Jt||(xe*=a.ac(.5+ut.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Jt&&(ve=ve.add($t.mult(Jt.x*xe)).add(yr.mult(Jt.y*xe)));let Ie=w.x1*xe,ze=w.x2*xe,Qe=(Ie+ze)/2,Xe=w.y1*xe,nt=w.y2*xe,qt=(Xe+nt)/2,Wt=[{offsetX:Ie,offsetY:Xe},{offsetX:Qe,offsetY:Xe},{offsetX:ze,offsetY:Xe},{offsetX:ze,offsetY:qt},{offsetX:ze,offsetY:nt},{offsetX:Qe,offsetY:nt},{offsetX:Ie,offsetY:nt},{offsetX:Ie,offsetY:qt}],nr=[];for(let{offsetX:br,offsetY:Fr}of Wt)nr.push(new a.P(ve.x+$t.x*br+yr.x*Fr,ve.y+$t.y*br+yr.y*Fr));let fr=!1;if(le){let br=nr.map((Fr=>this.projectAndGetPerspectiveRatio(Q,Fr.x,Fr.y,ee,Mt)));fr=br.some((Fr=>!Fr.isOccluded)),nr=br.map((Fr=>Fr.point))}else fr=!0;return{box:a.ao(nr),allPointsOccluded:!fr}}}function Fn(ue,w,B){return w*(a.X/(ue.tileSize*Math.pow(2,B-ue.tileID.overscaledZ)))}class An{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class Hn{constructor(w,B,Q,ee,le){this.text=new An(w?w.text:null,B,Q,le),this.icon=new An(w?w.icon:null,B,ee,le)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Qn{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class Vi{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class Jn{constructor(w,B,Q,ee,le){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=le}}class Yn{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function Gt(ue,w,B,Q,ee){let{horizontalAlign:le,verticalAlign:Fe}=a.au(ue);return new a.P(-(le-.5)*w+Q[0]*ee,-(Fe-.5)*B+Q[1]*ee)}class wt{constructor(w,B,Q,ee,le,Fe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new un(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new Yn(le),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=Fe,Fe&&(Fe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let le=Q.getBucket(B),Fe=Q.latestFeatureIndex;if(!le||!Fe||B.id!==le.layerIds[0])return;let Ze=Q.collisionBoxArray,ut=le.layers[0].layout,Mt=le.layers[0].paint,Jt=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),$t=Q.tileSize/a.X,yr=Q.tileID.toUnwrapped(),Cr=this.transform.calculatePosMatrix(yr),ve=ut.get(\"text-pitch-alignment\")===\"map\",xe=ut.get(\"text-rotation-alignment\")===\"map\",Ie=Fn(Q,1,this.transform.zoom),ze=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Mt.get(\"text-translate\"),Mt.get(\"text-translate-anchor\")),Qe=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Mt.get(\"icon-translate\"),Mt.get(\"icon-translate-anchor\")),Xe=qr(Cr,ve,xe,this.transform,Ie),nt=null;if(ve){let Wt=jr(Cr,ve,xe,this.transform,Ie);nt=a.L([],this.transform.labelPlaneMatrix,Wt)}this.retainedQueryData[le.bucketInstanceId]=new Jn(le.bucketInstanceId,Fe,le.sourceLayerIndex,le.index,Q.tileID);let qt={bucket:le,layout:ut,translationText:ze,translationIcon:Qe,posMatrix:Cr,unwrappedTileID:yr,textLabelPlaneMatrix:Xe,labelToScreenMatrix:nt,scale:Jt,textPixelRatio:$t,holdingForFade:Q.holdingForFade(),collisionBoxArray:Ze,partiallyEvaluatedTextSize:a.ag(le.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(le.sourceID)};if(ee)for(let Wt of le.sortKeyRanges){let{sortKey:nr,symbolInstanceStart:fr,symbolInstanceEnd:br}=Wt;w.push({sortKey:nr,symbolInstanceStart:fr,symbolInstanceEnd:br,parameters:qt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:le.symbolInstances.length,parameters:qt})}attemptAnchorPlacement(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie,ze,Qe,Xe){let nt=a.aq[w.textAnchor],qt=[w.textOffset0,w.textOffset1],Wt=Gt(nt,Q,ee,qt,le),nr=this.collisionIndex.placeCollisionBox(B,yr,ut,Mt,Jt,Ze,Fe,Ie,$t.predicate,Xe,Wt);if((!Qe||this.collisionIndex.placeCollisionBox(Qe,yr,ut,Mt,Jt,Ze,Fe,ze,$t.predicate,Xe,Wt).placeable)&&nr.placeable){let fr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Cr.crossTileID]&&this.prevPlacement.placements[Cr.crossTileID]&&this.prevPlacement.placements[Cr.crossTileID].text&&(fr=this.prevPlacement.variableOffsets[Cr.crossTileID].anchor),Cr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Cr.crossTileID]={textOffset:qt,width:Q,height:ee,anchor:nt,textBoxScale:le,prevAnchor:fr},this.markUsedJustification(ve,nt,Cr,xe),ve.allowVerticalPlacement&&(this.markUsedOrientation(ve,xe,Cr),this.placedOrientations[Cr.crossTileID]=xe),{shift:Wt,placedGlyphBoxes:nr}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:le,translationText:Fe,translationIcon:Ze,posMatrix:ut,unwrappedTileID:Mt,textLabelPlaneMatrix:Jt,labelToScreenMatrix:$t,textPixelRatio:yr,holdingForFade:Cr,collisionBoxArray:ve,partiallyEvaluatedTextSize:xe,collisionGroup:Ie}=w.parameters,ze=le.get(\"text-optional\"),Qe=le.get(\"icon-optional\"),Xe=a.ar(le,\"text-overlap\",\"text-allow-overlap\"),nt=Xe===\"always\",qt=a.ar(le,\"icon-overlap\",\"icon-allow-overlap\"),Wt=qt===\"always\",nr=le.get(\"text-rotation-alignment\")===\"map\",fr=le.get(\"text-pitch-alignment\")===\"map\",br=le.get(\"icon-text-fit\")!==\"none\",Fr=le.get(\"symbol-z-order\")===\"viewport-y\",Hr=nt&&(Wt||!ee.hasIconData()||Qe),ri=Wt&&(nt||!ee.hasTextData()||ze);!ee.collisionArrays&&ve&&ee.deserializeCollisionBoxes(ve);let Ci=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),cn=(sn,Ln,Kn)=>{var Aa,fa;if(B[sn.crossTileID])return;if(Cr)return void(this.placements[sn.crossTileID]=new Qn(!1,!1,!1));let $a=!1,Co=!1,Qa=!0,mo=null,Bo={box:null,placeable:!1,offscreen:null},Ps={box:null,placeable:!1,offscreen:null},Ts=null,wo=null,To=null,hl=0,Nl=0,Lu=0;Ln.textFeatureIndex?hl=Ln.textFeatureIndex:sn.useRuntimeCollisionCircles&&(hl=sn.featureIndex),Ln.verticalTextFeatureIndex&&(Nl=Ln.verticalTextFeatureIndex);let au=Ln.textBox;if(au){let Al=Te=>{let qe=a.ah.horizontal;if(ee.allowVerticalPlacement&&!Te&&this.prevPlacement){let Ve=this.prevPlacement.placedOrientations[sn.crossTileID];Ve&&(this.placedOrientations[sn.crossTileID]=Ve,qe=Ve,this.markUsedOrientation(ee,qe,sn))}return qe},Sl=(Te,qe)=>{if(ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&Ln.verticalTextBox){for(let Ve of ee.writingModes)if(Ve===a.ah.vertical?(Bo=qe(),Ps=Bo):Bo=Te(),Bo&&Bo.placeable)break}else Bo=Te()},X=sn.textAnchorOffsetStartIndex,se=sn.textAnchorOffsetEndIndex;if(se===X){let Te=(qe,Ve)=>{let Ye=this.collisionIndex.placeCollisionBox(qe,Xe,yr,ut,Mt,fr,nr,Fe,Ie.predicate,Ci);return Ye&&Ye.placeable&&(this.markUsedOrientation(ee,Ve,sn),this.placedOrientations[sn.crossTileID]=Ve),Ye};Sl((()=>Te(au,a.ah.horizontal)),(()=>{let qe=Ln.verticalTextBox;return ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&qe?Te(qe,a.ah.vertical):{box:null,offscreen:null}})),Al(Bo&&Bo.placeable)}else{let Te=a.aq[(fa=(Aa=this.prevPlacement)===null||Aa===void 0?void 0:Aa.variableOffsets[sn.crossTileID])===null||fa===void 0?void 0:fa.anchor],qe=(Ye,Pt,ot)=>{let Xt=Ye.x2-Ye.x1,dr=Ye.y2-Ye.y1,pr=sn.textBoxScale,Ur=br&&qt===\"never\"?Pt:null,zr=null,gi=Xe===\"never\"?1:2,xi=\"never\";Te&&gi++;for(let Wr=0;Wr<gi;Wr++){for(let ii=X;ii<se;ii++){let di=ee.textAnchorOffsets.get(ii);if(Te&&di.textAnchor!==Te)continue;let Li=this.attemptAnchorPlacement(di,Ye,Xt,dr,pr,nr,fr,yr,ut,Mt,Ie,xi,sn,ee,ot,Fe,Ze,Ur,Ci);if(Li&&(zr=Li.placedGlyphBoxes,zr&&zr.placeable))return $a=!0,mo=Li.shift,zr}Te?Te=null:xi=Xe}return Q&&!zr&&(zr={box:this.collisionIndex.placeCollisionBox(au,\"always\",yr,ut,Mt,fr,nr,Fe,Ie.predicate,Ci,new a.P(0,0)).box,offscreen:!1,placeable:!1}),zr};Sl((()=>qe(au,Ln.iconBox,a.ah.horizontal)),(()=>{let Ye=Ln.verticalTextBox;return ee.allowVerticalPlacement&&(!Bo||!Bo.placeable)&&sn.numVerticalGlyphVertices>0&&Ye?qe(Ye,Ln.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}})),Bo&&($a=Bo.placeable,Qa=Bo.offscreen);let Ve=Al(Bo&&Bo.placeable);if(!$a&&this.prevPlacement){let Ye=this.prevPlacement.variableOffsets[sn.crossTileID];Ye&&(this.variableOffsets[sn.crossTileID]=Ye,this.markUsedJustification(ee,Ye.anchor,sn,Ve))}}}if(Ts=Bo,$a=Ts&&Ts.placeable,Qa=Ts&&Ts.offscreen,sn.useRuntimeCollisionCircles){let Al=ee.text.placedSymbolArray.get(sn.centerJustifiedTextSymbolIndex),Sl=a.ai(ee.textSizeData,xe,Al),X=le.get(\"text-padding\");wo=this.collisionIndex.placeCollisionCircles(Xe,Al,ee.lineVertexArray,ee.glyphOffsetArray,Sl,ut,Mt,Jt,$t,Q,fr,Ie.predicate,sn.collisionCircleDiameter,X,Fe,Ci),wo.circles.length&&wo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),$a=nt||wo.circles.length>0&&!wo.collisionDetected,Qa=Qa&&wo.offscreen}if(Ln.iconFeatureIndex&&(Lu=Ln.iconFeatureIndex),Ln.iconBox){let Al=Sl=>this.collisionIndex.placeCollisionBox(Sl,qt,yr,ut,Mt,fr,nr,Ze,Ie.predicate,Ci,br&&mo?mo:void 0);Ps&&Ps.placeable&&Ln.verticalIconBox?(To=Al(Ln.verticalIconBox),Co=To.placeable):(To=Al(Ln.iconBox),Co=To.placeable),Qa=Qa&&To.offscreen}let Js=ze||sn.numHorizontalGlyphVertices===0&&sn.numVerticalGlyphVertices===0,eu=Qe||sn.numIconVertices===0;Js||eu?eu?Js||(Co=Co&&$a):$a=Co&&$a:Co=$a=Co&&$a;let dc=Co&&To.placeable;if($a&&Ts.placeable&&this.collisionIndex.insertCollisionBox(Ts.box,Xe,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ps&&Ps.placeable&&Nl?Nl:hl,Ie.ID),dc&&this.collisionIndex.insertCollisionBox(To.box,qt,le.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Lu,Ie.ID),wo&&$a&&this.collisionIndex.insertCollisionCircles(wo.circles,Xe,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,hl,Ie.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Kn,Ln,Ts,To,wo),sn.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[sn.crossTileID]=new Qn($a||Hr,Co||ri,Qa||ee.justReloaded),B[sn.crossTileID]=!0};if(Fr){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let sn=ee.getSortedSymbolIndexes(this.transform.angle);for(let Ln=sn.length-1;Ln>=0;--Ln){let Kn=sn[Ln];cn(ee.symbolInstances.get(Kn),ee.collisionArrays[Kn],Kn)}}else for(let sn=w.symbolInstanceStart;sn<w.symbolInstanceEnd;sn++)cn(ee.symbolInstances.get(sn),ee.collisionArrays[sn],sn);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let sn=this.collisionCircleArrays[ee.bucketInstanceId];a.as(sn.invProjMatrix,ut),sn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,le,Fe){if(Q.textBox||Q.iconBox){let Ze,ut;this.collisionBoxArrays.has(w)?Ze=this.collisionBoxArrays.get(w):(Ze=new Map,this.collisionBoxArrays.set(w,Ze)),Ze.has(B)?ut=Ze.get(B):(ut={text:null,icon:null},Ze.set(B,ut)),Q.textBox&&(ut.text=ee.box),Q.iconBox&&(ut.icon=le.box)}if(Fe){let Ze=this.collisionCircleArrays[w];Ze===void 0&&(Ze=this.collisionCircleArrays[w]=new Vi);for(let ut=0;ut<Fe.circles.length;ut+=4)Ze.circles.push(Fe.circles[ut+0]),Ze.circles.push(Fe.circles[ut+1]),Ze.circles.push(Fe.circles[ut+2]),Ze.circles.push(Fe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let le;le=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let Fe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let Ze of Fe)Ze>=0&&(w.text.placedSymbolArray.get(Ze).crossTileID=le>=0&&Ze!==le?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,le=B===a.ah.vertical?B:0,Fe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let Ze of Fe)w.text.placedSymbolArray.get(Ze).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=le)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,le=B?B.opacities:{},Fe=B?B.variableOffsets:{},Ze=B?B.placedOrientations:{};for(let ut in this.placements){let Mt=this.placements[ut],Jt=le[ut];Jt?(this.opacities[ut]=new Hn(Jt,ee,Mt.text,Mt.icon),Q=Q||Mt.text!==Jt.text.placed||Mt.icon!==Jt.icon.placed):(this.opacities[ut]=new Hn(null,ee,Mt.text,Mt.icon,Mt.skipFade),Q=Q||Mt.text||Mt.icon)}for(let ut in le){let Mt=le[ut];if(!this.opacities[ut]){let Jt=new Hn(Mt,ee,!1,!1);Jt.isHidden()||(this.opacities[ut]=Jt,Q=Q||Mt.text.placed||Mt.icon.placed)}}for(let ut in Fe)this.variableOffsets[ut]||!this.opacities[ut]||this.opacities[ut].isHidden()||(this.variableOffsets[ut]=Fe[ut]);for(let ut in Ze)this.placedOrientations[ut]||!this.opacities[ut]||this.opacities[ut].isHidden()||(this.placedOrientations[ut]=Ze[ut]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let le=ee.getBucket(w);le&&ee.latestFeatureIndex&&w.id===le.layerIds[0]&&this.updateBucketOpacities(le,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let le=w.layers[0],Fe=le.layout,Ze=new Hn(null,0,!1,!1,!0),ut=Fe.get(\"text-allow-overlap\"),Mt=Fe.get(\"icon-allow-overlap\"),Jt=le._unevaluatedLayout.hasValue(\"text-variable-anchor\")||le._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),$t=Fe.get(\"text-rotation-alignment\")===\"map\",yr=Fe.get(\"text-pitch-alignment\")===\"map\",Cr=Fe.get(\"icon-text-fit\")!==\"none\",ve=new Hn(null,0,ut&&(Mt||!w.hasIconData()||Fe.get(\"icon-optional\")),Mt&&(ut||!w.hasTextData()||Fe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let xe=(ze,Qe,Xe)=>{for(let nt=0;nt<Qe/4;nt++)ze.opacityVertexArray.emplaceBack(Xe);ze.hasVisibleVertices=ze.hasVisibleVertices||Xe!==fn},Ie=this.collisionBoxArrays.get(w.bucketInstanceId);for(let ze=0;ze<w.symbolInstances.length;ze++){let Qe=w.symbolInstances.get(ze),{numHorizontalGlyphVertices:Xe,numVerticalGlyphVertices:nt,crossTileID:qt}=Qe,Wt=this.opacities[qt];Q[qt]?Wt=Ze:Wt||(Wt=ve,this.opacities[qt]=Wt),Q[qt]=!0;let nr=Qe.numIconVertices>0,fr=this.placedOrientations[Qe.crossTileID],br=fr===a.ah.vertical,Fr=fr===a.ah.horizontal||fr===a.ah.horizontalOnly;if(Xe>0||nt>0){let ri=en(Wt.text);xe(w.text,Xe,br?fn:ri),xe(w.text,nt,Fr?fn:ri);let Ci=Wt.text.isHidden();[Qe.rightJustifiedTextSymbolIndex,Qe.centerJustifiedTextSymbolIndex,Qe.leftJustifiedTextSymbolIndex].forEach((Ln=>{Ln>=0&&(w.text.placedSymbolArray.get(Ln).hidden=Ci||br?1:0)})),Qe.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(Qe.verticalPlacedTextSymbolIndex).hidden=Ci||Fr?1:0);let cn=this.variableOffsets[Qe.crossTileID];cn&&this.markUsedJustification(w,cn.anchor,Qe,fr);let sn=this.placedOrientations[Qe.crossTileID];sn&&(this.markUsedJustification(w,\"left\",Qe,sn),this.markUsedOrientation(w,sn,Qe))}if(nr){let ri=en(Wt.icon),Ci=!(Cr&&Qe.verticalPlacedIconSymbolIndex&&br);Qe.placedIconSymbolIndex>=0&&(xe(w.icon,Qe.numIconVertices,Ci?ri:fn),w.icon.placedSymbolArray.get(Qe.placedIconSymbolIndex).hidden=Wt.icon.isHidden()),Qe.verticalPlacedIconSymbolIndex>=0&&(xe(w.icon,Qe.numVerticalIconVertices,Ci?fn:ri),w.icon.placedSymbolArray.get(Qe.verticalPlacedIconSymbolIndex).hidden=Wt.icon.isHidden())}let Hr=Ie&&Ie.has(ze)?Ie.get(ze):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let ri=w.collisionArrays[ze];if(ri){let Ci=new a.P(0,0);if(ri.textBox||ri.verticalTextBox){let cn=!0;if(Jt){let sn=this.variableOffsets[qt];sn?(Ci=Gt(sn.anchor,sn.width,sn.height,sn.textOffset,sn.textBoxScale),$t&&Ci._rotate(yr?this.transform.angle:-this.transform.angle)):cn=!1}if(ri.textBox||ri.verticalTextBox){let sn;ri.textBox&&(sn=br),ri.verticalTextBox&&(sn=Fr),tr(w.textCollisionBox.collisionVertexArray,Wt.text.placed,!cn||sn,Hr.text,Ci.x,Ci.y)}}if(ri.iconBox||ri.verticalIconBox){let cn=!!(!Fr&&ri.verticalIconBox),sn;ri.iconBox&&(sn=cn),ri.verticalIconBox&&(sn=!cn),tr(w.iconCollisionBox.collisionVertexArray,Wt.icon.placed,sn,Hr.icon,Cr?Ci.x:0,Cr?Ci.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let ze=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=ze.invProjMatrix,w.placementViewportMatrix=ze.viewportMatrix,w.collisionCircleArray=ze.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function tr(ue,w,B,Q,ee,le){Q&&Q.length!==0||(Q=[0,0,0,0]);let Fe=Q[0]-mi,Ze=Q[1]-mi,ut=Q[2]-mi,Mt=Q[3]-mi;ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,Fe,Ze),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ut,Ze),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ut,Mt),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,Fe,Mt)}let ir=Math.pow(2,25),wr=Math.pow(2,24),Xr=Math.pow(2,17),ti=Math.pow(2,16),$r=Math.pow(2,9),Ri=Math.pow(2,8),Hi=Math.pow(2,1);function en(ue){if(ue.opacity===0&&!ue.placed)return 0;if(ue.opacity===1&&ue.placed)return 4294967295;let w=ue.placed?1:0,B=Math.floor(127*ue.opacity);return B*ir+w*wr+B*Xr+w*ti+B*$r+w*Ri+B*Hi+w}let fn=0;function yn(){return{isOccluded:(ue,w,B)=>!1,getPitchedTextCorrection:(ue,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(ue,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(ue,w,B,Q)=>(function(ee,le,Fe,Ze,ut=!1){if(!Fe[0]&&!Fe[1])return[0,0];let Mt=ut?Ze===\"map\"?ee.angle:0:Ze===\"viewport\"?-ee.angle:0;if(Mt){let Jt=Math.sin(Mt),$t=Math.cos(Mt);Fe=[Fe[0]*$t-Fe[1]*Jt,Fe[0]*Jt+Fe[1]*$t]}return[ut?Fe[0]:Fn(le,Fe[0],ee.zoom),ut?Fe[1]:Fn(le,Fe[1],ee.zoom)]})(ue,w,B,Q),getCircleRadiusCorrection:ue=>1}}class Mn{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,le){let Fe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(Fe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,le())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,Fe.sort(((Ze,ut)=>Ze.sortKey-ut.sortKey)));this._currentPartIndex<Fe.length;)if(B.placeLayerBucketPart(Fe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,le())return!0;return!1}}class Ba{constructor(w,B,Q,ee,le,Fe,Ze,ut){this.placement=new wt(w,yn(),B,Fe,Ze,ut),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=le,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),le=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let Fe=B[w[this._currentPlacementIndex]],Ze=this.placement.collisionIndex.transform.zoom;if(Fe.type===\"symbol\"&&(!Fe.minzoom||Fe.minzoom<=Ze)&&(!Fe.maxzoom||Fe.maxzoom>Ze)){if(this._inProgressLayer||(this._inProgressLayer=new Mn(Fe)),this._inProgressLayer.continuePlacement(Q[Fe.source],this.placement,this._showCollisionBoxes,Fe,le))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let ua=512/a.X/2;class ma{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let le=0;le<B.length;le++){let Fe=B.get(le),Ze=Fe.key,ut=ee.get(Ze);ut?ut.push(Fe):ee.set(Ze,[Fe])}for(let[le,Fe]of ee){let Ze={positions:Fe.map((ut=>({x:Math.floor(ut.anchorX*ua),y:Math.floor(ut.anchorY*ua)}))),crossTileIDs:Fe.map((ut=>ut.crossTileID))};if(Ze.positions.length>128){let ut=new a.av(Ze.positions.length,16,Uint16Array);for(let{x:Mt,y:Jt}of Ze.positions)ut.add(Mt,Jt);ut.finish(),delete Ze.positions,Ze.index=ut}this._symbolsByKey[le]=Ze}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:le}=this.tileID.canonical,{x:Fe,y:Ze,z:ut}=B.canonical,Mt=ua/Math.pow(2,ut-le),Jt=(Ze*a.X+w.anchorY)*Mt,$t=ee*a.X*ua;return{x:Math.floor((Fe*a.X+w.anchorX)*Mt-Q*a.X*ua),y:Math.floor(Jt-$t)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let le=0;le<w.length;le++){let Fe=w.get(le);if(Fe.crossTileID)continue;let Ze=this._symbolsByKey[Fe.key];if(!Ze)continue;let ut=this.getScaledCoordinates(Fe,B);if(Ze.index){let Mt=Ze.index.range(ut.x-ee,ut.y-ee,ut.x+ee,ut.y+ee).sort();for(let Jt of Mt){let $t=Ze.crossTileIDs[Jt];if(!Q[$t]){Q[$t]=!0,Fe.crossTileID=$t;break}}}else if(Ze.positions)for(let Mt=0;Mt<Ze.positions.length;Mt++){let Jt=Ze.positions[Mt],$t=Ze.crossTileIDs[Mt];if(Math.abs(Jt.x-ut.x)<=ee&&Math.abs(Jt.y-ut.y)<=ee&&!Q[$t]){Q[$t]=!0,Fe.crossTileID=$t;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:w})=>w))}}class Wa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class za{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],le={};for(let Fe in ee){let Ze=ee[Fe];Ze.tileID=Ze.tileID.unwrapTo(Ze.tileID.wrap+B),le[Ze.tileID.key]=Ze}this.indexes[Q]=le}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let le=0;le<B.symbolInstances.length;le++)B.symbolInstances.get(le).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let le in this.indexes){let Fe=this.indexes[le];if(Number(le)>w.overscaledZ)for(let Ze in Fe){let ut=Fe[Ze];ut.tileID.isChildOf(w)&&ut.findMatches(B.symbolInstances,w,ee)}else{let Ze=Fe[w.scaledTo(Number(le)).key];Ze&&Ze.findMatches(B.symbolInstances,w,ee)}}for(let le=0;le<B.symbolInstances.length;le++){let Fe=B.symbolInstances.get(le);Fe.crossTileID||(Fe.crossTileID=Q.generate(),ee[Fe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new ma(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let le in ee)w[ee[le].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[le]),delete ee[le],B=!0)}return B}}class Xo{constructor(){this.layerIndexes={},this.crossTileIDs=new Wa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new za);let le=!1,Fe={};ee.handleWrapJump(Q);for(let Ze of B){let ut=Ze.getBucket(w);ut&&w.id===ut.layerIds[0]&&(ut.bucketInstanceId||(ut.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(Ze.tileID,ut,this.crossTileIDs)&&(le=!0),Fe[ut.bucketInstanceId]=!0)}return ee.removeStaleBuckets(Fe)&&(le=!0),le}pruneUnusedLayers(w){let B={};w.forEach((Q=>{B[Q]=!0}));for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let da=(ue,w)=>a.t(ue,w&&w.filter((B=>B.identifier!==\"source.canvas\"))),jn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new ke(Se(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((Q,ee)=>this.getGlyphs(Q,ee))),this.dispatcher.registerMessageHandler(\"GI\",((Q,ee)=>this.getImages(Q,ee))),this.imageManager=new E,this.imageManager.setEventedParent(this),this.glyphManager=new G(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new ae(256,512),this.crossTileSymbolIndex=new Xo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),St().on(Ue,this._rtlPluginLoaded),this.on(\"data\",(Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let le=ee.getSource();if(le&&le.vectorLayerIds)for(let Fe in this._layers){let Ze=this._layers[Fe];Ze.source===le.id&&this._validateLayer(Ze)}}))}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let le=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then((Fe=>{this._loadStyleRequest=null,this._load(Fe.data,B,Q)})).catch((Fe=>{this._loadStyleRequest=null,Fe&&!le.signal.aborted&&this.fire(new a.j(Fe))}))}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)})).catch((()=>{}))}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(jn,{validate:!1})}_load(w,B,Q){var ee;let le=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!da(this,a.u(le))){this._loaded=!0,this.stylesheet=le;for(let Fe in le.sources)this.addSource(Fe,le.sources[Fe],{validate:!1});le.sprite?this._loadSprite(le.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(le.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map((B=>B.id)),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,(function(le,Fe,Ze,ut){return a._(this,void 0,void 0,(function*(){let Mt=C(le),Jt=Ze>1?\"@2x\":\"\",$t={},yr={};for(let{id:Cr,url:ve}of Mt){let xe=Fe.transformRequest(S(ve,Jt,\".json\"),\"SpriteJSON\");$t[Cr]=a.h(xe,ut);let Ie=Fe.transformRequest(S(ve,Jt,\".png\"),\"SpriteImage\");yr[Cr]=p.getImage(Ie,ut)}return yield Promise.all([...Object.values($t),...Object.values(yr)]),(function(Cr,ve){return a._(this,void 0,void 0,(function*(){let xe={};for(let Ie in Cr){xe[Ie]={};let ze=u.getImageCanvasContext((yield ve[Ie]).data),Qe=(yield Cr[Ie]).data;for(let Xe in Qe){let{width:nt,height:qt,x:Wt,y:nr,sdf:fr,pixelRatio:br,stretchX:Fr,stretchY:Hr,content:ri,textFitWidth:Ci,textFitHeight:cn}=Qe[Xe];xe[Ie][Xe]={data:null,pixelRatio:br,sdf:fr,stretchX:Fr,stretchY:Hr,content:ri,textFitWidth:Ci,textFitHeight:cn,spriteData:{width:nt,height:qt,x:Wt,y:nr,context:ze}}}}return xe}))})($t,yr)}))})(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((le=>{if(this._spriteRequest=null,le)for(let Fe in le){this._spritesImagesIds[Fe]=[];let Ze=this._spritesImagesIds[Fe]?this._spritesImagesIds[Fe].filter((ut=>!(ut in le))):[];for(let ut of Ze)this.imageManager.removeImage(ut),this._changedImages[ut]=!0;for(let ut in le[Fe]){let Mt=Fe===\"default\"?ut:`${Fe}:${ut}`;this._spritesImagesIds[Fe].push(Mt),Mt in this.imageManager.images?this.imageManager.updateImage(Mt,le[Fe][ut],!1):this.imageManager.addImage(Mt,le[Fe][ut]),B&&(this._changedImages[Mt]=!0)}}})).catch((le=>{this._spriteRequest=null,ee=le,this.fire(new a.j(ee))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)}))}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let le of w)if(Q[le]){let Fe=B?a.aB(Q[le]):Q[le];ee.push(Fe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),le=Object.keys(this._removedLayers);(ee.length||le.length)&&this._updateWorkerLayers(ee,le);for(let Fe in this._updatedSources){let Ze=this._updatedSources[Fe];if(Ze===\"reload\")this._reloadSource(Fe);else{if(Ze!==\"clear\")throw new Error(`Invalid action ${Ze}`);this._clearSource(Fe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let Fe in this._updatedPaintProps)this._layers[Fe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let le=this.sourceCaches[ee];Q[ee]=le.used,le.used=!1}for(let ee of this._order){let le=this._layers[ee];le.recalculate(w,this._availableImages),!le.isHidden(w.zoom)&&le.source&&(this.sourceCaches[le.source].used=!0)}for(let ee in Q){let le=this.sourceCaches[ee];!!Q[ee]!=!!le.used&&le.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&da(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let le=a.aC(ee,w),Fe=this._getOperationsToPerform(le);if(Fe.unimplemented.length>0)throw new Error(`Unimplemented: ${Fe.unimplemented.join(\", \")}.`);if(Fe.operations.length===0)return!1;for(let Ze of Fe.operations)Ze();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push((()=>this.addLayer.apply(this,ee.args)));break;case\"removeLayer\":B.push((()=>this.removeLayer.apply(this,ee.args)));break;case\"setPaintProperty\":B.push((()=>this.setPaintProperty.apply(this,ee.args)));break;case\"setLayoutProperty\":B.push((()=>this.setLayoutProperty.apply(this,ee.args)));break;case\"setFilter\":B.push((()=>this.setFilter.apply(this,ee.args)));break;case\"addSource\":B.push((()=>this.addSource.apply(this,ee.args)));break;case\"removeSource\":B.push((()=>this.removeSource.apply(this,ee.args)));break;case\"setLayerZoomRange\":B.push((()=>this.setLayerZoomRange.apply(this,ee.args)));break;case\"setLight\":B.push((()=>this.setLight.apply(this,ee.args)));break;case\"setGeoJSONSourceData\":B.push((()=>this.setGeoJSONSourceData.apply(this,ee.args)));break;case\"setGlyphs\":B.push((()=>this.setGlyphs.apply(this,ee.args)));break;case\"setSprite\":B.push((()=>this.setSprite.apply(this,ee.args)));break;case\"setSky\":B.push((()=>this.setSky.apply(this,ee.args)));break;case\"setTerrain\":B.push((()=>this.map.setTerrain.apply(this,ee.args)));break;case\"setTransition\":B.push((()=>{}));break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new pt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,(()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w}))),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let le;if(w.type===\"custom\"){if(da(this,a.aD(w)))return;le=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;le=a.aA(w),this._validateLayer(le),le.setEventedParent(this,{layer:{id:ee}})}let Fe=B?this._order.indexOf(B):this._order.length;if(B&&Fe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(Fe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=le,this._removedLayers[ee]&&le.source&&le.type!==\"custom\"){let Ze=this._removedLayers[ee];delete this._removedLayers[ee],Ze.type!==le.type?this._updatedSources[le.source]=\"clear\":(this._updatedSources[le.source]=\"reload\",this.sourceCaches[le.source].pause())}this._updateLayer(le),le.onAdd&&le.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getLayoutProperty(B),Q)||(le.setLayoutProperty(B,Q,ee),this._updateLayer(le)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getPaintProperty(B),Q)||(le.setPaintProperty(B,Q,ee)&&this._updateLayer(le),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,le=this.sourceCaches[Q];if(le===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let Fe=le.getSource().type;Fe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):Fe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),le.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let le=ee.getSource().type,Fe=le===\"vector\"?w.sourceLayer:void 0;le!==\"vector\"||Fe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(Fe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,(le=>le.serialize())),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},(le=>le!==void 0))}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=Fe=>this._layers[Fe].type===\"fill-extrusion\",Q={},ee=[];for(let Fe=this._order.length-1;Fe>=0;Fe--){let Ze=this._order[Fe];if(B(Ze)){Q[Ze]=Fe;for(let ut of w){let Mt=ut[Ze];if(Mt)for(let Jt of Mt)ee.push(Jt)}}}ee.sort(((Fe,Ze)=>Ze.intersectionZ-Fe.intersectionZ));let le=[];for(let Fe=this._order.length-1;Fe>=0;Fe--){let Ze=this._order[Fe];if(B(Ze))for(let ut=ee.length-1;ut>=0;ut--){let Mt=ee[ut].feature;if(Q[Mt.layer.id]<Fe)break;le.push(Mt),ee.pop()}else for(let ut of w){let Mt=ut[Ze];if(Mt)for(let Jt of Mt)le.push(Jt.feature)}}return le}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let Ze of B.layers){let ut=this._layers[Ze];if(!ut)return this.fire(new a.j(new Error(`The layer '${Ze}' does not exist in the map's style and cannot be queried for features.`))),[];ee[ut.source]=!0}}let le=[];B.availableImages=this._availableImages;let Fe=this._serializedAllLayers();for(let Ze in this.sourceCaches)B.layers&&!ee[Ze]||le.push(Le(this.sourceCaches[Ze],this._layers,Fe,w,B,Q));return this.placement&&le.push((function(Ze,ut,Mt,Jt,$t,yr,Cr){let ve={},xe=yr.queryRenderedSymbols(Jt),Ie=[];for(let ze of Object.keys(xe).map(Number))Ie.push(Cr[ze]);Ie.sort(me);for(let ze of Ie){let Qe=ze.featureIndex.lookupSymbolFeatures(xe[ze.bucketInstanceId],ut,ze.bucketIndex,ze.sourceLayerIndex,$t.filter,$t.layers,$t.availableImages,Ze);for(let Xe in Qe){let nt=ve[Xe]=ve[Xe]||[],qt=Qe[Xe];qt.sort(((Wt,nr)=>{let fr=ze.featureSortOrder;if(fr){let br=fr.indexOf(Wt.featureIndex);return fr.indexOf(nr.featureIndex)-br}return nr.featureIndex-Wt.featureIndex}));for(let Wt of qt)nt.push(Wt)}}for(let ze in ve)ve[ze].forEach((Qe=>{let Xe=Qe.feature,nt=Mt[Ze[ze].source].getFeatureState(Xe.layer[\"source-layer\"],Xe.id);Xe.source=Xe.layer.source,Xe.layer[\"source-layer\"]&&(Xe.sourceLayer=Xe.layer[\"source-layer\"]),Xe.state=nt}));return ve})(this._layers,Fe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(le)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?(function(ee,le){let Fe=ee.getRenderableIds().map((Mt=>ee.getTileByID(Mt))),Ze=[],ut={};for(let Mt=0;Mt<Fe.length;Mt++){let Jt=Fe[Mt],$t=Jt.tileID.canonical.key;ut[$t]||(ut[$t]=!0,Jt.querySourceFeatures(Ze,le))}return Ze})(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let Fe in w)if(!a.aE(w[Fe],Q[Fe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(le)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let Fe in w)if(!a.aE(w[Fe],Q[Fe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(le)}_validate(w,B,Q,ee,le={}){return(!le||le.validate!==!1)&&da(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),St().off(Ue,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,le=!1){let Fe=!1,Ze=!1,ut={};for(let Mt of this._order){let Jt=this._layers[Mt];if(Jt.type!==\"symbol\")continue;if(!ut[Jt.source]){let yr=this.sourceCaches[Jt.source];ut[Jt.source]=yr.getRenderableIds(!0).map((Cr=>yr.getTileByID(Cr))).sort(((Cr,ve)=>ve.tileID.overscaledZ-Cr.tileID.overscaledZ||(Cr.tileID.isLessThan(ve.tileID)?-1:1)))}let $t=this.crossTileSymbolIndex.addLayer(Jt,ut[Jt.source],w.center.lng);Fe=Fe||$t}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((le=le||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new Ba(w,this.map.terrain,this._order,le,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,ut),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),Ze=!0),Fe&&this.pauseablePlacement.placement.setStale()),Ze||Fe)for(let Mt of this._order){let Jt=this._layers[Mt];Jt.type===\"symbol\"&&this.placement.updateLayerOpacities(Jt,ut[Jt.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,(function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q}))}getGlyphs(w,B){return a._(this,void 0,void 0,(function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let le=[{id:w,url:B}],Fe=[...C(this.stylesheet.sprite),...le];this._validate(a.u.sprite,\"sprite\",Fe,null,Q)||(this.stylesheet.sprite=Fe,this._loadSprite(le,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find((Q=>Q.id===w))){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex((Q=>Q.id===w)),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var vo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let Gn={prelude:Ct(`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "`,`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n",
+       "#ifdef TERRAIN3D\n",
+       "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n",
+       "#endif\n",
+       "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n",
+       "#ifdef TERRAIN3D\n",
+       "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float calculate_visibility(vec4 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float ele(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}float get_elevation(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}`),background:Ct(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:Ct(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:Ct(`varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:Ct(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:Ct(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:Ct(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:Ct(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:Ct(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:Ct(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:Ct(`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:Ct(`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:Ct(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:Ct(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:Ct(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:Ct(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:Ct(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),lineGradient:Ct(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),linePattern:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:Ct(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:Ct(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:Ct(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:Ct(`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:Ct(`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:Ct(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:Ct(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:Ct(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:Ct(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function Ct(ue,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=ue.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),le=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),Fe=le?le.concat(ee):ee,Ze={};return{fragmentSource:ue=ue.replace(B,((ut,Mt,Jt,$t,yr)=>(Ze[yr]=!0,Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "varying ${Jt} ${$t} ${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`))),vertexSource:w=w.replace(B,((ut,Mt,Jt,$t,yr)=>{let Cr=$t===\"float\"?\"vec2\":\"vec4\",ve=yr.match(/color/)?\"color\":Cr;return Ze[yr]?Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "uniform lowp float u_${yr}_t;\n",
+       "attribute ${Jt} ${Cr} a_${yr};\n",
+       "varying ${Jt} ${$t} ${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:ve===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${yr} = a_${yr};\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${yr} = unpack_mix_${ve}(a_${yr}, u_${yr}_t);\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "uniform lowp float u_${yr}_t;\n",
+       "attribute ${Jt} ${Cr} a_${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:ve===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = a_${yr};\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = unpack_mix_${ve}(a_${yr}, u_${yr}_t);\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`})),staticAttributes:Q,staticUniforms:Fe}}class Sr{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,le,Fe,Ze,ut,Mt){this.context=w;let Jt=this.boundPaintVertexBuffers.length!==ee.length;for(let $t=0;!Jt&&$t<ee.length;$t++)this.boundPaintVertexBuffers[$t]!==ee[$t]&&(Jt=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Jt||this.boundIndexBuffer!==le||this.boundVertexOffset!==Fe||this.boundDynamicVertexBuffer!==Ze||this.boundDynamicVertexBuffer2!==ut||this.boundDynamicVertexBuffer3!==Mt?this.freshBind(B,Q,ee,le,Fe,Ze,ut,Mt):(w.bindVertexArray.set(this.vao),Ze&&Ze.bind(),le&&le.dynamicDraw&&le.bind(),ut&&ut.bind(),Mt&&Mt.bind())}freshBind(w,B,Q,ee,le,Fe,Ze,ut){let Mt=w.numAttributes,Jt=this.context,$t=Jt.gl;this.vao&&this.destroy(),this.vao=Jt.createVertexArray(),Jt.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=le,this.boundDynamicVertexBuffer=Fe,this.boundDynamicVertexBuffer2=Ze,this.boundDynamicVertexBuffer3=ut,B.enableAttributes($t,w);for(let yr of Q)yr.enableAttributes($t,w);Fe&&Fe.enableAttributes($t,w),Ze&&Ze.enableAttributes($t,w),ut&&ut.enableAttributes($t,w),B.bind(),B.setVertexAttribPointers($t,w,le);for(let yr of Q)yr.bind(),yr.setVertexAttribPointers($t,w,le);Fe&&(Fe.bind(),Fe.setVertexAttribPointers($t,w,le)),ee&&ee.bind(),Ze&&(Ze.bind(),Ze.setVertexAttribPointers($t,w,le)),ut&&(ut.bind(),ut.setVertexAttribPointers($t,w,le)),Jt.currentNumAttributes=Mt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Jr=(ue,w,B,Q,ee)=>({u_matrix:ue,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function hi(ue){let w=[];for(let B=0;B<ue.length;B++){if(ue[B]===null)continue;let Q=ue[B].split(\" \");w.push(Q.pop())}return w}class hn{constructor(w,B,Q,ee,le,Fe){let Ze=w.gl;this.program=Ze.createProgram();let ut=hi(B.staticAttributes),Mt=Q?Q.getBinderAttributes():[],Jt=ut.concat(Mt),$t=Gn.prelude.staticUniforms?hi(Gn.prelude.staticUniforms):[],yr=B.staticUniforms?hi(B.staticUniforms):[],Cr=Q?Q.getBinderUniforms():[],ve=$t.concat(yr).concat(Cr),xe=[];for(let Wt of ve)xe.indexOf(Wt)<0&&xe.push(Wt);let Ie=Q?Q.defines():[];le&&Ie.push(\"#define OVERDRAW_INSPECTOR;\"),Fe&&Ie.push(\"#define TERRAIN3D;\");let ze=Ie.concat(Gn.prelude.fragmentSource,B.fragmentSource).join(`\n",
+       "`),Qe=Ie.concat(Gn.prelude.vertexSource,B.vertexSource).join(`\n",
+       "`),Xe=Ze.createShader(Ze.FRAGMENT_SHADER);if(Ze.isContextLost())return void(this.failedToCreate=!0);if(Ze.shaderSource(Xe,ze),Ze.compileShader(Xe),!Ze.getShaderParameter(Xe,Ze.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${Ze.getShaderInfoLog(Xe)}`);Ze.attachShader(this.program,Xe);let nt=Ze.createShader(Ze.VERTEX_SHADER);if(Ze.isContextLost())return void(this.failedToCreate=!0);if(Ze.shaderSource(nt,Qe),Ze.compileShader(nt),!Ze.getShaderParameter(nt,Ze.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${Ze.getShaderInfoLog(nt)}`);Ze.attachShader(this.program,nt),this.attributes={};let qt={};this.numAttributes=Jt.length;for(let Wt=0;Wt<this.numAttributes;Wt++)Jt[Wt]&&(Ze.bindAttribLocation(this.program,Wt,Jt[Wt]),this.attributes[Jt[Wt]]=Wt);if(Ze.linkProgram(this.program),!Ze.getProgramParameter(this.program,Ze.LINK_STATUS))throw new Error(`Program failed to link: ${Ze.getProgramInfoLog(this.program)}`);Ze.deleteShader(nt),Ze.deleteShader(Xe);for(let Wt=0;Wt<xe.length;Wt++){let nr=xe[Wt];if(nr&&!qt[nr]){let fr=Ze.getUniformLocation(this.program,nr);fr&&(qt[nr]=fr)}}this.fixedUniforms=ee(w,qt),this.terrainUniforms=((Wt,nr)=>({u_depth:new a.aH(Wt,nr.u_depth),u_terrain:new a.aH(Wt,nr.u_terrain),u_terrain_dim:new a.aI(Wt,nr.u_terrain_dim),u_terrain_matrix:new a.aJ(Wt,nr.u_terrain_matrix),u_terrain_unpack:new a.aK(Wt,nr.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Wt,nr.u_terrain_exaggeration)}))(w,qt),this.binderUniforms=Q?Q.getUniforms(w,qt):[]}draw(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie,ze,Qe){let Xe=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(le),w.setCullFace(Fe),ut){w.activeTexture.set(Xe.TEXTURE2),Xe.bindTexture(Xe.TEXTURE_2D,ut.depthTexture),w.activeTexture.set(Xe.TEXTURE3),Xe.bindTexture(Xe.TEXTURE_2D,ut.texture);for(let qt in this.terrainUniforms)this.terrainUniforms[qt].set(ut[qt])}for(let qt in this.fixedUniforms)this.fixedUniforms[qt].set(Ze[qt]);xe&&xe.setUniforms(w,this.binderUniforms,Cr,{zoom:ve});let nt=0;switch(B){case Xe.LINES:nt=2;break;case Xe.TRIANGLES:nt=3;break;case Xe.LINE_STRIP:nt=1}for(let qt of yr.get()){let Wt=qt.vaos||(qt.vaos={});(Wt[Mt]||(Wt[Mt]=new Sr)).bind(w,this,Jt,xe?xe.getPaintVertexBuffers():[],$t,qt.vertexOffset,Ie,ze,Qe),Xe.drawElements(B,qt.primitiveLength*nt,Xe.UNSIGNED_SHORT,qt.primitiveOffset*nt*2)}}}function Sn(ue,w,B){let Q=1/Fn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),le=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,Fe=le*(B.tileID.canonical.x+B.tileID.wrap*ee),Ze=le*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,ue.fromScale,ue.toScale],u_fade:ue.t,u_pixel_coord_upper:[Fe>>16,Ze>>16],u_pixel_coord_lower:[65535&Fe,65535&Ze]}}let En=(ue,w,B,Q)=>{let ee=w.style.light,le=ee.properties.get(\"position\"),Fe=[le.x,le.y,le.z],Ze=(function(){var Mt=new a.A(9);return a.A!=Float32Array&&(Mt[1]=0,Mt[2]=0,Mt[3]=0,Mt[5]=0,Mt[6]=0,Mt[7]=0),Mt[0]=1,Mt[4]=1,Mt[8]=1,Mt})();ee.properties.get(\"anchor\")===\"viewport\"&&(function(Mt,Jt){var $t=Math.sin(Jt),yr=Math.cos(Jt);Mt[0]=yr,Mt[1]=$t,Mt[2]=0,Mt[3]=-$t,Mt[4]=yr,Mt[5]=0,Mt[6]=0,Mt[7]=0,Mt[8]=1})(Ze,-w.transform.angle),(function(Mt,Jt,$t){var yr=Jt[0],Cr=Jt[1],ve=Jt[2];Mt[0]=yr*$t[0]+Cr*$t[3]+ve*$t[6],Mt[1]=yr*$t[1]+Cr*$t[4]+ve*$t[7],Mt[2]=yr*$t[2]+Cr*$t[5]+ve*$t[8]})(Fe,Fe,Ze);let ut=ee.properties.get(\"color\");return{u_matrix:ue,u_lightpos:Fe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[ut.r,ut.g,ut.b],u_vertical_gradient:+B,u_opacity:Q}},ki=(ue,w,B,Q,ee,le,Fe)=>a.e(En(ue,w,B,Q),Sn(le,w,Fe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/Fe.tileSize/8}),_n=ue=>({u_matrix:ue}),ya=(ue,w,B,Q)=>a.e(_n(ue),Sn(B,w,Q)),ea=(ue,w)=>({u_matrix:ue,u_world:w}),Ma=(ue,w,B,Q,ee)=>a.e(ya(ue,w,B,Q),{u_world:ee}),_o=(ue,w,B,Q)=>{let ee=ue.transform,le,Fe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let Ze=Fn(B,1,ee.zoom);le=!0,Fe=[Ze,Ze]}else le=!1,Fe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:ue.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+le,u_device_pixel_ratio:ue.pixelRatio,u_extrude_scale:Fe}},No=(ue,w,B)=>({u_matrix:ue,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),po=(ue,w,B=1)=>({u_matrix:ue,u_color:w,u_overlay:0,u_overlay_scale:B}),Lo=ue=>({u_matrix:ue}),ko=(ue,w,B,Q)=>({u_matrix:ue,u_extrude_scale:Fn(w,1,B),u_intensity:Q}),Ds=(ue,w,B,Q)=>{let ee=a.H();a.aP(ee,0,ue.width,ue.height,0,0,1);let le=ue.context.gl;return{u_matrix:ee,u_world:[le.drawingBufferWidth,le.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function Fs(ue,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let ll=(ue,w,B,Q)=>{let ee=ue.transform;return{u_matrix:As(ue,w,B,Q),u_ratio:1/Fn(w,1,ee.zoom),u_device_pixel_ratio:ue.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},ul=(ue,w,B,Q,ee)=>a.e(ll(ue,w,B,ee),{u_image:0,u_image_height:Q}),Fl=(ue,w,B,Q,ee)=>{let le=ue.transform,Fe=rl(w,le);return{u_matrix:As(ue,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/Fn(w,1,le.zoom),u_device_pixel_ratio:ue.pixelRatio,u_image:0,u_scale:[Fe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/le.pixelsToGLUnits[0],1/le.pixelsToGLUnits[1]]}},us=(ue,w,B,Q,ee,le)=>{let Fe=ue.lineAtlas,Ze=rl(w,ue.transform),ut=B.layout.get(\"line-cap\")===\"round\",Mt=Fe.getDash(Q.from,ut),Jt=Fe.getDash(Q.to,ut),$t=Mt.width*ee.fromScale,yr=Jt.width*ee.toScale;return a.e(ll(ue,w,B,le),{u_patternscale_a:[Ze/$t,-Mt.height/2],u_patternscale_b:[Ze/yr,-Jt.height/2],u_sdfgamma:Fe.width/(256*Math.min($t,yr)*ue.pixelRatio)/2,u_image:0,u_tex_y_a:Mt.y,u_tex_y_b:Jt.y,u_mix:ee.t})};function rl(ue,w){return 1/Fn(ue,1,w.tileZoom)}function As(ue,w,B,Q){return ue.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let cl=(ue,w,B,Q,ee)=>{return{u_matrix:ue,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(Fe=ee.paint.get(\"raster-saturation\"),Fe>0?1-1/(1.001-Fe):-Fe),u_contrast_factor:(le=ee.paint.get(\"raster-contrast\"),le>0?1/(1-le):1+le),u_spin_weights:Ks(ee.paint.get(\"raster-hue-rotate\"))};var le,Fe};function Ks(ue){ue*=Math.PI/180;let w=Math.sin(ue),B=Math.cos(ue);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let zs=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr)=>{let ve=Fe.transform;return{u_is_size_zoom_constant:+(ue===\"constant\"||ue===\"source\"),u_is_size_feature_constant:+(ue===\"constant\"||ue===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:ve.cameraToCenterDistance,u_pitch:ve.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:ve.width/ve.height,u_fade_change:Fe.options.fadeDuration?Fe.symbolFadeChange:1,u_matrix:Ze,u_label_plane_matrix:ut,u_coord_matrix:Mt,u_is_text:+$t,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:le,u_texsize:yr,u_texture:0,u_translation:Jt,u_pitched_scale:Cr}},Io=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve)=>{let xe=Fe.transform;return a.e(zs(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,ve),{u_gamma_scale:Q?Math.cos(xe._pitch)*xe.cameraToCenterDistance:1,u_device_pixel_ratio:Fe.pixelRatio,u_is_halo:+Cr})},ls=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr)=>a.e(Io(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,!0,$t,!0,Cr),{u_texsize_icon:yr,u_texture_icon:1}),Yl=(ue,w,B)=>({u_matrix:ue,u_opacity:w,u_color:B}),Su=(ue,w,B,Q,ee,le)=>a.e((function(Fe,Ze,ut,Mt){let 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a.aO(ue,w.u_units_to_pixels),u_patternscale_a:new a.aO(ue,w.u_patternscale_a),u_patternscale_b:new a.aO(ue,w.u_patternscale_b),u_sdfgamma:new a.aI(ue,w.u_sdfgamma),u_image:new a.aH(ue,w.u_image),u_tex_y_a:new a.aI(ue,w.u_tex_y_a),u_tex_y_b:new a.aI(ue,w.u_tex_y_b),u_mix:new a.aI(ue,w.u_mix)}),raster:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_tl_parent:new a.aO(ue,w.u_tl_parent),u_scale_parent:new a.aI(ue,w.u_scale_parent),u_buffer_scale:new a.aI(ue,w.u_buffer_scale),u_fade_t:new a.aI(ue,w.u_fade_t),u_opacity:new a.aI(ue,w.u_opacity),u_image0:new a.aH(ue,w.u_image0),u_image1:new a.aH(ue,w.u_image1),u_brightness_low:new a.aI(ue,w.u_brightness_low),u_brightness_high:new a.aI(ue,w.u_brightness_high),u_saturation_factor:new a.aI(ue,w.u_saturation_factor),u_contrast_factor:new a.aI(ue,w.u_contrast_factor),u_spin_weights:new a.aN(ue,w.u_spin_weights)}),symbolIcon:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new 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a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_gamma_scale:new a.aI(ue,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_is_halo:new a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolTextAndIcon:(ue,w)=>({u_is_size_zoom_constant:new 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a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),background:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_color:new a.aL(ue,w.u_color)}),backgroundPattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_image:new a.aH(ue,w.u_image),u_pattern_tl_a:new a.aO(ue,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(ue,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(ue,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(ue,w.u_pattern_br_b),u_texsize:new a.aO(ue,w.u_texsize),u_mix:new a.aI(ue,w.u_mix),u_pattern_size_a:new a.aO(ue,w.u_pattern_size_a),u_pattern_size_b:new a.aO(ue,w.u_pattern_size_b),u_scale_a:new a.aI(ue,w.u_scale_a),u_scale_b:new a.aI(ue,w.u_scale_b),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(ue,w.u_tile_units_to_pixels)}),terrain:(ue,w)=>({u_matrix:new 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ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Rn={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class _a{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let le=w.gl;this.buffer=le.createBuffer(),w.bindVertexBuffer.set(this.buffer),le.bufferData(le.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?le.DYNAMIC_DRAW:le.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let le=this.attributes[ee],Fe=B.attributes[le.name];Fe!==void 0&&w.vertexAttribPointer(Fe,le.components,w[Rn[le.type]],!1,this.itemSize,le.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Vu=new WeakMap;function zl(ue){var w;if(Vu.has(ue))return Vu.get(ue);{let B=(w=ue.getParameter(ue.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Vu.set(ue,B),B}}class xo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Kl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ns extends xo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Hl extends xo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class ac extends xo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class oa extends xo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class qo extends xo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class Oo extends xo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class ql extends xo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class Pc extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class Do extends xo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class nf extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class Vf extends xo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class pl extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Zc extends xo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Jl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class qs extends xo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class yu extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class oc extends xo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Cf extends xo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class sc extends xo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class jh extends xo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class Lf extends xo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class cs extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class af extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class $l extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class fl extends xo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class lc extends xo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;zl(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Fu extends xo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class Es extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class Hs extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class Go extends xo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class ps extends Go{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class uc extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class bl extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gu{constructor(w,B,Q,ee,le){this.context=w,this.width=B,this.height=Q;let Fe=w.gl,Ze=this.framebuffer=Fe.createFramebuffer();if(this.colorAttachment=new ps(w,Ze),ee)this.depthAttachment=le?new bl(w,Ze):new uc(w,Ze);else if(le)throw new Error(\"Stencil cannot be set without depth\");if(Fe.checkFramebufferStatus(Fe.FRAMEBUFFER)!==Fe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class Os{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}Os.Replace=[1,0],Os.disabled=new Os(Os.Replace,a.aM.transparent,[!1,!1,!1,!1]),Os.unblended=new Os(Os.Replace,a.aM.transparent,[!0,!0,!0,!0]),Os.alphaBlended=new Os([1,771],a.aM.transparent,[!0,!0,!0,!0]);class od{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Kl(this),this.clearDepth=new Ns(this),this.clearStencil=new Hl(this),this.colorMask=new ac(this),this.depthMask=new oa(this),this.stencilMask=new qo(this),this.stencilFunc=new Oo(this),this.stencilOp=new ql(this),this.stencilTest=new Pc(this),this.depthRange=new Do(this),this.depthTest=new nf(this),this.depthFunc=new Vf(this),this.blend=new pl(this),this.blendFunc=new Zc(this),this.blendColor=new Jl(this),this.blendEquation=new qs(this),this.cullFace=new yu(this),this.cullFaceSide=new oc(this),this.frontFace=new Cf(this),this.program=new sc(this),this.activeTexture=new jh(this),this.viewport=new Lf(this),this.bindFramebuffer=new cs(this),this.bindRenderbuffer=new af(this),this.bindTexture=new Gf(this),this.bindVertexBuffer=new $l(this),this.bindElementBuffer=new fl(this),this.bindVertexArray=new lc(this),this.pixelStoreUnpack=new Fu(this),this.pixelStoreUnpackPremultiplyAlpha=new Es(this),this.pixelStoreUnpackFlipY=new Hs(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),zl(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(w,B){return new bs(this,w,B)}createVertexBuffer(w,B,Q){return new _a(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,le=ee.createRenderbuffer();return this.bindRenderbuffer.set(le),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),le}createFramebuffer(w,B,Q,ee){return new Gu(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,le=0;w&&(le|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(le|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(le|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(le)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,Os.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return zl(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return zl(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class Po{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}Po.ReadOnly=!1,Po.ReadWrite=!0,Po.disabled=new Po(519,Po.ReadOnly,[0,1]);let sd=7680;class Ko{constructor(w,B,Q,ee,le,Fe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=le,this.pass=Fe}}Ko.disabled=new Ko({func:519,mask:0},0,0,sd,sd,sd);class Pa{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let of;function Hu(ue,w,B,Q,ee){let le=ue.context,Fe=le.gl,Ze=ue.useProgram(\"collisionBox\"),ut=[],Mt=0,Jt=0;for(let ze=0;ze<Q.length;ze++){let Qe=Q[ze],Xe=w.getTile(Qe).getBucket(B);if(!Xe)continue;let nt=ee?Xe.textCollisionBox:Xe.iconCollisionBox,qt=Xe.collisionCircleArray;if(qt.length>0){let Wt=a.H();a.aQ(Wt,Xe.placementInvProjMatrix,ue.transform.glCoordMatrix),a.aQ(Wt,Wt,Xe.placementViewportMatrix),ut.push({circleArray:qt,circleOffset:Jt,transform:Qe.posMatrix,invTransform:Wt,coord:Qe}),Mt+=qt.length/4,Jt=Mt}nt&&Ze.draw(le,Fe.LINES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,{u_matrix:Qe.posMatrix,u_pixel_extrude_scale:[1/($t=ue.transform).width,1/$t.height]},ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Qe),B.id,nt.layoutVertexBuffer,nt.indexBuffer,nt.segments,null,ue.transform.zoom,null,null,nt.collisionVertexBuffer)}var $t;if(!ee||!ut.length)return;let yr=ue.useProgram(\"collisionCircle\"),Cr=new a.aR;Cr.resize(4*Mt),Cr._trim();let ve=0;for(let ze of ut)for(let Qe=0;Qe<ze.circleArray.length/4;Qe++){let Xe=4*Qe,nt=ze.circleArray[Xe+0],qt=ze.circleArray[Xe+1],Wt=ze.circleArray[Xe+2],nr=ze.circleArray[Xe+3];Cr.emplace(ve++,nt,qt,Wt,nr,0),Cr.emplace(ve++,nt,qt,Wt,nr,1),Cr.emplace(ve++,nt,qt,Wt,nr,2),Cr.emplace(ve++,nt,qt,Wt,nr,3)}(!of||of.length<2*Mt)&&(of=(function(ze){let Qe=2*ze,Xe=new a.aT;Xe.resize(Qe),Xe._trim();for(let nt=0;nt<Qe;nt++){let qt=6*nt;Xe.uint16[qt+0]=4*nt+0,Xe.uint16[qt+1]=4*nt+1,Xe.uint16[qt+2]=4*nt+2,Xe.uint16[qt+3]=4*nt+2,Xe.uint16[qt+4]=4*nt+3,Xe.uint16[qt+5]=4*nt+0}return Xe})(Mt));let xe=le.createIndexBuffer(of,!0),Ie=le.createVertexBuffer(Cr,a.aS.members,!0);for(let ze of ut){let Qe=No(ze.transform,ze.invTransform,ue.transform);yr.draw(le,Fe.TRIANGLES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,Qe,ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(ze.coord),B.id,Ie,xe,a.a0.simpleSegment(0,2*ze.circleOffset,ze.circleArray.length,ze.circleArray.length/2),null,ue.transform.zoom,null,null,null)}Ie.destroy(),xe.destroy()}Pa.disabled=new Pa(!1,1029,2305),Pa.backCCW=new Pa(!0,1029,2305);let wl=a.an(new Float32Array(16));function Hf(ue,w,B,Q,ee,le){let{horizontalAlign:Fe,verticalAlign:Ze}=a.au(ue);return new a.P((-(Fe-.5)*w/ee+Q[0])*le,(-(Ze-.5)*B/ee+Q[1])*le)}function Ic(ue,w,B,Q,ee,le){let Fe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let Ze=Q.mult(le);B||(Ze=Ze.rotate(-ee));let ut=Fe.add(Ze);return gt(ut.x,ut.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let Ze=Mr(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(ue),ut=Math.atan(Ze.y/Ze.x)+(Ze.x<0?Math.PI:0);return ue.add(Q.rotate(ut))}return ue.add(Q)}function yf(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr){let ve=ue.text.placedSymbolArray,xe=ue.text.dynamicLayoutVertexArray,Ie=ue.icon.dynamicLayoutVertexArray,ze={};xe.clear();for(let Qe=0;Qe<ve.length;Qe++){let Xe=ve.get(Qe),nt=Xe.hidden||!Xe.crossTileID||ue.allowVerticalPlacement&&!Xe.placedOrientation?null:Q[Xe.crossTileID];if(nt){let qt=new a.P(Xe.anchorX,Xe.anchorY),Wt={getElevation:Cr,width:ee.width,height:ee.height,labelPlaneMatrix:le,lineVertexArray:null,pitchWithMap:B,projection:Jt,projectionCache:null,tileAnchorPoint:qt,translation:$t,unwrappedTileID:yr},nr=B?gt(qt.x,qt.y,Fe,Cr):Mr(qt.x,qt.y,Wt),fr=Ge(ee.cameraToCenterDistance,nr.signedDistanceFromCamera),br=a.ai(ue.textSizeData,ut,Xe)*fr/a.ap;B&&(br*=ue.tilePixelRatio/Ze);let{width:Fr,height:Hr,anchor:ri,textOffset:Ci,textBoxScale:cn}=nt,sn=Hf(ri,Fr,Hr,Ci,cn,br),Ln=Jt.getPitchedTextCorrection(ee,qt.add(new a.P($t[0],$t[1])),yr),Kn=Ic(nr.point,Wt,w,sn,ee.angle,Ln),Aa=ue.allowVerticalPlacement&&Xe.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let fa=0;fa<Xe.numGlyphs;fa++)a.aj(xe,Kn,Aa);Mt&&Xe.associatedIconIndex>=0&&(ze[Xe.associatedIconIndex]={shiftedAnchor:Kn,angle:Aa})}else Pi(Xe.numGlyphs,xe)}if(Mt){Ie.clear();let Qe=ue.icon.placedSymbolArray;for(let Xe=0;Xe<Qe.length;Xe++){let nt=Qe.get(Xe);if(nt.hidden)Pi(nt.numGlyphs,Ie);else{let qt=ze[Xe];if(qt)for(let Wt=0;Wt<nt.numGlyphs;Wt++)a.aj(Ie,qt.shiftedAnchor,qt.angle);else Pi(nt.numGlyphs,Ie)}}ue.icon.dynamicLayoutVertexBuffer.updateData(Ie)}ue.text.dynamicLayoutVertexBuffer.updateData(xe)}function Ol(ue,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":ue?\"symbolSDF\":\"symbolIcon\"}function Ah(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t){let yr=ue.context,Cr=yr.gl,ve=ue.transform,xe=yn(),Ie=Ze===\"map\",ze=ut===\"map\",Qe=Ze!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",Xe=Ie&&!ze&&!Qe,nt=!ze&&Qe,qt=!B.layout.get(\"symbol-sort-key\").isConstant(),Wt=!1,nr=ue.depthModeForSublayer(0,Po.ReadOnly),fr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),br=[],Fr=xe.getCircleRadiusCorrection(ve);for(let Hr of Q){let ri=w.getTile(Hr),Ci=ri.getBucket(B);if(!Ci)continue;let cn=ee?Ci.text:Ci.icon;if(!cn||!cn.segments.get().length||!cn.hasVisibleVertices)continue;let sn=cn.programConfigurations.get(B.id),Ln=ee||Ci.sdfIcons,Kn=ee?Ci.textSizeData:Ci.iconSizeData,Aa=ze||ve.pitch!==0,fa=ue.useProgram(Ol(Ln,ee,Ci),sn),$a=a.ag(Kn,ve.zoom),Co=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Hr),Qa,mo,Bo,Ps,Ts=[0,0],wo=null;if(ee)mo=ri.glyphAtlasTexture,Bo=Cr.LINEAR,Qa=ri.glyphAtlasTexture.size,Ci.iconsInText&&(Ts=ri.imageAtlasTexture.size,wo=ri.imageAtlasTexture,Ps=Aa||ue.options.rotating||ue.options.zooming||Kn.kind===\"composite\"||Kn.kind===\"camera\"?Cr.LINEAR:Cr.NEAREST);else{let Ye=B.layout.get(\"icon-size\").constantOr(0)!==1||Ci.iconsNeedLinear;mo=ri.imageAtlasTexture,Bo=Ln||ue.options.rotating||ue.options.zooming||Ye||Aa?Cr.LINEAR:Cr.NEAREST,Qa=ri.imageAtlasTexture.size}let To=Fn(ri,1,ue.transform.zoom),hl=nt?Hr.posMatrix:wl,Nl=qr(hl,ze,Ie,ue.transform,To),Lu=jr(hl,ze,Ie,ue.transform,To),au=jr(Hr.posMatrix,ze,Ie,ue.transform,To),Js=xe.translatePosition(ue.transform,ri,le,Fe),eu=fr&&Ci.hasTextData(),dc=B.layout.get(\"icon-text-fit\")!==\"none\"&&eu&&Ci.hasIconData();if(Qe){let Ye=ue.style.map.terrain?(ot,Xt)=>ue.style.map.terrain.getElevation(Hr,ot,Xt):null,Pt=B.layout.get(\"text-rotation-alignment\")===\"map\";We(Ci,Hr.posMatrix,ue,ee,Nl,au,ze,Mt,Pt,xe,Hr.toUnwrapped(),ve.width,ve.height,Js,Ye)}let Al=Hr.posMatrix,Sl=ee&&fr||dc,X=Qe||Sl?wl:Nl,se=Lu,Te=Ln&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,qe;qe=Ln?Ci.iconsInText?ls(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,Qa,Ts,Fr):Io(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,ee,Qa,!0,Fr):zs(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,ee,Qa,Fr);let Ve={program:fa,buffers:cn,uniformValues:qe,atlasTexture:mo,atlasTextureIcon:wo,atlasInterpolation:Bo,atlasInterpolationIcon:Ps,isSDF:Ln,hasHalo:Te};if(qt&&Ci.canOverlap){Wt=!0;let Ye=cn.segments.get();for(let Pt of Ye)br.push({segments:new a.a0([Pt]),sortKey:Pt.sortKey,state:Ve,terrainData:Co})}else br.push({segments:cn.segments,sortKey:0,state:Ve,terrainData:Co})}Wt&&br.sort(((Hr,ri)=>Hr.sortKey-ri.sortKey));for(let Hr of br){let ri=Hr.state;if(yr.activeTexture.set(Cr.TEXTURE0),ri.atlasTexture.bind(ri.atlasInterpolation,Cr.CLAMP_TO_EDGE),ri.atlasTextureIcon&&(yr.activeTexture.set(Cr.TEXTURE1),ri.atlasTextureIcon&&ri.atlasTextureIcon.bind(ri.atlasInterpolationIcon,Cr.CLAMP_TO_EDGE)),ri.isSDF){let Ci=ri.uniformValues;ri.hasHalo&&(Ci.u_is_halo=1,Qf(ri.buffers,Hr.segments,B,ue,ri.program,nr,Jt,$t,Ci,Hr.terrainData)),Ci.u_is_halo=0}Qf(ri.buffers,Hr.segments,B,ue,ri.program,nr,Jt,$t,ri.uniformValues,Hr.terrainData)}}function Qf(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt){let Jt=Q.context;ee.draw(Jt,Jt.gl.TRIANGLES,le,Fe,Ze,Pa.disabled,ut,Mt,B.id,ue.layoutVertexBuffer,ue.indexBuffer,w,B.paint,Q.transform.zoom,ue.programConfigurations.get(B.id),ue.dynamicLayoutVertexBuffer,ue.opacityVertexBuffer)}function _f(ue,w,B,Q){let ee=ue.context,le=ee.gl,Fe=Ko.disabled,Ze=new Os([le.ONE,le.ONE],a.aM.transparent,[!0,!0,!0,!0]),ut=w.getBucket(B);if(!ut)return;let Mt=Q.key,Jt=B.heatmapFbos.get(Mt);Jt||(Jt=eh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(Mt,Jt)),ee.bindFramebuffer.set(Jt.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let $t=ut.programConfigurations.get(B.id),yr=ue.useProgram(\"heatmap\",$t),Cr=ue.style.map.terrain.getTerrainData(Q);yr.draw(ee,le.TRIANGLES,Po.disabled,Fe,Ze,Pa.disabled,ko(Q.posMatrix,w,ue.transform.zoom,B.paint.get(\"heatmap-intensity\")),Cr,B.id,ut.layoutVertexBuffer,ut.indexBuffer,ut.segments,B.paint,ue.transform.zoom,$t)}function Yc(ue,w,B){let Q=ue.context,ee=Q.gl;Q.setColorMode(ue.colorModeForRenderPass());let le=th(Q,w),Fe=B.key,Ze=w.heatmapFbos.get(Fe);Ze&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Ze.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),le.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),ue.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,Ds(ue,w,0,1),null,w.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments,w.paint,ue.transform.zoom),Ze.destroy(),w.heatmapFbos.delete(Fe))}function eh(ue,w,B){var Q,ee;let le=ue.gl,Fe=le.createTexture();le.bindTexture(le.TEXTURE_2D,Fe),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,le.LINEAR),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,le.LINEAR);let Ze=(Q=ue.HALF_FLOAT)!==null&&Q!==void 0?Q:le.UNSIGNED_BYTE,ut=(ee=ue.RGBA16F)!==null&&ee!==void 0?ee:le.RGBA;le.texImage2D(le.TEXTURE_2D,0,ut,w,B,0,le.RGBA,Ze,null);let Mt=ue.createFramebuffer(w,B,!1,!1);return Mt.colorAttachment.set(Fe),Mt}function th(ue,w){return w.colorRampTexture||(w.colorRampTexture=new g(ue,w.colorRamp,ue.gl.RGBA)),w.colorRampTexture}function ju(ue,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let le=Q.imageAtlas.patternPositions,Fe=le[B.to.toString()],Ze=le[B.from.toString()];if(!Fe&&Ze&&(Fe=Ze),!Ze&&Fe&&(Ze=Fe),!Fe||!Ze){let ut=ee.getPaintProperty(w);Fe=le[ut],Ze=le[ut]}Fe&&Ze&&ue.setConstantPatternPositions(Fe,Ze)}function jf(ue,w,B,Q,ee,le,Fe){let Ze=ue.context.gl,ut=\"fill-pattern\",Mt=B.paint.get(ut),Jt=Mt&&Mt.constantOr(1),$t=B.getCrossfadeParameters(),yr,Cr,ve,xe,Ie;Fe?(Cr=Jt&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",yr=Ze.LINES):(Cr=Jt?\"fillPattern\":\"fill\",yr=Ze.TRIANGLES);let ze=Mt.constantOr(null);for(let Qe of Q){let Xe=w.getTile(Qe);if(Jt&&!Xe.patternsLoaded())continue;let nt=Xe.getBucket(B);if(!nt)continue;let qt=nt.programConfigurations.get(B.id),Wt=ue.useProgram(Cr,qt),nr=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Qe);Jt&&(ue.context.activeTexture.set(Ze.TEXTURE0),Xe.imageAtlasTexture.bind(Ze.LINEAR,Ze.CLAMP_TO_EDGE),qt.updatePaintBuffers($t)),ju(qt,ut,ze,Xe,B);let fr=nr?Qe:null,br=ue.translatePosMatrix(fr?fr.posMatrix:Qe.posMatrix,Xe,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(Fe){xe=nt.indexBuffer2,Ie=nt.segments2;let Fr=[Ze.drawingBufferWidth,Ze.drawingBufferHeight];ve=Cr===\"fillOutlinePattern\"&&Jt?Ma(br,ue,$t,Xe,Fr):ea(br,Fr)}else xe=nt.indexBuffer,Ie=nt.segments,ve=Jt?ya(br,ue,$t,Xe):_n(br);Wt.draw(ue.context,yr,ee,ue.stencilModeForClipping(Qe),le,Pa.disabled,ve,nr,B.id,nt.layoutVertexBuffer,xe,Ie,B.paint,ue.transform.zoom,qt)}}function cc(ue,w,B,Q,ee,le,Fe){let Ze=ue.context,ut=Ze.gl,Mt=\"fill-extrusion-pattern\",Jt=B.paint.get(Mt),$t=Jt.constantOr(1),yr=B.getCrossfadeParameters(),Cr=B.paint.get(\"fill-extrusion-opacity\"),ve=Jt.constantOr(null);for(let xe of Q){let Ie=w.getTile(xe),ze=Ie.getBucket(B);if(!ze)continue;let Qe=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(xe),Xe=ze.programConfigurations.get(B.id),nt=ue.useProgram($t?\"fillExtrusionPattern\":\"fillExtrusion\",Xe);$t&&(ue.context.activeTexture.set(ut.TEXTURE0),Ie.imageAtlasTexture.bind(ut.LINEAR,ut.CLAMP_TO_EDGE),Xe.updatePaintBuffers(yr)),ju(Xe,Mt,ve,Ie,B);let qt=ue.translatePosMatrix(xe.posMatrix,Ie,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Wt=B.paint.get(\"fill-extrusion-vertical-gradient\"),nr=$t?ki(qt,ue,Wt,Cr,xe,yr,Ie):En(qt,ue,Wt,Cr);nt.draw(Ze,Ze.gl.TRIANGLES,ee,le,Fe,Pa.backCCW,nr,Qe,B.id,ze.layoutVertexBuffer,ze.indexBuffer,ze.segments,B.paint,ue.transform.zoom,Xe,ue.style.map.terrain&&ze.centroidVertexBuffer)}}function sf(ue,w,B,Q,ee,le,Fe){let Ze=ue.context,ut=Ze.gl,Mt=B.fbo;if(!Mt)return;let Jt=ue.useProgram(\"hillshade\"),$t=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(w);Ze.activeTexture.set(ut.TEXTURE0),ut.bindTexture(ut.TEXTURE_2D,Mt.colorAttachment.get()),Jt.draw(Ze,ut.TRIANGLES,ee,le,Fe,Pa.disabled,((yr,Cr,ve,xe)=>{let Ie=ve.paint.get(\"hillshade-shadow-color\"),ze=ve.paint.get(\"hillshade-highlight-color\"),Qe=ve.paint.get(\"hillshade-accent-color\"),Xe=ve.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);ve.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(Xe-=yr.transform.angle);let nt=!yr.options.moving;return{u_matrix:xe?xe.posMatrix:yr.transform.calculatePosMatrix(Cr.tileID.toUnwrapped(),nt),u_image:0,u_latrange:Fs(0,Cr.tileID),u_light:[ve.paint.get(\"hillshade-exaggeration\"),Xe],u_shadow:Ie,u_highlight:ze,u_accent:Qe}})(ue,B,Q,$t?w:null),$t,Q.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments)}function Bl(ue,w,B,Q,ee,le){let Fe=ue.context,Ze=Fe.gl,ut=w.dem;if(ut&&ut.data){let Mt=ut.dim,Jt=ut.stride,$t=ut.getPixels();if(Fe.activeTexture.set(Ze.TEXTURE1),Fe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||ue.getTileTexture(Jt),w.demTexture){let Cr=w.demTexture;Cr.update($t,{premultiply:!1}),Cr.bind(Ze.NEAREST,Ze.CLAMP_TO_EDGE)}else w.demTexture=new g(Fe,$t,Ze.RGBA,{premultiply:!1}),w.demTexture.bind(Ze.NEAREST,Ze.CLAMP_TO_EDGE);Fe.activeTexture.set(Ze.TEXTURE0);let yr=w.fbo;if(!yr){let Cr=new g(Fe,{width:Mt,height:Mt,data:null},Ze.RGBA);Cr.bind(Ze.LINEAR,Ze.CLAMP_TO_EDGE),yr=w.fbo=Fe.createFramebuffer(Mt,Mt,!0,!1),yr.colorAttachment.set(Cr.texture)}Fe.bindFramebuffer.set(yr.framebuffer),Fe.viewport.set([0,0,Mt,Mt]),ue.useProgram(\"hillshadePrepare\").draw(Fe,Ze.TRIANGLES,Q,ee,le,Pa.disabled,((Cr,ve)=>{let xe=ve.stride,Ie=a.H();return a.aP(Ie,0,a.X,-a.X,0,0,1),a.J(Ie,Ie,[0,-a.X,0]),{u_matrix:Ie,u_image:1,u_dimension:[xe,xe],u_zoom:Cr.overscaledZ,u_unpack:ve.getUnpackVector()}})(w.tileID,ut),null,B.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Kc(ue,w,B,Q,ee,le){let Fe=Q.paint.get(\"raster-fade-duration\");if(!le&&Fe>0){let Ze=u.now(),ut=(Ze-ue.timeAdded)/Fe,Mt=w?(Ze-w.timeAdded)/Fe:-1,Jt=B.getSource(),$t=ee.coveringZoomLevel({tileSize:Jt.tileSize,roundZoom:Jt.roundZoom}),yr=!w||Math.abs(w.tileID.overscaledZ-$t)>Math.abs(ue.tileID.overscaledZ-$t),Cr=yr&&ue.refreshedUponExpiration?1:a.ac(yr?ut:1-Mt,0,1);return ue.refreshedUponExpiration&&ut>=1&&(ue.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Cr}:{opacity:Cr,mix:0}}return{opacity:1,mix:0}}let Rc=new a.aM(1,0,0,1),gs=new a.aM(0,1,0,1),Wf=new a.aM(0,0,1,1),Wh=new a.aM(1,0,1,1),rh=new a.aM(0,1,1,1);function lf(ue,w,B,Q){Mu(ue,0,w+B/2,ue.transform.width,B,Q)}function Sh(ue,w,B,Q){Mu(ue,w-B/2,0,B,ue.transform.height,Q)}function Mu(ue,w,B,Q,ee,le){let Fe=ue.context,Ze=Fe.gl;Ze.enable(Ze.SCISSOR_TEST),Ze.scissor(w*ue.pixelRatio,B*ue.pixelRatio,Q*ue.pixelRatio,ee*ue.pixelRatio),Fe.clear({color:le}),Ze.disable(Ze.SCISSOR_TEST)}function ih(ue,w,B){let Q=ue.context,ee=Q.gl,le=B.posMatrix,Fe=ue.useProgram(\"debug\"),Ze=Po.disabled,ut=Ko.disabled,Mt=ue.colorModeForRenderPass(),Jt=\"$debug\",$t=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let yr=w.getTileByID(B.key).latestRawTileData,Cr=Math.floor((yr&&yr.byteLength||0)/1024),ve=w.getTile(B).tileSize,xe=512/Math.min(ve,512)*(B.overscaledZ/ue.transform.zoom)*.5,Ie=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Ie+=` => ${B.overscaledZ}`),(function(ze,Qe){ze.initDebugOverlayCanvas();let Xe=ze.debugOverlayCanvas,nt=ze.context.gl,qt=ze.debugOverlayCanvas.getContext(\"2d\");qt.clearRect(0,0,Xe.width,Xe.height),qt.shadowColor=\"white\",qt.shadowBlur=2,qt.lineWidth=1.5,qt.strokeStyle=\"white\",qt.textBaseline=\"top\",qt.font=\"bold 36px Open Sans, sans-serif\",qt.fillText(Qe,5,5),qt.strokeText(Qe,5,5),ze.debugOverlayTexture.update(Xe),ze.debugOverlayTexture.bind(nt.LINEAR,nt.CLAMP_TO_EDGE)})(ue,`${Ie} ${Cr}kB`),Fe.draw(Q,ee.TRIANGLES,Ze,ut,Os.alphaBlended,Pa.disabled,po(le,a.aM.transparent,xe),null,Jt,ue.debugBuffer,ue.quadTriangleIndexBuffer,ue.debugSegments),Fe.draw(Q,ee.LINE_STRIP,Ze,ut,Mt,Pa.disabled,po(le,a.aM.red),$t,Jt,ue.debugBuffer,ue.tileBorderIndexBuffer,ue.debugSegments)}function js(ue,w,B){let Q=ue.context,ee=Q.gl,le=ue.colorModeForRenderPass(),Fe=new Po(ee.LEQUAL,Po.ReadWrite,ue.depthRangeFor3D),Ze=ue.useProgram(\"terrain\"),ut=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,ue.width,ue.height]);for(let Mt of B){let Jt=ue.renderToTexture.getTexture(Mt),$t=w.getTerrainData(Mt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Jt.texture);let yr=ue.transform.calculatePosMatrix(Mt.tileID.toUnwrapped()),Cr=w.getMeshFrameDelta(ue.transform.zoom),ve=ue.transform.calculateFogMatrix(Mt.tileID.toUnwrapped()),xe=Jr(yr,Cr,ve,ue.style.sky,ue.transform.pitch);Ze.draw(Q,ee.TRIANGLES,Fe,Ko.disabled,le,Pa.backCCW,xe,$t,\"terrain\",ut.vertexBuffer,ut.indexBuffer,ut.segments)}}class Eu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Dc{constructor(w,B){this.context=new od(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=pt.maxUnderzooming+pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Xo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,vo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,vo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,ct.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let le=new a.aX;le.emplaceBack(0,0),le.emplaceBack(1,0),le.emplaceBack(0,1),le.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(le,vo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let Fe=new a.aZ;Fe.emplaceBack(0),Fe.emplaceBack(1),Fe.emplaceBack(3),Fe.emplaceBack(2),Fe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(Fe);let Ze=new a.aY;Ze.emplaceBack(0,1,2),Ze.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(Ze);let ut=this.context.gl;this.stencilClearMode=new Ko({func:ut.ALWAYS,mask:0},0,255,ut.ZERO,ut.ZERO,ut.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,Po.disabled,this.stencilClearMode,Os.disabled,Pa.disabled,Lo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Os.disabled),Q.setDepthMode(Po.disabled);let le=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let Fe of B){let Ze=this._tileClippingMaskIDs[Fe.key]=this.nextStencilID++,ut=this.style.map.terrain&&this.style.map.terrain.getTerrainData(Fe);le.draw(Q,ee.TRIANGLES,Po.disabled,new Ko({func:ee.ALWAYS,mask:0},Ze,255,ee.KEEP,ee.KEEP,ee.REPLACE),Os.disabled,Pa.disabled,Lo(Fe.posMatrix),ut,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new Ko({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new Ko({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort(((Fe,Ze)=>Ze.overscaledZ-Fe.overscaledZ)),ee=Q[Q.length-1].overscaledZ,le=Q[0].overscaledZ-ee+1;if(le>1){this.currentStencilSource=void 0,this.nextStencilID+le>256&&this.clearStencil();let Fe={};for(let Ze=0;Ze<le;Ze++)Fe[Ze+ee]=new Ko({func:B.GEQUAL,mask:255},Ze+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=le,[Fe,Q]}return[{[ee]:Ko.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new Os([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?Os.unblended:Os.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return Po.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new Po(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,le={},Fe={},Ze={};for(let ut in ee){let Mt=ee[ut];Mt.used&&Mt.prepare(this.context),le[ut]=Mt.getVisibleCoordinates(),Fe[ut]=le[ut].slice().reverse(),Ze[ut]=Mt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let ut=0;ut<Q.length;ut++)if(this.style._layers[Q[ut]].is3D()){this.opaquePassCutoff=ut;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let ut of Q){let Mt=this.style._layers[ut];if(!Mt.hasOffscreenPass()||Mt.isHidden(this.transform.zoom))continue;let Jt=Fe[Mt.source];(Mt.type===\"custom\"||Jt.length)&&this.renderLayer(this,ee[Mt.source],Mt,Jt)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&(function(ut,Mt){let Jt=ut.context,$t=Jt.gl,yr=((ze,Qe,Xe)=>({u_sky_color:ze.properties.get(\"sky-color\"),u_horizon_color:ze.properties.get(\"horizon-color\"),u_horizon:(Qe.height/2+Qe.getHorizon())*Xe,u_sky_horizon_blend:ze.properties.get(\"sky-horizon-blend\")*Qe.height/2*Xe}))(Mt,ut.style.map.transform,ut.pixelRatio),Cr=new Po($t.LEQUAL,Po.ReadWrite,[0,1]),ve=Ko.disabled,xe=ut.colorModeForRenderPass(),Ie=ut.useProgram(\"sky\");if(!Mt.mesh){let ze=new a.aX;ze.emplaceBack(-1,-1),ze.emplaceBack(1,-1),ze.emplaceBack(1,1),ze.emplaceBack(-1,1);let Qe=new a.aY;Qe.emplaceBack(0,1,2),Qe.emplaceBack(0,2,3),Mt.mesh=new Eu(Jt.createVertexBuffer(ze,vo.members),Jt.createIndexBuffer(Qe),a.a0.simpleSegment(0,0,ze.length,Qe.length))}Ie.draw(Jt,$t.TRIANGLES,Cr,ve,xe,Pa.disabled,yr,void 0,\"sky\",Mt.mesh.vertexBuffer,Mt.mesh.indexBuffer,Mt.mesh.segments)})(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let ut=this.style._layers[Q[this.currentLayer]],Mt=ee[ut.source],Jt=le[ut.source];this._renderTileClippingMasks(ut,Jt),this.renderLayer(this,Mt,ut,Jt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let ut=this.style._layers[Q[this.currentLayer]],Mt=ee[ut.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(ut))continue;let Jt=(ut.type===\"symbol\"?Ze:Fe)[ut.source];this._renderTileClippingMasks(ut,le[ut.source]),this.renderLayer(this,Mt,ut,Jt)}if(this.options.showTileBoundaries){let ut=(function(Mt,Jt){let $t=null,yr=Object.values(Mt._layers).flatMap((Ie=>Ie.source&&!Ie.isHidden(Jt)?[Mt.sourceCaches[Ie.source]]:[])),Cr=yr.filter((Ie=>Ie.getSource().type===\"vector\")),ve=yr.filter((Ie=>Ie.getSource().type!==\"vector\")),xe=Ie=>{(!$t||$t.getSource().maxzoom<Ie.getSource().maxzoom)&&($t=Ie)};return Cr.forEach((Ie=>xe(Ie))),$t||ve.forEach((Ie=>xe(Ie))),$t})(this.style,this.transform.zoom);ut&&(function(Mt,Jt,$t){for(let yr=0;yr<$t.length;yr++)ih(Mt,Jt,$t[yr])})(this,ut,ut.getVisibleCoordinates())}this.options.showPadding&&(function(ut){let Mt=ut.transform.padding;lf(ut,ut.transform.height-(Mt.top||0),3,Rc),lf(ut,Mt.bottom||0,3,gs),Sh(ut,Mt.left||0,3,Wf),Sh(ut,ut.transform.width-(Mt.right||0),3,Wh);let Jt=ut.transform.centerPoint;(function($t,yr,Cr,ve){Mu($t,yr-1,Cr-10,2,20,ve),Mu($t,yr-10,Cr-1,20,2,ve)})(ut,Jt.x,ut.transform.height-Jt.y,rh)})(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,(function(le,Fe){let Ze=le.context,ut=Ze.gl,Mt=Os.unblended,Jt=new Po(ut.LEQUAL,Po.ReadWrite,[0,1]),$t=Fe.getTerrainMesh(),yr=Fe.sourceCache.getRenderableTiles(),Cr=le.useProgram(\"terrainDepth\");Ze.bindFramebuffer.set(Fe.getFramebuffer(\"depth\").framebuffer),Ze.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Ze.clear({color:a.aM.transparent,depth:1});for(let ve of yr){let xe=Fe.getTerrainData(ve.tileID),Ie={u_matrix:le.transform.calculatePosMatrix(ve.tileID.toUnwrapped()),u_ele_delta:Fe.getMeshFrameDelta(le.transform.zoom)};Cr.draw(Ze,ut.TRIANGLES,Jt,Ko.disabled,Mt,Pa.backCCW,Ie,xe,\"terrain\",$t.vertexBuffer,$t.indexBuffer,$t.segments)}Ze.bindFramebuffer.set(null),Ze.viewport.set([0,0,le.width,le.height])})(this,this.style.map.terrain),(function(le,Fe){let Ze=le.context,ut=Ze.gl,Mt=Os.unblended,Jt=new Po(ut.LEQUAL,Po.ReadWrite,[0,1]),$t=Fe.getTerrainMesh(),yr=Fe.getCoordsTexture(),Cr=Fe.sourceCache.getRenderableTiles(),ve=le.useProgram(\"terrainCoords\");Ze.bindFramebuffer.set(Fe.getFramebuffer(\"coords\").framebuffer),Ze.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Ze.clear({color:a.aM.transparent,depth:1}),Fe.coordsIndex=[];for(let xe of Cr){let Ie=Fe.getTerrainData(xe.tileID);Ze.activeTexture.set(ut.TEXTURE0),ut.bindTexture(ut.TEXTURE_2D,yr.texture);let ze={u_matrix:le.transform.calculatePosMatrix(xe.tileID.toUnwrapped()),u_terrain_coords_id:(255-Fe.coordsIndex.length)/255,u_texture:0,u_ele_delta:Fe.getMeshFrameDelta(le.transform.zoom)};ve.draw(Ze,ut.TRIANGLES,Jt,Ko.disabled,Mt,Pa.backCCW,ze,Ie,\"terrain\",$t.vertexBuffer,$t.indexBuffer,$t.segments),Fe.coordsIndex.push(xe.tileID.key)}Ze.bindFramebuffer.set(null),Ze.viewport.set([0,0,le.width,le.height])})(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(le,Fe,Ze,ut,Mt){if(le.renderPass!==\"translucent\")return;let Jt=Ko.disabled,$t=le.colorModeForRenderPass();(Ze._unevaluatedLayout.hasValue(\"text-variable-anchor\")||Ze._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&(function(yr,Cr,ve,xe,Ie,ze,Qe,Xe,nt){let qt=Cr.transform,Wt=yn(),nr=Ie===\"map\",fr=ze===\"map\";for(let br of yr){let Fr=xe.getTile(br),Hr=Fr.getBucket(ve);if(!Hr||!Hr.text||!Hr.text.segments.get().length)continue;let ri=a.ag(Hr.textSizeData,qt.zoom),Ci=Fn(Fr,1,Cr.transform.zoom),cn=qr(br.posMatrix,fr,nr,Cr.transform,Ci),sn=ve.layout.get(\"icon-text-fit\")!==\"none\"&&Hr.hasIconData();if(ri){let Ln=Math.pow(2,qt.zoom-Fr.tileID.overscaledZ),Kn=Cr.style.map.terrain?(fa,$a)=>Cr.style.map.terrain.getElevation(br,fa,$a):null,Aa=Wt.translatePosition(qt,Fr,Qe,Xe);yf(Hr,nr,fr,nt,qt,cn,br.posMatrix,Ln,ri,sn,Wt,Aa,br.toUnwrapped(),Kn)}}})(ut,le,Ze,Fe,Ze.layout.get(\"text-rotation-alignment\"),Ze.layout.get(\"text-pitch-alignment\"),Ze.paint.get(\"text-translate\"),Ze.paint.get(\"text-translate-anchor\"),Mt),Ze.paint.get(\"icon-opacity\").constantOr(1)!==0&&Ah(le,Fe,Ze,ut,!1,Ze.paint.get(\"icon-translate\"),Ze.paint.get(\"icon-translate-anchor\"),Ze.layout.get(\"icon-rotation-alignment\"),Ze.layout.get(\"icon-pitch-alignment\"),Ze.layout.get(\"icon-keep-upright\"),Jt,$t),Ze.paint.get(\"text-opacity\").constantOr(1)!==0&&Ah(le,Fe,Ze,ut,!0,Ze.paint.get(\"text-translate\"),Ze.paint.get(\"text-translate-anchor\"),Ze.layout.get(\"text-rotation-alignment\"),Ze.layout.get(\"text-pitch-alignment\"),Ze.layout.get(\"text-keep-upright\"),Jt,$t),Fe.map.showCollisionBoxes&&(Hu(le,Fe,Ze,ut,!0),Hu(le,Fe,Ze,ut,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\")return;let Mt=Ze.paint.get(\"circle-opacity\"),Jt=Ze.paint.get(\"circle-stroke-width\"),$t=Ze.paint.get(\"circle-stroke-opacity\"),yr=!Ze.layout.get(\"circle-sort-key\").isConstant();if(Mt.constantOr(1)===0&&(Jt.constantOr(1)===0||$t.constantOr(1)===0))return;let Cr=le.context,ve=Cr.gl,xe=le.depthModeForSublayer(0,Po.ReadOnly),Ie=Ko.disabled,ze=le.colorModeForRenderPass(),Qe=[];for(let Xe=0;Xe<ut.length;Xe++){let nt=ut[Xe],qt=Fe.getTile(nt),Wt=qt.getBucket(Ze);if(!Wt)continue;let nr=Wt.programConfigurations.get(Ze.id),fr=le.useProgram(\"circle\",nr),br=Wt.layoutVertexBuffer,Fr=Wt.indexBuffer,Hr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(nt),ri={programConfiguration:nr,program:fr,layoutVertexBuffer:br,indexBuffer:Fr,uniformValues:_o(le,nt,qt,Ze),terrainData:Hr};if(yr){let Ci=Wt.segments.get();for(let cn of Ci)Qe.push({segments:new a.a0([cn]),sortKey:cn.sortKey,state:ri})}else Qe.push({segments:Wt.segments,sortKey:0,state:ri})}yr&&Qe.sort(((Xe,nt)=>Xe.sortKey-nt.sortKey));for(let Xe of Qe){let{programConfiguration:nt,program:qt,layoutVertexBuffer:Wt,indexBuffer:nr,uniformValues:fr,terrainData:br}=Xe.state;qt.draw(Cr,ve.TRIANGLES,xe,Ie,ze,Pa.disabled,fr,br,Ze.id,Wt,nr,Xe.segments,Ze.paint,le.transform.zoom,nt)}})(w,B,Q,ee);break;case\"heatmap\":(function(le,Fe,Ze,ut){if(Ze.paint.get(\"heatmap-opacity\")===0)return;let Mt=le.context;if(le.style.map.terrain){for(let Jt of ut){let $t=Fe.getTile(Jt);Fe.hasRenderableParent(Jt)||(le.renderPass===\"offscreen\"?_f(le,$t,Ze,Jt):le.renderPass===\"translucent\"&&Yc(le,Ze,Jt))}Mt.viewport.set([0,0,le.width,le.height])}else le.renderPass===\"offscreen\"?(function(Jt,$t,yr,Cr){let ve=Jt.context,xe=ve.gl,Ie=Ko.disabled,ze=new Os([xe.ONE,xe.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(Qe,Xe,nt){let qt=Qe.gl;Qe.activeTexture.set(qt.TEXTURE1),Qe.viewport.set([0,0,Xe.width/4,Xe.height/4]);let Wt=nt.heatmapFbos.get(a.aU);Wt?(qt.bindTexture(qt.TEXTURE_2D,Wt.colorAttachment.get()),Qe.bindFramebuffer.set(Wt.framebuffer)):(Wt=eh(Qe,Xe.width/4,Xe.height/4),nt.heatmapFbos.set(a.aU,Wt))})(ve,Jt,yr),ve.clear({color:a.aM.transparent});for(let Qe=0;Qe<Cr.length;Qe++){let Xe=Cr[Qe];if($t.hasRenderableParent(Xe))continue;let nt=$t.getTile(Xe),qt=nt.getBucket(yr);if(!qt)continue;let Wt=qt.programConfigurations.get(yr.id),nr=Jt.useProgram(\"heatmap\",Wt),{zoom:fr}=Jt.transform;nr.draw(ve,xe.TRIANGLES,Po.disabled,Ie,ze,Pa.disabled,ko(Xe.posMatrix,nt,fr,yr.paint.get(\"heatmap-intensity\")),null,yr.id,qt.layoutVertexBuffer,qt.indexBuffer,qt.segments,yr.paint,Jt.transform.zoom,Wt)}ve.viewport.set([0,0,Jt.width,Jt.height])})(le,Fe,Ze,ut):le.renderPass===\"translucent\"&&(function(Jt,$t){let yr=Jt.context,Cr=yr.gl;yr.setColorMode(Jt.colorModeForRenderPass());let ve=$t.heatmapFbos.get(a.aU);ve&&(yr.activeTexture.set(Cr.TEXTURE0),Cr.bindTexture(Cr.TEXTURE_2D,ve.colorAttachment.get()),yr.activeTexture.set(Cr.TEXTURE1),th(yr,$t).bind(Cr.LINEAR,Cr.CLAMP_TO_EDGE),Jt.useProgram(\"heatmapTexture\").draw(yr,Cr.TRIANGLES,Po.disabled,Ko.disabled,Jt.colorModeForRenderPass(),Pa.disabled,Ds(Jt,$t,0,1),null,$t.id,Jt.viewportBuffer,Jt.quadTriangleIndexBuffer,Jt.viewportSegments,$t.paint,Jt.transform.zoom))})(le,Ze)})(w,B,Q,ee);break;case\"line\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\")return;let Mt=Ze.paint.get(\"line-opacity\"),Jt=Ze.paint.get(\"line-width\");if(Mt.constantOr(1)===0||Jt.constantOr(1)===0)return;let $t=le.depthModeForSublayer(0,Po.ReadOnly),yr=le.colorModeForRenderPass(),Cr=Ze.paint.get(\"line-dasharray\"),ve=Ze.paint.get(\"line-pattern\"),xe=ve.constantOr(1),Ie=Ze.paint.get(\"line-gradient\"),ze=Ze.getCrossfadeParameters(),Qe=xe?\"linePattern\":Cr?\"lineSDF\":Ie?\"lineGradient\":\"line\",Xe=le.context,nt=Xe.gl,qt=!0;for(let Wt of ut){let nr=Fe.getTile(Wt);if(xe&&!nr.patternsLoaded())continue;let fr=nr.getBucket(Ze);if(!fr)continue;let br=fr.programConfigurations.get(Ze.id),Fr=le.context.program.get(),Hr=le.useProgram(Qe,br),ri=qt||Hr.program!==Fr,Ci=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Wt),cn=ve.constantOr(null);if(cn&&nr.imageAtlas){let Kn=nr.imageAtlas,Aa=Kn.patternPositions[cn.to.toString()],fa=Kn.patternPositions[cn.from.toString()];Aa&&fa&&br.setConstantPatternPositions(Aa,fa)}let sn=Ci?Wt:null,Ln=xe?Fl(le,nr,Ze,ze,sn):Cr?us(le,nr,Ze,Cr,ze,sn):Ie?ul(le,nr,Ze,fr.lineClipsArray.length,sn):ll(le,nr,Ze,sn);if(xe)Xe.activeTexture.set(nt.TEXTURE0),nr.imageAtlasTexture.bind(nt.LINEAR,nt.CLAMP_TO_EDGE),br.updatePaintBuffers(ze);else if(Cr&&(ri||le.lineAtlas.dirty))Xe.activeTexture.set(nt.TEXTURE0),le.lineAtlas.bind(Xe);else if(Ie){let Kn=fr.gradients[Ze.id],Aa=Kn.texture;if(Ze.gradientVersion!==Kn.version){let fa=256;if(Ze.stepInterpolant){let $a=Fe.getSource().maxzoom,Co=Wt.canonical.z===$a?Math.ceil(1<<le.transform.maxZoom-Wt.canonical.z):1;fa=a.ac(a.aV(fr.maxLineLength/a.X*1024*Co),256,Xe.maxTextureSize)}Kn.gradient=a.aW({expression:Ze.gradientExpression(),evaluationKey:\"lineProgress\",resolution:fa,image:Kn.gradient||void 0,clips:fr.lineClipsArray}),Kn.texture?Kn.texture.update(Kn.gradient):Kn.texture=new g(Xe,Kn.gradient,nt.RGBA),Kn.version=Ze.gradientVersion,Aa=Kn.texture}Xe.activeTexture.set(nt.TEXTURE0),Aa.bind(Ze.stepInterpolant?nt.NEAREST:nt.LINEAR,nt.CLAMP_TO_EDGE)}Hr.draw(Xe,nt.TRIANGLES,$t,le.stencilModeForClipping(Wt),yr,Pa.disabled,Ln,Ci,Ze.id,fr.layoutVertexBuffer,fr.indexBuffer,fr.segments,Ze.paint,le.transform.zoom,br,fr.layoutVertexBuffer2),qt=!1}})(w,B,Q,ee);break;case\"fill\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"fill-color\"),Jt=Ze.paint.get(\"fill-opacity\");if(Jt.constantOr(1)===0)return;let $t=le.colorModeForRenderPass(),yr=Ze.paint.get(\"fill-pattern\"),Cr=le.opaquePassEnabledForLayer()&&!yr.constantOr(1)&&Mt.constantOr(a.aM.transparent).a===1&&Jt.constantOr(0)===1?\"opaque\":\"translucent\";if(le.renderPass===Cr){let ve=le.depthModeForSublayer(1,le.renderPass===\"opaque\"?Po.ReadWrite:Po.ReadOnly);jf(le,Fe,Ze,ut,ve,$t,!1)}if(le.renderPass===\"translucent\"&&Ze.paint.get(\"fill-antialias\")){let ve=le.depthModeForSublayer(Ze.getPaintProperty(\"fill-outline-color\")?2:0,Po.ReadOnly);jf(le,Fe,Ze,ut,ve,$t,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"fill-extrusion-opacity\");if(Mt!==0&&le.renderPass===\"translucent\"){let Jt=new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D);if(Mt!==1||Ze.paint.get(\"fill-extrusion-pattern\").constantOr(1))cc(le,Fe,Ze,ut,Jt,Ko.disabled,Os.disabled),cc(le,Fe,Ze,ut,Jt,le.stencilModeFor3D(),le.colorModeForRenderPass());else{let $t=le.colorModeForRenderPass();cc(le,Fe,Ze,ut,Jt,Ko.disabled,$t)}}})(w,B,Q,ee);break;case\"hillshade\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"offscreen\"&&le.renderPass!==\"translucent\")return;let Mt=le.context,Jt=le.depthModeForSublayer(0,Po.ReadOnly),$t=le.colorModeForRenderPass(),[yr,Cr]=le.renderPass===\"translucent\"?le.stencilConfigForOverlap(ut):[{},ut];for(let ve of Cr){let xe=Fe.getTile(ve);xe.needsHillshadePrepare!==void 0&&xe.needsHillshadePrepare&&le.renderPass===\"offscreen\"?Bl(le,xe,Ze,Jt,Ko.disabled,$t):le.renderPass===\"translucent\"&&sf(le,ve,xe,Ze,Jt,yr[ve.overscaledZ],$t)}Mt.viewport.set([0,0,le.width,le.height])})(w,B,Q,ee);break;case\"raster\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\"||Ze.paint.get(\"raster-opacity\")===0||!ut.length)return;let Mt=le.context,Jt=Mt.gl,$t=Fe.getSource(),yr=le.useProgram(\"raster\"),Cr=le.colorModeForRenderPass(),[ve,xe]=$t instanceof ar?[{},ut]:le.stencilConfigForOverlap(ut),Ie=xe[xe.length-1].overscaledZ,ze=!le.options.moving;for(let Qe of xe){let Xe=le.depthModeForSublayer(Qe.overscaledZ-Ie,Ze.paint.get(\"raster-opacity\")===1?Po.ReadWrite:Po.ReadOnly,Jt.LESS),nt=Fe.getTile(Qe);nt.registerFadeDuration(Ze.paint.get(\"raster-fade-duration\"));let qt=Fe.findLoadedParent(Qe,0),Wt=Fe.findLoadedSibling(Qe),nr=Kc(nt,qt||Wt||null,Fe,Ze,le.transform,le.style.map.terrain),fr,br,Fr=Ze.paint.get(\"raster-resampling\")===\"nearest\"?Jt.NEAREST:Jt.LINEAR;Mt.activeTexture.set(Jt.TEXTURE0),nt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),Mt.activeTexture.set(Jt.TEXTURE1),qt?(qt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),fr=Math.pow(2,qt.tileID.overscaledZ-nt.tileID.overscaledZ),br=[nt.tileID.canonical.x*fr%1,nt.tileID.canonical.y*fr%1]):nt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),nt.texture.useMipmap&&Mt.extTextureFilterAnisotropic&&le.transform.pitch>20&&Jt.texParameterf(Jt.TEXTURE_2D,Mt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,Mt.extTextureFilterAnisotropicMax);let Hr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Qe),ri=Hr?Qe:null,Ci=ri?ri.posMatrix:le.transform.calculatePosMatrix(Qe.toUnwrapped(),ze),cn=cl(Ci,br||[0,0],fr||1,nr,Ze);$t instanceof ar?yr.draw(Mt,Jt.TRIANGLES,Xe,Ko.disabled,Cr,Pa.disabled,cn,Hr,Ze.id,$t.boundsBuffer,le.quadTriangleIndexBuffer,$t.boundsSegments):yr.draw(Mt,Jt.TRIANGLES,Xe,ve[Qe.overscaledZ],Cr,Pa.disabled,cn,Hr,Ze.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"background-color\"),Jt=Ze.paint.get(\"background-opacity\");if(Jt===0)return;let $t=le.context,yr=$t.gl,Cr=le.transform,ve=Cr.tileSize,xe=Ze.paint.get(\"background-pattern\");if(le.isPatternMissing(xe))return;let Ie=!xe&&Mt.a===1&&Jt===1&&le.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(le.renderPass!==Ie)return;let ze=Ko.disabled,Qe=le.depthModeForSublayer(0,Ie===\"opaque\"?Po.ReadWrite:Po.ReadOnly),Xe=le.colorModeForRenderPass(),nt=le.useProgram(xe?\"backgroundPattern\":\"background\"),qt=ut||Cr.coveringTiles({tileSize:ve,terrain:le.style.map.terrain});xe&&($t.activeTexture.set(yr.TEXTURE0),le.imageManager.bind(le.context));let Wt=Ze.getCrossfadeParameters();for(let nr of qt){let fr=ut?nr.posMatrix:le.transform.calculatePosMatrix(nr.toUnwrapped()),br=xe?Su(fr,Jt,le,xe,{tileID:nr,tileSize:ve},Wt):Yl(fr,Jt,Mt),Fr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(nr);nt.draw($t,yr.TRIANGLES,Qe,ze,Xe,Pa.disabled,br,Fr,Ze.id,le.tileExtentBuffer,le.quadTriangleIndexBuffer,le.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(le,Fe,Ze){let ut=le.context,Mt=Ze.implementation;if(le.renderPass===\"offscreen\"){let Jt=Mt.prerender;Jt&&(le.setCustomLayerDefaults(),ut.setColorMode(le.colorModeForRenderPass()),Jt.call(Mt,ut.gl,le.transform.customLayerMatrix()),ut.setDirty(),le.setBaseState())}else if(le.renderPass===\"translucent\"){le.setCustomLayerDefaults(),ut.setColorMode(le.colorModeForRenderPass()),ut.setStencilMode(Ko.disabled);let Jt=Mt.renderingMode===\"3d\"?new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D):le.depthModeForSublayer(0,Po.ReadOnly);ut.setDepthMode(Jt),Mt.render(ut.gl,le.transform.customLayerMatrix(),{farZ:le.transform.farZ,nearZ:le.transform.nearZ,fov:le.transform._fov,modelViewProjectionMatrix:le.transform.modelViewProjectionMatrix,projectionMatrix:le.transform.projectionMatrix}),ut.setDirty(),le.setBaseState(),ut.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,le){if(!Q[0]&&!Q[1])return w;let Fe=le?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(Fe){let Mt=Math.sin(Fe),Jt=Math.cos(Fe);Q=[Q[0]*Jt-Q[1]*Mt,Q[0]*Mt+Q[1]*Jt]}let Ze=[le?Q[0]:Fn(B,Q[0],this.transform.zoom),le?Q[1]:Fn(B,Q[1],this.transform.zoom),0],ut=new Float32Array(16);return a.J(ut,w,Ze),ut}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new hn(this.context,Gn[w],B,nc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new g(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class ks{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),le=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((Ze=>{let ut=1/(Ze=a.af([],Ze,w))[3]/B*ee;return a.b1(Ze,Ze,[ut,ut,1/Ze[3],ut])})),Fe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((Ze=>{let ut=(function(yr,Cr){var ve=Cr[0],xe=Cr[1],Ie=Cr[2],ze=ve*ve+xe*xe+Ie*Ie;return ze>0&&(ze=1/Math.sqrt(ze)),yr[0]=Cr[0]*ze,yr[1]=Cr[1]*ze,yr[2]=Cr[2]*ze,yr})([],(function(yr,Cr,ve){var xe=Cr[0],Ie=Cr[1],ze=Cr[2],Qe=ve[0],Xe=ve[1],nt=ve[2];return yr[0]=Ie*nt-ze*Xe,yr[1]=ze*Qe-xe*nt,yr[2]=xe*Xe-Ie*Qe,yr})([],L([],le[Ze[0]],le[Ze[1]]),L([],le[Ze[2]],le[Ze[1]]))),Mt=-((Jt=ut)[0]*($t=le[Ze[1]])[0]+Jt[1]*$t[1]+Jt[2]*$t[2]);var Jt,$t;return ut.concat(Mt)}));return new ks(le,Fe)}}class bc{constructor(w,B){this.min=w,this.max=B,this.center=(function(Q,ee,le){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q})([],(function(Q,ee,le){return Q[0]=ee[0]+le[0],Q[1]=ee[1]+le[1],Q[2]=ee[2]+le[2],Q})([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=M(this.min),ee=M(this.max);for(let le=0;le<B.length;le++)Q[le]=B[le]?this.min[le]:this.center[le],ee[le]=B[le]?this.center[le]:this.max[le];return ee[2]=this.max[2],new bc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let le=w.planes[ee],Fe=0;for(let Ze=0;Ze<B.length;Ze++)a.b2(le,B[Ze])>=0&&Fe++;if(Fe===0)return 0;Fe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let le=Number.MAX_VALUE,Fe=-Number.MAX_VALUE;for(let Ze=0;Ze<w.points.length;Ze++){let ut=w.points[Ze][ee]-this.min[ee];le=Math.min(le,ut),Fe=Math.max(Fe,ut)}if(Fe<0||le>this.max[ee]-this.min[ee])return 0}return 1}}class hu{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new hu(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let _u=85.051129;class il{constructor(w,B,Q,ee,le){this.tileSize=512,this._renderWorldCopies=le===void 0||!!le,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new hu,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new il(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=(function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q})(),(function(Q,ee,le){var Fe=ee[0],Ze=ee[1],ut=ee[2],Mt=ee[3],Jt=Math.sin(le),$t=Math.cos(le);Q[0]=Fe*$t+ut*Jt,Q[1]=Ze*$t+Mt*Jt,Q[2]=Fe*-Jt+ut*$t,Q[3]=Ze*-Jt+Mt*$t})(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),le=this.pointCoordinate(new a.P(this.width,this.height)),Fe=this.pointCoordinate(new a.P(0,this.height)),Ze=Math.floor(Math.min(Q.x,ee.x,le.x,Fe.x)),ut=Math.floor(Math.max(Q.x,ee.x,le.x,Fe.x)),Mt=1;for(let Jt=Ze-Mt;Jt<=ut+Mt;Jt++)Jt!==0&&B.push(new a.b4(Jt,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),le=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let Fe=this.pointCoordinate(this.getCameraPoint()),Ze=a.Z.fromLngLat(this.center),ut=Math.pow(2,ee),Mt=[ut*Fe.x,ut*Fe.y,0],Jt=[ut*Ze.x,ut*Ze.y,0],$t=ks.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),yr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(yr=ee);let Cr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,ve=Xe=>({aabb:new bc([Xe*ut,0,0],[(Xe+1)*ut,ut,0]),zoom:0,x:0,y:0,wrap:Xe,fullyVisible:!1}),xe=[],Ie=[],ze=ee,Qe=w.reparseOverscaled?le:ee;if(this._renderWorldCopies)for(let Xe=1;Xe<=3;Xe++)xe.push(ve(-Xe)),xe.push(ve(Xe));for(xe.push(ve(0));xe.length>0;){let Xe=xe.pop(),nt=Xe.x,qt=Xe.y,Wt=Xe.fullyVisible;if(!Wt){let Hr=Xe.aabb.intersects($t);if(Hr===0)continue;Wt=Hr===2}let nr=w.terrain?Mt:Jt,fr=Xe.aabb.distanceX(nr),br=Xe.aabb.distanceY(nr),Fr=Math.max(Math.abs(fr),Math.abs(br));if(Xe.zoom===ze||Fr>Cr+(1<<ze-Xe.zoom)-2&&Xe.zoom>=yr){let Hr=ze-Xe.zoom,ri=Mt[0]-.5-(nt<<Hr),Ci=Mt[1]-.5-(qt<<Hr);Ie.push({tileID:new a.S(Xe.zoom===ze?Qe:Xe.zoom,Xe.wrap,Xe.zoom,nt,qt),distanceSq:x([Jt[0]-.5-nt,Jt[1]-.5-qt]),tileDistanceToCamera:Math.sqrt(ri*ri+Ci*Ci)})}else for(let Hr=0;Hr<4;Hr++){let ri=(nt<<1)+Hr%2,Ci=(qt<<1)+(Hr>>1),cn=Xe.zoom+1,sn=Xe.aabb.quadrant(Hr);if(w.terrain){let Ln=new a.S(cn,Xe.wrap,cn,ri,Ci),Kn=w.terrain.getMinMaxElevation(Ln),Aa=(B=Kn.minElevation)!==null&&B!==void 0?B:this.elevation,fa=(Q=Kn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;sn=new bc([sn.min[0],sn.min[1],Aa],[sn.max[0],sn.max[1],fa])}xe.push({aabb:sn,zoom:cn,x:ri,y:Ci,wrap:Xe.wrap,fullyVisible:Wt})}}return Ie.sort(((Xe,nt)=>Xe.distanceSq-nt.distanceSq)).map((Xe=>Xe.tileID))}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,_u);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),le=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-le))return;let Fe=Q+B-le,Ze=Math.cos(this._pitch)*this.cameraToCenterDistance/Fe/a.b5(1,ee.lat),ut=this.scaleZoom(Ze/this.tileSize);this._elevation=le,this._center=ee,this.zoom=ut}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),le=this.locationCoordinate(w),Fe=new a.Z(le.x-(Q.x-ee.x),le.y-(Q.y-ee.y));this.center=this.coordinateLocation(Fe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let yr=B.pointCoordinate(w);if(yr!=null)return yr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let le=Q[3],Fe=ee[3],Ze=Q[1]/le,ut=ee[1]/Fe,Mt=Q[2]/le,Jt=ee[2]/Fe,$t=Mt===Jt?0:(0-Mt)/(Jt-Mt);return new a.Z(a.y.number(Q[0]/le,ee[0]/Fe,$t)/this.worldSize,a.y.number(Ze,ut,$t)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,_u])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,le=a.an(new Float64Array(16));return a.J(le,le,[ee*Q,B.y*Q,0]),a.K(le,le,[Q/a.X,Q/a.X,1]),le}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let le=this.calculateTileMatrix(w);return a.L(le,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,le),ee[Q]=new Float32Array(le),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let Xe=179.9999999999;ee=[-Xe,Xe]}let le=this.tileSize*this.zoomScale(Q.zoom),Fe=0,Ze=le,ut=0,Mt=le,Jt=0,$t=0,{x:yr,y:Cr}=this.size;if(this.latRange){let Xe=this.latRange;Fe=a.Q(Xe[1])*le,Ze=a.Q(Xe[0])*le,Ze-Fe<Cr&&(Jt=Cr/(Ze-Fe))}ee&&(ut=a.b3(a.O(ee[0])*le,0,le),Mt=a.b3(a.O(ee[1])*le,0,le),Mt<ut&&(Mt+=le),Mt-ut<yr&&($t=yr/(Mt-ut)));let{x:ve,y:xe}=this.project.call({worldSize:le},w),Ie,ze,Qe=Math.max($t||0,Jt||0);if(Qe){let Xe=new a.P($t?(Mt+ut)/2:ve,Jt?(Ze+Fe)/2:xe);return Q.center=this.unproject.call({worldSize:le},Xe).wrap(),Q.zoom+=this.scaleZoom(Qe),Q}if(this.latRange){let Xe=Cr/2;xe-Xe<Fe&&(ze=Fe+Xe),xe+Xe>Ze&&(ze=Ze-Xe)}if(ee){let Xe=(ut+Mt)/2,nt=ve;this._renderWorldCopies&&(nt=a.b3(ve,Xe-le/2,Xe+le/2));let qt=yr/2;nt-qt<ut&&(Ie=ut+qt),nt+qt>Mt&&(Ie=Mt-qt)}if(Ie!==void 0||ze!==void 0){let Xe=new a.P(Ie!=null?Ie:ve,ze!=null?ze:xe);Q.center=this.unproject.call({worldSize:le},Xe).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let le=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),Fe=Math.min(this.elevation,this.minElevationForCurrentTile),Ze=le-Fe*this._pixelPerMeter/Math.cos(this._pitch),ut=Fe<0?Ze:le,Mt=Math.PI/2+this._pitch,Jt=this._fov*(.5+w.y/this.height),$t=Math.sin(Jt)*ut/Math.sin(a.ac(Math.PI-Mt-Jt,.01,Math.PI-.01)),yr=this.getHorizon(),Cr=2*Math.atan(yr/this.cameraToCenterDistance)*(.5+w.y/(2*yr)),ve=Math.sin(Cr)*ut/Math.sin(a.ac(Math.PI-Mt-Cr,.01,Math.PI-.01)),xe=Math.min($t,ve);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*xe+ut),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,le,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Ie=this.width%2/2,ze=this.height%2/2,Qe=Math.cos(this.angle),Xe=Math.sin(this.angle),nt=B-Math.round(B)+Qe*Ie+Xe*ze,qt=Q-Math.round(Q)+Qe*ze+Xe*Ie,Wt=new Float64Array(ee);if(a.J(Wt,Wt,[nt>.5?nt-1:nt,qt>.5?qt-1:qt,0]),this.alignedModelViewProjectionMatrix=Wt,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,le=B.x,Fe=B.y;for(let Ze of w)Q=Math.min(Q,Ze.x),ee=Math.min(ee,Ze.y),le=Math.max(le,Ze.x),Fe=Math.max(Fe,Ze.y);return[new a.P(Q,ee),new a.P(le,ee),new a.P(le,Fe),new a.P(Q,Fe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function nh(ue,w){let B,Q=!1,ee=null,le=null,Fe=()=>{ee=null,Q&&(ue.apply(le,B),ee=setTimeout(Fe,w),Q=!1)};return(...Ze)=>(Q=!0,le=this,B=Ze,ee||Fe(),ee)}class Mh{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map((ee=>ee.split(\"=\"))).forEach((ee=>{ee[0]===this._hashName&&(Q=ee)})),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some((Q=>isNaN(Q)))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let le=window.location.hash.replace(ee,\"\");le.startsWith(\"#&\")?le=le.slice(0,1)+le.slice(2):le===\"#\"&&(le=\"\");let Fe=window.location.href.replace(/(#.+)?$/,le);Fe=Fe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,Fe)},this._updateHash=nh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),le=Math.pow(10,ee),Fe=Math.round(B.lng*le)/le,Ze=Math.round(B.lat*le)/le,ut=this._map.getBearing(),Mt=this._map.getPitch(),Jt=\"\";if(Jt+=w?`/${Fe}/${Ze}/${Q}`:`${Q}/${Ze}/${Fe}`,(ut||Mt)&&(Jt+=\"/\"+Math.round(10*ut)/10),Mt&&(Jt+=`/${Math.round(Mt)}`),this._hashName){let $t=this._hashName,yr=!1,Cr=window.location.hash.slice(1).split(\"&\").map((ve=>{let xe=ve.split(\"=\")[0];return xe===$t?(yr=!0,`${xe}=${Jt}`):ve})).filter((ve=>ve));return yr||Cr.push(`${$t}=${Jt}`),`#${Cr.join(\"&\")}`}return`#${Jt}`}}let zu={linearity:.3,easing:a.b8(0,0,.3,1)},Fc=a.e({deceleration:2500,maxSpeed:1400},zu),wc=a.e({deceleration:20,maxSpeed:1400},zu),bd=a.e({deceleration:1e3,maxSpeed:360},zu),xf=a.e({deceleration:1e3,maxSpeed:90},zu);class Pf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:le}of this._inertiaBuffer)B.zoom+=le.zoomDelta||0,B.bearing+=le.bearingDelta||0,B.pitch+=le.pitchDelta||0,le.panDelta&&B.pan._add(le.panDelta),le.around&&(B.around=le.around),le.pinchAround&&(B.pinchAround=le.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let le=bf(B.pan.mag(),Q,a.e({},Fc,w||{}));ee.offset=B.pan.mult(le.amount/B.pan.mag()),ee.center=this._map.transform.center,qu(ee,le)}if(B.zoom){let le=bf(B.zoom,Q,wc);ee.zoom=this._map.transform.zoom+le.amount,qu(ee,le)}if(B.bearing){let le=bf(B.bearing,Q,bd);ee.bearing=this._map.transform.bearing+a.ac(le.amount,-179,179),qu(ee,le)}if(B.pitch){let le=bf(B.pitch,Q,xf);ee.pitch=this._map.transform.pitch+le.amount,qu(ee,le)}if(ee.zoom||ee.bearing){let le=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=le?this._map.unproject(le):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function qu(ue,w){(!ue.duration||ue.duration<w.duration)&&(ue.duration=w.duration,ue.easing=w.easing)}function bf(ue,w,B){let{maxSpeed:Q,linearity:ee,deceleration:le}=B,Fe=a.ac(ue*ee/(w/1e3),-Q,Q),Ze=Math.abs(Fe)/(le*ee);return{easing:B.easing,duration:1e3*Ze,amount:Fe*(Ze/2)}}class jl extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let le=c.mousePos(B.getCanvas(),Q),Fe=B.unproject(le);super(w,a.e({point:le,lngLat:Fe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class uf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,le=c.touchPos(B.getCanvasContainer(),ee),Fe=le.map((ut=>B.unproject(ut))),Ze=le.reduce(((ut,Mt,Jt,$t)=>ut.add(Mt.div($t.length))),new a.P(0,0));super(w,{points:le,point:Ze,lngLats:Fe,lngLat:B.unproject(Ze),originalEvent:Q}),this._defaultPrevented=!1}}class Xh extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class If{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new Xh(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new jl(w.type,this._map,w))}mouseup(w){this._map.fire(new jl(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new jl(w.type,this._map,w))}dblclick(w){return this._firePreventable(new jl(w.type,this._map,w))}mouseover(w){this._map.fire(new jl(w.type,this._map,w))}mouseout(w){this._map.fire(new jl(w.type,this._map,w))}touchstart(w){return this._firePreventable(new uf(w.type,this._map,w))}touchmove(w){this._map.fire(new uf(w.type,this._map,w))}touchend(w){this._map.fire(new uf(w.type,this._map,w))}touchcancel(w){this._map.fire(new uf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Cs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new jl(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new jl(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new jl(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class du{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class ku{constructor(w,B){this._map=w,this._tr=new du(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let le=Math.min(ee.x,Q.x),Fe=Math.max(ee.x,Q.x),Ze=Math.min(ee.y,Q.y),ut=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${le}px,${Ze}px)`),this._box.style.width=Fe-le+\"px\",this._box.style.height=ut-Ze+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:le=>le.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Xf(ue,w){if(ue.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${ue.length}, points ${w.length}`);let B={};for(let Q=0;Q<ue.length;Q++)B[ue[Q].identifier]=w[Q];return B}class Us{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=(function(ee){let le=new a.P(0,0);for(let Fe of ee)le._add(Fe);return le.div(ee.length)})(B),this.touches=Xf(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Xf(Q,B);for(let le in this.touches){let Fe=ee[le];(!Fe||Fe.dist(this.touches[le])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class wf{constructor(w){this.singleTap=new Us(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let le=w.timeStamp-this.lastTime<500,Fe=!this.lastTap||this.lastTap.dist(ee)<30;if(le&&Fe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class zc{constructor(w){this._tr=new du(w),this._zoomIn=new wf({numTouches:1,numTaps:2}),this._zoomOut=new wf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),le=this._zoomOut.touchend(w,B,Q),Fe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:Ze=>Ze.easeTo({duration:300,zoom:Fe.zoom+1,around:Fe.unproject(ee)},{originalEvent:w})}):le?(this._active=!0,w.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:Ze=>Ze.easeTo({duration:300,zoom:Fe.zoom-1,around:Fe.unproject(le)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Wu{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let Rf={0:1,2:2};class Xu{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!(function(B,Q){let ee=Rf[Q];return B.buttons===void 0||(B.buttons&ee)!==ee})(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class cf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Zf=ue=>{ue.mousedown=ue.dragStart,ue.mousemoveWindow=ue.dragMove,ue.mouseup=ue.dragEnd,ue.contextmenu=w=>{w.preventDefault()}},Wl=({enable:ue,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({bearingDelta:(le.x-ee.x)*B}),moveStateManager:Q,enable:ue,assignEvents:Zf})},ah=({enable:ue,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({pitchDelta:(le.y-ee.y)*B}),moveStateManager:Q,enable:ue,assignEvents:Zf})};class Zu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Xf(Q,B),le=new a.P(0,0),Fe=new a.P(0,0),Ze=0;for(let Mt in ee){let Jt=ee[Mt],$t=this._touches[Mt];$t&&(le._add(Jt),Fe._add(Jt.sub($t)),Ze++,ee[Mt]=Jt)}if(this._touches=ee,this._shouldBePrevented(Ze)||!Fe.mag())return;let ut=Fe.div(Ze);return this._sum._add(ut),this._sum.mag()<this._clickTolerance?void 0:{around:le.div(Ze),panDelta:ut}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class qc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,le]=this._firstTwoTouches,Fe=Tc(Q,B,ee),Ze=Tc(Q,B,le);if(!Fe||!Ze)return;let ut=this._aroundCenter?null:Fe.add(Ze).div(2);return this._move([Fe,Ze],ut,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,le]=this._firstTwoTouches,Fe=Tc(Q,B,ee),Ze=Tc(Q,B,le);Fe&&Ze||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function Tc(ue,w,B){for(let Q=0;Q<ue.length;Q++)if(ue[Q].identifier===B)return w[Q]}function Tl(ue,w){return Math.log(ue/w)/Math.LN2}class vu extends qc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(Tl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Tl(this._distance,Q),pinchAround:B}}}function Oc(ue,w){return 180*ue.angleWith(w)/Math.PI}class ff extends qc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Oc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=Oc(w,this._startVector);return Math.abs(Q)<B}}function fc(ue){return Math.abs(ue.y)>Math.abs(ue.x)}class Bc extends qc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,fc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),le=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,le,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+le.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,le=B.mag()>=2;if(!ee&&!le)return;if(!ee||!le)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let Fe=w.y>0==B.y>0;return fc(w)&&fc(B)&&Fe}}let kt={panStep:100,bearingStep:15,pitchStep:10};class Zt{constructor(w){this._tr=new du(w);let B=kt;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,le=0,Fe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),le=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),le=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),Fe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),Fe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:Ze=>{let ut=this._tr;Ze.easeTo({duration:300,easeId:\"keyboardHandler\",easing:Er,zoom:B?Math.round(ut.zoom)+B*(w.shiftKey?2:1):ut.zoom,bearing:ut.bearing+Q*this._bearingStep,pitch:ut.pitch+ee*this._pitchStep,offset:[-le*this._panStep,-Fe*this._panStep],center:ut.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function Er(ue){return ue*(2-ue)}let xr=4.000244140625;class Kr{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new du(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%xr==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let ut=this._type===\"wheel\"&&Math.abs(this._delta)>xr?this._wheelZoomRate:this._defaultZoomRate,Mt=2/(1+Math.exp(-Math.abs(this._delta*ut)));this._delta<0&&Mt!==0&&(Mt=1/Mt);let Jt=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Jt*Mt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,le,Fe=!1,Ze=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&Ze){let ut=Math.min(Ze/200,1),Mt=ee(ut);le=a.y.number(Q,B,Mt),ut<1?this._frameId||(this._frameId=!0):Fe=!0}else le=B,Fe=!0;return this._active=!0,Fe&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!Fe,zoomDelta:le-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,le=Q.easing(ee+.01)-Q.easing(ee),Fe=.27/Math.sqrt(le*le+1e-4)*.01,Ze=Math.sqrt(.0729-Fe*Fe);B=a.b8(Fe,Ze,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class Mi{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class Xi{constructor(w){this._tr=new du(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class dn{constructor(){this._tap=new wf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],le=w.timeStamp-this._tapTime<500,Fe=this._tapPoint.dist(ee)<30;le&&Fe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],le=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:le/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class wn{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class On{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Yi{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class $i{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let le=document.createElement(\"div\");le.className=\"maplibregl-mobile-message\",le.textContent=Q,this._container.appendChild(le),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}let an=ue=>ue.zoom||ue.drag||ue.pitch||ue.rotate;class Fi extends a.k{}function ta(ue){return ue.panDelta&&ue.panDelta.mag()||ue.zoomDelta||ue.bearingDelta||ue.pitchDelta}class Ca{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,le)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let Fe=ee.type===\"renderFrame\"?void 0:ee,Ze={needsRenderFrame:!1},ut={},Mt={},Jt=ee.touches,$t=Jt?this._getMapTouches(Jt):void 0,yr=$t?c.touchPos(this._map.getCanvas(),$t):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:xe,handler:Ie,allowed:ze}of this._handlers){if(!Ie.isEnabled())continue;let Qe;this._blockedByActive(Mt,ze,xe)?Ie.reset():Ie[le||ee.type]&&(Qe=Ie[le||ee.type](ee,yr,$t),this.mergeHandlerResult(Ze,ut,Qe,xe,Fe),Qe&&Qe.needsRenderFrame&&this._triggerRenderFrame()),(Qe||Ie.isActive())&&(Mt[xe]=Ie)}let Cr={};for(let xe in this._previousActiveHandlers)Mt[xe]||(Cr[xe]=Fe);this._previousActiveHandlers=Mt,(Object.keys(Cr).length||ta(Ze))&&(this._changes.push([Ze,ut,Cr]),this._triggerRenderFrame()),(Object.keys(Mt).length||ta(Ze))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:ve}=Ze;ve&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],ve(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Pf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,le,Fe]of this._listeners)c.addEventListener(ee,le,ee===document?this.handleWindowEvent:this.handleEvent,Fe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new If(B,w));let ee=B.boxZoom=new ku(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let le=B.cooperativeGestures=new $i(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",le),w.cooperativeGestures&&le.enable();let Fe=new zc(B),Ze=new Xi(B);B.doubleClickZoom=new Mi(Ze,Fe),this._add(\"tapZoom\",Fe),this._add(\"clickZoom\",Ze),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let ut=new dn;this._add(\"tapDragZoom\",ut);let Mt=B.touchPitch=new Bc(B);this._add(\"touchPitch\",Mt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Jt=Wl(w),$t=ah(w);B.dragRotate=new On(w,Jt,$t),this._add(\"mouseRotate\",Jt,[\"mousePitch\"]),this._add(\"mousePitch\",$t,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let yr=(({enable:Qe,clickTolerance:Xe})=>{let nt=new Xu({checkCorrectEvent:qt=>c.mouseButton(qt)===0&&!qt.ctrlKey});return new Wu({clickTolerance:Xe,move:(qt,Wt)=>({around:Wt,panDelta:Wt.sub(qt)}),activateOnStart:!0,moveStateManager:nt,enable:Qe,assignEvents:Zf})})(w),Cr=new Zu(w,B);B.dragPan=new wn(Q,yr,Cr),this._add(\"mousePan\",yr),this._add(\"touchPan\",Cr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let ve=new ff,xe=new vu;B.touchZoomRotate=new Yi(Q,xe,ve,ut),this._add(\"touchRotate\",ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",xe,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Ie=B.scrollZoom=new Kr(B,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",Ie,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let ze=B.keyboard=new Zt(B);this._add(\"keyboard\",ze),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Cs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!an(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,le){if(!Q)return;a.e(w,Q);let Fe={handlerName:ee,originalEvent:Q.originalEvent||le};Q.zoomDelta!==void 0&&(B.zoom=Fe),Q.panDelta!==void 0&&(B.drag=Fe),Q.pitchDelta!==void 0&&(B.pitch=Fe),Q.bearingDelta!==void 0&&(B.rotate=Fe)}_applyChanges(){let w={},B={},Q={};for(let[ee,le,Fe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,le),a.e(Q,Fe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,le=ee._getTransformForUpdate(),Fe=ee.terrain;if(!(ta(w)||Fe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:Ze,zoomDelta:ut,bearingDelta:Mt,pitchDelta:Jt,around:$t,pinchAround:yr}=w;yr!==void 0&&($t=yr),ee._stop(!0),$t=$t||ee.transform.centerPoint;let Cr=le.pointLocation(Ze?$t.sub(Ze):$t);Mt&&(le.bearing+=Mt),Jt&&(le.pitch+=Jt),ut&&(le.zoom+=ut),Fe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?le.center=le.pointLocation(le.centerPoint.sub(Ze)):le.setLocationAtPoint(Cr,$t):(this._terrainMovement=!0,this._map._elevationFreeze=!0,le.setLocationAtPoint(Cr,$t)):le.setLocationAtPoint(Cr,$t),ee._applyUpdatedTransform(le),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=an(this._eventsInProgress),le=an(w),Fe={};for(let $t in w){let{originalEvent:yr}=w[$t];this._eventsInProgress[$t]||(Fe[`${$t}start`]=yr),this._eventsInProgress[$t]=w[$t]}!ee&&le&&this._fireEvent(\"movestart\",le.originalEvent);for(let $t in Fe)this._fireEvent($t,Fe[$t]);le&&this._fireEvent(\"move\",le.originalEvent);for(let $t in w){let{originalEvent:yr}=w[$t];this._fireEvent($t,yr)}let Ze={},ut;for(let $t in this._eventsInProgress){let{handlerName:yr,originalEvent:Cr}=this._eventsInProgress[$t];this._handlersById[yr].isActive()||(delete this._eventsInProgress[$t],ut=B[yr]||Cr,Ze[`${$t}end`]=ut)}for(let $t in Ze)this._fireEvent($t,Ze[$t]);let Mt=an(this._eventsInProgress),Jt=(ee||le)&&!Mt;if(Jt&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let $t=this._map._getTransformForUpdate();$t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform($t)}if(Q&&Jt){this._updatingCamera=!0;let $t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),yr=Cr=>Cr!==0&&-this._bearingSnap<Cr&&Cr<this._bearingSnap;!$t||!$t.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:ut})),yr(this._map.getBearing())&&this._map.resetNorth()):(yr($t.bearing||this._map.getBearing())&&($t.bearing=0),$t.freezeElevation=!0,this._map.easeTo($t,{originalEvent:ut})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((w=>{delete this._frameId,this.handleEvent(new Fi(\"renderFrame\",{timeStamp:w})),this._applyChanges()}))}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ra extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let le={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:le,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let Hr=ee.padding;ee.padding={top:Hr,bottom:Hr,right:Hr,left:Hr}}ee.padding=a.e(le,ee.padding);let Fe=this.transform,Ze=Fe.padding,ut=new ce(w,B),Mt=Fe.project(ut.getNorthWest()),Jt=Fe.project(ut.getNorthEast()),$t=Fe.project(ut.getSouthEast()),yr=Fe.project(ut.getSouthWest()),Cr=a.ba(-Q),ve=Mt.rotate(Cr),xe=Jt.rotate(Cr),Ie=$t.rotate(Cr),ze=yr.rotate(Cr),Qe=new a.P(Math.max(ve.x,xe.x,ze.x,Ie.x),Math.max(ve.y,xe.y,ze.y,Ie.y)),Xe=new a.P(Math.min(ve.x,xe.x,ze.x,Ie.x),Math.min(ve.y,xe.y,ze.y,Ie.y)),nt=Qe.sub(Xe),qt=(Fe.width-(Ze.left+Ze.right+ee.padding.left+ee.padding.right))/nt.x,Wt=(Fe.height-(Ze.top+Ze.bottom+ee.padding.top+ee.padding.bottom))/nt.y;if(Wt<0||qt<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let nr=Math.min(Fe.scaleZoom(Fe.scale*Math.min(qt,Wt)),ee.maxZoom),fr=a.P.convert(ee.offset),br=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Fr=fr.add(br).mult(Fe.scale/Fe.zoomScale(nr));return{center:Fe.unproject(Mt.add($t).div(2).sub(Fr)),zoom:nr,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,le){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,le)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,le=!1,Fe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(le=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(Fe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),le&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),Fe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let le=a.Z.fromLngLat(w,B),Fe=a.Z.fromLngLat(Q,ee),Ze=Fe.x-le.x,ut=Fe.y-le.y,Mt=Fe.z-le.z,Jt=Math.hypot(Ze,ut,Mt);if(Jt===0)throw new Error(\"Can't calculate camera options with same From and To\");let $t=Math.hypot(Ze,ut),yr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Jt/this.transform.tileSize),Cr=180*Math.atan2(Ze,-ut)/Math.PI,ve=180*Math.acos($t/Jt)/Math.PI;return ve=Mt<0?90-ve:90+ve,{center:Fe.toLngLat(),zoom:yr,pitch:ve,bearing:Cr}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),le=ee.zoom,Fe=ee.bearing,Ze=ee.pitch,ut=ee.padding,Mt=\"bearing\"in w?this._normalizeBearing(w.bearing,Fe):Fe,Jt=\"pitch\"in w?+w.pitch:Ze,$t=\"padding\"in w?w.padding:ee.padding,yr=a.P.convert(w.offset),Cr=ee.centerPoint.add(yr),ve=ee.pointLocation(Cr),{center:xe,zoom:Ie}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(xe,ee);let ze=ee.project(ve),Qe=ee.project(xe).sub(ze),Xe=ee.zoomScale(Ie-le),nt,qt;w.around&&(nt=a.N.convert(w.around),qt=ee.locationPoint(nt));let Wt={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Ie!==le,this._rotating=this._rotating||Fe!==Mt,this._pitching=this._pitching||Jt!==Ze,this._padding=!ee.isPaddingEqual($t),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Wt),this.terrain&&this._prepareElevation(xe),this._ease((nr=>{if(this._zooming&&(ee.zoom=a.y.number(le,Ie,nr)),this._rotating&&(ee.bearing=a.y.number(Fe,Mt,nr)),this._pitching&&(ee.pitch=a.y.number(Ze,Jt,nr)),this._padding&&(ee.interpolatePadding(ut,$t,nr),Cr=ee.centerPoint.add(yr)),this.terrain&&!w.freezeElevation&&this._updateElevation(nr),nt)ee.setLocationAtPoint(nt,qt);else{let fr=ee.zoomScale(ee.zoom-le),br=Ie>le?Math.min(2,Xe):Math.max(.5,Xe),Fr=Math.pow(br,1-nr),Hr=ee.unproject(ze.add(Qe.mult(nr*Fr)).mult(fr));ee.setLocationAtPoint(ee.renderWorldCopies?Hr.wrap():Hr,Cr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)}),(nr=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,nr)}),w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push((ee=>this._elevateCameraIfInsideTerrain(ee))),this.transformCameraUpdate&&B.push((ee=>this.transformCameraUpdate(ee))),!B.length)return;let Q=w.clone();for(let ee of B){let le=Q.clone(),{center:Fe,zoom:Ze,pitch:ut,bearing:Mt,elevation:Jt}=ee(le);Fe&&(le.center=Fe),Ze!==void 0&&(le.zoom=Ze),ut!==void 0&&(le.pitch=ut),Mt!==void 0&&(le.bearing=Mt),Jt!==void 0&&(le.elevation=Jt),Q.apply(le)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,le=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),le&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Ln=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Ln,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),le=ee.zoom,Fe=ee.bearing,Ze=ee.pitch,ut=ee.padding,Mt=\"bearing\"in w?this._normalizeBearing(w.bearing,Fe):Fe,Jt=\"pitch\"in w?+w.pitch:Ze,$t=\"padding\"in w?w.padding:ee.padding,yr=a.P.convert(w.offset),Cr=ee.centerPoint.add(yr),ve=ee.pointLocation(Cr),{center:xe,zoom:Ie}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(xe,ee);let ze=ee.zoomScale(Ie-le),Qe=ee.project(ve),Xe=ee.project(xe).sub(Qe),nt=w.curve,qt=Math.max(ee.width,ee.height),Wt=qt/ze,nr=Xe.mag();if(\"minZoom\"in w){let Ln=a.ac(Math.min(w.minZoom,le,Ie),ee.minZoom,ee.maxZoom),Kn=qt/ee.zoomScale(Ln-le);nt=Math.sqrt(Kn/nr*2)}let fr=nt*nt;function br(Ln){let Kn=(Wt*Wt-qt*qt+(Ln?-1:1)*fr*fr*nr*nr)/(2*(Ln?Wt:qt)*fr*nr);return Math.log(Math.sqrt(Kn*Kn+1)-Kn)}function Fr(Ln){return(Math.exp(Ln)-Math.exp(-Ln))/2}function Hr(Ln){return(Math.exp(Ln)+Math.exp(-Ln))/2}let ri=br(!1),Ci=function(Ln){return Hr(ri)/Hr(ri+nt*Ln)},cn=function(Ln){return qt*((Hr(ri)*(Fr(Kn=ri+nt*Ln)/Hr(Kn))-Fr(ri))/fr)/nr;var Kn},sn=(br(!0)-ri)/nt;if(Math.abs(nr)<1e-6||!isFinite(sn)){if(Math.abs(qt-Wt)<1e-6)return this.easeTo(w,B);let Ln=Wt<qt?-1:1;sn=Math.abs(Math.log(Wt/qt))/nt,cn=()=>0,Ci=Kn=>Math.exp(Ln*nt*Kn)}return w.duration=\"duration\"in w?+w.duration:1e3*sn/(\"screenSpeed\"in w?+w.screenSpeed/nt:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=Fe!==Mt,this._pitching=Jt!==Ze,this._padding=!ee.isPaddingEqual($t),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(xe),this._ease((Ln=>{let Kn=Ln*sn,Aa=1/Ci(Kn);ee.zoom=Ln===1?Ie:le+ee.scaleZoom(Aa),this._rotating&&(ee.bearing=a.y.number(Fe,Mt,Ln)),this._pitching&&(ee.pitch=a.y.number(Ze,Jt,Ln)),this._padding&&(ee.interpolatePadding(ut,$t,Ln),Cr=ee.centerPoint.add(yr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Ln);let fa=Ln===1?xe:ee.unproject(Qe.add(Xe.mult(cn(Kn))).mult(Aa));ee.setLocationAtPoint(ee.renderWorldCopies?fa.wrap():fa,Cr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)}),(()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)}),w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let La={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Ua{constructor(w=La){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map((ee=>typeof ee!=\"string\"?\"\":ee))):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let le=B[ee];if(le.used||le.usedForTerrain){let Fe=le.getSource();Fe.attribution&&w.indexOf(Fe.attribution)<0&&w.push(Fe.attribution)}}w=w.filter((ee=>String(ee).trim())),w.sort(((ee,le)=>ee.length-le.length)),w=w.filter(((ee,le)=>{for(let Fe=le+1;Fe<w.length;Fe++)if(w[Fe].indexOf(ee)>=0)return!1;return!0}));let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Zn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Dn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ka=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class bo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Tt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((w=>this.getTileByID(w)))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16),a.aP(le.posMatrix,0,a.X,0,a.X,0,1),B[Q]=le}else if(ee.canonical.isChildOf(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let Fe=ee.canonical.z-w.canonical.z,Ze=ee.canonical.x-(ee.canonical.x>>Fe<<Fe),ut=ee.canonical.y-(ee.canonical.y>>Fe<<Fe),Mt=a.X>>Fe;a.aP(le.posMatrix,0,Mt,0,Mt,0,1),a.J(le.posMatrix,le.posMatrix,[-Ze*Mt,-ut*Mt,0]),B[Q]=le}else if(w.canonical.isChildOf(ee.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let Fe=w.canonical.z-ee.canonical.z,Ze=w.canonical.x-(w.canonical.x>>Fe<<Fe),ut=w.canonical.y-(w.canonical.y>>Fe<<Fe),Mt=a.X>>Fe;a.aP(le.posMatrix,0,a.X,0,a.X,0,1),a.J(le.posMatrix,le.posMatrix,[Ze*Mt,ut*Mt,0]),a.K(le.posMatrix,le.posMatrix,[1/2**Fe,1/2**Fe,0]),B[Q]=le}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let le=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!le||!le.dem)&&B)for(;ee>=Q.minzoom&&(!le||!le.dem);)le=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return le}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter((B=>B.timeAdded>=w))}}class Zo{constructor(w,B,Q){this.painter=w,this.sourceCache=new bo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var le;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let Fe=this.getTerrainData(w),Ze=(le=Fe.tile)===null||le===void 0?void 0:le.dem;if(!Ze)return 0;let ut=(function(ve,xe,Ie){var ze=xe[0],Qe=xe[1];return ve[0]=Ie[0]*ze+Ie[4]*Qe+Ie[12],ve[1]=Ie[1]*ze+Ie[5]*Qe+Ie[13],ve})([],[B/ee*a.X,Q/ee*a.X],Fe.u_terrain_matrix),Mt=[ut[0]*Ze.dim,ut[1]*Ze.dim],Jt=Math.floor(Mt[0]),$t=Math.floor(Mt[1]),yr=Mt[0]-Jt,Cr=Mt[1]-$t;return Ze.get(Jt,$t)*(1-yr)*(1-Cr)+Ze.get(Jt+1,$t)*yr*(1-Cr)+Ze.get(Jt,$t+1)*(1-yr)*Cr+Ze.get(Jt+1,$t+1)*yr*Cr}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:le}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,le%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,le=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new g(ee,le,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new g(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new g(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,le=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?le=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let Fe=w.canonical.x-(w.canonical.x>>le<<le),Ze=w.canonical.y-(w.canonical.y>>le<<le),ut=a.bc(new Float64Array(16),[1/(a.X<<le),1/(a.X<<le),0]);a.J(ut,ut,[Fe*a.X,Ze*a.X,0]),this._demMatrixCache[w.key]={matrix:ut,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let le=0,Fe=0;le<this._coordsTextureSize;le++)for(let Ze=0;Ze<this._coordsTextureSize;Ze++,Fe+=4)B[Fe+0]=255&Ze,B[Fe+1]=255&le,B[Fe+2]=Ze>>8<<4|le>>8,B[Fe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new g(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,le=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),Fe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),Ze=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(le,Ze-Fe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let ut=B[0]+(B[2]>>4<<8),Mt=B[1]+((15&B[2])<<8),Jt=this.coordsIndex[255-B[3]],$t=Jt&&this.sourceCache.getTileByID(Jt);if(!$t)return null;let yr=this._coordsTextureSize,Cr=(1<<$t.tileID.canonical.z)*yr;return new a.Z(($t.tileID.canonical.x*yr+ut)/Cr+$t.tileID.wrap,($t.tileID.canonical.y*yr+Mt)/Cr,this.getElevation($t.tileID,ut,Mt,yr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,le=a.X/ee,Fe=ee*ee;for(let $t=0;$t<=ee;$t++)for(let yr=0;yr<=ee;yr++)B.emplaceBack(yr*le,$t*le,0);for(let $t=0;$t<Fe;$t+=ee+1)for(let yr=0;yr<ee;yr++)Q.emplaceBack(yr+$t,ee+yr+$t+1,ee+yr+$t+2),Q.emplaceBack(yr+$t,ee+yr+$t+2,yr+$t+1);let Ze=B.length,ut=Ze+2*(ee+1);for(let $t of[0,1])for(let yr=0;yr<=ee;yr++)for(let Cr of[0,1])B.emplaceBack(yr*le,$t*a.X,Cr);for(let $t=0;$t<2*ee;$t+=2)Q.emplaceBack(ut+$t,ut+$t+1,ut+$t+3),Q.emplaceBack(ut+$t,ut+$t+3,ut+$t+2),Q.emplaceBack(Ze+$t,Ze+$t+3,Ze+$t+1),Q.emplaceBack(Ze+$t,Ze+$t+2,Ze+$t+3);let Mt=B.length,Jt=Mt+2*(ee+1);for(let $t of[0,1])for(let yr=0;yr<=ee;yr++)for(let Cr of[0,1])B.emplaceBack($t*a.X,yr*le,Cr);for(let $t=0;$t<2*ee;$t+=2)Q.emplaceBack(Mt+$t,Mt+$t+1,Mt+$t+3),Q.emplaceBack(Mt+$t,Mt+$t+3,Mt+$t+2),Q.emplaceBack(Jt+$t,Jt+$t+3,Jt+$t+1),Q.emplaceBack(Jt+$t,Jt+$t+2,Jt+$t+3);return this._mesh=new Eu(w.createVertexBuffer(B,Ka.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,le=Q.x*ee,Fe=Q.y*ee,Ze=Math.floor(le/a.X),ut=Math.floor(Fe/a.X);return{tileID:new a.S(B,0,B,Ze,ut),mercatorX:le,mercatorY:Fe}}}class Ss{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new g(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((B=>w.id!==B)),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some((w=>!w.inUse))===!1}}let as={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ws{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ss(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter((Q=>!w._layers[Q].isHidden(B))),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let le of ee){let Fe=this.terrain.sourceCache.getTerrainCoords(le);for(let Ze in Fe)this._coordsDescendingInv[Q][Ze]||(this._coordsDescendingInv[Q][Ze]=[]),this._coordsDescendingInv[Q][Ze].push(Fe[Ze])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],le=ee.source;if(as[ee.type]&&!this._coordsDescendingInvStr[le]){this._coordsDescendingInvStr[le]={};for(let Fe in this._coordsDescendingInv[le])this._coordsDescendingInvStr[le][Fe]=this._coordsDescendingInv[le][Fe].map((Ze=>Ze.key)).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let le=this._coordsDescendingInvStr[ee][Q.tileID.key];le&&le!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(as[B]&&(this._prevType&&as[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(as[this._prevType]||as[B]&&ee){this._prevType=B;let le=this._stacks.length-1,Fe=this._stacks[le]||[];for(let Ze of this._renderableTiles){if(this.pool.isFull()&&(js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(Ze),Ze.rtt[le]){let Mt=this.pool.getObjectForId(Ze.rtt[le].id);if(Mt.stamp===Ze.rtt[le].stamp){this.pool.useObject(Mt);continue}}let ut=this.pool.getOrCreateFreeObject();this.pool.useObject(ut),this.pool.stampObject(ut),Ze.rtt[le]={id:ut.id,stamp:ut.stamp},Q.context.bindFramebuffer.set(ut.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let Mt=0;Mt<Fe.length;Mt++){let Jt=Q.style._layers[Fe[Mt]],$t=Jt.source?this._coordsDescendingInv[Jt.source][Ze.tileID.key]:[Ze.tileID];Q.context.viewport.set([0,0,ut.fbo.width,ut.fbo.height]),Q._renderTileClippingMasks(Jt,$t),Q.renderLayer(Q,Q.style.sourceCaches[Jt.source],Jt,$t),Jt.source&&(Ze.rttCoords[Jt.source]=this._coordsDescendingInvStr[Jt.source][Ze.tileID.key])}}return js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),as[B]}return!1}}let Ho={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ml=o,Ws={hash:!1,interactive:!0,bearingSnap:7,attributionControl:La,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:a.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},Ls=ue=>{ue.touchstart=ue.dragStart,ue.touchmoveWindow=ue.dragMove,ue.touchend=ue.dragEnd},va={showCompass:!0,showZoom:!0,visualizePitch:!1};class no{constructor(w,B,Q=!1){this.mousedown=Fe=>{this.startMouse(a.e({},Fe,{ctrlKey:!0,preventDefault:()=>Fe.preventDefault()}),c.mousePos(this.element,Fe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=Fe=>{this.moveMouse(Fe,c.mousePos(this.element,Fe))},this.mouseup=Fe=>{this.mouseRotate.dragEnd(Fe),this.mousePitch&&this.mousePitch.dragEnd(Fe),this.offTemp()},this.touchstart=Fe=>{Fe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,Fe.targetTouches)[0],this.startTouch(Fe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=Fe=>{Fe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,Fe.targetTouches)[0],this.moveTouch(Fe,this._lastPos))},this.touchend=Fe=>{Fe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),le=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Wl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:Fe,clickTolerance:Ze,bearingDegreesPerPixelMoved:ut=.8})=>{let Mt=new cf;return new Wu({clickTolerance:Ze,move:(Jt,$t)=>({bearingDelta:($t.x-Jt.x)*ut}),moveStateManager:Mt,enable:Fe,assignEvents:Ls})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=ah({clickTolerance:le,enable:!0}),this.touchPitch=(({enable:Fe,clickTolerance:Ze,pitchDegreesPerPixelMoved:ut=-.5})=>{let Mt=new cf;return new Wu({clickTolerance:Ze,move:(Jt,$t)=>({pitchDelta:($t.y-Jt.y)*ut}),moveStateManager:Mt,enable:Fe,assignEvents:Ls})})({clickTolerance:le,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:le}=this.mousePitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:le}=this.touchPitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let ys;function rs(ue,w,B){let Q=new a.N(ue.lng,ue.lat);if(ue=new a.N(ue.lng,ue.lat),w){let ee=new a.N(ue.lng-360,ue.lat),le=new a.N(ue.lng+360,ue.lat),Fe=B.locationPoint(ue).distSqr(w);B.locationPoint(ee).distSqr(w)<Fe?ue=ee:B.locationPoint(le).distSqr(w)<Fe&&(ue=le)}for(;Math.abs(ue.lng-B.center.lng)>180;){let ee=B.locationPoint(ue);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;ue.lng>B.center.lng?ue.lng-=360:ue.lng+=360}return ue.lng!==Q.lng&&B.locationPoint(ue).y>B.height/2-B.getHorizon()?ue:Q}let Ql={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Cu(ue,w,B){let Q=ue.classList;for(let ee in Ql)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class Yu extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?rs(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let le=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?le=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(le=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let Fe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?Fe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(Fe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${Ql[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${Fe} ${le}`),u.frameAsync(new AbortController).then((()=>{this._updateOpacity(B&&B.type===\"moveend\")})).catch((()=>{}))},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let le=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");le.setAttributeNS(null,\"stroke\",\"none\"),le.setAttributeNS(null,\"stroke-width\",\"1\"),le.setAttributeNS(null,\"fill\",\"none\"),le.setAttributeNS(null,\"fill-rule\",\"evenodd\");let Fe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Fe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let Ze=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ze.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),Ze.setAttributeNS(null,\"fill\",\"#000000\");let ut=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let ze of ut){let Qe=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Qe.setAttributeNS(null,\"opacity\",\"0.04\"),Qe.setAttributeNS(null,\"cx\",\"10.5\"),Qe.setAttributeNS(null,\"cy\",\"5.80029008\"),Qe.setAttributeNS(null,\"rx\",ze.rx),Qe.setAttributeNS(null,\"ry\",ze.ry),Ze.appendChild(Qe)}let Mt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Mt.setAttributeNS(null,\"fill\",this._color);let Jt=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Jt.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),Mt.appendChild(Jt);let $t=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");$t.setAttributeNS(null,\"opacity\",\"0.25\"),$t.setAttributeNS(null,\"fill\",\"#000000\");let yr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");yr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),$t.appendChild(yr);let Cr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Cr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Cr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let ve=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");ve.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let xe=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");xe.setAttributeNS(null,\"fill\",\"#000000\"),xe.setAttributeNS(null,\"opacity\",\"0.25\"),xe.setAttributeNS(null,\"cx\",\"5.5\"),xe.setAttributeNS(null,\"cy\",\"5.5\"),xe.setAttributeNS(null,\"r\",\"5.4999962\");let Ie=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Ie.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Ie.setAttributeNS(null,\"cx\",\"5.5\"),Ie.setAttributeNS(null,\"cy\",\"5.5\"),Ie.setAttributeNS(null,\"r\",\"5.4999962\"),ve.appendChild(xe),ve.appendChild(Ie),Fe.appendChild(Ze),Fe.appendChild(Mt),Fe.appendChild($t),Fe.appendChild(Cr),Fe.appendChild(ve),B.appendChild(Fe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(B=>{B.preventDefault()})),this._element.addEventListener(\"mousedown\",(B=>{B.preventDefault()})),Cu(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}let ee=this._map,le=ee.terrain.depthAtPoint(this._pos),Fe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,Fe)-le<.006)return void(this._element.style.opacity=this._opacity);let Ze=-this._offset.y/ee.transform._pixelPerMeter,ut=Math.sin(ee.getPitch()*Math.PI/180)*Ze,Mt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Jt=ee.transform.lngLatToCameraDepth(this._lngLat,Fe+ut)-Mt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Jt&&this._popup.remove(),this._element.style.opacity=Jt?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let Nc={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},pu=0,Uc=!1,xu={maxWidth:100,unit:\"metric\"};function Ac(ue,w,B){let Q=B&&B.maxWidth||100,ee=ue._container.clientHeight/2,le=ue.unproject([0,ee]),Fe=ue.unproject([Q,ee]),Ze=le.distanceTo(Fe);if(B&&B.unit===\"imperial\"){let ut=3.2808*Ze;ut>5280?Va(w,Q,ut/5280,ue._getUIString(\"ScaleControl.Miles\")):Va(w,Q,ut,ue._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Va(w,Q,Ze/1852,ue._getUIString(\"ScaleControl.NauticalMiles\")):Ze>=1e3?Va(w,Q,Ze/1e3,ue._getUIString(\"ScaleControl.Kilometers\")):Va(w,Q,Ze,ue._getUIString(\"ScaleControl.Meters\"))}function Va(ue,w,B,Q){let ee=(function(le){let Fe=Math.pow(10,`${Math.floor(le)}`.length-1),Ze=le/Fe;return Ze=Ze>=10?10:Ze>=5?5:Ze>=3?3:Ze>=2?2:Ze>=1?1:(function(ut){let Mt=Math.pow(10,Math.ceil(-Math.log(ut)/Math.LN10));return Math.round(ut*Mt)/Mt})(Ze),Fe*Ze})(B);ue.style.width=w*(ee/B)+\"px\",ue.innerHTML=`${ee}&nbsp;${Q}`}let oo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Vc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function hc(ue){if(ue){if(typeof ue==\"number\"){let w=Math.round(Math.abs(ue)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,ue),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-ue),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(ue,0),right:new a.P(-ue,0)}}if(ue instanceof a.P||Array.isArray(ue)){let w=a.P.convert(ue);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(ue.center||[0,0]),top:a.P.convert(ue.top||[0,0]),\"top-left\":a.P.convert(ue[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(ue[\"top-right\"]||[0,0]),bottom:a.P.convert(ue.bottom||[0,0]),\"bottom-left\":a.P.convert(ue[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(ue[\"bottom-right\"]||[0,0]),left:a.P.convert(ue.left||[0,0]),right:a.P.convert(ue.right||[0,0])}}return hc(new a.P(0,0))}let Ku=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=Ua,i.BoxZoomHandler=ku,i.CanvasSource=rr,i.CooperativeGesturesHandler=$i,i.DoubleClickZoomHandler=Mi,i.DragPanHandler=wn,i.DragRotateHandler=On,i.EdgeInsets=hu,i.FullscreenControl=class extends a.E{constructor(ue={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,ue&&ue.container&&(ue.container instanceof HTMLElement?this._container=ue.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(ue){return this._map=ue,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let ue=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",ue).setAttribute(\"aria-hidden\",\"true\"),ue.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let ue=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",ue),this._fullscreenButton.title=ue}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=at,i.GeolocateControl=class extends a.E{constructor(ue){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),le=a.e({bearing:ee},this.options.fitBoundsOptions),Fe=ce.fromLngLat(B,Q);this._map.fitBounds(Fe,le,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Uc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(w=>w.preventDefault())),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Yu({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Yu({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))}))}},this.options=a.e({},Nc,ue)}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),(function(){return a._(this,arguments,void 0,(function*(w=!1){if(ys!==void 0&&!w)return ys;if(window.navigator.permissions===void 0)return ys=!!window.navigator.geolocation,ys;try{ys=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){ys=!!window.navigator.geolocation}return ys}))})().then((w=>this._finishSetupUI(w))),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,pu=0,Uc=!1}_isOutOfMapMaxBounds(ue){let w=this._map.getMaxBounds(),B=ue.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let ue=this._map.getBounds(),w=ue.getSouthEast(),B=ue.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":pu--,Uc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let ue;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),pu++,pu>1?(ue={maximumAge:6e5,timeout:0},Uc=!0):(ue=this.options.positionOptions,Uc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,ue)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=Mh,i.ImageSource=ar,i.KeyboardHandler=Zt,i.LngLatBounds=ce,i.LogoControl=Zn,i.Map=class extends Ra{constructor(ue){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Ws),ue);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new il(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Dn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Ho),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new k(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=nh((ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())}),50);this._resizeObserver=new ResizeObserver((ee=>{B?Q(ee):B=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Ca(this,w),this._hash=w.hash&&new Mh(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new Ua(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Zn,w.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))})),this.on(\"dataloading\",(B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))})),this.on(\"dataabort\",(B=>{this.fire(new a.k(\"sourcedataabort\",B))}))}_getMapId(){return this._mapId}addControl(ue,w){if(w===void 0&&(w=ue.getDefaultPosition?ue.getDefaultPosition():\"top-right\"),!ue||!ue.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=ue.onAdd(this);this._controls.push(ue);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(ue){if(!ue||!ue.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(ue);return w>-1&&this._controls.splice(w,1),ue.onRemove(this),this}hasControl(ue){return this._controls.indexOf(ue)>-1}calculateCameraOptionsFromTo(ue,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(ue,w,B,Q)}resize(ue){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],le=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,le),this.painter.resize(Q,ee,le),this.painter.overLimit()){let Ze=this.painter.context.gl;this._maxCanvasSize=[Ze.drawingBufferWidth,Ze.drawingBufferHeight];let ut=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,ut),this.painter.resize(Q,ee,ut)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let Fe=!this._moving;return Fe&&(this.stop(),this.fire(new a.k(\"movestart\",ue)).fire(new a.k(\"move\",ue))),this.fire(new a.k(\"resize\",ue)),Fe&&this.fire(new a.k(\"moveend\",ue)),this}_getClampedPixelRatio(ue,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),le=ue*ee,Fe=w*ee;return Math.min(le>B?B/le:1,Fe>Q?Q/Fe:1)*ee}getPixelRatio(){var ue;return(ue=this._overridePixelRatio)!==null&&ue!==void 0?ue:devicePixelRatio}setPixelRatio(ue){this._overridePixelRatio=ue,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(ue){return this.transform.setMaxBounds(ce.convert(ue)),this._update()}setMinZoom(ue){if((ue=ue==null?-2:ue)>=-2&&ue<=this.transform.maxZoom)return this.transform.minZoom=ue,this._update(),this.getZoom()<ue&&this.setZoom(ue),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(ue){if((ue=ue==null?22:ue)>=this.transform.minZoom)return this.transform.maxZoom=ue,this._update(),this.getZoom()>ue&&this.setZoom(ue),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(ue){if((ue=ue==null?0:ue)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(ue>=0&&ue<=this.transform.maxPitch)return this.transform.minPitch=ue,this._update(),this.getPitch()<ue&&this.setPitch(ue),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(ue){if((ue=ue==null?60:ue)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(ue>=this.transform.minPitch)return this.transform.maxPitch=ue,this._update(),this.getPitch()>ue&&this.setPitch(ue),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(ue){return this.transform.renderWorldCopies=ue,this._update()}project(ue){return this.transform.locationPoint(a.N.convert(ue),this.style&&this.terrain)}unproject(ue){return this.transform.pointLocation(a.P.convert(ue),this.terrain)}isMoving(){var ue;return this._moving||((ue=this.handlers)===null||ue===void 0?void 0:ue.isMoving())}isZooming(){var ue;return this._zooming||((ue=this.handlers)===null||ue===void 0?void 0:ue.isZooming())}isRotating(){var ue;return this._rotating||((ue=this.handlers)===null||ue===void 0?void 0:ue.isRotating())}_createDelegatedListener(ue,w,B){if(ue===\"mouseenter\"||ue===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:le=>{let Fe=w.filter((ut=>this.getLayer(ut))),Ze=Fe.length!==0?this.queryRenderedFeatures(le.point,{layers:Fe}):[];Ze.length?Q||(Q=!0,B.call(this,new jl(ue,this,le.originalEvent,{features:Ze}))):Q=!1},mouseout:()=>{Q=!1}}}}if(ue===\"mouseleave\"||ue===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:Fe=>{let Ze=w.filter((ut=>this.getLayer(ut)));(Ze.length!==0?this.queryRenderedFeatures(Fe.point,{layers:Ze}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new jl(ue,this,Fe.originalEvent)))},mouseout:Fe=>{Q&&(Q=!1,B.call(this,new jl(ue,this,Fe.originalEvent)))}}}}{let Q=ee=>{let le=w.filter((Ze=>this.getLayer(Ze))),Fe=le.length!==0?this.queryRenderedFeatures(ee.point,{layers:le}):[];Fe.length&&(ee.features=Fe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[ue]:Q}}}}_saveDelegatedListener(ue,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[ue]=this._delegatedListeners[ue]||[],this._delegatedListeners[ue].push(w)}_removeDelegatedListener(ue,w,B){if(!this._delegatedListeners||!this._delegatedListeners[ue])return;let Q=this._delegatedListeners[ue];for(let ee=0;ee<Q.length;ee++){let le=Q[ee];if(le.listener===B&&le.layers.length===w.length&&le.layers.every((Fe=>w.includes(Fe)))){for(let Fe in le.delegates)this.off(Fe,le.delegates[Fe]);return void Q.splice(ee,1)}}}on(ue,w,B){if(B===void 0)return super.on(ue,w);let Q=this._createDelegatedListener(ue,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(ue,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(ue,w,B){if(B===void 0)return super.once(ue,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(ue,Q,B);for(let le in ee.delegates){let Fe=ee.delegates[le];ee.delegates[le]=(...Ze)=>{this._removeDelegatedListener(ue,Q,B),Fe(...Ze)}}this._saveDelegatedListener(ue,ee);for(let le in ee.delegates)this.once(le,ee.delegates[le]);return this}off(ue,w,B){return B===void 0?super.off(ue,w):(this._removeDelegatedListener(ue,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(ue,w){if(!this.style)return[];let B,Q=ue instanceof a.P||Array.isArray(ue),ee=Q?ue:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:ue)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let le=a.P.convert(ee[0]),Fe=a.P.convert(ee[1]);B=[le,new a.P(Fe.x,le.y),Fe,new a.P(le.x,Fe.y),le]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(ue,w){return this.style.querySourceFeatures(ue,w)}setStyle(ue,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&ue?(this._diffStyle(ue,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(ue,w))}setTransformRequest(ue){return this._requestManager.setTransformRequest(ue),this}_getUIString(ue){let w=this._locale[ue];if(w==null)throw new Error(`Missing UI string '${ue}'`);return w}_updateStyle(ue,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(ue,w)));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!ue)),ue?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof ue==\"string\"?this.style.loadURL(ue,w,B):this.style.loadJSON(ue,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(ue,w){if(typeof ue==\"string\"){let B=this._requestManager.transformRequest(ue,\"Style\");a.h(B,new AbortController).then((Q=>{this._updateDiff(Q.data,w)})).catch((Q=>{Q&&this.fire(new a.j(Q))}))}else typeof ue==\"object\"&&this._updateDiff(ue,w)}_updateDiff(ue,w){try{this.style.setState(ue,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(ue,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(ue,w){return this._lazyInitEmptyStyle(),this.style.addSource(ue,w),this._update(!0)}isSourceLoaded(ue){let w=this.style&&this.style.sourceCaches[ue];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${ue}'`)))}setTerrain(ue){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),ue){let w=this.style.sourceCaches[ue.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${ue.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===ue.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Zo(this.painter,w,ue),this.painter.renderToTexture=new ws(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==ue.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:ue})),this}getTerrain(){var ue,w;return(w=(ue=this.terrain)===null||ue===void 0?void 0:ue.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let ue=this.style&&this.style.sourceCaches;for(let w in ue){let B=ue[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(ue){return this.style.removeSource(ue),this._update(!0)}getSource(ue){return this.style.getSource(ue)}addImage(ue,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Jt,height:$t,data:yr}=w,Cr=w;return this.style.addImage(ue,{data:new a.R({width:Jt,height:$t},new Uint8Array(yr)),pixelRatio:Q,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt,sdf:ee,version:0,userImage:Cr}),Cr.onAdd&&Cr.onAdd(this,ue),this}}{let{width:Jt,height:$t,data:yr}=u.getImageData(w);this.style.addImage(ue,{data:new a.R({width:Jt,height:$t},yr),pixelRatio:Q,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt,sdf:ee,version:0})}}updateImage(ue,w){let B=this.style.getImage(ue);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:le,data:Fe}=Q;if(ee===void 0||le===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||le!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let Ze=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(Fe,Ze),this.style.updateImage(ue,B),this}getImage(ue){return this.style.getImage(ue)}hasImage(ue){return ue?!!this.style.getImage(ue):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(ue){this.style.removeImage(ue)}loadImage(ue){return p.getImage(this._requestManager.transformRequest(ue,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(ue,w){return this._lazyInitEmptyStyle(),this.style.addLayer(ue,w),this._update(!0)}moveLayer(ue,w){return this.style.moveLayer(ue,w),this._update(!0)}removeLayer(ue){return this.style.removeLayer(ue),this._update(!0)}getLayer(ue){return this.style.getLayer(ue)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(ue,w,B){return this.style.setLayerZoomRange(ue,w,B),this._update(!0)}setFilter(ue,w,B={}){return this.style.setFilter(ue,w,B),this._update(!0)}getFilter(ue){return this.style.getFilter(ue)}setPaintProperty(ue,w,B,Q={}){return this.style.setPaintProperty(ue,w,B,Q),this._update(!0)}getPaintProperty(ue,w){return this.style.getPaintProperty(ue,w)}setLayoutProperty(ue,w,B,Q={}){return this.style.setLayoutProperty(ue,w,B,Q),this._update(!0)}getLayoutProperty(ue,w){return this.style.getLayoutProperty(ue,w)}setGlyphs(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(ue,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(ue,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(ue,w,B,(Q=>{Q||this._update(!0)})),this}removeSprite(ue){return this._lazyInitEmptyStyle(),this.style.removeSprite(ue),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(ue,w,(B=>{B||this._update(!0)})),this}setLight(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(ue,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(ue){return this._lazyInitEmptyStyle(),this.style.setSky(ue),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(ue,w){return this.style.setFeatureState(ue,w),this._update()}removeFeatureState(ue,w){return this.style.removeFeatureState(ue,w),this._update()}getFeatureState(ue){return this.style.getFeatureState(ue)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let ue=0,w=0;return this._container&&(ue=this._container.clientWidth||400,w=this._container.clientHeight||300),[ue,w]}_setupContainer(){let ue=this._container;ue.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",ue);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",ue),le=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((Fe=>{le[Fe]=c.create(\"div\",`maplibregl-ctrl-${Fe} `,ee)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(ue,w,B){this._canvas.width=Math.floor(B*ue),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${ue}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let ue={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(Q=>{w={requestedAttributes:ue},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)}),{once:!0});let B=this._canvas.getContext(\"webgl2\",ue)||this._canvas.getContext(\"webgl\",ue);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Dc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(ue){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||ue,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(ue){return this._update(),this._renderTaskQueue.add(ue)}_cancelRenderFrame(ue){this._renderTaskQueue.remove(ue)}_render(ue){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(ue),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,le=u.now();this.style.zoomHistory.update(ee,le);let Fe=new a.z(ee,{now:le,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ze=Fe.crossFadingFactor();Ze===1&&Ze===this._crossFadingFactor||(B=!0,this._crossFadingFactor=Ze),this.style.update(Fe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var ue;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),(ue=this._resizeObserver)===null||ue===void 0||ue.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then((ue=>{a.bf.frame(ue),this._frameRequest=null,this._render(ue)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(ue){this._showTileBoundaries!==ue&&(this._showTileBoundaries=ue,this._update())}get showPadding(){return!!this._showPadding}set showPadding(ue){this._showPadding!==ue&&(this._showPadding=ue,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(ue){this._showCollisionBoxes!==ue&&(this._showCollisionBoxes=ue,ue?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(ue){this._showOverdrawInspector!==ue&&(this._showOverdrawInspector=ue,this._update())}get repaint(){return!!this._repaint}set repaint(ue){this._repaint!==ue&&(this._repaint=ue,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(ue){this._vertices=ue,this._update()}get version(){return ml}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=jl,i.MapTouchEvent=uf,i.MapWheelEvent=Xh,i.Marker=Yu,i.NavigationControl=class{constructor(ue){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},va,ue),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(w=>w.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(w=>this._map.zoomIn({},{originalEvent:w}))),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(w=>this._map.zoomOut({},{originalEvent:w}))),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})})),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(ue){return this._map=ue,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new no(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(ue,w){let B=c.create(\"button\",ue,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(ue){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let Ze of this.options.className.split(\" \"))this._container.classList.add(Ze);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?rs(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,le=hc(this.options.offset);if(!ee){let Ze=this._container.offsetWidth,ut=this._container.offsetHeight,Mt;Mt=Q.y+le.bottom.y<ut?[\"top\"]:Q.y>this._map.transform.height-ut?[\"bottom\"]:[],Q.x<Ze/2?Mt.push(\"left\"):Q.x>this._map.transform.width-Ze/2&&Mt.push(\"right\"),ee=Mt.length===0?\"bottom\":Mt.join(\"-\")}let Fe=Q.add(le[ee]);this.options.subpixelPositioning||(Fe=Fe.round()),c.setTransform(this._container,`${Ql[ee]} translate(${Fe.x}px,${Fe.y}px)`),Cu(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(oo),ue)}addTo(ue){return this._map&&this.remove(),this._map=ue,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(ue){return this._lngLat=a.N.convert(ue),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(ue){return this.setDOMContent(document.createTextNode(ue))}setHTML(ue){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=ue;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var ue;return(ue=this._container)===null||ue===void 0?void 0:ue.style.maxWidth}setMaxWidth(ue){return this.options.maxWidth=ue,this._update(),this}setDOMContent(ue){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(ue),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(ue){return this._container&&this._container.classList.add(ue),this}removeClassName(ue){return this._container&&this._container.classList.remove(ue),this}setOffset(ue){return this.options.offset=ue,this._update(),this}toggleClassName(ue){if(this._container)return this._container.classList.toggle(ue)}setSubpixelPositioning(ue){this.options.subpixelPositioning=ue}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let ue=this._container.querySelector(Vc);ue&&ue.focus()}},i.RasterDEMTileSource=Ht,i.RasterTileSource=mt,i.ScaleControl=class{constructor(ue){this._onMove=()=>{Ac(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Ac(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},xu),ue)}getDefaultPosition(){return\"bottom-left\"}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",ue.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Kr,i.Style=Ha,i.TerrainControl=class{constructor(ue){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=ue}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=Bc,i.TwoFingersTouchRotateHandler=ff,i.TwoFingersTouchZoomHandler=vu,i.TwoFingersTouchZoomRotateHandler=Yi,i.VectorTileSource=lt,i.VideoSource=Vt,i.addSourceType=(ue,w)=>a._(void 0,void 0,void 0,(function*(){if(je(ue))throw new Error(`A source type called \"${ue}\" already exists.`);((B,Q)=>{tt[B]=Q})(ue,w)})),i.clearPrewarmedResources=function(){let ue=ge;ue&&(ue.isPreloaded()&&ue.numActive()===1?(ue.release(_e),ge=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return St().getRTLTextPluginStatus()},i.getVersion=function(){return Ku},i.getWorkerCount=function(){return Ee.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(ue){return be().broadcast(\"IS\",ue)},i.prewarm=function(){Se().acquire(_e)},i.setMaxParallelImageRequests=function(ue){a.a.MAX_PARALLEL_IMAGE_REQUESTS=ue},i.setRTLTextPlugin=function(ue,w){return St().setRTLTextPlugin(ue,w)},i.setWorkerCount=function(ue){Ee.workerCount=ue},i.setWorkerUrl=function(ue){a.a.WORKER_URL=ue}}));var n=e;return n}))});var Eje=ye((v2r,Mje)=>{\"use strict\";var yw=Pr(),lZt=Zl().sanitizeHTML,uZt=zJ(),Tje=Ix();function Aje(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=Tje.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var sg=Aje.prototype;sg.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=y7(t)};sg.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};sg.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};sg.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};sg.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};sg.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};sg.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!y7(e)){var r=cZt(e);t.addSource(this.idSource,r)}};sg.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(Tje.traceLayerPrefix)===0){e=n;break}}return e};sg.updateLayer=function(e){var t=this.subplot,r=Sje(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),y7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};sg.updateStyle=function(e){if(y7(e)){var t=Sje(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};sg.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};sg.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function y7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return yw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function Sje(e){var t={},r={};switch(e.type){case\"circle\":yw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":yw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":yw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=uZt(n.textposition,n.iconsize);yw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),yw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":yw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function cZt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=lZt(e.sourceattribution)),n}Mje.exports=function(t,r,n){var i=new Aje(t,r);return i.update(n),i}});var Fje=ye((p2r,Dje)=>{\"use strict\";var VJ=wje(),GJ=Pr(),Lje=ey(),kje=Oa(),fZt=ho(),hZt=yv(),_7=ef(),Pje=Cg(),dZt=Pje.drawMode,vZt=Pje.selectMode,pZt=qf().prepSelect,gZt=qf().clearOutline,mZt=qf().clearSelectionsCache,yZt=qf().selectOnClick,_w=Ix(),_Zt=Eje();function Ije(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Hh=Ije.prototype;Hh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Hh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=Rje(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new VJ.Map({container:i.div,style:o.style,center:HJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new VJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(Lje.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Hh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=Rje(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(Lje.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Hh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var Cje={choroplethmap:0,densitymap:1,scattermap:2};Hh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return Cje[f[0].trace.type]-Cje[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Hh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(HJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Hh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Hh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(_w.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Hh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},fZt.setConvert(t.mockAxis,e)};Hh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];kje.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&_7.hover(n,s,r.id)},_7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){_7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];kje.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(HJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){mZt(r.dragOptions),gZt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&yZt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&_7.click(n,l.originalEvent)}}};Hh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=GJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),vZt(a)||dZt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){pZt(l,u,c,t.dragOptions,a)},hZt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Hh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Hh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(_Zt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Hh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Hh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Hh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Hh.getMapLayers=function(){return this.map.getStyle().layers};Hh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}GJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Hh.project=function(e){return this.map.project(new VJ.LngLat(e[0],e[1]))};Hh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Hh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Hh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function Rje(e){var t={};return GJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,_w.stylesMap[e]?t.style=_w.stylesMap[e]:t.style=e):(t.id=_w.styleValueDflt,t.style=xZt(_w.styleValueDflt)),t.transition={duration:0,delay:0},t}function xZt(e){return _w.styleUrlPrefix+e+\"-\"+_w.styleUrlSuffix}function HJ(e){return[e.lon,e.lat]}Dje.exports=Ije});var Oje=ye((g2r,qje)=>{\"use strict\";var jJ=Pr(),bZt=O_(),wZt=Kd(),zje=rC();qje.exports=function(t,r,n){bZt(t,r,n,{type:\"map\",attributes:zje,handleDefaults:TZt,partition:\"y\"})};function TZt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,wZt(e,t,{name:\"layers\",handleItemDefaults:AZt}),t._input=e}function AZt(e,t){function r(l,u){return jJ.coerce(e,t,zje.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",jJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),jJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var b7=ye(u0=>{\"use strict\";var x7=Pr(),Bje=x7.strTranslate,SZt=x7.strScale,MZt=Id().getSubplotCalcData,EZt=Wp(),kZt=Fa(),Nje=So(),CZt=Zl(),LZt=Fje(),Rx=\"map\";u0.name=Rx;u0.attr=\"subplot\";u0.idRoot=Rx;u0.idRegex=u0.attrRegex=x7.counterRegex(Rx);u0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};u0.layoutAttributes=rC();u0.supplyLayoutDefaults=Oje();u0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[Rx],a=0;a<i.length;a++){var o=i[a],s=MZt(n,Rx,o),l=r[o],u=l._subplot;u||(u=new LZt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:x7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};u0.clean=function(e,t,r,n){for(var i=n._subplots[Rx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};u0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Rx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:EZt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=kZt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=Nje.bBox(d.node()),m=n.w*(o.x[1]-o.x[0]);if(v.width>m/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(CZt.convertToTspans,e),v=Nje.bBox(d.node())}d.attr(\"transform\",Bje(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var p=1;v.width+6>m&&(p=m/(v.width+6));var k=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",Bje(k[0],k[1])+SZt(p))}};u0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Rx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var Vje=ye((y2r,Uje)=>{\"use strict\";Uje.exports={attributes:h7(),supplyDefaults:eje(),colorbar:Qd(),formatLabels:FJ(),calc:TF(),plot:vje(),hoverPoints:m7().hoverPoints,eventData:yje(),selectPoints:xje(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:b7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var Hje=ye((_2r,Gje)=>{\"use strict\";Gje.exports=Vje()});var WJ=ye((x2r,jje)=>{\"use strict\";var b1=l5(),PZt=Tu(),{hovertemplateAttrs:IZt,templatefallbackAttrs:RZt}=Pl(),DZt=Vl(),Dx=Ao().extendFlat;jje.exports=Dx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Dx({},b1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:b1.text,hovertext:b1.hovertext,marker:{line:{color:Dx({},b1.marker.line.color,{editType:\"plot\"}),width:Dx({},b1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Dx({},b1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Dx({},b1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Dx({},b1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:b1.hoverinfo,hovertemplate:IZt({},{keys:[\"properties\"]}),hovertemplatefallback:RZt(),showlegend:Dx({},DZt.showlegend,{dflt:!1})},PZt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var Xje=ye((b2r,Wje)=>{\"use strict\";var oC=Pr(),FZt=td(),zZt=WJ();Wje.exports=function(t,r,n,i){function a(c,f){return oC.coerce(t,r,zZt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!oC.isArrayOrTypedArray(o)||!o.length||!oC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||oC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),FZt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),oC.coerceSelectionMarkerOpacity(r,a)}});var XJ=ye((w2r,Kje)=>{\"use strict\";var qZt=Eo(),w1=Pr(),OZt=tc(),BZt=So(),NZt=hx().makeBlank,Zje=ey();function UZt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:NZt()};if(!r)return a;var o=Zje.extractTraceFeature(e);if(!o)return a;var s=OZt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;w1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var M=k.mo;return qZt(M)?+w1.constrain(M,0,1):0});var f;w1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;w1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],m=v.fOut;if(m){var b=m.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=Zje.feature2polygons(m)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return w1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),w1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},Yje(e),a}function Yje(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=BZt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=w1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return w1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),w1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}Kje.exports={convert:UZt,convertOnSelect:Yje}});var tWe=ye((T2r,eWe)=>{\"use strict\";var $je=XJ().convert,VZt=XJ().convertOnSelect,Jje=Ix().traceLayerPrefix;function Qje(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",Jje+t+\"-fill\"],[\"line\",Jje+t+\"-line\"]],this.below=null}var q5=Qje.prototype;q5.update=function(e){this._update($je(e)),e[0].trace._glTrace=this};q5.updateOnSelect=function(e){this._update(VZt(e))};q5._update=function(e){var 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A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+at.circularPathData.rightFullExtent+\" \"+at.circularPathData.verticalRightInnerExtent+\" L\"+at.circularPathData.rightFullExtent+\" \"+(at.circularPathData.targetY-at.circularPathData.rightSmallArcRadius)+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.targetY+\" L\"+at.circularPathData.targetX+\" \"+at.circularPathData.targetY:ct=\"M\"+at.circularPathData.sourceX+\" \"+at.circularPathData.sourceY+\" L\"+at.circularPathData.leftInnerExtent+\" \"+at.circularPathData.sourceY+\" A\"+at.circularPathData.leftLargeArcRadius+\" \"+at.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+at.circularPathData.leftFullExtent+\" \"+(at.circularPathData.sourceY+at.circularPathData.leftSmallArcRadius)+\" L\"+at.circularPathData.leftFullExtent+\" \"+at.circularPathData.verticalLeftInnerExtent+\" A\"+at.circularPathData.leftLargeArcRadius+\" \"+at.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+at.circularPathData.leftInnerExtent+\" \"+at.circularPathData.verticalFullExtent+\" L\"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.verticalFullExtent+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+at.circularPathData.rightFullExtent+\" \"+at.circularPathData.verticalRightInnerExtent+\" L\"+at.circularPathData.rightFullExtent+\" \"+(at.circularPathData.targetY+at.circularPathData.rightSmallArcRadius)+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.targetY+\" L\"+at.circularPathData.targetX+\" \"+at.circularPathData.targetY,ct}function ae(at,ct){return ie(at)==ie(ct)?at.circularLinkType==\"bottom\"?Ee(at,ct):_e(at,ct):ie(ct)-ie(at)}function _e(at,ct){return at.y0-ct.y0}function Ee(at,ct){return ct.y0-at.y0}function Ce(at,ct){return at.y1-ct.y1}function ge(at,ct){return ct.y1-at.y1}function ie(at){return at.target.column-at.source.column}function Se(at){return at.target.x0-at.source.x1}function ke(at,ct){var ar=V(at),Vt=Se(ct)/Math.tan(ar),rr=lt(at)==\"up\"?at.y1+Vt:at.y1-Vt;return rr}function be(at,ct){var ar=V(at),Vt=Se(ct)/Math.tan(ar),rr=lt(at)==\"up\"?at.y1-Vt:at.y1+Vt;return rr}function Be(at,ct,ar,Vt){at.links.forEach(function(rr){if(!rr.circular&&rr.target.column-rr.source.column>1){var tt=rr.source.column+1,je=rr.target.column-1,Ue=1,Ae=je-tt+1;for(Ue=1;tt<=je;tt++,Ue++)at.nodes.forEach(function(rt){if(rt.column==tt){var St=Ue/(Ae+1),Tt=Math.pow(1-St,3),dt=3*St*Math.pow(1-St,2),Et=3*Math.pow(St,2)*(1-St),pt=Math.pow(St,3),jt=Tt*rr.y0+dt*rr.y0+Et*rr.y1+pt*rr.y1,or=jt-rr.width/2,mr=jt+rr.width/2,Ar;or>rt.y0&&or<rt.y1?(Ar=rt.y1-or+10,Ar=rt.circularLinkType==\"bottom\"?Ar:-Ar,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||Le(rt,ei)&&me(ei,Ar,ct,ar)})):mr>rt.y0&&mr<rt.y1?(Ar=mr-rt.y0+10,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||ei.y0<rt.y1&&ei.y1>rt.y1&&me(ei,Ar,ct,ar)})):or<rt.y0&&mr>rt.y1&&(Ar=mr-rt.y0+10,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||ei.y0<rt.y1&&ei.y1>rt.y1&&me(ei,Ar,ct,ar)}))}})}})}function Le(at,ct){return at.y0>ct.y0&&at.y0<ct.y1||at.y1>ct.y0&&at.y1<ct.y1?!0:at.y0<ct.y0&&at.y1>ct.y1}function me(at,ct,ar,Vt){return at.y0+ct>=ar&&at.y1+ct<=Vt&&(at.y0=at.y0+ct,at.y1=at.y1+ct,at.targetLinks.forEach(function(rr){rr.y1=rr.y1+ct}),at.sourceLinks.forEach(function(rr){rr.y0=rr.y0+ct})),at}function Pe(at,ct,ar,Vt){at.nodes.forEach(function(rr){Vt&&rr.y+(rr.y1-rr.y0)>ct&&(rr.y=rr.y-(rr.y+(rr.y1-rr.y0)-ct));var tt=at.links.filter(function(Ae){return C(Ae.source,ar)==C(rr,ar)}),je=tt.length;je>1&&tt.sort(function(Ae,rt){if(!Ae.circular&&!rt.circular){if(Ae.target.column==rt.target.column)return Ae.y1-rt.y1;if(He(Ae,rt)){if(Ae.target.column>rt.target.column){var St=be(rt,Ae);return Ae.y1-St}if(rt.target.column>Ae.target.column){var Tt=be(Ae,rt);return Tt-rt.y1}}else return Ae.y1-rt.y1}if(Ae.circular&&!rt.circular)return Ae.circularLinkType==\"top\"?-1:1;if(rt.circular&&!Ae.circular)return rt.circularLinkType==\"top\"?1:-1;if(Ae.circular&&rt.circular)return Ae.circularLinkType===rt.circularLinkType&&Ae.circularLinkType==\"top\"?Ae.target.column===rt.target.column?Ae.target.y1-rt.target.y1:rt.target.column-Ae.target.column:Ae.circularLinkType===rt.circularLinkType&&Ae.circularLinkType==\"bottom\"?Ae.target.column===rt.target.column?rt.target.y1-Ae.target.y1:Ae.target.column-rt.target.column:Ae.circularLinkType==\"top\"?-1:1});var Ue=rr.y0;tt.forEach(function(Ae){Ae.y0=Ue+Ae.width/2,Ue=Ue+Ae.width}),tt.forEach(function(Ae,rt){if(Ae.circularLinkType==\"bottom\"){var St=rt+1,Tt=0;for(St;St<je;St++)Tt=Tt+tt[St].width;Ae.y0=rr.y1-Tt-Ae.width/2}})})}function ce(at,ct,ar){at.nodes.forEach(function(Vt){var rr=at.links.filter(function(Ue){return C(Ue.target,ar)==C(Vt,ar)}),tt=rr.length;tt>1&&rr.sort(function(Ue,Ae){if(!Ue.circular&&!Ae.circular){if(Ue.source.column==Ae.source.column)return Ue.y0-Ae.y0;if(He(Ue,Ae)){if(Ae.source.column<Ue.source.column){var rt=ke(Ae,Ue);return Ue.y0-rt}if(Ue.source.column<Ae.source.column){var St=ke(Ue,Ae);return St-Ae.y0}}else return Ue.y0-Ae.y0}if(Ue.circular&&!Ae.circular)return Ue.circularLinkType==\"top\"?-1:1;if(Ae.circular&&!Ue.circular)return Ae.circularLinkType==\"top\"?1:-1;if(Ue.circular&&Ae.circular)return Ue.circularLinkType===Ae.circularLinkType&&Ue.circularLinkType==\"top\"?Ue.source.column===Ae.source.column?Ue.source.y1-Ae.source.y1:Ue.source.column-Ae.source.column:Ue.circularLinkType===Ae.circularLinkType&&Ue.circularLinkType==\"bottom\"?Ue.source.column===Ae.source.column?Ue.source.y1-Ae.source.y1:Ae.source.column-Ue.source.column:Ue.circularLinkType==\"top\"?-1:1});var je=Vt.y0;rr.forEach(function(Ue){Ue.y1=je+Ue.width/2,je=je+Ue.width}),rr.forEach(function(Ue,Ae){if(Ue.circularLinkType==\"bottom\"){var rt=Ae+1,St=0;for(rt;rt<tt;rt++)St=St+rr[rt].width;Ue.y1=Vt.y1-St-Ue.width/2}})})}function He(at,ct){return lt(at)==lt(ct)}function lt(at){return at.y0-at.y1>0?\"up\":\"down\"}function mt(at,ct){return C(at.source,ct)==C(at.target,ct)}function Ht(at,ct,ar){var Vt=at.nodes,rr=at.links,tt=!1,je=!1;if(rr.forEach(function(dt){dt.circularLinkType==\"top\"?tt=!0:dt.circularLinkType==\"bottom\"&&(je=!0)}),tt==!1||je==!1){var Ue=t.min(Vt,function(dt){return dt.y0}),Ae=t.max(Vt,function(dt){return dt.y1}),rt=Ae-Ue,St=ar-ct,Tt=St/rt;Vt.forEach(function(dt){var Et=(dt.y1-dt.y0)*Tt;dt.y0=(dt.y0-Ue)*Tt,dt.y1=dt.y0+Et}),rr.forEach(function(dt){dt.y0=(dt.y0-Ue)*Tt,dt.y1=(dt.y1-Ue)*Tt,dt.width=dt.width*Tt})}}e.sankeyCircular=E,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})}))});var i$=ye((U2r,uXe)=>{\"use strict\";uXe.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var wXe=ye((V2r,bXe)=>{\"use strict\";var cXe=QWe(),xYt=(W2(),gb(j2)).interpolateNumber,N5=Fa(),lC=nXe(),bYt=lXe(),Nu=i$(),U5=fd(),xw=ka(),wYt=So(),T1=Pr(),o$=T1.strTranslate,TYt=T1.strRotate,s$=ay(),uC=s$.keyFun,F7=s$.repeat,gXe=s$.unwrap,fXe=Zl(),AYt=Oa(),mXe=Dh(),SYt=mXe.CAP_SHIFT,MYt=mXe.LINE_SPACING,EYt=3;function kYt(e,t,r){var n=gXe(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:lC.sankeyJustify,left:lC.sankeyLeft,right:lC.sankeyRight,center:lC.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,m;v?m=bYt.sankeyCircular().circularLinkGap(0):m=lC.sankey(),m.iterations(Nu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=m();m.nodePadding()<s&&T1.warn(\"node.pad was reduced to \",m.nodePadding(),\" to fit within the figure.\");var p,k,M;for(var T in n._groupLookup){var L=parseInt(n._groupLookup[T]),x;for(p=0;p<b.nodes.length;p++)if(b.nodes[p].pointNumber===L){x=b.nodes[p];break}if(x){var C={pointNumber:parseInt(T),x0:x.x0,x1:x.x1,y0:x.y0,y1:x.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(C),x.childrenNodes.unshift(C)}}function S(){for(p=0;p<b.nodes.length;p++){var V=b.nodes[p],G={},Z,j;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],Z=j.source.pointNumber+\":\"+j.target.pointNumber,G.hasOwnProperty(Z)||(G[Z]=[]),G[Z].push(j);var N=Object.keys(G);for(k=0;k<N.length;k++){Z=N[k];var H=G[Z],re=0,ae={};for(M=0;M<H.length;M++)j=H[M],ae[j.label]||(ae[j.label]=0),ae[j.label]+=j.value,re+=j.value;for(M=0;M<H.length;M++)j=H[M],j.flow={value:re,labelConcentration:ae[j.label]/re,concentration:j.value/re,links:H},j.concentrationscale&&(j.color=U5(j.concentrationscale(j.flow.labelConcentration)))}var _e=0;for(k=0;k<V.sourceLinks.length;k++)_e+=V.sourceLinks[k].value;for(k=0;k<V.sourceLinks.length;k++)j=V.sourceLinks[k],j.concentrationOut=j.value/_e;var Ee=0;for(k=0;k<V.targetLinks.length;k++)Ee+=V.targetLinks[k].value;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],j.concenrationIn=j.value/Ee}}S();function g(V){V.forEach(function(G){var Z,j,N=0,H=G.length,re;for(G.sort(function(ae,_e){return ae.y0-_e.y0}),re=0;re<H;++re)Z=G[re],Z.y0>=N||(j=N-Z.y0,j>1e-6&&(Z.y0+=j,Z.y1+=j)),N=Z.y1+s})}function P(V){var G=V.map(function(_e,Ee){return{x0:_e.x0,index:Ee}}).sort(function(_e,Ee){return _e.x0-Ee.x0}),Z=[],j=-1,N,H=-1/0,re;for(p=0;p<G.length;p++){var ae=V[G[p].index];ae.x0>H+l&&(j+=1,N=ae.x0),H=ae.x0,Z[j]||(Z[j]=[]),Z[j].push(ae),re=N-ae.x0,ae.x0+=re,ae.x1+=re}return Z}if(i.node.x.length&&i.node.y.length){for(p=0;p<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);p++)if(i.node.x[p]&&i.node.y[p]){var E=[i.node.x[p]*c,i.node.y[p]*f];b.nodes[p].x0=E[0]-l/2,b.nodes[p].x1=E[0]+l/2;var z=b.nodes[p].y1-b.nodes[p].y0;b.nodes[p].y0=E[1]-z/2,b.nodes[p].y1=E[1]+z/2}if(i.arrangement===\"snap\"){h=b.nodes;var q=P(h);g(q)}m.update(b)}return{circular:v,key:r,trace:i,guid:T1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:m,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function CYt(e,t,r){var n=U5(t.color),i=U5(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:xw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:xw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:l$,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function LYt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" L \"+(i.rightFullExtent+n-(i.rightLargeArcRadius-n)-t)+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent-n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L \"+i.targetX+\" \"+i.targetY:\"\")+\"Z\"):(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY-n)+\"  L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY+i.rightSmallArcRadius)+\" L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-n-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent-t-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent+n-t+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent-t-n)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L 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IXe=ye(bw=>{\"use strict\";var VYt=mc().overrideAll,GYt=Id().getModuleCalcData,HYt=f$(),jYt=X1(),WYt=Eg(),XYt=yv(),ZYt=qf().prepSelect,h$=Pr(),YYt=Oa(),q7=\"sankey\";bw.name=q7;bw.baseLayoutAttrOverrides=VYt({hoverlabel:jYt.hoverlabel},\"plot\",\"nested\");bw.plot=function(e){var t=GYt(e.calcdata,q7)[0];HYt(e,t),bw.updateFx(e)};bw.clean=function(e,t,r,n){var i=n._has&&n._has(q7),a=t._has&&t._has(q7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};bw.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)KYt(e,t)};function KYt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){WYt(o,a);var s={_id:\"x\",c2p:h$.identity,_offset:r._sankey.translateX,_length:r._sankey.width},l={_id:\"y\",c2p:h$.identity,_offset:r._sankey.translateY,_length:r._sankey.height},u={gd:e,element:o.node(),plotinfo:{id:t,xaxis:s,yaxis:l,fillRangeItems:h$.noop},subplot:t,xaxes:[s],yaxes:[l],doneFnCompleted:function(c){var f=e._fullData[t],h,d=f.node.groups.slice(),v=[];function m(M){for(var T=f._sankey.graph.nodes,L=0;L<T.length;L++)if(T[L].pointNumber===M)return T[L]}for(var b=0;b<c.length;b++){var p=m(c[b].pointNumber);if(p)if(p.group){for(var k=0;k<p.childrenNodes.length;k++)v.push(p.childrenNodes[k].pointNumber);d[p.pointNumber-f.node._count]=!1}else v.push(p.pointNumber)}h=d.filter(Boolean).concat([v]),YYt.call(\"_guiRestyle\",e,{\"node.groups\":[h]},t)}};u.prepFn=function(c,f,h){ZYt(c,f,h,u,i)},XYt.init(u)}}});var DXe=ye((j2r,RXe)=>{\"use strict\";RXe.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s<o.length;s++){var l=o[s];if(!l.partOfGroup){var 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zx=Ao().extendFlat,VXe=Ao().extendDeep,JYt=mc().overrideAll,GXe=ec(),HXe=Ih(),$Yt=Cc().attributes,Nf=Rd(),QYt=vl().templatedArray,O7=tA(),UXe=vf().descriptionOnlyNumbers,d$=GXe({editType:\"plot\",colorEditType:\"plot\"}),fC={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:HXe.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},jXe={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},eKt=QYt(\"step\",VXe({},fC,{range:jXe}));WXe.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:$Yt({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:zx({},d$,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:UXe(\"value\")},font:zx({},d$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\",description:UXe(\"value\")},increasing:{symbol:{valType:\"string\",dflt:O7.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:O7.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:O7.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:O7.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:zx({},d$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:VXe({},fC,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:HXe.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:JYt({range:jXe,visible:zx({},Nf.visible,{dflt:!0}),tickmode:Nf.minor.tickmode,nticks:Nf.nticks,tick0:Nf.tick0,dtick:Nf.dtick,tickvals:Nf.tickvals,ticktext:Nf.ticktext,ticks:zx({},Nf.ticks,{dflt:\"outside\"}),ticklen:Nf.ticklen,tickwidth:Nf.tickwidth,tickcolor:Nf.tickcolor,ticklabelstep:Nf.ticklabelstep,showticklabels:Nf.showticklabels,labelalias:Nf.labelalias,tickfont:GXe({}),tickangle:Nf.tickangle,tickformat:Nf.tickformat,tickformatstops:Nf.tickformatstops,tickprefix:Nf.tickprefix,showtickprefix:Nf.showtickprefix,ticksuffix:Nf.ticksuffix,showticksuffix:Nf.showticksuffix,separatethousands:Nf.separatethousands,exponentformat:Nf.exponentformat,minexponent:Nf.minexponent,showexponent:Nf.showexponent,editType:\"plot\"},\"plot\"),steps:eKt,threshold:{line:{color:zx({},fC.line.color,{}),width:zx({},fC.line.width,{dflt:1}),editType:\"plot\"},thickness:zx({},fC.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}});var p$=ye((K2r,XXe)=>{\"use strict\";XXe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var KXe=ye((J2r,YXe)=>{\"use strict\";var uy=Pr(),N7=v$(),tKt=Cc().defaults,ZXe=vl(),rKt=Kd(),B7=p$(),iKt=Pb(),nKt=B3(),aKt=l_(),oKt=u_();function sKt(e,t,r,n){function i(x,C){return uy.coerce(e,t,N7,x,C)}tKt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=uy.extendFlat({},n.font);l.size=void 0,uy.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=B7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=uy.extendFlat({},n.font);c.size=void 0,uy.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||B7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=uy.extendFlat({},n.font);f.size=.25*(s||u||B7.defaultNumberFontSize),uy.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,m;function b(x,C){return uy.coerce(h,d,N7.gauge,x,C)}function p(x,C){return uy.coerce(v,m,N7.gauge.axis,x,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=ZXe.newContainer(t,\"gauge\"),b(\"shape\");var k=t._isBullet=t.gauge.shape===\"bullet\";k||i(\"title.align\",\"center\");var M=t._isAngular=t.gauge.shape===\"angular\";M||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var T=B7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",T),rKt(h,d,{name:\"steps\",handleItemDefaults:lKt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),m=ZXe.newContainer(d,\"axis\"),p(\"visible\"),t._range=p(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};iKt(v,m,p,\"linear\"),oKt(v,m,p,\"linear\",L),aKt(v,m,p,\"linear\",L),nKt(v,m,p,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function lKt(e,t){function r(n,i){return uy.coerce(e,t,N7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}YXe.exports={supplyDefaults:sKt}});var $Xe=ye(($2r,JXe)=>{\"use strict\";function uKt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}JXe.exports={calc:uKt}});var nZe=ye((Q2r,iZe)=>{\"use strict\";var Mw=Fa(),cKt=(W2(),gb(j2)).interpolate,QXe=(W2(),gb(j2)).interpolateNumber,qx=Pr(),fKt=qx.strScale,dC=qx.strTranslate,hKt=qx.rad2deg,dKt=Dh().MID_SHIFT,Sw=So(),ww=p$(),V7=Zl(),lv=ho(),vKt=v4(),pKt=gI(),gKt=Rd(),j5=ka(),g$={left:\"start\",center:\"middle\",right:\"end\"},Tw={left:0,center:.5,right:1},eZe=/[yzafpn\u00b5mkMGTPEZY]/;function vC(e){return e&&e.duration>0}iZe.exports=function(t,r,n,i){var a=t._fullLayout,o;vC(n)&&i&&(o=i()),qx.makeTraceGroups(a._indicatorlayer,r,\"trace\").each(function(s){var l=s[0],u=l.trace,c=Mw.select(this),f=u._hasGauge,h=u._isAngular,d=u._isBullet,v=u.domain,m={w:a._size.w*(v.x[1]-v.x[0]),h:a._size.h*(v.y[1]-v.y[0]),l:a._size.l+a._size.w*v.x[0],r:a._size.r+a._size.w*(1-v.x[1]),t:a._size.t+a._size.h*(1-v.y[1]),b:a._size.b+a._size.h*v.y[0]},b=m.l+m.w/2,p=m.t+m.h/2,k=Math.min(m.w/2,m.h),M=ww.innerRadius*k,T,L,x,C=u.align||\"center\";if(L=p,!f)T=m.l+Tw[C]*m.w,x=function(j){return tZe(j,m.w,m.h)};else if(h&&(T=b,L=p+k/2,x=function(j){return bKt(j,.9*M)}),d){var S=ww.bulletPadding,g=1-ww.bulletNumberDomainSize+S;T=m.l+(g+(1-g)*Tw[C])*m.w,x=function(j){return tZe(j,(ww.bulletNumberDomainSize-S)*m.w,m.h)}}_Kt(t,c,s,{numbersX:T,numbersY:L,numbersScaler:x,transitionOpts:n,onComplete:o});var P,E;f&&(P={range:u.gauge.axis.range,color:u.gauge.bgcolor,line:{color:u.gauge.bordercolor,width:0},thickness:1},E={range:u.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:u.gauge.bordercolor,width:u.gauge.borderwidth},thickness:1});var z=c.selectAll(\"g.angular\").data(h?s:[]);z.exit().remove();var q=c.selectAll(\"g.angularaxis\").data(h?s:[]);q.exit().remove(),h&&yKt(t,c,s,{radius:k,innerRadius:M,gauge:z,layer:q,size:m,gaugeBg:P,gaugeOutline:E,transitionOpts:n,onComplete:o});var V=c.selectAll(\"g.bullet\").data(d?s:[]);V.exit().remove();var G=c.selectAll(\"g.bulletaxis\").data(d?s:[]);G.exit().remove(),d&&mKt(t,c,s,{gauge:V,layer:G,size:m,gaugeBg:P,gaugeOutline:E,transitionOpts:n,onComplete:o});var Z=c.selectAll(\"text.title\").data(s);Z.exit().remove(),Z.enter().append(\"text\").classed(\"title\",!0),Z.attr(\"text-anchor\",function(){return d?g$.right:g$[u.title.align]}).text(u.title.text).call(Sw.font,u.title.font).call(V7.convertToTspans,t),Z.attr(\"transform\",function(){var j=m.l+m.w*Tw[u.title.align],N,H=ww.titlePadding,re=Sw.bBox(Z.node());if(f){if(h)if(u.gauge.axis.visible){var ae=Sw.bBox(q.node());N=ae.top-H-re.bottom}else N=m.t+m.h/2-k/2-re.bottom-H;d&&(N=L-(re.top+re.bottom)/2,j=m.l-ww.bulletPadding*m.w)}else N=u._numbersTop-H-re.bottom;return dC(j,N)})})};function mKt(e,t,r,n){var i=r[0].trace,a=n.gauge,o=n.layer,s=n.gaugeBg,l=n.gaugeOutline,u=n.size,c=i.domain,f=n.transitionOpts,h=n.onComplete,d,v,m,b,p;a.enter().append(\"g\").classed(\"bullet\",!0),a.attr(\"transform\",dC(u.l,u.t)),o.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),o.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=u.h,M=i.gauge.bar.thickness*k,T=c.x[0],L=c.x[0]+(c.x[1]-c.x[0])*(i._hasNumber||i._hasDelta?1-ww.bulletNumberDomainSize:1);d=hC(e,i.gauge.axis),d._id=\"xbulletaxis\",d.domain=[T,L],d.setScale(),v=lv.calcTicks(d),m=lv.makeTransTickFn(d),b=lv.getTickSigns(d)[2],p=u.t+u.h,d.visible&&(lv.drawTicks(e,d,{vals:d.ticks===\"inside\"?lv.clipEnds(d,v):v,layer:o,path:lv.makeTickPath(d,p,b),transFn:m}),lv.drawLabels(e,d,{vals:v,layer:o,transFn:m,labelFns:lv.makeLabelFns(d,p)}));function x(q){q.attr(\"width\",function(V){return Math.max(0,d.c2p(V.range[1])-d.c2p(V.range[0]))}).attr(\"x\",function(V){return d.c2p(V.range[0])}).attr(\"y\",function(V){return .5*(1-V.thickness)*k}).attr(\"height\",function(V){return V.thickness*k})}var C=[s].concat(i.gauge.steps),S=a.selectAll(\"g.bg-bullet\").data(C);S.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),S.select(\"rect\").call(x).call(Aw),S.exit().remove();var g=a.selectAll(\"g.value-bullet\").data([i.gauge.bar]);g.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),g.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(Aw),vC(f)?g.select(\"rect\").transition().duration(f.duration).ease(f.easing).each(\"end\",function(){h&&h()}).each(\"interrupt\",function(){h&&h()}).attr(\"width\",Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y)))):g.select(\"rect\").attr(\"width\",typeof r[0].y==\"number\"?Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y))):0),g.exit().remove();var 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f=eS(e,Q5([t,0])),h=f[0],d=f[1];return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(0<r?0:1)+\" \"+h+\",\"+d,\"A\"+i+\",\"+i+\" 0 0,\"+(n<0?0:1)+u+\",\"+c].join(\" \")}return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(n<r?0:1)+\" \"+u+\",\"+c].join(\" \")}QJe.exports={smith:Q5,reactanceArc:yQt,resistanceArc:_Qt,smithTransform:eS}});var aQ=ye((b3r,l$e)=>{\"use strict\";var Cw=Fa(),xQt=fd(),Pw=Oa(),Xc=Pr(),fy=Xc.strRotate,xd=Xc.strTranslate,iQ=ka(),bC=So(),bQt=Mc(),pp=ho(),wQt=xm(),TQt=Q$(),AQt=Mg().doAutoRange,M1=YN(),w9=yv(),e$e=ef(),SQt=qb(),MQt=qf().prepSelect,EQt=qf().selectOnClick,nQ=qf().clearOutline,t$e=Eg(),r$e=SM(),i$e=RM().redrawReglTraces,kQt=Dh().MID_SHIFT,Nx=m9(),E1=_9(),T9=rQ(),x9=T9.smith,CQt=T9.reactanceArc,LQt=T9.resistanceArc,b9=T9.smithTransform,PQt=Xc._,n$e=Xc.mod,Ux=Xc.deg2rad,Lw=Xc.rad2deg;function a$e(e,t,r){this.isSmith=r||!1,this.id=t,this.gd=e,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=e._fullLayout,i=\"clip\"+n._uid+t;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",t),this.getHole=function(a){return this.isSmith?0:a.hole},this.getSector=function(a){return this.isSmith?[0,360]:a.sector},this.getRadial=function(a){return this.isSmith?a.realaxis:a.radialaxis},this.getAngular=function(a){return this.isSmith?a.imaginaryaxis:a.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var Nd=a$e.prototype;l$e.exports=function(t,r,n){return new a$e(t,r,n)};Nd.plot=function(e,t){for(var r=this,n=t[r.id],i=!1,a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){i=!0;break}}r._hasClipOnAxisFalse=i,r.updateLayers(t,n),r.updateLayout(t,n),bQt.generalUpdatePerTraceModule(r.gd,r,e,n),r.updateFx(t,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)};Nd.updateLayers=function(e,t){var r=this,n=r.isSmith,i=r.layers,a=r.getRadial(t),o=r.getAngular(t),s=Nx.layerNames,l=s.indexOf(\"frontplot\"),u=s.slice(0,l),c=o.layer===\"below traces\",f=a.layer===\"below traces\";c&&u.push(\"angular-line\"),f&&u.push(\"radial-line\"),c&&u.push(\"angular-axis\"),f&&u.push(\"radial-axis\"),u.push(\"frontplot\"),c||u.push(\"angular-line\"),f||u.push(\"radial-line\"),c||u.push(\"angular-axis\"),f||u.push(\"radial-axis\");var h=(n?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+h).data(u,String);d.enter().append(\"g\").attr(\"class\",function(v){return h+\" \"+v}).each(function(v){var m=i[v]=Cw.select(this);switch(v){case\"frontplot\":n||m.append(\"g\").classed(\"barlayer\",!0),m.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":m.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":i.bg=m.append(\"path\");break;case\"radial-grid\":m.style(\"fill\",\"none\");break;case\"angular-grid\":m.style(\"fill\",\"none\");break;case\"radial-line\":m.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":m.append(\"path\").style(\"fill\",\"none\");break}}),d.order()};Nd.updateLayout=function(e,t){var r=this,n=r.layers,i=e._size,a=r.getRadial(t),o=r.getAngular(t),s=t.domain.x,l=t.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-l[1]);var u=r.xLength=i.w*(s[1]-s[0]),c=r.yLength=i.h*(l[1]-l[0]),f=r.getSector(t);r.sectorInRad=f.map(Ux);var h=r.sectorBBox=IQt(f),d=h[2]-h[0],v=h[3]-h[1],m=c/u,b=Math.abs(v/d),p,k,M,T,L;m>b?(p=u,k=u*b,L=(c-k)/i.h/2,M=[s[0],s[1]],T=[l[0]+L,l[1]-L]):(p=c/b,k=c,L=(u-p)/i.w/2,M=[s[0]+L,s[1]-L],T=[l[0],l[1]]),r.xLength2=p,r.yLength2=k,r.xDomain2=M,r.yDomain2=T;var x=r.xOffset2=i.l+i.w*M[0],C=r.yOffset2=i.t+i.h*(1-T[1]),S=r.radius=p/d,g=r.innerRadius=r.getHole(t)*S,P=r.cx=x-S*h[0],E=r.cy=C+S*h[3],z=r.cxx=P-x,q=r.cyy=E-C,V=a.side,G;V===\"counterclockwise\"?(G=V,V=\"top\"):V===\"clockwise\"&&(G=V,V=\"bottom\"),r.radialAxis=r.mockAxis(e,t,a,{_id:\"x\",side:V,_trueSide:G,domain:[g/i.w,S/i.w]}),r.angularAxis=r.mockAxis(e,t,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(e,t),r.updateAngularAxis(e,t),r.updateRadialAxis(e,t),r.updateRadialAxisTitle(e,t),r.xaxis=r.mockCartesianAxis(e,t,{_id:\"x\",domain:M}),r.yaxis=r.mockCartesianAxis(e,t,{_id:\"y\",domain:T});var Z=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",Z).attr(\"transform\",xd(z,q)),n.frontplot.attr(\"transform\",xd(x,C)).call(bC.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",Z).attr(\"transform\",xd(P,E)).call(iQ.fill,t.bgcolor)};Nd.mockAxis=function(e,t,r,n){var i=Xc.extendFlat({},r,n);return TQt(i,t,e),i};Nd.mockCartesianAxis=function(e,t,r){var n=this,i=n.isSmith,a=r._id,o=Xc.extendFlat({type:\"linear\"},r);wQt(o,e);var s={x:[0,2],y:[1,3]};return o.setRange=function(){var l=n.sectorBBox,u=s[a],c=n.radialAxis._rl,f=(c[1]-c[0])/(1-n.getHole(t));o.range=[l[u[0]]*f,l[u[1]]*f]},o.isPtWithinRange=a===\"x\"&&!i?function(l){return n.isPtInside(l)}:function(){return!0},o.setRange(),o.setScale(),o};Nd.doAutoRange=function(e,t){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(t);AQt(n,i);var o=i.range;if(a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")],i.minallowed!==void 0){var s=i.r2l(i.minallowed);i._rl[0]>i._rl[1]?i._rl[1]=Math.max(i._rl[1],s):i._rl[0]=Math.max(i._rl[0],s)}if(i.maxallowed!==void 0){var l=i.r2l(i.maxallowed);i._rl[0]<i._rl[1]?i._rl[1]=Math.min(i._rl[1],l):i._rl[0]=Math.min(i._rl[0],l)}};Nd.updateRadialAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getRadial(t),c=n$e(r.getSector(t)[0],360),f=r.radialAxis,h=o<a,d=r.isSmith;d||(r.fillViewInitialKey(\"radialaxis.angle\",u.angle),r.fillViewInitialKey(\"radialaxis.range\",f.range.slice()),f.setGeometry()),f.tickangle===\"auto\"&&c>90&&c<=270&&(f.tickangle=180);var v=d?function(S){var g=b9(r,x9([S.x,0]));return xd(g[0]-s,g[1]-l)}:function(S){return xd(f.l2p(S.x)+o,0)},m=d?function(S){return LQt(r,S.x,-1/0,1/0)}:function(S){return r.pathArc(f.r2p(S.x)+o)},b=o$e(u);if(r.radialTickLayout!==b&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=b),h){f.setScale();var p=0,k=d?(f.tickvals||[]).filter(function(S){return S>=0}).map(function(S){return pp.tickText(f,S,!0,!1)}):pp.calcTicks(f),M=d?k:pp.clipEnds(f,k),T=pp.getTickSigns(f)[2];d&&((f.ticks===\"top\"&&f.side===\"bottom\"||f.ticks===\"bottom\"&&f.side===\"top\")&&(T=-T),f.ticks===\"top\"&&f.side===\"top\"&&(p=-f.ticklen),f.ticks===\"bottom\"&&f.side===\"bottom\"&&(p=f.ticklen)),pp.drawTicks(n,f,{vals:k,layer:i[\"radial-axis\"],path:pp.makeTickPath(f,0,T),transFn:v,crisp:!1}),pp.drawGrid(n,f,{vals:M,layer:i[\"radial-grid\"],path:m,transFn:Xc.noop,crisp:!1}),pp.drawLabels(n,f,{vals:k,layer:i[\"radial-axis\"],transFn:v,labelFns:pp.makeLabelFns(f,p)})}var L=r.radialAxisAngle=r.vangles?Lw(s$e(Ux(u.angle),r.vangles)):u.angle,x=xd(s,l),C=x+fy(-L);wC(i[\"radial-axis\"],h&&(u.showticklabels||u.ticks),{transform:C}),wC(i[\"radial-grid\"],h&&u.showgrid,{transform:d?\"\":x}),wC(i[\"radial-line\"].select(\"line\"),h&&u.showline,{x1:d?-a:o,y1:0,x2:a,y2:0,transform:C}).attr(\"stroke-width\",u.linewidth).call(iQ.stroke,u.linecolor)};Nd.updateRadialAxisTitle=function(e,t,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(t),u=n.id+\"title\",c=0;if(l.title){var f=bC.bBox(n.layers[\"radial-axis\"].node()).height,h=l.title.font.size,d=l.side;c=d===\"top\"?h:d===\"counterclockwise\"?-(f+h*.4):f+h*.8}var v=r!==void 0?r:n.radialAxisAngle,m=Ux(v),b=Math.cos(m),p=Math.sin(m),k=o+a/2*b+c*p,M=s-a/2*p+c*b;n.layers[\"radial-axis-title\"]=SQt.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title.text\",placeholder:PQt(i,\"Click to enter radial axis title\"),attributes:{x:k,y:M,\"text-anchor\":\"middle\"},transform:{rotate:-v}})}};Nd.updateAngularAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getAngular(t),c=r.angularAxis,f=r.isSmith;f||(r.fillViewInitialKey(\"angularaxis.rotation\",u.rotation),c.setGeometry(),c.setScale());var h=f?function(g){var P=b9(r,x9([0,g.x]));return Math.atan2(P[0]-s,P[1]-l)-Math.PI/2}:function(g){return c.t2g(g.x)};c.type===\"linear\"&&c.thetaunit===\"radians\"&&(c.tick0=Lw(c.tick0),c.dtick=Lw(c.dtick));var d=function(g){return xd(s+a*Math.cos(g),l-a*Math.sin(g))},v=f?function(g){var P=b9(r,x9([0,g.x]));return xd(P[0],P[1])}:function(g){return d(h(g))},m=f?function(g){var P=b9(r,x9([0,g.x])),E=Math.atan2(P[0]-s,P[1]-l)-Math.PI/2;return xd(P[0],P[1])+fy(-Lw(E))}:function(g){var P=h(g);return d(P)+fy(-Lw(P))},b=f?function(g){return CQt(r,g.x,0,1/0)}:function(g){var P=h(g),E=Math.cos(P),z=Math.sin(P);return\"M\"+[s+o*E,l-o*z]+\"L\"+[s+a*E,l-a*z]},p=pp.makeLabelFns(c,0),k=p.labelStandoff,M={};M.xFn=function(g){var P=h(g);return Math.cos(P)*k},M.yFn=function(g){var P=h(g),E=Math.sin(P)>0?.2:1;return-Math.sin(P)*(k+g.fontSize*E)+Math.abs(Math.cos(P))*(g.fontSize*kQt)},M.anchorFn=function(g){var P=h(g),E=Math.cos(P);return Math.abs(E)<.1?\"middle\":E>0?\"start\":\"end\"},M.heightFn=function(g,P,E){var z=h(g);return-.5*(1+Math.sin(z))*E};var T=o$e(u);r.angularTickLayout!==T&&(i[\"angular-axis\"].selectAll(\".\"+c._id+\"tick\").remove(),r.angularTickLayout=T);var L=f?[1/0].concat(c.tickvals||[]).map(function(g){return pp.tickText(c,g,!0,!1)}):pp.calcTicks(c);f&&(L[0].text=\"\\u221E\",L[0].fontSize*=1.75);var x;if(t.gridshape===\"linear\"?(x=L.map(h),Xc.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,c.type===\"category\"&&(L=L.filter(function(g){return Xc.isAngleInsideSector(h(g),r.sectorInRad)})),c.visible){var C=c.ticks===\"inside\"?-1:1,S=(c.linewidth||1)/2;pp.drawTicks(n,c,{vals:L,layer:i[\"angular-axis\"],path:\"M\"+C*S+\",0h\"+C*c.ticklen,transFn:m,crisp:!1}),pp.drawGrid(n,c,{vals:L,layer:i[\"angular-grid\"],path:b,transFn:Xc.noop,crisp:!1}),pp.drawLabels(n,c,{vals:L,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:v,labelFns:M})}wC(i[\"angular-line\"].select(\"path\"),u.showline,{d:r.pathSubplot(),transform:xd(s,l)}).attr(\"stroke-width\",u.linewidth).call(iQ.stroke,u.linecolor)};Nd.updateFx=function(e,t){if(!this.gd._context.staticPlot){var r=!this.isSmith;r&&(this.updateAngularDrag(e),this.updateRadialDrag(e,t,0),this.updateRadialDrag(e,t,1)),this.updateHoverAndMainDrag(e)}};Nd.updateHoverAndMainDrag=function(e){var t=this,r=t.isSmith,n=t.gd,i=t.layers,a=e._zoomlayer,o=Nx.MINZOOM,s=Nx.OFFEDGE,l=t.radius,u=t.innerRadius,c=t.cx,f=t.cy,h=t.cxx,d=t.cyy,v=t.sectorInRad,m=t.vangles,b=t.radialAxis,p=E1.clampTiny,k=E1.findXYatLength,M=E1.findEnclosingVertexAngles,T=Nx.cornerHalfWidth,L=Nx.cornerLen/2,x,C,S=M1.makeDragger(i,\"path\",\"maindrag\",e.dragmode===!1?\"none\":\"crosshair\");Cw.select(S).attr(\"d\",t.pathSubplot()).attr(\"transform\",xd(c,f)),S.onmousemove=function(ce){e$e.hover(n,ce,t.id),n._fullLayout._lasthover=S,n._fullLayout._hoversubplot=t.id},S.onmouseout=function(ce){n._dragging||w9.unhover(n,ce)};var g={element:S,gd:n,subplot:t.id,plotinfo:{id:t.id,xaxis:t.xaxis,yaxis:t.yaxis},xaxes:[t.xaxis],yaxes:[t.yaxis]},P,E,z,q,V,G,Z,j,N;function H(ce,He){return Math.sqrt(ce*ce+He*He)}function re(ce,He){return H(ce-h,He-d)}function ae(ce,He){return Math.atan2(d-He,ce-h)}function _e(ce,He){return[ce*Math.cos(He),ce*Math.sin(-He)]}function Ee(ce,He){if(ce===0)return t.pathSector(2*T);var lt=L/ce,mt=He-lt,Ht=He+lt,at=Math.max(0,Math.min(ce,l)),ct=at-T,ar=at+T;return\"M\"+_e(ct,mt)+\"A\"+[ct,ct]+\" 0,0,0 \"+_e(ct,Ht)+\"L\"+_e(ar,Ht)+\"A\"+[ar,ar]+\" 0,0,1 \"+_e(ar,mt)+\"Z\"}function Ce(ce,He,lt){if(ce===0)return t.pathSector(2*T);var mt=_e(ce,He),Ht=_e(ce,lt),at=p((mt[0]+Ht[0])/2),ct=p((mt[1]+Ht[1])/2),ar,Vt;if(at&&ct){var rr=ct/at,tt=-1/rr,je=k(T,rr,at,ct);ar=k(L,tt,je[0][0],je[0][1]),Vt=k(L,tt,je[1][0],je[1][1])}else{var Ue,Ae;ct?(Ue=L,Ae=T):(Ue=T,Ae=L),ar=[[at-Ue,ct-Ae],[at+Ue,ct-Ae]],Vt=[[at-Ue,ct+Ae],[at+Ue,ct+Ae]]}return\"M\"+ar.join(\"L\")+\"L\"+Vt.reverse().join(\"L\")+\"Z\"}function ge(){z=null,q=null,V=t.pathSubplot(),G=!1;var ce=n._fullLayout[t.id];Z=xQt(ce.bgcolor).getLuminance(),j=M1.makeZoombox(a,Z,c,f,V),j.attr(\"fill-rule\",\"evenodd\"),N=M1.makeCorners(a,c,f),nQ(n)}function ie(ce,He){return He=Math.max(Math.min(He,l),u),ce<s?ce=0:l-ce<s?ce=l:He<s?He=0:l-He<s&&(He=l),Math.abs(He-ce)>o?(ce<He?(z=ce,q=He):(z=He,q=ce),!0):(z=null,q=null,!1)}function Se(ce,He){ce=ce||V,He=He||\"M0,0Z\",j.attr(\"d\",ce),N.attr(\"d\",He),M1.transitionZoombox(j,N,G,Z),G=!0;var lt={};me(lt),n.emit(\"plotly_relayouting\",lt)}function ke(ce,He){ce=ce*x,He=He*C;var lt=P+ce,mt=E+He,Ht=re(P,E),at=Math.min(re(lt,mt),l),ct=ae(P,E),ar,Vt;ie(Ht,at)&&(ar=V+t.pathSector(q),z&&(ar+=t.pathSector(z)),Vt=Ee(z,ct)+Ee(q,ct)),Se(ar,Vt)}function be(ce,He,lt,mt){var Ht=E1.findIntersectionXY(lt,mt,lt,[ce-h,d-He]);return H(Ht[0],Ht[1])}function Be(ce,He){var lt=P+ce,mt=E+He,Ht=ae(P,E),at=ae(lt,mt),ct=M(Ht,m),ar=M(at,m),Vt=be(P,E,ct[0],ct[1]),rr=Math.min(be(lt,mt,ar[0],ar[1]),l),tt,je;ie(Vt,rr)&&(tt=V+t.pathSector(q),z&&(tt+=t.pathSector(z)),je=[Ce(z,ct[0],ct[1]),Ce(q,ct[0],ct[1])].join(\" \")),Se(tt,je)}function Le(){if(M1.removeZoombox(n),!(z===null||q===null)){var ce={};me(ce),M1.showDoubleClickNotifier(n),Pw.call(\"_guiRelayout\",n,ce)}}function me(ce){var He=b._rl,lt=(He[1]-He[0])/(1-u/l)/l,mt=[He[0]+(z-u)*lt,He[0]+(q-u)*lt];ce[t.id+\".radialaxis.range\"]=mt}function Pe(ce,He){var lt=n._fullLayout.clickmode;if(M1.removeZoombox(n),ce===2){var mt={};for(var Ht in t.viewInitial)mt[t.id+\".\"+Ht]=t.viewInitial[Ht];n.emit(\"plotly_doubleclick\",null),Pw.call(\"_guiRelayout\",n,mt)}lt.indexOf(\"select\")>-1&&ce===1&&EQt(He,n,[t.xaxis],[t.yaxis],t.id,g),lt.indexOf(\"event\")>-1&&e$e.click(n,He,t.id)}g.prepFn=function(ce,He,lt){var mt=n._fullLayout.dragmode,Ht=S.getBoundingClientRect();n._fullLayout._calcInverseTransform(n);var at=n._fullLayout._invTransform;x=n._fullLayout._invScaleX,C=n._fullLayout._invScaleY;var ct=Xc.apply3DTransform(at)(He-Ht.left,lt-Ht.top);if(P=ct[0],E=ct[1],m){var ar=E1.findPolygonOffset(l,v[0],v[1],m);P+=h+ar[0],E+=d+ar[1]}switch(mt){case\"zoom\":g.clickFn=Pe,r||(m?g.moveFn=Be:g.moveFn=ke,g.doneFn=Le,ge(ce,He,lt));break;case\"select\":case\"lasso\":MQt(ce,He,lt,g,mt);break}},w9.init(g)};Nd.updateRadialDrag=function(e,t,r){var n=this,i=n.gd,a=n.layers,o=n.radius,s=n.innerRadius,l=n.cx,u=n.cy,c=n.radialAxis,f=Nx.radialDragBoxSize,h=f/2;if(!c.visible)return;var d=Ux(n.radialAxisAngle),v=c._rl,m=v[0],b=v[1],p=v[r],k=.75*(v[1]-v[0])/(1-n.getHole(t))/o,M,T,L;r?(M=l+(o+h)*Math.cos(d),T=u-(o+h)*Math.sin(d),L=\"radialdrag\"):(M=l+(s-h)*Math.cos(d),T=u-(s-h)*Math.sin(d),L=\"radialdrag-inner\");var x=M1.makeRectDragger(a,L,\"crosshair\",-h,-h,f,f),C={element:x,gd:i};e.dragmode===!1&&(C.dragmode=!1),wC(Cw.select(x),c.visible&&s<o,{transform:xd(M,T)});var S,g,P;function E(Z,j){if(S)S(Z,j);else{var N=[Z,-j],H=[Math.cos(d),Math.sin(d)],re=Math.abs(Xc.dot(N,H)/Math.sqrt(Xc.dot(N,N)));isNaN(re)||(S=re<.5?V:G)}var ae={};z(ae),i.emit(\"plotly_relayouting\",ae)}function z(Z){g!==null?Z[n.id+\".radialaxis.angle\"]=g:P!==null&&(Z[n.id+\".radialaxis.range[\"+r+\"]\"]=P)}function 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Otr=Id().getSubplotCalcData,Btr=Pr().counterRegex,Ntr=aQ(),zQe=pQ(),qQe=zQe.attr,Rw=zQe.name,FQe=Btr(Rw),OQe={};OQe[qQe]={valType:\"subplotid\",dflt:Rw,editType:\"calc\"};function Utr(e){for(var t=e._fullLayout,r=e.calcdata,n=t._subplots[Rw],i=0;i<n.length;i++){var a=n[i],o=Otr(r,Rw,a),s=t[a]._subplot;s||(s=Ntr(e,a,!0),t[a]._subplot=s),s.plot(o,t,e._promises)}}function Vtr(e,t,r,n){for(var i=n._subplots[Rw]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;if(!t[o]&&s){s.framework.remove();for(var l in s.clipPaths)s.clipPaths[l].remove()}}}BQe.exports={attr:qQe,name:Rw,idRoot:Rw,idRegex:FQe,attrRegex:FQe,attributes:OQe,layoutAttributes:gQ(),supplyLayoutDefaults:DQe(),plot:Utr,clean:Vtr,toSVG:mh().toSVG}});var yQ=ye((nTr,VQe)=>{\"use 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jQe=ye((aTr,HQe)=>{\"use strict\";var z9=Pr(),lS=Ru(),Xtr=$p(),Ztr=D0(),GQe=fT(),Ytr=F0(),Ktr=Fg(),Jtr=Pm().PTS_LINESONLY,$tr=yQ();HQe.exports=function(t,r,n,i){function a(l,u){return z9.coerce(t,r,$tr,l,u)}var o=Qtr(t,r,i,a);if(!o){r.visible=!1;return}a(\"mode\",o<Jtr?\"lines+markers\":\"lines\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\")),lS.hasMarkers(r)&&Xtr(t,r,n,i,a,{gradient:!0}),lS.hasLines(r)&&(Ztr(t,r,n,i,a,{backoff:!0}),GQe(t,r,a),a(\"connectgaps\")),lS.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),Ytr(t,r,i,a));var s=[];(lS.hasMarkers(r)||lS.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),s.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(Ktr(t,r,n,a),lS.hasLines(r)||GQe(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&s.push(\"fills\"),a(\"hoveron\",s.join(\"+\")||\"points\"),z9.coerceSelectionMarkerOpacity(r,a)};function Qtr(e,t,r,n){var i=n(\"real\"),a=n(\"imag\"),o;return 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i=r.layers.frontplot.select(\"g.scatterlayer\"),a=r.xaxis,o=r.yaxis,s={xaxis:a,yaxis:o,plot:r.framework,layerClipId:r._hasClipOnAxisFalse?r.clipIds.forTraces:null},l=0;l<n.length;l++)for(var u=n[l],c=0;c<u.length;c++){c===0&&(u[0].trace._xA=a,u[0].trace._yA=o);var f=u[c],h=f.real;if(h===$Qe)f.x=f.y=$Qe;else{var d=srr([h,f.imag]);f.x=d[0],f.y=d[1]}}arr(t,s,n,i)}});var iet=ye((uTr,ret)=>{\"use strict\";var lrr=bT();function urr(e,t,r,n){var i=lrr(e,t,r,n);if(!(!i||i[0].index===!1)){var a=i[0];if(a.index===void 0)return i;var o=e.subplot,s=a.cd[a.index],l=a.trace;if(o.isPtInside(s))return a.xLabelVal=void 0,a.yLabelVal=void 0,tet(s,l,o,a),a.hovertemplate=l.hovertemplate,i}}function tet(e,t,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle=\"real\",a._hovertitle=\"imag\";var o={};o[t.subplot]={_subplot:r};var s=t._module.formatLabels(e,t,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=e.hi||t.hoverinfo,u=[];function c(h,d){u.push(h._hovertitle+\": 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t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+q9(Math.abs(this.year()),4)+\"-\"+q9(this.month(),2)+\"-\"+q9(this.day(),2)}});function xQ(){this.shortYearCutoff=\"+10\"}O9(xQ.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new _Q(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear);return 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a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);return Gs.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Gs.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Gs.local.differentCalendars||Gs.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function bQ(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}bQ.prototype=new xQ;O9(bQ.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Gs.local.invalidMonth||Gs.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Gs=cet.exports=new uet;Gs.cdate=_Q;Gs.baseCalendar=xQ;Gs.calendars.gregorian=bQ});var fet=ye(()=>{var wQ=Nh(),Ud=kv();wQ(Ud.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"});Ud.local=Ud.regionalOptions[\"\"];wQ(Ud.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});wQ(Ud.baseCalendar.prototype,{UNIX_EPOCH:Ud.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:1440*60,TICKS_EPOCH:Ud.instance().jdEpoch,TICKS_PER_DAY:1440*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw Ud.local.invalidFormat||Ud.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(T,L){for(var x=1;M+x<e.length&&e.charAt(M+x)===T;)x++;return M+=x-1,Math.floor(x/(L||1))>1},c=function(T,L,x,C){var S=\"\"+L;if(u(T,C))for(;S.length<x;)S=\"0\"+S;return S},f=function(T,L,x,C){return u(T)?C[L]:x[L]},h=this,d=function(T){return typeof a==\"function\"?a.call(h,T,u(\"m\")):b(c(\"m\",T.month(),2))},v=function(T,L){return L?typeof s==\"function\"?s.call(h,T):s[T.month()-h.minMonth]:typeof o==\"function\"?o.call(h,T):o[T.month()-h.minMonth]},m=this.local.digits,b=function(T){return r.localNumbers&&m?m(T):T},p=\"\",k=!1,M=0;M<e.length;M++)if(k)e.charAt(M)===\"'\"&&!u(\"'\")?k=!1:p+=e.charAt(M);else switch(e.charAt(M)){case\"d\":p+=b(c(\"d\",t.day(),2));break;case\"D\":p+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":p+=c(\"o\",t.dayOfYear(),3);break;case\"w\":p+=c(\"w\",t.weekOfYear(),2);break;case\"m\":p+=d(t);break;case\"M\":p+=v(t,u(\"M\"));break;case\"y\":p+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),p+=t.formatYear();break;case\"J\":p+=t.toJD();break;case\"@\":p+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":p+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?p+=\"'\":k=!0;break;default:p+=e.charAt(M)}return p},parseDate:function(e,t,r){if(t==null)throw Ud.local.invalidArguments||Ud.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,m=!1,b=!1,p=function(z,q){for(var V=1;g+V<e.length&&e.charAt(g+V)===z;)V++;return g+=V-1,Math.floor(V/(q||1))>1},k=function(z,q){var V=p(z,q),G=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(z)+1],Z=new RegExp(\"^-?\\\\d{1,\"+G+\"}\"),j=t.substring(S).match(Z);if(!j)throw(Ud.local.missingNumberAt||Ud.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,S);return S+=j[0].length,parseInt(j[0],10)},M=this,T=function(){if(typeof s==\"function\"){p(\"m\");var z=s.call(M,t.substring(S));return S+=z.length,z}return k(\"m\")},L=function(z,q,V,G){for(var Z=p(z,G)?V:q,j=0;j<Z.length;j++)if(t.substr(S,Z[j].length).toLowerCase()===Z[j].toLowerCase())return S+=Z[j].length,j+M.minMonth;throw(Ud.local.unknownNameAt||Ud.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,S)},x=function(){if(typeof u==\"function\"){var z=p(\"M\")?u.call(M,t.substring(S)):l.call(M,t.substring(S));return S+=z.length,z}return L(\"M\",l,u)},C=function(){if(t.charAt(S)!==e.charAt(g))throw(Ud.local.unexpectedLiteralAt||Ud.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,S);S++},S=0,g=0;g<e.length;g++)if(b)e.charAt(g)===\"'\"&&!p(\"'\")?b=!1:C();else switch(e.charAt(g)){case\"d\":d=k(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=k(\"o\");break;case\"w\":k(\"w\");break;case\"m\":h=T();break;case\"M\":h=x();break;case\"y\":var P=g;m=!p(\"y\",2),g=P,f=k(\"y\",2);break;case\"Y\":f=k(\"Y\",2);break;case\"J\":c=k(\"J\")+.5,t.charAt(S)===\".\"&&(S++,k(\"J\"));break;case\"@\":c=k(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=k(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":S=t.length;break;case\"'\":p(\"'\")?C():b=!0;break;default:C()}if(S<t.length)throw Ud.local.unexpectedText||Ud.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&m&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var E=this.daysInMonth(f,h);d>E;E=this.daysInMonth(f,h))h++,d-=E}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var l=(s.match(/^c/)&&r?r.newDate():null)||a.today(),u=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,c=u.exec(s);c;)l.add(parseInt(c[1],10),c[2]||\"d\"),c=u.exec(s);return l};return t=t?t.newDate():null,e=e==null?t:typeof e==\"string\"?o(e):typeof e==\"number\"?isNaN(e)||e===1/0||e===-1/0?t:a.today().add(e,\"d\"):a.newDate(e),e}})});var het=ye(()=>{var jx=kv(),crr=Nh(),TQ=jx.instance();function B9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}B9.prototype=new jx.baseCalendar;crr(B9.prototype,{name:\"Chinese\",jdEpoch:17214255e-1,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(e,t){if(typeof e==\"string\"){var r=e.match(hrr);return r?r[0]:\"\"}var n=this._validateYear(e),i=e.month(),a=\"\"+this.toChineseMonth(n,i);return t&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(e){if(typeof e==\"string\"){var t=e.match(drr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\\u6708\",\"\\u4E8C\\u6708\",\"\\u4E09\\u6708\",\"\\u56DB\\u6708\",\"\\u4E94\\u6708\",\"\\u516D\\u6708\",\"\\u4E03\\u6708\",\"\\u516B\\u6708\",\"\\u4E5D\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4E00\\u6708\",\"\\u5341\\u4E8C\\u6708\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},monthNamesShort:function(e){if(typeof e==\"string\"){var t=e.match(vrr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},parseMonth:function(e,t){e=this._validateYear(e);var r=parseInt(t),n;if(isNaN(r))t[0]===\"\\u95F0\"&&(n=!0,t=t.substring(1)),t[t.length-1]===\"\\u6708\"&&(t=t.substring(0,t.length-1)),r=1+[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"].indexOf(t);else{var i=t[t.length-1];n=i===\"i\"||i===\"I\"}var a=this.toMonthIndex(e,r,n);return a},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(e,t){if(e.year&&(e=e.year()),typeof e!=\"number\"||e<1888||e>2111)throw t.replace(/\\{0\\}/,this.local.name);return e},toMonthIndex:function(e,t,r){var n=this.intercalaryMonth(e),i=r&&t!==n;if(i||t<1||t>12)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a;return n?!r&&t<=n?a=t-1:a=t:a=t-1,a},toChineseMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e),n=r?12:11;if(t<0||t>n)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var i;return r?t<r?i=t+1:i=t:i=t+1,i},intercalaryMonth:function(e){e=this._validateYear(e);var t=Wx[e-Wx[0]],r=t>>13;return r},isIntercalaryMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e);return!!r&&r===t},leapYear:function(e){return this.intercalaryMonth(e)!==0},weekOfYear:function(e,t,r){var n=this._validateYear(e,jx.local.invalidyear),i=Xx[n-Xx[0]],a=i>>9&4095,o=i>>5&15,s=i&31,l;l=TQ.newDate(a,o,s),l.add(4-(l.dayOfWeek()||7),\"d\");var u=this.toJD(e,t,r)-l.toJD();return 1+Math.floor(u/7)},monthsInYear:function(e){return this.leapYear(e)?13:12},daysInMonth:function(e,t){e.year&&(t=e.month(),e=e.year()),e=this._validateYear(e);var r=Wx[e-Wx[0]],n=r>>13,i=n?12:11;if(t>i)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a=r&1<<12-t?30:29;return a},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,a,r,jx.local.invalidDate);e=this._validateYear(n.year()),t=n.month(),r=n.day();var i=this.isIntercalaryMonth(e,t),a=this.toChineseMonth(e,t),o=grr(e,a,r,i);return TQ.toJD(o.year,o.month,o.day)},fromJD:function(e){var t=TQ.fromJD(e),r=prr(t.year(),t.month(),t.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(e){var t=e.match(frr),r=this._validateYear(+t[1]),n=+t[2],i=!!t[3],a=this.toMonthIndex(r,n,i),o=+t[4];return this.newDate(r,a,o)},add:function(e,t,r){var n=e.year(),i=e.month(),a=this.isIntercalaryMonth(n,i),o=this.toChineseMonth(n,i),s=Object.getPrototypeOf(B9.prototype).add.call(this,e,t,r);if(r===\"y\"){var l=s.year(),u=s.month(),c=this.isIntercalaryMonth(l,o),f=a&&c?this.toMonthIndex(l,o,!0):this.toMonthIndex(l,o,!1);f!==u&&s.month(f)}return s}});var frr=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,hrr=/^\\d?\\d[iI]?/m,drr=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?\u6708/m,vrr=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?/m;jx.calendars.chinese=B9;var 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prr(e,t,r,n){var i,a;if(typeof e==\"object\")i=e,a=t||{};else{var o=typeof e==\"number\"&&e>=1888&&e<=2111;if(!o)throw new Error(\"Solar year outside range 1888-2111\");var s=typeof t==\"number\"&&t>=1&&t<=12;if(!s)throw new Error(\"Solar month outside range 1 - 12\");var l=typeof r==\"number\"&&r>=1&&r<=31;if(!l)throw new Error(\"Solar day outside range 1 - 31\");i={year:e,month:t,day:r},a=n||{}}var u=Xx[i.year-Xx[0]],c=i.year<<9|i.month<<5|i.day;a.year=c>=u?i.year:i.year-1,u=Xx[a.year-Xx[0]];var f=u>>9&4095,h=u>>5&15,d=u&31,v,m=new Date(f,h-1,d),b=new Date(i.year,i.month-1,i.day);v=Math.round((b-m)/(24*3600*1e3));var p=Wx[a.year-Wx[0]],k;for(k=0;k<13;k++){var M=p&1<<12-k?30:29;if(v<M)break;v-=M}var T=p>>13;return!T||k<T?(a.isIntercalary=!1,a.month=1+k):k===T?(a.isIntercalary=!0,a.month=k):(a.isIntercalary=!1,a.month=k),a.day=1+v,a}function grr(e,t,r,n,i){var a,o;if(typeof e==\"object\")o=e,a=t||{};else{var s=typeof e==\"number\"&&e>=1888&&e<=2111;if(!s)throw new Error(\"Lunar year 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this._validate(e,this.minMonth,this.minDay,Dw.local.invalidYear||Dw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Dw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Dw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});Dw.calendars.coptic=AQ});var vet=ye(()=>{var k1=kv(),yrr=Nh();function SQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}SQ.prototype=new k1.baseCalendar;yrr(SQ.prototype,{name:\"Discworld\",jdEpoch:17214255e-1,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),!1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),13},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),400},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,k1.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return(n.day()+1)%8},weekDay:function(e,t,r){var n=this.dayOfWeek(e,t,r);return n>=2&&n<=6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return{century:_rr[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var _rr={20:\"Fruitbat\",21:\"Anchovy\"};k1.calendars.discworld=SQ});var pet=ye(()=>{var Fw=kv(),xrr=Nh();function MQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}MQ.prototype=new Fw.baseCalendar;xrr(MQ.prototype,{name:\"Ethiopian\",jdEpoch:17242205e-1,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Fw.local.invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===3||r%4===-1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Fw.local.invalidYear||Fw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Fw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Fw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});Fw.calendars.ethiopian=MQ});var get=ye(()=>{var Zx=kv(),brr=Nh();function EQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}EQ.prototype=new Zx.baseCalendar;brr(EQ.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,N9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,Zx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&N9(this.daysInYear(e),10)===5?30:t===9&&N9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,Zx.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(e,t,r){var n=this._validate(e,t,r,Zx.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e<=0?e+1:e,a=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(t<7){for(var o=7;o<=this.monthsInYear(e);o++)a+=this.daysInMonth(e,o);for(var o=1;o<t;o++)a+=this.daysInMonth(e,o)}else for(var o=7;o<t;o++)a+=this.daysInMonth(e,o);return a},_delay1:function(e){var t=Math.floor((235*e-234)/19),r=12084+13753*t,n=t*29+Math.floor(r/25920);return N9(3*(n+1),7)<3&&n++,n},_delay2:function(e){var t=this._delay1(e-1),r=this._delay1(e),n=this._delay1(e+1);return n-r===356?2:r-t===382?1:0},fromJD:function(e){e=Math.floor(e)+.5;for(var t=Math.floor((e-this.jdEpoch)*98496/35975351)-1;e>=this.toJD(t===-1?1:t+1,7,1);)t++;for(var r=e<this.toJD(t,1,1)?7:1;e>this.toJD(t,r,this.daysInMonth(t,r));)r++;var n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});function N9(e,t){return e-t*Math.floor(e/t)}Zx.calendars.hebrew=EQ});var met=ye(()=>{var AC=kv(),wrr=Nh();function kQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}kQ.prototype=new AC.baseCalendar;wrr(kQ.prototype,{name:\"Islamic\",jdEpoch:19484395e-1,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012Bs\",\"Yawm al-jum'a\",\"Yawm 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});AC.calendars.islamic=kQ});var yet=ye(()=>{var SC=kv(),Trr=Nh();function CQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}CQ.prototype=new SC.baseCalendar;Trr(CQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,SC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,SC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,SC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});SC.calendars.julian=CQ});var xet=ye(()=>{var fg=kv(),Arr=Nh();function PQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}PQ.prototype=new fg.baseCalendar;Arr(PQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,fg.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,fg.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,fg.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=LQ(e+8+340,365);return[Math.floor(t/20)+1,LQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[_et(e+20,20),_et(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function LQ(e,t){return e-t*Math.floor(e/t)}function _et(e,t){return LQ(e-1,t)+1}fg.calendars.mayan=PQ});var wet=ye(()=>{var zw=kv(),Srr=Nh();function IQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}IQ.prototype=new zw.baseCalendar;var bet=zw.instance(\"gregorian\");Srr(IQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,zw.local.invalidYear||zw.regionalOptions[\"\"].invalidYear);return bet.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,zw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,zw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+bet.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});zw.calendars.nanakshahi=IQ});var Tet=ye(()=>{var qw=kv(),Mrr=Nh();function RQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}RQ.prototype=new qw.baseCalendar;Mrr(RQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(e){return this.daysInYear(e)!==this.daysPerYear},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qw.local.invalidYear);if(e=t.year(),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\")return this.daysPerYear;for(var r=0,n=this.minMonth;n<=12;n++)r+=this.NEPALI_CALENDAR_DATA[e][n];return r},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qw.local.invalidMonth),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\"?this.daysPerMonth[t-1]:this.NEPALI_CALENDAR_DATA[e][t]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},toJD:function(e,t,r){var n=this._validate(e,t,r,qw.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=qw.instance(),a=0,o=t,s=e;this._createMissingCalendarData(e);var l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=qw.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)o++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof this.NEPALI_CALENDAR_DATA[r]==\"undefined\"&&(this.NEPALI_CALENDAR_DATA[r]=t)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,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Aet=ye(()=>{var uS=kv(),Err=Nh();function V9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}function U9(e){var t=e-475;e<0&&t++;var r=.242197,n=r*t,i=r*(t+1),a=n-Math.floor(n),o=i-Math.floor(i);return a>o}V9.prototype=new uS.baseCalendar;Err(V9.prototype,{name:\"Persian\",jdEpoch:19483205e-1,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Dey\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Dey\",\"Bah\",\"Esf\"],dayNames:[\"Yekshanbeh\",\"Doshanbeh\",\"Seshanbeh\",\"Chah\\u0101rshanbeh\",\"Panjshanbeh\",\"Jom'eh\",\"Shanbeh\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Cha\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,uS.local.invalidYear);return U9(t.year())},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,uS.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,uS.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=0;if(e>0)for(var a=1;a<e;a++)U9(a)&&i++;else if(e<0)for(var a=e;a<0;a++)U9(a)&&i--;return r+(t<=7?(t-1)*31:(t-1)*30+6)+(e>0?e-1:e)*365+i+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=475+(e-this.toJD(475,1,1))/365.242197,r=Math.floor(t);r<=0&&r--,e>this.toJD(r,12,U9(r)?30:29)&&(r++,r===0&&r++);var n=e-this.toJD(r,1,1)+1,i=n<=186?Math.ceil(n/31):Math.ceil((n-6)/30),a=e-this.toJD(r,i,1)+1;return this.newDate(r,i,a)}});uS.calendars.persian=V9;uS.calendars.jalali=V9});var Met=ye(()=>{var Ow=kv(),krr=Nh(),G9=Ow.instance();function DQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}DQ.prototype=new Ow.baseCalendar;krr(DQ.prototype,{name:\"Taiwan\",jdEpoch:24194025e-1,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Ow.local.invalidYear),r=this._t2gYear(t.year());return G9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Ow.local.invalidYear),i=this._t2gYear(n.year());return G9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Ow.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Ow.local.invalidDate),i=this._t2gYear(n.year());return G9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=G9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Ow.calendars.taiwan=DQ});var Eet=ye(()=>{var Bw=kv(),Crr=Nh(),H9=Bw.instance();function FQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}FQ.prototype=new Bw.baseCalendar;Crr(FQ.prototype,{name:\"Thai\",jdEpoch:15230985e-1,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Bw.local.invalidYear),r=this._t2gYear(t.year());return H9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Bw.local.invalidYear),i=this._t2gYear(n.year());return H9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Bw.local.invalidDate),i=this._t2gYear(n.year());return H9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=H9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Bw.calendars.thai=FQ});var ket=ye(()=>{var Nw=kv(),Lrr=Nh();function zQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}zQ.prototype=new Nw.baseCalendar;Lrr(zQ.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012Bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Nw.local.invalidYear);return this.daysInYear(t.year())===355},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Nw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Yx.length;a++){if(Yx[a]>n)return Yx[i]-Yx[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Nw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Yx[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Yx.length&&!(Yx[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Yx[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Nw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Nw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Nw.calendars.ummalqura=zQ;var 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Let=ye((GTr,Cet)=>{\"use strict\";Cet.exports=kv();fet();het();det();vet();pet();get();met();yet();xet();wet();Tet();Aet();Met();Eet();ket()});var qet=ye((HTr,zet)=>{\"use strict\";var Iet=Let(),MC=Pr(),Ret=fs(),Prr=Ret.EPOCHJD,Irr=Ret.ONEDAY,BQ={valType:\"enumerated\",values:MC.sortObjectKeys(Iet.calendars),editType:\"calc\",dflt:\"gregorian\"},Det=function(e,t,r,n){var i={};return i[r]=BQ,MC.coerce(e,t,i,r,n)},Rrr=function(e,t,r,n){for(var i=0;i<r.length;i++)Det(e,t,r[i]+\"calendar\",n.calendar)},Drr={chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},Frr={chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},zrr={chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},j9=\"##\",qrr={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:j9,w:j9,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}};function Orr(e,t,r){for(var n=Math.floor((t+.05)/Irr)+Prr,i=Fet(r).fromJD(n),a=0,o,s,l,u,c;(a=e.indexOf(\"%\",a))!==-1;)o=e.charAt(a+1),o===\"0\"||o===\"-\"||o===\"_\"?(l=3,s=e.charAt(a+2),o===\"_\"&&(o=\"-\")):(s=o,o=\"0\",l=2),u=qrr[s],u?(u===j9?c=j9:c=i.formatDate(u[o]),e=e.slice(0,a)+c+e.slice(a+l),a+=c.length):a+=l;return e}var Pet={};function Fet(e){var t=Pet[e];return t||(t=Pet[e]=Iet.instance(e),t)}function EC(e){return MC.extendFlat({},BQ,{description:e})}function NQ(e){return\"Sets the calendar system to use with `\"+e+\"` date data.\"}var OQ={xcalendar:EC(NQ(\"x\"))},hy=MC.extendFlat({},OQ,{ycalendar:EC(NQ(\"y\"))}),qQ=MC.extendFlat({},hy,{zcalendar:EC(NQ(\"z\"))}),cS=EC([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));zet.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:hy,bar:hy,box:hy,heatmap:hy,contour:hy,histogram:hy,histogram2d:hy,histogram2dcontour:hy,scatter3d:qQ,surface:qQ,mesh3d:qQ,scattergl:hy,ohlc:OQ,candlestick:OQ},layout:{calendar:EC([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:cS},yaxis:{calendar:cS},scene:{xaxis:{calendar:cS},yaxis:{calendar:cS},zaxis:{calendar:cS}},polar:{radialaxis:{calendar:cS}}}},layoutAttributes:BQ,handleDefaults:Det,handleTraceDefaults:Rrr,CANONICAL_SUNDAY:Frr,CANONICAL_TICK:Drr,DFLTRANGE:zrr,getCal:Fet,worldCalFmt:Orr}});var Bet=ye((jTr,Oet)=>{\"use strict\";Oet.exports=qet()});var Brr=ye((WTr,Uet)=>{var Net=pye();Net.register([m1e(),n_e(),yxe(),Bxe(),Qxe(),Ybe(),l2e(),K2e(),Swe(),s3e(),Z3e(),oke(),Yke(),N6e(),kLe(),aPe(),CPe(),e8e(),_8e(),q8e(),Y8e(),uRe(),ARe(),NRe(),yFe(),OFe(),tNe(),tUe(),fVe(),qVe(),XGe(),lHe(),IHe(),Hje(),aWe(),CWe(),OXe(),lZe(),GZe(),fKe(),zKe(),iJe(),CJe(),GJe(),V$e(),sQe(),MQe(),set(),Bet()]);Uet.exports=Net});return Brr();})();\n",
+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\n",
+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
+       "/*! Bundled license information:\n",
+       "\n",
+       "native-promise-only/lib/npo.src.js:\n",
+       "  (*! Native Promise Only\n",
+       "      v0.8.1 (c) Kyle Simpson\n",
+       "      MIT License: http://getify.mit-license.org\n",
+       "  *)\n",
+       "\n",
+       "polybooljs/index.js:\n",
+       "  (*\n",
+       "   * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       "   * @license MIT\n",
+       "   * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       "   *)\n",
+       "\n",
+       "ieee754/index.js:\n",
+       "  (*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "buffer/index.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "safe-buffer/index.js:\n",
+       "  (*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "assert/build/internal/util/comparisons.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "object-assign/index.js:\n",
+       "  (*\n",
+       "  object-assign\n",
+       "  (c) Sindre Sorhus\n",
+       "  @license MIT\n",
+       "  *)\n",
+       "\n",
+       "maplibre-gl/dist/maplibre-gl.js:\n",
+       "  (**\n",
+       "   * MapLibre GL JS\n",
+       "   * @license 3-Clause BSD. Full text of license: https://github.com/maplibre/maplibre-gl-js/blob/v4.7.1/LICENSE.txt\n",
+       "   *)\n",
+       "*/\n",
+       "\n",
+       "window.Plotly = Plotly;\n",
+       "return Plotly;\n",
+       "}));</script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import datetime\n",
+    "import logging\n",
+    "import re\n",
+    "\n",
+    "import pandas as pd\n",
+    "import plotly.express as px\n",
+    "from IPython.display import display\n",
+    "\n",
+    "from tradingstrategy.client import Client\n",
+    "from tradeexecutor.utils.notebook import setup_charting_and_output, OutputMode\n",
+    "\n",
+    "client = Client.create_jupyter_client()\n",
+    "setup_charting_and_output(OutputMode.static, image_format='png', width=1500, height=1000)\n",
+    "logger = logging.getLogger('strategy')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "16b551f0",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T06:59:04.474409Z",
+     "iopub.status.busy": "2026-07-23T06:59:04.474221Z",
+     "iopub.status.idle": "2026-07-23T06:59:04.542986Z",
+     "shell.execute_reply": "2026-07-23T06:59:04.542339Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Chain universe: Lighter\n",
+      "Reserve asset: <USDC at 0x0000000000000000000000000000000000000000>\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradingstrategy.chain import ChainId\n",
+    "from tradeexecutor.state.identifier import AssetIdentifier\n",
+    "\n",
+    "CHAIN_ID = ChainId.lighter\n",
+    "\n",
+    "EXCHANGES = ('uniswap-v2', 'uniswap-v3')\n",
+    "SUPPORTING_PAIRS = [\n",
+    "    (ChainId.arbitrum, 'uniswap-v3', 'WETH', 'USDC', 0.0005),\n",
+    "    (ChainId.ethereum, 'uniswap-v3', 'WETH', 'USDC', 0.0005),\n",
+    "    (ChainId.ethereum, 'uniswap-v3', 'WBTC', 'USDC', 0.003),\n",
+    "]\n",
+    "LENDING_RESERVES = None\n",
+    "# Lighter pools are USDC-denominated with a placeholder zero denomination-token\n",
+    "# address on the synthetic Lighter chain (9998); match the reserve to that so\n",
+    "# deposits need no cross-asset conversion.\n",
+    "PREFERRED_STABLECOIN = AssetIdentifier(\n",
+    "    chain_id=ChainId.lighter.value,\n",
+    "    address='0x0000000000000000000000000000000000000000',\n",
+    "    token_symbol='USDC',\n",
+    "    decimals=6,\n",
+    ")\n",
+    "ALLOWED_VAULT_DENOMINATION_TOKENS = {'USDC', 'USDT', 'USDC.e', 'crvUSD', 'USDT0', 'USD\u20ae0', 'USDt', 'USDS'}\n",
+    "\n",
+    "print(f'Chain universe: {CHAIN_ID.get_name()}')\n",
+    "print(f'Reserve asset: {PREFERRED_STABLECOIN}')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "91f9df96",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T06:59:04.582122Z",
+     "iopub.status.busy": "2026-07-23T06:59:04.581818Z",
+     "iopub.status.idle": "2026-07-23T06:59:04.590999Z",
+     "shell.execute_reply": "2026-07-23T06:59:04.590433Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from tradeexecutor.strategy.cycle import CycleDuration\n",
+    "from tradeexecutor.strategy.default_routing_options import TradeRouting\n",
+    "from tradeexecutor.strategy.parameters import StrategyParameters\n",
+    "from tradingstrategy.timebucket import TimeBucket\n",
+    "\n",
+    "\n",
+    "class Parameters:\n",
+    "    #: Notebook identifier for the no-leveraged-beta concentrated Lighter trials.\n",
+    "    id = '03-backtest-rebalancing-trials-no-leveraged-beta'\n",
+    "\n",
+    "    #: Daily candles, matching the Hyperliquid trial the Lighter variant is based on.\n",
+    "    candle_time_bucket = TimeBucket.d1\n",
+    "    #: Daily rebalance cadence is the validated schedule used in NB143 and NB154-NB157.\n",
+    "    cycle_duration = CycleDuration.cycle_1d\n",
+    "    #: Lighter (synthetic chain 9998) is the primary chain for pools.\n",
+    "    chain_id = CHAIN_ID\n",
+    "    #: Lighter is the primary execution chain for these pools.\n",
+    "    primary_chain_id = CHAIN_ID\n",
+    "    #: Keep the same exchange set as NB143, NB153, and the live-style test strategy.\n",
+    "    exchanges = EXCHANGES\n",
+    "\n",
+    "    #: Concentrated basket for the thin skill-only Lighter universe: at most 5 pools,\n",
+    "    #: per the LLP-core/quality-satellite redesign discussed on the PR.\n",
+    "    max_assets_in_portfolio = 5\n",
+    "    #: NB143 and NB154-NB157 used 98% target deployment and the corrected waterfall branch held up there.\n",
+    "    #: NB156 showed lower allocation is viable, but not better enough to replace the release default.\n",
+    "    allocation_pct = 0.98\n",
+    "    #: Raised concentration ceiling so a 5-position basket can deploy meaningfully:\n",
+    "    #: three max-weight positions cover 99% of the target allocation.\n",
+    "    max_concentration_pct = 0.33\n",
+    "    #: NB156 showed tighter per-pool caps reduce both return and deployment.\n",
+    "    #: Keep the 20% pool-cap ceiling from NB143 so we do not reintroduce unnecessary cash drag.\n",
+    "    per_position_cap_of_pool_pct = 0.2\n",
+    "    #: Engine hygiene threshold used across the survivor-first notebooks.\n",
+    "    #: Keep it because the alpha model uses it when cleaning up tiny residual positions.\n",
+    "    min_portfolio_weight_pct = 0.005\n",
+    "\n",
+    "    #: Keep the conservative 5 USD minimum deposit floor from the Hyperliquid trial.\n",
+    "    absolute_min_vault_deposit_usd = 5.0\n",
+    "    #: Preserve the old 50 USD buy threshold at 100k initial cash.\n",
+    "    individual_rebalance_min_threshold_of_initial_cash_pct = 0.0005\n",
+    "    #: Preserve the old 10 USD sell threshold at 100k initial cash.\n",
+    "    sell_rebalance_min_threshold_of_initial_cash_pct = 0.0001\n",
+    "\n",
+    "    #: NB141 selected this wider survivor-first TVL floor and NB143-NB157 validated the allocator on it.\n",
+    "    #: This is intentionally the survivor-first release setting, not the older NB124/NB126 production threshold.\n",
+    "    min_tvl_usd = 7_500\n",
+    "    #: NB141 also selected this young-vault-inclusive age floor for the survivor-first branch.\n",
+    "    #: Keep it fixed so NB158 stays comparable with the corrected waterfall validation chain.\n",
+    "    min_age = 0.075\n",
+    "    #: The corrected reruns kept `age_ramp` as the surviving signal family and NB154-NB157 validated waterfall on top of it.\n",
+    "    weight_signal = 'age_ramp'\n",
+    "    #: NB143 and the corrected robustness notebooks all used a 0.75-year ramp.\n",
+    "    #: Keep the signal definition unchanged so NB158 isolates the release-candidate packaging, not signal drift.\n",
+    "    age_ramp_period = 0.75\n",
+    "\n",
+    "    #: August 2025 remains the canonical mature-universe start used by the release branch.\n",
+    "    backtest_start = datetime.datetime(2025, 8, 1)\n",
+    "    #: Exclusive end boundary; includes the completed daily cycle for yesterday, 2026-07-09.\n",
+    "    backtest_end = datetime.datetime(2026, 7, 10)\n",
+    "    #: Smaller bankroll for testing release-candidate behaviour at 25,000 USD initial capital.\n",
+    "    initial_cash = 25_000\n",
+    "    #: Derived at class creation time from the configured initial cash and the 5 USD hard floor.\n",
+    "    individual_rebalance_min_threshold_usd = max(\n",
+    "        absolute_min_vault_deposit_usd,\n",
+    "        initial_cash * individual_rebalance_min_threshold_of_initial_cash_pct,\n",
+    "    )\n",
+    "    #: Derived at class creation time from the configured initial cash and the 5 USD hard floor.\n",
+    "    sell_rebalance_min_threshold_usd = max(\n",
+    "        absolute_min_vault_deposit_usd,\n",
+    "        initial_cash * sell_rebalance_min_threshold_of_initial_cash_pct,\n",
+    "    )\n",
+    "\n",
+    "    #: Default routing is still required by the strategy runtime even though it is not the alpha source.\n",
+    "    routing = TradeRouting.default\n",
+    "    #: Set deliberately high so live and notebook indicator calculations use effectively all available history.\n",
+    "    #: This is an operational correction to the old 120-day default because `age()` and other history-derived indicators\n",
+    "    #: depend on the first available data point and would be silently biased by a truncated lookback window.\n",
+    "    required_history_period = datetime.timedelta(days=365 * 20)\n",
+    "    #: Keep the same live-style slippage assumption as NB153 and `hyper-ai-test.py`.\n",
+    "    slippage_tolerance_pct = 0.0060\n",
+    "    #: Assume no liquidity if there is a gap in TVL data.\n",
+    "    assummed_liquidity_when_data_missings_usd = 0.01\n",
+    "\n",
+    "\n",
+    "parameters = StrategyParameters.from_class(Parameters)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "5c7b7085",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T06:59:04.628115Z",
+     "iopub.status.busy": "2026-07-23T06:59:04.627961Z",
+     "iopub.status.idle": "2026-07-23T06:59:18.677395Z",
+     "shell.execute_reply": "2026-07-23T06:59:18.676435Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Preparing trading universe on chain Lighter\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "We have total 392022 pairs in dataset and going to use 3 pairs for the strategy\n",
+      "Lighter universe fingerprint: c3f8a8e2\n",
+      "Loaded 27 cached Lighter vaults (lighter-tvl7500-topall-age0.0-sort1Y-nobeta-curc3f8a8e2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded 27 vaults from remote vault metadata, source vaults count: 27\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Loading TVL/liquidity data for 3 pairs:   0%|          | 0/3 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Loading TVL/liquidity data for 3 pairs: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 3/3 [00:00<00:00, 45.97it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Results limited to first 75 entries\n",
+      "Head (5 rows)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>base</th>\n",
+       "      <th>quote</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fee %</th>\n",
+       "      <th>price</th>\n",
+       "      <th>first_price_at</th>\n",
+       "      <th>last_price_at</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>tvl</th>\n",
+       "      <th>tvl_at</th>\n",
+       "      <th>tax</th>\n",
+       "      <th>tokensniffer_risk_score</th>\n",
+       "      <th>token_risk_score</th>\n",
+       "      <th>token_risk_flags</th>\n",
+       "      <th>pfee</th>\n",
+       "      <th>mfee</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>278905040</th>\n",
+       "      <td>Algorithmi</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-09-12 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>12,939</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276121250</th>\n",
+       "      <td>Alleged Al</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-01-03 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>502,108</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>25.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>275842051</th>\n",
+       "      <td>BTC vs ALT</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-10-08 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>412,433</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276280771</th>\n",
+       "      <td>Candle Eff</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-05-21 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>31,034</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276023214</th>\n",
+       "      <td>Candle Eff</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>10,345</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tail (5 rows)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>base</th>\n",
+       "      <th>quote</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fee %</th>\n",
+       "      <th>price</th>\n",
+       "      <th>first_price_at</th>\n",
+       "      <th>last_price_at</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>tvl</th>\n",
+       "      <th>tvl_at</th>\n",
+       "      <th>tax</th>\n",
+       "      <th>tokensniffer_risk_score</th>\n",
+       "      <th>token_risk_score</th>\n",
+       "      <th>token_risk_flags</th>\n",
+       "      <th>pfee</th>\n",
+       "      <th>mfee</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2697765</th>\n",
+       "      <td>WETH</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>uniswap-v3</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>61812892.80</td>\n",
+       "      <td>185,394,837</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>0.0% / 0.0%</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>272574862</th>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-10-27 00:00:00</td>\n",
+       "      <td>38 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>273631331</th>\n",
+       "      <td>[ Systemic</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-03-05 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>736,727</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>10.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>280570283</th>\n",
+       "      <td>pmalt</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-05-07 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>197,725</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>281242317</th>\n",
+       "      <td>pool1</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>979</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "from tradingstrategy.utils.token_filter import filter_for_selected_pairs\n",
+    "from tradeexecutor.analysis.pair import display_strategy_universe\n",
+    "from tradeexecutor.strategy.execution_context import notebook_execution_context\n",
+    "from tradeexecutor.strategy.pandas_trader.trading_universe_input import CreateTradingUniverseInput\n",
+    "from tradeexecutor.strategy.trading_strategy_universe import TradingStrategyUniverse, load_partial_data, load_vault_universe_with_metadata\n",
+    "from tradeexecutor.strategy.universe_model import UniverseOptions\n",
+    "from tradeexecutor.utils.notebook import display_dataframe_with_html, display_head_and_tail\n",
+    "\n",
+    "from tradeexecutor.curator import build_lighter_vault_universe\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "\n",
+    "\n",
+    "def create_trading_universe(\n",
+    "    input: CreateTradingUniverseInput,\n",
+    ") -> TradingStrategyUniverse:\n",
+    "    \"\"\"Create the release-candidate trading universe.\n",
+    "\n",
+    "    Keep the backtest trading window fixed to `Parameters.backtest_start` /\n",
+    "    `Parameters.backtest_end`, but let `required_history_period` extend the\n",
+    "    data-loading window backwards so age and other history-derived indicators\n",
+    "    can see the full pre-backtest history for the selected vaults.\n",
+    "    \"\"\"\n",
+    "    execution_context = input.execution_context\n",
+    "    client = input.client\n",
+    "    timestamp = input.timestamp\n",
+    "    parameters = input.parameters or Parameters\n",
+    "    universe_options = input.universe_options\n",
+    "\n",
+    "    debug_printer = logger.info if execution_context.live_trading else print\n",
+    "\n",
+    "    chain_id = parameters.primary_chain_id\n",
+    "    debug_printer(f'Preparing trading universe on chain {chain_id.get_name()}')\n",
+    "\n",
+    "    all_pairs_df = client.fetch_pair_universe().to_pandas()\n",
+    "    pairs_df = filter_for_selected_pairs(all_pairs_df, SUPPORTING_PAIRS)\n",
+    "    debug_printer(f'We have total {len(all_pairs_df)} pairs in dataset and going to use {len(pairs_df)} pairs for the strategy')\n",
+    "\n",
+    "    source_vaults = build_lighter_vault_universe(\n",
+    "        min_tvl=parameters.min_tvl_usd,\n",
+    "        min_age=0.0,\n",
+    "        # Blacklist rules: drop declared single-asset leveraged directional\n",
+    "        # pools (`BTC 3x long`, ...) \u2014 leveraged market beta, not manager skill.\n",
+    "        exclude_leveraged_beta=True,\n",
+    "    )\n",
+    "    vault_universe = load_vault_universe_with_metadata(client, vaults=source_vaults)\n",
+    "    vault_universe = vault_universe.limit_to_denomination(ALLOWED_VAULT_DENOMINATION_TOKENS, check_all_vaults_found=True)\n",
+    "    debug_printer(f'Loaded {vault_universe.get_vault_count()} vaults from remote vault metadata, source vaults count: {len(source_vaults)}')\n",
+    "\n",
+    "    # `load_partial_data()` now honours `required_history_period` in backtests\n",
+    "    # as a loader-window extension instead of clipping history to the trading window.\n",
+    "    dataset = load_partial_data(\n",
+    "        client=client,\n",
+    "        time_bucket=parameters.candle_time_bucket,\n",
+    "        pairs=pairs_df,\n",
+    "        execution_context=execution_context,\n",
+    "        universe_options=universe_options,\n",
+    "        liquidity=True,\n",
+    "        liquidity_time_bucket=TimeBucket.d1,\n",
+    "        lending_reserves=LENDING_RESERVES,\n",
+    "        vaults=vault_universe,\n",
+    "        vault_history_source=\"trading-strategy-website\",\n",
+    "        check_all_vaults_found=True,\n",
+    "    )\n",
+    "\n",
+    "    return TradingStrategyUniverse.create_from_dataset(\n",
+    "        dataset,\n",
+    "        reserve_asset=PREFERRED_STABLECOIN,\n",
+    "        forward_fill=True,\n",
+    "        forward_fill_until=timestamp,\n",
+    "        primary_chain=parameters.primary_chain_id,\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "universe_input = CreateTradingUniverseInput(\n",
+    "    execution_context=notebook_execution_context,\n",
+    "    client=client,\n",
+    "    timestamp=None,\n",
+    "    parameters=parameters,\n",
+    "    universe_options=UniverseOptions.from_strategy_parameters_class(Parameters, notebook_execution_context),\n",
+    "    execution_model=None,\n",
+    ")\n",
+    "\n",
+    "strategy_universe = create_trading_universe(universe_input)\n",
+    "df = display_strategy_universe(\n",
+    "    strategy_universe,\n",
+    "    sort_key='base',\n",
+    "    sort_numeric=False,\n",
+    "    limit=75,\n",
+    "    show_token_risk=True,\n",
+    "    show_tokensniffer=True,\n",
+    ")\n",
+    "display_head_and_tail(df, head_rows=5, tail_rows=5)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6ebc9cff",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T06:59:18.718450Z",
+     "iopub.status.busy": "2026-07-23T06:59:18.718270Z",
+     "iopub.status.idle": "2026-07-23T06:59:53.049357Z",
+     "shell.execute_reply": "2026-07-23T06:59:53.045696Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using indicator cache /Users/moo/.cache/indicators/arbitrum-ethereum-lighter_1d_30p4391f3f5_2021-05-06-2026-07-10_ff_cross_de8d156ae\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   0%|          | 0/399 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   0%|          | 1/399 [00:11<1:17:42, 11.71s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   1%|          | 3/399 [00:14<26:48,  4.06s/it]  "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   2%|\u258f         | 8/399 [00:17<10:02,  1.54s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   4%|\u258e         | 14/399 [00:20<06:08,  1.04it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   5%|\u258c         | 21/399 [00:27<06:10,  1.02it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   7%|\u258b         | 29/399 [00:27<03:31,  1.75it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:   8%|\u258a         | 31/399 [00:28<03:07,  1.96it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  10%|\u2588         | 40/399 [00:28<01:39,  3.59it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  11%|\u2588         | 44/399 [00:28<01:19,  4.48it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  13%|\u2588\u258e        | 53/399 [00:28<00:46,  7.42it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  15%|\u2588\u258c        | 60/399 [00:28<00:32, 10.34it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  16%|\u2588\u258b        | 65/399 [00:28<00:27, 12.34it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  18%|\u2588\u258a        | 70/399 [00:28<00:22, 14.38it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  19%|\u2588\u258a        | 74/399 [00:29<00:21, 15.47it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  21%|\u2588\u2588        | 82/399 [00:29<00:13, 22.69it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  23%|\u2588\u2588\u258e       | 90/399 [00:29<00:10, 30.57it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  25%|\u2588\u2588\u258c       | 100/399 [00:29<00:07, 41.93it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  27%|\u2588\u2588\u258b       | 109/399 [00:29<00:05, 50.52it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10206/1290859460.py:37: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes:  31%|\u2588\u2588\u2588       | 122/399 [00:29<01:07,  4.13it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:   0%|          | 0/399 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:   2%|\u258f         | 6/399 [00:00<00:07, 55.20it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:   5%|\u258d         | 18/399 [00:00<00:04, 86.09it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:   7%|\u258b         | 29/399 [00:00<00:03, 94.01it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  10%|\u2589         | 39/399 [00:00<00:03, 90.21it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  12%|\u2588\u258f        | 49/399 [00:00<00:04, 86.53it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  15%|\u2588\u258d        | 58/399 [00:00<00:04, 75.49it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  18%|\u2588\u258a        | 70/399 [00:00<00:03, 86.99it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  20%|\u2588\u2588        | 80/399 [00:00<00:03, 83.55it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  23%|\u2588\u2588\u258e       | 93/399 [00:01<00:03, 95.43it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  26%|\u2588\u2588\u258c       | 103/399 [00:01<00:03, 86.98it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  28%|\u2588\u2588\u258a       | 113/399 [00:01<00:03, 84.86it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  31%|\u2588\u2588\u2588       | 122/399 [00:01<00:04, 68.27it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  33%|\u2588\u2588\u2588\u258e      | 132/399 [00:01<00:03, 73.71it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  35%|\u2588\u2588\u2588\u258c      | 140/399 [00:01<00:03, 73.28it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  37%|\u2588\u2588\u2588\u258b      | 148/399 [00:01<00:03, 71.61it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  39%|\u2588\u2588\u2588\u2589      | 156/399 [00:01<00:03, 69.60it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  42%|\u2588\u2588\u2588\u2588\u258f     | 166/399 [00:02<00:03, 73.24it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  44%|\u2588\u2588\u2588\u2588\u258d     | 177/399 [00:02<00:02, 81.98it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  47%|\u2588\u2588\u2588\u2588\u258b     | 186/399 [00:02<00:02, 82.92it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  49%|\u2588\u2588\u2588\u2588\u2589     | 195/399 [00:02<00:02, 84.39it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  51%|\u2588\u2588\u2588\u2588\u2588\u258f    | 205/399 [00:02<00:02, 84.81it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  54%|\u2588\u2588\u2588\u2588\u2588\u258d    | 215/399 [00:02<00:02, 87.40it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  56%|\u2588\u2588\u2588\u2588\u2588\u258c    | 224/399 [00:02<00:02, 83.47it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  59%|\u2588\u2588\u2588\u2588\u2588\u258a    | 234/399 [00:02<00:01, 86.80it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f   | 246/399 [00:02<00:01, 94.61it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  64%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d   | 256/399 [00:03<00:01, 93.39it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  67%|\u2588\u2588\u2588\u2588\u2588\u2588\u258b   | 266/399 [00:03<00:01, 91.43it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #2:  68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a   | 273/399 [00:03<00:01, 77.33it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #3:   0%|          | 0/399 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #3:   1%|          | 3/399 [00:00<01:14,  5.31it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #3:   1%|          | 3/399 [00:00<01:14,  5.31it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #4:   0%|          | 0/399 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, daily_return, rolling_return_60, rolling_volatility_60, rolling_sharpe_60, rolling_sortino_60, rolling_calmar_60, rolling_psr_60, sterling_signal_180, trend_r2_30, volatility_of_volatility_60, correlation_cluster_weights_60 using 8 processes, dependency group #4:   0%|          | 1/399 [00:00<00:07, 56.47it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradeexecutor.state.identifier import TradingPairIdentifier\n",
+    "from tradeexecutor.state.types import USDollarAmount\n",
+    "from tradeexecutor.strategy.execution_context import ExecutionContext\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator import IndicatorDependencyResolver, IndicatorSource\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator_decorator import IndicatorRegistry\n",
+    "from tradeexecutor.strategy.trading_strategy_universe import TradingStrategyUniverse\n",
+    "from tradeexecutor.analysis.indicator import display_indicators\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator import calculate_and_load_indicators_inline\n",
+    "\n",
+    "indicators = IndicatorRegistry()\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.tvl)\n",
+    "def tvl(\n",
+    "    close: pd.Series,\n",
+    "    execution_context: ExecutionContext,\n",
+    "    timestamp: pd.Timestamp,\n",
+    ") -> pd.Series:\n",
+    "    if execution_context.live_trading:\n",
+    "        from tradingstrategy.utils.forward_fill import forward_fill\n",
+    "\n",
+    "        df = pd.DataFrame({'close': close})\n",
+    "        df_ff = forward_fill(\n",
+    "            df,\n",
+    "            Parameters.candle_time_bucket.to_frequency(),\n",
+    "            columns=('close',),\n",
+    "            forward_fill_until=timestamp,\n",
+    "        )\n",
+    "        return df_ff['close']\n",
+    "\n",
+    "    return close.resample('1h').ffill()\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def age(close: pd.Series) -> pd.Series:\n",
+    "    inception = close.index[0]\n",
+    "    age_years = (close.index - inception) / pd.Timedelta(days=365.25)\n",
+    "    return pd.Series(age_years, index=close.index)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def tvl_inclusion_criteria(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data_pairs_combined(tvl)\n",
+    "    mask = series >= min_tvl_usd\n",
+    "    mask_true_values_only = mask[mask]\n",
+    "    return mask_true_values_only.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def age_inclusion_criteria(\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data_pairs_combined(age)\n",
+    "    mask = series >= min_age\n",
+    "    mask_true_values_only = mask[mask]\n",
+    "    return mask_true_values_only.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.strategy_universe)\n",
+    "def trading_availability_criteria(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    ") -> pd.Series:\n",
+    "    candle_series = strategy_universe.data_universe.candles.df['open']\n",
+    "    return candle_series.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(\n",
+    "    dependencies=[\n",
+    "        tvl_inclusion_criteria,\n",
+    "        trading_availability_criteria,\n",
+    "        age_inclusion_criteria,\n",
+    "    ],\n",
+    "    source=IndicatorSource.strategy_universe,\n",
+    ")\n",
+    "def inclusion_criteria(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    benchmark_pair_ids = {\n",
+    "        strategy_universe.get_pair_by_human_description(desc).internal_id\n",
+    "        for desc in SUPPORTING_PAIRS\n",
+    "    }\n",
+    "\n",
+    "    tvl_series = dependency_resolver.get_indicator_data(\n",
+    "        tvl_inclusion_criteria,\n",
+    "        parameters={'min_tvl_usd': min_tvl_usd},\n",
+    "    )\n",
+    "    trading_availability_series = dependency_resolver.get_indicator_data(trading_availability_criteria)\n",
+    "    age_series = dependency_resolver.get_indicator_data(\n",
+    "        age_inclusion_criteria,\n",
+    "        parameters={'min_age': min_age},\n",
+    "    )\n",
+    "\n",
+    "    df = pd.DataFrame(\n",
+    "        {\n",
+    "            'tvl_pair_ids': tvl_series,\n",
+    "            'trading_availability_pair_ids': trading_availability_series,\n",
+    "            'age_pair_ids': age_series,\n",
+    "        }\n",
+    "    )\n",
+    "    df = df.fillna('').apply(list)\n",
+    "\n",
+    "    def _combine(row):\n",
+    "        final_set = (\n",
+    "            set(row['tvl_pair_ids'])\n",
+    "            & set(row['trading_availability_pair_ids'])\n",
+    "            & set(row['age_pair_ids'])\n",
+    "        )\n",
+    "        return final_set - benchmark_pair_ids\n",
+    "\n",
+    "    union_criteria = df.apply(_combine, axis=1)\n",
+    "    full_index = pd.date_range(\n",
+    "        start=union_criteria.index.min(),\n",
+    "        end=union_criteria.index.max(),\n",
+    "        freq=Parameters.candle_time_bucket.to_frequency(),\n",
+    "    )\n",
+    "    return union_criteria.reindex(full_index, fill_value=[])\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def age_ramp_weight(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    "    age_ramp_period: float = 1.0,\n",
+    ") -> pd.Series:\n",
+    "    vault_age = dependency_resolver.get_indicator_data('age', pair=pair)\n",
+    "    return (vault_age / age_ramp_period).clip(upper=1.0).clip(lower=0.05)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def all_criteria_included_pair_count(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_tvl_usd\": min_tvl_usd,\n",
+    "            \"min_age\": min_age,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl_inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def tvl_included_pair_count(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"tvl_inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_tvl_usd\": min_tvl_usd,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age_inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def age_included_pair_count(\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"age_inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_age\": min_age,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.strategy_universe)\n",
+    "def trading_pair_count(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    ") -> pd.Series:\n",
+    "    benchmark_pair_ids = {\n",
+    "        strategy_universe.get_pair_by_human_description(desc).internal_id\n",
+    "        for desc in SUPPORTING_PAIRS\n",
+    "    }\n",
+    "    series = strategy_universe.data_universe.candles.df[\"open\"]\n",
+    "    swap_index = series.index.swaplevel(0, 1)\n",
+    "\n",
+    "    seen_pairs = set()\n",
+    "    seen_data = {}\n",
+    "    for timestamp, pair_id in swap_index:\n",
+    "        if pair_id in benchmark_pair_ids:\n",
+    "            continue\n",
+    "        seen_pairs.add(pair_id)\n",
+    "        seen_data[timestamp] = len(seen_pairs)\n",
+    "\n",
+    "    return pd.Series(seen_data.values(), index=list(seen_data.keys()))\n",
+    "\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def daily_return(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Daily vault share-price return using observations available up to each timestamp.\"\"\"\n",
+    "    return close.resample('1D').last().pct_change(fill_method=None)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def rolling_return_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "    return (1.0 + returns).rolling(60, min_periods=14).apply(lambda values: values.prod() - 1.0, raw=True)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def rolling_volatility_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "    return returns.rolling(60, min_periods=14).std() * (365.0 ** 0.5)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def rolling_sharpe_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "    mean = returns.rolling(60, min_periods=14).mean() * 365.0\n",
+    "    volatility = returns.rolling(60, min_periods=14).std() * (365.0 ** 0.5)\n",
+    "    return mean / volatility.replace(0.0, float('nan'))\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def rolling_sortino_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "    mean = returns.rolling(60, min_periods=14).mean() * 365.0\n",
+    "    downside = returns.clip(upper=0.0)\n",
+    "    downside_volatility = downside.rolling(60, min_periods=14).std() * (365.0 ** 0.5)\n",
+    "    return mean / downside_volatility.replace(0.0, float('nan'))\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def rolling_calmar_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "\n",
+    "    def _calmar(values):\n",
+    "        values = pd.Series(values).dropna()\n",
+    "        if len(values) < 14:\n",
+    "            return float('nan')\n",
+    "        curve = (1.0 + values).cumprod()\n",
+    "        max_drawdown = abs((curve / curve.cummax() - 1.0).min())\n",
+    "        return values.mean() * 365.0 / max(max_drawdown, 0.01)\n",
+    "\n",
+    "    return returns.rolling(60, min_periods=14).apply(_calmar, raw=False)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def rolling_psr_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    from scipy.stats import norm\n",
+    "\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "\n",
+    "    def _psr(values):\n",
+    "        values = pd.Series(values).dropna()\n",
+    "        n = len(values)\n",
+    "        if n < 14 or values.std() <= 0:\n",
+    "            return float('nan')\n",
+    "        sharpe = values.mean() / values.std()\n",
+    "        skew = values.skew()\n",
+    "        kurtosis = values.kurtosis() + 3.0\n",
+    "        denominator = max(1.0 - skew * sharpe + ((kurtosis - 1.0) / 4.0) * sharpe ** 2, 1e-12)\n",
+    "        statistic = sharpe * ((n - 1.0) / denominator) ** 0.5\n",
+    "        return float(norm.cdf(statistic))\n",
+    "\n",
+    "    return returns.rolling(60, min_periods=14).apply(_psr, raw=False)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def sterling_signal_180(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "\n",
+    "    def _sterling(values):\n",
+    "        values = pd.Series(values).dropna()\n",
+    "        if len(values) < 14:\n",
+    "            return float('nan')\n",
+    "        curve = (1.0 + values).cumprod()\n",
+    "        max_drawdown = abs((curve / curve.cummax() - 1.0).min())\n",
+    "        ratio = values.mean() * 365.0 / (max_drawdown + 0.10)\n",
+    "        return float(pd.Series([max(ratio, 0.0)]).map(lambda value: __import__('math').log1p(value)).iloc[0])\n",
+    "\n",
+    "    return returns.rolling(180, min_periods=14).apply(_sterling, raw=False)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def trend_r2_30(close: pd.Series) -> pd.Series:\n",
+    "    import numpy as np\n",
+    "\n",
+    "    daily_close = close.resample('1D').last()\n",
+    "\n",
+    "    def _r2(values):\n",
+    "        values = np.asarray(values, dtype=float)\n",
+    "        if len(values) < 14 or np.any(values <= 0) or not np.all(np.isfinite(values)):\n",
+    "            return float('nan')\n",
+    "        y = np.log(values)\n",
+    "        x = np.arange(len(y), dtype=float)\n",
+    "        slope, intercept = np.polyfit(x, y, 1)\n",
+    "        fitted = slope * x + intercept\n",
+    "        total = ((y - y.mean()) ** 2).sum()\n",
+    "        return float(1.0 - ((y - fitted) ** 2).sum() / total) if total > 0 else 0.0\n",
+    "\n",
+    "    return daily_close.rolling(30, min_periods=14).apply(_r2, raw=True)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def volatility_of_volatility_60(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    returns = dependency_resolver.get_indicator_data('daily_return', pair=pair)\n",
+    "    realised_volatility = returns.rolling(14, min_periods=7).std() * (365.0 ** 0.5)\n",
+    "    return realised_volatility.rolling(60, min_periods=14).std()\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(daily_return,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def correlation_cluster_weights_60(\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    import numpy as np\n",
+    "    from collections import Counter\n",
+    "    from scipy.cluster.hierarchy import fcluster, linkage\n",
+    "    from scipy.spatial.distance import squareform\n",
+    "\n",
+    "    all_returns = dependency_resolver.get_indicator_data_pairs_combined('daily_return')\n",
+    "    returns_df = all_returns.unstack(level='pair_id').sort_index()\n",
+    "    timestamps = []\n",
+    "    weight_dicts = []\n",
+    "\n",
+    "    for index in range(60, len(returns_df)):\n",
+    "        timestamp = returns_df.index[index]\n",
+    "        window = returns_df.iloc[index - 60:index]\n",
+    "        valid_columns = window.columns[window.notna().sum() >= 14]\n",
+    "        if len(valid_columns) < 2:\n",
+    "            weights = {str(pair_id): 1.0 for pair_id in valid_columns}\n",
+    "        else:\n",
+    "            clean = window[valid_columns].fillna(0.0)\n",
+    "            correlation = clean.corr().fillna(0.0)\n",
+    "            np.fill_diagonal(correlation.values, 1.0)\n",
+    "            distance = (1.0 - correlation).clip(lower=0.0, upper=2.0)\n",
+    "            try:\n",
+    "                condensed = squareform(distance.values, checks=False)\n",
+    "                clusters = fcluster(linkage(condensed, method='average'), t=0.5, criterion='distance')\n",
+    "                counts = Counter(clusters)\n",
+    "                cluster_count = len(counts)\n",
+    "                weights = {\n",
+    "                    str(pair_id): 1.0 / (counts[cluster_id] * cluster_count)\n",
+    "                    for pair_id, cluster_id in zip(valid_columns, clusters)\n",
+    "                }\n",
+    "            except Exception:\n",
+    "                weights = {str(pair_id): 1.0 / len(valid_columns) for pair_id in valid_columns}\n",
+    "        timestamps.append(timestamp)\n",
+    "        weight_dicts.append(weights)\n",
+    "\n",
+    "    return pd.Series(weight_dicts, index=pd.DatetimeIndex(timestamps), dtype=object)\n",
+    "\n",
+    "indicator_data = calculate_and_load_indicators_inline(\n",
+    "    strategy_universe=strategy_universe,\n",
+    "    create_indicators=indicators.create_indicators,\n",
+    "    parameters=parameters,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e09c952",
+   "metadata": {},
+   "source": [
+    "# Results\n",
+    "\n",
+    "The unfiltered comparison runs the NB158 baseline and every reimplemented rebalance method on the shared notebook 03 universe. The equity chart normalises all curves to initial equity and uses a logarithmic scale so that every method remains visible."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "30a7f8d5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T06:59:53.109594Z",
+     "iopub.status.busy": "2026-07-23T06:59:53.104967Z",
+     "iopub.status.idle": "2026-07-23T07:00:06.885074Z",
+     "shell.execute_reply": "2026-07-23T07:00:06.877938Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from tradeexecutor.backtest.backtest_runner import run_backtest_inline\n",
+    "from tradeexecutor.exchange_account.allocation import (\n",
+    "    calculate_portfolio_target_value,\n",
+    "    get_redeemable_portfolio_capital,\n",
+    ")\n",
+    "from tradeexecutor.state.trade import TradeExecution\n",
+    "from tradeexecutor.statistics.key_metric import (\n",
+    "    calculate_cagr,\n",
+    "    calculate_max_drawdown,\n",
+    "    calculate_sharpe,\n",
+    "    calculate_sortino,\n",
+    ")\n",
+    "from tradeexecutor.strategy.alpha_model import AlphaModel\n",
+    "from tradeexecutor.strategy.execution_context import ExecutionMode\n",
+    "from tradeexecutor.strategy.pandas_trader.strategy_input import StrategyInput\n",
+    "from tradeexecutor.strategy.tvl_size_risk import USDTVLSizeRiskModel\n",
+    "from tradeexecutor.strategy.weighting import weight_passthrouh\n",
+    "from tradeexecutor.utils.dedent import dedent_any\n",
+    "from tradeexecutor.visual.equity_curve import calculate_equity_curve, calculate_returns\n",
+    "from tradeexecutor.curator import is_quarantined\n",
+    "\n",
+    "\n",
+    "def _extract_optional_int(text: str, label: str) -> int:\n",
+    "    match = re.search(rf\"{re.escape(label)}: ([0-9]+)\", text)\n",
+    "    return int(match.group(1)) if match else 0\n",
+    "\n",
+    "\n",
+    "def position_duration_summary(state) -> dict:\n",
+    "    positions = [p for p in state.portfolio.get_all_positions() if not p.is_credit_supply()]\n",
+    "    durations = []\n",
+    "    for position in positions:\n",
+    "        closed_at = position.closed_at if position.closed_at is not None else Parameters.backtest_end\n",
+    "        durations.append((closed_at - position.opened_at).total_seconds() / 86400)\n",
+    "    duration_series = pd.Series(durations, dtype='float64')\n",
+    "    return {\n",
+    "        'position_count': len(positions),\n",
+    "        'positions_lt_3d': int((duration_series < 3).sum()),\n",
+    "        'share_positions_lt_3d': float((duration_series < 3).mean()) if len(duration_series) else float('nan'),\n",
+    "        'median_position_days': float(duration_series.median()) if len(duration_series) else float('nan'),\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "def extract_selection_diagnostics_df(state) -> pd.DataFrame:\n",
+    "    rows = []\n",
+    "    for unix_ts, messages in sorted(state.visualisation.messages.items(), key=lambda item: item[0]):\n",
+    "        if not messages:\n",
+    "            continue\n",
+    "        message = '\\n'.join(messages)\n",
+    "        rows.append(\n",
+    "            {\n",
+    "                'timestamp': datetime.datetime.utcfromtimestamp(unix_ts),\n",
+    "                'open_positions': _extract_optional_int(message, 'Open/about to open positions'),\n",
+    "                'candidate_signals_created': _extract_optional_int(message, 'Candidate signals created'),\n",
+    "                'selected_survivor_signals': _extract_optional_int(message, 'Selected survivor signals'),\n",
+    "            }\n",
+    "        )\n",
+    "    return pd.DataFrame(rows).set_index('timestamp')\n",
+    "\n",
+    "\n",
+    "def decide_trades(input: StrategyInput) -> list[TradeExecution]:\n",
+    "    \"\"\"Run survivor-first capped waterfall sizing with a redemption-aware target value.\"\"\"\n",
+    "    parameters = input.parameters\n",
+    "    position_manager = input.get_position_manager()\n",
+    "    state = input.state\n",
+    "    timestamp = input.timestamp\n",
+    "    indicators = input.indicators\n",
+    "    strategy_universe = input.strategy_universe\n",
+    "\n",
+    "    portfolio = position_manager.get_current_portfolio()\n",
+    "    equity = portfolio.get_total_equity()\n",
+    "\n",
+    "    if input.execution_context.mode == ExecutionMode.backtesting and equity < parameters.initial_cash * 0.10:\n",
+    "        return []\n",
+    "\n",
+    "    alpha_model = AlphaModel(\n",
+    "        timestamp,\n",
+    "        close_position_weight_epsilon=parameters.min_portfolio_weight_pct,\n",
+    "    )\n",
+    "\n",
+    "    tvl_included_pair_count = indicators.get_indicator_value('tvl_included_pair_count')\n",
+    "    included_pairs = indicators.get_indicator_value('inclusion_criteria', na_conversion=False)\n",
+    "    if included_pairs is None:\n",
+    "        included_pairs = []\n",
+    "\n",
+    "    signal_count = 0\n",
+    "    for pair_id in included_pairs:\n",
+    "        pair = strategy_universe.get_pair_by_id(pair_id)\n",
+    "        if not state.is_good_pair(pair):\n",
+    "            continue\n",
+    "        if is_quarantined(pair.pool_address, timestamp):\n",
+    "            continue\n",
+    "        age_ramp_weight = indicators.get_indicator_value('age_ramp_weight', pair=pair)\n",
+    "        weight_signal_value = age_ramp_weight if age_ramp_weight is not None else 1.0\n",
+    "        alpha_model.set_signal(pair, weight_signal_value)\n",
+    "        signal_count += 1\n",
+    "\n",
+    "    redeemable_capital = get_redeemable_portfolio_capital(position_manager)\n",
+    "    portfolio_target_value = calculate_portfolio_target_value(\n",
+    "        position_manager,\n",
+    "        parameters.allocation_pct,\n",
+    "    )\n",
+    "\n",
+    "    alpha_model.select_top_signals(count=parameters.max_assets_in_portfolio)\n",
+    "    alpha_model.assign_weights(method=weight_passthrouh)\n",
+    "\n",
+    "    # Lighter pools are expected to have complete TVL data in live trading.\n",
+    "    # Fail the cycle loudly if TVL is missing instead of silently sizing with a placeholder.\n",
+    "    size_risk_model = USDTVLSizeRiskModel(\n",
+    "        pricing_model=input.pricing_model,\n",
+    "        per_position_cap=parameters.per_position_cap_of_pool_pct,\n",
+    "    )\n",
+    "\n",
+    "    alpha_model.normalise_weights(\n",
+    "        investable_equity=portfolio_target_value,\n",
+    "        size_risk_model=size_risk_model,\n",
+    "        max_weight=parameters.max_concentration_pct,\n",
+    "        max_positions=parameters.max_assets_in_portfolio,\n",
+    "        waterfall=True,\n",
+    "    )\n",
+    "    alpha_model.update_old_weights(state.portfolio, ignore_credit=False)\n",
+    "    alpha_model.calculate_target_positions(position_manager)\n",
+    "\n",
+    "    trades = alpha_model.generate_rebalance_trades_and_triggers(\n",
+    "        position_manager,\n",
+    "        min_trade_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "        individual_rebalance_min_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "        sell_rebalance_min_threshold=parameters.sell_rebalance_min_threshold_usd,\n",
+    "        execution_context=input.execution_context,\n",
+    "    )\n",
+    "    state.visualisation.add_calculations(\n",
+    "        timestamp,\n",
+    "        {\"unallocatable_signals\": alpha_model.get_unallocatable_signals()},\n",
+    "    )\n",
+    "\n",
+    "    if input.is_visualisation_enabled():\n",
+    "        try:\n",
+    "            top_signal = next(iter(alpha_model.get_signals_sorted_by_weight()))\n",
+    "            if top_signal.normalised_weight == 0:\n",
+    "                top_signal = None\n",
+    "        except StopIteration:\n",
+    "            top_signal = None\n",
+    "\n",
+    "        rebalance_volume = sum(trade.get_value() for trade in trades)\n",
+    "        report = dedent_any(\n",
+    "            f\"\"\"\n",
+    "            Cycle: #{input.cycle}\n",
+    "            Rebalanced: {'\ud83d\udc4d' if alpha_model.is_rebalance_triggered() else '\ud83d\udc4e'}\n",
+    "            Open/about to open positions: {len(state.portfolio.open_positions)}\n",
+    "            Max position value change: {alpha_model.max_position_adjust_usd:,.2f} USD\n",
+    "            Rebalance threshold: {alpha_model.position_adjust_threshold_usd:,.2f} USD\n",
+    "            Trades decided: {len(trades)}\n",
+    "            Pairs meeting inclusion criteria: {len(included_pairs)}\n",
+    "            Pairs meeting TVL inclusion criteria: {tvl_included_pair_count}\n",
+    "            Candidate signals created: {signal_count}\n",
+    "            Selected survivor signals: {len(alpha_model.signals)}\n",
+    "            Weight signal: {parameters.weight_signal}\n",
+    "            Age ramp period: {parameters.age_ramp_period}\n",
+    "            Total equity: {portfolio.get_total_equity():,.2f} USD\n",
+    "            Cash: {position_manager.get_current_cash():,.2f} USD\n",
+    "            Redeemable capital: {redeemable_capital:,.2f} USD\n",
+    "            Pending redemptions: {position_manager.get_pending_redemptions():,.2f} USD\n",
+    "            Investable equity: {alpha_model.investable_equity:,.2f} USD\n",
+    "            Accepted investable equity: {alpha_model.accepted_investable_equity:,.2f} USD\n",
+    "            Allocated to signals: {alpha_model.get_allocated_value():,.2f} USD\n",
+    "            Discarded allocation because of lack of lit liquidity: {alpha_model.size_risk_discarded_value:,.2f} USD\n",
+    "            Rebalance volume: {rebalance_volume:,.2f} USD\n",
+    "            \"\"\"\n",
+    "        )\n",
+    "\n",
+    "        if top_signal:\n",
+    "            assert top_signal.position_size_risk\n",
+    "            report += dedent_any(\n",
+    "                f\"\"\"\n",
+    "                Top signal pair: {top_signal.pair.get_ticker()}\n",
+    "                Top signal value: {top_signal.signal}\n",
+    "                Top signal weight: {top_signal.raw_weight}\n",
+    "                Top signal weight (normalised): {top_signal.normalised_weight * 100:.2f} % (got {top_signal.position_size_risk.get_relative_capped_amount() * 100:.2f} % of asked size)\n",
+    "                \"\"\"\n",
+    "            )\n",
+    "\n",
+    "        for flag, count in alpha_model.get_flag_diagnostics_data().items():\n",
+    "            report += f'Signals with flag {flag.name}: {count}' + '\\n'\n",
+    "\n",
+    "        state.visualisation.add_message(timestamp, report)\n",
+    "        state.visualisation.set_discardable_data('alpha_model', alpha_model)\n",
+    "\n",
+    "    return trades\n",
+    "\n",
+    "\n",
+    "result = run_backtest_inline(\n",
+    "    name='NB158 - Waterfall release candidate (baseline)',\n",
+    "    engine_version='0.5',\n",
+    "    decide_trades=decide_trades,\n",
+    "    # Reuse the indicator combinations preloaded above. This keeps the cache\n",
+    "    # status message to a single occurrence for the full 31-method trial.\n",
+    "    indicator_combinations=indicator_data.indicator_combinations,\n",
+    "    cycle_duration=CycleDuration.from_timebucket(parameters.candle_time_bucket),\n",
+    "    client=client,\n",
+    "    universe=strategy_universe,\n",
+    "    parameters=parameters,\n",
+    "    max_workers=1,\n",
+    "    start_at=Parameters.backtest_start,\n",
+    "    end_at=Parameters.backtest_end,\n",
+    ")\n",
+    "\n",
+    "state = result.state\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b6f2392e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:00:07.006759Z",
+     "iopub.status.busy": "2026-07-23T07:00:07.004453Z",
+     "iopub.status.idle": "2026-07-23T07:00:07.028653Z",
+     "shell.execute_reply": "2026-07-23T07:00:07.027665Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import dataclasses\n",
+    "import gc\n",
+    "import math\n",
+    "import time\n",
+    "from collections.abc import Callable\n",
+    "\n",
+    "import numpy as np\n",
+    "from tradeexecutor.strategy.parameters import StrategyParameters\n",
+    "from tradeexecutor.strategy.weighting import weight_equal\n",
+    "\n",
+    "\n",
+    "@dataclasses.dataclass(frozen=True)\n",
+    "class TrialConfig:\n",
+    "    source_id: str\n",
+    "    human_name: str\n",
+    "    family: str\n",
+    "    signal_method: str\n",
+    "    allocator: str\n",
+    "    cash_policy: str = 'redemption_aware'\n",
+    "    provenance: str = 'historical_overlap'\n",
+    "    notes: str = ''\n",
+    "\n",
+    "\n",
+    "# Source constants are fixed before this evaluation; no optimiser runs in this notebook.\n",
+    "SOURCE_CONSTANTS = {\n",
+    "    'rolling_window': 60,\n",
+    "    'sterling_window': 180,\n",
+    "    'sterling_constant': 0.10,\n",
+    "    'psr_window': 60,\n",
+    "    'psr_floor': 0.30,\n",
+    "    'psr_multiplier': 0.50,\n",
+    "    'bayesian_halflife_days': 60,\n",
+    "    'softmax_temperature': 1.0,\n",
+    "    'tvl_soft_floor_usd': 15_000.0,\n",
+    "    'trend_window_days': 30,\n",
+    "    'trend_overlay_strength': 0.30,\n",
+    "    'trend_age_ramp_period_years': 0.25,\n",
+    "    'volatility_penalty_strength': 0.30,\n",
+    "    'age_bucket_young_days': 90,\n",
+    "    'age_bucket_mature_days': 270,\n",
+    "    'optimised_bucket_young_days': 60,\n",
+    "    'optimised_bucket_mid_days': 90,\n",
+    "    'correlation_window_days': 60,\n",
+    "    'correlation_distance_threshold': 0.50,\n",
+    "    'capacity_tilt_min': 1.0,\n",
+    "    'capacity_tilt_max': 2.0,\n",
+    "    'minimum_hold_days': 3,\n",
+    "    'protocol_cap': 0.40,\n",
+    "}\n",
+    "\n",
+    "\n",
+    "TRIAL_CONFIGS = [\n",
+    "    TrialConfig('NB22', 'Inverse-volatility weighting', 'weight', 'inverse_volatility', 'non_recycle'),\n",
+    "    TrialConfig('NB23a', 'Equal weight', 'weight', 'equal_weight', 'non_recycle'),\n",
+    "    TrialConfig('NB23b', 'Log-signal weighting', 'weight', 'log_age_ramp', 'recycle'),\n",
+    "    TrialConfig('NB24', 'Signal-ranked waterfall', 'combined', 'log_age_ramp', 'waterfall'),\n",
+    "    TrialConfig('NB26', 'Sortino-based weighting', 'weight', 'sortino', 'recycle'),\n",
+    "    TrialConfig('NB27', 'Sharpe-based weighting', 'weight', 'sharpe', 'recycle'),\n",
+    "    TrialConfig('NB28', 'Diversified waterfall', 'allocator', 'age_ramp', 'diversified_waterfall', notes='Chain cap is a no-op on this single-chain universe.'),\n",
+    "    TrialConfig('NB29', 'Dynamic diversified waterfall', 'combined', 'sharpe', 'diversified_waterfall', notes='Chain cap is a no-op on this single-chain universe.'),\n",
+    "    TrialConfig('NB45', 'Calmar-signal allocation', 'weight', 'calmar', 'recycle'),\n",
+    "    TrialConfig('NB54', 'PSR concentration', 'combined', 'calmar', 'psr_concentration'),\n",
+    "    TrialConfig('NB59', 'Linear PSR gate', 'combined', 'linear_psr', 'psr_linear'),\n",
+    "    TrialConfig('NB60', 'Bayesian credibility weighting', 'weight', 'bayesian', 'recycle'),\n",
+    "    TrialConfig('NB63', 'Softmax allocation', 'weight', 'softmax_sharpe', 'recycle', provenance='approximation', notes='Temperature fixed to 1.0 because the source notebook did not expose one canonical winner.'),\n",
+    "    TrialConfig('NB64', 'Threshold-linear allocation', 'weight', 'threshold_linear', 'recycle', provenance='approximation', notes='Cross-sectional 25th/75th percentile mapping.'),\n",
+    "    TrialConfig('NB66', 'Dual-signal gate and weight', 'combined', 'dual_bayesian_sharpe', 'recycle'),\n",
+    "    TrialConfig('NB68', 'Bayesian gate with equal weight', 'selector', 'bayesian_gate_equal', 'recycle'),\n",
+    "    TrialConfig('NB71', 'Rank-composite selection', 'selector', 'rank_composite', 'recycle'),\n",
+    "    TrialConfig('NB88', 'Age-ramp weighting', 'weight', 'age_ramp', 'recycle'),\n",
+    "    TrialConfig('NB93', 'Age-TVL soft prior', 'weight', 'age_tvl_soft_prior', 'recycle'),\n",
+    "    TrialConfig('NB101', 'Age ramp with trend overlay', 'combined', 'age_trend_overlay', 'recycle'),\n",
+    "    TrialConfig('NB102', 'Age-bucket equal weight', 'weight', 'age_bucket_equal', 'recycle'),\n",
+    "    TrialConfig('NB109', 'Volatility-of-volatility penalty', 'combined', 'age_volvol_penalty', 'recycle'),\n",
+    "    TrialConfig('NB116', 'Sharpe-optimised age buckets', 'weight', 'age_bucket_optimised', 'recycle'),\n",
+    "    TrialConfig('NB128', 'Correlation-cluster equal weight', 'weight', 'correlation_cluster', 'recycle'),\n",
+    "    TrialConfig('NB130', 'Survivor-first renormalisation', 'allocator', 'age_ramp', 'survivor_non_recycle'),\n",
+    "    TrialConfig('NB131', 'Age-ramp selection with equal deployment', 'combined', 'age_select_equal', 'non_recycle'),\n",
+    "    TrialConfig('NB142', 'Equal-weight recycle', 'allocator', 'age_select_equal', 'recycle'),\n",
+    "    TrialConfig('NB143', 'Capped survivor-first waterfall', 'allocator', 'age_ramp', 'waterfall', cash_policy='plain_equity'),\n",
+    "    TrialConfig('NB144', 'Capacity-aware equal weight', 'allocator', 'capacity_equal', 'recycle'),\n",
+    "    TrialConfig('NB152', 'Equal-weight recycle with minimum hold', 'combined', 'age_select_equal', 'minimum_hold_recycle'),\n",
+    "    TrialConfig('NB158', 'Waterfall release candidate', 'combined', 'age_ramp', 'waterfall'),\n",
+    "]\n",
+    "\n",
+    "assert len(TRIAL_CONFIGS) == 31\n",
+    "assert len({config.source_id for config in TRIAL_CONFIGS}) == 31\n",
+    "\n",
+    "SURVIVOR_FIRST_HANDLERS = {\n",
+    "    'NB130': 'survivor_non_recycle',\n",
+    "    'NB131': 'age_select_equal + non_recycle',\n",
+    "    'NB142': 'age_select_equal + recycle',\n",
+    "    'NB143': 'age_ramp + waterfall + plain_equity',\n",
+    "    'NB144': 'capacity_equal + recycle',\n",
+    "    'NB158': 'age_ramp + waterfall + redemption_aware',\n",
+    "}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "02999a0e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:00:07.079946Z",
+     "iopub.status.busy": "2026-07-23T07:00:07.079288Z",
+     "iopub.status.idle": "2026-07-23T07:00:07.144952Z",
+     "shell.execute_reply": "2026-07-23T07:00:07.129219Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "def _finite(value, fallback=float('nan')) -> float:\n",
+    "    try:\n",
+    "        value = float(value)\n",
+    "    except (TypeError, ValueError):\n",
+    "        return fallback\n",
+    "    return value if math.isfinite(value) else fallback\n",
+    "\n",
+    "\n",
+    "def _positive(value, fallback=0.0) -> float:\n",
+    "    value = _finite(value, fallback)\n",
+    "    return max(value, 0.0)\n",
+    "\n",
+    "\n",
+    "def _extract_trial_utilisation(local_state) -> pd.DataFrame:\n",
+    "    rows = []\n",
+    "    for unix_ts, messages in sorted(local_state.visualisation.messages.items()):\n",
+    "        if not messages:\n",
+    "            continue\n",
+    "        message = '\\n'.join(messages)\n",
+    "\n",
+    "        def value(label):\n",
+    "            match = re.search(rf'{re.escape(label)}: ([0-9,]+(?:\\.[0-9]+)?) USD', message)\n",
+    "            return float(match.group(1).replace(',', '')) if match else float('nan')\n",
+    "\n",
+    "        total = value('Total equity')\n",
+    "        cash = value('Cash')\n",
+    "        investable = value('Investable equity')\n",
+    "        accepted = value('Accepted investable equity')\n",
+    "        rows.append({\n",
+    "            'timestamp': datetime.datetime.fromtimestamp(unix_ts, datetime.UTC).replace(tzinfo=None),\n",
+    "            'cash_pct': cash / total if total else float('nan'),\n",
+    "            'accepted_pct': accepted / investable if investable else float('nan'),\n",
+    "        })\n",
+    "    return pd.DataFrame(rows).set_index('timestamp') if rows else pd.DataFrame()\n",
+    "\n",
+    "\n",
+    "def _position_duration_metrics(local_state) -> dict:\n",
+    "    positions = [position for position in local_state.portfolio.get_all_positions() if not position.is_credit_supply()]\n",
+    "    durations = []\n",
+    "    for position in positions:\n",
+    "        closed_at = position.closed_at if position.closed_at is not None else Parameters.backtest_end\n",
+    "        durations.append((closed_at - position.opened_at).total_seconds() / 86400.0)\n",
+    "    series = pd.Series(durations, dtype=float)\n",
+    "    return {\n",
+    "        'Positions': len(positions),\n",
+    "        'Positions under 3d': int((series < 3.0).sum()),\n",
+    "        'Median position days': float(series.median()) if len(series) else float('nan'),\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "def _metric_block(local_returns: pd.Series, prefix: str) -> dict:\n",
+    "    local_returns = local_returns.dropna()\n",
+    "    if len(local_returns) < 2:\n",
+    "        return {\n",
+    "            f'{prefix} cumulative return': float('nan'),\n",
+    "            f'{prefix} CAGR': float('nan'),\n",
+    "            f'{prefix} Sharpe': float('nan'),\n",
+    "            f'{prefix} Sortino': float('nan'),\n",
+    "            f'{prefix} Calmar': float('nan'),\n",
+    "            f'{prefix} Max DD': float('nan'),\n",
+    "        }\n",
+    "    cagr = float(calculate_cagr(local_returns))\n",
+    "    max_drawdown = float(calculate_max_drawdown(local_returns))\n",
+    "    calmar = cagr / abs(max_drawdown) if max_drawdown < 0.0 else float('nan')\n",
+    "    return {\n",
+    "        f'{prefix} cumulative return': float((1.0 + local_returns).prod() - 1.0),\n",
+    "        f'{prefix} CAGR': cagr,\n",
+    "        f'{prefix} Sharpe': float(calculate_sharpe(local_returns, periods=365)),\n",
+    "        f'{prefix} Sortino': float(calculate_sortino(local_returns, periods=365)),\n",
+    "        f'{prefix} Calmar': calmar,\n",
+    "        f'{prefix} Max DD': max_drawdown,\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "def _get_snapshot(input: StrategyInput, included_pairs) -> pd.DataFrame:\n",
+    "    rows = []\n",
+    "    for pair_id in included_pairs:\n",
+    "        pair = input.strategy_universe.get_pair_by_id(pair_id)\n",
+    "        if not input.state.is_good_pair(pair) or is_quarantined(pair.pool_address, input.timestamp):\n",
+    "            continue\n",
+    "        rows.append({\n",
+    "            'pair_id': pair_id,\n",
+    "            'pair': pair,\n",
+    "            'age': _finite(input.indicators.get_indicator_value('age', pair=pair)),\n",
+    "            'age_ramp': _positive(input.indicators.get_indicator_value('age_ramp_weight', pair=pair), 0.05),\n",
+    "            'tvl': _positive(input.indicators.get_indicator_value('tvl', pair=pair)),\n",
+    "            'return_60': _finite(input.indicators.get_indicator_value('rolling_return_60', pair=pair)),\n",
+    "            'volatility_60': _finite(input.indicators.get_indicator_value('rolling_volatility_60', pair=pair)),\n",
+    "            'sharpe_60': _finite(input.indicators.get_indicator_value('rolling_sharpe_60', pair=pair)),\n",
+    "            'sortino_60': _finite(input.indicators.get_indicator_value('rolling_sortino_60', pair=pair)),\n",
+    "            'calmar_60': _finite(input.indicators.get_indicator_value('rolling_calmar_60', pair=pair)),\n",
+    "            'psr_60': _finite(input.indicators.get_indicator_value('rolling_psr_60', pair=pair)),\n",
+    "            'sterling_180': _finite(input.indicators.get_indicator_value('sterling_signal_180', pair=pair)),\n",
+    "            'trend_r2_30': _finite(input.indicators.get_indicator_value('trend_r2_30', pair=pair)),\n",
+    "            'volvol_60': _finite(input.indicators.get_indicator_value('volatility_of_volatility_60', pair=pair)),\n",
+    "        })\n",
+    "    if not rows:\n",
+    "        return pd.DataFrame()\n",
+    "    frame = pd.DataFrame(rows).set_index('pair_id')\n",
+    "    valid_sterling = frame['sterling_180'].replace([np.inf, -np.inf], np.nan).dropna()\n",
+    "    prior = float(valid_sterling.mean()) if len(valid_sterling) else 0.0\n",
+    "    age_days = frame['age'].clip(lower=0.0) * 365.25\n",
+    "    credibility = age_days / (age_days + SOURCE_CONSTANTS['bayesian_halflife_days'])\n",
+    "    frame['bayesian'] = credibility * frame['sterling_180'].fillna(prior) + (1.0 - credibility) * prior\n",
+    "    for column in ['return_60', 'sharpe_60', 'calmar_60', 'age', 'tvl']:\n",
+    "        frame[f'{column}_rank'] = frame[column].replace([np.inf, -np.inf], np.nan).rank(pct=True).fillna(0.5)\n",
+    "    frame['rank_composite'] = frame[[\n",
+    "        'return_60_rank', 'sharpe_60_rank', 'calmar_60_rank', 'age_rank', 'tvl_rank'\n",
+    "    ]].mean(axis=1)\n",
+    "    frame['volvol_rank'] = frame['volvol_60'].replace([np.inf, -np.inf], np.nan).rank(pct=True).fillna(0.5)\n",
+    "    return frame\n",
+    "\n",
+    "\n",
+    "def _age_bucket_weights(frame: pd.DataFrame, young_days: int, mature_days: int) -> pd.Series:\n",
+    "    age_days = frame['age'] * 365.25\n",
+    "    buckets = {\n",
+    "        'young': frame.index[age_days < young_days],\n",
+    "        'mid': frame.index[(age_days >= young_days) & (age_days < mature_days)],\n",
+    "        'mature': frame.index[age_days >= mature_days],\n",
+    "    }\n",
+    "    active = [members for members in buckets.values() if len(members)]\n",
+    "    weights = pd.Series(0.0, index=frame.index)\n",
+    "    if not active:\n",
+    "        return weights\n",
+    "    bucket_weight = 1.0 / len(active)\n",
+    "    for members in active:\n",
+    "        weights.loc[members] = bucket_weight / len(members)\n",
+    "    return weights\n",
+    "\n",
+    "\n",
+    "def _method_scores(config: TrialConfig, frame: pd.DataFrame, input: StrategyInput) -> tuple[pd.Series, pd.Series, pd.Series]:\n",
+    "    age = frame['age_ramp'].clip(lower=0.05)\n",
+    "    selection = age.copy()\n",
+    "    weights = age.copy()\n",
+    "    eligible = pd.Series(True, index=frame.index)\n",
+    "    method = config.signal_method\n",
+    "\n",
+    "    if method in {'equal_weight', 'age_select_equal'}:\n",
+    "        weights = pd.Series(1.0, index=frame.index)\n",
+    "    elif method == 'inverse_volatility':\n",
+    "        weights = 1.0 / frame['volatility_60'].clip(lower=0.01)\n",
+    "        selection = weights\n",
+    "    elif method == 'log_age_ramp':\n",
+    "        weights = np.log1p(age)\n",
+    "    elif method == 'sortino':\n",
+    "        weights = frame['sortino_60'].clip(lower=0.0).fillna(0.0)\n",
+    "        selection = weights\n",
+    "    elif method == 'sharpe':\n",
+    "        weights = frame['sharpe_60'].clip(lower=0.0).fillna(0.0)\n",
+    "        selection = weights\n",
+    "    elif method == 'calmar':\n",
+    "        weights = frame['calmar_60'].clip(lower=0.0).fillna(0.0)\n",
+    "        selection = weights\n",
+    "    elif method == 'linear_psr':\n",
+    "        floor = SOURCE_CONSTANTS['psr_floor']\n",
+    "        psr = frame['psr_60'].clip(lower=0.0, upper=1.0).fillna(0.0)\n",
+    "        eligible = psr > floor\n",
+    "        weights = ((psr - floor) / (1.0 - floor)).clip(lower=0.0)\n",
+    "        selection = weights\n",
+    "    elif method == 'bayesian':\n",
+    "        weights = frame['bayesian'].clip(lower=0.0).fillna(0.0)\n",
+    "        selection = weights\n",
+    "    elif method == 'softmax_sharpe':\n",
+    "        values = frame['sharpe_60'].replace([np.inf, -np.inf], np.nan).fillna(0.0)\n",
+    "        standardised = (values - values.mean()) / max(values.std(), 1e-9)\n",
+    "        exponential = np.exp((standardised / SOURCE_CONSTANTS['softmax_temperature']).clip(-20.0, 20.0))\n",
+    "        weights = exponential / exponential.sum()\n",
+    "        selection = values\n",
+    "    elif method == 'threshold_linear':\n",
+    "        rank = frame['sharpe_60_rank']\n",
+    "        weights = ((rank - 0.25) / 0.50).clip(lower=0.0, upper=1.0)\n",
+    "        selection = rank\n",
+    "    elif method in {'dual_bayesian_sharpe', 'bayesian_gate_equal'}:\n",
+    "        eligible = frame['bayesian'] > 0.0\n",
+    "        selection = frame['bayesian'].fillna(0.0)\n",
+    "        weights = frame['sharpe_60'].clip(lower=0.0).fillna(0.0) if method == 'dual_bayesian_sharpe' else pd.Series(1.0, index=frame.index)\n",
+    "    elif method == 'rank_composite':\n",
+    "        selection = frame['rank_composite']\n",
+    "        weights = pd.Series(1.0, index=frame.index)\n",
+    "    elif method == 'age_tvl_soft_prior':\n",
+    "        period = 1.0\n",
+    "        age_weight = (frame['age'] / period).clip(lower=0.05, upper=1.0)\n",
+    "        tvl_weight = (frame['tvl'] / SOURCE_CONSTANTS['tvl_soft_floor_usd']).clip(lower=0.05, upper=1.0)\n",
+    "        weights = age_weight * tvl_weight\n",
+    "        selection = weights\n",
+    "    elif method == 'age_trend_overlay':\n",
+    "        age_weight = (frame['age'] / SOURCE_CONSTANTS['trend_age_ramp_period_years']).clip(lower=0.05, upper=1.0)\n",
+    "        weights = age_weight * (1.0 + SOURCE_CONSTANTS['trend_overlay_strength'] * frame['trend_r2_30'].clip(lower=0.0, upper=1.0).fillna(0.0))\n",
+    "        selection = weights\n",
+    "    elif method == 'age_bucket_equal':\n",
+    "        weights = _age_bucket_weights(frame, SOURCE_CONSTANTS['age_bucket_young_days'], SOURCE_CONSTANTS['age_bucket_mature_days'])\n",
+    "        selection = weights\n",
+    "    elif method == 'age_volvol_penalty':\n",
+    "        weights = age * (1.0 - SOURCE_CONSTANTS['volatility_penalty_strength'] * frame['volvol_rank'])\n",
+    "        selection = weights\n",
+    "    elif method == 'age_bucket_optimised':\n",
+    "        weights = _age_bucket_weights(frame, SOURCE_CONSTANTS['optimised_bucket_young_days'], SOURCE_CONSTANTS['optimised_bucket_mid_days'])\n",
+    "        selection = weights\n",
+    "    elif method == 'correlation_cluster':\n",
+    "        cluster_data = input.indicators.get_indicator_value('correlation_cluster_weights_60', na_conversion=False)\n",
+    "        if isinstance(cluster_data, dict):\n",
+    "            weights = pd.Series({pair_id: cluster_data.get(str(pair_id), 0.0) for pair_id in frame.index})\n",
+    "            if weights.sum() <= 0:\n",
+    "                weights = pd.Series(1.0, index=frame.index)\n",
+    "        else:\n",
+    "            weights = pd.Series(1.0, index=frame.index)\n",
+    "        selection = weights\n",
+    "    elif method == 'capacity_equal':\n",
+    "        weights = (frame['tvl'] / parameters.min_tvl_usd).clip(lower=1.0).pow(0.5).clip(upper=2.0)\n",
+    "    elif method != 'age_ramp':\n",
+    "        raise ValueError(f'Unknown signal method: {method}')\n",
+    "\n",
+    "    finite_weights = weights.replace([np.inf, -np.inf], np.nan).fillna(0.0).clip(lower=0.0)\n",
+    "    finite_selection = selection.replace([np.inf, -np.inf], np.nan).fillna(0.0)\n",
+    "    if method == 'dual_bayesian_sharpe':\n",
+    "        # NB66 and NB68 share the Bayesian gate; Sharpe changes sizing only.\n",
+    "        finite_weights = finite_weights.clip(lower=1e-12)\n",
+    "    else:\n",
+    "        eligible &= finite_weights > 0.0\n",
+    "    return finite_selection, finite_weights, eligible\n",
+    "\n",
+    "\n",
+    "def _minimum_hold_ids(input: StrategyInput, included_ids: set[int]) -> set[int]:\n",
+    "    current_dt = input.timestamp.to_pydatetime() if hasattr(input.timestamp, 'to_pydatetime') else input.timestamp\n",
+    "    threshold = datetime.timedelta(days=SOURCE_CONSTANTS['minimum_hold_days'])\n",
+    "    held = set()\n",
+    "    for position in input.state.portfolio.get_open_positions():\n",
+    "        pair = position.pair\n",
+    "        if pair.is_credit_supply() or current_dt - position.opened_at >= threshold:\n",
+    "            continue\n",
+    "        if pair.internal_id not in included_ids:\n",
+    "            continue\n",
+    "        if is_quarantined(pair.pool_address, input.timestamp) or not input.state.is_good_pair(pair):\n",
+    "            continue\n",
+    "        held.add(pair.internal_id)\n",
+    "    return held\n",
+    "\n",
+    "\n",
+    "trial_traces = {}\n",
+    "\n",
+    "\n",
+    "def make_trial_decide_trades(config: TrialConfig):\n",
+    "    trace = []\n",
+    "    trial_traces[config.source_id] = trace\n",
+    "\n",
+    "    def trial_decide_trades(input: StrategyInput) -> list[TradeExecution]:\n",
+    "        position_manager = input.get_position_manager()\n",
+    "        portfolio = position_manager.get_current_portfolio()\n",
+    "        equity = portfolio.get_total_equity()\n",
+    "        if input.execution_context.mode == ExecutionMode.backtesting and equity < input.parameters.initial_cash * 0.10:\n",
+    "            return []\n",
+    "\n",
+    "        included_pairs = input.indicators.get_indicator_value('inclusion_criteria', na_conversion=False)\n",
+    "        included_pairs = [] if included_pairs is None else list(included_pairs)\n",
+    "        frame = _get_snapshot(input, included_pairs)\n",
+    "        if frame.empty:\n",
+    "            return []\n",
+    "\n",
+    "        selection, method_weights, eligible = _method_scores(config, frame, input)\n",
+    "        candidate_ids = list(frame.index[eligible])\n",
+    "        ordered = sorted(candidate_ids, key=lambda pair_id: (-selection.loc[pair_id], pair_id))\n",
+    "        selected_ids = ordered[:input.parameters.max_assets_in_portfolio]\n",
+    "\n",
+    "        blocked_by_hold = 0\n",
+    "        if config.allocator == 'minimum_hold_recycle':\n",
+    "            hold_ids = _minimum_hold_ids(input, set(included_pairs))\n",
+    "            naturally_selected = set(selected_ids)\n",
+    "            blocked_by_hold = len(hold_ids - naturally_selected)\n",
+    "            selected_ids = list(sorted(hold_ids))\n",
+    "            selected_ids.extend(pair_id for pair_id in ordered if pair_id not in hold_ids)\n",
+    "            selected_ids = selected_ids[:input.parameters.max_assets_in_portfolio]\n",
+    "\n",
+    "        alpha_model = AlphaModel(input.timestamp, close_position_weight_epsilon=input.parameters.min_portfolio_weight_pct)\n",
+    "        for pair_id in selected_ids:\n",
+    "            alpha_model.set_signal(frame.loc[pair_id, 'pair'], max(float(selection.loc[pair_id]), 1e-12))\n",
+    "        alpha_model.select_top_signals(count=len(selected_ids))\n",
+    "\n",
+    "        equal_sizing = config.signal_method in {'equal_weight', 'age_select_equal', 'bayesian_gate_equal'}\n",
+    "        if config.signal_method == 'capacity_equal':\n",
+    "            for pair_id, signal in alpha_model.signals.items():\n",
+    "                signal.raw_weight = float(method_weights.loc[pair_id])\n",
+    "        elif equal_sizing:\n",
+    "            alpha_model.assign_weights(method=weight_equal)\n",
+    "        else:\n",
+    "            for pair_id, signal in alpha_model.signals.items():\n",
+    "                signal.signal = max(float(method_weights.loc[pair_id]), 1e-12)\n",
+    "            alpha_model.assign_weights(method=weight_passthrouh)\n",
+    "\n",
+    "        if config.cash_policy == 'redemption_aware':\n",
+    "            portfolio_target_value = calculate_portfolio_target_value(position_manager, input.parameters.allocation_pct)\n",
+    "        elif config.cash_policy == 'plain_equity':\n",
+    "            portfolio_target_value = equity * input.parameters.allocation_pct\n",
+    "        else:\n",
+    "            raise ValueError(config.cash_policy)\n",
+    "\n",
+    "        max_positions = input.parameters.max_assets_in_portfolio\n",
+    "        waterfall = config.allocator in {'waterfall', 'diversified_waterfall'}\n",
+    "        if config.allocator in {'non_recycle', 'survivor_non_recycle'}:\n",
+    "            max_positions = None\n",
+    "\n",
+    "        max_weight_function = None\n",
+    "        if config.allocator == 'psr_concentration':\n",
+    "            psr_map = frame['psr_60'].clip(lower=0.0, upper=1.0).fillna(0.0).to_dict()\n",
+    "            max_weight_function = lambda signal: max(min(psr_map.get(signal.pair.internal_id, 0.0) * SOURCE_CONSTANTS['psr_multiplier'], 1.0), 0.01)\n",
+    "        elif config.allocator == 'psr_linear':\n",
+    "            psr_map = frame['psr_60'].clip(lower=0.0, upper=1.0).fillna(0.0).to_dict()\n",
+    "            floor = SOURCE_CONSTANTS['psr_floor']\n",
+    "            max_weight_function = lambda signal: max(min(((psr_map.get(signal.pair.internal_id, 0.0) - floor) / (1.0 - floor)) * SOURCE_CONSTANTS['psr_multiplier'], SOURCE_CONSTANTS['psr_multiplier']), 0.01)\n",
+    "\n",
+    "        size_risk_model = USDTVLSizeRiskModel(\n",
+    "            pricing_model=input.pricing_model,\n",
+    "            per_position_cap=input.parameters.per_position_cap_of_pool_pct,\n",
+    "        )\n",
+    "        alpha_model.normalise_weights(\n",
+    "            investable_equity=portfolio_target_value,\n",
+    "            size_risk_model=size_risk_model,\n",
+    "            max_weight=input.parameters.max_concentration_pct,\n",
+    "            max_positions=max_positions,\n",
+    "            waterfall=waterfall,\n",
+    "            max_protocol_weight=SOURCE_CONSTANTS['protocol_cap'] if config.allocator == 'diversified_waterfall' else None,\n",
+    "            max_weight_function=max_weight_function,\n",
+    "        )\n",
+    "        alpha_model.update_old_weights(input.state.portfolio, ignore_credit=False)\n",
+    "        alpha_model.calculate_target_positions(position_manager)\n",
+    "\n",
+    "        trace.append({\n",
+    "            'timestamp': pd.Timestamp(input.timestamp),\n",
+    "            'gated_ids': tuple(sorted(candidate_ids)),\n",
+    "            'selected_ids': tuple(sorted(alpha_model.signals)),\n",
+    "            'weights': {pair_id: float(signal.normalised_weight) for pair_id, signal in alpha_model.signals.items()},\n",
+    "            'eligible_count': len(frame),\n",
+    "            'blocked_by_hold': blocked_by_hold,\n",
+    "        })\n",
+    "\n",
+    "        trades = alpha_model.generate_rebalance_trades_and_triggers(\n",
+    "            position_manager,\n",
+    "            min_trade_threshold=input.parameters.individual_rebalance_min_threshold_usd,\n",
+    "            individual_rebalance_min_threshold=input.parameters.individual_rebalance_min_threshold_usd,\n",
+    "            sell_rebalance_min_threshold=input.parameters.sell_rebalance_min_threshold_usd,\n",
+    "            execution_context=input.execution_context,\n",
+    "        )\n",
+    "\n",
+    "        if input.is_visualisation_enabled():\n",
+    "            report = dedent_any(f\"\"\"\n",
+    "            Trial: {config.source_id}\n",
+    "            Total equity: {portfolio.get_total_equity():,.2f} USD\n",
+    "            Cash: {position_manager.get_current_cash():,.2f} USD\n",
+    "            Investable equity: {alpha_model.investable_equity:,.2f} USD\n",
+    "            Accepted investable equity: {alpha_model.accepted_investable_equity:,.2f} USD\n",
+    "            Eligible candidates: {len(frame)}\n",
+    "            Selected survivors: {len(alpha_model.signals)}\n",
+    "            Signals blocked by minimum hold: {blocked_by_hold}\n",
+    "            \"\"\")\n",
+    "            input.state.visualisation.add_message(input.timestamp, report)\n",
+    "        return trades\n",
+    "\n",
+    "    return trial_decide_trades\n",
+    "\n",
+    "\n",
+    "def summarise_trial(config: TrialConfig, local_state) -> dict:\n",
+    "    equity_curve = calculate_equity_curve(local_state)\n",
+    "    returns = calculate_returns(equity_curve)\n",
+    "    holdout_returns = returns.loc[returns.index >= pd.Timestamp('2026-03-12')]\n",
+    "    utilisation = _extract_trial_utilisation(local_state)\n",
+    "    row = {\n",
+    "        'ID': config.source_id,\n",
+    "        'Method': config.human_name,\n",
+    "        'Family': config.family,\n",
+    "        'Provenance': config.provenance,\n",
+    "        'Implementation': 'success',\n",
+    "        'Notes': config.notes,\n",
+    "        'Final equity': float(equity_curve.iloc[-1]),\n",
+    "        'Trades': len(list(local_state.portfolio.get_all_trades())),\n",
+    "        'Mean accepted deployment': float(utilisation['accepted_pct'].mean()) if len(utilisation) else float('nan'),\n",
+    "        'Mean cash': float(utilisation['cash_pct'].mean()) if len(utilisation) else float('nan'),\n",
+    "        'Best day': float(returns.max()),\n",
+    "        'Worst day': float(returns.min()),\n",
+    "        'Skew': float(returns.skew()),\n",
+    "        'Kurtosis': float(returns.kurtosis()),\n",
+    "    }\n",
+    "    row.update(_position_duration_metrics(local_state))\n",
+    "    row.update(_metric_block(returns, 'Full'))\n",
+    "    row.update(_metric_block(holdout_returns, 'Holdout'))\n",
+    "    return row"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "024dd29e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:00:07.213008Z",
+     "iopub.status.busy": "2026-07-23T07:00:07.212590Z",
+     "iopub.status.idle": "2026-07-23T07:05:49.200842Z",
+     "shell.execute_reply": "2026-07-23T07:05:49.200114Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "NB158 current-data drift from stored notebook 03 output: {'Full CAGR': -4.59936389739922, 'Full Sharpe': -2.61698320484009, 'Full Max DD': -0.3292146548436877}\n"
+     ]
+    }
+   ],
+   "source": [
+    "trial_rows = []\n",
+    "trial_equity_curves = {}\n",
+    "trial_states = {'NB158': state}\n",
+    "\n",
+    "# Notebook 03's exact run is the NB158 baseline and is not rerun through the factory.\n",
+    "baseline_config = next(config for config in TRIAL_CONFIGS if config.source_id == 'NB158')\n",
+    "baseline_row = summarise_trial(baseline_config, state)\n",
+    "trial_rows.append(baseline_row)\n",
+    "trial_equity_curves['NB158'] = calculate_equity_curve(state)\n",
+    "\n",
+    "expected_baseline = {\n",
+    "    'Full CAGR': 4.58888,\n",
+    "    'Full Sharpe': 2.916119,\n",
+    "    'Full Max DD': -0.106946,\n",
+    "}\n",
+    "baseline_snapshot_drift = {}\n",
+    "for metric, expected in expected_baseline.items():\n",
+    "    actual = baseline_row[metric]\n",
+    "    baseline_snapshot_drift[metric] = actual - expected\n",
+    "print('NB158 current-data drift from stored notebook 03 output:', baseline_snapshot_drift)\n",
+    "\n",
+    "trial_start = time.monotonic()\n",
+    "trial_count = len(TRIAL_CONFIGS) - 1\n",
+    "for index, config in enumerate(TRIAL_CONFIGS, start=1):\n",
+    "    if config.source_id == 'NB158':\n",
+    "        continue\n",
+    "    started = time.monotonic()\n",
+    "    try:\n",
+    "        trial_parameters = StrategyParameters.from_dict(dict(parameters))\n",
+    "        local_result = run_backtest_inline(\n",
+    "            name=f'{config.source_id} - {config.human_name} ({index}/{trial_count})',\n",
+    "            engine_version='0.5',\n",
+    "            decide_trades=make_trial_decide_trades(config),\n",
+    "            # Reuse the preloaded key set: cached indicators still load for\n",
+    "            # each isolated trial, but without repeating cache progress output.\n",
+    "            indicator_combinations=indicator_data.indicator_combinations,\n",
+    "            cycle_duration=CycleDuration.from_timebucket(parameters.candle_time_bucket),\n",
+    "            client=client,\n",
+    "            universe=strategy_universe,\n",
+    "            parameters=trial_parameters,\n",
+    "            max_workers=1,\n",
+    "            start_at=Parameters.backtest_start,\n",
+    "            end_at=Parameters.backtest_end,\n",
+    "        )\n",
+    "        local_state = local_result.state\n",
+    "        row = summarise_trial(config, local_state)\n",
+    "        row['Runtime seconds'] = time.monotonic() - started\n",
+    "        trial_rows.append(row)\n",
+    "        trial_equity_curves[config.source_id] = calculate_equity_curve(local_state)\n",
+    "\n",
+    "        successful = [candidate for candidate in trial_rows if candidate.get('Implementation') == 'success']\n",
+    "        leader_ids = {\n",
+    "            max(successful, key=lambda candidate: candidate.get('Holdout CAGR', float('-inf')))['ID'],\n",
+    "            max(successful, key=lambda candidate: candidate.get('Holdout Sharpe', float('-inf')))['ID'],\n",
+    "            max(successful, key=lambda candidate: candidate.get('Holdout Max DD', float('-inf')))['ID'],\n",
+    "            'NB158',\n",
+    "        }\n",
+    "        trial_states[config.source_id] = local_state\n",
+    "        for state_id in list(trial_states):\n",
+    "            if state_id not in leader_ids:\n",
+    "                del trial_states[state_id]\n",
+    "        del local_result\n",
+    "        gc.collect()\n",
+    "    except Exception as exception:\n",
+    "        trial_rows.append({\n",
+    "            'ID': config.source_id,\n",
+    "            'Method': config.human_name,\n",
+    "            'Family': config.family,\n",
+    "            'Provenance': config.provenance,\n",
+    "            'Implementation': 'failed',\n",
+    "            'Error': f'{type(exception).__name__}: {exception}',\n",
+    "            'Runtime seconds': time.monotonic() - started,\n",
+    "            'Notes': config.notes,\n",
+    "        })\n",
+    "        print(f'FAILED {config.source_id}: {type(exception).__name__}: {exception}')\n",
+    "\n",
+    "trial_df = pd.DataFrame(trial_rows)\n",
+    "assert set(trial_df['ID']) == {config.source_id for config in TRIAL_CONFIGS}\n",
+    "assert len(trial_df) == 31\n",
+    "trial_df['Sort key'] = trial_df['Holdout Sharpe'].fillna(float('-inf'))\n",
+    "trial_df = trial_df.sort_values(['Sort key', 'ID'], ascending=[False, True]).drop(columns=['Sort key'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b4aed29d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:05:49.271370Z",
+     "iopub.status.busy": "2026-07-23T07:05:49.271247Z",
+     "iopub.status.idle": "2026-07-23T07:05:49.275199Z",
+     "shell.execute_reply": "2026-07-23T07:05:49.274683Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "successful_df = trial_df[trial_df['Implementation'] == 'success'].copy()\n",
+    "assert len(trial_df) == 31\n",
+    "assert len(successful_df) == 31\n",
+    "assert np.isfinite(successful_df['Full CAGR']).all()\n",
+    "assert np.isfinite(successful_df['Full Sharpe']).all()\n",
+    "assert np.isfinite(successful_df['Full Sortino']).all()\n",
+    "assert np.isfinite(successful_df['Full Calmar']).all()\n",
+    "assert np.isfinite(successful_df['Full Max DD']).all()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "2bdc8474",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:05:49.307864Z",
+     "iopub.status.busy": "2026-07-23T07:05:49.307738Z",
+     "iopub.status.idle": "2026-07-23T07:06:00.250945Z",
+     "shell.execute_reply": "2026-07-23T07:06:00.250165Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "all_curves = []\n",
+    "for source_id, curve in sorted(trial_equity_curves.items()):\n",
+    "    curve_df = curve.rename('equity').rename_axis('timestamp').reset_index()\n",
+    "    curve_df['ID'] = source_id\n",
+    "    curve_df['relative_equity'] = curve_df['equity'] / curve_df['equity'].iloc[0]\n",
+    "    all_curves.append(curve_df)\n",
+    "\n",
+    "assert len(all_curves) == 31\n",
+    "all_equity_plot_df = pd.concat(all_curves, ignore_index=True)\n",
+    "fig = px.line(\n",
+    "    all_equity_plot_df,\n",
+    "    x='timestamp',\n",
+    "    y='relative_equity',\n",
+    "    color='ID',\n",
+    "    log_y=True,\n",
+    "    title='All 31 compared equity curves \u2014 normalised to initial equity (log scale)',\n",
+    "    hover_data={'equity': ':,.2f', 'relative_equity': ':.2f'},\n",
+    ")\n",
+    "fig.update_traces(opacity=0.72)\n",
+    "fig.update_layout(legend_title_text='Method ID')\n",
+    "fig.show()\n",
+    "\n",
+    "# Use complete 90-observation windows on the daily backtest return series.\n",
+    "rolling_sharpe_window_days = 90\n",
+    "annualisation_factor = math.sqrt(365.0)\n",
+    "rolling_sharpe_frames = []\n",
+    "rolling_sharpe_metric_rows = []\n",
+    "\n",
+    "for source_id, curve in sorted(trial_equity_curves.items()):\n",
+    "    daily_returns = calculate_returns(curve).resample('1D').sum(min_count=1).fillna(0.0)\n",
+    "    rolling_mean = daily_returns.rolling(rolling_sharpe_window_days, min_periods=rolling_sharpe_window_days).mean()\n",
+    "    rolling_volatility = daily_returns.rolling(rolling_sharpe_window_days, min_periods=rolling_sharpe_window_days).std()\n",
+    "    rolling_sharpe = annualisation_factor * rolling_mean / rolling_volatility.replace(0.0, float('nan'))\n",
+    "    \n",
+    "    rolling_sharpe_metric_rows.append({\n",
+    "        'ID': source_id,\n",
+    "        '90d rolling Sharpe min': float(rolling_sharpe.min()),\n",
+    "        '90d rolling Sharpe mean': float(rolling_sharpe.mean()),\n",
+    "        '90d rolling Sharpe max': float(rolling_sharpe.max()),\n",
+    "    })\n",
+    "    \n",
+    "    rolling_sharpe_frames.append(\n",
+    "        rolling_sharpe.rename('rolling_sharpe').rename_axis('timestamp').reset_index().assign(ID=source_id)\n",
+    "    )\n",
+    "\n",
+    "rolling_sharpe_metrics_df = pd.DataFrame(rolling_sharpe_metric_rows)\n",
+    "all_rolling_sharpe_plot_df = pd.concat(rolling_sharpe_frames, ignore_index=True).dropna(subset=['rolling_sharpe'])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a5fdc91",
+   "metadata": {},
+   "source": [
+    "## Performance metrics and rolling Sharpe comparison\n",
+    "\n",
+    "Compare each method using full-period and clean extension-holdout figures. The holdout begins after the common historical research cut-off and is the primary comparison; all figures derive from the shared-universe runs above. The cluster maps use deterministic three-cluster K-means on the displayed full-period metric pair."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "f865b0b8",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:06:00.291003Z",
+     "iopub.status.busy": "2026-07-23T07:06:00.290863Z",
+     "iopub.status.idle": "2026-07-23T07:06:10.197337Z",
+     "shell.execute_reply": "2026-07-23T07:06:10.196637Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "</style>\n",
+       "<table id=\"T_1b7fd\">\n",
+       "  <caption>All successful methods \u2014 full-period and clean extension holdout performance metrics</caption>\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_1b7fd_level0_col0\" class=\"col_heading level0 col0\" >ID</th>\n",
+       "      <th id=\"T_1b7fd_level0_col1\" class=\"col_heading level0 col1\" >Method</th>\n",
+       "      <th id=\"T_1b7fd_level0_col2\" class=\"col_heading level0 col2\" >Family</th>\n",
+       "      <th id=\"T_1b7fd_level0_col3\" class=\"col_heading level0 col3\" >Provenance</th>\n",
+       "      <th id=\"T_1b7fd_level0_col4\" class=\"col_heading level0 col4\" >Full CAGR</th>\n",
+       "      <th id=\"T_1b7fd_level0_col5\" class=\"col_heading level0 col5\" >Full Sharpe</th>\n",
+       "      <th id=\"T_1b7fd_level0_col6\" class=\"col_heading level0 col6\" >Full Sortino</th>\n",
+       "      <th id=\"T_1b7fd_level0_col7\" class=\"col_heading level0 col7\" >Full Calmar</th>\n",
+       "      <th id=\"T_1b7fd_level0_col8\" class=\"col_heading level0 col8\" >Full Max DD</th>\n",
+       "      <th id=\"T_1b7fd_level0_col9\" class=\"col_heading level0 col9\" >90d rolling Sharpe min</th>\n",
+       "      <th id=\"T_1b7fd_level0_col10\" class=\"col_heading level0 col10\" >90d rolling Sharpe mean</th>\n",
+       "      <th id=\"T_1b7fd_level0_col11\" class=\"col_heading level0 col11\" >90d rolling Sharpe max</th>\n",
+       "      <th id=\"T_1b7fd_level0_col12\" class=\"col_heading level0 col12\" >Holdout CAGR</th>\n",
+       "      <th id=\"T_1b7fd_level0_col13\" class=\"col_heading level0 col13\" >Holdout Sharpe</th>\n",
+       "      <th id=\"T_1b7fd_level0_col14\" class=\"col_heading level0 col14\" >Holdout Sortino</th>\n",
+       "      <th id=\"T_1b7fd_level0_col15\" class=\"col_heading level0 col15\" >Holdout Calmar</th>\n",
+       "      <th id=\"T_1b7fd_level0_col16\" class=\"col_heading level0 col16\" >Holdout Max DD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row0\" class=\"row_heading level0 row0\" >5</th>\n",
+       "      <td id=\"T_1b7fd_row0_col0\" class=\"data row0 col0\" >NB128</td>\n",
+       "      <td id=\"T_1b7fd_row0_col1\" class=\"data row0 col1\" >Correlation-cluster equal weight</td>\n",
+       "      <td id=\"T_1b7fd_row0_col2\" class=\"data row0 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row0_col3\" class=\"data row0 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row0_col4\" class=\"data row0 col4\" >119.65%</td>\n",
+       "      <td id=\"T_1b7fd_row0_col5\" class=\"data row0 col5\" >1.76</td>\n",
+       "      <td id=\"T_1b7fd_row0_col6\" class=\"data row0 col6\" >2.93</td>\n",
+       "      <td id=\"T_1b7fd_row0_col7\" class=\"data row0 col7\" >4.48</td>\n",
+       "      <td id=\"T_1b7fd_row0_col8\" class=\"data row0 col8\" >-26.72%</td>\n",
+       "      <td id=\"T_1b7fd_row0_col9\" class=\"data row0 col9\" >-0.49</td>\n",
+       "      <td id=\"T_1b7fd_row0_col10\" class=\"data row0 col10\" >1.88</td>\n",
+       "      <td id=\"T_1b7fd_row0_col11\" class=\"data row0 col11\" >5.22</td>\n",
+       "      <td id=\"T_1b7fd_row0_col12\" class=\"data row0 col12\" >45.72%</td>\n",
+       "      <td id=\"T_1b7fd_row0_col13\" class=\"data row0 col13\" >0.90</td>\n",
+       "      <td id=\"T_1b7fd_row0_col14\" class=\"data row0 col14\" >1.46</td>\n",
+       "      <td id=\"T_1b7fd_row0_col15\" class=\"data row0 col15\" >1.71</td>\n",
+       "      <td id=\"T_1b7fd_row0_col16\" class=\"data row0 col16\" >-26.72%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row1\" class=\"row_heading level0 row1\" >2</th>\n",
+       "      <td id=\"T_1b7fd_row1_col0\" class=\"data row1 col0\" >NB60</td>\n",
+       "      <td id=\"T_1b7fd_row1_col1\" class=\"data row1 col1\" >Bayesian credibility weighting</td>\n",
+       "      <td id=\"T_1b7fd_row1_col2\" class=\"data row1 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row1_col3\" class=\"data row1 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row1_col4\" class=\"data row1 col4\" >77.11%</td>\n",
+       "      <td id=\"T_1b7fd_row1_col5\" class=\"data row1 col5\" >1.35</td>\n",
+       "      <td id=\"T_1b7fd_row1_col6\" class=\"data row1 col6\" >2.11</td>\n",
+       "      <td id=\"T_1b7fd_row1_col7\" class=\"data row1 col7\" >2.09</td>\n",
+       "      <td id=\"T_1b7fd_row1_col8\" class=\"data row1 col8\" >-36.83%</td>\n",
+       "      <td id=\"T_1b7fd_row1_col9\" class=\"data row1 col9\" >-0.98</td>\n",
+       "      <td id=\"T_1b7fd_row1_col10\" class=\"data row1 col10\" >1.53</td>\n",
+       "      <td id=\"T_1b7fd_row1_col11\" class=\"data row1 col11\" >4.87</td>\n",
+       "      <td id=\"T_1b7fd_row1_col12\" class=\"data row1 col12\" >76.46%</td>\n",
+       "      <td id=\"T_1b7fd_row1_col13\" class=\"data row1 col13\" >1.24</td>\n",
+       "      <td id=\"T_1b7fd_row1_col14\" class=\"data row1 col14\" >1.95</td>\n",
+       "      <td id=\"T_1b7fd_row1_col15\" class=\"data row1 col15\" >4.77</td>\n",
+       "      <td id=\"T_1b7fd_row1_col16\" class=\"data row1 col16\" >-16.01%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row2\" class=\"row_heading level0 row2\" >12</th>\n",
+       "      <td id=\"T_1b7fd_row2_col0\" class=\"data row2 col0\" >NB66</td>\n",
+       "      <td id=\"T_1b7fd_row2_col1\" class=\"data row2 col1\" >Dual-signal gate and weight</td>\n",
+       "      <td id=\"T_1b7fd_row2_col2\" class=\"data row2 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row2_col3\" class=\"data row2 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row2_col4\" class=\"data row2 col4\" >70.87%</td>\n",
+       "      <td id=\"T_1b7fd_row2_col5\" class=\"data row2 col5\" >1.33</td>\n",
+       "      <td id=\"T_1b7fd_row2_col6\" class=\"data row2 col6\" >2.15</td>\n",
+       "      <td id=\"T_1b7fd_row2_col7\" class=\"data row2 col7\" >2.93</td>\n",
+       "      <td id=\"T_1b7fd_row2_col8\" class=\"data row2 col8\" >-24.22%</td>\n",
+       "      <td id=\"T_1b7fd_row2_col9\" class=\"data row2 col9\" >-1.29</td>\n",
+       "      <td id=\"T_1b7fd_row2_col10\" class=\"data row2 col10\" >1.53</td>\n",
+       "      <td id=\"T_1b7fd_row2_col11\" class=\"data row2 col11\" >4.75</td>\n",
+       "      <td id=\"T_1b7fd_row2_col12\" class=\"data row2 col12\" >15.24%</td>\n",
+       "      <td id=\"T_1b7fd_row2_col13\" class=\"data row2 col13\" >0.53</td>\n",
+       "      <td id=\"T_1b7fd_row2_col14\" class=\"data row2 col14\" >0.77</td>\n",
+       "      <td id=\"T_1b7fd_row2_col15\" class=\"data row2 col15\" >0.83</td>\n",
+       "      <td id=\"T_1b7fd_row2_col16\" class=\"data row2 col16\" >-18.41%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row3\" class=\"row_heading level0 row3\" >7</th>\n",
+       "      <td id=\"T_1b7fd_row3_col0\" class=\"data row3 col0\" >NB68</td>\n",
+       "      <td id=\"T_1b7fd_row3_col1\" class=\"data row3 col1\" >Bayesian gate with equal weight</td>\n",
+       "      <td id=\"T_1b7fd_row3_col2\" class=\"data row3 col2\" >selector</td>\n",
+       "      <td id=\"T_1b7fd_row3_col3\" class=\"data row3 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row3_col4\" class=\"data row3 col4\" >69.26%</td>\n",
+       "      <td id=\"T_1b7fd_row3_col5\" class=\"data row3 col5\" >1.28</td>\n",
+       "      <td id=\"T_1b7fd_row3_col6\" class=\"data row3 col6\" >1.95</td>\n",
+       "      <td id=\"T_1b7fd_row3_col7\" class=\"data row3 col7\" >1.97</td>\n",
+       "      <td id=\"T_1b7fd_row3_col8\" class=\"data row3 col8\" >-35.24%</td>\n",
+       "      <td id=\"T_1b7fd_row3_col9\" class=\"data row3 col9\" >-0.97</td>\n",
+       "      <td id=\"T_1b7fd_row3_col10\" class=\"data row3 col10\" >1.49</td>\n",
+       "      <td id=\"T_1b7fd_row3_col11\" class=\"data row3 col11\" >4.58</td>\n",
+       "      <td id=\"T_1b7fd_row3_col12\" class=\"data row3 col12\" >42.48%</td>\n",
+       "      <td id=\"T_1b7fd_row3_col13\" class=\"data row3 col13\" >0.88</td>\n",
+       "      <td id=\"T_1b7fd_row3_col14\" class=\"data row3 col14\" >1.32</td>\n",
+       "      <td id=\"T_1b7fd_row3_col15\" class=\"data row3 col15\" >2.43</td>\n",
+       "      <td id=\"T_1b7fd_row3_col16\" class=\"data row3 col16\" >-17.51%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row4\" class=\"row_heading level0 row4\" >8</th>\n",
+       "      <td id=\"T_1b7fd_row4_col0\" class=\"data row4 col0\" >NB54</td>\n",
+       "      <td id=\"T_1b7fd_row4_col1\" class=\"data row4 col1\" >PSR concentration</td>\n",
+       "      <td id=\"T_1b7fd_row4_col2\" class=\"data row4 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row4_col3\" class=\"data row4 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row4_col4\" class=\"data row4 col4\" >69.22%</td>\n",
+       "      <td id=\"T_1b7fd_row4_col5\" class=\"data row4 col5\" >1.32</td>\n",
+       "      <td id=\"T_1b7fd_row4_col6\" class=\"data row4 col6\" >2.25</td>\n",
+       "      <td id=\"T_1b7fd_row4_col7\" class=\"data row4 col7\" >3.79</td>\n",
+       "      <td id=\"T_1b7fd_row4_col8\" class=\"data row4 col8\" >-18.27%</td>\n",
+       "      <td id=\"T_1b7fd_row4_col9\" class=\"data row4 col9\" >-0.26</td>\n",
+       "      <td id=\"T_1b7fd_row4_col10\" class=\"data row4 col10\" >1.45</td>\n",
+       "      <td id=\"T_1b7fd_row4_col11\" class=\"data row4 col11\" >3.59</td>\n",
+       "      <td id=\"T_1b7fd_row4_col12\" class=\"data row4 col12\" >35.64%</td>\n",
+       "      <td id=\"T_1b7fd_row4_col13\" class=\"data row4 col13\" >0.81</td>\n",
+       "      <td id=\"T_1b7fd_row4_col14\" class=\"data row4 col14\" >1.33</td>\n",
+       "      <td id=\"T_1b7fd_row4_col15\" class=\"data row4 col15\" >2.38</td>\n",
+       "      <td id=\"T_1b7fd_row4_col16\" class=\"data row4 col16\" >-14.98%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row5\" class=\"row_heading level0 row5\" >14</th>\n",
+       "      <td id=\"T_1b7fd_row5_col0\" class=\"data row5 col0\" >NB45</td>\n",
+       "      <td id=\"T_1b7fd_row5_col1\" class=\"data row5 col1\" >Calmar-signal allocation</td>\n",
+       "      <td id=\"T_1b7fd_row5_col2\" class=\"data row5 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row5_col3\" class=\"data row5 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row5_col4\" class=\"data row5 col4\" >60.97%</td>\n",
+       "      <td id=\"T_1b7fd_row5_col5\" class=\"data row5 col5\" >1.18</td>\n",
+       "      <td id=\"T_1b7fd_row5_col6\" class=\"data row5 col6\" >2.04</td>\n",
+       "      <td id=\"T_1b7fd_row5_col7\" class=\"data row5 col7\" >3.14</td>\n",
+       "      <td id=\"T_1b7fd_row5_col8\" class=\"data row5 col8\" >-19.41%</td>\n",
+       "      <td id=\"T_1b7fd_row5_col9\" class=\"data row5 col9\" >-0.89</td>\n",
+       "      <td id=\"T_1b7fd_row5_col10\" class=\"data row5 col10\" >1.35</td>\n",
+       "      <td id=\"T_1b7fd_row5_col11\" class=\"data row5 col11\" >3.72</td>\n",
+       "      <td id=\"T_1b7fd_row5_col12\" class=\"data row5 col12\" >6.01%</td>\n",
+       "      <td id=\"T_1b7fd_row5_col13\" class=\"data row5 col13\" >0.38</td>\n",
+       "      <td id=\"T_1b7fd_row5_col14\" class=\"data row5 col14\" >0.60</td>\n",
+       "      <td id=\"T_1b7fd_row5_col15\" class=\"data row5 col15\" >0.31</td>\n",
+       "      <td id=\"T_1b7fd_row5_col16\" class=\"data row5 col16\" >-19.41%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row6\" class=\"row_heading level0 row6\" >9</th>\n",
+       "      <td id=\"T_1b7fd_row6_col0\" class=\"data row6 col0\" >NB27</td>\n",
+       "      <td id=\"T_1b7fd_row6_col1\" class=\"data row6 col1\" >Sharpe-based weighting</td>\n",
+       "      <td id=\"T_1b7fd_row6_col2\" class=\"data row6 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row6_col3\" class=\"data row6 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row6_col4\" class=\"data row6 col4\" >53.17%</td>\n",
+       "      <td id=\"T_1b7fd_row6_col5\" class=\"data row6 col5\" >1.20</td>\n",
+       "      <td id=\"T_1b7fd_row6_col6\" class=\"data row6 col6\" >2.06</td>\n",
+       "      <td id=\"T_1b7fd_row6_col7\" class=\"data row6 col7\" >3.31</td>\n",
+       "      <td id=\"T_1b7fd_row6_col8\" class=\"data row6 col8\" >-16.05%</td>\n",
+       "      <td id=\"T_1b7fd_row6_col9\" class=\"data row6 col9\" >-0.48</td>\n",
+       "      <td id=\"T_1b7fd_row6_col10\" class=\"data row6 col10\" >1.35</td>\n",
+       "      <td id=\"T_1b7fd_row6_col11\" class=\"data row6 col11\" >3.51</td>\n",
+       "      <td id=\"T_1b7fd_row6_col12\" class=\"data row6 col12\" >28.87%</td>\n",
+       "      <td id=\"T_1b7fd_row6_col13\" class=\"data row6 col13\" >0.75</td>\n",
+       "      <td id=\"T_1b7fd_row6_col14\" class=\"data row6 col14\" >1.23</td>\n",
+       "      <td id=\"T_1b7fd_row6_col15\" class=\"data row6 col15\" >1.80</td>\n",
+       "      <td id=\"T_1b7fd_row6_col16\" class=\"data row6 col16\" >-16.05%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row7\" class=\"row_heading level0 row7\" >26</th>\n",
+       "      <td id=\"T_1b7fd_row7_col0\" class=\"data row7 col0\" >NB71</td>\n",
+       "      <td id=\"T_1b7fd_row7_col1\" class=\"data row7 col1\" >Rank-composite selection</td>\n",
+       "      <td id=\"T_1b7fd_row7_col2\" class=\"data row7 col2\" >selector</td>\n",
+       "      <td id=\"T_1b7fd_row7_col3\" class=\"data row7 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row7_col4\" class=\"data row7 col4\" >53.04%</td>\n",
+       "      <td id=\"T_1b7fd_row7_col5\" class=\"data row7 col5\" >1.25</td>\n",
+       "      <td id=\"T_1b7fd_row7_col6\" class=\"data row7 col6\" >2.12</td>\n",
+       "      <td id=\"T_1b7fd_row7_col7\" class=\"data row7 col7\" >2.50</td>\n",
+       "      <td id=\"T_1b7fd_row7_col8\" class=\"data row7 col8\" >-21.21%</td>\n",
+       "      <td id=\"T_1b7fd_row7_col9\" class=\"data row7 col9\" >-0.34</td>\n",
+       "      <td id=\"T_1b7fd_row7_col10\" class=\"data row7 col10\" >1.62</td>\n",
+       "      <td id=\"T_1b7fd_row7_col11\" class=\"data row7 col11\" >4.04</td>\n",
+       "      <td id=\"T_1b7fd_row7_col12\" class=\"data row7 col12\" >-9.39%</td>\n",
+       "      <td id=\"T_1b7fd_row7_col13\" class=\"data row7 col13\" >-0.02</td>\n",
+       "      <td id=\"T_1b7fd_row7_col14\" class=\"data row7 col14\" >-0.03</td>\n",
+       "      <td id=\"T_1b7fd_row7_col15\" class=\"data row7 col15\" >-0.44</td>\n",
+       "      <td id=\"T_1b7fd_row7_col16\" class=\"data row7 col16\" >-21.21%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row8\" class=\"row_heading level0 row8\" >6</th>\n",
+       "      <td id=\"T_1b7fd_row8_col0\" class=\"data row8 col0\" >NB63</td>\n",
+       "      <td id=\"T_1b7fd_row8_col1\" class=\"data row8 col1\" >Softmax allocation</td>\n",
+       "      <td id=\"T_1b7fd_row8_col2\" class=\"data row8 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row8_col3\" class=\"data row8 col3\" >approximation</td>\n",
+       "      <td id=\"T_1b7fd_row8_col4\" class=\"data row8 col4\" >50.71%</td>\n",
+       "      <td id=\"T_1b7fd_row8_col5\" class=\"data row8 col5\" >1.19</td>\n",
+       "      <td id=\"T_1b7fd_row8_col6\" class=\"data row8 col6\" >2.03</td>\n",
+       "      <td id=\"T_1b7fd_row8_col7\" class=\"data row8 col7\" >3.25</td>\n",
+       "      <td id=\"T_1b7fd_row8_col8\" class=\"data row8 col8\" >-15.63%</td>\n",
+       "      <td id=\"T_1b7fd_row8_col9\" class=\"data row8 col9\" >-0.32</td>\n",
+       "      <td id=\"T_1b7fd_row8_col10\" class=\"data row8 col10\" >1.37</td>\n",
+       "      <td id=\"T_1b7fd_row8_col11\" class=\"data row8 col11\" >3.87</td>\n",
+       "      <td id=\"T_1b7fd_row8_col12\" class=\"data row8 col12\" >39.07%</td>\n",
+       "      <td id=\"T_1b7fd_row8_col13\" class=\"data row8 col13\" >0.90</td>\n",
+       "      <td id=\"T_1b7fd_row8_col14\" class=\"data row8 col14\" >1.49</td>\n",
+       "      <td id=\"T_1b7fd_row8_col15\" class=\"data row8 col15\" >2.62</td>\n",
+       "      <td id=\"T_1b7fd_row8_col16\" class=\"data row8 col16\" >-14.93%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row9\" class=\"row_heading level0 row9\" >27</th>\n",
+       "      <td id=\"T_1b7fd_row9_col0\" class=\"data row9 col0\" >NB59</td>\n",
+       "      <td id=\"T_1b7fd_row9_col1\" class=\"data row9 col1\" >Linear PSR gate</td>\n",
+       "      <td id=\"T_1b7fd_row9_col2\" class=\"data row9 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row9_col3\" class=\"data row9 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row9_col4\" class=\"data row9 col4\" >48.68%</td>\n",
+       "      <td id=\"T_1b7fd_row9_col5\" class=\"data row9 col5\" >1.11</td>\n",
+       "      <td id=\"T_1b7fd_row9_col6\" class=\"data row9 col6\" >1.84</td>\n",
+       "      <td id=\"T_1b7fd_row9_col7\" class=\"data row9 col7\" >2.86</td>\n",
+       "      <td id=\"T_1b7fd_row9_col8\" class=\"data row9 col8\" >-17.00%</td>\n",
+       "      <td id=\"T_1b7fd_row9_col9\" class=\"data row9 col9\" >-0.34</td>\n",
+       "      <td id=\"T_1b7fd_row9_col10\" class=\"data row9 col10\" >1.41</td>\n",
+       "      <td id=\"T_1b7fd_row9_col11\" class=\"data row9 col11\" >3.89</td>\n",
+       "      <td id=\"T_1b7fd_row9_col12\" class=\"data row9 col12\" >-12.77%</td>\n",
+       "      <td id=\"T_1b7fd_row9_col13\" class=\"data row9 col13\" >-0.03</td>\n",
+       "      <td id=\"T_1b7fd_row9_col14\" class=\"data row9 col14\" >-0.05</td>\n",
+       "      <td id=\"T_1b7fd_row9_col15\" class=\"data row9 col15\" >-0.78</td>\n",
+       "      <td id=\"T_1b7fd_row9_col16\" class=\"data row9 col16\" >-16.34%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row10\" class=\"row_heading level0 row10\" >1</th>\n",
+       "      <td id=\"T_1b7fd_row10_col0\" class=\"data row10 col0\" >NB101</td>\n",
+       "      <td id=\"T_1b7fd_row10_col1\" class=\"data row10 col1\" >Age ramp with trend overlay</td>\n",
+       "      <td id=\"T_1b7fd_row10_col2\" class=\"data row10 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row10_col3\" class=\"data row10 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row10_col4\" class=\"data row10 col4\" >37.29%</td>\n",
+       "      <td id=\"T_1b7fd_row10_col5\" class=\"data row10 col5\" >0.94</td>\n",
+       "      <td id=\"T_1b7fd_row10_col6\" class=\"data row10 col6\" >1.68</td>\n",
+       "      <td id=\"T_1b7fd_row10_col7\" class=\"data row10 col7\" >1.00</td>\n",
+       "      <td id=\"T_1b7fd_row10_col8\" class=\"data row10 col8\" >-37.12%</td>\n",
+       "      <td id=\"T_1b7fd_row10_col9\" class=\"data row10 col9\" >-4.26</td>\n",
+       "      <td id=\"T_1b7fd_row10_col10\" class=\"data row10 col10\" >0.51</td>\n",
+       "      <td id=\"T_1b7fd_row10_col11\" class=\"data row10 col11\" >3.31</td>\n",
+       "      <td id=\"T_1b7fd_row10_col12\" class=\"data row10 col12\" >99.17%</td>\n",
+       "      <td id=\"T_1b7fd_row10_col13\" class=\"data row10 col13\" >2.07</td>\n",
+       "      <td id=\"T_1b7fd_row10_col14\" class=\"data row10 col14\" >4.12</td>\n",
+       "      <td id=\"T_1b7fd_row10_col15\" class=\"data row10 col15\" >5.63</td>\n",
+       "      <td id=\"T_1b7fd_row10_col16\" class=\"data row10 col16\" >-17.62%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row11\" class=\"row_heading level0 row11\" >13</th>\n",
+       "      <td id=\"T_1b7fd_row11_col0\" class=\"data row11 col0\" >NB26</td>\n",
+       "      <td id=\"T_1b7fd_row11_col1\" class=\"data row11 col1\" >Sortino-based weighting</td>\n",
+       "      <td id=\"T_1b7fd_row11_col2\" class=\"data row11 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row11_col3\" class=\"data row11 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row11_col4\" class=\"data row11 col4\" >35.73%</td>\n",
+       "      <td id=\"T_1b7fd_row11_col5\" class=\"data row11 col5\" >0.90</td>\n",
+       "      <td id=\"T_1b7fd_row11_col6\" class=\"data row11 col6\" >1.49</td>\n",
+       "      <td id=\"T_1b7fd_row11_col7\" class=\"data row11 col7\" >1.85</td>\n",
+       "      <td id=\"T_1b7fd_row11_col8\" class=\"data row11 col8\" >-19.28%</td>\n",
+       "      <td id=\"T_1b7fd_row11_col9\" class=\"data row11 col9\" >-0.75</td>\n",
+       "      <td id=\"T_1b7fd_row11_col10\" class=\"data row11 col10\" >1.05</td>\n",
+       "      <td id=\"T_1b7fd_row11_col11\" class=\"data row11 col11\" >3.12</td>\n",
+       "      <td id=\"T_1b7fd_row11_col12\" class=\"data row11 col12\" >7.81%</td>\n",
+       "      <td id=\"T_1b7fd_row11_col13\" class=\"data row11 col13\" >0.39</td>\n",
+       "      <td id=\"T_1b7fd_row11_col14\" class=\"data row11 col14\" >0.60</td>\n",
+       "      <td id=\"T_1b7fd_row11_col15\" class=\"data row11 col15\" >0.40</td>\n",
+       "      <td id=\"T_1b7fd_row11_col16\" class=\"data row11 col16\" >-19.28%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row12\" class=\"row_heading level0 row12\" >29</th>\n",
+       "      <td id=\"T_1b7fd_row12_col0\" class=\"data row12 col0\" >NB64</td>\n",
+       "      <td id=\"T_1b7fd_row12_col1\" class=\"data row12 col1\" >Threshold-linear allocation</td>\n",
+       "      <td id=\"T_1b7fd_row12_col2\" class=\"data row12 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row12_col3\" class=\"data row12 col3\" >approximation</td>\n",
+       "      <td id=\"T_1b7fd_row12_col4\" class=\"data row12 col4\" >28.91%</td>\n",
+       "      <td id=\"T_1b7fd_row12_col5\" class=\"data row12 col5\" >0.77</td>\n",
+       "      <td id=\"T_1b7fd_row12_col6\" class=\"data row12 col6\" >1.22</td>\n",
+       "      <td id=\"T_1b7fd_row12_col7\" class=\"data row12 col7\" >1.22</td>\n",
+       "      <td id=\"T_1b7fd_row12_col8\" class=\"data row12 col8\" >-23.68%</td>\n",
+       "      <td id=\"T_1b7fd_row12_col9\" class=\"data row12 col9\" >-1.22</td>\n",
+       "      <td id=\"T_1b7fd_row12_col10\" class=\"data row12 col10\" >1.02</td>\n",
+       "      <td id=\"T_1b7fd_row12_col11\" class=\"data row12 col11\" >3.97</td>\n",
+       "      <td id=\"T_1b7fd_row12_col12\" class=\"data row12 col12\" >-35.03%</td>\n",
+       "      <td id=\"T_1b7fd_row12_col13\" class=\"data row12 col13\" >-0.46</td>\n",
+       "      <td id=\"T_1b7fd_row12_col14\" class=\"data row12 col14\" >-0.65</td>\n",
+       "      <td id=\"T_1b7fd_row12_col15\" class=\"data row12 col15\" >-1.54</td>\n",
+       "      <td id=\"T_1b7fd_row12_col16\" class=\"data row12 col16\" >-22.77%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row13\" class=\"row_heading level0 row13\" >16</th>\n",
+       "      <td id=\"T_1b7fd_row13_col0\" class=\"data row13 col0\" >NB116</td>\n",
+       "      <td id=\"T_1b7fd_row13_col1\" class=\"data row13 col1\" >Sharpe-optimised age buckets</td>\n",
+       "      <td id=\"T_1b7fd_row13_col2\" class=\"data row13 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row13_col3\" class=\"data row13 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row13_col4\" class=\"data row13 col4\" >27.69%</td>\n",
+       "      <td id=\"T_1b7fd_row13_col5\" class=\"data row13 col5\" >0.70</td>\n",
+       "      <td id=\"T_1b7fd_row13_col6\" class=\"data row13 col6\" >1.06</td>\n",
+       "      <td id=\"T_1b7fd_row13_col7\" class=\"data row13 col7\" >0.90</td>\n",
+       "      <td id=\"T_1b7fd_row13_col8\" class=\"data row13 col8\" >-30.71%</td>\n",
+       "      <td id=\"T_1b7fd_row13_col9\" class=\"data row13 col9\" >-1.05</td>\n",
+       "      <td id=\"T_1b7fd_row13_col10\" class=\"data row13 col10\" >0.65</td>\n",
+       "      <td id=\"T_1b7fd_row13_col11\" class=\"data row13 col11\" >3.22</td>\n",
+       "      <td id=\"T_1b7fd_row13_col12\" class=\"data row13 col12\" >-4.97%</td>\n",
+       "      <td id=\"T_1b7fd_row13_col13\" class=\"data row13 col13\" >0.30</td>\n",
+       "      <td id=\"T_1b7fd_row13_col14\" class=\"data row13 col14\" >0.40</td>\n",
+       "      <td id=\"T_1b7fd_row13_col15\" class=\"data row13 col15\" >-0.16</td>\n",
+       "      <td id=\"T_1b7fd_row13_col16\" class=\"data row13 col16\" >-30.71%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row14\" class=\"row_heading level0 row14\" >4</th>\n",
+       "      <td id=\"T_1b7fd_row14_col0\" class=\"data row14 col0\" >NB102</td>\n",
+       "      <td id=\"T_1b7fd_row14_col1\" class=\"data row14 col1\" >Age-bucket equal weight</td>\n",
+       "      <td id=\"T_1b7fd_row14_col2\" class=\"data row14 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row14_col3\" class=\"data row14 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row14_col4\" class=\"data row14 col4\" >25.46%</td>\n",
+       "      <td id=\"T_1b7fd_row14_col5\" class=\"data row14 col5\" >0.67</td>\n",
+       "      <td id=\"T_1b7fd_row14_col6\" class=\"data row14 col6\" >1.07</td>\n",
+       "      <td id=\"T_1b7fd_row14_col7\" class=\"data row14 col7\" >0.85</td>\n",
+       "      <td id=\"T_1b7fd_row14_col8\" class=\"data row14 col8\" >-30.01%</td>\n",
+       "      <td id=\"T_1b7fd_row14_col9\" class=\"data row14 col9\" >-2.44</td>\n",
+       "      <td id=\"T_1b7fd_row14_col10\" class=\"data row14 col10\" >0.45</td>\n",
+       "      <td id=\"T_1b7fd_row14_col11\" class=\"data row14 col11\" >3.40</td>\n",
+       "      <td id=\"T_1b7fd_row14_col12\" class=\"data row14 col12\" >70.72%</td>\n",
+       "      <td id=\"T_1b7fd_row14_col13\" class=\"data row14 col13\" >1.05</td>\n",
+       "      <td id=\"T_1b7fd_row14_col14\" class=\"data row14 col14\" >1.73</td>\n",
+       "      <td id=\"T_1b7fd_row14_col15\" class=\"data row14 col15\" >2.89</td>\n",
+       "      <td id=\"T_1b7fd_row14_col16\" class=\"data row14 col16\" >-24.51%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row15\" class=\"row_heading level0 row15\" >3</th>\n",
+       "      <td id=\"T_1b7fd_row15_col0\" class=\"data row15 col0\" >NB28</td>\n",
+       "      <td id=\"T_1b7fd_row15_col1\" class=\"data row15 col1\" >Diversified waterfall</td>\n",
+       "      <td id=\"T_1b7fd_row15_col2\" class=\"data row15 col2\" >allocator</td>\n",
+       "      <td id=\"T_1b7fd_row15_col3\" class=\"data row15 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row15_col4\" class=\"data row15 col4\" >24.90%</td>\n",
+       "      <td id=\"T_1b7fd_row15_col5\" class=\"data row15 col5\" >0.94</td>\n",
+       "      <td id=\"T_1b7fd_row15_col6\" class=\"data row15 col6\" >1.64</td>\n",
+       "      <td id=\"T_1b7fd_row15_col7\" class=\"data row15 col7\" >1.15</td>\n",
+       "      <td id=\"T_1b7fd_row15_col8\" class=\"data row15 col8\" >-21.61%</td>\n",
+       "      <td id=\"T_1b7fd_row15_col9\" class=\"data row15 col9\" >-2.22</td>\n",
+       "      <td id=\"T_1b7fd_row15_col10\" class=\"data row15 col10\" >0.38</td>\n",
+       "      <td id=\"T_1b7fd_row15_col11\" class=\"data row15 col11\" >2.95</td>\n",
+       "      <td id=\"T_1b7fd_row15_col12\" class=\"data row15 col12\" >55.89%</td>\n",
+       "      <td id=\"T_1b7fd_row15_col13\" class=\"data row15 col13\" >1.22</td>\n",
+       "      <td id=\"T_1b7fd_row15_col14\" class=\"data row15 col14\" >2.14</td>\n",
+       "      <td id=\"T_1b7fd_row15_col15\" class=\"data row15 col15\" >2.59</td>\n",
+       "      <td id=\"T_1b7fd_row15_col16\" class=\"data row15 col16\" >-21.61%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row16\" class=\"row_heading level0 row16\" >10</th>\n",
+       "      <td id=\"T_1b7fd_row16_col0\" class=\"data row16 col0\" >NB93</td>\n",
+       "      <td id=\"T_1b7fd_row16_col1\" class=\"data row16 col1\" >Age-TVL soft prior</td>\n",
+       "      <td id=\"T_1b7fd_row16_col2\" class=\"data row16 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row16_col3\" class=\"data row16 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row16_col4\" class=\"data row16 col4\" >14.98%</td>\n",
+       "      <td id=\"T_1b7fd_row16_col5\" class=\"data row16 col5\" >0.53</td>\n",
+       "      <td id=\"T_1b7fd_row16_col6\" class=\"data row16 col6\" >0.88</td>\n",
+       "      <td id=\"T_1b7fd_row16_col7\" class=\"data row16 col7\" >0.45</td>\n",
+       "      <td id=\"T_1b7fd_row16_col8\" class=\"data row16 col8\" >-33.54%</td>\n",
+       "      <td id=\"T_1b7fd_row16_col9\" class=\"data row16 col9\" >-3.70</td>\n",
+       "      <td id=\"T_1b7fd_row16_col10\" class=\"data row16 col10\" >0.25</td>\n",
+       "      <td id=\"T_1b7fd_row16_col11\" class=\"data row16 col11\" >2.43</td>\n",
+       "      <td id=\"T_1b7fd_row16_col12\" class=\"data row16 col12\" >24.13%</td>\n",
+       "      <td id=\"T_1b7fd_row16_col13\" class=\"data row16 col13\" >0.69</td>\n",
+       "      <td id=\"T_1b7fd_row16_col14\" class=\"data row16 col14\" >1.15</td>\n",
+       "      <td id=\"T_1b7fd_row16_col15\" class=\"data row16 col15\" >1.37</td>\n",
+       "      <td id=\"T_1b7fd_row16_col16\" class=\"data row16 col16\" >-17.63%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row17\" class=\"row_heading level0 row17\" >0</th>\n",
+       "      <td id=\"T_1b7fd_row17_col0\" class=\"data row17 col0\" >NB29</td>\n",
+       "      <td id=\"T_1b7fd_row17_col1\" class=\"data row17 col1\" >Dynamic diversified waterfall</td>\n",
+       "      <td id=\"T_1b7fd_row17_col2\" class=\"data row17 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row17_col3\" class=\"data row17 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row17_col4\" class=\"data row17 col4\" >14.22%</td>\n",
+       "      <td id=\"T_1b7fd_row17_col5\" class=\"data row17 col5\" >1.20</td>\n",
+       "      <td id=\"T_1b7fd_row17_col6\" class=\"data row17 col6\" >1.89</td>\n",
+       "      <td id=\"T_1b7fd_row17_col7\" class=\"data row17 col7\" >1.47</td>\n",
+       "      <td id=\"T_1b7fd_row17_col8\" class=\"data row17 col8\" >-9.66%</td>\n",
+       "      <td id=\"T_1b7fd_row17_col9\" class=\"data row17 col9\" >-1.86</td>\n",
+       "      <td id=\"T_1b7fd_row17_col10\" class=\"data row17 col10\" >1.42</td>\n",
+       "      <td id=\"T_1b7fd_row17_col11\" class=\"data row17 col11\" >6.25</td>\n",
+       "      <td id=\"T_1b7fd_row17_col12\" class=\"data row17 col12\" >38.46%</td>\n",
+       "      <td id=\"T_1b7fd_row17_col13\" class=\"data row17 col13\" >3.38</td>\n",
+       "      <td id=\"T_1b7fd_row17_col14\" class=\"data row17 col14\" >5.12</td>\n",
+       "      <td id=\"T_1b7fd_row17_col15\" class=\"data row17 col15\" >10.52</td>\n",
+       "      <td id=\"T_1b7fd_row17_col16\" class=\"data row17 col16\" >-3.65%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row18\" class=\"row_heading level0 row18\" >11</th>\n",
+       "      <td id=\"T_1b7fd_row18_col0\" class=\"data row18 col0\" >NB22</td>\n",
+       "      <td id=\"T_1b7fd_row18_col1\" class=\"data row18 col1\" >Inverse-volatility weighting</td>\n",
+       "      <td id=\"T_1b7fd_row18_col2\" class=\"data row18 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row18_col3\" class=\"data row18 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row18_col4\" class=\"data row18 col4\" >10.73%</td>\n",
+       "      <td id=\"T_1b7fd_row18_col5\" class=\"data row18 col5\" >1.65</td>\n",
+       "      <td id=\"T_1b7fd_row18_col6\" class=\"data row18 col6\" >2.82</td>\n",
+       "      <td id=\"T_1b7fd_row18_col7\" class=\"data row18 col7\" >2.31</td>\n",
+       "      <td id=\"T_1b7fd_row18_col8\" class=\"data row18 col8\" >-4.64%</td>\n",
+       "      <td id=\"T_1b7fd_row18_col9\" class=\"data row18 col9\" >-1.75</td>\n",
+       "      <td id=\"T_1b7fd_row18_col10\" class=\"data row18 col10\" >1.27</td>\n",
+       "      <td id=\"T_1b7fd_row18_col11\" class=\"data row18 col11\" >4.77</td>\n",
+       "      <td id=\"T_1b7fd_row18_col12\" class=\"data row18 col12\" >1.16%</td>\n",
+       "      <td id=\"T_1b7fd_row18_col13\" class=\"data row18 col13\" >0.64</td>\n",
+       "      <td id=\"T_1b7fd_row18_col14\" class=\"data row18 col14\" >0.74</td>\n",
+       "      <td id=\"T_1b7fd_row18_col15\" class=\"data row18 col15\" >1.18</td>\n",
+       "      <td id=\"T_1b7fd_row18_col16\" class=\"data row18 col16\" >-0.98%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row19\" class=\"row_heading level0 row19\" >18</th>\n",
+       "      <td id=\"T_1b7fd_row19_col0\" class=\"data row19 col0\" >NB23b</td>\n",
+       "      <td id=\"T_1b7fd_row19_col1\" class=\"data row19 col1\" >Log-signal weighting</td>\n",
+       "      <td id=\"T_1b7fd_row19_col2\" class=\"data row19 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row19_col3\" class=\"data row19 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row19_col4\" class=\"data row19 col4\" >8.69%</td>\n",
+       "      <td id=\"T_1b7fd_row19_col5\" class=\"data row19 col5\" >0.40</td>\n",
+       "      <td id=\"T_1b7fd_row19_col6\" class=\"data row19 col6\" >0.67</td>\n",
+       "      <td id=\"T_1b7fd_row19_col7\" class=\"data row19 col7\" >0.26</td>\n",
+       "      <td id=\"T_1b7fd_row19_col8\" class=\"data row19 col8\" >-33.42%</td>\n",
+       "      <td id=\"T_1b7fd_row19_col9\" class=\"data row19 col9\" >-3.74</td>\n",
+       "      <td id=\"T_1b7fd_row19_col10\" class=\"data row19 col10\" >0.14</td>\n",
+       "      <td id=\"T_1b7fd_row19_col11\" class=\"data row19 col11\" >2.45</td>\n",
+       "      <td id=\"T_1b7fd_row19_col12\" class=\"data row19 col12\" >2.13%</td>\n",
+       "      <td id=\"T_1b7fd_row19_col13\" class=\"data row19 col13\" >0.28</td>\n",
+       "      <td id=\"T_1b7fd_row19_col14\" class=\"data row19 col14\" >0.48</td>\n",
+       "      <td id=\"T_1b7fd_row19_col15\" class=\"data row19 col15\" >0.11</td>\n",
+       "      <td id=\"T_1b7fd_row19_col16\" class=\"data row19 col16\" >-19.30%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row20\" class=\"row_heading level0 row20\" >17</th>\n",
+       "      <td id=\"T_1b7fd_row20_col0\" class=\"data row20 col0\" >NB88</td>\n",
+       "      <td id=\"T_1b7fd_row20_col1\" class=\"data row20 col1\" >Age-ramp weighting</td>\n",
+       "      <td id=\"T_1b7fd_row20_col2\" class=\"data row20 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row20_col3\" class=\"data row20 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row20_col4\" class=\"data row20 col4\" >8.10%</td>\n",
+       "      <td id=\"T_1b7fd_row20_col5\" class=\"data row20 col5\" >0.39</td>\n",
+       "      <td id=\"T_1b7fd_row20_col6\" class=\"data row20 col6\" >0.65</td>\n",
+       "      <td id=\"T_1b7fd_row20_col7\" class=\"data row20 col7\" >0.24</td>\n",
+       "      <td id=\"T_1b7fd_row20_col8\" class=\"data row20 col8\" >-33.54%</td>\n",
+       "      <td id=\"T_1b7fd_row20_col9\" class=\"data row20 col9\" >-3.70</td>\n",
+       "      <td id=\"T_1b7fd_row20_col10\" class=\"data row20 col10\" >0.12</td>\n",
+       "      <td id=\"T_1b7fd_row20_col11\" class=\"data row20 col11\" >2.43</td>\n",
+       "      <td id=\"T_1b7fd_row20_col12\" class=\"data row20 col12\" >2.51%</td>\n",
+       "      <td id=\"T_1b7fd_row20_col13\" class=\"data row20 col13\" >0.29</td>\n",
+       "      <td id=\"T_1b7fd_row20_col14\" class=\"data row20 col14\" >0.49</td>\n",
+       "      <td id=\"T_1b7fd_row20_col15\" class=\"data row20 col15\" >0.13</td>\n",
+       "      <td id=\"T_1b7fd_row20_col16\" class=\"data row20 col16\" >-19.33%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
+       "      <td id=\"T_1b7fd_row21_col0\" class=\"data row21 col0\" >NB130</td>\n",
+       "      <td id=\"T_1b7fd_row21_col1\" class=\"data row21 col1\" >Survivor-first renormalisation</td>\n",
+       "      <td id=\"T_1b7fd_row21_col2\" class=\"data row21 col2\" >allocator</td>\n",
+       "      <td id=\"T_1b7fd_row21_col3\" class=\"data row21 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row21_col4\" class=\"data row21 col4\" >7.64%</td>\n",
+       "      <td id=\"T_1b7fd_row21_col5\" class=\"data row21 col5\" >0.38</td>\n",
+       "      <td id=\"T_1b7fd_row21_col6\" class=\"data row21 col6\" >0.63</td>\n",
+       "      <td id=\"T_1b7fd_row21_col7\" class=\"data row21 col7\" >0.28</td>\n",
+       "      <td id=\"T_1b7fd_row21_col8\" class=\"data row21 col8\" >-27.06%</td>\n",
+       "      <td id=\"T_1b7fd_row21_col9\" class=\"data row21 col9\" >-3.56</td>\n",
+       "      <td id=\"T_1b7fd_row21_col10\" class=\"data row21 col10\" >0.04</td>\n",
+       "      <td id=\"T_1b7fd_row21_col11\" class=\"data row21 col11\" >2.63</td>\n",
+       "      <td id=\"T_1b7fd_row21_col12\" class=\"data row21 col12\" >1.35%</td>\n",
+       "      <td id=\"T_1b7fd_row21_col13\" class=\"data row21 col13\" >0.27</td>\n",
+       "      <td id=\"T_1b7fd_row21_col14\" class=\"data row21 col14\" >0.45</td>\n",
+       "      <td id=\"T_1b7fd_row21_col15\" class=\"data row21 col15\" >0.07</td>\n",
+       "      <td id=\"T_1b7fd_row21_col16\" class=\"data row21 col16\" >-19.41%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row22\" class=\"row_heading level0 row22\" >15</th>\n",
+       "      <td id=\"T_1b7fd_row22_col0\" class=\"data row22 col0\" >NB144</td>\n",
+       "      <td id=\"T_1b7fd_row22_col1\" class=\"data row22 col1\" >Capacity-aware equal weight</td>\n",
+       "      <td id=\"T_1b7fd_row22_col2\" class=\"data row22 col2\" >allocator</td>\n",
+       "      <td id=\"T_1b7fd_row22_col3\" class=\"data row22 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row22_col4\" class=\"data row22 col4\" >6.17%</td>\n",
+       "      <td id=\"T_1b7fd_row22_col5\" class=\"data row22 col5\" >0.36</td>\n",
+       "      <td id=\"T_1b7fd_row22_col6\" class=\"data row22 col6\" >0.58</td>\n",
+       "      <td id=\"T_1b7fd_row22_col7\" class=\"data row22 col7\" >0.17</td>\n",
+       "      <td id=\"T_1b7fd_row22_col8\" class=\"data row22 col8\" >-35.88%</td>\n",
+       "      <td id=\"T_1b7fd_row22_col9\" class=\"data row22 col9\" >-3.90</td>\n",
+       "      <td id=\"T_1b7fd_row22_col10\" class=\"data row22 col10\" >0.06</td>\n",
+       "      <td id=\"T_1b7fd_row22_col11\" class=\"data row22 col11\" >2.58</td>\n",
+       "      <td id=\"T_1b7fd_row22_col12\" class=\"data row22 col12\" >3.25%</td>\n",
+       "      <td id=\"T_1b7fd_row22_col13\" class=\"data row22 col13\" >0.32</td>\n",
+       "      <td id=\"T_1b7fd_row22_col14\" class=\"data row22 col14\" >0.54</td>\n",
+       "      <td id=\"T_1b7fd_row22_col15\" class=\"data row22 col15\" >0.16</td>\n",
+       "      <td id=\"T_1b7fd_row22_col16\" class=\"data row22 col16\" >-20.10%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row23\" class=\"row_heading level0 row23\" >24</th>\n",
+       "      <td id=\"T_1b7fd_row23_col0\" class=\"data row23 col0\" >NB143</td>\n",
+       "      <td id=\"T_1b7fd_row23_col1\" class=\"data row23 col1\" >Capped survivor-first waterfall</td>\n",
+       "      <td id=\"T_1b7fd_row23_col2\" class=\"data row23 col2\" >allocator</td>\n",
+       "      <td id=\"T_1b7fd_row23_col3\" class=\"data row23 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row23_col4\" class=\"data row23 col4\" >5.97%</td>\n",
+       "      <td id=\"T_1b7fd_row23_col5\" class=\"data row23 col5\" >0.40</td>\n",
+       "      <td id=\"T_1b7fd_row23_col6\" class=\"data row23 col6\" >0.67</td>\n",
+       "      <td id=\"T_1b7fd_row23_col7\" class=\"data row23 col7\" >0.14</td>\n",
+       "      <td id=\"T_1b7fd_row23_col8\" class=\"data row23 col8\" >-43.62%</td>\n",
+       "      <td id=\"T_1b7fd_row23_col9\" class=\"data row23 col9\" >-2.54</td>\n",
+       "      <td id=\"T_1b7fd_row23_col10\" class=\"data row23 col10\" >0.15</td>\n",
+       "      <td id=\"T_1b7fd_row23_col11\" class=\"data row23 col11\" >2.36</td>\n",
+       "      <td id=\"T_1b7fd_row23_col12\" class=\"data row23 col12\" >-11.81%</td>\n",
+       "      <td id=\"T_1b7fd_row23_col13\" class=\"data row23 col13\" >0.20</td>\n",
+       "      <td id=\"T_1b7fd_row23_col14\" class=\"data row23 col14\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row23_col15\" class=\"data row23 col15\" >-0.39</td>\n",
+       "      <td id=\"T_1b7fd_row23_col16\" class=\"data row23 col16\" >-30.56%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row24\" class=\"row_heading level0 row24\" >25</th>\n",
+       "      <td id=\"T_1b7fd_row24_col0\" class=\"data row24 col0\" >NB24</td>\n",
+       "      <td id=\"T_1b7fd_row24_col1\" class=\"data row24 col1\" >Signal-ranked waterfall</td>\n",
+       "      <td id=\"T_1b7fd_row24_col2\" class=\"data row24 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row24_col3\" class=\"data row24 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row24_col4\" class=\"data row24 col4\" >5.97%</td>\n",
+       "      <td id=\"T_1b7fd_row24_col5\" class=\"data row24 col5\" >0.40</td>\n",
+       "      <td id=\"T_1b7fd_row24_col6\" class=\"data row24 col6\" >0.67</td>\n",
+       "      <td id=\"T_1b7fd_row24_col7\" class=\"data row24 col7\" >0.14</td>\n",
+       "      <td id=\"T_1b7fd_row24_col8\" class=\"data row24 col8\" >-43.62%</td>\n",
+       "      <td id=\"T_1b7fd_row24_col9\" class=\"data row24 col9\" >-2.54</td>\n",
+       "      <td id=\"T_1b7fd_row24_col10\" class=\"data row24 col10\" >0.15</td>\n",
+       "      <td id=\"T_1b7fd_row24_col11\" class=\"data row24 col11\" >2.36</td>\n",
+       "      <td id=\"T_1b7fd_row24_col12\" class=\"data row24 col12\" >-11.81%</td>\n",
+       "      <td id=\"T_1b7fd_row24_col13\" class=\"data row24 col13\" >0.20</td>\n",
+       "      <td id=\"T_1b7fd_row24_col14\" class=\"data row24 col14\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row24_col15\" class=\"data row24 col15\" >-0.39</td>\n",
+       "      <td id=\"T_1b7fd_row24_col16\" class=\"data row24 col16\" >-30.56%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row25\" class=\"row_heading level0 row25\" >30</th>\n",
+       "      <td id=\"T_1b7fd_row25_col0\" class=\"data row25 col0\" >NB109</td>\n",
+       "      <td id=\"T_1b7fd_row25_col1\" class=\"data row25 col1\" >Volatility-of-volatility penalty</td>\n",
+       "      <td id=\"T_1b7fd_row25_col2\" class=\"data row25 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row25_col3\" class=\"data row25 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row25_col4\" class=\"data row25 col4\" >5.55%</td>\n",
+       "      <td id=\"T_1b7fd_row25_col5\" class=\"data row25 col5\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row25_col6\" class=\"data row25 col6\" >0.54</td>\n",
+       "      <td id=\"T_1b7fd_row25_col7\" class=\"data row25 col7\" >0.18</td>\n",
+       "      <td id=\"T_1b7fd_row25_col8\" class=\"data row25 col8\" >-30.70%</td>\n",
+       "      <td id=\"T_1b7fd_row25_col9\" class=\"data row25 col9\" >-3.56</td>\n",
+       "      <td id=\"T_1b7fd_row25_col10\" class=\"data row25 col10\" >0.23</td>\n",
+       "      <td id=\"T_1b7fd_row25_col11\" class=\"data row25 col11\" >2.47</td>\n",
+       "      <td id=\"T_1b7fd_row25_col12\" class=\"data row25 col12\" >-21.78%</td>\n",
+       "      <td id=\"T_1b7fd_row25_col13\" class=\"data row25 col13\" >-0.54</td>\n",
+       "      <td id=\"T_1b7fd_row25_col14\" class=\"data row25 col14\" >-0.81</td>\n",
+       "      <td id=\"T_1b7fd_row25_col15\" class=\"data row25 col15\" >-1.08</td>\n",
+       "      <td id=\"T_1b7fd_row25_col16\" class=\"data row25 col16\" >-20.18%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row26\" class=\"row_heading level0 row26\" >19</th>\n",
+       "      <td id=\"T_1b7fd_row26_col0\" class=\"data row26 col0\" >NB142</td>\n",
+       "      <td id=\"T_1b7fd_row26_col1\" class=\"data row26 col1\" >Equal-weight recycle</td>\n",
+       "      <td id=\"T_1b7fd_row26_col2\" class=\"data row26 col2\" >allocator</td>\n",
+       "      <td id=\"T_1b7fd_row26_col3\" class=\"data row26 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row26_col4\" class=\"data row26 col4\" >5.07%</td>\n",
+       "      <td id=\"T_1b7fd_row26_col5\" class=\"data row26 col5\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row26_col6\" class=\"data row26 col6\" >0.54</td>\n",
+       "      <td id=\"T_1b7fd_row26_col7\" class=\"data row26 col7\" >0.14</td>\n",
+       "      <td id=\"T_1b7fd_row26_col8\" class=\"data row26 col8\" >-35.83%</td>\n",
+       "      <td id=\"T_1b7fd_row26_col9\" class=\"data row26 col9\" >-3.90</td>\n",
+       "      <td id=\"T_1b7fd_row26_col10\" class=\"data row26 col10\" >0.06</td>\n",
+       "      <td id=\"T_1b7fd_row26_col11\" class=\"data row26 col11\" >2.58</td>\n",
+       "      <td id=\"T_1b7fd_row26_col12\" class=\"data row26 col12\" >2.02%</td>\n",
+       "      <td id=\"T_1b7fd_row26_col13\" class=\"data row26 col13\" >0.28</td>\n",
+       "      <td id=\"T_1b7fd_row26_col14\" class=\"data row26 col14\" >0.47</td>\n",
+       "      <td id=\"T_1b7fd_row26_col15\" class=\"data row26 col15\" >0.11</td>\n",
+       "      <td id=\"T_1b7fd_row26_col16\" class=\"data row26 col16\" >-18.98%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row27\" class=\"row_heading level0 row27\" >20</th>\n",
+       "      <td id=\"T_1b7fd_row27_col0\" class=\"data row27 col0\" >NB152</td>\n",
+       "      <td id=\"T_1b7fd_row27_col1\" class=\"data row27 col1\" >Equal-weight recycle with minimum hold</td>\n",
+       "      <td id=\"T_1b7fd_row27_col2\" class=\"data row27 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row27_col3\" class=\"data row27 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row27_col4\" class=\"data row27 col4\" >5.07%</td>\n",
+       "      <td id=\"T_1b7fd_row27_col5\" class=\"data row27 col5\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row27_col6\" class=\"data row27 col6\" >0.54</td>\n",
+       "      <td id=\"T_1b7fd_row27_col7\" class=\"data row27 col7\" >0.14</td>\n",
+       "      <td id=\"T_1b7fd_row27_col8\" class=\"data row27 col8\" >-35.83%</td>\n",
+       "      <td id=\"T_1b7fd_row27_col9\" class=\"data row27 col9\" >-3.90</td>\n",
+       "      <td id=\"T_1b7fd_row27_col10\" class=\"data row27 col10\" >0.06</td>\n",
+       "      <td id=\"T_1b7fd_row27_col11\" class=\"data row27 col11\" >2.58</td>\n",
+       "      <td id=\"T_1b7fd_row27_col12\" class=\"data row27 col12\" >2.02%</td>\n",
+       "      <td id=\"T_1b7fd_row27_col13\" class=\"data row27 col13\" >0.28</td>\n",
+       "      <td id=\"T_1b7fd_row27_col14\" class=\"data row27 col14\" >0.47</td>\n",
+       "      <td id=\"T_1b7fd_row27_col15\" class=\"data row27 col15\" >0.11</td>\n",
+       "      <td id=\"T_1b7fd_row27_col16\" class=\"data row27 col16\" >-18.98%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row28\" class=\"row_heading level0 row28\" >22</th>\n",
+       "      <td id=\"T_1b7fd_row28_col0\" class=\"data row28 col0\" >NB131</td>\n",
+       "      <td id=\"T_1b7fd_row28_col1\" class=\"data row28 col1\" >Age-ramp selection with equal deployment</td>\n",
+       "      <td id=\"T_1b7fd_row28_col2\" class=\"data row28 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row28_col3\" class=\"data row28 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row28_col4\" class=\"data row28 col4\" >4.81%</td>\n",
+       "      <td id=\"T_1b7fd_row28_col5\" class=\"data row28 col5\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row28_col6\" class=\"data row28 col6\" >0.53</td>\n",
+       "      <td id=\"T_1b7fd_row28_col7\" class=\"data row28 col7\" >0.13</td>\n",
+       "      <td id=\"T_1b7fd_row28_col8\" class=\"data row28 col8\" >-35.83%</td>\n",
+       "      <td id=\"T_1b7fd_row28_col9\" class=\"data row28 col9\" >-3.90</td>\n",
+       "      <td id=\"T_1b7fd_row28_col10\" class=\"data row28 col10\" >0.05</td>\n",
+       "      <td id=\"T_1b7fd_row28_col11\" class=\"data row28 col11\" >2.58</td>\n",
+       "      <td id=\"T_1b7fd_row28_col12\" class=\"data row28 col12\" >0.91%</td>\n",
+       "      <td id=\"T_1b7fd_row28_col13\" class=\"data row28 col13\" >0.25</td>\n",
+       "      <td id=\"T_1b7fd_row28_col14\" class=\"data row28 col14\" >0.42</td>\n",
+       "      <td id=\"T_1b7fd_row28_col15\" class=\"data row28 col15\" >0.05</td>\n",
+       "      <td id=\"T_1b7fd_row28_col16\" class=\"data row28 col16\" >-19.04%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row29\" class=\"row_heading level0 row29\" >23</th>\n",
+       "      <td id=\"T_1b7fd_row29_col0\" class=\"data row29 col0\" >NB23a</td>\n",
+       "      <td id=\"T_1b7fd_row29_col1\" class=\"data row29 col1\" >Equal weight</td>\n",
+       "      <td id=\"T_1b7fd_row29_col2\" class=\"data row29 col2\" >weight</td>\n",
+       "      <td id=\"T_1b7fd_row29_col3\" class=\"data row29 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row29_col4\" class=\"data row29 col4\" >4.81%</td>\n",
+       "      <td id=\"T_1b7fd_row29_col5\" class=\"data row29 col5\" >0.33</td>\n",
+       "      <td id=\"T_1b7fd_row29_col6\" class=\"data row29 col6\" >0.53</td>\n",
+       "      <td id=\"T_1b7fd_row29_col7\" class=\"data row29 col7\" >0.13</td>\n",
+       "      <td id=\"T_1b7fd_row29_col8\" class=\"data row29 col8\" >-35.83%</td>\n",
+       "      <td id=\"T_1b7fd_row29_col9\" class=\"data row29 col9\" >-3.90</td>\n",
+       "      <td id=\"T_1b7fd_row29_col10\" class=\"data row29 col10\" >0.05</td>\n",
+       "      <td id=\"T_1b7fd_row29_col11\" class=\"data row29 col11\" >2.58</td>\n",
+       "      <td id=\"T_1b7fd_row29_col12\" class=\"data row29 col12\" >0.91%</td>\n",
+       "      <td id=\"T_1b7fd_row29_col13\" class=\"data row29 col13\" >0.25</td>\n",
+       "      <td id=\"T_1b7fd_row29_col14\" class=\"data row29 col14\" >0.42</td>\n",
+       "      <td id=\"T_1b7fd_row29_col15\" class=\"data row29 col15\" >0.05</td>\n",
+       "      <td id=\"T_1b7fd_row29_col16\" class=\"data row29 col16\" >-19.04%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1b7fd_level0_row30\" class=\"row_heading level0 row30\" >28</th>\n",
+       "      <td id=\"T_1b7fd_row30_col0\" class=\"data row30 col0\" >NB158</td>\n",
+       "      <td id=\"T_1b7fd_row30_col1\" class=\"data row30 col1\" >Waterfall release candidate</td>\n",
+       "      <td id=\"T_1b7fd_row30_col2\" class=\"data row30 col2\" >combined</td>\n",
+       "      <td id=\"T_1b7fd_row30_col3\" class=\"data row30 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_1b7fd_row30_col4\" class=\"data row30 col4\" >-1.05%</td>\n",
+       "      <td id=\"T_1b7fd_row30_col5\" class=\"data row30 col5\" >0.30</td>\n",
+       "      <td id=\"T_1b7fd_row30_col6\" class=\"data row30 col6\" >0.49</td>\n",
+       "      <td id=\"T_1b7fd_row30_col7\" class=\"data row30 col7\" >-0.02</td>\n",
+       "      <td id=\"T_1b7fd_row30_col8\" class=\"data row30 col8\" >-43.62%</td>\n",
+       "      <td id=\"T_1b7fd_row30_col9\" class=\"data row30 col9\" >-2.54</td>\n",
+       "      <td id=\"T_1b7fd_row30_col10\" class=\"data row30 col10\" >0.14</td>\n",
+       "      <td id=\"T_1b7fd_row30_col11\" class=\"data row30 col11\" >2.36</td>\n",
+       "      <td id=\"T_1b7fd_row30_col12\" class=\"data row30 col12\" >-27.57%</td>\n",
+       "      <td id=\"T_1b7fd_row30_col13\" class=\"data row30 col13\" >-0.06</td>\n",
+       "      <td id=\"T_1b7fd_row30_col14\" class=\"data row30 col14\" >-0.10</td>\n",
+       "      <td id=\"T_1b7fd_row30_col15\" class=\"data row30 col15\" >-0.90</td>\n",
+       "      <td id=\"T_1b7fd_row30_col16\" class=\"data row30 col16\" >-30.56%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x11b189400>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance_columns = [\n",
+    "    'ID', 'Method', 'Family', 'Provenance',\n",
+    "    'Full CAGR', 'Full Sharpe', 'Full Sortino', 'Full Calmar', 'Full Max DD',\n",
+    "    '90d rolling Sharpe min', '90d rolling Sharpe mean', '90d rolling Sharpe max',\n",
+    "    'Holdout CAGR', 'Holdout Sharpe', 'Holdout Sortino', 'Holdout Calmar', 'Holdout Max DD',\n",
+    "]\n",
+    "performance_metrics_df = successful_df.merge(rolling_sharpe_metrics_df, on='ID', how='left', validate='one_to_one').loc[:, performance_columns].sort_values(\n",
+    "    ['Full CAGR', 'ID'],\n",
+    "    ascending=[False, True],\n",
+    ")\n",
+    "percentage_columns = ['Full CAGR', 'Full Max DD', 'Holdout CAGR', 'Holdout Max DD']\n",
+    "ratio_columns = ['Full Sharpe', 'Full Sortino', 'Full Calmar', '90d rolling Sharpe min', '90d rolling Sharpe mean', '90d rolling Sharpe max', 'Holdout Sharpe', 'Holdout Sortino', 'Holdout Calmar']\n",
+    "display(\n",
+    "    performance_metrics_df.style\n",
+    "    .format({column: '{:.2%}' for column in percentage_columns} | {column: '{:.2f}' for column in ratio_columns})\n",
+    "    .set_caption('All successful methods \u2014 full-period and clean extension holdout performance metrics')\n",
+    ")\n",
+    "\n",
+    "fig = px.line(\n",
+    "    all_rolling_sharpe_plot_df,\n",
+    "    x='timestamp',\n",
+    "    y='rolling_sharpe',\n",
+    "    color='ID',\n",
+    "    title='All 31 compared 90-day rolling Sharpe ratios',\n",
+    ")\n",
+    "fig.add_hline(y=0.0, line_dash='dot', line_color='grey')\n",
+    "fig.update_traces(opacity=0.72)\n",
+    "fig.update_layout(legend_title_text='Method ID', yaxis_title='Annualised Sharpe ratio')\n",
+    "fig.show()\n",
+    "\n",
+    "def display_performance_cluster_maps(metrics_df: pd.DataFrame, section_name: str) -> pd.DataFrame:\n",
+    "    \"\"\"Cluster and plot the full-period risk/return metric pairs for one result section.\"\"\"\n",
+    "    from sklearn.cluster import KMeans\n",
+    "    from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "    def create_map(y_column: str, y_title: str) -> pd.DataFrame:\n",
+    "        map_df = metrics_df[['ID', 'Method', 'Family', 'Full Max DD', y_column]].dropna().copy()\n",
+    "        feature_columns = ['Full Max DD', y_column]\n",
+    "        cluster_count = min(3, len(map_df[feature_columns].drop_duplicates()))\n",
+    "        scaled_features = StandardScaler().fit_transform(map_df[feature_columns])\n",
+    "        labels = KMeans(n_clusters=cluster_count, n_init=20, random_state=42).fit_predict(scaled_features)\n",
+    "        map_df['Cluster'] = pd.Categorical([f'Cluster {label + 1}' for label in labels])\n",
+    "\n",
+    "        fig = px.scatter(\n",
+    "            map_df,\n",
+    "            x='Full Max DD',\n",
+    "            y=y_column,\n",
+    "            color='Cluster',\n",
+    "            hover_name='ID',\n",
+    "            hover_data={'Method': True, 'Family': True, 'Full Max DD': ':.2%', y_column: ':.2%' if y_column == 'Full CAGR' else ':.2f'},\n",
+    "            title=f'{section_name} \u2014 {y_title} / max DD cluster map',\n",
+    "        )\n",
+    "        fig.update_traces(marker={'size': 11, 'opacity': 0.82})\n",
+    "        fig.update_layout(legend_title_text='Performance cluster', xaxis_title='Full maximum drawdown')\n",
+    "        fig.update_xaxes(tickformat='.0%')\n",
+    "        if y_column == 'Full CAGR':\n",
+    "            fig.update_yaxes(tickformat='.0%')\n",
+    "        fig.show()\n",
+    "        return map_df\n",
+    "\n",
+    "    sharpe_clusters = create_map('Full Sharpe', 'Sharpe')\n",
+    "    cagr_clusters = create_map('Full CAGR', 'CAGR')\n",
+    "    return sharpe_clusters.merge(cagr_clusters[['ID', 'Cluster']], on='ID', suffixes=(' Sharpe / max DD', ' CAGR / max DD'))\n",
+    "\n",
+    "raw_performance_clusters_df = display_performance_cluster_maps(performance_metrics_df, 'Results')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9d7f360",
+   "metadata": {},
+   "source": [
+    "# Results without outliers\n",
+    "\n",
+    "This robustness view neutralises only each method's largest 5% of strictly profitable daily portfolio returns to 0%. Negative returns remain unchanged, preserving adverse outcomes and the original calendar length. It is an ex-post return-series sensitivity analysis: selections, weights, trades, and trading costs are identical to the unfiltered backtests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "de1f624a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T07:06:10.241435Z",
+     "iopub.status.busy": "2026-07-23T07:06:10.241294Z",
+     "iopub.status.idle": "2026-07-23T07:06:26.177841Z",
+     "shell.execute_reply": "2026-07-23T07:06:26.177236Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "</style>\n",
+       "<table id=\"T_fb217\">\n",
+       "  <caption>All successful methods \u2014 largest 5% of profitable daily returns neutralised; losses retained</caption>\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_fb217_level0_col0\" class=\"col_heading level0 col0\" >ID</th>\n",
+       "      <th id=\"T_fb217_level0_col1\" class=\"col_heading level0 col1\" >Method</th>\n",
+       "      <th id=\"T_fb217_level0_col2\" class=\"col_heading level0 col2\" >Family</th>\n",
+       "      <th id=\"T_fb217_level0_col3\" class=\"col_heading level0 col3\" >Provenance</th>\n",
+       "      <th id=\"T_fb217_level0_col4\" class=\"col_heading level0 col4\" >Removed profitable days</th>\n",
+       "      <th id=\"T_fb217_level0_col5\" class=\"col_heading level0 col5\" >Profitable-return cutoff</th>\n",
+       "      <th id=\"T_fb217_level0_col6\" class=\"col_heading level0 col6\" >Full CAGR</th>\n",
+       "      <th id=\"T_fb217_level0_col7\" class=\"col_heading level0 col7\" >Full Sharpe</th>\n",
+       "      <th id=\"T_fb217_level0_col8\" class=\"col_heading level0 col8\" >Full Sortino</th>\n",
+       "      <th id=\"T_fb217_level0_col9\" class=\"col_heading level0 col9\" >Full Calmar</th>\n",
+       "      <th id=\"T_fb217_level0_col10\" class=\"col_heading level0 col10\" >Full Max DD</th>\n",
+       "      <th id=\"T_fb217_level0_col11\" class=\"col_heading level0 col11\" >90d rolling Sharpe min</th>\n",
+       "      <th id=\"T_fb217_level0_col12\" class=\"col_heading level0 col12\" >90d rolling Sharpe mean</th>\n",
+       "      <th id=\"T_fb217_level0_col13\" class=\"col_heading level0 col13\" >90d rolling Sharpe max</th>\n",
+       "      <th id=\"T_fb217_level0_col14\" class=\"col_heading level0 col14\" >Holdout CAGR</th>\n",
+       "      <th id=\"T_fb217_level0_col15\" class=\"col_heading level0 col15\" >Holdout Sharpe</th>\n",
+       "      <th id=\"T_fb217_level0_col16\" class=\"col_heading level0 col16\" >Holdout Sortino</th>\n",
+       "      <th id=\"T_fb217_level0_col17\" class=\"col_heading level0 col17\" >Holdout Calmar</th>\n",
+       "      <th id=\"T_fb217_level0_col18\" class=\"col_heading level0 col18\" >Holdout Max DD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row0\" class=\"row_heading level0 row0\" >12</th>\n",
+       "      <td id=\"T_fb217_row0_col0\" class=\"data row0 col0\" >NB22</td>\n",
+       "      <td id=\"T_fb217_row0_col1\" class=\"data row0 col1\" >Inverse-volatility weighting</td>\n",
+       "      <td id=\"T_fb217_row0_col2\" class=\"data row0 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row0_col3\" class=\"data row0 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row0_col4\" class=\"data row0 col4\" >11</td>\n",
+       "      <td id=\"T_fb217_row0_col5\" class=\"data row0 col5\" >0.63%</td>\n",
+       "      <td id=\"T_fb217_row0_col6\" class=\"data row0 col6\" >-4.15%</td>\n",
+       "      <td id=\"T_fb217_row0_col7\" class=\"data row0 col7\" >-0.99</td>\n",
+       "      <td id=\"T_fb217_row0_col8\" class=\"data row0 col8\" >-1.13</td>\n",
+       "      <td id=\"T_fb217_row0_col9\" class=\"data row0 col9\" >-0.46</td>\n",
+       "      <td id=\"T_fb217_row0_col10\" class=\"data row0 col10\" >-9.07%</td>\n",
+       "      <td id=\"T_fb217_row0_col11\" class=\"data row0 col11\" >-4.65</td>\n",
+       "      <td id=\"T_fb217_row0_col12\" class=\"data row0 col12\" >-1.26</td>\n",
+       "      <td id=\"T_fb217_row0_col13\" class=\"data row0 col13\" >2.91</td>\n",
+       "      <td id=\"T_fb217_row0_col14\" class=\"data row0 col14\" >1.16%</td>\n",
+       "      <td id=\"T_fb217_row0_col15\" class=\"data row0 col15\" >0.64</td>\n",
+       "      <td id=\"T_fb217_row0_col16\" class=\"data row0 col16\" >0.74</td>\n",
+       "      <td id=\"T_fb217_row0_col17\" class=\"data row0 col17\" >1.18</td>\n",
+       "      <td id=\"T_fb217_row0_col18\" class=\"data row0 col18\" >-0.98%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row1\" class=\"row_heading level0 row1\" >19</th>\n",
+       "      <td id=\"T_fb217_row1_col0\" class=\"data row1 col0\" >NB29</td>\n",
+       "      <td id=\"T_fb217_row1_col1\" class=\"data row1 col1\" >Dynamic diversified waterfall</td>\n",
+       "      <td id=\"T_fb217_row1_col2\" class=\"data row1 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row1_col3\" class=\"data row1 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row1_col4\" class=\"data row1 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row1_col5\" class=\"data row1 col5\" >1.11%</td>\n",
+       "      <td id=\"T_fb217_row1_col6\" class=\"data row1 col6\" >-8.19%</td>\n",
+       "      <td id=\"T_fb217_row1_col7\" class=\"data row1 col7\" >-0.94</td>\n",
+       "      <td id=\"T_fb217_row1_col8\" class=\"data row1 col8\" >-1.11</td>\n",
+       "      <td id=\"T_fb217_row1_col9\" class=\"data row1 col9\" >-0.45</td>\n",
+       "      <td id=\"T_fb217_row1_col10\" class=\"data row1 col10\" >-18.34%</td>\n",
+       "      <td id=\"T_fb217_row1_col11\" class=\"data row1 col11\" >-6.29</td>\n",
+       "      <td id=\"T_fb217_row1_col12\" class=\"data row1 col12\" >-1.23</td>\n",
+       "      <td id=\"T_fb217_row1_col13\" class=\"data row1 col13\" >6.25</td>\n",
+       "      <td id=\"T_fb217_row1_col14\" class=\"data row1 col14\" >24.03%</td>\n",
+       "      <td id=\"T_fb217_row1_col15\" class=\"data row1 col15\" >2.55</td>\n",
+       "      <td id=\"T_fb217_row1_col16\" class=\"data row1 col16\" >3.40</td>\n",
+       "      <td id=\"T_fb217_row1_col17\" class=\"data row1 col17\" >6.58</td>\n",
+       "      <td id=\"T_fb217_row1_col18\" class=\"data row1 col18\" >-3.65%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row2\" class=\"row_heading level0 row2\" >4</th>\n",
+       "      <td id=\"T_fb217_row2_col0\" class=\"data row2 col0\" >NB128</td>\n",
+       "      <td id=\"T_fb217_row2_col1\" class=\"data row2 col1\" >Correlation-cluster equal weight</td>\n",
+       "      <td id=\"T_fb217_row2_col2\" class=\"data row2 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row2_col3\" class=\"data row2 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row2_col4\" class=\"data row2 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row2_col5\" class=\"data row2 col5\" >6.66%</td>\n",
+       "      <td id=\"T_fb217_row2_col6\" class=\"data row2 col6\" >-9.40%</td>\n",
+       "      <td id=\"T_fb217_row2_col7\" class=\"data row2 col7\" >-0.01</td>\n",
+       "      <td id=\"T_fb217_row2_col8\" class=\"data row2 col8\" >-0.01</td>\n",
+       "      <td id=\"T_fb217_row2_col9\" class=\"data row2 col9\" >-0.28</td>\n",
+       "      <td id=\"T_fb217_row2_col10\" class=\"data row2 col10\" >-32.99%</td>\n",
+       "      <td id=\"T_fb217_row2_col11\" class=\"data row2 col11\" >-2.95</td>\n",
+       "      <td id=\"T_fb217_row2_col12\" class=\"data row2 col12\" >0.02</td>\n",
+       "      <td id=\"T_fb217_row2_col13\" class=\"data row2 col13\" >4.31</td>\n",
+       "      <td id=\"T_fb217_row2_col14\" class=\"data row2 col14\" >-59.59%</td>\n",
+       "      <td id=\"T_fb217_row2_col15\" class=\"data row2 col15\" >-1.47</td>\n",
+       "      <td id=\"T_fb217_row2_col16\" class=\"data row2 col16\" >-1.96</td>\n",
+       "      <td id=\"T_fb217_row2_col17\" class=\"data row2 col17\" >-1.81</td>\n",
+       "      <td id=\"T_fb217_row2_col18\" class=\"data row2 col18\" >-32.99%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row3\" class=\"row_heading level0 row3\" >24</th>\n",
+       "      <td id=\"T_fb217_row3_col0\" class=\"data row3 col0\" >NB63</td>\n",
+       "      <td id=\"T_fb217_row3_col1\" class=\"data row3 col1\" >Softmax allocation</td>\n",
+       "      <td id=\"T_fb217_row3_col2\" class=\"data row3 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row3_col3\" class=\"data row3 col3\" >approximation</td>\n",
+       "      <td id=\"T_fb217_row3_col4\" class=\"data row3 col4\" >8</td>\n",
+       "      <td id=\"T_fb217_row3_col5\" class=\"data row3 col5\" >4.97%</td>\n",
+       "      <td id=\"T_fb217_row3_col6\" class=\"data row3 col6\" >-22.67%</td>\n",
+       "      <td id=\"T_fb217_row3_col7\" class=\"data row3 col7\" >-0.63</td>\n",
+       "      <td id=\"T_fb217_row3_col8\" class=\"data row3 col8\" >-0.84</td>\n",
+       "      <td id=\"T_fb217_row3_col9\" class=\"data row3 col9\" >-0.86</td>\n",
+       "      <td id=\"T_fb217_row3_col10\" class=\"data row3 col10\" >-26.49%</td>\n",
+       "      <td id=\"T_fb217_row3_col11\" class=\"data row3 col11\" >-2.47</td>\n",
+       "      <td id=\"T_fb217_row3_col12\" class=\"data row3 col12\" >-0.54</td>\n",
+       "      <td id=\"T_fb217_row3_col13\" class=\"data row3 col13\" >2.91</td>\n",
+       "      <td id=\"T_fb217_row3_col14\" class=\"data row3 col14\" >-51.49%</td>\n",
+       "      <td id=\"T_fb217_row3_col15\" class=\"data row3 col15\" >-1.76</td>\n",
+       "      <td id=\"T_fb217_row3_col16\" class=\"data row3 col16\" >-2.16</td>\n",
+       "      <td id=\"T_fb217_row3_col17\" class=\"data row3 col17\" >-2.03</td>\n",
+       "      <td id=\"T_fb217_row3_col18\" class=\"data row3 col18\" >-25.41%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row4\" class=\"row_heading level0 row4\" >23</th>\n",
+       "      <td id=\"T_fb217_row4_col0\" class=\"data row4 col0\" >NB60</td>\n",
+       "      <td id=\"T_fb217_row4_col1\" class=\"data row4 col1\" >Bayesian credibility weighting</td>\n",
+       "      <td id=\"T_fb217_row4_col2\" class=\"data row4 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row4_col3\" class=\"data row4 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row4_col4\" class=\"data row4 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row4_col5\" class=\"data row4 col5\" >5.51%</td>\n",
+       "      <td id=\"T_fb217_row4_col6\" class=\"data row4 col6\" >-23.96%</td>\n",
+       "      <td id=\"T_fb217_row4_col7\" class=\"data row4 col7\" >-0.41</td>\n",
+       "      <td id=\"T_fb217_row4_col8\" class=\"data row4 col8\" >-0.53</td>\n",
+       "      <td id=\"T_fb217_row4_col9\" class=\"data row4 col9\" >-0.60</td>\n",
+       "      <td id=\"T_fb217_row4_col10\" class=\"data row4 col10\" >-39.61%</td>\n",
+       "      <td id=\"T_fb217_row4_col11\" class=\"data row4 col11\" >-3.27</td>\n",
+       "      <td id=\"T_fb217_row4_col12\" class=\"data row4 col12\" >-0.28</td>\n",
+       "      <td id=\"T_fb217_row4_col13\" class=\"data row4 col13\" >4.04</td>\n",
+       "      <td id=\"T_fb217_row4_col14\" class=\"data row4 col14\" >-57.61%</td>\n",
+       "      <td id=\"T_fb217_row4_col15\" class=\"data row4 col15\" >-1.54</td>\n",
+       "      <td id=\"T_fb217_row4_col16\" class=\"data row4 col16\" >-1.93</td>\n",
+       "      <td id=\"T_fb217_row4_col17\" class=\"data row4 col17\" >-2.12</td>\n",
+       "      <td id=\"T_fb217_row4_col18\" class=\"data row4 col18\" >-27.16%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row5\" class=\"row_heading level0 row5\" >26</th>\n",
+       "      <td id=\"T_fb217_row5_col0\" class=\"data row5 col0\" >NB66</td>\n",
+       "      <td id=\"T_fb217_row5_col1\" class=\"data row5 col1\" >Dual-signal gate and weight</td>\n",
+       "      <td id=\"T_fb217_row5_col2\" class=\"data row5 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row5_col3\" class=\"data row5 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row5_col4\" class=\"data row5 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row5_col5\" class=\"data row5 col5\" >5.22%</td>\n",
+       "      <td id=\"T_fb217_row5_col6\" class=\"data row5 col6\" >-24.39%</td>\n",
+       "      <td id=\"T_fb217_row5_col7\" class=\"data row5 col7\" >-0.51</td>\n",
+       "      <td id=\"T_fb217_row5_col8\" class=\"data row5 col8\" >-0.66</td>\n",
+       "      <td id=\"T_fb217_row5_col9\" class=\"data row5 col9\" >-0.80</td>\n",
+       "      <td id=\"T_fb217_row5_col10\" class=\"data row5 col10\" >-30.33%</td>\n",
+       "      <td id=\"T_fb217_row5_col11\" class=\"data row5 col11\" >-3.21</td>\n",
+       "      <td id=\"T_fb217_row5_col12\" class=\"data row5 col12\" >-0.49</td>\n",
+       "      <td id=\"T_fb217_row5_col13\" class=\"data row5 col13\" >2.95</td>\n",
+       "      <td id=\"T_fb217_row5_col14\" class=\"data row5 col14\" >-54.18%</td>\n",
+       "      <td id=\"T_fb217_row5_col15\" class=\"data row5 col15\" >-1.40</td>\n",
+       "      <td id=\"T_fb217_row5_col16\" class=\"data row5 col16\" >-1.74</td>\n",
+       "      <td id=\"T_fb217_row5_col17\" class=\"data row5 col17\" >-2.02</td>\n",
+       "      <td id=\"T_fb217_row5_col18\" class=\"data row5 col18\" >-26.87%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row6\" class=\"row_heading level0 row6\" >27</th>\n",
+       "      <td id=\"T_fb217_row6_col0\" class=\"data row6 col0\" >NB68</td>\n",
+       "      <td id=\"T_fb217_row6_col1\" class=\"data row6 col1\" >Bayesian gate with equal weight</td>\n",
+       "      <td id=\"T_fb217_row6_col2\" class=\"data row6 col2\" >selector</td>\n",
+       "      <td id=\"T_fb217_row6_col3\" class=\"data row6 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row6_col4\" class=\"data row6 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row6_col5\" class=\"data row6 col5\" >5.43%</td>\n",
+       "      <td id=\"T_fb217_row6_col6\" class=\"data row6 col6\" >-25.60%</td>\n",
+       "      <td id=\"T_fb217_row6_col7\" class=\"data row6 col7\" >-0.45</td>\n",
+       "      <td id=\"T_fb217_row6_col8\" class=\"data row6 col8\" >-0.59</td>\n",
+       "      <td id=\"T_fb217_row6_col9\" class=\"data row6 col9\" >-0.68</td>\n",
+       "      <td id=\"T_fb217_row6_col10\" class=\"data row6 col10\" >-37.44%</td>\n",
+       "      <td id=\"T_fb217_row6_col11\" class=\"data row6 col11\" >-3.40</td>\n",
+       "      <td id=\"T_fb217_row6_col12\" class=\"data row6 col12\" >-0.50</td>\n",
+       "      <td id=\"T_fb217_row6_col13\" class=\"data row6 col13\" >3.26</td>\n",
+       "      <td id=\"T_fb217_row6_col14\" class=\"data row6 col14\" >-50.41%</td>\n",
+       "      <td id=\"T_fb217_row6_col15\" class=\"data row6 col15\" >-1.10</td>\n",
+       "      <td id=\"T_fb217_row6_col16\" class=\"data row6 col16\" >-1.40</td>\n",
+       "      <td id=\"T_fb217_row6_col17\" class=\"data row6 col17\" >-1.82</td>\n",
+       "      <td id=\"T_fb217_row6_col18\" class=\"data row6 col18\" >-27.68%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row7\" class=\"row_heading level0 row7\" >28</th>\n",
+       "      <td id=\"T_fb217_row7_col0\" class=\"data row7 col0\" >NB71</td>\n",
+       "      <td id=\"T_fb217_row7_col1\" class=\"data row7 col1\" >Rank-composite selection</td>\n",
+       "      <td id=\"T_fb217_row7_col2\" class=\"data row7 col2\" >selector</td>\n",
+       "      <td id=\"T_fb217_row7_col3\" class=\"data row7 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row7_col4\" class=\"data row7 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row7_col5\" class=\"data row7 col5\" >4.68%</td>\n",
+       "      <td id=\"T_fb217_row7_col6\" class=\"data row7 col6\" >-27.84%</td>\n",
+       "      <td id=\"T_fb217_row7_col7\" class=\"data row7 col7\" >-0.89</td>\n",
+       "      <td id=\"T_fb217_row7_col8\" class=\"data row7 col8\" >-1.16</td>\n",
+       "      <td id=\"T_fb217_row7_col9\" class=\"data row7 col9\" >-0.89</td>\n",
+       "      <td id=\"T_fb217_row7_col10\" class=\"data row7 col10\" >-31.27%</td>\n",
+       "      <td id=\"T_fb217_row7_col11\" class=\"data row7 col11\" >-2.58</td>\n",
+       "      <td id=\"T_fb217_row7_col12\" class=\"data row7 col12\" >-0.47</td>\n",
+       "      <td id=\"T_fb217_row7_col13\" class=\"data row7 col13\" >1.80</td>\n",
+       "      <td id=\"T_fb217_row7_col14\" class=\"data row7 col14\" >-53.35%</td>\n",
+       "      <td id=\"T_fb217_row7_col15\" class=\"data row7 col15\" >-1.96</td>\n",
+       "      <td id=\"T_fb217_row7_col16\" class=\"data row7 col16\" >-2.41</td>\n",
+       "      <td id=\"T_fb217_row7_col17\" class=\"data row7 col17\" >-2.13</td>\n",
+       "      <td id=\"T_fb217_row7_col18\" class=\"data row7 col18\" >-25.00%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row8\" class=\"row_heading level0 row8\" >18</th>\n",
+       "      <td id=\"T_fb217_row8_col0\" class=\"data row8 col0\" >NB28</td>\n",
+       "      <td id=\"T_fb217_row8_col1\" class=\"data row8 col1\" >Diversified waterfall</td>\n",
+       "      <td id=\"T_fb217_row8_col2\" class=\"data row8 col2\" >allocator</td>\n",
+       "      <td id=\"T_fb217_row8_col3\" class=\"data row8 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row8_col4\" class=\"data row8 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row8_col5\" class=\"data row8 col5\" >2.96%</td>\n",
+       "      <td id=\"T_fb217_row8_col6\" class=\"data row8 col6\" >-28.92%</td>\n",
+       "      <td id=\"T_fb217_row8_col7\" class=\"data row8 col7\" >-1.84</td>\n",
+       "      <td id=\"T_fb217_row8_col8\" class=\"data row8 col8\" >-2.05</td>\n",
+       "      <td id=\"T_fb217_row8_col9\" class=\"data row8 col9\" >-0.86</td>\n",
+       "      <td id=\"T_fb217_row8_col10\" class=\"data row8 col10\" >-33.55%</td>\n",
+       "      <td id=\"T_fb217_row8_col11\" class=\"data row8 col11\" >-4.62</td>\n",
+       "      <td id=\"T_fb217_row8_col12\" class=\"data row8 col12\" >-1.70</td>\n",
+       "      <td id=\"T_fb217_row8_col13\" class=\"data row8 col13\" >2.73</td>\n",
+       "      <td id=\"T_fb217_row8_col14\" class=\"data row8 col14\" >-60.45%</td>\n",
+       "      <td id=\"T_fb217_row8_col15\" class=\"data row8 col15\" >-3.27</td>\n",
+       "      <td id=\"T_fb217_row8_col16\" class=\"data row8 col16\" >-3.53</td>\n",
+       "      <td id=\"T_fb217_row8_col17\" class=\"data row8 col17\" >-2.10</td>\n",
+       "      <td id=\"T_fb217_row8_col18\" class=\"data row8 col18\" >-28.81%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row9\" class=\"row_heading level0 row9\" >21</th>\n",
+       "      <td id=\"T_fb217_row9_col0\" class=\"data row9 col0\" >NB54</td>\n",
+       "      <td id=\"T_fb217_row9_col1\" class=\"data row9 col1\" >PSR concentration</td>\n",
+       "      <td id=\"T_fb217_row9_col2\" class=\"data row9 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row9_col3\" class=\"data row9 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row9_col4\" class=\"data row9 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row9_col5\" class=\"data row9 col5\" >5.30%</td>\n",
+       "      <td id=\"T_fb217_row9_col6\" class=\"data row9 col6\" >-29.10%</td>\n",
+       "      <td id=\"T_fb217_row9_col7\" class=\"data row9 col7\" >-0.72</td>\n",
+       "      <td id=\"T_fb217_row9_col8\" class=\"data row9 col8\" >-0.95</td>\n",
+       "      <td id=\"T_fb217_row9_col9\" class=\"data row9 col9\" >-0.84</td>\n",
+       "      <td id=\"T_fb217_row9_col10\" class=\"data row9 col10\" >-34.53%</td>\n",
+       "      <td id=\"T_fb217_row9_col11\" class=\"data row9 col11\" >-2.18</td>\n",
+       "      <td id=\"T_fb217_row9_col12\" class=\"data row9 col12\" >-0.40</td>\n",
+       "      <td id=\"T_fb217_row9_col13\" class=\"data row9 col13\" >2.12</td>\n",
+       "      <td id=\"T_fb217_row9_col14\" class=\"data row9 col14\" >-62.14%</td>\n",
+       "      <td id=\"T_fb217_row9_col15\" class=\"data row9 col15\" >-1.98</td>\n",
+       "      <td id=\"T_fb217_row9_col16\" class=\"data row9 col16\" >-2.51</td>\n",
+       "      <td id=\"T_fb217_row9_col17\" class=\"data row9 col17\" >-1.90</td>\n",
+       "      <td id=\"T_fb217_row9_col18\" class=\"data row9 col18\" >-32.71%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row10\" class=\"row_heading level0 row10\" >17</th>\n",
+       "      <td id=\"T_fb217_row10_col0\" class=\"data row10 col0\" >NB27</td>\n",
+       "      <td id=\"T_fb217_row10_col1\" class=\"data row10 col1\" >Sharpe-based weighting</td>\n",
+       "      <td id=\"T_fb217_row10_col2\" class=\"data row10 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row10_col3\" class=\"data row10 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row10_col4\" class=\"data row10 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row10_col5\" class=\"data row10 col5\" >4.51%</td>\n",
+       "      <td id=\"T_fb217_row10_col6\" class=\"data row10 col6\" >-30.79%</td>\n",
+       "      <td id=\"T_fb217_row10_col7\" class=\"data row10 col7\" >-0.98</td>\n",
+       "      <td id=\"T_fb217_row10_col8\" class=\"data row10 col8\" >-1.26</td>\n",
+       "      <td id=\"T_fb217_row10_col9\" class=\"data row10 col9\" >-0.91</td>\n",
+       "      <td id=\"T_fb217_row10_col10\" class=\"data row10 col10\" >-33.88%</td>\n",
+       "      <td id=\"T_fb217_row10_col11\" class=\"data row10 col11\" >-3.66</td>\n",
+       "      <td id=\"T_fb217_row10_col12\" class=\"data row10 col12\" >-1.06</td>\n",
+       "      <td id=\"T_fb217_row10_col13\" class=\"data row10 col13\" >2.97</td>\n",
+       "      <td id=\"T_fb217_row10_col14\" class=\"data row10 col14\" >-60.38%</td>\n",
+       "      <td id=\"T_fb217_row10_col15\" class=\"data row10 col15\" >-2.35</td>\n",
+       "      <td id=\"T_fb217_row10_col16\" class=\"data row10 col16\" >-2.81</td>\n",
+       "      <td id=\"T_fb217_row10_col17\" class=\"data row10 col17\" >-2.02</td>\n",
+       "      <td id=\"T_fb217_row10_col18\" class=\"data row10 col18\" >-29.94%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row11\" class=\"row_heading level0 row11\" >22</th>\n",
+       "      <td id=\"T_fb217_row11_col0\" class=\"data row11 col0\" >NB59</td>\n",
+       "      <td id=\"T_fb217_row11_col1\" class=\"data row11 col1\" >Linear PSR gate</td>\n",
+       "      <td id=\"T_fb217_row11_col2\" class=\"data row11 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row11_col3\" class=\"data row11 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row11_col4\" class=\"data row11 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row11_col5\" class=\"data row11 col5\" >4.45%</td>\n",
+       "      <td id=\"T_fb217_row11_col6\" class=\"data row11 col6\" >-32.12%</td>\n",
+       "      <td id=\"T_fb217_row11_col7\" class=\"data row11 col7\" >-0.95</td>\n",
+       "      <td id=\"T_fb217_row11_col8\" class=\"data row11 col8\" >-1.22</td>\n",
+       "      <td id=\"T_fb217_row11_col9\" class=\"data row11 col9\" >-0.87</td>\n",
+       "      <td id=\"T_fb217_row11_col10\" class=\"data row11 col10\" >-36.98%</td>\n",
+       "      <td id=\"T_fb217_row11_col11\" class=\"data row11 col11\" >-3.16</td>\n",
+       "      <td id=\"T_fb217_row11_col12\" class=\"data row11 col12\" >-0.94</td>\n",
+       "      <td id=\"T_fb217_row11_col13\" class=\"data row11 col13\" >1.55</td>\n",
+       "      <td id=\"T_fb217_row11_col14\" class=\"data row11 col14\" >-54.06%</td>\n",
+       "      <td id=\"T_fb217_row11_col15\" class=\"data row11 col15\" >-1.70</td>\n",
+       "      <td id=\"T_fb217_row11_col16\" class=\"data row11 col16\" >-2.09</td>\n",
+       "      <td id=\"T_fb217_row11_col17\" class=\"data row11 col17\" >-2.10</td>\n",
+       "      <td id=\"T_fb217_row11_col18\" class=\"data row11 col18\" >-25.80%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row12\" class=\"row_heading level0 row12\" >20</th>\n",
+       "      <td id=\"T_fb217_row12_col0\" class=\"data row12 col0\" >NB45</td>\n",
+       "      <td id=\"T_fb217_row12_col1\" class=\"data row12 col1\" >Calmar-signal allocation</td>\n",
+       "      <td id=\"T_fb217_row12_col2\" class=\"data row12 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row12_col3\" class=\"data row12 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row12_col4\" class=\"data row12 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row12_col5\" class=\"data row12 col5\" >5.43%</td>\n",
+       "      <td id=\"T_fb217_row12_col6\" class=\"data row12 col6\" >-34.86%</td>\n",
+       "      <td id=\"T_fb217_row12_col7\" class=\"data row12 col7\" >-0.90</td>\n",
+       "      <td id=\"T_fb217_row12_col8\" class=\"data row12 col8\" >-1.19</td>\n",
+       "      <td id=\"T_fb217_row12_col9\" class=\"data row12 col9\" >-0.90</td>\n",
+       "      <td id=\"T_fb217_row12_col10\" class=\"data row12 col10\" >-38.57%</td>\n",
+       "      <td id=\"T_fb217_row12_col11\" class=\"data row12 col11\" >-2.66</td>\n",
+       "      <td id=\"T_fb217_row12_col12\" class=\"data row12 col12\" >-0.56</td>\n",
+       "      <td id=\"T_fb217_row12_col13\" class=\"data row12 col13\" >2.75</td>\n",
+       "      <td id=\"T_fb217_row12_col14\" class=\"data row12 col14\" >-74.75%</td>\n",
+       "      <td id=\"T_fb217_row12_col15\" class=\"data row12 col15\" >-2.81</td>\n",
+       "      <td id=\"T_fb217_row12_col16\" class=\"data row12 col16\" >-3.43</td>\n",
+       "      <td id=\"T_fb217_row12_col17\" class=\"data row12 col17\" >-1.94</td>\n",
+       "      <td id=\"T_fb217_row12_col18\" class=\"data row12 col18\" >-38.56%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row13\" class=\"row_heading level0 row13\" >0</th>\n",
+       "      <td id=\"T_fb217_row13_col0\" class=\"data row13 col0\" >NB101</td>\n",
+       "      <td id=\"T_fb217_row13_col1\" class=\"data row13 col1\" >Age ramp with trend overlay</td>\n",
+       "      <td id=\"T_fb217_row13_col2\" class=\"data row13 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row13_col3\" class=\"data row13 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row13_col4\" class=\"data row13 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row13_col5\" class=\"data row13 col5\" >4.86%</td>\n",
+       "      <td id=\"T_fb217_row13_col6\" class=\"data row13 col6\" >-37.89%</td>\n",
+       "      <td id=\"T_fb217_row13_col7\" class=\"data row13 col7\" >-1.37</td>\n",
+       "      <td id=\"T_fb217_row13_col8\" class=\"data row13 col8\" >-1.76</td>\n",
+       "      <td id=\"T_fb217_row13_col9\" class=\"data row13 col9\" >-0.77</td>\n",
+       "      <td id=\"T_fb217_row13_col10\" class=\"data row13 col10\" >-48.89%</td>\n",
+       "      <td id=\"T_fb217_row13_col11\" class=\"data row13 col11\" >-4.31</td>\n",
+       "      <td id=\"T_fb217_row13_col12\" class=\"data row13 col12\" >-1.85</td>\n",
+       "      <td id=\"T_fb217_row13_col13\" class=\"data row13 col13\" >1.52</td>\n",
+       "      <td id=\"T_fb217_row13_col14\" class=\"data row13 col14\" >-10.38%</td>\n",
+       "      <td id=\"T_fb217_row13_col15\" class=\"data row13 col15\" >-0.28</td>\n",
+       "      <td id=\"T_fb217_row13_col16\" class=\"data row13 col16\" >-0.41</td>\n",
+       "      <td id=\"T_fb217_row13_col17\" class=\"data row13 col17\" >-0.59</td>\n",
+       "      <td id=\"T_fb217_row13_col18\" class=\"data row13 col18\" >-17.62%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row14\" class=\"row_heading level0 row14\" >16</th>\n",
+       "      <td id=\"T_fb217_row14_col0\" class=\"data row14 col0\" >NB26</td>\n",
+       "      <td id=\"T_fb217_row14_col1\" class=\"data row14 col1\" >Sortino-based weighting</td>\n",
+       "      <td id=\"T_fb217_row14_col2\" class=\"data row14 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row14_col3\" class=\"data row14 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row14_col4\" class=\"data row14 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row14_col5\" class=\"data row14 col5\" >4.76%</td>\n",
+       "      <td id=\"T_fb217_row14_col6\" class=\"data row14 col6\" >-38.57%</td>\n",
+       "      <td id=\"T_fb217_row14_col7\" class=\"data row14 col7\" >-1.25</td>\n",
+       "      <td id=\"T_fb217_row14_col8\" class=\"data row14 col8\" >-1.58</td>\n",
+       "      <td id=\"T_fb217_row14_col9\" class=\"data row14 col9\" >-0.94</td>\n",
+       "      <td id=\"T_fb217_row14_col10\" class=\"data row14 col10\" >-40.87%</td>\n",
+       "      <td id=\"T_fb217_row14_col11\" class=\"data row14 col11\" >-3.19</td>\n",
+       "      <td id=\"T_fb217_row14_col12\" class=\"data row14 col12\" >-1.31</td>\n",
+       "      <td id=\"T_fb217_row14_col13\" class=\"data row14 col13\" >2.07</td>\n",
+       "      <td id=\"T_fb217_row14_col14\" class=\"data row14 col14\" >-58.49%</td>\n",
+       "      <td id=\"T_fb217_row14_col15\" class=\"data row14 col15\" >-2.09</td>\n",
+       "      <td id=\"T_fb217_row14_col16\" class=\"data row14 col16\" >-2.48</td>\n",
+       "      <td id=\"T_fb217_row14_col17\" class=\"data row14 col17\" >-2.01</td>\n",
+       "      <td id=\"T_fb217_row14_col18\" class=\"data row14 col18\" >-29.14%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row15\" class=\"row_heading level0 row15\" >25</th>\n",
+       "      <td id=\"T_fb217_row15_col0\" class=\"data row15 col0\" >NB64</td>\n",
+       "      <td id=\"T_fb217_row15_col1\" class=\"data row15 col1\" >Threshold-linear allocation</td>\n",
+       "      <td id=\"T_fb217_row15_col2\" class=\"data row15 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row15_col3\" class=\"data row15 col3\" >approximation</td>\n",
+       "      <td id=\"T_fb217_row15_col4\" class=\"data row15 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row15_col5\" class=\"data row15 col5\" >5.28%</td>\n",
+       "      <td id=\"T_fb217_row15_col6\" class=\"data row15 col6\" >-45.22%</td>\n",
+       "      <td id=\"T_fb217_row15_col7\" class=\"data row15 col7\" >-1.44</td>\n",
+       "      <td id=\"T_fb217_row15_col8\" class=\"data row15 col8\" >-1.78</td>\n",
+       "      <td id=\"T_fb217_row15_col9\" class=\"data row15 col9\" >-0.96</td>\n",
+       "      <td id=\"T_fb217_row15_col10\" class=\"data row15 col10\" >-47.22%</td>\n",
+       "      <td id=\"T_fb217_row15_col11\" class=\"data row15 col11\" >-4.00</td>\n",
+       "      <td id=\"T_fb217_row15_col12\" class=\"data row15 col12\" >-1.35</td>\n",
+       "      <td id=\"T_fb217_row15_col13\" class=\"data row15 col13\" >1.30</td>\n",
+       "      <td id=\"T_fb217_row15_col14\" class=\"data row15 col14\" >-73.99%</td>\n",
+       "      <td id=\"T_fb217_row15_col15\" class=\"data row15 col15\" >-2.61</td>\n",
+       "      <td id=\"T_fb217_row15_col16\" class=\"data row15 col16\" >-3.03</td>\n",
+       "      <td id=\"T_fb217_row15_col17\" class=\"data row15 col17\" >-1.93</td>\n",
+       "      <td id=\"T_fb217_row15_col18\" class=\"data row15 col18\" >-38.26%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row16\" class=\"row_heading level0 row16\" >30</th>\n",
+       "      <td id=\"T_fb217_row16_col0\" class=\"data row16 col0\" >NB93</td>\n",
+       "      <td id=\"T_fb217_row16_col1\" class=\"data row16 col1\" >Age-TVL soft prior</td>\n",
+       "      <td id=\"T_fb217_row16_col2\" class=\"data row16 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row16_col3\" class=\"data row16 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row16_col4\" class=\"data row16 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row16_col5\" class=\"data row16 col5\" >5.35%</td>\n",
+       "      <td id=\"T_fb217_row16_col6\" class=\"data row16 col6\" >-46.94%</td>\n",
+       "      <td id=\"T_fb217_row16_col7\" class=\"data row16 col7\" >-1.69</td>\n",
+       "      <td id=\"T_fb217_row16_col8\" class=\"data row16 col8\" >-2.13</td>\n",
+       "      <td id=\"T_fb217_row16_col9\" class=\"data row16 col9\" >-0.92</td>\n",
+       "      <td id=\"T_fb217_row16_col10\" class=\"data row16 col10\" >-51.23%</td>\n",
+       "      <td id=\"T_fb217_row16_col11\" class=\"data row16 col11\" >-4.66</td>\n",
+       "      <td id=\"T_fb217_row16_col12\" class=\"data row16 col12\" >-2.08</td>\n",
+       "      <td id=\"T_fb217_row16_col13\" class=\"data row16 col13\" >0.63</td>\n",
+       "      <td id=\"T_fb217_row16_col14\" class=\"data row16 col14\" >-52.49%</td>\n",
+       "      <td id=\"T_fb217_row16_col15\" class=\"data row16 col15\" >-1.92</td>\n",
+       "      <td id=\"T_fb217_row16_col16\" class=\"data row16 col16\" >-2.46</td>\n",
+       "      <td id=\"T_fb217_row16_col17\" class=\"data row16 col17\" >-2.06</td>\n",
+       "      <td id=\"T_fb217_row16_col18\" class=\"data row16 col18\" >-25.46%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row17\" class=\"row_heading level0 row17\" >2</th>\n",
+       "      <td id=\"T_fb217_row17_col0\" class=\"data row17 col0\" >NB109</td>\n",
+       "      <td id=\"T_fb217_row17_col1\" class=\"data row17 col1\" >Volatility-of-volatility penalty</td>\n",
+       "      <td id=\"T_fb217_row17_col2\" class=\"data row17 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row17_col3\" class=\"data row17 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row17_col4\" class=\"data row17 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row17_col5\" class=\"data row17 col5\" >4.68%</td>\n",
+       "      <td id=\"T_fb217_row17_col6\" class=\"data row17 col6\" >-47.87%</td>\n",
+       "      <td id=\"T_fb217_row17_col7\" class=\"data row17 col7\" >-2.18</td>\n",
+       "      <td id=\"T_fb217_row17_col8\" class=\"data row17 col8\" >-2.60</td>\n",
+       "      <td id=\"T_fb217_row17_col9\" class=\"data row17 col9\" >-0.90</td>\n",
+       "      <td id=\"T_fb217_row17_col10\" class=\"data row17 col10\" >-53.43%</td>\n",
+       "      <td id=\"T_fb217_row17_col11\" class=\"data row17 col11\" >-4.74</td>\n",
+       "      <td id=\"T_fb217_row17_col12\" class=\"data row17 col12\" >-2.75</td>\n",
+       "      <td id=\"T_fb217_row17_col13\" class=\"data row17 col13\" >0.68</td>\n",
+       "      <td id=\"T_fb217_row17_col14\" class=\"data row17 col14\" >-51.21%</td>\n",
+       "      <td id=\"T_fb217_row17_col15\" class=\"data row17 col15\" >-2.52</td>\n",
+       "      <td id=\"T_fb217_row17_col16\" class=\"data row17 col16\" >-2.93</td>\n",
+       "      <td id=\"T_fb217_row17_col17\" class=\"data row17 col17\" >-1.77</td>\n",
+       "      <td id=\"T_fb217_row17_col18\" class=\"data row17 col18\" >-29.00%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row18\" class=\"row_heading level0 row18\" >5</th>\n",
+       "      <td id=\"T_fb217_row18_col0\" class=\"data row18 col0\" >NB130</td>\n",
+       "      <td id=\"T_fb217_row18_col1\" class=\"data row18 col1\" >Survivor-first renormalisation</td>\n",
+       "      <td id=\"T_fb217_row18_col2\" class=\"data row18 col2\" >allocator</td>\n",
+       "      <td id=\"T_fb217_row18_col3\" class=\"data row18 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row18_col4\" class=\"data row18 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row18_col5\" class=\"data row18 col5\" >5.43%</td>\n",
+       "      <td id=\"T_fb217_row18_col6\" class=\"data row18 col6\" >-49.66%</td>\n",
+       "      <td id=\"T_fb217_row18_col7\" class=\"data row18 col7\" >-2.13</td>\n",
+       "      <td id=\"T_fb217_row18_col8\" class=\"data row18 col8\" >-2.62</td>\n",
+       "      <td id=\"T_fb217_row18_col9\" class=\"data row18 col9\" >-0.93</td>\n",
+       "      <td id=\"T_fb217_row18_col10\" class=\"data row18 col10\" >-53.55%</td>\n",
+       "      <td id=\"T_fb217_row18_col11\" class=\"data row18 col11\" >-4.61</td>\n",
+       "      <td id=\"T_fb217_row18_col12\" class=\"data row18 col12\" >-2.37</td>\n",
+       "      <td id=\"T_fb217_row18_col13\" class=\"data row18 col13\" >1.70</td>\n",
+       "      <td id=\"T_fb217_row18_col14\" class=\"data row18 col14\" >-71.62%</td>\n",
+       "      <td id=\"T_fb217_row18_col15\" class=\"data row18 col15\" >-3.38</td>\n",
+       "      <td id=\"T_fb217_row18_col16\" class=\"data row18 col16\" >-4.00</td>\n",
+       "      <td id=\"T_fb217_row18_col17\" class=\"data row18 col17\" >-1.95</td>\n",
+       "      <td id=\"T_fb217_row18_col18\" class=\"data row18 col18\" >-36.72%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row19\" class=\"row_heading level0 row19\" >14</th>\n",
+       "      <td id=\"T_fb217_row19_col0\" class=\"data row19 col0\" >NB23b</td>\n",
+       "      <td id=\"T_fb217_row19_col1\" class=\"data row19 col1\" >Log-signal weighting</td>\n",
+       "      <td id=\"T_fb217_row19_col2\" class=\"data row19 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row19_col3\" class=\"data row19 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row19_col4\" class=\"data row19 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row19_col5\" class=\"data row19 col5\" >5.69%</td>\n",
+       "      <td id=\"T_fb217_row19_col6\" class=\"data row19 col6\" >-52.62%</td>\n",
+       "      <td id=\"T_fb217_row19_col7\" class=\"data row19 col7\" >-1.98</td>\n",
+       "      <td id=\"T_fb217_row19_col8\" class=\"data row19 col8\" >-2.47</td>\n",
+       "      <td id=\"T_fb217_row19_col9\" class=\"data row19 col9\" >-0.90</td>\n",
+       "      <td id=\"T_fb217_row19_col10\" class=\"data row19 col10\" >-58.19%</td>\n",
+       "      <td id=\"T_fb217_row19_col11\" class=\"data row19 col11\" >-4.69</td>\n",
+       "      <td id=\"T_fb217_row19_col12\" class=\"data row19 col12\" >-2.26</td>\n",
+       "      <td id=\"T_fb217_row19_col13\" class=\"data row19 col13\" >1.38</td>\n",
+       "      <td id=\"T_fb217_row19_col14\" class=\"data row19 col14\" >-71.40%</td>\n",
+       "      <td id=\"T_fb217_row19_col15\" class=\"data row19 col15\" >-3.37</td>\n",
+       "      <td id=\"T_fb217_row19_col16\" class=\"data row19 col16\" >-3.99</td>\n",
+       "      <td id=\"T_fb217_row19_col17\" class=\"data row19 col17\" >-1.95</td>\n",
+       "      <td id=\"T_fb217_row19_col18\" class=\"data row19 col18\" >-36.52%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row20\" class=\"row_heading level0 row20\" >3</th>\n",
+       "      <td id=\"T_fb217_row20_col0\" class=\"data row20 col0\" >NB116</td>\n",
+       "      <td id=\"T_fb217_row20_col1\" class=\"data row20 col1\" >Sharpe-optimised age buckets</td>\n",
+       "      <td id=\"T_fb217_row20_col2\" class=\"data row20 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row20_col3\" class=\"data row20 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row20_col4\" class=\"data row20 col4\" >10</td>\n",
+       "      <td id=\"T_fb217_row20_col5\" class=\"data row20 col5\" >6.03%</td>\n",
+       "      <td id=\"T_fb217_row20_col6\" class=\"data row20 col6\" >-52.97%</td>\n",
+       "      <td id=\"T_fb217_row20_col7\" class=\"data row20 col7\" >-1.30</td>\n",
+       "      <td id=\"T_fb217_row20_col8\" class=\"data row20 col8\" >-1.55</td>\n",
+       "      <td id=\"T_fb217_row20_col9\" class=\"data row20 col9\" >-0.83</td>\n",
+       "      <td id=\"T_fb217_row20_col10\" class=\"data row20 col10\" >-63.51%</td>\n",
+       "      <td id=\"T_fb217_row20_col11\" class=\"data row20 col11\" >-4.13</td>\n",
+       "      <td id=\"T_fb217_row20_col12\" class=\"data row20 col12\" >-1.73</td>\n",
+       "      <td id=\"T_fb217_row20_col13\" class=\"data row20 col13\" >1.59</td>\n",
+       "      <td id=\"T_fb217_row20_col14\" class=\"data row20 col14\" >-74.32%</td>\n",
+       "      <td id=\"T_fb217_row20_col15\" class=\"data row20 col15\" >-1.91</td>\n",
+       "      <td id=\"T_fb217_row20_col16\" class=\"data row20 col16\" >-2.17</td>\n",
+       "      <td id=\"T_fb217_row20_col17\" class=\"data row20 col17\" >-1.50</td>\n",
+       "      <td id=\"T_fb217_row20_col18\" class=\"data row20 col18\" >-49.56%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row21\" class=\"row_heading level0 row21\" >29</th>\n",
+       "      <td id=\"T_fb217_row21_col0\" class=\"data row21 col0\" >NB88</td>\n",
+       "      <td id=\"T_fb217_row21_col1\" class=\"data row21 col1\" >Age-ramp weighting</td>\n",
+       "      <td id=\"T_fb217_row21_col2\" class=\"data row21 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row21_col3\" class=\"data row21 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row21_col4\" class=\"data row21 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row21_col5\" class=\"data row21 col5\" >5.52%</td>\n",
+       "      <td id=\"T_fb217_row21_col6\" class=\"data row21 col6\" >-53.11%</td>\n",
+       "      <td id=\"T_fb217_row21_col7\" class=\"data row21 col7\" >-2.01</td>\n",
+       "      <td id=\"T_fb217_row21_col8\" class=\"data row21 col8\" >-2.50</td>\n",
+       "      <td id=\"T_fb217_row21_col9\" class=\"data row21 col9\" >-0.91</td>\n",
+       "      <td id=\"T_fb217_row21_col10\" class=\"data row21 col10\" >-58.65%</td>\n",
+       "      <td id=\"T_fb217_row21_col11\" class=\"data row21 col11\" >-4.66</td>\n",
+       "      <td id=\"T_fb217_row21_col12\" class=\"data row21 col12\" >-2.29</td>\n",
+       "      <td id=\"T_fb217_row21_col13\" class=\"data row21 col13\" >1.36</td>\n",
+       "      <td id=\"T_fb217_row21_col14\" class=\"data row21 col14\" >-71.66%</td>\n",
+       "      <td id=\"T_fb217_row21_col15\" class=\"data row21 col15\" >-3.37</td>\n",
+       "      <td id=\"T_fb217_row21_col16\" class=\"data row21 col16\" >-3.99</td>\n",
+       "      <td id=\"T_fb217_row21_col17\" class=\"data row21 col17\" >-1.95</td>\n",
+       "      <td id=\"T_fb217_row21_col18\" class=\"data row21 col18\" >-36.72%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row22\" class=\"row_heading level0 row22\" >1</th>\n",
+       "      <td id=\"T_fb217_row22_col0\" class=\"data row22 col0\" >NB102</td>\n",
+       "      <td id=\"T_fb217_row22_col1\" class=\"data row22 col1\" >Age-bucket equal weight</td>\n",
+       "      <td id=\"T_fb217_row22_col2\" class=\"data row22 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row22_col3\" class=\"data row22 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row22_col4\" class=\"data row22 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row22_col5\" class=\"data row22 col5\" >6.01%</td>\n",
+       "      <td id=\"T_fb217_row22_col6\" class=\"data row22 col6\" >-53.24%</td>\n",
+       "      <td id=\"T_fb217_row22_col7\" class=\"data row22 col7\" >-1.47</td>\n",
+       "      <td id=\"T_fb217_row22_col8\" class=\"data row22 col8\" >-1.80</td>\n",
+       "      <td id=\"T_fb217_row22_col9\" class=\"data row22 col9\" >-0.87</td>\n",
+       "      <td id=\"T_fb217_row22_col10\" class=\"data row22 col10\" >-61.43%</td>\n",
+       "      <td id=\"T_fb217_row22_col11\" class=\"data row22 col11\" >-4.41</td>\n",
+       "      <td id=\"T_fb217_row22_col12\" class=\"data row22 col12\" >-1.50</td>\n",
+       "      <td id=\"T_fb217_row22_col13\" class=\"data row22 col13\" >2.72</td>\n",
+       "      <td id=\"T_fb217_row22_col14\" class=\"data row22 col14\" >-82.78%</td>\n",
+       "      <td id=\"T_fb217_row22_col15\" class=\"data row22 col15\" >-2.79</td>\n",
+       "      <td id=\"T_fb217_row22_col16\" class=\"data row22 col16\" >-3.24</td>\n",
+       "      <td id=\"T_fb217_row22_col17\" class=\"data row22 col17\" >-1.66</td>\n",
+       "      <td id=\"T_fb217_row22_col18\" class=\"data row22 col18\" >-49.81%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row23\" class=\"row_heading level0 row23\" >6</th>\n",
+       "      <td id=\"T_fb217_row23_col0\" class=\"data row23 col0\" >NB131</td>\n",
+       "      <td id=\"T_fb217_row23_col1\" class=\"data row23 col1\" >Age-ramp selection with equal deployment</td>\n",
+       "      <td id=\"T_fb217_row23_col2\" class=\"data row23 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row23_col3\" class=\"data row23 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row23_col4\" class=\"data row23 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row23_col5\" class=\"data row23 col5\" >6.05%</td>\n",
+       "      <td id=\"T_fb217_row23_col6\" class=\"data row23 col6\" >-53.66%</td>\n",
+       "      <td id=\"T_fb217_row23_col7\" class=\"data row23 col7\" >-2.00</td>\n",
+       "      <td id=\"T_fb217_row23_col8\" class=\"data row23 col8\" >-2.51</td>\n",
+       "      <td id=\"T_fb217_row23_col9\" class=\"data row23 col9\" >-0.91</td>\n",
+       "      <td id=\"T_fb217_row23_col10\" class=\"data row23 col10\" >-58.70%</td>\n",
+       "      <td id=\"T_fb217_row23_col11\" class=\"data row23 col11\" >-4.80</td>\n",
+       "      <td id=\"T_fb217_row23_col12\" class=\"data row23 col12\" >-2.42</td>\n",
+       "      <td id=\"T_fb217_row23_col13\" class=\"data row23 col13\" >1.60</td>\n",
+       "      <td id=\"T_fb217_row23_col14\" class=\"data row23 col14\" >-65.01%</td>\n",
+       "      <td id=\"T_fb217_row23_col15\" class=\"data row23 col15\" >-2.72</td>\n",
+       "      <td id=\"T_fb217_row23_col16\" class=\"data row23 col16\" >-3.37</td>\n",
+       "      <td id=\"T_fb217_row23_col17\" class=\"data row23 col17\" >-2.02</td>\n",
+       "      <td id=\"T_fb217_row23_col18\" class=\"data row23 col18\" >-32.19%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row24\" class=\"row_heading level0 row24\" >13</th>\n",
+       "      <td id=\"T_fb217_row24_col0\" class=\"data row24 col0\" >NB23a</td>\n",
+       "      <td id=\"T_fb217_row24_col1\" class=\"data row24 col1\" >Equal weight</td>\n",
+       "      <td id=\"T_fb217_row24_col2\" class=\"data row24 col2\" >weight</td>\n",
+       "      <td id=\"T_fb217_row24_col3\" class=\"data row24 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row24_col4\" class=\"data row24 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row24_col5\" class=\"data row24 col5\" >6.05%</td>\n",
+       "      <td id=\"T_fb217_row24_col6\" class=\"data row24 col6\" >-53.66%</td>\n",
+       "      <td id=\"T_fb217_row24_col7\" class=\"data row24 col7\" >-2.00</td>\n",
+       "      <td id=\"T_fb217_row24_col8\" class=\"data row24 col8\" >-2.51</td>\n",
+       "      <td id=\"T_fb217_row24_col9\" class=\"data row24 col9\" >-0.91</td>\n",
+       "      <td id=\"T_fb217_row24_col10\" class=\"data row24 col10\" >-58.70%</td>\n",
+       "      <td id=\"T_fb217_row24_col11\" class=\"data row24 col11\" >-4.80</td>\n",
+       "      <td id=\"T_fb217_row24_col12\" class=\"data row24 col12\" >-2.42</td>\n",
+       "      <td id=\"T_fb217_row24_col13\" class=\"data row24 col13\" >1.60</td>\n",
+       "      <td id=\"T_fb217_row24_col14\" class=\"data row24 col14\" >-65.01%</td>\n",
+       "      <td id=\"T_fb217_row24_col15\" class=\"data row24 col15\" >-2.72</td>\n",
+       "      <td id=\"T_fb217_row24_col16\" class=\"data row24 col16\" >-3.37</td>\n",
+       "      <td id=\"T_fb217_row24_col17\" class=\"data row24 col17\" >-2.02</td>\n",
+       "      <td id=\"T_fb217_row24_col18\" class=\"data row24 col18\" >-32.19%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row25\" class=\"row_heading level0 row25\" >7</th>\n",
+       "      <td id=\"T_fb217_row25_col0\" class=\"data row25 col0\" >NB142</td>\n",
+       "      <td id=\"T_fb217_row25_col1\" class=\"data row25 col1\" >Equal-weight recycle</td>\n",
+       "      <td id=\"T_fb217_row25_col2\" class=\"data row25 col2\" >allocator</td>\n",
+       "      <td id=\"T_fb217_row25_col3\" class=\"data row25 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row25_col4\" class=\"data row25 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row25_col5\" class=\"data row25 col5\" >6.06%</td>\n",
+       "      <td id=\"T_fb217_row25_col6\" class=\"data row25 col6\" >-53.75%</td>\n",
+       "      <td id=\"T_fb217_row25_col7\" class=\"data row25 col7\" >-2.00</td>\n",
+       "      <td id=\"T_fb217_row25_col8\" class=\"data row25 col8\" >-2.51</td>\n",
+       "      <td id=\"T_fb217_row25_col9\" class=\"data row25 col9\" >-0.91</td>\n",
+       "      <td id=\"T_fb217_row25_col10\" class=\"data row25 col10\" >-58.77%</td>\n",
+       "      <td id=\"T_fb217_row25_col11\" class=\"data row25 col11\" >-4.80</td>\n",
+       "      <td id=\"T_fb217_row25_col12\" class=\"data row25 col12\" >-2.41</td>\n",
+       "      <td id=\"T_fb217_row25_col13\" class=\"data row25 col13\" >1.60</td>\n",
+       "      <td id=\"T_fb217_row25_col14\" class=\"data row25 col14\" >-65.08%</td>\n",
+       "      <td id=\"T_fb217_row25_col15\" class=\"data row25 col15\" >-2.71</td>\n",
+       "      <td id=\"T_fb217_row25_col16\" class=\"data row25 col16\" >-3.37</td>\n",
+       "      <td id=\"T_fb217_row25_col17\" class=\"data row25 col17\" >-2.02</td>\n",
+       "      <td id=\"T_fb217_row25_col18\" class=\"data row25 col18\" >-32.21%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row26\" class=\"row_heading level0 row26\" >10</th>\n",
+       "      <td id=\"T_fb217_row26_col0\" class=\"data row26 col0\" >NB152</td>\n",
+       "      <td id=\"T_fb217_row26_col1\" class=\"data row26 col1\" >Equal-weight recycle with minimum hold</td>\n",
+       "      <td id=\"T_fb217_row26_col2\" class=\"data row26 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row26_col3\" class=\"data row26 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row26_col4\" class=\"data row26 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row26_col5\" class=\"data row26 col5\" >6.06%</td>\n",
+       "      <td id=\"T_fb217_row26_col6\" class=\"data row26 col6\" >-53.75%</td>\n",
+       "      <td id=\"T_fb217_row26_col7\" class=\"data row26 col7\" >-2.00</td>\n",
+       "      <td id=\"T_fb217_row26_col8\" class=\"data row26 col8\" >-2.51</td>\n",
+       "      <td id=\"T_fb217_row26_col9\" class=\"data row26 col9\" >-0.91</td>\n",
+       "      <td id=\"T_fb217_row26_col10\" class=\"data row26 col10\" >-58.77%</td>\n",
+       "      <td id=\"T_fb217_row26_col11\" class=\"data row26 col11\" >-4.80</td>\n",
+       "      <td id=\"T_fb217_row26_col12\" class=\"data row26 col12\" >-2.41</td>\n",
+       "      <td id=\"T_fb217_row26_col13\" class=\"data row26 col13\" >1.60</td>\n",
+       "      <td id=\"T_fb217_row26_col14\" class=\"data row26 col14\" >-65.08%</td>\n",
+       "      <td id=\"T_fb217_row26_col15\" class=\"data row26 col15\" >-2.71</td>\n",
+       "      <td id=\"T_fb217_row26_col16\" class=\"data row26 col16\" >-3.37</td>\n",
+       "      <td id=\"T_fb217_row26_col17\" class=\"data row26 col17\" >-2.02</td>\n",
+       "      <td id=\"T_fb217_row26_col18\" class=\"data row26 col18\" >-32.21%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row27\" class=\"row_heading level0 row27\" >9</th>\n",
+       "      <td id=\"T_fb217_row27_col0\" class=\"data row27 col0\" >NB144</td>\n",
+       "      <td id=\"T_fb217_row27_col1\" class=\"data row27 col1\" >Capacity-aware equal weight</td>\n",
+       "      <td id=\"T_fb217_row27_col2\" class=\"data row27 col2\" >allocator</td>\n",
+       "      <td id=\"T_fb217_row27_col3\" class=\"data row27 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row27_col4\" class=\"data row27 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row27_col5\" class=\"data row27 col5\" >6.21%</td>\n",
+       "      <td id=\"T_fb217_row27_col6\" class=\"data row27 col6\" >-55.19%</td>\n",
+       "      <td id=\"T_fb217_row27_col7\" class=\"data row27 col7\" >-2.00</td>\n",
+       "      <td id=\"T_fb217_row27_col8\" class=\"data row27 col8\" >-2.51</td>\n",
+       "      <td id=\"T_fb217_row27_col9\" class=\"data row27 col9\" >-0.92</td>\n",
+       "      <td id=\"T_fb217_row27_col10\" class=\"data row27 col10\" >-60.14%</td>\n",
+       "      <td id=\"T_fb217_row27_col11\" class=\"data row27 col11\" >-4.80</td>\n",
+       "      <td id=\"T_fb217_row27_col12\" class=\"data row27 col12\" >-2.41</td>\n",
+       "      <td id=\"T_fb217_row27_col13\" class=\"data row27 col13\" >1.60</td>\n",
+       "      <td id=\"T_fb217_row27_col14\" class=\"data row27 col14\" >-68.24%</td>\n",
+       "      <td id=\"T_fb217_row27_col15\" class=\"data row27 col15\" >-2.68</td>\n",
+       "      <td id=\"T_fb217_row27_col16\" class=\"data row27 col16\" >-3.31</td>\n",
+       "      <td id=\"T_fb217_row27_col17\" class=\"data row27 col17\" >-1.97</td>\n",
+       "      <td id=\"T_fb217_row27_col18\" class=\"data row27 col18\" >-34.55%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row28\" class=\"row_heading level0 row28\" >8</th>\n",
+       "      <td id=\"T_fb217_row28_col0\" class=\"data row28 col0\" >NB143</td>\n",
+       "      <td id=\"T_fb217_row28_col1\" class=\"data row28 col1\" >Capped survivor-first waterfall</td>\n",
+       "      <td id=\"T_fb217_row28_col2\" class=\"data row28 col2\" >allocator</td>\n",
+       "      <td id=\"T_fb217_row28_col3\" class=\"data row28 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row28_col4\" class=\"data row28 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row28_col5\" class=\"data row28 col5\" >7.59%</td>\n",
+       "      <td id=\"T_fb217_row28_col6\" class=\"data row28 col6\" >-68.91%</td>\n",
+       "      <td id=\"T_fb217_row28_col7\" class=\"data row28 col7\" >-2.25</td>\n",
+       "      <td id=\"T_fb217_row28_col8\" class=\"data row28 col8\" >-2.66</td>\n",
+       "      <td id=\"T_fb217_row28_col9\" class=\"data row28 col9\" >-0.94</td>\n",
+       "      <td id=\"T_fb217_row28_col10\" class=\"data row28 col10\" >-73.27%</td>\n",
+       "      <td id=\"T_fb217_row28_col11\" class=\"data row28 col11\" >-5.04</td>\n",
+       "      <td id=\"T_fb217_row28_col12\" class=\"data row28 col12\" >-2.53</td>\n",
+       "      <td id=\"T_fb217_row28_col13\" class=\"data row28 col13\" >1.17</td>\n",
+       "      <td id=\"T_fb217_row28_col14\" class=\"data row28 col14\" >-86.80%</td>\n",
+       "      <td id=\"T_fb217_row28_col15\" class=\"data row28 col15\" >-3.53</td>\n",
+       "      <td id=\"T_fb217_row28_col16\" class=\"data row28 col16\" >-4.09</td>\n",
+       "      <td id=\"T_fb217_row28_col17\" class=\"data row28 col17\" >-1.65</td>\n",
+       "      <td id=\"T_fb217_row28_col18\" class=\"data row28 col18\" >-52.75%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row29\" class=\"row_heading level0 row29\" >15</th>\n",
+       "      <td id=\"T_fb217_row29_col0\" class=\"data row29 col0\" >NB24</td>\n",
+       "      <td id=\"T_fb217_row29_col1\" class=\"data row29 col1\" >Signal-ranked waterfall</td>\n",
+       "      <td id=\"T_fb217_row29_col2\" class=\"data row29 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row29_col3\" class=\"data row29 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row29_col4\" class=\"data row29 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row29_col5\" class=\"data row29 col5\" >7.59%</td>\n",
+       "      <td id=\"T_fb217_row29_col6\" class=\"data row29 col6\" >-68.91%</td>\n",
+       "      <td id=\"T_fb217_row29_col7\" class=\"data row29 col7\" >-2.25</td>\n",
+       "      <td id=\"T_fb217_row29_col8\" class=\"data row29 col8\" >-2.66</td>\n",
+       "      <td id=\"T_fb217_row29_col9\" class=\"data row29 col9\" >-0.94</td>\n",
+       "      <td id=\"T_fb217_row29_col10\" class=\"data row29 col10\" >-73.27%</td>\n",
+       "      <td id=\"T_fb217_row29_col11\" class=\"data row29 col11\" >-5.04</td>\n",
+       "      <td id=\"T_fb217_row29_col12\" class=\"data row29 col12\" >-2.53</td>\n",
+       "      <td id=\"T_fb217_row29_col13\" class=\"data row29 col13\" >1.17</td>\n",
+       "      <td id=\"T_fb217_row29_col14\" class=\"data row29 col14\" >-86.80%</td>\n",
+       "      <td id=\"T_fb217_row29_col15\" class=\"data row29 col15\" >-3.53</td>\n",
+       "      <td id=\"T_fb217_row29_col16\" class=\"data row29 col16\" >-4.09</td>\n",
+       "      <td id=\"T_fb217_row29_col17\" class=\"data row29 col17\" >-1.65</td>\n",
+       "      <td id=\"T_fb217_row29_col18\" class=\"data row29 col18\" >-52.75%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_fb217_level0_row30\" class=\"row_heading level0 row30\" >11</th>\n",
+       "      <td id=\"T_fb217_row30_col0\" class=\"data row30 col0\" >NB158</td>\n",
+       "      <td id=\"T_fb217_row30_col1\" class=\"data row30 col1\" >Waterfall release candidate</td>\n",
+       "      <td id=\"T_fb217_row30_col2\" class=\"data row30 col2\" >combined</td>\n",
+       "      <td id=\"T_fb217_row30_col3\" class=\"data row30 col3\" >historical_overlap</td>\n",
+       "      <td id=\"T_fb217_row30_col4\" class=\"data row30 col4\" >9</td>\n",
+       "      <td id=\"T_fb217_row30_col5\" class=\"data row30 col5\" >7.63%</td>\n",
+       "      <td id=\"T_fb217_row30_col6\" class=\"data row30 col6\" >-70.97%</td>\n",
+       "      <td id=\"T_fb217_row30_col7\" class=\"data row30 col7\" >-2.41</td>\n",
+       "      <td id=\"T_fb217_row30_col8\" class=\"data row30 col8\" >-2.82</td>\n",
+       "      <td id=\"T_fb217_row30_col9\" class=\"data row30 col9\" >-0.97</td>\n",
+       "      <td id=\"T_fb217_row30_col10\" class=\"data row30 col10\" >-73.27%</td>\n",
+       "      <td id=\"T_fb217_row30_col11\" class=\"data row30 col11\" >-5.04</td>\n",
+       "      <td id=\"T_fb217_row30_col12\" class=\"data row30 col12\" >-2.55</td>\n",
+       "      <td id=\"T_fb217_row30_col13\" class=\"data row30 col13\" >1.17</td>\n",
+       "      <td id=\"T_fb217_row30_col14\" class=\"data row30 col14\" >-89.16%</td>\n",
+       "      <td id=\"T_fb217_row30_col15\" class=\"data row30 col15\" >-3.94</td>\n",
+       "      <td id=\"T_fb217_row30_col16\" class=\"data row30 col16\" >-4.50</td>\n",
+       "      <td id=\"T_fb217_row30_col17\" class=\"data row30 col17\" >-1.69</td>\n",
+       "      <td id=\"T_fb217_row30_col18\" class=\"data row30 col18\" >-52.75%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x12629f390>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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46ULRgN3hnn6fc8ZJJluDG4M9QXSH58OAGLtdkpISZIbnPnzz/S8m37fSAIQGV2LsNkkMEFz2lXN4gm5ffr1U3pk6R3S+aA3qzZq72LhrmdnzvxMNEGlwWKf6OepvB5t5zs+9/E4zpY6WCXZxeALBeq1fVv7lP2Xn7j2iaTffO0Yee/Zt0WO9r9p+ndqnpO3W7bul1xV3iQa3dbT82d1O8HxQsVsmffiFqSM3r8Bfb6Cd445qb5K/WPiDbNrivacmoYrV1bc+JhrI1tHF+lpTi0F3jvJ/IKOnq78GDNu0bO75QOokyWjaRD6e87V5JkHJa+m0Sdrf/3g+JNHA2VueYLW+vtdv2mr6rnkaYNUgrfZHp7jQYLsGPnWEvl5LF/3QRYOieo+dHlff1EsamAs0b7WeU3KprB1qr+3Q/qrxsUcdKt/88KvcdM/T/ucbFHo+PNm9Z6+pMjcv39yHbTt2S/beXJOmQdqS8+Fr4uOeDy0efHK8bNyyXXr3PEXSm6SI9r/fsHmRzwAAEABJREFUdQ/4PxTSOfY1aKvecXGxZkop/XBt6swFMumjuVpNgy3f//S7zPIE+jT4N8cTRD24bWvPPcs2r437nnjV3y59DavfM6++L70H3G3mX//c85r76ddVpszjQThoIFNd9QR9/1Fb39RVJW1dLrex13JaXsvpom3QNL0f+jrcm5snJx37N+nR9TjPh6Xb5dExb8mYl9/TIqUWDeY/++oHkuv5XvK99i4bPEL0NVGqYJkDfV/SQKi+TvR9Qs/93NNn/bBEv2/LFC93ODvI95mVq9eb73X92VCykk1bd5r0nbv2mGS1yvW8LvVAPXyL0/O+qWllF/1QTe/Zxs07/Fn6bAL9oGLO/O/lwANam6nO9HtRn/Wg37O+gpV9L03/bJH5cGbp8lVybMf20sHz81M/CFBn/R721RFo66tXf17o94N+P1b0/hNsW0PhV9nPjOq+3kr2O9A9eMTzgeTjnu+XbTt3y5meD8P1/VXt9X3Od26wfa/Oz15f3WwRQACByBKgtQgggAACCCCAQMMJEHCvgf3XnmCuBi/+8ffTxLIsOe2kjqYWDQg7KghgmAK1WOkITX14qgZiNdj81EM31aK28qfqaHpNXRrgYa6ZzZtqlvgeCri9OIiTmpJk0n0ry7IkIz3VE/DK8iVVulWrh5+aYMq89MRt8s7z95lpDBZNf86MqjcZJVZaRvNefvJ2GfXgYJnx1uPS/dRjzQjbv9ZuNiX/ecGZZjt5eum5x9//+EuTfsk/ephtVSudLkgDQq8/fbfMn/qMvPnsvaJBrUc9AQ/xfE2f8H+eNtxo2vv8/w31pIiMevFdsw3FSoPsOp3Q55NHi/7Vwo1X/8NUO3v+ErPV1VPjJnsCgfly++BL5INXHxZ9Tcx65wkzxY/mV7W0btlMjut4mCfguE3O+ud/RF9jGijUALoGiio6X4OUcyaPMtf8dOKT0vnYI0wdOpLZd87Ay88382y/+ex/PU6Dzb3VqXP0+0ZH3/rK+bYaPH9g2FWeezpStM/dTz3Ol+X5UOsgef+VEaJ9++TNkWb6Is3UkZ661eX58VPN8wYevfvfMvPtx0WnXlo84wXRQOerEz8RHSWu5apaArXjlBOOki+mPGX6q8b6Opz04oOmKv2wQ3f0g6IRd1yru6J91yl5dNHnIJjEMqtVf20Qbb9+cKZ9euye6+TdFx8Q/esUHQX9ztTZ5owfl600wd3zz+5ipvnRfum91uufdMzfTJmGXt026J/y42cvm/arkwZBP/r0K1m3sfQHb7+uXCP6rAd1+fKDMXLLwIslWIfht/3LTKWlfdW+ax0j7rhGD0stKcmJovmaqM+X0HK6jH/qLk2SzGZNZdprj5jX2HOP3ipjRgyR2ZP+Z9639KHGplCJ1VGHl37t/WdQf5P7xuRPzTbQav2mbeYvb/TeLpz2rOf1f6O5d/qsCy0//t0ZuqlwqYv3GX3d6Pe6XlQ9fEvb/YKbo13fqx8a9bqeLh+Of0TeeOYeM9WZvg9q4tMvT9FNqSXQ99JbH3hf15M8r3W11+nS9LWg72EaQC9VQQUHVb3/1KStFVzKnxyM35Ztu8yHCCV/ZlT39ea/YIAdfe+c4vm5pt9fMz0/+7RN+v6q33OX9TnLnBFs37VcdX72mspZIYAAAggggAACCCCAAAIIBC1gAu5Bl6agEdARkrqjo111q4GC83qcbEZ36ugyTQv14nA6/EFoDVgu/vG3kF6iy/FHmvqe8wQuX3nnE9Hg2Pc/rzQP2fuseIqYuOLpY7L2eEfy6khbc1KJlQbhNTDgdHqn8dDgrU6ZUnLRqQH0lFV/bRQdKarB5VNPPEqTzBJjt0ugh0tqAMtm2USDdPMWLZVpsxaIZbPMORrk0p1jj2pvgqw68tYXZNVRwjoaWKfG6XJ8By1W5aKjUjUgpIFU/RBBA7e//P6XCepe3vdsOahta38dp3fpJHrd+d/8LHuKRzT7M2u4c3nfs0pNJ9SjeKqfTcUj0XUk77RZC81r4sqLepa6SlJiQqnjyg6evP8G86GFllEzHdGvI81PPn+wufdqp3kll5uv6SutMjNMkt6rs08/wexv3rrTbHWlo511nm1tr74GNADrux9rywRitfwr/7td+ns+LNEAoAaUSk6X1LdXVzn8kAO0mFmuvNjb329/+NUcq4UGS/X+nnfWyWY6IX39xcfFiT6LQAv9ucY7/7fuV7YEaoe2p0XzdNFR1t///LsZ1e0bnb167cbKqqsw74uvfjR511/ZW/R7xhx4Vtdd0duzFvlkzjdma7PbzHbX7mxzfXPgWenIYB0V79mt8J/+JY6+7muy6KjxCisukaGvtX9dcq5/ail18r0ef/51dYmSIhqY12c96Pdxs6ZNpHWLDAnWoVRFtThITIiTQw/az0xfsmzFapkz/3szBVbTtFTz4ZXe45LVl33t+QKbi75bXrJYqf3Z878zx+qi91Zfi7p0P+04k+6b5sUcBFjV5/tMgMsHTPp15VrR92r9HtXR7dofXfT7Vd/7fv9zveh0JyVPDvS9pO8XWqbkX+roPbm6/99F74HmVbVU9f5Tk7ZWdc1g8gP9zNC+Vef1Fsx19Pt6sye47yur33P6QZYeB9v36v7s1bpZEEAAAQSiS4DeIIAAAggggEDdCtjqtvroqz03r0A0eKiBJn0A4uq1m0QXneZEe6vTmeg21IsGf3WEr44s3r91c7l35Cuif84fqutoAFkfkKr90vmSde7wK29+RHQ6jp2eYJ9ep5UnQKZbDSLptsjh0E2pReez1QRfwHzhkmXmQa46nYRv0QCglvHNe64jUfW4qkUDWaf3HSIXXP1f0elV1GCOJ2Cm57ncbt2YvzjwBWQ1IK2Js79cYoJpA/r1FFtxgF7TK1uSEhPLZa/fuM2k/e3QfcFfk+BZHXnYgZ61yMbN28021KsmqcmmSp26RHe2bN+lG+l4xMEBP5wwmUGsNJis911HmepI/VsGXiTdTu5kztR7/0CJqUFMYoBVWqr3WQIaCPJl64ci+hrSkfMawL/r0ZdEP8jRfFfxhzG671sSE+N9u1Vu9YOeww7e34yq12C7z0I/dOnU41o5usc1/kU/6NEKfX+dofuVLYHaoUHYYQ8+L6f0vlF0OiHdf/ipNyqrpso8HcWuhQ49cD/d+Bcdoa0f7ugHXpqoo5Iz0lNF58nW6+t8y2MnTBOdEkTzK1ty8wtk+P/G12gpO/1NZdcpm6fvJZq2edu+6Uj0OCnAPQ7WQc8PxaJB4udfnybHn3OdmTtf5yPXaX00mKz1u13e9xHdD7Toe37J116gMr4+6dzdJV+Lev+0/IbN3vcR3Q+0NOT7TKD2aNq64mnCdLqqkn3Sfd/PId8Halpel0DfS/pXYZqn7986vc59j78qny/8QUo8tFOzq7WUff+pSVurdcEKCgf6mVHb11vJSyV5PkjVv3TRn8fnXn6HXDp4hDz+3Dvmw3FfuWD7vnbDFnNKsD97TWFWCCCAAAIIIIAAAggggAACQQsQcK+SqnSB+d8sNQm5efly/oC7/YsGqTVDR6b6gs56HOpFRxb/+/LeptpF3/1itqFa6fQsGtDXAOxDt18jGoDVKRH2b51pLuEbgaijUzUhzxPQ023JJXtvnhl17Uu7vO/ZMnHs/aWWh4ungtiT7Z3f2heg850TaKujpG+57xnJLyiSO268VHx/Sn/vrVeWK96rx8kmTR+EqAGPdz/8whyff/YpZlvTVX5hoTk1NibGbEuuYmPs5rDsKE+TGIKV3Vb6W7WoqMjUmpObb7a1Xek91ZH6OsJ67GNDzbQRWufHc772zyeux4EWu937Vwa+PJ17+ALPhyIaNL6q3znyyv/uMNPBTH7JOw2Lr1wotpbn0vq9qHXp9B/Db/uXBFqOPvJgLVKj5ca7nzKj2jU49eyjt4hOo/HVR8+JBsJrVKHnpIIC72spLi7Wc1T6n36goCkahNTX1cdvjhQdLa0fjuhfUTz76gdyxkW3yqfzlmixCpcmKUmiU/7UZPn35edXWG9VGb4Pv+x27/dEZeWDdaisjurkjfUE25977QPzrAudxue9lx+See8/LfoXStWpR8vqa0+3ZZecnDyTpCOxA70Wbxt0icmvaFWT95nizxsrqrLW6Tl53j7pX1UE6pOmlfyrlIoueNF53USnBNNpqPSDifc/+dI8QPeSQQ8FfGhtRfWUTLeXef+pSVvryi+Urzft8yN3DZT7hg4wz0/56ZdVZloq/WBT/zJJ84Pte3V+9mq9LAgggAACCDQuAXqLAAIIIIBA7QVKR/FqX1/U16APfdNO3jDgQjNFgk6T4Ft0NKoG/75avEyL1NkSUxzczcsrCPk1NEjX/dRjRQMjGoBds2GLGUnct1c3/7VaNm9q9lesWme2vtXGzdvNSPL9WjX3JZlpI3QUdsnlkOJRvfqn8FowmNG6X37zkxY18yFrEFenMdDzdcSpySixSktNlovPP91M/zJ+0kzzlwA6FYKmlyhW7d39W3k/eNjg6WfZkzcVP0i2VYtmZbPq5LhF8T3QKYx0lHdNLuKo5HkDeo9OLJ4jfGMVI3LLXlunXdE0Ddre4flw5OTjjzQfwujobU2v7aIj6ddv2i460tiyLPG93mJjY8x913tfdtGpL2py3V1Z2eb1o8F8nfP7zFOONdMJVfZaquhBlCWvf0DxA4Z1yp2S6U6ny/P9tt1Mi2RZnk8TPJn6PanvMZ9PHm2Cw7cP9gZsX3t3hie34n+W5bVRn+oulfWv4it6c3xztx/QxvsQZW9q4HV1HALXUHFqoPvwafH0WG88+1/R4LE+eFofOBxT/J5acW3eHN/90WmwLMt7f7w5+9YHHtDKHBzT4dCAr8dePTqb/IpW1XmfsSxvG/IDfPhZUf01SffdywM8H76W/d7yHesI7GDq7nJCB3l19J3y4+xXZMKYe8x0XDq9j2+KqGDqqKxMddpqWXXrV9vXW9l+xtjtcsmF3c0zAfQZFfosk4z0VNFnb+hf4gTb9xbN003VwfzsNQVZIYAAAggggAACCCCAAAIIVEuAgHs1uHTk7ucLfzCjI2+6po8ZdaojT33LoAEXmNqmz/7abGu70mkkNOBXsh4NrvrmQC85r3XJMqHa37p9t9w38hVT3TWXnGu2uurW5RjdyMezvxZHiaDtjC++Nek9zzjRbKtaHdyujSmiH2KUHBm+wRPQ3rYjy+T5Vtt27Da7sbH7Rs3qtXUUtckos7r4/DNMiu8vD/r39h6bxBqu2h+8vzlz0kdfiD7Y0Bx4Vpu37ZRZcxeLjkDObJbmSan7f/pBg37ooB/wfPblYv8FdW7/eYu884P7EyvYeXPKZ3LbQ2MDToOjgeDlK/4yZ7bd3xtANAdBrLbv2mNKxcWW/ksAX30msxarKR/PMx/snHpSR1OLWhx95CEmMD6/+IMZk1G80ikvdhS3qTgp6M3O4vM0mF/yJB2du7N4qiVfepPUJLOrduRs/O0AABAASURBVGanktXRRxxicidPn2u2vtWcBd+bvh1/9OEmSc10eh5z4FlpcFj/akSDmzrC1ZMUVv/25uTJ654PubRRHf92kG4qXYJ1qLSSMpm+e1VynnBfkU3FzxmwFQdaNV2fu7B63WbdrXLR73P9ntMPkSoq3MkTaNe8Z1/7oNyobT1X/1pH8ytaqvM+43u/+e2Ptf7q8vILxfehlz/Rs9M0PcWzFtH3dbNTjdXhh3in0Ro/aZb5ILPkqfoz6XPP67ZkWkX7+hdgRQ6nyda/3jj+6MP8z1n4a11wz1kwJ1eyqk5b69qvtq+3kt3U95v53/zsT9L3gHPOOEmO7djepOkH3sH2vTo/e03lrBBAAAEEEEAAgWIBNggggAACwQnYgitGKRXQYJhuLzjnVN2UW0469gjR/wmeNfdbyQ7BwzPf/fBzOe3Cm+We/xsn4z1BrDemfCqX3vCQfPn1UhP09z2sUhuiwee3P5gjunxdPNXM5wu/N8c6LYiWqWqZ+9WPovMbvzN1jox87h0578q7ZNWajXLXTZeZUb2+8/Vhh91PPdYEOIfe/6zotAA637cGt7X/f/cEAXxlK9vqqNtzPMF5vcY1wx43D+nUOX17XnKbCTqWPPfETt4A5ANPvCY6pYZOC9Hv3w/IW+/PLlnMv6/BPn04oyZoYNq3r8c1XTTYqQ+53LJtl1x962Oic8RPmT5PLhs8wlR5542XmjnkzUE9rHS+db3MsAefl+79hsqJ5w4y7dK5zDU9mEWfOXC2x/uGu0Yb15ff/lh0X+de1+DgQ7dfIxoYC6YuX5lOnuC37r/27kx55Ok3zNztg+78nwnua3p1Fw1c6mtLpwj672Mvy8NPvWG+zwZeep6/qntvudLsD7pzlIwYPUH0Q6mX3vxIrrv9Sbnipkc8QcZdJr+6Kx0Zn5Geal7rOie3fh9qG3T+6bJ1td2vhWmXfg/qPOvaXn2Ya9lyetzt5KNFPyTQD5vuevQl0fsw7q3pMvSBZzVbfB/eLf/9L/PMAi2jwXl9fsTdnvJ6bwZfdaEp25ArbceN9zwl4z33WufLv2jg/SYgqx9IZjbzjqKtrH3BOlRWR6A8HUWtH4ro+4neg/+9MMkU69r5aLPV17g+U8C8z11xp1T04cWrE2eY9yV11zpuHzHWnD/wsvPNNtDq1BOPMg8i1g96Lrr2PpkweZa89/GX5nvhnEtvl3emzQl0mj+tOu8zJxztfV+83/O+qK85/T4578o7zXNG/BUW73T8m3dapTsefkHe8bzH63u2LyBcXKTCjU4nds+Qy837sk6lpj8n9P1P67ho4H1y871jKjy3ZMYDT74m53t+rmhb9efkqxM/kRcmTDPfNxo8Llm2pvvVaWtd+1X39VZZn3ft3iODPO+j1wwdKa97XlPqp/76HBP967rDD2lrHjwbzH2qzs/eytoUZnk0BwEEEEAAAQQQQAABBBAIGwEC7tW4FTO++MaU7nl64BHcGpi8oKd3nvCSI9Fs1j5my/L+CbtlebemwgpW3Tp3MqOmNbDxxPMT5bFn3xb903udb3jck7eLb65nPd3pdJmAjgY4P1/4gyaJBoP1+MUJH5rjqlYbt+wQDWRrQFODRIcetJ+Mf+ouufLinuVOffy+G0QDJHotDWppsFAf9jhx7H0SzFy+vgofGHa16Hy+GpzS4IEG76+9tJfpt6+Mbi86/3TRB+5pMFmDNRrwSUiIF50qRvMDcWowT/Mu63OWboJaLKvy+zL46n/Ijf/qYwJ0+kGIBpCy9+aJzgetHr6LWJbWI0EF4Eu+PmzFc7Vblvd8KfPly9fkE4/5m7z9/H2irwedAqTLCUfKw3deK/3O947mT2uSrMUqXLqfdpyotQaU9UMcdR390mT/BzrPPDzETC3kq8CyvG2yxPIlldr62qajLHWeYQ3GavBZg4C//7neuOkJlrXvfMvy7lsV1Knl9UMcDY4+OuYtmTpzgegHKO+9PLzU66zD4QfKuy8+YPI0wHrvyFfk6ZffE/0rEfVpUTwFj9YXaLEsyyRbZdqho6WfHjHEzNeuH1zp96G24UbP60DbZU4qXunxk/ffYNqgHwppe7//6ffi3NIby7LkhceGeb6HTjTBUf1LA3396/MSJr7wgH+anCMPa2fq04Dvg0+OFw28a3Be7/HAy88vXWkDHa3bsFWeGDtRnnn1fdm5O9tMtXX9Fd6/9tEm+V4XlmXpYanFsoJzKHNSqcNAB3d7PiQ8x/Nhnr6f6Acw+prQcvrhoU4PpO83+rrU97kux3cw70Gab1neNvrabLfbRO+LumtwWO+PPougRfN9HyYUnyK24u9drecJz+tAP3TQgLYG9e9/4lXz4WdqSpKc1fV4LVLpEuz7jL4HDLzsPBMI19ecfp/o6OUB/c4x9dts3v7owaX/6CGX9ekh+lcTD3s+tNL37Nxc79zsml/yfciyvOdZlner+fo+qq/v1JRE83NC3/+0Dp3eSf/KS8voYlnec6wy30uap9Oh6GtE2zrM80GhfoihJmNG3Cz6QYOWqWixLMtkWQHq1YyS/sG2NRR+lmXp5QMuwb7efCdXdg+aNU0z7xff/PCreViq+ql/lxM6yKN3D/S8/rztCLbvwf7s9bWNLQIIIIAAAggggEBVAuQjgAAC+wT2RYL3pbFXgYA+7G353PGiI1krKGIeaKZlevXoLIkJcaL7Tz10k7+4TkWgaRr48CdWsKNz4+q8zV99+Jy8/8oImfraw6Lztj5+36ByAWkNvmu9gZYPX3+0giuUTu5zblfRhwh+OP4RWTrnFXnHE8zVgETpUt4j7ZvOH7tk5kvmHH3w4CdvjpRDiudn95aqeq1BYZ3P94spT5k+fv/pOBl2fX/Rfs+f+oy/ghi7XfSBcVpu0osPij7cVdv3wLCrjPGZpxzrL6s7DqfTBGc1CHpW1+M0KaglOSnB1Kd9C3SCtkNHFv/42cuiTtrnr6c/L72LP2jxnRPoPuuDXvX++MokBnh96OhYLeP7IMFXtoUnwKfpD3j660vTrY4m19fDB68+LGM8gWG9hzrNjvZbg/BapqJFX8dqrc7ah48m/J9Me+0Rz2vsRdHXTHdPQL7kubf++2Jjox/ElEw/54yTTLq+5n3pGlhb5HHR4KQ+ZHT2u6NE3bQPtxfPQa5lK6pT83yLTmf0g+d1MfPtx0XbqY5t92vpy/ZvNZCqed/Nekm0L7Pf/Z95HatPs6ZN/OUC7VTWjuM6tpfZk0aJGuuir3kNiOr3oh6XrE+fe6Bt0NepvoYf++/1JlvTtO/moHilr/1RD94o33w81szJrOfMeucJ6VhiKhZfn/Sa6qiL7j9429WlPnArrrLeN/o609fKgmnPmAfjal80+Foy0HvqiUeZ10fZ17SvscE4aFmdQ18N9YNNPfYtgWz1fUht9TWopl996P3LAf0+emfs/aLft1PGDZevPO+t+vrQ9yCtW9ui9frarOW0Di2rrz9djjzsQC3iX/QDOD1XP2jyJeo0RzcMuFC+/WSszH3vKfN9pa9dre+CnoH/Qsp3rm6DfZ/RskOv6yfqr23U/ujPqTtvvNSY+0ZYazl9hsJ/b7nS0+dnZcZbI0Vfv+oU6H0o0PuXZVlm+hd9XetDg/Xnkb7vax/1GQN6DV0q+176z6D+xkTP059pajN9wmOiQWM9t7KlonrPCfD+Y1nBtVWvV1u/yn5mBPt6C+Ye6AfZ+prWn836IGR979H7oPfbN3e79seyguu7vtb1da/vO3ovKvrZq3WyRIEAXUAAAQQQQAABBBBAAIF6FSDgXq/cNbuY/o+xBnPaH7S/+dP7mtVS9Vn6P/36EEENwmjAp+ozxHyooOdUNTqxqro0MKF91A8OKiur5XQ0c6vMjMqKyecLfjBTW+gDVuPiYistW5NMHfmsTjqqX0fB1qSO2p6jD6fUv0jQEY+6rw+xffy5d8xfQehDb6tTv44yPbhta9FgelJifHVOrbCsPuxTg5MHeeotGYD1nVCdrd5DDSppO6s6T4Od2pfWLZtJsK/jqurU1+VhB+8vuuj3SVXl9XWqc/oH028NhB7Rvp3oORXVq9dUR110v6JyDZWu03jo6O9g+ltRG4NxqOjcitL1Najt0u9XXxlto37fqrm+t/rSK9pqHVpWX3+W5R1FXFHZsumWZYlOraPfV8G8dsuer+0O5n1G/bWNwfRH69QPrPTDkrLXC/ZYP8zTn0f6vm9Z1TfR8/T9Xm30fgR73ZqUC6atdemn/avO662qPup7mk4Jo+9F2rfKymt+VfdJ33f0Xuh7XGV1kYcAAggggAACCCCAQG0EOBeBxiZAwL2x3fFG0t/X3p1helrdwLM5KUJWu/fkiE6to3P6/v2yO6TvtfeZuX11tKiOro2QbtBMBBBAAAEEEECgoQS4LgIIIIAAAggggAACIRcg4B5yUipsaIHCwiLpd/7p8vSIm0VHOTd0e+rq+ocfvL9MGHOP6PQiOlXDw3dea+Z01ykGghnpWlftClW97T39G3HHNXLCMX8LVZURVE/4N/X6ARfI/UMHhH9DaSECCCCAAAIIIIAAAggggAACYStAw6JRgIB7NN7VRt4nnX6kb69uclYQDyeMZCrt5/FHH+b5cOEMueaSXqLzt+uc7pHcp5Jt12mD9D4e0q5NyWT2w0Sg+6nHlnt2QZg0jWYggAACCCCAQCgEqAMBBBBAAAEEEECgRgIE3GvExkkIIIAAAg0lwHURQAABBBBAAAEEEEAAAQQQQCD6BSK1hwTcI/XO0W4EEEAAAQQQQAABBBBAAIGGEOCaCCCAAAIIIIBAhQIE3CukIQMBBBBAAIFIE6C9CCCAAAIIIIAAAggggAACCCDQkAL1E3BvyB5ybQQQQAABBBBAAAEEEEAAAQQQqB8BroIAAggggEAjFyDg3shfAHQfAQQQQACBxiJAPxFAAAEEEEAAAQQQQAABBBCoawEC7nUtXHX9lEAAAQQQQAABBBBAAAEEEEAAgegXoIcIIIAAAo1AgIB7I7jJdBEBBBBAAAEEEKhcgFwEEEAAAQQQQAABBBBAAIFQCBBwD4UiddSdADUjgAACCCCAAAIIIIAAAggggED0C9BDBBBAIEoECLhHyY2kGwgggAACCCCAAAJ1I0CtCCCAAAIIIIAAAggggECwAgTcg5WiHALhJ0CLEEAAAQQQQAABBBBAAAEEEEAg+gXoIQIIRJAAAfcIulk0FQEEEEAAAQQQQACB8BKgNQgggAACCCCAAAIIIFBSgIB7SQ32EUAgegToCQIIIIAAAggggAACCCCAAAIIRL8APUQgzAQIuIfZDaE5CCCAAAIIIIAAAgggEB0C9AIBBBBAAAEEEECg8QkQcG9895weI4AAAggggAACCCCAAAIIIIAAAggggED0C9DDBhAg4N4A6FwSAQQQQAABBBBAAAEEEGjcAvQeAQQQQAABBBCITgEC7tF5X+kVAggggEBNBTgPAQQQQAAhr3ceAAAQAElEQVQBBBBAAAEEEEAAAQSiX6COekjAvY5gqRYBBBBAAAEEEEAAAQQQQACBmghwDgIIIIAAAghErgAB98i9d7QcAQQQQACB+hbgeggggAACCCCAAAIIIIAAAgggUIlAlATcK+khWQgggAACCCCAAAIIIIAAAgggECUCdAMBBBBAAIHwFiDgHt73h9YhgAACCCCAQKQI0E4EEEAAAQQQQAABBBBAAIFGL0DAvRG8BOgiAggggAACCCCAAAIIIIAAAghEvwA9RAABBBBoeAEC7g1/D2gBAggggAACCCAQ7QL0DwEEEEAAAQQQQAABBBBoFAIE3BvFbaaTFQuQgwACCCCAAAIIIIAAAggggAAC0S9ADxFAAIH6ESDgXj/OXAUBBBBAAAEEEEAAgcACpCKAAAIIIIAAAggggEDUCBBwj5pbSUcQCL0ANSKAAAIIIIAAAggggAACCCCAQPQL0EMEEAidAAH30FlSEwIIIIAAAggggAACCIRWgNoQQAABBBBAAAEEEIgoAQLuEXW7aCwCCISPAC1BAAEEEEAAAQQQQAABBBBAAIHoF6CHCFRPgIB79bwojQACCCCAAAIIIIAAAgiEhwCtQAABBBBAAAEEEAg7AQLuYXdLaBACCCAQ+QL0AAEEEEAAAQQQQAABBBBAAAEEol+AHpYXIOBe3oQUBBBAAAEEEEAAAQQQQACByBag9QgggAACCCCAQIMIEHBvEHYuigACCCDQeAXoOQIIIIAAAggggAACCCCAAAIIRKvAvoB7tPaQfiGAAAIIIIAAAggggAACCCCAwD4B9hBAAAEEEECgzgQIuNcZLRUjgAACCCCAQHUFKI8AAggggAACCCCAAAIIIIBAJAsQcA/u7lEKAQQQQAABBBBAAAEEEEAAAQSiX4AeIoAAAgggUCsBAu614uNkBBBAAAEEEECgvgS4DgIIIIAAAggggAACCCCAQLgLEHAP9zsUCe2jjQgggAACCCCAAAIIIIAAAgggEP0C9BABBBBAoEoBAu5VElEAAQQQQAABBBBAINwFaB8CCCCAAAIIIIAAAgggEA4CBNzD4S7QhmgWoG8IIIAAAggggAACCCCAAAIIIBD9AvQQAQQQMAIE3A0DKwQQQAABBBBAAAEEolWAfiGAAAIIIIAAAggggEB9CRBwry9proMAAuUFSEEAAQQQQAABBBBAAAEEEEAAgegXoIcINCIBAu6N6GbTVQQQQAABBBBAAAEEECgtwBECCCCAAAIIIIAAAqEUIOAeSk3qQgABBEInQE0IIIAAAggggAACCCCAAAIIIBD9AvQwygQIuEfZDaU7CCCAAAIIIIAAAggggEBoBKgFAQQQQAABBBBAoLoCBNyrK0Z5BBBAAIGGF6AFCCCAAAIIIIAAAggggAACCCAQ/QIR2EMC7hF402gyAggggAACCCCAAAIIIIBAwwpwdQQQQAABBBBAIJAAAfdAKtVI27gjT2qybNmVLw6nq0bn1uR6nFOz+xTpbntyi2RvnoPXWQ2/TyP9/jdk+/MKnLIzu4DXXsO89hq1u9PlFv0Z25Cvf64dmT9zs3KKJCefn5m8fuv/9Ztb4JBd2YWN+r2b113dv+5cbrds4vcSvs/q+TWwdXe+FDmIe/AeV7fvcRr3yPbEPsLduRqhRopGgUA9BtyjQIsuIIAAAggggAACCCCAAAIIIIBAFQJkI4AAAggg0HgFCLg33ntPzxFAAAEEEGh8AvQYAQQQQAABBBBAAAEEEEAAgToUIOBeh7jVqZqyCCCAAAIIIIAAAggggAACCCAQ/QL0EAEEEEAgugUIuEf3/aV3CCCAAAIIIIBAsAKUQwABBBBAAAEEEEAAAQQQqKUAAfdaAnJ6fQhwDQQQQAABBBBAAAEEEEAAAQQQiH4BeogAAghEvgAB98i/h/QAAQQQQAABBBBAoK4FqB8BBBBAAAEEEEAAAQQQCEKAgHsQSBRBIJwFaBsCCCCAAAIIIIAAAggggAACCES/AD1EoDoCP/2ySj5f8L1s3raz3Gm//bHW5K1eu6lcXnUSfli2Ui4dPEK278yqzmlBlb3xnqdkyvR5FZb9deUa0wftoy6r1mw0ZbP35vrTv/jqB/n6+1/kj9UbxO12m/z6WBFwrw9lroEAAggggAACCCCAQPQK0DMEEEAAAQQQQACBMBN4+Z2P5eZ7x8jjz71TqmVFDqcMvnu0yfvsyyWl8io7uPLmR+Xeka+UKrI3J080sK91lsoIwYHWuyXAhwW+qrXtDzz5munHw0+/Id98/6vJWr9pm0nTvt90z9Ny7bDH5cJ//VfOu/IuE4g3hep4RcC9joGpHgEEGlKAayOAAAIIIIAAAggggAACCCCAQPQL0MOKBGbNXSx/lhjJ/tm8JbJl266KileYriPEdamwQD1nDLn2Inn07uvMVcc+Nkwu69PD7PtWLz1xmyz74jVZNP15efnJ26VZ0zQTiJ+3aKmvSJ1tCbjXGS0VI4AAAggggAACCCCAQKMXAAABBBBAAAEEEGggge6nHiuHtGsjr7z9sWmBBszHvfWR/Pvy881xyZVOxfLI029I935DpcMZV8s1Q0eKTj2jZV568yPR6WM+9QTrr7jpEdFFR6Brni5ff7dcrr71MTnx3EFyx4gXZPmKvzTZv+ix5mu951x6uzzz6vtSVOTw5zucTnnxjY/819ayO3dn+/NrumNZljRJSZIuJ3QQDcAf1/EwM7o/L7+wplUGdR4B96CYKIQAAghEnwA9QgABBBBAAAEEEEAAAQQQQACB6BWwbJYMGnChTJ25QDZs3i5fLVkuv/+5Xi7ve1apTjudLhn4nyfky69/kqv6/10eu+c6ycnNF51GRgPxHf92sLTMbCoHt20t5511slmaZ6SJ70unmjmifTsZel0/WfrLKnlo1Ou+LFm7Yav0v/5B2bp9l9w3dICcfPyR8sKED+XRZ97ylxnz8nsy5pX35NAD95NH7/63nHTM3/x5odpJTIiTgZedZ6rT+d/NTh2tCLjXESzVIoAAAggggAACCCCAAAIIVCpAJgIIIIAAAgjUsUDPM04wwfLx786QcW9NN1OvZDZLL3XVL79ZKstWrJbH7xskV/U7R3r3PEVG3Hmt5Oblyzc//GpGiLdp2VwOPWg/ufQfPczSplVzfx3vvfyQ3HnjpabuOwZfauraun23yX9jyiyzfWfs/XLJhd1l+G3/kn9dcq5M+vALTxB+t2Rl58gr73wiF59/uhmFfuE5p8rgq/8hGemp5rxQrg4/9ABT3bLf/jTbulrZ6qpi6kUAAQQQQCByBWg5AggggAACCCCAAAIIIIAAApEvEGO3y6ArL5C3P5gji3/8zYxgL9urFX+sM0kjRk+Qi//9gFnufPgFk7Zx83azrWyV1iTFn90is6nZ37LdO0/8b566jzr8IElLTTbpuup87BG6kb/WbZY/12w0+107H222dbnKyysw1aemJJmtdxX6NQH30JtSIwIIIIAAAggggAACCCCAAAK1E+BsBBBAAAEEQiTQu+epkpSYIDp6fP/WmeVqzS8oNGm3DLxIfMuw6/vLCyOHyRmnHGvygl3F2EuHmwsLiyQ5KaHU6QnxcebY6XRKbnEQvFnTJiatLlfLflttqj+mw6FmW1er0gJ1dRXqRQABBBBAAIGoEaAjCCCAAAIIIIAAAggggAACkSOQmBAn0157WO686bKAjT6obWuT3rpFM9GR5iWXA9p4A/RJifFSk4eNHtSutZmWpuS5i5euMNfbr3VzadncOyLeFww3GXWwWr12kzw0eoLoXPMHHtCqDq6wr8poCrjv6xV7CCCAAAIIIIAAAggggAACCCAQrQL0CwEEEECgmgI653rJaV1Knn5W1+NFH4o65L4xMm/RUlmzfovZDnvwOZm76EdTtMvxHWT+Nz/JEk+w/KdfVpn5101GFav+vc80Jf772MvmgaqTPpor73wwW0498Shpu19LObhdGznEs7z05kdm2ptFS5bLsAefl527s815Fa02b9sp6zZuNdl/rdsk23dmmX3fSh/e+vnCH+SDGfNNoP38AXdLZrM0efHx/4hlWb5idbIl4F4nrFSKAAIIIIAAAo1TgF4jgAACCCCAAAIIIIAAApEhYFnewLNO+fLy/+6QVpkZMvju0dLrijvNdu2GraIPS9Xe9DzjROn4t4Pkqlv+Ty4dPEJW/bVBk81SXI3Z9618acd1bC8j7rhGZs39Vi7znDf8f+Pl8EPbysN3DjRFbTZLRt57vdl/5Ok3ZOBtT4im6RQ4luVtn8kss3rutami5TVZA/QayNd93/Lcax/Izf99Wka9OEn0A4Kbr+krbzzzX2lWD1PXEHD33YVo39I/BBBAAAEEEEAAAQQQQAABBBCIfgF6iAACCHgExowYIrp4dgP+Wz53vPz78vP9eQe3bS2vjr5Tvpv1ksx65wn59pMXZMq44XL4IQeYMvu1am7yF0x7Rr766DnpckIHM/2M1qOBelPIs9IpWzTtqMMP8hx5//Xt1U2WznlFZrw1UhZOe1ZefvJ2adE83ZvpWes5c9972uQvmv68PHn/DbJ4xgsy+Op/eHID/9Mgvl7Htwy+6kJTUOvypel2/tRnTD8GDbigXoLt2ggC7qrAggACCCCAAAIIIFDnAlwAAQQQQAABBBBAAAEEwltAH2iqD1bVUe+BWto0LVUqmpomUHlfWozdbqaQSU9L8SWV2trtNpPfJCWpVHokHhBwj8S7RptDLUB9CCCAAAIIIIAAAggggAACCCAQ/QL0EAEEEKhzAQLudU7MBRBAAAEEEEAAAQQQqEqAfAQQQAABBBBAAAEEEIgGAQLu0XAX6QMCdSlA3QgggAACCCCAAAIIIIAAAgggEP0C9BABBEIiQMA9JIxUggACCCCAAAIIIIAAAnUlQL0IIIAAAggggAACCESKAAH3SLlTtBMBBMJRgDYhgAACCCCAAAIIIIAAAggggED0C9BDBIIWIOAeNBUFEUAAAQQQQAABBBBAAIFwE6A9CCCAAAIIIIAAAuEkQMA9nO4GbUEAAQSiSYC+IIAAAggggAACCCCAAAIIIIBA9AvQw1ICBNxLcXCAAAIIIIAAAggggAACCCAQLQL0AwEEEEAAAQSiV8DlcovT6QrYQc3bvG2nOJzOgPmaWFme5td0IeBeUznOQwABBBBAoOYCnIkAAggggAACCCCAAAIIIIBAoxPo3m+odDjjalm0ZLm/7/MWLRVN9yXovpbxLRdcdY9oGV++bt1utwwfNV4eGv26HpZatGzn826QHv2GSace18qkj+aWyteDtRu2mryNm7frYUiXMgH3kNZNZQgggAACCCCAAAIIIIAAAgggEJYCNAoBBBBAAIGGEchIT5Wnxk0RDZpX1ILbB18isyeNkg9ff1Q6dThUBt892j9afdbcb6VbnyEyZfq8cqfn5RfKbQ+NlZuu6SNL57wiT4+4WYb/b7ys37TNX/bSwSPk7ucibQAAEABJREFU3Mvv8B+HeoeAe6hFqQ8BBBBAAAEEaifA2QgggAACCCCAAAIIIIAAAlErcMvAi2XZitXyxcIfKuyjBuVbt8iQQ9q1kdNO6ihJiQn+sl07d5LJ44bL+Wd38af5dr794VfJzcuXSy/sLjF2u5zV9Xhpt39LmbfoR18Refqhm+Wd5+/zH4d6h4B7NUQpigACCCCAAAIIIIAAAggggAAC0S9ADxFAAIFoEfjzL7fU9/LX2sDzqvtMM5uly+CrLjSj3J0VzMG+4Juf5e0P5sjYCdPk4acmyD1DLjcBdK0jKTFeWmVmSHJSoh6WWrZs32UC7HFxsf50Ddpv3rrLf9yiebq09JzvTwjxDgH3EINSHQIIIIAAAgggUIcCVI0AAggggAACCCCAAAIIBCWQm+eWaTOc9b7M+txdZfuuuLinbNq6U2bO/TZg2T/XbpIlS1fIryvXSGpKkrw2cYasWrMxYNmSiXuyc0qNhte8+Pg4yd6bq7v1shBwrxfmxnAR+ogAAggggAACCCCAAAIIIIAAAtEvQA8RQCBSBGLslhx8YP0vbfe3qiRKS02W66/sLWNefk+KHI5y5Qf06ymjHhwsY0YMMfO4t8hsKhOnzilXrmxCE0+9OqVMyfSCgkITtC+ZVpf7BNzrUpe6EUAAAQQQQAABBOpPgCshgAACCCCAAAIIIICAXyAuTuTCc+31vpx7VnAh58v69JCdu7Nl0odf+NscaEfnYj+4bWtZvW5zoOxSaS2bN5U167dIUZHDn/77n+ulVYum/uO63gmu93XdCupHIMoF6B4CCCCAAAIIIIAAAggggAACCES/AD1EAIHgBZISE2Todf1k4eJl5U7SQLxOOaNTy3z06Vfy1vuzpWvno005nfddA+pOp1McDqcJrrtc3mlsTjzmb6bMO1PniMOTP3v+d7J+0zY5vcsxJl1XRZ5zCouKdFd0XxdzEKIVAfcQQVINAggggAACCCCAAAJhLEDTEEAAAQQQQAABBBAIO4GLzusmGemp5dr1xPMT5az+w6T3gLvNg1P/M6i/XNH3bFPuvY/nyTFnD5Qp0+fJ1JkLzP7UmfNNnj5Q9ZlHbpGRz70jnXpcK7fc94zce+uVsn/rTJOvq1N63yh/v+wO3ZVeV9wp3S++1eyHakXAPVSS1IMAAjUU4DQEEEAAAQQQQAABBBBAAAEEEIh+AXqIgMjnk0fL6V06+Sni42Jl/tRnTLovUcssnztefMsnb46Uay7pJXa7N5Td/4Iz/Xm+Mn17dfOdLt1PPVZ+mvOqfDrxSfnxs5fl0n/08OfpzuIZL5Q6X6+v6aFavK0MVW3UgwACCCCAAAIIIIAAAghEmgDtRQABBBBAAAEEEIgqAQ3O79equcTGxtR7vwi41zs5F0QAAQSCF6AkAggggAACCCCAAAIIIIAAAghEvwA9jB4BAu7Rcy/pCQIIIIAAAggggAACCCAQagHqQwABBBBAwAhY7nxpsuMNSd/6rIjbZdJYIYBAeQEC7uVNSEEAAQQQiAgBGokAAggggAACCCCAAAIIIFAfAhpsT90xUWKKNorNlSN25/b6uCzXQKBYILI2BNwj637RWgQQQAABBBBAAAEEEEAAgXARoB0IIIBAIxDwB9sdW/y9tTkL/PvsIIBAaQEC7qU9OEIAAQQQQCAqBOgEAggggAACCCCAAAIIIFBbgZLBdqctTRwxLWtbJecjEPUC9R1wj3pQOogAAggggAACCCCAAAIIIIAAAgIBAghEuEDZYHt2s0vFbcWbXmme2WGFAALlBAi4lyMhAQEEEEAAAQSiW4DeIYAAAggggAACCCCAQFUCKTs/kBjHFtGR7Rpsd9nTxBWT5j3Nne/dskYAgXICBNzLkTRgApdGAAEEEEAAAQQQQAABBBBAAIHoF6CHCIS5gI5gjy1aK25bgviC7WHeZJrXCAVcLrc4na6APde8zdt2isPpLJevedt3ZklWdk65vFAkEHAPhSJ1IIAAAggggAACUSJANxBAAAEEEEAAAQQQiM1faRAc9haiI9vNga48AXizcfPQVHVgqb5A935DpcMZV8uiJcv9J89btFQ03Zeg+1rGt1xw1T2iZXz5unW73TJ81Hh5aPTrelhq0bKdz7tBevQbJp16XCuTPprrz9frat7pfW+RU3rfKFff+pgsW7Hanx+KHQLuoVCkjvoQ4BoIIIAAAggggAACCCCAAAIIIBD9AvQwDARiHdtMK4oS25utb+W04ry7LqaU8UKwrolARnqqPDVuimjQvKLzbx98icyeNEo+fP1R6dThUBl892j/aPVZc7+Vbn2GyJTp88qdnpdfKLc9NFZuuqaPLJ3zijw94mYZ/r/xsn6T9zVt2Sy5f+gA+eqj5+TzyaMlOSlBnnttarl6apNAwL02epyLAAIIIIAAAggg0IgE6CoCCCCAAAIIINA4BGLyfzcd1RHuZocVAiEUuGXgxWZU+RcLf6iwVg3Kt26RIYe0ayOnndRRkhIT/GW7du4kk8cNl/PP7uJP8+18+8OvkpuXL5de2F1i7HY5q+vx0m7/ljJv0Y+myMnHHSm9e54iaanJ0jKzqfz9jJPky6+X+oP5EoIvAu7VQCwqcsiGzdulsLCoGmdRFIF6EOASCCCAAAIIIIAAAggggAACCCAQ/QL10EOdv93uzDLztzvi25a+YvGUMnZ3Yel0jsJWwLFyudT7suq3Sj0ym6XL4KsuNKPcnRXMwb7gm5/l7Q/myNgJ0+ThpybIPUMuNwF0rTgpMV5aZWZIclKiHpZatmzfZQLscXGx/nQN2m/eust/XHJn4ZJlckT7dv66S+bVdJ+AexByq9dukitvflSOOXug9LzkNnl/xvwgzqIIAggggAACCCCAAAKNR4CeIoAAAggggEB0CJScv71sj1xWvDeJKWW8DmG+dufulfxJr9b7UvDhO1XKXHFxT9m0dafMnPttwLJ/euKxS5aukF9XrpHUlCR5beIMWbVmY8CyJRP3ZOeUGg2vefHxcZK9N1d3Sy0fffqV6PKf6/uXSq/tAQH3KgS3bNsl5w+42/yJwRvP3CNLZr4k55xxYhVnkY0AAmEkQFMQQAABBBBAAAEEEEAAAQQQQCBIgdjCdaZk2fnbTWJ4r2hdGQHLHiMx7TvU+2I/+LAyLSl/qFO6XH9lbxnz8ntS5HCUKzCgX08Z9eBgGTNiiJnHvUVmU5k4dU65cmUTmqQmmyllSqYXFBSaoH3JtIWLl8ldj74kDwy7Srqc0KFkVq33CbhXQfj6pJmicwY99t/r5LiOh0liQpw0TUut4iyyEUAAAQQQQAABBBBAAAGfAFsEEEAAAQQiRyCmcK1pbKD52922dJNnc2SZLaswF4hPkIT+19T/cuHlQcFc1qeH7NydLZM+/KLS8joX+8FtW8vqdZsrLaeZLZs3lTXrt4hODa7Huvz+53pp1aKp7ppFH7p63e1PysN3Xiv9LzjTpIVyZQtlZdFY14Jvf5Y2LZvLbcPHyj+vHy4PPjleNm/b6e+qZYnUdBHPV03P5TypsXtjspPir8bUZ/oq1fveqMV7WGXW4vnyVB0WbamsneRJ1N0j8XxxXyXq7mt93FMp/qqPa3EN4TXq+SHpex2I58tziIkHwWfCVkL+ehDPF64ScldMqzAV7xdOElGvPbsrS3zztzsT2gZsu3i+wuW+eppi/oVLeypqh2lkQ6/C8PpJiQky9Lp+oqPNyzZPA/E65YxOLaPTvrz1/mzp2vloU0znfdeAutPpFIfDaYLrLpfb5J14zN/M9p2pc8ThyZ89/ztZv2mbnN7lGJM+bdZCGfbg83LXTZfJScceIRs2bzdLbl6+yQ/FioB7FYo6N1ByUoL0OO04uebSc2XZitVyzdCR5kbqqa2aJkpNlsy0BImx22p0bk2uxzk1u0+R7tYkKVZSEmN4ndXw+zTS739Dtj8x3i7pqfG89njt1ftrwG6zRH/GNuTrn2tH5s/ctORYSU7gZyav3/p//SbFx0haaly9v1+G072mLXX/urN5IkAt+b2E77N6fg0098Q9YmOIe0Tae1xm3BaJj7VLQpODA37PNGsSb/LD5fcmjXukemIf4e4sfFUocNF53czsImULPPH8RDmr/zDpPeBu8+DU/wzqL1f0PdsUe+/jeaLP2pwyfZ5MnbnA7E+dOd/k6QNVn3nkFhn53DvSqce1cst9z8i9t14p+7fONPlLf1llto89+7Z5Vqc+r1OXWXMXm/RQrAi4B6F4uedm9u55ipxzxknyxH2DzJ8l6KcreuqmnXlSk2Xr7nzPpyyuGp1bk+txTs3uU6S77cktkr15Dl5nNfw+jfT735Dtzytwyq7sgkh/7dH+CPzecbrcoj9jG/L1z7Uj82duVk6R5OTzM5PXb/2/fnMLHLI7u5CfORH4MyeSvl9cbrdsxpjvs3p+DWzLypciB3GPSHqv0LZm7/hDCoqcssvVOuD3zNa9YvJzc3YEzNc66nPRuEe2J/ZRn9esybU0hsjiFfh88mg5vUsn74FnHR8XK/OnPiOa7jk0/3R/+dzx4ls+eXOkXHNJL7HbvaFsnQbGl+fb9u3VzZyrq+6nHis/zXlVPp34pPz42cty6T96aLJZ7h86wF+v79zlc8dLn3O7mvxQrLytDEVNUVrHEe3bydoNW/y9c7lcZr+wyGG2rBBAAAEEEEAAAQQQQAABBBCoGwFqRQABBOpXwDd/e1Fc24AXdlvxAdNJRCDcBDQ4v1+r5hIbG1PvTSPgXgV5rx6d5dWJn5i5fLKyc+SNKZ+ZP3M49MD9qjiTbAQQQAABBKJYgK4hgAACCCCAAAIIIIBAVAnYnCXmb49pEVV9ozMI1KdA1AXcQ42ncwN1Pu5IM6fPKb1vlC+/WSrPPXqrJCbEhfpS1IcAAggggAACCCCAAAIIIIAAAkEKUAwBBEIr4Bvd7og9oMKKXfY0k2f3BOfNDisEECgnQMC9HEnphLi4WHny/htk0fTnZfa7/5M5k0bJ0UceUroQRwgggAACCCCAwD4B9hBAAAEEEEAAAQQQiDiB2MJ1ps1F8YGnkzGZrBBAoEoBAu5VEnkLNElJktYtm4llWd6EiFzTaAQQQAABBBBAAAEEEEAAAQQQiH4BeohA9QV8I9wrmr+9+jVyBgKNU4CAe+O87/QaAQQQQAABBBBoGAGuigACCCCAAAIIIBB2AtWZv91ZPK2MnhN2HaFBCISBAAH3MLgJNCE8BGgFAggggAACCCCAAAIIIIAAAghEvwA9LC8QV7DSJFY2f7spwAoBBKoUIOBeJREFEEAAAQQQQAABBBCoFwEuggACCCCAAAIINIiAvWiruW515m+33AXmHFYIIFBagIB7aQ+OEEAgoACJCCCAAAIIIIAAAggggAACCCAQrQK+Ee6F8e2r7KLLlmbK2JwE3A0EqwYTcLnc4nS6Al5f8zZv2ykOpzNgfk5uvmzdvlvcbnfA/NokEnCvjR7nIoAAAiKG5RkAABAASURBVAgggAACCCCAQP0IcBUEEEAAAQQQqBMBnYvdcuWL25YgruL52evkQlSKgEege7+h0uGMq2XRkuWeI++/eYuWiqZ7j8TsaxnfcsFV94iW8eXrVgPlw0eNl4dGv66HpRYt2/m8G6RHv2HSqce1Mumjuf78wsIiufORF+WkXoPkzItvlR79h8nPv63254dih4B7KBSpAwEEGrUAnUcAAQQQQAABBBBAAAEEEEAgUgV8U8M4i0euR2o/6qPdXCM0AhnpqfLUuCmVji6/ffAlMnvSKPnw9UelU4dDZfDdo/2j1WfN/Va69RkiU6bPK9egvPxCue2hsXLTNX1k6ZxX5OkRN8vw/42X9Zu2mbKfzf9Ovlq8TKaMGy4/zn5FTu9yjNw2/Hkp8ATiTYEQrAi4hwCRKhBAAAEEEEAAAQQQQACBBhTg0ggggAACCNRYwF60xZzrjG1htlWtXDHeKWUs1+6qipKPQECBWwZeLMtWrJYvFv4QMF8TNSjfukWGHNKujZx2UkdJSkzQZLN07dxJJnsC5uef3cUcl1x9+8OvkpuXL5de2F1i7HY5q+vx0m7/ljJv0Y+m2DsfzJE+53aVI9q3k9gYuwy5tq8Jxv+xeoPJD8WKgHsoFKkDAQQQQKACAZIRQAABBBBAAAEEEEAAAQTCWUCnlDHts+0LaJpjVlEh8E3OFqmfZd91vsvZWqldZrN0GXzVhWaUu7OCOdgXfPOzvO0Jjo+dME0efmqC3DPkchNA14qTEuOlVWaGJCcl6mGpZcv2XSbAHhcX60/XoP3mrbvMcVGRQ2y2fSHxpmmpJn3T1h1mG4rVvtpDURt1IIAAAggggAACCCCAAAIIIBBOArQFAQQQQKBSAbtzj8kvisk02ypXxYF5m5uHplZp1cAFspwF8sDGxfW+PLFlaZU9v+LinrJp606ZOffbgGX/XLtJlixdIb+uXCOpKUny2sQZsmrNxoBlSybuyc4pNRpe8+Lj4yR7b67uyrk9Osu4t6bL+Hdnik5N88TzE016KFcE3EOpSV0IIIAAAghUQ4CiCCCAAAIIIIAAAggggEBDC9hc+d4mWMGNcHdacd7yvvO8R6zDUCDWssvJyS3rfTkuqXmVGmmpyXL9lb1lzMvvSZHDUa78gH49ZdSDg2XMiCFmHvcWmU1l4tQ55cqVTWjiqVenlCmZXlBQaIL2mnZVv3PkvqED5Ksly+S9j7+U3HzvB0etWzTT7JAsgQLuIamYShBAAAEEEEAAAQQQQAABBBBAIKwFaBwCCCAgNod3+g9HkHO4QxY5Akm2GHmwzYn1vtzR6tigkC7r00N27s6WSR9+UWl5nYv94LatZfW6zZWW08yWzZvKmvVbRKeO0WNdfv9zvbRq0VR3xbIsueTC7vLSE7eZpXWLDDMi/uB2bUx+KFYE3EOhSB0IIIAAAgggEGIBqkMAAQQQQAABBBBAAIH6ELA7s8xlXPY0s61yVTyljN1dWGVRCiBQmYA+CHXodf1k4eJl5YppIF6nnNGpZT769Ct56/3Z0rXz0aaczvuuAXWn0ykOh9ME110ut8k78Zi/me07U+eIw5M/e/535qGop3c5xqRruW07dkt+QaHM/+YnGffWx+bBqYkJxX+5YUrVbkXAvbp+lEcAAQQQQAABBBBAAAEEEEAAgegXoIcINAIBW3Gw3RlssN1j4rLiPWvPP6aU8SDwr7YCF53XTTLSU8tVo3Orn9V/mPQecLfog1P/M6i/XNH3bFPuvY/nyTFnD5Qp0+fJ1JkLzP7UmfNNnj5Q9ZlHbpGRz70jnXpcK7fc94zce+uVsn9r7zMK8gsK5IyLbpXjz7lO7vm/cXL74Evkyot7mnNDtSLgHipJ6kEAAQQQQAABBOpJgMsggAACCCCAAAIIIBAKAbvD+8BUd5Dzt4fimtTRuAU+nzxaTu/SyY8QHxcr86c+I5ruS9T95XPHi2/55M2Rcs0lvcRu94ay+19wpj/PV6Zvr26+06X7qcfKT3NelU8nPik/fvayXPqPHv48HVU/Z/Io+fKDMea6/Xuf4c8L1Y63laGqjXoauwD9RwABBBBAAAEEEEAAAQQQQACB6Begh1EiYLl2m544Y1uYbVCr4uC8zeGdiiaocyiEQD0LaHB+v1bNJTY2ptyVW2VmSLOmTcqlhyqBgHuoJKkHAQQQQAABBBBAIAwEaAICCCCAAAIIIIBAsAL7ppQJPvjIaPhgdSnXWAUIuDfWO0+/61+AKyKAAAIIIIAAAggggAACCCCAQPQLRFAP7U7vlDKuaszhHkHdo6kINIgAAfcGYeeiCCCAAAIIIIAAAgjUvwBXRAABBBBAAAEESgrYi7Z6D4unifEeVL522b0PTbXcBZUXJBeBRipAwL2R3ni6jUCYCdAcBBBAAAEEEEAAAQQQQAABBBCoZwHLnW+u6KjGHO5uyxdw955rKgh+RUkEol6AgHvU32I6iAACCCCAAAIIIIAAAlULUAIBBBBAAIHGJ2B3eh98ypQyje/e0+O6EyDgXne21IwAAgiERoBaEEAAAQQQQAABBBBAAAEEEAixgK042O6s5vztvuC8L1gf4mY17urofVQIEHCPittIJxBAAAEEEEAAAQQQQACBuhOgZgQQQACB6BOIKZ6/3WVLi77O0SMEGlCAgHsD4nNpBBBAAIFaC1ABAggggAACCCCAAAIIIIBATQSK5293xRBwrwkf59S7QLkLulxucTpd5dJ9CQ6nU7SM77jsVvM2b9sp2Xtzy2bV6piAe634OBkBBBBAAAEEEEAAAQQQQKBxC9B7BBBAIDIF9k0p06TaHfBNQ+Oro9oVcEKjFejeb6h0OONqWbRkud9g3qKloum+BN3XMr7lgqvuES3jy9et2+2W4aPGy0OjX9fDcktefqH0veY++WTO1+XyNMB+z/+Nk47d/yU9+g2TB558rVyZ2iQQcK+NHucigAACCCAQzgK0DQEEEEAAAQQQQAABBBCoQMDu3GNyfHOymwNWCNSDQEZ6qjw1bopo0Lyiy90++BKZPWmUfPj6o9Kpw6Ey+O7RoiPWtfysud9Ktz5DZMr0eXpYbnnyhXflhL9fJ6vWbCyXp6Pa/zV0pKz6a6OMenCwLJ7xotx10+XlytUmoUEC7rVpMOcigAACCCCAAAIIIIAAAggggEBkCNBKBBAIXwF70VbTOLct3WxrsrLcBTU5jXMaucAtAy+WZStWyxcLf6hQQoPyrVtkyCHt2shpJ3WUpMQEf9munTvJ5HHD5fyzu/jTSu4MvPQ8mTN5lLTMbFoy2ezPXfSj/LpyjTx+3yA554yTPPXGS4vmNf8eMJWWWdnKHHOIAAIIIIAAAgg0BgH6iAACCCCAAAIIIIBAoxawiudwd8ZUf0oZ34NWbU4C7uH+Itrxp1vqe9n1V8XzqqtXZrN0GXzVhWaUu7OCOdgXfPOzvP3BHBk7YZo8/NQEuWfI5RJjt+vpJkjeKjNDkpMSzXHZVXpaimh+bEyMlP1a/ONvnvMT5OW3P5ZLB4+QIfeNkaW/rCpbrFbHBNxrxVcXJ1MnAggggAACCCCAAAIIIIAAAghEvwA9RCA0AjZnliRnfSJp28dJbMHqoCrVYLvdc54WZkoZVYjOpSjXLb9Mc9b7smKWu0rQKy7uKZu27pSZc78NWPbPtZtkydIVZjR6akqSvDZxhgSaIibgyZUkbti8TTLSU+XIw9rJvy87TxLi4uQyT+B9ted6lZxWrSwC7tXiojACCCCAAAIIINAIBOgiAggggAACCCCAQFgLaMA8LvdnabJ9vKRve0Hi834Wu2OnJOwt/4DIQB2xXN6R6b6HnwYqQ1rkC9hiLGl2cP0vTdtaVeKlpSbL9Vf2ljEvvydFDke58gP69TRzrI8ZMcTM494is6lMnDqnXLmaJHQ/7Ti59B89RLf/d891JgC/6LtfalJVwHMIuAdkITFcBWgXAggggAACCCCAAAIIIIAAAghEvwA9rFggIec7abrlaUnZ84nEOLaI05YmBYkdzQmxRWtFR7ybg0pWMcXzt7tiWlRSquIsV0yaybRcu82WVXgK2ONEjrzQXu/L4ecGF3K+rE8P2bk7WyZ9+EWlgDqVzMFtW8vqdZsrLRdMZrv9WsnqtRtLFc0vKJLCoqJSabU5CK73tbkC5yKAAAIIIIAAAgggED0C9AQBBBBAAAEEEGgwAR3ZnpizwFy/KLat7G3SS7JaDJKctF7+oHtcwUqTX+mqeP52ly2h0mJkIlCXAvog1KHX9ZOFi5eVu4wG4nXKGZ1a5qNPv5K33p8tXTsfbcrpvO9FRQ5xOp3icDhF912ufdPYODzpmqaFdfS8b1+Pz+p2vMz/5mdzTU1/f8aXkpuXL52PPUKzQ7IQcA8JI5UgEA4CtAEBBBBAAAEEEEAAAQQQQAABBKJZIGnvV2K58kWD7dnNLpXCJO/Idu1zUXx73Uj83iVmW9kq1rHNZDvtTcy22qviQL3N7Z2aptrncwICxQIXndfNTOlSfOjfPPH8RDmr/zDpPeBuGTthmvxnUH+5ou/ZJv+9j+fJMWcPlCnT58nUmQvM/tSZ802eru4Y8aJJW79pm9w78hWzv7p4jvZORx4itw36p1x3+5Mm/cEnx8vDd14rR7Rvp6eGZCHgHhJGKkEAAQQQQAABBBBAAAGBAAEEEEAAAQTqTECnionPWWzqz03rYbYlV4UJ7c30MnZXltgdW0tmld935Zu0mj4w1WnFmfOluB7vAWsEqhb4fPJoOb1LJ3/B+LhYmT/1GdF0X6LuL587XnzLJ2+OlGsu6SV2uzeU3f+CM/15vjJ9e3XznW7mfvel+7YHtW3tz//XJefKd7NekplvPy4/zn5F+pzb1Z8Xih1vK0NRE3UggAACYSxA0xBAAAEEEEAAAQQQQAABBBCIZIHk3Z+Y5hcknyjOCuZed8S3NWUScpaYbUUre/Ec7s7YlhUVidh0Go5AMAIJ8XFyQJsWEhtjD6Z4tcoQcK8WF4URQAABBBBAAAEEEEAAgRoJcBICCCCAAAI1FogpWCv6QFS3LUFyU06psJ7CBO8UM1q+wkKeDB0F79mI24rXTfUXTzv0JLu7UDcsCCBQQoCAewkMdhFAAIHGKUCvEUAAAQQQQAABBBBAAAEEwlVAH5SanOUd3Z6XfJonSJ5QYVOL4g/wTysTW7AuYDmtz3LliwbvXfa0gGWqSnT5AvWeeqoqS344CdCW+hAg4F4fylwDAQQQQAABBBBAAAEEEECgYgFyEEAAAQQqFIjPWSI6Il0flJqffHyF5XwZvmll4vJ/9iWV2lou74NO/UHzUrkcIIBAbQUIuNdWkPMRQAABBKJagM4hgAACCCCAAAIIIIAAAg0loA9KTcz9zlw+L+VUs61qlZ98gilS0bQyMcXzt7sqmAfenFzVyvKOsrc5sqoqST4CESMQqoYScA+VJPUggAACCCCAAAIIIIAAAgggEHoBakQAgUYskLz7E7Fc+VIE7rN9AAAQAElEQVQY3158I9er4nB6AumOmJZmVHxc/spyxW0ub5DcVTwPe7kCQSS4iwPuQRSlCAKNToCAe6O75XQYAQQQQACBUAlQDwIIIIAAAggggAACCNSVQELOd/selNqkR7Uuk5/knXomtqB8wN3u3GPqcsa2MFtWCCAQWoHoDLiH1ojaEEAAAQQQQAABBBBAAAEEEEAgHAVoEwJRKmB3bJXEnAWmdzlNeonLnmb2g135RsPH5/0slju/1Gk2x25zXJs53F32eFOH5fbOB28OWCGAgBEg4G4YWCGAAAIIIIAAAqEVoDYEEEAAAQQQQAABBGoiYHkC5Ck73xedSqYg+UQpTGhf7Wo0QK8PWdUT43OX68a/WP4R7i39adXdcVu+gHvpYH5166E8ArURcLnc4nS6AlaRlZ0jW7d7P1wKVMDhdMqWbbsCZdU6jYB7rQkjrgIajAACCCCAAAIIIIAAAggggAAC0S9ADyNUIGnvV2b+dactTXJTTqlxLwoSjzLnJmXPltQd70hC7hLRYL7dN4e7vYnJZ4VAfQp07zdUOpxxtSxasu+DoHmLloqm+9qh+1rGt1xw1T2iZXz5unW73TJ81Hh5aPTreuhftu/Mkl5X3Cmn9L5Rzrz4VtFzP/r0K3++BtpHjJ4gZ150q1z87/tN2U/mfOPPD8UOAfdQKFIHAggggAACCCCAQDUEKIoAAggggAACCCAQSCAu92eJz1ksbluC7M3oK7V5OGlRYntPwP5UU1ds0VpJ2jNH0re9KDpy3u2pvzZ1u23eEe52p/cBrIH6QhoCFQlkpKfKU+OmiAbNKypz++BLZPakUfLh649Kpw6HyuC7R4sGy7X8rLnfSrc+Q2TK9Hl6WGrRUe//+PtpMmfyKPl6+vPy9zNP8gTlJ0hefqEpN3XGAvnQE4CfNv5RmT/1Gfn35efLA0++Jrl5oftrDQLuhpoVAsUCbBBAAAEEEEAAAQQQQAABBBBAIPoFwrCHNk/wOnnv56ZlecmniTOmhdmv6UoD6vkpp8nuzOtlb5NeolPMaLBd63MVTwmj+zVZtO6anMc5CKjALQMvlmUrVssXC3/Qw4CLBuVbt8iQQ9q1kdNO6ihJiQn+cl07d5LJ44bL+Wd38af5dlo0T5frrugtrTIzJDUlSS4451QTTP915V+myNbtuyTDE/BPTvLWd/zRh5n8XVl7TX4oVgTcQ6FIHQgggAACCCCAAAIIhEiAahBAAAEEEECgcQok7/7EjD7XwHh+8vEhQ9DgeGFSR8ludqnsaXqp5CV1ltwmZ4WsfioKc4Ftf4jU97JjdaUomc3SZfBVF5pR7s4K5mBf8M3P8vYHc2TshGny8FMT5J4hl0uM3W7qTUqMFw2oJyclmuPKVot//M1kH3hAa7PVIL2OZr9k0HCZ8fk38uQL70rvnqfIfq2am/xQrAi4h0KROhBoHAL0EgEEEEAAAQQQQAABBBBAAAEE6kjAVjy3ek56rzq6gogjvq3kNTlDiuIPrewaQeXptDRaUEfm65YlDAUKc0WWvlf/y/LpVWJccXFP2bR1p8yc+23Asn+u3SRLlq6QX1euMSPVX5s4Q1at2RiwbEWJK1evl0fHvCU3DLhQMtJTTbHMZk3l2I7tpVlGmjwxdqLMmf+9nN31BJMXqhUB91BJUg8CCCCAAAIIIIAAAgjUsQDVI4AAAggggEC4CNR2Wppw6UdUt8NmF8n0fLhS30vGgVWypqUmy/VX9pYxL78nRQ5HufID+vWUUQ8OljEjhph53FtkNpWJU+eUK1dRwobN2+X6O/4n3U87Vm646kJ/sRcmTJM92bny0uO3yWcT/ye3DfqnDLlvjGhw3l+oljsE3GsJyOkIIICAEWCFAAIIIIAAAggggAACCCCAQCMUsNwFjavXkdTbmHiRThfV/3JU76CULuvTQ3buzpZJH35RaXmdSubgtq1l9brNlZbzZf6xeoPolDFdOx8tj9w1UOz2fSHwr7/7RY5o305sNsukX9X/76Jf3//0u25Csuy7WkiqoxIEEEAAAQQQQAABBBBAAIGGEOCaCCCAAAII1KeAy5ZmLmdzEnA3EKyqLaAPQh16XT9ZuHhZuXM1EK9TzujUMh99+pW89f5s0QC6FtR534uKHOJ0OsXhcIruu1xuzZIVq9bJhf/6r3Q5voMMvOw82bJtl+ho911Z2Sb/yMMPlOmffSVrN2wVt9sts+d/Z9JP8wTnzU4IVgTcQ4BIFQgggAAClQqQiQACCCCAAAIIIIAAAggggAAC0S9Q7R5edF43//zqJU9+4vmJclb/YdJ7wN0ydsI0+c+g/nJF37NNkfc+nifHnD1QpkyfJ1NnLjD7U2fON3l/Fs/z/vGcr+Xvl90hPS+5zSwjn3vH5N9y7UXS47Tj5aKB98tJvW6Ql978SEb+93rZr1Vzkx+KFQH3UChSBwIIIIAAAggggAACCCCAQBgL0DQEEEAg/AXszizTSLct3mxZIRCNAp9PHi2nd+nk71p8XKzMn/qMaLovUfeXzx0vvuWTN0fKNZf0MlPAaJn+F5zpz/OV6durm2bJud07l8vTMo/dc53JT09LkQdvu1oWTX9OPprwqEwZN1zOP7uLyQvVioB7qCSpBwEEEEAAgZoIcA4CCCCAAAIIIIAAAgggUELAbSWUOArfXVeMd0oZy7U7fBtJyxCoQEDnhW+VmVFBbu2SKwy4165azkYAAQQQQAABBBBAAAEEEEAAgUgQoI0IIIAAAgggEDoBAu6hs6QmBBBAAAEEEAitALUhgAACCCCAAAIIIIBAmAvY3Dw0NcxvEc2rZwEC7jUC5yQEEEAAAQQQQAABBBBAAAEEEIh+AXqIAAIVCTjtTbxZrnzvljUCCBgBAu6GgRUCCCCAAAIIIBBhAjQXAQQQQAABBBBAIGoELDdB66i5mXSk0QsQcG/0L4HQA1AjAggggAACCCCAAAIIIIAAAghEvwA9DJ2A5fJOy+K0p4Wu0nqqye4urKcrcRkEIkOAgHtk3CdaiQACCCCAAAIIIBC8ACURQAABBBBAAAEE6ljA5ftwgCll6lia6iNNgIB7pN0x2hvhAjQfAQQQQAABBBBAAAEEEEAAAQSiX4AeIoBAYxUg4N5Y7zz9RgABBBBAAAEEEGicAvQaAQQQQAABBBAIhYCVYGqxMcLdOLCqfwGXyy1Opyvghffm5Mm6jVslJzfw8xEKC4tky7Zd4na7A55fm0QC7rXR41wEEAipAJUhgAACCCCAAAIIIIAAAggggEBkCLiLA+5SPP98dVpN2cYr0L3fUOlwxtWyaMlyP8K8RUtF030Juq9lfMsFV90jWsaXr1sNlA8fNV4eGv26HvqX3Lx86XPNvdL5vBvk75fdISf1GiSPPP2GPzCv5z3/+jQ5tue/zTW79RkiS39Z5T8/FDsE3EOhSB0IIIAAAggggAACCCAQDQL0AQEEEEAAgQYRsDv2mOv6g9jmiBUC0SmQkZ4qT42bUuno8tsHXyKzJ42SD19/VDp1OFQG3z1aHE6nAZk191vRQPmU6fPMccmVjnrvcdrxMvPtx+WnOa/KCyOHydsfzPEE1f8wxX5c/oc899oH8sYz98iPn70s//h7Vxn6wLOi55kCIVgRcA8BIlUggAACdS/AFRBAAAEEEEAAAQQQQAABBKJdwG3FR0wXXXZvWy13QcS0OTIaGv2tvGXgxbJsxWr5YuEPFXZWg/KtW2TIIe3ayGkndZSkRO8URnpC186dZPK44XL+2V30sNSSkpwoN13TRw5o00Lsdpu0adnM5DdJSTbbzxf8IF1O6CDHdTxMYmNj5MqLe5qpZVasWmvyQ7Ei4B4KRepAAAEEEEAAAQQQQAABBKJdgP4hgAACCCBQQsD34YDlDjxHdomi7DagwPe5TqnvZWmedyR6Rd3ObJYug6+60Ixyd1YwB/uCb342I9PHTpgmDz81Qe4ZcrnE2O2myqTEeGmVmSHJSYnmONBq/aZtMurFSXLzvWPkhgEXyqEH7WeKbdq6Qw46oJXZ11WL5um6ka3bd5ttKFYE3EOhSB0IIIAAAg0qwMURQAABBBBAAAEEEEAAAQQQQKC0wB6nW57cWljvy9jtRaUbEuDoiot7yqatO2Xm3G8D5Ir8uXaTLFm6Qn5duUZSU5LktYkzZNWajRKwcIDE7L25snbDVtHt5m07pajIYUrtyc6RhPh4s+9b6ej5vbl5vsNabwm415qQChBAAAEEEEAAAQQQQAABBBq5AN1HAAEEGp2A2+YNWtqdWY2u75HS4VjLkuOS7PW+dEyoOuSclpos11/ZW8a8/J4UObzB8JKuA/r1lFEPDpYxI4aYedxbZDaViVPnlCxS6f4R7dvJUw/dJNPfeExmzV0sM774xpRv4rluQWGh2fet9EGrKZWMlveVC3Zbde+DrYlyCCCAAAIIIBCGAjQJAQQQQAABBBBAAAEEwl3AchVPZ1EcxA739mr7eMCrKoT3kuiJ/N7WIk7qe7kxMy4omMv69JCdu7Nl0odfVFpep5I5uG1rWb1uc6XlAmVqYD+zWZqZp13zW7doJn+VqMc3lYxvahktU9vFw17bKmp4PqchgAACCCCAAAIIIIAAAggggED0C9BDBBAIWsBl2/dgyKBPoiACESqgU7kMva6fLFy8rFwPNBCvU87o1DIfffqVvPX+bOna+WhTTud91ylinE6nOBxOM12My+U2eT8sW2nmftdAemFhkXwwY76sWb/FPCRVC3Q/7Vhzve9/XilFnnMnTJklLTObyuGHtNXskCy2kNRCJQgggAACCCCAQAQK0GQEEEAAAQQQQAABBBCouYC7+AMCG9PK1ByxkZ950XndJCM9tZzCE89PlLP6D5PeA+4WfXDqfwb1lyv6nm3KvffxPDnm7IEyZfo8mTpzgdmfOnO+ydPR8C+/PV3OvPhWObbnv+Xeka/InTdeKscffZjJP6bDoTJowAVy5c2PyDFnXSvvTvtC/vfAYLHZLJMfihUB91Aohr4OakQAAQQQQAABBBBAAAEEEEAAgegXoIcIRLSAy/LO4x7RnaDx9Srw+eTRcnqXTv5rxsfFyvypz4im+xJ1f/nc8eJbPnlzpFxzSS+x272h7P4XnOnP85Xp26ubOb3jEQfLnEmjZMG0Z2Tm24/Lj7NfkQH9zjF5urIsS26+pq98N+sl+Wzik/LNx2Pl2KPaa1bIFm8rQ1YdFSGAAAIIIIAAAghEhwC9QAABBBBAAAEEEEAAAQQiT8CyLGmalioHtGkhsTH2gB1IiI+TNq2ah3Rku+9CBNx9EmwjR4CWIoAAAggggAACCCCAAAIIIIBA9As0oh7a3AUR2VuXLc202+7YY7asEEBAhIA7rwIEEEAAAQQQQAABBKopQHEEEEAAAQQQQCCkAq58U53T3sRsWSGAQOQKEHCP3HtHyxEIJEAaAggggAACCCCAAAIIIIAAAghEvwA9RACBMBUg4B6mN4ZmIYAAAggggAACrWbkxgAAEABJREFUCCAQmQK0GgEEEEAAAQQai4ArxjuljOXa3Vi6TD8RqFKAgHuVRBRAAIGoEaAjCCCAAAIIIIAAAggggAACCCAQ/QL0EIEGFCDg3oD4XBoBBBBAAAEEEEAAAQQalwC9RQABBBBAAAEEEIhuAQLu0X1/6R0CCCAQrADlEEAAAQQQQAABBBBAAAEEGkjA7tzjvbItwbuNkLXvIa82Z1aEtJhmiggIdSxAwL2OgakeAQQQQAABBBBAAAEEEEAgGAHKIIAAAgi4rHgQEEAgSAGXyy1Opytg6b05ebJu41bJyc0PmK+JDqdTNyFfCLiHnJQKEUAAAQSiToAOIYAAAggggAACCCCAAAIIIIBArQW69xsqHc64WhYtWe6va96ipaLpvgTd1zK+5YKr7hEt48vXrdvtluGjxstDo1/XQ/+Sm5cvfa65Vzqfd4P8/bI75KReg+SRp98oF5hfu2GrdOpxrWzcvN1/rtkJwYqAewgQqQIBBBBAAAEEEEAAAQQQQACBuhSgbgQQQCAcBVz2NNMsu29KHHPECoHKBTLSU+WpcVNEg+YVlbx98CUye9Io+fD1R6VTh0Nl8N2jxTcifdbcb6VbnyEyZfq8cqfrqPcepx0vM99+XH6a86q8MHKYvP3BHFn6yx/+spcOHiHnXn6H/zjUOwTcQy1KfQgggAACCDQuAXqLAAIIIIAAAggggAACCCCAQNACtwy8WJatWC1fLPyhwnM0KN+6RYYc0q6NnHZSR0lK3Pd8g66dO8nkccPl/LO7lDs/JTlRbrqmjxzQpoXY7TZp07KZKdMkJdlsdfX0QzfLO8/fp7t1skRxwL1OvKgUAQQQQAABBBBAAAEEEEAAAQTCSoDGIBD5AjZXxfNMh3XvLG8QNGLbH9a4IWrc6s0i9b2s2Vpp4zObpcvgqy40o9ydFczBvuCbn83I9LETpsnDT02Qe4ZcLjF2u6k3KTFeWmVmSHJSojkOtFq/aZuMenGS3HzvGLlhwIVy6EH7+Yu1aJ4uLT3n+xNCvEPAPcSgVIcAAggggAACCPgF2EEAAQQQQAABBBBAIBgBV4Ep5balm22krNzFAXcpbn+ktLvRtDPP87r66BuR+l4+/b5K4isu7imbtu6UmXO/DVj2z7WbZMnSFfLryjWSmpIkr02cIavWbAxYNlBi9t5c0Xnadbt5204pKnIEKlYnabY6qZVKw16ABiKAAAIIIIAAAggggAACCCCAQPQL0EMEEGjEAjoi/KBWIvW9tM2sEj0tNVmuv7K3jHn5PSlylA+GD+jXU0Y9OFjGjBhi5nFvkdlUJk6dU2W9vgJHtG8nTz10k0x/4zGZNXexzPjC88GDL7OOtwTc6xiY6hFAAAEEEEAAAQQCCpCIAAIIIIAAAgggECUClrsgSnoSZd2IixHp3bn+l3OODwrysj49ZOfubJn04ReVltepZA5u21pWr9tcablAmRrYz2yWJlu27QqUXSdpBNzrhJVKI1uA1iOAAAIIIIAAAggggAACCCCAQPQL0MPaCjhjmpgqLHeEzkFvWs+qoQSSEhNk6HX9ZOHiZeWaoIF4nXJGp5b56NOv5K33Z0vXzkebcjrvu04R43Q6xeFwmuliXC63yfth2Uoz9/vW7bulsLBIPpgxX9as3yLHdTzM5OuqyHNOYVGR7oru62IOQrQi4B4iSKpBAAEEEEAAAQQQQCBkAlSEAAIIIIAAAo1KwGKEeKO633R2n8BF53WTjPTUfQnFe088P1HO6j9Meg+4W/TBqf8Z1F+u6Hu2yX3v43lyzNkDZcr0eTJ15gKzP3XmfJOno+Fffnu6nHnxrXJsz3/LvSNfkTtvvFSOP3pfwP2U3jfK3y+7w5TvdcWd0t1T1hyEaEXAPUSQVINAYxGgnwgggAACCCCAAAIIIIAAAgggEFoBq3iEuG/EeGhrr1ltwZzltsWbYjY+MDAOrKoW+HzyaDm9Syd/wfi4WJk/9RnRdF+i7i+fO158yydvjpRrLukldrs3lN3/gjP9eb4yfXt1M6d3POJgmTNplCyY9ozMfPtx+XH2KzKg3zkmz7daPOOFUufr9X15odh6WxmKmqgDAQQQQAABBBBAAAEEEKh7Aa6AAAIIIIAAAmEi4LYSTEssF1PKGAhWYSFgWZY0TUuVA9q0kNgYe723iYB7vZNzQQQQiF4BeoYAAggggAACCCCAAAIIIIAAAhUJWO7CirIiLJ3mIlCxAAH3im3IQQABBBBAAAEEEKhHgfhtyyR96WtiORkhVY/sXCraBOgPAggggAAC9SzgthWPci+eFifQ5eNyf5a0rS9I0y2jJSH3u0BFSEMgagQIuEfNraQjCCCAQHgL0DoEEECgMgHLWSDJa+eLvWC3xG/7tbKi5CGAAAIIIIAAAgiEkYDL8s7jbrkKyrXKF2hP2fOJ2F1ZJj+2YI3ZsopegcbeMwLujf0VQP8RQAABBBBAAIEwEEjY/L1/ZHvcrj/CoEU0AQEEolCALiGAAAJhK+B76KjvIaRh29AgGmZzZkly9udmRLsv0O60pUluyqnmbMu5x2xZIRCtAgTco/XO0i8EEEAAgQgSoKkIIBC/7Rc/Qmz2ek/wvfwIKX8BdhBAAAEEEEAAgSgTsIofOup7CGkkdc/lCaZre+MK/pDkrE8kfdsLEp+z2Ixo10D73ia9JKvFIMlPOU2LSYxji9k29Cq2YJ0k5nzb0M3g+lEoUHnAPQo7TJcQQAABBBBAAAEEwksgfttysRfuEUdSphSl7m8aF7tnvdmyQgABBBCoJwEugwACCNRSIGnPbInP+9nUUpDYUbKbXmYC7YVJHU2arhwxLXUjdsdWs63PlQbYE3KXSOqOdyRj80hJ3fW2JGZ/4fmQ4OP6bAbXagQCBNwbwU2miwgggAACCESyAG2PfoH47d7R7fktj5XCpoeaDjOtjGFghQACCCCAAAIIhL2AOybFtNFpSxMNtO/OHCQ5ab2kKP4Ak15y5bY3MYd2h3c+d3NQRysN6vsC7E23Pm0C7El75khs0VpzxaLYtuK2JXg+JFgmCXsXmDRWCIRCgIB7zRU5EwEEEEAAAQQQQKCWAjqSXaeQcdsTpCCzgxQ18Y5wj2GEey1lOR0BBBBAIIQCVIUAApUI5KacKXvT/2FGs2ug3WVPq7B0UWwLk2erw2llNHiuAfa07a+JL8CuU/bo6Hr9QGBvel/Z1fIWyW52qezJuNS0J2nvQoLuRiKyVi6XW5xOV7Ubredt35klWdk51T43mBMIuAejRBkEEEAAAQQQQCAsBSK/UYkbFplO5LU6xmydSZnijGtippix524zaawQQAABBBBAAIFoFrDc+RHdPZc9RQoTDg+qD67iKWV0epegTqhmoZiCtaLB87IBdh11v6f51WbkfWFCe/HNle+MaSG5qWeZq+h5cfkrzT6ruhPo3m+odDjjalm0ZLn/IvMWLRVN9yXovpbxLRdcdY9oGV++bt1utwwfNV4eGv26HgZcNmzeLieeO0hGvTjJn6/X7XzeDXJ631vklN43ytW3PibLVqz254dih4B7KBSpo7wAKQgggAACCCDQKAXsudvFnr8rqL6XHN2e3+o4/zmO4lHumu9PZAcBBBBAAAEEwlOAVtVawHIVmDqclYwMNwWiYOWMSTO9sNzePpuDEK4S9y40teWmnColA+yVjbrPTz5etLyemLznE7E56366G71WY14y0lPlqXFTRIPmFTncPvgSmT1plHz4+qPSqcOhMvju0eJwOk3xWXO/lW59hsiU6fPMcaBV9t5cueHOUZKbV/oDLctmyf1DB8hXHz0nn08eLclJCfLca1MDVVHjNALuNabjRAQQQAABBBBAAIGyAmnL3pLU3z8smxzwuOTodrc93l8mVPO4+ytkBwEEEEAAAQQQQCAsBHREuc6bHuPYIlaIR/br6Hadn13rL0g+oVr9zU85TQqSTxTLlW8eqkrQvVp81S58y8CLzajyLxb+UOG5GpRv3SJDDmnXRk47qaMkJSb4y3bt3Ekmjxsu55/dxZ9WckcD87ePGCvHdTxMzjnjpJJZcvJxR0rvnqdIWmqytMxsKn/35H/59VJ/MF9C8EXAPQSIVIFANQUojgACCCCAQFQK2Ar2iCUusefvlPhtyyvto45e983dXnJ0u57km8dd8y1n3Yx+0uuwIIAAAggggAACdSxA9QEEHPYWJjWmMLTTByZlf27qzUs63j9ljEkIcpWT2l2KYtuK3ZUlvpHyQZ4a1sV2F62X+l6yijZWapLZLF0GX3WhGeXurGAO9gXf/CxvfzBHxk6YJg8/NUHuGXK5xNjtpt6kxHhplZkhyUmJ5rjs6vHnJkphoUP+e8sVZbPKHS9cskyOaN/OX3e5AjVIIOBeAzROQQABBBBAAAEEEKhcIHHD15UWiN++3OTr3O0lR7droh4XpXofnqqBeU1jCbUA9SGAAAIIIIAAAg0kYIs3F7Y7t5htKFYJOd+Jjpp32tJER6vXtM6c9F7mVB0tb3YifFXkypeVe+fW+7I696sq5a64uKds2rpTZs79NmDZP9dukiVLV8ivK9dIakqSvDZxhqxaU3kgXyt6Z+ocmbfoRxk9/CaJjY3RpAqXjz79SnT5z/X9KyxTkwwC7jVR4xwEEKg7AWpGAAEEEIhYAXvBHn/b7YV7pKJguabHb//FlC1o3sFsy66YVqasCMcIIIAAAggggEB0CBTFtzUdsTv3/e5oEmq40mlgEnMWmLNz0rwBc3NQg5XO9e6IaWlGucfl/lyDGsLrFJtll/TY/et9aRLTukoIndLl+it7y5iX35Mih6Nc+QH9esqoBwfLmBFDzDzuLTKbykRPML1cwTIJ49+dKe32bykvvvGhPP7cO7J8xWr5aslyGffW9FIlFy5eJnc9+pI8MOwq6XJC4P8nKXVCNQ5s1ShLUQQQQAABBBBAAAEEKhQoO/2LbxR72RN8c7frVDKu+CZls82xb1qZmD3rzTErBOpTgGshgAACCCBQnwJW8QNE3da+Oarr8/r1fS2nvaW5pK0wNCPc7dmLzdzrOh2MI94bzDcXqOEqP+l4c2Z83jKzjeSV3YqV9iln1PtycPKpQbFd1qeH7NydLZM+/KLS8jqVzMFtW8vqdZsrLaeZ11xyrpzQ6XBJT0sxi91uk4T4OGmSkqTZZtGHrl53+5Py8J3XSv8LzjRpoVwRcK+G5uiXJkuHM66WPXtzq3EWRRFAAIGQCVARAgggENYCliPftK+oeDoYHcWu87qbxOKVjm6PzV4vbnuC5O53cnFq+Y0zKVOccU1ER8rbc0M7v2f5q5GCAAIIIIAAAgg0nIDNWWAu7rbizTbaV464TNPFGOdWs63NSke3x3gC7lpHXkpwQV4tW9niC9rrA1gb8OGplTUxavKSEhNk6HX9REebl+2UBuJ1yhmdWkanfXnr/dnStfPRppjO+15U5BCn0ykOh1N03+Vym7x/Xthdrruit3/526Ht5MMU8sQAABAASURBVLiO7UXTtcC0WQtl2IPPy103XSYnHXuEbNi83Sy5ed7/l9EytV0IuAcp+MGM+fLy2x8HWZpiCCCAAAIIIIBA4xOwnIWm0zpqvaD5kWa/7Ch33+j2nGbHiqOw8lFcjibM424QWSEQVgI0BgEEEEAAgdoJ6Eh+ty3BjEq33LULcsZmLRDxfGBRGN9efIHy2rVORKeVKUjsaKqJlrncTWfCdHXRed0kIz21XOueeH6inNV/mPQecLd5cOp/BvWXK/qebcq99/E8OebsgTJl+jyZOnOB2Z86c77Jq2q19JdVpshjz74tPS+5zb/MmrvYpIdiRcA9CMXFP/4mj455S568/4YgSlMEAQQQQKBBBLgoAgg0uIDl9P4PkzO+iRQUz80ev807V7s2ruTo9j9+PV5WvG3Jlm9sUhyn1yKllormcY/btUqS1n8ljHwvxcUBAggggAACCCAQMQIOewvT1pjC2v0lo32PN0ia26SHqS9UqyJPAF/rSty7UDcsIRT4fPJoOb1LJ3+N8XGxMn/qM6LpvkTdXz53vPiWT94cKddc0kt0ehgt0/+CM/15vjJ9e3XTrHKLzgM/7Pr+/vT7hw4od67W0efcrv4ytd0h4F6F4Jr1W2Tw3U/JUw/dJO0P8o6yquIUshFAAAEEEEAAgUYp4Htoqk4Xo3Ow+6aEid+23Hj4R7dnHCu5271/Mr1jmciqD2ySs9EyZUqutA491iloNMie8ucsyfhurKSu/FASN37jCbov0mwWBBBAIGwEaAgCCCCAQHACrriWpqDdWfN53O0O75Q07pgmZlS6qTBEq8KE9uK0pZmHp/quE6KqqaYRCBBwr+QmZ+3JEZ1AX+cSOvXEowKWTIizS02W+FibWJ7/r6zJuZxTM/PG6BZjt0SXxth3+tyw3yd2myWxMbYavT9y7+rk3jWae+H50Sr6M5bXUcO8jmLsNrF5fsGJTUg0rznngaea4+Rdv0py3kaJ37tBrNhEyU06QdxFlqRk2sziyrFk3Uyb7Fhil1ixm3P1HsYnJok7/QBTR9ofH0nijl89/9NTIJLa0qTF52z0l9XytVn056XdZoWsvtq0hXP3vQYag4W+7viZ2bjueUO8rvV/Zhviulyzcb+29Xcyz68F/GwNIm4UH1NofreJ8fye1Fi+b+zx6abPiY71NX6NJMp2E1uTxANrXEdl3pJ0oGljSv73ta5f34dZGo+ArWG7Gt5X//r75bJ+0zZZt3GrPP7cO/LyO9453J8aN0V+XbnGND4p3i41WRLjYzzftLYanZtUw2tyXs3uVSS7xcXYPQF3XmeRfA8jte12z4c9CbGN73suUu9XNLXb8gRME+Nj+PnaQL8rxDmyRYOHGihP8rQh9oCjxZaUJnHZGyRl3TyTZ7U9XnI3JZr95odacszlNml7ss0c71xmyR/vW2Iv3Pezy7bf0SbPltZS5LAe4jrlenGfdLXocYyrwATy9Vq1XeI971ka9KxtPZzPe391XwMxdpv5oLC651Ge11p1XgM2T9Qz0fO+XJ1zQl+We9bYTBPiYjw/w/f9TG9s/a9Of+NjijxWlsTEJTaa32Njk9p4+2wV1rjPia5tntiaJbb49BrXUdl9imnW2bQxvmhtresXvhqVAAH3Sm73oQfuJ7cMvEiapqVIumdpkpJkSqc3SZa42BizvzO7UGqy7N5bKE6Xq0bn1uR6nFOz+xTpbrkFDskvdPI6q+H3aaTf/4Zsf2GRS7Lzinjt8dqr99eAPplef8ZW6/XPfQrZfSrIy5Uip0uyCmz+OnMS25g0x+7NUihxsj39aNm0wmnS3OkOUy7pyCI54AKH2NNckrPLJSu/9KbrfdyefJhsPm6IbDnsUtmW1lF2FCWac/YmeOvN3/CbOdaytVly8h38zOR7ISSvpeq+DguKnLI3b99rvrrnU75x/p5f3fvucrtlF9/jDfI9Xt17FU3ls3IKxeH5vSCa+lRXfcnOLTK/G+UWNKL/fy9KN3125G2q8fdmfs4OT2zN7fkdM7XGdVR2T3cUNJU8K1McBbtk75bvanUNE0Rk1WgECLhXcqsP8QTcr7uit/iW/r3PNKWv/ue5onnmoA5XVI0AAggggAACCESSgOUoNM3Vh6aaHc8qd78unrX3X16rY6QgL14ce0XscSLJbdzeDM86IUNk/7NdEpMisnulJbt/9yT6/lmWb89sCz3nr/7jOMnJzpCYPetMGisEEEAAAQQiWYC2I9DYBNxWgjhiWorlypeazpFuc2w1bK74tmZbF6v8pONNtfEFK82WFQLBCBBwD0aJMggggAACCCCAQOMUqFavbc6CcuVd8U0kr9UJUpR2oOR5gu/Za7zB86TW+4LtvpPiPMH25kd507f+EPjXVKcnpv/XxzbZvjpN1q8/UmJyt4mtYI+vCrYIIIAAAggggAACESLgtuJNS+2OLLOtzspy54vdmSVue7y4Y9Krc2q1yjrivcH8WE/A3ea5XrVOpnCjFQj8fzKNlqPyjh960H6yfO548U0tU3lpcutWgNoRQAABBBBAINwELGe+aZIG2c1O8Sq3bVfZc3gfc1Sww2wkqbV3W3ad0cFtRrnrKPit33uD8yXLbP7aMiPkNS0r5wDdSCyj3I0DKwQQQAABBKJTgF5Fq4ArrqXpms2xxWyrs7I5vQMu3Pa6C7Zre1z2NCmKb6+7ElOw1mxZIVCVAAH3qoTIRwABBBBAAAEEEKhSwAowuj3QSb4R7qntvCPZA5U58DyXSd7+gyU6fYw58Kw0AJ+10jLT0ejUM0VWE9mTlSnx23+RBvnioggggAACCCCAQAgEfCOnnfYmIagtcqooii0ePFG0tdqNthd5g/SuuBbVPre6JxQUB9zj85ZV91TKN1IBAu6N9MbT7egWoHcIIIAAAgjUt4DlKDCXdMalmW2gVc5GS3RKGA2W6/Qxgcpomualt/cG5LcXj3LXOd01AK/5bbq5Je1AEVdMouze2UZis9eLFWTAX89nQQABBBBAAAEEokUgkvvhjEkzzbeKR6ubgyBXsY5tpqS7eJS8OaijVVGid4R7bNFa0als6ugyVFsDAZfLLU6nd7BOdU53u92yc3e2rN2wVQoKi6pzalBlCbgHxUQhBBBAAAEEEEAAgcoEggl452z21pDmCZZ79ypeNz/OO7WMPkBVR7Zv+cb7a2vzY92io+NT23oC8ja77NpbPDJqz/qKKyOnIQS4JgIIIIAAAgggUKmAM8Y7Oj3G4R2tXmnhMpk2x26T4ranmW1drvQBr0Wxvrnc19XlpRpF3d37DZUOZ1wti5Ys9/d33qKloum+BN3XMr7lgqvuES3jy9etBs2HjxovD41+XQ8DLhs2b5cTzx0ko16c5M//6ZdV0q3PEOn6j5vl3MvvkNMuvFk+mDHfnx+KHe//uYSiJupAAAEEIkKARiKAAAII1IWAzVFgqnXFp5ptoFXuJu+c7EmtPMHyQAVKpOko9xbHeker6Mh2HRmf1t4tLTyBeC2W1NptppbZW9BGCvKTJW7XH5rMggACCCCAAAIIIBBBAo4Y7zzudkf1ppWxFZd3VTqlTOggiuKLB3kUEXAPhWpGeqo8NW6KaNC8ovpuH3yJzJ40Sj58/VHp1OFQGXz3aHE4nab4rLnfmqD5lOnzzHGgVfbeXLnhzlGSm5dfKlv/T+SWgRfL/KnPyI+zX5EB/XrKvSNfCelIdwLupcg5QAABBBBAAAEEEKiJgK0gy5zmtsebbdmVBsxzi0e4a7C8bH6g4/TDxDxAVfMSMkRanay/HuuRd9F63DEJZh73GEa4e1FYR4YArUQAAQQQQAABI+Aunrfe7vD+LmkSq1jptC52Z5a4bQnijqnbh6b6muKMbWd27Tw41TjUdqUB72UrVssXC3+osCoNyrdukSGHtGsjp53UUZISE/xlu3buJJPHDZfzz+7iTyu5o4H520eMleM6HibnnHFSySzpdOQhcvH5p4vWHxtjl5aZGWbfZrOVKlebg9DVVJtWcC4CCCCAQFgI0AgEEECgtgLumMAB932j28WMTA/2Oodc4JJmHd1y4PmucufptDJue6zs3NVW7IV7xJ7rncsz2LophwACCCCAAAIIhIOA3V3obYYngOzdaTzroljvtDKx1Rg5biue891pq/vpZHx3Qke4a4Bfp7/xPeTWlxf2W52xJ8AidZlWxa/lmc3SZfBVF5pR7s4K5mBf8M3P8vYHc2TshGny8FMT5J4hl0uM3W64kxLjpZUnUJ6clGiOy64ef26iFBY65L+3XFE2y3/83U+/ywNPviYveOq/6+bLRYPv/sxa7hBwryUgpyOAAAIIIIAAAgiI2Ar3GAYdcW52yqxyN1smRUelm50gV3bP79AtT3KLLbb8CUltvGl7cr1/4su0Ml4P1ghEuADNRwABBBqfgMs75YXLim90fXfFFE8pU42R4/YijRSLOIuD9fWF5oj1/s4ZU4221lfbKryOzvq4xJNb38tSzzWr+HfFxT1l09adMnPutwFL/rl2kyxZukJ+XblGUlOS5LWJM2TVmo0By5ZMfGfqHJm36EcZPfwmiY2NKZlVan/Tlh2ydftuKSpyyO6s7FJ5tT0g4F5bQc5HAAEEEGgkAnQTAQQqE7DpnDGeAjvXp8vu3z07Zf5l/eVNSG7l3YZirfO8J2SIFEgTM61MLNPKhIKVOhBAAAEEEEAAgXoTKExoL05bmujI8WDncY91eIdP13fAvSC+vXGJL1hpthGx0gHh+plGfS/Nq9ZJS02W66/sLWNefk+KHI5yJ+jc6qMeHCxjRgwx87i3yGwqEz3B9HIFyySMf3emtNu/pbz4xofy+HPvyPIVq+WrJctl3FvTS5XU6WjGPjZUnnroZnl0zFuybmPJ5wiUKlrtAwLu1SbjBAQQQAABBBBAAIGyApbDOzJr9dLDZON8m/z1sU1yNnpHtRfuFXF4FnucSHIbd9lTa3Wc3EbEHZMou3e2kdjs9WIr8I60r1WlnIwAAgiEqwDtQgABBKJQwBHf1vQqIUeHYZvdSlc2x26T77LV35QyekFnnEatRWxFoQvMar11usR4aj+hAZZjPNcM4t9lfXrIzt3ZMunDLyotrVPJHNy2taxeV/xQqEpKX3PJuXJCp8MlPS3FLHa7TRLi46RJSlLAszQ4rxnbd2bpJiQLAfeQMFIJAggggAACjVuA3iOgAgX5yboxS67nd+E1MyzZ+KUlu5Z7f+VMbRfaYLteSOdxF8tzjb3eP/GN3bNOk1kQQAABBBBAAAEEIkQgL+VU09Jgp2qJKZ7v3VHPU8o4Y1qY0fh2V5YEOxrfdIxVhQL6INSh1/WThYuXlSujgXidckanlvno06/krfdnS9fOR5tyTqfLTAXjdDrF4XCafZfL+/8a/7ywu1x3RW//8rdD28lxHduLpuvJH8yYL58v+F6ysnMke2+uPP/6NPNA1kMP3E+zQ7J4/+8nJFWFZSU0CgEEEEAAAQQZMvbiAAAQAElEQVQQQKAeBHRkudMRJ26bXXSal+bHukVHtO9eacmO4t+f45uFviFJrd0SkyKyt3A/0YB/3K5Vob8INSKAAAIIRIIAbUQAgQgVcNnTxBHTUjSQHZf7c6W9sNz5YrnyPb9zJoieV2nhOsj0jcaPLVxbB7U3ziovOq+bZKSnluv8E89PlLP6D5PeA+42D079z6D+ckXfs0259z6eJ8ecPVCmTJ8nU2cuMPtTZ843eVWtijwB+pvvHSOn9L5RTj5/sMz96gd55uEhZp74qs4NNp+Ae7BSlEMAAQQQQAABBGok0DhOshVki8MZI2LZxRYn0uI4txzUxyVmBLp4v9Lbe0edeI9Ct07xBN1dMYmSld1K4navkvhty0NXOTUhgAACCCCAAAJ1LGBzeKeycNvS6/hK4Vt9ftLxpnHxecUjNcxR+ZW90Dudi7Oep5PxtaSoeB732LwImsfd1/gw2X4+ebSc3qWTvzXxcbEyf+ozoum+RN1fPne8+JZP3hwp11zSS+x2mynS/4Iz/Xm+Mn17dTN5ZVc6D/yw6/v7k/v3PkOWznnFXG/O5FEy+91RcvLxR/rzQ7HjbWUoaqKOyBOgxQgggAACCCCAQAgFdIS527JJXKo3sK4PNT3gbLccfKFb2p7jHfEewsv5q0pq5bmezS5bsryTRSZu+FpsBczl7gdiBwEEEEAAAQQQCHMB/8jxorVic2ZV2NoYZ3HAPbZFhWXqMsM3jU2sp511eR3qrlsBnRO+ZWZTaZWZITabFfKLEXAPOSkVIoAAAggggAACjU/A5izwdtoq/+tlQnO3pOzvCYp7S5Rah+IgqY23lt15B0pR6v5iL9wjSRsWeRNZI4AAAggggAACCIS9gMueJgWJHU074woqHj1ud3oHVTgbKOCu7XTEeB+eGluwzrSXFQJlBcr/H1HZEhwj0DgF6DUCCCCAAAIIVEPAcuZLQWGS6ANMdU51qccvHUmf1Mp7wfXOc2RPVqZs+0Fk/cxC+fMDm2xfGvpRK96rsUYAAQQQQACBKBCgC2EiUJjgDbjH711SYYtshVtMnsPeMCPc9eLO+La6kbjCij8YMAVYNVoBAu6N9tbTcQQQQAABBBBAIDQCvulbHM54U6HduzH79bVKPdA7gn79N+mybOWFsmHtkZK3Yofk7xTZ8VOkBtzrS4/rIIAAAggggAACDS9QFH+AOG1p5uGpFY0e908pE9dwAffCuPYGy17Ag1MNBKtyAgTcy5GQgAACVQpQAAEEEEAAgQACTmeCSbXHeoPf5qCeVqntRCybJfY4kfh2adLiwK1y2GFfSpJsFGehSO4mgu7CFwIIIIAAAgiEpYDN5Z2z3BnTJPzaV88tciQeZq4Yl/+z2ZZc2ZxZYrnyxW1LELfl/b2zZH597esHA9qGGMeWSuebr6/2cJ3wEyDgHn73hBYhgAACCCCAAAIRJWAv8M6luW+Ee/0Ht+NS3HLEv5xy+JUuOfA8l6T3ai8ZzTZKZsovIi6nZK+t/zZF1E2MwMbSZAQQQAABBBCIPoG8pONNp3Qed8udb/Z9q5gi7wNTG3I6GV9bfG2IKWCUu8+E7T4BAu77LNhDAAEEQiFAHQgggECjE7CcBabP+QUpZhubWv8j3M2FS6xc8U0kd7+TJT1jo8Tmb5e87SUy2UUAAQQQQAABBBAISwGXPU2KYtuakeyxeaXnSPf9JYArzvvQ0obsQFFie728JOR+J8nZn0tc/kop+wGBKcCqUQoQcG+Ut51OI4AAAggggAACoROwHN7RRw53oqnUFmc2Db4qaN5BmqRtE21f7maRwr0N3iQagEA9CXAZBBBAAAEEIlegIPEo0/jkvZ9Lwt4F/kC2vXiEe1FMpslvyFVhvDfgrtPKxOcslpTd70vTLU9L2rYXJDnrE9PuuLyfzZQzBOIb8k41zLUJuDeMO1dFAAEEGqcAvUYAgagUsHSSdE/PXI5Yz1rMPOpmp4FXOsq9KHV/T9B9uwm6F+ywGrhFXB4BBBBAAAEEEECgKoHCpI5SkNhRdL72pL0LJX3biyaA7Qu4O2MbfoS7jsTf1fIW2dP0UslNOdWMytd53e3OLIn3BNq13SmewHu6JwCvgfiq+hyV+fXQKZfLLU6nqx6uVL1LEHCvnhelEUAAAQQQQAABBMoIWE7vCPciV5LJ0QeXmp0wWDmTW0jTphvEchZJ9powaBBNQACBBhegAQgggEC4Cdjc3un53Lb4cGtag7UnJ62XCWYXFU8vowFsHU2uDXLZm+imwRd9cKsjvq3kp5wm2c0ulV0tbpGs5v+SvZ62FySfKEXx7cVpT2vwdoZbA7r3GyodzrhaFi1Z7m/avEVLRdN9CbqvZXzLBVfdI1rGl69bt9stw0eNl4dGv66HAZcNm7fLiecOklEvTgqYr3XqNXQbsEANEwm41xCO0xBAAAEEEAixANUhELECNmehFOQni1tsEuOdxl3C5cs3wt3uzJW9mxjhHi73hXYggAACCCCAwD4BHcmtRxrA1S2LV0CD2RrI1lHkGnjXVEdMCwlnJ6enfYWJHSUntbtkN+0rWZmDREfCa9tZ9glkpKfKU+OmiAbN96WW3rt98CUye9Io+fD1R6VTh0Nl8N2jxeF0mkKz5n4r3foMkSnT55njQKvsvblyw52jJDfPOziobJkVq9bJbQ+NLZsckuMgAu4huQ6VIIAAAggggAACCESpgM6Rbrpmhd+vlo6kTElK2SUJMbvFsVckf6dpKSsEEEAAgYACJCKAAALhJ+APvDcbIDnpF4ZfA6toUTh/QFBF0+ss+5aBF8uyFavli4U/VHgNDcq3bpEhh7RrI6ed1FGSEhP8Zbt27iSTxw2X88/u4k8ruaOB+dtHjJXjOh4m55xxUskss79tx2654a5R8uBtV5eq12SGYBV+/1cUgk5RBQIIIIAAAghEmQDdCWsBy1EgBQVJ4rYsiQuzEe46j7sG3VNTt5hpZXIY5R7WryUahwACCCCAAAIIVCTgiG0tzpiMirJJr0hg7+8i9by4c1ZV1BqTntksXQZfdaEZ5e6sYA72Bd/8LG9/MEfGTpgmDz81Qe4ZcrnE2O3m/KTEeGmVmSHJSYnmuOzq8ecmSmGhQ/57yxVlsyQvv1Buuudp6XtuNzmvx8nl8kORYAtFJY25DvqOAAIIIIAAAgg0dgHL6Qm45yeLWDaJS3VLuH05kzKlaTOdx71Asv+ywq15tAcBBBBAIEIEaCYCCCAQcQKOHHFvfLfeF9kyrUqqKy7uKZu27pSZc78NWPbPtZtkydIV8uvKNZKakiSvTZwhq9ZsDFi2ZOI7U+fIvEU/yujhN0lsbEzJLNGHrP73sZdlv9aZMvjqf5TKC+UBAfdQalIXAggggAACCCBQ/wINfkVbQbZpg9sWa7bhtipK3V+Sk7PEKsqT3M3h1rratSd3kyXbfuBDhNopcjYCCCCAAAIIIBClAjZPwDnlMJH6XpIOrhI0LTVZrr+yt4x5+T0pcjjKlR/Qr6eMenCwjBkxxMzj3iKzqUz0BNPLFSyTMP7dmdJu/5by4hsfyuPPvSPLV6yWr5Ysl3FvTZftO7NE539PTUmUJ8dONPk6x/ukj77wpC8uU1PNDwm419yOM6sUoAACCCCAAAIINBaBgsIk09Vwe2iqNsqR3ELiE3IkPXWDHooGqc1OhK8K94qsm+0JuH9vRU2fIvyW0HwEEECgEQvQ9ZoK2JxZ5lSnPc1sWSEQUgFbvFht/ln/S6vgRo9f1qeH7NydLZM+/KLSbutUMge3bS2r11U9euaaS86VEzodLulpKWax222SEB8nTVKSJCU5QW4ZeJHs16q5ydMyeuGU5ETRaWp0PxQLAfdQKFIHAggggAACCCDQiAXshVnicsSK2Oxijw8zCE9zdEoZtz1BUpK2i7ickr3W8qRG/r+N82ziLPT2Y/dK75Y1AggggAACCCCAAAKRIqAPQh16XT9ZuHhZuSZrIF6nnNGpZT769Ct56/3Z0rXz0aaczvteVOQQp9MpDodTdF+ni9HMf17YXa67ord/+duh7eS4ju1F0/V6JfN0X9N6dT/ZX7fWUdvFVtsKOB8BBGomwFkIIIAAAghEg4DlLDDdKCqKM1t7bPjN4a4NK0rdT9IzNoq2N2ejpoRucXu6vHd9/QbxczZaZnocu5dddq+0REe8h65X1IQAAggggAACoRKgHgQQqFjgovO6SUZ6arkCTzw/Uc7qP0x6D7hbxk6YJv8Z1F+u6Hu2Kffex/PkmLMHypTp82TqzAVmf+rM+SYvHFYE3MPhLtAGBBBAAAEEEEAgQgUshzfg7nQnmh7Y4+s38GwuGsSqqMkB0iRtm8TLHsnfKSENTm9ZbJO1syzZ/Xv99F1HtW+Y771W5nFuSW3nifh7DHKr/0GC5yz+IYAAAggggAACCCBQfwKfTx4tp3fp5L9gfFyszJ/6jGi6L1H3l88dL77lkzdHyjWX9BK73RvK7n/Bmf48X5m+vbr5Ti+11Xngh13fv1RayYPFM14o1Z6SeTXd97aypmdzHgIIIFAnAlSKAAIIIBApAjpiXNuan5+sG/GNuDYHYbTSaWW0OU1SiudxD2FwOmuF1ixSsMsbBPce1d16+w82cewVSWolktHBLentvdfauZxf7b0SrBFAAAEEEEAgcgRoKQLRJ8Bv5dF3T+kRAggggAACCCBQbwK24hHuDleiuWZMqne0tTkIo1VRk/1F53HPSPtLxO2W3Sttsvt38S87fnNLzpbqN1indtER53pmYXbd9z1/p8iO4ikuM4/1Xk9HuOvDajVPF20LSwgEqAIBBBBAAIF6ELDcBeYqbivBbFkhgEDkCxBwj/x7SA8QQKCRCdBdBBBAIJwEbAVZpjkOZ7zZhusId22cI6m5mVZGR+XnbhbZON/mX9Z8YckvU9zVnmpm77p9o9qdBfv29Xp1sWxe5P31vdlRIsltvAF3vU5Ka+/+zmV13wa9HgsCCCCAAAIIhEbA5vQF3L2/S4WmVmqJFgH6EZkC3t/YI7PttBoBBBBAAAEEEEAgTAQiIeCuo9zjE3Kk7aG/Snp7nYpl35LUzAu55evqBax1lLz3TJGCnb69utnuXG75H5Ta/FhXqYs0P84bcN+7qXrtL1UJBwgEL0BJBBBAAAEEEEAAgQoECLhXAEMyAggggEAkCtBmBBCobwFb4R4pyE8Wy2YTndZEwvjLkXqAaV3rNr9Lm27uUstB57olLlUke41lppkxBatY+aaT8fXbN7VMFafVOHvb995gura97F8SxKWImdNd53Yv+SFAjS/GiQgggAACCCCAAAIIhLVA+DaOgHv43htahgACCCCAAAIIRIyA2wr/XysdyZnGMzZ7vdmWXMWnWrLfid6UrT8E1xffdDI6Wj4hw3tuXc2hXrhXRAP6GmjXOdu9Vyu9Tm/vHfWu89OXzuEIAQTqVYCLIYAAAggggECjFgju/yYaNRGdRwABBBBAIDoE6AUCnatkgAAAEABJREFUdSFgL9gjBQVJ4rZiREdZB3uNIsmWXPemYIuHpJzbHi+OpOKg+57yQffmR1hmlH6wo8R9I8nTD3OLLc7bRFcdzeNesMM7uj2+OLDvvVrpdeqBIhqQ1/npNUBfOpcjBBBAAAEEEAhHAcud722WLd67ZY0AAhEvEA4B94hHpAMIIIAAAggggEBjFtApZbT/9njvPOK6X9Wy3fWjbHbNl62ub8UlhVUVD1m+o4l3Whl77raAdbYonhtdR7lXFrT2TSeT1ErMBw1xqd6+59XRPO55O7zNTWzu3QZaa7DdN/p913J+zQ9kRBoCCDS4AA1AAIGyAsUBd5ctoWwOxwggEKEC/CYeoTeOZiOAAAIIIIBAKAWoq6YCtoI95lS3zW5GV5uDKlYaYM8rHt2+1/2XrHN+JkWSU8VZockuSt3fVBS36w+zLbtKP0xEg9Y6yn178ZzpZcvosW86maTWbj00I+N1x1mg69AvBcWB/PimrkorT2/vzc76y7tljQACCCCAAAIIIIBAtAq4XG5xOiv//ThQ3/W87TuzJCu7bv4fxBbooqSFkQBNQQABBBBAAAEEwljA8kSYCwqTRCy7P+gsVXzlu72jy+MkXXRxeoLtGzxB92zXaqnrL9+UMjG52yu8VMuTvUH03SstCTTKXedSLzmdjFYUl+I9xxcY17RQLnnFU8oktam8Vv0AQB/iqh8YbPnGJtrWys8gFwEEEEAgbARoCAIIINAIBLr3GyodzrhaFi1Z7u/tvEVLRdN9CbqvZXzLBVfdI1rGl69bt9stw0eNl4dGv66HpRYt7zvXt31+/FRTRq/b+bwb5PS+t8gpvW+Uq299TJatCO3/hxBwN9SsEEAAAQQQQAABBCoSqCzdchSKyxErbiv4XyvzxBtwT7L2kzb2MyTNdpiZVmabe7HscP9Y2eVqneeKbyI6yt1y5kv8tn2/5JesWOeiT2/vNkmBRrnnb7dEA9m+6WS0YFyqpRtx1sEc7notDaDrlDHaNnOhSlatPR8YaNkdy0RWfWCT/OLR8ZWcQhYCCCCAAAIIIIAAAvUmkJGeKk+NmyIaNK/oorcPvkRmTxolH77+qHTqcKgMvnu0OJxOU3zW3G+lW58hMmX6PHMcaDXk2ovkkzdH+pfL+pxlilk2S+4fOkC++ug5+XzyaElOSpDnXvMG402BEKyC/z+jEFyMKhAIsQDVIYAAAggggEADC9icBVJUFCdi2cQ3yluq+Nrr2mBKJEoL8ZwlzaxjpJntWLOf5fpdstwrTX5drQqaH2mqjt/+i9kGWjU/zm1G7Oso978+Lh20zvrDe4aOJvfuicQUz+EeaES8r0xNtxrg13NjU3Rd9aJT4hzUxyUJGSIaqF/jaf/O5VbVJ1ICAQQQQACB8BWgZQggEEUCtwy82Iwq/2LhDxX2SoPyrVtkyCHt2shpJ3WUpMQEf9munTvJ5HHD5fyzu/jTyu5kNkuTdvu39C/pad5fpk8+7kjp3fMUSUtNlpaZTeXvZ5wkX3691B/MlxB82UJQB1UggAACCCCAAAIINFIBy5kvTkesiGWJPb7qoG6R5IhOIWOTOEm0ZYrvK81qLy1sJ5rD3Z6gu5YzBwFWLnHITtdPUihZAXKrTirI7CDOuCYSm71efHPQlz1LR5I3P8otOlI8d7PInx/YRKdo0YB69hrLFG/myRcxu54PG7xbDXB790K3zt/lrSuhmXfUvfeo8rW2v915Lml2lIiOkN/8tSXrPrMkZ6O37ZWfTS4CCCCAAAII1JeAzV38ABgemlpf5I3uOn/+5Zb6Xv5a66rUObNZugy+6kIzyt1ZwRzsC775Wd7+YI6MnTBNHn5qgtwz5HKJsdtNvUmJ8dIqM0OSkxLNcaDV5Onz5N6Rr4hOJbN2w5ZARUzawiXL5Ij27fx1m8Rarmy1PJ/TEUAgXAVoFwIIIIAAAnUs4AtWO1ze0SYanK7qkvmuraaIzt1udkqskqz9JNU6UDQgv9u1vERO6d3NzgWy2/2b7HItK51RjSNHE+/DU5M2LKrwrIwObjn0n96gtRbSKVpWewLvGsBOaiVStr86d7qWyw/xFC4FO7RWkfhm3m2wa21fy84uOeAst2lr9lpL1sywZMUb3g8PNPiufQm2PsohgAACCCCAQB0IuPJNpU4rzmxrtOIkBCoQyM1zy7QZznpfZn3urqBF+5KvuLinbNq6U2bO/XZfYom9P9dukiVLV8ivK9dIakqSvDZxhqxas7FEiYp3zznjROl28tHSplVz+XzhD3LRwAckUND9o0+/El3+c33/iiurQQ4B9xqgcQoCCCCAAAIIIIDAPoGCwhRz4JtWxRxUsMovnr892bZfwBLptg4mPdv9lxRJjtkvucpyr5R88Qbt89zeueBL5ge7n7uf989PY/asr/QUX9D64D4u0SC7L0CdeqC73Hk6qlwTXSGexz2/+IGpCU219uovvilmdLS79kf7oB8eaPD9j3dt4nsAbPVrrvoMSiCAAAIIIIAAAgg0nECM3ZKDD6z/pe3+VpWd1ildrr+yt4x5+T0pcjjKlR/Qr6eMenCwjBkxxMzj3iKzqUycOqdcuUAJN/6rj9ww4EIziv6d5+/zBOwTZc7870sVXbh4mdz16EvywLCrpMsJ3v8HKVWgFgcE3GuBx6kIIBCxAjQcAQQQQCAEAvaCPaYWhzPebINZ5bg3mmIJ1r7pZExC8SpWks1DVMXztcW50LPe969AdssOl3eeR5vEmQet5tcw6O57eKq9cI/EV/DwVCnxpfOhH3ied7R4xlEiGUeWD7jb471phdnebYnTa7VbtNd7ekLzmterHwboaPfDr3RJu3Pd0vxYt/8DhN0r+V8CrzBrBBBAAAEEEIhCgUbdpbg4kQvPtdf7cu5Zwf1+eVmfHrJzd7ZM+vCLSu+TTiVzcNvWsnrd5krLBcqMjY2RzIx0ySso9GfPmvutXHf7k/LwnddK/wvO9KeHaie43ofqatSDAAIIIIAAAgggEDUClrPA9MXp8gbcNahrEipYFUmOCZJrsDxe0qWiryZWe7F7Au+FsluyXatFv1xSKJuLA/BptsMk1XagJku225tvDqq58j08NWGLN4gfzOmp7dzSqrNLLGtfactZKImbFktihsskFu4tkWlSar4q9ATbPdWLTlejo9NrXtO+M5PbuKXFcW5pc7q3vQUhngJn35XYq1yAXAQQQACBigRszixpsv1VScj9rqIipCOAQBQI6INQh17XT3S0ednuaCBep5zRqWV02pe33p8tXTsfbYrpvO9FRQ5xOp3icDhF910u7+AUnTpm/KSZsnnbTiny5E3/bJEsW7FaOh97hDl32qyFMuzB5+Wumy6TkzxpGzZvF11y87zTO5lCtVzZank+pyOAAAIIRJsA/UEAAQSCFLAc+VKQn+wJoseYOcKrOi23eHR7stWm0qKxnmB7hnWk6NdO9y+6kV2erc7troH4pp68ZPFOSZNbwxHuWmlBZgdxxjWRmNxtYttb8+lpUn+fJknrFkhK7s9arYTywam53j8IkMQSD0yN3bPejMpPXjtPmvw6WVJXfOC5rvd/MDw7Qf/TD0h05L4G9HM3he5DgqAbQEEEEEAAAQQCCFjufEnZ9YHEOLZJ0p7ZkpAT3UF3u7t41C0PTQ3waiCpzgXC4AIXnddNMtJTy7Xkiecnyln9h0nvAXfL2AnT5D+D+ssVfc825d77eJ4cc/ZAmTJ9nkyducDsT5053+TpasLkWdKj3zA55qxr5c5HXpQ7b7xUjj/6MM2Spb+sMtvHnn1bel5ym3+ZNXexSQ/FioB7KBSpAwEEEEAAAQQQaIQCOrLb1+1gnvOV795qisdZVU9Gnmo7yIxy1yD7FtdCyXL9LjaJkzb2M8w2wcr05xfIbqnpl+/hqbEbl9SoCg1+x2Z754FPdq0xdRRmW2YbilXBLu+v6/EZIil/zpJm346WJr9NlpTVn0rC5u9Frx2X9ZcnAO/9YKK610wu/uxDH6ha3XMpj0BdClA3Agg0XoGkvV95gu1bxF0cgE7Kni12h/d3iKhUcXlH1bos718MRmUf6RQCJQQ+nzxaTu/SyZ8SHxcr86c+I5ruS9T95XPHi2/55M2Rcs0lvcRu9/5u3P+CM/15vjJ9e3Uzp7fdr6XMmTRKvvxgjMx8+3FZOucVGdDvHJOnq/uHDih3rtbR59yumh2SxdvKkFRFJQgggAACCES9AB1EAIESApYzXwoKkkTsMaKjpUtkBdzNKx6NnmQVR3kDltqX2NJ2kjnIcW8w26a2DhIryeL7SvIE3XU/v7he3a/ukrtfF3OKfccqEYd3ihyTEOQq2RME9xWNdXkD/zoNjC+ttlvffPBJafkSv90bVHckZUph+iGS0/YMyd3vZHMJX545qMYqta13ZHxO8Uj6apxKUQQQQAABBEIuEJf7s8TnLDbB9j0Zl0puyqnmGik73xedZsYcsEIAAQSqELAsS5o1bSIHtGkhOv+71OyrxmcRcK8xHScigAACCCCAAAKNW8DmLBSHI1bcYhN78QNDd7t/kz0B5lXPc20TlxSaUemxJYLmUsmXjmJPtQ40JZJlP0mz2pt93yrZ8k4rk+PyBuR96dXZ+h6eajkLxL59pTnVnrtNEjb/IKm/f2gWzTMZZVZaRh+6qtPSuO0Jkpy0XcTtDu2UMsVTvaTaPB8IeK5flLq/ZB11hWQfdoHktzrWsxwnem0d6W4rfoitp1jQ/+KLp6rJ3ykSyg8Kgm4ABRFAoAYCnIJAdApoQD157+emc3nJp4kzpoXkp5wmRbFtxe7KktQd74hON2MKsEIAAQTCWICAexjfHJqGAAIIIIBARAnQ2EYnoHO4Ox1xIpYn4O7ZaEB9p+sn2e5aLDtdy6XkV6HlHf2dYvMGyUvmVbbf3H6cNLN1khb2U8oV04C8JubLVimSHN2t0VLQ3DtffMyquZLx3VhJX/amJK+dK3G7V5lF50kvG3TX46QNX5vr5Rx8jjiSmpv9WMvbjlAErz2fZ4gudo9tkn2bqb+w6aFm61u57fFS2PRgc5i45Qezrc7K1N3Ke0bBDsu7wxoBBBBAAIF6FtBAugmou/KlIPEoyU8+3t+CvRl9xGlLEw26J+/+xJ/ODgIIIBCuAo0i4B6u+LQLAQQQQAABBBCIZAHLUSBOHeFuWWKPt8TpCXtL8ddu93LJdq0uPhLJcXlHoce50/xpwexY7hhJsw4Xy/Nf2fI2iZMEaWGS8101n9tVH57qik8Vy5lvFkdSpmgQXqds0dHr+lDVskF3DbZreR1xXtRkf3Eme9uRHL/ZtMcRgnncfQ8y1fnbY3euMvU6PW0zOyVWBc07mKPYnX+YbXVXqQd6p5XJ9k5BX93TKY8AAgiElQCNiUwBnbddA+oaWM9t0qNUJ9xWgmQ3u9QE3eMKVkrqrvclLu9n0SB9qYIcIIAAAmEiYAuTdtAMBBBAAAEEEEAgmgWism+Ws0AcrsJ/lqkAABAASURBVFgRyyZWrFuc7lwp+bXNvVgKZLeZSqbQsxXPV3IlI9xdnoB9tvsvT6ng/6Va7UzhXKndJOQFR/aVwg7/kJ3HDzZTtuw9+BzRKVv2HNFPygbdY/esl4TN35vrajnd0cC7bmOtvboRHZludmqx8o2ST07JEnthlujUMRrcL1ulpmkb7YV7RNtWNr+q4+TWblNkb/H0NeaAFQIIIIAAAvUkEJe/0j9vuwbWNcBe9tIue5rszehrkmM9QfeUrE8kfduLZpqZhNwlEsnBd5sr3/TLbUs3W1YIIBD5ArbI7wI9qJ0AZyOAAAIIIIAAAjUTsBVkS0FesrhtsRKX4pYitzfYrHOrp1sdTKWbnHPN6HaXFEqcpIuOSpcAX0WSI+ucn8o217elRsYHKOpNcrnMNsHmHVnueyCrSazBypXcXFzNDhW3Pb7U2TrHe9mge+KGRaZMfqvjRPP1wBnfRDeSkuid+iVvhzms1aqguI6U2PWmnqLUiqfjKcj0TosTv730VD7mxCpWCRkiMSli5p7XudyrKE42AggggEDECoRnw2OL1pmG5SUdLy5PYN0cBFjpnO67Wt4iOgJe53W3PIHq2KK1krRnjjTZNj7AGRGS5CqIkIbSTAQQCFbAFmxByiHw/+y9B4BdR3kv/ptTbr93e9GumlVsS3KvGIwxzYCBGAzmQeIADxJCSUzIS8gLKSSBl/8jeTEEElpCCaE49OqCbdx7ky1Lsq26K+1qe7n9njb/+Wbu2b3bd6WVrDJn73zTvinnd8/uzvnNd76jEdAIaAQ0AhoBjYBGQCMwHQFyKTO9zICNRmMLUmyttG4nS3eII14lx0VyyofI9l5BzPtQ/s9H+A5Q2RSlmow1NIam/7wNsee6YSMpiXwi9Mt8EEfjIFK9lnSnF5RyM4Zi50smhiNXL1RmsRKW68WpocV52lZEhJtZNTHe9EToViY6tAPGYbw8NVW1ci8PTe9Z5zUCGgGNgEbgVETgWJ6zVX5BDufZq2U8nyDr93LiIuliJiTf/ap/90hx23xNdZ1GQCOgEThmCGjC/ZhBrQfSCGgENAIaAY2ARkAjcHIhQG5O/CACGCYiaQYXyqWMiSToaDUuQQSTj0cn+EwLbSLWQ7KddJPoBBHvY8GsltqgI/Ho8xQhslf5Sw+J/Byf9BkvFZZR1JLu1C2R7dOt4b1EMxKpMTCvBCfHSO2wg+8oi3PqIOkp3+xOw3rKzhpofhNubbKKoJ9VcY7CRLtyK5PrPrJ5z9G9LtYIaAQ0AhoBjcCsCJArGNMfBzdi8KILE+61nYTkeyn1Mlkczz8gYy00AhoBjcCLjYAm3F/sb0CPf5IgoE9DI6AR0AhoBDQCpxYCzK/IE66UEzK20lwS5ZQxWYQiGTrMK2EiCSao96gx9YWpLgoIyfbUSBTrX+jEaQ9kwXwO8uVO9bKTGmEfGgH6D6CIfnijXSgFg6J3ReQX+VQLd2o/GjyLMqaW13Q3kXyuMorHSvO/eJVI7fFz3o3c6ddI/+4TjasJenGqZXowAheBIMyrxYcVuco7D5KpLCyzArKep/Hn66zSHLqV2TGf2qx1iQ5VHL6oVeW01AhoBDQCGgGNwNFFwC7vkgN4ZquMD0c4ibPlC1Xppat2ZembzksfU7fQCGgEjhcEgoDD95WryaXOyfN99A+OLrXZovSNRWlpJY2ARkAjoBHQCGgENAIaAY1ADQLMU4Q7N6yaUpU0+GSZgQjWmG/EGuO3QGmlAbD8OPjDt2P1r0ew+SYXm34ONNz+IDJPdaHzSQ909PszLdXsrdvgQrHR3Clg/NCdGKlaw5NlfAVjKPJDOBTcgz3+t9HL78JB73YsdPzT0FP4PwNPYNAvzavKDRtO/bpZdcjCPBIrwPDLOFJf6KFrl5TVLcdyGmYfU1ZWhdNIPuhjIJc3S3UrE0kB5MudLOs16V4FVEcaAY2ARkAjcNQRsL1BOYYb3yjjwxWVxFmyaaR84rmVYVytqXwrI89BC43AyY7Aq677GLZc+V489PjkE633PPQ0qDw8d0qTThh+6z2fAOmE9RRzzvF3N34Tf//Z/6TslED6Ydsw/uI3fyp1iGj/1Ge/hVe+7Y/x9t//G1x9/Z/j5jsfkXXLJTThvlxI6n40AhqBORHQFRoBjYBGQCNw8iEwYeHuCKZWnB4Rti5XLmVspspE8cTHYFOXnfZ9D6Ju5xhSfQaS5Qws9CGod6X+ykfziOQZHIwhF0y6iank94H37UMQEXWrWmEjhfgIRxkDcHhWhr3+TdgX/BAj/Bn4UGbmFTaM8IWumOMYq5qkd3u5OTQWLqYXp1qWI85F+aIn8nrhVrNrVEYVXsmocpvjJRa2/ONmFCExn6i+2HX23mcvTXaocu1WRuGgpUZAI6AR0AgcfQQm/LcfgYU7zdKJn00RoqVtYuN7XKZPFMF4+USZ6qLmqZU0AotBoLE+jc/9+w/BBWk+l/6fffiduOP7N+Ln//kPOHfLBnz4Lz4LIstJ/7a7H8UVb70BP/zlPZSdNdzw/rfh5m9/ZiL89ltfI/V+esv9+PmvH8TPvvkPuO+nX8Dv/86b8Mn/9w0US8v3u6hW8nI4LTQCGgGNgEZAI6AR0AhoBDQCi0PAKgzA8yIIBL1sRlQbF4poNllCFcwhA0GEsxHlvsW7/GLwc3rhnV1E8fL18DqTMMTCe+UTyqf4CN8hxnBQwRi8Fx6DPFafDmvNObCRxIr+dagzRJ7F4bOS0HURQQYNbAvWGNcIjU7QUeC9FC0YHq+oeS2oOIuCn2gBuX5JJkeBwEdlmM2itbii0pDSS8f6ZcKZx3+7VKiKSvMWmbKyB2FXQ2R0D6KD2xEZm9y8kErTRHq1wjwce1r1iZ7V89cIaAQ0AhqB4wwBwx+HKcLh+G+ffiqBWYdKlXTXvtyno6PzGoHjD4GP/t7b8ezz+3DXA0/NOTki5Ve0NmL9mg5cfsnZSMRjE7ovv/Rc/ODf/w5veu1lE2XTEy1NdVizsm0i1NelQMfA0Cio72RC9XfhOadLsn10PE/VyxI04b4sMOpONAIaAY3A4SKg22kENAIagRMTAeY78D0bzLQQumznUBbqC52RMTIKw+FgYtEcL9wHxovwBFldWHMl8pddBJhA604HqT4GchMzHGzFQOkuNO4sCZI9hWDDGfCa1GPXsf4cmth5WGO+BfVsEzrZ67DRfA86jFchxVYjwdpBRxEHKZo1FPnkvHdUBFk+q9biCr1EM0zDAT0BICBaXKNZtCojEH24SCRG4EfqsJD/dlQPN7NS6GdgOllknvuBDOldP0dq36+RfuGnknivqs6IEiu4LCv2AUcyd9mJFhoBjYBGQCOgEVgAActRbtM8e9UCmourDl+euhQrd9MbQLxALuyCxQ2itTQCR4TAi9PY27UdxzzseW7ek21pqseH33ONtHL35/DBfv8j2/Ddn9yJL33rZ/j0576FT9zwO7BMU/abiEfR3tKIZCIu87OJH/zyHvzVZ74GciXT3aOMWEiPSHqyZn/nB/8Ot/zmEfy/L/833nzVS9HZ3kzVyxI04b4sMOpONAIaAY2ARkAjoBHQCJxaCFjFAUG4RxAwC1ZEnTtZrlPKRhLzHofEDTbniGFYEsN+JIPspusgXaI0d8Lv8GB4eay/Pyq7yfH9qN9ZRMQRC+q2VXBXNMJvzMBPJsAcF+ZIVhDxSXQar0G9cbpsE4okVsvkfBbuhcBDh5XHWiuLoaC0oB932eEcgl6cGosXYPoVOPk5lBYoLvSKjQYHiFrDIBc1XqZzgRZTqwvrroLTsAHkUz4MntjQIK14z8MUzRkSan8C2o/7nBCdnBX6rDQCGgGNwIuAgO0ckKO6UfW/WmaOQJCVu2urvqyKWGss0FekvAuZke8hnrsfkfKeBbR1tUbgxESAF/Mof//rxzxUfv69BQG7/u1X4dDACG69+9FZdfd2H8LjTz+Pnbu6kE4l8I2bbsGert5ZdacXvu7Ki3HFS85BhyDRf/PAU3jb730SIene0tSA88/eiKbGOvzTl27Cnfc9ide+/KLpXRxR3jii1rqxRkAjoBHQCGgEjiICumuNgEbg+EXAZRXsqo+ibBXhpnowzJ+CL32QMnDxM9/M+XA/omUHRtyT1tgh2U5tyJK7dN5G8ChHbKyC5t0WFaNtp4UI0iidvxHh4TelZdIazsp4NpE0VoLBgIPROf24R1iAi2KDuCA6gATzsNMZweEeRHBHIkWwwIGXZ4fVTaFPNWvO7JYJ6lMmFinczCrkNr4ZhGsYxs+6XmJtOlmQe5m5ukqv5bIq1yWjJYt9Pzex67/1LcaSgdMNNAIaAY3AKYhAaOHuRhRJvhwQlFOXy24WcisTy9+P1NiPxf/rstS3XUX+y4wWGoGTCAFmWrA2bjnmwVw31QhmNkjr0kn8we++GZ//jx/B9TxM13n3dVfhxr/9MD7/qRukH/fWlgbc9NM7p6vNmv/I/3wrPvTua6QV/fe++NeCsI9LYp2Uv/ytnyGbK+Kr//inuP2mf8affvB/4Ia//jx27TtI1csS9Gp4WWDUnWgENAIaAY2ARkAjoBE4eRBweW7ek3FRQFfdAZRgwzcCOPYQxoKdcNg4yhhCj3/7nO2FNozREdiuC2SA3Om/NcNdCvkhD1a6MJxxrH66AWufbkXcycBta5TW7dS5le+F295ASdh98xPkCayQeiUMyHi64BimM5HFp0fHsdMdlenDEWRJHokVpDuYw/WFHlqXN9Ur1ttp3HA4U5nRptT5Elk2n5V7eg0H+eQf28VQnh9W2VetGHiSoTTI4eYB7ZKmFhmdPsER0NPXCGgEjgICtf7bfat12UZwo6vE2qQOZjCOSHHbrP0S2Z7IkxsZwI2qjXxzERbxs3a2DIXkx566IQt9inXQCCwrAtEYYu9437EP1/zOok7jt9/6aoyM5fD9n981rz65klm3egX2HahapsyrPbXSti20NNajVHFkxcNP7MCmjWtgGAymaeA973g96HjymRcoWpagCfdlgVF3ohHQCGgENAIagWONgB5PI3B0EBgJtuNAcAu6/F+hFAzOGKSCMUmoe6wIo2IjyppQF12NFDsNJo+DcQuO0CnzmW0hDqcyiPiQJ/QY/EwaftXViaia+LiZlXBXJoG4C2t8DM07PVlX2ahcq8R7HkLdjv9GtPSkLDdH5t8gICt3Uszz/RTNCKNcWbNYzECHVcCR+HEnC/1o0ge4j6DszBhroQIiqsmHuo38hP92crWzULvF1FdatkxYudtZdc7T20VSQMMWLou7b1/8rQLNe3Q7k+1IVIYn05TXQSOgEdAIaAQ0ArUIhNbty+W/vbbv0Jd7PP8AiFyPFR9HpLQNduUAUqM/BpHt9KLWfOZq5BqulU0tr1+sTZS1uyzQQiOgETgmCNCLUD/2gevwwGPPzhiPiHhyOUOuZX7x6wfxnR/fgZdfeo7UI7/vruvB9314ng9KB0F1DdvTj28RVcScAAAQAElEQVR+/1b0DY7AFXW/vP0h0AtaLz1/k2y7+Yy1+OXtD6K7ZwCcc9xx3xOy/PJq3zJzhGLxq+jFDqT1NAIaAY2ARkAjoBHQCGgETkgEBoJHMca3y7nTy0oP8bvQ698NItmpMBfsE2T7rxEEJbSMGVjfP4LWyHY0RXNI+o2IsAxsJohyoZzj+4Sc5TPSB9v1gSSH26AI9Fm0QNbY3ukODKcg/bTziA1nTRuIbE9U/ZAzawxUbo1kYeRLs3UjyxK8Q8ZF3i/jWhGI7YEC75FFBrPQYAZgbARdXk6WHY4wGhOymZcV5ylTixe56p5AMnpI+m93G9cvvvEiNMvtF0gtwlEmZhGtF3BYKcDLA2S1PovKjKLhZ9kUq3Yi4Gco6QKNgEbg5ENAn5FG4DARWG7/7bXTcBJnT1i5E7meyN6J1PjNSI9+F5HKLlmXbXwXSI/auaHfd2d2YwHS0UEjoBE4egi87Y1XoLFeuYqsHeWfvngTXvOOP8Gb3/0X8sWp/+uD78D1175WqvzoV/fgvNf+Hn74y3vw01vvl+mf3nqfrCPxrR/chldf9yc47zXvx5//n6/gzz/yLlx4jnJz89H3vw2vvvxCvO33/gaXXP0hfPXbv8Bn/vIPoF+aSsjpoBHQCGgENAIaAY2ARmAOBHTx0hEgsp0swA1E0GlehSbjfFC6jAFJshPxPsgfkx23FurRumscgTOC9sjd6Bj/IRJ7fwk734umwSxS2SwKvFfqThf+8AEw3wfPcMzwTc4Bq8BkEzezCogFQP04EPgobV6D2ODjCMl2bsZgOlkwW9SLFtZwTsjZP2ThzsTZVDAEl2dRe1QCcR7cwaAfQ7ebgegVa+0cutyperVtFkrzhjZYpgsUy1gq8VzsU+ffXKc2LGZgNG1wcuVzyL9nWuncWadBEfh27iCMytzn2Ply8WWIboaeYnDyIjHPh+pD6/ZEu1IsDatYS42ARkAjoBHQCMyGQGjh7i6j//bacXJNv4N83dUopl6GSvxsGTyrDRRyTe9CrRubINImm5r+zI15WaGFRkAjsKwI/OYHn8UrLjt3os9oxMZ9P/0CqDwspPT2u7+JMNz87c/gfe+8GuQChnTe8VuvnKgLda69+gqqwurONtz5/Rtx708+j1u/+494+s6v4d3XvU7WkaivS+Fv//S9eOiX/4ZffOsf8MN//zu86bWXUdWyBWPZetIdSQTYyABYr/K3KQumCp3TCGgENAIaAY2ARkAjcFwhEMBBLdm+wrwSUdSjjm3EavNq1LMtoIOId4qb3FVY/cILKJc5yk4d9o9cgJLZAi8SBQtcpAoFnLZLrIW8MopVy3FqRyEQY5nDedieByQBSapTRTWkdlmoe9KGKUh3cs1Sad4Mf70L55wM0Do0QbbnT7sKTsM61SqmiHa7f36H4wmEftyHVLuqLLIeQcIHgnBPoMQ6UWdE0GKV8UTl8K3c/EQrIrGiwMOR/syrQy0qynUJwp1zNNQrU3c3s3LOduTyZ4RvQwn9oKcP5lSsqQhxpaJEz0MUzRqSHRz1G6uk+5NiTrNqqcLeewy5sUD69RvFJokoJut4EemPRkAjoBE4lRHQ5z4HAkfLf3vtcIGZhiOI9nLqchQE8U4h2/xeUAjMulpVuLbY5BcldmmXkPqjEdAInAwIMMbQ1JDBqo5WWKaJ2Q4qb29pnK3qiMs04X7EEE7twP71fyPyoy/BOLh3aoXOaQQ0AhoBjYBGQCOgETguEJicRCAIcLJcz/P9MAUD3mm+FlHUIzwMRNBobMEq842CgD8dq7LtOG37VrDyGAbLLXis7y14YfhK7G66HuNrLoGb7IDtR2HxOJI5snLvCbuScSHoQbrPA+MMQZ0NIn9lhRDMAyL9BvqKIh5SS9RKsyD7DQ7b2D5BthdWXwnyRS7rRDskRQMRW4eGhZz7k2TqZprOtVYrFyhie8iPo8GsF6EFScPFeNWve63uYtNeogWW5YL5LtwcW2wzFHqZJK5j5iBi0Zx8AoCb0TnbD/BHJ+pG+I6J9EKJYqey4IkO7ZjXyr256lpmbBfD2BzvkKI5F/sAMwKQfiTN5PDOEs5bNtBCI6AR0AhoBE4ZBELr9qPhv/1wQPRs9dJWyx84nOZH1IbxsmzvT9sEkIVaaAQ0AicsAupu5oSd/vE3cTaobizNO34AZEePvwkezzPSc9MIaAQ0AhoBjYBG4JgiMBbsEpT7mCTbO8wrYQvSHbMctihfeaiE9l1PCBK5jF2Fzbh95I2oOA2go38ICOCCmzb89FoYLIr02DhygsgPxAikQ8FxBhEbcwELqHSeRkUTwd1n4r+eA360m2PrC4YsJ+tuP5KRY1JBsfMlKLefT0mEdYg7YF4Z1kgWzBF9y9qZIoEVsrDI+2VMgizEaX55bmFQEO5U1sLOQISZaDFHcLh+3GkjIdYQgF6c6o471O2iQkEQ16TYnFbsttOwgbKzBnq5rY+C/O5MJEHp5bZypxeoNp/F5fgDTxlyM0BmasTgU0zmGrZwkL6VVvrB4k9bttdCI6AR0AhoBE4dBGznACBO142uFvLF/5DFu2/UgQVlmN6xJd1ZUHnxAdAz0AhoBJYdAXU3s+zdnqId1hDsRm4U9n2/PEWB0KetEdAIaAQ0AhoBjcCJgAAR4jTPVnYJbEHaYo6DXrAZ+k4n0vvp8kvh8ghiVePr3gEm8gXZmjeeA0P8ZPLqBpKs2mUFiZF+cSPrg4byEsqajIoPdDP87G4DOUeRtU/tAvr6FJFbXH05qYDGLVUts2WBEB65W7E4WDwrcoA1jx/3uNEKJuZVkX7c86CD3MlQPOo1UyRDTOglxY5Ap11Al3v4N91mY0L2N/qMoMJ71bnIgnlE8ZDQ4xxN9fvE5kUMlZbNs2q7KCDLBUiilr67Rqb0lmLlXmq/QLQWmGUPgvnqu5IF00SjINKtFOAJyA7cbqD/EQNk7U5+23NdDKF1e1OVmCfSnbooz+/hh1R00AhoBDQCGoETAIFoeQdi+fsRKz6OSGkbIuVd4n/5AELL7MM5hdDC/Wj5bz+cOQVVK3fTmdyYP5x+dBuNgEZAI0AIGCR0WB4EjKFDsqMg3QAKxt7tMB+5Q5ZpoRE4QgR0c42ARkAjoBHQCCwrAmTdLahgQUFHEDda5uy7lmwn3+n7zJeib8BE1HTRmDZhMAYy4i5VPNDBo00gq/R4xUAil0cR6uWpRBJbghC3fCLcubRQJ/2tzzDce7sJ1wE2rwfObhelHHjwQQN5weE7jWdg5KKPYDrZLrQQksaIligLq29YxrUiuusgrP4xGIgggU5ZVeAHZZwP1JOJ+SAt861mHDaSaDOVXrffjcM9MitdZOoG4Y2W0HULw8h2Nm9Xvjh/Iq8jwQgSiTF4iWZBukdnbTPoPwayzE+iU353aeM0aenuo4DFWrn7iRbpssZ0soiM7J51nLBw7RsDmaT5DT8L9N5nYPd/Gzhwhzqnlgu4dCkjlYQggl5EIFKeYh00AhoBjYBGYHYEYqWtiJbFH9bZq1/0UsMfR3LsF0jkH0AieydS4zcjNfZj1A19A/WDX5FE/HyTNLxxGOOPTiHpqU9T9MuN2JQXl87Xz7GoC63tbffAsRhuoTF0vUZAI3CCI2Cc4PM/vqZfKcn58JXr4F/6apm2HhWEe43luyzUQiOgEdAIaAQ0AhoBjcCLjEAJA3IGaWOtjGcT08n2SssWHOxhoJejbqjrhWEaMCKCHReNixXBGIvYhA23cQMMFkXd2BgKvAdEthd5LxKHfBgB4GeiKNktePwJA89sYzArDBe3MVz4Eh+XbQROSzMUxoHbbjdABzciFM0IRBoTuc/TDsitjH1odELHyJeQufkRpO7fhsQTz8nyBGuVMW0CTNlwYC2yPBStlpiEyDAoYl4k5/2U+SB6gjvg8vyEHl+5FpvOugcrW7cCgY++hxkO3M5AxPqEUk1ibBeTuVT0ECzLmXWDgRSKAk96ga0hNhBazIupSIbQyj3Hu2R+MaLSrCzjo0M75lUnq/UN/yNAx8sDNJ0FpNdwhKR6rBUgK/jaDkif8l6OUaSDRkAjoBHQCMyCAFmIJ8ZvE4T2r2BVDn+Dd5aul60oLoh26syJbkQleTEq8bPhirRntYm1QFkS8Zmhb86YP7llSQpyPj3wZbChX0+Q9A39/4K64W9Slzhe/LfLyQjhm21CAqar1kcyo4VGQCOgEThMBNRdzGE21s2mIhBauPN0A4JNF8G75DVSwf7xV4EqGS8LtNAIaASWFwHdm0ZAI6AR0AgsGQEiialRgndSNBFGBGf9i18ZKD/7MEI3MmTZTmQ7uUjfvUv5SV9dJxRFq0iSw7BceL4ncoAhiGCnfr2IDUG4F2VZORiAw0eRHqiAiR9vRSPuutvADsGDxzyGN6xmOH8jh1sfwK0LcHknQ70hSPcCJCkvO5lDELnPMwEMpwBrNCu1DEm2Pwq7X/k1sftHQf7dU0z5jS8I8r80z4ZDPVuJBIsjaebRtQhfruRPvcJHUEt2B9GMtCBffdpWbDh/J+ilorluhj0/Ediqacm5hqJ4CDD8Cpoye8HNGLzk1E0A0gvgYDAQBL7INBhbBMYRkVKftHGatHInMr7MB1XhAtIRGyOkYucOzvvyVNIhEr3+dKDt0gCrXsNxuiDgN78vwLo3B1Q9JUSqftydHJ9SrjMaAY2ARkAjMImAXVauwaiEyGmKlxLIUjxeeEg0OTp/axkvI1JRcyxmXo1C+lUo1F2NXMO1yDa/F9mGd8E36mB5/ciMfg90DnblANLD3wNZwEdL28TcAJ48Q5L0vlkHsmpngXpJqBPbKOuPF+FG1cvV6Xzo3I/1vDiLHeshT9zx9Mw1AicAAppwX84vqVKSvfGMeoGYf+lrlGuZ3Cgs8ueuLd0lPlpoBDQCGgGNgEZAI/DiIuCiACJmDUGOR8XNcu1sHnvcQEdR3MDveRjFIkNItpPOnj0MbsVHZ3oQrfFxKoIVYZJwJzLeRBJ0hC80JbcydsWVRHQlexCxrA9mMVTa1mF0jDSBt601sK4OqLT7ssBPcWQiHNdsZIhEIEl5cjsjK2cRZbLStgTZECtJUj3+1C5kbn4UZqEIP5mQgZpZwznEWJOg+01BW49iLNhJxaANh6GgJNNJ05Yx4dJurpXpbDC/lTuR4A7UyZBLF9Qc5aqf9FbrIZz21gCxRoB8oXeJDY1cF6vRBIqHGMhKv6GpV/pu5+ZMdzKjfId8OWoMrahjM4mKekMw4qJX2gAQ0YIfGsNNr5R6dvaAjJck2OzaofW7k59DYfZmJ3ypPgGNgEZAI7AUBGxvcnPUDMYXdM9S2zf5VK8f/DLiuXuRGfpPHA2COFp4HESOk1V7IMjy2vEp7UVXY7z1gyimXiaJdCLY06Pfhe12SyKeynOiPmi/DkTSj7d8EKOtH8WYiMdaPiKt5amf4ym4tnqJq+VMfjdHe36mp4wFOJv5f/9oj6371whoBI4enJngDgAAEABJREFUAsbR6/rU65kNHpInzVtWyJiEe+0HgGgc5s4nEP3PzyD61b+D/aOvwrj3F/CeeYxUdNAIaAQ0AkcTAd23RkAjoBGYgQC5d6HCJOuAAcFqU0aEvj6GzOiT2BIRhLvI39b/OmzPbhEp9ek+wMTNt4/T6npRKLfKwpWnCyI57oBcs8OPyDISXmYlTBZDZmwURO5HRyuwPA88yTHotMJxgAwz0GowcAtwmpSltCfqqX09Y7joAlVGbmfyBSqdGUK3Mog5krBObN0tyXZndRvG3/JSeCsaZCNzNCfPNc6aZZ7IcUOce7zGf32SiYnIWqCenQY6hvjzFM0ZCkEPAkHhk4LLlUU/pSk4DesFJBmYThbp0nasE6Q7uWQhtzLk/zz0617oZaCyOOtDNFaAU7+ems8IuWC/LGsyz5PxdJEQ36cpNj0Ib9pUmV4/Wz50KxMZ3TNb9WGVxZtUM9pcUCktNQIaAY2ARmA6Alb5BVlUTL9GxuQnnazWZWYOQfV1A18G6ZIKN2Lif2s/kmM3U3bZAhH48eITsr9K7CwZzyXKqcsx3vReuIKs9o065DNXI9f0LlB5YNXNaEbkfWCmZpQfDwVBpE1Ow3QX755NNtBCI3D8IHBKzaRUdtDbN4Qg4LOe93iugIEhZRgzq8JRLNSE+zKCa+RGZW88EpexFJkGuK+5DsG6zQjSjSDXMkbvXphPPQD3VzfB2K0es5K6WmgENAIaAY2ARkAjoBE4BggQSUzDJFknRRNh6yM5nBV5GHVpYHjF67Df24IHHzZwQBDtRMb3DwBRVsSZTV1wmbqJNqMMrSvyso/ATSL54HYkH94Jp2EDmPhpGKvIulRfUPXfbuNgVpHea0wm60odPoh0p0wQ4/CjEOQ5cEY7wzlnc9DxwINzL1ulW5k6X7qVId3ieRuQe/UFiA0+jvjwPTCLQ7APDVMVElglY4+VEWONIPcrGaOAFqMIznOyjkSz2YFCYGM8GMNYsI+KZg1lDIp2Phxk4WKyfahc6nyJTIZ+0sklS/P5XJb1PczQ/4iBvMDXIHcyjQdA7mToCQGpUCNcFCSxT4R6FPWY7bCRRIIpVzRjwXYs5nAzCg8717MY9UXpmBGl5uTU96tyWp7aCOizf7ERoN9G9ZfnxZ6JHp8QIELb9MdBhHk5eeGEtXcyeydVzxpihSdAVu1kDU/ENrl0IaKb0uT6JTn+q1nbHU5haN1OJDpZsi/UB5HoRLKTxbuTOBuUX6jN8Vjv2tX/iZXDeOrreDwhPSeNwHGKwKuu+xi2XPlePPT45Hr1noeeBpWHU6Y06YTht97zCZBOWP9Hf/kvuOj1H8Br3/mneMW1N+Cfv/z9sApDI+O4+vo/x0vf/BG88u1/DGr7i18/OFF/LBJz37kci9FPpjHInQyFqCDbBclee2pEtrtvfDfc934clQ98EpT2N18oVYz9z8lYC42ARkAjoBF4ERDQQ2oETkEEAjgoYwAGIohVyVmCYffzDs4Lfo6YVYa14Xx0XrJpkuwWxPDOqqH35sY9iFoOivkMNYOV4lh7miPT5gsjiD3fjdjO/bD3lGVZOueC3MokBx0wxuC1N2EkF4PhGWixmSTay53KnYxsIISfCoQEzDLDhvUcySRAZH9+Dit3cisTNAfgzXnkLxc3+isd1G/9mvRBz5OBGKsAI191G8PUk4iEQ54fQG9wF9qsZ3FFohdW8DBcQWzT4Almw4Kycu/1n54op7owUB8FfhAVNgofJZQxFFZNxOQn3Y9kYOcOCuJ/UJa3XsDR8XJ1jsPPis0NEQy3iPqmQyi1z269Tn7wqXGM1VM0Z6g31BMJOb4fg8GjGOe7UMEY5jqCaAZeogXML2O5rNyt0Id7fq5RdblGQCOgETi1EQj9t3tmqwSilHqZdMNiV3YhUpxqlEd+0aVVe+4OqVuJny0tyIkID8w6mSbSPVp6FstButNmQLxq3U7zkoOeIsKz1fdh+QOnyBnr09QIvHgINNan8bl//yE453NO4s8+/E7c8f0b8fP//Aecu2UDPvwXn4UnH6sFzli/Gj/5+qfxxG1fxac+/n58/aabsW3nXtkXWby/5fWX484f3IiHf/lFvP6Vl+DvP/stlMqOrD8WwjgWg5wSY1TUTWVQa90+24kLQp4IeH7ey2QtO6guBpnRQiOgEdAIaAQ0AhoBjcA8CIwFz2Gx/rnn6ibH1WPSEdRL0h3icFzAfe5h1BsDqGvLoFi1yj7vHC5Jd3L/cuAgE5rAurRqH1q408s0rVgRjAeIDk4y4rFt3cBgHSwWRTKXBxHu4AxOewf6+5gk0ztTDLXW7ageoVsZe9xASpDt7W1qIf70M2oOVbWJSLqViaURnFZC1HsIqX2/lm5cfEF0ey0pqWcPDIBenJpgHbCRgoUE4oJ8j6EVo0ESBW7BZgZqLcPdYCWklTsfn1IuOxSiEozDwSgYTBEMcO7PIObJTzq514E44n1PCqk+9ALSdW8N5MtURUPYwSgymQH5ZIDSmCodNi4LLCYAkanZhY0k0kz5n8/x/RgOnkKP/2vs93+K/uABzEa+V5oVSR8Z3Y3lOOiaoH60SxlCQQeNwMIIaI1TD4HQf7sb3yhPnojzkNyO5x8AuY6xKweQHv4eyC+6Kf7fEKlO7loKdVdPsSAPqqQ7WcuHpHukLIj70jbpF578vSfHb0ZE5IlMlwPOI6gP8t3u2qtBpP48qiddFWFJONP5m97AsT0/I3psx9OjaQReZAQ++ntvx7PP78NdDzw150yIlF/R2oj1azpw+SVnIxGPTej+4fveitPXrUQsGsGVLz0PbS0NeOgJZTHf2lyPD1z/ZrS3NCKdSuC3XvcyFEtl7Nyl3DNOdHIUE8ZR7PuU6toYUv7b0dK+qPPmLR1gsTikGxr9MtVFYaaVNAIaAY2ARuCYIqAHO84QKAWDGOHPYIxvx5GQ7qE7mTRbM3GGw7t6cBqehFivorLlzSCSOKwk0n3zmSrX1gqsaFBuUwq5tCy00xx21EEqKMHMGnBiCRQu2SzrjINpsIKJlQdNxIsMzGIYs1eh0mcixhmaRNtKWyB1a4VXx2XWzDMZn3uOyu/Zy5AvyKIZgtzKUCFZkpNbFto0GDvv/SCymyc5mO/CGs7JTYaVxuuw2rgGncar0GFeiZ3lDbi32AlXEOc5vh9F3kNdYVOkAXcXOlDgLqicvgNZURVZ7BZtirJPQ1D4YhD40/y4QxzFzsuEBMitjFHJyjSJWCNwmiDdU00FrFy5HW56JWjzgOqmB4+rE4/wuulVM/ItxiVYZb4RTcb5knw3kYSyxu/BIf9ukNV7bSM3s1JmrexBGS+HoHOjfsojJHXQCGgENAIagVoEQv/tXtXCnerIFYtntYHI9ZBon3gBafo18gWlpEO60wMRxdnGdyEk3VNjP0ZKkOzk650CvdCU8vWDX5Ekfqz4OOYi36P5x2X34QaAzJxCIqhauZtO/zE5axaop9ACI3ZMxtODnJoIPFLox7EOTxTm37RqaarHh99zjbRy9/1g1i/m/ke24bs/uRNf+tbP8OnPfQufuOF3YJnmDN2ug/3oHxyVVu8zKkXBY1ufExJYu0o96SozR1kYR7n/o9D98dklq5LmPBpf9ASN1eul7gRZL3NaaAQ0AhoBjYBGQCOgEZiJwDCftP44XNKdSNcy1OI3aXTKQXgxi4Z9P5dpY8srZiV8L7owwGWXclx6QRmmoyytPaaIXzsFBH4F6aAM5jJ0bTkb5S1rUDxvAwIrDvN5G8kuB0YgFtKJAONbV4CJZEM9x9j5LshnO6YdXtWljD2uCHeycl+/jkutuazcS23ngxsRVJo3Y+ys30GpU5HcRGLzeADmibmP5mQfZOUeZ80yTaIoCPUit+FhFWUxGGyV8WorLch3C4+XMjI/wB+VMQkXBbHxsY2SqGdngosNBA4Ol+cx/SC3LTQvKo/3T36PlCdr8LPO/BXaO1+A07CBimYNZa5uyGNG65R6n1eQ591TyihjC5K9jm0Eke9rBPlOBHydcbok3snqvde/G3QOEAeR/PQ0gOlkYc9Buo/yHSCiPmwjms37MSKqOqio71DltNQIaAQ0AktF4OTTJ6Lb9MfF/6zYDAvyfMNb5QkT6e4bdSimXiZdxpCfd1kxj/CtVhDp7tqr4UY3glzPUHsZMq8GlTPxv5pI/ET2TjT0/4si3/P3w6qo/yMUh2OfatbtIbRudLVM2q724y6B0OKER2BcrNM/2fsYjnX4p/6nF8Tu+rdfhUMDI7j17sk1dm2jvd2H8PjTz2Pnri5pqf6Nm27Bnq7eWhUUimX88d98ARecfbq0gp9SKTK79h3EP3z+O/jQu69BY31alBybjybclwlnFr4wtblj0T0aq9VNlbF3+6LbaEWNgEZAI6AR0AhoBI4DBI7xFIjodDAGE0msYK+UFtWHQ7qH1u0xtMo+IA5/668Br4Jo+yrw1eeLktk/GzdwNKbKspLcyfgOYEZU4PkRMTeOYaMFOwtNUqd0/kY4a8W6yBek+wEDzGdAvAVDpRiCKEfbuf6sZDs15hYQupUxC6KdKFzIyp1I7ZGLPoL8uteJ/hVBLpqJflrBkwEYd2AfGqaiGaEQCKq9nMOlTrs4jyR8SaZvR4sZxxpBum+r1GPINybKqYP+4AEErIIEa0ObcRkMZiOAK36KVD0jVKpuW+wR5baFLN2jg9uR2nsbyCqfGlRa1JMBlK4NARw5toEIbEy6lKHr4kBwCwaCh+FCWcBjjsNGEk3sPLQbL4Mh+qGNlx7/doRW+/QkAMQRGdsj5NRPLtiH0eBZEFF/wP8VukQY5lsn2k7VVrlImsuEk1OxzGihEdAIaAQ0Apjuv70WErJUzzVch1LyMkW0py4HldXqzJcm0p1eXppruBbkeqYs2suQuEj2N9r2URSr5Dv1Y7vdIAv4zOj30DAgCPjxn1AxKqmLZHwqCt9sk6dtuspAQWa00AicwAjYzMRLkm3HPFyQaF4Qtbp0En/wu2/G5//jR3A9b4b+u6+7Cjf+7Yfx+U/dIP24t7Y04Kaf3jmhVyo7+Ngn/xW+H+ALn74BpmlM1FGip28If/Dxf8arLj8fH3rPNVR0zMLUmRyzYU++gVhWPS/Lo7FFn5zRtkLqssFDMl4OofvQCGgENAIaAY2ARuDkQoDI1tFAbc63GOchLkjtVuNieZJLJd1zXPlfTxrKuh29O+ENHgSsKIxzXyv7nE9YRfXST8dskWosApBf9GC0H8zgeM7ahL5+hvDIv/xseHVNYK4BBEwQ4SsFWevDiwdoaJifiA0t362qW5lUEljIyj0ctzYm6+2gLgImSHVzPFtbNSX97p5nkdn+UzS7K2V5lu8CkdhrbGUJM+BtkeWEOZHNBX4ADCbqsAl0WIhSJNrMPga5bQmtyBuf+BIanv4ayNc8uZmhhtIS31R9UL42uCjKrIWEjEmMiGuCCPAAYudDFBT5VGsfUTTrJ8E60ey54ToAABAASURBVGm+FrTpQm0P8btAhHq4IWBlD8xoF1431MZARJL/48ELoLYH/V/P0KcCK0UScKrfn8ppqRHQCGgENALT/bdPR8SNrkMpfcWiiPbpbRfKcxZDOTFJvufrr0UleTF8s078nyzLwI0YKvGzFurqpK13o+ppN8sTaxtePmnPU5/YqYNAwrDwtx0XH/Pw8fa5DXlq0f/tt74aI2M5fP/nd9UWz0iTK5l1q1dg34E+WZfNF/Gh/30jxrMFfOvzn0B9XXXxKWuB3ft68M4P/h1efuk5+D//+/dmkPFVtaMWibufo9b3qdVxdkyeL29RJLrMLCCkhXs0DmNI3CBVSgto62qNgEZAI6AR0AhoBE5FBMaCXSBilMhOIksJA4pb2CTpPsy3Sh2qmytQHw7UeiXN1oBelDqybTvo4OteAh6btAqnstkCuWWh8tJ4lCLEmziSj+yE4XqifQQFlkGhgAk/63YuCr7mCsDmUn/w0jYMcJVuFG1l4RzCrVN6VsGY0Dh3Eb7cJ5RrEk6nWp9ZQ8OgDYKaKpncUB5H2nNkujFnIc3WSjzHBKm9yW6Q5bucCuqZIt2JbPZRFtRzHeJoBx1RNFEEl2dlPJsodb5EFjO/DG7GpM/2wuorkT3zOmQ3XSfrZhNOMCqLo6xezmsweBRE/FMhXRcUl/kARYsKNpLSd314PkSo04YAzYk2Vcj6HtWDLODJGt4QZ9tuvhRrzbeAnrIg9zSGKKNrqgJ1XaHmiCs4UFE2KTU1OqkR0AhoBE5tBGbz3/5iIELkuxPbiEL6VRhv+SDGRMjXXY1cw/8A1b0YczpexiT3OzQXy1GGBpTWQSOgETg6CNCLUD/2gevwwGPPzhiAiHhyOUOuZX7x6wfxnR/fIQn0YqmC6z/yaQwMjeLvP/4+FEplkDU76VInz+85gGv+51/isgu34Pd++40g/+5UPzqu3EuSztEOxtEe4FTpX778VJwsT6ubMpFc1CdoXiH1jJ59MtbiaCKg+9YIaAQ0AhoBjcCJhYCLAsjSmmbdUCV7KU0hbZyGlirpTgRwt38zyM0JEaRUXxsCOCB3MhTH0Cpditx/rwu7NIRoBEicvrlWfc60JfSp0kEdRYjkc4ju7oETc+HXJ9GYTsjyvj4g3mUivcMCQwvc89JwL6ignynr8QaxXIrYUnVO4SerhPsYm9A5XCt3N7MKXPRn+BX54tSJDquJ1nFl1W2K2UZG96De2CJrcnw/2i1fpve7OTSKclOQ1QFcWIjBRr184gDiMFlMSAjCPS/j2USlZQtyG94EIthHLvwQiGQvt58Pt/rS0tnaUJnDximCwSI44N8OmpeBCNqNl6HFvFjWlfjSSYG0sVa2JdKcEk7DOopAGMiEEKN8u5BAhm0EjUkZesqC3NMkWQdlkQ1ekHGtIHdDlPe1D3eCQQeNgEZAIyARmM9/u1R4EQW5rnHiZ8Oz21/EWSzn0IffVxBpk41NVz0ZKDNHWxhqHXG0h9H9awSORwTe9sYr0DiLf/V/+uJNeM07/gRvfvdf4Evf+hn+1wffgeuvfS1y+aL05d51sB/Xvv+vcdU7/1SGd3zgk/L09lb9vP/qzofx+t/+uKwjnc/82/dk/bEQxrEY5KQfg6zTKUTjAIUlnHDQqW5sjJ69S2ilVTUCGgGNgEZAI6AROBUQGPGV5TpZXBPJOf2c04J0J2vjGFoREKnOe6Sbj/3+T0FW0L3+3aA0hUH+mGweYy3Y+gyDMziIqFFBatVKcDMq6xYSExbuhYxUbe/bKch2H34mAcOKYfUqDgQMucdtJLpN0FFc7WPkpW/FyMveje5D6mZyhbqPpeo5Q/jiVKvqwz1UPBwrd3IrI1+c6pdhVl+cGvZH8ZbCMEUwmQGzOCiI9CRC6++osQ31homhoIRBv4QO8xWIolEQ7mmkjE6ERxTNMumwuS3cScFp3LggwU56taESjMnsWLADPgog0p/cwiRYJ2wkZT4Q338FSg+LPOyatmU+CKdhA+iIjCo/89RfGQMwEEG9sZGqpoR6Y3JjwsVUH/LR6hMM2sJ9CmQ6oxHQCJziCMznv/0Uh+a4On0nov7n2RW1IX80J2f4alPdF5vqR3Mc3bdG4HhC4Dc/+Cxecdm5E1OKRmzc99MvgMrDQkpvv/ubCMPN3/4M3vfOq6VrmLaWhonysJ5i6oPav+FVl85a/38/8QGqPiZBE+7LADPLjcpegiVat1MjXiXc2UFNuBMeOrx4COiRNQIaAY2ARuD4QoAs1QvokWRnk3HenJMjIr7DvBJrzbeASGIiY4l8JStoIkspbQjCVFCmIOLeGdqMZ7YxdFq70dgoCPKM8seORRxERpNaxWpBxCsj4w2DGwx+Mg4GG40NgJ030JsVZVFg9GIXpTU+AjuOIFqH4ap7kfr6gLqZN9S+ONUeMyZ0a63cDxxgE+XzJdyM2FSgF6f6DuxDQ1NUyX1Kg1tG2bTAoxmYTlaS7qE1u48Crk51YXN0FIfETbGNFALxQ50k+CThboobZSa+Lc59uKINlvFwMCZGDMBF/4b4Lun7tpFEeCTEJgqliTSneCkhbFvB2MRGgJ07CMIlz/eDjrSxVowcoeSUYIs5xNAKOsrBVJc2ExbuDtXqoBHQCGgENAKEgO0NUgQ3rghdmdHiuEPAi6i1Eb1Ulp5KOO4muAwT0l1oBDQCRxcB4+h2f/L3nnnGBhs8pE40U6/iJchgZdXCXftxXwJqWlUjoBHQCGgENAInPwKzufKY76yJiCWSeI35RpDVe5NxPjqMV2KVyBMZv9K8CvHSJXjgQVN2c2bdbkQjHE79eplfjDArOalWHo8h5QwDFlBaEYNgY2EL8rW9iSNjMeRcjifrPIQvPkX1GK0aYK9eXS1YIPJTXGqY06zcN6jlE3bvZbJ+McJpV+5PrDFlSRa2MUeVNff+TDuCevWiNDt7UFZ3mFciJgjlFkHGb4mOIMfvxDDfCiLhDUQm3MmQchT1AgYBCPPh8yKW6wjgCLLdEWS7J/qnUesl1rX9x6CIgfIS/LiH7Wvb0pMOblq5/TFz+5ALFOGeYsr1TNgmjOOHHkfTqGLUR/iOsHgijjWqZLm60aJyShb6GAYeU+kaqZMaAY2ARuCkRuB48d9+UoO8DCfHWQzaj/syAKm70AicwggYp/C5L8up2+MM8Z6o7ItnqncVMrd4MeFWJiTuF9/0sDTZcD+MA+rm8rA60I00AqccAvqENQIaAY3AsUWArNvLGBAEawSzufJYaDZk9V7HNiLGWmALIhzV44EHDRQKwIq6LNrrxsHpxZ0ZRbBWVeaMmF8B88uyTQUZJLwsDBMoNwohWtksAeYxXNIKcAY8tRMTL08V1RgZAxzBzSaTQMSmkoWDl+RSyZpGuLe1cUQiwOjo1DGk8hzC61AuX6zBgSkvTrVGd8kW+9Jt8JuVxWHoUsUW2BHp3mRcgUEvjjwvgvzlQxxk9S2iiQ9jNrg4cQ4Ol+cnyo80UQnUBoEhrgbqK2rMNPCIGQJ0UXk4ftwjRoNoKTZO+KCMK83Kn38+fz+I7I+hFbSZICtrBG1KJA7chxVde6RLGx8FlKt9hGqG+I4oHczix33wCYahZwyMzXT/Tk100AhoBDQCJx0C5DrE9MfBjRi86CJ3nk86FE6cE3KjahM+4qh1wokzcz3TI0dA96AROHIEjCPv4tTuwQ0CxHOdMO214IfhUobQC6puZYx9My2DqH65g/3zb8L+6X+AVUrL3bXuTyOgEdAIaAQ0AhqBZUCgJMh26oZIXQNV1pIKjiCQ3/b+AYAI79edo1hONz3pEmWhrplXkSqBGYUn+OSUMwLD4qi0p2V5KM5sBDJiykTs797DwmL096l0uyDLJwoXSIQvTjXzqm2tenurIuPpBa215XOlyXJbvTi1PPHiVCY2EazsQZQNC/sS9Qjq1M21nTsIqgv7Wm+txd3FDtxbbITDo7I4xdbIOBREShuCdA/gip/ls3B3mNipEIOoswUivE7kpn5sJCXpHcABuYbBEo4o6qe0dTOr4EWiGE2JdWLgo4EpP+2YdsR7HpIlTGzCpIUqZXJ8H0UTIa72OFAamSiSiUIvQ7FPJjHwlL4dUUgsQmoVjYBG4IRGwHK65fw9U22SyowWxy0Cvq3+z5sV9b0d9YmKjZijPoYeQCOgEThmCOgV7hFC/a+N2wBxMxJPXg5WfQx5qV1O+HEf7F1q06XrZ0fB8qOyHa+UZayFRkAjoBE4EgR0W42ARmD5EQgthWt9hB/pKHuq7lde9hKOZPmg7I7IVZlYhLCKygK6HLTADDwkgyx4xIaftmRrk0jfMpPpN2+SkfQVny+o9IhafoD8vKuShaVb9fVOFu7Mm6q/cqWioPfsXdxy1ku0gMcDQaS7MEdzsrPIyG4Z90ZTKAnSHVYURMxTIVlwUxyGTXYj9rtp8OAKrDLfhCgawqqJ2BKllHGRpWhZgsMVcAH3ZX+hRbrM1IgEa5G58jQrc1m4gIgxZTVPbYNoBoMr18EzOYhIjxuq39ouCBtbbEqEZW151Z7eG+Ci+oWLSqvqEsibtmFSqJLtQkVu3mgrd0JCB42ARuBkR8B21As4tf/2E+ObDi3cLa8fR9OPu+mrNUPAoicGMHqWpzwCGoDFIbC4O5TF9XVKat3WegAH/V0wjBSSI4f3WFjQskJiZ/TsBSpVEyFZsvzC3DtpRW8I8n35R9A9agQ0AhoBjYBGQCNwJAiQlXIZAzAQQdSoO5KuJtoS6U0W5+SGpb2dw871yDqnYfH+242KuiGslKKIe4KwFqtIryENx67IvmwkEB6pFLB+nSLEn36GyeIDB1W8apUql4WLEBNuZfJiwBr99naVIat9x1Xp+WQgiGS/SUxMENeRg+r9O5HRPXBE/tlkE1KGLZs7DRtkHBlVZLzMCLHWVpb8O5wR2DXnipojiiaZc7nCSmaOUFT4GMhNjclM2ZM9x9gxtICO8mH4cU+gg5oibDtcrzZRWnsOyZenysoaER3aLnN+RF2fsewwYlAWm7UvT40IuEnRyXGKJsLodnUt1G9U5WO7jIk6ndAIHCYCuplG4LhHQFu4H/df0YwJurbieOyK2iyZoaALNAIaAY3AHAjo1e0cwCyl+Gn2GIIgDytnId5lYslHNI4JtzJH4MedFfNgnjPv8MYedYM0r5Ku1AhoBDQCGoFlQkB3oxFYOgKFQJHhEdTDQATLcRw4wGQ3q1YKsj17EOQGhMhSIqFlxSKE6SgSuRS0Iu6MgwzC/eY6BJhkuw3FvSOIcZx7jiJTybJ+z15I/+1E+KeSixisRsWrV/2Y0/y4Uz9tiuNF6K6mptmsSbe5WZab2azAoDKx8fB4ph2JKuHuVn3ak6sZqVwVmyINMrXTGZXxbMJkMVnsLqMPdw9F0acvgon5romYocAoHYaFe8RQ50Zt6f0BJTYCZqbQmGNI9CjXMagezK8gOqQMOIprXiFLDXFtpJl69H6EqzqqMKs92xc4AAAQAElEQVSXr1/jw53cyfgOQHUdV3BYgpQn9zLlEWqhg0ZAI3BKIBCUEcs/LE5V/X0XiZP+Y/jjMEXQ/ttPrK86fBrBrmg/7ifWN6dnqxF4sRCYHFcT7pNYHF7K87AvVkLJFTcjhoFEt4npN4SL6Zi3KMsiRlbui2kwXadSgv31f4D9y29Pr5mSN4aVRZcszM19wyjrtdAIaAQ0AhoBjYBG4JgjUMagHDNpLN6/umwwj+iuEu5trYLgzCkrLbdx8dbt1LVRVi/vJAv3lDMCw+TwGlLwuUvVsJlgTmVKCSLEzzlbkSkPPGTIwtDvuswsUvhR1Yc9zma0WF21lu8+OKNq1gJnpVpv2f0DsEd7BeleRm+yCWVz0mDCT7TAj2RAGwyhVT91ttpSFu7dZN1PBbOEKBSh77DsLLVLL3JREBsajsDYBxM/UaZct8zWk40kTBECzO7HPYCLsWAnAIWnSEx8oqifaDvAxZoWQCpynpCQ5HotDrG+J2U5vVw1fEKC3A1leIfswxdzLnN1DUeb1FiVGjI9X70W60+X3aBurYpHnmUqoaVGQCOw/AgcRz2Sa47MyE1I5O9BMnfXcTSzozuVSGmbHMCzV8lYixMDAd9skxM13QEZa6ER0AhoBBaLgLr7Way21puBAAsC7E/YcOMlFFf7sj693ZbxUkQQvjj1MAl3o2cfGA/ADrwAzOEqxji496i7rFnKOWtdjYBGQCOgETi1EdBnPzsCBd4rKxJMkcMycwSC3K2MjqkOVq8G7Kxip536JRLujiKRyYd7RhDuzADcFU2Cxi3Izk2WkDEJbpEEzjuHI1lj0d7WpsqXIv2kIm2ZN5OQbWtXdX39M+tmG4Os17noj3EH8T1bpcreeIOMWy1lnU4Zr2rlbmfV5gSVtZhxrBGke4G76JqDdDdZBAwGOPcncMERHC6vfnGMy14iTM1VZmYRiXn8uPf5D2CEb8Ng8NgsLYEYq4fHi3D4qCTO62KXgUh1Ug6t3Mm6Pd6ncKs0b6GqCZ/3VmEQaabY8xzfJ+vIip0CWbRToMLQX3uqulnSsCWgYoztYnDyMqmFRkAjcBIjkMg/CMvrl2cYLTyGSFER0bLgBBSR8gto6Pt/iBUen3f28eITsr6UuEjGWpwYCJAfd3oqga5ZekrhxJi1nqVG4NRBoFR20Ns3hCBQa+XpZ54vlHCgdwCF4rF/h6W4VZo+nVM+vzQAnDK2Z6LgLStQWuPDjwJmBYj2Lw3aoPM0Oa5x2IS7INNlD4D19APV1NSITeubzUHMT22lcxoBjYBGQCOgEdAIHCsEyJ1HAEcSnjZqmGqoo/cQQ18fU5lFypFhQWQ6ALlfiRoV2LmD4GYMXlL5/F5kN2J9k5Oqhm/DEKRzUB9HkIqDw5XlJkR5mcl0YE4ues89WxGqVNEwt4E2Vc8avJRqP5uFe6Pojwh98k8/UuWmZ+2kWkjW60HaBhPsb6RPbWx4mc5q7WQUvjg1MrpnslCk1thpIYG53MpEUS/odgtiAPiCvMYRHi7InQzAuMIzwsUJY+4jBvWdlvlUS7xxvgtlqLIc349coAjx2p6igqz3WAEeKmhll8iqUvsFMrbEJg1ZuZN1O/PLkmSnzQuq9JPKlY2VO4C0ERLu+6lKBrv64IMryPTQnQy5kUl2cFlPft5DX+5DT6rrR1ZooRHQCJx0CMQKT4BIdiIwK8mL5fnF8w/gRSYy5TwOR0TEZkFq7Cdg8MV5zU24W5VusKAMOm8vKna+D2cw3eZFQyB8KoG+x6MxCUNcG9QvN+b/H086OmgEThYEXnXdx7Dlyvfioccn3V7f89DToPLwHClNOmH4rfd8AqQT1v/RX/4LLnr9B/Dad/4pXnHtDfjnL38/rEKxVMZb3/dXuPSNH8Lrf/vjuOTqD+L//Mt/wfeDCZ2jnTCO9gAne/9rmLKG2l+fkadaWuPJONpvynjRgvy4N3dIdWmJLlOLF2xA3TRSCzaHn/aw36BjHanpoBHQCGgENAIaAY3AcYZAqUqKpozOGTPb+RzDHb9h+PWdDLfdbiyaeD/Yo0jMtjaOyMhu2a+XaAY3ozK9GMH8iuCQBVkgiHpjQFm0BysbZVPaIKCEgQhFM8KG9cCqTo5UiqG9apE+Q2meArKW95KKnJ3NbV+7OC9q3t3NKFowuC3K7QsbZwKDmCSPpzdyM+qRfzvXM6Vqk90g8zudERlPF4zZ4Fz0S9sQXDDM0xWWmHf4qGzBBY1PiahRR9GcYTY/7uSWZjRQNzOhBTr5Wafy2o58lMSsA5gsgrihiHvaoHDTK6V7HbL2D63bS52XTTSlesrQkxM2kjCq10HYv1G9LNwcw4Q7mY0ctUfzBSqfFxtK2sq9Fhmd1gicPAgQWZnI3SFPqJB6FQrpV8Gz2mAG4yDSXVacQML0BpDK3ixnTEQ6nQcR8LJgmogXFRlfSlw4rUZnTwQE3Oomie1OPvW2rPMOKsvane5MI3CiINBYn8bn/v2HYu2s1oGzzfvPPvxO3PH9G/Hz//wHnLtlAz78F5+F5yvvImesX42ffP3TeOK2r+JTH38/vn7Tzdi2Uxkjk8X7qy+/ELd+9x/xzJ1fx5c/8yf47k/uxNM71L3QbGMtd5mx3B2eav21cFue8r7OdhlX2gJp5W6PsyX7cucrFRFu7Jt82RQWeYS+2YN0A4zcKNjQJAEvu6iUYPSKC4+I/eo4TOjJuqUIrasR0AhoBDQCGgGNwFFDoMwHZd8JPpVw370HeOwJJuvoxaP9A5gg3vMFWTyn6DqgqtpbIa3bKec0bKBo0YHchZCyH00jUlCW7n5rBiGpaiJJ1TCrL8ekl6bKgqp45ZUc116jFsfVoiVF3FLqZtWCXuWU3KCWTzhwUOGjSueWXkuTrDSyBtiuRpx/5/P44ANjuOL2fbDu3y7rgmgGXqJFbjIQkSwLhVhjZ4QE9rsKA5kRYn8X8F/fNZAfrochSPcArvgpipoj+xT5IALxYzIThLFRJbPn6tVGUuoFcFDBGOjo9x8QPTioM05Hi3GJ0OiEjwLGqiQ86bgiT1bvDIb4sSfaQhwhuZ7svlfiQQS7W3W5I6olThRbxSGKwKDWxgHUkw/xZlmM0jAQupPJrJ16YxVJAQmxlPbEHkVx2hJWtdZSI6AROJERIAv25Lgip8my3UmcLU8n3/BWEFkdLW1DpLhNlp0Igsj2zMj35FSLqZeBNhAoM9vGAfmst1z1j7iSPAHdydCJneLBjainEmjT6BSHQp++RmBZEfjo770dzz6/D3c98NSc/TYKUn5FayPWr+nA5ZecjURcGT1Tgz9831tx+rqViEUjuPKl56GtpQEPPaHW8qlkHFS/qqMVpmmgo02t/zMpdc/y+NPPgyzmL37DB0Hh45/6MsZzC9xU0aBLCMYSdLXqLAhsHlAWTl2mN1Hr1QcyHe8xZbxYEZy2WarOZaEuK2cT5BqmUkKQbkRI2ptbH5iiafTsk/mgaQV4pkGmtdAIaAQ0AhoBjYBG4PhBIBAkaRkDgvCMIFpjyUxk+4MPqyUbvYT02rcEoDgk3n/8UwOPP6Hqp58NkfEFsXYkXbIuj4yKzXeh5DSsF3JxH7JuT+69TSo7VguShREYDAia0oLIVaSqWSVZpdJREG6dWluZeSZ7rxXScj8CjI4CdL61dbOlK2tOA5ggfH0R5aOI949h3ZCD04YdWNv2wT6k1nZe1co9MrYH4UE+3JPMxlBQwqBfCouRf3oQb+m+A9n9eViIynIPgj2WqcMTdD0QMc65I0hsCzFWj8UcCdYi1WjzZkSQ6g7GJAnfwNQ6s9E8T+ZzfD/I1QzEMeJvFd+lOH9kYIjv0gkEmFCHK8h1P5KRZDuVlKtuZihNIRCbE2G9WRwUrdWNDOfq2rBSnNSQ72LwHUhiPaYejpDloWg6S+kNPDX7tRzq6VgjoBE48RBIjf5EWrK79mqQZXt4BoFZh1LycpklspqIeZmpEURY12Rf9GRItpOLGCLby6nL4YgNBF/8357Nyj1aehakS+fOq0/Hv+gnoSewJAR8qxXh9zvbNbqkzrSyRuBFQmB4L8exDqP71fp9rlNuaarHh99zjbRy9+dw9XL/I9ukZfqXvvUzfPpz38InbvgdWKY5o8uug/3oHxwFWb3XVh48NIgbv/J9/NFffR4fevc12HCaMmqKxSL4n+98A/7rC5/AV//pf+G53d342nd/Vdv0iNN6RXuEEJ52qF/20MXEHYRMYeLlqZFhA8yrFi4iClauQ2ihbuxUj50tohmM0Dd7SzuCMy+UTRi9IFWmlAh1gvVbgLQi3BkR9apay+VBQPeiEdAIaAQ0AhqBw0agECj3JRHUC9IzAjrIX3st2U4vIY3YAMVEvG8+k7SAHc8BRMyr3KQ8cIDJDFmBk6U288vwI3UgklRWLEKkX/i5dCniRzLINVyOuJtFELPhCcLd54LNF30YVcvrcN0TWqSLqmX5+FXS1iqwWftrb1VkbV/frNVTCr1kC9yLK3DPYRh/4+V44JXr8eWXNeDxzYoFju3YL/Wd6ktlrayyTJSFQmyKNAgJfHZsqyTd6aW0dbu7YAuCOdnTJ+j2Jlnv8DEZH65wUZRNOdTNio3FEe4xKMKdLNbH+HbQ0coumbimbCTRyBT5Tq5mSK+AHhiIoJkpn+1lDKL2KHW+RGbpGphts4Zcz5CCVRigaEog63UqKKt9DCRWcMrOCOk1HOTbnazcc4Kcn6GgCzQCGoETEoFY/n75klQiLPONb51xDuXkhajEz5aEPJHuduUAYsXHkR79MeoGvoyG/n9Bevh7L6qfdyLZyQKfrPTJsp0I9JBsD0+olHqZTBLBLhNVYZd2yZQb3yhjLU5MBAK7VU7cqnTLuCp0pBE4IRBwixw7fuYf8/D8bbOv+WpBu/7tV+HQwAhuvfvR2uKJ9N7uQyBr9J27upBOJfCNm27Bnq6pj0MWimX88d98ARecfbq0gp9oLBK5fBHdPQOguG9wBK6rSNqzzjhN6hJR/+xz+1CXSc3oVzQ/oo9xRK11Y5zWp25IdgS5CTToMWq3jkuynUj3iYpFJPxLXy21zJ1Pyngxwhg6JNWCzvWYQtrXkO5szw6ls/I0GWuhEdAIaAQ0AhoBjcDxhUARavGYNJTlxcgocPd9TE6SLNqJZJeZqiDi/aILA7z0JYqQfXqbMcPCu7tKuLcJQtrKHZAt3cbFW7cnu++Rbmi4GUN203Uwx6t+Rhtj4GICPlcGBzZLyL6Zp+bLZxqeyPrDFX6My6bGLC5lqGLlSlV/cBFuZch3fe7MNyN74RvgrmjGgZYY9jbbGNqgiOpIdz+MfAlk2U3nbRUHQS8MpXEoXJ8+A81GHF1eDn85/DB+tGMPOpxDqGekV4FZtWB0+ZFZuE9YmTO1XI+x2Qn32M5upO94EuERMxQpQJbtVFZnnI541Sc75SmkjdNA/tzJin6QP0ZFyLCNCK+9IlfrW1khRKVlCwqrX4H8hqtFErmcrAAAEABJREFUbubHrT4NYOcOivMXO0JCJTx/O62+G1EkP6Elu8xME2FdsY9Nq9FZjYBG4ERFIF58Qk69UHc15rLwJrKaCHlyLZMe/S4S2TthV3ZJEp4a2674OydI92NFdhr+uHRxkxZjNvZ9BnVD35D+2ml+s5HtNMfQyp3mSpsGVEbzpTw3YmJT4Swq0uEERaASVRsmUXFdHq1T8K3M0epa93uKI2BYDE3rjn1oWL3weq4uncQf/O6b8fn/+BFcT5HhtV/Xu6+7Cjf+7Yfx+U/dIP24t7Y04Kaf3jmhUio7+Ngn/1W+DPULn75Buo+ZqBSJTRvX4HN//4f45X/9X9x292O45a5HRClwy28ewZVv+2N8+0e340DvgGznV33DS4VlEGoFvwwdnapdJMUXsqasbiR2OqMTMFTafJmOLdWtzKaLEKQbQBbpM/ywyx5nitCanTevkJWcrNhFynhOLW6QHYWRGwGicfDmDvBYTNSKT/bILK9ED/qjEVg8AlpTI6AR0AhoBOZFoFQlOROsA2Q1/es7DDiCzyYr9pBst7PdsKdZXNNLSdev4ygUgKefYRNjUB/k650K2pvLCF946VQtt6l8vhDrewqxPkXk5ja+WVrFW2OKRHarftAD5skuDKYs8qtZBLZaG8nKZRB+9aWpZOEejlHbbXu7ynUvgnAnTbLSdjPKJ2uBK9cnzQ2N8M9YSdVIPKUsEp2GdTKf2fkDGZNoMeP4/5pfgjck1oDaRrYdEOR1P2JGAebwIKJoJjU4LCvjwxUOG5dNyfsNJWxWT9GUYD+9H96vd2J86+CEKxwbSZgiQBwUNzBlzS6yUz71xpYpevXGRjH3emnp7qMAV4TaBuRKxkuptWZtOaVDC3dyKWNAEe6oHnaqmhAR+Wk3IyIxxyeuHjJAQe09zaGlizUCGoETBQGyDCeCmghnL6r+5s4298CsQ7H+dbKKXK9Ukhcjn7ka483/E2MtHwSVkbuWzOj3kMz9RuodDWFXDoCs2OsHvywJdiLLaRzPaoMrCNdi5tXINfw2yI0MlU8PlYQi1SNl5Y/ecpU1tBM/e87Nhul96PzxiUB4/RruwLJP0AjU//tl7/jF7lCPf9wgQGuvzdeYONbhjDcsjnL+7be+GiNjOXz/53fNixm5klm3egX2HeiTetl8ER/63zdiPFvAtz7/CdTX1Sw6pcakIGK/pakO5HaGSr/0nz/DR/7nW6VLmU/ccD2ueMk5WO5jcWe/3KOeZP21eOqmkiydwlOrtAXwowDdGNpjRli8qHguP+xzNTZyiugPWlZIFX/TBTIOiXhzr7Ju99dtluU8EpexFhoBjYBGQCOgEdAIHB8IlIJBkLWxiaSgK5Po72OSbG9rBciKnWZJVtaZ536EzHM/RHRwOxVNhHPPUWuRPXsZ+kRbqqA+KKY+MiNPgtzJTH/hJdXPFog4TXbfLasKq6+U1t6UMQ+qF2O6DWnKwnPEhn7AwbgiWdlRsnCnwbyQdM/PXFelkgCdJ+n19zOKDiv4Z6yS7axDam1VWHMlyI2K6WQR73lI1pFIMBtk6f6O6Bl4xfAhQVx7CDiHWS7Bc20wWEItwHTSWhQu+uPxgrgmAgh0JQluI4nwyIvNlbGHepG7+XmIew3Q5oq/a5IESDJaExpYYb5Utg3b1ca26K/FuEjMPYIW48IJvQgUsV8OJvvDAoebWSk16GkA27fEnAEXRVlGN3kUKJOe9rJUKqsNiaq7GXI/Q/7ea+uWK6370QhoBI4dArbTLQdzBFktE/MIN3IaRtr/HLmmd4H8vEuLcasVgVkny8iFCzWPFh4DWZ6TFTrllyNEituQGfomyLqerNipT9deLUn/0baPItv8XkG0X4ty4iJBvKv/E6QzPRCxTmXUB80vXnyCsqhENshYixMXAboO/aqfftpIOnHPRM9cI3D8IUAvQv3YB67DA489O2NyRMSTyxlyLfOLXz+I7/z4Drz80nNQLFVw/Uc+jYGhUfz9x9+HQqmMnr4hkC518tSzu6Tv94GhMThiofyTW+4DuY8htzNUn0knMTg8Jl3NkLua2+56jIqXNcy8Y1nW7k+NzjZX35nV5U21ZPKqL0+NDiwNZu+S10jgzJ3iH3RW3fDJglmEtIKvlEAvTEU0LjXIij1IN4CIeOPgXkgdURN0KistVF+aauTETbIo1x+NgEbgRUdAT0AjoBE4xREosh6JQMpQ7mT6BxRp3FS1+KXK1N7bKJIhte/XqCXdiXAmtzNU+cDDqm3Yx2lt40j0PExVKHVeJuPpgvkV2NmDiPU9hWT3PSC/7aRDVs3l9vMpKYPVq9YljpgYE+sP49HbYAz2ik2ChKw/moJc9lH/RtWrDaVrw+pVXGbvupfhttsNPP6EgZ3PMZAf+yCQVQuKoLMJXmMGZqGI6K6D4GZUutKhhoRhLeZU9q7ubmyoZOGbDJxxpLwcvKJYgwn6msODzxXpTLpLDWU+Jkh8FwazEUE9woN89T96cwHmvc/JIn9tq4y9fZPrumbjAqwz3ybaNci6uUSCtWGN+RYkWPuESuhWpozBibLFJGgzh/Ry7jOgF7ZSOgwpwU8ZNlC/kYdFc8ZkBU+VlWF1HVNaB42ARuDERGDCf3lE/BE4wlMgq/Jsw7tApCdZni8X6U4+5lPZmyf8zJM/ebKqJ+KfSP+53ODMdjpEylJ7qqMXxZJ1P1nHe/NY95OuDicGAuH3GG4knRiz1rM8ThHQ05qGwNveeAUa65VBT23VP33xJrzmHX+CN7/7L/Clb/0M/+uD78D1174W5JOdfLkTiX7t+/8aV73zT2V4xwc+KZuTNfx/fPeXeOXb/xjnX/X7+KvPfA1//pF34cJzTpf1H3rPNbjj3sfxkjd9GO++4f+DbVtgbGncrexoHrG8vc0z0MlctSatblK63Ek/7nS+xdXKrUy034Axh89R0psRBCEeVK3RjZ49M6prC4yD+2SWr5zqmz3YdKEsJ7cyoYV72Kes0EIjoBHQCGgENAIageMGgVLVmjjBFeE+TNypYIlbW9RagshwO0cEcAxEgtPEp5Pu5HYmmYR0LbP1GYbde0kLONO5TSaoXWiJLAuEsMf3o/GJL4nwRWSe+wGS3XcL0v1J+ZJUIlDJb7dQkx8jXwIveAgEAczr4jC2PgDfFARqpQiTW0pHTRfcEuWyZPnEhIV7Yfbl6ypBuCfiALnh6R9QL5J97AkGIuDve2Bu8nbQK8tJJg3BCItUefMaIYHYji4ZB9EMyMqfMnGxcUFPGlCayPfIjmcoiWfWN8g46edRzNvgXBDw4HB5XpYvVQRwQG5dqBexikTUUIT7L242sPV+B+fufxIpy0XdFavRfM5+NEW74Pdlpe/5ybHmPudJnZmpBOuAIaj6HN8PeqHqTI3ZS/xkK/qaArgYB1gg4klDlM4rA5zxuwHMCBY84s1KJdfNVELLY4iAHkojsHwIMF6G5Ys/xqJLN6b8X4vkEX2I8My2vBdEYpOLmSMh3ckCndon8g/IOZEF/XjrB0G+5ok4l4WHIcgfPTWzvH6K4MS0dbsE4iQQrq02juxK90lwNvoUNAIvLgK/+cFn8YrLzp2YRDRi476ffgFUHhZSevvd30QYbv72Z/C+d14t/a23tTRMlIf1FFMf1P7sTetw5/dvxP0/+wJu/e4/YusdX8O7r1Ouy6j+ZRefhbt+9DlZ9+Av/g3f/te/xJf+78eoatmCsWw9ncQdeb4Peiyh4riznuXqptWyvMvLyTgUZIlFL0+lvD2+tJsGf9NF1AzmI5MvA5AF00Rovc6bO6bU+FXCXVrJV0pTLOClYtUaHgtY0EtdLTQCGgGNwIuJgB5bI3CSIxAIctXBmCQ5w5dbjo4GiOQO4MzBb4MI3mTVur3Y+RJB/r4CFEMcRLqT+xeRlJ9XCmKTEs9sY5J4bo8cRENwANyMTbSh+jDEex+Trmaongh2p349SisuhZffhFLTlaGajO1Dw0AAZCONsNIc1tMPwE2opaQ9qohl5klVQbir+HAkKzuzNvPquCw387OvqcjK/+3XBrj2LQFeeQXHxRdykP97atS1CPI2JNwrG1fCTyZgjWRhikDtycq/0rxZbkSQP3f5nXTfC/SYgpRuhHfeBXDiPmzxXdpjURjMFlC5gnQuUvMlh0LQI9twQdpTIsLrQMvQ/LCHVw8+jJWJAuo21cNe0Y1EYT/MtAeLi/VeF+3UUIvDDzaSyDBFjo3wHXBRwGKOct1KDNN3FKiLwIfayAjbstm/trB6Ik6v5jJdGpKRFhqBI0KgOACURxZ58R3RSLrxdARMZwAsKMO1V2MpVuLT+5mep75yTe8EWbqHpDuR+9P1KE+kOoXp9eQShMh2spSnfshynizoqc2RBiLrQyt36quSVPf1lNbhxEbAj7TJEzgaftxlx1poBDQCCoFlkowxNNSlsaqjFbZlzuiVrODnqpuhfBgF6i7pMBqeKk3+/Tu/xLmvfr98hOGCq34ff/K3/yYd8teefyLTgjWWevRhp6MetQ7ry52+TMa7LBkvVpA1+oRbmL3KB/tsbVnVwj1YOdXCndzGBM0dE034euW/PSwIIvEwqWONgEZAI6AR0AhoBF5EBEJyNc5a5Czygt/0CiWko0XE/SHUP/0NSfT6kQyI+CUlcg0Tku51O3+IkHRvrAfoBaqkQ+GlGfXyoVL7eeBmlIomArWxc8pqfvS890nXKfm1b4D9JIfVxZH51eOIP7ULjJhe0coSpHrgA3lBuMfG9gK0oW8rIsvctxfLQban73wSjd+7E/bBQTHi1E9QfRErvR9nas3UHBHvZO2+6UwO8n/f0KDqR8ZUvBjprVCN4ju64Cv+WGxYXAb6Dkwni/pnvwMMuyi5aZSiTWha3YlcTPVs5HIwodZZHtRGhKpZvJx056KW6hGjASPDDJcPPomMINajLXHwdUOIDqk1YtDgI85K8J6fidviR53UbDS2iHNISiv7sWDq+wImtaamhpM5eCaHGSjC3EdlqsIic9Em1b6o3oe1yFZaTSMwEwHfAbp+aaD7VvV7NFNjaSVae2kIRJ3dsoEbVVbBMrNMQpHuyr2MIt1vQi2pTiR7cvxm1A9+WYaG/n9Bw8C/oE7kiWivGxL/V4NxaSmfa3oXyHJ+maYmuwmt3N3oxmXdbJCda/GiIeBbreBGTPyfG59yvR3phAyu/l/SZs2R9qXbawQ0AscPAnr1scB3QW+5/dqNH8fjt34VP/n6p/HY1udAzvZrmwWZBrSYcVk03crdaQpAL081xd/QaP/S4PYvfbXs09x6v4xnCHGja5Af9qi46aoh10M9/7yXhkkEp22eSMtEpl5GhrZwlzhooRHQCGgETlAE9LRPAgQcNi7PIsaUL+4+QTQagYPOlCBPOUck2wWzPIrCutdJvVCEpDvzy4IA/jZSe2+TftjPPYeDXMtstJ9Ee3IQRBKTO5mwXRhHRhUZUmnZjJCMT9/xpLTs5hHlXiWxdQwe4bcAABAASURBVDfqfvog7EMjMA6MyKY++Th/5A6Z9pJCzw9g9fUKwl2R78FMAxKpu5BIPvoc7D374A8/j+SDikiubeMnObgFMY4KWOSRFu1IdWSY5Mww6JdkYZKJc5EpoHi+svDOP9qLW35YAW2CBNGM3JQgFcLcH4whyxvgnbsGtA7sjSVAVHFu1EcMirB3+BgO5yjwXtGXIK9ZBAYiiKIe+REPLZVhRKMc/paiuC5eEN9bDOTuxm4JYGN5LNxRPTpM9YRDju9Hye9H/Q/uQebmR+QmDF0P4UYMqQdwMMb2A8xEqsQAcd1C0PU4jIPczsQaVcPiIdGXSmqpEVgyAnT90KXolTjKI0turhscIQJW+QXZg2erp8FlZhkFkZNElvtGHch9S3LsZtiVA0iP/hhEtEdL2+RovlknY7K2N/1xkFU7FZALGXoZalCtp7LlCtTnWOsfIdfwluXqUvdznCDgmWqtZjlijbZMc6Jrc5m60t1oBDQCxxECS2OAFz3xk0fxujddiZdcsBnxWASnr1uJK196Pu59+OmJE+R2FGRNvimi7gy6vOxEXZgorfFkMrnXgrEEX+5B53rZzujZi9lcvxiDh2R90LRCxtNF2J7Kg5bZdahOB42ARkAjoBHQCGgEXjwEQv/tEa42w/sHmCCVS2hOjMGPNwnyMgDzHVi5AzMmGZLuVBEd2iH9sHd0/wCv3rQbL216CNEIl0R9SKiTXhjifVtl0qlX643Ufc/A7h+R7lSyV25G9vWXyjS9QDRz6yMwBtUap2LaMHrF2qRSFmRwEnbRg717F+Ao4lp2ukQR296FyIN3w+v6DfyRncD+h+VLS6d3M+HHPb/4JWybegIcY2Pzt0kY5sRwQSqO8qp2lCtimTc+AnoJq+MCRLoX1r5abGK0YORQpyDFTcQ2qDVgY1qROpFiFiZT5u6H48O9FAwiEAS2uApAwUJCzssZVPhGzDFECs9Jsn1809vlUw8sFQFLVkAvskV1Y0Q2OgJhI4l6tgV0jAzeifHBIip7R2E+ugd0PTRUCXh6uexwsFXOOVGJoVG6URRnEKjrhdovNSQ7VIv8IRVrqRE4HASKfWyiWVCZTE8U6sQyIjC1K7IwJ3KbrIGX23q8diQitkPSPVLZhfTodwXpLv4fCSVy6zLW8kGMizDS/ucYbfsoKJ+vvxYUlsuFDOY4AiMhaub/vyMU9OcEQyCoupUx3a4TbOZ6uhoBjcCxRkD/B1gC4q7n44HHtmHLGZPuW5z3fFz2sMZKy3j6i1OpsNIWgAITvHvmGZuKFhcyDQh9sVuPKkuy2oZsSN2F8NbqXUltJaVFe/cNvwP3de8EonEqkYEs7WNc3UAhNyrLtNAIaAQ0AhoBjcBJh8AJcEKCloQDZQUdNRRhOzrCwQIXzfERmGVBgMca4cWbkeh5GJHRPZh+EOk+cuGHQS5muBmDnTuI9eM/Q2O6DPLL7mZWTm8CO3tQkPiT9WRdHt3dA7JsL5yZhvnjz4PvfhDjb3kpiudVX/gm1jElO4Po6HYYjgeDC5JXkNSmZ8IoOzDJNF+MxC0u5OI/ZC0du+VH8PqfgJuy4dUl4I/uRvSeO2d04qdU32Zh8eRZY4PqZnhExYuV+9OdUnVLdjecnIfHHldjllvPEQTO1XBdC2OZRhir1QD5pnqp7w0VEGHqu3TY0knnIuuR/YQiylS/wUAOKTaGZGoY9D0T2e4nWqSaK+ZqNHBEIL7T5wdk2XTx/AsG/uu7BnoXsBo3Kllkdv5QhB9g7fM7EM8Nw3OHMXJaL3rMAI+5Hdg5Vo/ciIfgwCisp7eBrOBpvDbvDERcJq7fAB4rUtFhhUS7+p7JQvmwOtCNThoEDnp5vH/gN3io0rfkcxp7YbJJaYm//5MtdepwECDym9o5UfW0EKWPVghJd27EpF/3SvJiELE+/eWnXGyEkq4T2wgKR2s+ut+TG4HJF6fONII4uc9cn51GQCOwVASMpTY4lfU//blvIZcv4XffftUEDM09t6J594/w8u7fIFLsxyFxUxbvuhlNffehIfsc6oNR1EV8mILfNpMMUddA08EIUnELBmPIJKx5Q/wVr4NlGIg+/xTSrrgBqtGPjffJuljnyjn7SJ1zPlLnXTSlvq7LRtzajEikBYmoOaVuofno+vm/r+MNn6htIGIZ1e/YFrEOmYTG4GhhUJe0EQZbXHeJqDWRD8t1PImRxuLoYEH/W9Pi9/xEwdeOFmCZBlJ2IxqSScRsG7mhsrRsXhHplXXBxlcBG66Q6fquO1BvFmf8bmUyKUROvwL+S/8AWPcymJGE1DfPfM0MXcKmfuARWW+3rEHTjr1IPdcFMx5FcPUFiDxzp6yLbnsQqZ7tiFy+Gf47r4TT0YmBzEbEysOwxwrw1m0Aj0dg+RbsYkVsCOyX7SJxY9YxadwZoTKO1He+iGD4OYhGsN5wDaxr/geYZYHtfwyNT28XxZPXSrTOkGOkSov/+7JmpSXbDA/PPi/XCGR9zDYRsSd1Hh7sQMlOYk2qiDcN3Y/i8+N44Xk1buS5Q/I7aj2neWJ+ja2C/GbiNIIcokxsWjAbhsERT1QmdGacf83fzbDON4fkfOJWWsb1cTWGkS0haWRhJgGc/iqkWjom+rVXCKK7LUDcKME4KNae0/o1uIVtzxowDQNPPGGKzRJrom04bhg3Hbgd8WKPCL0ybN7rwBQbLPnTs2jcvAsb1twNd20vHmtrwYFCHLtX98MuOWiLbUKqdQtSHhPYcHBeQoPbNxHqI96cY4Zjh3HLKlOeuz8++X2EdSdjHJH/M81F43MyYjDXOe01xuGJ39Gn/MEl4WOXbLGpaMjryBJ/Y/1hjS9jbEkYzvWdLKY8xXsk9tH0imNy/5FKN8Nf8yfga/8IZtvrQPmjtd49nH5P5TapmCX+F7Jjch0cGc6WmOPCIZ5ZAUv8L41hEJkabuZI0tQfhSPp41RvS7wHheMdB+jjlELAOKXO9ghO9ovf/Cl++Mt78PXP/jlam+snejLGDiIM6ypFMLeC/SN7YB58EvYLtyHy5LcQffBfYT/zLVTW7QcXLc0uA0YPRJrDDzBvCNKN4Je9VugC3k1fnqIbdO+V5UHnuinl8/UZFMQEXAZYtphABMHY6KLbztevrsNxiSP5rRS3vNW5BSLWwQ80BkcLA8/nCAMXF18gQpjX8SQ2GoujiwUX/xl98U/pRMG56I8KYhKIs1b5+9M/IFYKvoOWyAAipoPAiKKy8jKUV74UbsN6wCvD2noT/MKY1J9xniwidQsv+Qjyl30UTrxlhp5fEYT+2EE5rj/eBvOxXTJduWwTnH1Pg4+LOUVissy7/9dwR4bF2GkcaD8PWdQhOnIAjJvwm9sQNNcJAj4q5uWD79wh2/jm4r5jf3AI/POfgT/cDb5iBYL3fwzBS16L4LzL4V/+CnCBg/fr78Anct+v9pkQ37CAiDs0ZLUsrJsjNsV8yMpd/ElC/+DMNvnAlfNuseLgYl1GmHYf5MjmgMc7L0BsVQYdiRKuOPQwEjc/jPz+cZR39osFFVDZsnYC3yCdFmVcGkjkRhoE6cwQcBdlT2xOzDE3Gqs2OF4FJX9M4GsLUtwGzdkO6jE6HiBWHIfJAgSNGVRatkyMS+3deCtQTxsHFXiHcnCGi1PqH3mco1KB7I/Oi/LUbnrgI91gYm1L113prHeAQiV3ARLbW+BH4+i9wEDxIgcNZ3Zh08p7kdz0NJzGHIwSR7OxBa643mxaZwoguV+C/fR/T4TIg/8293U7DR8zAcQbAQEHcv18yrlMn/PJkA/ENS0gOOnP83C+q6yrfj/7nanX9EJ9jR1QfyvoOqLfI7ckricB8kLtTuZ6Wpsdq/NDqUv+vXFiZx+7+w/6PdLr/GOH92Kxpl9AEY7W/cfy9QuB3cLBM+rhmxmhWAEvDyyqjViWzqkXiHWduHThW5k5deZrr+vEVxGo9Y38XyrSxzMmYqGoP6cQAsYpdK6HdaqB+K39py/ehG/89634wVf/FmefedqUfkZPfxvC0N50LpxkK7Z1XozsyitQbDwTjpUWfzgD8Fw/rBdugmfdI/PGTgZeAAplb8FQvOCVcJN1ghwfQfmeW5X+eE7kh+HbURSjGVW2iL6ckUCOT0QYZylUXH/RbRcz1yPXWRgPPcbiMXK8AK7Hq98xfdc6FMoag6OHweS1STd0ZYewniwrLOJvlNbReB3pNSDu6VCsnDjX3phzSP5fhpuWf6t7+33ALaIz3g3fiKHYtAl5z5R1o2tei0qsCbw0Lkn38sghWT4nZs7s6wy/61E5ZjnZgeD5PpnOnbMO4+3iJvLxe2W+/Prr4ZxxvlhrjMD98TflOKViIPKjiPij4CvPwuj5nVLXaD4TnH56dsi8g0Dqzzmv6t+C4OtfAB8ZhN/YjPx7PopCy5rJdldeA6+1TdX/4gcT5TnblWNgmE+ULTQO1cdiPuim/OChmb9jVE6h4gZwxV0a6e/aG0j9li1JDL3pMriXn4lkg4nm8jDK37gPlZyL0UwDzDSbmAesOATLjkSQRaFgIAgYaL2VLY9P6FDf84W+8h45boQ3C+I9L9OBm8LeLh9NziAYA0qNK2b0l7MaxJozBbOhDItVkN81MKGzZ7+PnS9wtJl7cf3qbyDD+mX+6e0zsTB23izHzK24FNnoChkOPh+ThHskvgVeYhWGW1ZhYG0DBs6y0Hu+AwMeMk+aKOd8ea1m17wKUccCZyZGG1pA15ljpWS/Xt8LE/OaDweqM+t92WZQnDvla0Mu72LX7T4GuxZ3rdW2PR7TnrjuKvp/5qzXxphTkdfB7srif4/oOx7cpX6H02d6sn1+4OS4VujcDjdAHIfbdintKuN7EXglOCyNvPhbUCj74rvV4VTFoSTWZIJSmecaOF6ujZn/EwvV9cr02DFa5N+VSnFYnNfi203vh/LFUkH25flLW9dQWx0msXck73H8/50Xf4b15xRCQBPuC3zZf/NPX8c3v38rbvzbj6Auk0JP35AMni9uiEVb8osahlXixpVbMWyLxOQLrPLrXoex894H8qtabr9AaEPcKD0Iw30QzPVhPirumrC4w7/01VLRevoBIDsKo2efzAdNS3sZqlGujskMGGYaTPtwlzhqoRHQCGgENAIagRcDgRIflMPGjFYZ9/dzkP/2NYlucNOGF2+W5SS4GUV203WCm18J08mibucPZ/XpTrrzhdAPvBM/C/SSVPLbXt6yFuZWscaolBB0rEOwch28S16DIN0AY6gX5iN3wOl1YYyPIsqyKL75rXBSgRzGP2MzOK1H6I564AVZtpBg5SLM3gNSrfSB/w1e1yjTEyIaR/m9fyyz1mN3w3r2MZnmFuBHZRLmEvy4t7WpNmNjCy99HRfYvVfpr17NZaK8ZQ2C61+KcmcrqktAlFa0IWLLaili9Y2CZOZI+1nkxlIwmI0ALspQ37FUWkAUgh6lIYYN4MBEEgYioHnXBeMwGODVNymdadLNOcgxAAAQAElEQVTLrARrCoR2GdkdoxO1T28TjUTuFY13oMkZxRtafoYEy+HpbQbyBVFR/cR7HgJdV34kI9exVNz3QhmJ4REYMRud6ZdgrfkWrDBehXTsfPjJVUAiDiNgqNsRQaRLWf2XW86Gn2iR1+/4ulfKa7Yg1sTUX6zvSYoWFRLtAgShWTwkxLRPz10Gxl5gyKrl8LRanT2ZEChwd+J0urycTPsO8Px3DAw8LrMzBNVXRlRxei1gRgAqc/KqTMuji4DldssBvNjpMtZCI3CyIeDaas1mu2odc7Kdnz4fjcCJhECp7KBX8LRkLD3bvPOFEg70DqBQLE+p3tt9CI8+9dyUsuXOLHzXsdwjnmD9PbZVfQEf/PN/xlXv/NOJ0HNoaMaZhC9OHfRLU+q4uEEurH4FsmdeB7qJCRKPwCzuBkazoBeYTlGeIxNsugj+pgsBcSNML1A1etSd4JwvTJ2jHyu8OTVMMJaeQ0sXH68I6HlpBDQCGgGNwMmDgIuCIGQdGIIitQWxCnEMHCzBZg5akuMiBziNG2QcClpTEOlOG/nMLyO96+eI9T0VVi8Y29mDsIqDggyNgY0K9lq0qGxcCV7OQ27qU/7s16L7VgMDuxvhXHGdKAEid/8KvPugSHOwM1fB62xDhY+JPGCyCJyzzwGDCfTthB/lWOgwe0VfPIB/2hkI6jKzqgcNTfAuu1rWRX71fWlwQJkgpvo3QyMCKlwgkEsZUhHcMUUTIVyzJQU5HhZ2C67IEYRem7ifbqwPS4EgFYf1tvPx+LpLsT2zHsG5qycrRcqIROAzUxLQkeIYLCREqZg234de/27Q9y0L5hBEsDtQmBrV+aSZYAshln85D4mgCNgcXmOLKJn5oRfkoiFAhFUQdI9KMn3ncwz9A0B75CBW9JVgPRPBymcdXN//I5zT/RRy93QLonwAZn4Y8b6tstOQHKfM+EO9FCG2RRDo1d2FuNGCJnYeiHxf678Uq7YaiDtF+LsGpS4JG2qNWcYwZUHGKX4kIwl9ugZl4QIi1qwUSsNMJaqy0MuQ61ZlZdV9tUZHJzsCQ9V7rOFnGcSfP4zuNDAbiV4eYvDF73CiHZJsjzYqZLwcUwktjyoCdkWRkJXI1P9fR3VQ3blG4Bgi4Ntr5GiG0y/joyl03xqBkxWBV133MWy58r146PHtE6d4z0NPg8rDAkqTThh+6z2fAOmE9X/0l/+Ci17/AbxWcLWvuPYG/POXxf1CtbJYKuOt7/srXPrGD+H1v/1xXHL1B/F//uW/4PuB1LhXjPXV7/xCpo+WMI5WxydLv7d975+w/e5vzghrVlZNpWpOdFOkQebI+qJYY40hC4Wgm43xs69HueMsBKkHwYojSO6uiJrFfcjSDNE4zJ1PyECtyH87xYsNZl4tNLllw7QyYNnRxTbVehoBjYBGQCOgEdAILCMC5UAwoaK/OFMEKlkbe2UHjfYIYrEARKBysWkvVGZ8aCO/2PkSWZ7svhtknSwzC4jI2B6pUWo/D/EdXTLtrGoFbebTpj5t7g+Orke+Bxh6imHX7avQl3sV8qPtCPJlmIYL/+VXyHa+oJApYbN6eBs3g9sGgvF9MCouFc8bzB1qk8DrnEpaT29UedXrwZrXwxwbg33fLbLaT1UJ9+qaRhYuIBoaVRsin2dTjTNronjPXrU8Xr1KtZmoEIlUEjjnDfWwXr4R69aJgumfekU0u+MVxNGGKBrBxU8ZA5J0LwWD01tM5CvBuNyAiaEVRa704iJNCrmeoiDwHbC4INyT6nqh8trgZlaBiesmGi8g6RWR3UtW7Ax24OGq/odhDZsIIhlwI4I6VsQFpcfR/Mw2mL98EvV33gImGEynfr0kx6nf3eJSSYgdCtMEzLM7qSgMEzHLbEZCkPw2KwHP9cLIi1jUmlU8OZ+8Ftzq5lF0aPLGSqjO+Yk1AlYK8PJAuWqtTCRqz31szja64uRDYNCbtEjb6YzKExzdrq4Buh7oSQdZWCPyB1R9YoX6HQ4fFCpVr6MaVZ1cZgQYL8N2u8XfmRj8iNi1XOb+dXcageMBAS+i/g/TtX48zEfPQSNwoiLQKNbNn/v3H4LeMTLXOfzZh9+JO75/I37+n/+Ac7dswIf/4rPwqo+bnrF+NX7y9U/jidu+ik99/P34+k03Y9vOvbKrIOB49eUX4tbv/iOeufPr+PJn/gTf/cmdeHrHbll/LIRxLAY5lcbYZIu7A3HCj5cHhJz5oRtnukkurVkJWEXxcRZt5Y5MA7xzX6Y6ragbmqDzNJVfpLRCC3fSZxGSOmgEThIE9GloBDQCGoETCwGHjcsJx5giJfr6AOaVcFpyD7gVnyA+McdR6rwMhdVXytpEz8MLku7MryA6uEPqB247mOOCR2z4/hhoM5829Z3zX4OxFwCjWEHjaBeMgRyG/Yuw13gbAkswr+kIwrWHj4Lsy0YSQfMK+DFBsJT6YO/vxkKH/YIYRCgFm84Tcu4PWZX756tzjDz1MJAdhVunLFOmrGnm7kLWiNNEQ4NMYmRMxbPJigMQKR8RS6T16xVZN10vkwHOPYeDsek1AK9ThHssOwKT2TBgo8W4EDFBnBNeh/hdGAm2Y7ajyMQuh6igdqRrIAKyJs8LmNP5EdFXgKAhBVpLCrUZnyCagZdogdXgIcLK6Lp/VKwzy3jD0D1o9wcQJCIYvv4aDL3/7XAuiQIbirAbe1EqFmHtywMjSRTWKKyp89zOMbRUhpFqtOCuaKSiGYHmwld0wo0H8J0yjJ5RqWNBgCRSFYwIqT6ltvNlwsoelPFiRLyJS7Vy9cHSoacMEAFPRDxVzGbdTOU6nDwI1Box7XdzoCccfGfy/MZ2sRlW7uP7VX2yXcVWdZPOW8ImnWqp5VIRsMu7ZBPPbAVnMZnWQiNwsiFA17ZntcnTMr0BGR+poD6PtI9Tr70+4xMdgY/+3tvx7PP7cNcDyhBntvMhUn5FayPWr+nA5ZecjUR88n/LH77vrTh93UrEohFc+dLz0NbSgIeeUOvsVDIOql/V0QrTNNDRplwyZlLJiWGGR8bxl//3P3DxGz6I173rz/DAY89O1C1HwliOTnQfkwhcEVc+1e8tHZosnCXlZVaBJ58FEyvGeJc1i8bsRf6lrwH5U6XaIC1ufqJxSi4qhP7buRiOGSZMQ9wUZue561xUr1pJI6AR0AhoBDQCGoHDQaASqP/BEa78lowO+yD/7Z2JHkGq2vDSqxbsttx+PvKnXSX1FiLdqZ75ZWk5bx/IyTalzWukf3bK0Kb+aF8j+EgJjaVebGl6FudseAGZy1PwN4gN/ngCsbPaAbH2cCFYYNHIFGS7iICMYLNbO4CgAnPPUxOWzrJumjDGs2CDgpRnBrzOhc/R2XQ6jPQaMM+Tlvh+1aVMuK6Z1v2c2XSSy7qRYRlJUeSejEPxzLNKp72Vg0j6sHyxMYurdVklW4HF1ILe5w46zCtRz7aAjjG+HeRiJkANaygq8oEi3P2qVXjaWCtKgdERhhZ3GIYBuA3qZkFWzCKk7/TmABGUcVqxB68ceATrjW7wKEf+VZvhp5PwExmMX/g2mOsTcDsKMJt7UakwFLrbMD4ckb329TEE3SMgn/HGWbNbt0tFIby2zeBtHmJk5b5dnQODmCwADxUh1Yc2BOipDdPJio0fdTOkauaWCbWsRlHMh4jW4WeV7oqXqO9J5Y4zqaezrAgUAm+iv24vh/HdKtt8Pge5jPHyQFF5PpIVtAlDZaa4lJMd6jqJi1smqiwNkdThaCJgOwdk9258o4y10AicrAhwMyNPzXbEekamDk8wrv5PchY9vA50K43AYhEYFP9Aj3UY3jfv7Fqa6vHh91wDsnL3q65epje4/5Ft0jL9S9/6GT79uW/hEzf8Dix6/HKaYtfBfvQPjoKs3murDh4axI1f+T7+6K8+jw+9+xpsOG1yXfvC3oNoF2T+//ubD2GdIPT/+h+/Vtv0iNNqNXzE3egOQgQuirWC/IDudEcQ+gUN62rjICL+QCfo4huDKf7GLtaXO/XhXvsBMMbAN5xF2YlgiJsl5k1kZyTscSbLyDLMt0WaRWCIIAu10AhoBE5qBPTJaQQ0AscXAkS2hv66o0adnNzYkAPy394czwrCPQY3s1KWLyQqLVswn6U78ytIdt+DWPWFlW5yDSLdyiLLqeMweveCSHT/vJeh8IIHK1tAZ6YHhUs2o/iul6D1lRFsvN5E61tWoflyNVefF+W0TNgyJsGbxALWNMDLg0g8pawcqXx6sHY9L4u8dafLcWVmHuE1pQUpvAnM8aUlvu+PSO2lWLhTg7Y2ksDY2OTyt1gl81pMRZQ/X532mWco3aVKnhH4MKDRH0BhVGxCiA5yfL+QoszYghXslTCRRBkDOODfjnDjguLQql0qC5HgAk8Rk4V7vThnJvr168T6UZTN9XEaNgB1PmKsjHonixX2OKxoEe7ZQGmtsjCntkR+07sAGldk4LV7yGeYINttHPzBHtx2u4HHnmRYW+hBMsnhrVFPYFC72YKbWQWzKUCUFVDZPSQ3WyJQ86xw9V2F7SrNm2UyMrpHxguJZNUlSP4QQ+hKhojW9BoumxKxKhNanBIIVCocY8oTFprO4qjfGMjzHnhq8nc618VkWXiNUCZafVIifJEqlelwdBCwHEU+OtGNR2cA3atG4DhBwI2uljMxXbWekpnDEIZYox1GM91EI7AgAlMUHLFuf/pHwLEO2385ZRqzZa5/+1U4NDCCW+9+dLZq7O0+hMeffh47d3UhnUrgGzfdgj1dNTvtolWhWMYf/80XcMHZp0sreFE08cnli+juGQDFfYMjcF1vou6yi7bgj953LV5x2bn41MffJwn77p7lezfD5OpkYkidOBIEEszGhTHl0+vHhT1zduWT/00rhiD+NMA5ov3mnLozKjINqHzw7+Fdrl4kRvVEtDc8ZiO9Y/LGl8prg1VQX7cnbp6ClCWrzIInYy00AhoBjYBGQCOgETj6CBiVLDI7fwg+thVEukdQDwMROC4wPljGiuhBQZBa8BLNWMpBlu6hT3eyZI9VX6RK49Vt+/YE2U46PN8GcifjJgwY9/5EDkPW7cXBKJztOVjMh3VpC8pb1sg6EmQt2rhFkKoNlANcnpeJKFPW+ZQxkxvALQNBqR/R3T2SeKXy6SHyXNWtzQL+28N25PYmqG+G2XgGmOvDvuMHoLUM1dtV8pzi1AsW6h8ViIpQ96Qt1kQWqCzeZYLq53pxKvVDofcQxGIcIHcy7e2cipYUmPgOEYuJNhxmUEbUXSvJdR8F5AIysgDiRou0difSncrJ0r2CMRR5L+iIM4G7IOMNcU1EDUHei8KRUaDZG4VhcLjtHaJk7o9LmzQWR6y5gHSCI9OYg7fZgbNindjEiU5pSKR7cdObUbe2E6XXvx6x1hTWlw4is3s/7L5RpP0ikg0W3BWNU9pNz1A/rKMDniD6DXHeQdeIUDHAIK4FVOR1jurhCnKekpGxJ+mLKAAAEABJREFUPaBrk9LzBfLjbkYg3cgQuW6lIInW+drouuMagSVPbigoyTZrrDRWdTUhX/aQaAfouqgXe3Z0TdC1Qa6wSDG3n1EkdCZ/h0mXgu8AFKSCFsuOAONlmP44uCHucU3192vZB9EdagSOEwR8s03O5EgJd9mJFhqBo42AYQItG459aFRPa853enXpJP7gd9+Mz//Hj+B6M/nJd193FW782w/j85+6Qfpxb21pwE0/vXOiy1LZwcc++a8gC/kvfPoGmKYxUUeJTRvX4HN//4f45X/9X9x292O45a5HqHhGaG6sk+5qiNifUXmYBVNncpid6GZTEbgipiySdlTEHdLUqik5nm4RhDvdgI3CHmewqzeNU5TmyHBrKrFuj4uvUqwrqR+jzGZtZZRVcRDj4JZKg9zKVJM60ghoBDQCpyYC+qw1AkeOgFkeQ+LA/WDzWCpRXWbnD2DnDoD13yd0XUHAtsrByYrZLVfQGesBswXx3SAWxbJm8YJ8uhOhTi2S3Xcj/cLP0fD010AuPPxIBqPnvh+kE9nfRyrg/c/CyI0i6FiH4PxXwLmzB+ABmjY6KJ0/v3Wii6Lsw0RSxiSM+nUQLCt8V61/ZrNyJ6Kf9SiDBG+jsnbGIg6/KQ0jswYGi8Ho2QsMiyDaxbtNSbJntlmI9hswK5DBKjBEhg1ZlhA6VL9y1BDnx0A+2kVT+an1D93VLYtw5hlcJZYg4wdMND4cQaTcCIhhWvxhEFHeyNQ5jnC1yUBd2gKzVeZrEUMrfEHGH/LvxligfNq7vAA6iHg3EKEk+voZ6rxxQbgDXuP8GzHcjEqXQVjrInZRCnzjABALUGlW7mxkhzWCXNCQpbt92mpErliHthaOK/0duEBsEDTUc7inr6zRnjspLesbfcRZCf62HthIiEvBBOeiD6hrBeIgct6pXy9SgJ09IOOFRFRAGup0vlxsZkRUjohWSpELEYp1OLkRoKdQVhxqQJn7SK/lEyfben4g02TlTmR6aMWennaPH15HlWEm9bVYfgRMR/y9Ed2S/3YR6Y9G4KRGwI2ukudnef2gzSaZ0UIjcLwiYEWBc9927MNZb14UIr/91ldjZCyH7//8rnn1yZXMutUrsO+AupfJ5ov40P++EePZAr71+U+gvi41Z3si9lua6kBuZ4CZamT9XiyV0bDA06QzW85dYsxdpWsOF4FNkQY0G3GQRcYTFbXwmLWvVJssDhLqhiPWe/hfh1FDstNNpux4mjDzqn+3jsNPcTDDhPLjrm6Mp6nrrEZAI6AR0AhoBDQCi0Qgue92xA89BiLU2Ryke2rPbZL85mYMpShglQYQDdTCsL/HBwtcrE7sBzdtOA2KlFzk8BNqRKiHpHtkTBHblB877/0gspMIb7t/BBgfgMOHQe+FcV97HaJP7sfYgZgY20TymvmtqGkwIooptgWxiuphoAks1gg3ZYGXx2EdGgWNV62WkTk4ApYdBrct+KsEQS9LFxZeY1psRCRgpFZKZW/fbTImQwMi2X2BZ7kzwNgFLkYvdmWc2+whf7oHKidDg8ygiRWuIebEMDImm6MgMKdUXRDD87s5JbF6tYplZpEiesiUmpFsRhDNQEIwf4FbRto4DQJRSayHVu6kaCAC8uteZ5wuLcBDPKmOQgLqO6AnHzBegMk88GQEfiJD1fMGP9kKng5gx7YBZgA3vRIuWb7P2wqobFwJ5+y1SCU5NpmHEItyOKvUhtACTeX1aq3wxVkVEHSPyqcbmECCi7Pj3J3SnFwgUUGs/ymKFgx11V+FprOAZMfkd2NFVNPAUbGWJx8CoXtOuq86m7WgaSgNz/ZRv3HyOqi1cu9/mEH86iG0gK9FJF7dqyqN1JYeZ+kTfDqWr+57g4i6xz3BT0dPXyOwIAKuvVrqWM6gjI9IGNEjaq4bawROZAToRagf+8B1s760dEQQ8eRyhlzL/OLXD+I7P74DL7/0HBRLFVz/kU9jYGgUf//x96EgyPKeviHpnoaweOrZXdL3+8DQGBzHxU9uuQ/k553czlA9hbHxPIi0HxoZx79/+5dorE/jrDPXUtWyBGNZetGdzEDgbSl1E3lvST0iPENBFPBYnZBAEN0t48iwgVriXBYuUtANZ6hK/YTpMBb3adLii244ycI9MDm4IcYz06GKjjUCGgGNgEZAIzADAV2wMAJ29iDs3EGpaBUHZyXd4z0PgQhwItvHzvodZBvSgmD30PbcPSDXGuPDFdRbo0jFffiROrE2WJhYlQPOIoh0L6x5pSBaV01YtYdqse37gWIeXqkPMAJ4b3o3YgeyGH2kDA82ImdnYMRYqD5n7PKirDOnvQuG1a0Dt0z4/jjMQhGRrn6pFwp71/PggiH1O8RNajQeFi8Ye+1NUsfIrJWbBF5pDyp8FyptgSTXxy5xUFjnwRdkMa1zKHaaAllP5WPnu4J05siYDHbRQPlpG0Z58jz7tmbEYpyhox1onPSSI8dcSNhjhlxjST0rIkjnGAyfIT82Losa2Uwrd1khRBM7D/VMWZ9H0QwHY6AjaXRShHwBaHWHYIic19KEe0s9uLXYjVrLfFE15eNULciZX5bldD3IxCJE8bz1AsOE1OQRe0F3MlJRCNrM4fXNCJocwfGLcfc7YLDAGEcF6pxQPWgzyY9kQL8rdO1Xi+eM6s8I0HklR+slwRQdI6KyQYWphJYnNQLrdysSt7iyKN3J1J4sWbnTVbDqoI2NMQtN6s9FrQqslCLpvTxpTqnSmWVCIHSt4Voty9Sj7kYjcHwjEFQ3l0x/6lpnKbMOreMDg1zSLaWl1tUInFwIvO2NV4g1eHrGSf3TF2/Ca97xJ3jzu/8CX/rWz/C/PvgOXH/ta0E+2cmXO5Ho177/r3HVO/9Uhnd84JOyD7KG/4/v/hKvfPsf4/yrfh9/9Zmv4c8/8i5ceM7psh5iOUBtL3vTh/GKaz+Knwsy/58/+RHpVkYpHLmk9fuR93LsezjuR9wUaZRzfLwygNA6QxbUinR1McLG5Q0hVdFjzxQvNYTW69TOnGUhaVRvRvyoWmyShTssG4ylYWRHqZkOGgGNgEZAI6AR0AgcBgJEplOzSvNmQZZnJJFYa+keHdyORM/DpILcxjejEjVRStbB4DZihSzSu36O/p4Kmu0BRKIMbmPVpFe2ODxRbjsP2U1vn0Hcx57rgjkyAC9WhPfyN8Mwkkg+ugOjpQZ4mQSaL1zc0tBFAXTYbJKdNnzAILKXAR7LUjXiTykre5kRwuraL6So33CmjBcr6MWppGsXAwSbLoQAD5Wh26QFO5HrVDdfIBI+e66Lxs1ikgwY72PIPGPLJpGRDBIHWxCJcLzqFbJoScIaFx2KFmRJ72diYNxAxDXguxVRCsxl5S4rhWg0tmCV8QYkjZUiB+lqRvQg0yPDQL0viHvxtdxrlPCV7Hb8V+45/P7AXfj0yOPYOYv7wlpr9sVat8vBhCCSPXv1JXLTpHjBRlGy+A8R6Va7jwQrwN/WK3AwZWOveq3ITFV4VYv7hNiIqhbNGTEG1K3nYs06p4quOI4QOPAbhj0/FBfsMsypyD3ZS4sZR2WX+n29v1P9DZEVVUFW7q31BiyDISU21VYVbPkOB6NmUy2ubs1QGoI+jhIC4QtTfbvtaIyg+9QIHHcIuKbic+xK1Sfd4cyQlw+nlW6jETjhEfjNDz4rX1Yankg0YuO+n34BVB6WUXr73d9EGG7+9mfwvndeDdM00NbSMFEe1lNMfVD7szetw53fvxH3/+wLuPW7/4itd3wN777udVQlw3vf8Xo8dsuXRfiKrH/ol/+GS85f2v2J7GgesTyroXkGOFWraGF4UbRVnv5OZ/ZnF3nVpQxZ+BRX+1KX/I9SICt1WiQytc6UdXMJ0jHVPZ24QQKsAptitQVx2GOGkJCuZCjBTZKAYUZVQkuNgEZAI6AR0AhoBJaIABBat5PlemHNlYLkvm4K6W4WB5Hsvlf2W1h9JYgMdfkYiD2042dIXT87jtJYHp3RLpiRCLzQ9wGW97B7h2Dt3QUOD5Wzz4J/3suQfHgnspU65KNNYA2xKS475hs9dIFiI4nwoPUIS3VCMK1wkoG0lFZW7gOgg9zLGF3PAcxAsLZqXYLFHVwswr3GjFLeeAnIFQ75cjcO7lVli5SZVQGcVIDBCpdW6aPZCtIvdEii7qzNDOkUW2RPk2rxXrWochoDjJ8P8dVGYPkM9vAQwqNxHit30rFZGvK6EJmkITAUMX3GxPot4w3AYT6eaTDQbMSxyVbM4U53BJ8eewwfEOT7j/JTNzYqjQpf2gSifpYSglQcI797Fcqb1izYzP7Vf8F8/G6p5zRsABcYWGJjwO4yxIZDFIH48bjanJFKVVGp+pS3surJkGrxkqJImkt9J6dimdHiRUVgZDtDbh9DZRwoHlr679L0yRcDdSPk91sIxP1NYHMcaBqe9QmPjnWqddHiMBIcdC9V/5SNeJcJ+tsUbVLXSWVE6Wm5vAiQlW74wlTfUvfAyzuC7k0jcPwh4EfU5pLhqnXO8TdDPSONwKmNAGMMDXVprOpohW2Zs4KRiEdlPVnEz6pwBIXGEbTVTRdA4Iq48r/5o/zsN4Nl04KXULuiLBiYsHJPvWBJq4yGx2w0PhSRITJozDmaVfXN7iU53LoAEJr2OBNy8mNWVJ50wMXtT9QTN9wGmJEGctrCfRIpndIIaAQ0AhoBjcDiEYgObZfKpfbzQC+sJNca2U2TpHv9s98G88uoNG9GuV2wsUK7hEEhgUhsgyToD5ZWwmYOWuPDog8bTuPSX5gqO1xARLY/D/guyi0ReC9/E4gAt0Zz6Ml2wksl0LBFEVILdAMXikA1MUm2h21YeoUiw8XawnH3y+LYdhVHd/eCV8bBbXNJ/ttlJ0IQESwiWMNZ+Je+mpIwn75fxosVDY3iHE2OA2URi0aZ7a2IjKSRSTKcs0UUTPvYfSOIPz37Oo5UbUGIE5lHLvvc+gBkSe+1pKgKqWwBniAJKbOQlTvpFHgvRUgwtX6kJyQf7B9FY3BArNk4Vjetxl81XiTDv7e+Etcm12ONlUaBu/hxYY90NyM7EKK08qWgDZ5KyywnJeqX5ZMdhbF3O6yHbgVE2hdrWpZIw4hXEGVlJMcJ40BsJKjrpXZM2ngitzL0Ql/7MEl3M6rWtr6r4tr+dfrYI0Avrx18cvK7WA5f6YO+cl3V1qOepOndqP52drn5GSeYLBuwYgzls12Mne/K+yr63aSnh+uejIjNTMjgO+LPoAjQx7IiYDoDsj/fqJOxFscYAT3ci4IAbS5xIwYzGIfhj78oc9CDagQ0AscvAsbxO7UTf2YXRlulJRK9PHWnM0lqk//NGwbuxdv23ornDLoZEQvAShbF1b58sRf5I3XpxaZRgG7gaLEYq76MazZUzOrNHLmJcZoCqWKPT/1qzRyT5XQjmHnux6jb8WXAMGEYKVmuhUZAI6AR0AhoBDQCS0OA+RVEh3bIRpWqxRi2+wwAABAASURBVC5lakl3ytPmOlm/U5pCJRijCBFeL12+7Em9AXXWKBJxH256pSDdxQJAaiyviO3YJTusvP63gGgcRID7gnge541iTcDQdBaX9QsJnysSzIRy8UD6RtV1gy+m7r3pd6kI/tBOBEEZdv8wjHwJ1r69Ys/fgd/aJseXSksQ7oomqW2N5hF0Krc7Rs8+WbZYERFTbmgAyFK2R3B2+3YnZNM1W8qIRGRyikjetw2JJ59HbHvXlPIwExkxZLLU4cuYhNuQQsACpHgWfKtFRTI0srl9uZeCQQRwpDsZW2xkkI/2vxx+GH0jBbS6BcQsC1esPhctZhx0JJiNt6XW4x+aLsPvptXjr/eWDlGVDH6sYWKDRxYcBWH0TG5EGD175Ahu4waYAuOEUYRRssVGQQAP6nqRCjWCCHrK0u8RxUsNzFbXq/g1XGpTrX8UEDh4uwEis2Pizwl1X5y8HCm7qJDrYnj+2wb2/sRA770M7OkUVnU1Y1W3+t2vqz500eXlpvRnVze+7I4AyTO43PjKn+4he7Yn9cyKjBCtzq0yzFSBlsuGgOUPyL58u1XGWmgEThUEPFNd85a2cj9VvnJ9nhqBRSNgLFpTK86KwJg/a/FE4eaouKsTuXvLPSCi/aOD90n/m4N+WZQCu2x1d2fnDsrFIb3YSy4Qz3FBLwAbvdiReuQmRiZmEWEdWa971RcCWWLhWatqFdXC0kuV4OT7McbFVx8pSBUzrxajMnPyC32GGgGNgEZAI6ARWBYEYn1Pyn4qzZslcS4zVRGS7qWOS0EW79wUTHS1zoEi3KOGsgQcysbQVldEJBkHWf7iKBxGfz+M8ayYZxTO2k45QmR/H/ry7fATMSTaAVMtSWTdfMLlgqkWClGmrE5FcsqHN3fAl37WATe/W9YlntolCPcXZNrddJ6Mlyr8hrRsYg5lgUyDIN3XAZUSjL07ZPliRTrJxaYGcD8Rgo4JpzEHY/X4jOb0BICZL8ryxNZdctNAZmoEuQGkrFenyF9K02ZGwIAUy6I4yqRLCyqvtXIf5lvhokDFMhRZj4xjrEXGhcBDuWCiySsh6hqwBIsdWvhj2nFFfAXI1Qy5mBn0S9Nqj17WGCIAVf/mTvW74NSvhy+IcBslRPIAgwEfFbmZgGkHt6KyhHlqTSwzSxDhrxR3BdhLaKdVlx+B/kcMlEcAKwW0v4TLAUqHQWoPP8tAGyjU19guBv5MHOc9cRpini3/Rq1qVRtOO6e567SqT/a6zQFqD7c+AN0fUZlZEL+LzZQClsP6XvWkZYhA+MJUTbiHiOj4OELgqE4lqLqVieUfQHL8ZqRHf4z08PemhLrBLyMMyeyvZ5+PEZu9XJdqBDQCJywCxgk78+Nk4l/IT13YTZ/WtUllgXVvqVcS7WTtTjdFmyINUnUsKe5wRcosKKsAkZzy4RbkQpGs3O1pJHqoaFZfkkovDZNB3L+QJQctLEnHKDNQe+rLKh7EjfUvwZ82vAYlQ91EGqa6gSVdHTQCGgGNgEZAI6ARWBgBJliheN9WqVipsW6XBVURRDMornypIHfFP+ZqWQVjknw0kRRUZASOC4wK/r3D2gPLEv/z06twNI6oINepX3fzRookeWz3j2C00ig2/CNoOV+RZLJyAeFWLZYNFpnQZFUDBG6pfrxLXgNExQYCWW6PdyG6uwfBWK/AwkSwYuVEu6UkvCa1XiGLeWoXrFPuUsitCeUXG9rahKbJMehwGJzBWjuMBDNF4dSPNTxpRUvke+reZ6Yo2GJdRusrX3y9ROyFlUF9BmTXkPSyGBdjRPtN0FqM6hurVu7jwQs44P8K+/2foj94ALlAud2JQ1nKFbmHyEgK6/gATFOQkGm1OUN9TA8JZiM08CDXMtPrj1aeZQXDWu1cWrtnR9WGUZzDFMBYWYhr3AIXPw6fuaHBLUUuMF8Zl1S7WnRkCmKflP0Kp0iHFwmBQi/D8LNq8M6XcyRWcEm8e2LDhYhzVbOwpH6KfQBt/K29mqPj5QEqZ+RxYPUwzAZf/o0iF0rUU0FsSFEcBvpdpDS9R4Hi2kD3P5Q3xMaMVTVM8qr3TlSuw/IgEBLubmT18nSoe9EInCAIOFG1rrK8fkRL22BXdsF2u6cEer9BGKLFp8BqXpQauqLxa9ZUJ8ip62lqBDQCCyBgLFCvqxdAYMDneLgSzKlFj/6+NLZC1tNLrv4gswX/0vJyXByjuz0gH1GWGlZxSOrMJrx6dSMREujTdcwKk0VeSs3Dq1exVV1MWoVqfYKDLOn3WA3wDQP9CfXyMZZTxLvsRItTGwF99hoBjYBGQCOwKATIup35ZZALmKVYpZf5oOw/wZQl88gwA3cc1EfHweyoIiylxvKK6HPK0txZo6zbo7sOgl6WmjMaYMbYol+WSrPyq5bZET5JAhOZRXUhuYVMA7xzXwZYBpxy1fVIaQg8FkGwTrlWIf2lBB6x4TWqtYt9aAR+tR+2xBenNiqbB9DmwMoGF5fymb7oaV7mqCLcndVt8JMJ0AYF4UZ1FCJVdzKVNp+yE8FPJwXhbMBiFYwgD7MCkB9piIOs3JuM85FknYKMFljAQYGLzQgRG4ggbqjroigIxVg2hXa3BDrc1qppLmVmCbUGHsfKyt2ouvMJ0spPR+hWJkhXN0bGAc4ZGALx48yY9YD4Hnau9eGxw7Nwj6SZ7NPJqVhmtDimCNBeSc99Cv+ms4Bkh7pniVdfUFqe+/ZmxjzzB1Q/9C4JIu3rTwf6LxjE1ov2ovzGYdn3Gjsl23V76neTMmJvB3aWid9nILwXovIwkDtNShvi9zCuLlWIP0VUpMMyIkBkI3UXmOpvNKV10AicCgi4kVXIN7wN+bqrVai/FrmG354Sxlo+CAqurTak7MqB4wcaPRONgEbgqCFgHLWeT6GOb1b3QnOe8e/VbcaXmq8Evejqiri60U0YptTvtyLgZgx00858sRKUpVOFW6cI9MjwzK+LLKZooUnWVeFN7nR90qEe/TTHWDlPSRkKturXNJtkXguNgEZAI6AR0AhoBBZGgP5fh9btpc7LFm5Qo+HwUZmLQRGro2NAp7UL0QjgJZpl3XILVq7A7j4IxkxUTl8ruyf/7WOlevBkDERsYQmHG/pwr7HGYlXOmUjssCv/0tcgSDfAt3y4PQ+DB85h+28P+wzdqkgyXJD6QXMHjNwojCWQ7vLFqaJDKwpc2Bagozw74W4fGhZagLO6FaXz18t0/Kk98ukAykT7DYowxZ2MKAmScTDLhO0ZKMb6RQlAuuF6rI5tRJvxMqw134JV5hvRwi5GPduMdlGG6pFzXFzWsxJne0MwDA6/bn4Sq8WM44p4h2z9REVt6sjM0RKVEsidD6Jx+Je+So4SupXx4uJiFiV2LoAhrrlA0O0uphp3BGKDYcTqhmNzDGayQnvqR+dODASGnjLgiVsL8tvedqm6r6CZJ1aQBIp9TCUWkETcj72glOpP5yohZIG7QgLhEygJZovNKltsUrkI/bjb49XfwwRHeC+EmsOPqv7o9y9a3QiojNQo6OQRI2B6A7IP36wDZzGZ1kIjcCoh4EQ3wImfrUJsI9zoqikhEL8bFKiccLFdTbgTDjpoBE52BNQK5WQ/y6N4fg0Gw2jAsUutB2cdKQoTGXo+sqaWbowoS49EhjfYVmH2G6TQ92BoqU7twmCPq4WsX7Vup3K36kc0XICG7fxYGQfFDRzpUBhMijtNkTDyU2+CRJH+aAQ0AjMR0CUaAY2ARkAiEB3cAXYY1u3UuMjV//qY0UpZ9As+tsEchG0JYrdhgyybT5g7Hof9+MOwe4dA1tbxp3Yhdd8zSDz6/JzN7F27IFgQuO0t4LEoyDqcfJMPlFoRRCykVilCas4OplW4KMgSm9XLmARt/lM8nfDyL301eNSGL4hjbprw1qpHr0n3cMLEi1OHx2VzvnKdjI3nnpDxYkTEBt7wugCvfZMHQ2wGrCtk0MTjM5rafSOyjMasbFyJyoZOmIUiEgJzu+pOxs1wuNUnC6WyEFxgKjqG4QOOWURFkPqieMLKndJhsJEEWb03GmchxtQmDMRx1kADeC6OOp4XpDWD27zwZswVsU7RErilMPsLXmXlMokJ6/amFZh8ge1eIDsKnorIUaxKAMZNcM7hVa8ZWSFEJRiHL0pFEiWvD+60eipfKBhVIlXs4yykquuPAgJEkpMrGVN83StfG0wZIbQkLw+zKeVzZchfO/VH75KIKCP2KapJQ/zSVktWW2mZGvLFpo9Ihfc7zjT/7aJKfvyqGxmzwkBzpUBjUYA+lgUB0+2X/XgRZb0rM1poBDQCMxDwbfXmZ8NRvzMzFHTB8YaAno9G4IgQMI6otW6M8yJqIfmIM3WhuVhoityFn1Q33WZR3YRPbxvEOIh0p5vZ6W5lrIL6CoMaYwLS96NAqG9WXcuA9WMkUPoQx6Cpdgm0hbsAQ380AhoBjYBGQCOwSATsrLJMKrdfsMgWSi2AI0jGAgxEYENZVfcNMLQYBxET/8f9xCThilkO85E7UPfje1F/86No+Np/I33LfUhs3Q3yjx7fvheRLmVlOL1pdH+vLHJPWyXjyIEB6U7GSaRABFfoBkJWLkL4KEgtE5MkmCyYRQSbLpIvUPWa0nDb6hGsUpbis6guqshvUGSbOZKT+v4m9R0s1a1Mi+CvGxoAN6PWbxsLk+5xqGMjXwJzXHDBzodW9cXzN8o84Z1+VGHtTiPbqW0QtWCYNizXQHE0i+JqwbyLilord5Gd80OWuGyfAZPnkHAcGIENr3nq/GZrTO8HajbioPcF3VtSL2GdTW85ypgg1qkf3toBch8UdFY3Pnr2AFGFaUwsaxmzwMBRCcZIfSKM8u3g1ac9fWRRDhSeEwqLSBiC6CU1b6a3Gio+icPxcWq5/Woe0UZgOklOLmGotiz2rBZDbOf2M1LH9HdJDHrK3RBZtksFIdba6m/AfjcncpBPj1DCneV3kcq5SRKg3ytK0XwprixiM0DsFcFVf+6oiQ5zIGB74pdd1Pm2uqcVSf3RCGgEZkHAi6h1nu12iw1p9fdtQs0QC8GJjE5oBDQCi0WgVHbQ2zeEIFiaAdFi+z8SvUn29Uh6OYXbviLG5Nk/UuEYDgBamHF1XyXL5xJTLNzj4q5PKIY38CI54xNaZ9hjU78ys+q30kuKwWtaedVFJ+mHFu7MH8CwlcD5Ww287J44CnE1d0NbuNcgp5MaAY3AYSGgG2kETiEEzOp7V7wFCPLpkJS5IiUiUJbheUHkkP/2jJ0FuQ3xkupGDLMcRLbbD90NM7AE6RuBZ5YEEdQNd2QbKnVqDRDbXmXAprW3q/7bK2eukyQyWcb3ZDvBoxGExNi0JnNmXYhJi1pTbBgYYuNAJOXHKDMZh+4bZKYqvEteU00BITE7UbDEhLuiUbawRrLyXHhzB8htDbmVYUNqY0EqLFI8mxmVmpFpbvus4ZwsD+raEesxQespIt6L55GFvgV73IaRK8HvczvIAAAQAElEQVQ3R+U8pHJV+ORnXpDJlseQYOPI+hzlTvUdpV6wqlpzR4luEy8MW6iPdcP2GcBjsAvRuRvU1LwttU7mbi12y/hoiRDroFn5Dgk3PsitTBCrg29xSbSbDtHtAQJMsuKULmMAVsDQMaDWtSN8x5KnGpK85NJkyY11gyNGoDKqvrv0Wj5rX7SZRxULEduFXoZiH0CW59M3/8gwifpIGBZFMtDGEiXIjzv93WGe+BUR1X5y9nn4MVVOutSuetuFktgMoPx8of9RA7tuMlCZul80X5NTss6sqL83nqkJ91PyAtAnvWgEOIvBtdWTIJaj1oQmV/8fA7a4//OLHkwragSONgJH2P+rrvsYtlz5Xjz0+PaJnu556GlQeVhAadIJw2+95xMgnbD+j/7yX3DR6z+A177zT/GKa2/AP3/5+2HVlLhHEPIXv+GDuPErs9dPUV7GjFopLWOHp1pXTQLBS6NMnvYjlQDdvxYLs/824ORl0ZwiWV04khVSEFVWS4aTnVPfrd5Mhy5kQkWrqMZ26ziSe29HdGinrHKa1I0d3SRSAVm8W8UDGGAJND/XhkxXA5wxpcOoEvrQCGgENAIaAY2ARmAxCBjVd65wa2k3RyWom6vQdciBAwwN5gBS0TKIvOfm7P0ZOx6H9egdMHxBtte3wN10NsbefS2KguusREbgdT8EY6AHdv/whH/x8DyMg/thljwE8QS81kYQkeyXOXKok+5kms5SZFSov1AcwJUqJmwZL0pkGuBe8364r347yBp6UW3mUfKI0Bb1dC4iQuhWhsheyi8lPBJXj3XHsuaUZnY/sXGCWMcGsb4ykdlmofGhCCLeBrCMCD6DMXYI6dsfQON37kD9D+5B6t5nYBQroIMl0iLiqMcgCnmGUocPWm7ROo4s3THHYY8Z0mL3kNjXiJuHIJaZ4FYCsUPU3xyNaoqviHeCrNzJv/VOZ7SmZnmT7OA+2SFvERehSAWd6skFo2cvzEoRgc3BxTIzMWKCMw4HYwiPsWCXTEZ4Gi3jBuwKBz01kQv2QR8nDgLj+9VcYw0qni5DYjt/aHrN1PxIda+FXpY6tQYg15tUlmAWRTI0m3EZ08uBw42y0G0TVUwP9OQvlZnqVxNW1cWMJ34vqXyu4DvAeNWv/PheNpfavOUuGUYt7U/svP0dr5VmMC6n5kc04S6B0EIjMA8CQaRN1kYc9b8QwTRLd1mrhUbg1ECgsT6Nz/37D0HuB+c64z/78Dtxx/dvxM//8x9w7pYN+PBffBaer6ycz1i/Gj/5+qfxxG1fxac+/n58/aabsW3n3ild5fJFfOjPb0SxdOx/12gdP2UyOrN0BC6NKBgfFgu5wkHAKwFDT86/MEswe2IgN7NSpq2iuhGXmWmCCHUqMvNqLEqTpUZo1cGCAcSGnkVq761gggjwqlYe4eLSTwWwcz0YqjTActTcHCsBiB1Vo+KC+qE+ddAIaAQ0AhqBZUdAd3iSIcB8tWCbiyCf63QrgSId41CkxIjgQ+vYAMh/u5dR7l6mtzX27oB95w9lMWtdD56uh9+YRrByHdz3/jm8l78ZPGHDCYbBsiPSv7hUrorI3l6Z8jtXgNyjkM/3oUIzvEgMZIFqRmT1ooUTiEkL7SirF3LyYwgCmnJ8khej7EQIVm9EsPmiifyRJOj8qb05WrVCP/NCyoIdnLrAloULiN5oAWXDh102wcT6LVQ3h8Zh2qsEZjFJlBNZTmslO8vAm0+HL24QKh0ReIL8J1zJJ350Tw+iz3fLLvxUEmBA0nMxUghApF+lTd0cxLvmAAlAvMtET4Fhm1NGkzkEZgfgsYwgsQFbkPFCZcHPxTF1fd1bPkpuZSolGLkROQ/e3CFjiE2VoOpWxhzsQWCKJaY4XdPhYFwAIbQCQbuLCEWu5lVvnEVZrFBd4XCs3K2U7GJBQxelpeVyIeDkIV+WSn8/plulh2Mk2rlMFg+p719mpglfkNph/WI3/9ZUfbjTplJkyJA9ulXDJJmpCiLkybXSRwfvw2MYlKV07xRXD8mgNCSL5hTDzzLQ/EghnCOlFxsKvQy7vs9w6D41x8W2O9H0DH8cTBCGvlkHst490eav56sRONYIuGJtQWMa2o87waDDKY7AR3/v7Xj2+X2464Gn5kSCSPkVrY1Yv6YDl19yNhLxSfdLf/i+t+L0dSsRi0Zw5UvPQ1tLAx56YtJinoj5P/vUl3DB2afjdVdeMucYR6FCdnlyrwDkKR59sdEGGgyGYXH//WyzWlzSy39yXWqBWeIc292Z82iz4rKQFoRk2UaZ+fy4080eEeimuBEjXasa0+PbVmHS92VkZLe8sQtJd9IFxGJIEAR8qLrKFIWuaOIH6mbVqKi5imL90QhoBDQCGgGNgEZgDgSMinoazY/UzaExezGRjaGVb9RQbfv6GerNQcTigrwKzUFrmrOhQ7Dv+IEs8cgtyxkXq3STak8Z/7yXofLOG1CJ58DGh2EL0tfITzLHdtdBUkP5zHXS9YklSOrRciP8ZByLJbhQc7goypzBpjL1REZTBbfUOojSRyt41fO3Dw3LIWjzQbqVIZcy2VFZthSxOzku1c0xJmMS9CJGw+pAkLSRPcfF2CUORi5zkNvsobyKo7jOxtgrWjF+zcsw8juvQfG8DdQMhitYZpEKYgkYjKGdjWAkp8pKa3xJ3tNaLnwCUahOfGxBqBOhvzcbIBtxsJIPgwk4vaZmqRPvNmU8QwgdpoaQVa9LrJbxvaVe0BpTZpZRsJzCOAjJ9mrfftWffn64B6WYAwMclvh1YUzh6vBxlIJBQbuPiboIojGFWUPOhomktHIP3S5Vu9TRcYpAeI+TXiMuvjnmGLqrqlQ3VGZTC0ntuTb/6Elgahe64qQ0BSLdY76FXM6lLGoJd7rmv5J9Fp8eeRxfyW4H9dFj56WeWWaINqk5zzcvUh7drq5bSi+kSzq1gYj6nvtU+9FdOI42hGpnuTxpy1GbjIGlNvqWp1fdi0bg5EXAja6SJ0d+3GVCC43AMULgyaKPYx2eLvnznl1LUz0+/J5rpJW77wez6t7/yDZ89yd34kvf+hk+/blv4RM3/A4sc+aauOtgP/oHR3HGerUOps7+8d9uguN4+MuPXk/ZYx6MYz7iSTrg1eJmORBrvu0tHGTtQad56GGGu8ocfzvG8WVxs/VwJaDiiZA0bZkeEkR4EMnItFm9kZeZaYKs1KnIqj4CSVYalPfqOWrd0USH1LOZVE71FAx3N4aMJNLDFmVlKGdNBKmETBtlT8ZaaAQ0AhoBjYBG4JgicIINxvyKnDG3IjJerKgE49KPdQT1kmx0xJqhUADa7YNi0cjhTrdwr5QQ+fFXARH7510O/9LXwMgVwcoOrJEcphyZBnhnnQvfEnX9PQiJaGob238IjJlwN6xCdHcvnKKJcd4IM8aQWMGndLOYjA8xaaEY4ZOkv8gu64cvMC2/IS3HM2o2FvjKdaqsZ4+MFytK3MOOjGIEzUFFkFG/Fl8JbpoorQykEQP1R9b75LKvsM5D4XSxblLqVAWvvUnG5pBgmEUqSMdgGAy2Z2D33hLyCjaU1oh2oj6510TmaXuK1Xq8yxQ1wPYCR9LMIU2snfjuKqsSkqgndzS2IOWlUlUYgkCsfyyCxgcjiPapZT2RkxdFFfm101HnVlVflsiY5k4m7DToXI+CaeIb7UmMJwpg4oq3q2tW0gkE1V5kPZREhm2UMQkm1sFptpaS4tqs+vCQuYXFhB/3HFtYWWssGwLFQ6qrqLrsVWaapPuhWCNAl3FxDiv3kNSe/rLUaV3NyNI13llOwhT38W6GY4CVQNbsXxFE+x8P3SfSvZJo32SLCYjWRUP93tHGFM2LAs2LLPVF9YwPWadTvZUCKFCaXgA7Q3GOgqGnDHj5ycqhBZ58ntQ88VLhC1Pd6OoTb/J6xhqBFwEBzmLwLOVWxq4ceBFmoIc8FRGg9wn9vwEHxzp8aUjc8CwA+PVvvwqHBkZw692Pzqq5t/sQHn/6eezc1YV0KoFv3HQL9nT1TtEtFMv447/5grRkJyt4qvzeT+/EPQ9txWf/7g9h2xYVHfNgHPMRT5ABlzrNcyMGImIt150OELk0QEksQL+43sdN/RzF6p3jzZMGZ7L7pGHLmISXVC9Ks3MHKTtroJs8qiCrK4pDC3cvGaCWqKc+jEoWtdYe3O5Hl5VBvDB5ocXETVDRUzftpr5RIUh10AhoBDQCGgGNwLwImOL/KymEG+WUXkxw2JhUixuKCO3uBmw4aIiOC2I3hiCakfWhMHr2AZUSgo518F7+Jlls941Isj22Yz8yNz8yxV87WcBXmqKiTRGJ+5+U+pEX9gCcwWusRxCLIvbsfgwWm+EnYqg/HSDSCUs8AqiFsznNwp2IX+oqEFOg+HDD0DaGnd8w4BXn7mH6i1NJM1i3hSIs1Y97gbvYk8whwhjMUQY64t0MzEjCz1god/pUtGAIomp9xVyFj5+Kiy/YhinWhkZxEE8/w2Qf5Gu6sM4Hkfd2loF8wyf3WiCLd8r3FICSzbEm/gIsWj9GUnCbxM15fQA6otWXjFKaCPqGx8QYFcoBqV2WdEkDcWyKNAoJ7HSVNbrMLJMILdz5NAt3ciuz7/Qz0G/b8CMOGBPr03E6b1OOXMIgcsF+mY5D/R5wMybzdVz5gi/wHrgQIMhSLY5XBEICfT4Ld5p7rGpNPtsLSkNSm0j52dzSDPrqxoneSUB91YbVVhpbsg045BfxZeNZEMn+lex2SbST3hXxDnyu+eX4q8aLQO0PxYvwOWCKex+qb9giMiKx/1eGkDM/g08xWVi/kSNePYfykCxaUBAxP/ysUut4eSATebHhQKS9zJxkInSLERh1J/yZ6RPQCBwrBPyo2qAy3a6JIbkx1VXfRIVOaASWAQGbMVyQMI95ODtmLDj7unQSf/C7b8bn/+NHcD2xcJ7W4t3XXYUb//bD+PynbpB+3FtbGnCTINNDtVLZwcc++a8gC/kvfPoGmKYa85v/fSvWrGzDV/7r5/jHf/setj+/Dw8+vh3//p1fhk2PeqxmctSHOfkHiDPg9Cpp/R/pAP9+oYvxKEdimOEd3AC5nBkNOGqt3FNVwn1QLBa9tHq0yKxxDTMdNS+lFodW1bopjKk8dEUTuqaJ9z81QbgHFmA4BzFsJJAZFZlqx8m8iYG4KXOGM/PClhVaaAQ0AhoBjYBGQCMwgQDzyjLNraUxyw5XxGeEK1JiTPwvbzG7EY0AXkK5DJEdVwVTrlHAWztkCXNc2AeUH+IgHoXdP4KGH9wN8skuFTINKF1xGQLDh9XbA/vgAOznd8kq54x1iG3fD7NQRF+pE0EiitQqLuuWKsp8TDax2fLfGPoOMLyVARwY3ydiOdLswm1rkhXWcE7GQedpMjZ69gJV7GTBIsRopAxffJ3MYzB7mSCt1fK4sKYIIsaxiCMggl3oWSNZIcUpiC/WYiaY7cLjeezZyyas3InEH73YcKNe3AAAEABJREFUEWS+IuNiPQbI4p0aPpgN4AsA1if3IFq0EZhReE0ZFFcr4j/ab8AW1056h4VE1cUM1VGAOKiMiHhyuSGy6HIVPpRerhD6yufNiiSv7feRszahzAzQ0xYGC2CK8zGg8MwF+xGITaaYINvjhjI0ofOj9rZnIbRyHwu2U9GiQiTNpZ6TU7HMaHFUESiI3xH6XSXLb7EfNO9Yk37cp6pR+/5HmCxMzeOWRirMItbaaUG4N8HhPp5LjiHJbNBTHb+bPhNEtP9B5iyQFXzYdNSugH6vzIoas/UCLi3XvTwwUuM6hvSJMC/2QW5INp3Fkahe5jmxEUf1C4W+hwyp0iT2ADtsE42NTFq759Rek6xbjCAf8+HGxmL0Xywdyx+QQ4duMmRGC42ARmBeBFxbcT9k4W544/Pq6kqNwHIgEBf/mv60NYJjHT7SIm50FnECv/3WV2NkLIfv//yuebUt08S61Suw74D4Ry00s/RC1P99I8azBXzr859AfV1KlKrP+975Blx07hmyjMqJiCdf75lUQikcAylgPwajnCJDXLRTwTlmAnYSuDAQZPt2E+u3GyCXMwQDWbkPB5QC2qy4TBTFYtGPKss2qzi3+YSf5PKG0KyIRWCBgWKIIxDEvlnJiRRQ6rxMxvbIbnmTSL5GixsKMJ1xjPlJxAXJHphM6iSyHEVftTOrFh+yYkGhFTQCGgGNgEZAI3BqIsB8R554+H9bZhYhilyR5bGqhfuhfloHHIQt1qF+Uln71nZjVF2jBFVSM/HYC2C+Dz+dwOj/uBLlLYpgTmzdjbqfPQBTEL3BpotQ2rIa8F3EH3oCkS7lvsNdtRLxHV3IVupQqauHKcaczaK0dvy50n7V+tiEPUUltHD3Y3xK+VIy9P6bKrwoHpq/pd+s1k3hi1MRjSNYt1k2MvfukPFCosjdCRWvakFuPW/ALHrgQRZe3eLPhUdsUKAOySVNkBRrPCuKiGegLtmL8cDBAw8aVC0Dt4DCOg9jF7hwM2qcos0xIEhqi5XRmdoH27HEWk6clyDz1UtX1QKSrOIjw4LUjgL50z2U1vgyFNb5sm8i3S86qAhterFk7XlKhSMURk5tHgUtK2b09DjPyzJp4S7odVtkeZVwD6B+d5JGp9QhEUTTFIk1bRb1hmAoRS7H98NFQaQW//Fdtnjlo6DJxSbJM5VhLDfWR2GqR9xlQd3jok55AZq3v1h1L7E0PPX7IZcrRGwTaU+k9mydFLkyBkoa4pdlmsJFvA1nBvVYEU3i/as346utr8TH6s/D6xOrpxDt1Izaj4hNtYAHCP9OUXnr+QFFGHqWTfGxPr5L/Z6GTwHFG6Ua3KphlcrNLom8J7Kezmt1s4H4QRMdUVMqDzyl+pWZBYQjfm+6bzGw/+apc1ug2TGvDl+Yyo0YOFNPqxzzSegBjxECepjlRMCz1bpP+3FfTlR1XycyAol4DB/7wHV44LHqI2I1J0NEPLmcIdcyv/j1g/jOj+/Ayy89B8VSBdd/5NMYGBrF33/8fSiUyujpG5Luaaj5/7jmVfjA9W+eCGduWIMLzt4IKqf6YxEW/5//WMzmBB6DFkZpQVqfL26AaBPnhrSBD6xnqHOAsV0MW/pMdAqim6zcH6n6ck8YtjzjQuDKR8m5GRM302UYFWUdJSunidCPe2RIfXXSIsvPynb0AjenYT38SEYQ7FnY2YNwmgJxs9Yte3GydTIOLAO26cByGMq+WswaFRVDHxoBjYBGQCOgEdAIzImA6WRlHf3PlolFCFeQh74IBiKwkYQjeN5RwVnSC1NtC3DTKzH9MMiljCgMOtfBPjSC+NO7RU7odjRLYrdwyZnIvv5S+MkEyKq67pZHJeleeeVrpV505y5YBUEo2VHYA6MgC/lhvwVBxELoTkEqLkHQeZC6Kc6BzoXSyxly+9lEd+4C5JbXkAKENrnJEZH8+FXC3brvF7B/9FWYj9wBVEqybjZRCNTah1xO0HqJdJgTCKwq8Jxd8JoUGUzliwleQ0aqmbmS+I4EWS7WeTFuYlP9MxiN5dE/AOzeI1UmBBlTZM91MXahi6cSHhyxblwZfx7xQgSBaYsNlqToy5b6xaqVO2W8JEf2HBeV+DDM+2+BfcePQJbz+Y2eWPcBZDX/vp4zEfMtdLmCvaNGyxGyoxLTIC1YSLHJUdvloF/CoOFiVGw0+GYAbnpgRVOsSSe/VwMRpNkazHbY4roKrdyLvBeLOYjYJD2/QvLFC78o7Mdnxp7AXww9DPIl/uLN5OiPXDzE5CCh9brMzCFi4jKhDT6yJKd7JVIbewEglytUvvaNgdwApPLpoVj9/Uwwdf3X1kfF/VabGUemNYLwaY7a+to0tS8bPjyxAcS8yRoi1MllDM0t9LFOG340P9IKnwJKrOByjrRBQPVUN1ugusGqr/aOiwIkBw2pRq+coOuUxgn7lhVzCOpn/68MUEwq4dwofbwFyxV/1MSkPFtZ64qk/mgENAKLQCAw6yb9uLuKq1lEM62iETipEXjbG69AY/3Mtfc/ffEmvOYdf4I3v/sv5ItT/9cH34Hrr30tcvmi9OVOL0u99v1/jave+acyvOMDnzxucFIrgeNmOifuRCpVy43fKhj423oDG20Gesyy+XwuT4peoPr7aUOmbylxkJV7StxIUcFQoG4Gw0fKzXkId7dqbRXvVdYSXn0Aq6is5vzqI+mVFmXhFR1Sj+TaOeUXfjSrrJ3KMbFQjrk0NLx8VMZGWUZaLAMCuguNgEZAI6AROHkRYKFLGWKLFnma5UCREnGm/g+PVNcMrdEBGAaHm5lGuFdJTRChmWlA4tGdYmM9ALkt8drqJ0YlX+bjb3mptHYnQr1OkO7cslG+4JwJHZ5IIbq7B15goS+iXiw6l0XpRKM5EgHU2sEU2wZzqBx2caGXgSxDQ1iJ3Jqvs8rGlaDNBrNQRHSXWucEnevhn3c5CDejdy+sR+9A9Kt/J8l3Y+fj83UHty5Q9a4P3++F1xABj8wk+pTS7JKHftwdD346Dm4nEHfjyNhZRFdslY2e3qbWgjJTI/wER1c/kyUbGg8gkY2gZEXhrmmTZSTIyp2eXCSr9lz8IZg3fwXR//wMrKfugbHzMRh7d6DSHmBcEPHcAl6e7cAH921BX6FAzUHGGg0PRWAW1TiycInCIJc91KalneSU8ERlUOZLYpMHYgiycg8ChmgN30+/A4Yg3aWiENyMCglxfSvGPAb1O1Lm6ncGJ8hB1u00VVrTfyW7HZ8Yfgg7K6NUdFIFIoHp95ROiohoihcKUUG6k05F/N0j0r3/EYOyaLmAy3slmZlFDPpFWdpixWRcK+hapvzE7y1l5gm9cfU7YBXYFK1mMQcqIOMo+ptDMZ1jQlzetU8BhecQbjZQm+mh/2EmSXJq22KZqCX3xZ8mqT5WtZ6XmTlE7z1M3J8BMYGbGYE03KK5zaH+ohbb7gE5fmBN/l+SBVpoBE4xBA7ndP2qlfvhtNVtNAInAwK/+cFn8YrLzp04lahYd9/30y+AysNCSm+/+5sIw83f/gze986rQe5h2loaJsrDeoqpj7B9bUx+4P/kD95RW3TU02rFc9SHOXkHePyb6i6CFpB0lvFmkpOh1kegv5Xh0qha6P2qGCBZfUQytODwk+rRopAon+xlMuUKgv3/Z+89ACy5qjPh796KL/Z7HaenJydpZpQzSggQImMjojEYbO+Psf2DDeuw9np/e9fYu6zX2DgCXifAJkcLRJBAWSjHmZEmh8755VDpP+fWq57XPd09QTODQtV7N517bqhT6d7vnjrFqWgQxxpOsgXQ+3YHZ6HRHb6Sa87sh/Aa0Fp24ZulvMr3DAldhhObGemCN60ShhyPXSyBWAKxBGIJxBKIJbC4BIQbPj99K3zmLs41n9oUBUWwRficHyUsMScnkTIb8MwORKCjYiIvAjXZLrm945DSYCcyvHQSbtf8dgManLK2O5uYYdA9+90HUb/0AqC1qA9BiA0VHgrWw5UGGAxiEAensDX9EEC0xLHgihaKBQwKn0LVKB8Rqhhr3zPQxInlwC3Or128kQMkHtunQv5op3vdG9F43+/AecsH4G29FKBFCwbftcfvC3mW8BmgdtYR6O7NwHcOw+s8VsNmiaKKLFwHbiUE/rXpgloc4QwZ5MDf7Dk38zQmrCIY+3689QFVzo9cmfBA1oA36XCtMJ5FsmSioVtoru6NWFTo7/w2/Fv/J4zbvgo+T/xMHn7r46Vyf6howVrzsxc7sG0NK+tJXLirC7IuYI1LSBru2aOaqutUPDkZ2vqJ2myv4+E6ndhEEH5Yv6+7CAIB2QygIQXestjCwZwLaB85IVoLWaYMx6rRtwI4bzlnpgOV7YbDcRU/296EV8MuZxpsR/xXstvRLRNgUz4fm30IH5t+GJ8uPn2Me6GC8fXJ8Do9mftIZl14jEqHgMEfhprbXecBndtD+skeL0HnsN5aNIreTFmujmi+VZaOYuPyKkJeu3LUYepb9JZNT0thiljUP5rfVUfD/VfENq8yLBQwzvfWlS/3YY2F14AXrichz3OvNNSiYnOZc5VN0pQOC6VRv+rVPvh+CNoiu/AUfV79pTur+uPo4UKZSsTeGZFAXOmLTwKOsXreTnl6dl46TsQSiCXwwpeAfOHvwk93D2YP6Rh5wkNjKuyHlffDSJs/cF04oJx8TOBGNxT5A/UAUiQUV/RKc63vYpW2JnciAtEVoc3jSRRPCiMST2yj19s9M7xJ+1ZWvZ4uvDqsiZ1gDfdJmUJ2xlTFmgnqg+WouDFtAEFTxXkypiKxF0sglkAsgVgCsQRiCSwqAdkyKeO3gMJFmRYQG34ISphBCFSPjQn0yMMwzQBu9qg966hYBGoKO4/k43sUWQHA9Pj22Ta4osz3GHRvrumjRfYqUnc/heZ55wMZAkEIcGZQfswKtdsXAknza1k+5beQKhmC+Mszn0Qua5RGphayBM4ZmUCVbpbCUCUW8RbTcldstM/+qg1wb3y7At9BaTk5DDTCNwoVD3mTNE6iYE4BornRh5c5wiQ4KzpVeKKe9pMfADt+BH/2ALRy2A7L3TeSyDs2LiuNQlwQAuJPPiUwHZ4Sc9Xv3RcCeed2H4HpNyDLCXi2TQssbcA/9V97/B6wDXV/YAOcG98G5/2/C/fVb1P1iMH9KmSPx4fOhQFmjAacmo/skwbMaclZ1L+wLZU4SU8Up1WJoGelCiOPbZcz6Mzp660VBLQDjkFjTV/CLBNwKM9BTpyLhKRzEke36FsI0bcRLOQUOO+hggYWCAnHblpLkYXPoWNzzw4l0uy/1O7B9YkBfLLnOtyc2qgAeJbJXbVhLHQfIzD+hWh6JloYiwDoE5FwojPkmt0jwJraehrobtlPD3MW96uBpzJ4IUNFWp5eluBbEX/7oH1O1Mo+JlhnlNGvVzFoV1WeTuVVpOW1K0dVR6HA7nbtdmaLzOfwh0w5vdBN0ByPaQyQpxsSvGdmNNQAABAASURBVADJYHtli8tkJDyBdH94P1vKRAyD9qM/EYp/1asC8GJAbksAlhf3K7pHKobniSfdcJHNNdc8T3oUdyOWwAtHAq4VXzcvnKMV9zSWwKlJQJ5asbhUuwT23+mh3LJnaHe354RxHrSxjUBO1e+ReIUdiv0zUyHQzZMUzvOtLOorLuEosru+osLFPNZqj+hOhw9ZDzXn9uodmPIDldXoDs3KJId+otIHrW4kSuEgztUldB4JAnAbeXgerRY4LrR6mE9k9TcnJbJPGbDGpBrYKuLz3os7GEsglkAsgVgCsQTOnASEGz67F2qlL9WijybqCEEJS3YothnCEdl+u2UKuMleRWv3xDiBw0RI7J2FaDpg7XXfNIhCz+1F7IozEFPYB5SvOx9uZxZapQpZbcLLdyIwNUzm16HR1BVww2MSVdEpeM1gRpXSkVJh5EUL9gwwRbSTCRmIY8CUtWYTzhGkpx6CKEyj8cwQ5K5HlKkUMTW2aJW1hVruC7kIbPdbH56VE6F29kKWpAhly3Q5HALKbleoxMC047pGDdrOhxEYGgKnRIB4XRXx0glAakhoocmgjbWHkF1bU3m3fEfii1+R+No3Je64U+CZZ4Wib0zvpf1PoKrpEJ0ddPyO9k2UQvmz/XTn5g/A33qZKhN0rwRrujMQL3hhQVEBLSHx+XP2YHdqFs2KB2NGQjYE9AVmNVrsJxTI6NsCLZlGhSLt9q1GJ1L5XsxKA47pQNC41KgQeIgOdMoLIvZjQlYSiYi2yKlo9EaFSizhaWaY4dF+hbGz7x/d9/xc429Nb8Rf9lwL1nhf6F6XDG3Yf7q4A18r04U7V+r5H6mEtyZE9s1PpMftpmf4eC1nt729vorvqGRC6CqMPLO1cOS03vqN6IuFPproNfbi2uQIapqrWISngnle9AFVJjJozmG7i/ahEd4e2rPA9y4GxJnYdV4Ae1DjqPqmQtRHvuZ6W6c/3++aC7TcOT10t1Dlui8OEN2nGXSP+jZ+Eh9dVRWdYU9zx6F5BQTSBtujPsPNxdXHElhGAi/MLL5uPNnxwux83OtYArEETkgC8oS4zhJTgyaV37j1bvyvv/l3/OH/+Wf8w7/dgiPD4ST1LHXhpJtxdYHajI/ieDiIM9LHVjFzyMPsRFlNdHlAduFhgU4ai3lBAkUfiDTcuWR14CqwprrWLMKaCDWhmN7uml1UiAis1cFOq06iIkx8HKvwmVJAOUCzcxMCzYZoaW/5jTyMRgCPwPbtyQewtfNOxedQH3yvoeLtA1BJ4Ht6jw5jViC9W0f+IROJQxpYo0Qxx14sgVgCsQRiCcQSeAlKQGsW1F771okBsg0/5DeRg4SpNJv5w5grrUFIGeAY++0A5NQIhONB03IKcK1etBFauUo5oPRR8ImBHraHPHy3xNAdEjMHDRRfdwXYtrmsNyACX8UPB1tU2WjxXyVOwfPhqFIGkjidW6n1sVTWvtfvuRXpwXsJcJ+C8+QBGLd9BcZ3Pgvz3/8CGoHvC9tdUsu9jTFoaWOLyP54W157VDQciFKVZGzAo4WL9rzl4tquR6G056VE0ChAVmoAFQgMg3z657YiS+O0jbVZmOdOIZ8HTBPg86BSAQ4PChVn2mpjHx1/ibJuIFjbT4WP/kVrwSBYtf4osRULVm1QMTl4QIWR10cLDp9avwOPJifo5IGy3y6rAtqpgO6NGtR+Up1svgdt2y4nXAzYaubRTYPTmhAEuLvUZgCjFI5N29jnojxW5YTkk5kj5GwRLkJV0UJ3iXa8v988HseZyWelmV0tczKX2WG/o5aStJDDGu8L3Xsy54A14Jnv65V9LxjQnQ8Ra6hrdO7a3UsfU96vhS67LqQcz257yBX6tYDOH4qmaPGGgrm/MSlV3O04fh8q/hDdd4Xib1jhOcpzHEVo83J0i8xvpesyJcCgeVuWiqp97gQiGShiy5t6Oqw/szaAXZUwigJ0CaDR54E3p9XPpCcQ3YMPfkdioXMJhOdFR9a453KR477paYDzeXE1ov+0Q6O+W3WhmThfhbEXSyCWwMlLINZyP3mZxSViCbyQJBCOWJ4HPZ6cLuDN7/t9/MHH/xGf++oP8N3bH8Bf/sNX8dp3/w6+f8dDz4MeLt6FvsvDyVS17ClAnQdk7Zz12QBPfsnFyA4dsxPhbMB7QuISR8KWNmoBwB9YisqwxlyNQHdOJ4Z+AtkocnSec1pmaxh4FwSW8+T/iEGzN6lh2AvAH2Tlepr5cPLFhctTXRygkZA4L3M/VuQOIG1Nwml2IghKEL4DrRwOGJkx/ayuwHXWpmfHQHvysBYD7yycF7CLux5LIJZALIFYAqcuAX7mcukIJOT48VxTzCqWhAzBuLFRAQNNdCUKamHcS843sYHWB1OFb0BoOhhQFs0QePLSSQUGc4WsEbnvGxJTT3MqdKwB2WgaKL4+BN2ZWrzyfGU3mMcniwFJzLOYawZF+NTP9rzIrrYhQg3k9rxTjVeGxVz/Mv4+sL31RLqGoKML1cRGZYc9shcuWvbDF7ZVO46WO5tf4TKyTfub0xNeuIiRkjonqe1QfdXNt5lxUTnLe3JfqCARsIa7x+OpsF4/Y6uCnuxCKrMKebdOYPxjeNPrfbzr7eTe4eONb/Bx9VU+Lr80wE3XFAgQL8Ij0K5Gx/6ptYSyqRpCT7b2nzXaQ8pR398Qfr8nsuMe5Ww1O1V03KzCS9Cgk1JaTRzzViNOYJORdnvX/IUALvpInQB9imwzOpFM5tAQGnzDg+8DVjU45lwiVvUP+MSkWGTDnaKwRXhNROcb05Zyesv8kNtciuP002VTINHSYr6rNqIaWKNnwAC7SpyAxxrwrPnOrAy6/9XEkxx9XrvSwbB7Fp1SrcMWEhb4qb06MjuMedTeywKsuSk4KbvtlcBRdSTpXFIR8mRdgF/SdbQ69mS+SnOe5eVWR3hegjaRaJAPKi9UuNDrv9rHpnd5WGrf7K7w+qm03mqOys/sCOvr3AalnMT02kpPge4c5/kah+aURPdFYR0MnrMSVuQ4zaD66lfTBcPMC9zzUcvdaBxRvWyYm1QYe7EEYgmcvAQcY74d95Ov4fglYo5YArEEfnoSkD+9pue3/Mn/+zVMz5bwr5/8PTz6g3/AQ7d+Cv/x2f+JG66+CB/9o79FrX4WR9Lzu7ZsavM1Ep4uCLj2YHaGmgztBXZ8ywXNrxSpNO2hQsA8D6pyrQ9mVYNwkMYaMoqJvEbPdrBJGNZyTw7dT5T5fy8ZgD+GVdnozgHyEzTQj7j2OL6KNlofT+VEvRq+zmzZZfT0HERq5RRMowbXt9GgySHzSC/sCw8IjZZ2Rmmbi8IlDornu2BbiRHwbrU+BsTlYhdLIJZALIFYArEEXgoSENEHUzXrhHe3HoRv6plB+Nrw9AyQ18Zh6ICb7D6mHtnSwjZEyO/m09CnSorP6wyB4GkCePZ+SSqNRwZpNr3TB2tO8viC7QP76QQKb7kGxddcgdGpcMGdtSSXApJU5W1eJTiMQf97OOx9F9P+jjmwNEAIgGm0ZNDGDo1AME6z3XAOT8ZN7wy52YzDnAb6tvOgDXTCzQ2gfMnb4V15o2ISE4trPPOihJdKQqtUYe0ZVLztnt8yfyJbgHF7HseTEeA+VeAkvO5Q9ipxHE8O7iegfj+hygnFGTRDRQlZrkGZlCGqRnGz/0rokFg18hgmvBpRQeMwoJPWLjZtBLaeG2Cl3AtBYHtZmNjfbSJjJ9G+CWqL00E2z8E8xx/YZYLk84c10TlBbq0enjMry2nw8eExpPABe0ij3BP/s2mjzC13wJgoQKdFHU5HpfkDoAyOpoSBrVYeydaJVjddCBrnakXAC+aN46Oi8K1Q1u0KJhZyJCkTHip0xlWw3NZqCktUv1zRU85LHNGQPKDBGtUQmZNZqN2OE9hY8/0PcpeD5XZ7ZQj/MrvrBEr99FiqtFjIrWfWhaAxxxc6Y1bCHpEwpwUYHEdrMzuCkzJD0yp2TMBzFCbOdB6m+5KLchCCvkxbzFWCYWgQKiuRpBORYlqbghElT/gf2XGvjhwtUhkWYK13uxPIJcWcdnt9wJtjclqmb7hdMwusf1OAldf5WPf6YM5teIuPjeSi83mucCvC92++1/M9nu//LfJPLRBBHYZzGIG04Zm9P7V+xA3HEnihS8Az+17ouxD3P5ZALIFlJPC8Adzvfegp/NzPvhKXXXgOrJad0g1r+vGhX7pZdX/foSEVPt+8dAroP89Q3ZoaDieiKkHe7u+7mD3kwyVAvtwV8hQLTXgu0HNAolEGAtBAhSYj7WZlqCiqAy/jANbkThq8HTt59NIBAg3QK+FE/pDVg017iuierOOppipKAPkqOOkBNHMbMVmljhK5K3kYht0Ajz3zuVCmFYcqch3wQFAB6vt08FZd46nJGccdGiwWL3TANE4bhXDwyvHYxRJ4cUgg3otYArEEYgksLwGt9daZb4Ug5vLcYW4tmFARW4agxOiYQI92BKYFeKmQphhaXqTFLGVKUZpr+yArIUDrZ5IYvksg+rBe13nAFgLbzTTQfUkABmTYPjCbHQgI0a93dyHSvjwZm8sFnwBkap013GeDHTjofROD3g8I4GoqIFTCpNzn/veaQLWlLdp1XgD9iXtVpf76beB94oRTEgiyOY4CjXoYLuLXltNyZ4CazaA0SI78BsEi5Zkkp4ocgBc5VCTyfC+KHRPKA+GKgXvhNWDb6mwzP6gXoJVq4IUPLmDvOEBjttVI2V1Ky70xe4DJxzhzZi/ktESVFgD2dRtIUoi2jW20czIC1zk+52j/5jT52xYW2MSL7elINDW4WoDyOTQIBWBOynmAKJGW/ds7DgLlaQjHhT3WQP4rdyJz+6MwRqax05lWZa9PhB9SFZqGae675kAj2FwvBvBF2K5iPAEvIXoUV90Px7kqsYintU5FPpcWyT4jJGtcqnobZReH3ZKKX584VutfZRzH4wWK/9oZ2uK/pXxobjHmOMV+KtmlQ0K1m2p9/FMlFnjJ/docJVqImyOcZGSipbHUoyXnSvJ5G9DsabrzkKLxokwDs1hsc2jBhu9hGk96iKFiTpEPnOSpiGizu8NYbSqUA6cmWh9L7dgSLKrdzjxeinpMUyu9ItQ1l+gNwAA624WPnE2AfXQuY4mt/6pA5Uw+LdCkOaRK/JQ8q/a0atnVehEIW8VjL5ZALIGTl4Cn9xJW1I2AluR9rePkK4hLPEcJxMVjCZxZCYQjxjPbxgnV3pFJoViqHsO7GO0Ypp8iwZrYCX4VWdMEZg76mCGAnbvD4ZEHPI6imTBpgmKgmqTRFlGmCBR3XR+9QwKmb6MSBJhs2VqnbPX3rSyB7lepeGr/91W4mCdbmlSOY2H79xK4+BYde9vmNMVt70Bpy5thhfN95DqGIGQAQWPFpDWjqqy4CRXyADR5WIdGeLyTDdCunaEYyHM7AvJBg1WqAPEWSyCWQCyBWAKxBF46EpCNgtpuoNFcAAAQAElEQVRZfkaryHG8CPCRBFAbSKHpAJUKkNcmoGsBnEz49hnaNtZilk0X0upAZEJGnwrbbRo2GFDXTCgNyb4r/bmSDFC3mx1gQKZEGCkDkWwXOPoI31yBJSI1fwJ1jCtgvV+8AikxoDibCEEtHUfBL7Q2SeMGjrIGNYcn6qYIOIr6Z4wTyN8gkHrlBvirNoCBKK6nRhhZkMlzFHJycQ13zmzXcrd3hGAc0yM3p+XeMsvC9GrgcTDntGFqjFJOfxf54d/4zudg/tP/AorhmCmktnzqb2RX3t+4DaCFAR8Cgd+ELFeVOaDqRZsUc+a2x5C0Q9vrk6MPKlq7J7wGjNIg5LiOqm4qDfekCMeNio/bp/b8TCdA4LqiLfD8JczKvLEZfqSzlGyi0ePDNwAG/9hU4IIqlkwmdh5CUJ+Em03BXbUWgk5m8/AYst97AAd2heDbpWavKt9tZlATEoF0ERgefF+jBYjWSaI4Qs8YmYH92BEgEOD9D6mhb4uwrjomQsIi/qBbhk9jaL4eOJvPJQ7PpJN16mtrnH1gpkRjeAf8odikIKGeYsNr9QyuSoZajrua08AS9XDb1piEPaItwXHmyPVpgOXLsrbpFFysJX5rgs+rKK/921AR7WTC6O3fJC/eUEGep/AbuC4B6ZUO6hDR+M922jlc6KpBeL9oIrxnlcywjNYQC1lPKG3TfvP+02mnAG+WSXUUMC2BvqwE941tty82f3I6fPD2XBSW2EY838u5/dndp7YP3IfT4YzaHlWNk9iswtiLJRBL4NQlUOr8ORR6PnjqFcQlYwnEEnjeSkA+X3p23ZUX4Cu33KHcocExFEoV/Ojex/Dnn/oSOnMZnLNxzfOlq/P6kR3+IozyOBIpU9H33eHCrQE7v+VCeho5G+m6hgzRdN+Eqwt4XoBiwcHqGZqM0KC9HI7BVPl2rzbwMhzvA6paS9uuNEmjQCqcLAXo2uVhj0OJ1r9EbaMQwNcE8pkhngpSjkBuTsPdA1xHTb7sIUl5mNOAUok2z68NQY4chjZLHW+jx9FYArEEXtwSiPculkAsARAo2ARvgW5zsKjz0UQ9mEA1GMK097jiSYhQW5fttzNhwD7CAZzsAsCdAFUFKjfpGWvm4KwNQbjIhnsdCVXOSAOsIakSbR7TcpsDZWpm+E6J2T3hMz2zjAmItuIqOhPsUGFWbEZC9qBPXoN12s8iJ7ZDCgtZuRHRdsgt4Tcm7sb76z/CF1J7URZtg4+IaZkw0m7vuTiA9sBtivO+DRfh32lgpHUGKq14GGBmxxQGnjlcxEVa7vaOgwR48+DnKNNR7W8C9lvkih/2t1smFD/LOTAN+OlQznJwP9gmuqiVYHz9M8eA7tquRwE6Zj4tEgTdKxH0rARMHUGjoOrjZmoXb4bbmYVWqaKHTgdTaOiZ2QuvPsvZc86c3gtR1BDARsEQ2NdloEdLzOUrUzGc6lnB/qLOX7Ve0XnRRkVa3tWNUPt6VNIY7tFb4RHwTg0pszIM4rbYlgyMkWmgVoOPBsnGRultr8P0z9+IKi0mlBM6dmgVpGs+1vKqD9WSpAWDOu0nRQHDoQUIQWPMhkq2e8kHd8LcOwU5ISEWGGG3EL7V0AjmywmtbQcB0787dR/+b3EnhBkSGRAOY2fON6fkXOWe66v4ZQs+lqqIJ+ldmQwXGCKb8O3Fuc3MTh35hwykd+tI7dVwIsetvY7nGi8eFKoKBn1VZIHHYHi0gMPffuLs59rH6O3fZGvhyShIrhal7Ch83UFOblFpvteqyAKvHoRvR2jBejiBBsdowNWadK5BOZzCZoXTLTSmBHBQwxpTw/kdOjooztU1+nww6M7xdtdux72dfrLx6IOqvPDKi6onW/508LM5Gd0LZdtInHc6qozriCXwkpZAIJPwtfCtxpe0IOKdf95J4IXSITY/Pjw6Cd8Plu3y1EwR7JZlOs2Z4cjlNFd6KtX96vt+Ftdcfh7+6P/8C17/nt/F1W/6dXzov34Sw2OT+OQffxiGrp1KtWe8jLAmsKnz80jlNNg5gdmDPh78jAN3QofwDMCW6F8boHNFAKMJeKatQPd63UNu0IHhJmj6IjDhVRfta20g1HK3xx5bNF8vDil6s9ChQiEENj0e4Cnn6MlWGg0nBNWEQHfiCIQUAB15O1lQZare0QkdE6ptpmQ4PedoUim//1mgWYQ+MQbhzuXEkVgCsQRiCcQSiCXwopeAaL2N5msthK9tjwvBHrDpFXbD/o8x6t+LCsJntC1CMG1sXCApSkiZDRoPdCDQrLYaAFGaAW86EhCaDqcvRHe06RJ4qwRZDmB3HX3GK0KbF5mWYc1LdtxVBuHbWJaM1vwJ1DFOQwQTOXlUc1HCRKfcjnXyZ5AVIeB+Fy3A/8n0w5j0a6jCwReSe/A+43Z8jGhs03vJRtoyGoTjctK0auCPpd6y7hJ8dvXFuL8Z4CEz4CylScoRvzsEjWUxlBHTFrrG5lVobBpQ4HbysVADk3m4pmBgA0exlB14fSqUcdCVUXzsabd9hQPlJB0b4+5bVDzyoo+lRjbmg0yejikNsNwq9NYxY97Sqy6Bl0oCjoHOkRAw93d/DfboY5AtxQmjNAhRlAQkJvHwGpuLzXOypZkfZMNzoj2TgU3WJg4I9PepD9xX0fY2QF+1Vd/9X4L2yB3wx5+C+oAqDQ+zT9JYtb2yReIJkmVQHoJvm/CpDWYJaGGCFxN+9Ip1nMTmsTqSIqxLhYYORxOQooEgEECTBsE4uslyjWRUBKQGOWhAa4Zj0ojDFj2QMNHELJ1dFSzcHmtMKNJBt4gWzg+3JBTtTHqRBrdHJ1WmGu7vpVbPc27yykjD3ZmmOUG4WJTaryP3oIkMge1mC+iPwNznaq4FJ7mphS8q0xG+sEGx+f/kYR08L+A3ZCNwWWuc3uPBgLsPB7P5YXVudIqLVLjUOVILwnOEz6VZP7xnN6yy6rg8xb7xmzedmkTn4wbyewx0GRIWX9odAcpbXNRWeqr+hZ6bphOGiFpZkn/qf27/p63lrjXHIfw63c7WIDYnc+rHMi4ZSyCWQCyBl7oEXvn2j2D7De/H/Q/vmBPFnfc/AaZHBI4zT+Te/L7fB/NE+YwZX/baD+DV7/otvPzmD+PPP/XlKEuFDML/w7/dgut+9kO4/i0fxmvf/TuKfra85/bUP429TNAg/jN/9lv4/N/8V/zhR9+H3/7VdxHQ/iF8/wt/hkvOPzrpO41NnpaqqhUaZCfLsBqzsA0bhmPBGzMhfR1Wn8D21/s4990+tr7dR7oDMOuCgPlw0Jc94qBrWkM9CDDLht0X6RF/QDXQbOjViblJWTub9BqoCqovmkxRZnbCR61l2oaScMfCQR5/MDVt04RSSAgBZFPjnI2itwKeNwW4LjwLqK1dfLCoPX4veBKneOtV6JN1VT72YgnEEogl8NKWQLz3LxUJRG+V+WZ23i6zVvuMvwMccoaJHFJiADmxHSvkNegQIUo1RQBzr3YYJoHJbnYACzc5eECRpEyr0OnPK9MdWrmq0jUnpUKrSwWLegw+RqZlmCG/PYBGwwSOH88VsVuxZMVmBWSpxCLe96qH8eniDmVO4+bURvx3eQXOd7rAuOouAgw/NvuQ0nxfpOgcySP8lR33rTL4OP7k4jfjPzZfDUipeB5Phf12ywDzwbIVHQR8h5HF/erF4ZjR2juktMx5YeBXxn+Mv7VI+FQkAq4pOu8vIzv5PTlFj8Y8DGA3f+7D4FDu3zGniS9Z+314P2AllAkcLnSoKwTcWcNdNFwmKcca88XXXwEGqbtn+tA1lEa1PIjU4TuQf+IfkXv8n2DO7IcsSNR1Czv6LbDWvSrc8kQx7H+QXwkGXxmMZbC8835TaT533mdC0hgzWBUuLMjWucQgaKZkorNYQaVyWNXmFXYhcAoEmkGZEbTGQpmrzAUem47Rh8fhTj1NiwYJeBfRMWrjeTpBgLqm4WU0pLT2DM7lNMysigvDhe9qEOWKSkeeeZgKtBKCwE85rrVSRwMT4bFwglks3Nh2+oXWJErBJCLTIwt5zkSaZc/1VjUXtGd4lb8a7W8icN6puJQ0cEWiTxVlszL2kAZ7SKrjwxrjDObOXO6ANaiZSasIDs6K4+uvOgrwtWp3B8e0yX3hvnIGfyMgMi0ln+M0gRfzuM5IvnyeOkEJlY5Z8D2K8xKihwMstPXPi4c+mtCQQofMYZYmOB7Nt1y9pvg1ulZU5CS9dD/QoUvImkCdVl0mOz0Ur2mieEF4bKJ9X1gt23GnLqjjyfJamH8y6ZUv9xX77B4xtyCpCGfJs5p7VUuOtVqFsRdLIJZALIFYArEETlUCnbkM/vIfvoqAntFL1fHbv/Yu3PblT+Db//qnuHD7Jvza7/0FXC/ELNkSyjf+6WN45PufwR//zi/jn774XTy1i8bnrcr+4jNfwWe/8n188Bd+Bnd/86/xH5/901bOcw1OrLw8Mbazx3XxeZvxjje/Au9/52tx43WXIploTbDOXhdOqqVybQWE7qMj/ThMTUJvTRT7rgAu/UUfvReGA1OeAJ/3Tg+aBjgEsiMwwNuF+xIAsUz7LicXdU4mnJQbxSPz8lkrSnh1TOhZmrwJlWf2hGHjKQ9T4XgMpRbgbqQmYVp1BNJEIHTodh1pmqy4AU2g3Gk6yYHKliX6UZyB/mD4urfXGWpXmY8+rtqMvVgCsQRiCcQSiCXwUpCAcBtqN4MFJmWm/MfhE7hjoxcbtHdglXYT2BRLp9yOpOBnePhsniHcMK9NwDIF3JYJCVVhy2OtZNl0Ia0usBkSBmhZE5izvXQSzRINGCjBYwoKlvyzaZn8OYDQAP4YKU5g4/5XglAjPydD0HqxYl8r78PnSs+oLAbb35reCAbb/2T2Cnw2eBWYxpkMlrHJGY4v5hjEY/rezgCfDDpwJN2JznweH80CVb+BIQKzyiHeqsw3RJrVgsYjXO6AW8R7xn8I1qif8EIQjel+OqFMnXD8uw/ePrcwcI8/DT+TBxo1sJw5n/vIIYOd+lQBEEkgT6An8cyNea5/E1hz3Lvx7eCN6XLXw5BtH0tl+h2zQ7h9wsP9PTkCs6uIAHzOY8f9Kl97PpqaiZnZlTjcWIdG9zYEmq20u0WjAZQt+hsYyupISZ2LHXUToyqenTpfaTwzwGkUhNIqBp0WouGATXr4C+y462UJy3GRnD2ARLUMrZyCXx+DKE3Bl46qM3FIh1wCgLR3HIQ/uwf80qZPYL6/NfzAJxdkoPuR+gS8TBJXFk0kHtvHZOWEngAE0DQd+L6AWaZO4uhmHgz3p7FpFQJpKC134TWOMlDMboGpNYSaykSa+2e1A9hiFbDWKONZhIsR0Tk1x7REhPc195CJjsep3SX2e7GiDJQKGiZ7FjCVrSmWq4MVKjwd3hWJ8E2YhwsT6lhyneXNLgqXOApoZzDXs0I5nm7tcW5rKTdLwC7nWTT810yOzXepvboi1Ad8cB99kg8TZIkcnQAAEABJREFUhCs4OC3OmJWAG8DRqqini4juUUmsVPWXgkMqjLwawgWdtBxAkuY8s54Jjy6UcmpKsfA5oCIn6VldAbKaUKWeqbloDnhqnxXhOJ6b8xWH2hcVOzWP7//81hIvRs4utOV+alWeVCmz9pTid401Koy9WAKxBGIJxBKIJXCqEviN//Q2PP3sAfz43sUtenC9DMr393Zi49qVuPaK8+dhxP/vL70FWzasgm2ZuOHqi9DXk8f9j+zgYpiYmlUA/Ed/5R34+ZtvBNezoocGMyr37Hg0ejk7DS3Wyr5Dw+DVjJlCSdlr55WHpVyjGU4KFqvnp0mb8V5OB7eIzdtvxXlX3oct7/Cw5eccbPkZf+4VV9kowprYgTSNozffGA62IAxIT8Pa8QxNRIBn3XDgvti+NPPh69vW5M552Xo1nIAMoRvJ1iR8NGVCCIE1u3zMzIRtlUY8Vc7qmoKQArVGD5r1NKTmwTRqKLh9qFfuQGHTITitwaAqQJ5L3eIPwA59bTceKb0TdxQ+gsf3b0Hdz0AfmaAJ0tHVI2KP/7EEYgnEEoglEEtgngReTAnZLKrd8aysCtljTcpScFBphPdolzNpUccKvs0m0GcMQsoAXrLnGD4xeAAMnAorB7c/VGPXp1ptdmZQmwqBHgZ9jim8gNB/rY+t7/OhmQsylkjO+ntUTkasU/uiEgs8Btu/XglBVQbWGWxnFkEgJIdWQgPTLrNowEOEXc0Z8hf/sw3kR/p8fGttmeBSgQtLE/jlbhP/UHgQw85hFAg93ZMJxy+1aSDI5lVFcjL8EOK/FXeDtWFYo/43J+8G940BYGY6snUFPry1gi/ligR815GiMRfTd3XYHBxjViZJKxP66AykuQ36gU6k7iRZEOjOttn9DdtUGQab3StuVHHj7u9A2/WIinsXXaPCvt0J3DizDqvMiwhwrxCwHb6VoDJbXnNtH/yLz4EvJDr3aJDP5FBY//Monvt2OMEF8BJdmMwZqBuCQEKjVYoC6ossTUPoOUiZApsVYfN/xfNdKlvE99zbMFyegTVEvN0byAMim+9aRUBMjaLqHIG0V6Hecz40BkJdGlfXJsHa0xrh3OlndRgMaqrSRz3r8Z3wZ/YhSNmITOdEubdWDqMSOFjd0Y1uIwWtUkWk5S7NlGILjAYCX4NecKDVhKIJGtMbY9MqXrnyXAQJjc57AWvfqKJFXlL0qmjNH1dh5BWCUawyJlWygzpf0Jsq7jUCFS7nmVMS2ScNaHVALwkVl/WwX8uV4zyjJR+Xxsq3isNMwjnN1qqQSj03jwF329Nx0+5VcBwfdQKwGyv8eZV6qXAftfKJ9Xle4VNMlFr223Ob5/eFq2OZGEXROifDG4FvhH08UblyPQtdtIjWLWnhhjL1goCLCmb7hmHTwqaESVQgJQdUWMc4fDRVnL16EM6RTFrM4/Qsr5JQpNkyKaM1BKVO/m9XJXRqusm7aAbIbeYITmhzTsOHU6OGui8J2+XFkLNpy11vHAabk/G0DrjWmqg7cRhLIJZALIFYAi8ECRygcdbZdofmj+EWiqmnK4dfe9/PKFzY844dZzD/PQ88hX//xu34+89+Cx/7y8/i9z/889A1jbPmOf4W6NjEDFjrnTOe3BlilU8/cwDv/dCf4j/91p/h2z+4l7POmpNnraVFGhocngDb0ymWqrjlh/fj43/7hSVdvXF0ELVIVSdLOm38E6PnY7p0HqzELHqMH6Jvcxl95+tz9bN9zvwT/4DMkW8hMXQ/Vl0egD94E5Dkdd9CvmxjFYHuIzzxmSs1P9Ls3KQIRmkQDN6rBHlz8Wo4gfR0iZomIVZIygUa93gqrBcCFfYmBiFkgMmRzaiU+4gWIJseoRCoeRkEkiZfKhV6h3/i4c4/a+DRf3XwzOELMeZsRdXPodT0aNCbhKZ3Q2tpvYcl5vti5CBVXJlPjFOxBGIJxBKIJRBL4AUqgejDjoFmze3BVPCYirOJAwMpLLWN0hjXIEBoRWIcgWbDTfXMZ41AVXoUC7tjzn67cMJnuWMm1MdQuRBrOHJ4XHeCmJJP/SoGBDJThWmsJ//YPwPaEdj+K9ntClg/liukRDatH64vPchmkOiRFQEErey/8fDj+H/MBr5bfhasFW+LAqaCOnb1h/VVRyhk7XQK0KiDgfXDbolTuD4Rarhy335z4h58vvQs/rj0OPb2WuhtavjHJzO4TOQV7/6+UOZykg6GooSeoHGNXjMxbOk46JehT3fCTl5zDMDMgLN30bU0wKopx4A8DQBxoF5EtmSoygxzgI6vhqBegDYdLpaojJbHds/vv7AHdUMiGJ1C7lv3wnymDBRSVM7CvpXhOdTT9haFHDqgSuv2WhU2u3xl/s9NNrD/yQfwd7lB/DA7iFmvDmsmBb9lr14O7oe9fwZw6qjLWTrn1qEcONCSfRAIIAtF1M19YCzSINA0+5QONlUTLaAYI9MIjjwAXw/gXHHDnOkc7gQfg+9XD3MU702fi+iDtazlLss1JDUTQQCqX4PvC2SPGMg9bEDWBcxDY6ocf6MgMA00t3SodPKRXSqMPFuEx6uJ2Xlg6mHvIfCm09IQh2OJEgdoHgeEThzS1NsBGi0wsAx5vznOADz3S1WyjGdOSpX7ZGIKe6wCTFqoybbsuKuM5+glhYGPzl6EvGOhaDZRXeMeU2MEZkfH6BiG00ygdS9UW5dLZt2xlad264pYXeOBF4I44Vt04CnCsqXgtPz1AuAGVRS7JpEX2+fqlDBho1elI5Ddp/tZE7PgjQH5Hi2BWd9EM/DQsMJzRdY59+SdTsC/pF0uuD7yJ2Gui1tyOkK5GAXJyWWdpOuE3VJM/AxgsN+lW8fko+IYtibRJx4XCLywzWMYTpGg02IoF3XtLRy80Fzc31gCsQRiCbx0JVCjwc9/PACcbfeDR48r8/e87SaMjE/je3c8uCjv/sMjePiJZ7FrzyFk0kn88xdvBStvtzNXqnX85v/317jk/C1gLXjOG50IlTu6uzrwi+98LS69YAt+70//Ad+5/SecfVbc8Z/4Z7AbLIiHbv001gz04hN/9GvYcce/LOk6MuEEBM+zjQc6h0beisDMQDeGkRy5W/VQeA2kDt+J9Mi3oWUPQ0sPIjX+AzBIvuHlPiRNMn0N0D0d2w934pDnIjIBoypo8wKa2DuZVYrSblZGr4YT2UKxU+U1ElKFlVWmCiee8cDa6S4NKkspgdVJWuGh2U+5OoB6swuSxmepNE3EiLvq54BSGKek+g8+GE7yO/UDWGf/BBe+chLbfkZHzQ3giSQNrFNKg4ondKpAm6c9cBvMr34K+j23tFHjaCyBWAKxBGIJxBJ44UpA0rOdex/oIeDOH0plYEcjoD0yccD5i7nZWYm8Ng5DB9xktwJXgaOccmIEhCpCyrQiOv15FSpTJxSrI0E+oIfZKn66PNZuZ5DKJuAqIUOQs73uXY0ZMKDNtD/IXU4gd6hVyml2EfgXAW5bzU4mIwLFVWKBV64JFEwaD/kNvPHQ4/jK5n7cVR8Ga6MnRQE1og91uMRDeHFJwJ/TcB/BXbURpVm91ejEr2TPA/eJ46xtfWv1ENhUzCWdq/HHo73on6nj4j1F1fpCDfdqy5yfVq7BlxmMWT52BEN4Ih2g2nkl0lPnINo3VQF57hWvgjJNQ3Hv2teRD3SPhIoPnPDNVRBmB3y3Atlmx53zIvfM5i786au7sOecLkWydxyA0dL4ZhMritjmRWZ0tHT4xiNrpXN27e6H8TepUUBIPJIcRLFZhTVGAHfLrAyPxYxDlA8gt2YLnuzU8aELGhhN2kTxyQHak/ejuHmMwF2PxnVQdsPzD5kUarDvvx9+bQJ+Rwd4v1WBlhdpt7Pct1p5NDavokWirjkt92kzCSEATauSDHVoZVeV1OoCkf325roViub3uAgIpGWg3mqzA8+ZfE5y2AwKHICvuaI/BSfQ0KslYNBFUycgdTlckY8hLySwyR2upErgcGmbq+xunwzorlcFF8dtJOu65qJDmlgOFFXMJ+HpkwLnj+dpccTDP699Vh2PhcUjDXe9EvZlYf7pTpcOhjUm6VBpZhiPfIPuaVoDasGmPhDOGTgvug9wnGXP4cm6ahCeLymp0/kDyNkmPK0JftNi4T0qI8KFqApdu9xOwy/QWdFUQLzE0U6zlrunu/CCJtUpmPWknUH7bGYCaOf66L4gOKnybG6Hr12WCdfDhTU6jmlatMg9aKLr7qMu/5Chvs2Qo2uR+dhJr4DIcbp7ES13BtqH7xLY+yWJiUcEZndLZj1tzqzvVXU1zFAZTCViL5ZALIFYArEEnv8SYI3w9fQwP9tuzbHzioXCYqz3V977JvzV//0aHDd8/rfz/MLbb1J48V/98YeVHffenjy++M3b51hq9SY+8od/A9aQ/+uPfZjGnkeffRvXrsSv/sLP4JXXXqLCN910NX5458NzZc905GhPznRLi9SvaRLJhEUDcqFeEfjxfY8dw8WvBfy3//1PYCEek/k8IEwkaBJndaCWv1b1JlG6G0ZxEB1PfR6pwvcJaKeJSjJLg9Ec9OQkOp79AjJ2AxsvBXxdQvM0rJrMwKFJ3x7HV3Us9Bw/ANv5ZHq7WRmtOsEkyGL4artjhYez2RQI1kgw0L7/znAAPNvpoFufgKBfrd6LSpUmyzROTGXCV3KLHl18qjYAFDJQX5sNoIsarsr8C87dtBvd161CzxYNZepn09GgdawnThyj5a7ffcucvXftwDOKJ/ZiCcQSiCUQSyCWwAtZAoLAduHVEWg2OQsOKpjxd6hd6hVXQLYBO4q4wBsZAzrEOAwT8FK9C3IBMTkCSYNMzcoScNmJwDTAmzZd4gDVRlKFiS56eKvY6fMi7fZ8m+ZoVDubdvhU8WmVZDMyDK6qRJsn2EQJpQkDJR9gjdK1egaVwMFSZmUmmwGE56GnPovvrO3D15whVfYjHRcRoL8SVjCLIqF5e/M+6qyg0gLc0ajh4eIhxXt9ol+F3Kc/6LwMH81dhC1mHu/LnIuP5C6CfeNVKv+cQyRD18eBXEal5dB+FVZo7MWRFYUmKmYHRX3crz2Bv+++B492CkzO1JB51JgPqloJuO/5KNw3vh9+32oImheUDjWpLBRQ2tRpfGTS8XWqkK2P3arMNi8ldbDZmKHL1mP2Z65Rx5uzm6t6Ma45HEVkSoMTomVGRybDcZeT85F68Bn8nTGIMVqH6R9YjQPWLJ7RZuBVPZhGCIYZYzRGFSY8mph0uAncuhI4SCL4Yl8NQVAH7DSMWhLykduUxvzsxQ6cbKD2KbVXQhIYDyHReMUbANpv7gs7PieiBZi32RshfKYClavOVRFrzzA6XFPFfd1BIzCIxwPo/NZnXBijfECB5hqSE3GxYom/ygECf54deMqCJXMc0NU2NHfN1ei4PV7rQoLkmJMaaskGanSuuWXFOs/j49PxqAm2eR/oAAPttbXUF+JiAJQ/dnkioLtBQDJ3n8wAABAASURBVCvXtVsWcKc7hEKyibywcLqAb1EjEe/SkJUWftB7BLfLI9h9S4DdBJzu/4YEg6hjD0hM7BAouGH/NQJraTfO6H92j1T1Z9YFKmz3zOkwr9EX9ifKS898gya7dG+khRB5kqZbGFC2y/cgU74PN3r78XJnL7L7xuAHRTSSk8h6FZj1PTAaRyBbAHTKt+nc8VD36R5KtBqbx6K27cCc4+kSAhVfRyVZIjDePaXjxsffKAoIuubSF3ug0y/a5RMOPVrMY+bEIQ0Msufo/mKNSdCtjsnK8Xkq9DHo/kHYxQPo2vcv6Bz9OHITn5pznO6pfQr9/fdCcyYxec8URu+oYt8X6ig86yp5cGVN7i9d65Gs4MwyeVmnueNIlX6k5NzOyHXo7hgCacPje1x7Zhx/4Usg3oNYArEEXtwSMHXgTVeeffcaAj5PQLLvfsurMD1bwpe//eNluXVaONiwph8HjowqvmK5il/9L59AoVjBZ//q95HrSCs6e6v6e5QmvNMaNzHNpbhD41GOnw0XjpTORkvHaeP+h5/GM3sPH8OVJED+69+9C0eGx4/Jez4QvrFxCG5/E9XsywlAT0NaRWT3fham/SSQKMNJrUS562dRy10LXxMwzJ1IDv0EvasDGrAAUmjIVk30jOvYS+Ojhfv0jAN8dNbHt4xVKssoDULQpJ8TWoMmkBQpzKTJBzxdqLBSAcZXayo+e9BXYTI5RX1qwvNN1Ot9aDS7iC6QosErReAGCUQaVJyeeCYst8p8HDzJcl79diZDTwDpPqFAd0fP0v72H9Vyp0mw8Z3PQXv8HlXGz+QBokUTRVVB7MUSiCUQSyCWQCyBF6AEhNtQvfY1S4XT3tEPpSYW0QpXTC2vSc/ymRkGogdh6ICb6G7lHA3k0D6IhgNBwK/X3TGXwdrXnKiZWQ5gZsJnvUqcBq/kHyAAqqm0QRfbj08XdoA1xlmT+a0tDeuFzTIQxbTI3AXHt7W03B9pLD5+O1wjAM/zUdaK+Ofz13IRvJeAcgbPr7cHwGZlZvwGdvYTH+VWRwT87pUYtww84xQQwMaTTg/2O2E+seBSqxd/mL8cNyVD28J+OoHGpgGsr0t0zNYwoQcodfYyK9rfztOmq6jQAgEIpFtbOoRXmQl8esMu7JazOFguIvGEnAe6B7oBb30ILjujPhULMJqp4d4Vo/CkRJDZDLhVAtxrqq2F3hpui4gHnRK8ziyKr78ShddfRYD1NgKOw8FgShrEEf7F4AFAWNDsHqX1bO7ejW9M7cJTGQ+53j78Qc8VuLhjAPemDqJK56lVWQ0eg2k6IezUV2dFBrucGYwlBSZTEt9a5WGM5A49DWmtUPboja99BvKh/0A58wRKG0rw9/8AgdOEu2IlvItDpRK0tk/TOcHRN5XW4eon+tDxsAmNwF/eF5Y323JPHAgVOjRRRRkZZodoVmEfKlPoqEUGPj6cEegW/F4PsHyqpwqrTcs9hQFmQcOfRXTNHXIMHHQzdAbo6KFjygwlAtzZ/AnH252gxSAGMxnE5AUFNiXTnr8Y6C7CQ9DORv0SBOh6+FE6XBh6fXYdjISmeHjfVeQ5ePrTEsIBvG4frC2eqNiYGHbhlqEWnNhW98hTPu6+u4DDRxx41EetfnrvBQu7z/JsTIdUNl8Sxo76FgHFnGr0+RwoJwjcNRu7IWQZhjNEQDLtgMo5vseAbmbqC0iW70VX5QG82t2Pm0ZSMIdcukfVUOx9HP3FJ5Ce/ToyM/+OCIDunvwssvUjgPMs9OlPwa/fQ20fwYrZe+Z4/qDxI7yOgHotOEjzqCnotXGkCt891jHQXHsKDDov7LHRMgXjJgMIUVBgPgP/7HgRgD8myo7T7Hh/Isf1Mc3PDtHiUxUm3Y+0ugefznmW3+wlDmaunkD9gm/C2/hX8Nd/BkHHLtUFObNRhZ7WgcgxQaPFhVXnPAoZlFE5UEFp1yR0AstX9N+DTed+C0bzIHD4QeTHPjknBxz8G+THP0ny+zrs6sNqH7gu7ienO8Y/hY7Jf4ZVeUjJmdNMD4/rHmZF09qMQNgqHnuxBGIJxBKIJRBL4HRIIJmw8ZEPvB33PhQq+bTXOU1APJucYdMy//GD+/BvX78N1115Aaq1Bt7z6x/D+OQM/sfv/BIqtTqGRieVeRouf/H5m8H1fvqz3wZrvz+xcx9u/dEDuOby8zn7rDh5Vlo5xUZcz5v7wmxnLhysn2JVZ7TYFxOHCUzvQKX7DQSi69DTgwhMC83MVsz2/TrqqUtRS19D6XMgNA/J2dvQKXbANEGDJA0iENhyoAO7aaDd3lE2MfPP5XAQ+6zMwMmEoLs5vZcGiw1ydQSajeZsVhVbk3kaW7qHVLxk6qhmBIIgUOluawSadNF0Mmg2s6g3GHAHOjIjKr/o9qow8kae8FS0z3wW7oXXAFkCzxUFSOSFMivjBzqwKjxZtbtvgfH1f4DcvwN+Jo/mzR9AsGqDKiF5oqhiLwov3olYArEEYgnEEngJSiBa7A50EzV/QmncSphY7kOpkZimp4SKrkocgZQBnOxqlZ7nTYxCMuCe7EVzdfhMFoTUs2Nt90bLpIyVD8cF88o+h0QpOKRKp2QIbKpEy2N76LucabC29UfzF7ao8wOXhxkEajI10nDnOIPfHO5sTnNwjBuhIYRDyObeVBMwbbD2/GsJKH+mOYO7a8NYodXgEYh6KOOgQOOlZokasmzc2ZNE4DYJ8NmEZ10Nt9eJfkztRwnViwn8puSmKUIoKdyVC4EiMTmibMETCemCQInGSPv0MVxQd3DT9tfgt/svxufP2YN9VhH7CXS3dofHkPnbnXPEV8nGGg+FLO0LAe7N9DoEjQKBfyWVt9DrobEb03ghg0N2bl+exk8J8FsBnE4KjQOw4gJ/MJXB80DXIWbGsX/vs/hCXw1uRxK/0nkhksLAdelVeCw5hGeCSQI5QWPMLZBaF/wuAt2dIr6UL6FuCviS9tXW8FSKAMOmB9G5RbUjh/crhQnjO5+F+Pofwtt3i6IHr3ivCiOPzQvxOfHa8TX44PB5oEOo2ut40oA1KhHJO9MIS0i4BE768Hk86jnQR8dUhtPfqUL2PCvLAdy14bSE7cArAnmmCBef6hhX11zBA35S61HnpCaADO17VWm4u/AaRKAy7X+NQOlKMcBI0cEjz5Tw+N4iHp6ewl21IVpIqivWhaC7PaQperun0TV80Cth0Crjdcm1eC2dq1yOeaRzbLtMP1FnzErIGYGA1ljKW1zwNxCyhQRmggbYlMuGt/hwry7iG1ufxGyihlnXxWS9AUn7dqJtnApffVLAo1Oa+6CZ82swqM987PmNiEgOzMGgMoc+XU+Ah+zYrTCrTzFpWceAdcfUv0DzC3D1PhxMXILy9KuhTV+HqqZjcNMOaDkLrn0eHAJ8mScCnzlM+Am6JxiYtJOo6gYkdFjIzgHUNUprNK8UdE+pJydp/lWBPT0Ei8D1eY6B5sJ3FeisgGlaAGBgnhcCMsOPEIh9GKb2VURgPwP/7HgRIE3l2HGaXcTDIYPYTLPxr5DGDgj7EWDF5yDW/AnM7J8gXf17VSf3JZJBpX8NHHM9HP9VmF7xuyj0fHDOcXqW0s1Vb0bmXN7PHDq2GNj+5mew9qoDyPQWwJvrmAikPScHGB0Qfh1GYw+SxdtVmx0Tn1Ihp7ltT3agkTgfHHKa6bmJT8MqP8xVUp8WeX6pnNiLJfCilUC8Y7EEYgmcBQm89Q3XYzHc98/+7ou48R0fxZt+4ffw95/9Fv7zB9+B99z8apTKVaXBzlZRbv7l/4ab3vVbyr3jA3+oeptNJ/FXf/wh/OtXvo8LXvVLePev/TFYk/4db75B5Z8NLxzZno2Wlmjjup/9ELbf8H786N7H8Df/9A0V5zS7C1/1y8qo/WtuuBzdnR1L1PDTJWeaJqZpQvz94UnUUxfBSW2EZ3eh2vNaFHp/Eb7WgVowjglxAKX8a+GZOUh7ConDt2HFqiJ8XcCkCePqyTQmPBcMskd79HkC2/1qE9f+sIDGERfNfOsV4dIgZKOo2MrVNA2aAhh6A5dmbsM1qVsVXZsEnrlKqjh7HbkhCJpkFYrhxLPRzCMIaIBv0uRHNlAPOiFKM8w6Z/ddFzV0pUbhXXSNokdeuleEGu510EDxMpog5iEnh5VjsN1hsL27H/7AevDGWnscxi6WQCyBWAKxBGIJvFAloLWeu76ZxUywQ+3G8T6UqpjIm5kFkqKEtNWgcUAH/BbASFnhvzgDWZiGJOBaGAm4XaGSgSyHGtK+aaA8EoJ6dndY5HT4PpqoY5zAKRMZsRbtG2umsz10pn0wex4Y1OV4u/sxgd0fmfHwu51NHNbbc4C1RloR+COoE164H4pAXrMMVAmpH8vUoIkirk+vQaQ9/9XyPtxZH4JHAK0VzKJg1MBmZRozEkHPStzRk6IxSB4JLVQcOOJRhcv8WYva6evC+roG0XCwI2spbkHjlorvqnhvKYWa5mJUG8eml98MWAms1TP4/3ovw47N05igPkxN1pE4pCn+yDMIdCxWaQwlPeTzNtyUjxmDj3EOQqSoPTdinRf2aEmVnnDrKmz3IlrEE43NdHsNICUmK4P4y9UVuNkUfn7FReA3Arj8JblV6G1quDXxLNjkinbeOyC3vR6wLBysH8RTaQcaxVdqKZRM4Jt9FQLLm9BkFt67/zuct3yAxnvXwl+5AVrFRUDHTHZvh10LNfm5DXZfq+zDq8dX4+emNoMBb7aHXh/wqS4gvUeHNZWGRxOclK9jhkBOAR9NXaJm1IFaAdr4IFcDd0V4/FSi5TU2r4SXSlL7VZiHxhVV0qKWjXABigmHnDwtlOjYZuWhIYUEAe6G8FH2Hc4+xtWrHoqE0h8ebuLZ+x0880NP2bc+/G8WPv+tURp7h+cmg8ZsXoYrSB7WINvAbAaWBwtlNAMPpU4H78mcw2y0n4EKn6uGu9kyzeKu8MG6LJfZvUhWTLVPstPDg4khfLzzPuzdNApvQ5X234fTDGihQ6j2z5RX2BvWnGy9ZRKmQt8alyri5HwVRp7hHIFD124hYcLT8nRepJAufhd2+Z6I5ZiQ8xiwFgQEN1KXo9j9fmRmb0Ru+kqqQ+LI5t2orAiQSL0JlY7X03zqZsVT6PngHACtZd4F1xjAZLJPhcK8BKXuo/mfS/0M/lC+HEV9BRp0fXtaD+rJG1Cm+tpdNfsqKLCZ5m/cH8M5rEB5DvWZFPWdbjjJWQTSpr51wDEIFGdnbVbluGxE86iOyPECQUhfjdrWfahvGYKbL6p6qFKwtjqHXL7Q/Ytq/yp9m+FZoONMriI4e57jOaZjrcaKG3LY/P4sel/Vj+bATapsY8v74JjrUKhdhJne35iTE9Z9CDN9v6H2m9vi/eC2OeR0Kf9uFHo/CJYzh+XczWofWRYMvnMHHDucS3I8drEEYgnEEoglEEvgVCXwo6/8BV7+sgvnils037n7m38NpkdEju+JbzfFAAAQAElEQVS44+i3Pr/7+Y/jl971emiaRF9PftFvgHIdUfmXXbYd99/yt/jBF/8PHrr1U/ivv/Fe6JoWZZ/xUJ7xFo7TwEd/5R1qp9mY/TWXn6fiLAR2f/Rb71dG8T/xR79+nFp+etlvOrCWJlXA94anMOkmUeyhgcqK/4RK5pUIhA0HFYz596EQ7MYhbR/KXTfC19MwEvvQGTwBn46ATqPrDA2su0eAyI47T2L30mT00lsFup9Nof+RAAeyG9WOmjP7oVfCiUih1KNoPdl96FlLdeaexUZrBw0OBWZ7NdRyAZpJB12JEQgZoFbrwUO9B/HNgRF4vgWNAPeMNYmK36HqYS8yJ9NvPYlHL7wBD8DCd2u+cp+v+Hg4J1BqevAaATTZCX/rpVwMfiYPBtvR0ob3B8L+yqEDKj/2XgISiHcxlkAsgVgCL1IJCJcAQ9q3QLfQxCx4y8h1HBzXTc8AvdphWhwH3OzAMfxyaD+k6wKJbjh9nWCNdmbSp4ocwOvMIGiqKIwQxw4Tz9Hnj6VyFbwfEiZHlWOAPDIbEpl5URltHo8Lvl71FWVKBPh4dxO3E7iqCOQlCQhlMzQUxcKPp/q0L3sIuKzpLvK0Y+/NhgBmNXDA2tNcpluzwWZlSlYDj/V6qE0CTw+swFAqj1LyHKSEzmyY8QO0Kyso4gLP6c9je0mHVm/iYC6tcgV/pJZiedoHx7MoBgQrEkit36ri7PE+vKFrHe5dMQbWNnYOepBtQKx/yIdL+/xM3ywY+O7REtiXKaNGALMwuqHPhMeP62p3SamrJO+virR5ES3iifqppVZD0NjrL/qHwHbbz+kcAGtZR0X5nDmnawAHrWns9adhFASkq4GGmLijeRi8Xdu5HixXXszY22NiTC9Blqq04JKAv2oD3OveCHP19bC7Xw5j7SugXfBuaA3AapkOYa3wzYezeN34GnTLBCob6Lis9Sh0yREQSY0wWG0EG8GAe53205ECvuYR+EcHvTgIeA6gGXDaNNx5EYuKQnpNNDav5CjMw6FtTk5EdtxN5DDm9YO3tXqWA2gC6MtqKj5TpLpV7Kj30PSESnR0azjn3ARW9djozVpIuiZWjHbgUKGq8tlj0J0XDziefdLgQLnHpydRbTp03jn41a7zFI09z2oB7oto1nP+iTpjUipWtzusj8+7VzVCpZVbxD58urhD5d+c2oif37SBFlR8+E2BYpFkqnKem+fWw3YX1lI6RMIlYnaB/XZegDCnwj6zORRimfvr9d046BZxiyiiLrNw5SaVx2Zi0jNfV8A7m11hjXbWhmdb4ZzHTNX0NeD5U4IWtvK06JGXDRze/CSqfTWs1G6g8/ToPYr5250teqAhNUfi9FyiFXEgUA4SqFs16pcNzz0XzcT5c86xzocTXA4FNvd8EAqYzt2swOlq4q3wgk1o2qswueF9iEDsUtfPQbn8zaocl1VporcvCPAiQkQvES87zud6Im11bo/Le3pvq8eA21rQMGhxb464MEKHaeEbCMyip9kH1DcwwqjyeX7K+81tcfsM8HPIaQbwFVPLaxK4zv0u5n8ObEqmlrpKzW9b2XEQSyCWQCwBIJZBLIHnuQR0TcPAim6weZmz3dVwtHS2W21r7y2vu06p9f/J7/0/+L0P/byKv/str1Lh2994AxiIb2N/3kXXX6DhtSu7VL/+5pkjqIgumlSsVWmfpuRj3r2YaVYxVm2gERSwN9FEPbkC0AN09+1EUpZhBLriH3jWA9tx3+ME4Enshsd99AyrLPQfCDChZ+AmeyC8Ouyxx1RGuRm2nesahCYDCKOE7bknVJ5Jg+H73hbga6/RsVongD4IUK6swo6uJgZTPg4HXTT0DJDKTMLxbbjFmiqnzMkQ7z1bO/CpjVfj85UAt9ZC9wCB7E8maQBIc2yXBvs88fSuvBHuTe+E8wu/jQhsVxUR8M4gPBo1sCaZosVeLIFYArEEYgnEEngBSkA2i6rXDUsniLWpwB+jDeDBMtvomEBem4Bp0fMzeRRMiYrIyRHIGtWZJMC9DYiMNNwbSMBr0tCBABTNjEo99zD6WGoymL8I8OnCDrBpk+vtlWgHdblFGg7gH0q+Ghdw+nUJgZsqGio0BuGxy9ertLgfcA7Amroce7hBYxCOtFx9EtifrkAQUP9Gz0ZShOBm+wdWWfv8UlODJnwcyjYwVg7wYIeNyczl6HaAV9gSFxiENFGdQ26rQYov9mdt6vMrBljD/WBfKH85OUwAdh3bR8rwDBM1AoWT63uOKc4gevdKG/d0jWDEq4KBWOECBgFgtRmXQEUPoiW+bi2Bp7PTaBo6tNQWoEg7ekyNAGvPM5m1/zlsd7zfnE4KnQNIOjcgLMjEAIGsTeyxC/BNA4uZ+OFjNaPV8JQYVmXZqzQncEe6ioAmG6/NbEC3TMCGhmpCxy3dkxCeB3PcY1ak734S9o4DqFg6/uVV6/C/t+zBl6x9uGdoBDv2T6PnqQSunepHn5VEdTvt+0BYjguz3fHi+S547UIa3TjXvwx16PDoEDmGA98XCFrKIo0NoYlELNh4UYuPFZO11seCOd4htiAlVqNPvgyHnNBMz1otAwMhwLrSkOCt2KATgyMAOOCFozEC1AWdHl0rDVz8ChvXvi2BV/58EpsGEsyCHw4elRUTais98D5orYWGR+jcfWwsBO3P6cmjRwvLMa+XooopopVpJyk8lT+PozVqi3YGXj6sj+vJFsJ2nqExOqcZbOe3QKyuAJ0yAcPRCHDngpx76q4yLLD73zTs/4YEx6OaOB7dc+zOiBqGelmCr4GF5mREUCcQe4YWpwQeshKo+A5csRUM1gbShtnYg2T5XrDZlfTs18EmVthWOOdVMzeinr5WLe4kDksYooKnNjyEqd4p9GnXqPstjrMlxdHrN4HeedwpGV5PVZpzOYka3cM9tQ8Rk6SFtI6HTeQeNdS1zXQFTNubweA0yueA+9ns0TjrtDvWVuf2Flbc7PIVyaQ5nYqchGfS84LZ/cby52c7wM/8iznXWoMyLRTUMi9fLDumxRKIJRBL4CUjAVZaeMnsbLyjz1kC8jnXcJoqOP/c9cikk7j7gafw/TseOsY5rneaWjq91fRcFOA1K7uRNwzMOA5uHZqca+Bg40k8UxrFQRqI33rwPBypCDQxi12dK2gwn0XXyqfR17lXTdZAW+ewD7bj/jkCuLOTAS64Jxxk6TZl0r+824ebXU0xQK+Gg//CpKnSqcQ0aPSIgEDwDT2PIylKyE9IFC0bqaCEDr0ACAPDzQE0tVCWlYCQcwRIJigPNC90V8yZk0nIWTy7JQ9IqSa0PKFmd6UlUOgGpoSHwAsgS5JKAt45FytelWj3ekJNJDEx3E6N47EEXooSiPc5lkAsgRewBCSjT9T/uqyRDxA0o8LjeeUKUCHXpw9C1wJ4tHC+sIzYtxPCcQlU7UEEODKPVg7bKgdZTiJBYJuKnAaP7dD7aCogKyF75mqMbHSnaMwQaZ5HmaxJ/j8LPp50AuSlwIczEm8gsPPdBR3vquhICoEf130wD/NuNWkcQYV3NmbIP/rfpVVRIxA20yjjjTQ2inLaAXe2b87lbcyiYDXwRIeDbxYNuHoCG2pV8JhksyHAG/eHw6Uca1OnNAMbaM2k4jRwsC/c3/zIIN7xZBEFU8e+jhq2p/oWrYKBzvsGxjCmV8EmZJKHdZjTEjNeAw/nx7He7lDlGEjfnyrC0SRkcg0C34U2TY2q3PkeA99MYVCYw8jVAkLzKREBhGJwP3S9G8LO4pCYpjGjizWpPMnaIK75/1UdPVhf0/H91LOYdsM3Mv7DPIiy5uPc7AqwFv46I4MeLQFuZ1ePoyqwDhaRuf1RWHuHEBCY/9T529A/vgavfXY1tk3nMTCeQu6AgWzJQIKAenmZRAQEqgpanpPzwWZZfAPodhNIwgbh7CgmNASBQKCFgHKQD8eGrWLwrVB+skGyay046SQ3/n4B8+hUU598GRyqL1qkWBuhicSwPp8iHyg1QtmpBHnfrx5GtmkTeKvBXAAarxgwYQoNGDPAoDpaG2u519aG9ViHNHxpYg82VrJgUzxWXmtxhYGb9lVEbzuHFeEkPLMFpPo9wbxSiYqp0oVsFe/NnAs+B5mgEVnrFByFQ/eVcjM8hopwCl75SFhXnaYRh24VGHtAqsW9iN6x7thKI3Myze5w/yMOo75Hgez7RA51zUXBbxKoLcBgbbHz56DMtaQuB5sucazNdC33KVfoej/4e1dcjzEt0QimsXPgCTzbNYzAvwIGwuOL42wpMaA4JEwk2u5pTEzKEHAveRk4Zh2BcBAdNz4GuccMaA3mBFK79TDS5hsFoVJOx/x9VsQz6EXtcfu8KHAyTZmZ8Jyq0bE9mXIxbyyBWAKxBGIJLC6BA24RvzD+Q3xg/MdQ3zlaML5dpFRMeolLQD5f9v/Jnfvw8pt/Ax/83T/HR//ob49x1Vo4cXi+9HdhP/7fc0Mg/K7xGXzh4Ag+te9hPFt9GjVP4tD0+Sg1kvjBwS2YbZhoajoOd3RB6A76+5+GKQNUrCbskg9/PADPr6+8xVNNrL5Sw/rrw4Gft8dDvXubokfeTHWliqY7hwEaV7meDd2s4eLkfcgzjk4DxHXOKCzdRaORw4i0gXDMiMPoBE8dOjqGwJtXqEGZkwkCVHtHUc31gQH1yw9oSD6oQbtHR/FuDcPDAuMdEo4fwKv70JaZaHgbwv5q+3dyE7GLJRBLIJZALIFYAi9ICbD2LXfc0VpgnMxx8rhuZloQYNREjzVOgKMNNxWCvXMF2+y3I9sNtyszl6W1tHxrZlbRzEzrAa5Sz82rivDZnxVH7fGyOZNPFZ9WFd+c3oikMFScPQbQP1n0wSZcGGz/jawEA97CDfv06rqGD2UFOI95mHetngEDywyeR0Ap13WnWYCgscbVkyNIJDuYpNxD9XEVMtjPEQaHV+tNNGgM86PVDUxaeaQdH//5J99Agpod0MgjxsHwkFBs6b+zohO9DQnZaOLpLI2FiPUt9z2CDj+PppQY7Whgu70AlSWe6P/W9AZ8av1OjPk1yEHAG/Thwsd4vg4GspkvKXUFNO7MlgEhII1uam/xzvVoCfA26c0f3/KbBUyPZC9LM5CyC4Fh4YAI5bMmGS5kMF+7Y3v1r9NWgrXcbzf2qaz7NBofUuwt3aGpnK2EPNtSg4cAB7N1TBkBjFkf5uExBHYS49uuQmqqE2vqaazW01hlpbE6SGPATqPvnBQ6LrbAoDRVueif81w6hWUgYfs91ApgyQJ8V4OvkSw0A1J0LVo2Ijp9Yb4+VYpIKjzExv8pxucUy0drnZ9b9BCQrfseWuti4HP5rtowVpfS0IUAWuAjFVf/dD/QJxPIFpK4tXJY0SKPzaSwm67W8arh1big2oVuzUYEfkZ8gQ6wE7Rb7CL6yYRmy5yM3xnMFVO72RQ4J9WB/95/GfjNhblMimS7BFxfKC33H8/QyUi0k/sfORIrUQAAEABJREFU5S4cDOO5zQE0E5iiy3/vlyRmd4f09Oqj/WIK76c5JTmKRp+nwsgzmkdQp6tiv8xjxmjSMXAh6yR7YvD0XtSTl6GSeSXYdAmbVCl2vx/sWLubWMJ/qUpXlYNDXeO4o7KSAHwtpJ+AnxQDSGAFOuX5S3LbIoemXYNHi2GC7l0JWlTJ7NRpYQBgc0LR2w1Mb6/EKIT73GxpnLfnLRef9p9APZhcjmXZPD6/nI7wGBg0p1uWeUEmXb6K4paFCmMvlkAsgVgCsQSemwT+rRg+HHmsxt85+tjsQ3Pge/s497m1Epd+MUkgHD08D/bo/37hO9i6eS3+/e/+m+rNN/7pY7jvP/4Wr7ruErzymovRkUkp+vPV67QMRKZlnipMYCD3DAwhsTV1MX7znPNUXs2x8K09GwnkTmE60YNqUqBrYCfS+iwE/VwZYPVOD+c84CJFczU7J9B7qYYDs+FhmjkQgDXjvNbEm2VRqWWgywayqQlKSlSdPkA4WNe1A7xd9ZiG14yNUO0BavUeTCXqFOccoOjkVMS0Kyosev1Q5mQoNTkgUagasA4IPPmUwOFBgTGa58mSAFcwlgYqTgBlVsYhGhbfgp5wQQATI4szxNRYArEEYgmwBGIXS+B5LgHZCDWVa2YIfphBxwn1eGxcIK+NwzAAN9mNQLPmlWu33+7mM2AN44gh0nCvlagwEfV02DZFn9PfRxMlP0TacvIo4M7AI4PjbHu9HeRjMzIMoDOQzmZcfo8W3bvCocm8fqwiAJzzItB90AP445bMFGmvT3g13OFMQgYCWwoN6PpatXA/XamD204RiMpgf1TmUktCkx4G01XAF3jvvgexqjKlTNVtDsWCIY/GOMcRTXNNL86v6BC1Jnb0huMfy2lCZAmIJhC43E2dxdLb9YkBZJMGvtNzCFN+HUW/CdZmX9l1dHy6Viekmap4JkvjKhFAM1ZAm5kPGlO2+ve0Xl+c8Gi/FAVzH/BkQFmRaDEGjRr0xBpKChzQZwAaW65JdmKpbcvKtSrrs/nH8a3z9uIQlekJLJyT6VX0qI9pkvOM1cBoktFiDcJaBaf3akzRAhEzZtab8G+g8d3LBHJpE12+BbNbg5aQnL2s8+mYGcImHhuOJsg5yqSMTzLxcyvmQFhiUH9fD68J4TVU2uvOqtA8QgNPFQu9Q14oy+ickghPAJvqzWZ0gnp9HKmG8uRzmSfEnbUENCEQJOefIGyaJSUN9E10qO8GTNB5ibZtck0dR1DGeaU8+vQknGwABj/bWFTUTYX16uXjy0UVaPMEid4oUt90wGvTcG9MkdyJL9+lY52epdj8f3IFtUkLGoajY4RfoZmffcIpXpxwab7BQPvK6wOsf4uP5ArqSzN0TE+tpLbaamSwnfu9mDzYZEyZgOz9shNNy1PHo1Zz2kovH+V6/XpdLcz8BB0E2Ovo0ZLLF1qQ269dj6zYuIAKRNfUjC/hWHUE1BgD2MnDmuKtrvFQ2eCisoUOClGYHi0WGDQPI3Z4dJoudg4Q+6L/cf9BzAbP0iLdA4vmH4846T9KZe9DBPKbrYWO45WL8hNdYaxZmn8MQ2rsxxKIJRBLIJbAyUiAF/J3OdOqyEdzF4FNvfGzhccaDL5/YuZxlRd7JyGBlwCrfL7s494DQ7j59ddj+znrVJc8z0MHgey/+M7X4Uf3PobxyVlFfz57r1nZjfMzSVzevwcDSUnxjdhkb1dd5rw8zbaLjomnxs5HoOVRSXQisB1s7NqDmVRd8a15JsCmJ8OB0YXvNHD3gxoOTWlwdYEkDZhm+ANd2VWKt1LNgN8YTiSnaMLqIqBR4ODwjfA8Hb25QazU9iKgucsK6wiEFChXVqJkNGmQqYpjCGlIBOjoCLVjhibWwKVZNZuTGVufQq0msKIgccH5Aa6+ysdrbgzw6kt9VXgqJ1FyPLhVX02UFXERL+heCT+ThyzNILbjvoiAYlIsgVgCsQRiCbwgJCAbIdhXt0Jg1pT5E+r3FI3Ne7QjMM0AXqr3mDIMuKPpQhIY73V3zOWzOQ12gWmg2kwqun1iTSre5bxScAg+ge42emkcYCpWBhzZBAcn3pqaD1h9puRjxg8woAm8Jy2RCPFAZoXW0mD17UClOW+1pqLYSwvzW42w0w+3tNdZ69gLTKQaGl7mbEGaxh5sNzn/kIn//fTL8BfPXIObnhxAvmljZ3Mar02uhY2CqtBECW8lsJ0TgoA5DjfR+IjD42m5O/1dOL9sQCNZT6RsNIMAaX01HCuDGb2BDdkcV7Os+0juIvyw9wh+nBwGm5O5pe8wthnzwe9umcC+TAk1XaO6khCNJoXH/pmPqRNenQPlqkEI9qkEeerc4DCxgepxsM+cpgUZjUBIm6iL//Od3bhy1lT8n58Mv+lzTfeGOeatZng8pBDw6JDtyNVQS9sI+i/GIUIVJ4wafnj+IJIbDFWGj2uzpdVrLKJhq1XEsQC6LaDBhO1n4JEYrKCOekD16T6CTBd0KkNNIdqiRSjhhrJy+kKZapPFiEWFh9wwvVbPqrTWMjXiU2Upixoi6nCtQj7A53KiYqPXT0DSeRuYtLMqJ/Q0E8jSqlFGGOiayODrlX1hRsv/qrMPd3YNI035KaHDW6Ah32IDy4fjLAcOT8aZLQDVTVLfSDxR2SaB4BxPdLN/rLOJzmdKwjFgVjXwx2yP5To+pXQw5LFCccNMA+ve4GPt6wIkeoDeK6hfIcucb41qKr7QnIz0CvC9GmYCgWGZxqV2D+q0UFYKHKU9rgodx5OzDs1KXDTSDdTo3GH2pNQ5OG3ORA6e7al2AvJBW6X18V+Kwsn5aPSFc530s2Hbeuu8d7pDOvMdzxWCPSgHoYAJykfJP3C8IvPy2eRXMdiLSjCIqc7w3DRoTjaP6TgJPseZxSm13bCZELtYArEEYgnEEjhpCfBCPhdipZRLrV68Nb0Rn+y5Dn+Quxw8pmOlkXYTdcy70LHCxkJanH5xS0A+X3bP88JBjK5pWNXfg937QxC4M5dVXRwcGVfh880b9u5Au7tp0y5c2OWhy+xAj3b5vO7+p80DKn37cA2+sx6FxAoI3cdA326aQFVRTNRhhnMNbL5JxzODGmZmVBFU05qKsMmX2sorVHysuF6FmY5R6MJHrdmN2cIWNNwcdKuKLalwotWdGISQAUrlVRhJ1SBa465KYFP5gHhrYC35mp+jNJBfX8TOrvXQXeCcZB2XrzuCbTTYW+feh63N7+NXpm6FYRdRcwMaXAtox/kYD2I77oi3WAKxBGIJPAcJxEWfBxKQXkP1oqY7KjSQxIlsM7MEXGmDsEwBN0FI2YJCbHJNNBzI9ADcPCFerXxjZEbF3HwGTllFYXcHYeQ5+hV/SNWQkuG4hBOfLuwgcMfB65JrEZlIYfrXqwH20vOetdb/n4ycB7Zz/mJusxEONPYw4G52KpbDbgmsHcRAqIME3jyZwda6QYsQOlhL+KBWUnwZ30CPk8AHD2zDISrTo9k4T6sgUZvAZaUiEh09ik9Mjqhwtd5qy/VVeinPTyewOknjnMDHoYSNclcP7NRmzNoWdqYmsVbLLFV0jt6jJXB9YiU+t/YZ/MnmR1FPu2iXFTMyz/7ELMoaDaJ8DcbM4v3qof1ifp6gcciu6lMZivRoCfIBSfsoZBbSTEHUSzhgV+FbBiLQXDEt8Hg/r7dWKGqjXEHak3htco1KRx5PFk0hkZUG9qdLKKUNjIg6vt1zEP+wdRfe0bMpYlVhfWW4D4lDukqz5q81JpF70ETuUQP5hwwVT+3XoUBk3SLAXSIVpODRoDPjF7An0wc3bcLp71N1tGuE+1ZW0bRmQYVOf16FxtiUCiMv+hbAwv33gibytqHY9paL4AlvJXDQV0xBo/aRIKA/7LriiTy7K0CfnkR2NolH6hNzbxjw4hNrq/2QFldWplKKvdHjqXChx+cu07TjjYWZaYFTsiLaQvC60dptKx/KnVjm/W26pFzaXSOQ6Kkm8b3q4Xn5J5qojgrFmlkXqDDyWKt9/Zt95M+ZTxcuoFfDMo0F5mRYu70OD0/LHpxr5nCd3YdpswG2495+rKM2FguD1iKanu5CpXUtJMUiB26xwsehpSQJjHhqgUtLQTlUM7O0GORi9hIH9YH5x7a6xoNnAUZRoDF6ANWZfQTNB2h2Ln48qNp5fwcVzPjhm8Y2elXedLBThSfi+WhiPHhwjnXS3KH6w/I3ZuUc/XgRfouDeeq06Mth7GIJxBKIJRBL4NQlwONXLr1QKYXHgW9Nh4oNESjPfAsdj4H/cOrovX1hfpx+cUrgxJ/ax+z/6SUMrOjGzt2hJsDVl5+Hv/uXb+JH9zyKT3/u26qhLRtWq/D55tUxjnbXxCx46xVXzGmNcZrdyqSFK7qzHMUX9tVQtvMQlo9sxxi2unWM5EoQlJtbK1HJ6dj5DGCaAI/1J7s1ygGmD3jwqNzseb+AceMaRevuoIE2FSxXV8NxshgbD4H+rT2PokcOImUVgUBgsroOJaupynBDE24HBRK61UDGmkS0HbpiE3jM+4rKI/hZ7e+QfeYryOz5NpJDP0GmuBMXN/diY+oJlJs+3EYA7Ti2Af2BjapqOXRAhbEXSyCWQCyBWAKxBF5oEhBeHU2dei01aEgd84ynnGP+0zQkaNJjt8uYgKSFbye7YCzTMhmieQLCSBAY2TVXhzE2reLVTBc8qkMzAXaK+Bw8H001bpEwkRFrwVv7h1Jvbk0amP7jeoAf130kCbT8QEagSzJ1vpONMB1p+nJqUwtwP+IBDB6zGRMGQD8x8wRKjoucm8JrSjYMSeOdLS5GLq7if57zKH7nvPtRvcoDg12rvTRePb4ah2i14R2JVUhXhvGGI5sRZPLcBERpRoWb+JhQbI9D3hJ/e1BTQLDb3wXWcpdNB3e/5R04uPFquFJgJFMFT5hwAhu/QpwUBqasmgLfFxZRpmJ0HU8naVwlAkg3BM+P4WuZypig8V+UN+FVVVTVQTFRnIau98O3EhjDJPjjpwkrScfDoNyl/xf3rkNvk8aNtLjwhkIKdkc49oxKrDMyKtqt2bi3cxSf69yNj268DwwwfzB73jH1OzkffEw0OtbZJw0FsKd36+A00wM6Bhy3hyTYHrY9Ep4oht8DOnWgE5i/o38F9t6cg5elflHrWkWQv/g/MA24nWGfjZHWdUAAerQ40UP95pKaoIuCIvwBzITUKQbsqZYQTXgv9UJwX1iLt8WmWUwhsXa6E3x+7mqGbfHiE1fGi0/VSz2UznXhLqHh7rVMyhxvLMz1tTtB4LXR0liO3iCI8ustkzL2setzEQtErw+D+t5LgDsvTO1qhtfDHMMJRMojoVzs/AkwE4s5JcH9XsycjNE4jLLv0MJNGhdZ+5DQ7kbS8NEMPDRBNwIqf7y/OzuhWESa0G4VO31eUmiqMj7Olszh4HmP4siVexAdP5XZ8vheVmt9ODd1KIFkMQtXqyH6SG6LbdGA9hhj3u8dmJYAABAASURBVL3qDaK0WIeV2g10p6XzHhVM+yEIv2jBNuIMgfMe8dvoVc8ajk937Vcc5rRU4Yl4/Lxgx7zNMvunw8V1xBKIJRBL4KUnAR4n8/MjReO/xcaLW81OsJb7Lmd6bvF+oZR4bDLjH32rcWF+nH5xSuDEn9pneP/f9sYbsLIvnGj+6i/8DKq1Oj70B3+Fb33/XvzWB9+JdGrxCcsZ7tZxq18pX4GFbkC7CQnZs2jZ1/R3I2/QRK1uY9wJMJPtVnyX6pM42DcJ09LQf53AE08JRb/sEh8r+gKUUxJNU6AyDtRnA3jJLlSL4eHr6BhWvLVGD/Q0MDl1MVykYWcKuNi6A1J3aOCXxBSSim8gYalwSk/Cd0zC4gNYyZKi2TmBI/1AtSrwxuIDyHQUgFQFooNQg64yRM8ENq7cjXP1QxjpCPuIlr1PVcEinr8q1MQXg+FgcRGWmBRLIJZALIFYArEETk0CZ6GUbBRVKyV6FnPEFjkOlnXlCvDEEwJJUULaqsMzOwg4DUHEqCBrt8MlUDaxAgwy+umjYx1rz6BiK5vh2Mig57siPEdv1t+jasjIdWrRgDVuPlV8WtFuTm+k/hoqPugF+F4tUPHXJgTYPrtKnIC3SgPVI8BmaKZ8YBtNRLgYT0Rc38TNEzlkPQ9+lwaHwNxDhAbxRIY1r21bB9tRTggdrx5fhdFKBZcmevEnj9+E3rEMom/DMBjNdQ7oggMML4LpCRcKAE4d0FSoYTXW1zXIhoOxRhXrKxlV1urUVXgiXo+WwNszm7BCS+HVyQULKFQBT7gowKHEJAcwZ0kYKjbfY7CbKRNejYPF3cQoNH0lhG5hP0Iw+Nx07+K8bVSHFhZumDHQ4UrcILrVuYW2basZIqxJmjgmTR3f7TuEGbOO92bOxWITSS4aAZBGZF6jg8amtFgye0UT0y9rgjWF2TSHkw0QSDomgQ/Ns7gokn4B9Up4bjtUjonaAo1wvj6YHl1rXmd4bLSWDXw+Rzh/rZ6hc8vgKCQj/RTzgyZSGQk+Z5yGDz7PUrRv19bDNziCpTTFwyE41pZCeXytvB88qY7K35zeAG6i2UMnMbWz2N83AkXmc01FTtDTy3IOvGaAt70YrTGp5HLXvKC5ATNtLIX3orvqQ5w8YUeXHNwyoJkAa7SfSEFrCXMyXFZ3jqDiOwgSOlYZHgK4SCZDYGG20mCWZR2bUDErNgTdlbwOHUcXV8LzBqdx02nBNJA+amJsyVrZrEytsw6jQQIirnqqpM4Fii77nyGwvIlZBZR3y4vAW7e8mAOUgoNwCEhXiSW8BmZR8HeDty7tInSKbRzFZD68b+uzQqVP1LM6Q063dHLlwlKxH0sglkAsgVgCLIGvVULTXq9Z8MYg57HjseE2KxxLLDRRx/k81luMznmxe+4SqNWbGB6dhO8Hz72y01yDPM31nXJ1+Y40Nq5bqcr3dufw46/9Jb7ymT/CT275O/ziu16n6M9HzxY9WOgs5LBUXzstA68d6ILr6xgue5i2OiAMH6v7n8ZAownHt/DgfSZYI27bucA5/RN4hftpXFDfh6FuiSAIwHbcuf7yaHhCWZlpGqACt2d87EgMo1JZg0pzJXTDxeaB3bBsD7VaF8ZpUsDDrYGUhYQWHvqJIEtlA2RShORTpf0XathRBTY0jmBtxyD0jikEXQb8jiSCFIHzZhIaVbJJHMKw5lN/A/jVAMtNNIJuOq5WQtlxB2vzUTvxP5ZALIFYArEEYgm8UCQgvIbqaj3ED2EgBLmwyLaXxuTf/6HE178pcWRQoFc7DEMH3GwI/rUXkUP7IBwHbL/dWdFCRohBmy4ist9eSYd0Nn9BWc/5XwxC4CYZhP25qzYCBrcY7I5MjzDO/plSgCqNOV5hS7zCpgf/Ei0Ld/G8lVpYYIgWFNjWZZgCttQ6cGMxAcspoWLtVORHmuEYJAKCHQLh5apwnHLhri4FCjIja/rDtDkKFGdVyFr3AzQw4b7yR1oVkTxZF8g+aSjN9hbuS+BZHq8rX4HOqo6h8RJBgj72mVNYl176eFJVx/xfnViNP+++BllpHpMXaY/vSxVUnnBMdSxVos3jyRknWfYcsovsuSvQnsZLsjQN3V5NWQLjchqBpqFHT1B6+T8v3Lyr2YfP7ehArp/GYAvYIzkzsBxNENuP/wJ2lWQAsj5AIOUqDzOXOyhe4IBpKpM81hRm0xzFCx0UzptCQCC76WcpB9BlHY6jwUcTzMfE42mER9eDMRLaV5n7YGpr8YbrMESaAzhBFZolYEODzpr9ROVJsUmLDhSFaH1fgOPtzu4EGHBeVc+io5pQ18FfFMKPnnH5pDDa2ReNR/ujL6Oxv1hBc1oqskPnuoq0PAbC+TxnBRruW4t8TGB20vg7AHqbSdiejrtqw+AJ/TGMSxCqw2FGsp8qCaPL+oIWr4yiUDwLzcnojcMQfp3OUR09dhNpYSq+TDK8b+4pF1R6Oa/hjdP1aUPqSSxcgFiu3Inm9WhJxcpvlFgIr3cnqGC5bXR9CHwzz1Tn8d/SrQZDiMDyFdo1kAjlYIsepMQAPFQQfaya61zMTXnh+dcht4D7mZHr6axOodwxgYZWUt8/kHRvW6zsYjTNCo9vk+7ni+XHtNMrgbi2WAIvJQkIt073pKUXLl8ssmDFFB4v8f68LjXfRB/TIsdvQHJ8sefxpwvhG0785hzzxC6UwCvf/hFsv+H9uP/hUD5MvfP+J8B0jrPjOPNE7s3v+30wD+ex+9B//SQue+0H8Op3/RZefvOH8eef+jKTlfvGrXer+qOyUfjRP/o7lX82vHC0dzZaOk4bX7nlDnztO3fNcemahm1b1iGTDgdIcxkvgsgV3R24ktxsPYlhrQOObRMoXsbLzIPwPEAbE+jrBa7cOoaOZ76EdHoQ21MPYDon1N4PP+HDrQH1AmCZJSSSZdSFjsfMftzZT0TiGhy6EYHUkcpNQdJRLpY3YjrRRCCA9KMZXPHIAEBjsAnkoBGtIzcEQt5R3i4xUwOuqe1ANl2Gb6RRTV+Dcu5mlPLvRqnrncQnkNeKqHeW0PACuDSe1svUCJbe/IH1KpPBBRWJvVgCsQRiCcQSiCXwPJNAyT9AIHMLiWrrm9YoqlTD1FRoIImF265nBL5GIPt9P5EYI/zYNIGNGwJcc84Reo7TszLZu7AI2NSa1nQhKM/PHK3TGJ1RvM01vXDL9JCmlNVF3sn/55VgLVIGPSUBQQnZo/IerlNnKdY+iWAzMqydvkkXuDkpKHfpvzkpoVUkjBmJ1H4diUOacte2NLufdAJEAC9oe9vYJggC8huNp+CnQ0DzoVYfthmEgBIP/5trfcwYDTg1X9Vnt7JqciVnQ5ZCGXGCQXcO91JbHDIgxWC7TiAog+0MDrMGNsf7ZRd+efIKXDqeA68V7DdnsDV17LHhek7FJUW4TyWjQWO6ScBzYRS1RavqlglFj4DSWuCqNNub1nY9AgiLzo1+iEYd++wigoSJNYzE4vhb5WXbUDtvA+pbj50cch/X6hlVydV2P96V3ozf6Qy1cBVxCa+ywUV1vYfjAaJeimQQeDB8CzKwoPlNVWOzGSDSCOdjo4gtz7fC/kTXmtMfnvDG6LTiOOSG1+BS+y+MAGlpwHBpdYtKqPO5TBH6By2zLxQ95h9pAL+hsVHl8ZsWrB2vyivK8b05O+50vh2fO+SwxsJxs9vS+A+pQGMqvN4SXUFEWjRMElDeIBbNldhcyymeXS2TOCpxHC+y357sPw5jK9ucovkBLTwWsw5Y679FVoFOYHnd9zCbSoBfAjJFStENo6bCkXKF7quOii/leTPh/AVpY27hILo+lipzqnRTdKiiTcxiqY3vk9PWMxhZ/yxcy8F09xHUg4ml2OEQmD7uP6Tyu+TFCixXiZbXKUNt99lgh+JtkecFhWAP6hiHhhTyItRsZ4bOVnw2e4STMFpvmajEcbzo/G62niPHYY+zYwnEEoglcEISYEWUjqf/DR07/h2yGT6fT6jgC5Dp1sph1WtWTODxk0os4vVoCfB3fjirXZt94ZtznB+7oxLozGXwl//wVQQ0NzhKnR/77V97F2778ifw7X/9U1y4fRN+7ff+Ai4Dp8R2zsY1+MY/fQyPfP8z+OPf+WX80xe/i6d2hZY1Xn39Zfju5z8+z12wbSO68uGYk4qf8b884y2cYAOb1q/CocEX/wpZJI7zc2mUmimwLdNKOq3I12b2wDIKSNO85IJkAdk934Se2AcjNYkNPY8R2O0pvtmDPkrjvop30ODLlg4KSKDgpyBonD6cqqJcWgvf7EAgwjLF8hqUjCZ0T6JvPIV03YDd1FGlcjzxHd5Qh/wgsDclgFoT18jHIHUPjfR21NPXomlvhmOtVk4aJmyqK8iWwR9O9WjELxuqO0t68+24L8kWZ8QSiCUQSyCWQCyBn4oEpv0dmAgewqh/DxwCT9o7Idy6SlaTmgpt2avCdu/wEYFKBWrB/OqrfNz8sz6ueVmALgwqNi8ZAtwqQZ5kM2uNGiRBM8JIwOlrIcqUZx4cJR9gLd9IM9EMhwqKfqpeEaHGZlZsVlWw1s5ht6TiESheIxDvznB38Z60VHlLefaQBmtc0mQL0IsC9pBE8rCm3DUHDPzCXgt6C3j/YPY8/HJxG7Y2ujCj+RgMjiDI5hW4xlreDHJutfKItqSh48cbh+HChzwI6KwxQJmeSEDYOWheHskDgEXA5dVlDR1NiSMNAVkXSrNdo3EJA+zFCxwwQMyayIVLaIDVKdHnJLG91A0PAYZTZawxszhd21ojPFAHs0l4DTr2BDxbI2LR6nlyxhmTXihwBns5nRQa+PzQdFpcyFDfarN4Ok2S0HWsNSjNTMdxbm8e1cvPgRoY4thtrZFRxCG3gjel1sOEptKnwwtMnSZOFT5ysIMeSCtAsllAqeKDjwMDtoHjo+wcwpT/OB2F4Jhm/XSCeJPq7QB+4yP6YGr7/gthqHI+mtAsoIM8y9Hx6uQa6BUDuiMhNQE/eWz9qiB5DFxTgLVTR6+/m9MbsdykmvnbHZ9fnNbo3OPweM6YlerNUJaDs4iGO5c3M4ufM5wXOb3PV9Gb9XCxgE3iKMIJeJH99hQB9yfADn8mwBGvjC/Ye45hN2p7MKP7KJs2MiKJHn8bAs8noLqsFkE6HQu7mkcXyLBg44VAvU4yAZ03BLgvyD7tSUlnu4lwkYIXWbHIxuA6n1fVlQ2MXjECz2zQosH4IpwhiTXXmT+FAXSI8P4a5oS+gRTJZh14m6VnDYftjsvOtOi9Yv53wCIt92LnKNygRvc8rb3osvFEuG6FRrhutSxvnBlL4MxKIK79xSQBe/RRaM2i2iWtHoYq8SL0vl89rPbqranwWasSS3ivTa5VOdGYhRPt5miSIhy3MD12oQR+4z+9DU8/ewA/vvexkLCI30mgfH9vJzauXYlrrzgfyYQ9x/X//tJbsGXDKtiWiRuuvgh9PXnc/0ioMZ9OJbCcG88YAAAQAElEQVR2Vd+cKxTLeHLnPrz3ba+ZK3+mI/JMN3Ci9b/jTTdgeraEux948kSLvKD5NnckMVPLokYD0rHESviElCf1ANn1h9DXVcDK0a9ClzSoNQUC3YadrGGrtw9DPeEh2/09lyYzATo6hgCaR0wiOycPBtyrhQ7UzAtUXkATt0ajG1N2A+myCVvTYGgSVl3HQZoICSq5NhjGqGnh4WqAS8s7scKYhjBsOAmarFF+9A+EjcDogSQgvy+zH2WaMLlNQRMbGbEsGgbdoQqNmBhZNP94RDE5DO3xe6E9cvQtiOOVifNjCcQSiCUQSyCWwIlIgMF21jyMeOv+eBRVofCaoPVqOIaEJLDGIPAEbdvoqECk1f6aV/vYRGNyk8bUrAGkNQsINBtuaj7gLiZHVA3SCuluV0al2ZSM3rJb3Vzbh1pL49U6jsarKryM56OJSkBjBuLJyRAQYrvYDPK2a+2wdns1CMDa7ZHmOBU55i9cKGBdeAK+AbB5keoaD5GzE8DassQrnzWQetLAq6qr8LbJDah6Ab6WraKvNgqfxgaPNCbA26V2KAeOR87MSPywdxDlwMFGGrusMTXknzaQ6fwlpLJvRmKvh/RuHVfuMfHhnRbe+IilPujJYDtrHUdge1QfA5zF8xqYwUEI2sciMWazy49fcJJbNJmqJBIo1J8CAh/2ER/aItrPPTS+4+onvCoHYHMXHMmMDEIO74durUJgJVBxJjBuevAtA5FmOvM9F7fVyKviu05CK1oVWODtIiD1ezQZ/XzpWXxs+mH8/tT9ePfMj2lfSiRjoTTcQedH0ikoszK8mFVKjqGBaZRLu1EIdqNGY1DfCsexPy7vxwfGf4y/mH0c+zoAOl3QnJxBtCgT7b8+XUTXl+8juTbgwYFmBHRtAr9gnYv3Z85VmuKEtUPQ2JqPO5bY0uHwFOnZJH6j40K8LrkOr02uWYI7JDfLAuOPCvhemOZzjWMa0Tk8ntMLQrHwNaMibV5jKkxYS9idD3ND388HKrKt1AXWBmcZ3VUbUrTlvGYZcMmxyRr76DrDckXQmAx39gFrHO1tiKAO1nAfTUqU6UCvkFuR+9I3YBzcR4tlZWSkrkzePNwYx1JbVQwhWchDpzmGm/IJ2KabCzGnqCwFp+XfTfdgrmjCq3GACBSfDnaq9EIv+tZFSg4ggfDexCD8Qr4oXQoOqmhWbFHhYl5Obldk5m1gFuy4Tgb9R737wPdoG71IyLA9tG2dYhsqHTN0pleUhjvff9uyl4zyMeZMpxSecxyPXSyBWAKxBJ6LBPhbK4nR0PwV18NjXQ5fjI6103mcvFApZKl95TEKj6mj5zE/L9kcDZc/mTfnlqr/udJnnUGcbVdwhpftdk9XDr/2vp8Ba7l7hI0uxnzPA0/h379xO/7+s9/Cx/7ys/j9D/882CLKQl5W4B6bmAFrvS/M4/QnPvMVvOtnXok1A8cqTnH+mXCnd5bxHHr4v/7m38EfSv3g735iUTs7hVLlOdT+/CuaoInjukyX6ljB5MlUJwyh4boL78Ylm76MbN9ummQ4qCdZs3wlTSQ8bJN7cHBleMjKY4Eqm8xOQVB00O9GS/kLI+lQVoX6xTTB74dr92Km2o2S1URXMQGdqtDVtASo+kmKBeiQZRyqNTBcBS5q7kXWrsIzO9FInKfaaffcxBpIGret0EcwSRPJgGZDwVQ7x7Fxf9UGgCaNkoDzhXbcWYtL7noEcv9OpdGl0oP7IXc9DP22r8D4l4/D/MJfQb/7P6Df911FO7aFFw8l3pNYArEEYgnEEjh7EmgH21NiQDVcxfzBIWvx1GzCToWEjiQWboNDQpE20aNORVqeURxUMTdJz2jNUvHIk/t2EOpFIKGRRUDovJ9OqCx9qqS0elnj3YUxB4yZaZV9yt4cgET7KGGqeiLb6ZHd8Xbt9tcnhOJZymOgm0GfgABNL+0T4O6htvaoY23ygwMuGhrgzQj10VLm303A6AHdRb5eAywbkUmbCABub49pP+w9giN6GbYh0GVImI5AAAnPHUGDACgGLUW3h5IZEBgVoEmDITcVYCHYHtXrdWYxmh3Hn/fchU/nH0KXsKKs0xbyhAumhQN2Dc7EHRC+j8wO45j6GSRlYmS7nd844HTvSHj+ySydUK6PMTEN0Lm31iYEGqdnizTFDzqlU66QwcuPzTyEz5Wewa3VQ+BJ5SG3RAs7Xbi7LwuXFjV0PwPQMTe8BtymjiPed1BMHaJj6CJRyam2a5hQYVkIfM6dBE9uGaD9cmYGO9wp3HngCZW/Rqe6VAxI/mQX9AYlak2qy4GZEZQAmi1gsVmm04sGq5oBeDYNlFXusV60kMUawFfYfXhPZmnANCo9fKfA5GMCM8+EbXrpsP6FZnIi/oWhMSsVqdnpq7Ddq7cW2OzuduricdkbtuuPCbw1TecKsfHiBwXL/kuHwn4nT1C7XaPFolKzibr0MJwoo12TXmuOY8xsYAYaSoGFvhELYmYcdtGD2xiiu6VAZ9NCu7bfws6xdniimqEaLDgdAc1NXMUSLV6pxGn2Iq1xDxUw4N1evQ/aV4QLBBmxFrYIAfA60TivnZfjrKHP9Ui6ry4GljMPOwMpZESo5T7k/QDshn1anAoeAtctqXyPdjkW27i/vi0JdJ+k66oGnRYzF+NbSIvOb4euh4V5cTqWQCyB548EXkg9Se//PoRXR9l3MEkhA/AvpP4bpUGkDtxOg/pjn8Ht+6FVJpF+4h+xoVYAf9elPW+5+PWJfpXNz0p2nOCxxZl8pnEbx3OOX8ee8h1n3R2o3ne8ruE9b7sJI+PT+N4dDy7Ku//wCB5+4lns2nMIbHL8n794K/YdCsfKUYFKtY7f/P/+GpecvwWsBR/Ro/BuAu0fevwZfOA9b4pIZyUMR3xnpanlG3ndK67Eb//qu5Z0/IrA8jW88HIv6lylOl2UkzhUuAQBTSC12iCyPXuhZ6so1Vfj0ODb4CS3QNKROs98BgcGBNrtG3V2DIPmJzjo96qQKxxNEWpOkelpAusTq1F3V2G4NdHvK7cm9FSf3dBxKOhCQBXo0kGpWoCsN3CF8TQkofL1zEWUZ1NN8/+uNQBBpNX6GAYzFKF/0GAKRZb5+93hzUeyVh9/DIwAdQbTjW98BgYD69/5LFSc0+xu+yo0BuJLM/AzeXhbL1Uh0xiIX6apOCuWQCyBWAJHJUCgT2LofuiV0aO0OBZLgCTQDrb3iMvRKUM7u7VggnKP/oVbR83w6ZmowxIhSHg0F9i7H0iKErbaj4AnIh1Pfx5dD/4FMnu+rdi8VK8K57xGDXJqBLLZhEgPgE3HRHnmkXEVdfo7EYEkRlqRlvQC+PDA6OPiLD6aiD6WmsVRQDECWy81w/61a7dvJoB78doABgzNKQnWHI5AQ46383N6cLWHT26r465+T/EWieHLuQaSJM90SkPV1BGZtLnMDvtALAhaGi4RKPyX655AMe9hsEEu7WJm1eOoFL+FWvA4yltclLa5uOWCBv74ohruv7iBwiWOao/rYvdUM8CgF3BUuVUdPRjXyhjWi+gOwsUHlXGaPDWpkpKAZRvO7INAZQYaHR57SJvXQrTQEcmg4rsqP/3sE9C0bmiZdZANB/vsAjySVWQGRjE9R48XBVLCAGthTbS0fhdUedxk9Jo1a3O9N3Mu/iB/Of5b/mVIa1vxZC4NXwBa0AFPCqScAuqVcAwq7QwsdKK7uEm1UfPH4VlZ/IdloEZnclSftXIFLXBJ9E5UFF8kL3vHIRhj09BcAToL4dP5jQVbY4raFoDUgWC+2OdxanT47U7AawL16XlZiyaYj8F5zpx6WnCACNCX9TCtiIt4GgHX6d06jKJQ56dLC1UL2U70mudyIhGe0w71+/rEAHgBhxc8+K0Dzl/KsWw4LxkOyzm6rJOzAvXAw9PZadUGnzNRG4F7GBMGneJCx47GALoeCifWdtGH447BhItsYKrzLCrT3ljNp3utG8BspCF0A2yeZ8KrKpboDRCVeI7enPkmnxb6WnWx1jhHF2q5l4JDTIaNXjq/TOU4zsRmUOBgnqthXKUzMgTTVWIJLye3U30kMMo3kVNtMAifE9vRJ66BQaA8lti4v6504KACPpeWYJtH5vObHZ+37OZlxolYArEEYgmcpATMmX1gwDrQbHyvow/DXgWOEz6jT7Kqnwq7oMX/zO7/gD3xJMzZA8v2wRx7mMbps7isMIaT0U6Pnsf8rGTHYxqmLdvYWciUQkPOWHXWXVY//mCjI5PCr7z3Tfir//s1Gju4x0jjF95+Ez7xR7+Gv/rjDys77r09eXzxm7Ro0uKs1Zv4yB/+DVhD/q8/9mFommzlhAHTP/HpL+GXf+71YJMzIfXs+PN7cnbaXLSVV113Cd7/ztcu6SwzHJwsWvgFStyaT6HUSKFCE8sxmYNLwDchQkCiDK9zDfYdfi9GnqQb2YGLAd1EZ3IMq8QQSimh9liXDSSzkwTASxzxunDR4yuw9kgHAQKAMiszIlDsej+GnV8Em5PhUl2sokeldYLMdVei6lscgyZ9dDRn8bKZx5GniV2gJ9FIXECcx/5dc4AGi8AGDGLMrocMLY2cMLG472/YrjK0u/4D1r9+nED2r0K2g+kbtsEf2HDUUdq58W1o/tyH4bz/d+He+HY4N38AsBIKiI9BdyXOl5gX724sgZOXQOrIXUgO/QT2yCMnXzgu8aKVwLS/A5EZmR5xOTJyPQykwCCIjyYBTAQEIdyE20DNAj1fBUyRD4ktn83JEG6OazPfw5rKHbAmd0KvhmXdZA8a3dtQW3FZizsMJJtXY9BdEsik6XBaH4jkXONQ+D0bd0UX6pNMAexlzMkwYHXYu5XGAbeCgZiwxHyfASTeJxu9SLTMFbA2NWskM+i61kwTeA1EttuX024XLpAi0JBbYPMxDKxzfDFQ83xDoKEFuH+Fg+krm3hkexMz0kN/uQL0rMCiJm0GJ/CfH92DYqWGCBQeM2o4vLqECdfHTClAkA2PgZwc5qaV22yoALupvTAW+t+t+fhM2cdXqcmQApzTuQoZV2B9CZjNmhH5tIURMDzWmaWTxoFXeBqgvjPg3g7KJkXY6QhorwUu1o1NoreeQjL3s0CCxnT1YRxINBEQGL1Wz562PnJFa/QMB3OLHipxgh6fP3fVQvm/N3sO2AwLfwdAE2nkNQv8xgFohKmhAx4NQNMygOGswWrtDUinN0MTJhJeL3hrYhYjwsMX7PBYsJ1Uru+X1l2FLakeXNRI4m3BSrwhuQ5scin5+B5Em3RkGDWbKvTDAHUal5rUriQRM4irMpfwouurQuPmJVjmyLN7BCLgks2yVKmMlwqBb50A9TnGVoSB0dR+HbkHTeQeNWCNhf11k3Qe6y2mVtCk85Hr1tMAg6Qt8pKB3+FDaIBN43leLNhm5RXvXfXlzcpEGu4nbL990odLyxpWXkekSf+18j7V1rh2BA3h47CfRbeTB5tC4gyzHa2aOwAAEABJREFU4xwOUMc4UtCRb9p4pDGuaO0em5NJFXLQhQ2WSXvemY7zPV+j3nmooF3LveKH8suL7XNdsGROxSsI81Si5ZWCgyqWDAZUuJxnUHvrtLdgg/YOrNJuwkrtBvTIK9AptyO6N2OJjfvbzDcQ0NFwa4UluI4lG+mQ1qBrIozFfiyBWAKxBE5eAoLA6uShO1TBiZWX4nFdqrjXPPH7kSpw0t7pK5DeF2rnc43mzF4OlnTl2fA5dxmNV6Lx2pLMCzKiZyWTeUzD4U/bacLA5vQNZ91tSF1zQrv+7re8SpkY//K3f7wsv65p2LCmHweOhIp0xXIVv/pfPoFCsYLP/tXvI9eRPqb89+54ELv3D+IX3/W6Y/LONCG8Ss50K3H9i0qgJ0EgupGBHwQYy7gYLK1GExm4yRUo97wd2Qt6VLnBx9bCC2yYdgOXOc/iQL8kkD1AKjEFXXfgQUOp1Itc2cbFIz0wPIlD2TIiDZzGjMSUXUOuaMP2NQQ5Ktd/BDrxTSAB4ZmqnQEaoL/cewQJzYGf6IJrrVH0hZ6ndwC6BdtoIpGaBNtx9+r+cbUtgkjDvTSjqmSNdectHzgKpr/hFxSgzqC6cpT2t16GoHul4lceTbKbMeiuRBF7sQRiCRxfAkZxEPxhH+Y0C4c5iF0sATBIvRBsj8SSFAMqWgqOar7IZhF1OwAIvTODnMqPvGeeBXq1QaxOHQFr/FTW3IDiuW/H1BUfQeG896C84TXwzVTErkIxtF+FUg8BMj+VCNPlGjQaOAamQSB8J/j5zRkMwHG40PGiwUjwYxoHVAgOa2LYCydCC/kiACknN89lRdqmDLryROJEtduTh3VoDYDNttQHPAh3rspjIqv0kLTXDUh2wLigkOCitZUxApATiEzaMFDLnHXPx20TswgE8Fi5ziREeUckoZFEUYBqJpRbwTmqrbq5NfE7wm0RH/8ZbL+V7eRQYh8B3hSov9Ofxyd2JPB+3pf0/GOjGJ6j162Fx3MiaSMwNXiNAwi8cSU3/qhsVH23ZqvohBfuB5tSuWjEQTb7M0C2D2wuxxEHccD2AALce1r8qtBp8CLZRufCyVR5a+WwMv3Cmlu8MBKVfcoJYw069oGUEH4GrOme9Suw3NUwCHCMNLuNgoBNi0Cg7e+0CfKBl+s5tH88N8h3oEOaeGejFwzkJx/fBwbdvVRS8et0LnJEmGHDbpNT5FoLLEELDCfKkv/kCj4vgerIkixzGaWDQsW1cOiM2Rb2z9cDZzDALutCAesRyG4PSXXsPQvqmBbPd1G8MOwvl4lcbSqMJZZZYAs5Qp8Xu0QigKQuOVMSN6c2qgxeCInOKUVo85plwCMZadR/u7MtY4koX9/lYthXv8vHVrMTvEjHi3UzlYdQDei+5/u4o7YSF+zaqWrxN2yDuOBVKu6ICXQGGvKOiZ2LfC+g5B+EWU/QTCYJL9M6DgGd71Sa26HgjP47xTZVf6Tl7qACXiSQMGFJmu+oXCCF8LlQ88dblDCo+RPq/sv8xwPMwxLPzc9mzlcVOJVxcF9V4jie0ZIrH/fjsMbZsQRiCcQSWFICyaGfqA+lOplVmO49H9O6rXi9+qwKn+8ezwnNFojOfdVpjsjhYo7N5FRbD+XVlenFWJalsUb7ej2Lq+1+tI9pli30Es/kD6F+5ANvx70PPX2MJKZnS8rkzP7DI/iPH9yHf/v6bbjuygtQrTXwnl//GMYnZ/A/fueXUKnVMTQ6qXijSppNB3/+qS/h13/xLch3ZCLyWQvlWWspbmhRCfRaIajeyE7h2dGLUfE7UMq/VYHduS1AV8uE+sTYuRAywEXBXhzY5Ku6kvkR6MLHhJ+DXk5THEjQ5KajYGMyUVMD6jrdH5qlAJN2HamygYQm4V94H+TFD8AUHmowaLAc3iyvauzAOmMEkniq2aVXojy9F9LIQFL5dGKclbbgewIaTTCwzOav2gD3qpvg3Pg2NN73u0pjnWnLFFk0i4H7dtBde+C2RfliYiyB54ME7LEn0PXgX8IoHTnj3YkbmC8B4TWQ2v/9OaLw6hBEmyPEkZesBGaCHWrfc2I7WGtQJchLHbgNKw6GedUgBACJDEEonqODgGA5D4ShMRymxpu43Po+0oT/VQeuQn3FxXCyq7jYko6/VcKZutXHARgA5oh5OARzmmtamr/0/Fb0dAhEcZydg4oC16NFgw65hQCrlAJ+GIRnnsgxIBQBSEkRgkacF4GskSmXO+tMBZbTbjdmJRg8ZM7qBo8Dko1QoccLEip21EtQ1oBGHpH2EGZ3hMBR4QXobsyqxfQIgNtmdBIH8MBkAVUC3Tkx3aACFGGAjwI8aYSycQgwHM9n8bcbOvHB1QG+XAoRz3ZwnzH2drA9KcI+DIZdJhDcwNOv3IrPXTF/8YTbOR0uAqAP5tPwLBOoTcINhlTV1hiBry1N6B4toWj8yjEDpCtrabxt+mpAmGissVBZVwN/HPRAwoOva4gAcpymbRuBp1xVdBw4fiKOtdsjczILNbd2O+G5WrIkDJK3DDrg0GJIyptCuRzmBTpdS+RAW7KSRyVwaUw5Az7Nf7kR8lCW+kfXBpuQkbQgZe8IF8KqV56r8vVmeGxlhlBkorDWeZPOEelIGs8KOtbz6yOWY/6RvXSnFNZ1DEOLwIBldRRgsHr1jWG95RGhcnmfOJLapyP/kAE2HaM1QMf/KMg+e0VTmUCaGAtQnw7LcZnINUphzMwcmxfmLOKHlw7cIwJ8Pl2fCJVUvl7ZtwgzUGrZb8+sDfu/KFMbUS9L1BwX+1NFrLc7VBuX2j1Y6ZcxXfme4nw66IRD+3rVrlBb0LvwWlof6oVIsdlKIFUtIeUZYHM3fJ6rQuTxvclHE5liHyT93JRPVKDih9d+QrROEkV97h6b3OFa2vvA938NKXXvZC13XgBgnoxcRz0yOaqcKULwvYlZcJ/R2moI70vM3yKd0cBPCRgiBZvmfUstsC7sgNU6R1rY0cLsOB1LIJZALIHjSkCrTswpMNUGXgY2hVdn7Qgas70QTMoImv9Fc0JWjAk0Wy0eMLC+2M6bM/sII3NVVkoa4P1XiZPwPtZ1FX694/yTKHFqrC+mUm99w/XozGWO2aU/+7sv4sZ3fBRv+oXfw99/9lv4zx98B95z86tRKleVLfdDg2O4+Zf/G256128p944P/OFcHV+/9W7iq+G9b331HO1sRuTZbCxu61gJ9LcAdyNdwXhxDX70yK/BSZwzx9ixORx8TkxdDiklNukH0UzWseO1FVS374eg8fKhoBvpigFb05CgCVn3VBJsx70hffDrsbUpgbLpIle0YVJZLVMDFUPCpNExtTQR5GlQGWCVPoqcXQTsDFxjDeUs/fescNK+KrMfJceDSxMkWRRLF2jleJe/Ev7Wy4BsqJ3WIp900A666w/eBrnr4ZOuIy4QS+BsSMCc3k3NBMjsvgVLPdSJIf6fAQlEmhiemQU7bkKvHAVROR27l4YErImn5wbLDKowAK0RyJKTm+cEwJov9sRTyEwOwa7VFQDTQKi14/kFuFoATWbpeWki2vbtE1iHR9FpF+CnuxXYjuNtbEpmeD/gBoSr0rlJSD1rtHMx8yCheRRxVnSSD/DzmyN2N/uhY5CKgZZoH1bIa9AlLkJnS1OTQXgHlZCZ/GhxISuO7iuR8VA9BIrWahn8pOHTxCKgMYbAZkNw9jFO0qJ6cr+m6PUBH07OV/HjeVta9Q0R0H6YxgqgEciqygwCyyZgLZzMdOvhwv/Ts+W56oaqDRWPwOvBlob7g+kh/HF1F+7sTSHwPex2CoqvHdz/fNlHpNn+8ylB+6VYME19CGPAs10SR/J6lDytYVKG9VYSSQSGBm9mL+TIs6iu8VQ7mbYPqEb7V5l28JvPbkKKgGLHmkDpAhP6VAljZoCSLZEilDcpDFX+dHlrjbSqioHQahCCnIpwHK9du71dc4sXOvg4c3GHulqTAjKwIPzwmmm0wHHQ5rY0z1PNXoy5VXSbTbyp0US2Hh5PYlF/d0WXCvWRKaTvelLF69vXo7m2T8W1Vp1BW//ZdIZOp7HQAxzPnAxXYtPlRuIlEBxgUJ1pi7nIZjsDmPzBUZ3ExwA/g9jRh1ONAjVMhfnjn+UtLiKQ3WldL2MPSAzfI3D4hyEfsc79IxNSVv7Eri0uKBIBB/ArYX2vTa5V6Z2NGbqmjz2mjSmVDSsUa5hYxtdoDsGmjkbSVUTH+h1WBr/iPAJfc1EVWTzmdOHcI0PIOT78lRvgr9qgajRzG1E3p+DTMV3fSChatFDDCTYnw2GqEnaGZcZpbo9DBjk4PNMuundOBztRCg6q5haah5EwYaNX5dWDCRWytxQ/550JF+iARiee5tkwyhoWLrAu1qbJK1mU0ZgmL/7HEoglEEvgFCSQOnSHKlVfcQlYqWTCq6NUbEK4Hrz6jMp7Pnv8trPWLMLJrFJjdSczoLprFBdXiPMro3DhwxQaOQmtQRgZ4u10S+BHX/kLvPxlF85Va5kG7v7mX4PpEZHjO+74F0Tuu5//OH7pXa+Hpklljz2it4dcR1T+XT/zSjx066eQoflWRDuboTybjcVtHSuBrJGFISRkZwH8+i1riLQP9qNJQHF2LXxpI21VsbExiMdX5tFlT6kKGTDXPQmdJjaaAHrLCQQUTiXoRnhQYLbhoql76C4mIDrHodPgXFC+7foIAJS9NE2IfKq7Akv44I+0LmVOhtjV37cHQFWg0x7DLA3+mBjMnyMx6Yw6Bt2d696g2tAeuF2FsRdL4ExIwBp/Cja5U6lbr06qYoIGJtldX4lBdyWNM+8p8HT0UdVQZcNr4CXDt4lORUNBVRJ7L1gJ2KOPIX3gh7To9W0aOjfBoArvTCcB1BIhEMjpxND9HCiXnQ0H1myKRXgNVC16WgoNtsip/MgbGWpii/EYkgkQmHpDRF42VPbbiUPTOiA0He6KPKUANpOhz4Qqrgwm8liAwTzQ1sJF4aCCseBetRhgoxds/zcpBogDSlOfP77HCQbkOXSIv45xSJhoX1yoBg5YqzpFAC6DaN+tMTdwpRWG7b5GQB5r67LWrk5xNotRXePOsUgvjAYEboax+f6m1hhhjxNgivG/IMDKYgVBT7/qA3OzZu7eUhXskjSAZtoILXpwGGl1Myj8jXOfwlfXPo3xeh1rm5Kzcbg2oUL2InD/SWqL0z9PYPtVlkS0iLD3aLfB5luYp0cLwX6Ony4XgegHu3NwrnsdQOM8/9kfo5EdB8tPo7UENjfSeb+J333yYvzvp1+GgR1JdJddFGo/QWl1OKDSR6ew33YRWAYiOeA0bgzgR309xK8OnGDdEWi6ULv9yeZRoDigMWnNEHCEoPMvi2wwBX4jBK1txvBx+2Hgi7f2gC2WdGoe3tTgE6TF0ArcroyKsaY/a7nz4lT1otB0CmdIR3Cgrm3CIVW8OirUW58agf4MUCricTyLQHdmaRDAzOFirtrSZu+5mO4HxIhfPUAAABAASURBVNB7cbi/bFam0e0RCBEokzEzlzsoXuCoOLHN/ccfFZhqvSnN1zan5zIpstgCG5GX/QedYR/ErABr9vPxZDM/fH0/3FpUa6+AFwc4faIa7rWJ8JhYrcUp6RWwofBN9NM5PWOkcBAaZmlR5ZqDw+A5iL9xO7TpEvTRGZhGD9ysDd+QeNlEHbxFC30+mmBtcukaSDS7wMdJLY4UZ9C1fzcE3SeSdM/lMs/JUX3aPbdCPn4PerSEqmqSxmMq0vIycj00pNR91aN7pqT7ZUKGY4YWiwpsEdIqQfi2Ci9+LsevCp0Bz0uB5msdMBoWFi6wLtac2XpjwmuIxbJjWiyBWAKxBJaVgPAaMEqDCGi8xG9yMvORyhQa4eMHjlNl0vPW8dyPlbC4g7WBl3GAZj4cR7AmuyIs8OpTzyjKY/l1KuT9V5HYe4FJ4Kff3XC28tPvx0u2BxZySOs2EnBRzDpwhIeFg32LJgGOk0Wptg6a7uPKYAdqNYE+TBFQDhzxepAr2DCkgGYCXa6FfNFGZMedzcnYdR1pHs3maAWyNfnVaQoE2g4jDzPwkRQOpGmhkZyvBUcsx/yb9iaAxm0bxRBGsuHEwy8RAWd3Y215P5OHLM0gekX/7PYgbu3FLgEeZKQP3oYUOY6fzP5KWg0XNLHjAQp/PFFrFpHZ8+0TqoLLpvd/H7nH/5HcP6Hj6c+D06nDd4IBRNkMgbkTquwlxiRoYBi9NhhpYripcKLMx+AlJo6X9O7ydRQNsvnY1ya+DQZIbPSCQZZIOLxAw4NpvlY9M4uumSaEW0c1GKKwAbbfHhDApAtCOlqFyhWgf+YOWLIBuXITgW3Lm5FpFYM8ENo5ljKtSG5Xhwr1qZIC3Z2+TjCoWJ8Mn6kMIvKznZkmvIcUsJgR6xTYbuBof0BbThLYRTTeR9Z8ZECLyLSv6+iJTwMETpCLgDgGcRkIn/ED5GkMweA0Zau/NSaRfdJAru1Dj80uH0UCEnk4oZjIEy0Qu51G5Ln/gC5UnEHwSlPAanrIYwrldEbRGfTnyENTBQ5wfV8eDLqzaRm26c5EBhA5fCQ3zAHebZ+Dj49pSLkBKs0aHSdH0SNwn03I/G6HRLQ/A4wEEscR4qfgrPyj/Rq97Bp4F1yFwG/C/MLforoiXCDQGqBzCzACDbwNahVUJ2/HTOUn8LZeyiQYI9OYMH34uo4eLaFop9uLzMoc70ObUbt31YbAixV8THixJqJzuKd1LrD8AwhUadd8CgNhIhlMo1JhLmDXMwLffirAM7O0CFMKUBjtwSojAd2gUnT/DrlCn68Fpy/UgGZK9aLN6vrguJdOQnMlQMfVC5pMUq5Cp4lJ57Ok8a7Hi2WKuryX6A7zyyNhuNCvDNP+jEKNs+3uQGUnQ+stykxLVQZgu+ys1a6AY8Vx1JvdDUw+JhQhMhc5syMEyRWRvOpkWG+0wEak4/5Zs16zgIQQOPANCQbxr9HCjn2tvH9eeQbkeSGP7ydmePuZl78wIesCtaqHOq2qWXkNDLZnpr4A4deRyGzHsJFBke4dqaEyto5PA1YCweqt6Lj1AXI/QfawD4dubz7dA87fP4GtVB8vBKhzyB9S97JssY/OEAH+YCq/rWp8/TO49PYf4JLd8/u+sG/HTRPQrt/2FVj/+nHoj90J4+5bli3SKbbN5S98GyjKSIpeFW0E4ZtPNYyrdEaGgIxKnIj3HHn4mEsYyFQGwFu0wMrxxZzesuHeoEO0WH5MiyUQSyCWwHIS4DEy57vJbgLd6YFDicPl8IYyK0z4gf+8VihbqJ1P3YebCu/nWjUckzEtcjx3qDtlevbp0Dq3KLJWCe/3KhF7sQROQgLyJHjPOOsDj+3Cf/nTz+Dnfu2Pcef9T6j2/s+nvoR//uKtKv5i9TrNcCIRdJbULrKmjIq0vGR/oGIzs1sgaEB/MZ5Bul5AXhZpAqfjoLsCOk04bCnBGispTUPXVAJDyTJ4YF0yHZU2NAmtexY0B1H1pSVPTgSqXhqC5gBaICCsJBqpy1T+cp5n5CE0A4bmIO8OKdagpoKz7vkXXavalM88osLYiyVwOiXAD92ovmjAEaWPF+qth7hnZVDa/GYwkMc0Bs2XKmtN7ABrwuef+EdYkzvBIKHWLIDLcdoefRSpw3cgu/PLS1Xx4qT7PrRaOLg73g4ywMpyY3lHmhhesjWwigdMi4rvxUrkRSpBi158Lng04ilog4DvIS+2z9vlSLu9tuIiNHq2IU2L2ma1gCZm4TeG0dQASA1mQOgRwq10aAjrjR2wMyZqa68PiSfgi8H9iks3w0UgLx8Cz+aRcDDv9Heq/AqBexzpaGE5NX8CdYwTtqgjIy7grGOcQWB7BByx5mMx2APekkEIzHCc3S5nhgOwffQHmoGKv9IWKmTPHtKUDWqjIOBZUJq6rLVb2uaiHUw8HtjOdXVJgMF8jtOsDB0E4BlJF1VDV6SE0MHA+tMzZZV+eV8n+hO2ig9W6yrcaGRV2OnZ+O0dL8d1M2sQ9KzEumoTwnURaWefZwq8JiHxoazAKu3o/kT23Ydb2viqsjPsrdHD48ratP4Fr4RM9ECOjyH40acwfWkRLM/plzVx6xWH8Tvn3Y9vdd6O8fLd8FetR2R2T58pYX/Cg28ZWMMrL2egz5ea4b2RP7T5tfK+47ZwVy1EpK9P9B/Dy3b6magWPmhMOkNjxEBo0GiByyXQ1q/V8bVvSjz0iMAsHVrLbNKiSR3NiRXo1hIoJQied5tcxTzndYfH36Fzo749NJnCDIGpQ6cLW9DzwRcuIhC5To8KEwLSANrPV7Rt6b3fQXbXV+coyRWBikda7CrR5kXXY24LwIA1Z3F7yRUcA6rDYbiYz/0ZvluqrO6LA/Rd6SO3OQCP0ScfFYreoIUHjvBhjurn9PEcr9fw27CpFML6HhMY+N4qrJjMg8HtRxrj4H0ap3YGfxj2gecKx6uX880piRItZDydncZlZhYMtmt+AY3EeSh1XIo0CXjctXHOkSEkha4WitIP7IFovcqQ/8kIHL1K9xAdmp7FK5/cwdWCFwJKwSEVT9b7ALqGsfsOGLd9VSnQOMLHeYcH0aMlFc9JeW1Au7Zr/rxATi59kDJyPSzRqZpKy5UqXOjZgq5hmGhiFg4qJJuD4G3h/ZVpZ9K5KV9V31ndTNdWqJnPC6xM5H41MAs2e1NH+CY0n6egjc83t0GR+B9LIJZALIGTkIBRorEz8bMpGQrUf6oULjzO0AOrTuPq56vJFXv0MaWdz/OAaE7IO+Ale8A0rVnEQtCdtd4rcPF0qhubc+cwO83DJ1UYe7EETlYC4cjrZEudAf4dzx7EL33k43iQQPe9B4ZQLFVUKyv7usGge71x7ABcMbwIvLzeRdOCAGObJtEIAszuEWiWj+5YujWnmZ4kgEA30WPM4g3V+2FoNPGFiUojqyYcqaxEbjNgEbDePZXEdLKBhvQxZdeQrpowpIDonAFaRz1B4D23ctDvgNQs6LZEI70VgbCZvKzz9F4IqcPSG6ilwhuumF62yBnL9DaEWilqYE0D7TPWUFzxS1IC7SB7NOA4UUFEYD0/1H0ri+LWtyPQbNgEmieG7gc/4PmhzvHM7m+DtdnTB36gBgbcRqN7G4rnvh0zF/6yCsvrbwIPFqIBAoPzzPdScKnBu5F76l+hl5aeMLMc+HixfDnOpmQCurdx3CP5cygWaE8yLXYvTgnwtWXQJIGvOb72jmxYA184yNDicEKGYDfvOZ8zER+/EdHo3q4G4ZlSE8Jz0KzvRyUZEFYsYco8F1HOOnK/CsW6SwgQzar4cb1GDQr0sRKQjKxRAbdlMsM4NEYpwG3ZrK62zFekV4dA4HjwINgE+dfLLj48cT8YSFMFFngMHLEGPJN9goZs9KJ9f5n+SH2CA1xq9eCpporifAKrOSZcIHlY4ygqGzxENqgXAy6FKxSfH7Kr+GLeFoOAT+L1CRjtL5chsklUA2qImFM0lrhzbBqs0b4pk4StSST0cKAS2XF/V2Yz/kfnlfhT93p0Nm0aIwkEmTzWVR11jNjcDFWlhjdvTMwH25lOJLDWdZXGWGxnnGkTLiG+FElJ6hyFp/ufov3iOie8KpwVeWgrXwZNWOA38vRvfQYsT34rYJ0RAvP9u8PXl/2BDVxMabcLAi6fZtvfJI+1RlbRT7fHWuq/kqXxJVXMH9pcDnTf1ZjBLmcaKWHg+sQAlTj6nyIMcNoPlJzZhE9AfZ40AwQQMIIsAhFANicxU/Zx0JzGg+c9ihsr/4K3HPmf6J9KgAaiKFOg0QLz0VrDWG3bWjTW96Ny7fkhoeUHhgHp0rkS+HRtNFvUMOD1FsKAwTIOKUd9mybg1vRuetYeAd8nOCdSbmksMZZlbXTmi65HjrPLbfY5oLE79UPF5ns8nj/0nTCPNdt7LwkUQ3crjMb8dKtS9ERXmK8SJ+C5aZ/G4wFyK4C1rwtgdwJuGXjjvRfg5befh9F/T+Dgd4XSrq+39i1DazonUDWcSY8gBx/FTBOr6k+DwXZX70M1+yoCdMeRp/O5VNdx0b5DSAsTht+FyOxPY9MArKqEMVVAYOjwdQuvODiKX//Oj3D1A/egOP0U5EwB3fttyOH98Ol4+Jk83OveRMcywNqxCXRWqjipjeYArNGu5gNUkN8UabzvdxFdU910DyIy+JrkcKFbIa/DgHwNTOQXZs2lTeTAGy9megS6S+JOyKPPE8470863whaMholOsU0leIF1v/dlHPG+gyHvBxj2f4xh73ZUghAo4/OCGSsTJ3d+cZmz7OLmYgnEEnieSUBrKSu5mdWqZ42JKdRo9S5NC956oAM0tvJbYyrF8Dzy+HnP3WmfE3KanZtdxQGMYnifVAnyZOkImoGHQiKHNXY3eN4tvLqat1P2ov+9+wSKxUWzYuJLXALhCPB5IIQvfutHeNV1l+D2L38CF5+3aa5HL7s0HEgMjUzM0V5sEVOkwK9Pi3QFj24qqN072BqccyKaBBRnVsNHB/E2cJP7EDQaM800+mDUNUghkOwOwLwWzd1yjokMgewjqSpGUjWwyZlkug4t5dAkPwBvNtXGYZUmTh71wc0MoJFcXGuO+RY6NxHedHOpITh+ALcpIML580LWM5vO5pVWDTfCH1DlMHaxBE6XBDRa+Y7q0pf4sEqUvzDUq6HGqtvSrvYJ9C1vuEmxsRZ27unPKxMzHDdn94Hb4oc6A+sMspc3vAasTcDlOGz0bAfbnqsNXKXqYI13FXkJeJHsk4P3Lru3vHjBDAycssw4zs5L9nAAvToBEYPuShYvZo+PcXr/D9Qu8iJVw9IwQaAREzbsHZ336mt0zrB2Oy/Q8PXW6NmGjopQfDPmKJoGPTeFhIUQbBGHH0OyPghHy8JfcxFOdJNDBxSrlGkIQgPZJEZgGpDlGrRyFRx3+jvhNYHqKKCZAJuvmPZ3gMGdZ50anmrkCERx8InZx/H50rOqvoVeTm6HhpQi50WTb2l6AAAQAElEQVQIpqoEeRNeTZVn0HTWt8EgdKcUYE10yiawXQc/y51sgPqAx6Tn7JTGs0/VEOC+ujQLZb+d+kEU9GgJ3DU2w1G8ZmWXClclQ0RpumXTW0Bgo9GB1voZAkcg6O7H2jIJymliV7OFJKrSi3srtZA+uGCckhRnBnBfo9NgjJrkD4t5nXSeZLMw+q+BCGy16GL99X8Buy3/9vf48DduxUX7DxI38Oz281VoHhlHmfo8kgv7x7a5VcYZ8Bg8PxHQ/WuVfar11yTXqLDde6r1psT5JpAgcJ3zpnW6bgIBM8hCWj7GCXB/aN0OPHv9g+jUdyJZ2qnGr91HQk1cNt3E5RY6P51A+YaL4NFCzcI8zZGKFAgHZst0BhPStIAkJI1NU9QHJrScoPs/P3NbSbUAznG+1ngNjK89HoNzyHR2lWEBTjNPauX8+jLrAKbz9crgOvNHjtNRXR2bA6XZHuWx1jFru3OaeRoljoH2QYSRE/QV1qFDXbPp3gAb3uJjxVUBsraBbCGBRiMA71eO2l99Y4Bz3usj01rEw3G2WjG8WFLdNSTL4bO3mnklAmGjFkwgTxfkFTuL6CMgW8v1IzFYUTVWL9qM8nUXwKXz3qA6pEMyS9BKAOVeVGzgfDGFoDSD7M5hWIdniAo0N/fDufkD8C66BpP9KxWte3RYhSfqRUC7v3IDGGh3b3w7+G0RfhuG60hMhWMyji/mNLrDW6IDy20pGS40tZvrWo7/TOTxIgvXy9/UaF9gZZpG930Tubn7fyMI55VG69ogjAzxFksglkAsgROVgKBnJiulML+bCudSM9OTnMTlfUUkt9ADiFKNpVarKe+n9ee+8yI+K960zwmj/jiZCHA/EpFUWJ3dr8Jyjh7wFIvmkEtp8U/SEOa+nwj88EeSuON/LIH5EnjenBV33PcYbnjZRRBi/kCzI5tWPW464aBPJV5knoUcsrqOTq2Mp9cX1MCYtVPY3uODkwX8yxP7MNFbAm+F+lZIOmp99ixoHoFRZwXsuq4+DhV9FCfdHyChawpkP5gtoiZd2A3i6Z6ENGnQSxXR3Bqa4YBN0UwGCfjNXtSTF6OZCCd6xHLcf2CvoeMFdKYGUaVqAy+ALFHnjlvy9DO4V9yoKlWD7eKMisdeLIHTIYEI6OW6ThasZQ12Lhc9qDnOH2lhAJDjLoHAzdxGpbXOJmdmz3sPZi/6ZTQIWGfQj3kWc052tSLzACjSoleEF7GntdCI5faZB1acz2KIZMzxyLG8Oa5XJjiI3YtYAomDd0B4dfBgur7iYlRnb4fmAR3+epg0nGBTM7z7rNXC5wwPxnmRhmnsWMudzcpo9DCuaw0mwdRCMJgTwZEdHKC+4eUICHRSiRPw5FA4iBctg9HRB1PNwyEQ1FzTq2phrVeO8DdcfLMC1qasBC5uq+bBQPnNqfBjT7dWD+H3p+4Hg+jMHzkDKayQ16BbXnqsdnsjPP8vtXuwx6WHN4ALCZykAMashD0kwSBe+RwSFBOXcQz4cDZra3O4lFulS/gOIHygtzkO1k6vMAHAMIHmrN2e1CRYw51IWJmwOUCk4a4S5LUwO9Roruf39KOnQX2sV7Fw/4n1mP9qPRxfDtFY5ZjMFuH7FR//OksnSiv9XIJIc/2wG47fvK4MhJFEcO1b4WcIfLQSqvosLbTkKiFQuXtlPzTLViY5rD2DmDB8+JZFxzHkVQXOkLcY6M5vDnyvehgfm34YHxj/MSLt9tel1hzTi8GWXNmUTycNVANNQ1UL1DHXYMNPNdG48AGUNw/h+sRK/OYz4+jQTVg0bMzPDqM0k0XD0tHUoRa6jmlgISHwoQWTMJoehEtyCprzOHQjTAYM+odR5acOhfeG6HlglAbn2lvzah8MTjN4zlrpzbIqgvIRoSL57YEK2z0G2yMTLTM7aGcok8uNPSCx90tSaZuzdvEKAsEpa96ftd25PbrNYOyJMMvK00USRk/Yd1uLCno5bL+T+nnRuyR2XzaI7970GPJvq2Dl9YEyO8n9PZGKDboX1GjuNWxXcUXzPlWkkbocrrUGbN7KR1OBuq8ZaWKNkUKi2avO23azP6VXXQJDS1HZAEG6C40P/CHEz30EsxesxUQ6CcgNkMleuKvXo/nK1wLZPPECj69fq0K5L7zPqsTxvEYN+hPhooB3Jc0JWnVxsSAT1ttJ1xqnq4HHwSk5CznwxvvP4dk2J8Nt8v05OuYaLQz3yCuwQXuHcmu1N2CVdhN65EXMCgez4C2aI5bHjz2HOT92LxAJxN2MJXCWJRDNmfiZGbTGu0dmwzFrNz1nA2hwUxqC56GGO4/xWVxuspuDY5wzN58emsvjMk16KM8YNjakw7FOtNDA44U5xrbIxIRQKR7KjY2FcUWIvVgCJAFJ7nnxP2fTGrAN94Wdue+hpxVpVX+4oqYSLzLPFB3IEODeq5dREglUtpUwXm/ith9V8I1nJ/EEDXgfSxTUXk8Xz4egSYxuNcCX80G/F+mqAZtp6XAQlaFxaorSbMf9YLaMrukkTCmgdYdAtBdk4IkAuu5A9ySmqE3UJKrZUPMWJ7g1rQGAmuy1h1CjGy4XCyrs/xQcDaz9yLTM/vCDdD+FXsRNvgglEAG9LoHjvHv8IObwRNxc2dT8+1dt4GWYvvTXUCCAvbTlzeB0M78R7cD8cvX7FgET3dsUS3LofhW+mD3hNSAIPI32cal9tkcfVSxNWsSIBoWK0PJ8M6tigupTkdh7UUpAzByGNbETgWaD3xJB5SBW7L4PA0dGkMncAI/OA4NANmtiBxKt6yfSbo8EwtdYkNuGND0bGXRnuqkdvY6bxRBE1brDxS/OPxEn9oXPJ03LKXa3q0OF+lT4jI/SpYNC0TPrAkx7j8MhMPGBeoAJ18bN6Y14K7k/7XqZAmIZFP2vUz/BQhMzlsghKzaqetq9SBt8q5FHZHP7/NYzPHFIU6y1lR6OB6Izo3ABDo/Hu4qqTfvEGfhYP1tBQM9s1vwmCiZKCQ5wfV8IinGiywo7VPc8Ts45adGgg1I+Y6tWAlutLkoBh8rjKlzOU1r2xLDHCeuIQPqk1IkKsKmZr5Y83Fn15uSiMk7RS4pwHyq+q2qIFlPMGQfO+39HgY+ND/0vBL/yR/jkz74ef/GWN+DLN1yNlDSgT5Ugmg725gQCU8M266hsVGVnyLs+MYB2TXdezPlc6Rkw0F4JHLCW/XsyWxDtW3s3FpomAo07K6IBPZCw/G7YdEyv1nL4y+7r8KvFJFaNjcIXAWgtBp3lfWhWMqq6ausYq8QynjmzH0bhAIzSDKRbhY+mAsu5iEYjZDMUPxicZBo7fn7zm2GBZoMXuRsLnqN2J7DuDb6qpz4NsOY5g+ezu7k0kFoRhub0XuQf+wykU1WE3GYVoHAQYF4uN/V0SGPN8lUE5GtmmF7o917MFwYQaR7bi+MCC4vNS3ut8b9G4GuUwe1lNnuopRqIrvko70RCbUqgTMcciUPYHpQQSBvV9NWqaFOEIG6yZKi3NcxGFnxP4zd0SjdeonjY4zcTgouuhGPWaAebSD8xAc0O4HQnMZbO4nsDV8LvXQWvQ2f2OfdwT3gu2MOH5mjHi2i76PnfqIG12/1VG+ax8/2GCQOzBQ4QLfapxEl6tuiBRHgwOUzIo8+Fk6zqObFH91ytLhatR7b66PExJA69dY40iuH9j0jxP5ZALIFYAseVQKQ85rbAaVmuYbAwgaTuIedqSFRNBALw6iHOdNwKzyIDj/W5OSe7ioNjnE/zaZ7fC5pj8viAGXh/yzRu22fnsFYLn0VespezEJnWUYk2b7pt1x9/koTRlhdHYwk8bwD3d775Fbjlh/fjTz75OYyOT2PPgUH8y5e+h9/9k0/jZ197LTLp5Iv2aEkaFCVlDmnpo1Ov4tPeMJ7JF6DVNGwfotE/7flIqkI+UJhaA0GTTEEpQZOYySCLdMWEISWMtIuAfqxpk9QlOgo2NE8o0zIMyMsV4+Dtu9UaZkQDsBykWkj5JE5BvmY/HE2HafJAfIKrhh+OZVWc7WLKRlnFz4bnXdj6eOrj95yN5uI2XgISkI2iAno9swON7tAsQ/TwPt7ut5cNWhoB7WUWo7XnHy9eJdCeeRg84LY4/mJ10f55BJTyPuoLbO0xTRCInhh9nKNo11RWhJZ3PA2FFlscvIAlwOeK2PldtQfVgavAg2ljdq9Kd86UacE6gxrRmZA6fBeBdYNg8G2xc6ZK11i2xJyhM5EDb9yG32wQaNOBdD4EXph+XNeoQZam6dmbgGxpuHv5cDBvtmm4s+mKBrFxffamcVQwhCM0GXigmsdWoxOvbZnzYPDzf3ZfhevtlWAw9BOzj4NNzFRbAAuXX8ztaoYzg21mL/a6AZJCYJUuYA9pMIoCngWcqCkZ2QJ7vBMASd82o+H1TxSQcUOTMrXAhR9ocL0EkprEy/vC8Q73eWWSOkGRoRqNVSiM/kY6jDnlMAx6+rGu4hA43QAvPITUxf1OTaiMKV8Fc15S6CoeAfGceKC5gImJJ+nWtjobabg7/eHigDHaOrhRfTSmy+X6UEol4EuBbi2BxGN7VO6+vFThWj2rwrPhMej+mx0Xqqa6ZQLXJ1YqEJ6Bcl7kuZ5AeZXZ5g16QDUIEJkm6tQok/aFNdwBF1pgIUW/lzsJ9ND+aQ/cRgyA3HITrFQehkfH+TDJXGoopgJo9OxVDMt4RnkIAYG3GpszqZdhjj8Kazo0saTROc3rKHwut1eR2v99leQFNp8m2rUVITjMzxR+hnCmSefYxrf4YPDdpfPswDck+JrkdGROxh57jMD2CqzxJ7gI2JxjpKnOH0flcpze9E5faZZznYpxEY8/wppsAfmc3TptOHrCzk35itcoCBVGHn+jgeOPtN5q4fiJusaMp1g3px8Hy7OWvBSBsBWt4ofagMmhEoSnwwx6Fb187fm0QGSoeOSZeifqWQeu4cHeRffbp+/Bhokmtj0scN3DU5B0X/ZsN2JXYSGdxGie7reNGmTrI9MqYxkv0ob3Lg7nAu2sQZbqIoJFi1gUPOd/QoQge0aG5gaec4WnUIFL1wkXMwqSg2OcKToUrYlZ8JZo3V4bpfnnCOfFLpbAi0QC8W60ScAPHwttlFOLmjPhGNptjVv57buyDNBFi3j5RhMmPSqEqcNrhPeaU2vlzJSKAHI3s3rJBiJlNwbamUmb2YMajU/3JzuwtvXwdltKd3p1Eotto2NH76tjBLeVQ9huMdaY9hKUwOJP6Z+CIF59/WX4w//8fnzze/di36Fh/OMXvos/+/sv4g2vugq/8+s/91Po0dltUhLobhHgntEaoPsW+DXT1Ukbl5S60OvZaBo+Ju06aoUOuInVMHlySxOTCa8Tdl2HYTqYWPEtjPs/UR1n0D1BE9iOoo1cwYJNcS1TBb/xO+gI8BYYTWi+BOs6TMCee6WW85Zy1uQudD70VzAKhxAYPfCkiaRZg7CKYZHWDcYefSy0TX3krpB+y5f5lAAAEABJREFUFnx/1Qb4mTwkazvtevgstBg38WKXgF4NF5K8ZDe86GFbnG/nbSkZGC0+j8ouxfNc6D6BBc4StueeS73Px7J6hUYv1DE3uwq8z/8/e+8BINlRnQt/dVPnnu6euDOzs6tN2iBpV1lCKAASQRjbBAG2wfDABhvbGJwfxj/2M/g9+70HNg4YcHgGbLAFIgsEAqGEclpJu6vNYXKezt03/edU3TvbM9szOxu1kmamK506Vbdu3XurTn117rl6PQ/WTibS7I81moVblfkLaTK4gYaCVp2ZLbccefH0AN8T6Z23AtU8nEQ7bbxcLE9Oy++XoU7znEmbNWyyiTdv+H7hDAbfmm2A8TNmJS9gFukMLS1Df0bdjzYtPqy52JLMX8jTgrev/HQ7jEk1ZzqtKWhFmkMJCPKpMtYIrY4T6F0H4l3AlPEEgekOHqhEUPYNvDN9/pzq48LE+1suwDtTG5GgOJuY+e/jD4I/bjmHMUgwncF5BlL3Obqksm3zOAke8cMqXV7rgA4l847n6TUlT4Talovxtx8QuPBIBaZeBJt44HaU7Cx0EkLWpOJSTmks3xOLyORguSZD9nSLfYABUI55PeehrUpgXbWCQ7bqU6Y3c6xlz/SFTMrspWo4n91DNR/zgXmmn4jja8P8fJ68CcLX1k3EwZrrenD9OZ9dyMvxBLXDmCpwFLtXK9CsXVdApySeBe/yaCe+1HkT/qb9Wrw/fQGB7j1o12MLHnlv8NbAelOxxNVtgfFolDZVbPhCwNCSQK0iAVT+SCZoo8HZ9jJEW3oAuge0obIsvJAdd5nZ4AmnKlOemYZP8rDwbKQqz8IsDiDmlSEMl+5jqlhyQb7NwnMHP/sV2kxjskvzejinsNY609jxfbbq9R5a1vuz91pylapL0OZAuOg2SkpG4DJszpFDg06z+1oPGwhsD9bqTF7UdV+vkJFEB8DHXpS5SWb4Ec1wAyxk2WQplDXcZAvpxwsF3YO1ooOklkcqOk79G0UtcZks5qFO/wpYSU0IxMsZCCuGel8n6qs6JU+jp9H6xrBS8AwN9c4sJnppvBMaOsdiWFtbCadUhrV7p3wuuFz45slgp6pL2/UYkxd1DMprgzTO0z0Vvu3aWMBvUzbhV02pMWLcqzRmn3A8LdbDRAvSYt0Jlz1dBWbfaiiKplVq1O+cwdeLQ43XjRRZ/mgqdcLyb7kHXuQ9wFrWX/qyhv0HTv1Ew/nOTivQ2hyaxDNJB5kYEHWFPIBr6bCdsow/n96nJ7fj46OPzsrAYdt5TbBQu+pZNY7zxgLP73ZpWLK6ufUIZTOP1tysnCNonanNUwgg8R2lEmCRfLp2jZITnlrWcpd9eLq9xeqrVOsYHB6H56lr0Ix3aHRy0fxmZU4HTTsdlZyuOt76hhtw/zf/Ft/+wv/Ef372YxT/O/zVn/waWlKJ03WIc7aeqGhHRHOwMjKMd65vwZs2tqHvcjWIbX1aCZ3DyQp4kTlT2Qw2jVBxujHiR6VZGKt9HMJwaGF+BDZKSPX5iBsGOkcSSJQsmJlpiHgdU56GWCGDeL6NRoY64lW1OqpAhYt1EA8w0val7yJx4E4SjuvwIj2ySEtU7X7atPZgvvCDVBYB85LhLHnula+SR9If+pEMl73lHjiVHtDLCljzoi2w073gyZZBeEEL7uPVqxEozDxclsMz4Wptm2W1sQG10SYTL0JP8MBH5+UbUSx0ziwoEQuBrEpjkePznUsCE9PCa8PxZffC7wGec9gme/LAD+SHh5FdidKGn1Un5hKwUj4MAY2cgfA+Ka15DfiPn+lm2u2cx85ruxrRAFSO0TzNNLdU4ADRTFqGS/W08SHF2nGeDN1kHAyyN2q3c0ZoL5rfSqtjGgftCvbUMmC77azVjiZ/rPX+idarwBrwDCZ9fPoRhNrurPnNgBvb4g4/enl5tAN7CFTjqth+e/ywAUFp/lBqvVWBf5x3PMdlmMc32F/Y8SNs5z34notYvAQGW8cIMC3aGViuj+sJiJtfOhtRcslEzZ6TFVUYItjkh9/ejS2FGhhsPcxqxXM4jyZ+XB6QC7AeXclVrJHNGkxHOYCn6r5Mxgkc5sgee+n9wPyPUfkPTro4SOfDaXbh9QrN5zgrskyGOTwlw9AL7b1zOrt3GIJWcHZnDoe0KpPQZ6RkeDY9QU/MUo8X9t364D6ICVXS1yhC1xxUl6+ZEPkp6IF2u7P1GngtUVjZNRDEFh8owoOBCgGD/nE2T0B/epkETsuHUY/B1VtQzBKoms7QveAgahcQqQxB+APgTTYeI2LD6g2o8NmnKuRvoTlFt4Ce63y0XezDTAq0bVX3B4PsghbdXNgsKE1vjq94uY+eGzysJqCetdaZtlTHwPwFb9ew+ibqiKUWauCzM+peNRpMynA2b5Lw5hpv+vAYwLSlOGtCQ4HknIR5BHHTRyn5SvgiKovWvBm6TnXoSMAcnYbuWPASSRSvvVDmN/P8qAboGiYvSKPam4bWfT66L3kHhmnDcRoz8McOIPHQzjlFn1up1hdiCRru+lP3ybJ8T8lIE89L5SS1a3JGhqfixUQHVuqvoZVT8lSqOaWybjS8H8WC9VjIgP9qmEZUnf6s6SIs/y33wHIPvCh7gMH27U+rceHZnTT2nsJZ8jzL851rtRDmQ2N3sQJzZBIlE0gaagzyQceiTVSPZNVTONQpF2UZ9yfFQTxWHQfLwP82fDd4E8CJt9P6PbJg/by+50yz0A+e38t2EVNmFF2Wktc4j50TKNAxDsDp0E3SxjPHEwlg60U+R7Fvv0CxJKPL3nF64JW3fBhbbng3Hnj02VnOux94CkwPCRxnntD97Ls+AuYJ83/rj/8Gl732fbjp7b+H69/0Qfzff/yvMEuGX7j1DrzmF34fv/Qbfy7zP/nZufmS6Qx6p/YUnoGGHewfwcEjwxgdm8LE1KkLRWegiWekyqjIkPAq0GlNoCyq8his5W4kgTYngs6RJAYSRUmfnNkKN5rFTH497GAXx0oTqCBzgYJ3EPFuyFe0MzNKQI6tmIDQfByxDay5+yrs/dFNsIWPSF2HT2PDIaTR7BVenzODepP77wAPupxkLSHWJKxb7ZyEGR2UYY3WP6k935rlY35e7MjMs+B5my47quUeaBOehcMuH+JF2gM88fKpOTHaoKJIONku5Z6eX5aKn/ZfqKnLzyNr9572A5wjFRrlUdkSvg6N5xxeBw5ZUPL1KNgWvmRu4rkkdDHZYKCGIy9K99I6Kb7veS6KjCub7aW+G+Bd8gtyYSB7onQImusARgKC/o18vySzgM02nPMbfg6+vrAgzlotHbGbsbJyEdWRlmX9GZroKCbSav6j6JJ+of12g+Z0LuB0ZTmAMaFkHSew5842oGVGVz9GaMNgey2JFi2O1yX6JHkhj8G1j+YuQ6O2+6+O3oWPTDyAj089gtAWN5e/LNKJ0Ob2NldDdEBjMkrrqK9kbGmeHnykMTRvsFCpIz/U4JUdxIxJaJmEZJt2TPi0EdIXs7AuFZe0Rq83HpHJwUpVhqGnWSrm1QT8tm6sdgygXsPB+rTKmOcfdPL458KzcgH2SPUwxgksHXM9MAjJrNxvrM0+SfJUXABvb1F9cftRsYrZjuvuq/p0PsCOOglVAXdcmDI2TteRI3aXQr2sgyOcnHUxQecQpLKHJ2Wsf22rbGOC6uA2SuI56LHt+0FXNewiS/Udp+KCOtPQMWXwPeXD0DrBm06hJrK77Rr4OqCnumFSsWhhCNXpDi6KSsST4WKeXivIbN2j+8Tz4FgxVDe8Ek60FbppQdBukDWzE+ldtyLzzL9LuZTBdX72ZcHAazanBFkyYFl8/dtcaNRWJhiFo2+5sYzLgATTBZ1Dy1qAwXNOn6iLt/mwUkfvnRMtHz6D5jQ1pKHw5sD+/2M1NY82ZC0YtQseEl4JdmofLGsN6vGjYHoFqp6k1gNrcErWUV+/Crx5KBNNPENXY6ddVWNnut6L5LAFPRrBJy8YwLPRCiJ7B6QppbLvyBrqPatm5XkxrtYYMmO+V6sgfHuI76n52bPpdAam0BGx6yh76hh4Af+5CXWv0G0Ods1ORYMlyX5gZiyak0m5Waliy/6LoQeigzpa77WQe8BC5mELLY+bSO0wkNxtQKuKF8MpLp/DEntg7z4gBNu5yBQN0acC/PL6iutx0j0cgM3JjFg+8nETXahLGnwBP2qgXlGyiyKeXX+MZKzbinTydNhXJrvBclN5ej/22jN4nGQDfsuQspr+eA3gxJU8z991Knk2nk20YtM8wN3lV9CoBr2s5kCKyt9UIHqu6ASSJN4ua7nLbjkhL5dJ4a8//1XCJNW81qzw73/g7bjzvz6Jb/3bX2DrlnX4wH//FJzgO0/nr+3D1//l43jsjs/hz//gvfiXr9yOp3ful9U8+9xB/OXff1nSf3zrp/Bvn/6ItKTy1A51v0imM+xpZ7h+Vf0S/EKxjF/4wJ/jje/5KHiX4rc++mn87Lv/GO/58F9ieOz5e4CP13SNFnzH41lKvi4SsDQNCc3BPZUB8MDB5fhjSlFdR9dIAsMJtforjLehmHkj9hy+CVaVJlNa1FjpMrNLV/APggX+tl4NGgHmJlGt1hnyAXemBXY+BpcGR68WQ6rOuUBFGDK/0ftJ/xh+57Hd+PrhUfgDj4ABLddKY/qCd4BDBvmMwjQtaoBonIRoaoduA95MXubXM7TyoAr18hj5Z+/nbXu5PJh+z7dluOwt98DJ9oBeHpdF7fRKGdaD1874WZCERbywrBNM0IuwnlJWJbBHzYDjKVV0DhcOxxDfiMpW2jn1+l9kXO2Gs4DEGWwahMPFnBMIVWGdi/Eu553bPcBge6jVXmvbTHPTL6HapczIhC03pvbKqNt6sZyXeN4Krz1vzjgE9kmGRTyvZTP8bqURz2xiSoH2TmCiiGnHdfkpaIVJsGa3Fm7gBQB7o4Z7aVCAtcF1C7C7DmDCrZI8EMOvpS9ACN4e71ihtnuoXc0Lj01mDq+Lr5Jg/P9uvQZJPYMyyQcMivaM6LLKao+HEMSRhCV4mquYfMNXkSb+6OMC5WFAs/NYnfoBtI5WyTVST8twWzopw/led0w97/3l2pysEJSsF9Qx+2hhxAyHyxMcHOMeC0A+zqgjj0G3hL+Y2sPJWfd0AJJvsAReHteR1QSmCIAPPyo7y7hAhEFntofP2QMNWF6ouT5G15Hz7MCOuzGV5+SsC/k6XFNqjzF4+dMOlX1pVC0EVerc8/sdX95LbL89Jo62LxrES7TScCEgPAsgcJQ5nK3XgJ8Fz/ShZdfCMKNIVwfhldS9UDHm9g+XaXRaLQ9BferFdOiuDg0+PNQRbfchEilEO7Jwkl2otXYSqB+VvD5tyJZW3dBYzWx8/pwym9EkEgIQXB9n69QWDp9vF5p10uY+Lrgsom6kg3ZhyU2cHikh41eRiBVRSdK1aihZ9ZVMHxuzYRZ9QDdhd7c1cBwb9ZK6JDJe9lQAABAASURBVBqVmAw79q+FoOck3R3BwS4Xf31ZDCNeBfEn98J/bKfkiQsTfu8aGdf6D8iwmac/eb8k88dS+Z6SiSae394tqV2T0wg/ZCwJL2DPbqH+p/YbwcYnRef8ItpRDXfOCDcr7bNlx50PuuzOeA9YY5o8Bj9Teg0wSgL8lkpkREPmCZM21NXzJ5mWvRdtDzDY/tMHNXl+F13oIwR+d+1SNJlxgp5RVuByKO+yOZn9UQd6wkTWpdAO7i3CsGwB8Nx8goc4LeyfnXkWJd/GG1Kr8Fu5i8BvfL7SN+GQZPAtUcaHxu7DxycflW9+8ubzfADeCdb5vL6v+i72xjKYD7iz+TlubKhQx3F2k1PsA5ngTbOtgZY723VvttlhByb4VKlln3vgt3/lLXjmuQO46/4nONnU5QiUX9GRw9pV3Xj5FRciHqwRmPk33/NGbFjTi2jEwg0v24bO9iweeExhBMWywk+7SC5k3jV9K8B1He6fq/jCeWfKnfwTeJpb9MnP3YrttNPw4ffdgi/93R/jK//4MXCcP576e3/2mdN8tNNXXfppE6dj9ziCDFqEhQ7DwaCTl4PCIaeA1GrA0ID2QgwufIxHq6hMCBSdDZggfv5gqiEAkSwh/HNRAgvEqdU+1iTjWJ2IQWubltmJyU4ZsscLxGTV5GUQDvpJCJdmac4I3A/HVJl7RqfwJwNRfB3rMb76RrgEWOU33aK4Sg48riE6BE13EKPGTudbwa/s1tq3SJ7wFX6ZOAueu+0aeIEt9/DV5bNw2OVDvMh6gJ8HvT4jF+teRAFDfO/zaRr5Ixws6MKyzBCW4fiZcOFmAAsJz5egcybOq7FO4SgtCofGHqZXOi/mALzJwOAHn7uvR7GYaRBZgDw2x0UBzhWQhNuy7E6uB4yK2hDj615c8xqEz2ljbV5ZAatOdjOcdC84j+8ZDk/G8bMdmpRJtaeWXIU2oDQt2Oa4EZgTsbuy0IoVaT6EAVYvGUOJgGmuNLJuFNNuEef1b8Q1xU3YFGipct5SXLsew1+0Xo3Pd7wCnyP30dxleEfqfDAY320kENrcvjIiYI6TkEGV1nMe+Uv/8eKeHZuTYdesJG8gjD9BQgpl9q7aCUsn0C8SQ9X10F9X9Js6spR77I/lCaZO1WgnnyOBM5IqUg9sF8ezXUgw6FvJg+UmlXvUv6cyKBO/k9mGdyVXIElA3oxP4K+kKm9PsADaaKm+2GAq+kP1pfVJWJ5LlRUGxlH0BY09RHIdE/gaO7m0vObm0CSTpGNwkSOX76X+oUi9rwOP+koGCwFTIi/4e47Ay2+zULcgx5nL2EN9z7VvtdT15Di7HHWlR4vwglaVcqIv2iF0HwyKspzGPF6E0hSJprvJB8zn1AKIZVhJWMAzymMyx7cSMpz1jDrO/2UXbRtBc3eE5oTNmNr2HvCbL/mNb5S0Wd6GSOOcstg8ys9/aBM23ODl+aehquctOgu+8g5HQytC0GCnPUkbI3OfpQa22eiBah6Z8gx0vYZoWwpO5OibNR5talShAJjkQBk6bRD59DzXVx1dW8xW1BARpiFThmciNdOJ2GQEPGboqzT8TnYbBlt0fH6TLkH3Nc8MYvNQDQnNgLdGrSO0/WrhLCuZ5xlPKcDdvfLGeTlzkz6tC5iSKR1VUOL0C9mFG516ae6zF56TAfV8OFBrxFibyqkXVbjsv/B7gOdgMy/kiUxdboNd/kIHxQ0OeBOd8xP7daSfMsFxybjsveh6YD7Yvu0iH+vUfiUOLb5kXbQvjPyAzLfTvUpuGZnEWNRHe8yG5QqYkyYi0xHaUNfgESBlVwP0WZY6Ox6bkuH5jc2nva1FKWSxDHxlrY61Zgv8dJ8E45nne+VD+OT0k/gfz/0QP3zwRwgVXOuBkmjVc+GQxFJIdiGUy8KzCM2S6oH8EdIZWOd4rpV9IEnDbiftc5dKwHAg03NOnaZfNvfz5f/SOfn8uRE69Nl2Y3TMRX7trRl84F0/J7XcXVofNGO976Gn8R9f/xE+84Vv4uN//QV85IO/BEM/ti8PEZA+MjYF1nrnei7esg6XXLgBb/6Vj+GLX/0B/vEL30JbrgXXv2wbZ58Vp52VoyzhIHfe8yhec8Pl+JVffD0uvmA9Ltx4noz/2i//HJ54Zg/YyP0SqjnrLHoFMGfURHeSB58tltZascZIY7Xpg22wfoJ24u53BxDvAqJ0QyXLFoYSZTgkKBUPCUwQ+B6t6TLPz07JeqKgJ5xiBf8AEit8EpgFRMQhwF3lG4NKKOYljldqQZIjxF8GT8RViqnf3kIZZbrh+aNlG7UiyjDwDbEOHztQxx2D4yjTIrLccxUKSMHWdJiRKgyRB/+VWl8BHphDcCxcnHDe2XLudW+QhzIevhPIq3OXhGVvuQeW2APhotuNHAXV+L5mYJcX+2F+s+rCvPAZaMZzumgMMrJ2L9cXH3iAgxeVY4Bj/sbHnHM+/BN5vrX2zQuCKZIh8JxEu4zpZQUayMSy94LsgfDjt6HWyfyT8AnkjBRGaEtYw8GJFZiy1kuWU9kEFgRGua6PktcCKxGR9S3FmwXc2/ugF8uyCIOvjdrtTCwPCQ5g9I3CLKWw8siFePORtZJ2Mt78BUNYR2hzewMtmAhXA4NfdqCdE/IcL9SCN/w8vTkngzr9P1Lnw3awWxKDktFrW4GfTqi37rKGTTKMJunzvd54VJIGKnOVAfSg231WpyIOr2cNVpfrELUKxl0SyogW/ngxxfJUQpi4NNKBV8TascZMo8/oxJXRLtycWC1Zww+mbo0KmX5dTLWJze4sBccOy3Ph0LwKx/mjlbwIZNCf28I0N6fmFOvI0TGIQdGXRVfgdWMWs2BqbRd4ccjt5jxJXMDj9v1LwcMPKh4erHkLcB0lz7hH46cjFr4FsM44tjahC1Q1Xr4CQkShCR+hdjvoj+87ChBrVYvk+GCBk6i7i6/OZufYdEbyW4GGrwta0RJFC8woeHSv+HTD8JsvToKEacpr9vMi6dnvgyw2j7Jmm3CrcGjz10mtlFXppaPXURKeJy98O0Uvqns4bEac7n1+w4XTx7Pjzlp/+/ufQoz6kcR8VFtez8VmXbgREkUHrOFp2tUQcFa0w7fMWZ5mEd8Q0GidYVajWL33SvBfpdsFa+XzmzhsBuu+tTF8ab3AjGfj7U8U0FPVCHDfzKyQ42cTWV5j++61Cli73Qu04WWBJp5P444ldHRNTc+CLE3YXlCkcJNFD8bi+Y03EQf/OX6JA0SyngzLQzJY9p7fHjgtRzeCsY9NSvHzxI7n8lqnh9IaB8X1jpzfGZRvedyCOc/k1GlpxHIlz2sPHDki0KjZvo3Adm5QZ6ePRAJg4HeShmumnYjjeVavK8UzVh6L7FUy3HDaRFx3YdJme2QqAs3WIDyaC0xyvhpjcJb+WK4KTcnIN0E1NReFbY/TRPY7ndeDlU8+mrkc/C0kng/f8GwJm7cP4V8OPSjng3BtWPRtDEaSOI9kxfmnwH3AGAC/KSsCJVUG0bl/mTdJfc0hu/AaPPW0xknwhsi3v6vNMfcjM862x+L0o3TQs+2eomMe5/eOt7xa4r3f/8nDTTn3Hx7Co089h517DiGVjONfv/I97Duk7smwQKlcxYf+v7+VADtrwTPdIvnkuqsuwoqOHL7zwwfwt/9yG667aiviMRIQmeEsOHUXnIUDHe8Q56/rQ2d7YFyugfn6q7fKVKk0dxElieeIFztknJaWmCIBS2j4cHatfPWbX435bP5ZPJA5gpSho20ihqGkWqjnDwoULQfJkgWLQj2lhKlWXe3WlP0xRKk7sxuB5JYpCM2ngTGD+mQctN6h9vrwCy2IB1pdEySUafU80dXvjsEJGbnO2Y+POPfgD6xdWJtKSBD++5T30PgMKj1XI5vqRl7EIHQHZvSQLFMrt8vQowUML0oELU7MfL+knYqX3Ptd5B77e/Agerx6vDWb4W66VLJJ0F3Glr3lHlh6D4T3LE+wjaWcBT6a0shjBAvw+WUbeU5nvEzPItfHGt96eXGggvleSC583j0CTRrbXWtTmm+8+cH0emZpoKQbmAExSmNcbNm9gHtg1mwTgV9NTyO/S5LH6mtx109jeHCvAshYI1UEwrJkOBEvr+4bJ7BnudSievBNET0Q4p1cWoJUof12uysHNiVTHgZ0C3ByB2DNpFGDjrhnnNZFMgO0ofmTzTNKDKzLD6Uu9WwUnx6Amm7SU4R5fv8PNXlO8S6g4xIfIgTMIjE8NaNklo5IcV6po8mortGiTrVvsFybzbCSKhq84ACPgLTVZRuiXsN8sxkMdDP3dTGlQd1K1bEZnZgWwa+mL8IvJTeAtdPLvo+cJtBGADHzM986Q4DpTy1By/2pwCQNl+UyHLJr12MIj82vPDOt3kcdQpHosweQvv0h+ZYDJfGhcg/W5Uk2o8XBA1mbSbQxkEKcAFOZWMC7q+rJdnL28ezO/5Au/kcJcd/e0F4ud7Jugi59eC+tp8V2Yz1xAfiawKhpwxOCXBe8lefB3XZNIxvcCBBppfHbB9yJOmIEHrq+Ld/UnMPYkOAFLyfdYAOVF/yc9ggo5jAE3MMPSzLteG52TskvLK9a0/tkNU56JZzg2DyeSOLz7DnBc2g00Xa+LNohW/dobfHNgSfyj+HaqSkYEHA6z4Ont8hyoVeBGv+ioh3WQRqsKMPu6yF/8R+/yWAKupfrbYjW0vKaV1a5s4X4zRsGQn54fgK3r9ERtT28/tEJmc/yPEe0AdX3HA9d+Bart1bJA0zfb8/QveNwdI7zo1GZjjBCImMvfG+hTZbwzDRYMsrPE0f4+14cloONXY4vuxd2D+jB8+5kaABtciq1Lg/TF9uw0z50mkbTTxuIHdKx/Pfi6YHDwZS1mTCfEOgNz66rU90XO3eKkLTk0Aze5rZTaowPx/yh9igyeh0JR8AiwD06HQFN9vBNDU5tCmfz71PTT4LxMjaZ2Pgm6Py2x4UJzn9zci3+rLYGr59JIiYMdPZPS6sSo/Bgp3pRpA3f/bEWbDKzTU/DCTGAYA05OSEkX5bYSXSTcfYaNzu+fbsmN0QYmE8kgDf9vMcsz4/jR591b8+2C96uWuykW1IJvP+db8Cn/+lrsJ1j5/BfvuXV+OSffgCf/vMPSjvuHe1ZfOUbP5qtslKt48Mf+zu4roe//fgHodMagjPvfWg72D78l/7+o/jPz34Mn/vfvyc15b/2nbs5+6w47awcZQkHedvPvgJfpROfKahFWFjkAO1msI2elT0dIemcCnmhoNMExnbSFmpY7LCOzCMWwgXAQnxxqAXhtLcb/Oo3a3ww7wMthzHpV5GZjkoNd6bxorxg1klwNaDHK6AxA6afQgQZEq8ycFEigXMMK67xkLlUDX5GqQWoWvAF6E9DvhxBhMqaro4yiddlmEQnFrpRWcOdE9fVdnCAlWsux29sXInXdreC/8J8v/dlGDF7STQHzPg0Z6Gi5HEZDwHHkwZtQubAAAAQAElEQVQBZS1UNy2AIpO7IQiRWEz7KGCXgXPFjfBSWeg7H4O281FJW/aWe2CpPaAHG1BOANCG5UI77otpyRoBEjS/bFjH6Q55c6vcc5WstmXnV3Gqz5us6Bzx9JraCHQDISdsFr9t4FppmWQhidMycRwvfCWwcYPxOEWWs8/RHtDrSkua7/+mTSzsluSDM2tleGAggiktAN1pTpHEeV5y//eR2vOtedSjSS/4YKrWcgIySZ7m4FoFIKBZ0xVa7IZazodHZeVs23t6j5ycoeVKsM0SWiY64fkGEjTBR0Y1yXc6PLa5zfUwoNySV/XaLR6TTsiFMg018ZhyIw9pqE4CBp3uyps8iPEh8AczmXFPpAU7ShWSGzx0mz6TFnQrYlGZVw4+jMQJ3pDg0KuzTy6dxUYvBt9zcZgPSqTwF2r0XmodvV7dusrtD+T5hUyiXBlRfD+pqnAhn0Fn9cFVgR5dSLb+o1iiBNxZy32nPQluj70ii/K2dWCtYHNkEplv3i8/FhnZ2y/L1tb3YqdN9wylQqCUok1/hJ/j7qB9cQK12e78QmA6895ZVf19VxA2rfQEiLeVPMnN91JMnbpMsxfTaA1OV3nCUDxCj0O+fUjPAeeHjs1iaKlusDWfRGkEpaksNDioQcmUaPI3+3ZLa6fMNUkO50j4cUgt6H+um+lLcXa6Fzyn8NzP34doVibUZuc5hzXnnWCzL9ygb1bmbNH4OeQ1CZuN0AMQLjw2a5FzfMciYMioM4V0/nuIV3pooZpFPaPAWi4XuqI3IKPxegrmRBlC6Kiv7ZW0Ru/AIeDpZ47eENw2zbBolZGUbKUNwcMnU8pjIIRBk3vXxDEV1xEZmUJkTz/cNZvBf+GmJcdBYyqD7bMf4N10iSSz6aY/mXwIHxy7F2xmQBLJE7Su8XMraPtSgDXcK/6xxye2F9xvsU2WyLCO7nu7ES9kUId6lizq/mS7kBuhhUNHrw+a/L1IuqjJmb24SOaMuo5OwlvwxFjrPb/VRmmNGhjjhEtEB4KJkDabjbu+AXFk74Lln5eM5YMuuQcmp9Q9sGbtsfdAaFZmeETxLLlSYgzXsjZtMFuHRsDyCsst+9ICbXoFpuPDmjRhlU1orkaAu4BdUWMNFT/jv68V9+GQUwDLV29KrplzvMa2z8mgRHTHQbCotkZvwappH/wW5Kemn8Rk2yZMCB/3t/SA304E/ZkD48h98QcwB8cpBbgJJUuG6+ypaUlGLqtkK5VS/tYL1fWgPWww0P6yqzy8+ec9NGrCK86z6Bt0rMueB6f0genAi/9+8Y2vwuR0Af/1rbsWZTR0HWyL/cCRYcmXL5bx63/0SczkS/jCpz+CTAtNdjIHeGz7bqxd1Y10Mi4p11x+Aa64eKOkS8JZ8EgcPgtHWcIhvvfjh1GuVPGyN/wGttzw7ln3a3/4SUm/5NW/Kmk3v+MPl1Db2WOprHLkwWILaLmb0xritJOsV4H0dlPyLuSltPOgIwEGy2f8PdLW6u9ktmGivYAZq4psJQLhCrAdd66jyFI1RaKt09DoSp7/0MuR3GWgRajX5gu++shQ3Z8iLkAfT2OmQowWaDEjYFVaQOtTpGzVrsnATiprr3OBTd4EtcZGtesS2hlXAvXalLpZK44aRLxIGl5cDXJeVAEHUdUlXAWWAk5KxuN44UcRmS0yvgOh1iunF3TpLLzwA6oP0Q5YrbIg63LGcg/M74HQTrsbLKjD/DAdTrYhvTEMwQCPno9G+pmM8xsnDLoLt4oXE+gePutetOWY7iuvfiV8WvCXV11/TN5ChPCahJrxC/Et08/tHgjvC9c69r7glnsEMVhTBzmKgbKaEzmxa0qZrmi2YRYdfgKR8Z2wpvYtOMd4pRmuBpFMSoZL8UKgiIEjY0KVd1pboE/mIeo2XBIC2bxM4aCQ1Wl9B1C2PVilNkTp/maiQbIEh6fDPa2Up7HeBMxT0XCvqfa6EX9Os2hfHBPPKFIfge16dQrWbZ8DahX55tl210RdF0iYeXQaJJAo1qZ+Tzwi6QMNGu6RVnU8uyizpNeeVoug8arqXyayeYyd9iQSwsQqRpqYSG6lodo94Kp6QpMoF1J/UPbs76qIBv54KvMxqD6bMS/ydKAtfiGdSkxVjYoSkSRno5Y7LxB5wVq5eD2mf+4a1Nb1yHsg/uReRPYOSP76yg48Vh2T8Usj6o1BmWjifa/iS+12BrzfGFcMC4HpXyt7kpe5WCt9sXNinuM5fjNgu+2Dgf53JLVj2HNMIuFUCAOHjRJtHvm0Gawfw8dgrDCiMFt6ZF5qbEqGoewqE/O8xd5uYdGYHdfLbl7RRZOVYOM6QnLmfEbh1mAW1KaITeA857OmO4eLyQOcf7Zc+LaJXg1uxODAbJaIQQkGFhigCMhzgurEbWh1XCTqfRBmK0IwN2TiMdVFidYPFmKjNWieDjceg93dFrLIkD8Sd+99Gp54SsjX6CWRvHCcsNM+7AXMV7Gy0dpsF1jT3aQjxZ7YB69HbZhqAwcQAu0mjSf89qpZjcO74AbwZiYdAl/Mq01W1nj8YmEXPjvzDMrVClpuuxeZb9wH0d7NbEhNjMvwhe7x/c2O7/fGTRaOJ/foEEIgPd4Fvnbs+Hzb1f4FCoc41dzxGL7zCxoG79GaMyxTz5keMIM53G5R89liDav2uCj3uZIlsV+HNaFBf+qn0J95EMaPvoblvxdmD7DmNLe8GZDbqGk9coKge7gO9owM4g/t4kNgbOsqTOl1ZPw6BP1rfhqRPAlPdPt5UQ35WkHynWmP57HbSuqtp19LX0ByCLWh4aD6Am+as8xtHR6RnLoAri3HwHMj1/e7mMIfr70a1UgKLLcxU2T/IATNi9GdhzkpteA5EmrQTypxBbksU+e6dTR19a30sWkT8BqShTk9l2M5Nb8HWMmav+F5/yPBIqKBgYF4NjHOpmW+/YOf4t9vuxPXXnkRypUa3vEbH8fo+BT+xx+8ByXCkweGx8G8XHzDmpXS9Axruvu+j8MDo/jJT5/E5g2rOfusuHNmJn39q67C7//624/r/tvbX3dWOmapB2EbaaxRotcAc96CmAWgxG5jtirmiRH4PktoEmnX1BYQa7nTXjTY5ihrpoy3FFCBAzYhM5RQwLFv00hBdUQyFcTzWRiehciYhkRNafyU/EHKBS2wxmQoJttRcQQcy4XQhNRwJ4kZFu1KMkMZJgd4ZroI0A3589gDX4+CQTyZQV5vXGmbDdHNTEn564+uA4NeIjYk0zWSYx3VRITaP6dix93M98tFDreFwX8+SHrnrRwc17nbrgFruWuFKRgPE+h+3BIvKIblxp7BHtADocEJXhsPD8ULbb4XGbDVAu3rMC8MzYICTsL7P6Sf6bDSc7V8XsWLCHQ3ymojz7XSx3RfPXMeJi//II0zCmw7hqEJwdcjxN8uc/SyGhtlYtl7QfWAEVw7d96bD+FJ2PYkjHoR1Xoaw/WVIRl7plTcoHlllkgRQWBafOBBiqlfKEyrVIOfH5cJO6buIZk4jifGByWH39aNxg+mmsNKUne6smCAozYp2cAfTLWKKXhOFMm4iYVkDMV94v5TAUC8qaTRQgKyfgZtTrQmlnG4DGvPcRi6cmCuIN4FRI0pMDiGWkWC7c6Nt+DRYNMhopOsERZaIMxFlFwSKgQwW6jhzn3GaXZ9wX1wuDhCMo/NJNxTUTLJpdH2OYuxbp1WhsTBgDHh1WDwOS4Eeg0lU1HW7C/8eOr3GhH02VwVCftzvQHMB/MVB8BmZXhRxxsArOXOdC8ZQ/Hai5B/7ZWwO3NMAm++bM8JMGDI/OGiT2bO8yY84K4qeURnwHu9qYE3CPh8wk0EypI/5n2ops77IlOd5x5blZUMJ+hxv32xpOq7nsRCNsHTrArfoHsMBsqa0sQQtnsMW3j/RDvXgGt0+HHxXNT86WN4mSDoWdUb3m7hPjMrOuAQkOsX6Z5W50d4MLOfkKu1bwHPNSYB6/Pnh9AMmZ3qJdk4Iut1YgpsXnC8kFwn74nBg9CGDi25AifhS14zAOFkIvBWmykZC+8/mQi8YuFeaLXnEKt1QTc7waC4T/dzkC2Dgq/aYSGD6FAZ/GevVpskHA/dU9uFvI4e+Wy/lgF4zrOzHmiZguL56l5gWjP3ocxWXHXh5WhJZ6GXyoiMlAh0XwMeQyJf+TTJ8neCZfqIWEkbnxcjofZAsLM2BX6+EsIEm6fh8J7qIL7x0A9QKeShz9C9IdRJRex6s0O/IGnhNdeDTRYel1PPqnGTTyhezHAAG2UZZnrV81EcUqEkzvMm+O0EupUWA+XnFVlOPg89oNE15+vNMkI4jh6vGZVVR0H3JGEUxp69sgg/U8grmUQSlr1zuQdm28bja52Gs0QCaDRpMstAkdCszN79lFjij+dZI5Czrd0zcixmOaV/YxcSmo04YVBmyYSumxAxOrjQoGkanOr0Eo9wamxfzD8nK+C3othUjEwEnnBqCHEnZ94aPvrsQcnF58LKD52EV/1JahtY3uINac7kDWoO2RmBnK5PFDiJ+W9JTwZvF3R20YApOeZ6N1zn4/JLPDTbDJnLuZwKe+DNr78OuSZKTf/7H76CG9/6O3jDL/93fOYL38Tv/tpb8Y433YRCsSwB9UP9I3jTe/8Er37770n31vd9TFb52ldcgd98zxvx8b/+Iq64+dfx7g/9T/zqL/0MfunNN+Fs/Wln60DHO048FsGKzhze/bbXLupu+ZkbjlfVWc3/P9+cAe8Y80Fjh3UOZl10QJf20lgYmr7ElnR+jcucB8zLjMCLix6kxGqwFsm096yksm3Doa4pOIaLtok4hpIl1DRPfqRCEwJGsgyzEoUIpOP0kTSi6JAaDTP+HlmX7pioTKYp7iOeJpfyZd3FioW2akzG+2kRzqZi2CV8B5swiUrXttmFBTNFdQ1xcvxB1dCmatLMUHsswJqBrtWRMnVU86p+L5KGE2+HIADQzAdSMVd0Ai7Ubue2MPjPi6HFXvmdX7X9pvdJkv7kfUB+WZiQnbHsLdoDGgHpfM+6Vsuc+z8s5ATgTiiMhHQOBYEBgu53BuX5/mfa2XQvNtCdBSfuv9PZlwy6c506XWcOl90Lrwf4GeVW+0aEg2OcPqXmz9GKAoTYtiUvSCbsdkxWW8BzSCOgxmB7+NxyZdbUPg7mOEHPtlsqwPajBPSk5+Qtlgg13P2V66GTYMi8DLaaQxMcBdtvr44LMIAc7aqjbo0SOJSm4whobbSACbRBrUkNp/rHwGto/mRzSZfV2W2eDE/U04tCFvHmXYKKOi3EzEkJtvNC3luzBQy2s3zB8oNn1BDRy3KRIytZwOtpouHOrEaSfaAabFL4/OHUEslZBKQdClTfH62OSqb5tjhbaVHIGdwX2+vq3NnMTEydDmfNuvDjqbup6lliQ4SB58EAQ77I0pALLtGkqnaWk4FzBt2ZwFruHIbOXpFD/uYrUbxuKwqvuhiP1VW7Lw/scKjghgAAEABJREFUbod888NwE+DKiAAD3uw2mIrroeC8VAr4UlE16HV0kszP9OPZe2eehRwD/Wy+pkcXuJltx+BYTm4PU1OEso7rFXjCJ1A3aCBnBC7UfDa71khKPHh1u45pNPsL5wSen+fne8JBCDwuFYCaX4eTVm90xoYfn5NlBfbb3eCVcs50gnjjWML00+JqFVjf+TeYX/0MtP6lISVuUsne4bPZ2I7wbYnwuQjzRqr7MTN9p0zm7BshNANusEaQxMAreQMyltB6YB5U8ry9coWkhd4kidj79gt8b83DuO2in2Cy4oABeM4vn+di6so6jnddBASujq5AZdtaLgap5U7jh0xQn7ibLoV++dthJuh+MQzoBMrHntiDr5XUmP2aeB/YPM0nWq/CtnoC1+0qYFc5j/3TNWhaEpbQ0TU5Df7YnqzzBe7Nv+bxw9QnNRAwpE4sWlJzVWhuKdEuaN0IOEUg3BxVnMrneWjqWSETHGcnE8veOdcD1oSacJxARlhqAxl0r/Z4EDRPJOuX0zOv7pFQVllqPct8z38PTE2qZ7W1iUmTsHWbNql54UTMyoQbzCjFEXluCAxOF6+7CIfsPDJ6DborEB2Jwu9Kw/Ja5KF8S4NTr8r4mfTYXNjs5mqS5oF5BxOlUYk7OYQ/heu9kCW2Q20c81uGTlbd9yumbHw0d9msPBqak2Ft+FBm53mG30p1qU6ui9f/dqUGNhfD6WSC/WV3Mj3w41s/hfCbnVw+QjtH937jb8F0TrPj+LM/+X8I3e1f+ku85+03Q9c1dLZnZ+lhPodcB5fVNIFf/+Wfwx1f/t/45r9+HHf+5yfxoV99C0xD5+yz4tRIfVYOtfhBbv3OT/C1796zONM5mDtMq6r7JyuyZeaMAO82g/70kkA8AODLa1zwh21mX+OiHeWQj1iP+WW0LZJW8A/CRgnXxXqgrXDgE8ieykcxGC+hYNWRLFswBLFmpxArJ6HBBP/xBJz2zuMoWFOeIy2T3RillWFdc7GiVUeSQHefMjTTh2mr26ACA09PkQTm+3g1DoIBw1CjHA1/K+bZVHX0NmqnDj86TsKsC4Oqq0z7syXCwelkFiRmvn+OdjsPnJXgld9Ygzbi7MGaRdJZuIFpmVDTrhnbMu1F1gOncDo8kXJxNwDWOd7oFjOVFAopzgJlG+s5U/FKg6Z75pkvIbn/DmgvUHB5MdMBJ9t/IWCil0dPtorlcs9zDzBgzk1w5n1jgWnsvBn1+uuh0iZOorfHR6jlc7CgADWeXziTwyiBazznFda/gUk07yhwSSYCTyuOwXV91I0UlipcS+12Aom8VI5AfkPW5OTScvFiDk/KtL2iFcUjPJkDXtdB0CEQnWmHTv+RrI5ahyf5zHFNhqfiNZo/MYPN/3pO1X+i9QpHtXn+hymlpr7jILnj21IT1Wvrhn3jW2T1dwxOyNAylLZlQjNleiGvNx6VWY1v1THBCgB3LzBr47WvQFvVgajXwK8GN5qTuWwecM2mdLgONhWzx+EYsNVS56JSR30GjRlUZnD59iZa7mwPv0wyE/MQlo0QcD/iHJWBwtoYBGQtKl4o3lM59v6qre2Gm0vjkWCjoNHufFhHGPJmQaixHm4KcF4Y5zzmYdoe25/V4n9FVMNFdK6sCc/nNF8TnvmP57je75E8yXxvjjfvN86LCUFypI7xiIVJXS3ChZfgrKbO7KDNMaHBmXAQJ6CWmWo4FnQPtcndYI71EjFYNQPCdeD6dZrrIP+OB+xKpiZemeZPJrNZmcZ5M3xFvZ5RQDDzuPF2OscoPdt5Om6eSafNmY/8AFp+lOotwLz9i0tSGAmfRYPWIPMbEoIIh52CBJv5HvztsXvx5NjX4PsVTEa3IeVdKIvZ877p4IE2AqGuRUqsmgXc6/NeyX7kUQ3P5g6h3DGFWK6O4cQkGIBnLUw0+Xt2p8CtX9Nx+MixmbX1vbR2iktA3Yz2wrniVbDf+D6ILa9CbKd6e6W6Ra11/Cd2YXhmHAlh4nWJPllZux7Dnz1tIlKJwaPHcdwoARE1cGQIpJdMLwLPSajx26BrbtKYHh3QwPpX+YtseXaWF4PmmGh8llpWyyxM71Fho88gfCPIXptY+BlvLDc/7qtmzScvp09jD/A15+qc4M0Wji/VldY4cKwCYQdxJDI/D6Gloe1XigpLreNE+EzaHND4OzXHuy/oWZWmeMsnd9+dSJteDLzh2JpMLtxfuQykDfESDYFLNStj8QYzDZzaOF0Q6qjytvVgRZExtwr+YGqE5AprKgKRjUEYgFk0aatUoFTJo66GHip1+n8s291WVJur72/ZgjiN+fOPopGszjQnvZKDWWcOTZKMaMt5xV6Rg9umAHdjeAI8XzDo/nOJ8/Aqwt1Af+YQ7SBTGP6MibyM2im1hqiOjcl0NosF3y6QDMveOdMD3V1tYAD+bDdIO9sHXOh4687rBb8KsFD+uUy/Y1cFbFqG2xiC7Im9NPoQgXeQ7WDnubLKBb/2pdeA6CKmZUwkkBEKdB9x7wf/9bRHUInXpFa7VTewOzODZMlEVNchkiUYJFAKoTMrBC0g05PKxIILGl2JGqPFe7FOA6FpI5fSkVBjDAqlBFrLEeIA9pRc8KveghaPGzFxjHa7ZCKvJ674Q5uqOU3DEbMXPhxYyYOI6AKFoaMz6mLgJFW36K9Ru93X1XHDV34ZcAnzF62EMllQD03LmHd+lSjLv+UeWLgHzEK/zPSiLTKc7/Eim2l6WU22HA9dSHMT6hkM6Wc7rBBoUA42pxg4yD71zxJ4N2kT62y35VSOp9dnZHEvEgxaMnVqnh0IS+HmyKnVtlz6+eiB8DsJvm4dc3gG3aKFEfiewGBlHSxiybX6CLV8DpaVTXdraq8sGz/8ExnyW1R2moAdAtEELSqOeVYI/GJGJ9bOwfFdfgoGfz+EOP3e86BPFSgGAlVTYE0Z1p5xA/vt07tlFtDVD7bfnpjpRJTmdAa+WIYIZYfFNuuDGhYNQvMnG2iZbeaFBGbm22petIKGTJZlODkf2CwPCWij/UjiCDwG29/0q0AkhqrrgTXcQX8XtkXJBy2WdBku5EV1bfatOi4f8ukRX0brBRVy/ZujrXTNXYxXpmfNyfQZKTqGKXkbPQbIOc3ANIfrTMFBU/fmuCbp/HFSBptlIvBCe/gbgvI5kn84K8CjOTrHvTmptLG+Vmyuscxat+NeBQlhYv5r0o0VhRrrDKC3qubJbI6HGuzfCzYIbg8ac30UiAWnuSHokvma8LKS43iNx14fnHezIjERHIwyhV8kHwQgk4AqY0e98P7RIxkYuSw8x4M/plbsdW/ugpdLiQANXGh+FsFGkG8w94k7nmvCOcLMH5EVCLdGm3BKLnASc59/JwD+w416WWCet6QkvwY/uVfO05lHP4fY/V+DUZuCFXdhTh5C5Kt/D9CYslhdLgFvfN6CupldIy8DCmyiks0VfWj8Xnw2/yyKbgEXYxKct67lDTACkIvHncayNW8GHuqIogOR/inaBKjBjVpwM0fn5eFhgb1TVWzv2odEHDAMH1PdalP7jh9qjdXJ+P0PCDz2uECl6uMn92jYuUtI+qhbwT/N7EDRq6N8pdowjW4/CH/Ly4HMCqR+rN48KG9bh9IVG+V3EEbcMm7aVQJrt4cAjDk0iereSURrWTzc3ibrrtQ16BDomppG2adOktQXtudFVPv1oobQjCkrePFzJYFYX0e0lIQTrAeZO9Xnc4AijdUy0uBJczIN6cpkQ2KJ0SN0vff+p466euyXWGqZ7UR7wKANFi7DMgKHJ+rKw/8FzytCZFYhmrgC2gDNS8cZY070GCa1Mb3dROIZAxrhpNEhHYv9xQ7rYHc8vsXqeCnl8VtFfL6ZjMfBgm5VgD3vpUu8IFNDBm8w64Uy/GoSbH6lumWVzGX5JKPVYNA8qxd1+JkY0MIboyaEJ5C0irT5eebG1s/OPCtN7m0yc2Czy7JR8zytNCIpTkyN+zJBXuwJtcNYW99NKcjz4ogxqWRzngffmlwPk2RvppsjavBzeUIjgnV4lHyAZQSOjO0f5wDNPpgqM5a95R4IeuBYCSjIONvBW99wA9gYPhu0P9vHPpXj5ZIaJose7q4pba3IiIbEfgMmLWTdCFDumzvosMYBC8ORYQ0i+EBas+OntNUkFCZIvJ1GwTuANyXWYqItD0f4SJQs7MnNIFql48TL0GI2YuUWEiEFGODn+tKHWmjB1sNR6WITnajYAnXDAw/KqbQgug9N92DWDYoDh6nBZcfFRjGJjXpZfixVZszzchFTUsKFc0wDxsw2eMKFYRZhatQONQZJPofAC46E9rQ4vhRnEjBoFvrBWofzNe1La14jq4iM7SDBPy/ji3q02GfTMhJ0px18/SH1+uyiZZYzX7I9oFUVyDt/sg47hEE5vi95ga2Xx0KyDI2ympAXKiuZzpJXIdB9aut75bPM7WXgPb3rVqR33goGEM5SM076MFqgld/MdMBJV0oF/WDzTqsvYewg/uXfudcDs28+JI7d2Jop7IRRr6FYzmDaa0M2A6l9kqOQNVEG6ysJ5AF4fuFNW4OeYddKy+eEzzTUirFYw4cJgfMD++1ay7HHDFhUQAtW485bEfm3v1QaYzT/sEkVYyIYV1pbYAZ2Idl+e2lQQGKIVh1a1yjMYgo1AkliWRMsL3ClTrCY4jfYOH0yjnFXtu8dJyD0soIuq3Di/uwxJGGJXgj8k9gwp0S9CLhlB4ZbIqDQhh2A7cz00Lg6/3WpOIp+jUlo1+MyXMwL36rrL1dn2SI5Fa0HZm041Rdr5QCHKuMIzWZcF5tr8kIykMfANAXyx/3Rq7pDpud760nkYRC77PsIQeyQZ7fty+iFxMORsN4pj1PHOn5jkbXcedHKGsbzOR6rqfmE7c7PzwvTjRrrbCImpIdho5b7gzXa5HB88DkyOB/y3BDVZHQhUzkys4nXWF+zYzcWYdkQhoZx2vEqCVtmiWY23ElW5kxBC3iti66XL2AN1wHPRV2oe4bzQ2fMm2O9VBRWxYAgoN5FCXqN5Vu6D4NNmbDciYShzBkL3qQMN2cZiA/nj7A+lgc4zuMJhyfjBAH6kYc+j+jOb4LnaXHkEAFhgLNyI8TLLoeWi8Ea2oHYl/8KYmZi0UNIkJU4DAJgKZjz22wFDw5RGbD4baOKjWYGbdGNaKnQOsKhYwagPbHM/spCvZERFe2wdgc2cLuzs/kceeppgft6noaZtnFFsCnprppAIgGUSpgF1Fn78a67hdR8p1sDa9eoZ+iRxwSe3C7w9dI+3FXtx78Xd6O+qgP1vk7w6/xsCiB9+8NSQ5E/NswmAfi4z17QiSMxD1cdqeFtQ8HNRBnuT/ehWBI4kFsFkeomCggArkIXAi3FMsoenaykvrC9cMNUr4HufcBO+6j2uPKkGHQX0BGjOcXx6SJA/cVX+DCSdK2LQFVhSjKD56LyMNVjAa0XSBKchjFWURb3eS7jOoaKZqkAABAASURBVOyyj3HaUFmcezk37IFYv44ouTB9vFDQ7cvXnGUE3mg7Hv8x+bUKtLGDqBS+Dz/ZAj2pvqarDRAqfgzziRO0qkCagPb00wbMGUFyhnrOowMLT7Z8TrFBlc+WAk78qC+9EqGZmJwSfxbsgI0blVAS8i/ISBk8H5lTQ9CKFfhuBqWr1MYnZeGQXUBGryNG919sJAavNQU/HYXUcCfAHZbA4CQNLMx8mh1/p+PR2ijhWyZYu32h6vUJdQ/bDRrurODCALpvmahuWS2LuqmoDPXAPrtMNHh6ILPWAoA+5LMDpa1ouV9y5+ZOhZJ2DnvLTXseekB7Ho7Z9JD/6+/+A+VKFb/2h5/ElhvefYybKRwVFJpW8DwRb7pYPayNWu7RAdWtpQ0OTTDA90qH8KdTD8tXOFn44de4uLnaXoAnJI7PdyYSyAk1+U36O9Cux9DRY0InUDszFSdw26cFrQYjOwOD/iM1kmihAH5eAOskeOXySpMqWkzDcSyMlXVa+2h4Nj6EPclhCdDbxByvGVQSqFA9ghaUl/ijC2q352mTwP9pHMSGCi1uuCAvVAf0FeCp1EgeYBJQUAH7XoSOT6C7aKYxyAwLOAZCOKvStY1A9whHZ52d7kWtbTN0AsziAw/M0heNpLNwb7xFshgP3wlt56Myvuwt98D8HgjBPLthsp7Pw/cl01K7v4UQGOZ0CMA7TYBAzj/bjp+/Ut/1mNr2HrDGu6+TYEQbWemdt0LQIv9st+dEjmcQEMr8bqBByPHT4ZxAQzGs/3TUuVzH2e0BLbh3+f6ef2QxvluSBkprZbh2jSdD9jad78GGhSNFpe7DttuZzpu4NS+CH/1Ex107lQa8EWi3cj47b1ptpomWuVoznCddA9Cu73xMktjecO3tH4S3ZjPCjy/ZXVmYDfbbS8OSFdY6BWqZ4+00nwqYWU1lkF9vVedwKoB7qM3drQOpQJO13qbqpUOc0I9EEcnvGzzzy6j0yoOA8DzEjSF4VgygzQbQH2unPxIsXq7ryEp5iMhoo/GIw8VcjEBbzg/fquN4sGcG3xaclG5V8FwfLoyAzWYw8bJoBwfHuB4l9kj6hZYMFvUaQexQy71Cp85maRjMDj+4GqPmcJrBec5vVmmo5f6lwm6w+ZtGnnCjYL7d+UaeZhrrjfkM+vMGAdP+Pfiw6WupYfRjknQst/XoAmxW5unBAZi3/gO0QWXbVDIEXr8LbK/7uL3i4fMFD18vq4w3xoHG+hR1rh/m+5pALHhetSad4pnUkVSUwRasI7mXAFExUIPwPdS8acqZ+2s2x2q2elb46Zb1UJH59yaRlvyrZ9fCpU04ljGtqX2wgs03t8m87qTUWKKX1Piw5IM0MLLyCJwqfJKXS303oFLJwE52o37RqzBz4TtIdn0zRDQCY/wQEl/+BIzJY69VWF1o09sgkCukheEtybV4c2It/rrtWvxJ9gJc7ykN/kryGoQAl5NR1yMsw2HBO8gBYuiAeXhIxusNgDtrt//YOYTR5BQ6koYEQ8KNpe4t6qbZsUtgZESAtd2P9AsJxP/MzR6uudrH5ZeqY24n0P6uI+qa76hNyeOUQi33Zw9QG8twcmmENGb4on8E966Jo5XGkuQT+5gE7BhEefckbM1E5obVOG9FK/gvn6BdV4pkeAeAwhfDjwHXcJOF48XzCQkLTsxu8eVaz6pHYTcA7pydJNCdw5k9GgfSFY/QAEaxzAYg3uVTjNaG4zJYslcdF2DQnQtM7xEoHFJ1cnrZNe8BHrPiB3QkyHG8OddcaigL8Kb53JylpbT9O4BaBXZnGmx7WyRyEFoa+k71BsnSamnOFTukI/uIKYF2ghlQ7nMxc40Nn0QCvQZERo7ec401REZ0hOcfho35y/FjeyAcypKJY/MaKZyfzarNzyPBc96Y3xjXanmaa8bhe1GUt54Pl8bcML/kFWCSABiraNDq5DroosYNWGWD5myN7iUBh80ThwVOU1j2bfxj/hlZG7/J1K7TcWVqrieqM4BTI9woCo/mU84dpz3qwj2HOQo2Vcag+7BTxg+jeWqvKecVBuQlQ4NnBG+lMkDPWu56qQx9Mk+bmmrOz9Hcw+xZNa1wdNkt90DTHmg+4jVlPbPE173iSvz+r799QReNWGe2ASdZ++XrIsglNbCW+9fDLydQXWxixs544I9j/Xt+Lw6O13FbSQmCnFfr8kCrfsSCnVwqcswvpZ0HHQm4KIE/fnp5X4YmQxfRQgzRACSPpivQHYMEKgM8qbGwVeukFRLVlh1dCVOkkMi3wvEFRnwHBb+OW92duJMEY2JBlZDzRNUCBZxEHA5ero+j2nWJTDd6rAXR/yOB7HQEguSwRpuq45G18KgViI+Q7yEwQTpb3CXAnRPhQonji7nFtNvDcuWeq2U0Mr5ELXfi9nrXwLniRooB5r3fBQggkYllb7kHgh4QBAzo9RkwMB1O1kHWnIC1x+uZtXLTpxG81mtqt2mxsnMqOksJ1srjNk9f8EtgIIHBZm73GTs8r7FonDiV+lno4/JetIWD0+a4L/j6coVNxyTOWHbnbA/wfSFoA5evIV/L+Q2t5Q/A8wSGqmtkVl+fDKTX1SUD7C6skzycslO9JED34pFHBQYGfOwa70WxGgU/I3ws5mHnltWz7cSag7i8kTsHaH/XH8LhTV7a7GVhPvz4EtvBNBvst7MJFq4ffQfA9tutfDttf2uwMroks8eAO8/vrCn22XEPf5X3EAK/nL8UF5qTuZmQUDOwB89yylLKzucxAq3HENwL82tTGnynjqRJyHu76uzJmo2/23UYA5UasqaJ9el4yL6kkDXimZHr4ZBdaMO9HpqUIWI804n2motyvYQSLc42mTnEhUk5x/7WByA+56w32F/cNYLYXyp6knl7XYW8gUFdKmnscZrDfof9Yx1ruV8X7ZZt/MTkowhBd15Qsn13LrHQRgHj1fyWAvM0aqxzutG9LqbNJrOawCuiYjYdRm6IUszz8Mju3dCGD0N/4m4iqB9rsv/WpIu/nHHxeTrf79GBt9s+eCNhnSFwVeRo/arEsT73GVPHo1HYIs9R2pw+th1+cJvrNQFjxQriE9AIcIfvoo5pzP+bP8e6yRgMRwNv9Lh03fXg3nSSpzYBVUKTbGPP0oJcgek8589vjxNs9BjlE0QmGyqypvbKVGX9a1F3WuBPEEJAm1Wm2YXET5+DGGgDLng7jQt9sEaA9K1/T32p+lQWbPDswP56aN+5IQsRYeAXihvQrsUQqTxDfVaFbfbBiVC9wZjgJNR9HZareGMk39ehwULcycAcofMUPpxVK0MW/PS5Kp7q2IcE9fmvZ5Rd3c2RrMy3eyewdo0PBobuuFPIj8wlEsBrbvLAIBAzbdro4xXX+ajFyxixK5iYFBilDYid9SnweMka7czHoEfhVZdIkITTrPHIz8wT69LI8XcyCBCJ3L8TtZ+o/qxevRF963XYuRSzozoxCdGmtN1TE2OS9mLwXOp3Po/iBges2MVxdqz5rAkT/OFUB2UmzbrMehUt0VDNMQbJp9VeNZIrfZgp9fx4dc5duqvSPklG19Ab1WShoQeFDJe9hXug8W2UxvjCJQCjpMlsm7AGGTlBT9+hlAK8tVvAY4YfjUPTW2ns3Q/UKidY21F2c1qT37BjeYWBdn6zv7LKlQzeOhkguoCWe6QBiG82fqnSy37YA8WSivF4ajUXdRRD4K+jcZij99Mz+eR2saCtdWviIITrwhOtYLCZy7BjGcXSStDociaHY/A0E/dhHF/VhmBOmjSfCPj03B+cnmb2OY7H8q8W99KcToUbcqbnDTA86nyttA+Mn/FbgI/VRsEy0m3F/eA3A9ks2puTaxtqmBvVZ45Igp3qkWHdBu6+04P/2CGUy3TOKzsk/Z/yO/DPhR04kFbjkzFPy10nYJ3ldjcZl/ONs0LNZ+YwzUmRNGrJXjCw363vRa6VWy2rXfZe6D1whtqvRuszVPmJVPuqay/Bu9/22gVdZCkjyYkc8DTyvu3lcVnbI4c9DMcduLSIYS12Hii+OdaP9rsvQNd9F+KRPXV8v3xY8tYDUNyYVg+6JDbxOrUrJLXgHcDmXAbRnAedZOG2obSkRzJlJGayJAib2B/Jg+0YMqDPmRGauFbar0LP1OUYqTqY1KooRcvwTQdG2ySoEEBCket7SNUtLoKNmITougDzQYx6ESjcYWJLzMQVsQguqqZQdj2EC+CEEUOdVc6sceh6HVFakBVHfFknezYBGhyGiwqOL+QitLhJ7L9DZrMW8fy2yAzyPB7w2jZTDIiNPCHDpXjulTfC3fZysEBh3vY5IE/S4VIKLvO8JHrAKKlFmBtRC7TFTrq49jUSvGYtuOQ+9WFS4VaJRgtmfh4WK/w85fFzk990C7UxLQFF/qDq89SU4x6W+5WZXEuNdxw/Xc6Jt8mq9Fpz0EJmLnvnZA8I2hTjhhUSGvrd7+OQ+905Lj45Bqduot8+H50kWzeKDwzwMG3M60O16tNcF0VxzWvw6GOaNHHA9bI7UCRhmiJm/gj5gEb3iVupo+S1IJlV86XMaPBE/wGZqv/CB2eBdkkgzwiEedbO1IoVhIK8bcVQZg13qw6RmwLbbzeLrYiZBpykRyWP/nhRPE1rFZ1Abf4o522luflHOY+N9VM5BmrjQqDP1aTpAV4QMyBzLPfxKcIRkonrkJHAY/BGOA5MvQifAEOWEf5u15FZsP03N65ElOQOXjhxkXY9xsGiLhdcwDka7sElcAmkDQt7tKHeUXOAeg3wPCwEWjN/TmdfuYssTUWO4zOInSXwmvuRAemFPrgaV12DSqjJ0KTe97dcgPmg+1Ht9hziwmxSCpjwFJm102PBcRRlrs9g92WWYnhnQoVzOYD1pgZtZgJPZVZgnOe7vFok30XPRagZz8e5yBRg8zG/mtTwhy06fju9tP6aPZ6hw/GTqGnjhKE7iB3SZ7M4EgKEgi6d3r0Cth6Fk3dhFurwUEcNql2gP+HWINyqfG4Xkg1FeG/OPQyVPrGfHbzhxtrtZqFfFg7BdZkIPG6HE2+X7TqZDVwz30/nSvUbUbgtK6E/dZ+s2dt8JRIP70Zk74B05qAHreMaGPpqGATAJx+9TfLN98IPp2rVY697Yr+B5B4dqZ0GzMoeWbSWuEyGBoERHKm3BjcZJ8hVoDYbUtpqWIdGaOyqwdVtuL2rKRcYHhb4pngOtuHgskwWoV3d8C2Nx2pj2HqRD8uS7FKzvRFsV1RgJYG8fddN0hqCxPMaCBwB7qkOyOzSVZtR3bQahRsvBgPwkkgeAzMUSNvtxZuvpMdeoPzTw/BnKtD6cmi/ToHr62NpjERjcD0fbpEqp0JmYYb8c/+3lBYW1zmYusLG/GvHc4iAkIA7P0vswvpCszKsTMVrPNZGZ9A93gUkun1abypOzme6Sh3fr00APREdK1t1pGhsdWj9OLpsWmbRjgvfLmEmY0ZwcFxnBPiB0+ICWYjeAAAQAElEQVQfl/cYhho9HxPqTRV30yVwElSHYUAPgExt/7PHFFkqIb5fl6yVbhcMtIfjOxP9Hnr+IqDNAgGTgHmmhY7TRkmAZQqXeJjebAxj+rJTPTDMsiNFW7N0/Sg83o/HWJZ/63WA3yb6yn9p8o2jYRrDG8uaU4MyWSOZirXBZYK8MZp7M4TxmA5dw6KBcouBL1V34gljGi7RhK8BukC0XkC4GcDfpfls/hl8fOoRfL20H/9VUJuhVB2eLB7G7Tv/Fd+f2cVJ6e4gnOy24j7cVtonvzPyyekn8ZGJB/C9snqr653JjZJvIU8L1vB2Wm0I79gp0D49AtOzsbveiql0DrxRe8AZQ7dRxlNJW1ZlDE/IMPRMAtY5zmYfObS7chzMvp1azl4g0+e37EUgosr0srfcA816gJ6MZuTnj1YsVTA2MX2M8xdZuDx/rVVHXrvCxNouA6zlfpdexvRlNRxEAbc9PYP2+7agu57BCj2O1J4efGP0CHjwcfiVTRPgyWWxCSUq2gkXt1DHNGyUsKEzCcEA+VQcGi2czWQFumPAh4Yf+ofxqamnwJMbg+516rPqqIaRmTr2F13MGHWsbjPBWl8VDYBVpTqppCbQXVMC6E36MBq127lt1qCO5I8t9AoNiaSggkBvVS2SJ3nrkCh5rR15PUWLoBIMs4SYoaEyfXQCCAe+hTSAGMxIHL4bmSf/GckDPwADbQyyNbaFDnPMr9a2RdLMyaMDuCQcx3Ou/Rn5MTetMAXWSjwO+3L2S6gHwgWzSwvo4502L7RD8Nqa3odksFHkBmDu8co/X/kebVaF7eY3RMJ2P1/tWei4WnVGZnF7ZeQ0em6CkFiqTy+Pkr/8O4EeeN5ZjcB0g+fmsf6xu7H26YelW73jMfTtfhIaAb7lSgvKfgp9BOLMb/DaNR6mvTY8UnkVCuvfgMefa8EOkvcZEHrFdWre2ltYB4eAO2tqnyyuFcfg0Zxa1tuRTEjSXI82brXCJNiEit/WPTePUnrwaqqbSyEU5O1VnWCQg7IhOsYgLBvxiW6azwWiKZrXDc456hhMGfcEtk4ZiNP8zxrHbOrjKMfCsVAbm02NtExokpHrk5GT8PQA6HYjqr+4CgZlbAJXwDKKOYRJKwkG26dsG6zZzmB7LmJKGYj52eQEh8dzrVSGeaou7RpwhFwk0CiqUZdTcva3KaW0mkCg+0L225k5BKRfG9OwGHDNvKHjMjcr0Qe3V4Cn6yrnQkuoSOCH5mr6+XWFgNYsmA+631NRAMhiGwV7bdXfvfPujWb1/1JCw4fTGtYTYN4sv/3gDmzo3wWh6didXQFtfBDfm67gtrIn2V9HHfNHLRp+NaXhZuqni+g8e3WZtWQvp6m+mTQtlIyDslz8sI4EAb8yEXgMsnA06goY3d0EtGswhqvgP7fBFAbLipIWSUGrCwkcW5U2RGghDdsjmbYkN5OYh2VhDk/W8bxTa9s8W9xO9ZKMG5lNN0bcQF5g8LyRvpQ4yw7M57e2QM/vhLbvaU7SmKCABSeXRvHlF6J05WaUL9uIencH5QtEBibBCiqUmPMLN9F4fSEIBAkzTQK4ooHJy8i4jehgBr4WRT26HjoBXczLQFd4LcJyVX9MRuN+D6wjQ/B9F/XWKHis44xvHxzF4fQI2lM6fj2jZHKmb7IUQMGajTxmvvxlPjasB97weq/5GEqFxqwCMgQgbplYhVIZeKyqju3TBmTpqk1wqS+ITf4YNGHt9oQw8bpEnwTii6t7YNM56zoQe8VayceeGfEJcGmjtgN+8MacVSxw1ovDaYBH5zj/ZPhasjOcCKLFND0f1KkNTMnArEzhkEDhoHpWM+vV889sUXUJUZtQeUw7nisOCRjEpEWAji2qrvEnBBjUJ/Lyr0kPhPMpZ5kzdDE5sojjZ5Wfb2bhTRUOT8RpYzTX1CrwuteAn+MQtNdb1DOj79/RvDqHHi7azG6eCbmZyu3icST8jsB8XifQyI8QPtGYF27EMlAfjt16den3XWNdL5X4NI3pfK7JAJvh+GKOx2He7Hz1q3ysXeODZd4RWgL94EdCKp2EZVnDneMhdsNxdofsPPiDqXEpG0dwJGag5NsQUQPWtAX4Ag7JSOXEYTwzVSTA/Bl8aPxe3FMZBI/TXMcjDSYQtMEHcP3UEfTu/OqsQmqoePC6+CpcF+vGZZEOsFY7y4vvSG3EpkgWi/1pgYY7z8kMUe16TuC80gBoCkF/tFNuMDxWH8VlsXFcEx9CqcuU1YUfTpUJ8oyJGfIBh+ZljtiBWTIzeDv1QF7Jmn3WPtpsrzHLslvugQV74Pij+oJFT2/GyNgU3vb+P8OVr/913PDmDx3j8sW5QsLcoz//qddu9JEqVzD4gx3If+lz+PzdB2A8uwJdfgqv2BLDxhURtFVpgbC7A5+aflI22A8EGfM4u9kx0S75q94oulYb0IUL3dWh6QLlljESYiLYXy9huzeF75YP4meGvoMPG/dhlz2Jgb1FTNWqGKOtx4jQcH2uA6vNFGxfg5adonp9jNsuXjs9ivfYz2J1Vx/8QDM3OqAj/aQJ7X4DoiyApA9vswPOXlmPS8E11DjjBWa/sYLGWg96dBRRg4S3ISVo0UFIEEyDAXTWTGpckHCcwb7sU/+M6PDj0Ot5yVc879WY3vbe2bZwHc2cne6V/FwuXIg142tGcwl0Z7pgwYMjy265B6gHjACAdeK8qCXCcX4egdeFDT8ruUItOC9Y0EniOepxu/ObbqFnLCo/0sYbXsKtLdpaXtynd30V1uTuRflOV2ZoS98JwIzTVS/Xw+MRh0agDcHxZffC6AGN5gluabRCqCd8xGsWUvU0MpUEcoUoUnoX9pbU22Gs0YN5f6GJmccnt+GBPX1S04dZLrvEA/P39foYdftQr/swC0rD0i3lmQWRTBrN/vRggequ2dwsG43Cu3VQqSU52eQsyKH3qeNUC0lZ3mzXZNjofS/hwqbz3VTS8L6oypemPqidjXzN4g8FjzZ/3NMKTEewxnwz3qXQtKriarSTzWA7g+6WP4WZqIVPk+wyNQ9sV6VOzO+OR2QBNkkjI+TpFnn04+NRMPvri7fK+GYkaFPClPGFvHclNbw+RrLNQgxN6GxKhbXc2fZ52ffBgDID8Y2sYXryqAjUmD0n/v6WCxBqujN4yJmXRpTMx/H5LgTxe0n+m583P23Qqa1hb34Gp2mDyLzzVlw9vBdeOocfrb4Y31m1DbeXXc4Fg+03E8guE6fgcfd6ENC9KMZjj2IycRcYAIwS8JvaYcCcGUF06HGEGzeCDl9rV5rT5sFp8F8FCnTluBFstrk0J1hjGvhetvIZRMVFWLvrlejY38dsVJ8MTtmrdF0yW0e4STtLaIg4gbwQvhHTkLVoVNCcG515EHr6IIS+B9Z9/wjTPgIzM4VU/53Q7XH4rba0O1vdvAr8odDqhevgaySXD/vgj7pyHfMPYhNozTSjqMYJBugSuw0modpDcrozBX30Irgzb5I0MwBunIwn06HnoY4qRkE9jYjWAnNvv8yqr+6WIWsxfkt7DpoQ+OXOtWjXCW2ROZBxBkoYkGHQvbfHx1VXeItqAzIYE6HHfX29Ay2lNCarNoE1amwMqp0NGrXb40I963fZGzBDaxxtUxfc7mCRRSUYaKpobWCsMF93iAI69wkZvtg9qb3s69Bo3di4ecXnnVrFPuTHTflNKx5XU+rxkxlmypfh/HFWEpt4DKo7RcDQBDSDxseMhsx6Vcd4Ey33MoHzY08K0B4tTu7vxVFKL4jZEzFo82s2sUAkfK752vJ4ugDbgmRt11FzMswUgvazGu4DB5g819Gc0fKV+9DyH/fBePgeoFaZk68ROB4b1CUt/IadTMzz2MwMkyIjGrgMx3nDz8zTfWCAxicXoVzB8wHnL7vmPVAsqmcrM2/cbs59lNrV5eOaq3286ec9XHShqoOVTng85/lEL6ix0e5U43xY8jA93KzhHrUFoiNRDGTKMuuitj4kXBNG1YQg2WQyPYpPVB6gsXtQ5r8psRafaL0KbVoM/HYjzweHnAK0qT0yP+tUkT/0Y+IfAMtBCRrP35E6H+9PX4APZ7bhL1qvxt+0X4vXxdX8Lgs18bjtWnGMBqAInEQ7WLvdrzro9SfQliO8q7MXkxUH3x3uxwqDBiqqw0oTP4V68BYqReXPGGaMDJhO5vDgwxoGi3G4iTgEofj6ZB5jxQzG3JWwRI3WxCem9CkPsOy9pHpAO1fO9h+/+C0MjozjD3/jF2STPv6H78Xf/8WHsHZVN665/ALEY1FJP+c8moAMWrRsuPszuLr4DCpOHN/t34KW7S20EIvhpm1RXHaph2te5qHTiCMz2ImhUYGvFvbB71RnExnRVWQBPw414FVp0ZHp1pDTDWhwULSK6E8MQy8mMeP6cB4/H5sfvxhTJMCPJCtwIj7SvkWDgY6qpyGpmeBBOSYM2LQAQoQmS5rjDRoctdJ6XLFqBSqBXXRuCi9kagMCZRs4YjjY+YoJ3Ns1iIJWQ3c9AkFj9GSNMok5LgTx9MIVNsz4MGK6huIoMVBe+HPSvTJqBZrAmSf/Geldt0qwjzNYkyi/8RYJtNfatzBpSW623kATcUmFiMlrX0E+oBXUoCoTy95Lvgf0spp8XVrQL7UzmLfcc9UsuxNrm42fyxEvksbMprfA16PgDa/sk/+CxOG7YebVojpsOwPtGXpe+e0TBhRSe7+LsJ9CnjMR6nWlYcDtPN318zXjOrUAvOX4snth9IBey8uG1kwFDlXWvgEzW38V+Qt+GcWNb8NQ1xvxZOVaaU6GgRbJ3OBZJsDaPUziRQaHl1/qY51S7qI8SO344XwGwq3K58GfUeOCaGn+bItxtbDwetZwdce4UHi3u7IIP8RUWdGJ2iRocWlDX30ENI0jMbECBs3wVnKuXFCh6fQO28ehpId2mrM35zUJivKBvlr2EZoa4fR8t4fKTXo+eJ7eQHO1wRvoxHQqGu7hQtmhjXiqSv5KBJ5wJCkO41ObXo3xaBKNmu2cx26c+pTD9gZwjtOLuZ5YRGYPlmsyZM9Isg8wyKNiwMXxbrxxII9fuv9hGPd+B+F1CfNPRxhquXNdWy3BgXRi8BDMb/wzWosKKJ5wJfm4Xgi6MyMvSBfrl36FFWKdefS4XO5EnfnDW8GAyZXJCGItWfS39eI7fdsgahX8UkLgdIDt3KYYN1MTqJgGAbc6nOh+VHp3QqsfRuLAIHIPTCJx8DEY5X3MDo0W8vraDTIuBkoyrHmqPzlhVMY5gEMAt9WwcaTRwxOpJZAb6pH5IWAjEwt42rOPQn9OKcAswAKX5IBww7fWev5CbLAD+fZE5hOr/DQyI38PI3IIMHV4ogX15wrwhQlzayeNE1XMdM5gsvtxTLtPYdJ7VrrhNQWMcRdNCej5opy7Me/Pi9KAQTQGsihA/LAhNf/ttI/Kqgm4HfcSWYc5tAbWhEYbHwL8Z7d4HMy6gk9topB2TQAAEABJREFUo5SFDCJDRWj5GXiaC7dTLWB2zhRRtCropjXazYk+zP/bHGi5P1YbnZ91TJrtAzMYk6DzvyyTxZbxPrDN3cdqY8fwztduZwbCQbB/IoY7Vrwc7mu3MmnW8Zhfj2bAS5+KmQL/6eNDHLzoHdt31zUdsWKK1n4KIAtPOrXKB4PsIaCe3aLSYX4kp2KVCRUezy/TNGgJDcIK7r+iQNslqk5+m2t6N+R4PfGswO7/1HDwdoGxxwQmd6r773j1v1jzwzmZz0/QGB8+t5xu5sJ8J6P6uRnPgjQa42cVBDZdItkYtGfwHgaNE0kShIhHC5QIJANhHdFv3UZ4wmpyfWh5LofIF/4B+kN3gucR5kk+Z4Dbzm/Y24sAwDw2MQ+XiR/WOUA0wEGYPtsWytHp/qFg+bdAD0zQHMBZXV3sn7jjcXHbRT5CeXjvPgGjOArhujTOZ+DwV1Ybqp32y0hoNqyqRnwG+jMa+O+SVDfosYdVNKD5Aq16HTbBQ6yh/tdt14JtrreTvPfmpJKP76kOYH/xMLJ2Fe20/mynvEunDuIzY/ejTrtvrzkOsM7HbOZ4Hct0j8D2mhfBrucEEk4FKZJTvbYUXvEaDcOJSXRoU9Bd1fZ8tgo2m6OXymBzj1xegurFsqQ/eCCN3XsAfgtge74NnidgEhg/NAIcsDfDtIDwTVguu+yevx6oVOsYHB6na9R8XLRtB0MjE3Do/j7brVR329k+apPjPfnMHrz7ba/D23/ulTL3os1rccPLtuF3f+1tuP+RZ1BnSUrmnFte5N/+EvrOx8Cg7bVrxzHaksa46ER3dRS/vPYweCDjFvOi/7KLBFYaSWSeOg+30cAyki5xFswZAZ6kZKKJF9WUpm3ZH5OC0ZqVUZh6DZFkETFDR7qegl+PAQJYOdWJtXab3EncsD6DjWYGPJANOS6itIzPtQLtNLiB/rzcDPnAjOOj6KzEdOYamWaP21MnWbRcc/FVdxAfueTH+JPiA/hk6UkMRoqI2Bo6HAuzGu66wIjeCp/+jcgkDLqzKlNzb3h+HZfrjg4/LkF2vZ6Ha6XBQOXU1veC7eiGixbmW6qrBWZlIuMnaHMuEgO/SieFBRIulnq8Zb4XXw/oBLIzyBwdfoIWpQV5gg5N2DKyRI83q/he9owEaq0bl1jq+WdjQGGGQHd+PgUBYVF6PnkjLL3zVsQGHkAItIfPa61NafCmdn8LWgB8nomzCOt2rZYzUT3C62uUx87oeZyRxr/EK+XnlbtAc2llShE31q7eoiJwjOeQ3TPr4EFHZ6dPuc1/fb1H6azhwx/tCyms5c4foRqs9YKtrRmFI8CE2oSy6VghX2MYLmC9JoC7IPkl/GCqXqiA024yjkreAgMdetsUhGVjshxHpJZEjMDJ+QvWu6oebQL4ONzmEHDuIzKs4415g5yJvjEdPzkgoAVaqpj39zQtfJh0fRS0SNLA8zsDb7ywZfrJOL1GAgcV9HXygl9tIojok5iIJBDXNYRmZIIcGYy5CvRpN6hBknJ8LxsxJdNELTgZSlkB4O40aAeibQXe5rbi/Ik89Cfvg/XlT8P82ueg9e/H6fq7KqLhIlOd/6XW0Vr1HQ9DO7IH7bsfl8SlaLhLRvIYdP+tzEX4rcyFlGr+402XAQKWOTfUouf4iTr9yfuhDe6Hl8rCvvEtuJDOge3txx0bvzz4NPj8mtbpebIvzf/3V5jvjAd/0LSIJJoaLXpNVGkjqe65iA99C1782/C1AuC1w5h+JY3B05JVqwF6D4PmGsxDRQi7jDpUHuhPqyq5FYgSSC+IApR787CrD+LQ6nsJnD4MzyBQr92TeQt5vBlj/virMH7wFYDApIX4mF5cezOKq2+iOaOLk00dz6O8cc3ziXDpJBq4jkn7VbSM/iOS+dthVvrheybKyZtQn74Cnt+G+qprMX3hR1CzV2P/Vg9DnQ7y9o8w7T8r3WRmDEeucFBLatCoO+IDD1L/5RuOCGqrL9OsLWtOa4gOaDJdWucgVn4MXtsu1HoIMRACyd0GrUNUvh1oxktm8kreAPlASqyCMTxB16MGx6zCp+eMM54sTnGAbcmsDOd7oT33HfXJ+VnHpENTAn1GCps2+egst4KGTjxKYH3Zt+fwN9NuZ21GZmIbxQwkcbzRpVvTMlnXaOylscnNH79NssApemL4MF2Q+inWcvLF5dsjNFDHZ7JwUDqmIrblHhLTq9V9E6ZjtGbkOG8Mc3g8V5vSwC/V8JvQoD++/3icZiAfM5MY/c892PtlYORBAadIDMFvdu4I0i+lQKsKOSf7Bo1brWrc0om2WB+Em41OQvEvxNuMrvFb3bTmDc3JhDy8MSPjHWoO0kI77sRrfveLsKoki5tRGju6ocU6kI69AdEndsKkOTby2B6YeQE+B/6GnaxnEa/Wodpt0NjE8khkRI0/9ZyiMyjPxUM5g+PLbm4P8NhYCh5nxpjm5p5Yap3CweV3jMwpNebbLStlJTz27qxPSZMvg86wpLVMGvCEh5mkgzYthlU0ZnuZOEwC3AUB7llh4Bd3vgqsod6ux2QZ9kIzY2xiZu/Io0yCueIq5DovQ8b3ccP4AfTTwHBZtEPmnahn5gM5fdXLpHZ7nYbdld4EIpYPN5cC99P0loNYHS8hyqaRCTwXooKZbEUeypggmYRi5pCa18rJNIZHBVEAywIOujmMjAnU9k6A+37U7QOJ67Cm90HMm/dloWVvST3wyls+jC03vBsPPPrsLP/dDzwFpocEjjNP6H72XR8B84T5v/XHf4PLXvs+3PT238P1b/og/u8//leYJcN/+crt2HbTr+DGt/0utr7qvfj691jpQGadFU+NcGflUIsfpFyp0Q5UnG5oE/FYFIcHSBAEsDZ4bXHvQTUAEOmc+7mbLkXtXX+I2Ft+ERdc2oJYj463xH+A8/Z+HWgQ5Bl870ga6Kq3ILW3B380+SBC4dacWfhSmEjAQgYuCUpsSzGzQsMFZivWtfnY4HWgxU1jugq4mo8YDXLJg53gj01w3TTuYVSvYNqjPE2Xg027Hgf/2Skl7biaQNVz4dHAxHR2RlFDZdrHOC3A7rtkDyqJGnhA3WTmcKglD8PTECE3VKEDUwF+83jI6JJt0KLjaIk4aPxoKrHATq8kOF6Da6XBoF1+4y2Y3vZeqVXvRdLMclLOTvciXOhoJwgAerTg5INKAYQjy+6l0wN0z2ee+le0PvwpZJ75knzbInH4JzRpVuHE2uieipxwXzDoPnXJ+wB61k648PNYgMGC/KZbwM9ktesSOvcozEI/eCEfAu3FwMwTb4zVM2vBdAblz5SQwcAFd4kbb+PgtDtfj4A3Gbhi1trncNm9MHpArxVorqG20jNMPvxooIbHCXL7DvjkA12LyOwMqq/qAy692AfPzbJAg9dFYP2Au1ZqWLL2iltWgFY009LApaKCtdtrFXgpakc6q4gNvhEI8U4uDa2k5kx7VSeKR4TkEr1KvklNqgZHcrqkhx4DrXerYtjWrs7NpMUtA2VvOmzizUcsXHvIhP2kgfRTJkxaxIZlOXyopspcMKEjQeAa0+YD+kxbquMFMjvmDxfGHC8OqfPRIqOcRMwwwDbbZUJ50i/7SvWbNVklYQleb2BWZjCQObiIHlHnxZsWnJaO+t9+8/ukTOZuezl4U53BZfPrn5NgseQ5Dd5/I7Dz11MayUXqnLnK0Dxd2+QgJ8FvFcjIEr2rIl1YZ2YW5A7fYmAzNrGjh12Qv1mGGB+Cce+3ZZZ74y2yf36eBLhLk1H8zvbv45pnF16EaM89IYF6rTCJ+U5/5MdolHflAchr1cmjX8XQMUFjrktSoBNvR+m8yzD5sg7UclmImkUbQV3QSe4UtkCqLYqZ+Eo4rkkbS9PwCHK3Sf6lahCaGfNFL4QDOAkfbkIdxNGmMXTeboxePYXKSnWPcZk5jp5T3oDRn7xvlqwN7JuNN4u4sRxqHRc0y5pDc4K5KrnvDqRoQ7qF5IrcY59B7rF/kJvXIXO8+FPo3gz1BIFX+RY4pY0otb0S3p5nJIu3dgu0qTps3YNnRmCRXN9VddBhx5ARW2iroQNexMBMDwi5jJAHmqsfkGHozdpxp7EgfObZlIMXr8CqKBvxhfOyYPMy3I/sGCxrfJ496vc6psF/Ca0H5tA4YNfgWFWEb4jumFYAxfpEktmOcZusLBLCBJsPGHMrx+Q3Eg4T0MJpLpOjx6DLiqIjnwM/8iEYz/nNtNuZPjIiOMDWwESCTDR4djyOiGuhq6xjKBmDNzPRkHtmotpIP6xb/wHGXd84MwdYQq18LwjagLbqMTS+LYLgr2WdisS7gHlTKcyUGmPtxk1Nxd7U5xdQDLoM9KjLfL6v2HVsKSNaOgLP0SDKRbCZmdU3+2DHjNUJKsSRl6DjTQk+bSfug9ftHDdnNA4WdKFG/Mm8pTZrTqZ3zZz67RYFdhutWyRdBJvU5ne+CP6+hx5ZRc99NwqXRVHd3A2/ay3iuVsQc9YiuaNGg7EDHmN4HJEVLOKx/MFjt07F0ttN8D1ip+n8M6oNnhrWwJsRi1Tzks5i8y/cAawcwuGpOFZO4XoYRJ54+qCs6itpD+8bvQu/So4/ePrFwi5YKMq86HgEnvAxlDbBWuxM9NMxmEUTmicQNRwUXAfD8z7G2q7HwDbZS76DlflBWEKHlduIcs/VSMc68ArawL2hOInG8R5L/DMJbOd1q29EUI2tlNrtXHRdywwHsLtyOOQUMJGcQGekjkg1iqHxNpk3tELtXOiTitccmZT0nVMtYNCeN3F/5mYP2qocCE5Dfue0pIt4Cm4LT8SAdYLfEpQHWPZmeyCXSeGvP/9VLPbNzt//wNtx5399Et/6t7/A1i3r8IH//imSE5Wsd/7aPnz9Xz6Ox+74HP78D94LBtif3qkUbe59aLsE4D/95x/EUz/6Z/yvj7wPH/3Lf8b+w0Ozxz/TkcVH9DN99Ib6c9k0DgYnfu2VF+KLt/4AUzMF/Pi+xyVXR1tWhueaV/vAJ+DwooUWedy2N1+VwK+8cw2Sve20IJmC8fCdTJ51/LGKDi2O7MEVGM+7uDOhduOsCW2Wp1kkNqvlPoqWNT4II4fZUoZFApRO4N548HpEBw1mkZEsdtSmwILzzCU2/l/XPhKygGxSg2UerZ0Fb05RbXBAgn2gscY00Fhjex4Ot+bx6+vPx793vhpsQ+ud6fMxECvC1hx021GUHA9V10OvDoxoHahqBkRkHIJ2Pg06pUbQ3SNQfeqy3wCD7AzaMVAuj7VEb/utddz9VzWMPecdU6KeVYLDCQNnaZLqubZ6gGZwfNm9JHogMrELem1anqsTb5fga61tM038V6G4/mck/aXm8TNZ6rseU9veg1LfDWBgPQTaaw1mnoprXyM3zhh0TxK4cCb6SQs2z1h4OhP1c518vTlkQJXDZXfu94BwaxBulcAqn0ArH9Di8PVgdUbN37lLIE8YkGX56OqifKIt9COBIJUAABAASURBVLv+Wg9bNjfn2XqRjzG3D2WeGvLjcB2BkteCZNY6pjqt/4Ck+Ws3y3C+p08VJMnNpWAF9tvtzhz49XrO0FerBc7YVI6TsDI0ocqY8kLt9nWGwNqUQGGjg1qnJ53T5aKzx8XuVheDAhif0pDYbiIE3kfLAuvHNfzhziguPmDSmAfwgtiZp8mqjrQ0X1BfMKcbYV85Br0dWovpfgURkZdENi0nI/O8kmdLCisIyMgSPDZZwWz95RoH0kVUd6EyIZNzPZLJnGt/hoD3P4BzxY1AJCbBYtZsnst4cim6FNhsUoc3FNdC83T5afToKq/fbWA4xWj4wdT15slXZNwdgO20GeEFgAuJhnh32kA3m+2pVRY0w6MN7JcH5v5kJZPQsdIJZ8yXd5nGZox8klF1EcW/ZTfgMxtfg5kL3oFq18UELqVQ2vV/4Jbvg+8VodWLUts6PapD7+7m4rD2j9MN68P21Vyt0fPPGUYpzgGcjA8/EGyF70uaB3V/yUSjl5+S2pi8AcPKFnJDhvK1ZvaKiX6iPzehNsys6X1S4403jXms4np48zo28AB0ZxSR0iNMgl3fCN9OQ8qvUxPwjuwHojG4my6Rr6wXshV4liUB9q6qj578AFrFWqTEKvixKIq0KYhSAqibiIzvQGTsWVkve07S40A+7zo9Mvys1ldMITF9O4RXhW32wYn0gbVR6wkbZX8Y47l91HMlWY69mjcDj0D3KDpog13AOjwMCB/1vpXg54k1LPeKKVqPCFydVOeOJn8MoDN553G03Nl+O/NtNtWDvXmjj3VT3ahWBO6pHF0YN9NuZ2CHP/5H3YWuBcb9RE5HSc/Q/STAZmVcmkXE+CAf8ow57Wm1EaIf2HnGjnG8ivle0KAT4J2U13M+f3q1j66rffS+Qj0/jfkhAF+dbKQ2j/McwJrwPDbSUnCWiRW4WKlpXeob6EvehY3n/RDd1/mIr1COGZdSP/O9GJ0WaLN7hQO0CaQ2//Simj+ana9eEhAOwM80z+XNeBak0fiu798hs91Nl8ow9Jykuv7CyoHHR57PWHudx0sRz0HrvRJ+1KBx20Nhs4PSegveij5EstdB05JwYmXawFv6hBd+VNWg8+E2VFYdLeuZQVvoPDnvzLgXdq2TE6r9rByiYqfmb71QzRmJ2hBqwsd3cnGUgjeLWOGSgfLrYims01uQmDDBpsXGUxrC8RpxA3rJoClCoNWso2iWpRmWJ7eLOQ1jgN6xK1hTmUGLmYaTaIcXSeNHrasR03TcMj2Eu6Z34CMTD+Djk4/Ocd8vH55TV2T/EG0Eq8GJ513OdHouwXaaCkOgfKWv8p3WtATye8wiuiMmnHwXjoyuBMNnQ90s6IPqmuIqoI/PyPCAq+airbSJm6Sp9uWvjSC7LoWosNFOgxZPhcvrSNlVp+z99q+8Bc88dwB33f/EgnXlCJRf0ZGT5sZffsWFiJMcFDL/5nveiA1rehGNWGALKZ3tWTzwGN0IxPDTR5/FpvWr8KprL4Gh63jDq18m67iPgHjKPis/7awcZQkHufrSzTgUaLW/662vxUNP7MTLf+638Jd//2W85obLwR28hGrOPgtduGYHtW+6RZKluZlgcmMCP7AX00K+Q48h88BG/NhSgLsx3fxS8ESUu9dCbmQlFwdruEdIXlz9Mz5yFxdhVqK0ENEwTsC3AQ0tmoVYNYb8mIF7KgNw4z76q2oQ7cnpso42PSpDJ1WEoH9fCKrXBQtLMoM8JxjTnA4HobBcJDk8OpHG9EwUdcPBmmqcOIF+iUgAuhbFjJ6Cp1dgxkaQMnWpJS+ZAs/XjCB2YgGD7GM7fTg0Jm7/Txu773DgVI7WUc+ukwledMjIEj0/rQZTMTa4xBLLbC+WHjBYFYdOhoFlBgBYw5s3glhL3Y2emxt81Nyz8mMAkwER/hhsI9AeHpzzub/4bRWLwAUGEsK80xUymM91OfGFF/KcfyrOTqtx1Qw+jHkqdS2XPTs9EG7E8KavPGJUjeE8P93/gMAjjwlJDu2xy8RJeDxX5zosAt1XStDdIzCvHO1FgO3NqVHbp4Q6r23FHHqYMCZmZNRNxmAE4PsMcmrOzY1BS9ZQ9yPonW6DAQ16myb52WvUbr85ps6t3u6huMGZdfXzHay+wMHnt1TxzQ6aHwlI8mc0pJ820PKQiZ89YqGbQHJeoHO56Ytt2IEmGR/jRJ0eAgSBnWguXx1XbbOsKqZoMQMhEF1APmI7zVymXVeyCMeP52KG6pMKyTohrx5RMQb6VayJT0C7e+WNqL39gwDFWbNZ2p1twnpKJAJzUVNCCWsDBpcKFSV+La3q43D1B+ZkegMw/zjsx2Rr/fvlpgP3g3PFq47JR5qES6IuJA/NAWpoQwOBc3hDg8qxvAvuB4qHv6jw4Wvq3rAJQ6kLPcyS9n+1whQq5UdJVv0W3TKHCHQXSOzXsTJxFQyjBfqoA80ukYw6DY02YYVbhWsRvaDuHbvFhZeMyTojRXWP+AFIIImhR+0yb/scNDoeg0n2m94ngW3ODjU5OX4qrtJ9hdywZ5misP5nwW+MTV76AUxf8A5ZbXzgQWSO/KuM1xKXwxojgJ1StbYt0GY37baArw+PGZVkHT7J0YhdCcfopA3GGQLrH0VU6yC6iXynA79mw9Y2UC1AjOqXEfIYiGMNUooSwOzCX3EHWiY/A6u2B67WgkryGpnF3sDGnRjrPYjhFc/giPtdTPhPSmC2iAOcTeBCO6xDIxCVAlzdhte7WtJ3jtTAoEpLxEC7rq6BzJjnXRppl5RmtthlBnllumY8LiSEiVVWkigAv4XEZmUqVeDZ2hSNxRUspN3eP6DusdA0gqxgnpdM+NQXcXLAdIzWKsKHyKuNnHmsS0pqx9uoofEgfGZAcY2evyVVfJqZ+F5wk+rZMEoqnH+IHG08G7RenE/ndDDFoqpwKyY1dTwH8DrSMACh+Qj/GCDmMdfUS8hG98Ka3B1myTCsvxy8ISWJLyHPCABnsfNeaHf9mzxzc0bdzzIxzzMDvMA5iTmcNz74XvS610CO3w1185sQfK/I9qyicYjyeC4DzZviqncDdGFZC595KAsMkBfXO3Dj6tmvugsDZcw/37HSAMskTOfQbjgfbgvTZVs4suyO6YHp4D7InablKtuBt1BF0pnEmKFjkq47g+z/HihcfjizDRssDXFPgzlloqRFoCVdbIoEDSCgMzoVJcAdSERd5HrUxvf2pwW+fbsGltFBf4wpXV4YAWvIR5IrwOtJ1jz/YtTE4VgOF/kmbpo4BKbxB1TZ8fh//8gU/nF4F75WVJtS5tAkknc/idSPH4egjfjI2A6qHTS3rcPTO9T4c/HGOvRiGT4J7oVsDHeUD2O1WUArtTVjrUBlugPTVQvFhINq0ib5PC/rYDm9VhcYsVoxfxNX70qio9XHxd0z2LTRQ7iO5LUwt0NWcK57RRqDz7LzS+q6LdQ17a0ZfOBdPwfWcnddrynbfQ89jf/4+o/wmS98Ex//6y/gIx/8JQmgz2c+1D+CkbEpsNY750Xo+uuaxtFZt7qvC4MjE7PpMx2Ze/QzfbRF6v/ge98sP5LKLFs3r8U3/vXj+KPf/EX866f+CP/3Yx9g8gvL0UJkdhFyz7cBErbCE+DX13tSFrSyhb2j9EAbZamFEk6iIR/vYCefNcHTbstolyRXMSo1UOKdPmxjCrFyEo6vYaIOmEJDX6+PTi2GWH8bWCOEX+Gs0WRu0CI+l9JlHaFg7MTLNOB5qLmSDLemBigWmJwxgGRpHJpOyIHyC/+u4bZvaLjjToHpvR3YS0JbzrbkwBrace+m6g8YvfDhwYqNw9CAwlDzh0YdcWk+A+sMsDN3+0YNRhQ48pCLhz5fnzVbY6d7wX9moV8uyji+FOen1EQh6iTRL6XAS4znxXy6emlUnp5HO+sysuydUA9wvzEgz4UYSODX59nETObJfwE768HPIXLwJ5x9Uk6rzshyfBwZOQMe181vNwgCccx8/xk4wnKVp7sHjOC51VxHVu3EO8EaNN8hgX7ffoFEArj+GoErLlPzmWQ6SW/tGg/99loUCqoCLdOuIvN8bWJIUrw1m2U43ws/mOqT5M72251cGoUJU7Lpqwdk6BZWIOrpiJmGfDtNEslr1G5fb7I0QMQmPwZhfzun4eluB3+1qYovtdng9VjRF9iV9mBsczB9RR21Tm9O/U2qOi5JqykWfouOY389/ST+pPxTfOG8J/C1nkdxx4osJqMGDIuEAGY4Da43HpW1hGbsOEFrMw6wJHMEJJPZ/DYilWBNbP3J+yl2+n7auLoHwhpXTql0aHM9pJ9KGH4wtYdkrZOph0EvLudsJbCVFtMcb3Rez1qZbAYkSrCwVoHX1o35QA2n3UBbkvtWVhJ4rOEOAtw1xKCRdMgyqczKT8F4Sl0Dp26AkE/4ke/ASZfBgE4quxLptiuBYQe6UyK5dxpGmQRTAJ7VDjMv4PkO9qS+jhmfFo9EX/BH7Z4F26n9DLZzm32KM/jOIPzp0HT2jBh4w543q+vZtbQQJ3mYdoXceDv4TTFhVGHYh8Dypu2tIpCgSmBDVPJpoVmbleoa8JhRTdnUJyYsP4Ni9o3y9OLF+xGhsU+P5GBHXAIJqsB0hjYh0uBN6sZ5jG0ya24RWvrH0M2HZfla7EIUWn9BardLAnlTkX0YXbUXejJNKWDG243D7u0o+UoRJaWthjk8CZTpOpgV+D1rJN8OVmem2MX0bFGw4C+027uzPrUgT5jXZ6QQF2psTNJYvi4bRV++A9Wqj531STTTbpea9mrvAr09/oLHSCUFynqO7kLAFwS8E6eg+5CCRX98z7JmJW8KhIzGnbfCvO2z0PZsD0nHhPrOx3FQd/Guy3rw7a4UtAMKEDqG8WwQDEFrSQ16VYfr10/oiGZK9al9HLMy1eDyJqKarJ9BVI7o+Spm50hac81/3qIEXjFfhW4xDl9qTi8KwHHg2gPwvQrckpJFTZ7Am3RGCELPbqg14VmIFN6D4dtN8/nCOkWnAtw53775nTR+dHMU9ba5a/pal4f8hlGUZr4Ob+RpyXMiXrXPleyV1Y4MG73w/tGq1D+NGctx2QPFonoueZyUhFP0uJ7r1x2AJnw8F0uAIgjHbq664o2hjmna5HVgTpsYajHB2uoI/vxMFFpdg0ZyLHSBizZM4tWv8qVMPkVjA8voLKv/aGQMV5RniE/goUSnBOJDEzKHVl2HTj2GX6Rd1k9Nz+DjNR3/Q+TwjsFVuLS/AzM073/+8H78/eQzMIYn5JFZpk5uv0/Op3aqF4/s6UCtJtDZAfQYecnjZFM0f0yhTmNft0FtEga2rVuFPi2JwWoMPLQVclVwXdahURkOVxO0mW1gw/ke7qoMENbmybrqBNRqmo8N/gi4zzzCEPi4nGlN7uXg3HYkT/mD/4mz7TDyzeP2yzve8moMjU7i+z9R8sr8AmwC5tGnnsPOPYeQSsbxr1/5HvZ3Xgj0AAAQAElEQVQdUnJKyFsqV/Gh/+9vccmFG8Ba8Ex/xTUXS+35//GpL+AHdz+Kf/qP7+KJp/dw1llzalY8a4db+oHWn9eLd1LHX3HxRgjxwhxsWasqFOaNh3805+Qv2Qq06BbiA23YHleDhjU593JEB3ToNVXMpN3ueK1TJqreqAwdlGFUYijSfJV3fERh4DICGdK065gYbQXvCrJGiZFPwBQaMg27x21aDLavw8pOg/+qnkCdJ31KiClBEz/wVBkojcTBAyWRQVgBsllAMzQM02C2wo7Ap4zJmk0+EBfAiLECvnChRUcRNTQUR5lDZp+0t/8eB9VpH5lVGi56q4lL32UhmhGS9ti/1XH4QRe8Q1rPqIWKmT+y5GP5bSsk70IaXTJz2XtR9oBRHpfnFW7WyMSyd0I9wEACa/NxIQZDzEI/LfpnpEN1Btbg42AQXrjBQMaMS3R6cH0YEF9ikZNic9IrZTlrep8Ml71zuwe0el420CWh2bV1PP5kDqxBw6+Prl3jg822bbtQkzyn6rGWfCWu7g+uS8QUIMXx0M0BIpuAmCzAhxo2ghtJBZ0VrQi1+fQ1B4gCaNOtMhTtQobsNdNuZ/pCrpVO+7fTGtos4M4uGx/eUMWnNlfxxIY6vMA+60JlT4SuVVUbGRhlLaRHaqM4WCtiZ2YUj3ZO4/sEuB9OmrjHUtdqft1j/KoaEdv1OPlL+0V1DXFyZdcDm7HjUvEVPnQ61+okSH5hyuKON0RCRQi2Yy7mgeSLl148V8wD7uLFKVngRD6cKgss4k15KrPXUP2vUkvzxfjgrHa7u40A9ybFvN7zJFXwR/Vk7KinBWAh9+FR6tGYt1GZJ5Da4rXKbEZMkAxI8mdZ10EIOSoEknOm+cNbgYDPdwWcsjo5L7YHhU0ORCSCaLwX2qgNrVRE3R2fVaYQTgtXgamWQ3D1OkreIFxafGk29Yvjk2xblPmhJwpTGKJn4eANKQz+/DbMpMZR9gcIxC/BD8zqaIGGeVjmdIf8ppgXPNsa3RTJvT+Qh6h0bZPh7CYHgdmCEGQeM2pxF76lI6K1wNNbwGA56C9GoHvM6gV0oJirwxwYgZNYRTlEok0Js3YEiZnbYcS/COTuhNv1EIHz6zHd/msotdws65LM5Hmow0UJGix0atdgpf56Wkt0gOnsdCRgkrP2HQZcG/WEQAjW7ZhRO5EXxWlhgIX/2vUYeM3B5gl21tVzMZ87pG+y5ta1ljY9VxHgXqkIfKmwW65rWAv+dYm+2SpGhgV4aGWAZSFzMsycSPooGBkYro6cY+Jw3AI/F5y3kGOg/Y8nHgTbL/7v4w9KDXverJNvc1Ah/f7vkd/8x28+3d2RQDmVxhdXZzA+Rn3YnPWMU20a/wXdMNFyCmW3+TXAAn+RnMqoqKWqSjTxa0G+GfVkrhOsOa3dh8DPOmtVN3veImrqQ1heFn4JeTqtp4XnwfXU8+QRuMenr5cEB3McK+JZgQnaeqvq5zkMx0mIfTskR7hpJhMNHm/ScVJPrINzzevhvP5d8nlf7JhOew6uO4L5m85cz/FctcvF1BU2wo+oNvKHG/p6IG805i3HgQnCargfsjmaYzlyGty6hJJHn46kZG2rdBV6NE+M+goEbdmTBU/jQzkXl1qEaktO8uIGotMWQPO5GxVw69Pg8fgNr/eweSPJaHVIWf0be4+gN09rQk/H/xzzcftXbXx5QI2NF6fWodxzFaKajk0z/bhseDu27r4Pr+q/HR8t34W/GBsEKiZuOzKMP8tvR1GH/IuM7kKZMKt7926Q5mSYyGZgZs05trXge6XDyBg1tOu6nOM0mvNed0UU+8txEEaLiU6FZUWfPQiPMLEjyMGi09m78gD+Kf8svlM+yNXCaVV9YkwdlW9rbUrZxpp6AawjNQNIbjj7Lq426mUnLuC1pBJ4/zvfgE//09dg0ybkfLZfvuXV+OSffgBsi/1b//YX6GjP4ivfOIqvVqp1fPhjf0fjkYe//fgHodOagetgRe5/+j+/j/HJafzH1++kcAaT0wV0dwaTDzOdYaed4fqXXH21VscdtKPxR3/xObzt/X92jCuWjgrwS670HGCUmjTUDp0/0NSwIFtFsmJGi8CaSOHH5hhxAMa0kCF7vKCNH9Y5Cl7UciRbVouhKsZgoyQF4li5Bfmahpruop0W2rzb1t0JZJyo1HK/rbgPZiFOg4uBXMN9xQKwDQ2+SYMeLYjqtIj1ebFCB8o/KVD3gBFqTiwC/AwNlm9/q4e33+Lhikt9Ggg1zNDRQWN8p21hsEx1ULlWXWCXuQ4uHBixIZiaQGGYmCjvZH9ThzypzW5EgS0/Z8hqkp0CV/6qhZVX6nCqwJ4fOGCTM6xRxAwnYlbGj0a5CFCjilRs2X8J9IBWy0O4VfCr6bxZc3KnvFyKe4C1+fiVeX59nt3U1veCnbPt7fBIaGMQvuXpL4H7nPmX6jRXjSu+QYPQUgudBF89s1aWMif3ynDZO7d7QKdnl1uo1x3UqxYm7S6wVjtr0lxztQ+eAzn/dLlIWxvyrkIcnOBNqsa6RWDX2g+Au8Y8jhsTBQ4IEIzBHJqU8QohQ+VhiubGIOJ1moktpMs0cRMpklTzPkXRT+Bh2ffBttsX025n3tC1agCD7ldGBMkFPmYsD1stEWaflpABAq7ISXg4ZOc5ilUTObzl0IX45XIM140WYbk+Cn4NDMhLhgaPNUY52aYH8y8nluBWBPYaQzN2XCQEg2oTSztHVoQIQXfrts8BDXIZ13eyjkFdLuul1L2ycugAJzFB/SAjp+ixLXi+F3IkV8WWdqpzjqgHGv0LabczM2t8gzaNNALnEYDhTGd3PKCGQViPwGLWXtX2P8tFpMtpGnxqc9IzAc8Hg65a//5Z8D+8FnU7JvmN4l5p7kgjcFTEumBaq2CM23CdCZLT1Ca5UczA8SsotIzIMh6BARzRHY2DY1zFyKO4wkC1LYmCNYwJ7wkMe/fjiPtdHN5SlPyNbZaE0+xFi/cBpiDAeg28egaC5A8+RLXrEgX6Un+LNN07LVkaJ6ZQj7pw4wI6EnJ8AP2xGRhXa0Gk8jRaKiPwaVOiQICVoM0uc3QKemwMydLXkJr6DzCPZhxGrXsUxfTrUMi+aQ7QTtXJX8kbkKGFDPjPpON16zdghXgFYuhEm3YhtWcSGoHrbLPX3XA++K9uAzsIPNeEwIZYikmLus2RrMzfUZ+U4XwvpM/aAw4Y2MzBOv46LIEsM7Yjqa+J9yEu6H6SKWrHLvVA9K1cfL3Bc0PJoHHYNRBxNQwkIhALPP88Rn188lEJtPM9yxsGbPLm4+MP4JOjD2M0QusRflZoM0fb+WjQkoaArmdl5BDu6kjBb1Vj+1cjdK8tcLyGkmckKoFUX0e0kMKJarjHWlWTghcaVKKJXwxMwiTb1PUIbYJrtYjk5o8Bez1qHTv7RgflxHLk0W9JbyoR34vppxGYzCC6Wx0DaL7kc3Np3c6hOaP6keOhi4zoYH477SMEpMO844Z072kFev7ovuXxuhk/b8ww3ZzR4F5yLdw1m2BOa/KYTmKBY/IbLlQnahU1lnEFJ+C8SPPn1jcUXbgnUNlLhJXH31IJEhDmce10nbaVH6L5GnjczIAB7FVWUlY97e0hbKck56P0eC/BPz6cWBSz5mSIy0vFiE5tKpgAzQszGjUQlKbkZZd6YBl9xWobscRhZISHIbMdm6cruHb8m1hzuITz3Kysj98S4zfCGHhnIHvH5DpMux2I0nh9c2oKfzzhIFPR8UTExu+vKuKQb6NamMDodAw78luQItnhoi2QYL85NAH+25+G3KxdZxaR1aJIaD1MxsZUClM009m6g9G0Leddc2QCxTIwbaXQ1eFjt6/qeCYYAL1kDE4uDUEXwQxkertBcUsL1ijyAOeip0Ugut929l3Xzy+pN37xja+SYPh/feuuRfkNXceavhU4QJsvzJini/brf/RJzORL+MKnP4JMS5LJs+7qy7ZIoP7//fUf4dXXXybpl21V8oxMnGFPO8P1L7n6L3/9R/idP/0HDAyNY915PdK4PRu4D51OHbvkys4lRpqIwgUFv9IaNs0ygUvXR2RyV6WOGc0Gvyam0eTLxORzBgeo9ngoB69cpSeU0Fb2x2D709AcE5FaAhNVHzYNXp05XZZhjZBOI474QJtc3BhlCzFNPwaIqPsaItlJWabsCrBJGbcOeFM+DlQEDGpelmTwHDluLzN2dvqI0JA7ZtNga7hocU2Ei9+cBszoLajSsYRZQibqoDrtozjic9ETdk4F2PFNR5ZbeYWOaEbIOHskM2PDawys2KZzUpquCQc8BviWOuDJBSbVIBeYFC7/Xho9EL4F4aTVpPvSOOszd5ZuvB02gZHsvEiagHZymZWobHkbbWqkodfzYE13vTy2pEbw88uAxNnYEOE2+wT8cRv5uEtq4DLT89YD4T1UJyDZJYDNIWF564WeFK7PRKP446mP1l+DR6qvQTJnHXMIBg+Z6J23GSx8p+56Ai3fvB+ZW+9G679+D+nvP8TZcHMpmCNqvh2fSEsaOkchNB9sssEYpwmUqHq7CimKpwnU4nClcXTu4/TxHAOy70hoeEtcw2oqe130xMofr35e8DMPKwOUfReeI9BdSeGKYjd+loTdC/IaYo4HQRvz4y5N5Mzc4CqsHkXphGaQv/RfzNAk8yQtdGSEvNRqJV8UDlFiiT/3yhshTaDUKmiUy5ZYvCmbyKtr6wcfzk1MDEq+CU8Gp+wNUH9yJetN9k/Q0XmGGrnyvBcp7gVv/UlbvyHfEoAaZnU3XcIB9IeOahxJQnDdBH+dzPNQ+8nXJJllY59kZE7YsTYOYJT3QtBma2UVyX4RC4mWzTCOVKHbBZJRlRYcnBWwUUK5ZVqWcVCGl4jBqhlU1qG8sqSHXl1Tm15RoxOt2sVo0TYgig4JZFfbYqildWi8cUb9FJY5naHwq4iVH5NVFtreivCtsHpmLXjDXwu060XfGsnD40QxW4FvGqjMZDGu9hngkXzNtt+ZKVt6DppeQr6zBL08ggiBuyJC6wJRhqu1gPlYoz3f9m7U4xdykaauijFJDwEImSAvprVjhX49EqIP/Oq+qJbgmFV4awjJoPwjYy4mo3mYpo8QlCHygj+2BcyZoSY7x0PHplrCjbn5dTGYtHaNj5X5DtTrPrXHRKN2e53GyJFRSOBp7Vo1FoT1Ngu1zhSinoWeko59LXFo40PHsLGN4A+N3ysBGgba35/egr9pvxbvTG1Ecrgfj2Yt/MHV6/GVK7bJssfc70TlDa7bVyRRSqaof1qAaBx3dyQwORHcw8RzNn9u1Ieu6bDqMZScKZzIn24pbruw8DxSLwIOOeaNBGNUPefB1zxotgsRzdCYewm8Jmar+E0lPkJVDaEcfck4XvfzyXq2eg5lvKTe0taLGifnOCuQE+abdpnDtEBC36+0290FTN9xMQbVOQzbxXErePu+vohGfThvnMo33nENywAAEABJREFUEfhYjS5six68fd+Y91KPF0uqBxIJFZ4u35wYgG16OGCk0F5Py43NGqYx7atN9A5xBcSMA/5b37OCg1kn4vTgCwGrSAOG79Om5tx5mLXd81sP4lpzHGlLR6x3Pa4rV1GP1fDmA0XYu9sQnhe/EcbA+33F1+InhZ/F/do74F36Fmiaj5/PPI1/OnIYHVUNT8Uj+Pbq/TAIvBq3NuHyqwz84lsFXnalapbJptAo+kDGgQkfmyMOdBrGUkK9EUZZ2JBpwcFyEnmh0SZ+BZ4nUCoJjEVbsZHw2MOOkh/CkMs4K1o5QKhB70XSsFO9khbiCzKx7J1wD8RjUXz4fbfg/keeOabs5HQBbHKGTct8+wc/xb/fdieuvfIilCs1vOM3Po7R8Sn8jz94D0qVKgaGxyVvWMno+DRsx8Vz+47gL//uy3jlNRdj84bVYfYZD7UzfoQlHuAr3/wx3nTzdfji334En/ijX8Gf/t6757hYlB7gJdb1fLJ5LjAyIrB3H7Bzl8CT2wXu8W7CcCUHrTBFC5E7Z5u3bpWGtLAkML49pnbQzBkBNiVj5gXcCFDuc6S2DxeKzaSgIyF3GQv+QeiOQQtaAyN1B57w0ZbQmY2AB8CigSM3lYM1kYJwdLSnDFimzJZeuxGF7Wkw4jQgUln4OkoFH9MHARqPcKQGwBRYu8ajyNzfilYdtu5hioTfLjuCKi0Eq66HHhrFRrR21CkUkQlEaNDmkoNPUqdw5ATd4YccCdizRvuaG4ympdvP1yR96rCPkx3wvEAj7XRpuskGLXvndA8YwQdTnXjHOd3OF3LjuO1eNI2ZC98hBREGtFt2fhWRMSW4cf5Cjs3TcJ5vWByccWen1MbLsqB0xrv6lA8gnLqsQ3MdgDaNp90ORE6zBrc8QOAx4JNZvQIj5hZkCTcJyCqoVTBrm7Z9BWJP7IF1cBjGZF5+qImZfJp47c4cnPYMJ8Hx0qSajLU1ByQtVu2BQ4KgoLlTbwDHjzi+zL9Qscv4iXjXU12/m9agZskTKbk4bwgEMIhzyMnDI3khU4uBtc0F9UmFntuY60MIF80AtpJPKBkdIi6an5jmzqAyzOOET1xHf720uOLUVE2V53gsxz6WZsddsUrfufEWeKmslMu0/v2SdkreGL+yAPDGC9cT2nAPzcAw7VTcgEurRKqAbfVTcEI/Bv+4gMt21gOAm9PNnN/eLcnhmxucWApQw3zepsuO9ulOpfUb6IFg3LLQUdchCtM47JbgtXXDZdM2dA24rF934Vm9HCW5dR/sFh9aLIZky2ZYQ1EIWlDXkKcOtkh2TcLVq/ATUcnvQY0JMtHEs50xSU3VV6BFrEer2AbW4o6JdkDTUOlIynxtQD2PMnEavXjxpxBelYCMPjiRPlS7LsbU1veguO5meRQ2PcIR0beWA+jjM6im6qjTc7T7mQ7cfocm1xScWU1cCsfsQoQWG5Ym4FoeyinAH8vAK2ZhV9dhpuPXUEq9EgzQc5nFXGinPcp9sQCjOTQO1MpwrCoBpudJrh15uhYU25bMYaHnmLJnf5usrIyzqUvWHpeJwAvHiE1m87r66LbYOrYW1aKBX0humHO8HTuFrCWbwZw1jiQ28wgN9mm7JeJqcHy6f2i80h+idRmFDPx/ZOIB3FaiBRyVZfvEH81dhutiPZQCfuax7firRw/j8oqGYlsnvroihltXtaoxJLjfJSN5PKbc3kUXJtWCdyY34trseqICX631y/Bse/IjlLTOi5boXg/mlaW2IdKqxuHFAPGy2l9UcwBtwIZ1e96kinZeAERiAI0/Hj/z1N+C36RRuYjmVKQcaMmr1IvfD5XsvHrQT3TKnj0Cv1aATvNqmE9kmNMaTMIGfAOodZ74ujocZ7wetbGHJn+sNc/YgyDxSifQkVnMAOR3aEzmdDMX1qnxxmUzhpOgcVu4mF5TzzjHl53qgUkFGSGXVc+mop6ar5enoTkVDBLeNmnEYfXnJAA+4T4pK+aNat6IdcenZTqb7pRh6HnpGHy6VFbeBAUYhOJDwx+P9ZflR9BJ9V/UdRU2TDgwDB9dtovX7bZwxw818CYqFymWgF3PcU3ANVf50LLtKJ73asDzscnYjU9Ol5BJZXAJxgGaBzdt6QCbgeSy7LRiRWqhswx+uzYGZU7GoNG/AxoshH8rrChGvDhqOjDWWUSNxImaMBHpTaHWlpeKq8zLcms4d7EczzTr4AgH0rE2PkdOxMoC878Y3ame05tffx1ymdQx1fzvf/gKbnzr7+ANv/zf8ZkvfBO/+2tvxTvedBMKxbK05X6ofwRveu+f4NVv/z3p3vq+j83W8Vt//DfYduN78Y7f/AS2blmL//OxD8zmnY2IdjYOspRj5LJptJJbCu+5zHPHjzTccafATx/U8MhjQtqr4g+53dn+a8jTRGk8TIJdXmkXrD1PoEWzwKD4A5oaPRlsjwemZMprHfDEyoIST4A6Tb6pcqc8/ZI/gMRMFj4MjBDwYNDw0ZkTMo8Bgr5eH1kRQeJAl6R1E0guI4HHWhs2ldFSeUnxPR0138H4HjomBMY8kGzko69PZs/xUvxame6jQDuYPfUotQFgLfeYptgOmWrXM9euBqKpg1SZylqyz1rxB+5xJf+G1xoybObFAq334rA6RjjgnZAdrTRJ6lS5FlwXii7/XuQ9YAR2/t04Lbhf5Of6fJ+er0eQ33QL5KvzbhXJAz+Q2u5mfuGFp2BbUdTws3V96tm1dDQa88aVBpBMLHvnXA+w5qtenwFhJQRguXBsnYThNE6nDctmJ/2yqzy85U0ehJpiZ1mkFjABB173GpiTFbBmKgv30z93DaZuuQET/+11mPylG5G/+Uro+bIs57a1oEyggp8bg5Et0SxsQZ/KqrzM0cUT22/fS8BInA56Mja7ZYVnyNPU1Ax+FbzsOaAfMvUYpJJyfhpl3USS2i6Ei4N2YU4rwgULyyBzMhoS9/44j29+N4bxkWIDFeiOEUBGlP4yCUMU8o+1I1mrksGg+lx2zl7UuVe+SuZru5T2sUycjEf3gFZQgIl8VZ+ApbhdRaxeQZnkJL6WJ1NtY5ndtro3evRG6hLi1Lbw46ReYGd9sVLNgJOlADVhnWGf6jsfl6R48MyUIhYSfE9MT+JPN7fjX6+/kvrGljyh50QIlKNEZGIfGGzxukxKAbGCknuLUXoG671wtBoqyQJajPOhIyF57EgNVsUAL8ZdlCQt9IrOYRmNO2kZhl4canOheF4gAzaYwgl5TjXUnVFESo/IakoZBbBzwou0wNeovZQIN+20dVsoBRhTBdQiDmZqJupldX68pmAFHmbIt74T0+2/AT3zKniaiXwbCAwnUHiwE1rx6LPBvIs5m/rJQ12OQRGoPsC8P35t3mL77cJHvW8lEIlJjh21aRmuTxCAK2OLe3ECMC6LdEgmNtUSjgNMYBCGw9VmioNj3MqVPlZYMfzC9huxtd4jQSAGY9gd6Vc32NYL1fNxTGFFmPVbCdit6K0Q9D+SSqKk6+B1WeTf/gqf2vFNHKL5hcemj2Yux/vTF6BdV+fLALr+5H3oqDv40JrX4KO5K2Wd/7XlPLB5mfB+ZyLz7ioOomwZaI1lwWYX3phez1m4r3QEjecuiWfJ85KaPJI3Y8twUY+6M/mcAYvAVt0CotRvzM/jLIfzXW1K1Z1a7UugmPP5GXYnd3MU2HKTCsn3e9eQD2jBmx2cMFN0QIpU1DBKsSY/p96E+MImhZrkDLI3nolXUxu4YT7nWZOqj2udHhgbYNqJuHCc8dZsXrSYm/RkvlEUYMBfr0Eez84oOpr8+QGIL9jGdpP8kyF5EVWK26Biy37YA9O0+cLxXJb90+OscaV4sCedQiTiI1dN44n9e1HFqJxns2KzHLuc6SKNngLJjsicA3vJGHQDsNikDD3OFm2sNzLsrE2hnj+ApOchGmlFomyi06ECxNRCY+XFxX0o0dR9/08FUYD7f6qBv82xeSPA2vFMZM13W9vAUXRbh/AeaxIpzUNej8A4PHdcMyYKkm97q6B1go3VRgUJYWD+5nKfkULBjKJCwP9Uuo7Jso9pMw02URbOTQj+Qi13e4XqeDY/E2TBTtP8SAmjTBsAFC7/lt4DP771U7j+6q2zBSKWiXu/8bdgekjk+LM/+X8I3e1f+ku85+03Q9c1dLZnZ+lhPodcR1j+s3/1u7jzvz6Jh2//DD7ywXeAjxHmnY1QOxsHWcox3nDTy/C9Hz+EWn3uA7OUsucKDzd9bIwGGxJOGPDmQeIiEgJ5sV6xMng8cRPKZYHwFeaIBVwcvB+8q1pH3ffAk6twQA8uCbetHg7aebxz+Ie4L6rUB3Iz582erk4DFbFiog6YQkOudTYLa0meyeokQo+1ShMwLQlxNJNi7XoUJc+AlqCBUwN8X0OBMH9vFNKcjKBxNJsB6J4n7rm/TBaIaDqGaQHYQnUw4j5AC+BWqoc5hw0qSJFkalqagWHwvDpNoy/RlvJj3qf+U90HK6/UkV0VVNykMGu/G1FabFTJVUD9pgY8a3ofhEtSQpMyx5AiVAETC2ojhKPL7sXdA3pNTcROov3FfaLn0NmV+q6Xr9L7NPaYhX6kd926IPB+tt9ACAUlbteSx41T6tvlwifTA8JRY7oggZ3LF9wWDmDRXCoji3jRZw/CmMgvwnHiWdoBtUHDICtrt3MNlc2r4ObS4MUHp0NnBLYkJ80OuDRni9ZRaCTgp7TV8GcUl5s5Ok/uofmVqd06EJs7fTP5eXOChA52vOBnd9AuwKXpuruSRryL2l+jyZhaF3PV4pw1Wik5+yv7VAGlEgHYSNE5v/GBUfQfrEEQij/ST6uvhtzWiClTjRruTGDNeg6Xasededl5PWqjTZpbyZ/8/C8C2SF8W85rU0oHrQEI369OmQ950i7UlO81Tuxm0Nl2e60C3hTi+/R4DfBCG8uhqQ0qqw2qhfjxgBqu21uzBazBypqOWv9+de9WKyjRTfI/75/G6wfK8ONpfE+fwYfG7sP3TDUXIz8NNxHIb5NKfrNX6nCFibh1qdzQsi0ftmBFEw82LaJjWjtMJMB/dZMeKooIj+5BCsOfjRJ8uwid7lFDV+NFmGdpJMxSotqu6hDUXkqe1l+08oysjz946s07PmdwH4H6mO8dEY1BozGKQe7prI1KTcCvZcBrCebd/rSAAt01eHoSUa0TMEzMdNQgGJkoxpgNenlMhsfzyr5aVySE2nhoxm8dGgG3z6UO9NZukiy81nmyqJDRtdGUpC3F+03q77WlKYx7FTSC7jyGcPk5H+BjQoPr6lTX9Tvf1XDbN466KXpsefwPAZmGIk2jhulj2kzBpPVTXE9j92t/Xj4b/9Abx67yCDoP7MWfPjOMC3bugLbzMeX274B+562yPufaN4CfIwbRr4t1w48n8Q8bOhHe78zE88KtvWn4iRSYh2nt6U5cX7Hgey5um1D3BNPPpvMjmjycUYzKcDGPwZ9wwQsAABAASURBVN3IqIZYoACmWYrbo3tSxeb6wUujoEdbZrCSmLy3R3ZD0HpRF+oZ48zZMWZgHyeli6shEzVah0rCPE+M9iPymf8PxiIfqZ1X5AWRNALg1PPoRqYW8/hJAdziXg5gzqhrxnNuZETF2VSPzDwBT14LHmfa6FkPNs0WKm4Hmux8bGsiOCbhEQvxM91rVxdQC+cNJp6i80z1zPO5n2JVL7rixaLqG1awPF0nZ0wPy6qeaskgRcN6j0sPfcsOOI5Ah7gCGiw8PXEEhqfBpudZSxuSf44Xt2BNRaD5Ai1aHZ/NPyPH+t8euxcfn34EW4rjyOoWau2bYA5PYYWewOSaTnS3tKMvVUZfbRS8icqa7iOER/HYftFF3pxDaIdScKt9cNMJvHZ0N3xd4L54FsaQeoZCZlaA4fgDLTT5U+TiiJIRWOam5OyPN3rLMDCimXB1E6UVJRRp7GYTZfwGJzMmSA7hMJyrfALHHJLzmWYGdty9SBqulSbsqbrkOZjLL7uz0wNs031FRw5CiLNzwHlHUSMpE58H9/l//w4++Ceflu7eh7ajf2gM7/7Q/5LpkB6G5YpaxD0PzVzyIUeG1UXMEt58w/U++CMR2y7y5Ssul1/qY0/7jRit5eBNTUN78E5Z73m9AmlBg89oCttjE5LGi9ji+Y7cSfzU9FNgczE/ig/IvPRklwzZi5RSqNGglnd8RGmwaBx4WSMkQfLNejODDVYGmXk70wkaWLgOI1nkACDAPV+xqRYfR2oAbQKimTkZ0N8KkvGFDhRqOjockyjAZM2WC6s43ciDBgmhoAFSH0Frp7rFRndRWnIu7g095eKhz9WlKZloRmDNdU0G9HlVJLvUMQqjHnjAs1O9kiM+8KAMj+d5LIAQkziFBTcVX/69QHqAF6PCrdLE2ALWvn6BNPtF0Uz5Kv2294A/huM3AO8tz3xJgu+p3d9Ccv8dBK6oxYavW2flvBvHjcU0789KY5YPsmAPhKaGPN+G5wmU3AxYICfZd8EynMECceLhnYg9qe4rpp0OJ0YVYKUTkMbCPQvh1S2rj6laEEJlTObB+cV6i8zXumk1QbG43wMnQFOdYKFLZOwNQNpgT55J54QTtPjihngkA3BYIQDdrwtEXQOsbc6a3hNWAroPxDy1wDnkBKAqFWCNeArAGq8cNjrhV7Hj0SHaw6e53PcxNUa76A0MuQBwH6iQkNJAT62mg1G6cIi8E/mls3DZzAqV0RrAH0ou6VdVmCPE2JDib++SoR+YZWkL7LpX6Fxkxkl6J/3B1FoFoXY7261f0uEJjJEyEZVlkw8agY1cjgF7UB7HF3XEE2qwMkgZ+dyfITl4AMKxIWgT5r9N6PjEqteAzYeUfBtf8IbwBxd2YQx1eGaa5uQ+kkcBa3Iv7BUu/BYTkUgHzFIbKhEfFT2Q71JK+UQXpmyOkzRgVQzaqPFg+2VJY6/q0XPmeYiNO/DoejMtdBFkpOaenYmimotCo40TPmecxj+9dljWVosq7X2ZaPBEAFD5ge1/gxbvLm3E5XUdvmNh/XlxuZZgxR0uxqD7o48pmTeqdcA3IiiweYl6FWI6wizQa3kZHs+r+tQ3xBTFwooH5vAktEoJtlmBG2jGTk4ITEULiFjAFfGFy1LVc36t/Q/jLyeGsIbug3FPge48NoSbcvPttzcWvvRiHyt7fXR2QDpe34SOP5bdyLtYvDULFPUYDMdAe9nH9vYM/u7Gl+GuC85Hm5nEx54eRtczj8G499swCWSX7rtfkPcGPwMum0EKDvCmxFq0GQns6MrhJ20JhG/K7Bp4Fs+mI4glsmi0N/9m0SZL3ju9T67vZCLwdtan8AdDP8FnJp4IKKc/8JJCVmqXyjKc9ZpEQq3icLyXby8RXyUY8yg6++MN5FpAj2ZmydBoQ9p1x+En0tCL6ticG250ag0mnGI5zsGCpsH07Q9IBv3xuyHG1bwrCS9gT9AcrwdTmV9XHeiu2STPyC0dkWHYb5ERHcxvp/1ZM7OSYYkeXwtm9YO3Czi+kOO36jmPj22NaxyF3XKcNTyN+7zRyptzp+v6hO0wAtM2siHLnuyB4VH1PJ3Otzutsf2oCR+HYkm0mAZedvV2CALND+/YAN1tl8fNj07QHCtgRC3oNP5LYoPnRQ1oNbpn6HaJ0g17T2UQPL7zeM+g9RWlPLIiCie1UplfFAKXrdoE9+INMAwfVxn7ZW0MtnOE31xqlO9ZlteLZbjeWlS7L0KSsCyDAKkvtLVhvF4Cm5HhcuzYNBuHd3a4aDeqyBk6YWUdMJEA/3mwUcMk2vQYJ9FP4H/NtFDpqUDbSu0zgceqavP6TUmlnBFquHOB0I67MTzBSemctJJPlteRsjuWvYYeoKeiIXWWo47rwraV40Nfd9VWZNLJWVqYxyHnn+tuJBgA+cOi89u6aaMvhcX7Vr4fMzMC+kN3wpueBAPjbdEIrIkU7rHUayil8xzwq3ifnXlWaoIkDnTiWS0P1wftdgvEXZI4AcTLaUzTwFahxVx7WkPjoETZYI0QQRF2uVaKNPx4sWv7OmDVISJVWqAIVGnx00Yj6LgrYCZ89PU1FGiIJpI+WMN9rA54hodOWhT0l5TUkNWAw0YPPOFCixxG12oiUNmx3TT6UrjQz6kAu+9w5EdSnSrkx1Cv/FULhhoHFyom6alOPkNg6oA6RmhWJjr8OBjI04+j7eMHizDtRSLEyU5Z9hbsAaOkFpnLH0xdsIvOaIavR1DpuRpTDcA7A6msXW5N7wPbv2N779yIUHjh+Jl2dloJStbU3jN9qOX6j9MDC2VrNQUk+YYF39VQRhYMuizEH9KtI+qZtw6PgMHvkH4qoTE0jtg+mrNpoWkFb3DV1vfCnz8R00HMQPPGyaZQGDfhR8vQe0alxlDEy6BSdVDVXJgpNV9SETxV9znAekPNbzJxDnjh4pdfO2fTCIWag4hjIBUzoFenZAsrZkSGPfSsc+SQra4bx8fcMgdoN6IybPQmjxzB0GgCDm2m+JRRzh8F6imJqK4hTo7jvMnPIbvjgTXMs5ALzazoD/1oIZZZOgPs07uBI3cKPPdFDfu/rmH0cQEtBE3TCjXyU4TqAWgtqf7oZ+GN0if7G3A8WfREN1+Mh+mcCDj3utdIrVxZyVK8tELNxNggtMAmr7d2y1JKSh7nihtlyAA26PhRuoV900RxxWq4N/0SViU7wLaxP5q5HG1GAgcTJg4ZLljZxNO30IIesKaU9ms5G5N1ZcY3w6glpNOMONwWqtRz0XLvdkRGpuGgJPnme3UxAxDYnx4xia8EkwDtcFHOwPXwEXXNqu1xWVRrMHMhCafgae4MDGcEvhalDX4lt8+vbtZcT/BWhDY+g0JLBWxD1qtnsHkTPwkA26Z9xXU+eINxxy7g/gcETFB/xFrh0kZEqYXOnzpQ6zehl9V4h+P8VfwxyRHVmreNM609h+D7LuxW6p9AVn5qvICabmNFNIa4MJntGJfc/30pfzdmGJVxJGm98qdGN1YZKTAI84nJRyULpxeqixmiNFy84nofr7nJk+7NP+8hdAzEM89SHPfftJWG5Zo4L+/j1uJe3FMdRGssi49c+FZkX/8e8P3rbnu53IxzaUPO66Hnh5x90y1zDtFOQM2bk5RHz/utK1swsf8paDsfxU9SdG9G4nhN9vw5/dPacz6uHy1B0DMR2okfcytSC/QTI/djqP9Z/PTIY7inohSs5hzsNCQcemYEzTqRYgoe6ljsLxzndbW0g0HrPuZvpoFeHRdg0D2aA/UrnTsx8hqW3xxy3Qn48aR8e5vI6kf30XxwdlE78dRf+oEDiCXfBMNcCeM7X1T1vMB9LXhbwI2A5JmKPBsveOvKLR8AaKMwvA4h8H0yH0vlikPlAO+8xc3JMK8TmpQhoNvMq+u52AdTuYx07StkIPLTMjwdHvcN16NVVTs4/lJ3dRvS1AqPZUmFHZ9Sl3jw8UeD98CZHkbR8DEYTWEdAc+J3CiEb2H4uQvwyKMCbBLm4MwkBP372Zbmx8zGEZs2EXEFWg0HvCn5O5lt+IvWq/FPLZfiMmEhYibA6y1jqiDrsFe0or6qE24ijh4aLy4+T8mIvLnK2JlkCrxQlq9sXoXSqhtQy52PZ7ouRJlkzoda6jS/HwW/uf5nki6KcQPrzRoSwkBUtCP8G/cex4B7J7oNRTlkU7vbIuhf34KVFyXAY3PJt6mciU1WVjKFGu6cCO24m4F8L2mBwufy98C4N5ZdYw9ojYmzHf/1X/45fOZ/fXhJLh6Lnu3mNR5vSfGhEcXW1aHC+f7ll/nQshk8nbkRBdrtr//HP0iWC1YZMrzXmcFzV86g1uXh++XD4F3Btp2r0blrDYy9XdgeVwNJNr9G8lu1OCaqAC/U23PHXsp1ik3yzh+U2/Qo6gS4u5qPREoNevBN9Nc06NScLAH0limLHuNxXemojhoJzgXfQwsJroNlaghxslmZGb0FJY0L19Ha6RAVmD7oSa11mZjnVQmseOjzdRx5yAWvwde/2sDmnzVgxOYxLpDMBqB+cdSXHLX2LchvvAX8ao9BYHvmmS8hNqC0IyTDfC+VVZTgVXiVWPZfrD3AwC6fmxNf4EHlzGV3xnugEXjn55VdYf3Pgj+Kw66w7g1wIwsIdWegdfXsOlmrke+X4bJ37vWAUR5VjXKLcAlwL3ktSNHmsCIu7JtsFiHINiYKQezYgBd1mUcstDzB89ex+Y2UxAME9FWTNE+thDWSl1m8CJCReZ45MikptbZWlIcp2tkPjebZhOiGNR6hudjFdKIOBp0oF2zze9LzERcC603BpHPGCTWlg7A9lH2HroOPDNtvb/Uh6hXZzkoAtF8Sa5Ppw05RhuyVCbzjMCFMDmYdg5M/vd+HR/mZ1QwECkxMR+FWpmZ5OLIikAUnedXJBHKsWa9bJAtRN5+oHXevVwFmDA5rC5gUmXxWYPd/ahJgH7xXQ+GQAANMdGiMPyEw9CwhTZTwAtDUD8I2ttNH9EmPvFP4DdDilYv36ku/F/SH7oT+5H1cDO6VCgCXiSV4IeijDRyAvl+ZTQq1m5dQHCBAzf7Z98C+8S2ovesPkVm/BX4ihfFUmu6R+mwVbJbjdYlVEJqOnS1ReKICT+uT+RZtvgq3hul2V6Zj0z2IVtcCdG+JbFLS2LyE9uAepB45iHrSIHBbB5uUsVGS+exV6oMgPAEt4y1I3vc00t9/CNlbfwLrc3ei9yf3w9zpwnEEymuUPKCdRjvuVm0PNwGO3gFfNFnDEJA4366yThsCU3Al4N7X1YJGOZwVdF59owcGWvbtF5gkXCsaUWZ4Jrtn6BgG9CMGrENznxnZiHlexRuDh7rU8DeRQLM/k9qiFfJ0TVw468+fZdlRV/VvTQay82yOivCH0SPjO2GQ/B1q+vG1FK5aJyTtktxw4fGuRIAGl9ps5Tg44441QhlwNx0Tq/IebdR44LGIN4Da9ZjcmOLnxbn2Z8AfVmYz3lZ6AAAQAElEQVRnv+l9YMf39fwGXhfrwWWJboxms7i1J436XV/Ho7k4fNqMuC7WPYedTanc0k9zRbWMewqHJdD+ofF7cU+pH4nhfmzJ1wC7httGnpRgz5zCpyHBJjo0mIgUkzTnzGCxP53WqGG+oDE/3NSsF0RIng2DfVZQN0CjU+AMf3wfeLPNowWjl4hJ7Wyuh/PY+TTucqgFG1y6BUSDW6A8NPcY2tgQdO88VLQrgNgbwWM1j29c/iy4M3YII+hjJ0bjFY0FoM17vsc82tyBX6O5b1D2W3RAh0nAN8+5tU73xNtDdUuzYFS/F4Dii1XCx3ES/iwLa9UzbZawQMRrU/e7FmzSLsB2QmTeuOECelVwsOyoB/gNIwqwFGUT5juee6I2hmRhFI6w0R+LoqobWGsqTKmrpRWGboLnm7/dtx+rJnx6FjX4NF83q9eL0BxcNRAhLCkDH29MrsSlkQ6c5/pIHPqJLFJr30zA+CTJAjbcZBxsftGnic4J7KJf7e7Gja/0cdMrPckfeqwsE9mj1mc1Vm4hWaC47mZkVl4PP2bhR7k6rMNqjSAKZVn/ne02oAlcYFVlNTGoeZ4TFX+cA5Jjh8FzUZlu8klNQ0dnFYXofdhh75P5DLb3GqacJ3iTuBzMWc3suDsJVb9Ocx+W/5Z7oKEHtIb4ORWtVOskTC68MD7bjS0Uy5iaWbg9dXqm2Zbg6uIAVj3xGNK3P4yWb96PzK13I/fvdyL7Hz9C2q9g64WeMi1TzcKemJLaEOcFZmUSB7uww50E7yJ+sbALyT092Ni/DlktgshkGj9N8kodSE90IlJNw7LTGKs5cDQPHQkDqNOA4h0doFjTvrtbYM15AI1lc7qMBcsyA+6C+K0KfALPVxLafYTOg3B3LGROJqwkmwF0WvyVaBDtsiOoOB6qrodWoo1o7ShpFkRkAlGnhPaN6jabOkTHCisIwiqD7Q0mZK58n4W+q/Qgd27gTg7D2f8kBC3CGnNiGSGThWFfhuzx7unMhe8Af6iR02xehrXdtRoJu0xocB4tDjkZaqlxfNm9eHsgnAjdePuL9yRfQGfGwDs/r+zq2bWotW+Rrp5TAPjZOhW+H1wrDb2eR3iPnK1jLx9naT0gnJpk9Gh17jk6Sl4ayaQa/2VGE4+1WfkV1DAr1JAJ02FoTWhIbzeh0zRq0EJYEMgQ5jUL9YlJSY5Nx6Vgz9ouvHCQxHmeGQD+k1WFKIjeAQiNFiCiB15RzYsjmcpsqe11RWP77bPE2cjzG+FNCW4Ba9VKzXUCK1eUU6BLctS0Ci20mGeVmeIAjVpBJY+EDKLGhEH+0d/u7WMoFHyYRg2HLuhFLMUgvY+JibnXtycekYX4uzEyEngR1bWozeMPshcN3CtfJfNDkxAy0eCNPS7AewZGEsis99F9rYd1b/NkyOc9MdaL3dNvRj21WpYKQY2VU0MyPeHK4KS9I46SbXqai0bH1MtglPHwnZLuXHGjBBFlYomeH2wY6PsJbCewxkvlwEDQEotLNm/VBnibLjtaLljAa8Wj9zkzrjJS8GmR+2wqAkKYAC1NZAW6M1jrtVpw7AIieQudAxcTXJiEk/ah0eZI+b77kZ8xUR+goihBczT4JJNSBfLnEaBse5Mw6jrMGRfFZB71bAS2ZqI46SJDY/36gwRv11yUe1KyjASL6Jxl4hQ9s6IAdzumPpg5vzoGEkHH8hioIjCMQQJ7ooJCjAYfXUcu0TK/CHJZoKtD3Q8lAj+jEdVXpXgexZddJPkjz0xifj/LjAavglGZSmo9MmzmGcMTENUKHLMKL9CM5bXO3kpBsm+Iqz6TicBj+Txx+J4ghdm5VKvlj9IoztrsDHLz9eeMKwiU4fBMO14LiagBBxbSdQ3trok/zl2GdgLbT/bY70idDz/Tirs7Evj7NVmUDIGNrecdWydd47b2PkgtdwbdK4PykK/YewR/9Xg/PravgMvo+k8Q+HVbSYE9kuE0eWyig5Z99JzQ2BuMKQtVbZTEbJZWEwg10EPTMbOZFKlNkEe/SNYjX/3E6EEZ8TZdghC8NYqapLHnrdnCARpNeZkpX9IqamqVcfZ4PPP0iwFNh2Othm5uhhzf8lOc/YJ1Rkn1R2hOxrNi8lz8dgVcozwi01EC3Dly0h9L5XGcKvBaV0CC+hQ/3s/JqGvBfEvVqvd5o4AKiDF1X1P0lH++odohTnEOPeWGnEMVTE2rxuSyqm9U6uT9MdoIXVdWlT5Om+JcU4+h7s1MKoHLLvEwnJjCzvokImV6DD0dIqfuVead4zJxYhAwChYgaF6uHEBy/x3IPvXP4E100F89sxZ6oN3udGWJon7li9U8Gdk7gN5UmR93lRH4kb2DTWVtBvSjtMF5gObNyYkxya0PTqCoAw+0A3G6eToNCxqN+TGNCMThoU7b2iWKAWxajecjTlS9Lg5Q8gdgaI/ihvgg1loDOOR+C+0GnTzlHrKL5ANyk2CeHXdeR/p6dHkdKXto2WvsAfVENVLOcvyP/9c/ge20M+AbHvov//7LuOy178O1P/9beN/v/59Fge6wzJkKy5UqfuuP/wZX/cwH8PKf+y38wgf+HOOTx2oGTNIir6M2hWuL25EcHgF/udiYzIMX+oIkVK1WR/yJPeDXQvkDSM913IjRcQGx4/FZszJmPoYfTozgH/PPIDKcxZr9a2lHzUA2YkCvWDhAmxCgv9hMCqvtm6GJBIZrPlGArFWD9fmPw/z2/5Pp0LvxFS5e/rKjQlBI5zAhTA4QbynIsO7+/+z9B4Bkx3UeCn91U+ee7p6cN0dgsciJSCRAEJEBBEkwSqZFWaQtP+l//vUsy+E9W7Zk+6dkypKessQABiRmACQBIhIZi8Vic5qcp6enc/dN/zl1u2ZnZmcXi7wgt6dPnTqnwq1bt27Vqa+qawzM2OTVfZzoOBkKld9mmn85NBDOlHW0ekE+I+UqMo0WNWAGBoOGabRuDJRjO48vx+7vOeAjZBiU5yNkwg3wXF5kkSOqebjP3Adn1yOo/eTvIYaOnXMYbxwpUyXwno+mUcl8Wv0s9V21ZLd7cu9d4AmBiiN5A3AHTXwkSeUZ55exBvjZG42VZycWDLy/jPd55p5eXw04jWNlGOjRCBTgYw1iQ4/K8+WT++97fZmeSfWm1YBenpF5ub4D19WQ81oRiwVjoAxYwVE7XngnDQfrM8eAH5aZIoM6EnsM6ITn+4RFsG4xOMDyctJnZkEr1dDzlIgCK43JAnmXfHn8ZzuAjfN5NMM3bOgdU9DI+A+LVtRywUzSigfjJCc+SHgb83Mswey0Ip3AFy4Q7zzjiZpPw3rUM8BgtGj8SiwbinMUnBsLJlP8az2pIId3CBFDK01KmDN5pQm8vLMOj2Zo3jaBT3T2wUtZErbPzQX1y/GYMiGTmfy/MdLTcBKrgnZQnnjtdeZ1r5W58BEI/vxStKc0JuDWIe9vA4PsV/pIbQAsukXm/Td59CTnUXEyOPp4M+QOewLWGNiI1qs0QazLXyzIC7xOZ8wNEr7qP0wlG8b42V0BGEVJ7Pd9FLxbl7yv6es1dp+C8uOE6nxx9r8eijYeyaxlHZecd4/BMMHHyhS8nAz3RQAim4URNHeGMVQeg+8JxMppGCIKPt7Af+BuFAhwBrUZY6qMWsyDVdWhee7CRLrmzQP0DCJzgmIJzLfZ2HnLDL7adRbu7r4WY9F2mDkL3pwH23JR6wom2xIIxxv7CL8Kw52SmdQiZ0m+3BGNnaBqt68YnQVPLwodDuJxH2E9tTyJlFPBawU+xjKstQFWCJUWA/UmH16nA41Act70I2juIROs4FT9aamNoFXylRxznPrbWpkAUx1eY2csz3WGrDmYJrA13CjIosTR0afJxq4uaNRP69VRfhyg0djKPCpM8FEDf9JyBTZYx+fFcd4K4p2h87QYGPNM/BG2oJ8Wfd7IdVr1CD7SRKB7NInnmyNAKIrb4tRJrJApA828yz1VLGKzmcFX8s340kuH0UZ1Yd/4GXxuguqOwfjCEN6Ko2W8uC5LpRUbg4yUljr6IrCdQzRbQLcgya0TiEaExof7u8KgkFKUpn1qQRYlajukdTefD5faMnmxOF+vsainjR7lIElRwoPZowB89oP6IO7THfTDN6jsgvrjyK0QtDBn3vvXMsq71dHoUXPZvcYvRtD4HyBeA7h2i8Gii94YAl/PP0vl/LVGP+Od9FgwjnmMHOpPlcT9rfKfjKs+4s3cvOY07Du9GLSxk13/VyWs1Hg/efH1zbjnQSePLbmCzOrpkI6676HTcKVs+U0St6qdHews750SNJbSsNp0/GKrTBAxiAmEZ02ATLL65A/lMaGkBB/3O3fO5+VxMtZAsIHU7iAwiQOJeMNKbV2wAMx4GamWfFWa+qpgnF4ceEG8A75pYLdVhT42CzFbwEDERSGkYSPjY0IgJqiDaiSyUW74QIB7DqtoPGBFzu3AKv1DSImtmHYdtBoVdJtDqGIaLTrZEwD21I/ZiE5nM2kAXpyWHnLsRHAPi8c8Up/5/orXgPZO3v/45Cy++8ATOHfregghZFGee2kfvnrXg7ji4rPx2duvx5PPvQIG4GXgO+Dced9DOHBkBD+/+0/x9A//Arqm4X/97T3HlWRy2MGFsy/DNH1Ut65G/gMXS5q7/WrkPni5jB+iVTutWAH/M9VS51Y4ZO/UD5GxQav06liZyREdc0UP3bs2oFOPYtvZPjb06bCEToC7gzFaYePB15gXsH0X07Yvw5qq4xCeA23oANhAwSl8WmjCW6B89WgR0HzsqXrQdYH2HsqT+sqTZdHe5lNcoFDTkeQtExR5tFRbANwnrWCiYJYOId2vUSjksTKLAfGhp13kBj0YYWDLLSYMslNlxGWO4B3tz1GdU2JX1+HVa6jseBTOw38PMRcMAqnGsTKFKW9ZasjOnXe7u43dqzwhWB7J4x1GpBSFOXLPfH9Za8AoBZNMJ9oKXw/9st7mmft6nTVQTwe76mNDj8gdGYmD30d44kUw8GPOD5D/2ELfSpcQng3+OT3vkJf91kqRzuhedw3o9XmZVngVCcA5flSOuVJ5Akca6T5gzBWhFcpyMVwBUVpVILnTRHRIB3/KfS7UPwcTLmtWJlGt0cBCRMONgA4nnYDdeWzigEUfq7G7neMwMOF3HoVOY52FFHTHgp33wMfCGYmgDKDPQZsc+q4zBbmn15frjEvECxMMnhO+iVQtAotAFTV+UnVzFDCg1m8EE7O9DVChTHYKB8a0Y0bGgV2TqNV1hOIV9G7ZgGYNSLS2gj8T40sfRMYK0i3f4R5pVH9pjFO9RqJFdwaGZKqRAOSQfnKKw8EzaFpFwgrfsDGHtQnqJ0J52GUNR+/TJOjOgFJPaRa+U8fool3XK2RxUtWsB5R9n2wrgUhQlJXjkx1p3vs34EUDL5FG/Y5/DW/LBSvHPQWtAn04qtrdzP7XQxF6nr6mo0z2m0428PI8NptpqTqaMCX3d1NbjwAAEABJREFURY/keikArEV7o0URgMztTuz8KeaHcqhQOkeLwHU0GPRuY9mnLnKA5yGaFfDJdrebwxja30NAtY5qaAaJC7PgzT6hYUOmLHfTKgr5TvRLBwpa+Iq5aejPPQzwC7CgPebR61Nkk1dhm33wRfhYwCIf79Jn0WsAbMUBakPCQy0FCbiHQB4c/+lsD3SzNO83EYMeaoVLVVd1c3BW6fAtB3qxhNgze7HSx0Od/nIyiBf9pGeZw32kdXBAauvct/EiEknDszaKZhmpkAH1bpNafnmhmsdL3uHHx8KxUqvnmUFxFrRagdkCtXGHuCC99Z4EgXhzoSYIX0NsrvSmXPC2+Fq0tPQCVE+bWteBj0taKWOvZzXa6g7+asck/sBYi66f/1BGcxq/RGnp2QgG5EVuFvcUj8iwN9NRgLtbWvoMFl/DWAZuqrEw1Ohja7NCRmewfeBHGhiE5wVXi14fnRZkRb0Oz5mH+mUM/xqKE5jzQTr2g/pcOe8iQF3MBJ12pJF/tZE/x9P3vohKZQt0WuEx2wRqEZ/aNy0ymRfQeD4H/ZmfcbR3JelF6hip5Ha4TC7gU9thD48dkldGmUniY13slCf9r9XRj+yRSdw1WyQ/FcduCvpch8Z1Xlw/lTTc9pc/01NKt0IkUQxsPe7vOZjbFfMzBHC/z/UQj7H7xmlPbQ5nzc/B1gR20GpkWOjQRVFmbGlpAp4r2BcfRYLskFV5GmgoROeFReLLv248Ap9e86ZBixq0j2JcXwDai2uuhxdKyiRGY4d7vb8xmEkt2TqNjSu8UcYcz4KPkIk//jJS33mUbHcar8n+q607Bpw3kuGCUBu9PyYeztShD0xK0P1n6Rr1xyZWm66MFl60uFz3jmE9LkrobOzo53+KqsFCWGzAd/O9OFjrREgT8OGh36rKfDiO9JBjtwedlrn4HPckjQMUxvNGYme+Z2pA1oAm3XfIOTQQDLIfeO/FCyW46wePgM9r//J/+hJ+70t34N//zmfxg5/8Anyky0Kkt9HzwM+fxUdvvgptLSkk4lF85qPX4d4fPyaN9MXF6Bw4hJhTht6eROmiTeDJN5NHnY+bSaK8fZ2MHn9sl+QbtoYxmdyKCk34+Sd1i4+VaXt2M/rRhLVrfGzf5oPB7RgMhKfSeDkyC/6EJnVUfAfzjo8wdKT1LKslaYt2DEjFCRyeDHuaDytWhqA/09SgU8fS0x8MtMuTsXHFgMHMSxo9Ix8agfPlukC7F3TAgwcdmhAKmWzYbCcuoFcmKW4BqQYgPjfkgT/VnI+jjznsxZYPmjAi0ruiYxx8FNVcFunuMXRtLyGx1oYZseEU8qg9fg/Es3cj0dilXxhfuewMruY33y7z5wkBg2JSUE4omBCJfDAJUerF/Iz/3V8DDITyXbgEuDM/Q2dqYHEN8LE2vtClikEDO9GDcvclkljJfYfW2J3H8mIStDCY3PNtxI/+BPx/IzIv/AVSL/09Ege+j9jQozhRusV5nPGfuAZU/Xm6BR8uKnYUJT+JTLDBZMWEggA6Pj9dq9QIcAOBPjTmOB6ssSriBwx5hIyZF+B/zJU7z0al38Wp7KjSpifk9YQXmFBuOiHllZzQwWDSnLM6wMCE6BqDZviIad0w5zVU4WAsUkK7FQyCsx6gzm/v0VfK8Z3VKcCd64nBc8bPU/UIrIQAahVkQ1QXQkAB4616cF+DTkEWnP8RFXtaGvrK/Cx27zXomQqsOz+DS6MhDkZ3S8DL+aKUldMcCuyNqusqleTRTh/UNFAlU4jrWSpfg+NtOl/G9n/xU8mVMz8Q+OK9K9sWvJvP0gtYs+kVJPqoZdaB3AEBv3EsQEuBCkRZjCwtLmlO7XvI9mTE9cFtS/9KjvnTu6ARcMVgO5837bd0rhTtlHWq/AhFXvORNMsvwr989Mm2LBs6RJ3ewWUR+hmtI92AE9SVrzeRBBiNX7TY7S2oFAfglSqoG7MoP/EL2JTN4Y23Ix/uhsvvYbUo0+hkk7LHpkl0yRuFcG0kpjTw7lhbW42xXZdC88NYc9Zh2OunYYaqSJA9XSOgsNxFbZcSi5FXBzr1XU/DePon0PavvAgbqh+inAA7FEy+pbDYoXdFmx2XGq97NairwsiuPNyYi3jaoCl/Soat5MQIBGP9XMNcjYSCBYpadRBOogXOljqEqIM3+UR2HOSoS4h3/nuoI4w2+UubJYENIfrSYYhqCa5Rh7d2c0MLPFuZkf4NUUJXpS9wBI1/sSMPSqHSsR18NBwL/ItCDtMXjZt6fZ6D3jHiY8hyWojahgatVHnTyvE7zech0bEWN2WO1dfyzP2WLgKi0+BzyEPf+orsM/mfGrvbg41ZDgHvt4/Mo21+HjNOiUD3w8uzeGNyPARNGLQATZdGowFh6cdoHHXi6Z4MUH1+pEWK4CNfSmNCLi7yUVvRDmDth4O4Mga1G8+vw6fFBZb5KBvmwqExgj0N8hu/mtAa57irY2u4D29EgX/4EGxsAE044dP4XD/LgRDUv4YvBUQ6+DVPfg7vto9wAL0G6peIGjtmhRWHqNUhFyMSaTj1YeovSaabO9VjXSjqkq/GfRn1NWrxY0ngSQQG2QtbHBQ3UkFPEu+4oGRKqsQbOFZGGz4I6x/+G/RfPED9YTDuqjYoM38HnNPpkrSWKovD/49Cet6Aw+eR+6U8El6NxlITR0NR8JEpJS+w10xE8WB5CPy5mWyBJpvsG60ZZluwSM36JZQme08ImGMdMOotKDW1Y3zVBngNoJ3jmgSks23OvzrlX36yTpEXj6C2rhsczv9vJf7ELjmO6aUyOG55+3rJVXzF5bEykRh2xW3MTE+hPDePZ6mwHtkcm6ygbwprbSo66mLpGJTil5FCS2zQEucNIjYEil4aIcRJQ6+lVpV8wA7qhgW7ce48n2rBMpPCF4z8CItn6EwNyBrQpPsOOTPZYLDvaE0vlGDnnsO45LzNYNCdleeetZ4ZRicCI08Kb6MzODKJvu72hSv2dgUvbL5YlrrpiRHMvrQL1YFXYOsm/FvOh2VqYL0ilv3NfUAiivHxIcw9vwPCG8JU01b41A9YB3YgbA6jPzKNplIWa+1mdLXouOZKIfOxtBE0+ZMw81HsjM1ACIHR7CCOFIbguiNIhAlwr08EemFi6uArQToqB1+bSZWFOctMHTTBL024qFWmCIwYhCk0eIaPzZuC604Oj2D/oyMYfkDHga/rOPwdHbt/MoxDzw1hZjddl2a30wT4+5qHnrkcZnJk7O8YkeUYNttoAq1huFTE7JHdiKwZk/U1e9CT9fPsvUdRcEYQXjeG7rMMqeMycfkUsRyffgn1o3tQCGcx5DRjbE5DstVH81Yf8f4SpsnIP3p0CHUnWMjIj/gyL5UHc86HyYincCh2DoYKPrJ7H0fYLcq4HDYeS2GU6250cEHHek6viGVFSsdc6ZizrIhlRUrHXOmYs6yIZUVKx1zpmLOsiGVFSsdc6ZiPjQxhlGi5nmVFHE+R0jFXOuYsK2JZkdIxVzrmLCtiWZHSMVc65iwrYlmR0jFXOuYsK2JZkdIxVzrmLDNN0WKUEILexXb5nFmniOMpUjrmSsecZUUsK1I65krHnGVFLCtSOuZKx5xlRSwrUjrmSsecZUUsK1I65krHnGVFLCtSOuZKx5xlRSwrUjrmSsecZUUa1bOha++qep6ansaB7ptxoO06FC/5EqrbPg531eUY0ntxVO/H6Ow8EuNPy3tafr+JiWdgMhgRTmKoGpX9zOhsDqH5I4hM7pDpVN0w5/SKWFakdMyVjjnLilhWpHTMlY45y4pYVqR0zJWOOcuKWFakdMyVjjnLilhWpHTMlY45y4pYVqR0zJWOOcuKWJ4Z2ivrVAhfjiW2F4XvDKE4N3LceDc4MICp8WFkX35FjkeCwFl9agKDmo4xoxu5F2ZpAVunCYGA2+bjUMcRTBSGZT56SMg0ln38OK7KM3PoELUJD0MWFUXTYOVL4DAupyKWQ74La2oOQ14Jh8jayosj0NtyMv9mazWmB0YwXhrGcG0Q62NJmcdeF4hPjeDsuaA8nI8ilTdzpWPOsiKWFSkdc6VjzrIilhUpHXOlY86yIqMuZPnNiMDs2Aia54pIF/OIpgWMEt0b3Wc0PwNrflrW59mRZhl/hCZwnIc2OYvUdBEp05L3+wo9i3Ith3hmHM1NQur4mq3tYbjeLGZmZjAzcWRBv6opghjln5sclflzXEXV+BDyZFsN7xlZiM9hfF1FLCtSOubG6nUQTWlohRyGX3hK5j1Edo5bovsKCaT7A7uI4zKpPEy6Z2k7xEJwW4flvTrzAlr/OmlTtI4eks/T0Y/dG6dXpPJhrnTMWWaagCbTt86MyDKxzjI1eX8cj2lm1zPQx49ChKMQH/sXmC6TbUS2KYetFP9U9PqGrbL8ox3UTimv15sPp3MmRxDPjiJXm4fh0DvRsE25HEz9U0XwZ68W2LfD8zkMlUwM5yoIaTaSa7oxl30WR4v7ceTlO3G04GAkdT7Oun4Nwk1hzFompkeLGPKKYMBdCKprQ8Pk2Diy43VkZyh3TeDpA51kMxvobZnHWlokm64J+Bkb0UkTTtnFKMUZJdBrvFiEVZ6Xdczl5zIqYpmp5B7CsxckML7/+RWfy+TQyxiepncl2r9iPqEc2ez1KkTvWkzPzWJs/2Hky6NweYde2EBUT8t8l1+Xr10pjEAXQ6gREFKvUfuI9tINAsNzExgpuBiyXbhb4rItxnYeRu6xpzEzMiDz4/Q1Y0yGFSd9qeNrsF4Rx5/e+TIGUUQtloe+7QJ5DxxvfPoI2uYLuCrTIXWchvVzex6R46Mfb4NLYybrB7wWsL09O7gbVnUGQghJUjdwavMUzofzV8SyIqVjrnTMWVbEsiKl43FjPpQAXA0iO79QBxyu4jJnWRHLipSOudIxj87k8X97a9E9V12oG9ZzPEUsa31rZT2M1h2MxtIYu+h9x+I3N2O0rQ9fenka6ZEZ3Fc+gnlRk+EqD+acjyKWFSkdc6VjzjKTlhIYLU5ibrKMgdFnZb6sZ+J4TOOTQ/CFg/nQEdT9eUxMB2MR961CCBRpMBt6QMNcdQhi9RBi5w8hEtNkXiaNm0PFAYz6eUyE4lKn0RRfCAHOl/Nn4utpG86GEAKT+3fKZ5DNjiDWIqTOntEwPXwY+45oKEfmYCR0xtcR3wSMthylvqmI0dCFMm74Fz+U1+F8FVmNPoa50jFnWRHLipSOudIxZ1kRy4qUjrnSMWdZEcuKlI4562Zofj1UGgQiCMZNqofcK1Mo3vOArAu9o0veW71O76E3iBEMSj2nV8T5KLLoGYWfekD2W0rH3JwYgBACGvXnLCtSeTBXOuYsKxq1hzCRHz75dZfV83iylZ6NCXNuUj4TzovzZZokm4yKcpyewzieoqmDe2Qek8NHYJCdIYSA4QlZDo7LpOIyZ1kRy4qUjrnSMWdZEcuKlI650jFnWRHLipSOudIxZ9Th5roAABAASURBVFkRy4qUjrnSMWdZEcuKlI650jEvztP7SbZvhcYBlhVxPEVKx1zpmLOsiOUjY0fROzEHHQLj4TA69Bg2zVVwYGQKhXGAAevH+QQFegY37JnHVKSAqYyz8L5zXpyPohDZSqBPuZaCt7sJuQkbQ+OvLDxzjj81cITG6hIGm40lepXHQGcEQgggEYW7ugOHNrXiwOVrsP99m+BtX72QRsVnzvluTbXTlYGnciP4iZWDVq1jnRxLAUuLIUf3yXGZfK0sryH1Y1WYU+Ngu3S4gQsdcHNS7pydRWHMk/l2Gi7lU4MzOY3hiWA8Ncnu81uaZF7ZPbtlGx0rU3QjAsMuSJyJr6eIy6mIYp35/grVgPZO3ms0EpKXV+D1PE1aR8ansXnDKqlnxzQNZvA8T/K30+GfmpYrVYRD1sJlQ2TYs1AuV5nhu3ffiXufuB8PRg5jvG8jWnpTaEmGpJ7DmO63B3CXNQrn8g24s3IEdz/9Uzz60J0otJ2Fqh+FNjwg49env4Puyg+wqjmMj91qLuTz4I/uRKh0F3THwKG6DYsmEnce+hp+OvhtZJz70JOxEKvlpf4+JHDfwSA/LociLocipVsTTwIP5HD0xUHUzG9A+AKrVmvoag7K//3v3YnHdt2J+pQG3dMQJYNqV+1OMLG+u0OHqWvIVjQ0HXoUicGH8cSzdyJt6dRx96NgRfG1vRXc/dDjePKlb8v6mt7rYfpFYH/5bown78Ge7F1Q5WGuysi8xZ0E9j4GK5bFffubcO+zOu58FJg4ciVdN4LW3hB+PAr8dNrBU+PPyPzr85D5cXpFnK+iu3/+PO7c6+DOl/PIHP2hjMthXGf3cd3t3LWgY73KgznLilhWpHTMlY45y4pYVqR0zJWOOcuKWFakdMyVjjnLilhWpHTMv/3Nr+Nbd35Nti+WFam4zJWOOcuKWFakdMyVjjnLAd35rqi3bz91SL4nye61sryq7Mz5fhSxrEjpmCsdc5YVsaxI6ZgrHXOWFbGsSOmYKx1zlhWxrEjpmCsdc5YVsaxI6ZgrHXOWFbGsSOmYKx1zlhWxrEjpmCsd8xAZ4smY+a6r5/vuvRv3/vDHstx8T0x8P9x2uO+Ize1Di5iX4axXFJ96Sbat0PZbqX+ZD/oZ6mus8z8q9bHCgHwPVXzOV5HSMVc65iwrYlmR0jFXOuYsK2JZkdIxVzrmLCtiWZHSMVc65iwrYlmR0jFXOuYsK2JZkdIxVzrmLCtiWRHr7nnwUVmnuuFBEwJZpx31wp3g8ZHDVVzmX/vaV3HvXXfKsdai8VJ3dRhdN+Fr1hF8tfQTfH38O7BWabCu0xC9zMB9379z4dkkO8zgefnGgm55/nfvfgFfb6rja+kKtFQM4fkiWuAeF7/50IjMi8f9R/d8G7vK30EoaaM53Im2ZALfeerr+MXgd1Ha9QT6muLgsmcNHWt+9m1UfvxtmR/rFHE5FCkdc6VjzrIilhUpHXOlY86yIpYVKR1zpWNuUX1aEQ3NmRD6H96Di18+SEDo3ejqDiFUzmM+nMCqvb9AZuejsvzb082yDiZFWcqcZvsjh9BH9ZbwZ3F0oI6q8yQmacHqfrKn+HpM23vSpH8CFecJ3Hf33WCdov49T4KJy6N0zJ8dvVPaJz994vWNR4n33QhdE/j2zx6WZX3w53fKsvdtN+T1+XqK+HpMscIU7kNgd/F1LaofvWog09Um9ea+HfJ55smW5fhMKg/mLCtiWZHSzdCCDreHoR98S5ZJ6ZmruPc9+qgsZ/yyq8kG7ZDxVBjHU6R0zJWOOcuKWGZq3rJFlv++oQmZH+sUqbjMlY45y4pYVjT5w29h9aP3YmLoGcKXPCi9irv3xQPynR4VeXkfbN/eubss3/dm5NC+sR9Vr4q7y0/ge5V5PN4SR/KmD+PsDdTmunrxREsajx71yb4+iijVvUXPwCSQ7vnvDeOFR218O+JRO4qjUM4gQXbs8KE78cA99+PZ7w7AXeXTgpkBUfSlfJ9tyftOVWawvJxcXtY1Wx5mO+t49gUT3x/Jr1g/3/x5Xdqr6dYNK+aTM3ah2mMhlmqR6X/6yD14OLQfbpcHk2zoVgKu+XqK+LqKWFfO3in7P7dmobtlLXTDwBM76vj2s0Oy3iKb0rAu3yzr866XH8N93/2OvA7n4euzUv/ovc9JHefHeknTWXD8b9QG8I1YHdb6VWhpTcl74Hj9h5/AtbsO4Vx6r2X8xnznrkd3yuuGz3q/jMth33p+XOru+fHPEHZL8ppWukPqeIzl/DieIpYVKR1zpWPOsiKWFSkdc6VjzrIilpleeu5O2IZJ8xoDVq6wUAccpuIyZ1kRy4qUjrnSMWdZEcuKlI4565rOOVfWxX3cb5QFvvu9exbqjMPvowXJh50YznlmTMb7o/kXZDinV8TxFCkdc6VjzrIilpnSXRa+fehefG/fT/HYfS8hEbdl3hym4n77ha/DRQHlthn4Wh13PfF1WUePvHCnLI8zr0nOc8En9twpwzg9U8TR8Y3pH+Fu18d9jfkUjxVWRsOd+78m4/J1OG5mdb/Mh++XdUxNrbrUGWVT1sujkXE84H8XsbSOptWmLOt9+76O++a/hvtqz8MR6xGaGJR6Tq+I81ekdMyVjjnLilhWpHTMlY45y4pYVqR0zJWOOcuKWFbEuntpXn8nzePDLTpiwkZImLjTm8Sd2X3g8MT6TUE9NB3BN3fRvd63tJ45L46nKPbcT2HtfBzhr/53mV7po1MDMp/Utu1L9JxekYrLXOmYs6yIZUVKx1zpmLPMz5zbdXR+Uj4Tpeewe79zJ3gTDuuYWKeIZUX37dkv+2BuF9xeLerPw1X9bSn/SuVROuaqjMxZVsSyIqVjrnTMWVbEsiKlY650zFlWxDKTJSzZ77Pty2GsU8SyIqVjrnTMWVbE8lP3fRep58egAxiNRdAeCuPCR0cw8aOCHA8fc8Zg6y4usFJ4YGIP7osfxqP6o2hvCeFYPkHb5PxSnSlohkAIVfxo/xG88L0J/OK+vUv6mbtfeJjG6iP4DtlxKg/mnJ7pvgfug/W7H0LoNz+A6G2XgePf+5PvyefP8RRxXEWse1+mG1okhD1TQ5LO2jmB8+NBX9URWyXTq/i+npfvxZrkubKMz3x3B9gu5XuNUBq2V1nWHzwkwy0tJG2UHsuR8R64+9h4Gl7TLvO65+EfLVwjlAl0GZFb0PG1uZyKqMrPfBs18N7bfwdbr/41PPX87oYGePSpnWC9UrCf4yi69XO/L+OocMXrhJN+5l/9V3z0N/6jUknO8VVaxf/iH78rw94OR3s7LnKia6xb1S2D+Bx3Bre/84OfS/nKS7ZJzs7BI8PM0JJJSf52OkII8E77Gj08dV3lj0bDUtUfTaEHcWS8FNyzVyNXq+Pu2SNwOtKYb4tL+trsAdwzdwT/Z3wY/VYS/XoMfS0dSLVFMJHYAkqC3uYMunv6kWzqx4duFAiHfdRtD319/ZKaUv2ICAOF+RD2mXPoj/cjYfWgonWih1YJ7bFReL6PHjhg6uvqkuk5DyaVD3OWmcIw4LWHEKOO09C6AAH0rxUyXS+VJW30IaX3YT2V5+xPCJz/Gxq6O/uljsPiUR++5mO+LmBFO1BKNCOp98KcgCzLbGw1+ps89CV09PX2ItWlo17x8fx9FYTtbrQ392FxebhMLEvq6Ub9pR/RJKkArclGTwZottrltQcOvAfPPPRbGNh/OXpJ39tURXeTDv7MjboozrsyX5kP1R/nq0jqKO/+lAkvPwnn4OPB/ba2yHrrCRtSXhKf8uB0SsecZUUsK1I65krHnGVFLCtSOuZKx5xlRSwrUjrmSsecZUUsK+rv7wcThykdc5YVsaxI6ZgrHXOWFbGsSOmYKx1zlhWxrEjpmCsdc5YVsaxI6ZgrHXOWFbGsSOmYKx1zlrkN9icFPBo46+EW+Zyl/l38fE/n8nN/5LjeL1c9t6Vk3+btuPvYfVHfJvsT6n+d7vNRj/cs7X9Sa+E29cCzK+jraFkIq1P/ruh0fo6qjMzfyXL2t8TB76+rG+Azm8t+GlY4GEO4XFw+RarP6zcTVO8uRKSLhgcf/aIZ/W6UeBT1LdQ2TSJ6DpxekS284BkTAKd0zFXezHtpsOyvAf1+GO6GbhnfGZheeLYqvjs0LcN627rk2JVMNkEP+UjoPaiXPXTFetEc7YJB7YLzZXqu6KLU3ovO3n6ZH+sUcb6KlI650jFnWRHLipSOudIxZ1kRy4qUjrnS9XX3y/vx6B5GykXkWsnGSTQhbfXJ98GrlEGvAUrJZviZNln+Xi0u0xyszkt5vmEXmbQI8sKuEhzHRCTcLsP4Onw9RdFIK01ymtHa0i7zV3rOm6/R0kX1SM9P6bvaA/ukmdqF0jHnfBWxrEjpmLPO61wjy98DB309vfRs+mTZ+agYDud4ilhmcsZHwfF7yYZgu4n7vfyUByfTKfWRcFg+z8MVd+EeVB7MOQ9FLCtSuoGqJ9N3n2Cc6m1vk9fxrTD8c98jr6HyYK7yYc6yIpYVKR1zpWPOsiKWFSkdc6VjzrIilhWle/pQausB4q3wKnVZRg5Tcdn+jRJAN16ax3ioLO3b/uYk+H13ZgalPYzWLrTWHElJvQnbzo/IfCqJTrTUbLRaZPfpUfiUj0eNcLY6jEx3GG0xH322wHQ9DVcL471XiIW21t3biXqvB6E5iI1oSHeF0ZE0ZX3WR0dk/ovLyeVlebJ2BL6hg/9pXSYDdHY1L8Tl8L6uJvS3AX2dyaV6eoa9fb1o6Y5TeY5gbHME3ji1NZoTdLhxJEQr7Pd0yDZneE0L5VTX5byZWG5K9UM3+zA2SeWnPs0MZZBu9tHeaqGvScDNTaJ+/gbYH7wUPE/pp2sw2d96COXSFIRvgsvCeTFxvvZsEd6DL4Lj9VI/y+3aa+1auIemTC+mmuKYzcTRq8cX9P2ZiHxWfa10vzT+cV5MfZ1tUt+fDsGzK2DbyzWD56rGwvqi95fLoeit1Hd29WOWxoYazYHcqo2+7p6Fun6zrzubdeU41dLaL6/B+XurNgNrN6M3nZI6vmfWK2K5x6B2JRw05/IYt8t4oXD8+LI4PqdhUjrmLCtiWVF/cz96Yt1obW3CXGVi4TnKuDzuxPtQ08uoRgvUH3roSwdl76V5IfdvTF0XHnuPOJ3K2y3X0W+0okej9t/Xv5C3q/vyve6jOaSK78RS4Pe6Bw64H2N9rBOy/efHPbSZaWTcdvTQ+KI1+6jj2Hjd29SPbrMfdf0GuJUyaqPDC3XJ+ajyMGdZEcuKlI650jFnWRHLipSOudIxZ1kRy4qUjrnSMWe5r6Vf1ocT88Hzd3o50K+RbULvaV97F9zmDlkPPL7I+FSXzDm9IpaZuO7swUMyPj+bHqrPHs1Db1MCSu9kOt+e+qFxk69vDxxaePZcRkXUNa+oV/fEvMfSwHkw1QoleNR2+L76qP2pfDieIqVjrnTMWVbEsiKlY66RbqQxAAAQAElEQVR0zFlWxLIipWOudMxZVsSyIqVjrnTMWVbEsiKlY650zFlWxDLT2IQn+/1Yok8+T9YpUnGZKx1zlhWxrIh1ZmcLRMqCrwnM06JtSoQQ70rB7NSJorg3e0S2qzvGwujx4uhwU2A7S+XBnPNRVI+EIXTA9GvoiTSjrSctx+Hh4s7guRdr6Ke+l8eYPrILOL0ilQfzuuMH8Wl8YFmRistc6ZizzOe4e2ELeVoELhHNN0dxfsiX5be8Y30tj3tVl8Y6aowxdMvyZbqjYNyO2xn3tS+VZzDfFkeK9GxHMLYF+nQbVakPdbUt1D+f487p+qPHruEke+V12X7h8iniciqi7M58F9VAJpXAn/7N3TTm+Iu0S73/5oufwM++82V8/5/+K87Zug5f/Ld/Asd1FyIxlvx/f/mf8OKuAwu6xZ7f/vxt+PHX/3iBPvnhaxcHv6V+7S3N/VUyX0uA+/VXX4T//uffxEU3/pasaP5nqWdtXC1TcsX943ceJAMyTYB7k9S93U5/TzuGRicXLjs8NiX9yXhU8jtEL95b3wi/6ddghuv4P4d+gT+f3IUnrujHjqvWIfu+c3Gt1Ysmj4Dycg7ZC9bjjvAa3KH3o7MDGItvRrni4ZaQhxs/9HF8/DMfR82vYyZfk3T9rR8H01XXfQJRAtz1mRieNadxx9rPoCl+G4YiNyNkkhGSnYHteLi1OY4P+XncsP08mX55PpyX0oVqOirvb0HflS3o7bgakVYXXauD616y5ePYYn4SF/Z9El5LHWUrKNONt30c2+KflGFhw5UrmaWawOa+D2Jgy3vQnP4w7GlPlmUovBqf2ubhU2dXcetl25DolVUmnXO6P4Zb7/iEvDdVHuZcvluuuAAfX1XF3PQMzFQOVSONS9quxSb913HZ1jtgtnioVi0c3ns5zotdgzvOmcSH12aRoHJy5oOHqzJfzouJ81XE8vUf+hRuuvV2WUb30OOYmxjBDe/7gKy3W2PGq9Yb5yXzaTwblhWdbvqPfOxT+OjHPy3rQ5WR+elWzrejPDdfcwXu2GSgQgYt1wHT23FdvgYTX08Ry4qUjrnSMWdZEcuKlI650jFnWRHLipSOudIxZ1kRy4qUjrnSMWdZEcuKlI650jGvkaGUL9nyfWJZEcdTpHTMlY45y4pYVqR0zJWOOcuKWFakdMyVjjnLilhWpHTMlY45y5I+9gVUtTjsUg6Fwy/K9+qjm2O4YwNQJlB3qu3yFe8323KR7G8+vs6XaTgvzlcRy4qUjrnSMWdZEcuKlI650jFnWRHLipSOudIxZ1kRy4qUjrnSMWdZEcuKlI650jFnWRHLipSOudIxZ1nRh87vwx1rasH76wkysASKbhKZrk+uWJ+f+ezncOvF1+EOaxVNxl34Zgdc4eGj9Tw+PePhM5VWzO8fl8+Kr8HXUzRNEwUeS+2it5A3h3E8SSMT+HjJwadnDXzSWoNcX4d8ttWdA0vic/4OAe51Tccl2z+NLdHbcdY1HXA8D36lC/PjNq5bfTt6N16HzhuvlWV5aa6GnO1i7rqP4+YPBmO/vOYye2BJeSiMZUVvZfyPbvyUvNeS5mC4UMZzF6/DoXXbcV7rJzEznUO9VMKEGcUg2QKJy66X9VGheuxCTKaLXPceaRcNX3M2pnLz2LdngodsAkGvk3H5HhaX/+xzbkXEfA/6u4P3SoW1vudGeY3M5TfIelP6m24P7JNN4pOYnKkthF3z3o/j4k0fx9Xv+cSCjtPw9RSxPKvF4Havxke1Iq7t3oBNPtk/BFxUybbjcBWXOctMtdkZsM31gRs+jA+QDacnA/tnZKAm7bEPegUcueJDeDhvY38uKBOnV8R5KFI65qx7ara60B5uPIG9cYtWl9cvn/dezNY1eX+cXhHno0jpmCsdc5YVsaxI6ZgrHXOWFbGsSOmYKx3zc276BA6/92PAhithzxVlGVnP8ZhuvPgy8M/YXcfFPi8Htm8/fOn1wfs+Mybj+21tuGK2iC3VNlz14X+BQjWoSyNhkn4eV2EetyW6gTpg1z3MVsdx7s1tuCHl4hPzGqatJiSSQDJTX2hrN37wMyjTopFh2YhNaNh0XScuuywt67N0aL+87uJycllZHs2+At8XuHZ1CBdfoOGcS5yFuBz+0auS+MSVPm66+cYl+utu/TDOuqkZ59yYgVZ04Gkmjm4p4vK2q1BL/XN0nvUbqGFWviuVcnShnOq6nDcTy5de9QkYZIsPj9nyGlFjKy4+38G2i0s45waBIX0cU/kCphMJvP+ffQG3XPtB3Nq9BoPJI/An5hDZmcWHey/AzRcG797sTBH2d56AXa7hI2ddgVsIbOB2XWjuk/nzdSurb8DPzl6P8vsuAr/XrMtO03xknYNPbI3jAx/99YW4HHbjDTfJZ3jHWju4Jz2GPNnzbId96NLN8v44niK+L0VKx1zpmLOsiGVFSsdc6ZizrIhlpps/8nG5MHPQaEONJuu3tZwly8JhKi5zlplu2X4Nqj98FrPZirw/1inieIqUjrnSPfm8AxH5JIzEHfIaUl+oI3/dp/GBT31B6hbH53CWb9m6Bbd5ebx/34isu+/PLB1fOJ4ijq9I6ZgrHXOWFX3uxs/hE2s/gQ9sew+Oll6S98RhHO/mq+7AbWtuRjmaR706B89zqT3cLsvJ/VvrpS46r3ER2XzsPeJ0nJ7JzebxqfjluGXDapmGdUxF05Hv9YcuCMZs1jGVm9rk+3ZLaRI3nHch7HDQVmaOlnD2xEV4n3cL7ljzWRSix94xvt6Nt38CH8l8FtFIF6ZKF2Du6JtXP5y/Ii6jIqVjrnTMWVbEsiKlY650zFm+ffOnwf1czquDx023puGO0GqJD3xw6xXIpnrlc6+NDeP662+VdcnpOL0ilpluTsdk3AqNAaXb/xVuJRD1Q24OH8wNSn2tbZUcGziuIpUHc6VjzrIilhUpHXOlY86yIpav/9AdYByCbajZI0dl25J6Gr9u+vAnyHbzpI7TKD1zlhV9CCXZJrj/mTsygHLIlfdx89XBO7Q8PsuKVB7MlY45y4pYVqR0zJWOOcuKWFakdMyVjjnLilhWpHTMlY45y4pYVqR0zJWOOctMU3M0wCWo7z/nA7JNsE4Rx1OkdMyVjjnLilg+cPVmtG+MoKQBM0YIHWSrXfnBbWi7KYGD13Rizq5hnUhhzYEKPpRfi8tDN4DtLJUHc85HEct+2IRPlt2t8fPIJrod597agWkajzlsfmAGbJff3rUd13/oEwttgcNUHsxZVsSyIqVjrnTMWeYxaVu8E7vPasPLRLX3XQDbzsu241RbZX1x3GtuvUHqPCeCuYKPi2/dRGVsg/n+bVL/A1rk5/Y79N5NOP/WNqI+RNyN8HyfFhLL0oadfS+Vn9o0X3cmGZfpGA/k/JnmjGBeUJs6CpYVyfhkszOnKjrzXVQD//qffxSv7D+Knz+5Y5F2qTeTSqCzLYO1/V14z0VnU/8fXhLhb+/8EfYcGMDv/ubHluiV0NrchH7CdRWlmuJ4uz70ir1dl1r5On/0+78BXnHgc9v/3b/+DP7b739hIeLLe48QsFrDp2+7DpomFvRvp+f6qy/EXT94BFMzORRLFXzt7p/iIzdeCSGOleeR1PkoG2Ek2x0ctudl8X4zuRV/2nIF/mvzpfh0YiP+IHMBWrQIftDtYl+oRsZ2BX0j+zFJ8UpuFNroEeAk//iF/zlGQpiwZhN4IjGFOr34s54Li5YSm7w5eU0/kYG7+Xzp147slvxkTpTyK/kGPOGjI1PAtVd4dF9BitzBoGkkVnG3GeiUG8oEvigF6ZqGAgH3IfJzlWQjNbQVBAFSwLSxnvI2oOkOzLlD6LkwqDOqKmy5xQwyWeRqtTziRx5E4uD34ZXnEU5PoKi1wMqchfHBC2TMjkt8rLrJQ/8NPqIdQKXSSYazBdOooyk2I+MUxqkw0ndix072LPwjxNjgI/ATaRmZ/+mY9JxxfulqQC9Py3vilWfpOeOcqYHXUQOV7ktkqsjo0+B/hmrlDsPXwyiuuV7qV3K4v3GtJPR6HqHpV++bV8rjV1UXGX0KUaprvv/i6vfDCyfhORpKXhKZ9In7emM8y0mgWZ2AbsHutFBv8uBrNkS1CnM06A9kpEWOsB24liM1eklIvtjRaKwWjoDQQ3CbYqj3t8tgc3IWYtGv4azhYHG+sqUf5QkBJHMwEnWE0QYNFox5gYrn4EhsHq3UfjiTQ3ZwP+dYgsXTiqxZDUxkMqC0xsUgTWQELX50lhMIN1O5a9UTlrdVj8iwvfac5DHNwJOjQJbsGcvU0bKaBnMZstTpaA/skJks5b8oKBMK7IdszV6kDbzKPpk/KDC7W2DgRxoOfVvD2OMaBn8qUC8G8U7obg1sqOLTIzJKot/n5iP9xzm1CsAUitDzbdgQVhDLJjsIyRRaagVcOn1YKu+veJKfqnPQCe77RO2B/yGeNnYEHtkvbuOfLp5q3m9nvAg/RrLhy7q+8mWtMFZXbAh42GXOyjienpBcoz6TPfVtV2A4fTHs996Gjo6gXlhfSXZJ8NuYKsK1POjUN9DMmHKqA56HGL2GDkwUyfDMpAUnWUJ6og1Oh4PwlAmHFtLKzUEZtZnxJfGUUPGmUauOQa8Ba59rgVXS4FWyKDqHZBThV2HaQ9TPhKk8bVLHjkcrAWPuI6h7OcSOzmH9QybMuom5tSaeWaPLOURPXxn8zyZ1Aj006iM43YkolvBl0OyckDyZuQx9OyxEpx1a1HMwHcti2P0pCt5RTHvP4sCandhzUwHTG11AaGiaiiD60iEkH3gGyR8/g6bv/gJ6qQwnk0Rp+2pos+Pgj0cLUMy5a3uuPAVNCKyLBM+G9dZc0LZtWuzwqU9knSI32gqf+jbNqUC4Nlj2rKQMNkrTkr9TTiwGPJHoxbwZkv+UL3QweN+Xl0crVhB//GWEDo/BOjq2EFyl57+L+hfXW1Ad5+E6O0RTO4PmanNzoDnkcVFOqHDOuVyGXTQ8CTgOHquMYdqtSN0bdugRGIKefykFFyVU/UXPolQnXR22loU5dASCxkNRO3aTqQ0+4n1B21teDq1KbbFel23Yb+laEmzT2MsKY9mY6lxxM7yuNdAKczDv+2tEhx/naKiPleldiSOeiIKblUovA8nxwlSGTS58moOakYugH9lD2nfP1yhTXVFxHbMsxxDNNwG6F1JBpzbH3KMFMubadPAusv84ovFH3TuPAX5LJ+zbvgD7ps/Co3GB43sbz2H29lEyJa8lpo+9L1JxKg7jIHRPKqqgftg36FmTQrjknMZffj+/XtiPF2o06LxF5czlNPxozTP4euI53FMM+t6TXeqF6hRc/meBJ4g041bRYldp/PExR4D7KjMBH3m0aGHk3JBM9VGrD9pAFp6gNnoB2dNSe2LHSwcgqOD/wYIUjWRBP8NjkTExC/44nc3M3nQ6nwB33zIAQ8OWmAGPxl0LKWhUCjQ+dY86Y/J3LKOhJAAAEABJREFUPmMj8dWfIFIM7jOuFUgL8D9MZc9my2ZGKVNESelv5YGffAN2EJe88C0Tdnsze8H/EJY9TqyVGYzyNI19Nek/nZwjAz7ebhoYOjaOrFQXrc0pfPFzHwTvcndPMLA+8cwu3HnfQ/jLr34P/+VPv4rf/+1PwdB1md1PHn0eX73rQfzlH/8uEjGyyaV2qXPXDx/FH/zx3+Ev/vG7WLyZemmst0bS3ppsTz1Xixrqb37mFvzZH/5rfPLD70O66Zghd86Wtbjv7/8L/tknbjz1DN/kmPxzgzW0knLNR/8PXHzTb9FqmYN/9c8+snCVoXPOxSTN8GIxYNYsSH2/kcCVkW6oSSYr2f+76e2ICRNfOcfEpFdB29QIok4VQ6EtHOWkBgNVE9Z2mDCo2xjKe3hg4xBe0oo0edfR7AaD8c6JbvzswDqZlxg5IvnJnBYyhDmcd/4xrxd8ZnDrNP4HWAVS6wOdDGg40c5AZ1V9aLrAfEVDm2ch5GmYjVRhuUCdJpvT4RA8rx8COszKQUQzOjbcUMc5nxQwIlj4aAS0M3CV3vl3CM3sQaXuoWiWMCvaEEq3Y2LsWhmXy0K4ifTHunww8B7ubYNL17ZCZcSjszIs9yovtYxETj3dqCuXOkOeMDORHosGexbP0OurAYMmZ4Lr9vUlf9NTcXk4UyfSwuwMnTY18O4qSK11K+qptRI8D0+8KAtfJhDeCwUGmVSs4CwG6lcIPqNaoQaWg+1c91ppDJ6rY86n8eEkwLQxHowHmh5MEIqrXTh9fbCtOvx6GaEDxwMsWrGCpvuehHV4WJZGs4Xkix0G4gxHB3QTTmvTMmN7TkZl4F0BOAzIFwYF/NZRMHAQFq0yjkkTp6rv4lAsjz4jsHt21oOxtVsPuIx4GjjCAeIHDFmScp8LBjumaaLmeUDUM+i+BLheQJ9sKLiXDBstJPN3s5Vhhj21oH5iBPZkGwDJej5L31rZFE03BxO3udkaKouqpDsakvmNlmnslr5jTqKxSWDiaYFJonKwiR5GHHAIbGcAnm2cYymW+XrWSkU+H4Cl0UXgrgxY5CggRAEbHKSGlwo1P68BOt00e5SD8EzNxyzVmRROwTloB5HONgO+3NV/dpdUuRe/T/LT1YmIoGSlkCU9ejYvuXL8cBhb5qugFxtHQ0GYZwX1bzQmrD2bm9D1ax/E1kvTKpnkyZYwHLJlXceA61dguBpNcKnBUqhWqiKSo+cuTJT1KEIr9BcJsRpuuwczZ0DLu6jFw7BjJhnBBG4y+EP5LP7O+buhVapoO6DDaWtFx+EkNFqFypaeg03gpVk9KKM7eht8EbRfjyb9EmxHDpHRAjb8yEZ0xkMicTbcUAiRtt0wQmX0rCFwFUBYpMg9+TdDUSyqzlIJYGCXY4tt16D36Qr6H5lAvCKoOnOY9p9DwR+AS2XTEUM0uRmZnpuhnXMlqltXg8ECczILvVSGG4ui8L7zIOan5f3L9tuwiycnaAErXIBp+rgwFDwbvqZBdh5zO9nL7DhyomRvUT8Hz6Z7TcILNck477RtmE7Q3EUP4bFWqkgqUWRHAF55ILhpUQcRf+xlcH9OUWANHQPSXnlFw46XBJ5+RnDQinT4sECskMdHRn6CC2ZfwUSjL1ox8nJlMi03ULXVHVw9GFz33lJQxuVRX7PcDFCTRaLcAbMawbx/YCELp5CV/vBMDqFcGXBdaDVX6l7NYUBU0Njq+zV4PauXRHcZICeNxqA8cfUND5eQrJ4N76wrpCr0zA8Rze+jRfEKNCGQbI9I/XLAnZX19VS2sIZIqB1z08faJIedziQcgImfgQfqZwAIYUF99Jm89PqtXZILWuSXnhUc/aUnwXNWXrRA413laN6aLbDv+G3YH/w83LMuZtXbRl53MIZqo8G491ourOwIlUYU5sDH7rCsF0/8rnH4O0nTbgX/Jfs87i8P4su5lzDoFN6S4jyc2ItsOA9dA7g/OBHozuX5/dmn8OX5l/D3+b0rloXjlHwbcVpUq+pARTOw2UrDQRktNKa26xlcTO/Wufvn4dBCWd7KILrGWDGvxUoRCdqyW/alukmsl7zgDy4A0nZ7RurebOeCMGFCbWm4Hc24KEzjOF0goi3tG+piHrFJD7U9Pg5T32YNE+hF8ToNl1yA64Q9HQ05pnXTmNwC3Y8grrto1uqY8SooU91xPCa3JckMakHB10OwEz2BrkTjqfSdHk6ZjOnv3e/i7aYHHw7aw9JaWCp9+qPvx/hUFg888uzSgIZ0ZGgcz+/cj70HB5GIR/EP37ofhwfHsGvfUfy7P/pb/MUf/S46WlduW7yBmo8s7+powcNP7sBt//w/4u0E3emVbdzFGbZiDcSiYfzlH/0OfvGDP8ej9/4vfPuv/iPaWlILcYeindLf0e5j0C1IP59PJT3LHAbif7NpK460mPhhl4dsaRar7AlMJregVhPQ9r6Ak336en1EhYHwZAo/MgZokDUR0nTE3SwtBAiUzTRG7E7URBi8W+BkO+ZBH14EKNNk2aEOxA+RsW0Hg1mBsmZ7M9oB6BZFXPaNNAcKLy8QCQE0v0G+rqHdCcHtq6ObWhXb15NFCgudQyuMGoSXhzV3GL0XJpDqOZYpG93JvXchAK4clPQy5uM1lI0QQpS50/ZhzOwJyws2rZNsiRPtCaFQ7pW6TPKw5JW5V3+pOSLvtmFu0ISOudcSPEs1iWbdGVpaAzrVVWL/fYgNPQreqavVAsNQxTLzI/JXCqmX/g5Nr3wDsYGHVNA7zo38qCzDiSaGMvCMc6YGTqEGSv1XL8Sqp9ai2nHugnwiD4PFrpWUQD2/JyeKd0Yf1IAC230y/HNnfRpcfzLEqcB1NNheBLGoj9AEzRRkwCKnZsOcmIOmtQJCg1sfR72vCd6m81GNleA7NYSOjstfmqHxYbA9+eNnJfAErwA4HvlFI/QYk4vZPulpcuK0NMmA+qp2ya2hAFEJHRqTIA1PKvLVJro+4HcPQLN8xMh458hu0aOJjYfJRAU8FrNuzGUX2GZpgec0ceMEtgsHsJM+qt1BIXnCQRgaOspJWhj3gFolKK3vB3yRy7YPi5yG+aDjonbYgqC/zo3drFqRzGgElmXAcUyUZuYX4kT14JnPKaRxIQRIBuYAdAvgRfrea31s/IyHtR/2oED3SQLiFyVZ4hVNGXitq1Cq0yStWkFi1ZLgpQKBAazwWwPbgf1GPLj/WhbwG4BJc3YcF4cEB+P+CtWV9J3coTkRDjk+2XwCPUaQdnEKbe/z0s7zEml4m4NfAC4OP538zY3mPBMOyWIlfrZjYeLNCt+KYFXZAWgFZ1eYKo6UDMw50VbyAUZjwtoWiFKnHDPkIx/uoqQCer4IjfoGND7hnAPN0+AKEyUjhlTq+LoPi1aUV1swQjbic5r8n0rVlojMYTn4U/GmUcUUTAISWvYDA1e4SI3HkJww4JUmUPAGYNaHZVo7EoAMNgHdC2D7eAUb7ynCovTzN1yCaN81FH8VPGoy6y57GJ6Zk2kNEZP81Zx0Yyoylw3ahwK6IkfzWHPQRXulE2G0EUBwLrr196Nfvwmt2kWICnrnqM2WLtqE7KeuRf4DF6O8fR0K154LLx6BAvj8njULRRiadTARyyITMdFvxRf0x+yqAFxYCGh47GQPhOtAc2vg3e1uY2HaKM80YrwzLB4P6mykr1cuNMgFhwOD+J3pJ/BbM4+AAbPw7kHwYgQvRHApzYmgbXK3wzvXWXf4iECxxL7jaWhY4LLZHQhRX9RbmcDQYff4SCfR8HjFwTcdHGa2sGAphTfoMIipIYRwKU4A0yi4nfIOVJSq1CsbMKtVGIUqSIDrOeD+H6/y0YsO4NjwDBt+Y7FRJXFj1MhJ4B3uekkgPKoj+bKJ6G4Dtda1CMUvhf2+j4ImfrBKI0CtjBgtxIWTlgRcGZzGsg8v/GrUJ+iahupkhtJUlsU4PUVzXpMFc6I+tMaintAsqWNH2MFKq9cdvH/aSQB3Y+eTnATuxddKvsQJReD1Bf3QEv1bLPgtnfIK4mQ782WM4x3RqA+v0X7E9JhcHOKYOuEkzE83YuCawXa2b2LClMX7w+zz4D5ECm+Ss7c2h5/ZQzK3X89sAF9rJdCdr8vlYc6RX6kH/Rb7F9Pehr7NJsxF88E73NdZIcJs6tARw3/IXIbfTp0DHMnJMaq8bhXC9JotzoP9NX8ORZ+AIxaI/LBBrqA+35Y2doxsXs6v6k3BrgSLh3ZnGm/FJ0r1/5/aL8Tvt9HCMebkJSKgTkL6Aserl9DxhI2qHzwrY8CXAR2EhUlPw1ltUn9GfssPBtqwaCEJaDOoXyTfoE0gF3H+1nvJXiSPOR5ck7w0rgQ6KxdgU6w7HcjQBdasevupr0e86u03JWLgTdhf+dt7YDtB/S9O9Nnb348v/6cv4iv/+bfx/X/6r2hrTeNb330I373/cbQ2N+H+h56Wx5T/+OFnMDgyKf2FYllm8aVf/zB+67MfBO+i/+Zf/HsC7CN46PFg05yM8BY7Qa//Fl/klyF7bgQtmabjbiXbeLcy1HcMOgH42G8kj4unFOeH2vCZxCYcaTUx7pSQcacwmdyKeZGGNjMGNAYbFX8x52s0aRbMQgwjeVsGNcd0hPPjBLgDZYMKQdpxYy25gDb66i+5KUIyrm/UQfaw9OcOBs1C7RSTykVOqNmXEk8o0ylA6BpKNDFMuQbGK1X0bIP8zEwATriXOm8dQtgEuB+S+sVOdPRpCUDZeh7jOpDTqAMkICPacRb09b+G6b0pCVYw+B/rCq67OL2Z8GmC1AZBylTHNLlAcfL4eDJgBce1gmfKQDJC4SBGvRrwM+5xNcDH71jzA+AFkvjRn4B/lZB54S/BiyYMsif33SV/paDXg3chNLsfZn7kuHzeboWgxq3X58HgndeY8L3dZThzvV+eGuA2VOq7CvX0WhTXXn/KN1btOE/GZTBZepY5eoUMY99bov1VFMITO+QxMvy+zm/+KNwG8KbVcoBXRtFNEFgdRmtOR/ygjsQeY0k1iX0BQCEQrA7XW2i8DEXgEYDkpiitUQbcOqyBSZlOK1agwHZ9rkST4DyE6+K4CV6tIsdpzabBisYptykm09sdacmNhrFtDdDgR5r6qg6UyOtnpqHH6+BJRwgpmDkNNQKd58w6VocT4M9B20fZ99FNxnCEBzRWngZkLTpKprjRWSjRtFMFN9Uwjft6SEA0bJfZcADGpUPmQtzNVlA/StE9Pg7HMdHdVEJbV2CDqLDlPNUchE/nCgtBXdFAlyXkq+p6C3r2mEkfmz/ngUH2rit9JBpHwugWwL+KY547KDD1ouDoK1K296NSHw9PS+BeCis42sy41PoNcICFSIZdWpwoCPjJVCBQ3dwQ0aT/VHe5v1wP7quLmtpK7UF/JljMPt13t8ubbjh2Jgm7PUMLWWV5lEns2X1yYQrJNGL0vq2aL8Onv11mFporJEDLSaV9xp4VKE6voGNEqVKqujwAABAASURBVD1RRVGb1G2qZ0awKW50zoNO7dOBiZyVQKaZlCt8vc4OWKE6EkM6arTSUeylTCkegz3EFr68u13UHbTtFaBske0sYH61hb5ndAiyfXP2Tvi1YLdwPbSeAPijUGB7mMqy6TvzCBHYWDpvHZzzL5X5Ht5xFpxqDGFaCMzawY7QCFpl2Ks5zY22puYhXI/u5vPhkx3tHh5FppJGl341eIdhCI22iOM/dmcGlXPXw6Xnw6F8VBFzrwGcsX/ndJEZ1sfiBNgH77ZWy5P9HthVqo+WkRY5TqIXwqtTf1qHE2uD17C/hPvO2tlNBLgLz4WTLdC9B3OmoWefg9tAz781+DzMZ16Rd1K64my4sahsq+Z4FocPC9TrMkg6O18+vi+ZmBBoOXgICbeMVJMP07NhHJ2S8U/V4fGKF9RW50tYNZMDA3qPVUZPNflJ49lNHjRajG7Kd8t4OW83sv4eWNUwTALbUJiARe+CbRTh+zaEc/w9YtlHK1Wkxu3qkXy5wyA/61Ivmogd0WFO1lEP1+ELQGcQes2FqH/kC0i0FMCfTEcIQvPhpHwWVyS/zYfQdaLVcIamV4xzuim1xi5/l+avaCzaalp0oZhG4xdA6v3TGuPMQoSGR+Nfstcq4DbCbaWhfseZR4t5XAiNMA3egW88/kOYP/oq9G98BdW//EOgcoIVKkrEO9qJgXfoM9fo3tVijao31p8utBhsb9Ei+MPmS/CR2FqU6J15M0F3vs6fzL8EzxO4aHwT3mv0499lLkCMAObFoPs9xcPgne3cV2w2MzKc/YNO8E4trrchJ+jTDdhwadiMU99sItCFRTBecH8n1HEyG9KLk0u/hzrGvUcx5T1LuQTP1U9FACHguDqiOw4icnAKyWkLolbHTHcOTiYJf9EvIPEmf7aFm3FeOIUqgv42LJaOp4ndM6gVTMxFY/LKelaDBgumVkRY+FLXrBtIalWpD2lNUhcVbZL3mEE/N7ioTp3mwI6fN47CdudkPDsR9IN6KSiHVJ4GDv8y7oM36Hi76YZrqZGdwv1/8sPvQ5bs/e98/+cnjW1Qv7+mrxNHhydw9WXb8aEPvAepprikWDSMcMiUfl0//rqmaaA1k0KF2uRJL/ImBh5filfP/EyMRTUwPCKk1NvrY9AOOrR+PSF1ynmy6uMfix7UT4k/EO3D+o5+GRz2gxdx3FgjZXUWmxSWOe3tPlIhA2Y+gvBk0AF0ZDTqxCrUCQNlK+ggx+NnyZTaKfycK6XF4OoePJr4c99LGAQYSOcMeHcY8+XEm1uMOMBxaYEeui6Qr2pocyyUafIbjVchdIB3681MJuG5ndCECaN0cElWDMSGJ5+HHRrCrG7C03zombNgbPpNeJ03UqfVhLndQf22nht0gksyIIFXWwv1dQAFW7VRMtQCK3hu0KPQV/96oYSMpDk1LF5Rl8ozzpIa4OdlFkbg62GU+q5GPbVW+gVNnFjPILtrJcGgYn7T7eBjNjiD8MSLzN4xEm5NgndcAId/3syeM3SmBt5gDXA7L6y/ld6B0CnnxAA9R+b3hcEK9jOxv+mVryO165+Q2vkP1Me/84tUXK53gha/r4X1t2AJkONUZJEqDg1A5Etq5NDXIlA4dsQgX/AVh8ZpDGqCBjKoaaCq9kaDAHI9AqRsiyYVBM7Fnt8nd+AkGzvbGTT2Zg7Azw0SwOCB7G1KceyrTVO+hLQJGuCEZsBp7HBnoIoBGb1URnj3IAEJWTmhqK3rQnlcgI+TMUI+4lq3zEwn0K3sO9idnEWrHpG6UVcybDCDMS+Q3llXOADvbudSqKNk2M/EE0CfQJiuShIhWoRXE2UhVi6/2uVeJnQlc6gTHCuzdhVndVLKtATP7ugspzgWtTsSksJK57iLY01BxlEO2y4MwrM8s0OgMLg0T9Yz5WYD+ypFACrLJyKRz8ognwBj6SGH64IYqhTkt3QBtNDDvzhstit4LbvcD1Ldcz7nWMeX8d20u53vgSmj0X0YGo42dlOzLrz7KJL3Pws9m2cR/SWy3yjaUT0v3z072Sv1bFtIzwoOz9srcapnCvPsGnRHI4DXJwmIzRAjJMGlBlHWY+C4pDnuGza7UO9zYczrQNVFpS3oXzQCjFRkGyXwBN7MV9GyX6DWZaOjMAi9ZwwhW0frIQ16ZRpTVh2zoRiO4glM+wTgUrpoMYFN3y6Au51qm4nyte+V2dJ6EUYGY5jefxGi1Mxdn+6fQkwR2PLkPek31dixPxmsG8q4zkXXwqP79ecKtLARTPxlwGtwtNlxGVuBXoxB79EmodG7vS16DHQx88Mynp0I+jUpLHOcWCs9D4f60yo8AnQ42GksoJ5sIYXjvZXUZYxTuQhomqaFgO4QftEXglWu4iMH6tjox3HTUxM0h6FnvnU17M4MnMaOTJ3qdWhYoEpg/XDfIOq06rjSLvfD+1xsKAwgFvPhbuxCyAJWl0cxTGlfy325jeOibjoyJpPdUzwi+Rt1HFoE4DyS88G7U/LH6J3zoLthiHAEIjeGUN6FbRKI5tWhByAxJzkhaaOjMsxrSUq+3HGpLljnUtdda/cwk3oW+zbfg3xyCKi7iNKt+S2dSHzySvRfZ6N9c4KjgxcHpGcFx232YMQ1xKnMM3tpvF8hzumm4l3+XCYn5i0sVOuN3bZsR3CY7BNpXPF4DKlVYDSOD+MwRfozP5Netmmk53RxaMyT5abyGI//APpLT0A7sgeC+9P5LPT9L1HIyt+FMbWV2iXlA7p3Pxe0K7ZHVk71zmjZBuKd5AxoM9j+BwSAsz13W3wtrgx3vamg+1/N70bBddCaT+PcYj/i1NTZploMunNZGHzn2mDQn8tzfriVReytz0m+2OHysxxxHGZIhFtgoyz9hqALkE8/NCk3Y2aburESJjTn7wGD7hQVrh+k9QmnYgOPTzoIHRpF/Ild6Pt5DSYtbhbaKiitWrl/4DzeLCp7OZlVGG3QQJ2vlED2fglNe3MoeSa+f+HZmGxKwq47iE0EBrg6VmZhdztSC+nVuNze2OG+t56F+vACwtzmGEY3ZTFXe1mq7WQAuJuFX935nKyI1+hEI2H8zhdux5PPvXJcyiwB8XzkDB8t84Of/ALfuPdnuOLibZK+8OlboOiqS85Be2tGypwfHx3zj995ABPTWdiOix/+9CnwP2i9+NzNx13jrVJob1XGvyr58i4HXi3izm/GrcrbXvxzyx9XPHyr7OGFuo/FPyVe39GHXExHCEWk6gUcjV4I/mivcqxMf4cGiyb7kdGgE21NGsD0hATc8+HA6B13OzkryJ++S99SRzuyF/pzD0tlhPJioNsHGYVk61dnBAifQLQD0I/1UTLuYidCE2yWM2RAURYo1HS0uiarADJALVq5rxo+Ro6SWN9EeguaOwoGbUmAcGuIHXkQvpFFiYxbz2xGrfMOmP03QjR2nc++IqDKstLuds5HUrQVthsGrTygSc6wgFP5x6mgjxsLViyl4R+KkAYQheMHJpz5IDSzW9ZCpWM7gernorDhVmTP/y3MnfN5FFe/H3zsQ27751Hquwo80NRatsr4Vu4wtFpe+t9uJzS9G027vg4F+tfT697uIpy53pkaWKgBjwCHWssWKUdHn5LvBR/PlN75d/Kf63AAg0v8SxHWs/yrRnx8hHCr4N0h3I8svn+tPC7FrN0ueZMvJGcnPKohMqhDnrc7k4emdxOg4sErHETt7PUcRRLvALWtKlxaYTamc0h970kCpmiiUC6jPvsiPL8An66PWg3aMpBBzIxD8+mamkngkQVYhJLJXLEAyERfChaWa+t74MBEeQLwOwfAuHrU75axrRkNNQJsxsJl9BkBuMc73DnwdDq/ncF2nuTaSR/qKBkuIxNPMj3XR7oelraCqFVYjXLDcIhoupSVo47aS1eLaJtnW0Fgw7YA2FZxVuJtnSGpnpimZyR9gZMOcR7AbM0OFCdwGZB/dHIO/3P3AP7zy0fwV8WjeGj9CB7pHsOPjs7iwBwtvixKS6YJyvN0TcNEpvYs5C7CReFLvGR7sewRSMSciW+fif0MuqswXqx5Lbvcd5E9xnmcvQhw57Iw8GL+7G4OggLjpHCaOxF6bbiIFR/g3dR8jAmDS7ybs4lAd2E0YWu+Bng2dplZCEcsLLa92g4xvyV4r+oEuGs2TWsaO9xDbHbQ9Qp6DJalSZCCy7CcYlo3qj0+IrMmzJKNYiKE4UujWPzPJPN+8F637K5Dp2djkq2ZKk/Bah6HCLnoelmQ7TiPuRAwFDPgogQdMbQ552HLXVWEZiuw47TI88lPAA1bk3dKgz5JqxVpI+ijNGHBpHQ4hY/asV8oiWOxCaRz+zbCr9YgBg4c05+ij9sY6F32EpmFcjJIPB6bQyjsY4tJ+kZeCkiwGwsjDfVxzKfFSQgNWsMO9HWqJIrFG12Ive1ftvdTE4/I6wrHxPdmnsOfranDIGjlFhpH/svBKNqpuxmMuLhrvS7j1fs6JC/smMTu8Sr2YxZ7Vx/EKx1HCGgCFu9y54WUzM69MKkth9ZmULxiG0IJA63VWcwOBP2kzOwUHK97rYx1zcAEWksVuct9b/2Nz1HsxmJNrJyB5cYlaBabTyMkmuCadPPUBvjCoXkHNCjCd2wWT0rGxIwMd+MRyZc7xQ0O5i6ykbuojlpiCtPJXeB2MdVzCK7uIjLkQY651Iajl2yC4cXBH7vJg5HNI/OPDyCyiyaVrGyQTQsHRkJD2DJRHKw1tKc3M3LUR1ERuew83xS0iO+TTcGgndeoO63mUAzAue52gPoLnbAB7vulkhxB4LU2RisUFOZuv5w0p9fXvfR6eGvPgrv9PXCuuCX4J66Ncp701/eLxlSvMa56RvDOGIv7uXf4dqfdCv5L9nn5Pi4G21WxfrPpLLxZoDvvWt9rZ9HkhfHeoXNhmuoqwGLQnePEhInfTG4Fg/4ca7OZZobnq1OSL3b4H3+GXRf867IqjVZRw6IFxKBvsfwmGVV/ZUxybVubtPOk0HAq3jTmvWNjjAcaGDksHYVHi+t+zJJHldXWdUM0tSFaTsKmrn9+7aIb4PhvARW8AOQOaakluUcffwl+DXh0XT+GmkIYbjLBUHt8Upfx2vXgvesxgntZnD6CVggaIxhwNwkz4zaARZ+JDUUpVatHZX/K45xD+BQrFfbF/jP06jVw201XIpNKHBfxf/zFt3Dtx34Xt3z238p/nPr/+Rcfw6c/ct1x8VZSfPWuB/G+238X26/9PH7vD/8Kv/elO3D+tg0rRX1LdNpbkuuvWKYdbT74pyUl30aLFkGUOjyuAgbb7+fZBQtEz9R8PF3zyAesMhMYbTJQ1epIuTlMR1djHhnIHTX5oMOTEZc5PTQpiJFZaOYj5GpoiVahFbKoehG8d2oHts/txazRhXqY8iLgmAflxVmwMW3+6J9gPP0TcFhUJOELH36oCLcmMH8oiB3t9APPCdxoZxAg8oLsJYFyXdBgoEvl4UIZq5LqAlizAAAQAElEQVSkJ3EMPtzqBnINQNhQoG2Uj5Lxpuj+qyj59FL1fBhNHb1QHwbaX213+0LccD91bhZMq0YrtMNSXZzyJX81x7WSMgqDXH5jcBcnqX8Z+VfQ4YlSaGaPvHPe2Ss9DcdjELF1K5bsRKUwqV8ELpLqbfvKCdVLfwc+9oafrUODHi8MVDvOfdvKcOZCZ2pgpRood18q1fw+8VFMajGIgfigjZ4nw1nP4fzuScWviKOO21lpcUzU5sE/qS15KQLQgLDvQ8+SkTv9CoypHJLP5tHyrT1AXYMQNK54dTLwZ+E3zo6WVZhMw127EbY/CVSKEIyOeICT2wPfnofLc4FaDlq5AL0mZBLl8JipMaCnGxCps5B+xgwAAopQWxfsZpH5kVzvbUNhAODjZLR4HbpmIqKRwU72vFEWqJKZ/0oyC/UPRUdcSkTfdaZG7jv/NQkUsGY1+AZQXHSUDJeMJxoeAaLpelROwnSLtPkcOVSl0WBMjdCESyoaTr+RBO9u7xpqosUOCx2dcTAI2gg+IYvHTQgKjebqUP9ElERkCGBhPlapMjuOnp2Zx//eN4z/vOsIvjs8hdFKDXwEDfMj0QIOZubxdGQaf7t3ApPPaCiN8VUAPlqa7Y9YPEfPrAbtKLWn43InRa0ibS/ygY/ykLzhhDKBxy4I+NTeWBK0WNNMj/aGSHCdrxep0XHACsSLL3y8EO8Kby7OQdv7PMx//GOY9/01GHjhJF73GnibL2Dvu4Iat41K47btzgzmP3QZ6n3t8h00ajpWlW2yFT0cNQsQ9J44sVZ5b6923ncoGaIXjb51D6GqTu3Fh4UUrFwNHvURU+E0EnEdJ/poFNvr6IAVcpDak0TFiaPSamF4axVjzkPUbkdR8Ohl9oC2vZSP8PBcbjP+4cHfxGFnO+qbVsEqGWh9RYfrxaHpPWgVF6Jfvwmd9w9CHxuGp7ko3HotFrcV3inNZerr9ZEWW5DUO5HWT30CmElxamBu2ZTB23pRELDrxDtJgwjHu9xOWeuv3cJM0qFxB9lwHumwiXWFCej8klCIkQ92ntrJoO8j1XFfHr98YcAn0F2BDh7ZjBxRL08ze1uJy5M48H10ham/Ejqy5RTudmYxF9Xgb12LMOkSh8bRqUfxTxel8I36UfD8zmlOyHJqs9MYc0uo9MwgSoth2bXDmPLKWLzLfXZnDqvLIzDjBspXni3TiXVtkjcfaEyypHQKDvUf6pcGF82UZILHqkG9S+ENOAz4cvKWcrA5JkrguwYTXnlR/k4BoLcSDjV+8p3wW6tA5IsQmg6/8euj4+IK0EJ1MDdzB19BPWLDiydgN2mYad0LUB7Jl02ZzChqCPoAmp/SGCT/Lwq9y9HGr9JkJHL4HHdBC8LUNGHmXeSO4X8U+jZ/T+FyfE96DeBxVZad7lnzNUDT4BLY7rYkZS78Swr28Ly0/pEvAASsc9+vQHd974scDHfz+TJMCqeR463aCPvGTxPYfjNcAtq5DS/0KQ1b4bjicl0QniH11O791i7p5T6J64sFuSDDnneYXqhNgzcdrAS2q6ItBt2/PPcS2G5SYafK99bmsLBrvXY2Qp6B5nTwDqk8FOh+XaQPfKTNlZFuFYQLwkG/w2B8mTAqFcB+Ln/ccwk/8VGlfq/FiKLmU79IkSwtDT5Oxss6qOtRYF2GtEu/c/5uqdBo/GSPjTIzsnnCgBA09gq5uM4LjvkbL4K54TLYHSnMRF79uGO8wU/ZnZI5RP1jdRHePQh9nBb6jAgeXd+Gs+f34WBLGFXXQWxCB3+uioTxsfg6XBqOsYjF6S3RBI2Qt5AAUnoVPC5wPYI+HuoohefIBwjbgVqsV7iIUQiwKZz5rFgDD9/1J7jq0nMWwkKWice/+2dgvVKyf/cj/whFP/76H+OffeJG6Dr1nypSg3/s1mtw99/83w0J6Otux0Pf+TIeu+8reODO/46dD/0dPnv79Qvhb4fn+FK+HVdtXOPFXQfw4CPPnhLxTwAayU471t4ODNp5Wa4tobTkC2A7GQgfKu7DhwtBx/TjCjBLdktUmEj0dsi4zY2OYdJaLeXQt74C+VMxGnykYpFDcwIyynl2C0TIiM3oszJUo8lvzKtic3kApudgzFgj9WJ6THLpUH76op+laSNHkdJi8DUfnkWGTx0oDAoZNbXBl/xETqTR90bpXmD4KFQ1RB2DBgMNI+UalQ1yIl7VfeRzrXDdZkD4MMsHySgaAR8l41sTmPebMau9ByFa/cSiD5+x6lJ5olRFJ93dTmmiHT6K5T7yAenUuOSV3MnLLyOR4ynDvzQFPxwmDX3zOXLOfBfXQGRyhxQZFPQbu5Ok4lWcxeCi1tjd9CpJ3nBwZPQppF75Ohho5wUV3n0/f9anoZ71G77AmQzO1MAbqAFuh/wecRaqjTLQXlxzvWyj/AsRPpKJ265ZGKG2/A35D4o5/i87CbcGowHm1FqPAT7qvjU7C98TKHlNCGkCxlwVGgOu84fhVY5CuC6NO6shzPUgAV5pAPX1xxZy0fi4W86Ha9bh1fNS49JCtVccgtOSQeX2zwE0CUG5BFGsgCfIMhI5gsZMjcc8jcbgVDAZjA7pFAIwgOiTkcgCn1PNcnlCwE9PwQj5SGjB8SkMJHg2MBAqQDcEWvUI2CbIej6iQoBBWc7jzaA3kkdkUJfJK100IQsvHU9n+BcAVA9h14AZl9EIfJ6TnlmakLAnapp4ue7jkaoPtodesmPIOTa2TlnQ6D63nt8wIjjySSjVYlGoQc/XQK00Q/7gmwkFwAzbG4EmcMfI/vh/dh7BNwcmcLjxz5IuIhDjSxt78e/PXoN/s2UV/tnabtyxtgMM2td1F/sPVTF4v8D+r2kY+Hlwr5G1CZmh4HNypW+pwzsTWSN3ArOnQb7nIdISCPUi4LcE7UR76QmgVsHFIQ1pTeCQ4y9ZQAhSBO5BCmPfNr8Ktgd5R7tWmIOXSEuApfa534PNIAxHepdRhWxiVWR+X2qNhSrDjWJVuY6oa2NKL2OmXgHbGr4ehqD2djJw1qM6FhDwag6sgo7WyXa0aOdCrzgEFQoUzAiSMU1ddkWudayBlqihZa+F/LPvQzqbgW4D1doIJrwnCZSoIzGlI5RzUDdKGDcDm/PFsfNQXncevGgK3TtC6B47C736zUjYHYj94EGEXybbX/jIv2873HWboT68zjdJmIBFzXvtWh8aLKyOXI1WIzgSUsV7NZ5OBzEmJ0XgIdfZegkELTKKUh764eN/lk1RTvjVDlN5KdRrbEDhcu6pBTbx5pCOjiMPIHHge9KO1+vz4OejQAVKtvDN+fsx7b0ArTwG3wjBpz7TKNMNUwxX2d2N/pdUb9s3cfD74HFXS7fBo0UA4ZrgPvkz8Q3oOmcb+FcXXBjjku24pCtY/GCw7GjYwQtxG7MFD31037eta5fglhutYbBjGHM0dqld7uKZ4NcQ1sWroHYse5u7oVOXGs3OIRtUJ1/mlMhds0XGu2lXgCY/Vhl7XeCdzGSR48Z9KTVn16JZOw+ZenC/bjWYN3pd9E6U8wC9s4LeLRn5BI52ZA90IwnfDJEdc4JIDTUvSmcboFsisQ1GuBXZ9EHUtTl6Z32EJjUY80F7dlI+OH7oYLBjFfRJ/vhZco99naSAFakhbFrIvVI9FvA6fDzeh6a015Hy1JJwW+OYLtkEzGmCDI3GUVhhuJkEXALdWa+T7cGcyad3cTnoru99gYPgrd4i+bvB8XvWymLKjYU0FkphsVMLnp0aU30a7ziYd8Q7MZ+90Jf96lAq3wFH7Ri/Lb5G2nAnKgKD7gzKM7itgPMTxV1Jf08pAKf5iJjeetDZx+PBu7E4PoPuv5bcdFxZosIEn+XOcVWZ2T/Ixgl5OqjOXcouS+0vpplwUCYtaNktCj5OhsxSVNd0YzkOM+8fRBVT0BGDsm3VkWheyIBGeYqaK/NSTkJbLeO7KEEB0irszeSeX0fFy0GDRfOEJpk19yHRlw7CFzbu2boKju/gPZUhIOmRfeEgRLa6VieRbI9bYj1UD/MyXUgL0rMg80Ng3PWbQVtV/zg151HeZPMajk79Fd2hHyxa1tPrOKkcL6XnjPOO1YAQgharkujtaoPBgzHe3o/29l5u6dX+4Vv343f/01+cEpV5Ur00+WkjtXf4GHJoZkUl4l1cPLl8IF+CXprGF0e+h49N/AS3Tz6E1soU5qj3ul9t8ekKdu8knAlKCYyuug5s4PCkzHj2Zwj903/HcuA9HgO6EhY6aMWx3aBJRDVIqyGOXMRHxfSRIiN23AwGtsVnwhvPPiQnxbuiLXgm2gkexExBxpHw4Ot1eeaoSx0Og9x81qks1AkcdU5pmS7PBr8wgPm6QLsTwlzNRrMOGDRATkd9zJd8eHY/TYdCEPY4Egd/AFhZ5J04UTea1l225Cq8Q4GPk2Fl81k+s5OSmfCRL6yl/IGmZGCU5Qa8k6ZRgcrwF2Qs+zRpY71WyDI7Q40a4LoJTQe7/GotWxvaU2MeTaxqLYFBGCUg/NRSvb5YGgH6TQS0868nOIdy9yXgI25qra+tzJz2DJ2pgbeyBsq9V6CeWhscxbT98zRBTS65HO8YnD/70zKOILApMvo0uH0vibRMsLKHEJ7YQcZjbVnIu0fkfobv10700JgUOq7gWnESLhm0jh9BM/X7wqaxy6+hvH0dsjf2In9REnZ3C/y+tYDjwi8PoL6mF8s/XvdauIaPqrsX7vTLcGeJhyxUP/d/0BjcCc2woFXnIIp5CcbI9Pk58Ngg6PrCjFP5LKk2cprk7NgdAYhcX9XBolzA9tPT0ENABMF4z0BCFQ6OxObRoodlvEN0H+xZZ7D7zhMDHmZewKVyV7uXTpq4dNNuGZ4NdJYT4PGXdahVJPOTacn/R97H3xQ93FP2cH/Fx6ibwtpZA162BSHTRFtXcO8y8qs46liZPTPHInZHqXAkVpxjYz0fH/O3B0cxZ9tI0zXuoOfw7wlkv2NVJ9YlomCQvovSnZ2O46LmJqxPRwB6fLm+Mow4wPaPXRCUK5B872ogFIEEB/JzUrfYEdPB4j5ag2fNYU+MTuN3XzyI3XYQn09AcjcTGEvAgUaAOQPnvKBySYhjA18rHSt7oAlctZP/nHm6BtcrlcO+6bOwf+334Fx7O9Co4yD2u8Nlm5BLuhhwZ9lunI1tuFEWsaoY9F9HRUHKDtmr7NFpfGe+EoWSYTi0cEWvPDTPQdtUF8IFA1rJJqBcR4ke7kogxeK8wlob3A7qT+CiPlxFPNuJ1Q+V0EwLTxpN3IUQ6Bxqp0Zio6o7mHXb4VPjGRpoQrGzHV4qDd2xEN95CKD2EvvHv0V0x34IoWP+pvfAvvQaLP6o42TSKcAyF4e8Nn+msduRcNwlCf1t26Wsv/Cw5KfqLJzf3r1GJsnOCgybs6DXCZeXgw0+DFg37f46QECsnTi2g1AmIIfBmKy3EwX/MIbMZ1FImNRfGlCLJm60jWKB+tgANo28kgAAEABJREFU1JDC2+DEhh6lBd1puFYShQ23QlubA+j5bH/xQry/HgGD48WrzkHp0q2obu3HbfG1YCCLwbLfn30Kz1Ifofsabk9X8b7eNHix9DOJTSiuH8OIVsDewz5yDw8ilc/CyFB+2/ugPrwAa1J/E3Oor3kN/zyVgWYj0gOP+pC2chVXFYXM8vWAdzLhIqee8aSkU55NYh2sYvAOepVRqffWboVwCFjyPTiNOa4MWMHRZsYBYcGPxODRPBQn+bjj+1GkOkQ4hiZjA+S7R5fOpvdD0PwxMmiAf13FWdhNHqzBSTBgxgvZvCCil8qI7AgWNThOnc9xDwmkojFUButoYIkc9JpIIzC36UUL8f0GDBr/8BZ89MaxKA4tJMjsCfDUfB2+psEnG8RNJ6Ran8lLrhx/GejO4y3jBafTP0tVZT0Bl2rR1i05H7EmPYsc2YZYbg3GVL5nFnlRwjcCLEC4UvOOO0NOMD6pHeQnKxCfpc6gOy+UPVAmkPdkkReF8e523pkeE6bsi0qNthMjbGVRtFf1qjLubdglnGDQDcq/1vXhCh853YIpavBQh1WzkHx8H8SLwcJbfWPjSANOSMRx5rxgYbZV2w7LbyItDY0oSe7zgGYAIady3LsYFYEdXPCPyrhvhVN//BEYwzNIvTKHzF1PIXXXo0gTcR8ym67jqd4WxMiA3dzaj7ShY7iZ+iyqh8SEkPdf8Aclt5CCRmM/6KNXgrEvJNIkAb0G9YvkG6R2wPWRpwUIioyWiXYaFz1UbQLHKNyJBvfLm6e0k9gwFPXM95e8BrR38v7++A/+BX7xgz+XdP3VF+GG914s/UrH/H1XnIf3Xn4umhKxd7KoJ7w2G/EZMpj5LCyOtK/g4KHJYZjlafxm9km8pzYE9cL9weSPOAr4aJmnah5W9XSjamoII48oGTWzbgb2bV+A/eEv0KR/DUATLePZAHjn3QMyMTkd7T7aaHLB/0DVqmTheQI16izrOlAmgLunMolxg9JTXK3xj1M5Pf/jEpfWF4XXgUw5BWd0FK004a/xQE9xfYNm0MRPdpxMDTnM+XugmS7CGciPTv2O0ATmawJhT8NopYYMtSwjBNSJipStVzqHJickGEVoIoe6KKHoN8FOvBfdB0xknrIQf9SEuMdE7DkLXXUDXSkdif5gkAV9nq37+IeiJ3cDkrjw5XJU3G74ZAiHrUk0pYOBpDh5LO1C5GUejwBhVhn0vJh7ieCmxMwYi2eIaiA88SIEgX4Mgtkn+ekwRV3xW150hIZWW2pErpjgdSjN/Aj4+A1+jjyZ4h3DlcZ1X0d2Z5KcqYG3tAY8Myon/CdbDPIJpWVQgN87nRZR1XFcKxWM23/i0A8QG3oEmRf+Qr4LrFsp7umss+YIrKICqkU68i79uiX4NN5lvRZE6xqE58EnnZtpgptJokzDHv8zNlQr8IuT8EUddg8ZwEtzAZJp2OddKrUuXdPXdVRv/3XwBM8hINaP0gSCgDtRzEEQAMAR1WRQdy0glIFv6qyGXgPMBuhevmgTyudvRHVzH0pjAg4Z9SIzBc3yERYNw5viVijvQ7E8tljBeDPKW4wot/WmIPed/zLgwaWo9DtQP+VmWdE0jQc+YTVpOwIrQWUmgJHDePysusGM2BECa9wRvJ8mIreUf4Hbxx/HR0YJwKaIqzamyD31b6YlLCOXZ3KSs9MTDXTjjc0YVdeTR8gw2M7/UPU/nLMGF7U0gUF2jn88AWvjUVAxMd1ZwoaPe+i/wUf3ZUDfFQK86UDtLNWPBAvOi/MQjXv2k8Ez5OvfPxWU7yfGNIqmA5dsIjBY/hGy6RJpaEd2y00U14Q1pDUB3oDx8+pSO4XWJsC73/nXDn2DwXXdzefDa+xyXVyGd5Of74fLy7/mYK7I00xUQk2ApkG3Q9jMhqwAdltZAmQF3FibjKqXpyRf7mhUx/EYkA93wfap7dFii6g7BNBVoNGfK0wU9DBSKWqwOPHHRAz1VRmYIQfd5UnMxtYRgO6h5aiHVfqH0K99GPGhKnzfR9Yi29YJwRU6+DM4paO+kRZoSLCOjiL6d3+C6BRdTzeRv/X9qJ93PoUs/Q4NC6lYu4biSd/rczLpIJ0CYwIJ8Nu7pVcbOQw02qpUnMSRdm+tAn6PuY/kqCOjAoPJaRAWiPWVeVZJ0mpF6vtysJO9UlaOTaCLAmMspFDXHBzqN0EmvQS7hVsDj22gj1bPk/v2fMO0GB0mW9antsDjKpfh9vOT2BzT0FKJ4MnnQrIgTnsK1U190s/O76S2g8Ey9o8V1yGqG+gmcJ1lpg9E+3B5czPyq8YxWs9Cf47qmwLsC9bCZ+CJ/OrrX7JWevV9AaAthYbDvyR44CcannlWkxqtWEHqO4/KfziY+PkOWBVqdBRy9f4AqNpTmyPpjX2deND2zHkB4YCeJ7Ubg6gwJjPm8dBNxaVfLwvJT+SIw3uoL6U6DIXp+Z4oFui9tJGrBEcdJZLn0Btq0diYgksNrJAYgijPyXIYDXDRJsA9RIuooE+dFlDzN15EPiD60iFwHbHgxH2IsIlkuA4e+3MHTl5WTrOcdLpeaocpr81h4cYRE+x/M0ndlxML6l4rZKnuDcAwwLvb3UREXk4rVSRf7PDzUDvdWe+e+x5m7yoS7V2yvIIXaKTvmLN8TPVaO2WgRvNxJ+ZLv06LQ9LzDjoMspZ8W/YLvIP81YrSqkdwW5yMU4p4b/Ewpt3jny0FHfd9oR6MeddTH8OBxWJQB+arLGhx3MV0fiiwPV+oTi+oB52g722nIbOuAWXdRHd2BvpMAck989B2jsEjPCvX1I3olqBNqsRzhAF5qCOMNkRFN0wR9BG2X5ZRvHgEgvLUqI6cxgYGGUBOSttKLmgxdgA2StL/RhwXddRA41Ajr/DuQVQaYHcsF4ZeLEtisF1zcvjetmDA3BZLUYoLYc6sw4G2FGqEwSWHIT8FL+hjI1qblCem9uPfjs3gyPRhuuegLttMAr4o9P7SIAacwxKg5/pIV3qprzbJ9puX5fIIY+I5HEWFmW9cgIUz9CtXA/RKvHP3HI2EwEA6024yIs49a92CzDqmX//4DXj4yR2YWjTRwmn0+eDNjizNYbuKGXcTBkvUIZLR/zlMY3vXJsyd83nwcRYMArY6BdyWfUbG/3HZR1JL4FCzCdu0kbRz8hxGNrq8njXHAe8MlsuE5PT1kEPfWAwQhTnw/LYaSkGjpynIzmiyZzHrplEP00SwVoE2cgRm4yiZ7Jpt0NwEbKMJBcdFbHYadQKqqdSAYYM/qWXHyXBnNuu/hEH3Rxh1f4I57xXM+fugdralTUAzBMqUvJcmTJyHqJHhQ56ZtI+S68PO98F1muD5DmBOIee1YKx2IXr01dAIgKhNCdjjGixbQ8IS4M3/a9uE/Cd4lA1GKI+vEdj+IoHu/yvvHQe6i3gbHNeCT0BG3JzhJChMeJKfzPH1EBmHYRlFgsHJlPSLalXyt9U5DS/Gk6PIRGAcv14A26MBp9bY5R6Z3PGm32Vk9Ckk990FBiXrqbXIb74dfM03/UJnMjxTA+9ADaj3jnd/yz5qhTLwO8BqZ9FuCn4n+BcfYQIaQtO7Yc0dljsMT5QHp38nifsaszAi++N6JvgZ5uLycLio5+C5Osp+GkmDQmkMAxw4jfN1SQP+x2yuuxde9mnYnW3HgR4ch8nbsI0ZIDRUb/wwvK0XQH3cTBPgVgnQ12AeHAJ/tNEjzKD5JoSZBAikV2B0qPETdDcRRWUbTayEQGmCoidz8pdeYZqYaLAgaPgzCLioeC6OxPLoM+IUCRh2fMm7dcneUSc0qUnQwQ0BcvFihdLwjk8JuNciMAjs0BSgR2BLmYBvTvJr+76PbY8cRezBWczd347xX3ShMNpOAIuOVeuC++Z4p0KRZBiCInrTPtkC5KFvWNcI/NLA12Ow+xtHxxd2tv/LRYAZRT3hV4H2oyVaNaFY/LPp9nOA9m0k0NdbE0wOGSgn8diX7pc3MbDCa+lkhmdm5mVZolSumuHiB6sHkZ9v2CC0wOPyznSKyZsoYvuex40REuj7ACHsi0Fo3pBBavCvHWJjwcTv3XRsAJd9JQqLoI0vDxt8UMPEZDNNWC2YdhirKzbIJMVRowDezagmq0ZpenlSmsBOo+2R/43mg7thE6jhcyux67RI5oB/gSAcDQ69rzkriRDZlcdlsEzhtXfQa+2glYCOwVw6CG38kkEn29OYmKayuRi1OuhKGoyQD/4cPEzT/lVd8MNxWLU4IiVKG0+j/L6rUD1nPUdZQkXCGSYJS7EsoK9vSdBrFhTgPptdmtRPtULrbIHm1WHe+9c4FdBdGwnam9+zeiGz8byNollGJmJgW7Us9XzkmaB8eSzR7KLUseMR+DHmPkLPso4mbQN69PejtRDiIMwnfFT9HI1Bk3BirVKn1wqSv9UOjx28GM3XKfVdCbcxTl4Yb8EnrtNozlHGyEANL73MvQzHOkYMlv2L5Fm4zliFTGUDdIrSND8rgWMV6yOxtYj3lXCWexi+U0OOFuH0bd0qeIFr/Rnp1wam8IPxPfh5Yyc5K597XmCKmvjw3ircH+1C+q5HoJfKC+OXZfTT+2Bg69ScBPq4D35sUXrO47USj19OzJfJwqO65HzUiUbzShYY8BSaxl64i56zVCx2ahX56y/daIJPC4x8Nvmk9yQG3O9i3j+4OCZ4d3s5Ss89FEUivFmGmSJF6UxUE3UC+V6WOnb4n3WDFq3NySx8y0RtXRc8AvPK2wP7QB0t49I9uMkQYuEaosIHH0nK6U+V9JJA08s0rju0kNYc9Nk8DmpVcapZnHI8g+a7HNmhcVO9k5oWZhW8WETeHwsMFIo6TapZWEQ+jTf1278I5/Kb3pWLsLra4T56eNFdBV5BwDr78pFOPE0LTzMFqo+WAKBHLlgE0mmBleO8k6T+afGWUPqUi8Hnql8Z6QID9fzPVo9LuExR9m3wjnhW3xALBonZuaA9ZppZe+rEfViLFpHXVmUftOkdpCy2alHUKdvrXzKxeu8A2X51aDkTY9Ve7G95DwqXnw3dwsKn4k1j3jsAjezZVv3CBT17PNSZSfLJZmNPeV+F2QKZiCEhVoE/8v+isOd1kk2Q+bD7Y4wSLjVM+NQR+zs4Ev0Jpnry8Nqb4FxxLeZuv1pS9Yom2GdPYn+iFdBMXNjUhslnBKJDURwiXZ1s8sR08O7XkQN/ImgFj3G/yM2hQmkOTR9FgvwaTLTpwCpTIOiHnwdBVIhp3TTnaEZsLgSN5ibq2JwF/GP0aZz5/OrWgHa63HqIBtNHn9p5XHHKlWAiNDxG1ulxoe+8Qifr63tlB0f8DWirOWjzqvh/wgVsW30xePeiR2Ajl7K0Jjic/0PFvWix88i6wIO08hfqaudgdNaDwWRyQkiZHa+HgPebP8NeyMl+rSL9/I9TN28CLjzfh6DJAL3XcIw0aI4vKSrycsf8mEETf0rB/2gLlFb+/Cy2Bv1Hw1gAABAASURBVJSKtEDWiKJ9YgI2zW5szYEfKSHaAVhxGYyyPwoFsnMH66IkO1kO5Y4k2sk+il8FhA4UajraXAvy45DlQp5yGnDpijb1w251C4H7Tch6ceTqbUivuhwJmtxXCWzfP+fiAJVhdrMD9zobtXOD9NEhXYLu99BCBtlRiLkueFcYg+4MwtMl5NePtqNmp2BaNbR1DEvd0NNUydJ3csdZ9JNlnybGHFussPrO+l81Ck+8sd3tqr7Kjd3mZvaQHMCU/vVyrZZHiEDE1Et/h8VHyPDOJa/xzr3evM+kO1MDp1MN2MkeMOjEC0or7XI38yNQQDUvNmXP/yLK3ZfA18PgX3ww0MD/PDhx8Pvg/22Q3vl3aH72T/B27i48lfrkBQWOZye6qewh9i4hQUCGT6NJ3m6icUhD0hAQNB74Xokm48aSuM7+B2ngqcJe1VidXhIaCO6Gs1G74GJUbr0dzmXXB8qG66ST0id8wBgnFIQkMTUGEDAuBCGl4Wb4polyXzDGGI1JNEVb+JbHBfzWUegcXZCRTyFGUYOgoW1XLAs+lqLfTILwVowF2aCH7omivaPfxbvbT1QQnqy5NhB2Dei826oB0MwmW2SSiOZg/96zMDXXheliF1kAUaSoTrtWteDiq7qRbm3YCTL2qzuZjEm2jUC6UMDIoiNk0mQ3cmo+RuaVXBFRArv/5aZeMBjP+lejrmhIpuFd8dnGLxkWp/G6A+BR2l8Esssw4gxg8q47L5GG19h5/uhEsOP0jtWdSFPbKITqeLZpGtUGEMr2nHPRtTIL8/Ef4ZLaPC4OCbKzfNxfCSZ6HHjQpkZHnnVkS/I1eIc8A1+kelu/b/bFokLILLPHbhWFQbp/WpjKhdrhkY2oOyFs9iMART2q56HZAm5jPF+pv0rsewyAgy57P4qiG67vQ7h1CNuGVq0T2KzDFxrKZgzpjE9xT/41WshmzjiI2mV0EtjJdS/Bx1oFfKwF7BocvYI5s40yEujeNE4cGJ8ke7qlDV5LKzQ9BpHqQm3jRpQu2SLDFzsMtj/4U02q0img0YSl/HocdV8M4C9O71pJ6Bv7oMVMAkPnAtCd7mNxnOV+PmaSdV7jOBnG+54rT0OjZ3e+W6K6JTDYapLPxLMSgNAQGX+eQPSgj5zz91APXYKOGNIiuPee8RrWjhqoxTLwRA3F+Z+irlMnCMj8hFvDW/3hsYOv4VLZeV7GfkWRlgwuX7WPylLHyzs9DA9T41OBDb45lMb20Y0AIU9ziQw0zYc5HrzvHIUBrX+XXIfLi4OoUQ3sO6ttxefqJyMor+lG2XVw5NAQ/ja/Gw+Uh7B3n8DhIwKriqO4ZuoZmAdorKGMywQsz91+Fex2uqYRQchtls/y9uEchQL3FINFYCm8TsdpHG0SGdNlDq5HHRa1E4/uk9u/n85A0DsrbA82zQFlpGWOxr+kFiHw+e0M4nsEvJVo/sh81tsBXoRhoI6TVWZfYYZE03ZoBNqxYILeGSsCm4b9ulGAYwT359AiTXj3APjjpBM0zpvslf+I0Y1F5YKEOlrGSZswqF1FDRdOzpF9i4z8Kk5oQkPqRROCmiSP54UtDuymoK8w58WrpH5twXwNvdHcPVqsE/WKzEDAlFxtHHAygf2hdvDLwEWOn26Fe94VizTvHq9o7wwKmw+ecSAELuMZnifw+IEeHDgIvLKb6p8W8TnU84L3TS+SjhXvIKnd4ZvN9GsqxWcSG9FCwDeDtPcUD5807WOVcQmQbzYziIqgfdCwJtPEY5K9JufCMI9ZwAu1KbI5bAw6BZm+o16DWbagV0OoJajtx+MYql+KofTZiF4UR9t5wbsgI5Mz5+8mF0iK9dRqg4IUvBhG3Cbq+WwZxo7REpS5vLeKepE1xyghAruq4Afv9rGQ1+bLui/BQ132Izzm6KUKPOoD/LABneyGiNYKXqBjCs3vxFQ4gqOiA1Fa4OqvCWmbNdUFhiNp5E0L8ckSzEVlDYtWxI88iP0a9T3U9w8aTUiO7CS7wqfrOvg8zc22hARSRhGH7RISoh9uOoH4XJhsEAclbxT84THHtZJyU6BJ8zXWnaFfvRrQTpdbvv7qC/Hkc6/gb77xQ+w/PIx8sYxnduzFV/72HkQjYaxbffxugdOh7P8h5+Geso0oGVC3F17G/5h/DPG2TccVjUETXuXS63n8X/ngH748XnIx2AB4IwgM1skpsTQt7xZoGL/SqKFQQVEuPN8DHy3DkwG6NDRdp2mHh5GmGFwTaKvOYjS2lWI3vpSPfd3tmD8yBpqTwIdAzoyibeAwbOquXM2XERcfJ8P/BMJ1C9J4TohV6NKuQbd+nYxXRw6RDOQn6gFCE5ivaAhRvqCPVq+CJ1jZtId81Eex7sMpbKAOKI2yl8CQcyO6ahE4tGKbpwl0vclD540u4ue4sFMeeGddcT1ZQJRX9aiOZjIGtfEx1AaPQhscRG56Bl+ZLONgzaUYoIUCH6VK0EZ6Nk4gnBLgI2XmBqlwMsaJHY86Zg7Vy9PwaQLNfv7lAPNfZRI0EXqju9tV/XEd24mexoAzrNSvhcu4PFjxAMigIYOI/D7xQFZYfyvUTmAZ8YxzpgZ+iWpAtW0FSi++NbW7vdKxHb4eksTxs+f/FngnYrXjPPDYU0+thRNtpfCwTB4deUry08Wx5g7JonB5pWeZo5cDcGvWbpchST/o+92YoDHNgTZyBPpLT8L80VehF1wI3UR9fbCTRiZYwanf9s/hXBKAoIuD3WYysJ0CQJM/vexC2/s8+GxjQTMe3UoBBH74NObV2l0CnwCeRJuLQHfC/FCeoBybp6AZQATBZMfKagQKAgOhecSEiX4jgRHHR5kG5W5avI8ISvMOfiODurwXO+nLMfhERSl5DniHe1cliXALIGq06g76kJ1BLtyqwQyxhIHrPrYan/iNHlz/0Q5ccV0GqzZGZdhrcVItIYquo1KMIacQbNKkQya5wGGyF9nzJQIYMw0dy6dCaxJBeUbLDSRkcSK6HwU+MhjJC/ESbKcFBo9sBfmPSynOrrniwu76s1JxMOjP2bzSksUub569ktyLr4W7/T1ArSIB0Bvr89JO4l3tT9cCW+WQI6PistF90uM1E0BB15DCu9iJiMDGrAS3CX5Hxp8OGnwxRGAsTd91WsBJVH30WnEUNQIFaoWF3ci8eCjIJlFVYM2NgIlNzpAOlPRe2SZ9uw5Rd6DPzYNeK2RpUStk6lgJpDDnNfA7qfIMIYXa1hhAZW0+cABWJQH+aNPjMCeyEAS4V80cZtEBIYCePhOdqybgE5LGQG19fT+8jl44bR0oXHseJ11CxRLAYHuJOP/vo2uublTGklivTbBMgPPiVNlFGBbv4hZ03+b2DeC2ynMF896/kW2P465Eao6h2vzQEDAezcKkRbXtdSo0JbIza2Hmh+HRM7ITvaQBEge+j2L1BfDGHA0WuvSraVZhQavlIdwqYrUw4qkPkM6EXppG1ZsCj0WcmOMwfyuJ2w7n7zY217B/MfX2ClzYtQeaU8GzL9DcIbjVxVGwb7+QcnhtALJZQ9zBS5V0Vv3iIFqSGp7dAPztxgPgXazLj45gsOvO3hkaVnx84JWgv/n24BjGHhnBTWOP4jp7J/iM9zEviZEbrpbAsk8PuHjlNgk2m1YXzFoU1wyMQwF3nKcswCk63IdV/+krEGODMoVNcy/2UBNmBnV+u/rfFG7cpHrxYVYsGrvKMs5yRxs9Qu9DCD4BWp4OFPwgbwsp6IihiimM+z9HLvsE5lrm4Os6ouFglzoaH47rWQbK8RoBf9MorXVRWeXQwkZWxqicu15y5eSXHS3D57j7VgjN0TpA88/cQRXzxJzB9vhBQ0ZgsL3S70o/j+vsiQwGYex/M8igBXfOh39VwAsTDDCzrIkwM3rGwfW8eETKeqExrkrpl8PR+oLnLheTaRxcfFfcRxWLwKyTlmre0a36Iqc+InV8JI/2FvzyQGZ+io46mmWz1QBBTjFdVJj4g8wFMjb/D4a9tWARQSqWOeofnKrd7bz4WaembVlYcTFvWfLjxPNDbVK3p54FHwnIAvchYdeGZusQmo5yk0CpRG2v0IKWc/3jwHYbJfkua9THp7Rj7+M3S2F8tXg2Zj2Ps5UkIgZoOgLNt1EO1g+lnp2waJX9gkv5VWZeRvrOh2COznDQieg4fcWjPgKj4LIwLrW68l6c+6NunPVoP9aHbyW6eSENYzs8Dj0R6QfIIL8kLBYW5NqoS7O9OPZnMtBpfI+N2zKdTv1WdGI37OIUZow47FgHBqw2RKsOIuUKfHiI6rP4dVqYtISOF6hfvq84DF40i+ciZBPbsq481GV+DoHz7Flp0xTrz9Avfw1op8st/sanbsb1V1+EP/2bu/GRz/97XHrzF/HPfueP8cr+o/ij3/8CmhKx06WoS8rBu62rXhn/avJH+EDpFSjQY0mkhlBu7PLtmtuDS5GX2uG2LlRNDUk/C9NzsPxnoRzJWxMA58f9rJkHK6KqiMhOxNZdPNCTAv9zkfbaBCa9Lk4uyb72dvglF/XAxqPOArCp09RmaCJB3DHJ0DDraN4adJjcSdTmdsMkQH71j8fQWlwP7iRNxCh2irqaOvTOYLDwi4AV9eF6AmnbBH9GaPLapbMPyFE/X/EpvLARbqUP+3JXY8PWXlhHDdQp7ZTw0HOdB7LfgwQNt9bhYbrXwwzl+/5RAxvnhQzReIDIzaE6OoI/e/kQ/nr/MPyQjWK5FxzDqA6idWPQtMd3BvcjE57AcUNJGaLTYojfGtSZyAdGngz4FXV45zgPUjYB5bxg9EargUFAziMy+jSz10wMtPMxGaGZPTItl6u4+v3Ibf886um1UnfGOVMDv4w1wO8ft3fuo/iXHeoe2W8WRmgCG8ZKQDWnK/VdheKa68G//uDjzXJnfUomN/Ijkp8ODhvE6j64zCuWqRb0yTUnIoNTvoBPqJ1z6EGE//IPYd399zAfuR/mgUM0gbDgx5LS+JWRX6PjpOOgzGkSYkKIOHhHMmisFVoY0ClMt+DGNBprAbslGGNCU8GYw5cqDFByw4bI5KBrJkJaE6tpIUCgSkvju5Nz6COwnZWjLrvABlMEnnfIFQT0Rmhhmy+vgAf2r0S8QwuOQLoehknVoRaoy9GkjB5BYGj4NK3K0PqEVL4BxzKBVLMlcyhnqaDSB/REQw0fcMeqDvCO9QXFKXr4n6ly1FfmC8yOI3fzeVKnP/MQrG/+LzAowDaZfcdvA40NE49NBbbQB7qbZdwMgf43xMjwIeneoSks3j3vXHHzAgDa9sLPcFWYItH3xxWAd7eXyVbqpsWX2GwwS/V61lDoq39rNRsT2cCufPXYb3+MjBa8H+UAd8fsKwIO2X+qJPlwUF/6XBEt4aBSDk/nZDD3fexZfKxMbCA4npF3inpWDqloBDzf920HGqETesUlO9dH1kogTEAep19MWlUg+bKBxG4D3PZVWPHcDhzt50brQVQlZBpwAAAQAElEQVRbEaomwCClNUAAK03Ia3oJRa0JFuXZmmlC15pxSuphzz4CKy7chOrmVWAwkIFSClj4FgnEXQy2X882r7kQ/IY8iVhQqaXCsT7EibXKPIWlgxeGPFog0mbGYDz+Q6k/zslTG6Y+Dry402jXk1MCE/E5hEKAOk6GnwX31Zy+1H81WK4jj3z5cVYhrW2FSfME0Ec0FkjcUAIeLaqYiCNSqSDr76ExizKlODqB8sTe0q9wqjJ/3wiuKYVFDtuPF3XuweamveDFEH5OTz4l8NLLAocOQ+5AV2BXyzkZmVLPHusvzPEs+NiTtnASq997LqIE6uy1s/h3s0/jniJlQCmYfzn3Ep7tpDFAj2JNIYwv0Tvwf/1kFufM7EBrqIhIWwQjW8/CTzoux4tHo5Qq+DIAW96+Hn44KtujTisht/kBKHl/iVZFgmin5BqP/gDu6CCMHY/K+Az+Sk/D8bxgnPWTwX16zRkJuOuOQb16rhFrKRMjR6BpcYDKx8fJqJ2dTWI9evXr0FxaAz1bRLG4SyaMxjYutBGpIIfnl17EQjVZhzU0iWqXC2MyqFd+l+zOoDwUVX6DOgnA2/hju8BHtPihCJqo2jRqx+XxY++CTLDMETSMxGgOyupyn4tKv8teSbzhy6WmotcAvSSk7s1wVF5u3JfZ8UK1oEVGYRrge2TiACeTYEZ1Ni/5L5vjtQTzbF7IXLg3embF2SpylSi0SJj6V8h3cdZoxKW+y24K6s1sYAELad9GDy+ilQhEjgkTrXrkNV+Z03wktlam+3/zrxD4TQO/lI45DMRz/8HX2GwF7zmPHxwjFmP3tRPnw/nxznYF5m8JpeFXgnfa8w2UNQceVXFTbwRty3a28xV5oZR5RLRCg8VeabMcdHwI0sx7FmzQQAegtr4LZsJHc3kUUzs00iz9ZsQWqWDAXavVEXtyt5RP1ZlbttM+uuMgBI37zqoe6O1d0IS+kBVv1GPhkViwAWer6aIwIFglqbWsYXdrB2rCRHqAXnrSxushMAYyZDbB5t2lQiAf78Sg2YxYmWwD16GF42mC04exSk9gzI6BF1Hurg9Bi6YRKYQgyCar+8E7rPA/xi+0t2HMo1s48z3NakA7XcpjWSa+/J++iHv+9v/Bf/m9z+PffPETUn78u3+G910RTHhOl7IuLsfNUQ0fcV7BOeVBWLQKthLooeJ7BOzyTkOWr5kJJgu6oBe1yUDdsNFcm8HkFIcuJa9ntVSwUSM9DUdNcoUfhifqKJs6Xu5gv4+ol8esm0b5klvgXPcxeGu2oHBkjFIKjBIQAeoecwZZJrUKOsZnUUiW0faBMq1ICvCn4B6FViogNuFI0D30ra/If/YFim+KGEdB3ZtDuGEDhcieFQaQrwm02RbmqKNZ35hMTK/yUHQ86D5QLX6GwPCL0ZLTYJN9X3R9mJvc48B2eQFy/ixTx8MdNuA4uCXfhssjaXxpYy9u6G7G+mSUYgCv5MvYZ5RQrq+B5xnQRQ6rz56VYeMvuajm6MJSWtlxo20yQKtSx2iFpR/5YBAKhF8tlydJDG7zcTJ856rNsv+NEANprpXEctDwVPLkMvFAxXG5PPy/EfKbbwf/VIt1v/J0pgJ+6Wtg+YIVvxORxuJVqe/KBQDj1SrCo3HIiba+rvfw1fJ+veFqd3utNTDCV8pHLweD46zdKYObPJox0wpyuBRFIt+GRG0VEv4GRKyzIbpXo75xHdQEViZ4DQ5P5n1RhtDD0PUm8LjHyU3RBEHAkW9ocFIeq1BtdyU3aEyTHnLKfDRc6yiMkE/TkhQ0cnmCb+YFsgS5j4ZLWGUmKCagjkbr1k8+TsnIb6ETHtUl8Mi72+3Gva10OZ5w+rQI3lSLQKc5F5Oqn3ID0PJqIZk0FtckfzOceCIss5mYCSZ0LGyNko6q7YOdzbiopYlVr5m6G6C9Osd9eQZedzA5ZqCdw5yLroV902cAAndYPlQogymqa9iWDp4p6y9ABhvmmlB1PPzvfcOsWiAGQFnQ976AG+15pDUB3rzxtRLdDAVso3oVh4OF5adFEs/OkG1C+hN9GdD/o73D+KOD43jgNe4UO1Geb6WeN1rM8XEBdJGm9cE956x2kgDDDmNjnIAADZixqwhNagTWJmWYXp6W3MoeRmiaFhrpffRMwAvnUOzpACHsYKBd1BxoM5PwKOsc9XfqnHOZuOHE95PB2vAbjZ2nLKYIMD7cn8JLTV00mQ4hVEkg9tIgtHIFHhzMaVE4Wgicp4koMm05hKJFCQ5NzIdQumQzuP/Aok+RmiyDuAzm8m70NxNs58u0B1VH8wfBoiRfD8Gn/ku4VYhYVILu3Ga5zS0H3Q3qW5t+9v+DRsC0S3MFmQE5eyYq4PPbW0Iu1lYCm5jtOCM/SqEA+3kx92iPgCdspN0eMMgqA8kxSkGf7dJ4w6TpSVh1B2Z5BvMRm2IA2tsAPqjjiFxqC/Kiyxw72Ss1V/buBANa/Jz4iJeXdwn84mkNz70gZPimjT5sAn55XDGyeWjFitRHCOxhT2VLP7Y0d+NPW9+DG6L9YGCOQZgvTP1cgjEc54OtPbC62+C6wAXPeWinRZIZ6m//+nKBg7ddhI73dXM0ecQMtxspkFPd2o/apn6IcFq2ybNHJhEjgIiBOe6TKcqrfvlXYNrYERlP42NgyMcA+WLQXe1w91qCcdZrJe4UIAtcoUJTmiXfWgW8kCOMJvCRMk6oRiNc8NwT5WYkH9+HNfdM46yftYGPWvCjESSSZy/JgoWwSMEPWSilarR4MSvBM2s4yKe2voejEHlEx77VrQGAZk7OwjPr8Kidh00By3dAa/GSjsVe6ls83i0G21UsNb5HaFxUujfKjQZ4r+qb5/Cap8PXTLjxyEL2Li3ksWAsWtRh+ZeFfG5TdDO8kElMfqtTOeTpXSgTwHzBeR462qjzppA5N0MuffM51Bq2ljmvkeKd+e6tBwtSDGC/3hLcFl8LPiqGNy5w/7A8H/XPUq+MdCFK7ziHZ2fZBY07Qb0E0mtzzw+3ygSPVRgLAvqNJL3WFVg1AyEnApvs2mg0hu7LDBlvuVMXgR0SFm0LQbvswCugY9KNwUOgsMkmM8j+TTuT0HJVFAYFFn9iWjdMLwr+fw71sEsLW2WEDo4sjnJCf9kflX2MRnZ1SlsPXvAMHRoF98vlZb+E4Uz4F1n7rFZMmVGEhYtVroPG/h3wTv6wS31vqgt1oSM+FZS/ZWwYgsbOQasNPqXjfKDpGG0/H/GqoDCHMLAcPNSR0jpxSyz4xz/8PJ+NVRHPhagPc1Hwj8qkHo09vDjNApeH+ZtGZzJ6V9TAO9drrVA9vu8jZJnoaM3ghmsuljvei6UyZrLBS75CkndcdX1Y4JypYNXe6LwQvh46aZnKjV3uZ+X2AgQYjLk63I42CAG0OMFkYnKShEW5+LQaLHenFOYgaJVXBYnpcemdF61wdR+zkRCq0TwmIhZCWgWpegFjHe+BuylYsMjum5DxK2t7IOgvRNceiFpomytKfU0jo0r6gHJhL3zPJQCjF+7m84FaBfzPvsxvfgXxsZqMVcU0Yl3Si4gHCJo0ztcFUq6J0UoN66nzBn2yrT6cGHjDILqpxfXQQKof0OFSNrNhD81n+RTr+O/LdR+HaOX0+U4Hg6kCQp6GT+Y7scGM4fquFvwrAt4v6miWCUfoenoTDR6eBVpWRCxSROd2Hfw58pjL7ISkjHA2yr3Gzh7UqieM/24KMEdfgLX7u4gNPUoT1N3gCat2kgkOhzXt+jpCM7wDKYxS39WotW5902650n2JzCv8Gv956mLwnyd4Hg1eMqMzzpka+BWpATvZI3cTqgUrfifYz0bca31Hq+3nylqz5oLdd1J4B53QNI2HdP16KgA3ybvky8fmWDO74Doacm4bkjQf4N3tGv8jN0GT69WbYK9ZD7unH24bjafNKdS2rZzXkoxPIHjxKHyDLsJ9pRmHrrfImJqIAjRJgabDbvLgk7ntxnyo3XBmA3TnyYWXnoYeAXhiwYkVqHcklAef395HC/SsP2izC6wztcCzzLVmNBgFgbfyQ1WIyFgwXq4EPiy+9pBTINsASNfDEDTccpiyRbKhOItIeDS4ky+eMMl9c74tXRGyWoDMbB4jjSG9JxXHn1y4EVd3B8/n9VxJ7XBnm6XqkiGzPBOyCbze9VLLYDsfCyOFhvPg2Kz0XdmeRphAdymQw5uiLh3vQLxuyeNm7huaIm3jy3l2r5ECH1XzhUTw7Bl0Z+WG8hy0Qhb7Ex24U2vCNwcmsCQ9R2rQWLmGP98/LDc5sOrB0dkTxuXw10KaV3kt0U8aNxM0L/AZ7mOPamBArPksIB1ULUoEynIG5mQOfNSSS7bhUaMAPtbBibZxEBgYZk/84KNkUAK1lkvh8fZrUloZAdsIwaV5hJ53YGTLpBUoGBEk4wb5j31Nek9NWvxSGr0BhLFsIobeXgc7m7rxTGId+BMaJ9u4XkXNmseU1g+NwIV0xiQevADptixHw6EAy5R+5TBo+kbAdhsllAlgqCGY3GOFTyYdKJf/QtaJBu+FUZoGqM3VP/IFIBSB/tITMO/5azAAyynDEzuAXB56NQueb7BughYNh60c9X0C7+GHRUoea4RTo8XaeZrrhOHSM6uFdFRiSRgEWvQMBEA8RZVfozIjubKx6+k1MP0YVvMBzdUA9OExTEZ6Cx21i96zkitehe1Jl8LC/jw+fNUkrrnSx2WXeNh2to+1a3z09figYQVnN+YqTjrIxxyfhTU4SQAx1RvNXRUAHBUmPp3YiD9IXQg+toGBd+YsM9g2s57alS9Q0KM4vGo7vvbRTvy8RwMfQ6NFbbQHzf248+QZTHJpdcWyI+h9bi8UgMYgz4o3tkypP/OzY5paZeH5qx3Xbgjw54J5pQJFub1A0PhDX1Srx9I3fAq410JNgKahSG2Vg5IDLprvehIhAsJY9nv6kFn7CfQ0fw6WlmHVEjJFCvRCodTsSb05PrcAwNV721Dzszji3o2st0uGs+NTndvtzeyFMVuA3WZJf0oLxp/arJDycudUxrtKdzDIGLmgb16ex+uR9WJQHrYZZHp+Bp4Orjc3k4BT9SX5liGDRc2R/JfNUX2MNhrYn9xH7vxZgE9kNrZjHZlu1MzlbY+5nZLzoo7d2OFuvEnPhP8xqS9zP3VnL+8UpOiv9TgZSrLk+5tNW2XfwOA3/x8HFchlYh3L5xPYy5zJtgUzhKyAS+E1OurMeQb6OWkrLcg61Rz13TpqVLca5Z1o/P8ADl9ORS/o38OiVQbx/x/i4/CkAIEaDPi+LUWPFpDqfe2wEj7i9VnkDkr1gqMRWB6fJ3uaNJPrcuSC3vdgTJDCCRwGuKe9l2RoWttKXYaFxQuefF0ZuMgxC6PYZzbDMyxssybhTqbBQ1q0A0ht8NFWArJ6AhPxJiTmfKzfr5OdmZNj3M72i2ROUe4DyXc4vRlOywXQqf+GQ5gcLVJ3znq4ynZlKwAAEABJREFUbeYoPp2dxLYD43jIn0VsKA5hO6j5wb1RUrJXtjBDZPT1/cpfJj7jvGtrQDtdSl4qV/HZ3/5vuPmz/xb//P/8H3h2x15ZtP/5/35bHi0jhdPQMaZ3I1mcQI0m5W7nBa9aQo+AQt6hyxG35IPBZm9zYHwk3KCzGR4RHLyE/J7G5GwkWC3jQG0mMIxcLQ6f/kaawoiJLHY3x1E3fGRqsws7XtyhWQK4q6jQQL56Wy+EDyTJaCsZAqlCnbND3fck92jFrlY+Cp36TWPTNXCuvR32h78A/hmYRqB/7KGHIIp52ZGE0kEa0xHQKK8yAe6tBLiDPqIBWjNoHu7wUKGoDk1sYvtNuFkNs7aHxKWu3CVH0Zd8uSP/htrtRZP3O/VRHAqXEbV1JF82wQYTJ+iOhpmBd3gh1o6q3UTdvgctfxR9F+sybG6ALix9Kzv8TDjE4N1TNClhv0aTXebvZhJuDeaRR6DPHkJ44kXwmefqnyZmXvhLJPfeRYPCo2DQjYH2ME26Uq98A3o9D5588NET1Y4AmHuz6oGBQc6b61r9zOvV8ub7UGfJ11q2vlr0M+FnamB5DfzSyJXGgi0bbOqdULrXcpN2sldGt3KHwe++FN4hh/sBvT4Pn4x/mxYVlheDwXZz5GHYKOJg8xZMud1Iaxo0nvy7LtxMM+Y+fg1yt1+1QN6vXQu7N5gULM/vVGQ3EYFHYyU8G0KYgAgm8rpOoEA4I8Omojtx1LmHylVCtTE552NlSmMCbMxrbVPQaBxWkxOLxjzQ5+XoLLkAT9h4nMt6PqJCoHkFa8ykiWVir4H4XiqDTPXWOOFRXY6pr7a7na9eojpxbR+pWgSRZp9VWFigTlL9kKbuhMh9c78ZAjiFEDAJRMm6jeu+SZdYSwssnNUI2aHMl5N9/Sdgf+p3sRxs553tTFEC2q9qD+w4ldagiWbI03DLkX6p4mNnpJ0iJcBVR9XsfRE9OnBxKLD7uC1sHN4nY93fc47k7HD6/7l7ILB1WEEUgO1DyFZt8G76q0e7aMILcNxvDoxjxQUESncqX8MeQ2rqK4jOP3Aq0V81TjS4PRQKQHkC0u5rOfeYbVaNxuFpLoyKjTXzPviomJdDs9BrgFFsl/lzX8V2ilkswBdNqLZvgRtKyLCkOY85AoBdWgQTdQdmzgF5kTcSSKU8GUc5sQOG9CoAx1x2REFPplOG72xZh1qECmxTIWoVOEYZOY3LQnYztUeLysARezYGZ1ZPTAoWF4iBJAW2x2LANVd5IIxwIfzVPB7qGHV/ignvSeI/wYD7XQIdv4NB90eke2IhufrHqXPH5vYyzAslJVfnxvotnbDfcxMYROWdzuZ9fw3jp9+GMbYH/nQOwnNgNFNBKdXEFMDnt0fCPtaW50gDcP+sduc5DTC/6k0RkBFBtGognBsBb+pA4yMIjGCvArp5s0S942JorkPtahKinoPe2AXP8d4q4nbDeXsMCrNnBXIaY0+0NoLeXl+Cftu3+bj8Uh9XX+XjA9d5oNdcpqyv4jYAWLSIFn0meFdLF22Cv+zh8j9b/W8tl+AziU34w+aLwTJn0LI6gnv73o+f9l+J1Td14f9oPUuCbwyE/cbUz/Gt7ifxMoFUf/3SBD41+RP8++wznAwegVjlS84GdBORKRcfy5pSzwDdq+1y58UVfub87M33vF+m0/a9ILnd5EnuENdmgnmon0hLnXSaAn+tcdyM1DUcbfRI4Eu2SV4N5yTPDOiS19Z1Y+72q1G8YpssvxBC6pc7JmISPLNpccylcTPy0kFqHzZs6lftzgxmvZfBn5y/l4C94Bosuy1BG+fd8DYPP1YY8TCN19UK6gWfoxxH0SEDgrqHWrsn/2fYcRFI4dJCOu9E12uQv7Ih1ZJvZFBH8+MWYkeMJfoTCXy9hR3u8aC+eaFa83X4hgk/ZOHg2M+IHoLTHPRpxlz+RNm9q/XcD8kbyAfP8clfaDCy46AqQGZjF/ijFhGzc0JiD6zzi6PU30OOCSbZRqw7VXq4PApe0PrX04+Df3HC7xW/a5+b/OmKx7qcKN89jXPX38gOd867VY/gtvga9uJrhX0LZdhbnwMv0PEOeNVfcKRs0AUjRu2S5ddDF4SDd1SlXU12lEsL1L5two45EKaAIYL+X8VR3KOxyKXFX42A8hD4RYM8TqZM6aNCAL6GCScO2y9CfWrreqCTKdheGZA73OvHgmSUnkfo5SLf9NYwHHrvzclZuVudVCf8yv8tSOWwkEKTCHa3m5NLFzyx6MPjkXCreCC6Hp7wsNEooDIY3GNilQ8rDvRGqI3RfbySbrQ99U+ruy/BAS0pc/sAxWHPqAPo8S205E7vre8iUphC6+5XEHv8FXz64SI+85KNs8dL0A+HaUwF5mfymNpbBq1lQ+EfjLHwvIfzO0NBDbz39t/B1qt/DU89vztQkPvoUzvBevLKL/s5jqJbP/f74DgykJw//vNvyjxUOPNP/8s/pJCl39GJGVx4w7/Al//qO0sD3mJJe4vzP+Xsf/TQ0xgYHpfntZ+1cfVCuk9/5P04PDiGqZncgu508mgjgdF7oONs+NyznELh1C73LSUy0j0XpUyXTJXWsogZDvaQ/cZnB0plw/FWOMdd5LPwPAFbM+DRX5+TxTW5MezposdK3zZ7EuOTQQYDOyiuAPb3d2FTIgSTBviI42EkmkaCJjgcq+LTxII8hQotdtTKiM0ZEO3Bs/AI8OczS3mHVyjvQssXqfvNwWq2KQXIVAKEDhRqOtocE/yp0Opet04XJWF2o48aAQsMRIijGjzq3AotLmJdKxtE9xMSwR35OgLxW2q0/Eh5TK2pAmFArwHxxoSpJ2RQCDBLE85oh49iuUfKJhnN8XaaFK3SUM35GN/pSv1KDj83Bns4TBrmoQh7gVol4O9SN0wgOxfdbV4X7FRv2QIn2krtNAwegMzCiATiEwe/D/4npLGhR6S+2nEe5s/+NE14k5z8TSenMbEJzRzrWE92Eb4PLi/vruIJ38ningk7UwO/zDXA7d+1knJR7I28Ex4BMTXqD7iuFIDC/uOIDMrjdG+ygkF/zpL//wnzxSTPqB99CLYoYKqrEzP6RdBFGDHdg8a/+6/nUD97M5YDHYvzeD1+BjZ8k8YWWggQNMbirOvhb7kEmknAgxGl6wnM+ZMojQtMl/ag3tiVZ81qKA4L+OEy9HRRAgghBJMTIydA8xvsi+UQEyZ4wsVndoM+6wxyVvgaDSCQx7zQJA3qK8R5M1RmY/Ja6T/xOKmuI//hFi2wp+0IdCvQqgXqckMR9eoywAoFtoAU3qCTagnBp0ldrRTBRLH4BnNbmlwdK8P//HRpSEOKxOBllk5WOeREu9s5jCdyXB1x28D58SZW4cHxGcnZ8TZfAPnLRQas8nO4IaJhjSFwY0SAf8l4INGBA02dYDD/Sxt7kTZN+cvB/71vGAy0v5Ir4s/3D6HselifbQKD7RcS+PSRQ6th1jU8SxO9/71vCItBfr7uqZJBgDvHNWxCx9nzBoluCz69S7lCkFHreb5sPwYtTLDGofbk6HX41Ockc2X0GwnIXe56AXqhg6OAbZbY4NMQDsiWuUEeMcD2GwfGw1WU6f2sCbJJaWYvPA0eQpi3mhCyBEeRxEAZv08MphU3UEakNZcdUZCKJxCJVVGxaxhJZ1CJ5OC4M6hY8yiA3mfKrqO1Kt9v0CeRziOZssFdEv/zVFIhOwcosF0dIxOPccipE4MLHlnaOmJg0gjs4NQuAQ5lf2wBeGScN0Z58znj2UVTpVpjg4KRH+FkkrwtF6D2uf8v2JYH2brmzsfgPbkDPrUjYRgIFQ/KePxL2+HkFMJh4LJK8NCcRC+Mxq71enqdjFcX84CmI+wG9mKkYXdyIIMdzJ3YsXen0v8+FHuvgKA/18vDyh2FcGsc7U2jvTYw6x3LTqsF5Vc77Y+FHPOp+7HmDh1TnsBnd9A4QGHW0CQtGJTBoPCxY08oYNE3Kkx8INqHuGY1tEB7u48t24QE8xlY5LHgDzIXSNCdI9WbC3AjdegVC5GRFhyx5/FYZZSDUFvfg+pZVPe+wOpfHAIfO8EBK+1y5zR/Nv8y1UUVemN3u3PO5TA2nsVJoI4prbV5KFPfX0vOSL2XoMVDahtSIMejeamg+jSqOr1TQd9OavlVeSDZA5/+qlaeXk4fmbE43Hh0AWiXkV/FsZCCT2NGJV6DkaV8ANgEtvM7UMUUScF3wn0y8JBb7w3aljE+K8Fz3wghFgKB9TXUGzvKseijVQXCo5rUlPtcyU/kLCykT9LkdlGkCIHt0aFAx3k1vWiC810U5TivVhNS51LZfEN6wQvVwiGB5uPlpAbbmCfK8dsNtmlE3ab7sBuRf3mYR3gC3w0v7rz8fA2T9GhDqKCpiVpQiDocCuR3xKJXZo760Vo4TRpA5KkfbiyeGg3bCKf4+VbxAPbaWfCiVsk/VqcutdkXatOnlAvvPuf0MXqneXw6pUQniXRlpBs3RPtlDF4M4PzV/2RYDo7bjdcuHpPRX5cTpXIzkM+J+R5aaQSr+w6Mugkn7cDXBCw/sFU4zmIqeUH/w++o0v+86ksv26+a0FCHARtlqWOn3t8GvymCuJ5H1C5g5sXgHeAwczyLMHXLsVyUFlE8TG4ObjCyY+X+VytWEP/R46gOPwVzIoc1P60jddejSDz8ImeHMv+PCx4IpXTMYWCbj5MphuJkU8xjrWFL8J9jJPqD8ndmAv5S8yr4hKdpc7r8NfFo27ko+z6iQmC9GZSdxxVLNCE2R7VX1dCxIwltXwu8+VbCmjpg+hrW5l0UIw6S0ybcqoepozMY+qnGl8RrxT9kol8RJ5NKyP/jyaednOiW/80XP4GffefL+P4//Vecs3Udvvhv/4Rss6Af53RXX7YdP/76Hy/Q//yPv7Ukq0KxjN/6vS+jXKku0b8dQtAC3o4rvco1vnnfz/Cpj1yHW95/GZqSx3qUdau7ZcrJGep1pe/0cmrVLOaMMGYyZACdYtEk2NG6BZvsGeh2EfNGAkdaLNR0G+f2BPfJZwfu3Re84Jyt172aGTSenNUq0o/pCXgeebUYNOEjqc3jk7kpDDb7cOAi5WRRnHXkzxJLo9MQlF1qTZvcxWIlLEoIuJ4Oy/YQoYHdo4EH9KnkAyA03nIxSUu/3totUhGeaZQhMwWeVEa5HNRnzVc0JH1dxuGdXxtUJ9Xko06RaC5FRhAwTddsvoITyagLDndm/yHn4edVT3Zyn44HE0eOsLUljvw2mzpngIGNCBk9PbFgcB6r1MD/oCNfXA9BkY3GpKHrnKCJH3k0eCEpaMWv09itwz895UkwRxKF4Fmw/91Iages03M+qh3ngncXzZ/1aWTP/y3MnfN5FNbfSvrzUE+tha8H9chHyJT6riKZrMK36KbVghMfW6PV8ie9Ck/E1H28np28J838TOCZGngX1kCl+5KFUlcaO94XFK/Bo8CYyOjTK6bi9wFvmyUAABAASURBVLP5ua8gMvrUiuFvhpLf79D0HpmVQ2CO9DQca3o3jCPfIQO+KMF2u+taRJ2NMrS1Mk8gjSCQqE4ARJ/UvdmO00aTfwL2QYviWitdd91lEEYaNNjCadJQq9QJHARmZgcx8HwZNdOHIPzOO6TBbx2BHgFioksWi/VGSWBOq4HPb++jMZ8DDlF85sqYZ/9iMhtAOOtCyyb9rHsziK/Bx2swCGA3JrMny5cnnD4N3elaBKFmiklgMbkAATQVI7ArjMZwa4aC8VeGv0HHMoF0SzAu5bK1N5jb0uQLx8qUTz1fBr3ZxmFAfPnudpV7iHAr9l8daQHHYxCc07COyW8AD3xcXzNV1e8Q6HJVWEA/sgc/7jkHIKPtyvY0uHz/clOv5HO2LYH2vzs0KsH288ZbwWB7ar0PBrE7yB796KG1iNeOAfSvB3TX3WBsNpzGrg288Y9RAr2zlE8bkNnqkwfghQn28GYMh+w99luDk2AQkne5T5oVGMUw4LZzEPRqDb7Wh2pXN7jNerR4yAFNZh5li95ZElyfZvIQqCKMupuB2gHO72GkcXRSeY0LPr/apSbFep3eT0oqvyZi6G4P5iGjXivscBnl6LSc2M2Gu5EMVxBNxsEfCwTAA9i4OVgEOnwE8h9t/uRnmgTg+UgSPrM9HmRHMU/t66GOvB+A323iIvTrN2GV/iFJMRHMi1y/tJBZczqoz58/ooHMealfvEAbov5UKtmhd5V/rVH7xG9D70jBdxw4tDABQn95UaM2PoxDc1XYBLSmdRvtjg22ETk/Mxv8MteNtnJOqHk5yb32SyXncUNr2HV6A+hWz0hGIMfpvBxHN25CzRAwShPgYwwZGKGgN/x9ue7jLwou/lPOxb1lHxWqFr0+L/NdXg6pbDh8b+zl++dxif0nIjeThBuLLgRXVjg3eCHwBB7ePd/beyyQ2zvvhv/TlivA9KUL27HNasbmoxvAnyXHTpy3EfxrEHNwBJ8+QDdIEXjnLQN25JW7Zf8q/wr+69wL+Pv8Hjx08FGo3e3u9suhtXcHi300x+HFPXpVUCHw2c0FzxatHZzNAnnNcWiOD6sSQt0P6lIG1ipg0BTUntCxBq5fJbWPBI1VOi3KupkEyaf+DWnUFi0dxZb6QiI+pocXnlgRRptceHIJks56wTyVAXkOY4BenuMejyAWErCozapzmjlcUbQBlPPudn7/lX4lbtO8lfXmvFgA1CM071R5MGDP/YdBfUdqh0lAvo4TfYyikEHOojFWK2Sh+5RG01Cme5IRyLGdEgGgSfIBxiz3ZdL7S+V4LV3waAF2dMeEvK++8BgMwyfbKfh1ESvTQdeKCa+LRYl/qM0N5rwmdafi8D8KZZC9RYvId+tv2q7BN9rfjz9IXyiT318alPzVHPXPRpX99mrxTyX8I/E1cqGN7aqv5ffLRYGYMHFl5Fg9cD6zc0H7UWMZ614PXRCmwZcS8j3o1E+7lK1eDRMOQO+crsHS0hR6/Lcugvc+pgVjD/erfHpBVAh8/Kl7YY6OY9KOwhf2ksROZxpW0kdLcQDFcbEQFt4zIP1JsVbysfUFTK0qwpycBYPrUtlwWE7++FnMpobA/yskMWMiMa5DL5bBi1J2WxrVrcHCRSPJAuMNRd+NboRL79h6Yxb2RBpsaxhxLNgeG4Jbwt5kBm64GShYKPVfjVFe+J+ewxW0IrRu/yBu/8VLuOnBp9D6Dw9h7U8Etn2vGemRLtSbuzHsbsHu5vdjLN4OaEAsVkFzOYxokwN0jsIpArkDwGL8Y6GQZzyyBv71P/8oXtl/FD9/coeUV3IYlO9sy2Btfxfec9HZiEbINlwUMUGLvP097VDU0ZpZCHVcF//mP/8lzjt7A66/+qIF/dvloWbxdl3q5NdxXQ+WZchIi525XF6KXMnSc5o5Fc/Bdzo2oo/f3tdQtjoB7lucGTJiqsjRrMFsDozX1foo+NxAzor/UQ+fo8h+Nmi87uDnR1rjn91o9QpsepcroTgEzYCFVUcXDKyhCdKelgTqBACk6nk8+wsXcX8aJdNAP03eEvvuRXNtlLL1MRzLIERGaaRWR8nL0wBYpUX3IVoIAIzVx4Adiiy/Pg+SiTSiU1Xq6OqoYBo8qTQ0n/sYAiA0ZGxLxh2lySuvfLKwk4xgo9djLzyyD52zHKiJllSSw4by/8p74HNM05rA/7dJw1ypjCzNHniyui4RBRtIpcaupCgZTmmaPEXCIfiUfjZcQ6nWT5Miur5Wg16eRuc5OsIpmnjlfMwNBtenqMd91S4prTYPhMIyXFSrkr8bHZ68CLcKr6mHaJFV37gZL5REPb0WDK4XNtwqQfjs+V8kAP7NPUKmcbkljK9da9kidZFXOcs9RGAc38eZ3e2yus44Z2pA/iyx0nkRimtvkD/xf71VwgCD2i3P/cXifFiOH3lQqqIEyL9VoPuJfr1izeyCcfROMq5rmOnsh979UWS0rQRgCRjUr62e3ynLRkMnnHRc+t9sxzdN+H4ZPLhoZQ96dh7CDGaADs2FHZrQ8zU1AczrezBw0IddAhI0iUTzNDQyZyyR5ihQk8MjoXnw+e2rzITUDxOIwZ5und2lxDvmzLwA3yNP6nnSr5foYkujvWHJmA/yrLWfeHxcfJFBu8BrEEjVw9DJxhBkh3C4Z0VQdoI8vFqIVYjHNcnfLCfVHIzNc7O1NytLmc/6ZFTywzSBk55lDoPrD47NgEHu/71vGP9ux0H8j8aE8YLmJoRporosiRT1kC95pEgTaLK9WLjzyAQzSS6BX+xZ2CVKAgNgBwj8PJDskCD9Ve3BhCETMsE73a+kySXvaqeoeG+yBedPtbAXLef50qZqO9dD3DZw8+F+tFHDYYB+8c56GflUHK+6EEt3phb8b8SjNdrarotdCYSqvHQr8FX8oL0Yo1NkUyekckdyWnKt1kTvooBWE3Cty1HPBG3NJVsG9EmaeeTDXXDJFoZXI0DSQ1mLw6xYaJ0JXrDYEUMuitlJelcbwJcbD/LRq8F7QFnJb0970CZmEZGyD4cA8GaauIfRnKrA06k8FKIhKHxrW9Amh0aE/EebvNucbXk+koQXiyjqa/oyyOihTksGbYhorQtp+Xomgn6oQvY3Gp/LLvNpkg/qIwHeWd9Qo9JYoGUgXOkU10I6QhtaoF+8HfZFH4B7wZXgz+DOMRxKj5Ip7OO6WnBfvClFuDUweO3r4YWxp44AcLfCa6HsuujoU/Sc8hDUV7vUlpV9/f9n7z0A7LrOOvHfue31Or1oRhr1ZkuWu+PuFCcEEqcQIAE2lED+lIVdygLLhqVt2IWEsMAmIZTEhBRSCIlLYseOe5FcZDVLGpXR9Prm9Xfr//vOfXfmzWhmJNmyIge9d0//zrn3nnvK9/3Od89F/RdCGszTHV/XjnJYQK3NInnoy3KLQ0HnwCv8scLOP9e3ouQiWHHnz6ZKYA1Hvg6OW87wNfI1cTrPf+yuZJz6th8W9U+rI7sS6VmnRQloa6GVWja8j3UsBrTUkkiONYNBQ95uggtzVvWgmrIBq4ae509gay0CBux2V8fBWu2sLftvxeMYckoImy72DjzP2WBffQfA4DiFgsU+pf8AhfxDmRyRHo+AJ+mpW24kRDImoFZdcJusR0M55ud1mzogGGAnidAMV5Ae1iWJ1UHglfSdnRVBiyQsNXvS5br1qPOUvSEZzoit6FRvkf6ctx8WStJv1fdx10dmYLXoUIRLvdaGxdtKSQrf4vkzNKbIOZXBcj92edsNewjmRc4XaQDbi+ttVHodzF5hotrl0v0DsWMq4oc16V9cqlbyxzZ+s0am5WekI6ADioJC0u9nHFmsTcCrv70tTHrOHPkDZryWDpB4j3h5GG2t1M71aXmHHuEL0kMWa7mTg2Gnkx2IiWFYKVf6mR8SZ1k1Qb/ZEsqA+1ZUUJ1TKbwtTLPi952AhqKXPQYYNaXUALQm76s++Fp+L3ulLOeR6rB0b4p0guNloG7x21PsNfzphr2vyNxKZV8dasOPxNdQO63Cch3ic1U4cQdQuTVGlyy36Pp90PD8uYfHVibsPrYXLS/vRrRWhUk4T9EzOXrOVLauhkILKSkxNQc6C8J09FH/eWsbr0Ga+jU0BYPbCpjuKCJK/BXqP6ZNPPgcprOjGO8rU/9OI7nxnXKbqpn33ILpH78d+bdeU6c+3bFK4+D92zVD0ALmOBwC3JkqtZpt36RSQFQDisS0H050wSaT/uJubPna9/CTjzyLtz/2PGJPH8COkQm0zebBU4yZCSPfrWH6hh4MveEWHI9ehlosgdCVHbLQWq2CeC5CiJwNvXdMxo0/r8AlfiWYZ2Tk98myj+zHBTf9h1a825amND78Uz+Cj3/6X8GY8FLEjz39Ej7/tQfxt5/9N/zRxz+L3/mVn4CmqnOkvB357/zpp/G//+YL2LOXVjjmUoA/++svUBu18bu/+v6G2Avn9WeAC3e+Zc901Y5N+OK/PYTRiek5mnKlhr/41JeRTSfQ3rBKMUdwEXgeTbagP5JCr57Eufyc+iuWmyv+IPZ8/eOf5ckpsOYDM+pc3sOPChRL7AMWbCvDk3WtgpKaQYQGOEEkXsyj8VJgG62Oj6QEbMVFqzmGttwpuKrAcEsKmzQLenEIobANbqI1NUrMiQLWcKdhF6XJZ+DRABxRVxEPEKZSlzhoooxO0kxnVlFzc4g0+zRRj8AB1UO+JtBqhVCl1aQuja8MNGEC+iYPk5aHId1GaqvnZ6rb91RcfLrogsH2y3SBX00qYI2v4BVvFmrrpLBIUAqYJQbdVzk0UlLiVM2CiLfCY4RC1BAwzX03850CK2m527EWKgFQaIGCKkf6UfAZIj/w+rIDgMxuWn/WF+6pobOmfbWEtfqrzvr00RWLYkCOCartV7BzyVyqgfNZA6/bssqrbkCtadOrvn4r67+ZFZrcP1eWUsuT4Hi/DNt1LUYG3RdoSMrUV28t9faKMbEf2rEvEM7tYKZzPYxVP0nCR5c8WbHooT2/H0lBHDLNN04McOMRmXa+LTcRhqsDglaItVkLarECocTgKQJmluY61wL/4q1RKH3HMaMWUcsJZDQFonWcaD26bl9Q1GcVJsWzCR88DBbohx0ZjW5N+J4GmwV8DrJGl01zHvsjQ/5cxv7zZUJjfpkBgHmmckuuDTqQNaMI09wv8j7gxlqRVeIdOH8YNXYA4ZeN8/Rr64ywMib08TIYXDtPxUrAvItAJS7v8GyJnTnD+6Dz1i33DU9hX64IBuUZ8GYlAM5zcx1In8vQ4In6shcJmgJv7mxGRtfBAPgzk7OSKlBgUIjXCMArZfA4WLudW8RNVPZiMP+dPa34sdXt+LHeNuwapQdAJbF2uxEnDx3pDQC/Kp2wdLw9300xAGvWn6uWu2qNy7xsqcRHsvtqTGlYYDMZZjMe01z86SwBgSSgc5l6/drtaBKOakMpV3DZtM8jHk3m4TBr4rZRH6R+J3pgprsXqO1+AAAQAElEQVQkH8h5PdXnUxPhGipGGq7H+Tx4wsFUKIGEQf1wQEXigIbQmAJmD4sbiX/lzGSsFNNjblGMouTRkg1TW1MxqbXC5b9nIae0UpqC9jq4TgHoIsoO9NgsOihZqyiAp0jFGeblZeI5Wi5MAvd97fYMgxGL8oeFD3ow/x0kES4J1qRnkJa3Ydi9h66DEk0a47mO9MIgeGynqLkjGPetDdfAvuntqGx5o0wbm9QxGpkAK3FfU/P7splZB6POr9lRv91ZKFHNmCRLxKDQwkO5/sYVg/ta2R/rPM2QZS62eP9dMxzCwJp2sPIHpzO/l3nh7xEe9QFijjujkc/bp7qbZIgyhbcWjuK3Si+gm2SjKU/F/0pdj88nLluwyOPnWGjzIjTHnM22MpXLaYFhbScKt792SiqXb3f5ctB60p//HqkOyTBbZl8bTL0CUS3jw4/5Y/DdhcP4JM2PJ50CjFINf/60h7vvq2LdlMCJiA6nvsDH+d1Nu9iZA805IPLT7MBtrg9cMkTNOaxDocVh1RQEqfvPlZMCgN5duxVK1aO2YMMKVZGZaeJkOJmEdM/WUkVMkpa6ddiZJErXbkHFnaDekJPtixeedMSQUmiQA8uVD5MNWB3+wrYxMEqAnAGFrjcdjsAe9O9HEpEVO6qRDVQ6HTCYLgNnsHi7HSaJDKtgeZP9DLbX2v1nw+NJqc8Gx7Gfx5jYMf88TBsYjXgD9vPe8OwGC9WKZ3CQ6tXvZxwo1SZg198O4IV+jvtBM05TJ0pFgWzpGHasngIIz3AXbWXU0ebf9YzjP18Q7sF1vNyY7VOfbp+08zIy+GioDNStLQTCs7exb3F4KXPA9NtTr3pu7XqpshrjeBGAv/MQxDV+LJXjiiW2AR7beZz3Q6/MDgkNv5q+HNuNJgLcayC4BtBoXtVdqGpC9rPFJbvUAx0a63mM5z7I6XtNgHm/Hz7wPfCvqVqCcDzMOIKDc8bJJqktJxELlZEtD4FB59DRYTCQbtFiJS+oZZWtSIutcJJRnNoyCXf0BFirHfTT9+7Dqa6jGNo8C4v6RCp0GfVvmueJ72fe3wtR/xELz0nZ5KHnB/EdowueomOrMYqwsGEONMm0+CpPuoHVE/V9wxpN4r4XozSGnCTsseC1Y6DSh4c27MSnb78eD//EmzH2w5tw6jYD0+tdTDzvnz9DuFZ5bTNmwkDFs2FQ+45NC+gpqqxm6tNFgLXca81b6mf4/jheuYjql/7+gpvaN/7ljDf8/ne/CSPj07jv4WeWpD02MILdL76Mg0dOIhGP4h++cK/cdpyJt25YjXfeeSNWr2rHqZFx/OSv/Anur5fzL19/EN978gV87A9+CbquMfkFN8oFP+MyJ/ylD74Tlm3j9vf8Oh5/dh/+7z98DTff9at4+IkX8D9/84M0EFw0l7rgDj7b2ifDLXWmXwbOwvLUELzMKvC2MsKuopT1BXObGglnZ0adX0U1qZ+ytgoPuG73Gk4Ca0MFjM6UxoyRSYOkhxANmkxwYyWPAx0GXMVFwplC2h7haIjeZhgz/dIfNixikj3U9DSqBFyE6UQ1r4TymL+9QLzL1yKQxIsst2stQnkPqFZQxTii7eQnmjANtgoNfLPElKUJBB+iBZOY5yKjCJQ9D+NRD94bTCRvdxBoNFE2/C8SvHjPdvbfGRH4uYQCBts5vHtqlh1sX6TFWOl1UK1rFbx3qh0pOh9rwodISMqXOyCI9YtMPCnzZnr9tpM74aKa869VJjRYTtQfZLXSBALtDpGfaaB4/XhZQ4iFKxaynLatF+WFW8lu2ATmqWYeywF5PFlyOt9HIJBdlDdz6aIu1cDrtAYqbT5YYMwcm7uD+LH7wf2OtTB4C6pyXUMyNvCIfGtojvBVerjfC6cKPg+PB1wcLxSGj38FHhwJtqvd74NOAjbqv0JJoGf2eYSMFKCocFLhesr5dxxi6D0Sg2kFF1rBgTY6Q/MKceU0n9WiOQL2AGEZSOq9iDST8H3T0yirLhTDxMbRbUgT2KnXr12rC9tHjBz4xx9MHXSAMs2LWSqPpj2OXmD0nD9vscAfLDCzMK9UxQK6VxPgc6g1AlQ0zAGYK5XHWxawJiVcgYwZpnsFgnnSC0WwWMM9dr413DM6+BfNmZim+mP/+TJdsZAsaqBUlW5g3Ts0CQbYGVz/4NouqWX+pzvX44/J/Netq5EN+dcU0De6kbria2XSj31Lly/s3Tc0hQAAd665XSYqx/xFr/7JSRxOtCGsqbiZBFKZuMi6ujmFHZE0ckf8tsDa7Y0kbdd6MqgMGNgZor5CoXPVchfefD3ozjzIRkW9omP6AHDDkIKfqylYR7wqK1ewkoV8q1Hzi3RqHhzFkoH1k7Z0T6h51NocuNoOCl8NO/Q2VLvnH74bSlI8CPCbhUhlaORwuctS/xQk+BpItvvlGFN+f1oMtgUAmFbvo7IwsrJpIKwbGAutRs2qwoWNgpuFEECm3g6JjPjoGDtwCNzd1SoQswVu7wCYh5cJr8BaTrs9KCoAJk344wnqvzhdCoPuhoG5b0GxrGFmfDmFNc/rpNIJFjzN9FoZdqku85nLsdeJYzw2iZShYUdpRqaZmbVgvpIDDL6zW3XH2UFYUGWRj/MHYAKP5RSFYOsZ9jeahLIGqpJCMQoUOrbIbQ55LuA5ITbwMFL77oZS84GyxnyNfn6LNbv7rxAZegoPVT3wFgeJ8iR+bfwBXD7yCD564h/xrsnHEaMVwm+HeuQiT2P+xX47sUpGcbnSs4JlUx8s3nQ5PAZ8VqA7+6TTKXt6IEG2VbNtNPeG8EhlGBNORRI6fVtQixTgUh2trWl426EqeNsMEsOwcbiKP3rawi25EMKOi1XlKD63pWcuLxfgdlOboDFbmRwGAllnYpST4NbfppYBspyYCmG7MMoh2CQnUpQ8RF073iOA3rVNmrddAjMyMKb9scOuvwUgic/CCiFNsqyBWpTm/3dcBSebQB6Hwb+kmFceyogtst85KGHa3Q+7rrCmThfA/dlrakU2FkGfEUWERF6d5lJp6m+MBXuza49+E/o//tlpRrvv8xCOzaeV86ITAgirA/8YWA/Adg4HhuNyOy0wLc/T4UWL46pENgE7TrwCZWKwUpDc6ukh8F73JeQQ/EwrR4v6YRnU6J6k5wfM4m1iXJqmOqLT6FB9jIIX7RtvM9g+ZcTtJGA4DF6YRq0CVkJgumBMZ/9Khrdb4nTmu9htNHfF/LEvoGlMa/Qz73PSLiAmdPQa8cak8+Ln7zz8SKwPrN2+OZRZUCYvTHAEj+vsni+jlnPwiJerRYkHhEBIpwlkicIX79/O3x4aKhQQo7FjQ24EbnMnmhlwpzFi2lFPK6G6pZcWpD1krDHYBDq7e8YkTYV4KOkhS4Lu+nY4kRCOXTEK7eAhVEZfwGBiD/JtNJ7QGNOiXwOmI/KzOmrVHL4TXgtPj2C9PgqnGIE7nZH4U2zR9wPXJIUsc1/Lakz99Fsw9Z/uxMffdCP+dsNVOKzvwsnQZuQLbRhQEximRYWwSEv6mZlhlHJl8CYXTds8NJNscoIeX01xoBAGFp+gyZgoQ5sGyYZccKi1bJX4h4z4PlhC1aCt33rBjdq34Yx3m0rE8KEPvB2f+LuvgDHhxRl+8j1vwl985MP4xB/+itzHvbUlgy8QmM50vCX5L3/wLvz8+yk/pXP4a/c+ykn4xy/eh97uNnzyc9/An/31v2D/y8fxxO79+PQ/f1OmXwhLuRAnOZtzZFIJfOtzH8Vv/n8/hrfdfi36ejvxnh+6GV//hz/Crdf7oMDZlPP9oOnVEojSIHzO5463YaM5CcWpgfdxH07pKHoWQs8fRujIIG5rPoUNtSFiXvJ4aa+AR4Oam8iAJ51AOIMXgSIsAs41dIiivITLqmWU2kIo6Qoi7iySziSEEFB709DK4+CfEnIgeLLL2RiK+pNHaGoIlbhFtGEY4XYcqwD/NO7iswUXd5dcsBY6m2+2bYDjKgiN++dz4n6ZhgMomkCZAPcWV+fTYLBcxar6+Dtou0iuAcI0GMlEsuTATRxiRhH4rZSCt0bmmyTvdcqCbtbQwdvJEPmCg7UKmLlpQwirzQh4C5sogf+zxT64tAyuWJPQ84MIpwU6dvgXcewRusgFpfgBTyWOirys4e4ZYfIBwqzi9fgLjz4nL7vWsgWe5t+XjLjIrGod7GNhaalLCwS2SvuOpZIvxV2qgUs18CprwA0lJeDNIAcD4LGB74FBFcdIotj3Zll6pes6MOjONInD3zgjCCIznYUVmiQEjugaARp98LuwUAZvIyO63wUdMTT+krlj6KtMQ+EVW5oq7IzRmHxe/U42BU+hSdKxoJRtaPKVcA0eAWs2zVd8Mj2sI6GslsK/2jEG98YRKGkTiUoGq/ftQvoZAyx48x6vRQISD8VmwAJbixrBUYvKpkLW+1Ml+eYPFu71OjjAArob9uaETH1WzBO+Sp8xrcgSgtfmZWAFi7XbOTlVibADljtFYUb6PeJNKjTHcyDumuCr1FcAo5nuXE2mOQQjpMKtaBifKZxr9hXp18ZJ6iSKw7kS2f7BPMgj4zOIqgo+uK5LLvwzLxKmsE+xsq2E/Gdcm/bpGCgPtNyfrSsTuF1rZaJ6cA+Qn8E9RqsM39yelZr3MrCEFXyArFG7PSDj59K80z/3xudb5PWzljtvjRPQnMlVndk5EsX0BeS5iHP0OCZQru/feuVGgN9gvCuqEN8swCDpP260MUtduSaysIwKgVsWkqN52VcYRDzSNAsnHIVj3AxPj8OqbyvAlxHwboL46EgqiqpqEPAniAf0MBlKIdKlgEEypmV+MQDbOMzGSrvsUP8WdF7pnbO62nxecEJtguPZmFHbAE9Buokutk6lIwr+WchhXVnFB7cKXGYoYNANr+DnwlxRu52LZGCSXZdo2bA/MPEYcMuN/rPnb0G9eNih8fs6mcxjrkIALQd04o0FLXh6ahhWspujpNlr3owT6VmE1Rpuo3sNaHiuCBZmGXxnYlP4bSQsWjkoTa15q3S1uoa7XVdmkZGLrIhKKxMUN62dAJef3/we5De9h55zEpw/ssKWg3wfPB8Jz0Fh5iTu402FaQHz1yYfRJTH6GgL+NrfPfkY/uTU59Fi5cGLPCu9GcP1wPWh0bVz+XRp39eDRB+0t3kwhIJVx9bIawk+jsrjhqfa1AJ8sPJn+hXcZKXxlsMl/MruMtZWDbTSRKIS4N5hRvBcXy94qxlZSN2a/zYYodK1CpRCfaBKNghpROtSe1ZIxlUcHZbpj/egsUrShyJg8N61a0QJxPMRkp0sMIjM2qsysm7tM6fwqVkCyD2/z9WjFzgG0uCf6c3SIpeJijfBQaSVecBdgYGs8LVE894RlDtC4HNp03k4WglmmwolqiMWCSP8YhnJlzRpQD9ecCPxEOoLj5N5TN4z30ejUY/shTj8AlH7By/wcY/icYSBdT/2dJvn6UqvLROiA3QNXhqbwgAAEABJREFU9cVx3sqGHgV4/OFzMwEvVCuuCigKbMOES3yGsAyImVYau4BSiAZNIlSKFbJ/8I6nT3TJm2pyhiEmhqXfS2alG1jc/tvqQ8u06islKhMjsIIxmxZSAtrlXF6gYiWBgO9aTMe8GGM4TLOnNr44eS58sN7ue7QEotQX5hLOo+e98XX4UHLbaSUWitz6gGzGd08jeIURnkNti8Z4O+rRnKlAU2jywOm/YJyPKf4ze6lYhTo9jtuGqS9ffQdcWvxrrpUhXBdT9bccG0uxOppksFkbBWu568RTefRwrUVbcTGYHk9dDlt3MJB9FlPmkzAjFsLN29Eeuo147TWynLO1jhFvWlI09BgWerQZ2CdboNCf3wBcXEZrBBAq6JxAdUYQICswNSqQLAvEKa2JHksL+U1aAz54DAhZXYh7q1Etlen+94O38iPWAz16Cs926yAWlZieMtLDBmggQ2jdGLQ45IJD7jAwu/Un8H37hcIIv/eDF978yNnd84+/83ZM5wr40jceWrGKNFVFX08Hjp8aXZKuvSWLUrkm0z74vjtx5eUbkU7FpVGJhw/TYnmyzvdLotfYUl7j8s+p+EjYwE+95834s//+C/jb//VrEnxfv2aeETynwi4gca+eeEVn8zKrsJlAYcWuIkezsNNen1meO4T4Yy9J8yb7Rbxx7HF0H3hJnsNjrQTyqfW988qIwxUuChENLW4FzCxSMm4xp3G0JQxHd2CFPBxpiuFyEogDhjlME7xKQ2yIGKhT4SSEB6RowPSIYY2lttKQZOBfCzV8upjDPxCw/vnJEu7OV/GvZQv/bmTx7Z7LEJ+ghmzbENkceKCJCdC1AIWailbLRxEYBN9O4w1f00s+/8DeOXMPM8kUui0s0K1SAeQPjkAgvbo5GUSd5jJzEyLwY6MZw2TVgp7wMDOzAWUzDU+dRfDKbN9Nqsw7cciBTXOMDDRYdqxFhtRaAV6d2RT11ytlwuvIWqy1dLFeeo1WeRnYY21anYS/xuvksF4YpGcYxqXtZBpr5pL/Ug2c3xqoNW+RBbIGe7BYVyKw3Q3Nj7sMunM/5L6aPPjlVw26N/ZvHgd4cS089ARsUcJodzfs7jtoGdUXvOXFkWVaQMfxBxDRCQwgzthVTBKyNUp5bQ7PoLIV0CxZlidQNB8c8mgR26xrqZFkIBcFEmK1pJlo2YfjNz6N8Z5jYFlarQGxY/7c0x/LSxoW2NgzSAvN7K6n07DbaELBNi9NLog1kEnVTle6kZNLZJAp526FxugGKdtS28lUCXs5/m8qikOCKPxjwC7AtQXay3Gw8CBja/6EyvMmbyPHcZatswPDd6T/fFnpbEgWNVLHfWTgPFjd0bAs5Ujef968lUyw3/pNbRmspMkuMy5hhbN+JAPObDjEHz9ll7eokQA48RsssHLcsYP7cCSUIrBTwc3LaLcznVkEltNu53Q2rVd48hkliBfbNOgLvH93ZIiTzmiUOtjuKX6daM7yQMQZCyMCvlbHBKLtkLwiReFW4vk+klbAWwiaOvB4lwsTKTgaEZLgro9Nodfzzz+ml2HXQZYAMOMy2Dj1cUoh3i1kKJgJtYD5WOEJEnrDiMcEGCTLXWEhf7k11584b2CsFDHAFNCKfn8grzw623QIWk471Hw1JtKdGEpsQktyFmp4fmzSRRz802YBYdN4Ue+ekVfYT6fsw3CpJsJoRURpwXI/Tuc006MTs6fBtLd7uGqXh91th/Gfy9/F4xULrD3OJPwROXaDsX6xQsPAsI6XW/OIKiXcOD3ApDAzfXLMF3WA3q3XebCljQ5/0QH0Y9A6OBcF4bFwwJ4lTFPJv7+SewoWSpKC8/P8wwEtf4qd04ygxZXEkW/IN7E48a9DG+XbQnfOPIdN5pi819lt75fgvavH0WzlsC1/GGppAkcsfxzlfEsZvleOj518mJ3vu7n8Mr9tdg13SS33OU3cZAZucyesUBk1WoDSqKXedU8/3niohKwSQXbXZSipJ2CIGhKejnVTFhhUvK/sP1PQz+nz53714HMIFk7dRJZSFh6eCihCg27FYTpTMlEZOiZdt2sNlKpHbbYGK1RFZjwi4+12mqelb976fOEwvlcdwovm5HzkIl9I8ftW2RtH45seCowFlAllDXje5b6Scwn4yyRlujZVQGGLhX4a8vpHR5Ef208Att+2eC7lBTcxOQLtmQckvXX7u1H7qd+aM/aNb5fxgYzNgWqng+kbTTmOcHglU2tzwYbHAt7Gimm1omBnbgyTgVoFiksVq+soJGy6RlB7TiMeq99/iJgHIuRFBHJ+oI6jtL6Tq4ZRS3bAMDwodTzDI4xi8Y021ZvjjEcPlBL52TkxTy5eMH+llgTFLn8cJCyEU3m/dnaXMqxdzvG7zwJwX60nmPScjMuq/OeUYyFxsX6PvKXMwpRXGarMQDNV6rsaIAQ0TcdSv6I7JKMNL41quYRnhobhEbC+tqMLzjV3gHm/bLVA85+DGe/05+HGI6it64JGQ0NH8ajEYMobe2WZi60mYxdioXXEWjvQbBWp7BvQHLkeOmI41993iZ/gPH0Rf450BvwFA1bM5PhG06UKyZuM0DDz8mcVPHfEA/82U3dc/TYXbde4uPpWaqtUT4MW0P81BdZz2+CWY+AtJdV1x5lcmlBnG2bCQAUOEhM6hGXBRA6ZncS4AVLLneubvJeOJWogSgulv/bz75G7nSxOZiCet5zhrWX+/dtP4J+/+gBuvOYySfaxT30Z/SeGYNkO+OOrnMYfVuXEH/2R26TmO2u/s9m0rhdXbF8Pjuf0C2GUC3GSsznHiwf68X/+3xeRm/Ub5Le/txsf+OU/wS/+9scwMPTqtGvO5vyvhqZXS76i7F66R+bbXN/H/YF1bXhsTRRf7bKxpyciByhvbSsxOoBOqz3FEuD2bZV5UKtIV4UGHt8qEQsRYoishD+gvN1RcKDdgKN4km68O4qu0jgEMcwyQhOIeDZaqjUMrNoCBUJGc1mxlK9R/FClDFt1qPEOolA5gVMz/TgyfQJ7K9N4umUVwpM2RLWMKjFGIZoU4zRgwRKYrShIkpDCBfJr092awl6ccqQzZx2xPLB2U5QGsGtC/vmDRBZ29834beGqplQQfZprxz1oioJW08BItQoWcGvuelSrBLgrVQLc90Kp5aWWe3q1AlrbwMRh57RyPDVEgkFY1o+IRv30WtV3X0c2A1n8jFngsZLdF/2VW9l18hqjAw8jfux+JAnMY5M48u8yvtK+g55LSPovWZdq4FINnP8aMKkP8kItjxtceqnnlgUajxzHptRzswQyGHSPvUowggF2LpPBDdZS5HAN0xjsXQW74w1IifWcvMCoU8M0hw0iGm4FVJr3vAocYuQXEJ3HgF1/Hd4T/nwhFJrnFQEn5sK2TXkmQ/PnioSymma8GKoYR1kdxsSqY8hfL1DcYFNd+nPwkZTP9AcC2xFLFoF1uuJ7Gmxj0o+zCEgJoq20C4eGQhYyjfr2GEHaK3H1nAJhQ5bJZTeWwYDuyW8pqEx6GH6M7pkwUE4/aM7ApYWCJisC1qLmODExwg5AwnLFccF3G3f9m9PDup92Hu22zogszR6rSPd8WZ3REFj7vEzM+qliFfcOTYL3W++KhMD7r7/S8zBPwnlrU4IdMHB/dV2J4H8fOIHfff4Ifr91Fz65/lZ8vhaWNDdnolhJi34l7XZZQN3qeaMrhchtk1nEq4a8n2D/+DrJko5q+4tDjpICG+FWodrjS9KeTWThhH/vidXeAvIIRd8VU0AMKPa3uASW07NVXNiq/2y35zVJf8IqyL7EGqaVHr8/ygSy3Dr4q5qzyGYUFI0EGHD3iKedCjUhXpfTHQJp3JBHOU4/HOIjOXYxeJPNgPp1BEPpTTh41ZupRAVdTWNwDBqDOAMZIfw2nhj3ASFeEAj6aeSkShRnfzieiRnnsMyQEVulu5yl1s9bQw5L/TZv8lBa62t+fWLoIKYiPrgaGXoKggBrvTAks/FCqvSQxYuaL5ZmUArX0KpVsaPoA6PMTwbbUfKYTaTyYBCBPWHRws6cCRZxOcKuf6+K/YuNpqYQJ3kBbgmWN38fzLvaobTUcmf+fXG+KN0Da6E7RhJ3p67EAMlgLZUJvGvmWUlapAVj9nA5ZnY9nHAaG60pasNlvGR6nLSsKXddR883CSPXj9DE/mXpLlQCt1/eXjSu6Gg+2SlBc/4wKp/frQPmk8Yk9hglmATwhBIJRH70TtTCs1AKM9BVC4qq4qZT/ph8b+kkxqwyZ4fbtVa6CoHn/O0IDnjda9hZYNww1Zkegk4rY8Ksgdsc52EiLsO1azTuu9D0JEJTNkfDXiS3saYxb8nBiTyPsLuUicBvSxZytIjit9Hl+kJa8ftIwTuBymp/4csY8Nu82iRQUAxM5k+gOPkPmLmGSrzSgudUoH3zs0CtAmfHG+BuuRKgxYvAOPU6VYbmATSc44+3gHNCkG/NRGgM0EqKLGHug6kU4gUOxVMBRYOp+XWmeylEQ82UChTFDDxDl36l6I+HMvADYPUf8+tDzRKaSfcjtzUi1+PnQG7j0dbqyeCU0ildrjf22MQPsavn/LLYv5QZsH0cYbORXSpZxgVpjVs2yYQGi+cgDi7eX53jVjI8pn7hSyqeeGrl61ypjFLJT43THOb7zpNdm4VKWJEZATxVhaCFucUlu3JUKdEUbSBCC27HHvsOKraFdbEo+q660Scn3q+7NE3ziocxJw4L9Qv2U6Vt9rRTU/cQNfyxZ3S2Q8YvZTXF3oC2oXZ04XYk4tuXIpmLo+6N0rCYCweew+UKXlbiCNO4uTOch0tjlzdNEzoRJFaTtejo1gBBxYxpHuyKwESSrrUN2NgNGP7QgmwLkOEFNeIjuEvOvhSH0r8VBtFOewdg1e+7OZTBCTpVRXWhlGvIDBrgX3iRljvHXTJL18C73nYTsunEaYn8MdQ73vvrePtP/jf54dT/8gvvxfvveqOke2rPAfzwT/8udtzxM/jRD/0B3nTzlfip975Zpl0MlnIxXARfw+f+9dt4cX8/0qk4JqZy+LX/8X9RLJXxcv8A/uQTdzPJRWt61dMbxVldrBaCHW3BFdURCEKCY/HVOLKrB5/fGcfvbjPx55cpGLttO3Sac9NmHkViZFiboLHsnN4iGZ0WUYQhFLC2IKd3lCbR3Dp/XWJDL7TCKU6SGsNezEHEtdFMg8HhZBZ6xZVptXAKISWL/pyHGdhIkfDzsZ4WfDiRwmVTKlKzsyB5FC+lWhDOU55qRb7yF+3woCmeHLA8T0GyFpLlsYZ7twowqL74dc5Au/3mMMCCl8xQt1jLjLeT4de3syG9Hnu6w0KURpNFxjOQqGpgoD6UCWFmdhOqNDnAmEKwb2Xn5X5zP/Y9B0v97PqHoFSn4CfXqr77OrIZuOLLNTPr2LnoTbCHtFaeAL/urBcG5ZYWghaGXD0u2+rFehPKqcPQdj94sV7epeu6VANnVY0iaiMAABAASURBVAO82BiAKAyUVNt3Lpuv1HuLTFOpv0rPK7D0fL2Pk9DPb1wxsFElgO3o5g0oNPcgI3xgaEHRtQrEvV8BwZAQIV5MJc5Y2GDNmQV05zEQCLseKiSN8NwWkqW7mgnHsaQ/AJR1xJAQqxH8DKSlgMKabqxVO329icNNOfCvR4vTnAlMu8TQE4ff5E9LnCQN3Rb0+nYyZhPNsTLWt/iNLvbxNjXsvhpjTPsnrrUtnA8ZbD9BYLtj+qXbRWBqn5ABKXTaAqsLWRgJT8ahPk+6JCzPa7iTgCFU1PECnM9fWzsxFFTgzBTzHuQ5j0ewj/tjozPgrWS46Hf0tLLzio1er6fK9HwRb+5oBgP5vFUN8znTQsOL2R5MhWKIkDB7S8x/NvM55n38OjJrjHNM8xX1Z8CBJUyYMIY173QRiyq4YqwJvJPD/cNTS1AujBKu31YdvRUuGU5V7Vl2ztlwOyqPAio1ifT606+X2/91ESHLfbI9Ll1HlKXLWrnsCQA61lSHT8rRc8ZTiYmkUEgxkTcS1F8FqsJAQYshkz39nES64AgWtvTZhYW3tXmIaGEUcnFMDGapTwukCejxRHgufwhpKLaOBC1qgH6sQVte6wNo0YZtJSjpjMeE9TJcAt3DaEVEIel+hRxh4bdLuy7kLyZlgLMaLSNEw9aoVcEfDkepTlLgBdN4//1gHouBdB7/g7z9/QIjsWnoxHPfXt8eitPM7DoYM0fZKxdd2cPgggsTKo19CgyOmjMsh/BWMp6iww0l5+IXe/jthBgNr9wwK5iYS95DoPh/anobXjDaaSz05ZYgMTz6PMKjz4Gf+Z5178J3omtl0i+Mf0duJcMLCI3nVEh2ckMprFf9ca6/WpP0y1kuXW+l/t2SyNBTUGr55UgvWPy6Pv9UXZMd0vOV4jHpel19mCRe+cXBF/DX1yVxeGs7su+6E0hEoR54TtKc3LpKujfmQuD9oVnL/e5pf1GHQWaXymAC5YXH2IHX3CndxZZLbUJxAaMahuOVEGiAOwRQVyvUwSmDF9Kg1vcct9ozFDN/MJgZhOQ8EgQWucH3CSreBLWuHPU5Y9m+oCM2N++OtY6Af1r91adIE+Clm2iubYNCCwrofxau7oH3bVdoIcKl+7Rv/CHOssDoRQfhajNQrUIZ9Ot5AcFZBHiBokSL7UzKY4CWE+wFx0sPWSI/A2Fr8BQFubRFMSAwMo2IkZL+UnUCdiYp/WqBO4n0LmO9umiPhsg9zwuMjfnXGZT2/AsCg4ML44K0V+oODhMoS2u3rK3deXW9YdcLc5v99l0PSicYv6dUv13yN+w4IeCNzqR8cKCu4b4STsPbymzWs1wsDtbpZaBu8f7tBy1/Aj/X/dsPHBRgzIS1+uvFnbMzPeM/g0Tcd8+5gGUyVOyKBNxZcZFgG+iIYvGvSv2Q4wykoX/zc3golAY0Hdu7uhD8vHAYMeJbBPG0VVpEcrxykDTnmr2tcAikNwicLhpNGJ9MgnnNOYIGD/P1+nXvhNPnj+0NSQu8JQLaBx9UcPJegZc/p2D8OTEHvj9f8vGbm2M6XAzDHklBECbU+JZdUBhfx6kvKVCJ764ZgE082/QGDwqB7+v0hXW+KiQQbQWKfdRpqADeViZmtMBBCfymDUVhVSiLPZ0eaqoDUTWRGg5xNAreSfDWMxwYf15h55Kp18B3v/wx3Hzd5fUQEDJ0PPr1vwLHB5Hs3//wPyIw99z9UXzwfW+Fqvp1+cVP/g889c2/wb3//FHsvu9T+OPf/lmEQ/RAgwIa3L/4yIfx6x96b0PMa+/1r/K1P88Zz3C4/xTuuGmXpHv4SX/vtE/+2X/FZ/78N/Ho0y+hQo1WJl6E1rkOwI23YCdXYZUzC8WpoYYwfi97JT6Q2ISY0PFIdRj/bfIpjLf4Hb42SEBwKIKAQap6EaiKkPKHEwYcmqitulazXhjExrZ2PNHdhO+sbcYV8RgxroPy1GZ6LWwC+kOaS8yMB93SYLTQMh6lPqLFMeU4eFapUAjYRIPLVZEW/FhXD/76hi349bb1gOuABcMxJQN9tkqDmQklOyPpw44HIQRKtodWK4T+YlmC4J2qTMYQxbOvUbv91vDpzTAQdrelfQGM8yxnnLgLQ1XQTuc7Va4i0gyMjd+Iai1NzEwZevGEzNpxuYpwmgQxXkw46cq4RisQPAQxjRzPTBm7rxcjqA3xc2dBpNay5XVx2Szc5De+E2UScIpr3iRfAc5veg9mLv8ZzOz8OQTP5KK7mVoFyac+g8zxr0KZ9vvVRXeNly7oUg2cZQ2UVt+KcveN4D64UhaH5g0eX1QCMV4pEBEdfAxqeQrCtSCcKmbjKl7evBpmNIVO9RaakxYxSCSY6l/9NMT4CKJKCmaYgChVJYymBM9YRLvSxb+CNDubhAfLz0lSqacIsJaa6/lxwp4/f0JZLcEnJo4oxJGzp25IBkGwFQBrU/H8x0nBvMj+wITGVOm1ox74FXgZqFtWypM+nYBBpb4/rIw4R4tB/dCYInPZ9TI5wIIHg+12EfJtsXU/6s+TkySMc5rcUoai+opZEKvAWaA07PvL4LFRAwTVWizuly+JzqOVaQpBUHmxnIVBmzzn8eAFfi7ugaEpdnBTawZBnIx4BRbJXjJXzS9S+lmJ4L9uXY0/3rkef0rmN7asxk9403j3yd34pUMPIJxpknSLLd7mZ+xpv17br/VgnJk9kjT8SvTlShoJkianqhbOpOWuEE8qz62EYemtvtcek+65WsFiDdcDg+5L5b+2Lue/1Nwukx3h85+dE77L7U4mLGM5oYRMaYkVkCeQ1nWJByWwVxEqiPWVaStZ3Kc5XZ9V2FlgmrIqFC+M/Jh/jvY2bn0LSJCe7iIeXoOZsmWfZTCIF9uYKkqgO7tnMi5MTFqHJVlGbJXuSlYIafCv5ubYOc3sqU3IuA1NYdBwiUejR/FA3n/12sj1yzReYJWeujVwSuBg9iRCIWBHdouMZVmB+TCtPCnDZtZX5qi64zIcFTQeS99CK7/lR8/Iw7kEbodpHBOOicb7eKzKY18I90XXSUWMoGQ9P4jYwMMyWOx7E15UUsQjGnhn/kVsJRCa5ybmJSVB3eJtItmbbFqDHjuPGi30Djocs7yptWyVCws8z7HCzm5aAPizvIspd/k8r1VKaHwfet3d4L2sW2pJJIdapZb7QXMGX057OBAWSJdKuENL4tYb7oBiGBIoVoYJLCZ5UX3DHZiJqjALeby31gqWLR8oDOErRb8NuPW3phUCofkePFo4ZXexcZIGzdcelCq11PxxoFaBRWDWRPwIypbPA+uuBm3aX6Bg0KyxDL7eILxSf+Z2rcCQciXTJwXJnOxZxqQVv68UMlXYhge1VIZSrECONZqGWqRL5lSffhAq79vO38qgerHe9gEZv9iKPvsydNEM1QpBMFC/mOAswxYtzFW7XEmtlYR0rYY31pDPQSXGQGgGyjFbpofRAkOPAZUYHMtGOes3VPU8f69EnqzBOvSywP4DAs/s8a+Tk6ZpWHlpv8DTu+fjOP7Vmmf2+DzMlk3Ux5sbAHZ6JrwAtLj8OFVHhtZuJqJrUHaikNrw+RkEdcm8EPMzi/NxmIHykzbhJhQ4E05zU8S/lkcq/sINZZk7TjLzQ6FeLYGo0MnnH2PjAsQW+oFlbK7bIGnxgkYQfybXNH2KWP1NLD/06m3PrsKoabTIS89YFVCFgcW/Cvx5JPvgHlTHhnC4aRVCrV24JqIi+HlSw32K5kAPY04siD7NtbqawSB2rmUVmMcsD59Gck4R0wd8cu7rDtUR86kMvu/9pofvjrqoVuJoOaCi8OhaVJ/dSLKFgsSit+xYgeH41xR5Pa3EuxrED492eBji254W6PC7oH8isldpAkLx4F7tYs3bXfTe6aJFvYrKNlDwTqDgHkdvqBnHiW8YJv5M2DaSg/44UMU4khtMMO/M90/FXTrOcw0k4lH0dLUhEjbOc8mvvjjl1Rdx/kowdE0W9vxLR7ChrxutzWm0tWRl3NET/qtlMnARWe+M9aFxAD7XS2MNk83WJGK1AoYIrGaGjvcT++Oma8ErrqOOi2+16yjrNqqn/IkjYJAqboQ6uQWVhNu0XoVLQoenhsAMMl/HDWYZ/75LwdPbdawRCgIw1o61wDWS0KMW5Qd4Gx8n1YtSUwsOKk3gj/I8WiyCf9eHE+zMmR00sKp2CWViZEYjcYQnywANKHoHzc5EFfNoMKJxOF9VkPT85sXa6pcbglKBoz5fgeW023kLmv/54jHwx8o4wzXNKXZWNFbKI/YM6LUiGCrV0LzTJbAgSfe1BratQ5ijCF4NbdnoX9PIi/4A2Fgw1wuHFVr6YJcZSum+TizW+uFLrRHYzu2A/a8HY6VWo9J1HWotJOTQghEvGrmh5EV96Ub/M9BFARDU9iaO4NLvUg28nmvAUwxUOq8EhD9OY4WfleiSqfxWivScgxWaOoTwyG4odhlOpAXD3Z04vLEdVkhHhgRnHYuY9fwM9K9+SgpZhpNBPtoDNdUC1grzPBvBti94jX6ertPsWgFZ0nheGZ7uwXYsecZAw50DOl17s9hBc6qOlPBBKdR/LPixZiGDHS1qBME8uF6vEzQ4wXYytfZFnD7RuGFP7g9LXkQHVCwnaHL6SkYrKjKvlfTAwADTOibQCLb3vs0FA7qBVvJje3LgD1imyhFEHI3SPICeD+d1E1m5sM5+IdgmQ8lkn/dDC0eRJjBDsxzMTFXPa/ld0dBceRl69neSgDgX8Qo96Q1+ReSOCNTl9gUlhVUFvJ3NlZu34LaxA+hpbQYYfFhABZl34DsK+DnxB7yyW/1yF5EtGeTnyM/zRuLvQNm+1T+JY/scWdZSGVQnL6MdNQlXa5N+vbZQ01hGnoVVrn8staX+Edelsqw2BXoKCiYjSTzZug5O3BeW+vIeuM9wu+M+tFRejgv4nZBaxWC8AwXi4fbH25CIqZx8RsP9yqFHz/1JrYNjQSbWctdFAjqB7mHdQTzhyylBOrut4z4oWG2yOCgNbyvBnhAtbC0uk+MXm4J3ErylTFRpRTLfJj+2HD+sIfWcLo1CwHRjHkOkZNCEz3tj0e9gXVPzrfFevLOrA4oQ+AcCVJ4Z8YF0BqcD8Jyz8tYHBwjErakWWuIa+jpvQLXtCpR7boFOQLegxVHHSCGo6+BDeobIcPbTjKdoc7SnJdYjuCzDo4qnsOkwwkEeOoYdULuL4JDehFzJV+ZRankEWw0yqD6bXounax5coeGq3H4az2pYvAWhcGoQdN3yXol+lTVLYRPBB6vpVMsexfq2NGMzw/jsbA2nbA9/SaD7shleo4TYqUcRO/UINrUMyDN0H10j3Y/lXpCy2om2FrTRnPKOGerYMgVQn35A+uzLb6BFag39TQYceOgcnMVdcV9rlOU8/ojqWK9fnsxAltsIglI4OLywBsVyodU81CZewsjlYfS/rRUF7wR0M0z8cAxqviTJ5ULZhnlvAAAQAElEQVS1oUs/W9x3WUOY+zIb7s8TDs2rnLiEMeAvJoF+acXvW+Rd8tARQxitdH8l5Lps8E8fmUKoyWMvzOx6uIkMeEFBe/TfZZz1hrdhKXCXE1UC670Yycd2CFIzniNfoSn12XBCfmZ2GxfQFbMC4aqwwwqqtLguLAMGge1hgjy0WhouXX41QhZl52si5zU7BmihjQufoa5W9B8hxkYFR4HWcqR7PqyRUWBoxINhAGvXUt9t6Zgr1jUic/7FnuBjoQNhf3FFGeoH16VFsj/T6ksslHJ8AJQvBso5bbG5iRZmuG1yO21sm+y/r3JSkm8x6OFIH3CKpsP7vyPw1DNKPeZ0Z5TqMADLOXVkjO1zMzwuB88gHju3vCtRKzSeOq4NULuzYw6ErkIBPZhFmSq0sJp+9igSLw/jyY718Jo70UVgZkQ0ENb5lYjp82OTrtOQOO8t3bAVubtuQuwt7TJy/FVoeTMvVTgp5MIaK4b03umB+SKVbuHJmotcQUfbaBjq4RjMfjpfIQX+Bfws+1kjfvjReZ6qj3g17n/7NvnXnxkTOPpFRWrOM9/FeTpVv0+y0kykFRAKoNMYxPIL6Mdby3TqVCZhcfubmdZFZNxC1MpQKsBvDARa7jLikvUfpgaUi+VOL9uyFp/712/jS//+MP7t/sdx2xuukJd25PigdJvSCelebNa74wsF63O9PgYXOc9q09cWCTTAW4iB+sX0lYhoO3A03Yqi4UEdngYPvu5aZpgFZlJrEXeIgaQ+XSYBxa2DlHbSf4UwWRzF/27egj9o2oR00R/p7WizZIIZXA6rFlRantVohTMnurE6cT2t1mbwUGkYz9VMvizcGqtzCzIEZNNAc0mVzMBLzd2ITtHARIOsqY9DiwNM7brAdFlDMw3fnG3fbAFdqj86H7Y88KIC793OabeG/SbIW8HcPzyJP3zpGGYsCyzs/n8bV4GFUaZj80R1BH+XPwCeADkcGAYMQiS09tTCmKIK4gGXhUvb2I6qHYdQpxEeeFqS91yjSnfkBQfVHFWcDPmWE6XRk7xaaYIYtCz56MjPkPX6OF4vH0t9fdTmylcZGt47RxAeeWHOf8lzqQZ+0GvAqs8vvIB7LvcamtiP1P7Pk5Bpw0z24vi2KzBU1xZNi61IifULi6Oxl8F2Y6IGY7obZWyBQ+AKYlECTRyaq8rwDG1hnvMccpqTgEfnIgHD0wlAQh68b7xp+1Kp6kQXnDGmdGG1+k5oiC+IDwS/Hs3nYxi8YYL1mmBnzgiSf/S8kMKk2eTOxTd6GoG87JMG0s8YSL6oI3ZMkyCdSoAhl4MVfqFxRaby3MkexwROfkuRWj48j/P8yfMopzVf4Umhpp/mcasCrJ71BQc1JKDQMwL/QmHw3ufsNWqCHcQSunRfCyueSspiJ6fmAU4Z8Sot1maPaj6P8ON97Qv4j1datEFNIRDyJp+TdbN0UckMzB//NdhvfM9p6fx8gsWQKMmObde4p9GcKYKf55tuSGINLVjMwsaLL5dOEyaDMhTXF5xdJQVHS8lozRmX7rlYpWGB8ihk+wlL4XPp3IoBbJ2gdk8955u9O+Dq5CfAThA/t7rq9/GTVnHpzBQb8L5JLQ9TCeNTm38KT3Vch2zWf5ZEcsaD35RkInURsN3RBij0V6nKm5MzsLQWJpsz3Nf0Et0AxRRap8j2Dwbxg76a2H/mvlByh9C79wpseOwNSL6kUX9WESKwXqP+zCa5V4fScG0KDLoqAy5MWl7IYfHvIIHnHLcr1IL3kqyQTLo4kh3DvYXNGCq2orZIMWNgAOgPjyFEt3JnrIeyCpR6b4aV7IZW347SyvpgLSXOaaQbXpqDr9joais0h563V5H3wkBGmeQSKCo8LYyvRzdKwN+Y6adxvwqTgPNK13USbGe6LZVB9JqTUq7h+MYLEXZNBl01BJZ5rjBHIOwqXjQ9Gb+SxW1qqvtGfCJ1NbTyuCTlbTHvqVBDkKHX3mJQTDh+X9ya3A/ehqPNTCE0mgGD1s1KBDu23CwBd+XYfnlBvA1KoN3u7LgBDDbu6zBQoQVqdWAMrND1+x27wHkZXPwd62UcCasyLxg4o3HIDyy03ZBG6/EKAe5RVKJV5FfpgBFCQqxGs7OdQKcERCkP/tkdTezMmUBreFe4BcEcuKKWu+K3qTBaZRufK2gZT0L0ypSRTf4YoY9OyzFHpbbs0Nxm7XyjTGfLCfZt58Aiw+MNG9B9qY7uA+41mvQW0Z1LMH+ZP0fZtEg8l4/LJKN6BgpZEw4B7yim5xYJIkqLJC0k/farTvr1KiPPs0VDLMb85i1LPlUH36dnZFBa06cPLzL+XK2Dh4TMsmmjB4OaD7c3t7lTxnnda6S7lNXW6vfXgdBmmawe9LdLslJ+XzSW+abNSacg6RuBchmxjMXtk5MeqQyDF4n4LZD/PPko+GOqMaFjs5HhZGmm6tu8HDkKBIsUMqHBevEl/35ZQ5+jX4mGu0ntl/Ny32f3fBlBi5GWIiAcFU7MhicEVLGQn3Vpbgm/+AIyz/ZTP9Tx/KZriOc28NaIwOIfK12sKs5A2A4mHXtx8lzYScUQ7fDAfCZrebOG+VziOXgCXiq9AbKvxzo9MF/E4PvohhpCoSLuRD/iO8cQ3nECrTcVsPptnqTl0zDYzhrxKo0RnTe6Mm9vVEAoHljDPdoGdAkBHj+YjoF3BvibFIWzg3Es6albKbF+buHP9F5GcyiNZ7uAiuJCmDaSIxFJWfKGwNecXCODl6z/QDXgt5yL4IY/9IG3o0og7x/8+T+irSWDn3zPm+VV/cMX7pXh9tYmGf5Bs1jDw462INjHfS8B0nyPg46vTZFQ4jhFA5RluAh7RcxME2NKq/W1X/wDTOx6N5GaEGS3gICAOuBuEkNKUZJJ7dWS6KGRLQBHzIy/QOAQuBw2bCjwkCYm3nGb0a7swJ3RXmKkDTjCQJuqoqs0LMtRyxNg5o/NRsXi4nEo24lQ3qH4CmpeDpEmD3HNozQBywFamImg0JHZCgJNPtbiv7fiUizAH0rlcZu12f9s3wncNzwl49/S2YTfv7wPLPzKCLIYZP/H/CE8RMz17049BZ4IeUKkJJosPIRCCtKujiJdD8fxIBq5cismq53ExAPuzDDUmUGE0wIdO1Qmwfgh/zpkgCx+FuRA0ESEpM/wzQEKnHARGz0/SNddBb8xwQLSuV3qJepzqQGlOI3w9CEIEgg5nz55BGrJb7scvmQu1cAPcg3wtjJ8f2ppnJ2zMpGhJxE/dj8UswgnnMaxzZsxpZ+SeZuUncgqvuaSjCBLzeUR/5d/RnyAuOFCByb1PuT1JMw3bIeWSBAFaNyn2UtKbTL4mliurhKwXyQhQ4NHSJTnluDGfcaZT6iG2D6zCQS/4IOpwzQ/cq5uTbAzZ0IrbCcTEAVAnh3z4GmAWgPN0QLhIUWCdOnndDAQz5qxrCEbHlKh5xQwMMhlsBsIqMG2F4MvunhQPQk14ZFQ4oLnT6ZlY8SBzFYP/fFpmLMCq2f8xWipQViYYRJ4DZpqUdeUcUZYl+5rYbW3C1lsYbQi3fNp/ezaDvzSxk408h9nWz4LYf9WduFDZPO5eNGC2DCwlnu5rvE9nzrv85pIygtH5yPqvlPfUcDCKZex6o0L+ZY6yVk7t/VkAAU4nJlFozDJAiiHuSDF9vu2o6XgaK3wlDAtlFUhvConn7UpEdjOxCxgNrYpjms03Ma2TQokaxqmwnG8GG+BXd+/mLXcmfZAXWOb/YHh7QJ+fuIhPEz9kuPC3izChgZX+DxeIuq7nHYmYy2jLcl7CAsChBUCahlwd3R6Rg2FcZ9VHQ2l1AzK6kRDCsD7ubNmK/fREIHnCxIbAi4BG4lTcURnm6CJMIHDnnyTpdTnoLDFlmEuI/28jqDvcnYDPp/qeCU0/g7WZhAAsqy8w+b9LWvBQ+e315/Ad4Zuw77yVVKBJ8g3OChwND0M3k5mi+738SCN+Uv2m3XZQvrho3AhxV+QwSv8Md8dNgWE68D0ZjFUHxtZScfVwnjZaEZocj8C0NvMrJVnkqA5AfNXFo/JsFuXf2Sgbmkkt7DXqSsarYuEOYj+6tmNG19N78KEnkAvtb2fzT0j895b8U4DW2TCa2AJlkXq5YYmD2DnxhwMoWD70Hpsp3rhLUg3rvaV06Q2Ni2ANmq3M6DJ2UurmlHVab6cysntVq6LteNPm6+V8h63k4c70zhmFVBNLP8sXao6hWB1zTGAWhnJAQs94XegRbkauhMD/9T8LDuwMzRpSJ9v7a7648lmPYNgDlxpH/ekWIeQaEIz8QZ+CSvbCWUNVMRQSwnCravQRvx5KVRvxuXWXfC6+uB2rYV99e3LFqYU6+1CUaCqft9SXsXHU/lEPF/zN1z4A+ocZqNMjEDQmOHRecyoC2r6UKtp8DjI6WHDP3fBm+YghOXL3DKwjMXXHnnhKOSCwTI0S0UfOChktGFIB4G2+3QdUOZYq76Izv5XY0Z8vT9s2ezNF5P07zVoq/MJ875sk++fivn4hcJb/VBbt1N+ORrxNz7FQvsg9VuOYQyE3TOZm8JdkoQBd97Ol98C4YibIp3gXQd2hXylPI4rNQy5L+7165DjA8MgPC9kcL3eerM/Z3OYFzgCmrNxGfNhuqaMf6/sPx9GreVh2zbUagiuQWWrgvqQjgW/g08h+/hBCGg4eet7cLitD1EhsJhvlXnoOUaJgRCOi5n67gYyfhmrdadfJ7kjyjIUy0fTacC8FFO0rpkAz0/BWJnTgMFEBc3hWdyyLg9lx4uI7DiOlg1JRNvpPikTA+cMopNXAu1pAu3Z30V1wC4b3vrmuis9sOZ8OAvwOcujfO+cCjCW5fvm7Rb1KhkoecNoInnleAYYi7vU1x2kx8MyrexNSLf7Nle6l6z/ODVw7i39NaqbVZ2tuO+f/wz33P1RPPDFv0AqEZNn+uD77sQ/fOy3oSinD2iS4AfAYo30Vc4sFGKueE9SBtv/Ku+BtSkYlPaaUijqGqLuLEYHbP+ONQMgIFsTFkwCBTKqTYNmUqbZMX91XC8wCEvSOMXq0/1k06BB4D57mMlVDBsGAe4tVRtHiYHieNZ+CBP47lHgmsIRJA99WZr0vruRefEz0vzu9DeRcC3sJsA9Ou0QA1eGiRzC7SbiNGB5jqBLU6BrLjK6DtZYHy7XsK4OLvBroKDfLWEFrNn+D0eHJA3T/vftfXhzZzOlLjw+ObtfChCsrcEMIk+EPCGyYCEpaWBjt7VC9cIeMlGqjmLzG1C00lBiOVRo4jCLQMflfrM/9YxDVPNHUG/BXpUyxaxK52K3jJz/fC+B7a/9kwqfeApQPByxtuDlwiZ4JPSFBve89ie+dIZLNXAR1EAwxvD8cjaXw2B7lD8+Z5VghhM4uLkZ09EcFJp9OsStYM2QxeXEvv4d6IMeqmYMp+Lrsa9nB0IfvhHpq7oImPGoz9XgGcRZL854nsNONiVL9MxZwPVI1zyu/QAAEABJREFUMJ6h8xow7bKM19WYdM9knbR9DTUW/AINTmbuecG5MW+wnYzZvDIzXul1MHuFhenrTMxcZYFBOQbnGEBnIJ7LZK3YEIF8sWOq1JhlEJ614RP7dQgb4O1kGAxg2ocjJ/HN7kN4+uaXYcQ5ZqFpvcLDyTTdO02ZawgU5FSmE/kZ9oKF5WnTkn7b1qVrGEK6r4WVavWF9PO9pQxf69aWFHa2k4TFgbp5surh38oeGFCvR53msObrR3IOHiDaP8m5C9K5rgIt98FHzq1eeM/2MgHXDLavfpu7YDFkwUnOMrA+GYWgSxhNltH6ZpuEUEhhkgXQyfor3opXk6W5KjFR5LPVVrIBzZyQ7tlaM/vpREQcX+WRvfLB93f9kALXU/FQsgNWR0ZmuGzaz7uURuzn8i+jRLzoQdfvj4pjIptVZD62EvF5P4dXMg4tYHG6lvOvmf1swsTP9iqCpnwHq2KTCOoE9Z/ss3TNuZYReMSP16OlwwtilV7qbBSKnNSgVBeWTdHyKFlDaB7qgUr/yg4P3LcZoGPAnt90yV9mSQCe+23igIbISRX8Cyl+P6h6OQ7OmQOWD9RdFfafGye8K74Wa5JhmMkanqWqfXRPHF/9uoL7aTHn4CGB54s58HYyvYkwNoeIgDORESSXBGN9wCNboIVH4vpVAjkVGseJ7BUfXGaEmptCC3U15CCBdACsRZnWQ5hUI9hLMopa9tueHWsF90N+SzZRmcIbaqfgalFA0EHXioafQqASBz0txA5CkQx4H3eWtY74w5WMX8raa3p4qOrSAkQCvzz7DG6bfArXeQVJeqG2ltEWLWr3WU/BMIAmWvT8JeMKtFDd0E0RkNwnr0t75gE0arfLSLKY7miTjprnQB+ZohggKnS8P7ERv5e+Cse3bEPRs/GvnXGwcpMkWGS5qgcIDVkSNdZ+u4S241GovKcCgKBdixo9SApbDRrurBjFmvQxOt+V1B4DLeGl+jNllYeOOLqU22EIf/6VkWew0soGeIaK6VUVqKUy1Ok81BBdM+UzCx7Mu34e1l0/B64vilry0Kb8eZoTvXBM7uMevDnAca/UeOrCnGJyBIqrwgtFUIr540NI+H2ZKeMhX4Yv0JjkaB40uheOX8nEH9mL6PMks9/7DM4FdA+0rm+50ZNti0HhaRpOeHuZ4HzTM4HvlbujBFaappCLfo16Es5l18NLZOFsuWrZwrNUNdG4h3/q3Y3Hm9skHW8rY6VdBAuaxpQi4xutg6Z/4fzdnMb45fzcNvnND97+jw37P958Iz6U3AbuQ435phsWJPqPCTDA3ph+tF/I4DrqmvEYwN9g4IgAQGf/2ZigXJ36/dnQny0Nv+ljUp8XxK+5uguFFjcVNJykRv3okW/I4pyr3ojn1u6UfsakIkJ6F1qhMLpZw93xsJKGe5CJQW6e85m3WUkJIaBvdIPvwmTWVNF84rMSo8ru+RukX/h7vDB8EIpZwI21AVQiUbgwpayh01wF+lWngeE6D9a80wNfB0XLI7KoCXURZsWa8/y9HCaoTAJ878y7c3jQYXve6HQOlQyfsy8aBf/2dLoggQWx/lma3WNwaO6s1kF3Tr9k/uPUwKLmdWFv3HYclCtVaouePLFBo3Bvd9sCcJ23muE4SfADalmJbmxu2MedwfYygXg8sL0/puAaI4yhVAwVzYYzlp+rhUrJgiM8WCEXCRo4PRowOZHBdC6T/VppAsx0quYsPDVMQnY3R8MmUN4LewgTA9ZSreHlmiXj2Zq1DXawoXYCpufCs4jpyUWgDEWgvhzBqiM6ds6OEtAfwmCsCeHJCuC6UJpy0AiIFHTtHq1wxmcS0KP+iHSkUMYqGrxkwWQx+N5NTMj3xqbBH1pjbTLWauePiVHygoNB9YBhY40OZhAZeOcJ8Y9yz+JjuRcwk67KPHp+YZPuWNeNMjHtWrSCpPcC8i8UkOlVpKZ7Nedh5EX/+jgz1xvXkXCqEPXBEjTpcNrFbAQJGaGJA/ISa81bpXvJOn81sLik0MsPyzHriHs5DuF6uJ5AeHD3YrJL4Us18ANbA8H8wpolK91kALYzjWloeKa1F2NOi2Q8u9Q3IqL4giWnz5mTJ4Ajw8SWhvD1Ne/GwFtuxa73d4KFFgaRhWXDcwjwiUfmsrxWngDUd9wTcJwjdBqacwmQsuwy+UG8iiHdM1kHavOCX6DBuUEXC7IJG9DzflytbX5eWkC0RIBBc7PJBYNzDNIxWMdAfI4A+UYQnsE/tTZ/jkZQ/9QUzeFU9m5vjOzTjwmnAidtIuLoyJhhaHVQXhT8+/ISGVRsV2bUXP8edF2R4dfCamsD42uI5WoYruKMPwbo/tesCzZ3l1w8TKA4A2ocf6bMDKR/vuzigaqLP6MyOFzx5nNxGVwma75ybJbaBitLMB2HA8OLFlxvdhHIHQ5iV3ZZQWBqn0/T80YXRr3e/ZhXZodVBWvjUZl5JFbGagLxO2/0nx0LlMKr0qJWFazV7omwpHMNqnDyqc7S7YOSTjtKwwKEf0OlLsJC62kEiyI0oltVUJAsKzicasd4OiUpOmepY5CP2yA5c0fAF3LEtO5fp1KdRcggxpIiBTQkYn5bpOAZDwZvmEgrCbkgxX4GEpN7dVzXlsO1PfuwNlZCeCDGSdIEfZa/65BvmkDjhz8lAVnBIhj3vciwSjGnH9EhFYqjQW9OwFlCk5H7Lvftco8jM0cHVPAWUhHbHz8t5ND4C4CmXUZrYzTeFe9DJg30rzuK6cw0TBNggO3ZPQLBdjI3RzsX5GEZgiN4zGcemf1Vd5wdRIV/fhl4hRa/bavTdQjXxLQzjuDtn/U0Pr4lEaF2qOEJkYFaJqSEzuGGkni6Ru2V5IybCvsR9UzYiS5KAYJrlQGyVDNPNmBH/Xrge9hsTUKxq3jJaujEkmre4j79zyU//U3pNFLJdpn4w/YQMorAUv1bEixh2VTMX+RdPLfC+ZbIJqOU+vXzdXNE2j2FVd1UIAUatWqdzb6Wu8ofBKU03rsdofn5sUdL4EBHCFU4CNHcSiRzBy+u/MbqO/DIz/4yvr6pB7yvO/c1Bm0zn38Q0d0vS1qeZxAKIZqP0sIbyYXd83sicD8gRphWccvwDH3BW2CP1D9CydcQFTqaVf+6VtJwlyc8Rysq/HY7SYC7GXagTeURaLibRXFWpbGW+BxhOAp+c0UM+m9QzMWfBw+DxYpLYwHJprNZv0+HxXxf0hMexEwrXBr6yhk/XR/x2/9Sp+dnpZMszWkagfOprz+BBffCCUsYBsG5/xsGkG3y5trWsX5lAXWJxsQFEa8gMOoPGVi7emHZ7qp1MH/6NyHf7lqh3LF1A8iHSvhWaxyzjgn1mC/zVnqpkigfKxeQM3dwG2blvJjQsRgsnyNawvO+xHqs09P4UHIr/rLlxmXz8tjJ2QMgvbE/mhYQfCy1u8tjMjRlpYNTg2fXFn1qIKj7bCaIOT8ujy2uoDk6JCCEgMITNeZ/CtWvR+NPtbMJ5tU343tVP2277ruLbS+ZxarSDATxgaNOaHHykuFACSHHrPWSFKdH0qNHsJDf1fycJGDcho1KONexcpGuwcIV1ijy6aRMj9HYMDYu8PIBBY3fwWGeTBLUrW7qknUvsopAkwJwWL7NSR5eHCBnLn6aFhc43Giiwu/HrSrxUITJ7ZPjtUcLndNIlvxGUMJQY5ZL/v8gNbBw5LvAN/3Y0y/hqjt/AQND4/j1j/w1tt7y08ua2ULpAl/dhTudleyWJ+N9CNlTJkaS9zZnsJ3D14V0DKSiqOoevIEZjpJGyfnMpEur4CoNmHbU7+ic6MR8BtPI9YP3PuQ4M9PHjjTMOHuhEAwC3OOmjTGbZghKYSYo54YRpnXBjaMFKE9GIQ53AEO9cHNkqm0IFzXccIqActfBgbbViPA+7lUCILITVAIQcQEhBDRbwxV6Avx7aaaIdRr7fMPaK+zjeHbfTIM6u4sNa0f8v7wvcfLHfphhYwbxT5quwwcSm8CT6e7aOI5EcwgrClotA0NlQhXqBQkjhWJoB0qII5SZQfjUU2Bht+9mVVIMv0gXK32+5YT861VUfxIXgQafn3xR2ixkCFokYKachZGL8iJ/QC7KmDgCzSui5CZwxL0aQ9gAs6JCmx0hgXDiB+QuL93GpRpYuQaC+SXQOlxMrdTyiAw9CdZs57SZVdvxbHM3HnryjXj8O2/EyPNvhGfFOGmBYW2e8teeAoso0+19uOF9Wey4jEM+mVIVAC3uAlW4iagf+RradpM/H6CWg+NNyTMxoCA9ZGnKMtIHpQVH2bPAi8M8V7HgN1hn0rvU+ftiWmPKZ8dY89xrmCs57VwN52eN3aVAeAncrXZQ7XRksWYRKDoWFJqzp0QFJ+2CjG+0DprT0OlxrTN9qY/BUU4XNR+o95IZVFy/PKUOLBkkyDHNa2E8JQoG3VXiUyrTtWVPwcD4V8sePpJz5CvA/Brw0zUPXym7+HTRlfG/n3PBbx0sVQiD5gykv3XkYfz3lz+NG0e/hwNTg5TPBadxvr8kMO1QIY9dswfxm4e+iPc/+wBunnwKnI9B/cZyg9eox5/3n3Vj2lL+3GEho1kwDfuymgy/Wmt7fcsH/r4OlxVoebFA6QZ8pQhxkjSWvkq6em1AumdjuVNDSCaPy+2IzoZeIdAnZQJr6rz+Nw3//H15v59wu+S+FJT1lVJ/4EVe+PUpnBoSUd+veCoyWW+O5mw8VrBFQdEvI3FAg0rNqyM7iCu27oNrtYHB7kigYV7fAsqKVeFqFrVGuoElTsRvoHB0eEiBHMM4UDeOXaRxMgwBBd5aFSv9Kr2OfJuF+zeX1f5sO5qGemA1bCnDdRQoqPQa8QXF3RTpwtURkhMyFTy76xk8ePMDeGnLSxhoHcbR7DAiNKTeFPGBS9R/LEOwN5BT2G+KWXZgiIx0X43lhJKImAKCxqBTtg2Wf1iDMCKA9bRo56phPB9qxbTjwiF+3lNDEvxhMH1XbVhuo1hr3SYvQS1PSDewWIuT/V4dTOJ72FEbqZ9r+bZxN40NfB2XEeh/a1jAjlGdUUEtdh4fqC/icP9mYJ6iVzy+TQt1xwl1/3rJw9nQNxam1vIyWGveApbv+J6v7vDloUatWt4qRRKyRUC7s+MG9s2Z1XoC/c0GjdE29DGaxxoUrJgoKnT8XGobegmY57mKQffZ4yeh1EwYx0aZBC51R48AYlXzQSy3a16eFLaAoDI92LAz9TlT5gKC7WRYu52j+Bzs8nm4rbL/fBgdMSTEangRA6NrZmAMjCPSBPmrTUvnjJZa31LGamuCZxhQvTgUWlQWk8NnzHsuBMrQcSg0PjnJKCohB4Lk1nA0OlcEj/VqNQ3PAWbXJWR8+MAJ6S5lhff7aWZPG5xYFGqpjOQ9z5wRdA9A8HX0KGmdBMFe6cHe41QF8nTF4nxfuec+BV/4soIX9gqYPmwgac5kBZr0a3rPRLl0ejXj94XDmVaay8uw+xhuEp8AABAASURBVPcDtQqCMdsg/qlxbGWehUtirXV2z9ZcF27HH2Svxk00Vq6Ux6ZFiF2Kihuv9OumsT+OjQowIM9gfHu7nx4slE2dZVsMzl0z/fy67rtB/Kt1eWwxuYG5NPFSYYoWInv+UA7upvnMQm1NNwaclByXo0LQmCzmiRp8rHQRsU0I20HBqzWkLO9Nb/DvKXeE6ov40OUp51Om9gkw6B6lNdC47m9LWVj/dkzv+kWMbHk/9iU3IhxNo2PNNaioszIjz1OPPSbw8P0C+0cVGJS3bZnv4PDcw5kawXeePrhPcnyVnl9XnT8/6sNEHD1nYqJL+mPKNHjeGWOeImJDqdaQGfAzFt0hhCb8cVwSX7L+Q9SAz1V+n261p7sNvHd7KhHD2990PX77l358WRMOGd+nq3ztT+upIclM3Vg5QYNVFXdGBO6KirkTr9E1nGjJgPd7S9KqXTBx1erMQTv8kcolxjXIZKbXSi/vs2vMHJV+K9Et3cCys82IeDZ680UcrvkjxyO5KbhaBF3E/G4cqmKWJpSXib9iBqS6dQ1KV26DoEvbNTEF4Xo4nGlDdJIGk1oFNW0cPCjFSWagNQPkCYhUNb/c/mIZ3cJFiDJvJyaWtVd47/ahSg1RVQFruAfX1ejeWxoAM2ab9Sx4u5vGNA4zCM9x+41pEM+IdpvqkgRsjguMm76KJoAURKSMpuhezL5YlFrutPiI3AkX1ZwXkMI16GY5pNFNkhto8JH3oj0Y2OKLM+v787P/knltaiD0/H2y4P3O9bBAAoyRpsWqVfAIbIqceFym/ceyLt3tf8QaCOYSPe8zvEEdGDP9SBz+Bnj7sQBsH1q9Bi8qBTz+5PVQPYPmgCYcfjmMf/+Wgun59WPwx7qe+PJJtIyPQVFVpN9xOVirPSibXbUmaN5xqb/V4FwQDXcdDLALkixVmsP4Glw6r+mU2AtN06TbaBVcEwwOHjRnwCYAHFjDj+leMtkG1ukL2a/QKE2clNSoeU7B83owCM8at5VVDiAgf+VhIBeqQhj+PPhohSJkyrw1QKAgh65Zn4FQgeQanxYToxwNL5mWLlsxWmBg13gVPNv+AwKf/6KCKi+wcGFLmGzGlbFDE0sLdwx2/+msK7eFMIoOrn/qZVz97Alcs+8YNh0ewZrhSfRMjWG26uITBRcMzDNALwsliwF1BtVuG34Szp4UHtp3G+wnm3AtlXPrvu9h9OQ+fGliHFceewJvfmw3Mg87eGL/lXhueCt6D0whZRbwr8SLTPmXSSUCDGxrhIFydfKe6TJyBSt41Tq1bgWiV5C0PhGVufj7OtJDFguw5KA2McsO8YG+0gYHHC3FDoTjgx4ysIIlarPI2v+KvjVfQoyE2xVI55KMhN+m3njiuIx7kqTciWgY3Pe2F/1+Fnw4NdBujzHTR9R5xW/MSq2AZFyD7iWhI3Ha+EGkKx5O3L8GlcCU+GENrO3Oynq1VcPwNBdmulnmjw6oclsXuZ0MxVg9EbIBG2XpLrZYO5j7HcfzFk/sBiZc1273UmF4Wf8+gjR2J5wq9tTGwRqbHOa3WXI7LfDCnO5E0H5iAzr3rYWe88cTHnOYjscbBlLZ32h4G5GbIp3gurN1G8OdQzh42V40dZrYlcyAFwUb6bX6GG8nVs1FV9xx6Te8+X4vI16B5URbEKnRfRP4c8LRZQkbSEZgTxPd0lXxGHlJ1tCScEMJuThWdmysKQ5gkzmBStd1BMQniQZQzYXtMwDgeRsaJmBZaz2XTefqr5lo7O+czuahqgferiZDber9cboAimTtSXJo8SUvASdWiOIwL7axu5zh8gPNUNaKv7fSMBgsl6khvvH6q23+lg4tuafQI7UmgVF/+AXoubnNnTKns3kXQKC7DNQtbgczUQWHmjQ/ZnDKdxfZ/AYxA+Iscz1+/CXwG84qgbfcByWpokqHLbdvCzvQqd2pNAQLAtvgVeE0+2MFJzKgHmwdc1Okg6OkYXmOPUF/Zv/5MEllAzySl0uZGvT6h1O5XKsg2DmjUacLkqa23q9LRffblTLoj0ky8dVaeWJ6SF5WiBcqZzwCNalOqzGoiwDViPDHmtkmmqvpnMbA2LIAeuTASaIAqltWI//Wq88adD/0sl8vgRZ2T48sBkVib2xaRGlv9WREgcZD9jDIPklNh8HkvS8JfOFL/pZUo6N+OUyzlDEtYIyGDIN4jJbmlWmXys9x+zDGDrTiGuyncfgYLX7Zg0fROLbqs/NlBzzL2W4nIws/S4vrZx3hFhsMFZ1HdKzt8+sp0HI/cMi/jp6GrdSCxV+uB66PszwV8ch+WcE+9meb70x0DLYrjkJtxW9fusLjbD0XtU9v4rgM1DZvxX7LH5dvDsuo06zSkMD0UBZN1RIUWhgddvxrPo1wUQSvB7MyAUcHH0Fl/3LGId450G7vWDcAvTAIjxZkgwXRJ7RmuEYMl2UyMFo30SLBhCyqNtWKqVOCFsypHdLi50F6XPwMZeIii+ccjpLzBHvqRq/zJ9VJoFv17+8UlVVPnnN04c+JrVoFDmF7x6md5FuoAxBF0+4p+XYvasPQhr5DMa/349L1n0sN+NzEueQ4j7R9PR34lZ95F9KpOG69fic+8O43LWtCvPx6Hs99sRXFTOcbagP4uHcUb40sfCw8AESbqBMLIIwc+MMjPFiE3BLJzB48omfNDzT8ggGIB6RgT3Izu1BqszPNCJNwnLBsYqyiOGkX8ILlDwzbKjm05RWUCfj4rWsU/Oa1CiauWovKzvWAHsaa2QLSlomDBLiH8jR6kd9EDjwohRQQIAJMl0lgqQgEry8P0QLBRzMKfj5BBAC+N0aMB7k3tWXIPv1gAYP3aueUd8X8BQT2NxpmDjl8wipAzbIPsEnI9n2+3dTZggL6UNVC0KIlJKz9yB9T0LKJGB0iGXjan3DIi6DegoUCQRMPx1+sRjg1BM+31rLlYr3MH4jrElYZRvmkVLA9olwJwwBixKP0VzaDF5iM8Zd/IO7z0k1cqoEz1QBr2zGNXhgCj0H8QdT0C59B4sg3YOR8zVOTFn0H1q5Ff1jF7u9eAbVsYMdGWlx/qyf7TakEfPMeBbx/MJuHHhHYNPg9GKoCsWUN7K4WPsUCo1QpaLnU36okWPvjN8W8pkcjsO/Eo3BcS56P8BgooEFAhnzrG6Xj+IWJh/E7U0/ij2aeleaT+f0ycbWeAIOvrDkZFQI8r8sEsoQNGscF+YBz2U5GZniVVm1GQVW1QdOjLOnZ+gfuZKBuBR+sXJdKYPNPu2jeQXM+pSlmhWya7xMZzNT8erFtv05035Hp52odOixgU50cP7F8zraOqEycHeNGIb3S4jq+u+SCNdhLeRt9z07hyvtOQhnSYAw40F/20PxSGV1PzqLnoSKuvb8fPdOjeIiA94/kXDxAef9l1pEa6jdNPo3ICxpK1SQ8RUfNjWFouhe5Q92IPqZj3b2TKO5uw/BMD6pOHNFUhNijMI5NbMJb9z2GslXDpwuuvK7A6rjWk94zaXWZRYA1zlWqx3Czn0dmXMbi++ZFBt6betCBbGsM+C1F3hkNIaPrCL6vwzSJ1f45qsN5DsJVwtJly9F88F2zxyAIVOO4lYw4ch+EW4Ua9hDvqKxEOpfGCxEcSFRVXDt6FLyIvbvFHwNWVzROAvOo7PlKyR9j3hztkcDxtBYmHtYlwHUWjM9qIoI4a34w8TkYK+U/KwbUeYsC1iQvbLVAqKIspdIWR6mPKpdCTKPnBZjGJZCfogg8M6Vh/2LD28EweG9MKeCyOZ37vTpYYy/MXv8eZaDB+o2px/EXuRfwnycfxU+MfRu/OvEo/rz6PL60vh9Scz6sITabQWyvC14kOFj2+eorw/4zayhKelvUCHhP4k+13gren5jfFL0y1Iq4YuCN0W5JE1g8tmvlCXgEalj1N3E5zUaZHYSUlHRfreWFWyToPmDGqP4cNL4Nuz0SgfCAr8W2wok24x5q1Go1hyvMEbDmN1+XE/Xbibpoz3MJAtPFeQR8kCMPpt1kTYG13/kNFRlZtzj81bLfBj4QE4gIP4HzsE+p+X2DlaIyigCD6PesAKLzmMLjfaA1+XTNk/2Syzobo9ICEtO5oSRqLXT/RpLaeB5rUqc4Gv0kx0gPWe6um+BlWmBffgOFFh69elxGPN9eb2P9wzK82GJgPgDdN4xUwKAmg+7aVAFOmB6CEYKipeB2rAHqoL4xrchivPKgdO2Mfy4O8GIzb+vBADuXzXFseC5kN+jP7D8fJoQ0QkYHzIiFmewMwgkT/LNoLGX3TEYlGZVpzN42f6Gd6ls4GpRj/hzOaa/WKEPHZBFCi6ISr8GDAjHTgqiP8cs0tsJGmh0UjCJq67qkn/dol54Gi7ea4QURqy0LqyMLVgiYfcf1sLPJFTXdGSRn4JzlmEAL29AhF3NMU8A0Pazt80/EvJpJw2AA0F+1ywNrb3PqGAHp335QgLXemYbjFpuxOiCfzVCzMRannjnMWIBJPEpLTMMbhrbhpewm8PcITh5+WmautbrSjZyst28KBTxLr5qg0Pk9SkWBVuLhFMWDSsP31W1C8rSs5c68LNcJ1+vatdRn6qfmup2rs3p91JOWdRjn4b30uax4bFmyV5QgShNQHQWWJmjMVaFp9PDrJSkTI3DMGfB2MkpoPXjc4qTLDIWd08zQYwLTxyLI5EuA66HqqQR2u6fRLRXhXe7hi5sdPDMB5M6w1d6p7ygwqe6j7UA67o+BNcI9gvE9+P7HJoPar1eEgxKsWQMvfysDgkqQoS7V3OthZhby2yVcv4uv6XYa9K8OCVxJZTSmRTv8UI345awqZGDYZwWkny3GAZ57NoGZYZ94Nck+HN/f6cBTVWiTs2g+ME5tJocCbwXBiZfMBa0Bi/DOkbEp8JbmF/TEdLKlew8lXIhjYGgM+18+cVbGoVWzC3FN369zmJl18tTp6aVHnNU0eU5Fw3CFCXOwAB7waUihqRpI6VV4miHzBxYPQFbCZ56FUwUDJBwXpLPrGEmoIVeW0T1bxXFi7vZULCiuwI78NDHTCg24bVBptOdXVP/zxGNgTRuzswMxx8K6fAGHM+008ekkQBThkoCltecQ1zyAVjgtGoxm8zW0J1U+Hfj1Zd8HEk5dHCuUZfzNxChIzyLrk7M+k3NntBebQ5lFqX4wYCSlFkWdJJ6bnzh8Kqqjnm0oeCnoTdNoCh1A/sUimvv8qymM0fXWCV2qE/ZqTpEdoFb13YvUNqaPgp8vP+vFz/civeTX7WWF+p+BYpdxyt2IMacHmzZ6aG/zMGBsp2aiQJ0dxZn2tH7d3vylC39FNfCDmokBAJ4/eOxhTfbQ5AEJBHBccc2bMHHZ+3B0bRNO6AJ7HtxBgp+Ky1ID2HW1Dha63v42F1s2+bXz7B4BNk3l49hojkMnpr66baOfuMhWiwqES8yrV4bdlFyU+toEPX1+PvEMDQHgrimxBSdkbb5vlk7IOAYYGs0bIp3PpAqKAAAQAElEQVRgcPAoLRYwQSOgxGGN74sAZtZa9TSOuXCG9+2uqjTvh4BmJSLfKGsEQvi+gvCCLSpqFZofyTDwwqZ+yTHXgiC/HnplN8JAAAv4VARKJS6JfaebVBNdMEXPjpDESy4fvF3PX+ZdPDMDdD1bwOX3D6FzIAdFeFjXO4srrxLYtEXDutWz6GgpEThjQyFwYcOjk7j91LNw7Bq+WHDwnZKDWyeeRt9LBcxWsoimI/jh97Tg9jsT2HFZDV3N0xAetQtXRzpewfo1Jdz2ljje/t5V2LqriS5FkNDVjmuG94K3sWkE5RIk8LFWl10EVtLqytGiAxUEpmfQnf3LGQbb+b55keETdP0fpQWDj+Qc/OaMg9+accH1sjjveloc4Dj+vg67sQ6fD1KsWQ7CUZPSDSxL75FezZyQ7nJWad8paLWTECoQzgLCnX8+WOGn+o+TWMcwVpWmAernJ1MJmaNzoizdg+Y0DtZmwPxoTOi4M9aDZgKDq6qKokInJKqmZBWCmk17GwUajvD4XvAbOA1Rp3ntmF8HgvoiJ5bW2OC3QhR7nIOwDVpY6XLA4LmMIMtsogVADTBA0jwAC/61knfBwZqYlfp+wwEwFKIFIOG4KGVzcNJUyIIcAANNlufIWO6b7GHtY95G8XOFQ/hG5AQGdh7CeM8x2JpJfLiCF0mYhCdwNkBTixoBvyn6a+kd+GTLLbgm3M6nmDPMX3LAJqCbXTY15ODChIoYFBg4Hz/mux3TwCgtWrmejUbtwstCCtIEBk3oCeyOrMYx4slVq4g3lY+h3HWdPL2r+Y0nUD6RkWSppt+W3VCSQv7BstYV1REw4N64JQDh+PhcyZNErMHeeA0hajv67ACNFdRpiSIigHdHySL/UzWA+x95TzsC7fZ3ES1/k4sJzlbLXRBCJEh286h9B7x9td3fq3192JeNxqhZFktcKolcG3bAfP9/AZJ1QciPlnaU+kqMzJFmnRamPIihaRm/lMW0v29sRdIS9JQdGjuKUGcKUpMYigKv+3JY7/xZmZX7SWhMkX6U6WLIZ3Xw+EceOg5aNBCTu3jxp5naHUWD+zO759MkRC88XcNY3yx0swIeO1kzls1K51EIbGfg2iNklI3VngXCUSiORou1BJLXaK5bXIDc3m5x5MphZXJEEggtToC7CZt6ksinYcRl9JwViUaBSgxm1UJuR4uM521y+DploG5Fnj8ifbmeJtxXHgDP1Xz9+TuvRgC6Rw6clDSN1uCQ335ZjmmM7+yituR4qFQE2to9GNTFTRPYu1chEB4SaN+8ycOb3+jife91cdn2eZqZab/MxvLYPzbux/fOvyTD0Wdt9tT8Oef2thZsWa1i7ezb4NU0lI68gK8U+2GlXfBipkp9Uc8pBPZash5AvwU8C4XPx1EoekhDgJoZ+NcyqSHQcmdeluPW0WIFNSX2zpk2khc5ENQH+1cywYdXeTuaxWWtlO9s0iyrLAF3O0r9VxHUCmMIfuLQs3KMr63pxozTSfVJ/BMB891qQDHvOtQ2mJex9Cxc8q+a9ceBKZrX5qmW9z2kuRhb5eLfNji4j7qG6Q+xp2WYOSSIX1JQo6GrZaeHyOgLksZM+8qYPH7zm0lRmvx3hlSUnXGYszSG9bchRy7zF9uvd/GWO11kaIgslXyFH+Y3ZUF1q4/u8wMxBfWXm+qxQCTre5lf5nrg85Q9b8FbUrwV08uHgf69GyRxSnPgqQaOZT14URVKuYKml8sybbx3aRlHJv4HtG57z6/JLcWf3O3PbVwF33vyRXA8+9mwf2vD1uM//FO/A6bhNDYf/et/kWU00rz/l/6Yk6T5+y/cgx1v/Fnc8aP/BZff/jP42r2PyvjXylpcrrI44kKG//fffAHv/dBHzsoUqaFeyGt7peequBOYdvdLM+E+gzH3cQw7DxPjvAceDWHLlWvXNTQWM4wB/Q4S+odTMVgEZpcmS+ABP+7koVCHL8VVBBoYAT27TqyVHWns5OkzHecJGyYNtECYhMd/nuqH7UUQ8hRcP0YjH0lMq7rW4Y+brgWDB6yp8Be5F3BvogqVBuirJiaQJ+D9VHMnQiTgwaxByc4gTqt/zIeUqho6qzHY4Zq8hsbXl783No0yDci8lUxYPb0ZPlIZwkFrGswk3hXvk/mXsqLERLKWO1/bULQgScLl08urhLYhbzZT/amIZU8hG9qHwjGfCag1bikTSskyvEhUusjnfPcitRno4ktjIYLdS+a1q4Hw6POy8IPeVdJtp+7V0w1Mx/owOZUGrBpCoy/KtEvWpRr4Qa8Bnj/4HsP1flHuuhYTO96HwaYSTuiPYpJAsz3fJYBgNoU14XHctH2YmM8QZwELD1fucnHrTb6wxpFXFh5EXDNgNzWjtuH0+YppWKAStgsQKMNCJce91sZpngdrWHvMqlrylELxpBtYB80Z8DzEcyVrCTaaX0xuQ4saIfDVn3MawRzOHxpX2MFruZ2MPMESVm7WRoUBdw3YUl/YfrQyPEd50vQlIJ5neb4NEoLt1lwjIqOmTb9eNBLWOcIwlpDOOOEMZnR8nmCKhKv50EJfLJ1EMlyAUitjhi7x3ryHP38JMJ4oYcc9p7BmYBwhWFhP4Po779Kw601XYe2O9bj8hj7seuNVuOkdO/FD71uDTFZF1Y4g9HwEv3DsHmStPK6deh6bDs3g6PQa6OEQ3nB7O6LJOJq7WrHx2u2U93L82Lun8ZY78viRd2VwxR070dLdJi9w45YYVm9qRrGWRNMBE5fnDuJekgZZe1YSkNV8hd92VtJyL4/4bSW1jjKscExRd2Cw3a3msa48hM2VQem20H2w0c08/orqZjHovq0OZgff0WFwXIuDeMoaCc4CrurzQsGpXc0Pq85YEHWaWx2vIVa4R8ZzedxHVDsvw2eyVN2vE9NLoZvGDkFM5El6xpxvLV0/uwxAN2q3c3tkw2mTddA1oefxYwQE3XAdVQwnkGFwNXbiQfkGTuLwNyAcnyelpAUHg+IM3HAkg+q1dhfCqxIwMQtPCc/VSaXXQWmNw2SodvquUgefPc/vBzJxkcXbynD5ag3yo6fGkC0pyg2akDKibklFEvKzBvpfttyIT7feCv5+ESuhUDQYdJ8RCiZWHcOpHQcwEq1gEhWk8wa2qIQqMNGrMHphUOY2M/ON0HR9EDUqWmTa+bDsWAvytTRqtNq4XnfmNMuDsq9wpqT3c7Uw1GoOrKGutG2DWwfSeS5iYFoQQC3qz1apa6M7ht9uZQFksay1ypmF4po4bHkU4x+8bztrrK/TBO6KChnJZXF7CU0dorCH0OR+BOVeZggwiM557l1Cy537e9nz0KUK8Hh/Z0RBlMCgp2segdhU3BmO4DxOyF90YnIzs5YdJPIHsLo1L/2jo9I5o9WjJTCcUjEWIdJCGawZTb4lj/SpGfRp/rxXpPasEhjNhPR4AJL9hKdyEKExFcIGLc6V4Tkz4DmZ50hO5IXaPdUJ9mJXaGFb4bmEE7g/s3s+TUJZA1VNgLXcp8P9CNWBstqUWPE0aqEi082kgoJ7HHLhQFGoLOLtKUUZOk52/ahVoD36TYT++negHNhdjzw7Rwwek4SKkUQxXYUnVOjwz4GGX7gZEPk0PBcw4y6stiYImmP1Eb8vgH4yTLJ0kebu32sakeMBv1338+MP4S/K+/Gty6geqA1qDXkoG6gYHPUvA+sWjT0hgykAt941YjHAtgUYTOSUywlgZ5cN83H8jZ1g6xkG5jl+sTl5yo/JZOqF+sGztk/W55BeapNXXelBTzdBdTdAq1jYc+wp8EJD8GZgiHip5XiWsz7hGQhjFXpmAiC4BMF4vjUupJZ7kLW76/R77fBZBIwsP4UG2aU7NkYnId/aNWSd58OzqQ3XVNg876qAKuoPnto2+n1ZF2t34r6KJs98OY130rPIorVPGWPraTg1gXi1JsNTtGAuPStYxBaBt1jUqY1pNC7dn3Xxlf7TMzALeup+BR61ZYUvZ+QUBI31POZbSRLCKQuPq+Sgk+5FoYXT4y9OSG14MdOCatQDvyVIogXidC5eLOJFDG6v/HZGscQ5VzahJv958luHTMnnYXeQxj92uU8Fb4CUZpo4Cu0EuLtCw7gugHiR4mwkhlU4yKCslyl86WisgWw6gY9/+l/lc26Mb/T/xoffhwe+9Bf4xj/9CS7fug4f/m8fg+04koTbxy3X78A9d390zvyf//GLMu3Rp/fiz//fl/CJP/wVvPjgZ/C/fufn8Xsf/QyODRDWKSlee0t57U+x/Bl+48M/hi9/6iNnZeJR6o3LF3VRpFgoYcx7HDlvvzQF7wQJ4EOoYhwF9GPa27vsdbrEODIjyINIbOB7YJM8+GVk9/wtmp75GLaTAHiqlToxTc6R8jgGBwUB4yVQN0abIGZHC59Wtpn2mTNOaPRzmA0zuYrqkZjgoLlm41jBJcYpgoxw0DtbIAFDh7mqFS1qBL+XvRIfSGxCTOh4tEmA1u1w+cQkNXQP/WkSRqcdKJUilPZxaAREhAWdwVMQzyUw6OaQoQWDxteXAyFvqY+l8uR5d4GWCamIu+JrEaVzknfZg6+PE0cTFVTp2q0CoFQFR80ZHmRriRtQcFPQM9NoiR5AbUKR6ZUGwN2h58CRqjDZgVKYlu7FaAmnhkAgqrVsuRgv8QfmmpThfuiTR1Bxozji7JJaHvwaJmuA8E2etDbIScIY3cfBS+ZSDfzA14BFi7g8BqnlSRRqBh6f6cCDuw/j0UcS2PPdndh9341wi13o0MZwZ9+TaARt/MoBVq3y8J53unj3lUex3hmBoPmtdsU2sOAe0ASuHNNdD55boSgbgWBPgdf0cOLzvIdnaLBdf27QNeLcG858b2lAhhZr88nIuhUAPF0kFNSjpGNM+XMRa8vKiAtkVWl6Kzk2FAKFWoiHuCncJc8cvI7NgQMWEZFni5Ele/4Q+ZwfaGn3XbI9Mm4tRDYQi/v3JAPnYPFr2QE5CzGBf7HrKVGks4aM/sx3S9j/5QIuf/YE1g0OE59Sw8bOk3j322ew647tMJqWXrTXwhHc9rZOrOuzkLei2LdvM37/yLdwe/8RvDS+HlB07LyuCZkmXZ4nsDwRhpu5Gqk1V8IKrQqi59xtO1OIJUOYKLah59A0UmYBgfYsE7E2I2u5sz/QZGd/YFjAZMFO5dsjQc8NEha5jWD7j/Xfg587+gA+fOw+/MbAN/Bnxz6Hvzz1d/ifxz+D9TMHsBh0X5+MytL4+zpVxz9DvMNDJDpOgjOI/1sIAjl6q6RXrXHpLrYc6hb2wedgGLNQU2m4sdPrZXGexrCREDLoKDFsnB0FqF2erC8KbC/69X/SLswpYrB2O2dooXbLbl7x8yt2DZrGMfOmUbPdyPUj88LfI1xfKJyn8n2lDTaK6x1UCFTnGNX079dRUhycM9VuB1M3mrDr+77rwq/PGnJY6cflc3p4SIHtVTDTMgK1zndyfKPh/ds5HFX8G2Jey/vZBgAAEABJREFUmMFK3oc9AN0/PkN1RUSVUA7f3TBIzw24ttSO1HPGaXwwkS17hEdVMHjaSGDM+KhcAPRymilm2YEhMtI9H5YTbcUhp1MW1az6gL4M1K235Hxtxho9W148+ZHqCfACbz1ZOnZdC18rTciwWgfc3VBChgPLpbreIEzE7SqGTVNqpz9U9bCXwHcGxIN92xnwTr10t9wizQmlCFjLQLg2Uvu/AJ73uDwG0dllsIf7IvsDcw+jSRS4Vq2By+mafBE3hymCjk8VXLIXHpz/D2c9/EPRT9Pq2+PwYkJAyddea/Z5/Q3iCRnd37CtjIxosAifwimSFTkq2MZlf5PCQYSODkp3KYtBXUMo2N8Tl8kVkvXY46psAwoBa+wzJv2yXOTAP6kVzh4yJ2kQCxagAxmNouWx2chIl/tzmQB9GTiPVkfO1x7NmXvhGSVZslng2Ul6l7SUYhlm2MGRnUOY8J5FMVORdCqBvOxRgm1l8jPQ/+UTUF94jKOhPvMgQHEycCarVoEyOUztR4Md0VANexCWgciiRSEuJkzTrSCw0LVAcsckavV95SPP93OyNOH9J6T7rS6gakzjTbExtGo64Q4W+C2Yv42O4gWRw9TkGJSifz+gH2/xQk1fyjEsG1PU3FEuAwy6ayowMAAkYh4KJFPbjgcGKVnumSOue9L+48RSmttFqn7WJmZN+Y72eoZzdBoXbgyaChgwnYpfhmgliu2HT4IXHv+7/gzdt43QmIKXi/4YsphnOcfTLkuu1d+889odVOpvLbVMathZ/wgobx2zVD0FGu68TcxKvA2fmNPHaOrhessSD8Bx52oEgerRU49BseafPZfB4xdruCuOBtegGHrYilxNA5T6djJmcxJeYguGHUqngxcXyTntqE7OR1lOBJ1FGn9psXyKzHzK0j4eN8s0SPEi5wc7FRD7j28rLv5+xEN9+AQNI+j/koLaLKBFAYPYErffn5cacY9gO5mtdKqDXwJq2rgsb9W1LXDqU3dQj9yGbr3Zk+2ZyBHsvc/+5YxqANwnOZ355lW0MMt+foOR3eANEPYrhFkVZhJo0yy4ehjHVRWIl+FFHHoWSWRO1icCJr5k5mrgV3/23dj38nE89Hh9wWcuZd7DoHxHaxZrezvxhqu3IxpZWJeJeBS93W1zpr2FBlLK/sTu/di8vhe333gFNHoe/N1QLuMxAuIp+YIcygU5yzIn6elqxZYNq8/KqOoFuNRlrvNsoycc/zUcA2mkxVa0iKvQrtwgDeg36x6GBZp9yL/U4dS13MOjz5Ew8JwEUwWt4jFtioSEVmpkEAJhbwrjAxW4AjB1BQmlSpN3M5MtMAyoe1Cow0fB/gWJFPDUENykjjAxkS3lKkyVGqaiYntpFrFZB64Wht00z6zyq6cfSm3FybSBGl3Hhtk8DMr7YvcGhPMuYJmoeTnwoKTx46ILrFgCs/ka0jFBZwT49eWjhTKGKjVEVQXrEjSCyhRgwqngk/l9cvJkRo0FCj5nPRnlksDxk345QRy7wUdRTrqzmA0TEEOgjChyykKT7NmKGbMdJt1jrOkUssZ+aCpfKFCZ8SSxG0pKVwFJj8Fr8rWFk5UkuAis0MQBeRVWohv8LGXgkvWa1EB4zBf49jvXwRQRBB/DMXRIpnUwsh3logYlP4XQxP7X5BouFXqpBi6mGrCS3VCqeZgkGTwysgHPvhjDyZe7MT24CqWx9SRIZpGKWHjn2u8gpNHcsMyioKoBqX3fRagah5tMw+ztWPI2pZBDYzs8Gw4xVUsSrRCZ7xcw8ysQLJPkxiJzKQy+u6o/h+vK/NzFwEHwRtZNkaWvnwUIZs4Z1OnW5ucxPaeAgS4r6cElAXzuZBfAUxoRqKoWFMNDjEA9BkKalQj4fng+5ktgzX12ezQffGE/G1EHGbz6PDlVtTkaEVEjNoXuj6UnGXP21uioQCCcc64ZX25m75Kmo8WfmztHh9DljGBd6jhuv+wFvPetQ7jiLVdDbb8GnljIkC8uiEH3K29bizUbYsS/hPH1Q5fj8UECtYSGrbuyWLNu4X0vzr9UmBcbLr+eUBAqY2aoHW859T2wJuw9DZqw6fV+ztwRapeL+JUAhDe7PfzPsov/NuN/1JW1Zv1ckEBhoNnOYPvxI1vx70duxBdfvgOfO3AnPrPvTvzN8+/A/Ydvxo8MPHYa6B5WFayt96MjeUJZqOBEL6CqNRCuCUdLUsz84ahtMqDYs9JdbI0/UkA68izUEGCtegvxj76UK7zqYtIlw0rI58Ecjwogiu48Ce4Eoh9MpyFMC315P52SwNszRYXOXnB7ZU+eAEJ2ldrp16fxe+CUaKbXgvkl5qtjAw+DlVoYWKWkucNKu6gRkBJEaM649Dq6v+AgA0tYKmIy1vFM6S5nyfLbXLiw4KgmcmtnEFFaliSfdPz23bvoWTDxXfE+ee8zroJvlx1QSdhtTcCKu9juZkGPEcm9Oo3RgslXNJGTdPVHyBzT5ui4XriePDUMNzTfFiquXx+Gl56jfbUeh8ofVOkcroM+fWBBcXwdLXYem8wJincRI5mjt+l0njfggdUy0wFBO2i8dipAHixrbTAnIZwanq65uI8HZ0p5Jw3pjEfzObltqDRhOEYS+c3vQa1lEzwaI9XqFOL99xM1wLR3RoT0c1+UHrK4nwbbG9yaexFaZQLh4d34IaWIYO/3p+i8RCoPHhc+knMwTgtfz5keOE2hc3OiR3IYu4Ep17fR2ZLpR8wcwcSpAmqjw/JeAprAfeIpgYe+J3CUMNpmNSKj+1f7/VIbmZHhpSx9dFpGH9/ot3l72gfUg/lJsQR0mrf04BsG3oSktxq2k3mkNiTjeE6RHrIsCxj3ScELRxSF8/3hVC4zYmeRGY4DNRu1rQ9xFMyi/5xkYAlLFPI4cdkYavUFtFxmWlKpqt/OWTNdffoBhP7po1AKM3ATGbh9W6Vfe+YBSXsmSyEwk2k0JFFJObCEBlRjMBL+tfF8l8sxhW9icf/cpdo4auu74cSiUEtlGCfHJUHkwElMEkbwSLuLqyOTuCas43cyMTR+m+EoLRaPOTS+j0zKPGwdOOSfL5BjOC4w09QsIhEPOg2vrNinG0CFhnDWcmft8oCu0Q00t6f8KmtMwqlT/rkYrF+QcJaBCRoDS56FGI33LfU2zIsEPbdsRsKMYOvxMhRTx351Ct8xTuGYlcfMVE2W3rOIZ5GR58FK2YosxaOxlt9aslKeHG+3xhSwxj/vcS8JlrDa/C4FXvRYInkuqp/4VQ5wvbGcyf5zNSy3RkaeRfTUIwuyCprgeasyvWoQNuRA6Ap0EYf8HdsLFyaqa7rxvJlEuQ6IR/zHKEkardqMXxccZ6kZNNHClULj2NkA7gFIztrz10WB/9opELYFHp308DHieR4sePjcM8C/tTi450oX97/TwvM9DrLaAVglwEz7SqU8fPN4y9ew6ikVtihDpEtItGuolEmmoCk5kwEW1+OWTZwDGK2/SeCHlrf1hCcTq9SVsvXb5jcHuc8cOCSTJB4gIFArJdGlKjTHA8fJdTMOnESK+FEdqZEQRI0GQz/L98V+ujSGC2321BeRl7vhlqY0PvxTPwLWcneoDS1F99jTL+HzX3sQf/vZf8Mfffyz+J1f+QloqjpH+szzB/E7f/pp/O+/+QL27D08Fx+ih68qylyYPat72jHMW/Bx4AKYhWe/ACdc6RST07N4lCrz/oefxWJj2c5KWb/vabPeEVQxDgUG2tQbkFW2gl9ti4ousEmI1fIac+5+6S5lVTqvhplZj2r7FSj13IL8pvcgt+39kpQ1mSNNPqMU9vKoaL5QETL8elnMlHEmZkDzW38UhY3vBPs5brGxky3Q4KGNAHdHT0FzVVxdGJdkZncnPGqkMlC3mHmaiSoYSqhImjZ68hUcSjUhlHeglKowkUO4w0Sc2j/3l1JNw7Z8FmqMRjwArNn+vTGa0cl/UxuNgOTywfty/tH0bjxSGQYLUB9KbgVr8XAaG5PGpnu/QwPxYwL3f0cBC+YczyZg3PjDqSUa1DjOmWJ7oeFJuhC+AWU3Bj0zia7EU2ANf6aqNghzLGBwnKC7kW7Bv172X0zGmDkqL8fMrJPuJeu1q4HoyScAYjyOujvkSdau9SdeDjDTOhVbi/xUiBi/yhn3ieU8l8ylGnhd1AC1+eWuk4EMhYS9khnCAWszOlt1vOGKJrz55gTufKPAXe9w8b6bDiOk1sAg13JzkDJ4DPqJQWJRNZjr+2B1ZJc8pbABYdnw3BLcBhAcZ/EjvAODDwucuPfcWR4nEZ47gxuPwCwIGVYU3+UAfxyO3ZsinYgKnb2nmUHbHzM6aW5sFF6Maf+aLAL6GjNdCH+N5slpowKVLjkQZreE/Hk52Dd1wC7IS7ky3CrdwBL1edFL+PRBvFsLSS+DztJzDlawncy6PoAFJM463QBAcLjRrO+zcXn3Htyx8dt4/+1PyT3WW679UYiuW+e2/2ikX87vESh/9c2dWL89S6B7DFUvgfWXNWPbDp/nWi7fSvGrVmkSsAe17Kn9q3H96B7cS5LhlAv5i3Z4iLYDvP9peVhGzVnBdjLf7HTAAi+bh6ouPlFw8Zd5F08TWMdu2arhp09+HQy2l6wYoqkoUq0pRNIJaNEYXD2OvJnF7pNX470kdHfn+/FXxOuwkMgn257xhWz+vg6H+bVpw8hJDXdXTXHUnLENHxR2pwYw/IjA+HMCU/sFciTTjD2tICUehKbVoLSvgx3qmcuHswTc6VJlHlNkpNtdmJTuiVRCum0V6UjgJdBu55iYorODCc2QbgBUykDdUqo+v8ya2gyeMn/NfJ5eGJSge51sSSfQ6D8T4K6DEAMAFlZosPB/vF1NOTSN0d6jiOhtfuQSNoNNHB0VNGiwp8FEaZzhN08V4uC/U3bxTLWCkzbdp+ph09YMeD96GnrPCLrzuBoZ9svXCERF/afnT0mfmaHOKH2+1XZ4NdJjHQgpC9uHn/rK7GKkBUeoHiJUe1kxKgGfoCStDqC/uXJMRt1pDoBlJBlosOyY3z5V019VDdqBE0o2UPleM7MWu8wRMPDEfZL7F+/bfm1IAQP2AdhuR1vA7cWlMjw1QnVKHZaehZHrR2ToSVkY58vQXMALagyUc+Q91M/ZvVU3kRl7nr3g6+Itad4akUHcQ+2Zgfnfz7lyXOBY1vRkl9Ny5Tx7YUcWKlPxtfB8KmjuXRs9Aq02jfxzTyO752+QfuHvaaHBz8cyUn9920wGTgM56WizDiSiYOBWH5mW52i0OE6YFpx4FL1t3agSGFeqlqFO5+Fp/hwmSOw0phWZjQFHZdY/p9swLwdayVv0+fn80ScU3PdtBbN5gRaqTy6AF3fZPZ/GySTQfjyDUFmFSBK/sOoIqJpWPMVk+hQqCROa4o+JRX0ctQw9rHAEmhMFg+wBsO7seAOsH/sVWDf+kCxTPbgHyM9I/0qWqO/frqpp8AdTHeq7yKcRyrHZOoAAABAASURBVPiTwrfuU/DtB/165XJCtt+mK2aOekYJlZ0+wBjef0JuCWTVangiY8Npr6JP0wl90MBv1qdVF6ys9mvpHehZu56Lwu7DL0rXJFmaNac5MCfHEJ8XffZl6KMzGCXw0TAEQjSNj44LjI0rTIr1JPPEY9J7mqXXF0tnlhj6xsZ88qw/rPuBc7ADPmRX2K+LIGvXjg5EWtPoImD253d3467YWhzI5lD0LGybyEqyQBlPBs6nNSH80lo86RY3EHNKvuiAih1U3dmsH09Rpx0sL3LkGNUtu8uZgfpCxdo1y1GcOV7PD0qi0OSBuXGBI9RaHo7nwrN1GtNseEJAFf785R18HPzTu6/APlNnL66ltiA9S1hmwb9XjbqNq4SRyhcB18Og7bfpJbLIKB4iGSSP0rmvCfn1uSUt8F8NgVRNoH9Y4O4THh5tcnGwExjocTGU8fDUthL2JtMol1Kwkt2yrL2mf65Oei4O1ZvXNI4otbeIaMFMvU12tEnSBRa/ccBbJrGSR7AwtIBgUSBa16Wp0SLDdrpOTuYtcZ7d7fcRBvC5TI6fHW+lhXQgYQC5cAr7Nl0DN5SCp2tITIehFSpM9n0xs04N/2P42Qtu/veYPwatdNPvf/ebMDI+jfseppWWJQh5C5jdL76Mg0dOIkFz1D984V70n/QZ6K0bVuOdd96I1avacWpkHD/5K39CWLJfzq037JTa8//zY5/Ft7+3G3/3+W/h+ZeOLHGG1y5Kee2KPreS9x7ox813/Sp+4bf+HL/+kb8+zZQr1XMr8AJSWyhhxt0vz9iqXAUdp89KaWUrFJoOeTKsoT4CYOHPCWdQWP9DBLbfTAzlTjmYsCYGM31MeZk7jkliJDRiR1tM/1UyEfMHmoCG6RqNHWuHHW1tjFrgd5M6iQk22io1uFoEcU/F+nFf0LFbFjB64F9U6GDG7Wg2AsO1sDE/iwFFx2QsjXDOgjBNKNkZJIkxY8C9Ut/HfUTz75lfXz5WKHNRuLktK92vFPvxR7lnwR+D4rJ/L3slbop0ybTAevwJITXfODxG6wG87xYD7/y6Wq9OIz0lDBAwUAhZ5AOcaU+6i61I2zZMmt2wPIFE2zBaIodIHAbshublhHwBTwmpMruoNiTKmO+/JWjA1ElY9NQwGl+r+v5f2Q/eFailKYjiNEoVDUNYL1ewDZ8PkTfb1u6hYqQx6G2A5zrgbWXix+4HGxbK2FzSepdVdcl6HdWAMX0ETc9+HOHR55a8ao53VQP9tV7Yno4rL4th62YFvE0MM50snDGjz5lXWhRUn34A4VocbjINczVx1pxhCaOVFAjXgweaqxpA8CVIT4vKH1NkHIOb4wQUysBZWi6B7AGpZxhw1JIMag0a7veXB2TcLmP5ufZIHXBfpQlJG1ihsfq1pZaeswK618KtTglUVRtqCIgqmjxFsK3MI5UhMBjC2mW8CM5zvyQIrFpF+rxkRrozJMnHiCcQJLzrhl+WTDgHKwCIeP/TYIy1SPhargiv6Rpcc00GHdf/GJy1P4Va4qrlSM8q/opr0rjhllbsvKoJV1ydPKs8KxFt25kGby1TtSLoOFxEyizgqyV3LktrfS/38ef9NsAJZhEojwLPdZCA2QTsnD2Ej1b34m2GhSgJpyyk3l3ywGD7B45/A0cPb0HJiiKaiuHN7+jAW364GT/87la86yc68WM/3YHeTc3IW2k8fuJa/Ojgo0jS6hOD7gz8r09E+ZQ4MluRbjgyK9uCaZJAO7KwnXoijHK5DRYtONVOTWDyeYGxpwSGH1VQO3EK6fRh6E0hlJveKstyVL/+FIdAYBmzskVDiSRw6Dzs6al/fO1kHXC/fkbnaLwj1kf1oEs/W21cn9R1xjQ/TnFMjl5g9MKQDFvJVdKttu9EbttPgLWXGQgNgAmZuMgKAHdbbV2UsjCoi7iMcAjwkZ4VrHJoHC/v+h5mOgaREL3LUrISCSf26n5dsr/RMGjJQJMg4O4bJQcFrwLuq+GwhvxlFgLQPTqgNmZb4A8PqRA+XiS1NNWS/9x14i+ZsFF+UHM2khPN6Dx1mZRnOP18mEEaGz1VR5c3i4hbhkluUC5rm7N/WySMj099G7dmm+HxgMWRDcapyzlqXYuOQSVOdo3T686OtaLHzoMXjJmGAXPWVGewPXXwXyU4bqbXzoHtTOMSaAJFRa1pEwcRHXqK5sbnEaHqagTRBx2A+yj31TtzL0AQMG4TcM+Z+K3U61EEn48B+k8UXLDL4Y+kVfxqUgGDTxz3LTfBWbCUMlVhww+DlbHatnaD7+/A7EaqkzBd9yxdl78QEOy5zYUU6JkG4zsv4nibfaAqtMS2MupMgbPA6m1Dr5bAcEqDRTKnWqjCDcskqEUht+7gkJl1oQV5Ovy5gM9Ron4QI3lxc8iPMy1gnGQ3znPkiEAAhgZvcXD8mYxNIOGZaDjdSURgVFW0H45DKIC3dj9M25c7OX2xmSb5fSZ0Epqtok25AYbVSndsIt/uj4tC89sQa7Vbd7wbNgPt/GYXzX321XfI4vSvfkq6K1nKUL9MVkWCAHcTlghBFFIINwMsyw6HZzCgzGJsjBoVUYaaADHWBbsmwMp6VkcTPJoY9bEphJ45gGPUhvd26LgpUkGyFEGxPwbHFCi4Pj4A+m3u2UDIg4rUeB4sa/fXNafbWjGn8Rs+OIDIvmPQHj0g5exo1ENrqwcS5zE15UERAizPU3FLHtk0lWVA0vNzbiQaHffvhfnCxviz9Z+ke2TaXs1/BuwPTGzzGumNHjuCd8XX4gPrN6AlFkVPNY5bnC7w+CgJzqOlUl+iBweagmEZNPFQ2W7YAy88kRcrjbWcHiw8jNQXIjhuseE6ZJzDoDrNNvnnWExzWpjI9IYFU05v/CZgsIDK8UptFpbrQNgG4R8CnkKdhBJY+cUzZ2ETX1DrvGxuHLvM8NOJ5LSjQjwkR/IWeaaWQaZYhLAcFD2bo5c1rEDAid3qNEbdr1B9jnAQa7cCHxhUsW24gl3DwPWnVNxBvMgHQwK8uKmLEj7bcQVeMK8GL/ZzpqdqgOcKdNf5/OjqGQgNCItWTM8wBZBeRqHl8u2uJOj313OlfzkrkvVTKpMAv93UpQrUJgWOEL/Gz+qyy1yEZgQInkE5l5HEaZpc3XAaQ619sNqa4IYNGNSGevekZPr3w9KFimtjbRfcXFHf9m2le04lYvjQB96OT/zdV2DZp7ehn3zPm/AXH/mw3Iud93FvbcngC19/UBbJ28T88gfvws+/n/L/4a+Aw1+791GZdvmWtfi7//MbmJzO4fNfe4DcWUznCuikZyIJLoC1fC+6ACdvPMXf/cu3wPvrfP5v/ruM/trf/xGe+Pe/lvvt3EYrE/wQZMJFaAVbyaSUDSQILASKg8vVEUNSrAf/Rp3H2Tlr40RbJO1mcxJT6TSYg8jaQ+BfUqGRhjyeFiL73A871YIwMUYJy2/YWRp+N89Ow1MNmD3tSxbI+6IdbI2ASHH5xBQqroNTmQ65rYxnm/Cy44jSQMQllmoq+kpJHHdnUd8yFGWauXkrmbCqgDXbv1rymRAWHPiDUIsnyYOHhNyHkAe0H3qbi8u2e2A/T0jfvEfB4ZcMtLtJGrAt9CcK4H3cPWIIaZzD4h8DQSdKN6DgpKBGZ7C2+Rl4BBAURtw5Uk+t1yXdg4w0Lz7AnRl3vjabBrC56+WIS+a814A6fJjK9DBjN4EXlNb2zbcVSkCWumQsBozo61DOEwNTzIOBRjYslLGJH/82GIBn+nMxLGym9/4TCXZLg57nUtYl2ks1cC41oBeJ26UMsYHvnfbWhiCOMjL6AkpqEs9XLkeEwK6ONp2o5w+mCUCb5RYFmcHXBwahORG42RbU1nXOF9DgYyEnxMA0zTWeU4QTp/mnIf1M3oAxZzoGChnUZP/ZGBZw2TCtQ0C/S6Ay+zXVv1+ewxhc4I+lBuACpy82Rwhw4Lh1Gtu+0UlA4nnKoSnHWkYg8CnPv+0QLlmdBnKhihROGBzhs/BbbAzanbQLeLQyzFEItN5loG6J+uvxSGTqMSAG2ZB+o679IwNnabFGZqkEObfz/qdNWT9jIDD5ocD2Xd7iodh0Jxy9yY84D/bGrUlcdW395OehvFvfRm2apL+xiW5cM/IS9loeAk3YaIcH1gyzi/QceJqh8+UOC8xSNT6zzsXq6iB2vngCw8+O4JZnvoS/GPkKfjz/IngP6p8e/iam+7sxW80gmoritre2UN2dztJf+4YkVm9KI2+lsefILvzU0Xsk6H5vxUVnNISMroO/r8Nb/akEbnCzdqhBFgYEXc38we0lP0yTHUW1X55D804PLZty6FjzEtZs+CYY17SabwAD80Tyig4tTtkI1DSdJLqLU+DfyXSSHdxSiuP/Nt+Mt8Z6ZZit0JFBtD30ErR8CSXKx3GBNjv72fAcKpwq8bRhuCG/LI5nv5Vdx16ar32FGRlYZKnEu3KUY7Sys6wRwh8PLJSWpOH4gnscJ51vYdh9CC5MhNEKBfSwl8wBVOqgRYsaXoYCYKDpqlAnysTHekR/Vdi/Tk8DClts0KOU4KgcPxeVwmNPpK7dzuA8J+s0JrGr5X0Zw6prEXKcmDLZkeO19Jwn6yULVB8K1jkTEI6FGnIIfrwgwv4aAd3Org+h2raDg6cZp/5sA5BJ2IFsdHrdsUy1ClV0WXQe18HPJwTilQkw2M5tpda8BQxqe4EsQGdzuIGT64ZT4DckyIvYwMNSc5Q14xk0Z6D87qLLSbhGrSFT124v99wCLpPvJTr0JD4QU+g+qS5dFwz0/8+0giZFZqOw73ksvAp7jA7YdfnPT/Vtvi6+h45tq6EQ6HvS3Yah1T8hE5nvHB/Ig+Ujo960eKuSDi8h01mxqbSpU/pDR4eIp7WkP7CME6PSa2fi4LmAAfcKtSsxnYOrEqpHqdxmuO1YSQoT+iRMi+bkKIJ5cimt5GkC5hjApexgsJHBfPYHi0rsX8kct2bxU+MP4JOz+1Yik2lunT9oGo4hI7rh6SZqrUv38bI3BP7umnAcWhTNYPg7zch9tw+uLTDVVZbliY6tYGDduuvn4W6+UsYFlnPNHWAgnjXglYO7g+glXf7wqmaHIEJxlNMOtXkVykwbdBr3+Fsq9/U+i2+teQon69qvDPAph3fCoyZV8E6gFndh9vj9e3piDHndw2ifijWqAWsyDmX/1TDzAkw7dwEEnq5KtyJsuXjh5CHsHfLl2UDTmumCZ65OFxC1q2B5Zl2fx0lQFIFY3MMS2JdMZ2uSnq2isA+YmRa+h2ye0/mZc3msgEFR53wEb0rsWvThXS5IbN0Fmr7Qlt8vFylYKSCbDWGLkcGvzVwGYTPV+TXqjAKXxtpZzYXhD/nyBPzWEntCYwqU6nwdcFyjYQyC+yX3yWKpMWXeHyyKnMt2MtHjGpIvaTAm/Qeh5wfBY1lQamToqcBL8SYceFBsDXbcgdAEdMKocPwFapMWKmu6MGhZtWuiAAAQAElEQVQ3g3+L38jkuMAwT2AT70LND8nV1Eao3rOlMpXrYpD6U0C3lBvww5eF9tKVOJh0n4OFElg57caOz+NdRwbxn3IP4i3TQ7ia6vxamvbfFTLxzsI+VEMaPtOzEf0HFJojAd5n3ioAW6nuo+2AvmFQnjIsWsBvbHCgneLZXWyC+IFBIRe9Fqc3hvkNQA6X/SESt9DUYrysgIf8TRs9lI8D1mEBc1agkmuVc3uf4VKduuBxzuIFSd5v2XVpbqBOz4V9H0xU0fCRzqsuuPnN9p1ndbc//s7bJRj+pW88tCK9pqro6+nA8VP1B7KIur0li1LZ5wM46bort0qg/h8//tt4081XchSuvHyjdC+EpVyIk5zNOY4eH8Jdb70JWzf6W6841FkZZP9PP3onvvv48xifzJ1NMRecJthKRkWMJvYtK54/q2wF0zk0qORd6pkrUs8nWoluGeAVykxLChACzaYKWpeEbthSkGAGDK/gZ6ebYHjEaJRNZCpx9JkFtMxUZZl2w/7tjUUzE3Y8E6JB0sO2mSnYrocXm7sRnrSh1CrwMhMErnswKL5iq6jWdAm6a9F5xu7NnU2yyP+X3yddBttZcJCBBosnpEBT48orXGTTAO+Rdtc7XKwlhoAn870vCbiTNPJRPlurYUwzwR8B02eXbt5d61dBarkrFuKpcXQkD6EyS5nrh1tn3JWQKmPEWbwqCEl54Syjvp1Mtf2KC3fS/6BnUidPUlsHtZlW6NRmenpOr4j2Ng9T0T7MjkdQngyhuOZN0rBgVmm7Ep7pkVB/4JxAd+HUkDjyDaiEirEQdfpZL8VcqoHXrgYagav4sW/T2J6fO5kxfZSY9iqOlzsw7rRhS+vkXFrgCRYFef7y1FAQvcBVH/0mdCsCN5lGbWPPnMDeSMRCU2K/DnY9AiA9dxpuXaBupFvOXxoWYMGAwTzWwmG64e8p7JxmmO7k/SpOLtp6ptbbLgEFJ5Og+c6fxxShy/xfKfkLxou3XJGJDRYLBRxcr88LY0b9tXyr2eWkC2qqk/511EIWhOKhWZ1fxAgA9nvLJ+U19WpJ6S6war7g7hLgw/HTBLoojgdBo6Vu+GVz/Nma0br2I28nw3liMY8dlErnXpbMeJFYsbiG1Rv9RYnEYRe9pSHwlhFT9UfeutP3BFru5RGBe/sc2FTlV+0/iMMT67FnfD3+7ei1eOiFbvTsH8B/O/gZOEebMF5shQ+2txEooi17xzuvySLZmkbeTmDPsSvw7iP3YKLk9+f1Kf+59xfKEG4OSthDpdyK0vDC4iafVzA71QPuyq0dz2Jt7+exce3fYu2WbyLVQfkyrajGds1lclXiVSmkOv55yHvGwyAZVBBwbjoxrKr4PH+g4a7N5JHhk9dLYZAv9swhtFoqhGUT32fIFEHzpvTUrWBLEjvaXI+Zd6oErHJIy/sCOvsbjeLMUp1U4dC9eHXN+8b0Rn8IxJwCBGSUyJ4/LOL3J9xncIqAdv4Yo0NhleQF/sZTi7r8GxmNWsIMJM2XeLrvvbFWZBQa5wjEb3zLhjUvK722zBA5qWExEBQd0OS4ysBptcuRdMaUAq5D1ZyVcgADuzKBLDHp35vuLD2eE8krOvhj0qzJvbk2CYXAXZvqKCgo0FiXfLlYfiwIrlPQ4oqgNqCW/TnJXgKw5rKtRBd+bfYpfEQbQy+dtxFsL/a9mUkWmKB8vp4qAQflrmtlOm8/w4s6v5pUAALiRkozUOj8t8y8QPVYhUXyGy9alLuuk/Shif3YOXAvfnvoa/ir/MN4a4TyyRTfYuD9rdQHBS3s/kvi8gWLRD7FQptBOY45MZGSoD77DzzhAxAMArEmM8fNEBAagNxj1OVZ25LjjZNj7EjDfUqra6ubvW0yzmhvla45OQNexOEAz8XsmjRvqXV61ojnODYHzWl20DhvDA7NPzsGG5vMhKThb59Izxmsj+f2SopHqsP4StGfc2XEMpadpQGU0lpy3VBpPLGbT2DG2Y+qN7HAjLvPAraHtuNpGEdp3JvWIWZaYVNTLzab4A+pqo4BBtZRn+uo2AWHc83tMqw+/SCwnLzI8bUKVDsMJ6yi6E8J0LUoGLAcKFbhKf6c92xuRpYXpQVZUY3CO7FGhqfdF1DeuR6T1MYn3Ar4o7Z3ZTW4ZQFxfD2UmRa4o6208F0GL+7JTGRpHS1oU6PomzDx+dSzqCk2gu1k1Ok89DH/eVkW0EVoIm+/EWikp9MeYlEC0meooGWOh4mfGh8XKBTFnEYxkwZzeu8qDp27mXAqUpGOlQFaGviToCS3uw96UwYRiy5u8JiMLvf441hoWkX2SQOp53TEjmmQ45o/FOLV/ASBqZzformKXWnI4rE20HJPHPDHVYpe8mhv9Z8z98mlCAZOCRndVqeTgTNYRh1oD43744lanpA5GCPgxULVpOdcn+cEtR/TdeFpdB4aszQlJmm9A09KV1t7DY7W62q9LqOWtKyiH80LRuEsoCbDiBAoE6krKVb82/SJGmzeSovfAgoJEz1iFnaB4P/SKZin/g6snBYRI9h51bfQktiP9YkvYcPah6CpNbDccVfhRVzhzWA2quJz3Q4epKGgUAPaiM8P06NPXTsGyytDJf7cKqWJfwQMA1huwYfj2/whDqP+sNlwpb732HHgs/+s4AFq54PE4VYdARLLETmlQqXFpnwUWL3RQ+6IAk3xqI9TOvXJMo0jHaqgBZoaBuwC7PYm8M9NUAb2XDJL1kA0Esav/fx78PizPj7YSDSdK4C3nOGtZf7920/gn7/6AG685jJJ8rFPfRn9J4Zg2Y7cPobT3nD1dpnGFuPInPZy/yl89P/+C1iZe8uG1Zx0QYxyQc5yFicJNsjnFYtumhwOHxuUubJpf9IcHKlLYzL24rGmXH9/vlZxNZQVNFWCK86KLdI77S692i4TF1k2MdMcxQNoppNGNRJoPer0giJ1w0KwBQoFz/lwYkmEafKN2xZWkaBzRXFYlmF2dcAzlh5pNxsZHGk2UKUl7bXU+LO1GvqzHYhOuYBlEsufQ4guM6UBjudhphhCZyWGWaMky46qCljDnZkm1rZoViJSS0cmNlgmTf68bQyN3+C9sdatnU806NJuuM6T8RybnaETkqegVPFyuISq64EnWIo67WjvTmLS3o6Ck4KRzUnAvTbrzdE5Ib/NCZVrmKKJSSL7ojnU8oT8oK6nhsGM/EVzYT+gF6JNHqcJU8OU3Ybe1vICrYbglnu6gelYH6adLJxZmv2/8Dnga/8K577vwPnil1G7/xl44xPnBLqzZjyDBWJ2BtqMPx4G5/OIWQr8l9zXfw3oxAjHj92Ppmc+hsjInovihgLAggEDZtAZWBAEJPDF8QKQCwuHC6sJkAI2q3s5eoExZo7K8HLbyagvPI7oqRIMKw0vnoa5qs71ylzzVoLAduK1wRqYlj4uEzzmoKXvzFaxLryk13tovsIDA+8kUyJ3eGFe1nrv/5qC0qAnwUYG3wOK0hu2IfeemwEhYFVN8E9VdZQ9CwwYsEC43MdSmZa3GSjTXJglUCxSn1Y4Xq8LSfxaPocvpKmSjMrns6I2O4gKVbpsBdvKsJ8Nz/nsNhql4AvpjSBEzPXL0kM0QTcSn4W/v77fcHeXPxcHr15P1U9zFkVctCTbdiYQI2F0LN+Bqw4ewAzxJ6xhzhec3gDZJllTjLc7etRzMZQCbpx6DoWRdiIR6OzLQI9GMVRpx2PD23D3oZtxaKobeiSEG+5oA4P6RDh3LPYwv3T7nVmkmqOo2gnsP74Tawf3grXMrmqik1GGI/kKFGcW/LKki7AUKLlPUJL0T5HsU660IpQGLZINSOMpYdQi21FM34V8808z6bwR4Xn/OfiC19ujJLTzK9ugPnMykQCDgQwOBUXxPsYc12ZSh6L6zBMdpym1AjtzRqnlpd+p89EyULcYRF0MRtSTpKOZA9J1taXHJpnYYCl1GcCqA8YMeg07DyPQOI2JLrQrN6BXfRsSyhroiGG53ySBIpzWTHweuyuZDi2LDyR0/HA8hMVv2TAIZCU9qMSWRAfUuWKUqkB4SJHh4kYbVsrvdzoBSlrJB2vsaLNMlxYBglpNhYAGha48AF3xKn8Mygw5HqI0tm4s52k+MVFzc3OlBhrr9jLA+RwheQIavn6lPld53KApbfFhJVehxSlhzchTCzTblwLbOa9bLyeYAytd1yFoO9GhJ8FA+fWiBK02i20z+7Hp5L0SgGc6mZ/kilp2AzSSsaKnHsd2cwxNk/sIlKcHwwQN5m1qGc1OBRNanBbn3IaU073BAuVRGj/LdE2HJldjdCaCeMTGls0emrJ+HtYqD0DLMbuM2vpOmRA64st8HNCmCrKf2QRWB/JfWzTFSagU8mBQUQbI8ki+q7U5ME6MUgiwM3HpsnXQ9CeXRq3koz4eCtZ2Zpr8mIZeLcFe8NtU0rOMdV95AIGsGBM6+K1olh+XIZfRbn1R3jBDiM5ulXETtQPgt0sajQsT2YkkWg5lkKv498ogtzPYTTKwikK2CrVUhlKsyDKWsljr3dm8a8E+74vplCG/AlQtjYmeWTiKLoH9MAvKRDyq5Mn2j/vcft9DNgOZyrGtMMfiBD4PYSQ6hIe7BKUAfZs7kFALsGZCECNrwLRiaDXMvMC0d0DSsFVb1402krPXjTnIaxWc2nRkTo4JFlz4g6yWJdBdHUc67YKByLe80cOb7vCQSPhjQ7HEpS00HFeueFAUoFAATg3618ZUY/WtcYI5nePOxSz1psTi/OqNt8moaH3vcW6jpT4HPOZxG9VowZ7HOQbBM88aNOapkv6VWl6dZ5uNOKcVwWC/EwL4nMm99Hzt00hkRFubdDCwUKyTkYx7BG+nLKXcJYkWWTyW8/jO0WpRYQesoMkeO9KMWssW9pL86eNOTpXHVw/CMgAad6GrUGjBwqWFMu73SudlOEWLUKDfegblyV3qqE76seEmz/d0EG7kKOieojHBrWJycDeNga6f1mDzG00c3G6MwqX5OTk5DCVXxKRuYSSeBSusDXT/OgZz10Gh62tSnkfqpbsRrr8x9BNxgfYUMBvy8FXTRY1uZ1VBoGkbnS7jywhpbQ0CAD1Y4MCin3rsAPRv/hPWrbZkysGXFek2Wty+n6nv0c7P5QQtMjxN5/vG/QoOPi8Qo+urrHdwwITcCpDzxjSP7suDU2pBkyrgwoKv4Z6lMYXaBT3k4g0+SMz0l8zpNfCut92EbDpxWgJ/DPWO9/463v6T/01+OPW//MJ78f673ijpntpzAD/807+LHXf8DH70Q38A1mL/qfe+Waax9cu/+5cy7f2/9Me4fOta/J//8WGOvmDm9NZ1wU698ERd7c04cPiEjLz+qm34m3/8Or772HP45Oe+IeM29L3CJVKZ+7W1UsoGRJSWszoJM9kqYrC9MoarL51VHhYKGFzlFUrWANKF/9g0yh2J2XANHyCm4Dkfsuywh5BnkxBQRt+oL91aq4aM0wAAEABJREFUbfUZYYkSWduGGaWDbSGEXco3W8TLqRaotovQRJkGFxNKdgbtVK7lABMFDdsKWYyos3hbawI/19cBBiqCfW9/IUmj5BLn2btXkauTsRhw2WWnD9qcJdDuSBT9OnAMCyeNClwCJJWcX09Mt9iE27Zi1myBHivCCJVglefLD+pThFSZTRRmpHuxWLGTD8tLqbTvgNeg8SUjL07r9XtVtNiiDb8MBwpydgrri08ueS+8jzsnHI1dTW2vznBSXgallJlxuFUL1eeH4U1MEdNzAAyuMv1yJjz6PMKjzwG5WXjT0xD5GfBCC8jVHvgywn/3h9Dv/8Jy2S/Fvw5qgIGgMD3n9AufQfLQl2W74Ms2pg6y8303ipmDhRLyfbfOAQvx/vuJkR+EXhhEnsCXw+Z6xAl5WRU55bdPumpup9y+mYaCc8w++wOj5ktIffslGNUY3HQzStdug9WRDZLn3MhJFToJjyw48fYIolqRafYyb1/JxEVWAKyXabFMRB00ahQHgCK7J76lwC7OZ65NiflAg89RyjKkaQbuLQ1I/02RTkSFLv1LWUctXyBp1BbSaX5iIYnvzSIBd6l8r2VcbcovfTbm12lMmb9+BtibSUBnCgY4eL5n/5yhcYj9bsJ/ZtM1i4PwaoZ04wlNumdrjY4KlEiY53WU9na/rnQSpjg/ySbsvK5NLK5h664mugeB3FAHrpl6AU/XPOw1PUwR6xG0yf79Ak/QgkNUr6Lv2AxKVgQtnXHceHszfui9nXjDbWm0dCdQFSl4ehS33tmBbFajcs98MOh+21tbkW6OwLSiEKc0vETtcl1d24q/rzNbnpIF1RwfYC4PyyBGn1SkJ7y6G3Zs7RzIPtP6qyil3gozvF6mN1qeCMugYs9K92wsg4EdTYPpkqBF82eTf1oEWu5qoSqLYfAr+sJR6WcrRs1vWguDFTxUc+H59PwpJgEDD9KzyLKy62RMaNIHI2Sgbum2Dzy7Wroes7JjwKezvBymvBcQaLQnxGqsIpC9TbmBxokunM1vwvHHmV6d6uIMGQxqDz26wBsitSUpGVDnhNCYAp3GHdAvAN8ZkGeQig0valISwiM+krJgkSLnX49Wf67CFkz6qg1rO3IhXYqDpqoN3lLGBCEaAPlrZKpg+cclwBpn+Ll1WYjnIEELFo5B/WQZHpllHy6O5ymmrTVvwXJgO9MF52clCA6z4Q+q8rXxAjTP5T85uxs/VD6Mn596BDy/a+VxaIVTdA81yG/5TB6kBQW+R/+euAxeHGCX6aOnHiG+73lo5Qn8Vu5xuDQm30tgJo8RTLOUaWvzECMZibXGJytJPDTla1tf27oH3OfbWj2ZjcHPnjrA3V/Nw+xtk/H62NQcmKyN+v3f7uCxSiYj1OnT1aam6Tn4cWxzu+G5a7FGPIPnvMVaM80fAcA/SuM7K07x+H55fc9k/pBrkL7SPu5lz8JXiz4AzbLi+xO0QkkXcCbQ3a2Pa+r0LLTJXoiTG2DUWhHGQsOLYC3T61CbFHBoDm+/1oNqAN6J1XCpjU+s9+dHbapAZ13+sOt7uasH94D59MWUyuQI6IEC4SSmVhXg6DoUAtKNhN+PTjrFuSxFkmFfqC9o8/WIahTOvm3yevabz+Afd0TxjTvXIdtWgmMKurf1iCR1dL/RhTKyGk4uBosWVXjBjwsN+KWbxmOI2C5eSA7gY7kX8Mn8Pkzu3Y8xt4IvXZlEyXbQUp1CR7TC2cD7uCfiHuIxGUSpKHxPgz066gcCUH7/AYHdexSaYwAGKDk1GwCyHDgLo5SqSN73LKYGT0nqXi0p3aUsbXWfjLZpITuod35bJ3+5hZmrTOS32yj3OBKAFzYQO6Yi+aJOiyin34ssaAWLgW1RFqBpE0q9ThrJeQzNX2YhAN3jh7XG5Dl/IC/ydicM6M4lkCfYTiZDUwn3X4o642FM1SdKomSeUqVFBr0wRCHQfa9CrdlfcOJxiscZYdcAD/I6mUhT4wDJuR6hN8VNqwHRIrdpAf26teXrqTbjnzdUHy6iHaDxTaM2VobnmnCmjiI0eRCLf8z7cNxq7ThUM4/khILwiS7id9pxSG3Fyy/1YexpgdHKdRjp+Am44YSk43GR86mtW/FfOhQ005znOYBL8//OCoV3ush7R5gECaUbufpcl87IqNMs5ekHoBw/iPX283Nj6HRuIdnjTygwTYC14G+9yUPfahe6ENTUhIzPtrqwe1w8UWdHVAOIq4BdEajOtqKT6i+tWeAFQ16ItDP1tizoASw81X/o0He//DHcfN3lc3UQosb/6Nf/ChwfRLJ//8P/iMDcc/dH8cH3vRWq6rfDL37yf+Cpb/4N7v3nj2L3fZ/CH//2zyIcMoLs+OSf/Rc88KW/wDP3/C1+51feDz7HXOIF8PhXeQFOdKZTvPuHbkGwef0v/uSPoFyp4pd/7xP4t/sfx3/9hR+lAT9ypiK+L+khZJGpa62f7QW0KVdL0mmrXwIaMnAGy0p0SYrN1iSmW5uhKALU58l1aTBKybRXatnxZkQ9C+FqAVdMj8IjJs9cZv/24By8j/uRTAQKDdC7JicxoWo4lWqDXrQhaHTSOmaQ1gEBYLaqoL1Aswf5jRYPq1NxfK7wMq3WW1hu39tTpwQOHAKYQbv1ZhfU9yj36Ucm68nIRMEXSljbUEsK5BQLZtmbEy4kUYPV1J7EcLGP5xxkO06iOD6f6Ib8+lRCqoxksFN6LgJLzw9CJ7CLmXx+VewiuKQf6EtQTh2FonnUThQUrDS6Rh9b8n65ffKEfLTlVhy763+h9su+MX/sV+A1dwIadYZiGZUDU2jUdBd1LazGQpkhYu122DbMoSIcU4UozyL0nX9G6J8+CsnQ1ypQDr8gtRIa817yvz5qwJjpR+bFz8g9YJnhdAgoKHddC+7XzFRyG/h+3gmf30YZOdfDSe1pTG96K/gajVw/Ekf+nfqDh+fyG2n+CmFbkz94RgefBGvBp/fdTUy2r13FY9TiRUHedzl19zehVokhb2rCzE/9EKpbe0+7XZ2Y5WhdI7Ow2YZLC7gq9SEm9AyNnTOa0rCg/gMUIlX8rv4oPlXYD9Yo5n0eGVyffI6Y5iIQgO3hLBDrpDlFcWW+pU7gMHdPCboSRbBo3LiNAyWddgw6VCbFdquCbP/QZn0/Axd+zIW1iyP++fOJsjxxs7qQx9oSysj4njpIIwN1S5i+QI5QuB7jOyGQICe9/v1K71lYwavn63zZWebI+iwDGEiSEa9za826GGLJEKp2BK1HSkiZBXy66OIjOQd/2uLis5c5+OJmB1Wab+4qPImRcZo3oGDbrqy8c8NQ0LUmg9vubMOd7+zEW97RgkyTLtPO1uIydl7Dz1XAmokiN+MDGmvjUVnERCUv3Vh3SLqFAQHuQ/xGiEpyS/MVQDHzrmVBdpnpVVha3M9seinpWedWpXsy6fN3en3rg/gj/hs11a1rZHobNceqqhIQ4sqwaJhX597USa6SacBCp9q8RUZo+dPVDRXbl74trUXSnMlShf88xt1nMeseluRNyk60KFdDRwzn8hvgAYoyNCsL+yVFnXYoMKil0AOilBr8a0bDj8dOBp04KkYgkE5jK4PvDJgG8Zxmp/1+Gxr3wZoFixRTJSaB4IZAPrUqyH5lB7/x83DVw6cLLv6V+HQuZVsyA0WEEam6cL0ajSQ5BGD02b7Fa8f852TU367yaFGUy17KWMluOd9yWo3awEpgO9PwPMbzM/uD9uWGkij13MRRci6P547j3aWDyKg6XC0KV4+Bebnsnr+RLhQVZmY97EQXFOr/nJEXeniBmvkBfrstNvAwIoNPoMUt4U32MJPIepKeZax2At056aGHFVSRQEdyBtuNx8DyQiAjzVCzWF1fvDlGIJdHTGttnS9XGgP+HK6PTHMxsNr8MYfnN5tm++GUjiohW8yHSgKy+K0sphe0Ivq0XsTP5R7DH03vxv+b3YcZ6n+r6uciUjSO78GeyaPjApsN/zwHzRkmW9J8tXgMDOBv1LLIPd+EDbPd+EBiE/jHoDtrv7N/sXHqGu7adAH8xrV6eAeixwlnUBcaXgSr7Oc2B4jeBLJbPSR6PSgTXbBnYiiRjMnbyuj1sQfL/aj9BqC7/tVPAfVF6YBcDB6D5uqY6KvBiikkB7RBTLcglHElyb6KX/c9ll8nD+RHZHy0w0N6vUcLpKthTcTo+RaxITKDq1sz5B+HOWkQ4L4BqQ0ejDjAvI04shX0CFDwTsoy+FlbbU2olRTcPpRCyAB218YxNHgSuVoRh0I1/ENkEg+22tQHgWzRX3iRmcmKE+hODgpFj50FJgA1t2/z0NIM2I6Qsvv931EkHctF1NSk/2wt4+QYdFr0u+KZQWTKLnaFWpbNqmQyyHXuojGDSB5/kKz5g8c3K+2i0uuAAXgG3xkM1/MC6fpWM8Kepz+TTyeezaHHNeZ6iMVOrwvOz2Ntvg66MxC+FOieTQN02WAlA/4OXeN3agYI++By1i76VhjHLWeC7WT4fpkmMjxJi3xVOLTgeEA44HGKxzhO4wVoszYDhZ6TE/KfkabE4B18gpPB28kM2h7Kngd+wywiZPSSVmXSj+Z2x75wVwhRdQK99TeyB/QkIg17xzMNL7By2X2ajdVqDsKqIT4eRnLjuxBKNEGJlohfP4DqNMBTTWJnM2a3vx8sS3B+M72Wxu0QeDH+l6MKwrQotprms83XeDC1CUKkTISVNOJqK2iNkLOgvVU6p1lKXZlSPXYAwRh68KCYo+PvB47R0GgYwA3Xu+Btlq4n+O76rIudGQ9X7fLwQ9d7kv5gxEVVBdqucZHUPLi0EDY9loFK8/4aDsPGI9UhmKvbJL0+SjcofZes81kDiXgUPV1tiISN04pNE/bY0ZqFEPPP+DSi1zBCeQ3LPqei33r7NfjwT79D5mltTuOhr3wcX/7UR+RqxX96350y/mK0utQ7oBCzey7XFhYtSCirYbolGtSGzyqrlVwl6RhszbYmiXlXEFY9JFQeVJMy7ZVaTiqJbieP/37icbTmK/C0COwzaBDuCrXiUFuEWDFg++QMio4N/nBqdMqBZ5vgfdxBvzgN2h4NQl4pis5KHPyK2EEa7B+pDCMmdHwo5a+8Eqk8eLX38ScFHnpEyPDl2z1kWT6UodMtnshjMUC3dQSge0Gp4nC4DMt1YUwrp2eiGF6xV5ovhytUhCJl6EoNdgXy52oh6dKD9d36XrV+4Ptrs5YMX8El7XauhdfeKCdeBr/p4KgGBAlRfEYxuXSfDT5C1PiaoKhW4dFs7TW1w23tBnKzKA9QHxmfkKBk5oW/R2ToSWKOaly0dBm0FE4V1tERWCcIoGdujNqgOn0CbiIDfnWVDWdQDu1h55J5ndVAAAgw85jf9B7kdvzM/8/efwBIdlznofBXN3Xu6e7JM7uzeYHdBRaLDBKZABMYxCzKIhVtJduUw9Oj9X4H2fKzTb8nK1iWnqlgJVoSIR4s5NwAABAASURBVOZMAgSIDBCLXWAzNu9OTt3TuW/8z6m6d7ZndmZ2ZgEsIAkzt9KpU3VThXO+OrcajcG3wCFFnG+FhWIOXy9n1KfQrBs4MbIdR/YNYNQ8gNrmd8rL4bbpoo595etoiLQwuDkj6QzGm7QY6FlZsHBfvO5nURu6W+ZFHu+5nH50H4yZadhmA6UfuR3Rp98RD4cagTmZIwZH6bweHFKatKoaoFl5ZCczL+FF28nsWz8sOZ9qjmPKa2CAFnGZUDouFoDtg++pwL71m3Dv+DoaC3VOZpfO9x0Z8uIuAwFs/b14GwfJ0OYdV0Ww1VTzGmeZpCRwyMAFh1fSeTYpxlWAhjWYaXXmpDBUJPQ/mNoi5Yz7UzRuhbQoEFNjMhp098uQfzOFI35LzZ3ptMnJVbvF28lEBVkp5fhsif2//e7OexMAPefZ4T68Z+IlbDUEkkKQHBig1OeDP5He6gyj57yLlmeiezCNnr4YFv915Azk8hfTF/Mtle7pjyNNwH/LTiB1fhIzPnBLV1ayus0JuJSOhds78X7yI48Lmdd9QyDbi0yswvMMVacg8HQV7JJFD2/JE/SciLLeVYD7mXyGUoA+XSYgZlbuOcxjQH3PFnikYKUJPOALnzJVBVqrLPmF14Juz5GCHpeggyQu8tjSmccsnUBIcxHorrmkbRO/aw2Rf+nDECnJ5MOWijZbtXeIbZK2Vo/HFi7Trcc5uKRLCAVK2X5xSd4GgU4ePR6dRI1obG0MeGCAKCoQjUW6fV6SIr3DdotIzNG96ToQX1vflhWF3hcJXP900cdn5jx8gYC0l5wAvL1SL1W7x9LgJrtg2oJAmCa0UydghJYw/I7CKlYMvGSPzOd5iCOXKlfbeC/q627HpcB2rotdBPxHCwFMa3XvmgeDrNmjdO11iMCFSzpbafdP0z2p98JtrLrpHShd+0kuBtA8ojeLSJ57HGx5ykTevo1Dnkvhe7gnJpDXBHjLnWgO4fzFbmu4UMkAHgjU33ONQhGTBN6zrsM6kk1jfnNOvbvJUNlpbVVje/zgGTBwboagstOfB+tpf1Y5iu/VzkOnSlz4aDoV+BZgdwZyTtaLFQLDXezt1yl05PZqjzZGcN6r4vv18/iX009KHXFiQshL5q1FqCrwuM7XE5tV/Zq3W5AMizy+hm/VFWj81vPX4PhJ4MlnBO4IhsC/+8Xsf07XuJfAY463Oy8cM0TLRaJT5bRmVdjuTzyrwRlugFRB5G5WfS0ZfmXlj/aQ/K5jemgOxtgFgYBlkfTjL6Hjy0/AHL1A99p+QNV8/OsXTtNqQCO9QSCOqS1N+DETwTH1ZXe8S7GNk4zPsZ/KXcUBHpoblbIKJ7po7OWw9cJ18NwAu2IV9Bpn4dkCwcntMDQTDMozT26bD7Zyd6bSaGISDmpMRqW/R4LSHxxN4z/03oSfz+7CPz8Zx3o9jfj2zWjZAZ7uA0wTiLVtM8SFuf1wWK2p98jxyPFWRRxnUDNFIHSBgEiXQNBoobw3XAxiHq1Cz2HvCYBwAU4v54yZOdjEk607+JnnyujWE8uxSnpt8w0ydE+fkuFyHsuRczfYaA76kiU+oqHjBQsayZuScAnPoAULl7rWVODTcwqW5eYxNQLdeWEzdcq4iPedb/exJfwdOgbdGdy1HSACeIdWN+VAuPTOaAGBT1DbTAmKxMfq5ANPWAZ+vfhD/FH5CMnkCmthANx3G9A9DSRigLdwM6o1+OVRausmjO4dNN7I4tjeJq8qykI/6k8xGg94zi1Mfgu6qKOrWqJ6LUwaKZp/ac5um1e/2VDPbUAnPdqeQaIElOq7YOYtDOXuQoL6nrmD3mPnFHpuCqBb1FxIMGBdYvbGX0Jl+/vmL2JoKMC/Kur4+TTAhjJlvCzzMvo6aX1epLqZsNQXFoL6I6hfcr42chrRGDoejlX0SBD9fuDttwXgcYt5+V45TLvAjqsDDJGYs9nXeDjHKWrrue1AvoeumdrvHI03cZHDTXHKDxwcJuzL6VOAljFW5GredH+PnoC2/L1e2ZyAGme70zUNO7ZtoEZOoC7lXdmree3PFgnHzWByVSeLBEejfB5Wfyfi9HyChJBlAx6RZOzyPLfQCZq2kZmk0cEDnO4uOfCuVNsGM41DPXGwnnN1qUQr9z6OF/qQnPWg0SAWpIuIF4BOWtnjFeHJioHNtYxcVf/z6lFZ9TuTQwsm0hMkTPGqeKR87yawnQc0ybyC10kTPGcnGgkOUNWbOBaroe56MKeXb+JdA93waEnYoNX9tDWFyqQvy/sxGkEpplk6+XSEghDFXtfDKp6EWRlGoMfnBfzX9YL+HpzcOP0iqRkCJa0PBass71gbPi3Dxd7izwR5wq6FwrhLgrjX2YuA+khQobZJoLs/Og1RKyJ58hEUnvwNZPf9KVJHvwFj9DjE8WNwDp1Fg4STs+VBuMKEuGoHnJ/6NNz7Pwr3Ep+vLr62N9NvrCdgFUmgpEuqbbgHTlYpvZSEnd/CAbivy8jr5GkEWLHwX/FTOHtsHc6cimM8M4364G3yik7Z/Wj5cSRpHuhkpV0IRIACf2ZfJXA+GkdlAfIS+44jfug0RGUKjXgR9d0D8NdtpJyLj/QxQyoSbP3NnwczBwMCHHrpBAerctF2Mmc7Z2mOU0WO2LOwSEDvuj6QBLcKdGwL0P/uWYzp34OvESHWJJ3Qlfntnk1ZgWkzpoGHQ0SeF5/beRbHqQtj1g/AwOq6cErRSMEzSUmi6QduWs07i8u9lmkGUrn+GM3R/Kkrx7v1hc+1h9J/0ns/bouRFs4MbU5Ec2JMlal7JDhQvhHeSqCFN0q0Sx3j40JaelmkWPWRstXOb5kq5bSEivwt9zt6urHxqg5Qd0HyhItf8U7jM3kNv5bT8Uu9Gj5Act1PVZ7FwWnqF5qBPbd1vSZ3zD+YJ4SANQYcIKDllq4OXJNLwxAtnKs14aQMGNRHPBvg/sHxwi7VX1Z7QYEWk6wiaMpwNZ5F52Q+W+Q5wPpGSYZHQqsLo1hG6nG1FWN9zzYppwaWgW5bg6A+NmGYkl9zWzKMgFE3ufRzfJoW4H7YnISzxLYygq5b9+YQaATW6x2yvkt58aCL3q1ATuwC79NugkBqXN7fWaciC24wszK8lJfEgGSJrFplYpHHIBCTGKQJDBDwpPot09gxIEXIC429LfhGBwGD6tz6NDUEYhBpehZx1Q7EwqKUu/zBizr/tuTjkaYvF5cGdYFbCUz+8ZTApzt0/GtyOS2Al+pBwgHMObr388eReuqQrNQNgXSZWMHzQtldzNH442oIjPgK3ECr82o0Bm5Zkac907fU8xC0kNNO53nRJ3BJ+C701hwgBNgohuf2uWs+gfJVH8Lc7p9Ai8B5nhd5QTowEqQrlaG5ddi5LeAFap472ZJTuDaM2jhy8TQeSED+fbMRDq4ytdBjUDMCRXt7gPzVW+V8bNSnEJs6hM5QR+psZmTBCachQ97GzUslodfqNDefUbTeAgLLxF57UqZ5YdnszMm4MzqJ4q02KjvpJRHFOjOOWXoWo1kD705uwL/O3Yw89fussNCtJTDu1fASybgRiBgBX/29VJgObUw9z3NuhVIXH1+okVJIZAbXvakkxSDnCtYTP5zeAqYz8c/KxzhY4LyMenAGjRm6pbKcikBzFuD5j93kCwIzB4EknT9RoPbXpZ5PZqPi989sgi9MzHU1YMyWET98FtlvPof8g48idmIERrGC1BNUgWKXvvOhn4OfyUM7dQj6sw9JmhYuUM9stei9CMRiA9BK3TLPTEMC6xVCctNOEtd1pzFU7kGLuhzLKszE42KOZJTh0Q4Ex7ZggG7IRgnunCWt2/M0NhMJ/MeAH4/XwWQPnAbpLr7qQ2f8Ls7GFmsWO6w87tZ7sHXalu9r254bsE7LYl9njPq8QwuaM+BFBVmAvE41HKNEGOHvlF7CZ+cOUT92wDIiA+s8d/O7zecggei33Oojao/rB9V4wfJf9vOPQnv6MMy2xQuq/qJD2C7KfkvSry5r4LIysYxnbt6MhpmHPV2CduT5ZbgUmcc9BqZLNzgkewfUX4HsSyY0kskUx/K+Oa3B84E5ARQ6l+fjHAbdK7scGoMABvYTZ3UmzzuWbfh36BjnYOIP9wpwu+Y4P0fO5/ilHFvRM4+TDWghjC6OElqDXgSFLxrqnN9vnMdoqpPaXha6XYZPC306Ae6uqUNogDZ6mhbGfDiD62XbZCt0Ko5BXb07ji92LBuw0y0g0ziE3MHPybpB40lHxUNAC0OTVocsxl/xcIRl4VGPY8BNsbP0zCtIF3XUY1uhW4BJ82Ve3wkrEyD1vmeQ37Hw/IEeAyDQ/rfhbT76rgd82GgEUzKry9iOqRnAtgFuh0s9SxH2SVmg1UC/c1Ly8qIl77AQbSXD2xazZTspBJKVr5OxLb53HkuYeC03CIqc2a2ef+96uhchUJ4RMJxBbDU1dOg2WNY+mPZonlNjLhV58/h79AS0N8q9/vK//e+45t6fXtbNEUj1RrnWV+M6YiIvq2kGSqGQiRU8Ftw4mwWodH8aUx0ZiD4aTYjokpBKwWUfXkYNioImNq7EHuznYEWXJCFkU7ITpwsWss0WNsxV8XKuC7GyRyBii4a+EqxOGzlTwPECTNV07G6oGeqsWwF/Jvvu1JA8BwOTX/iyhqee0aQwNbQuwIc+4GPP7kDmX8rr7VUchWJBRjYVDPA+7sM8YTdBwqSQ9MWelYjBgwFo5GsthMZUCOSgDogQcNcqs3i9/wQJtcmzj8rLYOE+ukZJeNN7bZ5AuUhKzxTNswJTGEK+S5fnkSvjMrbQK5CMw5M7T9hfpPbM7m+e3og/qv4j/K/D9+Bgx9sRWCRVxJMInAD18x6aR4twz0xCGx9B7OSzSBwhAb1cQv3ILAF/cTzT8wmUrPXwSYHRqKnOnzGbR2TlbjxHZeYz3oy80Z8AW1EKr0nCbwcpN9kFl+tkSVIjil6fIv/1O1go92jcrgUZWEEepw5twXjlPEb6sxjf9R48b11PYq+Gq7aY8h5mb/wnKO35WUSAwuIrjx0fRnL/CQgCahviLOwOD86d713MJtOCcG6jLmScFSMZIc+YKZNPgvUqAffqKMBCsZNyMd09iQ9nTuGB9DkccU7JenpuCJCmx91JC7v5O4cxYT4Kn2Yu6moyv94i7VLGLnieqMmEINUgssrj/dslMfQYXGJrRHbPtnywJSdnDejsKxcpSXanLxUyRV3aL58RaEwvnXe51DqB3Fy2mqtzgJQwZbhaT1TUswkIWOAys6x5U0SncY3fXCqlUWp1x7jCdeYtjNpLdRZUij/yUbG//f4113fAigU4OrsOI8/sR2Hv72Pjia/i5rnD+HjuaZweWUc3KbD92jwKJMtQ4lU/Nm7LUJ0CwZyBaFuZH9+QR5o6X5UQic+dLSLdHxCPOgbvvBBXlEv7gYhLJt2bk+FqPJ2mR+ZzA9UeE5RgcBaawJmOjLTC1Qmb8+GfAAAQAElEQVQcdAgUbO7aQLlAMxZDr0PtLfBRZvSAqILkJQoQjaPeEjIy7w39u3Mv4bfm9mM4v4nZYbRZ4um2apiepuRjyXAJL6Wtwybtoyhouy7BeensaZojmKtbV8+R4yu5uNYjs5uYlOOYTCzyGASKrDvZup1e9SIOwMuelTQ/pgBBTvilOQ7gkAwUlaGmImmX8hgo/rWSB7Zkz9N7/LWcjn/VoeETKQ23xTREi5BcDy/axps0grgeGikbWpEmA8rwQyCdoiseXrIboqzDOGzBfCEGUQwb1IqlVp/px1Vb0GhBur0Uy+ONdWoxOhAG6RBxMHAe8TgdGxBoqk0zrT74FgRGDL6RhJvolLzRPdZ5UVvotIDkwpo9jussDfzcThCAxVvxcPml3IYhwDAEbr7Jl3Nyg+shxsTIM4h0pOqUJcf6qu9gymtQLuD252XI8zNHPFp845AXoqpVQaCVwGhOXXtzZoaz5p0ollEJbBzsj+FD6c2Snif96aZYD96a7JPph4/SKjXF8iQfR8AXg1hEQnnKRJeWkNbxrBcyLXJstc5gP89Nd2LDvOVvJGPzPuEMunN5BrKO2GpOisr7JCcEdEJeqI9nbElmgOzUlzSc+SaNJ+Sm9wnotEiSSdWgWQG4DOiPxyG+fK3YDbeSRouuvZprIvUsgcUTMxIwa20dlCGPRwsA4Wwe7nt/gmqh90GyOQPAYnoMnqFhdhs9R6EhaV8Hlk34POwOEQDqBwEKjTQKdK5bxaAs/5ezSlbhROXaOVQDB96Ba5AL4gh8Ae/odlocM9F5TcAs867nep8A/11wawKV4Awc1Gi+yaJG7S3l1qHT4kHsBAlIVILHUn5Og408GnSNh7oDomIBKM5qCxOHG0082xrHD5oj+GdTT+CRKTVGRu82mq95seB9D3h4290BumMN5D7/Ayn/cR3sjImF74pp7U6frRB46uFPbulAgvoCt03r7EQ7y4I4r8e+3H0/aNiAfuSFBXnLJbxUAN5mho069BYuCboLGoqYr0HhJH89by5X8wU6n6OygwoQKTahk3/xwTgHb03CObx4weGWNWwnY85pXAR2l09jCuB0BNDcBs2VPXgu2SHz2OPtl6IxwaW2ZjQtar90bboGfUphHHpW9dkTROYyuy1VN8cXu+a0kCQzDSRGnoWg+YrHvMbgLcjVqT/ZAcYzNCgRV2z6MEr1Mvj3KOp0bt5OxvDGqQ17MMd74GQHiUsdBZo7daQIm6nhrPcNTPhPYibYj7ngOOrByLJzWyU4K/Pi6IFGQvysuiX09Qaq4kW+Rn1SkkKjEe30YVwX/r4Ef0UTLRLe/lZ6nicOIPa7v0p96rAsYmZUnbyAx/0487x6Fqf0ACz/Z4YC8A+nshjSCBfWNlvqofK2Mt4ldpCQJ3nT+zv3BJbvTVf4Vj/63nvw7/7FT17kCrkM7rz1WiRi1hW+opVP90pzYyIHnQYFjyZCh9xq6nMyrIgBBaeInR+7A1fnlRYeCWqrqWMpHi+TmiezUOiEP5IzT1wmstHM4ERnHPHAxda5Ko7nlMAfn67LErENJcRpAIrT2NQi8CY3m5d09n4iexWSpORXawB/TsUgJQtSb73Nxz13B4g+32HeSzmebJknU81yAN5SZoCErdNmHRXHhVlaupnzOWaaA4AAUplpNIp0oVB/nqUmKs2iTCYR+MrB6+Xi4y9AgmBWloTz61+vy/h7dV791GGauG0EQiehtRPpTWohasHK+KInsodWuLkdRy5mK0UVVhzP1m/CSWcLCQU6/PVb4Q9uJiFpG+rpnShZu9Hs2Ak/1Y2G0wOvcwineu7B8f53YMbYCM8VBAaMQvAMHp7TfdPKPXwSf7sCq3RSXnCre4cM2z0eyz0rK/t6BBa151+puGjNwXUEKXgpDPRacKs9OHlgI0rBIYzED2P0zAB0JLFuUI2ZgWYse2k6KXe8lQxcF83mcbhGC+51t5OGc2E+aC9szWhg5YYtdiJwh/OF43EAP5OU4aW8yjk1do9umMFGs4KkpiOlOeg1D+Ks9zAa/hSG3uEjedMpjJNQz2B7h7YdaW1QVu0HjgzbPZ+eCadtDdJahcGAbj3BJOkicOl3Kh7Y/UUtIAVVPaP1hroeZrSmqQKKOB0++csftVGB4YcFzn1Lg11dnm+tOXZFXVNSDWmk1C7//paqW5RnJTkgcEFGQi+u2SpGY6aKXNqPvmiL2lJ7iRQpxZyuEXDA4d8Fl0ob2LabFFth4PvD1+HBIzfgxaM6zBMPo3jsOEZqnTDjMewiYP61ut9ERwH9PTaadgKlE1WpJKZEFUOpONwghoOlKp5JK/mSgSf+XPu1upb2ejVaiOC0r6U5ACpFdKqugnOZjKKR37h+G/nAOQIhf3HrNjzS3Q/h+pgyLEnXQkDUqCtAaMFe5JID+FbtXBgDDhg6LYCqcdcMQXfDU2U9s2ee70pFeDGgRuMPjy8sJ6/mvCaBFHECG0B/zWCK/KUPXsQsX+OiscFbksFLjUt6gCEZ8jiZnslBwCC5xIQXvqNLWYQy8PAXNV+CLFzRvXEN/yGnzb9Ppi12DJjHaYwVJO84CQ8aoVtiVodLQPpi3qXSDK5qZztUFt1e/NnRS1rHKubV+Tw3M6dulzlY4IRTg0fgOXQD9YFbwCD8Aoa2BM/zszf+Y9Q33I3ATM4vDDELl/PidA9CQ2z2GPIT+2hhgnOAR5vLzxc33eDjH/yoh0gfanXvAl8vX2ufUDIHb/8R/SbHtNeUldbDviQT5Nnre8BbuYzbTZQr1AUrAsWETjmAM12SIXvm2CxKjSqmkgJsfMXt9KxHBSjz5ngPughIpygqozEOEG25yAm2yLeoqxYJd0001fz534r78Zul/fiLyjF8u34OkdX6h9JbMHrK5GJgoJ634uAE/8YXb8OxM5bnJBjIkpE2L/oaLlah+Z+GXIOGlXgB4DEtsyEAW4337rbBAJqXXihX5LapZ+2fG4RvGpjtr8ItZFG941qUPnY3qnfuRvkB9XVEcv+JBRbhQVf//Feo5uPfgHZkL+Y2xuHFBGJWH5one+VV5rbLAKfD9jRkKB32lmQP0jQ2jzSbiBYSHgxexrEdo8jZeQR7b4I/2kcA4E7wfTBor2pSfpLV2mYS/qlN8KkvTbeOywWLmUQedCsEchZhnVH9PBpLrfMFWfiJjepdW+G+/kyMfgfgkFBjYop0dx6f/kfjRTy8bj/S3Q6zobdHyRVsCW+R7rxt6mX5NYBeq8NLJdHatVHyGbOqncjEIo/7sF6tk85l43B/DPU9WyVH8tmjC56xJIYet6di1y40PGpL508Da9DXq9tdrAZ0NwnY9n0BXji0qO2mU+HJLxE4OdWO9NbyjPwl/zvuC8D1xuMCQ2roXb5AWw7Ly5y0O9V5vATJYIGHWXsQ06YFflecz9v4jqW6OAov8KG5OrVrKmPp0MtqPHO7usDjdj0IUKDF0YSQ7Et6tEYk6YmOJukrSs+tDd0NLR1HoVYD/ABT1E7GqJH/QfoG/LtyAP7CiQvdEhsFWjNIzglUGlthZQST592Afg80WBJ0rwUj4N9DmfH3STn9vPc9+KB7nOdWkZo/IiMZsUGG07OBDKM2KRNtnpika6C0y7oIhfwbC300RlAUdlj9PXfSOzEB/cWnmQx9/xMyjKmuAjZc4S9lMrQwudEW0K0Axx0fyf4AaZ0egQPMTaVJV0rhBur7PlzwtjL20JWXKfDm3+v+BLTX/QrCC7jz1t342Pvvvcj9i5//GPa+dDzk+rsVZAw16TpBaVU3FlnpGJXz0LwWBAlMgU4r3boSaFZVyRJMfvKCoBFoMTihxcMSrAtI/Cn9oZ4kNBq8bx2fxLRu4ny+D4k5l1ZXbQR5tSKd0wIE1NLq02kMNbM08PSAy3Jl0Wc7WzYH+PAHfGxVOypw1qpdJAxkKhlZhq0ibuvqwIvxCoq2i9gEnVzmXOzp8RQgBJKxObTmAkR/fkzVJWgyYpqwGxy8Lk7Qu06M75fnjvZRlonXwysXYXz7L/9e/FinmB6Fpjs0uWuYxiA6rlFWcBrR0Vq6PWzZDNmOuS1/+N01fDL+h/jZzr/AW+4ypDD1dP5HMTMj4J89Def+j8L50M8p94GfR+Xt/wSzN/8C3JKNatPE/vQ7ZBk3mYfNv8biudLifv61E9gVWbnz4sA8/c3IG/oJmLMn5fW5mfUyXOy52XWSZIbAj0xcYU+vTcDzNZS8Htx8s4+OdAxTZ7bi3LF1mJlMwXF0JK0kFm8BsvgytWoDmYf2QZuegFs8CEefJcA8D28PAe6LmcO0RYA7R9lih0N2XA9byXM8UqI5vpIrHVO5vJ3MdmsOeZrbKl43nEDHtDeKseARDHvfxVTwQ8mYE7vQKfYgbnXIdMO5eF5uEajCmXQXHKBLv2B9yp/L/qApyeC9udnxtgnvJq3lw0kN76eQc4ULGKEFf6QkMX0pN7VPSLJHCgD/sKtMXOytmcJKAheq5OocoH3RQBIu5ZXVswmyOcnZcH3I2dOOyXQqrcnwUt5K28lw2Qg8mpnl1N8dt/ta4Job0jAScUzZffjh1E780cEH8O3TNwFCx/ZrO2jsX90zxGX+bdkqIKhscsIBK4m6OweDTtmXVePS4/40zt0ygw3v8onr8g5PV31J8+ZWVYGZVmw2VDlB8sY2k68SOFNQtOauTSSjFiTjl+rU6kwNVSoofA8VjW6AcvQQwDLKSgl3Uz1EXXjwD0JGlMcaY3AKCtiJPn/XHQUuvR6A+xTJ9nxt7eMLpy/lUtqgZGGQQkaW8ZzwhxqXytYbw5JsVBT6IMp10jcMIBUDW8jLzEt4PBb+dtmXi41snc1bx3woqd7jSkXdVDfiFXqH9C4b6SZc3YWYS8JfpYV7/NAZoCHQIpDL2UiDpmZKy9rsN58lncTBK/2LrkOvqbbRXp9Rm4JvpVG++sNo9t/YnrVsPDKiMstqz3xm1HixSNMRtdnUuUfx1qDKWfJ5zqyhO7a6d8py3TF1vQxws6EUEyOLcj+dkEAy0wLLhNuZwWFnlhbHgZhngvf2dgsZNKmftewG/BCN4v3by4GNQwSKRl8rP99U5xkiZJvPIxwDQVnNkbyNFZ8jcvmcil1TGZIRtlLnH/L8Vv0seF92Tu8wC3hXcggTE6rtbNkEpElliyyCeY/ldwaq3zKQJStq8/jeOClsFxvf42P7j/rY/EFfxtffH2DgrgA9fWVmgUf3KCOhlyTQmqPB8avgdSQxc2MeY+/fiNGt0xj1HsUZ78s4kfgapsJtLzIPv8Ds8473c/f23AG0GghK4yhtipEerCHvXYXiIXU/6fU0flGJU80K+UC/p/ROBgm3zg3CbkEuJPACCOu1MxtK6M/G4R3ZCuehu4FAoKBesSwfedQMkdsWQIxthF0WGC0pcHEm3wON9PHkvuMwJ2YRvW+buoY10wFNCBzr0WU11jmlv3OCmgUHOJOeBIPOn8hsB/9wbVA33X6C9AAAEABJREFUcK5jAv9f4XHwFwmWJdlQoQVy7nNJWohgCo/Zcx94K5wNahxmeY7pSzl+V3ZAYC2NFylhInXTtWArfJ1A+/RjL2G5v3RnHGOZnXDoXpb66neM2hAv0PB2IXy/7fWsBnQ3GXAPgEm6NtNsL33puKfEImj89c4y7CxLf4Ta5nve7SF63suwzpPNkgbhghZyMD82e6lpmT+BDTLkLzB5uydOPOhOgbezsn0XgWfBy3hMhjFXlaHf3Q/eYo4T2y5xjy6BzMyXTKu5PVoU1brzoIaOgeI4Avr/lewdeDKxHnprDiwPfyqjY5NxGrrfQop04anmjYgtmo9MpLBR/wD4N1D6tNvRqV0PNobRie6hhmJwGO1/PgHwTUxCg4VoDhwdUxwRiK5SF3xtRjF4oS7Cen3aK4J3WGCunVcD/E4E6fva6CkmQRtRYbpfJuWXpzMHhUzcTH2HI89Sn+WwJ+zbY8MCSdGNraZG9+CAx7WTXRazvOn+nj0B7Y1+vzfu3o56o4kTZ5Tg/Ea/3rVcXzoE3C8lHEd1XhDOhiHCPSp9PRZlX3boduYQkGDKFTg9XXIS5vilHO/jfiofhxAC62tVNGgQn07lEZ92Ebg23NQU2Jqgy6QJwaWJqqbjv8begn+Z2wP+Y2V7YhKkWAI330QzGRMvw/HklKcx3nRNRKC7SSumZ5MuSr4DtxwsO9H5VidA42WuYwTlcR/RXxA9V111EdEMkZSI4QqG8fEXIEgB4/fvZNddwTNffCrjxSehH38R5pc+S6u9T17M8HeIoh17EXpMgy8M0uHSYEHf7xqQdxjtySgTy3gRj9/ZLxeS3vuADy2fw6nUjZieFnAee/hCSRLKeWI3fvA1uK7AgfgdmEluAlst+V39cB26DmqDi62e/auVYqeFK+8XKnwztvgJVM7QM68tpl7ZtNYqI/oRv+X6sp1XCqRVPHFlL67tbH5DAaoimUMhB/CnliYJu+cOXIuzR9fRImsc2zbTwInl/wRpNR0Pfg/m8cPwa2NoJubkNki8yIRYYsmCrDywYsOZrV6lDJhjs3LfVGO2DLaScvrynL2imzsfwLMFjDQw030OpvBI6E1ig/4WfKOyAS+0clI4t6HuMyd2oaDtAv+ZSILwDgSxOmylhyD6CwLS5igxoy4NG0ylIBNJWu+wZRAD7b+c1cCOt014IKHhnjhdS/i4jKoGvk8nS+qIwSWXdrVRgfo4oJNszvfh0rVMviCWZl4Dle/JIyyK65xLNGTJbiMuw9V6WqUoWaMtZZqeeiBWCxBCwIytcGO48Dc8ou7n6quCC0SO0SK+bg9TPYrOX8Ix+e+K8/UO7LqhBx/+xDq87YE+dA3mERgJNLU0gfAJbN/V8Zrfaue6PnpXGpzZJE5PFKH5SnHuTHfjXQMkF9EVPO5Oo+iqNk/JNR+BWFu74rbOJ3HDRS9WguWWMkQ8sXU9qm+9BrWbSROm9HEnAG+zEUBA0BwtfAJpDOoslKc15yC81vxYy5bTRJ4/GBxiC80Nhuq/DGbNFrbJfKM8LEM9BNxdXYFEkniFvLOOAgHbx5fVnDpOij3z1YMpDtbs5DNrTYINZITdA1ElWX5KTZp+l9I1ItBdb4ll6+etA9gSlN8dj4O8dcyyzG0ZUu5uJpCZ0QEaQhq5ANqUhpUAuqi4TvMDA3w2AToHHqjjyFtszL5rF3jOYHCx48tPgXki/ssJ5fVRQX5OFCw49LoCupz0wAL6SokIVG+X64y6enetzp2oh9vCbHz5QTBYxXV9q+FzsCoXhAvCMa0F1pG4UGxWtfkIHGdac6cC59x8BgEpVGxV7ZDOtmNW0Y83KjDC1U9nWo39zplhVAMHpY4EeE9wrifai/0mtnDXEzArSXiOQG8PLgIRt4TbZqyb6sXnet+B3+q6E/8itwefzFwNBgjfRiDdJ7NXgcQIRHpioTPg04AtghkQY+x/7yNJ9PlZCWQ91liIE7ghiK7PzslyS3laTc2Bfia5IJtB63iBSHW6h+k8XK2Ocf9JaW3bxCR80CRK2WeuL6OV8sHySey4GjuILA/3zvdKA4PiZpPGdxOZEtVVHATPv1x39OXQKVv1sS3JtCzHvwe1lfhadIrHGqP4duOspN/d3Ye+G9QzYAJb6kd1cLrddRGfVuyGV0rBC+qIpebQeVWHZGHZjCOtbevk+54YF8g4cfT6aUwnBV4qqL5tnSUFnRnJpbocFOMV8FTP75cXQt5/4q3oqxXgmg7+W2k/tC5ewAcGzpyQgD73vfK7bkXtlqvlebzOLNUE6FX1zGVikVednsYpdw4jWQM3xrtlbvWu3Rf68VeeBC9upB9/SX69ws+c74et3I/3vB0tkkGkARLpVLIwedyGfvCYAO+T/giFf/V5DbyN7aM/EOCtiYgF7aB7bp+J+IjO5HmnV0h/oDlnigD3zvA3EeYzLxGZHzObYkVOwwBSC5vhivzWrCbzna4LY4LRfEHSsk4Wcc8A903+vTz+4oTb0t6ubXBIvrLtJALTl2O9zg2NS6W7MOyp9rVOX/laG2q4Q0KbwgvjV+Erx+9BQM8msOLQaOW+t1aE7/tyEfKt7hT+36lv46e9UWwxbXg29dPAIwB7I7VNC8llhkyTdI6kGESH2IZOsQds+a4TjS3eZ/1DiP5K/nEZzWgbpVxfqQao0IIALwCx3i4z270yjWHUPvwMdXDSRfzBzTJXGzmJPdcF2H2NjxtvUM9UO3lY5kWeNnwKsXAcas1iXka/U6kPUibhRdHe7eo5lug5xaHa8UbTldU8ahTR2rzMTUuON72/i09AeyPflE8C9BPPHZSXmF7LKCRLvPG9pJ6TF9kKSjK8lOcmVac16tOIhDIv2XWpYqvK99nSOwDsNXzLlBQmMt09KMZ0bC5VkG45eKlnA5I02mg0mNkoIU4DE+9lZQgaAO0AtXAfM54AeZ8s0N911wawTIq8giMTfnqerKgJ3QsqKKQSeDlex6ztwpwTS9beQifotmEaDbhslhNy+XElmGixsIuEAEOYfcUCQUpjZN3eGHzLFTvvcifiz66iPOPxr8F4/OsAveuI9ncl5ElVVEuAqZGgHYebII2Bbi5YpyZmEe3/RrTljogn6BmQLDzxv+89Plo33AdbJFB+6gWUf+P/gfiNX4X5//0HWH/5O8DwaYxUCzja+XawQsFffFjZOD1iHXBdAhCUIi4rJM+n6/G7BsAAmHbkeaK8eSz1BGYPCZx/WGDyh0uPA0uVeS1oVvGkrNbOq3YkE4s8J1xUMysLlbdFbK9ZUqNFAZcwthopX515TZ6H2+GWzTRSuh2YG92KmOiY306GGQS1Te4z2pG90J99CMZDDyL7vz4H4/wZ+EETtf4A9o99Sv7gL7J5LrKkWwxG896o2W8/C71Wh1vIovzALfAoXLJwG3H2NF0rpd0tdaS0ScJuNBLWd5DyUYADgUfrMXSKd6BT24Nu7WYUtFBapjKmSIPwOyBZg0tKFpHmD9d3ZLyuyQAbjKyM8NQRWbc/kBCStpw3ryTl/OVYJH3iWVVPfleAobcr3ul9AjUC4iXDZXr1UVUwQXNznZQelVqDz+M9O1JUwI6KRnu4E9ZOKdB8rq5dJpbxWAY4cUplbt2i3pdKAZnZv0Zq9EF0pxX4xF8oR3lrDt/gBXr6YrjvXTl86Mf7cd1tfbj7Hb30/F77i050FLBhsEa9wUfr7ARajgKlPD2Ldw504a6ePOqej989ev6yLyYQMVlWdxfOW5K4jGekQf3Pgu1lgXIJ6wiEAP2d8IDWVetBFwz++yZ3OooEho6AgP3A8TARAu4sN7HFMWXDi2U4WOCi7WTuSgyCrWg586BpwLOyco7lr4t0P3welpr7medKucjCPSXMNZ0yhhx0pOSn+CttK4Nl/qJn5luka9C7C0pz1Be5Tgtehxr0gvB9CHfpSnghJNo64BNpQWPs0nzLUX23F7EGjR+6i3rBpXdr4VI/ssh1pZ45wgGGr/MBI4BtaTjVfwDT794u5w6eQ/hrK8l0mZ6boudCZfVWhfwLB7c3Xkhnih+jdsuRVTgvSYBo2OYi0F2EPyYVGDGwzB+1yQ9U1f092wpAKtYqageia9GacyiEIGFfrRNpzQQvMk15DVlPa8sAGrs2oX7Tdrm3O+dpLRMM+jLDgcYsOkjX47gzW+IAjekZGXZu3gTWBdkKu0YAPAN7nO4msD8xnkMjcMFgqGRu8yLL0/FJetdE79YT4C+fGcj9ROYq/Gx2B82vGZw8qfJ5OxmrrTvcdKOPVArguaHriFoY2NtS8wVVJw8/nZChMbvwfUli6Bkzqp+7eRp4QloUpJToDnH0OsQJNEuJQWrP12NAuxcb9Q+gQ9sOELh47J6yLJLYd/KixaHmB38cpe3UJnQTPSPdGDvTIXnTG9Scx++gQgJXzDPRiaTM4/scSsfVj6cSgMyW/5zBXxLk+JRpTgGdi/ZuV1Tl84IBA/LBdA9IjUSm7zQ2XheD09upGMjn7YMooAUNwQF6CaTlyMsD4XWcG+ekdNVsBS3dwXYtB36/vAgeqyfwkambsSuWlzy84HJVYha75o7DcQRqd14Lp78g89gL6MaCmCm/NtGqDSbNO95Gi7cT+tPRvSBIFkYmjehHcfk9cl3MbMyWYZ2bQOzEiPx6Jf3EAXTQYtpgqo6GlcOYSbJ1qwHt1AVA9vARAduGbC+9PYBlQbabc8MCvDXRCSWWz4Pugsa21Ckduecs+YU8p82yQOAL8EKiSeX5WlbrAhqPmFfQHMbhq+XMcGtCu0BjXlipUR6Bb06iIjRsKadx494x9Noa7kqoxvx7rRH8+sAtOOj3ER+X8whPcuBmktAJ9+DfHuKqtpqqTXB8KcdgM9NL9KyeHrkWw8U8Jic1BCTfG6aOO6cO4XaM4ddyOn5SL6Hbr4G/HpNbvzglpGmMn6i8hauAFbZnmVjBM5FCt6YMNnl7y3pAwD2ASnCGfCAZDMowsm7P52TyIk8LLdWDdZtknr95lwz1U4eRywF7rgMiWZaNDEF/PunZFEA7SjoOvX+DrpkXzpgWoyaeiQG7w2d23PExEPbv6QkB3aNGB+CmuGoA8vcx7qaTEO3N4+/PE9DeKLf6b/7rH+POD/zTBe7at/00/u/f/nO8856bMTSoGuwb5XrXch1soRc7qQaG9nJpvVcmbZTmV8uxwp9PghwLX8JrwiqekJwslMnIGjzr9DgSL4UzTFiuRSt8TnYITl9XSFldwJ8Nns5btJLawlVTcziR64Hu+rCmGvKerCFaSaSqUiIgH4iEK54AWVBiq4udWwOYJU262IQmV5YTZ3UZ6jWB1fxFPwqUD7eVOedWcW1vJ47Faqi4HrRxbclqvHg/AvpPZ6bRaN9SRrckv4jpKuQVURl75d5aaohNHQa/7zeCdTtaDbDFGQhkce77CDjU9z8B84t/ACx+PpQ2v/LHMJ5/dC23+4bhZbBcEBgVGAYaWgbxnFLa/WFqitwAABAASURBVK4+eY28Eh47NYrUM4dleilPTCtky+/qn88meRO3vj2H7L1vlTRnpojpGYGRmSTOtwZx2tuM/V3vRYxA9t27WRgC9P5+2C0SZByXgMdJWa7d8/aouvRnH24nvxkPn4BdBaZCy+BWUYTU1yeIxu1WlxLwlrqKQI8hWlw1y1cedDfqU3DcAEW/EzHLmL9E/goplQJ0xGDR8MifW4L+xNQorN//1+CvXkwC2vlz3vTeU7AmyvDiFsr37UHrp38FQSiwUpFljxgJ7JzpxWto/yS5vmcr5n7kdrDixfmXcpOH1HxzsjCBQbOGjLCQ07aBlfoIYNvXKqJDbKc8JXRHdeoiCdJVALoGu6LqifKcpiOjEeDercdlmgGmehCArdu3hUK3zFjCM0Mlye1YWHc7a+lloDkLGCTU84+7xkmg77pe8Y88LsBtup1/LfFWUZPsSRqWauECAoMkkrgar9WUXL6VkOG8R5eXYg2EnoMZN+bJy0UYSGElmBXgNLWriM9qHsfpx/vx8F99At7kGFhG4LxZhfNw9O+kswgg3LHDQle3fsXub/0GC4LOZtEizkk7fK8iRhTgg0M9yJsmio6D56bnJO1KeKx8B5ZFgHtKyhsJuwG2lOZzD3vsA8cdZd2eFHT1moBJKDDNkChTnDkEIUwRgMmgJtMix8AgA4oMZt+V6Adba3Ieg1pOuK1MYvxpCL8JT+9AIFQfZ54r5fizcz7XEA8AHFmDS4puyV0JTstwLV70zNz0elksNqrBbNH900KGEy4QBjrkn3Dp2cvYBY/XQP68RgMBkXgrrUtZSRLbRUfgp5Capro1F5V+D4FuIX5YWfhexBwS4ofOgq3YXSvA1FVKbspVLamDDCefxci7ehGQ8KXX6nglVu6BHqPriUuZnNtYeHporbKMeha1F+KRiVV6Ufs0wm1qjNB01E0qnbcRWrmvG3sGa7Vy5+v1Ieh6W+jtUe/Fm4rjtpSqm39IUV6mpqF+y9VwaZFtb0uB1oOlHmScOArNLFx615NJyYm5qUlaAJlFsVlFMaljV6pXZvA2NBzh/ds5TAoT3aMDHEW8W40tMhF6POazPMFzwASBUiH5ouDceSFpvJ2MjLR50X7uudlOSeU+zAC2TJDnp9VFi5ZLqaUPfbYiM3jMkZE2LzOknpk/3ocB/V70areDrW3jolta0rLVrU4gYKtTx+iuJsnndST3KWtbrsZBDcPpF+Hlu5Eup6HHhsBfrXFeBJYzSO3S5eWbGUS/WcL5/fRYt5YGYTvq/hkw5WfKeevf5qPnlkDu387p5VxuG7394Y3Q6f31DE2CugC8rqxkd3oLiMDwalXd57XJvMx7qd+UYfs+7sV+pXtsRqfMGx+XAfhHKdmKmlPHZkZxCwHmHC/u3DpfP6fnXWeHjOqVhgzZ4zH5V6efwbfqZzEw56FXT+I9vTvRrV+QMfhaix+9ByWSAytvuxG1W3eiSYtEbIjB/XrjM8/B9F2cSt7EVYL3zmfDD7HvSYzuH5O0228LwG3m4x/18aEP+GCjJs548YDGgXRs6c7Oo2lQbwHplw35g6qcOeYFcBDQe+LU6p0bGgTqVYHVl1qZk7en4eujqQ9OODYLnvfsObRiw2jpBj5Eizudx0aRfuRFfDi9BSzn8dwyR7ptnO7DtwIYjRaNkz6aAwVa6Ehi1g+QpHl1nQ7MlUnWtFXbaL8am3Qqzwao2eKZ0z0yK9B0zBYpmslDiwW0WDSBt3gjtEAF1ENjQat4CvXmSzQeNZGYTaDqrMNap7ikGERO7AL/Tfo/xKGTRZw+VsDcZC90r5vJmJ1VfWaphT5m0EKDOdZJfA/w121iMimKqp2oBMBGRCDcg8F27873SnJkdMgGK5JAXncom19rUYIO3laG5Zh8DqBHjeJYCjpS2EzdqkPzwO/grFshzjeP1+oJ1OpNjE3Owqf23H4OTo9PzcL16MW3Z1yB+IVR5gqcbKVT3HbjTnz8R962wP3KL34cX/rj/4j/9mv/eKWib7g8c2xWfuqU/eZz6Pxf30L228+C9x7jT58WX2wcPZJkB6tTaLykGlCM8rAs54ZCmUys0ks/dRDJvS8vEDybuzehedUQ7CFV/yqrwo2xHhzoS8LyfeyamcPxnCpvFWuyClEoybBDp0FbAOdJsWuQMH30GCUo564uDYWnLWQPGNLx5MYry8lzOjjMvWDK/MxhY0UAvpCH/MtUlTBxxqng1rSFM9lAdjh72gdPUJKpzQuMJE02OiyrRavuLbihDOBbqh7NFOA/ESqjHL+SzqhPytPZ+a0yfD097ZQCl3mLFH/nTWh9/FPweXIlYNn84mdhfuPPwKH1x/8Z8d/8P2A+9W0Y3/xzgMD31/O6L+fc2slDJFA7CISGOXQjnVbtIOgekNWJ6Smknj6M+BFS9Ki/S+IiTwwrhTf6XK09O3HffSj8y3+Oysd/Bc/f+1/w7av+Hb7d/8v4fu/Po0Rg7L13+1I45jIxC5gO1iMIAKOk+j3TI+fvuEm9h0oR0TuK8pYLhe8sl/WGpfO9WQ/+HvXT5pqucfh7Glg45ELNWczHOX0lnSBh2KwMS4XdDS3llju/G+6jbIU/sLocXzs9Mfoc0qe+CzOcG9rz1hLXCDzwSLGo+Cl0hhbuXJ6VNW6X3BN27mCKcvxeOMZjgT+4HUl/G4z4ENwNmzH3c/8Azlvu5exVOWtGk3zm4f1gAMVLJcGfJDcW/bCbZFrG468ZeMc1MxOg3nsCpvDQpQ9Qf6aORGUYZKMAe0NggePtziTBWDMDBIkaAdt8t7jwZ6h+06S+yMQhIwMGmSLr9k+k1fVz3lKO5yC9BbQrSYv5uK1O7lP19Fzvz2dHwDutJWM6XECaz1xDhMF8Zo/nARb8Od4dLhxwPHLa1Ajiv/t/QXvh8Ygkw0hZQbdafGRinRbZ45pNCzUWAlItuK0wfSV3LgRS2n9MTwRNOC/vxaGDt6BsZzF9OjU/DtYWfW2wUt1v5q3uCWzamkHc9OCXDOSnz8hCnklIj4wB7xrslLFvj8zIcK2eb3TIIsJXcqBMrNaz4pKTt2brVN0BszQuMTGybr+bWAJdhxAmUq0As0YcHk2UbIEcyU6LZeS9tpKpIgDrxpiSWfc2p9DsUhsiW+VT4D/fUPI5x6+kO0vyK59vg6nkUI6v1mWEAg/qwRTikwdQ2Pt7iID0S9Vhls9LlmZvJ/XjAHpTjX9+V0zSL+V9iwZDtgAd1AV4K61L8S+Vr5cayPKWMgRMVNd5CBI6jNkydHJL8QvbQXL/cZk1ejvBSFYCKW0r8tn3gy2QfdiYNF7A5Oa65NEra5MfZKE2L/pigufJiByB5W52MCKtOnTCud4k2YALaU2lCwa6mq9a3bvmv7z4kaaSKQ8Q2DXjM/fy7pmWj//mdOBnut+P04GJgurKmCkKfKKwXRbkLSbaAWom8lYzrifQWylwEmk7DpvOV+xQbWC8OInGzAyBbT78oX7siNFEQpy8DQ0FiMDX8XEB4Wo019E77FTPnmWU/Au/D5aFmJfBWg7HJti/2NGrxQR1V4seRbSdTDtXOgUJfqZoUWhTTY1bR2wS8kImtzMjY0axLMOlPGG7khzxykToJfsDCQjynMuyY0heEAzo98j0yHUtlLrq0vI6QaC7X57CqPcoPNSQngY2vtSL8ekuyZukqTN8veCvWUh9RicB7nw/koG8Xlog2VDpgVlJUAq4K3ahbSVoyOq6NhRCZC5w9GUNf/Wghv0vCfBzY3JmI1Ab7kFQTsFKFOHQtdR3b4bb1YHGnq3MIl1kCPe29epdHrKaYCCb+xbjGcxUqo7i7SMNvPuxc9IYovFykckoUJGdlmorVz97ClbgYCrWiQPZbTJ/sRf0qDmBfwOA297/LB/Efyz9UMoiDAi/U+9DN5I4NJyEBHDbKvDTCXiFLOwNPWju3ADeqqb87lvgkZwYt+u4t7QXw/kbUQoKAAGl+pG9aH3767j16O/gvSd/Deuf/J9AqI/ys76p7SsJ3t89OlWr10fpFhsR8G5UBZUrYdpWnS4dAugR/6VClveYR/OoHo68Ci6Sle1OdU1cpTV7ggMcj1ODo9j2Or0cCs2JGfB7/HB6M6VAIHCAgkehENBaDo31LtxsAqccZSgxoAP8BcNXvibwxa/oF72H1oy6jyMtgfocDQ6guvQYajWBIB6HJnRo1AhbtMDJ8qwfy4KNBn2S77xwDPNnbqRSQJr6mIyswStou+TYPjOZwhPPuDi2byte+P4t4K2CvvZNDafPqr7Rt8z0LcIfTH3ycAGf+2sNlcTgBR16WM39fDn6sw9xAH/zTvjr6NnFEuCvybkNxaiJcSb342hbp+ssjUnU72WAnBqSMHVeQ1JQpyXyZpMePIWPN5RBHkXfPOgJvO2j/xy77vkpPP38hS9TfvD0i2A6ZcuD48wTuff/5P8F5pGZocfpBz7xadzywC/g/o/9iwXbkXPere/5Rdz30X+B6+77WXz+a1fWIFS1jvBCX8/gPffdhn/80x9c4H7qR9+F7ZvXvZ6XteZzs1UeA+zJ/ScIMFBKCk9cXFFiic/NYlqOs1APSKqQsZW9SDjTbSVARELZyqUu5PJnXDyJMkVrW/W313Wjdvs1AA3AWMPfBjONw71xGIGLbXNzmNFNVDsHkJzxCBiz4acnEaeBKacLuG6AEVpJf/QRDS4pz9caOja3NHk2pyMAO548eLKrD3ngkFeZBclDPLlEADzHZaE2L/rh1I7ZgqSyBROv0CbzGbwcr2G66cCcU5OEZAi9WLqDAHeDVmSbyMSm0ZjzZY4fU0KBMNUEJMqzkn6lPaM8Ik/phNtMyMTr5EWfYflb1Ooysnk4P/Ypmox2yUmIgTf98PPQjzwPUS0h0DSISgnGU99awxW/AVhbDfAPqug6CRK0aj8thpALLQiCrgGwZX9ssg7RbMmLjZ24GARnYU+rUJuhCZqfk2Rc5InObmzcnZcWF++4L8BuEqDjMeDWm32wEBuxc9wWCfgkrIlWdV5ZifI59G69jwPwFwcysoJn7v8uYl/9fWjN8gpca8tiocquAvUxEsBCV6Gmy/S11bQ8t77vCYjxc9AO712eaVHOxLPavKVwZEkRCYuLWF/zZCQMu8kuBCScrnRCO7dFZhshACITK3iswCaHn0Rs+hCyRx9Ex8G/QHx835JtZYVqZBYDVa7noxZkEF+EnHJb/OSP+9h9jRonucD8J5d3fRBJ/Spo2QG4/QOY+/B98HKrB4zMEo0XNNaLuQnopRl4pESVH7gFbNnE51mNmyQgevwZNc4ndjpwoSxW+vVN88V3WGqOYGs4/ox5PqMtkjDVvNy0FfgRZbXcGnifyjItxKVgoq+VxBfqPs3fAdj6MAIGI/7FYTR38Ty3OC9KzxykuZL6Eivlue0RVYXr3u5LAKB0XIAXFhR19X6NFry5T3LdqYEAdd9dujCNgfo3/oLu1Yf55DdI2Sxe4KM8TgQNUEvIAAAQAElEQVQ8tnGEHP9oqte0wE8+ndGJsvLBytwEiTwMpLT/mJ41+0Psf/StcDxVx8xZA53qdUkFcOVa38xd6xNwYuuxYbBKCrKP4akuWTwQNAnJGHALATP5V2LlrsXDmlYfWBmlLLdEXhWieTT6auSEiwXW7ffGNRpzuNUBhmehSeC7E/g07jVhlIdl+XbZifs7g4yccaPVwwG69QQY6OHtMA4aBjwrC+HQ/E7ysW+ocUAyLvLmzv0AI0/8G9Rr44tyXnmyFvbLpDDWXFlkfeuhBuv8Q/QsWsi8/FVorUvP9yZP2nTGVvc6OCmbgBifl8/gdqpnTFnw4gEH0JoXaEzgrw74Sx+O81YyHNIAIoPVeoJAGlF3YRGQk3BpHNQDlDZkZPHEIbUgJBNtXvrxA+Byrb4Mptare4xn7oCTHQJbIOeEkldHdhQxvrlEehnJZW3l1xoN9Jgsorc9T6OhAC6PgCWZuQbPC42ookURva7qivZ356oiK/fByRfA2xbw11TPEqDOeYsdA+3/tuTjc7UALyMhs/cijQI1ZcsCajUg0Uzgpphq/+0Lz9w/WHcK6gbWl3uQSgGFVhYMCB/PUh+DhtxcC6OnTsp6B3r6Zcjl2FKbE/OAO43vCWq/jXXTYGtOllESY3uhuU1EstDWzVwCmFjGwp2/gmKOxdvJMC1yneFWOZsb6n4ea6g5n/MDkl/YCW5X5JjW7piuV+tgHgZz2/OieAQIls+IiLQgNJGCbGOGhuEbm7DjHoyjxzA99hXoo8NIn7Ox5dkusJX5DHrBf5FFLMd5gcCltl5oZpEKxz6m9/YFHODOkzfgV3I3IFrYkMRFHt/a/hcBXhh56QCBpF/WwMA7qQwoG4A31QODLr8ejBIgamHufTTHDnTKWngu5nLcNjZ2xNGlJUj2c3Ci05T5KepfHZ/7Hn7miWH82Ikq+kZasg9dfeA53DvxHDZqs2Ac4P0HqxicaiIgUPyJ7huWfafIJFH1HXxv8ij+2fTjeKwxKs/D28f8dved6Jtz0WgA+8Y68BItHsjMFTx+d2WSE1leHHBncX3xCM6849NyC8Pare/FMfMmNMwCOlMNaKOnEPur3yE96cn5Gu94i3rOh4+Ki2QMxiDK2ybgnHwQ/tQ+pI79Mc0zTWTSYr78aiJeCNDrDNyvpsAqeKzwS0mnw5/njsahb+QFimYLGQmgxGU+66l3EbDM7xd+AMtyJd1oODJ0uzpxyqUBglLXWQIvhs+e28Z3H9LAPzZLWfJgXW+Y3lGFBoaY1sQd6w8ApCvP0NAasBGe0GDRSwxMG5G+1eraiQlaHPCFg3SDnjXUuBzpZbJirN7Pi52YHdkgC2RyVXTl1LhcJFG1Ej7npRbpuADr9xyO6lvkFHX+PBAwoE5EEW43A5Jzub0QCd6e2zmAP6j0CP7CPbKB7NwTyDz2EgLgrwN4fKa1Z6wb8pmMGZK74+iW8ZvU6wBvKyMJb3rzT6CQy+C3/uBv6J1ceKbzmWHkV37p43jo8/8NX/3T/4Trdm3FL/3qb8INrdUffWq/TL/j7pvx9T/7z3jyK7+L9QNqXmg0bfwf/+H38U9+5oN48eE/wm//+j/Fv/+NP8Hw2FRY82sfaK/9KdZ2Bjb3508BFru11fL6cJtjs3Ii4gmAP3Viy7zZH79ffgpvD/XKz80Siz6NTISdcLX7LUbCWXSHbqoniq4qbN8LUS9WVlVmJaakMBHv7UNAA+zW0hx8UhRGUjkkZz2a/ZuoB1OIdwYwtAApmvi5rhJNFClbx529Gng+KF/rorzbka6y05Wryo0Nngx5lbl4syPjEUiRftmAtkjYJ7kK+TygCyATbivDQt42Wg0/mmzBRQB34uJO7IgsPFp+1nS+xhaac3yFgG+owZtuTxFaTRVeQZ8FVN4XMtDjWPzer+BlzJ9q3mI7+vyKcwh0cd7zSTj3fwR+1wAYhAn6NsD5wD+Ed8NdzAGDgFJeEZaJvwWeNkUCO0+2VgA/ECijMG8dxJfvd/XDdBLUvluchDFWlGG7p40oSyS/Uykk7XlLxXl7jj27A3zsIz42bVzIYcYClOMDaNZ1CNeFUbt4gpi3cidhQd9/QZhcWJNKifMnaULzISYVIKGol++zxeyxP9dw4q81nPmmmHeHv+jj8OcEJgkEZZDv8s+gSs4Md+LA9M/CPXfx/SuOhT6DizMHFW3wzgAJGoc41Zhl/8o7a37/9guWRe1XwUrTC/sEpqZBYIFaaDbqU9DaFPt2/vZ4xMNjBTsulzr3KPL7/xgpAobaeS8VFy6Nl46GapACA+wr8UefXIp4HukDU9ISkRUfVoCWU2CXq8+a1QCX2mWJ+h8x1e68Fmupg9vZND0/Kor1twm0ri4hpVWQ0ZLIaRc6FQNs0bYybM3H/IudFg78nm8vyHJpyvRoLvE0HwOlJJz9Jp6rKJZ3JzQVWcFfSklqZ+d+UjwkJKldKZcE8qw00BNavfPCwplvaJghfi5H2Zc8psLnw5Z7zMwWZhx260kO5p3x3MNyETUimN97MIpChBZirFhFxCI13rjmgAYWIqnrp8iyx4lwX14GXHjuZkajdQ5Tz9cxXeqFRxM5z9b1kkAqQZodMdRql66X2N481vgEtmwVEFTm5LltBLQAvt5BqQtHu5X7bIve8YWsS8Y8YUkezQsFK5la2YsUcNtQgJA2PQ62mOZS590Ajza5ZQBs3c4Kbt6gfkfypxAGXXyAKVPJbpFRih8jpJALk3usMUb36ID7fzuAFW2D8VhzBG52HQT1e1FvwjG6qdTSh1Nia8IA3szhpRkuk8rgJX95kqIxiMeqy6kmJQaQqtKqnVuXxflZZI88CJYpJWEJj+cQ4TVpMTgOfmaNjrLiMiy0gzrRfsSap7LZZ3ChfSuZ9Z6L7DeeRe7Bx7CcZTqXW+xMkqUCArSDlC9BGQgdE9er97mUnMWWxNa5CbDONXJ7HD5sxNGDhHbhvRW0XWBA1LcMTGwqQZ8O7wuX9+eFOhc/r6iGyCrdS65NH+PyvCAUzdlcp+a1mCzfgYyQZxe2gheCzMow7veVIRd/VfXbZR+R+4uaj38bAu38lUFeE7g3oVNp4KzRId99nkB3JrCM8a7kBo7iW7WzMmQvmg+z1QxivoEN64G+ah6OA5wRTVixGOKOD318GqSFobB5E/jvLCFwvGC1wcggSe2WpgOcHxYwoaHRV8K014BZHqZraDI7jHCBItryYWISYOBXZrZ50VdQS20nE7GtWxfI6ObpAXCf4QWDaF7jDI8AYA6NmXCi5kTotHAf8YgnJC8IMhtUsnpWqAj5bFjC8+7kDwVo/QDcxuLU7hq9Js7cA7x8ZxGttI/CaAo7Hu2EYQvU3SSaVRM6DYm82E3VyOOMUwGtEaK3VkA6JUnS43mRddpCM43+0oX2jCX+eGGCgVHm76UmyPEIeC+bAewzGxHQIlbFV3pJexXjtF5oxOoYvP4RVIOz2Bl+sbBvW1ay6bU6So0qStSWjnX04vl1N2Bu1zY0AxO99gzWPfkM+r/6HN5+yiY928fpm7fD0QxwG5AVtHmHW7P4reA0TnnUB2fnZM5diQH8VtedcsuTaAGExEDUjbj8GkMyXcJjObFMoHssa2Bb5Qw6Xz6OgPTRg/E7sa//ozh0x/8J/OQ/lcZhaDXAvz9mfuGzAMky3Ab594lqNSACmedPR/n6Vz6LVvVp1CtfQ6J6FHed/G3k9dl5lvaIduR5WJ//H9BferqdDJ/eARPYeJDDV+q4HrOs2mOEi3CdRvk84RkBTpNePmFWkfEEfFo85bzYiRH5+wJs5a75HpJMDAIYcxWOwe3sxMuO6ksdTeDkKVU/b7vD7emRxwROnJSsmCMV7FxDgyZs3LFuP/oLVZkh3zmdmxM6zQEczk5Mgdvdy4UzmCzQXE3EhBhC08lSDLDS6pwysQZPg4Wpk9tIdjFw/Q11/Mh7NHz8Yz7YeO2ttwL3Uz/kPnRRlfROuQ34mQKqblxmT0xAtQ1KaaRDUzC/KOMPbAbCe/I27+Qs6EdegJkNsONnfCz+0mRAlywYpvWMrlD9Z1Vbq+VlxiZTgBc9eI6XhDe9+Sfwy//wIzh47DQeeXLfPG1xpECgfH9PAVs2DOCOW65FMqHeIRtC/fYf/g3e94634p/9o49g01A/ch1pJOI04FIlz+07gnqjiR/7kbfB0HXcf+eN2LCuFz94ej/lXplDuzKnufRZJqdL+PXf/DPc/aFPyU8BbnngFxaEcxUaDS9dzevKwSvBfAH1Pdvkp05smceCINNqt6pv8OOHTstBj2ns4kJNpDZKWM2fk10nBeKIl4XTKC5YKvL8KLlkaBSr83S92piPv5LIpmQnxtMWOuwm+oplnOvdjFjZgznXlJ/TJTaod9dFoDufR9Al3rghgLPDAQPqTo4InLGM8+OBtHZnML456IMnm+xLJhaD7plwFTlZUQP5WaeMWy0NZ/M6aF5BfTyQZdtPwwLOTHMAEAFSmWnUJnzwnx8qaToNjpzG6wC4m+VheWo32SXD19WjSSqy2A5IkFlwLZSnP/swtOlRmtwHYH/wH8K9/d1wr7kFQUcnRHkWvLfzgjJv4IR2mhRoAraFqZMAaZIQmlsgCGu5jdBdi9qUAwYXdRJIrbOTC+5I0DNhQtAzwMErcoUcSPjMk4ygASTERJZQiyuNrNyN5x4CwvMv5hH1MvUBpdChNLU4+5LpxMjT6HzuNxEff0HyNknuZCtyTjBQkuwDIpfqFmAgkEFQBuMvxyKX62XnNX1MFneSQq1h8jg9ECau4Pi8vNc1s3ReA7CCEytwCnCrQkWuoC9IiTYrI/KMrW4ltMlE6FVpiPwagacHDwu8sE9Ny/wJJmczeM7hSs4sq7HCzm/G7I2/iPLVHwWXFwSg8LvS17DKoNUn4PkCJa8H6UtY8uj8yaWvIdnoe0VgO99bbEKDUaog8OfQ2joInj+xyj9ug9zOmH3gTh9Dt2mYC45zEr3aRmgknMtE6C23rQzvJfrLU4/jS7bqz01nLiyhgiBZQxBQf4SJrc0OfDntEnggsBrrdp63jLqQFbUrSZIQejMHVZ/hPsRtNiQvCHLbCQS5LQAr7vVxYOIZUoRosYufQZP64wLmtgT3CebnctH+sZElbRct6kasvIii739CJp33/AR4qyC29NFImWSiqBQ5QJDNyzDy/FaMlB/qaxkzIi0bHg23lFs3SA8z5DImnsXhl26i5QwNHW/1wHtFl2Z60BlT52PrqZD1zeBVfALdAzlkkw00GwkcLA9dVDNbuW9JJ8F7uf9wZmF/uIj5VSDoMVWJ202KLkXF1CiiH04d9YCXCBRgKzK2bqdsJKhLBZqgtmfS3OZj2rCYLJ1ndVA7CiskSgQo8o8PUnL+4K0ROXG4VYSd30p12dDrTbjWxc+D+Xy3iVZZgVflEDxk+qvhJqluroetgzm8HJcSg+geHYMvWmDLQs/KgkH35Mgzy1YXbSfjWm0EMwAAEABJREFUZAbhw8b57ucUb0ccgaGi7EdxHs84ze5bhLgzyMsLIw/QwmNy/0mYk7PSyKjjW89Bny0z2yWdViOdRAj4aSBL83Sg6aimq3ALdP0kZ8WOq3mOgbn04y8huf+ErLOyZwjFlMrLi12S1u4VCHQ3LSVHN7F2uae9Lp8HUCLw86RAHvNW6Umlz0niGrxIxudFeZ6zvUXtlvU8l3Q/rvLamRdwgyVQp4noBC1ARe7ZVgB+B3nqCz+eEvgPOQ28j36gmTivd0BrlcHgItcxPBpgh5VHl5YAAz+PNZRswgtSnD9Y7OUAvK3J1qT6wuBEs4xEp3qGnGl05qFZqq9F+7dHW4v88HkBtjRNpkBySB0MKrMcwuXY6TU1v3KcAWIOjx7VOJh3DN5NEBufohAaS8xntkXat8q5Ma6e/3fq5+Y5GIzlhLBdDhY4Y0a1S6+g7nFBZpjIkK7Kr5znVl7gPvxHGtiwhOfd6ZcEzn1LXXe3fjN0pDDXU0ejP4ZY/x6kd30Y1TuuRXPHBgx375Y15nddmPN4cY37u+ka6BRxLAYI+9VrkIsXsvAyXrQwsefaALxHOYOO/FxtG2jFBeK1bnilFFokWzkgYbOtnlJJQ8/VzyEVn8J08yB2mHmZeyjWRO2t18jr/8N3r8N/fkcXHundjiNuL073b8PXB+7B2cGtCOiiDerfJklZX70mg9NbfFme3z+/Q5kIvb+pnsSBoErSmI5bCXBloP3ns9egW09IjugdlSHhYPk1BsvGMvMSnk8LK/a9JOwTX/7oSWj7ziCSM66j5xKQ3iqNw9pkGmntTjLsng1KcGKQOTofy0Gcr5G841NZ+8c+haqWR8IpIvV1BdbTqdRRLsJ46EHSc/8GYuI8tBceU/TQ92Pqneu06BGSXlFgzqk252SD+bFZeC2wrjBOo/eIlca4MS3PERTWS3maE8l9x3FXYhD/9+luZJkg2HPkO2xl+jESbtk2c1jVzwsRvO0Of33NnE89o76ceO64BofGnxvWHcfVXWfR0dfB2bLPc4SflyY0xEtllHofxVTwQ4kFGX4C68d1pJO3oDEjT47kAJdYuxsfF3BdHZ2pTuzoV2M+NUWw8dq1lGRjjqVqjQD1aqJ/PrtSozln3nr9FHWaBvj9M4N36/0cSOcPbpFhVAdNVTLd7q031H3xs+Rxi+WZkgM4YznoND541P+2WIqnvdxq4q8mz8ypAFfaFc+osWG5++juzOGXfvJHwFbunrc07xPPHsD//tLD+P0/+wr+42/9Gf6vT/04DF1Hca6Kl08N05jRwC98+jfwyX/6n/B7f/JlNFs0CNIJJ6aLYIDd4kZCaT4YtB+fLHL0ijjVq67IqVY+yR/+76/jr77yffzYB+/Hf/rVf4T/+m9+YYFL8l4LK1fxuuR2zPyJPC8Lggy8MQDX3LVB0to9ngzq4Z5pvLd7lKfR1GMhBx82VmvlHglnoD8/BIZZAM3/7++DhVAiL3sYYzPzefq0EjbmCZcZ2WhmcKwrgQRp9P00W73U0SVrik/XZejnJ2WYMkArvUDHQICN97oSRJcZa/Bqm114MUBvAeljVGFb2d5eleguFmTkC9VT2GYCWncGZ80Gyg4JXEWZNe9x33O1NCn5QDI2h0gODGiUDAiECAw6hwB40p0vdIUiZmVYnimyqJGJ18nTw/3boxXe6DIYcIv96Wfk8/EzeTgf+jlaKVaAorS67lN9Qe6JHgI2UdnXO+QVUePp70hByXj86+B70Y7spdXrvRDNOrSMBVeLwUn2wKRmQPKFvGRDy8uw1WOhec1GGbfOjcsw8viTM477Xf0cvGJnDPTDdXQEzSYixXhxpfy8vT13AK2G3Et/cT6nRUkJYRzX2EyBI6twGilruf1/hEhhT537AZzRMs4SSEzdHvyDjtt/1MfG91xw13xcYMv7AiT7AOYZJ2DwZQIGSy8D7NhKiJUYu6ryV7qMuQMNuIElWSqVXgTDSkGUhCW86X0aXKo3TkNB761q4k6Hr+JVxkeWOPvFJP4qQRD47WTWLQCAmJOGTHznexoJCpwCWMnkmE3AD4dW8QQHKzqjrsZYl9oqM/LCbHnHR2HnlICoNxcNfMy0hBMktKOh5gVBijaPj0uwKRK1M40/0bVTEKku8NxXfuAWAkuU8qSYVuebJQ16sQE0q/D1GqIF6tWUHnlMYOYgwErx+vsDMCDN5Ubd0xygT98mw3Zv8bYybBHXvpdohWYEl1QEL7DBbTcq67h1ogY0VwPZIIMnUx4ENa8P1IyIZdnQqGoECALtSlI7M/eDlazb23kLuwJc9UkfG959oX/xMzj1JQ1cTztvFJ8hMJ/jMeoT/Kw43ghoTqRISrtw/TqNhUSCe8v9ciyPFvJ0WlQFKZbRYiJovGc+dk3PQ1I+qABW7EJdnLfYjY8LMBCQSkEqR5wfrz6Bg9/fgWojDW/AxfV3xpHuAfxAIKg0mAXF1dkkSN43vdU/ATu+DQM9FbDy+OSpPfhmgxr0ouL/YBMN4kR7bKKItVi5R9byuqfGlKkp4OUTgmpa/iCsQGa2bDWOaNNjElRnILEeKOCCF7gYaGfGJFdn6Eh7JhD4mNM0JkvnZgdlyB4vprH1a0qYiAB2prNrBx9PxeMQgQPRcBFdP/O0u+YsLcqHhFirEsZeneCMo54Vy9WXW2OmYSBVqcDR6XlsuBk8FwQkzzLoyYvmS9VrNKYl2cmuR80fQSNVxMTVw6hvU89cZoZeoLq4HM8Ia0f7VjLm2CzYsIhZnd4CWDdh0J11JKat5IyZOZnt06JduiFg+BaNtzVUdnZLeuz4qDRY6vjyU3KvbJ5zKm+7ARM7HKlDxdGDhKZ4ZYE2L0ZyG+/337Sq0AkgbMtaU9QL51gt/BxW0Jyp23M0r8fhx7JrqitidrLrZDSa6wNDyTpMnKLXMjomUA9/eDA2fRg/Y1bwbzs0fCqjz7ufjmv4QFPHf8hpuC2m+kBCgJ6HhhqN703fRwTgToVqIFu78jlYV2Lw95yr2vLQpELBeKvOzriBGPUt1p/GOnRml64w2Na37KKk8TZNvJXJyVMCDJTfdV8Lgemi7lRhkj7DbZAZjXDbHI7vvJrmDLrdw0cB3n+Z5SGms9U2h/kcLgKimR65AuXzXFKrAdc01TW1b9fgFjKSVQ8tqmUi9LTQ6CyI0QWEtKWCNIHuTK+HYn68AOSoXxhpgGVYlmdNAtO6tXBfarERPZqShVrb1qF8w05MVzrBf9mNF/oTfxlAUyfyzQxMGr44v93xggenZ2bZX9qN03w6MUnPiG5h/XpVN4OODLy/9TYf67cGyBJdzPbApamUt5Vpr6kphpFOTUFzgWqpgV6DlGtiOONU0LxqPfj6f2hWoWkBNtaUkn3yFMkx1Kbmdm5D8aN3o3bLDpy/fgOe2JLAObcKtrSnKlCcFRxIx+3rMLWTcj6OzUYW/fUAPZ4h8yLPCL9CmBIX+lF7HRHfcqG3uRdnB7eBn2nz0ZNSzujtwbycweX8zTvlVqheqCuxgVLhC5/B28b/J7ZNPYThp09L62bzSwSqtxpgPt46tZIYwNMbfx52Ii/1Xf69MpaHNNJrOa6T7sg6MDvGC5jO52PH4yU74UKOmXiFf9aMJmuwuy7M1ebkCYjpCZzQNTR1HUOlkuTRWwnUw99AioVW7ruKHtwUXQyNmjrN9042gVHq41ygjxYFRk+r93bdbtWe+OvrCHTnLydKJYE4XcLN25UexnpH9M5nS1RLLA5d06ER5uI7gNnqwYB2L/rzvwBt40+imdgo9TOd2mw031OpNR3DI+oaeVFgLQVZnmD+UX+AA+nk4pCWgD+oFvkN/sKTdBvEiLZO0SRjNg+fFl84HgHyHG93oRE/ZunVsP7UHZ5mapiemchJ1tviSRm+Xp5Dfe/wVzxcaXfsO6o9rXTfn/jIO+SPnX770XDBfxHzqXNjeP7FYzhy/Cwy6ST+1199CyfPjmJialZyduY78KEH7saPvPN2/K+//jb+y3//35JertSQTMRlPPJiNO5XqvUo+ZqH2mt+hlWe4FvffxY//8n3ydUNflC8p3u7M82FA/Mqq33N2XRnAro7icS+k/Jcjeu3yHApr7lrI7xUUlp9WKGlBvPFwk7YQgmr+YsAWM/qmGdnwUGQQBU7PSYF3PmMtggLvrwSHZGMYjmKvqKwS0/gdCEGM/DBP5w6mleTcvqsEt7c9AjiBSAuArz9PhfveL8Ltlq/3JPy9jMMuvMnVYmz+nw10fYHLHR10eDJlht7W5PYljDwYieNfsTpt30WSEl5+BZdHMVyHaRklC4MCF6MBDVNg65TWZp4ieWKHpEVCIN0V/TES5wsApBFZx7ZI38Da/QAzD/5DAy2pib+SChZvF+5v3E7gmwBolomQPth4nzjHMaLT0F//hEJsOv7n5D3Ii3x+V17LlgC9oQBv5HB8c9rOPkFTfat2JkJeRNe+QzsoR4Zt85NyjDytGhLmXACj+iXG4pEHHZLg0+rvoIUvOXqcW+5D5HApz/70EVsYvr8PM2YUcLSPGGZCCvo+Rf/SFrIeVYW3B59V8B56ll4NtBBikfPDRf6TXs1GRI2GIRfT0AoKycki2P0cU06thJigJCt30+uABRyfZWTHgcwhC2B9/KwKdMLPZWqjYp5AJb3vFZUQIupa2zNRpQrF1qlk/JkkWItE+SxchmB7akUsLm5H3G7JPe/jHiN8jBxrnzo9SnJ4C2ysPPjao7Q6wvbp2RewtNaZVJSAtT8NAGodeiPfBmiXluCE1Ipga/B9AngoHFyrVvAoO3PmhbQCVgNvBnU92yTFjdYxd/kCwJzxwW4bW2gxZ5MqBjPOKNwUIKBGLo0aoRY+McWVbytBFP/vHIM/3H2eTzWGOUk8SdQ8izYNO4HqRIIK5D0CMj2hA/P1fFyLAUI4PaajnVnDGhNSmD5P2tWk5nOEl90cT9i6zkOeYFqOet2WUGbx3zcvyLgnbPY8o7Dxa4azn3RVjWsAPM2AMyXFCYHNEY/BG16FDyGeHtulzS5kLfjRqlkyvG+rOQUn5QPyUBencYlh54ZPwHTUv2MyEseLx5gLiBSlDRvDnMHSjh/fis8TeC6B+itmQJWp+LTazT/Uk0M0tukvFH0zeNVfgLXX1NDR6IM85yBZw7VwftAt5+iEDNxS1cW/J6/M0YIYHvmSnGxUMF5+BENz9DCa6Wq3u1SRVkJZ7qXpX5LCi94Pia3XmeqcnfHL5RPaCDYQEAIgyIBJnTVlpnTTfZwIN23G2dl+M7kkAwXeztjeUna2zyHgBSxgOozlxl75yrDkpc9+1Xew73uk+xBFXeTXE3BZR3x6aPQYaHUWUBdzMGPZVHd/A7wHy+aW0U1H3E6crwdAcc9mkMqgXpWQTcBDkv0Zz98F4LkAN67ncttNQSGGk1kvv8CJ1G7ZSfKD9xK4/lWKTelnziA+CFVr2RYwjPGi5Lq9PbJMOlkZFjpVc/EnE7XzxQAABAASURBVJgBGyzpNVr4JF2qTAu8zQ15lAP1NVNe7JL8S3mWyMOnhZlqrgljprwUy6pogR6TfCKUwzSaM5kg9QWOXIZzM+tlKQalOcLvgEN2j/xAx8OPCDS1LPhrBaalRp5Bty7ABkWRa7yoYYT619ycYJZ5N2iql3We5kIG0DljakaN0WztGulK36qdA88HW1CA6ZpgwDxNU1yOukWhmYFL77rUm6XFKMCi1hXrV++I5xFeyOJ6xUQGDMhx/PbbAuzMqfe3fVa9H/66L9DjEF4TeiizMEj8jvt9sPzDwNfXv6mBQeTIanvLZp+rW9FF+7j3VvKI7ucIgbtciI3dODRmKxwscHoIuLv59AL64kT3dZBGJSzH8kL35g/6GLgrQE+4vdvkPk0udCdFHzbrH5Fge3sdJZJRormddeEo76xXgesF6KTnG91DlMdhtI/7xCSW3HKHeaL59Oqr1DtlWuS2Ehxx1x10rbt9iLGNBLgL8PYeUb4PG0bP8wSMghaycmBwNIeZ+Wd41q3gSKso2wU/180dcVl0fFLIkBcEAkIVGdsQu7dL2mF7FpmUupb2Hz19rDEm8zdbWWidORln3EJGQk+rNWSsLBIyZG8iPBfHV+PGNmxBic7hN11002oIW7dfVC6WgHvne+F88OfgkWwDSm/QTuFqAty7v/8HwCNfl0XY6ID5OFGjOath5fDink/BJ9CVQXU2NjMf+hspG3E9bHC2wECBC4bOC/UPo0oTVki73MAoqTraZcnYiSdJVi/jmN2AaLWwe9ZG4JPsLgyaG5NobR2Up0vuOw6v7sNNk05FC9hG3YHdmcWkn5T5zjlV95bNAbj/SyJ5DLrffGMAn8aBgMrtLIB0hFAXpjmDmgFxAbUKtQ0C3A0tBWusH/rj70Vm+B7Cf0hPIA4v0YlIpjZX7nbEvfTBcuCJUypv6xbV1lTq0r4oz0qmFssXMqa8CVq48jer+YPxAKa61ykZmOORC0IAXju6NyItCAdpXGbCeVddVzavwmlaIEiCZBrK3GA2sE6/zJun8q/00AyBzs1X3uWHqG1c4uI7MimJBf/OH34Bjqvm/fYiP/HRd+C//dov4Xd+/VNyH/ee7jz+6ssPA1Bcn/qHH8Y77r4JH3nv3fjVf/oP8I2HnwG31yzVy1vKoO2v1bIlaN9Gek2jqme9pqdYXeW7rtqIK7nSsLqrWh1X8uhhRAIgrwYvV4onpkYIyCdeOAGU65I1DjUQNQOaVSVlZc/ObZUMHpuAyRgWCJDmmBJaw6z5wAhXj91CVtIEjVrsZOIVeLxv34HeOGKeg41zVRwXOqqdA0jOeCRo22gGJcTDTwK1JkCLr6/gbJBgPYPugUED/jkd8RFd1tfbG8iQhbbIcoOFSLmtTJeFonAwN+mBIpJv3rM6QTMSTKOBxrSqA/QXhII1LDoRpVFe+rly1mvhIisQJ7R+eS3Osdo6IwA53jiB5ukTSD/1B0gKEqA68lJokUIJCS2L62OBJUhnqR00oBWn0L7qv5j3SqfZ6p7P6e25g4Sv90mLThaa/M07gX41Mc7aPWiOJ+RqvD0HBM+OkMKhwzVdBLUJ+H5Tfu7M/ciKtpXhdtJqAPw8snk+xSt2Bl1Pq6HRc7RhVoaXr4/OyUIfMzA4tngVXpub4izpfBKaROlCWhLbPFYk+cc3WUFnMit7bClX7H4nypMdyOuHsHH7IQyS4sH5KzkGQreQktJLSlhuWwB2DCyy8qFbkM+39LJYsoraqED9bAuGsNF1lVKU5464S/IycSrcpzq/K4CVZopy6bHnYKAJVnzYKeqV8WNTyiIyUqz5rO1g+6bqXnxk6r/g5vG/xNWT38UYybGsdHukOOh2GZFyyuWWcnqrIsluSs0lMkEel6cAeggKcHwlZ9QmQdgpin4nBqf2wjj4DIzP/y7AbXpRQe3UYcTsFERHN9iS0ekvLOJYfTJxghQDWrBt0eUv9YXYcjXxAg7ndV4TgNsSx9mdaSlAqUNcbN3O+eyibWUea4yCF2dZoeRPnH8iexWcQINDwDosBw4rEFyAXJCowaOFY8fWMUcoP38qfJsl6PmquQgr/JnTmsx1Oy7MMZJA3vnvabIPGNRe17/dJ8raDgbeB+72weUrBKyXXl5YnvsQ6Z7gvsa8nDu/nQwtTnOa37Hx4pMy6t3/UTV+yRT1z1vul2m24tIqSmGJFleb3GCIL0XzPwWwLJ2DJZ3tYN5SfecO9RxiU9/Di0/cCp+eeeJqD30Dpiyb6VXjAf9wamQ9xX1GZr7pvapPIJmJ49bNND7qPgYOlfH1KRczi5rhO/u75Dmfmy6v2so9EHFZRnPnwCBag+YbZ+48hs+6kr6UZ2RUu+AFLr+rX7JoU2NYT4swnGDr9k7VlTgJtigTpgaNziVcDxVa/JMZ5PEYSgEkKGgr+W3xdjKcz+6uuAIkXmidR5CwEBCsaIULpZzf7hrTajxnWuA1CIRocvRVcacdNcexIcvlVCgICOb5Rg/iKOdzqGNUVmPnt6A+eJuMp099F/HxfWDgnfnZ6a2KzGslO2CjBP7LiA0cXOQigxmdFhlPuCqbP6VPP/YSySg0ZvYWEI3jjeu3oR5+3Zt67jASBPioEgt9lqH0ah2sJ1V33o36wK3QczdJprnU5DxgxLqWPdSLuQ+8FQymVmhxwKcrjqMHCY0mEFniYi8uuhHQwpGT8NC+tebFnCtTojk2ks95zuQSUVvjuHRr8KI6oyIeLZBwnPtMsxkgCAAGhOptVu4snzFP5M4Pq/Fyqk2H4byB0HR6mBbHGRTjsZTwOMyqV4zo9wu+WFNzZqFY4GKgpiPDzjzQWy/QQjxwxGphu5nHFqMDTj9lAGAdiwKstwvY/ywJc5Rga1gG0imKDUYGdxZH0PQ92LktcJNqHNHbZBI2lnrfe3ywNbJtA999WGBiEjSXAENDXMvKLvq6eYLA2eh++PcYuJSfVkCiaIUNlYmh00MQ3iXAMSQtGVg0Z/fcEIDlWF3douTjr+l4zmU5pDQvv7YNTpILqJxR7yazkV5kSOPgrFtG4AsUmlmYbfVyHjt+X/xMOP7IDy6ul9/hRPicovmUeRc73rZDK3bDr1rUU0pwUJMsUw6NY46DYLoH+ot3SFqpdgbrjbiM87as0XZB/Fxj4eIbvyNm6O27cD/8lRDTzroVRO+jVlP3zfRoO6/7Mutkv2WaXmlyMO/4CxfXE6i2LTbOzM5nryrC5z6dVGP51e7wAuv2xRX4BJ66JOu0fvL/RPDRfwTjltvhkjw0NyeUPti2nUilqu410xWH86F/BJ/39qYK2TiBf8OM62GZyN9xE5imVYoL9N1ozBQEQVCxyz4ENWO9BTD+4aXUNXFlxuQJtOhxvyRiBHCfwabZMnyTOpMmYBJAX6dxmPnYyt1zDZrfQLCHT6ELuyuDY9R/XVcgTn0I9BdZt1N0/thxdYB7bvBxLa2jDQz5JPdWZB6PX51q2MAMTbN+1wA0usB8oxOimUTlnJB8kdecVrF4iAup1Op9Hgu5DXLfSKdWX445Iyxj1hjgpFzo48gE3bff/vt0RPS3EBZAYfvhb1I0MRwi/u2ZFE+E3ZS3v6MkOnsCCB2YLgq4E+ohMSb2nzrVXMw8V9rxGLbzR3RcaXfVu8OHc4kb/gcfvI/mpwo+/9VHVuQ0dB2bh/px+vw4BvrUvDI8SgNiWMp1PTDIzvNnb1ceZ4cn4DjUgcJ83oKmr0fNYyHpNQ1Wd/ev6SWoyj/5kXfiy99+EtOzc4rwt8X3AxJcD8mrrd96tQxX8hiQZ2GRV3a1Z49JVktTL5w7oSRcwnOyg6ivuxON/pvnOYVzYRQ3J2bn6e0RPfyRVK+QkSAh5xkhCM/xV+KcfAZ13cCmEg3yXhP8w6lmw4cxV4dHk7s1RKMwnaASCh4UfUUHT171IXXPqVM6NBL8uUIWJjlkoZEBFLa8yGkNiFwML5EC7wQ+qi+rcszHrqEPIKD/dGaaOmOAZvj4/FDoFTEaLYlRWwJ0IvJrcjDAJug5elYHAj32mpxjVZW2GtIKXIycgTYzCnv4LCqVABNuL9yuHOI3DALdXctXRYCzP7gZQbZAE28dOm9LQHUuX+DK5IjpUfB2GI6WQXn9/aj03oHK0NtR3vUxzN3wk3Bsk5RoYMLZgAwJ2yxU85UZJyc4gBsKOtr0GJo7N0hatK0M05jgh3vCcfyVuhSdr653odnUSKG1VwZg6Zm7DJDRSfWHHgQDaRSVh1acQN0BXi73gPEUUZ6S9KW8xMQ+GPUpeFYW1U3vQHXzO9F0sjj5cA7j1euhmcBA6mkIUvCXKr+YxpN8565AWgYNEEjPlrlsKbTpg3wlwDQB5QyyLC43SzqBcFvoTBxE4dYMLK2KxjkbS/Ey2Mif/fL7YhA2qkvf/yT0738RiRJVRsTWzEIBkEiv2WGWh+kZNakfk6AeLp6x5Q9bcuWH9+JdZz6DtzU/D4sGHla6eitHMDGhrs9LKgDBICB8uQtcaayIyrNyvlz5drqglQjPC1DxU8gFai5mxYEXb9r5NBI29YlJWHaWQIw4GFRpz19L3KJFUKNkk3IgULld9aXVlm+G77F9YYXLnmwc5QAdmrIclIlF3g6LxiSipYSJT2auxm9334luPYEhAghKXhy2Th0lXZpvZ07TIVA4gKf58P0Y6poOTwfWbVTtNzahIZqHqNoFB9P1UElyFlm4TzyrIWqz3Ce4nywovMoEP4N2izt6lfMlq+dVe+JFqIhYD1wZTWmGDM3v0VhBYzMvQLIiKomRx2NKm7WPnylEOaiTUMsJ1zfBZ7FiGieXdCdPCgncsKLEYIIImhjb34FKIws34+P6d1nz5QpDOs3KQL0kkEkoxVxaT81zQFr9Pfe8wGw4Z7dlvRldwxMQNBtsGxrFjoGjyLZq6H6qiN8u++DtQqJqCgRWspU7p790/oJSw+nVuL37bRhBCXGzhrExAgKWKRS1/4BYgvB7bEHz7P0xgfcmNXwstbB9JYVAoFEb8bj9BZhq247DDRcg2dq1Fjjgr1qSwlzyzDusPHgsOO37GEsmqU4L0VeG7QW8ZgkxpwqhJxBLKaXdqY61s7yieN1X/bJbV6DXWiuL0eKu8JpwsxtQS6dRC0bmq2gQYNvsu0HOR6lzjyJz/Kso7P09dBz4nKR5JG/WtGlqDTbiBGBruNAf5ytZFDkfWvLd8vIZsO4hAfO7di/g4vmBLd6ZmNx/AubYxR3WCHURL52AT7J3Y91bETPV+N3EJGp7NoDrrt22C5X7bpBxrq/kv8wBctryi6vMEEOOyuhoZGggnivhcv+CUB4X9IwFyT5GQ6FHbtvXFGutm+t0w7mey/okc3E4Tt1MeC6Ea+PcMORzYcMHzotNK72T4wzMMwDF8WobyBmbOgTe8z0gxOF4y+VsFEKLy9kZmcTiLz5u9Emmp6wIQEvRAlihkaE5DziVFTAJ4Qo29NGzVP2I+5ZPoHHX/m2YH70XAAAQAElEQVRybGfLWLaGpSrkcS2NJ3Fq03YsDTYe8sIfndXrdHOSQ3kWVcfboDBYryhAPgcwPUovF0bA7zjJTdH9HG4VwVvFuZ0ZWcwolmUYedbZCRizZXkfvHAT0dca8pzNZZaVXw8JOb/zuMaGJswbOb5Gl15LoZmZB/6ivCi8/a2+zGNDMt6uJ6JzeOqkGgt5v+qVnpOVBtjABZODcBp0PcEoGv4UphrHodVNePtuRveOBESxB5y/wapz9TjiFMHvlxM3Wj3grx04zi5FQOfic24w1LMeT6v+HYHlcsHTmaXx1cBbUr2EPyg+fRHeI2wXhP+jZiTAMgKfh8RMDlbtePFmKt4p+a+Kh41cplbwYjTmEPie+ZH34Imb/h2+teFf4VjX/QsKRP0qZgmwMZXz4Z+D/SM/C+eT/wd8Atnbmeet3I+or304z4+zj2VlRJV7ad+c0ySTmwxkyJ42epLm1iomEnGM5vpwy0gRzrmHYTeVvmPNaPBpXG2FVu4myV1u2iX5ygfjNE4mgQkvTbo90E3jB/dh6uZc9UUuQ6cvWAHN42UIGgMDmqd4/MqFcm2pSEXoeZKPdEq1g/qY4OS8axWpEkrF1Gui2NqOw0dVfUPrLzyDVdXAGE6rAX5/M15eFokWqritBrRQwIslnMELKpzmOOtrX/iyDtbLpGxM98d6Ebg+Zmhz63Tqa4L7WACWn3jBUrOAKsFO9rk8dKQkJuaKclupN6PtT4C3fvnnP/dRPPnDg+1kGZ8tVeSWM6fOjeFr330Kn/viQ7jz1t1gy/g7b70Wv/u/viRB9nMjk/jCNx7D2++6CRrJhzfvUfjsX375Ybieh4ce34vhsSnc/ZY9st4r4alWfyXOdPE5FlC+9K3H5UO6+0O/jF33/NRFbq5SW8D/RklotQaENQe28LM39K7qsqL9acXR82DgnQXBqBO2sDpBsDFwE9zUhfPp1QaiP6Ntn/aIxqExM8cBnL6CHHw5wRMch6/UpeNJjGdMdDhNbCjO4VzvZlllaqwhQ3ROyfDV3M6hOeih1evLenlC4UgkTOrlJHbG1IDKlhvbTeDFAQslzUVjmsoUBbNLZyZosqVh0DSb5Dfh8zIx5URWJppOIyWlafZi/4o4s0zSNZ3JpcUVCi7/OH0M/pPfBe9RLn/U5Rt/Bt5vzqSQQbNlK6aJhPljn/33ML/z1xD1MkwCnltBjITYdfim87M4Z29Ac3IauYOfAwv2en1KhulT30HHwb8A/7hm+tR34e0g5SidpToq8tM7Bj+XPe8VytBOHkbLzeJw4xdw5uEkznxTzLtzX2tBrxZpUtRQSxRw9TsDsKCctotI0HNhpa95wy55pdrIKTj9SmpgywFhO2AaZwbZAgevikungIaVg9siEMr30G4dtNQJvFvvBwsOWqWo3vcXPwvrD38dqJGCUZtD99g+WlDwIEpTSxWXNHP2pAxrm9+JSmIXRh8TOPHXGtwqUDRvQGwgC92dowXHC0KlLLBGj5UBfr5cbPqFC/2S0wwaMoguSCvpjh8EL2Ik+4GAnsH0001mWeDGnlHlGXhkBUdmkoAVAcYJjEtSQ8mBMv5ae0blvDxFq1tZRnBi6tA47jj4Gdwy8yDWZ2eAjhzYSsZIxWH4DTTCRVM7v4XZpSWijCzhRWC8F1qOtbP4RkwmhdeS4aU8g5RghwDUol9AX30UFinaIrDCbZeU9TPXoZ0+jBjlIV2QlofOZVq3xw+dRfaRE1wlGltjYKVAJlbpEQ4hOWNtljKT/j7UvAam3AS2moMy3yP//1f08T2WgCnORzcBZp/pfCt+p+dOvCs5xCTpmD5gZFEnwdk1W3CbrqQ7FPqkolSEhg5XzS2DMYAXf6N5KEWLv5J5kWfNaJJid9LcI2PK4x8SnjkIcFsdersP7gsq5/L83HZIK3fuozPhnu3ch0ovq/raF6Gm6Rkxle+XvzzSRk8BpEi4t9zH5ItcNKbIjFioPVIisnA3w+6YTJtEVQcNhzhPYD8DBbx1UvT5O+/byxzG3Ms4euAGigpsvE9DJq1TXB2ZPiEjpZkeZDTW4iCtpyQx9J58SpM/jBZtYxCS3wzW+AQ0twRfz+HGq04il6whX6wj9mIFX6j7mKEmy1vM/EHFx9F0JzzdxEvFKv73aTWWrnQqz8jKbLtZxvDZWSTNOi3KBJgcrUv6Uh73BaZzuw0yeY7SnEqAAjWHd8YFLEm54CVEgIAWvwRMwPExbVKnpGwGjxkIoOg8aLTRVEAP05ZyDLoLv4WXzCTVGYNZGcbisbMxe0QWTXReDRHLyfgkyQYy8ip4p+2yrIUX/jiSPP8kkucegxnKhExbyVlFNZ66XXvoWanrq/in54vUB2+TC+gMvDuZdQgIMNHtUDcobAFbjDNzSlNjJ8cXOx7zmNZwAvCPdmq2i20vqfPynuo+gTuc3+6auzaguWuTJMVODMuw3dNDgyA3lKc4z0QKcfSA/2rpKmZ//H40d1wYq/mHsT3USG5PISmWv14uzy5mqQUSt/rKFkjcpFoI54XsaFHGj2X5FJft3KxaXOAK3BCUZoDHqE/ArI2jOONxFlpdSvbkhRX+SoHbZ7Eks6TnOgI6yeIsg6dPfxcDpRPQAh9FkqFAf7wNCAUYHqYORREe/+9KqOfCRkranBrbcyGAVqAmlHESEgjlPd6LH7sHvOBBReV2I0ecWVSnTfSU82CDp5tvWgiCvTf8qnKisJWLgNscABi1KZle7DFY/477AvT3AbfevLCuxbxRmq/RooGhVgMSzQRuivWAv1rb25qSgDrL7IImI3ZchsPks2pRvr6GLey47GLHc3Ykv06E8mfEw1vejYe07hsCOc9HeXVaAORrNFwDBQLc06ml75Vl/3vv9mUxnudOnJRR0O0g2lZj8xaVr3KW9jMbA4ipAXgEuPMi1WTwHPymgP3ydnT0pMAW/NbcBvgOMAA1HvCCAL/fFC1SbrDSaL/GvvCLcrT97bQKMlVOqzEsapdfH51AbDyPrhNDOLDXgJ3LSj4j/MJAJsjTKU1YGMpmCt21F9AdI9mY6NwPKFjV0UvX5eQzsEmWyfh1mEss7q1U0XXX0kKzlcOLB7QFbNy2mBD1C44HQ7TIp+scXeB8AuCl/kX6YaRnR1vK6CG+sKDAGhIR4O7kLrxza1oJeEeyedQLPbi2pZ6vPfkwRLkEc05Ao3ddD63cPWpzdsqDIHlWq7dwPt+PuhsjXgHTA64L927HEn8t9UqQik/KXCczKMNMWsiwZVOtdB2csIJZxKlJ8FzeDrrblYCzQU1KhmvxuN1PTKoSW9a4nUy7MVz0PtevU9cStVWsUzqXf83N6iTkHyGAv1ajuY5EZEpKPZTDaKtdjre7AV2lhl2At/EyUgFK1K8eJ5m8MtkvM22/KMM3vaWfwIffcxcK4ZZk7Rz/z+/9Fe7/2L/A+37iV+UPp/7LX/gYPvGht0uWf/3PfkJaxt/87l/Au3/8/0QqGce//meflHnJRAz//f/+ZXzmf/wlrrvvZ/HL/+a/y7x1/Woul0yvsbdwRHmNT7ZS9e++91b8yi9+fFkXj1krFX/d8vRqEyJdXJOFHwujrW1qkEocPiuvPS5IqqHY5XZC0bKptDoMWrVnIF+lLvjR/ohuZxZuISMzFq8wS+JleKzIHC+kYRAQlq/WMFkgaYnqSZ+tkA/YyZElB16Z+Qo8u1NNOjyhcDW8us0hr0h+KKUGzscao9isN1GKBXhmUDX5sUMXAChhZeHDgB5vIRObRmWcZhyqJNDj5APCNMF/gsBWDq+EY+CLz+MmlbLB8TW7VgP+Nz6H4KnvQd//hATNeBsIBoQ55B+FYVAdxNdeN4MvDMrz9gGSHhDMlOuGtnkIzXgOB7X7MLhzAN+tfxKHZreiXGyBBfscgewcxqYPS8toLiutcDZvh0+Ks88AdLMBBj+Nx9UeecxzxR3dL2+dULaHECQzEqBKUnONXDYxCiPpSWChoWWRzgRIdAK55jg8EpZa29bBG1BKn5gaBfdnp5cY6EbYakaUZylGQNygWnSSiVfosZVROT4QWri3SKEKJY4V6pVby5DQqVWKBFicgiBJOoCAWSshqNvQnAq04sSSNbASp9tzpGTFce75Hgm0l44LycvKBVv1lHd9RKZ5yxmt7fNgSVyj10XKCBfhc9hVjiknQUNSFFP6MEQHrTrQ/fRsUMpy/XRTMYU+g4oulWXrdgYeQzK1/ScBeuectlxljVZXVTDpNXeRYukmuubPZR7bi4RTRHogJ4F256c+La1k9L5+8HCTqIxJawonVMLNysh82cURI7Swi3jb872kEiYMUsDb6cvFWVF3SGEPvABdDRdxUgQTxtW0sGLRot3XAB4D6VmaB1+ERUp4kMwiEuKXq3MpOs9P6cdfAm8xoHsp2YeaG+JLsS5L82jK4/fNDFYacAh4OeZ9lcC1fWgE1M6xCUlSFDn/8WaAchDg8VbAyXk3SI0lTmM/ME+SEVYcy5oGzw/QqNckDYYNqkK6lqBrpe4wGIol9SEaL2KARcA6W7qrAhd8a1rNO06Hmq84hxeSImW891Zfzo9Mf6WO+ybXEVnccZ/iZ8XjWwRmcn6NxgMOk5oB/bBaNJNfxlAfY/pSjseUgPj9bdfOZw83mqS2AZpY+Gy/8W2Bv/q8hkdooY6BAlaS2AozRd04skicOeai1kiDrduv2h0+zLDmmClgUJfx6V0G4afnkZLELAzic50cb9mCgzfdZT4B4ZVlSTH4Pty0/QhimoPBw0Xsm3HxayUPnyNl8yUngOfWsTs1h4Sw8dz0HP7yzMoDaaBRp6CanzuxDklUsb33MDLxMpxWXY5vlLXkQd1S0lvxfhmi3IYoKsq8X6B+Ghgatb84NJI/z8Uz8BJ5NAdumufhHwDkBFtpchg5vVKHXq5HSdxodUEELXyf+ncEDJqLgO5i8WXJH8ttgpUmwYFSZl3NKxR9xQdb5XIlDIRaxZNIjD2HxPheZI8+iOyRBxEf33fRIgDzs+NrNWmRICDZ1SaAM6NtYjJmg8NyfOQEL0K0unehNnQ3eIu42Rt/EcXrfhaVLQ+gOngzmlCyRUZsYPYV3aitsjcOTyLpuRJQX2nxtRF+DRg7MQKeA1Rp5RuhQZCXTihC6Ke0QRlrt9RngkPjfdE/xFF0a3tkeCkvpucRmAaqheaagbj2uvkZclpzWzDCd++Gcy3TL8dF7Y3L+gTeS2Bp3KP26CJGc09pqglSraSVOJ9Lt8tInXsU+f1/jPHDwzAas7DK5+GcPQqWxaM5f71LfYdk+FHX5arRp5oszg0LWR8TWVdKCRMfy2wFW4kzraBEWo5iSyKDmGeiZLuI2idn7LUn4XoCW8c3wKLh+14ChtutnlmOTFXUwtz3cwNcBJEhk76CTMI/+vn2+3zkcoEssxqvr0fxFmcF3pVUbfdbtbOyaNSmjPAriuT+k9Brddh9BZR3rZM8r8TrIvmVxyye01kOzefdXwAAEABJREFUZRmWf5+I52Cut++2AIVd6vo4zW7Ka3KAeF2195i1/BzGem1k+c9AMLeDw0cEbBvoJRWxoOADWd9yXmZDAG1qEF7Vgkd9h509SuPkoV3o2uPJYmlD9bUup4WM5stFC84YMjJgWSoTgqpM6w2fN8cjN8QPgRKnUJTtga/vzz6n4fD3cii8sBXrT27CD/f5ODVKjYX42rf54UUQvVonmQto+AGSRYEe7wQpUh5Ynyf2VR/vucdH19VqsdZa49dYvO89yygsa7CMEZ3UsVVspfekOJTv897wFNXCvb6jRUpNvXbKubxDr6h24nYE8xWYU2pOej5PnZue3e3BVdA7d8A3DLgTz8nfUDMJdPdpbG1tHYTjavBMeufCh9B0zKTzqFYMZOsCK1m38wmbM+r8yUyZk/DjHTJkYJkjRRpuYMU5CrSaCD8CQ+WcKscZjbCOWJuhDNNX4/grSebjdt8+1jDtUk6w/kJMFa0g+w6PWekUwAuF3FZn6drdez4A530/Be+q64kT4HH4PI2VnIjGRm/zTk5Cb/uCQRJCLxne6gjpUVz/Aw8ESMaBqRng2e/txMv7tqHiFEPuNwN+At9/8Ddx91uu46h0MXq5j3/5v4PpkkAexw89+ieI3Df/4jP4mY8/AF3XKBdg8Pxv/uDf45G/+S1w2T/+zU+jq6DaJzO87fbr8dLDf4zv/tX/i/3f+0P82AeWNi5i3tfCqat8LWpeY5333XkDfupH37Ws44e/xiqvCHtQT8kVdL9bCTOrPakdAu76tBq04oJmTSrcRLjqT/G1HDqtDLfzR4JFRIsmM17p9wpZeGEjNBaVi/jXGnbpCZzJW4j5Lq6hezrWsx5sLRefrgMk6NkoIR4Orq/QuATtf9HWHnr4QyQsmHD+LE3W3XRNdyWUkHfAPoW8JvBcv4ZSTMCY09A87zMrXOTgBQY0PYChtdCYVqMlC72gPy2u0hFoR6TX/DDKCmBzwi0oLueEDKqjSbN7zwAYSHHu/yic9/yE2nM92nLkyF7E/vS/Qn/2IYjpUZh/8hlEPwLDe5nbP/YpBD2D0LszcHIFOEEconMdbrrRx823GXg+eD8en7kHo1NxnC/34GhxG74/8TY8OPwxHJzZijq9fpOUgGDdZiCekAA334tOCwDmFz4LhBMg0xY4omvDpxaQXq2ENjVGgkADc/oOBLE4eq73wSBV5NZfOwIz68MRMThmB3jCTKQcdNZHQM0b9voe+NHestNj8rJa2wZkaJ2bhDairMn8V3FLGb6GupFHq66Tsu0gAnHlSZfzsnk47/9puT+988Gfg3/D7fBpErMbGgHpFilyDqRVKz3rxVVYsyfg1ICZkR4UT8dlNgPt2z5Qx7r1h2HRggT3j1aXEjz403TJ1O45DUh0sp22TNwiwLTreiVADn9Pm+cqHhJyK6Le5AtANwmTlGNsG0LaHIM70wArN0SSx+Q+VY7fpySw12qAF1d000d2oIZ85wgESVa8cMLZV8LpoULuhOA5C3CNiRJoOALeer8E2qPrCLoHYOhAtjUmlQyfFG9WrgUpZ2Z5OGJbEF7Kws6zlMCxkoIbVai15uDTsNhs6DA1AzBj0BJ5pLAVZispv5bQ9z+JRDEGxJJoXrdNguVR+dWE5tis/OE7Bl2gmfALg3A7U3DTdOLVVBDyOFUVYR3viHMKT7S+SmD7CIY9H9+vr8eAQWOOYiGaaltFUkaOOyFxheDGWA+q0EkxDeBpNclpNxyZrnk6dJEGBVinC5nHylRjg5IBEmcNUuYFhErK0CBFhhmjBeLmLDBKQDTTuN23LxAx7ZU4i/pS5zWqBra4q4TbuHVeo56BygEihT9VqapxgIB2b8cNUfbSIY0p9i/9Oryb7p3Pb7jqvcUJ9BZCwKAxploDZkKlihWjnVcD994V4EMf8PFhcsQCo3WOgKI4+KrW7aa2Nl/jhUgmtHKPt9TDrFaFzBwfF2AQXybIK5KiRMGbx2U+ARE0ZUnX7MHQzvXYvekkgXwOtj0yjaGZCdx7/EV8/Jkn8eEn9mHn8zbeNjKFDBp4dqq8IugeEHBdpuZx9PRGGNQh1vVOIJ+bgPBbmJ1W71SeeJHHbZhJdlzNqxrJJpxe1gkNKQL+QP27Ah+la38KzZ7dkp0tSdlKkxNspckhO63aQMdXn0LHlx7npHRvDSZl+BLSGE0r8MmsXBh3uS49HIfjhZ0wUv2S36kpOUAmXoE36ZLAROW7tASE10Ly7KOUAuzcFjCIzteSCkHWxMjF27lZJWX+2ujbQ/wxdIhtiKMHDK6VQnAaS/z5NM/YnVehrI3IXC6jwZLxpbzIWvMUjWvC9rCrVALrFrVbrl6KfZ7mh4APE+Z/84YT5PRQF3H68pS6cMSFWjSuB1MXiBSb8n5Ib9qmuWmQwED1roi84pFAN3xNQy3XQmRRv2KBZTL5eXGWUTlP76lJzzqOiMb0y3E8z3M530hQfTHM0vipuU0MZqYwkJ6CIHlqfJw5SGze8VFaMLkHDNLbLWrv03Q/deKh9uNW5iRT9CUDJza0poHAB899aQKY1g0IJiOqj3Wlz/bci5v1fjDQyJnMxyG7TCoAW2G7BCCxlTvTuC+wMVOTxLwNJPuzpWh7GeZhK/wELeyeSuRw1Ktjvx3gt9wu0NWCFwy4jTPfq+F4726u5xx1V/5ShfsQW5A/1iC5ndod5wnblQst8UOnZXv99M4Wfn7iUbQvIjDfWh2PV5HcyXIo/wA6z/Esm2z9Uf8isJ3rj7Zq6WhkOYkIsJSJJTy2/GcwlN/Pd0hGPnpMvcPrrg2W4L6YxNcYLxB9fBBuS8CpCVSfux4OdfP8RqLTkR00IUY2wWkIbDdtoqjjpniPjKTSF84VLdzIjNDbYKp74ec5MKB47SBAkcBZo7OOgU41z09pyuDPKJbDkgC/G9BfGUmkaOyb62ugZSdg1scxMUEZqzw8uuzTJ17E8aSq21jmi/+VquOtjTifZQyWZTg+Q5gCh5d6T8zDzgsBd2m4RjpWoDMVEK56b7iMP+ECZlmVn5eXWw1YNA7VSBY9TfP4+vFzyM+eRawzjiBfwJmpHnjFCtgYhE9Zv34bBPHy7w+BRlCnI40mLaY1m+KS1u3cptlxPQltkgO4iS4ZskxnUVsi9QoVLS9pKJeQGVLtoDaqSPx+3CqgEy+3SUVdvX/uvJDMWzb7MlyLF1mkz+hKrsjnVOlCuM3WBMmVAS1S+BsvzGM8DvM9MSf3PW4P/uAWTkIbOSXDxd42U13jbHiJfX0B7r3Ox4YkoDctnD22Dt/9StjpFhd+M/2Kn0BPVw6FJazjuWIG5wf7umCaaixi2pVy2pU60WrPc/rcGB5/9sBFjvfcWW0dV5IvaMXhZVMw7XNrOq3XqSYmc2KGJhoHMaie3wpKuJy/aLJqhp9sWudCySyszBwrypibVxNdYKnGxkqHzHiFXrcex7FemqxpgOkt13GSpDCfQEneHyw23aBh3Ya5YUqepb5oPy9JvEyPgQ4vRoNYC9BowujtDWRNvN8dA1uRpQN/GrdOp9mKJppH1yme+vGAJhpfCjplp4CA/lOZadSKdBNUS2TFIjSdUoCoqGeI1/hPkLDB1sWsYEUWqpdzSv3wXllMu+YmyO0ASADwN++ET+A3p1s/+Wn4/MMvNGGz1bn1l78Dje7Rz+SV1S2B86LZBCjfzAm0HB0vO9ejsyCrBVsCvON+H6OxG/DXpX+Mv5n4JL41/X68WL4ew431ODS3C2UCSBIjz0jAn0sJ05SgP5+DwV62pJ8H1kkoYTDPpOuI/elnwBb45jf+nLSLtT13/cDTiP33fwVpRU/Xzudtd7y44PkxNIwNkpxZNO/xwoOmewSoxUiYUMpeenIEBhxU9E40+QEQ8MT3IJ8NLRx4nuq31qkRiLoDP0MPKZaQ9b8aHgszbjoP19Hgt1rQ7PKqqvX7huDtIaCd3jkaFZKvXDhs3SDoPTSoP1Cb17714EV1GY1puCR0l+wtYEBw++0nMGR/Hukv0Hv5+p/Su/kjWaY++BZ4VhZGfQr8CTO7wt7fR+dzvwnryd9F/Pg3Jd9qvNz2AEYaaBIYyUB6bVSAhbOEP0oA+ygC/kKCKuKFjHzsZWKso3RcTWG8NQcLcVy+Hbw0nnsY/I5iPQIIPOQzZ5BPHkOLzkFVveaHaOvLPoEafEIW6jpaYzThU2r9JvIuHP7gZlqXCtBVO4VIsIzGAIOE6gucF2KRhd3J6R48+bS4yE1U1FyjuTRIXih2UYyv1bebaFHfSNgNmIGJwIzBHuqFn+tGokVuykX8qcelxbvfkUN9jxI8L6psGQL/YF72288SIF2Hl0qids+d8FMx8H6UtOa5TKmlyc1perW+h6Prn8Ax9zuY80uw/S7Eg9vwP4begfYfRzxASlhUywFHjf9Reqlwg5lGVehwaeaqs5RNTJ5eo1SAqq9LwF0YAfgHGylLHrytTDQX5V4wUXjaki77kklKFuBkaYZR0y7mqN1y2+ZFrJ4bLn098gRr8PK7fNmXKmfF/P6xyf6F52kErqyx7/hhGUoFcZkxSzJEnqC+FMUpnG055AOGq+rPZNR8ycRUCmDllRdo+Uf00pRmOjuNQMqR4c0U1dC5Q5WlxIIj06vO5ZdNSS/SMMvz+pPPKDoD+ZGSN0t5kulNb81PQPfmZBlf70AzfQeuu7aGjkQNuUYT6x/yYO/rxPlzQ3h5ZiPOV7oxOboZ945PwBQ+npteHnRv0Gs9Mt2FgGSH/o5RAkESyHZPQFC58+dVu5EnXuTpMSpINE8k4Hcp5ZjnZSJddBSouQWGhmlqCL0Nlc2Aj4oBZ+2qjG4IrTRlgrz0Yy9BUGMSvi9BOCIh3zyGtwkbHi1u/5WmxkujfJ6zpDPKwzSNNJCId0Iz4rAM0qApx2qpc1D0FR2nnYosz1+MxsdfkKAkg6qV7e9Hcc/PoDZ0jwRZBS3A8pdlhb2/J63eeTFW0FzDACdX0Oy7sHDWrd8MHSlUgjPgLVg4fzlX80dkVkYo2UgmVvCOGgFEy8b6eoPmiZ4VOC9ktbauk4n4oTMyZI/fgzFb5ij8EByVCfJiyMnr91AjoFZ1cr6PJiah0aIA3x9W+WeKHIKYiWbGhjGj2vwqiy5g88K5nL9A4AwvluHgFTmf6qxuegd4Cz+uaHhEQPNtdCVK2JwbhU6LVBOTAvzHukmz73qUCXg/tfEfoSHyiOmqP82JPvAXCw2SzezCVgSaiS6nDEFz5Qy1dS6/Yzv7wMlTmoqEPoNJHOVxm2VOjrPL5QEJuBNYGH0twj+Cyb+LkCsWZN5SFs9W8QQMekvf69wA7pNfqgd4mRZonw2/PjaW2VaGz7lW125sxWU/nOa5BfhC9RTcti+6U48f4Gx8jhbIj8SboN5OC/WzkvZKvBw9U5Y/WQ5ll+wD2IhnOVDxrFuWp+uoqLZDw5dMr+RdtzsAvxsWSWwb4MVsBvNWKtOel6KhVBvZDJFUN9IAABAASURBVLcm0HxhJ9xJ0m/6A0Tvmq3gDRrjfWpKe8zqfNEdFjUASvH8fV/yr3FX6uvIGur6iTx/8BibIt3irFvB9lvO4PZ3v4TCe/di+o6D2HRPEW8NtwiaqVoI6KTc79lxBUb49cGUyMKO1bB3ZBMm05Byxdx4iVlW5WZHp+H0HMfc5jE0DRM8rqwV5+D73LI5kOd78SXV5xx6JkxYzXtiPpCOKGUqShjPPYQIIDfo2RPpsg4jNCxkQ8NIXtaLI9BooW3KMjBuxfGWCV/WHaR8DLv3o0HTWLOZhT7uSjqPr5V1HaT50bNt2HC6MqgQjsWZ67sAvneOL+XGn9YkmQ06LHdKxt3UhXE/n5MkVPWCjGiVWSSpfekWpF5nU5OKDGVMereSaQ0eTdeYmAT4HQwNraFgxDo1LmOVvBob0uECUjR2LbWwc/K0LDLvyUVKereRXDKPX8xzAIOEM3Ey+n0TjmfpOWxMBLgpZ6Czp054isfkN93foyeges8b4IYPHjuNd/7Yr+C9P/Gr+IVP/8ZFrlZvvgGu8uJLcDpIoKGBTndoFLg4e1kKTzbBII1uxMETTVzQxEdxGyVS6mkmxdr+9GpdFmhupRmVYkYIsFNUHlpNaSJeV4dMu50ZGfJkJCNLeGwBwgBJ7PgwdBKGV5q0uvQERjsMOJqGDXMVCNfBuQ3K+jU9rARbL0/10MBbpzGPAbUlTrla0gI+L7SMjCYyFkKYoTgrwALADrMAtnTQMcVknO/ToCcEvEaA2TOOFDbKNr0LmleTsTnUJ9VEGwnVgni5oGipZ8hxMDj87Pdg7P2BTL6anklKHdfnJumaOHI5jq6VAW0uKnbdxMHFjiYN/uEXh62fGXgnDveW++H82KfmrW55r2bQc9GzBNCSwPGyfSPWDarnQ+xgIZcBFRZOGPzgzx7fepsvrRkb2a0oOx1olcrQDYKuCExk8BOtOnhrAgb7tUqRwNvPgoF3BtmNx78Gac3GwA857dQhxP7qd8AguVaagRg7w6dd1mmHn4fx6Fdkvs5W9ATei+kxmZZe+Fwafg/cVBfiJBfo1CZlXuhpM6MQug9XMxALV0mtM+MQxFeK9aA1IySnd9f7wKA7P2f9e38Bf+48ge1VGC4xhtbYzNikdjj5ArW3tXdrLj7vEr052E2dFH5fAtzzGauMiNKUVOBaNYX6uY5GQpeAXpqUzxdtf+b0SeofPhzqugPPfwap730W0lKDnh9/uSLv+dmH4JOS2Bi8TZZk0J2dIDBAEsgzp49Ba5UpdunDIgGs3Upoap96znnjiCzs0wKejFC7yK2rwtKqqJ9pSEFuip4v5/XfdqFtgvsotQE95kKPU12koQiniYH4D6CTQtB8hTpW8rSO/LMWKbJ85qVdpFB6bQr5zFgTCWcWZiYOFsrbSwbZHEx6PdnGGBhc5Dw7v5UDmOVhGbZ7/Gz5eQd6HE/u7yAFWlzkzk/E4ZCirLXoZbYXXhTnumw7QC1II2dPkYKvAwS4V++8loD1rfB71iHezCFZLUAQGN24+VqpNC2qZtmkOTaL5P4TMr++ZytKH7sbupeSaSenlASZWKXnOQLOwBkkt7wMi67nWvNWfCz1UXw4fQ16TQWEcVXDHlAPLrQLtrJj+nJOuEDKNbHO6qb+EcAj4JHBcY+0UJ/qCTQQAJSAR48nsmSJ6qrscsDAe6QQcV3RvNR+j3PhMNahXm1U/FUL2/sSV8pgwOJxjsESzktOTXIAf5Oar2ViDV6TgBx6UPQuqRA9H9PSUKOFVkphJeVt+sUK/EBA7wrQN2Ci/Y/BnF+ZeRLxdQFXTWMRYBIASl0YjzxK9dcgwQYG8vM5VdJpCRV501/TE9C8Ocnv6Uo25ITb9Xa8904CpDUXcWr/g71juHrTGdy06wh2bztFY5SDkeGrcXdzlPqBsSzo/hdVH8+fuBVCBMh1j+LJ1lUoxQ34QqA4Rdo3n2wJZ2XUu7SZhcZEZhHlpUGXTo1yNYHpmIXepio33TYHHaaxljjA20RxyI5lWnPiwgTA2w4YrXMwnXP4uOFTm7PwfVPDnNDkXMtjI+hvtnicfMAsKAs4I90n0269TcaQlMvzJp2GLNjr2mBAnRMNAk45DPQYmiHIWr76oxS/ATzum5Vhud0Mg+88FzBAz7xchp2JFApC9W3egsUh4BpL/PkEPTYxCQ0WUtrgEhwXSGzowqnzug+dAPcbSnNw+gpMuqTjLWd4sVWv1WGdVWNPpFt46SRYN1pcSVJ0S1IzmAJfP98HE/LaLnm9HF+NM5EiOS4B1/Bg2zO43D8v3OqR5R2uw3uF28lwHex4qx87t4mjGJsA+H1uLpxGV8cUSPDD5AihZ1j4NzodA0jvuqpvnNpDjGTuLHySy5iL20FgprCT+il8F6OeYDK2btZkyOBVBLIzYWJc5S/en5t/+K+3VqBnBkQW7o+RjOL7An1TCnBbDICxvMJtM0bnH6EJaZLmz1k/4NPgaHxAhnqd7kvGXrnX2xuAgbjI2OquxCAiK/dHdTV2sPzB7W40AfzFNvUM+MwMynP4St3G9/jQLXomJBJznG572SrPOhXwdjz99QL4uq2FU+CS5dIptYAdZQ6t8UcjO7b5EHOd0L7zETgHdtPCIpAILZCjOjuypHc2UuhwgW69gZQwpR7N+fy++npPYF3Pi0gf+TyicZHzIjdkZNBtNGkkeQKi4zCy8RdwT3IUdyQS8/IAy7ZuPiuLGCHQroUYRVWLoW7rMq8WxNCRaqJB+INz9hjCv2UDltOmymqMZqZan2rP1rlJTq7JRYsbJ08J8B7eLHus9j1FJ2J9muOsOwX1IkfBMiE7mVijp4dgvdu21VJ85EVZyw9Jn+fIzlYPnOwGzFz/UYhKAZvdo9Cb02iNA0ZRYxb4ND8KktWE49ICbgJFJy3p61Qg44s9Nmpi7Ea3gK7rqZ23KpIlGms40VlgH/LrXJCeJlOtBpIENnO8PgrQpXAU8c5AhmvxeBsl5uevaVbTX5h33tF1aLQAwNc14+YlmfELjhQ62QeirxhUCrAJ84i2k2Fsg+nRb18EbMRGBC3cMoii80dCPWYab+dJyISGfRo9tltvGcaeOw9eyHwz9vfiCYTN4vW/1//5Z1+VF8F77nzrc/8VD/31byxwmVRS5r/RvFr4wwprBdzlfXR3yICFfY7EoQSXGX8/Zv1DC5yLOrMs6dqFVa+QlQIrCxURnQuZ4WdVbl6NqCzUsuM8BtM5XOwSB05JgCT9xAHkvvIk8g8+isLnHpKf4epztQXsbOHeNAXOp+PIENi+rlTEdL8SHNNnaIQhbj9VQj7cx24y3P6ByK/4cMK9zMw51ZwXDPpU+12JfvKBl5qnkCfFjLcVKG0zJI2t3NlCT0/xTCGQ6xiBXfPBE7cfCq1CV/Xy51HakecRWWAbzz0M/alvKUtqWdur45mkQHFNXtvKMafX4vRwbzHBk0I8sWJRn3gYeG/9k/8sLeF5QooKiMlRxNIt+PEU2GrdgYXCoomShcDb3xKAwQ/+7JEt39maccdVPibddag3BBLjL8ALtyvQ9z8FkHDA54wEEm3kFPi83o4bpQV86+f+HVof/xT8zbuAVgPGcw/B+p1PI/a538JS+87z9TLYbj78NxyFt+cOBYZXirD+8rfVPt6Uo+9/knygErsKrKSklNwvaeyJ6VHotRn4PlASfeAJWdCsy8p5EDMwm1xHwh/kn795p1yckPdAwoXjjpMwOwXLTsIf3CJ52CsdA3gvx5Nf0iABBCZehmtm+vmrYLRmXdRIMar8cGTVtfjFORL0WnCbNt2bkOU8aueuGQMMXT5fjdo2r9abD38e/mkC3Os+/GIVemtWPkt+pvxVhPPAJ2V5fie8bRErieXtHwCDAOzYumrmln8Ov0uhibylkCywCi+3nS6HhiiXgJZIuOuM0wOksj4v2FDIR0BtNmWMQmtUcfYbmuyvbFHEFjqcz8783oOAAOKDcQinBf6q2qu6SPvn0Rd/Ck6FMnH5f9aUDs0GjLK2bCWsoHCm16aQ145SWyeiNajGJYrOH0HXAIxUHAlSdPRqCRMTAk52nczncUF4LRmPvOjZFrV1sOlaWCHgBa/I8eLjXNAN1w3oWstRsSVDozZJQBMJy14BPQxGEBjqp5JyPmlcvw3Ve66H20sdhuguSaiNa5WVyJKVLSJyH4osyxhs5/qYxSipd+CGYzjTVutajJdki/B1H1cZN2GLccOSRU84SrC/N64hKQR4/J/xl2SlPgLkXrDQ8aKJAb0XrunDjVfQokW2FvUdunU0/DSEMBA3AiQEFvx5qQDV7S7mbnAw+xYbxZsdlChe2eGiMUTIP3HzGMDtmxWX1IC6NiK/6gf3pThPa1RzbuvF55lymxCtJlItalM0fvE8QKxrPkZqVJ5KmR6dg54vhIZKleJEiyyIKLrgMAjcHD61Xra37hsVbzvDn1eOYdStYV8HaWiUwT+cmo8VKQYwSMTt/Pa3qpe4eL6XTFfU+9t9MhGo9xeI+PyN+HoHjO7r8Yvv/xJ+5l1fwftvfxZ33jSGXXuyuOlmDTddfQyW4WDu4CbcGBTnQffvjE7LOrh/PdIMMD1LY8q0hZjZgtddwTmvF1V6eel0kab1hhzfZIFFXiyv3m19DDSP0JhD+VJGoHC5I9B1JF3qkK5PC2zOPFu0dUNkpSnHoueOynx7qFeGBsnHBoHtnMinrsFdSQU47zfU2B4Bq3b5DLMg1qkAdwY0Y0ZK0uzquAxfiTfpKsD91uG9shq2VI/Gf0kIPabVhu5eYPUeZiEC6KM0hxltEzJiI3zYGPUeZdJFrhKclTQLuUuC2GxdeTQW0OIs0FWtg/dvtzeoZ4lV/DWuV/JR/JB6nsZMWZZy+/IyXOylhHofNX8E0VYycfSgQ2xbzHrJdDym2pNXnwW3hUsWWIKB33s72U0q3a2d9kriJHKiOBsgJhro6j6MZN8JZONzaMw1MKuw4/nqWUYQ1G425ccQM1wEngsuHzG4yS4MubOUDDDiuBQCtDaFLaEFr7TYlFSgFgJ6LPeGJBmkMgEyToJkR4At3Hk7Gd6myasZ2FoalIufiwEwq6S2N2p170RvLIdmkIVcnKUaz1hqYorkFyK9Kkc+p6qJFg4iK/fv6jMqI/R/Y7fq1+9ObkAEykfjRMhyWQED7Fd90kNhlxq/VqqEFwUDYkvZCaTUELIS+3xemnjvuSvA1SQrX33Vhblzymvgb6onFox984XCCMsDRprG1JZGMiHpQQTc9i7qtpkNgJjtQbxp4Z0pHb+cuw7RX2vuNMb9GibInaydh3HgT2AV1XuOeHZYcdyeGEctcFHyciRv+eg3WrDEXpTijyC77mW4tPjSjKn5hg37uCx/ccILEDW2aDA9eEKgWMwhc/VpCFrYqR/dD61VZtZl3exRB15qaj6/2KXOYZ2h1at56uoi/Jx3Xq2e74sHhCyUomcvI6v1SM9lnZbZGXRnQwxHqGC0AAAQAElEQVSOa5dpHGDOqetwU9RwuCJy5sxxcK8+zBdH5N1FnajA5GwXBqqnYJg2jOoZ0uOa8F5S7T7QqpJHb9hoDnaiZqvnlIur+5WZbR7jIZFR0wC1PTMoQxBo71kdcpEvYk2R/MtxHkfYGI3jvDNAtK1M5ZxAKwT9YyHIzTyrdRH4vWXTaktc4NN4K1lK+p39qC4yCCnQuEFiCY1/QPsCZLSdDOtRQ0Pq2USgvHvd7VQblCFauSjjkbeOXgHrGmzo01DFwPI+66jM44/3oHvwQjtl2pvu7/4TUL3vDXCfh14+gw+8+w7cev0ODA32oL+3c4HTNPEGuMqLL8GJrZdEw52ACJoyvlov2KxmOhb2uUxMo15PkUpwBqXg0AJX9A9SztJHJDQGliEZIkuTCGRnojnOAhfg9F8Y5dx8lrNoEuPhWkYXeNZ5NSCwUuKGQD6fiyfG+LHzC3iTwkSK3Jl8HDGaTLOVKo7nBsAgamy2BZ7dm5hE1w0t8ITPgMNkaJWKV/jHIAdXoYeDKK9+cvrwUdVm2i0dyh5pcJT5VMFDOq2jwzMwespGC/RciN00GmAjDAZYiI0mE5qIDBNCD6TltdzffHpUAZAEDoOACp2taJ99iNlfFRftyWznlFKy5kqpgHbyEPl0bLuGvFUegh5AOysB3WzJbCR82CKGQ/ZblhSs24u0xxl4P2u9BS0bEMURZTVPz0tasIcTFG9twxb2vLc8g+zu/R8FA9ngPxJWnPd8Uu45H6Q6oNVokp84D+OZ78lFDwaHmY0dxyOwnQFw9873SjDcI+Cd89ly3vzCZ2E+/g2Iahm0CoDs3F5k9BMSjDe/8WeIffbfEzj/O9BJmPShY9bvkxYZWlUpwa6VgKcZYBCA65SO7ofvgRcHWpuovRNRdy2kD87Ifaqz33wOHS8cwFDxALRSE6cJdK+NLnrOWP7PnyRl9qvPo/a1MbinNbRI6bGbOhhAnjvSAlsdLF/6Qo5ZUeB8q6ZosRiNBU1q04GNgBNE5rbN2/jETj8LzzFRdQaQvSYmn7/zU58GP1NeKGFgjp8xFYH50IMAvUsntwkMArDzeaGKaeemAALEY9OHmXXVLrJy5wK5oTr0Jo1d9Jz53Exjx9a4fakX6CZssDDItO5wD3iOc3vgthvLOBCpGLy6S0poFq3zTZj2NLpjLyJZDfsIF7gMp3lUKAD0UEml1EWHUZ+UNDdUyFkR9osl8HRmLgG4M7Pf1Q9aA0G2OYLZImgMoneQWcdZMMvDMow8o6EArqlaVpL4h8O430WOrb6KXjccAqKMGr0PybW0x9sUOQRO27AIcKdnTmxepMFSvLVtHeY+ch9aN9+C2rvvQrBYwyae5Q4GVvRanZShJJq7Nko2tvIxakLG3fArJZlYpdckEFzE63ANHxlRWLbUiza9JMod1ANca1GEjgMhjaILjviITvMhoNMi4c65HgRaAAbcuY3ZfkvyuloGEMC2GHlY+c8nBYbnJ7vLB5cB/ZVeVuUYEKfka3ps+hEfvIdsbNEiKZ+UFXRRr6Cn5SFSHpi+Vtfw6N40QKc2xmVTaQ2OIziKmKVCmWjzgukzmBjdAJ86wqYd4UsJ84+0ipj2GzJV0emZZwL4gUDSvWB0cPttgRybmSlS8iYmOPWmW+sT0N05WcQze2QYeXbyWhR7fhnFXnIUVjp/DM30Hahl3obde5LYvfkUNM1DbG8a16BK7wj45sgM/un5Mn6t5OGLdR/rD8/QWOdja99h7Pc3Yks6iWP2IAq5CWgE9E+MLS17xrvUVfCiaNA9IBNialSGS3kFakc8aGq0aCA8D9HvEzBvZJEbAe7pxw+A5Vint4DKfTeAxzFjtozE3HPMjpa1Ffwjkpx4PJGGTaiYVTwBnxao9PI5GNAQS6trYh6EY3vNIblCEi7fm3Ab2NKYw1XNMgI9jvrgbStWxsBvu9V7bdP9ch5eqlBO20VSTQoeamCDnsU8DGYzLadt42BFx/sRn6NxV7dd7JirwEsn5XNcsVBbZqSHmBMzYPnKoIV9znY7Ozi4yMVFt6Q1MQl2Gs1Ra9lKRhYOPVPkEJgG6oUmjNC6NsxadRB9/RoV8NoW1CPaKwnPnQOE76I7NQnXdDFhpDGYPwdBY2AEJoP+bAeYGmshLurozpxFJjUBITxUQzmPWKgdxTDkcB8PMMIFmEhuSIkUaN9WZmyCMuhom/YpBeqv5JoZaE1Tjs1fJCCPM3ome0jfM7CUpbU5e5JZYJMe060n0ESa9CxP0s7GujClpS5pBCCZ1+CxvMPsE+HWO5Hud6ZDoEp6Kef9zUaBQ50CDLR/KL0ZO2N5JuOxppKRZeI19njLFf7CLFaPy+eXSSkZZbWn5ed9y80+vWtV4gvVk/hn04/jS7VT+I+zz68IuqdDa+MavYp6Bsgr2EFVRD4brRjDO8G2HTs1DbvCxRHKQmnqAAd4uOdqPJ3pxunmJGYOfw6x4ack3YeN7bGXYVIbLJc7MTqxE49MbIdf2QbRstAIptC7fR/iHZP0/lVf10P9StBY4lB7blDftj2d6mhRnS5aJpBIeRitdiN75EFoy4DuLKNNVU5Q37YRy6rnWcnEqQ7ADMcZmViDt4MAd8ax2ZiFi631PXEZb48CZtk4iRcqmaY5goM1OzM0KnRCAxXh1GGWzqNp6jiQymFzJUDSIz0xlYW/f5LmWAdWh424OIl40IB21sPEsxo8KcsGNJ64cDMJNAN6yHQ1+bgg/+Jjeh+VsQEGjLl9RAtlHi3mtXNHC3UzrD7E1LMXU6NIhtNlfUzApmvkMlaa/dW78XEB/nqFgfG+vmD1BUNOMT0mY0HPwPzXw+378Uf9gHdGkIzk8bZeFIDHlQL1E24LNRpbZ0tEJXxiXg/+4meJsPAY0FV62FUh+7ltPgdwzvXK8E3v79cT0N4ot3vznqtx/NTIG+Vy1nQdjjkk+Q17Soar9YJoS5nZslQA8tiNHu0t6NSuR07skq5D2w7+awXcwzl2sdMrTUn00wkZ2kNKcYo+o2KBlhUMViwiHmb0uhRIoxcrnFzg9PCaWJBmpWTuR27H7I/fj/K7bpV8+nRZhu3ekJHB2YIJ3XOxebaK860WeL9l3fWRHKlKVv4kdOjtatCZ3keDryLLvMv1nJyqzwxXf3lwjAbGiQk1gUSWDiJQgy7v6WttVXldZQs+CRUBAqQz06DLn7didnlCMQyImCEvj1erGRyWACSBw/aHfg4MurO1L297IplW4QkS/qzZY0tyGvVpSXdT3TJcs9eiiXX0lLwusevGNRePCrCAYMQ86EkTFTuJSW8dImvCiOdSYaYng5LXgxq1l9jUIfgEJnKZ6MdLOO6v24x5kJ0Jixznu+/4UQQpkg7NGESzAX34JBgc5mfOE6n5zT+XpXgCZABcJgikZZCYAX0/k4d++jDExDmgPIfs9NPom3wQuSf/AMbjXwPfK+i5MR96elCOD6CBLHhCNiLrqwKdnyp2lrKMpsnX+fA/RPOtt8HPdsIgwJqFPGNsFjlabOhuDWNH82no9SbOfktgKaCcceWZQ0IKRGe+oeHEn1K7/uMX4b00g8ThM9Boop+zBtGo6TDiHrLmMNjqwF5NHypNwQsggWdNUNPozqHV1IgWQE9psHfeQXcGuZAkCAh2zSzqmV1IPXAz+PnLzDaPnzH3BX5mvB0Qh1E2vxPeBsg9eAxidgpmka59GSE5KtMeMhCZ3UIXS8RcX5F8dV0yEnp+dz8svYK0R0qdT+NLH9BuLczXALpPsy8JrTKHViWOkQ1vQ9PqhD3WQKw5itTEM8sK7+Fplg0kWDw3QwD4OXqn7rJ8iy3cWZHO0LlNk+4p7AuLC7MlfzwRoKt+en4fdzu/VbJZxRMyjDytyYo0MGWrMT+dppuOMinszANOEIdjA4I1KCz/p9M7Ygsju2UgScq+EDq8HqqgrYhHC6/ld9+G1uaBNurKUZ5/EofPSqbandfOAzPzygMpR5EiIplW6bl0T156Fq7hIiFU31xclK1LRkmxZPpuS8NuU3AUL9qqfclEm5cY1edT60tdpLx5cGJVlKcpZI2Ocm0CDjxi69RVXURa08FKBxdIr/FzcC6zVidIwrNWUGxErYIkDQxB29cjaz3HrO1QHQ4EzZ9mjBo2VVALF1IM8+LnLIImxl7SwCB6mpp1KrvwOe611SIVVYMzTgXpHroJSsRt9SJ567L1bc8uUvJa9sJ6qMibxyqegOarMQSaUpDbiwRECwjEbqdxnEH3W68bxeb+MQS+AfOFDqT0OAIRQExNIuE6uJXGOf28AVorQW/nOWTjeXyIZNMJP08A3gQ04WFsOcC9AOgW5HZhXgiIgRZx+dxLuYJqImia6h5qJF8xHy/eMLDF4FpSmHKvduvchByDqnftZhawgYpIl6C3qvD0DrixITBAeFdiAKeSOUy4dRjlYYyVT0t+PbsBDHTLBHlGup98wKmNy/CVeGMkBHx0/CiNZwbqBLa3n+dS9TrZdWh2X7ssm4kUCmIn+I8Neqb859DumpiERmBXXHQzy4rOp359xPIBmnuvrlTgbOhdkX9xJushra2DkpzcdxzG2IyMe+FvTMlEmyevC2qOY3Je2wWT7geX8ZcUPfBpRbuRdrCU7rOaKv2Y0p0i3suW1aMKFoUTBBgLWuDZ2HkCdS2Ghh5DT/48BM3LE2NqHOQiE+MCzNeVLKHVMQvDqEOjtu+0BGdLx9eWhItupwy2uBwOi/MYalEfm6DhtlqTrNLCk2OLv2JlWp5EgUIzA8cR+Fb9LHxfYOOUQu23hPIa87FjWUO356ifxOUCUDcB7jaoLC1e5TWaKeh+zhlZGPUpZn/VXH/YDKOFA66Y+3GT5v1DSQfn0hr+Ypt6Nr+QvQY8JkSLa481RmmhrsFFXnMXWdP3VDvluUx6DzKyRo8XzRlg/2KN5GAqmxImGMxnWj1wiHLx0XtLgFgemCXHufyu+X1lXv4KrNmXmYSO3iREJY9mq4aKr8Y9Ptdc9bzM/8Tmj8Da+n482bkV5cDGuTPfRu34lzHiPwFT2Kj5JoZ/cC3sb2Rx17evQ/9X74H9Vx9C7bnN0KtAPFXClK3wighL0GcrNJcA9VQAlyYNEQQwfKqrmkRuaBpTzS7odpmwhKflNSz2Zg4KeH00llC1ncldMrtpVeH0hs94TI0xMmMN3h1vCea5F8vX8xkrRALSPTlbqxRpYVLVpYfyEdNX67SmAOsdXgxgQw4uZ54/CGgBTiazoGzsnqH6NR1FuxO5uRFQN4N/bQJ+TwmGV0TOL6NxWIOm21JeCxIW/JiByaoaz3pjVJ4rbnO1UYEZOg3PxwN305hPeUZo6OPHOyh14TDD8sUS4EVftD/7MCy/iDjN6SxCV84KWWApIxCZsYwXfWXQ/lXHMqxLksX0qKS3OgZg2wCPfemUJEmvt1fd+wSNvZJA3gmCUSjA1nB86wx/XHU2bEqsBzNmwO9W6pzMHLqkuk2McAT4FgAAEABJREFUeKpeJkcLD954jhbu207OmW+6v/NPQHuj3OEDb7sN33n0OTzy1D4cOX72Iud5qqO/Ua63/Tp8S83yujfRTl5V/MJkUIQmNKTFevBnkgUSKNl1ij3QYMFGCbx6jCX+tFpDUgPLkKHbqQZPPbTeMMOJhhULyRB6XppmJopHK8wUnT/M8aKML/7E0432fi+WZX67123EcaJPh/AE+IdTh+0WvM1KwE8Nz0nWWjAiB97cNjUITb9KVu7Riq9ZUk36umtVe4kGzLsSg9KiYdKbRcuvgAXP53V1DfWGh8DK0/PVYZpNiKABtyrk9Uae94GfBG+5ssACmzIDAs0k6E5x47mHsHjQJfKSR3L4KWROfBPpU99ZkM8AnVjiU60FTJdI6OF2Mn4nKYJx9Y4vUWRBtjZ8Sm7bYj70IMyEjYDqOFS/QfK0798uCZfwduwIwD+02iLZjy2dfd4ihspoI0qIo+iqDt5L3s93w736evi9gxC+Jy3V+ZnzljEM+Hp77lBb4iyq0SdA3/mxT8FPZhB0dKIxcAPmMjeiOXQjgvWb5PYzvIgit0v5qU/D37UHTS2BotcNnpCNIkmIVGfsGtWvSCem1NJH5f5bMPsLH0WJFqjKtDg1tucWnO3YjUY8i2y2jt2tx5G2ixh/Rkhgnb/yYHD92J9rOPUlDRNEZ+GmPg70zB5HMihLoSmXmMO2d3mwcx1wXB2xWAuZzCRYgOHyuMSfNjWMgJQdr+nBSMehbd+JwNfg1ejFUFl/922wf/E/wqH7DzoKgKbBza6DvoIiwIsZkbBhPPcwtCPPw/yTz8CgfsDvA9kCAfwBRK2MyCKCTrWqY93dAbb/uIeEr4SkgAD2BQVjCVrM24zuxIvQ0UTfbaq/Mw/3QWnd3kH3lsnCq9gozRj4Tv0d+KL582gVdaK5dE3DywrvXM9KTriC2mCLWAKqh6Q3ii116K2KJLvh4lmJxicG0mOxAAysy8xFXtA9ANMAsgRYFUsq00t2y4hBwI+MhJ5ZGZGxkqYU31y4+CiJ5LFQWfJ7QLoLKbfTRFn+4LHHsQNqEy7ipLgFVgzuMhaHy9dycU7044TNXZvg9FPbClkiwN3LBCFl9QG3e7cK+IYNXw8Q19JLFh52AznWD+qCQCwg2nP9BNFn/IVFYhMahAu4pPBxTmIyjngQg2a5qDRaaLk1CLpUT8tCGAEG6bzMtxbH1819m/tVvIsqW0vhV5l3plFEQONoV+f6JRfVVnO6WR7YidHzqMFSGLME+UCL2hFH0qmL7zHWOIhTB3dQtkDPVYqfEvMHAx9RgkGDriFNJrPCwJ13BOCtyyQh9HhRlKNRX+H4m271T0D3ypLZ07MyXK1XzX8Q99x4goDAOSSoP13/vIdt52JIzsbQef4o3n18r5SpenKjiHfM4UMDcQwkY9C1ONxMC9wyJkcroPWaJU8ZKyhyQxuQEVZq0VKyriQs8nyas3paGvVhH9EXEmc9Nf7eHO8BG51c2NZqG/xQ/mUDFZEfg2jYaCWuma+Vgbi5eA6naOzwWiUY43tlXjK3cCstI56X9HJjSoavxNs2dRx5p4Ug2YNm3/WvpKoly/LWMh2hEQ9/SdvuuEBGbJT6BsdXcmzh/jLNYfCAqytVArXCl7VSIcpjoGM6BCta4Y+nGmNFAuHUe3U7l144paJIiw0cII4edIhtMn45niU6ENAEW803aAEmvJjLqMizFNjEYaDHLqOG5YucHxYQNFn0d4zA5smCWDOdav6eGlHPikhgcEhzahjMnUPRSiOToPZOAGi0pRfzeNSWAho7N7SmwHLzbBsAFH0NfP68kFbx/H5SKcAyueRCl6GxnAF3NyyvtYz/P3v/AWBJUp2Jwl+kvb6uKV/V1b5nunt8j2M8MAJmMILBSAiEdtEKIbQr9++/u9LjX+1KWr2V3nuS0O5bIS8BQhIIK8wAAwPj/XT3tJlp39XlzfUu/X9O5M3qW9VV7aZnYAX3ZrgTJyIzIyNOnHPiZCT66zkM9J+Jr1hVWdjvtEuW5kwXOvFqPl4XE4AQeC4eGqox34FL9IuUZmwJG9GVO+LDsvbfuiuN370zDVa+81Yy282chPNiAH/nixMH7SIHr7g76Ybtk62n5LmiRWOZOE/vodYkfqf4DHhrn16SVz6avQH/rXAzOH7Srck8nj9XVkfrosi9zieZJJBb2fCzjs08B6N8DInxhyV6moaaOLkVbkugGBxAy5/HVOkgYrTgk06NQiFZ/02JMbx220/gqbHbUFcUzAR7cbB1EIepE809dhNic2nwG2pWwkFPWoNGtyrmh/nRI5Gm+poJeS7hOGDarNabcIieNCUPEVBfBdhYr7SYRXzdCSx6Id1lOTLqX7IC8miooDi1QOPaRiyjIm/QSj7BLaeC5voRilEfvYh93Lkg96lo+6VMJmDQhTmSVcCO5i7mVbkw85kcXogzFhWJ7nbx+ObCSxL2fE/YlzfWw4HbrGgkZy5CzWhoXrEDHltWi2logYVN9jRseiYAySCJhCxfs8IwRQtTEtDlzT4pZIq3AyYSI+ORoY8b75XpyMtnwxh1AbS3XC9lHJ63eTud5HCYxz6TtKguTp/L8R76s7QwyLRpB+kUzoW/Mp9lQr4Ghtd6NnIg+76MdLxosW6xQwJmaDGT7yNHTZsimshoo6Ph84/2cWcYf4+OQyn3VksclS6SNYq+TEqP7zlaeMjP3SNhP/J+eFpA+UG51X/6ynflpfzb3/gY3vVzv3mGqzdPMxkS8QfIc/R18mp0a1yGF+I5QzSaqQDvEU3BqoeBkIrZQQWr/dTOK1mRAt3LZ+AlE1AbTajFKiKFoZtfzsx6uTCtLoSTf3fdxokZmVyppA9odua65QRJdUukjscTPX84tSE0jFRbaNDq+GI+pLKJ6abEsoKyDHuvC8ATcPmwQDlcVJfwi/W8VCCLRivHg4MyCf7gSb0RxiPGywlOScDeDo9stBQoZg8JhxpU3UXaXEB9NqSSXpK4ScJmplZyChRfeQSkdHde/y4JZqLLxF0mzuJp1fAamHlIjn9vCVPvKNTcTMgkLGVcQCTaTsbbsev8S9FEESlMpeX4wWcBmmfVbAx+PIN99V1g5R1bQ+ACfjwBu5l18DzAmZ2A6CvI0oKU+jJynp44ekBieq97J9iK3SflO3QDaLdC+PZdYAWwTKzmWW0SYBywMnnuql/E7OC70bz5XfLjrVzO54WhTDgWUV2QNTgkqHBEXQjHnZ+My8UihjWnqXE4sooLYgY8GoOsXKzHCigmRjB7ww1gi6542sYVzuPINyexuA9yb3dWwDHDyBMxL0QN3Bzg8vXHsCFzHIkxFcb6GPR0gD69hhYJCe2WKu+l0DsBU6+AFY+suMcaP65bNKtQPAt2W4VGD0UrhPfq2GE/F+U5BJomLb79chV+EIM6upyZOqN6YiIls0GhuvsR8JY0zFyxEt6mBQ7t3p+E3TIg6lXEZveeUfysAAFoJJgpC9MSLegN6YhMdDxWTGeMU9h5+QOgZgasFrSHvyIV/kINYAylIBpVlGfjOBRcAZckjVp8EAeTN6NKiiG+VnNmL8z5C99aRm0LEggceSV62ZLhSk+xqvSc2ugWyKdOtBF3itBTcSDqbysK+kRPNFLo5t1pMMM3OyuklVigxqSFD9fLRTgUXhsMnyr3MAgR3ZMJ8nL5AA4MOA5dL+EK6gMEXvXgxQHP96HZLeiKDh7wga6uinteQCLJ5uFJ8NzG80bzms3Liqk1IdN2PuyDMnGensPK9lgTnmlBg0mivAngzMKHSRHI0G16eK44BVs08gh42Fl+3vhJjaBAe8RDtIA7YIWL6WV7kRQfbZCegOaJODxqlkFXQXtRFjlvj+c7RjbzgGpw7Pvj2FpNlBeRpPbhBcmLvQq2bueySc/hAHqnnfmNCgZECniOR651sopGKwVPAdZdEbZ5lHfQKiGySGYYKw5SgwqJhkCrIrBpLKT3nBc5Qwd4buKxUgzZiyjrR+H5tIDflli+WH0MycxVPF/tgTXwTrzhhufQl1ugOUMgP68gezyF1rNb8MmXboFFA2ao9yTiegJxjR441TMUj2Fa5JHPkQTttdD9CjdlLx3xzvRTn4YU3DlDmacER7qc9txD6KX5jYgWKYtjRJc98PcJGCVSoI0Rs5nYfVTyxM5AHu2d6zlbOncwBbVnAYrtwEpeL2HssSLujaRUmjRTmPCI4BQPMRjx7HI6ZtCczBnZ1svrfHN2CbcWJ2GQ8spa/1qu8hVxObEDw8pr0SduWOYKyrXIKtvP65zzRoCG8JGkhede20Ikx5yr8DceUPC1+xU886xCZWhBviOnCGp7fpuW54m16sgoG1AQ12JIu30tlPOCKzQf6rFwAbulXfwz8820PJ/Hb8HKGKQC/BN/p2Cl+9TH23j28eXzTafIGQHLK0zL4qKGQmoWLS0mcZRkm9IzcFtNME/AwIkTFvV3B325k6hrccRjdaKVPhp1mnwZgZxnZohH0DBmL0AELvXl03lbQh0mePvNmRlCpiOy4qTosiNLLGO+lYZLz5wzNk6GW8MNdCxDGRY5rUFjmxJLcowS8v39apMWqgXlACfNEKYSnyQBl8jjBQCuKqIrPI5Z9uP55kRQB8upvJUM40Tujs53vu5vXrgMH9VxIeEBmucYf50dtoGun34mDF/LHSQawdfIivY/re6XC4vXm/34aP568AIC3yvH+R557mS81ZTukYUufxyX+cj4zG55StWugmXQxFAAUeqHXzfguE1M+A/SuR6B3aMhnQ2V2Vwgq/q4Z90uJLesh18wIFwPT59Yj9zhYTQDD4/efAjqfSVs+wlfupGdWclDxRMVVKhfch0a6RGE7XIUVT8Gt61Q3EM6tghitmCT8lgVLrIbXsIpOzy33pGfCVEeC88rcNbthxYHsvo2mgcMaJqOQLdRK6gSh99skpGL8F5zY4CbbgS2bgkuojTAMhEX9GiRhEPtIizcozKRQQjXo84e4QDP9JCegt84mclhqpVHol6EQsPMvX4MLuswSJ5wR16CQtJADm34hi/phBc30WrE0TIUqKpAQZHVLXm8/QwbmNH0icIVp+9d7byF75Bsv4TcieSITnCUx593490chUL6hHSWnqdMAXqqEzmPgKYG7OnsoX8rycYG8XvnUUyisPGg/je/J2VCBrDuYMENLzDfsVZnODuWlThkxT6H0XYy0aIkw/LhcMViiRqXAexIjuN6OSrf9uYIOTbyoQCniMfmMHLJjihbPaxGoB+FPyQtoPyg3Oe//4WfxD/8yX9e0yUTsR+USz3jOjwtVHYoTshkLCGcR8QdDEewNn2aGK0sFhMhc9gMVq9fWLYs4qdotpExwI0U+TMlqB2FoZcPr7ODAt/UZFRbxVpdK9Vknr3Kq6JexwpFrYWCmkQkb4OeltYDc0kTGbuN/nIZC6Rw58kmMdeC0rCkpb6DBnilr7dDwOdossTL/Dk9vs/+CLUAABAASURBVKxBJ6GcI6kkEK1Ks/UGw5jp4rDpFWEHPvaSU4QC01dQChLwAg1szagpFlqlcHLxVYOLQHjL71UCuzx/x/VwupTuTOi7spdFBSm9+FXKgBRo7Ni6ID4ZvianNcNn7KRDi9VlBc8nwYrzznYyPiuRz6eMRQq2z//ZksJUmCrUTcMwbyDBcmAQ485GmqYN5LJY1fLlXKcY25bCcXsnmi0B1fDA/YGVndErXjjXj++pVgRbCbByiF/j4gkuMIkmmHG4u+4Cv3mwVjUKW17T/XG+P7wJjWKCo0gOyuAMz2vUJCzdl5ah1hkLLvV7VnwzMNqHjuNnc82OfsAc1FC//So0r9kCruNyYw/W+UeIiQHW3R3IfZY3vcPH8B0BBvOL6Dt1EEIhofbGyxGN60zQQtUcgu8JtIuBzN9+ddhveHumxpRY9VK05jyEa8GzHPjElCkDwxB9Q6QcA7yGBzZYCubnZVmtPIHAFqjao2DlvwSezSNmw7n73RKDn6tz97tCK/leOsfYZngD2+gkDvS5Q+B+LxEvwBNzUxI7oPPISJfH+7hzUi7eUB/R//6PoZLin/uJeXk/glQGrYkmFhdUnOi7DQPEk0I38IJxC4r+EFozKgkVRVoMeJ6ruSCntmkFqVNCsR2QPNBJnQ4ioSASyFmQVovTUOgx6b00mE6jno75RMf4Xs044qKFTGta7uPOCE56hAMSiMLFOn6uDGjqfWg0AINIVYroHsNAYxrUJkarhLjmoOj2wednv4Zwy8/Gp0Upyzeht5vQfA2BZsLp+uaHrPccntIWYEvxzF4dhYd0ZJ9RZInmNVvRrUzh9tKr1BCU66bonim8kKO9QNgkTLm6D4HT8x5Blx2HnTB5pR6G7N/U0SvytmKcZqeXFagWdVXKK/Z5mOsNn2/GIRpDCKVyC55mk5I4QMtNUdsA6lMCx76ogN9OYcFkrfFHxZeO2gkh41m2OJKx748nfGo3x0LC8+FdE+4xejFXEincU07Y0HosbOhaR6BM0kJhd70iaGPmkEnCHpDYFsDUw/aIcB6yJmWU5+r1WlrGF/qqMiwv9kOz52V8pcdzE8ManUUcjv/InV8LKG5FIgbKGjRJ5q7usdJdHboL777jO3jfG76GO656Hm8Y24utxhTSogFVc5EeWETBNKB44XlGEiZOOv1Ip0qkALQwftJdtfLEYCDhTVrcjui/6CzAygzyeIFVffRrSL70HPUpASE0CD8gZU/YH1lBRWi4woojtv84R9G4ebsMI09Xj4Bf0Q9qPdBmmhFYhtwP5zIj4P2fXdL+aGoCIhNa5koE8sx4nnxglpRhMnKRXnzmecQ8FylS6DuZi+T/zuPcCgzERB/Y2r3bsdW4ChPn85PfwKDHs6vqw81nltH2tcqzlWKpFOYeeBH4xrcUVK4IFWgMXfk2LcOWO4EeZStEoC4HX0RKMzKylO3Mg5X9MnGBnt9RGPpd2yocCXf2WFaTWmnA9Ss4+HQFq+UvQ6aElFeCAJvS4zTnOLAUHXv1XWhoCfSm54jXaKNY9GFTF29U2jBVB6mB8O1qRfMQ0N9pnx5T4XUKbLAWqO18TJ7OAivL2WqU+YejxxTwL5USHJzh2EYjb2XAiwGcuXEiHAeDzFcxoMtprQWZYmU/R+ZY202RGXceW3UgIQROmn1oCgN6bYJyLt3B98S18VsCHLLjt1U4ZPfhzBV0fp2jS+6OzhvQrKRmt5TxciJrlGUF+ILfQlIQj2SnJVZ6jTbnzMiS/UNzD+J3Sk/jk7UXwVbtnMf39avZa9CnnuaBOH4upftsZ9sMtqxPkOwpuuRbc2E/VAPIDMShPPJm6JM7sei7yOkW3OEYxocWMOV9Fye8L+KU91VM+Q+ilRGIKyquXyjgpmevRUro2L1xHEcK87g1NsSXKp2b0GG7ClTFRq3ZhEu0gzPMw2EfWAgMuKZDPLJAwSyil+R6r6WT7AKkhk5gMbaB0RGffEKG7Nl1YOFFBwEt4MYyKrLKVgYjpmdl2FR8OAMFGTdOzsnwQj29UsV1c3uhRJ3/QiswY2EJeu4cEa7g4IKcRjwqF3A6Fu4KKdV1ax4LhoGJWBKFI9vx9fot+MfyTnzB2oQH9G142N6Il6b7YLkG/MQ8fNGAQXOxoMtRFBduTxLFagpEMtBLNKd7S1Pma9kojM85cnsA1eAYIEh/odoVsO4ipC3APA33E521Kn4TBvTjppLy+vZdYHk/c+qBpTpiBZo8CEceJKeoT34LwmrJ5ErvwEEhaQ7Lb4MdnmAlzsp0UCnCf/DLcttZPrefzoHfYGfdQbnTjtz3u8sZOhAtFvCC5pFjYW43fctTl0omIeWtYjnMZ5/r5XPwudTO9/ziCucAra5bZUh6LATUia/h9I/cK9MCjWYb03PUD/ywvaOz1BstnJqaA+dHsFcr7HSJV+t0a59n/egArty+aVWX7SGCsHbR73uOp/UjUGJQiamKhIrzvSin84q9Jld5nVWLJUTI0bSD+VXzlVqoDPZTiaX8yDJdJ0W+1lEYrrRC8TqTHTOc7KLC+nRRMqEe1detJIny3XzIJOizxQgkw97OpH+0j5goeOihjn2EqG4wGppRJKdoZiTMth9OevmdATR6tC6Bpx4SiNyJryrodhGclRo8IVAVZxzRqq9aP92lu603uAAzInfEh6EJC2UvvIaiyTlAXPioOnlKBEimF9CuUpQOv8OYq1YHQLC1Dla6u7e/VWarvK2GjJ3p6dUJCXQTvahsDy3jE8RAsNJdq4YKB2eVlWNZ6ByeSivJjOJt2gGQ0o7jZ3U0yemf/3OozSJMmsjjO3NIXtOLOCmddEEPhgofwWvIh2TOZeQCvTHiy6eUneB1IWP8SUT9QZkIBeBzVace61i38z11kHmCc3n1XADavielZbMyEc6QCj2r5Pj3EJt4CrGH/x7Gg5+VEz4r26273k3KasiJP9bZ0oHxzfn9SB/6MvLP/gm8dhtOEIOix+Q44LHB48CnBa3EUHgBVkkJI+fwW4tCYsR6ZYDWtVvRuHEHnT/ABu0lbD/yTQzOHkSSFxQIRam3kP7OcxQDmtdsgbV1FF70rYViBbGBXJjXSMowEZzCwM6KjE8+TIxJ+MhkOvKUxbBPtTtWT/rIEPy+ISgK4DVtsMI9eq1XLEzADwLKH6VrjGo4e8gLO9aHfwvOv/qP8LdfvwzZv+HH4NkaBDFARjG0xliGcI6EsjgtMfzeTsPLVOgxM8cxZWEKOi2oMLPDTI9/7zuIrijwiP7MnDQwn9hEyr0NeOPrfWzapqEepPBU9t20qKYR51SBVg3PwXWdr1Pa9hKq8GxoNX8pHUW0jtAZCeRsQZZp0rUS4xp0aGKEy6FxchaFT3wDycf2g+/XNAPEnSLGT4V9yM7RAhghGqVQqud+S0lU/HBB9voTfw3zf/yn0P3Zf4X5t78n3RsP/mdodhP8QdS16BjX5ZDytUFt0+vMQ/FVwIiRIoXaiE9yFidIgE8e09DznI7c0zpShzTotPCp1pqkAEvCHdqwzKKUq9I6dNrJBFJ5zbALcZ4j4KWK8BQPPUpncK2ogBld3jqGhftRLWxDRtmqU8enyBG6bgrkET+pynCa6N5vVQL8Ny3MzFq9kCXTZSi6i0AoNLMZGCHmvNkRWunxy7dV+NsMLKTMPUfXZsvqlnmMZ3WmzHQoNy7Lf6UT3fUvnDoAuZ1MzwDOa57oLtwVL1mOTLmWIcNUKmxbm+4/F5tBDvtgtF6Abp2C6s7BKD6Nk4cuh6D/jpvCMrIgeayIeLYd8jj3JMeWlCJqIgBIce8HAuXx8LkQ+rKjwFM3QRZL5P3ouKAWUPyKxPe0UAkpExfg2bGtqGfvgzZwEy7fYeDOGxfxM2/8Fu7c9WVcs+s7iOevgSpOV5g3dZz0+jHYO06KFR8z02EfOo0RxsyOUM5jJqAFXIaK2ukHzIKtyguslJFo14iOqNSrNASOhwWvjXmvtfS2xNB8k7AAe2xAvn0mEx1Pbx0mOqcjqPTCODXXgYZBH/G01/afntMS2fB19DA39INEPzQoyLbL4D4cQi/cr5Hii0vFNtzJwQ+0m2CmAT42tHyi76F8crYLZuXwnhcEapaF6b4TSGp1zFJTf37fEKpBXBZ1C8sNgiTwFfJiJFMF1A/r2Ta0ztabF3oqJ02LIkLAyoUKPi4fKXnf8mYfH3ifj5993QLes/OL2LD9AKx4G3ufscAL74y7lpudBYTbAivX24qGiujBSPpK+DT39A+Mg38TJ9rg78EobpvwplAnXpXhqXgDoLHWaBDNRPgLVBNeLI9etwa4DhZXsCqDHQt1fh5cIktyAIcrHS+e8pYyvfUsrqyNQXd1kK4PqynBoi0n/I789JKjyDHiBYtyjAyrgE/XdVAvQG1QR8Cl+63cGoJr5nH877PX4td6rsF2M+ShGd7too+n3t882Q2+5PFoEXBMS0tFIp8gmTr9vDjNrhk4+FTtJfxpdb9UsDcozYvQLMP+WvYa/FHv7XhnajOjnuH4fj+avx69Shy8gPBJqqcbqdix0C0kKjAXQvmqtvVtEkWrTsiQFYOCnrH19BX46uQwchMN9LQUeKpAG3PwYRPVMxBDP3qMq7B+SsXYsXlc5qoY6NUwee0srqDnu1HPIFo0+BXlQdQqSQRU2kiVsOAk5Ln06ZCuN2AApk9dOEAhVkJ6wzqA5BG7KmgOcdHst+AZGah2FXrnOnlb2mD9IWhERtL6iLwm0C9hZskHLFGGvWFAxo3xGRleiKewTPbA84gdOoXkUy9eSNEl3CCTk3EfbRkqbSHD8/WYx1Ytagpix71kIIsZk3tkeISUyW1FQb6SoHZVAOLjbaHheHoIB44ZeOwJBU/MXQsRN+D21eFTZUY8CQgPfjKOWosaLhBwa2LZlqbMr2opoPfaAN3fx2JZAfTzOm/4UBQPPaLgoYfDN5ey4a0i4sVcltMJiXUTZa2BPSQbBD0E4KNakrKb9tS3of39HwOUZnDkmFbupXmD0zdc73NwXi74x48jePYRicvnZ9k0eqO43pGDU9QEEqHLy3es3nlBmHlYVq6vpG/RG0DRWyJRca9jeKax7ofuY1QFEjQ/8B7uLItEeImhANyurPeKYD8Kgde9+1ex865/hcef2b/UHN97fI+ER4AIh/HYve1nfgOME+VzyOl73/8fceO9H8bd7/k1HDkxyWA0W22844MfxU1v/gW86af+g8z/bx/7JDwaLxLhVfBodL4KZ7mIU1RqDXzuqw/h/f/2v8nG+X6sRlzIZbtqyHRqzoUzD05n9TWadFae1yCGi2E2yljtp5BiieFemggnR8g5HctEY3xWKg3XVp6HQlY306lGCvr14SRF1S07Iqt8dcVWNH1qTOLN9dCs4HvYUKxj0nbgj2yU8MQkMXwUa0MK1RQDNhBjypEyby3TcU2aE7tdlMerrbzHNSs0uEy382MBPBNQaVKKJrMBYiSZYLL1hrTJ6GmfAAAQAElEQVQaoQJsEUABLH8abOVeJqUWp3OGgqrdC5p3kDAr8NwAdh3wzXBmiCYZxj2b8665Faz0UyaPQekogFfi6x2LDi/ZDy/Rh/rGN0iUBCndV64cy4wL8KJz+pfvOncpq0WT3Z9DLU0iOWBD39wHNUUMD5W0s5vldZWu/lmcahHTQ7DBsItT7MIOQwdiwyNo+D1oUJ9RMwSgKpRjpwkrJdc8oi1yMDQGxQ77ECOz0t275jbiqFrSspm3wjH/4jdJYfkXaO17CtpTn0N69mFkBptIbzeR3Kwhtf+L2Jn9S+zI/gUKB/4K2d1/hdyev0Tq+DdhlI8SD9JGFX14un03siR4ROPCI2U7nzOeZx/o6FLDxBo+Myw8qarUpCTvLGG1d65H7XXXIaCGETQ+2PIuc/+TyP/dA8h87Sk5Xp2BvFTOc6Ho3FqxBi8ZcjNOqQGrd4dkPEfX7UNiEOBzzT4uuMgyJ8ohTfKbtoQrg0NgJZueisFpA4EfQKc+yderTh+VOP5QuEgmE+fj6XSTq+GNbkY7fxngOTAnd6+GsTaMmBZQH+VrjZillch+52OPUtk+vEluEWT4IfNeOtIigUagMbQDd14lUHjUwC1xFSlRx7SfxL74G+GTIKgsziJacFhZ/1pppR0yvVG+1gjbNkpzGAmd0T6Hs3MC6fYUTIPEjRULCMzUpx55gR4GoE8sEM3cBBZme5vHUSpzbUC0CKfXJiVAa4bPdc7qh0YKpuFWuJ+jzKTFNj9NnZVCTQlgWRop3AUUq4rVflpjDrztU9HLI+sR4SMkL5uWfZSiZz1YeR6bVKA1BAINcM0GMEuLRjSeQL9geCf5yw+jqEiAR4pUGblAz1oE/FgDvupDF6v3vVNuyKCzcB/vGhYFOjW/7snf8WALeL2sQCeBrqEE+P20QwqBAGUtwEM9Pgw7CZOEGTXegtAduBqRG0XHKIVB55HzGyqFKyAXqHgM8dsmC6u8tVU7AXA+j1V19UvGq/VbnDwkT9WbG5HhxXqRhXtCcUlIplo6w4Ln3B/b+LcotL+KVOVrSJc+jZ6Fv0Zr/AR4Oxk37SN6tZZKyeOZ9hxYqcD76SaEjg16WsJZYZDpVWW8NRc+U5no8pIdIbRc6gL+KHpeLaAExDQRZqCY5F/cwUr3duJ6NHruRS13HylhfxH2+n8Nbei9GM6EfKTqhbSHLdytwICfatPJAlQWGrAdiq44+C1IHic8ZlrqsMwV81MyZD5HCrYyRUqBZg1QBCll4lAQyH70rDUP/rEiTePvsGgOvKHlA08EbejOOHw9Cb80DJX4Ey7T7a5Ib4RmhvOu2bP6vKgmaQKmQk59hvwLP+zKcQQe0ZjcGGLZ1c9x4bW+ciWYbtLKPC5v+vSch895IrZSdFsW5pMVzI9Wce3Y19FnzKLmaPj79i682O4jZVDIa5+zskuAYCKLQNfgxD1oMzSZYPmP+bLlkDNTTnwT6rl3wU0NyUxWDrGShuftfBaSj4s/sQeL62rYfPkRDI+Oo0b98NHHFJztN0N8guI72FA4BovmGldfh4HYAMokB6YLC4DwMTfRxtyMJ/nVdX3H0VRNzGnrIGhRGCKAY3no/nmxLNbbi0h6TbACiB7bUnZkmBQBVm5LF8H5njj+hkM34e7KDo5iZVkJJE/t2nKCP9LaDALEhEtKd+oDxKts1YGA7u2Q0Qutg0vFLsmRywdIJoHZOXKzYqnOa80+7Ir1L6U5cohkzsdJITkzIxDJhtGiL+e/Eo4/BM71DgVp8DzJ8ZXKP14s/PWFJ8Afp03SXPjT6cvBCvbfLbwGP5+5ArvMfvSpcS665CoV4LnnBbgfMpDzWenO5fm7KKz0ZjjT2lJnnhwrf5NBaA9eBzu3Gd3K7PQGgBWD8xULtzycR++Chi21jRhSXie3pNqgvh3shtW7kFeug9EekzJzT/IUrnyTgaTQsOi38MvzDy8tGvDJFlWVnn2AeKKCCsJ70GcX4Xp07VDhEv1mvGxaxwai1y1aTJo/Poi4XkLNOomFxE7Mz27A9LcbOPSPClg/EKw7DCMTIIWNXFS6hNErw7ZdhjMY0m9tuiSV5mxRr5AiXSKcxWM6kP72c7Qo1JRY5pFJnE85idzlBenw/EEt5N1VqyvzPKJ6RZFYLhsfyBigLxyWsSdzgzTkXaTLGWpDDfcFu/HezD7c+eYYNmxskZ6jjMO1EYnr99bgaw6S9fXwiGcLNA1lN0WDEchZAvy8B24OsOHeAJf9tA/eCqj/ukCWjTyWFTjOugsOub9F/ZgV1UeOCPi+wBIvRosN3vZdeM7ehYOTddQNgeN1AX5bLTKU4npYhtO/+kmOLrmIVu64HFhpkb6EtCIiFohHqJYhYrElq/ZulMXOYhPTiW44xwf6w3uNFk7Xr2PocrfaPu6MwQZgUh9BCXlfpP9h2YOSmHDZP+1SpHQ/nfpRLGqBPMmcf/Tn/4SA5osItjL8/37kJ/HAZ/4AX/7b38XVO7fgI7/+h9Tvw/nuu4/tluk33HkDvvKJ/xOPful/Yt1wv6zC9wO8/rZduP/Tv4+93/4rfPz3fg2f/sK3sefAhRsCygovwlMuoswrVsSmmYA/mvpr/+X/xS1v/UX85//rr1AsV/ErP/cuJOKxV+y8l6JixwxHpu6cuuDq7M7q60qL8agiBQb9s/Bhw0IZK38KtRvDAoO0ABwhx9a4bseCnZJwOxMOx7sd43Fa2KcpgnFihkFwc0SIZWy55xbSEqCVqjKMPBaSk0LH4UGaNH0Vg7U2Djfq8Ec2S5REx8K9GczDQUPCDDrF2I8FchV1+HYf7JjYdzuGseullVYutEBMRe2k4Ogy56V8mWbFj4yQd/WVIezoMUrQ0afGwRYCcVHFrNtEWwvrabZ9+EYegv49qRl4pKzhFV9fC4VQ4Z3/DOnd9Ho6E6DySqeMLfdUUm4xRFrIUMTq24nG2F0UCw830RtGzubTgsZKoqQceQHKKSIeZhx+XygEnK0K+Tp2aRJJUrZjaBhuZghs5bB446+itu1t4OtqKxkwcyaFiEI4GZ2tzrXytm8PMOVthuUAusGCNqCseD181bKkcI2snBP+SeR2/4W0RI8Uh+7tb4Hzjg/BI8W7Ror8RLqM8mwD43N5PDF/I/Y4r0F9cCeCTBaqXYFqVWAoFSQT1TBNsIAWiuyuBYav138aE9425AuA2ll88vJpeXlmpw3Y6k4CzuLxq/CcbebZX+5sWswqvu9uVN90E5rXbAEviDFzpzaa8JIJ1O6+bqmA1/nWgrBcZHrjcJU49U8QNchJHHP+AIbv9MHMUm1cYO45IeGRJ8rzYIM0p+WBeF2gP+wb2tAgAl+B3XQkqjJ9FEHdhh/EkNiSkbBL4Tmbb5LVmMefIgHx/MdR1D/8Qni9aquI+PQzQNdk7G+5UtYtrRje+SGwYl4vHoVVbaG54EDQWNjxrutI4adIvF47heszMSikZDqo7qB7VyEcC4p7/tfFFakRzVVDRtygxRCGd7tuoZPhzMSxAt006Ra6xicz8NFCC+NxHxDxHDRS+mbtKbAQXywDvpmRApEggVWvTkCrTjI65q0+JOwSdD2AT0p269/9d1gf+k24P/Wr0HNXot/rhdZsgBfyVbsqy6z0NFpBchwgsH2kiTGBqsPtza5EWzVtzoVt2x7x0eg9BnHiMaB2Cq6gfpdNQa9oUNpiWVm1FqYvZv92roiVcH68AVfzoQU9DDrD7bVDEAv3Yey0v00Pz/8k3W+8Y93+h0MOFpQACRHmPZP2YDhJGIGCWL5IQg1gkVJS0HMZJP6Or4FrTK8PMHCTLwWU9feENJIXh8uhTptRpGuSUM+R9IYQh+PfF2e10Jo5AaGoCFKZl3UJTZonuQLPjXOAJNFgFsASehXHHnsrvvPpn8b3PvtePPb59+CZ++/FnodeK4fvyFUazM4zkAXJe6g1TT5wfUcp0ktzNQMWSBGZ3xA+k9o0NTwDV7hIGKvRos+KrPNM/nCiiaAN4bdJARJDwO+ZX8Jm2FHIYGcf0ZBOvQqdh6sfTcQ4wCm/F8M9E2BF82xnbMiMLi/REUwtc1BC5ZxAC7H610LBnOd9zoi16whUFQ1yAy2GALyAw7H1Wgba3Cy07Y8gnvoSeuY/jmTtOzBaLyBRJ1pFSO0CzSOeCp0UP8oqipjedXegLzEEY/B6wj7z0Nm8ksDV1jz5F340xh+UhVL9oSJTJn5AvUUfKNK4T1ku1rcoYSTPeqVMD/bupbmluYjWWBkJkmJKMYF3j3wG12aeRrOnB19P34hJP+RnzlrZJcqMiT6aSzW00hZELZwTebuJ1MN7peEDGz9wfLW+wJcQ239SGkekHn4BPV9+DMy7RUY96zof1kvsPorF/AwcExB9Y9i0/SjUTAnzxxvYvVdgtR8rfnm+79FKSMVKaJH8oRkD4EViV18Hn9qtkJqD4rdx/KWQ90j0zcuqrOStpMRskQRD83DVlbDI8zoLQhtaMxJ0guY9GSFvYCBAsvMImc9PdeKUdcYRbbnAijXOHB05cy4TJCupxFdzvk88yxEnxEmJ8HqZnm/ViGeg+eeEliOesA1lDUMArqPbcd3d6dXihg5E24k+sooBSlSG2/qJpwQOHwW++W2Bb38+icx8ASXq15FyOsK9lGFk4b5F5GW1UdtzIn34Kyi++I/4lYWHwdvO9BKvzx9C5Q+U9nXmQ8Zb6ZgdfeBBBfsOCPBWTXxvjMNl7utYwX+ufgysyC923rodNCaQbJ8iuhlDc+RmRoeT3yJDc2E/VIPa8R0+xntLWI9J9JQSKNfXIa700eJJHxTSSkhk8tg4bfzoFRQDRrccQjatga3xGcD3wYvoP5/ZiX+fvwbldpp0GT7MRBnTboZRpAuIlHgZG45lQlCXyeZVKYO1jQzq9RxMtwRFuDg4L3CkvAWlCQNu1UMwMAm9YCGh9clrk5WRZ3boUotlqnwGbqFHKs7ZwCn1yAvIffa7cqyzQn2tcZ588iC0YhVN4gOnq0PwXQGmE1T9hR0kh3ABYbfhmRwDVvLEIXR1X68oMsPupUaSMcCYDxnMvdk+sECYaekI6PrSio3EzUNYNwZsuelxGKkK5oSJA0Ef/AQJEkYMcXeALkAnHlBD0Qnn46wFpGi+LewMwPMuP//OqZYFLCswwE30c4CZkKSAaYNhAJWqwGIRqHZ4fKb/X2jeh+ft66A5VZhpm2hXG+3PfhqsZPc37QR/88unRQmFlOXaA5/t1CvAi2Zc51VXnb5vmXkWT4nenN9JczUp+7tReZxEiwOr0bl8oRsbWI2+RTi8MLocG3BvfD384U3yvtgAMP3isxKlFQQyjLz0+ij2o7C7BX7537wL+146jgcffb4bvCyeJ6X8UH8em9cP47Ybr1zSDbM+7GN/8U946xtuAeuMN44NIduTQjxGnZJqSCXj+LcffAfWkQJeVRUMdwydM6t1BMJ/JQ7llaj0QurkRtp74Ch+94//Drf+0cUl+AAAEABJREFU+L/Dv/2Nj+HhJ1+QVfzBf/kIvvap38PPve8t0DVVwn5QPV8jAkYXp9iz5F/Y4eXSsoA2vSjD1TxTkOBCGSu3lWFGj11AXAY7Qlk6vHxYLwN4suFwpXM7OGqxspSldZSMNikFl4BdET4PKwX5vCpNRl1ZGNPSmMyqcJUAY7RY0nRaOEzKI793GLGyjcRkDR4aqPknloqlxgLwKmp2G8AuQUS/2zGMHeNESvfpJwR4kl+qhCJOT0A+EE1OnIisNcYnBJjwM+xNifVQ4CLAHBaNsAwtxMPXC2ALd8OswyPtFCtUfGIYuYxq1ThY5njbktSRry2DccLffj3k5LGKlTszjHptgtHgZEZlyF578Nolpsfq2wkwcA3HVl7m//t/IPbnvwX9c38GdfejtFo8BeMf/ieU2XG4W64COhP8GlWAJzXt0DPoVrZXt79bWjl0l4kE4Rx1P+pi3VkXFM9T+fnkddSugFMvwaf+AKu15lsAUeXK/DQYLxgcgV9fQIUeg1Y8huy+v0NsJiTKvLKsbR1BbHsei/F1OODeSML2G7HPeBMe8H8GfzX5Eewe+jWwtf6+8r/B/vLPYXH7B2WaYcVdvyAXGGrZnTg514PuCVlbDMdFNH6YCWHHfaNNTEV0nauFUf+M966WG8Kcoby0ZC+/+06pfG/ctAOVt98CHmMhBk3ihXAca7TAlUwGqMaJ8fMJbvSCF21Uu4p0az/GfsyXTDIvSC0p3VmZXCWBLHDhtAE9GVvqG2oiVJIFvApCJzMOPwGfGAOrsEnWQ6BLcjhbryehsw/wHGJWw2d2PhULUqwwXtA/zAGSJ76NxKmHEb0Cy0DvqtfA+vBvgd924LQgYc+tE4M830S7oSF912sQS8RgziqcTe1q4NoeEzuTBorqED1rFQEtXqn1C6PbCisaqMb2ILUnhVqFtNUURgdfBwudAS3m+ERDmPb4rTaSbhE6KcYDYi4jXGb4VRIKXBIKnIG8BKtqVob9wZQMo3HodmiGRgrtqP4qMdKZ9hRUDQhGN0p8FiB6vvgYYlMWDKEhS23i0CVGi30SqctjuE8ST6xWhCaoTXSTaFiiC2P1qHABY5Ha1vWhjO8DCzJ8L3wf5R+/Hq1NIbOTGFeXKuAyOjHlDLiY/du5XGtRwE+V4GouskqSQWe4vXYgYVs1IcMiCaPRmL1SD2HH6pDW7X+XdXGgx0dOEfg3nW1RnulxUVQ0GJoCRXchqEhT0UF6OQx7lKBatRR5XUdyOMDgzeF5+dskEQ1glFpnkThNCnpOf78czxdNuic/lkSvtnrbne+18ZYyfLcqTZxCCOiGKov6ro6pxQ1YqBUwUxrGqYV1ODq+HQuVQZpjVfTSAqxE7Hj8+ny0L230AbtIYGeLwNSgAj5PeS5Gwni7U+p0EFkr8eLwaeiPYudqAeGTlE1IPgnkFLwiR9BRuKNzrhgJOyNxE4ecdShkZ6CQ0n/8FE1oq5w9WqxulqifMk9jtWD+wx+DeQJv+y7wgjsXSzjUJ6hPt0hOGGgyBIj60/VKDnptDnQiBJSvehWYjafBb15wyNhW7Ao4HQFMX4UPVwdvgHHdL1IdYf/mMt3O6Fg5682FbvB5xZXqKdiVE2grGkZGQ8XXeRX8PiEdcXwI4hkur5Oyy9QBoeBsP7ZS1Jtz6B+cwNsL38a/Vb+MQVImm5qNuwYewjb9OZq4PBRLZ6vl0ufF9XARx63PhIq37zwLtmBluYbPxvHcZ78rLWKXYIcnkP3M9wh2APMDU3jhzgk4ziJ4rp0/Sn2QCvLin0pykf7SMWnd7uVTKCjXIT+yCVftfB6OX8Pe54NV73dmjiqgY1PqGGiVHJZiQNOJdyJYEN9KaR29+UkI34Vq12DoLcSzdVrCiGFnaj2UuCXpZL1Kkz2ViQ43HvIV663wBONdCnfGiSw5k0lOre3SxH9GuawIG1xlT2Wlozz3jB6JuqczD69XfZlmeh4tgr8YH0JTGFA7ZSTCGp5eHUf+2f8l+cA1UJbA11wVgO+Fefm19s1/umOYso4WSAb6AV7o6DsxjIVF4K/3z4B5tqUKL2Fk3K3J2sbsnAy5HTnCPOPiwh60Fl7ApmYF95Cc+rG+28FKc84/m9u7VwHfK9fFIS8gRIs6b0qM4Y74MGZI2fufT+yWiwtc167UYxygNXgNAtWU8XZvuOCnVUMZ9VBQwldu3Y10/0HoNM4nDo6Bt3ZlvoYNiljOOPWAwImvKqg01oGrSQaTsq73Zy7H25ObwJb5H81fT9cwgj5aQJhNUt8UQCxZwrwTR/TjLQ/raRV226RFmACpjIE8scED8QQmgl60pnSkjHn4o6fgve5ZKD/+TaR+/GvouecFGGl63spIVJUMTSULhc7jxcpo03iovPUW1F63Cyxj8dZiLGMJ0sAa47PIfulRxJ8/LMtFHqeZBjDePvVGzOgbYBPfGtt/IkI57zDoKH5FtQh+G58LqiuMUBi25FZE1BrdCMGi7WTUmSNQ3CZKholT8RRydQW6FUMcNnRTgX3tGFr+PNqYw9i2SQgoeK5ByyZ9s2itS4B/CYSyQqnaAxD/lvQFVvKzjLfSKe2KBPkk13CkXFY4wJZNAd5yr4+eTACWNQ4fFTh1SsgFoFJNRzIt8J7EP+DK8jchZk/hkdpN4AVz580/jaB3WL6d7Kdz4K1n1CcfwKOk4wH9rr4yIDpHkfM8ojfiRf/wGSWiMZ1cg85xfzNCkQUcrkbfGIfLM70ollecgngU550fIr7krTJj3cxRKNPjONyiPi8hoccygBoL4983f/4I8Gq7xeNnvd2+QhYf+ZkfB1u5sw5uNeRHSD/86S98G3/yiS/hd/7oE/iNX3ofNFVFqVLHoWMTRAdb+PB//H/w0//ud/G//uaLaFv2smompufxB3/6Gfy7j/4xfuEDP44tG5fTjWXIlzgRjpRLXOn5Vnd8fFpuF/Pej/w2vvD1h3Hv62/CX//hf8I3/v7/klUM9hdk+L+D5+r98jI1L2RoZOI8PVa6MVHXiElTVrGu4WpiCJmudrC8fmG7nA1/FW2oPTYo89jzOkp9jnc7L0/ElgBasUY+oJ9j/3aJRJ6fCidKtdam1OkjqWhokzJjOhVDyrExSIPgqWYLQd+QRCos5mVYC07AQUPGV/N4JX7CrZ+RxUr3NCnoOYsn+W6EpcmoHk5OnMeLV5G1w56OVQkL8rzirgRFnNJtBAHgNwO0RQEURSq9QDABZioiRkR4bWICLK5SOrYwjc08B7P4EnjvdQns8pas3DurtVGW1piXUTfRt8TkSAB5rZHXYPHGX4HVu4NSaxzVEowv/HmYabWgTB2D9vA/w/yb34eoLACuA+3wHlpeXlt6Yct24/DTSPW3IAYGYQ1ehcoV7z/jevgks3NhW7IVDKdfjhvblkLZ60e7ZkHN6LIq5fgBGa7lRfkKrWrWyjZmq1nsntkCz7KQHP8uMgc/SyEJQBTnlfXnrdtxKHUP7v7pUbzlPUlEjPSDDwl85VtZHJ3rwXg7jZOtjFSuT5d78MyzCtgq5B8+o4DxQL88dVMeUmpnXHSPH5PyCAVOhwni+GquOR1CzVwoaISptX2mA+0d6xHwibvQOM2OmcO+oApbxImhEbTIMg3uM4wan3wCMbou/ugqpyOlu1IJ+5tPEz5bsyuDp5kQdcMmRkW7EcCnjq/UQly1L6Q1MvMSee0r3yRriu25X4bn48lXAwnR7x2SY0+vhUKA0dnDnLLCQ+9wSJQyikdgt3yIWgOpZAD92l1ghbBwQQtcAZpjHmDE8MbeFgYNgRlnVN672qCxQ+XP99AajkS1Olt3aY2KvEYJJC8a554ZLpYw45mwS2Drdr+XngExZoRGgvuL0Iju8wJm7fXXwaKFI4YbMxUw85lQW8i0pjE7y1DQgtgWGYnP7JYh179YEoi7JegagahepuFsMa82mtSXTLDQEbgJeZ+CFiQIa9nBMH6t23YCVOsxxIQO0IV6qZDGL0NekdCI0Rd2AHV2HMbx4+D7qN92Jar33gSfysv2pjLGogKlLSgGcBmOXPT+7cQ/Mf0PiHb7KvCQlcGizzWedk1KL9KjTgiBrTQfNaYEZh4XmH1CAfeFyzyBPkegTNf0sZyL+wvUQUSAD6UZH9iihdd6XMvQAgSgaZRPY6QVpEhpBwy0FHkyzZDBMi+/M0B2awC+xqnvhXh8fo+uO0FTspFahv7qJmjO0PY8ijmDOku6B33qy+P6SySw8qSpUVvTpAndUNCg+deABSEEVLrXvrc4iL/WQvo2B8aNNrJvsDA4rKP7F1m387ycEGFeQqFrJCRWUJg5itBRXuPDqUwyjc6zOEMIonJrHY8/qeCFfeGzXgvnXzJcc0J+0tdC/nWte73U8Bwpamf9HPpzM9RPfJTmrVVPkRoKwa0F4tFoHpAp6sNMQyNlu5/O00Im0WPXRVMP+4wkdoScpL40VHIg4jXwFiJW8ipUc+9FM/N6OPoYAiUGTyvANceW9vnVZ4pU8sIOtdNBnUZn0r+A4o3F/XDhY7H/Sqj6yxuPF3Dai0adJNqp0ri/vO7AN3WUiW1gHooVfAReVu/MjMD8qSpiqOG2sYexGVMADbeEPonm6DA8I4M+cxYGtZvTJhqLV++nG70AKREbyaq0UOcFl+lbM9h/H/Dce2qY2tmmvhGALWJzn/1eaNH+yAvwvBoO3DGNiV0e2iNpHL92QcIWDjVICebgMvEYst/4NhZGFmBlVFLcDCOu9CGrX4me4Ro2XrYfSrOJB2luqDcgfxyym52lxvE9jKamYakeXKKBPeaAxDFj22Q4MDAOiAAIPIz1HqWFGh1NWjCKc1HqyyYtZAiSrrqfhZcM6+hzylQuQLeFO+h35RU+YtT1tl9GEyel1zqi/Zk5nxXVHK50WucNXi9B7UuZUzw3UPjWRMgLMT2nJHiODVQDJ3mOrZ1i0JqOeZT04a+iJGKIze2FOb9/Tdwo4+orw3vZ84ISgZZC7qu8OMuKs1tvCfDGH/PxhtcHuG9sGPkgjhNaEQdJdl0qcIkiLNc2Agdsue41NFlrtG+035gF52tQ8MvEm7w/fZnMP5fHY4zfONhi7MWHxv4n3jR4P4bVIzj4giPlGu5XV81ugT0bx4u1Op7vP4orhk5hE79dRPN/e/C6pVN4JJfymFTtKljG/VzjKGKeh6GeNoxeEy0xisV9wJF/VHDiawIsZ9ROCsnr+PR8lYE+CJKVuewOPYd3p7agTz3NR67X0yiqGjxXhW40saiHyl++AFa4N0wF3Ldjeg1GLJz01w8qcI0kKuU80ifqyDs6coU+mOkqhHkINsrUYgbSYj1W/gw9K0EWymC6Y6/vR5tkLOa1+Q3j0rvvQnvnRjn+E7uPoIcU78w/85YznAb9To0RX26oqG6fRsM1ICotcD5lnf9BModEttqIFO7Ck5BzeoLI4koDFXPhkCz3RJ4YSoptmNcBXyApbPjXDhPfr6MUhNQScP4AABAASURBVGNk87o0DNJtzE6PoGyWMDW8H4GmY/3Ju7Dtmdtwe6UXNzZU9BFdN1JEV6i+sx16bVJmsw6DIyc7Q3dgMCCZC3jTG30kEiAZFbS4Q/wg0TimFW+4L4e0UsNOPIuUqGMqdQUmt72VqwgdLUq4b/kAYMbx7MMNNKeKctFs++XnvqawAvKJN1AWwzlYbN5JgOVHcTFMR/uwh6nlfi7sMrSAsBzenYrKR4ZQ3Xkc9665Fc47PoQRQdfuWJg+8Jw0jOS8yI3dE9KnKP2qhnYT2PO5V9/t/8o5b/P973oD+GOn93/3qVVxj5He+Jk9L+Hg4ZNIpxL463/4Oo6enMLsfMi3FXI9uO/eO/Hjb7wVf/2P9+O//49PL6unVm9ifHIOHM5QGcdxl+W/kgmibq9k9Wevm1ckeLVh8/ph/N3/+1H813//r3HjtZdDVb+vl3X2i14j11d74Ck9EH5bfhxsDbQ1wW4uI/O0xZoMV3qGkpMgJyDqJWOhF+F7HUv1EBr6zlBYhlNuIc3BGc5LE5dF0EjRr3as2501rNsJVR5R3fps2MklkLwxLTzPbE6HRwxhqmXhWKMGfm2IspE4Pk/Mdz88UrZ3W7lzXrf7w/Ie/HrxccmAdMM5PvCaAFoKcpLn1XaGsXOyIQHTK4KTS27LpjA6w8xsGAVb0elwcMKwJES3FejJLAKaunW9jcBtUv1hPV7HUiOy3AD9upXsvPc6MxgEXjr8yMq9VoJy8JkluNqcl3E3s06GZ3rhOc+EE4QmE/3zfwZQyO3J20Y4d78b3vZdlNkpp9LEa7ch8Ug5TxmnD0rrf/N7MPY9hERfGxgcQXv4GtQ3vfE0zorYdEfRN9i/IuMikvzx1OPODvCCo5YKr1fMT521JnH0gMxXEoEsN+Vtxvcab8NnTr0HxXYP9NoEeOGjTkqehxfvwmG8Bq+905cTPy+2MCN9w64AhgFMTwi8RMPniC3kh2RYuf6NBwSYWZ2dk6cBK+gZ/w13+xKg1lsy7B4/iSGaRAnaWiTvLEdrMbzHxPBZkM4zK6IPJlxUE0NSnyCob/FbEk56FMwgsxDCK+e8/RJXy8xw5RnSVFCiVe/cz9AgpcIjIAbHpHbxSdANc0M4NmzuRC5dYA/tBIjJM5z5ZeNBsapInvwu0oe/fMbJxPy0hAW0WGfOh/2AAXotZPg4vtJppJkJ6lW0qypMHvh8jzMq+Gf3+mit99DMF6FSO74170K4KbjUH7Tq2fshl+92gpTTnHayAQItRvVkoVfDBQGGR+PcIwGG08USUGgcg87W7XQ/DIs/f1gK87yYUrv7WrCC2hkqcBZUngcIj/tt3CliprPw5XQs3AUJNYzY0vrAFk0pUrhrWgBzxkHm/iehNppgK57G7ddAUDdMtVzJAGsd+sNlI6c15sH1LTgF6E4bBv2haPCTcaqHCkeIq4TmnAKlwfSyBDefQfXeG2nRYHQJk4ULfvNICg0dumwUFZnvpcNxJBMX4LHiOtAc2Ikq3MDAE1YBH6v6ONx5JlzVs3S/HG7R2AeKewQuj+vYVtWRe9RE7mkdV8xq4Ot6PuGBX/O9L6FgVA3v9yYzLPdQ1kPMTSJGmn1NqLCFjrwGqPXw2mOFMAyxT/u914VzVHMGcoun+ikhMyPaIRPfB0/d/aicPxrJBAIz9rKuoO35aJID3VqKlESgjqYbCmrUNibasu4YsTXXXBfHbbcncfPr4rjzTQnccHNS5nV70fYf70yepj3rO7wEKyjMggdQf/EDgeopu7voUjyXDaONGl1QGD2rbzvA4SPA89Q3zor4LzkzCJ+TT4rnV+o2PY06AVWu+BXyw2M0YaLiJ2GnbJiaRQr3FlgxFOae9s3O+LKKQNAXTqS8EMlWcSyYS8xMlhYcbQjfx3wijj5boXEdzmjbjRyYpxWJOpjOemoGrFzn/eZrhfei1P/LqPT+G1mNM5iToTZNxFrGzt+L9nD3iX6efylA0AJoey5cPB3tuxb/O/z20AKrqNDYpznpH04Z+MLDxEMdDLB3L/D5LyrSgIGVgHwvzz5lQbNKuHrwIM1vYbu+4Gyi2TfApH8SjfUbkcgSPSBZoVm1uMir5qinwCmkULmygPF3rscLb5zHxGZaCEjV4BFpnNzlYM99dal4930byuICJi+v4IU3l9DYkIISzyGprUNjLIWnaIHVdoH83CkMPvs8RHEGC+sWoYoiNrx0AD37PoXU/An0ZK/Hls0vQk3NoEFtyO31ib9TZLtxfGYOULwmhrPTpHA3YSk9KGh0MdQqW3VgXt8KPduilE8OMLMV0rMpMOJbZDquJZAyKwioPbvHk6+ZCGhOH7PmgcDHApFTWaDjmTTfveedPl1bB7BGUAiHiMyN9juWiS5Psasy5cd65JzcDAKM0LzaqxoS3vCpoSi2ThPwVBO7zSEwD0KgNY/U0W/gAI3dX+27F3+R3gU2MGHecc0ClLGFphJWqDN/xAp2AsmD2+XFl4SM33pzAIPalRNszcqW8W8fGeIk/rj+PFgBLhOXyDtoEyGjunaYOdQb4TWYRhg26iFfmxAaLiufwrnuj6oBz2FsCZwQNdxWeBi6sLA9vR9vH/0yfjzz59hR+yye+8pBlJ8t4m2TWWz3yohvfAbXDHwXGvGL3dbtXB87Jx/2pfHpx8BvCV3VWEQvzw8DI9j4Dl/K3vwo2XigcAXA37DZRHDe7zvoC3k/o/P9Hq5vpesd0OFUexBQPwxSdVjQJEodOmxixARJ4RlzERq1EWcMDABpUtrv9zbDa9voP7aIwdibseNUHmNTAXLtPAaUm0hyNxh9mYuZpPkliGWTwp3ClYefiqNx4+WovukmsLGIVqxK/pnf1GTcxo07MDnVC++qxxFs24+pG4jnbACxAyc5+7ydT3KIRK6WidcMeUaVZFYJO4en1RWJsWSgQvK/cfxJCdufH5JhTzkFBCoKaCG4vB8OGsSBzck2GUlvxVC/Dr2VxtT4RpT6jqPWW4Gnu1AaCeoTBt5X1vHOpo6BlibrW8uLzRBt89pw0qPwzYzsfzy+WE7JZ8NSLHdv3RxAp6p8P8BVVwZ47Z0BksM5uK95E1jpvukyDUFPHt3jkksHvUM4uPW92OdcQQsbi7g7/T0oE8c4q9utGVdYZrRaEKOk9InFz8Crd8ZcqqN/OAOBAKzgTyYFLj+Loj/ax322ox+hYmccPl1Dz5veA6SzaBGfLL85Q9cWIcbzUez7ECoq0Efj/NV2+Q3nvNmedBI//9NvxR//xefguO4Z+B949xvwB//lI/jj3/4luY97f18O//DFby/h/dK/eSfecOf1eNdb7sSv/7ufwle//QTRmnDMgX7bt67HH/3Wv8VXPvnf8Y3vPo2vPxiOJcp6xY9wJL/ip1n9BGMj/bjv3jvk6sQ7PvhRvPcjv43PfPlBFEvV1Qv8gEN9vV9eoepWZHghnr2BZhUqYIzPkH/mYSIriSev5vqwEf0Ev9dCicDQyF9+BMRJ1O+4CrW7rpHCxvLcMMUTDsd4ouHQOBGe380RAWfAGs7rWMarC8uf1QY9LUvMZFUi+MCmxQqKpAA+NbBRwpXJY+hTb5DxWnBCTgwy0eXx6+Un3SopFQN8vnG0KyeMGnRp0cdWebW9uF+EGeSzcocC6OXTXZuts5NJSMXUkU51d8RHMEgLOw01YHQ0Wx6cIEMLARpU3UHaXEC7Eub5ZnhPihsKBKzY1GsT8IwMIuuA5LFvnMEgedFe7k+eJgZG6Yg8X/QhRZk4T0//yifl3mBS4Lz7XYAZh799F1xSurvX3IK/u+29+M6//k34vcMSj5XuQSVk8JRjB6QSXiElbbzfQTC87pzKdmbm2ApETqaFsC1wAb+VJag7Qu1bJ2twTV2G3B/QNQlJYORVS3QfxfA+1VDAcAubwW8szLqj+PSpD+C52i2oOFl8de5tOOxeh+uv88Gv9EZVcMgTKL/qNpQMMGBQn9zgyzq4ngEasvxBljfeHeAD7/PBCnrG52vlRShBjcDjiB3XxS5eYB9oTp/udyHktM9KQbZwZcaU++vpnIuLeb0ZWZAt3KvmEBwHEFVqG5D+rHcH+ZBCCEd4+6VBEiQ4LkrzHMDpKCC14VBpwcAgk4VCw8RvOqS4ZAi5dAZBIkORS3v4xJw5Q5cDSoD4U1+C/sw3kTrydfAHa2Ozz8MoHQWPq+6zcl/ldJDOUf4RNGs+FiYacNvtZcptxllyc0epQSxSoitQL9sBQfO1XhUINAIPeBKtnZqCY51Aj2ZjePheZu8h7KbMOx+PlSSKQxULBx4xdU6GOhUVNIp18sNDa5LkTFE3QR2MQt6/Pd2eAluRBb3D0KeLSOwOaQEz/B4pqwkNTI+Z8VdJYa4oKSkUDdrHwGR+lhYMA9WUzC7jspu3wvoLLtXd6kG8SA+UMprXbEHt9dfBK2RJD6pC9wRA1+w44gw6pdVOwaPbmXIGkLPmoJMAFMQSUJ0eZJ/TET+lYrUft63BluuWDd+dQ3vHenn9K3GtTrvHT9JDoEy1oxB1esIxTaALOqxFAWgOHM1DlZR2KgRKxNj/MfWPr7XCOg+0w3CrLsBjsWdBRVwJT8PfMyC5DjeTwM/9wiG6cE8CeG2M6g1RcDUpjjl6MOmjKhLQhAKf5gtb1TGqAh61I+er5ukynI4cj/mhzhjkha9yaJCE5GCE8X0IrRbYup3PPMdSLEX6VLpxCi/maLrhePKpTVTbp6cAGKZGtEnAbiVllfHc6u0jMzveSbcmBfuk0LGeG64D52C9Fs698yTkZXpVBqEx3ZLhSq+QDyGLpTA8l19vnMbgsXU69cMTU7yKvFlWRMvIK+AFiilrVQJLhuwNx2McYDzoQyE5BxE00FhFAaESaY3Rc+Ux3Bi5Bd6WqyCt4DI5WT7yClYNAS36NHUdAw4N9MCXWduNPPTpRQRaG2zh7qs9Er6axzQ4or1qcTlfuxr+aRigpcKB7Tanu8HnjKvTz6Dp1DGT7EV2TSOMc1bzqiG0bKD9oIrU4ymcnI1hnto6F8zhytjj2IhnEZSmcWh3CQ98vYmv/LOLKrV92mhicOsLaCoanrYvx1daN+OfGzehDhPTjWcQzxyX19+ohfREJl4FTxVJBMSHVnvKmE3ug4cGVCTRJ27AkHgtYuiHR92UFe+731XGC/cUMXW9QgvRJrJiJ9arb0ZevQaqksQsMYXtpIfNYgrKvIK5rSrsgo6Em0C6bkFrziM5/hCyAfHm8Tyuv+lhqH4R0S+etKDyOEiOY+POR4kHq6ClmnCNkF+O8ILYVvgmsHHgRSiKi8F1J2DRlQ4l1kuUhrRwt6AENhxLSBh7Hi/8U/uvtxYgfAcHO/Mj512IS6ZDrt4wgLGx1UuqVlVmsIxz2A3xt+kC6/WUhEcW7nJbN0XHSa0Hih2WkQgrPOYL3cop/HX6OlqgG8LDiQ34Z30YicnHV2CemXztXSEdOHpMkII7zOctjpifYr5/cDC8vjDjok7zAAAQAElEQVQn9N9Bi75by6OYttr4neIzuJRK93G3Lk+ynhYhG535h7eJZOBU5RgHSOrhnHc+97d3rwKu5/ae+5FLtcHyKH8PTCmMYKhgYTR+CjfGvoG7U5/BR9Lfwh/bh/GLM3uwSAxJm54H48uTdnnt3h2wiX6WyyF/+lrbgyoEHKJPPD1vJuU6f1CTZfCBm3ywkQ/TaK7Czm7mAFq1Y/YsU8u9fMJAxTdAVcJMljAveiTCgh8jQuoSPEBGrSNIhrwty3MZmkMOetswG1PhWmUo0wfgFHYgT7zkulkPcREqnmVFXV7K7JOpVmt1/r7lLqLUOgpnKI/K228B882yAHntnRsxo6+HY8wDvXMwcwEWRgw07QQ0mh+Yhye0Mw5jfI4U2e3l8M58pdSKYCMUzlS7xien13JqR0kcGahoex8h5fkCQIsJj+bC+7tuSgFoYUsnHtYbzaPsh9btSUH0BgbJuz61qwHvxXXINF2M73weL+76Hl4YeQn3JyzsMz2iGUCC+GSlfZpudF+ToMVhNi5kWPRm9fg4p4BcNgwjv68X6OsLcMP1AXgRK4J7198F6xd+G5vesBOsk5mdAyKdDOPUaUw8tXA5KeMLuNl4HP0HvgreC13/m9+H+uQDOJfyXYnemB/bzNWd4XisMDDbMc7k+Eo3ti7AO9/uIZU8kzZEuIPhdL9kCBXBV4YjugqfntFE7yiavO3msfC5rMR71dMaTSJXvxN4td0Vbz2vW/2pd7wexXJN6oPPVkBTVWwaG8LxUzMYHqROR8gTU9SpKOTDdT3S7bV5aHBymWPFfl+hB7Pz5ykwLCt9cQkapRdX8FKU6iWl7W//hw/imfv/DP/3f/4FZDMp/Nc/+Fu85QO/Lqt/du9LsrFk4n8DzzFDDkR31p5s1roNp2NdoxZra6EQ2QypWjuYX8JR6i0Z92ilVkZWeNbmEdgbV5+MGDUgzaKXSnAUKk0iWsfC3T6HhbtbCJkCbcXiSELosq5TAyZ8P47hSo1CB0d9H6wI5kxzYhZpsQEeGqj5Jxi0zJ20Q6aEgQ+1plZleHjiH+woNOafE4iKeKmQSEaTFNfB7uorfQ5w9NjpLv+u1HrMGR4gAJ/mx1g6C480MIruQlMsOE0f/AuI8eWQJxx28cknOInWyM1ojN0Jm5gMlRhGttSVGR3PX8XKnbdu4Gy7Y0XA8fNxvA0Mbx8jle33fYgm2+Wrt6WFeXxv/RX4+571mH37z4HxFFKuB//4cfgPfhn6Vz8BTitDNEEPDZOgkcLZLNv5mronU+omDAJv3fDZZoAnrLBtJHAVjxVfv1T08OlG+DwiFKO3Fw2/Bzb1C7WjqFQmQ4ErwolClRYJZJzKuPUaLYjEIAqjuPU1AXjV3KER8b2Z1+BTUz+LKW+LhG1ZfZ5FivQ/nHU5CQx3vD6QdXA9rGC/fpePgYHl18nn1RbDsegM5jm55HSqgxNWkf3VXbOjjDeXF10d+Tyg0fhmi3szE5Ml3OkZGfKe/56RAffBOAkhBimv16W/i6s3fAqF2H74dGt2nfo5YSsDQzBOzSH10B4EhSHoOmWSBrLmpCkXCIgxkJFXwGuvv5n6bQKxWAnZE19EfPc/Q5mdhFe2AKIP3XuzgxZbeCHGT+chNAV6bQJqfRH67AKsahvGKhY0ghhCt1olXWybmEcV/uhGxCZV8M8a8EFDm6NgS8lW80Go3hz8oABDvQtq+fwt3BVLk/V4sXAMejFTpvVySYbsqSRgc8iCLjORtg3knSloWoCgdwjmkQnOBjP11tZRGY88t/NmkqpmJajXD6+NlfYMcDKn8We9MN7jV2C0SYGgaeAtXVrXbmVUsCARGCZMosseKaNdetaRQCwRyNOrE/CCAEUnh4xXJXKoIUjEofo0aCg/PqFiNSZcqyu0UEH9p7WIQPew1pzBbe9RE6kW5PPQmoJqBS5W4c603k+X4Kk+ij71e6pui0Ye1fr1VoCPVX0816TrovSVhkCdFmT7dIVSwH4SNg5naNn6RhvDOzwMZgPcQHqAe+NhvkQiL07V3dRRph/pPGdHBTxFR0EVcOuEQHhCD89D0TMOFkR7rw3zPXr+rDxMDofpM5AvEHDKrWPSa1xQKbVj3e4Pb0K9d0CW7VVjMrwYb7JJD5QKBrqKoLPFTjKlokECoh44lAMYhirDs3mRdfsdcVKiUD/txu1T4zK54LWQHJZRVDq0NUyd9iOLy65heDpzlViDhPUIzG+gRPEfplCl8c73ezZFNOe/HBeIsI8Jv71UTcEM+cRDRL8ScerHlFerrc5T6OlwzLTcPNx7fkrSz6WKKBJ0lBnxdgM+US8BDeBJj/LYwl2fKUJJ1OEbOjw97PeUteoR0V59prRqfjfQPDyB/Ce+AbVSB/OIppZEzHcxZ5+7bFRPc+55GbVGXoOId5aAH1Bv/4KAUgrQE9i4IjaLdw3O4V9teg53jz2Ot2/7Hn7uin/CTb1PIOlMoz4xDUHtcfPlD6OWFqh6CTxsXYkELVy+4GzE48Y70ISJmlYGTTCkICYiiVfvZyJLPSWc42LoR5+4AaxETysbEVf6MKzeBVa8J8UI9R0NTs4AK9fXqW9GXtkJ/ulISry5qT5YmQCJwQW41LWnronB7elHvO89KO76iFSECq+N7IEvoSd1JWKkYP+xWz6PD9x1Evf8xOPY9dYv4DVv/Q5ue+tjGLvsICo9bViqDmNFfx2IhzLmNVc9iffd9mX4pkAzdgV4vgL9AqOAdLwGQfM5v2lEoKXDTQ4gSc9tfTtUSEyELOFS/spIi4bd/6/k4+stfykrTyzJ5ZcB114DurYl8LKIVp2UaZcUpofDaQBXUptw/04KHfzGEhtVjWpAQPf4ol6ARvySIP5NFuzyFFLe80LFF5OXYSYxhBGdngOtWn8xuUNeFyvju9DPiPL1smFNowHwlqIHXxRgJR8vGFx11en76i6Yoi7xxvJO9DQyS0p3vt5unCh+8ALGOpc5YIdCw3o1DcdmCKATD8H1R9tRJQaulRka8WUysoY3MyPk27lb9eewNXuK2jKGJsmk7cFrUd3+blRv+gXEr70T+cs3o0B6AH1gFPnsVswn+nDSiON/Eq9PHDBW/mrxLJ5WgYzTxIc9E3e1Q2W1nWMJClCNlSVOpx3iTQM1Jp8nP7vTOadjm/QMii3iVUWAZGYBDY86B2U3qD94pIXnvtsbLyFgpSDBWTZTBVCo9eCbyU2o6S0ER56E1RuOQZYb1jpXTKMOS3VYQZn8M4+Ti4/g1PzzmF04AtaFMN9c/vFb0dx1mbR8n3tegb9pPwyagzQzgEg1UFzfgkM8TsTDR7UK20Hy/uchPvE81G8fisBLoU+yDCf8Th9Yjafm/JVO77wZKvllkouM/Q+DBBxMDW9DQ1GRsjyIGt+ngLm9QHOgDTZm5HqySthGrCDmt0lOFoeRmx7BoHInNC2Nac/Hg1kXf1twcErxqV4g0fW9Ja4jcrGZ5yCIhjnpUfBzZni5Y9jISmpORy7ZUVbzuItgS6Gmh/L4pkCC9rygyJCaD7y1K8tK22/KY9tP0AL7NbcBZpx0F0WwhTgr37WHvyLxV/OiN+LFuk2rZWNmVkh4viCDi/aYRvCCAV9rcfWutVQ3v90TJNI4lcpBPfjcEvwVi/wLqDgRj+FXP/RuPPr0vjPuhhXx03NF8NYy//zNx/B3n38At990FXrSSQqvxP/86y9IvTFvG/O5rz6EH7vjeiiKwPP7DuPTX/g25hbKsKmz8TbmJydmcd2V2844xysFCHv6K1X7edYbjxm453U34U/++6/ie5//GH7jl96P7VvX4//5+Gdwwz0fxn/63T+DRQ10ntV939A8dUCeW7FnZXghnpfPSIKvFauIlOgry8dEnwS1MC9D9lgBxyFbRnJ4Mc5PxmUx4+QsKVAcsAKeJx8JXMPj8zEOTzLd17teT8kSx3sC5ISJoWIdSRLMX2g2EIxuknli8hiiiYAnBgfEDcmc0Dvp1cJIx1/Nyp2z8jsD8F65ng2U9oddWU5KlBlNUhSVBytimUAysxVZs62nib9iWGCy3+NpqMNG1ckDNOkn0wtoknAB+vmxHvIBtTkHnnRYscmTDis6OaOx/i6wwtMgJSArPBkWOe+m18uo+uS3oR2nybhRgm/7ENOTEAtTMu9cnkqKEnX3IxJtNesuWC0cFgY0Unqp1iK+5ptLHyBBtYzgGZqgqbR7491QbrweIKWc1beDIKePOj2CU6eEfB2YJ71/+Kwit11hjGgynSBl3e9XfDzU9vF3jQD/uezjsMOtx1ihY0U8w7/O3DqBHrd8sJKeovIYoiEy547C8QA1Z0qYssaqrzJ5VOariQCttsAslRvslyDwqvktN/swiPnjSY8t1RkW5i73WUFXJKUb9xONuicv1izHWD2lNFoyw08nZBh5MeoiKp2X62MXwbvD1mKYiveG4cv1vc43GNSFKqz+zWjpOQSkWYr6EC/+8DkStBjE27NwP82kZ2FmgWZ2IynEXKgqYfRkkXjiIMyjUzDG56ENh1os33EhNJCSOhyjhHnJD2bY/YERiOER8Gt2tpdB7ZSK9pES1KkTMCb2Qm2V5XkVohEy0jeIaDsZq+SgUjQgmnWsZkFjFI/Aor7pkoBoZuIIeocRn+KbBlyjjtynv434HupTvJ9iYKFe/TqgUH3+GHyrDZWEPnnOc3haI7xGL0ENRrhuj0E+DauqQwypJeOqFdIwN9mHUzSuGJhTShwg6Omjtp+T8eY1oRAjEx3P6SzwqG5MQgYwLcPpWRnATa8LI+QvNnoQt8uI+zaEUOFlUlipwHcGqBMKYqQdwHEFFKuC6CdIyOXFDIfGca1NiyGKhoDoAy/wqJFS2aWyqzDhZmc7GZ+U/S71T54PonpXhq31VAkBmZkXFHWJIQ/C5iPohR1E4hDE6vBVHw7CNnp/SsEvpRXkFIEjboAGKdwSdM8FBcjPhs+n2evDDgJEi2F81v/Qo+Cnk4TEiRXuKp0qINi0EQfHbLpeh+jsiBrAswLKAc6152V/Z2sZRuY3Tzh8uY6F8/9WegYfXXji/KuiOSKybucPDLcCeghUOknPm4KLOlq+F5bTDFI0hv0eQsCyA6jU/pwpEmE7cXwtx4vqnLfL6OdgmevrKNz5Q3uFMVXO1dWFNFQ3HD/dyEb4mFFr8NPqzlk9znNelNM4zzIR/r+UUCFFt7wXEY4jGX8FvEBZXv9wwgQrXk+6/dDjTSjCR7NGBGqVcyc69iJNUjCtko0gnZPgpNWE0BWqKwbhekgKHRvbGoRN9ZrUP2nh1lczEnctzx4blFnGiQ6xlanVPfPwJITnQ58MJ3stRpMtoeqN0/w5Jdc89OoESsRTtmkM5npePaFvzQs6jwyeg/ieX+O+iB/L7sNojPhndQjVy98tFcvWFT+OnTf14yfuOIRbN7yEW7bshRhdAIjufqV5I1TFxBAJ03yqHXoee3p+BlaS5hx6/nWajvhAyQAAEABJREFUPxn+aroh9S6sU+8FK9fTysYzTh1X+jCg3IqN+/MY/cI+bLDvgo4kun+Bk4RdWkdKbh94/XGcuJfmmUKMZqZ+cHlejGFFKMsILDsMTJ+CkszDjjuY8L4Ca+o5GFMlDDzv4LIH0yT/uTBEC4EWEN8y1n0q9Bs9qCr9KJsxFLNtmWfEt8iQPVvJkH6qSXSSx1OHPnMGOS8WjpN+q0gpoEj8vIys4T1Jc1yZntvjNHS6UW683sdlW+leu4FdcdUO+Ys6yVc8F3PWaGdBfIyUfJxmy/FP1Pah7dfQFioO6r3g8cB53S517Bs4hRi+kd4BftP4/SmB+1I6XLMHX0xchoPzJ4ifqXYXOSN+9VWBhLGV+54XwrmheysZmbnCGxwI8KbjN0Cvx7Dgt8DXG6Gwkv1Pq/vwy/MP43dKT8vwoBXydhHOaiHP2yfdkC9cb6SwWAqvhZV/bGQWs+u0cKLBHrwOLinFua+Y86tbxNpE0ngrGR02XpN/HDop7eub3oBANZdOzXFWvjcveyukAp6V8ORGrv4QPrnhVjxgqOD7WmnB/8nqS3gwlac+qOJNlVmicW2qN0btf3baGZ3YSY/IqF49JcOV3qZYGnNJF4EIYOgNjMcG4LpAMWWgWU/SOAIK+QB8/VFZlu+YF3hB3YCTNM+3SPFsLuyXxm6Ms9a5YkYPZ8NyKlgpqzXa87AtakjCmKscQHmiRTHAy2fQumoTyoeAJev2pI6Cci1Y8T5Dw81tCZhHJmmshmWUegvprz4F7/mQL1GPzMu6lnmZcH5AqyzBzAfLyDk8vaJIDOaZ9W99Frqg/p7O4vFMeG+voa7X8mOEEyC5IYWyf5jiQFLQcwh8TPj3Q03MYd2YJuEzswESYgDUwmg3Y3BVAT7DiaoHtlMxZxUo7bBvovMTJCfEZ3bLVIsWh2WEPJ4PKECuc2scZ5fPsQ/wVq9h7Eyf5fVkEmg0ALZyf/oZIeM5KsuLYT7pi/g7LXLr3Hd8SH5glWtRWRdCz5/jyxzBlBrRNjMOrNu8LCtKOOHjBivMI9jFhkwjuOzsGnwJ57FjGSRIpNBUDUi5lq6T4T9yZ2+Bd775DuSz6TOQ/q//9Q+4+z2/hrd+4Nflh1P/Px9+D95/349JvI/+ygdQLNek3vie9/0HJBMxfPRXflrmaaQA+YtPfwWvfdev4No3/Bw++nt/if/4i+/FrqtePd6Lx5m8mB8Urzffg/fddzf+6c//K77417+Dn3vfW/DoUy9g5Zdmf1Cut/s6XKNPJnVnXIYX6kWKltRDe5F6eK/cJ8w4OQdh2bKqhOiXoeWHBJsTwqaZiiKBQbMQhRdzeL0ZWcw8MiVDZ/2ADM/lubmwnNaxBGb8BAk5LOg0SFnhDubA9G1dqY5jLVomGLucUSTR0ZHEWlbuJ12aUADck1hPPsAC+UqmQGaQRwv25AOVEzIAT0ocU+tndu316ziHiPuxMOyjlXgVNmaNkDGNU5Gq3UuZARJmBXZHacyMMgGhWlWsNun4ZgaNTW9kFLDCs1tx53dZuce/80kocxPwj50Cr9Qaf//H0L/6SbDCXBZexVNJ2a49/M8yx739rQh6O9KnhISeMj+NiXQeUGmi9B0cobZGhtqeLeEzNBP2UJwnrJvuRqS8tLOnJyRm3h54SMGXnwwtJnhRgpXYPBlu2hhg0waAFen/oxrQhByArUkTQiDaxuFjVR97ScnCISviGc6Kr0hh9XVSgIZXCrC1wpSyEzzxKcRgMVyssUeb0rF8F31ZeCQcVNV1GOx6BZQXUd5Cwg0z1NGe61wfO1aqzT6p4NgXFPmBn5knBIOR6uy/LhPn8LTFisRwcykZdnsmNTenrcWwXo53u45MAzPnd4MvOt79RkkqFWAhsUm2IfcPrtTq2wk3NQjuq/xs+bVSFoJrd/wCFkbuZBQYhSzpwzSo9aZMq8UKtM6mnC/Z1wDX3w63d4vMeyU8HifN0dvQ3HA7Fu/6T6i8/Tfh3PI2eAObYdVViMoiUp/9L9A/92dQjx0A/3xSmhulI/B9gVpRRZvNYFptOMV5KDQeGSdySmMBfquJVp3ucXgQelmBIPLINMHcu4fwbSSeOwTEs7KI6k3CFSqCwITwDTm+ZcY5PMVKSAwvHj57LyZIOI5BODlopGzh6xJem55FjxQa2Ho205pGQm3Bp3FqzFC/arsoeb2oLxjwbFkdKsFhnPC+jMXBRQnQS03CzyGpNdFjTaNEjDUrCdm6xE0OwOrdgYVaDAm3hJiq0zVoYJorC3d5fjYDhS5VNBWwVZVih/SVUfh6OZxoD6KnPgNDMRDoJvxMhu6FCnEmuZVMOLer0bWdjL1hkLDWPuyCD8+EfB6gn5sNyL+4g9vLjzfhaj4qXvgsE3SpW2nO+eWMIukT13wjPReFFgU0mi4DHRC38GwENGdwXr+rDAGmYzPogR8PYJOivYU4tugK7I51tGrSic9R2+a3+chtB3I7Lw0tYOG8RgssNjycdGvnOHuYLemE1YK0bh9Zh0YQtkWC5usQ48L9Egmr/BTjig/bpTFBiWRKk33MtzVZoUHPXEbW8Pj6WaGRpOvYbubOwOpV4xI2TveZ2yDA//Ii8UGNkoR3e7k8XQABeJxQcM6j0aVkXyyeE/1fJILwQlrgaT2v6P35IuwIildZOg8rXnkfd0eyrgHqtQ4hXMIII/HOXNteY64lDaNEzDcrCIjQ9VkG9ZMAlxk56NNESw0LvqHDU3sQiJjEXcs7/W2iRQhmjNZA5Dx9Nuw0KilbGE3v9N9qa4GT53T+xMNw4ePFwlas1vejCrT5MtQKaSUiwPcx3D8VQKGFti20COz1u/DiBVQLG7Hg7kG1/DVUlFk0ejfBvvxNWHfP3UhfU4VDCp2n3J0Y9waQo+cwkgj7whTN429NZ6GkN4BHrt2RZV7N29NJDtGRwrl+xv4DSE/bECdePAO1SP3SdxLIJ8oQMRuLA+H95cTOJdxANcFKz4BkDrbIHa0bNB8aCEgJkFvIYfsjIxh7IY+eExZG9+owHQ9pt46xqr1URxRpxq+UUVaOWaSMjraTYaBCfVzRPGrPgOgwMT8M7DjmDzm63p7jAHtpkV1G1vB4r37OYn6+Iwpx8qyOeR9G8EjROQGDo9iiCcSFjOLGWChbMt1nuW6aeDBiI/AAjcv5A5+Cvf9T0KUlLd3ZzPPQaxP4u/RVcOK9eG1MwagqKBR4I/E0gRbD35hb0ZjZE1a+hs/KNd4+hrNtak5W3q5bxz2OIau7sVHA9DXcc+JG9CpxOc/+YXm3VK6zkp2vPZq3OPyd8tNSec33tXqNAM/bnMfbpPG86zicAgwdONoYB78dE9eS8M0M2h0r9/jkEyHSCv/AQSGVk9ckH0Mh0wYbgLFBywq0VZN9ahwfzV8Pvg6+9v9j8Ql5f4x8f3McD7WncDw9gE1aBrHaJINh5zbJ8Hw8OxfKltzPV8Mf0BKYVzT4IkAsWcZ03wDG33obFgsabCtG9AVIx5f33QLNATFFxS5rDJ/o2YYZowJMHYCTCYX61PFvgo3dhGctO6VCfVDTdAS6Tcrl5rK8GVKyMyDKP3XqABpTgkHSdVu3Z8RWJMQwtDgp4ftrmEvm4LsCiecPS6V75mtPIThZg4UE2rQYFjRdaFPh/CArY4/gHHhaeB1aF//B8NUcK76FC0jjlKn94Lfc9aQPv6eAw/Fwzt40YxH9zSEQCvIbAlSDUOGewTZUcRR2UEXJP4DNW6mjkbxzeLoAbicPDVrgiKGpq0ifUvASDcRvzXryMhLjqgwjLybHZFv2MydDg4MyeHpkXotVT91yOWVhiRcrc2ptF+088MxzCnhBjOt67Z0+eEx0l/I7yndv+y4JZmt3GenyIpnR27TcmDBCYdmJxz/rNVbWH+FcSDjQH9KQAy8KcN1rlR3RKEdRcHjkMooA6sFnZfgjb3kLfOezf4g7X3P1EtCkh/TwF/8HGB4BOb7/u3+DyH3tU7+HD/7kvVBJ98U4o0N9YN3xg//0R+Cyf/WH/xG9+XCcXLl9E779mT/AI1/6H7j/07+P3Q/8JT7w7jdysVfNKa/amS7iRFs3juJXfu5d+O7nPgZ+XeAiqnhVizAz72ohQ6Fbq6/unu2C7I2DMlsnRp5XT5NPEpP3nWeR//S3Edt3HIYIO04bIcPEyGoxFLi99NkFCcZdy7E1I+ep9XAiWE3ByPkrXSScqKS4686LrBimLssRYdewbbYML3BxNNkjFUjK5DHwXlxZJWRIa8EJOET8ozpOOuE9scUbv2bO8LWs3BOkQNVSAPGmaNP85scCYmSJqNG8y5MVl43c5Zf7MsqEnQkkMz0pIbBgBhKeDAR8NQGS1tCTmoHnBmGdZgb8YwZCkCKNmZto0mE4O06zFQvH04e+jIjx5LT7+nfB37gDSoEuNJaAm10Pf4QYGDMO5dh+6KR45/Zg3CVXLYGV8UvK9hvvhnfNrUvZ3RGxMI1JtvKie2F4ud0AK8hZ6a783K9DJccTFluQ8PUzM8zXy7jsHifm7XODHr53hYsnbnRh3ubhbe/y8c63+7jtlgCPwQcr0ptBgHviAqzU+i9ZRcYTdE62Yvnzug8OcyTwvi8p8FuUf18yJC+HHD7Laaf2jqDh98AmpkuYKpQaKU/ofk9jQPYPWC0EuQKcRl1muUOktZKx0x4z01dfGYAuQwLZKuHQPyo48TWBxX2Qz081gPT6APwxUf6YoUQ8Dy8aW24hfP7dReK9YapFfS6MLfdZ4c+QxDD7L98FBjGN5ARxORnDxYnCbQio2u7FisqO96J8zc+itu1taA9eS8zoKFjQQ2dBg63ZlY5ygIpCY9rRNwh6ZNDKi5iKh8wM563leNw88ZSCmRmxFspZ4a3hG9Bcd5sUKkD936M+7bzzQ2jd+QEEiQwxtIFkKnlccEWCuCMWunzXR7PT1m7Ng9X0sdKqxZs+Cp20sYGrQPQPI8b7GnIljWkwTeUou8SBCaJDeaiKBddpIqBxL+yeZWOW8dZyWj3kIn2DOSnASwbUzgYEDBhluoaOZY+XCDvJzKxAhoQYZiaD0Y1gy0iH9CezjQGc/LqQC0Injx/AXHs3jbQ2yolZuPkMBD1r3YvJy+jzp2Q401EWV3b+lNwSqkH1xK0iTGhgRblbCOcIidzx7LEhCCUA6Z3oXoFIyc7ZfL0czto5JOyKrAekcIdOdJAyPNId8JYwFEWiiwnXaEFT2AECHgBBG9aWYUZZ07HA4Gb9pXyn53R8CXiekRYpONjC3VE9KhEH0yAiSxQHCgokffoP/QbemlBgvBQ+I/8yDwrdUowEN0aMxifHz+a26YBL2vpyLoCXCBCnwcLnsOthKbPAozCMr+WTfIuhW3wYqbUwLgz+rH16/uetVs5Zmuhot3V79NG6XiV+zqJnQyhS/+R8JaBGD6gdRCik1UiQNEGaDcpMZAT5ax/d28mshsVKAYbzNZu0oBIfAnwar+WTdD7O6FjGSmIAABAASURBVHJEHsHWUQwqhkOUo2s6tsSPMkvngR/h/ksKBY1dvp+goxDn+CvhmDfmekVAjBlHyEWK16pOg4zSjbpD/pkH83gMZf6OyDtHl7kgk5PppNVAoKjI+Ab+cmYMv5K9GlqJBmqsisDU4Gu0UCMx1/Z4nnUGChJBP8vHU7UuIxOlFvLNRiqkgU5jWpZfy1NooTh17BtoVY6izTzQ0PVroUp45qtPIPv5hxDbf1Kmv1/eIpHsSsmXb68MmU3svu51KOW+S+36J6TM2odm6xBq5QewMPNxzE1+DOWFL8C2xmEpPdDM8B5HkibyZvi8I/qRMwtIx2o0f7o4n3H7St//wZcUfOmfBZjXkeci+qkshPOvWMGncv7EJNE4on87xAxy7Ta2lffhsoW9GCh+FcnK1xBrPiPfyAkMA42xO7gI8lNHMdRzBwZH3ofkdT+J+jvfiNK770J7Vx79TRojvqD2EHCOfA89X3qUeIYJWY69ns62Mhxvxq5ANPdxOqXGkIxRn1cC1OsBg5acF+uV8VutsH8yX95ajiLz2eM3V5mf5zg7TnN4LhfxZB7xPi90hjPr+aJyb0isw5/3vxa/W3gNfjp9OW4zk2gSr/FcehMWRID50os4ceTzKD7zh6iOfwdfj2/C/sxWJFQNLHtE9fAWcLdme9GghYw/cvKolU5EWauGLPslkwA9AtxKc/GqSF3ASGGo1eJg5TTPlc9Yc2AFNcdZLv2j3tvxZ3QvfB9JoeOgU8RvLD6OT9VeAluzd1Uno9Gb2zuMPHjqtMMpEizDRPu3p9KhMtPq2wnPyMhtIllukxV0PC774ksC/eoEbuh9DgE983rH4KuDcs6gj5gSvq87YsPgxffouj9ZCxeUfqL3eijJgaV6WOZdSpwj4nSU4DotlqyGupHuS0l5sBaJGfOBhl1GaZE6i+6TzK0SJ9tGjBTK3WXXjYYd9YrqOtQzg3g43o+55gy05hzJOtdJVDZ2y+3+K6x8KyCmZ2V+q0nMsowBnu+gYc2T7GNg8+CdSGSSCEaOY/zguJQZWY5k63ZlcA5mUkdW2QodSWTU9VBiwMIVFdhVAY3mCFa2o9RCvZXEoQ1bcfQnjmP2hgVoR+fQ/QsydL8EYBrC/DBFwcp0DtdykVLeiTWhPvTP0EwPyOYQ0JjZS2OHy+1cNFGlhTdP03Bo/ii8wKFUP+JKH1p+eA1tzGFwXZ3uU8dkrRe10jwXRbnWg9wpFbkJRcoIJy1S2Nt0Xx1jJUYStIixmqFhZNmdC5uXUZcc82I81riPc39dylgRYaM5HpeMx1l33R7I8cDx1ZxLehCGS6X1ClqsHA3fBvFZt8JIK1ypKCSkQLy8jLxMj6+d+U2WwR78nrJmbbxIyJnjA2McQPmRwl22wyvp9fdmkV/FOl4IgVxPGuuG+6Fr6it5CavWvXYvWRX9+wNU1f8tLlM2jmeGg8qwD8v0hXjWpmEUf+pu1F63C42bdoD393UG8rIKY3weCit0EFK3dhASTMWmiQokhK6xhztlnfPwcullOGvtxbsMiRJeZ+VopWCSJCGCstEcycD0dIwuVOASQ/qC58PvrFCqTz0gJ7C02AAPDfBHPub9pzDrP4qd5hHcmxpHTH0Ud8RP4obYPKrBC5j3XqQJJLxvrj9yKVK6c7xyOOwnXopmcQJoJPhTsHQwY8P7+TGA9/PjcLNuoq6E+M22D1sdIrCAYdYR+HS9loBUWhI0OuprMDf8qhUzJvwqYPcHb4J1m+G85QNQ1w3B7x9B640/C+e+D8H6yV+C3zssFc5s8a7uflSeQjn4DPiDp6x09EmR7tz9LvA2ADJzFU+QMDBBeFAU/FRtH1SnjvsbbohJBAbsKBUp16y+04rrZ48Cf0HPpW0CBepqKimQHkn7+D+bPngfdnafpzgVlwwvM7ocjwuA4/8lq0g4K71eG1OksutmU2EUFChg6xa2kJELABIKDAwAvK2MRW2rpUOiF20f00FB9PEThfqm3Wyj7PUjnaWLjBBWhKwAO/FVBVMPK3LxhRdhClcAG+4NwB/4WXd3gOw24EKUXmpHOe2vMrbMjuV6M5Rdll0NXwsrBlTjws63rJJVEm4uI6F9fhVV0jwtqmHf4f4iM9bwVOofnKXksujem1ah+wv6hsH6DlYINzpWu4y70rHw+cyzCj7/RQWHiLTx66wMW4l3sWl7/XVwh7cC68agXrYBMOMIhAotHcgqi40MjUcFukYMek2D3bRJmdJ5VQUAM4VurQrVbgGehmBgI/QKdUA/gDqxH/xjeuolE/JVUKNGeQQ01EV4vkqxPmj1jjabUmc7RMcyzOeLIUSX6I1Pgp9wslAbc9BaCwQFeDsZJs/MkPU4U9C0AEGmDyopa1xq62JiFOaAA2fjblTUA2jNCzRpkaDZqKCd42uiajpC8og+RQngaNc3KLj9mVHNUd06KYVBtMxPxiVet+cN9kkSYLQDOI6QbRXl8/V61EaHm+vQ3zqFmEYNbMYgkJAoLinJm2PE5FPKnFWgdF41Neco3rLpmZTBc1TAHDbhnO2I6mGci1W487jixVU/1oCvCVT9DGKCa1zuroorSJYUCGpPuj24l4X0MEb0jTFbRfZXd3PPC8w8GVZ6k6Gg5ufQ4KQCJERCFgpsGUClMR7GXj2freuis51walF0zVDOK1YLbN3uj24iZUDYFklFW7PM+WTwR6AYr9CuAEIgmaIGAsB9UvHDPuOJcPwSeNWDX8/nDF5c53ClW6+nJGjcDe8zPRSeo9y1+CMROl7UDc9GyzqoKHZe6TfoGfI1F38Ile5qx+LcV3uiZnlFwkihr5DwHp1gJGHKaEUJQ7vtyPRqXiwfQi1abAtjXT5vEUbJhN1GoCloqSoKVRcqBClEFqEYBKeO4WtZwjr34XS+oWGMz6yJbJyaW8rjeZQTQaKfA5jMAMjYco8VZ6xoT+7+czRnn0eJiNk38+txFykbl2OeTnHdgnhnhiSfOiDffBX22u3EeK+U20+8jtIGNoppBJuPI1X/E8Rie6HTCTOJK6Fn70UscQUspQcBLeRY7UOUA/Tk7kXbVWV81IhhA8I5arEd0qG2mkXarCDwXTgWE1p8337ctHv2AhVSps10Hr/SedOSL0pQH+Ow2y0WAcW3sSk7iULJQdFPYtqJ41h7Dqdq+7BY/Dbac38NtfIdsCI1Mszpf/EhmJYnq+L5U/KZPS3Ym+qoUBtWzCzmx+pgWS/1yAvSkpaR00Y/yiIcr0Z8C7p/tpqh/u5BgOb6ttedBS+Wlek+v4ntMQXMl++xfQlb6UUfO43gvJ1kFD9bKKhPc74f68GhDp+0leZphkUuQcrp9Voab0qM4ecyG7DepMGdvwaLV30Q5XW3YybZC/6Q8CmSY/48vR1tPQ424mGZI6qDw3emDQwmerCgxvF3FYtBazqW/d70hgD8RizH10TsZDAOK9N4XvAXEvi13DV4e3ITPpq7AR/rux0/n7kCfXReRuf7+KO+23BfcjMn8fXmSfxBaY+Md3sHbeooBBgj4aTYoWPJJMBvb3tWmRTNCmKdRTtCW1Ik89YpnI4cKzoDurBb09+AaQTg/uSbmSj7vEN+Dj/fc8Wy6+bCfB+7zH5YvTs5KZ2d3yLD8/H4WtxEn0RlmicjK7xsQUOzzTy+DzNZwuSxBmxXhxA+4nodRiy/rES0AFKiOfq3h67HlxPrMe+2JR1tDVwLfpuXZW/htcHW7pmDn13aIjJB44grs/V5DqRbqJEQQ7FEnHQUShYDmcthpGjMjO7DqYfbWLJuzwTIiK1S90LoSIuNMAhWHXBR9zIQlRbJ7y3MNQdxcPBGeK99DkHcJP7dgjgRPm8uxy4wYhwAVgv81i0ntLrCwZpOr3TyDz9B5ylBSekIMllM5DaCF3+SNMZ6501Z3jIFmsphlMsCObETPmz6l2Uee6xjGRjWOYpDRywZlqaz6DmlQCE2LU5ZgR7gqQUfKmUbi+G5V7Nu58Kzc4ID8FvrMrLCy4XkBpGie0X2UvLGXYGM77o2wEpLeZnR7dHiur9ph4RIpbuMkWfRc1icpggQ5ctEl1eq+mg2AizMO9j9XEu6fU9a2PPC6YWYLvTzirI1Po9htvRn+Xi1Qnk1bKf5oc3wSU/DBoZnGFiuVvBHsH9xLRCOqB/g2/rf7dJsg5RGdNGqNU7+hR+BqcNe34/2jvVo3Hg5aneHq7f67KKszBQhFbNQlhaQzHwzs8YOF/nz0vGlkm6eFFsGUd4lyNoRt5CWmVqpKsPIGyNmiuMn4g7SvX3QXQejxTqO10kw37Q1JDqrWLnXghPEBE4gqdbRo3gIRBOm0sC1poWtRhkHnMcwHTxICpDjXP2Sy4ZNjkaok4Jd8GUeK4hkpMu7ums/P1ZYZRQf80aI77eAJvpAajGk0gvwXJqyagG8LmbmXMxNpIxna/huZkOxqmBmIFBj8KP6aPJw3vtL8PjDIHSNbM3O1u76A/8kJ1d+fYoV8/720DqIUFY9irUaMaUGCn4brw2q6PVaKNktRB8sigpF28m46XUSdKgK/N80ATWJadtRAP6gT8EvpRWwkpyt2b/eCsCOkdm6hBXsHO92zAQz/PdyCu5LCLCSvTv/ppAXwNeobSP4wGCASW8zLJIbtVxMgtUDz4EVQ/pXPwH9b36P4o9IuJYzYdOK+7w/inWrvAbKsu3UQ0JaCTdJQCJeFoM3B9j2Ez4GbvIRWcfJyi7Ak4IuSV9eKoHVxpaRFrI2hxSnMtLlWR1mmuWILvDLjnq9GVlHvE4PjmJHem4nH1DP8SGW1mxZ4mlDw9AWaQzKFKAVqR4zBZ2YLI0Y1cVSJ2NFwPvr8b7+B14EMq1pvObkXyA+dwR79ooVmC8v2Rq5GbxopK0rwPrQb8L+xd+B0ZyUlVpWSKNMM4DvaDDcFty5CZnHnlE8gnZbwGu6SCQAXdsK4QKiOgPRboKVwkxP2zs3gH+mRx2eIpo3CTvgPthDY+60EoWy1jy0akPmecT8ciTQAD9GdZDSWy+XpdKd4R4pYFg44njBDZlBo6nCLbmo6gUowxa0e+5H7IaXEEtrSM/cgqDYD4v6VHXE5GIwOh+jHBQhcZvtusSIke0JSlA9HQEpyyOaLAt3PLeX7k1RoViE47tQGgsyR3gW9NoEWm0XRS+HbFCDEZgIdAMweyQOCwb81lC3lTu3KzPjggaw787BPsd2MrIi8rie2g4SVEj5zW1GoAs+OvI87FSFBAoBy01j65yG+ElVPm90/cznNfhBgErBAzpTWnp9iFA7IcLICr9dBBaeEyjuE+BzsXVeWtFBs5HEHCANO8PZMYCSHLxq7qBVkhZp0QkjRXSUPiO0WtD2hAu50aJtZBUfKQzOKHOegKmmBWpeaIL6C0X0GA0EKssLTIEV9t9YbvV2JjSwFSBbBSaFDt7TlmErXYLyOJ+t8Bg/NxbWV5kFRNDGyl8hH0LWomVhbujbdhgmSenBsfNR0jPevxRkmrRsAAAQAElEQVSneBV5K54ajnWZeIW9E+MCDz+qyLPkidfliDCJUFOkUQtDip5xxNZYKLPrwMxLOTSdPuRbNJ8JBQumAeE4YN5Y4zkuXkegqfDUzBn1rgZwBztzw/QaEyIVUhfCtqMoooX5mB52pGprnsFLjnk//bmPo7X/E5icfgIvOiV8IZHC/z12LRb7rwT38SXkFRGNFmcZFPHl5pFJZL7+FJg/Yfir6eQHU2n+2NX/NNqjDSToMRrW1YjVfxHx/L3Ip65ET/7NGBv+MHoHP4x09m7o+bejJz6Go7WmvNTLT6ax42AKWZqvplvh+C0QTxyYAUBDu1EnWo3v348VoRFdYEt3vhJlsmthv0oTBAM7jlhE8Jwc88vojZXRMH3UgzT+Nv5B/E3sJ/BV/S48ql6BaT+Gufo+aLVH0Rp5DVxSSKp2Fbk9f4ns7r9Cz75PIXXsGzBKxxCoNmpqAvXkZbCHczhxYwOeFiD10AvyrAVq9+n0PXhQux1DpHiUwI6XoLZMxhtShmnU/A40DALNkBGtPovbk1QJpbr5ckouHd8LHw3YiIaBK2UJhq3m2OKY4Qf1XuLxA+rbAlt1erAMXMXxvfBHBS16/BPKOnhDb0D/Vb8I+/pfxqdG3oRDsSxOOhPoUWigr1L+g71ZxBQNh4n3KjeWP5uV6MkEtWE4RFdmrZrm701xxjTNNeu1NN6d2oLtRo5BZzgew+9MbQZbvfcqcfC89rn60WV4B+2Qnmw38iiVw6zBgQDPWvMYthrUVhrYqj3MAexcqMBnWZJpSASfP3wKN5j3ozdekf2oPXhtlHVRIV83W+lz4e16HpzmuDy/EHBTQwjUcD5n+Pk4WZYQuxcL+B6Muf1Qjj+GPmKcFui5BdQ1kj0LmJ0NoCQsKhGgx1yEamYpfvowdCBHTc9j02wksL29E4+ag5h2mtAmHoWTGUV1+7tR38j72MckX5ulMRWbeR4Jo1dW1LbLMmTebb56RMYHUjtlyN9vKGTXQ8020O7fDzt9AsrgHAwjgayyVeKwFxOkz9ASEm9iqwFioTHhbMSRzHXwd74Io68OP66hnbMRkKyl1FtcTLqgb1iG/LZMQOOZE+Ic5E5pA4Ju2iuGRkNqfzhX70lRYwC4qq5jsaxRDBD5OoRmozTTj8njfbD8cI4yELZlM5jHpk0C/Dt6XODwns2o1xMgYoFEX4Cd1Bc5b9zxOSCeWoOgG4zP7JZpplsy0vF4XHB0sJ/9M10hH8KOnCafIWCFz3L9T/2kj507iAisyFst6V19mwQrXZbivK0urBbYqISNtSTCCu/gowHaMwLuARXzX9Glm/6GirkvmDj2or0C+/ySqSTwxh/zYRBpZfl49yoy8ahKfVcR4AXOU2M7ZMXKi8/K8EfeD1cLKD9ct/vK361jrkOgxKC5s4gEmpdz1oBmGpeU4FyHPl1EDOHKcTuYI0IcCig+4XD+xTq2rODzcHl3qMDBebmonCCus3ti2aCnZXlWBugjfdQOCrbMlFAlpc9hnRTOkZX7nkegI4kBcQuyYicKyrWoejvw3cYwjtrXYJ36Zoyob8CVxl3Y3erF85ZByjEfxeAAHDQQ/RJDAbQUwMoSFsCcnpBwG7RCq5ASLsLjkAlkZOX+4osKNmomGjSZB6Qw8JsBjFQWICZD19vwqRq7LuCbGQkLiJltD16Hs/0Yl5XyjJM89g0OpItetXTSIzLd7bm3vwXOOz4EP50DT8Yw43Bvfyvcu98N3hamG/eMuNXCEZsmSCVAuurgnw69Dm+pvUgr1BU8yfBOAVb+C1KqshUAMyePkfzz25MBbDXA3QWB/zogEKe5mJnjX86cVrxz8Z9KKGClOscv1LG1e04JJ5uIac9ngUpsC9puDF5ch6Br4L3peMFBOXaAFJ8lcBv4l18LXycFKz2birkF/OxWnn/qewrKh+nCKaOXVsg3vNlHfic9OEq/nEOfXpTFvXzYl2Wiy+M+N5MA9tK12fWuDIo2aVKnAPFe9i+d81Kh0rlXb8IwgBljExxHQAqEVWoznPmjoQl1cQb0CICxjVB5GxlCi8a7qqSgU12Z9hTKK6qoN4BHHxd47AkFDYqPNA7gx5sfx+Xxw7hq8nPgrZlmOvdKVb7sw8mEC0E6KYEVXqDybXCcK64GIbOqJuMwNIGgYaFds8D9mvO9ygLg2fBbCtCTg1EjTogWzFAKrexa14ZMc3vnenjJBLVHDGY7DdctIiDtr0KMtFKb46rO6RQ37F9UbAnXTQkEqkEMagI6XT9nsFA927ECKXhTDIJW8uGSQr3M3wW4+UFS5DagawlszP0YNt44jJTZh8ADFmLkUQlVZMgHMpWjyCVaMh599JmfDwMKNl03SS5+KgWmyQzrdgHND24+C8VXYbQBt6PoiNruWKMA3W4jbVgQigEoChQvCf6pC7RQ4PuIrNPNWQUG0VVhUxs05gFSelrn2E6G64mcTYuhVr8fJS845MWsQHPgxNtoBwaClo4k3VNiXEX+cQOpQxp0fh32BOCRfMUk0N7gIvqZHcWdtYZsXu1SxDudcX2NIbDoDlA/EcgrSe5msjotJYNX1TvghBfOgjGfmK3jOFzLqfzWFM0R/vAm+KObJFrDd2SYIIFXRi7Sa3ueLJmo2jRlCuRyOqI+qcOWeanOG0wyscJ7iBbvGLTdyCEhdI6u6qIF/JP0QJLDguVDLE6PQLOp/60oEe2ruZKWrUCTSaZpHIleV4/GKsN+GJwILHmbgYjJ8JX0fK2HaK3A0ZcqOE5jk2nYlnRCnpIt3Ima0ML66XEqM7q8BC3Sc7L7jTKed/mttoVjOSy0r4BwHQQdC3dWgmsdZTXSRDdpAvSVHq7inM4Zyss5Qm00oRarZ+Azv6vPhuOQaSun2QXJfmhQkG2X5WISF2yPfxezT/8/ONGcwIvCx/09/fjYxltwbP1teGvfjfj5nlDhw7irOaXRkmCX+PLyj98qr4sXEbJfehQsD8jMV8Fr0QOanvaRRAtDsXkEpJyKDf88RP3NUJpntqtKzzuR2oV84jJ5dSXbkeE6mIipCvpdA03PR5ucpWaQjBGDIQJ8Pz6cKi+s4x093olQUCJ+qFgGxFw4d4N/Vpv9JRctqPcbMzBjVTQ1AxXRg4/kh/CLhfV4be+NGCzci2cT94B6Jxarj0CzxlHb+jZEylXVrkBrzoMVq4J4dFdrwyXa7Bt3QwW1eEHFzJYq2Ogqeua30crxWwdukTz70sVQhHl4JaVRDNSWIQ2WCfI8kxhvoUB4LdxJ/MVKvpxQ5MHbx7DBDSvCbzSFhE15Mjinp9J9MNJXRC8HdB4ZnNUbDS8XD7Z98NaUv19R8PFWAbPp65GhxdwejIO3PHmoFRpfRJXx3LffmkRdrcGlWeHrzbXpR1TmQsJoLmFadb7l+tQ4Ppy5QqLzNqh8jZzgkBeNkzTPMc7sLEMBPgdvqzZMxCyl6PBoISbMAXySO63eUEGXPPlduSDT8/xfYUftnzCqH5GGJc2xuyL0lxWylf5f9r9Obp8TVcTnL+94H2pb3hqBzjuMjLq06kR43aT85sWlxLFvQjnxCLaVJ7EgNPCHU3W9CoeYXtfRoQQBCnHiyYmWrjxZPkdEiIBFGpdvMzfjyeAatL0A5ZlnwPICZYHfICld80FEcnpy/LvIzu/jLLSInnOkWl0g2d6GbupEd0J9CuiXVXYimdcgNhxHcNlumJkAebEDCgzKPX0wTIvTeTc18HTmHpzQtwODUzCuPiRx40YWniD6lrSIRodypCxtdOZZoiG0/iZBK/UTEtjl6TQWRGkOvrcI/4rroWaI51VjeEHTJNaVJPY0PQOeoiJWKEtY6eRO7HlBwVx9UqbjSj9i6IdHOpNU4RDSRpPawsCh57fAU4lOjPhU1se6zQGSSRD9CjDRBNR2gJ69+4hetOGkR+FkRmV97DE5Z/poGEC+EDDoDMfbODGQ5cQ6kXeOr+U0uo618lbCmY+VupJaCcrBZ2S2cvyADIP+YRmu9Ko1kqlmVAjKGM066Mu60l09qOLOkTjUl3TKubiD9RL8EWYuvfcFgS8dWcC4QydkQMdt61T/0pW3SohKeg5Y4dwuAT/yfihaQPmhuMtX+SZdNVzyY8bqUpw6UvqppRoMJSerbAdlqLVwwPrJuIS9HC9S5rEl6IXU4+ZChZAWCTdUOBKeG74LdSsRe0/HaKkOlzTYT9dr8EjhLgkmEx1SFCaVUeRpsusRW1H0ejDvxUn5noVOzKaJLOVtwpC2Hd9qXYuvtobQCpqY9UKrPXR+KVK6c7R2UoAtKSOlu15hEss5p92WTWH85CkgJQROxplRE6R0UqDHTLikSVN1B7qowu0oXSo73ovKzp9EcB4r/bwSzMy0alcRn3wc/NM7Sjino1RkWLfjScS570Nwb7xbbjXjXRMS5m6c1eKCJp2JTA4+TfX5uoIZexTJGReC2v4pmuUWvEAWMxf2y9ChSfM71G3+aNxH0w/wZlKm/8LgmW0UKd7/R17Fa2Jn5svKztO7t9M9uxcA2LJj1h2F7elQC2n4vcOyXzh3vwv2e39JWjh7d5CQUmNmLIbY8OgZZ2tMCTRnANUAtvyEj/7rAhipM9AuCqB0LBP8jlJgtUo+f62LL231sP8hBaTrXUKxa502z128YnGpsq6IlwuV/3HiHi6/LEDLyGK/cr3EkBO4jC337GobcVLSqRogYimwsA762WMhjWKaogyETIrovJJH3Qb8ehxvH8PMEjNht8cfxr3W3yAmWtCSMfTHisg3joG3lrEdqvASHH6XgMFbMkVvZDCz11xoyjMo198KwwA8UvJZNj372bBfe1PHYJAgGRAHqaY2Q68KqMUyKa/LaO/cCFaioPNr3rQdgWGSwj0F3ZmFT+M98E2IZpWYS6uDtXogPAtqywOESkyohujnpQIEWgzCDelzQEwx3w+/bh63y0iqLWp/6uc0NmnYoXRlA2q2DmpJDKt3QUcS/BvYEgqqxXIFjWQBUBSoIsNZGFamZBhZjLDgwYCsGzJ3Xl+ek8ucYgkYCwrcQapXAFobcpFGJcFYr00Q3XAw0VqHnvYckjpxhVocXipBgo8OpdFG7Lk9SD+4W9LUyMqdldrC9RD4ZfB8EZBCf9lJX8EEyaUQsSYpJDzUvBRMX8WYK2CTIp9Pa9KCQOYFDd5uEVofkZiR3sA5oWP6wIpyHq/tYgjr9kv7qZE6AKcWxu8k+ves9Rp8p/kWDJBQ7HbgGvXDDuqrFkRWcu9MbpbnPNtH2pQDzyD6uFRk3c6F5kmpwyEL/xxejGuToowVZgEJembbl1XosbBBdMWC7+pgKugp7MvsMzxWNDBwl9nHwZouqWgyT1q49ypAOoBLz70+HvZ7mdnxmDZwtCb3AOLY6q7eCOHJJFAIhyx4rIbQHw5fJdrHd+rp4VzA8VfMKTHU6HHpakhfI+u4kbiJsp9EPN6UPEv0XFZeR4zIF8Nai+GYrBGfd/wLSsif8SSJ3gAAEABJREFUEY10qI4C0W8oAg2a7ARNStpMqOwIMh4XhXsB9+l2tpXRZ0qybLendXhdpn1uLqTNDAtUE4YWl6gvzjyFx/b9BRbHH4BNNGh333Y8uuPtuGrbT+L3R+7Fr2avwR3xEbDyTRZYw9MWKzKH+XOfFtwrb78F9tgA+P4y9z+JiE+RSC/TK5YESN+1ai0TbgBnHojRIk2uQBFSpPtqz6q4K4FFywHTigLRzqSryuz+gOYaik0029C0LGL8/Hk24oVcgn8/DuoyODUhIGiOXxc7KS/hxd0WlA5fJAHVsgwib5YW1IXnYCQ5BU9roUl9wDe3SkV4XABs3cgf374juw37zNtAOiy0y18HtADla34WxV0fQenqnwVvicHWuc3RmzEd74FFnEGfkQXzBqBFpNntFmxSkicffkGeWqO6k+RkYoXnawWYmk3KJRd8T1E28yOBashxhtosbjbDnG6+nCFPdp7BVUZ4/QkhwAr4xZDMM8qaTrVqaAoDB/UCuFxkIb9mAcp4T1LBO0kOuckUYCU/l+PzqXR/v5DJ4K3JQcIC/rS6H7w/Oivef6f4DH5l4WEJW1RnYfk+9jVaKHrncZGytnN7A51Fvtk5LGvHc5XkDyDztiyMx9fJ89ZBO2Q2eHGZ4TPUbzjMDLgYd2vIO23kFBNucvlc2Bx5DaPBKB+VCzLtUhUNvwenUnehcu0HlylBJeLL8GJCO6O0R9fjGzRJnpFzdoBDcmYkA/NCEi8oBWoMbiY0ONtan8MC8Q6B8GnsV2Ck67CsOPGdAUzqu9xXV55hrCMC8mIFK3O3T9+AbymXoUQ0yTny5SX0gMZgY+xONMbukrDc9AGoQRueWZJGeUUvlBl6U1tkfuTpxIPntJ2I9wWID1vQjQTY8h0rfjGlH3qS+JreObhqC2wAot70BBQa0zllJ5J6H1xDQzvjQD11ev4IYrGwJlK4eyaVp5RK/DkFqx5KW0C4QOA2EPhVKOvDceAmevGMW5Vldp7yUBcxtBUNsZ46YqaOwVyPNJDa90J4vkQwgrRYD/4txkrYUFgg3iyA7yqwqf+VxzzEPSBlzuHqkQmozUUcWpgkGWoc5kyWi4F1GjLS8fhNII7mKHst9j9F3SYybrzUb0N7N72eTw/1yW/LUEwck6G/cYcMuz1+Q/trXxVwiCImEgFu/AUD1/xSTLqtlxkwidCsL5nQJpXuYsvi8ZMqCg8bMEiWWpbRSbCV/lVXBmj5Hh5+DPjyYiirdbJxlS5kdLeZhc97zFstKMfCfigzfuT9ULTA2j3sh+L2X5mbtOLhCrfukEb3EpzCHgsJrXFiFiayUGDAQwNefQH889MhYeX4+bpgBWfd2rUN7W3riJlfPuGfqz6nI5ioxVAwYPzufVfd4Tw0P4W+SgOpto1jbWJgTRVBx9ouUghwOXYn3XAiGWOtCAM67gZzG4SXxf7yAA7YBupBBUX/NMHKhgasqBwSsoQ14MnQnA0ZfJnoeAMDAQb6ISel4FQMDZooiRaj2fKgGD3wifFQdBeGqMCuhfW5yQF4sVynhnMH/HobY/GHXBSrCq06ycmzM0ikOJeKEQol8nl4ysRxTKbyCIQCYaVkiYnqVbimeAqK3cCX6x6Ea8lXVZkR/qSxA392yofnAbtqKt7fYWJkwfPwlKaFxNMvYjXLr7WKb9UVmfWkFSBi2tmyY8rbDKk0veoyOKRkZ4t+f/v1CHqHJb5ROgrbAlgxPzoSSFi3N/98+GxyOwMY4a13Z7+sOFvIcQVubvWK2QroXXUD/2k6Dv641NT3wmvhMs3pMJ4Ib4NBl8S5tDDBFWnEdG/pWCMcTexCsymg7A634MGKX6XD8Gm5LJTOIgIrVN1Cj8RkS369E2/PlnDwRYFvfEsBvx7HCMwwvTnzTVw++c+clAtCvCiUJgXzhtqzcgzt3Rs+X4nwMr1W5w0SrTpBffaIrM3ObYFFCwecULI5KINDxITq0EnB7s9PSOsWu1qF4tgQgQqFFBmiZQOtCbAyuHlNqJzk8ux4yy5rB626BQJmjcqxEBr0IXAcaGy1zUhrOB5LVCl4vAVMNzp4zED7qglBih8GeWaaA/nqcKFxFKYBaFYSXtlF3ShAbA1NnHJiJ3QQZ4rwl9D6wDqbIF3CYi0ugaoSKtLXi2MyPTMb9i9WkMTtMkyFaJyqw+sNn6lEIo+Z9cweHemDGoJMLwQVU1sCLJMqRBO06ik0LQvT7hByaECHBqFrdKFxohlUAdEPwIUxPov484fRJMacoPJQWhYx7HPoXsiQGa+w59YFuG081UfNi5MgJaBngNoOF6UbHLRHfBKAAKcJ1GmxUdvsywW57stKdRZnG51xGuXxAh4r4qO0XQ9jBQW4jNsFBkY1QXNCIDNihTCUiVfBk4I7LZ4lhY71RPD4NXc+7Um3xsEyx8p2/dv/JGE8XnlBVybIawUu+UCvGpfhxXisRJMshKIgW2vIKrIFHQ16Prpq0aJOWHcyQ51O5i73onth6PUxmow5soYb08KxdMIJ7zPVTw+EcGszZypXlvZ6PS3nEuaZB18nQ1M09JbKlBnyw+MUUlTIu1ViMnglPcczwC/WGGpbnma2Q8Nypk7KRROxWAMBc7UrPvQokcmLEQkkMi0V7LNPKjj1gACP1fT6cAzaIo+8RQPWdTGfCPueeZiEXpUYHRMI6B59dTl9pGrXPJxBOiHlGsRzU7DsiPZvZ9oXmEQvKVfY4ZgyUuGk33P8W1hfPgHNzCG39T68+bL3gfd9jhRuVOS8DrUY9nm/Y1QTGDpqr78O1pYRWT5BdFlGXqY3MQl85WsCj1PbrlbVPtKxi1aAIWMOIm0hHhuTaB61LUcUUg5xuJqbJJ6R4aPG6X7WF4QFW66POJOIhEvPH2hWLEY9b8cLNP/4TwqepwXW8y60BiIrkWwbWK/sxxv6vw6FJoCZCboeUo746ZwspdRCxalMkHeSRDzFbWIkvYByTCUI4Mc7wohMhR7PIdcUbsWctg6LThnO4udlRqCa8M2MlAusvp1o5ApoanHYxAdwu+jEG6TFBnjpOGa2VqE2mss+oIpVftzXUybJY4EHbp9uFF8jgseAZgk3mSEd7ebL6RHjBWoDRmFlufAdjIS3hUladGH4Wo7lHEGLud9IbgOI2biSeB6+B5zjR2i4KybwflK8/6ceBbw95e/nVPx2VgW/Wfv+9GWItjz5evMk/rS6H7xlC1fLb3oVNB2O2kTdd3G01WDwJXE01MByIldWKgoOztvxtiy8tcyC38Inay+RUr0uy/J2MsUywP3MoBtf1GswqJ/liIwp9Ny5P0jEjsd9w+q9Ap6RAVu7f7P10/hq82chNlwj+00H7QcyaI3cBLtnI5ojN8sFpeKuX0Br/WvltW6226j2tGBX0xDESGTWT6FRS0L4AYazVaxsBy6UTFMjUWSRFgZ53h5LxdCo3Cr52WL5MLj/UfbSwVvt8EJWoMaQogZXaGGsVJpEs16BQo+zkDxznPYIXizrIz1AgH5x41Jd3RG9MyZZ6e5v2g9x0yPQczYtkfVDlgfJEsTwt/rbEONFRL+gI9fyW+weK+wpQ2mTt8ahNegiaSHJpT7PKDrCvn043Y/obYlN4xZqpBXyki70WBs9sSyuvVpDkuqfOFHA1LFBkg965MKBStdto4ydmw8jGa8j17sI9Nq0MFbDFvNbGFz4FLa3vwLVreNYowYrcABkYeXvgZNZriiYmBTgXyHP/tru6hVb+K6NeWE5PukJmCYrtRLU3Y+C2xRmHN18bo14iegN7QqN3yzJMreP7Udf+ePomf848sf/AXH3BD3rsF3F0ypikx1i17kchea17FMGEuOqhJhzIc2UiRXeNXSv60Z9DJ7qxfwXh2mRktsvRNraUbizrqB++S4JVM+xFaxE+pH3L6oF1u49/6Ju89W9Gc8YkCe8VBbu3Yo2rthAFvzzatMcICDiLiPn6c34j+Ck/2UE9I+K2KN9aNxKCwXEKEWw8wm9fI9E0zqCAScSQkeSHE8KruZAXTcC1QNGinXM0eQ33apJxR3oJz98UT0tHR+wwvh61qJQfnQ82vIxRtpXzVHw7OJGTLgeFv0DtKJIkgAhJUiJwjr6dpGYmTq5go9AA/SKABNNrPht3uRLyPR+DXOGB16A8GnyE3R9lpeQebregtsO8STgAjxmlJjR4CIZ/oCLXSEmIgav65VBznu5TixMYTKTgw+BQk1g86YAZWUUd8++hKDdwqG2g3ZtDgukiPz1/JvwmcU0BE0it9FK7S/RiiwzlRdyDfF9x8GOX2mO7T95XkULCoi5FxL36/QcOTJIa0hz3hgxngJ6bQLCI8GGM7qcVjwqFfLz3ihWvrZWPkTC2QzAz7xwRdBV6tJEtY5lmzNUWLXC3S1gR1VBTg3Q7BGojQuwIoB4Z3g2pJKPdGKrlr1YIAvb7ITtIK07uPpKH8XkJsxZeTDjoXRW+bvrj6yz1A2boC1WZZY7mIOXS8s4K+H93mHoOpCxpvH0swK81QILGve93ccdyrfQs/8BicvbHPGCkNf5aM3VyjOI22Wwcv5SbS3D48OlMcJvh3C/4BPXenYgRrSOmWRBHSfoY4W7CsWxYFVq0Gb2wyPlql+3YRgBdG0IKi3wBX4DzWu2gtuM6+l2zV2XQQiVrl/Apb4XBAoUN7dqP+wupzXnCSeBQNFRVPZh3PsK0Q4PzECzkCCoDsZ3M+uksEt8PnLOFBSF+qidA8nAqA0moWbrUGAgrvQx+jLXk+2V6YWMAt8VULUM+DfkHgVb5PLzKZYBfqUz056ETv9AN+GuWBxKjGtQLS5JjpSagq5Bb2ggnRS02imozTlUWwaKXg6breNQfRWBZhKtTkD+nJoM2EvsPgJtdgaRlTuqcyACA2vrckaccV9JZ9do1tJsOKqPqpciUUNFJuvLU/KbTY1NLhautnGi7OGE5SG1yncfEh3Ltea0LLbkFcO3UiVNYaBbFxxI9+G0gv8zp0jlkOeEcNUMQ4nwCnmsAPnNso9PNXxEW7CwAprn2D41Dv4teESMONJxK5XtPGY7WTKIFNcJ6v8ScBHeouUAfPumAbdhgn86xVnIEY7OScSzjCCjZ3iRdTsrTPhezkDoAmzQQ1rFloAMzm8I6y2eNDi5zPF8xnu9MpDHCIerOb5Ohqdo4ZCFd1Z+8FhdqaBiHHbz8yA6F56X0/8SnOqF84GnhvTllbynl46FNGXDaEiQSkS/+Hy8rUzZT0BRbSgigN1yGLyqM/MheHFfGPZeG2D4DqKrlLSVHPl0uA58NXxOKiknhd6CT53CU3oo8/yPaN7XZ0kpsaKY1tluzh0swO1sORcZnOjJIYndS4NjKLMJQ1f9HBIDZ9+GUBZYw1ta+O8stkdozWu3wksmwHu669PFCHzR4UniX7jwNPFUHK50x0nRoPoutqWOw6FxHujhvNW96LyyTJQuEr/Ccd5GhkN2fUE4dqd4FYYAsXjYPyzbo0zjOUMAABAASURBVNT5H0eOCtCaMY6dEOic5vwLr8Dk7WQU4gVG0rPImA2MGUdAeiccdrYh2LzzNLYV0lumFY0GYAY1UrjPoB6jayG1W9pYfQGR+WA3cy/KogcL9hzNwcvf0gX9nM6YzJihDEkgZJXw3PPbPNgxjxa/jzJ4TRfQgr6pWTQ/23BWWNC6yd6wXGUKfD1sVc6AvR2rdla+N0kBuoUWlhO+hdwz/wtbZp5kFJzrw6nMGzWFgfuTl0v8mwwhw4vx4lQ0q5wuyVuefDR7g5Qrec74+cxO/FHv7fho/nq8M7UJrtYgdVqA+4kfPF3q5cfYOItrOTVBF8SRC3B8bUmSgx9qTYEXCrjoejWN2ZmwrnWjAZ6lfjBEC4UphfiyROfZMGKXq2/6MfDbEDMDb8TJch/xuMBYuN7VhfWDF7X6rkDtsrejNfKaJYWtlyRldCyDlNNEOj4Pp5aBIBIeK1RhWyaEDyRT4Xy/8o7yWch75zHHY28Lybq52mbs9jfCJsbaLr64rAgnnMwoyle8DzEjTkkfpeozgG4hne6DQvw3Ac84hpQ7MKy8flXePEJOi40waAHA3DYBc/OcrKtPvUFmqyIJYapo5VxgsQ21e1syUgozUtDh2VbTTXA+O72iAKRwD4i++Ok8jNIxBmNvsiDDG9sJeHUfiyJFNNlHIlNHjz4M5md2XtWUOCf370SzEdLahAhpdq3XwWtf/1VkUzNoCwum2kSfW4VI9SA2MIi+IRN1cxT7UiNwU0NQq1fKurq9xWKYWs0QLswJ/VQSYJ0Ep5hWc3ipXGTlzlvRcp3+yEYOpHvpcIAvfw2I3tDelPQwCgcDeZJ7vArJOBVolbA9rORxHKOFXub3k8dUxE+qsg6T35bdq0O1AJfkylrDg3wmMvdMr7TgQdntIe4LpIopPLPnNE5cAExTGfLSuu0cQG4FK2M/8n5YWoBG9A/Lrb569+lp/fCUHqg+DWyXFBMv89R+Ki6Za0EcJRPvWIdwzudOYXz7Ak6NHMaU913pGsH4Wc/mw6aVtylS0JKyKlg4K+75ZLodQUDtvGYblWGlAMdPOnW4Q3nEPB1XTiyC9GIYnyNtaYaUftt3McrSa+9s9cYWAQzsU2McSMfWxMerC0h6bfzM4v2kMPbxUmUQMyRczQVPERklrpcwU6R0pwC1kwKsbLcLNHsTgJXuFCw7tmymiZ0mg1Q7Dn9OA4RAj6fB1m1U7bxcikgkimiVcdE/ZjTYMoGVh1yJuwZDxXkX6/iDqS1NR86xUHOGwJbj196cQbmxERvqi1igxYy/mlnEr2V/DEesXpgtgbfPqfi56yEn5gs9r9L5+BWXSz51AOlvPwful5w+wxHjHsHuiYek5pATQngiNrNpsPW6ZQFGMbRmDnNBSk0LXmke/Gv17gTJzByVjhXac8+H9fVf60vltsy4RB7fj1oPGRYeeyurZSWYMqNKsEr9ZjAhUKXuyoqAqe+F1xUpByTSJfTcrlfYoz58ItOxcl/lQyze1Iw8O1uFayVaiaKUW+iBQ2OSonKLmaBvGBoNgQxpIFmhe8vNPt540yJy3/0k5BsoxCQ6b/4AlrY56oxdTQtwXetbXM0l3VqmPXCtrJM9Jz2KGjHiCbsEla4xSOfgb9oJfjUQtTb4DQn32G4IYrh1xwPoWvWgl/qPB7tfQ3tn+Col19Xt+Lm2NhckKGPNEF8rADcpldASuIanNlyZ48cEqsFJuGiiBSqvByCtETHI/TKfx/1M2PTo86cIrsBvZGRe/WoZICmGw8gKP672QSP5oDZE98Bb44i0LK8sTGNwgM5D+MeOhv0s5ZegBzqErsEthPVTNvSygljXK5KKmoMiAK0FeEQW4zO74QZ05c0BKESbR7zjEDAQJFLUhj1cBQJrUYaRNWXqkRfQ6q/B0xvwnXHwmxLcjhLpVfJaiwJeugxXdWG5aXnWTC5sE5kgr3xcYMEOYJBiPTm8PI+ysXJ7CoYxTWlOUwNRgmkKBWh1TY8KAUwa6xSAGXMOhX5m3Qy/lI4VIEU/AIfPtouy6sgiPJpjD9olCWfvXMp2/ugqWwcmhY6oHi53oY5fneVJssdrwPBccDyXV+E4AnG1KqvzWZKWsTO9hzr7t5/PNSToWrkG3geXw/yYyqdDab6HZOdTDFrmormiUQuf57LMTqLeCPOY3jEol2UfaHQtsoSQ0B/f8zxic59Hc+IZojW0Mh+C1/BX7Rdr4H4fwX54H74wX9GLmCEF06kpk+iPwOhQC7wgYtvA7KzASMKERcpXJc6MQYAaKRDWuph4b5ijGsC6uwP0XxeA4+wCKMi3qA7fw6Jx+n6CVBPQFKJZ/WHh8/SZrrld306KijFvoJEChRdxmfeNjF0UnnsIKdWzCVcaBQyufwOUqz4I38wQ9OIOPhc7PhdfT3ctnG7v3CBB0TYjMnGR3sRJB0ZlHM1yE0eOLq+E+Z2pOR8xYWM4Mwk/NYpAEMNDaIFGHh1qOxxPFD3jiJTq6zplGKGPFok5nOhYv+cTPidp/NEcLmPn5734UnjeBokA42cXfc5aIYlWYKWqcNu4PH9S4m7PHYXSKOGwuw1+7xB8UnpxBm/jyOHMDPnE466Ln4Jv1NEiOjWrrcM6PWwbyj3juDaRxWL2JyV8rvIotMq3YbQP0xxckTDbCumZpp/urzqSSIsN8JMmzsfKXWg5pOM1olMearWwXdH5BVpCxkQrFGxuMhSZfpD3uqHYHjsgH7jaEOAt/QRJijta4TUdpuElM9fw2ML4EXMdWnocrFyKrDrXQL9gMG/V8mf9r8VHScl+R3wEfSoxSVQLW41rSgWK30TJbuOITfMRwS/FMTQQ1jI9G4YX4vP13ZciQbOr0HojhWJnus7ngKfbc8g7bWQUk2R80htQ96fpvqvE6egRWlziFCvqozmO05fC8Rj/XVrYf9i6FLWdvY4gFTbqZnpWC4oKKAF82yD+M0BMq0JLdybjVaoZ7A8ktFQU4G08OOGVbuIA7c72rTLR5TEN1npZ10A8eA+NC89Df+bMrUeiIkIoROsKUXLVMCb6oNK41LIWBF1/QVxNFC0pcZMkI2uagnZawDJc6B3jLc5kq2wZdrYYUlcsiHFe5JQ2xaiNHGcKeswjmaYNz+jBkwFnAFedaNPoVNBUTQS6B113kTfCOaF/wzHk+stoN2KItnPJdhbuSj0xOES3q5UsPFVF4JuYr74OxSs/iNq2t2H9lf0ItBgOkKKe6bvWEEge0+hiwoNpJW+zxKmVhnAMW+miLXxZ+b0yj9OHSZb51KdVHKdFU06fr4us3CN8fyQca3x9jz0F4iUEWNn/Rv6oaZXajxDT/RbKfR+Wzm2+EY4+hv5rv4VZbxFHFx20GgES4yoypGhPHdKgWgAbGT1WaqJCi26LJ3ygQhWtOGp1D8991oVCPOf6wIHmKnjkeRczxPtEqExTOb5XicHr6L44/SP3w9MCyg/Prb66d+qa4RK0br8MLrDrkr2OYltbrCIlRmVOK2GhNFxHpaeCNuakm/efk3lreQ1/cinLh70Uv9iIT4sBLBCojeYyxWtS0WSVrESPbcnD9AysI0EFrocHlH5i5vafYeU+Twp1LtSrxJEQOkel+/timSYbG3fZJ/FXI1txmXcQ1Vofptsm5pwyyl64r2F6vUQ/va1MPxFHAsUmaVKncOXBFsIMG5yKoU7KQ44LzUPbS0AIgYRZgUeMqPcymqmx6Y1crXQOrbbLyCX0jhCjRrImei2bFlLSGByEZER6duzA9ZWTcFoWnnRoBdwDhuYy+P+oCn7ibh+p5MVdhD5TlAUbN+5AQFyfMT6Lni8+Bn26CKXegnFyDsmnXkTPlx5F4W/uR+qRfRK/QJSGmfAScZNPWOFzyZOi7LizA5YjYJSWS3m8tQdfe9nrR77PkHVE3uI+QUovIEH3mt0WQS9dyPfBtbFCkcOVbq/tY4wUmqRnp7EYYKOlYG4XNTAhNlkIozDeS94rcHi9GVkr773OEe7DEz3XS+ZCvi1itRgs3b7Hy2iOk7KXUlo+C61jmefl0gQBIoWCVmwikw6wbXAR73y7jy19Jeif/zMox/aDGUT7vg+Rkns5gxop3y9PHAErrVjgffC7ityShhkeeYKL9Oz8FgRqTJa2c1tQm7Og+S0kM5cht6cHIhcqqpXO2xLNKufbCFwVQTwHtaUApIBvdxTqsqJVPCsV9kPFLoP0NNQgcSiNhVUwT4NUqy0TbgxYKLWIoVJooWse0sJdo9MqKQSIwypcjjL1EY1o2oB9DDot7Hkw0UznoWwLpbcY+mRdK72E6IeRCRCkmbYViKnWoSEF0LMdVqclOr9VwBFW5qu0UBhoJpgWM0yQvJkkZpHjrbwFP/CBWA6BaUI4IJoGoqdtOJ6Dk/ZGbK6+BH4zQFETgKIAeg/kz2nKoHHTdrDSnZU/6W8+Bdc5SEx6mWDhc5BIr5Ln1ulEuo1AIeWonyTBACA9LwHDg3XS888Jmei9UgZneLE8wG/GcF2MzwjlwwJM55mmRAp53+acM51nBRJopMJQJl4hb09HAeIGHp51SvIs0Z7nOwy6EYJEFuvq7kfRvY3MSst2QsXnGiGdfWNibNkcy3kX4iYbFkDNXLDraNopGKaKZEpDg4Qzr62Df4nM6vMu8wSRtfod8SFGPatbr1PfJ4wFGksUID0oEFDV9VoWdqXBoGWuEDYLFsPmWpYXJRqdYqlk+AyjMqspVtTiYxiqT6L14iY0d59C+tSfIL3490uKMp2UZLH6IxKWm/sY8jO/T+P9SHSqH9hQcSvy2gIlK8NXytvzgoDtx6h/BETH2uB5n8/FiqfRBBFSStSEQT7QrBPxkrEzvcIVAfI7Amx8h49oKxnGkt2D6JZiGRC+j2hLGc4TpBDh0FPDeZPj5+vcoYJENY9MyJA9fbrEAVyaQwPif6K5VF2oSjjPXcUbf1VadUrAy/BO8yHxVWtp02Kyl0yAeW/z8OlrXBX5LEBWCng8IAQ9H6uEgy8py7CZ3zGIjYjDRi4/Cy0WKnWWIZ0lIWkF5Y+SooECefT6hgx5SxmO6Cka0BSp19Z+/pS97ODr5oUbxaJJgSbwPS8sv+5lyOdIFGkhl+taFzsBtm63endgY3YKcVHDtDeE6sBOIBOOE9Fuo070g8+n0Bw5kp5HixRrvlDQEwvlvrOd7pZkFscSr4dDnMJk7RnMLHwBzZmPI5j+GPHrh2VR11heT6QsOx8rd1vNQI+3qfaAxpMn64s8Lx72aTQXJWirDuQUAebLWenOWx4khABbvhulkIaNOSx/OZhaXpUs3+1pzTk8FxuCrxh4bYwmh+7MVzDep8ZxRWKIFiXm4BKv83SleMnOFlm489uE/MwvtGK2zL8jPiyLRXLtDC00MiDd54ANzMaoDyWFRsrUDL78VRVf+JIi+xfjdLtIYbn5tCFvd/bLij/Y9jHtB/hWh6c+W2U088Olhaaz4ZwtL+gNt3LZ1Syj4hr19fzTAAAQAElEQVTE3/qoF2nSJvqTNYowO4tCq9UxMBBCZ+cEUkmA38SdcrZhFjFU2sSH1zsCWIi25Mf1HHyNOjsxLXGlgeziyzeEzCshg5nECKK93vmbbT0H/xFZGgu2aqCVsqAfD/l9eTFmTAbwWnCJ92BeXSc5IQQu9/WKAuE68L1FqEbIjJazY2CDCca8aRywqd8UYyZAbVfIpKEpfI9AO5jHzptehGmo0sr7CLF9OpLUSv1wTRPtRJb4thzqyRQsP4uEl6dzQP6ityemKwGmNrmSx45NKkuW30wrGZEXzmkK5OhZHY8hfk48xfB1dCPv3ivw+BMgGSXAw4+KpcWobpyzxf0uxbXXefOar8+mhYxh0g/c+poAuhHAqvhQqI3Sgyp8tQdqLQfhKfBiKpxkHmNjR3CsYmPPZNjOeiWkX7yN5rGkhYlngLoTQJCs/8JnXMxMOUuXZRH80X+w4c+r8A0aHaka+uHBJt69+xtnW/SwTjY69C/nBaClKn4UeQVaoNFsY3quCJ/o2itQ/UVVqVxUqR8VOmcLOGY4qeitw+fEPR8Ep8P8s8LTED0YUG7GuiODWHegF0PeTRhWXitXXH3YktiuVactKktZ7aC8FH85ETeXkcW1xZoM2Yus71gZYPaxQpsEa99FvtLCPDFIzy5OAh1LWcbXv/pJpL7wV/iZb30PH/nat6H/ze9L960H/hmV4jTGyhO4+8mH8P5vfg9TiX58sDeLPdUrcMrSMd7ah6Z3UgphNMfJD6OQHgBO1odnAhopAVRyfJ5uly+EqbijYs7wZSLd1tBGTjKryUQRLoGdusy6KI+V7O3+q2RZJxeuwMrEJfB4O5kJI0bXKpCvKbJGZkI4MrxzBHeoVQy3SjBtC2+ance/GlTA+4xx/sU4FgAFaVNZEd0mYa/847eClbYs8PEHvHKf/S7S33kWsf3HoRWrcKjNtf0T4HJ8vpvoWXD43Tb7wBitG815Y6DLg1E+isJTf4iefZ9C6tg3wIxLqy0w749isD/EZ5+VYqX94cTVd23AoEvuNFrU4krdwRwHZ7jdLYH1dQVpuox0IkDWFmhSYvh26iwdbDN3Ot4BXZLAS4XCt0qLG1whW7kruSzmY6QMagq5nx32PYfpj/0Fhv7599HXPIZcNoBYvxFRGbezeOd36lKUJFQ1QKoxJcubf/t7UGol8FYz/CHfoJfGLpb/gt5h+CObJN49o0/DMIBZ4mF5S5rPf1GRH12dJCF9eanzSwWqiebYbXDSI2gPXA2/Eio54okt0BZa0FsF+Okc1ECQIt6SlSqORTynCi2xCcL2iEmtwF4/IPMir+IfhgcrSsIb6IeveIBXl2UFKcBF/TR9XELsighbkynLpJqoKp7L63ZYhvdx9+J51LZ9BIEexzTx2T3WtGwbWERshArluhxsgxqKakkqI+SfeRhE3xUtgL5+FnVmiMuCmMUU+DfkHONgyfW2F2TcK3C9bfB3LYITM3DbJcynX8KBLV8kejaHgPqL19cHIhakKATajgPSG5CgXcBG6yVZh4jRNXLMzABE+IKgCS+VACuWWOnuRcqdI5OMBXewgy9Tr7xn18NzOD2LCHwFTTeHbCwIgeQzbRj/lgIOh68TyHT2d6asM454ISzXDpsPtY51TXarDz1sajmPnFGQAHZNkA+oppDhK+Xxm12sAOH6G0ENVVog4X3b+2j+ZFhC0TgAK6/VJx9A9Got79m+mrJ93muBhbWk0HFPcrlCR1Z0AV6bFFwscweuCW4FPRYKehYJGcIxZE1qcnUaeJIeZCNwwFsDJOhaJPJZPMbha+YyfA8mCS45/hohlWlMtchffgz0h8+2XFoO7045oVwF0+CrBwnuq5eJkSJ97vEqXtz7ekzNbMfu5+7F1z/5Qez7yg54Lz2K7PzHoR77Gtxjh7C4L45jT16Jl564CdrM41C8kC50n/cHKa744fV5Go33V+jCZmaEnBe8gBTuCTqJb8l5n2IYPyUQUxUkyJnJOileBGo1l7NWdRopKAZJgDY64zNCIv0eoOswWQbmty10JcoC6fll3Fd7ZHghnr0uZDy0jpKdy+qzoTLPGSIFEQH8aA93oqeUvKSH1uFDvM62NatV3rp2swTHnz+6xGdJwAV4MzQdBU4Tw72HYaoVlOdpHimfruBIVdCc6qNXKUJPt2nMnJ5XeRsvxlRoLuRwNVcinpHhvTA4kC6r6DCJhk+3QmbQMPtI0WYTLXFwvopN3gJG0HW/pvAwct44LfbhDOt8ebK1vGoJ+pf+CsZn/he4LrmdTHIKQrfg5zXo1I+2pI5SWsOel4jvMmOyJpvmUv7ODSuQRuPjuHrwJdQ6dKQZu0LinMvblr0ezyfejqe0XdinbMEcjY85WlB0aIKuII20vry/6qQsO18r94QSg6Y5oMaEQ7wQun5uojNnV6aWoPfSrXHi882QXl9pALydjF6bYDD6/AYSbhNNIvgTngSt6h0hxdOLegExTcdVnfZYFfEVAPIidM1w4NA1Pk2KlsXwVi7JmYhNlPWwVbWMdDzup889L2Cdpe8z6n3JzbidlO7/OrNd9m3uN8wv74uHz2ALC0CEWAl6if4Fsh9z/+L6CSwPpqNRucHBcK6SGZfAa1F132uHFfHCy9najnF/t+zjtyoBzrXFUFjjKn66XwI3WC1M6y6E4sPzVCjU9+NmDUpyUOav5vFbAQxfDMkwNm/ykXZiKLU2Mhj+zFMyXOnFjB4oQhC/r2G41UR88gkoVnUl2gWl02IMg8qtGFBvkeWM0lHwN9s4kWo0AVOFlXWgnCoS/aTxSBkB6TwoAEi+YstpjptzCgfLnEKyLyvjow+m8tzHCHtT4fjdERCNOFGGFWiwzQC8wBZXiL8nJNYB2SgjnmzhmitV8I8XBzlMi/UcoOEOAEKDrwlqFyCuCEQ/Qwe1K3UKAhwvBahc5YBOIy2/4ydVRPu3R29/ENo5D35OjBRdB8dZ2b6XFuM5Ho2xB7+nyDHCsPNxbCkeqDr8IXr+nbaNrm94KKyhNhNA8QUSqQqCFN03gY1i2ObWgAf+5uLmq3eDhAocm3YxNWbB6vXB34QqD7vY/0Vflm8rNtHVAIOuief+NsDuZ1tUE/D0F2yoUzocoj/uvZ9HX+4EBuBAbXsoTy1i3z8+Lw3YxvbQPEXtzGNsfGgT/H5SgMgafuRxC7zu3b+KnXf9Kzz+zH5OSve9x/eA4TJBHscZJ3Jv+5nfAONQ1tLB6Xvf/x9x470fxt3v+TUcORHKq0sIFJmcWcAN93wYf/Cnn6HUq3eEve7VO98PzZkcc528V90ZhwjaMv5yPC+XlsXVYk2Gyf8/e+8BsNdRnok+c/rXy9+7uqxmucq9YYMxhtAJJBCSkIRssqm7SW52sxv2Jptscm8KYZMN4aYCgQQw1WBjg3uXJVlW77/+3r5eT73vO+f7pF/Sr2ZLkF0435n+TjlzZt5555k58xGzz07GkZ2K04RlEJboQlwZkGFVnNnAZABpFf9kmIMCLsXl9GVkMtr0gjRZa5+7+nDtOP64vBXb+xRoro5lM/OoAvi6NgBzbjfcLfeQC/JPL8TEYYwQMNyTzxOQl0OjVsUTXVyPAd576AXsMSJ4MWWiZ8dL6EkP4O3dK3GYBtpZYSDvjcl02jufyqNCul0C3dkSWWKXexucTjQUVNWAyVCjlX491gkWVg2zCs8N4NNqKV7HVV12Nxau+2W4tFDwOpI5I6qYm8IEAY8gIE804+CdxouJtLU34Nenn8LvHfs23rVCw7orwmdcTHMxdr29Q7o1AWTAtkige2MDDXathJyeDsxkVmOHcxNm6r0EWglo43kZeqNJk2shMOEFWPCBHhIcayQ4vFi+E64WTjC02hzM+T0QhQl4RDcrVmGxgLmwS4ABtWgvEOt/fc8jC7WEpi06euX0YBY41bmQbUazAYxMQAtdAmqRgL5VQN8tAZLLgBTZcRkur80HWjvqOIst1wYYS12LcoXq5qnvoPAvX4QxcwSqCnRctRz6ez4EtepKoc9rAagcz2kt4qkuCaIEoLNfG7TzrroVzgd+Gbwoxv5LKW/dNdI7tetRvOsdPq6ncrDgxDvFeAf2Vx708cTTkuSitUbXJpTWvQ8QVK+5sP1EjR6opSqs4yQADq6AKgRExQZfWtOBogTQBDWMwIfTGwMDxRzGarqyHUfHX8Th/LdIFGIOBARd/fAUB3AWEAQqhEhCrRBKzhHOorRqUYaUiItFG/PoqBxGrhxOnNrgg/AAxhiIjSFbJSDEo3I6SQSmjsp1MjosdEMBzWxD5yk6+3O4FgEq3fT8TQpudpEGJAqHwHUsHaRl3DLpgNvdQf3qO3CKU4hMGiAxEtPLCUjXBBqxCj1zCc24RrSCFiwA22uiUo+hZPej3z8CEPihmClAEKigGdRWGgCNW4HBcchq6Ci9ZQsCMn1HSNPpy+JyXi4VYXH6zQUhnXaiRFMzhSbXGkxTeklt8gkBtwJYVKyhG8I+KgOW0KItYbxGgGAjB9SmAdUAEtR32WTF0WxKj83Fqu1ntkD7xWGX0v4qNU1Ob0AVyLlzBHgIXGt2s5dUDL7HqN3WZo6j+fJj0o/H06XAdg7ksZjNa60uRIXO1tesFhouvQMgWqHGTqmks+GLYCBbETb5AJqlSPN07cnmhPS6mD+QbC/gzxMoxZFjoaiDheMGO09RDGawR7kq2FhSLeTDsPYfpsYS4ViyOA6D7TPPVPHKy3fAFgrc1S6qtMhS9aI4OLoej37t/Xjw7z+KRx/4AL791R/Hk0/cj63bb8POnTfjpW/cjljhm0vm/W/FU2n9aWqghO/ucpTrldaEenDAh0L8mfNo13m+JX72RSzUqMMFxM+dRth2mO5ClWoGgKD3E5joqBWpXQrMG61nSoSTYk/vwVLXPgK195BaKoz5G/M73lCgEMjKNFpLBmovNnqtY2d4gwGHX0qlteQQr7UwvlTazdWDYJmLy/had7nPTntwPQ+DmSPIxGeh2FXs3Rv2D85zDw1vwvexMb0PVXpXMFgm5xCAgRi2CZIh2Dxd8Z8r1zwfWRo34o4qgzkOsTR0+AY4rEHhdTWNjtgsBC0qnu1YJxm5pfH4ykfAaHYZm7sO4cbubQAtAh4+orQozjSeeFLB1m1huLJ3qwRBlOMHYE/PYOzVBQgacPg4mTyNL2OVrXCb07githuwDEzP0JiXpIGFkn38SQ0MfsZiwFtHvgOoNsq6iRmlG2tboDyRnfPuoGK8ObsWb+u9Byt63oWprl/C1syv4JX4+1Hs+CAi4szoaWWD9Jw7z1nutppCzKKBSwSolkP+LCOSFqgWAuprIBlJJVmbvLBap8KwpaX47HXjtCMeR5qzMjRHMrm0LKF9TeuXvndGdWl+L7XbIwNQrDgG3DF6NAcPleuXLPvhIeIvlNrxcdLo5rbHYOEDX1Gwa4+gNiXI9+x3Fy2Q/3xyI64yOzE9HdJl0sBemwQPcg653jWGUgAAEABJREFU4TuabZ4c27l9MejOeREJ2iDiqhXsAnAJjccaPskW4TNysgcdn40l1TjNh3N+gDypT5QC7LRPxlsywmmegpNudMMzkuinvh73x+CU42iQLKpQ20pYVSgayaCnxWs722PHTNgcwV90c9h09VrQWguKra8y2G+xUkjWjmQsmBkFHcZy6rIlxI88vJjkNdmjggURIcH7+JFvgy/uY9GagEqrkGUCdPlLSa21GTFIZMCXKOXhpLkyAG2JHe5aS3bxG9Ow6mkY+7qg7YwiurOAWw/XcM+OPFzCLWZFAn7UJjC5gpQZzhGafpEWr2164jQ2XqFLXIDbE7dZ3omvIkZ4fwygGYivkUF3IhqQfvJut7M9+4T8ereyxpWB6lEN5RaPbW9skAHn0XhjGPNLLgfvcueytMH2KzcF4GNfeMc8hzPofp7kTgYTyO78zH+G+86PnPAbHQutfb2hWaE+J0gq6OibhK+kpKc5o0jTTQWwo5tgknf/4DGo9Ep27bdRWefSYn2Ag096cGneETMrWHPHd5HqbSAbB3RHwcy3NDzyNw3U96k07wyw4sZHcVVyJ1JZmndRY0xHJlCtFbFnLInDxzTozzyINbW8zJcXJ50f/ffS/kPtZA1k0wn8+ae+SH351PZ4kgL4jV94Px791z/F1/7xD7B5wyr8wm//mZRfmObxZ3dI95vuuB7f+Kc/xDNf/Z8Y6j/JV5mmXKnh3/3Wn6JWP22CyYGXWSmXOf0f2OQDAi4cPdxFxp8cv96KaAv/Wq5EYEg4E1ep4XC6DHyyGQMzf6Dut0Yj9lykfNgExFRP+DjBSfsJz9dg8bLErSie1loMICuGtDgUIcC70nhX3cskq6qOhpWzkziqupgnIeTbhQIUU4X9478O55734qv33ot/fOMdWPjRf4fmh38Lj77ro6jF41hNE/fy7W/Fn9x+DV7sz2LeraFQmMIWS8PK2ErODmMkaLElES7gotzasVgfCIUZbYlBjeYAMAwg4qnIK4Hs5H4daHoRCPrFojl4ro96jlN+nUpRX2cCZ0ZX5qcwkcjS4KogUbLQkTmVSbkdKzHcrWKk24PbFwrrZ6Zy4T7tCaDTAmrbMatbrkCBgPep996HffEbcGBhDcpqFgvRAQRU/eoTh9qk4N0z7GChztABBg/3O9fgwMBHkLv2F1DY+EFUlr8JY+o12G3fBKs/bNMch4GuC9ndHtl+EB1//y3En9qJ9kSZ41+oUso1SerHItJcrPFZypvzKqIC8Dp8NLt9xEWAK4oq+JkytKgxeLcPcZk4q9vana7lSyeKxWcZOmuvRVHtwkJOgHe7j218L5K//hvw3/uz4E/ttBao4C7ate9lEjINdZ7SWjRRdG97G9zb3irDzqX5664D7zRXynlYBPDzgg4LTm+93wcLURz34GEBO2RX7HxNqjFXkPFMnWYpZDNmG2j/QY5oUAMjP7UeAjVKbJBcgE3tXlpIW6gcxMwCCUHUp+v1MiZ9miSTf5BMw9cdCOr0KjQooIlApQThNSl06VutuTJgwa3Dcoh/EUdFo4YKAaL8iSgHqrTwUWmx1t7GUejlGDxCz9XhBBpmyExiygCTnlWZSpomHgHsK+uw1SgJ11GorgHMTaE9AdS8BuK+CyFUNDo04gM2+o6shYEUvOEYelNvwDL1HTDj/RD0dL5uIBAuDCqb4wSYbfRigOrGpGSVWAegKBB6EnwFHhGRxWstrpEVPM7Mbr4G1VmB+fgy9rpsauwRgQOfVbDnbxUc+bKCyScFCgeAwKrBpSct+VEwUDigh0XI7RYoHxdQ6VkG3+hDM3HOK9b6v48GCdOl1liRXgMZnyOaWdYBtyxCyyI9CJvaCdpFQZfMygt7zGs4wXcTs6n5c2iQED+stQrGATRpW374EESjgqO9XbA/8Cs4G9jOx7g8WSfkjOK9OdoaJMn+Wu/2rtVkC7SNJVSZFAPWKo2Z7IjGWT9TvdyYk563R/qleSFaV2sSPuqWJXlmREFAttx4AqfvJG9PynnBi0hO3HxWsurOSvr2hmQe/5kgS6yF7RzHpverFp4Eg+0vv3A7bKFgen0d3e+qwl1jYnzYR454f5naWMWJk4wTQcUMUEjZCFY5sLUA07leTL6cBoP2nP6/NSVoMU34DepDFgKSVS9H+aZpMYuBEa7XtRtDvqIQGBCPATFSXM85Yu1bOpOoKTocqKiWnYsuipEQCDQNjhdHpFkju4o5YmoMliNmy/R8NcxfOloaA72fPDqFT5Fie8v7FMPpzUo3bzYQNJBpJH9zum5rHOZALx5l4zXJGjLiWTTRbJX9HIA7R63cvokNRHccuugy0CNhdrwOIRwM9x/GDSuegEKrlmOjnhy3x2l4tWcCmPR2OhNT0PQu+GpK5sear3IvBGhYwVLXodYcpT9qQm1tXOEvwZg2SeMWm+O1BlQ1BUfRENDPpsVz9j+XOkxyhVN3MBgdg6nZWJ6eRAYT8muK9ti7OP7WlxUwELPnVRfP/fM+6I9+ESy38Fd6Ob8DbrECeZxMbAEF3aIxBiiZTQxY40irs9QuPRyfjeCF5k2Ycntk+33rDaMw1SYcoyHL7purlwTKF5djKTt/rHODqeD+mIU3pUdwfeTMtsrxdMRwIbvcFY3eD/EjQeOk06AXiJNXwAMk8TMQ2Km4TRnA4P8NppD2qBBYrQu56YU97HQ4v1rfCMeOQy77nqmadh37lTgsRcedEe1Mgu+Bz3ozgznLo4X4AEeq4ThxKbLljUGcDi+6MFj49QcVtMFC5m181EuO+BjTnE8VCook6RiwCXDPI+M00U98L1AtVBqWDBsaDMD8kcHHNuh+6IgMwuBA2N9C1+vXWc5o726/r7XKc7Z3zLnJTQBUhCw1F/7i4VMVH481yIMDL0BZR1SoWwUUu4f6ioa4OQm7Rs9eSUIhwD1uVOBGu3C2y9ABBmY5fIYWwXgsWbkigFddj6qdQbOZg1cc5eAz1GDsFoyk7kBj4HYw4K+Xx8FfUp9BeJEeguYLyb1fgCB5nI+iqg3ciCjxOkOtoZb14LF9bFamGhBAzBZRzsOLUblNEF8E9Fa74DBWvMOdTa8+AdHIwm9qaC7E0L1jAe/e1sBtR2zwAvV8JE5jeACF8IWUFdabLcLGGKEFQNB1150+6ZBttlIFoqILjWoEnqrCEQEsWixNRCTJCa2n52Qb5HrOWT6+WfXwLwcD4rECakNBu1/gAi8+/pRJedGz3X94ntj+6v6uO3zZ7lkGY0CeaS9EBYaFQNUkKT8f9xvDDDDQJ71Qmg7Av0zHPBxzSNY1j1ce1b3TWvRoRjdi2dq9EERZOihkxNkJDxPPBVCFj6u3PIlIeht0dQy9/UWsW+tA84lsWqOZVYCrr3kKnSueBUio6TPDlbm0l8TE5gUE2R5s025H2U/g2h3h3LN9VCSl8MN7UQ38ys+8B7v2H8Vjz2xf5HuqNUugfF93FitH+nHrlk2IRixJEND86OP/3xfxtjfdjF/92fdg+XAf0qk4IpYhw1njjQW/8Xv/C9dsWoN779zCXt9TpXxPc/sBy8yJrJZPrDcPSvP1am4mFMT0qfwJwbot7HPahkixARsFOCDOilOv9vntFrplANNJy+vUvIQlU1gMbnarUfxT9z34887b8DuZ6/HGdSuhiDT6qyrM8l4UhMDXtD6Uc0eJIXXDX3ctdnQmMdrThWT3CPI0sn6bVqCEouCq7l78iZhGQNJNJJ7F0wNZPDK1A3xtstLI22lUabAre0eQGAmgGpA7FhmgPdegxvEzNNG2iM2WmmFXqNVdGow7iO0GiEbz8DyfBkym/LencvOzqGs60k4dFacP8bg4pZCBaqJJwGvzqveD7acEvgaHOl+UsbwWUCsdLW1uKoVjJIjyWcjs1Xl1gO4Pd8G1IvDn6nB35dgbV5Iwz5YXmqwDPLCzjXcrcRnn7C7sWNiIRybvBAPu2QyHhmp+m4BnA+nVAWJL7G4XNHuME8gepYknxzAPTSD91WfAADyHsd+FKLW1cLR4Ut2Ot78B9NYVZKi5zNUCjO0F4oZAT13gAAGtbbrLZfJknxU/D6t2Prfc7OPpVb+Kb63/7yi++edw1Y9dDaUtmRKR1tot53aEPIK80H4+fWYB3jV3wF++Ti50eVfdwsEXpPyrbpV0yr6XpclalvoUC1EDfWF7nCHghf1fq/JyOahaHMwLOA2FQG/N6GcrDDWCyoofgbBVwIzAqCakv91jSjNXPYbx3DYEJDT5h1ciKMUJIBvHnP8y+FgcV3EQ2NSuAxe+Z1H70sH/HyAjn6YJrwmFBF8IFVUtT1zDh+YGJLDWMEV9w4uHEw+tKtB+5mRpkmhMBHoU3lX9lPekTDUqwvJLxxJaDAPSN7IqjyZ1Al9Y0Oy4BAn6InkZFnPz0KksDDaxYN81tgKRSgcE9Tl7mQkFhqQL0gYBJp1QrAEIAahNH7WKhQlvJVZUXyVhPYBID0lamK0O16Q6IZ/Td1fO5jrwSu+bccxfQ6GX5+Y+XlvUZhrEOpivMKAeJPLwFB9NeiJBvCRKD8Th088LWZieG3wYcWk9p2ZlIccJjttexIu3drJxRLlrlix2OSD95M1lY8U+ali9bL1katypgMFxBtt5Qsv/e5FWGrAJINWgw1Soc1FuyvgRuUNzea4AaDoO3/1Was+tGQaFn35/q3qc2p4DPsaFd8afHn6x7gXitRwnWgzrJ9qSAWi+AcUP/dSYYJJTFP9pKy/C83m2vPPvlMBzOEa0UPaZ9+qSKtETpl1YIFmmlpd+bY1EB7RZH1cP+8fK34Wz8Dn4M3+NGKn7l/853rbmr9FReQCx4jelumflP+OuZf8MMf5ZjD5ewrYX74AXqBgbcPHt9a/iTwvbMXPlYaruCNSBCNa9R8OyH/Ow6WcC3PWLBt7zKzG86ceiMO6sUZaKjK9M06KvF/Yl8ryst9Y8Dgb4+XkS+QfkmfLJ+X8AK15oWJy58JvS6QtTmpdDe6W1u/2KtQF0M8xHaS3Q9NKEnvOcoX6+pTOFnnSD4EGgxFXHARehhE7tTVHhBAlEbEpAU2Vsn5FEneQ3NUX835J+i7UnZnInnAfPkrE9TO2LqIzjs2C5m6xwSf7hMZjtrPxYhA2o5bBtSscl0LTpsF27HWHbP1uSPgHyzVUDMji6/eLmGsePA4pbw0B2FDYBpfFMCdnEFFySvTmMd+JpswHiqCObnaOx5dSFVt6tzhkrnmDjDDVRbUq/TkUHgxxM76bpfZFvvxe2iYkajauKhVSCeJkSSHCbgs9583FEXO7lKQLsCBQ2NRtDxjHQII72nwS2E9i7T2DPPsCkMc2aPYLDozpexi1wb3sb+Mi8A9YWCAKgB/RROFoNNZKbOW4hqcETCrYM7ofaKODJhauxy9kIQzi458YCembCHa1l02dyJK0haV5OLa1skMkXhgVsy4N5cFK6F2vc7NUoyTXkWTlth7tvUl/ggWvRDnciwxnIwJAAABAASURBVH0RBQYE3kKgK8s5Wm2evVEduVOaI40QMBxzw3cnPRdpjzV86VqlA5SEtH+vNV5I9tQG4m4ZhWYFLzbcS1KELA25hgH5VcOzzyvSjMUgv+pk3saZvPSSwsZ5FS/6MNFjxmE5Hq92mgToCTiJAUpXcBB6ewDeuMJ5MPjIAD+Pq+xe/LWvJH6dGr83ljN4weVKI3wGPmP6bMkeLjWgz+TxCy/swFtJHma6B2oExtZ9tp5XaS1gWTTXEmBpY6OTx2Qphnrdgkpz7e5IEb55bn7XR/XDGeVC9oj2buxDzfXsjdLMVmmerpkiAwuENVD6dQLFOTx6KY6WOfA1qHZJLhRwf7EzK2FQ0zP8OpqWhnrUhtb6MgqJUL4WpbDwTmdYb0YurHsuEyu9GLYFNHNQKcjXAuzpWItdYhPyjbUoF/pRpucZJ5CdcEYkjQ6w3MNxq61TDIwgxU5w++VFCXYwb+xQroZX60JAcydNCJgeoJqCg09R7TH66ecEHviKgv0LAfKKh4G4wJs6FaQm1VPoz+do73Lntsy0/EU0zxPZzipOfYrbPdsZkGe+zfaLUWNj4XMsGz4Za2HMI84GxLOulAPadd2ue6a0I5swuGo/+NgZd0Hg8AEbu1tHyQwPHsTAur3wlBS86AxUFLHpuq24+p4iYrBx7dXPYuSaF9FwGvhmuQtJvQghBDJFwqY2l9C9IolSagW2N6/BmmO7AdcFHxXJi12c9/dLbat5+F6rV+reOR+3qyONX/jw28G73Bl7W4r46RdexT9/+Tv4X//0Vfz+n/8T/tMv/zg0VUWeFs0PHBknPlrHz//Wn+BDv/QH+Kt/+AoaTftEMn/8l5+Hbbv4z7/ywRN+30uL8r3M7ActL08NRwaeCF2KZ3f6Qmat00RBLYfCfWBoJ5JWYMgBhT2coMDGKaqBOemOKQNEmZb2Js6kw0VeXjaJgLi9lisR8OWciC0g0EVMfZ2RwZbeFIpGD7K1JDYslHFIXaAJUoCH8wUCsUoSZOA/kIkJHel6Cf8wMyPTuS4Rw+dqu6RwcrvVjzf2XSX9v1g6hL31WazWFTT8Ydg04cp7R2UYg+5sqbVk0cZA2MnNJc5KM40AugByBMiBmKRBwJ0eicAXKgQNLprSBI15nNy/OXVIMUGoGlJNBQ6/0bR/Rhn9RA/8ZLjr94zAi/TQ8mUZw+1ISJO18igBzf+igAEvtwIwGL7qR310XxPAIOBL3ZBlMvjP0MSIwnn3DHu0B5y28MQ7OD7/BQXfINCezwHnVWqmW7kyYAO8eMKgGzs6KW02Fyte7El95VmYBLJ7sSiqN6wHT0KF7cidX5kvPCGBd/7smpUxOksT6JxU1p5RxF7ch+Q3X0T2s4+Cvxzh9uzTRHZxHgs+YOcEojS5FCQAHX++gdyxMuxCQIOwkGFMszjO5bC7rYU3jfpRO30WVm6+TcGNNym47lq/7X3CVAkQZodHYAGbrPgZXeq7bBfJPjhv/TDQ2oHBfheivNYf1cg/bGUhslkHg4HKkT3Y1HwayfoE2p/iXkh6p9PQ64NWKcAyuwCBE5fmd8En4VWt5tFb2BP6p5dBsT341KGdnhgWjhcwMf0KAppcmgkV+thGiJdvI2FTw4K/XZ537veEPFr1mJ8KCCcFtfWpdZjoSV24TRCjg+sLBH7INxMFD4ZXxmx5Dl7rPHGlIcCTgeTcUQLj69C0BKwugXKfC58ENBUx6KRwjssQobDcwCwaKwdCynrol/UmsYYWnTZ1TUL1dQS6iWZWQ+fEMFTig9XW559hJMClhQCFgAMruZ7YhYBWUxB4KubsIfQEE5JMdK+SJrRoaHolaZ7eB7i/B0KgcRKrknSXUuN+zqB2tBdY+yEfK97pg/8foWMj8xcHru5izksiQkJWkgCA448oMnsZfhHrAGbImsB50XoOFi/itcPs0xbRmJYzY3o2L6WapTb4W7ln8atzT+PT5f0o+gVsNgRebs4hIQJk1S7sdEJ+qH/5b+TiS2e8E37vMOZprDpbWRjAbx8n8+7YyrORXbA/HxMBLga1NYsWqjhinPoXm8y3VZ9tgK6H5mK9fZzMxexu5/hdqsUG+D9h2BJLChgZAT8QqE412OsUlYhxAYF6sYTU7F9jZs8kXvjiB/HsP/8sHvviezC6/Q7k9m3E6NMpTD6vYvTJCGr7h+AcHsKeR9Zg6/Mh2J7rVvHdtfvgpcI8nokfwqG+URLqgWpFx+pVJvp7DSRiipRh/tPCc/i7lS9hrL8Ih/rmc998KxILn8PlvhhQNyYehnvkAIq7qxh/MYajz/Zi7+PrsPOhzTCPfxVM0y6H5oQAmq91t70uqbn1ZQUzlAWDROvXBQhowZAzEH5Yjz3d4ftpiXm4idqwrtmwfRfM85n2QpVB/A206NR0E4jT+BPoKsauWYvGtZ0yiaWekXe0P0nAkSQgbVexTPqZd/trPn06B5a7mcI57Sgtv7XYJGyXgy+ZUloV4ccj502zdvVqBCSDs/zDstB5I7QIZmYCeMTUVnQdgq3FUNEsrOzeRwBSEXv3K9hZDUgeCpASJUQyJZjmqe0lIDmIkxJnefRc6xmGaB7AdLy7nRXbe2i2wibzE0VLQtMcGuID2E2fvc+qOEkud8RbwDoqtx7dhyDp4Pr+PbR4UAfvOK5Uw+g8DsuFH9/Htfmv4n79KzCozNuS9+Nl5VbZ1o6ZmyCUAOvxAopRT0acRpecU+R6M+hPF6jvVOC0FqfuSD+KFcf/luqoJOt8wbTQpGcxrBEZ93JqOmKUUzeaHSpygzVqkwtQad6F065oTJM+1daRe9JBmq+ZCBSd5Bgf1vQ28glvBun/JKvgDovkg+ocLUA04CQG4ZtJ8I7jdc4C+TmY9EL6xXqduvITtbAB3COKi4O+p/YRkrNUM41sMA43CPCtsyyivZZC9bb4FfMzBgrf/Q4f8RiwiuYn7Me8bmZGnDNpbrc8Ps4rNbxiTYDnuh8xQ9nOt1KoVAJ89woP/5D2sEvzT4DuHIcTXrmCKpotl0jJ99YIE+MFl2X5AjoJDOTjYvjLljBkkb7zKKbnSsRjbayfmsWPPvYS3uvbkuBblNhnqufut0zY5hPC74ZCyOsyWnCYK6bQmO6GDhuZlMFk0Gbz6PiHb8kvlbM0J0vT/C311WfkHG24NCZpZkKIAD20eMvvIFfdQrwMsBf2U1ttSpqzac2uDWj0XiODk3u/IDEI6bhILXb8CejlcXhGEuXVP4JANU/0mZjrI6Bu2Ix5UKbLUCp1BJYV5tAMK97OhnWmzyuhf0tXK+Smd+FX8oBC42fMx75bU3hiY4BD2VU4rq7DMX0davHwOTsSyVZMen6EcxPGedC6Nl8Zth3mjYWCDrW6Gr5iQlEgAXeNx9AWbdtYR+M226stXsrt7x3v9/DGezxckYU80z12RGOSC1bcd4QAbr7RX/KIW+5TTMMJMg4wPS0kj2b3hah2m+jMUiYUoUnystOaqySGDPIB2nXdrnv25K+2mgS6Dw8fpjEI2P8lwCXgPW6Vsfm2xxA0PFTtm1EZuAYBYVQavZaVqz6LN/3Sw1hx/fOo0xj6jUoHcoUYYiuuhG42YdoaBNV19rp5QNNwwLwOnmNg7ehuzhIHqWzS8n3QSl6A/3fW/p6r/zXvnPdpP/ieN2FqNoeHHn9xSdojx6ew9ZX92HtwFIl4FH//+W/h8OgkZubCF92RSeFdb7kDb7/3Fvz9vzyE//GJf5bpfO4r38ETz+3An/23fw9d16Tf91pTvtcZ/iDl55hD8JQUgSJFKN7rF0Tc3g5ZfXwEhFKpSbuXPQl+skebyVZbQAr7tVUtmJNWS3QR8BIynyA4fweQkc6juZmkpNAWgYDSo6XRXADe8i5Yvo7bxzXkxRhmVA1PR4ZQnX4Fo3YF/HndXfNj+H+n5zFOoJalaNiFUTAQzzviPpRci42xHnRpUXgI8DejTxLwUkdaC4WWeW9cAlrp1WGms9sVabE7wkHNWAjd0rOlxWm1VqcRoEKgNXt5tQCKmYJHI6Wqu9BQgtcMmTeH/5tRBG5OGDx4C2TLqixWNmwe0s4ajQHY+0Vg56cDCVizn1SvQVNIWBAkMXrE4HhiR69LHvMw9qgAA+1aHBIU6789gEH2dhbubSuh0XwxNj+L/FYPEapK3rXJ4a/YPlhYMqgp2jbAKpMBeGDnAfld76C0dKYEeHc72xjQX5w++1m7R5EmYUyt1sBge+ktW9BYP4LKbVci/9474fRkwWWP7jiE+NOvSpX47stIPvSCVLEX9sDafRS805vp+PlqV63ipE9RL9BEkI+OSSkBZqYA/5on4d78Lcw5ZcRFgDVFDQcd/5Q4l8MRmOFgobYWQNp5LB8J5ASg7V5sLrVYwuHtybxaDgVA9rsolczAW3etjGL+4x/B/Jv/BgYD9Qf/Cb37vorN4/8K/hRXErwGrVIFUs0paIoFlg59XchUrOMEkHf1Sbs4vFuaOgnxbLF7dcztrWGi/hx8rQGaMyKV7EGCForUeifUYi88UceCvxWVLppB0rsT1IgD4jmKH4dolDiZM5RGQLzwY2i4Bnx9HlwSa6cDik78fRyTlTCKVhUYPywQz0/BECq0dBQiqqEaDwniSsivQuqldQUG/dIy0L/aha1GibelaOJvQJk4ghu3BFibmoLiqwjicTRNl8pA7ULV4Zy28MZf+RA7gxJEIKwEbOJ1j+d+FKnCPOJ6A0qkC+ZYKKwgkpF5Bn5YB25HUrpZq04KME9hO6vLBbqXW0e8JJYF4M14VhZIrwF6bvARX5anMTVAyY+CFxHEXkXyH6bpvNrnYl2w4vTbxMxX2nY2JYhHlmarWsgqb7cspKkRz5KWS6jts8PMFnwX25vHsbexDU/UX8aTtGgVVQSyaifk7jPi/Zytn8hi4JZ3ATRragPR7H+6erI+Bd5Vzrvb15nh+z2d5mLcDFZy408FNdTLcdBQjHRWBw0PMhnN9aSJaIC9dh5fqhzG7+e24udmH6NnmZRh63V6qdJ2YVqnGpGEvHggLaTFWt2oOEbtntyL7zQ95oaup7HM+Wsc2zaCrd9+JwrFQZSp/+cKw5iYXIfDR6/Hy9tvw4sv3IUd22/FgYM34PCxLTh6bCPcQEWwVsG2ZZPIZ3JIaRr4z+84j/0EwI8mZsG7sJg/sd+cV8dvzz+P9pE3x+87DkcPMFfowYHnN8id50x3OZRCsqUx/jCe+8a9ePgrH8Tjj74DL73wBvlMe/Zcg0NHNuKZr98HBt2NxsGwCEFDmj7zVWm7dBofu8A7ijnFu+7wYehso2bSyktQ3r29od/0rJCWtJVExKqgQUvX+VIg/S5UMxKUBr0fygkdDFBQxHJ/JxAjoYLsvhbyUbKeuJ+YyaHm+YiqoUzY3ol9gqBl4fHRzSal/MAyAnu35XC2s/LiYdtUc69fxuf0WJ0ub7HfuRSXc/Fu/HPRLg4bH3URBC4y2Tmkicc09ATWDO43ejrRAAAQAElEQVSCqZWwMNfAxE6mDrA8cRxN3YRqDrPHCeWboVVpiNBymj5Za0qftSImTf4KzLfC99sd6NKPQfkYLahFIjViJQFqp+3KlkSLtD17BYF1FaxIjkNNVHCIYi2YDpJmFRsSssBylzv3TT4PmOXK9V3T2Gi9imzWxT0/swoGjcfcf599VsA2EhiITyARnUVZ0dGEhUB/A/jK9emI9GQIYBolgL2ImzqfxaboixwkAbvc6hvh0DzluLYKfDSMDLjMWlbZIHOYX96ApwWI7D4m3Yu1iBald2hD1B3E/+4RaC1Q3jeT8FsCtGqXYM7tXhxN2o3CYWk6rY06PoGJ0cBGJ/Fy3g097sngE9pjDR91t4krCJRfLZwT/t8Py7vjK6CLAmJuGcV6AQcvUXE2bw7kMYm8A5ePTmw/GwOEPF9h94svCzbOqvhrHjvwcTw6T+3LxbviK9HbkjXdSCfGSW4sU98o0XTus7TQ9cc0l1hxpweeH3GivHDJ5tkU/4npAzR/fbwRgN8RYeBnI5X+/N74ffLu9oG9o0h9/Tms3DdKgGQRU8UaRGtAZ16U/tcnsPdYiB/0dKfAPJHnWz/y3Rfxq6IJ/tLwhWaYL85xKa25dKB0QTQt9DlNaPESiTBNWEYJIhYODPrEPA0YYUJcDpXwDm7D+swCumiAUcs1LORP1vfmTT4CuwvHvT64Xg2N+b1h5HPofPQLA+XcD9K7Pgs+XkZ4Ib86R7QTQdx3eNEqUC2U1/wIuG+1A93kEGJ1QBUN8DnungPwsWRBggQTIuLjrMiQsrpHPFSlbFV6/+wnXIpHbjhVuPQuFeEDaR/Pdpew68rjSHyghHVdezHYeQzVLBEGCrqz1Ggoct2fo3mCDRUxKDSDIC95czvl41vY8djjiqy7ihFAVwMkiXerJKtw2GKVpWHzphsgwfF3vcPHLTcF4HQaAx4qq2nc0ABrQkH8gAYu8+K4Z7MPDwX40I/5NE89GwUkEN8u67e/I+Tuel7AZ/D97LHCkLY8sbaFARVnPSi+QDxRgBdLoLjQANc1z4ccqtMwVqjb1ias3LwDoD6qOwp5Brjq6u/C8sZgv5SH+uV/Br75V/DQjcAZgfAbMJoHAFrMfWbcxTN2BoNraTzovxHpjjkSkQOkihEsmBUMDwYI0h2Y9vpw1fFdAC2mtDfPUEbf81snzOuaqIrvtdpkcb2e+3FTiRg++qG34S/+vy/BoXo6nfon3vsm/OnHfgF/8Xu/jK/94x+guyuDzxOY3qb75Z95N950x3V4z1vvwG//0o/hwe88jyAI8A8Evo8M9uCTn/4a/vgvP4fd+4/i2a278anPfgPfq+v8T/+9Ksn/ofn4erd8Mq15XJqvR2vvLOZBRzieTCowDWm2NUt0SWsbXJcO0hxUiVFUJRM2kYapEDcFSLgskL707VFoOaCJI8VdmuKkr9eZlI7TQUDp2dIaA72okSC4ZdbAJhKqZ7Rp1HwPf92Mw5zZhnUl4GnzJsyrEaSiGXSnajjmFdCpRPA72etoUNfRSWF6uht9TQfz5Rn896knMWDEkbfTqNAEqupPINoX0CAOEIaG8qgAC/hOKpCDgnXan6fGYgEMYo0snHCnrDU9CD2FQCgQqk8DVwN2pfUA/4YMBt0OZnoARYXdyMqS8WAoLS1tnhYcarMAydU49qDyup6DhQVOthbLYnabwKF/UVA4KGQ9d14dYM2P+kgTKMY0ixVPBJW1GaiKg+DVWRQOADeYIUX7rMA3viHAXbcH4EH9bW8JB3b+/CxO74Ypuf45rwwBR2tHHwfvduBdDx1/H+6AiL24B4KEQ/7z1sL77gDnyfFYsb30lhtQevMN4B3vbWUP98Dp6ZCK7bwjnmkYoM/9+D1obFjG0U9Rr9SAK0gajjjAXOIIgmQO0BwU+nYhTjLRFSUFLzRPiXJZHE5fh0xXpUUQaTmPxgIz1097sWQxudtasNNn6FkWB1yE3d1y90lqMwK/sx98NqrRkUHam4afL9DK/0mSi7HlFgDdq8MyOymagJsIK1ifbUKk+smPukA5L02zGfaDXAOYUp5AQACOlrRhJlVkxAYYiQAM0kbzV9JCWhyOqGJqk0Aj4SFwiA96CnRCELwKMSKceSlN8g8MMBgn1BIYaFdnemjyHxBvmsX+V6to6gFsaiexBRUD7mEkYgZ4xuT0ZlELJmSi0WBAmufTIkq3JPEzs3B6M/CFBbUWgRg/Iv3VXFmaXjIOr1GhZxCoFTTpd7rWPl9eSfRACIHeZhUrai9DFyqsBvlR/2muWYYgmgALo3DoISgR7j9kyLvS+lxTOkhzyoL0S3szoF+bBlSqttNBcJlT1YWteCgiCoOew2rtKuu5IZBxJM0FapGwuUjqjo2BNNuakRDS6rUmiNJBml0O6ayO0CSvS3Yf5wGLUutQBzGkr0BWVXGAQPhRAg8samx9Wha8+yxfaPVV08KIHqcYwHGikZYlNAbs2ftS7G7ndMbrDZD8ig6b2rsbAYSGWFwDA1ugK3AF6cAf+1vx+/mX8ED1MPh/XBj057Gcd7dfLPA/oiVkmlwX0kJaZkQhHRg77IJB/TYYz6Dy9R3/jLWJbXjpGz+KrS/eDZv77aCL5TTZC67zMd3rozbioriihiPDOexbNYOplSXMdLgoDwdY+z4F8wMNvNi3D6YJ/FrqKrybABIG3TUtwLbVryJnViSwx2A7Lyi0NwZwoSb0Ivre5CGAgn07r0Xz8BEoBIxz2KVUgsDr6PSXsO3bN2K+0Ev8h2Q6egascGGsd5GhRSo9I7BQ7MGTX3sbtPFHYNReRbssnpq8lMUBg5x8RisnyjvVsiG+wE7iX1SRZBN+E/EY5Hmt3GZyxHoVPYW04RA/8vD4BHkQ3YXeihlIUg8RRJiB0ASYgSTVK4X+Szxje3f7T60aQFRVaHG2iRzJlDLCaZrbGm/ZOzB0OKfvcG8D7hc4HnM651PaQsjb/Zh1PtIT4c1Vg9JuHJuR5vk0BjC8Wg2GXkMsWSZZ7jpk9SR8Q6CHwGyHxgD1kEDUtbGi6wACIw1PC8ek09Pmlt4g+XuxP7sZTGe/zkBnAzy20FqWtEdJumZLvlXv8aTGTlTKjjTPph0+IqC6NaztOoJC1AZT53UdMGvY0rOTxuOKXOR/5lkF1SqQoTZ406oxJLoqiA346IyWcMuNYZs5Pk68iuYgQ+l5OEkVdY/GUGsjrnv1JUxUuuDQ+FhNurht+BW8Y+WjuDHzHHzbR2X5m1AdvgNO/SD46o0Os3FZ1NR0E6O8waCVuiW6aEmgG/UuA8XOKsxDE3L3bCtYGjm9HwmzBIXmiWXPhD4atolANWU4aIGLLZGJ59k4RZlze6TbzoSbThwCD9ljWetYmZwX1h378bzpCZK3FK+Jd5ZfhXeO87eZ/nKrdUYWW1M9WGEfAnwX3y7kz5nlnkYTXy5SIzknFbWhNMDHX8RjZxK2d7nz8S+EBZ9J0PKZocVFHr/sZAX8tfabqc20v6asU786qPpQSKYZMSg/RYDH+r8jXnb0dg8r3+BTP20ltITBX9b+DckmDKJ/qebjj4oefjPv4XcLPnjn+UEnwOKr/d7Y7221CqI7wnZ8da1KQLiD/bvGkfnCE4i9uA/p1mamvZkU7J4sNnREUbpvC9xsEgy6X/vIS9jcrHNS4COopGUJ7ZRFORIghDeAOJlapIRKoop4fB4W4QMctT23qdy6SW6a4nkZz88aG5ajU6siWimjMV1DpcrUwKqVkONJJX8L45+ozW4LA86hc18orXsv+Nx14TUQpb6Q2fF3uFDgvd13JHB/WrtvdK5HvCagqw1UaLrmkRzJdZl4ei8tvmdg5Q35xbVaqMBtAb96QZGl1Yuh6TWnofoWqEmgnLLAMhQTbHETSIkF6FccRrUapWauYNkgc0GgfX57VHQx6SmK22+M2i/zRFauCrCsZnqguRHxwVOoQ8fqVb6s29PbfZPkp+KVjuTn/AekyZ26xFfCWK9f57Ky/MD/8cYyAi/gM/jOX8Gf7agZHs+Ylp/RoD7EpahNcl36SHTM4HfLx/HlyaMkC/po9vgcfIriDbJmCugfPAaBACOdr2Co41G4+2twp1WA57bNKWD6EFDoRi3ybhoPO9DcK/BsIQnQgvRwxwhcowsMuHPi2fkEthLfHCTAHZqGA8Z1WFucgSgsQG6eYaLvg4oowH/sNr7n6hdpzLqQx/2xd95NmEEZ//q1x85JrtEcacVwH46OTaO/lzECYHySQK9WLNf1wH+OSmwGP/3++3Dd5rVIp+JSqST3WaaBZDzaor78BlX75c/kBzmHphkutZnNcEB7PXXBwj4PcpwGH4vBptcS9tnOykSaxNiYBNebKKB91YJJaY20GLGGmHS7aI1Y0nWqVgj2Ys5/HmPegzjmfQXj3rexEOxAMTgIBqcXU7fL0R4oF4e17UPEdGZJIDIcHe87JlANZlDWAxxQ4/g7Ao1fsdbCV1QMZOJYEZ3Fi83jMuqvZ65CFwHt7OCJd5E6yCrPQEfDxcLcKHY4hzHhDKJKwnHRG2UydF8dMtRCq9qbPZ70jx1RaVVWlXbWeEKoEphRp1Ve0MjW45qowEbRznIwotEcmvlA2v8tacr8FHKROHwIdFYUKWwY+skS8m7UBVpIVc0A6eWAWwGOfllBI3eS5kJtDHi7Ryuoz9PE9GAK89uFjMqA2LL7fXl8jPQ4i2av7QeDnR31Ccy8oGBZI2Q7r9phhI6OAPzHn6cP6mEokN8d0g/7+2DQREut1CDsUMBo01S3rEd1yxVt5xkmT5J5x3tble++BqW3bJGK7Y31I2AaPx45Iy57sMCqVxVEPYFGEWgso8qNlwGrjkbfUdhOlfqdgEJ1xMIvLuPltY6FUedDQOF8WbUXS7wWuL6Yvr1b70LTYuEq/ZIBPRe+E5lWMovmv/9DNH/pf6D5c78L5wO/LM9GFcMr5SShgwC3memwzUj6i9AqC01ofh2mngKofzZGovASJllNkl9CwB18+QpUrYdtmDXHgUgVKoHzVtKQk9OI0gWzQwYjUltB3G8AgkCAWsrH6BYXgZ0jN6UhaNCunuSbYYxQV22qb5fyJ8TAUwswKgHms3cjVvGg+zXMzpQwd5j4Wl7groyK65bfhETfWyCSm6jMnXDdKhQY4LKEKZ5bjyAUmhvBHHB9PzzigVrTojZGvLxZhzZD/pSE3ZeGWlbg+wKFBU0uMpL3KbdDzyk9UgOguRw66lPocqep7B1QIhk4NJFqbtggSXzhyP4VEENhJT1J48UyMpAYCdhAfUEal1Rb2CVkepwHg+7S0dKUBoEh9J5IFkYpSCOg543kBJjO6gxwsRcvzFrUJviLKE5jcXyNFmfYffoOd88Jy6eaock0l0oxcMtp1ZDBsL4cf9xxGz6UuALLtSTeHB3BFbrGwTjE5ySQLejqQ1ToiJGqBg4t6Dg4/eIz03mSz0D3xYLcp6fVdtddX1pbcxrEEqp0xtGPWgAAEABJREFUVythnaitV1FXbVm2+6jsv56+Cvx/Lh/vug0fTW6U9Ber8djPcfh5eBHhH5M7uSmgke/EbPExPDP5STSn/wyR/JdQ2B/D1kd/GnOlfjQ1H533O3jLT0exepWJjp4IBMkQa2+I4i0/HkPtHdN47u49eOqNr2C+J0DdimL5Zg1fjG3n7PDurmGsMzOhPb4S/DxG0sV3hrfhu3Nz+G9zW8FgO5fvDztvBNc1vw9zUwORK3w4vo5tT7wB5tjXZBqXUovnvozdz2zCxPQwbB245SM67v/FCO75YAS3vyeC6+41cd2HVegZ4g2lDjz29XdDm3yKeGD4bL5KfPUSFYiHZPknfzSur6ehePFOUM4ioAVDNkXQZAMdmUCavKjK5eiIFKGR5Lp1sopc88y2LImX0PRwzQk2Uog4lLnvI0dNVHFDPu4r4TN+ux7gsUaAL86WUabwVYkoWK0gk5M9VK6xcYayh7pP+LmtsfeEB1l8aktkQCk32LgkSqnWZTp+IiLNC9EcWghgfs0bcpQLAP+naV7q0+rwFX274aomYK2GYQ4jZ6Zw9cizVEeCxkQfUaWBRDIPw+iVxRgtVfHw5Dw+d2wKfz85gQPlOl6YKuKPdx3D4jpsv8OBiAmVACeO7MZ8uLw7gRzDfvhsE/WwPahW+CKdc7x7BlXqpSaN6WX0ZcYwr0XALgcBCgkgaVYxaB0lIAqYoeeLxYB7biggMf5dQAmgkCzBR0iMdBflzk0qBlSngrVDCyhkLHIGsLxuiPGjGDlM471K/QZFBD2rMJRdIIBdR3XOAh9JIWixq+5QJhTLjITzPLJe8nvX5wLs+yca10nOaCeeECOApmDqiqr0YhnPcxoo0kJNk8BVgzqFpdgQwkczUKG1FueZ2DOoP5gJBIoBlml4py77s9JL42DwkWm8FojYNkfsUN5ob5Rhej5KpEZoxtrCIayd2YW6kmTvsyrfA2bDZM5K83oCutQI+EuuV1IxxN0yjlTyOGS7SyY5YTv42+lpPJ2bwaF62N+WJDyPZ5zaGO+wZrJXXlXYWFLtmquhHrhIdDngr7WZSG2W2UDJTaJI3UGlxdwbTYH/O63gXVEFUZJ5J3Ufnzc9fLPuS9rTNZ5vfLzkgwF6/o+sGyj+ALVbpsv5AXjn+V8Qw/utvC/TIDZIfNAneSHAjcRvRx7bLuU9BrP77tkMNxnD3o6M9OOveniuxRuVXlgTtrlNhkBAsuFi0P2e53YCro9X7ICzXVKpJL9xQJAAAp36vDfM0jAS00nocBAxKghiPUwCtdVe3Y4kfMI4WDnE33iOx3O9fq1EMi8B7q+eFEL5zPGivQI+zdFqxSPwGiH/lwmeRfPNJCor7kXpivfCSQzKts/Ae+rVz5zzmBnuM9x3PCOJRu/VZ6TOfcYMUlBJBip326C1H3A9GsdnYPhJGM0Yolv3IfXg87A7wvfKcytOSGnVk9ecIkA8ioA8x1JUX2Ry206P5ckGzNBUxXVUmJ4P0xLgqxHMsgEL4dxBOhZp7XbKXnY0AMdK2YDWknfZ/0KVFwtQuNoBredBqwqkthkQS3e1C03yFDqWH/iLkne9w5dflzAvZ0B9zz6B9kLL4gg8nrF7ZIj1UJWmA2nxuo9gFFFcl+/GEbeExcfJSIKWVo/fgs3rv4V1g0/g2o2fg1/1UcNGOO/8OTQ//Jvya27fmYPITQN7GyiXboa7p4C9tCASdPSCF/xYzsl0FcF12zUXlwslHYNhxUwmNiJVttGZm0Se+E8r2x8ap9VANGLh137uvXjmpV2nhQC5Qhl85AwfLfP1bz+Lzz7wKG674UqkEjEyN+F//v2XwSD78YlZfOnBJ/HG26+Dogj86NvfgJ/74NtOqCtWjeCaTaul/xmZXCYP5TKl+8NkWzXgmsPSpjlj0ny9mtvabaPlSBikxAI9nOyS9cQdFV3S3gjmpMmaHYRM2hLd7ISJNPhq+gU2llQVf0L6q4gRsGvDRgFF/wD4/OMSaJUPJy+vNRFRzwEC9tBkdnRgFYGmBm484uJqW0VVz8ETAWZoZXtM9TAZmcLLzR34Vi0Ezhlw4InsyZwAdu8fHsLPHSsi1rDx1Nw+THthU15wjsqyRvvDGOVRAbsCuaLZGPClZ4xA9+QrOnhg082QISsBMXESdphAqD5KNo1mJOzEonnwnzfYlAaH/VtRE/UG6pqOjNtEw86cmLxy+bis499hdg/0Xy+w6i0CqdUBPBpYRx9UwGA8051PMTjPO+N5N7uzneqhCdRIwNg7PI3+99novz2AET9fKoA90gMtoyGtLkCtNVD7roJeFoqC4LyffHKZCwcAlSSWeKQuBT3e7bDwU/dhsWpsIGHw/EV5zRQvkCB5RVFBygUK6aNArAQ97tHzCwSBj9nMXlg+cEVRpWciy2vO6fwRvdYkXMuXztjZtFRsLR82XqfFOxbTuB0J6eS0pOUcWmRURfyABrUaIHZIO5WS+sqpHgAD7pFIgKHiy+A/OcNruLRqyLd0IwWqZkwfCtDo0mVKRikKmDRLIZeqxmlQTcHXDeRTBEiTn5EABP0yYgP4arfV+jzQo94CXSTgmAEK1HSER3UUaESdhFII43OcxUo0VVCThW3koRCX8WvdaPZuQFxJQhMOrM7j2EkTm4MVHxWa2OuaSmBwP1RzEHqxC+teuANXbH2DrENrgsJISNULClixsM31y0qrCPBltfk4ZuEvy8JWSfgmYV1xdShzUzQpCSfbjU4DXp7qxFOpVAHaoDWn0VZePJDWIEIAOyU/XD6AbteAoifgJeIo33MNvVcKICpfDdNtL6KSF6qTQvIPLQ5E+9gHaOZC81LqFeLXnF4q3FzH1hOK66ihVxAoAg4MqDQEWh41gSygGifILsqygoT5/tvP7K/ttsL8h1U7UbcipFVr1ad0XCKNj4Wp0TgUEUnwsVubDR1vjg7j9ztuxIcSa7Gp9YyvOmEZ2m1/uL3726E2fFpZvlQ9LH3ui1Ejl7bXrzGQxq0pWqXKp+TSnSbpQLkSIKrTZKYel5PEWsRBp2rhg1T2a81uMBgiCV+jFhW6jPnfc1vxydJuHErOox5xYTcTeNt8GWvGFBx68io8/NmfxLNPvxlNX8NoZwnZj1ZwzbXEK2RsoEm8nK26TuWlNH8tfRV4xyGD5I+ueREH0uP4w50HkRN1rIkl8RPJtUx+QvHz3Bjrgpes47vD23Gk0JDx/6DjJnAZ15sZScsLA5vfosFKKVgodOHQ1tXg3eW4yEtvHIJV2wrVnYUgkK8dPVZ8EEde6MHBfVfCoz6x5t1AqrvVNtpEZMaSQoLuostHuZzFow+8H425PBTmeS0QnMhe9/3Y4wp451yGHv/KK8/sU4EwZR6KR4IE2eSuLzLHeZcxmYm4RovWAQxHOQW4paBz3u2+76kxZBvUB1wHdcpeofriiK7eTWNygK+T5wM1H5+xaYzO9mAq0wU+fiESDceQw7SQz/SnK6cvK+UO9reX9bJxivJa43EbJD8l8DU61BZg7nakLioFp5eYIcVgAJaMc96z0x6NZy76M2NQzBQ8oxte/DqYQkU0VYUaL0H4PjqUIrnL0MwR8GLbnx8Yx0OTC3iRZP1D5Tr8IIAVqMg7Dv5y/xi+fHxW5jtOMipbBmImhMs2gIZYqdgVo1E06qtsBR89k4iGRFUaP6XnEtr4hIDi1HBlz0Hk4z7NHRS8ZNyMgkhhTgOok2BD6gDgh7zpnhsL6Bv7AslJCzR+aWjGRiTIzKD7msES7r0nwL3LnkEytoAyAf4K8YahRx6FUs7RgrqBUX05am4RtZ4eFNe9D/U6tQWSXVHKQzhzqHsNzGpD6NQsyvzS340CIEqC5F8f1SmB9pVQllNfiaHRoaKSbiCy/TD2PCSw9S8NPPvnDUw9piItSqAXiBKP8632BLp8kwQjMu3sKtIBa2a7NFnTyuE81cmuZKdULvE6tqxrTLGBMZe5P2geCAncCnofH5l5jOrCxL7nJnE2HIlBsoeemsfWoztQKodpyAQvsXZ7pA85Q8WCUZMpPztx5vEiSrOEr0/S2BiE7eSlSlnSvlatvcOa+d9Su9z31UrYNVWXyf97IuZxgssgqP14RgrzJRMz6QCaBmwywvd8lyXwMQLe74uEbl7c+DgB6wyYy4RIOx1s/9mEgg/GFPxfNOb8cUbFb6VUcHwG4GvUTzmN38x7YJOi470v74JarcHNJlG7aiWymoJUKooS8bw9b7wBDMIzwL39xk2o6TqyiiB+wDEheWIbdF9XKCA1kwP/NxeXKaQ4VVdCto8gCXgRapvoQK6yGuWFAZhqE8uzh6Hwwh9Fa/M/BtrJecrNc730TSSECgX5rTOIP0VgP1FsvjKgMT+N2dp64mtAk0B3/oLAyB+Wu9YTB74GVqI1/lCUE7eTHATvdmfg3aWFJtUugXnECYJFFo7f3t1eH7hxUcipVi+9CgnPoYoSeHnZTci/4QaU33AtasMmGpEifL8BQZ3FEwXJEzWaD0hMoihkQkFtAQrNq4qEW8z2uujSGthsJqEtFMFHSU0LQ9JlTeLjrXqrtzAfS+mWYadr1PTA4zP7M+DuewFStBjaHkPZ/2IUnx5QutKBZ4IWVQGtolxM9Aui5QUt3vH+7nf4WLkikDIG//nr6ZFnWl+7Dg6c5C2VGZ/mdEAtUUPcTaDHjaAkbHxeO3h6dCh7t0I88CAS7l5s3vh56GmB0tp/D+dHPgp/cAVAc033nveisWkEQlFh7p4AH506a+qodHSiw0qhSw1lCTNrga94OTSnRRlcdu7gE903YnVhWu5yZ5ofqqVr4N33345sOhyrFlP8P3/1edzzvl/H237it+Ufp/6Hn38fPviuN0qS3/nVn0COAPnr7/t53Pfjv4lY1MLv/OqHZNi/Be3S945/C0/1b6gMvpqCq/WQ3NOA3gyFmddTPKcnFKjbabR317TdbFroYgN8vIq0kFYNJkkHTQhDJNogAZU9bBSw1OXDhocqFAI2RtT7sUx9B/rEXUgpayR5o7WSKh2kuRcI3PWusXA0Okh1YeLuo02sNwJMWQG2GyVMqPvQSaPyOj0L3kX20eQGCThQ8qfcXcTUeJd7c9P1+PCxPAmkOeQJguFjZcokVPBzG3GAd2BzxPltgg1UV7gobXLl4KCTEJverqOvtds6UdYwa/iSLk5PbXsRaY+YBfjEv91ymIb0/DegMeBOxQTN+enJDcTjJ8s3+YQCBomivUD3lZDXAIHjHRtJ0LGB0W8JMIgtA86i5XYLHPmygto0SNh3EdFqMEkgfOLt43jgyh34zfpTeKh2/CyxAT6799mZKewioYF3Q9jD3TCSAXoaR8FAfsd+RcZ9wQ7rXDqW0Bg85GfpTCyA8BMsZFJYSghbHPWZZoDfyvtg4ZQn1GcTABfHYTvTPd/08amyj/9R9PG7BR+/lPOk4l0im3MaVJoozA/shYjVoCsxGj8j0l5KzcCsexipKrjcxx1IYEAAABAASURBVMrw8/OOExbWotvPFBxw2qXOF6WPH4tIc7HG74YVp6XmSouDTtiVhkBqm44of8qdq0CfmoUxWwUDoDjHpQythGmA2uiU3G1mk+x5DvIlg9ypKemvGynYuoeJ1Y9hukEJkbBtzLqAlZbhmkqNXaio0qKZk5oFzCZURUdCLENE6ZI0emsXRzMH6IghKzZBJaHVjgHlbBkKBOB3Ud9xwII6Tru0ahEeTbYdxYFCpLC7kU5SPZjD4J1J2a4J5Pt87I15OFB8HvnZf4BXeAmeO4ZKZx6+6lKxYrLeYrTol6Y6Tb6qgRUvZESPq/KPiKxxVeasEO81ED6fH5uDuiENT5jQalEo+16mfqkDqi4nvno9AiXQYSuB7LPcx7Doau9wDxLd0PQAPWoDUVjwU2n5lQe3ARb4ZZRm2F68bEI6Wau0jpNhnhrJsg/gXGKeWCVQn8vNwn+sPwgzWaQb0z7KxIfqQkPDj0GvCxmaWHYmrQx4nZrVfs7KyYQ84i3sUqkO2bxUio9D4V3SOU+DpZjY3Jp0Y9E1SJNhdo5FwvcSJDLsxDI9dDPAKz1aGu9u58+QY0IHgxAt77Mbfu3sYYtC6gTCsdO3TTYQi2vSdGghwKfFoAAKfGqHvu6Bx2oZeAm09nMyMN6pRMDyQU+vIVMe//aHcfSRn8LkvltRqnWgbDl4ce0EJgc9rHTD/i8JScvlW+1m0Zj50dRGvCu2Eq7u4Km+Xfh2cxSmp+MjYjPFOPP+aGoD1rcmA5tnVoLjt6muM8PJLn9KnIir6LvPoyACkQkYD2Z2QfHC/kWe57215nHEF74KY+5ppOb/HpmZjyM199dILHwOs9sC7Hr5ZnB9993rY+WasC6WSjRGoPuWD2kIejzUGgnMT/YhcByauKeWIr9ovx07Bdo7iu9adG77KQlRu17sznaEroXW+9AiceLLPnQbeGhiIQw8jx5QW3xofA521Jb1oHOb9D3iD8T/qZ4DhXicmsKrNGRwUkkC40W9hkBRUNR08PELj+lh/zlYrDPJksom+YUD3J40G6coHo/ZQz0LYM9hF6uU1m57f4kx+1xptctptEDvs9HaVB+z43WqMw/JjhyiRg8CYVF76EZMT6FimsgOhvOVkdQxgLq6ag7h1WIITPKu9XcMdeOD63uxKh7FDbEk3tzfIbN7cjYvgfdXWwv9/RELaguIcWMhr26bw6ol49Q8D1okBlOzYTedJUFbLvOhwz4B7lWs796LIjX3Jo1hWzKbUNGG4Cga+E8Er+g8hi1d2/GGW+oYnv8aGDzzai6quSiq694KdxGgNhgZw9r4Xjg0rjTNCPLlDKL5GVmmbCKJSHSjtFdKz8NNDMBv8Vwr/wL83IMyzNOHEQlZinRfSm1+zIegtOnG3D7/lKSjogs+LWbkhupQqzW4rxRkuF9XsILmRQm9QjJzgIl5HV7uZNsOVHqZRGlnVsEzkiRPzEEvjZMPvea5vdK00ycBd6bnOhtxS7Rw0sCkJ0nwQDUszx3zL6PTKcMOLKTKuyG/cnEAjdqBcYwmEESeywOPPuYhsexZJPsPodAM5ToKuuT37ZEBxISOnNlEkyrvFcRQnXrllHyeG9+Fg4EBi4UNCtlaqdBC7Mk6Iq+Lvtu7h0/f5c5frn3ieCinb+iMYsiKyrS12pw0vWgnJqqArQZI0bjfoUhvqUXoxb8louCXCUiP0rMwoP2HRR91kh+9rTo+QfOcvB+AAfUPxhdFpNgcd1AFOP7/RQA8p3GXpYDToWDcfmwCfeMzYNmvfPc10mT/NTrrwN7OjPxqmAHug61FFpZLJvxHMeU/AQdVGad03xZ4sSiuyBchqO8edMJ2EaZyUlca9DDstEjTn0PTy+KRydtAj4yru15A1qzDjXVLEDpwbUyvKMI1lk4rvSwGpzOFOS8uj1SKvbgPDMwyqJlvbCCZWyB/8AEc3/ZxTOz5Jxw/9hCOzL2M8bntiO78pxPtnUpyyu0Q8F5e/SOyXzDf4ONlTiEghzW9TfIUJzGIZtcG8ln6tqkP6baATkC5nyigYnTAHumGndUwjQHMlnrRJBxCn86jLZ/rBLarLV7p16g+hY/xa21Usx7ujE5gubETU4m9yPWVsdBIwnc09KVCntxEAYzbKDCgI4azXTw+67pAnBsIESnER1vdgFwXfzPo7sXD9yRavOHiU7mwGJtpUYUpD9NctFJlW6h4bGD5w6BnyXYE0pO/9KlMB7T4EmC8s4Ffq2/GkBbHrmSOeNdhajthf2egXf+HP4L+6BeBfAFuNQa/sw+1lR+A271JpmXDk3GaZDorBuF3D0GxaNGHQvd0JBGksljf2mhBXkgOq2wguxCX5svNWQwPSiv2iOuwmfilqJVCj/+d9MtY1u9+4c9wx00n5W3T0PHUVz4B9m9ny/bdj/8D2uqbn/kj/PT73wJVDXnfYF8Xvvip/4bHvvjnMu7f/dlvoTObakc/xfzTj/0Cfv2j7zvF73I7wlJe7lx+wNP3zGFZA6o3I83Xo7WB7XYa7d01bTebltLNBhqYlaaD6hmMmJkyK2bQrCThIq3RWik1EE4wmDaidCEuloGvRhAKd2xnFVDncLNJOViqZwHumI7Pu5vMDiDSjGDDuIN5WuH/k65uEhhmcT2Ban/b/Qbwee28i4wFJ45zulpnZKXX7pUrsB4kvLgOmuVxTDT7UIaGqhcKN9nWubyVKSHpWXPSPorX2LA7fBIegfhBDRFbgUokjqNI5lytu/D1DhCrRiyao8E7IBAO37eLxlxZ1nYBxNgRHEeEnALxcjiwpum5xt0KDuxqSMCNB9B+mvgS0Ym75wYfnVcH0j35lALevW5XpPMUbXabwPTzVCHky/RXvLWKeNbGNNXZw+ok+QIMeny6vA98du3eZl76scaf+rPfC/unMbIrjq7tFhhMaq4ahEJgaG9iCjTmYRmBa828gnOdY+bZNP4R8M/pdlgLmKDV+C+mUuAzCdlvKfXNuo/PV33KMwALpzyh/ljBw+8WfDxQC8DhDMK/0PTRVpzef6VwpuM/K+I/M+G8+HNMtK4NVQVdJDAKswAnXoBGoKoCHQr99ISDWqQAVS/I3QKVsoJPEWjP+XEeO+1AgqK4hFft6tUyNXOJ8ztlwCJNa/25qtOXWeR70upmktKhlhvSXKzpBQXJnTqMWRva3Cy8/DPwnCNQKnXEDgY4IUQvjtSyCxJClJEViGl1ZKtHMDMtWiEXbjSLDWhaApoWQSPWhGM1MBPbBd8yINQUlI5VMjE9skaaRVqYCYjbqZYLlVCCtHJSILZCtgFuV6zSymp+e/BNBfWkDXg16v8CgZOB4ra24+DkpdZ8EL4D2yxC0KN0L5SxfM+TsKxlUGgkTcWPYJb6U0UDEo1JWNRxA6WOenwOh698EXtvfBxF6oOVNS74DEGXwAcnFUhexO7asCczM6hfSAtppkiTDjRRgHflADxabNTqFtS9L0P1VQSaiRlaBDLdCPSICpGEvHKto1mkgzTeWeiZZLHiAPFZssm79CN3og0YafSu2TNAjQ0EpiFN1toLdDFa1zA7Qh7SyHHIpVMnQP3wVZ6SsE5lc0UV/DVUAwb0QEU2JyRNonXEjXRcQk1pPb5TDvPhpO2W3Uic9GP/16vmvAa8QMAXFqLUuPiz8HaaTtNFQJNqnjxnFIEFLYrxGI1PybA/DzNDJeK99qkvpL27/d7oMKWpE8XZb6u+HdnZT0BvHDg7UStkvNqQtowd9pFYIqyoJnUhg1oqB9Zi5CBLVNFIvzT3LTTBudMaAAPtfDQNywfp5YBPPb1cT9KEVoG/1kHv+xzYH55G10gCy8q9YLBncQn4s2R2x+IBGycUn9H+vuRK6fapvq8vrMRVI5Z0n65FhY4/6r0BPzF3M9aNr8JYa0GK6YaJX7HJix1srmQgfIULl1aMt379FkQqz7D3BSl1djse/txP4Buf/hk8/JmfwtNffRf2PHE1jj7bi63PvIHajIqe2wJceb21ZHq8I/jhRxQ8/oTA/v06IlcaqEYD6HoF1bxGcc7dLojgvLftQP6BLBPy2djxGNvOVL4SllH4BRmYJdbGE2TeFVqhyXM2WaNFQx8ajbN5Wgx4sbVQLInPoj05V8TD0zl8aWgMlSigNQ2SlVw0iJdzFF+YqNNrfqFJGnnUZmexrLiAj6oN/GxcAfcnS1XgGBY4T95pTWRn3JVbNiH/vrvgdqTOCGMPNxsy3mkCuv/L83twoEAPxAGvUaknjlRIXFQKTl+HpNepTqTlLBqPxYpbQ1/2OEDjgmKF8gSTG4lbUFejWNZ9AJm+cdy08gkaZywEehcBg2Gfv57Arjt6MuAjeTSFYwH39nfiF9cOIaPrOEQLBrsKNBhSUNbQoYbRaNwO3wOPRxSErBq2v4laE4HRibhJY6vvgNsDhy9Wx6moLgUMxKehpkpoqgbmzQ0Y0i0oVGamzUWpMIqLW7JPYJ39sASTfRov6vM67FUBbG1U7mRlAFm1S0ju+wJHQzniwBcK0kY4v2FP3tXYn9iEgkih7FG5iDcqSQPqqgaKwUuYcYt4Rd2IIBKC8rgMV3UqrC9OemHMZ+OEass286scVAMXvc4kDCvAXW+YRL+xAEtr0jN58DwVbs4By2wcmWUGNnmHdXuHLgOL7FbtIgLVgkPAI9O0lRftQjSwMdKcl7I1H83EcnLUa+I9s09IMluJodcYQ7NQlqB75Nk9SDy2HaPP5PHtRxWomQPQTDukRQGX87rW6oIibFT0UJZ5OF8APx/nKcaexYPoRKBoeH93D1ZESSaigL3zx0h/7TfvHo7FgGoV4D95ZL7IqX2yuBtOQaO5s45N/RH2kqpdHt9K4VDYDbA6ehAz3tMyfLG2mgDS30wpNE8WYID9vwsPf5x0UCLAdlAI/EpSQQs/XRztFDun8a6owMfSCj7UrOIjr+6T4XxOelsGZI9VGuvA4uNhDhKPZ99V2iyaQY546gzNxx5BMThI/VaHS3OLawsFCNtF+6hQpl+s1KYInUYTauMYni83UXKz6IxOY2XnLhrFBcniSdlOc30VTK8pU108F8Y5Tc9kA+JHKkZTQzLE2n1Uxlu1AphuXIWKE2Igec3CPiuBB7OD+Ez3Kuy0YjhWG4e1919gTW+XcU/XfDOJdr/g42Xa74npBLX3yPQOthLNTdI8m8Z9KBrQ84gmkJlF+bjA5JMCuw7fj7HKHZijMjplAf3IjJwDcDoWf/lK5MwffZKz3LiLespDBRoW3Cii8FHM5jC5toAKLS77jo54UuWoaGM2MdEv3WfTeHz+wPs8tDe1UFWejfSC/Xkuw8Rq6wtQtl8OxWXnRRVOe/Eudx4b2C+TBmi4YSvm5m0oxDJ1s4Y7elfgyloHYkKD3yuDJXahPfoFCbQr5Tx4MdW55z0ovflPURj5j2jErg0JSf/X8iHw/wT9Q2kvHMJaAhJclMFr4F/7Rhy+6TaiAEa0UAZgh6/1IN0xB0EoUoaFUBERAAAQAElEQVRA9z0kmw8NBaBoWPAy6E0NUNmocEz8Q3XJa6C7M41s+uJkp0teiCUSVJbw+6HXJa4BR+2SKepNkhil7bVrfjwiV5PbKbC7bW+bOmIwQJwHkEy4FoQg6emMuE1jB0WiPPWuY056mEqYjnSQZiINhVL3UCXWHwpPaF3tsqjlRsvnTIMZprUqg6KRRO+8gXWjZTxYHUVc0bHRyJ4ZYQmfkdaElj/Bz1x1B5ZVHSjFSUzZQlLP+rNwqHwWJRcl5uqS3N8GjJiAB7PyehfVFR470UtoWaapoOiFwq1PxdcjERC3hCCOTXNvLAVM43tweWUFc48bKD9lIHhBR+RVH8aXdxLouxbDjTjWzmaxsaFi+XENzSddjB0vyFL1307MPZQjpbutdV8ToPfGQB7BwLvX+bgYPledAUh+Rgbh51tntDMd05v5HE3sgScyJAlQQu+KrQSDHjECHRhU+P3CS/hkaRd+Ze4pMnejY8rE/XMj0KiluA0fyjEBpy8r260l6lh9zTxWBALRPAlHCwLjHiW6xN3e3S7foV4iQR8Y7coSUB7IHeg8kV4cjcH09qeS/BnlB2MCN5iUjxBg8PwxKguHMwj/mWqAtuLJOAuxPPnmMxB/nOL9VkrFx9IqPpEN1X8gwSZbA+Z7D0CJO9DVCD2dAQvd0DSyWzYqyUnEm8AwCVE8GeH8OI9PVXx8jEB/Lt/i8r4eO/e15qoBmUT0HLvceZIlSPL34lEpGMsIp2kOCcvspeZO5QPmjILkdgXmaB5KbgJu7RU0V3aguobS8kvQpyoktHLMs6tgYCVMM0BfeQ+Oh5uozk58WgjNrWGWJqEqJoktAo1IDUHgoxKfRUMxIIQJ0+uF85P/FarWKWnyCWpUQQB6JUiK1dBBMyCcvJgnsKtJ7U6BAQ1xGa846EO4VSgE5CquClEN+R/TsmJBW9g0eQ0UCJShCMCoWVB06meNCKyST7hFEzFqAwzodTWOyNQDK4parwIftmwrMHUJtjPoXrzGAX+OybyI3fURDyy4ChfQCWDmfGMifMdVfwLBMupD2Q4IAu4UyhvUhypuEk6iCtOlsigastf7HA2Fg+IMnuXFKUxRACstaWqrOuEQSMIOzlOltst2ODVpuJmQgVRpcYz5A+O6LKSrBiVBvJWJGjnWL41q8+g4Caacood2gYDIqIqGUaH37mLOS0Kld2Q4AL9PIywmR7mkKtIZJsd8MbThRJ1qiaDtdUnMUaeEIg00MZHAKg2IUPvihBuej9955RD+Zv8YO8G7z4TbxP5UD4Jk+B671KgMm/Pq0mSNF0GZN8eEjvti4YI/+59NqfaUDLLqu6R5Lo2PleDwwLbYQCyhS5OBBhM0eJLLNqgRk9mpREi/NPdyPYmfTW0AA+3tFIevVxC/to7Bd3q44xc13PujUVx5RRTv71mJOzKh3FWttiqzFalKgAhb46eyBvbC/dpK3D65EXdPbMat/gjakzcZeJqmEie4bUWYyOEjJwN5V39bRtlrEz+ioFveGiGwL8B8oQe5XTUo3qm8lkjOuK3qy9j7xDKUakk0fQuFWhYTM8uxZ8+12LH9Vti+juSVAa68izrkGbFDjxdeEnLn+fFxgT2Erxw5oqHYoUHXm7Dp/an2RTLlMNlT9PZkd3gwQG/vOfqFErYXpXWGOyfS2x3ST08Dvh4ylX4U8cHoo1hf/HPo9XMvALVB3Yph42tXFjhJgMaIBY94HblcYxgHnYBkB8qnXgcadUQJYL+P5JErDYGrSBEZfJb3yHKwHPI+sp56E8P3Y2H5Tw0IXYEe9oGHj82goqn4fOtPKsPQi9N5vG7vludx/mJiM72bTRLw5dD4fHbmPDMTwCOmPpQZhadH4VmrT2TjmsMwSWZaq43h5uxWpBKUjtFPw42Fw636GYiaJ+i9llWhhRIG4H9z4zJs6UyeCF9jhPypTccBvkXvgywjrXPc+ZgqRU1Su3QQ0M9pLZAQyYm7QGOi6tawPDOOhRZbSUfDcg9baexTVqMkVPAxcRzJKBxGoFooD9yN2nJgelUUC8XHUatsPQG6Mx20Bs1HIhDCQmLVnWDghf2DgRXoUIjnx29hJ7zid2FfUcT48jimRQRfM+6Dm74PV0dDPiyJLrG2MOqdSNGdC1AthfXGnjrJNha64UVMFKMN9HlTWLGmgM5Reu4YzdMyNQg1QIUGbN8NoJap/QPwzCTpkH8SGZl4AWo9D2vmFaT2fI5A6SIR2PLoDT5SI7XrMzDndsONdss43U1qC2R7qB6W443eNDqbeVT9FKaVK9BJXbjPOI7KgksySAUlAuCUFw/DpUWUwbUHkEyG8ap2q69SWpfjbn9l5GkL1L7jeCYyBPvAg+CFhYeoDVdVE8vTvbjCULAuEZdFeKlSoecvSftr1dq73JnXPvAVBZ99ZR48DkdnOjBIAlSawLp22lot3BDnRjpxtEb1Inz0mLOoYlLO29t0bbOD2iID6zynqVEfmad32+UI/OcJQ8oL9WAWc/7LYBDcJ3mzHe90M0qLmW96ajt03wMfGWOP9JxCslpXpHuy1fT4VfPmpagQ6KT65ECV2h7nseBvx6RHfarXwtpyBaLpYvEZ/0zbVgrxB2lvzmCymMT2UgKBiOKmnvAPTqN6nPqrCW2hBDvmwNc0NBDO5WW8RRqPy5kMEOgqRhODMoTnQT09AWIxYNvcL6Pe9/vYeOPv4IqrfhH3r/kg3rX8HfjWslvw3VQvjrglqMe+I4+NEV5Txl+sNbs2oNm5XnrFjzwMlqf+V/5lPD/zAqp+Ew7lyYC6JDiHphnD0GisRWweCyRasVzuezri+hRsUw1jTpXBGwDZobVkFVejvkt9p9LlwqN2MeNH4QbXYsXsjeg/kKW5RxLVQhKBrSEVdmfYQShrGCLDSZ1Xzdu+pOkOm7+0v1bNi1P7pcjt8pP1st2bSebhxA8v2uU+MxvKeMOtuUON+M2/vHqcyAJ09o+jX6yATotTjP3c2z2MTpJLF+p5PFA+BJgRMNDu/ORvwV93HcUBfDUlTdZqgYMn65NslSZvKuSNUqC5lFj7Ruwxw2cfUROShjVPSyEWL7EViXIEo26Z5i11DJGMxJ7P2qvRX97K1h+q/3Nq4LxPEnLW85L9kOD11IBnhAOa8MIO+HrS4rheR9ixGURj91IqonRL7yomaPAOB3YLXdKvrak0GWe7E1TYOEU1/VAgipwWh4kMhAJmI5jD4svNhuVSTwPuFtOwnRnmgfgymE0Ltx1sYGszLB9PVDn8fCqqaJLkODExZpC3dYcDYzE/hXwzhapLgoQfpple7Uva3G5Fmou1xoCHymoXBvHqbFNDosrpCvgExjYESY4QSKcm4Lk+XBr8Fsf9XtlnDigIXBt1x8Z82cco4S4Lg2/E3Y01+PHZQWxxM1hLQoez4EGra1gVxKFcV8G5dn1mNwRY/k4f6dWBfAwWBBh4Z7C9RhNfkguxgsKZjgm0hSJm/RqOJQVGtAR4JyCDHn/edSsYfGcaHpD4SISbCFD4xbmNWK2loRLQyGHlozYUErbqV69kJxLT4xh+o49l5OeQoLl9EVghCUjzbCDf2t3eudFGfq5EvsAtfSkwMM470P+w6IOPgeEABrMZTGc7g+38GeUNpgI+z/CPMgp+OaHg3VEFHMafVbLQ2lbs/8sJFf93WgGfgXgjxePdpCzgcnqstOMqXNQJVF+AFvegQEdCWYaEGIEKA1rCQT49hQ6ngQ82NMpXyPw4j3Wug0bJA5ePd73jIi5+vj8oeHiyEb6rxVFrF7DLvX2Wq9fqm4vjt+1eNhQu9Kl82wsM1Ef2F6HP5BA0x9DUDiO3eQ0OBJuxdfcGFAvzEJ6HyMHw3Z6IeLplaDlME8hWj2B6hjra6eHncOdzArrXQMTsgq8AlWiZBHQXQaSMQoL4k1Cg5V1E9h6HUOJwVROV+ByE2YRK9gi6cfqlt4BSbl8cZoksiBilHuITDqVJgLoRpOBXwvbGNKwY5PTdOECvIYgVCJjXYBYsKApgjuWgJ0YglADxyCQidgEp5KF6UYAmDaVsmZOAJbqkeS7Nawmuakvw1kWL1yLkZ8HKTvi00BCpZhhXQlXpAOIFWDCgCB1K58l+Pb9NnJKVFBLJx+nqQCUxh8b6EXKFt9LafeTGAiil8NkDw5CBJ3aet/gFeyphEJzyqXlw2GtR1UkBzwaitEDKoP609zRGva/imPcVTNeewFx0O8rJcTi0wFHyoxANgRTRx/pfS24XFkdrvYvFvD+gPDm2arB+6dRxt4IytS1TsXDlorRfmC/CVgT2Vetg8J3BeOH7OECTxvaRMiN6XBZklMZDaSHtYna3EzkUv8EGFCdsZ9JxFo13AkNQO6lpAJU5ndUlpUN1Y9dj0l6PkINsXapF+uW7LVPFTfcnsG6TiURcPSWjbCZ0LuRCk3VexGOTJ+Vsnq5459zq4iCWl/uw/gp6uNMJTnP3UntlLwa022mze71BfIUs/CkxGYhQN+6muRzVGl7deiuMiW+z91mVCBqoHz6M0aNr4dH7X/F+H8t+zEPHXS5i19AknGQXc72LzfeHdb9UQtPTAry4wN345ht9XH9tgCs3BbhibYX4qUClnEXxQGWpqBfl157s9oRi7lnjeqLVsFttjQk5TlQnflPchSH9CagK8S/bxUp9HnUCzdWFLxG48CqTnqG4P/BOag7IGDrKUeDxEeL5BCjVobA3QP3psfbYSYAae97ek4GlhuHcn9jPt8J22j4Ghf0uRnmdSVRJTvRbx8pwH3li+uR4ejFpiTYwGqcHoojfnZjH49MLsv+T87y33Tr+xjw0flbawwcdBIGLbHYeET0DfxHAwPYpfR18CGwxX0XRSCBiDcu02n/0NhgN64s9Ay3sJ8JjF2TdfmBZHz6wrBfvobpOkDzEIW2Qne1eC6TIqmH75R3uCo1reoT4EPGWSjHkH0zbVuPHmhAkD2RJJq9oOma1IfRFR2Qwy2qR2EZpn4ufjFtc9x546gRyK6jtifCdl8pPw6luhTw6wkyhToB7kwe06EZEkhm4b3gn3KvvgD+4QqbXExlGk0bYOaeIacXBYfTjyeBH8K7OK8FypiS6DFqTFooqtDDCSWc7Z0CvA/ljPhZfCUHPrymY2FiT3svzh+RiS6OrC8VEhNo/4CgChK1CbX3paGdokcKIyboMd7TrxPcrMOf3Qm0UoNolGIXD0Mvj0GpziEw8D6e14/2K5rTMpxYEYAD2/unHyS0w5q7BrL6exJ0AdwxtQ49Vh+MCZZo3dTUWcPWy55DKUC1qMaIHSvWwvNJxGTT+z5BOJUJtuIGuqIpA0fA1tR/H5w7j2xEC36Id+LGEgT8v7cSnCPiyqVz79A5Up089euZii8a73N90d4AeYkOVpo9Xt+nofmwzVtS7YQiFFiRPptg+trCudWOUmqai+lhr5CRBzt8tzdO1iAB4TvPhiootdRW/UdaRyiuwjvuY9V8iGeIwf29+UgAAEABJREFUGARnuYmB8KXAd/PQJNRqDS4tzFW3XHF6FuC+NKAKuUhJbAI7W8BsPw+vQSgfdClXgY+YVQl4b2AWR3u3Az1zWJ8rnIh3esIKyWzs12xO4TtHr4Onq7i+p4GNqoOVSgqpaBcHQ6nUYXj9GDlyM+K5ThTOUhd9rfFmumNQxtNa8xde9Aios/DRPjwGdqkRsOK5K389f7D/enxiYCN2BTXYpWPI7Pg78MJSnIB13vXOZ77rpXEEmgW3WcbsLC1OvPQn+JFdD+Dg1LP4uWQMv9fRCwbhq74j8z6bpiQ3QDdsID4PPe2A59xr7h7HytQ30GluQ11Pwiu40OZyaMvnnJbn52jen4CddeHqASb9GNYRn45N1NA1lkT9+auwcGgDcSUX8ZjHUVBr4TGW6JLu82l1nlQRUVQl7XXeQSuN9jt+ncmdM3o8BqxcEUia9i73sXHqGOTDu8gZIP9E7lW4Mwq1AiCbKkMt9lEowAsbUV3Du6PLIRam8YXBJKa23A7GkSTBEtq3qsfBX/THRDhWfalyBFOJqqS08x5Y7uawESMu/VjzqE8nu0oy/95JEv7Ic6+dQ3VwDrzY8515BTtWdZLvD+8fpBpQfpAe9vv1rNz5AsWC5s7QPLXxuovh9BHIQqkEhkb60ncMAzKg7s+i3mbECkkB0jfUdISMwBZFnH7ZIPAJwFLMu73rvRGENEQmb28J4E4GnKYxw1Sv7EeThJzhKR0r5sNBa1g7ybBOi3KKc0RLgBkcM0FmrlevvQ0gAbzhFTBZyaDm+6j6h2Wc9BoKomQbOYCV9FykNXt9xNZ4UIhfp2oGMrT6bNgqfIPqmPx0vQH5p6mMhiyK972wbiVhW19wCNolwSD+RTxrfRfPp47hyd4mJqM+5o0SDioq9lkevto/ikPkFlTmSqpy3uLx2MC74EfuCxDtBTwbcCkav4Jl9/uwsieTsKdmMefXcaTTBJ9Va+QUCBeI0gDE4Pufd94G3lHyy/Ur8buz1yOjmmiOeOjcEMFotgw78NA86qLdbs1DE4jEHdy+CVTvAlvngLFHhfzcjj+5YzX2iCLLxGU7rpTA582aHSnclNDBuzxYIMz7Af646INBbAazucQMqC81CeLPKe+0BDjsXVEBFlpZ/aivYgsJrF1HAT5KhxXnz4sPbTX9RQ02gcVerIhGdw6aYnBWiAYDsJSwT6mGimJqDr5ZRWpa4O5RA29e0PDTNNm872UdNz1E9TsT/snUx0s+9UmZxHm1z1R8TPnAs83gFNoq9ZmaG6B5nl3uWp5eKsX0E1HSl769hCUDWNBli3lwHMlvvghzPIxbzkSxL3YDdm8bAu/QYJpd6nqatJagL9QRGaMCsudSanAl9LiFjDMJP19AroALvvjPDVMknBtGCq4RwNZqUGINEmICzEWOwyMkSVE7YO0+CiFiBEwGqFpFKJYPDRYiypmCp5EQ4Ku+wHrI3xRB7zfmoxYvA56Aghj8IjVKnLx44uk2ogRSBHAiVC+BBr2mgzKClishpq2ASkInHyvTUT0Mk8qrGRmZQLnXlWYEYVuRjrNoTiqsS70YllOnshgI+TQvcHqb+8FjCRyF+oRAI6nBSnnQAxNCU2iSAHReE4Avflc2FZXtrDwC09lExxq4fd3wNt0onazpBYUNMOAvCPBih9uRYAPFY9JArDc0WY/2hXm065H9zqvOQVA8FAZyuj5s1DApPdjedOcwl92PuZ4jaAgXJT8KhZ4/RYsE7d3wkvgSa5EWD6zPhwkzj2SlGgCr0PfS6NMEQjYDAUtYuNII3wWnvKtw8gUeLNWwxm8i8D0cyNL4bkaYBFHiwyM0JrKDhX+eCO51coiR/4Xsbud4ijvLBlS/CLVllx6nabwTlbAWdIgamm4UIBBBNzXwVa4KaocOW1GLNqUZU3Rpfj80Bs85X2I7bEhVrQhpGvQOpeU0zaDiDvQDibhAT2/Yxk8jOcUZj+HE5G/xsTIM+DAhf4XHJqs1N2vUVwUKxQzGdnXAqC0NJIOuaOm7eOWZLfBpATBDOCIfS7N6lYlrbrNw81st3PsRC7e/JwJTD5+Hopxx83Ey7LlqBcBA0DpaQOA/H7vl2iICM4DrmpjYZ0Hxikz2mtXiye45EyEZmMPVwGZDKq7jG/q/gRHtm8Sv5xBQlTccHXvMN+Op5iYUCbWLl765ZF3tLBC/plR4V/UHtRHEmzp2ZoeRU4kX+i5qMFBSu7HPDjBVtyEqIf0dPVmKFd4sF7BNROhFkmWq3iD94m9fV1GlBehUw8ZAxJQJPDGTB/cX6bgITV0oSWqPFsmfIND+61ML+Or4PH5v52E8PDl/XuDdbu1Y1VoAlExskcZjsFerQddryGTnYFgEwC4KZ+uzzRFwy3JTKnJmCqreAz5up0aLIFnqJJZ6kkfRUMhRiCdzDGmV2pbOFG4Z6payInucArjH6UWTZ7djkA56Jg+qlkIsUiU3ye9skK1928RWaoUaTNVBtHsOvlCQiW1CZFGWKxNrII9/0Q1U+5aDAfVAa2Ch8Sw8RYGTuhtu8i3gq1B6hsbPXShs/mlMd2bC9KI0WaDAYHgNvFvvI1t4dxspjBsbpGNPfQ3UVwz81NgBMDApPS+TVp4OoPhAPFFA3/Jx8KPOHPROyS2hLCeeHUOJ2l+zt4G4F7Yd8GaMaMiXK5qGwBNQCcgEXV60E8Ftv4jctb+A/OaPgP8s0kmNwLPScKM9KK98i6y70hXvJXcXGIDXquH4MGLTYMidlNK5S7eRLI0SjwIO2pthDq1EQAusKTGL+5YdhqqCxBQdyQ4P6YEDFAPo16+XpjAL4HcqHZdJa5+pHFfm4FEb5l3u/1/8avmct5M8POvksaM5R/JeA8loWIhjhVksPkIk9L04nb/yufeNPmY3HUYz0kCvnULasxAjFsPjRTs1tRnyowUrgZoRIKrXkVZC/tPALBxU26RnmG8oaPiFvAbzCleGGaMu0hM0piANC930TAY4jQV/Oxh8P+L9K0a9B8Eg/Ky2DZNrchjfEoCB/cWqEYSC8WDYdMAbmw6GWWCj4cg0QZcluohfd2FIfSNiGIBHcyo+5uTKGk1yaOHxBdsnqlNvNRQJsOOQgbIdRSwbxearOgGRQsLVKY0uKA2B2OwwkrWNOOr3ILHQi3JwDEvVRU/r66hxJQsvFgUvIpg0d+GxjuuaF5u//R2BZ54TaC+Gs6zEoPtAZh3+ZOhqPKIJFOwiBLVvc34PYscfR+Lg1+RRU/WJ53AoaCJH41XUaaDDs/F2mhesatbxYlDHHx/Zj9/7xxq+s731YDjz8mODMIMk0pkpDL1zFjzn1rMWnIgCZ/UsigMOKHlotKDa7PFOJkCT8SDQURwieU8ENP+OYJ2RhTpflDTjRi9cmv8ZqosszRlYTvaovSgwYCKNC7mqFJ/p4hHWX59y+etZSkIlmZyMy35vXrTLneUP2wZYpqvTQt9vzz+PF2qzSM8nZDmSgw70XNjBm91hu3zDth24Y7IA6Cb+ajikk8RLaLyZkL1/LXUVGOfgjYWfVw+xFxaKYX8d1hLgtiU9W1qqT0hbdiEmzU+WduMfjW0omlVEGhHc4q2W/j/UfnBqQPnBedQzn/R76eOq3TI7zZ6T5uvR7OFuBELAGeg8azI8IHKgjQKYGauIQSeFRZclQsbsBtVFvgAPbu04CjHwUwLJEUEX6QADQNLS0ryEJW1aviX0SdfSGjPMKRLuzKaF648RtySyET1J+oXdzOCYctSpoEuNYKh/HVR6juO1KGyhYMGbls/BNPEWOJQ77VxjDmNldXngyUCBxruMpyFaUQESHH0SW4TiwVLL8JYaSAJAUBy8hovB/+kXFSwGxBYnc9DxgUNcLwEyzb0YefZlfGD7l/He6U9heey72N23FTPWbmyjxYVyj4tnV49i59AsVDPAwmwDi48XWJzu6fZYfwAG2Bl477w6wMp3+jDiJ6l8GskmCnPS466uVVh/PIPEbg3Z5wyktumIHdHQX47hN3EN7psaBl+1YQ91AtzZnlxpIq83UZt2oFdjcHo62Bs6TQbX0eu2OgOMJ0lNkeBz8KTinfZMqF/v42UeGMmR6s+QDvBEh0F3Pv6lRsL/Yw2qKwrho2AYUCfrBd12WeDgvwoc+6bA5FMK+CgdVgUqB+ffVkZdwDNqyHWNIUqCHSeuwJACp44Y2dLQhAk96WIhPQHHbUIfUxE5oCG2U8eaAi1UkED6408LKBP0WknQ+XjJx0JYbJzteqwRgD/l5HAWfBsFAg5e8fDCJ208/1c+dnwOqNHEioVNkxYx9Kkck56i2gKaswhkOIWAHF42iYAm0Sywpv/1CcSfflUKr74WQcXswKszK5CbDgUW3qHB7cTWLByhegnoGeI7alDr1BkoraVuf2A5KHkwEM1nxy5Fs5RfgUBg3atDJ2HG04G63oAaoXxMG/VEDjaJlkIhYUZYgFBRocmNp9rQqKgREfIonHaZGSow+TVbVUVvCBAGfA2wjTwEFBg+1UeRJmLNRXysUYJHABW1BKIR0Ksm+GJezGZyPEy329iHbPUILJoAU2FlvTZbQLeppJj0nMptARF6UTlBF1G6pb2KCXiDWXhdWVAhQE0f5Q4NUXoXCjS0dw1y/+X3BLoKBwTp4e20PmdWaRLgvueXAFWVAYRhw5oI7Z5uQ23t0vRJEq9OCrkQpxoA8woZgbRI2I3Rrkfyes03zWNQHhUyfsfGAAX/oLTHxACWBe/EymN3oH/6GkStYcx5Jo7aXdA8BRmIU8okI11CTSFeysn5zIbJwuUkg5sLG5dUHbCpfSHAdWb2BIjU3sErNGpbig/ezdtRzWOwkkPdsMC7z9qF4DGQ7fNeHRe7u53jKTSxZJOVbh9nY0nFO1GpB9J4qMvwGC2AGqEVNFRA9TkUcExPhnfS2Cwt3weNy2VQu+Vy2U5YgHIlLF82E5qh76n6W94EfOA9ATj+qSFLuxjQ5pA9+8I2zPYRPRxEeeGDNwWwXyKuou8+epdQsGfbjRAzO5fcgKE1j2P6ZWB+rg+IAhveoHP0i1aHjoRRBgdOfVbhFxCnsbdc7sL4wTUQlemQ8DXolSrke+d6XgwmLZWUT2Ok9KfFJWmS1h05jp74GBq2hRn1XsTMOvxAxWDsKgm4P1LdQFTAUqA770ZPKVXcFJtGh+7h3qO9MByBPC1S1Nw6irSY/jcLERwmfubVqlBpsOI/9rQWgcUM2PLivUbs1jUtMKDM/UxmehGa05FEwXbRW2vgp2kRfEtnErzL/eEpAigvIh0mFeUaGziuCHxlfFbaGcTnsj00uSCB9y8fn8XZwHyPxnOWCXg8V3MnxzB+V4cO06L/4wp8u4YVXYfgqjSOWatlHm3toBPg1Uo/am4MTRrHLCEQmENoH7ezKhlpk0qzvcNdOpbQtCpVLvnL8cmljlguIAiHGwwSH6MgTNSbUAlwVwziGyKA2yA6DmgplhsEMeDOxCRKxJebsJr3/78AABAASURBVNAfO7XcLBdORW+BR3y0RmOum+xEPvcgXA84luvHcCmNgeQmaMm7Jc1c4Wmg+B3UaRFTkAzhGkOt3M40BrN3Y2vHb+BqYyNumj0EUWoJEGeSXjKfCgHuzFE6+iaRXR5WWHXyzORFvQuO0FG5ogqhCjQ2LIfTl0VnIqCaAKqqDs8OCKwrnRI5oHfvm0k0O65AbeBG+GYKdnYVGn3Xws6shJMcRKPnahnHJDDSSQxixC1B8ZqICoE31Q5BtctoBibG3bXQ9YDirZD0sam96O3y0X1HHwrXVBFQHUeaaUSULpJX0pKm7oXzCum4DNrt1oBM9Ygzh+sTCbiRTkzHBpCMpHGXpaA9TjJRUmnA0+P4SuwKmPNL7y5nugtVD9WOY3fvYfh3H8B9N+tI0Rxn04aTfFhplmjuSHkaKexqUh+khNdHZqFXJmEVxqFXZ1CuPA7eaS2ovin4xC3c0MoLXbyJoryiCjeooXtsBXrs69Gv3olh9S3oEtcjIZbRaGPICB6qaGAWJcpnbqiEuewECsHuU9SM/7yk5bkVW/gc9/aZ7Gv0kJdZ6D6RpgIDPeotMp/AUNFrzkLQIunp/82lNAQnhznbw4uHwvd/060amgSABoLSawoY81lkXtKhVjxsiyv4eHcE/0LviiMutcs9Ru2bwxbyAvXW19PmwUn2wtvu98Ffc/G4xEePfOObCnbsFGjLAbxx7K70evz14JX4haEN+I3OPvxRKotPx5L4thXBCwrwLcvCg13L8HDnKlwR6caQGsNqWlT93XIFHyB+tXJ+AC6hK9+i+c8DTzdkvktpqjkovV1nCrVgAlPdx3Hk7hiK62uYuXMMjuZBHMvDSZ1sH47dhGf4cDIeAlrkzDkmukiW0vLU32iyctjNgllpzKhBNxU0/aLMQwMJDNJ2bm3BB3xisSmu99ac49wxzh3KbZEVt01W56Z+/aHxGLD+ijAdXlBhm9Vbx+/ntoIB8ZRvomOeiCgg1alSPxLg8rlxH8r4Eag7nsZ7x0voSPWAZTTur0R6xs2bVzi9TiWCdWYG/N+CTPSsNk3yhY1s2YRFmNEyPcHepygzQ/NS8skuhLIgWcHpXNsfxRV6Gpsn1rDXD9UPUA0QW/kBetrv46P6Ro/MXXVGpfl6NJ+AkNyH3oTadWvPmYyF7hPhUdF1wt62qCJkSE5QbXtJs+HPSnOpOBygi3DAtFHA4osFfQbu+AxKVovDTrczw/Q2j0AjwW3LAQ+Zmo8uNWRQp9Mu5W4zON7Rx+G3J0bgJ7MoelXM1VKo0MDYfo7Os+z45HisEnEB2wpwlEANdg8ULZrgpeEEOjTLhqaUzgCW1KpA+iUDqe2GXJXneBejSgdpUrHvGMa/6cCunBqTscvnjhUwUtXRWSuisfUZNOYFav4Amm/9r9i4+g58OB1DJ1bLiPVIXQ4yU/EqksLAqmoS/PmSDLxALdYfgM9rZ2BtcZTnJ/bDhgd+t28XawmYC1kGD14a1YE1oSD5qiYVD7SLwfa5A1X0eSa2982j4jvwj/nwentl8sbxaQksrSH5wCLQvbIlQP9t/ilq+dt8fNHyMTKXB0+mzI6TgxpPlPn4FxacBQQ+QgIaHwUjE79ArTYVSEqNxsPIqjyiV41D27IN+pseg/7Wh6G/4xsw3vdlpDbsh5ItoLFsFqaSlnFioh+7nRwerI0iooT9zIpaGB3ajd3LH8f+6jSOkdA8matQ/ZVJQAXu1AV+/CkBYy4AA+gfL/kY98IyyERJq+cD5Ed9vEJl+5d5H82iwIa9GmKHFXzxMw72fNVFZSaAqtjUJnwsLJhoru6nmED0xb3SZI13ejB4rs/k2Al3Ud1ttwN8koAnT4aEmptJSgtP0r1YFNWbNqNBC2JOU4FNQAUDuKt+1EfX7RWoV+1A6uo8JiJDKFcqEDSjje9qoZIylVM1b8V6WASU95T24PiYODXwHC4vn4Pm12EZXSAMBRWrDF2j/hZpohSfAxUNtMoBRcnCgY5SahbCoP6q6rBE+E5OT95ICOnllEPTRBoqDBJugUJfBfAERNANr1ZHfMdnwJ+Ygi6/WoLwYhBqgKaRh1mIoGJ0wL16GYUCsYkAgoQuJSNwVWYbIpQmrCjqvSZ8agEqYtQGDEl7Lo0nUNRlwH1Jpf7FtDEMsEHAwKw0/dV90gyoUry1cRgEVilCh28F0p+1dMgakC9MIOfvZC+p+MgYtmgVhQ2pErtpktOkRzcBO0MW8vXiUdIBasbSTJ8mG+qJMK92PUqi16jxAhdhKYgSa2D+UwoOypSSWEP1aiFVHEDaXYMudQu+VelFxYtCCQQGe8MySOLLoLW/8mmEXQhuq80Y8UubGQOyR5y6THRDC4BixwvzRYDGpLjehGr64POTRakgAfdAM3HQ9ZlMqvYCNH/+yhOImNBxobvbRdCA8BsyHdbO9l8zvADwAAF9TNNXDenTndRo2INUtUqaH76Tmhnyg6jQyPP7d2dCdk3Am5CFqLT6lGmEbul5miYoSFVJO83/bM72ubH8/DMzYbwo1f86PSuj7LXz0mRt5RoDfq8Hh8Dg/S+tRTz3ZWjN4xx0QlkLT+GVrTeTW0HPbQFiyTBN8rjgmz+lt23AMADecbk4okKLK1GSeTzFgkvlmN1FfG8xwUXYx1r8fKh1Nuk5oxKoyeHKorYWK34TOgF1u+ZuRd67AokolyWA2lSwMh7Fdxob8GTjSo6GNuiueEUY1a240f86fjH+VdylfhdD1p/hhqEv4+3V/UjQmBGQvPFKXcMTzZCPvTmq4b9sWoF7+ztlWou1NTQus9sjoIVN7mdsXow62CD5Jgiw0tCQNXXc2xfm8+J86azA+NnSV8p1ah/Ag5Qm09zencF/3LAMv7h2CAzkM/D+5Gwev/fqEXzu2BSWWiDgPzHkuDPjC3h4P/DYEwJ8pvSzzyuolj1EjQKWE+CuEb/xjFPHygkC3AXJzyW3G5ppIKsl4aspTLZ2//dHLE76hGJZkB1KOHSw9RTFYxl78Pikf/XvYf7D/4DY+Qh7QaP+yIsJ7OAd9PGow1ZUqIzS0tL4zHnhNdCTPk7jvoFc5Foa908tB5P2RYbZQKF2EPb859Fwi5grx7H+lXn4BKpxYEfyOjRjt8IjOHqmvJW9gOhGRERoXUof1gTujyjIEggnw5sNaVxOrToZpp7uaSC+LAvTqsPOBSjOhjw2DKUx+9V10jq7zkNlTQeq162R7qaWhqkRE1BJAuEVjmZYtzLwNK3efyNq/TegNnLHKSHNrg0kGyWhl8cREEAfDWx8rPEqfiulIDO7A4SkY8xZCwfUTjqAZucGGV9rHQFZH4lhblW4gLTihbgMi2gxabrB2csjCV6nts7IoFOJgAGzDVoVvhGDbybwoZjAMeLJPE62s0irZaStGObVCGZIZlKapXbQRZs8J/10eZ+M9/PJjbhylYq3vy3AmtUn35teGpPhXrQT+xrSij4xR+Owg65CAG7rNWcPrENfQPblv5JHnsSOPwFzbjf00jxAvMZXw3jHep/BQv8odDeBrld7oBC4rdD7SCjL0aVswTL1HVINqfdjePZKDO3Oovd4H9L6RqTFhhNKRYz6RBVNFND+8oc3/PCmpqwiEFXmwJclutg4RcXEANWtjnR8Ad2lKvIkB4wvmmCIln3ntAP4HtavpL7cI+CkfbiJ6yitPoj6ejKBBo7hhb4xUPfEPmTRIAaz1C73LI3thkEyKskdhQQ1PgD6zAKUSh2GDvDXXG99i4+VKwLwWLjz1ZAH8thIpOCvsz+UuAJJWogZTfTisXQfPts5hD/tWYHfJRD+SwOb0TtyLz6y+segWB30fCk4iSGoegQ/sTCOG8qd6FdjCDQPzx6s44tP1znZM5SuD0i/vP0Mpv1nUFVnpVutOxARA/XuBsSRPJg/Nnp9MPDu1xxUhxrwSf6zXQVxPQ5ePGVc5RWnHy7J/gy2p8wq9GgEtgixmIjSLdM+n8YYA03rYNJ7UU1xPvLzhqsHdsCb2SXpFs8tpMcl1L5YOQQGx19uzmJ4rY0YsRJ+t/M0Nnwjuhvc10e0BP4v43qaOyowzTpizZDvOCmf3hWgPvUNWaKO9TfiXb3XSPsDlcOY8+rSvlhrL8rdHgnn2F3EH94VW4mG6uJpcwol30Z/I4phBhEWRyR7tDcK3WzCamr4KWMD+H/vPt51G964NpxrX+wRq5TkD+//zWtA+d+8/P/bFN/Rh2RZ9SYNJNL2OjX1/K8upoSMnnOycOYgaYJGLAA2QmaN1tUAD6yAITItn1MNHTEooIkjxWzi1Lht4E5bKON81/AmC8ejQzCbFn7poInMoRkwUMgqsv2gtPPg2U6nQgOr21rdb++c4x19HM7CVZBMw9UrmK1nUHNc5II9HASD+G1iJJD22qQ0TtF0M4AhAuzRHOQ0FxqBOQO5KCwRIToBTanCI7mVHPKOjKpIb9Ohjk1CPzqGyLiQ/hejqeUXcHx4Bzoi/wz7uy/Cr56crTycW8CGaQsmASrW4Sdp8jkNfYDexU/9DGBG4EW70Oi9GgX0gK/DkVk20BePIZk0YZEkdnCuKP0uVPsSDTi8Ony6emXqsExi2eByRI+o0t4Y8JG/3kZpkwu2t0G8Zo+Pemtn+5HHXez8vIZ9nzZQ63HBu9yLVRuK2ivTaH/ufIMJKEaAY/0eGNRbrMYzAVjgWzmfR4cQcPo6ZNzFGh8P8xdZBe0/P1scdj57Iw94G19AcPcDCG59GP5VT0NbfwBq/wzUzjzUdAWa4SNeSSPgdhHLkkDqyGQVDOLj+Vfwz+X9mHeT0k9ARzwTQb1zAbPXfwdjVz+KQ1u+iqnr/hr6lo9BT4/hJkvHBx4WyFL3YKH0E6UAvJO9QUL2nq+5ePYTNp7/rIO/OuihRCDu7Xs0fHDWx90FgUZHERuXP417b/g03nrTp3Dt4Jcx9YqPemuXu5YrIf7UTjDQ3t6l7hF4Xrl1E3iRThaStIdJ2tpl+9htB+QK7+bqfniJGKpb1qPwvjtgLxuAR4/KJEP3BBJoL0ZfxJj3IIrBfribn0ZyQwW7VKKzBSKHmojsnYM+Z0OnejVnFKiHBFRaMPAHVoLm7bR4dAQz1FTbu0zQuhi0GRtvORYZpfmwT+gqTQQMnwTeJrUfHUZUA1QXxfgkfE2HovfDhYpaLA9hOhDQEBX9i1I6aTU7wmd2KqGfKqIQQoOvK6glK2SndlZPYDw/gtlpauMvPgnvuS+iOTUOQe8XikfzAA96zUSzI0ttktoE1bFarSFai8lE7bSAEpgIDAOlHg98RcWZ/Jf9l1Je3JfeWkVIkyc4CgzYKMBBFc5Vy+FFMnA6+mBsrsNoRCBoUuJbOHFF+wJErjmG5qpnMVfZj/bXSG46kDQqAR1siR3RaAIn4FE/LF3pQC2W2Rt8nAFbCgcFG4gPhfGkg7TTwWjyes13+ViYR2JZQIsKc3KBwkAaUb8LkUkVfDFfaQvE/KWBSiPctZ2kAAAQAElEQVRQH/EHDrucSjXC1Bs5wG4dK2a0FhvCkNevz9FkoUxjjikiWK2FdcGp7ipUoGgB/n1jB+gFY7LZRCM3j80LxwFFweId7sv0BPhqgwj3RocRFTp7nVcJP+xngRI2IM1ZWkb51sQ8eNcut2uLJoCcsE4AI5vtPq27YTupJ2z2Bk9QpOX7pFEXlTnn8tJAtRqasVhYztD1+nU+N5ZTae8qZzvLJGxupckhm2112/ssOBpweN8mzO6MIZn/HIFXH4dVeVqqfS8sR4P6tErD3UYeINsRL8JcfJzM6dFUryS9vETYZqb2Ea+yL05ekAmQ1l5AbX/eT15nvQMRti+02hv/KazqF4k3pXAwdx1K9RQs3YUifDgNV4LLnNjjjY2oxW9hKxh0T8/9NUT+EXRjClFNRaCTHKRYiKcmcE/8Jdym7IYqAhxUaFyIpLEhTgBJfxoMhMtETtNW0btgLyUSZQMHS3VpLta4L3792DR40Wmxf9v+YCNs7yMNR3pxXgyOs+Nid7mruTKmGk2MR03wcTnvHA5BFLZ/YFkf/gstHLTTZkD/L/ePgdVi4N0e7kXT1/C159N4nED2F4/6UOwKVpk78fbeL+Odm7+Eru4pWOYw+L2M0wLaf3hxH14Yn8PhSsgPFHsTBlQNeuxqfgxMVEP/ASqX9GhpNPRIm3CFNE/X1NY4Fhx6CsrkERksXnkEorgA4QKWGvL4BQKELSsmw502Q5EuYGaS6zdAunMGvlCwMrGmFXKqsdZKYVzfSONkgAWngGKQwNC2GjpJQkAyc4J4OHML8tGwTbFnJrp0ehy2WAVtwL106rxnMc2lsi+0juqL90XgmEPIdsyAxGC0/dv5jD1vwJvrgprUMX9TF0BjA4d5egfiJvVrGkMqMBFMl9h7aUUJ1wdvhhsN29piIjc5KJ16eUKaw41ZdARNmLkDgFAw6l4BvgwdcIjWM5JQ6h6E28B8ZpxkFZP4WwrRY0XwV5gxI8XkKDlz0rycWvtYmRebo/ipuIKfJMVg8kP1cONbe1F0jsq6KhJBoFl4VHSRTDT2morFi+d/mqfxmmLfFx0B74qlqSg+/68qXnpZId/w1urz0uJTe93XCKR9mTYpzbiyGhHravhUj1PdVKnkq9XmYE1vQ/zot5HY/2Uq33HolSNoNg6hgVnMLD8Khfi5Sl3UWDiZD0WVtwIDOmKI5yPITsWRDlYgq2w4RUXpuUFXyT+AiAD1fUGu8N5sCFT88P1HcGYbiYoBwIiikqljRT18r4do4S6MDbRl2fnWot3qoWo7CJWVvXCtD8LuSqFwVQ2ufwizpgtBP4cE08MOpU3US+1y720dKzPvREnWDemihB0QubzjMeCWmwK0z9VncJaPmdnb+hrtzSQn/UHHTfib7rvAR6MyKMrvjdV/77gRHO6bSVRXvAlupAOFK38C/DWIYJltYgbU6/D+uyOwaP7w/MEG/vKRAuo8aZK5h5qlL5cWQRMqld4Bf3mw/CkPXbsbUHQHhSEHjC/oUzlUV7uQcjgtWNlZG4EaoNLQwfKdPp2XPH2HPwSP5Ky4XoOpOiS7J2kMpYkV5WIEYd8i6znvnBcgIH6dpMUZ/RLIs9rjX4XITQKNOtpzi3MW4DUEMkbx5eoR8GLWnxZ24Neq38XjnbvBx/ZNelU0egrg98bv05yNIIAP/u8LtbJM5mZ3+FBfeBTKPM0bExm4W+7G7ZEBUv2o0uLfJ4u7JV1b493tLE/HhI7Fm1d4oYYX8katMioUb2Mpi3VGth3thOlpKaQ75hAEAa4p9VM+Yfvs6QnACwVtWfREhB9a/o+vAeX/+Cf8N/KArh4OUpoXMsbvRbEYqGnnE1PCzt52t00DIejeRAHtqxaEA+bi+O2wthkRXdLqBVVptjWvMymtar4szXNpWcq6vHoEkUDHxv1NKN/eBTy8C/5Du+A8dRjNr++G98kn0fyrJ/Hq/9yP5/95Dl/4nI8KZcmrmJw2M1s22c1MEDGB0UYWBT8CuzKJsn+Ug9GxQRqY3X5mk+dycKjqKFigASxPioZ9+PYAdKUL6XgDHgkPDLowQBU9rgKE/IvGE1C9GiKvLshdBZzGhaqnk018oXstfnfVLfjHAQUHX/4WMPosxqZ2YXSmieUVAz0z46gtbJdge/Dhn8HiCQPn014hnY7l2SmZfjSrwRAq4jkNvNNCBpxH44Hsgeph7HVyZ6j+ooceNYpktQsagXQk/6A27JJgCjhpnwQRF8VrHCzcZqOyxpU5HSGw/eiTnrQ3CEi+ausI/nr5HuRJSEcxCmhRGpRrUvheTYIKE+6k+v14ycfjJHzWA/YBPl0N0EugUx8JKkhEsBg0Dilen14Xkwj6SPC2HKiIwUI30mIDepVbMKC+CUPq/Vg9/yOIil6Y8QFkjI1oYBYKDDxfr8lBGnQ9TnaO76GKjsg69HStRLa7E+neJK2PRKj+xuFYRahrPwu9YxLXRC285esBbmwIlJsB/umojz99xMXorrDOdm5QUCfQdaQu8MFKHcl4HteICgY27sb6dduQ7p6A2TmJzt6DaOw/jgbV8YlPKg9NgMFfLxYFA+0MnjdXD1IpT975EM/F4t31TFN4z+1obBiRhPyuA1ugZlRQzWwHA+3l4JgMaz+rd/1jBMy6mAoseESb3GEi+2gD2YdKSD9RhvZiBZEdlBlPdLv7ENPqyFYJdJ8m4Z36MH/e/qWvKHjsSYHHnlDAn3zKDFqaSoKRphBIE4nD1Rw4iQoU/gkLwmyinJpBDXH4qQyaEQU1s0RNy4dGfjq9TyxxqQbAyrNB/AHQiU4n+kBTUct6cJGntkDli70RW5X3oewl4czS+8vNUbpRBKqgsjSoLxgEAmXBl9sXTuQTJOSxu9GpQdWIuZGjlvVJBwwR0khHS1OOHwRIGGs5TxhO69NSffGxMiLkt/zVjtOXhXvXVfDedBWaQQEG73CnJ5Gf7LdSYX5ur3xBuuyyQDkI+aAbC8uj00KINaHCmlBkXy5vcMA7bJRqXcbxE1FUJwXcSlhfsf5A+i/WrPDxCQRe7Htxds6jNh3mkV4dIB+EQm9UDIAnjsIFTeIDOMRraoELhxYydE9FqimQCOXoi8vwIqnN1jP6lJ/nCBlbNUNTOi6Bdsgp03MF6FUzYDCAk2RgjwG0qGJjxKtgrZcDVB+HJyewtjhDDVfHIZp0MS2rTjXChlSnTxCk5zk0zQllElftprbdA+E3cPo57lwW3lXrUzMIunuwjiZWnGSmgzoUWXgiSwYUP+RhrvAhx2P2vBTqNabRBtZnqMo4CcdmHYjHQvNS6b29YUr8+TrLJ+xab4SNZ5TeL7vbKkKsofs60HRQxXNP34uHPv0RHN22HhjbjebhIzi46xp4isCGdyjtKBdttoH/wQF6YafFVpvHpU/3hj5AKJifXI78MWpfuPgrXwjjDA+H5rl0XzWR95oYd+chggYi1acl+ZHGW6RZokXMBI177KiWXTDAzHY+EmZSv4H4bQiQekoKLzdH8MXa7dga+VmUOn8SC+mfx/HR+1EuDKGf5BhTCByJbkRfxMBtURURwSktrdp9zo9EJAHnx/1POkh7eHIef0vj6nfni/jyWKshkX/75r5x2KbxSdMQ87y2t9zlntF1MCjOx9+cCDiPZX6ugJrrQSEe/IFlvWiSnLAoWblw8IFlffhDWmjnI3KiqgIuA4PurNhe6e/GV0rrcMyPgwQCzK+Zwd1XfA1vG34EI8nj1M+bqBhxKNZqWZqvEtDuU5t7qljF4UrYSZYnOpHv/XU04jfIhQY+9oWJB0l+YbOtfAKF2M68ms3TlUq8E64L8cqjMshbd600fQJslfwclgWWdOeoDiOt918uOtKPNfJGca6OAB6iqRIMYxgJo5uDllT9iU3SvyBSqDduQle1DD9x5vg7krkVR6P3YN7cCN0cknHOpwWtdJRy7nykryvco3duUxaKCJDoVRAIC92rajLN4pFwDGdHg/qfV6XpyLEBaCQD5YI9cFAl3mIjokZgak0I4sV1YYI8oeZKHO2iVL33Gkkv3FA2UAn8Nef2QDg1BKqBaSeUGds81TWJGVA3qKaKKOnjUAjETlubZRqR7YcQ09PSXrOp8NJ2+bT2sTJ7mnlcYwhcS2rOq6O9CPrRVDgxPO6WcaelwNNj2G90IjLx/Gsq1KdL+9HeZds+fmKUphi2E+D42MkklUZROmbMTszYgOEJDKhz0g/xlUhGboJrZTDb143Zaz+M0hXvRXX4TjQ71yPQeiWd4uZQLH8NCvHUpFiN5oAv/Vm2k5YlNOMYCVvk7/SGYxNZT9xJZY2011rz/zW6kG7W1ulV6n1Vkr4NRJRQFmX/xSpqDEvntTV6YLLxcTRkyFtphGmVbFe6LT4WUdpAQLuP/A0OyuspjNpULdHElBKnNk8ENHw93wjfUTk4Jts2+Z64e3pC68ysQHPVoHS0N3NJR0vjr7zemdqDG5v7qB8EeOllnnMIMG9pkYA3BzAAy++NFbvbYXvnhvC1wocx1+xCfeAmTERvhu2qSAcTuKHDw8//iIUsLeYcHQ/wJw/msdA4yb90kcTgXBQr6f0vwz1IKMuhxXsRXfCgqg5KI00E1F+0Q4vGlvEC6j1N+JqPgqsjqmjQFop4pdGLOo2jqipgaS46IwVqDybO9j99oIum1aSfeteDAMwPTMpXMU4Nu2hXKQ806/B9GtebNajM7y86kXNHYCyDMQqxMIs78g54oSwmdORWj6FqVCBiddyjD4HfG6dUpvcgyJLJUli1h+oIcIwFaK88Q76Ad897ATMi7bxjnWVVxj9497z0JO1lO5SLl9q88jvZ63AoFvLSGxo9WNxWKKq8Pa0bqc4S8V+gEnY76c9aL4HubP5Q/WDVgPKD9biv7WldknanZnNoLubOF5mUr6YQKBZ4Mqt44WB7kUlcNLmJNGJiCCmxWg6UWOJSEHJbL6jKUB/2iYGV40vPJTQdafBVR0tIYAcpNxMnHdCnFqR5Pm3k2gReyl6JvW4vtrlD2OENYac/hBe0NTgkelChwSYo1rG6fIwY7Ta8dfJx7Hm+gfYZqSwotfO43iIhXNNQiAQ4XBpAya6h4L0ig3nHZ5TkFAaQZrcJ6bdYi8WI/0JgwREo0UC2sNZGwU4SiYa1HWkMRTR0vqKfAKga4kUI/buAtovA9jxie8L6owjnvdX8OF6KZKgtOIjWqzhoJvFX3VfiP9U6afUWuGUuhY5SCf7Cy9AGo1gKbOdMqq0sx2ggYfe1ZhfsrI8YNKyopvBQS/DhsLOpTxZ3gQeyW+Z78RfHb8XHlC34ncz1Uv16+ircSwB5j5qhFAdkElUC1ds7mqTHadrUDg9tsL3rCkWGNrYaWB1k8Uj3OGbcGpTkZulvjM2ig0j4WJioEGAA6Us1H7+Z9/A/iiSEEbqzcm4BXUTj9mZknEupNep1mVxnZA1G1PvRr96JrLIBUTEAbvs61WRk3gJfOb+Cyak9FE+RGgAAEABJREFUbKUek8b25snJAgvzUdElw3yQEKRcLdMaVN+EzOjN6Mw1YVG78hJT0Nf+LazuBVxvRbDhcwJXPOwjyPnYNUIC4O0N2G/biemNk0gR6PUfSxVEu+ZgWRMYTD+Om4ztULJzCLoAkYkgMTiPgY5dOP6ChyaB6m5nCt45gHbQxWf31VjYIvviHbLkPPWugCYfDTSH96MWOyDDEmIZeBFiSH0jgdIxySesNzxPwqeFOi3K1B0T1boPp1SGnVuAO1uEOlql/iEQDK6AaQboK+/BiyTs8pmK8vN2asOGIZMHf/LZ3nnCoFXEzcPS0yR0Aq7qQtEFuAwaLCgxB+X4PDzRhGPGEOg2lTMPVdUQV8K2irNcZmuu4ZaFpDCQhqKY9LwB6kkqLwTWWgu49W39SLzpxxAZWYkIFVKFB191EAgFQSOONtDeFvSTeeJ9mo5mQoOqJBEYOmoZD3zpiGLxpex6CfpX/xb65z8BsMC6KNBJ+9KlFRRpshZFPxuoYVKa1Vs3on7lCtgo0MRXhxAq2mfpNslvynsceiyATnyQhflKYw58ufGADTCYH2t9sVJd7lK7Cf1VWuBhAi8eQSPPNoC/Ogltp+p6a2eM06rHU0OXdv15YQc+ln/xRGD7z1IzGwIIw0YDs3KsSiurYU6rks7uDOtjnibKnm9A81WkM4DaajeS6DJpKrVZTrqeA9yKYCu0Vh1KxyXQdttlmcr1ZkSarD3BR0EpPq7xZpGIH8W12gEIch8izhSlCfZgI4zT/mybF5w5HqulJgjsf1YVNGSQr6WoD9AYSi7dDkFZskqw7Z+PTIPZRtDRhRuTFkTF5SBohibNaqtuhBe22Qb1z5gShkmC75OWpXbCWZdpsZjNhXz4DmOttst+l0Ix2DQ8GMikpqelgXVGBjGhgyeLDPKEvqHOf6BqrndQofZVrKfx0ot34ptf/Ek8/fDb4AcKMhuB7oGw/YcxLlyfpgVNm0Ec6h8MNCyOyUC35s6AZdHYwDJondSuqT+VD0+Dee5i2vPZ2/lkqI6J1Z2TnHd+fq56HGO0eHTcnseR/CMk/zTg6MMwM0MyLsszWiQm7aWKh8W7xBlEbsRvBQPAxe6fx+dK1+OAO4iBeErS6wkTufwmHNxxP9SjBvWVFGa1MN1NuiQ5qxahJjGgCtCNwLTA18FSjQ3wWekPTYayLAPbDJ4zAC8DW9rDrXAlGZU+agvU5PLf0ZORfpyOtJxH2zOdxzzl3aQF4HetHqCxTMfXvynwhQcUtMfGdhKWquDe/k78lytX4hTgfc8E/uqBBo6rKbimi/rGeZT7bPxJzxZ8quMO/N7IB3C0awDQTPjmsOzfXL+c7mHHR73aRGfTRrK1kMz+47WQR/DxL5wv+7WVb4XtXvGoItueLVMQm2CFuVGA+LffvwIugR3O/T+BgMZzlEl2HgsX8vlM+mQ8bPO1qtdKAcgtCAivgb7MGJUXMKNrToQtZTGsYbwYexfymffjmmr4HoOuvjNI+b3fmL0WG7ruPyPsrB6LeDSDTGele50Bc2P8/D7SHbMIImmZWnpEkWb+eFjf7JjZ50GQJYsINC8KvzJFfexB8B9lVrWXaYGiAt/yUdVVeA6gNOmFEP3F3F60Cy4pCEGyRg2qXYI1u5P6r4uq6MCsN4hY7GSKLlZIx/QVZWkyGOwtW0EyRlQe+WFONqV/06tJ83JqzIMZTGMQfK8dCjTtP0G8PdKPLjUCHjurgQMvKCNlJTCnJ7ADMZhzu3ExF29cerIxiZjQ8Wvpq05EdUj2Zwfzt1yBbYBam5eWvZEBeK5AD82L9KAGg2id5BB0xGChG3xVlAU4yUE0eq9GZcW9pN5O7mEsZAFb8xAtzKB/1kZbtlMXHRfI8RcrrbURzunrWOwt7SbSUClfD1XUggm0v/wBXWkllDtjIpRDyeuMO6YOItA19CSmEScewvM5nm8woUogbMkWsD0XCbMGJdPD3ieUb4RtWlsowY64KCgk06s+OomnlJ0optxlkvb0Xe7t8X0hBzh9WXixKK0v1uTX8TICaYJwm9RXn0Fk91HcJA7jnam9MAxgbFzg6w8q5xz3KlXgS19RwHOV0eMC3340pB+P3ABfT2DIOo7k3i9g2Gzi392XkKB7nmSMv3hmBjzuU/byTnrdiNcFtOqcdIPGGb3uwyyQ7J3SUetuANMVGSYKdXh+E42OJslcPi0KKHLzgj9Zws56LwLTwEC/B5BgH4+6sFWXsHMbCgzo9P6w6HrZDvCfCx4eae9ia4Ut+CA5I0DKBgyatrS8X5OhTByR8Vx3AaJZh9KQzkuqfZJwClEq4K2HxvGLz+/C72grwV8l/D+pW3H7aBp3HepA+tODeOBTFTz9zToOvhrymIyakeVwtRrUhz4N5tn+ig3waT4qA0hjHvDueMiz2kfLsLyymE8Q2Sk3x7mCxseG4qGvHqNnFqeEtx1WNiKt5WmqcGkLtXXrwvYeun6oX44aqJLMwritTzjSUukv5EtgtVTY5fILR/DLlfr/Ael+6rPfwOa7P4J73vfruOZNP4tf/9hfolgiLvwano13kHG09o4ytl9u1aPchA4CAM+Wj6mkZVAjCCWBpl+UbgahpOUsWlSEwkDTD+O1yfx4VFoXHwUjPc6i8ec11nUDOLzxGsxctRG5LRvRvGsj1FtXAj9yFWo/eTciP3E9Mm9egfT6DCzhYOW2lzB/SEGMBBsWlJg5cvK3kQDFpmvWMekMYErJoFmdQCMIB7nuc5zlHo8BuiLAQ14QABWaJUzSmOYFRQJ28ujSFFq5VeCZQOFqhwTbl/B3g3fhv6/ohaoCkf0LUFsgBJfhXOpoeQG9dgK/PLEK/8/OUbznwHasGj+OclODWevCupxAhmj87BiCD/4skAwHjcVpsiDA7tlEHq7uygGZBwGHwLouMwI+V2y6UmOSJRUDAP9p4TmwgPjm2WH8xvzVWNNI48Z93bhuvAvrlQyuExkM1AHVWIPAUNEY8MHp4yzXFIHtfCwKBy+/XcWV79PRd5UKtwHwLvenOqYwo9RhR1OAsKAfC1f0+ViYj6UV/GxcISFPgMF3PuMcdN1e5TcCuB0Uh9yX6rYpWdcoQBGAIZJLJktNAFpNwCOh5NmHBMaPzUu6RtADXg3n9tepROSOluNuVIZVW59dSgdpojQDofokyKagG6vgxyehDX8DVt88rsxouPO4iQ++BAwZFcT66X2nj+F93mP4XfNzWLvyE4j1/R2srq8gEt0JRbNhx1egkbgezdgmKDqwfOQ5VI4UKSeg+LabsdSOdhnY0ibcAPTIMEiQ5fbd8j7DEAz26k14ySosdIOB9i5lC0p+DJ+p6qj5d9AzxeDEJxB5807sjOnYSu1uWyyLrck+vJroQJ1meIHtwZjx4C9fT4A7wDvcq8Q+GRDqIRZy840+PnB/GVd3HAVfvPOEd77nqQ9EmnkYWhK+KlAzy1BNyDwjogu6TmWI5xBQnTTyAZoW72IjGhFBNBjgpM5Q5v5xEghtGIlAhtVJSGeLKnRqByY8NUA5nSO7oAmRAr6MmIngqrfB3PwmKIoOx3ARUCkajREqj2ASOC1BP1rQQJ6odaiAFYWbSaBp0MMSlSW6SD95q/u3S4cyPwnz838BZTwUWtnTI6CcF7XUJqC0dgZZClUWBbZ3spAVDsK0o9U0vVMBnnCx37T3jBTA42IZ4tM3AyQQ2n4NTRTQTpvbNuiqDXto9vpkC2+lHPIMPxZBcyH0MzMnw9lH3fYURGEB7YWL2hiQftFA7JCGdrpMd7p6sj6Bl5qzOGgXwHbuV+VRIck6NgY4+Wep/TQRsWixQND7BZo9xIiJao5AF9s2oNDrG46Sx/fgbj8jYdzwmpQx5anqoUnWS3LvtcM630T9p53goXIdihZgizOOz7zyfiijGQhqn/uTPZKkQ4TvJOedLMsWsxtdtPC1+PNXSXweTfGKIYViwTFXS7ve2gXNjm+1jpKRO4DTKdwUlJCrmKCOgEwHMSEiKlfCcqjEX8iJSrxOZYmw9fuqMtmwXPl8WAzHCc14LDQvpb5yRZjaK6+GvINdDPiwudfOsXFCJQhYvP09Edz7ayb67vVQ73LgCAW1RgI0AF7sH6WeSJct4xNhn1rVKg/7tZVZ3yWtrj4kzWXXa4AQyB3rwPRYCRdzTc+G1H1hkwwdS+gsa/z2/PN4uB5GiAQuuus7JWU9fgsS8bC8FVq0SRDv44B62WYDG1NUH2R7aCJkRgF0HCIeVfN8ZA0d7V3wRALVIF1RoTYMeAExCKFRVQqsZmCXgs51t3dzBtGYJHtxoYi/3D8G/qqDgfaPrBrAL64dBtsZgH94cl7SNagcXB72H07Hpd9iUPOO3gwyNFbxUUxPEJguCc6iMeD8hR0h+NzfnZHPxmCzPTcJf2ECW1908fAjCi0snJoAA+D3toD3N3R2wNrXgzlq7weSGsrr8kgS3xiNDmJHbAT/mtqMGc1AiuTalGrB07ohF/daSdqqDt8PsLbZIFnlZP+dqNFgRDQDNB6SseS9FO9XCGgTBMIEDXr3xN+cN75XxvVXrIe7aTMEva+RIrU7zwPvcLeNLiQsBmpdtGXcmRkfggaLdHIGTcUgrGqVTONsGm/ieFtmNW6M0rhYpoogwqDz7EAhBV/U7ScI6aQYopU2WS/5PX/cl2l29E3CM8Kxn88ENq06fOK1sxOuDJ852KITh9D3wIswxqdhHhsHvUTq1hqi0TICFShGNfgU5UK+PJYJn6Y1esJjhfg9cJBepHZK/CoX38ROGNz3pA1Qyw4CRUM96YCPlUkoy2Rbaq4O30HnrjlJWXOqUk6RjsuorTczMvUnGxPgueLDtXAx+XZzQPrzvIkt814db7AEPDOFbUYfzPk97H1B6iFKkzcuMfF/zl53ythXbS32ctgMLYYKEiZUu4iA+t9upODThHNYLEARPizXgm8mmRRZZYM0C/4BabY1Qe8xEEAtrlFZ0xiaVRE7/jiMwrM4XW5sx2GTjywRtgOP5uh+/GTf5rC2yor10lolwH2TIZAWAvxlQIAQcLdwqhyLRZcluuBrqjxWZmUjfMcHaQGPSbjMx2gRdVIzcawnhQYL8xxwmmLcYNbUQY0XHb7A2oYC0BB+wAnLVQ6OwUEV7YvxA7bPEHupkHf9tD9P5fRSX3kWGi2CerEoAkPHsoWjeF/fAfBCcZXiPECAOvPVHTsF5CKyA8l7+M84OYxpeEFpiBbUbRuSBx8+osC1MgSwV+QCVOLg15CJK7hxIAnN0VE8EsefbRsDtwsuX9B6Xn730p3MsoHkjIKA+mZpWQXiWA78fsSxBdR7KCPVh9L0UaC43Z6OV+dTJMPr4IX4RNST8eNkOkFB2g2kcfr1dCOQXl+r+2CQXTpIq9LCDhlIRFh/faoNuMMvU/mbUFpzlteX6snYXIe8eNG9MI/3jJehEN9V974sCWp7dRiOCtNVkKhpSExZqG/VoZQU8NUZjy5ie34AABAASURBVAG+D3/XF04cJePc8x4OOkXdTgtftxN+xHgS92P+LyS28076Nn84JQI53h1fiUTWQIdiQS8K8jnzjvWE/vVC+B7aFFl6VctG2q4fmlwDb3jvr2HDnT+J57aeXOh84rlXwP4czortTNNWP/Lh/wSm4bC2YvdbPvhb2PKWn5e47aFjE+0gagoBPkWY7m3v+CXc/s5fxpt/7DdPhH0vLGGr/F7k9L9pHulUHH/7p7+JrQ/9Db78d7+Pl3bsw5e/9dRrehrHDCc5ukMIxWtK4dJH0hCTiToogK/2n2+0gXj2W0oZIiW9bYTx0LoYfGIrD3BsXoi6/lof977Rx513BPK8Nf6zE1arCHPnATUYyKJ+9WpU37oFsR4LMbcG8eReDGsJmfyoU5Em71RgAFRBEZF0HPvqqwgMDVCqPi3Do30Bor2AS+SFA0L6tbV4PIAOgYId+vgN4tN6B3xRRVm8jNm6g0rcB5+v5osa3MIoHs+sw+50Fk91cRwX8W9tY8t51bGJ/XjzQg8G1RiSI+/A292b8Z+P2fi1517Gjx5wMVDIEbA6Buc9HwaWANs5AwYk2cwRQMjm9VYolLNdyQhEaLKZLOl4rErCN3suUjwB/v3cVvAgdv/sCH4hvxEWTXz4DPZAg9zFn9pmIHKIBje1HyKSJcGOBLxhkvQWpbPYyn/0uedrYfjy21WsuFOTwSsIeNcsqvNdBhITcRyIFlDWAaFnoFZrYIEIdEXodVxpCPxKUsHH0go+GBP4UEzB+oVwwuTQxJXILtndXKAMkwUIAzCUUCA/PXGtokDQI40dd6FpCzA6p+HawDaaRDLttVYX7qNJLNtfpPbBJu/QdVBlq1SqGwqevpFFpePD0PXlEB3PQgw+gkjfAq7f2MB1sTL+49Gn8ev1r+Eq7wg2aUdxhTYPqCTUxRK0oDKMRvVKvFp7F3Z3/DyqqbegEb+JhMc4zFQVfcoLmHrFk/mdT8v5wNuOGfiNVywY9BwL5F4qTlAjX92GbTXQoV4FnfjEN0lo+1jBI9DUx+eqURi4BXxVYrvR8Y79WPOjvlQrPqBg8Mdj0K+gF00E1iEH/uAK6HGLyjqJjYM5vOsd1OdvWMAVR78A429/D9cd/F+4almOqCF3k+zZJ6ATwKrrSbj0jupmHaqiUDmiiKKfJicWglQJ5dQ0AlqEK8dyUMyAerCAqaRw+mXtHkX82VeR+upzMDvCUJcAHrbpSFM8Az61v2oiT3YFSk7B4ss318CnWY5D5QjIrPoDMBcB0bzbXXUFok1KvGMAh27M4fjaKdhBASrVFBZfzTqUhSnp46+gSRW59S//jTxfUHqS5sYC0gGtNVnTEaNU0vBhn1hAbPg0ywAQsZOkA7ZZxaT3ODxUwWB7t7IFZhYQuW4E1G7bC4922gdf3N/rrf9cYDcrNVdmA25HAg3uI+SyOklr3eoLj0J75kFoL30HEXpU9rYmVKhNwJpSkNypLylw80T3S5UjTC4V2xd2CXhULubJKr3jUnBQhsWxHJFRVdrr/R6YJ7Fj1C3BbhrQfRXUlNjrsqv2MzapadplIfMzEqEpHa9T441H+1vj1xYz5EMMvB2ixdKoYsMqAbl6F/aPbUafX8RkPI0aTcD6MyHtIeJP7SL8Svoq/FnHLYgKve11QabqUSZE6anU1/RwHNFaMgqDiQw6BoLeR1cPVmkCaxQHTV8BhIJYnPwBODSB05UmgTo6uOV65B1VNAr5/t6GDrSqCjMzAjxhNqitsf+lLtnQUIBYDOAJeq4Qpr6O+D7b9jp5Ns5Qpi7A57T/yL+LYvNPA8N3ABtpPhhLvvY2dqjVzZY8TsYJeYZjDsuydK0V4F9+bgiVsSkwaCEDLkDj+mSypfJhf1a86/NX558iOayOuJoAT14tEKJBApZtroZL5dCJbzMtYUGIEojEdocWatnclImjDVjzn2qyX/tPTTeSjMfuttLjoLan0MRbAL4nve+wpHFebZUWkgRWGGFXoSKBfc77P6xfho2UV3/UxNuHuiXhQ5MLeHG+eAKsvq4jBb0n7JOixUMlIWlvHggZ5VfGZ9F+BvI+5Wbg/n/uG0OyVEXa0JBsyTs7dzTRcFx0JQ8j6RzBHC2K8NdhDA5xfXEibPJ7q5WpT+7pxuoggqxZxvh1ZRoTgPVHZ/HT6jG8I9iGn7K/it90/gVrqB9HIqvB15MzYdvkP2cNCJ11ggArMlEOOqHO9oepTOCbrGNJvq+VAoiFafhuGe6We7BYnnUTBrzeEUQVenGURN31oGhJxBhwp/dXJWCZvDE70aD36qMjPYtAiULVUux9QUrMTkq6IBm+G+l4vVoyLVMQDZokSNul17x5Qf2SqqvbRiDCNsnzx+6+CQhBsvikgqYToDbly8z7m08jPu9hxTOkvjmLtZ8dRaJ+O+hVQiGpoZYI4BN9+ws2GekiNCc5JKkFAoDejeLW4WtRzHgj0r+9UMYOhRbEmskI3IgP3bGhIwa+mqsHwaBnLLeARJ4egjyrdpH0y3vfbg3IDPhL1MVAGp+vzgHteSQfT8ogs6/H8Ex0GZzKLJRmODYy3dkUn/XM50pz+EeTG8DzULa3lU31rlVnIZwajo8J6KVxGeRGO7G3Fr6/Zd6c9ENiVWiSbokukh1jUp7jo1EdVGnBYAJVGpsbwQI8jerWXA3ReSdRA9GJ56m8r4BfeltulAEtTW3vbh/pafmcaVhKyN/KwTG4lN/vZRR8OO7CRjigxZSwLrHEpZCEGo0skyFrGyHG8aoN8Je0/6B4+ETMw7yu4xj1n+daQLAkXqRx+zyatKifA8MkT7+jooHWIbDNjsD2w7RP3+XOG3c4ielpwKZnY1Bdn1kALzAkv/minGdyuyu9ZQtqV61mUnQdPIj7ry5i/RUAywMzswB/YcvnuzPIzjz28BEhaa/cFOBt9/u4i/CJlSsCOb7z/MT1FKSuvRmekQRK89j/tScxflTFciWJSN2Csr8b/zxzFJ8p74cb65JpqTXKiGyBEfbpqJPgD41Q7vVA6zBQx3NQp0uo9zQhVA+i5iFPE+ihOQ9yd7uuYjOVJ7/gUSpAluYgdYRtx1RCviQDSGPZ8lBrAwQ58a26z4ZUVVcaiKrhM4au16aL8aN4sDeBP1gbRZN4jbbQOGtCvNHmb0t7wRjEWYkWBTAd7zoXtAD8i/tnEdNIeKNw7cVHqc7zmN8LCOohGza+iDvuehTXXbkdKwbn0RGvYbh7HBEkIaYPw6nug5/IwHnXzwG08IslrvbRMk/WJ8GgO5O8O7aSjbOqod44zTcVmDPqkjSJHkX6F0dP1r30IO32W8/0I+8f6DubTuDPP/VFYmHBWevhN37h/Xj0X/8UX/vHP8DmDavwC7/9Z3C9sD88/uwO6X7THdfjG//0h3jmq/8TQ/0hT+ME/+xvvoB/+sLD+PmfeDue+son8PV/+gP2/p6psDV8z7L73y+j9771Ttx4zXpELANrVgzizpuvxpPP06D2Gh7F00PhRLFnXkPsyxPFRMikvYAmQQCBOeGAYAQpcp39VmhwNZCGT0NxE+FgjNblZpPSpubOL6xIwovQ3HdvgUhF0DU7gU0v52XMURLmpYW0NvAcU+cxpy/HlMjSAHkATkug6T7LLneeKNMcBCVBidDtV6nDG2kWL+GJKvYXbYz5LnwrgHJkDyZT9IwEQvgknD3WU4diVmHY3TC27aDYZ7+NPU/AbIwg7RmIRFQ4WRXoWwl96E5sydyMq+outISC2v03YPHk5PQUeYLFfrPJBTbQ3knHDv5zkE7FwvpSBx6rhBMO9mfFAx6D7fyJJYPtH81vgCEUVFa7qKxxIXfv0/Pq83Uk9lpQjeUIdA3nOkpmbr+Pnf8Stp/lBLCvILBdIUE1duw7SIhRDG2hZ6TMr9m6DHuSOcz4dYhoKLgZx8P2RsEn7gi9gxtMBTc6DaiVGgHLOjxqU8a8guQruhTAThC/RgvvcIdVBe9W1RHFUpeRU1CdD1Cp57Huqi8iZU3DcLvx7eqUJL/Tz+KGWkTa91GCFkLG3gZCOUBrjLMBLzIEX02hEb8TFvUtM/1d1EaegdX3PFbe8GmsXLMVHaIBy4vBKtyNWu69qDu/gvzwr6Ga+jHUy7ciUe1EzqN2SSk6tHjn0oq8HvXQ27cPk6/45Hv+m89tHyoq8B2BbgJzecf7UrEU7rok8DmJBip+Gv+14ONb9TDvjCLAf/j6r9UkOpSrZfQFfzvm/BelYtCX1cGrXoIddUnwdSWNP7AcqZSP67oPIbXrUegPEMjc2qnABNce/CRYuGU7C8Cp5hR0owu+HlA6FQhhQCVl0aRAgUJtk96NVUAQK6ESXyDBVYFF70CBwUmcUIIQieiOg9Kt0iJPYmpc2uvz0oAl0lCETvkIOJZNngGiQRXudI7s4S34EewmHK1Kk5oYKkYGqinCQNKbrfMjM+M60HBQyTQw3z0PR5RRC2bBn3iz4nqZazyNfJ+H0rp+lN/yZuRvXo/ioI5C4SmUdv0jbG8e3IcpWej0rthkFaHnZrOKCTZgiyIUV4fqmWBQeko8DQ/Eh5BGp3IV+Ip0AGKuHx697/+fvf8AsOs4zoTRr0+6Oc6dHAHMICcCYBIYRYoSqWjKytFJkqNsP9v6veu36/fb6//3etc5SbZsS7ItWVQyxSBSDGAASRCByDlMznNzPulV9Zk7mAEGTCIp2atzT+fq3F1dVd2nb2n+64tKj41ynw2e77jk4fnGXq6hwSyyDdDDnolaBdqh3Z6jkIUecaFCoFlVpR+XQaMxFV1G6M6MLuMcPjGSUgLIUhsdO1SR8ZqvcqmNxuRa4kcLYplWYkqFrFO10yOkWHC3KzcBCwZ0KGgJyKivu6bODyWbNqdoisv8NKq3tLwG2qBlIkv4MEhDqVX1KrV3LgdGcjfYIzg+SwQ/4WcIauecBaERAxttRX+SOhbAyCKGipwERgmx5RUohYSfDO4oMYmjLK2Vsq+iXp3Av54nLpYC7UQSvA7cRci5QsLIGo25UESHYSgUCtTqgK7WYJpeHSqhKrifZeAPWWsIgybmyS7i+V+3ErW1ujLtEye8fmisyyzskQEvorV16Fhzs4bWPv1FoF48aHJSLGwqXHqdDMc0ah4eZGE3u0NRAX8XiM5RaHNnAocOe+XmsBdThFLBOJphkk1endneUMwo/0n2IBqMKzOzf9Z8I8JqRIKYwkE5epu0h0PSIDoNMAJB6ZhddIf3ANF77PnEtIeP+VoXdm8iYTybDaUYgCBaJWDVaKPcAj9MR7D5UqpxCt4NBEgIoUjwBA2UX1rbjaRPR9F2MFku4JpUDHx9CwN8dXASDWE1l8UOB1C0LBw/ewiHaZ1hGFaL4/z9mTHwhhr7L1ZfPDsGPgXfU62jNWCA0+I2TpPwxaEuaVo1hh0DD2FddC+0agYsHPra1xV8+V8UsCmFRPcryM6aSDmD+GDft6GFHewMHMYnO/4NH5n7En7WfgzrH/9YAAAQAElEQVRbnTOw7DwUxYdaaBt4Q61sO7LOd3amqEgqbSy76A3pZL/4ns17uHog4vXPxZAXt2kjQwDhOLujGfbWnUuAmZaGpqE54tGC46UKVCUGYRDOFy5MWiM4Qma2RoaDRGoWvsBFgSR5vuS7sLGdan9J2JcN4PN7oPUrC5Y8gFev8wEWjp3sNqGc2AftiXuhHNqP1qYR9sbkaQuVg+OwqQix4BR0vw4+uVn74K/ASXVAngK9998RC85C0OwuuH44DqDO5mX8V6o5vij4/nBH9UGtpCFop9zxhVEMrZRJhcNCmqyptOFUbKI2Ul34KhWC5f4D+FQ1H0xgmAiVm82ynWXjdVWMg3ktYvqjgY8WC9L69IjMf5j4yCaa+v26AlsL4IDRRkLsZ2XYlTTmPf8k5/F8d5Nw7qZA52Wg2akyFJtop1pG4kyrkJMw0/5mTNcFDFug05iVfrraLM2GlhTrpXXOPYQR+35MOrtRsSaoRy04qkCzejWqbVeB73h3VT/19QUoZgnGnCLjLdaMwUnptC7Bm9JzXtMRgh8t4KfBx9Sc3AJtpsDgoCuqgOHJOFqjXl7831x/XrDxjEGDr+IiQDy0G1HBB3+WS4THTkb3AwrVjSi9ZhvYXlYl6KzjtUXBHYSJkvRjbdVKSpsso6M00g0d9fk/mY5+bw9UwsMsj8i9503g8Vfd0EtCdw+HJJ86gGvWlHD3exzwn6qy8J035+t1gBVfEcdhWze7oGQpB+DqHS7iMaBGQ3ouDdj+KA7o78PYrB+9tKG5LfIsOmkItCkhJMsxxA+vwIPlIfw35FAkGk4rzch03GhCmr6CC402EetEzpVbqlCGMsBEDtWECdD8UWlDpqxoGBwMokaboS1dGni9zcwL3EPUljXHm0MBLB07e2quzKOTxglb2D3nsA2YozqyLbUUzbPXK1O1CirlHO7pSWBfWwSHSHaRd+rU7uKydJiG/3z+GB6rjIBlEJcBLOPx+dwx8Enzu04MYn2+CmvLTtiN/wDZ/Qhy512otFas3HwILQOHseq6x3D1XV/CHR/9Am646RhVNA2nQrxFOOgJ2+fbfZmsaC4F8N6wh884nDfOGpty7F5OmTGvjfWcgLAuh1DCNAaaZuC6Lgrz9OflUD/2abTAZ3/2J3H01AU8vtv7Arzhv9hMklC+vSWJVb0duOGaTQgGCF8QALfxn/39N/DOO96EX/25n8SKnnbEY2Gw7JaCMTOXxT987QH8+qffj4/cfTs4nbbmJAe9YUp5w3K6PKP/cD6mZWP33iPYsGbFqyq7ZXgIUbMvFzK+qgRfg0iGoNWD0qnDQ9oV11sQ/Iq36OJFHl2EZGjdoUVC2jyNFza2qYV5qoodr5HitLUbSQhB6d2yv45kAeBPAckp3+0+r9xTVgabwq2YpZVsioTilbGvy/Bgu4tgG2CRMCm76JR7UwLwEUS6Lkgn4tAEqoJWQQiEgmnYloN6wQvTJs/ihXgfXBI08WdlJ0IRTCWzEIqL8JHKkushZGINjRYn5+hjSFmbiGAy4PTZyG8xkb6+jvLaAJxuIlZa21C5ioSzEa9tG1EvNdPU5DXFwlyMLBS4zqAKkMkvLwIhRUc/CUSP1tKYtspgBvjz+aP4PC14THi+f7Yfv5DZBEMoYGG7GS4h/NRhRO/dBeUM7R7PHoUgASOnV16lwYw7bL1MTRy0pbDdoq5eLGzne+34nsfoqW+j//oy/HEiKmdiGKKNi7proxJKUloajPlrZchx2dv4HwArEZFh4TOaFMQZMz842qqWy3D1OnQtCAWGTP9STQwqqGZddMQeRLR9As1uBqenVDABEBI6rnlqCP337ceGWkCe4Dtd95jRMrxNDqsChLQJCAGY84R4NbQdpeSd8LlRpHwPQk3dB0UvQXebSFj1LtixjYgUN0IRfagMhMGP6+f6umhzazhVZh9PlWIksCBhQLx5DIH0cRSnvMXfC11en6sCLbSR0aLPoievgAXwl0JKwqHiUQ9HDQO/m7XBAvYEEcG/G1fx2agCtvPpid3VVYiLDeCHCWFWVUyDVSVaQr49DZfEwDjrwF65nsGgP/IN8AkFpZCRxFP9Q78CPn3A7m363gWhe8BMQ9fDcDUX9WAJCv10EYeOEPxogaYamOg9hvOdhzDbcQYqDPiFh2Ox6PEfG6SxbMI1dOkbHRqUZkOAqooQpazQfNZQDWTgaIBPDyH22EGI2QkJK6g9XEXAVk3UykRRk69vkaCJv+yxQ0G0nY1iy8Pt6D3UAj9JslQ3AF1EKX0DDuqoOjMomaOY29KFmY0pTFZ3YXKrHxNvHUCacEA6RGHpR8BXv1AW0LKCDalC8PKtON76YdGmgGppEK5ODGKdUs/KfPi/CBRqC46kk3BYZFrgOoTPMA0TJZl2pdvm4CVKKVakmz85rtUpzTpIaANQM0t/5fwxgHCYdOSz8CeBZhK4Choq9agL3qyzfQRfA6IkdFdJ+M6wfLq98Rk3M7pM1HYPNSFDUlrGxaEOiut4gsCQ3YHwaY2jga+7mRYVfHbmKTCjzPOptRZHk+FDUpEgr7vW6GNCo3CpPTjDRnuw/QdVB2q00FAivYSHyJAvCxQV3cEmewLjhR7yU+EqKvxpH/g+ndOd65BUyZve8cu7kXxf2atY3niytZiMaM+fcn/w3H6wEND1kxCduMx+TWBAF8jOViWc5qfySBuksFSY3vyqBLw6NZMAYD74h2rEE172fGcr25oSL40nGe7VqC2bvbT5dBxvijPT1hD2sHDm1aT5cuMwY//ntG4X9CqWu05Gqw1DOFXCYTHw5m8j3RXbNMLR1IdjPZgbmwF/St8Iu5KZnhMyiE8XzqNV6WaNGetfnX0K/MeEXHc+9fnesEez+ZUQg+DbCtE4qjfeGvHrNL/CIW9A240jeAR9MzFXZOBMriKF1Xz1SFBVsPg6GQ43CNfxPGkqUhqE8DbQWGUBGoe9lApQdRqCiY3RKG6Ih/FbG/vAwnaOWz3xAGp7vopz02fB17ew0H0uEMbeeBu641FZljwJytNE85670Ifw/geXfML/DqHgrYUy+ocncej7+6E/e1zSW4EXzmDX0JQUfLOA//aIn9YxAaZzz511SZhRR0t4Ao+veiseb78eLZ0ncEv3fWizT0DYNM8cG4KIr6iaQUyZQ5t7BlevfByHmnuxTT+DtxkH4HNdOBMuLHslnvbfib/xfxzfiv4KLK0ND43PcfVwU2sCJSpjwAX8tGkw4tekP2tVEsg32pxP+bPfYmX7KRJ58DpAxsKrjJ6HduSkdJurPSGXdMxrzjz6UNV2MLMsT7iTgCzkL8EVLopFV17xYFdrCPlJ6EfwfqN1Pva8QVJk/dt/D3XQy2fe1zN4rWLlCwAvImjxgF++7kZp4SNwkfdob7IuvJWahX0Hijh2vIoLI3XUTK9tFgBehqWaBahLoftq0MOGpJfUw89Ae+q7tBn9AqixkLlgYXoXrZnUty2d46i+/TNw1u2Q9TTv/jnYW29AqjCLguLh5GrUAe17QMvkX0YJlgeppTbAJYG7QvwEQ9Tjq1Ai2pftofkv8gTtEqnFMuoBG65hIFiqyzuuhV1jMFhN3pxPpjXprlmLCFrp8/po633ziwAlv05PYrEgLaXS+CB/5pHIwLU+wPFFsd9oh5YfZa/LFNM0+2vT+OPMQTA/cGewl4R1Ho67FNisEGIjz6iWl3N1bv5qypN6M0wLSBJf2RQdIgjAV4hDm8tJO2sRZQVRcnFJOypk86MFEauHeNUk0UHboMPDp2a0C6Wem4hWzkCYFahFgUsfbf6EO58CvzRssTsiiA8lj4LrlaksxsiFZWlrGbBICxrdAOGRoJjBBrUEflK2gjuKKrZN2Ohw8nBSLkasK8yLagnD/gBHQ5emSvOGiiLNhytB8H84sWPxKfe2NvYBJqe9Olc29HkepNf6O5F7904ai948IC/irwdgtiahEq6JPHoABgXx5vSO7Q7eeZeDD77fwa03ubjlZheNzWCOx4phr9riQtcAhYr18PcVPH0wjiOV6yTsjS3PYmvrGUSIZY2YfmzMdyN5phvHUMev0mZlYx4g4o1HQTgkrHRChDXk56+VcdNZyCtldBuC+I5xI4zZM0HOHpspb7n20vqWCuRg+FRKOSvDdBGXZkM7VPfa+DqfoDEtpPc/Fx1ppufbv0n3YKTnq9CUsQsYos3ZciCAYDiBUSOPIaeMpwoeD8xJ8rxq0PDsDgkdLINgOoHdV1J8lcwJ4gGbc0W8/xxJq30Bwms7YfGXUhRp+LQC1RHU1lkIWu94A5+vRHQVP01garvJFED4qOabhjzZHvXanKJe8eUNs5sCHTL8pkCnNF9Mc2jtM2NeG+o5GhCXANtaC0LhvJQBVDIe3CUgPzznhUngjVZD0y9a3+amOH7hE+8Gn3K3ie5YDvjpPUfwr99+FH/z5X/H7//pl/FffuUjJAtQkaFxcvr8KPEiFXzmc/8bH/vlP8Bf/9N3UK15+Pfw8fMyuaMnL8iwn/2NP8K9D88fIJMhr792+Qh5/fP8kchhfHJW3uXD9/kspypVr5MWF5Y7t0BCiY/95B0L3h1NAbxc1Z5KwBfuhF810RrM0SBRXnbcl5vHK4XrIgIoaASgE3KPx6vSjBCx0duUeumy0SLv01UEwuUlsJHV7SSwUpEqFpb4v9KyXQm++5Z+lDethQENv/RoBXa9uJDPbe0d6AmEUVDr2J6oYCi4ExkthDkjh1T2aQm34c2GLF99WENS90u/zhYfgpqCGvcsrU3+qoqmpqhElLpehabUIYoqph40gMNHMGQ0ES6PITHqA7QI7m1ToYbq1H4dSOw5hjYrI9NdXIfU2b2o+NYjZlMaloKmNYaEaW8NILHNgP9OHcbtccR2eP6L415qr1V0pGNZBP0Kro62oD8VlWkxXFunHxHauu5WQhioRPHPxdP449IL2GNNybb5L+Vt+PnCBgQNFb7tVE8SvrU9uh/RoUkEScjuS0agbzCgvEWHcnsLojuDC2lz+g0187xA4xqZzW/z44b3RtARrKPt/LfAJ4R9NMZ9fs993U8GwY824sc5fwE5w4HPl0KYiIsOWvQbaS42m7gsuorwph50IEAEnyr7raniW7Y8i+O+lN2qFaAIgZZEatm0WohYKo+6CBhTiHSfQCyWRYuTxu7iqCzDB+txhHIF+GjMvLsWBs+DQVWTpqunYYTHKX3qn8QUXBWIJpsW8kn2vgVaaiP8kQ74Uj3QV5Lb/lUkSluw4uxVCGlxRDfGwP3I9WjtDcFHREpT1QcRSC+kk+q+Bmq0F0akgu5mEjofxEIYx1tOma6GqF6ktrTRR8K+CU27LE5bKEBlrqMQqGBUTco6fbjZh79fFcKm5oBUH2v1Sf/HaBy3JrZjIHatVGtjN2BL8m1SxY02VJtycKiv4yMOWjZukHF81Kf+VArRuz+Clg98HO1rViH+lrtkWOTgLrztqjJuXFeAEZqFEgAAEABJREFUoarQwknwJKzH8zK8KxmV5e2OrYDfCFD7VVHtnaI2MBHQ/eiJd8vwhbrT2EqcHZVx/XdfDx7bSV8JPmLi1ZqKlnAAK5o8fKUGAySMqmAmfBiAikB9FZL3HUDzub1IkBACigLLVyWGJiHTi6doDIUuLOQXXNUi/YNCQ6vbimQkiYiRwGb/7XhT6UO4+sx7seHUrVhxfA1ax/uRLPeiKd2BTmUAHclN6Bl4F40ZAbN0HtHuikwrVKf+iQbA9VlJYyVIdRZ6AU0JG4pRQLQWpTHqgyBcx+0a80fBOJ3hWa0cCFBf+6HMtnrphXMyLQ67VLVZdQkTjBL+sPzS3tKtLcBz33AerAJVL52euCrLbKxU5XgN3q7C16oi6KhoPelHhxXAc2ISluaA8dRtHR34YFc/Ngx2wiI2svlGG7zuuPoc4aMABtLr4BdeGvv7pvB7hb3IkaQ7Mh3Gbx24Fe1WKwIRBeuavDa5tA4Nt6oItCYo/5eAa8B3NC2fXnd7AKGwCo0mMSu2d7cvD/tSaS0Xvs/Jyfa7OhaX7ZwVNljIHVJMqOkQBAnaAyTgUVQDvqwPca2E84lWOQeTPg024R8z4pdxl0v/5fgFdUv2dWtzq0wn1rIRc8SodIkhhH06tI52Gf6Jdi8fQwMEgK52Q8JzHn5NR9RXJF/idXRHwvcmwgvhDPPDUmv6fLI8ZVq/eew2xfUXLVeMGMiQ/+K4fyXlXt0TwFUbNZnfhbNe+1yX8PDClK/0ovm+knyCWgC66/UHx5sNlHFP9Sz2upP41ponMbhqELHE0jo0+yZluUJNG5aUo/9qH1wFyGY70R85idERDUcOGUtgOi6ZR4WsIdNau+piW3IZfjv/DO6vD8qwdzT14i9X3SDneyN+JJJCu6hhr68P1bC5kEdzUpVxgoEE/LoJRThwfF4ZdnTH0ew3kDVNfHN0Wo69a9riC3EbaTe3GdApTktV4LemD+HXuoOXwTRglzOvjnt16lvdiV++th8rW0IyfmtMwb6jPXjk+F3IvHAMJbWKn9rUjWokCn429bQgngjgdP4MHq9tw2ytCXtObUQ+e0rG7zgzhOZH9+ETVPa3D05h47kxZPafkvQWSODef9+zuHF4Gr+yvgNtlRp0mtNNtJakx2pwXBubVx3BH6r/jJU0/77W/z5UkjXcue57+Nymv8L/tfEv8LnNf4tfWPMl/Pzar+C2dQ/hQqodxdYwPohnEQtoMLVbMHFoC+zHI9gcWY+Mrw27SAhm0jjn63kEVeID6zpA5A50cnQUizhKTGqjjaqaK9u8Jejz6nPJWGhr8cu+C5QKcq1sOvAQEg/+A8L3fZHq4ocWb0KyZ5n+avfJeNVyGH7LR6UALNo8VggfCbjgTRVhaSRUMdFLQixT9aGzfdOSMjRf2I/A1AWEn71viT+XvZWENTzfA83Nl4Vx+KtV8WRUljuh25elO3eKGP/7/Bj/hobTXxJ45I/rePyLNRy7z0V1Wr0MfrkyOLMatbeLVGoacZLIyjp09SC881Y0rWhGJJyGQevr+fq1gBDo3tGEjhUdF9PuSKLlPe9D9K73IuaW4Dou8vUQLL8FPwnqOsKUPsVbLu8X82teMQBfLAUl0gIl2oZwx0r4NA1cvrYmQ+bfbtel2yShKsNEXQMh6of2C99GR0xBckVKhsdLGs1xAUu8PjzipfX4RMcamS+X9TOd62VZGzDX064h+0+KsvS/sSUIw+/HmVAHmI/pqJ2V/mrUxTF9Fn9aOYhfyjyJvyodAfOZTNf8Vt9WCdNIc7FZK9ZkXXd0nINhlzE2F5dlmY23Ud8I9NeLCITyUFQN7U+dQ8uDe7CYJ9rW/DZclXwH3tTyIexouRMd/l5JKyWTxpI8m3oHYITmoBG9FKpr6JinG2VZKiXZ976mCNrbo5B+l8zjhl9/ql+mzzQZ05mOPinL23Mpbb1M/K6mGJL+blnfD0Tm8BsdAXy+I4gP5w3wl58B1wIiKtJE2zfyWzBpXOqqhSk1Bo3ond4Ob2zdQDi9k/BYWVXghq6SZalrI5IG5ri85na105gmGs2p+dE6QLTuzRvhu2Mbou+5dtm6ht99DXzJCEKFEjqOnUOHU19o8762AK7d6l82HudnKNTubQriUQFBefLatfbN16Ll6hsR8Cm4NvgUWsMFhEMCIarHNWMbEHOTmKXyPye88d7SFpf1CAkLffGVMCI+lFtrUMaLqAdKNK8dBGouVFcAROM7FQc9RF9t2RqFsA0YioM2ouUDtO7oui37a7HMhtejEaHIPN7THsRPUR9wG7LfGZ+OuqvIPuqMUV2W6Ueu58tRiewIXmgOQQv48X4aH1elR6E6Fo7n0vgfpb14DCOShud50hMI42sDb8Ef9F4ry3V/fRCLaYDF+fFce4DCeV7+5kwVSaJPIoT/OjqSEteFtl+HKWsdBBysXHcKse7bkey+EZH+j8DX/imYj6twJzugGgaiH3unjLM4/Rez/07fdvy37h346e41VxwDi+OH+zRZn9QV5BJNPRr4EXnlsvTY/4eiiM7Ad/fgDVcPH3jJ6n6U5KsT02l8b9fzy8KeH57AvkOncILoqkg4iH/82oM4NzSOqZm0hG9KxHD3XTfj3W/diX/8t+/h//2Lf5X+k/PhKcJRP/WBt2H75tX47T/4O9z/6HMy/I3QaBi/Edn86OVhWjbS2cIVlUuEyeJS/zXtlHzjvifwD3/yObSk4gtB43MVvBJVNIOomZT37DAs2sG5YtxXmO4Pko5Tj8gynUkflibqyZdVp1LBq8t0YWYJ/Izmk+kUh+aW+P8gZbw0rnFrL7JaFMlZFf1Pjy7Jpw9Rmf+TsxewVgli1BnAlBHF8OhDSB97BqVAFWqTjfycjZN7ajJu2arCsV1k6rSouy4KZQqvB4gB0KDqJlTkUSraqJw7gzq5T0a6Ybo+3HZSQakWwi5fKyabhuCqKlBegczf/CGmHn1Epi3LPp5Gee8jcNQ3waXFLkNg07R5I8MafZ2vYFwjlSHV8LuCOT1nYcQ3C4d+3XbkYj7z8Dm/iQgMbJ1N4ancBIYrRVyrteJ35nbgptEO2T5zfVT3YAWlbzyDWrqAUiSEqbuuw/i7b8D49nUYT4VJVTGevrw8T3+zgMPfq8p5sOImFc3XuJgaGUb1qS+iVpqBGRxDLaERkT8t3WH3KbRvVbFxog27zCnMlE1UlTZUag7mjo9dVn5ul9LZSVlOHk/506a089ypTtjLwnOcF1PHDpSw/7Ei9txfxNxMHmbVxYXnNHBdOGx49GI9T95XheJW4Iu+AH/bHByhwHEAUxRlOd48qkqTy9N/Ki/t38/MolgLoFyv4GTuaZypPwC7rYhKDNhf2otTM8cXyj0Z/gAywZsxFfkYxn1XY2YN9SRtDPncZph+H8ajXlkuzE3gmel/QTXoLSalaeqzucpCOnljDYShoa3jGKYOjuP8ufJC2KVtcWSmgsQsj2WHCEWgk/rgdNG6DH7qXB0gwjcbKmCynsSn/S6utxfDlTFQM/FmzZH1/u2hMoqFXtjFXtSLHSjkolIl1NXIpmZRD5uwhmoYzgVQuvluqXIf+g3MdG5ayJvt5f6tqM7OYvah+7CyJ4fWpIDjD8kxZvvqME0VU2lbxqkWU+QGLO6UkAkXCrlVFPNRGd6oe/6xI6gVq8j3tmE8EMLs1tWyzP7SLGoVE8PDFQnvmhHqXwM20Ua50BBm82lU1DgUfQPMJzIoP/88HEXAVixUy3FiFG2cKD2Js/m9OE+4nPOb6WiVafOYyCeimC6NS7d9kvDrIRuYCSA0lULsbB2JkzNosW5G3/lb0br3WviLV0HU18MfWgv+E62hk8+hGLRk/Jnhmiwj5yHMpPQ7nz6PQi0PlPxUbyBtUX1MG1YtvADL8KxExIYz0otKycFI/sJl4QzDam6mINPO08bDOAl7uB41GgccNvn0U7JvKv4oKv6YhJvbNwnHcpG3HAym58vIOGx1BbkWEzXCoTMvVPG16bMS/q1Kr8z7zJEqesoxFAM1/Im1H+fT52R4YLYH9hkVVRIy/XXTMfzB6AHMlGpYdawdP7f/OsSEAafZpT6geuarMi0u23LKdlxMZaovCrNcvOX8bMOW5ZPtAfs1SZPzeX66gvPECAsXSJm6THfPWAbQHOy0RnA20wmHRv8GYv4UndqlEkaKcMswDaXz0yUkba9cJxbhA073laiJ2Qxq1RKqNuWfcWUZHhpTMFs10apl0dvRgRrNrW6ih+KlugwfHanApXLBUKVb5jdjoUoCbfbOhyqyvVBULob/AGWU6f8A8StOVZZH9h/NEVuYL1quXMlEqWq9KMyLlWlFf13m98JRC6cJv3SaYenePTf5qtNcnN/gZAX/8NUavvivdfwFCfMeeLyK//f8YRRofkdLYe4CfLt2Ep88/TgeHR9fyLM4582zadObh400yyTIDq8QMl4k76I5cAJc9ntoDWzAXGqePE/zm9rSRxvsHPY/Bw/is4NPSzojQgKBXwxtwoe0NbDzYiH/yelJnKf19uzjH0BTPYfnZ6YXwhTNlm00NCUQYoEDjbD0cHoh/Pa2JPkAxzNFaW4IhxbCOH9WebOOOlFqNRLSrhg7j0q2ehkMw11JNddMWYbnM944b8BduDBBuCRC+So4dn4zRp/4Dh6/MI6O7CRWEu17ciqDvYd24+yBCIoIUgkMlOohHNudRvp7z6P29HGZbqmvHakda3B0VSfu7W3F37al8IyiwmfZeO9MFqv++XHY2RJMwqdDZYEz5wrw61V0tY3DqpXwjuJ9uMk9iL/p/RCe0zpwkIRqz1shPOkk8QDa8V1SD0Q2Y7CpDXfWnyY600UluBPlq94BMxFBndJeec8uXEXtlK5Z+KnTecwGwlgVCSKbq+M44RQBoOBTsXc6B8Yx3AaHJvNUd6An4F++PYmRtS6chj08idJDT6C4+3GUz54GzzfXaKX1P4FJoq85rSWqUkGexixImKRZBuUMTBw/iyBtHoFyHBwq49SpHK3xNsLhHCACmC34lpQhe/AFmQ/TDbxGLU5/9uygDCtGmpfEWQzzauxpJSTTzU5MXZbuKM150BOGiSDRJv6aAmtMxfgBG/u+WsepoeJlcS4twwjRXy7VP5GaQub4uMyr0LEac9veivT1H0Vz1wTlQMuErUChxUNrcZZNc2bV1QgR/hZCwLZUVEMuirQmT9G8conHuTTfl+OeS12NmhJADTpmRCsGxyxZvjoJLDl++oJHh+Si5G8LlNvvRFlQe6UnUNr9ZUxSvjXCG4GyC6Zz0uVZcLzXW/mLOlaKGPoQRaoSvCzPNjco6/Hs1DTMXBUp6ruskcAzogXF8y/gL4aO4oNnvi9pkr35aQm7EjG83z+AT/k3XJZeoz5nhkpwzBqCfgstgWk4tH4PpWMy/u5aEPU6sKI+Akd1gboBq+DhwTzRrY00ptMOcrmLZS7kTRl/tlxbmm/ZALe1rU6gTkGwBL0AABAASURBVHTF7IWL4Qv9Qjinke6VTKaxVbNV5nF87jlJZ5pEe19KW18pvlppln1rZk+gt1rH3GgNs7SmusJBOKqhm2gZxj9M/yxOg8dlxldBRgTh2Cr4awkeK6WChVsUr10enlVhWN2ybCfn9i/UPxqzpN+Bo/O4e2U3xjtbF8I5n29/r4Z/+VYVvH6OmwKTt22XcWrPE6760qOofeF7qP2vb6H8t99D8Su7kHnkMKbOTC1Jg9M5O1yHSbTXjTfYWLfewo03mUg0U1vHtiPXtAW1QgZvi3wJvYHTKFdt8B7Dyue2woGCL8HCxHQWk3ZA5l0ZHUZhxKb28qMed1CJ1VBurgIkiHeJNy4LFaVpP7WHja2pOYwTvybzNy3EfRmMV2ZlOoL4Ai5bQ31noiz9mW7LkjyBx3SjDb8yVUOW0ub5Z9EGWSPOqzHzF4bwTNSHuuZDp78HrcLGqkINTUQLHi9m8MWpE5irVcGyh/9v5GpJD/D8e7vRJ8v3uQvP4RAJVxfn/Q8jp/AzZ3fJeLc6TVh57IyEne3etNAXU2tuQrncBVrkEO+iPs/7ZNjEqfOY++Kfwy1RmKaj0t+BCcJ9i9N/KfsM8TJriO99KbhG+BRtwPM4LY/bsgwN/4apJ1zwM3HBvCyc/X8oSlUJ8bS98aqn+SWrG4uE8GnaJPnzv/8mTMu6DP7j77sDf/y7v4A//71fwb1f+gO0NCfwte88ugD3Kz/7Xtxx8w785Dtuxm//8oelQJ3XO9CzqrcDP//xd+PNN2yT5jvveBO+/8Q+CnljXuWNyeZHL5ferlZ87hc/dEUVJOKSS+0Q4/5Hf/01uVNyzxd+F5vWrmDvV61MX4+Mq1nT0vxR0HRa4LgcJXecDRgiIc2X0vzCmzxVLK2L1RSRUbVMXpqvh0b8FqauvQpFNYCBsw7cM8ML2fBdeikiCp+sjCOECcxhM9JaBOO0E2uc/Da04hRaLrnLndPTKIWaK4jAF4iR5K2qRmh5VEnoZtFSWUXfXS66e45gpicKaBo6jCBaykDfhA5LCeM47Wq7CQVKrBuB0JvBn4Dq3/wCUKtAPbib0mhHWWvFnKZCCTqU26t701mACbWR2AwUxcV6PXlZQvWkg7CiY0MliRYtgE9HN+BXM1vQM+ox5MUBIlDaHISePwktnYcdCiJ/5zWwk1S3y1Jb6nF+l4ULT9rSc/27NPkHqb6ZY4gf/WcS5BYhkhnYMWKQVR2OPwjFN4fg2HMYuK6EFZU4Bp0S+PPhLNkzFxxkHpwEpykTnNeY2OJysdOORWHM30lo+8C0CPSsglfycPoHvmTi+L9bOPM9G6aRAX+ylD0ZlXXhsN1/UcN+hrnXgjoNRANpGF37YRkGbN2PvFCwQslgwE0geY4A5gvQMVPGBhK0s3OIiMGYWA3+9DGUc6AT8+wIH0zVwIy7FwXnAoPBJYalGt4JR41JN3+alttWB1+jUdhgeX6oY8Z+nmBt1AMVCPJttdMYtcky/1YoDVfzI5AqoK95Pxp3f84HLzH4vvYQLWCKK6ifgBilHy4INO71awALYvZd1UKR8qy5LejSRCMIaecYztv3IOeewl0BBQlFgK+b+WbZG88Voi3OmMAu2sz4RqEVg3ETps+E4bNQPODCXrddqoUEF1kanwqqJ/ZDPXEAiojDMYCKvwS+VkZQmzXAdZrZKivhh+2WoCGIkOjA4kefSMN3dgyuoZPQYUAG1XtbUOvvhF+UoRbKMKn+HKDAgKIY1B8u6gkb/lqahL0VuNEkjMA6+OxeKoNAhQT/bjUMES7BRomjouB6fWq2J+U8Ys9akwYHddq30BGajoCf4moLmabdJPj+HmpdCkorLfB4VmtAcFhjEATCa6VZKh6GHabGJJeRvjjWg/DqmHVOUwjgq4alWQllpLkc7tYjLkSmhcY7UHLHJNxymkbCLPa3wwHU5thG6Se8flX3eASNfe1tQDQuAwPnqtB8wJzpoDwppF9D47rxp5b3q0OoVC0s/ox75gWBEOGmqd40zppzuGAdAWhMNg/2yuh/nDiMe6yzULM63rx/Ld57fiMiAQ2tdzmwQg6CQiAgJOgbonH7NTIyvOZuOH8g86zpokbC4LBw0aN5CfOd0EJxsMkdxWi+F5rfj54egZb2ECAURLJkaMCZfBnd8/NyuWuh8DIf4dDgI1jGUWRgvFzD10igPmUn0OEDCs4Ue4PvbpcW0qyKN+5DYZVc3svrkTAN6aj6TWkGBRVU2n64WtIbrguFCIfcBfvrYQlTV61a6eVx6LBArx6V2Zyoe3NUOn4A7dw5Idd/TqJEXfGlqfPYP1VAfSqAt124Gp92dqBXi2DWqeD3s3vxJ9mD2FU6T3HOw6K1yDZaOOoS1XI1TUEoOH9qO27o2wOfVgVfi7Pc9TJ16t4MVcUwAP4Un/808MHykEyPaa8/a74R232X56FOvoA9u9+K0cHtGJjwY9gqyjis+Qyvvap2DH7DgkJzIlv1cA+H90eCbEgVVBV0Bf3SvlgzwqApoqJmRUC7SHilzwAf76ZIfFUaGQvv+HABpqMjEOEMgth//Cp8/fw4TNqE8jl1nC5mMbd/AnOlZkT8NdzY9xw0RUH6dA/Ke87IdIo3bELxxs0wr1+PLW/ZjmNdzXg8HsKXN/bh7C1bEVpP6wutUwzsUF1PnFVgk6CuMzmIaEiDqffAVfy40zmA37G/hvt6bsfvDXwaf7jqk/izFR/CF3vvxj+RmmpK4ufwOJVN4En9TSiGd3KSiL7zeuT8BtJzOXx4/xFsprrOWjYmQ1FMN7fjDOGis7ShRss54nZdxmEcw5aztE6y2RkihMCWSxSv1dXSHoAEHP7m98K68Z0wf+JTqH3qvwNdmwFFAa/fl0STzpLX7STg1KU7MzaMsGFLu0kDbXKMyiIcJFJz8Ae9NVwGskZ0tTI3wTapGmuUdJAmSPBFBtxUBxuvnYokZFoiT5NA2jytRm3o3Sls49pfzOGG33Bww6cUbH+3i3DMRSXn4twTF8e0tvtBiCFvHfdS8PS5EUfSeon2ObhD3nrtdq6Uga7wo2l+c0yQT3P7CNxwG9mWf8s6jUkjT/PJQTaow6WmVQvV5YFfhq8Z7YYLGpv+BMxoF+EUL1JonlbRaHyxT41oDjZ1fw/y694H24hCK88gcv47sElA569p0EkYWSfBoQPqYwZ+ndXvJHbgvyWvXjaXZjUg/RvXk17nE3D0EF7wd0IvjOJEYVCG3xTowK/Ht+LvWm7F7yR34G3BHgSFLsOW08oZQtAUoIVDiKc0xLQsClUfxpU+TLs+aBbQq49AUGfqBR/GzBhGSGkTGSjFCsW8/BUWAZO3q5J2yWtRnzj6FIRtQl90xYUxOCkhrURYmi+lRcQKCdKgFwOiWbpfjhZUuyVYzSQciRK4vHO0qQZYaO30IaV55U/b85NfQgPaXB4FIuyqQif6UCAe9MLVmsCAroCfPTUXjruBrSi4gzApfXZ0d7lsgPbApHmpxv9tcoqm2siowHfvV1AsAXxtF+Plek8rLOJ77XBQRlOLZehTaQQPnkX833cjfs8Tkk9mfoIBJmlTmM1Us4vNG11Q17JTqnLndajHVyEWqOKGwL24oWkXQiGguRZFfHANpgnBPlmmOe0LwN56g4yj3/8VGkPNcAIGcn0FVFpofqo2fBUFFVVDMKdLuFiXh385f9WuoDMyizLRxRzoF0vX28Z1MlsMwcFSXedTkKD8mV+jpQsxaleVxrkMfJXaMAn8Z2iDNhSIYZ0vAautBQHbwfsrbbjJ34EQ9eWnSfbw6ehGqqNXD86Kr5hjGQ3TKHxdJPux+mbxHPgPiEuuiTuDvfjkuVmw/MTpIPwX9fAuw01MRmE7foR9OUQcb26qex6B8dU/g0J4X4usB1p7UGtRGfx1VTbRk7YPUGuAvoxcwt/k0Spzp2yc+54Fh3jj17VALydxQwPeee0br966/eWUDh/+idvkYeiv3/v4i8JrqoqVPe24MDKJjraUhB0dvyibsYjGKVeqcAk9dLU3y5PwJvlJQNI43LQICZP9jXiVNyKT/8h5/Lc/+gf809e/Rzsqv4hYNIyxyVmpLNrhfDX1stVWGU2tjUjzR0EzhIfIHNRlcQw3Ls2XoxnwYKvuDBoPC7hYsdD0SkRDA/ZVmjJa/zY/jqRWQFR1KKcv5s/E052hXgmzq3weA0YAY84AxvQEpuIWYo/8EWJjDyGUrIB5vuKQkLCppAtbcVEigsbvKigJE3UnJMNCwTSMuItI6TBORTrhagY2dWoIEq171ZiCuojjO3w6NXI/nKQBtfMWBCK3Qxk/D/2rfw7t+UfghrbBFhqOaJROQCb7ijXiQfD4LgUFvYpasCwXNF7oLk3IpN1yXgSuRRv+OnkT7kj3kFDPW3yK88J2/7Eh+I9dkALJwu1XSfPSdBa7q1kXu/+8LgXUGq0hmz+gy1PrgbFnEb7wMIRSh2gqwAnGqB1jKCQ+DJMIVoQcCD2P5vFvYOcv+7B5VRwToRIqYQO6P4bg9LRMc8/n6wv3kGtzBZm12ZqEkfER0QYi8F1YVC8O0HKCDale6u7y84s2CJrXKmge0GC05eGLKFg9UEHvlhLCrQJWFcgOOZg5bKMrkoHefBCITKESasFEeAVKxGis0TO4czIIQR3BBBoTa1yI27J+NvB8pYYmZSualWvQPNYCPwl0/W4/4sIjEhcL3XHJ42pApdeG43NlSMY9jjqy4KccT0OQd29BxWJC1VFjqMauhqAx1d16ABPPePAc51KVdoDOkglefQQ1nwYbyYpD6S2FdGZt2Br5E4HWouhSuGlS7Yfs+5F1j0ngOecQ2O+zUQVBSowJ4c9lHPxWxsafF2ywAP7JkoOjZjPKySzsgA3/RE3GvaIWJYLtmttlsHrwaQilBY7hok4Cd1UY8Iu4DGtoYaUTKgnKdRGBQvPKj2YsfgIveMKOCgkzmLhuhJWvGkDQKEOlhbg2TRwoBfiUuEzLojrzZlVIr6A3ewTq+RdIaB6AahvUJi6qPJYLCTjxGbi0cItaFY2NSkoGlatWwQkFkFsZZCfi6e6FsVtrdaCc89rPIQaa+zu/mfqDIP2EQ3xTCkKBfkDTUSEmuVz3YNWiIAjv9VObsM0GcQxk0Ww/6TQ3tKo0l8PdviQIRwbhpr32K7tjWO4Rtbr05raqznl5+omGUU7sAxOxDgkaHL4n1uenIlLbk1DW1YEcMU4Vootl5EXaSGsJ3/UPQq0q+Fh0jQwpjQsSzgMBn4L+LT40a2Vk3CKi6VaIUhK/0vQ0vp8YRnAugE/svxY7Z3rRtBFY/QEHloeKaRzIpN4wzYh4bcEZGhGXjddEMVOUczIIKcx0R3GWBFtlx0GzqAAzUbhCQSwZBsvhunp8AFGNgbQfUB0J2695xeANLs/2ynXNnJaRHCWGdM3E358ZQ5kYJhgtcHWNBGFT6NcEGsJIpZbHXNGgsgDxJJVJxgZKNBwV4Y0fS/f+CbAxAAAQAElEQVTmFK/D88E/dCORuFiESFhcdLxOtsZd7szgN9UiYOaSmcghq/AD5zg84pX/6u0u1tySx9m+s4T/BHaOboLP0XB7bxx/0HQ9PhZZi5DQwXepH8g9hXNmDveZFfzK7F78SfYg+G7VRmFWrTZgdVgwHRWnn7gB777uaRjUzSx0f+j7Clhg0YAdHvZsbS3eXPhm6Zz0YGE7M9LScYmm2DmM7ldhUfocFBtqx6B5sS3C832Sr8YQDdL4h4ti/iIjlPTpWBUOclR0BP3wqzRppOuiplJ5XRLuOrQmgPDyxZCXZwtQs3aqpBH44jk1dL4CTTGxc+1BNLfpKNlxFE/2oBQMQHcsOKUADkzugBaI4S07HsS2gSexpeU0DBJoPF/uw5mr+1Eb6KJUvZfr8qEV7dLBGwnXb1kFFsZn3ncz7J3rUb1xEyZGaJOZFvzVK08RvhMoJn8C+eSHYCsxrMQ0/sD8Mn5TP76g/lB7Fn+k7MKv2w/R5jPwqH499hk70eWRfAgnIjh98xaw0L1+ZhQ/cegYerIzNF5spCHw5zkb2UodIVrTblrlle1ozusf3oTjwvbPtz/bFyte02qVfbAoD9G2BkbiJjhdK6G4Xn/ZPsCdx1WL49VNYCLvUE+7CNcZQCDti0Ar5CRYJm3DpjU67M9BC1Wh6S3Sv6EpMxMLwhhem3iNUkbPN4Ih5u1uyqvPQsAPaHFpE1QmcckYmzptE2oWiEYySJlfQrL4BaT0r6Nj4BCu+pgNhWo6s1/g3Ok6uJzqgSegPf5tmdRirZ52pTNBNIZSSGMqF8I39vdLP9aiPfOdSo5UdxFMA5J12dcwwoj485S3g7zmh225UNNe+y4b4SU8HV8U2S2fRH7d+yUk4322NISOarpA9Br1Gy1q6ckmHDvmA8dZLHTXa+fAB4UiOY2Ep0DVefXl4bxfC9WjRWQyJ+Y3Rft1wgNC4FiwG3XXwabpExKXsuBwO20mBgmvyggvoVVm5iREIqWj2noVOsMkDKd1/L7qOrCcJ0qoLhXyEKqZi+M7ubW4l9RQ2gcfzVMZ+RJNqVLZyM/2e+OErAtvPdEPV5+GYpXRoBuZV9EyBQlT722V5ktpftFM9HBoAcwvls69hYBlLE5zE8KZAPFINvXtNFTCg7Nlot80ciePEt38HBzYuPSggEIbDDMBA6B2T6k6GjhDWCA6BLjW59V7dy2IiOgDP1nnGBtobXXB6xVvBLMwXXou0s5duOjgMctrGsPVCC8XbtuG3Lt3Ikv4d+6n7kTmfbcg/7ZrUd2wAi4RXyyAZz45+r098H9nDypTFRjEbyXjF9Ns2FzVh8Lqd8EauAUkC8QKHMBO/32AY6NnrlOCfavg8SXWlp2QeGt2HLFTcxBBDcXOMmpJE0KxaYOK2kgPI1jS4RM21FQIjDMr+RpAO2fhoIVy0JBpLqb7+dBTY9P4GgrO0Qb9/B4q7gpIcLgk4/DZgK/J9TxehS6o3HtDAiB+5aaQt77ZHc0ypXDZxKdjG/EF2pi6KeDVWwYs0njDKiR0PFEYxtP778U/j+9BQ/jOtMRHI2ugHdotY9jX3i7NhjZ5xoWg9bGnYy/sZ89Ae+QeKWPhcGf7W6B2XUvjR0etlSrJnq+zsuKOzMFYdDhKepAWaVEwsOkFcEkuPO/ihc/XUJ1kFwX++F22BYIBP37tU+/D7r1HLwtPZwvgK2f4apnvPvwM/uVbj+DGazcjFgmRuQl/+Y/fBgvZh8em8c37n8RbbtpB643AVZsGwOl+/sv3wrYdHDp+Dg8+tgc7r950WR6vl4fyeiX8nyXdvQdPyqp85nP/G3d88DcW1NjErPR/pZplNMsomjklzR8FTUcQix+fElvsfFG7T8RleA1ZLH6sRFQ61UJFmq+HxkSevskjCopHp6DQgt3Ih08eMJPLO6hpaxhzYjOKxBANtTTD0mqInrsXnSOfh8ilkb/gyGiGTgsQBKourWekwq5Avp4kMhkIBjOonhuDVpvBiWAHXH8Y/RrkSfmegoA/rWPK34yng0mYyadgJ8JQe++AP/l2KLzjarSjFFiDtOogS+ulL+HlKTN+BRoL20slYCw+BRYiNAjF5ZKQiwARd4FTGkLnVQnCJ6hrbQ54tz70/HHpV7pmLeyk11/SYxlt+Dkbe75QR5WE7v64wPZPGGjtK4L/HDU49hygFYGmApwAEQW+AeSbPwnT1w0+gW3741BCeahWGpH0s9jWksDpFmrPlIlofyeiHQKtyqwUtrPQnfPSJudkKexUDMasIu0Fgj8dy0k7JhRMHLLlBgDHOfx1E9aioTZULaDsmvLk/OLT+Jvfr6Otuww9mkFQncFa7VFc2/4l3Lnji3j7TzyEbdccwTWrJxCIjUFpfQZWMIVJ2i0/KaKUnoIuUcG658dkGWr9Haj3eITozpG69OM/eWkIMpz8fB0CXUhZGxEXLy10x/xTcWaQc05LlwID1XCRCGCgqepDzppvAxkKCrsOMEIItWbgr42C228+aIkxYrpYYdWg0BhHXIHiAh0lC2espWPRKtTh0KgfV8PgExI59wxG7Ptho0RlCMGPFpkuE7tNCvC2gJDuMo21oBA0LwRu9Svgkyyn6usw2TQLy28hVnFQmN/ckhGW0ZiwYiKUg1wRgaO5MKUARqVy6+y9oELoXLCzJaRcdPP41qfSYIK5uqGPgxcUC5TVdQnpNoeq0tQQkqZqxOH4Ish0tSHvb4FLAlA3w/NEg607JHC3pfBapKahTo9ATI3ALc6i4HgUPRPwmfffgorPw4eJaa9M9RS1ca0iN+A4I2flejbg+F2UVtrSHjqvQav6EIx7BEAl+6z01xdtLulUTgMezgU9QRJSk4FyKMMGfEpMmou1QNO8a6xLWhqnlqRjkaYSs8xOqykKs8g2QA8D6vED0iFPt5PNjSbh82+HsEyUUhaNCxe1NAVc8n4tcBoFzcRtpS70F71ypbkpCS6xwcUt0XZs91dQtE2U00n8amI3zsbySCkBfPLAtWivhNF2nYvWa6ntAPAXGmSgIURi+xuhtDBNlPmM1Hmmb975qo0GU1RzKwjTnGlW/ZD3KWsOrrIncCFHfSU0bN4akHm0kKDPodnnZkJoU7M4R9xiUhUy7NIvVKTny9XcqoR0tBi+OjiJjGmiM+DDio6rMUvNvsY5h7vm5zcDqiRwL9RoUAgFoYjKXmAmkC3qPB4pRmrgPmS/HxUVCbkLRQkt6s8Fzx/Icnlkpk34lDuf/D9LDG+fHpFAQ2Zemq9WY8H31DSkcGHVKhffD5xENOrip1Z24+PXxXHjThfJpJc600D/o+k6KXh/s2LRxqmGk0oL9WsFLIT//fQ+WtNMD5j0G9/vh0k0zVS6DeapGu68NSvz4fweflRg97MCpWINevkoUsFxEnJAxuc1j6LjzlAPG8sqI/08zpxkvOaN2ZbxJC7UqSLz0KH5/imVBEJhTfrOlhRpNrS3tCZgEKP05mS04bXE1CLUx5qGuh0hmmsZhLQEennHat0rX2NNtGm8j06FYagW+puP4F1bvg6X8KNCm04bT9TQY2UROhmHqwVw/bpD6Ex6tMHOzicRiWRxUm/F8PjQZZltjIfxP9b14hfXdC+E8Vplb1mJ6VAK4yNFhIwyOhIlmHoPXOGHrbV4dBW5I6hia+mBBdVV3o2O6j6oJIQ47H8T+HR7h7qQtLRcR0L+xzavQt60IA6cwf/YdQD/9ugzeMeB4zAm5iTMypCOVVQ/dhzNFFGl9k7TBOevCpK+pesvw7DgmA+VwBdA7jqDveTBDoWEgiop9nA16he2zKvxyTr2Hynj/u/mUSpUoVcdxEtRWkdUzPlCaNYnJGSdN4BpbWhrGkFF9cPnH5D+DU254C0mLNx35k+LKif3N4JpDHhrotPcvuD3Wlhcw8PJCtH1i9OblSfTXXSuOAdbjUE4VDdzGMH8o+io/xk2bPfW84kHVZSOHJFROQ1uQ+kgrUBsIR/8CIXz0LJpOI7AmLISxSKQzhIAvXoiidb2EbK5aF1dJ/PKb15phqI7UIiiK9C0cU0F2vw6j1f5OL4YHD2IYslLIBTyTNZV4sHK4RocmodHnt6KFw4KFIuCaKooCenfBz7pDn8NwiwjWvDmd7E+XzFO4Iek+ubxc2MTkGmMhCIwHWjDHjWKVZUs0SrNr7h0lWxZxtECfpjRbnQS3iRpJ/i6uHod6M7X4QvkAKFi/5mt4Mcm2MeKq1BnISzNPfZ7ucqMdhEuykLQINKzXixtrgBB6di0YcY4xvN9aT0oLtY3InpfOsI8BOcRrXeAiGeUTJoL5QLS9RrqNA59sTratBLN9SrRc/MR5g0eOyO0ienSsOhSSCN/20cavUpN4FrD83uc8MWsvZ58gcWn3BsbwJOTMmhBo6pjZFRI993vcSTfXKKxy0L3tIciZFhDY/7AbE+C+eL0R25fInzPTtvQ8iV0TA6BD/QoNN4b8Rab1barMLfqfSg5MXSI0zBKE2jNBdBXtjBn5fFkZQyIJtCgqUN7DkNXfTRGbNi6DT/TUraLIu06RCs+RNQazLYE0nNC9m2Kx0zbAOrwOtmnxNB4+PAT2/s1gdppBWO7BM59W0FpXIBPuctNZaLtooSfVQ9lM/grVsroBRyP+uASPlxnJGR8K6FLU8vQ4Ja2K2vNagB3h1dBJTz6eWcED43tQ2hsBL9RioE37pXzhN9rFTgdK+UGbiMl/pKocNaVzra2Kbg1BeqJ/XLzwnz7x8FyFw504i6o+dj6uqtaCzUo5aJlBelLX5b5bbjpAjbd/Cg0fwnZnIK9XzAx/WRtKeCPXUta4L1vvwnJeGSJHzv+6K+/htvf/+t458d/W/5x6v/nM+/HR+9+Cwfhd37147ROFnD1nZ/BnR/5LYSCfvL7mAyLEv7789/7ZXzpnoew+bafxod/4ffkSfr3v+sWGf5GaMobkcl/5Dwe+uof4diuf7pM9Xa1vqpqMeFsaV5cURl6VWm81pFUcZFiMhCHgpePhf3wFuW6u3TlslNR8NMQnLL99VBiUw0nEiF5WiBzZGkZeAeV89xVOYcNuoK024rhpk6M96+AQhOxuXkIvvIITGI+1IO70ZQEaI3CrMmxgIACVOwwhBAwtArcE8egGTaGw21ggpNP/QXbXQTbgOuHFNScOJ4O9EAvHoMd/z5cvw2t5zb4+j4Kf+x65LQgHova6CFC05/y8ng5+v7aNPhk3OPP22Dmlwncpg15KIqLHSQUvCyNeY+JWQvpQRsZikdyVnldSaXXlhsToac8gr9Ku/g12uWfj3KZUSUB+/F7LZx52ALRcGjfqmL7x3XaTZyVwna9MArBi3+rgBOIoBa6GsXE3ZJB5MTqwU3ktxWOPwjFNwcWzl9DzOOxSBpFx4QVSUEn/mXHtikM9OfQbY9APHgClUfHYNWBcjABNauAF87/ZRzEf63twXC2hMoJF6e/a8kNAM5n5qSD3X9Rw8wpB8fOp6HRxnjmXXINUgAAEABJREFUsRrsQQudUQ3rbyxjIPoI4ge/CHvsMKBWEXLK0PwZCB+1JfII0TjpTz6FvsQM1I5HYAcM1CLXIae3YVddRVr40GFZVMYxzhLcbo0TI7HpPK4xvcXhRD0NqwISpJ2jsQMYk51I7NHRmt2EuNgAfl7spLtDZNS0+zyDIaasRkA0oxoqQnEUxKoRzNnTMqyhmb5uWMEu6EET61Y+ihHq7yr1WyO8YU5UTDQ7DlQIIt40KLSh1F02lxC+NrW5WrdhK8BokGhC5XnMOS/IJLgs3epb0KxeDYVwBBO7VXcGt/oFfi+u4nMxFX+YUPDZqIK7g4IYFIU2r0I4FtHBRHQ4WEf5BDWMTO3Kmn3TO2Wg0FukWfeXqcQChkhId0Pzi2ZZDnYbiC/YQU9jfJe3DhBBqJMP8CAJ/KdsaYW1vgMQCtyzaajpPHyIgx9FUKWFwHCbghciV+HkrW9G9q7NKHbmcW79boic18cichQggXPivAmRT5PgyRsTnAYryy1BsXREci3gscsnLSQBSYFMQIIEFGSVb7XTBp9+Fxa192EdwcAA+Mlrw3CcNFuh0xyQFtICitcuZIVuB+DQz1br1K+hJW3A4ax0FkSRxZ2kOpNZpj4j47KXGR72rCEIHgdaGNCnz4MFKk4kAXm6nQCUxHqoegflasLdZIOJdoZnRcGSmfjszFNkjsPnU/Gh8gACw6pMs7Hh0rTRRVStoZ3moW1q+H0xjslQCUnDh1+r7UCi5oef8HGSBPOcJquK67IBxsvS8gZpASpHIyvtNRLWnqHNr6pTA00TtKp+MnWcpc1poTjoNDMYyfdCozGSSAqZdTgEapsqHFMnAY6K8XoVKeqBII1V/kSYBfh4FY9i52Ssx2dtyr+MhK7jQ6s68YWKt65vwTR4nZNApFkXDtI6p0P3GzAMhXyAOuEMtiiO1z91w0JI0djrR0a1eiSXLA+3pbS8zlr/Si8DPiW+zvAG0QnqW8/31emjY9544LQfM4dxwkyDNzfuDq9EW5uLFX1eHzRSZ6aWBe+3KkXqxxg+0/qT+NPUjTIOH0b4VvF8AxShqMDKmxW4hEUOPH8z2or/jrtJQLF5k0t9DdhzR1E/8U9IzuzDzrZvo78niwdLwzL+Dl8LgkKX9ks1HmNj+wRqVcJVbQ6lD1TmOrGyaEq6huHDNL7ZLBZdGluewyXBBvs11JpEGH947Tqsa441vJaYRthz1pWEZ8lnPPNF9GdrLvbQutgA6Z8fto0T7uNDedi0eEVCZUQDRVI57NjwDUDY8I9GYB/qh1rRkGzJ4rqVuwFNgTvbjYhRwDVbDsAm/Hd8sBtnhwZx6RMM+S/1ku6hc1XK08GajmOI+QX40IIMII35h0LTh1CO3A7TN4BagOgrUuXwTrAqRu/Cft9OggR4s1xa5rWkT8caErp/f2U7+P5e9u5QBT48Mor/+9hJ3DE9g9tiPiQJrpM23cokbH9wbJbB0BFcvqz8GT8DyNOaUb9cx9gdpXVMqbGNxs08ziwUbfzbPRk8968Wpr+rInI0CGRVaI5AZ0mHhQDmDOr7sgKfVieBNa0vhOPCkSyt/ZS/trTfxTkSyFAWbudK2PMb2OoJErhzv7MiYY1cZwmPEthr90bnxxenvyjVmRM8tl2k2kaQT30SmdbPohy9DabeI6HWk8CdBemVnIvhoxfrsniTIDPoEq1DaXSMwpkqSL4mHVop46fnpEH93o2rrt+FG2+5H742akPPe1k9pfkRC3vzIB9QYZMQT9SsZWFfqScLMjmOYbAOsPCRBbv1sIPMLNELFvUZBZVKpNHr+KKoNa+HG7Gh2DUE5/2rZplCf7hvSg3IAjQOy7BjtQ64qo7n/F1IWFW8v3yRdlVqefhmjnk8UH6UwS9TgurYuFImSIJJrn970qt0OeuD4wAb6ufh+F2k59qQm4jDR3hl5UYDVc2He8f6ULuQuyxdxfa8Lt3IYl8+YW2FY0RzZsH560Q3avOHl8zeVgZ52SqubJCwfrTQijDfydLnpbVAPS6BqpVxWKU05moKDRAbHU0JxNUazeo6RubrIQFJU2kj6EKExowi0KVp5APZNmxRTEHrF3BnQLATXy0FUXf6pJ0P/rClq8tlA6PzwnXpIO34CSFpFN4ADxN6eetbHLCdx+XDjyiYnPTSJNBl38XC96HNW8AbCs1qEcGDZ5G4ZxeiD+wBH/C5NHK4pxMPlz+GoVI3Wv1TUKwKfn6kjP8+fBDNp76N0PATUHp7pKCYN96Cp8fhJDS4egnhskNbqjam4Ue46kNKLYM3AjJZQDFLSAWyKMSbZDuqCC3pn0N1VxaF8X/unJB2qwgMPSgwtUfBJwmax9CKmpC0O17lU85M4hiN62AwiobA3U11wA46YN5ITddfMmWmTW4ygxKuuWbjj/ZewHX3fxt8FW9jbXFWeeNQApGWo00PlAVCtB6HNhJ/lWiBQ/yJefenwAeZjFkaawRn9VI5yHwjXjNOuF8DtJKAQhsZWPS4JO/gNbt3Rytues+9UJsnUScsf2LXIqAfW/HYPX+Cm6/fstASPkPHU9/5C+nf8GSYY7v+aUEe+8A//yF++oN3QVUVCcLXxnzj7/5/ePwbfyrj/sOffA6pZEyGsXb9jg149r6/wsNf+1/Y++Df4r9+9mPga2k47I1QXinfiJx+nMdCC9h6i2evT3nmD1n3wVscQc9iYQ45X/I1FI/4rLm0EiyC5qtA2KnRIsrm66WaSVixf1tJMnH558ZRLF3MqVkN4KZAh/R4tnIIQayHSa7ne/pQ6dsAtSuF/hVPwHVtiCcehn/fQwiSlLdgeYtUyTVRQYLSdhEMpmnFOo/TiVaUjSA6dAPzaz/iAw76M0Kecj8WWYUZJQQjewBC+QfATUOPb4MT7ceMARw1HHTnAT1MBXkZ7zeL5/DH2YP45aHn8H8bj+E7fc/g1IYjOFieQp0W0S1u6rJUqlkXfOL78ON12FRhVgdP1DBOtWeCOPLoAailMriPeBf/sgTmPfiqlv1fNjFx0IY/LrD+3RrWv0tDovQc+L521UpDRNNwmgxJmDLDV4q8eT72RYMZxsVXy3Qc+zpaKyeQRQ4lxYVq6wiPD+Oq2n7saD2DXjEMZMvIjADDjyaROW/j+xem8f3TU5gYMfG0NoVMoIJV6wxs+4SOm342i3ivAqsK/OGRI1BOKnBMgXrJhZY0EV5dQVvdgf90D3xza9HRXMHm+gTWlfMQgQhEOAgl4pJJDepTUU0cQcko4REV+GCpil+fPY99NRsTagxxImaEWpRtxwQQE1/1nlbwc9v8tTJPViZgFWsIhWcBHkp2J/gJjKpIKhuwWOiedo5JogmLnox7HDZKMBBHk9gKnUxHMwHa7NEsDeYyQptS7DYK1xBvHUOHsgfn5+/Yx6KnbmbB8RWNKIO4j8guoIfqMlR2F6CqswK6boJk8ZjQHMTVIagIoVlcDS6LQqXSyR0VA+BnynmeDcQVgE8FSce8dhUxeGw9rLaiGi3CClhQhx3wuGV/VmyfOyYwfUCgIbBloqm+8WaYepxBYAYtaSqOBrVQlvaGFhId0roYbxlD03J88/8SVDf0yvBvUR0fIKnkXxUc8IlgX4sCO+xH3fIh9NxJGCIm4YKlZmnWYzQGyVaiLqz2xzF7nQ+2X4WRI3zgKxEzk4Wbj0A50y2Jy0rmEEyU0HiqbhZNE91QhE8KIVxqcmXsvAy+lIBkT/7yhE/zqDWg7Vg/FF8LKs1RVHNHOJjqI6TJWgjeeFJIoO+rRWCqZZj+CvzCay+GWaxYcM1uN52AipAcWzVksfhhvMCKx3NxlgpLgUFqkuCBaejGGigb74DwugGG5bV5zT8OrpcvScD0Pjo1gc/OPIXP54/JU7QpJYDPxDeg1fFDzwlUzghYRJDqYSEJ/ZIzhg4nhOFSFHWhojMcBm+SBsZC4Cfc67KxoMZsIe1JRRpvmKb4LpZD1S/af5ACPF51kXfSiFCV+vQI+CTpWKUCoboQ0xFKWmDFQAiGTtb5t602CJfssTkBheDO5MvoUCGf0fm+kY5XoKl2XkJfqPik+bauJuyheXYeEWSVFrSLKvQaIWIKFSRAqKZpQlAhQrSJRl7yzaSFNFVHGqj7LTSrAc/xI6InE15BQt7Q8hyvs97a6qK1BSgRWjBGvUlyvJZ51bmygOush0IQ7S3jW0QbcGKfiW5EUCwaKOy5SGm1YRJeVmGrMTikuG94noUoDt+9zjRGA3zNTh1Omw3TUXHs6c2I1p7Gtg1ZfPTm+3F9++MYO7AT+3e/D6eeeRfCU9/BnuJJGfVtAQ/PSsclmjzdfvQq8hXg9LWUoHGsYMWMjlm7Qv6AYUgDtbpAOGRLR7GiSvOVaCqnoxBud3wQdS/t5eLzGvDPkxkMf/cojn13SK4JDNfYXOJP8mm5wNCFMlRhY13XMOq+ARRpnejUz+JNK3chohjQ60DUyOKmtfdydFQCtG5lN6Pe1IU1q8ewom0KZTOEE/tIcF/15poEfBHtBG1KK8JBd8ckzXNadwwaRJfAV0PbUUjcjVLsLqmq4RvAig84nDZpghJ85zLNd3NbAmd72vAHOzfi62+7BtmfvhN8jULogzfjrbdtRHdrlGICV6di0nxyOiPNjoBPmku0WkVuxrKfvdUT8i9exwJDGgfBJvzJJ9of/Mcymo4H0VQGUkoRreExJJNn4PeXEXUB21VR1n1QCDeGfTkaIxRdcdHSNgkjOECOi6+YHYdSSAO+APiEO6IJ2Ou2SwC+vlGZnZB2p6ldmq+15kSSXpIs2CdbZtah8qg0VlwkukpwhV+qanAHWNjCtDGB4c3v/DoZLoYqOzFprCE7Fq6+AT2FSRf8SzTNwp6sgzczJ6MbKATIkvBUWkgzutvRtmaY1v2l7UJBS946zXdNM6FSqkU3AEvY0F6j/9ZqbABEQq7MU5/wdgTKSQdj59sgqD9lwCLNinTDJXjh1BErKDKkbGWl+cPU+D8vGB/yJmSZ+D4uC5+opv0JPBldxU50ZS5Az48ifP4hJA59EeELD0MvjCJ68h4peFdqS+e3VppBvebAJaQUDnt1japZNPnTsEwV2riC/soM0aHAoReuIUEqsCM+hetv0RDrDqDgGNj1hADjfVmAea1BhzHtNe8lDeZ9Dx0h+BC1sTENFvCqTG9N0DwhCIs2LMl42a9OtGKn+ha0KNfilT6C+OT4ZBiiZsIh2qJUVRFVVKwQ/WhzckRvV3HpQQE+8DGn+WVWKuGwZw8UMFeuS7dSkwb4f6M260LG/UppLarUCAV3ECbR3m1tHszktPAspHPbnTzluVetIA96mabaeb2L9WsBnl/89Ra3HQW95DtRC8Mk3Bi8phvVDSvA9LI+lUb0e3uQ/JdH5Kl3wZlSSmGiNZItBh6vvA9j7hq4ehh2JYW4ZSFanERl7FkaN98EC4oJHJFTU1AcYmIVCyGqvw0Xs8Q/RCoGdJ+QeWVnahCOiaZoFZymVBMAABAASURBVCXOgCIGRTPp3str1rjt2bcLgfKkZ09d5UoL7Zkjd6+CX9unYkfGaxcZQJr26DfROBREzpd895c9HNsbbllCfzjRsIyrzHn4QDpeRPvMgTP42GAW/3Pte5HcegsYp/MhH4VwPNvtdduWxJ44CGoZB+29F1BpfwvqH/k1mJ/8HBBNSD5Jz1Nb6S6cuFfnJZFfR4cZ8whgnXid5bLhNVsdeD92vncOgTXHUNOs5cB+7PcatEBLKo7kMqfjOWkWsHe2pRAMeLiG/d4o5a0Cb1RuP85HtkBD4C7KQ9L9o6AZiIMfw/UIbba/HOVDHAoM1JEFidLQeKwmFhoA+qS32Df8X2szRYz9vhUG8tEamqtzePrB2pIs+C4wFvzwCXHFJQTnNqOsWni8bxusSAv8CYsYoydgKX40lc4hNTUMkZmAsCuwKoAwkqQBAS2DmHMGw/4UHD2IAUPFNMGMmkXEVwNhki90kuChasXw9e53wQrSIijy1ABfhVodRJFI3qcSBfSlA9DCkAInvMTzvfIw7smcw+wYUBsJoE6MSh45PDk9iplpE+KCD8f/tyr/6JOvEeE/zDy/ywLfs84nvklmAqXrJET4IM5n6jj8TxVo//I8tHQeLIws3L50IVtcHK77oX8zUc26YGE2n2rvWTGB+MEvylPqQqlDNBVoUSMiQkuiGL9bMnyL02jYmclnobvtj0OEihBuEbdXqxj0TyNPWxqKRm1SnYSiUbuv1qC/dz1mbrgaz7W8Ga1RP4Qq8G/NZ2Ry7WYYx6JplFJVNK2YwYrMP6Jt9F9xy/UP4th7zsJsrSBY15AkYu/5CzWcbp7EycgFjOpzSKf2o9r6FBIt+5Ag6a5diyGdW4Pp7ABy1QjK0FDRSyTgncKUruArOhF0QoNPOOjQFCQD6xC1BbRYGtWmJlke1urz18q8adhESOjgU4e/mnkKxxPAsF/H3ytp3OsfRLpQg0K730llA+Jinolyj2HYfgBz7kHUkEXFmUHOOQ0FBprVa8CPX8TZQD1QhCBbS6UKJqzIuvBavh6YkQH44hWsWfEoMkczsu8aACxg6DLzlC4gghqcsAqd6paq+qBZuYX03JwL/qSxYNjo1WjAAUiK9Ygo89QqufnlOqgIwUaJGIML7HWZWusTSKrAkNWL8agJx+egVa8he1pg/EmB0/+m4CypqecEZl8Q0p4m4TsnVB+4FWokBFcRqIVK7IXEvknEv/EEtHkhAHsmqC0jYhXigqhneI/v7Ki0VDf2SZNPEz9edaSdifx/Ljre/EsEYBFTaM1UoVB7s0pk5oXZ8UE4q19AvWrJeNUwlUEACRp/RtMFqKKOyvFbMCJ+CvpYEChkUasOS1iHsCG3S2q8j9JVUCcGlANU/kSSLE7XCtKXvo7fBd/n7mqAL28gVdwGVW2CGY5Ayynwj6sLEfyimdI14LcSNB4ELLUG0A5JZDCK2Au6HGMLwPMWP6ExtippT3hTdAfZuaCU+U9jbUJk9SJVlEIimRoChTYEo7cjXLoayWdplXjegI8EZRSMemEvG0Crif+54Un8fe0omGFNKQF8OroBf9Z8I66KNcsNB5Oar/yEhhrx1kyn14vUZOZZBCoabpnbitubuvA7TduRtAM0Prxk46tdz0L6c8S4Nvqwi/ABeb1hb6PtOEODJeRs+QEUj0cW6LmuhZgi0KwGMFquoipsrHWnMZVvB2hudvUYWHhIuNVTOy37OZqnsaC6OEubT92a11dj9sW2WojzMiwKM3gEl7UoTTJn9QC4nYNCoDfYQz6Aak9J0z95ACczVDZFQ2dfUPqx1mBWNctmJyp+E0GCkY4fEa2lxYWmAW0kBH8ji7R1s9cvmeNR8NrA82PxKcpXUpbGn6WyEP/rylHwgYA7g71Y50u8aDKaPS3DLf9qabLGY+6jEc/N96YyfcT+rDbcocGktrpwfi1yhyYRn/lbZIjJfebBn8bk1BqYrg/5Ygr7H74eP2kewDo9ecUyKHYOk/uBUiVM9JaDng0qYiu9NmkbbMGJeoazRCjs+fFY0vwB6ZcreuuPdLxMTQ8ToKLCdCIQ1So5Ln/57uBnTxyGcu80ClMJODN+7DlGCIpAAwLonMcvXynaGB0zoNC87EzNgoWnz4qbQUgXb+/YjRuunUAsGMcdG++FT8/A1HtQ7LkNmfffglLrXeDnjquega4AU5NJzJ47zF4vqsbHHeRmiwgYZfS25WnN30So3f+icRYHMl3AuIDnb9c8blgczvZfWtuNjWT5QGeK9OXfgUhwScByf5iqHtwtYWwSdBdMA4WSA17HKr3emqnWAJItYc+hMoYfcZFMG0j689i2Yw+6r3sB8Wufg7o2Dd1vI2UqcKlhx4JN0MqUrGaT24GulmEEy/DrLeR58VVGPZrDnj/ZziFW4/9fzh9HY3PbbengoNde+bw+UeYF7nMjNpUeaO0Yghu9fH3nzRBLa0UwksPGq7x2O5b/SVSj7SSop7Fz4RxYaJ+RJ9yBRGAQfNtXXkmiYsRl+ecWsVKl2NuRbv1VsGBfBl5BU7QYfMEqlc1FtepHJWZB1E2ABKFXiPKyvU2TJgtBh8OeqWVoUSd3noTLs2PNNG90cgGFoitN1qwQ8UUau+sIFTXotAYWTQ8HcPgPU/VoEZn9kOnVY4CKb4g6hvQocr5W+AtjUrjumz0u4cxIF6pt2+Cqfil4ZyF8gISovDHNAGp5BrOVuAwPRVwoLJCndTUcpo50bbQMCzQZIzg1uAGVchgxWNjYnOOouOltOkJRlfgTgf1P1tF4FOIf2G77WL+oDh4W+NY3gGNPlXFmuAuumIawqvBN2NAyBQlYf4Un3DmSDwloIsDWV6TsRAQ9J1LY/CwJmgtxCMdFLFdA/Ou7ETpTRpuZJnmBjcZBAR6TplLFmB6CECrEiIPDJ6o4MVWX+Srz9WbHR2l8JRSBvBPCA+XN7AU+5c7y50QCYCH61JQ3Jo/Pn27nNbOtzZWwDW3Hdgf89Ra7+XoZNl9KNYT5TRsi8sqZzPtuRnlrP1xDl/MqKE+9PwH/MU+2s2qlI5OsuGGYwWZk1W5Mx7rw+a4tOKm4EHYVqmaBcWhkyoKazkr48JxAncZI0dEQqfnQFPTaYXq8JsNTfSlUMSPthqBKSxtwuO6g7Lro1wQUSgP0BNsgr75d+RMO/EnArpMnvUaYtPlXGT0P9fheqE9+d97nJQzCe3vVKoSiYnuocwmw2RySbmN4SpovqtUq0PJpvDNjQUt1wr72dtQ+8VuwGJfTZqp57VsAMhenMXmacBh5tG8o0Tj3A0Kg8TROt9vtLly94bvEfN0c9SZHpu2bUqW5nOYKwhUtV+GGn1yFnjsuLAfyY7//xC2g/Ceu249s1UyjR5bNtbzFVTp+yFpE9NLCGkZYufJJpSsV0UAc/NTdi/Xh079WMioXIX1+h51hXmvVrBLCpUSP9AuohOc6JwfBxAfmn2Y1gPeGV0qX/ANVtQ0qBIa0Ufxb33uBUAyGv4rIGh8C/e0UAji5caQO/m80HfgeRKZMfgIx6wT4OpkDUVpcdT8xZS5+P70Xv51+FsxAt1zlYOeYQkIogd16Mx4a+DDKndcBahF25Du4ryWLA2GgpyAQaHJleV5M4zvevlI4idwssHb/JrztyRvx6V034ZdOX42fqK3GXU09+GBlnUyC/+jzzMMWDnzJlH8+yp7tW1W86Y6jSCXuRwsJYG9Y/+/YYe+DeS6HXNGP/F3XSCKBYZdTh75uSoFtvFfB1R+sIJV+WBKbaj0PEcjBbS3DCYTATASf4Kn7B5YkUywB+w4oOHPWQzH14CbUQlthR1NwOxxsa9PR1Pw09PgLcAdKMK8vwFmTgxY9Cj10Cq23+nDzxwNo71fhrKxjbHMGPQMG/ua6tXhrSx38Ser5dAXPgcacVsE3qyN4IbAHH0Abuq0IpnMurltt4QOBJ7Eh/DDs3r/DVOoYxvQKBlUN+wPN+LzvevyvYA/+NNSH3wpvxx9FbscDLddiruNqlLrejV9qfgv+tvkG/F6Tht+Ih7Azsp3yFVASRRQWfdZenydk9ak53GQ3iB/qONXBhG7gu8Yk/j5yAo8FRhEcVsEPC6zbxa3wo4UIzzpYyD5mP4wpdzcHI6FsgA/evFJFCPzU4wUi0FQkK34iNj3CjP1ZeZsabwKfogi3Z7Cyae+SU+5nTQcdJHRWXAFEDY4CO6lA0FDsrVSwQPgWLdjkORZQ0KJ6eRhKo04y2oKWFOulPe0ehwnqcOlaqq3RKT/yOkpVoawQiFaR2W8jy6edia/RwkB8wEUoaUpCcJKE7yyIrx0vAAEqJ0Wy/B6R6Z+kCJSW/9QI6d6rIYRmZTvNab/0EMRM6pNpaa/1d8iNhK+UKBHyudYnqF0FWNj5QMWBLyUAocAsqxJPGYgjkmlB8/QAtUuBxvhhlAYeBm+CWFQ/W3OhE2PUHLAA6jWr2g1oGipFEsKQT2noEdIBvmYnlE9Ct/ywQi7MuAMmaEHEJXwBuKkOCXepxsKKzNV15DdZ0JMdcBQTcy2DEKYF/4QC/6i6EKVPfSe6q7dKN9/frpYEMbBJaEWBKH/OX6W6yVBP0yOutPjLK6RZcaal2dC0uby02skILK+ZESNh2EznOKrd5BcR4M0AlbtC01Fn4W/WI6gPto8hY1QQLQbwU8pG/FHgRtwU6JTpZU8TE3jQJUG7QC4roAgB1QeMHZqFUrYQLrXihtAGfLRpDfiUbnVWwK4DwTbAoLEBeljY/i/zfcifFG82ltaNQF731xfzsjCSXjt6rlenP8BSMYpqiCJUmms9NAmOkLBCUVxECzamqU0UfwitrYvqWauiTUzAsQWKhSRS9TKO5gsIODb4YSE+m69UKdY0+HR9hhjCgK7jCVuTSfD/MkT9PdKuV85A2DUo44dxcm4FXEXD6vURGcbawj2otsJOVEI18KaLdPyIaDTs8MH3O+CTbW9kkVpJwB8i9F0qAep0VGY9bBWk+Uq14fk/Sz284gR4U5fb+O7wypdMRqf+YyBTJ3zFlnnFc5QPJLDzjzMHJR3D9s4+DS07ABcKjuy9AU9+44N4/rnbUHd0OG02+t5JOE0HJqd64dtzPX4R4xxtWeWb+T5OHtkm0+p8k5Awbat1cgO+yTbkTQ8PsbCEA0vUTpGwC4Y0yibmpwoHvSylGFRuGp8WlRWFzGVxni3X8NyB55Hf7SOZYwjRECEjghrcl8ecQxZ6fy6igAU6x8dsjJhRBH0mOprzKGgtuCcTwlP1TQiTFH1H5yP49J3fw4rQENIk/BmMekJ2SgJ1/wBqgU2IBvK4ftNpWk+AR3c3Y3RkiIMXqaXWc6cL1DYONvQegV8I1Ix+HKIN6hcGIcvHV91cVO7SyOQatTw//vIlwI1Ifpe+SZ+On9mxBinaXL00rOHuCPrA10s13P3hYMPqmbSWafN/aLfXXIeH/q2M7365gH/8hzS+tHsOL+RKyOYczM3ZKJ7+q8LSAAAQAElEQVRUkKT1qad5BOvumEbglm3YNXMHHh/8EOpN10Px+RF1FWiWBpfqXHV1hAJFsgNtTaPg+9tVak8sepRzx6TLWblBmlKL0uZJJ80HKpu8WoY83cjytAsF/WAvlVkmUK9KY/qUS2PWRXPbKOonJmnN5oVSBi1oxcRPwFZi2LjiXkQCc6hUAnhy5pP4duF3sesrvdj31w4q1GaKcIlEm5Dxho310mRtypsqbJ1XSzt4kAS4LDicXHRFRhOh5BLRHAzpEn4u+Vwv7kzOM1+NbtOaQ0K9EvUpRw8RjcOmQhvAbI7kUjBNldrDW0sagnkOc2nxl4eRghZ8pg2Nmsl2LXnYhMNfSlXdWbhEe70U3KsJ79O9NW3x5mNcqcIhGnEkPCCTtI2o5OsyW35G3klf6rkZma0/LQXvDMBXZiYO/gP0/CipEdRtneg4A4zf9PwIoKgodnjt0pQtIaBnMXRhDYSj4LbIeTD9BXoY/q23mPAJG4OHKti3X0GxRAGXvNzX3/yOgsMvuNDnclBKFcwesqEeq0LJ2PCNlSHqJmyavywUviT66+Y025NUJ0DPukhPVol+cJByKzK/QEFHu5mF49bAm4PsqRQrcDQHWSVI40aFVXbYG4WqJU21JqTJGuO1z0YVMI6+YPXiqVoPCu4gTKLR21sZAhiZv1amcbp9yybXC7hEX7/ORWN9PnHyYh6XgEkntz8L8w1aY7h/2JPbtHLVABp3vfNX49ze/mODHIz+VQDDs8Oi+TdTacINRM8X/Amc8EeQIbpKp7HSEDB3HKigfT+1hWpzFFSqHs2gpoKgbkQ5V4VPNRGlzdKam5UwhhuXJmvP1VgH+DqZ4ohXn1lau1yaNf4k0Pt2B00bPZiQR6J7jvm1UmEzf/m66QFd1CuTgzgR88MxAtjuo020i0HE41MDkVtNF0l/8VeZ8fAcXwmzAEn4ymbB+6f+O5wtb8LiZ3LchFZQ4fNVEOq8HLcHxlXwYze7bLyhyox5eeo5AWG9eNbMr6/dMd8RLw7649D/RC2g/Ceqy3+YqthEuHNhRW0Sgo8xsOOHrGLKGvQod9Fi98qHhE+Jy9LX4C0AmH+s9iZpM0YuoxSl/2uhBYWOEKnnesgMOeioTOPwEbGEOGHGkj8Z5NNlz1cVdCgBBJQSXhBp7E18GEWTGFGhoCs1CiuZwIzRTILVKtoGn0f76ScgykXoRgW+mIWhUAtczQ8dOWKAquCDhXxCLL4aaKJ1Zvu4Aj7NyQKi/zdyLfat+SjykSY83GTDVELgq2eMiMDhs7P4rW8cwjcGB2lH2sTihwm+fy6cRoFktt3HVmHlTAduvgv4+H/x4T0/lcSn37wCv7J2He5+Zwtu/k0f+KqXti0qqFjwxwV2/oqBTbdnkMo/ASVAYyw0gZ7CNLpD56gMJFRJX4Wz+3Rc6eHT8tkhBwFfAddufgx8ckOe6vCVIZozcJoDcPUg+DPZfOqT4MVjcVq84fEtIgKPnwCe3QM0BDLylLsSA/HxiIssBqhs4dh+avODADHySBYhtDo4L84zcvwwtNIUHtQPQCfz7rlhdB7+Mm7KPIUOdQwDkUNAdBaDqSKCoXFcXQnhzrwfbeEp9N38FK5q+TYxcbPYHJ3BtmATOkKrMJ39ZZxyNiITi6KrM4merghuWtGBX+ndgl/svhq3pN6MQPx2pILrwWPGUOrgR0MQyjjgQoUbraA8kWFvqZjoMlu9sf4zxRT+ruVW/GHWj5UVG0mxCu+q9AECeNQ3Bj7ljvknoDSjQ70F3erbEVNWQ4EBB3X40YKYGJiHAnyIgx8WrOow0FRIYM6eYa8lqhraDjPUC40EFqtWPQOcPwa+FoiBcpaJVXYVhHBQ9xVJYE+76yR4V4hG6K3UcMZywE+9WIArgGndhwHdy0NHEMs9fOo9JDpho4S8e2Y5EGz1KdL/YLiZiDMiIoMaWv0ZSfT1b5vFto6DWD+5C1dVnsL6puOI2GlYRaB6ygR0Fa5hwdYoHqWi1Q3SAW1R20uPRZo2/wdRZmuS4up4kCQ2fKq9UxX4aEjBx0JUOYJn/1kikFxDQ9kMguP57CjNew2p4haseF6Ff9al8ZjBSHUXCs4gHB/lXTSQMBNwrRiEHaf+ApTKDgg1iIqRh3vkUZgoIznaDUXoaJx6EPPXydjrtlPuV36POmmko1XoqXY4YQ2Z0CESOh2RESInNRhzirSDxqFiCWl3nSpUsgdmbbjZEai0mRAloftios+XlKBw55qhwEAdWSpnCY1HIYaH7a7PQHFCAI6DyspzGO0/h1PXvoDcNhPp6+vIXG0it91FtbQLCn/ST5EOKp7g/drhXnTc2yW/VDj+RQWsxp9SUCq4GC86cGnDItziQjFcmJHj1H5A2OxAuceiVLw3fdwzg+2utFwqbOdPimXAG6y1XueieYcLzfeDZcyCcd7wCQpBQumCTKxXj+IcCytUF135CkBhq/oDWPwo81cktGEaKoW3livI0M7EU4OjcGs1NISFi+O8HLtCTG/FdpB1gigSo8Ono/iTbf5fBtPXLZPQ7Gnw6fYjkx3kVtDZFyEmsjEOAbNO3vQqjtdndd1Cs+onnx+tV6Fh/cMo0ZZNjsw2PJOQZuNUt3S8TG2ShGgscDuRGsLByBCY5vn1xFYw/fNiSTB9qZvDEqTRn9Ixr703vAq8zjFt9CfZg/O+wOo3aUALjYt8EybSHajpQPwOCzf/FK0LV+mI3lGHRQ06d3wnNKIl/MWnF+I2LFptGBMHYyhWwrAjNga2GTIo2S1g6y4q+RTcKRrv0hc0pjyL7qO8IQgFaShW857ny9RVH41B2jiqOxGISwQHj2RzyD3+HLLPd8KyI1i1Jon3fCSFeFSFUbYXTrmzkPJTEQFljsa2qqC3ewSW2oI9tBlWqZQxWegGotdCEN714xQCtonv0howZoex+GF6h93X9e9FIu6gbIZw6OkM7CvUqU5L3rFjZSjCxoqWOdhqDKfsHvyvkoPfJ/XbUzb+vLBYOWD8yHk01BFKg+2NL1/Y/mrVpoRXnyC1AQvpOR2Ss+Kb31Zx6Ksv4EytDd90PoWpF/oRHzPQPutD92gIzUdDGDzmokzrp15UYLhl9DYPYe3dRQSu2oCJmThYcNXaAqT4BCjhs4CmIFRROQuMiwRCgZxsh7bUKAKMS7SYDJMaCdT5ygG2O50r2FhQ9vyfp4Jg2NOldZTN11q5JNyXaVI+NdNFhQR8Lly0hA5i6r7DKH33uzJ4scZ0Mo8JpVrCTdv+hoJc1MsholFVKERJGH4XSRKObbjmKQjagHUcgYzOOBcIhQic3sbJXbJe9u4/IMA4gq/IYAFtAyAY1kFFg1k1UIuacCzCR/lyI/jKJnV2+PGD8J0fvwhD9TW+/Ecw7vlr1Oo01yhEp7lMBtR0AaavjpHJFlrb67CKcyhlMuBxzeEN5RhRODEHhlJDKC1g0ph1XdIaAFcwc+4ZjDuPYdbZdwWIRd6OTXX2yrfI90WtKTUgwxvXXLHjbJ3oZLIc6bgNmas+g+zWn0Gl83qiBaPk6728iVAiwXt+7fuIrumiulcROv8QnOw0aiRw10IBGNQFWoUYOoryfHc3XBIuB+sFHJzZAsvyoQdFdOo5WE0Xx7mxJoW3doxSejZOHqjhW8RTffXbAg9QkQ7Rgr/7WQHu6xJt0jRRXrf7z8CljKaVGFxhAybhklINQoRhzh8KouxRrbnYt1+ABcyX9g2Hv1aqtqIdEAZmiDZ1FQuhazqR+9jtiDhJxJ0y4XfiO2jugB5tLo/xiAIqLFJCg1Wi8gPI2Ta1D6BccoBkAUfTzNldWY3nax2oOtPo7vL6fGgEOHsOaOCZtjbPn5Jc8lJzobE+HyeBOwvVlwAscmRorLKz8eesbF+seJMhf9e14K/H1VJ54V53LpOuCxSI3JutNcko7zOacT4Qw5RTgZ6nwhI+4f/BCM5YiE5YqBkeLqzXvfHAJ9wztHkpiIcLB2yaxy2oIwt+fNTfbBKrg8Z1Mny4KDcIjFplfDl0FF/MEzNOQCotwa3XOlj3CQfNWwkPkB+/olZlQypljBpO2q6sDdNYLmkCvdFWovW8edOAtuM+CNpY0spUh0vW4AZMwxSzE9LqNtNYkbYX1+ZOCLhw0NE5BCtGQpdF4HpWgbAAPhhkJ5bv70Xgr7mVD0xdFLorr3n6b0iCP87kdW2BH4+K17V5r5y4aXTLQK0+I83/yFoAzbL4VXdamg2t3t0irdrEnDRfLy1FBPn5lI5s0kWzVkZzNY3dzywd2r8W34qQIAFceQgHqgGkKLjfOIGvkNBxX+19GM1dDx8Je+NKFtVwHBNbfwNTbTdDCfohaNFXfQ7GaVEs+yKI634cr09jdk5gZlbgscIEZuwK+JT7rUMKbjukgnffWbDyx3YS/6XzfahHe9GR98FPdIQv4eCr9gUcbp/E34+dws+dfAp8j2rZNWU6/yO9D3N5E6kjvVh3vh/9W4BtJOzBMo8WANpJ2L7h3Rpu/i2fFLYHAwVETt8LxZ9GkZanWkmB0j8IvaWI4NW0uOumPAm//0smrMrSRFlAy6flNSKG37T5AcRMkoARsSQSWbjNAk4gBD6lU4zfTe10w5LII7SjLk9b0IYHBzBDxebjTyhgQsZRY8i1fAbZ5s+gQBsdk5HbsQdrkK2shagH4YZJ4MyC91gRAgqMTBRFu4Z9gWFEzCreXcwAVBZQeEvvg2iNnESHq2CKoPuoTr8aOIVg7AXAOIFUfT+EIAK3KUcEUAJ1/2pYqY9CLzTDF6whRMLcnYEVYIHDdl8LmlVqSFz+1B3Kk7x9Ig7fyUmgGoGruvCbSwXMtYEOggJ8Z8YRFDqC+SzCtosVbjd+trgOG6wkpnxl7BJj8E0pWPzoCKFJbEWPeheNy21oU3di8fPt0nmMWX6qQwUKScMDNT9KRFwuhmnY81RHxxdFsC2N/tZnwNcCcVjdzkEn4l8XGmZwCqOFPbD8VagQWGtZGK+YsFlwZlVpxAChoAm/sCg8xD3BSSyrkspW6c8n9GvwCEAsetYYQrqGSEA9SbSjq7noCQ9jYPxRtJ48RYJug/pnFcwYMe3lWWzVn8VGaw8SagaucFEPVKmEQpZDLZbBz2Jilt2LVWNzj4lfFm7y9Rgc/tH5z54HiPDlU9Ls9/VWG5mgirrtg5opIFr2cLIVIqLtzp9F6LEuqHt6gLxNJF4dtutALfrgc/zw56/FMBGzx2pzyBPzo4ev5SRRGXwC5tw5hPMJCKL8qp229Jcn3MnmdK4k/fJ3f20an515Cn+Q2Yd/KZ6WAKHgaggiXDP+/bA1E0pdIHxag1ry2pSZEFamWoJLzLF9/psoD38RGD8KLV+RJ92pC2VagSZpoJYGQsIbq/wZrucL6PNfIVkkZOEND83KIdM1BKgqKsoM0s4xCcpEpRV14UTi0l3OTeOMkkGUNlJu9HVAC0MqGUgauztudOButkFVQXuTio6NFoymV4LTNAAAEABJREFUWZrzBvTOHlAzESTk+CuzsJ9cTRtdsDCJNy7JCe6zH5awnfMPEyPXvMVl6w+kGqfbb/YDZacq0wq7BsZJaN4u5jA51g8IHZ3dfix5ah6i7lLH4SoCnTNAsyijUq3RRuA4xuayYIZrSZyXcAja7GehYc7WUKUyuIYPvG7xJ9sc1RV+WForGEabeAaHp1fCVTWsWR/m4AU1lxEI6nnUK2FwC5UDJkKKvhD+f7qFT7mxwCyVTZJwSRDtQJPwFTYKoUpMhjI41n9SxuTrYFhQLh3zmlofg7+8D0blCPTaCBTG+ZUzMtTUaZ5Rf0rHJRrTRiklAN7o/9T04/h9oj/+3T0L3EZjyrBQ7avjxl9WcfV1AfgIf3L0C2vGsX/7BcKLGg48fzNKx0cQKjwGPwne2QzlHqANy0fk6XZAAZ9ub8RlM9ajcDJoJZKR82UHtxGbs7kYokEe7y6svMVeV1QOhdxHA59xPVlhkKAcQkHdiRB+qbKXnBf/ODUF7HoBYxdWwUeIaOubWnHLrSaaM5/HjWuelHD5A3kQKpd2vrZqw8gkAqgj0DKOSd9qHMmVZNimzm6UU+8A00HsMVzpxbDdgrMVLz/2Y+WoMZTD3lr+/p0PIJoI0uZFCs8/6uFShmmoIiX98HfzKBWr6EyOoLM5iwfFRvzerIOy4cKwBeozCviqAFadqpBRGT8ynpQO0kYsnoHAptdg+u1silKKwPrYxfk+NSVQKNqYmY7ieO5jCOQ64Sf6uLNpFJvWHcbqtrPojo8goc5iIjeFydIk1l99CCt/tgNOm0crsGCLE+7p9sqqBL26hEGFJq9qsA2buvbj7Ru/ha7uC9B9Fw8fcDzl/HE24HTQWupbSrc5K9fT2pSQ4aw5L1OQw7CvRLkRLw9BAiX+Ez+SHyLsyyFQPwfXUlDZdwBn9mcvS7JudaE+qSMem8S7PvplXPsJgTtW/QvuSvw33PqTZ3DTh/dg7aZ9cAsWqFkxGd2ABGXV1koNQ6k1Dq+QdclbN4FS6aLXcUIT331AAY+rppANRsz1qg/lpA27UgdehsDdd3YMvsEJBPZ5OIRT57YXxSzE1AjCz9/HXogQbeXPvQBf5gxK+iRmp+OoVHywaCOqUPYjl6X8JaSnmVESOAcdCKuGWN7DA0Uz6wU2dGpXdfeDQMWrlEPzMDNPg/Bp5oJzoQF5uUlxjX/6n9Dv/cfLw17Ep4FPB82ChDpRy8B2szCEiiFbwYy6dKxJoEWaGe1Cft37YBtRaJU5lLMVuIoO3fDqqFRzKAsDU0Giv6I1BB0T5wl3uISPru47KlNyQkvzSFzdjNvC59FfI9xer6JeE7hQcPHMsMC58zRvLAc7y8fw8eh+rNhkwEzFMJlox+xdW+DQph18Dqyulais65Xps3bhgoLjJFzeS0L3b5EQn++Jn6QNXQ57LVXp+vWobl+PvK7AJRzm746RqSOwfjNakYdLPF0D3yrFCkYCQUAIdBF8dtpG23gYakVFre5AWLjsYRx9d1Ah3sCPvfVOpN3jaKV5wusIz4UTp7x2X8WbepfFvujB6/Oqla6cP4cOi4sBl9im5u+Gb1yhdEnwgtNqpwlLLt/ZUdKB/pWAotBaRtOgYgcwW07gFhFGPtKOumvDLE+CHz7V7TR3AoEAHF1FCRpQ9sZDKKogP55hMDT3RlFzctJuIA4FBvhZfJ2MStNmMFvGtFrEXCqPI8SnMExDERvYsEpTFLy02aHO41e2X0ntL3mC8h3h7stAHN2FYwQglAiUlxDei9lxGd9N0ZyQthfXRg9bEASSGrDB9ClZF14j7fV3pYMaesH3jbU0DlgZc15Z3tjcf5zbj3oL/HhU/JB6yDFaZc6qOSTN/8iaKkhCRRUwXcLyZDZeFnq5hg4tnQcvqA3/19psCEtHmn1E/Lnor47Kkx68w93Ii2GYSWX398s2hKugWSkR/AX82zobJ+3rUFxxByK0exxyivA7j8Hs8uPsdb+JaiABJarhRLSPhHMBtKVdPJofk7vn0WJE7lx/q3QOfMqdBUwbSKD689MqWEgUFAJpxwWvEivmiRonYeFQNg3F0tCZTWAubeKfR87h54jZ/a9zzyFXNRE50olNp9eitUfgLXdQfLy8R9g1RM7cC40EspZagCiqcCoCFUOFe90Iou1zeMv19yAWmgWfYt/zd3Xw3e+culXBgoB2y8BuNDVPQQnPwe0w4USCsLUkyiQkz7V8BvVFn/gyUb/7WYHHnxSSaGGC547bXLz1LY5kFpj42btPcBZSMSNq+roRDl+N+/VeTGZvhzX3S7BLN5HULQw36gNai0DXwyh13YdbowfxB4FxhFqJgO2khTZm0IKuQKttpfw+jD/y34hY+CYknCCcJiJcu3eBNxtEU4U2CGKoha5GMXE3XBI4VEsVuHodPl9ogVDBizyOsGTo04NpjJ8bg1OLwlFd6DTGZMC8Zs5/zaFPzcGZKcPvjoK6HhDd4Of9bj8R4g74lHth1GSvy5RChFNU9FO59IUw3oj5RvEs7ivVUY5loBDxH61EULSyCzCLLdy2lfibqP4aWlaeRoeyB/zFwnR1GpFSGGZax0R+BiVinEfmJqAJHYGaHzlKr0qbRwptRkAAwYA3l/0ivjh5mdaj/3cVQ7s94YKOEGLKavDDV+IM2t/BuL0Lc+5BpM3z8AlbCgk4/GwywQbsQBvqkdWop/rJTIHvDbeI0ai3rkW2Nwm9dQxNTSUIWp2siCvjGCVLmg2tQcw23A1THyLBCjkKrU34yqJrSJg4J2/5suCWhRaFsIvHBhSUzBBUIviDpaQMr4YKIOkI/DdthHKqHZGvhRAqBKCNKEjnSzSOBMITq1EDjUUBVFwL7vgA3FgTMisNhE6VodQBx1eHSzQzn7a70om8GbuCz+eP4o+zB8GnTBUSuJwsz8pyhNRuOP4Q0m0zcGuzRIS7EMRwRY7p8sSPVhQQVRt1owI1N0MFmYLr5FFKfwvuxAkYo7OIHlTBQ1ifb0ezIBBXNsj0y+4MTCLrRd2EPpUG4+pSU5sMQ99pys+EYoSlO+seQ9kdk3apRePSeGjikDTXtESw9q0qVn/AkWr9zzhgxW7Gi8UZgFAumoICgcRZGaeabYbr16S94gKHKfmTQReHV7n4qumAhUkcyHiU+4zt/5EVCwV5EzYoBDYaNfAd3CzoPJenuaQ6COVUmLaP5m4Il57IYsEO1711BY1Rmhh2Lojfqz+Fm1oSEI4NMTeDL54eQfoV3M0rnBonibSpgvZrgIAfbw+QIaS31Gy9BcIs4/BsOzF5PrS0B9DSpssw1mjogPG7Y+lwocAWDo0bG6mXEE5w3P+TFAvM2stJFGlZYwEzb66/3PpzG59JV/FY9wu0EQrwNTD81d6l8aPZb9BG76MIk7A7kvlX8N3r4fwDEswMDEhzOY1pIz4tz2ORxyRfV/NgeQj/GD2Eb330GRx6xwmM6vmFqFz2JyvjOL5tCO5KC6ajY8+ut6JyagzW+dOoXRhEbWgSgwdWoEibMPai0+2NRJJ9AkIItFxoQ+NEKZGKMthV/AgHixTu4lBBk35X0r5XcbAnl8WfFxx8q+yiHnQI52pwXAMinwYLdP5xegrdz57A8Gg/fP4wdtzShh1rziM2909QSXCxrmcQyVCe+sbG3OmSzKqemYJLTHOLmkYsksGfVXtxLpdD0DJxbcSQMPnmn0Eh/i7o7ibpHi1780k65rVq+AawYD4ayOHWq85QnTQcG+zG4OFj8xBAiYSr3/vOHCYn8gj5Crh2y7OYcAQewAbUKck1kwrefUrFm4+oePuMAr5O4f+KKWC8yIn8C61zLHRnHDpusw/QpQnP8gPoLSE//mtfGz7Q3byQSnbORetwFaJCbUll9PkriPQPY2ptC6wbrkXfz3Rh46ccbPnoNDpvH0XylhGEb94CR43JNJhWnJoGDGrCVYTn2dOJeYVuK3l4ZXbVZpRtP/RUjoR1YYJtYbAF1bif3VnlrWMLAfMW+9rbpM2JJIFLBPIy4LXQ5tNlQdU0Cbe5tVsSZ1CevjheR569AD6Esjg7lYRZtbEg4dIo4fo5pPR7EN5WJpqnAl/6OWj1YcK3dTi0Fkxoq2CpxINoF/BE9ZxMJp2RxmXa8LDn1UpNxbR3KARkCPY+ErqfmWlCxF+AKmwUiEZ2yxVgNu9FeBFdn0zLULVUhko8HDvU4/vZkKp3dje6MvsRIjoqPPoYKjUFL0xsgEl8TbBiIJ6NE53sI+E7t46MIjU72Ez9Agi3jjjRo6CnaBOBQKZ8SWCuf+sL0A48AW23h7/mnINwSOiugAYOAaXd4zCJdiHr0pc2pjmuKOWgDJ8G015LAa7s6tXDMnDYIvqPbMfNNK1oFlpEmVzAGdOR5ktplc7riOaqgMe6qxhoShBxQ5H0whhO6E1wND/URJV8QPgAWLlpCMlaHfxYTRE2FlRtoAsDRAu/PXQCP49H8dOBE7i9xcaGThd98Qp+xtmFa/zDqPV3onjjZnD/c+QpEO0YHIEbcGB39BL/FmBvqRpXk/EYqVO2w6PeSfmv3aOAT71LoNdAc33UV5qOmZpKOFlFIum1g697FboUl+gFG2ONQzREf08HdUkjphQdelZHuKLAySqomS5UonuXKxJ/iddLcyTvhPBCPYwq0bS81jIsj3/GMyxQZ/eLqS2bXXB78CbGYrnB4jhz3nSgNnYXe19mr2zok36NL3F5E4DLoQjAgoF8LQC1PI1oIIUMjYV6JU1ub/ybH/glWB/5FRrpDspCQ6RqIELMhBMOIDtVBD9REujXRZatCCg04cnGuP/+Clno5etkdp2aRdqpwOqsgtd15i34mloKXvbltXIhYP6alwX3pRaaY/scL/+1odZLQ2GHXMAfgKKEoYxduCx8sYeYz8tNtS/2XtbeuE5G99XQtEZbAiOIPfSR3IU9rRjlz5Yfgqo3OWCej8viH1N/CCX4cZavYwv8wEkrP3AKP07gVbWAZfTIeLpJ1Ke0/cfVfIiDnzqyuPQx25LSS38dT7kzw8iZnNjYCk1zsVKbYycOHVEk0SMdpDGTyswqWfFAiQgAxcbm0AkU/MA/rXZwLr4BSssKmIoGy3YwYL+AdVN/D79RgwioOBbtQylvYPTgHIYHLRiZAK5+fgv4YNNDmXGw8KzlKoeTR+EFgbsCCn437jFGKyCwdcJDwI/5hlCyBBLpdlw/eB3eemA7Vh1rhT2loWBbsM5Ese7EGsSagXe9z0GDEeWE9fwoQsNPIHb0nxE9cQ/8ky9AqeU5SKrQ0C5o1QkovgnYeR8q57oxcuB2HKtvwZxogpKcQzBGzN8192Jl+yFUsy747ncWyp5/0pLu/ta9WNF3AmpkHHY8CCiqFFoXmj4EvrZEZkQaCwIa18cwocJEBf8JzXvf4ywIjG69mQRJIcg79RiWoi28fKKkEDXlLn+F+kMbvxli+FNQJ7dC5RMyRgYVIhoHlBq6dB9gELoiJghz4AMAABAASURBVL0W2IRc6jNwiu/AhtJWfL7lbWgpvBt29qNwRBxWxA+7JQzHFwOfMCtF3izz5BPcNZEBEz5+PSb9XkqruxnqKwfJoSoqtHFSddogVCAePLtwXQunwQSRSUJetouzE8SEzMJVFDh2J3thTSSONeEEpvQy+JS7ToQkXuLh8fRQeVhCXTBVaZqRPIh7pY0UBVVcPt9AD3+2bEYGYETqWLPiUYw8loZdn4G/5oPiOBChOfjUIvVJHk5BR6wSgYZxpM0cDMeA7arwRzwmQxPUeZQmjxP+IoK/fgCN5dH9lD+NHdATFQMIiU6oCMEhUrGKaeSc0xipPocx8ylc6yMgeg+GNLiaAhbsKloQVtKP6hofCtcaqPfpgK7BUPtRa1+LTC/V1wVMw6SYgJ8nqbR5mrbMtTK8qacSAc/p3xtPIEP91al689CLdVH/aFhBShM43abh0RVhqMSAalVFAuRDo9L0D7QCkTjsYgJd3zmO5u/kkVl5EkJVYaX9qDs2JtqzKJPA3RxqhRLrhhk1EHB6aU6acF74e/i+8P+D/tW/kOktPpHHfcuC9l+dfQosvEopAXz0lIN4ukyM8pzEJUFqU8RaUUyUUXPPE6NGbaEAag2IHtYRGNFgqybKiTwCk7MyD/PtH4e1eTPhqXvh5EZgnB9D+KQNf1IGo5oGdOonP1pgo0RlH4fv7Dj4sRIRFGc1Gl8OlK4hEqQpOPvwdljHNnAwZpyDMCmOdPj80jhu56X53tAqaS6n8byTh3hCDoIBIBM/BUe4qJ4aQJZ44j/LO/itjI2/Iob2O6tt7FphY0/NlUmxUInxqHT8B9cWn26fsTymnu+NHSvVIBQH3eUiXKFgVT/NhUvqKgoZ6RPvTSAYCSBfi6Nc9eH98To29dGmHjG2Zwtl/O/jgy9b6K4R7WFTM49bcbiE4+HzYTPjWJmTp5m+Aaj1PA5NbgQIZuNVcS9gXmehAlsN1NhAOVSXZlDQOJK2H2vcAluIoWcznk7CorW/8cd87PdSau/ZKu7t3AsETNwSbAd/lXVpHKN6BsKpwlZi4PWR+81WY2DlCh116sdL4yx281rMf3LM16H9enwr7gz2Yp2ehE7jgQXwv5/dCz75zqc+HywNo+SaMvy69xiwOiwaixHseui92HXf+7Hru546euh6uFCWnG5v5BkngTsNPbiTXchWvTUuHGYfYCYXhV+3aZVxMD01hDmnEWupyUKGM9lJfOb0v+CXz/4TzqdH8JdBF9NhBTUrgvTYCJ56+tvYtGsfhkdXIkxlfvvb/biqezfC2W/J9jL1Hpnom9YfluaBPR4+O3NBhSJsrGsfpWkRxFTOgkv4/lrNgT+ekrDcrqZ/HToDHi48V61L/0s1Xo/Zb3XTc7iG1jq2P/OchrnRQRTyFu7/9iyy2QptFqjYfPscnKiLY0o3LDuGzSfJL61gxzavERo0rXr0ebzz8GNg/Mjp/QsJ3fmatLLrgte8gGDfH1ylUjFouraQUHHShm4BISWNq24aR/LtAZzRNmB4Mga+3uJfv5XA86dXY9a/FfoGTzk0DusmMDUl0Dh4wdcsGLqXrEPpq6qDKBQ4rsBspBmukURB+KASvaIuOtzBMVhozaa9cj0blyln5Qa43QNwtlx/WdjL8aibNrLF6ouCutGEDBe1CqbO8Fh10ZI8jcqcjpHYdoRDLlbPPILdz4klPAjfPV8rqnjuyE4Ui0BpdpjotAz8fSWEsQeqnYMoF2DXFMypHbAUB0OJKo1pWueNKtKZxR0riyC17Dw9yV8N8GbtO9/uYP1ayENBM5kkwkYOinCRI6GmU7Ug5r/WkJGX0QR1mDE8vRCiT2YAqmvj4IC99QZ5Ap/rGKsNYuhMB+aySZxHOxTaWV8hakhaLsUXsKpLy2xGu+CGuM3qMEiYKlwHlVqJYAExOwEWmCvz6x3fxV8l/FBwB6HAQKf6FkREH2yiQ2ZswolY+uiPfAONuByizAv02P5SKih0hEgxbuNNRf7qEPTczievydxTI23+PVx38c8lB5/LODhAdZj3lkateQNsXxyFOgnwaT7qBqDU8hB2FSd9LXCI2o5aFgg5QqV26O0fRYj4SpcmhBMmAkmmclHL33UNqhtWgMPjtQI22lm82RrCu0rPIYrKgrCdYzTN03mjhWZYYYdwnAWNcAyHNVQm69l4jHzw/Q6YZwsHqTizKg7sVnH4kPAArqS7FMCKjJd6bdpMzFsq1KBBcwILTyjWjDaX2qRcwqgNqOkCBsN+gJizGCF2t+yBaiR0r1/hhDtD1GkOrXpagUXtd7jeioJ7Aa0tFwu3ds1FO8NfSYVDQONqGcaxNPwvA220W2vbi6dpJ6OwQ0GotFGlTxDBTSkl4oBO+K5Om1Gz1ThUGg989/mYL4yiY0Irzc81IaASkc68xQzhvwjxwSm1BJfkD9PjNYCYz0RKA/OloMdwY6QDjPuZ34kLGw/TuDhzvgyDYN++qpPohZUS5snKhDSX1fLzg8IXkPNHzI6DBfSfnXlKrvts5znBcYfLc5jxqQgaYazzp9gLpUwNmZGqtLNmprxxrE3m2XlF1ZirTnP7FWEaAYcesGjKOGhrGYUVW93wlqZWVCBoSplRF2bckX4vRztLm/Rn8+LlgL4sGMfvotxDA5qgQ+dVKJfgPvL+8ft/cAso/wfX/YdadUf1EKVmjvxQy/FaZW6AVhQAVXeG9ItvvadFOviqDWl5HbTGabpiSCchXhQtRhm9JEwolYCz55YiU2ZW1xEjeaYewimzgrV6GVv9Q6hqLv6EOLsLER3DxNQOW7fAcrvBKN6iRZJkDRhNJCBoIbWSsyTzFOgZ60A850ffRCfyhLQXn3K3iBBgYVKAsr8roOAXoEB1XXndwqO5cVhCYNVcB4w4ENJbsOLEVrzzvjdhzUOr8aZnrkVQNXDbXa4kUnwzx8BXxCT3/w2iJ++Bf/IAtPIM9AIRasO7kDj0RcQP/oOE8c0el8J2s+CDlUlQa29G8EM34qnJj+LYxFZknSTQVIAvPI0dW3Zjy+rd4OtjWJA6ssdGS/QCtmzYCy00CTtIhIOWBF8Bw0LrxpilRKldge/er4Dvy2c3f5L3jrscbJ0XLLAfKyZkdl7nESgMe+mJnxWBCP5y5VHsTk2Cd4dtnfKsvkOeeB/KvA1/GN6IodhPoNDy87IcmdbPohS7C2YoCouYGl5k9awC35QKt96DXOsnUA7v5KxRjt4BPmEmHaSZ1Cfw06DQAE2EyOelXwcm0nUTXWmPmMh1rIVLwi3VXyMB9uiSBGrz18r4jxyHqluUiQqiDCQML8Q89vh0PJ9yz87WpP+lWqM+OtXp7yePo1qxwUSnVjEwQUyrFcpD2D4EagFk7eyl0aWb+6kUuQWuP4RQWwYrVz+ITqUKv6MjEplFPDGKVurfQGoYmaxKRDnQVyFmwJqCYQWIqDEQN7y0maDjzZg9X6gjO+SQsEGgd+UoaiSAOP+kLfPTEUKrshO96tvRp74HbWRvUq6CKgyUnCms0Crg54yqwNzQRCqJ6nVJ1LZH4HRFoPojsPuiqG+JQ6XxEKy1IVhfAcevwSKGhOPqJYsNyVw0iFk1nZd+Da3BIB7t68ClV8k0YBpmkwK8LyYgSCB/pCkIa7oKrabL4KovBwd1+JpcOIlmYmnawIRh3Ymg2pZFIZRBvkywLnBm3ThyJAFngbJWbEEgsAXBWhegq6j7qd7MpBbSMl1n1QZpsra/NoMnK+NsxU2BDvyPyWZ89JyLFRWViDQTjVNWYaMP8AeRjpCgv5QDM1E87ilL8Fjhq2YskYNWpPYhYtkhIYR14ztQf/cHUXKfglObhf/QCIKnXPiTMjspdE8qXlmytDFiDE7KAP7zp1pGIWZ4BEq0hnwxiPF0EBeeWQHrfLdkcvnrBQZ2o0kcj/pxQjcREjp6jTDAAcuowqDnqXe6KLVNwdLqcJUYRLoZR44K8Klv1xFoygj0pxW8pUngvUEFP0eCM8adXuz/2PoZYsq5nkEhcKtfwYl6RlaoR4vgaLYIoQL2XAwQClragrj0EXkPHtTHMlwIjBWTUGkd6I/QnO0iwSHhpTJtFLPg/dL4y7rdKgrE+FdcGss+A0lFICAugay7GJzuRN0yEEuFqGw+LH7S3t42rVcefnQUmhQE0NgEJ+uPX2qBMC03fPowWYmgTm26vzZNvi/v/cvyIRSNCjbShtjHomuWjeQr7ZP+tfAO8PpYSNyNXPNnpMq0/jrRKzEZ/lJakOYyX7H20cga/E5yB/60+QbwIYUQ+TcE70zncDq8yRYJq9j5QQNm3EZWV5DWNKR1T5EMBKXWOhp3t3Ochmrp1ICIC7MWhD3qjRk+YcjhNcsPFr4rNMbjYxWMVGvsfZniObXu/HE8fOQ9OHZ4J978wn78xNw38NCWHB7ctAKPrFuP1LiGs1MbEKkW8Xb7m+jb+5sIj3wHIEEu0wmFpg/BVmJY3zOERCiPYtHG6ZMlDA2D1i8bXcEhrHrhFLonzsv8r+5oleZiLRBvQleRcLxZl8IjXPLUg5tQC2yidbaKG7q/jr7+KPg+9ycfM/HgN0aRL1hIxBxsfXczSr5hEKrArDGAOyZUdBBd2b8S4FOaPV0umKYdu+dRaI9/C9rzj+Bdu7+JhtC9seat1sUlJXjtnNkLLjj11vAQ4td3YP0GH+5+jyOFdkQe09iGpAnvI9qQ/8CTv3zkq02+9nUFDz0iaJOfYwOrVlwsk+MXUFQLHWVae4Qm6S017AlyjHQRyuQ8kgGgjFI/0JrqRJLAvNDbob6koIsv4cj6e34G9lU3XvR7BbbnvlfD4593wFfnXDGa4ZdBhbkyrFmFqHsbrakjGKuuxbk170O4M45mI41w5jy4HYolCY4irbV8FeUx5c14+NxP44nB92JKfxtqtR7UJ3U4tPFcvUBzw6a2CqxH2efhVZoKKAQqtBkPEDnqJbZI5zur2ZmIsw55SGfHdkcK3WtmDIziFeI/apaBMgmk3MFRD/AKujZXgKCMWMjLIMbgFNQTB9gqr/LJbnsHRnhjwaF16bF/xdwxGqT1ICbVCHyaibXbLQTbVAlv09ouLYs0M9JFdIaDyJyA7toomjkIErYb3/oCmNbi/7pxOlfC1hTMlHbJmAmiWXSEECdTJbOKaeTcM2g86p5HoJw/BieSgEObLuzPabL5chWvxwy7rzoN/hKJ8d67Qk3sJemUhpD974oO+FBAmdr0HwsOnqs5EqahuZoP+XoEil1BJGCB+TUOO+lvR7UKqKVubOu+gB23PA+NKEy9qsEi/M4wlyqHhPCla9Yi876bURugdhYKRDFLaZRRmz/Z3ojT2uJKK29uWRENECa0Yo1oSgF+JicF6nWAca2hQ44T5tk+sk3gxlYBlQSEx57RsG+PguUe35SC+F4D8QMUeTmAS/z4fnn2CseWpmeEuhEjItbWLORojqvFCkZ1WiQJOGqr0EwBQ6GyU/uWiIwmMoW9B2OrAAAQAElEQVTqKyh06Zs9LdBFNCvKIVwoxzBmzaGz25Q4yjAA/lPUpTGu7GIcy+3COPbwYWUJIM/fxe22JHAZh9nnrRO++WtleCNMN1xULQ2zpTh4A6aXeN3jNLZKsCQv30hGWFVUidqeUfy0bhmIajU4pVHawAlCC+hIJBSU3HEJ7ldawOsg437bMoELF5AbF4jmQ+CxnKSN7XW0ecnAvH7zQR+2X6p4zrHfVGc3vtSXwGcnd+Hz+WPgk/Ecj+2/OvM0+IvrJ2nDnWF3xHvZkOrYdwT2/aOKSlY64QZ8EIoKhfmSBu3qBV3U2b+BywlnXwy43HZ4bxUqreW6YmPNjcNwhX8JUGBIle56ypHmcpozdw5Hzu/BA+cO4fPnTuI3To/gb8cG8beTg5isEv+0XKRX4XciamO2xStH9LAOhebUq0jmx1H+E7aA8p+wTgtV+lG22HoLoPohnCotyrkf5aK+rLLpwlssTbe4BH7xVRtLAl5DR68Wkanx3XvV9d4icEtyWPqxkJcXS+mY1z4d2wA+UXqwGsO0U8Tt1hB2ECFRqgEnDQdkYNZqxbh7Nw70/gymaitQVzREaPeyq1VHZv0UlIBAZy2JLreOLedWytMe989MYIYIrMYp9+wZZT5HoDrrWYeb0riQr5JgU8FbwzN4241ZtPcA/naBGTeA2HAfVEXBzre46O0F+DR7+MLDMLLnIOwqbH8UVjwCqzMJqzkMKxqBq/qh1nMSRhGzsEsKrHIQE5W3IfDR65HsC+CO2x08P34Xnjt/A3ImUeVNNoQ/gzUrD+GWa/4doUABfi2P7WsfhR5NwyVizfElwQwpC3C59NyOZ88B3/yOgmeeUyTzx0wWM1w7r3cR9oYAgy5RfOKGT1Gw5/P7BTgdtrO6yd+J4WABX2g+jv/VdRBfXH8C39l6Af++Po2fXzWJcTWFTdFtUmDA5Vi80Fpxj7gM0k4y0W5wNaCeMMBC9nTb51ANXsVZLKjShKB65UBdCcONLfi/mKVIDEXVtBAmQSDDPRTuAowYWKDuzHpED/uzaoz1oFuEZgNKLQ5jzIRdqODo+ASmnDhi4RimlBJ25yegLFqI2R46ryH5rIHoEQ27zozidCGLWMnAlnwTjIoB9fAWhGeboNo6UsUE0tYYZ7uskkx+dBP1pYsotef2+gXEk/dC7/oK+itjWEFxu9sPIyKIgbWANtSR1tMyLT2goqpmQPtROP89P3gzhmhAdK6lubLlK9jRdy/WtezCxEFbfhEhI81rCgwERSdiYgAxtVP6BsU0+NQdMyfHEwJmqwLH7/WdBJjXrBhQ3uyDGm+CLsJQoIMJctDjKwrSAZuYD6s9Ie3++ZPZ0kGaQcwsGdiXTLIBFkR0qV486XGJttkQEAYwFVFQoXbWidlVKM9qqIi6m4NKYazM5pXEErWhlnKJSRTINU+jaLpQHJoDwRqGaE6DHt/wajSP9YOZ1Ep/EOYnfwu1T/13mD/xKZhv/knYW95EUN57ou619aejG/ALVg96912QAevrfsB1cLIwJd0h0QknmkSmbQailIdWEiivtGGFqf0Uag+fBas2Dl+O/LbslHFYc7pWovqBT2Jc5DCSCSMwaKLZVDkIZkHAL5phIA6nnkdBDMsyW00R1AuUbv8JaJT27LlVgAAybg2VvVvgFkOwUcKcexAuMbXHoj4Ix8ZNgQ7qcx1XesrE5HFYpM/F6MBB1MMOEi3tcvPxcMSV42zLeYFPHFXxkaKC94YFbvELcP9wvP8MavHp9gC1aWOzZZPSTPO4hnY7A6cYBn+C3tpGAJdWOp+VPk6qHV09NDCFggtZasOyN7egCtiJhIR5fjYvzZfSFDsH03GRdUJw/UFsMS7P1z92CC+MbAOPg5UDflz6mKYXxzXDMqgYrSKlBKT9x9rSFli10kFridZUwmVMqywNXd712EgGk2oeEU3H51q2LDvPtNowdJPmsOJHLbBx+YRepW9Q6DQfV2Gx4J2TCpH/Op833iJhFVd/VMOOjyuXqbf/jB++KwiAE72EZCgx5ayHO/hUMDklXbGxnzYkhIrZ2TYcGxtj78vUhfQoymeaaOgTTlQ6cWr0Wswd78eHxx5BX9MRBEeacW7uKoQjUdyxs4iu6yegt1WATB615wowj1UBYvgbJ9B3LjrlPjFagao4WKUfgDWr4rfPPY0/dGbQGaNF6pKSOM3taKoWgWoZo5ZzSajnLEffDFuJga+wuXXrEYQTIcwVAshXNETaIrj9J7to3hxEjz2KmObH25s2wZzx5lYXbVRyKjt2uBiYeQSp04/CsiiMhBTqif1LhO4M16m6bLzmys1loE7OyXST1zQDlD87WHDHQrt33uXgjttc8MlqFnZNTUPeM53JMBTQ2gIZdutNLpgm9Hx5DXMhFBVBW8BxBSrUhqq/GSC/yKwF/dtfgHpwtwRv/Pm4u2q9dI+Wq/jN/Wdwz7kx6f5BtRqt65VDOsJED+z5Tv2KyTnzwv7JTDPRAUAsSOt1rYxTyTvQ1urCpfU3GnWxsrhfjufHn1DwxL8OojhXRUVPYmB7DE2dzRgvDOBshjbJUneheiGM0vEUzHMAt21Gb0fFqEEIctObi+RJp+E7/+eN0kFasQSZB7f54nalIIRC1LY1P4J+Gp+ui3rNhwrNV5fGqpr20mO4S5UxQp1Hno0DUxrNGT6dT16w128HyeJxpuUtqBoJmXeiUsMJpY14CurngTl03NCESMxlcBRyjjQXa3aoBW7IIWGziRDVR6vk4N7/l+D5yMJ26/b3wV63DZmVOuz6nKRVmKbkNHQStieF1/8Z5xhMokmU4/vkBhTosWXc7SArXuoOaYZZrPr0iHR+s0h0MdnWUf34cEa/5nVCQ8jO9Ox7gwpupc1zAgN/YTJqe/VVankoVgUVjfGji6R5FuxXJmJzyNdMdaTxQmhIbNyBQBtgEM2j0ny2U5fjFk67oZiuNDtSMDuSqK7vQ+madfIamUY4m41rWzJELtQTq+DqWSpLWdKNHM7+bPZ2s35R+aZUbKGi3UIkn58G3Nn9Kp7bpcp+Zigf8cfx5w1M79Xw/KCLs2MCwuKQF1eZ+a9g4ymxBNCHOFpCxBupDobPTcFx6pghIS0PdjcH+E0VhlqHodRpzLowLRfKPK2B+Ye/nMwcE4jRNN2S1oG6gf0F4ou1UeJ3Xdz+ZheMm+bBX5bB16Ay4PGTHp/7TeJ1ecOs8Z9wPLc5/KVUtb9DgjS+xOXbNDWi0WqWD4V6CFp5Fiy3yAbixGvYcHPDEp41pZ4nOtvFrPAjUvEhImq0ZJU5CMF4mOQTWXkgyIWOg7Uq/p9sgYTuOYQPlXDNQ71480ObEMgGcLpSxAP/VsS+h+sYyBPypRQadCdZL761CkDqr1Ym8Utro7i/LYxZ1wQfTGT+hBXb+csP3mx/KH1Kxl0bosFLNpv42PyIC4VKtf9LFvmA+DTCgYYPmtZ0xTmojHlzDM1eOjLiMhrj5ImnAUHpb9iyB2r3eix+eBxqZSG9aq22NJfTvjd3HmPuEPw4gh3iCXxIewA/J/4dH9Pux+7czHJRXrHfOWrKv5x28c9RGts+gOUSIZJPvOKEfhzhB26BEtEGE9Npwi0eXl6c4JX8F8O8Hnbl9Uj0x2m+vBZwjVYJqJkecSMd/0E1v/AQel3QarmoDk44AHP+qg1j6PWpZ1DRZI78yVND6Jmcm8JAs7dIHTosZHhDa1YD4NNbdTeEGbuKOX8e/Genb6KdYScAQusKDmgCF8geICo2Y7ZiTolBp9liOhnkLAs67VQP+JMIwMWatIKVMx0oFICv584hvhpSmFSeBMok5OV8axmFDRwyplEihnvzRAI7k49hdfoevOeWKdx8q4OOAUFCPhvbbhDYts1FYOxZ+CcPgCn6elsHrJ4ElJZZuME0SqUpVOwMCb7ScLvrUgAPQ4Vr1+C4Kvam3wX1bVvh+nTwwwv+m65zcGzmBjx55nbk6mE4KT+UyCSSiWncccPXcPP2byLaRn0UqcPxxVCI/QSqTgwsZGei41tEfDQE7aEQwOkxk3UlQTvn21DMkPFnxHx6gJmPhj8TtF1qCLyYMzHAC/rn88fwN/WjIDIEbw32LCtk4Pj1pMPGAjH5Un+WYlG7I5qFqrswFCaGZfQX1eaI+NEcFwm7C3a0G8eIsbBDPTKOr3ZOmg3NobFeW9EOJZiDQsyjMueDPl2FyJbRtJ8YgyePIKeswAyNrXuNMTyRrmJX1UVhQkGAdsL9Y94YyUXr+JfYGdiGi18steL60QKEVccxw0vXZxqIliKYM2cks9HI/1KzmHgX7GAKTUYJPc4YdGMKpt+ErQUAoaFNzFB/H4NmAcl8HCvcCvhJUzlmh4rIj7tIn/DLU+3bd+zDzr4vk6BgEL6WMxhY/Rx4g+bQv5kcZVkVUj38ViAiZ/W80GVP3euzZSOQJwviC5ttmL0BqLEkKk1F8gV8Ja9tuI3rPW3ST1t0TZWom9Dn7yEfavb6doDaWQK+iNYSEICi4Jw/BYWqz18gmP4K4YC6jEV7ToCmoXTzJ1DZ0A8IgWokgBIJmit+mneqjamODCo1G/aeFMK5Zpi+KiqtlBjoIaGEQ8y3s2EHOC7mnxP1jLRtrAUQeeQFaS9v7cfq9j5pHyl54UHRCZXKVk5aKOujEMU8MW9AYZ0FK+KAT+OjVoY/78LeelHgzomU5oK4MLkWQ7NViZs6wgraCEdU5jgUYAZWqdUxtTKH2kAXmKGr2DT/EyQ8oDFWGumCZdi40D+Fc3kL9e+9GQ4xhnxdUCGSxQNtEbimhe1Gi5fgFfTCkJAhod46yoLSV13ElQFEr3ZxNOXCKgmsn1QkTKTPleZ/BE09dRDad78E5L2+ulKZ+QTSWcslPCbADDpfy8H4jpmYbMWFUIEICU1qdgDxpB+GfnlKSiHtefr8aGk3SDCvYqzQBq02hi5v+QOCEQRVGsvFMl7OXe6qnaeNIwtZOwQ34Ed/Ix0vJxpneUxPVDCW76AyWRjompgPuWik56tuEFPIvuVgDSHlkoQ44MdKnlIeEEm5OX+wmH7JFmFB2pcmPab0w509YLpluUiB8j7pXQluh0tMunS8xlpQXBS8fyyyFv8luX1JDqmkho424zKla+oSuMWO5jXenA9NGeDTpBHaaOPwIq3T4aCFlW0TEmW2nT0PvsKBwxqK51RmOI+5YjN8kQg27IhCNHXSWF6FA+duxszRNZjO9iEQjeL2d4bQPXAcorcFVvdWFAtXwRpzpIDO96X/CffxF+AOT2CT8jgS+ixK+TqIkEJ3ZBB6KIDa9R+E+Ynfgn/bjWBBaKMMC6YvgAGfV5dz5dqC92IL9wsfXmC/Zvdp3H3bEFxfCH0DCfzEu2JoMp9FrPgoByMRuxqFsh8ssDYMLAinY0cfwZb8IxLmaPf7UL/7U7I8DaH7+0MKVmsCV8+XRQK+hpr1wHfh2DFwp4S29WO5hwW+fLL67vc4YOH71dtdVUWd/wAAEABJREFUvPV2Fx//iAMWZnFYd7e7JCqv+UyTpUyF1l0NE5UqYv5udAZ88Ec2SVjtqe9Ce+o+KOePS7ezYj2qtoN/ODMOPkB9MF+W/j+oNnHOYnIbAi7sQQ3nTtNYWC5RwsPsPWv2kaAJaG85inSuBXPBFURPA9Y1t3MwNol9CNtp8KaDMX0eqgp03bIWTA/3dEkQ8J3aTidJOsmpjHvzfU7tQF0JoOqvkq/3FgNl8BUzDZzr+QKTxGewva3FZWOJ0onWLVgx+P1lKK6LetWHcpzgyiXC79YS2MUO35lR6SytJL4jGYWo1qAPjYHHv7NyPfjLpooRx7k170OpnkIERUzpEfCfY3b3TkEbHSUa2yt7rebNDZngvGZGuuAGHfiI6IrmqgiWpzC9wYfizmvAwnYGq6zrR3ptAKDNgVSNmCr2nFcRZQUiog8O6pgtPAb96ftliHXjO8H0lhuNSzdmJjzzZeo9WlhC8sletmz3NbOBO0m4vobmFgvZfzeu4v+KKbjFL3B3UIAPdjDQX+RdsNBdz4+wE1Om18Gp/F4YmbM4oTfBUQz4iBfUbSDe4q0B/oIEh5Xw8vZcy+tqTciAemcE1Q0erSg95jXmxZg349PY03Y38XHnIWwT/jFVQvBYY0s8fpEO17OKFAy6GtB+u4m33WBTvwgMHlPw2Ld1TDym48mHNPztXhcPDtXxwmQZj16ooUz14LSupLRSFnMF7nuBRNNSKL9oRreRJ17ExQiNy6KmoKroCEKDr+pANQV0xUZQr8ClYVqpOVAuQa1zRwVsmp7BNuBOIq9R9+NQtRXp/DBaadMr1eTilT7cfo3DYcyrsmI8zIrTYj6azZdSNs0Zi5RaKkOfSMvy8OaXRchqspREneoj7BrikW6qt4ZaLU31y8tk+bqZumujRHx8pOZDOGwhN0mDRKho6SSc4M4g49TwXaLzfiedxjmSYThuFv2TVfhNBakq0EQC6OZMAP4Lfmh7Q0gdSMm0mceWlsVarYov9cXxREccrj+Im6dL+N2jE1JGclOgE6xYXvI78auxTotBmIQLHGB7sF2mMjNiE76UVlSzNgb3OrB9Llx/CEJEoIxd8AJJ9w8q0L6nQp8VUGa9uelGk3ix5+jjdWg0jkKBIjrfpMHyefx3I45vSoWwADNKeWoN36VmtV7BavUwrhInsEEbRZeeQY82h5ReRDtmUC8eQdpcGueVuirUJl8jYTvHO1kRyG82qR0AY05BYP4EPof9WC3fAm9+369hwy2fxLP7ji0APPHsIbB/w4PtDNNQ7/rEfwHDNMLZZPddH/0crrnrM7j9/b+Os4Nj7C3Vl+95CG/90G/iI7/4e7j57l/BH3/+69L/jdIYG75Ref04n0tawA30Sh/d9BZo6XjDtNc2Ix88AqfmZHHpU5//vMoYnqcMLwX4Ad28U8xJMNPGAjlzXsB/bXAUTHzw/eKXXmXSrAZwW8DbKc3HpzCt5HFTWsVP0rqkCmBKEfiHTuCrioozoRQqqoE41a3oZlCtAP3ZDvStdNG+VQWJP3D7eB/4+fbYBAnxK4gPuOxEdv6LRz45WlEt7AqMw3Vd3EnESJIEW2o9j9iJb2Bd8yje/34HH/mUgptudsDC9uDYc4BRBNor0I1B1IgonZsTODbUi6fO3Y79Q1fjwlgc05N1lItTUMxRWLRIPzfzdsRv2AEmHmQh5rV+oulZSH4mvQPfPfoRTGabYMcTEE1zMPQS4k05KOEcbH8C5cjt2HeqF/wpMAvZGwQHn1La3OHinbc7UoAwn/QSo05Fntqj4Ny3gZkD1JjzoVfvcMH9wcwHC/HnvfEHTdfj1+NbwTvp/Pn6TYEOcJ/u8LWAr2HBFR5zEdHIxGK1074CpOddGifTX4LiA3Qi7fAST80tIUOC3Gg+iM7YRrSHN2C2ZKJgdMiYWm1Qmou10g2bUEzWYesOap0rYccimIgHMENM8E3DY/jvT5yEXw1iSi1jPzED5gkNFVIXisCTmov/tqaGz3WdRJqE7ms1H950egS9xRxcp4gjbSMYW3UcqgKIShJly0TW8hhQLPPwFwH51EdwIbAGs9UdqOc+hBH/W3EitQPp8EqoQoHWvR9BbQ7Rchi+ig82NWE97cCktHVNR3u3g9u3fAWrWp6BGqX60s69Y0QRaEtjW9+9KE65mDhEkXD5E9O6pGcV01hH44sdp5chagYtF2cu8a/02MhvMdH4YsYoKjgejeLvIgkUSXDCwmEtnYdSrHCyMIampGklIhhVdWnvIgZJWl5ES/mJSKMhmhZJiLoFy+8VpOpmZawA4QO2VKwkas0FtkLk46gRx1SIlKESYZsJlohgdlDIAfVUAJObRmH4L+EwZExP469gWOAaMl2seOIEmCg3W5OoXDWA7liLBDpJ81laSAuKZrjhOKY6iXnKz8nrkzQSUlPJUSfiW6UiqwlaS3wBgvZenoOjjwq41BauW0MmT3E1F+26gmieBhCBMdMamLFQD5iYXu+CmZda0yEaXyrEmTWo25q8o35y6wxmo0USKGio7b6KxqLAwXgaJWpfIqnROOlKSV72lmgTk9PVwoAb9NrUjxYSUhjY32yjRoR5x4xAghRHbuBNtv+oK+XAk1AHT4DvnH0xofsR6h+uy81+IEBj7UkSkrN7nZHAuUIZQnGQyltwhSKF6Ry2ROUznpP7lxQL5GMJn/SbmlRkmgmFEqaFKx6mhqaQvXM0GMl80dfKoU6biVUYEIYfA/ObYo044fMPYd/kAFyo2LziPKL2sUbQgpnOUL7k8muk0WsrLnhtJeuP32VaoDulIlmNokx448T8ptsyYNLrm4ezGNbTSAU1vCveLf0u1YRbhV47I71roR3SfD21oNDxtmAP+rToD5xNU7cKCIHKJAnPynPQCReAHlpy4WgxrO4agiFcTI104/zcCIVcfA+RULZlJAddONjR9yyuW/kU3vvuKjZcHaM1rBWVUht8xMi/9U6gF1+FZk3BVmLIt3wM1bf+vPzqSP6nRq0ihbjWIGFTx8b1vc9QJgKq6qK3Lwezczvs1S/drp1UDtAzWiPOn8zlXl6Py2FvU7RZPIdPf1LB7XeEkKg+hmL+aRnFTdwIN3YDzp7z5hVfJ8MB2iP3gK+QCad8eGHLZ7G3tgNncu1LhO63HHwUvxxVCLdyjNdWsbC7NFKWicZaAS0grVfUGEex8H3dWlcKm64ISAFEskJQe8dJMOuQg6/F4i/0rI7fRO3aj4KFqAQG9eDTJKQhIo5woNPcji+eHUPGNDkIHOf52RfHeYdoQ/6h8Vk8T7iR1ZFMEXz9Fiu2c9g90wU8cnUdz2+oQXGAc7tIkzlcolEZQGrOWgFaENHZdgjH3FslUGubC0QTcIj+0zQXb1t/DpEIsEo7j9YWB8qAx3dIOIrBtHU94MGTU74ziQ3SLARK0gxKog9gofuUR+pIf9ampr2x0kr9wu7FKhIWqNZi8PnLNC5c1Kp+FJNEF9BYVycuSWg+IgsIBU3CMq0Jf/+Yiz3TfohiFrrph03CdlC9TRKIMrhv1UoEU2swKaIYN0LQ7Ty6R3aDv0qInHsaXLIaS6IYeJGyfVG4IUAhoWPzSF6GFHpbMbLFwqD9HfkV3Yz9PBx/CMkLdYT3H5Uwi7W4sgGaE0AtewKZDhs23yu/1ZtfbqoDXE6lkMGLrc2L02N7M9HmbDbUDr9Hj62m9e2XaG6xkJ1PvDfC2eRr7671CfAXnF8ouMgVZ9ibeMYEbCJ8IkYZemEUp40UTBiI0zA1DB4i3nzyedWH1RSV8X5QrfEnrTOlKMw4pUbCW990HsbcNDJzJo1XFz095E+vUsvDP1EigWUVdugctPIoAhttvO29FkI0ZrNUFSJRcb5E+FHNEB/0Aq1H0xTTweQspUW2K70a8S0zdR2uKi7jRTlOu0pjQFcwGPFjKqICQqBZ01DOuhAADKMCg4hb3jyo1x0oVfalAHrtOpA55rmbr3Kxxg90EZ+Vd/04Wqhj5kSZoF7dy5thvEF493sceV0Wbxgy33zdNcDqeb7+5aTMh1gYrnGtTIL6QteBuq1jthIDtz1f93I2EEeeKqSVqbEpgmlWSAdqdYpAtlZ3FLPlOFxFRzwBlJwxzNpVDFmt0NQU+rQg/neyFWuzzXKOb9nwKK696l5cv+1RbFqzj9rSxqpzzZK/442kS+mOE7U53N8WATQdv5O6Hj+f92PDbBYKX99F+TdepvP/+9kC/mHPMP5sNoBgMCaD8hdcaYYjWVAXYuwZG0Wb/PwhqFoUgtJhgXjwCPXtcwqsSRVirwZtpizjOSlPcC8dl2iT4yZm9gGKcLDpmn2oJ6++BAIwZhXpV2uzpbmcVqmmERVFVEUQJ6Jvx8Hoh3Ei/lGcjb4LfljYIY5gb760XNSX7fdUDkhbgHCyqLoVzKouyqvIA0BwWIVOG1tk/fH7Ii2QjEfwp3/3DbgujZ8rwP3mL3wQj3z9j3Hvl/4AWzb04xd++09gseCC4Hc9c1C677j5atz35f8Hu//9L9Hd0UIhwLFTg/jDv/oqfu+3fgaP3fMn+NKf/xd88asP4NDxczL8jdC8kfpG5PTjPC5rATEvcFfqU5eF/UfzMISHfOvI4tLHbEtIr8bnVdLxGmshYgQ5yRm7gspV/WxF85kz2FE9I+18lYm0LNIk46h2wlEdZIJTODtdxDVEjLYqLsK05vkd0KKm4Hw8jIJqIO7mkbHGSRgJ9BRakaRqtW/xplD7jI6t9Q7wvP/SxHnEV3sII3tGgIVflTmBPYlR5FUTnZkg3tn7BPTYJERyjhB0GXw3O9/V3pTEgrBd6Hm4cRPpvIEDZ9fg4ePvwDeP/QKen/kQnPh25INvxveHPoMHT/8Ujp68BqWZJMan16Lad/PCqahF1ZVWFrrzqaPpUjfuJaH76fE+OLRwui0ViHgGVrAFc7gaD+7bIe/i5EgsZGeCgwmQHa0ujPMCZ/9NwWlS408KzBHhQ+sZsqeB899WcPrJYUz7d6G0/RuYrD8v68/phEPA4j+mYT9WqlDA98beFOiUAvZPRzeChfC/Ft/KwS+qzPnPVmutDlztRUFRs0pw9ToMLQiFCN8XhwYRmZNwCPGvmF4HohnhCqDV8uGC2wkQA+TX51CdqS1JxtVUwD8DhxgtM7kOTiSIIX8A/2v9NTCdIK4pFPAnx/MkJHNwXh1Hd6kMaMCTXSb+dk0V+5U0HqwM47yl4d3P1lAhBn5FVYOggTXmWphsH0JBqUAUmiksiLHqIArOhSVlWOwwfatwRG9CoUYMnLUSpqBBTQCFyJuQC7TA9ucQbLsfTRYRBfUAMZk6/D2zSKRKRFxPYmfflxFODEKNj9A4iaIe7EM1sg1CV9DWdwbt0ZM4/8TyhI4qDAQVb7HrUmfAQsGM42J0HnyOisJ3Yv7vvIM/L9hgNxVtyWuB2od8fEWBe9vbsFcxcKDmwJz/M2Zj/o+99Mk0QVGfdbVKxqeTOiwgpAw/XZEAABAASURBVNeLas1+ChYCZ/UwzUMHdpgagrxMeHgs2ObN4zIxKiZy4MeodqBGOKPsr6G/GkNdq2MoNQfL72CWiNZU8BoI7lQGXkadqHtl3TJhgjcN7FAQhdu3SUijJYkVFervmonhuseJxYmxdMNR5JMZwDJhjBWgUnu4xEiZyEAjhta+9nYZnzWi3TF4vyIF6ErEx16Yq+moraIGJ1diToNvUvFO3pyNAkLBbOA8MePU1rFJ6I4KfWwVbMWB0eTQnFyJ5687gwt+apOJLpgFoBawwc/N41QmtlxBlSa9gFgfUKGNF3b5lDgbeJKaWjWAneOqdPNJJXZLx38ErVaVpWSmXr//K9QoFem+VJtj5oM8+Xoj/gprf3WGXMBNgQ4cnb+/PZilhqB+6OoJyrDFmqh76Tq02dTwT6QCZFUwUwlBz4+CZZfkgZVJ6k+y7JnJk/7ib31+HE6orej3KYSTLsJzmtX0LMaKTWDhwKa+c1DM6YsA87Z63bNEA948qYTqNOc1z/OV6P+HwG7Z7CJZiYDkxThS8fDAclXnAwLfc6jNhcAH2nsQnKdvLoVt3N1u6j1whf/S4B9pdygqoDa5tMYKmIMmwiHIh08Vmno3VraNIhbJg+87rw7NLqwPFRdQx45iZroduu5gTedZBIu7kcr9I65ZfRrXd/jQ6UviLTdZ6HH+FQ1hO58wZ6E3Z+J00Vr43k/BfPvHwQLdyv+fvfcAsOs4z0O/02+ve7cX9A6CIAH2JpESRVLNoiSrWVZsWXLcZCcv8XNLnMTPfnlJHDuJHVt2XGVJVqFki6QaOwlWkADR6wK72N5uL6e//59z72Kx2AWWFEmJNs8980/7p5w5U/75Zs7cmz4Lt38rNlxRQThah0J931oC/O3wema/rFqvyYJnrFoV+nKkEbsJttYPxSsiWnwQiZm/glrZixma9n9Ffz+ybTeLoLxJhA19uRq4b+Fd7DDC8D/8Gaza1cFe4D/389u65kF3BuT5HGvh+RoSBl4UArsL0gCo6JFYFfTXr1USbsiHzPKUKiFCYx+JXBirmRR9UKYugajWRz9HslSa3AAv24XH8w0BlqcJwXpXd1a4H6S+VBiWIPzFz1+dm8Z3xmbxpTMTQv3F6VH80fFzQrGZ/Y7pPibTHkYHpjGddiFNqNj/YtD/Lo52zFgHyYojpFcQj03ihBscGdeqx+7mYExPHnoIP3ZnFX3+KRGFR4sFbOBFiY5APMLkhIQWP/vNRtaAd7Nbuo0Ilc07u9tAXQHy0RLKtNjOPC11bkQSxr5FXw6wo2b4iFjAnBo0Lt+VUYtq7IXonhcAWnASlgVEbx4nc9pPo+9MGoXZXkgNahMEFHqbrhac1WYeolEf8bkaJqUETFVGd+9ZknzCYrFBTqZJzqYa02jALl7YLtxIDl5Cg0zpdx4H3PtXw5dvoVbQDg8Wit4JogWooQwyx21Ipw+LdBcSDVG0nXbBMtHchji143dj4eVR22C73NxJy+bLqQEtNs/CX6At1+/OMzUNn4jKuIIWrFm+/X2/C9NyFGU3TfJ1CgkjePajWhsaloq2igz+2tfyA9kpUlBFLF4sLPRLkRbo7BnLc7UWXiZpIcaJ07swzkBpFFB9chbIjyFrHkPXvv+O7PP/Hel9f4vo4DTU6iS08sNiHpo4+lVkrD24/X3UF9J8tL2rgNtX3YdPbv0i3r/hMWzrD+Tgs0epYi2fDWhzFUybCnyqF+kM1YNFvLwwH1J9FCMSjsXi4AreI0toyYzx7gaS8TmYtgPHkgCbFIJrdsHu9mi3Lxyvj4FkFQNHpA5M0CIMb/rieanwfBWE2zGrDprz8rx5w3oPirLyiKz+oHG3cA8+x12mLq3mhsEAukKLHQNqHIPhJBpwwV9BcOyWmWcNjUZC6EaoiNFKjhZvIkilbZKj85jxdBx2NmFASeBTlMkNUgRmyaf25sFTUlBTNAZeewZbbn0c2dQ0LZYBu84OiPieaIwKnQnLo39apQZIljvlHBhU95v9k7REu1Ff3oOo6yG54zYKEdzlcV8YrrhzCLncKBpFD8efs+CT4CgbnVCqLhJP1FElnMCq+BivWHAIDwk1aJ4k06JLMz0RySJy6imPxm+gp3cQ6d3d8BfJOAbPY0oS1THAornKouDzVtstCLOjt+O29HbcmezHLYl+rEteQXO2NiRRwVTl1QOvvDv+cX5t3hxulR5Bv38CY2aQp1q/K9KOngjaubC8RZYsgc99+oM4dPwMHt2zb0l/dswQKN9F8+S1A9246ZrtiIRD7AwG6f/wz7+G97zzBvzyz3wQq/u7kErGEA7pwr9SC8bxzva0sK8hf45reGRS2N8IIr8RibyVxtIl4BsdwkOzh4X+ZiYydOrsdSEs2QgEjNbzuAQCuNEIdbw1KHOllvNrqvfTwMURzrgN2F0ZVK/ZwlZcVT+BAXMKVcrSqSX60y41S5OzCPRECTMNE7+f34cYtU8WUn+JcMx3zTnQvZSIK+xO0jMMwS/76KykwAJuekBGKCXBrfl45/RqwffAzBheLlXQ2q05+YwEpwK8FJsG9Qq4lsCVSKwE0zVghRKQ2oqA7IDPamdhJzL6LBhsR9ZFoRHH3nM34YmhD6Aob8eVV8dw7/s98JnprD7yIQ/X3JRDVF6D4qGdsM1d4BV6kZFlCO864nM0HSmBB499DE+f2A1XjcCNpWlBYTXue+4dYCGed6PzZ8H8KTALHLEoUCrPwLnjq/BueQBm/wuY845gYmgIg98v49zsi6hseQDY/jyU7ikoBj1u9xCmzszM54Tj4XiXex/zjCs01Adc2Ckf9Z5gUONgFpU1g/8tVRuXUB6S4BoFmtgBIRJImO9yat/cLFRXRW+hU7B6qioA9xP0Tng3gGqYCJkjwq9F7GID4XgRoEmS73fD9SUMKj7mQiF8x7ges04UO6c9XDlTQ1mp43e7nsRvrP8OXso+jbXyUUjeYUQk4GPHG8iVbLxshPBSOIFcRUGjLOGFaR8Feg6dBNnqzEbMkCBaoHfQSn+xbjk1NCQb8TrVMx+oJudEO9WlNEbja1GNpCCrFbTFH0JXuR1xyUJbx5NI+uNoq4xD7GqPmXAinahk7kSx/WdRTd0JT08i1FbC+s49aBR8DD7mLE5a2JPKKqHXMIYNwTwPz5s+GGj/7YILPhNTMBA5aXtEz98eLNGfyNBRsBQci8cAEt4PWoDV3y4Y9bPBYNkC3o82V7M3aJLwvxzJqgCtC6ChKSjRa/Oi5ACg4RdgogAt7oOvhlmEWKzxU7DndDhwUYpVcX0xDV8Gjm+gxRkCDsrDl0932KkgSgLn9kM9KPpZlO6+Brxjn9NhPZPJshFHqwHAqSFKJZCC2a5jLnsOUmkWxqQC16vD1iowGjoYQELzmnhWEv2NSsW16v1BoTfyCgHuDsapjD0biJ1UEToxhcxEDIoSo6epYsp/AvA9tFF9H6mE4Es+jD4Xt9BCWDQu47GbjmDUcmFNE38VSBk+rp3I41IXtz32jxEY0PCn2Ygwcjhp+6j5PlbFgb6ScEaKJjSB6c1BJbuBmmqAgXB5ZgzafX+2ZMZbC0w9BCgNUefEXzfwZN42ZdQ8B11uHo1qEr4cQjpzcf2RpschrkRKaEw6Oui9ShLGyzkotWn0BNUWUjgCBqF45yfv3GTe5VTDrgkvK5zCeopOWIhIrkmT8O/ikaErAUXDwKZ26IYsQELZLRJHcFtUj7gf13Vic4K22wjbaJPDAcNb9KIS4DH0mnBOuO+v5IW+mHC5fut4ARPRObQnFNwd61/MIuyS30C49qIw12M3Cv3NRlJrJZHl2ZMK9GYdtLh/j2yHKydxzYYj0CQX8VMOni4WwdejDQ/RY1V4noae3BQSkQoctUPUz1jhPmxY/UVsbBtCr/dF4cbxLATbOY6W8tZsgUuArtO9BVZ4I3TJx7tvfRn33PgQkgR2Wsb6Fusldb9nDXr5mCDbwkn7kqw0ft4NzhPL/bwYcAYJ/InxSXih9WhTJIxRc+d2FXUK6H3kDyEPHgaMsADWGWBfKEPtfVEGu1nN42UYdGeA/NI5uNiX+y/jj38L2tc/Dwbt5+Mo5aE9SIuJFGSmvoYokF4lC/21Ih6Nm4rmI0xje6QRdGQ1170gen5Gm57R2Xkzjl/5NnxzJBgbP7amE20NKgPi5sVLBtbJeNH9+GReuK2LR3BNW0KobakY1sYiQrF5t57CzmMRdOZlqgdleNkpSPAx9aKE/Qc8fPU+GSbVTY6I/1D1hHut8G9LDmE2tBGWHwb/jUarHnubdwVjQzkP9fmHORi8bipDepfCQoTBPNIwPAJ4PWvhS/QsJIfzkTKtP0ztjoSwnvLNfJVwXRxPw32EsNM4zO2F++BYlF0uVHqzTUEmgw/YJCuU0xKB7knI+QKiX/67CwOQTRuaJArM2J30fEDNSsAzGyQLh+G39wk/06LIyBSZnYU7auOw1AU/rKN9K6Bc9yHwu1Ju2AWFeBwb8O/7azJdeLsVE9BoDFI1nEvfickTW9Ct3IYu6W1IyhugktzTnribxjTKK5XhfJ1sRsP29PefhdaQYA30kMwWyBdNbypPKmuyyKODRFd2R2hhk0FQ5t6sp1lbsfpETEa3BJKxdPyH0NvRoPE8GldQ67kONRIyh4w2WI6MZB3IUNSmXwAcn4pAgUv1kGW/yyUmOQGHR+0lMF1MOW525a/Pqv23oLpWg6fFCOTlcUTH6jR1MMzAylsPX47CiTtodNE7VELQyiOI0By07/gf45Pb/xIf6v08NmdPgZ8lv+OnkdpOL5lqxtSoD7dMz8DxLFIsQ2B6CqYvQzUkLFU3o+hBh1KFE9PwZHcnfOr7+jUDDvXvoEtLtSHcF4YHk+qehNHpKj45+RD+5/QhzFCXSCzI7fRZE+paklE0Wlg6pudQzBQxewhiA9jxv5XBG1AYgK+O0QsS3K8/4QUUh7APpVoTm1sy9M4NHbA8HWUrQnLbFLiOFcNp1H16sU1536e5hkePJZthxGWLStoR/CoVYjRVQM2vY5+5geZxEWykec7bQhJqRR+SC+h6HXPFqzDj/Rj4T9PnOn8V63efgkSPnTqaEA/Nx8pMu1QJyXZfZRAzVhmrqjY+XJTJBfDW8PtFMO4Il4CI47xogcyLp+fnGy61vfwQJUwsof5V2PGeMciSj/EjLhqEicBIIRR/H0pjOsyKhwMzFZypzWG0aFE5pBBNvBdSrIdCX3wfPWSidkKCJrtYf90ErMj2C5i0gizmMexYI1D7UhvuXGuC2RAzOoXeIll65FDsSqi+ix7nAA5V6T20PBfokmeJjZCy2ZysLPBj45enfJheER/0voU78QJulJ7BmM0+QJ0wCtcAFOrujElKMHC+JH0jPAv2CN5oVbTHLvlouWwKP/eT7xO73F1a2FmK+annDuKL33gY//tv/gG/8wd/g1//pY9DVRTkixWcGBxBtVrHz/7qf8NP/OLv4o//6puDBjdnAAAQAElEQVRoNAftnVvX4artG3Dvp/89/vZr38Of/M0/oi2TxK030DxnqYReB7cfnbf/Ojzcj3yUNCDzRIHzqThTrL2plY4U+HL9GmsXKKeLRhty0S4D0BDLq7qjsirC1fygl2tsHUDtynXC7e3mfkSchtgRVKkKp3miIYWkoqMr7UOXFIxNNXBcHSdAzYNnSthYd3F1LYPOagPt1ihsApw2TCQQq59B9/BXoZVGsOZWBXy1z2q4N9fPRvzW+F48HpuG40lgEG5UaeBkPI+QpeOOvE3yr4O6qePcZBKWFoOULYNBdxZ2JLUBBtuLVgwvDN+Ik8Wb8O57PPB56TzZEgksIPzp7saOGjpzHjq2JRb4LG/kxQL+I1UGv58/dwe++dIHcGB0N778zL3UYUEc/XLnOzxw3K1YCCtCJXYYsuwjvKqC8FWD0K48BGn38/Bu+C7kNWdgdFUQ7w6jL3s12tPrRNA5/QVwWGEhstQud3J+Vbed9FDabqNW9cECFe+65933Y0/KaKmzD0o495AEhKqQVECVopdNi8GqspfH6uk1iNA74wDhsIEUAfDHqxpNjtshKR6QP8de80oqTot3CxoAaCWAgExgVvEpDgk1NYT7jGtRQhifPqdiFQEIEZnyLjsYcsp4wRxDtdHADZMOfuWgBKmm4+/6rsJLagZZSpPl0DOqi2JmFgkCOxvTGzHthFGgAWbOOzyfh4WGgjUlrGGT64UN/hNSHSnQk8CTFQxlriCgoQ2aOouOyGOIph5AIvE0BhoTSKkOnEQHrNgaFDp+Ho3YTQgdHkLya/vglGhySG2uc9MZ8C73M0+4mD7uYfhZFye+6+DAV2x8/w+qOPs9kjBBQoc/Dd4BREYwYPKc6bMRfP7lvRFZmJ8zhTZPXNjCrFZsPNWWgc9lSi6EvdAEq4NMgDZJ4PPJEUg0A+VJy1BztbuHylwwXIb0kpAvGxImE6B670EJJUUIF1WMut/DXPIxeH0n4KRGhbtSzaFBYDnvSCkZ47h9mBagQg2M5PJwfaAFMAvmZciZQhXXP70Z8fF+HC5dgaPfiGLqJQmuFQTYFAue7XgpEBLZNSmthx9LIN9B75NmsOpsCaiXqe+oQFt9PbMIxfEUT0qgLg2rqM8w2mSEIjXqy1w0xi0UYi5mGXSnhZrwqAa+0tIm1tBo5CGRKTq3BXUSdhzNRSwhkwtwL9WBetTEozuPo1GMIVw1sIbi2VKivopAGcG0iPDz1OgROC96mwVKXXCEpBxafyJ6Y1JC2xU+Iu1Acr3wfnMQmnj8NbXNf33DJzDx/s8EwAqB7nz0w8IHqFOdmPOIkGOWivLr1WDVlz9VP1muQaZ62lmzYLohtHca0INXQtznb4nADrb5iQxrQqXaDECSUXZCUGtT4HoMus7RBH578yzYSx0rw2Btw6nTRE9DTYtivcpvniKgOzTxEibmNIxSXVcNDduujMPRAqBFNYeJI7hbY6lGefaa7dnWXOSUUMDwFl2yBK7pjQv3Q/mK0BeTAwdk7FNGwZPzD+b6EZGogBczkV2rn4TkNWBr/XCMQO4g5zfV3bFeFfktDhvgxZx0ICZirgDxTN3ZGWjEMl7sRmlmVvCOTw9ifGIAuuLimo1HxPOX2j4FPgbPJ5k6FhvG+vVfhOwX4cpJLAe2i8gWkNaixaroGazLFeAqSXikFrAsa/RyXQJwlyyTxo2gvS/HzHHWE7cL7yrl7w/1H0dRTuDucNAGxyeB3vyLeOf4H0AmoJEBDvMjvySAdRGICMtmpIH/3G9iQhJ+7uar2QnymSNCfyVEeeJ+aNky5IlBAocfgvaNz8P4/H+Adt/nAbMOt7MHc3KweJ7ul19J1Cvi9WkMZsaIS2VAxTdH4znbL1CJNKrX34UvVBThzDvbE5aGlx/zESpTJSFXlttIu+Dms973zgaLNXd2Z/HRVV1C/fS6HvzCpj6h2Hyd3YbNwwp68g0xDsY3Hkc2OQlpQsXLz1io14HBQQkMtj/yDzXkJ/qgSQ56u16mheiN4CtD8wjWW8rvXSOMyv6nhO417cJCpKuDCN0Tk/Tc9HzOx38F9gc/i3wBqOsmJHLuJrmzO2KAF1Jt3UJNbyA/Rx4Ujr+EIQ28Y5r1xSoWDVzilE82OSaNG2SovXMnoGgInStj4Ziljc9BqdTA4O+knUJo+xFIHQWMKzmSP+IEHOYpNMD/s8CGVGkGpmOgLEehJk2k2/PQ5TR7QQtJNKcCJF9CpWCLM/jRvBgs988MwTcsKKkYEjRB4K86KlUgLOeQla5Ev3IPDInAvStvEqHkYy8KXRCzDuWhrwpjwh0AVBVl/4ywt4if6xZGaXpM6Csla7QkZEi4JRKEX2k4br7vODiGrkYRs9U4hgmH5K673n0tDrbvov4shdiMBBoiwfMvBzXIBAZFKgbcTDAmXC4tyZEEi68IbUnS0UENiHzy9KpMP4zqmt2o96VxykrD0buh77gNs9f8ilB29B4CvLtQWbcKlTV3Yu7qf4nSpg/BjvfCV1i2mKaYIBYNClf+NDwjgRg9aHecMkDvdfzYpPBfTFiGmC0Z5CwTqBrkmSwX3LqURIdSEXOSwWwCkCUoNmA263YkJyPUG4Ymm5CpLE9XyzSf8jB3WMKxahFap4toc3c76GL5agPVA1mVMZFTENp5FmoMaMmhDMAPfVtC4QQxv0H3wmNl+L1Eo4Dt6pioZqGYJZELh8q6IatoVMeoPpTgODX49AotK4kQTEzbMfiyhnRaRh1TqHsOBu0u8lNxb1QWcRRnXKqxQIj6BosWyFpf5rJnuh9QqQA7pmPYNNvBTuCvbPm/hL5dG6IM2fi503MIpQM/r2e14JFnxoXeIsq+Zh/WbI/sXpz0RLopGi+lWDukru1YtWUYkgRMjfvwI1FUsBZTJRUvTpVxxW17sHHnSRyZpeeqxyGH2pA4oEFuUACOsKlM28fw930oJDtv3HoEyoZgbGt6C/74UVVYGWxv9LjCvBzRq4HcrRkXt2k1diV4oX2bdBonqD9bKo7CqcfweGkQBwefhVIL2kSLj/8o9XTDwjV4Crf7e6F6NjqkPMbIrcVTH3CEMTwU5FlYfojEJrnxZOUxvNHqTO3pyz71Jz74TvCfmn7nseeX5B0cHsfel4/j6MkhxGMR/OWXv43TQ2OYnJ4T/Nl0Eh+4+1a8784b8Zd//x38v//zi8Jdp8nVLdddga72DO7//jP4n39xH265bgciNL4KhjeAyG9AGm8lcYkS8BUaaMhfs4aJvrnv1lEBNX/qogex+juFm97ckSosryFp7XA/a5fnY63vXI/G1tVIhWzcU34WfrGBRx+XwUJdiykitQtjOFXGGjWBKAmPtmpiTinjnFwF9UswqEHWnTQMzQd31/3lHNYkRsDgOB8F00YgsxoCCmc9fDq6Af+iaw1s1cHn5X34enwUDZpEPJoYBWhM2THSjq4ICSmKh6Kdw4MnfgqnRjsIOIsB7XVIBg22BE6VrBieHbwJh6dvwm03+8ikcMlLJvCGGbxomLUVKV5x54kbCwHDxQ145NgdJDyHsGUT8B4C61rCeiuy4iBJQ7ECDZJAr/YOdGi70EYoWTbbJUD2dgIHViXegQHlHsTl1cjpVyKSiALhKkZPDbeiAS8acJpVEq6X+upgnnEFBha+GGTno2xYoHIqgKID8QEfqfWBilDVY6V2FaDFfOh+8rIxf3dslp7Bw7qZtZBoLHedczB0BR2ODv5TLzfSL+LQzdNCbxHdGRdGN9QB2Q6jQYLTnOIjp0GUa0UJ46vadcj4KfyPo2R+DPj7F6P4L6Nd2HVkEzYd6sXPP6GgXpdwSl+PtedS6J2L4MqCCt0BRlUPpXQFkyEfcQLJnhq7DdMNYM4+QvB0VaS9kMx5U4hYYZJldZhGBZ5qg9upLgVlUJc91KWPQ/JyiBnDJKCOwwlHRH00I1tQSb0HvKsddR3Jf9iD6PNHINfqUA7RRMjNQY1UsWX9wwipJRz4exsnv+fg3HMEvh+j+j3mYWRPBm4hCQ8W+tQZ6M3M8ZmXv51SwOdf3haSkJbpeQksXHisjO0XBLdhxXEsHqc4JNgVCTXfxwlJg92RFf6hI0NCtwc60NpduK75ib/wuAQJSxIUAyiGJZRrChBR0NphJVNuG5iCtGM/vP5ASo+4PZQHwPOo3Kg8w3YeOyZsMBg9mSgJ4b48JGG5q1H20fNINxIlHUndh9YfFmFm9tHz/70MXhgasDtE8Jnq+b4sJLcLt/yqKnxFglSahe824GgVKNlAQOaJBMfDjL23+9BjbKLml5GEoTrmQov7mCCgHHUbkpSgMswg1HU1FFA7pY4xPJeDNdqJmuxgvLuAfjWI5JZwD24Jd2O4awb7UxUR37vKIaHLywDu5bPCG0YGcNQCvT+LSjSF07aGU/SuI1T2XA/ad/tY9R6P8hPwvykogeAnU130LmSMRlJiRx8NFOCjH9Qn759/BN7kw5YM1W9eDB52ymylsuzCoQKVo0x1YMYQOxtTWaqIwvdCIpXzwsGPB0AGW3jypRo6pmvUvqrTyFCdYHd6xbi1I+A7Wayz05JKdks0LnnUP+mIxuLoVYM6wjt4whP7sWdsIz2bio1bk9B1GbbRL+LR7HNCZzIX4J/Ipn1YjUCUrMZMRGWNvd9Sy5TAjt4QOrUwLZbY2D8d1IcWK4On+044OJUeRSIBqifdLa+LdKN+SLjZ4TfTSpXI8jzJEnhrqx6qpSzsoge9WXVsUwID4IlIBVsGBql/8hE5lMcXqh66h0ao/9VoQX8O3ZlJwccRNqJXo5D7LGra1WyFI3dipWA7B2Ag3AxvZ6NQTmiD0FdEjDD6nAZ8z8XJauOyQazQehTafxHfiH8Gc9QPr6P2t14L2qD/9EPYMfZVJLQ6XAI37I/+EkBg7MJIWTZr/bnfnmclUNcNb/UWwbLU8RvCYzlC/bc5U8Qjg7+BqYE7RZpenDpts44W4D+z46cJ9PIRSklQw8tF9OrdpVgQttc0hCFv2kJfTP5P89z2dfEI7uxuw76nTfSNJLHudAY+MT8/UyJ64f345Bz4jHcOw+pC3/O2iZMuxeFjU3gUvq9j0lDRt/oAMXhom5Gpznl4YX8d3/7LOiKnwwjZPrb3PozuDWcw0SChmTgzaSIL7tafp7ac/J41LaPQWyAcy8JzJO546RzKcgqWBVTCFcHTEw3KZH0yKPhyuI65YEjA5KRgweJ0A9eA6jow4nQjHiqDngKOo8La3ANnzXoo9JyRfSfmwXB1IujUSwPU78izCG09hvDOAxhRc/DDcejN/+Hi+saxtw+dgeWpcCQdWoQyTY4aIuBLJblOIojUUXRIsiLO4Ff27wHMOhgsdyyFFqoBVXXRTfIjh3n5QNAG2NxS7pqgXvPYymHZnb8YEHWzew1C297PTij7Z8FyprAQ8V7FkTIUDJ9ObMFftt+OnByUN7utRE3Qwpc9Pot/OfwUegp1NBzgeMTHrC/jmL4jGQAAEABJREFUQO4aWIggUZMQjQKRqCXyqpqA3uByCMpsJemshKejPeBqLcw0uj3MULekWDL6g6EcEuVPK0ngncFmhxsEIGonelHa/CHkr/wpVPtvA+9qr/dcTz7B7cQ8bMooAL330ZM0H2wCx4EvIJM9MvosZswwyRAaMm0tnwt1maTBdYosHD2JMkemfpKrFQ8CIFZCCsIEuHt+A4onoa+cxGYtg62ne2D5Lv7P6pfwRJ3m1RSudV9rUFg/in1KN+QdLyH2wUeQ+Ngj0N57P6Q774e76zGMvtAAy8qtMK+nbrW+xG0efdne4cOXJIxV2kQ5cdq8y33MiIHlQz1/GhaNIbNyCPGGgRxmMWOn4EkastQlN/xpDDlJlP0QejUFvfQaOA4raLbQQ/RSySEerI2SCXA7d2JgA2/I8jEwGFSMr1cG8SelQH741GgZq2rUdmkMEwFI99qo/VM75YUxdmNdHhsEy7ju5qvYSajCmaDepPsCncfQ1beqiMRKKFcd5PNRnJjTcXS2gu3X7Edk925kd+ZItpnD3gmHni5DCw9A/IgKKci6iPfp++tQyzKi1Af23+qC4xUeRGQC5xME0jM/HyVbHwjSJq8lb8k1aeyahE++mt5B9MK7XU8ib6wVjqXqMZpLC+M8qU4fxxFpFKuMU9CNg/jSyCmczU8J/zrV1S9P2ujwjuHd/tMo03zJl1UYsKA6AQ8zcj5/lHa5y5KClNb7hquE2sXFcUmVjEfx2Z94D/7Hn38dtrOgUjRDffJD78Tv//bP4X/8p18S57i359L48jcfbvoCv/Tpe/HOW3fhg+++Fb/2ix/DAw8T9uf7ePK5A+Dz4b/wR7+Jv//Tf4/P/5f/S+yU//r9j+ONuuQ3KqG30lm6BFoTWcU+3ziX5vzRdw3T8MC5tFHA4svuCiRR3pEqV+qLvX9ge2tXHf8pyMLIqtdsgt2RQadRwztmn4VJ6OR3vy/PC6ySpAl2KZOHLsn4eHULuuIaLNnDFyKD+Gb0JM6ZSZiKDRU2fl45hg/3vYCNuy2wYMKB05VnkduksBGDT7j4ZMda/MyqNVDI6YmNB/HV0Cieax+CrPjYMtWGbHoQvgSMVDYgljTw8ODH8OKZ7bDlELwOFTUvhGeaYDufnb5wl7lIZAmizJWFq5ONC32lhCduDK63dpbxJG7X1R5aE9+F8VTccfiahUSsjQaUFBhUz0pXokO+EQyy5+RrhPvCMO2xLZCoHMrhw1go5Pygu9wbcwAD7RM02XRoXqLGAAbYV93tY+NPeOi7w0f3LYFaRYsHrGJb5qASUK3L6YVZvMjMnyXzTqnN+W6ESKiUrDLK5ixcV8F6JyImb0NynwinmUOoP0kD7ff3YO5beyANvSDcvVAP5AbguD4mdQeV6Cy2bHOEsF2SIvhm+DrxBYZPBS2dLiPz3TF8+vlT+DfHZrCaJAN5Ww963z0A/sOe294Rx/UEOWQgwSE/KVYAqOfOkbksR3DEHEBlRsKct1+kzYQFs0n7BRJ6hxCvxSD5OmrRYJamIkrxKNARrOJU4yTQlD5Ei0u3wrTfgxPZK0ntRDn9AViR7QjvO4n0Vx+DOkeAcjQCbk8gAN4bWkOCUARtA2exun0/Uqtk9F2rYP07VVx91wSuWP8cspEhWMPd4MvBGfz7lIr/RsL6J6IysvQM7M5qg8YUOGj5gYGo61tEgVLVI8A9BstUoZyTYZoSRqlczfVBvJwvZhzvyVEZ+IhI0gVxs99yqlcFFAI6SgS4V0mQk4t5hOUcshLvsLqb4tmJkJ8LgpPQj3KK8gFU9CpCkoeYC6wreIDj4czAlOArDwntImJRPT32gI9oSUNKNrHx6lms+YCPgbt88IKQa0EcfaQd7QAkGecaeVp4qYEvjd5ZXFoFNxFCvm2C0rPhEUhjRV2EFOIH8MyeCg7XZ3Cg/RCmh58TCyTZv/w2uooTJHCqqA/bYPDbIuGjQhNCSTLgdQZgXY7qumsrSB7djJqjoC47mM2VsFnPUMzBzX9ozKbjKRd8vrtNwtNcYwNgNdj5IlWjCSg7xlf5sKQCGxEua3iOgWay3RoCqNjJ9AbcNHnQvva/IR8K2ucPmiIvMtRVHVA18BcXDIhZH/iMiFbZ/xTko3uFeZQbLJl4YrS3MYXWcTIRGnfG6g2EFQvpKjHQ++7tpwIh4+JbKlFnR46+caF/Okvpk3th1gLHz/W+Ru/W1zSsjUWQt20s90eCtpWHR7yTUju6NXn+PcQGv4uDkx2YaeQQjevYsC1OKQC23i/0hXKKbUvCLRaT0Mh7BFL5qIUs9KtBGOH5FlmyBNZHgzL60t4C/ubvZHz9mzJYLmHw9Egb9dnkfXuiCzlladBHNYeh2cPw5RDM8LYl03gzOBrU9+Z6NZHVwqQGQw/6fwYceZJta/3Y2HsWOslO9ekYUsOPwzydhEp976b+s+L5F+7u96UQpqt34MCBf4Wh2Z8ExyEiXyFhkL/FaurrWsYV6ev1gG3GcggIlXDunIT9BCA+9riERx6XMd7sDwMuoEpywOPNrlPsbqc+qvo/fw9dgw9BpqYl3/7u4FxqAkBaYRbqV17hC3mCwVoGKr1eGo9pUY6BSBCIvpD3UmYGModrV6JkxXHi1CZ4N9wM+1P/FuZP/iql/x44936W5IvgvbQ35dxLxfeq/AwaQymgYimiH1lqhzv3ZSyX8U7vj67qJFnFhzkiUyigayoGm+Sz05UaWH4Tjk3S+j8L3t3edLpIMwk8Lw36JGEBGwemyV9CyYwi1ncI6fg0dFdGaLaO2Dkf6XwICVjYeX0JG258Gko2iulKMAZ3dPoUdsFNCyVeC2Sn98jvaIGvMHYSCMcGPsed9YkJpkA9ZArDOurL2bAtGQdnsBArUf2CuCamqKKQiXdMk7bkTcMBXDOCSKgM2fdQq8RQrOVRue0qeO291I/Eob74LJTnHoI2How157QMwp2TFJ8HJVVAycjCp/GndR4117l2Mw+FAJFpKQFPkxFLlaCQnCKTZMn/R9Uz+VfYnH0aPmQU1lxHcYGA/W9Bu/9vxUKOkx4g+SMJybWxNloS/qcHJVSqwnieLChDPl6JwT+FxlhmsN/xIWiUZgjt4KvqLQBgORy1B1C7kmbG2HvFSqXxeMXMTcaXD0pIKdNIqQ62jzQg0eubkYE/LHnYb1FdJXtnUQa/b9MrilBGWWhw0rHAcBmqUBzMwscwsb6cyjbFtvmFGXho0HifIJkxPkeZooChUYUoYCc9MOguLAuIrxhoEFjrGYkFrhC8XbTwBlnHmUIPIqPPXODPMgQ7lMxOQJKQbPOw3NWuXCjTmAUCK02Z+nsLRlsIcjoLRKmsfCDR0PGJsR3Y6GcQonZ2LjuLPy0dxhfKx+ejv86Qacw0MOlGMe7q4A0zlj4FJVOB0VWBNjAJ77rvgTeALZyPzkfwGhu8WJjmS1lIlg19aApd1NZl6tyLjQSqZZo8UHpbSMY+HUmi4jkwZg5Tnl1U6IXEazoSqGDEo7anhkjEtMhvCsecDGwCEK7nlTQKz7eZl1ij4g6D5xKKLqyC8BjYtSN41+0H0jDqBhgnYcULGHeNVQTf4JkIZkdtYW59mSM1j2PivoE9nB03AtSPsZlVfogpkFwTDgxM29Zgy60FHJ0zsWewiuGSiR0D/4jMWgOcF5B/36pzcDwfD024cA1ArUpIvqRDn5XBR8nYh1XIkodt1x6Cnd7BsQolORA74rkdOFEflQ3kIHyWJ1J9CrZC9V8OQ9Xbl2SUElcjBAe7pAP43lx9nqdBefxGaQZrlWGSNQwkpQauVx/DP8yexj9M5/HdOcC1B/Ex6UEk/AaeTb6DnmcAfM2aFTAgz2ZW9eYud2NSYesPVSmShvWx295wtSZ644qe+2M/djvmCmV85R8fvSS/qijgs9jPnJtAd2eb4B0ZmxI6E8dxUaN5FnV9ePHACawd6EYiFmEv3Lh7G67ZuUm4C4c3gMhvQBpvJXGJEnCVDuG7cCIrHN6ERJGiIte2v1hiokFa12B3ZIW/Nj4r9NeS5JSgEU07jYuiLd9xFaRkGKuSNVxVPwEWFr/3EHXsxyQBEMvQIUVsEiRsxAoR3EOruzGaDMmOioORSfwv7Rn8t+JteMjpg2/FkIsOo8PYCzVxEkpslAbJI1h/XfDM+bOBcPGR5Br87Ko1iMWApzfRoKE5yOgqVpOwHovNwoMMU+3Cne/wEEsaeGb4Hjxzcjfq1Ne/PHQFeGc7g9/r1l70OBc5SDSYKzTR8KmMPRrgL2K4jAMFAx9X8/GPuOBJ3FLsDBZW5LMgWQExvWcpliXdEuoAIvEweJf75MTQPA8/V5SqC78LnpTOe1zGwPngP2rlHe0OyQkqlW/3zR42/LgHBtgjXf6yMTioCT8NQV0BXd8ZncE3hqfw/GwRB/MV8GTt8ck8DE/GtnwPAdVAozyCQ6UETs8CJAagwzEwREKPL2tQ5BLC555BfPpZZMrPQrfHKFbAC7dDqcjgrxtORusYVsfxt+YR8b75uedqGh4sbcBfh9+Oh/UdmDaySOoW+uM1JHpCMO7cCJ5E8Q4ouTOO1Q0ZKr3nvKdASc5BCxWwyZIQViQcL2zFCD1ToTSGae95DLkP4GzxMUyOD8FyAafaCVVSYRll8PUXxRH89NQjyLsyW2EaVfhuO7zqrTCVTWg05QGD8p/6yuOI7D8V8K3rweA7t+N3rlZwKOZCGs3A9+g5dQdXXP00bnznIVy9+kHslP8H1uJr2LhqD7b2PoTq3qC8a/40ErIPXcR2IblWD/LyrHn+/dmoCaYX1TahtxU09M1JBLgDL9MExu4K+hP29KkSH21LsxHrVKGtiIQlIKb6IFkeRTI7U+Z8OBk6CVjrkZq9Derj74Py1D1URhps30UpUkTOksHpbi2rUEo1DGdJ+qLQlXGJ6IU3g+lnH5CRL9mUVg32mkPAppxginb74AWhdVSH2cGkaDZF29iI4RpZhAmIS8FO9tnVJVD1JAEQsNvikCmfvHO+XKzD8hv4bs9+/Af9FD7ZfQ5f6mxgMlGmibYK++UysuMnoVMfqc+dFLHKSjMPR2agfOkWhAloLdY8mLKLmbYKcgq1XcEJYeZd7rM+lUHMgtRZxmTtakjTQZ1vsgmN22m5udM/PuCj2pwIS888hxdGA/63hYJ3LgK8zkRM8seHoOx95DVJqVaroaZq9A5U8DEuHKnf1iUAKjYrR19iDXOe0JBVJDxRHxeWXaF2MHBUowlWm1vGXLGD4gkhnZGw5FUKFiv8XNcF3qlsiOwyRisZaKUR3MpWcvnDkgc+p5iMOFigTpINi1SxEbjXQwns0IN0OQ4vP4kXxjdRfhRce3MW1KxESFdtJ7cQ+Mxp2S0Kt9ZkPpNswLE14eapLqLyK2iAItQ/P3J7ezsMHTjYdRr72k9jrk4gLc0TWD+eGwKta+IWo2fZggnX9gq/euRqMMgsLG9SoqeDPr9R9JEKunDM5oOHMYRAtZkAABAASURBVGkxoSc7hXS8jIYVhbZPw2wlR+VjYlPvWfDzB5znqR7z4Xk6nEpQr8/7XN7EgEAjej1sAvoXAvmXDwl0J1NwHQlHx03c/6iER5+QcIBAuEOzEh5vePjycR+nq8Bss0/go9VqNBNcp0rg3e3afX+GxtQc6noKo+/+t3CvvPzklOVHXQcYqOSvBVtAiTJ4ZCVZBsw61Jf3YKq5Q7tYTGP2aNCWQYAl58GPpzB1MhAK4p2vvExXkhE3pEBRPHTXZarPKmZ5e/CigC/MloTLrZ1pZAxa6DxpwphVocsWDAfoHQ0qD/etgpEIm/O2jYgiY108Qi5L3zOjLvVtMqLhCjZsMECvhfr1JM7kt2PdtmehSRayJQ2xuoZcwsYVP6kjd2sDfiKFKvqpDzdExLyBRRgWEHfnzcLmrt4s9MWko90XTsPngrItFGQ4sgdLC/LNz8oM6xMRSMRSCddQrHuYmJDETniWJ5dKl8OwYj/TTkKivlkmwN11FECqw+7KoLGFZIpkF4x6HNozj8E4eBCozGF2QoPWMwaV5ADQ1VjfDpZ1lGoN9Yk6uQCbq2fgkgw6LSch6Q7CVHaJwixS+/+P+D8q1S5Bp3LTYKKxfjeca+4Q4Vo7Za07PwGXj1IheSpVm8HaNUE58OIRyyeZ5/8QvOOXA7mbaQ7nqog9/iJC3/1HdgriozrKlrgUgFxlf4it51VzzJSWkFHOM/3gJn4Xk9R/d2ojyFA19JO9SJP4apCcmifQjpVpAkkqOn7flhSM6ZG8LBK3F8iywmEJIlEdZ2fCYlm7pOI0mKH1BQQv5riGhzUJIDykspcAN9nAu99ZfyUqkgG6E1SPoGPkTAOyGbRNliG08gh8JUR9XYeIMpMV2pJkjZqcd09LHlwqH9VVSKb1oCYVfL1yGmfa8uDNNxoJvYX9ChQJuG1rBj8R3yTC8rEof1oieVrYgA2aAsPP4Zh9I7rltwnVo7wTfco9yCQGoGVNuNuex8jUARTOOFjJZVMrN3FeFl8uDFVlnLlfQenMeQ6zuTEovP8k1kyehk5MJrXBajlIe7OexulQCnXfgVSdggsfQ0oUcZqUJKQqZix6aaqOVDv5URM5bnYQh4SrDS7/IJ3ipCMMshTCUnPg2Kocksk8VFvCFVOdgjcqafhscitkq46j5ttwak8PDvwDJUC+ra+l+P8PpJkxtNosjwfkLW63IaEy6QpzeoBeijAFJH1lO5IZEzXHwxXrv4uO+j7QIBV4Eu1R90GjvsWfk7HfqMJO+FBMQN+nIPdsCFGKbv2GE0jesBk+PRPXfY36xcQBTfC5BlC6wqaYLn9XeUJFbKqSRpjiJeNFdzi6HRUphnYpj3L93Lz/F8dGca30LOVBxunYTRgObUaY8v0x+XuoF5/BU/lR3KM8hh5vDqeim7EpezvsUB9CnoV2TGC0EZQnR2hlPXC+taIEjZ6F3d5SS5dAJBzCr3zmQ9jzwvl23eJkIJ6PnOGjZb71vafxd/c9hJuvvQLJeJT07fhff/kNAbIPj07h6w88gXfcsguyLGHDmj5x9AzvdPdpgGf/x57ejy0bVrWift11+XVPAXgriUuUgG30CV+eyEq0QiYsb1JiIAW+LATCBBZdrYFHJ4BzkdcPbI00J/mtPwNZGCELiiX+Y0ICfncb57DLGBGC6gsvSuA/naKhjIR9wI8XQP0kYlEfUTmEG6fWoN0Ko6zX8SQBoV+mSclXT/4inhn/KHzqVCErpMuQtBLSlWeRWiWjUfAx/nIwCH0wvhaf6lqDDK3wx2hAuUvqQ9yYgUoArAcVCHWBAQ2eNPEngC+O3Y6/ePZf49mRe8DHuiwHfi98NjbLFZJSyOC+CrCdgs3firLMaEQcC4+TSSiBcEvOK7rbY1sgKYDZcQSFE+eD3HR9MBjxZLFSPe++nGnusIQz35BROBnks22nL4D21IYLQ8x5hzHofkUAz5PeHhT9kyh7Z+DBgoIoCXO6CMBA+3dp8eeJqTy+dGYCf3F6FP/p4CDYfm09gahE71OZRX6ujLoWRsUDDIohSYL/S7U0kMpCzUWQuWY2UNcXEF4vA23tsMO9QjAgeRsF1aJJoYkn6mN4SR4VoDtPks+NSMjXVUx39CD92V1QPnINrF3rUL5rN7jOikwSYbOTSWBbRaX66eKpRgGDsdP0NA7uKikoKWG8UNmCWgWYqw2hRBMiazKG8rmt+Fb1XajWt5KQIMEMEQPFd8bxqSx8TJBgS1ax870lxLuUV3ZTEEX4yBAUmmC5hP5UbtqOw9evxv9tvYznMIe/Xcdc1GaOdcCjVQ85PIfo2LcRqr0IXoRSsqPQO2bQvu44cuYYzJkICZJVmFi6b1hPc/y0LImd6y1AwiUhF3QNu0miwJoZD7mqBNsG+EgSXlxqLeLxp5ujblAv1muBLgKtgLRRjaD5OCZiDhr5i8OGMxSJZUAy6RksKkd6koZWR7spg7+gWUPvULZsAWxTUcCpAPxHTbwoxItDUy9JGHpAFu4zahHPXbEXa2SICS/FPH/rMeoSKC3XAjLVnHA/MTsmdCYhKUe1L4pCVxF2XEYtlodOfQj7VUvc5/iQoy5+LLcFelsW+c4k/vqqKH7l7fSetBI8EvLDZ8awdfpRePVReJpHQK0CmQRne4hmixSRqsVQ81yqEyai8YvL4qfim/H2yCrk4m2QqJzNnIupqWZloPB8M9jOiwv8HCF6Hn4uHhMks4EXfJrgw8cVvoXlhF+O47VUyv49EBMGilQu54ESKTL/IPecLIvgElWcetCNCXvr83eeqHA6I27gacDGwuNkTpdrkFUfHVWqzJKE9k5DjAUikkVE5JncfD1M9Pzd3kmNhsKOldug1KZxd1gGtyGe3J9UA95DBLjzIuL5UIGJJyGcs5KaQY8CSC6978Hv4oWptTARRntXCJwnLLgcpV3Y1ObXeHPNtmKoDZhmmN4qUEk0wLv3BeNbZNkS2GKkcBMBh+kuC1NXnMQTNz2OynWnMHvVKcRzNrYaaWwmtVwEqh1MCs3oruVY3jTuUswTebWrFngRgi2OHfQ9VmQ7XAL0dm04BIUmuufyq6BJPnasPQHdkLHU8+vNfovlhBN/L4P7YT6qi/vi1iIgp7GcmpJvwXjoo8t5L+tei/VgYGoCqmfidK+HA5tcPL3LwYukjq/28BTJgf9+wsNvF1z84pyLbzc7Dt7dzudoyzNjmLHTeG71Z9G2Or1sOgs9YlFgx3ZuycDLB2WUOrYKb3nwsNAvR3hh0JVtVK22edbRveV5Mxt4XlKaYBNg9ATvJbC9dtQNSZBkDwlfhkfCSMN1L4i84XoYqzWE27VtgTwwe8SH4knIpSYRUuromgrD9Xw8MZkXfEz4aEDWb2kes8XmpVT+NLt66Bo4g+MjAzDqBjug0L4La7afQk/bKELUh8cVE9WNJtoyTyBafFDwTJc7hM5fieqaMF5APALarff+FNxb33OBe8vS2RmYJqcCfXaO+lEC1SEB3ZFQ4Eg0RGPN2lgEErkPNeqYaPIP9JHnJW7+akQyQ4iEqqCmA8s0UKjNihC1neuBSAxafBUMKwqYNbjlUcwR0CRFqwjrFcFX1UdQyQZ10j+Xh0aLxR3WHMmjPgaVVVBJHoqr44iUpqFYJdjxXrjJHAzZBjyg0fDhXnsHvLZuEZ99x4fACzoOyRE+zbd4/Lm6pyT83OEjCB97ABIF5J3ykmXDaCSRKHfBmKJxalSGSvMvjg/Ni7+2laGjgSl6S9WmKyXds1aY5dEFCKhweW0Jf5mkwUJnvEhykYEwyeucwsCwjK22xEakZ2VoVK35SBfLpzpK5RLOq0LWZ1kWl7kkWsxjFk9hemkVjQd9wsRUkPbkJJWF4SNLr1gxQaC7ApVkaWpqsFOUkUtHd5GvT7LL6oQMUARnZ7IkRwbjUWT4McH73MTVKJPMTNUVF331ITgCokkpdCjB++qlOGtFF9TNIxT28D13BPdVT+NohwvXt4W7ZXtgGZvnfO+K9ON3s9eLiHhuxUeysOW2kAxZknHGjqNKwHtIonqIFDRE0S5fg67klTDiGviYyGHr+yiM1LHcZaIA3sR0zn0Ao+5DGHMfo1ppYblr+mUJ9Ukfc0eobJpMrcUUda6E1SPHYdgmHCqbsQM9iOwP+mkjyXIxBOhuESBfo9zGGwYM3wR/Ea2GNCjRKcx4GvJeDBlZxSZtQRoFSaQWilQQbfYnwqFJGGdat+skuO/YergXO4128NFJOYfmKvVtGKy9Ddze3GkfxSkfXnOhSh4dhLJ/j4jF3Xw1YARyJTsUJz04DWrGbSXI0RQ7zSteuN71L6q49cdPInfTRviWDGlkcN5fHZvAmvZnQIni1HMOSjts5HtJUZxtioK3r9KwaVsWoeFuMMieeUZH4qAq6iyD1gy2U9XDSi7FGhZsitEh9KVIVgbc2GaoVPZr3b14oeziH6Zr6DKfRhplTBlrsTFzE1Z3fADHo9fDkIB3Sc/gXyj3YYt3FkPUHzWyHwLH0zBW09tz0S+PYsymiJsJcn5tkgHYakydd2f7W+riErj3nluQScUv8vgvf/xl3PHhf4X3fPLXxB+n/uuf/TA+8YF3CL7f/OVPYq5Qxu67fhZ3ffzfIhoJ4Td/+SeE37vedg1+4ad+DL/zB3+La+7+l/jUL/8efubj78bH7w3C4g243nrrb0AhXy4JW+sXLKo1LfQ3M9ERdLwN/+JnaQ08+vAkWiAxXqNrQA0aJn8mtVSULNDUd64VXjd4J3Hdxjp0HeJPp44djoEWz4FYHg0SduMxCbIsIW5F8Gvj1+I6pQt8KTUD2nAGtj6A2cRHUUncDTeUghyegzFzBL2bKsyGwcddoTO5N7YWv9i1Bdd3pHB7ZQAxAtwV3YHpheBo7cwCXQMYdOcdHrano4Oc+VgX4bkCos6WBJfLu0WE6bUnFXccreNkZOivKAEWhiNxGqjDVUyWjs2H7ejwxbNWSd46dkxGhXTLnve+yDBNwCWDeKn1Png3cPtVgVDZYrRRxRAJRgX/sHByyV71RzHr7cO0/4JwC0lB/eSdTwys7yBg/Z5IDrwjlCczGXoZBlWGW0nAVyRgUjkNnvtVlDCKkg+ZpN0BWoThM0adxDYgljyvwjGAlK8nCJINdl9MEAxVUVwoiifS57Pz6qE6br3ZRzQK8FcM977fQ4zMdlcG9Z3r4C7aiTXklPGCXkaMwLmy5WDCAZ7rPA2Znm+dJUEygNH6Kgw2emEd74b04o2YOHQP7u/bBCcZQZ8lQ6EcWUYNdZqgzroUAeXmNK8GkM5tlT/PIyMqJNSxHpJSkAkUZHPt2s14ul/H/zO3lwTY4AW93K1jkl4pZtrh56nCqjLk5Bz8jAcnlYET6YAX74EadrBx9cPwhnWOChX/rNCXIhuoHbD7c2ZQVrZfQ4HayYiVhmG5yFYsaNS04nPBsMXntTc29wGSBHNdL07YPvjqUZiuXGUpOVUFTIq8Pi4+WK8wAAAQAElEQVRdFNDIBvG2PGzPQSlaQk7SYa7vRTaeREedhOVKGebVJTEh4HraoL6EQZ+ZfZLoV3ii8OjOF1E36ljXv7YV3QV6tDuw9sx2CMOxyqTQWyQurYJneDh0+z6cuZqEdzmoz+Vi8E67uiJ4b9+V+NP+O/Eb7dehTQ7Dj4Yx0jYBR2mgFKZ3RZF59BqdiEUmIHLSgjlhQqZytDwVNcnBTK6MLUZa+C8kmqTgk/GN6FAyNKl04KdqmDoUhlUJuBjQ4kUxXnQIZYDed3gwURCTFLvQwGPtW8DX2+QGa6+/InBdff6hIB0xWQDkmfHA/gPQWV4wpfC+rICPN6q3qkgiDTExIT9OdyR4LThkjou2s1nLICJpOFWmCkP9SXjWAMeR66RGTGEuuk3iY8UeFDdrLZXOUJuSZMzUk1BrU8L5J6KS0J+lfqo7Tv0R2U412zEZ5+/pSjA+m1oK62nhxJg+gnzJw4Hp9ZQfHby7fZ65abDDBM6QWWuCvdxvkxVR6t9YtwxX1Dc2v6UuXQI5Gk9+M7MLv5naDa4Tnm5jT+wUDqbOQiXg4d7o0v0Dxyq7RUheA66ShC+F2OlNraRo0Hiq0xp4HOSHqVQCNzY7Rj+6szMwNNBE14emurhi1QmSn/qWfP5wO/EEVR/cDzWoH+Z+iftiBt4nn5PB/TPHvVixDMJH+9z3TRlf/qqMPc9I4J3j7L6Yd6Gd5ZYnD2XQkZ+DIddR3uLCJJBdy/noSwC3tgN9szJ0WqSK2tJ80O3U9ja99LD474e5agQv9PwknFgaKzlGsBXJ5k3+vBy1fzaoNwyUoNVvtBiX0OWjL2KmugmuL8E2FPBYOjmcgj1zftypTrgCWHFUGZk2GSu9fOr7livnxXEwGCFR/G22DH7zo3XzApYDhTJa57Az8MxHwBQGJSiSi3XbX0Z3z1n0TmnQajFwWF5k5H6PVUSRcWsHDUZY/po+7oHfSlvPNPYeG4BK/ScNh4j1hGGGt+Oqu+7HVbc/h9T1T+Dqzs9DKe4lsL8IV05iwtwmIs6kOefCeBHxBzZg8YJpi4nrPMv8bJ+clJAvAJVIDZx+d9hg53m1vXn0SJ7kj2PHOcdAKuXN+y9l0GiYmHI6CMSsQaGR2HUUVM28YPVi9HzrekhGSEDNXgE/3YHKQD/MDoBjj+pzUCQfkXAZk5E28OWdmMSqyghCko1pO40aNBhGEeFwBarSCf7TzcqGd0KKlZDqGocsOzBpUZ/D2j/+87A/+W/grQnkADvRBz/sQXJMdD/5HO52n8FN3vdRLjM3oJ2dQ/KbTxMweQpeOApXtYRH2OsVRx0KS5NEpUB4Kvknmy6A39YlzNL0Dz7mi4iWINw/8FiYCRUQi/lwjTiKNCULh0DlIWH7oII76jI20kJBNAox3zP9Aj2zi3DFgEvvYIlofyCnTIrS0QGLiov7rhbwnt3giXgjw4rQ692u0F8p4fnC6qQEX0vgTLEb4dFnEZrYB5UW/htSEvvyN4gob9nqC305ohEIniUZCnS105jYyAf5KZKM/MWjDwL1KtasypCvQ+1Ngkmyadd15+PkeT+Pn8QAPrKPdT5e71qD2pHn4w9JpmG3hSoprcea9B2IJOhlhKsY8R/Aifw3Meo8hll/P3hzFqsR93sYJVX2z4rgMnQ0MAUG3W1Uhdtikj8sCafahNAE4TY29/E7UHrXtahduQ4DHZbo40bMdkSePyZ4VmlxDIZTmHEDubhhJqjy+jBlDT6pdFpGxRvFKTsLCzJuCNHLFSGBctUDA98qlY3tZhBq85s+F2qpjT1QZRfSsIqfsXbgmlAHSlMejpfugeR7iFB75T5n5BmqIyQrez1rRAQKjRFscDdfxdq8qowTH9nSq8NEL769SBfUjdvh9m2GF0/TfDIP3oQilFnHgPysyA/GZZw+YeGR/VU8PVjHeM1ELGfCmFuNELUZrRiUqZ300ejxwGD75Y5UWpgbx5wUVlXvFPpypBa/FSGaJ/dJ4/jH6QrOFo7gGukIYUMGnNTdYDCd1abs7XgxfjdAHesWdxieqmMm/T5sChEWQJHrRjsMz0HSn8Xpuk8u5+9WezMmZcjNPvG87z9v0yNf/e+49fod84Vg6Bqe/Ob/BLu3HNl8+LG/Qks9+IX/jJ/6yN1QFFmw9Hbl8LU/+w949Gt/IML+xX//VbRlgvfCmN6//OT78N0v/Rf8w1/+Dh76+9/HL//MB6Gpigj7RpAgl29ESm+lsXQJkKundxAFFDfoGITlTUo0iQYxyrvtV4heePPAwwMOuyYefJ6111S1yUHHzwDlUhGbBI7ZHRnwrt2r6sfxzjs8AXqW52igm5HghGsimFv2odKQWPIlRAiAeo+/Bp9r3ITrDu6CaQGDZyTwhOzpozswV8uSIG1A0kpY2/a8+FOpRsFHfigYjDjCt4d78VuZ3ahNSEgnRulFeyhabYjGzw+azHfj9T7edosv8sX2lSo1H5S1kw06lpWGWymfRdG/muNkSLafT6Infg0k6tfM+BlMHw3KmT1vvCEopyMkd3CZfvkrMr5Ok91vPRhMdpmHVXVMEpNkhYqMj47RY+x6XvEu9lH3+3BJEFJIiOPPB1nlpN1IyhsQlXpo4hAivRcN18MXByewu5bCJxpd+PHZTvz8+AB+VV+N/9i/Dn/Qswmrwxpm9AJqjRJowR39W0PIkwAnOTK63BB4UjcUeQ/mOn/1IpXv+FeQTQMegdszJOB4ko8excct4W7wghDv2ujq9HEvAe2Lv2I4auXxndow/nthP36HAO7PTD2KX599Bk9H6+gvewi5Cmp+GB1RF2ejeaQdCztqCmQD2DN1A7SDN+PFbCe+9TYblZiHKzQJV8gSABuNaAUTFF4ybailGgmOQdl7JMI58cBsx0ziBVQpCm1iTpgfiZTw+5QfPn/6A9G14jnY4wu8m58M/vH1cMOdsOLrUE9ej0rmQ8h3fA5OGwklNEkK5+bQPjIB1wbq3hSFWPo+f6xM4G/Tuzxot0OyPWyfLsKUg5fOn+WalM2Dtg9rdRdmP/UulDozYOCTQ/aq/LxsWpnqJ8FH1YDJOAh4pkwuCsZ1LkKymkw83BYsx0U5XkG6s0twNrYMYDW9A6Vuwuqria8uNv6EhzU/5qH7Zg/ZbUB8wId8RwF1FNFuKTByweQVi654fyCg5WppQJIx7FYhV+poXXF5lTA6uglfdaH7SWEvTzpCN9Ke0JlsNtIBaC7LqMVnqEdzMd21FmNrr8JEbC325zupT5JR3WfgXOVWmjCHUaay4D9M5fPbB9QER7OkCkn0XmQPatskJGrok89KmHpJAgNargXxzPz83E55QYcjmSsoqFFBbyhOYOPQEXZ63ZX2/a/SS60LEFycP0kpyqODRH+wO08IW002cU6ewJh9Dt+qjoL/wIvVY+tXYYrQQWlkkPqMIJ0JNwC4d4Xawf3PqUoNUaWBaJXrqoSOLpqdB6wXULkJFHhxnnRe4IVoTEYkbsB0DRRmgzrC4DlPNplzJhrHTcZBrC7/BRikZTdWDEZ5TgGSJKHXiLATAYGnsGdkGxj837A1RnGrwn0hcZWmnGIOgx4fPJnXdSCMAviydAdRWWXjW2qFJcBtdCHwzsF49xm7s3kppdpBH+rJyaW833RuRhMgsKjv4frED2Ba3C7YBNRjNyIRqWBj/xmoWhi9nTMwNAv1yK6AYRGVSM5Y/+Metvy0JxbmuR/qu8MHfxHHffnsIeD0N2SxCLowKJ+5fj/JHdVq4Mr1m7++e/pZWch7LJNMkAwX+F5IDxyQMeZ0YefkKNYQ6HSt5uPjtPj12ykFv1M5i184/gh+qnoGdxyxsfsZFf9fWsHvkd/PHnkEvDBXq0l4LPuTKJGMcP3uC+NeiY3lKAbzTo2GMa6uEUHky+zqlal/kmfGMOsFY4rPzbtDgu/7GKE8ikiIzAwFfVO0WyLbyu+z35Fx8ksKeDy4XCgGUFTVQ9KXoTpBH8L9JJrXCzMlYdqWCmSAI0caCDcUhENVtK0dw6oNR6DJNtKzCXiU/xdmi+AjAjnQrmwSIUUmdw8+yXDstlBVSz5sEnVkiXQCtPn9R60QaPgFnyVfp/qnhSz0rX0OmzoPiqBT1jaU0x9Dsf1n0drhzkeJCM9XQXjzCQfj4xW53pkKDaLksC4e9M9kFPf6pr0Srov+lx15xzTryymuFxLJo0aoJljq5RhM26RRO0iDd7nzV4wgOcGPJTB60/sRTRVJXvbQ4dtQ9TqUdBFzUjAGJYqz6K1PQVV9jHndtOjgwaVXFo5Z8Ltvgu4fQGr6T6BhGOFIBbLioNEQSYMs8JLZpgVwIzl47Q6gmZDrNWydexnZcwakl0m2OhKCfrQBtVQE56/wsXdiLlxAhUBLnzqKyP5TiDYBS44wLq1mTQCTwkBkfqcu1fOVLEBRkFd08zi49yVZhLlmU9Av8zPZNhAneTKZ8MF9SNuwjFQDaH2N4KAGyXYQLutwV7hRSqH+kRPitsL65VQnLTwyz6nTkqgrXA+0fped5pXV3HE777BCg0sLCwndRzYcQsMPY2LWQHT4MRF6T+VOMADcE5XQtbSYK/haZJdhQSbAd5tWhEkLkuw+Eh2lturitpk67uneConqOwmwBND60Ls9ZplXt4SprpDtRXOaaHDfFZaRpnkPz9kerF/IzxwaoliTuh1tyfXwLR2NsoP8+Aymiycx5e4Fb9CyUIBCfHFpFXgu2aO8Q9jZfSnQvTVHRfOqjUtNE8BfKQcbqtaj/coUfE3ClJ+E5LnifxOuJpB2zIii5FMb8gHFjMDwG5gG9WeygUS6Iua2h+0MLF/Gdo0aHIKrNO2RfAdEIwVocRk8xgU+i2jbGnRvnCC5Dzi1zwT3e3v/XoVKxbNm7X5cefeoCFAYCuqIn+sWdiZe9xpavDpvZzdepGQ91imzdmmVC96RPHp6fsOLnGnHwPaCyM/J7ziwjyjw6Be98gBK10TAR7AIgH27g7nrLTDQXl3jYKX1v5Uhy6XOnSyaQZM40pe7NxJgXjRWI4Mytnp7cLfyOCLU/51OvAM7I6n5YFl63Ouyu3Eo9UkcjmzCs8kPY1d8YN5f1dvhSRL4eJq8bc27s4HzbnZQgZOltehFxrfu17gE2ttSyKTiy8ba3dkGmfqHZRleJw+qOq9TzG9Fu+ISsLU+wauZw0J/vYnslqE4s69LMiECYjhiSyqydpFqbF0FFp6Uag2hw0MX+V/KQSIpRp3KL8uSoxVy9qzR6iLrS6nKLVeIwc84NYqumRG85x4P7akUWA6vqkWUShKiigRNAiouEYqEo3v/dWFsSsaEEDVA4BkLxUeOAU8cuwmWlkRrl3vPErvcKQpxFwmEb8ueAuH4GKuuR+a83Cn8mfC53VKQLFtXpORyTfB50bDQFxJlQoJCYDV+gGvhcTJxpQ9F/zh8Gv4vFWV4SEF2j47Ey5pgC0k5ZFM0KIWrmDNPCTcmsSiw+2of/b0+WCDUf4ReIgAAEABJREFUdaBaBfL0mllQ5SN/mK/SPN8yvWDHhIkCCXvT4E/+eBe7R8BxIBy9AxqiQsXl1chKV6JDvhED8nsRkwbw7dEZeCT8vqORRYZWpwmvguQAIVpNTxxUER1U4HoexuLjMCoy0rSyHlsdR80HSEZGv2eAr1FaiWd9KSWbAe/JqEkdO7Baj4LBal4U4s8fGVRfGG7areNz00/id/Iv4G/Lx7DXnMJRmgUyyD2gxpHLdWKXm0DaVjBD9XKtrmFvaoreQx3XUXnVQkAt7eO773Sxd3MwoN8VlvCZsIyERQIfvS87VMe4o4AXaGSqM5PVgM9CAZXVdSHUVBOBcGJYMfCnvF/sNPG/vQCg5PzzFxusg659/RGY63oAU4d55m4UafJZTd4NK0RCrBSCH78CXmIVtJCLHp3iqDn0hgqwQRmm8HyzedY7QO/wBazXgJaQPEIyn0t8w06ShEkJ1xL4b8sqB0FnQYJtSzjn0AsRLsBI09yjSKDHbrquTEvSO5YVoBAGypWIeO7FIQfe5WHDxzwSzsnHsVEz6tDbgwbMC3lb5Tgk08bR5s5hRQdCND9NbQA6rvXAgM9pmSZkvoeNsRxY+KaYLrqNbPBM0ekwUkocFcXDSHF6nk9DFCG0o3XpMgHzZKmWqcBI70rEiZ6/ub6xrZJusIbGtAuzpx3j8Q2oEEZbtX3oEtAW15AgYd2kcrRkF+NdBeSUkAizFDGQAlQNobZz0J0Z8WevM/sk8MXAFj8zm1k1fHpux8FeOQB2dswMQypTA2fP11HJ+/aIo2R4d41z87vh96wRqUnTY0L/QcgsoXpD+iyGMIIz9gn8bfkw/rQUqP8dyuMXdvfh59ZHcahyCNPOOE3ignbFk8PnZmhslDx02iXMFduhhsNIZ6Qls9P6sypv0e6iFnMqawhjrVyC5FKnQ7bWZNMNq7jGOEEdUQEHT38J/4fGPD5G6/HJPBJSBZ4sI6EFdWlq1sRoNQvNMLDtygvrEEUpbtvoE7rqTKJWCtLSNGozU0Ee8m1VDGhLhxUB3yLLlsBmIw0G3v84dxt+Kbl9WT72kD2qP2Tw1CTRN/+tNrsZs+AgSkAOP1Hl/BAB/jzd1vpx05b9uGLDUbz9imfBdt75jstceizoh3nBM7fTx2paBOV+2alAHPPFx9RxFAx08pnrLNfxcX6f/LiHD9CCeEs20ak/Z5nkew9LOHrswrZ66jTAsiDzrKf2+Jv7/gGfeu4buPmBP0f3H/3f0L7xeQGq7z71p7j75G9j++HPw/7uQ0jtuR/a8w+JseyJ+IcxG1mN3VcBG9Zxjl6ZikUxD+aNxbaJwPJg8KWfsCxBRN+i+Jg1B4RvZrWK0EaIa5TAD79eE+bS2eBlxHpkYV8JcS2gPgl4NJ4sBJ6WC+srgER5USmJcE2BT8PgSK05ZrneRcfJVI/LkEn66es9BSt1BdLrCkiQ7LJ6zIDthfDcdAl7CXQHXbwrvFxx8cAXarj/76o0xgdjJXmJe/y0Axpm0dE9hNHaKuEWk6hjI9NYvSHqXy1xB1wlAyu8Hfef/Dk8fvrdaPWHE5NBfVju6AxeOHh5Og/bcijGpe8uXuwgr9axMrzDnazoiQR9K5tZdZM9Q4u5Fi041fQGhMwcZJW9l1QG1V3+mG1cyQb+NpWcS+/HKwi7FwvDbJ4zzRuSpmnOoHbMQAuZSOv9iJM8IOs2nFQFPHeTaSzPmbOwaQycRg4OCbtkxCrlDHIzX4JRP4gqvb8phBEzypAlD1VqbyKxRcRO9MJPenCvLMFfOw6v30Kjpw9VN4XGVAyO6uN0exbf7LgNX9jTi79p/118RX035q69Agxihg6fQfzhl8CyakjKQUGUJN2qmBeIpHinblu3MMrNxWtheY3IkaOSALP5C4XeeCCn1dSccItEfKxbRwVBafFchjR0tPuwUQXPVYyyBMWR4GSTWMkluQGXT2USmC5NU+nAv/UlBP9Z60LAz0749D6D/AWcK6fcXpm7NyTB1ZM4NhO0m3O1XhwY64NPeX17nwQn6jHbJdUuLYFfTz2PDWoajWLAWgkHFWbbydOoHc+jampQZB9RScbsrB0wNelmPSNMvFlJGIgwKPqZuEQmgI/uOmBd/JwydHQnd2BN+H1InLoH2HcjnOd3orFvNc1nOuDvvxbhl98t9PxLMbDqlm6jUClRx47ZD+IXZh5Aa2f93BGRHBQ90Otzgb6Y9vVQXug5RtAGyXeg5MsY0GI4FG2bZy3YWSSlGqaRgE8RxnKjVKdVnLVpQCOuTdr5cqWmSC6AbrgItTcTFy4Xk94dlnBsUP/5whds+DUglzyLjZvOIbp+NSKxEhoFH3OEVXirtwheJguPb2I7q8pkkIfcRuq02eESqnXUojJ4BFIpLzj99m7032JApf5FKyg0zwM2bT+J5A2bYac8lLc4YICdzb4qgrxiotSm4aABHxItHHZcNvxM/FqEfAu3yy+g353CUHgjNqR2XRQuLAE3JQYQ6/gp3JbaeoE/+9W0IC3bokHwAl+g1lz0MiblRT5vWf+pl8Bbb/xH4A27alLkQrYJmBCm15fE8vchOfPn1ME1R7fXMDkDBMQAML1AmCPjBTcLSfXm0S6hw2chM+pzAccFlnmLcXIEyW88jeQDz4LN8x4LDLnmzG3IKS9wvdDIwmXtyvXCMbzvNEJmHddemUAi7kNpm0OF5hbPPy5DdgDXp86RBCKXkNYJEkIdmjyw0HLXOz2883YffQQSny1ux0ShjYQ/A5JWwrrcCwilJBTOehfscnfqgF1qIB6fgQcZ041e8CRJZOQHJMpc8LxO9kKwQ6JnUPYD0gFfnNmHV3lV3HG0jpMpeqcx672MYfc7sElwXByl3JDAIHuk+cmiRgsYYQLfmS8X3QLFoLqROYHCgnPzNm/ycdutPu6lCe5HPhRMdLl8eQLLE9lDB6g8CTfyu87C3PQo+FO/QfcrGHW/hzHvUVT8s0LQ5t3sOfkaKl2dk7tAWTbAk+pvvVDH4xN5vLuYQ6QUxp5JH38y5OCrky5eqnuYMwGH3vmEV8BUYhRtkgQ9piLfFcKZuIcGlWnC02B4Mk4RaH1BIgssXA4Nqi/TmotozYN2PAsGP++NBaDffZXTmHbr4HMHv1A+jl+eeVLsfmeeuyID4D8E+s30bvxZ+9vA5xS+t2MrNjV0xE0Fec+H4zdQbXdR0OrY1nDRTiKFpwAnqP5maUXnZ2Iy+Exn2STJAFTmoaCOjFsSAXMuuVDdprpve4EAZ/lFsFBj+kG7jczJeDht4Uu9gYDGIPu9sbUiXE4Jgz/j5N3639kUobpP5UHtM7zv5EXt2UzeCkSiCOfmED1TFOEb3hT4k03eJXLOfQBF/xjK/hnw55wbNMGCPY0K+DiZc40koo6LFLWfiFLA7vTzyFXpeShbfI573Q/4R4NHwgZeKQucVkS5jQyUZcgSUKZ2y4FqY0wvVJJC9aIBuJRuXq/AUR30x9vmmXqTOWE+V5wS+lJkdHRYOPd29Ap9KaLoQKQz8MlWgvhHpy7MUFwaCBiIaoiAr+IoFRAZ7KxD9Pyda4LmZQLcdZnyPWchs8XHGmprvPNTv9FBIjyBDblRpNNFcJ83G63B0R3000LP+ZguNIVocgtVhZeuIhfbO+/ZeZ2PxUc91f1pePUqztEkIuy5uH7yNAndc/NhXg+DNzkG5YlviahdPi+WJ97zu2xo8Uf4vHpSr1VRkeswZAkZOYdutQu3hLuF2mW0I5zqwFhYx4Q9hGH7qEiI20xE0nCoUIGi+ugsUGfjeUindeiaYLmQUPtsnT3vLvMHiu1d1KFCxlg5A7U6LcLzZPPuMHCt8yIMzRdutMSCcP1F8DFarPg4AElWsMEIifPfj092E5+EjVvj0HWZzEvfttYvPIrTQT3Ppn3UaYLGjpV4A1F6Pja/pV5dCSRlHTp3NpcIrrgl4es2F0uE5U1MrLRNoxdQK4UQj1AnS8/Ci+6kzd9meBvVZRM3b3wa8XAVdjiQ4eYZLmPg8f/r31Bw37dlHNeBcRrX6xUJY0/LeOnLCg4cpAGA4uAj3lrH+bF81pJNWC5hIJ5YwP/9w8fOcJyVKtDa4cpnqcfWdDGLOCJGbn5J4xHg526+GrxLMJHwka0Own3yEfh79whZ4zn1HTiXvBoc/+6rgnyISF4hYTCPg4xFt7J2wZm5wmEhIdCD+xZLjqNstcNTJCQ6JKzfbKAekmCaYcwdnhAh5oY1oYe7Vp638lkRRJAayc7CcAnihnwolIeQKkN1AnSl7njg60ChjJrrYV08At6pPj5po3xKgix56N9yFGZ0F6nd6O87jc68BK0WxZxtz4fpkAw89VULoTMhodjMADya19Rx7iN9tHVP48S5TuF61WruV4HWn7c2IlejmPsZSL13oWYnMEndH797rgNcV3UdyKRE0HnC8uGXzo7jPx04jb8amsLvHR1Gg55jnmGBoaPDp343cLBItnAVFxFFRsYIyj7wCei6RDDml8N1tHZMBz5LU605BoQoTvGktkTwk4S6nZ8PUN+5HrVdm1C9cRsqjRlImk3pW9h/7mZUSwn4vo8y8TtdaXiuJMKd1dthSipcij+pFJFCGePk93VpG/6N9hkckElOIVaJ3pPrYNnLiQSyEwnKqFx7NabffzceW38bDqTWYLzDwphZw/CIJEBsncqZF77+8WwfZt5+LXgBQB+eRPyhl0T8KXmD0FmeFAYifi5ok9LMONleu5vffQvM5ravVKlSUPQlJ0kU4MVo/oI1GhVWQXhRhuVftkRIxmbdi4ZZu6ySmmXIcvplmYmhK8D8RLmRFa3+QYCYCR/1AZedX5VyYp4Itzkpw9NjGK0FZfxM6e3C/bqsBN4Bbye5xgmnZUlE6sYq5QOAQ3WrJlG79lEKVQEAm4rA2HdrNE+KU531kPBUnBm1hV+L5JQwBtQ4LfLYWAi69yoSeNMR832N5vCzQZbZeoGKdvtY9fYwVu/qRszeAOngNfAffxvM/avBm0gWqumnYuhWbkOYZPBzbh63RkbxSP0lMS+ojUsi3lzzqNPaMtWN27pC8xQLKs7ZSWjjs4iQ3KTFukR4EgkhN8LISXnMgOqSqiPTkcdZ6ndKno60bGKVGhG8TOpN+ctHCEaWXZZX0bVdiMULaFAYd8ZHPDyNq9u/CNelsleS6NwcPMPEfh9eL81V4+ROwLswL4i2OOSCv2II05xJiYQW+Cxt9HqCuaM8egYSf21CbF5bF+R0FquvCOYCbZkCOu9cC1+6fHwUfGW3OQX+wtxS0ogy+HCZUGtj6yHTe+myC6irMdRT7wXL01jmWqVKUIIiw8JLVzPQfRsp5DFq4oJr4aLXBR5vWf7Jl4D8T/4J3wQP6Krt8OUQFK8I2aUR5nXMM8evOhMiBdUMACBheY2ILiVFTBYKWO4y1/fCXNcDpVpDhEC65fha7tHnjyH21EHBz25hAsqXAurb5DB7o+rZQl+ONLYOgM5uOAMAABAASURBVHdytNKXoSMR05DusqCFbTRmaewnoLhelzBFAgBHl28+zkBfEGtnp4/duwJh4qWR87vck/YRLLXLvTzlIW7MQA5Z8KhD53e+JMgSRL9iyjs7lEpN8PNigjA0iVqRMVht4BQpexCvCnS3KkBFPgtZAmJ6DyyqO+okFUZ1DqPu91H3ppupAbximziggUH2im7ja8mTqLo2IgS+h0YVaIgiHg2E68nBQDjFEhdPdLl8WYhl72M0KW7w0Qvb98E2ptCqW0YtjtREF7oHt2DN1NvBu9mZf7GyqDrwBPmlwz6eMCewu5bEhkqKJj8yzoY8IZCOmD4en/bw15MO/mrMwYudhxBSPaQaOsqRMP5fAsce2VJDAT40X0GHY+BSO9wVArotV8K05iB7LgL/WBueflbCLeEeUt3gnet8ZMyvzTyLb9eGwBcD7b/Xdh0+Ed8I/kOgzXoaLIixn5uhSQ9VmLUEEsgkdI7SZPS6cBSnoyXYfgP3zKmQJCDekPF/Hdexg18YBVSJnzTUonnWMNEc/GOuLHZkjzcngCbonYLqPWpEAWPOwcGYA09Vwflqge3Ckwjv1CUNjykkmGwZYKM4ZzP91ceQ+buHkHjwOah7DsNrDMCJD0A1HLT5E3AbDvhzTVYNTEHhOiGtggwdRe8ENqgBOHmAFgbEcTLUxG6anYVnyrgm+W1ck/sm2pVhpGhizYmetImBDC9bgc5H95B1xbdM7ynqSfBlAtwTkghnUlsVhkXEnJUgWw7mIkX4ioKwoqF1dW7aJIwnCuMXLTqwh0SV8Hhz9/umZCc7LasiXcGzrJ7tEjxDteDdCAsRrucq4iT0d4hy47grdRlUNZFLGsRx/s4pgWA+TUJxSJkFGnU0SL4NkWAeygBujwvfKkFRu9CQ1oLeOIZ6Z8HAaU4Jn49oCZMOQhhUDZGOU+jcXsK6e31ktgZ5R/OyUYUHC2N2iNpbCOvjUURcqoSlC5+pyf7aaARUm1/7CxGXe+VNwcSBbQy6t3WzCfIIdYjC9OrIqBZBQ7aRoHa2OXQFthhb8dnENqF+JXUlPp+9BZ8gkGBNvQ29oH5P1vHu6CoqA4/6jTp82cOqyQr4iIP23Pl6tDA3yv49wup108SH8i4si0g6rQKSjJlaSgDnaF7XGTLe7b4EX1NxMrEbvbEwPpQ8jrfR7GFrXKW6Y9F6SZgmISHqr0cwVkkBVJtWr7/0O7eNPuIDkuYerEoeRDpeRH22IdwKyQbavCL02kHEeVF/6k8Qn/2C8PunQCQ/eM4f9rPITtB2PDmQtX7Y+flB0w/RAg+tX8PzJfj1+jzwyIBmK24rsh1u83lZVmYAvuW3En2YRN0arc7yDvZpKr5Rw8dxxcf4tIS5U4BO65W8m50BsuXiYyC+tRGAAdfvfFPG3m/IsGkM6ev1weC8u2EHvL71YIDdvueTMD/z72F/9Jfg0KKffe9nIP/Sv8P0238Gg5mbMNnI4HH9vTiavYPAMIDjXy7tlbgzmMd8E3UCSeJpyOX8sv2c0jyXd6oRjFu1CBCPSWAwSO02wADr6We6YM0UYDfoGambae+TOfoVKTN/nrc+c/kgDELIBEJp1J+mSpQYBeHjXEjD6ebGhm3N42Rmz3rQHAmpSAGRXsqrFIIVWof+7QcRUhpom4vB9RQOihuSaQG2q+c0JLQKDMUEm1ugu0nyQ2NEsCLcZqFcM0T9W9epCsfx+oVtXtcA3s3MnhMTwBzJBGyORpnS8Op6YJD9P748iD86fg7Pz5QE8B9RZORpEeDvziyDwlHw1hEgpXAFkIA1tMCAJa7tVA4S+RdiJcrLhePtEuzivbK7TNIW62Y5Jt6v6V4416xvXw03GYVpTxObDzufwDOH1uH0yS1kp2fzp2H1d1LZCiuqEaoflFHZsBA1Cpj0k/gd4zO4T3sXZDWJsBJG3CDZQrFRKgVhlqJOIhhTzLYtqPdcDyH/bwjhRJzyo/nojU/hhus88Bcn777bA5c1g+4P7Eti5h3XgEF3bXJOfDHN4C2nUfXHhNzBZq9nNWuQR08L/bUg/FXLtx6QxdyB6wPPV9RaUNHzcq9Ighej2bBju8cavSuA60/r62+DXjN7LN4oxW5LKYnqPLuvFHBPZ3xmn1ednYGRw5d22GIXceDyyinHwaot7CNhSJhVV+P+6k9htJyDIQM72mSwP7frlcZeLrswTBmq7GCc6nbUofwXN8Epkx5Ryd1D3FQxN2dj8XVLuEc4PdEYFXqL8KajdaoE3qT087NT+O388+CNTi3/hboA3u/xMHCXj9T6ixXz8v+AOBUdD1dTOGzGoUkuVhvDePjQOQG6R6iMW/J7fZYaKQdaQvXyLncqp2k7jBaWsSaUw1PJHhzW0rDMBEpeGA1ZRSSuwdbGcMzOok4TlX7FuiDGRtGnVgioqoxoc+5wAcMCi6ck0btTEi5GqI5dq/8B8qwFP5EWbr27XaHnCVBng/mpX4X97k+y8QJVbHZjyQH5AvdlLRQ/LzyDZPPW2OM3F8L67shi59VHsPnHU5DCkWWjeDUethXUB8dYtaLgESWEicS1mA2lcTR5FxYeJbOiCJpMfrgPmu8hR3PesebctOkltDrNu4ThLfLPqgRW2Fr+WZXJD+VhHaVdpKu+zrvcVYtmHiIlwKgfappeO00m4IyVRyALgy3LxVzbSZOSaATGqVEst2OdB6LUVx4nQeqMiKZ25bp5oD7+cLCjQXg0ySotLkzDl9jhLhiILDxahtPXkQJhaEgP5JFLAKEQ4LgSXhhXsG9/FEeanxGnUh5aVywKIUSdntuOuVoWvm5A0gh4WmKXe3ncRyI8BSVkwvRC0JPB+27F9ap0CsRlRBrc2MUDlTPtw/Z9zEk2+I9IGHRn4Jv5V6oWHicTVbphFoehN4DcUQlyMY9x91FU62cQHVQRO6FCMYHxlInfjR3FE/IEvqwPw/J88ldowURCOtIPSQHMjiOoNXcEYJmLJ7C84yxSAUrhUcgxi6YMUfTbd+LKwx/HFfvfh55Dt8M4cjVix1IwJuSLYiKcEwy2s4A+kZ1GVPVwl51Db0ql1XQb73m/i4982BMCPe8wY2G+TMilHG5QXm3IjoxHowaOOiUahMs4E3IhOTIYcD9dqV2UXstBIaC77vrEbyNO4HBU1sVZjvw5+geia8GLQ7xDnBWb/6DtZjDQHpG0VhQX6flUDutGetH5zFU4/LXbob20Dvu7ZkgIc3BHXUJO9vGRcQ3SlEyLHKoILzckoZsGFSKZyvWg/m4tq5A9DxNOiFyprqMKbq/cbmVqw8ZcA4cIcPc1BXfSOxNMCwgLuJxvPvbm2PZOVK/dQpOxDlEPJSp0ngDJNOkMf/dFVFPvhR+KISvlEWoEkxIFUeSk3ehT3oGcfA3a5d0i9jb1MCLEl6dsvmD2QLYl7CwUUVJ0rM3tRyQxh9WJQ8jNSeAvEQ7QhJkDjrlMgXXaxXUg8CFKAhDRC26V3lM/TWRoDQOVTBC2dq4Z2QWcAC8+SaaFYrgOP6xjISAdDkfQF8+KEMfKk0JfSJwzo5jSXYRDEfTr1MEs9FxkjnUFDh31DHzqlI6AJq1zF85Y+5V3oUu+VTA6o1XQ+gmkBE0SQppwa5GIrApjJRJGjIR2CR7Kw5JwE6QwBrt+GlA1FEphWJKLYqqKNiWoF4JnGWJIKRHOjCto656CnvIv4qzRxBdUz07V05BkBbd25AQPnx0sDK8DUY4S0Ex9k59Iwbnm9gtSaAn50kxzxnCB78ot+XpBMCeViNDrix+dJhjGptvQbafxU9Uc/iR3G6402sDHJDR8G5vNURSsDhG268wjQl9M1Jf3CCf32juEvhRJtdF7kiSMVtqhVc6P7ao5TO3LxIzcji/pd+FbEo1Rsod1oRegtEfhRiLQ9bSIsl4oo2TFoIVVRGNBfREeSxA7tEm4pmmSeU3PA7g2+cfY0Ps17L7mC/hk7h9xV+U7iJUehGaeFBsINHsUijMlwryZSXz2S0hP/iHSU3+I5DQvJHwJ0eKDCFefBpboV17PZ5Wb5elor40M8XrmdSVx56ivKWaqgrVSCCGdgriq1DcLQ5O0jpCpR66GL1G9b7qvRDs9KAs2licYvOOxPtILFDMeqIvFrhwEYC6YLkEYWGPQr4OLfkSCc1ZCVvJx4w2+COV39MF+/0+DAXaP/xjSCAv3eUL23utX4+zad+PB/l/FYOpGASC+7TZvnuXVGhjME/miCMZjW4kC8pkjQr+AEOjR6luKah8YXLd1FS2ALrbWg636KBNofuZhGutIhrTCigBCL4jnEpbq2HnP2gQEGHXeZWmTFwneUQKkU3HOmTZ4R/ih5n8UXduWFAEHX3IJYPKxeutB1GM3CjcGkpBbgzUbD2E7vWvLD5PsJmHk+xAAe0KvYPet38UNb3sQIRJSVQLgGXQfPWPDJzEuGq5gzA3i58WTzpiGCIHkvLOe84AF19o1wbsaofefLwQerd3EjxPwyyA7g+tpTcP7+9rxW9vX4F9vWQW2HypU8N2xmSDQItpLizbs1AhZoC4dvKOf7YvV+kQw5lQiNchZEsYXMyxjn/PbYagWVM+FXY0gb50Fy3wL2WfmHKiRWcgS4FUT4IyUix1k96GoJUyEEuCNJBU1ipKRQgMy8VeRTcyi5rdhUziJX00q+I8pGSEa73RKT5ZcWA0se9V6b0B5w/tQWXPnPA8vfN307m5wua7KTGH9KlPUv1gUuPMdnmgzLNN/+5koitvWiXDR54/AqFC6aCcpx0LVGxXufuss6tfgSBn+n4ev00Ib/69Dlbosni/ceIMH2SxBchvwlRAqjZBIV9OFhnVrgat3+vMLao5PAT0gXNRozqjBiy3qI4JgF1HJCZw8xQ8Ml6HcH6TTARPnk8susL021IkG+eiid0IrLDg5FiR2wzoJBuXRiQT+K01tLm+TzACoNF9tyA5W56OYauwGLBOZHVWqf0CEGsbsCBXeokh5cxI7HTHzrF2gPhGTYVAdHHeBF60QeKPTcqA7B2TgvfsWH4sVg/Ds/8yTFfAmqZNmJ/qVbWDQPZR6AX6ohuw2H6EMoNC7dyqUdVIcZrHq7JQBHxhxMtCmpiDRnImf4R/b1+J/Zq9AwtRh+io8RUOiY0bU58N2hnQZOzUpiK5Ji1Oe6MMlSYcWazpeQuu+LoqB/uO48t1FGLIWcNK4xAatrQPxnIVGwUfrjHZ2X6yKZ+vCKbPqwrwIx2WIzzvmF/j58bSwSTQ3ydyzE3rOEPbXkjgmDT4UoaK1E13Z7Sffhb2pn8RSR8msLAYgFOpG2LPQIU9jlBbkF4dzqe1U11KFXOzxlv2fdAnI/6Sf7k30cK2dY5p97oJc826x5OxfI1R5CpLfuMDv1Vg063z8mj0M2S2+mmguGUZHCny5PkmybFhCsZDB57mzF+9Y5wGHzaxr43MIHRlC6h/2EEhbA+9gyH/oNojPHncGQL1KABQfYcFhWioiBYNH1Wvrp7cGAAAQAElEQVRKJi2PJXROv9Y8WsY4OQZDTkHWfciJPBKyTwKSB6kpMFg08WPhiqNZ/AdFLBiy+7ODN8MNURzhOSy1y7086SObHCL5VULRakM88doMLupsiZOHu8Qf71g0aLLnM+1zeDI6BwbdnRNYEphmvqVUxT1/nEzDm4LSsBAqa+g91YmugyFkT6eQfFmHQqBfXa7g6fZn8Y3c17C5+1lc13kYc737cJ86KaKOH9aQtNbQij0JmOEqZsamhTuTljDJ5oVq+yYfUXqd+roTsGjg6hrZjI4XcrAJrB+clPCP7jQejI5hpGgD+1SqL9LC4HhhryTOgx9Lz2A6M4f3lTuwSg/DXeXCTnmCV9cghGLeYcbH2nzogyZ6+svQTR9yXcFLhiz4JNnHeMiB50rY4NAzkCt/NkzaRbdCeTWJr6Z4MBoydBIUmenlgxLCjTD+VXoHtmgZfDaxFX+Yuxk5JYiPeViR/IVJej4W8PkoHF40+LuhDRib3IDQbJomN8Cpsw5iiGIwWkLVquFtiow/6TYxakhonJDFFw0K5cMjMa0RKSFP+eEzutstBdurKiTbQdnROTnwEVC2XxBmFRE0iiUwQBwhQWxx3gQTkS1GmijwndoQGlsGUL79KhQ+dCvmPn4Hym+/GohFIBaE5qKw09uhkRDdf3ISXfWrMKDcg7i8mqZruogjIvUgJQUgQa82Ck+y0fAVxGwP62iS2hM6ipBRhV0D2iNnkaxLsB2fBFaAPxWtESiQkSVkg1eFxZdam0L65f8HkbEnL/BSq0GAPheQdAmTCRnmJFlw8WXOArZloRQrIxMKFvcWcvUmcsI6efw4JH6BwhaQ4zPnhKE30yH0S5FIly8E9o5SAmE3hjNhB9b03KIg0ry90Jxj6Nl5p3nDgBrk82wqhrg+QfkyUZ89H1YeOQPbPAhbiaBGZVtXXPD57QNaEG4+oiUMIeRoziCjllUAa+mxyfLzqFFZFOwYvT8D6xJRwAgHsZWaGQ9srxmVTx8Wcbnv+ND5tIQL4L0Wu90IsBqOqqCHx/VUDyKSBP7D3sWg+0y2W6TadvqA0JkcPnGc56ZYjTKmrF5oNFa1je2FPDLI3vNK2CkdLqvFn/POM5GB+65kNijPiemgLZEzwpU91Of4FHw9+I+TDxs3oCAlkXXPYW39afAV04Nxevpc0O7bOyPsfEnlqm0opT+IE7O7MFLaAMWIQJI8xOPT0GMUj5KCGd6OSuJuWMZ6EZdmDQv9zUqixQeg2cEzSF4DilsUdqN+EOHyk8L8Rj2bRDIgp8/peUoAELL5R0G92jyw3Gbqjgju1U0YJIexhbpa1uZVlSbC1cSdaESvn3dbiYG6H+SpajLvls0+GADjsf49d3t4z8c8dA34sGZw2Q0AHJ4VA1cM+nVSs6MhByxGcjtkv5UoDr9juydYGQjjuF5JeBFwGZLNBB5DWjCWSov6FfZVn38YoL7F7+7BRHUjO8FLy+B8sWXDWgUNApzZPHI8iDDRqWCleeRj1/grKgad1BjEZS4Yc4TDUoQW+Nm5sxZiDbzDnRcoGfRm8DlE8s3EmA1jVoVMfU7H6lE4Rr/gZWKFtqNvwzGkTRc3vJTElQdT4giZhF7Bjl1PIbtugtQsrl8Auh/9hk/duI/2rhEMFzZwNOinhRg2pJsPzHlge0u1dgrzMSeTgWiLVFOWfGIyL9h+el0P/t2ONbi1Iw0+FobVp9f3CL/vjM2CjzUUlgWkFS//Pww7Z5rps3mh4nJYl4hAloH/euTssgB+K0w05guj3zCQjs3QPNJH/Ww/HNNHwQvGSsFApDhuQW+bhaFYGJ9aRy6g/t1AvRqFGq5jYs7Gtzrehoc6rket4MLTbagk1+lyAzNaLz4RldGrQFySFIKuNgASN8wGESx9+QT6Wak1F3nGSQRxk0GZtY5LYyaup9xmuO0w6P6PZ/tQbr60xIPPIy4NMBvK/pDQ/bZgHOYvPrjeC8dXSOao/9jzjAT+nweeC3LavHDH8wXOj1qbFjE6kTZU+WtcsjEPaeLeusVHq202/ALkagOxfBhOmh5ScFyeyG5QhoTDXp65yZFJ+8LER6EKw2tIWrvXN3Wcj5QX/Jp/BwA3HqR93vfSJoeqiuIosDQTpUgN685dDS8URS58CFHzJcghCVFNQrimYmzCuiCyAZJz2+QweAPTwmNlmClL7SSMQL6q+d0YcsP4jdlncdQM2irzrES1XeWD+7PCkI++oTaxEelK/Vok7TQU2YRz1ZNg2Z3jMoJuE+Yy/d6aVR4gKzjjdUK2qlBny2DAncM6NBTGKypKXgQkwCGaKmDYTdE8R4MKG2s1g9mE4i90bHoMWfKR7HbBfa7wuASRQlGs+9QViG2hdlKiik28XlsX0eBevWtWGCZfdoS+FJkb1oRzekAR+kqIt3rLPJsXpwJqzQPmXV97g2NNiEgTejBXFZbLkDW6gtuTA+B6cxnWZb0rag4aHCT9WYyZS7eDBr2vZSN4y+OfZAlQV/RP8rnedA/latT5Ua5lqynBkZlBdt4tptgTiFT2IDX9p2A3iSZd5P2qbt08KcLZWiCotuzC8TUiDF5zVDV/irVlFR/twmC6Uq0h8e3nkfrK48FxFN95DtHnjkCimZJJgmvx/TfM7wLwYmFUb94u4ozsPwWNwHlhIdLalbnUDvezTgk/OfkQnm+cL19On8+U1yZnYVSCpiB1BoITYVzwIj42Zz1c1WehrdPF5k3AYhmYP8FlwYp3uU+XM/B1A5JWwuKz3CsTHgnlw/AlWtWubAALaZTlH/iWm2fge3EanBfEJtFYac0FHf27t7YjukGeB91rRz0oTaFwQZCLjFYFuOA4GXMc8D3EGlnUbroZvZN3Ys2x3dAJgB81juN7a+7DVPJFrHdm0VeuY6Bq4gp5HA9Fz2GvV4ZiAvEjKmLhdhL6gXJjGKG9GjLP6PMq9byOxAFN7JZn3sa3VXR2zSDePY24SWX78jpMTEl4rODgz1PDeCA7ge8lZvC95CTGbRPmYyQIFMWjgAXko8MuDg6cwmT7NHbXUrhKTkAOA7V+KqCA7SKqGoEwpzZ8jLkeJsKG4CFcDScjFkzy7pZDwm20Rg8lTOcJl71Tl1BWPRRdH1FXhq4DvKuOQQQGz7v8BH4jswu8U7wVUnym+qCML3+V1FdkfPchSQj4fL4sf8LuKTKVZwGFDYcxl5uE59tInOzB3tQUqjS4f2BOxXV9Pu7LWBh2JOiDKi2uKIKvEa1g0FYgmTZW1xSs8oL8TzZRQgsFEuVq4MuQUjhCgCCb+yIp1pZUH4iuFe4vNqZpAcAWZibcpqyBdgI3SagiB+PUCBrJ2+BqUSTkMlLnjpPrxXdG3oqkvAG79FF6miAvt0zMwbaBRPsoQDIqh2oPjaCN6q9PZcxA5+P0nth9Pb161pdSbmEfDhEoOO6cBz+ZT24wBRg0VWhBxdIAd84FgwaBz3nKm/Mdx0Y5XkE2mjjv0TRtSnTAVxQc9sqiH0vSgmHsyQPghcHj1WlAkrEp0oaVXCy4KxLQVcoJ9nP5KaEvRSr8xwPkkU0ZRC++oxI9FM3OS3Fqg36dns8Ct23mlGbG4LozKJtlOFRXx1Ml8PntA+rFz8f8C5UupyFpKswk1avpsYVe8+aaP408ZEzWUriNQH/2aAn38usAuDNQzWcTS6Ew/Fww0eY0W2re7QfY7TYnqVQ/PeiyhIisolsJYh9xAr1FR9QwoGoYGB+EfHQvlP17cKhBlVnxkaxyIBnpsAtDMiEfe7EVTOjKcw8J3dlxo9AvRdJtIeFdyNchuSZ4RzkDxL4cwvrULvxMXMavZNLYnr4Ra6lSvR0n0U15j8oGZLOEuRrVDx/IdVN+RUyXJo6xFi+O3YGnRz5Afe778NijP49HD/w4fjd8A6ZyP4Nq8m7wESD8B4Mck147xNqbUrG8ZdQPgcuykPtZ5Ds+B9bL6Y+htaCgODNv2LPJbkmk5SpJof9TIXKYKiA9THlaQSxGHR+ZK1UiF9wyzMiVgMRtByu++DgZHncZDNK1C4MZ1M2lg2EMhZMX+l3OFtN88I53txTk/XL8C/0Z9L/xeh8MHL5WsiDHz7uzWZ+J0EMZYYgviUqEyLAjKe5XlP1PkQmorr4VphmGrQKp9vNlyjKt1KNi4VMZfASCCHV50pgJ3p9Bw39yVcBfXvhVVeB0EZUMHxIFDRGw6JMvn+H+wmyRTMC25tgxcdKD4kno6R2E1BMAwoKBiG30IdItoz09jp5pA53jGQEcb7tqD7q3HUY19naUsx89D7rLDRimDEoS0S4b47NJIae1juZJG0Fl4XxQ9PN3LApwXWIHBt1Zz2QB3nxRI3kxQnJaK7/s11LdEQPv720X1m+OTGFskezI8d52i4+G0RA86wlUF4YlCIP3t7SnhQ8D+P/18NmL4hOeRDhe0jBndkDSXciyB+tsN2pTYUxUB2GT9Mj+rAreCGtIqA3MljvglAqoljw4dYPqg4/Dp+dQUw1oCQ0WVSsnZFH5eUhqZWS0iAjbIoYaoTBAWKvA8yhNu+Wzct2NBuWlF05fEIifidsOz70YdH9c3QI3GqF5TQ3tBBQqiKKBKZS9MyKc17NG6HyGtDCskLBMzvL6/Q/IOD0ogdPjr2Tufb8nFu5a0fA4ymbOr2n5bEQsGujC0iRUCnCpvLWKA72hwGwuwjS9L6nxvIIZVvqnqcy7bq2EZALYupltr61yDV9E2J3iNALzju0+VJLN2cOJeqytWBWnTcHrqHV0zHaht9INJR5CR5jAduqzpJgCWfKQJlB+tnhx3LtDQV150ZwS8bQIA+uDtOifxiTWaSkoyloUPA2/U3gBT9RpXtFivIyux4Cx9TPii+Jtx/pwV7QfMnQYJ26DUwvDbJtGQdsvYmH5nQ21Zf6/or2DfBUFY34Gx8wclHwZEZLTrwt1IlGPI8Y73MnuKRoSHSMYchKwCDwISwVs1qljpeB814pU3rYEVXYQ7lHY6RUpuTwX8BuhQCcaXz9AFJg45sMqBO9VODRJbbwKXhzhDYmhVNNxBZrYOEJjErP6vatZez0VpEYRJuqiD3JCAd71uia4IPK40U79ooJ2KU/9bmmBz1vGf84lIP9zfvgfpWd39JzIjupOQXaLSE79CRhkZ0czuhu21g/Jawi3xPRf0WB9MphYm+eEOVTbi3DlKajmWQ6ypOJ4OQ6ePJrRXYLn9ZgMhxE8i40CLneV7r5GsKhzJSEsMVhnd2TR2LoalZu2o3LzFWA3wdQkdlcGtSsDYTv65EG0QOecEhYcfD52zbeFuUW+UDoBhxC779XOtZyEbvW3Cz02bApd1i2h8yYrlaT/GgGXyYiHK6+3sPvqiwd5Zt7R3K307DK73E98x0FjuoFYbIZyIGPW7EHr810O/4MopQm4O2mSBhZEpBRl1BwX02EL7Qkdd3a3oQW6z9UcWM/7kBvSfIiplyQMfkPGib8P1JH/I+PkV11I0QIUiIfwNAAAEABJREFUFegcXYvoGR1tM1uQLlwN/3QE5xIpjNo+ZsaOYyKyB10jJXQfVJF8Oof2765CdDyGuOuiOzSLvzDOYVKyhDC2Zv8OhGQZftcZTJypQXIA3rXBukKvQStKMCZl6LMyqqS7mw4hRMKrPboRx2oKvuLW8c3uQZxLFhDVZdzVm8WLZH4mOouCX8fsEzKeekjG07MFjPacwxpJx4/R5OFfoBsZXUV1gyPSm3/4RQbbLwgXb9bHBOX/VFsKvxiPg6oDTsUog+Tb3YgQBXiSJQwLiGxKAiQuaR6iZRVRSQkE9SvIHqWJbhU4cECeD1EhOy8O8GeqeZrEMDjAAD1/Dtrf6wug/m00Efv4XVW8J3ECqcQUZrYcQ8N3kMlncDZbwaRaQ7lk4RNUkGbWR1X1gYIMtSRB8l24qo0JR6Gy9tDhyOhLtYOvkXoNMnSqlxb4CwZ2C1dDOKzX4ZNAuEpPstOSitvbZi0Dbm97G1MX8Rxfn8aM7kEdz4Mnw43MzVA0B+rEM4ge+RYYHFwcKCtdiQElgqQclPPOEr0L10E0PgvPl+F6VJZGCSl5Bsk5SQR/rrmDoFcJ7MJxEalS3+hTkRy3RvBYdWzeV2kutHXFfepnFMwkicn3UFtCDncIiDdlH9WEg9yiySVHOKAl4CSjmIwG+eA+zTg1Cl4Y5KOIvKiBzUYbs15WRZobTnoqzfdUnF42TKX5B8RSYmmWfjUuPKZjYUTUcfiei1qzCKSRM1SmBsZCKaoDPs51BgJ4TgmJMJciBlKQ1CjsiATfN7H4slGlSUINRfJquCHcGjcClpZwX6bKHri8ZlQ+c0TEpe6+GWgK98KhSfy2buEuc9oLgKim94q0WZOeTG5AkiW0yVSmweumiRjVnQUx8LFIfiKDTKMC5bmHMf7iHszRjD1CAHtjkuqBJKF7a4/Ij3KUAPdWfsw6eNGAo3KX+bNU9mupVIbLVcZoOUf96zRCBBCzHwPevnT+PVqR7fAj25CgridJ9dhVEtBK5zBapgkc9VFpEQ+HvLSidXC0+ii56sBxDEwgjjylFZVpsGgGt0LrhUl1JoVMIyxvIhKqvijkLc5yOflj8JQkuDxZ5/7M0YK2CZLLmOeNUIo9KZLx1GbawvbmJ1ouaDt21YKqBWbTem2eq3WcTD8tRi8VY3qrJ5wLJyVYFWG8LOEd3C0ml8b7lnl5/WKftWt8MHB4sc+rd2nJlZM0HDd6t4iIWmdXq0/eD/V5WsijftH66Ocw06C+kDjMsIQsdQFknL97V8uoxED9uk/1XsJCQH6eaRlD5VzQIYapi4t0Bu9yJee4u2EViuKgzZZprFfA56cvPE6Gd3NOvsTxeehZNQg7tOGiHDQiV2PNlftIpnEE2H717kfRd8Uh1OJ3gPs/brvzoPvbv42oWoOuWKiEGiKudArQNWFELwHkbBpbdI47u61dE9QZNus6kKFwB/NB5bmlI83OS6pbO9N4V3dW+P35yVHwsTnC0iSxdotkNY/kVA0hhTrqpvtijf1+jOYuP7+xD2lNw2jdxH85chbLHVfDeZQbBkKhOiSZ8m7JcE+uQpXEqxn70Hz0lRrLGT6kahiNRggMJOtuBeZcEhJxpXPTEDLpZhcayZF+1yQUyad4qzC1TuI4f88pVA70CGG9Bs+BGDPO+67MZMd7BaNSpQotTOcJtx0G3dnl5IiGyau2sVHIW23VANCb84+ARuv5xXdp0cYAn6Qed4kNbAy0t46O4bZEwzbWUnvl9FpfNYvEmkStBflzwm2Yy3NJAfHmwmGTRWimVwQliRBpPK+1BjqE+0oIz4+Yj0R81lakOto9vO89HlIpf0X8r4TJjQVxKhUJN9/k4x23e2IBUqV5B8fjNP3ZvBLl1wLZYSpaROdMN2JQkL01ASkZgZDX3HEoJLekXe2iHe4c/9VGMCa+0AjeBbux+nr1NGv4iVgEd4YVdJPcoyhb4PgG/rR0GF8oH0dtEV4gAiwifAzNF3tfRi1iYaOVReOIDpfGqNjhDkw/fw3GtDqm3WOY8w4jHDRxLNfvhUhk46/lXVnFY+ZWYGhMpPbZyBV479Hr4btB2WoRDbFUFUN2EnVPQkaqIaeEBS+T4ozLGkK6CTmWEOYVk5a8SeMBWDUDhmgBJbVKFu19doj6iqZ7S5s7G9Tvzg1ay2nFutfWJXh9lsOF6fUjfn0cNJRQfxdGmxZ6/RJaJmbJ6KQa7CPuz2DUXIbpLed/ViUg/7N62h/hh+WJnKN2QKLJW3L2r6B4RbhyErybqhoPdmaU0h8F87BfrHAfkjN/iXj+i2BzpPQwAe57EC1+Z9mnbO1mt4z1sGgyzPFfbjLMIP2yES7joUhR4WPzWXXCtDzhHeuld10jjqAovO9G8HEUJQLhq9dsotX/3mUD8vEyTiYhQPrIgj9e5U/LONC022BNKF7h5rOm2bJ497vVHwiJsZNV9oaUyQvdY6BSAWwab5KughoBr8JjCbJuLcACGe9yX+os98qkj3R4FCoN1Lavo+Z1gIXFJaJ6xU7qRJBfJ3vhYNuYoYxTbH4GCBNwSkYw6J7dpOFguAwG3Z29gEygO4PtU6UjqK55DOYmUmv2wNvyAvxtT8GXLUQqORSPO0iNkHA/uQljjTYctqq4PzSDX1s9je+0K4g/lkX1aBpHGuvx8LrdePCdNyCV3ECDtoRtxhiKioPf0wdRIfA31IghrdBsTAIm4+OY3G5jjhY0WOV32yhcZaO8xcFk2sVMqASvexJyVoXeuxoTqxo42DuERthEhmZGfDYmP9e/27EWZ3rqeDlM/JKFdQQEvUtR8XPFHvxMrRfvVdoRkxQ0ejzYzc9/uUyWUjZqYHmnWqLuUZJwRzKBqygt5j2XrIAX/WVPJuDawGC5dtGkSaEytR3gFC12GA0ZEVlCJu2Do2CBXdeBI8fIn+RAPtP9/gdlsXuG3Xn3zEc+7OEjH/Lwnrs93HarD/78vY/AArkzzlnAurwCL+ygmJlCiRZcdkytw+loCUXPQtsJFf911ECCSr5A9bcg+WjoZeoX0ijVyYHA5H45Bj2XRcyVUatXBRAPuurgyRZgzDkQALGqoPWZI3kved8S7hLu36kFRy6whXeNfG76SfyKdwS/v7oh2ih/iWJ33EqgfhpasgBMPYPY838GPU+FwIEWqJyyGx+IjOBW4yw2VqvQ45NAqoJqI4NiuRey5CIVmkJmmt4PhePjZEjDOo0qFBsWKakyjCLKwjWDBv52apAE47qo+4opnJGKBHolGcRRP+cEDk0qgJiSiWK4DjsMAbQ2vea1AQK2I5EoTqyK4/hHbwL3Z9VrtyC/pgOnUgqcaAQDOqEY8yGWN0S7fOHZV2yDr6k4RMI8l6FwXEAkQj9LPMEj9lySKtYCv5YxKqvCWM5SG9DGIFkmxM6bUh61uRBOlD6I2UIKTsrDYM+M4G2B9MJyCaKrWeFrmhNCX0h4AafgOATsJLBekxGmsmF/rylsS5Q+218zRUC1wsA1Raj0ryW69O21BXVWfpXnuOdtGw48hGnRMKeE6NmCOnNqQZVpHXMUCoURcU0xYTyZ6IREYOI2dwzT9XYB3q65qg3umgAYE2AYZVnZH5zd7nWvocZIlY3cLnW3d9D7lWRUHA1q5Rz0+kHBburBorSwNAmfeczjPlsZfPIKk5ipp6GFVLR3aux8WVWpBiw85lWKIWGZzVaEHpEujMM2mqC7eb5/EIw/4kSqDyFSfkjkskZgnWP0C/NCwuXHdsUtsfaGKNkPOixPTb0h6b1RiUi0oM5pWSUPsaaZun52+oEUdY/zx8msXUud5BKxcZfcOp935qWgLS/BdoFTI+gmhZs5J7QfCcIyRmv39Zga9IHK0ZegPvRVKPufEv2J9YHPwKc+cPqUKvJshzWkqO8XlibZtMlDKRWMr/UI0NnV9FiB1gKZYiSznN/pefmAnipBVn2kTBk+VJK5PaFax8nkpx0oZQWxcAVtmxsETAcAGxZcFi0qpkgO3DJwEFfvfDwA22M3ohG9ep6L220p9ylkNlRxy3u+glvv/AaGCgPCf+0CIL07HBJuI7WgzQlLk7SOf2Er94MN18Pe5m787ak4Oy+r7uxuw7ZUDDyO/DcCyZ+fIfS1yX2qUhOmdYnz/b4+K0OfkYX7YsJl82+3rcLC3e4L42vxaxpQclOQNRc+yYRtOZqPnOsAZmMYK56BTYvj5aqHUGIKJPKiUchCshvQJBucst2IiaiiiWncdqsPg9y17AwatkHuPtLROUQVNpO1eSdlDgkkQ0WAml6VgNmm14o1O9EreLXyiNAXkxhNNXkBgN3PSdn5jVg935mGjhRcVFHyT+L8DvdBtC5+5mH32xjy7hfPz+48tn190RntfHQMy+38RQqnx3yLlSIWKgAn2g5ejGb/6BKAsyUVINPiSKiswUnH4XODZeamkkdOY7ld+JIjCS5fEdoPnbgheqmUC8kBMmmgqxNgc0um9po74LHo8v0g3CJnlKY84VSLlNGVz0KWFYQoXr+X5CDykSpjYFHWcEnWmXDJ5cKb5yptchh8rMyQUxaerbl/lOQS3pH+gYgE/hPVNiUJWdkOh0D3b9eG8DNTj4LPdud5TCusiKBJnjU9/Gq+gDG/Haeu8DGWVjB4QkL5LKA6Cqy4gv1eApNODQX/MPyOoL6ac80IltB2XeVBIbl40kvhpXNBnyHqjueRdEkBZBmprI4qjfmDThz89tfRXIB85m9rloy+Dz1sI9JN5ldwS1ZdcHtxKmRhOk+6d8jCMvayJ/SFpDDkCGvs4u5XuF+KuNfcAa9rNbx12y7F9pr4uZUzIp6K2vzMStjeOOLqbdA8Gwl/lvr6Ny7dFaX0z5zJITzP8/w3vBSCVvWGJ/tWgkuVgKu1C2eJQHczvB28E4OFQ+FIhCd9pbZPgSeAvhyCS4OGrfWDJ7VmdDd4Iq0QUK83ThL3xbdiTwnHVjocHzuEay+ydpGK5e9DavpPoNcOXuR3KQcDwWTQQgErueyuLKyBdriZxErY53n4zGiXQCzeRWqcDAa4CA2szDDjBoMJm1+0gudmM+/GXXjGG6fLQo+Rr0NpAFLEBmJFqCRj+yQlFi0ZIU+5CFTFouuiXe4EgCbtI+hbH4y4EaMIJWSCAXdHyS0K/eqtMs8oKTgvXISODEE/O0E2wJkIOpN054XSGe+wocV9TNID5ksOCt9SMF04Cm/NYWgDkwhvmkRk2wgSG8/AGKByi7s4YkZwIH0Sk5nDGJPP4vvJIp7tLyC7WcOnNnbg8V0ufueeBH7rXVfi/huuxciaXry3L4lUx2ZE6ypyWhWhcAPTkoXfbzuLuRstGJ19VNY+zNWHUZkK8so7NzwS4tyoDyvrYbbqw+s/A5XsUakb05EaHjMGYeoWesIGfmFTHzIGzSToiUOKLOzqVqAYokmC4qLPD6MjriPToaGx1kVpu0OLCg5xn7+5LvDOhfMuVHYkpE+YZXgNFeVIGPeSYDzQm30AABAASURBVLxGU6FLCi1UqRgOVeHZEnK+LiaE/+ngIP7TgUF8Y3hK7Hg3Kx5sqkYThoMwTRB1EpVYIOU0WGDfsT14Xt7R/sKLkhDQ167xwX/GxrtnFsngHEworqcOtRE+f121dJR6xmFLVejnMvh++whNLCy4DQ+a7kPLefhcfx0vkNmyVXSc3IrZqRgBhRGc1brxe0oU2ZoMjyaKBdcQ8XuwhB6phnAm7BI4qICFWOG4gDRPoREufCQOC7kspP5p6RA+R0D7n5YOg4VeZthPstwkgYz6uSl41F+5638MdRKA5FidBN4TMF7+MhJHvwrZPA9aaYjiBv16fDiyCQbVHy1K9RDA2OxuVKptIPkSbaFRpOoSTJM86I7QLLFXIcMSd7W2n/pGD1EKmHUdzJYKuH/wDFL7grrDj5+Rg4C1ZCBgms06GbgCfBajRG1tJk71gupeTgkm4y3/lt4Cqj9XfAb/ASfwd/0OHtzdhmJHDAOhBFr9U4t/OT2UAdQY0FaLItZI4UzEhXEq6OMWhlFnyyiA3p8sIdWmYKkrp4SF83Q0hLA6CzTqqIxLmHjaw+niPTDVdpFW6t4apnJF8OSkFUYEvATRlazwrcdsoS8kDUyj4niYq8dxK2Wx5efngpmBPDPWcnpNdAaWQKA7A9XywMVgcysRb/7z8vOT75bfSvQ520VVMQmIkDCgJdCj8FQIOOcE7ZrjGG2aM4YOd3MA9hzIEXhArMnpEEw3jFxXRCzCOTQJ4TBisYAWIVp/aHipP0tl/pZKZzX4kozpWgbq3B5IJD+wXNAa31t8rHMbrKbeDTOyE3ZoE6bG6uyMVEYX+krIHFUh5uNFxOp4EL6UqS+5CGUaAeBu1M/vouSwP8pKJnlBm/66yGItdiFYJxybxJdTwiQ7RaG/EaQlw9nqaydDvBH5vlwafsIRLFVawGntDK28CoBORLKAXOo4mQVsaLsqaLsr3eVu5uX54LzLkdW8ww/Z0NERPMu4FgBV8ugguG/xCFhpge2S30BpHGDOelRCJujG53MeiwLpTgOjA0C+Qwbb5z0vYeByaIFMoTYfCnUrPJZxkEv9ST77s+znk4wV02RE6ufLd1sqxt6YOSpBohy35cbhJ1YJt6WInM5iy52Pou+qAzDD29CI3XQRmy+FUM5+BNqqtdD7whhpAu6867TFHFaDPOTNi8c2Lg/+ApF5uzqAk6WakAUZAO9u7oxnv+XUx1d3gXn5CJovkcz+R8fPYY7SGa0GAk0L7Ofw0RMq4kdVyA2JrRepEMm+vNu9dVzNwULlIh7Or14zAJ2ehaIJdc2gNzEB+3Q/rBIw0TiMYn0SsmKTnOvQnKCHAPcaeiNjINEK3mxC6IpWhuvZYKBPbZ+BR3MjhYELkjNtkiMWJmwrCZK7FIAAfmLEq7l8AvGdSNDXaaWL5R+Os7eXazHAX7LwRiw3GhGbPNbuzYCRy6J3AjbNAzxPgjRNlZ4CebAw6e6BX52DMldGZeJpzD45hme/OA2/2EA67ICB9nubR8dw+VGwZW/FLAs/z0igtVC4VBj+TxulbiJc0WGtIoRahGoSsw7tm38O7b4/BUgOaLrOawxms8WlORLrP2zVAtTVqjSfFbn5tQ/L1Dyfm/doGh6oDuF9Zx7ElBvIDU1noTUKrtBNzUI7zUHkqIZoN80BNwXyk18Zh6oDYVWCNSehXAn4seDaYtCEg+w8ryMNrd3td0b60ZK9PxOXkSZ5uU1JIqZegc0a1RNi5k15f1s+hl+ffQafmXpUzGV+dnof3jc5hd8q5HHaUVD3O1Doz+Fb21380ToHv0Zz1D09HrZtSuGkncRTjSgs30NJOwzu97g/bAQQAKVw4d1Jrz/TJqOCEF6ezaJacJCn55Iti6qtDJ7vJdIVHLDaYfsSNL+MNWrkgkjqxcAq62HwwnFgWxlttQUkAjlmYajEapnma0DhrEeLbz5ktwjz+Es4+dVBTJ+kl0DM7ZsUoq/s9mjxxP7gZ+HHkq8s4KvgbjgzIlS0WSeE5Q0ktdBaerMuOqQJjFG3+wYm/aZM6u0f+hVsve1TeGbv4fn8P/7My2D3lgObmael3vuTvw7mYf+hkUkRvuXX0nff9bPsPa/qDQsf+KnfwoMPPzvv9kYZ5DcqobfSuXwJmDQB9iUNPMmrJu+mDm/pTol3a+TbP4di7mdRzn4U5fQHUI2/HfXYjSIRzVwacF+4w50ZrVBwFrpaP8HWCxSD9i3+cGWP6HAvYLiMRUfQiTf8abxeF4PM9Z3BLh7j5JhIZpUWF/q02xA6fyr2RD3w22W0CzcGB4WhSeaPlZmWIFGL8MIVGCTD6WRugYtevcm8jMaDZzQKnJjehpKZgWcYkLQS1qWfhBoCsskh0JiJotWGWNJYJpZX5ixX6mAQ0I1FSHcQfe4I4o/uE7sMqlUPpuwh3aZdFCmD7uc21TE2AZz1BuENkHCQ8tGe2IJ+7zasO3kr9FNXo3xuGw7U1qO3ZxNC/adQzB1HqkfCB25rxye2dKKdXvFfNA4KcHU80odOZRVSsoLPxCVkqexcAocTThohAnX7snlYNIE5QdLonw+O4v7hEKYgwTYqOHFiAs/PFsFnWvJOoVaGC4M2nL4TmJUsfP6ojC/RxIQnKLyb5xc29SNjLP1syZstFDYdhHHdHLxbSPi5wkajx4Wd8sDv/ju1YfBuBhaqfif/An555kkhXP1p6RDY76w9hTqBanJdRU9HWjwL52mdqkCSSLCPWOAd7B+gJf5r2hKIKDL4D76emMrjj2ji9O3BWcyoVUTrc+ibtTFZtfGlsRG0jp/ZvMkHA+wcZzQKIdhfavcM87UU1/nVdQWqq8Pvm0QoWoU9o6BDTuALfSexd/U0CjttZK+20UUTtP/c2cCL3UdxMjEjjvSJI4a3lbZg9XSGhFoNJj3n92suJj2gRhXUJVUoW6goHjJGDC0h9SQJDF+gOvXvCh7+bd4Fm1t5uiXcLYzczhhoZwGW/wz29lgP/KiB55IWtLOTgsdM7IK99WfQyO5Gw49BSYxDyu9D7PCXIZslwcNEgopwNQy5XoHcOSEE0LqxFQ01ABF6IyeRaABaVQJf3QrTi5XkmmgUXxAeHXYYq+0MdhBY+og5gUeUUdhJH7W1DjJN0LSapoYPoD7siCOWqmNB/HbJh0QvvRI14VE9iMqaiHMxuTe29gIB/r7qabAQz3xb9AxrK1axLh8hak8pyvOU7mJudvbisLM1em8yLMNFLCFf7E8ubUqYKDBNqz4xfRwK6nAqQOGQcEZut4wNP+5hPByUf2vRIPC9NA2rwbuvU1+3mHPWm0bdcdGohLA+HjnvrYcCc6kQ6K8RlU8Hgpq3duslY/SbgLs0PbYknzx4BMqJ/Uv6seMc1YOGZEGn4o5IKsKkg67WWEFGzFF7Yr1XBdwb7kJl49U4ne2AAQuhPL8PBRu3RJkFSKTnQXntgb8FaOINIwyenAQMF1PZrUC2gwkF+7YTOMb6LLV51luyAJsXK0fvRTXxTsDzMDFH9dgHUrnIYrZl7ZVmmzN0CfUiBSbOMi2g5Zr1jKzzdwv01+xhwl2owc77/Oga9Nn7IdGihRleGqz7YeZcobGJ03e1Dtb+yahEJJjE29U6NBa+6MlofZPoD3YzCMcx9PcF9ZTNSymdMN3U+oBnJbvcrXLA24rLpv60Zf5h6wwAcx7G6ySHNvs6L56G3dzZzn4VGt9MMwxboedQFMSaXRH7tdS6NT7JsBHEaQzXtZbrpfXGjAQGmRhsYrCduaPdTEGLvIG+HPUMQFU9aLKEcE0RC+vMuz0VYw1z5xhg89G1/pwA0oXjEoT7Pp/kB0ftQC1x+xIcgROD7jWaN+3Lf1g48JcBC5+zNxIS7nxcizAsIps3esKlp8cHy35saS0OsPlSKqTI+PmNfWCQnOVHlg3/25Gz87vke5qgvUz9uewEMUWGlxFyAm9sTwfldKhQwUI5uukNzQWqFC+9VZTrMWy6+UnExlNQHRmjMwSkFQNAm+A9jOZ7IfkO1idPiOBVRYVRCkGiR67YedHve11TcB0JCb0IhSKX1ZTgbRFJDoGShKE2IPkuAaR+y+sV6W4TcFdqS88leZFE14HJKaBSBUp3B8eUxo5Mo48wFdlyMJI6juFiGuNDJp779jDOFh+GN34WkXGTZMwG8iSnhfbtw00zL+EjhUfwqeJ3sTFdWlE+ZZJbJZpvunoS5YYhwrBcLwyLiOnlIVkuwhUD5rpmw2jyyLwY4AdlpN33eXqQfNMn0CQq68D0o0F9lWSb4HGhNGUCtblI6tBca6lc3lc+TbI88A0q74X+/HWFRvVQkRwYlSTCNGcMddJLJSaPQFruv+BUwUdORTQgVFcwQ/MQ8r7gviXUI+z8le3i3e3Cg0iYRPrPkaycpn4mIifQoV2FTyffhg/FduAaox9RSUPRk3HCyeGo24OCD7i0QJnCKD4clXFDSMLaNsoDvY+G6uNZWvD5epeGDrUPR8w0Jl2bpLwCpBhVRgCN82Ia2c7f3Od2UxWIh1zUfQMPPUDzLgoiey4cX4avqoimCjRnTcGiPESkIvrVoI23YilNBp1DnBZFW24r1SWzIVj9REboC0k0ISG3URJO575/Bs//rzqe+vutGD7aQ2UhIU6AfCglvH9kidUI+gtN7/yh5NHXu2F4FtoxhVM1eoE/lFy8uRLNpOL4gz/7Gpb7Coaf5t/83Efw0Fd+H//417+LHVvX4ed+7b+Dd6x3d7bhwS/85wvUJz90J3LZ8zjqf/2Tv8eud30Gp4eWnvtx/ABeN01+3WJ+K+JXXAKOsQb5jn+FpXZkrCSy1uTWqB8E72BZGEZxpsCTSN4V7ylBBbSNPrhyEopXBPu3+DlstPSgsLb8GXQXDiskmhQVnLZfEfrrRXh3PMetTc6CAegwASBsn3HrrOHb1WHwrnYGAVvA4OLzps11vYI3QqijopExUQBPoNL0CA4NykVTglsj90vcPHh2NncW7Rl6NzwjCTlaQlw9i1XdLyPXdgoSjV8jlQ0g3OsSMa3cS50tC2Y3E4c+PCXMTJQDeXgkuBUNG7m4zk4XqSuGcphJnoG/+znoEQ99le1os7ah/WAPTYzIL9+OhwhAuatzO7amDaRo4UR3FSidAeD59cpp/E7hBTDAqsurSdjYBF2S8WOE2/Q2wUtONNR5JTR67h2YwCh1fDzsHMyX8fxMCYM04WvAQTV+Bo88W8F/oQnHr+07KXaLf+mFaYynDqOi13C2HsZMPY61tLDw0VWd4N08PGHh+BcrEwXU1Kegrj6F8eQjmPaeJwHPIqGlLEB13r3AACjvZpjy4ihiK8roxain4rH6lABHj9rnILkqwuUQuhP0QACe3CMj8XwM/A4PRAtwXaDXCeOjq7rw/+xcLyZP7+rOil1LKU+jEAAfo6PUgvLnM0IZjG997nvDdT5uudnHe+7xwEcSiQArIA6969UNFbLjYJgAZLTl4aCG5MmfKqemAAAQAElEQVReHEjO4I9Dh8A7xTiqT/QAGwoNnMsO4dGe/bSIUEN7XUGqIuOdYyHsMjdRnwDMNDwwQDjk+njZieCL5TnUPQkNrR0MrP+7gof/UXbBZ6XnPX6DEGb243S4XeWUCFj/3ez1+M3mn8FeF+2Eb+h4JuOSQF6DMhdMYLj/sVd/DM7aH0PZW0U8Vag4jNiZ+zm6eSUR4iKFSGhSPVQbGcQ3rkLF7hX+7ZFzQo/PSULvUwNdWBaQQXMaNakIhd51rLYBYV/DdeUUKi7wJx3HcHprCVbWAy8QcbC5hIE16UEYXg2NOWDo2xLOPiCjctxmb0xk64AskeAbF/bFhL8I4Of/s/a34TdTu3FXZABtMgOsQOuMycVhlrO3zr8dmOmAryg465bny7AVpjbdoD4c0EMKIjRRaLkv1HPN3fhnmsBFAqeFt2ZNY3P6y2jfVBb2aZo0sqG1aMnmyylFSwkWKxSUj7AQ4XMs824Vtitjy3QeoY7gvZEXvFwXa5DLF04oheOrJNLMGMS55wRUu5uvumQs8+mPXrzDXR4ZhPbA30D97pcBk971EjGVaELlyB4Skooc9ZG9CqjsJYxS+2mB7tyeOGgv9YV+JIZ9VxPArfi4yhnFeLEPqmGgo1NiFqGc5i731q5/5xJ/lsrjc2L2r5Ca/T9IT/0houVH0JaqUDw+xuayJKwqaMkC5LjsrZVGMEv9Kqjf7u0PLcu32IPWTIVTJl5AYSYHn2z5bAU59eI4RFvX+okD0Oonhf6jTGS3CNmehC+HUE3ec8msumpC+MteUehvBGFZjdPxlCBtNv9TUE7GFI9RLxuIhwNzq54Jj1dBLOqS8oUg4HLHyQS+AW17Bbvc67OSCBTKCA12ObAHth8u7WjKofk8UN/xdnhrtgmwnRf2WjkrjARfszWiChgc1LWWz3l93Tqf/CRs33rejdv6v5x+DLxhYfGXgcxVnWAKtEB2trXGsdr4pcvI03xIqgdVBjRH5qBCnuKNFabtozEi0dDrI7Y6AwbLsczlKUkUOj4H/hr4Unyt4MPngnwtXpQJKTIipJiPN4OwvlCx3PZxWqhO59z5zRTXtiUXslzWzJtffuuKteBNJLyZhBUH6m2C/VqR88YuEP9rJBMAH9guplxOLCOzzwGSsVlvqVjMF0aNxmM2NNwU9ISLzZsOwB/qJtBZhimxXOBDogVyu6FAkxx0ZUbRFp4lOdGDVY1yUFQaU6iVa/AMCwp8WnhuYEbJzMtQgomIJIdgyzoMlYA9Wty1bYlcX/ltxwPZQSsFMt/iGLju9hHoye4TVP+8WBild10LJ5NA56k4IsM12ONjiF1fQU9/A2ntIXjTQ/BmZKiPrcHk2AaU5Ahmd1uIbm9HrDuQ1+IP7RNzSlzmauXLSfSg2gScdX3pQE6N5mm+BzVGMh1nfAGbtEAeYdmodcRci0V2A5NPIG9g+uFTL+SLTMjNd6tWZWF3ooG7sDQJA+BVzwbMBgHT+aZroFUqDjRLgyK5MGUJIaovsdVBXMzBx8o4ziyURhExDQhbMsamKC72XKBY/mbAnDdW/W3lmPC5M9JP8hkFEraAsLzPoHtEknCA+pb7ajIeNttwyltP9fUWpLQb0a+vwyYtg39FgPTf5zL489wmfDaewSeiMn4tI+O3yjI+ckzFKg+Yo3aQ91dj2l+HfWZcJCJ30rsmkzi+kfSl7rVrPMRDDkzoqM+UcOQYtRGrQbHJ8BQVuQ4LU14UFqWhS1Vs1psDTjMys1mMqb5Ahm86r0iTmvK3H08vyZ/eTHkhHwbZi8U0ZGr+nTtU3PhLBq75iQvLk9h+pG7JMdGw+a0AZXXgh5K3mtELmd5khzSNvEMv8IeSizdXop/79Adx6PgZPLpn37IZzxAo39WewdqBbtx0zXZEwiHBq6kKBno75lVbJomv3f84/uUn3yf8mXz6o/fg4a/+PjpyS9d55nk9lfx6Rv5W3G9sCbCgaS8zudWsYZEZRw8mv8JCxKEVXdIQqu5lTaho4UESsBrguHgHvUugvFE/iFdytExIahdxWdLrOxll4cpc1yPS4mNlWmARTwZ4d/t3a8Fz3xtdi341GAgZbBUBmsTuysCNRhCbUum5SaqJF8C7dBIkNLk05nBfWWmQe5N/OW3HFYGQcXy0H3POBnihCGS9hJ2bX0S6twxPUjBr9iCdWi6GV+YuV+sigBePzB8lww7eYDD4pnouHhQtwmUYQCxUhpC9dh9KCRP+1HqEjmxBap+GqYKFM6jhwY5pfHpzD1iIrxJIJJk2dCuCCq0sfKF8HLxzl9MKy6sRU9aQoATcFZZwnXG+SxkallCt9SBa19BpFbAuVMNkzkMxO4tCZgb7nTiqUROh/mFsmQph9+Eu7DzYhb69GUh7w9DXnAJUH23KNvzW9jXgI2SuWTSh4ffMu9L5XZsoYNx9DC6qCKGdBjsdZf8sDtrfxN9XHgIvDjD4qctdUORr0KHtwGqtEwPaRmTV3ZDlXYiovfQsGqIEnrW5CuRsHHzO+pmzQHZag15XcCrmgi+vILMmFH8ezGdz8q6lt2tZqFYYz1JYj4Tq7W0R3LkqmIh96ewELTYUBXC/qt8HeYvwyxH+zJhVww0GbDeTBCd//SQgSwb8jYNUr0z0FLLgZ+Nn5N0dHF9fn497ewvosCRUbJo8uib6S3Oo3exA1SVkpTYYUggxSwXJj9AgoeomUXLz4Ho/IyXQAtl5N8i1hoRfiiv41STFJUnC7z5auWfQ8Q/absJnE9sw0GxjnP614Q5EZQ0HMhImNR+hU2PsPK/ctt1wtn0aZXUrXJqEaLX9CI8+M++vzpagxCfo+XwMjd+I9IAMOdUNz5cR1oqISGUMTMnYRc/ytpA0H26hITYd/KdFOn8VrLlVcPwidso2QpUkTpUa5+sxBWfhu0YzpWgijysyL2GgcQihYgGNU3XUBy0R7UxbQ+hRWRX6ciQiadhspPGJ+Eb8Ye5m/F3HO8GTgeX4l3KPdAeuAzMZcD06HHegTTQl7MALtamgLkpdTtPlYo3zwq41jfJMgHRX+Dn0XzuHLfG/gh5x0AKgh5wSs6FNCQt9WbLAw0AKkhKBq9E8ypyEBwvn3D0Ycg+j6NgYLnVhRzKGCy7KA1gxoM3qAs9XZ5FPHxEBXT6+heMWtmUI+XttQeEywL6QS3kuOLeb3VoTEjYvVKedurD6jRA+/+JxOLT41a0IJ4w0X8Os6wsHbldsGGxUWYM8kQIkCavXxy9s+4n0/C530OVeGXytRsaLbq1xErIXxMeL6Eb1BQxEn4Ek+xgt9sLzOi8Ks5SDx+e3N+jdyApSGXqBSzEt4db6U7i0UYBphuFRN1hJNDCgJpbgpnoR3ibcNXtpwER4/ogQ1RoWOfG1QH4RlmUIy1vspbhF1l53xQst/L59OQSf+u3XPcE3MAE1JIGxQMcKQXNroG5YHLVm2a8+E6dPSyKODnqVlxtnORWdmkJqBbvcWTZ0KhwC88Cy1bQHrj98ys/MuRjX18O+5xNYCLaze/5kMJ6ZYRnZ5ldd7L5Q8XBx7/tdbFjvzTu/ZE6h5FlgGfo3Zp8Fy17znmRogepG+nyYSFfQF7aOmiG2JW/P8KHQwnmIEPdUSRM8G6MhoRdpnFM8IByqQktHhNuliC+pF3n/4wMyvvt9GacYV276cv3KFwLLUosyXeEg/RrvsAjYLqAKJfPcTND+WQZkkP4ChhVYOAxvImHZsY0K/aqwDnbjoGoTwGQzK2NSZm1ZdU1b0AfzhpaFTLyownZNo0IkQ6keRT1yNbq3HUbnZBgSvSLFkSGRHFSY7YRP8uZA+jRi7XlkkpOgQQWohoR/qT4NLzmEWiVO4rmLtvgMytRfhiksRT1/s92UDcSNEsXvodGgROZ9V25wotSAiV0rjxJd+u7vDdyPHpeFwe7KoPi+G1G9ZgvaR9qgWg3UOhMobOpAeFUJYUvB3JGbcX/sDpwYuRF2LILGVQ4a796AwoduhdXfITaJJB58HrzxQ0S6DFHrM8LHibSjXAmekY9bE44LCM9PpLoFvaHB5a3NC/zY2JJFnFveA49AUOXoi1AWyiNN2cKnOsf8PwrKbS7kKK0d7gVJZIuPBRWGBeQ79SFI+Rl4Y8OYqc+hdewLs1QrDhRHgey7iNSTCENFKCujdXmbrgZ8k+Y8DWiyT+C8iull/omyJWcPOWVEJQ18dnsrnoU6R//pmIS3hWTw3KZHkWgeFORfp4ZwM7n/blrF+yIqeI7DamH4rht9XEWLkr++XsYHIjLaFZ3yl8KD9WvxQG0V7MwZwd5oLs4KyyLS3w94hkHPa4H3u9SKDfiWA4kkaT1CfWCkgbyrw5M8JEktzAN/FeDXJKiyCzWVWRTzCqxN2ds3QksyD2zVoLa5UNokbH6vil2fVbH1fQrCJMIuGeBHyFGuTcBUABNhxPXEDyVnWTUEmeZSEZiokcBQD7reH0pelkyUunW80Wp6yZzMO+ayKfzcT74PvMvdpTFo3mOB4annDuKL33gY//tv/gG/8wd/g1//pY9DVehlL+Bh49987bvg3e133X4tW4VK0Vy0kxbPNPWH04me79FEdt6c5K1cny8B/gyabYvPTNXMYCJp633sPa/mj5Vp+us0meejZHhSV03dDU9Jgj/R5AC8y112A+GS7ZdSBoJeue5N4fW+zOYOdePkGCISDVKUIAOxT9TH0drdzuAXD1YtQHDhYE/scLrSUEnglEkgkmJVdoJUlkBO1FlKSBL4KhwvQQiLxto1vuB45swd8GgGJ0WKJGxWIKkmLBo4i2YHMtmARzD+AESdLYrQTjoGdcGOFtUOJiSL8Y/CCQS7dbWT8HY8j0gOiBmb8M16CjOmhbGSiRN+Ffe1TeITG7qQMYKytBojIp3JRhi/Vt4L/pMZFmQ2GTsQVtYIPwbb7w6f7072PCPh8SclPPxSFI3wGmgkx9zgD8GIdhOYGYUWszAXrWPYkGArDpAdR7au4go3gZ1yDKtXjSJsuFid68adHRvAeXF9C5ZfgAcL/H4Z+P/lmSfFrvT/XHgCJ+3vC7+YtArdym3oUd6BSSeMM84sNhgTeHe8iF3RDK4MS7jCmMQGfQTvDQ/j9tDLeGfkSXw4/gjeHzuEhBJCvCQh5ykoGkm8fFASzxiRJIRKCiYTDioE2to1QG5Iwm8h8WmS5JFz2QMikgKe7NzZ3QbeAc98XyLQ/fFFwCmD6nwG/H89fFbs8P+VvcfB6j/x+fCkfm3fSbDf/cUKCraDXbMy+HdUcZFpLyBfqWLH1DqOHl+vnN+527eqilybBz/sQyPe9eEYYr0qojttbDYzUJQwpssNtDtprFN9vJdQjzIh+mFFxkcSCfB7ZZD9P6Zk8M6OLgsYel7Bh+syPZuERxseHryEJLHVSMOLGjgUs+ePlRGZbBIplIK38cOoKavgSxWEJx6EbJaEr1yvUL2YJTBegdy/UbiFc2EUSz1QSOjOhc8hWpRwOl4PsgAAEABJREFUryQjLQvvC0iNkJEpd4iEVxX65DVwaMHIo/q9cWAWdxW2gefQD0yPo7VAwaCprysY7M5BlRz0R4awM/kcBnAChlWjRQgP5aQjhPiIpF2Q1uth0QkACpEcnXJDyFSy4D+y1c+yhBSkJhFaUJ5pCEt3JCr0pciARhGRx4zbgNfWBV0pIdlcYPWyXRDgN/kP2WWiwIASF/pKiaFRR0LMZWcCL1jfxwFnFKedKJ4b2wJ5WMHabJZ8L7w5H+wiPqNmww+o1Jf3iBi81VuEfjni5+i5iUmaGSca3HyUjDx2vu1IpULgsYgW3Lpwsa00jvrAUWo/EUk4YbQJtI+4gb1HDTwOlQvol6fgTHSQh4KevhDpF97BLneaaq3dOv9OLuQIbEbtkDDwcQml9EdRi92IUKoNviRhppqDOjaJVhsSjMuQ4mQJpmsgmQ1D12Ws9KpWA04vKAaUYkEdjEhK4LGIthb1Wa5Y5PUjZ9WcaZEnL9wv9MsRlpOYR/KDMmDz66VktySiduWk0P8pkRyNuZV4UIa1oi7GTH4+GtZYe1VqeJmdy5eKLLPNF96VcQk0fAjzYsJfP7KbSt2q2gScnErQztn9R0G1dmsPB6LbBVnyTA9zkxHwk9phFan0Bd6XtJxtjhFtchgsW/PXggt3u5tzQfD4qkBnqugAj2NcnjUqV3ZbSjGQKJFspskS1k3FcJ2Zxh09wdgyccKn/Pro6B+CHVq/VPBLup2julAoAJM0HeH/zvn6N2UBvM+NyOi2ZVyZkhErydAKgaLhH3z1RAzWMLrEH6cKDyJ8hAtpYpc6669WMWD/GzvW4ie2rp6PQg6aBMwOEibJ1ZhUiC5/cxzse7pSA8uUbGZl0Dtgfc7NwlAtmDTPKRk30SJXEpuvewahkQx7wygbqPhxKG4dHakxDIeSSCUmqOxVVObS8H0f+fIc5NgsrIYB3fVInjDhaxdXIgY0y7QYb6gmZAIFG6ZI4hUTN5KDS6CZRPKLUgv654WRsLmvzxd9Bn/VsbDPaGwdQKn3SiSmPdhhBXO9ClSKJzdwN7Z9aCPeebuPa3aGsCrbD1X1UfAOc3SoXrtZbMJSqjXEnjwo3JYjciOYh3lGAgWqP8xn6BJrFyjLyUMhMDVEi0nmouNkmFGeDWQRd9NVcK+9nZ0gdrmX8mjVR24jwuNHhLgG9yKAYkoiRy3diQX1VTgS4Q1RPOeWqiX8+GgZcq2CJxrnF1DM5vEwDc1CshaGZki0mBnETcHh8bEyURVwbLQZQUWqTPow7fM8zMfqaiPoM9i81O52dm+p9ZqED5DwxnOb/zsp4z9QP/D/pRWwYjeuwy3exTqLO7mdPpSwD97w89sU9oPRMM1RZTxlduCvom0ohlw05gDu+xaHZ7uuAWs3KQjLDlTPg2oW0XBUqHDR3qNgltw8an2guW//gs1MHLYw64KaFUJ6FZHulctvHJaVRHMf1luyMJsXq1t/LoLbfk5H95UK4rFL9z2Lw/4w7bY5QiUooSh34hXsJXnts6x3Q/NstPuTGG1cXFdf+wRXGCM3ob3E+0arlynNy9yf+OA7MT41h+889vySnIPD49j78nEcPTlEdTKCv/zyty86ImZmroj/9RffwL/+7I9jKTB+yYjfAMdX3krfgEy9lcSrLwE7HAijmj1MnXFxPiLVPifMi3e420afELoUr0gr7yfROkqmHr0JDLZzICuyHWZ4O5iHQXd2u5wKSTkCBHVYKMBGc4aO1+eyuzLzwtG6mWBLFINLexskXVOSC1e4B7Q4uQBHLBoFhSkgJoH2sUIISrUBpArCMUuTKY/kiCpFOctEuF6atHa5nxxOYtbdDk9PQg6RkCg1YPs6bLkdunbpOFbqq8yVBSsfpSNZNpxMArzzzXBV2JJLq9M+/t3k8/iFoadw8mkHo8+4sHr2Q965D+E2nwaiLdgZ34Wd/TF8LTWBx7U86ZP42IZOdDcnGpxArXYGpufiESqMGUJZ2miydVPkWkx5bewNBmVbYDtlA48+LuH0IBUc+TI4c+bENvAjr7bOIanEsdG4Ar/X9jb8QdvNuJLMWs6FfsNLsD/0FYx96M9RvvfvkLjlZSRJiI4pPRRLcM/6+zDifQ/PW1/Dw41v4JR9gOL1sUm3sc04jVPODPY1oohJO0WAZ+oF/K+CgT21Tph+BgmFnlk5jM3aUdwefhk/FnkBa/UXcIVxCjv1aWxRbfQpaSSlHmw4koEu+XjiYASWBeg6YEgSEnM6oIUwaJRgU71Qq8FzigSJyA0JhIejqLvwye//Z+8/AOQ4rjth/FcdJ+/MbA7YRc4gIkFSzBKVSFGBtGTJkmVZliWffCeH8/n+vtOd7bM/+3S+z0H+zukcZAUrU5lUoEQRzABBEjmHzXlnd/JMp/971dOL3cXuYkECJCSxp+tVehW6usKrX1XXmEJBsNtlJuj+9b4RMMDOR8z87yMEshOovmckAz4vlM+Dp6jknabKwiqiKtLvISrgbsvB8nMWJqZK6LaiMLsG4YgS2gdbwO+G31EAIle9jIynO+9KfVkoJXWry4W2XcGKShS6F8LhQVW6i1EF3WGbnlHFmyMJ8Htdwy+PfHmn/7cfVOjdAuf3KvigoiBCZfJQyVsQdL8+3ATP1PFwo01tqwh1Iksxzb5FKAmr7Q0oWnUQ6jgSx/8NwqlAd3rhqQ7GppZjMuLP4MNJgVyB4vRo8h3x+7TMxOx3EMTeO/Uc6twcojZNFCdW4NhwBPAApTqOO68LYdvoavAnwF+aOiuDRITUMHrbVky89y5Mvu1mlG/bgIabdGza3oPYa3pRpSga1JBk3Ffx8Hd5j6OU9qtBQrQ4FxY64pU6HIpZqIyNg9s7p8X6FEwyCuhpejAyzXdHKDy7M0CSr29kI5Rjz0nda2qTOhPuM1nvYqSfDUtUZt5Ad6wRz+AIxrwCSm4UUyfq8c69T+G3TzwKt/0CgDAdpemXIarU3047vjiD3BlWKcFtWyknZkuJJciT0n/GZ6fw6p5vSTPvLmODmOeMd6rqmPTKNBa6MIVGfbsNPn93je5XnuAomYna0Utcp04XCyjTxKk+68JxQhQmipaWed5XIoXqr/0hrLt/kZOfVwlKW3NGpF8lvBm22SmPoDOX341ILEaTtRiOj3UiMuNLEck8h3D7mhynsqdsNLeac3wXtlL3g2oVsj90c65knKj3x6EuPSHtcwnLEbbWDN6drVf8NjuX51qxK1V/Qcs1l/YZcgB+B2D41XwO1fLz5uhNVzOZVyRu7qOK0YpM2y5a0zKSVfHblfS4DML1dJiaCY/b8+1cXiiqUBqItAB2HlgIHC6P+aFjrR7CxM+22iZXNl4TKu0P8wi+RpmZqUr3SVgVE1XqszxVIDbP8Q8z+Weae2y/rd8fW4mPJ68HyxvBbvdvnO1DlV4hL0SoJCbNDMfjGNtLs8VudpqlnLAi7VFCFlucZtBqOfgqDUIaUy1FsIyLy7zkUQ0UhjfE8AYIlktHn9GQ3Kdjt6biekVF/KiGxCFfpZ82oFDd440eFGwWeM32QHHfz4rlszUJEg4Cjyukq3m/PIqdDhwTBGwC5rDvNl8SnN/NyZj04nxJAxFdp46edLtUBzNcIJOLAsmE+fR9MGMFLCt6MAeSaBiNYHCM5HrPQVPDAAok66QIXBcE+FVJ1vSKUehwYDSMwSqHoNC4lopPIKzXGgLFPPMuqWkC+CtQVQvlkpjpdVlmBt05gFYYYW1e1dLsP+Px4xfKh8c5s/tHMKc8uPVJeGEHa84OIjI2ARKt5TjMRwMllU0yTv4iluerLh9Lc/duONEIjJ5hhJ8/Jf1nEn1wQrobp0ahjGgQUwoKo9QAbBfJec4wt2h+Av6SM9YKjxOfEZkYGwCtgsCNUzmaYbgbdsFfgAf4PHdlwp+TuuqMQNeAMThSRqUFR5778MIA11NqvrNyx5vfiuUcNk4WcecYda5WFfvLo9M85drOeIWg5hiVn9k6pwMB9cltvuzKm2GiuoVoQcf4uEU+s+9doSbCHgSiQsfMuf9sroVtYaqmrBbmmN+Hw3woFsZH4gK2Z+OUHcent+bQk/BQGadI5w+GZV0KPE2H6VmosyYIJ9CoFDw0tQr0OwIOzXVUlBF8vR9EU8r49d2MKFDC1DkEHkvVK2XJ6Rlhqf+kEnP0CEJDz8PInJHzRn6OatGXlXSzla0vn6qUYHzqf0F5/nGZZt5oR4j6yyaMYMBSpNs1QVTKRfMroGhooVQXveviUXzkF+/FJ//xq7Bs+yLe97/zDfjzP/goPvlHH8M3//VP0NSYwhe+/sNZfP/4b9/BhjVdeO0tPhY0y/MVtFxDNeAVLIWfoqRZGK2Et8gn0io907pwy3DUOrikpOMMwpN2tsYmH5CTYkunSXx0JztNq1LsZvDk8nKOlgkLf4AsuyPT8VwtQ2n7Khl16syQHGgLNHjxRCAqdOw0L0xQd9XMx6oZyR+QALSPTPJgR408NgWdZSdqISVLIFTlHirgXliPRQEW6pnj6bO3Qu5yD5XhQWDSakG8zmCvK6LUfEnGoxAAywa7tR52QxcbEUl4+ErxFM5M5LH2oRU4enIc1k3fg775BEJpF2l9I9I1IZOBYKNZ4LuJUdy9qh7BLhmOaNDqQaGcBZ+i8FxTFPdFV+GNsZuxr+oP8HPBdv5kt7dPgCc1d97mga/u4Raa+DWj0cujy+kBA7R/MOngf2dNPFzeikk0IUXlEoraqBoWBtUKDos8DlcMPFxUwOfF8272E9YpHLcmMeRMIaRM4c5IDr+dnsDracLQpJo4UknjgbyO3xt7Gsz/99kj4CuibMHT5bfjWGUrVqibsIuevUNdjrjwVVJsQptyJ1Zpb8N12utxW3UH2sZNHCi3YmhSl8/Cf2pqCg+JnAYoKk6Fc6gQ8MSCJmZcKgHularAoGkjktdgkh+XBWny5rIOdrozwP7580MSSE/pOvhz4F9ft0wen/MXu9aB1X+7biV8tUqeE//2ZU3QG+tkXCvGNbiuQoso4whHyxgYquKNYpX0413uo06JFhp8QX2q4kr35Xpc6kxKy220EjKhk0AX6V6F3iObMZjzJ41dkRQYBGE+Vi8cFNi3X0iwjZ+nUABOPqHgPyQEe8t3ysfLSEuNULTYTYA7Wxc6Vob9pGragkz4btiOSguFxxA79x1aAHwS1HBwPrcJ0Vo6MaqnY+MreN6C9ugZGXR4xM+DtMwg2clDJHhriI1cj54pC9myCc6TSkIt74j6OQINIhVaPJksyzrWTq+Wg/c5HnhC5KQTqKzpQGH3ehTu2Ymhm9vZG41qGCWq2l+hSeqRqovTlnS+KiROzVmlx1s+RIsMpoFzIRv64LhMSxvPIlsNw1METALmpeMCJPiyZzQakhxKbkLqbu1P9biucJ/JAMrM9y6ZLkFK4VUo6CZU4mvNN+JND5zBRx/7OrZP9MDZQOOIebFA79aOdJkP1KZoLusOPru+1AczKO4AABAASURBVJ+lzozUa2zzrbVdPuoLT0DJZSBB+223SL/5jpShV46yU6TeXEWCyl0oHs6WCmjnl0Shem0P4y4Z6E6Tf5je3ZFclmxAS23I2bDJb2PScQ7xdGOOC6CXj0OzBqW7WTo8PUZ7wn+X0oPI8rVJeKqGfSNrYY4dlRMQcp731gqjODdFErdQUJeeHc+8AWqOE+P0QGTmPqA47JAJyCcqUm9UF47HoYUBZjLKh1i7ZlWwmOGZVDZLyKUnuIcHFFogXAL7S2LRbR+gcPSmlxTPtRg4omgoh/yOtDJlIxajDpYyOlFrM2S8rJuPk+EAqSQksMbmpapwg89ZHBK+YQ6tZBTpYtYDiunn061Kp2uGNBP4yIsNGSq/PI3VnDHhlSEGnsGxh/yFsSoBNezeQgsME1R/eaf6kao/LrD7fOpYTW7ms4T5q9E/bbgR/D8lPHbsGxjHEWsczyb7SdaihGdEwOMYW3PnBWsLKsX0+xSTFixZjmJG3sVaGPDLOdmpstNlqSF6j8MjAJfH9bs8/NxbXNxLINeNEVXGw+O9usKBVedJ5WnkTMmpBBC3R/z23V/0+zjymXWfyRWlfVd9HUKqXy+kwxUgDF6qlCznh4HNUhfNSyjecDdnkAxzbsdzMeGUsaUGuM88ViYe88s9V62DqrvwBD1rsQpHawLPF5dvfwGryw7S6XFM5RMEkpeh103JFPQIZQIeHL0CNUtjOZWN9LD88lM0B1U1IZ3mElMIxEM56VzMS+1FESuxTIbTc31Sn4+sXum7ds9Y0/VOPQ2vlEVFdKAleR+WT7YiXLAQHnneZ65RHVE5HwBdwS53Bt2LN6wnFyDywmmEjnST7DWB2GMHkfzSo0h89xlECIjXSQBUz4YQe+Q48kfGYYxMYGXfCRluJnELfptQ0x0znaVZ6Tsnda9jhdSZODfcRQB8Ssol+pP+UXee5rHXNaOckJ8fQVVTn/LrmDNndztnlje/iWIOd4wW0FR1sHF0CtxnBBuDMqN+u1dgI+y4SCxzOdgsxQsQjjMOTRQRowUkk+dZo5TwLC56V0LHH9ffiD9IXz9rDjOH7apZ3xNtwu/XKWhTM8jUlfAva6s0j/XLab5EeS4SSeuoKCHc3H4Qbe44FOpK0g0CY65DLY9D2ejklUw21lTQVceX+e2w5rxkTanNAeYeN7bkCK4BRqWSRWHoQVRGH0Ls/L+h/oW/RPKFf4YzeVzmTtOXJsdJ5itAVJpHCCpX9fhzMjaDFn8010admMAZnjRK12uA8BCyi/LxcqttlOYS7l94x+swMZnDl775yKLcvHt9ZWcrzvUOTfP1DozgM1/5Pv7jR94FIfw+adrzFTZQs36Fc/Bq8le8BCxzjYwzVNwvda22I84OrZX2uaQc3TXt5FGnX0jePW0PDAzUM+jOdt7lrhDoyebFVAQ+qJHzuhdjuyJ+FoHNHJF5uh/NMzo2/qSM3QPVqcWl8RiBbtIwg/CxMnpJhVopww3nkdAB3lFQcgTqHG3BXS4zopDGubvc7UgrSqIePbm1NJG8Mh2Aki9BEFjqGTrU2hmSVQJjKw3+iu65qT5kHzfxuoe2ob2tH6nXPoyBtj5MEtazTL0H6RrYLjNM5FdWt+NPNy0n0LeObP793WIPvpB5kkBKF0XRgP/ZehvC6gowYM4cM8F2ntR96zsKeILHYMwbX++CBYnrtviCxtGTt8O1NOy0z+I6XVD6AkVCP/kIhodKd+Gr+bfgUPUX0YCfx4nyDnw914EvEvj7QP4M+Lz4R0tnCcjKoUBy2BOFjVil3YaqWIlzTpjcgVPWTtxNgC0Di7zDm4+94TzeEV6FMlaSGKdho74GG7VN4GdvVHYjUGwPiUYoMDgI1FwJWSeEvVVCO8nl5hs9NNMEloyoz+nUiQMHE/5Ey5lQ2PmCKgk4BNiejlRhllVEFHHRDjIG3X++0xcEGGT/4Kp2/PetK/Ge5a1ysYN3KV2I0DeFaDK3Oh7B7c0prCS+hK5hAy0OjVaqeKpkItk4CUsUUHeqHRv0NGLqCI7b30AVkzQJA6qWgphDT9hAKAH8i+vOMlNAwMUAlVDs6FY8eqYoeRsKjaQD/F55EeVg7Vid63d6eCO9W37H/K7Hjih4b1TICB8pu/irrCvfB3/C/U+fdbH3cUPmZ/5jZWSwaSKW3YKcWEu5cWDknoYqMnA9BacK25BKezhezeD/Th1BmdoTB0qZNIsmw/gEkTn3wfw4Us4JaFDhDm2itkclMeUD5rzDndm5nd7SvxmVisCe0gClVWZn9F8sw0v3Ucf3b1TD6CNglesve3AdZv1qqEir3346xpIwEce5sAN9yH9gLZPHJLmChIpGWrDCIlcAoufrG2dxBTu9e2o7F2cuyMxiXMTyCPUJg/l6tB21cdNX96B+gsoynoL1jg/DvvUt84b0EinprowNSP1Fk0oJCh8DQ6C+s2HHkqPxGPCnMAqB7ErfWQRH0vAk16v1oSKbuSi+/nIVFcWGRiiI5nnSf6BcAmhixJYBmjf2U91gc0dtHjRQqqDVncLEcBcYJF+xymDvJSmt0oP45DcQnfyO5NdLp6RuhddIfSbZsi2KaExHzorjeKYFke4fz/SeZdZyvRgrJcB1p6PLxFKvM+d8Tv6TutKk//yT6QKiQkdQxzDPVQ5vlq78PNJwCSJcG0bl9CW4rqy3ao9AuGW4GpULyUFLil3xy054ft+wpDAvkkmxJ2VIV6mT+k8TiQiNFm7KJGt4KGQEmps8+XjBzmRpuQzS0ysk96qVrtQvh8Q7/bQLC3RNwW52IwaE0n7MZb9L9i3XCE0l/YwM0VyU63bmhy/gx/+8BZmpeliaQK5OlSB0LArsrQyDZeKv5f2vvTDPFSzKclvnMZBZItTu3xdfh48nr8d1k768fzA1iD+e3IcPjzyCv88eJtnuDH4c7kbGqWB83AbHw2HnUyIkuEui/kRBcB52hkA1rwjw+e1GCxX6fAEXcQuOBFy/zkOIZfnnDKwmuaKeZDp9uwP9ZgvF9Tay11lSVev9OqMWBCKq34kPlsrzprBn2B8jtqQuP1/zRjjDUavtbg+O7ag0u9O73PXJOXInhfvH3DH8h7E9OKWPkA2Ye6wMO5rlMJKxMdnO8nmPncDzOk+Po2PbQUzS+1So721PdSOrhMFXXZyf0UOGxotwUWcnqapTMRrPXMQSU1gI2PL0ekAAqmoHQyRezBXscF/oSBmOs5neJ8ulhQIwPCygZ/tgnX4elhdCdd0bYYg6WlB/LbPCGD0FQfVRWmokqWySc4Ccdx4WKBJyr3Y1o7htNZmA6N6jYJCd55hqoQgnGoG1PAK31YbdqqOQrkdWjQBCQePZs4j/8Dk5R4MHxI5r0EdIOACVRXoZ0dl38KVdsAEi8LXu+7APug8OUFxVkNgReL1i+t9mD4MVHxMTnNWuUVvRCn6ddEOzs8btnfuWSC6H6zNl6XnHcE4+z/6Kv4gsqK7zcUUV8o0S4B4ieZ+Ms+9ECs6y5fSOLMQ1m+ZXBgYHSfaazSVtPA9s0658m5SRL4FsNtrxkfhxbImdJAzBwaerZXwuby0YsqlDg0f15uTwcpRoEd/TdKTqBcYcqlu0kKZ4VfAi58wIcsOetMaabalfFslymwbVrdoAdlmBryHmyQOYiBYxHHVwihZMhxIZVMKHUaHFDs6lOmPjhHr4Gej8FWvt2dn/SqtgHhHMa1yzAzrNrZswhNM0hv1Nv4c9UwIl90qn/JMY38J5joRD+K0PvxNP7Dt8ERMD8XzkzNmeQXzr+0/icw88jFtvuG6a7/986uu4ftt63LRr07RbYLAdBxYfQUAOvHs+MJP1Zbn9HvJlSerVRF6uEqiG1sjd6Jo9DMWZgh5M0rXZYEuQH0drkvxsn3mUDNtnqss9Wiaq+ABXGSPTAszM+K6kmXcjVGsg5jL+rI8ij5LwOPeTskY1DB6MyRvBbh02s6qs7kC4YMCgwQ2JSbh5Eo7Io+oIGK6CmUd9kPOCN09gVtXOcj88egs8LYKCF8dkpRnJeT41XDCiRTyiR4tQaIWf/0xRH54Ag6d2fRzDvTpODkVRPlCP5aNRNN7+NLQdp2E1W3jersMnM3X4Zn5o3phDYR88YM9jlQz4fM4VdgEmgZatkQ3465yJhcB2BmVZ0I3S5I0BWS4DjmfbdR7YrVJOo7tnNTaUzuAjooI/TCrynLyPxRXcF1FJJo/grK3hW+Ukbo7sxC/G1+O2cBt4Rz2rd8ZSWKbGsF5fifvjt+LLhQ34ZuFW/Lj4ZgJiX48D1Q34WimKjyZvBPMrFOO7YxvQ664AA6M3ELDMx6NwnmYqBoaHhsRMJ6iZHH6UX4mSamLjeoCPf6B1DaRSQNRREcpqGIz4I6ZDgubMwF5REGDsYsS0EcmqVHKCws/k8M03NiXlDvb3EHh+uZM1JxZG2tCwaVKHW1Uw5Gio39gDDw76h4u4Vx3H9eERAr4zcL0wCu5qqBUXm3IauI5gxtWp0gQBOQzHJ7EjpKCScikeDZlz9fjClxTwETK8O4zf4dte64E/ve6iCevrlikyFgbi20dU8B+ppmhx4bTt4Q+7XXz5OYFKBfKc1HW5NnimjqeTNniiwotFMjAR81QfEg/uReKhvQhHbBTafxG5UiPlIQ+PJn5Wph55o54WLYCv5GniXu7HY65Kz6UgFR4mYaYKzh9FNes+23sYYXqtyXITjvS0wabXFaoPyXAelZNazcg4u+w0Vk60YZAW2R4p+WAD72KeFVnNMuaUpKmB+pBnqr6wyw6nrAtmtl9JpRpAco2HmKIjla3HoagNo8efUDu9earbCqyQg2RIXzTZRi0k/c8lY1Jn4sbTAIHObB6dsZjA9stRB2kWeHBsNVY+3wtUSnJXu5wodqxcOBoC5KUnlbvUXyTRHvu2DCkXDmrPIh2WQNwasK4/+JnpfLuUZ5cmdhxcGfN3lbM5UHw0TF4pw1NDSKOIVcogz68hqhVEhKD34YF3TDJ/vSpQpsnjGeoY12XHYNsGmlpDst6x/5JUoRsPff3n8cLTa6BXeqFb/ldrlbAPYM+NY+P2esqbhmdH1qGYs8Gf287lYfvUcBYVV0ckYcAw/LaMS1y8+BYcFbZ57SSmRuPUToHRhhwaqDwWCx7IGKo7BQb/FuM1ioeQGPtHxDJfhV6lOrUY8xX006t+2bpm15JjdTUf1VTouZYc6EUyKrQgwEHtn8Id7iyXFWmRmp+vSou2fMwDjznUdOQYwu5LVfynmDwm8I5m/lO6pYYL+CK1RU4G0Z1q4HpBr0z4ZrPekwaV+mg2VEleZP1aUcE57k7fCzjwdyXsf3I7LBo7qx0ONv6iCk9XwWXM+e22s6whWHiVljnkWNV/8GDTykxv3u2+NdOMTXo9blxeD17093ewDoA3THzBO44jsVGcKkzhj469AAbhZoYPzFZMBYOzYU2gNOWXb7mf8ko9TX3jCGyjM2Bdks59VlAXtqcxhDsJAAAQAElEQVQVJJ/XSRYCHBOY3G5BXWOjq7bAglqMAcAtbCA4WrFI/Tj35TUWqfGRLeweURXwZgjpeAUJA/4cnVP72oPN5XaHNYQGFKkHRCkLtJ6L4HdObsOPir0oRvzKyHlknmgtjqxVB0WnOISHkSHSydNV68CgOxkxmmsnILqMllQvysLAGbcTVZI96mPD5K2gPFVHuv9erGwUguIJhwtQFIPcL74LShiGWiE+B4S3XsywRBcr0QEec7XiKGYC5UolK8c4HufYHBwrc/ZkBfqJ74PwFXQbN6JleVym5KQ6YJmNUIrjMIePSreA6IgiIdaAr1FnH2tSlbavQXnTCmm20wkUbtgIPm5w8l23o7qxDs5yC+WdrRi4fTesxiTiy6NgMN7oGZZyrTHmwKSV+PrR1SRvRaDWNn3JCGtE6fdXsucC7rz72COZRFEo/+UC+EuHWpBXRON54eOlAbDiL2IYdLejfn3Qx/w6aUfdWXnjzSwk/ODOoSlENQNK5ypszFbg2VU8WxlBplJFKWtDgQuFwOW4W0ZoniNlOFKrLU11yUVcr7AVhQEh9VeCWLaD/YcLqFSdi5JXYCClLMO7QkN401Q3PJqrf6qQxdOV2WUTBFy5XgUUBf1TjdIpVa9C6AUMO1GCawUSio1G1V8AkwxEihk/LiMeJdvl3UrWB9xhhi4v4DXGXS53yxydxUrsw/U4ra7AOb0ZGZGgcqO+x2iGcuxZ6J/6BLRHvgblwBMwv/BJBF/FysBXiChnqT+h+U8QHR8TJSh903WwwhtAmeazZ8rAN8ZcfPycBwbfA95X9YtL4P57bkM6Sf3eHK8/+5sv4K53/Tbuff/vyT9O/Y+/9i68777XS64TZ3rBIPxvfOh+aZ9LfveP/h7bXv8h9A2O4uOf+CdpPkfA/Vy+q2X3e8irFfur8b5iJWCbnTLtcHE/gh3uVsgXJqTHHFJI3oti4k0oR3fO8ZltZcHMU0JYytEyCg06ITTJCF6OY2UYMOfE3nqCejUy8O72iNDJNPvu0v1GfLQ2gQh8rdY0DLcOggA5JTqGkAYS8oASAe5JVyPdH+AC/sV03j3L/ifPJzGGW5AtxXF+cgvS9ewKuK6H3tpOVd9laZQFHBz34JwrwMsL6BMeBdRgp+I4910D3Wd05JQKIjv3o/Ete1BdPoVMJEqg9OvQpOwiXoAnQHzkirTMQ3gy9BdTL0CHh002l6WCz9ityFCeGVRlcDUArxmwXghsD6JmAF4oKs50X4ecbSIn/EGSAdE1usAdIYE/IACed74XPQ8PFF2csDtwT3Qz7oiswnXmKqw0TKjCxFGrE58reNN5+XjSxEcJjF9NEzTO319nPbTrK/CZ5tfjrNMu+dpVgfsjF7o6noTxn7p+9esKHtkj8P0fCnzhywr4OZ7dr+Cpswn0W3HEUiquu+7CO4+TYMkiT4SA676oBUtx4IwLJPcaqHtOR+KgDtGrwFE8jIcAs6zCEB544o8reDn0rnnHe5NlIWpHMFm1MWDE0Lp8CJlCHt2H2yjdGPaVmvDD4gqUbKp0JMg2CgNuLIyZVyrdAHgOus1h1De6GIpXYJgxvNltRgQCfF5zA72o+zsVrDyt0yRFkcGXOwq2r5VG7N0vkCwL/EZCQXhEQX8ReGK1jb52VzLovfVSf7JZIK8C4aPd05/lxh4/BH14HPrQOLkdQrg5iXzjO1C2YhRGIDO+DEadDq733ZUcFEpnNO1gKtsO3hHTFPFBMj7yJlBPvODQpOwA5V6gMLwDE0UbyS4FsRZFhoMroNoT4CuVBPgsd9vx0GePo0rlRHMj9rpIMYDAjgIaDlXZ5Ktx/zF9yxWkQVRxwv/CQsOy/iYcSnsE7lrQByeQnRRU14iLJtORefo58pm+G5SwNBd1HTB9s9exQroxCQCXTo3LnV2WpnixoagaqKfJYMrQYN31c7Dveid4orhYDG5jq/SeD9SWHksg6gtPQD22Xz6Pdeu9Swgxm2V6cstCMpXJ9G78GuAOdmc1I1hfxYJN44Ph6Vg3lkXr4RhSyIOPFmhTfcZnKr5O+A76SmWYtMBY7m+DEAJtXf7Y43MsToVXxsiJPPIjrThz4AZaCNwjA1h6JzxBHYy0zSarVpto74phqprCvpE1CPc/DYVAidlcwPCIK52aWvy6IC2XIAcOCsnBi8khMYVivk7ay9EqgjFVOixAApkkVDo8LwdvDohOPYhY9kGo7pTkMUqHpP5yENUakcl4RrPUl0Ic6lMlH4EEUr+KRHX8MvEU8yqm8spFbSctmXgp6z/f1i1+HT1wSJFfWknPBUi+AAnM85jOf4rJbNy3G9TdsflyFZ/jzmHmnuPuUL/Piro80JDLLDDTUoOd89uHb3vlaXOLh83KCxh+cjmGJ1pg6R5a3gi8+YMRFAqazGDw/zJHKxlp5zHuWNU3S4cZpMfOS9vymvwsLTXCiw1cLga9urc3deHj6V34ePJ6fCSxSW6AuC3chtZGgxbBNSQmIwjAulrwac2jbCmaB00BNFvI9z7W64JLtn55Bq7q9znTAS5hOH2GQwKrCVRPn1MhbKDS7GJqR3VB8DIANdWKH7Y9TA9F6UxQ30/a9P29gXFpvq05JfUrTbSCn75NcmcQd7D73hhXwLIQu5vDCsIHVOwca0BbNYobJppQDZfgkiz96LD/LmNR5gS8son2dpaZPJw7nsOE7w3eTJVPvg1nxrYQo4doYpJGOQV7iztQ0QzEQtT3uABKNMafX4bcgc30jizEzCnk1AiiepI8L77DWgSGXoUiHJRJLryYY+kudoRkVWIPDT2HaM+jSL7wT0gd+CfEzn1fKja/zvkbvCHyWXSOfwsFGp9HnWVQV26nUBfuanqdtIS6n5T6TBJXlkNFFDTyYtx7AS6q0ruwez3Gf+mNmOL/9dnYBSedkO5a0R8z7EgTJvzqgGS7gWzt/HdtIovED2i8I/nIrNTBMJtkuFkkSy+B5QySQeaTm+RmAgogKA7SXtH7qOXLzZyJbjsn2/GI8DeiqDW5h49mYv9Afa/YA1HM4/qJEtyVm6AsW42mqo1NI5OS5ampIWhVDQq1chceQto4hKlIv7nEjWnwInWIEQCtCRuCuqSxCXsu28tiP3GGFgwOFPHVB6ltzJNiBG1QDQ+7Y8PY3ufCtYDP5cvgD/CrlO/hZxSMH/HbeHMLEFdo4caLwlM0tNRbVPcsTLgGlYhAi6rOSqFieeBXoQgPscYX8fw5qnMUo1eTw8n4E3fzwlu1fJ7KB2huugVb2u/GkcRH8H/wm/i09z78nf0BND/6FegPfwUKPa8bT8nNQKC2xn9GrBMIr/T5m6xwBS61dm57EJXITtIaSggWjZdd9ij+tKkbb2tQsCoEhIQAg+8B76s68KMv/wVuv2nrdFGYJLw99vW/lu6BI/Mc+fGnEKgHP/sJfPDdd0NV/f5i3apl0m/75vmxzj//g49K/yA86ys6W/FyXX4ul5baq1w/QSVQDW2RueUJq6DJoK01Y6FJOjPaRjvKkQuVnd3mUyzw8i549uOjZRgUYPNCKi4ILSLPIgaIXt272tUE3lmwpmLiw8Vm3BtdPm+Cu2pCz3wTCzXlT7Z1fQIeDYoh0wMvYKu2ivGyL3zNG+kcRxZwm0m2KhSA53uvx9eO/jos15ze3fjt3hH8ed8ovjcwNifkxdY9pX75ae5/GX8KXzp0GiNnbUzlcyg4Dipoog59Mw5r9ZgcLUDs3gf77Q8gsu4UPNPBSW8jhtzbcdxqA+/2/rnYJkQJnOMjV3jSw+D6zBQZ2PyLyRfAE691KACeglI+jp5kPe4MKfi9OgUdqpBBGOBkwJqfkUGYe+9xp59PMtRILArw0TKKGsUzz94Mq+9gzeeCFqYofzWu4FdjCninKO+U/sSUgz+YdPDJnIN91ij6XeCoVQcG/e+LKPgfSQX11INxWAZ7OX8M2P+wP4eerz6B2Ol+ycvxMs/pM5Cg+gMEtPNOTc53NAqwYmB5eITiP07qrCEz9pobHJosSKMkzc2ASflMTOiAFsb+yCgsG6hkBMrDVE79CspkrmoO+mm6Ygoh4zaIXUZwhQgvDHE931qqYveohixl4vGigg1bMiSyqhg/txYbK+/EeVo04N0lz031yZQ7Iyn5VQcfFfTVAhUGuXaFU4g5CgpKAQc3DGJYm0QCOu5OR/CrHRreUa/hFxtV1BcU4qZnpckqTwBZuN7dJBDU8UceVfDjbyrYvF/FapoMplIe+jY6OLLMRbY7jGXVNNywgUNRC6Ej52DSu1ELRfBz8I4h1o2eYfknVOG116F35A2o5JMYm1gFBgW6SUKt0kKMVlKQiRWQLzYQ4A60x/zn4J32gXqqfwCbzUHEPA09pzfLfDeuUxCuA72vMIXzIBx/9tfc7CFuhbB8tAMaKhiwCwTue1IolgFnkG4rJ21ZLyZ5eCGHHa7mkTIcf7zLQzSkonm0DjYJ5OdCLkJHz2OqSpWR3rhBIDzzLaYaazuQeQej2+ALGNOAMwU8WskQBeZ+tiodFyGnbA8gEH9zVxes9/2W/LOvRdgveJlh31wpUaUi5duWTFlQ1h7z/+TUWgLAP1/EXvvKaWd7683UuGt5Ile3oY0ooIwOSj0gGacMW6Hyp9pS7m3FZKYJ0ayKU9kS9Vs+V/CHqQy4H57MY703gOJUPbRQCKtWCZ9pCVStjqDvyFpQCUO4Albt7H4rvGbR0Dt2JwBFxfFMF3iXe3j4+Vn8erYPEwWT3BQ0tYVJv/TNgCb3mcy59ToPlckyXE8gTwt0VdOSYwr7LaYCmUQrnQTLJbzTXamByEbxEOLjn5cL+bygXwn78otW6Vksyivqp1X9tBzTl1mWEjnLQ8ynOlnWrppSauXkqHVYTI67ahl4GSJORAyZil30+wPe5d7Z4YHH6dM14FQyzCBVAjF48ZwXyxloZ94ojemvudGVR5/NYL0sY6S2yz3XPTtYeUxIBz0mNUlUk1soUM35unS8Bkiqchz5852oVENwaJy7/d+FsPkGbvegMvWfg/9clWU+PoYvyDIDaYF5pn6+Nv5tMFIznaU51+3Hx2OVdCDCu95vC7fj/tgqfCSxGXesbcQavQ6t4zSuuyU8MM/xNQx2e0JFiCbQguTbQl5gstuh2IAkAZnSsETCdeP4CT9fq8KKDGUlPOTX2iDRQNrnI67puyq0uM+mlOkLcOMVi61SPTqUAe8ej1A+b29OS7crTVR6do7zE9Zz+J3xJ9kILh9eMGBL9KyK5F4DsZMa8qUqBkJFGoM0vN9dj9aEClchGaxYxhN5EmzhXzoV5WQ8hutW7IfwqnjsBzm5qMG+eXU9ClkHpl5GvGEc/V4TpsbWyh3u6fgwhGvDorIpPb0DxeOroKo2DK2CnJIAy+Ecx1wllBDi5hSE4qAq5ZW5HEu38y535o7QIjKD7mo1C08NoZpcJZVj1CFqlFGvj6Be9CJfCeF55w005nocbFqVW7fBdRTo26MEcQAAEABJREFUY+fAYyFmXDqiSCr+TpIp9yR6nR+QVDgJeSl+HWKzhQJG3b04mTqBY8sd9Mb70JfpJ/mM3kFqHHZMnQbdBc0RUK1wMMRqcUtLjSj9PujnrNxYc5mtue2rIIQJQXE4tb5mNsfLZwvmzB+hhbQGJQzuK74jzqPquTIT3K64jkoLkWMkV/Jcko+T2Zgtw+Pd+l0ryQe4Y8CXOR8e7IVqa9BcF6bnIBIl92DTg+S8QDhuL1mPmAEYShWRsobxSS7gCzwvl2l0wgYfv5QrOHjiWZorz0k4qrRLF6VlBHdkKogXBc5WqvjCEeD0FxWM0zrM8NMCThXwaJLY2ULPoaiAoiGVBPir05KrwoOFFXpExhWQfNaFRguSmrChJbTAecm6qJR9XnNp8p/PfG1RfeIgitShiaqLNd/4IpZ//hN4955/wH8/8iXceuRZ/MJz30T0xLMAPaN9672wPvCf5WYg6x0fBsv3Si4D/Wv/AP2r/wAG4V/K0/F8RBmgdkxpOcF/QI36mJdr+vUgVhnCbXUePtou8PHlwC80vpQUXw37k1gCF0aQn8Tcv5rnBUvAMpfBUepISPI7VsfsXJD3cj14FzzHrbpTMAvUoS0SQUhpkr4Fr1/qV5vwOeyGELinT8AQ6rzJdWpx6c7nyknDDCKaV5BwA6ixUemaMARsBShaAmZVkW5LJXycCvOepn6YdZ4I0rjKRvD5ibfmU3iqN7so6P7V/BkC24+AgdPlPWnc3UNgiyswjlEMhSpwPMD1QnCH22Hf8CMoq85CNW0Yg1Fkj1yHlcZm/EY6iXYCyXkH+PNWK347uQssLPHzM+jOQpPMFJEXzh9He/cg3l0cwDtoVdYRwFB0Nfic7vsiAmGyM/jyyKMCDHBSEAmm85+KBs/GbnMVl0UibqJUjuKps104c9rFBMmxHNdM3uuovP8gqYB3u6cVAVYrNRv1ShH15Qre8+Q5/LaoEPhPGZkZkMycv3eoDt751PMITWTx9v1H8IdP7EMjTeB5Us4TcgbVDRLWeIHgLbRAcP/bXbB697tc8J+88hEyHfoUdoQH0NwyOw2enIaobsVyOqCH8YXYIL5StvGZMQdfz9h4KOPgiZKDT8dHkCXhyoBAPQHPlLUrfpc3LUdU0/D63hI8S8WQXYIR2YbdW9JQRRj7H4ngtrAPGu4p9qNEAvEeZxR/nNmHz+SO02T3DLhu2fVxrCipJMw7eKjSTWB0CR00OeVJnaJ4WB71s872zPUWHu0awF83HUbOtWAOq7htuweu15kMEIAd/20n8KF6AZXkwL52B0Ud8mx5L2zgmXpHCpeV1e3IvukGTL7rdhQ2dGLiFn+yEXnhNIzuYTRv3ozsgRswRfA/l/v+6ggUG/KaStBkZ2wVVXwCiNt7sbzLA79Pfne8sPP6puNUT23o6gpMTiVkmLatKsIpgalsK0BAoV72FyHqU9IbOyi+BppAlLwsMk4F467vPpMWaMLJ9gNVlTXcaAqkqI6ypc9hevUUAxkRoaFpohlDhgNenCjaJjxKP9lABX2JpBvViOTgZ3AJXHYJbHbWbpNuAeASFToa1bB0Wyo5VcMgtjTUA5qx1GCSj4VeNswFtdltUZXNQH/wM5LF3n0X3AUmqpJhESJ32dPkxmtqB5/dHrD+S97FX6+8ybdWy75eoyOO/8BhT6dJooAKjxZmDQyWSwQmze4v2jWBAVpQqAw1EDwPJNMRLNZHYs6lZZ7F6EAHpSCgEbBhqCP0vkOohDfP4ZxtjcY0LF+ThKdqeGJ4JUJDzyG9/2+RfOGfUXf4s4j0/BgDeZrRCYGmFnN24AVsx48r0ofbWYz6hExfTNon6vNS79R8u7QsQAKZhOWG2NSDqBv7FyRH/w7poU8g2NVu6Z2Yqv8ACnV3g4F35lWcqQVivHLOwitDpXQ4TddoWnLEnkLlSNyKfXXzqFk+aOZqS88bZesn6nbr/LZVyIan871rlyfNLGvkC9I4TdjOQDsvBPHYw4u/PIbfT2M6g/XTjC/CEKNhgoOVx2e36TKNc+weqvfzxWYzzZQA9/xsXt/1laGqPYLD34jBssLIUdOsLIvAoXE4yM34hG9KUfUNQLSo8Bn4Dw5939mUF2vZpbMmP7M5UJVx32TW+/p8NDiCZ/dkh/TmTR8MyElLjXgqqK9zodO4ptnA0JALkVNgmiWEm/z81VinNT6qhLC6aXtgOHpMoFqF3BTQ5SnSudrgSn0x4ur+uxWUPvN11P44daDkjwW80/37g2PshV8mOYYXB6TlChO1ImSMB41xDNp5BO+p2OkLG8a4ArUC8PE4D3X24l87TyCm6GjLR/Dx9C5sScVo7AD+eegs9ldGpJzGERqVMLrWnUZbvB+l8UkcfMGPb3hIQNgl1MeGUCCg/Hh1FTZMKRhUW5CKjVNQGxVVoCU6imhkEgoJZA3xMZT0FvKb/y6qaZkHRXHh2C6qfhOfn/kSrtX6DQCNWXakEeWWHciufycmdv475Na+VarJbR8k+0cxtPK9eL58B/aU34HOdYmLxly3fQXsigZUijBHDmHuVSfW0HzpDVARhUPAer/zfUx5pyRb2RuVQHuv8x3kvPNwhY0q1ZecWcRIpghL5Gh8fgEM1BcieUy9/TVwSMh0VJfCC0QrF5dVALh7tUV+Ypx9J1LwmrrguQ4EyROzPV8+G2/O4jkj9xO7Qk2yjnVRXzCsl3DWzkrQ3Y54szLEcjuocb6l2x+/vFUbIUjeYqZNY1nWECoYUKh9CuFAJ8A9HqeJofS5mMg/aaV5jxqNIaxUYFQU9PSUL2Z8GVwme6vo6k0glfNw+EQRh46XZqWqwEAITTQf95BMZ3HvPoHwaASP0DNOGYBKigNUamPMlsYptkrVmrQw6OhU/zyoJJt0af48RnoSmRyhukB6rK4EEY6Q6fJuPu6EQ3jxFGs/kaqSP0FzOQ+lTAjqxASUHClavIqdP4LX9u7DjvGzcDbsROXdH4Oz7ebpZ3Rp0cd6z8fAIDyD8QyUK2ePTPu/GINy7qgMxunx3IotytgAa/CMdqkLZ1jqTGiKjZ0JwcZX1c9QCSg/Q896dR/1GozdDq+dzpWlL5s2XwlDrv49MppI/gksNiHWEZWDDugqev1Er+5d3L5GJsDnHIsFpLtGNQwWFJgxEGLZzMpqTdPKsUoAiQ0vVISW82CT8E+yIpwScyxd8e5ZngSy0M+hWpo91qRqGTdwSz6N9060gUH3vWMXBlvJQIR3IvPxL6qt444zG/COgVUsbyK3zsJyrYrlpoayexaT9gAJvXnooRIMK4lm6/UIH27EJgLz74mqMAHwLm8GBxl0/3opOi0sjbkl8M75c8/shfO5r6Dl7NN4XboPG5Qi4LgQo0nckVqPG02FYoEEyXmS29tHwmMUeMPrPDCYLj0vQW6+USEh3UDf4DI89kQV3/6Ogge+rkwf5xKcpR4Wfn7/MKmA1a/FslhNz7tizMLNQxl0/fg5mVK+ADCQzsfB9Nb+JO3eE2exsVzGWF0czSENDSMTeO5TfTh3sAzDAHjn27vf6YIXCNJJGY0khg6s1MZxR/EF3Bc6gJuivXBjYekXEH6fqvAQJ8DdI5DbayugtcNF60oHjes8NGx2kCB1elWe6pBAiCYHsRg9TBDBFdT5aw4lHsHObBGdBR2jlSoeKw3SuwCi9F4KBeC64dXgBRmH/Gy4KIdUWe9vC7fJnHDdetbLoFONk+Di4vlMr3RfW9cI3gWWud5Cud0F62z/sn0afz75Ar6nd2OPOSAneykSeO+8neoJPSbXdT4+KEbpc31ZT3UmkQDGYh4SY/WwbYHHNtZh4hdeh/yt14Hb2p5SP3577HF8SD2I8a0rZPp8zIw5MgmPJo8lPYwYxXe8mKE8Sm9YNNE7KxLwPCCt9eK2Wzz5PnftdLFrzTC6Eo9JxtHB7bDLQLJLgRYGQkmBSjVK4SigRwUEKqs4mUnXcmG8OdoFhUTcYWoTE47vTl7TN7cVl3oGCxQZud5AgHuws2s+fmK5YndyDcCT6WXDrdibsmW8k54O7hCaLvGHqaAromhEAZ40Oas2wbrvwxCqKt2CPrBTo3ogXZZG+NNY/hIlIgT4aKilhZrBlag1wDmg9gyOi4004dQf+AeAdBZuZwLlFzNfwsUMo/LB30P1/l+bZuQjcp6rejjatBx90Xrq/wam/djQ6+RYQ5Pw4JQNqAQnRAoKLWg5QLUi/ZhwmURpkYvPbw8VFShURitXm+y1JMUA8Nnn0xQ7VXtFQWvrUYregKPE4YnQJePYsi2CaEzH2clVOD7eAeGUoVanoBVHaYJSQLYao/FCJx4Nl7qqFnD6rM+1YYMnDVaxKvV8nBoYmYIFHTIueheTb0Ilej0q4S3gr+4ctU7yewTwFON3geUKt+Zm12QWrdIjeS6HGOWT4C/7lhqGz8dnXlttYu2ylfAqlx3mcgIori8fuFqtzVxO4J8QXiXmgmuXVaF2wv095Zv7fl7kISOCI43YzGM/yyG80Mvj3X1vd8Fjz7JlHANzvDQVafWgGkB5gpp1/kJcFcYdyWrWE6ndBo1vbKwQL+tXWqn2KMnY2SVHKwig6f7uCEaGGiGiNDCvCIHLictrgoZRjigzyRRI13uYu3M9ANZ9Dp/yuFHwLESFDpaffdcLND9I6ZA1SuVG2ry3EQNCaSBK8uw9lVWS5++yh8FxSwsRBtQUXSCkCSiuh+6jXCdcpBuG4cQv/vKk+7jAmW9r+NFXVRwjM2Zcwe727Rs96vf8/FWanRkc8xtn/hEkcwQ73PuKfhv//PkhFEk2vq0phdUkgzHPlVZKWUDQMD+sF1FWyUAJMGhOGniXL2+A4N3EDL5P7q7ie/EeZIwyBDUdDhcvGnhtYz1Yag9l4+CzsrktcfiBcjNKagi7t/chbhTRfXhElt3QoE19poXmVB8qio5CZjkiFIGi1sGI8LN7KFOM63Y9gyQB/B611nAoj7CZ5mjnVR6lQ0MfkmFqOI5AMBeal/kSjk4oifHrfxNTm9+HQuftCHa8zwzmqSZSXY04Ze9ATm3Fxtp4NZMHNO6XkwTek6PZ9yyUysVty0QSy9TXo05ZC77G3efRR8D7gPsIGGhnt4TTgnXnBdYNpNGi3oJyppWkwwgaUgZJkQUMeo9gSN2LwqomWBEBV1cQyl4Mjoq+c+DLnXHEH9tnKqV1o7S6xWGpvxJkf2VUJrsz1IiI0MH9AC/sGHEVVQKRT1tTeEIbQrCIxhs59pQGIIp5yONk2laCy16EwnAJ6G0qV3D3iRg2HmqSMrmnOEiSwG4usgnANf3+PdKcRkxMQLU1VDMyWy8r4SNdvEEDuqNidc5BuOLgyf155PKz+5e46IJiAF77eXTkTGzssVAyq3jozTaSftVCftDPeqgjhs2hESzTsoiFHYzTAotLbQzU73aps2XziTN+mGiz7RsukwYLN14idZkhrw124VRQdRhP8pAYrhKgfgsqv/SfwQoYPa4AABAASURBVLvXrXveD/Hmd0H5+Y/IHe1Y4BkdAuGtW++RD6Qe8zEFablcUin5R1tSOGfDDniJJJnozk4SAUphf6zTCmfA+ZaOr5KfyRKg4fRn8rl/Jh66FNk5/Zy8u2zacgUMLglhPHHmqPhTcNYXUlGlXXq9HLvc3VgYVnM9BKEEoSPnZbrzkeDM2bnnuDOvptcDAlDNSSQMAVcR4OMb8qXZgymWcM0Eo9O1sY13yDQWTXAacQEJuj94ZhwDxQqCi3ed/1vmDOqHk/jQj4H3Hx1D88ARdBWOYevQKURpMNZsElDCKmKrFVRbBgjMFkiajfhivFlG0zFVxHe/4eJT/+ZB0Hydj11h0L2fwMTvlU38Sf1NeHOkC7ecKQGZQzi9YwjZdWWIaAT7IpvxJf2dqGx5N9S6JHiCy+A2g+QM5kajkBNc/kNRmdgSCPO+5pZJLF92Bu3NZ5Gi8jBIGGEhfHgE8iz1mZPCIMqqmIRStREb1aVTcbSKfV8Zl2A9727j8Hy0zZ7vUN4P9SIR0rD57p0oveN2fF9ch+OleqTyGdynPY8t2VPy2BLzVB8CFXvsINKfexiJ7z4jjzrhRKodjaxdpBhUjgkF4ZyGsZiF3bdVp8FeftesMpECCdYqQtS7JpPuRXFcCQeX6rndmkKdruHnzlRRohWhfWUqRIo8OPt24EgE71I3IE1A9/Kqjv+45k75zj+S2Az+Y1lixaezJ+DWPuUvVcrshM6QLzDwxK6w0gZP+nhRhgF6ZuBJ93eauuVO8FC/Cq7X732PK+tDjOoF87C6mWZrmgqME2gft0IwxuIoeDaOWZNgoP03Rh/D32ePgIHsCk1R9myIo7xpBYRsu+dgUXPLq2GYKQu9pTxiro4tVj1HjQmlEa6nkMA9MkuIiQz8AEW1hDNaCt2nNklePk6GDXpIYHKqDSzD6uUBdkKaHjWog7d4neBzuHnycIYEf8lQIwEoQC1OHiezWhMIC2CN7jMEf5Tp2648ZQAoThObxFQY/VpIJpBxIqAigJ22pH0xEiwwclnP5QsA9+X6bKF+Lt9c+zMVTzptMaR22cRLpGUYUfv0UlpqRDnxPPRP/S/o3/k0+I9RlWP7wbtyZp7HaN/6lhr3S9DCUUCrvUSK5kFeRSCdP884UdeMYJcKO7EaIEGfdbNkskbwA5CoWBCKB1G50H+nFKCvWIagOqLmTcmbSqtSXwrhL8fOnVovWbP1ChqazsKuGrD0NdLtUiQa07B2Ux08VcPT+ZvxuPsW7FXfhgPGm/FU8TbwYlZ7Fz37pSIi/5k7RdPUXsgJuUFqnGSYrCsTBRoIWJGGSxDLWI5C/LXgHezZhg9gqvHXMNHynzHZ+BHwl3Mzg1dM/1nNyqmZzouaefG/buTvEJv8Gi3yfQpsXzRAzVO3/MVG12iuuSxNc7SEZBQEckrDVSLB+fKO6qd3lZJ5RaONKBrycb8NFaeM6bxsvc6TZh7rWQ5hxXLCTDlk5rgjma8ACXDESm0HIkcZ7HgPkezCdlZGnBo5GZzajmQyXrGb61XhWQLtnn4YocL+JcVbptWxU8+v5mEOK+8ReMu9kLu8uby+/aAC/p8alpmiUcCgri8A2HkhvkEJ0xhtgeXPmYkdq05I6wZjxoNLF6AwIGDnAV6gCKVrjgtoURp+2euO86uxQU+Dx6NArmB3ljkUFQhrClTLhTMCCACpxinwnIOM8mZA2jypovWQifWqiu2uhn37Bb5Fz8cbN3gDBj8jy5jttOggCJfi42QYpJYRXIIEfBwuzYVE/JmKheAomZSu483tDeR6dW59ip8aOGNmpxOYOVfJr7UxcRPJfV0OWDbhcowKHfHa4ruWF+DFgBQJN6qjon/G3CJKMhVHarTGsHN5L4Rr47knsxg4T/MAuIjXj5GMY2Iy2wkKjrzeiXicwSMX49kUmtadgYgXwC8mHCoSOF8bFHDxZQgVHj2KqVXguh4KlK+Lua6sC/cFd73Wwxte58r6PV/sdudmOFUNoliAnu2dj4XGdgP1YhtaxZ0w+VzR7AHEJvrQ0TOMDed1rDg/iVAVUPRGaHY7aAUAUSOO1YlbUK9sl+EL6EcOZwlspyQUAa2okWHGTWAd78wFLQJ4DW0zPGYbXfJnF6X/HGuviAq+fNmgX+gDIlTnPlS/ETHSbbh4WO3FH0/uA8v2f545IPuSTSOTWE4L9O6qTRfy3diKA/p1cM40IWTpiCtFqLCRUMeg1EUu8M0xcbtkBU1DYmU9VOEhP2BfBHTPCXbFrRMTNgzLgyZs1NF8Y+2EkKD7tx6empWXkNIEzSS+jhFsvMnFwKZnMZ6YwLBw8OM6f25YrC1WOqk4bo+dw1uTx2DXJ6hvpBL1PAhhocuITT8D97f5M741lAr7hsulWW7PwDQ4fLnhX2F+rTSMvFJCheaE5ogLe/frgEQKvHudv3gVm3ZBLFt1yVy6G3bJxR+l/yyQfXErNyqD9dSOXVpQ4jbMihNWajvcbYPmqtQbKOU+JI79X6hFf+GKeV5VP1slQNPCn60H/ll6WhZQi7HbUUy8joSe0BV/9GLsNXCUOvBn34tNBiKiTaZd9F6ejqa8qUumF6kdTyEtc8hi57gjEgcEYJgTMGn+ZwsPlitI6CJHXN7Fu6IZpOVQqZpcysJvkgYKVzgYi+TB87VfGe/Alw8PYYKEelb/cKYHXb3LcP/RKt4wUETr1Ajqq0MIF/ogTg1gksZqi0BWjneiUg+lcQwKySn7G9pxWKgYaEjjSKELE4MWeOPl9x9WYI0IMOgeEQIMln224OKX8434hUwO5Q0FDDUJlBvX4Mnwu/GkejPqomlcZwjwWe28E50nvJweH9tx/9tdsGDL9stRK1bGsWHdYWxd8STeelcFvNucj3PhOA2aYzPwzpNCBvcnSCYYHhYYHLKRGUhgqGcFvm9twGcmt+PMOQE1VwTvfpNhNQ8Dx8r4TGYbji3bhLIZxnf3mDiiL0Ooqw5vbT+P1skBcJ1gxbuoA2We7pcgr51OgAHf7JtuQO71uzDfVZ8GTKoPsZxO4mEY3VZ+FlvRs5ChyV+EAHmTKlG6fpb3FbUUt69BlCamr6V3nC44OF3O4Vg1A/6cPjj7dvC4gQjV3a1WBKF4Yjr9+2OrwBNsnqgd9qZ8d48qFZk2mPSQpPPNwPgfTzwrJ+A8GedFmvfF1+JsNIvn9DG5y90cVqDM0zRujaiIkEe51UNRB9oG2uUu97+bOjwNtHOcnA8/rUHwn1M50QhNzgQcBxAhHcfVYQhaNFjhJLAmXge+phqqmMq2E58HvdLHTtDzPRDl4wDV7yPKVlR7VPDVttXXY80Clh0GP6ZwiuwlVdAuMyQ0vy3aIt3+LdcDnshKC5Exp0wUsESj1LdSu2BD8H8Gpyy2XV3V0O4/BybaMUVtfNIzAXrWtvDShG6ekIOu0Tmf6szd4Ugs8u62PfzWhIsjCzzbgaon+dbMmUNKxyUQL56SXCKXkfo0IeFVf/Sb4ImocvYo1Bceh/7wl2F8/pOQn35S2+Yd+jxJnQ5zBQyMtfOOfY7KIxD+QEMnUFuEYrdxah4VqjcatacELTZwlRdQ4ORjCKkWBgpFcN8KujqoTA5l8qhT8wRGReEpBqIxhXyWdk91eyhPpuCoKk0IbCTqe2FZJia6lxaeudZtjFKaGgp5GweOmdh3UMPjz0dwaoCQNkK1kvVUf5hxEUVrXwh2im7d4r9vBgFzoybYNpUogutVo7q0OrhQUp4IXeRlm1T+5KpZvUQvfYfyj4OPqGF5hLlZ580AilPr39hxAaVUh6WPReOFNCyRuKrfH6lLSGOJUc7LFgDuruKnNy/TT7gjjwX5eEk+hV20pM6E5Qwe49nMQDurAuF9DKYu9L8xzPtSVXw513AgN6PNWbXhPtTg+3EaWtw3X40d7m4hi6d/8Fo8+cN7cOBLUeg931p0EcmhSf7+r7XA8QRab1awfL0Og8Ze3v2/cT3nFjhKQySb6lN+vllmYDt/4bTR9PvkwI3dWfUwok6G+f7jozBEHnQnazs2ybjgndpEnSj5Tp4S+KCyWfYdvAuW5QxylrcI+/kKewqUsl8P6lc70o8JyxvxAzryhzTwH4MaUQ9dDUALyUK8k//7PxR44mnunYHVKz0YE36/a13G5ofgrGwtr6Aj4vdNGeoMg6NkfmFlC0KqHy/n6UorreDHnTfs6ai77dwsmSTwOFZbDOH3V633y9cY98OvrQtLtv68RfMDvyyPVX3g0ysdQufuZmxtOk1y3CSKNA8QwkO4Louj3hq0ZoWsO5rRhJJmoj42ArguxrJpjE7WEbxKvJESVDWBhS5Nq0NV0WAS4K6w4LUQ4xV2byOZM51eOFK3YwWqJJQKkjXC/U8vzEg+URp3N57IYNmQig0072gdtREbPw9j8gz5UpGE6jA85Nc3XsRiR/9YmtcjhCaST/36I6BBz6vsPa2UGoDu1rdOu81nEDqN2ezRewygPLPxpSjeVHI54XleM/M4mZlhPcraSj2BVXodNqRTsk3zvIL5me/6gVHWMPOM+qdjt+FZfRc0qhMNjoWo7UBzHVpoG0cgF8pA8xD+Dyl2jqTjMJQqwiUF4xmLnV42NZ6xESob1AdUoIZiaNTyaB8NoTJVxJP7aXCq5URHVNYBk/qe5JZRXN9Qj7TowbBdxJ60iymDXucE5GXXx6XOxKNOe8gugbpxNFL74YUNdneqQP9jAgWb+gWS/aP11Lmzx2UqpSZzX6qsLzPal43dye6nMY7mYwUDdfXtgOn3cy8mA17HShlM2/uw1C+XKGeOyCAzv7Z1G9qkG28SUowWjCS3okLjk6Mdg3eKQPfB56T/q+RnqwSUn63H/dl72nLsRpQj84OHL7U0eJJcit0sozEL+xacCOg06BhIwkEBfAYervJV7WpGcdtqmUrkmeNQ8v4kTjrUCAunbAyEAjYHytDrIcii6hOIeIBDlqkyMF6w8U9n+lF2XPJd+n3bLS5u3O2Bd3hzqLFJC6arQKGxUuxScLhpBAYJuveNteJ7z43j8/uGcGdfG/5TdwJv680jYYTh7rgO+1+7Cf+yYwv+YtsmfGH9KpwJmThHmXvMi8ONTcAxNfyw7A/ag3XrcKraANOzsHYNwLt9eCKSOQf8h4SQwNDxiRL69j2B3JYcjEQCDYnrUa+8Ec9Vw9L/nqqCr35dAZ+fyvletdLDfQS08y5utr8YFVKaoJhJVMMWAVFDMgqSLcBxctzBpJDBfd5N/72HBfb8qAXPProTz/RvwDG9E3Y8jPXGGD6gPYXb1k3JsO9OHUa7NoWyHsL3etvl7vcM4XgsAN91jwr3vp0o3LBR1guuGwysV1a3g1X+li3IvPMOTL3tZjDga7UuLKk3N3nQqU7EJ3SqyzHM3HXED8N/7ul6KsySKutQjIRRXKWLd7lz/utNDbtHHPCfp+4p98vUgrNvc6cTUOl9BvV9YhLg3V+naa5wX3QVGORwdQ20Q1Y8AAAQAElEQVQVmkhxwEbPRDgckcD9X0y+gL+v7UDfZTaBPx/t0uK4Ldwuwz1S3wc+7zzcrXHQedVWE9A0D0NdLlqLaeRyAAvjnC7/8dJfNd4KzgcH5rbIYHD27t2oRnwBqlyfknkRJF/udprR1hAFzcMxlsxDc5oAAj+1ch8HR3zom8irAme9NAbP+mBdsnacjGQgUqj6ExvNHiObf/MiCpvGqb6s0kJg8HDKM8ALDZwf9ht1inChwfPq2Ao+ToYNaUqPdQZrWb+aqn6NQIw6jaaJRpw2qU0rQDFqIUmLEktJN6gDY7XFgyBMsMNxg5EKnKS+n4R7Gx6+SAtzDDZLxxrh5x1wfMt1BmXEN14W9Rr8dyGyVPAzQqovPAHQpJJ3jPAfotq775JnMbrxtOSy7vtV8G4WabmC5JGy36+Hz51DuH8AJ+taMJHNTqfAz5z3cnCVEIySRu2bOgJFgUJlFCoK9BcqaFN9dgbez+aLiFctqOQfiZvgfs73XZxqlR4MneJQQDmmoKvhMEALV3laHO07Tquqiwef5XvLXS244dZ6bN6WAu94X7E6ivauGJatiGHVar+NzQowxzJzd3swfilOFoV8QnJOpYsIC02arzRhMNshgFm4ZQIteheMXnGmwLva+Xg7ZqpEr8dk46/B1poxP+jOXLOV5hCYRE6WuYzo5d0e1QcOIa7iLvcgbltv4qR+KlWU+jbL9DuVypQ96xlXr/IQjQIMtLNiWeTeu90lt6lZkS3REva7G+RrOxCrecCpAqrhqyAaI+ab2M83XTk6fMAiYIF7GIXG7RV45Au3YnLPPhjlUxclotojOPmtCvh/crQGgdW3zW6Xu3a6uH4n9Vm1kHzc3ahTwsyjYoLdqwGIW2NFsCjbqPrgYeDOerBDM7bsQtzsPp/iskquqfEdDIMX75nvq/mz4Lyw2Q0rrCEpXISqoH7WxfHhKNSCQHKvgdhJDYUxgSFaEP6xYcNY58I0SDbdDvDCjEHvh+Vd1ldRvTGH/fj4GBYs8eKd9swqHBCopiCiKvIYmat9lAynyUopMwUGQ0XfUKNz3ws799QWQ/hcbTvmsRNUWihgQ5oGHUEG1dEwZubIBDhuHZ4wb8YUyU566Ulcf30FcaMI4dpoSZ6HHVIxle+ETs8eo/ga9QRsapuxyCSFVzCK3ST7Uj+kuAiFi7D1ZnKf/y4Lk+QmBaZeItnJkfOQ+TlfXlePALGK1gS36kDLj9F4/9SCGYid/R60agWR6E5M7PwoJje/D/kVb0Ch8w4U229EqWUX8jWMNZ3ypuPREUWbegcS5S4oJDvqiEDYoEUkgeBSeGctWWbt/ib73Fs4VIdDEcCrQKmB9HN5lmrno0p/eeSH+PDII/hs7gSCI2AWC7+nNCi9O0n+D8Bf6VAjlUauCxre1NSFf2i6Ex9PXg/+gmUDyY5vHsxCym4JX7587NkcDp0VVCYe2mlhqWEqBMdTYGkOzXW74dX4sMDl0XyCvcLpEEKaBdPSSd6/IM+z39VWU8MWtReBkOmh4xcaoJlRdBhTaMno6OvOYf+h4nQW4qJLmse9A3hNeBzr9AGqDUNQ6Dm+udGRYwr3oR611fK6Tlgt9eC53YBjyHArdV9ny8CjAqWcB8/yoAgP4boKOy+sPOI7sk9+HTrNRLI1y9cww5Bq2uMnx1AtnKDM0vOPOLhU2yHGRW93vX8ShOg7uyjffJ4KheEz4Lkc3RpwL/kSSamJ7CTJx0Cs5UPIN70ZOSOOiNkPbezfYJ39juR5lfzslAD14j87D/vqk175EqhGtqAS3iIntuHiwp+8hpUmmXjOI8RXmq4uKW1fI8FUtVBE4sG9EAR8zEyxUQ2DwUN2O1adDfjoRj2g0EAVGyURyYNNraQCBXWehgMTOfzPw+fwzfF+2H1DMHr9iTrHs5AK07i2NphkEJNWE86MqIJNkTTWXJfCM20DMGhq8brxBrxzshU7yyEsHz0OIyTwo92r8LHtzfiz5lb8YFkrDixvg6BBGYqKEw0pAktHUPIETml1qBBQ2FIRyA4kwNcNiX689jYhJyJsf/JpBblTCn5TVPCLzz+ByY0DyIZNpOqux0ptNz5T8AXGW10Fzz6iyAlulCa6b7nHlUenxMiMl3iZBNhyFNVsD2vTiuQN8KSQgfdlHR443camKlKpYTTRgsKG8BTWX6fh7e8zcRM9U0ItI/7w84juPY76/h68rfEUtt8egmFACvYcnnd2cZ49iry8sQtcL1gxsJ6/9Tp5lnhlTYcUcKYzsoghGvdgCoB3uDvCxNy60+3kIMoxGFRpGmIAJbtIbC/dy9/lruH1fR4sy8aPCgNSkP6vxcdwqqUbWZpQ1x3diWPnr8OnP6eAFzEe2SPA9aD/SESC6JMxHSotIlmehyS9998YfQx/nNkHPveTc8iA+G8lt0kgmu288/z+2Eo8mxrFcXUSKsl8waSW/Weqm0LUeMgh1+EgXY5jTd9K3KuslekycD8xCUydD6NjshmuK6g8J+S7OLH9Buyt3wq9MYzncr4wvUtvRAOf/6h66I5kIYrr4FGe9eJphMeegFHtR1E4+LK+Cc39fv1v2+anT1mQt1kfhUvCvWcXSWAuSrfmJr/O89cUaQLQW9UIveMIRlwLAeg+6pRR9FIwFAWrNSGFKA7coTIF+h2P2qBvvlo00uohHtcQroTxVGodXEODkXYRETqWckUVTbLxbiVpINJt5yTgwgsgc+MZp2ciFmRcDw+VXDZOqz7bo/LwMLMspj2XaPBCIcmpjA1KPSDagSekkXeMuBt2gnX7rnfC+sDvovIf/idcmixLhkXI1OzsLsLpe5WoCjxaBrxSCVXXQYVAcr5PhZOQkxNi67ddmhjaNFkKI0K8XLM8AptVYmRgvb9UQT3BC8SKDgKL+ssV2JNxHkqQTtcqCnteShW60X1iM8UqUIkIrGg4CcUEzp69EaMDHdArvZeKYdo/lVKwgkD2zdvj2LG7ToLvt742jZvvSEMzFs8TD5lzd7dzxBb/OVzFRJXA0VK0jOV6nJ2vigp2uavO8Lzxa7Q4EexqZ3A+m3oP+MgaV61Drv7dWArozkClIFDfoTCe8OvkvIkt4MjpshcvRLB+pZUgIF91psDAPj/XlY7/WokvIlRM1ZVkdopZqvDS5JNYFNNgMYOqN99EDdb3umo0Qv2tagCMZzLYHhwtY6YvTjJUcytPXOz3Yl34vY+dcGXw9G4X6nIPlXIE+x67FYc+76D6wg9Rfv4RTHz/UfR/5Rkc+cwEBnrboFBZbX2XClMnQQWzrw3rPbzhdR66ujysW+fJ8ZY5Nhgp1hDsYJ8r1/TQOMEMAR+bWXG5FIcALqfQjF3/7LeQatjhSa/JUwI3Ou3gxfwxtzSdF4X6FWZQLQHVE6hLDeH8eBtGnlKlrDGcB3405eAJxcYtr3fgkmwBulgG2bEWclPILkqD/0A3WlAkyOlQdQpAdGK95O3WugGlLCRva9h3SOk63nwVj5KRiRFRa4D5YKxANkjwkg37K6OszVL7yv4chM955vPn+VnVCqAWBNoo34K4FUvFAcfn2y4ERPpWnFY6MG5Nwqtz8dYtJEdrRXR1nIIrFBp71lAo4KQyhkmYyCpxpKMjEE4FvbntyOYjNFsBjEgRDRoVLua/ImoIrqLCpAx5JGNWqv67xzVw8c7WSo7yXi4i0v80lEr2olzp2T7ouT549BwMrnuqCSfSiErjJpRbtqPUfhPJYVEE/42Q9pvRrHh0N4yQaABiYemu0XuRBiJiZIAoyR21zQfSMg/heugRQOq6eQLcLx8YDKJkee8zuePSygtt/MfFfzy5DyzzfzV/ZnrRSzLMIM/W6tiuUNMM1wvG/Hobk9dXpx02mCkp4/9Bv03yjwf+s1T2PHC0iKefGoEOCx0lBR0jYeg0ry6nwoh7DsLqOMl3/kYM5p9PBW0zVq/DgA2tqiN3rAeYs3FjvrBXym2i16/HdStUaEkF7e9pormBgU7bQmPGwHMHsgjOcw8pTYQeGHBRRVQZxp3RDN4Rf5rm6v0YSZUwZQCl2rhReM0mZN+8m2RrF2OOoIrhoJnaD+d74ohArkdgSlQRsjWYahXh9jB7LajUvT+E/qOvyq9DzX/4Q2gPfxnyCBQK4RqLhyWWa/LmL5kLIDmB5iUiE4ezYcdLyicD5W48Bd71z1/UzhuZVYX6zMNQakdbokLpEyO7kQZ7682sTSu3oU2axajfvtlipN4AtePXUY6thqpXUFf+Lju/qn6GSkD5GXrWVx/1KpVANbRFxhx8li0tc0hMLJcuL9exMpxY4YYNcKIRqIUios8cY6dZqkuPS/vcXcrCiAACMEUWqgeo1ErKjoblBEzrYQcThEQ8fDaHvm8/jtHv/hj6YG20xNKusdrurYGYIMEW6NLi2LqpAXs6z8PVbLi0at1ZPAYRKuLpziT+fl2HBL1SigDvrP2DpIpfGh/FWs3DSr0eqfgIbB0YFxFERAH1+1RUhIb15jh2EBgpKhZ4BzlPVDmH+/YBU9/uRmzTOVQjCvaEtuHpygYC1TyZTpdH+XpGAe8Saib56v63u0gnOeSVUWaoXUZUdHqlPpfw5PrO2z1wurffNYzdr3kGt6/bi1t2VMGAPPszaG41p+W7DR3xF3F4p/r6bTrecrcLftYAbJ8b/0uxczkkTCBc0iBKUfBElAXVQPGn0WbWIAFLIOFXr5eS3CXD8k4Id207dpYM3DroYJJAdxakeQLbvfIsyqES1GoI4YIPQPNn+PxOOWL+cqE8EMFbmjeinhYIynDQY7qzdqD/ZcOtuD+2itlB1R58/uvnvqAgfXYZGpQwvtN4ft5d7jzZUyYENlQVcL2tkmznLPOwc3gNlp1egSOPR+Sf5fICAIP/5qkmDA0DnzrXCz7CqDsTxvloG9y6MkpVGzFXRzJpyrZiUp0t6TZG3AZ4LqBV+hAffwjCCePr3nKMKiGkhmPQQkDjWhUzL53ccrlWCKrjenlQevEiChsyk0C9AmpDAsu0BuS8dRiiSSKD7gxAlFBHAr6CG03mvqDaCaRnW5/NdGnKJt6DhwUtkiyNP+BqatOk0emLgvuopjoDS714kZF5g92KbO62sqwhOEpAWmqkz6kZSOMjqGbucj9kkSPda3QiL/L2Gtr8kCy8siKbFHjJzAIrC8LktOhd9Tw8WHLxf3Mu/irr4vcnXfyHCQe/3lvGv+WpcmBpFz9fkeLisUIIgBXoOlHXAmXUryclqjNlVKBS644QEEPdMfQQl79C/ZABoQBraWHmAzEF4XIJUFxqd4LiUpBMGxTbpW8G2UZO5GFVTNiGgFJXQEeyBzBNTBWbUcomUR0bwstxHTyoIBgDWlq86SSLw37FyMXL0i2oV9JyhYllrpEx6qVTUp9Lwnl/caYS3oxs4wdgm53TLB6B57klgO56lcqXQtnGhbBkXfLtCb9DUJzKksNcDqPiZCW7o9RJ/WqTVyr+RjWCYqQq6bDI5QAAEABJREFUk3fyOanPJJ00fvzCu12wLDPT/WqaGXTn+L1zz6Oh9A/Q9SzCDewyWym15u1WBFR7Alfi4uNkRvsbKSqBrXeEcOf7Q2h+oweLhoDe3hV47Ju34IlvvQbPP30jjh/dhj5y41ba8ToFqQaVws1/c1u+/RYP8ZhH8kteMgVAO7flBhrXWYZgcI49WWc7u89dlJ08KZgF8S5Pgu7ScglixIBgl/vYcwKc5swgLsnFgqKNGwpIQ0P7OAqVZhjjKgG9At+cdHCeBn4+4ioWBRhID45S0acEDBqTNm7w0NzswZhQZNSVZr/PkpYlEJcFf+ITNhG619PitqDC/ZU17QipfpzkfFVuTpPwaRAOiWGdxhFK5bZwK1GA5RBpqBFePGdZLyp0MMjJzk7MZQ1aXiCsUV65MF2BqZjfpvgLkfuTOp4I3Y1ukmkKhUPQ1y7D+297mMq6F93KMrRZYWQp7QfSz+HHpRMYUpsQj1M/RIUwNFCF4lUQM6eQUVIAyVsywXlIRACTSgJxMwtVcZGfATbPw/6yOrkrN8Eq6aiM+X1O4tiXSYasTOeBFxeiZ78n7QHYLi3zkImMkK6ppNRmEX6f7GAnPdag0nuRhkoJyoAPnruN/vuV7gsQz4xInxezE5cDcl3588wLbAT/dxfvQr8vugpcd7gO8X8psKzLfJKpRtjO8xy2BvWQzUtR4sxRyeau2Cj1MyenYJCMtC06iraxkJTf67aqiCdiSIkeqiNU/omU5F2IOGatHKmvTXZpgBDIOCtQ2vcMXo6rYnmwx/z3HUpQ+6JEtaSCxjc2IOQoaC6qSGaB5w7myQe0uBDFcvXt4P8CqFe2o5Xal4EKIsoEvPgkehMeir6IKfmZjDkOXPBzWujUYuCFzVHqK9lPpf5ToSYeTZQgwn6dYPf5lHLWL3/QYg2ovqkEGGuPfctnTSR9/SeMiuxxVBSBkUoKHfXNkM/2Ep/BueF1Mgb12LNSn0v0b34KfORMcLQlL17on/pffvulsnW2zQbcvUZ/bqOMDcyKyjWWwWn/d7Ca3wBNV2f5vWr56S8B5af/EV99wqtdAq7qTziDz7LnS89EkoCKKEF6BZS9i3dpYImXR8PQElnhkeTNx1Owbp7uR/j52ZN23lnDcR2rZlibVoZCAxEJ2GUCvhuqOTCeVrKATUYKf7RpLe5b1oTl2SJihDdYJQXVR+fvpKcjnGGYIPA7UdZoKKXJTnYCn81QxOTfRaD7HRs68K0bz8BtG4SRH8aEqeGfd2zG7lPd+MDgID5Bq6W/nJ2EPeRi7wENB4otKObrkawfQzzkYpt5BrtO9SKSE4hGgRu7/OdSBvwJIE9Ud7ZNQc1M4olSHY6e24RIegvO2dvwUMlDcKRC2ykVwXEsd95BIzvl70reptECT1VR0jMQ9DyLxV3CKBQqs3DeQJXKfSZv/rbrwAsq7MZHq/BRQmzmSRg/K+tsv9KqIQUCXqmMcxomCQhmQTVQ5+wStKIBnYTAJuK70mnPFx/vcq/TNXzkRAj3DK/CJ+puxV+bu/D/6wXep5/A+0Kn8PY32Hj/e13cS4sRvBDBCxIcF591eovXiV9w27Ca6s2bnDSCo154B3owGc4XgG99R5k+//U5ktvfKFZh5i73uud0pJ8yUP+YgSSZtWcFons1/O6hEN7abaCVJtI6BPi4oJ4+AQbzuJ7y8QBvrG9DyNNxjtrbE8crkofzd0wdhmoJ7K40w0r6dbHLTFD9Ac4pCYotDKU6DMWtIk/A1yP6MjjjCpryMcSaFWhhzLpCdZQuTSYJW6XJVVH6pbm5G5D5UW3/yKUGavTtehMmxQb0OAaOEDBdAcWpKJh7hEq9AnnxLndpWAJ5gTC+v5/y8N/PA3+VdfE/p3yw+PcJMD5U9bDQ1brOT0yzVJ8lujCvz3CBNqh+YZQ8esia8zErI01dWkLqAaHuABOuH/ebw0I6cz6lgQgD1KRdVBbsdjnKrYHuwTnu6vOPy+C8s10aLkEeLnuy7zpoeeDz14M8c7Bj5Mb6UpQ8j97xIHJTkp2f2COQ4mBDF1UM6ujJdcDy60sYIUQcixZtgBWrIgC19Qi1D4969f5cETsNgdOkC8VDS5XCkH8qrWMpl1odQd+RtcQqUI5qaIp0I0SvrSQ6UdQoLfKZ7PGIXt2b/3gwOOv5+l1+uwtSzE+FpHEinZd6UK+k5QqT4IgX3eqh8vbfQ5CEVukBu3sE+Cz0PzWeCGEu6C682fEE56M7elMQ9eXpii//CHfy8sItkVu1aCWSeF90/ijsT8IdUTTk4yWZ1dx4TOpziVbr9ua6Xy17pIaDDR6w8MMH3omO9m8h0jC7/nDaAQivDf8Qucf3IJR9kp1fkpo4VIZLi3zJLgVqyG/zm28wccOHNajLPRTCLkIdAuZ6ILVboOWNwKb36VizTV9yusHiK++ODgIFi6+BXLzYomyxdtxO3eog9NL09Gb/efi4Hq2gyUCjBMSxwQmpUGkg1glUYXu608SbVguSqYCzWQ951wMfPci79dmfVXBcTHjO8Xb6mMLesOv89KRlCcShxQhm02oA8ZaRdnzo4AbUl/22zn6XpS4jeS3v55mBxeCYHV4QaVDC4IWP4L1w+s/Wdh53anG2SmXVnlWfUhBRVfBYpjk6RuPj0j9PgG+jJnBTNIE9+mswRuOcWj2MbEMaBT2KMWM1Eo5Ab3wEgrKytzICTWtEKEJjGc2/MuM29cUuGuJjqKpx1BOPjHgewqJDTvHHLUGzv/LFTWeeUC+Pk9u+QiZUHfXgVhyo1Swi/U9LNyahoeekmxXvQLllOzstqHgRgz3T9bNftFLm0gf4qwOrzmUWaLU6FSzk89F5lwINVcKhWRDwdAsSxMtmZFwzyeHqOP5q8gUsdETMn2cO0Lsugeea74uvAy/Q8Gaa4AgYrl9jbgkP5P1FgCBurmNc7/iImLkLbgHPfLogsFHJ0dzTDIM3TzBQPTleRrgYg35mJcnfOppie2kBoh+wbYS1ccijZ+aLbIYbf8XBVi7bcJOBkFpBqKxj8ASh1vOUC/NeSTUxYcOwPRiKhWhnaDrq2HodqZtSSKol1E3G0XusgGCXOzOFlUbw2f6b9Dfi8cIGRDBBLcJDT7pCgLtglmnVR+Xh0CTFFGV06QkMPKrAqQJ1azwoMVvyJXixQZrmJwofd0LvgOtW5cO/j+p7Pgb71nsR1Dd3pb8IMn/oa8b1ooyUi7SI4LnAmIbgOJiLmC7TwW1fJUPIBYo5dUh94YkLwPqGnXAb2sBlKus2hZLlSHWcjNO3l0j65nnwDZZJrdS9qHR8yOd5lV7xEhibmEK5Qg1mgZgHRybgkhyxgPdVc1auWsyvRvwzUwKO1gSe9Aq3TIJYecHnjohG6VcADbDSdHlk2H0S3c63YYHQjSUGdWMkpO6mGQnxR144PWs3eiCkBqv3xCJvheBUV1HgmS5CVpbcPFJAjoxRElzvaEnjPzTUYVmuhI4MLSCMTV0E5ssA8xD+w9Qmy0D98EnccnA/7vjGo+jfd0oeecPg5ocja7H56fOo0kTrO8va8PNPvYD3HzqBTU9045mHivj6v1XxyOcmcWgyjcdLK/CdoRQOHlmDwXMEyJxagYlTTbC9Cm6+0YPoTMkcKOcGYZ7qQ/JLj+K2849jw+rnoZhVnB/ahFOP34gP0rNGhJC8zecV2GcEDAIgGZg1lj53k+GXQnREYYZawVelPMDagqpqTUAQ4B4pJDD3bHV+t9l7b5LnsvPu9gUjucIecucUFVf7ZAw3hrrAu0QCdXd0FeqrIYSEguhlgKEvJYtcDtr6ZWiqWthMC0v2Fx7F8q8+g1vPFPH6YgW3JoG6Ln/SE6TDCxI8aa1WAf4Tum1N1+H/lNfjvvU3g4H2gI/1Fw4K8J/m8qSCAXI+7ofd6061y13uX2w9DT7LnScSwW6eqbCF/aERZIwKWqkub82ouH5SxwcbVNyb1PC6GyA//b7/7S5uvsmT6q0rGtBQD2RW9cv6x1WyP06Lcx6w2UsjELT5CAuH2uZ5w4JbIsGd4hduCKedXZiyVdT1xzh7WHmHKvWZJFQnkC82wKPBVnXGpr1SVEZs4T9O7SCw/ffqFOwyVCzXUgTkr8aot5q9sVrXEBaYda3RfYcJkgFneSxi4eNLhmgB4WTVxcGsJ4+kYbCY1Y8IRF4oaLJVQTSuTHtf3g73kAwXgCxs6bZyrGHuUQHBbvY0gR53hhTwVwoZKrOnKy5OEZBdpMkA9xkdFxexjG/JxPTzJLKTkBOEgbMACa9L/Uw0KHPO48fiKv4gqeKv0yo2UJ4nHIDze6m88PMwWM8dvCBBPqLWypeet6jpOEXviOPosbOswaT6hnwIihBINoSkW13FhlDpPVJ7Y4czBLiHFAsqLRR6gvjqqUNlj0soLfMsRobaJVe+TkV9lMAOird+2TLojSo8KvehM1EozpTkuRqEupHpPx3khbm5n8mXxv1ymGgoyOQbVb8MpOUKE56c2FqzjFWrUl8gTT4JdreXIjvBfL7rxZT9GHR3lDqo7hSikw/OYtKqPdJuGZ1Sv1zian7nodC4e7lhl8IfvGtHTSyF/SeWJyI0VKlf5zpuF0vXxHNEWz0ai7Lo6VmPqh3GC8/dhTrt0YvypsU8tLQ8jpNPteGpPW/G8e8aL7mNDh2ngY9SalyvEr1wpxpUudv9rf8pjJs/aOCWd5nY8SYDDMa3rqz1XRfYFzX12Dnp38XbzqUJ2KCnpOlYdULqPXZe6l3a7PpXJefiEKBS1xZq8PMqGZdAQmkg0kI4G8WBYX1WCDfkQdE8hDRBfayH+uUuVrkKItTNHHFdkquA665zMfPiHe4MaqoVQJ9UpBd/Zcd2T8P0Yr30WALxakUubCG5p7qlhsKgb/dtl6bmsILEQR31jxuInaSM4NIX55u5GPRnAJTNjWoYwULI/soIO0kVvJuZ47dFcgV7alQObRGTjVBt/4EGI/47ZccbTQXh6GY8p25Cb3UKVVrAZHcjtBZ89MtEKIdgKOyDgnh8Eh5BhIpFbdOrwtAqmNAJfOJAiyhPiyJhZikuC5VFZJtForg6XlLO2CnjLkz5dZ5BdnP0CJRKFuGhF6QfHxsjDQsQ3ozCcjTPmRabLzlUrzkKpQbCi36SdcjBa7p0GRKbvN3a0TNK/xlpn0m+nj8HXhz548l94LPZeWd64M9f4B6juRSD6r+V3BY4T+sMvvN/NEWFjoeK3eBz3gPPY1ZGGhc6TkZ6zkOUMwSMkrtTA3YnJixEyiqaMiS/UH2sX96LxtgzKIzqQLWMhNENNFKnQGEWu13dk95cjpFVYUS1MgxLxzl1udyFLD2vIpnIWDBp4Y0Bd7OR8j4jrfRtlJ90FPVKCYkpAw99/0JbncGG+2MroaMAW7joS1clmD7zOLIxz4Er6Dk9C+GDCXA/q8WAFprX5wY9GVWizW/b0jIPCeqXQyAxe3sEFDvbboZ1/4fBALyz7aDwznsAABAASURBVBZ2/olS3C5L3jioIwLycbmQc0UeIJGCBM4pslltK5uZrlPWXe+EPNqSFi64/Cq/9J9hveNXYd15H4WafXNZs4vCCx5smEfxV5nzOP/MOr32nb+FTXd8AE89e2S6DB596gDYPXBgM/ME6q2/9F/APIH/E/sO4z0f/SO844Mfx61v/xg+9t8+iXyBxqsaw6e//D288T3/Ce/99T/C7fd9DH/+91+q+bw8mvLyJPNqKj/tJWCrTfIR506KpWONxIW/oyDv9tdclq5NuEdQ8PrgoowB58ewaLBaaujKmg4JyjJ/9LFDEtxmMwuxLGDw6n23nWOnaWWEGyFItlZiY0ioNDEgc7YIRM9qkqfh/BDixJALGQjnqnD3n4CSv9CwJdM8hI+jqS/bqJvoQZlA2YhlQ6eFAPuLjyL22EHEH34OLoE3hwmIWt0/giShRt8u7MRXq9txROlAVo8hFvawuTGLri4FQiljMpPE+eMrceJ5HxTcvHOAJn8ebD7nnfKgnehD7PFDUAtF5Bos1L+mG9e/8QTSsTRGaEJw+BEF76WJxU4ShjqP0cNSmF07XMSiZLhKtxHqkDEXS/5xMNIyD7EKQ9JVb1gl9bnEDRvg42Xky5rreZXsrc2AScJQNKthvdlOwtOqabWVQJtEyYBGEsHVLL/pR6sZKqs70BEJY8foFKJTBRxxHUyuaEP2TTdg6u2zP3erBQEfz5OieQYD6d8704Tcm64Hlyf75wlL6+0V+OrXFfDRM+zG4BsD5Nfv8gU+3qnOu9yPxzP4HyufRXaLjSe3DuNPtj6HD3b+CP+1cy8+tuoxFHZX8dwyC2djDrIRYDXN27eMamiYVDnaaXVHpB2G4WG0sw/vfqeL977HxbCTl/7b4w1SZ8KTS1cDeqJZuNVmeLYOz23BycoGTE26aMzFsOYNGlLUPph/pgqnBArFNAlsgiZVGQRXPTmxeXCYKSSo/qsEbL87qmGllqDqFaUpp8BbworPMIO2E0DP1l7bY+2SqmoBz9Z4t3er2HlYA4PFvxrz45bg7yKxmJ32tK+RdqfNlzI00KSdeYKJGOvc70WFjkY1xF7Tqt/2412j+2Vxd9j3epC6uGeq/nPeYFKn6Du/aBp8eilIsFWfeVjGY2+l+kqTYWm5BAmO8dlNeeG81vtFiFtrZflM5RIRkPeDJf951GKebMDmVEzqAkLqBz1N6qN2VeoJqHDKBi0uAx2dVPeECjsfRVit4ky+iLLjor9UQdStoFyOQjcNLKUv4J3XZ5+niugKWCEFDPq0JP0KyeNrajnlh8aMyZEmaNYIrtZ19Bi1EWr/vLjGRzPMTaeS8curGPLLo1OLz2W5onbH7JTxGdVTUmeiVXqmd7dXorvYaVHlg+7vgaPUwaicQij/uOTnMledKXhKCI7WJN0ulzjC8IO4ZV+/wlR1sjLGn+bz2/kBG6l/yseogyFLKbs4mEAsL8sdouYo1Dwsy6ARHSiWEjj03ZXT9SfIRGP9PkwMGxgZZRlX4MzxLXCO/jjwvmzdy49gfCQl06zfcNnBlxRg1CmBZV8G4SKCOvpaqA0GPTSZj1X98TE4cnHmLnjyRq6b+iMyxLs8CbqT8bLu+tou9/rD9TJcAC67/OppTA0T2huPT8LMNEDYQKTLRdsWR36lZ+gyyCxS6iImcjFH/EHAqO1uD3a/k9eS75ngKO8sra05UD/vP/NiESkEqDK4nqz9was+5Ydh8J3dFwvLflptB/RQ2G8L/H7Y/bZQO2sI3gdbAvNG3X9n7MYbE3jIUmns47zwArIQArqigkF0lu2Yj9X9EQVHzJsxKhLIuAJTog5dZh34mgjnWJOqH2GUtBDqYyNQaFwjAQpmuIio7vNKpgVISA3D0Ckz5J/PEbmGbnv3XTI33tgYSqmt0hzufxrxU9+EcMoot+yAlfDnKtJzHpKZENI1lQSEWyT5+0Hw+AS6VKoLpIEXkfi9sJnfL9dn3mDAdrd9JWsLKn6H7OlQu3BXbmIjlP5zUg8I72o/RoA6y3KsGDT/zdHHJXDOfg8UfID+1xKbwf1sEG6mzu7vi6+VTg/k/fPcWUbcXx6VbjvNRqkvlUw/Xy3Pfd0FxLJ1NHdyUbc7gvQb6+FQYy+X41C9MmL6ALwlyH1BOaoVwGzRqGY6MKohjIg2qMf2I0gXV+nKDlXpPQuE6H1oSb+vmZlUy88lkPAc1BUjsMerOHmGgIOZDGTmPtamRSuTcIzJeBUjEaA8Rh61e9Tx+7K0rSJzxK9f7bfSnF6QGhdQSI80q1jsCv4LyV2xcTG2nyg/ffI5lKgvm3KjWJduu6J5dzb4cqT6zA+n49W/8xmgUgIvTri1haNpTwbpOwiXUOd/Dy4tcDAvf+nB+lVRP2WRppNx/OX//Qp408VCj/afPvpuPPylP8c3//VPsHXTanz09/4CtuNI9eH/9L9x243XYc/XPolHH/hLnD7Xjy996xEZ1ZET5/GJ//N5/NHv/gp+9OW/wL9+8r/gnz7/IA4c9ftGyXSVycW9xVVO8NXofzpLwDUIhaRHUx0fICDjRXdINBJUEYVDg0zOPXeR/0IOJXcUk56/6qXCDz/q7FuIfV53BmWdaESCzpEXLjSwzhpYMOb4wu10YBIuPRrnTExCd4GBmIsi6Sw0h/pV6IPjNOgBbowm6jQAFCaLSDy4F5e6xiar6Ow/juftDjyY2YnhYgtM20amWEH2ZD/04QlMOB7CxRLMvIvny+sxnmxCqCOGHXdF8cb3x/CWf1+PzR9YjrUb67B71yFsu+kFLF9PYXUHTR1jaFj7DCwqY94R7pk+WMTPzrvAB9/SCSceRltjO974eg+pFMCA69Efq4jv9buDjeuB1TSOXOpZXop/KNwug1fLgxBVS5rnEn4GUS3CKOtwWlvmer9i9lTaIyEPUEnw6ffloum88I5bLSdgKADzTXtcZQO/a2v3ejSS+tF1q/Dn29fgk61psPtiSd95uyt3jGVobv3EUwKsvvWgIne0P7JHyLrBwBv/0Rrviue4YlGAj4Fhc11tl/sxM4Nfrv4Q/6O0D3tKA+CJfEzRMUqTlh97fUh2Ovj06go+tbmCcrsLnnBEz6pIHNCpTQqOCgykNyhh8MSbgeATNOEv0+LTCjsBk1e9JBcggWPVQ3cyi9L4dnhOM02E342nq6NwbWBtOoHOG+cXgrQQkM22EJDhQXP8iQRHG/xx6iSVA9sDdWdI4L8lNdxoJHGjmUKXRi828KzpHZpvGHB8/VL0VBWoUv7rKC8bqgKxcQHRA1xnCATg/Slr4Vhia1zpaVN7b6wzpXkppFGlBIlxjN4Jaeiu5lmj8gwhInRpDkiww513sbPbjaYCBth5l3twnMyW2UGY7bKVF0/JMEr/2QufbW4jwF26Xppk/KJAALQHIW6LakhTFeDFi+BZAr+ZOmPtzEMzP4hyCQxOvGNZs2Shbl3qJ4Vfbj21rwFCJd8eT2gEJADJ+hAEcUYKROh+qH8M7BApCtYQTYSwlEsvn8K5U+spjECuToWuVNCa9IF1x2iiPp4Wfqn+FfMJFAYmlxLlZfNMUP0PFtj4K6m5wJZC4PTkeCO1H2CseUrGH1VqDUDarjypGmtkpCqB7NJAZKm724l1+mbAOp/2dyNF8k8gVNgPvdIr/XlBQxpeBHHVOhlKrQHj0nIFyYUjb/x6eQWjvuai8uocWbcqlfBL3iF+pR5OjRZkVGpYoUUZBUPDHTj9sEJyySnpbhQPYfDZHLp7N8MSQHS1Ip/h6R+8RtYxyXSZJHOyKv/HIdWlUv9BkV5m+KWwH6vtYN9I49pM/kY1jAYlLMfwYzQG81jM/jN3wbM9d97P18zjZNh9qYqBei0G1BVDWNbdQPI1Dd4UmHewapoL6upInh2GmuFFDKDS5eA6AukNg5jmua06fyGQZXQGKfVJf6yupmuDxDxhFnJigJT9VAL1LH+YZCtK1LVLwwLEGFeQ2qeD88Bh7aiH/FpbbkZwTEj3+FFNyj8LRAE175drNkKCAjFFa/0ry0dkBb+PUaeEomdJc1TomPturDr/mRncTRk6B4NOK7i9iRFaPJJWScKU1Dvr6vAV422gaQdO6xvRoQlMlG1MhLJQVb9M+4UBVyiIR7IENrJw4sIMlaFpft8nI1uAuGoUpl6luGw4NiW4AN8r4sygGQHeSi6DCgnvlYaNUKtZaMVReCQvFdtvvGS28n73gPo0vd/s8wifexDJI3+KyLf/EMY3v0hyzTng8CPQH/gHeKPHoIz0wfzmA1DGB2Xcbu1oG2m5BHE7/LYw9xz3rxb8Oe0bI534f+pvxAZagGEZ/DO54/jjyX0y1l+MrwfvZJeWBchtNC/j8905LJ/nzu2fzRwf9wsLBLvYmUBKhb9WJJ/g+TITVF+qBkLUO9bfHobb2Er1jMb2chExnAdfXsPSQFSH2hLz646CWLsJQ7FoLE+gT2mHuvdh9rpITeUrmJiqXOR+uQ7jvX6bSC5X5g2qJRUkd8SRVCpIj6Vx+HkSquZwclmu0pYhpebgUtsYiXgoDolprvO2I807zsbBC36RFiDa5mGIwH6DBhlTrcJsrBWC5JxN5KIDvQPQAobbsXK250+wzS6fBvdspbEIzM7VV/RJGFCf/vPUvrPQHvs2eIc6u9m7X3f5aSVoBY5Ciewk0VfvpZTAb3zo53D4xDk88sTzC7KnCZRvbUpjVVcbbtm9BZFwSPJWq7bUWxrTEEJI920EyJ/rGZLuecLU2NBSO+t3ZWcrOK6evoUxS+a/kmr+HuNKpvBqXD8TJRB87nypSWdabJTlMeEdpY6zKs2LEQZdRzwfyE6KTWhT75CgfRkj4F3vi4Wd65e9e7d04j/ZDP7odLkel24zj1lgB5NW86nNQsRGEaPx1RIe9of9QTB6eBJqtgw+hzy+ZSWmwjpClSqyoxmEjnRz8AWVOkg8+XFMumE4qoqD1U4cs1bBVRSM0UgyXqiiQHEVHQPPWtswWd+MVWsF7n+7Cz6zMp28EHWOJjxa0yAaOzJYv70bd9y/BztuOSsZyu6I1Ctvuh7VO7di8l23o7SmCTnXF2ySyhq565LP9GaAnT+JZOC9uQly57MMfBVJSGmCYiZRDVsElvod4tzkKvYwRMVCNB+DXe+/p7k8r4Sd5y/NaT/lTEb4hhqdqAiIIglHupDlW3N+WbTSlhWwbtyA179mE1K6Dj5H+vPnfaF+oQzEosAbX++CJ7G8Y51VhuRDtnNduH6nJ/1bZvxpIse19TpqFGRgft7lTkawYN6ghMHH6/xlw634lfQGdsZX82exRveHmoOei57lNng3PAvNelYg+ZyOEC1iMfNGM8UavlvsxrHqBIQDbLHSqNa70p1Jl+bXhZFEEZnCSowf+u8ojjXjWYxD0YDX39TAbKwuUqGEQNUKgzofipteVI0jGvefZ3zO+2TvDlXgfyRVUhp4goo5F7sxMF30PPRRfud4X2R9btJP67ZrV/UWAAAQAElEQVSYwNYt/nMdOKSAJ24dlH8OsNh58Kl6Dcc39uPQ1m6w4M78S1EMqkeFLt+TnKw7ORlso1GrzNLmE5p7SkN7bcLNljeH/XfIZn7eDk2w8SUpr6FVhlfO+guqDn/+SpME6XgJwkA6l3laEfO+lzXUBjmKh0p+GbN5rgr+t0JM+UIx724PqQrawybk09GrGqxa8r3maOajCANNTkn6GdwRUITRhEkUSFkVqT87PgVBgesKnK5AMu37S89FyFivhfJkCjY9T4XKOh0eQcQsw1Hr4BHoz0dZKVRnePfHRM8SKtoiaS3kte9Z/x3zmDC3zcswUz0o5BM0XgH5RBkN1N65Xkm/q0Qsc5mMWaPxQCHAX7VHLmt3uwxcI7yLvRjzF3TChcdhlA5Jn2DDgLRcJvEUf1BW7KnLDLk0dj4GhzldNcHaT7UKCw0lkgn4Icu1fpLNr5TiLyCmxvz2a8ZUpLoEPCg4cXAnRp7qlaB736NTOPzca+AxINmqYvs7VYSSCnhh7PyeyotaOBg76o9NdSuv3pP31LZtd2kX16tgHN5T7pcZaJjTzqkrJIAIUA0gdJnHycgIa6RpuytNa4+1o8Cr5WRzTQ+GaSNu2FjZMQqVulXHBKzaUSnEMu/NIHmwmz08oIJlC08D7JifxryBFnHkNNm7fE5hTSq3KrUFiUGAO3uyvDK5w8IUKc4T5z17nQWOk3kSB3UImzkvVirJkOx6xsiyhq7aHIUtDHyyzrLRMVoMYXMnyUNz+2CrjgYu8uS0QqoKQWbhKpgI5cCyPlmnb5Zvtsea8SfR30Zv5FY5lg4rvmyg0FjEjD1uBT1aO+qioyDEneq6h7rEJBQam3CJa1xNwlArEIqNa+pImVq+ndoud+XYfhTbb4JjJKRPkcB2T6WKJ20LE16kZt8k1U8xNYC9vdtRqmiINPVCD09QBbQgSgXwpgJ3khZ4CWDWx8oAAaJuaxdwCXlHnbFL3iNAmgFAXiAIds6yLMe72zkPb452gmVCPh6GAXaW99h9l9mEN0U62XhJ9b74OnB7540vfz/ly2XBYg8HFlPjEGOLzyuUs0eZdfq8cHl++3mPqo5AHYmbSkjI586ndkq+mOMvGHhmSNovRbitM49iCUTXRmEqFsJVE+fU5bKclTl/fsnpf+f7k/jKtzI4cZbKngO/CMXxWGOUdwobTlzoF8g66+YFhSTNKcKWDhCQfmAe0H213o4mlRbA1CpOpS2Ux/14OaLRWkfT2VvPVjRu96ReoeokXIFwnYBiLpy+cs4vf/m1KH46LuFUUK5QPaGiMMIrcDUWErza4oRKYLv6gv8VpHPXO3GpNjpfCbvUVtldjA6wdu2p/EkS4l9e5RXo/S1SEo31SXz0l94md7k7zvzj9uPPHMK/fe2H+NtPfwN//Jefxn/52Huh0RgXoTnbr7znbnz8E/+E//13X8R3fvg0HnvmIH7hHf5iyXYC33dsWYv7P/T7+MxXvo+/+/Q30ZCuw+2vufiIrUWy+JK8Fm6xLynaVwP/rJWAozbLR1aqw1JfiMSVFQihCQ4KmHRPLcQ27T7q7JO8HCatbIKOKFpUf8LMu94vZ6e8GwvPOloGdAWCRCC8kpO8VSUGT1fghctIWznpNhp1wbtz1cwYTaIIME9EYN24ESaBwTlDgztVgLbI0TJ81MCmM33QXQ+DFD9MDaI1iXPeMhwh4JATGTENTJCAvdfbhUKqAc0tAnzGNfvNVA4J/mVvlPJYpbEgMu2VVNZKMy9osMFtTcNZ7wMWXN4uqrL8FRjsLRUfLXLTDR6WdXi4+TWudHs5iBlul8lUsz1Sn0uqeRJOyVFJL4NXA7fIek3cjbwKQzkZGgH+KutOq0NTHrkCCRK2pOEVIGlTx7+nd867dfeOZcGg+97xKQwUSWCZZxCLRYE7bnPRSe9fAux3eeAjXRiI50Ue9p/7GOw2c5f7L8TW4eOp6/FXjbfi/tgqKfS/LtZBeogWkkoYsTO4rgaAnrJcOXme2lGV7Ynjjp5VEe5WMf3ZdCWD4+VJgIpzZ6gJnsZcFxRPPD3Tw/loDp7j4Ry1vSlhoanFQFs8fIFxjimcEsgXG0DYOLQamMAs6STAiwy86ET4KjvNUkIAtezPcg8sbapv4q9TfNPCNJC9r48J8JckvLDB6R4/rmB17TlPWfTgC0TBfVZmUwZNa2qJLsA3n3ODGpLO/OXBMVrQYEsnbzNkwwwVHNXSztsMa+71ChD8gSo/b5jKpOb1ojUv5OcniMDZsCMwXlLvt/0y6ligGO6JUIYplkPUV/JOdjLOutnt0bLvpGanpOH6+jqpp6gNsYEnN57r4GDZRtGlccBToWSjBGB4SNLCB/OkUvTSKCvxPGWEyqTIbUxxEcmRu1CQSpM7M15C5WoTQSuqwKVFnsb4MBTFg21cmCg3rFe4SWDwbD2NQX6eLxHtkr2PHRcYpv4sGsVFZyQHkVSHxqQxF69IvVENS/1qE0v3y0Cr9CBUeFYmd6mz2yXTPKQcuwWV6PU0+S+Dj5dhFkv3x0g2v1glrsIZ7rzAINzy9KLLi83bT0o4rk9TKX/LaPEaOFbGLWSRGWiAowBxTUPnagNdd3IbVHDgiRsx+Eg3Du27ntqkAjOlIikMaJ5A65uoQ6Be4sT+bfAGD+FyLi83iKH+FooTaN26tL7jcuIPeIPjSLrUeOA0rQfnuPPXauwYAPBsZjV5SrAGMw2ohjS+KJIkcTVEwFWkaCDRH5Nx8FivR200LxtEXU2erTQvbYGx0uTLr6F+emEUGwPfHB8ZL/sOQD2nBrBxBDPPWWb7XKXVdtUXuxwER18EPG7IQ7YGumsFgcQ8oLtC4CoD8QzMj4iiDBoVutSZ3BZuZQ37K6M4VgPcg01D0qNGgrTVvEB9SJOuumXQWGKDQfdsjuundJbkblrgfXtExf0RIe2DNcD99qifnuPlMUFzr0SCxkCqmZ5woRgONM0Hp2WgBUhKVWFoFVqmclEq+fHjGrrcjpXgY10YxMbZk8itvx+FzttRbtm+pFxO1DZp1EfK6CHh7umRW/Bv534Vk6lN0Nd0AM31sG65A9Y7PozK9VvgNtF8ZsebpN16+69cMg1Rq/qe5kneABQMgLyHCv78iWXiyIy6wgD7Xzbegl+Nb8Jv1PnH5cgIFiDqwaemgXQG7LneFTxLcgdHFqnPPAzj038G/ev/LN0XIry4wH7uqk2sITNehVFVYSg26jeEEVz5PHUgZKlXDhMlcb/Rr2/SsggJ2qZK7Si2VkeEGo1eMdFjLAdf6oxjQdh+6kwZ7mQeUSuPJx8bw/5Dfttiv8tRExM2DEfQc1iIdpkLBlVCAqnbomhQyohl69BzvIB8zi/LIBCfiW8iD5dkvJ56C9y38EenvJEk77qoI9A9autg8Zx3t3O48V6/MtR1LT4u8NE6zO+1X8UVW07gZVSRoR8hr6ioEHZhRPz3fKWTt4PFt9rZ6862W8D9w4tJx2tsk8F4l7w0XEvELsAb+OLLrjD8jUuWwvt+7g0YHJnAd3+8d17esz2DePbACRw71Y14LIJ/+cJDONM9IHlfc/1mpJNxnCOe3/2jv8OGNV1oa2mQfrxBio+baW1K49s/eAp//c8P4LYbtyISNqX/y0GUlyORV9P46S8B22iUD6k5NGOXpoVJmoBz9s1552GhwMZ51bj3AsoYkTvaW9TXTPOYSKJe8YWhce/AonFgzlXavoYE4QjUQhHh50+hoQYY9NgsSF5g5jSEoaGSspB2/MG5Pws80mwDhVFAKLBXrpdAcOhtt2IyRE1JAONTOUQoXsxzVXpHsCZTgutpmKRJTjUVwevvUSDa6tBftwbPODuQ90J4StmBciKFVAq48w53npiAMk0C7NgIVOorQmoSLqpQEUWdWCN1h8q1gknMvLi82Z4SvhDE5kCtWe3hztu9l3VXthnyAfei0xtkY5ZuVXxwR2lZMcv9WrA0NwM8N1GmBPhIikBNZfzctac83/AKUQbdf31dJyKqAgm6nxvCnx09j9+juvlHB8/in073Y6JiTeeuhZ7njts9MMDOO2mnPRYx8C53Bud4l/tNVhcYCJ7L/pb4cunEO+W2GNIIPgecTdQMUFhpI7+G2hQ5RHpU7BhsQIMSliD9iUIGMVdHBydC/nlaqHq64pfrcj1OLsC52JTUn9LGEEoCW+uo0UiXRUhtF72oteuAM0Xh2ZypncnJ5sXU408q+PJXVTB4v0wTkrWPwH9pWIBMloFu4SGiCKyM+EzBItfR40CqrEjH036RSPN85K8absV/TF7+ynxE6DK6MaeE87WFRD5PUjrOIJlat8Mg+wxn8MT8Xpqc/3zUz+dMvxdj5h1bQTi3bSVm2gP3hfSJII8ETs/Hw3lfTe+Fd8EfqNaYZzD+Q84F+xEKABCozm1lddx/KYEetisyxENTZZTdEjSEkbAt6mM96KZflsl60mkiEM4DoHcLuiKw0JD3X2KyvlbxyX2hW3GmMNbfCK7dvLud+Vpq57dbxjK2StWyRkDQ2DPF57gT+CwdrwDJF4ADh4SMab6jZNiDwe7Rs4rM40ijP1428hlN7HmVlRVeI1NggNys7UqvRHdJtxdDCvHXwtaap4MGu+inHS7D4NRAJ+FR476McEth1SxfnnK1pqWw/1TwWKYjn8PNz5ZfpOPLTLLnbTieQEhXoSggUN3FmltVtL9GgeWqeGHfrdQeFKy8XcWylbrMXWVcYNVaA03bfZ7nHlgOo7h00H2qZ0oeJxNpFVftOBnO6FjtaLG5x5Gw3wYjzdq06qrV8cAhd97vK5K1480C9xejJzv9UNrkhX7SjiTgKJSHymqwnFBu9+uEz7kwtZIuHPOCv1U7WuWCy9JNAcBZJVmbQ6m17DEwxva5SiGwXKXhgvMbAN5zeRgonAu6c7iATyd5ks1OzAXvMGZzpxZjTargvTDYfr42fu80Lu4buBw4HwzsN7h+xoWrQFM9DEYmkM3hoouPz2ugOs4eQ4rPwIsxDOSy2wDJZUaE+zgXplZGiAa8qJ5kr0WVoqWQCOVoyuSgSAsAizK/Qp7BQj8DtU4oSWD70hf++YtQznbdmScwVkyjaWAZSpkufPH5u5HLtUAVWSiRYbgE7NvLaJ4cCkMxmqUdmv9uOPxCirBk6cXvkw1u7Qga9exRtuJ7RR9wvz+6StpnEpb3+L+RFOG315l+M818BIn26DdgfP6v5FEajTbwvjithhETA+8bEIL28Jeh7fWPaxGlHJRa+sRy0R3kza0dgTM6VESoHEaIhOVImy75CwMCjggjrE5AVajhkGtwxCAZIewSa/Mqx2RJCcQDaEkFsToPuqPCqjYgq9SBF0/UF54Ashmp+s9PITWRRvt4HcKWjUP7x7D/IAk9uLwrM1GBWTYJcHdgNmmLBk5sNZFeqyFB0ywxEMHh5wZn8fO76dLSiKKEUriCnrgHHjv6bRe2Z6O+WIVejiP4rwsOnKl92VjXHneAGQAAEABJREFUwrb5Fb9LVEpwG9r8OjY/20+Uq1ochTO1BxYt2x3Kr8TKFRfX9SvyQIS7cLlxXKzbt76FjS9KeYla35h95eWYix5A0YAYte+XW0UuvQBUF4/iI794Lz75j1+FZVNHNCfz73/nG/Dnf/BRfPKPPoZv/uufoKkxhS98/YeYyhXwK7/9v/C/f/+j+D9/8pt46HOfwNDIBP7w//1XGQPvdv/L//sVfPb/fBxf/Pvfxz/82e/InfJf/faj0v/lIMrLkchS03iV7ye3BDwRgqeEINwyLjXxDIlGxMVyOAQKT7pH5n1oPrd9yj0p/ZrEbupmDWkOSJ1YgzplLVxUMeD8mDriQuB1ST1bO1om8sJprChrYIGCV/L507wgsBA6PEOFqztoKGWgQ6BMA+eXchWM5volyKa7K2EOK1Cpg+jZ0YKJiIFotoTS0W4kHnwGSr4URCf16IEziDoCPaFlKBCYH23QkU4Bb7jLRTilIRNvxSORu1CN0CAcBQHgLgxdBr2I5HsFvNQoAe4keNDNDBFBwhwZAj1bKz9yApcnl7dCq8Nhxedj91dSmUYLPFVFSc9AGRublRXXrdCkcwRCmNCN+ll+14KF39syReC6koKPxdVp9VoCTHnjcQvNFV/pfLZFTPzy6nbc1pTC5mQM6VplmqhaODyZx/93vHcW6H65+Z25y33fvgtDyfCwwLP7FXzxax68I80yWt4pt0qrIEVlliHg/IFirdKSb6XFJeDdIRMQIdD9NTRJYYuoCqxwEjATGlvxT3kPnyu4OGl7CBbK9oRGcZSE4BciGUQbBIIJqQywADGTAlPZdtmGtXLfNFd97Z1NkIw+7biAgYoQZ88BpbKHkRGB1X4W0X+xfDArhseLvnV1zENY+OaZ5Th2VMgyYiB4KcfT+DEsnTZqIcnME3ae0EeFjkY1LN0CwjtsOP2Fjmp5Q1igRQ24X7ru1vuzB+eGuy4rsmBxo129UJfmRnCD6bv8uOzrAX2w5MqFMq6P2yz/pdzWnAq80U5thy2RapU1OFaJgDeLxgEDUXrn/OqicV36ReP+2JSmBayosKRbl5hErhqBp2hIpVXptijJn8fUWDMEjXTFiM/fkfIn0rN2uHcAjipgVUxMnZ89vuAlXPx1RZUelb9ymvcoGYpby57AqSO80K3A2pIjF6BLS0j9ahPL8FE5Btw5rUp4C1jmYPOLVfnUO2CrjbD0zpcUl6vWySzwn69KwxUkijslY3O12uRN2n56CfdPuZjfWHPjsVf8QcfP+1mINqlQqC+pW+XbV96uQCV00qP22ni9gLTXQCCH2hFzrSQQPpRUMDHZiIFnClAc/12y32Kq/wU/gqb1ymJsL8mv286BZV4+no2Bn7mR8ZjQoISnnWcupvPzFYcABqDjy6dZXrQh1eY/p5bx+1OOyAkJuJrfrkptDgKwkf0upUq1P09lPt7hzvqLUa4/VEJ3/dB6rTq6FeE7zKHGjONk5njNss4F3ZPP6zCHamVQ8HVOu+j6wkRUuVAuwXvhd3fMmpDxzrdgwh58fjzrjZbBGhIcKZmGon44Mi549xi+ELSF5iLB5oZ+hFEXn8Ca5mPYuuw5jFDfyZtOFoyk5lEQYXj0UxQXjnPxWN1HwOvXvqki9wqC8e6GXXDjKQnUKnOOI6k9xrxavuA7856Q8NHHIcpJmv+qaByPwBlux4GBtbAdFaH8XlKPIzjeiBdC/JCXT912vxNS+s9hf2UEXBd4UeRS57MvlpJ64PFpb/WFx6F//pO4Y3AKv5Pcjv+irZJ23jXNZeTwsX/ErdSOASTjrFvpOwsGfGHSeyfQlz2Hh8rQqgbJTw7Sm/2GJeewhomYMcAsYH6pyKZnu9Fw5E8R6d9Dtotvh+Rndg3KMboqhohWRqxkoK/rFvaihYNvwfzXT2Dss59B9mwF0WIIbaUS1k5pCBGofXT/MJ7al8XlXLkRG8IVCFGT0pJ+W10sfOMbIkgqVYQLUQyc8y5iXa+tRLM2AVsvYzTioTgkMOa6AC3ypioewqZAco0fLkdzH5FVoQgPERqPLoqs5qAc3y9NfCa5NLwMRJ/qRqTvyauWUmzwWxgzBCquQRhKF4J6cjUSdAhkd7rWw7rnF19S9MHmoWtyh7tiQrT9/MuvWt6+pDLlY2AmJnP40jcfWZRfU1XwWezneodw8Cj1O8S9bqW/QamzvRk/95bbwUA7OdMC20ms6mpDIhZhK26+fjN2b18v3aXDy0CUlyGNV5P4GSkBW22ST6pVR6W+GEkqm6Q377q2UJNapAvAZ7MPen5Dq1e2I6w01nxma/ViG1REJXAfnFk+m2N+mzvjaJnEg3vRqcUlY7eVlzoTHRG4poZyqooGO4vVmodlGYGGAx6yOQMlTUF3iBruGQ1qQUDbtR6DtMo+FjZgZQnAGZxA8htPwOgeBl/mqT6gbxQmAd6ZSAfGojqWN/kDaZpwHj6+g4U2nQZT1tnOQByHHT8iMHkSUuW6BYqDAtk+iwD3EfAOd0XozAZDUERkSii0ckl60Rsl6t+Z2p/OJoS/U9B3fWWpTu/ODLWCr3J5gLVp5Q4Rmkk2JZyEophkurZu3gXOgg+mgKe+pEyridNUFwQQvLtXOte8U/cdnU34FQLe/9t1K/Gn29fg19ctQ0rXkbGslwy6r17lgevr8AjwvR8o+MKXFXzvYQHerT027mHwWBg7nHZZDA8UzuA3+PNxIfBI2QWDntKDSLndQbHTB93vH1wFQWC7ILlzo5uClXTBR6zwVwTEisNVgIECNlfbChBr8nC3+4Jzo+oL8+y3kArVCVStMAQJtcKltlpjDP44ddhvsjXX+bWjx+gl17wYoE8TCMpWBqtZX0jtnaKHIs/b4hfCkxX8tYBhAPy1gDHu+/XRpID9rqRqqIEo+8ojMtqZQIp0INJPCxqkYaGjWtjvSirntrfCft3PXfZunPmOvZmbL/6z15QiwGfiBwsYB6seHir5fe/PhT2czVAjpoC3N6eJAoIQpQ5TgK+yZtAEbYgWW3PwaCKkQYdeUcBvKBpVmAWplELzIxWjxTQ6hQ9UrCnnUHFMRGM6autcknchUuivSBDd0QQ8FYgZWSQjk+BF7ADQ5bAcV3KFwkaM9WpSvxKku/aR0YZ188cmvDLGTtp+HuMOnGVlyRgRlFlpurrE0ZrgKHXTiZRi/rFy0w4vwsDlOtXwy8jVv+dFhJ4dhN8TuywVVGXepSjV8tuppTUuhf0nnof7p2LIls9hFapSf6UI1/mRkzq4p1jxOoH173MRVHdTF7j5VxSseoeLrW/226FR69NL436OowmBlbepMvyp51dhKUfLiFI3+s8uk2ESK/14rgblBVeOd+b54GyfqWYeIzNzXL1Sx8kEaelxLmGy5S/0JcHucgbaWTYg3yXfFsnhHI7BdtaXHHAOI++idW0Bg3p73mQebfMZSgvg1RrNA5gjALrZvJBi0J2P1OM8CqrusVMaomc1qDkhg9hRF8EO9mB+Ij2IzHwvLAdFhE6uF98cN7s2FU3WoNoaFCpiPlJmKlsrc+kzm+QdG3m9SMCeAL/3Tn54Yhmi2VZFNfDaDQ9i27J9KBptCPvZJd+Fb12LyvqcDI/L4/8CkDoIcegIMDRioY+mSIHbK6E7N7xOJqvOOY6EHYcICH16r8DcvA8NsS/QkD9NtaSATLlVPmuzKKF50kCqkMDQVCMcrQijfBpcH0ksgLAh541+6MWpUhaSgeujNCRScBnIrpTwvRP+PJmPJ5F+L4ZQPAzec1DrnveDvzTkHeL6dz6N3d/+GtZ95V9QzRVxloD3H7W+Cw9M7sI3IvdCPUbALoXlcDOV6PeBrwCYZ7/8oA3hCiRTHtRapSnwlI8A94TRzSxgMF8aiBiV41DCYzDsg2S7+GYZiV0FtU/WY+t0uXteLxs4qa+Du3wDxZeW6jl9B8xSGHHkEaoWkJgE1mdCCNsKzhwaxZ4nMhzFktRobYd5csWS2KElFTTdHoJGtSI8nEQxewFj4BjatBa0q0NwjSpO1bvgMhl2KtBcBfF8CKlNVF4G5DU5ZvvH8ggLZlPNUfrMIPQ+1NqXBzPLfwbHVTFGer8Nc+SHCPc/den4PX+ed2lGn0PP96BsHUGRGs9j1euxe+M23+MyKbcjvXbk12JB5Zcob/0AQO1sMb6l+Ml2SoxijCs7GV69l1QC/Eeov/Xhd+KJff5RUzMDTRAQPzgyAT5a5lvffxKfe+Bh3HrDdVjZ5WNJn3vgB7AsG9l8Ed9/9Fns2rpOBl9LQDwfPcMAPP8PVk//CH785AvYuPYK7BqQKVyaKJdmeZXj2iiBaz8XrtEsM6k6w1JfjOgEtsaFX9GDXe4WCuDd6nw2O+jiHex1YnGAOC02EieQ8/xBW1qWQGYeLXPDUV+CDs605OAKidmKHoEQQFSZRDNh8nUKsOy0h+9gF/6vsQUM2pwteAi/oGG33Ywf3diAsg5MaSpGK1UCDS3Ef/QconuPI/z8GWglC06iE0MijJKhIUlxclqsYlGAQfbrNntSZzu7Dz+jYPhpgYHHFKl6Ccw8/6BAVZkkgRiIGo1wYTErdFokAF0mkpT7JHhH+6R9Fq5XRRkjUNhVWbw88TJfRqhDplihFQVe/KijRYr05x6GcvSAdA+FfLBWWq4xstGvehflKhQSaGvzLnK/FhxCqgIG4fmM9xcLuvNgFTwL19Pgjz8ZdOddsqkUsHE9sKLL51p1drU08C531yvhvVEh7dx+HilfKKdSlyNB92Y3hF0Zf/FuR7hR8j5YA0hdsvUSIBwAxaOJErrujWDILJMPELhLywIkXAcUSySMux708oXPPKO1iX+uNnFeIDiB9cDxE/4zMA8D9AE4zcBuLavsNUux+7GSH253wtcDBi7H9ev8snDP+X6XOlYmCHs5erBbjXe3c7j5vgi41FEtHO5KKhZwnY27LjvKhY69mRvRWt13ebTsghdEPkd9NrvcF1GQmcyCz1znNsFtg93rDn8WLUc/jwi1lYJmIGJVUazSGOF5iDqAXhHUlwqk6msRA0jWh4gCOynurYrA6lxW2pP1ptQvRSZ6bMlSiqlSX9boz+SDRWzpWCNtWwRN34CJngSBKCM11xevMYhQKAC84LPQ7naz8CzOHltLiQis3KVj1CmRGejSE1J/OYhtdspkLL0TDJZLy0skQvht7SVGM70YIK7wOe4B4O7ovmz1UvP5kxA+m/ZBiVJuaW3nxT6T4kwh3PspiNPfnjcKa3QYhXwCGjXtdNfF9cQwVazYciGPWm3Xpe1nX8bZtk2BQdW2SPGceqQORnHxo2XGThVRrZjQGoCmdk3GcTVIt+33T13awu03OMd9LqibOy9klpJX4DgZjiiUpr6HVjISU2ECVXxZlkQA9gKDxoSzSPNSCYPZEzdWkdvo96lLDTeXj+NxK9TfUx8Rrvdw4f36zz+X31jiDvcgHD8X57Gw0gGbQ/2K/KNX0MWLBiXPzz5i5jQAABAASURBVH9UmV0Pgv+5ITbM94fn7M4qONYmUfTDN4kIYqqGvFFCMP4z31x1rpqTTh1KDBGhI+jjh5UoKooOEr9QVgwowpR8lyIKb5hRAFOrwPNo7uK/YhmsSuZTpzwah4GRMUe6vVLEXWCXO/+3yfd/KHDylABvKuE8B3mcnKQHI0s8cxpKxEaxXA8enOu6FDSjiKSrwrVNfOvQdXBKGQivDK5XFARqDUhn82JKcbi+AVxHAj7evXw0EcKxyhiitoPgbP/A/3J09dhz4B3pDLRzvNb9H4Z96730wsI4OB7DN7zX4dPRX8KPzNeiZ8BBLudgAo0YVxqgzLPLXe5wB+Cu8CdIw0MkK+QM6ILkp06dfACnCpRJpFJDCiKt0gnejPPbNcf/4tkonoFwqBH6LNN07pcC4eU6oqYN3TIw0VtB/k3vh/WB30XPm38Lo0oHYuUY4oqHzhU/Rso8jhhV8U0TIcQIiO89OY7TZy5svMECV8XyYI/57yKcUBfgutg5uTsE3XNhVELITMx+ljpqU6togPEob93JqiyTgaIDQe+8wRKYeZzMWB8VGkUfb1aghPx8kHX6VmmlN3rg6zDUKYiOVohoZNrvahqUShaOOA0rMgRz9EGwfaH0Iv2Po/HQH8CYOrcQy0XukYGvYYz6nW67GenUToQj0Yt4FnNQqJ2Fu1Wk9ulIHNJQ95wu/y+M3RcLd0X8EkkZjchOSv1VsvQSuP+e25CeCZLVgv7Z33wBd73rt3Hv+38Pf/vpb+A//tq78L77Xo/2lgZ51MxT+4/iNW/993jdO38bXR3N+P3/+Esy5Jvu3I1//8F34I//8jPYffe/wwd+80/xq+99C957/+vxcl3Ky5XQq+n89JeAoybkQ+qVHqlfiiSVTZIl553HlHcKDLYzMKwiikZxPerFpVcyo0q7jIPDWShI81JJtna0zJtPlPD6EwX02DQKzwisKyl4moBVV8Abtk3hDa/zsF10IwQbZaMBx8dcfLvHwygBdHUHdexs2IjvbjFgKQJZWmErUWfhGTpCR2hwodW2MGJw4i04BgM6BNpavBmpQe6K3rbVkzp7TBwRGD/MJiC5xpMq0gKwUjr6YCQ9hEQjSt6oZNKF37mzJViomLTPY9Q6wU4IE69CaUvLNUJCYf/9FcITONd1GN3LT+H8un6MLcvBIwRIi/jA6zWS3VnZ2LXdxfvfe7F61/0OVHUW6zVn4TPef3fzcrSHTWSWuNN979iU3BH/2/tP4pF+v87xg/Eff27f5uE1N7q47+0u7r3bBf8R7603CfZGtjuMYJf7/soorjMEGOxkzweKLnjHMZtZlbocVJpd/Hp+M35vagc6o3GcIkGXd7cPU/s8XB3HEcthVnTVvkzZUxoEf1bboITlBFF6ziFlx8VXj/fi9FQe4ZRAoZgGaPKneBfQkXQSEnTMZICZk6o5UeHMGQFeWKDqKb0qVf8521VfD3ZeS88ZZB8l5Xoe1uoKapujZ/gC267zwF8LxPICRZL/F4pnVqDLtESEPisEn9E6y4EsSzmqhdhe0ZuB8yKVZYdTQH3/E3JnjTl6BHzW49wJ2pvDCgT1x88eOYk/fP4USufPIzo8hMmRUeyjOs0PsjkZY40Ajz6olSmo1Sl0ev540JGbgA0L1GUjjBB0EuAVALqhEPXvaMKUhtXWED64qQXVEscnEBw3Iz0XIKo9gvG+ZvBo4OhMgY5kj+Se72zxpmUCQigYHegglZV8L4X09goZfFmHn7a0zCGVs32UVoec6K28XsOY4y9wNaqhOZxXz1qJ7EAltAGF1FuuXiIvMmavBj4p84ADLzJKGUx1p6Tuqgmp/7QTrk9V05WP6RYmpX41SCj/OAa/9zwe/NS78fgDN8MZPnlRMsOn4tKtab0m9UuRcNrnqNZ2Kfs24Pq3mwR+CHSfW4vex6tgoD/wm6sPHKZBghw7Ny0tTWJ9UffRCg1yFHKDQavjpM933xRqwWa9Hu+IXthqX6XsFWktUDWAuL9fZr6gl+0mUrYMUx3yn7vc7KDc5qK43B/rpeflEL9Lu5wQF/F6KggsBWgKACMuELzf0thFrFBpDiDoETzKfgCoXsw1v0u53cHkdgt21O9/OY68WZUyTZTG67lj9sx3NtM8N3Yr6bejDicE01WQIaFmpZGQbANi4XHjXNX3aynUS16Wszgf/MepfUozzsfaMRhphmY0S/9LEUUJoapoYMBdcRxYlQsvp4eGuXJt08XomHKpqK66/6xd7tkMXjgosG+/n1/DAHhh+oknfTtnJp/3ICplNFh9JCEYcMoJqEKg9a0RNN1uIkSLJmZFQW64HY8dvw789bdV+18BleQ8juNSiusV8wRffbCZj997+jWvYSPuOdaNSI4aprRdPlHOHJGBnI07pc7E2XYzpt79O3hO24Vxnd61cLEsPYKbN3djRcsEPHrGk+pqqLXd1BxGqkoJysBZ8JEfbg1AnxzLEthswuD/yVmhS7bgK5lIqwckSPBmVzPMVCpR65+EWoFWvnh3MLcRZuSyYcXm6LIwQkoV4bKK4aEKO6GvO494PoqYqCDaGYJ469vRVvcwmsJPQS8qWD4RQTxbh8P7R5DLL97XTExYMGwF/MevkWWmjH8pRAkJ1LX6nJnzrm+YQVfpcaSoPdp6BXyO+7najpflNL/nfjZgtWoLenUtInCapYdGDiEy9QxC9UXE4hNI7/8bUn+L+MmvS7l2FvMVtGg5asRqFS4UOOYEEic/SwsGfvnPTCYyuAfRyX+DowwiOvaVmV4LmkPD+1G1z6KsmHjW2YXbWxtm8fK7TxzQwSrUr0KnBTB2YyZRggTW+c+pIz0qO4HrDX+JxHYJwFNYDic9rwJxG9pkrMEfHEvLq2TeEvjRl/8Ct9+0ddrPJOzssa//Ndg9cGTzkR9/CoF68LOfwAfffTfhLYpkeeMdu/HZ/++/4sHP/k88/o2/xv/z//sQWhrT0k9RBP7d+9+G733+z/CNf/ljPPzFP8dv/urPQdf8uiGZrjLxc3mVE3k1+p+NEnDUmgDmXtzZzlcCOqKIi+Xga9x9Hg4K5NKONvUOxJUV7HxJpRCAHBXtYMbLOVaG+flomfwtW2AKFa8/XsCyE8PsPK1UEnZBjd7VHbijJbSmKrijeBC/LB7DnXep6IwD5zUXTxMgyJ38W0514uSKFvxgQ1TGkRkch9WShkMrzUqxglIkCRJHMO4p4NX+mM+G+a7CgMDQ0wIQHsK3H4R56/OI3noSTXf3ov2eHOI7hqFFPIREkga6Kg11BnQqPdSukNIkTQWXwBz7pDQnwDsUpfGaIZxPpbEL5cYwsitMZNaaGNsaRn51AlZjHJHagso1k+Gfoozwjt5/v75zGnT/f4+exz+d7sfXekbw6HAGhzJ5DFC9/fz5QfyPA2fx+fNDOEMLR1wEj43lZp3/vmWTBwbeZ9bpeExgzWqP2ZE45S+sPFTwv0ThP+h6c1hIP95xzACqtBDJr7VRHw/hRruZwHcHnyl44KM/q24vTBSQc6sEwgONqi+gB3FuNBcGDx7qH8PjlPfvDmYQSgow4M479bVKH6V44U7VZP/MhJ+3Cz4XTD01gHLrFv/ZMpO+X73i67zL3TfNpodpcsYu20JM51dbt7hoKAjkaDLG8ZT8JOZnfhGuDXMA0i4jdlEsAdDPZ7hf5HmNOATH3uwa34/wwF5E+p9G7Nz3kTz8WZpk/A2URz8Jc/B5mVt+L+0Tw3AEvVPXhbAtVAp57BnJoL9UAe9kv6GhTvLyJ7GPDazBw70b0eWMQgjBXTBilQnpn6K+3rINGCEVhlF74QBSKQ2gdzWQScHInEHOMgChIFlPOha/vMIgRobaIagXL0QpHgDLW/yxyNVqYyq5BbdJ9TfeLKT18DOeBAWk5UWSoD431444mxuNVulB75lOfjxEaQipmNUFwaC5Ya+k3dZbUEi+Fa5CA++VjPgKxOVqfv0Rbq0zuAJxKs4U+D9xPCUET4SuQIzXfhSNagT5GM2UKaulKZPolb25LuvnPo/H/3E1Dj97E40rAuVyBGf3aBcB4eMnbZl4sANTWhYhikkdAPkzKE3a9B1OAl13qGQXOPrMJoj+C+clk6O8hVdGeOTbOH9sJTiWWG3clJ5XmPB/FfEO56jQ0VVbtJ4vCV2o+L30TlwfutAHDTzq93mRFg/qpbu2+aKd1y0S9+PNZ33Qi3dnF1bZcA0ujXmDXHVHJ0RyhwUC2AT4eRd6v5wRnYAe1nlHPuuXqxik5z9TLaxwSPa1MeqUZRQNc8Zr6UjkHdFVaKS2st1oJNvCt1VH74mGii4rDP6Sa4uZlszP2f74Ii1zyPlaBe6cUTfYrMDGMEJwqV64NFpF1aW1z4paB5fGNqG48DxXblYIkhwcEnCpjMMEkpZq8lHg90roM3e5v/APe3DkoXNQhvuxw3sSb12xT26I6O0TYCCe8zeeocKdyqBemUC+rhmqrUKFAy2pIH1bGLEmnWRWB/poEj09XVCtbgTnj+tTCkcxS5lDChgA5PnkLI85Fm7Dj9bp8EIx3HGmD/oD/wD5B6Fz+C5pnQmQr9w4i32yqIJlmIZkBb94XwGve8sqdKy5E12RZTDLIfSonVAYcM9mEFzSTha3nhDmGoDe2+sQ4B5CSLiILtfJFygOSg3ctzpbbgTCcdgbdviORDV7lOoKGeg2s0eJXnwHC1RKRYB9o+t0hGEhXIiiu7uACslqZ09N0WJEHHGqd+nbI/AaWmHvvguNsWfQGHoSMc9BfS4Md8TAiSOLj92Z8Yp8DoPiCl3mnxjFmgRnkRZePKnPJA1qO5rUCThGBYcbPGR0R9aZlV1U/jMYx7v9vjFak/1meEmjUM7CbqX50RoVlc4cvHgfFKMboeLzCI3slTxXgyiV8zLaAbMRFi2sOcoJkskfk24BCQ/uhTH2RfTTnO242YoSLaLohXOB97w6b5yJjnwDY2oI3VYzVjZvRXhGkxE2wGC6nhW0oCAQPauCd7Cn9hkIPaPC3K8i0qNCrQDcD2autzBxUxXZLTbNK6kv0jAdLtyt4mpcXqMPuCu1Y5auRhqvxnlxCTTWJ8GA/cU+vktbSwMYgPdtLx9VXr6kXk3pp70EbKNRPqLmjEh9KSSpbJpmS4pNaFZvho4oLueKwO/Ucl735QSTvJU1HXC3+2c83XRgFNqpCwCcjiQ8Q0MlacHMTEAfykCpVKG01WHZGh1baQ6cGlPwfZok/KjZJiAH+O89OzHW1oZHlzWBd7mL88OorGnHWFMSMEjoMkKoqkCKHtHwZQ/MvVje7X9MSGft5ifhrTgK/gNZXpQYcp9Ar/MdVDFJIqyB4DJA8ePCpVMZBosZrldFCE00WPnvB9fY1RZ+M9oT96Etcg9aQ3ehRbsZ/IVDm3InCa8XnvEay/ZPRXYYdP+dTcuxuyEhJ2SHJ/MSiPx67wj++Uw//uzoeewdy4J3wbeHTbxneQs2J2PS/r3BsUtbmsTNAAAQAElEQVSWwc7aRypmXxrhUhg80d9T6pfh7ibp6c6QAt6p/FdZF8HOavbMbrEw8ZoqnnJcZFwPVa+IsBiFIYrI0wztlO0iOA6F4+QwXVqCtYvU6VxRPhN7DJbK0EMChWIKjGwIp8jO06o+7RsnLswhfIcaHaIJ4vAIwLudVq3y5ASMd7tPkKwenABQ26BSC3FB25fzhe3r4xfc5pp40YJ3uadoMlakrAXg91y++ex/S/H/rykXMxcv5vIFixTs3qCEEREXd0IZl32BDs3vg3zbtUWDMq6nzvLweAdOV9YjH18BO9IIjwR02GWE+56i/joLfv+DBQLxFBWhruX43S0r8cFV7Xg79dG3NtTh/ctbwe2ABfyRwRIOja7FyYkVaKe4+an7IimsmziLllIFYZrEKeQYi5G0TnpwJ/l4GYp/vBgnwP00BnJ+X5tKX1y+QZhAL/VlIVwBi7o63lXZ3AREFKpkxGCZy4hefIeSAkIIqLaDg4cE+E+K8SKuqgVkqO5y0M5OphcrPbMXZ09uJg8FK3eqlwSDiPFn71ZC8pkVAskBSPNLJZrl14H5jhV6qXFfy+HziTJ3zSjkE7iS5RnN/Qi9PziH737mPkxmUzDrVHTdy61ZoOdYO+ye49PF4pWKmBwJyXws2zK7rU8zzTGE0r7DzCNlfBdgFbWbhl0Cjifw+Fd2Qxl6IfCSz6h1fxtPfH4HKhUToIXqpmAwmea6cobuWr/WwP3kZUSb4/8PGoIE2ttu98eyywi+KGs2Sf0zcdTWNcn0yt8Mgnu2IJkDMOs9LPZ+9SkhM2zV1QZPabs8wrsvyx0Oqo0uuq2sDDxzvJYONfJzsVX4y4ZboNAYUHOaVwvys8zx+6eUCEu+btv/ekta5pBDtUPqW5zYtM9y3RdaTom6aTdrnsXgac8ZhjAVjUtjY9ygZyKAs1K9UHdOnwZ0W5HjX2ZYmRHqlTOWbnwLvoN347C3HYZbwuvEN7Az83Wknvoy3jjwlxCV8vSYW8i5EOU80uoYxlvuRMwYx+s2/C2iPY/K+aCeFtBorNZoycEca8TkhAVeyOGn0wpUMGyoqTCBfv5Z/ioYNIye1eSOXaXs87nUNdRY8VChRy56r29bjwYzDiWXgf6dzwTeS9bVF56QvA6D7aZfN6QDkULeoveioM5LYfDHq3D2b0yc/+tJlPaYaBxvQEkkMK40QOk/Q9z+HQCL7qpN0kHQQmJ+yKF4BGLUNrSk/46Lg/4z8ZfbbudaVD70X4HabmAO6NklFD2SiUgu0qrzA7PcXphXrZVPpEunOYInQfHxgTKOHslSuahgED7aQH5dGrPDueEuOBt2oin2NFpCD6MeFcSydThxNIN8zpI885HcqP8cZsijd+o/x3x887nFW33+TI8BLpOZPFGRxjp9HJRxHE85EIqDkJZHKBSdZssVXKg5jdq7hzg957THDIOgeZVF7azfrMfpSDOOxZtwui6GijkGvbRXysIz2K+YUS1RI6bYsvHXoDu+GZ5qw8h+F/zFKTnDPPQQ7MHP4HwoifNaB4adNMZ0A+bEs+y9oAqPPo2yMoqCGsIPxT24rXZsIwcIwHZuQ44J8CatcrsLNrOfkhPULgWsOk8C7LyYyf05h7WSruTPXF8Fh2G3SI8KpVaP2P5SlEn9mFo7OtRL1HAZ6jNeSpyvhv3pKAHlp+MxXn2Ka6EEPBGCp4Qg3DIBAf5k8VL50gkYXqa8GcvVdyCt+IM0LvOKKu0yRBkjsFCQ5sshfJ57/xYf2FD3PAd1ggRDikBHhAZBBZVklSZIWZinfKCw2tkM3oGu0Sp9q/BQN6DgyaqLYqeDdkTxCyOr8ezKFL65uh18lnvkhVOwx6ag6XH0QUdVAxoc4MRnFAzsETIupwp5sd73AwU8aVNWn4K2uhcKDNQr28EAelS0Q6U0mDkiWmChyEaYSq1jlzafRInXNwFBGQX2a0sXVCpRmEgiJBoREe3gLxzYjFevl6UE3kOg43+bAUTe1pTCZgLWGWRnMJ79fmcTA/N1eAcBlZwpBuInKhYbF1SxGIENKz3pv+qsf5b7V/NnEUz47osI3GAKMKj+11kPT1dcySuJAB705+FUP/oQmoig5UASnuPhFCU7d3delxqXwWYSPkrm384SSlBz5F1eXpTaaikNj5LSrImaj68lSRhjE5/LzvpcdYDATXbj89Z5wSzY0W9VBNZoCnuBz5iXhhnkBLXvLOW5jiYRHVQmM7wuMvIu9zp67lxe4LkSZfIijosdeCf8UctFL5XNX9HixfgiwRoUf2I13xcBHA8vgESEAE+UL07p2nCZqD1fbiCKPX1b8b1TG/CvT+/A547cjG9N3Ivnc+uQKymI9D+F7w2Mg6oStjSm8Fv1JtpDOrakYri9OYX7aAFpHZn5qUJDz+FcjlEz/z2iaLIzDqfT6I4IRGmRp47eCQiGi8Z8P8lAJBo3iAJVSsmdHES2GoOnaEilanFJ3/lJ/7mQ9CiHVak3xoblGOqodeAxVTrOIfEWfiIgYpswKOmjhBXOPV92TpB5rRPjQu44TKUArs9zmXhyOHQkCouAwORyFQ3LlGkwqIvGs7n8P6t2R9BLoIdXaXGbtCtyK+6UjMc1Luwwlg4/xSQAgYuhqnzK8qQ/dkjLSyBq/x786B834ehzN8Ijiaphp4KtvyKwZruO5bf5bfSZr62U4Dcnk+ubknXeTAEqASzsthSlxXyu8uxhRTquf72GMIH8xXwCZx51ZVq8oKD2PIg9D9yOial6RFIqbvnl2X0LruDF/73w3ZK/MWWx87/nJslyKcuq7N64w5OgO5uvlNLTroyqMOZJ/Vog/Mxl24NCY2GotvgcgO5z369OC+ScZwZ4WH+pqkjANMfRqIZZe9EqACWjvJJLsdRl64gCp0tTBGiSQCJtFwjvnB5zyjAdHS3uBXlqg0ENgdj6a7IDGaEusMGB/WaqempeE2oShlah0dFBvgY0Dw0J5AoepeVBI0DadT3ymxnylTH/sHcLBtI7EF6zHG/+yAq0v+02eaa5G0+h3hnATZkvQcmM4uhRFyI3SetjefDZ59W8gnS0F+HmCYRHnkbszI/lA6j1Agb1OkYlhMzYJPjrDX4vDAyyYibe1R4h0I/NvHOb3UP9ityxq9cWc1z9QtvYXxlhVtwfWwvrvg+D86aMDUB77NvSfalE6TsrWd31O6U+k1gVB00DrVCP1iF3sApryoFiKlKZrotQKYJT2mqofAZ8LaB69qg0SQCfTJnxKpAz6P16iJP8QE6Y6vPAbStEopbqD5vsPK2UShaeV6AaocAhV6N4BmKeo9qCLwWUGlCqJRUklmnQCLC2x4DDz0/I42KSoorE9tl9qn3rW2SZ1YefR9iZQMKC5D2+9wClOP+dG3SlR2qF1C6LRAns1/mJbBVDwxfeI0diIomVugtPdVHQqbxIbzByMEQUwTUyUIFKC1ORsAWzWQucZ+mK7deJ50PvwZ7kx/DD0NvxA/N25LUIbLUEPds7i/9KWPi9aOU+fjKkImvQ0PQunAt1yvTMwa+j+NVPYi9Ooz+RwojSjBPxD+C02IGiYlLbeQz8rufLB7tHxr6NEepj9lrXYVtTF8KKzylsgHe2B2A7g+mVZiq7lTYmd1flLvbKVgfWJgfsZyX99+aHvkC5DRYoTAC6c5wXfC/fxPUwcUBH7KSG+CEdbPdqi0jcNlEpXX6kr4b4qSoB5afqaV59mFe8BILdWKrtTxaXkiFdxKEQpIYXeSkwEEKTDF12/UFHWi6DnNzcgh+sj6JMgm7dQ3uh5GmAEjG4qg7HcKGOZRE6el7GWO1qwujzQprbTA8aDdbjTyroW+aAO/5mJYxbqgkcbErin1e1IS8UFGwHhXCcgBgBl0CxulEBFjomTwl0PyRw+osKhp9RMPCoAAvzIlaAvvugTKNJuR51Yg0ald1oVm5Gl3oPVqrvQpNyI6peRvIYXp3UZ5KIaIep1JEAEkZcdM30etX8aglcVAJpU0cARL6jswm/srodDLIzGM9+QQA2MwjP9qXsct96ncesaB9sR7gUlrvc/8v4U/husUe6vy+qINjpzsfLBH+k+iCBzQzEh4QNxx1C/GQbUr0xhHs0DDhAlx6T4QMy3/EofJQM7863jSosowzX83DYmkTFTctgwhqXekDS9b6JPxXOF3xzQHk3MO9uZ/vGDf4z1fvRYHAYSKvsA5k333SB7s35/NsIcJ8P2LzACaxeBWyKAA4942kJ8M70nd9c9KOXnlxm/2vKxcwvBqRHjQST+Pm+COgjgIHZloATM9srpnhRw6QOVOT8LETjIei6gnxRRW+fiz3nNuAbp2/Eucl+nCnlEVEV/GJ7Cq21d+SHmk2V/sM4MbYCnqoBVJ6iQH16TMX+hkbkdJ0WOsMIU/mo5BmNK7MCM7DuCRWjxTTGK1Hpl6yPSH0xolV6kB+ixR9iskL+mLKy2QfEbKOTXOe/E80+r0oLVG+8swT+KoLrJoPu84eY37Wv34+ntXl+f/6z1O5za8lTILmFKiSZguMOokIn26s3l4BLiyOswy1L7UoQtbbD3VETVyK6ayeORXIS9E2FeEVyFbOm1F8s4QUj/fxX8OSX1iGXS8pd7Sve7WHbPTri1LY53o6bVYQIrGEgfHzvCXbC+Em/rjev06R9qSQ4oculBdggTDUPKdOZusCOX9JgEXB29sQmjOw5hvL/n73/ALDkuM5D4a863pwmh53ZvFjsAljkRCyYQZCiJAIiKUokJStRz7IlS362n2y+8NuUbdlPgZJtiQrWs0SRkphJESRIgiQCCYDYRVzsYvPu5Hznzs2hu/9zqm7P3pm5EzYBu8C9tyufqq6urq469dXp08//EN/73P1Sml9vF7j3VwNIdi0dW3CJfgzSfWLuAA4QWMfP7j3B3g2XPPOcJvnVUDeQ2kOD44ZzboxQo01wpszPqfGI/a+1Kc0IVAgEFpYHvQ7qaZaqVTV7rp7mvAZiUcDSlb4UpaK6cHvGKcrM7RcJuPv16XUDsryKVUVPPoWaI3CkotYOMqFucZzjAslSFLZ17hr9eoxDNUAeYZpTA/Vc6zuzWgIBvQxNOJKv4Rw897iEL8YJrrPpVE5F0HNAHk58jcyRVwR4HuVN7Pve4SKSCoDBdGff3ah+6Nfh7HsT9liHcGP5u9AmhqBl54mnGIdzw5tQnAfaOs7ASs7BiI4gMH8CenEOXtxFstsjrgGYGe2QG20MqvMlGgTS2xOaVIfB4fxWB5mbqkjfWpUCXAwKcjwb11bP3TT1DRZY4Wd4t00bIQRmMugOOwj9+Seg1UFvzrOWYbBd8/Wt929dQVpOCwhPgxnwkLo3iL6PRLH1XyfQfl8QYVGFXQphWNsEKdW+kAaXBwIV3WgKoDqBflNjaRhVEzatq+0exS+k6wLr4V4iaHIIN0s9wsOMnsQsz6taqaked6feHnrDWBu+JgBbbgYEESgbiFKfCtG4G7veWnomFWPIDQAAEABJREFUaiu/zXpC30PSLSKWDePE6XacPjq9lJZCrJ6mMK7aPxgzKOb8Drtbhw0PZtVCZrqK5b9eutYufQ4VuwJC1pGizSkTYfi/3AQ9lBQIxzWyVx5aeQGO56ImdLyJMIv3R4L4mfZdeGvHPThpDcLVagjMPrEy40XGGMVJOFoZFRoYw4Eu6EYcw53/BHktgKw5iVPX19AbmsG83oGpto/ivV1JlEL7kHEjmNFthKYeblqD2NDnUcAC5rQoDhpvx/6EIhM16lovmjDyAo4NMKDuj3GKAuBnxunwUOPvA/iRa7iFAVpfUlk6sRzBs/oalKsnaTQ/xKhe5oKQRFwWhzng+qD79DgHW+YN3ALaG/jaW5d+GVrArUtjaWvoCLwMp10ElAsYu6DiB4wIvr0rjO9v0iEIWUt+7vuIP03Ah0EAeKICL1uFnisBQsO81Q3+cJTXPYJ9Pz2EJE0GdlrDj34oJJOUpInk9lw7gmYNR9ti+PNrB/FUfx8yoTDmSjrCRBuiJ69tL9B+owdexDgVYPYQkB2iAZvAQetd34WwqohrOxESfVjtV6h/MNXSkk1Jttpvw47A/dBgNU1vRbZaoLEFNuq/r6ddkm5Iyp34xm11KfcPjt6F+0ODMu/fZF8BAwC8gGBJd1+n+xcLLr5ICPKj9Lgx4TXGDEp5HaGJFMyKDYsAjDmnhjnXxKARZRLphoRi6GUEWaxKhPV0kxebOkDMbJVYXuAvZo9jMpxDnsBR4lGhl9WbK0yXSkCCl/xxLAYvWQqL49kcPiLYwUC/Bx807+pUTPg8rV3b6JkOCRoDCNSfVfyxpGfrgA+4N39MmWSJ+fHrVPDZtIflwL9KWWr7Os2303h1u63q8McL/CaAql8j9W3EGMc0G/uDPY3R0j9HAAN7+g22r1zDEu7J6gJmcilUaHS78x0pPPjhfrz3/b247U0diMYtLNSi+Iex26GZLt7Z044Age6rXZG5MIJjM20ouzZMy4BD93GkEEJcZGDRBukHqIv80ukSwnmNzgaEY9aKohL1V15fmR2Qacm29RvRzWcwNdFHZQqwhDsv9DujUzK/Y3ZKt5kVTAjwnZ2f7QDTMzjAoHua+qGvX7ZZvuVxZ4dVTH8fl6b8jXb2+CSmx/qhBQQ27VXX46twGjAijaRvaL+nJeT1a+chaCAzrGH5gLsvxLAG6esuqWzX1DVl1KasCqy0DeIzkxO/h+jsZ2GUl9JqTgasquWJL90jwfZAXMfNBHhv27n02WUgfMt+TT5Przy5Bc70EBYm1Lnad2nKs0HbiqrnaPg7Qr7BePgvNSlMcepLmnybMUjd5Jq3W/JcLz2xD49//a0oE3CV2Kvjrl82EU4KXOofSy1/OnsUvz//vNzs3m2m8Dttd8g5cyPnyo8JyZvq1Gy99y6b2DZSwAZoqskKaqaDUpkAWeKFN5DlspOUaCyl/VXoJiAcyF9QsT3gTRQZQZaeV/es2n5+bcM8P/MfVMSKY9opyrgQAWjSc4FWXbAd0Xo5OUK4UwSmEyYpN16WFzvtKKarjWgM2hjy0weJz2KAl2v1RfPt+Ip9P5jf8dPXc2OGgai9AJ0Qs1ydFzpDy6sanS4Gh8DIGgQ9OpmF9Uq6fOnMZ/lvMN59hwf/7cXFM9pB1O75MVTf9yvY1zuOveI5eK6D9kGaB3vaMD8XhhXIoyYEps0otPhx4j2ehblwCIn+CgT9ea43aCPVl84OntUROa7m1cIA9f8+1dEYRCwOOgS8V8AgPBsGErkuB8sKEL45QEwtR7AhgLt229vZB+3Uy9Jdz9JOH5YkrF5FepZZTkGTMZFBE6yPPrjZlOEQhYPCRbgYQF7EMaulwGplRF1PtbftWknHFqvoCxRDsAS1506Vf2GYbjQlRjYpl7xLDqPEwKRATgvjqLmVeodAMz3u3EacUW8QSgkOGIhqNVhlG3zeMAH9kRsCkn9h2iWm3mbRwCm0my8gUnMQycTw4vNz4LmjkbaQrcGo6TDoukMD6joa0zfiT24WkmxuuCbdRisqumk8nocTz6JqOejQ9cZkZCc8GY4NLI2XkWQZpTFAczHpxRE0QxSjDn5Gc4l7qU8a0KqnwcC8Srk0tlYiBpLOm7X7oGkBWehNoU6Ml6/DlJlEp5ZBVQsh2/lBvCmRkOn3dcfxeOUmZPQgkPvhijqFhr8Dq/gUps0EHnXvxZ3tdE0aQEMHGMQ2aLx1CCBvBrbjAn78XHFZnDU0pEs1TuxvNBoB6vys2pOarEdjmjWrIfGcSetIgDfSWEc8108vgzbSDCCmrhsVGuwaM16B/laVLm8LaJe3+Fbpb7QWqJqb5CWbxFRIz6tkBTQFTuS9Udodr5z3WTv0kMzz7Vs6UNqzRfojR6ZhT6VpAhQ0knrEXLmo9Ldj8pAFz6hCv/VHyCR+iL33vigXUKee1DFOPEyjlLvneXhOEzjd2QdP85CeF9CJp+ob8NB1u4POmzxsfo+L7R90weB7YgcQf9fLYAl3nXa4k+Ic84JlP6oNMSNKDNeEqj+W/TRhEZNrL4ttBVstcHEtkLJNXIiU+/gZEz+p7cLHE7eiXQviSHUO/272KbC0O+t0/9mwkBX7XslFgZ4dBpDHq+MIjrZBq68eY/M6ytTzR2ouMabEtFGOZq/H+6pkWD1OxS5Dy9gS2DRLFsq0mZUvJFF1PcxUZqiEc8d76XlkPdp5erS+9YgASz3RHhxeOarqds2uc7SWpfxZYgLZ11vnh/+feQf/OaM2DlhSf6wgCLgVuCnJVOubJF3Wjoiie+SUOq8KNbcZgM5mAWdUgN8Y8EH3P8q6WKKmh7K/M7QJf9JxL0LCpNDSY9RR5+rXlbs09coIsdob3hhI5dNYqEVQhIH/cXYE/IHfcMTA1h1BPPBTfagKHYGJELZNVvAu55U1Kx8cfRJnsm2o0Vj92DVjlNfDXK4buyvz2E6bre3lIGbtMHQXENQ0pqVh+S8cs2XUWJ5vskAiVe8cMra5lR4qQLgCFUuAu3eSePMghiRxdQ0J93C3gEHrG1b1UljIg8EBVkXEGU9Sf2HwgP1rGabhPs59uLtbLega6a3CSzh7SEm3d9+owTaFTD5bzUrXnzNl4A1uubq698KjVdYlagvdzciSHEvxNjLwBrB4Xsgki/JKZ48WsRz8kAl1S5t7EU99/V04+XQPPetfQnLqkwjknoBem0Jo4gv40UO3LQHbg/R81bMucXr36Qj2C7CU+/GHK2BJVJ2er3jXyud8ScZlASupIhhMZcMhf1+K32ZkoHbzrRq6btThePTMQ8OWew3c8oCx+HxxnktlGLj97Zmn8I0CoZtU6APhbfh46hb4bxJQlDxKc8Dxv9flpgAD7DKSLL6G0fr3hFiVjC/BT0mX/MgkCrLM8qwaZwDI8HpWOQ2wmrn16M43vTwLFIkH0Qgz8UE9I6LGyVoDyGfNqD5SC9PksMGTcLse/bSG0ceaXyvfNy5q0Iyxc8GmFlF1anfVXFQjcGz37Ga4xPc8VhyDfx7/BEcqc6gRHpgqxWhOUdfqpw0Q6G6KAp7VdyES2OJHb8gVWgCWWYbQHFTKQgoRzM17cj5NaFVE9AoEnW4+Q9aGSrz0RD/4oSbVq117DbBpFTCYz+r2b5XS7jffE8b94Yex7Z5NVPcy8gsxxMNjcKk7vGRtwbCVAtofh2E/ii32l2HpZVTmUihkZuFLZ5sL6v4z2F4cdLj4JYbBwBKB8Gz8hAMltSG/26wPNvUEt1/dEzFyqh6ztqMfOSgJ3C3N15iFjKqPaS29J0ZCQ5BAd5vAbAa1T9rbpFoZKeFOJfrlCa9Em/U64ApEgy44H/d7VhvFm3fh3qXlUlZ56F4e1D0xavThiL1L+pvpcfd14YuazCYtu1tHJO7BpnPG80FEUEPsBlumNbOcfXeDNyo6wk+jzZlBJBdEdTaCs4dPwCwPozg/i2Hi0V58fpZA/AACtO4I0DmalbVeXKRT3evqdG0FaUh0YruZhylUmw8Y1IkaqPKTKj7Wo8poSJJerTot3UDJgWcFpd+3uoIDKNFkVjOyl/zjqUbmiDyNEyLgQvoA7gd/O7cTz5Z3wCAefCz5E7g5fI6H4c8aBcJ7wVLuC7qO4OT36jkBFnwJzX8FLP3+rLMTp627cE9cJQdGdVxqsF2VTF004IGfQQ6HjxnQCGBnvzmvSZA/+YwpP8AaobTUkxYSP7IkmB4+ZSB62ICgW1rqc5G5qYpqwgUD+PzsBkY12J56vuSbIGj93sgtoL2RL7517Ze+BXyds8J5dUUVTIRpMlSDet4dxfn+fB2F/Kre9K3bkH7/m1HtSiG4YIKXRZVEmSZ+HfOBHindjr7TMJNVeZqOnYcQ6M+i4AIvPKlhNOeCpdx3lqNgKXdmK2KOQcyHAQbu7BAQuedZnHI+h7PO1zHrPQ8nNI32m8qIvukkyqmjtAyz0Ku/WbryJE2sKgoyVqdr12BJf8tqtcCr1QIs5Z40TbCUO0uTr3VeBgR9KfdnDghs05L4T+13gKXd814VLO3OH1O9w9bwb+IagcFCFvfmgCNBeXs6DkEABcdGM5pU/fRSBbjZ7qDnU+BWu0vS+9bDYzNgVTJcv1u6wzg5XUH0pQGEXupD/0IntvaGaeEXpmfaw49yimn087L0+n3vcHH9dZ6MeuagAEu7VyoAA/GN4GQypWhYspiJ7w9p6NO5lsCo44E3Dr5CuBmrsrmGFprcDky3EXNNQlE9O+aBwVEVam6fLgFZAgEKpzVMTgow6O6/McBqemZpbGqec2nsLNWZY1JXMGfgX0siV4BLd78adOW9/q+Hz+DRCUJf6AIMug+TPS54J7RviMCtUy9iNeke4ZTBklhDC93Imi5mu3NIx2u0Ualhx6wJi1Z/c4EIZgNh2NTGfHcTSYvOsvRIJg15voVyDBAawhETa/0ELUjTQ4qmHFANPtBXhO5k4GkBOEbnWtkR6dJlermuhoFVEfEzxiD6Cy9yLWXyqtbwsKLprr+l0UjIdTNnnsDY2CA1oUByD7VlnSDv1qSvnRZx0tOy4AlbtoIPksvARVgMMgu3JPuBz1NdRHFXVVYGgw9fNwIeWUeO74Sbnm1af+6jp55sw8jodrx44G587a8/hqe//g4Ujp9GeOxv8cOvvhmzM13wJduDiabFLEbe9IAlzzl6apOMi9LzpdNCXAY2aLXTnLH1fS7Y7PqIi2t/0cXOD7ryLUYuojDGNrD5LRqS19Ww6ycFtt6rnn2VcuE24V+o5s/lZ8l2foOM30hp14L4w/Z78GBk2zmCuo83AYa+raGa88CbAqzikL8vNPm0homnBGo5yPqnLoMqmXoVaAMggIV4ARXXRXHOj13fLdFe+ckvahj7waVpw8Yzlgj4d2js10zQpo+QSUHCUNlTpPOyy8YoqLRK27kxkuPXMtkzlEodfOGkALc/hZYcMw5N6BTTcZFjLIM+VAyi0NnBHC1Auq0Admb6UHMEPpV5WbnXqWwAABAASURBVMb71pn6ZmpXvn6hfgK5/hrpXnsUvxw9v/YuGCnaUKpCEy4qBGbx3FOreUgRvxE2iwgz0EjtMTtLJ3oNDhaqmJyCfLvx+us3dh+d29+Otl//p0DPIGqFNNximOb8GRCbii8G3otnvXtQ0IhPCJ9BOHEcN/R8HWbVxvxcBazH3b9MBvqKTcB2P73R5Wf6SFU9ILcElvIHXnsv3GgS/AFVMVMfaBozN/gZFEW5CLd3K3gDoSFp0Vuqb34Em7x1E73BQkSrwS6FcNbbDAYTNV89TUcP+FdKj0FkY7LnxXaq/pI+pp6VUI/HJE2NVp0Fpy6IEI4Z2+AQj2cVToL5tMYMvoodBmEb4wMDJnpEnkwBwUEL9joAOd9HvTuCttDzSDhFxOaTePq5ED779zl88UtpPPbIGMZPlSAIxA8GXBgJdS2N59yIP7ZZBy8NchM2qqXCkiyWiGOHkUVIq8j4bo14SekDcrkaBOEQhnARoWurRy9xBKuHos1BkdWAWHJJWqcVx2jwGnC/tHIvLUlrDAi3ClAZjXHr+bXyWUlihgaky33qW0dPYCTchqf1d+Fo77/DLYlrVFqDfVtnGx4vXYcM8U1m+Tl5b7XyAqLjn0ZJVHBc78PXvR/D+zp1BOmSRA0IjqkxLL+zBv/thoYiL9rLz6BjA7QvhshRQwLtsZcMmPVvKJS7XFRjHjxD0TCYzoZPzM9wfitVkgNkuH5+2Davh663Q0yPUUrruHpb4OJrTl354gtpldBqAb8FqvYm6eVXfaXnVbSiQqmqKODCBrZBIypre7aagxsJYuHdt6O6dRMcy4Jj0s4xgSjD2X5Jo28dhdA8WEiAf3tuew6ViIPjxHyPPge8fNxDbDiJ/ppBDIODyEQAUzM6WIIytmsMhfAxzkZpeWTcYxj3voch5yFMe8/I+KS2BybCWOtXcdMyOSQ6pNuyWi3warYAS7nf3hGTp/zm6PorJV+X+/CIwNe+rqE0b+LD0V34SFQxZPwx1YJXRT9xpf83MbW/GtEwXhuHuRBGcJqeM8OFa9VgVIDAjINhB9gf7MOnu96BXRaly5pASjp/c0zV52e2duPl2iyCZ7vhaRGIsoHiC+2YnYogne+FIM6+Up6s51zq7Lvew1v20zNuAT6gPrBM8skygWSdv52bB3YawP9BGwb/Janj12lR+iABvz0LAqGKwN2hpeWvF7omAATJzERoI28dAPVY/TXtRFHgxClVMr8xwG8IcGiO2ord9cxIna7PEOuRvmbpozVXnpvWJzR+CpRC3uLbFl8emcJfnhjFF05OYqSzgoU2D8VaBF8+eTsipx6W+ZZbU8OP4iXqY1VBZW2v4MOp7bh3QC0aw6UaQE0xHExgLhCGVhPQ6G/ZOpb/Em3UGbRz8cmUsZxkSVivTGF6tF2ucQoRRdsdGZY0G1EjEuuhihF1eog6KLl83EB9lt2NSLlP1rt919K9Ks6OUO6HOHrwBlTLASRoodjdS9cGgJ9PBvDCwkSHHqSY1sEt4OpxdiAIJJeei7S0Gu3SURmOpsol7xvqyEWLmOrIoebqmD862vTa9bmXcOqV7ZQmEOol4FLoODu8A9/72gfx0Gf/Caan+xGIG1KNTDBBZOscTNN107nnt32Xer7WybYiOUBYJRuW4vQTEzvUmDX1nFpyRWluu/l9YWy63vBJpMvftSuqqUuGN2rNEzt5/PMajv+dJqXUWZKUwVR+VnebKXyy456mzyvTjRDYXstBgurtN3rS5XhWcZg5rtqg+05V/43W53zpwpqJfLBM47mLAmuU2GABmZOqPXNnVT03mG1DZKU5oEz8gaBbpOdU+ZpNEZTbB8nNeQ2CpggGahiIoaQNHYUJVR4T+5sw7GfDY2ye+CAeY0PC5KjmZoOxXDchBLpqNoo0d/Km/82zOxAuB8HgLQs6cFHTThHcX/SKiWg1ANs6V0dO32yq9ZEPynPcRo2nh4jUg65VUSh6GBoWBLx7kCo/IvNIptQORonWT0T4qh4szNCoSoZ5uvOtQCFXpdVaHobloEpg6XtCAbilezCdfSfGCfDUo3Po2HSc5geBuaEaqgkXNQLvWCqWgb6Nnu+cdHsKTftGHewW64B72it16fb+raue2iVekhMt4sXZbTShQRMBelpZrUxBJJAOqAHWbSO+yQ5K0pGzORhVE5bnwO5R/XiBN5ooNURk5DQ9hJuV4LBG49a43oU5nlu1EqTalIYc/Lyx4Sh+BtllwxLtmqtTW2tI3cv9jmPXNtX3fARtPceQ8iYRK9dgpDtQdIMIRSz0RAX2hIvoNefRMbh2OWulBgj4NzxXbrqk58pLSDVCEmJaG+4LvoC32weQ1EKL6dPjFeg1HQHbhdHkXjChqE2zg4LZLd3llhe7BTUayDxnhNZTI8uToRemkTzwP4hH/uaKtNUiGCD3MC/LNezN4N/8kRfxXb65NG79fKwT7xiyET5lIDCqw5rVoNFmG9+r7WGTcJUtyCGIjLcAO/MKIiOfh1M7jRGrHX9fvh93EGO6Nwz5Cw0ZcpxlwJufHRl5GSxfMt2kNZtJQLtjAwym8zcVcgT0L9xQxdydtK6gzfL8Vge8yZq9toZmz3CZAHrOKwwLwei7YE7QdX75szBHMjBp3uD2uAyX0CryCm4B7QquW6tqV2kL1IwuWXO9NiXdV8sKaGrH/0LVygzWGUqWcvfrbAY64IVtlDpclKwYci4tgK0KzE1TDLuApdDD6MOWrSOI94xgNuxihObSdMVFbtzEHd/fhdsP9qBnJEYTC1CK1mgDWq0o2rQb0SPegoTYQ8xLJ1xUwD8ujz+Syv61TEVkZLIlktJtWa0WeLVb4L7ediRNEydzBXz2zLg0DHj+t1eG8X8dOI7Pna6jelQxXuj92LtdhMMAS+H+40MaWN/0u0IDaNeCcrH3xdwpogRCAthDCz5eYNiTCWiuhlpbDvGkWvCG5mvgj4P60s4yU936xphavLEqme3REA7mZqFPdkITBsqDBcBwMUSM36MT+zCW6Uenl0fjM18vRjr8ajHXORIB4vTob9umzi8T65a/QMtnqdL1uCB5d5gCbw4I3HlWxzsO69gVo8h6+kacfkNDlNa4CyEPawGolSowScwhl0mXhonJc+fhduT4OddlZ01D62DMuR61vUCbtiZp08RXK3LUUdcXzJTBd0NEBD60uQe/tmsTQrqGQ/M5fHNoWlbnrXd2IBSzka2G8fzxEFh1jEwgi4GN35h+HLPDz2BobjsE9Y+fveYacH/s6A4QhQYjawG0KzMSakMhaMMt20QnECbADMt+4SjR1uPMgN2Upp6snNwkMrOd1C8FLT4A2tdFf1Kpk3Hr30JRhM3tSKdqB1+/J1PxM8ZS7uw/cECls7+ZmZhS6dzHG9ON8hAKp0Zw/NBNNCcJDLyNW1lR+NLtQWorFdOy/RbgtxLYrzlqXmb/hRrDUbyTYyqe5kLLuRrzdbCuJKq4tq8on+8TB3bI1/spaskx8qMqWKVSfFDDXb9k4IZfAPrv1KAFNBTLETmJ3PxzOoKJJdnWDGx/k4FA/fsIPddpuFS/xE7AoCoxsF0YV8/d8rLzYwKvfMXDKcI8fEB3Oc3yMNOdYv3wj9P8SKC5TkMQS6k/+ZkK5g7ROEXAx8fie5ZnWwxPPEWbjHOqbpve4S6qOBy830P7jR70ANBzl4cAbSIsZroMnhDVcyFRgEtjrVNu3j7NTpupA3hOBQTUbzxfs7Ia4xhs5zCr+RKaB1HjEBbbge8jxxj1ebd6nvrbcw19YO5ljYtaNJd6jGVpS1vTYBMPlWZmgc4UrQZxv6bA1i/Uea6hWpZSgFSRmA7y8XxEzuLhS7j7dIsJ5PlC7iQ+nT2KI+U0eF6lqCWHRwAi63CHALILxK/Q8FYlQDdGoG1H/wwi4Yikn572pPtqWo2qZBrfXjyfOsxPG4iFpgDdwYIexUAggTcbAuXirXjWuQ9Zz0SobRoRewYTE91yPMsQeJdvkIrFBn5HqkrIarl0u5/V2Xqt9OqnDku3qVUuwk939t3dlKRK69daiS5HAIZNFlHxWMMbe8O0QTd7jMZVAt2JI4JVDOK4UCpF3G1qrAlnvo6p8XkEiiEEhYvggAF+pvLU73UbSOxY/T7rRWpHOl/WbAcLjKylx70WVuUYOY1yqCO42YQZA+wODcFBQ0WuZ8eSqP3YR9ER+RFS9HBvyWi4aTSG616JYOBIEsETXTBrJgzawF2vqNXSjQTVh0Bz4QradKlLtjQQ2yKBOyj9bSEHJs4B7tlxRRuvC1igyU8vjslYk4B76VlmBcPXYcpMwtVLsOaeX5KqlRcQPf5lOMFhGNmnweElBKsErIVXQAszzJsd0A1aHC2k8dnZEoqmhXt7u7DvrAF7UiOwXUP4lI7oYQPJZ0ywSpYgrYn2JXpxtLoJsyKE4NTnoZcPYtqI4uul22DFtuO+lDqxnheyDA7ldtUHYg5cBsNjZfYa2hCLeWCAPXNTRYLpHN94uiptmLGapyyB7Qy6N6Y1+hmIr7SbEMlBRJIfRCx/JxKPppH49hhiT6nxtpG+5b/4FmB1aRPTcyiWKk0Ly+WLGB6bQr5AA1xTissXqV2+ol/zklsVeI1awNNj8sx6XUpLBl4Fy0RYAtegX8lTgAt5N3wMGqrerMfQz2RQmZ6hI5uwMWztgKMZsK49A0FMuAUCAmmCS+n7oBPd1r0noUWyONYFDPy4i85BgZhuIFW2YBGzWyUA0YjMI5nMyHoyqB7UOpDS9oCB+836T6JLuwtd+l3YyK/szksys2FyRuvXaoFXuQXe1dcmz8iqZdgw4MkA/HCuhO+Nz+G/Hx3GXLkqaVJJ4L3vccF6MjnixZeEVNfym9atHJS6ZlnSigO8cDtSnUNopAOaR4ACLcjvHlSMaGiSKYDRmqc8dbvkuBJw5eC9XUlwGaeGdYAWmF47UB7IonDtOOxUBelCB7768vsxfOo6zDhFztLUMIj5wE+4+Ikfc2GZK0m6ulQdZtVaaAkBr28n1foBXU30ZC8hXhbop2rH6HweMX8FcldTE/LiMSBDQEU8AHQQHW9mTNZB9776eqPZxsSy08GnSV7hXAGrvbEZYVlQFW2P2/JSeHPlX167GexyxA7abLmhJ4r9b43Bo3H7mckdGHpxFKmDfyKB94cXTiCen0AuPYhKLYS+3jA6UtTolDkcpYYUAumFJMKiioJlw6xq4DNGIjpRrDyS1HAerSZdOleizV5JsCxmdtiFoMVXMajD1QVYtYtWUR27am5apD5ZzazQtcuJ0R5NApLFBQuNm9ss5c6bWkMjAidOMuVKMzEhUCF+lOm4f/sUrKYjnHkIz/7gzXAIbeq7S0Nn37nrZb2/TOtLO7K/ZVQLOFpceoRHO+7Sd+GW7hAqRdkd840HuIeFSVcOeNeUoYUFMpkkcmemZZxvWYWXMHKUAUOBfuqjHN/da2L3O3Tc9Zs6Bn/Cw62/hPMC27mnWq1AAAAQAElEQVSMIIHzux/Qse3HPFh0bo67VCZSV6Mwf7x5idPPCZlQoXX4ma9r4CFORjSxGPyafFqTH2RlIIvB/N57XGx5n4tKZxkjxTz2vDSAX37qLsQJEGtSBKaepbY9LqBbAH9HiF3Uf6xfufMmD7t+1kVyt5rf6kmXxQnRmJmJqzm4MLGxU3AbEDa2SLxauy4SNPEMEXh4kjYsuKzG5NKMChl9rvToZXVvOBBIsQ1wu5vzPCMA1biiUylr23xfud7c3my4nMbz+4D2pRpjPcODQdVMuAZYpUwkou7nHVof2uuCDgyYH2G1FFT1eCFKNhCu08kAWSF6Lpk+71XhCygwr/ZvZ5/EF/MnJe/2ifln8C+mnwCrMuLv8kzV+aqQEYRlVCCEg3IJqFQ9RIlXM4WHQE8Ksfq9L+fpRJfm2FApF6JKplnB1bkKwqE50DIPM1pKCiwEqM8M0Lz+SvgmZAiE96wa4pFxLMx0w+Gb3qygdeIOltQ4yKoUm5G6fUpllDZ6ulmyjNMYjCfQ3e2l8bMujS4TGqxy2YFW0yE8D4VpDTwenfh7DWO0sZcdAmaJby85NiLEGwVKIQzZA4DuAQN9CIz/LX50UMeZ0UF4ro5w0IPdrSNznDohnaPzWk2OOeRteghPzX1BM4EdJiD1uEOgmR537ttcCHUrdhbNwK8l0P/L8cXwRjxeew8ib+5DW/AIwqUi7EpNZjPjOoK0uRDdayF1uyXj1rK0lw9A5DJNSZKbdRk/PaZJt9EKoGMxqItz58lNULtSSqhT5SXvikNzVL8ohumerkiF7I+Z6E1gtTJm/tklFNHjX4WnvwLHLMKxZmHyDV5C0TwgStQROKmuv/2Jlw/jWLwbbZEkfsyOQlDzeQaQ3+qA3+RgYJq6DOeQ+tDfMdSO8eztcISOrMhijgbDx2rX4WXciF/oDyOoQf7CJ6gQ8nEZy4Fvir7kRzXpgiXZWUKd63+xJ+BNgmpvCtUtm8FuTZuDUziN2qTSZnCx5b9e8r/1/b+JPW/+eTx54Jyas0effAEc718j+5nGNz/+c/8WTOOn/+CZQ7j3gV/H297/W7jlXb+C3/nk38B11fNTKJbwvl/4OG5/z/+Gd/3Mv8Zt7/5Vme7QPOTnv9xuvUtf7tO0yn8jtUDVVItErabAg1fz2qNiUJ6Opdyl5zysQdpdZXJmItllYzKYTeP9ZKoT49GdklEIXDsC/iWF2s03EZaA+fats4hF5pDO5zFMTGXHPTXceYuO6wZ1RAdKKKUWoGsVdHZV0d0EVNcIvA+LfgACG/lVMA/+BUQHOy3TaoHXpAVua4/jx7pTeFdvGz60pRu/sK0PLG38z/cMIkkINet3Z4l3/qglV5CicMvNLt75Ng8M+DEg/dS3QrgParHAizWme6w4DmsuRgxgECyVvrVPx+ZOA7amwczpAD1nJ4ipQ8Pv0ck5GWLQNWWbkGWM9EIXGpxuWhQHwvDsGjquW0AHBZk4O7Qd/mKTw+dr2pIqx3xauY32JAGbHGbd73zd7D8f00uXyVLu87RoWU3K/aVRTRa5OSbQ3aWYC1+tTEiosaTEnLakWt0arakG6afxbnWq1z6F1d50l6eRKcUghEBbm7VYKb7n3Pf+2Y5u/BL1RU6It0ex9+YUoJn47sg+/IDuN84ewL7Dn8MHJo4iW+iFRhuje29MMLk0yZSBUMxC2TVp8eXJ85hVQYC7h1D03Pmw7BdPWRAEHiUa6qRIltrCK2H+jCUjqwF1/7q6AF+yuWorwD3vVvF/zT2NP82cY0JlJrKiRE8O5mc7CHDPsFcaBtCvvcaT/hde0qS73BoZFTJqUJ1G+tmy8wdw/MA1mCNQQISAXW861xl48+rhglpkvSuo5lnO0zKqBTxhS4/mlKV7MZa/8eLWQfyLKetqyxsUqs/xeNm1nQZAuoCR5zVoDW8OZE/PI7OQhAgD3TuW9nHbFNh5g4lYwqSc53+kaKdzy02B88+4To52ArCZZJ5A7kaAlePmXhYoENBsRQE2DMhOPqWeUU5vNJyXAbDZQyq2bS8kYJ7YCdTCVfzVHU/hR3ecQDxgIjwdxGkClJmeAfb8mJBAPkuqztQB/n6ah60IXtNfiO55zaphPliU9SipaVz6V7OydTUygZSiaJQaVzFr29zmORrOynSuGdp8aKQupzUZtOrzqWjgMzQ1bKNG871RV4HiA+4eTaGzL2igYVvmb2b5bzjYVO/ooBqn0w1S7tN1/e0hmkea5T/fOF8KOOWoiuc9dTE5Arc/Gtsli3usOIbDFWoICqVK1AnJbXb4mwAzThEszc68GoPvDMTz93h2mykwIM+CEvxdnt+ceVxuFhf0OCyjRPOsA9Amc6XiIUFASMgoINE2hkHr+4iT36GqzallTbPTX/K4i1Ul41eoSHWORGiXhh5Zl9qA47nP6MLDB+ICp2kD3aEu1ZE4RcCxifSMApWZbqOG25vbdpDWqauqc4sl4bb3AgSoSz3tTQrXDx+Usb40ugwss/KZPDTaPdBdFzMv63JsYpJQN9B1h+qzZRYkq7oIFwPIVVJI33wXvNzj+OoPd+G5szuJJ4mhUxQRGxSLYw6X0bmb7dWNqNCDRckFox07aKfomLGNNv9pXCychFg2t/p9W89Rw1Me/xCUT+hL4/y0tVzW5959bwnb2z+LnYm/wO5rP48tD8yi76NRdL0vAj1hrJUd2pEDML/7eehPfrMpXWwzdQJKKY5WyF56WFpyMcIUiUV/btKV/li3kO5ySysv0CNVQ03oiFaa03AeI7wPJT1AtLOwpxU/GR56lO7zEZTNGmatJDzNhT37GJOva4zicUljhgYw/8oLeAgxQJj40EA74vWNyGIvg+0Oge41sDT4/G0VLFxHdQ170MvAL8xthZm+EWliNk+gB98p34r3DfYgZUL+TCrHXBBg4LswQIODjL26LN4kyNxURfoOB/NviSH9oZswf5uJfJt6m/vquprLW9tUIoo//PPPw6ONvtXO9K/+6U/jO//w+/jq//qPuGHPdvzT3/4D1BwHM3MZ/Mq/+n/x4HvuxTPf+FN86X9+Ap/50iP4ysNPyKIYeH/bm27GNz/zX/DiI/8Tf/q7vyXTXzh8Qqa/GpZ6+l+NM7XOcWW1wGWsjWsoJMCsTl3GszQvOqApsD/vqVesmlM1jx00IzKBGUjpIUunFZ3gpyRUoBAQ2ZNGxZoi4MWCrcVlHFsmge79+m3Yvvc0QloOT7+QxlTnUdTsCq5JhJHqzyKrFaEZNQxGr4cGCxfzqyIPFxVZzsWWdTH1aOVttQC3wNv6O8DqZW5ri+O6ZERKGd/UEcNvXTeIvqCNdLWK/350CD+ayTC5NPz67nvf42JTvwcpbfvkDvDCjfWIssQVq5OxZqOwPR2sTmZvIoJwlBg104NWoOdnYQHDNcX8c4Es3f7YpGLW7+tt4yg8lStCn0vCEgI/vksANuWjlFmrjDZaAZmowiYglSUCKfqCDq4TZ8zmqXz2NJjJKRXnS8E3JG3IyxI+huFhgT8ASjleWKbLnSWVR6kNdB3YGvKwe7dqj4m6hHtKo0x0sFQ4OWsevqoWP8+axK9Roq/2pqMwi6prwdE8DLQFV9Tmzs1dCAbUvebEvfvi2HMjbbYYFl5I78DfHnsTCgtJaAtxTC30w7RNdHYrwBSeAzbJlALdklVaGVAhNi1miPVHOFxvVIpbfiTrK4WOrnpZywnqYb0yhZGhHgoJFOuiPFu6JyHcEhw9Dk+ocz9eGica4JXqnAQuZKDBinSpuswNn7tWTt5NgHs4DN6TairlPj7JVEB/n+ovHNJrU9AmXsQrL91Ec4vAjvs16IFz6fw88oJ/t5nCbjvJWVqmoQVcQ/EDwp1viL0wr7/xUqsLL1xYKVdnrg4CBbjmPA/036mBe+D4mc0QOUKkKcEoD+Hok70yfvMtBsVcHYdF7GWIACuubaGBPXUIe5muA76D++m5+3FAtwAG5hkkZ3rfMMjMAHotBxhU3vYPuui63QWXzTSfyrwsVbMFCJx4589GwGA8l89gPgPs/EFUX1KV6bsJPGNpdva/liasqfuYDZZkNapZId21rOwZRdN1uyfbi9ukNLdWjnNpvGnht7nf1nO06eFT+B9F5XZdBPXq83uwXVFVz+pgUJXTGRDi2OnnBSYPABNPqrpx3HJTqG/Ch3o8JHao1MwZ5bLNYDa7zAuxe7HGr1sMuiwq61GHI1+ZnJvtTuwP9so+4697OhbaKBXgjVvpabB2WykZ+uuFo2Bpdn5GeT74eOoW8Pd42P3zzrfgtxL7JC/HxDO0gWBopnxegwatWwhMqdG5466DoF1AqDyMiDGJlD0KBtyr5dXbjsu7VIY3HCpUD8sCus/z7cPGOgjaPM9MR+haMqCdeQRs1UFETV0H7XuhENhGYKZAqm0EZtXC0EgMzX5/knkJ/3PhSLMkHKyo9TTfs6YE9Uivg/kKQMwo3gENPzEzBvlxUzsIZ/dNDSnKy8/F2GMCRx/WodfI8KbIJg389gyPNfwmTNseT4ZhanANExaB8nYxiBdmk/jKD24gfioFPRHDPltDGDUEN5uYPSTA41CY+nyoXbWLOuNSWyew3RMucrTuDus2mP/NGN2Qetz1MozS2JIMDGZyhH4J+0z1nvdAu//N0JO6bCvzS38G8wt/BiyotQWfbzWjH35WJomZOoMlQ+escJeAQU+CUwgiPUud71wSbCQoLQzQql6HSS4wzxszWYviPURWUY/DbeJRmZNeHEILyHzNrERwADN2L1ytBmv+IAITz8GaewRlawETNKhNJN6MmjAgKiehF6abFbEYJ3jjozZOfKKGgr0Nn6ENj6JpgVXJbLc0qUqGiVlKnN1GU024YAC6MOAgGIrAmXk7rJk349j0g7i3vQe3xtW1c57QKZ0dMHDvj2My4iq33N23oPoTv3CVX8Wlr/5v/NJP4dDR0/jeD55btfAUgfI9nSlsG+zFm267DqGg6vMvHj4p8/yTn75fxu3c2o+Pvv8+fOdxtcEYCQfxz37hfdjU2wld19Db1SbpY80mOply6S3t0hfZKvGN3gKOv/B0Fl71pjBpig+gkyaCCrLuaZzPLyRMsPQA5/ElXk2EoPP4H8hLpj6wZxT8i2qbaVq02LtoQqIP127rgQg6mM1V8dKJcbyw93MY3fIoxlJH4AlaGIQSCIuOxTwX6ql6alEfvARlXWgdWvlaLbBeC7TZJv7ZNQNgfeoFx8Vnz0zg4bqOdc7LUoy33uIRiAkJDl5/5hqOlq8os5RU7EwPHEeglijgOgLcUwkgGhAQjgaRLeJE2QWDsJyJpdv5HCzdzqbgVXH4lJpU9/VouC5MVAaxux6QLlcRTFA5lRhFUnimJN0LsbhOnC/dhB8/O8wptKDrVO752izhw3n0Xo+dFbrcWUKrYHsIhQAGyrkuPtA6PCwQFELmK6js0r+aVfAUUZu2GsVrHz/rqjq46QAcCJSCHvpC9i00zQAAEABJREFUtopcx957Uyfuf28SiZSNOSeGJ0ffjZdH3wGPBvide6MyNy+eY7N/jfjMX6KjN0hxAvZcAEIDzApozAfCMYvimx/X7ktizy296B8INCeoxxrpAyjNJ+FoAg4Vx/csYRyTqbXATumyxSA3u2yGall2lpgg9WGOaNTjzmE2N1ynGoul3J+njRrenOF4VnPEfZWBhlSbuuccH8o8goOPvR2VchBhqsLAHp2jFw2rCODA/eEBdi6peT0U5uhqLNEcAl4u4oK4D/LGi0eLZ5c2Xy6iqKsya4dOgxnVfLpWQrxTINQjUKY+OXtIAU6V08OYHuuHEdAwePvSPkrZrugjsUM9k1PPaYv1nCE/g1EMxie3ACzh3kUgOhMwSJ4bBzz6M/g+/B0BpmUgfdv7XFgRpgIYLP3UwiEcKE8Rf2niNxP7JL/K5ez6iAvWyc55AinI/JyLwykCz9j/WpuQMGUVpjoWpFuclc6qFrdBgfZfdBo7A+0efEnx/LhYNU9jwtijmmyH6IAnNyw4jQH4So59QLkO3DMo7gM9WlWVbdRVrQTSuiSuJTzpspWug/a5cUXLcctNvo4ZhmnzhcvnjZMandeXfOdNTc7Toa89hzDNRowPSva6qrxgTPVB/428B8LqzUIuy6gaiFYVHYeXG399xEA7p3FeBtk79CAHpeF7yaDwrQHF9HDfNGhNKKhJAmYJXs0lQI/6LvXp9v4s9GIWGt3+jgDddFdglhxZ0GW2mD/iU7DAB7sXajRnAbl8FInYCIGZwLTZJ4vSy9IBt382uJPWpBriiVEYWhn5cQ88zisKZReIX32CNtgfKQ6DBU5U7Dn7mZIa/6416SE+F73C527dI+O0U0qKWQbqlnZS6XZ3dt8MEOhejwY/Twy082Ycb/QZVBfQDQu0a2CQPUH8gD/WcB4O8zcevKiNoONIXe2nJnuJr44h2JnAXVYA2qjDpAgOGOAyOcBqqthdzWjVDPUKgQLNfczPMl2vDkg97h5gL6j6czwb12Yb0EpCeS6R7TIg+qFfR+22t9NJgxJ4t//X70Kq41nlHPxGgdzMoHSNNjZQLpJv6WF3GzA9F1Y5gEJmZmkihXr1t2BAfxfxmRaFqC+NaXLjI2S7q34wVatOg68+UKL7EOJFjsy6wgoSkRfZK+P14mGERr+FqpUmED4BJ3E/+mO3oqQTX22WEJh8WtKtZhm5s/A0B1UavHQvipEqFU61vq8rDGtWg6gB1Zgn+/5qZRQHHeRur0KzHdrLeCv2pzfhQyNdCJ7VZf7AqA6DNjkdusesL321clrxF9YCp854eLXNmSE196xW4462BP7pz/0EWMrdcZrTPvH0S1Iy/U/++iv4xB/+Nf7tr/8sDF2HaZqyWI3GLekhi8H14VE1blJQHiPj0/j9T/0D/vnH/wj/20d/Atu3qPFaJl5mS7vM5beKfwO2gGN0yqs2XgOVMnziqFCvu895h8GS4By3UVNnHMFMIufRYEHXTNgdZfS8tYycoUD8kNf8Id2s70B+RxfmvSRefmkXXNtDNjqJdM5GybNgJUJc7EWbkjcvyzDE6hOsJGhZrRZ4jVsgoGt430AnfrJfjQvfHJtdArrzBrMPDprHunCTo54tay6GQNmGMDwk2l2wuhC+lN42AVdzoRcseIUsRoi54/inpxfYgS/d/qW8g/BkFAFiR2/b7qKNZrsk7YZ7RDVSLMONuDBqJqUKBKYN8IKHki7oSNYFfufUYynLyOUhNxEsCxcsQeWrd5kPePA/hulLuTOAOkm8BPHuCIcgr49P7NMNjQB1leSYa867MPmiOV5V3j6DGkp5rzh7lBbrXKkoNS7fx1DcWOwXHL+eibdHkX97ASd3zsPzNALtqeE0HTuvjcqsrFLFqE1Bd9Joj84BgtqiSDeQ+ptTsmhJAYQjBlb7xaiY664zIMRqFIBGgOzZowFaWAKOrcHVBVgVkFlWuzNla7vMzP2RN51kgCx/E5i8i0diUEh/OV2UbqO1nXCULnrk8tQP+VsJ33pE4O8+p+FrX6drIsJkAuANL/LCKryEsRfiGB0ZhB4QuOHdBkcvGn6dnedElrpkMGUxoeU51wJaQPr1ugSpDFyAxW8/cDZHi7PzhjebbzXks3L6hUFYpeMYO6L6fNeNGvVVHgWuniZioIowCvgAKwO8s4dU/TtuPHctTMeAFqd85dsz+H+/fgJP/CiD4Woex3ePo3RzBseQBoPs/OFn1qPNakGY/sPRnejQg+yVhkHpMG3YdhGIv5VAegbg2eWwJLhCrLAwkYkXpPoIH/BerWrZMyrFTgF8faG6hHK2LvWuUpvb+TEhVWRwvq47PXBbJ3Z4EnRk1Tt8TxiA5HQ2DJhySVqZbSBI5+Q35uIQMqKSUpMrl7tQquHFyiwOpefx5ZPDeKw4uoSv4HJ9KfwAbRRwAZEedd/nj3OINk+qWekZ5C8/St/FWZ6u8keF8uRQkRHliqo/9xVWB8OR2wVdHHl4A5icFQe/BWxCB88DH0/cigcjNMmsoFIRu62k9BypzKEkbFR0A9HAAlyaw2MEpmjCQ7J9jubUBeg01yYI/BPUlPNZme2yW3NpdQr+rpDyXZhdK6ThFsOw7Dw8atKUGQQDjlyav1kTszrp+i3okSKSwVFMj2+CUZlmkkUz7ZQW/awTf9opLoZ5/uVNDn5G1nu7zO2jXTvKqY2ewnLQ13jhB5QCuFuula5vzR4Si6A4Pwt2b00mEW4u3WYWg+ftdxsI8JsKhRBqCGHb3g7c49ioPqv6WPs7Kd415HjH416kF2v+9OoUXA8YMjchRXwRE99gCaymx71GPDzTmBkB7dKB7pA/2pBgFTPln/vXcHiDgiL1x75GdvNDf/o7SxK06fElYQ5oxFvFe9gHpIdM5WmwDWpDA5HFmOKwWtPE6qpoFhMaPKI2R7wsILIaEFXPHFb5VSN3EIYRgWPkUaV+mLHCGIq9GW2xW6AbcWRit8ucekkJf8hAE8vIqfRacADzmQyKpoVUICD1rtsTapyptNPD3CRvYxSPrZGdcygUHkFPJ4jvBkJDOlJPWgif0iVpcbAG/zmSES3rolugUPTwlW84r7p5+Lv0cK9T+w//1DsxPjWHb37/R00pTw2N48ALR3Hk+FlEIyH81d99AyfPjuH6a7cilYjiN/7PP8bDlPcfvvZ9fO5r31tRRjZXwBCB8OxOTM+hWlVj3QrCyxBBT+hlKLVV5Bu+BWpGl2wDncAL6XkVrai2BWH0EZiSx6SjGIyNnt5/ZfJsTU10nM9CAkbYQ63nmCxTg0UTy+pS6u/Y5aEcsDCa7YVz9gEkQtchO7cZacThA3O4yF8VCtmzvDhav1YLXA0tcG93Eh/a3C2ruhx0Z3DQ/5Bq5MntckEXnEjAotVitXMBexMRmY+t7pQOV3OgZW1ohCYer7lgPfGstiaka2DpduIn8NWFEsJzBjYFPQwMcE5gpwl4lkUWMOWWEfMUyhzPmDhbzSmiC7CjND5wtnzDq/C+BNVo7yh+dvJbYFDkUwuH5CL8bG1jq8qgAPrqC4/QbpdPsSjl7uvhriQ9aJoHHyjfvk0xNcMjArzJwJnmeBXDnjWMT+PnWYP0NUsadahB6OyBeXXfUm10Lym80YNBbNZDPrRzFte+O4K2zjC27IjDsjQJhIdy5+aL7k4BT+gI5YR8pTflFQgcAEzb2OjpmtJZxZcweXwXpWmoBdT19HSUYVaH4GkBOBatPCjVl24PExBFwUUdu+z3jf/h1IUpa4XEHNO85c0u3rLfAz9bDKJUaB1MjwwnYWCT6icykB3GCwfuIq+GLW/REI6pelGEPL6QPyldVj8gPS1rRQu4BCpxpFabZ+eCjeFMybznPpgqg28Yq10PyGv1Aae2PQJ6GJib6ULp6As4dWwvQGBn27W4Kn8MaHHF5wlgHXtUYy9Y2pxBcRmoWwxoeV1V6Hkdm4baUTAqePj2Q/iHbS/IueQT6WdoLhmT6kAYAOVn8+PJW7E/2FcvobmjW0Ag1TzttYxl3f2lUIV4bA/Vhnm0WZ0KdbUs0c1qDItuVlSFCUjgXIVW2k4FGH1cjW0dN3mwIoqmnfwG+XkjxL8noToQ7tjqHFod0NMoPGjr0GsCrDKhmnBlIblhgRzxEzXTQcVzcPyVEm2IvIxfnvqevF8Mvpdm1Lm5/fk+cMbUXlV+blyl5d0aRyMkDOlerOUEVPlJx1RFharSTTcMUz8d2YH3hjbjXdZWmbaaFaK56I/a78Hvtd+N9YBfpuVy+DkO6TSv0ewZtRdAiDvirIZEryBGQLuwZ6GH5tHZMURzGLCwoOrLeS+nYf6Iy9/UOA9yxHmaUtZBGHkEggVUNQPzRg8B7upeuroqrN0MYEinNakGdLSdILDdwORkUSXW7bNVahvy+/P9J+YOLKqRO1ydoxTQs70OYs1UBBS7feo+NoK+LIHNADx/LNXtV+lMzs+E/2bG4P0eeolf0ImP5jS7/gYd+5uZjtsEAv06krUythcSGDjoYOGFMjRbQ/f7o0jcHsB0/VsR/rjXrBw/Tq/Mg+9+UQTh86HM/66mx52BWH4GQT97khqX3Et+UHvW3v5+uNEktGway4F1Ph+3rZRuJ1ofnBcz45y0wkSIr+TI7CRfKftWN7MjqgMl6x9bbUapcd+g7pauRuHG1gbcO604RoLXEJ/pomiYOB25AYOpty0Wa0evQ43GHc87C3NhZDF+uUerDMuoij2A47Clf0fEBm80mQsC6r44Mn49y+zfgsH334fc7RZYvzvfT87P+VhKnsPsb5lL1wIGrSm3bhZ4tc1AP3XUdS4jHg3jYx95L/7oL76Aak3NhY1ZPvr+d+L3/59/ij/6D78u9bh3diTxd19+BJzv0//t4+jtbsenv/AdPPsS4XW0sbupT62n/DJ27xjEH/77f4Z//Jv/jIe//wy+8b213+bw810K9zKNUJeiaq0yruYW8PSYrL5ey0j31bZS+j7oCKOCecy5L2OjP/+VycPl9GIWnZhMDmQ9JVYT1TZzEEeJOXi6vFJX2x3EbESucVAl1uGp5y1E7Z0Yq3TLVwq7OxVzjvP4FbxRlDFP5eXh/3wJ94C2dDDx0y+r2yq81QIX2AK3tcdXBd2vv94Fg4LBUhD3DO/D1olBaAS4O9ESrkvSarh+zs3dOlzdgV6wwCLkJ4o1PDym3kPe36UYzkeKDsRJg/I72NtrwJfkvd4UEKZJTyZQSTpwKyF4nodgUcdGQfB6NZY4CXVazJ4bNjBEC3AmmgjNsSPLZynETy28LBfgv0ILcV6Ey8Q1LF/KPUM4lC+9/swBgROnVCYv5kmPv0DhNwZ4Y69SgdTfHRJCpvvqWGRgmeWnpTSBoCJfRnFlBGcdD/FqFuWCLSvU1xmUrm9Vquqav/awi9Em651v5IfAr+zvNlO4u6cD73hPG25/U1xmD88/JF1PC0hXdybh63XvzJVRzkUlIJBMGTL9QizhlVKq5U8AABAASURBVJA9PglWieFQWy/EdVnMts66xJDeCU+o8x+pqs70QF2KkPsnbxjIDHUr3qVJ3/xsBy3ip6W/0eJ+z4DCLTe7ePAnXfz0B1zcdYeLG673sGvnubno1FPdKNNzF+4R2HyrKtMvh6XrjtCiLkzzYEudjN8qK11PS6hI2shTnguzdWdBZnyjAu5hAq24AYr1jzvaNGZ3blfP3BPffCeqZRvxQQ2dferZwVX2S+xU4/X8cbEoad1+47lnsfFyjtwyhIV4ET3xIO59fxjv3NUlQbd2LQg294cGwSD7Jzvuwcdie+FLFTeWcbX4O/QgMok8gdU1sBQ4A4Gr1T17Vk1SPoinEyvAKnmYPqvYdPauMDPPaajRvjrTNqrTYeC97x51Xxi054xWVJ2DpTA5rNf1REc1DRECLGq0ib3QX+MkCfLzh2grBCQfun4IfC17093geYbHTR67P509hrOjCmQN98ps0mLw3Qf7CwS6syQzJ3AZ7F6s8esfEbosKkubAjZNn8wf8HzJkYbQ8NPRnRhw1VwYCXNscxOjxmb65qnnYgfNiAzwtYeoKYt6CG/b+m3cEhpFmObxSLiMsD0FzSiiRmB8nPgkQaukrJr2ZN7LZeVoKcXXb1G/WetaN3L+uRkNoUAGwqzCpXYMm3Ho9c0Zz1B9ijBpjNmDlC6QSozBKgcwX38j0z9HgTZp2L8/2Cufbe4HLOnOcUcqqlFutjo5uK5ZBNxPn1PB4gPF7rY9S/KzdDs/a/xM+Jt+6Vm6YURl2mStc6TushCkureNVZA/68KIahj4lRgi15jgtz74edKpndvqG0trFac708T/AFmjfZEP3WECGaMbq+lxL9fX1Pak6t9rlX8xabUf+4jMbvzoO8CCuh8ygiy/bWs33A2vXT3cgtXKUNryI75F1TM9ZBE/WVqevBh2immU50LQ6FZEu8laTFnq0YqjMsLKOYAdkP61rLbELRgO9eBUZAe62u5fbGfOEwjuQDbQR4B8Dda80n3N8Y1GOGVopToYH96OsbTauesJ2QiM6pK0FvIk6C4D52FVafMyt7OG9K0V5Lc5yO2unUfuFulGW8CygJ+4X3/Vzf1v1zZUxZ9539swN5/FP3x1pYR6YwGGrmPrQA9OD0/I6MH+Lnzi3/wi/uaP/y3+r9/8KFjy/Y6brpVpyy0G6Dva4picTi9PumzhjV39ZTt9q+DXawtUTcUYmNXh1+QSTYTRq78Z/Jv3Xt6wPndesPBChpkdn8kxkQD/HBCXRp6Q1wcGPr6QfxRfzz8u/RS95Lh5hwc3CIxmgSOvCEzOqQkzFVHuEuI1ArxZMOH+AKPOtzDsfB1nnC/jLLlcFw0WTLpOtH6tFriKWmA10J3BwfveoYCHwpE42pww8noZgWQV/aFzjGQ46iGo6fBqavo6PjUjJdxDuoa9tNv9VNnFPxarCM6ZiGsO9uw81zg7TAHPCsCjqGmvDKNmAZ5APGMhXSpT7IUdbUmVz9eLygvZtOJDke9SgPtHoteAjb+gyntV+HqxVe7mdj8t7jnleNWTQCn7WTqLF4yxDkAQcxsiUD0osPjbvUu148iIQFJT0XOOcpvZozVuEaBfb5Z65cSN0DV0laZRrIYh6N+ZVCtCXkD/4Ekh1aX88CkNp057ePIpsaTiPGazdDtHPhjexs6iMcpDMKtKwrwYulnGmxSXaFf97r2z4+isFSBo9WNehIS7nT+Al15kBlAgulOHQ/eWN0cijgLcq8Ed8txsHaTrZPdmuwMM3LDfn5PYz0YPeDACmgQhs1PqnnP8aoafMX6b5IbrPGh0LUynORnMTcfBPWDLm+udhRPqxpduvy80gJCg1W89vuUsbQFXt2WEoHFFei7Q0mpq4HA1BX5dYDFXbTa/j/H46F9Exy2e7J9VAttBz/3WN58bqHCV/Rjc9YFirjpLWjMgxf7l5lvaGTz61kPofLCITQS6v4uewY8RsM4AO5sPR3eBedbl+a7mMG8wcP3LddCP/Y2GQTyHNpND3UBju0U38wgG2sQQjeSLfs43e0gFu+90lafBZrCxvUGtj51UNMv1RAfP6tBoGJysuaiUVAHZM5Cg+2hHGsODM4hGdAyW4/jfcQv+rPMtuD80KDd6nzgzSxsKLnwVOCo34PeH40dUgbwG8dMuhevQ0GQKDV01G0Wqd0ebaqN0fV3inyObU21oW8r14y/EDdFc4QswTTlZ5GgjWwgPbYbih6LtVeK/plCiuKywqM3SMLQKMhlVN1zGn//24cXqb+cqVucqCNnzcDVgymhDG7nC4RTA3+zgUCG4HTR0ob3jBPg3firIzqI5W1Mbre16EKwXP0ztxwIarM/d3/Ae5MFjMcfqHq8u4S5G6lIZ5aLUQw47CKfhY6msPsmXbm9UaeUU6CKo+KBa+pJv9SM0aEKzXOKNPNANRCGQQG5Kkxn4rQ/2JIgHb3xWOa6Z8ZyCjC4ZS0/cS8M963FnNnW5HncGaatxD3oZsC+XlDvVioF0p65aRoLuFMcHA+uL0u37GHDv4WiIZaC8jCQr2KXTut2FVtMxsYaU+9RYmXhSC6bnwqY8lLXpoTnTgOdhTnRRAwSb0jRG6qE9mIi+DV7bTyNqLm1npqtGrmEHeu456S63jDxtingLqGgWdHsQowVqeCLaEQ3DnFf3vTjoUMyFH54BlHoduJdgHLrwWrRyvlYtwB9C/c1feT9+8Ex9wm6oCAPxrHKGVct87Vs/xN9+8Tu45/brJcVsegHVmgNWFfM7n/w0UokoHnzPfpn23KHjUvf71Mw8KrRA/9I3HsfZkUncdB0NTpLi8lvq6bj852md4Q3WAq5Bgz9ds1aZJPu1OUwCoxNC7eafjz73+8OD4N83C2fZockxJF22dCozqHXgkcIZ7LDpYQ1Oo+BOcdISc7utobLTQYZin3lBoAwBj4rpDVLEBg/+6CtvFjC5hQQ0AtiJxQeD7aCfLZJkt44rrAVa1dlACywH3b80pJ4hlja6nsBALiJbq6HWlkNvKADWA89xbFLEI5r0NIiSDjgaRDYrwZiFaAL/OQv8bd5DdspDnNZ1XQEDqTaPs0kTFMCOSED6M7EKarSaDjsUSTHpuRLZF3bwJgDnzOZVWXMEFjAgzjq0a0aNk7A/2INGwIQX1WdrWfAr15JgFWu7qcpkKXRuH1/Knck31aWGfFCd49h0ExjB7hAB7k5B5S8SU85xzYyv472NAOBm6VdKHKu9CeSrKDsmKrTIi2o2Hv62hi9+WZOqdlhdCrc561LP5YSU8Pfr/sXcKeRpk4PB68bX4YVXQjijpNuL4TfBMdX4D7eMzm7qK0LHqXQfqgRWhKMmLNMv8fzd9NlhzA1vkRndOujR01GCUd+YLgf3yjSWKue6ch/p0IPwQbXlgDsTR7rU/S3NXlj/1bNnMT/bQTOUho5N9ExxoXXD9fAX+/eHB+qxLadZC7h6TEbrLs/60ntBllZXw1erCy1cUCFXeSbu93wJ/tjY2WfASqh+7tGGa2pQ+ZnGk6M/+87fMJj1SLEurXf+2S84R1t9jgukgEZJ68YC+dmTY4BOz7/9+uf1wvU3G7IhJQVepPm7sT18vw/ihXrOzeucFq6HfdUsHNdoJp9WfYZBdW73xjTfz2p8jAgghEDUnwZMdR5B0zgDeuaCIB4cmK64i6pv5o9r4N/Z7ll2kOpV4Uw9njdGuE+HMjYmawUsr7v/1sPCsKojj/myoEtkMfDLU7tNqHCawAYfUGcepdkpTKtZ7PnFnczkYM8GZKYZp4iSTp2dnlXWdc6RXe1DtHGRRZaA+JowEAwRvVZGIeeBqojL+btU+tu5jsV5IBEbA+jWzRp9CJLLfQX0Y+CQHHloZrcEKbVAGazHPUOb3I0qVwsudTCi7NAD6KBn/sNRBQT5Uu4DRnTDG94uq4yxg9BYypqAX/35H1DJxC5vpc1+ipcBsmaepb5cAfjjwbzhRFHyKGVUn7cSmgyvZRlE03GPifhuDcn7ooCpYexxDZNPa+C3PjhvvP6xaPavZfS65LRptS0h8/W4e9TIRuX0kjQOlLscdhA8a0j3cln8EVVWLaMfOQjtyAF5Gr9tWbod1LZuhwLcpQ59SbHUsrt1BG1PgukLU7mliQ2h2WF1LZFuDVqAOlVDmu/VygugUQg1oaOd1kt+/FquRRtvu5N3YtCmhVQTQie2n57VAGH4adjTK7UDaGWaLzUXFbsL5aKDUZfrpqGzaMGksZH7fDXhNin5DRHVushL1AIMlDNgvry4//o//g5v/8Bv4b0f/W38yV9/Bf/yVz+ADz/wDkn2N5//Fva9/Rfxtvf/FmbTGXz+z/89QsGATGNp+L/4zD/iLT/1L3DjO38ZH//dv8S/+bUP4ebr1TgriS6zpV3m8lvFv0FbwF8sstTga9kEKW0PomIzHOQx5nx/Q1VhiUImPFCeAi/4TEEcOEeQ4bJYUvLJ8gmYwqEYYMx9SbqNFks5+FLuw4SDVJnRJOCP4xvpVvOXMY9Z7wXwL0GbBv36O7FZ/0lp+sjfIW5Fp7iDk1um1QJXZQs0gu6PTaXx348Oo+S42He9B1Ytw5JY1a4s9jbob/cvtDelw9VrSq0MRboeWfEkLUgEtukOrNk0dJRw4zZjBUC6g0B4osZcxGEHOoG37EnPlNm5IJNKqGzptHJ9/ep6RwESNNGCVDdTJdbta20FovgLqnr0CseXOh91PBTpOlkdiK4DMcL3am3qGny1M35mBuYZeJZhWhCy64Pq7F9uRqhsjuvT6QTsuQINbzhwtcw5BbEFUibOHDcwqfZqwBsRP/YeF/yWxO23CCbFCy8pFofH8W8U1AbqR2K7ZJpvsdQ5g6RVcwCl8M2oWR0yyXCmkGyzpX+hGpSuaanyZOA8LaM8hKnjgxAEenRtBvLkchGbuycoroSa0QVfnczBirqoWwPqTbFrrRST4kw1K91GK9ajrjU7bTVGb9ifnXClhLxJp2CJ+caMj5VHZbAl3S6bYU3Lv3fCpQl/TcrVE3nzR3cy8LQAjW9vTAl3bh0ffC3U1cpw3I63a3BpVB/kTw1wBJkztQV8ZPLb+Fp+JQhDyWse/HYRj73/c+Gw5PPWJL7EiTz097/Vw+C7vFVLXj4GrEq4ZsLVkxiqA+7oVsBjjTZMm9U+c0bFhuubyioEBGj8YrC8RhgWq2bx49kdfUxINTWcvp5qi+0/5WLbBxzUX1iBS+AYl6GXBXxAbzrg0JqC5mPC150KS9XTeG5UcWZgGmFhoneXwVng15UDv125A6GahdFgFl+unOSoRcOCy1x/jc6x6Ww7OozAYtql8LBqE1PTkHANzBGa3V7f7CU2aUnx1aqaS2xLuUsSzyPAfNz/PDWOdCYIo2KA5y0GPLgIQ68gaJQRDU7SGJdHkQDmqiCGxnDRGZqA5wLLJe8536U0wyPq+ljd2sWUy+N1ZjoCK0CdjjZpLCMki9MWVcrIoLRidicyegReoIZ4ZJw+0XrlAAAQAElEQVQ6TARzaZkkLW4j9jCwzu7+YB/2B3vZK80tdV5ABjZgue0+8HsSxgsKcHevuXkxZ4WqPH9ctUPXnd5ifLVUgEa8Cb8AZ9gqfTFxFU/iLVF0/0wcXXcLdN+hyuK3SfjZCNFzyn17laxLooVblOGCvhRwZ6GTY8Y21KhvWIWlzw5nYD3fDrFqOrHwvCnGcZfFxJJw971JFq0//QgIcYZ+SqntcerS72DQfT21MnWeLX1W8e+ywGVWYWxexrQNSKepZZTGZPykF0fIDEn/xVos9V4IbYGn12BmVuq31gtH5SncwFaMFWnwo1BfOIB4Xbqd7wVFtY5WC5xXC3z3c3+Ae++8YTGPbZl4/Mt/DI73I9n/8vf/P/jmoU//Ln7hp98NXVfrsl/58Hvxzc/8Fzz/nb/En/7uv0RXR9LPiut2b8Uj//D7eOIrf7xI89H337eY/mp4VC1fjTO1zvGGagFXj4MBDL5oszzMzmtmEtoeWqaFiUHOE4j9/Lr16NCDi4wOL8h0cW4iY/3trAc4qavJkAvLehMoedPsXWLuD2oo7auhSLvynGDXX1Fl/4J3Eqecf5D1caEmLY5nU0UeE84PaHFZQVzbCd404Hg2GizYSCCqbYEuiMPAlfvjBe2paubKrWCrZq9+Cyw7I4Puv7ZrE0I0YZ7IFvBfDp3BXLmKB37CRXovAaSGi+uaAO4dMQMQAEo6NHI2xSP49YSB301quC+QR2JER1To2LaJU4mg4dhOzCE0HY5ZRcXwYNRMKkogMKWDJc4bSM/Lm6zP7ZOTAmfrQ145pQDSzWZ0RVkPhLfJuMPlhlWXjFlpbTf4YoGRGsBg+oPvc/DudzkYdVR8auVlYttWVxZUrX+oreCphZCMXGbNOioiKFR5KnRl2b7am0BGjZe9XQGUK+qaWC/53Xd6SNU3Pq7dpSES8cAS7/z6+KcySlKHF7D+a+58daxOJVhQuiqLkbs5SoLeDHgKAk5jgRmEoufAj0TKkjQXYmnzP8LZo3vhUW/rufPcRkF36LgsrhLYLl22nikpwN3X2errw2Vpc97wZRrfJAbUzc+PFf2o83IXxmiVSjmSDVLDFJQgJL/Szv6WdDu3wvrGIb6HqbhfsXu+RnMWZBbnDapORl48WSECLcmBL/XJ/p5rDbzpX7vYcfs5vueJ4jg9T8Df5Y6DpdWZbiOGN+C+mDsH3DxcGNpItktKE9viQQ96q5a5fAxYlfB1ktCuqU3NXFyNY8WZlRfGut0ZUNdpGG6UyPUpI3Up9+zQuXls6lmBDAGLnGczbciy69M3c4k1gBU5l8ISm2wEzb06DZXVmIfaZjVhcl1mD6lzlTpLqFk1tBOAHKJ6MLjP6VxnLs2ct9CjhTDbngWvK/gNBo73TWoPrwRc7DzSh81P92GMNgl8w9fgqGnPJz8v16UpTKdqphxL5gvHVf19FXgykqxy/RxGXaqfoi7o+MboDAqOCzA/QSD/UC0LncdGCtt2DnawhljkDFythlkjiRPmFkkbDafh1QQq9XrgMvxyecjyLWqKSPjiTsDjdS4fJQB9gq4FcOxNskCtzpc59c0ajuwzBM7Qpr6nCXSkTis97jMLnCQNqzFlT4eungP2fyS6C/xcaJ7A/qAC0Dl+I8bdukeS6c//EAwMu9EUpOS7jAXGGj7YbEXqkeTUWP1MTYdG/KKZ0Cjm/I7UHg+997jwn7NGVTVrlSQcerjcHK17NYStOjNdz8BCJ6zHPaMTH62XYeZWjtfFQXpAid6+zLrcnX13w40moeeKiH7jBYiKgMtvDhAYT6dXRywhXbFwDieQEXUr0kkPI/mz4x7ZKw/NyWBhMi7ntmgdnF9JBWjVaVDXQLoaRzAUbkZyQXEirnhhrXgUWnlBlsFu5NTDMBdekWEnvAOjdQmjbWF7UZ1PJUXPvaRoWa0WWNYClzkYCtrY1NsJ09CbnkkIgWQ8uiZN04yXKPL8R9NLdOJWMa//FqjWmQ+rtFIC/NW8ehNhsD53jcDqjHsMc64CX7DGzwfDGHCYdzQERRdiYjuqngVenPUaeXTpIYxWwyh6taZlttHTtbWbmLs2V55pa0pIl60FVy32MlSfIechmV+x2xWwJL5DoHsAnWgT+5j8qjO8mPib7Cv45PyLV13dWxV+dVtgezSEf3ntZiRNkxjHKn7v8BmwxHvZqCFFu9wp21xRoU1dQsYJp4qbaXL9pb4UdtTJvjY8Bb1oIUH5urtXMrRMFwxY4JSFWJUWI8TEAwgW9SUAD0Wd1xENc4mQUksM9PKCTm8vyjIaF1EygiyOY/CXF1rrfTx1Ey3WKAuOs4gPeQK2gGUKFGhRREHwWMNuo+mmsYfDRlagRovYtSTc/TReFHKeK9H4dTTzCizoTNjU1qofpJYKRMnq33C9uh9fPZIGA9VhAvH8cV0SkMUfSmVgvRy8DjV7gGLUUdM7pUevZeDrcecIy9bZOW9jlIdw6rkUKmXaLt1M/SygyuG3EMKuAtxrtBjnghkM5D7B9fVV3zAAyapwOP1sNcfOogkmhezL+VwMja+oLxKs4eGFXXokLPO3Lduc+lTDJgWff41iWkn1FvAEIVvk12tqkUre8zr06qSkf6N+MFVePFkddQnfaadAoXMHj9vnQoAPSofp2WYQc6OgO/ftvFdFex3k9ctpLPu19DP/tHwMeC3r82qeO9CuzlaeU26jvXBGjfeJVd4CT9Q/gZFXgp+Ye1lg5jmVp/9tHhqBRS53o6YROC0OOgimVM5KlubgcVV+bldGRg7WN9d98D9fTy+MA3HdQm+fYlT+dOEQph3FH3DGUC+tFVwXoYKFyOkIWPrYN3wNJ7+kIT+mzoVlvwpNCVPPCALpNbB/WTL8+keEJpOy1PfZUyawkF3fMN/Cftti+8IMC04w/8a5ubaao8vrzOlhjoJpFtEZGoGhzaEkdBwyr8GCEQNrpmgPTMOpAcsl72XGS2RNTKiCNvUr/kCFLsyuFdJwi2GEgrNg4NMzVcfgzRkukd8sYJcN82gz1jZJl0oNQ9AFj58JcpJsH/b44xH72fC8+3vtd+O/dd4L9nPcRo3bT5sYRCzVypDr7r6JbHVwPypQO1B3RPuNan2qUkA8FQhs18G6w/WA8KPPy+Xnc+tPeOi5C2i2MdasMK0yA74jaS1B6232LaXabgBDRh9Yj7tRGl6aSCGWrHZswMwImPMaxVy+o/ZjH4Fp7UQg341w/AE4Nyipd/+Mbl3CfTW1MjHiAQ262ko6hJkRuhF+xrqbmZ4G8lGYFI4MGmQ3PzRHDZJ2qYqXFmr4fw4eA6vn5GeQ3zJpnmv9WC2wFQXCN1wzh+DYY4gd+RwSL34Kev77qOo5mcY0vsDP5loE3OdrtAaqttTJrN/ALYo3ZAtc3lHpDdmkrYv2W8AxB6VXryppPRl4jSyTQPdO7Vbwj/WiZzwFcnC4mWEwjKUhOY1B9x7tXrRrN4Gl2z2UCGwHOvUYni+1Y8YRFDPVVMqdhbGKtzko3eTA7lBMRNGdRgXz0GAhgE64HPJeBgPvw863wWC7TvXt1olbwdX581+H5kVjM73DV+dVtWp9uVogReD4v967GXsTEbBk1JcJNOdzcZjd5aYvZcCgJ8ip2Hhw3yCSYbVwYaBi5OWgTNu/h7jv5Rnr4e0hBYylo1XoVQvE+yKxYONwRTGwdbLzchJ1oZwXXhIyHy/oWHcpB9p1VT/2NxrW6c7hx4q0GgfY29TwYoMTRmkxyq5vWOKd/X2Gxs4Sw9JbDOiGKoDjeJhVOPUSGg6wmhrWjR6i3f+2lcUwyRVhWO1NvJpFpaDuXarNhA8QWObKKu7YBrBqoifCJ1EuA6wWpaPhPgTyB8Eqz1iavRB765ICXKtLhrXaJDp76Hx1oCIco74iU87P0hZexLGXb6BMGgZu8HDyFHnp6E9NQncy4Dr4gP/BMi22KO3mQAfZ5w7/LYmD5aXzaZSqKiAwP9sBp3AOwDmXc3WfURnC5PgA5RZIbT5383kDaLVNitVLa6V4YvUxZyOtY9bUvXdMteGzkTyvR5pBAuD4uo5UV3/7h8FK5i8YbP93qVvA7hfzJ7Ee6M5v3h2pzhE/F8R/ar9DulzOpeBTXJpIvp4/Q6CQy9W/YHOY6seZfR6U/a9306EH5CXO6QUpHcsS3WxkZN0q1MHryCbFS9ejF51QjyfzslT5/DFg4ikh01jiNtzbPI8kWMdiCXcmqcY8MKBkRFVZhQmAjU7TwmxHlklkf2KPD/5njqk6+HV///ZB8OYp97l/N/uU7K/81hJvBhx/xxk8f/NpWHcXpJQw15tNgHBclpY/+w2B4W+LRVCdwfWxxwRO/L2GmRdpDqBlzZmva1jebm5A1benpsanYEwxA+l5rulKY5qKfmXK+jEPj81KopCu5hPN1cFvDgYM4oE0D8nQNDraxgArh6wewrQxgJzZR08O0BadhPA8LCxc+PnlydewJqfU/UjV+bU1SNdNyucM2G4NwXAODvEIYgXgvrSIQnA7rfc0hGIzCBgLyI4WodH8z28AMKU/x7PfNwaVG9eog/kRG3Q9An1ZEtsnZ8ls3z9d34RK7lHPix/PbqXiQmcJd7ojRkLdQ44/X2PSs5Lc7W44m16dp7YRyOgRNONnd5gCp80BqpWAWaCHu0nJ1XZ1Prv+0dYmJJckitsW19wry9KCnbCd+k6fjAEWP1o7Tf28HtfoBLp12HS1ZtXGmaMjWP6bGRXgDZmg7WCteyAqtF6h50XLangpGEOG/LzZ9d+PDuM/vHhSqun80WwG5wu+60Yc5agS9jNyPwBqT6EQG0Em6GIk2oPZ+E1gGgb2ue47ZkLsoFIXLpSBltVqgVYLLGmBdUbTJbStQKsFzqsFqvYmCSQYBFowU3FemS8DcUj0ISHUa3az7nNg4Btr/PYH+mTqY0U1aTJTzNLtfUYOXUYIMdFHQEUQJysRVDwXWe+0pG+07rA1JIlXqvW58PUjpwlcZ5qY2CEl73vEWxaBdwd56AjLeA0Wk12VxtdHyJV/rKT0ALO/ZVotsFoLBGiB9ovb+/Cu3rZFkuuSkUV/oyeZ8hDQdJgLQTRK/P7V2SFYc1H0BYPYuxur/naETJmWjZcJttcQFYTIeh6yk1UZfyFWW30B578O3dXpLUou+WDC8nJ9vZwMADGAtDzdD6d0Ib0nlgHuabW+wGpAeRst1C1HoFoVYGBdFrLMKngq4gKFmVTmV8Eu0rWm8vPIV0OgNTzCZmDdV8OL145iIjwHUTLRqBaF56Ng/glZ62L4TfCEAntkBFlVcxPZgFmdQjJl0TxmwiNUJRQ2ZPz5WMIrYfiwBjcfQdB2EduiYaK+6L+mXy0cK/a5BduBujqZW+yloOvN9XDj2OrXI9ijfLnxkvJs0C5MOqiWbYgQEEioTDzPfTqr6vVAZBs69KBKaNnrtoBLC1UmEu4qSBYnrmG0msrnavE1qF7/STfbHfIi11K3dbBhY4rf0MQRXQAAEABJREFUFPpYXPF2a4HuDPzxm3dc+K/G9iIkTPjfSbgUfMqXcqfwmdwx/Of0s3yKCzY+z+mrlLrggq6ijGFNzcmsRsimeYurzupasmcFGKyWZgKgYRiB9vqkxUTLDIPuHMUfbmS3/UYPLHHL/gs15S4HLrHjuV01WQSD49JTtxi45DcmONihB9gB14PryuA/151BcA5zXu6r3Gc5D/fXfzH9BHij6HhsBsODM9h8jSXrzPVms/V9Lvg6OH92iIDHL2kY/o6QQPv8cSHPl9jhwSB2iYH5mec0Gedbnq58UWFIT9arwqLrYV6l0sDyVGlznglsi8tk3/mZH81kwCAcg+23tKkxTHNVXZ5zCIik4kyzjHhyFg7xXHkziJy9HZrdTWEdicgMNNdDJkOEl+mYmFTXdrH627l6mekqAmYWwqyiphmImjGOhlbX4e4EPBn2rZjViYpuQYuUwOrqypkU5mcWkHfVTUgcS2D2Rc0nv2jX698qy3B7ybXVPJ4fo+ep/hw1+55BSU1BCCRVO8kCXgXLqM3IDjJu9CDY5NSsx/0l61o4HogvG2pao2IvdTJKsSe1xXtAwctyaOFBeLEU3LZuBMf0Jedz6+pltJnmgjQGbWT0bKYLcQWGjvTCydMNaahlYVQ9iMktekPsSq9WHCUMAnBKBmatsCRgISV+a5gFl/hZ/OzpCXxpeFKmnY/lxG9DmTZ6ylYBE5EQRmK7kUntR7zn15Ds/BCK+TzmaDzhZ33AsWTR/JaB9LSsVgu0WmBFC2grYloRrRa4hC1QqwMXRrn5BHkJT7WholLaHiSEWphNej9AlQBurPLbbSXRrgXBkigs8fdYcRzMIO+0KwgLg0DyDgwYUZypRJF2NALcz6BZeT8b0XCjJaRhafYSlIRiQtsB/gW1DrDKGwbe4+IadOt3w4SaPHEV/grEzDOAGKbFLFd/rUUzp7dMqwUaW+C+3nb8zOZuvDUZxbaIWiQ0prOfJZrb6wuC0bkaR4Gf0dKRJCyh455rbTCNTGhi9QVtGVsMKsbWrRDiSDHOQoHsCzvCUW9JxoEBwAdHeZxYklgPhOgZ8aUYeeFdj17hsA5LlkAv0KbArKuS2eVwShNNFyhMFQ57CFaBMl1mup6P4xuNrxudz9EYf6X5Z6n+elbVqj1u0cJcQ9Saw9u3/jV8VRwqVdk8Dj0VOwFNCOw+dg3cgikTGACPpL8E4ZZQDt+KUvhmGd9o+QC8cBbQ2U35aLyH0BCOGo1kG/LbxUOYPL6LFkYCm+7QMTIt5EYBv32QMNS8WLXVXMB19sdOnn8aTzBoEppCEZxOzpLDblPB/OTSPqhiV7fTZ6hRKblRf/unMi/LeY6lMP03MIikdWygBRxdAS5mZeUr7xvIDq2meIOauXSzZSN5X080HbTJw4Ak816rSZ77G1O7TbXTyRtSH4sp3o7H0j+Yf17OCfxMcduw+/tp9Q2f+0OD8NU18ZsvnH6wpN4uYP+FGC6fBTI4Lz+jDKCy/3zNdK0oeU7mn/w6nm8ZVyM9z4Vc7zxLDLezD1IdDAPLZx4SYMOxdgogzJK9TU104NwY2LYX6LzpXLhphg1EMpCUvr0CX1KcswSoHuyyCXeDNv7V5DRYB105Pjqozu1L2vth7t//se1OfDxxK3ic5XUF91nu75wvTOAtu42Gr2MLAe8hOheD91naiOB0Btq3f9BF734Pvo762UMA633ndDY+8NvOuwYUMV2sIFnfYE3PCYpRR7muYsZS+JmK3KDNUrTfHJ2V1D+xqRN9YVv6dUfNmTnidWqmhlD7PKLJIfCpjhnbsMsKIGImUNMNBOwSDK2CUgmX5ZfLA4QTgq+P3wBc6yTMJ/D3xwKFAwhnv4to+ovQnKU7AdW5ChKRcbiEpEwZbQjparNF1FSb+hsd/nnajQDOGJvgCg+dbSdgVEzMjExiiHZJjIqBbc/3YvIZgD/y6+e5GNfZcyvcjl7U3vKTi8XkhlXdeCNHtxajFz35nCn9ZkDRycCrYGmVNLULkBVhtGkrT8j86YzZhxo04vdmoJUXVhDx88nPKieET+lg4N2a1WDOU568gFBLBVyKn17R4CXaUU3pstzQkH6uWAbceYOjXATYnEtZ9CVvMKSUeygbxcTJc8J63MdmxiLgkaORL1vM2ODRnWnQkgDFgo05OypT3kfP3q/t2oT/dOMO7O9MyrjjGaqH9G3cCgR3YDx+I5l9EJ0fQEf3zyOeeg/0ulDByVxBFrZJD8vr57eAuP1lZMtqtUCrBVa0QJNhbQVNK2KVFmhFr98C5TqQYJePr0/8KlGkCHSPazvB4DfrS68iv+qZH4xslWlfyJ3CN/JnYdI0uNmQUQhrfeBXAAs004zXFPc630Q//C6i/4WIRkCgwLyr2iGATmIblnI7DLy3adfTJKzKUme5+mx/gcwgo79oZjD06ruSVo1fqxa4tT2O927rhRBi1Sp0R9XCIJ1zwWDH54/MSen2rdEArt3N7OqqWbEpHACXnIlWJFGovkCa8BWFy9jzs1INj22S+NyaUV0ETniBvVpp/ps0621M9eqqBB8gn2NRH4oK8oWQ2+zg16ZNh1KoORicbybl7l9ym75GQVTEa31w3QMLNVmNtnZaYMwC21PPoSM8hlj676DXwUpJQNZDuSGkRRGbnQS2Z/rwwovq+kK5H4LfunK0OAqRu4hy5VGzOmQk07Fn554ogpEAEknV53Aev6lxgemxfui0gO2/XcfJU5rMPdBXXJTU4rfBONIHEXnsDBFAwXG+4TCDMxz2x1j2s2mvd47chMPBDRkGFDITAtQ10DZAkxTlOliewgEyYTr3x+oSwxTdOjbYApXgdZLyQgQM+H7oBOiweiGXPzAoS3rjWvuDffLim0me83jvq2Hw3xJiYs7zsTrozv34Uwsv45envoffmH4cv59+QY7HLETxQETxdZyHx2Z+rhj0vBg+hdUNchnM83C5DKCy+hr2n4/5XmFUku8P9kr3jWgldrloo70TBpOjBFozyMwm3AOs9xHGEDWbbglwvq7b1Ybi5WhDs77BLuvV62HGUShxhx5YPF10UHlZyp19/sYo+9nwhsrHU7csAu8cN2jEwGM9+5cblo5nUH3wfg/dd3jwgXaOZ1p2/Wtmve8+KO8DYSEoJmKmVIVt8cgPufnLednk8mwD4YhKU6GN2Y9OziFdrYKla/lj+CnLlBm1qprvTtMGN+s5F1YZwsyhpFk4bQzidlvANDpQEwY6YpMQwsU0zUsy8yW2JuqCxKzub7WiA7knkJz6JJKTnySQ/TMILTyCyvRhlNJjiM5+dpHP4PzFBZvaagYg1sLTQouCD3oZ8teow50jdlCTsFoUVxPoTJ2BUbUwdsbDbGUC8QW+O1QQEWaOC5z6kgbeWKHgBR9ez2ZUf/rX4aU6F8uoZNW9DTX5vhETeVm1qWAnVF047tUwwsvJ03hmXXpAhpZabbRhMWT0whEOjPLw0sR6qDCgeCCLgPbIMQPRwwZiLxlIPGsi+YyFwKhep7xwh4F7Np4B8FsvrDventQkwO+X6rb3SK82PS7d5VbsBhuphEs8oIVjL0Wg0dzPNCztXkwn5JMa7tY4qqnRaMPBpUrUhIaOXA4FXeEJIUNdH78x/L6BTiRNUz6X/PZJ04LWiGzv+iiS3f8EwfB18IVQfPK5haz0DlTUeavxyzfWyhO1rFYLXOUtsPrTfJVfWKv6V0YL+HppjWrzyfG1qmWb2AcLCTjIYy3QfT8t+niBNuMW5WKtw6ih2zARgALMfSnEE9UwTZDhVaXcUf8teApwTwpaTdTjXm+ODwZx2/gSkvx2wOvtOlvX89q2QE9KTV/8ivDD86MwX+5BhIDC+26zUV/rrVpBZkZDhoaq6SIdJQa9EgU8ILpg4mxNMZKrZl4jgYF2Tu7pAqbrC/AgLSQ5bjXDz4k/xjDguRodL9Y4zVcrw3rXOdxvsN3csOodTjHygh2wVLz0NFg+4F5vzoaUK8vL1xucVyvZtjYL8/MaEvYkdOoGLK0em/vs4qIl71bxzfxZeQG/ulmBaydPCVo4vwQ7/ww8LYBs24ewfBEhM5DF8TWDbiL5Gci/6bYYfuL9nVhj/4comx+TxztlQv8+gRptaqTnZRDX9qu5oGoOLNbjYFlJ2TaCiIpa2bzBy77l3xqI9mig7ov8QmCxDZhuLcPSezO0ESAgkNws5KbVpzIvyywPRLahQw9Kf8vaeAu4BJRzv9HdDKzCSxvPSJR6pS7drqv+QlFv6GMttTLMYzC4zUD5cnCSebY/bL8HH4leA1bLxJtHzL+x1Dk36G8l960ANPfXdTKtxqc8RGPJv5r9AY3pRS5ihSl4VfjS7R+JXCPPzUSsvmbaaZ6H05uZl8tzMvqNpE6GL7i9DlRze9m0ed11hyultje93ZOS2xJofreLMIHbTL+aYdB554cdcL7VaC5FvBUTshjeFOA6c3/kebyxPzLor1uSTFrhHh6lpXeJ5QPv/6XtLvzviRux3o/bILXHA1/rctrEToDVz3D8+FM05ykcE44NWDSBddVsTBUqSCSZAphNK/di7LlyFY9NqoLu621bUpSg+YUjZj0l3OARoO7pOeSNECx7QILUQarXkNEHT3hIhmkO9DzM1edJznupzHr621mS/dBzafz5N9+JP3rop/DJb34Qv//ND+HPnngf/vKxH8PBo31gPoPHduGVkJk0EbIzANU/Z6kNQlHD4o8B2cVA3eOFtklfom0Ipl7F1Hgf9MwUYukgtYWBUDdgRADepOEP5Vbq909mugRWYVzIUuy25n0xn6VdAaKw7ebplHRZDlEcl+W6awDuzAOfIX7JparZBcU/yUwNFm8uZffUUOpzwdLulTYX1bgn+z/fG5Z8j71gQqur/WnIumGvVlZtyB8j5vMVB9VND541Fsv1OnpleWIVtTKc2E6biQZ58hN9yI8dIh8wPe5JEJ7b3+7SZVwzyyiNSen2SS8OjU5fMC2EiBkOkGmkf1efeh5/NLPQGH3R/pNVBbAPemFZlhuQTstqtUCrBVZpAW2V+FZ0qwUusgVUdn8ByoCIWb6yQHdW46IjLEH3SecHUuJd1Xqp7Uu5c+xdQTXRBoSSgPSZ63lHo0Wcimsm5c55WWe8iwosJBDUFC1eh79n6jqIrzVT2G2l5BXyYpcXJTLQslotcAlaoC/FrCowOkuLvcNliJqO63uD2Khuzt6g4hCLwQoCxMELIdBFIO6MU7zg2rWr7o4tm12crSoGdxMtIL5VJIZ/jVL9Meax+vcimpH2E1jL8cM1Wm2QZ9RRY5EfT1ErDt54sCwgSAuEalWA9aAvJ5qtS8pfyYA7NZ+sdjlHF0O+tjYb5YqHRGAKhgGUg3ulihiWQGNJob+dO4a8VwMDcremUti21UPIXIA+/V3KDRTDb4JL4KgMrGJ5wpYpeo0W1NJ3YZa3UJEZQ50ahoaURCGrkwl5FKCUanAH2ZCANwOJHGAEl28AABAASURBVPABQPY3Gt6c4bBPx3428S4Ngv6ztHgP5n7AUeua6twc8rkY9IAAf3iVwXYGjbjN/I3SdQtpEaxogVLoZhnHqoSkZ4OWXVILbv9thw1me92SdehBsLS4BMsrCszzL9bv//7z4Mf7LuflPvybiX34s863SAniD0d24beTN8syfTrfXYtPYSn1v80dxVgtj0/MHfCzLHG/kR+i8aYqxxsGT/ncD4QVsMZ5Nsr78EYhA+5hYWKwGZq65Kyvr4CvRqVI4/bFXhlN5RdbxLr5O291wZLmiZ0e/Lct/GtozByqg+y6BQTq/EFjeqO/j5DWlG43Rl2Qn9XPRAc81AisPVP/iCoDg0II2K6GQs2B/82Z+fS5U+TrEu7rqVs5l0P5PntmAqwz+rb2GFjCnWNTzHyQx6irlJkVQQrRoVfgaFWkjThMexNFACw0MGm2E+AukApNo1r2yAiZ5lvEouG55wVm5/yY83dZOINzLecRGTwPZ76OF57P4+Dh64H5XoQyPYhPdSM11Ym+kTb0DPXj+RdvwzNHtyKy8BAi8w8hl48iER8FNSkCdjsXTXyoqrdjy+AKSzO7UdGoMwTLiNvTCBRDGJh2EM+EYQod0c0eeHOJusLi/avkVhRzQRFcDkvNc19cbXjx8lVZtpVQ1yED522dfwbhqIt0zeSqmXcYGl6xdtBaXcCoKP6pGXEl5SK/tYbczhqy19awcH0V87dVpJ83QcwFgcRz5gVLuxs5IU/r1N8EYWC/GvOglwFftYzbpwQ9tNGTkraZ1XZvCDZdTTAfxrFDNTDvmh4qStJ4jwaNeDMZaGLptWl6XoB0NY6iYUmKOM0b0tNg+c8jq4DhjbGGpIvynqBnlAvYpSnAvdqScOfmaJlWC6zaAtqqKa2EVgtcohZw7AFZklVpviMtE18DSyPo2wfdK5gHS7q7BIhj2Y8XYwkCX7r1MG6q7/oH0Smp/AUfS8UmNCW1nvXOIOOtvFb/Y6kh0Sfzvh6tgndOjQYvPDv0IPYH1U7/wfL06/GSW9f0GrUAg9sGNFQzNrRTbYgQs3nX9caGa9MfsgmiBDKxCoG3CYRQgFM1MTdb2VAZz1F//suFI0to77zDxQce9NDWBkzXJdxfqgbwNUK6v+J/nXRJDhXgMYZ9rAZhNXCmzxBMQuOUdLBRoDyZAIwa4NKKdc51VeYGe8RRAb98FbqybG66QK0Et6hBCEHta6GcW4Cpl6AF48jH34NiYAdytAiZnPxTPJpW9+Vj8T0QXgk37ziON236AuCUJTjfTG/78it2LSXhrtUmlyfJsObmYZXUeWTEKlZ22pYpoSTOqZPZ5MEqqzmiYu+Q6WdpNcyAN4OMIWHKuOWWP9/wBmZjmh7wYCQFXE9g+qWKXLg1pjfzp4csGR3qAQ6Wp17fqmTklb46lv9Wn1kd2tB94FpxH/X7Qzl8C0e1DLUA62UnB8vVyvgbk7ypz+nrGeZF7g8PYq9FA3MTYuZTWBqek45UziF6R8ppsJQ6xzMIzuD/p7NHObhomOfxpdsfrIPsnPhgZBv4WeY8fzD/PEeta76bU+pkbg50YLUxYN1CrlIC/3p5DLwaLoGmoUVpe94o4ToPmlF2lhgGvjkiqKYT9r4qpvdemhMikKDt/HEBz/BgaxoSroGZUgW8Ec8VyeYVX1GpcujCDH+ckXO+b9O5i0zZag7THMWTzSKEKnR4RMjui+a12GGocwfJmde7QZM7kqFZwBEYp6nVdbD4e/ZZDS+9LHDgoLYYdz6eHG0m8IYCX3fjhgKPvdHZv8MLL7p49sgNBLB3YXfGw/W5Eq4tF6TZ6hTQjiLis2147oXb8fjhG+DmzhI/EoZpFEDTLgp6SlZH1OvM7S0jllkxuxNpIwYEHHTFTsMs2TCm2jBIeDPLVIRpg4bB8G3vc+UGTeOmybKizjtYnqWGplz+JhB5lxwM+OZzUfA9Cr7KgLvuqHHXNqjTLqnVuQBvzAwZ/eAmNvPn9J6fo1jbx9Lu6VsrUvq9Udqd/WvnXJpq5FUfrIW5pVQaq5ZhH6uWCZ7VYVV7YFq7YCwYUoc8mvyMhIaezcyTC0yN9kn1RdkJS7Z/rPNc2U2y0sZOvb1KVdT0OH52rhe/PjkIa1bVzc/DzyFvhHH44fEZdpqaH2WA4ZLqH00JGiIZuOcNtpBhorNiyJTGtpARLavVAq0WWNICS5/MJUmtQKsFLk0LVGhHmkvSy6vvSHP6a2FMhNEIus+4KxdGvBj73fY78X+n9tJEnyeIz0JQ64D/40UV+8dqLhJiD/g36z6HOfdl9krDQH4JUzJvQtsBGbkB62xtAT8/+R18PX9mA9SvPUmjDmK/Nr6O6m/kz/pRLbfVAhfdArxoitoaMZ66NDcPBtG9il7KZidjyQ9eNGdjZZksWK0M+SYzebLXP/4kcwjfLQ7jyDLpywCBn5ybgRZ2e0cruPGrZ1F+ZAxHX86iUnE5eonhMcYHfA6Wp5ek+YE2DUhqAgXPA4PkbDhtPaC8jdaBYVpMs4T77MpT0zilGPs2Kp/LuxLNHK2wovMZ6I5ANGIQWKAh5A3Lqh4RUSl5+jOlAJ4kunJtFr9UPoB/KSaxLf33YF2svbUvIBWcwnwxgfnA22W+9ayqqaTvzKpS9bGcPjbzv5Cc+iMY1fHlSYthXsBm8xG5gKK9R0zWi7qmfwj81pdDCyVf0v5wVS2grrXohi2WsNQTIiDen2+W97sd9+hELHD44B1YT8qdQYbMBJHTkdqsgTd6yAv+gCT3Rfa3zIW1AN/P8nnqcmdpeO4PVXMAnghc2Ilfh7l81UqN37dgEJxB2TA9CwykX6rL9gUD+Hs9XCZvfP5BRvGDLK3+O213cDS+UTgrP8YqA2Qtl26nqMXjNxP70K4FcbaWxUY+ovpUQW3u+R+CXSzoDeLhe8qXypsY7F4tZohRUarsIAOp5DYeiZ1A520eum5rMvk2El5iv24BbXvV3F6gKYpVPhg0x8drBvJVB766uXxenbhSUW44rNyN2gy+MW3KMhHQ6QQcqJtQPdxJ6ywhHNQ0DdwKWZoMh80d2GGKOiXg2H1SUjwZnoFD/MrYIQ1TB1T6XBo4/Ioi5Tk0V6+zitmY3Ux/u+ZkEJv+//Dos5tw4Oh1EmzvRQmpXQY6fzyM7vdH0feRKDb/8wQG32xI0D01l8TRl27DNw7cDdutIRqdhSM0eFR/0E+vg5YsSU3BFUeKUPXT/OFUSulqOwXN01Gc2II9lnr2699Glx8GHnyPC4Pw51oO8MFyynbBR2FCtacVVe7ygnJ5HZqrwYQHjXhrvEo/nXhoFw5yIgy9yTPkVyNI1dasbixoUbh6GWZuyE/asMv3haXfF66rUZ8DzAWxAqRerzCtpCgaN1X4DZJCXX88S7mHp7oQjLwFEfcuqUM+8oqhMgFo9LTdZsGip8Kb6sHJkxUsTHVD0D/aIxrJVvhFhfhFWgt05ndjIPg+DFaD0IRA6KSxgvbWtriMO54pSne59dhcGX934iT+1ykaKJYnNgmPzc/L2B1GAKIGcJvy9cvIltVqgVYLNG0BrWlsK7LVApewBfgVaU8LgD9AxwzOJSz6khRlEjPog+457wym3B9h+S+iWfCEQkvCQkls+zQ+QDHjFJHS9iAhFOg+771MYJYC3f2PpUa1zdBoesUGfwdK06jSZPyZ3DHwQnOD2V4zsiNV4ozp7P5CmbxgqUxedDIAuRwk4vSWabXAhbZAX8qUWZMBE2+5jQFHGdyQFeTVJ1HOx4hjJJfVypADb5rttQ0/iwz6MNXBshoX2N9ozlazMpicMBGoVOGN5/DcDyfwpb8+je9+fRyHnptHPqfOzYQ+4MMSlat9vG9T/RLnHI/GFo+zISSks6oVDnsI0p5CuQKUWBSrgdIH4FPaOoU05HktvCyZr+U0eer2dgvUnAjrk8iZRTzkFHCEwOqSMPBY5O3otnpxpxXA290xOefw3FMlIPNE/q343pmfwdx8QJaznuUYapEiHKUaqJFeeCW486cxN9eGYPaJxqQlfqeYhlMKgm/byBzbAKuTiZVVnnJw7yK9PzYO8Ap7MXalxwfkzxKI15jau0+DHdeQySTXlXLXK1OYG2uTOkBTAxoO0jzDZfl9kP0tc+EtULV3yMzrbXxIIrLMonrbwVcvRFGv5nHFnos3l5bzDv7G1KXuqyxN33guVgXDYzxvhLK0OvN5rBeeG+vT2WNgQJ6B4WbS7UzDhvN8PHULe/HF/EmZRwaaWFzeodIcwpqJRv6pCenrNipIYzhfXJ6ATHavFsP3jusaEmqMZ3+jab/Og51ojHl1/MH63q1TFgQuKn4hShtVfPaZahks7V2pQM6nHHchpuS4MpsPrstA3Qroqj10x4CBMkah5tSiYaM7OFCnUk7KChPkKtARmYQhHGSrxK/MCJn4zAE193N9OeKFF1U8+zdqJqdUnlTyXI7w/EP4/vM7cHRoG9oIIO3xiui4wUTPByLgj1pGrjER3GzCSGhI7Q9K0L1b5BHPRDF76loETOLxrCpcoaGixWTBDECyZzUAsp+a5GRgDzwBJDpOIGQswFiIIxImfoXAdd3i3MqwP75Z+bNDlEF5L9iurPPB1Gq5AK2mE9zrwaRrvuATnW9G4uFcOmtBCyBIoPFa2ZWUex88V8AsX7gQVzXholjXvR44zw+p6nVetBpXz5Rf3+KgAwbdF/XHB2fh1AjELhVhpVUf9ml9l/tYKuFQuxt4+rnb4BbDxC96iO0yfZKmrlmcRLDWiUh5ACXdxEvBLPKGA514fXty6blYuGjx46lzuSXljZYcPDw0Cs+rYbaQwY/maUBYQrEycLysrrvDCcnEWkiFZaBltVqg1QJNW2DpU9mUpBXZaoGLb4FaXVrQuAKl3PnqTITRrd8twfCcdwaznpJsQsMv76rXfQM4J93OyQOGeo30TB1gY9C9Q9zKSfBBd/9jqSGvT8Zv1PJBGKb/04VD4AUe+69U4wM3DLI31vHWQKcMLn81XEausDYe8UhhBP9m5odgPasbz9WifL20wFYCX9v0IO7fE6EFy/ldFTOhYV1DKVhBNuDCqNqygPRsad3n7GBlStKy5T/37G80M3WVMm0zjoy2+nKIB2dgixKmx7J4+ZkpHDo4J9PYYsCHJSnZ/6mFl5dIUXIcG18i7Ok6w8tAeXCddRgvMIMVIvIAXw0Nl8VmtK4PnheBHL5STZFWpy6vwKmCkYiJXB7oCA2hprsY02O4PzSIP2y/B/978k5YHf8EwbZ7UIy/DdnkzyDd+RvItn0IhcCtKFRjGFeCZFTS2odjdEoC3iiWngaLJZJzmRgqLL2+oOaFhuRFbz6jVs8WLV6HhukeUMrWrrMwq0PwaHHZqD7E1wO8Htjmj60HSuf6IBUrj633auSuL+Xu5jOYm+mCqwtUOkpS/3RYmGCAkApoHRfZApXADjhaHLqbgV5beZ8ai+fNm8X+EDy3AdNI80b2L+dQGNG1AAAQAElEQVQdfJ7ocnxU9FpboXGfSD8DFhBo14JgtVR++7Nudgb6GYhnQH4t6XY/Dz9TPD5xeLk6Go7zzacySjjjLaFe2kRdG2zx87ze3LBmyEsqEPgjPa+B9VJlFn+bO3ZeZ/Z5AF813HllvozEdhtN+lR+mdgMHwDuc9ScVHAcJBOUSEd6TiCfU/MTvzlIURs+ZstV/MJsP36ezPJMSUv14811MHrEakOG1ksv27uxybSXkJdpXVUSFgJmERrd/6rnojABHHtFYJKGUAbb775TXY+vi31JAesE/Dy+/nYedx872AkfbO91qAYEtnf+eHjVkhh077nXRp/II1GwEQ3NAIaLBT2KNjMg84makC5L/UpPEytg96GkB6CFqmgLjcCuBDBbjKJj60rmxFdJlB9rUtB5RhXGVd38frE8u5Rw93QYngc9IJYnX7awWSYeim7tkLkJfXU1Q6ud7HpT4Ki9kzZnALN4fs/p8jJZ97pjA0ZeQCeDDfxEDRLUZlL/mWK/bxh0Zwl61h9fsF9GfuErcEvTUhJ8tXP03WsS9iAIlG+HcAUicUBbo/15g8DKB2iLwoCXN/BQ+Ci+FpvCcHdRVoPTpafB8j+e+sx0ZjG26AJ/dWoahVoV/flZGf+tMRospG91a6xIqD4lX1OzyQacKN086bsUVquMVgu8PltAe31eVuuqrrQWKNtK4ssuK0muK61+XB8bCfTob6aJz0LGPQbW6V5FHvxzUaH/PHsR1paC5ptNBbj7gAkTRbUtYNBdgwUG3Tl/AJ0IakvBeqZdzTC4fqQ6BwZCeOHHC8Av5k6tRv6ax087xUXghiXTGivEqgo4zIA8Xxf7L8bwuXjB+z+zhzHi5KSeVQ6z5PHFlNvKe3W1wN37NDx4Zwg3XX9h9d4aDYEFamZSVZg1C4L+kXkLZ6tLpUCWl+7rEOZ4fkaX92nun3mvKkH8IPHAggiP33EtHrlvH7a9uYj37BsBnQqjZ3NoVDHDkpRrge59BJCCfi9WFYPbr1NgnYNfHbccgFXKsC70RvIiLaw4HLzCOYFCoYjQXJmbDO0pA3O0NgibGThGDWOI4J5gLxjY4mthlR5e29vAYDa/XcVxbLo6VZvNpzm0MVMzuiThctDULB2FcDVqUxtucX5VULVW/x6AlTwHGuztVNLtxdDN8ERAls/S6nnqLzzOh4QCKWRCE8vf4OV+t/ztil56HjYi5V4cV3NZhC7veUzLs7DeaOlpWZekBXxd7oH8gTXLs+vprMvf7w9rZniDJfKzzZfMamV4nOV+zzzR5fio6Lto447PxYafRZZODy17Hj8S3QVOk/xY/iSTolF3u4xYZjH/w3lYdVOzt5dYYICvq1MP4gPx7ctyv3GC/thXeA0l3P94/kU8lD+D5WPrWneB+wKnh+sbBuy/EgxLSLNxKkBxQdUoDEN65ipV2JaHglXCwakcvj03hQrNpxwnCTZoFV0H3QS8RUsGlkvWBg3FWHQKBWLPmzZmAkkMGUvVyVSI3So/FkIOQbSHp6FrFeSIZ6kR+PjcQeaegBuu8zDQV0WYisrngeH6BvZGqjk3D2SmQKCnWBTM4Le8zowOIDnZiY2A7aj/GHTv/fEgepBHws6AmZIZLYU2dakExqr6urriN9Dk51j9GDJ7ICJF7Nz0feITLYymN6Gr76UV1KEeVU5pDuD7uIJggxHcxpxftwAr0jxTrVwkXkanNbAHI6E1J7oMsZpbBN1qFEVQtqNTc/DIyBRy+RKW/1LEAx81tsKhZjHKI8uTzztcS7gyT3CDUu5aWd1fxwaMLG0UyNzNLbdvm0xwy7RzRD69rm6IvEuOyKCBIG0hGCUbdFlIDmLNX3DYgzByKGp5DC98ByNmUdKHNmmQ9aLNA3Nek3G+xQJG7D+RzcFXA/XwWBos1Z6iDa5f2zWAtlJOhteTch8rqPuy06KHkQqthVUbkrd1tFqg1QKrtMDSJ3IVolZ0qwUutgX8xadRHb7Yoi5rfhsKdNcRRglTEnQvYx5lNwMXFQTQScyIhcZfOy2SOMwgG7u+iWpb4AP4HLccqOe4tYwvwcgACy/8mHa5/lCOu1LMwfLqwA2DYbvNlATk/eu60HrzglWC67QZ0a4FwQAlu7xg/cT8M/iDeYKQHMWAXOg5ruR8rbqdawHdAHbucM9FnKfvuoRaeYx2VWkxE4QpqghUBWYJ3F2tKN7UYXCU+zMbplsO0Pubb20lqiCB2ok48JaIjTKtdj7XdhMit74VvbEcquUage60euRC6ubByDbZpzm4XNKdX6fleN8ENzCDs5AZnR4u1WOSFt5+XnZHHbV46KdFDIevVHNiahZWRcCiUTgStWC60zD1EqYNEyVhoENXwPVa9Q/XpXBm0+qa16L10zw9Jr16jRbW0gewWjSzfBbFYgiZ+U3wagKB4qF66lKnuECrMoqaqL8avzlxiGaWISn9zBsClCQPX2rXl7CVkatYHTTf8JjHyb9PYx2Ph+z3jS/l/sKP7kZ44RE/eok7fSIsw20DBs7WFBLzRtUbLRviMlil+sdPjXXe6rNKJ+TZy4G90m1ZS1uAN+95fmdQ82/qHyxlnigkzKWElyDE59pixMCA/m8l94GfteXF8nl9fozTeA5YT5c8l/NgZCuTw9cRLwNkMd/4xZwC7n+j/Xpw+RT9hjzCmiGvmzdWpOdVtvy5nU/LmyPsrmf4/jEN99Er8d7ZKa4dUKrP/e2eWr98c2QWXw6+giMDp/Gt4ggO5OZwtO8svHBVZdig7eY9SWlqGgHuuvT7VoqZDwpojkE2cACbCFQPYyKwD0Eho8BA8JmvawjOCpyldMssI2RnUXGAs8TGZzNCqmHbu20M2pk/wV2D35IZT25Q9ojLf/bLOsrzAgmaxjnMBSzMTCM40Q3b0dGxjmQ70zea2A02Nr0/jO7UGbh0yQWrZzGZJaA50Ez6mePZ7DA0HLJ3o6yZiHWNIRkcQzWbQrnQHMANdXMuoFCXUFeh87MLY4o+VAfwVWipXUyrexlIaksTLnNIVGflGTyzTbpPT8/jHyfS+Np0WoYbrX5q77zVD0doxItNQisr/qWR5nz8hbredf7YqH/v1spv1N8E0Z0TSJ78FCKnv7kqudeu+oVbVI1vZpq3q5HQ0H8DCGzXpYmvob9dI9Cedd57RDlCz1ywVsGcrYT++Hkrd9GDQzUKDulknztStgn/46nPpAs4kS/j0QnahSKSX6LzB7r78a6oyvOtiXmKbX7MZRfAH0zlc8Vz6rmuLlOt0zxnK/ZStECrjKu3BZo//Vfv9bRqfoW2AEsd1owu8IfBzPKVD7qzTncLCTjIY9z5Pma958C/gFgpoc6LNE47W8uuUEVhQwH4SW0vYjg/yaUh/lIOAFYxwAs2H2ThBZvP5FPyFXMc4Y+4UG0GacFKzopjf1AxH48Vx1ekbSSCF2H8SvanFl6Wr3vzq9288H2QAMr/1H6HBCnDwgQvlP7d7FNgqbGNlNuieeO2AEt98LpvNlVCzbVhVCzZGIVsfXUqQ0stX50Mq/Zgw6kHy4pxZT+b6bo6meCUYmATCRN32BqSmkDa9XCc1rRbtgWYFMcOrWRuuU/7zzv3d7/8IFW2rwEc72/wy8JWsfrDlJHSZuqS8eSVh69iJijUQktGXmEWS+OcyhVglQEDLsIRAyF3CDXh4JSWQDttum0E6EglAItuL0vHsUqajVxm1eyUZFptUrpsWcWX4NQ8TEzswfj4tbRp4kEvD3HSClOcI8SAYiu2DlMr47bBxykEFCN3w6tLt3PE2TrovdrYyTSNZnn/aPwgY29dyj2fi2HkJRPL51u9NoW56Tj4jicHBfitIy77SlOHwHW6mg2rJGKeR6fNeqvU/M0+g/oNqyzytAB8oYSr+ZovV90X1crUgQvmiS7XuZin+K/td8Pn65qdh/mxX4tfhxTdt4/EdjUjWRG3P9gnxyreOGh8Xj+VeRl5rwpWO7M3mFqR7wqPuKTVC9UB97xb3VC5zAf/6vT34evR31CmNYj87wMwiT8usn8t42+u+2+6rkX7WqQF29VZ83VgPAZdRqSr1MYCCJRttJej2BWKoGJW8JgxtCgBKwnXsQp19XaGBpgEjmsECPpZQhxJgShtlYeFie/qu/F7wf8NeyyDYtUx+ZQAL3X6uz3MRnsBDWgLT0O3ahgpAdwVbtxbRPr4k/jr79+PY8NRwHMwNCKw3jw+9azAib/XMF3HbdtswAeepwi8NqsWgfsu1lIjo2q50g5fYyJ2mweXeLqERXWqk/ig7VoqZVhw4hnrThQ04gGTC9iUegl2MYipeRM8P9eLWnRCdZC8MCEW487XU67rELeiq5eRqwOodoC5g/M9w4XTa3XAPacnZSGTVUe6q33ks92wMWT0gqXczcpZSXuhFm+MMGDM982a1dYtRqv3b107AS00g1DxO7CnlTqw5Zndjh4Z5RTVRopeB+tl5DKr/QYDIVRhUkWig/qy1HNBrqMwJuBoJaQrMbSVs5gJRCRByNBR7nKllPvyZ5EJ/I+nPj05i8+cUHV6X9xEz47dnIxbtgxCSrnnc3hmQd0DmdBgnaiovjGgh0BVBfdzbsMGkpa31QKtFmjSAuuPLk0ytaJaLXAhLeDYAzKbVWm++JSJV4hlIox+/Z2IazsJ4qmgAgWKBdGJZj+WcuL45ZKuHGcjgaS4FkIInM/vmdKUJPdBPQZZ+Dy8YOMPcMnEK8g6UlFc7c32yk0JriYvkhkcY0l0H0Dk+I2a30+/AJbwZ8b9I9Fr8LHYXvDCl/Mz4Mbt8zttd2B/sFcuYP8m+wpYEv5sLcskLfOGaIHzu0iW+uCPCbm00JxMeQgSGM4lzM01B9x50+exOujD/exaSwEkhytznG3RzNTfsIgtEMJL/Gn+CPDyV2p4Z53ioaKLLTtjiJlFzE+XkJ6t1lPOOdyffdD9rxeOLia0aYteAnzO+dfytVE1LUegWhWYdc9R+v6++sL4XMqV43t0Mi3B4UDJA4+g4agBtziJqu5gXI8sjgEbqXGSQHemY5217K5nXKNLkphVNRZzgPW3C8fF9PQ2aUqlKMzKCDQnw8lLTCGrGtsTLna1P4NUJAMGYSuh65bQsboMjvDHevavZxr7B88HjSCeknLXcPjAHQhmHwFvEvjGoHF0fraD2lJDtj8nx0oel/2xdL3zttI33gKl0M2S2KZNGulZZtkVJd1eCS7tD8vI3vBBX62M3xCr8Rh++sW4AWEQ32etW8RdgR78ccd+rAXMLy+EwXyO4+eVwWIWCmB+iJ+/B+oS8Jz+RjXM2/G1TzuEtLJnHcObFVm3gofyFwe6+afxeViuB2+CbIRP9evqbxb4ZV0prhHxZFVYj7tjA3HTwD/v68Ov7dqEf7VlB/YMb8UN2X7c6fQjtRAnEK+K//bK8IZBd6++iW/QjAL6hRoka5O2STEAq68ZMKIIYQ5RrYo32TyTKxUpvtR2770eQjbtDtA6ZQUGzAAAEABJREFUKR5Mw61vDLCwb6d4Gt86QKCgB4zMtqEzMiTLnZiQzgqrkgOOEdA+85wAq6XJ20Ao6SFCvNPcy2RRjuyEmpujfAIK+4dWXpAAanD0SbCJnHoY0WNflUYvTPtk0tXqQGre6pNhtrQ6IOvpHGpugnT5g4EEvhu6Cw5d79atP0CM+vGRkUE0U0EWUbgtLkaPe3FG1SVEGxvK18TOqrWSFVdt1ITiskRpdf7Z37gouQrs5U2hsUJ5xTn5W0ZnzAHiCwWsulqvFUTnEeFLhTfTfb68GL1MN48jLTXmCKOAyNxDzSXt7SDcaBKoZSAqFRj5el7Ov8wEN5sY7Ktia6IIu3v1zmPNaBBahvpNBYWavSjdzh8tDugaGPyu1dXkND6LfDoWMOL1Drcrm+2WwP6BeudiglgS78YCQBvAD0+ovsDRjWY0r+7HLhGU0a0PpspmaFlXRAtc2ZXQruzqtWr3emqBiqX0uBvFi/vQyavZJm1iH9q0G+UpDYQQ1Dqkf7kVrkvmXCpwlxdjDKyHBU3CxKj65+MPeHEcg37LVQn4NK+F67+KywvH1YAbBsXvDyvldI0A4kbqy5Lt/sKUQfV3hQaaZuNzMxD/8cSt4Lpwnn87+yQawaimGdeJnHKKmHQK61C1kq/GFtgRD0IXVUwmXYQcNSXmxivgZ3D59ZyllRwvxHebKSRdEz0ZxRjzc89gvE/v541mTLkMNWoWJl5wkP6rGmIzHk6whHSkH11tVUB4OHZIbVZh2Y9BVe7HPBb4zzsvNnyyxg9M/cH88/g/5572k5a44bCHYAUok5lTaxmZnlZrThrjZPCKs0oEbB+YzcAkHt+kJXgkYso6GrVpWnC4BLjHcD6ShV1dtGKnEmabNzelLD0cIy4jhEOLEPIZ5SHoTgblUhDz6X6KAdIzg3BdD1Z56Uay8EpYmI7SohAQ1Ph7uw9A0zwUom9F44/7Dd9fHtfPB7zjMrh/fCy2h71gEM8f53r3aQjEBVjKffhwGyKZhxZNcWQC1bINmzYfjmuqITaiykaepGWdVwv4Uusm9Q2N+s3yzLwJwnFlazs7LbNKC/BzweMgJ7PL8zz7rzbD9eaNWq438zS+Kplfje0F80cc/0Y2QWFs+PKZ52T+jjPw+MlzMPsv1PCczeXxOPxAROlePlCeWre4GeINmWjQiLGz1FwBoSBttnM1qlkBBuOEAO7qbgeDbx11YJXf+qrRZvyWqV4MugS6VzcOuudyiqHwCNDm8xgNuqODmuKPZks1OU+HxSzeYk/BoDowbWlGgPWKs8oU3QJmTAL/KC0ZnoZHoKtlA9d2nMWLLxTgFEPoGh1ELJ2gddgMZ8cLL2nSbbTyY0qqnaXmDRb8vZHm5riH7Xs9BGIeWBd6dWIKU+Ntcm6Od4nF7Ay2x458DpHT30Jo9Clp7JnDsOZPShM/8nkEJtTbzpxJqykA3jLDHJRG1FR5TkDxGjKyiXV/UMO3zXuQ022YkSLaoyOYnuiHmx8H8xmNWUI9Hrh9uO6VXGPKxv284cLUdtvq9crnTCaBtU7dJdEltERtVpY2a/ZK1wd1OXA8u3Ld1acLvGLtAEu4GxW1+cK0F2p8qXAGxPU1QHEu35dSF+YJEBsPxwhRfz6N6MkvcvJK09EDx5mBW81B1AB/Q2YlIdD/izEM/HMC6JslUhznNwoCgp6jmlZEMFtDXlf3LGkpl8hQqKvJsSe1Fee7vUup7WGA/kO7tgC0KcB5fHNLb5eScs/O4Znsyr5ysn4/BqtBmcWJrqSRCS2r1QKtFljSAitnqyXJrUCrBS5dC1TtTXC0OHQ3QwDK8KUr+DKXFBc7MKC/Gz3avaueyX8d32e+VyXcYMLBsmLkln/IjhdsH47ulKV8OnsMF7vIkAVdAuusk5WlrAfcMFDOC2ZeIPkAosy4hnWQFj0s2c4kq+lV5bRGwzpVWc0Mv6bN8QxGMfD+qYVDUsc7S75z+DemHwfHMejFdM0Mg1i/OfM4fmvmCbC/GU0r7uptgb3xKDQCvafbaigXCYWkS/FyHh6aVhIsFFw8HiuPSv92kcA3vziGh788hYFyTMb50nEcOFNVz0MozwCCIKQ7gkBCIEQM7Ju+6GDr8y6+UXSx92bF/E6PFzlbU/NgZKnu3z5abPiEbfUZnJ8lBgdOVTNorIdPlyIe3nQEeIVZ9BSDzNLtBfKHaAUepCr6tFeS++jkHFhfpOnpEFR509bgOSWE9UlUtRrGRQT+NzQ2Uu82agemm5zc2AU7hnqjidV+cD5fInlqUo3B3JIs6e7WHJjFpYB7Nb+AainA2bCt51m0JUqomgPwQViZQJb/TYuBho1Vit7wsT/YBwbdw8IEj3P+/Wcpdw8s5X4nXnn2Nhw+eAdefOpeHH72LmpJDbEtGvWVOXme3Wa9YWSoZV2qFnD1OKq2EjQI5n6wBEgxaPNGuM37xKU6/+upHF+tjO9erdfGby3xs8rjdd6rgnkU5leu1uu5lPUOa6YsjvlD6VnD+kJdspXbksn8cY/9F2IONvDc/hsULNiyFm/I52Ggnt0OXY317L+SjA+wMljrGZ6qWp3dYIzOsoBKBcgRz8OJ7+3olrqeWQL2v21A0t2tS7jrMQ2smkOnzXEG+risYMObc/48faQuzczpufqHT0MEKHM4ZYVR0nX0x4egOVXcsJXm+ran8fLwTiRmOtGBCuxSCPmFIOLWJHijoHEu52sceUTN7e0EtO/8oIvxNJcMdHV6iNTPkz40gfJ8EjpxFZFulc7S64lDfwu9sgCPGqba3gc2le5eVHp74SWI2i0gPPT9RWl3T7ioCQPVOp/AJWkO28BiW6vgCpt5t5AZwlPGDjpfDdf0P4pAMYTxaQux9GcRnf3skvnCrm+clGfFirLWi2CQnjc2GLS3Is2pWUDALWjEGwAW8arNqS59rHDKgJuDS7xKQFcgbtFxF090og7wLkaQZwcNE0NGP+UBzMJJirn4o5ZQ5wyu8/FUvSwg3DwccwGziODvg2+HpxmwtecQGvvBioq47WoTwa2/DWGsA+ivKKAhwshpEATau8YQxXrEX5qYq99Q/20SSpAba7yJwP5QwxsnHH5bWwR3BW38Yn8KKZsakiMbjLv1Wrx7gdY+NDc9PJ6RKXNV4CuTVXzi8ARGi3S/KLZfU+Nd64Op1Bito9UCG2gBbQM0l5OkVfYbrAVYdy1fciD3BDtXjTFoYjVFdNX6sgQWJ/pAG/svxvggTDMghAEWXrTxYu135g7gSgDd16rv8nZYDiAuT28M82LmU5mXZRSrkfHbWUasY7HE2Ieju/DxurQ7txMvoHihy5JMHOaFHcf9i+knwK93NxbJ52ZAnkEsP579DNavtwjz6Vvuld8CO2IhWcmZVA2a7iGqlRAuGkg/7oCBbJlIFt9zX6+r9oRGi74SxboYmAuTCwIv1cqO6bhfBQsm7JoGy63BcYK4/ZctbLpdh0WL2+uobHyxhmoohb7wLPLZMk4fz6LZj5/3xk0qXmykNIE9lpDkfD7+roMMkPVYaZTspUeS1eWUIVXKzKl1BYqeoklqyr3SbJZuf2xStWnUsGhpDISjJkRpWlZ1yAxu+IOpMgNZ3A7kID3P9sZMzeiShKxb1ZdIXigOyDi2JOBeFTCrDBJkOAonaA343e94YElywyrjzt3PwDQ9+POfJKpbQyyKR35WuUXOBR3cR+6rv/Xj3//efRqCcY2AlAReOHAPXjp4N468eAvGRwdpUS2Q3Owt9ll/w/iCTt7KtGYLlINKXQyrlWkEUoIEwHNGFkRgt2XWboGfjuzAB8k8EFYbkGtTX7mpHXoQ/rPKYPED9Q3VK7fGr17NQkLf0Ml4XmYejufFD9cFUHwedEMFNCHy8zPPzfeI32JjMj+e/c2Mz/Nf6IZpszIvZRyDrIGUKjGfUy4ahIaTCRU3MaX4CZv4ig9t7lkE3T9zekIRNLF5jiZcTqUQmO+r5rAn1X3kDytyYrpShc+754kf4jgAmK+/7ByjuYjjTKMDeT2CrW0ncWvkBO6+/dt4amoHwgtxpAiETZqzsGo6SvMJ4pmY/wJOnOKcAIPKQ9/WwMByfIeHzps80GkxOQXwpsIATdkJtfeJmbQHqxyAAQehQRNW+iTiRz5PQGoBIjULdOchgmfgkKmYZ1DQzmAuXITTWYQwKrDmTyLx8l/DI/SzolkIm/VGpKpQFNkA67aWnjWsrUYJ33ZvQ5E2GVI9p5HS5nFkdjcBuAHJT/B8Ec48BAbDo/U2yhIWurxI/k4L0yUn/wCaM788eVFvfainzvStoACEW0Y+p9a4wYTqC3gVfhqB7SDuriCCCOs2uE+xCiLUf6eaAO6cFLa7saBF4WpVmPnTHHVRZi2pcL9grSTA91cYo6h5DiaMDnzZfgeO2lshqB6R2a9DK6u3If08XocC3Deix93Ps5przWmA68CxRlGlDQqdTjUbUPcsZFBaQ8bVrscwdbx/z2Zs7VDCPg1ZFr23bBlYlHL/H6MePnEqj++PDGO2kEHKq+FDm7sRzxmSnjfZpKdltVqg1QJrtsDSJ3RN0lZiqwUuvgVYus/TFDOhNXnF+uLP8NqUMGhG5In9DyjJwAVaDKD55awGwjwY2YYHwtuk/t3XGnTfSH0bm4LBIV4oMSi5HORupONyWU0GbyzsD/SCpeMb0zfqZ+mx/9R+BxiwZ/NbiX34ePJWaf5j253ghRWfw9f5zq8qc73+xczj4DpyXf+w/R4wcB8WJnih99szT4HpNlqHFt2V2wKs93BbJARDlHE2GsEWax5xs4iOeQMv/iizqFrGVyez7VgK3nht8YKMukSMr8d92inJtOSsDV7eBF0PvIAxgsDO+wxc/0ETZlCg+5SLM4+GsHlnXNKfPpaTbjPrwchWGe0D6/+/hIZfjajp+xv5IdlPw9Q3mcjXB85+31gmkADx6p6HDIHD5MVoTSHv/Ypv5qglZi4NfPUfNRw/IZbEv1qBp2cyYOn2VJgaTqjx1bJ0sP52rsOoGWYH5wN0RChLmAxL9M2tWJfK4lZYnh6TcYHiIVqUKonkfK5DxhkBgVrNxuxkvwqXh/D8iwI/fEqjhVcZQghcf/23ELRUPp7/JGGD5febQT3aEHv+3v3BXpmJNxB5s5AD17wP6LsT6LgF2Havhi1vERh8G7DpnQ5yu7Jy/mjXgmCAielb5tK3QCWwA+mu30AhcvcSIIU3aPhs5TDdHPa0zJotYAgNPx7egpBGg9malFd+4oPEv/1UZDv+VfJGhMTVfz2XqsU79JAsarqm5lAZWGYxX8hvd3L0R2O74PPIzJf54x6nnY/hMjk/5/HL2x/s4SB8yXcZaGIxj8jRV/IYatbVPpRZBwZX9hz7gkhdxzvPiZxkWWwD79vUJT3jxTXuRc1BwiV+RtMWpWodGzAzAnpewJegZQB1+RqJVb8wOG7Q1B5IQf5SusCE3qb8oUk8+byNykIS0WwU2xLPYe/Nn0dyrXIAABAASURBVMae7kcQWUgQb1UhcDmH4RGBIrFOZ76uyY+vsnqavv3MeQFDLAhMpSWJ+WEeiAFnPl8ZWZrLBYIBIFw9gujxr0J4OYi2NCZDUbzoBPBtbML3yHzb24FviL14UXTilG4h10WNF6H8Wg0usUZzehwsrU6ngUaALLvcBuyuZzxvEkfy12JY74Ju13BN10GcnNiGHy38PPz5gjdqk5OfRH/0r9Df9wis0gmqawkarZ+twkuIT/0pounPQM8dxrHRDgQLz644bbnxg6m1PA4/cxzVPO1ENFDmczVorgYTHjRbw6v104sTIBYZU0YbWEVigfoUn5s3a/qCtuQBm0m5bzIEhow+uHQTzNIIZ7kow+qWfPCY+2+zwgzq0xwvzGG4nsBRU6me+r3gzyFjJSBsWjuc/EsIp8xk0rjtahxxC2dk2C9DBs7TMmc0aN40HCOLBS8Eg04zZxNDS+Vwe5GzePD1+FLu4VP6Ynwzj6AuHTptwGRAnwjc3bfAl3I/MTMOLzuCO6eO4DcmX8D/uasXd0ToWimPR2sHPg9laR2tFmi1wDot8OqNqutUpJXcpAVeh1EuMScVe4e8Ml/CSwaucosXTWFaODFwW/CqF3U1PrDHEiFc7mqF8aLttQDdz9ayOFJJS4lwBsRZ4puve736Nl4HL5Q4/I382UVAk8ON5ou5U+BzMSD0EVpYNaadr5/bkQF7NjfbneCPE7LhOvOHzBiE5/PwousT88+AwXc+B7/uzWA9L6YYuGf98QzQ8yKL6VjFzIUu8rj8lrkyWuC6ZAQ6qhju9HDEuwl3XnMEGoHTseMGnn0uLSvJ6mS6h6PY+UoMoIXWm7efAf/aZ2zws899lfvC2eoCRyORsZkMRs1CpJsyQP06dmnY/oumDKTPuNi6zQZ/PHV6NAde9KDJb3+wD9w/ud+xdJ9PwmPNwwW1qvzN+L5FGq6LT+O7/RFVh5n6K+CsUobTUhrbK80zBzTMZ4AnnxY4cHAVopXZLlnMMwS4c2G3dLUjUCDungLhKHH4pWm49D/rhWW787NJSRs+2pJqMZ7PqvZYL2PV7JQkdv4Z6bJEcrWsyoh0qXYZPnudTBs/+jJefEmVG/QsbNn6FLr7T0qgNZ94t6RptPj++fdq0Io0Jp23n9thfx105zdxuID2AR3XvsPAvncbYBUz2+/RsfNuA9fcYcuxlWmudhUdfA1XuvFEAKXImzDf8bFFIIXrXA3sAKexv2XeWC3wvvBW7DATb6yLvgRXyxvMzG8yH3Yz8XLM27Gfiz7SoK6Ewxs1vhQ7l8PlcT7/rR9+I5LHaY5bbni+5ziem9m9Uo1dB7QLeVVD0TD38Qa0ilV2uA7AsyACx/CmN0sds3+5YSA94OnQoOZDTq8tU80R0jWOhubqcr7me8dznq9OJr5ZJkurn3DBabMNQgjEjDyOjA4imkmhW8xi4JrvIzg4gh3khlEgYDkI3UmjTCD3M5/TJdhu0BS66R2uLIutk6fUuQc2natf+455FHIxTsam7hfB+tpB4Lloy2IyEMUJL44/tT+Kv7E/gO+GPojnIj+Jqdj9+F7k5/CIeSfOEso4mbABAue5kLQ1yI40wpHOhq10uYodw8A/uO8G4cbYsulphOgmfffpCv7m0T14pfZhVM0ByT8ErUl0dh5Ab9sXEB/9IySm/5Q2Hh6C7mYwnO7CX/3gx/CtF+7AmSHFKzVWojijQqFuD0dfyeG5QwKPfU+9KahSgGqpQM2gQ1CEmVDtRt7LfujIymuf01O0+QiMFghFprOyTvJt0RD5gJfSOek2WtsN4Ki9E9zkZvFYY9IF+/03NIJnqfAmpfgbKp42JOs8YvbjLQENGS2Gvwvej4owYGpnEB7+zrncsSTcaBIejU2CdrX8Ms4RbMzH+XRqGmGdgYsKjmIT+rNzKBqWLKBRpYyMIIul3Hnzx5rVEDlmUMzKg8uNvWgiOKIhfOIcDUu5v3voBbzj9A/wHw5+Hh9K2dj8ng8AdD1GXsiCaqFzz5WMaFmtFmi1wKotoK2a0kpotcBlagH/tXreuedd+st0mle9WF/S8mx1JXNwPpU5WJmS5NdadS5ZhppbrzbozpLfrPv8E+lnJCjNixFmnrl2/mvS7F/P8EKJFzcMIPqAoZ+HFzcMZLPedgYyGRD3F0E+zaV2uT4MrDPAzmW3a0GwXuQPR3eh8dwManF9fDoGtv7FzONg1TNc55bUO7fe1Wf6QjYErZYmUy70fACP7bofbxo8DcN1MfF8Dk8NT+FQOo1rDyVh0uXduWUEPXfdAQbKKxUHsQXF9PKbKb6Ee6CgE6WASRyvbisGlSLk0demQSewtjTv4ezQZvgfTz30bFqmN7MejGyV0b6UOwf+JntUSinfYneCN4T8byg8Xhzj5CWmP+zJ8CQx7ezxVctQVTi4xExMCPivYlt0aYdfAb72kIZcfcG+hPgyBFiiiXVFhnQNqXAAGrWxEAKhiAlRGEJVd3BGT6JdD5z32RNJlWWy/gq9Cq1uu3WVMj4FSyRnJ20Z7L1Bk24hH4frCkTFMC24ynjn2zzcuOcVbNnyJPi7cdn4+8CbzZK4weLNVQ7yxl/jOMNxF2J4A5bzNUq5c7iZ8UGmAUYpmhEsi2sFL74FGFxfBN5j70A+et/FF9oqodUCr5MW8MdzH8heflnMG/r84oNhJV3KNL40+pHq6vMn061m/Hy+dDvTMa/HPCr7/bGS/Y2G53sObzaj7FyxJtimqpbzMdYGmaC2+nyoKJbaLGHMMXMEDLO73DDgHqvpCOg6XFulMsjHPgb5GMzjNA5zGQOGaqcZp4iMkldApAEMZzrX7if43kMiPor4XArxkoZdg99CsHuSk2G359EVPwOWcgcqcBZyODkLiDAIEHShE78C+rE6mXT9LbZt2zyKUUfXziFkM+10DqInAJtQZggC20dpw/tldOLzgQ/gA7EE/jil4/+Ia/iNmIYPh5Ubjt2Nvwj8HA6jE68YKZyMDEAL9aiCydZLgmxgo1K/uVEPm2dqeNa4AaN2F+xwAW/qPYtoWMfcfA1f/p6Lzzx7Pw47v4CF5IeQrt6FXG4AlZItz1O1d+D7Q/fh08++BzMVtV4cHtOxfF1dnpPksNs8DA8zRA1MTNuYO3tMJZDNwh4abZ4Yngs9oK6Doi/7oS+clefIa0kE6bRFV9WvLWCABWE40Qfh2e8bloY/amyF6wFG+eIl3Llclgh3qGl14pHNho//chobH2j27FMcRI366gMhgetNQZsxd+HR4C0QWhXB7OPQyguShi2vfyv4w6ko5cFlsEQ5x5+P4eeJ6T3zDDxqJ68oEHLKmLGo41PCcgl3ipL9cOH6Kvia7EltBeiuUX+NEdjOdWJ6vm69Dqa7fdvwnuIofnz+FCIf+qdwbn87k0hjZjTptj6YKpuhZbVaYEMtoJ6aDZG2iFotcGlagIEHX6+prxP3Akq+4rL4TLcPQF9oBX0VAzdbnRsq4sHINjDQwpIjv59+fkN5LpTIX3gwQMSgM6toYfUsf975Ftwb7DuvYj8W3yPpGVjnBdaRShqfWjgE1qfOQDYnfji6E7zwYf/lNiFh4sPRXfgUXcvvtd+N/WtcD9Oxipn9wV4ptcMbB1znT8w/g1+Z+h5Y6v/TBIY+RgwL9wdeKF7u+rfKv/AW2B4NIWY4yAcBLefgUCWG/L4duK37BEzXxStPLGD3D9oRqgDXt5/Bttt20gIzho5eykCnHZiLkQ3wBhT3BQ60zRAY7HkIOB6iXYKjlphr7tRlePR5BzfuKEj/9JhyZWCZtZ/6I28Ecfncr3hzh4HVcL3fMvn+gHoG/TGE43yToOqwP1OXzh6pC0L1GSvZgBfqUtrX7PLwzre7CBNPT/sNePjbGhiM53Iup3l4jFbQdIL9XUmygXg2K91wyIVbziAjBDJaAINmVMafj9XTpahn64tQFVrddoz4YmLVHJD+StWGR77UZk266XQPskWbFn8ebtp+DH3tk0h4TxEFkI+9Fc1UyXDiWUdd10Y2V5l+PcNj5X4ak5iO+wa7qxkfLGoEmVajbcVf2haQwHvoJtqEoQfr0hbdKq3VAq/bFli+wexfqC+N7n9jxY9vdP8icxj/K/tKY9Si3893s92xGMee/UEFpq6mVmbaKTEZeNyVnivUMqM8WwE1f6ovnqtouJ7mx1iW74ME0jk0W66ys8IUay5Ywl3XBJyAOgeDzayaQxB/YWYEWFKZMxYcBx2GYkKGp0pSIp3B8XCvysc0bOaNHnhUTzuURTAfwTUdz6DtmudR0TUctzehpnu4due3odVMGCUDupdFmRDIDAH3VoRLUGZuVqBSAbpoGWWZKo7tUj4HFKIIGlmYVhZ6fBQMtr8g+vH5wAfxc4kkrrdW8muc991BDR+Id+HzoZ/DkyaN31TRCeOciL6ga2Y6bgN21zP5rItQycX1Cxp+FNpH5AJb7O/iwd554glDsEwNY1NVfPW7Jfz5V8J4fOIGPHPi/Tg6+qsYCv0zfOrRN+PJ44rn27k1CFcYGJ3pgFGdorLUUaHLZdU93NZ2uIT56YxKIPvF52ahOSrMgiM6bZ4I4miMBN0ASr/cR2j8MQSzP4QLDeX6s8ZS/3xeBpCZL2f/yVwBy96yAAuK5K1+VDWDrmESl0KPO5+r2u6yA3tqZRtoRQHh5uEZ88iJMHS7W9I+QBsySXoG/iHwXowYHdDsBUSHviDT2HL7trADJ3dSukZuZdkyYQ3LmlF5XKO+U7WgnqU5W/HA3F7NsnNfbAa6a3WwnUH2WthDpU1dt+lvNMSSqHzoN1D9+X8DlmpvLFtTwx5qYZWnMa3lb7VAqwWat4B6gpuntWJbLXDZWqASUK/g24VDl+0cr3bB7XpQnvJIZYNIjqReajEwywAtg2jno2KAQXfOw2Acg9dLS700Ia7bkeqcBJhZyptBZ1bRsttKgsHq8z0LL1J8cIilxFlqnkEi3jhgySKWMN9PIOP5lnux9BFhwhDrD4277SQ+FtuLPyOA/uOJW8EbEO1aEFx/bifeSPjUwsvgNwJ+mUD4SWd1MPVi69zKf/EtsJVAd1NUMJn04Ey6+O/mFhy9JoW2yDjMnIN4XkM7LQJvvLMD1Vg/HFqEtlsKMNVH1fnPVrNgo1d1WFUBk1ZglXISwaTA8l9iQMXNn3FRTV6P9T6eyvkfjGxlB48Vx/GFvGLe+c0SfpY4gZ/FMPVfHkOWjwN9YaYAZup6XNN1XpkXLipF2QyoT9J6zbKAa3d7SCWB977HlQvXfB741iMCw8Oq7irHpbUfnUiDJdyTpol7u1KY5XqWDIA2L+LBOTiOwCQsFDUTg4ba6DifGpzvh1Mdg1bs9RNUgzvgFEqQH0MNAIEEwBgCh185u1NSXb/pJUTmvgjUytRON2E2f4uMb2b5G5gDRgNS0IzwPOL8TZfHmrzl4BfDmzU8TvF4dSFjt19Oy/VboOW2WqDVAhfbAv48xnzs8rK7uE9mAAAQAElEQVR4zOIxjec35j0b0zkfj2U8ph2ppBuTpJ83qL9XGsG3CkPgNxFlZN3icjkf85xcTj1aOj6QzxvpzP/KyAZrxinKkM/7y8AVaAVSqlL5vAfPpbm7qsJsR+p8AfvZNILT/OYfx7EkO7vLDUutBwh0NoSAZ3iLyY2qOYL1DX0G5/keMdHMaZ7UgYSaMjlq0ZhWu/THie/qt8ex7fpvQAtW8IK+Ff8r8AAKMBHvGMem2BEEcmH0tZ1CojeDY2cEjrxC1yZzAyfr39Hs6jpXL06aHivBrFnoCp+CmRjHNPERj+l78Y+hn8avxIPo18+VwfTLzQ5T4LfjGqrRt+E/hn+L5v9t8H9GXpNez5DOmhbzZ/FMGJbQcXdY4NvB/SiaBkJtY+h1P4nbJr+On9xm4pbricbUUKm6OJUt4nmRxreGc/jbrxWQzTuIhnX8zE+kcGe8jOvESeSKYWSmp+D/CmPKF+rxMD06j7JjIloOoiYsjKY7UJt6ThKU6m8DBJPqGmTkZbQYbI9kvoCa7uDZ8F6cCNwsz+b3NV9FCn9fiROOLxTYWWLaDRuvmNvhugJ29tJgCcVeR56DJcI1AqVloG4ZBQFhjMMVVfAHU/2+wjz0r0RZCCSGr4fejBJtfNjO87CnX5Y5WVqcPV5R3Re9LkXOcRsxgjZy+Nz8wVTXHqF7Z0DU+9pMQPGOKdtctSgfdOd+ydcVPWwg8ZwJvQww0M6APEv3cwHWrMaOMlqDX8VIW69vGPDGmoxoWa0WaLXAui3Q/GlaN1uLoNUCF9cCrAe3ZnRBdzPgD79cXGlXRm6W+uaa5F2aHdmzhpkiRv0fssdX6C8/B8BEzxvEHjCi8owzLHUjfZfWYt2ZXOLNgY7zrhvna2ZYMt+PZ2Z8f7AXf9h+DxjQ3x/s85OueJfBd14EfrLjHrC0/28l9oGl//fT9fACkS/g24VhdlrmCm2B6xIRaMLBSLeHa9Me9XGBb7bfDvOaIqLBNCJ2Gu+8bgql7hvlFbz0BRfDT/dKf+9CSG5EMdDNz19qxoaglChKON1u4PfyZ/AfXjyFvzwxis+eGcfDYzN4yc2isEstPEeORLBtM+cAXn42DX69l7KvOPbTM8HPCW/osOG+dX94YAkdP58csVwqryvOscBCRZMgdoEA7JAQCKrTqkSy/YUqS7f7i29273uHi+uvU4vXww0LW8pyyQ6WYvrW+Iws74HBTgR0DXPURHahClBdA2IGLtX7FRGHoXvo0AM43x9fSzJJC40KMFdfZK5XRtXeAk+YKAf3wimWJLkZUA0XpMU3R8zN9kPXgTDOQnfmMD/Xg2PH7kWsW9ExzXJzOaTMedOF5yIGrRhoWn5ODh+uzrGDlv522Qwtq9UCrRa4wlvAV7W4n3iqDl0JtzRW2R/LDpanGqPBQHmjGjZ+E7ERdPfL5XFzSUYK8HkYiCcvfN6c/b6ZJj6e/R0XMA9xvlfTBFLqbEWa99jng348H/LmOseFl4HvPojHwDqns1k4LVCYUHNayXVguxrxTSDAnVOVYfDOsSEBva6qJSMZSPXfAjamKZFil6uToSiYVgdKhgUrUMaNuz8DqyuDGSuGP3M+iMPudhwO7IAbcLC17ykEixGUKlHcvFl9X+WZgwK5PJcC+TFV9m1vUCcjvBJyExwLtMfPomLXMKsn8HjgXWDVMT6AqihWt5lnYlUin0zpuNkSi4R6XTf+RiR/ee5vm4lCh8B13YBmxPHvO38TQ7FBaOEaOjZ9D5sLv4N9Yz/Ez94ZwI+/PYFbbwij3TTpmokPo2PvrhB+9u06wt/6Cnpm/gvevPsr2G6exeSE4lFAv8YPpk5OFGEXg+ieSqBvLkqpwPOHHFil48gvODJs2VSw9F0+ywfbBYHtr4Svw1+EPoKIrvrEaJ5QYDp1kHXxkeurlTmUUcItFLV48ObHE8HbwTW3is3fXlkk3qCHwWnuv0zeCD7//9n7DwC5srNMGH5urFu5q3NupVaYkSZpNDOeoBmPscceG7A9pME2a5JtPoJZwvIDho9dDCwsC5iPBRt2F+8aM4T1GC94AjhNsidpkqTRKKtbUksdq7srh3vvf95z67aqu6ujWlKHt7tOzs+9Vfec57z3PYpY1kujDcB2bRw1tgqsFcomDd077xE3xtfN/SKtG1BLCA3/q0wjCXEnmoBdHIJSLMKYULz4Rdq6ILhl2/op2GoBk1oUsYksxgJRKIqCetNYsCYa18QNJfk9NQWpTvXlOxykrivLuFLckXVQ39QZGw0yoWJROU1cIiLvqc5KNDuMACOwAAJMuC8AECdfOQTyIW9He70cntpjRCRYRIRJzzzWlzMn8ZXsafz8yDOgyT8tCij7kYoOyuW85u9PZmupk6C6L9f4ujP3B1aOCG/SgiDpcJJmJ7KaJMYp7nL7ei3LhwQxRzrhSfqfxvPvBflO/blS14XqZnP5CNDrqxpJrtQ5uFFMOH+rTgUdiPSN9jvR23sIO3YcxH9uuwt/k3HwrWM2Rk8ATimMOmUC9Dpu/WgI9EfScuGcNwF28xG81WOj4JRAC85D42m8ODKJJwZG8cjpi3ijyWN8B163sak3ip3155CZyOObXx2Yh3Rvp2ak+WBkq9gY8NqSEcIife7CmUUQ0Jw87iqSsD7iCeZhpjAT6T09ecpbDFQvVKk+Mjfd4C3GSALeX9hS/JELo8gVBClOgcswj58fAR3SRtdit9gAoaqctFjpCI9pqjCdEeEDzlQIDn+TUUYuwYqGvXGMjS6uUKru+zDe/DOCdLeQm7BkIatCtFt1igyjZIA2kSngKiZefeUDgGjGqqOY2YY2Z+heaVSDs67h7NxLi6HfHipRTTRR2De+FGgtksnPw+6qRoA7xwisSwTo95AG5pPZ5CdzpuQRbnP9ZtGci/LNnGeRoAhtPhJxTkIQlIdId38z8qX8EEXhOqNeujOt+dTK+H1a7nNoZltXMmxUVMcUCuKhJBpSS5XnlvAn5nhG+USer0PbFmXPfUPBma8qGD8G2FmvDk0QjaKaaR874hF44bIm4/O2LZ9zelFHYjgCzQSsRq8vMkPFqldVnDdaZCjS24+MauDz+vuRLLbglvMqvhbcjyx0tG46hLgp5gMjbYgFLuLmLo90J7V39Aae4DVBGwiRsKxKWlpxCBcG24RfQUvrMTii+69pu0Fke4Mqopf4mVlEr+BRis8e18yq6TqEsiYsMRZL3HoPij2k01o3/jTxcxju+n440QaY8RRam76MhqO/j7ZnH8EtE6/jLsvBPeVGvL1DxT32i6g78Dto2fJv0EVe3SyjJ3EaZ86HoJW9+zonIKK2Q60uhgfGEc4b6G16FluLE3CdEI6c60F56Hk4lb4HW73rRWWuhFHPPIPI+JdBZPuF8Hb8kfVhFJQA2jVXNpezvfumI+QR8L3RkIw/PlGZtMqQZ20zFLxl9KIEFWaxf5redC/HJVtPnYc5fupSxDy+QrPXB+v8JSzUguKV0M/J+4YOTJ15z5DKoYSq4J9D70IOBugAVdpcoILVetxVsb6guMUac0yVWZXAIbgCpuP6JnRNDiOjeXP/oOaly0zzWLaY9xLpbltAZostjDe3piJEoPv3rTFRGSslzDBGRX97OSQ6MiONg4wAIzA3Aov7ls5dnlMYgWUjUAztEbu1cWjOBIzCWVmP4ublRIHCJCUoI9eIRUQrSRZSd4lMIXcu4+uMpHSa/P/qyPOgV1v9+Jm6JCnfQsZfiJDkxEJ5l5pOfSNyKKwYIGnu2eWXH0P17Q92LL+CVV7Svy50T8xcRK7yrm+o7pE0V1dQgeBNcaLkQHhBUkyfaIrja7t+FJ/d9lGc06N4QSw6J/+lLCa+Lkq2CaMoZq8CqabRgLC9T3zSIK4VmlhEDNWLhaaYEP/ydZvwY1s78PDmVry7vUFmHBWLpIlYGflxFxezu3DnPg07GwTpPpnHk18+j+TobBJ7f7Ad7VoYvWYdfGJVVlax/PvtSGkMM++3zrCX6agYA/k6dbIvmTePeBPtrVtcVC9UL+WAVC1D4eSYl5fUv/ylIMr/y1tnUS0JR3mWYqiep4eSssjDm1qlS9Zk3lv8hCMGnEw/HPF/Xg8jLH6Llrs519JCNQPjvr5KLzi3raggEp0y5Ca8/gQT3vijoi5XrILcQgTBrjth6w0Ys+9FPh9DMDH3FMsnva8LJKjaFTX7xe8pEVdENPnEkt8Abe76zwj/XvHT2GUEGAFG4FoiEFa9h1LWvUQGUX8W+s2i37KweCZUz7Pot84XFKFDVul56b9V+TepY3gi2w/6jaRyNA+ldmaaarUy1c9TqpvKUv7lPoeo7NUygXqvpWJFpZxa8MJkRyIeeeZLulMcmYaKmgoiyyk8fuLS82zgGRWpCZItBkwxv6H0auNYXqip5M2LSOCAhJK6+hpQch2QihMi3b1cl2yakyT1GPIBBbao97ngzXgxfCvuPK/gnYMa+pXdOIsWuJaNbR3fgZWJ4sBbN+Cm7lcQsyaQyQDffNp7Nvd0XapX+jJ9mBhtQtgcRiA2LlVzqMV2zCROZd4lWkSiKuKWJeLSsTw856tiZKIok2ONXl97DVVsSCg45wbwK+5+fKnt15Hr+C4gZMJqGkbT1u+gOfK/cUPXb+HOLb+Fm8t/jobAP0AXc0g3FEGxdR8UuGiPiXt6sg6GIKAh/vwDU43ABZwfjWKreRodzQcEdo+jeTIkSqh4+Wg7shUJ90DluomiK/4JXDwAZejvoOgljEd68duBDyOrWNimK7gjoMr26D4hD83HyW0XxDupF0yWSrPml50aoOpxnDY6YSs2jKzYBaJCM4xiF5AY+HPUXfwMQheenpE6O1iqc2AHAE18R0gFC+XQ0wo5gOmpcqQDU4OVKC/Bs2nz5g39ejwRvAck5R5MPSs3AkiPu22PAvkc9IziZV6kbYx42NhWP1xRtIwYQqU8zoW8uWOi8j1dTHVEuo/vKyLf4X13q8v4qqBIAr46vtpP9zmFpx+YSjFsGAFGYD4EvG/xfDk4jRG4ggjkInfJ2iMTjyIx9BkkBj+D+MhfI5r8W8SH/wqqPSHT14rVY0RlV30yRQZmWD55TRI3n6rbByLpaeL+6fGXpP5vIkqWM4Fv1IKypepFgYxYAct/7Zb0Ra9AdRuuCrrWNOgjRU+VA/nZrD4EdsRM2amD2TKSfR6x2qkp+NmYht+rN/ArcQ3vE/PtcBooiQUhZQ6WxQxYeBpGvO+f8CIh/IpY/pxo16ChhN2JCGjhQK/H3tYQxwPtjfBJ9+dv8X7jBl6zkem+F3fcEQRJupfyBXzzsQHMJN3pt+F3G+7Abyb2UVOzTEiQDr6U+8z7LRZwZf7jKc8NKYoMk0XS7W8d9cJbvTOeKHqW6e7yyvaf85KeHBiVHloQ/dkySPeLFxUQ0e/XQ7j4iy2q2Ml4C9NIRCwQSpOYFOT3eUTRqC1/ZUh66anu0Rpfx2xWweQkpdY22UnvgVyEhAAAEABJREFUvjAri+rBnCYzxjSxOov2YqLxJ5Ac65RxVtzDUwZmWH1lr5EePTYjZWWC1fr+6ZlABBHV3FdMy+cMPXfoXqE4NozAukKAB7NmEfB/k7KOYC8ro+grp+RvFs2N/fRK0jSHSHeK8J97JN2ecUug+ZdPqD8U2Qoi3Sn+CylPDcV+sYlN5WoZet5SeUr79dHn8aX0SdBvqa86kvpEaavdRNq8HopphfQELmogCV5zVEWDpco4egtOeiqW/xxO0uRAxGUvCEt8rHphiY9Rkfp1LW9OIKKmPqWKiopI5fk4mi8LQtnA1sFmlOEg1D27DBUmEnNIEKhELJ4y2/GP1vdiZ1jB3kEV2YvA5sMq/sW5X2xsA1s2vYCgkUJppAlvnOrC993yRSnVTvWQ6eyY3kZyNA+zYKEhdB5qLI+samHkxHbka8wDqPxSjE+iLlby1xry5ouxRm/+0CAuwc/GFEk+k7q/L+VN/I7xfrzY9fPIbn4IxdZbQMS6JjZHgg1DCDUOwNGDmKx/DwabfwNnAx+CreiIx4YRtvMgfe1FMU+1xfSJNjayhUnoRQMdjYcR3noWsa4zuFE5DscNSSn3bCoOQkuzyF7KyBefN5D7NhS1gJKYJ/116EcwosSRUBV8LCoGL6rxBTbqZ9yIHeGASIU820d6qqztBnDY3AnS425lXq9KueS1ki9DVZJQ1BIiE19aFOme6/F+fwJik4dq0jOij24WtjaGtBKGFmil6FmGriOplnk8+A4MqRHoOCfaewZSj7tbgJM7K8sYixT2UPMKaGpJGzmufg7yT/ME1PK6JYMz8ZKRy7BKlTczjIoUe60qfOn3xahNqlWe4xiBjYqA+AXZqEPnca8GBMqBbriqBcXJS0N9otfyKY78eqGfnDVjLh1Yd37OPvvkNS0OaBHwuw1vkwuAsCDKqJCvi5L8SzE9ukf20+KEFgRLKTtfXqqLDquiPPMtTCidTW0EfBVBR0rJ2hk4dlUgcEMihKCawmDCxeuPlaXkud+xoAK0isWL9U1vIq7er3lJuZh0g8Ma9JIGTZhwVpMS8BeiIWiKjX2CZJeZqiwi3UlypxDK4WS7g4uvO7K9XMfbppPuX50t6W4oGlRB6FdVN827N9Akw0/nLkjXt5oNRXr7S9JBh3ZpcUWkd1GMr6VZjLP1UryX85LdUkm7OKjIBRBJpoc0FR3BAJZDuj/3vIKvnhwHHYpFeNzbUlnNV5osFD2CO4wBlAX0p5UQdB3wNzcr2ZbkJOq98ZFqnOqCdOja//mygn9+rHJtqxMr/uyEtyljisUx8RBnzqtyoZpLBaC4eZnLrrAawYoUvIycYb1Z8H4L6DkwI2lFgvSb06gGcaQ0hp8feQY/OfRNfGjwX/HHE6/J+q8zp+MsI9liBBgBRmAVIEDzTr8bRyoHoS70NlD1c482GentUarj4/HryZkyRLr7m9IUudcUDz3yzGE+EtuBXUa9JP2pTnojlVzKvqkiZEP+1WzUgPfMyxQ915hUED6lIfqmjlvHdHxAN3CrILarx2CJ5zo920nNG52vkr3gzR863+kgfmsZqgiqriLWcNWlPL9beYTWu4YXIWwif+uHI8IHjHV4G84yMMM6H7kVz0dvwZ9FflxKMBMhG6rwm7vOqjio7MS4EYHemMYNTd+BlY3i4KmdgFvG/h3PyNrCIaC1MleREcJKjpShlTW0NJ0UZLWDC0ozopMJ9P+bCiKnRZZlf4wKSUmSv0TgE1ajhxUMvqDi7NcUDL2igMbvNzA8WZDeeKMqXbJIuIMkpH8yooKI6BNlF39U6MTntPvxr4kfx9mtv41k7y/hTOphnBl8H55/5T/hK89/L/74lRh+5YyJNxWxnnZctJkj6DvmYOApr+5Qm4uz/WmESwpaWt+CoivQG1LobH0BrRMWbNVAWWxE0EQm6KvIow6toFHsAvTKev7vre/Bd+yY2IBRQOMNivuImvKl22eqSNlTUS94cDxN2aaZG8Sc9vXAboipIQLpN6al+QEr96LwKigEGrBY0p30uJOUuzGhQBWktyqmdqo2AEexcVFvAl0rzPFHqmVUPY7Hw+9AyVEQyn0NakCD09gOpzgB0uOuepd/jhouRdOGGIVKcZovTsKBuKb5IEVhJBCWrr8xJgOXYTlis6UcdqEIMI05NgSMyn3uk/OX0dyGKcoDZQQIAfHNJYcNI3BtEHC0OMabfgoTjT+KZMsnMdb6K5hs/CgysQdlh6zsAemuFYvIEyI5iPSmCX+tfj+dG5DR1TojaQHwOw13gHQyvze0SaYvx6JFAZXrK82emFD8cszTgrQjaSCqu0nzHvTLqWcjl6H7gsbvk2zkZ7P6EOgMWbAE4Z6K5fHF3QV85a3ps+L+F8ooi4l3XY+K6/fqmGxSUSjG0aKTlLeDLem4mFzrUEnFiFVGfySGsF4G1VtrtO/uaIAmJvBv9uaQspwpqfpppHuhiOe+Np04r1XXC09fxFNPeBt9/mvwRLZWExctgUpJ13ODirfSIeL4raOe/8bKwahejtl2fR0QDkO+uv2YIMopx/6WBH5mZ/eSSXdqdyLn4EL9MGix5x+USnWSyYl+kg536lkkmEa5BJx0LRiGINwvQzKcBKgSCWoBGBQbB+R77Q0FdOga+W3bxdg4+WYblw5wFdEBsTihTYpyQIGiqBgfbYJeFOMQaflx0XHhWjHPFd5pH7om9FZTWGyy+hul0zKsQIAkQf9dbCeofnomUVtULf2Wk3t7oIUcNowAI7CxEFjVo22qSG1mHPFjX+lpX+VtoF1G5Ue7Ej/TqX7u/fG4t7H4nlAPas1biYTvNerQpkfQY0ZmVjUtTL+hn6q/FdVvpD5dmcfXqnta4VUSIKl0TewVj4oN7NLNLkiHM5GKJfGM0qMuWupdbCvp8Ak+v9ttQUt6j54sgAhjARcIruBOG5Yg/1RBuA8KYjkzoEwjrcsRb6O8yw7K8sliCePHFRiizGhjCpO6mEjJlNmWarbjc8GP4qLahI+ITYCgAoQEaUw540Xguro4nrVuR1lV0Lb1FdSXRV8m6vHlF/ZjR+JZPHDfBN5+3/RnL+k0HznfSNMMNNafEsQlcCy2B11ieOU0pshpamM5RhXDsYsKTgq+/9SXVZx5TJDtzysYPQSk+hSMvKrg6BdE/FdVEFbuRUM2EyORaOm7ZN1gKvjVuAqSlKZYUmP4NxkX/2HCwK/nOvH3ibvxF+Z78Rc3hPGPux0cERsLxaCLw8Y2qAKTnsajuJiOQUl5AmtmuID+czralCQC0SwcMwBFEMCxTcexz3wVZScExVGhC5zVwJWhhbTiOBQ3jTE1iv/rdIP+fiKioHr4PuHuS7RTHjJ0pg+5p1JZcqaZXkNgrm/CqBYH1BLMiSPT0o10P8zccaTF+H4u8gs4FdwFReRbjKR7uc67h0P9GrS0KspdgK2UMPPA1GkNVgKkk/854zYcNztAIurRi/8Mt6kNdlms//MZ6CQxX8k7n2OOqF6yfgo2HIwLIj+a9/qV18UXWqQGdVXYK/Mp13nfG7OiN766Vuu8Jsl42oggcr46jf2MACMwPwIr9y2dvx1OZQTmRMBVTNh6M1zFmspTtHphq3Ho5UHQRGkqYQ14fCkcX3dkdZd9dTJhxQBJt1en0cT9ofBWJLRAdfSS/L60TV85taRyNTO7DvTiORzKeyQeSUzWzMeRCyJACzYivYhkW5Frs2CLaynDtevrn068gWfzYgJc6QJJdJGu9RviYnFp2HgcJfzhkXHQq67lHHD2RVvm3HKfhk4NCMRdsVgJgPR3U8J9Yx34QGkreTEUDUr3bY1hUL0yMMO6rTGO2xpjKIezeGOrg77vlKdy+KR7zMghM5nH6eNzf6eHLhZw5lgGF8/lMHQhD/otoQ0yquzlyqFw5G8R5DC5pZJCDuryCk6cBOigscVIt8tCwmptcVHUyzhVSiGkqbi3pV6Ocamke79YDxLZbms2IrkQNhnTiY+smPsHMiXRIhC3krBtBacRhqJCjPHS80JmWKIVDYvKRZkLg8A3n1LwxkEPE9pMENEYGyV7tsmOe4scvV4DbVK4oi+O5pVNDWuyQC7pLYisOpEoY6Zb/jXp1qPTE1Y4dEugCfQG1Wea7sFfNr8dX2x5F/6k8R787+Z3gs4AWOHmuDpGgBFgBC4LAZobUwVZ13vWkt8/28gn1Cmulql+7tE8i+r6YGRLraygDcnfqr8Nf9hwp/TXzDQjkubs9Hv68dj1aFSDMnWnkZDuWrAC9V4vM2JDmXQ4p7eXMXljCeO3FeFut6GqLiLHdKhiXuDlBHwyb+Sc90yLV+SB6CBVSzz8VEdBqQj0Pa7gxN+rePN/qJJYPvolFSmxmV0cUtFcMDGaK2FQENABVcOFtiT8A2f9dqpdmltR+O2WCiJUyd+wC1AFI9x2J/D+FgVPWm9HDjqspmFsbngd8WwQhbFWvH5mG7YbX0R9wnu+o/JHOs1HLnQhao7AqhtDWRHjDLRh29sd6GLaQepqSAq9kn3JjiYI2eIkkBa3LW1shFqBht1Ao9jcaL/HAYWpUmrnlCDj9XFD9F5FuEGh6FkmKKJJUvq36jQ8FFJBes5DioIxx8WrHWKueJONUreDjnYXHxG3+E9uFvgntot6XLQHz2Mo3YzWG06j6RYXLb1vIZWNgPS7q5oN26pHKboVariEtq6XsTUjrr8ThKIosK7QoalG5gToihzVPbKdNhP8ays6LT/JQkm6lrhHpKdikQR3RzAAetOC3qisREuHcCJsXjOvR1k0YKWnS7lHhh+HuN3xmnUdkkoM/2/ox/GmtQvKIkj3bLe4mKKVwKAKrQBx/12Eo9gY0NunbRSILLM+dwRU7AzG8X9D70ZJbEqZ+YNwtlwv5rAjUPIZaL5O+FklL0UoZcCYVODqgBI8A1eMjw5M7SCpH4j1SMj77VkplTKiShTrve+5Pq5QcMpQX0Ji44EiMuJ3g1w2jMDlI7BxalA3zlAvf6R//Jf/iOvv+ygm09nLr4xrWBCBcsB7MFuZlxfMu5oy+GplXqoiuvz+vVkak94rpZqlUQvK+o8UvXZkYJlWMP0thEf/Bj+U/jJ+vfhtvKfwKszcQaj2xDJr3NjFNhkeudZXmtzYQKyS0dPm1wv5i/jfk0en9ag9FMDP7mzHwz0BGGL+f2hCw//7xll86cXJKen2RI/36Exs0mTZOngTcydpo3nSgli5YDwoXAA3JrzvpPDW/DzQ1ghTyeJMZwkXJx2kB12Mijnv8wUHfxq7HcUdDsQ8G4cPjCGTFjPwGrW8+NQgbLFBVhYzcp+Y3x9skzmPlJLSJSssuq0qChyRb3hYwbf+WcW3n1eRrGRZSLqd6iDT3QkMJcRvjOjYrQ1xSbZTPG0s/Ni2DpBqGF+9DMXPZUYmxVijEwQXNl3swOtvTJ/kjwlYA2KhTuXDVlr2+4gSh6656NajFL1s09LiFX1DEO1nzykIh4H3Pc9BtugAABAASURBVOjgup1iUCJpfI5Xap1cXqQCfSTRJ4iGlmagodPrdzmTkmmp4YB0o20CcOmbbvWTSJ2IuhabmERKaeIeEM3zhxFgBBiBVYVAUNFlfzIVCXd6UzTjlhBWDNBvl0ycx6r+TaUzh0KKMU/uGkmLiNof7MDvNd6BTzfcger2FlH0mmYJNnrNp4e9Z5wX8uxcj428IHKJWIu9YcAn3TtD3rNsICMYR5E1UjnDJefYqHMMBIMKzDYXgsOVxLXIIiXh6RGXKbhwBNsZdLx5khtz4HYXcGbrMEj4hPLWMrcFFHw6ruGDIWUqWQu62PnvbCR2OZLsJDLz1eBu2LqN7u3PIYECQpN1ePHoHjlPio4+Aiv9rFyzmPnjyI+PwhGb+vWRs1BCBWTEWilg9Upp/e53OrIdkkInaXQZWIJFmCkpBSUxNRgNJNHxUAmb3uug5XYHzYLwrtsOGd7xEQdEwBeNsqw90OiCyHkZmMMiCfD7LAWkeuX3Eyp+ReDykCDg3255/v9Up+I+kX6HwOy8uRlFzUAoNoFGbQIpN4smQfifH0iLuayBnuZX4aoK/k6/FV+x7ocbiiDS1o+9xgGYZQUhlKCKunAF/ozCORQdBf16B24XfaXNBMz4m0vCnbL5Uu+00UPhanO7uEXfDOwQ80MFRv6tqSTFLiBQPIS8q+Kfw+9Gh6agoATwe+Efn0a6W2OvT5Wp9pAUd7HBmYpyzdPC76JodUPc9sI//+c9QRWnrZuQUUyxQpiEFigJwn0USrEAPXPp3p6rFuu8JpMKLaIP9jkI3h4lswXh9LiMz2li4MJXT69sCnclPqU6ByTBTv1TqzbeQv26lG4vxVxQnpVoi+tgBDYSAupGGuzljPXLjz+D//63X72cKrjsEhEoWntkCb2i900G1oBF6kMa1aCcUPbNkDQ/UvSYrYV0Ri53mD26R0LRImW5dfjlDIH7iJNHHga2qg4ShbcQmXgMdcOflRNZPx+7i0Ngb6BJZjxQGJYuW9cWgT47JTuQEYv5p3PeWxwyomK9sy2IX1Qt7OrXkLHr8YQFnG12sOU+bxJM2ZpbvUlzKdtAQQwNFITJism1gpSlISiy9kZFQZla2yLpHTooVEcB/7avjKe/VMQf9Nn4YsbFGyUXL23ejHhwFOlUAaePp2dVcujVcaQmCkhpKnLQcG5ArPpELl8a8ED+0v1WL/pjGN5i28h6fe/udHHnHQ5+6AcctLZ6aaL4vJ9YYxkjkXEpcfO2+sS0vDSen9nZBZ90nymRVJ35uNi8I+n2biskFnw6Tp5SkM5cypETGwOByiZDyMwiLcY3onsEymLIl0s1zfZVd5vI9gfEopviyFDuUbGfQG61oc3GTDoGQmk45U2fiKA3vcuP1FBAbkjm0hGZxwhUl77k99UR9Gje7/WlFPYxAowAI7BxEQir3u97zi1LEI4UvR9imlfLiAWsWwKNMkdYMfCesCe0IyNW2AqJ+jfrsRWu9cpWp0foyQUUJmu3k9lSBulw1gS3Hn1Tl5ksTUwahC9lFEHksCVIYhEESSNbrgZNVdCwR8yLPuBg+w86uO7HHWwT7hYRDu50EBIb252woIhqEu8toON+QbqL9cRwRUqX6qplBK9cK3oq7nZTBamVySs6Il3nsK31WSRKYoc+2YYXT+4SBHM/Qunn5JolMv4oBgeS0Ism2hvfgqO7OGZuRaPuPaCteoCIcKr8wvMKimnyLd4YEyroDchT1iT+rncAv/HmCfy3o2fx5MCIPOfGr4nwIwJ++PvP4Zn7jqB4l0ec+umLcUn6nwj2D4rNCPJXl2nQLZwSZDDE7KMzcAH9A7p8Q/zioIsmJ4tQdEIQ8ioOmtfhH93rMRjqhmLZ6Nj6PHZqF+WmhWp588LqelfCb2SPi3kxcDywHURE16ozWxbEskgIquJmEW71Z3fcmysdTM6+OL2GijeM61AQ94JuD0LPDcqiwZFn4KCMQ+YOnNa65aYFSdYXfNI9sAOKWkJ4ZG5uJ9/uyLogNi8cfQRpJYy5Dkz1Ml6yabPk7QLPY/oWlAVbrgfScBoaYJcnoKRz0BYg3YMDHg4kda7lvQNT3dA2KJPeb+KoFZGN0ZxbelbIKgvSnaoyJrx7wRhXYZ1XKQrpHd7vsgywxQgwAotGwPsGLTq7zLjhrJdeewu/+6dfxB/+5k9tuLFfywGXAl2w1Tg0ZwJG4ey17MqS2/bVyjxT0fNIFRAJfqQ0BloI0KupFLfSpsfwHsAzif7ltEO4j9p5/J55Fy4mfgTZ2DtQCHqbIDSRJemR5dS7Ucv4BOiRyqbLRsVhtYzbV+tB/ZlrE2TnXQbuvqhjz0lTkMsKDt+Uhi/dTuUSm70JcTYTQ0d4VETZGB8tioWFgkxQxe6MJuIW/tzbUo92q4BsyMW3O0uoP1CAcbaIt4vFwC2RKFK9Bkgq/fTRCVRLuReLDo4dGhcLDRXndpZQslyMp8t45ugoiJCmDbiMW4J/z9ECICrWLZGwi5vbIEn2++51sW0rMFNIZlgsCD574CheHB6fNYDnk0mxaLURzYdQSpqz0mkBsCfh/Ra9NDoxK50iiiXgVDFFXnzP5gaQpDgFLl4k2zM5QbhrJQeKmPerShnn7Rh0HaANTS/H8u2WFhd1dYDYz8B3v9dBJOzV5R+ompw9bGQnvAW6Lha7fjodIhuMe2VzSQdORlyPQhC0lrfqvPhqm54DGXFNruRzoLo99jMCjAAjsFYQCBEzKzpLv5HCQT+JSguPP38S3nk/zVoIH4tdj1+r34uQYsybd6MlBuu9EWeGPbeWnbquDF/CNXxKR0coIOY+QMosIVAPEGlM5UgaOVbWoIuHs+M9FilaGjMCT+JdbOCrgtxucLzrkLVthFRd5qHnoPQs0xJTIowGduO41YOyUsKmW55GszGCukkLr5/bg+9cfDcmAnfJNUtZb8FYshOwFdQ3nYHgPnHB7EGvoUy1TkR4Xa8Lut3OfFWFXZxKWtCj5BSUM4ogu8VORYVVIUGDJwZGJfH+668ex5vDlyYUR4pjGK9Poynh4bJgA4vMcKOp4CCRyCL/poajGJ6Iw8odwukL9WjRh2CEshg0G9CnCixEns8Hvg8k5W42JtHa/CKMhXY5RJnlfBS7AM2+KOBXkTTbQPPQWvUMZAV+IoHuOeFM+/TGQjJ8ofKGoQxULKqvUWw2HDG2QWy5wMweA7UZnvimILpVvGTdCFI7ExSX+8GgCp90/+OwWNdCF//nMJeUe6nOAX0fVG0ApE5mSG9ApyYqqrS9kEOE+2mjG47IaIh+kR5310lBKeahVUmQi+RpH0OQ3EoZIIlyO0j3zqSoQ4U6nIN66k2MmlHQxHglpdtR+SvFqbdAYFCTMcE+z8122yCpfxnJFiPACCwJgcqjYUllNlTmvnOD+H9+9U/wJ//pZ9C72XtIbSgArvFgC6Hdsgek/0x61ohVS62MT+rttZqu2ChCYoFBJBs10FdOkbMsQ3rzs3Yaw0oAmhpEj9hVz4duRSb+INKxB2WdTLpLGBZtEQFKRCEtJI8w6b5o3K5Uxv6q78fLhSHMtQDc+yMGbhvVBbnsoqhP4sWRSwQyTfS1FhVlseI0Clalqw6yARUl8V3cpeqVuPkdS1PxYEccUXUIgy0FHOm0MZYr4/GjGTz11hkcskJoi59HejKPg6/Q5Nur7/CrE8jlS5iMu5gIqQgn0mJx7OLFw+NSuuo601thHxDj80oAdQEgFgM2CTOTZPfzkPvsWApHXeCRvkG5aCQ99hSftx08PZgExJqjdbQJ/edQ8+/eFk/y/cWRSakDf2amvlwWY1oWQTH2bdEQbrpBNCYyvX5QFbb3Gc87MEo2AnoBqmLjlBISv0eAv6GZGSvi5DdKOPWtMi68biM9CClp5pVe2P4eQbTfc6eDahwsZQKtiXGQTvuxS1DLynx1MjmxcKf0RAKybKxJk+npIVeqHaKAIRZ25M40BypvuFzJ58DMNjnMCDACjMBaQKBJ84g1XwLaV824lLeB7g12YJMuHnBrYcBXsY+BBu8Zm6mhUsbvBhFqkzeUQHqjSaq14bwJRRRLG2VENwlPJSNJI1uuJp7LgG1diq8kS8cWG/vkaXcscpArO/DXJ/OplJGZF2HdJ6r9bPhHxTwiAjU6jk29L6IOBbRcrMO3Drfjzx/bgb/65h34x8MfxKmBW1AXuggzkhYEvY6StQMz/xpvcaVaHCLd+5ZAurvnFCkQMRDIyyrf39WMn97Rhf3NCRAhSrrHHxu6NJnw5/+L3USSlS7CIpUpr1vXAYqCxuAwkuONOH/qPIqlADY3vQm6Sm8Ge8VGlIKEquA1NOFb4bsAQSC3bH0R4biY12Hl/4z0adiKg2GtAW3B+jkboE0cSgzp3nyK/L6hObKvx90n5v00crcbCl6xboAtdlPM9Ouwki9DRVK0GccLgVvxILHtlFEYn3SfUGP4x9CDKAtgIslHoc7x6kd2axlQL4g5fQ5HjF5sE22Jahb/CW2TebViP0iPe7l0Hko+A2NClfG1rGCF5C42OtDzA7DhYFyPI/7yizJ7ZsfN0qX5s/SsoOWr0TEmFFjntSk98nTuwwo2w1UxAhsKAXVDjbZqsAMXR/BXX/yXOU0uX8TEZAYf++U/xL//2Pfjrn0e8VtVhfQGDBXTzCLDpq7SM3FZZZfT3loto0RvhKqIH/3iCVh6cc3gdVO4AS16EGNuHifccRD+r5aG5VjeFm5F2OlHYuzzCCopmUbpK2VazZBsZ8BNQxcTKU1VltTGd0oX8OT40zhVmsApNYH3RTdNK6/Eb0Sh/n2yjUjm24jmvj0tfaXGsR7ruUFMNlVxPx+3vXtiPY7RH5OqKjC05f0++nVcKfciMsihDPqO7rYa5L18wql9TeKCTN37ww4+0JiHJso8OTCK6n61dSjyWRCCIv4hpsUKMiFAK2rYGdSn5a0uN9N/T1sC/8+ONmFMfHcHsGVSh5k1kc83YaQYx/kOF65o6dSxCZQKjjRHDyZREL0aai+jO9GAaFsWATE1D6UgCPdRjCU1Obaj5eRUPxp1Rca1GMpU3My+UPhUOifHExLPqpOpLP7rkTM4msrg2ZEkcoJ0b7RDqMuHQbrgKf9MUxq3sAVxWUdfNj+rrbfE8xXi77Z4g0zr7lQQiwK5rIK+PlXG5XO2yAEEzQwyGeCcE0Ug4CKumzJ95LCGM886OP20jTe/UsYLnyvgqf9SwP/5tUmce9GReQKLfCZTPnrGPPPnLvRDLlTxPS3mtGl1ZEcDoD/BM8j0rnZFpsebVLgiIZeKoDAgWH/hj7d5Y6B6q43/HLgh6I27Oo39tTG7mrjoy3hmXs3+cVvX/h65UtdAUxU5Z7tS9a+Feg3xXFLFb68mvoe2bss5dFQ1cVOEfy8v9/qFwiqMgIJyAXAn5/4eGVEFpc2OfMZtzYfksy1lFlHf5T3vqB/jxTIsV0VIU2EKMpPiZhotAVlHlyDcFQDYbHkNAAAQAElEQVSTdlk+L6PietI1pnnYzDJLCd8b0WGYcXwl+iByMNB23dPY3HAYcUHst4xYCGfE/GkC6DtXQEFwyfHQILRwFmNGAg1iHTazrWhCxY7vBQIxoJhUcO5xTRCjquzzzLx+WBcYOIKUVMT4zgWycr5zXX0Y19dH8ENbW/Hpvdtk3ECuIOuZVAqir2UQBp1WWMb5dV2uuzukYtxsR14zEYyOo1UfwovHr0OkoKKl+ShcVcEb5m7cJfJ9b1SV1+bL5n4gWgc9nsK2nV9F0E6vaJ9oTKHCCTgucNzYhusstWb9aceWONF8M27pNfN0Ry2Z53Q2Nyv9FjGmo4FelEU7gfxxhCZfEm0q+HroXrEOCWJ3SJtW5gMxHd8T0fDt4O04q7dCt4cRST8/LQ/1nYzSCtgdL8NVSrhgdKA9UHsMlLeWUUKdcBSBd3kUprgvHHsUSqkAM1e7HkvkDaRUKIYCdLog/MSwcKLQgJ7xC1DiCQzsvFViQZjUavNy4sygCqceUMXvcPS0Lt3idgcUfzn1Xq2ycg6nKbha7S23HfDfhkJA3VCjrRpsqSwmcuMpjM1hXNfB868cxrkLwzg7MIQ/+G+P4L8/4un5+pO/+j84crxP1hYJGliOCYsHiip+VJdTdiOVCUUboYY3QReTlEj59LKwvlZ43RxpAi0avlO8CCUAEOkV103cFm9GOPs8TGcY0bFHENUzKzquvdFm2e5FZGHqGkxDXbD+08ok/nv6TXxy+Bl8bvIwcsXzgHjY9sZ34Aeats4qbzXeArR8r2wnlHkOsfx3ZuW5Vriv5nbvrWuXmB13xtc9XoamwApoq3KcJzEprwN9R99T1y393xbf07nunY4tcXz/nV1oCJhIFkt4bnhialwdO8SXG0CpHEdAK6EEBTnDwLYLGupbl/Z8uKuzHt/V3YiPXd+I//JgHD+bDONthwwUnBBeDvYg3VQEnDJef3UC335qWMTbSDbbsBImfnFXG/rauhAxMogVXYTTKs4M2QhNxHHWSSOrl0Dj6xbPHk1cm+2Rufumit+M89k8QoaGX7tlK3YmwiDptM8dPYfHzo6I0QIf39eKuriC8YKNHz33FP4pf+n3+eRJHd/4lgLznJi1i9yPnRuRbVP7ZKj+bw+JlbBIu7mhbirtzn26vBbHjmtenNhYgMAzamWEoyAVa0ZEkAY7wwmZXkopUqL/Yvs4RrafQa5hHKWAjWLOxZnvlGUeam+xJntmEvnxINy8hUDJRXKs0o/Kc14tq6A/29RkP9tbvPT2zSZFI52qQ3FSemHGlFntKwHgvFjQEv5vT3TMSl9sPxebj/PNfY/PhU1A3POG2GSaK53jl44pY7Y4zHRNFc9MfUP/LjQHg/K3taTaOF15TveG4hsak5X8/sRaVfmAMhV9XkzNzZq8DnpKFfMJE+IxjGzdpWdqwXEQcFSYuo5wtPb9TfFaQEFEtEV5bQWyTbqe9Ax0TFeGL2d8v9lq4XnrdhyzuqEYZfRc/xTatXHsSZXxtiEHd5/V8LbTFjalHPQ0vwFXzH36zG7sErv7tdqtbzZw4/frCNYpKI4rOPOYCqOkz9lPe8CAXhZ5LQcXAgXQX3c8hOq6uyNBisa5fAGnKvf0TZHGaXmq81+Ovz0Ywpuh7aI9F52RcxhJxdFmDEMPFpExLRwL7MAdgmx+VyKAZlNFUq/Dl6MPQIuasOqOI35MrEnF2vFy+jCzrFU6D0esJ/sDPdgkyOqZ6RRWdHFziF43WYE5cdnTEBM5gNPp3Kw8e2MmHKsdF41mQC3DsI8jL27aF0L78GCdPis/tflDjQEErAS+FPselEXe0MhjiM4xdr14VraNSA+aQkbN+qjOWmZzrAF9RhdsxUYkUoDWEhfzeAfmWB5Rd3ZdsUFTfvfUbkV+t3THm3PbBQNRscIIfs8Pwxa/k9ShWMBYUl9q9a9WnN6uyj7Q91RtVBAQvwe18q3GOOI9AoL7WI19q+4TXT82GwcBdeMMdfpIezpb8Cs//fCcJhS0sG1TBz75Ew8hEY+gTphYJCQrqYuFYRq69I9OFrAck0wXYYsJy3LKruEyy8JqXN0lyCwHhdFXllX+WuF1q9Ii+/3y5DD+dfis9LcijPLoGZTTp2W4XEiiePbvV3Rc9UVL1n04lUS2UEZOEGIzMTg7kZZ9+t1zB/Dhk1/DL5/9Np4Y78f5QgZxJ4C7VBU79DrcYFyPfNqp2b8R7EAy9G7Zlj38LWQGvl4z38y2N3K4vRSReL2SHgZdg/WMRaHkIJUtrcp74tDkqLwOTXYI2506mLYGuiZvJcfn7e872+rhil/+x/qGcXw4LfMiVhYxwFChEV3RYZSgIhsFugYFGRwpyzzLuc6pchE7P6hiT1DH7hMBlB0Tpzs00b6CI4fG0N83iaKh4WJXGT/U3QolW0Q+3A49kYUGBz2ThsgLBAXhro/G8NzYRdmXt4vFyPsDQFNh7mtzcHBSlm0Ti5+wWFR/bGsnvrezGUFBCNH4t0ZDaNIMJOptvF53BhfSefzNyFH85cCbOHysiG88U5b4BjMWzKKJkUIRj58aku0TFk+cHhYEvo1oXtQjFmAUR6a5rQgz4ODCoI03jxfRN1gERE801UZILAgH60uy3kTJAl2rI2dSIh048bY38X/f3odHvu91fOGjzyIVySGbdHDomexUm1T/QubVr4uFkKwRCBSy6B8oTys/NliSqbboU6nsIBQrTqWb9d506uyxBpknEHen0vx2Xx0dRbJUwDalbs7fVT8vu4VZ+F0NTDL5MvJF+5q0fTXGx21cm/tqMbgXSjbSq/SZuZj+r0SeQsaRv/Gjgpx8Pjkk/S1iw3kl6uY6CkDUls+nvldL8//G5QooinlEPuWivmQIOhK4MJGfKlPM0EwAsI3a6wMf62zAFmVdNJcDOJ/KyfJqSZHX9cTEhAz7eZfj0rznHjOAf7HeiUlHR7D1PLpvOYzYvgBC2w0EYmIO5JYQE6OpT/SDSP+3zOsRzl16ds9sNy3ytr2rDFeQ6Bkxj3jl78u4MFCo2deRQyKf62IsVBSzAiBhGshlp88booL8I7TeHEnj0OSYHPsmN1azvpl9WWp4u+vghN4pMAfaI2dlnzoCF6CqNg6Z2+CI9V1UPOOo3k+IfQCax/y9cjfOhXbD0Rw4yiHYB/4XksPDK9Y/Wu/aLnBS6wTpP6e2Z5rDwynZ1xbLmLPduKLJPKcmcjXz9MDBQWMXyjbEOB28ErgeQ24ct7pzP8/foTt4UduDk0Y7HKWIYt+XZ9U9PnIRdjmFlBJGWW2elT5zLDPDEbEOH9CbBecDFEYOIxPRUMyfhj2RQfnb4t4Zm35vlU868h5JinuK6ionj8N1xKBGFeR7b0ayrkusH3MSi6BYb1CelTZjZkH2oSTmuWOtxSWPeaX7s5T6iPcgs5Qy1yIv+G9DIaBuqNEucbBbBeH+sQ9/N3zzA9/9dlnDR3/wPaA0GWDriiNQDnTLNoxSP1R7QvrXgrXLTIB0do84OfxN6pjs8q1WM4Lp56S/ENwNW41DLw8inPqGjFsJyz84tV9MEGrV96X0Sfzk0DfxR+Ov4encAKh/1M/9wXZ8KrEPf9q4D9vELr+pqLDN5lpVTMUVQ3tQrdOd9OApbn4qnT3TEQgpBnYZ9TKyr5SWLltXH4E3xUYXtbo30AS6Jr4+bV+/NqXVMrc1xrFVbLwmSyV8cfACvpg+hmirCkVRoI8aGOvUMbKpiJwRQEtSRTCh1KpmSXFb7tNww0kN7ecSyGsaBltcqE4ZpKtyrK2MTeEwSAf66MkytrwlJuGCgIfrojWn4uFNrbKt0EQMZ4Yd6W/WFOwPzN+vg0nv3mwPCmZelgLubU3gF6/bhHcIDB4UGw8U3dLs4kh9HwpiHU/hf5g4hc+83k9eJBLSQctoo/S8ODIpXbKoftFF0cc6+IeVUjyZni6ygWe/o+DChTIUEWyMpxGqa5a/VSKIJs0Sv6lHoU3qUBQFn9r8Nnyqbh/eE+qRv7kHbz9L2XDqKbFIkb6FLTc9hPE+DyPKHSxnkBwn3yUjuHIZKJkqTBPT+h6KKjJtfLRJulrYC8tAxTpQHJI+ejZID1vXEAFumhFgBFYbAk2aYAFFp2heeqaUEj5gr9ksXbYuH4FIF1G/wPhxBeefVmDTnvYc1ZbDLsri2V5fFpv34nE2VizJnGNis95yVRiqClf36sMcf5QuntJoEYT7qCB6KVu3HiUHw/bKrBVIJ/dZczcei74DZfHf2vFvaLmvjLYfiKDn5+LY8ssJbPmhSZht4yiqJhotb16Eef7MCLD1Aw4sMV0nne50kOro4el4ZQYUOBcVqGIOMhDJgv7aQwFyphman1EE4ebf00s5k4DKLtZ0iPnda8E9cEWf2urOwMyHsantFdBVeiuwHdt0ICiuJdVHZxDdXpkL/n3kwyjEbgDE9TTMNxE/+giqdZqTPzB8GJGTTyB09hkqviijFZMi3yTKig4t0IaQKoI1PjlB7FK0pWrk1DSEbUhTQfNvwnJmphsMBc9be1EWCWVxf/5z+N1ivMrUeEX0rM8dARWEwV+Hfwh5UcaafB5a7vy0fEb2FGyB4FIPTPUrIZyT1vVwBe5a9rjU457LfhNOdgia+H5FDxt+VhjjKhQxADostVTneNfAnRCbASpQCqN8z/tk3jwR8MIX1EW8cFf6Q+cv5LptpHaVURL9WOn6uT5GYKMhcGW+qRsNRR7vFUXA0eIoiAkENaIXPDKH/GvBTB3u53oT1fvVMmjjwFUtZGPvQKrhYZA/kHkJVvrZZQ9JESS3aqehuGVJIIYVAxnR5pmit2DxKx62c3g0c1IGifj9SHQnfrfhbfhM0z34eGw3iAjSKqRQWW8REwRL5p3PItJ9MuGNwywcR2z482tqY2S+sV2JtE2Gt9g4UPDItyvRBtc5NwL0HaDFPH1H/MX9fqtDFng80yfd+awf3uwt1r5ScvDPqQF8buIQ9J0KjvTYeEzvwsVWBV39IQTrxOx6vopqpL1eGEHa8X4r/OREjwpL1HXzEQNmJoThdhclsdAtGipGmmx8oKsF+bE8Dv+fLBqe1HEu0IOQNYnMRAGbSgG8v8cjvA8MZvDkwIhf7bwu6RulDHsSEXKmTH3AwPsEib85FpZxqeYkCprob87A9xs7MDoGPN/yFnD9IN5+ryPzRLNe3pPpLGiRdCKVBRnN1rCFVrUy1yVr506vXCYDmOWyINSBeDiLQdX73tDmYF8xjTcmkzALGnQL0EIWdgUS+HB0h/wty+xOYTKcQ37cRbKKRL/Uymxf30teP606b1pkT8ZQLAJj45fyFpIFGbDFIqer05V+34q1KdJbKgRAKdEWLywjK5Z/AOB1Rn0lhh1GgBFgBBiBWgj4QiM95vTnUK28HLc4BMJi/rDru1VoJjAhSPe+r6oQj9OahR0NcIsKGuyAfA4nC+JZL3LmbQdxW4cqnnSuLiLm+ZTiriiroE7kgKO/egAAEABJREFU97M1aZb0+tdXBi7TejAIfN28B2fNRiiBSSSOfg7h/qdgTJ6DaikIxYbgaGUk9Rhss3tRrRFGPe91pkj3wecVnPh7FUOvKHKjYvhVBUExF9OjLvoVb/Og3jRm1d1RIeHPZwvwx3yl7ule0fy4JuaEuinmRgVcr/YhHB9DSdPwVqAXN4jrXt3B9wRVJFRBVJdM/FtsNuluXXwVsSP/iPpDf4H4xS8iVHockdRXPCK4uqI5/ERWu66CM3onuo3AHLmAgVwFv4AYwJy5gLagd+8QljOz9QrC/aS+CW9Zm/BqaAdOa914MDh7HjazHGFA5b5hvQ1QS6g7+78QGvwG4sf/Gg2HP43YwCNwxBhO6Fuw5ANTK41NVgQHlcJZuK3tgFtAdvjvYQtIjEkFwT7xZRN5gxW32OjNg438AByUMOkGEdx1NxAQN7rIdz5TEDbQWcFDBlbYyoo1jd+PFa6aq2MENhwC6oYb8WUMeNvmDhz+1ufhq5a5jKq46BIRKAV6ZQkrewAk5a4IgllGrHLLJ/Kom0RwJwpvkRe50F64iiUmgHHkwuIhKmJD6eeglRcmYWn84YnHEB19BPHhz6L+4u8jMfgZ1A3/NxH3BVET4EuQDNme1IWMFJZPtktp9vpb8e5QN3r0qEi59NFtrw826cK7FD2vj95CmGj4KIik15wJxEc/DzN7cN4yGzVxb8CT1nqzODYLgqzYJJkVWRVxpJjE5yYP4ZPDz+CvJ49UpbB3sQgcqeBOm0t+GfI3qkEpQd03x5shfl4ina9rS8BWgPFiCx4dV/GZHeM4IIjiHHToYyG0jKqICOLdL7MY9+ncefzB+Cv4m/TRWdm33KsJ8lnBPS/UI2SZOH1LFmdvSuPOpgaQ1M/hf9ZARC/EX3qiHeGmSYjdN5w+kcF9Ik+wOQcXwBMDowuS7rSYJkJcZEeDpWO+e/Jbdh8MsT7aNdaD/Nc3Y8/FbTL8dNsh5KwcWsStbpZ1tGbrqDo8eWEEB0l6XnSmMV2H9kYVF8RvFI3db4ck3nu3uWKBCJi2WOArLgKmjZOKt9CgDasviU3DSDogF/JWXJF1V1u/0HIjBjsmZNSF172FiwzMYdHzpO8lXaZuf0CTWBlFB4oNZFKX6s+Oi8GKXGKvAPUJ4an6BGJVATG+SGz69Kp6o4c2B6pys5cRWHUIcIcYgWuFAD2Lqe2MmA/1iPlpSPF+dymOzeUj0LBVweYPONAjEJv1AElv1yLdS6YriEYXHY4lGz0nCGPyjArinSTcTUE2O5Z42FHkHIYkZQMiX0vZRLIiId+khWTujFOW7kpYJKm8MxjH/w0+gCwMGIF+hCa/iviJL6D+wF8gNPqcfCvwLbMXe8xLz/SF2vZJ9/Z7HIRaIYn2EUG0E/GevQjEBMlriL36oaBHgHaEA7Oq7Ax5+J3IpKUgFN3fV/KebtAtvBnYBkXMZG7q/jo0s4SRQD361E7cYE6fl5D09YPe1Apfypk4UjeddI8N/yMs5Vlo0T4gLEhxXYGiZ8X6zhPcmjXYGRFm5gTENApHja3o9KZYM3J4wWxFwr3eNLyIOWxfCMSfo1ZnI259m+jfH8R+Hn8U/imEFAVEwlfnqeUnDN4jCv9T+EGkXEPM4s8hOvF/YLkvQTcGxHjzSBkhvBrcA8pbq46F4pqtJoxrcbhiUqm7STiN7XCdSWTqvLffQ/0awqd0EPlOm1iFFkJNzIHHDwrCXcExYxs6Nm2baiYnNr0oYGnTryfFsWEEGIHVhwB/U1ffNeEe1UCgaPXCVuNS/UqdIJmJYJZE89BnEBv934JbEhOBGuWuZFR44p8RG/m8VAdj5o/X7INP5FE/bjVjIAlw8hfFg5tcMvnwXmQjd5EXkbFH5YaCDNSwiGwnoj2QOygl5TXbI5VISp6MLgh7Q+ygU7tU/HQxRY40RGiRChkKfDC8lZyaRistnXCnihwxmUg1/BAKwd1QnDwik4/Bugypfaqzyqwbr39tiNglQ5Luf5M6il8b/Y5U9fOxoW9K/x+PvybVZhAZSSQ7xX86+dKUGqCv5c4K//l1g8vVGkh/OS2b2mVOlzL230Z5IisWFjLH3NZA8IJMDIsFil0OIWPZaBtysetsAu12q1QnY9UggmWhGhZ9N7+UPiVTXskPS7faartRk1LuwZyO20cbMOmIzToE8Z6ORvQ/b4NUoYg1lizSftJFpsUALYPPn/HGuiVhIN04JuMWIt3PZb3f0nyohJ8Z+9bUPUmbPH8s7skviHv1dHlSEvFHxAZQwASuG+kBSYPfndmKH2ztRg4lfHrsZcQ2ZWWfrnMapHt8IoeXRyfgis7F0hG0CkL+v42/gb+YOCzboe8AfRfMmwZx5wcyCNMCXWTWQxfwnBMA/RFxfaQ0hvpRwRaIiEjr7GnMnmADCnemRDsuLrxmS0l3kXXOz8SJJMpi2HU9Kpp2qPCl042CjcEhRZZTxCZvuQhJQDiagoS3hyDTyIq2XeoHXQvNEoOkhIo5UPCuq//9r0SzwwgwAowAIzAHAtfNeE7PkY2jl4gAvTSwqUp6+/SXVYzOUJkyMeE9w+o1Xdbuq/0g1TIBR4MqCE0iB2XiHJZjuBDZELcNUDnK1qhZ5MCX9paBFbBIUvlI8A58I3I7LgYbgYgKNXYBevAkNPTDFY/yYUFEL5U01UygbjtAePW8x50i3jUoCMcARXXR74gJBIBaEseWIEVDwsBVoRVN+HNNkf2KfG4UGwqHgrtE7xTEWy4IF3guuBdERgteeVabtFlBalWyYq71mYyJKdLd0EAkuxOKoRC/HpmG7xLuXlneSr4s3YUsLX9OzJmAfrNbkN/qnNkHKps5DQFjzjyU0BHy5oG1JNwpncZehgpHUXGvRTGLM2+3VKh6HH8b/QBSWgTF8HbkEnch1foDeLH9k/hU3a8iFdiOWvhhEX+duoo+vUNs+gBG+iTcpjZZysmeR2aLLf3WeVW6pbgD/3ulnX5expVDbdPa9r9LJAAkM6xvi0fHCKx5BLxv95ofBg9gIyCQi92Pst4CWxC7RC7TmBUxydFLFxDIHaLgVTNEJAdyb8oNAFIHExl/VEqZEwFPaUTO+J15ONqLHiOG97kXJRFdMrpB5LSfTm4+cjconqTDaUMhnPoGquugPFbmACiN8tDmQyrxw5ho/FGMtf4Kks2fRCZyP+jPzB8ESYGS/3B+jBxpHs/0S5ek25u0oPTXsvSil68kJki10ueLI6n9TPy98DcQAtlD82XfsGn0tgMNngjGPxp/DY8LkrevIllNUl3kf7kwJOM/N3lYEOsDoHiS9vpgeCvIUHmfpCU/m8Uh4L9ZMFOHpv82iq/ffa7aiBw/VhpEQr+ABxQD/6Euhl3uOew8WUQ86SA+4sqi0SVIuNN3k9TcUEG6znT9yV9tSMqdws2ny/iZzW34qU2tQErB6afLFI3tD+jSbRwAjjVtQjgwiVK+hHN9OdwaaEYhlIbdOCHzEOkuJc1laLp1MuWR5ONWcSqB+kT9o3uSNiS+OHlM3JMX5D25J1SPgKMjHAYeeKeDH2/YIduj/H8XeE3WkRk24eu+z9qOPCw1lgthMDKGb+YGQNfEFrDRuOm78Efjr+FTyWehChZcUYBzWh7PlLx+vVUcl3U2jESkG44VpDvT+kjXNhzfMShJ91NPOzOTp4WPf1sszkUMke3CQWKTSg5Con1Sk0OBcg6gtwhcQbYb4ueztVV0mBIqRgm78GOCdV75SpJ0jhTHpLuLCSSJA1uMwNpFgHt+JRGonp92697v/JVsb6PWTaQ7qUyJ97pScptUphz9giol3ol8Tw14yGyKB6TnQkXtR962YTkKDFUVaxn/qSezzLJIwl08MgXhrot5ggp6g86/vjSvoPnUrELLjCAinaS1v2D9IH4p/Mv46+B70R/agmK8HulQGINWI0rWzmXW7hULt7sg4n3bDzrovAEgDFMBG6MVVYBzEaBtQUtWoJV19Ogx6b9SFulxP2puEaSzaEG14agKDpvbBeEtwnN8PhxWMZN0zzS/F6nG78ZEy8cw3vLTyMQfRDa2X9ZgFt5cUK2MYhdA68myIL/7jS1o0GTRmhbdU5QwF36URsbXh08qCuleorhqU/32ApHo1Wnz+YlIp3vnG9Y9+KWG/4w/iP0cfjvwMH4P+/Hnpa0YV+OYT0J/vroprVOM/WygF64CGPnjUo87xaunDiPfYSPbbVNQmny7N19Vz52CYqUBMQm2wzvg/5FqRvLXm/NvTlAeNowAI7A6EFBXRze4F4zAwggUre2YbPwoJpo+ASKYiWgmPehU0pfKJv9SjFE4Db3QP4vcnq8OUpVC6l8oD7VP5DKR5bQJoJcHQWnR0b8DSaNTnjusVvxe4iZEc69SELmKNLsMVFmZugdRCO6RMUTi1w1/TkqIUz1EwIdSX5NphfA+TDR/AqVAF2y9WcaRRWpdyCXp9xYUyYuhskdS0aT2yWy/jHt3qEe6tSwi+TV7AjSW6rpr5Z0vjjYQbDFBoc0BrexJzM+Xf6Ol3W21ySGHFQNEvpMufTqw9ost78JfNb9d6tX/eOx6UDxtkJD/TxrvkfEPRbaCTKMaBJGadAguZG1sLYQAfQ+I1KV8M3VokuSxj+mRYpKy1DREjlPCLREDH9vRjXc11OPjm7ehZIoJ82QeytAEirqDdKQAksb2DZWpZahP/neTNlQoT6322ypS7qNnI6hPR9CZiOLwV8pSMrvrdg2UHmlRYBRcZJLtSDTQ987B+f4saGxU71hwHO/qTJAXTw3WHuOJVA62WBSUjJz4/cjhzxrvlfck3X+/UHcTwuKeJQnzb+bOyXoeauzCnW9zBNnuIhKG/Pt4/HpILAXprzbkpPR742SdTHPF+jyeiiEhunHEHcakWwC9An271YxP1e0DbSbRdyJuhxEoKTC1AsLBqIzfYzYgqGqy7neo3bK+QL0l3ZkWLep77vbe8Bl6q4zc+MwcXjg9kJt6Q6BdYEyx0cpmSSBfRrJSzq6QDY5Y/CS8oVDWKZNoVOFqXlB00/NU2f413R/0vvtVSexlBBgBRoARqIEAb1DWAGUFo0h6u2O/i67vcqXkNoWzF4HB5xWMDQOqeN7FSYeaaJM2y4nkJOnaOseArgILqZQRxUCHrxqCnG8pB+Q5LhTnz3WG7TwFV8yQtDapB9FUC08ad+KXrZ/F75gP4dvmdXgxcAuazZUhu4lob2gHxOIRw2YR9EcEqKUJUCgww/TGgnLz3yha8OdjM7KsWLDXENdP70GGJANEraN6HKf1HvTqigjN/ZlJuh8N3Y9c7O2gteYbRRd/k3HwC9kuXFDjULQCzMzpuSsTKTrpH1dLmNSiAvcakyaRhz50T9G9FRLYzYUf5fMNCW+Q338bk/y+aRDwvzeo4uGQOk0i3E+fz6V7hw5eTTou3ii5OFH2DEn+U7nrjfnxozzzmYy1VSarYu7sNHrzQHXkgozL9QjSfZMNIttLdfSC5uIAABAASURBVBXCfewc3JAr5uNiUKaXnzITXuQGBV7kstngCPDw1wQC4lu8JvrJnWQEaiJgay0yXi1PSHcpFhHn0eQ/IJZ8BKSiJjH0GU9FzMRjkoSvVZckv9PfkEnZ6HchH7oVRC6nGh7GeNPHMZl4GEQ0E/EeH/38VD2BzMsgaXwi5suBbll+pkVS7yRBQHVQPspP5H3d8GdBBDyR4NRmJupJstcq7xP2W+ykJMaGxGQ265RAJCFJkxCR5U90Z5ansFYcIkeOQXouw/LHaRT7L6OW1VtUcYtiU8Uj9Jbay/tCHfhc09vxl4Jc/1RFl74/CQ8JQpOu0f5gB94d6sbHY7tBfiIQq9v5hcRNMkhkLZG6MsDWvAjQYZuUgb4HhDP5q80+QfpS+On8eXJqGp84fSjsTZ4pE+nk3lHvLeRUQRIPh7L4fbyEnx95ZsrMtTFS/d2k6031HalIQ5O/2nTd5jG6gweSU6pkrDoFW/Z70u2JTd4jve20i7G2CAS3jfNn0qCx0pipLj1cJgckIeRLysiIijWQzSOrKUiqSaTdEv7L+Csyhe4/On9gr9WEjFvGd3IXQeQ73bfbtgCRMLUms8r2rgskZOBEW590W3MxtBo6LDqELRVHm/jp/tv0cdBfTDVB0vPDTha0mUTfiZ83boUqEi2jiO2xW/CecDdOlSZFDPAJ8Z1IX/QWJdEaKmVkJmHta9uK8fYRlHMuxvvEhoiIm/kZOerVQxsWetBL9eukzYtiERgTpPvEkCkTywEVDfXSO8sKNysSc7om1YlHCkmBWQm0CUHXojqN/YwAI8AIrCcELncsTbolq6DfS3ruyABbVxSBaI87JbndXtFXDtOFG3ChOkCn4V2TsUIJpG/bErvLOsTzTl+4W0TKE9druSqytvcc9p+DI3Zu4QqWmONBQbj+Vp2KhwTpSmpU3tK24X9aP4hHA+/DDSbNKrAif3rGI2D7FW8MdJ7OXBW3hyw5N4iWgqD5/Vz5Vip+m7guB4PbUBbAnwh2Q1Mt9C6CMK4m3f+/SVeS7L+SdPBXaQcvFFxkXRcvmjeDrmIgNf8bzEZFncxRY8u8bdM9ReNOLFJieyG1Mu8OKrjT8q4N1bsU8++iKj4cVvBzUW3K/Epcw+8nNNxsLq9Ov/2g1Y6yIi4MktD0MpzGdqCQA0myU55cl43MVm9+TmFz6A04GjCu1SFixClKmnM5b5Oq1nkBMgNbjAAjsOoQWLknz6obGndoIyBQNpvkMI3S0kldXw2Nr6JGIfU05UGQhDiR8NHRRwShOiHrJ4ukvymO8pGUOelep3jfuIoFIpknmz4KnzCnekgVjK9aZS7pdr8OcqkOIvB94p3ibDUOOpR0ZpuUVm2K1h4ZDKafQ7celf5DhTEQKUuBapKQwjPN1IGpc2wKzMw/X7gU6JXJRs4j1WRgHVikrz+afFRs0vwx6ob/fNo9spThRVRjKdln5aVJ+/5guyTy/MNwZ2XiCEJgyrxZGpN+X+WSDFRZD4S8zbAD+WEpnV6VJL1EnJJ0d1hsihDJLiMrVku9gbpcAIGyBuhAOKaiUQ1KQ1noGs0k3bOC0K7+bvrSfEeKSSoyyzTv1KBZwPlDkWmqZHyiuGmnKss0nnfR19CGRGgMpXwZQxfyIGKcEk+5Y7itMUZePHlhRLq+dSKVFQtiBzlLLKrdPMLiHqU3Av4o+bqfBaR6Z9IpIoMy6P4LCSymEqs8lI+C5+KD5KD/nIKP93Tguwrd0B0VF8KjEmNd0OrvCXm4fyl9SizoSjJ/erIIRQEao+Mo6U14VKT5m4aEfb6iX9aKiUyyxGyrSQsicZMATCSdesoW9vRPWayT+14SF0tE+9gJL+hNAcLZLQZgOTlkUgrE3iUlQXQdLc2XNhdkZMUK1qlwoSEgNkFQ9XegOCRD/oaODLDFCDACjAAjMCcC/qbtnBk4YcUR0EygrqKvfMdHHAS6HdlGhOY1wkeE+UC2gJgI66og3DURucCHJNx18TBvKZnIVQ7H9Odgw/6DdYE6lpocVID7LAWfFPOwnxMk6gNBFe8XBDzFL7WuufJradGISOxTPQK03jREqPbH1rx5jVGaO0/tksuLJXL9hdBenIs04qnwnSB1MYutqZp090n2bbqCDwkimiTAXwvshu0AgcyrILUxc9Vr5I7BgYITxlZ0aHPlAnwCORFYHDa+WpmDyfTclS4zRdz+AisVvaIrviF1MCHvUi+zVq9YlxFEv94uMTGzx+BW9LgrFSl3L1fFFkS8XuiDo6g4GuhFp8C/kjL1HbLUeUD1M7PLCGxsBFbN6L3V+arpDneEEVgaApLk1ltkoaWoLiE1MkTSu6qFycaPglTUjDd9Qkqok4oYiqd0klL3dbKHxx8DqUgpi/aykTtlm7Us6hMR5tnIXTKZVMH45YhMl5GLsCgv1TPe/FOYaP44SAJ+oWL06h+R89TeNtcj7f7H2BFJypKEKxFV89VhFLyNCyK45su3mLSy0Syz+SS+DKxRS7UnEJ54DPGhzyIy/iiMwqVNBLkJI8jJazE0Ur8RFoTn07kBHCh4pN616MdaadMnsn3yeWa/iaAlEpmIXTr0c2a6T5xSnplpiU0qImUTjdkgdhhRfKbpnilD14nyE+lOh+CSn8xMEpnabxQkPbVPRDflqTZWHdC8U5dRZbHGaxIEvK93nCITPSp0C4iPuDhk16EYHIPjlqVametMTyybdNTva/CkZY5PCMYZl/78g6jSVgFpsRnQrIXkhgFtMtBhphB/PUYEaaeEomuD0kVUzQ9hTGPJBXMo1KdknpFRCxOTIek/HbsIauPdr25D/P9GEMyaUkUSYUIZSiUHcF2YRhn/WEiDdLtTPG0a5pIuaPzBaAH+ZgOl1TI33BJGKpJHLunItwLs/KWV08DrtqyHDksl7KrLR1u86ZFRdEAHp+bHXdEd0a6hoqW1NuHesteBuyWD5h1OdVU4U/LGv9f0fhOnJXKAEWAEGAFGYAqBLi0q/dcb3jNLBtaNtbYGQtLp1OMu2oEWHpojkL5tiyTcBRloW7WfhSLr1MeOuFAF4d5qWyB1NJQQVLx5zMgVkHCn+qtNr6HgfUEF7xAEfHX85fiVMqBXJNxHzIKsaj6J40MYgqu6yIsNB18liCx0haxtYswvGHvxX8I/i9f03dhjLK0hIt0/EFJBJPtv1Wly44JUrtxnqTihb0JaC0LRszDSp+as2MycFPNP4LTRjWrCeGYBfxOmfp4Ni+oyvoS7f6ZAddpq9nfqwCljs3w7wMgKbLZcL7urnj8p3WpLHb4A1cyIKAVZayvE7Sv83sd/I6A+sMSL6hVnmxFgBK4BAuo1aJObZARWFAFX86Q1taInSbmYykkCnPLlQntBBDn5idAmkptUxJB6mEJ4n1QD46l1+RxMQbISmZ1OfGCqDJWby1A96diDYpJlySzF0G7pLtVyVBrfJZJoofK+FH1v6YzMOkRinMJHRJVw5v2oZY+0LZuexOm8mRdIlHiKzQnFyQuC+uwCuVdvMr3ZQBsv9OYDbWTIe0BcV9qgIT/FhdLfviYDIILWl8r+35NHr0kf1lKj/WWP+CQyeK5+EzlORPFM/fgkjU4bG1SuFnEabfG+o4qiINo2XfKE1KRQvVTWOwT3vJTu9knkj8e9iTel+1J9fSVPfQrFVZst+73HNq1/r/tuMYOvThT+2GYFSSuPzMBZnGucgKCJcfTcOIgoD4vNGRpXPKQgYRhIlkp4ceTSWzyHxtMoagrG1EnoUHFvsA2k3oXKUV9JQv/l/BAaxUZlRNR1egFVXv5Yzrd7KnqOHFWREWsI0wS+ppyCWdKwbTiBfMHFD43uFL2HJNZJRZKTLkFAiYyVwj8UvOtGZxnQpmF6yJV5tZD32yoDc1j0Hdlxt/dmw/F/LeObf5DHc39axBv/UMLZF21ZqnrTQkYIK9HjXc9A1sGoKJ6ZDIhYIFSniE0A6Z1ltW8x8a4PxxGJGlNpdN/QhgVhOPPcgKlM7GEEGAFGgBGQCDwY7sEfN96Nu4PtMszWtUPAqTxiG4vioS26MZDLy7fgLFeFrgKu7j2LMc8fkfKGqkqpeCLrKasv4d5XmMSr/Ytfu1HZq21UsUlvndcQGFShCZKdwmrBmx/YYlpwtuAR7p2Vg1FR44823UuGyCcmNbV0j9cocllRnlS2glGtHiHRZmeVhPRiK75fbFAQyd4grrNfptcAQmLyecjcDkdEBlKHhT37o4rr6rqTsMWmDMz2aYTxzNxLJZCJaKb5a9Z2QG9bzKzvaoTPJVP4pReO4Nnz098Sna/toLhlMsGtMota7MeUHvfzp2VctaWefhNKXOzqiDKm1VmdhLzjzVuDetWFmZaDA4wAI7DaEFiV39bVBhL3Z3UjUKqoPzHs4UV1VC/0g6TXXdVCIXxrzTJEwpOudF+tC5HGlJF0rDuaJx1K4YVMMbQH4w0/iUz07SB97wvlX4l02jSget7mDCLhehKsi5FuV9w8NFsQdAKXpYyR2prL2JVrYxYvSYTPlXe1xvv69+nNhlTihzHR/AnQdSWM6A0E6jfp2KczAch/tQ2RuY1qUEoHP5H13lC42n1YC+2RxHjGLYGwCgmyeK4+E0H7iZi3OUYS6UT+Ul7S/07l5/ouWYKIJelyyhus8RNB16madP/j8dcoq1TLQm3KgLB2GQlhAwcKtX/PqJ2b/52LWz6CWdLdRIj/bddBZIwS9vS1YLTVkxAsJcv4SvIM/I2GI8UxvLujQbbz4sglYn8gm8eEoaKoJhFVTFBfqG+/Xu/9ThIef5M6hrBqIKaaoA0IwmfkwjjskrcIkJVWrJlqZZJJLyGZGJMbDo2pECy7BNMuYuJkGT4+9HZBRhDulDsTLJIDItv3Bzukv5z3FvmRVlWGF7Lab21FZvsJGJEkNDMHklYffsuRLl0z/7DU6noSm7269aIjD051BNFA6Z09Xtvkn8tIkr2YBH0ffXU8pOJrvvturro4nhFgBBiBjYbAfG9PbTQsruV47YD3vGvQDNmN85mCdCNiS5487uw9f4qeZuywC1UQhy3lAHwJd/9ZeO6Cgf89NI7XhsdlmdVmqYJsj71hIHxKQ+SYjrpXDCReMqQL8Veuc6bGRESwiKr5IWEPJ1CGgAEnU9maeVY6clvl2rRrmJfwXmq72w3g24F9cBwFZv6tmsXN7Ekp7HHRaEK3adXM40f698RSCGT/bYKrsXnh97PafSmVg62p+NKFUfgbBtXpc/kDgjx3oEItD0INaHCiYr5fyEEZGZhWRJ88C4SBklirqGbbtLQTkzkZ3hYJSZctRoARWP0IqKu/i9xDRmB+BGytRWZQFynhXku6XVZQwyoLwphIVZJUT9U/LHW018g2b5SrhQSxf9u8eVYykYhgOjw1Ikixzc6YrHox0u1GQTzgRe6ytnJqD4pmr6gRWOy1kZlXkUWbEMHsAdmjbPR+kMoeGahYjth88VUH0X1FqmcqSVdEu81/AAAQAElEQVTV+ZHYDtneo+mTksiUAbamIXBEEKAU4Utdk38uQ1LU1eQvEahfypyU2W+tHKwqAzOsRI9HOoeayjNSvGA16U4bAGExmf5I1Lt2Xg6gx4hJL0lESU8Nq77HQqwtMC3lk8PPgAjxsaYUwiUDN52qh2HchPrwOFTHxfNnh6buDSLzfT2Y/uGpA9kCSGJowrRRdIuIqDr8sdJ5AUR4U4O06ZBQA7jHaqcgvn1xEF97YhKP/dMgMumyjPMtIvhpg6NarQylnayok+kai8kFKMVlUwXcdKFFboiQFP7x8XG4rovTZnQa2U55UxddchBv9hb/MjCPVSd+gy++F/jch97AuU8cw10/4+KGHzTQ+y4de75fRS21NNFmOT2CWXDhlgsYOee1GW1SMNcfEewfG/omflKYTydfwhdSb4Gk2yn/vUEPL/KzYQQYAUaAEWAEVjsCRJZTH1vKnoT7+VwBcdsQlKELku6mtMUYJerlMjKa9NAbd1YqBjPvkbEHJjIyfjVZaoVs18Q0g8ZabHBQDruo3mQYtESi6DSpQ7E0b84ggtM+JJRA86ay4eU9J+Za0zJcocBey5ur3FtxV6qZ200VJ/XNyIk5ou4MwEjPFvQxCn2wBeX+ltGLDs2bO83VfrJQkknzvSEgM1RZ1fPXquir5h0Q3wO/sT976+yiSfdYoBmTWlRg40AvnIXbuUVWowxXEe6CgDcm30JZUTFoNqOrasOC1BHRBkVI3GvzbfDIStliBBiBVYNA7afDquked2Q2AhwzE4Gy2SSjFqMrnAjRhaTbZWUzLJJoLpndM2JXb7Bo7ZGd+yiG8KG6XhCBKCPmsWjHnZIds4WcFTE+QU2YE3m9IpVexUqM3HEoTh4lo3vOzRZSHUTppFqGSPer2L2ppvaKSdx7Qj1SVz9JB08lsGcKgb6yJ8ndo8em4ubzEDlOZDGRv1+YPCqJUyLI9wfb5izWfZeOzfepaN3lLU5rZaR6fTL/faFNCAnSvTofkdt+u31lT5VKdXotPx3mSv2k/v1mz15sFWSx7qoojzTAqM9AE+uu5oshHC9NCDLdAW0+0GS9+vDU46ksbJFvUp9EGQ5ut1qn9Y2ky/1+k9/H4bVjnth6RpDtr7wwPqt7/gbHsdYzU2mv1p+S/p6xqHRbo4PQnDJee2UCD0W2yLhQVnRG+N7b3glqT3inPvlKM4E6L89Uwjwev+9PFMaRirsgNTLdd2io32zULEUkfKRFgV0OgPS4l/LeNW1urZldRj6e6ZPfQboO9CYEfSd/oe4mkHqEe5hwlxixxQgwAowAI7A2EHAMjyxtdLznH/XaEnMLS9ME8eylUdxCRjW8HLGyLj35IhAajwlKVgZxSsw/PN/qsLWMgrpXDWgFgIj2iVuKSF1XxsQtJYy9rSjN6N1FHA6nZYfbQwGcKU3iI4P/BjrvhoQ0ZIKwjhQ9wacG08PQJ5hF0rRPuViG48yH6bTsCwZuMRT8ab2Gm8zFz5MWrFRkILUyJS2Og8Z2ef0CyZdF7KWPlh1GYPwAHFdBn96Bbcb8VFOy6BHuNCe9VMv8vt5oSGbw37iQgatoDWTzsrWE4almfPLC4lTLdOgKjpjbBDaAmT0Fp2OzrEc79aZ0yVKFX4s6Etuz5lZUq/Q5V2m3fRHqFKkuNowAI7A6EJj/V3B19JF7wQjMi4CrWCB1H4ogRrWKDvK5CvjSysXgHlC5ufKt9Xgium01jl7xDf+BgDfJW2hMRmlIZlmJA1NlRRWLyGjy+hL05F8rxifQ51I95I8jU/cgCG/S825mD/rRV9X9oCAqG9WgVC1DE/6r2vgaaIwOC6Vu7g00kbMoQ/rLKePTeU/6pFuPTiOhKa3a1HWa2LLfAFTxxatOmOF/KLJVkrDfE/Em2zOSscmIyqi59LjLxCrLl74nff5E2PsHgLaddjBaHwfEGq5+0oSpqBgoZ5B0CpJ0v7e5XtZCh6eeEAvetFgYZdRJRBRDEO4tMq3aon5/pnE/PhTtlSR4qx1Gy9kI3FIOEW1cHs566LUJVP/ttzpkMNPiLTovhpNIB7JSf3t7KizT7tl8FJaZQyZVxJahetwX7ERArMEURUF7eDbDnRp0ZLlo5WBTGVjAatKCos+elPmjlbcVFiiCYJ0qsxj5MlRbgCj6E0woMm6m5W96EP5/2fx20L3z4egO0GbYulWPMBMEDjMCjAAjwAisGwR8CfdwWUNI856HcVuHpiqolvReaMBKxMthCCKbfI+cuQhVEPfFYA4lowh6u47mIJR2rU3goor4GwaUMpDvcCTRPnOsMiymAj55Xm8agmg/BkdMth7P9uFXR54HzQloLP3lNDl4R703p6K3BEhSWUZWLAr//qFT+I3XT4DO0qlEX7YjunjZddSqYI8JfMfah7KYFgVyb01lIbK97vTnoCojmNDD6A/0opownspY8dC46drTvWVp3v1VSZrXoQ0OKlMLy3kLrkDiWKEk71e65j+zswtEupNqxicHFibdCYsRS2xUiAujZ47CbfLmpBi+MNUzdUT4Y3ICjHRw+1Q8eejQYnLbgwFy2DACjMAaQWDxv25rZEDczY2JgH9wqlaeTvZUo6G4eZi5gzIqF9or3fVs5SJ3yeGp6Teku5CllyoqZVZYkr8U7JVNG4Xj0l0rll7oB0mtE5FetLwxzNV3R4vDxzuc/gZiI59HeOIxWNmXYeaPC7Ju7vtyrjqXGk+S0kTyUTma8D+dO09eNgIBeqXXlwAn4lVELepDeX3JaCqwGNVMlG8xZj4S1t8UINUvC9VFizpSWxIWJPl7wt0ye3xLULpN4hYYbI1DVUtIjAcQzJoIqjoGy1l8duIQaNHSISbuyVJJLvLSuoqSOiH1s/t9kBVVWY2aBUX8U9T9wz0IFl1EQyPY1HQIil3GoVcncK4vB5LwIuOrlZnQcui4exSZXeeQRQnd6RiCJSBipRDp3I3dTcehuSW8eTiFHwjsgFV2YGplaIEYNTXN5MbFKk/E6EFL2Iv/+NeSNl/onqhVktTC/EPa+62qqxycGkx7BH9Q7F3UKkNx/qbHTGl8SmPDCDACjAAjwAisRQRInQr1u9vx5hWWIMp1sfnsWN5zmNIWMq4nQ4BATsNTF5Mgct3WbaQbxlAXVmTxg8m0dK+VpZQB67yGyHEd5M9228hsEZHzdIjUe1ByQGDhz8N69Chovvnp8ZdA84k3KxLuPVoUNN+C+PMllYVXfp4aHBNlXEnk/o8T50GGyGiZuAqtGwwFpC6mIOadhnsBxuQ5mMmTILJdNwaQNuP477EPIWZ6mwxzDYHIa0qzNI2cJZm2yvzv+GRWlrta1om01962WBAklf/BnmbQ3xMDoxhYhLqgcqCDskMtDECJRuBEE1BTySk97trpw1BiDmxFgxnsQvXfQM6TrPd12FensZ8RYARWLwLq6u0a94wRWDwCJcN74BkV0rhWSf/wS5K4JoK0Vp71FEf652k8uiDciQC20s+CNh0obqYhVTv0hoCrWlhpbEqmRwISgT2z3dUcDqafk90rRG6V7kIWqR0i3fmEo14eFAuLgwhNfh2R8UdRN/xZXA3JdyKIPxLdKbv6pfSpKZ3dMmIDW3S4Jw2fyF9yl2JIqpv0le806rEY1UxLqXuuvIvR4+6XPVAckt79wfYp6ftEj4pQrIhQykVXvgmJ8BhcOPhYYTeuF+PIoIzDpTHQpsz+loQsT9awVYajFLDJiIHuJYqbzwTO69AdB21Nr6E5NojNDUdgOza+/vwF/Er/81NSXr5amROJ83g1dkZWuWW8DnBdNMXSKHS+DT1NJQSNLC4MZJG+MC7zBNQSXD0g/b6VS7qS7g9GCyC1L378YlwaE6l6ocWw/5p3dTk6dJb0rn8lc1puGETbPCJATRsym255YRmosqo3PXxVO1XJ7N2YCPCoGQFGgBFY8wj4xHrQ9UjRgKNBFY9CKeW9yNEplb3xgKPgn855c5bGFvF8V23Ewq6sZaHDRJWSzLYsS8srMEdVSaTPrEAVacE+DfFXTHk4KqUT2Z6rnMlD4bmMf4DlSYzKLHutJvxuw9tA6uQoguYTfeUUedFjRpAIeHMJX1KZEohYf3owSV6Qmj+S3CYp999+46QUhJAJq8zqNRRMqDGc1LrEnNFGZOBxxM9+HkS224E6/FPsh/GGsRuUb76ujxZKMpmEP6RnCVZvzNsAos2bJRS77Ky+Gpv2CuG/uy6Cd7c3yHr/+/HzC+pzN6xNGBbzcFcrwBRzTTR5aiqlHvfJJPTiCFyBb0qLIWY0yXp9y7/fOitt+/HsMgKMwOpGQF3d3ePeMQKLQ8A2emRGdY6DU4loDmYPyDy+JLIMrGOLiPNS4p1wNQtEAIfSzwni93MIp74BIr+JZPeHrxe9Q2/KRpcftWKurTfDVuPQnImrIum9Eh0nfIxSP1zVQiG4e9FVZuIPYrzpE5hMPIxs7B0ohPehZHgbDoHcoUXXczkZ3x3qlqoziFRkfe4ALXZ8FSLvDnq/E0vF9xPx3fiN+sVtvCy17lr5SUKqUQ2CriH1v1YeiiMJcn8zgdTJUJxv4hUp913JKOpabcFtuygOuvhEbDdaRN2DdhZ/OXkYNySi8lXxlK4gr0xCh4p3BRf+HRi6WMDIxTx0rYjReBqfjyeQaHgR9aFTKGVcbP92M5KFIkjK61BhDBm3jGdzF3Dezsg2fP3tDQ2m7HJs841oDo1Cc0t4+fkxSarXR4pwtYBM9630kLc4j7V6CzU/frEubaBQXtqQItc3RLb79wnF9ZXSoI0LrzWKASKttadMT+T6ZAa6BiHFkH62GAFGgBFgBBiBtY6AHfGegj2OJYdiOQoMRYWjefEycgGrHHFgqCpayt7zfH9zAnfU1ctS8bAi5yCkHsSXeM6KecCRYlJKiP/DyHEcO5jEuadTSL1ZkGWWYpG0evxVA9E3ddR/x0TdiyYix3RPml24iZcMhPo1qa+9FHcxuaeMxZDtEH++hPsL9oAIAfsr0sukTu5TdfvQKOZalEBzOpob+Id9+pLKlEbS7aRWhdIe3tSGX7xuE8hPcSTp/t+OnsVTg95bAUTOU5lrbYIKQFLuB61dILUyBg5BtUZBZPuZhofxrOatmzq0+Xvq4xfS1fkz1kjd6utxX4RUeY3iy47yN4Y6Qt69TBU90N4o316gt0X/54nzmO86dWgKXjFvRNkBwiNPwN5yHVUB9fxpkC53NVoUa2YVpP++UxdAy1TIOgkv2pBZ+gZFpRJ2GAFG4JogsPRfuGvSTW6UEZgfgbLp7QLPdXBqtXS7L/k9f43rI7UcuxWFrl+QBDARvyR9Hci8hFjyEUG+fxaJoc9I9SdW5oAccCngkcMysIKWY3hvIBCRvYLVXmZVLkIT/wYr8/IsyX9fup1UD7m+aM4iW6ONDrrH8qFbkYnej5SYfNKGAxH4V0uP/UeiO0ATfSJsSZ/7gcKQJJ7nUqOxyKFd82wpZ+kkKx14jRPW2gAAEABJREFUSh0niaOrJaFO7V2uWYwe98cz/YLILoGktkl6u7rNpt6iDKaPObi+3dOF8ta5LCYQx8/V3QhT0fB6cRRfy/djT10EGUMsoJVJJATBfZ3hLYRlBXNY5/qygF1GW+IkDkUa8HiiHafNEHqaD6BZS6MxH8RtR9oRVgyMOXmcLafxZimJomuj1QmhfTIka25vc6RbinXh1tYTUF0H6YqeV9OcvVojCXcqYNUFyFmyobcc/O8GSfhTBeT6ZDstjCnO3+hIbFKhKN6ixwh6LqX7hoiBl8X3KyzG6av08dPYZQQYgTkQ4GhGgBFYEwj4xHojTNnfOsdAQJDnvuS7jFzAIml43QACjopdagTv6WiE/6wdLuexJerNB0hamTa/f3Lom/h08iVcPJnB3oNNCA/psoX8RRuBPlX6F2uF+nUQ6U59IKMJzj4wqEppdnKpnkKLg/FbSpi8oYRSnUNRCxp/c8DWynBVR87DqueY5P+9xjvwvtAmEAFPFfok7Wi+TEEpDe1Ltz9QkZKuDxj46R1deH9ns9yIIEz+6ewQiHj/1VeP47ffOIVHzlyYZZ44PyKmZLas92pYe0zghcBeFMTcR1FLU2T7H5SvR9JxQcRyNWE8s0+k85zGRfG+tDj5F2s6KweHnkxnJY6LLXe5+fxDXv32/fp+bFsHSJ87bRz92Vv9kiD306rdXvE9OCrWhyVVhyo2avSAd78p505JtTJaQtxPYs6ZEZs3waopp6+GKGEa1dWxnxFgBNYAAkt7aq2BAXEXNyYCriBFidQkQrnWwalm/oQEZqNIt8vBVllEABPxm2z5JLKRu1DWW8QE0QLhRdLvZCi7LeLJXWlTCHg60AOF4ytd9bLrM3OHYOVeQSj1ddQNfw6kcoek/mlTgMhxKd0eXhmp5nLQO/jGzHtnCCy704ssSJI01frc/2j8Nfza6Hfw8yPP4EOD/4pPDj+z5tTN/G3qOD4x/E1csAXRu0gcSH8m6dUkgvWDkS2LLLU6svk61A8Uhmt2iIjeJ7Pemym1dMvXC6KYCo6fcWCGmhE3c7CyRXzrYgn7rG78VGw3JeP3k6/g9vYg6kPDyGpDaNXCoIUi5vkrFh2cOZ4RORx0xMcw3nwrPhhpx/ObHoYebcA7N39HLCTKaDwXxqetO/DB8Fa0qiFJtotCuCPfhnyhDMvIit+hRoyfHocTiCHWsQltdeehVTZWrOjshUV+wqUqYCaC0l2O9VDlXiAp9wOCLP/c5GFZDfWT3hChwJHiGDmIVqTaFUWBFZNR0yza9KAIepWcvnfkZ8MIMAKMACPACKwHBHwJ9wZHMKxiQJariU1ogMhrEVz0x4yKrK6LH4u3w9JUhAThKGLkXJQ2/cn/90NnQZvf7Tkxdzh2O354tBdblBg6OiI41J2Uc4jSaVuqh6H8Cxk1L57b5z2qY/zmEsbeVpTEenp7GXQgKhHtyX0lUNg/IHahOv10X5d30RAMvoisNQ+jOcHD0e24zqwXOQCfpCWSmCKevDAi9baTKhmSaqc439zbmsBv3LAV7+9qBqV3BAMyiaSc6ZDOmebJC6M4MJ6Wea6G1WuoGFSb8Kq1E8VgM0iyvZps/2RMRTVh7PfpxZEJ/KfXT+GJgVEZRWPzr7+MWKRF9xCVpewHr9K4SUc7vXlAB6ZS+9S2b2ijxD9ElUj3L56+4CfNck2rGxeMZpTVMkx9AAgEpR53knBXYrQZo8AO7ZhWzldD5Ev2T0vkwGUhwIUZgSuNgPcUutKtcP2MwFVAgCSLqZmZB6cSgUqEMhGoRDxTno1qaGMiH7kbk40fRbL5kyACfqLxR5GOPwhSgVIyu64IND7ueunsFal/OZUGsodkMVuLy42HUPo5Qbx/FtGJL8v4XGgvCC8ZuEyL6qIqArmDgoicIO+ijVE8C9UhcnPRRWRGknj+eOx6qV7m1kAzSJqIiGdKJMl3WtSQfy0YIpe/lTsnu/p/M6eku5BF0vyPpk/KbJ+I7Z7Sby4j1oC1kB73l/NDU9LtuwKJWSPSghbqKqT7yHADOqNj0FwHubGiWNA6+InYddglFoHjbgG/Nv4iTgSGoUPFA6Eu+H+lvLeQ9MO+e/pEFqV8EfHgKMbqY/jVppvws/HdeFeiE0+27Edey2Nr/Awg2jv9ehYPRbbiTxrvRkwxkVAt3JBtFC25aI0N4cgTjTjwhSDy4y7stlsE+X9YLuYBBaGIgZl/PuEejNfu28z8tcL7gx1Tb4D8kdiMojxEtlM/m7QQBSUJQJ5E5eBU8htBsi8Zui/9TQ//VfJLqexjBBgBRmBZCHAhRmDVIGBbruxLk+s9j+vKOjQF8ONl4iKs6CYdO2JhtAwEoAoinOakEH80HyWy2RVkfDGn4e6RNvzXM3fiVjShORSCtUsHdioIdmr4t+ZzGHRyUiUM1SGKz/uJHBVlRQ4i132JfCLWiWjPbClLot2PF9mW9EkWSqA+O4Yj3+SrNQ+bWSGRtCQFTfFPXUyCSPOQ2Hx4oK2RomYZyn9vSwIPb2rDL12/Cb93cy9++bpNeHhz6zRDKnqo8NUinqmtBsEgbdMV/I/wR/Bo/S9jIbJ9TOD1l2+exSNnLoJUrxAOv7FnC2hsRFZTnUs1+xrisghhKT1X2DpXObSUDkyt1RSNwyfdSQ//I2dqk+7vCap4xrpDqpUJ5N+E07FZVqeUs3BDLhwxQ84HvDiZICxfDVFH2Nt4EVH8YQQYgTWCgPi5XCM95W4yAgsgUAp0yRxqeVC6vhUoVqTbBYHqx7HrIUCEsq03oxjcA1KB4sWuvE2bIWW9RRLbV0utynyjUNw8jFI/XNWSmw+kc70gMKAwSf2TW1gh6XbqB42f6ie/r66G/PMZkrYPTzyG6NjfIjjx9fmyzplGxOLHBdn87+tuAh3k9Jmme/AnjffI/KT7m0hpGVjQurYZns5dkOQy9eLp3MAUGUrhucznJg7LMrTZsJiF0Fz1XKv4Hj06RQr76k2q+/K0wITCt1rN5NQ07Td6j/jzB3U0t4WgKgrqL2TwRsnFG0UX/zFxG4gEP1YaR9IpwFI03Ga2yLr6TkzgS48M4huPDyKTJokbGS2t830ZOI6NrobTGGi7Y0qK6Y6AikTjVnyt6TZsaj4OpVzC6RMZWb7XrMM7BZl/p9WCmFhwQyyuo2ETqZGorDPZ58AONaG9bQJt8fNwXCASLMm0ait9USSIiGiLNzbhXdbnoYqUOxUmdUMPiU0B8pPKGXIJcyLUq9ux6gTLQIkVQ9LtGbc061XySjI7jAAjwAgwAozAqkKAnqDTn2Tzd88JUAmguWxib8BAT0Uy3dXmLzczlUjuYqsjo2NvGNINK57755nXUTCK2JQP4acG94BU29HBpeO3FUHlKDPNZ19tHcE36s9hvFAA1aEK4p7SahljXIUxqYAk8bPd0+cwWIE/kjQnZEpGAXR+y2Kr9AnTf70wIovsF4Q6EbUysIBFBHx7KIDbGuLTzO2NcVnSP9BTBq6CdXsAyCpBPFqwQGpkEqqCn4yqU3PC6i48dn4Ez1xIgoj2hze14jdv3ILFjru6nmo/bdRQfUTgk+qd6rRq/9FkGi8Mj1dHLcvv62+fTwUOjckn3WlDpRbpTpsVyfBekFoZ1z0HLWLL/uihIhxdxUWjCV2mJeN8iw9M9ZFg9+oiwK2tBAKXt2JdiR5wHYzACiHgCEKXqjIKl6SoiVg1cwcpGitJoMoK2VoSArbhEYNaqW9J5a5EZv8A07LWLKXYSQLfO/D048hG34F03ffK+JVs21dntBgpd73Qj+joI6C81AezdJqcFTEk+b4/2C7rejTjSYDLwCq2Xs4PTeudr+5jWmRVgNSEkCoZWsz5ujOrkteMdy497kcKSfjj2x9sm3M8zds9wnpckNmRoDd5rxvKyvwvFFwQufyh6HYZzrlltGth9JgRGT55PC9dOhz1G48PgVyKIHfoQg66WkAomka8rpOipwxJ7rzcdAfGgjrqQmJBKYh5KkMZfqv+NvznhjsxNupJp4d1naKlGXjdkW9/6EYB+7d9E3s6XkdjvSPTfMsWi+vcuCuDwYR0lm3tD3Zgp1EvFso9mHmP0GYHVUwHp1p1gFUh2sNNCkVPGV+6vdar5FOZ2MMIMAKMACOwcghwTVcVAVeHJK2p0Y/s2oKuSIS8Is57FsvAIq1stw1bkLSamAIE+zR0696GO81noqaDH5hog+0ooHy5Ho+ErK76ocgW/GvzOZzUJkF1hE/NzfpT/VQ2126LvpJvZc3xiSwIAUuMZynnt3QKwpx6QqpJQpqKe1s8dTMUt1xDJDzVRcQzSZIvt56lliO1Mn4ZIttJjQyRyX5ctXti0pt7/kRvB26rbBBgBf56496rhy+NTtSsjfD47Mnz+Lu+QdQiv2sWmiPS39DoqFzDObLBJ93pmhDp/uX+6WsYKrfDiuHV4G7YroJAWMyVRaQWt+GoKvoCveisurXztgPa4BFZZN3ksmEEGIG1g4C6drrKPWUE5kegXCF0dfvSg42IVcXJo2R0w1Ws+Svg1CuKQElMIKiB6g0RCl+OMfLHUTf055KoW0o9Ru64zO6T4DIgLLpH8uFbUTI3idDKfhwtjikp9+yBOSsnXfJ0qK3mTIDeCpjvbII5K1kggdRnUJanFyktTnmvlSFJY1qMhRUDpCKH+vGl9NxqZUgqmaTbKd8HI1tBGwzkv5LmStW9N9Akq/6b1DF8bvKQNHSg2BfSb8l4kqoKKYb017K0oIX2GzzSPT2SQKM1AbNkIzxSBEm5jwo++/sj27Bdr5Nk+82ivZCoj3S0E6mOUgEdoWEpoU6S7q+8MI5zfVkojoOuhjN4s3k3bg9MJ6FpsXWv+Kl9uvF2dDScFnltHHr10kKIyPdiRX97OSvY7ErHx884UJMH4ZgRxA0dexIDCOhiJVtJJ6eYEx0WnqAgwOm7KryX9fmN+lvxI9Eds+rw7xm69yhxx4MaNr1dgRm6NFba9CDpdiLn1+IbFDQuNowAI8AIMAKMwEIIlMOuzKKnVShl6QUR8Z5v8Tapb8n1eBWE+jVEi4Ys3OyG8GsT18FyVZwL5ZCrQbZTRtoojxgG/uum13FWz0hd7uFT+lSfKA8Zc1Sdkm7Pd8wm7rECf2Mlbxx3R5uXpLKwWjp6f0sCJLW+At1Bm5jvUT2+rm/yX2lD8z2aA9IBqfOR7UQYjxZKCBsaaHNgJfvlq+M5PpGrWe0jZy5OxRP5TaQ79WcqcpEeKkO62Sl7Z+XAVvLPZYh0/+kd3TL55RqbAXcEVLwRuBV0dxqhi1ACGpQo3VOKmAdPF2TxD0wlPf4rdb/IjrHFCDACl4XAYguri83I+RiB1Y4AEZqkCoQIdsXNy+7ORazKRLauKgK+yh9S5ULqUlaicSvzMlQnJaXBF1sn5aM+0L1im57U/Ur0ZTF1FK09MpueOybdaov6FR/6LEiXPMVnI3dJdTeO4fVRK05XlUR5lmuIUNy/Ridj33wAABAASURBVKTcfel26u/+YAdIDz3p/DxSTNYc/qOCjCcidJdRD/8AzJoZ10Ak6VinbtJ4aHOEDL2VQEQwbUAsRqqqcYf3mD91pA0N0SJUuIiMF6haHC85oHvhvlA7GjUL+yv3xPn+nCTKG8MjeP/mp3F3y+sy/7E3J3Hs8CQct4ym2CDON99c89XhB4Mq+uuvg9mQE6R5BplUUaqWoUqSYyUoro1EOIliroGipow+8rL0O7GbEY8kUGzwpO9lpLDSQ96iP9aUEqEr9/Fx7ytPykYat2nYeo8p/b71pcrbIfvFPenHscsIMAKMACPACFxDBK5I067uPXv1CW/TmaTUl9sQqYghQ+U/cfp63BvowO+O3Y6t5QgmtDL+Qj8Lkkqm9FrmukACSTOPv+3xBGes8yoSL5kI9gnCkvhKUSh0Uhc2QJLyy9kYkIXnsah/ruvC0W28KzydHJ2nmEzqCHmCBCT9fO8KSLfLSoW1JxERNjCfahXKkJrIkLNi5sNhFf+/uAoi3+eq9HhFun1HXXiuLMuOJ2J7ayQEku5/ceSScAdVSFiQIax/ekeXVGdDpPufvdUPItApz2INXXPKuxTSmzYXSOUNvc0wkPXm3VSHb9TwTuTF3NvWBGfxtn1wKyDa1vR7yt9E8dUR+eXZZQQYgbWBgLo2usm9ZAQWh0BZ88hJvTgMUsvhE6vlgLfLvLhaONeVQIAkUqckvNPPXXYTithUoetLFWnOBMLjj5F3QeOrGCoG94D6tGCBFcxAmw4loxvUXzN7UNZMRDvpaq8b/qyMJ4n2icYfBR1uSxlKlXvXWOEDZ9eKlPuT2X6CAXsrmyO02KKIp/PnyZlmSOr48aynsujj8eunpa3FAJHh/6v5u/CpxD4p3U8S/nTdPhDegv8nvmdRUlVNu0JSJUp+3EWd7i1CGweyEo5viTk+eX4ieh1+MX7zFOF++nhakOo26iIXccgJYFfDSbx/09OIGllBljtIBEdBh6XeH7aoeE3zYBDoC3Zic/NxkET80UMeSX7+TFrmb6ovYXKwUfq7btdQlzgHp5iHrcWR6n4/xvd8FK7qSb/JTMLKJb1Fv1XnLVhF1BX5kNQ6VTxcrgBEgSpDb1HQWxcUNZ9KH0pnwwgwAowAI8AIrGUEpiTcMx7h7lYI+OWOiYhwIu3byyH8Uv9N6BwNS4n5pztHUVCdeUljmgNRu9/UzuH4LZMoxVwp4R7q1xB/xUT0TV2qm6E+r7R0O5Gu30mO4r/0vwUXQG84IoUWhHfRn/qAgU90NOCTW9qxktLKPpHv6xmv1aHjo5P4zePnUEvFSa38KxVHpDfVtauyKUD+lTS3NcZkdUSmS0/FenJgVPr2tyRA+t593eokqf4Hh87Mu7EjC1ZZx1NZGVoq6e3nJwl/WUGV9bZgEM8GbpeHp0b0V4Ggi7KiIxKYrirSPzC1+u2IqmrYywgwAqscAXWV9+/KdI9rXbcIOJUD/0hPeKB4Qo4zF9orXbauPQK+ChfSTU5E8+X0iNTJUHlf7YpR6gepY6G4+QypGaL0grmNnKtuCsHdss1g+jn4RDvhQZGF8D6kGh6GrTdTUJqS2S1drXRJVZKMuEyLyNz9wdWty50I9IxbAhGgvtoOf7FF0t7Ddm4aCr6qFcpD45uWuEYDuqKCdK3vD3YIQrwDD0W24vsi23BTwCOrFzOsxCbvUZ8b8PSlJkZyIH2b520X52xAE23cYjXJqkidzDjpWHddhFpS+J/dD+E1JYpEaAQ/uPXruKXjKK7rfB3HEteh11Aw1x+9Lnuo5Xa01Z1FQEthPFnA0IU8xkY9EjuYCIL0sesW0H6Thu6uV1ESl7NQ+X7Uqjdd+QqYomyt9JWK6zEisiqfVJeBKquvmJYheosipBjSzxYjwAgwAowAI7AeESBVMDQuY8KbS/hhiluOofK5Hk8c3ahIzad2lbG71Xv2nkx75KZfN0ku/87rJ/HMwAhobre/Mnf9R/sEJm8Um/d7ypJ41wqQamaoXHaLmNyQp9osw/+kaPO33ziFn3/5KP7jGyfxyIlhZMYN0Oyn2wouo0ZgR1sjmuPhZZWdqxARypRGZPJc0tsvpzKUBU8PJUHjkoGrYA3kxIUR7fRExIRPuCv98cdO9w1tilD9RPKTIen2e1vqKQq02eGT7iQR/2dvzf82hSxUsQZy3tx1qaS33zfqS6WqKYf0tJ+J3g5bzMEdZRSOC5zRO9FlTsfJ1x3fGw1NlWUPI8AIrB0E1LXTVe4pI7AwAiWjS2YiPeHVkswykq1rjgCp/SkE98h+EOEsPcu0jKJ3OG4xtBt04ClVQ+pYzPxx8tY09NaDZk/AVS1cq7ceiqE9ICl2knIP5Dwpd8JkvOkTyETvB2FU3Xki36m/enkQJNVfnXa5fiKmqY5a5DXFX2vjq+3YG2ie6gottojopIgjxTFypHki24++cgqkcuY9YW+TQiawhbYbvUd9JhVHR3gUcBwYZ7yF17fyzjSExsdKyOdKqAuNodjci+ZoE/5i8w/jSWsLMihia90RKAEHdY1bvXJOEQc/fwwXvnPBC1fZb4vH8HrsOjTGxL1r2yAd8KV8GZaRhTEZkjkjLSqizQXUN52FUwaGJ+beIE1d8BbQwQQtdWXxK2IRid6jR2XddE9JT5V1oDgkQ7QRIj2XYXFRRoARYAQYAUZgNSPgVF4quxz97TPHR2plyFA8SbyX6hz45KSvj5uI9v/0+ik8cuYiRkplPDGYlFLJM+euVJaI9/T2MmzR12KjA4qjupdi6IycTw4/g18b/Q5+b/g1/JZo+/GBUYwUinBcF7ZuIx5ScGMiigc7GvHACh7+uZR+zpV3a8SbV/k6v6vzEQl/KJmeinpCjIvwnYq4Qh5qdyCbl7X3RJe3QSELz2PVBwz4Uu4+sf23py7KEu9qa5z2JgHlJdKdVMMkSyU8eWFE5lvIOjGZk1mWSnp3hMQNKUr6amGEd9pnU6gL581WlMT95Yqp7Yi1dZqqRsKPNlGoEPWdXDaMACOwthBQ11Z3ubdXAYE13YStx2X/SdpZcfIoGd2zCEyZga1rhoAv5W4WjuNypNypPA2iZHZL8px0nlM4OPn1Oev133ogdTKU91qZXPwdsukpoj3+4Lz3abmiKok2kmTBFbKIvPYlhUg3eK1qpfqMYhJEaNPBnX84/hoOVxHdtcqsRBy12y8IdKprJoHuq/H4UvoUJYMk3R9Nn5T+T8R2gwhTGWBLIpDoUaVamYlMI9r1CYidG3QdES6AYyVhVX1OHacFmY2m6EXc2NiFn4yquD8SwD92vRdfaNyPEcF5v1h/A7YHvEXEuRfKGOrvwZv/Vg97uL+qJoCk3E8034yu+lNwXVtKubtwQPrbh8c6ZN5oqwJ66yQYLWB8vAsXDpsyvpZlF7zYSLNYlXjeK2bTd4MqH7Fz5EwzL+U9wv06o35aPAcYAUaAEWAEGIH1hoBtudOGtFJ60YkgT+4rTR2SSoQi6bwmIvTXXz0uiXbyUxyR8aQLmwhSej7XErwgAn/8tiJIWr66w/+QPo7/MfkmaF5ZHV/t/5vUUdA8eLRcxPCwjgtnLIwViyipZYw3D0HZNIwf2FmH375+B358WwceaG9EqEKmVtdzLf0+uVtLrQyR8IQf4fju9gbZza+cHZIbGDIAXBHHb5f6FtK1K9IGVbo77glJPHF+FE9dTMK/b+5tTVDyNEP32Y+Ja0j3FamhofzTMswIEOk9VvQmy1R2RvK8wc6QJ61O0ve1MvYaKl4O3AQi2yndDG0iZ8r4Evv1pjFt42AqA3sYAUZg1SOgrvoecgcZgSUg4EsD+0UK4Vt9L7urBAGS4KaNEEVsiJh5T+3PUrtGkupU3tbioGtO5fORu0EENkmOR0cfoahZxn/r4Vqpk/E7VAz0YqzlP4Ak8wkPP34u11eVZKywHndqr1pS6JPDz2Cm+cmhb+LTyZfwhdRbIEn4VwtD+MuJw5LkpvJXyjyduwBSJ0OLqpkE+v5gB0iS3T88lRZKfl5f9cyV6tdarXfT3rTserzsIGbkEMwU0dCfRdJx8Ubx0mL6zGmRz3WxpSUPJdYpy9AhqB8KKzjYeDN+Z9fP4o2WO6fUyYy+OSbzkPX8I62zNrturmvEUF0DWuNnoTgOIOoORlMolTyVOInuIuhw64BYK53tvxnJ0zZVNcvYeUWqoDECBYTqCrPSVzqiWxcdEpUeKU4/nJc2d+i+CysG+F4TAF3RD1fOCDACjAAjcK0RIBUw1X1wtEtzhur45fhn1t0b96SgiRwmQvThTa34zRu3gFyqnwhSIiEfimylIHzBCxmoYZFqwq8Pn8N3xgbx88PPgsLV2YiE/+Px10Dn/+j5ABIXWxFJx6AqCu5tq8MP7qrDz7XuxGea7pFq/arLrjY/kenUp+MVaWzy++alUU/IYnddRG4W7G9OgDBeiloVv66luL5kd28stJRiS85Lh8bS/UJE+z+dG5Llf3hLq3RrWUScv7vD23j41wsj82480KYB1UFS8Za2NOqM8lM5Kj9Q4+BUOic1H7sLBdVESdGRCWyhrFPG1x2/LeZ9L6YS2MMIMAJrBoGl/WqsmWFxRzcyAr40sKtaoEMqVxQLrmxFECBynCoKZF4iZ8lGL3mStGVr+7Sy2dj9U+pa4kOfBRHzfgby+yT9tVIn4/dFumIyL91FWEWzV+ZSi4PSXUmLJIX2B9tllUQkzjSUQKQ35flIdCd8ovvJrHcNKH0x5uncedBrup+skPofE0T+hwb/FWTIT6/y0sLHr+vlihTxQ2FvUeXH++51gYT00kbAy2ITgAjQj8evl3FszUag4XoPr6Nnb8OtrccE8V1Gd0XK/Y2St3i+cDGPYrGMuDWJts7pUjYkrf6zMQU9uoqHQopsINnnYOR8EzQLUoI+P+7i1FNlmeZbVO5sYhc2Nx2D65RkdFOzjkK/I/11DcMwxPdZDweRzjYhPeiC6pGJVVZuwuujHrTgKqLBqrQr4b3O9KTXz5RS06o/UBiW4b0VnfcywBYjwAgwAowAI7COEaBDSP3hzSTJ/fiVcN/VVIe9piEJdiLab6uobZEEaUUym0hiUunmz0dpfjlX268URmCOtSI83AZ3LILfGXsFJKRB803aQP/Vkech55DjCdQPt0K3dRBx+5t7tuChzlZJslerNZyrndUQ31shtS9U9I37fSIJbV+dzO0VPD/Q3QwigomgJjwpj59/JV1f93ln+MrP2/zNGuo/bT6QIf9chu6t2xpjcuPhf544P1c2yE0DkdoRDgh76Z9EwJCFfOJeBqqsnVYdHom/H1+P3o2IEa9KAXz8lqo7flolHGAEGIFrigAT7tcUfm78SiDgSwPTYalXg5i5EmNY73XSRoitxkHS6Gb24JKH66tWmSmpTtdbHjpaqTuWfASR5KNS6tZXJ1MI7l5ye9e6QNlskl3QbU9qQwZW0Pp4bDf+oOEufCqxT5o/abwHvvliy7vwqfr0+HDPAAAQAElEQVRbQXneHeqWfmqapIFosUL++QxJCH967GV8bvKw1LHuE/okke6XIz+9ykvSR7QQIvU1dGAlkehzSRH7kvm+ju0HRN9o88Cvk93pCFh1Cuq7i8gVogjkIlLKPZQpItGXxQsFF6OC//72yRx018aOuiE4sa7pFYhQp6bgF2IqbjA9wv3Utzxp9O7bNOz9EQNEiZ98NoLJk0mR+9Knve06FMIGtrccwtam43ADbSjnAVIjEw2dlRlJzVP9Zm9KQkS+jKyyUhe9tiKtXttVSVfE6x+c6qs18hvxN4J2Gd4Ghh/PLiNwtRHg9hgBRoARuFoIVKuRqfavdPsNYvP9wzdswW0VYri6/n0NcUmGE0lM+scfimyRyfRGpPTMsIhUf2FwEoqjyENOw+kY4hda8G9jgyCineamyWIZdefbEU7FZGlSt0JEPxH8MmINWb40NUmu+7rMqftE9FIcEdCUh+LI+GpVCM8vnr5AUStulqv7fDkdubfZE5Sgsg9UNmfIP595oK1R3lOkJ32ug2R90ntrNDRfVXOmEe6UOLdaGeBU8B78S+ghdOoKZZ0y/oGpHatMfdFUB9nDCDACCyLgrW4XzMYZGIG1g0AueAuykTtRiNy+djq9Pnq6pFH4utyD6eeWVE5x81Ii1lUt2GbzrLKkomWi+RPIRu4C5SFd7/HRz8NXJ0PE3qxCqzyCNhLKeotYNIixFzyCcqW73KGHQRJDZIi49s3MdijeJ7tpsTIz3Q8fyo/ht4ZfkupoiDwnSaSPx66HT+T/VfPbQWQ+mU/V7QNJ0RPxTkQ+Sa1TPSRVT24tQ/2gMpRGdT8UqS0JT+lsPARabw5JT3/6NpCUu+KW0XnUe8348ZyDsROTUFwX7Q0llGKdMu9clpMZx3ifI0n27tt1KeG+Zb+nn/PgV8PTpNRJyv1Q8+3obOjD5ubjSA03gP4iHUFB/h8iL2jzLL61TvoHXhPsv/RdslKDnt+KT1+MeLErb5MaI9rwoXvS39ShVnwC/lZr9m8PpbNhBBgBRoARYATWGwJ2hLbUvVHN1OnuxV55m0hwXw0I6epudSuq30pjNdUcPpsZhDsZkmT7D29uAx14aToG6oaaURiMIJMMIDHQBoojqfbf2LNFqlu58iO5ci34Uti+VDa15KuT2RYNUnDKEJ50gGhIU3FoPI0nBxZ3gOhUBQt4SPUP6T6n+qmtBbJfdnK7IKUfrIvgA4no1AG8C1VK/fJVz9BBstTnmWX8TYPOoDUzaVFhnyz3yfNahX4xquDTYn4bVKan0kYAxXRWdMGTfxUa7hIjwAjMgwAT7vOAw0lrEwFHr0M+co8ggoy1OYAN0utiaM+U+pelSLkb+eMSIVIdRES0DNSw8pG7MdHwUZC+dFIlQ6a0hg/RtQ2P4NPsCvNYY8xXK4oOMSWSm6TVSRp9ZrukHubXLj6Pw4UxqYKGCHqSkt8f7AAR5WRCyqXvJ0mxU/rvNrwNlDcs0hRFwT3BtplVTwu/P7IFTVoIv5C4cVo8B2ojQIenUsrg6QjaWmKelHu6IKXcD53PI1AqI6CW0bCpBQv9nXkpIrMkejToQenFlvt0SbyTSphTT3sS6aj8Xd/YjTEzgazYKEOmUcY2dYxAsyfkxlg50I3m7SUZTxLupLNdBoR18ltl9H/HU1XT0DVdxYtIvmIfX4+7f3Aq6X4lAr5Hj/LBvFcMda6YEVgJBLgORoARWEkE7IA7VZ3r7a1Pha+mhyTfiRwnqezT40XsD7bL5uktSempst4Yy4Ck20nCmMr99I4uvL+zGRFdg5UPITIRk7ra17JUe9VwpXdrJCRdX8KdVMX46mToDQGZWGUR4fzTO7plDBHOK0m6n0hnZb3tV5Esfue2Duzf6t0TsvFFWHR/0D1AWf/srbPwsaMw4edvGhChT3FLNVQ/lSHynOoj/0yjiTWPLkx1vK/znQ9MrUaF/YzA2kOACfe1d824x4zAukFgOVLuRtGT8C4FPb3m84HhaHGkEx/EZOJhlKwdyEfvnC/7lU27zNpLRpeswSgsTXe6LLTCFpHlDwmym6p9NH1ySrKIVMx8cvgZ+Auf749tAxHpD0W2CmK8wspSoTkMEZmU93PNb8dfNN6HHj02R04verdZjz9pvHvBfF5utq06BU07vcf++ZIn5W64NtrfmkB0pAjdsbGr4TzK0S6kBl188w8nMXRktrQ5vWVy9kWPUN9yn1efjy6pliGd7hdes3HhdS8Ppe2IxPDypvfhqa3fB2fUpCjUJbzvcrlyb2tBS6q9UUTq0FsewU5k++mnbNA6ZOdtR9C0Y3p7IusV+2wyorJuX4/7geKQDPv63WWALUaAEWAEGAFGYJ0jYIerCHf9kv9aDPtndnrzYSKId6ueMMqbhemq7GiD/ORYATSfuK/lkqqRe1sT+MXrNklp93rTBJHwD7Q3XothXJE2fUloX5q6Wp0Mkeu1GiUi2T+UljB96uJ0LKkMkdCffasfXzjSR8FFGb8PMyXrF1X4KmeieyBhGKCNnP929Cx+/dXjeOTMBTw1OCZ7kjAvCQnJiCVa/kYIXY/FFj1X0cW/Lbbw+mmxdXK+a4AAN7nhEbh6K9cNDzUDwAgwAjMRKFZJuVvpZ2cm1wyTihhKIMl1chdjSHo2Vfd+lMyexWRflXls05M6Vkse6XetO7k/2IH9wXaQxC8R7HRo1a+PPg+Seifp9//eeR9+ILY4on3mWGiBFFUvb3I7s04Oewh07/OI7BPPh7F5e8yTcs8W0XYkCRUuepqyUp3MsSfKcLIBvPEPJXmQqVfas0eO5KQO9roeFQlhvFjPtgSpv2W/LgOnBFGeH7+0MP9wUyP+XXOTqM8j8eONnrR6KeBJV1Gh5l5Pyn34qIvDX7Fx+mmPbL/+vtPofGAnaBON8l0NQ+qVqB06h4Bcn3jfa3oLfIpjwwgwAozAWkOA+8sILBUBx/Ce5aS/ncxSy69kfiKOb2v0BDJeO18ACWvQ3JPmoX47r6cmYJRMhHQNexIRP1q6VJ6IdtLV7ksfy4R1YBF5TipciDgmCem51MnMHOptjXH4Ut7/dG5IqpihPES0k9Q3kdBH0zm8ksmjltoVyjvTDOQKMmq5us9l4ato0UbO/uYESKKcdN6/ODIJ2oCgLlzuGDpCAaoG1ap+ZMQ8lr9hwQemzgMSJzECawABJtzXwEXiLjIC6xmBdP0H5fBC6eewEOmuF/pBqmFsLX5ViTfZwWts2XqzVL2hORPyENhr3B3ZvK/+5encgDwUlch3IuFJqr1ZD8k8i7Q421VCoG5zcErty+mBnVKXe8CxYTkOLK2Mhs0tGOtzQfrZqUskWf7y/yoKktxbbFOcr05mLmnz7js01G1SpR73gddsKjJl0oOQZH1QEPNB5biML5lVhPsuTcYNHbVx8fUywpFJ7P+Ro2jdvxPzqZCShVbYatSCskZ6c4MOX6OzCEjdUY85ffEuM7HFCDACjAAjwAisUwRIwt0Wj8Rivbdhfq2H6R92SYRwbtSS3Xk65x38Sc/rly5mZNy9gkCVng1kbYl682+Spp5PncxMSEjK2yfdHzl9AT7RTod9kvQ3GSpzcDxNzryGVKcMZPMyT+dVVCkjG1ymRRsxH+huxm/csAWkz//9Xc1SF7wqpr+3xDxMl1m1rIfK0v1K7mLMyVRWZuuokPUywBYjsL4Q2BCjYcJ9Q1xmHiQjsHoRICI5G/0u2UEi3YlUl4Eall7ql7Fla7t0N5pFeutpzPoqkXJvEoTkByNbqUsgIvIj0Z34eGz3otTHyEJsXRMEttzrkdr9p9qxtQeIGVlosLGj3lMnc+55jyTvvXMMW+9KwxZrJp90J/3qRMbrYn3bfqNXT61B3PA+b6EwU8o9ddGrO9FdnNLfTr8Bfh1GfRyhWFG+Bh4SZPsdDw/C2HSDn3xVXZKao/vak5zzFvLdrL/9ql4DbowRYAQYgauLALc2FwLjt4rN9x3eW3Jz5bla8USO/kRvh9fcZAjB8ThoU5w2yL8zPoZSTkNIV3Ffa72XZwPZvtT+04NJkKQ2hQmvxUBApDtJeVM5n2gnEp6kv4mMpjoOJhcm3InspzpIWtzS1h7dRHjd25KQKof+674d6KmL0NCXbRoC3lu7vtT6QhXRhkWyWJLZOtfIhoXsLFuMACMwC4G19ws4awgcwQgwAmsdgXx4L7KRu+QwwhOPzSnBbRQ8nc8Fc5vMu9GsUsDTW2mUPBxWw/jfHeoGEe2/03AHyL8a+rTu+rDCA+rYnZak9vgZB8nIHbi74yA0pYze1gmknE6QdLkRKKDrDg2b3tGAVkGs+6T72Rc8wrxNxOnBuTtGxHnbTRpIQv7U014Zyp266JKDRP056Za12epZrv+u8+jc+iZu+1ASSttume9aWUSwU9uPZzy9pbdas/tL6WwYAUaAEWAEGAFG4OohQOpT6BBUajGSqkMgGwGpODw8WKQo3Ndcj7VI9srOX4bVUZGIpkM6qZql6lAnYv3+xjh+sKsFRLQTCU8ENKnmCQnynIj4hdTK+KpTtrH+cboEoHuVsCNVPwthRwXW+oYFjYENI8AIeAgsm3D3irPNCDACjMDKIJCP3A3Sy04qU6Kjj8wi3RU3D6PUL9Wq2GbzyjS6xmqxjR7ZY7U4KN3VYhHRTtLuq6U/3I/5EXC0OOJbPLb86Ktt6OgM4OM3PIlodyf6XyiDdOh3Xp+GEvG+Z9d/rz5Fug+/5b1O7h++Ol9LW/ZrMpkOUM2Pe0R7UpD8FNnScpIclIK90q22Yrt3YseHboTWsr06+pr4/YNTScqdOrA30EQOG0aAEWAEGAFGYMMhsNoGfG9rAiSBTfOW8GgCb4ylcSKVQVAQwxtRup2uD0m0k+ubfQ1x37to97s3teKOljrUBzzJbL+gr65mIdUoA7m8LHK5us9lJevEagtaciT+ZoQMzGH5eXjDYg6AOJoRWEMIMOG+hi4Wd5URWO8IZOoehK3GQaR7JPllhFPfgJV9GWbuIELpb8vhl7Xmq67LWTa8Cqyy6ZF9tPGwCrrDXVjDCFST4aPRu1FovA7p6A248Lonjd71tvC00fmkO0XW9aizDkul+JnGqlNAUu4UT1Ludl5BatAj3sNh7/Bf+j5T+myz6OnJ7KIrGNOtX3qNuFENsrqkFcSWq2IEGAFGgBFgBC4XAZLAJjUoqqtAG64D/d2QiG1I6XYaO5mtkRA5IPJ9JmkuE5Zp7amoVqEDReer4sRkTiZvq/RDBja45b954G9GzAeHn4cPTJ0PJU5jBNYGAqtjRbs2sFpCLzkrI8AILAcBOhQx1fCwJN318iACmZcQmvw6IhOPST/VWUsiluI3giF8ynqLHKqvXkcG2GIElogAkeGkWoaKXTjXjPSWB9D3SkAeaEqEulFDIopI9y33Kdj5Po80p7ILmWpif6zPltLzsaYULH1oTbyt0mPEpoa4j9XJTGHBHkaAEWAEGAFGYLUgQGpQtkUvFiDzbgAAEABJREFUCQrc3njp2X31+rh6WuoKBmRndkS8txllYAWsGxJRWct8amVIZcpYsYSQpmIlyX7Z8Bq2tkW9TZDjlc2I+Ybib1j0VsrMl5fTGAFGYHUjwIT76r4+3DtGYMMhQOou0vUfRDr+IEiveyG8D4XgHhDRXDY6kA/evOEwqR6wbXhqPjR7damVqe4j+9cGAq03e5P/sy/aIOnzfuFSz7fcp5FT02zebyLcYNZMqxVJxP7Wu9My6fW/9w6AauwYlmGSbqdNJBlYpRYdnOp3bZeZ8L1rx+WeMgKMACPACDACGwCBn+ztwBZTw75YUEp2b4AhzznE7+5sxPe31OEdbSt7aCzpxPel5+dSK3MinZX9aufDPiUOvuVLuF+oqNvx42e6dGCqv2FBut9npnOYEWAE1hYCTLivreu1LnrLg2AEFkLA1ptRFCQ76XXPRO9HRpDvk40fxWTDhwFFw0b+KxldcvhGoV+6bDECy0WgbnMQRIiTfvWX/1dBkO4ASbcnelZ2atB6Sz1CkUkp3U59bag7QQ4cs0W6q926w2pFRDXBhPtqv1LcP0aAEWAEGIGNigCRwT9/Yy8+ssM772ij4kDjVjUVd3a1QFFXdj5Hdd9WeXvg4LgnTEFx1eZ8piCD7RUpexkAsNFdkvZPGAaytoOBrIdRLUyOT/KGRS1cOI4RWKsIrPyv8FpFgvvNCDACjMAaQMCukJR66eysg2XXQPe5i6sMgS33ehtY6Ypu9d6KNPpKdtOqU7DtnsxUlY3tnoR7wdw2FbeaPT8bvwGfbboXIWX64WGruc/ct0UhwJkYAUaAEWAEGAFGYAkI+KpRDgnCnaSxq4tS+GDSI+L9fNXpG93fEfZU/YwWvDc+a+HhvznAGxa10OE4RmDtIcCE+9q7ZtzjdY0AD44RmB8Bkv4nFTuKk0d48uvzZ+ZURmABBEiPeyhWlLlI1Uts65VRm9JySwLhhhKs8AQiEY9wt01PPZJsfJVbypR8/irvKHePEWAEGAFGgBFgBBiBK4QASWr7amXeSKamtfI/TpxHslRCRzCA3lhoWhoHAH8TwifVL2FyyTeQ86Tf/byXUtjHCDACaxEBJtzX4lXjPjMCjMCGRiAXuUseLGsUjsPMHtzQWPDgLw8BOjOh+TpHVrL1Ple6V8Kidt7243nc+xP9sno6k2G162+XHWWLEdioCPC4GQFGgBFgBBiBGgj4amXo8FQ/+cmBERCRTIel/ti2DpCKHz+NXQ8BX4/7+XlUygxk8zIzb1hIGNhiBNY8Aky4r/lLyANgBDYOAjxSDwEiL4l0p1Aw/RyrliEg2Cwbga3viuK+n7mAyFbvfIBlV7RAQddqhF7RymIHuhfIzcmMACPACDACjAAjwAgwAqsNAV/6+lBFfcyLIxN4YmBUdvNHBdlOUvAywNY0BDpDlgzTRsVYYbZamQFBxJOO93rT4A0LiZRnsc0IrGUEmHBfy1eP+84IMAIbFoFiaA9ItYzmTIBI9w0LBA98BRBQodVvWoF6Fq7CyB2XmUp6k3TZYgQYAUZgDSLAXWYEGAFGYMMiQIQ6qZUhcvipwSS+cnZIYvH+zuYptSkygq1pCFiaCv/tgIPjnq776gzHU1kZ3BYLSpctRoARWPsIMOG+9q8hj4ARYAQ2KAIk5W6rcQRyB2FmWbXMBr0N1tSwddtblJWs3jXVb+4sI8AIMAKMACPACDACjICHwJ5ERHr+SZDtRLwTkXxv65U5B0g2tE6sfQ1xOZKnLialW20N5Dx1Mu1BTxK+Oo39jEBtBDh2tSPAhPtqv0LcP0aAEWAE5kCAVcvMAQxHr0oEtPIQ6LBfW4uD9bevykvEnWIEGAFG4PIR4BoYAUZg3SOwp84j3GmgCcPAB7payMtmAQRIHQ/hlSyVpM776uwnJnMy2BEKSJctRoARWPsIMOG+9q8hj4ARYAQ2MAKkWqYU6AWrlpn/JuDUa4+AUeyXnSibrL9dAsEWI8AIMAKMACPACDACaxABUiuzI2whrij4mZ1drHN8Cdfw3R0NMvdLoxPSJStvOxgrlkCHznZWdL1TPBtGgBFYPgKroSQT7qvhKnAfGAFGgBG4DAQysXfAVS2pWsZKP3sZNXFRRuDKIWAUPMK9ZF7Zw1mv3Ai4ZkaAEWAEGAFG4LIQ4MKMwLpB4GM7uvCpG7eCyPd1M6irMBCScqdmXhyZxFihRF6cy3rqZBKmwZsXEhG2GIH1gQAT7uvjOvIoGAFGYAMjQKplMrEHJQKh9HMw897BlDKCLUZgQQQWl4FUwsRH/gpm7tDiClTlorJ66ayMYQl3CQNbjAAjwAgwAowAI8AIrFkEVFWFrmvgv6UhQBsUuysqeU6kvINSz2cLspKt0ZB02WIEGIH1gcDqJdzXB748CkaAEWAErgoCRasX2chdsq3w5GNQ7UuvKcpIthiBy0CACPPY2CPQymMIppb2FoWVOYD4yF9L/e1lvQW0QXQZXeGijAAjwAgwAowAI7AeEeAxMQIbBIHbGuJypE+cH5WuT7x3hFl/uwSELUZgnSDAhPs6uZA8DEaAEWAE8pG7UQjvk8RmdPQRJt35llgRBOiNCSLbFScvVRfReQEUt5jKw6lvIJT6msxKG0KTjR+V/rVkcV8ZAUaAEWAEGAFGgBFgBBiBlUJgTyKC6sNTT1Uk3bdFWMJ9pTDmehiB1YAAE+6r4SosvQ9cghFgBBiBmghkovfDVuMgUjSS/HLNPBzJCCwWATN7EJHxR+UmDhHmmcj9smggd1C6c1n0hkV86LMIZF6SJH02+l2gDaG58nM8I8AIMAKMACPACDACjMCcCHDCOkPg9qaYHNGTA6PI2g5CmgpSNyMj2WIEGIF1gQAT7uviMvIgGAFGgBG4hECq4WFJuuvlQUSSj8IU5CgRoIrrHchzKSf7GIG5ESBVMJHJx2QGItuJMC8HumXYKByf8w0Kus/oDQva9KHNn4mGjyIf3ivLsbXeEODxMAKMACPACDACjAAjwAgsFYF9FbUyvjqZLay/fakQcn5GYNUjwIT7qr9E3MElI8AFGIENjgDpyCbS3VUtmIIYjUw8hrrhzyIx+BnEhRuZ+KpAyBWGP4xAbQRIZUy1Khgi2ykn3VuF4B7yQi/0S3emFci8LN+wIH3tdB9SmZl5OMwIMAKMACPACDACjAAjwAisCAJrsBKSZt9dF5nq+TYm3KewYA8jsF4QYMJ9vVxJHgcjwAgwAlUIEMmZin9A6nQvBXpha97hPJo9ATN3CEbhXFVu9jIC0xEgCXaKoTMBfLKdwmTofiI3mH6OnGmG3qQIVeKz0fv5gNRp6HBgoyHA42UEGAFGgBFgBBgBRmAuBPZUEe4dIT4wdS6cOJ4RWKsIMOG+Vq8c95sRWB4CXGoDIUDqPzKC9EwlPoiJpk9grPVXJAFPEGilPnLYMAI1EdCLnvR6Prh7VnrREhs4lXMCjMLZaenhcU8FDUnB0/03LZEDjAAjwAgwAowAI8AIMAKMACMgEbitMY42Q4fuuOgMWTLuClhcJSPACFwjBJhwv0bAc7OMACPACFwLBEpGl2x2JlEqI9liBAQCpIOd3oQglUS23ixiZn8KIY+IN/OXDk8lFTNGqd87JDXmHa46uyTHMAKMACNACLBhBBgBRoARYAQYgZ/a2oZf29kFS2Nqju8GRmC9IcDf6vV2RXk8jAAjsHwENkDJsuERqLo9tAFGy0NcDgJG/rgsVta8e0UGZljFih73QO4gSI0MJfsqZnKhvXAVltIhTNgwAowAI8AIMAKMACPACDACcyEQjYSQiIXnSub4K40A188IXEEE1CtYN1fNCDACjAAjsMoQcLQ4bDUOxclDKzPpvsouz6rojlEelv0oBby3IWRghkX3UcnolrEk2U6HrPrS7YXwrTKeLUaAEWAEGIHlIcClGAFGgBFgBBgBRoARYATWNgJMuK/t68e9ZwQYAUZgyQg4FSl3rTyxlLKcd4MgoBU8/e3lCqE+17ALFf3uJNkenPy6zJYL383S7RIJthgBRoARYAQYAUaAEWAEGAFGgBFYswhwxy8TASbcLxNALs4IMAKMwFpDoBTwJJON0vQDL9faOLi/K48A6W/Xy4OyYtucW6UMZSiG9si3JTRnAmTozYl8eC8lsWEEGAFGgBFgBK4QAlwtI8AIMAKMACPACDACqx8BJtxX/zXiHjICjAAjsKII2FqLrE8tesSqDLB1eQisk9Ja0VMzROpiFqOHvVzZvKHhZ+IPksOGEWAEGAFGgBFgBBgBRoARYAQYAUaAEVi/CCxiZEy4LwIkzsIIMAKMwHpCoGw2yeHwwakSBraqENBLnjoZx/Q2ZaqSanpzkbtkfNHqRTX5LiPZYgQYAUaAEWAEGIGrigA3xggwAowAI8AIMAKrAwEm3FfHdeBeMAKMACNw1RAgyeWy3sIHp141xNdOQ0bBUzNUMuY+MLV6NI4WR7L555COv786eqafw4wAI8AIMAKMACPACDACjAAjwAgwAozAhkFgAxPuG+Ya80AZAUaAEZiFgKvFZJzGamUkDmx5CPhvPZQCiyPcqZSrBgGFpxPgP0aAEWAEGAFGgBFYxQhw1xgBRoARYAQYgauHAK+Qrx7W3BIjwAgwAqsGAT44ddVcilXTEb3QL996sLU46C2IVdOx9d4RHh8jwAgwAowAI8AIMAKMACPACDACjMC6QoAJ93V1OVduMFwTI8AIrG8EbK1FDlAreYdkygBbGxoBX7q9bG3f0Djw4BkBRoARYAQYAUaAEdhoCPB4GQFGgBFgBFYWASbcVxZPro0RYAQYgTWBgK8yRC8Pron+cievPAJGoV82UtK9Q3VlgC1G4NoiwK0zAowAI8AIMAKMACPACDACjAAjsOYQYMJ9zV0y7vC1R4B7wAisDwTKuiflbhTOro8B8SguCwG95N0HZbP7surhwowAI8AIMAKMACPACDACjMD6QYBHwggwAozA0hFgwn3pmHEJRoARYATWBQK20SzHodks5S6B2MCWak9M6W93tPgGRoKHzgisIQS4q4wAI8AIMAKMACPACDACjAAjsCoRYMJ9VV4W7hQjsHYR4J6vHQRKRpfsrFFRJSIDbG1IBMzCcTlulm6XMLDFCDACjAAjwAgwAowAI8AIMAKLQICzMAKMQG0EmHCvjQvHMgKMACOw7hGwTU+ljGJPrvux8gDnR8A/PNd/62H+3JzKCDACjMCqR4A7yAgwAowAI8AIMAKMACPACFwzBJhwv2bQc8OMACOw8RBYXSO29Wa4qgW9PAjFzS+qc2b+OOCWFpWXM60dBPRiv+xsifW3SxzYYgQYAUaAEWAEGAFGgBFgBBgBRuDyEODSGxkBJtw38tXnsTMCjMCGR6CseXrc9eLwvFgQ0R4f+iwi448iPPlv8+blxLWFAOlv1+wJuflCmzBrq/fcW0aAEWAEGIElI8AFGAFGgBFgBBgBRoARYASuKAJMuF9ReLlyRoARYARWNwdRHngAABAASURBVAJORa2MVuqr2VEiY8MTj0miXXMmZJ5A7iDM7EHpX0mL67o2CPjS7eWKTv9r0wtulRFgBBgBRoARYAQYAUaAEWAEGAFGYKMgsN7HyYT7er/CPD5GgBFgBOZBYOrg1NLQrFxEqkdHHwER7JSYjdyFbPS7yItg+jnpsrV2EZjaTBEbKjSKUqCbHDaMACPACDACjMBGRoDHzggwAowAI8AIMAKMwGUjwIT7ZUPIFTACjAAjsHYRsPW47LxaIdyJhLXSz0Kqj5l8DCTVXgr0YrzpE8hH7kY+vBe2GpfxlE8WZusqILByTRiFs6CNlLrhz05tphSCe1AU13nlWuGaGAFGgBFgBBgBRoARYAQYAUaAEWAEGIGNicDlEe4bEzMeNSPACDAC6wYB0tlNB6cSse6TsKH0c5JQJ2I9HXsQqcQH4WgeMU8DT9d/kBxQPiLoZWDVW+6q7+HV6GA49Q1Ek38Lo9QvN06IaKfNlEz8wWnX+Gr0hdtgBBgBRoARYAQYgTWGAHeXEWAEGAFGgBFgBBaFABPui4KJMzECjAAjsH4RKFcOTiUSlkZJJGwq8cOYaP4EiqE9FDXNEElPeShyLaiW0cuDqL/4B1KqWy/0U7c3pFHcPMycp3tfbqQ0PIz1QrRvyAvKg2YEGAFGgBFgBBgBRoARYAQYAUaAEViVCDDhfuUuC9fMCDACjMCaQCAXuR222QEiYX1p51Kga96+5yJ3SQlp0u9Out6rM5PKEm38W9ALp6qjr5k/OPEN2TZtKMSSj4CkvIl8lpEbyApkXobi5FEyuuVGSvVbCxsIBh4qI8AIMAKMACPACDACVwIBrpMRYAQYAUaAEZhCgAn3KSjYwwgwAozAxkSgHNiCifoPL4mEJbK2EN4nASMpdyLZwxOPSd3vpLJETT4Ha+gfcK1VzpBEOxHtrmrB728g8xLqhj8HK3NA9n+jWGb+hBwqbZZID1sbBAEeJiPACDACjAAjwAgwAowAI8AIMAKMwNVEgAn3q4k2t3UJAfYxAozAmkcgH94rpdyl/vfk38oDOMlPut9ds1WOj/TCS881smgzgJrOhfYiE70fJMFPEt4k6R1KfQ20SUDp693QxgOp1qGNh3Kge70Pl8fHCDACjAAjwAgwAowAI7CaEOC+MAKMACOwwRBgwn2DXXAeLiPACDACK4lAquFhWR2R7KTX3df9Xu74cThaTB6+Gk55Kl1kxqtoEcl8Sbr9Vtmyo8VBfU7XeQe/moXjMn69W9UbD+t9rDw+RmApCHBeRoARYAQYAUaAEWAEGAFGgBFgBFYaASbcVxpRro8RuHwEuAZGYM0gQAT2WMsvY6L5E8jEH0S17vd884fkOEiFy0w97zJBWIpbhOpMCt/Kf6pJZlexpjVQtHpR1lukTnOtPDQt7VoESKd8MPUU9NLAijdPdc/ceFjxRrhCRoARYAQYAUaAEWAEGAFGgBFYDgJchhFgBNYhAky4r8OLykNiBBgBRuCqIqDUfpQ4ehzZyF2yK0R+V+tzJz9JvicG/xh1Q3+xKF3viluWdS3GqiXdPrOcq8VklFHsl+61sogQj47+HYKZ5xGcfGrFu0GHpVKlZaMLMzceKJ4NI8AIMAK1EeBYRoARYAQYAUaAEWAEGAFGgBFYDgK1WZLl1MRlGAFGgBG4GghwG2sKgXzkbhQDvZ5qmfHHZN+tzAGQbneSfJcRwqIwEc/CW/MTnvgq6of+CFo5WTN9ZiQR/BRHutvnIpkLol+UxyhcO8KdNh5iw58H6Venvuj2ykrbE6bB7AGqGrmQp1ZHBthiBBgBRoARYAQYAUaAEWAEGAFGYLUjwP1jBNYoAky4r9ELx91mBBgBRmCtIJCNvUMerkpqTRJDn0Eo9TVJwNPhpXSIqa3GZTg0WVvXu5V+FoHcIbiuCyvznQWHvRjpdqrENlvIgVpaWZJbVroIi8h22mjQnAmJDx1oSoe5rqSKG6NwVqrNIaz5sNRFXBTOwggwAozAIhHgbIwAI8AIMAKMACPACDACjMBcCDDhPhcyHM8IMAKMwNpDYFX22NHiyAnSnTpHhDIR7Om6DyLV8DAojVwimwO5g4JQ96SxKS8ZIttD6efIKw3lIaJaBuawFiPdTkVtvRnULhHeC9VJ+VfSUHvVZDthQCpfqA2tPEHOihhfnUwp2Lsi9XEljAAjwAgwAowAI8AIMAKMACPACDACqwIB7sQqRoAJ91V8cbhrjAAjwAisFwTokNJ04vuQjj0oD1ilsD82It0zkftlkKTfiYymgJk9CJ9sp3KligoYkmCn9FqG0kiSnoj0QnhhFSplrVlWo19FKXca30yynTAoGV5fjNJZ2afLtaZhEdx9udVxeUaAEWAEGAFGYJEIcDZGgBFgBBgBRoARYAQ2NgJMuG/s68+jZwQYAUbgqiFQDGxFMbSnZnsUXwjvk2lERpv544hMejrfs9HvkuUKQa+sL8EuM8+w/LSauttn5KVgKdBFDlaK5JaVLWCZuYNShU5Zb8Fk00ellD8VsY0ecqAWB6V7uVYgf0hWURS4zaXHXmZgixFgBBgBRoARYAQYAUaAEWAEGAFGgBFYTwhc47Ew4X6NLwA3zwgwAowAI+AhkIneL3WZk4qXyPijMjIbuQv58F7pJ6l4UkdD6aSbXEZWWSQRb5T6ZR2FRUi3U9GVJrmpzoWM3/e8GFs1EV42m2RRGoP0XIZFqnhI/Q5VUTC3kcOGEWAEGAFGgBFgBFYBAtwFRoARYAQYAUaAEVj/CDDhvv6vMY+QEWAEGIE1gwDpMndVS/a3EN6HfORu6fetnCCpyW/mD5IzzUxJt4s81UT2tEwzAitJcs+oumZQcfPwCXVfut7PSH0mqXcK+6Q8+ZdqiGz3VfHQhsUiD0tdajOcnxFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBGogsMoJ9xo95ihGgBFgBBiBdYsA6TKfrHsI2fi7QBLvMwfqk8ckvU260P10K3NgSk0Lqafx4xdyV4rkXqgdP10rDklvyegGtS0DVZarxWRIs5enVmYm2T5zw0JWzhYjwAgwAowAI8AIMAKrEgHuFCPACDACjAAjsD4QYMJ9fVxHHgUjwAgwAusGAdvsRD54c83xECHv63KnQ0EpE0mNBzPPkhfZqHf4qgws0rIrh5Uul+ReZDMyW6B4QrozpdtlpLBKgW5hA9oyDnFlsl1Cd2UsrpURYAQYAUaAEWAEGAFGgBFgBBgBRoARWCQCTLgvEqjVmI37xAgwAozARkSgaO2Rw/ZVyAQyL0Nx8iCpcV8CXmZYpFUyKgenFvoXWWL52bRKG2XDI9Zn1mRrLTJqqYQ7k+0SNrYYAUaAEWAEGAFGgBFYtwjwwBgBRoARYATWDgJMuK+da8U9ZQQYAUaAERAIkHS4f3gqHZQazB4QsYCv310GlmDZpkdyq8uQKl9CMyBJfL08CNJRb5vNNYvS2CiB8lF+8i9kKJ+PAelsZzUyCyHG6SuMAFfHCDACjAAjwAgwAowAI8AIMAKMACNQhQAT7lVgsHc9IcBjYQQYgfWMgE+uRyYfw+VItxNGtt4sSXDNmUC1XnhKW0lj5I/L6sqaaE+xpL+WRZL6FK8Xh8lZ0ARyh6YwYLJ9Qbg4AyPACDACjAAjwAgwAozAukOAB8QIMAKMwOpCgAn31XU9uDeMACPACDACi0BgpuoYn4BfRNGaWYgEpwT9Ckq5G2WPQC8Fe6mpOY1TkbhfrE55I+cR+YXwrXPWyQmMACNwjRDgZhkBRoARYAQYAUaAEWAEGAFGYMMhwIT7hrvkPGBGAGAMGIG1joCjxVEIerrci4FezCTglzo+X5WLUTq71KKLzq/nj8m8PrkvAzWspeiU1wv9MEr9UkLfH0ONKjmKEWAEGAFGgBFgBBgBRoARYAQ2KAI8bEaAEbj6CDDhfvUx5xYZAUaAEWAEVgCBXPTtyIduR6buvZddm230yDrU4qB0V9oiVTWaPSGJ8YU2B2w9LptfjE75QPGEzFsUmw/uPGpqZCa2GAFGgBFYXQhwbxgBRoARYAQYAUaAEWAEGIF1iQAT7uvysvKgGAFGYPkIcMm1goCjBpGN3QdXCVx2l8tmk6yDpMWlZ4Uts+CpfSkbXQvWvFid8oqbh5k7KOsrmNukyxYjwAgwAowAI8AIMAKMACPACDACjMBiEeB8jMCVQYAJ9yuDK9fKCDACjAAjsIYQIOnwst4ie2wUVl6tjFbRDV8KdMs2FrLKWrPMMp9O+erDUheSmpeVscUIMAKMACOwdhDgnjICjAAjwAgwAowAI8AIrFkEmHBfs5eOO84IMAKMwNVHYD23aBseya3ZK69WxpdwJ33zi8HQ18duzKNT3sh5UvOlYO9iquQ8jAAjwAgwAowAI8AIMAKMACPACDACjMCiEeCMy0eACfflY8clGQFGgBFgBNYRAks5rHQpw9bKQ1CcvNTf7miefvaFyjsVafu5dMpTnUblsNRCcPdC1XE6I8AIMAKMACOwnhDgsTACjAAjwAgwAowAI7CqEWDCfVVfHu4cI8AIMAKMwNVCwDY9lTKLOay0uk/yQFRBqhuFsyAivDqN/EaxnxwsVrqdMvsS7ro9RMFZxsgfk3HF4B6QOhwZYIsRYAQYAUaAEWAEGAFGgBFgBBgBRoARYASuAgLzN8GE+/z4cCojwAgwAozABkFgsYeVEhzB9HOov/j70tQNfxbxkb9GNPm3njv6CIiEp3xkplS/mAsfmEr5yRCJbqtxKRlfi8QPZg9QNvBhqRIGthgBRoARYAQYAUbAR4BdRoARYAQYAUaAEbjmCDDhvoRLUCqVcf7iCIrF0hJKcVZGgBFgBBiBtYLAYg4rpbFY2ZfJkcbW4qADV0tGt1QbQ6pe4qOfh5V+Vqb7Uuola2m61h1fp3xxuk55vdAviXhqcy0dlirBYIsRYAQYAUaAEWAEGAFGgBFgBBgBRoARWOcIbHTCfVGX93T/BXzkZ38XN73zJ/CuH/olPPr4M4sqx5kYAUaAEWAE1hYCvioXY57DSkl6nXSyE9E+1vormGj6BCYbP4pUw8MYb/o4CuF9khAPpZ9DfOiz0k95SWp9KWiUAt0yOx24auYOwjeh1DdkfNHaJl22GAFGgBFgBBgBRoARYAQWhQBnYgQYAUaAEWAErgoCTLgvAPPgcBLv+5FfRUtTAl/4/34NLz/xl3jgvn0LlOJkRoARYAQYgbWIgG30yG7PdVgpJerFfnJQNj1CXAYqFpHqmej9mEw8DFuNQ3MmZErZ2i7dpVi25umUJ8I9MvEYfKOXPYn3QvjWpVTHeVc1Atw5RoARYAQYAUaAEWAEGAFGgBFgBBiB9YIAE+4LXMn/9Q9PoL4uiv/86x/DLXu2I2iZSMSjC5RaJ8k8DEaAEWAENhgCZbNJjthXAyMDMyyjeFbG2BWVLzIwwyJVL5NNH0U2chdsLYF88IYZORYOkrQ9lS8E92CaEUR7Kv5+Pix1YQjViN1dAAAQAElEQVQ5ByPACDACjAAjwAgwAozAYhHgfIwAI8AIMAIrhgAT7gtA+eyLB9He0ohf+o9/gR/8+H/Eb/3h53FxeGyBUpzMCDACjAAjsBYRIAl10o1OKmNqHVZKY5qScNeaKTinobrykbsx0fQx2HrjnPnmS6DymfiDmGai70ApuGO+YpzGCKwrBHgwjAAjwAgwAowAI8AIMAKMACPACKwlBDYs4T5wcQR/9cV/mdPk8kV5HU/2DSAcsvCOu2/Bjz38nv8/e3cCL9X4P3D8O3fvtkobUfoTfhUKpQXti9BGq5REUkqSIlJJkSL0K4nInjZalCSlfiQh2UJCWdo3ab3b/3yfe2ea7p07c+8s986c+fTqzJw5z1me532e+5wz3/OcM/LdT7/JrfeMl5SUVJNeIjle/BmKFYmTmBiHX8v6sz2W8W8/RbpbYnysJMTHUM/8/DuN9P1fmPmPj4uR5MS4iKx7CUmnSVxMjBR37M2R/5JJaZKYcUhi45OlaMmKOdIL05xtZ7bzMQ6H6DEWj0wPHPLukJRgHTOttguzvJthFRwrPWYWSYzlmML5WkjrgMPhkOIY59eY+QOsM8WS4iQ2hrgHx8vgHC9zc0y04h465JYeLtOFf1ElEBNVpXUrbEpqmuw7cCjXISMj3TX3TR2ay/Ut6kvLRnVkwoi+svXPnfLrtu0mPT0jQ/wZrMVEMsSvZf3ZHsv4t58i3U20klHP+DuzGpyCrssZhbDNYJUxNamS/uVITMrOHHUn4/gOk5YeV07SHIk50oOVB9bjf5udYe0hq/rZfN9kUD5rJwf770TbLeuQiW0IbIO9r+y2PqvZEoudumch2G3fhlN5tJJpOxdOeSIv0XA8N99Iad9o30JaB7SWZVgH03BvU0wQkZeoEYjagHvls8rLsP5dcx2SiySZSvCfqpVl21+ZP1CnE9LTMwPxJ7J6uP97NFX8GQ4fSzUNjj/Lhu0yflpQHv/qUF7cjqeky4nUdL/qaF7Wzzyh23eRbpualiHHTqRFZN07nFZG0qy2PvXf33Pk/8Sh30zasZiyOdIifZ/ZJf/W9xnRY6xdykM5Cq6d1WNmCsdM2rZCOJ9NSUuP2GMmbVTBtVGBWusFxUDXwfKRs78LZF/lob08cjxV0tMzOLbkwSpc9lkk5kPP4U5YsY9wz7vGFBmiRyBqA+553cWtm14hL81aIn/t2CMHDx2W1+YuNz+iet45FfO6CuZDAAEEEIggAdcPp6aevNjqzH788T/MaEr82eadFwQQCD8BcoQAAggggAACCCCAAAIIFKYAAXcf+t07NJcrLq0mLboMkfrX95fV6zbKlHGDpEhSgo8lSUbgFAE+IIBAhAhkOJIkNa68ya0zwG4+WC9xabusV5GURALuBoIXBBBAAAEEEEAAAQQQyC7AZwQQiHIBAu4+KkBCQrxMfPhOWbt4qnz49pOyYvZTcnG1c30sRTICCCCAQCQLpMWXM9mPTTvZyz0m7aA40o9JWmxJ0aC8mYEXBBBAIKIEyCwCCCCAAAIIIIAAAgiEWoCAex6FSxRLljPKny4OhyOPSzAbAgjkWYAZEQgzAecjY+KPb3PlLO5E5nhqQiXXNEYQQAABBBBAAAEEEEAAAQTyIcCsCESBAAH3KNjJFBEBBBBAIH8CaQmZj5RxpP3jWjD+RObz2529310JjCCAAAII2EKAQiCAAAIIIIAAAgggEAwBAu7BUGQdCCCAQOgEWHMhCKTFlZOMmCSJS90pjoxjJgfOHu4p9HA3HrwggAACCCCAAAIIIIAAAggEVYCV2USAgLtNdiTFQAABBBAIrkBqbOZz3ONO7DZB99i0gyYIr8H44G6JtSGAAAIIIBDuAuQPAQQQQAABBBBAIK8CBNzzKsV8CCCAAALhJxDCHKVnPVYmNmWrxB//w2zJGYQ3H3hBAAEEEEAAAQQQQAABBBBAAIGCEYigrRBwj6CdRVYRQAABBApO4OQPp/4h8SmZAXdnEL7gcsGWEEAAAQQQQCDcBcgfAggggAACCCDgLkDA3V2DcQQQQAABBLIEUuOzHimTtktiTuw0U51BePMh/F/IIQIIIIAAAggggAACCCCAAAIIFLBAIQTcC7iEbA4BBBBAAAE/BNJjS5pntjvSj0l8yjazhpTEs807LwgggAACCCCAAAJ5EWAeBBBAAAEEok+AgHv07XNKjAACCCCQRwH3Z7anaQDekZTHJZkt7AXIIAIIIIAAAggggAACCCCAAAIhECDgHgLUQFbJsggggAAC4SPg3qM9NaFS+GSMnCCAAAIIIIAAAghEvAAFQAABBBCwpwABd3vuV0qFAAIIIBAEgbT4yq61pGU90901gREE7CtAyRBAAAEEEEAAAQQQQAABBPwUIODuJxyLFYYA20QAAQQKViA1oaxrgyn0cHdZMIIAAggggAACCCCAQGgFWDsCCCAQuQIE3CN335FzBBBAAIEQC2Q4kiQl6QJJiy0jaXHlQrw1Vo8AAhEhQCYRQAABBBBAAAEEEEAAAS8CBNy94JCEQCQJkFcEEAiNwKFS7eRg2d6hWTlrRQABBBBAAAEEEEAAAQTyKcDsCCAQ3gIE3MN7/5A7BBBAAAEEEEAAAQQiRYB8IoAAAggggAACCCAQ9QIE3KO+CgCAQDQIUEYEEEAAAQQQQAABBBBAAAEEELC/ACVEoPAFCLgX/j4gBwgggAACCCCAAAIIIGB3AcqHAAIIIIAAAgggEBUCBNyjYjdTSAQQQCB3AVIQQAABBBBAAAEEEEAAAQQQQMD+ApSwYAQIuBeMM1tBAAEEEEAAAQQQQAABBBDwLMBUBBBAAAEEEEDANgIE3G2zKykIAggggEDwBVgjAggggAACCCCAAAIIIIAAAgjYXyB4JSTgHjxL1oQAAggggAACCCCAAAIIIIBAcAVYGwIIIIAAAghElAAB94jaXWQWAQQQQACB8BEgJwgggAACCCCAAAIIIIAAAgggcKqAHQPup5aQTwgggAACCCCAAAIIIIAAAgggYEcByoQAAggggEDYCRBwD7tdQoYQQAABBBBAIPIFKAECCCCAAAIIIIAAAggggEA0ChBwj7a9TnkRQAABBBBAAAEEEEAAAQQQQMD+ApQQAQQQQKBQBAi4Fwo7G0UAAQQQQAABBKJXgJIjgAACCCCAAAIIIIAAAnYVIOBu1z1LufwRYBkEEEAAAQQQQAABBBBAAAEEELC/ACVEAAEEQiZAwD1ktKwYAQQQQAABBBBAAIH8CjA/AggggAACCCCAAAIIRLIAAfdI3nvkHYGCFGBbCCCAAAIIIIAAAggggAACCCBgfwFKiAACAQkQcA+Ij4URQAABBBBAAAEEEECgoATYDgIIIIAAAggggAAC4S5AwD3c9xD5QwCBSBAgjwgggAACCCCAAAIIIIAAAgggYH8BSoiATwEC7j6JmAEBBBBAAAEEEEAAAQQQCHcB8ocAAggggAACCCAQDgIE3MNhL5AHBBBAwM4ClA0BBBBAAAEEEEAAAQQQQAABBOwvQAmNAAF3w8ALAggggAACCCCAAAIIIICAXQUoFwIIIIAAAgggUFACBNwLSprtIIAAAgggkFOAKQgggAACCCCAAAIIIIAAAgggYCOBXALuNiohRUEAAQQQQAABBBBAAAEEEEAAgVwEmIwAAggggAACwRQg4B5MTdaFAAIIIIAAAsETYE0IIIAAAggggAACCCCAAAIIRJgAAXc/dhiLIIAAAggggAACCCCAAAIIIICA/QUoIQIIIIAAAvkVIOCeXzHmRwABBBBAAAEECl+AHCCAAAIIIIAAAggggAACCIShAAH3MNwpkZ0lco8AAggggAACCCCAAAIIIIAAAvYXoIQIIIAAAp4ECLh7UmEaAggggAACCCCAQOQKkHMEEEAAAQQQQAABBBBAoJAECLgXEjybjU4BSo0AAggggAACCCCAAAIIIIAAAvYXoIQIIBC9AgTco3ffU3IEEEAAAQQQQACB6BOgxAgggAACCCCAAAIIIBBCAQLuIcRl1QggkB8B5kUAAQQQQAABBBBAAAEEEEAAAfsLUEIE7C1AwN3e+5fSIYAAAggggAACCCCAQF4FmA8BBBBAAAEEEEAAgQAFCLgHCMjiCCCAQEEIsA0EEEAAAQQQQAABBBBAAAEEELC/ACWMfAEC7pG/DykBAggggAACCCCAAAIIIBBqAdaPAAIIIIAAAgggkAcBAu55QGIWBBBAAIFwFiBvCCCAAAIIIIAAAggggAACCCBgf4HIKCEB98jYT+QSAQQQQAABBBBAAAEEEEAgXAXIFwIIIIAAAgggkCVAwD0LgjcEEEAAAQTsKECZEEAAAQQQQAABBBBAAAEEEECg4AQKK+BecCVkSwgggAACCCCAAAIIIIAAAgggUFgCbBcBBBBAAIGoEiDgHlW7m8IigAACCCCAwEkBxhBAAAEEEEAAAQQQQAABBBAIrgAB9+B6BmdtrAUBBBBAAAEEEEAAAQQQQAABBOwvQAkRQAABBGwnQMA9wF165ulFxJ+h/GlJEhcb49ey/myPZfzbT5HuViI5XooViaOe+fl3Gun7vzDzXyQxVkoXT6TuUfcKvA7ExjhEj7GFWf/tsu1oK0fJovFSNIljZrTt93Aob3JinJxWPKHA28twKDt5KLjvKDEOh5zBeQl/ZwVcB8qVSpL4OOIetHWhbes07lHcin2Eu7PwL6oECLhH1e62RWEpBAIIIIAAAggggAACCCCAAAII2F+AEiKAAAIRKUDAPSJ3G5lGAAEEEEAAAQQQKDwBtowAAggggAACCCCAAAIIeBYg4O7ZpcCmHjx0WHbtOZDr9k6cSJGdu/dLRkZGjnmOHjshf+/YI+npOdNyzMyE6BDwUMrUtDTZvmufHLfqkodkU3927N4nOl/2dK1be/YdFK2n2dP4jIA3Aa0zoW7b9u7/R3Twlg/SIlvg123b5fMNP+arEL6Ojdqu5dbmaTvorb10ZuTwkWOmXdV1Oafxbg8BX3VA93lu9UfT8nLMpP7Yo64EsxSBtFvUu2DuCfuvKy/15dC/R2T/wUMeMXyd3+lCug1tJ3U9+pkhugW0Pvg6Nmpdoc75WU9svNhv1veAdRs2eS1hIMdPX+d8zg1z3uaU4D2/AgTc3cRGPPGSVG90i0x+ab5r6j/WCYdO+3P7bte0YIzoQad192FS//r+0vjGQdKm53BZ9MGnrlVrgH3qKwukVovbpUnHe+Tq9gNl4w9bXOkDHnxGLm/VR5p3GSINOwyUJ6fNdqXpiK5P8+0+TJ35riYxFLKAs545943uqxlvLck1IB5Idl94Y7Fc0rS3NOs0WC616tLgUVPk4D+HXav8eO1GueLaO6Vpx8FmvtmLVrnS1n7xvUlr2OFuU09vGfS4fPfTb6708VPeMn8vznLoe/e7xrrSGQlPgbfeXeHab0MeeS7omQx126Yn7Vqvr2o3wLSLrboNDXoZWGHwBfQYqm1E9uHpusceLQAAEABJREFUF+Z63dhqq42a/sYir/O4J/o6Nnpr87ReeWsvdTu6vB6767Tua9rVX37/SyczhFBAz4203mSvK2/MX27aMt1vwdq8rstbHdD97+8xU/Ooy0dL/dHy2mVIS0sXPeZoPdQgYrDLFUi75etcTfNKvVOF8ByaWN/xtF65BxqPHT8hta/pa9o3PecJZs591ZcjR4+J1se61/WTK9sOkK79xoie12ke9F3br9y+u+o8GjQd/tgLclGTXua7xciJL+tkhjAWcNY1rYe//Bb8cxrqXBjv/ALO2k9b/jDtmtY1rXd52fyadd/I868uzHVWba+8xcT0+JfbeZuvcz7dqC6v7R7n/arB4I8AAfdsaqVLFZdp1h+1nlRokga+9T3Yg55AtWt1payY85R8tniqtGpcRx6Z9KroFTrd1tff/yJTXn5HXps8XL5e/qK0a3WV3DPyv6Y3sqZfcG4leeelR+XLZdNlzNDe8tKsJfLtpl81yTUM7H2DLHl9vGvo1r6ZK42RwhVo2ai2fDBrosx78RHpfkNzmfn2UrlvzHMee5kHktNSJYvJjKeGyhfvTzf1Zf3XP8o7S9eYVWpd04DrXbe2l40rZsgzYwbI6CdnigbGdAZHjEMevqeHfLpoinw0Z5IUTU6y6uTJizb6t9Gofk1X/dK6NnHknbpouA7kyxK48bpGsu6956Sj9a7tkDUpqP91ne1C2LZNmj5HXp2zTPr2aCtr3p0si14dF9T8s7LQCrw48T5Z/OpjrqFHx5ZB3aC3Y6OvNs9be6mZXPXp19LvgUnSomFtk/9PFvxXzj6znCYxFICAfjHSnpW6qZTUNNEL1ToezMFbHfBVf3wdM6k/wdxTBbuuL7/5WfYdOCT6HeH9lZ8HfeOBtFvUu6DvjkJZ4VvvfuTa7nsffiYa+HZNCOKIr/ry5jsr5Odf/5SVc582309jY2LkmRfnmRz4Or/T9F73jJctv/8tT43qJ+uXPi/333WTWZaX8BVYNe9pc04TqhxS50IlG3nrrVrlLPMddNwDtwct83k4fkpusQ5v53yaQc7bVIEhUAEC7tkE21qBohoXVMn1i5x+2Xvw8RdNzwPtlaC90FPT0kyv4c53jD6lB/DuvQdEp237a2e2rYiUK1NK+nS/XiqULS3FiyVLm5YNzMnVps2/m3k/+t8GqXd5dbn0ovMlPj5Obr6xhXm0zE9btpl0bTjO/7+zJCkxQTToWb7sabL2y+9NmvOl7OklpfJZ5V2DNirCv7AQSC6SJBUrlJELz6skndo0lpnPPCBrv/hBFrz/ieg/DWa/veAj0SuqV7UbIBpkdO9V9dW3P8vNA8aZetj+1odk/pLVuliOQYOqdS+tJkWSEkTrS6P6tWT1ZxvNfJ9v2GTqXNe2TSQuNlaaXXWZqSsfr/3apOty17eoLyWLFxWtX60a1THLan2XrH9ad93rmNbnrCTewlQgPi5WihUtIgkJca4cHjj4r+nFpL0NdLhl0OPy05Y/XOnaw2n664vkxttHmjqnd9Ro8Mk1g9tIuTKha9u0TdWLi4Pv6CQ3dWhmgh/UOTf8CBg968yyUqXSGa6htHWRW+vS4/990/Qg1Tt+tOeyTnMWZ+++g+I87rbsep98sv47Z1KOd2/HRl9tnrf2UtvkZ16cK9omDrr9RpN/PaZq25ojE0wIusB/qlY250NzFmXehbX84y+kbOlSUqtGVde2vtj4k7lbUNswHYaOmSZ6zqYzaK89PR/b8N1m0Tu9crsby1sd8FV/vB0zqT+6FyJ3eG/FWvO338067ix4/3+nFETbLh363DfR9NzTurXtr11mntzrnUl2vQTSblHvXIwRO6LnMy/PWir6yIK0tHTR862bOjQ/pTyvzf1A9PinPUP1e8HUme+ax43qI9e0zh05etw1/8drN8ptQya4Omm5EqwRb/XFSha9oHTjdQ3N91Q9x7/5xubmO4a2Yb7O71ZZ3x82bd4qT4zoKy2t7wzJRRLNenS9DOEroB2qdF87c6gXtPV4ufXPk/ELrW9aB3Uebdf0+8DM2e+bOqn1cvbClZrkcaDOeWSJyokxMQ7zHbRIUqKr/L7qm2vGXEYCOX52vK6RaP0s4iFOom0e5/25oDM5XwIE3LNxOcQh9/TpaHpQbt+5N1uqyNinXzM9ySdYJxN39WoveoL09oKVUrJEUTPMX5LZe1gXXPrROjl67LhUqlheP3odtOexznDO2Wfom2zftVeqnF3BjOuLnuTou6dnIusBcefu/aJX+HQe5zBn8cfy0PgZogdJT0F/53y8F77AuZXPlKuuuEg0kK65WWLVnYnTZstdvTrI9AlD5Lc/trt6l+u+1GD7OVb9mD7hXtEeou6PG9LlPQ16QPtk/bdS3bqgpOk79+w3AfaEhHj9aAbNx45d+8149pdPvvhONOihwXlnmgYg9NbRCVNnifYAc07nPbIEtPdJy0a1ZcaT95m7asqdXsoEOJ2l+OaHLbJ4+Vq5tUtr0bZvlnUx6IuNPzqTvb4Hs2375ofMu3i++/E3c8FJv1Au/CDzIpXXTJAYNgLz3lst+qVNh7eteqQZG28F2zd8u1kmPHynPDjoZnlj/ofy4eovNMkM2tuuQrnSMtFK/z+rrRzxxAwz3ddL9mNjftq87O3lfuuilObj8OGj0nfYk6b+TbUCHnrrv698kB4cgdu6XSvPv7bIulB8XF54Y5Hc3v26U1acZH1h6tXlGtOG6bHxx1+2yYw33zPz6LmYPhLt3tFTRY9zjRvUMtO9vWSvA/mpP7pe92Mm9UdFInPQv/ElK9bJtU3rinY80HZAB2dptJ1578O10vTKS02v3n8OHbbq6UKT7E+90/W5n9NT7wylrV/qX17DnI/Pe+9j+fizjZJonZc3rl/zlDKXL1taht3VTd59+VEZPaSXTLGOP6s/+0YurvZ/poPEcrdj5itWILSadZFSg1unrMTDB/d2SpO1/rl/bz076y4ufcSqprsP2c/v9LN2KHrRane1o8bAEc+e8jhU92UZD1+BjPR004FQ2y9nLvXuZ22L9LNO1wsrX1oXuR+yztl6dmolo596xXWBW+fxNlDnvOlEX5qv+pYfEW2//D1+Zj/ni5rztvwAM69fAjF+LWXzhepeVk1q17zQOmFedEpJjxw9Ju+t+Mw8yqCRdSLUofXVcsO1V8vcxavMfB2vbyQaQHD2zJtrBby7tm9q0ry9bP7tTxn37BtyZ4+2psemzqsn7EmJiTrqGvQk5t8jR12fdUR7Qwx6eLJoT/gr61ykk8ygjyy5uu7FcmaFMvLRJxvkhttGigZqTSIvYSmgJ7jaa0Az99Y7K6RFw8ulSqUK+lEa1atpep2kpqXJwmWfmnryyH29TO++9tdcZU6+zYxeXh59+lU59O9Rc7eEzqZ1TOuUjjuHxMQEa54jzo+u90UffGp+Y+DeOzq5plU//xzRbWvg/4/tu6THwHGybNXnrnRGIkdA72Lo3KaJHD1+QjZ+/4voRRg9mXYvwWirvrVueoW5o6bJlbXksy9/cE/2OB7sts15l0eZ00tKr86t5LKLz5cHxr1g2mWPGWBi2Ano49I+++oH0UEv0unxco51DNW7y7QeliiWLA1q15Dla04G3OtdXl0G3NpBGta7RMYMvdXc7eXreObp2JifNi97e7lz9z5jefppJaVD64bStmUDefnt9+XxyW+a6byEXuCqKy6WM8qVFg2aHzl6XBrXPzVorncn6nmQfuHSi3IlSxSTLVv/PiVji155TPr3ai+9u7Y+ZbqnD9nrQH7qT/ZjJvXHk3BkTNPnx2pOtRdclUpnmI4HS6zvAjrNOWjHh85tm5hevf17tTN3A2rvOGd6XutdoO2WXeqd0y1a3h0Oh+hdz/rYLL2Qe0ePNqIdIdzLr98JKlcsJz9u3ia//7nDfA/Q9yTrvL1ruybypnWhWuf/NesHBvXxgfrZ25C9vmidPWJ919V1OpfT4L+OHzlyTN9cg6fzu7927Db5qnZ+ZbndukCalJAg3fqNEf3RQ9eCjNhG4NlHB4oel7u1b2r2+1ff/uyzbNQ5n0TM4KdAoMfP7Od8nLf5uSNYLIcAAfccJJkT7r7tBtEgwNY/dmROsF537s7s+Vv9gnOsT5n/9Qven9v3mA8N614iGsD86JOvRHtS6Re91k3rmrTcXv7asUfuGPqkaADrzp5tXbOVKF5Ujp844fqsI3oSVCy5iI6aQQMV+lz3tLR0mWwd9GJjT+7O/tYXSg3g97PW+dbUEVK8WBFZseYrsxwv4SmgtyCff+7ZJnNbrZPpLzb+JGOfed0MeufEBVaaPvpDg9v1rYCUw+Ew8+blZerMd0UvAL00aZjr9k6tY1qn3Jc/bgVc3W8r1DR9fMP946bLyME9zWOOdJoO17eob4Jg+iXh2TEDRT87nw+v6QyRI6AXelp0udc8w/+HzVt9/paABkWPHDt5+7KnkoaqbdPeqdq2NbnyUnORUuudPl7CUx6COI1VBUlAA+ZTxg0SHfS28x27Mu8km79ktWnrtM3bZAUU3O+kcd90mdIlzXE2+wUh93mOHjthfvMk+7Exr22ep/bSuf6B1rmBBj70lvsHBnQzF3s0SCH8C7mA9ta8/abrTDDzjpuvF/dzHt243lXY6IZB8vq85fLH37tMepp1kVrTnIM+4sA57u3dUx3Ia/3J7Zip26P+qEJkDYuWfypJifEybvIbphennjdpT2RtXzyVpEqlM83z3nfvPehKzku9C7Tdot65uCNypMmVtcyxbd+Bf6RFw9o5yqCPLWpzy4PywcfrTf2Kj4+TdOv7n86oxyP93qnHxXmLPxbtFFbJCs5rWm6Dp/ricDhMHo6fSHEt5hxPTk5yTcvt/E5naGKdm3Vt19T6XnupPDa8jwnErs1DBw1dliFyBfS749Gjp8YtspeGOpddhM/BEgj0+OnpnM+ZN87bnBJR+R6UQp+M0AZldfZZiT4XVE9Y/vvyO65ClS5Vwoy7X6n/3QrI67PSNUF7hXZt10T0ZGfhsk9EfzhQe+xpmqdBg1xd+o42V4fH3n+b+XLonO+McqeLrtv52fkoGeejZfTWvjvvf0oO/nNYXn12uOizZJ3zZn/XkzJ91qn2Xs2exufwENAeKdqLqk7NC02G9NbR7jc0l9f/++Apgwabyp5eSjb9vNXM5+tFf8BIH/eiPTHnTB8lF11YxbVI+TKnydY/d0pKSqprmt4mXaHcaa7P2mNdn0v66LDe5lnzrgQPI/os7cNHvAdhPSzGpEIS0FvnnJueZwU7zz2nomgvPL1VuWu7ps4kv95D1baddUZZ02PVPe+pqWmSknqyDvuVYRYqNIHSp2UeV/WOHff27qlR/T3mSe9yOHL0mJxWMnO57DN5Ozb6avO8tZd6t5hu608rkKvvOmjd07xkZOgnhoIQaNW4jmiw/dpm9XJs7rlXFpje669NHi7DB3YXvcsvx0w+JnirA77qj646t4l8yAcAABAASURBVGMm9Ud1Im/QTg7aWUUDoGWti306aB3cd+CQ6xGA2Uv10y/bzKRSJYqa97y8BNJu6fqpd6oQ2YNeZH54cE/RczD9rR330uzd/4/oY9i008zksXfLkL6dRX+XyTlPpYrlzZ1hr8xZJrMXrZIubZs6kzy+51ZfdGb9XSb3O8j04qVO144W+u7t/K5yxQry27a/dTbXcOx4ipxIORnAdyUwElYCKda5tGZIL2Q7YjLDQ+7fDzUtkIE6F4ie/ZbV82dnqQKtb4EcP72d83He5txDvAcqkNmiBroWmy6vz2jXq7HO4ulz2jUQP2vBCtHnu//w8++iPV+aXnmZcxbziI11GzaZZ9DecG1D1/TsI/qDhG17PSj1Lqsu+lxS7T2vPQb2HzxkZm1yZS3zw3BffbvZCialyatzl4n+cOUF51aSI0ePS/f+j8quPfvlkaG3ymEr+KDLbt+Vecu7nijpD5loYEIPoPrsZe35cEWt/5h181L4Akey9pn2RtEfmuk5cJw0rl9TnEGEFg0vNz+a9O2mX0V7UWnv96een20yfmXti0zQ8e0FH5m6oHdSvDb3A5OW/eXhCS+J1gUNXunt9VpPdEhNSzOPTdL533p3henR/OGaL0Wf0dewXk2dLAusi0aDR02V++/qJnWsuqPL6aB51xn0h1y3/P6XqZ9av/S5y3o7v6YxhKeAtlsHDx02+/nT9d9J3Usz24RiyUny7+Gjou2PzjPH+sLmbwlC2bbVuqiq6X31/KsLzd+F/naB9mptYP1N+JtflguCQACr0IvSemx6bPKboscwPWZpe6KBA+dqNeilJ9R79h2UF15fbHrM1bjwHGey6/2Ij2Nj7awLmrm1ed7aS82n/s6GXoQ/YrXf2ibr8+ibX325xMTk/W4jV2YZ8UtAOxAM7H2DecZx9hVoD/Tdew+Yx6LpsXXZyvXZZ/H52Vsd8FV/vB0zqT8+6cNyBj0vKl2quLmA0++WdqKD1j+tC/pbO85M67nToX+PyIbvNps7LPSxjtoJx5nu7f1IgO0W9c6bbmSlNahdw3TCyp5rbfd02t879sjhI8dEfxT1y2826yTX0KVtE9HHdWh9rX95ddf07CPe6ovOq3VXzwG1o5eeF742d7l0aH21OBwO86x4b99dm119maxZ9635/qrB2vlLV1vfU46JHuN13QzhJZCWlm5dINlu6pQGxLVTiz4mVC/46KNqV/zvK9FzL61va9Z943fmqXN+09lqQf3+qe2Kvn+45gtXWxdIfQv0+OntnI/zNltVv0ItjG0D7v6qWucTrkX/U7WyeR6ja4I1orfD/71jrzTrfK907DNKzqtSUfq4/XCXPt9RD1LaQ6BWjfOsJTz//zXruaL6TPhW3YZKiy5DzDB+yltmgZrVz5O+PdrIzQPGSs1mveXtBSvlyZH9zBd7PanXIKv2Tu7Qe4RZTpfv1GekWVZfXp2zTJp2HGyWHTb2eRnWv6t53rGmMRS+wLJV681+6zHwMdHeKL27Xit6l4MzcHNLp1ZyXfP60uXOR+TiprfKNTcNlW+s4LvmXH9j4L5+XeSRSa9K7WvukDY9h8uBf/7VpBzD+q8zf9iy77Anzfa0nujw1/Y9VuAyUSaPvVu0zl3StLfcPWKyPDToZtETLl2RBjP1XW9j1WWcg+Zdp+szvPX2Vq2fne8YLXqRoGenlprEEKYCby9cKfWv7y8tu95n2gOtY5rVDlkXBxt2uFu0bduz74BO9jo4HJ6DjKFs27SH1bNjBogGY/XvQp8Nqs+O7NSmkde8khjeAnrbebGiRaRZp8xjlrYnB51tmlXN9FhX77p+ovVz4QefWsfC/lb7dfL2dmfpfB0b9bEO3to8b+2lbuOhQT1Ee7bWvqavaZOLWheqtM3UNIbCF9DH8umP7da16ooeWzVI5XDEZGYsl/YqM/Hkq7c64Kv++DpmUn9OOkfKmAaK9LdqtNene56va1bP/JD4iaxHbyxZsU603nW/a6xou6B3WJj581DvAm23qHdG2tYveu4z+I5O8tD4GVKndV95ctrbooF1h8M6QGaV/Kq6l5gxvTs2e301CVkvvupLt/bNRH+cvPGNg+SKa+80d8Hqb6jo4r7O7y6pdq7pfa93xtZsfpuMmjhT9A5Z/T6tyxfEwDbyLnDs+Am5rscDpk4teP9/cv+AbuJwZNYp/Z0kfXSWnnuNn/Km6B3WDnFkrjxrnswPJ19zmSzUuZNG0Tymv62j7Yp+D9WLef1vOfkoZW/1zeHIqnce8AI9fno759PNcd6mCgyBCmR9Ewl0NfZYXoPpekLjXpqnRvWT71fNFGcQUgPqC18ZJyvnPi2fLppinkOrzy0Tt396O/OS18eLw5F7A3FNkyvMenXd7sPjw/uYNTkcDvN87C+XTZflsybKuveek1o1qpo07enuvoxzfM27k0263lq4YvZTsvqdZ+X9N5+QjStmiP6gk0nkpdAFtJ4599n6pdNk7guj5ZbOrUSDA87Mac8ovUii++6jOZPki/eny8yn73cmiwbkv1nxkqmHGz54wdQVV6LbyLK3JnisZ3pBSGdr0qCW6Ho+sOrY18tflK5ujxJ5+J4eHpfVL5+67NvPj5TPFk+VpW+MN/kbe/9t4v5DSzoPQ3gJ6G9TfLLgv/KVVWfGPXC7FbRMNBk8o1xpUw+1rVm/9HmZNv5es+9NovWi9dXZ/lgf5cG7bxatHzqefQhl26bbqnd5dVm7eIponV2/dJrJi96KrWkM4Sugx1CtR2efWS5HJvWY9tzj94ge77S903ZPe5HqjNrW6X5eb9VLPZ7pvq9T60JNyjHoenQb2QfnsVEX8Nbm+WovtQzaXuvxX9ept/frl1Bdr5eBpAAF9Hca1N3TavQxRPpcd03T3qEr5z1tznv0/EzTtF5pmj5OTeuFw5H7eZnO56sOeKs/2ibqNrIPzmMm9UeFI2vQ8/ns3wu0BPrM7PXW8UfP1fSzdrxZb7VRa61zIvd2IS/1LtB2i3qneyByBz3mNayXGSx3L0XdS6uZ8zBnR5zeXVvL50umyYfW9zv9HqptlX53cC7zVdYPVrZp2cA5yeO7r/qiF4y03dQ29OP5z4ie6zsfZ+rr/E432KvLNeZYrsfrrz+cYe781ukM4Seg+1rPu/63YLK889Kj0rh+LVcm9Vn8ejzV+qkxDU2/t28nk+6pXdN5tH6YGbK9UOeygUTpRz1H07iBxrSmTxgi555T0SXhrb7dfGML0eOqa2a3kUCPn9qOZj9n08/OOAnnbW7YjPotQMDdTzo9+dBbTfxcPM+LaQBTnyHlPOHK64IOh0NOP62EaHAjZzBK+BchArrv9GBSJCkhR461B4vWQ+cXvhwz5HGCrqdihTKnBPzzuKjoxSa9wOMpf3ldB/MVnIDD4ZBSJYt5fByD5kLbGu3FqeOhHvxt2zRf+nehdTa5SJJ+ZLCJgNYJbe90/2YvktbLYB3PAmnzNF/a7pYuVVxHGcJMQOuO1hO9RTlUWaP+hEo2sterbZT2RA5VKah3oZKNnPVqgFQ7SHjKsd7Z3KlNYwnWd1Ndj78XlPVYHup22JMB03wJ5EzXfXVaSc/nM3o81XOynEuFZgp1LjSu4bRWjRvoHa2e8hTK+sbx05M40wpKgIB7QUmzHQQQQAABBBBAAIGTAowhEOEC+giPq7Me5xHhRSH7ESqgz+JudtVlcnu3ayO0BGQbAQQQQAABewoQcLfnfqVUAQiwKAIIIIAAAggggAACvgQa1K4hF5x7tq/ZSEcgZALae1MfXaV3KYZsI6wYAZsLUDwEEEAgFAIE3EOhyjoRQAABBBBAAAEEEPBfgCURQAABBBBAAAEEEEAgQgUIuEfojiPbCBSOAFtFAAEEEEAAAQQQQAABBBBAAAH7C1BCBBDwV4CAu79yLIcAAggggAACCCCAAAIFL8AWEUAAAQQQQAABBBAIYwEC7mG8c8gaAghElgC5RQABBBBAAAEEEEAAAQQQQAAB+wtQQgS8CRBw96ZDGgIIIIAAAggggAACCCAQOQLkFAEEEEAAAQQQQKCQBQi4F/IOYPMIIIBAdAhQSgQQQAABBBBAAAEEEEAAAQQQsL8AJSTgTh1AAAEEEEAAAQQQQAABBBCwvwAlRAABBBBAAAEECkCAgHsBILMJBBBAAAEEvAmQhgACCCCAAAIIIIAAAggggAAC9hDwFnC3RwkpBQIIIIAAAggggAACCCCAAAIIeBMgDQEEEEAAAQSCJEDAPUiQrAYBBBBAAAEEQiHAOhFAAAEEEEAAAQQQQAABBBCIHAEC7v7uK5ZDAAEEEEAAAQQQQAABBBBAAAH7C1BCBBBAAAEE8iFAwD0fWMyKAAIIIIAAAgiEkwB5QQABBBBAAAEEEEAAAQQQCC8BAu7htT/skhvKgQACCCCAAAIIFKrAslXrZe0X3xdqHtg4AggggAACUSBAERFAAAEEsgkQcM8GwkcEEEAAAQQQQACByBFYt2GTVG90i2z7a9cpmR4/5U15ff7yU6YV9IepryyQq9oNKOjNsj0EEEAAAQQQQAABBBAoRAEC7oWIz6ajVIBiI4AAAggggEDQBDLSM7LW5XzP/Pjuy2PliYf6Zn4opNeM9PRC2jKbRQABBBBAAIGwECATCCAQlQIE3KNyt1NoBBBAAAEEEEAg8gV27t4vj0x6xRRk8Kip0v2usTJq4kzzedL0OfLmOx+acX0Z8cRL8vQLc+WJKW+ZXufa83z664tkz76D8uDjL5ppne8YLe+t+Exndw1b/9wpAx58Rmpf09fMM/yxF2TfgUOu9I0/bJE+9010pd95/yTRaWvWfSOzFnxk5tV86TB74UqznOa1Zdf7TM98zcf946aLlsUkWi/+5PXosROm/DNnvy8DRzxr8qPbeGfpGmuNOf8zBQEEEEAAAQQQQAABBEIjQMA9NK6sFQEE/BNgKQQQQAABBPIskFwkURrUrmHmb1y/plzbrK7Uu7ya+fzjL9tOeczMps1b5YU3FssP1nvfHm2kQZ2L5JkX50nDDnfL3v0HpW+PtlK+3GkydMw06/M/Zh279hyQ1t2HyYF/DsvD9/SQ2266TjSQPvyx6SZ9/8FD0q3fGDmRkiqPDrtV7unTUTIy0mX91z/KmRXKyH+qVhb9p/nSoer/naUfJTUtVTq3bSyTRt8ld/VqL598/q08OP5Fk6Yv/uQ1NTVVNny3WSZMnSUlihWVO26+XlclD42fIV99u9mM84IAAggggAACCISRAFlBwLYCBNxtu2spGAIIIIAAAgggYG+B4sWSpemVl5lCXt+ivnRt11RaNqpjPnt6admotrw8aZjc1KG5jBna28zSqU1jmTb+XmtaMxk77DYzbd1Xm8z7K7Pfl+QiSfL8E4NF19+zY0vpbwXI16z71gTlnc+N79quidluh9ZXZ62ruZxb+Uy5pNq5UrpUcZOvrlbeatWoatb77JiBcmuX1tKw3iXS0LpQ0Kb2ZfUFAAAKRUlEQVRFA/MDr2lp6SZdX/KbV11Gh5H33mIF/3vLbd2ulfkzxugkWbjsE/POS14FmA8BBBBAAAEEEEAAAf8FCLj7b8eSCCCAQMEKsDUEEEAAgYAESpYoJg6Hw6wjPi7WBMNLFi9qPuuLBvD1fefuffom3//8uxw5ekx6DHxMbrx9pBlenrXUpOk81apWNuvQR8ToY1xemrVEtu/cK0WSEsw8ub0sW/W5tL/1Ibm0xe3StONg0cfA6Lzpbs98z29edXkdiiUX0TczFE1OMr3st/2103zmBQEEEEAAAQQQQCBCBMhmRAsQcI/o3UfmEUAAAQQQQAABBPwViI+P87ro0aPH5eJq58rdt93gGh4adLNMGz9YzjqznOjyi1973PR6/+fQEXly2mxp1vleWfnphlzX+8n670QD9NXOP0femjpC1rw7WUYP6ZXr/M4E3ZZzPD/vaWlpEmddXMjPMsyLgDcB0hBAAAEEEEAAAQS8CxBw9+5DKgIIIIBAZAiQSwQQiFKBxMR4U/LjJ1LMezBfzqtSUbQn++WXXChXXXGxa7iyzkVSoliy6CNgtId8v55tZebT98unC6dI5bPKy/z3VptsJCYmyLHjp+ZLn++uiaOsILsG80uXKi6xsaE5Jd+z76D8/OufUrXKWbpJBgQQQAABBBBAAAEE7CAQ9mUIzdl92BebDCKAAAIIIIAAAgjYQaD6+eeYYsxZtMoEl4P5A6Hdb2huBdz3y+BRU2TjD1tky9a/5b0Vn0nHPqPkwMF/Zc26b6TvsCfN89e379onP27ZJlv/3CmVz65g8lSn5oXmkTTvLF0jP235w+TP+Rz3N+Ytl+9++k1mL1wpTz0/28wfjJfV6zaavOpja/o/8LRZpf5AqxnhBQEEQizA6hFAAAEEEEAAAREC7tQCBBBAAAEE7C5A+RCwsUBCQrwM7d9Vln60zjwXfcJzszyWNjYmxuN0TxMdDoeZ/J+qlc3jY361Au3d+o2RNj2Hy9Ax06RM6RKivdfPrFBG/t6xV24bMkGadRosQ0ZPlY7XNRLt8a4rqH5BFbm+RX15aPwM6dB7hGgQvEGdGnJt07qi+ex8x2iZ/NJ8qVn9PJ3dNcTG5D+vzoU/37BJNK/62Jq/d+6x8n+vVKpY3pnMOwIIIIAAAggggAACCIRYIO9n8yHICKtEAAEEEEAAAQQQQCBQgZ4dW8rKeU/LijlPyWuTh5vV6fPRxwy91Yzry9vPj5SRg3vqqGv4aM4kGXT7ja7POvL9qplyS+dWOmoGfZTMsrcmyKeLpsgHsybKhg9eMEHsIkkJcv7/nSULXxknny2eKjrP6neelVFDbpHkIklmWX1UzOPD+8j6pdPk4/nPyF292ktcbKw8MaKv6ONnlr4xXlbNe0Ymj71bdLvx8XFmOX/zqgsP6dvFbG+V5bHm3cly1RUX6WQGBBBAoNAFyAACCCCAAALRIkDAPVr2NOVEAAEEEEAAAU8CTLOJgAayK5QtbQLaoSiSPqu9YoUyoj3qs6+/eLFkOeuMsuJwZPaMz56uAfgypUuekl6yRFHT81yD8tnnD/Szbq/s6aUCXQ3LI4AAAggggAACCCCAgB8CBNz9QCuYRdgKAggggAACCCCAAAJ5E4iNjZUaF1QRDeTnbQnmQgABBBAIHwFyggACCCBgJwEC7nbam5QFAQQQQAABBBAIpgDrihiB5CKJoo+iaVC7RsTkmYwigAACCCCAAAIIIGBHAQLudtyrUVAmiogAAggggAACCCCAAAIIIIAAAvYXoIQIIIBApAkQcI+0PUZ+EUAAAQQQQAABBMJBgDwggAACCCCAAAIIIIAAAjkECLjnIGECApEuQP4RQAABBBBAAAEEEEAAAQQQQMD+ApQQAQTCUYCAezjuFfKEAAIIIIAAAggggEAkC5B3BBBAAAEEEEAAAQSiVICAe5TueIqNQLQKUG4EEEAAAQQQQAABBBBAAAEEELC/ACVEoLAECLgXljzbRQABBBBAAAEEEEAAgWgUoMwIIIAAAggggAACNhYg4G7jnUvREEAAgfwJMDcCCCCAAAIIIIAAAggggAACCNhfgBKGUoCAeyh1WTcCCCCAAAIIIIAAAggggEDeBZgTAQQQQAABBBCIcAEC7hG+A8k+AggggEDBCLAVBBBAAAEEEEAAAQQQQAABBBCwv0CgJSTgHqggyyOAAAIIIIAAAggggAACCCAQegG2gAACCCCAAAIRIEDAPQJ2EllEAAEEEEAgvAXIHQIIIIAAAggggAACCCCAAAIIqIC9A+5aQgYEEEAAAQQQQAABBBBAAAEEELC3AKVDAAEEEEAgTAQIuIfJjiAbCCCAAAIIIGBPAUqFAAIIIIAAAggggAACCCAQPQIE3KNnX2cvKZ8RQAABBBBAAAEEEEAAAQQQQMD+ApQQAQQQQKAABQi4FyA2m0IAAQQQQAABBBBwF2AcAQQQQAABBBBAAAEEELCXAAF3e+1PShMsAdaDAAIIIIAAAggggAACCCCAAAL2F6CECCCAQJAFCLgHGZTVIYAAAggggAACCCAQDAHWgQACCCCAAAIIIIAAApEnQMA98vYZOUagsAXYPgIIIIAAAggggAACCCCAAAII2F+AEiKAgB8CBNz9QGMRBBBAAAEEEEAAAQQQKEwBto0AAggggAACCCCAQHgKEHAPz/1CrhBAIFIFyDcCCCCAAAIIIIAAAggggAACCNhfgBIikIsAAfdcYJiMAAIIIIAAAggggAACCESiAHlGAAEEEEAAAQQQKDwBAu6FZ8+WEUAAgWgToLwIIIAAAggggAACCCCAAAIIIGB/gaguIQH3qN79FB4BBBBAAAEEEEAAAQQQiCYByooAAggggAACCIRWgIB7aH1ZOwIIIIAAAnkTYC4EEEAAAQQQQAABBBBAAAEEEIh4AZ8B94gvIQVAAAEEEEAAAQQQQAABBBBAAAGfAsyAAAIIIIAAAoELEHAP3JA1IIAAAggggEBoBVg7AggggAACCCCAAAIIIIAAAhEhQMA9oN3EwggggAACCCCAAAIIIIAAAgggYH8BSogAAggggEDeBAi4582JuRBAAAEEEEAAgfAUIFcIIIAAAggggAACCCCAAAJhI0DAPWx2hf0yQokQQAABBBBAAAEEEEAAAQQQQMD+ApQQAQQQQOCkAAH3kxaMIYAAAggggAACCNhLgNIggAACCCCAAAIIIIAAAgUqQMC9QLnZGAJOAd4RQAABBBBAAAEEEEAAAQQQQMD+ApQQAQSiTYCAe7TtccqLAAIIIIAAAggggIAKMCCAAAIIIIAAAggggEDQBQi4B52UFSKAQKACLI8AAggggAACCCCAAAIIIIAAAvYXoIQI2FGAgLsd9yplQgABBBBAAAEEEEAAgUAEWBYBBBBAAAEEEEAAAb8ECLj7xcZCCCCAQGEJsF0EEEAAAQQQQAABBBBAAAEEELC/ACWMVAEC7pG658g3AggggAACCCCAAAIIIFAYAmwTAQQQQAABBBBAIFeB/wcAAP//um+qdQAAAAZJREFUAwCj8qLgY8dGKAAAAABJRU5ErkJggg=="
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "profitable_outlier_quantile = 0.95\n",
+    "outlier_equity_curves = {}\n",
+    "outlier_return_series = {}\n",
+    "outlier_rows = []\n",
+    "method_metadata = successful_df.set_index('ID')\n",
+    "\n",
+    "for source_id, raw_curve in sorted(trial_equity_curves.items()):\n",
+    "    daily_returns = calculate_returns(raw_curve).resample('1D').sum(min_count=1).fillna(0.0)\n",
+    "    profitable_returns = daily_returns[daily_returns > 0.0]\n",
+    "    profitable_outlier_cutoff = profitable_returns.quantile(profitable_outlier_quantile) if len(profitable_returns) else float('inf')\n",
+    "    profitable_outlier_mask = (daily_returns > 0.0) & (daily_returns > profitable_outlier_cutoff)\n",
+    "    returns_without_outliers = daily_returns.mask(profitable_outlier_mask, 0.0)\n",
+    "\n",
+    "    equity_without_outliers = raw_curve.iloc[0] * (1.0 + returns_without_outliers).cumprod()\n",
+    "    equity_without_outliers.name = raw_curve.name\n",
+    "    equity_without_outliers.attrs = raw_curve.attrs.copy()\n",
+    "    outlier_equity_curves[source_id] = equity_without_outliers\n",
+    "    outlier_return_series[source_id] = returns_without_outliers\n",
+    "\n",
+    "    row = {\n",
+    "        'ID': source_id,\n",
+    "        **method_metadata.loc[source_id, ['Method', 'Family', 'Provenance']].to_dict(),\n",
+    "        'Removed profitable days': int(profitable_outlier_mask.sum()),\n",
+    "        'Profitable-return cutoff': float(profitable_outlier_cutoff),\n",
+    "    }\n",
+    "    row.update(_metric_block(returns_without_outliers, 'Full'))\n",
+    "    row.update(_metric_block(returns_without_outliers.loc[returns_without_outliers.index >= pd.Timestamp('2026-03-12')], 'Holdout'))\n",
+    "    outlier_rows.append(row)\n",
+    "\n",
+    "assert len(outlier_equity_curves) == len(trial_equity_curves) == 31\n",
+    "\n",
+    "outlier_curve_frames = []\n",
+    "for source_id, curve in sorted(outlier_equity_curves.items()):\n",
+    "    curve_df = curve.rename('equity').rename_axis('timestamp').reset_index()\n",
+    "    curve_df['ID'] = source_id\n",
+    "    curve_df['relative_equity'] = curve_df['equity'] / curve_df['equity'].iloc[0]\n",
+    "    outlier_curve_frames.append(curve_df)\n",
+    "\n",
+    "outlier_equity_plot_df = pd.concat(outlier_curve_frames, ignore_index=True)\n",
+    "fig = px.line(\n",
+    "    outlier_equity_plot_df,\n",
+    "    x='timestamp',\n",
+    "    y='relative_equity',\n",
+    "    color='ID',\n",
+    "    log_y=True,\n",
+    "    title='All 31 equity curves \u2014 largest 5% profitable daily returns neutralised',\n",
+    "    hover_data={'equity': ':,.2f', 'relative_equity': ':.2f'},\n",
+    ")\n",
+    "fig.update_traces(opacity=0.72)\n",
+    "fig.update_layout(legend_title_text='Method ID')\n",
+    "fig.show()\n",
+    "\n",
+    "outlier_rolling_sharpe_frames = []\n",
+    "outlier_rolling_sharpe_metric_rows = []\n",
+    "for source_id, daily_returns in sorted(outlier_return_series.items()):\n",
+    "    rolling_mean = daily_returns.rolling(rolling_sharpe_window_days, min_periods=rolling_sharpe_window_days).mean()\n",
+    "    rolling_volatility = daily_returns.rolling(rolling_sharpe_window_days, min_periods=rolling_sharpe_window_days).std()\n",
+    "    rolling_sharpe = annualisation_factor * rolling_mean / rolling_volatility.replace(0.0, float('nan'))\n",
+    "    outlier_rolling_sharpe_metric_rows.append({\n",
+    "        'ID': source_id,\n",
+    "        '90d rolling Sharpe min': float(rolling_sharpe.min()),\n",
+    "        '90d rolling Sharpe mean': float(rolling_sharpe.mean()),\n",
+    "        '90d rolling Sharpe max': float(rolling_sharpe.max()),\n",
+    "    })\n",
+    "    outlier_rolling_sharpe_frames.append(\n",
+    "        rolling_sharpe.rename('rolling_sharpe').rename_axis('timestamp').reset_index().assign(ID=source_id)\n",
+    "    )\n",
+    "\n",
+    "outlier_rolling_sharpe_metrics_df = pd.DataFrame(outlier_rolling_sharpe_metric_rows)\n",
+    "outlier_performance_columns = [\n",
+    "    'ID', 'Method', 'Family', 'Provenance', 'Removed profitable days', 'Profitable-return cutoff',\n",
+    "    'Full CAGR', 'Full Sharpe', 'Full Sortino', 'Full Calmar', 'Full Max DD',\n",
+    "    '90d rolling Sharpe min', '90d rolling Sharpe mean', '90d rolling Sharpe max',\n",
+    "    'Holdout CAGR', 'Holdout Sharpe', 'Holdout Sortino', 'Holdout Calmar', 'Holdout Max DD',\n",
+    "]\n",
+    "outlier_performance_metrics_df = pd.DataFrame(outlier_rows).merge(\n",
+    "    outlier_rolling_sharpe_metrics_df,\n",
+    "    on='ID',\n",
+    "    how='left',\n",
+    "    validate='one_to_one',\n",
+    ").loc[:, outlier_performance_columns].sort_values(['Full CAGR', 'ID'], ascending=[False, True])\n",
+    "outlier_percentage_columns = ['Profitable-return cutoff', 'Full CAGR', 'Full Max DD', 'Holdout CAGR', 'Holdout Max DD']\n",
+    "outlier_ratio_columns = [\n",
+    "    'Full Sharpe', 'Full Sortino', 'Full Calmar',\n",
+    "    '90d rolling Sharpe min', '90d rolling Sharpe mean', '90d rolling Sharpe max',\n",
+    "    'Holdout Sharpe', 'Holdout Sortino', 'Holdout Calmar',\n",
+    "]\n",
+    "display(\n",
+    "    outlier_performance_metrics_df.style\n",
+    "    .format({column: '{:.2%}' for column in outlier_percentage_columns} | {column: '{:.2f}' for column in outlier_ratio_columns})\n",
+    "    .set_caption('All successful methods \u2014 largest 5% of profitable daily returns neutralised; losses retained')\n",
+    ")\n",
+    "\n",
+    "outlier_rolling_sharpe_plot_df = pd.concat(outlier_rolling_sharpe_frames, ignore_index=True).dropna(subset=['rolling_sharpe'])\n",
+    "fig = px.line(\n",
+    "    outlier_rolling_sharpe_plot_df,\n",
+    "    x='timestamp',\n",
+    "    y='rolling_sharpe',\n",
+    "    color='ID',\n",
+    "    title='All 31 90-day rolling Sharpe ratios \u2014 profitable outliers neutralised',\n",
+    ")\n",
+    "fig.add_hline(y=0.0, line_dash='dot', line_color='grey')\n",
+    "fig.update_traces(opacity=0.72)\n",
+    "fig.update_layout(legend_title_text='Method ID', yaxis_title='Annualised Sharpe ratio')\n",
+    "fig.show()\n",
+    "\n",
+    "outlier_performance_clusters_df = display_performance_cluster_maps(\n",
+    "    outlier_performance_metrics_df,\n",
+    "    'Results without outliers',\n",
+    ")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
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diff --git a/scratchpad/lighter-vault-of-vaults/04-backtest-equal-vs-inverse-vol-baselines.ipynb b/scratchpad/lighter-vault-of-vaults/04-backtest-equal-vs-inverse-vol-baselines.ipynb
new file mode 100644
index 0000000..955e7ae
--- /dev/null
+++ b/scratchpad/lighter-vault-of-vaults/04-backtest-equal-vs-inverse-vol-baselines.ipynb
@@ -0,0 +1,9715 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "59a77735",
+   "metadata": {},
+   "source": "# Lighter vault of vaults \u2014 equal vs inverse-vol baselines (detailed backtest)\n\nBased on: `scratchpad/hyperliquid-waterfall-rc/26-backtest-gated-vs-champion-detailed.ipynb`, re-pointed to the Lighter public-pool universe.\n\n## Purpose\n\nThe Hyperliquid survivorship-free universe research (NB24/25/26) surfaced two allocation methods that were more robust than the age-ramp waterfall: a **composite-selected equal-weight** basket and a **composite-selected inverse-volatility** basket with a 30-day-return momentum gate. This notebook ports both to the Lighter universe as the two candidate baselines, with the leveraged-beta pools excluded so allocation is over skill-style pools only.\n\nBoth run on the same 27-pool Lighter USDC universe (7 declared leveraged directional pools excluded via `build_lighter_vault_universe(exclude_leveraged_beta=True)`), 25,000 USD, tight caps (5 vaults, pool cap 0.20), 2025-08-01 \u2192 2026-07-10.\n\n| Tag | Selection | Weighting | Gate |\n|---|---|---|---|\n| **Equal** (`C-eq`) | composite (360d CAGR + 180d Sharpe) | equal | none |\n| **Inverse-vol** (`C-ivw`) | composite | inverse-vol (linear) | 30-day-return > 0 |\n\nThe comparison shows equity curves (same chart), performance metrics (side by side), asset weights, and monthly returns for both.\n\n## Universe notes\n\n- 27 Lighter USDC pools after excluding the 7 declared single-asset leveraged directional pools (`BTC/ETH 3x long+short`, `SOL 3x short`, `HYPE 2x long`, `LINK 2x long`). The exclusion is by declared name, so no look-ahead.\n- The composite selection uses a 360-day CAGR window; most Lighter pools are younger than that, so the CAGR leg leans on `min_periods` history and the 60-day hard floor \u2014 watch basket fill in the Robustness section.\n\n## Key new insights and what we learnt from this experiment\n\n- **The Hyperliquid finding ports to Lighter directionally: inverse-vol sizing plus the 30-day-return gate roughly halves the drawdown versus equal weight and flips the risk-adjusted profile positive.** Max drawdown -41% -> -22%, annualised volatility 35% -> 25%, Sharpe -0.10 -> +0.12, Sortino -0.14 -> +0.17, Ulcer index 0.25 -> 0.15, and skew -0.68 -> +0.57. The inverse-vol strategy preserves capital (breakeven, final \\$24,956) while equal weight loses money (-9%, final \\$22,792).\n- **Neither baseline is profitable on Lighter over the full period, but both dominate buy-and-hold by a wide margin.** Over 2025-08 to 2026-07 BTC returned -46% CAGR (Sharpe -1.19) and ETH -52% (-0.76); equal weight is roughly flat-to-negative and inverse-vol is breakeven, both with far shallower drawdowns than holding the majors. On a -44% BTC tape, \"lose nothing\" is the achievable Lighter outcome for these methods, not \"compound like Hyperliquid\".\n- **The skew sign is the mechanism.** Equal weight carries negative skew (-0.68) \u2014 it holds losing pools at full weight through their declines. The gate sells pools on a negative trailing 30-day return, so inverse-vol shows positive skew (+0.57): it cuts the losers and keeps the up-days. This is the same lumpy, positively-skewed signature the Hyperliquid winner showed, and it is why the drawdown halves even though total return is similar.\n- **Excluding leveraged-beta pools is necessary but not sufficient.** The 7 declared 3x/2x pools are gone, but the 27-pool skill universe still contains large non-leveraged losers (XLP -43%, Guinea Pool -55%, pool1 -54%, DSC-L -78%). Equal weight's -41% drawdown comes from holding these; the momentum gate is what actually protects capital. Selection alone (composite CAGR+Sharpe) does not keep them out on this universe.\n\n## Summary of results\n\nUniverse: 27 Lighter USDC pools (7 leveraged-beta pools excluded), max 5 vaults, pool cap 0.20, 25,000 USD, 2025-08-01 \u2192 2026-07-09. Metrics from the notebook side-by-side table (quantstats basis).\n\n| Metric | Equal (C-eq / no gate) | Inverse-vol (C-ivw / ret30 gate) | BTC hold | ETH hold |\n| --- | ---: | ---: | ---: | ---: |\n| CAGR | -9% | ~0% | -46% | -52% |\n| Sharpe | -0.10 | **+0.12** | -1.19 | -0.76 |\n| Sortino | -0.14 | **+0.17** | -1.58 | -1.07 |\n| Max drawdown | -41% | **-22%** | -53% | -68% |\n| Volatility (ann.) | 35% | **25%** | 44% | 67% |\n| Skew / Kurtosis | -0.68 / 9.8 | +0.57 / 15.8 | -0.24 / 6.0 | +0.18 / 2.7 |\n| Ulcer index | 0.25 | **0.15** | 0.34 | 0.44 |\n| 2026 YTD | +15% | +2% | -28% | -41% |\n\nThe inverse-vol + gate is the appropriate baseline for Lighter: the same absolute return band as equal weight but with roughly half the drawdown and a positive risk-adjusted profile. Equal weight is the higher-variance, negatively-skewed control.\n\n## Robustness of results\n\n- **Both results are conditional on a thin, lumpy return path.** Kurtosis is elevated (9.8 equal, 15.8 inverse-vol) and the best/worst single days are large (equal +8%/-12%, inverse-vol +8%/-7%), the expected consequence of a 5-position basket over ~27 young pools. The equal-weight -12% worst day and -35% worst month indicate the drawdown is event-driven, not smooth bleed. This is concentration risk, not a data artefact \u2014 no single day coincides with an outsized isolated vault jump that would flag a price discontinuity.\n- **The composite CAGR leg is weak on this universe.** Selection uses a 360-day CAGR window, but most Lighter pools are younger, so the CAGR score leans on `min_periods` history and the 60-day floor; the selection is effectively driven by the 180-day Sharpe leg for much of the window. Both baskets still filled 5 positions throughout, so this degrades signal quality rather than breaking the run \u2014 a shorter CAGR window is the obvious next tune.\n- **Absolute performance is universe-limited, as expected.** Consistent with NB02/NB03, the Lighter universe does not currently support broad-based compounding; the value of the inverse-vol + gate method here is drawdown control and capital preservation on a falling market, not return generation. A profitable configuration likely needs the LLP-core / quality-satellite structure (park idle capital in LLP) rather than a fully deployed 5-pool basket.\n- Inherited caveats stand: static-membership survivorship in the outer address list, `historical-overlap` provenance for the method constants (tuned on Hyperliquid data), all pools labelled `Severe` risk, and a single ~11-month window with a 120-day common-history tail.\n"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e427f61b",
+   "metadata": {},
+   "source": [
+    "## Notebook setup\n",
+    "\n",
+    "- Shared imports, chart output settings, and notebook logging for the clean-up variant."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "22a19f82",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:14.559582Z",
+     "iopub.status.busy": "2026-07-23T19:24:14.559439Z",
+     "iopub.status.idle": "2026-07-23T19:24:17.602411Z",
+     "shell.execute_reply": "2026-07-23T19:24:17.601705Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Started Trading Strategy in Jupyter notebook environment, configuration is stored in /Users/moo/.tradingstrategy\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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mte={staticPlot:{valType:\"boolean\",dflt:!1},typesetMath:{valType:\"boolean\",dflt:!0},plotlyServerURL:{valType:\"string\",dflt:\"\"},editable:{valType:\"boolean\",dflt:!1},edits:{annotationPosition:{valType:\"boolean\",dflt:!1},annotationTail:{valType:\"boolean\",dflt:!1},annotationText:{valType:\"boolean\",dflt:!1},axisTitleText:{valType:\"boolean\",dflt:!1},colorbarPosition:{valType:\"boolean\",dflt:!1},colorbarTitleText:{valType:\"boolean\",dflt:!1},legendPosition:{valType:\"boolean\",dflt:!1},legendText:{valType:\"boolean\",dflt:!1},shapePosition:{valType:\"boolean\",dflt:!1},titleText:{valType:\"boolean\",dflt:!1}},editSelection:{valType:\"boolean\",dflt:!0},autosizable:{valType:\"boolean\",dflt:!1},responsive:{valType:\"boolean\",dflt:!1},fillFrame:{valType:\"boolean\",dflt:!1},frameMargins:{valType:\"number\",dflt:0,min:0,max:.5},scrollZoom:{valType:\"flaglist\",flags:[\"cartesian\",\"gl3d\",\"geo\",\"mapbox\",\"map\"],extras:[!0,!1],dflt:\"gl3d+geo+map\"},doubleClick:{valType:\"enumerated\",values:[!1,\"reset\",\"autosize\",\"reset+autosize\"],dflt:\"reset+autosize\"},doubleClickDelay:{valType:\"number\",dflt:300,min:0},showAxisDragHandles:{valType:\"boolean\",dflt:!0},showAxisRangeEntryBoxes:{valType:\"boolean\",dflt:!0},showTips:{valType:\"boolean\",dflt:!0},displayNotifier:{valType:\"boolean\",dflt:!0},showLink:{valType:\"boolean\",dflt:!1},linkText:{valType:\"string\",dflt:\"Edit 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c=u.append(\"p\"),f=l.split(/<br\\s*\\/?>/g),h=0;h<f.length;h++)h&&c.append(\"br\"),c.append(\"span\").text(f[h]);t===\"stick\"?u.transition().duration(350).style(\"opacity\",1):u.transition().duration(700).style(\"opacity\",1).transition().delay(n).call(o)})}});var J1=ye((pir,wte)=>{\"use strict\";var b3=xb().dfltConfig,Vq=Uq(),Gq=wte.exports={};Gq.log=function(){var e;if(b3.logging>1){var t=[\"LOG:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.trace.apply(console,t)}if(b3.notifyOnLogging>1){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"long\")}};Gq.warn=function(){var e;if(b3.logging>0){var t=[\"WARN:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.trace.apply(console,t)}if(b3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"stick\")}};Gq.error=function(){var e;if(b3.logging>0){var t=[\"ERROR:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.error.apply(console,t)}if(b3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"stick\")}}});var I6=ye((gir,Tte)=>{\"use strict\";Tte.exports=function(){}});var Hq=ye((mir,Ate)=>{\"use strict\";Ate.exports=function(t,r){if(r instanceof RegExp){for(var n=r.toString(),i=0;i<t.length;i++)if(t[i]instanceof RegExp&&t[i].toString()===n)return t;t.push(r)}else(r||r===0)&&t.indexOf(r)===-1&&t.push(r);return t}});var Mte=ye((yir,Ste)=>{Ste.exports=vrt;function vrt(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var kte=ye((_ir,Ete)=>{Ete.exports=prt;function prt(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}});var Lte=ye((xir,Cte)=>{Cte.exports=grt;function grt(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var jq=ye((bir,Pte)=>{Pte.exports=mrt;function mrt(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Rte=ye((wir,Ite)=>{Ite.exports=yrt;function yrt(e,t){if(e===t){var r=t[1],n=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=r,e[6]=t[9],e[7]=t[13],e[8]=n,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else 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r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],m=t[13],b=t[14],p=t[15];return e[0]=s*(h*p-d*b)-f*(l*p-u*b)+m*(l*d-u*h),e[1]=-(n*(h*p-d*b)-f*(i*p-a*b)+m*(i*d-a*h)),e[2]=n*(l*p-u*b)-s*(i*p-a*b)+m*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*p-d*b)-c*(l*p-u*b)+v*(l*d-u*h)),e[5]=r*(h*p-d*b)-c*(i*p-a*b)+v*(i*d-a*h),e[6]=-(r*(l*p-u*b)-o*(i*p-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*p-d*m)-c*(s*p-u*m)+v*(s*d-u*f),e[9]=-(r*(f*p-d*m)-c*(n*p-a*m)+v*(n*d-a*f)),e[10]=r*(s*p-u*m)-o*(n*p-a*m)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*m)-c*(s*b-l*m)+v*(s*h-l*f)),e[13]=r*(f*b-h*m)-c*(n*b-i*m)+v*(n*h-i*f),e[14]=-(r*(s*b-l*m)-o*(n*b-i*m)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var Bte=ye((Sir,Ote)=>{Ote.exports=brt;function brt(e){var t=e[0],r=e[1],n=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11],d=e[12],v=e[13],m=e[14],b=e[15],p=t*o-r*a,k=t*s-n*a,M=t*l-i*a,T=r*s-n*o,L=r*l-i*o,x=n*l-i*s,C=u*v-c*d,S=u*m-f*d,g=u*b-h*d,P=c*m-f*v,E=c*b-h*v,z=f*b-h*m;return p*z-k*E+M*P+T*g-L*S+x*C}});var Ute=ye((Mir,Nte)=>{Nte.exports=wrt;function wrt(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],f=t[8],h=t[9],d=t[10],v=t[11],m=t[12],b=t[13],p=t[14],k=t[15],M=r[0],T=r[1],L=r[2],x=r[3];return e[0]=M*n+T*s+L*f+x*m,e[1]=M*i+T*l+L*h+x*b,e[2]=M*a+T*u+L*d+x*p,e[3]=M*o+T*c+L*v+x*k,M=r[4],T=r[5],L=r[6],x=r[7],e[4]=M*n+T*s+L*f+x*m,e[5]=M*i+T*l+L*h+x*b,e[6]=M*a+T*u+L*d+x*p,e[7]=M*o+T*c+L*v+x*k,M=r[8],T=r[9],L=r[10],x=r[11],e[8]=M*n+T*s+L*f+x*m,e[9]=M*i+T*l+L*h+x*b,e[10]=M*a+T*u+L*d+x*p,e[11]=M*o+T*c+L*v+x*k,M=r[12],T=r[13],L=r[14],x=r[15],e[12]=M*n+T*s+L*f+x*m,e[13]=M*i+T*l+L*h+x*b,e[14]=M*a+T*u+L*d+x*p,e[15]=M*o+T*c+L*v+x*k,e}});var Gte=ye((Eir,Vte)=>{Vte.exports=Trt;function Trt(e,t,r){var n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,m,b,p;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],m=t[9],b=t[10],p=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=m,e[10]=b,e[11]=p,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+m*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+p*a+t[15]),e}});var jte=ye((kir,Hte)=>{Hte.exports=Art;function Art(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var Xte=ye((Cir,Wte)=>{Wte.exports=Srt;function Srt(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,m,b,p,k,M,T,L,x,C,S,g,P,E,z,q,V,G;return 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n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i-u*n,e[1]=o*i-c*n,e[2]=s*i-f*n,e[3]=l*i-h*n,e[8]=a*n+u*i,e[9]=o*n+c*i,e[10]=s*n+f*i,e[11]=l*n+h*i,e}});var Qte=ye((Iir,$te)=>{$te.exports=krt;function krt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[4],c=t[5],f=t[6],h=t[7];return t!==e&&(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i+u*n,e[1]=o*i+c*n,e[2]=s*i+f*n,e[3]=l*i+h*n,e[4]=u*i-a*n,e[5]=c*i-o*n,e[6]=f*i-s*n,e[7]=h*i-l*n,e}});var tre=ye((Rir,ere)=>{ere.exports=Crt;function Crt(e,t,r){var n,i,a,o=r[0],s=r[1],l=r[2],u=Math.sqrt(o*o+s*s+l*l);return 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t=Roe[e],r=t.n;Ta.symbolList.push(r,String(r),e,r+100,String(r+100),e+\"-open\"),Ta.symbolNames[r]=e,Ta.symbolFuncs[r]=t.f,Ta.symbolBackOffs[r]=t.backoff||0,t.needLine&&(Ta.symbolNeedLines[r]=!0),t.noDot?Ta.symbolNoDot[r]=!0:Ta.symbolList.push(r+200,String(r+200),e+\"-dot\",r+300,String(r+300),e+\"-open-dot\"),t.noFill&&(Ta.symbolNoFill[r]=!0)});var vst=Ta.symbolNames.length,pst=\"M0,0.5L0.5,0L0,-0.5L-0.5,0Z\";Ta.symbolNumber=function(e){if(Fb(e))e=+e;else if(typeof e==\"string\"){var t=0;e.indexOf(\"-open\")>0&&(t=100,e=e.replace(\"-open\",\"\")),e.indexOf(\"-dot\")>0&&(t+=200,e=e.replace(\"-dot\",\"\")),e=Ta.symbolNames.indexOf(e),e>=0&&(e+=t)}return e%100>=vst||e>=400?0:Math.floor(Math.max(e,0))};function Hoe(e,t,r,n){var i=e%100;return Ta.symbolFuncs[i](t,r,n)+(e>=200?pst:\"\")}var 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E=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),z=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([E],Du.identity);z.exit().remove(),z.enter().append(\"pattern\").each(function(){var q=dd.select(this);if(q.attr({id:v,width:m+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=$O(u),G=Jd.tinyRGB(V),Z=V.getAlpha(),j=q.selectAll(\"rect\").data([0]);j.exit().remove(),j.enter().append(\"rect\").attr({width:m+\"px\",height:b+\"px\",fill:G,\"fill-opacity\":Z})}var N=q.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(x)}),e.style(\"fill\",QO(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};Ta.initGradients=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),dd.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};Ta.initPatterns=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),dd.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};Ta.getPatternAttr=function(e,t,r){return e&&Du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};Ta.pointStyle=function(e,t,r,n){if(e.size()){var i=Ta.makePointStyleFns(t);e.each(function(a){Ta.singlePointStyle(a,dd.select(this),t,i,r,n)})}};Ta.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=Ta.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=tB(e,r),f=eB(e,r);t.attr(\"d\",Hoe(u,l,c,f))}var h=!1,d,v,m;if(e.so)m=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var b=(s||{}).width;m=(e.mlw+1||b+1||(e.trace?(e.trace.marker.line||{}).width:0)+1)-1||0,\"mlc\"in e?v=e.mlcc=n.lineScale(e.mlc):Du.isArrayOrTypedArray(s.color)?v=Jd.defaultLine:v=s.color,Du.isArrayOrTypedArray(o.color)&&(d=Jd.defaultLine,h=!0),\"mc\"in e?d=e.mcc=n.markerScale(e.mc):d=o.color||o.colors||\"rgba(0,0,0,0)\",n.selectedColorFn&&(d=n.selectedColorFn(e))}let p=e.mld||(s||{}).dash;if(p&&Ta.dashLine(t,p,m),e.om)t.call(Jd.stroke,d).style({\"stroke-width\":(m||1)+\"px\",fill:\"none\"});else{t.style(\"stroke-width\",(e.isBlank?0:m)+\"px\");var k=o.gradient,M=e.mgt;M?h=!0:M=k&&k.type,Du.isArrayOrTypedArray(M)&&(M=M[0],joe[M]||(M=0));var T=o.pattern,L=Ta.getPatternAttr,x=T&&(L(T.shape,e.i,\"\")||L(T.path,e.i,\"\"));if(M&&M!==\"none\"){var C=e.mgc;C?h=!0:C=k.color;var S=r.uid;h&&(S+=\"-\"+e.i),Ta.gradient(t,i,S,M,[[0,C],[1,d]],\"fill\")}else if(x){var g=!1,P=T.fgcolor;!P&&a&&a.color&&(P=a.color,g=!0);var E=L(P,e.i,a&&a.color||null),z=L(T.bgcolor,e.i,null),q=T.fgopacity,V=L(T.size,e.i,8),G=L(T.solidity,e.i,.3);g=g||e.mcc||Du.isArrayOrTypedArray(T.shape)||Du.isArrayOrTypedArray(T.path)||Du.isArrayOrTypedArray(T.bgcolor)||Du.isArrayOrTypedArray(T.fgcolor)||Du.isArrayOrTypedArray(T.size)||Du.isArrayOrTypedArray(T.solidity);var Z=r.uid;g&&(Z+=\"-\"+e.i),Ta.pattern(t,\"point\",i,Z,x,V,G,e.mcc,T.fillmode,z,E,q)}else Du.isArrayOrTypedArray(d)?Jd.fill(t,d[e.i]):Jd.fill(t,d);m&&Jd.stroke(t,v)}};Ta.makePointStyleFns=function(e){var t={},r=e.marker;return t.markerScale=Ta.tryColorscale(r,\"\"),t.lineScale=Ta.tryColorscale(r,\"line\"),mL.traceIs(e,\"symbols\")&&(t.ms2mrc=lst.isBubble(e)?ust(e):function(){return(r.size||6)/2}),e.selectedpoints&&Du.extendFlat(t,Ta.makeSelectedPointStyleFns(e)),t};Ta.makeSelectedPointStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(Du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(T){var L=T.mo===void 0?i.opacity:T.mo;return T.selected?c?l:L:f?u:Voe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(T){var L=T.mcc||h;return T.selected?d||L:v||L});var m=i.size,b=a.size,p=o.size,k=b!==void 0,M=p!==void 0;return mL.traceIs(e,\"symbols\")&&(k||M)&&(t.selectedSizeFn=function(T){var L=T.mrc||m/2;return T.selected?k?b/2:L:M?p/2:L}),t};Ta.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Jd.addOpacity(f,Voe))},t};Ta.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Ta.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Jd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",Hoe(Ta.symbolNumber(s),l,tB(o,t),eB(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=dd.select(this),s=0;s<i.length;s++)i[s](o,a)})}};Ta.tryColorscale=function(e,t){var r=t?Du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&Du.isArrayOrTypedArray(n))return nst.makeColorScaleFuncFromTrace(r)}return Du.identity};var ZO={start:1,end:-1,middle:0,bottom:1,top:-1};function Xoe(e,t,r,n,i){var a=dd.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(yL.lineCount(e)-1)*sst+1,c=ZO[s]*l,f=r*.75+ZO[o]*l+(ZO[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",cM(c,f))}function Zoe(e,t){var r=e.ts||t.textfont.size;return Fb(r)&&r>0?r:0}Ta.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=Ta.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=dd.select(this),u=a?Du.extractOption(s,t,\"txt\",\"texttemplate\"):Du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};cst(h,t,s.i),u=Du.texttemplateString({data:[h,s,t._meta],fallback:t.texttemplatefallback,labels:f,locale:o._d3locale,template:u})}var 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L=t.minallowed,x=t.maxallowed;if(!(L===void 0&&x===void 0)){T||(T=\"range\");var C=yc.nestedProperty(t,T).get(),S=yc.simpleMap(C,t.r2l),g=S[1]<S[0];g&&S.reverse();var P=yc.simpleMap([L,x],t.r2l);if(L!==void 0&&S[0]<P[0]&&(C[g?1:0]=L,S[0]=P[0]),x!==void 0&&S[1]>P[1]&&(C[g?0:1]=x,S[1]=P[1]),S[0]>=S[1])if(L!==void 0){var E=P[0]+1;x!==void 0&&(E=Math.min(E,P[1])),C[g?0:1]=t.l2r(E)}else x!==void 0&&(C[g?1:0]=t.l2r(P[1]-1))}},t.cleanRange=function(T,L){t._cleanRange(T,L),t.limitRange(T)},t._cleanRange=function(T,L){L||(L={}),T||(T=\"range\");var x=yc.nestedProperty(t,T).get(),C,S;if(t.type===\"date\"?S=yc.dfltRange(t.calendar):i===\"y\"?S=EL.DFLTRANGEY:t._name===\"realaxis\"?S=[0,1]:S=L.dfltRange||EL.DFLTRANGEX,S=S.slice(),(t.rangemode===\"tozero\"||t.rangemode===\"nonnegative\")&&(S[0]=0),!x||x.length!==2){yc.nestedProperty(t,T).set(S);return}var 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0,t);if(e.tickmode===\"auto\"||!e.dtick){var n=e.nticks,i;n||(e.type===\"category\"||e.type===\"multicategory\"?(i=e.tickfont?Wo.bigFont(e.tickfont.size||12):15,n=e._length/i):(i=e._id.charAt(0)===\"y\"?40:80,n=Wo.constrain(e._length/i,4,9)+1),e._name===\"radialaxis\"&&(n*=2)),e.minor&&e.minor.tickmode!==\"array\"||e.tickmode===\"array\"&&(n*=100),e._roughDTick=Math.abs(r[1]-r[0])/n,$n.autoTicks(e,e._roughDTick),e._minDtick>0&&e.dtick<e._minDtick*2&&(e.dtick=e._minDtick,e.tick0=e.l2r(e._forceTick0))}e.ticklabelmode===\"period\"&&hlt(e),e.tick0||(e.tick0=e.type===\"date\"?\"2000-01-01\":0),e.type===\"date\"&&e.dtick<.1&&(e.dtick=.1),zse(e)};function dB(e){return+e.substring(1)}function hlt(e){var t;function r(){return!(zh(e.dtick)||e.dtick.charAt(0)!==\"M\")}var n=r(),i=$n.getTickFormat(e);if(i){var a=e._dtickInit!==e.dtick;/%[fLQsSMX]/.test(i)||(/%[HI]/.test(i)?(t=wm,a&&!n&&e.dtick<wm&&(e.dtick=wm)):/%p/.test(i)?(t=p_,a&&!n&&e.dtick<p_&&(e.dtick=p_)):/%[Aadejuwx]/.test(i)?(t=qv,a&&!n&&e.dtick<qv&&(e.dtick=qv)):/%[UVW]/.test(i)?(t=Zp,a&&!n&&e.dtick<Zp&&(e.dtick=Zp)):/%[Bbm]/.test(i)?(t=Y3,a&&(n?dB(e.dtick)<1:e.dtick<zL)&&(e.dtick=\"M1\")):/%[q]/.test(i)?(t=pB,a&&(n?dB(e.dtick)<3:e.dtick<FL)&&(e.dtick=\"M3\")):/%[Yy]/.test(i)&&(t=RL,a&&(n?dB(e.dtick)<12:e.dtick<DL)&&(e.dtick=\"M12\")))}n=r(),n&&e.tick0===e._dowTick0&&(e.tick0=e._rawTick0),e._definedDelta=t}function dlt(e,t,r){for(var n=0;n<e.length;n++){var i=e[n].value,a=n,o=n+1;n<e.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s=e[a].value,l=e[o].value,u=Math.abs(l-s),c=r||u,f=0;c>=DL?u>=DL&&u<=Qst?f=u:f=RL:r===pB&&c>=FL?u>=FL&&u<=elt?f=u:f=pB:c>=zL?u>=zL&&u<=tlt?f=u:f=Y3:r===Zp&&c>=Zp?f=Zp:c>=qv?f=qv:r===p_&&c>=p_?f=p_:r===wm&&c>=wm&&(f=wm);var h;f>=u&&(f=u,h=!0);var d=i+f;if(t.rangebreaks&&f>0){for(var v=84,m=0,b=0;b<v;b++){var p=(b+.5)/v;t.maskBreaks(i*(1-p)+p*d)!==BL&&m++}f*=m/v,f||(e[n].drop=!0),h&&u>Zp&&(f=u)}(f>0||n===0)&&(e[n].periodX=i+f/2)}}$n.calcTicks=function(t,r){for(var n=t.type,i=t.calendar,a=t.ticklabelstep,o=t.ticklabelmode===\"period\",s=t.range[0]>t.range[1],l=!t.ticklabelindex||Wo.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],u=Wo.simpleMap(t.range,t.r2l,void 0,void 0,r),c=u[1]<u[0],f=Math.min(u[0],u[1]),h=Math.max(u[0],u[1]),d=Math.max(1e3,t._length||0),v=[],m=[],b=[],p=[],k=[],M=t.minor&&(t.minor.ticks||t.minor.showgrid),T=M||l,L=1;L>=(T?0:1);L--){var x=!L;L?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):T&&(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var C=L?t:Wo.extendFlat({},t,T?t.minor:{minor:{}});if(x?$n.prepMinorTicks(C,t,r):$n.prepTicks(C,r),C.tickmode===\"array\"){L?(b=[],v=Mse(t,!x)):(p=[],m=Mse(t,!x));continue}if(C.tickmode===\"sync\"){b=[],v=vlt(t);continue}var S=wB(u),g=S[0],P=S[1],E=zh(C.dtick),z=n===\"log\"&&!(E||C.dtick.charAt(0)===\"L\"),q=$n.tickFirst(C,r);if(L){if(t._tmin=q,q<g!==c)break;(n===\"category\"||n===\"multicategory\")&&(P=c?Math.max(-.5,P):Math.min(t._categories.length-.5,P))}var V=null,G=q,Z;if(L){var j;E?j=t.dtick:n===\"date\"?typeof t.dtick==\"string\"&&t.dtick.charAt(0)===\"M\"&&(j=Y3*t.dtick.substring(1)):j=t._roughDTick,Z=Math.round((t.r2l(G)-t.r2l(t.tick0))/j)-1}var N=C.dtick;for(C.rangebreaks&&C._tick0Init!==C.tick0&&(G=vB(G,t),c||(G=$n.tickIncrement(G,N,!c,i))),(L||l)&&o&&(G=$n.tickIncrement(G,N,!c,i),L&&Z--);c?G>=P:G<=P;G=$n.tickIncrement(G,N,c,i)){if(L&&Z++,C.rangebreaks&&!c){if(G<g)continue;if(C.maskBreaks(G)===BL&&vB(G,C)>=h)break}if(b.length>d||G===V)break;V=G;var H={value:G};L?(z&&G!==(G|0)&&(H.simpleLabel=!0),a>1&&Z%a&&(H.skipLabel=!0),b.push(H)):(H.minor=!0,p.push(H))}}if(!p||p.length<3)l=!1;else{var re=(p[2].value-p[1].value)*(s?-1:1);Blt(re,t.tickformat)||(l=!1,p=p.slice(1))}if(!l)k=b;else{var ae=b.concat(p);o&&b.length&&(ae=ae.slice(1)),ae=ae.sort(function(Vt,rr){return Vt.value-rr.value}).filter(function(Vt,rr,tt){return rr===0||Vt.value!==tt[rr-1].value});var _e=ae.map(function(Vt,rr){return Vt.minor===void 0&&!Vt.skipLabel?rr:null}).filter(function(Vt){return Vt!==null});_e.forEach(function(Vt){l.map(function(rr){var tt=Vt+rr;tt>=0&&tt<ae.length&&Wo.pushUnique(k,ae[tt])})}),b.forEach(function(Vt){Vt.skipLabel=k.indexOf(Vt)===-1})}if(M){var Ee=t.minor.ticks===\"inside\"&&t.ticks===\"outside\"||t.minor.ticks===\"outside\"&&t.ticks===\"inside\";if(!Ee){for(var Ce=b.map(function(Vt){return Vt.value}),ge=[],ie=0;ie<p.length;ie++){var Se=p[ie],ke=Se.value;if(Ce.indexOf(ke)===-1){for(var be=!1,Be=0;!be&&Be<b.length;Be++)1e7+b[Be].value===1e7+ke&&(be=!0);be||ge.push(Se)}}p=ge}}o&&dlt(k,t,t._definedDelta);var Le;if(t.rangebreaks){var me=t._id.charAt(0)===\"y\",Pe=1;t.tickmode===\"auto\"&&(Pe=t.tickfont?t.tickfont.size:12);var ce=NaN;for(Le=b.length-1;Le>-1;Le--){if(b[Le].drop){b.splice(Le,1);continue}b[Le].value=vB(b[Le].value,t);var He=t.c2p(b[Le].value);(me?ce>He-Pe:ce<He+Pe)?b.splice(c?Le+1:Le,1):ce=He}}MB(t)&&Math.abs(u[1]-u[0])===360&&b.pop(),t._tmax=(b[b.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var lt,mt=function(Vt){Vt.text=\"\",t._prevDateHead=lt};b=b.concat(p);function Ht(Vt,rr){var tt=$n.tickText(Vt,rr.value,!1,rr.simpleLabel),je=rr.periodX;return je!==void 0&&(tt.periodX=je,(je>h||je<f)&&(je>h&&(tt.periodX=h),je<f&&(tt.periodX=f),mt(tt))),tt}var at;for(Le=0;Le<b.length;Le++){var ct=b[Le].minor,ar=b[Le].value;ct?(l&&k.indexOf(b[Le])!==-1?at=Ht(t,b[Le]):at={x:ar},at.minor=!0,m.push(at)):(lt=t._prevDateHead,at=Ht(t,b[Le]),b[Le].skipLabel&&mt(at),v.push(at))}return o&&l&&m.length&&(m[0].noTick=!0),v=v.concat(m),t._inCalcTicks=!1,o&&v.length&&(v[0].noTick=!0),v};function Rse(e,t){return e.rangebreaks&&(t=t.filter(function(r){return e.maskBreaks(r.x)!==BL})),t}function vlt(e){var t=e._mainAxis,r=[];if(t._vals){for(var n=0;n<t._vals.length;n++)if(!t._vals[n].noTick){var i=t.l2p(t._vals[n].x),a=e.p2l(i),o=$n.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=Rse(e,r),r}function Mse(e,t){var r=Wo.simpleMap(e.range,e.r2l),n=wB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Wo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=$n.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=Rse(e,s),s}var PL=[2,5,10],Ese=[1,2,3,6,12],kse=[1,2,5,10,15,30],plt=[1,2,3,7,14],Dse=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],Fse=[-.301,0,.301,.699,1],glt=[15,30,45,90,180];function bm(e,t,r){return t*Wo.roundUp(e/t,r)}$n.autoTicks=function(e,t,r){var n;function i(f){return Math.pow(f,Math.floor(Math.log(t)/Math.LN10))}if(e.type===\"date\"){e.tick0=Wo.dateTick0(e.calendar,0);var a=2*t;if(a>RL)t/=RL,n=i(10),e.dtick=\"M\"+12*bm(t,n,PL);else if(a>Y3)t/=Y3,e.dtick=\"M\"+bm(t,1,Ese);else if(a>qv){if(e.dtick=bm(t,qv,e._hasDayOfWeekBreaks?[1,2,7,14]:plt),!r){var o=$n.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Wo.dateTick0(e.calendar,2):e.tick0=Wo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>wm?e.dtick=bm(t,wm,Ese):a>pM?e.dtick=bm(t,pM,kse):a>qL?e.dtick=bm(t,qL,kse):(n=i(10),e.dtick=bm(t,n,PL))}else if(e.type===\"log\"){e.tick0=0;var l=Wo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+bm(t,n,PL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):MB(e)?(e.tick0=0,n=1,e.dtick=bm(t,n,glt)):(e.tick0=0,n=i(10),e.dtick=bm(t,n,PL));if(e.dtick===0&&(e.dtick=1),!zh(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function zse(e){var t=e.dtick;if(e._tickexponent=0,!zh(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.slice(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.slice(1)%12===0?\"y\":\"m\";else if(t>=qv&&i<=10||t>=qv*15)e._tickround=\"d\";else if(t>=pM&&i<=16||t>=wm)e._tickround=\"M\";else if(t>=qL&&i<=19||t>=pM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(zh(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);zh(t)||(t=Number(t.slice(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(K3(e.exponentformat)&&e.exponentformat!==\"SI extended\"&&!TB(l)||K3(e.exponentformat)&&e.exponentformat===\"SI extended\"&&!AB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}$n.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(zh(t))return Wo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.slice(1));if(a===\"M\")return Wo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?Fse:Dse,l=e+i*.01,u=Wo.roundUp(Wo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};$n.tickFirst=function(e,t){var r=e.r2l||Number,n=Wo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=wB(n)[0],s=e.dtick,l=r(e.tick0);if(zh(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Wo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.slice(1));if(c===\"M\"){for(var h=0,d=l,v,m,b;h<10;){if(v=$n.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);m=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(m))||1)*f,d=$n.tickIncrement(d,b,m<0?!i:i,e.calendar),h++}return Wo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var p=s===\"D2\"?Fse:Dse,k=Wo.roundUp(Wo.mod(o,1),p,i);return Math.floor(o)+Math.log(w0.round(Math.pow(10,k),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};$n.tickText=function(e,t,r,n){var i=qse(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var p=e.l2p(b);return p>=0&&p<=e._length?b:null};if(a&&Wo.isArrayOrTypedArray(e.ticktext)){var f=Wo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var p={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==p}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?mlt(e,i,r,o):s===\"log\"?ylt(e,i,r,o,v):s===\"category\"?_lt(e,i):s===\"multicategory\"?xlt(e,i,r):MB(e)?wlt(e,i,r,o,v):blt(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var m=e.labelalias[i.text];typeof m==\"string\"&&(i.text=m)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};$n.hoverLabelText=function(e,t,r){r&&(e=Wo.extendFlat({},e,{hoverformat:r}));var n=Wo.isArrayOrTypedArray(t)?t[0]:t,i=Wo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return $n.hoverLabelText(e,n,r)+\" - \"+$n.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=$n.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":Bb+o:o};function qse(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function mlt(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||$n.getTickFormat(e);n=!a&&n,n&&(zh(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Wo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
+       "`);if(l!==-1&&(s=o.slice(l+1),o=o.slice(0,l)),n&&(s!==void 0&&(o===\"00:00:00\"||o===\"00:00\")?(o=s,s=\"\"):o.length===8&&(o=o.replace(/:00$/,\"\"))),s)if(r)i===\"d\"?o+=\", \"+s:o=s+(o?\", \"+o:\"\");else if(!e._inCalcTicks||e._prevDateHead!==s)e._prevDateHead=s,o+=\"<br>\"+s;else{var u=yM(e),c=e._trueSide||e.side;(!u&&c===\"top\"||u&&c===\"bottom\")&&(o+=\"<br> \")}t.text=o}function ylt(e,t,r,n,i){var a=e.dtick,o=t.x,s=e.tickformat,l=typeof a==\"string\"&&a.charAt(0);if(i===\"never\"&&(i=\"\"),n&&l!==\"L\"&&(a=\"L3\",l=\"L\"),s||l===\"L\")t.text=mM(Math.pow(10,o),e,i,n);else if(zh(a)||l===\"D\"&&(e.minorloglabels===\"complete\"||Wo.mod(o+.01,1)<.1)){var u;e.minorloglabels===\"complete\"&&!(Wo.mod(o+.01,1)<.1)&&(u=!0,t.fontSize*=.75);var c=Math.pow(10,o).toExponential(0),f=c.split(\"e\"),h=+f[1],d=Math.abs(h),v=e.exponentformat;v===\"power\"||K3(v)&&v!==\"SI extended\"&&TB(h)||K3(v)&&v===\"SI 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Se=ie.K===\"tick\"&&ie.L===\"text\"&&t.ticklabelmode===\"period\",ke=n._plots[t._mainSubplot],be;if(ie.K===gB.K){var Be=a?ke.zerolinelayerAbove:ke.zerolinelayer;be=Be.selectAll(\".\"+t._id+\"zl\")}else ie.K===yB.K?be=ke.minorGridlayer.selectAll(\".\"+t._id):ie.K===mB.K?be=ke.gridlayer.selectAll(\".\"+t._id):be=ke[t._id.charAt(0)+\"axislayer\"];be.each(function(){var Le=w0.select(this);ie.L&&(Le=Le.selectAll(ie.L)),Le.each(function(me){var Pe=t.l2p(Se?_B(me):me.x)+t._offset,ce=w0.select(this);Pe<t[\"_visibleLabelMax_\"+Ce._id]&&Pe>t[\"_visibleLabelMin_\"+Ce._id]?ce.style(\"display\",\"none\"):ie.K===\"tick\"&&!ge&&ce.node().style.display!==\"none\"&&ce.style(\"display\",null)})})})})},d(f,c+1?c:u);function v(){return h.length&&Promise.all(h)}var m=null;function b(){if(d(f,u),s.length&&t.autotickangles&&(t.type!==\"log\"||String(t.dtick).charAt(0)!==\"D\")){m=t.autotickangles[0];var H=0,re=[],ae,_e=1;f.each(function(je){H=Math.max(H,je.fontSize);var 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a._offset+a._length};function Lse(e){var t=e.title.font.size,r=(e.title.text.match(Ob.BR_TAG_ALL)||[]).length;return e.title.hasOwnProperty(\"standoff\")?t*(Nb+r*gM):r?t*(r+1)*gM:t}function Ilt(e,t){var r=e._fullLayout,n=t._id,i=n.charAt(0),a=t.title.font.size,o,s=(t.title.text.match(Ob.BR_TAG_ALL)||[]).length;if(t.title.hasOwnProperty(\"standoff\"))t.side===\"bottom\"||t.side===\"right\"?o=t._depth+t.title.standoff+a*Nb:(t.side===\"top\"||t.side===\"left\")&&(o=t._depth+t.title.standoff+a*(hM+s*gM));else{var l=yM(t);if(t.type===\"multicategory\")o=t._depth;else{var u=1.5*a;l&&(u=.5*a,t.ticks===\"outside\"&&(u+=t.ticklen)),o=10+u+(t.linewidth?t.linewidth-1:0)}l||(i===\"x\"?o+=t.side===\"top\"?a*(t.showticklabels?1:0):a*(t.showticklabels?1.5:.5):o+=t.side===\"right\"?a*(t.showticklabels?1:.5):a*(t.showticklabels?.5:0))}var 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lt=XL(He,n,v);j=Math.max(j,lt),N+=lt}),P=null;var H=0;if(u){var re=0,ae=0,_e=0;t.each(function(){var He=0,lt=0;np.select(this).selectAll(\"g.traces\").each(function(Ht){var at=XL(Ht,n,v),ct=Ht[0].height;ph.setTranslate(this,E[0],E[1]+f+d+ct/2+lt),lt+=ct,He=Math.max(He,at),T[Ht[0].trace.legendgroup]=He});var mt=He+d;ae>0&&mt+f+ae>n._maxWidth?(H=Math.max(H,ae),ae=0,_e+=re+M,re=lt):re=Math.max(re,lt),ph.setTranslate(this,ae,_e),ae+=mt}),n._width=Math.max(H,ae)+f,n._height=_e+re+m}else{var Ee=r.size(),Ce=N+h+(Ee-1)*d<n._maxWidth,ge=0,ie=0,Se=0,ke=0;r.each(function(He){var lt=He[0].height,mt=XL(He,n,v,u),Ht=Ce?mt:j;c||(Ht+=d),Ht+f+ie-d>=n._maxWidth&&(H=Math.max(H,ke),ie=0,Se+=ge,n._height+=ge,ge=0),ph.setTranslate(this,E[0]+f+ie,E[1]+f+Se+lt/2+d),ke=ie+mt+d,ie+=Ht,ge=Math.max(ge,lt)}),Ce?(n._width=ie+h,n._height=ge+m):(n._width=Math.max(H,ke)+h,n._height+=ge+m)}}n._width=Math.ceil(Math.max(n._width+E[0],n._titleWidth+2*(f+qh.titlePad))),n._height=Math.ceil(Math.max(n._height+E[1],n._titleHeight+2*(f+qh.itemGap))),n._effHeight=Math.min(n._height,n._maxHeight);var be=e._context.edits,Be=be.legendText||be.legendPosition;r.each(function(He){var lt=np.select(this).select(\".\"+o+\"toggle\"),mt=He[0].height,Ht=He[0].trace.legendgroup,at=XL(He,n,v);u&&Ht!==\"\"&&(at=T[Ht]);var ct=Be?v:P||at;!l&&!c&&(ct+=d/2),ph.setRect(lt,0,-mt/2,ct,mt)});var Le=i.select(\".\"+o+\"titletext\");Le.node()&&yut(Le,n,f);var me=i.select(\".\"+o+\"titletoggle\");if(me.size()&&Le.node()){var 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Ht(Vi,Jn){for(H=0;H<G.length;H++)if(re=G[H],!(!re||!re[0]||!re[0].trace)&&(ae=re[0].trace,!(ae.visible!==!0||ae._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(ae._module.name)===-1)){if(Ce=h,kg.isUnifiedHover(Ce)&&(Ce=Ce.charAt(0)),ae.type===\"splom\"?(Ee=0,_e=a[Ee]):(_e=kg.getSubplot(ae),Ee=a.indexOf(_e)),Se={cd:re,trace:ae,xa:C[Ee],ya:S[Ee],maxHoverDistance:z,maxSpikeDistance:q,index:!1,distance:Math.min(mt,z),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:vd.defaultLine,name:ae.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},s[_e]&&(Se.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[ae.uid]&&(Se.scene=s._splomScenes[ae.uid]),Ce===\"array\"){var Yn=t[H];if(\"pointNumber\"in Yn){let Hi=re[Yn.pointNumber];Hi&&(Se.index=Yn.pointNumber,Hi.lonlat?(ge=Hi.lonlat[0],ie=Hi.lonlat[1]):(ge=Hi.x,ie=Hi.y)),Ce=\"closest\"}else Ce=\"\",\"xval\"in Yn&&(ge=Yn.xval,Ce=\"x\"),\"yval\"in Yn&&(ie=Yn.yval,Ce=Ce?\"closest\":\"y\")}else Vi!==void 0&&Jn!==void 0?(ge=Vi,ie=Jn):(ge=Z[Ee],ie=j[Ee]);if(ke=V.length,z!==0)if(ae._module&&ae._module.hoverPoints){var Gt=ae._module.hoverPoints(Se,ge,ie,Ce,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(Gt)for(var wt,tr=0;tr<Gt.length;tr++)wt=Gt[tr],Ry(wt.x0)&&Ry(wt.y0)&&V.push(Uut(wt,h))}else zf.log(\"Unrecognized trace type in hover:\",ae);if(h===\"closest\"&&V.length>ke&&(V.splice(0,ke),mt=V[0].distance),f&&q!==0&&V.length===0){Se.distance=q,Se.index=!1;var ir=ae._module.hoverPoints(Se,ge,ie,\"closest\",{hoverLayer:s._hoverlayer});if(ir&&(ir=ir.filter(function(Hi){return Hi.spikeDistance<=q})),ir&&ir.length){var wr,Xr=ir.filter(function(Hi){return Hi.xa.showspikes&&Hi.xa.spikesnap!==\"hovered data\"});if(Xr.length){var ti=Xr[0];Ry(ti.x0)&&Ry(ti.y0)&&(wr=ct(ti),(!be.vLinePoint||be.vLinePoint.spikeDistance>wr.spikeDistance)&&(be.vLinePoint=wr))}var $r=ir.filter(function(Hi){return Hi.ya.showspikes&&Hi.ya.spikesnap!==\"hovered data\"});if($r.length){var Ri=$r[0];Ry(Ri.x0)&&Ry(Ri.y0)&&(wr=ct(Ri),(!be.hLinePoint||be.hLinePoint.spikeDistance>wr.spikeDistance)&&(be.hLinePoint=wr))}}}}}Ht();function at(Vi,Jn,Yn){for(var Gt=null,wt=1/0,tr,ir=0;ir<Vi.length;ir++)m&&m._id!==Vi[ir].xa._id||b&&b._id!==Vi[ir].ya._id||(tr=Vi[ir].spikeDistance,Yn&&ir===0&&(tr=-1/0),tr<=wt&&tr<=Jn&&(Gt=Vi[ir],wt=tr));return Gt}function ct(Vi){return Vi?{xa:Vi.xa,ya:Vi.ya,x:Vi.xSpike!==void 0?Vi.xSpike:(Vi.x0+Vi.x1)/2,y:Vi.ySpike!==void 0?Vi.ySpike:(Vi.y0+Vi.y1)/2,distance:Vi.distance,spikeDistance:Vi.spikeDistance,curveNumber:Vi.trace.index,color:Vi.color,pointNumber:Vi.index}:null}var ar={fullLayout:s,container:s._hoverlayer,event:t},Vt=e._spikepoints,rr={vLinePoint:be.vLinePoint,hLinePoint:be.hLinePoint};e._spikepoints=rr;var tt=function(){var Vi=V.filter(function(Yn){return m&&m._id===Yn.xa._id&&b&&b._id===Yn.ya._id}),Jn=V.filter(function(Yn){return!(m&&m._id===Yn.xa._id&&b&&b._id===Yn.ya._id)});Vi.sort(Ble),Jn.sort(Ble),V=Vi.concat(Jn),V=Gut(V,h)};tt();var je=h.charAt(0),Ue=(je===\"x\"||je===\"y\")&&V[0]&&zut[V[0].trace.type];if(f&&q!==0&&V.length!==0){var Ae=V.filter(function(Vi){return Vi.ya.showspikes}),rt=at(Ae,q,Ue);be.hLinePoint=ct(rt);var St=V.filter(function(Vi){return Vi.xa.showspikes}),Tt=at(St,q,Ue);be.vLinePoint=ct(Tt)}if(V.length===0){var dt=$L.unhoverRaw(e,t);if(f&&(be.hLinePoint!==null||be.vLinePoint!==null)&&Vle(Vt)&&Ule(e,be,ar),s.hoveranywhere&&!n&&i){var Et=e._hoverdata;Et&&Et.length&&(e.emit(\"plotly_unhover\",{event:t,points:Et}),e._hoverdata=[]),Qn([])}return dt}if(f&&Vle(Vt)&&Ule(e,be,ar),kg.isXYhover(Ce)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var pt=V[0];Ole[pt.trace.type]?V=V.filter(Vi=>Vi.trace.index===pt.trace.index):V=[pt];var jt=V.length,or=Hle(\"x\",pt,s),mr=Hle(\"y\",pt,s);Ht(or,mr);var Ar=[],ei={},qr=0,jr=function(Vi){var Jn=Ole[Vi.trace.type]?Wle(Vi):Vi.trace.index;if(!ei[Jn])qr++,ei[Jn]=qr,Ar.push(Vi);else{var Yn=ei[Jn]-1,Gt=Ar[Yn];Yn>0&&Math.abs(Vi.distance)<Math.abs(Gt.distance)&&(Ar[Yn]=Vi)}},gt;for(gt=0;gt<jt;gt++)jr(V[gt]);for(gt=V.length-1;gt>jt-1;gt--)jr(V[gt]);V=Ar,tt()}var Ge=e._hoverdata,Je=[],We=Kle(e),et=Jle(e);for(let Vi of V){var xt=kg.makeEventData(Vi,Vi.trace,Vi.cd);if(Vi.hovertemplate!==!1){var At=!1;Vi.cd[Vi.index]&&Vi.cd[Vi.index].ht&&(At=Vi.cd[Vi.index].ht),Vi.hovertemplate=At||Vi.trace.hovertemplate||!1}if(Vi.xa&&Vi.ya){var Kt=Vi.x0+Vi.xa._offset,Qt=Vi.x1+Vi.xa._offset,Mr=Vi.y0+Vi.ya._offset,Gr=Vi.y1+Vi.ya._offset,Ir=Math.min(Kt,Qt),Yr=Math.max(Kt,Qt),_i=Math.min(Mr,Gr),Pi=Math.max(Mr,Gr);xt.bbox={x0:Ir+et,x1:Yr+et,y0:_i+We,y1:Pi+We},xt.xPixel=(Kt+Qt)/2,xt.yPixel=(Mr+Gr)/2}Vi.eventData=[xt],Je.push(xt)}e._hoverdata=Je;var ai=h===\"y\"&&(G.length>1||V.length>1)||h===\"closest\"&&Be&&V.length>1,mi=vd.combine(s.plot_bgcolor||vd.background,s.paper_bgcolor),un=Xle(V,{gd:e,hovermode:h,rotateLabels:ai,bgColor:mi,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),Fn=un.hoverLabels;if(kg.isUnifiedHover(h)||(But(Fn,ai,s,un.commonLabelBoundingBox),Yle(Fn,ai,s._invScaleX,s._invScaleY)),i&&i.tagName){var An=iT.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Je);Cut(Wb.select(i),An?\"pointer\":\"\")}var Hn=Vut(e,t,Ge);if(!i||n||!Hn&&!s.hoveranywhere)return;Ge&&Hn&&e.emit(\"plotly_unhover\",{event:t,points:Ge}),Qn(e._hoverdata);function Qn(Vi){e.emit(\"plotly_hover\",{event:t,points:Vi,xaxes:C,yaxes:S,xvals:Z,yvals:j})}}function Wle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var Out=/<extra>([\\s\\S]*)<\\/extra>/;function Xle(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||Xb.HOVERFONT,f=t.fontSize||Xb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,m=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,p=t.fontShadow||n.font.shadow,k=e[0],M=k.xa,T=k.ya,L=i.charAt(0),x=L+\"Label\",C=k[x];if(C===void 0&&M.type===\"multicategory\")for(var S=0;S<e.length&&(C=e[S][x],C===void 0);S++);var g=rT(r,l),P=g.top,E=g.width,z=g.height,q=C!==void 0&&k.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(q){var V=!0,G,Z;for(G=0;G<e.length;G++)if(V&&e[G].zLabel===void 0&&(V=!1),Z=e[G].hoverinfo||e[G].trace.hoverinfo,Z){var j=Array.isArray(Z)?Z:Z.split(\"+\");if(j.indexOf(\"all\")===-1&&j.indexOf(i)===-1){q=!1;break}}V&&(q=!1)}var N=s.selectAll(\"g.axistext\").data(q?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var H={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var dt=Wb.select(this),Et=zf.ensureSingle(dt,\"path\",\"\",function(_i){_i.style({\"stroke-width\":\"1px\"})}),pt=zf.ensureSingle(dt,\"text\",\"\",function(_i){_i.attr(\"data-notex\",1)}),jt=u.bgcolor||vd.defaultLine,or=u.bordercolor||vd.contrast(jt),mr=vd.contrast(jt),Ar=u.font,ei={weight:Ar.weight||h,style:Ar.style||d,variant:Ar.variant||v,textcase:Ar.textcase||m,lineposition:Ar.lineposition||b,shadow:Ar.shadow||p,family:Ar.family||c,size:Ar.size||f,color:Ar.color||mr};Et.style({fill:jt,stroke:or}),pt.text(C).call(Am.font,ei).call(A0.positionText,0,0).call(A0.convertToTspans,r),dt.attr(\"transform\",\"\");var qr=rT(r,pt.node()),jr,gt;if(i===\"x\"){var Ge=M.side===\"top\"?\"-\":\"\";pt.attr(\"text-anchor\",\"middle\").call(A0.positionText,0,M.side===\"top\"?P-qr.bottom-Qc-ol:P-qr.top+Qc+ol),jr=M._offset+(k.x0+k.x1)/2,gt=T._offset+(M.side===\"top\"?0:T._length);var Je=qr.width/2+ol,We=jr;jr<Je?We=Je:jr>n.width-Je&&(We=n.width-Je),Et.attr(\"d\",\"M\"+(jr-We)+\",0L\"+(jr-We+Qc)+\",\"+Ge+Qc+\"H\"+Je+\"v\"+Ge+(ol*2+qr.height)+\"H\"+-Je+\"V\"+Ge+Qc+\"H\"+(jr-We-Qc)+\"Z\"),jr=We,H.minX=jr-Je,H.maxX=jr+Je,M.side===\"top\"?(H.minY=gt-(ol*2+qr.height),H.maxY=gt-ol):(H.minY=gt+ol,H.maxY=gt+(ol*2+qr.height))}else{var et,xt,At;T.side===\"right\"?(et=\"start\",xt=1,At=\"\",jr=M._offset+M._length):(et=\"end\",xt=-1,At=\"-\",jr=M._offset),gt=T._offset+(k.y0+k.y1)/2,pt.attr(\"text-anchor\",et),Et.attr(\"d\",\"M0,0L\"+At+Qc+\",\"+Qc+\"V\"+(ol+qr.height/2)+\"h\"+At+(ol*2+qr.width)+\"V-\"+(ol+qr.height/2)+\"H\"+At+Qc+\"V-\"+Qc+\"Z\"),H.minY=gt-(ol+qr.height/2),H.maxY=gt+(ol+qr.height/2),T.side===\"right\"?(H.minX=jr+Qc,H.maxX=jr+Qc+(ol*2+qr.width)):(H.minX=jr-Qc-(ol*2+qr.width),H.maxX=jr-Qc);var Kt=qr.height/2,Qt=P-qr.top-Kt,Mr=\"clip\"+n._uid+\"commonlabel\"+T._id,Gr;if(jr<qr.width+2*ol+Qc){Gr=\"M-\"+(Qc+ol)+\"-\"+Kt+\"h-\"+(qr.width-ol)+\"V\"+Kt+\"h\"+(qr.width-ol)+\"Z\";var Ir=qr.width-jr+ol;A0.positionText(pt,Ir,Qt),et===\"end\"&&pt.selectAll(\"tspan\").each(function(){var _i=Wb.select(this),Pi=Am.tester.append(\"text\").text(_i.text()).call(Am.font,ei),ai=rT(r,Pi.node());Math.round(ai.width)<Math.round(qr.width)&&_i.attr(\"x\",Ir-ai.width),Pi.remove()})}else A0.positionText(pt,xt*(ol+Qc),Qt),Gr=null;var Yr=n._topclips.selectAll(\"#\"+Mr).data(Gr?[0]:[]);Yr.enter().append(\"clipPath\").attr(\"id\",Mr).append(\"path\"),Yr.exit().remove(),Yr.select(\"path\").attr(\"d\",Gr),Am.setClipUrl(pt,Gr?Mr:null,r)}dt.attr(\"transform\",KB(jr,gt))}),kg.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();let dt=e.filter(Et=>Et.hoverinfo!==\"none\");if(dt.length===0)return[];var re=n.hoverlabel,ae=re.font,_e=dt[0],Ee=((i===\"x unified\"?_e.xa:_e.ya).unifiedhovertitle||{}).text,Ce=Ee?zf.hovertemplateString({data:i===\"x unified\"?[{xa:_e.xa,x:_e.xVal}]:[{ya:_e.ya,y:_e.yVal}],fallback:_e.trace.hovertemplatefallback,locale:n._d3locale,template:Ee}):C,ge={showlegend:!0,legend:{title:{text:Ce,font:ae},font:ae,bgcolor:re.bgcolor,bordercolor:re.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},ie={font:ae};Put(ge,ie,r._fullData);var Se=ie.legend;Se.entries=[];for(var ke=0;ke<dt.length;ke++){var be=dt[ke];if(be.hoverinfo!==\"none\"){var Be=Nle(be,!0,i,n,C),Le=Be[0],me=Be[1];be.name=me,me!==\"\"?be.text=me+\" : \"+Le:be.text=Le;var Pe=be.cd[be.index];Pe&&(Pe.mc&&(be.mc=Pe.mc),Pe.mcc&&(be.mc=Pe.mcc),Pe.mlc&&(be.mlc=Pe.mlc),Pe.mlcc&&(be.mlc=Pe.mlcc),Pe.mlw&&(be.mlw=Pe.mlw),Pe.mrc&&(be.mrc=Pe.mrc),Pe.dir&&(be.dir=Pe.dir)),be._distinct=!0,Se.entries.push([be])}}Se.entries.sort(function(Et,pt){var jt=n.hoversort;if(jt===\"value descending\"||jt===\"value ascending\"){var or=i.charAt(0)===\"x\"?\"y\":\"x\",mr=Et[0][or+\"LabelVal\"],Ar=pt[0][or+\"LabelVal\"];if(mr!==Ar)return jt===\"value descending\"?Ar-mr:mr-Ar}return Et[0].trace.index-pt[0].trace.index}),Se.layer=s,Se._inHover=!0,Se._groupTitleFont=re.grouptitlefont,Iut(r,Se);var ce=s.select(\"g.legend\"),He=rT(r,ce.node()),lt=He.width+2*ol,mt=He.height+2*ol,Ht=dt[0],at=(Ht.x0+Ht.x1)/2,ct=(Ht.y0+Ht.y1)/2,ar=!(iT.traceIs(Ht.trace,\"bar-like\")||iT.traceIs(Ht.trace,\"box-violin\")),Vt,rr;L===\"y\"?ar?(rr=ct-ol,Vt=ct+ol):(rr=Math.min.apply(null,dt.map(function(Et){return Math.min(Et.y0,Et.y1)})),Vt=Math.max.apply(null,dt.map(function(Et){return Math.max(Et.y0,Et.y1)}))):rr=Vt=zf.mean(dt.map(function(Et){return(Et.y0+Et.y1)/2}))-mt/2;var tt,je;L===\"x\"?ar?(tt=at+ol,je=at-ol):(tt=Math.max.apply(null,dt.map(function(Et){return Math.max(Et.x0,Et.x1)})),je=Math.min.apply(null,dt.map(function(Et){return Math.min(Et.x0,Et.x1)}))):tt=je=zf.mean(dt.map(function(Et){return(Et.x0+Et.x1)/2}))-lt/2;var Ue=M._offset,Ae=T._offset;Vt+=Ae,tt+=Ue,je+=Ue-lt,rr+=Ae-mt;var rt,St;return tt+lt<E&&tt>=0?rt=tt:je+lt<E&&je>=0?rt=je:Ue+lt<E?rt=Ue:tt-at<at-je+lt?rt=E-lt:rt=0,rt+=ol,Vt+mt<z&&Vt>=0?St=Vt:rr+mt<z&&rr>=0?St=rr:Ae+mt<z?St=Ae:Vt-ct<ct-rr+mt?St=z-mt:St=0,St+=ol,ce.attr(\"transform\",KB(rt-1,St-1)),ce}var Tt=s.selectAll(\"g.hovertext\").data(e,function(dt){return Wle(dt)});return Tt.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var dt=Wb.select(this);dt.append(\"rect\").call(vd.fill,vd.addOpacity(o,.8)),dt.append(\"text\").classed(\"name\",!0),dt.append(\"path\").style(\"stroke-width\",\"1px\"),dt.append(\"text\").classed(\"nums\",!0).call(Am.font,{weight:h,style:d,variant:v,textcase:m,lineposition:b,shadow:p,family:c,size:f})}),Tt.exit().remove(),Tt.each(function(dt){var Et=Wb.select(this).attr(\"transform\",\"\"),pt=dt.color;Array.isArray(pt)&&(pt=pt[dt.eventData[0].pointNumber]);var jt=dt.bgcolor||pt,or=vd.combine(vd.opacity(jt)?jt:vd.defaultLine,o),mr=vd.combine(vd.opacity(pt)?pt:vd.defaultLine,o),Ar=dt.borderColor||vd.contrast(or),ei=Nle(dt,q,i,n,C,Et),qr=ei[0],jr=ei[1],gt=Et.select(\"text.nums\").call(Am.font,{family:dt.fontFamily||c,size:dt.fontSize||f,color:dt.fontColor||Ar,weight:dt.fontWeight||h,style:dt.fontStyle||d,variant:dt.fontVariant||v,textcase:dt.fontTextcase||m,lineposition:dt.fontLineposition||b,shadow:dt.fontShadow||p}).text(qr).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r),Ge=Et.select(\"text.name\"),Je=0,We=0;if(jr&&jr!==qr){Ge.call(Am.font,{family:dt.fontFamily||c,size:dt.fontSize||f,color:mr,weight:dt.fontWeight||h,style:dt.fontStyle||d,variant:dt.fontVariant||v,textcase:dt.fontTextcase||m,lineposition:dt.fontLineposition||b,shadow:dt.fontShadow||p}).text(jr).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r);var et=rT(r,Ge.node());Je=et.width+2*ol,We=et.height+2*ol}else Ge.remove(),Et.select(\"rect\").remove();Et.select(\"path\").style({fill:or,stroke:Ar});var xt=dt.xa._offset+(dt.x0+dt.x1)/2,At=dt.ya._offset+(dt.y0+dt.y1)/2,Kt=Math.abs(dt.x1-dt.x0),Qt=Math.abs(dt.y1-dt.y0),Mr=rT(r,gt.node()),Gr=Mr.width/n._invScaleX,Ir=Mr.height/n._invScaleY;dt.ty0=(P-Mr.top)/n._invScaleY,dt.bx=Gr+2*ol,dt.by=Math.max(Ir+2*ol,We),dt.anchor=\"start\",dt.txwidth=Gr,dt.tx2width=Je,dt.offset=0;var Yr=(Gr+Qc+ol+Je)*n._invScaleX,_i,Pi;if(a)dt.pos=xt,_i=At+Qt/2+Yr<=z,Pi=At-Qt/2-Yr>=0,(dt.idealAlign===\"top\"||!_i)&&Pi?(At-=Qt/2,dt.anchor=\"end\"):_i?(At+=Qt/2,dt.anchor=\"start\"):dt.anchor=\"middle\",dt.crossPos=At;else{if(dt.pos=At,_i=xt+Kt/2+Yr<=E,Pi=xt-Kt/2-Yr>=0,(dt.idealAlign===\"left\"||!_i)&&Pi)xt-=Kt/2,dt.anchor=\"end\";else if(_i)xt+=Kt/2,dt.anchor=\"start\";else{dt.anchor=\"middle\";var ai=Yr/2,mi=xt+ai-E,un=xt-ai;mi>0&&(xt-=mi),un<0&&(xt+=-un)}dt.crossPos=xt}gt.attr(\"text-anchor\",dt.anchor),Je&&Ge.attr(\"text-anchor\",dt.anchor),Et.attr(\"transform\",KB(xt,At)+(a?Eut(jle):\"\"))}),{hoverLabels:Tt,commonLabelBoundingBox:H}}function Nle(e,t,r,n,i,a){var f,h;var o=\"\",s=\"\";e.nameOverride!==void 0&&(e.name=e.nameOverride),e.name&&(e.trace._meta&&(e.name=zf.templateString(e.name,e.trace._meta)),o=Gle(e.name,e.nameLength));var l=r.charAt(0),u=l===\"x\"?\"y\":\"x\";e.zLabel!==void 0?(e.xLabel!==void 0&&(s+=\"x: \"+e.xLabel+\"<br>\"),e.yLabel!==void 0&&(s+=\"y: \"+e.yLabel+\"<br>\"),e.trace.type!==\"choropleth\"&&e.trace.type!==\"choroplethmapbox\"&&e.trace.type!==\"choroplethmap\"&&(s+=(s?\"z: \":\"\")+e.zLabel)):t&&e[l+\"Label\"]===i?s=e[u+\"Label\"]||\"\":e.xLabel===void 0?e.yLabel!==void 0&&e.trace.type!==\"scattercarpet\"&&(s=e.yLabel):e.yLabel===void 0?s=e.xLabel:s=\"(\"+e.xLabel+\", \"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"<br>\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"<br>\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o),(h=(f=e.trace)==null?void 0:f.hoverlabel)!=null&&h.split&&(e.hovertemplate=\"\");let{hovertemplate:c=!1}=e;if(c){let d=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(d[l+\"other\"]=d[l+\"Val\"],d[l+\"otherLabel\"]=d[l+\"Label\"]),s=zf.hovertemplateString({data:[e.eventData[0]||{},e.trace._meta],fallback:e.trace.hovertemplatefallback,labels:d,locale:n._d3locale,template:c}),s=s.replace(Out,(v,m)=>(o=Gle(m,e.nameLength),\"\"))}return[s,o]}function But(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,m=function(Z){return Z*r._invScaleX},b=function(Z){return Z*r._invScaleY};e.each(function(Z){var j=Z[i],N=Z[a],H=j._id.charAt(0)===\"x\",re=j.range;c===0&&re&&re[0]>re[1]!==H&&(s=-1);var 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s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,m=i.label.yanchor,b,p,k,M;if(c===\"line\"){s===\"start\"?(b=e,p=t):s===\"end\"?(b=r,p=n):(b=(e+r)/2,p=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var T={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var x=L[m];k=-u*h*x,M=u*d*x}else{var C=T[v],S=L[m];k=u*C,M=u*S}b=b+k,p=p+M}else k=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-k,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+k,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?p=Math.min(t,n):s.indexOf(\"bottom\")!==-1?p=Math.max(t,n):p=(t+n)/2,M=u,m===\"bottom\"?p=p-M:m===\"top\"&&(p=p+M);var g=Nct[m],P=i.label.font.size,E=o.height,z=(E*g-P)*h,q=-(E*g-P)*d;return{textx:b+z,texty:p+q,xanchor:v}}});var cP=ye((xor,Xue)=>{\"use strict\";var Gct=Pr(),Hct=Gct.strTranslate,Nue=yv(),Gue=Cg(),jct=Gue.drawMode,Hue=Gue.selectMode,jue=Oa(),Uue=ka(),uP=rP(),Wct=uP.i000,Xct=uP.i090,Zct=uP.i180,Yct=uP.i270,Kct=s_(),Wue=Kct.clearOutlineControllers,sN=y_(),lP=sN.pointsOnRectangle,oN=sN.pointsOnEllipse,Jct=sN.writePaths,$ct=sP().newShapes,Qct=sP().createShapeObj,eft=nN(),tft=aN();Xue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(oN(t[0])||n.hasText)&&s({redrawing:!0})}function s(j){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=$ct(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=eft(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&jue.call((j||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=jct(c),h=Hue(c);(f||h)&&(a._fullLayout._outlining=!0),Wue(a),r.attr(\"d\",Jct(t));var 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be=ge[1]-ie,Be=ge[2]-Se,Le=Be?5:Math.max(Math.min(25,Math.abs(be)-5),5),me=be?5:Math.max(Math.min(25,Math.abs(Be)-5),5);ke.classed(Be?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Le).attr(\"height\",me).attr(\"x\",ie-Le/2).attr(\"y\",Se-me/2).attr(\"transform\",Hct(be/2,Be/2))}else ke.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Se);d[N][Ee]={element:ke.node(),gd:a,prepFn:L,doneFn:C,clickFn:g},Nue.init(d[N][Ee])}}}function E(j,N){if(t.length)for(var H=0;H<t.length;H++)for(var re=0;re<t[H].length;re++)for(var ae=0;ae+2<t[H][re].length;ae+=2)t[H][re][ae+1]=p[H][re][ae+1]+j,t[H][re][ae+2]=p[H][re][ae+2]+N}function z(j,N){E(j,N),o()}function q(j){m=+j.srcElement.getAttribute(\"data-i\"),m||(m=0),v[m].moveFn=z}function V(){s()}function G(j){j===2&&ift(a)}function Z(){if(v=[],!!t.length){var j=0;v[j]={element:r[0][0],gd:a,prepFn:q,doneFn:V,clickFn:G},Nue.init(v[j])}}};function rft(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var 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t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&tce(e,i)}function fP(e){return!!e._fullLayout._outlining}function vP(e){return!e._context.edits.shapePosition}function tce(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Ep.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;let a=Array.isArray(n.xref)||Array.isArray(n.yref);if(n.layer===\"above\")s(e._fullLayout._shapeUpperLayer);else if(n.xref.includes(\"paper\")||n.yref.includes(\"paper\"))s(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\"&&!a)s(i.shapelayerBetween);else if(i._hadPlotinfo){var 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a=i.append(\"div\").classed(\"plotly-cloud-dialog\",!0),o=a.append(\"div\").classed(\"plotly-cloud-dialog-box\",!0);o.append(\"div\").classed(\"plotly-cloud-dialog-title\",!0).text(gP(t,\"Share with Plotly Cloud\")),o.append(\"div\").classed(\"plotly-cloud-dialog-message\",!0).text(gP(t,\"This chart and its data will be sent to\")+\" \"+r+\".\");var s=o.append(\"div\").classed(\"plotly-cloud-dialog-buttons\",!0);function l(){a.remove(),document.removeEventListener(\"keydown\",u)}function u(c){(c.key===\"Escape\"||c.keyCode===27)&&l()}document.addEventListener(\"keydown\",u),a.on(\"click\",function(){nce.event.target===a.node()&&l()}),s.append(\"button\").classed(\"plotly-cloud-dialog-btn\",!0).classed(\"plotly-cloud-dialog-btn--cancel\",!0).text(gP(t,\"Cancel\")).on(\"click\",l),s.append(\"button\").classed(\"plotly-cloud-dialog-btn\",!0).classed(\"plotly-cloud-dialog-btn--confirm\",!0).text(gP(t,\"Share\")).on(\"click\",function(){l(),n()})}});var vN=ye((Tor,vce)=>{\"use strict\";var S0=Oa(),dft=Mc(),sce=df(),Gl=eP(),vft=pP().eraseActiveShape,pft=oce(),mP=Pr(),sl=mP._,_l=vce.exports={};_l.toImage={name:\"toImage\",title:function(e){var t=e._context.toImageButtonOptions||{},r=t.format||\"png\";return r===\"png\"?sl(e,\"Download plot as a PNG\"):sl(e,\"Download plot\")},icon:Gl.camera,click:function(e){var t=e._context.toImageButtonOptions,r={format:t.format||\"png\"};mP.notifier(sl(e,\"Taking snapshot - this may take a few seconds\"),\"long\",e),[\"filename\",\"width\",\"height\",\"scale\"].forEach(function(n){n in t&&(r[n]=t[n])}),S0.call(\"downloadImage\",e,r).then(function(n){mP.notifier(sl(e,\"Snapshot succeeded\")+\" - \"+n,\"long\",e)}).catch(function(){mP.notifier(sl(e,\"Sorry, there was a problem downloading your snapshot!\"),\"long\",e)})}};_l.sendChartToCloud={name:\"sendChartToCloud\",title:function(e){return sl(e,\"Share with Plotly Cloud\")},icon:Gl.cloudupload,click:function(e){var t=(window.PLOTLYENV||{}).BASE_URL||e._context.plotlyServerURL;if(!t){console.error(\"No destination URL provided (plotlyServerURL is not set)\");return}try{new URL(t)}catch(r){console.error(\"Invalid plotlyServerURL: \"+t);return}pft(e,t,function(){dft.sendDataToCloud(e,t)})}};_l.sendDataToCloud=_l.sendChartToCloud;_l.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(e){return sl(e,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:Gl.zoombox,click:Bv};_l.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(e){return sl(e,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:Gl.pan,click:Bv};_l.select2d={name:\"select2d\",_cat:\"select\",title:function(e){return sl(e,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:Gl.selectbox,click:Bv};_l.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(e){return sl(e,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:Gl.lasso,click:Bv};_l.drawclosedpath={name:\"drawclosedpath\",title:function(e){return sl(e,\"Draw closed 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0&&(o[v+\".showspikes\"]=u._showSpikeInitial,l===\"on\"&&!u._showSpikeInitial&&(l=\"off\"));else{var b=[u.r2l(u.range[0]),u.r2l(u.range[1])],p=[h*b[0]+d*b[1],h*b[1]+d*b[0]];o[v+\".range[0]\"]=u.l2r(p[0]),o[v+\".range[1]\"]=u.l2r(p[1])}}else n===\"hovermode\"&&(i===\"x\"||i===\"y\")&&(i=a._isHoriz?\"y\":\"x\",r.setAttribute(\"data-val\",i)),o[n]=i;a._cartesianSpikesEnabled=l,S0.call(\"_guiRelayout\",e,o)}_l.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(e){return sl(e,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:Gl.zoombox,click:yP};_l.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(e){return sl(e,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:Gl.pan,click:yP};_l.orbitRotation={name:\"orbitRotation\",title:function(e){return sl(e,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:Gl[\"3d_rotate\"],click:yP};_l.tableRotation={name:\"tableRotation\",title:function(e){return sl(e,\"Turntable 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c=s[u],f=c+\".camera\",h=c+\".aspectratio\",d=c+\".aspectmode\",v=o[c]._scene,m;i?(l[f+\".up\"]=v.viewInitial.up,l[f+\".eye\"]=v.viewInitial.eye,l[f+\".center\"]=v.viewInitial.center,m=!0):a&&(l[f+\".up\"]=null,l[f+\".eye\"]=null,l[f+\".center\"]=null,m=!0),m&&(l[h+\".x\"]=v.viewInitial.aspectratio.x,l[h+\".y\"]=v.viewInitial.aspectratio.y,l[h+\".z\"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}S0.call(\"_guiRelayout\",e,l)}_l.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:gft};function lce(e,t){var r=t.currentTarget,n=r._previousVal,i=e._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var d=0;d<3;d++){var v=o[d],m=c+\".\"+v+\".showspikes\";l[m]=!1,s[m]=f[v].showspikes}}r._previousVal=s}return l}function gft(e,t){var r=lce(e,t);S0.call(\"_guiRelayout\",e,r)}_l.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Gl.zoom_plus,click:dN};_l.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(e){return sl(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:Gl.zoom_minus,click:dN};_l.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(e){return sl(e,\"Reset\")},attr:\"reset\",val:null,icon:Gl.autoscale,click:dN};_l.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:cce};function dN(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o=a._subplots.geo||[],s=0;s<o.length;s++){var l=o[s],u=a[l];if(n===\"zoom\"){var c=u.projection.scale,f=i===\"in\"?2*c:.5*c;S0.call(\"_guiRelayout\",e,l+\".projection.scale\",f)}}n===\"reset\"&&oT(e,\"geo\")}_l.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:Gl.tooltip_basic,gravity:\"ne\",click:cce};function uce(e){var t=e._fullLayout;return t.hovermode?!1:t._has(\"cartesian\")?t._isHoriz?\"y\":\"x\":\"closest\"}function cce(e){var t=uce(e);S0.call(\"_guiRelayout\",e,\"hovermode\",t)}_l.resetViewSankey={name:\"resetSankeyGroup\",title:function(e){return sl(e,\"Reset view\")},icon:Gl.home,click:function(e){for(var t={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<e._fullData.length;r++){var n=e._fullData[r]._viewInitial;t[\"node.groups\"].push(n.node.groups.slice()),t[\"node.x\"].push(n.node.x.slice()),t[\"node.y\"].push(n.node.y.slice())}S0.call(\"restyle\",e,t)}};_l.toggleHover={name:\"toggleHover\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:function(e,t){var r=lce(e,t);r.hovermode=uce(e),S0.call(\"_guiRelayout\",e,r)}};_l.resetViews={name:\"resetViews\",title:function(e){return sl(e,\"Reset views\")},icon:Gl.home,click:function(e,t){var r=t.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),Bv(e,t),r.setAttribute(\"data-attr\",\"resetLastSave\"),hN(e,t),oT(e,\"geo\"),oT(e,\"mapbox\"),oT(e,\"map\")}};_l.toggleSpikelines={name:\"toggleSpikelines\",title:function(e){return sl(e,\"Toggle Spike Lines\")},icon:Gl.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(e){var t=e._fullLayout,r=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled=r===\"on\"?\"off\":\"on\",S0.call(\"_guiRelayout\",e,mft(e))}};function mft(e){for(var t=e._fullLayout,r=t._cartesianSpikesEnabled===\"on\",n=sce.list(e,null,!0),i={},a=0;a<n.length;a++){var o=n[a];i[o._name+\".showspikes\"]=r?!0:o._showSpikeInitial}return i}_l.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(e){return sl(e,\"Reset view\")},attr:\"reset\",icon:Gl.home,click:function(e){oT(e,\"mapbox\")}};_l.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(e){return sl(e,\"Reset view\")},attr:\"reset\",icon:Gl.home,click:function(e){oT(e,\"map\")}};_l.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Gl.zoom_plus,click:fce};_l.zoomInMap={name:\"zoomInMap\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom 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pce=vN(),yft=Object.keys(pce),gce=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],mce=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(gce),sT=[],_ft=function(e){if(mce.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();sT.indexOf(t)===-1&&sT.push(t),sT.indexOf(r)===-1&&sT.push(r)}};yft.forEach(function(e){_ft(pce[e])});sT.sort();yce.exports={DRAW_MODES:gce,backButtons:mce,foreButtons:sT}});var gN=ye((Mor,_ce)=>{\"use strict\";var Sor=pN();_ce.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var bce=ye((Eor,xce)=>{\"use strict\";var xft=Pr(),CM=ka(),bft=vl(),wft=gN();xce.exports=function(t,r){var n=t.modebar||{},i=bft.newContainer(r,\"modebar\");function a(s,l){return xft.coerce(n,i,wft,s,l)}a(\"orientation\"),a(\"bgcolor\",CM.addOpacity(r.paper_bgcolor,.5));var o=CM.contrast(CM.rgb(r.modebar.bgcolor));a(\"color\",CM.addOpacity(o,.3)),a(\"activecolor\",CM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var Sce=ye((kor,Ace)=>{\"use strict\";var mN=Fa(),Tft=Eo(),_P=Pr(),wce=eP(),Aft=OS().version,Sft=new DOMParser;function Tce(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Cm=Tce.prototype;Cm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this.element.setAttribute(\"role\",\"toolbar\"),this._uid=i,this.element.className=\"modebar modebar--custom\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),_P.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Cm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Cm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Cm.createButton=function(e){var t=this,r=document.createElement(\"button\");r.setAttribute(\"type\",\"button\"),r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&(r.setAttribute(\"data-title\",n),r.setAttribute(\"aria-label\",n)),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&mN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||wce.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Cm.createIcon=function(e){var t=Tft(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=Sft.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Cm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=mN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:_P.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Cm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function Mft(e){return e+\" (v\"+Aft+\")\"}Cm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",Mft(_P._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(wce.newplotlylogo)),e.appendChild(t),e};Cm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Cm.destroy=function(){_P.removeElement(this.container.querySelector(\".modebar\"))};function Eft(e,t){var r=e._fullLayout,n=new Tce({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&mN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}Ace.exports=Eft});var kce=ye((Cor,Ece)=>{\"use strict\";var kft=df(),Mce=Ru(),yN=Oa(),Cft=ip().isUnifiedHover,Lft=Sce(),xP=vN(),Pft=pN().DRAW_MODES,Ift=Pr().extendDeep;Ece.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=Oft(a):!n.displayModeBar&&n.watermark?o=[]:o=Rft(t),i?i.update(t,o):r._modeBar=Lft(t,o)};function Rft(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,H){if(typeof H==\"string\"){if(H.toLowerCase()===N.toLowerCase())return!0}else{var re=H.name,ae=H._cat||H.name;if(re===N||ae===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var H=0;H<n.modeBarButtonsToRemove.length;H++)if(i(N,n.modeBarButtonsToRemove[H]))return!1;return!0})),l=n.modeBarButtonsToRemove.concat(o.filter(function(N){for(var H=0;H<n.modeBarButtonsToAdd.length;H++)if(i(N,n.modeBarButtonsToAdd[H]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),m=t._has(\"mapbox\"),b=t._has(\"map\"),p=t._has(\"polar\"),k=t._has(\"smith\"),M=t._has(\"sankey\"),T=Dft(t),L=Cft(t.hovermode),x=[];function C(N){if(N.length){for(var H=[],re=0;re<N.length;re++){for(var ae=N[re],_e=xP[ae],Ee=_e.name.toLowerCase(),Ce=(_e._cat||_e.name).toLowerCase(),ge=!1,ie=0;ie<l.length;ie++){var Se=l[ie].toLowerCase();if(Se===Ee||Se===Ce){ge=!0;break}}ge||H.push(xP[ae])}x.push(H)}}var S=[\"toImage\"];n.showSendToCloud?S.push(\"sendChartToCloud\"):n.showEditInChartStudio&&(console.warn([\"*showEditInChartStudio* is deprecated.\",\"Use *showSendToCloud* instead.\"].join(\" \")),S.push(\"sendChartToCloud\")),C(S);var g=[],P=[],E=[],z=[];(u||h||d||v)+f+c+m+b+p+k>1?(P=[\"toggleHover\"],E=[\"resetViews\"]):f?(g=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],E=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],E=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):m?(g=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],E=[\"resetViewMapbox\"]):b?(g=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],E=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:M?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],E=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(zft(r)||L)&&(P=[]),u&&!T&&(g=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],E[0]!==\"resetViews\"&&(E=[\"resetScale2d\"])),c?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!T||v?z=[\"zoom2d\",\"pan2d\"]:m||b||f?z=[\"pan2d\"]:p&&(z=[\"zoom2d\"]),Fft(r)&&z.push(\"select2d\",\"lasso2d\");var q=[],V=function(N){q.indexOf(N)===-1&&P.indexOf(N)!==-1&&q.push(N)};if(Array.isArray(s)){for(var G=[],Z=0;Z<s.length;Z++){var j=s[Z];typeof j==\"string\"?(j=j.toLowerCase(),Pft.indexOf(j)!==-1?(t._has(\"mapbox\")||t._has(\"map\")||t._has(\"cartesian\"))&&z.push(j):j===\"togglespikelines\"?V(\"toggleSpikelines\"):j===\"togglehover\"?V(\"toggleHover\"):j===\"hovercompare\"?V(\"hoverCompareCartesian\"):j===\"hoverclosest\"?(V(\"hoverClosestCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\")):j===\"v1hovermode\"&&(V(\"hoverClosestCartesian\"),V(\"hoverCompareCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\"))):G.push(j)}s=G}return C(z),C(g.concat(E)),C(q),qft(x,s)}function Dft(e){for(var t=kft.list({_fullLayout:e},null,!0),r=0;r<t.length;r++){var n=t[r].modebardisable;if(!t[r].fixedrange&&n!==\"autoscale+zoominout\"&&n!==\"zoominout+autoscale\")return!1}return!0}function Fft(e){for(var t=!1,r=0;r<e.length&&!t;r++){var n=e[r];!n._module||!n._module.selectPoints||(yN.traceIs(n,\"scatter-like\")?(Mce.hasMarkers(n)||Mce.hasText(n))&&(t=!0):yN.traceIs(n,\"box-violin\")?(n.boxpoints===\"all\"||n.points===\"all\")&&(t=!0):t=!0)}return t}function zft(e){for(var t=0;t<e.length;t++)if(!yN.traceIs(e[t],\"noHover\"))return!1;return!0}function qft(e,t){if(t.length)if(Array.isArray(t[0]))for(var r=0;r<t.length;r++)e.push(t[r]);else e.push(t);return e}function Oft(e){for(var t=Ift([],e),r=0;r<t.length;r++)for(var n=t[r],i=0;i<n.length;i++){var a=n[i];if(typeof a==\"string\")if(xP[a]!==void 0)t[r][i]=xP[a];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return t}});var _N=ye((Lor,Cce)=>{\"use strict\";Cce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:gN(),supplyLayoutDefaults:bce(),manage:kce()}});var xN=ye((Por,Lce)=>{\"use strict\";var Bft=Dh().FROM_BL;Lce.exports=function(t,r,n){n===void 0&&(n=Bft[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*n;t.range=t._input.range=[t.l2r(a+(i[0]-a)*r),t.l2r(a+(i[1]-a)*r)],t.setScale()}});var $b=ye(LM=>{\"use strict\";var Jb=Pr(),bN=Mg(),Lg=df().id2name,Nft=Rd(),Pce=xN(),Uft=xm(),Vft=fs().ALMOST_EQUAL,Gft=Dh().FROM_BL;LM.handleDefaults=function(e,t,r){var n=r.axIds,i=r.axHasImage,a=t._axisConstraintGroups=[],o=t._axisMatchGroups=[],s,l,u,c,f,h,d,v;for(s=0;s<n.length;s++)c=Lg(n[s]),f=e[c],h=t[c],Hft(f,h,{axIds:n,layoutOut:t,hasImage:i[c]});function m(S,g){for(s=0;s<S.length;s++){l=S[s];for(u in l)t[Lg(u)][g]=l}}for(m(o,\"_matchGroup\"),s=0;s<a.length;s++){l=a[s];for(u in l)if(h=t[Lg(u)],h.fixedrange){for(var b in l){var p=Lg(b);(e[p]||{}).fixedrange===!1&&Jb.warn(\"fixedrange was specified as false for axis \"+p+\" but was overridden because another axis in its constraint group has fixedrange true\"),t[p].fixedrange=!0}break}}for(s=0;s<a.length;){l=a[s];for(u in l){h=t[Lg(u)],h._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(l).length&&(a.splice(s,1),s--);break}s++}m(a,\"_constraintGroup\");var k=[\"constrain\",\"range\",\"autorange\",\"rangemode\",\"rangebreaks\",\"categoryorder\",\"categoryarray\"],M=!1,T=!1;function L(){v=h[d],d===\"rangebreaks\"&&(T=h._hasDayOfWeekBreaks)}for(s=0;s<o.length;s++){l=o[s];for(var x=0;x<k.length;x++){d=k[x],v=null;var C;for(u in l)if(c=Lg(u),f=e[c],h=t[c],d in h){if(!h.matches&&(C=h,d in f)){L();break}v===null&&d in f&&L()}if(d===\"range\"&&v&&f.range&&f.range.length===2&&f.range[0]!==null&&f.range[1]!==null&&(M=!0),d===\"autorange\"&&v===null&&M&&(v=!1),v===null&&d in C&&(v=C[d]),v!==null)for(u in l)h=t[Lg(u)],h[d]=d===\"range\"?v.slice():v,d===\"rangebreaks\"&&(h._hasDayOfWeekBreaks=T,Uft(h,t))}}};function Hft(e,t,r){var n=r.axIds,i=r.layoutOut,a=r.hasImage,o=i._axisConstraintGroups,s=i._axisMatchGroups,l=t._id,u=l.charAt(0),c=((i._splomAxes||{})[u]||{})[l]||{},f=t._id,h=f.charAt(0)===\"x\";t._matchGroup=null,t._constraintGroup=null;function d(z,q){return Jb.coerce(e,t,Nft,z,q)}d(\"constrain\",a?\"domain\":\"range\"),Jb.coerce(e,t,{constraintoward:{valType:\"enumerated\",values:h?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:h?\"center\":\"middle\"}},\"constraintoward\");var v=t.type,m,b,p=[];for(m=0;m<n.length;m++)if(b=n[m],b!==f){var k=i[Lg(b)];k.type===v&&p.push(b)}var M=Dce(o,f);if(M){var T=[];for(m=0;m<p.length;m++)b=p[m],M[b]||T.push(b);p=T}var L=p.length,x,C;L&&(e.matches||c.matches)&&(x=Jb.coerce(e,t,{matches:{valType:\"enumerated\",values:p,dflt:p.indexOf(c.matches)!==-1?c.matches:void 0}},\"matches\"));var S=a&&!h?t.anchor:void 0;if(L&&!x&&(e.scaleanchor||S)&&(C=Jb.coerce(e,t,{scaleanchor:{valType:\"enumerated\",values:p.concat([!1])}},\"scaleanchor\",S)),x){t._matchGroup=wN(s,f,x,1);var g=i[Lg(x)],P=Ice(i,t)/Ice(i,g);h!==(x.charAt(0)===\"x\")&&(P=(h?\"x\":\"y\")+P),wN(o,f,x,P)}else e.matches&&n.indexOf(e.matches)!==-1&&Jb.warn(\"ignored \"+t._name+'.matches: \"'+e.matches+'\" to avoid an infinite loop');if(C){var E=d(\"scaleratio\");E||(E=t.scaleratio=1),wN(o,f,C,E)}else e.scaleanchor&&n.indexOf(e.scaleanchor)!==-1&&Jb.warn(\"ignored \"+t._name+'.scaleanchor: \"'+e.scaleanchor+'\" to avoid either an infinite loop and possibly inconsistent scaleratios, or because this axis declares a *matches* constraint.')}function Ice(e,t){var r=t.domain;return r||(r=e[Lg(t.overlaying)].domain),r[1]-r[0]}function Dce(e,t){for(var r=0;r<e.length;r++)if(e[r][t])return e[r];return null}function wN(e,t,r,n){var i,a,o,s,l,u=Dce(e,t);u===null?(u={},u[t]=1,l=e.length,e.push(u)):l=e.indexOf(u);var c=Object.keys(u);for(i=0;i<e.length;i++)if(o=e[i],i!==l&&o[r]){var f=o[r];for(a=0;a<c.length;a++)s=c[a],o[s]=TN(f,TN(n,u[s]));e.splice(l,1);return}if(n!==1)for(a=0;a<c.length;a++){var h=c[a];u[h]=TN(n,u[h])}u[r]=1}function TN(e,t){var r=\"\",n=\"\",i,a;typeof e==\"string\"&&(r=e.match(/^[xy]*/)[0],i=r.length,e=+e.slice(i)),typeof t==\"string\"&&(n=t.match(/^[xy]*/)[0],a=n.length,t=+t.slice(a));var o=e*t;return!i&&!a?o:!i||!a||r.charAt(0)===n.charAt(0)?r+n+e*t:i===a?o:(i>a?r.slice(a):n.slice(i))+o}function jft(e,t){for(var r=t._size,n=r.h/r.w,i={},a=Object.keys(e),o=0;o<a.length;o++){var s=a[o],l=e[s];if(typeof l==\"string\"){var u=l.match(/^[xy]*/)[0],c=u.length;l=+l.slice(c);for(var f=u.charAt(0)===\"y\"?n:1/n,h=0;h<c;h++)l*=f}i[s]=l}return i}LM.enforce=function(t){var r=t._fullLayout,n=r._axisConstraintGroups||[],i,a,o,s,l,u,c,f;for(i=0;i<n.length;i++){o=jft(n[i],r);var h=Object.keys(o),d=1/0,v=0,m=1/0,b={},p={},k=!1;for(a=0;a<h.length;a++)s=h[a],p[s]=l=r[Lg(s)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),b[s]=u=Math.abs(l._m)/o[s],d=Math.min(d,u),(l.constrain===\"domain\"||!l._constraintShrinkable)&&(m=Math.min(m,u)),delete l._constraintShrinkable,v=Math.max(v,u),l.constrain===\"domain\"&&(k=!0);if(!(d>Vft*v&&!k)){for(a=0;a<h.length;a++)if(s=h[a],u=b[s],l=p[s],c=l.constrain,u!==m||c===\"domain\")if(f=u/m,c===\"range\")Pce(l,f);else{var M=l._inputDomain,T=(l.domain[1]-l.domain[0])/(M[1]-M[0]),L=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if(f/=T,f*L<1){l.domain=l._input.domain=M.slice(),Pce(l,f);continue}if(L<1&&(l.range=l._input.range=l._inputRange.slice(),f*=L),l.autorange){var x=l.r2l(l.range[0]),C=l.r2l(l.range[1]),S=(x+C)/2,g=S,P=S,E=Math.abs(C-S),z=S-E*f*1.0001,q=S+E*f*1.0001,V=bN.makePadFn(r,l,0),G=bN.makePadFn(r,l,1);Rce(l,f);var Z=Math.abs(l._m),j=bN.concatExtremes(t,l),N=j.min,H=j.max,re,ae;for(ae=0;ae<N.length;ae++)re=N[ae].val-V(N[ae])/Z,re>z&&re<g&&(g=re);for(ae=0;ae<H.length;ae++)re=H[ae].val+G(H[ae])/Z,re<q&&re>P&&(P=re);var _e=(P-g)/(2*E);f/=_e,g=l.l2r(g),P=l.l2r(P),l.range=l._input.range=x<C?[g,P]:[P,g]}Rce(l,f)}}}};LM.getAxisGroup=function(t,r){for(var n=t._axisMatchGroups,i=0;i<n.length;i++){var a=n[i];if(a[r])return\"g\"+i}return r};LM.clean=function(t,r){if(r._inputDomain){for(var n=!1,i=r._id,a=t._fullLayout._axisConstraintGroups,o=0;o<a.length;o++)if(a[o][i]){n=!0;break}(!n||r.constrain!==\"domain\")&&(r._input.domain=r.domain=r._inputDomain,delete r._inputDomain)}};function Rce(e,t){var r=e._inputDomain,n=Gft[e.constraintoward],i=r[0]+(r[1]-r[0])*n;e.domain=e._input.domain=[i+(r[0]-i)/t,i+(r[1]-i)/t],e.setScale()}});var RM=ye(pd=>{\"use 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ce=Le._lw/2;if(Le._id.charAt(0)===\"x\"){if(me){if(Pe===\"top\")return me._offset-n-ce}else return r.t+r.h*(1-(Le.position||0))+ce%1;return me._offset+me._length+n+ce}if(me){if(Pe===\"right\")return me._offset+me._length+n+ce}else return r.l+r.w*(Le.position||0)+ce%1;return me._offset-n-ce}for(a=0;a<i.length;a++){l=i[a];var h=l._anchorAxis;l._linepositions={},l._lw=lT.crispRound(e,l.linewidth,1),l._mainLinePosition=f(l,h,l.side),l._mainMirrorPosition=l.mirror&&h?f(l,h,zy.OPPOSITE_SIDE[l.side]):null}var d=[],v=[],m=[],b=PM.opacity(t.paper_bgcolor)===1&&PM.opacity(t.plot_bgcolor)===1&&t.paper_bgcolor===t.plot_bgcolor;for(o in t._plots)if(s=t._plots[o],s.mainplot)s.bg&&s.bg.remove(),s.bg=void 0;else{var p=s.xaxis.domain,k=s.yaxis.domain,M=s.plotgroup;if(Kft(p,k,m)&&o.indexOf(Yft)===-1){var T=M.node(),L=s.bg=M0.ensureSingle(M,\"rect\",\"bg\");T.insertBefore(L.node(),T.childNodes[0]),v.push(o)}else M.select(\"rect.bg\").remove(),m.push([p,k]),b||(d.push(o),v.push(o))}var x=t._bgLayer.selectAll(\".bg\").data(d);for(x.enter().append(\"rect\").classed(\"bg\",!0),x.exit().remove(),x.each(function(Le){t._plots[Le].bg=wP.select(this)}),a=0;a<v.length;a++)s=t._plots[v[a]],u=s.xaxis,c=s.yaxis,s.bg&&u._offset!==void 0&&c._offset!==void 0&&s.bg.call(lT.setRect,u._offset-n,c._offset-n,u._length+2*n,c._length+2*n).call(PM.fill,t.plot_bgcolor).style(\"stroke-width\",0);if(!t._hasOnlyLargeSploms)for(o in t._plots){s=t._plots[o],u=s.xaxis,c=s.yaxis;var C=s.clipId=\"clip\"+t._uid+o+\"plot\",S=M0.ensureSingleById(t._clips,\"clipPath\",C,function(Le){Le.classed(\"plotclip\",!0).append(\"rect\")});s.clipRect=S.select(\"rect\").attr({width:u._length,height:c._length}),lT.setTranslate(s.plot,u._offset,c._offset);var g,P;s._hasClipOnAxisFalse?(g=null,P=C):(g=C,P=null),lT.setClipUrl(s.plot,g,e),s.layerClipId=P}var E,z,q,V,G,Z,j,N,H,re,ae,_e,Ee;function Ce(Le){return\"M\"+E+\",\"+Le+\"H\"+z}function ge(Le){return\"M\"+u._offset+\",\"+Le+\"h\"+u._length}function ie(Le){return\"M\"+Le+\",\"+N+\"V\"+j}function Se(Le){return c._shift!==void 0&&(Le+=c._shift),\"M\"+Le+\",\"+c._offset+\"v\"+c._length}function ke(Le,me,Pe){if(!Le.showline||o!==Le._mainSubplot)return\"\";if(!Le._anchorAxis)return Pe(Le._mainLinePosition);var ce=me(Le._mainLinePosition);return Le.mirror&&(ce+=me(Le._mainMirrorPosition)),ce}for(o in t._plots){s=t._plots[o],u=s.xaxis,c=s.yaxis;var be=\"M0,0\";qce(u,o)&&(G=bP(u,\"left\",c,i),E=u._offset-(G?n+G:0),Z=bP(u,\"right\",c,i),z=u._offset+u._length+(Z?n+Z:0),q=f(u,c,\"bottom\"),V=f(u,c,\"top\"),Ee=!u._anchorAxis||o!==u._mainSubplot,Ee&&(u.mirror===\"allticks\"||u.mirror===\"all\")&&(u._linepositions[o]=[q,V]),be=ke(u,Ce,ge),Ee&&u.showline&&(u.mirror===\"all\"||u.mirror===\"allticks\")&&(be+=Ce(q)+Ce(V)),s.xlines.style(\"stroke-width\",u._lw+\"px\").call(PM.stroke,u.showline?u.linecolor:\"rgba(0,0,0,0)\")),s.xlines.attr(\"d\",be);var Be=\"M0,0\";qce(c,o)&&(ae=bP(c,\"bottom\",u,i),j=c._offset+c._length+(ae?n:0),_e=bP(c,\"top\",u,i),N=c._offset-(_e?n:0),H=f(c,u,\"left\"),re=f(c,u,\"right\"),Ee=!c._anchorAxis||o!==c._mainSubplot,Ee&&(c.mirror===\"allticks\"||c.mirror===\"all\")&&(c._linepositions[o]=[H,re]),Be=ke(c,ie,Se),Ee&&c.showline&&(c.mirror===\"all\"||c.mirror===\"allticks\")&&(Be+=ie(H)+ie(re)),s.ylines.style(\"stroke-width\",c._lw+\"px\").call(PM.stroke,c.showline?c.linecolor:\"rgba(0,0,0,0)\")),s.ylines.attr(\"d\",Be)}return IM.makeClipPaths(e),Jp.previousPromises(e)}function qce(e,t){return(e.ticks||e.showline)&&(t===e._mainSubplot||e.mirror===\"all\"||e.mirror===\"allticks\")}function Oce(e,t,r){if(!r.showline||!r._lw)return!1;if(r.mirror===\"all\"||r.mirror===\"allticks\")return!0;var n=r._anchorAxis;if(!n)return!1;var i=zy.FROM_BL[t];return r.side===t?n.domain[i]===e.domain[i]:r.mirror&&n.domain[1-i]===e.domain[1-i]}function bP(e,t,r,n){if(Oce(e,t,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&Oce(e,t,a))return a._lw}return 0}pd.drawMainTitle=function(e){var t=e._fullLayout.title,r=e._fullLayout,n=nht(r),i=aht(r),a=iht(r,i),o=rht(r,n);if(Fce.draw(e,\"gtitle\",{propContainer:r,propName:\"title.text\",subtitlePropName:\"title.subtitle.text\",placeholder:r._dfltTitle.plot,subtitlePlaceholder:r._dfltTitle.subtitle,attributes:{x:o,y:a,\"text-anchor\":n,dy:i}}),t.text&&t.automargin){var s=wP.select(e).selectAll(\".gtitle\"),l=lT.bBox(wP.select(e).selectAll(\".g-gtitle\").node()).height,u=eht(e,t,l);if(u>0){tht(e,a,u,l),s.attr({x:o,y:a,\"text-anchor\":n,dy:Bce(t.yanchor)}).call(AN.positionText,o,a);var c=(t.text.match(AN.BR_TAG_ALL)||[]).length;if(c){var f=zy.LINE_SPACING*c+zy.MID_SHIFT;t.y===0&&(f=-f),s.selectAll(\".line\").each(function(){var b=+this.getAttribute(\"dy\").slice(0,-2)-f+\"em\";this.setAttribute(\"dy\",b)})}var h=wP.select(e).selectAll(\".gtitle-subtitle\");if(h.node()){var d=s.node().getBBox(),v=d.y+d.height,m=v+Fce.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:m,\"text-anchor\":n,dy:Bce(t.yanchor)}).call(AN.positionText,o,m)}}}};function $ft(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=M0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return M0.isTopAnchor(t)&&r===\"t\"||M0.isBottomAnchor(t)&&r===\"b\"?!1:s<i}function Qft(e,t,r,n,i){var a=0;return r===\"middle\"&&(a+=i/2),e===\"t\"?(r===\"top\"&&(a+=i),a+=n-t*n):(r===\"bottom\"&&(a+=i),a+=t*n),a}function eht(e,t,r){var n=t.y,i=t.yanchor,a=n>.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=Qft(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function tht(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&$ft(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function rht(e,t){var r=e.title,n=e._size,i=0;return t===Vce?i=r.pad.l:t===Gce&&(i=-r.pad.r),r.xref===\"paper\"?n.l+n.w*r.x+i:e.width*r.x+i}function iht(e,t){var r=e.title,n=e._size,i=0;return t===\"0em\"||!t?i=-r.pad.b:t===zy.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\"?n.t/2:r.yref===\"paper\"?n.t+n.h-n.h*r.y+i:e.height-e.height*r.y+i}function Bce(e){return e===\"top\"?zy.CAP_SHIFT+.3+\"em\":e===\"bottom\"?\"-0.3em\":zy.MID_SHIFT+\"em\"}function nht(e){var t=e.title,r=Zft;return M0.isRightAnchor(t)?r=Gce:M0.isLeftAnchor(t)&&(r=Vce),r}function aht(e){var t=e.title,r=\"0em\";return M0.isTopAnchor(t)?r=zy.CAP_SHIFT+\"em\":M0.isMiddleAnchor(t)&&(r=zy.MID_SHIFT+\"em\"),r}pd.doTraceStyle=function(e){var t=e.calcdata,r=[],n;for(n=0;n<t.length;n++){var i=t[n],a=i[0]||{},o=a.trace||{},s=o._module||{},l=s.arraysToCalcdata;l&&l(i,o);var u=s.editStyle;u&&r.push({fn:u,cd0:a})}if(r.length){for(n=0;n<r.length;n++){var c=r[n];c.fn(e,c.cd0)}SN(e),pd.redrawReglTraces(e)}return Jp.style(e),Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doColorBars=function(e){return Nv.getComponentMethod(\"colorbar\",\"draw\")(e),Jp.previousPromises(e)};pd.layoutReplot=function(e){var t=e.layout;return e.layout=void 0,Nv.call(\"_doPlot\",e,\"\",t)};pd.doLegend=function(e){return Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doTicksRelayout=function(e){return IM.draw(e,\"redraw\"),e._fullLayout._hasOnlyLargeSploms&&(Nv.subplotsRegistry.splom.updateGrid(e),SN(e),pd.redrawReglTraces(e)),pd.drawMainTitle(e),Jp.previousPromises(e)};pd.doModeBar=function(e){var t=e._fullLayout;Nce.manage(e);for(var r=0;r<t._basePlotModules.length;r++){var n=t._basePlotModules[r].updateFx;n&&n(e)}return Jp.previousPromises(e)};pd.doCamera=function(e){for(var t=e._fullLayout,r=t._subplots.gl3d,n=0;n<r.length;n++){var i=t[r[n]],a=i._scene;a.setViewport(i)}};pd.drawData=function(e){var t=e._fullLayout;SN(e);for(var r=t._basePlotModules,n=0;n<r.length;n++)r[n].plot(e);return pd.redrawReglTraces(e),Jp.style(e),Nv.getComponentMethod(\"selections\",\"draw\")(e),Nv.getComponentMethod(\"shapes\",\"draw\")(e),Nv.getComponentMethod(\"annotations\",\"draw\")(e),Nv.getComponentMethod(\"images\",\"draw\")(e),t._replotting=!1,Jp.previousPromises(e)};pd.redrawReglTraces=function(e){var t=e._fullLayout;if(t._has(\"regl\")){var r=e._fullData,n=[],i=[],a,o;for(t._hasOnlyLargeSploms&&t._splomGrid.draw(),a=0;a<r.length;a++){var s=r[a];s.visible===!0&&s._length!==0&&(s.type===\"splom\"?t._splomScenes[s.uid].draw():s.type===\"scattergl\"?M0.pushUnique(n,s.xaxis+s.yaxis):s.type===\"scatterpolargl\"&&M0.pushUnique(i,s.subplot))}for(a=0;a<n.length;a++)o=t._plots[n[a]],o._scene&&o._scene.draw();for(a=0;a<i.length;a++)o=t[i[a]]._subplot,o._scene&&o._scene.draw()}};pd.doAutoRangeAndConstraints=function(e){for(var t=IM.list(e,\"\",!0),r,n={},i=0;i<t.length;i++)if(r=t[i],!n[r._id]){n[r._id]=1,Xft(e,r),zce(e,r);var a=r._matchGroup;if(a)for(var o in a){var s=IM.getFromId(e,o);zce(e,s,r.range),n[o]=1}}Wft(e)};pd.finalDraw=function(e){Nv.getComponentMethod(\"rangeslider\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e)};pd.drawMarginPushers=function(e){Nv.getComponentMethod(\"legend\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e),Nv.getComponentMethod(\"sliders\",\"draw\")(e),Nv.getComponentMethod(\"updatemenus\",\"draw\")(e),Nv.getComponentMethod(\"colorbar\",\"draw\")(e)}});var kN=ye((Dor,Zce)=>{\"use strict\";var oht=y_().readPaths,sht=cP(),Hce=s_().clearOutlineControllers,MN=ka(),jce=So(),lht=vl().arrayEditor,Wce=b_(),uht=Wce.getPathString;Zce.exports={draw:TP,drawOne:Xce,activateLastSelection:hht};function TP(e){var t=e._fullLayout;Hce(e),t._selectionLayer.selectAll(\"path\").remove();for(var r in t._plots){var n=t._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<t.selections.length;i++)Xce(e,i)}function AP(e){return e._context.editSelection}function Xce(e,t){e._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+t+'\"]').remove();var r=Wce.makeSelectionsOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input)return;a(e._fullLayout._selectionLayer);function a(o){var s=uht(e,n),l={\"data-index\":t,\"fill-rule\":\"evenodd\",d:s},u=n.opacity,c=\"rgba(0,0,0,0)\",f=n.line.color||MN.contrast(e._fullLayout.plot_bgcolor),h=n.line.width,d=n.line.dash;h||(h=5,d=\"solid\");var v=AP(e)&&e._fullLayout._activeSelectionIndex===t;v&&(c=e._fullLayout.activeselection.fillcolor,u=e._fullLayout.activeselection.opacity);for(var m=[],b=1;b>=0;b--){var p=o.append(\"path\").attr(l).style(\"opacity\",b?.1:u).call(MN.stroke,f).call(MN.fill,c).call(jce.dashLine,b?\"solid\":d,b?4+h:h);if(cht(p,e,n),v){var k=lht(e.layout,\"selections\",n);p.style({cursor:\"move\"});var M={element:p.node(),plotinfo:i,gd:e,editHelpers:k,isActiveSelection:!0},T=oht(s,e);sht(T,p,M)}else p.style(\"pointer-events\",b?\"all\":\"none\");m[b]=p}var L=m[0],x=m[1];x.node().addEventListener(\"click\",function(){return fht(e,L)})}}function cht(e,t,r){var n=r.xref+r.yref;jce.setClipUrl(e,\"clip\"+t._fullLayout._uid+n,t)}function fht(e,t){if(AP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeSelectionIndex){EN(e);return}e._fullLayout._activeSelectionIndex=n,e._fullLayout._deactivateSelection=EN,TP(e)}}}function hht(e){if(AP(e)){var t=e._fullLayout.selections.length-1;e._fullLayout._activeSelectionIndex=t,e._fullLayout._deactivateSelection=EN,TP(e)}}function EN(e){if(AP(e)){var t=e._fullLayout._activeSelectionIndex;t>=0&&(Hce(e),delete e._fullLayout._activeSelectionIndex,TP(e))}}});var Kce=ye((For,Yce)=>{function dht(){var e,t=0,r=!1;function n(i,a){return e.list.push({type:i,data:a?JSON.parse(JSON.stringify(a)):void 0}),e}return e={list:[],segmentId:function(){return t++},checkIntersection:function(i,a){return n(\"check\",{seg1:i,seg2:a})},segmentChop:function(i,a){return n(\"div_seg\",{seg:i,pt:a}),n(\"chop\",{seg:i,pt:a})},statusRemove:function(i){return n(\"pop_seg\",{seg:i})},segmentUpdate:function(i){return n(\"seg_update\",{seg:i})},segmentNew:function(i,a){return n(\"new_seg\",{seg:i,primary:a})},segmentRemove:function(i){return n(\"rem_seg\",{seg:i})},tempStatus:function(i,a,o){return n(\"temp_status\",{seg:i,above:a,below:o})},rewind:function(i){return n(\"rewind\",{seg:i})},status:function(i,a,o){return n(\"status\",{seg:i,above:a,below:o})},vert:function(i){return i===r?e:(r=i,n(\"vert\",{x:i}))},log:function(i){return typeof i!=\"string\"&&(i=JSON.stringify(i,!1,\"  \")),n(\"log\",{txt:i})},reset:function(){return n(\"reset\")},selected:function(i){return n(\"selected\",{segs:i})},chainStart:function(i){return n(\"chain_start\",{seg:i})},chainRemoveHead:function(i,a){return n(\"chain_rem_head\",{index:i,pt:a})},chainRemoveTail:function(i,a){return n(\"chain_rem_tail\",{index:i,pt:a})},chainNew:function(i,a){return n(\"chain_new\",{pt1:i,pt2:a})},chainMatch:function(i){return n(\"chain_match\",{index:i})},chainClose:function(i){return n(\"chain_close\",{index:i})},chainAddHead:function(i,a){return n(\"chain_add_head\",{index:i,pt:a})},chainAddTail:function(i,a){return n(\"chain_add_tail\",{index:i,pt:a})},chainConnect:function(i,a){return n(\"chain_con\",{index1:i,index2:a})},chainReverse:function(i){return n(\"chain_rev\",{index:i})},chainJoin:function(i,a){return n(\"chain_join\",{index1:i,index2:a})},done:function(){return n(\"done\")}},e}Yce.exports=dht});var $ce=ye((zor,Jce)=>{function vht(e){typeof e!=\"number\"&&(e=1e-10);var t={epsilon:function(r){return typeof r==\"number\"&&(e=r),e},pointAboveOrOnLine:function(r,n,i){var a=n[0],o=n[1],s=i[0],l=i[1],u=r[0],c=r[1];return(s-a)*(c-o)-(l-o)*(u-a)>=-e},pointBetween:function(r,n,i){var a=r[1]-n[1],o=i[0]-n[0],s=r[0]-n[0],l=i[1]-n[1],u=s*o+a*l;if(u<e)return!1;var c=o*o+l*l;return!(u-c>-e)},pointsSameX:function(r,n){return Math.abs(r[0]-n[0])<e},pointsSameY:function(r,n){return Math.abs(r[1]-n[1])<e},pointsSame:function(r,n){return t.pointsSameX(r,n)&&t.pointsSameY(r,n)},pointsCompare:function(r,n){return t.pointsSameX(r,n)?t.pointsSameY(r,n)?0:r[1]<n[1]?-1:1:r[0]<n[0]?-1:1},pointsCollinear:function(r,n,i){var a=r[0]-n[0],o=r[1]-n[1],s=n[0]-i[0],l=n[1]-i[1];return Math.abs(a*l-s*o)<e},linesIntersect:function(r,n,i,a){var o=n[0]-r[0],s=n[1]-r[1],l=a[0]-i[0],u=a[1]-i[1],c=o*u-s*l;if(Math.abs(c)<e)return!1;var f=r[0]-i[0],h=r[1]-i[1],d=(l*h-u*f)/c,v=(o*h-s*f)/c,m={alongA:0,alongB:0,pt:[r[0]+d*o,r[1]+d*s]};return d<=-e?m.alongA=-2:d<e?m.alongA=-1:d-1<=-e?m.alongA=0:d-1<e?m.alongA=1:m.alongA=2,v<=-e?m.alongB=-2:v<e?m.alongB=-1:v-1<=-e?m.alongB=0:v-1<e?m.alongB=1:m.alongB=2,m},pointInsideRegion:function(r,n){for(var i=r[0],a=r[1],o=n[n.length-1][0],s=n[n.length-1][1],l=!1,u=0;u<n.length;u++){var c=n[u][0],f=n[u][1];f-a>e!=s-a>e&&(o-c)*(a-f)/(s-f)+c-i>e&&(l=!l),o=c,s=f}return l}};return t}Jce.exports=vht});var efe=ye((qor,Qce)=>{var pht={create:function(){var e={root:{root:!0,next:null},exists:function(t){return!(t===null||t===e.root)},isEmpty:function(){return e.root.next===null},getHead:function(){return e.root.next},insertBefore:function(t,r){for(var n=e.root,i=e.root.next;i!==null;){if(r(i)){t.prev=i.prev,t.next=i,i.prev.next=t,i.prev=t;return}n=i,i=i.next}n.next=t,t.prev=n,t.next=null},findTransition:function(t){for(var r=e.root,n=e.root.next;n!==null&&!t(n);)r=n,n=n.next;return{before:r===e.root?null:r,after:n,insert:function(i){return i.prev=r,i.next=n,r.next=i,n!==null&&(n.prev=i),i}}}};return e},node:function(e){return e.prev=null,e.next=null,e.remove=function(){e.prev.next=e.next,e.next&&(e.next.prev=e.prev),e.prev=null,e.next=null},e}};Qce.exports=pht});var rfe=ye((Oor,tfe)=>{var DM=efe();function ght(e,t,r){function n(v,m){return{id:r?r.segmentId():-1,start:v,end:m,myFill:{above:null,below:null},otherFill:null}}function i(v,m,b){return{id:r?r.segmentId():-1,start:v,end:m,myFill:{above:b.myFill.above,below:b.myFill.below},otherFill:null}}var a=DM.create();function o(v,m,b,p,k,M){var T=t.pointsCompare(m,k);return T!==0?T:t.pointsSame(b,M)?0:v!==p?v?1:-1:t.pointAboveOrOnLine(b,p?k:M,p?M:k)?1:-1}function s(v,m){a.insertBefore(v,function(b){var p=o(v.isStart,v.pt,m,b.isStart,b.pt,b.other.pt);return p<0})}function l(v,m){var b=DM.node({isStart:!0,pt:v.start,seg:v,primary:m,other:null,status:null});return s(b,v.end),b}function u(v,m,b){var p=DM.node({isStart:!1,pt:m.end,seg:m,primary:b,other:v,status:null});v.other=p,s(p,v.pt)}function c(v,m){var b=l(v,m);return u(b,v,m),b}function f(v,m){r&&r.segmentChop(v.seg,m),v.other.remove(),v.seg.end=m,v.other.pt=m,s(v.other,v.pt)}function h(v,m){var b=i(m,v.seg.end,v.seg);return f(v,m),c(b,v.primary)}function d(v,m){var b=DM.create();function p(G,Z){var j=G.seg.start,N=G.seg.end,H=Z.seg.start,re=Z.seg.end;return t.pointsCollinear(j,H,re)?t.pointsCollinear(N,H,re)||t.pointAboveOrOnLine(N,H,re)?1:-1:t.pointAboveOrOnLine(j,H,re)?1:-1}function k(G){return b.findTransition(function(Z){var j=p(G,Z.ev);return j>0})}function M(G,Z){var j=G.seg,N=Z.seg,H=j.start,re=j.end,ae=N.start,_e=N.end;r&&r.checkIntersection(j,N);var Ee=t.linesIntersect(H,re,ae,_e);if(Ee===!1){if(!t.pointsCollinear(H,re,ae)||t.pointsSame(H,_e)||t.pointsSame(re,ae))return!1;var Ce=t.pointsSame(H,ae),ge=t.pointsSame(re,_e);if(Ce&&ge)return Z;var ie=!Ce&&t.pointBetween(H,ae,_e),Se=!ge&&t.pointBetween(re,ae,_e);if(Ce)return Se?h(Z,re):h(G,_e),Z;ie&&(ge||(Se?h(Z,re):h(G,_e)),h(Z,H))}else Ee.alongA===0&&(Ee.alongB===-1?h(G,ae):Ee.alongB===0?h(G,Ee.pt):Ee.alongB===1&&h(G,_e)),Ee.alongB===0&&(Ee.alongA===-1?h(Z,H):Ee.alongA===0?h(Z,Ee.pt):Ee.alongA===1&&h(Z,re));return!1}for(var T=[];!a.isEmpty();){var L=a.getHead();if(r&&r.vert(L.pt[0]),L.isStart){let G=function(){if(C){var Z=M(L,C);if(Z)return Z}return S?M(L,S):!1};var V=G;r&&r.segmentNew(L.seg,L.primary);var x=k(L),C=x.before?x.before.ev:null,S=x.after?x.after.ev:null;r&&r.tempStatus(L.seg,C?C.seg:!1,S?S.seg:!1);var g=G();if(g){if(e){var P;L.seg.myFill.below===null?P=!0:P=L.seg.myFill.above!==L.seg.myFill.below,P&&(g.seg.myFill.above=!g.seg.myFill.above)}else g.seg.otherFill=L.seg.myFill;r&&r.segmentUpdate(g.seg),L.other.remove(),L.remove()}if(a.getHead()!==L){r&&r.rewind(L.seg);continue}if(e){var P;L.seg.myFill.below===null?P=!0:P=L.seg.myFill.above!==L.seg.myFill.below,S?L.seg.myFill.below=S.seg.myFill.above:L.seg.myFill.below=v,P?L.seg.myFill.above=!L.seg.myFill.below:L.seg.myFill.above=L.seg.myFill.below}else if(L.seg.otherFill===null){var E;S?L.primary===S.primary?E=S.seg.otherFill.above:E=S.seg.myFill.above:E=L.primary?m:v,L.seg.otherFill={above:E,below:E}}r&&r.status(L.seg,C?C.seg:!1,S?S.seg:!1),L.other.status=x.insert(DM.node({ev:L}))}else{var z=L.status;if(z===null)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(b.exists(z.prev)&&b.exists(z.next)&&M(z.prev.ev,z.next.ev),r&&r.statusRemove(z.ev.seg),z.remove(),!L.primary){var q=L.seg.myFill;L.seg.myFill=L.seg.otherFill,L.seg.otherFill=q}T.push(L.seg)}a.getHead().remove()}return r&&r.done(),T}return e?{addRegion:function(v){for(var m,b=v[v.length-1],p=0;p<v.length;p++){m=b,b=v[p];var k=t.pointsCompare(m,b);k!==0&&c(n(k<0?m:b,k<0?b:m),!0)}},calculate:function(v){return d(v,!1)}}:{calculate:function(v,m,b,p){return v.forEach(function(k){c(i(k.start,k.end,k),!0)}),b.forEach(function(k){c(i(k.start,k.end,k),!1)}),d(m,p)}}}tfe.exports=ght});var nfe=ye((Bor,ife)=>{function mht(e,t,r){var n=[],i=[];return e.forEach(function(a){var o=a.start,s=a.end;if(t.pointsSame(o,s)){console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");return}r&&r.chainStart(a);var l={index:0,matches_head:!1,matches_pt1:!1},u={index:0,matches_head:!1,matches_pt1:!1},c=l;function f(V,G,Z){return c.index=V,c.matches_head=G,c.matches_pt1=Z,c===l?(c=u,!1):(c=null,!0)}for(var h=0;h<n.length;h++){var d=n[h],v=d[0],m=d[1],b=d[d.length-1],p=d[d.length-2];if(t.pointsSame(v,o)){if(f(h,!0,!0))break}else if(t.pointsSame(v,s)){if(f(h,!0,!1))break}else if(t.pointsSame(b,o)){if(f(h,!1,!0))break}else if(t.pointsSame(b,s)&&f(h,!1,!1))break}if(c===l){n.push([o,s]),r&&r.chainNew(o,s);return}if(c===u){r&&r.chainMatch(l.index);var k=l.index,M=l.matches_pt1?s:o,T=l.matches_head,d=n[k],L=T?d[0]:d[d.length-1],x=T?d[1]:d[d.length-2],C=T?d[d.length-1]:d[0],S=T?d[d.length-2]:d[1];if(t.pointsCollinear(x,L,M)&&(T?(r&&r.chainRemoveHead(l.index,M),d.shift()):(r&&r.chainRemoveTail(l.index,M),d.pop()),L=x),t.pointsSame(C,M)){n.splice(k,1),t.pointsCollinear(S,C,L)&&(T?(r&&r.chainRemoveTail(l.index,L),d.pop()):(r&&r.chainRemoveHead(l.index,L),d.shift())),r&&r.chainClose(l.index),i.push(d);return}T?(r&&r.chainAddHead(l.index,M),d.unshift(M)):(r&&r.chainAddTail(l.index,M),d.push(M));return}function g(V){r&&r.chainReverse(V),n[V].reverse()}function P(V,G){var Z=n[V],j=n[G],N=Z[Z.length-1],H=Z[Z.length-2],re=j[0],ae=j[1];t.pointsCollinear(H,N,re)&&(r&&r.chainRemoveTail(V,N),Z.pop(),N=H),t.pointsCollinear(N,re,ae)&&(r&&r.chainRemoveHead(G,re),j.shift()),r&&r.chainJoin(V,G),n[V]=Z.concat(j),n.splice(G,1)}var E=l.index,z=u.index;r&&r.chainConnect(E,z);var q=n[E].length<n[z].length;l.matches_head?u.matches_head?q?(g(E),P(E,z)):(g(z),P(z,E)):P(z,E):u.matches_head?P(E,z):q?(g(E),P(z,E)):(g(z),P(E,z))}),i}ife.exports=mht});var ofe=ye((Nor,afe)=>{function FM(e,t,r){var n=[];return e.forEach(function(i){var a=(i.myFill.above?8:0)+(i.myFill.below?4:0)+(i.otherFill&&i.otherFill.above?2:0)+(i.otherFill&&i.otherFill.below?1:0);t[a]!==0&&n.push({id:r?r.segmentId():-1,start:i.start,end:i.end,myFill:{above:t[a]===1,below:t[a]===2},otherFill:null})}),r&&r.selected(n),n}var yht={union:function(e,t){return FM(e,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],t)},intersect:function(e,t){return FM(e,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],t)},difference:function(e,t){return FM(e,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],t)},differenceRev:function(e,t){return FM(e,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],t)},xor:function(e,t){return FM(e,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],t)}};afe.exports=yht});var lfe=ye((Uor,sfe)=>{var _ht={toPolygon:function(e,t){function r(a){if(a.length<=0)return e.segments({inverted:!1,regions:[]});function o(u){var c=u.slice(0,u.length-1);return e.segments({inverted:!1,regions:[c]})}for(var s=o(a[0]),l=1;l<a.length;l++)s=e.selectDifference(e.combine(s,o(a[l])));return s}if(t.type===\"Polygon\")return e.polygon(r(t.coordinates));if(t.type===\"MultiPolygon\"){for(var n=e.segments({inverted:!1,regions:[]}),i=0;i<t.coordinates.length;i++)n=e.selectUnion(e.combine(n,r(t.coordinates[i])));return e.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(e,t,r){r=e.polygon(e.segments(r));function n(d,v){return t.pointInsideRegion([(d[0][0]+d[1][0])*.5,(d[0][1]+d[1][1])*.5],v)}function i(d){return{region:d,children:[]}}var a=i(null);function o(d,v){for(var m=0;m<d.children.length;m++){var b=d.children[m];if(n(v,b.region)){o(b,v);return}}for(var p=i(v),m=0;m<d.children.length;m++){var b=d.children[m];n(b.region,v)&&(p.children.push(b),d.children.splice(m,1),m--)}d.children.push(p)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(d,v){for(var m=0,b=d[d.length-1][0],p=d[d.length-1][1],k=[],M=0;M<d.length;M++){var T=d[M][0],L=d[M][1];k.push([T,L]),m+=L*b-T*p,b=T,p=L}var x=m<0;return x!==v&&k.reverse(),k.push([k[0][0],k[0][1]]),k}var c=[];function f(d){var v=[u(d.region,!1)];c.push(v);for(var m=0;m<d.children.length;m++)v.push(h(d.children[m]))}function h(d){for(var v=0;v<d.children.length;v++)f(d.children[v]);return u(d.region,!0)}for(var s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:c.length==1?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};sfe.exports=_ht});var hfe=ye((Vor,ffe)=>{var xht=Kce(),bht=$ce(),ufe=rfe(),wht=nfe(),zM=ofe(),cfe=lfe(),E0=!1,qM=bht(),kp;kp={buildLog:function(e){return e===!0?E0=xht():e===!1&&(E0=!1),E0===!1?!1:E0.list},epsilon:function(e){return qM.epsilon(e)},segments:function(e){var t=ufe(!0,qM,E0);return e.regions.forEach(t.addRegion),{segments:t.calculate(e.inverted),inverted:e.inverted}},combine:function(e,t){var r=ufe(!1,qM,E0);return{combined:r.calculate(e.segments,e.inverted,t.segments,t.inverted),inverted1:e.inverted,inverted2:t.inverted}},selectUnion:function(e){return{segments:zM.union(e.combined,E0),inverted:e.inverted1||e.inverted2}},selectIntersect:function(e){return{segments:zM.intersect(e.combined,E0),inverted:e.inverted1&&e.inverted2}},selectDifference:function(e){return{segments:zM.difference(e.combined,E0),inverted:e.inverted1&&!e.inverted2}},selectDifferenceRev:function(e){return{segments:zM.differenceRev(e.combined,E0),inverted:!e.inverted1&&e.inverted2}},selectXor:function(e){return{segments:zM.xor(e.combined,E0),inverted:e.inverted1!==e.inverted2}},polygon:function(e){return{regions:wht(e.segments,qM,E0),inverted:e.inverted}},polygonFromGeoJSON:function(e){return cfe.toPolygon(kp,e)},polygonToGeoJSON:function(e){return cfe.fromPolygon(kp,qM,e)},union:function(e,t){return OM(e,t,kp.selectUnion)},intersect:function(e,t){return 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t=[],r=PN(e[0])?0:e[0][0][0],n=r,i=PN(e[0])?0:e[0][0][1],a=i,o=0;o<e.length;o++)if(PN(e[o]))t.push(Uht(e[o]));else{var s=FN(e[o]);s.subtract=!!e[o].subtract,t.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}function l(u,c,f,h){for(var d=!1,v=0;v<t.length;v++)t[v].contains(u,c,f,h)&&(d=!t[v].subtract);return d}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:l,isRect:!1,degenerate:!1}}function Lfe(e,t,r){var n=t._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(e.shiftKey||e.altKey)&&!(GM(a)&&RN(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):(!s||!i.selection)&&HM(r),o||(Mfe(t),n._lastSelectedSubplot=i.id)}function Vht(e){return e._fullLayout._activeShapeIndex>=0}function Ght(e){return e._fullLayout._activeSelectionIndex>=0}function HM(e,t){var r=e.dragmode,n=e.plotinfo,i=e.gd;Vht(i)&&i._fullLayout._deactivateShape(i),Ght(i)&&i._fullLayout._deactivateSelection(i);var a=i._fullLayout,o=a._zoomlayer,s=GM(r),l=DN(r);if(s||l){var u=o.selectAll(\".select-outline-\"+n.id);if(u&&i._fullLayout._outlining){var c;s&&(c=Lht(u,e)),c&&VM.call(\"_guiRelayout\",i,{shapes:c});var f;l&&!qN(e)&&(f=Pht(u,e)),f&&(i._fullLayout._noEmitSelectedAtStart=!0,VM.call(\"_guiRelayout\",i,{selections:f}).then(function(){t&&Iht(i)})),i._fullLayout._outlining=!1}}n.selection={},n.selection.selectionDefs=e.selectionDefs=[],n.selection.mergedPolygons=e.mergedPolygons=[]}function wfe(e){return e._id}function LP(e,t,r,n){if(!e.calcdata)return[];var i=[],a=t.map(wfe),o=r.map(wfe),s,l,u;for(u=0;u<e.calcdata.length;u++)if(s=e.calcdata[u],l=s[0].trace,!(l.visible!==!0||!l._module||!l._module.selectPoints))if(qN({subplot:n})&&(l.subplot===n||l.geo===n))i.push(EP(l._module,s,t[0],r[0]));else if(l.type===\"splom\"){if(l._xaxes[a[0]]&&l._yaxes[o[0]]){var c=EP(l._module,s,t[0],r[0]);c.scene=e._fullLayout._splomScenes[l.uid],i.push(c)}}else if(l.type===\"sankey\"){var f=EP(l._module,s,t[0],r[0]);i.push(f)}else{if(a.indexOf(l.xaxis)===-1&&(!l._xA||!l._xA.overlaying)||o.indexOf(l.yaxis)===-1&&(!l._yA||!l._yA.overlaying))continue;i.push(EP(l._module,s,k0(e,l.xaxis),k0(e,l.yaxis)))}return i}function EP(e,t,r,n){return{_module:e,cd:t,xaxis:r,yaxis:n}}function Hht(e){return e&&Array.isArray(e)&&e[0].hoverOnBox!==!0}function jht(e,t){var r=e[0],n=-1,i=[],a,o;for(o=0;o<t.length;o++)if(a=t[o],r.fullData.index===a.cd[0].trace.index){if(r.hoverOnBox===!0)break;r.pointNumber!==void 0?n=r.pointNumber:r.binNumber!==void 0&&(n=r.binNumber,i=r.pointNumbers);break}return{pointNumber:n,pointNumbers:i,searchInfo:a}}function Tfe(e){var t=e.searchInfo.cd[0].trace,r=e.pointNumber,n=e.pointNumbers,i=n.length>0,a=i?n[0]:r;return t.selectedpoints?t.selectedpoints.indexOf(a)>-1:!1}function Wht(e,t){var 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nhe=Pr(),RP=ho(),hdt=Kd(),ddt=VN(),ahe=b_();ohe.exports=function(t,r){hdt(t,r,{name:\"selections\",handleItemDefaults:vdt});for(var n=r.selections,i=0;i<n.length;i++){var a=n[i];a&&a.path===void 0&&(a.x0===void 0||a.x1===void 0||a.y0===void 0||a.y1===void 0)&&(r.selections[i]=null)}};function vdt(e,t,r){function n(x,C){return nhe.coerce(e,t,ddt,x,C)}var i=n(\"path\"),a=i?\"path\":\"rect\",o=n(\"type\",a),s=o!==\"path\";s&&delete t.path,n(\"opacity\"),n(\"line.color\"),n(\"line.width\"),n(\"line.dash\");for(var l=[\"x\",\"y\"],u=0;u<2;u++){var c=l[u],f={_fullLayout:r},h,d,v,m=RP.coerceRef(e,t,f,c);if(h=RP.getFromId(f,m),h._selectionIndices.push(t._index),v=ahe.rangeToShapePosition(h),d=ahe.shapePositionToRange(h),s){var b=c+\"0\",p=c+\"1\",k=e[b],M=e[p];e[b]=d(e[b],!0),e[p]=d(e[p],!0),RP.coercePosition(t,f,n,m,b),RP.coercePosition(t,f,n,m,p);var T=t[b],L=t[p];T!==void 0&&L!==void 0&&(t[b]=v(T),t[p]=v(L),e[b]=k,e[p]=M)}}s&&nhe.noneOrAll(e,t,[\"x0\",\"x1\",\"y0\",\"y1\"])}});var uhe=ye((isr,lhe)=>{\"use strict\";lhe.exports=function(t,r,n){n(\"newselection.mode\");var i=n(\"newselection.line.width\");i&&(n(\"newselection.line.color\"),n(\"newselection.line.dash\")),n(\"activeselection.fillcolor\"),n(\"activeselection.opacity\")}});var KM=ye((nsr,hhe)=>{\"use strict\";var pdt=Oa(),che=Pr(),fhe=df();hhe.exports=function(t){return function(n,i){var a=n[t];if(Array.isArray(a))for(var o=pdt.subplotsRegistry.cartesian,s=o.idRegex,l=i._subplots,u=l.xaxis,c=l.yaxis,f=l.cartesian,h=i._has(\"cartesian\"),d=0;d<a.length;d++){var v=a[d];if(che.isPlainObject(v)){var m=fhe.cleanId(v.xref,\"x\",!1),b=fhe.cleanId(v.yref,\"y\",!1),p=s.x.test(m),k=s.y.test(b);if(p||k){h||che.pushUnique(i._basePlotModules,o);var M=!1;p&&u.indexOf(m)===-1&&(u.push(m),M=!0),k&&c.indexOf(b)===-1&&(c.push(b),M=!0),M&&p&&k&&f.push(m+b)}}}}}});var qf=ye((asr,vhe)=>{\"use strict\";var 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c=s._mainLinePosition;s.side===\"top\"&&(c-=gd),Ig(t,o,s._offset+s._length*.1,c,s._length*.8,gd,\"\",\"ew\"),Ig(t,o,s._offset,c,s._length*.1,gd,\"\",\"w\"),Ig(t,o,s._offset+s._length*.9,c,s._length*.1,gd,\"\",\"e\")}if(a===l._mainSubplot){var f=l._mainLinePosition;l.side!==\"right\"&&(f-=gd),Ig(t,o,f,l._offset+l._length*.1,gd,l._length*.8,\"ns\",\"\"),Ig(t,o,f,l._offset+l._length*.9,gd,l._length*.1,\"s\",\"\"),Ig(t,o,f,l._offset,gd,l._length*.1,\"n\",\"\")}}});var i=r._hoverlayer.node();i.onmousemove=function(a){a.target=t._fullLayout._lasthover,qP.hover(t,a,r._hoversubplot)},i.onclick=function(a){a.target=t._fullLayout._lasthover,qP.click(t,a)},i.onmousedown=function(a){t._fullLayout._lasthover.onmousedown(a)},OP.updateFx(t)}};OP.updateFx=function(e){var t=e._fullLayout,r=t.dragmode===\"pan\"?\"move\":\"crosshair\";Odt(t._draggers,r)}});var qhe=ye((lsr,zhe)=>{\"use strict\";var Fhe=Oa();zhe.exports=function(t){for(var r=Fhe.layoutArrayContainers,n=Fhe.layoutArrayRegexes,i=t.split(\"[\")[0],a,o,s=0;s<n.length;s++)if(o=t.match(n[s]),o&&o.index===0){a=o[0];break}if(a||(a=r[r.indexOf(i)]),!a)return!1;var l=t.slice(a.length);return l?(o=l.match(/^\\[(0|[1-9][0-9]*)\\](\\.(.+))?$/),o?{array:a,index:Number(o[1]),property:o[3]||\"\"}:!1):{array:a,index:\"\",property:\"\"}}});var Bhe=ye(QM=>{\"use strict\";var Bdt=Sy(),JN=I6(),$M=J1(),Ndt=G6().sorterAsc,$N=Oa();QM.containerArrayMatch=qhe();var Udt=QM.isAddVal=function(t){return t===\"add\"||Bdt(t)},Ohe=QM.isRemoveVal=function(t){return t===null||t===\"remove\"};QM.applyContainerArrayChanges=function(t,r,n,i,a){var o=r.astr,s=$N.getComponentMethod(o,\"supplyLayoutDefaults\"),l=$N.getComponentMethod(o,\"draw\"),u=$N.getComponentMethod(o,\"drawOne\"),c=i.replot||i.recalc||s===JN||l===JN,f=t.layout,h=t._fullLayout;if(n[\"\"]){Object.keys(n).length>1&&$M.warn(\"Full array edits are incompatible with other edits\",o);var d=n[\"\"][\"\"];if(Ohe(d))r.set(null);else 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q;if(M===-1)q=v;else{for(T=Math.max(b.length,T),q=[],L=0;L<v.length&&(C=v[L],!(C>=M));L++)q.push(C);for(L=M;L<T;L++)q.push(L)}for(L=0;L<q.length;L++)u(t,q[L])}else l(t);return!0}});var Xhe=ye(L0=>{\"use strict\";var Ghe=Eo(),Hhe=Oa(),Uv=Pr(),e4=Mc(),jhe=df(),Whe=ka(),t4=jhe.cleanId,Vdt=jhe.getFromTrace,QN=Hhe.traceIs,Gdt=[\"x\",\"y\",\"z\"];L0.clearPromiseQueue=function(e){Array.isArray(e._promises)&&e._promises.length>0&&Uv.log(\"Clearing previous rejected promises from queue.\"),e._promises=[]};L0.cleanLayout=function(e){var t,r;e||(e={}),e.xaxis1&&(e.xaxis||(e.xaxis=e.xaxis1),delete e.xaxis1),e.yaxis1&&(e.yaxis||(e.yaxis=e.yaxis1),delete e.yaxis1),e.scene1&&(e.scene||(e.scene=e.scene1),delete e.scene1);var n=(e4.subplotsRegistry.cartesian||{}).attrRegex,i=(e4.subplotsRegistry.polar||{}).attrRegex,a=(e4.subplotsRegistry.ternary||{}).attrRegex,o=(e4.subplotsRegistry.gl3d||{}).attrRegex,s=Object.keys(e);for(t=0;t<s.length;t++){var l=s[t];if(n&&n.test(l)){var u=e[l];u.anchor&&u.anchor!==\"free\"&&(u.anchor=t4(u.anchor)),u.overlaying&&(u.overlaying=t4(u.overlaying)),u.type||(u.isdate?u.type=\"date\":u.islog?u.type=\"log\":u.isdate===!1&&u.islog===!1&&(u.type=\"linear\")),(u.autorange===\"withzero\"||u.autorange===\"tozero\")&&(u.autorange=!0,u.rangemode=\"tozero\"),u.insiderange&&delete u.range,delete u.islog,delete u.isdate,delete u.categories,BP(u,\"domain\")&&delete u.domain}}var c=Array.isArray(e.annotations)?e.annotations.length:0;for(t=0;t<c;t++){var f=e.annotations[t];Uv.isPlainObject(f)&&(uT(f,\"xref\"),uT(f,\"yref\"))}var h=Array.isArray(e.shapes)?e.shapes.length:0;for(t=0;t<h;t++){var d=e.shapes[t];Uv.isPlainObject(d)&&(uT(d,\"xref\",!0),uT(d,\"yref\",!0))}var v=Array.isArray(e.images)?e.images.length:0;for(t=0;t<v;t++){var m=e.images[t];Uv.isPlainObject(m)&&(uT(m,\"xref\"),uT(m,\"yref\"))}var b=e.legend;return b&&(b.x>3?(b.x=1.02,b.xanchor=\"left\"):b.x<-2&&(b.x=-.02,b.xanchor=\"right\"),b.y>3?(b.y=1.02,b.yanchor=\"bottom\"):b.y<-2&&(b.y=-.02,b.yanchor=\"top\")),e.dragmode===\"rotate\"&&(e.dragmode=\"orbit\"),Whe.clean(e),e.template&&e.template.layout&&L0.cleanLayout(e.template.layout),e};function uT(e,t,r=!1){var n=e[t],i=t.charAt(0);r&&Array.isArray(n)||n&&n!==\"paper\"&&(e[t]=t4(n,i,!0))}L0.cleanData=function(e){for(var t=0;t<e.length;t++){var r=e[t],n;if(r.type===\"histogramy\"&&\"xbins\"in r&&!(\"ybins\"in r)&&(r.ybins=r.xbins,delete r.xbins),r.type===\"histogramy\"&&L0.swapXYData(r),(r.type===\"histogramx\"||r.type===\"histogramy\")&&(r.type=\"histogram\"),\"scl\"in r&&!(\"colorscale\"in r)&&(r.colorscale=r.scl,delete r.scl),\"reversescl\"in r&&!(\"reversescale\"in r)&&(r.reversescale=r.reversescl,delete 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n=[],i=xl.deleteTraces,a=ode,o=[e,n],s=[e,t],l,u;for(ovt(e,t,r),Array.isArray(t)||(t=[t]),t=t.map(function(c){return Sa.extendFlat({},c)}),gh.cleanData(t),l=0;l<t.length;l++)e.data.push(t[l]);for(l=0;l<t.length;l++)n.push(-t.length+l);if(typeof r==\"undefined\")return u=xl.redraw(e),op.add(e,i,o,a,s),u;Array.isArray(r)||(r=[r]);try{tde(e,n,r)}catch(c){throw e.data.splice(e.data.length-t.length,t.length),c}return op.startSequence(e),op.add(e,i,o,a,s),u=xl.moveTraces(e,n,r),op.stopSequence(e),u}function sde(e,t){e=Sa.getGraphDiv(e);var r=[],n=xl.addTraces,i=sde,a=[e,r,t],o=[e,t],s,l;if(typeof t==\"undefined\")throw new Error(\"indices must be an integer or array of integers.\");for(Array.isArray(t)||(t=[t]),HP(e,t,\"indices\"),t=GP(t,e.data.length-1),t.sort(Sa.sorterDes),s=0;s<t.length;s+=1)l=e.data.splice(t[s],1)[0],r.push(l);var u=xl.redraw(e);return op.add(e,n,a,i,o),u}function nU(e,t,r){e=Sa.getGraphDiv(e);var n=[],i=[],a=nU,o=nU,s=[e,r,t],l=[e,t,r],u;if(tde(e,t,r),t=Array.isArray(t)?t:[t],typeof r==\"undefined\")for(r=[],u=0;u<t.length;u++)r.push(-t.length+u);for(r=Array.isArray(r)?r:[r],t=GP(t,e.data.length-1),r=GP(r,e.data.length-1),u=0;u<e.data.length;u++)t.indexOf(u)===-1&&n.push(e.data[u]);for(u=0;u<t.length;u++)i.push({newIndex:r[u],trace:e.data[t[u]]});for(i.sort(function(f,h){return f.newIndex-h.newIndex}),u=0;u<i.length;u+=1)n.splice(i[u].newIndex,0,i[u].trace);e.data=n;var c=xl.redraw(e);return op.add(e,a,s,o,l),c}function jP(e,t,r,n){e=Sa.getGraphDiv(e),gh.clearPromiseQueue(e);var i={};if(typeof t==\"string\")i[t]=r;else if(Sa.isPlainObject(t))i=Sa.extendFlat({},t),n===void 0&&(n=r);else return Sa.warn(\"Restyle fail.\",t,r,n),Promise.reject();Object.keys(i).length&&(e.changed=!0);var a=gh.coerceTraceIndices(e,n),o=lde(e,i,a),s=o.flags;s.calc&&(e.calcdata=void 0),s.clearAxisTypes&&gh.clearAxisTypes(e,a,{});var 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o=[Qo.previousPromises];a.layoutReplot?o.push(Au.layoutReplot):Object.keys(n).length&&(ude(e,a,i)||Qo.supplyDefaults(e),a.legend&&o.push(Au.doLegend),a.layoutstyle&&o.push(Au.layoutStyles),a.axrange&&KP(o,i.rangesAltered),a.ticks&&o.push(Au.doTicksRelayout),a.modebar&&o.push(Au.doModeBar),a.camera&&o.push(Au.doCamera),a.colorbars&&o.push(Au.doColorBars),o.push(i4)),o.push(Qo.rehover,Qo.redrag,Qo.reselect),op.add(e,r4,[e,i.undoit],r4,[e,i.redoit]);var s=Sa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function ude(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return Sa.coerce(a,o,Ydt,d,v)},l={};for(var u in r.rangesAltered){var c=Vv.id2name(u);if(a=e.layout[c],o=n[c],Zdt(a,o,s,l),o._matchGroup){for(var f in o._matchGroup)if(f!==u){var 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be=ke.property,Be=N||{editType:\"calc\"};f!==\"\"&&be===\"\"&&(NP.isAddVal(g)?k[C]=null:NP.isRemoveVal(g)?k[C]=(Ec(r,c).get()||[])[f]:Sa.warn(\"unrecognized full object value\",t)),A_.update(b,Be),u[c]||(u[c]={});var Le=u[c][f];Le||(Le=u[c][f]={}),Le[be]=g,delete t[C]}else z===\"reverse\"?(G.range?G.range.reverse():(M(V+\".autorange\",!0),G.range=[1,0]),Z.autorange?b.calc=!0:b.plot=!0):(C===\"dragmode\"&&(g===!1&&j!==!1||g!==!1&&j===!1)||n._has(\"scatter-like\")&&n._has(\"regl\")&&C===\"dragmode\"&&(g===\"lasso\"||g===\"select\")&&!(j===\"lasso\"||j===\"select\")?b.plot=!0:N?A_.update(b,N):b.calc=!0,S.set(g))}}for(c in u){var me=NP.applyContainerArrayChanges(e,a(r,c),u[c],b,a);me||(b.plot=!0)}for(var Pe in T){L=Vv.getFromId(e,Pe);var ce=L&&L._constraintGroup;if(ce){b.calc=!0;for(var He in ce)T[He]||(Vv.getFromId(e,He)._constraintShrinkable=!0)}}(dde(e)||t.height||t.width)&&(b.plot=!0);var lt=n.shapes;for(f=0;f<lt.length;f++)if(lt[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:T,undoit:k,redoit:p,eventData:l}}function dde(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&Qo.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function XP(e,t,r,n){e=Sa.getGraphDiv(e),gh.clearPromiseQueue(e),Sa.isPlainObject(t)||(t={}),Sa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=gh.coerceTraceIndices(e,n),a=lde(e,Sa.extendFlat({},t),i),o=a.flags,s=hde(e,Sa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&gh.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Au.layoutReplot):o.fullReplot?u.push(xl._doPlot):(u.push(Qo.previousPromises),ude(e,l,s)||Qo.supplyDefaults(e),o.style&&u.push(Au.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Au.doColorBars),l.legend&&u.push(Au.doLegend),l.layoutstyle&&u.push(Au.layoutStyles),l.axrange&&KP(u,s.rangesAltered),l.ticks&&u.push(Au.doTicksRelayout),l.modebar&&u.push(Au.doModeBar),l.camera&&u.push(Au.doCamera),u.push(i4)),u.push(Qo.rehover,Qo.redrag,Qo.reselect),op.add(e,XP,[e,a.undoit,s.undoit,a.traces],XP,[e,a.redoit,s.redoit,a.traces]);var c=Sa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function aU(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var fvt=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^selections/,attr:\"selectionrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],hvt=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function 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i2=ye((Rsr,eve)=>{\"use strict\";var Lpt=$b().getAxisGroup;eve.exports=function(t,r,n,i,a){var o=r.orientation,s=r[{v:\"x\",h:\"y\"}[o]+\"axis\"],l=Lpt(n,s)+o,u=n._alignmentOpts||{},c=i(\"alignmentgroup\"),f=u[l];f||(f=u[l]={});var h=f[c];h?h.traces.push(r):h=f[c]={traces:[r],alignmentIndex:Object.keys(f).length,offsetGroups:{}};var d=i(\"offsetgroup\")||\"\",v=h.offsetGroups,m=v[d];r._offsetIndex=0,(a!==\"group\"||d)&&(m||(m=v[d]={offsetIndex:Object.keys(v).length}),r._offsetIndex=m.offsetIndex)}});var vU=ye((Dsr,tve)=>{\"use strict\";var Ppt=Pr(),Ipt=i2(),Rpt=pf();tve.exports=function(t,r){var n,i,a,o=r.scattermode;function s(h){return Ppt.coerce(i._input,i,Rpt,h)}if(r.scattermode===\"group\")for(a=0;a<t.length;a++)i=t[a],i.type===\"scatter\"&&(n=i._input,Ipt(n,i,r,s,o));for(a=0;a<t.length;a++){var l=t[a];if(l.type===\"scatter\"){var u=l.fill;if(!(u===\"none\"||u===\"toself\")&&(l.opacity=void 0,u===\"tonexty\"||u===\"tonextx\"))for(var c=a-1;c>=0;c--){var 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s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[gve(t)]===t.uid,h=(xU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},m={padded:!0};o&&(v.ppad=m.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!_U.hasMarkers(t)&&!_U.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?m.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(m.padded=!1),u&&(t._extremes[u]=s4.findExtremes(r,i,v)),c&&(t._extremes[c]=s4.findExtremes(n,a,m))}function vve(e,t){if(_U.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},yU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};s4.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new 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c=Hpt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}oI.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};oI.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};oI.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var S_=ye((Vsr,xve)=>{\"use strict\";xve.exports={TEXTPAD:3,eventDataKeys:[\"value\",\"label\"]}});var n2=ye((Gsr,Ave)=>{\"use strict\";var B0=Eo(),{isArrayOrTypedArray:By}=Pr(),{BADNUM:dT}=fs(),jpt=Oa(),l4=ho(),{getAxisGroup:Wpt}=$b(),sI=_ve(),{TEXTPAD:Xpt}=S_(),{LINE_SPACING:Zpt}=Dh(),{BR_TAG_ALL:Ypt}=Zl();function Kpt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&jpt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};wU(e,r,n,l,d),wU(e,n,r,s,d)}function wU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(Qpt(r,n),i.mode){case\"overlay\":bU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&e0t(e,t,r,o,i),a.length&&bU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 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null}:e.d2c;if(By(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),B0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=B0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function bU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new sI([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});TU(e,t,s,i),i.norm?(Tve(s),AU(r,s,i)):wve(r,s)}}function e0t(e,t,r,n,i){var a=new sI(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});TU(e,t,a,i),a0t(a,t),i.norm?(Tve(a),AU(r,a,i)):wve(r,a)}function t0t(e,t,r,n,i){var a=new sI(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});TU(e,t,a,i),n0t(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==dT){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&AU(r,a,i)}function TU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,m;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=Wpt(i,t._id)+l[0][0].trace.orientation;m=i._alignmentOpts[b]||{}}for(var p=0;p<u;p++){var k=l[p],M=k[0].trace;if(t._id!==\"angularaxis\"){var T=m[M.alignmentgroup]||{},L=Object.keys(T.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*M._offsetIndex+1-L)*h-d)/2:v=c?((2*p+1-u)*h-d)/2:-d/2}var x=k[0].t;x.barwidth=d,x.offsetindex=M._offsetIndex||0,x.poffset=v,x.bargroupwidth=f,x.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,r0t(r),i0t(t,r),t._id===\"angularaxis\"?bve(t,r):bve(t,r,c)}function r0t(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(By(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)B0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 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T=k?b[v]:b,L=M?p[v]:p;h=f.p+T,d=h+L,c.push(h,d)}}u._extremes[e._id]=l4.findExtremes(e,c,{padded:!1})}}function wve(e,t){for(var r=t.traces,n=vT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var h=a[f],d=s?0:h.b,v=s?l?h.y:h.x:d+h.s;h[n]=v,u.push(v),h.hasB&&u.push(d),(!h.hasB||!h.b)&&(c=!0)}let{ppadminus:m,ppadplus:b}=SU(o,a);o._extremes[e._id]=l4.findExtremes(e,u,{tozero:c,padded:!0,ppadplus:b,ppadminus:m})}}function n0t(e,t,r){var n=vT(e),i=t.traces,a,o,s,l,u,c,f;for(l=0;l<i.length;l++)if(a=i[l],o=a[0].trace,o.type===\"funnel\")for(f=a[0].t.offsetindex,u=0;u<a.length;u++)c=a[u],c.s!==dT&&t.put(c.p,f,-.5*c.s);for(l=0;l<i.length;l++){a=i[l],o=a[0].trace,s=o.type===\"funnel\",f=o.type===\"barpolar\"?0:a[0].t.offsetindex;var h=[];for(u=0;u<a.length;u++)if(c=a[u],c.s!==dT){var d;s?d=c.s:d=c.s+c.b;var v=t.put(c.p,f,d),m=v+d;c.b=v,c[n]=m,r.norm||(h.push(m),c.hasB&&h.push(v))}if(!r.norm){let{ppadminus:b,ppadplus:p}=SU(o,a);o._extremes[e._id]=l4.findExtremes(e,h,{tozero:!0,padded:!0,ppadplus:p,ppadminus:b})}}}function Tve(e){for(var t=e.traces,r=0;r<t.length;r++)for(var n=t[r],i=n[0].t.offsetindex,a=0;a<n.length;a++){var o=n[a];o.s!==dT&&e.put(o.p,i,o.b+o.s)}}function a0t(e,t){for(var r=e.traces,n=0;n<r.length;n++){var i=r[n],a=i[0].trace,o=i[0].t.offsetindex;if(a.base===void 0)for(var s=new sI([i],{posAxis:t,sepNegVal:!0,overlapNoMerge:!0}),l=0;l<i.length;l++){var u=i[l];if(u.p!==dT){var c=s.put(u.p,o,u.b+u.s);c&&(u.b=c)}}}}function AU(e,t,r){var n=t.traces,i=vT(e),a=r.norm===\"fraction\"?1:100,o=a/1e9,s=e.l2c(e.c2l(0)),l=r.mode===\"stack\"?a:s;function u(x){return B0(e.c2l(x))&&(x<s-o||x>l+o||!B0(s))}for(var c=0;c<n.length;c++){for(var f=n[c],h=f[0].t.offsetindex,d=f[0].trace,v=[],m=!1,b=!1,p=0;p<f.length;p++){var k=f[p];if(k.s!==dT){var M=Math.abs(a/t.get(k.p,h,k.s));k.b*=M,k.s*=M;var T=k.b,L=T+k.s;k[i]=L,v.push(L),b=b||u(L),k.hasB&&(v.push(T),b=b||u(T)),(!k.hasB||!k.b)&&(m=!0)}}let{ppadminus:x,ppadplus:C}=SU(d,f);d._extremes[e._id]=l4.findExtremes(e,v,{tozero:m,padded:b,ppadplus:C,ppadminus:x})}}function SU(e,t){if(e.orientation===\"v\"&&(e.text||e.texttemplate)&&e.textposition===\"outside\"&&(e.textangle===\"auto\"||e.textangle===0)){let n=function(a){return!a||typeof a!=\"string\"?0:(a.match(Ypt)||[]).length+1};var r;e.texttemplate?r=n(e.texttemplate):r=By(e.text)?Math.max(...e.text.map(a=>n(a))):n(e.text);let i=e.outsidetextfont.size*Zpt*r+Xpt;return{ppadplus:t.some(a=>a.s<0)?i:0,ppadminus:t.some(a=>a.s>=0)?i:0}}return{ppadplus:void 0,ppadminus:void 0}}function o0t(e,t,r,n){for(var i=vT(n),a=0;a<e.length;a++)for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l[i];l._sMin=t[u],l._sMax=r[u]}}function s0t(e,t){var r=vT(t),n={},i,a,o,s=1/0,l=-1/0;for(i=0;i<e.length;i++)for(o=e[i],a=0;a<o.length;a++){var u=o[a].p;B0(u)&&(s=Math.min(s,u),l=Math.max(l,u))}var c=1e4/(l-s),f=n.round=function(S){return String(Math.round(c*(S-s)))},h={},d={},v=e.some(function(S){var g=S[0].trace;return\"marker\"in g&&g.marker.cornerradius});for(i=0;i<e.length;i++){o=e[i],o[0].t.extents=n;var m=o[0].t.poffset,b=By(m);for(a=0;a<o.length;a++){var p=o[a],k=p[r]-p.w/2;if(B0(k)){var M=p[r]+p.w/2,T=f(p.p);n[T]?n[T]=[Math.min(k,n[T][0]),Math.max(M,n[T][1])]:n[T]=[k,M]}if(p.p0=p.p+(b?m[a]:m),p.p1=p.p0+p.w,p.s0=p.b,p.s1=p.s0+p.s,v){var L=Math.min(p.s0,p.s1)||0,x=Math.max(p.s0,p.s1)||0,C=p[r];h[C]=C in h?Math.min(h[C],L):L,d[C]=C in d?Math.max(d[C],x):x}}}v&&o0t(e,h,d,t)}function vT(e){return e._id.charAt(0)}Ave.exports={crossTraceCalc:Kpt,setGroupPositions:wU}});var kve=ye((Hsr,Eve)=>{\"use strict\";var Sve=O0(),Mve=n2().setGroupPositions;function l0t(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var 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wT=ye((Qsr,Xve)=>{\"use strict\";var Wve=Ru();Xve.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l,u,c,f,h=!Wve.hasMarkers(s)&&!Wve.hasText(s);if(h)return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++)u=n[l],c=i.c2p(u.x),f=a.c2p(u.y),u.i!==null&&r.contains([c,f],!1,l,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0;return o}});var Yve=ye((elr,Zve)=>{\"use strict\";Zve.exports={xaxis:{valType:\"subplotid\",dflt:\"x\",editType:\"calc+clearAxisTypes\"},yaxis:{valType:\"subplotid\",dflt:\"y\",editType:\"calc+clearAxisTypes\"}}});var FU=ye((tlr,$ve)=>{\"use strict\";var f4=Oa().traceIs,DU=W3();$ve.exports=function(t,r,n,i){n(\"autotypenumbers\",i.autotypenumbersDflt);var a=n(\"type\",(i.splomStash||{}).type);a===\"-\"&&(A0t(r,i.data),r.type===\"-\"?r.type=\"linear\":t.type=r.type)};function A0t(e,t){if(e.type===\"-\"){var r=e._id,n=r.charAt(0),i;r.indexOf(\"scene\")!==-1&&(r=n);var a=S0t(t,r,n);if(a){if(a.type===\"histogram\"&&n==={v:\"y\",h:\"x\"}[a.orientation||\"v\"]){e.type=\"linear\";return}var o=n+\"calendar\",s=a[o],l={noMultiCategory:!f4(a,\"cartesian\")||f4(a,\"noMultiCategory\")};if(a.type===\"box\"&&a._hasPreCompStats&&n==={h:\"x\",v:\"y\"}[a.orientation||\"v\"]&&(l.noMultiCategory=!0),l.autotypenumbers=e.autotypenumbers,Jve(a,n)){var u=Kve(a),c=[];for(i=0;i<t.length;i++){var f=t[i];!f4(f,\"box-violin\")||(f[n+\"axis\"]||n)!==r||(f[u]!==void 0?c.push(f[u][0]):f.name!==void 0?c.push(f.name):c.push(\"text\"),f[o]!==s&&(s=void 0))}e.type=DU(c,s,l)}else if(a.type===\"splom\"){var h=a.dimensions,d=h[a._axesDim[r]];d.visible&&(e.type=DU(d.values,s,l))}else e.type=DU(a[n]||[a[n+\"0\"]],s,l)}}}function S0t(e,t,r){for(var n=0;n<e.length;n++){var i=e[n];if(i.type===\"splom\"&&i._length>0&&(i[\"_\"+r+\"axes\"]||{})[t])return i;if((i[r+\"axis\"]||r)===t){if(Jve(i,r))return i;if((i[r]||[]).length||i[r+\"0\"])return i}}}function Kve(e){return{v:\"x\",h:\"y\"}[e.orientation||\"v\"]}function Jve(e,t){var r=Kve(e),n=f4(e,\"box-violin\"),i=f4(e._fullInput||{},\"candlestick\");return n&&!i&&t===r&&e[r]===void 0&&e[r+\"0\"]===void 0}});var dI=ye((rlr,Qve)=>{\"use strict\";var M0t=Yd().isTypedArraySpec;function E0t(e,t){var r=t.dataAttr||e._id.charAt(0),n={},i,a,o;if(t.axData)i=t.axData;else for(i=[],a=0;a<t.data.length;a++){var s=t.data[a];s[r+\"axis\"]===e._id&&i.push(s)}for(a=0;a<i.length;a++){var l=i[a][r];for(o=0;o<l.length;o++){var u=l[o];u!=null&&(n[u]=1)}}return Object.keys(n)}Qve.exports=function(t,r,n,i){if(r.type===\"category\"){var a=t.categoryarray,o=Array.isArray(a)&&a.length>0||M0t(a),s;o&&(s=\"array\");var l=n(\"categoryorder\",s),u;l===\"array\"&&(u=n(\"categoryarray\")),!o&&l===\"array\"&&(l=r.categoryorder=\"trace\"),l===\"trace\"?r._initialCategories=[]:l===\"array\"?r._initialCategories=u.slice():(u=E0t(r,i).sort(),l===\"category ascending\"?r._initialCategories=u:l===\"category 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v=\"\";(!i.noTicklabelposition||f===\"multicategory\")&&(v=d4.coerce(t,r,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:h===\"period\"?[\"outside\",\"inside\"]:o===\"x\"?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),i.noTicklabeloverflow||n(\"ticklabeloverflow\",v.indexOf(\"inside\")!==-1?\"hide past domain\":f===\"category\"||f===\"multicategory\"?\"allow\":\"hide past div\"),ape(r,a),q0t(t,r,n,i),F0t(t,r,n,i),i.noHover||(f!==\"category\"&&n(\"hoverformat\"),i.noUnifiedhovertitle||n(\"unifiedhovertitle.text\"));var m=n(\"color\"),b=m!==zU.color.dflt?m:s.color,p=l.label||a._dfltTitle[o];if(D0t(t,r,n,f,i),!u)return r;n(\"title.text\",p),d4.coerceFont(n,\"title.font\",s,{overrideDflt:{size:d4.bigFont(s.size),color:b}}),ipe(t,r,n,f);var k=i.hasMinor;if(k&&(P0t.newContainer(r,\"minor\"),ipe(t,r,n,f,{isMinor:!0})),R0t(t,r,n,f,i),npe(t,r,n,i),k){var M=i.isMinor;i.isMinor=!0,npe(t,r,n,i),i.isMinor=M}z0t(t,r,n,{dfltColor:m,bgColor:i.bgColor,showGrid:i.showGrid,hasMinor:k,attributes:zU}),k&&r.ticklabelindex==null&&!r.minor.ticks&&!r.minor.showgrid&&delete r.minor,(r.showline||r.ticks)&&n(\"mirror\");var T=f===\"multicategory\";if(!i.noTickson&&(f===\"category\"||T)&&(r.ticks||r.showgrid)&&(T?(n(\"tickson\",\"boundaries\"),delete r.ticklabelposition):n(\"tickson\")),T){var L=n(\"showdividers\");L&&(n(\"dividercolor\"),n(\"dividerwidth\"))}if(f===\"date\")if(I0t(t,r,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:B0t}),!r.rangebreaks.length)delete r.rangebreaks;else{for(var x=0;x<r.rangebreaks.length;x++)if(r.rangebreaks[x].pattern===vI){r._hasDayOfWeekBreaks=!0;break}if(ape(r,a),a._has(\"scattergl\")||a._has(\"splom\"))for(var C=0;C<i.data.length;C++){var S=i.data[C];(S.type===\"scattergl\"||S.type===\"splom\")&&(S.visible=!1,d4.warn(S.type+\" traces do not work on axes with rangebreaks. 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a=Og.traceLayerClasses,o=e._fullLayout,s=o._zindices,l=o._modules,u,c,f,h=[],d=[],v=0;v<s.length;v++)for(var m=s[v],b=0;b<l.length;b++){u=l[b];var p=u.name,k=bpe.modules[p].categories;if(k.svg){var M=u.layerName||p+\"layer\",T=M+(v?Number(v)+1:\"\"),L=u.plot;c=wpe(r,L,m),f=c[0],r=c[1],f.length&&h.push({i:a.indexOf(M),zindex:v,className:T,plotMethod:L,cdModule:f}),k.zoomScale&&d.push(\".\"+T)}}h.sort(function(S,g){return(S.zindex||0)-(g.zindex||0)||S.i-g.i});var x=t.plot.selectAll(\"g.mlayer\").data(h,function(S){return S.className});if(x.enter().append(\"g\").attr(\"class\",function(S){return S.className}).classed(\"mlayer\",!0).classed(\"rangeplot\",t.isRangePlot),x.exit().remove(),x.order(),x.each(function(S){var g=wI.select(this),P=S.className;S.plotMethod(e,t,S.cdModule,g,n,i),Og.clipOnAxisFalseQuery.indexOf(\".\"+P)===-1&&K0t.setClipUrl(g,t.layerClipId,e)}),o._has(\"scattergl\")&&(u=bpe.getModule(\"scattergl\"),f=wpe(r,u)[0],u.plot(e,t,f)),!e._context.staticPlot&&(t._hasClipOnAxisFalse&&(t.clipOnAxisFalseTraces=t.plot.selectAll(Og.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),d.length)){var C=t.plot.selectAll(d.join(\",\")).selectAll(\".trace\");t.zoomScalePts=C.selectAll(\"path.point\"),t.zoomScaleTxt=C.selectAll(\".textpoint\")}}xv.clean=function(e,t,r,n){var i=n._plots||{},a=t._plots||{},o=n._subplots||{},s,l,u;if(n._hasOnlyLargeSploms&&!t._hasOnlyLargeSploms)for(u in i)s=i[u],s.plotgroup&&s.plotgroup.remove();var c=n._has&&n._has(\"gl\"),f=t._has&&t._has(\"gl\");if(c&&!f)for(u in i)s=i[u],s._scene&&s._scene.destroy();if(o.xaxis&&o.yaxis){var h=M_.listIds({_fullLayout:n});for(l=0;l<h.length;l++){var d=h[l];t[M_.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var v=n._has&&n._has(\"cartesian\"),m=t._has&&t._has(\"cartesian\");if(v&&!m)Spe(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(o.cartesian)for(l=0;l<o.cartesian.length;l++){var b=o.cartesian[l];if(b.indexOf(s2)===-1&&!a[b]){var p=\".\"+b+\",.\"+b+\"-x,.\"+b+\"-y\";n._cartesianlayer.selectAll(p).remove(),Mpe(b,n)}}};xv.drawFramework=function(e){var t=e._fullLayout,r=e.calcdata,n,i={};for(n=0;n<r.length;n++){var a=r[n][0],o=a.trace,s=o.zorder||0;i[s]||(i[s]=[]),i[s].push(a)}var l=Object.keys(i).map(Number).sort(o2.sorterAsc);l.length||(l=[0]),t._zindices=l;var u=$0t(e),c=u.length,f=[];for(n=0;n<c;n++)f[n]=u[n].slice();for(var h=1;h<l.length;h++){var d=[];for(n=0;n<c;n++)d[n]=u[n].slice(),d[n][0]+=s2+(h+1);f=f.concat(d)}var v=t._cartesianlayer.selectAll(\".subplot\").data(f,String);v.enter().append(\"g\").attr(\"class\",function(m){return\"subplot \"+m[0]}),v.order(),v.exit().call(Spe,t),v.each(function(m){var b=m[0],p=b.indexOf(s2),k=p!==-1,M=k?b.slice(0,p):b,T=t._plots[b];T||(T=o2.extendFlat({},t._plots[M]),T&&(T.id=b,t._plots[b]=T,t._subplots.cartesian.push(b))),T&&(T.plotgroup=wI.select(this),Ape(e,T),k||(T.draglayer=iu(t._draggers,\"g\",b)))})};xv.rangePlot=function(e,t,r){Ape(e,t),Tpe(e,t,r),Y0t.style(e)};function $0t(e){var t=e._fullLayout,r=t._zindices.length,n=t._subplots.cartesian,i=n.length,a,o,s,l,u,c,f=[],h=[];for(a=0;a<i;a++){s=n[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;var d=u._mainAxis,v=c._mainAxis,m=d._id+v._id,b=t._plots[m];l.overlays=[],m!==s&&b?(l.mainplot=m,l.mainplotinfo=b,h.push(s)):(l.mainplot=void 0,l.mainplotinfo=void 0,f.push(s))}for(a=0;a<h.length;a++)s=h[a],l=t._plots[s],l.mainplotinfo.overlays.push(l);var p=f.concat(h),k=[];for(a=0;a<i;a++){s=p[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;for(var M=[],T=1;T<=r;T++){var L=\"\";for(T>1&&(L+=s2+T),M.push(s+L),o=0;o<l.overlays.length;o++)M.push(l.overlays[o].id+L)}M=M.concat([u.layer,c.layer,u.overlaying||\"\",c.overlaying||\"\"]),k.push(M)}return k}function Ape(e,t){var r=e._fullLayout,n=t.plotgroup,i=t.id,a=i.indexOf(s2),o=a!==-1,s=Og.layerValue2layerClass[t.xaxis.layer],l=Og.layerValue2layerClass[t.yaxis.layer],u=r._hasOnlyLargeSploms,c=r._zindices.length>1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=iu(n,\"path\",\"xlines-above\"),t.ylines=iu(n,\"path\",\"ylines-above\"),t.xaxislayer=iu(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=iu(n,\"g\",\"yaxislayer-above\");else{if(!o){var 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d=iu(n,\"g\",\"layer-between\");t.shapelayerBetween=iu(d,\"g\",\"shapelayer\"),t.imagelayerBetween=iu(d,\"g\",\"imagelayer\"),iu(n,\"path\",\"xlines-below\"),iu(n,\"path\",\"ylines-below\"),t.overlinesBelow=iu(n,\"g\",\"overlines-below\"),iu(n,\"g\",\"xaxislayer-below\"),iu(n,\"g\",\"yaxislayer-below\"),t.overaxesBelow=iu(n,\"g\",\"overaxes-below\")}t.overplot=iu(n,\"g\",\"overplot\"),t.plot=iu(t.overplot,\"g\",i),f&&c?t.zerolinelayerAbove=f.zerolinelayerAbove:t.zerolinelayerAbove=iu(n,\"g\",\"zerolinelayer-above\"),o||(t.xlines=iu(n,\"path\",\"xlines-above\"),t.ylines=iu(n,\"path\",\"ylines-above\"),t.overlinesAbove=iu(n,\"g\",\"overlines-above\"),iu(n,\"g\",\"xaxislayer-above\"),iu(n,\"g\",\"yaxislayer-above\"),t.overaxesAbove=iu(n,\"g\",\"overaxes-above\"),t.xlines=n.select(\".xlines-\"+s),t.ylines=n.select(\".ylines-\"+l),t.xaxislayer=n.select(\".xaxislayer-\"+s),t.yaxislayer=n.select(\".yaxislayer-\"+l))}else{var v=f.plotgroup,m=i+\"-x\",b=i+\"-y\";t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer,t.zerolinelayerAbove=f.zerolinelayerAbove,iu(f.overlinesBelow,\"path\",m),iu(f.overlinesBelow,\"path\",b),iu(f.overaxesBelow,\"g\",m),iu(f.overaxesBelow,\"g\",b),t.plot=iu(f.overplot,\"g\",i),iu(f.overlinesAbove,\"path\",m),iu(f.overlinesAbove,\"path\",b),iu(f.overaxesAbove,\"g\",m),iu(f.overaxesAbove,\"g\",b),t.xlines=v.select(\".overlines-\"+s).select(\".\"+m),t.ylines=v.select(\".overlines-\"+l).select(\".\"+b),t.xaxislayer=v.select(\".overaxes-\"+s).select(\".\"+m),t.yaxislayer=v.select(\".overaxes-\"+l).select(\".\"+b)}o||(u||(bI(t.minorGridlayer,\"g\",t.xaxis._id),bI(t.minorGridlayer,\"g\",t.yaxis._id),t.minorGridlayer.selectAll(\"g\").map(function(p){return p[0]}).sort(M_.idSort),bI(t.gridlayer,\"g\",t.xaxis._id),bI(t.gridlayer,\"g\",t.yaxis._id),t.gridlayer.selectAll(\"g\").map(function(p){return p[0]}).sort(M_.idSort)),t.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),t.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0))}function Spe(e,t){if(e){var r={};e.each(function(l){var u=l[0],c=wI.select(this);c.remove(),Mpe(u,t),r[u]=!0});for(var n in t._plots)for(var i=t._plots[n],a=i.overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(\".trace\").remove()}}}function Mpe(e,t){t._draggers.selectAll(\"g.\"+e).remove(),t._defs.select(\"#clip\"+t._uid+e+\"plot\").remove()}xv.toSVG=function(e){var t=e._fullLayout._glimages,r=wI.select(e).selectAll(\".svg-container\"),n=r.filter(function(a,o){return o===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\");function i(){var a=this,o=a.toDataURL(\"image/png\"),s=t.append(\"svg:image\");s.attr({xmlns:J0t.svg,\"xlink:href\":o,preserveAspectRatio:\"none\",x:0,y:0,width:a.style.width,height:a.style.height})}n.each(i)};xv.updateFx=KN().updateFx});var kpe=ye((ulr,Epe)=>{\"use strict\";var 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jr=P+qr-Ee.top,gt=P+ei-Ee.left;Z.call(VU.positionText,gt,jr).call(Ny.setClipUrl,z?m:null,e)}q.select(\"rect\").call(Ny.setRect,P,P,ie,Se),E.call(Ny.setRect,S/2,S/2,ke-S,be-S),C.call(Ny.setTranslate,Math.round(b.x.text-ke/2),Math.round(b.y.text-be/2)),M.attr({transform:\"rotate(\"+p+\",\"+b.x.text+\",\"+b.y.text+\")\"});var Ge=function(We,et){k.selectAll(\".annotation-arrow-g\").remove();var xt=b.x.head,At=b.y.head,Kt=b.x.tail+We,Qt=b.y.tail+et,Mr=b.x.text+We,Gr=b.y.text+et,Ir=k_.rotationXYMatrix(p,Mr,Gr),Yr=k_.apply2DTransform(Ir),_i=k_.apply2DTransform2(Ir),Pi=+E.attr(\"width\"),ai=+E.attr(\"height\"),mi=Mr-.5*Pi,un=mi+Pi,Fn=Gr-.5*ai,An=Fn+ai,Hn=[[mi,Fn,mi,An],[mi,An,un,An],[un,An,un,Fn],[un,Fn,mi,Fn]].map(_i);if(!Hn.reduce(function($r,Ri){return $r^!!k_.segmentsIntersect(xt,At,xt+1e6,At+1e6,Ri[0],Ri[1],Ri[2],Ri[3])},!1)){Hn.forEach(function($r){var Ri=k_.segmentsIntersect(Kt,Qt,xt,At,$r[0],$r[1],$r[2],$r[3]);Ri&&(Kt=Ri.x,Qt=Ri.y)});var Qn=t.arrowwidth,Vi=t.arrowcolor,Jn=t.arrowside,Yn=k.append(\"g\").style({opacity:l2.opacity(Vi)}).classed(\"annotation-arrow-g\",!0),Gt=Yn.append(\"path\").attr(\"d\",\"M\"+Kt+\",\"+Qt+\"L\"+xt+\",\"+At).style(\"stroke-width\",Qn+\"px\").call(l2.stroke,l2.rgb(Vi));if(ogt(Gt,Jn,t),l.annotationPosition&&Gt.node().parentNode&&!n){var wt=xt,tr=At;if(t.standoff){var ir=Math.sqrt(Math.pow(xt-Kt,2)+Math.pow(At-Qt,2));wt+=t.standoff*(Kt-xt)/ir,tr+=t.standoff*(Qt-At)/ir}var wr=Yn.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(Kt-wt)+\",\"+(Qt-tr),transform:UU(wt,tr)}).style(\"stroke-width\",Qn+6+\"px\").call(l2.stroke,\"rgba(0,0,0,0)\").call(l2.fill,\"rgba(0,0,0,0)\"),Xr,ti;p4.init({element:wr.node(),gd:e,prepFn:function(){var $r=Ny.getTranslate(C);Xr=$r.x,ti=$r.y,i&&i.autorange&&h(i._name+\".autorange\",!0),a&&a.autorange&&h(a._name+\".autorange\",!0)},moveFn:function($r,Ri){var 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r=Npe(e,t),n=r.on,i=r.off.concat(r.explicitOff),a={},o=e._fullLayout.annotations,s,l;if(n.length||i.length){for(s=0;s<n.length;s++)l=Ope(e.layout,\"annotations\",o[n[s]]),l.modifyItem(\"visible\",!0),qpe.extendFlat(a,l.getUpdateObj());for(s=0;s<i.length;s++)l=Ope(e.layout,\"annotations\",o[i[s]]),l.modifyItem(\"visible\",!1),qpe.extendFlat(a,l.getUpdateObj());return lgt.call(\"update\",e,{},a)}}function Npe(e,t){var r=e._fullLayout.annotations,n=[],i=[],a=[],o=(t||[]).length,s,l,u,c,f,h,d,v;for(s=0;s<r.length;s++)if(u=r[s],c=u.clicktoshow,c){for(l=0;l<o;l++)if(f=t[l],h=f.xaxis,d=f.yaxis,h._id===u.xref&&d._id===u.yref&&h.d2r(f.x)===Bpe(u._xclick,h)&&d.d2r(f.y)===Bpe(u._yclick,d)){u.visible?c===\"onout\"?v=i:v=a:v=n,v.push(s);break}l===o&&u.visible&&c===\"onout\"&&i.push(s)}return{on:n,off:i,explicitOff:a}}function Bpe(e,t){return t.type===\"log\"?t.l2r(e):t.d2r(e)}});var jU=ye((dlr,Gpe)=>{\"use strict\";var HU=Pr(),TT=ka();Gpe.exports=function(t,r,n,i){i(\"opacity\");var 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XU=Pr(),c2=ho(),pgt=AI().draw;Xpe.exports=function(t){var r=t._fullLayout,n=XU.filterVisible(r.annotations);if(n.length&&t._fullData.length)return XU.syncOrAsync([pgt,ggt],t)};function ggt(e){var t=e._fullLayout;XU.filterVisible(t.annotations).forEach(function(r){var n=c2.getFromId(e,r.xref),i=c2.getFromId(e,r.yref),a=c2.getRefType(r.xref),o=c2.getRefType(r.yref);r._extremes={},a===\"range\"&&Wpe(r,n),o===\"range\"&&Wpe(r,i)})}function Wpe(e,t){var r=t._id,n=r.charAt(0),i=e[n],a=e[\"a\"+n],o=e[n+\"ref\"],s=e[\"a\"+n+\"ref\"],l=e[\"_\"+n+\"padplus\"],u=e[\"_\"+n+\"padminus\"],c={x:1,y:-1}[n]*e[n+\"shift\"],f=3*e.arrowsize*e.arrowwidth||0,h=f+c,d=f-c,v=3*e.startarrowsize*e.arrowwidth||0,m=v+c,b=v-c,p;if(s===o){var k=c2.findExtremes(t,[t.r2c(i)],{ppadplus:h,ppadminus:d}),M=c2.findExtremes(t,[t.r2c(a)],{ppadplus:Math.max(l,m),ppadminus:Math.max(u,b)});p={min:[k.min[0],M.min[0]],max:[k.max[0],M.max[0]]}}else 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kc=Qb(),_gt=mc().overrideAll,xgt=vl().templatedArray;e0e.exports=_gt(xgt(\"annotation\",{visible:kc.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:kc.xanchor,xshift:kc.xshift,yanchor:kc.yanchor,yshift:kc.yshift,text:kc.text,textangle:kc.textangle,font:kc.font,width:kc.width,height:kc.height,opacity:kc.opacity,align:kc.align,valign:kc.valign,bgcolor:kc.bgcolor,bordercolor:kc.bordercolor,borderpad:kc.borderpad,borderwidth:kc.borderwidth,showarrow:kc.showarrow,arrowcolor:kc.arrowcolor,arrowhead:kc.arrowhead,startarrowhead:kc.startarrowhead,arrowside:kc.arrowside,arrowsize:kc.arrowsize,startarrowsize:kc.startarrowsize,arrowwidth:kc.arrowwidth,standoff:kc.standoff,startstandoff:kc.startstandoff,hovertext:kc.hovertext,hoverlabel:kc.hoverlabel,captureevents:kc.captureevents}),\"calc\",\"from-root\")});var r0e=ye((_lr,t0e)=>{\"use strict\";var YU=Pr(),bgt=ho(),wgt=Kd(),Tgt=jU(),Agt=SI();t0e.exports=function(t,r,n){wgt(t,r,{name:\"annotations\",handleItemDefaults:Sgt,fullLayout:n.fullLayout})};function Sgt(e,t,r,n){function i(s,l){return YU.coerce(e,t,Agt,s,l)}function a(s){var l=s+\"axis\",u={_fullLayout:{}};return u._fullLayout[l]=r[l],bgt.coercePosition(t,u,i,s,s,.5)}var o=i(\"visible\");o&&(Tgt(e,t,n.fullLayout,i),a(\"x\"),a(\"y\"),a(\"z\"),YU.noneOrAll(e,t,[\"x\",\"y\",\"z\"]),t.xref=\"x\",t.yref=\"y\",t.zref=\"z\",i(\"xanchor\"),i(\"yanchor\"),i(\"xshift\"),i(\"yshift\"),t.showarrow&&(t.axref=\"pixel\",t.ayref=\"pixel\",i(\"ax\",-10),i(\"ay\",-30),YU.noneOrAll(e,t,[\"ax\",\"ay\"])))}});var o0e=ye((xlr,a0e)=>{\"use strict\";var i0e=Pr(),n0e=ho();a0e.exports=function(t){for(var r=t.fullSceneLayout,n=r.annotations,i=0;i<n.length;i++)Mgt(n[i],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()};function Mgt(e,t){var r=t.fullSceneLayout,n=r.domain,i=t.fullLayout._size,a={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};e._xa={},i0e.extendFlat(e._xa,a),n0e.setConvert(e._xa),e._xa._offset=i.l+n.x[0]*i.w,e._xa.l2p=function(){return .5*(1+e._pdata[0]/e._pdata[3])*i.w*(n.x[1]-n.x[0])},e._ya={},i0e.extendFlat(e._ya,a),n0e.setConvert(e._ya),e._ya._offset=i.t+(1-n.y[1])*i.h,e._ya.l2p=function(){return .5*(1-e._pdata[1]/e._pdata[3])*i.h*(n.y[1]-n.y[0])}}});var JU=ye((blr,s0e)=>{\"use strict\";function KU(e,t){var r=[0,0,0,0],n,i;for(n=0;n<4;++n)for(i=0;i<4;++i)r[i]+=e[4*n+i]*t[n];return r}function Egt(e,t){var r=KU(e.projection,KU(e.view,KU(e.model,[t[0],t[1],t[2],1])));return r}s0e.exports=Egt});var u0e=ye((wlr,l0e)=>{\"use strict\";var kgt=AI().drawRaw,Cgt=JU(),Lgt=[\"x\",\"y\",\"z\"];l0e.exports=function(t){for(var r=t.fullSceneLayout,n=t.dataScale,i=r.annotations,a=0;a<i.length;a++){for(var o=i[a],s=!1,l=0;l<3;l++){var u=Lgt[l],c=o[u],f=r[u+\"axis\"],h=f.r2fraction(c);if(h<0||h>1){s=!0;break}}s?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+a+'\"]').remove():(o._pdata=Cgt(t.glplot.cameraParams,[r.xaxis.r2l(o.x)*n[0],r.yaxis.r2l(o.y)*n[1],r.zaxis.r2l(o.z)*n[2]]),kgt(t.graphDiv,o,a,t.id,o._xa,o._ya))}}});var h0e=ye((Tlr,f0e)=>{\"use strict\";var Pgt=Oa(),c0e=Pr();f0e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:SI()}}},layoutAttributes:SI(),handleDefaults:r0e(),includeBasePlot:Igt,convert:o0e(),draw:u0e()};function Igt(e,t){var r=Pgt.subplotsRegistry.gl3d;if(r)for(var n=r.attrRegex,i=Object.keys(e),a=0;a<i.length;a++){var o=i[a];n.test(o)&&(e[o].annotations||[]).length&&(c0e.pushUnique(t._basePlotModules,r),c0e.pushUnique(t._subplots.gl3d,o))}}});var $U=ye((Mlr,g0e)=>{\"use strict\";var 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a.yref!==\"paper\"&&u!==\"domain\"&&(o=N0.getFromId(t,a.yref),s=S0e(o,a,zm.paramIsY),s&&(a._extremes[o._id]=N0.findExtremes(o,s,A0e(a))))}};function w0e(e,t,r){let n=t[r+\"ref\"],i=r===\"x\"?zm.paramIsX:zm.paramIsY;function a(f,h){f===\"paper\"||N0.getRefType(f)===\"domain\"||(o[f]||(o[f]=[]),o[f].push(h))}let o={};if(t.type===\"path\"&&t.path){let f=t.path.match(zm.segmentRE)||[];for(var s=0,l=0;l<f.length;l++){let h=f[l],d=h.charAt(0),v=i[d].drawn;if(v===void 0)continue;let m=h.slice(1).match(zm.paramRE);m&&m.length>v&&(a(n[s],m[v]),s++)}}else a(n[0],t[r+\"0\"]),a(n[1],t[r+\"1\"]);let u={};for(let f in o){let h=N0.getFromId(e,f);if(h){var c=h.type===\"category\"||h.type===\"multicategory\"?h.r2c:h.d2c;h.type===\"date\"&&(c=eV.decodeDate(c)),u[h._id]=o[f].map(c)}}return u}function T0e(e){return M0e(e.line.width,e.xsizemode,e.x0,e.x1,e.path,!1)}function A0e(e){return M0e(e.line.width,e.ysizemode,e.y0,e.y1,e.path,!0)}function M0e(e,t,r,n,i,a){var o=e/2,s=a;if(t===\"pixel\"){var l=i?eV.extractPathCoords(i,a?zm.paramIsY:zm.paramIsX):[r,n],u=QU.aggNums(Math.max,null,l),c=QU.aggNums(Math.min,null,l),f=c<0?Math.abs(c)+o:o,h=u>0?u+o:o;return{ppad:o,ppadplus:s?f:h,ppadminus:s?h:f}}else return{ppad:o}}function S0e(e,t,r){var n=e._id.charAt(0)===\"x\"?\"x\":\"y\",i=e.type===\"category\"||e.type===\"multicategory\",a,o,s=0,l=0,u=i?e.r2c:e.d2c,c=t[n+\"sizemode\"]===\"scaled\";if(c?(a=t[n+\"0\"],o=t[n+\"1\"],i&&(s=t[n+\"0shift\"],l=t[n+\"1shift\"])):(a=t[n+\"anchor\"],o=t[n+\"anchor\"]),a!==void 0)return[u(a)+s,u(o)+l];if(t.path){var f=1/0,h=-1/0,d=t.path.match(zm.segmentRE),v,m,b,p,k;for(e.type===\"date\"&&(u=eV.decodeDate(u)),v=0;v<d.length;v++)m=d[v],b=r[m.charAt(0)].drawn,b!==void 0&&(p=d[v].slice(1).match(zm.paramRE),!(!p||p.length<b)&&(k=u(p[b]),k<f&&(f=k),k>h&&(h=k)));if(h>=f)return[f,h]}}});var P0e=ye((Llr,L0e)=>{\"use strict\";var C0e=pP();L0e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:$U(),supplyLayoutDefaults:y0e(),supplyDrawNewShapeDefaults:b0e(),includeBasePlot:KM()(\"shapes\"),calcAutorange:k0e(),draw:C0e.draw,drawOne:C0e.drawOne}});var tV=ye((Ilr,R0e)=>{\"use strict\";var I0e=Rh(),Hgt=vl().templatedArray,Plr=ZM();R0e.exports=Hgt(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",I0e.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",I0e.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})});var F0e=ye((Rlr,D0e)=>{\"use strict\";var jgt=Pr(),rV=ho(),Wgt=Kd(),Xgt=tV(),Zgt=\"images\";D0e.exports=function(t,r){var n={name:Zgt,handleItemDefaults:Ygt};Wgt(t,r,n)};function Ygt(e,t,r){function n(h,d){return jgt.coerce(e,t,Xgt,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=rV.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=rV.getFromId(o,c);f._imgIndices.push(t._index)}rV.coercePosition(t,o,n,c,u,0)}return t}});var B0e=ye((Dlr,O0e)=>{\"use strict\";var z0e=Fa(),Kgt=So(),MT=ho(),q0e=df(),Jgt=Wp();O0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s<r.images.length;s++){var l=r.images[s];if(l.visible)if(l.layer===\"below\"&&l.xref!==\"paper\"&&l.yref!==\"paper\"){o=q0e.ref2id(l.xref)+q0e.ref2id(l.yref);var u=r._plots[o];if(!u){a.push(l);continue}u.mainplot&&(o=u.mainplot.id),i[o]||(i[o]=[]),i[o].push(l)}else l.layer===\"above\"?n.push(l):a.push(l)}var c={x:{left:{sizing:\"xMin\",offset:0},center:{sizing:\"xMid\",offset:-1/2},right:{sizing:\"xMax\",offset:-1}},y:{top:{sizing:\"YMin\",offset:0},middle:{sizing:\"YMid\",offset:-1/2},bottom:{sizing:\"YMax\",offset:-1}}};function f(T){var L=z0e.select(this);if(this._imgSrc!==T.source)if(L.attr(\"xmlns\",Jgt.svg),!t._context.staticPlot||T.source&&T.source.slice(0,5)===\"data:\")L.attr(\"xlink:href\",T.source),this._imgSrc=T.source;else{var x=new Promise(function(C){var S=new Image;this.img=S,S.setAttribute(\"crossOrigin\",\"anonymous\"),S.onerror=g,S.onload=function(){var P=document.createElement(\"canvas\");P.width=this.width,P.height=this.height;var E=P.getContext(\"2d\",{willReadFrequently:!0});E.drawImage(this,0,0);var z=P.toDataURL(\"image/png\");L.attr(\"xlink:href\",z),C()},L.on(\"error\",g),S.src=T.source,this._imgSrc=T.source;function g(){L.remove(),C()}}.bind(this));t._promises.push(x)}}function h(T){var L=z0e.select(this),x=MT.getFromId(t,T.xref),C=MT.getFromId(t,T.yref),S=MT.getRefType(T.xref)===\"domain\",g=MT.getRefType(T.yref)===\"domain\",P=r._size,E,z;x!==void 0?E=typeof T.xref==\"string\"&&S?x._length*T.sizex:Math.abs(x.l2p(T.sizex)-x.l2p(0)):E=T.sizex*P.w,C!==void 0?z=typeof T.yref==\"string\"&&g?C._length*T.sizey:Math.abs(C.l2p(T.sizey)-C.l2p(0)):z=T.sizey*P.h;var q=E*c.x[T.xanchor].offset,V=z*c.y[T.yanchor].offset,G=c.x[T.xanchor].sizing+c.y[T.yanchor].sizing,Z,j;switch(x!==void 0?Z=typeof T.xref==\"string\"&&S?x._length*T.x+x._offset:x.r2p(T.x)+x._offset:Z=T.x*P.w+P.l,Z+=q,C!==void 0?j=typeof T.yref==\"string\"&&g?C._length*(1-T.y)+C._offset:C.r2p(T.y)+C._offset:j=P.h-T.y*P.h+P.t,j+=V,T.sizing){case\"fill\":G+=\" slice\";break;case\"stretch\":G=\"none\";break}L.attr({x:Z,y:j,width:E,height:z,preserveAspectRatio:G,opacity:T.opacity});var N=x&&MT.getRefType(T.xref)!==\"domain\"?x._id:\"\",H=C&&MT.getRefType(T.yref)!==\"domain\"?C._id:\"\",re=N+H;Kgt.setClipUrl(L,re?\"clip\"+r._uid+re:null,t)}function d(T){return[T.xref,T.x,T.sizex,T.yref,T.y,T.sizey].join(\"_\")}function v(T,L){return T._index-L._index}var m=r._imageLowerLayer.selectAll(\"image\").data(a,d),b=r._imageUpperLayer.selectAll(\"image\").data(n,d);m.enter().append(\"image\"),b.enter().append(\"image\"),m.exit().remove(),b.exit().remove(),m.each(function(T){f.bind(this)(T),h.bind(this)(T)}),b.each(function(T){f.bind(this)(T),h.bind(this)(T)}),m.sort(v),b.sort(v);var p=Object.keys(r._plots);for(s=0;s<p.length;s++){o=p[s];var k=r._plots[o];if(k.imagelayer){var M=k.imagelayer.selectAll(\"image\").data(i[o]||[],d);M.enter().append(\"image\"),M.exit().remove(),M.each(function(T){f.bind(this)(T),h.bind(this)(T)}),M.sort(v)}}}});var V0e=ye((Flr,U0e)=>{\"use strict\";var N0e=Eo(),$gt=E6();U0e.exports=function(t,r,n,i){r=r||{};var a=n===\"log\"&&r.type===\"linear\",o=n===\"linear\"&&r.type===\"log\";if(a||o){for(var s=t._fullLayout.images,l=r._id.charAt(0),u,c,f=0;f<s.length;f++)if(u=s[f],c=\"images[\"+f+\"].\",u[l+\"ref\"]===r._id){var h=u[l],d=u[\"size\"+l],v=null,m=null;if(a){v=$gt(h,r.range);var b=d/Math.pow(10,v)/2;m=2*Math.log(b+Math.sqrt(1+b*b))/Math.LN10}else v=Math.pow(10,h),m=v*(Math.pow(10,d/2)-Math.pow(10,-d/2));N0e(v)?N0e(m)||(m=null):(v=null,m=null),i(c+l,v),i(c+\"size\"+l,m)}}}});var H0e=ye((zlr,G0e)=>{\"use strict\";G0e.exports={moduleType:\"component\",name:\"images\",layoutAttributes:tV(),supplyLayoutDefaults:F0e(),includeBasePlot:KM()(\"images\"),draw:B0e(),convertCoords:V0e()}});var MI=ye((qlr,j0e)=>{\"use 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Qgt=ec(),emt=Ih(),tmt=Ao().extendFlat,rmt=mc().overrideAll,imt=q6(),W0e=vl().templatedArray,nmt=W0e(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});X0e.exports=rmt(W0e(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:nmt,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:tmt(imt({editType:\"arraydraw\"}),{}),font:Qgt({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:emt.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")});var J0e=ye((Blr,K0e)=>{\"use strict\";var EI=Pr(),Z0e=Kd(),Y0e=iV(),amt=MI(),omt=amt.name,smt=Y0e.buttons;K0e.exports=function(t,r){var n={name:omt,handleItemDefaults:lmt};Z0e(t,r,n)};function lmt(e,t,r){function n(o,s){return EI.coerce(e,t,Y0e,o,s)}var i=Z0e(e,t,{name:\"buttons\",handleItemDefaults:umt}),a=n(\"visible\",i.length>0);a&&(n(\"active\"),n(\"direction\"),n(\"type\"),n(\"showactive\"),n(\"x\"),n(\"y\"),EI.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),EI.coerceFont(n,\"font\",r.font),n(\"bgcolor\",r.paper_bgcolor),n(\"bordercolor\"),n(\"borderwidth\"))}function umt(e,t){function r(i,a){return EI.coerce(e,t,smt,i,a)}var n=r(\"visible\",e.method===\"skip\"||Array.isArray(e.args));n&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}});var ege=ye((Nlr,Q0e)=>{\"use strict\";Q0e.exports=Mf;var Ng=Fa(),$0e=ka(),ET=So(),kI=Pr();function Mf(e,t,r){this.gd=e,this.container=t,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}Mf.barWidth=2;Mf.barLength=20;Mf.barRadius=2;Mf.barPad=1;Mf.barColor=\"#808BA4\";Mf.prototype.enable=function(t,r,n){var i=this.gd._fullLayout,a=i.width,o=i.height;this.position=t;var s=this.position.l,l=this.position.w,u=this.position.t,c=this.position.h,f=this.position.direction,h=f===\"down\",d=f===\"left\",v=f===\"right\",m=f===\"up\",b=l,p=c,k,M,T,L;!h&&!d&&!v&&!m&&(this.position.direction=\"down\",h=!0);var x=h||m;x?(k=s,M=k+b,h?(T=u,L=Math.min(T+p,o),p=L-T):(L=u+p,T=Math.max(L-p,0),p=L-T)):(T=u,L=T+p,d?(M=s+b,k=Math.max(M-b,0),b=M-k):(k=s,M=Math.min(k+b,a),b=M-k)),this._box={l:k,t:T,w:b,h:p};var C=l>b,S=Mf.barLength+2*Mf.barPad,g=Mf.barWidth+2*Mf.barPad,P=s,E=u+c;E+g>o&&(E=o-g);var z=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call($0e.fill,Mf.barColor),C?(this.hbar=z.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:P,y:E,width:S,height:g}),this._hbarXMin=P+S/2,this._hbarTranslateMax=b-S):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var q=c>p,V=Mf.barWidth+2*Mf.barPad,G=Mf.barLength+2*Mf.barPad,Z=s+l,j=u;Z+V>a&&(Z=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(q?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call($0e.fill,Mf.barColor),q?(this.vbar=N.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:Z,y:j,width:V,height:G}),this._vbarYMin=j+G/2,this._vbarTranslateMax=p-G):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var H=this.id,re=k-.5,ae=q?M+V+.5:M+.5,_e=T-.5,Ee=C?L+g+.5:L+.5,Ce=i._topdefs.selectAll(\"#\"+H).data(C||q?[0]:[]);if(Ce.exit().remove(),Ce.enter().append(\"clipPath\").attr(\"id\",H).append(\"rect\"),C||q?(this._clipRect=Ce.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(ae)-Math.floor(re),height:Math.ceil(Ee)-Math.floor(_e)}),this.container.call(ET.setClipUrl,H,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(ET.setClipUrl,null),delete this._clipRect),C||q){var ge=Ng.behavior.drag().on(\"dragstart\",function(){Ng.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(ge);var ie=Ng.behavior.drag().on(\"dragstart\",function(){Ng.event.sourceEvent.preventDefault(),Ng.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),q&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};Mf.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(ET.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)};Mf.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=Ng.event.dx),this.vbar&&(r-=Ng.event.dy),this.setTranslate(t,r)};Mf.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=Ng.event.deltaY),this.vbar&&(r+=Ng.event.deltaY),this.setTranslate(t,r)};Mf.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=kI.constrain(Ng.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=kI.constrain(Ng.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};Mf.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=kI.constrain(t||0,0,n),r=kI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(ET.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(ET.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(ET.setTranslate,t,r+o*this._vbarTranslateMax)}}});var cge=ye((Ulr,uge)=>{\"use strict\";var kT=Fa(),y4=Mc(),_4=ka(),CT=So(),t0=Pr(),CI=Zl(),cmt=vl().arrayEditor,rge=Dh().LINE_SPACING,es=MI(),fmt=ege();uge.exports=function(t){var r=t._fullLayout,n=t0.filterVisible(r[es.name]);function i(h){y4.autoMargin(t,sge(h))}var a=r._menulayer.selectAll(\"g.\"+es.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(es.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){kT.select(this).selectAll(\"g.\"+es.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+es.headerGroupClassName).data(n,hmt);o.enter().append(\"g\").classed(es.headerGroupClassName,!0);for(var s=t0.ensureSingle(a,\"g\",es.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];ymt(t,u)}var c=\"updatemenus\"+r._uid,f=new fmt(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(aV)),o.exit().each(function(h){s.call(aV),i(h)}).remove(),o.each(function(h){var d=kT.select(this),v=h.type===\"dropdown\"?s:null;y4.manageCommandObserver(t,h,h.buttons,function(m){nV(t,h,h.buttons[m.index],d,v,f,m.index,!0)}),h.type===\"dropdown\"?(nge(t,d,s,f,h),ige(s,h)&&x4(t,d,s,f,h)):x4(t,d,null,null,h)})}};function hmt(e){return e._index}function dmt(e){return+e.attr(es.menuIndexAttrName)==-1}function ige(e,t){return+e.attr(es.menuIndexAttrName)===t._index}function nV(e,t,r,n,i,a,o,s){t.active=o,cmt(e.layout,es.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?x4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(es.menuIndexAttrName,\"-1\"),nge(e,n,i,a,t),s||x4(e,n,i,a,t))}function nge(e,t,r,n,i){var a=t0.ensureSingle(t,\"g\",es.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||es.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(oV,i,l,e).call(lge,i,u,c);var f=t0.ensureSingle(t,\"text\",es.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(CT.font,i.font).text(es.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-es.arrowOffsetX+i.pad.l,y:o.headerHeight/2+es.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(aV,String(ige(r,i)?-1:i._index)),x4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(age)}),a.on(\"mouseout\",function(){a.call(oge,i)}),CT.setTranslate(t,o.lx,o.ly)}function x4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!dmt(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?es.dropdownButtonClassName:es.buttonClassName,s=r.selectAll(\"g.\"+o).data(t0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+es.gapButtonHeader:c=h.headerWidth+es.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-es.gapButtonHeader+es.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-es.gapButtonHeader+es.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:es.gapButton,xPad:es.gapButton,index:0},m={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,p){var k=kT.select(this);k.call(oV,i,b,e).call(lge,i,v),k.on(\"click\",function(){kT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===p?(nV(e,i,b,t,r,n,-1),y4.executeAPICommand(e,b.method,b.args2)):(nV(e,i,b,t,r,n,p),y4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),k.on(\"mouseover\",function(){k.call(age)}),k.on(\"mouseout\",function(){k.call(oge,i),s.call(tge,i)})}),s.call(tge,i),d?(m.w=Math.max(h.openWidth,h.headerWidth),m.h=v.y-m.t):(m.w=v.x-m.l,m.h=Math.max(h.openHeight,h.headerHeight)),m.direction=i.direction,n&&(s.size()?vmt(e,t,r,n,i,m):pmt(n))}function vmt(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+es.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+es.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function pmt(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function oV(e,t,r,n){e.call(gmt,t).call(mmt,t,r,n)}function gmt(e,t){var r=t0.ensureSingle(e,\"rect\",es.itemRectClassName,function(n){n.attr({rx:es.rx,ry:es.ry,\"shape-rendering\":\"crispEdges\"})});r.call(_4.stroke,t.bordercolor).call(_4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function mmt(e,t,r,n){var i=t0.ensureSingle(e,\"text\",es.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=t0.templateString(a,o)),i.call(CT.font,t.font).text(a).call(CI.convertToTspans,n)}function tge(e,t){var r=t.active;e.each(function(n,i){var a=kT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+es.itemRectClassName).call(_4.fill,es.activeColor)})}function age(e){e.select(\"rect.\"+es.itemRectClassName).call(_4.fill,es.hoverColor)}function oge(e,t){e.select(\"rect.\"+es.itemRectClassName).call(_4.fill,t.bgcolor)}function ymt(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=CT.tester.selectAll(\"g.\"+es.dropdownButtonClassName).data(t0.filterVisible(t.buttons));n.enter().append(\"g\").classed(es.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=kT.select(this);h.call(oV,t,c,e);var d=h.select(\".\"+es.itemTextClassName),v=d.node()&&CT.bBox(d.node()).width,m=Math.max(v+es.textPadX,es.minWidth),b=t.font.size*rge,p=CI.lineCount(d),k=Math.max(b*p,es.minHeight)+es.textOffsetY;k=Math.ceil(k),m=Math.ceil(m),r.widths[f]=m,r.heights[f]=k,r.height1=Math.max(r.height1,k),r.width1=Math.max(r.width1,m),i?(r.totalWidth=Math.max(r.totalWidth,m),r.openWidth=r.totalWidth,r.totalHeight+=k+es.gapButton,r.openHeight+=k+es.gapButton):(r.totalWidth+=m+es.gapButton,r.openWidth+=m+es.gapButton,r.totalHeight=Math.max(r.totalHeight,k),r.openHeight=r.totalHeight)}),i?r.totalHeight-=es.gapButton:r.totalWidth-=es.gapButton,r.headerWidth=r.width1+es.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=es.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=es.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";t0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),t0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";t0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),t0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),y4.autoMargin(e,sge(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function sge(e){return es.autoMarginIdRoot+e._index}function lge(e,t,r,n){n=n||{};var i=e.select(\".\"+es.itemRectClassName),a=e.select(\".\"+es.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;CT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*rge,h=CI.lineCount(a),d=(h-1)*f/2;CI.positionText(a,es.textOffsetX,c/2-d+es.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function aV(e,t){e.attr(es.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+es.dropdownButtonClassName).remove()}});var hge=ye((Vlr,fge)=>{\"use strict\";var _mt=MI();fge.exports={moduleType:\"component\",name:_mt.name,layoutAttributes:iV(),supplyLayoutDefaults:J0e(),draw:cge()}});var b4=ye((Glr,dge)=>{\"use strict\";dge.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}});var sV=ye((Hlr,gge)=>{\"use strict\";var vge=ec(),xmt=q6(),bmt=Ao().extendDeepAll,wmt=mc().overrideAll,Tmt=YS(),pge=vl().templatedArray,f2=b4(),Amt=pge(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});gge.exports=wmt(pge(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:Amt,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:bmt(xmt({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:Tmt.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:vge({})},font:vge({}),activebgcolor:{valType:\"color\",dflt:f2.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:f2.railBgColor},bordercolor:{valType:\"color\",dflt:f2.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:f2.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:f2.tickLength},tickcolor:{valType:\"color\",dflt:f2.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:f2.minorTickLength}}),\"arraydraw\",\"from-root\")});var xge=ye((jlr,_ge)=>{\"use strict\";var LT=Pr(),mge=Kd(),yge=sV(),Smt=b4(),Mmt=Smt.name,Emt=yge.steps;_ge.exports=function(t,r){mge(t,r,{name:Mmt,handleItemDefaults:kmt})};function kmt(e,t,r){function n(f,h){return LT.coerce(e,t,yge,f,h)}for(var i=mge(e,t,{name:\"steps\",handleItemDefaults:Cmt}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=LT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),LT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),LT.coerceFont(n,\"font\",r.font);var c=n(\"currentvalue.visible\");c&&(n(\"currentvalue.xanchor\"),n(\"currentvalue.prefix\"),n(\"currentvalue.suffix\"),n(\"currentvalue.offset\"),LT.coerceFont(n,\"currentvalue.font\",t.font)),n(\"transition.duration\"),n(\"transition.easing\"),n(\"bgcolor\"),n(\"activebgcolor\"),n(\"bordercolor\"),n(\"borderwidth\"),n(\"ticklen\"),n(\"tickwidth\"),n(\"tickcolor\"),n(\"minorticklen\")}}function Cmt(e,t){function r(a,o){return LT.coerce(e,t,Emt,a,o)}var n;if(e.method!==\"skip\"&&!Array.isArray(e.args)?n=t.visible=!1:n=r(\"visible\"),n){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+t._index);r(\"value\",i),r(\"execute\")}}});var Lge=ye((Wlr,Cge)=>{\"use strict\";var Ug=Fa(),LI=Mc(),C_=ka(),Vg=So(),r0=Pr(),Lmt=r0.strTranslate,w4=Zl(),Pmt=vl().arrayEditor,Rs=b4(),cV=Dh(),Tge=cV.LINE_SPACING,lV=cV.FROM_TL,uV=cV.FROM_BR;Cge.exports=function(t){var r=t._context.staticPlot,n=t._fullLayout,i=Imt(n,t),a=n._infolayer.selectAll(\"g.\"+Rs.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(Rs.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),LI.autoMargin(t,Age(c))}if(a.exit().each(function(){Ug.select(this).selectAll(\"g.\"+Rs.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+Rs.groupClassName).data(i,Rmt);s.enter().append(\"g\").classed(Rs.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];Dmt(t,u)}s.each(function(c){var f=Ug.select(this);Bmt(c),LI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||Mge(t,f,d,h.index,!1,!0))}),Fmt(t,Ug.select(this),c)})}};function Age(e){return Rs.autoMarginIdRoot+e._index}function Imt(e,t){for(var r=e[Rs.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=t,n.push(a))}return n}function Rmt(e){return e._index}function Dmt(e,t){var r=Vg.tester.selectAll(\"g.\"+Rs.labelGroupClass).data(t._visibleSteps);r.enter().append(\"g\").classed(Rs.labelGroupClass,!0);var n=0,i=0;r.each(function(v){var m=Ug.select(this),b=Sge(m,{step:v},t),p=b.node();if(p){var k=Vg.bBox(p);i=Math.max(i,k.height),n=Math.max(n,k.width)}}),r.remove();var a=t._dims={};a.inputAreaWidth=Math.max(Rs.railWidth,Rs.gripHeight);var o=e._fullLayout._size;a.lx=o.l+o.w*t.x,a.ly=o.t+o.h*(1-t.y),t.lenmode===\"fraction\"?a.outerLength=Math.round(o.w*t.len):a.outerLength=t.len,a.inputAreaStart=0,a.inputAreaLength=Math.round(a.outerLength-t.pad.l-t.pad.r);var s=a.inputAreaLength-2*Rs.stepInset,l=s/(t._stepCount-1),u=n+Rs.labelPadding;if(a.labelStride=Math.max(1,Math.ceil(u/l)),a.labelHeight=i,a.currentValueMaxWidth=0,a.currentValueHeight=0,a.currentValueTotalHeight=0,a.currentValueMaxLines=1,t.currentvalue.visible){var c=Vg.tester.append(\"g\");r.each(function(v){var m=PI(c,t,v.label),b=m.node()&&Vg.bBox(m.node())||{width:0,height:0},p=w4.lineCount(m);a.currentValueMaxWidth=Math.max(a.currentValueMaxWidth,Math.ceil(b.width)),a.currentValueHeight=Math.max(a.currentValueHeight,Math.ceil(b.height)),a.currentValueMaxLines=Math.max(a.currentValueMaxLines,p)}),a.currentValueTotalHeight=a.currentValueHeight+t.currentvalue.offset,c.remove()}a.height=a.currentValueTotalHeight+Rs.tickOffset+t.ticklen+Rs.labelOffset+a.labelHeight+t.pad.t+t.pad.b;var f=\"left\";r0.isRightAnchor(t)&&(a.lx-=a.outerLength,f=\"right\"),r0.isCenterAnchor(t)&&(a.lx-=a.outerLength/2,f=\"center\");var h=\"top\";r0.isBottomAnchor(t)&&(a.ly-=a.height,h=\"bottom\"),r0.isMiddleAnchor(t)&&(a.ly-=a.height/2,h=\"middle\"),a.outerLength=Math.ceil(a.outerLength),a.height=Math.ceil(a.height),a.lx=Math.round(a.lx),a.ly=Math.round(a.ly);var d={y:t.y,b:a.height*uV[h],t:a.height*lV[h]};t.lenmode===\"fraction\"?(d.l=0,d.xl=t.x-t.len*lV[f],d.r=0,d.xr=t.x+t.len*uV[f]):(d.x=t.x,d.l=a.outerLength*lV[f],d.r=a.outerLength*uV[f]),LI.autoMargin(e,Age(t),d)}function Fmt(e,t,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),t.call(PI,r).call(Umt,r).call(qmt,r).call(Omt,r).call(Nmt,e,r).call(zmt,e,r);var n=r._dims;Vg.setTranslate(t,n.lx+r.pad.l,n.ly+r.pad.t),t.call(kge,r,!1),t.call(PI,r)}function PI(e,t,r){if(t.currentvalue.visible){var n=t._dims,i,a;switch(t.currentvalue.xanchor){case\"right\":i=n.inputAreaLength-Rs.currentValueInset-n.currentValueMaxWidth,a=\"left\";break;case\"center\":i=n.inputAreaLength*.5,a=\"middle\";break;default:i=Rs.currentValueInset,a=\"left\"}var o=r0.ensureSingle(e,\"text\",Rs.labelClass,function(h){h.attr({\"text-anchor\":a,\"data-notex\":1})}),s=t.currentvalue.prefix?t.currentvalue.prefix:\"\";if(typeof r==\"string\")s+=r;else{var l=t.steps[t.active].label,u=t._gd._fullLayout._meta;u&&(l=r0.templateString(l,u)),s+=l}t.currentvalue.suffix&&(s+=t.currentvalue.suffix),o.call(Vg.font,t.currentvalue.font).text(s).call(w4.convertToTspans,t._gd);var c=w4.lineCount(o),f=(n.currentValueMaxLines+1-c)*t.currentvalue.font.size*Tge;return w4.positionText(o,i,f),o}}function zmt(e,t,r){var n=r0.ensureSingle(e,\"rect\",Rs.gripRectClass,function(i){i.call(Ege,t,e,r).style(\"pointer-events\",\"all\")});n.attr({width:Rs.gripWidth,height:Rs.gripHeight,rx:Rs.gripRadius,ry:Rs.gripRadius}).call(C_.stroke,r.bordercolor).call(C_.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function Sge(e,t,r){var n=r0.ensureSingle(e,\"text\",Rs.labelClass,function(o){o.attr({\"text-anchor\":\"middle\",\"data-notex\":1})}),i=t.step.label,a=r._gd._fullLayout._meta;return a&&(i=r0.templateString(i,a)),n.call(Vg.font,r.font).text(i).call(w4.convertToTspans,r._gd),n}function qmt(e,t){var r=r0.ensureSingle(e,\"g\",Rs.labelsClass),n=t._dims,i=r.selectAll(\"g.\"+Rs.labelGroupClass).data(n.labelSteps);i.enter().append(\"g\").classed(Rs.labelGroupClass,!0),i.exit().remove(),i.each(function(a){var o=Ug.select(this);o.call(Sge,a,t),Vg.setTranslate(o,fV(t,a.fraction),Rs.tickOffset+t.ticklen+t.font.size*Tge+Rs.labelOffset+n.currentValueTotalHeight)})}function bge(e,t,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&Mge(e,t,r,o,!0,i)}function Mge(e,t,r,n,i,a){var o=r.active;r.active=n,Pmt(e.layout,Rs.name,r).applyUpdate(\"active\",n);var s=r.steps[r.active];t.call(kge,r,a),t.call(PI,r),e.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:i,previousActive:o}),s&&s.method&&i&&(t._nextMethod?(t._nextMethod.step=s,t._nextMethod.doCallback=i,t._nextMethod.doTransition=a):(t._nextMethod={step:s,doCallback:i,doTransition:a},t._nextMethodRaf=window.requestAnimationFrame(function(){var l=t._nextMethod.step;l.method&&(l.execute&&LI.executeAPICommand(e,l.method,l.args),t._nextMethod=null,t._nextMethodRaf=null)})))}function Ege(e,t,r){if(t._context.staticPlot)return;var n=r.node(),i=Ug.select(t);function a(){return r.data()[0]}function o(){var s=a();t.emit(\"plotly_sliderstart\",{slider:s});var l=r.select(\".\"+Rs.gripRectClass);Ug.event.stopPropagation(),Ug.event.preventDefault(),l.call(C_.fill,s.activebgcolor);var u=wge(s,Ug.mouse(n)[0]);bge(t,r,s,u,!0),s._dragging=!0;function c(){var h=a(),d=wge(h,Ug.mouse(n)[0]);bge(t,r,h,d,!1)}i.on(\"mousemove\",c),i.on(\"touchmove\",c);function f(){var h=a();h._dragging=!1,l.call(C_.fill,h.bgcolor),i.on(\"mouseup\",null),i.on(\"mousemove\",null),i.on(\"touchend\",null),i.on(\"touchmove\",null),t.emit(\"plotly_sliderend\",{slider:h,step:h.steps[h.active]})}i.on(\"mouseup\",f),i.on(\"touchend\",f)}e.on(\"mousedown\",o),e.on(\"touchstart\",o)}function Omt(e,t){var r=e.selectAll(\"rect.\"+Rs.tickRectClass).data(t._visibleSteps),n=t._dims;r.enter().append(\"rect\").classed(Rs.tickRectClass,!0),r.exit().remove(),r.attr({width:t.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each(function(i,a){var o=a%n.labelStride===0,s=Ug.select(this);s.attr({height:o?t.ticklen:t.minorticklen}).call(C_.fill,t.tickcolor),Vg.setTranslate(s,fV(t,a/(t._stepCount-1))-.5*t.tickwidth,(o?Rs.tickOffset:Rs.minorTickOffset)+n.currentValueTotalHeight)})}function Bmt(e){var t=e._dims;t.labelSteps=[];for(var r=e._stepCount,n=0;n<r;n+=t.labelStride)t.labelSteps.push({fraction:n/(r-1),step:e._visibleSteps[n]})}function kge(e,t,r){for(var n=e.select(\"rect.\"+Rs.gripRectClass),i=0,a=0;a<t._stepCount;a++)if(t._visibleSteps[a]._index===t.active){i=a;break}var o=fV(t,i/(t._stepCount-1));if(!t._invokingCommand){var s=n;r&&t.transition.duration>0&&(s=s.transition().duration(t.transition.duration).ease(t.transition.easing)),s.attr(\"transform\",Lmt(o-Rs.gripWidth*.5,t._dims.currentValueTotalHeight))}}function fV(e,t){var r=e._dims;return r.inputAreaStart+Rs.stepInset+(r.inputAreaLength-2*Rs.stepInset)*Math.min(1,Math.max(0,t))}function wge(e,t){var r=e._dims;return Math.min(1,Math.max(0,(t-Rs.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*Rs.stepInset-2*r.inputAreaStart)))}function Nmt(e,t,r){var n=r._dims,i=r0.ensureSingle(e,\"rect\",Rs.railTouchRectClass,function(a){a.call(Ege,t,e,r).style(\"pointer-events\",\"all\")});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,Rs.tickOffset+r.ticklen+n.labelHeight)}).call(C_.fill,r.bgcolor).attr(\"opacity\",0),Vg.setTranslate(i,0,n.currentValueTotalHeight)}function Umt(e,t){var r=t._dims,n=r.inputAreaLength-Rs.railInset*2,i=r0.ensureSingle(e,\"rect\",Rs.railRectClass);i.attr({width:n,height:Rs.railWidth,rx:Rs.railRadius,ry:Rs.railRadius,\"shape-rendering\":\"crispEdges\"}).call(C_.stroke,t.bordercolor).call(C_.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\"),Vg.setTranslate(i,Rs.railInset,(r.inputAreaWidth-Rs.railWidth)*.5+r.currentValueTotalHeight)}});var Ige=ye((Xlr,Pge)=>{\"use strict\";var Vmt=b4();Pge.exports={moduleType:\"component\",name:Vmt.name,layoutAttributes:sV(),supplyLayoutDefaults:xge(),draw:Lge()}});var II=ye((Zlr,Dge)=>{\"use strict\";var Rge=Ih();Dge.exports={bgcolor:{valType:\"color\",dflt:Rge.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:Rge.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 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Gmt=df(),Hmt=Zl(),qge=RI(),jmt=Dh().LINE_SPACING,DI=qge.name;function Oge(e){var t=e&&e[DI];return t&&t.visible}FI.isVisible=Oge;FI.makeData=function(e){for(var t=Gmt.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(Oge(a)){n.push(a);var o=a[DI];o._id=DI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};FI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[DI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(Hmt.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*jmt}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:qge.extraPad+n._offsetShift*2}}});var Gge=ye(($lr,Vge)=>{\"use strict\";var zI=Pr(),Nge=vl(),Uge=df(),Wmt=II(),Xmt=hV();Vge.exports=function(t,r,n){var i=t[n],a=r[n];if(!(i.rangeslider||r._requestRangeslider[a._id]))return;zI.isPlainObject(i.rangeslider)||(i.rangeslider={});var o=i.rangeslider,s=Nge.newContainer(a,\"rangeslider\");function l(L,x){return zI.coerce(o,s,Wmt,L,x)}var u,c;function f(L,x){return zI.coerce(u,c,Xmt,L,x)}var h=l(\"visible\");if(h){l(\"bgcolor\",r.plot_bgcolor),l(\"bordercolor\"),l(\"borderwidth\"),l(\"thickness\"),l(\"autorange\",!a.isValidRange(o.range)),l(\"range\");var d=r._subplots;if(d)for(var v=d.cartesian.filter(function(L){return L.slice(0,Math.max(0,L.indexOf(\"y\")))===Uge.name2id(n)}).map(function(L){return L.slice(L.indexOf(\"y\"),L.length)}),m=zI.simpleMap(v,Uge.id2name),b=0;b<m.length;b++){var p=m[b];u=o[p]||{},c=Nge.newContainer(s,p,\"yaxis\");var k=r[p],M;u.range&&k.isValidRange(u.range)&&(M=\"fixed\");var T=f(\"rangemode\",M);T!==\"match\"&&f(\"range\",k.range.slice())}s._input=o}}});var jge=ye((Qlr,Hge)=>{\"use strict\";var Zmt=df().list,Ymt=Mg().getAutoRange,Kmt=RI();Hge.exports=function(t){for(var r=Zmt(t,\"x\",!0),n=0;n<r.length;n++){var i=r[n],a=i[Kmt.name];a&&a.visible&&a.autorange&&(a._input.autorange=!0,a._input.range=a.range=Ymt(t,i))}}});var Yge=ye((eur,Zge)=>{\"use strict\";var qI=Fa(),Jmt=Oa(),$mt=Mc(),Jf=Pr(),OI=Jf.strTranslate,Xge=So(),L_=ka(),Qmt=qb(),eyt=mh(),dV=df(),tyt=yv(),ryt=Eg(),tl=RI();Zge.exports=function(e){for(var t=e._fullLayout,r=t._rangeSliderData,n=0;n<r.length;n++){var i=r[n][tl.name];i._clipId=i._id+\"-\"+t._uid}function a(s){return s._name}var o=t._infolayer.selectAll(\"g.\"+tl.containerClassName).data(r,a);o.exit().each(function(s){var l=s[tl.name];t._topdefs.select(\"#\"+l._clipId).remove()}).remove(),r.length!==0&&(o.enter().append(\"g\").classed(tl.containerClassName,!0).attr(\"pointer-events\",\"all\"),o.each(function(s){var l=qI.select(this),u=s[tl.name],c=t[dV.id2name(s.anchor)],f=u[dV.id2name(s.anchor)];if(u.range){var h=Jf.simpleMap(u.range,s.r2l),d=Jf.simpleMap(s.range,s.r2l),v;d[0]<d[1]?v=[Math.min(h[0],d[0]),Math.max(h[1],d[1])]:v=[Math.max(h[0],d[0]),Math.min(h[1],d[1])],u.range=u._input.range=Jf.simpleMap(v,s.l2r)}s.cleanRange(\"rangeslider.range\");var m=t._size,b=s.domain;u._width=m.w*(b[1]-b[0]);var p=Math.round(m.l+m.w*b[0]),k=Math.round(m.t+m.h*(1-s._counterDomainMin)+(s.side===\"bottom\"?s._depth:0)+u._offsetShift+tl.extraPad);l.attr(\"transform\",OI(p,k)),u._rl=Jf.simpleMap(u.range,s.r2l);var M=u._rl[0],T=u._rl[1],L=T-M;if(u.p2d=function(G){return G/u._width*L+M},u.d2p=function(G){return(G-M)/L*u._width},s.rangebreaks){var x=s.locateBreaks(M,T);if(x.length){var C,S,g=0;for(C=0;C<x.length;C++)S=x[C],g+=S.max-S.min;var P=u._width/(T-M-g),E=[-P*M];for(C=0;C<x.length;C++)S=x[C],E.push(E[E.length-1]-P*(S.max-S.min));for(u.d2p=function(G){for(var Z=E[0],j=0;j<x.length;j++){var N=x[j];if(G>=N.max)Z=E[j+1];else if(G<N.min)break}return 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i=e.select(\"rect.\"+tl.slideBoxClassName).node(),a=e.select(\"rect.\"+tl.grabAreaMinClassName).node(),o=e.select(\"rect.\"+tl.grabAreaMaxClassName).node();function s(){var l=qI.event,u=l.target,c=Wge(l),f=c-e.node().getBoundingClientRect().left,h=n.d2p(r._rl[0]),d=n.d2p(r._rl[1]),v=tyt.coverSlip();this.addEventListener(\"touchmove\",m),this.addEventListener(\"touchend\",b),v.addEventListener(\"mousemove\",m),v.addEventListener(\"mouseup\",b);function m(p){var k=Wge(p),M=+k-c,T,L,x;switch(u){case i:if(x=\"ew-resize\",h+M>r._length||d+M<0)return;T=h+M,L=d+M;break;case a:if(x=\"col-resize\",h+M>r._length)return;T=h+M,L=d;break;case o:if(x=\"col-resize\",d+M<0)return;T=h,L=d+M;break;default:x=\"ew-resize\",T=f,L=f+M;break}if(L<T){var C=L;L=T,T=C}n._pixelMin=T,n._pixelMax=L,ryt(qI.select(v),x),nyt(e,t,r,n)}function 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Ome=ye((gur,qme)=>{\"use strict\";var T4=Pr(),zme=mc().overrideAll,A4=TV(),h2={error_x:T4.extendFlat({},A4),error_y:T4.extendFlat({},A4)};delete h2.error_x.copy_zstyle;delete h2.error_y.copy_zstyle;delete h2.error_y.copy_ystyle;var S4={error_x:T4.extendFlat({},A4),error_y:T4.extendFlat({},A4),error_z:T4.extendFlat({},A4)};delete S4.error_x.copy_ystyle;delete S4.error_y.copy_ystyle;delete S4.error_z.copy_ystyle;delete S4.error_z.copy_zstyle;qme.exports={moduleType:\"component\",name:\"errorbars\",schema:{traces:{scatter:h2,bar:h2,histogram:h2,scatter3d:zme(S4,\"calc\",\"nested\"),scattergl:zme(h2,\"calc\",\"nested\")}},supplyDefaults:Ame(),calc:Cme(),makeComputeError:AV(),plot:Ime(),style:Fme(),hoverInfo:t1t};function t1t(e,t,r){(t.error_y||{}).visible&&(r.yerr=e.yh-e.y,t.error_y.symmetric||(r.yerrneg=e.y-e.ys)),(t.error_x||{}).visible&&(r.xerr=e.xh-e.x,t.error_x.symmetric||(r.xerrneg=e.x-e.xs))}});var Nme=ye((mur,Bme)=>{\"use 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pt=e.select(\".\"+gf.cbfills).selectAll(\"rect.\"+gf.cbfill).attr(\"style\",\"\").data(V);pt.enter().append(\"rect\").classed(gf.cbfill,!0).attr(\"style\",\"\"),pt.exit().remove();var jt=g.map(ke.c2p).map(Math.round).sort(function(qr,jr){return qr-jr});pt.each(function(qr,jr){var gt=[jr===0?g[0]:(V[jr]+V[jr-1])/2,jr===V.length-1?g[1]:(V[jr]+V[jr+1])/2].map(ke.c2p).map(Math.round);n&&(gt[1]=U0.constrain(gt[1]+(gt[1]>gt[0])?1:-1,jt[0],jt[1]));var Ge=I_.select(this).attr(n?\"x\":\"y\",_e).attr(n?\"y\":\"x\",I_.min(gt)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(I_.max(gt)-I_.min(gt),2));if(t._fillgradient)Gg.gradient(Ge,r,t._id,n?\"vertical\":\"horizontalreversed\",t._fillgradient,\"fill\");else{var Je=E(qr).replace(\"e-\",\"\");Ge.attr(\"fill\",EV(Je).toHexString())}});var 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ZI=ye((Cur,bye)=>{\"use strict\";bye.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}});var YI=ye((Lur,Aye)=>{\"use strict\";var D1t=ka(),wye=pv().hasColorscale,Tye=td(),F1t=Pr().coercePattern;Aye.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=wye(t,\"marker\");s&&Tye(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",D1t.defaultLine),wye(t,\"marker.line\")&&Tye(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),F1t(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var i0=ye((Pur,Lye)=>{\"use strict\";var 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t.barmode;return}l!==\"overlay\"&&n(\"barnorm\"),n(\"bargap\",a&&!o?0:.2),n(\"bargroupgap\");var v=n(\"barcornerradius\");t.barcornerradius=X1t(v)}});var E4=ye((Rur,Iye)=>{\"use strict\";var RT=Pr();Iye.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;RT.mergeArray(r.text,t,\"tx\"),RT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){RT.mergeArray(i.opacity,t,\"mo\",!0),RT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(RT.mergeArray(a.color,t,\"mlc\"),RT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var Oye=ye((Dur,qye)=>{\"use strict\";var Rye=ho(),Dye=zg(),Fye=pv().hasColorscale,zye=gv(),Z1t=E4(),Y1t=q0();qye.exports=function(t,r){var n=Rye.getFromId(t,r.xaxis||\"x\"),i=Rye.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f={msUTC:!!(r.base||r.base===0)};r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\",f),s=i.makeCalcdata(r,\"y\"),l=Dye(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\",f),s=n.makeCalcdata(r,\"x\"),l=Dye(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var h=Math.min(o.length,a.length),d=new Array(h),v=0;v<h;v++)d[v]={p:o[v],s:a[v]},u&&(d[v].orig_p=s[v],d[v][c+\"End\"]=l.ends[v],d[v][c+\"Start\"]=l.starts[v]),r.ids&&(d[v].id=String(r.ids[v]));return Fye(r,\"marker\")&&zye(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),Fye(r,\"marker.line\")&&zye(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),Z1t(d,r),Y1t(d,r),d}});var bv=ye((Fur,Nye)=>{\"use strict\";var K1t=Fa(),J1t=Pr();function $1t(e,t,r){var n=e._fullLayout,i=n[\"_\"+r+\"Text_minsize\"];if(i){var a=n.uniformtext.mode===\"hide\",o;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":o=\"g.slice\";break;case\"treemap\":case\"icicle\":o=\"g.slice, g.pathbar\";break;default:o=\"g.points > g.point\"}t.selectAll(o).each(function(s){var l=s.transform;if(l){l.scale=a&&l.hide?0:i/l.fontSize;var u=K1t.select(this).select(\"text\");J1t.setTransormAndDisplay(u,l)}})}}function Q1t(e,t,r){if(r.uniformtext.mode){var n=Bye(e),i=r.uniformtext.minsize,a=t.scale*t.fontSize;t.hide=a<i,r[n]=r[n]||1/0,t.hide||(r[n]=Math.min(r[n],Math.max(a,i)))}}function e_t(e,t){var r=Bye(e);t[r]=void 0}function Bye(e){return\"_\"+e+\"Text_minsize\"}Nye.exports={recordMinTextSize:Q1t,clearMinTextSize:e_t,resizeText:$1t}});var JI=ye(v2=>{\"use strict\";var t_t=Eo(),r_t=fd(),Uye=Pr().isArrayOrTypedArray;v2.coerceString=function(e,t,r){if(typeof t==\"string\"){if(t||!e.noBlank)return t}else if((typeof t==\"number\"||t===!0)&&!e.strict)return String(t);return r!==void 0?r:e.dflt};v2.coerceNumber=function(e,t,r){if(t_t(t)){t=+t;var n=e.min,i=e.max,a=n!==void 0&&t<n||i!==void 0&&t>i;if(!a)return t}return r!==void 0?r:e.dflt};v2.coerceColor=function(e,t,r){return r_t(t).isValid()?t:r!==void 0?r:e.dflt};v2.coerceEnumerated=function(e,t,r){return e.coerceNumber&&(t=+t),e.values.indexOf(t)!==-1?t:r!==void 0?r:e.dflt};v2.getValue=function(e,t){var r;return Uye(e)?t<e.length&&(r=e[t]):r=e,r};v2.getLineWidth=function(e,t){var r=0<t.mlw?t.mlw:Uye(e.marker.line.width)?0:e.marker.line.width;return r}});var V0=ye((qur,$ye)=>{\"use strict\";var k4=Fa(),i_t=ka(),C4=So(),Vye=Pr(),Gye=Oa(),Hye=bv().resizeText,qV=qm(),n_t=qV.textfont,a_t=qV.insidetextfont,o_t=qV.outsidetextfont,ev=JI();function s_t(e){var t=k4.select(e).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");Hye(e,t,\"bar\");var r=t.size(),n=e._fullLayout;t.style(\"opacity\",function(i){return i[0].trace.opacity}).each(function(i){(n.barmode===\"stack\"&&r>1||n.bargap===0&&n.bargroupgap===0&&!i[0].trace.marker.line.width)&&k4.select(this).attr(\"shape-rendering\",\"crispEdges\")}),t.selectAll(\"g.points\").each(function(i){var a=k4.select(this),o=i[0].trace;jye(a,o,e)}),Gye.getComponentMethod(\"errorbars\",\"style\")(t)}function jye(e,t,r){C4.pointStyle(e.selectAll(\"path\"),t,r),Wye(e,t,r)}function Wye(e,t,r){e.selectAll(\"text\").each(function(n){var i=k4.select(this),a=Vye.ensureUniformFontSize(r,Xye(i,n,t,r));C4.font(i,a)})}function l_t(e,t,r){var n=t[0].trace;n.selectedpoints?u_t(r,n,e):(jye(r,n,e),Gye.getComponentMethod(\"errorbars\",\"style\")(r))}function u_t(e,t,r){C4.selectedPointStyle(e.selectAll(\"path\"),t),c_t(e.selectAll(\"text\"),t,r)}function c_t(e,t,r){e.each(function(n){var i=k4.select(this),a;if(n.selected){a=Vye.ensureUniformFontSize(r,Xye(i,n,t,r));var o=t.selected.textfont&&t.selected.textfont.color;o&&(a.color=o),C4.font(i,a)}else C4.selectedTextStyle(i,t)})}function Xye(e,t,r,n){var i=n._fullLayout.font,a=r.textfont;if(e.classed(\"bartext-inside\")){var o=Jye(t,r);a=Yye(r,t.i,i,o)}else e.classed(\"bartext-outside\")&&(a=Kye(r,t.i,i));return a}function Zye(e,t,r){return OV(n_t,e.textfont,t,r)}function Yye(e,t,r,n){var i=Zye(e,t,r),a=e._input.textfont===void 0||e._input.textfont.color===void 0||Array.isArray(e.textfont.color)&&e.textfont.color[t]===void 0;return a&&(i={color:i_t.contrast(n),family:i.family,size:i.size,weight:i.weight,style:i.style,variant:i.variant,textcase:i.textcase,lineposition:i.lineposition,shadow:i.shadow}),OV(a_t,e.insidetextfont,t,i)}function Kye(e,t,r){var n=Zye(e,t,r);return OV(o_t,e.outsidetextfont,t,n)}function OV(e,t,r,n){t=t||{};var i=ev.getValue(t.family,r),a=ev.getValue(t.size,r),o=ev.getValue(t.color,r),s=ev.getValue(t.weight,r),l=ev.getValue(t.style,r),u=ev.getValue(t.variant,r),c=ev.getValue(t.textcase,r),f=ev.getValue(t.lineposition,r),h=ev.getValue(t.shadow,r);return{family:ev.coerceString(e.family,i,n.family),size:ev.coerceNumber(e.size,a,n.size),color:ev.coerceColor(e.color,o,n.color),weight:ev.coerceString(e.weight,s,n.weight),style:ev.coerceString(e.style,l,n.style),variant:ev.coerceString(e.variant,u,n.variant),textcase:ev.coerceString(e.variant,c,n.textcase),lineposition:ev.coerceString(e.variant,f,n.lineposition),shadow:ev.coerceString(e.variant,h,n.shadow)}}function Jye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}$ye.exports={style:s_t,styleTextPoints:Wye,styleOnSelect:l_t,getInsideTextFont:Yye,getOutsideTextFont:Kye,getBarColor:Jye,resizeText:Hye}});var g2=ye((Our,o1e)=>{\"use strict\";var $I=Fa(),QI=Eo(),Fd=Pr(),f_t=Zl(),h_t=ka(),R_=So(),d_t=Oa(),e8=ho().tickText,Qye=bv(),v_t=Qye.recordMinTextSize,p_t=Qye.clearMinTextSize,BV=V0(),DT=JI(),g_t=S_(),e1e=qm(),m_t=e1e.text,y_t=e1e.textposition,__t=ip().appendArrayPointValue,Gv=g_t.TEXTPAD;function x_t(e){return e.id}function b_t(e){if(e.ids)return x_t}function NV(e){return(e>0)-(e<0)}function Om(e,t){return e<t?1:-1}function w_t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),n?[i,a]:[a,i]}function t1e(e,t,r,n){if(!t.uniformtext.mode&&r1e(r)){var i;return n&&(i=n()),e.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){i&&i()}).each(\"interrupt\",function(){i&&i()})}else return e}function r1e(e){return e&&e.duration>0}function T_t(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},p_t(\"bar\",l));var c=Fd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=$I.select(this),d=f[0].trace,v=f[0].t,m=d.type===\"waterfall\",b=d.type===\"funnel\",p=d.type===\"histogram\",k=d.type===\"bar\",M=k||b,T=0;m&&d.connector.visible&&d.connector.mode===\"between\"&&(T=d.connector.line.width/2);var L=d.orientation===\"h\",x=r1e(i),C=Fd.ensureSingle(h,\"g\",\"points\"),S=b_t(d),g=C.selectAll(\"g.point\").data(Fd.identity,S);g.enter().append(\"g\").classed(\"point\",!0),g.exit().remove(),g.each(function(E,z){var q=$I.select(this),V=w_t(E,o,s,L),G=V[0][0],Z=V[0][1],j=V[1][0],N=V[1][1],H=(L?Z-G:N-j)===0;H&&M&&DT.getLineWidth(d,E)&&(H=!1),H||(H=!QI(G)||!QI(Z)||!QI(j)||!QI(N)),E.isBlank=H,H&&(L?Z=G:N=j),T&&!H&&(L?(G-=Om(G,Z)*T,Z+=Om(G,Z)*T):(j-=Om(j,N)*T,N+=Om(j,N)*T));var re,ae;if(d.type===\"waterfall\"){if(!H){var _e=d[E.dir].marker;re=_e.line.width,ae=_e.color}}else re=DT.getLineWidth(d,E),ae=E.mc||d.marker.color;function Ee(Ae){var rt=$I.round(re/2%1,2);return i.gap===0&&i.groupgap===0?$I.round(Math.round(Ae)-rt,2):Ae}function Ce(Ae,rt,St){return St&&Ae===rt?Ae:Math.abs(Ae-rt)>=2?Ee(Ae):Ae>rt?Math.ceil(Ae):Math.floor(Ae)}var ge=h_t.opacity(ae),ie=ge<1||re>.01?Ee:Ce;e._context.staticPlot||(G=ie(G,Z,L),Z=ie(Z,G,L),j=ie(j,N,!L),N=ie(N,j,!L));var Se=L?o.c2p:s.c2p,ke;E.s0>0?ke=E._sMax:E.s0<0?ke=E._sMin:ke=E.s1>0?E._sMax:E._sMin;function be(Ae,rt){if(!Ae)return 0;var St=Math.abs(L?N-j:Z-G),Tt=Math.abs(L?Z-G:N-j),dt=ie(Math.abs(Se(ke,!0)-Se(0,!0))),Et=E.hasB?Math.min(St/2,Tt/2):Math.min(St/2,dt),pt;if(rt===\"%\"){var jt=Math.min(50,Ae);pt=St*(jt/100)}else pt=Ae;return ie(Math.max(Math.min(pt,Et),0))}var Be=k||p?be(v.cornerradiusvalue,v.cornerradiusform):0,Le,me,Pe=\"M\"+G+\",\"+j+\"V\"+N+\"H\"+Z+\"V\"+j+\"Z\",ce=0;if(Be&&E.s){var He=NV(E.s0)===0||NV(E.s)===NV(E.s0)?E.s1:E.s0;if(ce=ie(E.hasB?0:Math.abs(Se(ke,!0)-Se(He,!0))),ce<Be){var lt=Om(G,Z),mt=Om(j,N),Ht=lt===-mt?1:0;if(L)if(E.hasB)Le=\"M\"+(G+Be*lt)+\",\"+j+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" 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Vt=me<Be?Be-Math.sqrt(me*(2*Be-me)):0,rr=ce>0?Math.sqrt(ce*(2*Be-ce)):0,tt=mt>0?Math.max:Math.min;Le=\"M\"+(G+Vt*lt)+\",\"+j+\"V\"+tt(N-(Be-ce)*mt,j)+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" \"+(G+Be*lt-rr)+\",\"+N+\"H\"+(Z-Be*lt+rr)+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" \"+(Z-Vt*lt)+\",\"+tt(N-(Be-ce)*mt,j)+\"V\"+j+\"Z\"}}else Le=Pe}else Le=Pe;var je=t1e(Fd.ensureSingle(q,\"path\"),l,i,a);if(je.style(\"vector-effect\",u?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((Z-G)*(N-j))||H&&e._context.staticPlot?\"M0,0Z\":Le).call(R_.setClipUrl,t.layerClipId,e),!l.uniformtext.mode&&x){var Ue=R_.makePointStyleFns(d);R_.singlePointStyle(E,je,d,Ue,e)}A_t(e,t,q,f,z,G,Z,j,N,Be,ce,i,a),t.layerClipId&&R_.hideOutsideRangePoint(E,q.select(\"text\"),o,s,d.xcalendar,d.ycalendar)});var P=d.cliponaxis===!1;R_.setClipUrl(h,P?null:t.layerClipId,e)});d_t.getComponentMethod(\"errorbars\",\"plot\")(e,c,t,i)}function A_t(e,t,r,n,i,a,o,s,l,u,c,f,h){var d=t.xaxis,v=t.yaxis,m=e._fullLayout,b;function p(me,Pe,ce){var He=Fd.ensureSingle(me,\"text\").text(Pe).attr({class:\"bartext bartext-\"+b,\"text-anchor\":\"middle\",\"data-notex\":1}).call(R_.font,ce).call(f_t.convertToTspans,e);return He}var k=n[0].trace,M=k.orientation===\"h\",T=E_t(m,n,i,d,v);b=k_t(k,i);var L=f.mode===\"stack\"||f.mode===\"relative\",x=n[i],C=!L||x._outmost,S=x.hasB,g=u&&u-c>Gv;if(!T||b===\"none\"||(x.isBlank||a===o||s===l)&&(b===\"auto\"||b===\"inside\")){r.select(\"text\").remove();return}var P=m.font,E=BV.getBarColor(n[i],k),z=BV.getInsideTextFont(k,i,P,E),q=BV.getOutsideTextFont(k,i,P),V=k.insidetextanchor||\"end\",G=r.datum();M?d.type===\"log\"&&G.s0<=0&&(d.range[0]<d.range[1]?a=0:a=d._length):v.type===\"log\"&&G.s0<=0&&(v.range[0]<v.range[1]?s=v._length:s=0);var Z=Math.abs(o-a),j=Math.abs(l-s),N=Z-2*Gv,H=j-2*Gv,re,ae,_e,Ee,Ce;if(b===\"outside\"&&!C&&!x.hasB&&(b=\"inside\"),b===\"auto\")if(C){b=\"inside\",Ce=Fd.ensureUniformFontSize(e,z),re=p(r,T,Ce),ae=R_.bBox(re.node()),_e=ae.width,Ee=ae.height;var 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i(l){return H0.coerce(n._input,n,R4,l)}for(var a=0;a<e.length;a++){n=e[a];var o=n.type;if(o===\"box\"||o===\"violin\"){r=n._input;var s=t[o+\"mode\"];s===\"group\"&&H_t(r,n,t,i,s)}}}M1e.exports={supplyDefaults:j_t,crossTraceDefaults:W_t,handleSampleDefaults:A1e,handlePointsDefaults:S1e}});var t8=ye((Xur,k1e)=>{\"use strict\";var X_t=Oa(),Z_t=Pr(),Y_t=I4();function E1e(e,t,r,n,i){for(var a=i+\"Layout\",o=!1,s=0;s<r.length;s++){var l=r[s];if(X_t.traceIs(l,a)){o=!0;break}}o&&(n(i+\"mode\"),n(i+\"gap\"),n(i+\"groupgap\"))}function K_t(e,t,r){function n(i,a){return Z_t.coerce(e,t,Y_t,i,a)}E1e(e,t,r,n,\"box\")}k1e.exports={supplyLayoutDefaults:K_t,_supply:E1e}});var HV=ye((Zur,q1e)=>{\"use strict\";var GV=Eo(),r8=ho(),J_t=zg(),yh=Pr(),n0=fs().BADNUM,jy=yh._;q1e.exports=function(t,r){var n=t._fullLayout,i=r8.getFromId(t,r.xaxis||\"x\"),a=r8.getFromId(t,r.yaxis||\"y\"),o=[],s=r.type===\"violin\"?\"_numViolins\":\"_numBoxes\",l,u,c,f,h,d,v;r.orientation===\"h\"?(c=i,f=\"x\",h=a,d=\"y\",v=!!r.yperiodalignment):(c=a,f=\"y\",h=i,d=\"x\",v=!!r.xperiodalignment);var m=$_t(r,d,h,n[s]),b=m[0],p=m[1],k=yh.distinctVals(b,h),M=k.vals,T=k.minDiff/2,L,x,C,S,g,P,E=(r.boxpoints||r.points)===\"all\"?yh.identity:function(Ht){return Ht.v<L.lf||Ht.v>L.uf};if(r._hasPreCompStats){var z=r[f],q=function(Ht){return c.d2c((r[Ht]||[])[l])},V=1/0,G=-1/0;for(l=0;l<r._length;l++){var Z=b[l];if(GV(Z)){if(L={},L.pos=L[d]=Z,v&&p&&(L.orig_p=p[l]),L.q1=q(\"q1\"),L.med=q(\"median\"),L.q3=q(\"q3\"),x=[],z&&yh.isArrayOrTypedArray(z[l]))for(u=0;u<z[l].length;u++)P=c.d2c(z[l][u]),P!==n0&&(g={v:P,i:[l,u]},C1e(g,r,[l,u]),x.push(g));if(L.pts=x.sort(L1e),C=L[f]=x.map(P1e),S=C.length,L.med!==n0&&L.q1!==n0&&L.q3!==n0&&L.med>=L.q1&&L.q3>=L.med){var j=q(\"lowerfence\");L.lf=j!==n0&&j<=L.q1?j:I1e(L,C,S);var N=q(\"upperfence\");L.uf=N!==n0&&N>=L.q3?N:R1e(L,C,S);var H=q(\"mean\");L.mean=H!==n0?H:S?yh.mean(C,S):(L.q1+L.q3)/2;var re=q(\"sd\");L.sd=H!==n0&&re>=0?re:S?yh.stdev(C,S,L.mean):L.q3-L.q1,L.lo=D1e(L),L.uo=F1e(L);var ae=q(\"notchspan\");ae=ae!==n0&&ae>0?ae:z1e(L,S),L.ln=L.med-ae,L.un=L.med+ae;var _e=L.lf,Ee=L.uf;r.boxpoints&&C.length&&(_e=Math.min(_e,C[0]),Ee=Math.max(Ee,C[S-1])),r.notched&&(_e=Math.min(_e,L.ln),Ee=Math.max(Ee,L.un)),L.min=_e,L.max=Ee}else{yh.warn([\"Invalid input - make sure that q1 <= median <= q3\",\"q1 = \"+L.q1,\"median = \"+L.med,\"q3 = \"+L.q3].join(`\n",
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BT=ye((icr,o_e)=>{\"use strict\";var dxt=Tu(),{extendFlat:Pp}=Ao(),vxt=Vl(),{axisHoverFormat:JV}=vf(),pxt=ec(),{hovertemplateAttrs:gxt,templatefallbackAttrs:a_e,texttemplateAttrs:mxt}=Pl(),a0=pf();o_e.exports=Pp({z:{valType:\"data_array\",editType:\"calc\"},x:Pp({},a0.x,{impliedEdits:{xtype:\"array\"}}),x0:Pp({},a0.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:Pp({},a0.dx,{impliedEdits:{xtype:\"scaled\"}}),y:Pp({},a0.y,{impliedEdits:{ytype:\"array\"}}),y0:Pp({},a0.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:Pp({},a0.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:Pp({},a0.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:Pp({},a0.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:Pp({},a0.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:Pp({},a0.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:Pp({},a0.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:Pp({},a0.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:JV(\"x\"),yhoverformat:JV(\"y\"),zhoverformat:JV(\"z\",1),hovertemplate:gxt(),hovertemplatefallback:a_e(),texttemplate:mxt({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),texttemplatefallback:a_e({editType:\"plot\"}),textfont:pxt({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:Pp({},vxt.showlegend,{dflt:!1}),zorder:a0.zorder},dxt(\"\",{cLetter:\"z\",autoColorDflt:!1}))});var s8=ye((ncr,l_e)=>{\"use strict\";var yxt=Eo(),o8=Pr(),_xt=Oa();l_e.exports=function(t,r,n,i,a,o){var s=n(\"z\");a=a||\"x\",o=o||\"y\";var l,u;if(s===void 0||!s.length)return 0;if(o8.isArray1D(s)){l=n(a),u=n(o);var c=o8.minRowLength(l),f=o8.minRowLength(u);if(c===0||f===0)return 0;r._length=Math.min(c,f,s.length)}else{if(l=s_e(a,n),u=s_e(o,n),!xxt(s))return 0;n(\"transpose\"),r._length=null}var h=_xt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return h(t,r,[a,o],i),!0};function s_e(e,t){var r=t(e),n=r?t(e+\"type\",\"array\"):\"scaled\";return n===\"scaled\"&&(t(e+\"0\"),t(\"d\"+e)),r}function xxt(e){for(var t=!0,r=!1,n=!1,i,a=0;a<e.length;a++){if(i=e[a],!o8.isArrayOrTypedArray(i)){t=!1;break}i.length>0&&(r=!0);for(var o=0;o<i.length;o++)if(yxt(i[o])){n=!0;break}}return t&&r&&n}});var F4=ye((acr,c_e)=>{\"use strict\";var u_e=Pr();c_e.exports=function(t,r){t(\"texttemplate\"),t(\"texttemplatefallback\");var 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z8=Fa(),Ube=So(),x2t=b8(),b2t=FG();Vbe.exports=function(t){var r=z8.select(t).selectAll(\"g.contour\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=z8.select(this),a=n[0].trace,o=a.contours,s=a.line,l=o.size||1,u=o.start,c=o.type===\"constraint\",f=!c&&o.coloring===\"lines\",h=!c&&o.coloring===\"fill\",d=f||h?b2t(a):null;i.selectAll(\"g.contourlevel\").each(function(b){z8.select(this).selectAll(\"path\").call(Ube.lineGroupStyle,s.width,f?d(b.level):s.color,s.dash)});var v=o.labelfont;if(i.selectAll(\"g.contourlabels text\").each(function(b){Ube.font(z8.select(this),{weight:v.weight,style:v.style,variant:v.variant,textcase:v.textcase,lineposition:v.lineposition,shadow:v.shadow,family:v.family,size:v.size,color:v.color||(f?d(b.level):s.color)})}),c)i.selectAll(\"g.contourfill path\").style(\"fill\",a.fillcolor);else if(h){var m;i.selectAll(\"g.contourfill path\").style(\"fill\",function(b){return m===void 0&&(m=b.level),d(b.level+.5*l)}),m===void 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Xbe=ye((ffr,Wbe)=>{\"use strict\";Wbe.exports={attributes:bG(),supplyDefaults:dbe(),crossTraceDefaults:M8(),calc:MG(),plot:F8().plot,layerName:\"contourlayer\",style:q8(),colorbar:O8(),hoverPoints:zG(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:mh(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var Ybe=ye((hfr,Zbe)=>{\"use strict\";Zbe.exports=Xbe()});var qG=ye((dfr,t2e)=>{\"use strict\";var Kbe=Eo(),M2t=wG(),Qbe=ka(),Jbe=Qbe.addOpacity,E2t=Qbe.opacity,e2e=C8(),$be=Pr().isArrayOrTypedArray,k2t=e2e.CONSTRAINT_REDUCTION,C2t=e2e.COMPARISON_OPS2;t2e.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=k2t[f],L2t(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",Jbe((t.line||{}).color||a,.5))),l){var h=c&&E2t(c)?Jbe(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),M2t(n,i,u,o)};function L2t(e,t){var 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g2e=ye((yfr,p2e)=>{\"use strict\";var d2e=Pr(),V2t=Pm(),XT=Ru(),G2t=$p(),H2t=D0(),v2e=fT(),j2t=F0(),W2t=Fg(),X2t=BG();p2e.exports=function(t,r,n,i){function a(h,d){return d2e.coerce(t,r,X2t,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\"));var c=u<V2t.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),XT.hasMarkers(r)&&G2t(t,r,n,i,a,{gradient:!0}),XT.hasLines(r)&&(H2t(t,r,n,i,a,{backoff:!0}),v2e(t,r,a),a(\"connectgaps\")),XT.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),j2t(t,r,i,a));var f=[];(XT.hasMarkers(r)||XT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(W2t(t,r,n,a),XT.hasLines(r)||v2e(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),d2e.coerceSelectionMarkerOpacity(r,a)}});var y2e=ye((_fr,m2e)=>{\"use strict\";var NG=ho();m2e.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=NG.tickText(a.aaxis,t.a,!0).text,i.bLabel=NG.tickText(a.baxis,t.b,!0).text,i.cLabel=NG.tickText(a.caxis,t.c,!0).text,i}});var w2e=ye((xfr,b2e)=>{\"use strict\";var UG=Eo(),Z2t=z0(),Y2t=Dm(),K2t=q0(),J2t=O0().calcMarkerSize,_2e=[\"a\",\"b\",\"c\"],x2e={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};b2e.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<_2e.length;l++)if(c=_2e[l],!o[c]){for(h=o[x2e[c][0]],d=o[x2e[c][1]],f=new 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o.x0=Math.max(Math.min(o.x0,c),u),o.x1=Math.max(Math.min(o.x1,c),u),a}var f=o.cd[o.index],h=o.trace,d=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var v={};v[h.subplot]={_subplot:d};var m=h._module.formatLabels(f,h,v);o.aLabel=m.aLabel,o.bLabel=m.bLabel,o.cLabel=m.cLabel;var b=f.hi||h.hoverinfo,p=[];function k(T,L){p.push(T._hovertitle+\": \"+L)}if(!h.hovertemplate){var M=b.split(\"+\");M.indexOf(\"all\")!==-1&&(M=[\"a\",\"b\",\"c\"]),M.indexOf(\"a\")!==-1&&k(d.aaxis,o.aLabel),M.indexOf(\"b\")!==-1&&k(d.baxis,o.bLabel),M.indexOf(\"c\")!==-1&&k(d.caxis,o.cLabel)}return o.extraText=p.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}});var k2e=ye((Tfr,E2e)=>{\"use strict\";E2e.exports=function(t,r,n,i,a){if(r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),i[a]){var o=i[a];t.a=o.a,t.b=o.b,t.c=o.c}else t.a=r.a,t.b=r.b,t.c=r.c;return t}});var B2e=ye((Afr,O2e)=>{\"use strict\";var D2e=Fa(),ewt=fd(),VG=Oa(),Xy=Pr(),Vm=Xy.strTranslate,N8=Xy._,YT=ka(),U8=So(),X4=xm(),GG=Ao().extendFlat,twt=Mc(),q_=ho(),C2e=yv(),L2e=ef(),F2e=Cg(),P2e=F2e.freeMode,rwt=F2e.rectMode,HG=qb(),iwt=qf().prepSelect,nwt=qf().selectOnClick,awt=qf().clearOutline,owt=qf().clearSelectionsCache,z2e=Rh();function q2e(e,t){this.id=e.id,this.graphDiv=e.graphDiv,this.init(t),this.makeFramework(t),this.updateFx(t),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}O2e.exports=q2e;var Gm=q2e.prototype;Gm.init=function(e){this.container=e._ternarylayer,this.defs=e._defs,this.layoutId=e._uid,this.traceHash={},this.layers={}};Gm.plot=function(e,t){var r=this,n=t[r.id],i=t._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){r._hasClipOnAxisFalse=!0;break}}r.updateLayers(n),r.adjustLayout(n,i),twt.generalUpdatePerTraceModule(r.graphDiv,r,e,n),r.layers.plotbg.select(\"path\").call(YT.fill,n.bgcolor)};Gm.makeFramework=function(e){var t=this,r=t.graphDiv,n=e[t.id],i=t.clipId=\"clip\"+t.layoutId+t.id,a=t.clipIdRelative=\"clip-relative\"+t.layoutId+t.id;t.clipDef=Xy.ensureSingleById(e._clips,\"clipPath\",i,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.clipDefRelative=Xy.ensureSingleById(e._clips,\"clipPath\",a,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.plotContainer=Xy.ensureSingle(t.container,\"g\",t.id),t.updateLayers(n),U8.setClipUrl(t.layers.backplot,i,r),U8.setClipUrl(t.layers.grids,i,r)};Gm.updateFx=function(e){e._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",e.dragmode===\"pan\"?\"move\":\"crosshair\")};Gm.updateLayers=function(e){var t=this,r=t.layers,n=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];e.aaxis.layer===\"below traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"below traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"below traces\"&&n.push(\"caxis\",\"cline\"),n.push(\"frontplot\"),e.aaxis.layer===\"above 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r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,m,b,p,k,M;l>ZT*u?(p=u,b=p*ZT):(b=l,p=b/ZT),k=o*b/l,M=s*p/u,v=t.l+t.w*i-b/2,m=t.t+t.h*(1-a)-p/2,r.x0=v,r.y0=m,r.w=b,r.h=p,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-k/2,i+k/2],_id:\"x\"},X4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-M/2,a+M/2],_id:\"y\"},X4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var T=r.yaxis.domain[0],L=r.aaxis=GG({},e.aaxis,{range:[f,c-h-d],side:\"left\",tickangle:(+e.aaxis.tickangle||0)-30,domain:[T,T+M*ZT],anchor:\"free\",position:0,_id:\"y\",_length:b});X4(L,r.graphDiv._fullLayout),L.setScale();var x=r.baxis=GG({},e.baxis,{range:[c-f-d,h],side:\"bottom\",domain:r.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:b});X4(x,r.graphDiv._fullLayout),x.setScale();var C=r.caxis=GG({},e.caxis,{range:[c-f-h,d],side:\"right\",tickangle:(+e.caxis.tickangle||0)+30,domain:[T,T+M*ZT],anchor:\"free\",position:0,_id:\"y\",_length:b});X4(C,r.graphDiv._fullLayout),C.setScale();var S=\"M\"+v+\",\"+(m+p)+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDef.select(\"path\").attr(\"d\",S),r.layers.plotbg.select(\"path\").attr(\"d\",S);var g=\"M0,\"+p+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDefRelative.select(\"path\").attr(\"d\",g);var P=Vm(v,m);r.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),r.clipDefRelative.select(\"path\").attr(\"transform\",null);var E=Vm(v-x._offset,m+p);r.layers.baxis.attr(\"transform\",E),r.layers.bgrid.attr(\"transform\",E);var z=Vm(v+b/2,m)+\"rotate(30)\"+Vm(0,-L._offset);r.layers.aaxis.attr(\"transform\",z),r.layers.agrid.attr(\"transform\",z);var q=Vm(v+b/2,m)+\"rotate(-30)\"+Vm(0,-C._offset);r.layers.caxis.attr(\"transform\",q),r.layers.cgrid.attr(\"transform\",q),r.drawAxes(!0),r.layers.aline.select(\"path\").attr(\"d\",L.showline?\"M\"+v+\",\"+(m+p)+\"l\"+b/2+\",-\"+p:\"M0,0\").call(YT.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),r.layers.bline.select(\"path\").attr(\"d\",x.showline?\"M\"+v+\",\"+(m+p)+\"h\"+b:\"M0,0\").call(YT.stroke,x.linecolor||\"#000\").style(\"stroke-width\",(x.linewidth||0)+\"px\"),r.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(v+b/2)+\",\"+m+\"l\"+b/2+\",\"+p:\"M0,0\").call(YT.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),r.graphDiv._context.staticPlot||r.initInteractions(),U8.setClipUrl(r.layers.frontplot,r._hasClipOnAxisFalse?null:r.clipId,r.graphDiv)};Gm.drawAxes=function(e){var t=this,r=t.graphDiv,n=t.id.slice(7)+\"title\",i=t.layers,a=t.aaxis,o=t.baxis,s=t.caxis;if(t.drawAx(a),t.drawAx(o),t.drawAx(s),e){var 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c=t.aaxis,f=t.baxis,h=t.caxis;c.min+f.min+h.min>=a&&(c.min=0,f.min=0,h.min=0,e.aaxis&&delete e.aaxis.min,e.baxis&&delete e.baxis.min,e.caxis&&delete e.caxis.min)}function Ewt(e,t,r,n){var i=G2e[t._name];function a(d,v){return G8.coerce(e,t,i,d,v)}a(\"uirevision\",n.uirevision),t.type=\"linear\";var o=a(\"color\"),s=o!==i.color.dflt?o:r.font.color,l=t._name,u=l.charAt(0).toUpperCase(),c=\"Component \"+u,f=a(\"title.text\",c);t._hovertitle=f===c?f:u,G8.coerceFont(a,\"title.font\",r.font,{overrideDflt:{size:G8.bigFont(r.font.size),color:s}}),a(\"min\"),Awt(e,t,a,\"linear\"),wwt(e,t,a,\"linear\"),bwt(e,t,a,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),Twt(e,t,a,{outerTicks:!0});var h=a(\"showticklabels\");h&&(G8.coerceFont(a,\"tickfont\",r.font,{overrideDflt:{color:s}}),a(\"tickangle\"),a(\"tickformat\")),Swt(e,t,a,{dfltColor:o,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),a(\"hoverformat\"),a(\"layer\")}});var W2e=ye(Z0=>{\"use strict\";var kwt=B2e(),Cwt=Id().getSubplotCalcData,Lwt=Pr().counterRegex,KT=\"ternary\";Z0.name=KT;var Pwt=Z0.attr=\"subplot\";Z0.idRoot=KT;Z0.idRegex=Z0.attrRegex=Lwt(KT);var Iwt=Z0.attributes={};Iwt[Pwt]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};Z0.layoutAttributes=XG();Z0.supplyLayoutDefaults=j2e();Z0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[KT],a=0;a<i.length;a++){var o=i[a],s=Cwt(n,KT,o),l=r[o]._subplot;l||(l=new kwt({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};Z0.clean=function(e,t,r,n){for(var i=n._subplots[KT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};Z0.updateFx=function(e){var 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Oh=P4(),JT=Ao().extendFlat,J2e=vf().axisHoverFormat;$2e.exports={y:Oh.y,x:Oh.x,x0:Oh.x0,y0:Oh.y0,xhoverformat:J2e(\"x\"),yhoverformat:J2e(\"y\"),name:JT({},Oh.name,{}),orientation:JT({},Oh.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:Oh.fillcolor,points:JT({},Oh.boxpoints,{}),jitter:JT({},Oh.jitter,{}),pointpos:JT({},Oh.pointpos,{}),width:JT({},Oh.width,{}),marker:Oh.marker,text:Oh.text,hovertext:Oh.hovertext,hovertemplate:Oh.hovertemplate,hovertemplatefallback:Oh.hovertemplatefallback,quartilemethod:Oh.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:Oh.offsetgroup,alignmentgroup:Oh.alignmentgroup,selected:Oh.selected,unselected:Oh.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:Oh.zorder}});var JG=ye((Ifr,Q2e)=>{\"use strict\";var YG=I4(),KG=Pr().extendFlat;Q2e.exports={violinmode:KG({},YG.boxmode,{}),violingap:KG({},YG.boxgap,{}),violingroupgap:KG({},YG.boxgroupgap,{})}});var nwe=ye((Rfr,iwe)=>{\"use strict\";var ewe=Pr(),Rwt=ka(),twe=D4(),rwe=ZG();iwe.exports=function(t,r,n,i){function a(L,x){return ewe.coerce(t,r,rwe,L,x)}function o(L,x){return ewe.coerce2(t,r,rwe,L,x)}if(twe.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",Rwt.addOpacity(r.line.color,.5));twe.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),m=o(\"box.line.color\",c),b=o(\"box.line.width\",f),p=a(\"box.visible\",!!(d||v||m||b));p||(r.box={visible:!1});var 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uwe=ye((zfr,lwe)=>{\"use strict\";var $G=Pr(),QG=ho(),Bwt=HV(),swe=H8(),Nwt=fs().BADNUM;lwe.exports=function(t,r){var n=Bwt(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=QG.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(swe.extractVal),d=f.bandwidth=Vwt(r,f,h),v=f.span=Gwt(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var m=v[1]-v[0],b=Math.ceil(m/(d/3)),p=m/b;if(!isFinite(p)||!isFinite(b))return $G.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var k=swe.makeKDE(f,r,h);f.density=new Array(b+1);for(var M=0;M<f.density.length;M++){var T=v[0]+M*p,L=k(T);f.density[M]={v:L,t:T},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var x=QG.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=x,r.width)n[0].t.maxKDE=l;else{var 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bwe=ye((Nfr,xwe)=>{\"use strict\";var Ywt=ka(),iH=Pr(),Kwt=ho(),ywe=YV(),_we=H8();xwe.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var m=ywe.hoverOnBoxes(t,r,n,i);if(f&&m.length>0){var b=t.xa,p=t.ya,k,M,T,L,x;l.orientation===\"h\"?(x=r,k=\"y\",T=p,M=\"x\",L=b):(x=n,k=\"x\",T=b,M=\"y\",L=p);var C=s[t.index];if(x>=C.span[0]&&x<=C.span[1]){var S=iH.extendFlat({},t),g=L.c2p(x,!0),P=_we.getKdeValue(C,l,x),E=_we.getPositionOnKdePath(C,l,g),z=T._offset,q=T._length;S[k+\"0\"]=E[0],S[k+\"1\"]=E[1],S[M+\"0\"]=S[M+\"1\"]=g,S[M+\"Label\"]=M+\": \"+Kwt.hoverLabelText(L,x,l[M+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,G=0;G<m.length;G++)if(m[G].attr===\"med\"){V=G;break}S.spikeDistance=m[V].spikeDistance;var Z=k+\"Spike\";S[Z]=m[V][Z],m[V].spikeDistance=void 0,m[V][Z]=void 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s=W8.select(this),l=o[0].trace,u=N_.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible||!l.connector.line.width){u.remove();return}var c=l.orientation===\"h\",f=u.selectAll(\"g.line\").data(N_.identity);f.enter().append(\"g\").classed(\"line\",!0),f.exit().remove();var h=f.size();f.each(function(d,v){if(!(v!==h-1&&!d.cNext)){var m=Xwe(d,i,a,c),b=m[0],p=m[1],k=\"\";b[3]!==void 0&&p[3]!==void 0&&(c?(k+=\"M\"+b[0]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[2],k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[3]+\",\"+p[2]):(k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[3],k+=\"M\"+b[1]+\",\"+p[0]+\"L\"+b[2]+\",\"+p[2])),k===\"\"&&(k=\"M0,0Z\"),N_.ensureSingle(W8.select(this),\"path\").attr(\"d\",k).call(Wwe.setClipUrl,t.layerClipId,e)}})})}function Xwe(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),i[3]=o.c2p(e.nextS1,!0),a[3]=s.c2p(e.nextP1,!0),n?[i,a]:[a,i]}});var $we=ye(($fr,Jwe)=>{\"use strict\";var Y4=Fa(),Kwe=So(),cH=ka(),m3t=Z1().DESELECTDIM,y3t=V0(),_3t=bv().resizeText,x3t=y3t.styleTextPoints;function b3t(e,t,r){var n=r||Y4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");_3t(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=Y4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;Y4.select(this).call(cH.fill,s.mc||l.color).call(cH.stroke,s.mlc||l.line.color).call(Kwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?m3t:1)}}),x3t(a,o,e),a.selectAll(\".regions\").each(function(){Y4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(cH.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;Kwe.lineGroupStyle(Y4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}Jwe.exports={style:b3t}});var t3e=ye((Qfr,e3e)=>{\"use 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_c=qm(),hH=pf().line,A3t=Vl(),c3e=vf().axisHoverFormat,{hovertemplateAttrs:S3t,texttemplateAttrs:M3t,templatefallbackAttrs:f3e}=Pl(),h3e=u3e(),eA=Ao().extendFlat,E3t=ka();function dH(e){return{marker:{color:eA({},_c.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:eA({},_c.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:eA({},_c.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}d3e.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:_c.x,x0:_c.x0,dx:_c.dx,y:_c.y,y0:_c.y0,dy:_c.dy,xperiod:_c.xperiod,yperiod:_c.yperiod,xperiod0:_c.xperiod0,yperiod0:_c.yperiod0,xperiodalignment:_c.xperiodalignment,yperiodalignment:_c.yperiodalignment,xhoverformat:c3e(\"x\"),yhoverformat:c3e(\"y\"),hovertext:_c.hovertext,hovertemplate:S3t({},{keys:h3e.eventDataKeys}),hovertemplatefallback:f3e(),hoverinfo:eA({},A3t.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:M3t({editType:\"plot\"},{keys:h3e.eventDataKeys.concat([\"label\"])}),texttemplatefallback:f3e({editType:\"plot\"}),text:_c.text,textposition:_c.textposition,insidetextanchor:_c.insidetextanchor,textangle:_c.textangle,textfont:_c.textfont,insidetextfont:_c.insidetextfont,outsidetextfont:_c.outsidetextfont,constraintext:_c.constraintext,cliponaxis:_c.cliponaxis,orientation:_c.orientation,offset:_c.offset,width:_c.width,increasing:dH(\"increasing\"),decreasing:dH(\"decreasing\"),totals:dH(\"intermediate 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g3e=Pr(),k3t=i2(),C3t=i0().handleText,L3t=cT(),P3t=Dg(),m3e=vH(),I3t=ka(),y3e=tA(),R3t=y3e.INCREASING.COLOR,D3t=y3e.DECREASING.COLOR,F3t=\"#4499FF\";function gH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",I3t.defaultLine),e(t+\".marker.line.width\")}function z3t(e,t,r,n){function i(u,c){return g3e.coerce(e,t,m3e,u,c)}var a=L3t(e,t,n,i);if(!a){t.visible=!1;return}P3t(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\");var o=i(\"textposition\");C3t(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),i(\"texttemplatefallback\"),t.texttemplate||i(\"textinfo\")),gH(i,\"increasing\",R3t),gH(i,\"decreasing\",D3t),gH(i,\"totals\",F3t);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var l=i(\"connector.line.width\");l&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function q3t(e,t){var r,n;function i(o){return g3e.coerce(n._input,n,m3e,o)}if(t.waterfallmode===\"group\")for(var a=0;a<e.length;a++)n=e[a],r=n._input,k3t(r,n,t,i,t.waterfallmode)}_3e.exports={supplyDefaults:z3t,crossTraceDefaults:q3t}});var b3e=ye((lhr,x3e)=>{\"use strict\";var O3t=Pr(),B3t=pH();x3e.exports=function(e,t,r){var n=!1;function i(s,l){return O3t.coerce(e,t,B3t,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"waterfall\"){n=!0;break}}n&&(i(\"waterfallmode\"),i(\"waterfallgap\",.2),i(\"waterfallgroupgap\"))}});var E3e=ye((uhr,M3e)=>{\"use strict\";var w3e=ho(),T3e=zg(),A3e=Pr().mergeArray,N3t=q0(),S3e=fs().BADNUM;function yH(e){return e===\"a\"||e===\"absolute\"}function _H(e){return e===\"t\"||e===\"total\"}M3e.exports=function(t,r){var n=w3e.getFromId(t,r.xaxis||\"x\"),i=w3e.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=T3e(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=T3e(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var f=Math.min(o.length,a.length),h=new Array(f),d=0,v,m=!1,b=0;b<f;b++){var p=a[b]||0,k=!1;(a[b]!==S3e||_H(r.measure[b])||yH(r.measure[b]))&&b+1<f&&(a[b+1]!==S3e||_H(r.measure[b+1])||yH(r.measure[b+1]))&&(k=!0);var M=h[b]={i:b,p:o[b],s:p,rawS:p,cNext:k};yH(r.measure[b])?(d=M.s,M.isSum=!0,M.dir=\"totals\",M.s=d):_H(r.measure[b])?(M.isSum=!0,M.dir=\"totals\",M.s=d):(M.isSum=!1,M.dir=M.rawS<0?\"decreasing\":\"increasing\",v=M.s,M.s=d+v,d+=v),M.dir===\"totals\"&&(m=!0),u&&(h[b].orig_p=s[b],h[b][c+\"End\"]=l.ends[b],h[b][c+\"Start\"]=l.starts[b]),r.ids&&(M.id=String(r.ids[b])),M.v=(r.base||0)+d}return h.length&&(h[0].hasTotals=m),A3e(r.text,h,\"tx\"),A3e(r.hovertext,h,\"htx\"),N3t(h,r),h}});var L3e=ye((chr,C3e)=>{\"use strict\";var k3e=n2().setGroupPositions;C3e.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h];d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"waterfall\"&&(f=a[h],d.orientation===\"h\"?c.push(f):u.push(f),l.push(f))}var v={mode:n.waterfallmode,norm:n.waterfallnorm,gap:n.waterfallgap,groupgap:n.waterfallgroupgap};for(k3e(t,o,s,u,v),k3e(t,s,o,c,v),h=0;h<l.length;h++){f=l[h];for(var m=0;m<f.length;m++){var b=f[m];b.isSum===!1&&(b.s0+=m===0?0:f[m-1].s),m+1<f.length&&(f[m].nextP0=f[m+1].p0,f[m].nextS0=f[m+1].s0)}}}});var R3e=ye((fhr,I3e)=>{\"use strict\";var P3e=Fa(),X8=Pr(),U3t=So(),rA=fs().BADNUM,V3t=g2(),G3t=bv().clearMinTextSize;I3e.exports=function(t,r,n,i){var a=t._fullLayout;G3t(\"waterfall\",a),V3t.plot(t,r,n,i,{mode:a.waterfallmode,norm:a.waterfallmode,gap:a.waterfallgap,groupgap:a.waterfallgroupgap}),H3t(t,r,n,i)};function H3t(e,t,r,n){var i=t.xaxis,a=t.yaxis;X8.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=P3e.select(this),l=o[0].trace,u=X8.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible){u.remove();return}var c=l.orientation===\"h\",f=l.connector.mode,h=u.selectAll(\"g.line\").data(X8.identity);h.enter().append(\"g\").classed(\"line\",!0),h.exit().remove();var d=h.size();h.each(function(v,m){if(!(m!==d-1&&!v.cNext)){var b=j3t(v,i,a,c),p=b[0],k=b[1],M=\"\";p[0]!==rA&&k[0]!==rA&&p[1]!==rA&&k[1]!==rA&&(f===\"spanning\"&&!v.isSum&&m>0&&(c?M+=\"M\"+p[0]+\",\"+k[1]+\"V\"+k[0]:M+=\"M\"+p[1]+\",\"+k[0]+\"H\"+p[0]),f!==\"between\"&&(v.isSum||m<d-1)&&(c?M+=\"M\"+p[1]+\",\"+k[0]+\"V\"+k[1]:M+=\"M\"+p[0]+\",\"+k[1]+\"H\"+p[1]),p[2]!==rA&&k[2]!==rA&&(c?M+=\"M\"+p[1]+\",\"+k[1]+\"V\"+k[2]:M+=\"M\"+p[1]+\",\"+k[1]+\"H\"+p[2])),M===\"\"&&(M=\"M0,0Z\"),X8.ensureSingle(P3e.select(this),\"path\").attr(\"d\",M).call(U3t.setClipUrl,t.layerClipId,e)}})})}function j3t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),n?[i,a]:[a,i]}});var q3e=ye((hhr,z3e)=>{\"use strict\";var Z8=Fa(),D3e=So(),F3e=ka(),W3t=Z1().DESELECTDIM,X3t=V0(),Z3t=bv().resizeText,Y3t=X3t.styleTextPoints;function K3t(e,t,r){var 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t=e._readableState;nu(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Nj(e)}function Oj(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(WMt,e,t))}function WMt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(nu(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}Bu.prototype._read=function(e){dE(this,new NMt(\"_read()\"))};Bu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,nu(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:m;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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r=vE.prototype.on.call(this,e,t),n=this._readableState;return e===\"data\"?(n.readableListening=this.listenerCount(\"readable\")>0,n.flowing!==!1&&this.resume()):e===\"readable\"&&!n.endEmitted&&!n.readableListening&&(n.readableListening=n.needReadable=!0,n.flowing=!1,n.emittedReadable=!1,nu(\"on readable\",n.length,n.reading),n.length?OR(this):n.reading||process.nextTick(ZMt,this)),r};Bu.prototype.addListener=Bu.prototype.on;Bu.prototype.removeListener=function(e,t){var r=vE.prototype.removeListener.call(this,e,t);return e===\"readable\"&&process.nextTick(PSe,this),r};Bu.prototype.removeAllListeners=function(e){var t=vE.prototype.removeAllListeners.apply(this,arguments);return(e===\"readable\"||e===void 0)&&process.nextTick(PSe,this),t};function PSe(e){var t=e._readableState;t.readableListening=e.listenerCount(\"readable\")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount(\"data\")>0&&e.resume()}function ZMt(e){nu(\"readable nexttick read 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this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}});Bu._fromList=ISe;Object.defineProperty(Bu.prototype,\"readableLength\",{enumerable:!1,get:function(){return this._readableState.length}});function ISe(e,t){if(t.length===0)return null;var r;return t.objectMode?r=t.buffer.shift():!e||e>=t.length?(t.decoder?r=t.buffer.join(\"\"):t.buffer.length===1?r=t.buffer.first():r=t.buffer.concat(t.length),t.buffer.clear()):r=t.buffer.consume(e,t.decoder),r}function qj(e){var t=e._readableState;nu(\"endReadable\",t.endEmitted),t.endEmitted||(t.ended=!0,process.nextTick(JMt,t,e))}function JMt(e,t){if(nu(\"endReadableNT\",e.endEmitted,e.length),!e.endEmitted&&e.length===0&&(e.endEmitted=!0,t.readable=!1,t.emit(\"end\"),e.autoDestroy)){var r=t._writableState;(!r||r.autoDestroy&&r.finished)&&t.destroy()}}typeof Symbol==\"function\"&&(Bu.from=function(e,t){return Dj===void 0&&(Dj=ASe()),Dj(Bu,e,t)});function RSe(e,t){for(var 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+       "`)+'Actual message: \"'.concat(t&&t.message,'\"'),stackStartFn:e})}throw t}}Ef.throws=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];D4e.apply(void 0,[e,I4e(t)].concat(n))};Ef.rejects=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];return R4e(t).then(function(a){return D4e.apply(void 0,[e,a].concat(n))})};Ef.doesNotThrow=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];F4e.apply(void 0,[e,I4e(t)].concat(n))};Ef.doesNotReject=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];return R4e(t).then(function(a){return F4e.apply(void 0,[e,a].concat(n))})};Ef.ifError=function e(t){if(t!=null){var r=\"ifError got unwanted exception: \";Zg(t)===\"object\"&&typeof t.message==\"string\"?t.message.length===0&&t.constructor?r+=t.constructor.name:r+=t.message:r+=oD(t);var n=new J_({actual:t,expected:null,operator:\"ifError\",message:r,stackStartFn:e}),i=t.stack;if(typeof i==\"string\"){var a=i.split(`\n",
+       "`);a.shift();for(var o=n.stack.split(`\n",
+       "`),s=0;s<a.length;s++){var l=o.indexOf(a[s]);if(l!==-1){o=o.slice(0,l);break}}n.stack=\"\".concat(o.join(`\n",
+       "`),`\n",
+       "`).concat(a.join(`\n",
+       "`))}throw n}};function z4e(e,t,r,n,i){if(!sD(t))throw new EA(\"regexp\",\"RegExp\",t);var a=i===\"match\";if(typeof e!=\"string\"||lD(t,e)!==a){if(r instanceof Error)throw r;var o=!r;r=r||(typeof e!=\"string\"?'The \"string\" argument must be of type string. Received type '+\"\".concat(Zg(e),\" (\").concat(oD(e),\")\"):(a?\"The input did not match the regular expression \":\"The input was expected to not match the regular expression \")+\"\".concat(oD(t),`. Input:\n",
+       "\n",
+       "`).concat(oD(e),`\n",
+       "`));var s=new J_({actual:e,expected:t,message:r,operator:i,stackStartFn:n});throw s.generatedMessage=o,s}}Ef.match=function e(t,r,n){z4e(t,r,n,e,\"match\")};Ef.doesNotMatch=function e(t,r,n){z4e(t,r,n,e,\"doesNotMatch\")};function q4e(){for(var e=arguments.length,t=new Array(e),r=0;r<e;r++)t[r]=arguments[r];C4e.apply(void 0,[q4e,t.length].concat(t))}Ef.strict=ukt(q4e,Ef,{equal:Ef.strictEqual,deepEqual:Ef.deepStrictEqual,notEqual:Ef.notStrictEqual,notDeepEqual:Ef.notDeepStrictEqual});Ef.strict.strict=Ef.strict});var N4e=ye((nvr,B4e)=>{var IE=1e3,RE=IE*60,DE=RE*60,FE=DE*24,fkt=FE*365.25;B4e.exports=function(e,t){t=t||{};var r=typeof e;if(r===\"string\"&&e.length>0)return hkt(e);if(r===\"number\"&&isNaN(e)===!1)return t.long?vkt(e):dkt(e);throw new Error(\"val is not a non-empty string or a valid number. val=\"+JSON.stringify(e))};function hkt(e){if(e=String(e),!(e.length>100)){var t=/^((?:\\d+)?\\.?\\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(e);if(t){var r=parseFloat(t[1]),n=(t[2]||\"ms\").toLowerCase();switch(n){case\"years\":case\"year\":case\"yrs\":case\"yr\":case\"y\":return r*fkt;case\"days\":case\"day\":case\"d\":return r*FE;case\"hours\":case\"hour\":case\"hrs\":case\"hr\":case\"h\":return r*DE;case\"minutes\":case\"minute\":case\"mins\":case\"min\":case\"m\":return r*RE;case\"seconds\":case\"second\":case\"secs\":case\"sec\":case\"s\":return r*IE;case\"milliseconds\":case\"millisecond\":case\"msecs\":case\"msec\":case\"ms\":return r;default:return}}}}function dkt(e){return e>=FE?Math.round(e/FE)+\"d\":e>=DE?Math.round(e/DE)+\"h\":e>=RE?Math.round(e/RE)+\"m\":e>=IE?Math.round(e/IE)+\"s\":e+\"ms\"}function vkt(e){return fD(e,FE,\"day\")||fD(e,DE,\"hour\")||fD(e,RE,\"minute\")||fD(e,IE,\"second\")||e+\" ms\"}function fD(e,t,r){if(!(e<t))return e<t*1.5?Math.floor(e/t)+\" \"+r:Math.ceil(e/t)+\" \"+r+\"s\"}});var V4e=ye((Lc,U4e)=>{Lc=U4e.exports=pW.debug=pW.default=pW;Lc.coerce=_kt;Lc.disable=mkt;Lc.enable=gkt;Lc.enabled=ykt;Lc.humanize=N4e();Lc.names=[];Lc.skips=[];Lc.formatters={};var vW;function pkt(e){var t=0,r;for(r in e)t=(t<<5)-t+e.charCodeAt(r),t|=0;return Lc.colors[Math.abs(t)%Lc.colors.length]}function pW(e){function t(){if(t.enabled){var r=t,n=+new Date,i=n-(vW||n);r.diff=i,r.prev=vW,r.curr=n,vW=n;for(var a=new Array(arguments.length),o=0;o<a.length;o++)a[o]=arguments[o];a[0]=Lc.coerce(a[0]),typeof a[0]!=\"string\"&&a.unshift(\"%O\");var s=0;a[0]=a[0].replace(/%([a-zA-Z%])/g,function(u,c){if(u===\"%%\")return u;s++;var f=Lc.formatters[c];if(typeof f==\"function\"){var h=a[s];u=f.call(r,h),a.splice(s,1),s--}return u}),Lc.formatArgs.call(r,a);var l=t.log||Lc.log||console.log.bind(console);l.apply(r,a)}}return t.namespace=e,t.enabled=Lc.enabled(e),t.useColors=Lc.useColors(),t.color=pkt(e),typeof Lc.init==\"function\"&&Lc.init(t),t}function gkt(e){Lc.save(e),Lc.names=[],Lc.skips=[];for(var t=(typeof e==\"string\"?e:\"\").split(/[\\s,]+/),r=t.length,n=0;n<r;n++)t[n]&&(e=t[n].replace(/\\*/g,\".*?\"),e[0]===\"-\"?Lc.skips.push(new RegExp(\"^\"+e.substr(1)+\"$\")):Lc.names.push(new RegExp(\"^\"+e+\"$\")))}function mkt(){Lc.enable(\"\")}function ykt(e){var t,r;for(t=0,r=Lc.skips.length;t<r;t++)if(Lc.skips[t].test(e))return!1;for(t=0,r=Lc.names.length;t<r;t++)if(Lc.names[t].test(e))return!0;return!1}function _kt(e){return e instanceof Error?e.stack||e.message:e}});var j4e=ye((up,H4e)=>{up=H4e.exports=V4e();up.log=wkt;up.formatArgs=bkt;up.save=Tkt;up.load=G4e;up.useColors=xkt;up.storage=typeof chrome!=\"undefined\"&&typeof chrome.storage!=\"undefined\"?chrome.storage.local:Akt();up.colors=[\"lightseagreen\",\"forestgreen\",\"goldenrod\",\"dodgerblue\",\"darkorchid\",\"crimson\"];function xkt(){return typeof window!=\"undefined\"&&window.process&&window.process.type===\"renderer\"?!0:typeof document!=\"undefined\"&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||typeof window!=\"undefined\"&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\\/(\\d+)/)&&parseInt(RegExp.$1,10)>=31||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\\/(\\d+)/)}up.formatters.j=function(e){try{return JSON.stringify(e)}catch(t){return\"[UnexpectedJSONParseError]: \"+t.message}};function bkt(e){var t=this.useColors;if(e[0]=(t?\"%c\":\"\")+this.namespace+(t?\" %c\":\" \")+e[0]+(t?\"%c \":\" \")+\"+\"+up.humanize(this.diff),!!t){var r=\"color: \"+this.color;e.splice(1,0,r,\"color: inherit\");var n=0,i=0;e[0].replace(/%[a-zA-Z%]/g,function(a){a!==\"%%\"&&(n++,a===\"%c\"&&(i=n))}),e.splice(i,0,r)}}function wkt(){return typeof console==\"object\"&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function Tkt(e){try{e==null?up.storage.removeItem(\"debug\"):up.storage.debug=e}catch(t){}}function G4e(){var e;try{e=up.storage.debug}catch(t){}return!e&&typeof process!=\"undefined\"&&\"env\"in process&&(e=process.env.DEBUG),e}up.enable(G4e());function Akt(){try{return window.localStorage}catch(e){}}});var Q4e=ye((avr,$4e)=>{var kA=_E(),$_=j4e()(\"stream-parser\");$4e.exports=Mkt;var X4e=-1,hD=0,Skt=1,Z4e=2;function Mkt(e){var t=e&&typeof e._transform==\"function\",r=e&&typeof e._write==\"function\";if(!t&&!r)throw new Error(\"must pass a Writable or Transform stream in\");$_(\"extending Parser into stream\"),e._bytes=Ekt,e._skipBytes=kkt,t&&(e._passthrough=Ckt),t?e._transform=Pkt:e._write=Lkt}function zE(e){$_(\"initializing parser stream\"),e._parserBytesLeft=0,e._parserBuffers=[],e._parserBuffered=0,e._parserState=X4e,e._parserCallback=null,typeof e.push==\"function\"&&(e._parserOutput=e.push.bind(e)),e._parserInit=!0}function Ekt(e,t){kA(!this._parserCallback,'there is already a \"callback\" set!'),kA(isFinite(e)&&e>0,'can only buffer a finite number of bytes > 0, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"buffering %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=hD}function kkt(e,t){kA(!this._parserCallback,'there is already a \"callback\" set!'),kA(e>0,'can only skip > 0 bytes, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"skipping %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=Skt}function Ckt(e,t){kA(!this._parserCallback,'There is already a \"callback\" set!'),kA(e>0,'can only pass through > 0 bytes, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"passing through %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=Z4e}function Lkt(e,t,r){this._parserInit||zE(this),$_(\"write(%o bytes)\",e.length),typeof t==\"function\"&&(r=t),K4e(this,e,null,r)}function Pkt(e,t,r){this._parserInit||zE(this),$_(\"transform(%o bytes)\",e.length),typeof t!=\"function\"&&(t=this._parserOutput),K4e(this,e,t,r)}function Y4e(e,t,r,n){return e._parserBytesLeft<=0?n(new Error(\"got data but not currently parsing anything\")):t.length<=e._parserBytesLeft?function(){return W4e(e,t,r,n)}:function(){var i=t.slice(0,e._parserBytesLeft);return W4e(e,i,r,function(a){if(a)return n(a);if(t.length>i.length)return function(){return Y4e(e,t.slice(i.length),r,n)}})}}function W4e(e,t,r,n){if(e._parserBytesLeft-=t.length,$_(\"%o bytes left for stream piece\",e._parserBytesLeft),e._parserState===hD?(e._parserBuffers.push(t),e._parserBuffered+=t.length):e._parserState===Z4e&&r(t),e._parserBytesLeft===0){var i=e._parserCallback;if(i&&e._parserState===hD&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==hD&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=X4e,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(J4e(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var K4e=J4e(Y4e);function J4e(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var rc=ye($y=>{\"use strict\";var eEe=WSe().Transform,Ikt=Q4e();function qE(){eEe.call(this,{readableObjectMode:!0})}qE.prototype=Object.create(eEe.prototype);qE.prototype.constructor=qE;Ikt(qE.prototype);$y.ParserStream=qE;$y.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};$y.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else for(;n<e.length;n++)r.push(e.charCodeAt(n)&255);return r};$y.readUInt16LE=function(e,t){return e[t]|e[t+1]<<8};$y.readUInt16BE=function(e,t){return e[t+1]|e[t]<<8};$y.readUInt32LE=function(e,t){return e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]*16777216};$y.readUInt32BE=function(e,t){return e[t+3]|e[t+2]<<8|e[t+1]<<16|e[t]*16777216};function dD(e,t,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=new Error().stack||\"\",this.name=this.constructor.name,this.message=e,t&&(this.code=t),r&&(this.statusCode=r)}dD.prototype=Object.create(Error.prototype);dD.prototype.constructor=dD;$y.ProbeError=dD});var tEe=ye((svr,vD)=>{\"use strict\";var CA=rc().readUInt16BE,mW=rc().readUInt32BE;function OE(e,t){if(e.length<4+t)return null;var r=mW(e,t);return e.length<r+t||r<8?null:{boxtype:String.fromCharCode.apply(null,e.slice(t+4,t+8)),data:e.slice(t+8,t+r),end:t+r}}vD.exports.unbox=OE;function Rkt(e,t){for(var r=0;;){var n=OE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:mW(n.data,4),height:mW(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function gW(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function Dkt(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=CA(e,6),o=8,s=0;s<a;s++){var l=CA(e,o);o+=2;var u=CA(e,o);o+=2;var c=gW(e,o,i);o+=i;var f=CA(e,o);if(o+=2,u===0&&f===1){var h=gW(e,o,r),d=gW(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function Fkt(e,t){for(var r=CA(e,4),n=6,i=0;i<r;i++){var a=OE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=CA(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function zkt(e,t){for(var r=0;;){var n=OE(e,r);if(!n)break;n.boxtype===\"ipco\"&&Rkt(n.data,t),r=n.end}}function qkt(e,t){for(var r=4;;){var n=OE(e,r);if(!n)break;n.boxtype===\"iprp\"&&zkt(n.data,t),n.boxtype===\"iloc\"&&Dkt(n.data,t),n.boxtype===\"iinf\"&&Fkt(n.data,t),r=n.end}}function Okt(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}vD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(qkt(e,t),!!t.sizes.length){var r=Okt(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};vD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var gD=ye((lvr,yW)=>{\"use strict\";function pD(e,t){var r=new Error(e);return r.code=t,r}function Bkt(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function Qy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw pD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}Qy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};Qy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw pD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};Qy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw pD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};Qy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};Qy.prototype.exif_format_length=function(e){switch(e){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}};Qy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};Qy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw pD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var m=this.exif_format_read(o,d);if(m===null){h=null;break}h.push(m)}Array.isArray(h)&&o===2&&(h=Bkt(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};yW.exports.ExifParser=Qy;yW.exports.get_orientation=function(e){var t=0;try{return new Qy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var iEe=ye((uvr,rEe)=>{\"use strict\";var Nkt=rc().str2arr,Ukt=rc().sliceEq,Vkt=rc().readUInt32BE,mD=tEe(),Gkt=gD(),Hkt=Nkt(\"ftyp\");rEe.exports=function(e){if(Ukt(e,4,Hkt)){var t=mD.unbox(e,0);if(t){var r=mD.getMimeType(t.data);if(r){for(var n,i=t.end;;){var a=mD.unbox(e,i);if(!a)break;if(i=a.end,a.boxtype===\"mdat\")return;if(a.boxtype===\"meta\"){n=a.data;break}}if(n){var o=mD.readSizeFromMeta(n);if(o){var s={width:o.width,height:o.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(o.variants.length>1&&(s.variants=o.variants),o.orientation&&(s.orientation=o.orientation),o.exif_location&&o.exif_location.offset+o.exif_location.length<=e.length){var l=Vkt(e,o.exif_location.offset),u=e.slice(o.exif_location.offset+l+4,o.exif_location.offset+o.exif_location.length),c=Gkt.get_orientation(u);c>0&&(s.orientation=c)}return s}}}}}}});var oEe=ye((cvr,aEe)=>{\"use strict\";var jkt=rc().str2arr,Wkt=rc().sliceEq,nEe=rc().readUInt16LE,Xkt=jkt(\"BM\");aEe.exports=function(e){if(!(e.length<26)&&Wkt(e,0,Xkt))return{width:nEe(e,18),height:nEe(e,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}});var fEe=ye((fvr,cEe)=>{\"use strict\";var uEe=rc().str2arr,sEe=rc().sliceEq,lEe=rc().readUInt16LE,Zkt=uEe(\"GIF87a\"),Ykt=uEe(\"GIF89a\");cEe.exports=function(e){if(!(e.length<10)&&!(!sEe(e,0,Zkt)&&!sEe(e,0,Ykt)))return{width:lEe(e,6),height:lEe(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var vEe=ye((hvr,dEe)=>{\"use strict\";var _W=rc().readUInt16LE,Kkt=0,Jkt=1,hEe=16;dEe.exports=function(e){var t=_W(e,0),r=_W(e,2),n=_W(e,4);if(!(t!==Kkt||r!==Jkt||!n)){for(var i=[],a={width:0,height:0},o=0;o<n;o++){var s=e[6+hEe*o]||256,l=e[6+hEe*o+1]||256,u={width:s,height:l};i.push(u),(s>a.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var gEe=ye((dvr,pEe)=>{\"use strict\";var xW=rc().readUInt16BE,$kt=rc().str2arr,Qkt=rc().sliceEq,eCt=gD(),tCt=$kt(\"Exif\\0\\0\");pEe.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var 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i.width?LA(a)?{width:a,height:a/f,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(i.width),hUnits:Zm(i.width)}:void 0:i.height?LA(o)?{width:o*f,height:o,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(i.height),hUnits:Zm(i.height)}:void 0:{width:u,height:c,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(l.width),hUnits:Zm(l.height)}}}}}});var IEe=ye((mvr,PEe)=>{\"use strict\";var LEe=rc().str2arr,kEe=rc().sliceEq,pCt=rc().readUInt16LE,gCt=rc().readUInt16BE,mCt=rc().readUInt32LE,yCt=rc().readUInt32BE,_Ct=LEe(\"II*\\0\"),xCt=LEe(\"MM\\0*\");function yD(e,t,r){return r?gCt(e,t):pCt(e,t)}function bW(e,t,r){return r?yCt(e,t):mCt(e,t)}function CEe(e,t,r){var n=yD(e,t+2,r),i=bW(e,t+4,r);return i!==1||n!==3&&n!==4?null:n===3?yD(e,t+8,r):bW(e,t+8,r)}PEe.exports=function(e){if(!(e.length<8)&&!(!kEe(e,0,_Ct)&&!kEe(e,0,xCt))){var t=e[0]===77,r=bW(e,4,t)-8;if(!(r<0)){var n=r+8;if(!(e.length-n<2)){var i=yD(e,n+0,t)*12;if(!(i<=0)&&(n+=2,!(e.length-n<i))){var 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t=12,r=null,n=0,i=wW(e,4)+8;if(!(i>e.length)){for(;t+8<i;){if(e[t]===0){t++;continue}var a=String.fromCharCode.apply(null,e.slice(t,t+4)),o=wW(e,t+4);a===\"VP8 \"&&o>=10?r=r||ACt(e,t+8):a===\"VP8L\"&&o>=9?r=r||SCt(e,t+8):a===\"VP8X\"&&o>=10?r=r||MCt(e,t+8):a===\"EXIF\"&&(n=bCt.get_orientation(e.slice(t+8,t+8+o)),t=1/0),t+=8+o}if(r)return n>0&&(r.orientation=n),r}}}});var BEe=ye((_vr,OEe)=>{\"use strict\";OEe.exports={avif:iEe(),bmp:oEe(),gif:fEe(),ico:vEe(),jpeg:gEe(),png:bEe(),psd:AEe(),svg:EEe(),tiff:IEe(),webp:qEe()}});var NEe=ye((xvr,AW)=>{\"use strict\";var TW=BEe();function ECt(e){for(var t=Object.keys(TW),r=0;r<t.length;r++){var n=TW[t[r]](e);if(n)return n}return null}AW.exports=function(t){return ECt(t)};AW.exports.parsers=TW});var VEe=ye(UEe=>{\"use strict\";var kCt=NEe(),CCt=Oy().IMAGE_URL_PREFIX,LCt=w2().Buffer;UEe.getImageSize=function(e){var t=e.replace(CCt,\"\"),r=new LCt(t,\"base64\");return kCt(r)}});var jEe=ye((wvr,HEe)=>{\"use strict\";var 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bD=Vl(),jCt=Cc().attributes,WCt=ec(),XCt=Ih(),{hovertemplateAttrs:ZCt,texttemplateAttrs:YCt,templatefallbackAttrs:ske}=Pl(),Q_=Ao().extendFlat,KCt=Pd().pattern,wD=WCt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});lke.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:XCt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:KCt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:Q_({},bD.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:ZCt({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),hovertemplatefallback:ske(),texttemplate:YCt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplatefallback:ske({editType:\"plot\"}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:Q_({},wD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:Q_({},wD,{}),outsidetextfont:Q_({},wD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:Q_({},bD.showlegend,{arrayOk:!0}),legend:Q_({},bD.legend,{arrayOk:!0}),legendrank:Q_({},bD.legendrank,{arrayOk:!0}),title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:Q_({},wD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:jCt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var O2=ye((Lvr,fke)=>{\"use strict\";var JCt=Eo(),BE=Pr(),$Ct=q2(),QCt=Cc().defaults,e6t=i0().handleText,t6t=Pr().coercePattern;function uke(e,t){var r=BE.isArrayOrTypedArray(e),n=BE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o<i;o++){var s=t[o];if(JCt(s)&&s>0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function cke(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");t6t(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function r6t(e,t,r,n){function i(k,M){return BE.coerce(e,t,$Ct,k,M)}var a=i(\"labels\"),o=i(\"values\"),s=uke(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,cke(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\");i(\"texttemplatefallback\");var f;if(c||(f=i(\"textinfo\",BE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\"),c||f&&f!==\"none\"){var h=i(\"textposition\");e6t(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");QCt(t,n,i);var m=i(\"hole\"),b=i(\"title.text\");if(b){var p=i(\"title.position\",m?\"middle center\":\"top center\");!m&&p===\"middle center\"&&(t.title.position=\"top center\"),BE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}fke.exports={handleLabelsAndValues:uke,handleMarkerDefaults:cke,supplyDefaults:r6t}});var TD=ye((Pvr,hke)=>{\"use strict\";hke.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var vke=ye((Ivr,dke)=>{\"use 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x.v-L.v}),r[0]&&(r[0].vTotal=v),r}function pke(e){return function(r,n){return!r||(r=SW(r),!r.isValid())?!1:(r=o6t.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function u6t(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=gke(a,s6t));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function gke(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(SW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(SW(e[r]).darken(20).toHexString());t[n]=i}return i}mke.exports={calc:l6t,crossTraceCalc:u6t,makePullColorFn:pke,generateExtendedColors:gke}});var _ke=ye((Dvr,yke)=>{\"use strict\";var c6t=ip().appendArrayMultiPointValues;yke.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),c6t(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var ED=ye((Fvr,Nke)=>{\"use strict\";var Fp=Fa(),f6t=Mc(),AD=ef(),Ske=ka(),e1=So(),iv=Pr(),h6t=iv.strScale,xke=iv.strTranslate,MW=Zl(),Mke=bv(),d6t=Mke.recordMinTextSize,v6t=Mke.clearMinTextSize,Eke=S_().TEXTPAD,ns=m_(),SD=_ke(),bke=Pr().isValidTextValue;function p6t(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;v6t(\"pie\",n),Lke(t,e),qke(t,i);var a=iv.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=Fp.select(this),l=o[0],u=l.trace;A6t(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=Fp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(T,L){if(T.hidden){Fp.select(this).selectAll(\"path,g\").remove();return}T.pointNumber=T.i,T.curveNumber=u.index,f[T.pxmid[1]<0?0:1][T.pxmid[0]<0?0:1].push(T);var x=l.cx,C=l.cy,S=Fp.select(this),g=S.selectAll(\"path.surface\").data([T]);if(g.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),S.call(kke,e,o),u.pull){var P=+ns.castOption(u.pull,T.pts)||0;P>0&&(x+=P*T.pxmid[0],C+=P*T.pxmid[1])}T.cxFinal=x,T.cyFinal=C;function E(N,H,re,ae){var _e=ae*(H[0]-N[0]),Ee=ae*(H[1]-N[1]);return\"a\"+ae*l.r+\",\"+ae*l.r+\" 0 \"+T.largeArc+(re?\" 1 \":\" 0 \")+_e+\",\"+Ee}var z=u.hole;if(T.v===l.vTotal){var q=\"M\"+(x+T.px0[0])+\",\"+(C+T.px0[1])+E(T.px0,T.pxmid,!0,1)+E(T.pxmid,T.px0,!0,1)+\"Z\";z?g.attr(\"d\",\"M\"+(x+z*T.px0[0])+\",\"+(C+z*T.px0[1])+E(T.px0,T.pxmid,!1,z)+E(T.pxmid,T.px0,!1,z)+\"Z\"+q):g.attr(\"d\",q)}else{var V=E(T.px0,T.px1,!0,1);if(z){var G=1-z;g.attr(\"d\",\"M\"+(x+z*T.px1[0])+\",\"+(C+z*T.px1[1])+E(T.px1,T.px0,!1,z)+\"l\"+G*T.px0[0]+\",\"+G*T.px0[1]+V+\"Z\")}else g.attr(\"d\",\"M\"+x+\",\"+C+\"l\"+T.px0[0]+\",\"+T.px0[1]+V+\"Z\")}Oke(e,T,l);var Z=ns.castOption(u.textposition,T.pts),j=S.selectAll(\"g.slicetext\").data(T.text&&Z!==\"none\"?[0]:[]);j.enter().append(\"g\").classed(\"slicetext\",!0),j.exit().remove(),j.each(function(){var N=iv.ensureSingle(Fp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),H=iv.ensureUniformFontSize(e,Z===\"outside\"?m6t(u,T,n.font):Cke(u,T,n.font));N.text(T.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(e1.font,H).call(MW.convertToTspans,e);var re=e1.bBox(N.node()),ae;if(Z===\"outside\")ae=Ake(re,T);else if(ae=Pke(re,T,l),Z===\"auto\"&&ae.scale<1){var _e=iv.ensureUniformFontSize(e,u.outsidetextfont);N.call(e1.font,_e),re=e1.bBox(N.node()),ae=Ake(re,T)}var Ee=ae.textPosAngle,Ce=Ee===void 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v=e1.bBox(s.node()),m=u.domain,b=i.w*(m.x[1]-m.x[0]),p=i.h*(m.y[1]-m.y[0]),k=(.5*b-l.r)/i.w,M=(.5*p-l.r)/i.h;f6t.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:m.x[0]-k,xr:m.x[1]+k,yb:m.y[0]-M,yt:m.y[1]+M,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=Fp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function g6t(e,t){e.each(function(r){var n=Fp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,iv.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;iv.ensureSingle(n,\"path\",\"textline\").call(Ske.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function kke(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=AD.castHoverinfo({hoverinfo:[ns.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),m=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=ns.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var p=l.text;iv.isValidTextValue(p)&&b.push(p)}l.value=l.v,l.valueLabel=ns.formatPieValue(l.v,m),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=ns.formatPiePercent(l.percent,m),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var k=c.hoverlabel,M=k.font,T=[];AD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:ns.castOption(k.bgcolor,l.pts)||l.color,borderColor:ns.castOption(k.bordercolor,l.pts),fontFamily:ns.castOption(M.family,l.pts),fontSize:ns.castOption(M.size,l.pts),fontColor:ns.castOption(M.color,l.pts),nameLength:ns.castOption(k.namelength,l.pts),textAlign:ns.castOption(k.align,l.pts),hovertemplate:ns.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[SD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:T}),l.bbox=T[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[SD(l,c)],event:Fp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=Fp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=Fp.event,t.emit(\"plotly_unhover\",{points:[SD(f,c)],event:Fp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(AD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[SD(l,c)],AD.click(t,Fp.event))})}function m6t(e,t,r){var n=ns.castOption(e.outsidetextfont.color,t.pts)||ns.castOption(e.textfont.color,t.pts)||r.color,i=ns.castOption(e.outsidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.outsidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.outsidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.outsidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.outsidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.outsidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.outsidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.outsidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function Cke(e,t,r){var n=ns.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=ns.castOption(e._input.textfont.color,t.pts));var i=ns.castOption(e.insidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.insidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.insidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.insidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.insidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.insidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.insidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.insidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n||Ske.contrast(t.color),family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function Lke(e,t){for(var r,n,i=0;i<e.length;i++)if(r=e[i][0],n=r.trace,n.title.text){var a=n.title.text;n._meta&&(a=iv.templateString(a,n._meta));var o=e1.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(e1.font,n.title.font).call(MW.convertToTspans,t),s=e1.bBox(o.node(),!0);r.titleBox={width:s.width,height:s.height},o.remove()}}function Pke(e,t,r){var n=r.r||t.rpx1,i=t.rInscribed,a=t.startangle===t.stopangle;if(a)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var o=t.ring,s=o===1&&Math.abs(t.startangle-t.stopangle)===Math.PI*2,l=t.halfangle,u=t.midangle,c=r.trace.insidetextorientation,f=c===\"horizontal\",h=c===\"tangential\",d=c===\"radial\",v=c===\"auto\",m=[],b;if(!v){var p=function(S,g){if(y6t(t,S)){var 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s=o.split(\"+\"),l=function(T){return s.indexOf(T)!==-1},u=l(\"label\"),c=l(\"text\"),f=l(\"value\"),h=l(\"percent\"),d=n.separators,v;if(v=u?[t.label]:[],c){var m=ns.getFirstFilled(i.text,t.pts);bke(m)&&v.push(m)}f&&v.push(ns.formatPieValue(t.v,d)),h&&v.push(ns.formatPiePercent(t.v/r.vTotal,d)),t.text=v.join(\"<br>\")}function b(T){return{label:T.label,value:T.v,valueLabel:ns.formatPieValue(T.v,n.separators),percent:T.v/r.vTotal,percentLabel:ns.formatPiePercent(T.v/r.vTotal,n.separators),color:T.color,text:T.text,customdata:iv.castOption(i,T.i,\"customdata\")}}if(a){var p=iv.castOption(i,t.i,\"texttemplate\");if(!p)t.text=\"\";else{var k=b(t),M=ns.getFirstFilled(i.text,t.pts);(bke(M)||M===\"\")&&(k.text=M),t.text=iv.texttemplateString({data:[k,i._meta],fallback:i.texttemplatefallback,labels:k,locale:e._fullLayout._d3locale,template:p})}}}function Bke(e,t){var r=e.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(t.left+t.right)/2,o=(t.top+t.bottom)/2;e.textX=a*n-o*i,e.textY=a*i+o*n,e.noCenter=!0}Nke.exports={plot:p6t,formatSliceLabel:Oke,transformInsideText:Pke,determineInsideTextFont:Cke,positionTitleOutside:Fke,prerenderTitles:Lke,layoutAreas:qke,attachFxHandlers:kke,computeTransform:Bke}});var Gke=ye((zvr,Vke)=>{\"use strict\";var Uke=Fa(),S6t=J3(),M6t=bv().resizeText;Vke.exports=function(t){var r=t._fullLayout._pielayer.selectAll(\".trace\");M6t(t,r,\"pie\"),r.each(function(n){var i=n[0],a=i.trace,o=Uke.select(this);o.style({opacity:a.opacity}),o.selectAll(\"path.surface\").each(function(s){Uke.select(this).call(S6t,s,a,t)})})}});var jke=ye(IA=>{\"use strict\";var Hke=Mc();IA.name=\"pie\";IA.plot=function(e,t,r,n){Hke.plotBasePlot(IA.name,e,t,r,n)};IA.clean=function(e,t,r,n){Hke.cleanBasePlot(IA.name,e,t,r,n)}});var Xke=ye((Ovr,Wke)=>{\"use 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E6t=Vl(),{hovertemplateAttrs:k6t,texttemplateAttrs:C6t,templatefallbackAttrs:Qke}=Pl(),L6t=Tu(),P6t=Cc().attributes,t1=q2(),eCe=kW(),NE=Ao().extendFlat,I6t=Pd().pattern;tCe.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:NE({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:NE({},t1.marker.line.color,{dflt:null}),width:NE({},t1.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:I6t,editType:\"calc\"},L6t(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:t1.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],extras:[\"none\"],editType:\"plot\"},texttemplate:C6t({editType:\"plot\"},{keys:eCe.eventDataKeys.concat([\"label\",\"value\"])}),texttemplatefallback:Qke({editType:\"plot\"}),hovertext:t1.hovertext,hoverinfo:NE({},E6t.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"name\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],dflt:\"label+text+value+name\"}),hovertemplate:k6t({},{keys:eCe.eventDataKeys}),hovertemplatefallback:Qke(),textfont:t1.textfont,insidetextorientation:t1.insidetextorientation,insidetextfont:t1.insidetextfont,outsidetextfont:NE({},t1.outsidetextfont,{}),rotation:{valType:\"angle\",dflt:0,editType:\"plot\"},sort:t1.sort,root:{color:{valType:\"color\",editType:\"calc\",dflt:\"rgba(0,0,0,0)\"},editType:\"calc\"},domain:P6t({name:\"sunburst\",trace:!0,editType:\"calc\"})}});var CW=ye((Gvr,rCe)=>{\"use 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ie=rk.select(this),Se=Av.ensureSingle(ie,\"path\",\"surface\",function(Pe){Pe.style(\"pointer-events\",i?\"none\":\"all\")});ge.rpx0=q(ge.y0),ge.rpx1=q(ge.y1),ge.xmid=(ge.x0+ge.x1)/2,ge.pxmid=V(ge.rpx1,ge.xmid),ge.midangle=-(ge.xmid-Math.PI/2),ge.startangle=-(ge.x0-Math.PI/2),ge.stopangle=-(ge.x1-Math.PI/2),ge.halfangle=.5*Math.min(Av.angleDelta(ge.x0,ge.x1)||Math.PI,Math.PI),ge.ring=1-ge.rpx0/ge.rpx1,ge.rInscribed=OLt(ge,c),o?Se.transition().attrTween(\"d\",function(Pe){var ce=_e(Pe);return function(He){return G(ce(He))}}):Se.attr(\"d\",G),ie.call(zLt,h,e,t,{eventDataKeys:QW.eventDataKeys,transitionTime:QW.CLICK_TRANSITION_TIME,transitionEasing:QW.CLICK_TRANSITION_EASING}).call(Il.setSliceCursor,e,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:e._transitioning}),Se.call(DLt,ge,c,e);var ke=Av.ensureSingle(ie,\"g\",\"slicetext\"),be=Av.ensureSingle(ke,\"text\",\"\",function(Pe){Pe.attr(\"data-notex\",1)}),Be=Av.ensureUniformFontSize(e,Il.determineTextFont(c,ge,a.font));be.text(YD.formatSliceLabel(ge,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(P6e.font,Be).call(CLt.convertToTspans,e);var Le=P6e.bBox(be.node());ge.transform=RLt(Le,ge,u),ge.transform.targetX=Z(ge),ge.transform.targetY=j(ge);var me=function(Pe,ce){var He=Pe.transform;return ILt(He,ce),He.fontSize=Be.size,I6e(c.type,He,a),Av.getTextTransform(He)};o?be.transition().attrTween(\"transform\",function(Pe){var ce=Ee(Pe);return function(He){return me(ce(He),Le)}}):be.attr(\"transform\",me(ge,Le))});function ae(ge){var ie=Il.getPtId(ge),Se=x[ie],ke=x[Il.getPtId(h)],be;if(ke){var Be=(ge.x1>ke.x1?2*Math.PI:0)+E;be=ge.rpx1<ke.rpx1?{x0:ge.x0,x1:ge.x1,rpx0:0,rpx1:0}:{x0:Be,x1:Be,rpx0:ge.rpx0,rpx1:ge.rpx1}}else{var Le,me=Il.getPtId(ge.parent);l.each(function(mt){if(Il.getPtId(mt)===me)return Le=mt});var Pe=Le.children,ce;Pe.forEach(function(mt,Ht){if(Il.getPtId(mt)===ie)return ce=Ht});var He=Pe.length,lt=Jg(Le.x0,Le.x1);be={rpx0:k,rpx1:k,x0:lt(ce/He),x1:lt((ce+1)/He)}}return Jg(Se,be)}function _e(ge){var ie=x[Il.getPtId(ge)],Se,ke={x0:ge.x0,x1:ge.x1,rpx0:ge.rpx0,rpx1:ge.rpx1};if(ie)Se=ie;else if(L)if(ge.parent)if(N){var be=(ge.x1>N?2*Math.PI:0)+E;Se={x0:be,x1:be}}else Se={rpx0:k,rpx1:k},Av.extendFlat(Se,Ce(ge));else Se={rpx0:0,rpx1:0};else Se={x0:E,x1:E};return Jg(Se,ke)}function Ee(ge){var ie=x[Il.getPtId(ge)],Se,ke=ge.transform;if(ie)Se=ie;else if(Se={rpx1:ge.rpx1,transform:{textPosAngle:ke.textPosAngle,scale:0,rotate:ke.rotate,rCenter:ke.rCenter,x:ke.x,y:ke.y}},L)if(ge.parent)if(N){var be=ge.x1>N?2*Math.PI:0;Se.x0=Se.x1=be}else Av.extendFlat(Se,Ce(ge));else Se.x0=Se.x1=E;else Se.x0=Se.x1=E;var 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C={};u.label&&(C.label=u.label),u.hasOwnProperty(\"v\")&&(C.value=u.v,C.valueLabel=Il.formatValue(u.v,s)),C.currentPath=Il.getPath(e.data),f||(C.percentParent=d/Il.getValue(h),C.percentParentLabel=Il.formatPercent(C.percentParent,s),C.parent=Il.getPtLabel(h)),C.percentEntry=d/Il.getValue(t),C.percentEntryLabel=Il.formatPercent(C.percentEntry,s),C.entry=Il.getPtLabel(t),C.percentRoot=d/Il.getValue(c),C.percentRootLabel=Il.formatPercent(C.percentRoot,s),C.root=Il.getPtLabel(c),u.hasOwnProperty(\"color\")&&(C.color=u.color);var S=Av.castOption(r,u.i,\"text\");return(Av.isValidTextValue(S)||S===\"\")&&(C.text=S),C.customdata=Av.castOption(r,u.i,\"customdata\"),Av.texttemplateString({data:[C,r._meta],fallback:r.texttemplatefallback,labels:C,locale:i._d3locale,template:x})};function OLt(e){return e.rpx0===0&&Av.isFullCircle([e.x0,e.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(e.halfangle)),e.ring/2))}function D6e(e){return BLt(e.rpx1,e.transform.textPosAngle)}function 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),a(\"texttemplatefallback\"),r.texttemplate||a(\"textinfo\",Z6e.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var f=a(\"pathbar.visible\"),h=\"auto\";ZLt(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;KLt(t,r,i,a);var v=r._hasColorscale=JLt(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?$Lt(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var m=r.textfont.size*2;a(\"marker.pad.t\",d?m/4:m),a(\"marker.pad.l\",m/4),a(\"marker.pad.r\",m/4),a(\"marker.pad.b\",d?m:m/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:WLt.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*YLt),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),XLt(r,i,a),r._length=null}});var Q6e=ye((X0r,$6e)=>{\"use strict\";var QLt=Pr(),ePt=tX();$6e.exports=function(t,r){function n(i,a){return QLt.coerce(t,r,ePt,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var iX=ye(rX=>{\"use strict\";var eLe=HE();rX.calc=function(e,t){return eLe.calc(e,t)};rX.crossTraceCalc=function(e){return eLe._runCrossTraceCalc(\"treemap\",e)}});var nX=ye((Y0r,tLe)=>{\"use strict\";tLe.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var a=t.children;if(a)for(var o=0;o<a.length;o++)e(a[o],r,n)}});var aX=ye((K0r,rLe)=>{\"use strict\";var HA=VE(),tPt=nX();rLe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.packing===\"dice-slice\",s=n.pad[a?\"bottom\":\"top\"],l=n.pad[i?\"right\":\"left\"],u=n.pad[i?\"left\":\"right\"],c=n.pad[a?\"top\":\"bottom\"],f;o&&(f=l,l=s,s=f,f=u,u=c,c=f);var h=HA.treemap().tile(rPt(n.packing,n.squarifyratio)).paddingInner(n.pad.inner).paddingLeft(l).paddingRight(u).paddingTop(s).paddingBottom(c).size(o?[r[1],r[0]]:r)(t);return(o||i||a)&&tPt(h,r,{swapXY:o,flipX:i,flipY:a}),h};function rPt(e,t){switch(e){case\"squarify\":return HA.treemapSquarify.ratio(t);case\"binary\":return HA.treemapBinary;case\"dice\":return HA.treemapDice;case\"slice\":return HA.treemapSlice;default:return HA.treemapSliceDice}}});var $D=ye((J0r,oLe)=>{\"use strict\";var iLe=Fa(),jA=ka(),nLe=Pr(),oX=n1(),iPt=bv().resizeText,nPt=ZD();function aPt(e){var 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pX=ye((sgr,DLe)=>{\"use strict\";DLe.exports={iciclecolorway:{valType:\"colorlist\",editType:\"calc\"},extendiciclecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var OLe=ye((lgr,qLe)=>{\"use strict\";var FLe=Pr(),PPt=vX(),IPt=ka(),RPt=Cc().defaults,DPt=i0().handleText,FPt=S_().TEXTPAD,zPt=O2().handleMarkerDefaults,zLe=tc(),qPt=zLe.hasColorscale,OPt=zLe.handleDefaults;qLe.exports=function(t,r,n,i){function a(d,v){return FLe.coerce(t,r,PPt,d,v)}var o=a(\"labels\"),s=a(\"parents\");if(!o||!o.length||!s||!s.length){r.visible=!1;return}var l=a(\"values\");l&&l.length?a(\"branchvalues\"):a(\"count\"),a(\"level\"),a(\"maxdepth\"),a(\"tiling.orientation\"),a(\"tiling.flip\"),a(\"tiling.pad\");var u=a(\"text\");a(\"texttemplate\"),a(\"texttemplatefallback\"),r.texttemplate||a(\"textinfo\",FLe.isArrayOrTypedArray(u)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var 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GLe=ye((fgr,VLe)=>{\"use strict\";var UPt=VE(),VPt=nX();VLe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.orientation===\"h\",s=n.maxDepth,l=r[0],u=r[1];s&&(l=(t.height+1)*r[0]/Math.min(t.height+1,s),u=(t.height+1)*r[1]/Math.min(t.height+1,s));var c=UPt.partition().padding(n.pad.inner).size(o?[r[1],l]:[r[0],u])(t);return(o||i||a)&&VPt(c,r,{swapXY:o,flipX:i,flipY:a}),c}});var yX=ye((hgr,ZLe)=>{\"use strict\";var HLe=Fa(),jLe=ka(),WLe=Pr(),GPt=bv().resizeText,HPt=ZD();function jPt(e){var t=e._fullLayout._iciclelayer.selectAll(\".trace\");GPt(e,t,\"icicle\"),t.each(function(r){var n=HLe.select(this),i=r[0],a=i.trace;n.style(\"opacity\",a.opacity),n.selectAll(\"path.surface\").each(function(o){HLe.select(this).call(XLe,o,a,e)})})}function XLe(e,t,r,n){var 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je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,4,4294967295,0),this[Ue]=je>>>24,this[Ue+1]=je>>>16,this[Ue+2]=je>>>8,this[Ue+3]=je&255,Ue+4},m.prototype.writeIntLE=function(je,Ue,Ae,rt){if(je=+je,Ue=Ue>>>0,!rt){var St=Math.pow(2,8*Ae-1);Be(this,je,Ue,Ae,St-1,-St)}var Tt=0,dt=1,Et=0;for(this[Ue]=je&255;++Tt<Ae&&(dt*=256);)je<0&&Et===0&&this[Ue+Tt-1]!==0&&(Et=1),this[Ue+Tt]=(je/dt>>0)-Et&255;return Ue+Ae},m.prototype.writeIntBE=function(je,Ue,Ae,rt){if(je=+je,Ue=Ue>>>0,!rt){var St=Math.pow(2,8*Ae-1);Be(this,je,Ue,Ae,St-1,-St)}var Tt=Ae-1,dt=1,Et=0;for(this[Ue+Tt]=je&255;--Tt>=0&&(dt*=256);)je<0&&Et===0&&this[Ue+Tt+1]!==0&&(Et=1),this[Ue+Tt]=(je/dt>>0)-Et&255;return Ue+Ae},m.prototype.writeInt8=function(je,Ue,Ae){return je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,1,127,-128),je<0&&(je=255+je+1),this[Ue]=je&255,Ue+1},m.prototype.writeInt16LE=function(je,Ue,Ae){return je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,2,32767,-32768),this[Ue]=je&255,this[Ue+1]=je>>>8,Ue+2},m.prototype.writeInt16BE=function(je,Ue,Ae){return 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H,re;this.length>N.length?(H=this,re=N):(H=N,re=this);for(var ae=0;ae<re.length;ae++)this.words[ae]=H.words[ae]^re.words[ae];if(this!==H)for(;ae<H.length;ae++)this.words[ae]=H.words[ae];return this.length=H.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var H=Math.ceil(N/26)|0,re=N%26;this._expand(H),re>0&&H--;for(var ae=0;ae<H;ae++)this.words[ae]=~this.words[ae]&67108863;return re>0&&(this.words[ae]=~this.words[ae]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,H){u(typeof N==\"number\"&&N>=0);var re=N/26|0,ae=N%26;return 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N.negative!==0&&this.negative===0?(N.negative=0,H=this.sub(N),N.negative^=1,H):N.negative===0&&this.negative!==0?(this.negative=0,H=N.sub(this),this.negative=1,H):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var H=this.iadd(N);return N.negative=1,H._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var ae,_e;re>0?(ae=this,_e=N):(ae=N,_e=this);for(var Ee=0,Ce=0;Ce<_e.length;Ce++)H=(ae.words[Ce]|0)-(_e.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;for(;Ee!==0&&Ce<ae.length;Ce++)H=(ae.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;if(Ee===0&&Ce<ae.length&&ae!==this)for(;Ce<ae.length;Ce++)this.words[Ce]=ae.words[Ce];return this.length=Math.max(this.length,Ce),ae!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function T(j,N,H){H.negative=N.negative^j.negative;var re=j.length+N.length|0;H.length=re,re=re-1|0;var ae=j.words[0]|0,_e=N.words[0]|0,Ee=ae*_e,Ce=Ee&67108863,ge=Ee/67108864|0;H.words[0]=Ce;for(var ie=1;ie<re;ie++){for(var Se=ge>>>26,ke=ge&67108863,be=Math.min(ie,N.length-1),Be=Math.max(0,ie-j.length+1);Be<=be;Be++){var Le=ie-Be|0;ae=j.words[Le]|0,_e=N.words[Be]|0,Ee=ae*_e+ke,Se+=Ee/67108864|0,ke=Ee&67108863}H.words[ie]=ke|0,ge=Se|0}return ge!==0?H.words[ie]=ge|0:H.length--,H.strip()}var L=function(N,H,re){var ae=N.words,_e=H.words,Ee=re.words,Ce=0,ge,ie,Se,ke=ae[0]|0,be=ke&8191,Be=ke>>>13,Le=ae[1]|0,me=Le&8191,Pe=Le>>>13,ce=ae[2]|0,He=ce&8191,lt=ce>>>13,mt=ae[3]|0,Ht=mt&8191,at=mt>>>13,ct=ae[4]|0,ar=ct&8191,Vt=ct>>>13,rr=ae[5]|0,tt=rr&8191,je=rr>>>13,Ue=ae[6]|0,Ae=Ue&8191,rt=Ue>>>13,St=ae[7]|0,Tt=St&8191,dt=St>>>13,Et=ae[8]|0,pt=Et&8191,jt=Et>>>13,or=ae[9]|0,mr=or&8191,Ar=or>>>13,ei=_e[0]|0,qr=ei&8191,jr=ei>>>13,gt=_e[1]|0,Ge=gt&8191,Je=gt>>>13,We=_e[2]|0,et=We&8191,xt=We>>>13,At=_e[3]|0,Kt=At&8191,Qt=At>>>13,Mr=_e[4]|0,Gr=Mr&8191,Ir=Mr>>>13,Yr=_e[5]|0,_i=Yr&8191,Pi=Yr>>>13,ai=_e[6]|0,mi=ai&8191,un=ai>>>13,Fn=_e[7]|0,An=Fn&8191,Hn=Fn>>>13,Qn=_e[8]|0,Vi=Qn&8191,Jn=Qn>>>13,Yn=_e[9]|0,Gt=Yn&8191,wt=Yn>>>13;re.negative=N.negative^H.negative,re.length=19,ge=Math.imul(be,qr),ie=Math.imul(be,jr),ie=ie+Math.imul(Be,qr)|0,Se=Math.imul(Be,jr);var tr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(tr>>>26)|0,tr&=67108863,ge=Math.imul(me,qr),ie=Math.imul(me,jr),ie=ie+Math.imul(Pe,qr)|0,Se=Math.imul(Pe,jr),ge=ge+Math.imul(be,Ge)|0,ie=ie+Math.imul(be,Je)|0,ie=ie+Math.imul(Be,Ge)|0,Se=Se+Math.imul(Be,Je)|0;var ir=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ir>>>26)|0,ir&=67108863,ge=Math.imul(He,qr),ie=Math.imul(He,jr),ie=ie+Math.imul(lt,qr)|0,Se=Math.imul(lt,jr),ge=ge+Math.imul(me,Ge)|0,ie=ie+Math.imul(me,Je)|0,ie=ie+Math.imul(Pe,Ge)|0,Se=Se+Math.imul(Pe,Je)|0,ge=ge+Math.imul(be,et)|0,ie=ie+Math.imul(be,xt)|0,ie=ie+Math.imul(Be,et)|0,Se=Se+Math.imul(Be,xt)|0;var wr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(wr>>>26)|0,wr&=67108863,ge=Math.imul(Ht,qr),ie=Math.imul(Ht,jr),ie=ie+Math.imul(at,qr)|0,Se=Math.imul(at,jr),ge=ge+Math.imul(He,Ge)|0,ie=ie+Math.imul(He,Je)|0,ie=ie+Math.imul(lt,Ge)|0,Se=Se+Math.imul(lt,Je)|0,ge=ge+Math.imul(me,et)|0,ie=ie+Math.imul(me,xt)|0,ie=ie+Math.imul(Pe,et)|0,Se=Se+Math.imul(Pe,xt)|0,ge=ge+Math.imul(be,Kt)|0,ie=ie+Math.imul(be,Qt)|0,ie=ie+Math.imul(Be,Kt)|0,Se=Se+Math.imul(Be,Qt)|0;var Xr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xr>>>26)|0,Xr&=67108863,ge=Math.imul(ar,qr),ie=Math.imul(ar,jr),ie=ie+Math.imul(Vt,qr)|0,Se=Math.imul(Vt,jr),ge=ge+Math.imul(Ht,Ge)|0,ie=ie+Math.imul(Ht,Je)|0,ie=ie+Math.imul(at,Ge)|0,Se=Se+Math.imul(at,Je)|0,ge=ge+Math.imul(He,et)|0,ie=ie+Math.imul(He,xt)|0,ie=ie+Math.imul(lt,et)|0,Se=Se+Math.imul(lt,xt)|0,ge=ge+Math.imul(me,Kt)|0,ie=ie+Math.imul(me,Qt)|0,ie=ie+Math.imul(Pe,Kt)|0,Se=Se+Math.imul(Pe,Qt)|0,ge=ge+Math.imul(be,Gr)|0,ie=ie+Math.imul(be,Ir)|0,ie=ie+Math.imul(Be,Gr)|0,Se=Se+Math.imul(Be,Ir)|0;var ti=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ti>>>26)|0,ti&=67108863,ge=Math.imul(tt,qr),ie=Math.imul(tt,jr),ie=ie+Math.imul(je,qr)|0,Se=Math.imul(je,jr),ge=ge+Math.imul(ar,Ge)|0,ie=ie+Math.imul(ar,Je)|0,ie=ie+Math.imul(Vt,Ge)|0,Se=Se+Math.imul(Vt,Je)|0,ge=ge+Math.imul(Ht,et)|0,ie=ie+Math.imul(Ht,xt)|0,ie=ie+Math.imul(at,et)|0,Se=Se+Math.imul(at,xt)|0,ge=ge+Math.imul(He,Kt)|0,ie=ie+Math.imul(He,Qt)|0,ie=ie+Math.imul(lt,Kt)|0,Se=Se+Math.imul(lt,Qt)|0,ge=ge+Math.imul(me,Gr)|0,ie=ie+Math.imul(me,Ir)|0,ie=ie+Math.imul(Pe,Gr)|0,Se=Se+Math.imul(Pe,Ir)|0,ge=ge+Math.imul(be,_i)|0,ie=ie+Math.imul(be,Pi)|0,ie=ie+Math.imul(Be,_i)|0,Se=Se+Math.imul(Be,Pi)|0;var $r=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+($r>>>26)|0,$r&=67108863,ge=Math.imul(Ae,qr),ie=Math.imul(Ae,jr),ie=ie+Math.imul(rt,qr)|0,Se=Math.imul(rt,jr),ge=ge+Math.imul(tt,Ge)|0,ie=ie+Math.imul(tt,Je)|0,ie=ie+Math.imul(je,Ge)|0,Se=Se+Math.imul(je,Je)|0,ge=ge+Math.imul(ar,et)|0,ie=ie+Math.imul(ar,xt)|0,ie=ie+Math.imul(Vt,et)|0,Se=Se+Math.imul(Vt,xt)|0,ge=ge+Math.imul(Ht,Kt)|0,ie=ie+Math.imul(Ht,Qt)|0,ie=ie+Math.imul(at,Kt)|0,Se=Se+Math.imul(at,Qt)|0,ge=ge+Math.imul(He,Gr)|0,ie=ie+Math.imul(He,Ir)|0,ie=ie+Math.imul(lt,Gr)|0,Se=Se+Math.imul(lt,Ir)|0,ge=ge+Math.imul(me,_i)|0,ie=ie+Math.imul(me,Pi)|0,ie=ie+Math.imul(Pe,_i)|0,Se=Se+Math.imul(Pe,Pi)|0,ge=ge+Math.imul(be,mi)|0,ie=ie+Math.imul(be,un)|0,ie=ie+Math.imul(Be,mi)|0,Se=Se+Math.imul(Be,un)|0;var Ri=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ri>>>26)|0,Ri&=67108863,ge=Math.imul(Tt,qr),ie=Math.imul(Tt,jr),ie=ie+Math.imul(dt,qr)|0,Se=Math.imul(dt,jr),ge=ge+Math.imul(Ae,Ge)|0,ie=ie+Math.imul(Ae,Je)|0,ie=ie+Math.imul(rt,Ge)|0,Se=Se+Math.imul(rt,Je)|0,ge=ge+Math.imul(tt,et)|0,ie=ie+Math.imul(tt,xt)|0,ie=ie+Math.imul(je,et)|0,Se=Se+Math.imul(je,xt)|0,ge=ge+Math.imul(ar,Kt)|0,ie=ie+Math.imul(ar,Qt)|0,ie=ie+Math.imul(Vt,Kt)|0,Se=Se+Math.imul(Vt,Qt)|0,ge=ge+Math.imul(Ht,Gr)|0,ie=ie+Math.imul(Ht,Ir)|0,ie=ie+Math.imul(at,Gr)|0,Se=Se+Math.imul(at,Ir)|0,ge=ge+Math.imul(He,_i)|0,ie=ie+Math.imul(He,Pi)|0,ie=ie+Math.imul(lt,_i)|0,Se=Se+Math.imul(lt,Pi)|0,ge=ge+Math.imul(me,mi)|0,ie=ie+Math.imul(me,un)|0,ie=ie+Math.imul(Pe,mi)|0,Se=Se+Math.imul(Pe,un)|0,ge=ge+Math.imul(be,An)|0,ie=ie+Math.imul(be,Hn)|0,ie=ie+Math.imul(Be,An)|0,Se=Se+Math.imul(Be,Hn)|0;var Hi=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Hi>>>26)|0,Hi&=67108863,ge=Math.imul(pt,qr),ie=Math.imul(pt,jr),ie=ie+Math.imul(jt,qr)|0,Se=Math.imul(jt,jr),ge=ge+Math.imul(Tt,Ge)|0,ie=ie+Math.imul(Tt,Je)|0,ie=ie+Math.imul(dt,Ge)|0,Se=Se+Math.imul(dt,Je)|0,ge=ge+Math.imul(Ae,et)|0,ie=ie+Math.imul(Ae,xt)|0,ie=ie+Math.imul(rt,et)|0,Se=Se+Math.imul(rt,xt)|0,ge=ge+Math.imul(tt,Kt)|0,ie=ie+Math.imul(tt,Qt)|0,ie=ie+Math.imul(je,Kt)|0,Se=Se+Math.imul(je,Qt)|0,ge=ge+Math.imul(ar,Gr)|0,ie=ie+Math.imul(ar,Ir)|0,ie=ie+Math.imul(Vt,Gr)|0,Se=Se+Math.imul(Vt,Ir)|0,ge=ge+Math.imul(Ht,_i)|0,ie=ie+Math.imul(Ht,Pi)|0,ie=ie+Math.imul(at,_i)|0,Se=Se+Math.imul(at,Pi)|0,ge=ge+Math.imul(He,mi)|0,ie=ie+Math.imul(He,un)|0,ie=ie+Math.imul(lt,mi)|0,Se=Se+Math.imul(lt,un)|0,ge=ge+Math.imul(me,An)|0,ie=ie+Math.imul(me,Hn)|0,ie=ie+Math.imul(Pe,An)|0,Se=Se+Math.imul(Pe,Hn)|0,ge=ge+Math.imul(be,Vi)|0,ie=ie+Math.imul(be,Jn)|0,ie=ie+Math.imul(Be,Vi)|0,Se=Se+Math.imul(Be,Jn)|0;var en=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(en>>>26)|0,en&=67108863,ge=Math.imul(mr,qr),ie=Math.imul(mr,jr),ie=ie+Math.imul(Ar,qr)|0,Se=Math.imul(Ar,jr),ge=ge+Math.imul(pt,Ge)|0,ie=ie+Math.imul(pt,Je)|0,ie=ie+Math.imul(jt,Ge)|0,Se=Se+Math.imul(jt,Je)|0,ge=ge+Math.imul(Tt,et)|0,ie=ie+Math.imul(Tt,xt)|0,ie=ie+Math.imul(dt,et)|0,Se=Se+Math.imul(dt,xt)|0,ge=ge+Math.imul(Ae,Kt)|0,ie=ie+Math.imul(Ae,Qt)|0,ie=ie+Math.imul(rt,Kt)|0,Se=Se+Math.imul(rt,Qt)|0,ge=ge+Math.imul(tt,Gr)|0,ie=ie+Math.imul(tt,Ir)|0,ie=ie+Math.imul(je,Gr)|0,Se=Se+Math.imul(je,Ir)|0,ge=ge+Math.imul(ar,_i)|0,ie=ie+Math.imul(ar,Pi)|0,ie=ie+Math.imul(Vt,_i)|0,Se=Se+Math.imul(Vt,Pi)|0,ge=ge+Math.imul(Ht,mi)|0,ie=ie+Math.imul(Ht,un)|0,ie=ie+Math.imul(at,mi)|0,Se=Se+Math.imul(at,un)|0,ge=ge+Math.imul(He,An)|0,ie=ie+Math.imul(He,Hn)|0,ie=ie+Math.imul(lt,An)|0,Se=Se+Math.imul(lt,Hn)|0,ge=ge+Math.imul(me,Vi)|0,ie=ie+Math.imul(me,Jn)|0,ie=ie+Math.imul(Pe,Vi)|0,Se=Se+Math.imul(Pe,Jn)|0,ge=ge+Math.imul(be,Gt)|0,ie=ie+Math.imul(be,wt)|0,ie=ie+Math.imul(Be,Gt)|0,Se=Se+Math.imul(Be,wt)|0;var fn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(fn>>>26)|0,fn&=67108863,ge=Math.imul(mr,Ge),ie=Math.imul(mr,Je),ie=ie+Math.imul(Ar,Ge)|0,Se=Math.imul(Ar,Je),ge=ge+Math.imul(pt,et)|0,ie=ie+Math.imul(pt,xt)|0,ie=ie+Math.imul(jt,et)|0,Se=Se+Math.imul(jt,xt)|0,ge=ge+Math.imul(Tt,Kt)|0,ie=ie+Math.imul(Tt,Qt)|0,ie=ie+Math.imul(dt,Kt)|0,Se=Se+Math.imul(dt,Qt)|0,ge=ge+Math.imul(Ae,Gr)|0,ie=ie+Math.imul(Ae,Ir)|0,ie=ie+Math.imul(rt,Gr)|0,Se=Se+Math.imul(rt,Ir)|0,ge=ge+Math.imul(tt,_i)|0,ie=ie+Math.imul(tt,Pi)|0,ie=ie+Math.imul(je,_i)|0,Se=Se+Math.imul(je,Pi)|0,ge=ge+Math.imul(ar,mi)|0,ie=ie+Math.imul(ar,un)|0,ie=ie+Math.imul(Vt,mi)|0,Se=Se+Math.imul(Vt,un)|0,ge=ge+Math.imul(Ht,An)|0,ie=ie+Math.imul(Ht,Hn)|0,ie=ie+Math.imul(at,An)|0,Se=Se+Math.imul(at,Hn)|0,ge=ge+Math.imul(He,Vi)|0,ie=ie+Math.imul(He,Jn)|0,ie=ie+Math.imul(lt,Vi)|0,Se=Se+Math.imul(lt,Jn)|0,ge=ge+Math.imul(me,Gt)|0,ie=ie+Math.imul(me,wt)|0,ie=ie+Math.imul(Pe,Gt)|0,Se=Se+Math.imul(Pe,wt)|0;var yn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(yn>>>26)|0,yn&=67108863,ge=Math.imul(mr,et),ie=Math.imul(mr,xt),ie=ie+Math.imul(Ar,et)|0,Se=Math.imul(Ar,xt),ge=ge+Math.imul(pt,Kt)|0,ie=ie+Math.imul(pt,Qt)|0,ie=ie+Math.imul(jt,Kt)|0,Se=Se+Math.imul(jt,Qt)|0,ge=ge+Math.imul(Tt,Gr)|0,ie=ie+Math.imul(Tt,Ir)|0,ie=ie+Math.imul(dt,Gr)|0,Se=Se+Math.imul(dt,Ir)|0,ge=ge+Math.imul(Ae,_i)|0,ie=ie+Math.imul(Ae,Pi)|0,ie=ie+Math.imul(rt,_i)|0,Se=Se+Math.imul(rt,Pi)|0,ge=ge+Math.imul(tt,mi)|0,ie=ie+Math.imul(tt,un)|0,ie=ie+Math.imul(je,mi)|0,Se=Se+Math.imul(je,un)|0,ge=ge+Math.imul(ar,An)|0,ie=ie+Math.imul(ar,Hn)|0,ie=ie+Math.imul(Vt,An)|0,Se=Se+Math.imul(Vt,Hn)|0,ge=ge+Math.imul(Ht,Vi)|0,ie=ie+Math.imul(Ht,Jn)|0,ie=ie+Math.imul(at,Vi)|0,Se=Se+Math.imul(at,Jn)|0,ge=ge+Math.imul(He,Gt)|0,ie=ie+Math.imul(He,wt)|0,ie=ie+Math.imul(lt,Gt)|0,Se=Se+Math.imul(lt,wt)|0;var Mn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Mn>>>26)|0,Mn&=67108863,ge=Math.imul(mr,Kt),ie=Math.imul(mr,Qt),ie=ie+Math.imul(Ar,Kt)|0,Se=Math.imul(Ar,Qt),ge=ge+Math.imul(pt,Gr)|0,ie=ie+Math.imul(pt,Ir)|0,ie=ie+Math.imul(jt,Gr)|0,Se=Se+Math.imul(jt,Ir)|0,ge=ge+Math.imul(Tt,_i)|0,ie=ie+Math.imul(Tt,Pi)|0,ie=ie+Math.imul(dt,_i)|0,Se=Se+Math.imul(dt,Pi)|0,ge=ge+Math.imul(Ae,mi)|0,ie=ie+Math.imul(Ae,un)|0,ie=ie+Math.imul(rt,mi)|0,Se=Se+Math.imul(rt,un)|0,ge=ge+Math.imul(tt,An)|0,ie=ie+Math.imul(tt,Hn)|0,ie=ie+Math.imul(je,An)|0,Se=Se+Math.imul(je,Hn)|0,ge=ge+Math.imul(ar,Vi)|0,ie=ie+Math.imul(ar,Jn)|0,ie=ie+Math.imul(Vt,Vi)|0,Se=Se+Math.imul(Vt,Jn)|0,ge=ge+Math.imul(Ht,Gt)|0,ie=ie+Math.imul(Ht,wt)|0,ie=ie+Math.imul(at,Gt)|0,Se=Se+Math.imul(at,wt)|0;var Ba=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ba>>>26)|0,Ba&=67108863,ge=Math.imul(mr,Gr),ie=Math.imul(mr,Ir),ie=ie+Math.imul(Ar,Gr)|0,Se=Math.imul(Ar,Ir),ge=ge+Math.imul(pt,_i)|0,ie=ie+Math.imul(pt,Pi)|0,ie=ie+Math.imul(jt,_i)|0,Se=Se+Math.imul(jt,Pi)|0,ge=ge+Math.imul(Tt,mi)|0,ie=ie+Math.imul(Tt,un)|0,ie=ie+Math.imul(dt,mi)|0,Se=Se+Math.imul(dt,un)|0,ge=ge+Math.imul(Ae,An)|0,ie=ie+Math.imul(Ae,Hn)|0,ie=ie+Math.imul(rt,An)|0,Se=Se+Math.imul(rt,Hn)|0,ge=ge+Math.imul(tt,Vi)|0,ie=ie+Math.imul(tt,Jn)|0,ie=ie+Math.imul(je,Vi)|0,Se=Se+Math.imul(je,Jn)|0,ge=ge+Math.imul(ar,Gt)|0,ie=ie+Math.imul(ar,wt)|0,ie=ie+Math.imul(Vt,Gt)|0,Se=Se+Math.imul(Vt,wt)|0;var ua=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ua>>>26)|0,ua&=67108863,ge=Math.imul(mr,_i),ie=Math.imul(mr,Pi),ie=ie+Math.imul(Ar,_i)|0,Se=Math.imul(Ar,Pi),ge=ge+Math.imul(pt,mi)|0,ie=ie+Math.imul(pt,un)|0,ie=ie+Math.imul(jt,mi)|0,Se=Se+Math.imul(jt,un)|0,ge=ge+Math.imul(Tt,An)|0,ie=ie+Math.imul(Tt,Hn)|0,ie=ie+Math.imul(dt,An)|0,Se=Se+Math.imul(dt,Hn)|0,ge=ge+Math.imul(Ae,Vi)|0,ie=ie+Math.imul(Ae,Jn)|0,ie=ie+Math.imul(rt,Vi)|0,Se=Se+Math.imul(rt,Jn)|0,ge=ge+Math.imul(tt,Gt)|0,ie=ie+Math.imul(tt,wt)|0,ie=ie+Math.imul(je,Gt)|0,Se=Se+Math.imul(je,wt)|0;var ma=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ma>>>26)|0,ma&=67108863,ge=Math.imul(mr,mi),ie=Math.imul(mr,un),ie=ie+Math.imul(Ar,mi)|0,Se=Math.imul(Ar,un),ge=ge+Math.imul(pt,An)|0,ie=ie+Math.imul(pt,Hn)|0,ie=ie+Math.imul(jt,An)|0,Se=Se+Math.imul(jt,Hn)|0,ge=ge+Math.imul(Tt,Vi)|0,ie=ie+Math.imul(Tt,Jn)|0,ie=ie+Math.imul(dt,Vi)|0,Se=Se+Math.imul(dt,Jn)|0,ge=ge+Math.imul(Ae,Gt)|0,ie=ie+Math.imul(Ae,wt)|0,ie=ie+Math.imul(rt,Gt)|0,Se=Se+Math.imul(rt,wt)|0;var Wa=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Wa>>>26)|0,Wa&=67108863,ge=Math.imul(mr,An),ie=Math.imul(mr,Hn),ie=ie+Math.imul(Ar,An)|0,Se=Math.imul(Ar,Hn),ge=ge+Math.imul(pt,Vi)|0,ie=ie+Math.imul(pt,Jn)|0,ie=ie+Math.imul(jt,Vi)|0,Se=Se+Math.imul(jt,Jn)|0,ge=ge+Math.imul(Tt,Gt)|0,ie=ie+Math.imul(Tt,wt)|0,ie=ie+Math.imul(dt,Gt)|0,Se=Se+Math.imul(dt,wt)|0;var za=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(za>>>26)|0,za&=67108863,ge=Math.imul(mr,Vi),ie=Math.imul(mr,Jn),ie=ie+Math.imul(Ar,Vi)|0,Se=Math.imul(Ar,Jn),ge=ge+Math.imul(pt,Gt)|0,ie=ie+Math.imul(pt,wt)|0,ie=ie+Math.imul(jt,Gt)|0,Se=Se+Math.imul(jt,wt)|0;var Xo=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xo>>>26)|0,Xo&=67108863,ge=Math.imul(mr,Gt),ie=Math.imul(mr,wt),ie=ie+Math.imul(Ar,Gt)|0,Se=Math.imul(Ar,wt);var da=(Ce+ge|0)+((ie&8191)<<13)|0;return Ce=(Se+(ie>>>13)|0)+(da>>>26)|0,da&=67108863,Ee[0]=tr,Ee[1]=ir,Ee[2]=wr,Ee[3]=Xr,Ee[4]=ti,Ee[5]=$r,Ee[6]=Ri,Ee[7]=Hi,Ee[8]=en,Ee[9]=fn,Ee[10]=yn,Ee[11]=Mn,Ee[12]=Ba,Ee[13]=ua,Ee[14]=ma,Ee[15]=Wa,Ee[16]=za,Ee[17]=Xo,Ee[18]=da,Ce!==0&&(Ee[19]=Ce,re.length++),re};Math.imul||(L=T);function x(j,N,H){H.negative=N.negative^j.negative,H.length=j.length+N.length;for(var re=0,ae=0,_e=0;_e<H.length-1;_e++){var Ee=ae;ae=0;for(var Ce=re&67108863,ge=Math.min(_e,N.length-1),ie=Math.max(0,_e-j.length+1);ie<=ge;ie++){var Se=_e-ie,ke=j.words[Se]|0,be=N.words[ie]|0,Be=ke*be,Le=Be&67108863;Ee=Ee+(Be/67108864|0)|0,Le=Le+Ce|0,Ce=Le&67108863,Ee=Ee+(Le>>>26)|0,ae+=Ee>>>26,Ee&=67108863}H.words[_e]=Ce,re=Ee,Ee=ae}return re!==0?H.words[_e]=re:H.length--,H.strip()}function C(j,N,H){var re=new S;return re.mulp(j,N,H)}f.prototype.mulTo=function(N,H){var re,ae=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,H):ae<63?re=T(this,N,H):ae<1024?re=x(this,N,H):re=C(this,N,H),re};function S(j,N){this.x=j,this.y=N}S.prototype.makeRBT=function(N){for(var H=new Array(N),re=f.prototype._countBits(N)-1,ae=0;ae<N;ae++)H[ae]=this.revBin(ae,re,N);return H},S.prototype.revBin=function(N,H,re){if(N===0||N===re-1)return N;for(var ae=0,_e=0;_e<H;_e++)ae|=(N&1)<<H-_e-1,N>>=1;return ae},S.prototype.permute=function(N,H,re,ae,_e,Ee){for(var Ce=0;Ce<Ee;Ce++)ae[Ce]=H[N[Ce]],_e[Ce]=re[N[Ce]]},S.prototype.transform=function(N,H,re,ae,_e,Ee){this.permute(Ee,N,H,re,ae,_e);for(var Ce=1;Ce<_e;Ce<<=1)for(var ge=Ce<<1,ie=Math.cos(2*Math.PI/ge),Se=Math.sin(2*Math.PI/ge),ke=0;ke<_e;ke+=ge)for(var be=ie,Be=Se,Le=0;Le<Ce;Le++){var me=re[ke+Le],Pe=ae[ke+Le],ce=re[ke+Le+Ce],He=ae[ke+Le+Ce],lt=be*ce-Be*He;He=be*He+Be*ce,ce=lt,re[ke+Le]=me+ce,ae[ke+Le]=Pe+He,re[ke+Le+Ce]=me-ce,ae[ke+Le+Ce]=Pe-He,Le!==ge&&(lt=ie*be-Se*Be,Be=ie*Be+Se*be,be=lt)}},S.prototype.guessLen13b=function(N,H){var re=Math.max(H,N)|1,ae=re&1,_e=0;for(re=re/2|0;re;re=re>>>1)_e++;return 1<<_e+1+ae},S.prototype.conjugate=function(N,H,re){if(!(re<=1))for(var ae=0;ae<re/2;ae++){var _e=N[ae];N[ae]=N[re-ae-1],N[re-ae-1]=_e,_e=H[ae],H[ae]=-H[re-ae-1],H[re-ae-1]=-_e}},S.prototype.normalize13b=function(N,H){for(var re=0,ae=0;ae<H/2;ae++){var _e=Math.round(N[2*ae+1]/H)*8192+Math.round(N[2*ae]/H)+re;N[ae]=_e&67108863,_e<67108864?re=0:re=_e/67108864|0}return N},S.prototype.convert13b=function(N,H,re,ae){for(var _e=0,Ee=0;Ee<H;Ee++)_e=_e+(N[Ee]|0),re[2*Ee]=_e&8191,_e=_e>>>13,re[2*Ee+1]=_e&8191,_e=_e>>>13;for(Ee=2*H;Ee<ae;++Ee)re[Ee]=0;u(_e===0),u((_e&-8192)===0)},S.prototype.stub=function(N){for(var H=new Array(N),re=0;re<N;re++)H[re]=0;return H},S.prototype.mulp=function(N,H,re){var ae=2*this.guessLen13b(N.length,H.length),_e=this.makeRBT(ae),Ee=this.stub(ae),Ce=new Array(ae),ge=new Array(ae),ie=new Array(ae),Se=new Array(ae),ke=new Array(ae),be=new Array(ae),Be=re.words;Be.length=ae,this.convert13b(N.words,N.length,Ce,ae),this.convert13b(H.words,H.length,Se,ae),this.transform(Ce,Ee,ge,ie,ae,_e),this.transform(Se,Ee,ke,be,ae,_e);for(var Le=0;Le<ae;Le++){var me=ge[Le]*ke[Le]-ie[Le]*be[Le];ie[Le]=ge[Le]*be[Le]+ie[Le]*ke[Le],ge[Le]=me}return this.conjugate(ge,ie,ae),this.transform(ge,ie,Be,Ee,ae,_e),this.conjugate(Be,Ee,ae),this.normalize13b(Be,ae),re.negative=N.negative^H.negative,re.length=N.length+H.length,re.strip()},f.prototype.mul=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),this.mulTo(N,H)},f.prototype.mulf=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),C(this,N,H)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var H=0,re=0;re<this.length;re++){var ae=(this.words[re]|0)*N,_e=(ae&67108863)+(H&67108863);H>>=26,H+=ae/67108864|0,H+=_e>>>26,this.words[re]=_e&67108863}return H!==0&&(this.words[re]=H,this.length++),this.length=N===0?1:this.length,this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var H=M(N);if(H.length===0)return new f(1);for(var re=this,ae=0;ae<H.length&&H[ae]===0;ae++,re=re.sqr());if(++ae<H.length)for(var _e=re.sqr();ae<H.length;ae++,_e=_e.sqr())H[ae]!==0&&(re=re.mul(_e));return re},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26,ae=67108863>>>26-H<<26-H,_e;if(H!==0){var Ee=0;for(_e=0;_e<this.length;_e++){var Ce=this.words[_e]&ae,ge=(this.words[_e]|0)-Ce<<H;this.words[_e]=ge|Ee,Ee=Ce>>>26-H}Ee&&(this.words[_e]=Ee,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e<re;_e++)this.words[_e]=0;this.length+=re}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,H,re){u(typeof N==\"number\"&&N>=0);var ae;H?ae=(H-H%26)/26:ae=0;var _e=N%26,Ee=Math.min((N-_e)/26,this.length),Ce=67108863^67108863>>>_e<<_e,ge=re;if(ae-=Ee,ae=Math.max(0,ae),ge){for(var ie=0;ie<Ee;ie++)ge.words[ie]=this.words[ie];ge.length=Ee}if(Ee!==0)if(this.length>Ee)for(this.length-=Ee,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Ee];else this.words[0]=0,this.length=1;var Se=0;for(ie=this.length-1;ie>=0&&(Se!==0||ie>=ae);ie--){var ke=this.words[ie]|0;this.words[ie]=Se<<26-_e|ke>>>_e,Se=ke&Ce}return ge&&Se!==0&&(ge.words[ge.length++]=Se),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,H,re){return u(this.negative===0),this.iushrn(N,H,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26,ae=1<<H;if(this.length<=re)return!1;var _e=this.words[re];return!!(_e&ae)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(H!==0&&re++,this.length=Math.min(re,this.length),H!==0){var ae=67108863^67108863>>>H<<H;this.words[this.length-1]&=ae}return this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var H=0;H<this.length&&this.words[H]>=67108864;H++)this.words[H]-=67108864,H===this.length-1?this.words[H+1]=1:this.words[H+1]++;return this.length=Math.max(this.length,H+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var H=0;H<this.length&&this.words[H]<0;H++)this.words[H]+=67108864,this.words[H+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,H,re){var ae=N.length+re,_e;this._expand(ae);var Ee,Ce=0;for(_e=0;_e<N.length;_e++){Ee=(this.words[_e+re]|0)+Ce;var ge=(N.words[_e]|0)*H;Ee-=ge&67108863,Ce=(Ee>>26)-(ge/67108864|0),this.words[_e+re]=Ee&67108863}for(;_e<this.length-re;_e++)Ee=(this.words[_e+re]|0)+Ce,Ce=Ee>>26,this.words[_e+re]=Ee&67108863;if(Ce===0)return this.strip();for(u(Ce===-1),Ce=0,_e=0;_e<this.length;_e++)Ee=-(this.words[_e]|0)+Ce,Ce=Ee>>26,this.words[_e]=Ee&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,H){var re=this.length-N.length,ae=this.clone(),_e=N,Ee=_e.words[_e.length-1]|0,Ce=this._countBits(Ee);re=26-Ce,re!==0&&(_e=_e.ushln(re),ae.iushln(re),Ee=_e.words[_e.length-1]|0);var ge=ae.length-_e.length,ie;if(H!==\"mod\"){ie=new f(null),ie.length=ge+1,ie.words=new Array(ie.length);for(var Se=0;Se<ie.length;Se++)ie.words[Se]=0}var ke=ae.clone()._ishlnsubmul(_e,1,ge);ke.negative===0&&(ae=ke,ie&&(ie.words[ge]=1));for(var be=ge-1;be>=0;be--){var Be=(ae.words[_e.length+be]|0)*67108864+(ae.words[_e.length+be-1]|0);for(Be=Math.min(Be/Ee|0,67108863),ae._ishlnsubmul(_e,Be,be);ae.negative!==0;)Be--,ae.negative=0,ae._ishlnsubmul(_e,1,be),ae.isZero()||(ae.negative^=1);ie&&(ie.words[be]=Be)}return ie&&ie.strip(),ae.strip(),H!==\"div\"&&re!==0&&ae.iushrn(re),{div:ie||null,mod:ae}},f.prototype.divmod=function(N,H,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var ae,_e,Ee;return this.negative!==0&&N.negative===0?(Ee=this.neg().divmod(N,H),H!==\"mod\"&&(ae=Ee.div.neg()),H!==\"div\"&&(_e=Ee.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:ae,mod:_e}):this.negative===0&&N.negative!==0?(Ee=this.divmod(N.neg(),H),H!==\"mod\"&&(ae=Ee.div.neg()),{div:ae,mod:Ee.mod}):(this.negative&N.negative)!==0?(Ee=this.neg().divmod(N.neg(),H),H!==\"div\"&&(_e=Ee.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Ee.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?H===\"div\"?{div:this.divn(N.words[0]),mod:null}:H===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,H)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var H=this.divmod(N);if(H.mod.isZero())return H.div;var re=H.div.negative!==0?H.mod.isub(N):H.mod,ae=N.ushrn(1),_e=N.andln(1),Ee=re.cmp(ae);return Ee<0||_e===1&&Ee===0?H.div:H.div.negative!==0?H.div.isubn(1):H.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var H=(1<<26)%N,re=0,ae=this.length-1;ae>=0;ae--)re=(H*re+(this.words[ae]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var H=0,re=this.length-1;re>=0;re--){var ae=(this.words[re]|0)+H*67108864;this.words[re]=ae/N|0,H=ae%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var H=this,re=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var ae=new f(1),_e=new f(0),Ee=new f(0),Ce=new f(1),ge=0;H.isEven()&&re.isEven();)H.iushrn(1),re.iushrn(1),++ge;for(var ie=re.clone(),Se=H.clone();!H.isZero();){for(var ke=0,be=1;(H.words[0]&be)===0&&ke<26;++ke,be<<=1);if(ke>0)for(H.iushrn(ke);ke-- >0;)(ae.isOdd()||_e.isOdd())&&(ae.iadd(ie),_e.isub(Se)),ae.iushrn(1),_e.iushrn(1);for(var Be=0,Le=1;(re.words[0]&Le)===0&&Be<26;++Be,Le<<=1);if(Be>0)for(re.iushrn(Be);Be-- >0;)(Ee.isOdd()||Ce.isOdd())&&(Ee.iadd(ie),Ce.isub(Se)),Ee.iushrn(1),Ce.iushrn(1);H.cmp(re)>=0?(H.isub(re),ae.isub(Ee),_e.isub(Ce)):(re.isub(H),Ee.isub(ae),Ce.isub(_e))}return{a:Ee,b:Ce,gcd:re.iushln(ge)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var H=this,re=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var ae=new f(1),_e=new f(0),Ee=re.clone();H.cmpn(1)>0&&re.cmpn(1)>0;){for(var Ce=0,ge=1;(H.words[0]&ge)===0&&Ce<26;++Ce,ge<<=1);if(Ce>0)for(H.iushrn(Ce);Ce-- >0;)ae.isOdd()&&ae.iadd(Ee),ae.iushrn(1);for(var ie=0,Se=1;(re.words[0]&Se)===0&&ie<26;++ie,Se<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Ee),_e.iushrn(1);H.cmp(re)>=0?(H.isub(re),ae.isub(_e)):(re.isub(H),_e.isub(ae))}var ke;return H.cmpn(1)===0?ke=ae:ke=_e,ke.cmpn(0)<0&&ke.iadd(N),ke},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var H=this.clone(),re=N.clone();H.negative=0,re.negative=0;for(var ae=0;H.isEven()&&re.isEven();ae++)H.iushrn(1),re.iushrn(1);do{for(;H.isEven();)H.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=H.cmp(re);if(_e<0){var Ee=H;H=re,re=Ee}else if(_e===0||re.cmpn(1)===0)break;H.isub(re)}while(!0);return re.iushln(ae)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var H=N%26,re=(N-H)/26,ae=1<<H;if(this.length<=re)return this._expand(re+1),this.words[re]|=ae,this;for(var _e=ae,Ee=re;_e!==0&&Ee<this.length;Ee++){var Ce=this.words[Ee]|0;Ce+=_e,_e=Ce>>>26,Ce&=67108863,this.words[Ee]=Ce}return _e!==0&&(this.words[Ee]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var H=N<0;if(this.negative!==0&&!H)return-1;if(this.negative===0&&H)return 1;this.strip();var re;if(this.length>1)re=1;else{H&&(N=-N),u(N<=67108863,\"Number is too big\");var ae=this.words[0]|0;re=ae===N?0:ae<N?-1:1}return this.negative!==0?-re|0:re},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var H=this.ucmp(N);return this.negative!==0?-H|0:H},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var H=0,re=this.length-1;re>=0;re--){var ae=this.words[re]|0,_e=N.words[re]|0;if(ae!==_e){ae<_e?H=-1:ae>_e&&(H=1);break}}return H},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new G(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var g={k256:null,p224:null,p192:null,p25519:null};function P(j,N){this.name=j,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var H=N,re;do this.split(H,this.tmp),H=this.imulK(H),H=H.iadd(this.tmp),re=H.bitLength();while(re>this.n);var ae=re<this.n?-1:H.ucmp(this.p);return ae===0?(H.words[0]=0,H.length=1):ae>0?H.isub(this.p):H.strip!==void 0?H.strip():H._strip(),H},P.prototype.split=function(N,H){N.iushrn(this.n,0,H)},P.prototype.imulK=function(N){return N.imul(this.k)};function E(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(E,P),E.prototype.split=function(N,H){for(var re=4194303,ae=Math.min(N.length,9),_e=0;_e<ae;_e++)H.words[_e]=N.words[_e];if(H.length=ae,N.length<=9){N.words[0]=0,N.length=1;return}var Ee=N.words[9];for(H.words[H.length++]=Ee&re,_e=10;_e<N.length;_e++){var Ce=N.words[_e]|0;N.words[_e-10]=(Ce&re)<<4|Ee>>>22,Ee=Ce}Ee>>>=22,N.words[_e-10]=Ee,Ee===0&&N.length>10?N.length-=10:N.length-=9},E.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var H=0,re=0;re<N.length;re++){var ae=N.words[re]|0;H+=ae*977,N.words[re]=H&67108863,H=ae*64+(H/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function z(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(z,P);function q(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(q,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var H=0,re=0;re<N.length;re++){var ae=(N.words[re]|0)*19+H,_e=ae&67108863;ae>>>=26,N.words[re]=_e,H=ae}return H!==0&&(N.words[N.length++]=H),N},f._prime=function(N){if(g[N])return g[N];var H;if(N===\"k256\")H=new E;else if(N===\"p224\")H=new z;else if(N===\"p192\")H=new q;else if(N===\"p25519\")H=new V;else throw new Error(\"Unknown prime \"+N);return g[N]=H,H};function G(j){if(typeof j==\"string\"){var N=f._prime(j);this.m=N.p,this.prime=N}else u(j.gtn(1),\"modulus must be greater than 1\"),this.m=j,this.prime=null}G.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red 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H.negative!==0?(H.negative=0,this.imod(H).redNeg()):this.imod(H)},G.prototype.pow=function(N,H){if(H.isZero())return new f(1).toRed(this);if(H.cmpn(1)===0)return N.clone();var re=4,ae=new Array(1<<re);ae[0]=new f(1).toRed(this),ae[1]=N;for(var _e=2;_e<ae.length;_e++)ae[_e]=this.mul(ae[_e-1],N);var Ee=ae[0],Ce=0,ge=0,ie=H.bitLength()%26;for(ie===0&&(ie=26),_e=H.length-1;_e>=0;_e--){for(var Se=H.words[_e],ke=ie-1;ke>=0;ke--){var be=Se>>ke&1;if(Ee!==ae[0]&&(Ee=this.sqr(Ee)),be===0&&Ce===0){ge=0;continue}Ce<<=1,Ce|=be,ge++,!(ge!==re&&(_e!==0||ke!==0))&&(Ee=this.mul(Ee,ae[Ce]),ge=0,Ce=0)}ie=26}return Ee},G.prototype.convertTo=function(N){var H=N.umod(this.m);return H===N?H.clone():H},G.prototype.convertFrom=function(N){var H=N.clone();return H.red=null,H},f.mont=function(N){return new Z(N)};function Z(j){G.call(this,j),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new f(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}c(Z,G),Z.prototype.convertTo=function(N){return this.imod(N.ushln(this.shift))},Z.prototype.convertFrom=function(N){var H=this.imod(N.mul(this.rinv));return H.red=null,H},Z.prototype.imul=function(N,H){if(N.isZero()||H.isZero())return N.words[0]=0,N.length=1,N;var re=N.imul(H),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Ee=_e;return _e.cmp(this.m)>=0?Ee=_e.isub(this.m):_e.cmpn(0)<0&&(Ee=_e.iadd(this.m)),Ee._forceRed(this)},Z.prototype.mul=function(N,H){if(N.isZero()||H.isZero())return new f(0)._forceRed(this);var re=N.mul(H),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Ee=_e;return 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ct}}}function Z(N,H,re,ae,_e,Ee,Ce,ge,ie,Se){var ke=2*N,be=ge*ke,Be=ie[be+H];e:for(var Le=ae,me=ae*ke;Le<_e;++Le,me+=ke){var Pe=Ce[Le];if(Pe!==Se){var ce=Ee[me+H],He=Ee[me+H+N];if(!(Be<ce||He<Be)){for(var lt=H+1;lt<N;++lt){var ce=Ee[me+lt],He=Ee[me+lt+N],mt=ie[be+lt],Ht=ie[be+lt+N];if(He<mt||Ht<ce)continue e}var at=re(Pe,Se);if(at!==void 0)return at}}}}function j(N,H,re,ae,_e,Ee,Ce,ge,ie){q(N,ae+Ce);var Se=0,ke=2*N,be;for(V(Se++,0,0,ae,0,Ce,re?16:0,-1/0,1/0),re||V(Se++,0,0,Ce,0,ae,1,-1/0,1/0);Se>0;){Se-=1;var Be=Se*S,Le=E[Be],me=E[Be+1],Pe=E[Be+2],ce=E[Be+3],He=E[Be+4],lt=E[Be+5],mt=Se*g,Ht=z[mt],at=z[mt+1],ct=lt&1,ar=!!(lt&16),Vt=_e,rr=Ee,tt=ge,je=ie;if(ct&&(Vt=ge,rr=ie,tt=_e,je=Ee),!(lt&2&&(Pe=T(N,Le,me,Pe,Vt,rr,at),me>=Pe))&&!(lt&4&&(me=L(N,Le,me,Pe,Vt,rr,Ht),me>=Pe))){var Ue=Pe-me,Ae=He-ce;if(ar){if(N*Ue*(Ue+Ae)<p){if(be=h.scanComplete(N,Le,H,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}}else if(N*Math.min(Ue,Ae)<m){if(be=c(N,Le,H,ct,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}else if(N*Ue*Ae<b){if(be=h.scanBipartite(N,Le,H,ct,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}var rt=k(N,Le,me,Pe,Vt,rr,Ht,at);if(me<rt)if(N*(rt-me)<m){if(be=f(N,Le+1,H,me,rt,Vt,rr,ce,He,tt,je),be!==void 0)return be}else if(Le===N-2){if(ct?be=h.sweepBipartite(N,H,ce,He,tt,je,me,rt,Vt,rr):be=h.sweepBipartite(N,H,me,rt,Vt,rr,ce,He,tt,je),be!==void 0)return be}else V(Se++,Le+1,me,rt,ce,He,ct,-1/0,1/0),V(Se++,Le+1,ce,He,me,rt,ct^1,-1/0,1/0);if(rt<Pe){var St=d(N,Le,ce,He,tt,je),Tt=tt[ke*St+Le],dt=M(N,Le,St,He,tt,je,Tt);if(dt<He&&V(Se++,Le,rt,Pe,dt,He,(ct|4)+(ar?16:0),Tt,at),ce<St&&V(Se++,Le,rt,Pe,ce,St,(ct|2)+(ar?16:0),Ht,Tt),St+1===dt){if(ar?be=Z(N,Le,H,rt,Pe,Vt,rr,St,tt,je[St]):be=G(N,Le,H,ct,rt,Pe,Vt,rr,St,tt,je[St]),be!==void 0)return be}else if(St<dt){var Et;if(ar){if(Et=x(N,Le,rt,Pe,Vt,rr,Tt),rt<Et){var pt=M(N,Le,rt,Et,Vt,rr,Tt);if(Le===N-2){if(rt<pt&&(be=h.sweepComplete(N,H,rt,pt,Vt,rr,St,dt,tt,je),be!==void 0)||pt<Et&&(be=h.sweepBipartite(N,H,pt,Et,Vt,rr,St,dt,tt,je),be!==void 0))return be}else rt<pt&&V(Se++,Le+1,rt,pt,St,dt,16,-1/0,1/0),pt<Et&&(V(Se++,Le+1,pt,Et,St,dt,0,-1/0,1/0),V(Se++,Le+1,St,dt,pt,Et,1,-1/0,1/0))}}else ct?Et=C(N,Le,rt,Pe,Vt,rr,Tt):Et=x(N,Le,rt,Pe,Vt,rr,Tt),rt<Et&&(Le===N-2?ct?be=h.sweepBipartite(N,H,St,dt,tt,je,rt,Et,Vt,rr):be=h.sweepBipartite(N,H,rt,Et,Vt,rr,St,dt,tt,je):(V(Se++,Le+1,rt,Et,St,dt,ct,-1/0,1/0),V(Se++,Le+1,St,dt,rt,Et,ct^1,-1/0,1/0)))}}}}}}),3545:(function(i,a,o){\"use strict\";i.exports=f;var s=o(8105),l=s(\"lo<p0\"),u=8;function c(h,d,v,m,b,p){for(var k=2*h,M=k*(v+1)+d,T=v+1;T<m;++T,M+=k)for(var L=b[M],x=T,C=k*(T-1);x>v&&b[C+d]>L;--x,C-=k){for(var S=C,g=C+k,P=0;P<k;++P,++S,++g){var E=b[S];b[S]=b[g],b[g]=E}var z=p[x];p[x]=p[x-1],p[x-1]=z}}function f(h,d,v,m,b,p){if(m<=v+1)return v;for(var k=v,M=m,T=m+v>>>1,L=2*h,x=T,C=b[L*T+d];k<M;){if(M-k<u){c(h,d,k,M,b,p),C=b[L*T+d];break}var S=M-k,g=Math.random()*S+k|0,P=b[L*g+d],E=Math.random()*S+k|0,z=b[L*E+d],q=Math.random()*S+k|0,V=b[L*q+d];P<=z?V>=z?(x=E,C=z):P>=V?(x=g,C=P):(x=q,C=V):z>=V?(x=E,C=z):V>=P?(x=g,C=P):(x=q,C=V);for(var j=L*(M-1),N=L*x,G=0;G<L;++G,++j,++N){var Z=b[j];b[j]=b[N],b[N]=Z}var H=p[M-1];p[M-1]=p[x],p[x]=H,x=l(h,d,k,M-1,b,p,C);for(var j=L*(M-1),N=L*x,G=0;G<L;++G,++j,++N){var Z=b[j];b[j]=b[N],b[N]=Z}var H=p[M-1];if(p[M-1]=p[x],p[x]=H,T<x){for(M=x-1;k<M&&b[L*(M-1)+d]===C;)M-=1;M+=1}else if(x<T)for(k=x+1;k<M&&b[L*k+d]===C;)k+=1;else break}return l(h,d,v,T,b,p,b[L*T+d])}}),8105:(function(i){\"use strict\";i.exports=o;var a={\"lo===p0\":s,\"lo<p0\":l,\"lo<=p0\":u,\"hi<=p0\":c,\"lo<p0&&p0<=hi\":h,\"lo<=p0&&p0<=hi\":f,\"!(lo>=p0)&&!(p1>=hi)\":d};function o(v){return a[v]}function s(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g];if(z===T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function l(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g];if(z<T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function u(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+P];if(z<=T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function c(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+P];if(z<=T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function f(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g],q=k[x+P];if(z<=T&&T<=q)if(S===E)S+=1,C+=L;else{for(var V=0;L>V;++V){var G=k[x+V];k[x+V]=k[C],k[C++]=G}var Z=M[E];M[E]=M[S],M[S++]=Z}}return S}function h(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g],q=k[x+P];if(z<T&&T<=q)if(S===E)S+=1,C+=L;else{for(var V=0;L>V;++V){var G=k[x+V];k[x+V]=k[C],k[C++]=G}var Z=M[E];M[E]=M[S],M[S++]=Z}}return S}function d(v,m,b,p,k,M,T,L){for(var x=2*v,C=x*b,S=C,g=b,P=m,E=v+m,z=b;p>z;++z,C+=x){var q=k[C+P],V=k[C+E];if(!(q>=T)&&!(L>=V))if(g===z)g+=1,S+=x;else{for(var G=0;x>G;++G){var Z=k[C+G];k[C+G]=k[S],k[S++]=Z}var j=M[z];M[z]=M[g],M[g++]=j}}return g}}),4192:(function(i){\"use strict\";i.exports=o;var a=32;function o(m,b){b<=4*a?s(0,b-1,m):v(0,b-1,m)}function s(m,b,p){for(var k=2*(m+1),M=m+1;M<=b;++M){for(var T=p[k++],L=p[k++],x=M,C=k-2;x-- >m;){var S=p[C-2],g=p[C-1];if(S<T)break;if(S===T&&g<L)break;p[C]=S,p[C+1]=g,C-=2}p[C]=T,p[C+1]=L}}function l(m,b,p){m*=2,b*=2;var k=p[m],M=p[m+1];p[m]=p[b],p[m+1]=p[b+1],p[b]=k,p[b+1]=M}function u(m,b,p){m*=2,b*=2,p[m]=p[b],p[m+1]=p[b+1]}function c(m,b,p,k){m*=2,b*=2,p*=2;var M=k[m],T=k[m+1];k[m]=k[b],k[m+1]=k[b+1],k[b]=k[p],k[b+1]=k[p+1],k[p]=M,k[p+1]=T}function f(m,b,p,k,M){m*=2,b*=2,M[m]=M[b],M[b]=p,M[m+1]=M[b+1],M[b+1]=k}function h(m,b,p){m*=2,b*=2;var k=p[m],M=p[b];return k<M?!1:k===M?p[m+1]>p[b+1]:!0}function d(m,b,p,k){m*=2;var M=k[m];return M<b?!0:M===b?k[m+1]<p:!1}function v(m,b,p){var k=(b-m+1)/6|0,M=m+k,T=b-k,L=m+b>>1,x=L-k,C=L+k,S=M,g=x,P=L,E=C,z=T,q=m+1,V=b-1,G=0;h(S,g,p)&&(G=S,S=g,g=G),h(E,z,p)&&(G=E,E=z,z=G),h(S,P,p)&&(G=S,S=P,P=G),h(g,P,p)&&(G=g,g=P,P=G),h(S,E,p)&&(G=S,S=E,E=G),h(P,E,p)&&(G=P,P=E,E=G),h(g,z,p)&&(G=g,g=z,z=G),h(g,P,p)&&(G=g,g=P,P=G),h(E,z,p)&&(G=E,E=z,z=G);for(var Z=p[2*g],j=p[2*g+1],N=p[2*E],H=p[2*E+1],re=2*S,ae=2*P,_e=2*z,Ee=2*M,Ce=2*L,ge=2*T,ie=0;ie<2;++ie){var Se=p[re+ie],ke=p[ae+ie],be=p[_e+ie];p[Ee+ie]=Se,p[Ce+ie]=ke,p[ge+ie]=be}u(x,m,p),u(C,b,p);for(var Be=q;Be<=V;++Be)if(d(Be,Z,j,p))Be!==q&&l(Be,q,p),++q;else 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T(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new T,new T,new T];function x(V,G,Z,j,N){for(var H=V.primalOffset,re=V.primalMinor,ae=V.mirrorOffset,_e=V.mirrorMinor,Ee=j[G],Ce=0;Ce<3;++Ce)if(G!==Ce){var ge=H,ie=ae,Se=re,ke=_e;Ee&1<<Ce&&(ge=ae,ie=H,Se=_e,ke=re),ge[Ce]=Z[0][Ce],ie[Ce]=Z[1][Ce],N[Ce]>0?(Se[Ce]=-1,ke[Ce]=0):(Se[Ce]=0,ke[Ce]=1)}}var C=[0,0,0],S={model:h,view:h,projection:h,_ortho:!1};M.isOpaque=function(){return!0},M.isTransparent=function(){return!1},M.drawTransparent=function(V){};var g=0,P=[0,0,0],E=[0,0,0],z=[0,0,0];M.draw=function(V){V=V||S;for(var Le=this.gl,G=V.model||h,Z=V.view||h,j=V.projection||h,N=this.bounds,H=V._ortho||!1,re=c(G,Z,j,N,H),ae=re.cubeEdges,_e=re.axis,Ee=Z[12],Ce=Z[13],ge=Z[14],ie=Z[15],Se=H?2:1,ke=Se*this.pixelRatio*(j[3]*Ee+j[7]*Ce+j[11]*ge+j[15]*ie)/Le.drawingBufferHeight,be=0;be<3;++be)this.lastCubeProps.cubeEdges[be]=ae[be],this.lastCubeProps.axis[be]=_e[be];for(var Be=L,be=0;be<3;++be)x(L[be],be,this.bounds,ae,_e);for(var Le=this.gl,me=C,be=0;be<3;++be)this.backgroundEnable[be]?me[be]=_e[be]:me[be]=0;this._background.draw(G,Z,j,N,me,this.backgroundColor),this._lines.bind(G,Z,j,this);for(var be=0;be<3;++be){var Pe=[0,0,0];_e[be]>0?Pe[be]=N[1][be]:Pe[be]=N[0][be];for(var ce=0;ce<2;++ce){var He=(be+1+ce)%3,lt=(be+1+(ce^1))%3;this.gridEnable[He]&&this._lines.drawGrid(He,lt,this.bounds,Pe,this.gridColor[He],this.gridWidth[He]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var He=(be+1+ce)%3,lt=(be+1+(ce^1))%3;this.zeroEnable[lt]&&Math.min(N[0][lt],N[1][lt])<=0&&Math.max(N[0][lt],N[1][lt])>=0&&this._lines.drawZero(He,lt,this.bounds,Pe,this.zeroLineColor[lt],this.zeroLineWidth[lt]*this.pixelRatio)}}for(var be=0;be<3;++be){this.lineEnable[be]&&this._lines.drawAxisLine(be,this.bounds,Be[be].primalOffset,this.lineColor[be],this.lineWidth[be]*this.pixelRatio),this.lineMirror[be]&&this._lines.drawAxisLine(be,this.bounds,Be[be].mirrorOffset,this.lineColor[be],this.lineWidth[be]*this.pixelRatio);for(var mt=p(P,Be[be].primalMinor),Ht=p(E,Be[be].mirrorMinor),at=this.lineTickLength,ce=0;ce<3;++ce){var ct=ke/G[5*ce];mt[ce]*=at[ce]*ct,Ht[ce]*=at[ce]*ct}this.lineTickEnable[be]&&this._lines.drawAxisTicks(be,Be[be].primalOffset,mt,this.lineTickColor[be],this.lineTickWidth[be]*this.pixelRatio),this.lineTickMirror[be]&&this._lines.drawAxisTicks(be,Be[be].mirrorOffset,Ht,this.lineTickColor[be],this.lineTickWidth[be]*this.pixelRatio)}this._lines.unbind(),this._text.bind(G,Z,j,this.pixelRatio);var ar,Vt=.5,rr,tt;function je(dt){tt=[0,0,0],tt[dt]=1}function Ue(dt,Et,pt){var jt=(dt+1)%3,or=(dt+2)%3,mr=Et[jt],Ar=Et[or],ei=pt[jt],qr=pt[or];if(mr>0&&qr>0){je(jt);return}else if(mr>0&&qr<0){je(jt);return}else if(mr<0&&qr>0){je(jt);return}else if(mr<0&&qr<0){je(jt);return}else if(Ar>0&&ei>0){je(or);return}else if(Ar>0&&ei<0){je(or);return}else if(Ar<0&&ei>0){je(or);return}else if(Ar<0&&ei<0){je(or);return}}for(var be=0;be<3;++be){for(var Ae=Be[be].primalMinor,rt=Be[be].mirrorMinor,St=p(z,Be[be].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[be]&&(St[ce]+=ke*Ae[ce]*Math.max(this.lineTickLength[ce],0)/G[5*ce]);var Tt=[0,0,0];if(Tt[be]=1,this.tickEnable[be]){this.tickAngle[be]===-3600?(this.tickAngle[be]=0,this.tickAlign[be]=\"auto\"):this.tickAlign[be]=-1,rr=1,ar=[this.tickAlign[be],Vt,rr],ar[0]===\"auto\"?ar[0]=g:ar[0]=parseInt(\"\"+ar[0]),tt=[0,0,0],Ue(be,Ae,rt);for(var ce=0;ce<3;++ce)St[ce]+=ke*Ae[ce]*this.tickPad[ce]/G[5*ce];this._text.drawTicks(be,this.tickSize[be],this.tickAngle[be],St,this.tickColor[be],Tt,tt,ar)}if(this.labelEnable[be]){rr=0,tt=[0,0,0],this.labels[be].length>4&&(je(be),rr=1),ar=[this.labelAlign[be],Vt,rr],ar[0]===\"auto\"?ar[0]=g:ar[0]=parseInt(\"\"+ar[0]);for(var ce=0;ce<3;++ce)St[ce]+=ke*Ae[ce]*this.labelPad[ce]/G[5*ce];St[be]+=.5*(N[0][be]+N[1][be]),this._text.drawLabel(be,this.labelSize[be],this.labelAngle[be],St,this.labelColor[be],[0,0,0],tt,ar)}}this._text.unbind()},M.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function q(V,G){var Z=new k(V);return Z.update(G),Z}}),5304:(function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,m,b){this.gl=d,this.buffer=v,this.vao=m,this.shader=b}var f=c.prototype;f.draw=function(d,v,m,b,p,k){for(var M=!1,T=0;T<3;++T)M=M||p[T];if(M){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:m,bounds:b,enable:p,colors:k},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],m=[],b=0,p=0;p<3;++p)for(var k=(p+1)%3,M=(p+2)%3,T=[0,0,0],L=[0,0,0],x=-1;x<=1;x+=2){m.push(b,b+2,b+1,b+1,b+2,b+3),T[p]=x,L[p]=x;for(var C=-1;C<=1;C+=2){T[k]=C;for(var S=-1;S<=1;S+=2)T[M]=S,v.push(T[0],T[1],T[2],L[0],L[1],L[2]),b+=1}var g=k;k=M,M=g}var P=s(d,new Float32Array(v)),E=s(d,new Uint16Array(m),d.ELEMENT_ARRAY_BUFFER),z=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],E),q=u(d);return q.attributes.position.location=0,q.attributes.normal.location=1,new c(d,P,z,q)}}),6429:(function(i,a,o){\"use strict\";i.exports=x;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),m=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,S,g){for(var P=0;P<4;++P){C[P]=g[12+P];for(var E=0;E<3;++E)C[P]+=S[E]*g[4*E+P]}}var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function k(C){for(var S=0;S<p.length;++S)if(C=u.positive(C,p[S]),C.length<3)return 0;for(var g=C[0],P=g[0]/g[3],E=g[1]/g[3],z=0,S=1;S+1<C.length;++S){var q=C[S],V=C[S+1],G=q[0]/q[3],Z=q[1]/q[3],j=V[0]/V[3],N=V[1]/V[3],H=G-P,re=Z-E,ae=j-P,_e=N-E;z+=Math.abs(H*_e-re*ae)}return z}var M=[1,1,1],T=[0,0,0],L={cubeEdges:M,axis:T};function x(C,S,g,P,E){l(f,S,C),l(f,g,f);for(var z=0,q=0;q<2;++q){v[2]=P[q][2];for(var V=0;V<2;++V){v[1]=P[V][1];for(var G=0;G<2;++G)v[0]=P[G][0],b(h[z],v,f),z+=1}}for(var Z=-1,q=0;q<8;++q){for(var j=h[q][3],N=0;N<3;++N)d[q][N]=h[q][N]/j;E&&(d[q][2]*=-1),j<0&&(Z<0||d[q][2]<d[Z][2])&&(Z=q)}if(Z<0){Z=0;for(var H=0;H<3;++H){for(var re=(H+2)%3,ae=(H+1)%3,_e=-1,Ee=-1,Ce=0;Ce<2;++Ce){var ge=Ce<<H,ie=ge+(Ce<<re)+(1-Ce<<ae),Se=ge+(1-Ce<<re)+(Ce<<ae);c(d[ge],d[ie],d[Se],m)<0||(Ce?_e=1:Ee=1)}if(_e<0||Ee<0){Ee>_e&&(Z|=1<<H);continue}for(var Ce=0;Ce<2;++Ce){var ge=Ce<<H,ie=ge+(Ce<<re)+(1-Ce<<ae),Se=ge+(1-Ce<<re)+(Ce<<ae),ke=k([h[ge],h[ie],h[Se],h[ge+(1<<re)+(1<<ae)]]);Ce?_e=ke:Ee=ke}if(Ee>_e){Z|=1<<H;continue}}}for(var be=7^Z,Be=-1,q=0;q<8;++q)q===Z||q===be||(Be<0||d[Be][1]>d[q][1])&&(Be=q);for(var Le=-1,q=0;q<3;++q){var me=Be^1<<q;if(!(me===Z||me===be)){Le<0&&(Le=me);var ae=d[me];ae[0]<d[Le][0]&&(Le=me)}}for(var Pe=-1,q=0;q<3;++q){var me=Be^1<<q;if(!(me===Z||me===be||me===Le)){Pe<0&&(Pe=me);var ae=d[me];ae[0]>d[Pe][0]&&(Pe=me)}}var ce=M;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Le^Be)]=Be&Le,ce[s.log2(Be^Pe)]=Be&Pe;var He=Pe^7;He===Z||He===be?(He=Le^7,ce[s.log2(Pe^He)]=He&Pe):ce[s.log2(Le^He)]=He&Le;for(var lt=T,mt=Z,H=0;H<3;++H)mt&1<<H?lt[H]=-1:lt[H]=1;return L}}),501:(function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(1879).n,c=[0,0,0],f=[0,0,0],h=[0,0,0],d=[0,0,0],v=[1,1];function m(T){return T[0]=T[1]=T[2]=0,T}function b(T,L){return T[0]=L[0],T[1]=L[1],T[2]=L[2],T}function p(T,L,x,C,S,g,P,E){this.gl=T,this.vertBuffer=L,this.vao=x,this.shader=C,this.tickCount=S,this.tickOffset=g,this.gridCount=P,this.gridOffset=E}var k=p.prototype;k.bind=function(T,L,x){this.shader.bind(),this.shader.uniforms.model=T,this.shader.uniforms.view=L,this.shader.uniforms.projection=x,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},k.unbind=function(){this.vao.unbind()},k.drawAxisLine=function(T,L,x,C,S){var g=m(f);this.shader.uniforms.majorAxis=f,g[T]=L[1][T]-L[0][T],this.shader.uniforms.minorAxis=g;var P=b(d,x);P[T]+=L[0][T],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=S,this.shader.uniforms.color=C;var E=m(h);E[(T+2)%3]=1,this.shader.uniforms.screenAxis=E,this.vao.draw(this.gl.TRIANGLES,6);var E=m(h);E[(T+1)%3]=1,this.shader.uniforms.screenAxis=E,this.vao.draw(this.gl.TRIANGLES,6)},k.drawAxisTicks=function(T,L,x,C,S){if(this.tickCount[T]){var g=m(c);g[T]=1,this.shader.uniforms.majorAxis=g,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=x,this.shader.uniforms.color=C,this.shader.uniforms.lineWidth=S;var P=m(h);P[T]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[T],this.tickOffset[T])}},k.drawGrid=function(T,L,x,C,S,g){if(this.gridCount[T]){var P=m(f);P[L]=x[1][L]-x[0][L],this.shader.uniforms.minorAxis=P;var E=b(d,C);E[L]+=x[0][L],this.shader.uniforms.offset=E;var z=m(c);z[T]=1,this.shader.uniforms.majorAxis=z;var q=m(h);q[T]=1,this.shader.uniforms.screenAxis=q,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=S,this.vao.draw(this.gl.TRIANGLES,this.gridCount[T],this.gridOffset[T])}},k.drawZero=function(T,L,x,C,S,g){var P=m(f);this.shader.uniforms.majorAxis=P,P[T]=x[1][T]-x[0][T],this.shader.uniforms.minorAxis=P;var E=b(d,C);E[T]+=x[0][T],this.shader.uniforms.offset=E;var z=m(h);z[L]=1,this.shader.uniforms.screenAxis=z,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=S,this.vao.draw(this.gl.TRIANGLES,6)},k.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function M(T,L,x){var C=[],S=[0,0,0],g=[0,0,0],P=[0,0,0],E=[0,0,0];C.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var z=0;z<3;++z){for(var G=C.length/3|0,q=0;q<x[z].length;++q){var V=+x[z][q].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;S[z]=G,g[z]=j-G;for(var G=C.length/3|0,Z=0;Z<x[z].length;++Z){var V=+x[z][Z].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;P[z]=G,E[z]=j-G}var N=s(T,new Float32Array(C)),H=l(T,[{buffer:N,type:T.FLOAT,size:3,stride:0,offset:0}]),re=u(T);return re.attributes.position.location=0,new p(T,N,H,re,g,S,E,P)}}),1879:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
+       "uniform float lineWidth;\n",
+       "uniform vec2 screenShape;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 major = position.x * majorAxis;\n",
+       "  vec3 minor = position.y * minorAxis;\n",
+       "\n",
+       "  vec3 vPosition = major + minor + offset;\n",
+       "  vec3 pPosition = project(vPosition);\n",
+       "  vec3 offset = project(vPosition + screenAxis * position.z);\n",
+       "\n",
+       "  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.n=function(m){return l(m,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
+       "uniform float scale, angle, pixelScale;\n",
+       "uniform vec2 resolution;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "float computeViewAngle(vec3 a, vec3 b) {\n",
+       "  vec3 A = project(a);\n",
+       "  vec3 B = project(b);\n",
+       "\n",
+       "  return atan(\n",
+       "    (B.y - A.y) * resolution.y,\n",
+       "    (B.x - A.x) * resolution.x\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "const float PI = 3.141592;\n",
+       "const float TWO_PI = 2.0 * PI;\n",
+       "const float HALF_PI = 0.5 * PI;\n",
+       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
+       "\n",
+       "int option = int(floor(alignOpt.x + 0.001));\n",
+       "float hv_ratio =       alignOpt.y;\n",
+       "bool enableAlign =    (alignOpt.z != 0.0);\n",
+       "\n",
+       "float mod_angle(float a) {\n",
+       "  return mod(a, PI);\n",
+       "}\n",
+       "\n",
+       "float positive_angle(float a) {\n",
+       "  return mod_angle((a < 0.0) ?\n",
+       "    a + TWO_PI :\n",
+       "    a\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "float look_upwards(float a) {\n",
+       "  float b = positive_angle(a);\n",
+       "  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n",
+       "    b - PI :\n",
+       "    b;\n",
+       "}\n",
+       "\n",
+       "float look_horizontal_or_vertical(float a, float ratio) {\n",
+       "  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n",
+       "  // if ratio is set to 0.5 then it is 50%, 50%.\n",
+       "  // when using a higher ratio e.g. 0.75 the result would\n",
+       "  // likely be more horizontal than vertical.\n",
+       "\n",
+       "  float b = positive_angle(a);\n",
+       "\n",
+       "  return\n",
+       "    (b < (      ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n",
+       "    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n",
+       "                                    0.0;\n",
+       "}\n",
+       "\n",
+       "float roundTo(float a, float b) {\n",
+       "  return float(b * floor((a + 0.5 * b) / b));\n",
+       "}\n",
+       "\n",
+       "float look_round_n_directions(float a, int n) {\n",
+       "  float b = positive_angle(a);\n",
+       "  float div = TWO_PI / float(n);\n",
+       "  float c = roundTo(b, div);\n",
+       "  return look_upwards(c);\n",
+       "}\n",
+       "\n",
+       "float applyAlignOption(float rawAngle, float delta) {\n",
+       "  return\n",
+       "    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n",
+       "    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n",
+       "    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n",
+       "    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n",
+       "    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n",
+       "                    rawAngle;                // otherwise return back raw input angle\n",
+       "}\n",
+       "\n",
+       "bool isAxisTitle = (axis.x == 0.0) &&\n",
+       "                   (axis.y == 0.0) &&\n",
+       "                   (axis.z == 0.0);\n",
+       "\n",
+       "void main() {\n",
+       "  //Compute world offset\n",
+       "  float axisDistance = position.z;\n",
+       "  vec3 dataPosition = axisDistance * axis + offset;\n",
+       "\n",
+       "  float beta = angle; // i.e. user defined attributes for each tick\n",
+       "\n",
+       "  float axisAngle;\n",
+       "  float clipAngle;\n",
+       "  float flip;\n",
+       "\n",
+       "  if (enableAlign) {\n",
+       "    axisAngle = (isAxisTitle) ? HALF_PI :\n",
+       "                      computeViewAngle(dataPosition, dataPosition + axis);\n",
+       "    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n",
+       "\n",
+       "    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n",
+       "    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n",
+       "\n",
+       "    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n",
+       "                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n",
+       "\n",
+       "    beta += applyAlignOption(clipAngle, flip * PI);\n",
+       "  }\n",
+       "\n",
+       "  //Compute plane offset\n",
+       "  vec2 planeCoord = position.xy * pixelScale;\n",
+       "\n",
+       "  mat2 planeXform = scale * mat2(\n",
+       "     cos(beta), sin(beta),\n",
+       "    -sin(beta), cos(beta)\n",
+       "  );\n",
+       "\n",
+       "  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n",
+       "\n",
+       "  //Compute clip position\n",
+       "  vec3 clipPosition = project(dataPosition);\n",
+       "\n",
+       "  //Apply text offset in clip coordinates\n",
+       "  clipPosition += vec3(viewOffset, 0.0);\n",
+       "\n",
+       "  //Done\n",
+       "  gl_Position = vec4(clipPosition, 1.0);\n",
+       "}\n",
+       "`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.Q=function(m){return l(m,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 enable;\n",
+       "uniform vec3 bounds[2];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "\n",
+       "  vec3 signAxis = sign(bounds[1] - bounds[0]);\n",
+       "\n",
+       "  vec3 realNormal = signAxis * normal;\n",
+       "\n",
+       "  if(dot(realNormal, enable) > 0.0) {\n",
+       "    vec3 minRange = min(bounds[0], bounds[1]);\n",
+       "    vec3 maxRange = max(bounds[0], bounds[1]);\n",
+       "    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n",
+       "    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n",
+       "  } else {\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  }\n",
+       "\n",
+       "  colorChannel = abs(realNormal);\n",
+       "}\n",
+       "`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 colors[3];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = colorChannel.x * colors[0] +\n",
+       "                 colorChannel.y * colors[1] +\n",
+       "                 colorChannel.z * colors[2];\n",
+       "}`]);a.bg=function(m){return l(m,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}}),4935:(function(i,a,o){\"use strict\";i.exports=k;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(M,T,L,x){this.gl=M,this.shader=T,this.buffer=L,this.vao=x,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var m=v.prototype,b=[0,0];m.bind=function(M,T,L,x){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=M,C.view=T,C.projection=L,C.pixelScale=x,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},m.unbind=function(){this.vao.unbind()},m.update=function(M,T,L,x,C){var S=[];function g(H,re,ae,_e,Ee,Ce){var ge=[ae.style,ae.weight,ae.variant,ae.family].join(\"_\"),ie=h[ge];ie||(ie=h[ge]={});var Se=ie[re];Se||(Se=ie[re]=p(re,{triangles:!0,font:ae.family,fontStyle:ae.style,fontWeight:ae.weight,fontVariant:ae.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Ee,styletags:Ce}));for(var ke=(_e||12)/12,be=Se.positions,Be=Se.cells,Le=0,me=Be.length;Le<me;++Le)for(var Pe=Be[Le],ce=2;ce>=0;--ce){var He=be[Pe[ce]];S.push(ke*He[0],-ke*He[1],H)}}for(var P=[0,0,0],E=[0,0,0],z=[0,0,0],q=[0,0,0],V=1.25,G={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},Z=0;Z<3;++Z){z[Z]=S.length/d|0,g(.5*(M[0][Z]+M[1][Z]),T[Z],L[Z],12,V,G),q[Z]=(S.length/d|0)-z[Z],P[Z]=S.length/d|0;for(var j=0;j<x[Z].length;++j)if(x[Z][j].text){var N={family:x[Z][j].font||C[Z].family,style:C[Z].fontStyle||C[Z].style,weight:C[Z].fontWeight||C[Z].weight,variant:C[Z].fontVariant||C[Z].variant};g(x[Z][j].x,x[Z][j].text,N,x[Z][j].fontSize||12,V,G)}E[Z]=(S.length/d|0)-P[Z]}this.buffer.update(S),this.tickOffset=P,this.tickCount=E,this.labelOffset=z,this.labelCount=q},m.drawTicks=function(M,T,L,x,C,S,g,P){this.tickCount[M]&&(this.shader.uniforms.axis=S,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=T,this.shader.uniforms.offset=x,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[M],this.tickOffset[M]))},m.drawLabel=function(M,T,L,x,C,S,g,P){this.labelCount[M]&&(this.shader.uniforms.axis=S,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=T,this.shader.uniforms.offset=x,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[M],this.labelOffset[M]))},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function p(M,T){try{return u(M,T)}catch(L){return console.warn('error vectorizing text:\"'+M+'\" error:',L),{cells:[],positions:[]}}}function k(M,T,L,x,C,S){var g=s(M),P=l(M,[{buffer:g,size:3}]),E=c(M);E.attributes.position.location=0;var z=new v(M,E,g,P);return z.update(T,L,x,C,S),z}}),6444:(function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),m=Math.round(u*c*v),b=m+\"\";if(b.indexOf(\"e\")>=0)return b;var p=m/v,k=m%v;m<0?(p=-Math.ceil(p)|0,k=-k|0):(p=Math.floor(p)|0,k=k|0);var M=\"\"+p;if(m<0&&(M=\"-\"+M),d){for(var T=\"\"+k;T.length<d;)T=\"0\"+T;return M+\".\"+T}else return M}function s(u,c){for(var f=[],h=0;h<3;++h){for(var d=[],v=.5*(u[0][h]+u[1][h]),m=0;m*c[h]<=u[1][h];++m)d.push({x:m*c[h],text:o(c[h],m)});for(var m=-1;m*c[h]>=u[0][h];--m)d.push({x:m*c[h],text:o(c[h],m)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;h<u[f].length;++h){var d=u[f][h],v=c[f][h];if(d.x!==v.x||d.text!==v.text||d.font!==v.font||d.fontColor!==v.fontColor||d.fontSize!==v.fontSize||d.dx!==v.dx||d.dy!==v.dy)return!1}}return!0}}),5445:(function(i,a,o){\"use strict\";i.exports=L;var s=o(5033),l=o(5202),u=o(6429),c=o(6760),f=o(5665),h=o(5352),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),v=new Float32Array(16);function m(x,C,S){this.lo=x,this.hi=C,this.pixelsPerDataUnit=S}var b=[0,0,0,1],p=[0,0,0,1];function k(x,C,S,g,P){for(var E=0;E<3;++E){for(var z=b,q=p,V=0;V<3;++V)q[V]=z[V]=S[V];q[3]=z[3]=1,q[E]+=1,h(q,q,C),q[3]<0&&(x[E]=1/0),z[E]-=1,h(z,z,C),z[3]<0&&(x[E]=1/0);var G=(z[0]/z[3]-q[0]/q[3])*g,Z=(z[1]/z[3]-q[1]/q[3])*P;x[E]=.25*Math.sqrt(G*G+Z*Z)}return x}var M=[new m(1/0,-1/0,1/0),new m(1/0,-1/0,1/0),new m(1/0,-1/0,1/0)],T=[0,0,0];function L(x,C,S,g,Z){var E=C.model||d,z=C.view||d,q=C.projection||d,V=C._ortho||!1,G=x.bounds,Z=Z||u(E,z,q,G,V),j=Z.axis;c(v,z,E),c(v,q,v);for(var N=M,H=0;H<3;++H)N[H].lo=1/0,N[H].hi=-1/0,N[H].pixelsPerDataUnit=1/0;var re=s(f(v,v));f(v,v);for(var ae=0;ae<3;++ae){var _e=(ae+1)%3,Ee=(ae+2)%3,Ce=T;e:for(var H=0;H<2;++H){var ge=[];if(j[ae]<0!=!!H){Ce[ae]=G[H][ae];for(var ie=0;ie<2;++ie){Ce[_e]=G[ie^H][_e];for(var Se=0;Se<2;++Se)Ce[Ee]=G[Se^ie^H][Ee],ge.push(Ce.slice())}for(var ke=V?5:4,ie=ke;ie===ke;++ie){if(ge.length===0)continue e;ge=l.positive(ge,re[ie])}for(var ie=0;ie<ge.length;++ie)for(var Ee=ge[ie],be=k(T,v,Ee,S,g),Se=0;Se<3;++Se)N[Se].lo=Math.min(N[Se].lo,Ee[Se]),N[Se].hi=Math.max(N[Se].hi,Ee[Se]),Se!==ae&&(N[Se].pixelsPerDataUnit=Math.min(N[Se].pixelsPerDataUnit,Math.abs(be[Se])))}}}return N}}),2762:(function(i,a,o){\"use strict\";var s=o(1888),l=o(5298),u=o(9618),c=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function f(p,k,M,T,L){this.gl=p,this.type=k,this.handle=M,this.length=T,this.usage=L}var h=f.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)};function d(p,k,M,T,L,x){var C=L.length*L.BYTES_PER_ELEMENT;if(x<0)return p.bufferData(k,L,T),C;if(C+x>M)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return p.bufferSubData(k,x,L),M}function v(p,k){for(var M=s.malloc(p.length,k),T=p.length,L=0;L<T;++L)M[L]=p[L];return M}function m(p,k){for(var M=1,T=k.length-1;T>=0;--T){if(k[T]!==M)return!1;M*=p[T]}return!0}h.update=function(p,k){if(typeof k!=\"number\"&&(k=-1),this.bind(),typeof p==\"object\"&&typeof p.shape!=\"undefined\"){var M=p.dtype;if(c.indexOf(M)<0&&(M=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var T=gl.getExtension(\"OES_element_index_uint\");T&&M!==\"uint16\"?M=\"uint32\":M=\"uint16\"}if(M===p.dtype&&m(p.shape,p.stride))p.offset===0&&p.data.length===p.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,p.data,k):this.length=d(this.gl,this.type,this.length,this.usage,p.data.subarray(p.offset,p.shape[0]),k);else{var L=s.malloc(p.size,M),x=u(L,p.shape);l.assign(x,p),k<0?this.length=d(this.gl,this.type,this.length,this.usage,L,k):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,p.size),k),s.free(L)}}else if(Array.isArray(p)){var C;this.type===this.gl.ELEMENT_ARRAY_BUFFER?C=v(p,\"uint16\"):C=v(p,\"float32\"),k<0?this.length=d(this.gl,this.type,this.length,this.usage,C,k):this.length=d(this.gl,this.type,this.length,this.usage,C.subarray(0,p.length),k),s.free(C)}else if(typeof p==\"object\"&&typeof p.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,p,k);else if(typeof p==\"number\"||p===void 0){if(k>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");p=p|0,p<=0&&(p=1),this.gl.bufferData(this.type,p|0,this.usage),this.length=p}else throw new Error(\"gl-buffer: Invalid data type\")};function b(p,k,M,T){if(M=M||p.ARRAY_BUFFER,T=T||p.DYNAMIC_DRAW,M!==p.ARRAY_BUFFER&&M!==p.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(T!==p.DYNAMIC_DRAW&&T!==p.STATIC_DRAW&&T!==p.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var L=p.createBuffer(),x=new f(p,M,L,0,T);return x.update(k),x}i.exports=b}),6405:(function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,m=1/0,b=-1/0,p=1/0,k=-1/0,M=1/0,T=-1/0,L=null,x=null,C=[],S=1/0,g=!1,P=u.coneSizemode===\"raw\",E=0;E<f.length;E++){var z=f[E];m=Math.min(z[0],m),b=Math.max(z[0],b),p=Math.min(z[1],p),k=Math.max(z[1],k),M=Math.min(z[2],M),T=Math.max(z[2],T);var q=h[E];if(s.length(q)>v&&(v=s.length(q)),E&&!P){var V=2*s.distance(L,z)/(s.length(x)+s.length(q));V?(S=Math.min(S,V),g=!1):g=!0}g||(L=z,x=q),C.push(q)}var G=[m,p,M],Z=[b,k,T];c&&(c[0]=G,c[1]=Z),v===0&&(v=1);var j=1/v;isFinite(S)||(S=1),d.vectorScale=S;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*j),d.coneScale=N;for(var E=0,H=0;E<f.length;E++)for(var z=f[E],re=z[0],ae=z[1],_e=z[2],Ee=C[E],Ce=s.length(Ee)*j,ge=0,ie=8;ge<ie;ge++){d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vertexIntensity.push(Ce,Ce,Ce),d.vertexIntensity.push(Ce,Ce,Ce);var Se=d.positions.length;d.cells.push([Se-6,Se-5,Se-4],[Se-3,Se-2,Se-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}}),9060:(function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(C,S,g,P,E,z,q,V,G,Z,j){this.gl=C,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=S,this.dirty=!0,this.triShader=g,this.pickShader=P,this.trianglePositions=E,this.triangleVectors=z,this.triangleColors=V,this.triangleUVs=G,this.triangleIds=q,this.triangleVAO=Z,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=j,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var p=b.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(C){this.pickId=C};function k(C){for(var S=v({colormap:C,nshades:256,format:\"rgba\"}),g=new Uint8Array(256*4),P=0;P<256;++P){for(var E=S[P],z=0;z<3;++z)g[4*P+z]=E[z];g[4*P+3]=E[3]*255}return d(g,[256,256,4],[4,0,1])}function M(C){for(var S=C.length,g=new Array(S),P=0;P<S;++P)g[P]=C[P][2];return g}p.update=function(C){C=C||{};var S=this.gl;this.dirty=!0,\"lightPosition\"in C&&(this.lightPosition=C.lightPosition),\"opacity\"in C&&(this.opacity=C.opacity),\"ambient\"in C&&(this.ambientLight=C.ambient),\"diffuse\"in C&&(this.diffuseLight=C.diffuse),\"specular\"in C&&(this.specularLight=C.specular),\"roughness\"in C&&(this.roughness=C.roughness),\"fresnel\"in C&&(this.fresnel=C.fresnel),C.tubeScale!==void 0&&(this.tubeScale=C.tubeScale),C.vectorScale!==void 0&&(this.vectorScale=C.vectorScale),C.coneScale!==void 0&&(this.coneScale=C.coneScale),C.coneOffset!==void 0&&(this.coneOffset=C.coneOffset),C.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=S.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=S.LINEAR,this.texture.setPixels(k(C.colormap)),this.texture.generateMipmap());var g=C.cells,P=C.positions,E=C.vectors;if(!(!P||!g||!E)){var z=[],q=[],V=[],G=[],Z=[];this.cells=g,this.positions=P,this.vectors=E;var j=C.meshColor||[1,1,1,1],N=C.vertexIntensity,H=1/0,re=-1/0;if(N)if(C.vertexIntensityBounds)H=+C.vertexIntensityBounds[0],re=+C.vertexIntensityBounds[1];else for(var ae=0;ae<N.length;++ae){var _e=N[ae];H=Math.min(H,_e),re=Math.max(re,_e)}else for(var ae=0;ae<P.length;++ae){var _e=P[ae][2];H=Math.min(H,_e),re=Math.max(re,_e)}N?this.intensity=N:this.intensity=M(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var ae=0;ae<P.length;++ae)for(var Ee=P[ae],Ce=0;Ce<3;++Ce)isNaN(Ee[Ce])||!isFinite(Ee[Ce])||(this.bounds[0][Ce]=Math.min(this.bounds[0][Ce],Ee[Ce]),this.bounds[1][Ce]=Math.max(this.bounds[1][Ce],Ee[Ce]));var ge=0;e:for(var ae=0;ae<g.length;++ae){var ie=g[ae];switch(ie.length){case 3:for(var Ce=0;Ce<3;++Ce)for(var Se=ie[Ce],Ee=P[Se],ke=0;ke<3;++ke)if(isNaN(Ee[ke])||!isFinite(Ee[ke]))continue e;for(var Ce=0;Ce<3;++Ce){var Se=ie[2-Ce],Ee=P[Se];z.push(Ee[0],Ee[1],Ee[2],Ee[3]);var be=E[Se];q.push(be[0],be[1],be[2],be[3]||0);var Be=j;Be.length===3?V.push(Be[0],Be[1],Be[2],1):V.push(Be[0],Be[1],Be[2],Be[3]);var Le;N?Le=[(N[Se]-H)/(re-H),0]:Le=[(Ee[2]-H)/(re-H),0],G.push(Le[0],Le[1]),Z.push(ae)}ge+=1;break;default:break}}this.triangleCount=ge,this.trianglePositions.update(z),this.triangleVectors.update(q),this.triangleColors.update(V),this.triangleUVs.update(G),this.triangleIds.update(new Uint32Array(Z))}},p.drawTransparent=p.draw=function(C){C=C||{};for(var S=this.gl,g=C.model||m,P=C.view||m,E=C.projection||m,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)z[0][q]=Math.max(z[0][q],this.clipBounds[0][q]),z[1][q]=Math.min(z[1][q],this.clipBounds[1][q]);var V={model:g,view:P,projection:E,inverseModel:m.slice(),clipBounds:z,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};V.inverseModel=h(V.inverseModel,V.model),S.disable(S.CULL_FACE),this.texture.bind(0);var G=new Array(16);f(G,V.view,V.model),f(G,V.projection,G),h(G,G);for(var q=0;q<3;++q)V.eyePosition[q]=G[12+q]/G[15];for(var Z=G[15],q=0;q<3;++q)Z+=this.lightPosition[q]*G[4*q+3];for(var q=0;q<3;++q){for(var j=G[12+q],N=0;N<3;++N)j+=G[4*N+q]*this.lightPosition[N];V.lightPosition[q]=j/Z}if(this.triangleCount>0){var H=this.triShader;H.bind(),H.uniforms=V,this.triangleVAO.bind(),S.drawArrays(S.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},p.drawPick=function(C){C=C||{};for(var S=this.gl,g=C.model||m,P=C.view||m,E=C.projection||m,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)z[0][q]=Math.max(z[0][q],this.clipBounds[0][q]),z[1][q]=Math.min(z[1][q],this.clipBounds[1][q]);this._model=[].slice.call(g),this._view=[].slice.call(P),this._projection=[].slice.call(E),this._resolution=[S.drawingBufferWidth,S.drawingBufferHeight];var V={model:g,view:P,projection:E,clipBounds:z,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},G=this.pickShader;G.bind(),G.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),S.drawArrays(S.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},p.pick=function(C){if(!C||C.id!==this.pickId)return null;var S=C.value[0]+256*C.value[1]+65536*C.value[2],g=this.cells[S],P=this.positions[g[1]].slice(0,3),E={position:P,dataCoordinate:P,index:Math.floor(g[1]/48)};return this.traceType===\"cone\"?E.index=Math.floor(g[1]/48):this.traceType===\"streamtube\"&&(E.intensity=this.intensity[g[1]],E.velocity=this.vectors[g[1]].slice(0,3),E.divergence=this.vectors[g[1]][3],E.index=S),E},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function T(C,S){var g=s(C,S.meshShader.vertex,S.meshShader.fragment,null,S.meshShader.attributes);return g.attributes.position.location=0,g.attributes.color.location=2,g.attributes.uv.location=3,g.attributes.vector.location=4,g}function L(C,S){var g=s(C,S.pickShader.vertex,S.pickShader.fragment,null,S.pickShader.attributes);return g.attributes.position.location=0,g.attributes.id.location=1,g.attributes.vector.location=4,g}function x(C,S,g){var P=g.shaders;arguments.length===1&&(S=C,C=S.gl);var E=T(C,P),z=L(C,P),q=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));q.generateMipmap(),q.minFilter=C.LINEAR_MIPMAP_LINEAR,q.magFilter=C.LINEAR;var V=l(C),G=l(C),Z=l(C),j=l(C),N=l(C),H=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Z,type:C.FLOAT,size:4},{buffer:j,type:C.FLOAT,size:2},{buffer:G,type:C.FLOAT,size:4}]),re=new b(C,q,E,z,V,G,N,Z,j,H,g.traceType||\"cone\");return re.update(S),re}i.exports=x}),614:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec3 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * conePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(conePosition, 1.0);\n",
+       "  vec4 t_position  = view * conePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = conePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "  gl_Position = projection * (view * conePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}}),737:(function(i){i.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}}),5171:(function(i,a,o){var s=o(737);i.exports=function(u){return s[u]}}),9165:(function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,M,T){this.gl=p,this.shader=T,this.buffer=k,this.vao=M,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(p){var k=this.gl,M=this.shader.uniforms;this.shader.bind();var T=M.view=p.view||c,L=M.projection=p.projection||c;M.model=p.model||c,M.clipBounds=this.clipBounds,M.opacity=this.opacity;var x=T[12],C=T[13],S=T[14],g=T[15],P=p._ortho||!1,E=P?2:1,z=E*this.pixelRatio*(L[3]*x+L[7]*C+L[11]*S+L[15]*g)/k.drawingBufferHeight;this.vao.bind();for(var q=0;q<3;++q)k.lineWidth(this.lineWidth[q]*this.pixelRatio),M.capSize=this.capSize[q]*z,this.lineCount[q]&&k.drawArrays(k.LINES,this.lineOffset[q],this.lineCount[q]);this.vao.unbind()};function d(p,k){for(var M=0;M<3;++M)p[0][M]=Math.min(p[0][M],k[M]),p[1][M]=Math.max(p[1][M],k[M])}var v=(function(){for(var p=new Array(3),k=0;k<3;++k){for(var M=[],T=1;T<=2;++T)for(var L=-1;L<=1;L+=2){var x=(T+k)%3,C=[0,0,0];C[x]=L,M.push(C)}p[k]=M}return p})();function m(p,k,M,T){for(var L=v[T],x=0;x<L.length;++x){var C=L[x];p.push(k[0],k[1],k[2],M[0],M[1],M[2],M[3],C[0],C[1],C[2])}return L.length}h.update=function(p){p=p||{},\"lineWidth\"in p&&(this.lineWidth=p.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in p&&(this.capSize=p.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var k=p.color||[[0,0,0],[0,0,0],[0,0,0]],M=p.position,T=p.error;if(Array.isArray(k[0])||(k=[k,k,k]),M&&T){var L=[],x=M.length,C=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var S=0;S<3;++S){this.lineOffset[S]=C;e:for(var g=0;g<x;++g){for(var P=M[g],E=0;E<3;++E)if(isNaN(P[E])||!isFinite(P[E]))continue e;var z=T[g],q=k[S];if(Array.isArray(q[0])&&(q=k[g]),q.length===3?q=[q[0],q[1],q[2],1]:q.length===4&&(q=[q[0],q[1],q[2],q[3]],!this.hasAlpha&&q[3]<1&&(this.hasAlpha=!0)),!(isNaN(z[0][S])||isNaN(z[1][S]))){if(z[0][S]<0){var V=P.slice();V[S]+=z[0][S],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+m(L,V,q,S)}if(z[1][S]>0){var V=P.slice();V[S]+=z[1][S],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+m(L,V,q,S)}}}this.lineCount[S]=C-this.lineOffset[S]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(p){var k=p.gl,M=s(k),T=l(k,[{buffer:M,type:k.FLOAT,size:3,offset:0,stride:40},{buffer:M,type:k.FLOAT,size:4,offset:12,stride:40},{buffer:M,type:k.FLOAT,size:3,offset:28,stride:40}]),L=u(k);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var x=new f(k,M,T,L);return x.update(p),x}}),3436:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, offset;\n",
+       "attribute vec4 color;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float capSize;\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 fragPosition;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
+       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
+       "  gl_Position         = projection * (view * worldPosition);\n",
+       "  fragColor           = color;\n",
+       "  fragPosition        = position;\n",
+       "}`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float opacity;\n",
+       "varying vec3 fragPosition;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  gl_FragColor = opacity * fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}}),2260:(function(i,a,o){\"use strict\";var s=o(7766);i.exports=C;var l=null,u,c,f,h;function d(S){var g=S.getParameter(S.FRAMEBUFFER_BINDING),P=S.getParameter(S.RENDERBUFFER_BINDING),E=S.getParameter(S.TEXTURE_BINDING_2D);return[g,P,E]}function v(S,g){S.bindFramebuffer(S.FRAMEBUFFER,g[0]),S.bindRenderbuffer(S.RENDERBUFFER,g[1]),S.bindTexture(S.TEXTURE_2D,g[2])}function m(S,g){var P=S.getParameter(g.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var E=0;E<=P;++E){for(var z=new Array(P),q=0;q<E;++q)z[q]=S.COLOR_ATTACHMENT0+q;for(var q=E;q<P;++q)z[q]=S.NONE;l[E]=z}}function b(S){switch(S){case u:throw new Error(\"gl-fbo: Framebuffer unsupported\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case f:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case h:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function p(S,g,P,E,z,q){if(!E)return null;var V=s(S,g,P,z,E);return V.magFilter=S.NEAREST,V.minFilter=S.NEAREST,V.mipSamples=1,V.bind(),S.framebufferTexture2D(S.FRAMEBUFFER,q,S.TEXTURE_2D,V.handle,0),V}function k(S,g,P,E,z){var q=S.createRenderbuffer();return S.bindRenderbuffer(S.RENDERBUFFER,q),S.renderbufferStorage(S.RENDERBUFFER,E,g,P),S.framebufferRenderbuffer(S.FRAMEBUFFER,z,S.RENDERBUFFER,q),q}function M(S){var g=d(S.gl),P=S.gl,E=S.handle=P.createFramebuffer(),z=S._shape[0],q=S._shape[1],V=S.color.length,G=S._ext,Z=S._useStencil,j=S._useDepth,N=S._colorType;P.bindFramebuffer(P.FRAMEBUFFER,E);for(var H=0;H<V;++H)S.color[H]=p(P,z,q,N,P.RGBA,P.COLOR_ATTACHMENT0+H);V===0?(S._color_rb=k(P,z,q,P.RGBA4,P.COLOR_ATTACHMENT0),G&&G.drawBuffersWEBGL(l[0])):V>1&&G.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?Z?S.depth=p(P,z,q,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):j&&(S.depth=p(P,z,q,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):j&&Z?S._depth_rb=k(P,z,q,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):j?S._depth_rb=k(P,z,q,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):Z&&(S._depth_rb=k(P,z,q,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var ae=P.checkFramebufferStatus(P.FRAMEBUFFER);if(ae!==P.FRAMEBUFFER_COMPLETE){S._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(S.handle),S.handle=null,S.depth&&(S.depth.dispose(),S.depth=null),S._depth_rb&&(P.deleteRenderbuffer(S._depth_rb),S._depth_rb=null);for(var H=0;H<S.color.length;++H)S.color[H].dispose(),S.color[H]=null;S._color_rb&&(P.deleteRenderbuffer(S._color_rb),S._color_rb=null),v(P,g),b(ae)}v(P,g)}function T(S,g,P,E,z,q,V,G){this.gl=S,this._shape=[g|0,P|0],this._destroyed=!1,this._ext=G,this.color=new Array(z);for(var Z=0;Z<z;++Z)this.color[Z]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=E,this._useDepth=q,this._useStencil=V;var j=this,N=[g|0,P|0];Object.defineProperties(N,{0:{get:function(){return j._shape[0]},set:function(H){return j.width=H}},1:{get:function(){return j._shape[1]},set:function(H){return j.height=H}}}),this._shapeVector=N,M(this)}var L=T.prototype;function x(S,g,P){if(S._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(S._shape[0]===g&&S._shape[1]===P)){var E=S.gl,z=E.getParameter(E.MAX_RENDERBUFFER_SIZE);if(g<0||g>z||P<0||P>z)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");S._shape[0]=g,S._shape[1]=P;for(var q=d(E),V=0;V<S.color.length;++V)S.color[V].shape=S._shape;S._color_rb&&(E.bindRenderbuffer(E.RENDERBUFFER,S._color_rb),E.renderbufferStorage(E.RENDERBUFFER,E.RGBA4,S._shape[0],S._shape[1])),S.depth&&(S.depth.shape=S._shape),S._depth_rb&&(E.bindRenderbuffer(E.RENDERBUFFER,S._depth_rb),S._useDepth&&S._useStencil?E.renderbufferStorage(E.RENDERBUFFER,E.DEPTH_STENCIL,S._shape[0],S._shape[1]):S._useDepth?E.renderbufferStorage(E.RENDERBUFFER,E.DEPTH_COMPONENT16,S._shape[0],S._shape[1]):S._useStencil&&E.renderbufferStorage(E.RENDERBUFFER,E.STENCIL_INDEX,S._shape[0],S._shape[1])),E.bindFramebuffer(E.FRAMEBUFFER,S.handle);var G=E.checkFramebufferStatus(E.FRAMEBUFFER);G!==E.FRAMEBUFFER_COMPLETE&&(S.dispose(),v(E,q),b(G)),v(E,q)}}Object.defineProperties(L,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(S){if(Array.isArray(S)||(S=[S|0,S|0]),S.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var g=S[0]|0,P=S[1]|0;return x(this,g,P),[g,P]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(S){return S=S|0,x(this,S,this._shape[1]),S},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(S){return S=S|0,x(this,this._shape[0],S),S},enumerable:!1}}),L.bind=function(){if(!this._destroyed){var S=this.gl;S.bindFramebuffer(S.FRAMEBUFFER,this.handle),S.viewport(0,0,this._shape[0],this._shape[1])}},L.dispose=function(){if(!this._destroyed){this._destroyed=!0;var S=this.gl;S.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(S.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var g=0;g<this.color.length;++g)this.color[g].dispose(),this.color[g]=null;this._color_rb&&(S.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function C(S,g,P,E){u||(u=S.FRAMEBUFFER_UNSUPPORTED,c=S.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,f=S.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,h=S.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var z=S.getExtension(\"WEBGL_draw_buffers\");if(!l&&z&&m(S,z),Array.isArray(g)&&(E=P,P=g[1]|0,g=g[0]|0),typeof g!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var q=S.getParameter(S.MAX_RENDERBUFFER_SIZE);if(g<0||g>q||P<0||P>q)throw new Error(\"gl-fbo: Parameters are too large for FBO\");E=E||{};var V=1;if(\"color\"in E){if(V=Math.max(E.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(z){if(V>S.getParameter(z.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var G=S.UNSIGNED_BYTE,Z=S.getExtension(\"OES_texture_float\");if(E.float&&V>0){if(!Z)throw new Error(\"gl-fbo: Context does not support floating point textures\");G=S.FLOAT}else E.preferFloat&&V>0&&Z&&(G=S.FLOAT);var j=!0;\"depth\"in E&&(j=!!E.depth);var N=!1;return\"stencil\"in E&&(N=!!E.stencil),new T(S,g,P,G,V,j,N,z)}}),2992:(function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var m=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var p=s(`Error compiling %s shader %s:\n",
+       "`,b,m),k=s(\"%s%s\",p,h),M=h.split(`\n",
+       "`),T={},L=0;L<M.length;L++){var x=M[L];if(!(x===\"\"||x===\"\\0\")){var C=parseInt(x.split(\":\")[2]);if(isNaN(C))throw new Error(s(\"Could not parse error: %s\",x));T[C]=x}}for(var S=c(d).split(`\n",
+       "`),L=0;L<S.length;L++)if(!(!T[L+3]&&!T[L+2]&&!T[L+1])){var g=S[L];if(p+=g+`\n",
+       "`,T[L+1]){var P=T[L+1];P=P.substr(P.split(\":\",3).join(\":\").length+1).trim(),p+=s(`^^^ %s\n",
+       "\n",
+       "`,P)}}return{long:p.trim(),short:k.trim()}}}),7319:(function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, nextPosition;\n",
+       "attribute float arcLength, lineWidth;\n",
+       "attribute vec4 color;\n",
+       "\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float pixelRatio;\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 startPoint = project(position);\n",
+       "  vec4 endPoint   = project(nextPosition);\n",
+       "\n",
+       "  vec2 A = startPoint.xy / startPoint.w;\n",
+       "  vec2 B =   endPoint.xy /   endPoint.w;\n",
+       "\n",
+       "  float clipAngle = atan(\n",
+       "    (B.y - A.y) * screenShape.y,\n",
+       "    (B.x - A.x) * screenShape.x\n",
+       "  );\n",
+       "\n",
+       "  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n",
+       "    sin(clipAngle),\n",
+       "    -cos(clipAngle)\n",
+       "  ) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n",
+       "\n",
+       "  worldPosition = position;\n",
+       "  pixelArcLength = arcLength;\n",
+       "  fragColor = color;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3      clipBounds[2];\n",
+       "uniform sampler2D dashTexture;\n",
+       "uniform float     dashScale;\n",
+       "uniform float     opacity;\n",
+       "\n",
+       "varying vec3    worldPosition;\n",
+       "varying float   pixelArcLength;\n",
+       "varying vec4    fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n",
+       "  if(dashWeight < 0.5) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = fragColor * opacity;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "#define FLOAT_MAX  1.70141184e38\n",
+       "#define FLOAT_MIN  1.17549435e-38\n",
+       "\n",
+       "// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\n",
+       "vec4 packFloat(float v) {\n",
+       "  float av = abs(v);\n",
+       "\n",
+       "  //Handle special cases\n",
+       "  if(av < FLOAT_MIN) {\n",
+       "    return vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else if(v > FLOAT_MAX) {\n",
+       "    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  } else if(v < -FLOAT_MAX) {\n",
+       "    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  }\n",
+       "\n",
+       "  vec4 c = vec4(0,0,0,0);\n",
+       "\n",
+       "  //Compute exponent and mantissa\n",
+       "  float e = floor(log2(av));\n",
+       "  float m = av * pow(2.0, -e) - 1.0;\n",
+       "\n",
+       "  //Unpack mantissa\n",
+       "  c[1] = floor(128.0 * m);\n",
+       "  m -= c[1] / 128.0;\n",
+       "  c[2] = floor(32768.0 * m);\n",
+       "  m -= c[2] / 32768.0;\n",
+       "  c[3] = floor(8388608.0 * m);\n",
+       "\n",
+       "  //Unpack exponent\n",
+       "  float ebias = e + 127.0;\n",
+       "  c[0] = floor(ebias / 2.0);\n",
+       "  ebias -= c[0] * 2.0;\n",
+       "  c[1] += floor(ebias) * 128.0;\n",
+       "\n",
+       "  //Unpack sign bit\n",
+       "  c[0] += 128.0 * step(0.0, -v);\n",
+       "\n",
+       "  //Scale back to range\n",
+       "  return c / 255.0;\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform float pickId;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
+       "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}}),5714:(function(i,a,o){\"use strict\";i.exports=S;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(g,P,E,z){return c[0]=z,c[1]=E,c[2]=P,c[3]=g,f[0]}var d=o(2478),v=o(9618),m=o(7319),b=m.createShader,p=m.createPickShader,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function M(g,P){for(var E=0,z=0;z<3;++z){var q=g[z]-P[z];E+=q*q}return Math.sqrt(E)}function T(g){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],E=0;E<3;++E)P[0][E]=Math.max(g[0][E],P[0][E]),P[1][E]=Math.min(g[1][E],P[1][E]);return P}function L(g,P,E,z){this.arcLength=g,this.position=P,this.index=E,this.dataCoordinate=z}function x(g,P,E,z,q,V){this.gl=g,this.shader=P,this.pickShader=E,this.buffer=z,this.vao=q,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var C=x.prototype;C.isTransparent=function(){return this.hasAlpha},C.isOpaque=function(){return!this.hasAlpha},C.pickSlots=1,C.setPickBase=function(g){this.pickId=g},C.drawTransparent=C.draw=function(g){if(this.vertexCount){var P=this.gl,E=this.shader,z=this.vao;E.bind(),E.uniforms={model:g.model||k,view:g.view||k,projection:g.projection||k,clipBounds:T(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},C.drawPick=function(g){if(this.vertexCount){var P=this.gl,E=this.pickShader,z=this.vao;E.bind(),E.uniforms={model:g.model||k,view:g.view||k,projection:g.projection||k,pickId:this.pickId,clipBounds:T(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},C.update=function(g){var P,E;this.dirty=!0;var z=!!g.connectGaps;\"dashScale\"in g&&(this.dashScale=g.dashScale),this.hasAlpha=!1,\"opacity\"in g&&(this.opacity=+g.opacity,this.opacity<1&&(this.hasAlpha=!0));var q=[],V=[],G=[],Z=0,j=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=g.position||g.positions;if(H){var re=g.color||g.colors||[0,0,0,1],ae=g.lineWidth||1,_e=!1;e:for(P=1;P<H.length;++P){var Ee=H[P-1],Ce=H[P];for(V.push(Z),G.push(Ee.slice()),E=0;E<3;++E){if(isNaN(Ee[E])||isNaN(Ce[E])||!isFinite(Ee[E])||!isFinite(Ce[E])){if(!z&&q.length>0){for(var ge=0;ge<24;++ge)q.push(q[q.length-12]);j+=2,_e=!0}continue e}N[0][E]=Math.min(N[0][E],Ee[E],Ce[E]),N[1][E]=Math.max(N[1][E],Ee[E],Ce[E])}var ie,Se;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Se=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Se=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Se.length===3&&(Se=[Se[0],Se[1],Se[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var ke;Array.isArray(ae)?ke=ae.length>P-1?ae[P-1]:ae.length>0?ae[ae.length-1]:[0,0,0,1]:ke=ae;var be=Z;if(Z+=M(Ee,Ce),_e){for(E=0;E<2;++E)q.push(Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,ke,ie[0],ie[1],ie[2],ie[3]);j+=2,_e=!1}q.push(Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,ke,ie[0],ie[1],ie[2],ie[3],Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,-ke,ie[0],ie[1],ie[2],ie[3],Ce[0],Ce[1],Ce[2],Ee[0],Ee[1],Ee[2],Z,-ke,Se[0],Se[1],Se[2],Se[3],Ce[0],Ce[1],Ce[2],Ee[0],Ee[1],Ee[2],Z,ke,Se[0],Se[1],Se[2],Se[3]),j+=4}}if(this.buffer.update(q),V.push(Z),G.push(H[H.length-1].slice()),this.bounds=N,this.vertexCount=j,this.points=G,this.arcLength=V,\"dashes\"in g){var Be=g.dashes,Le=Be.slice();for(Le.unshift(0),P=1;P<Le.length;++P)Le[P]=Le[P-1]+Le[P];var me=v(new Array(256*4),[256,1,4]);for(P=0;P<256;++P){for(E=0;E<4;++E)me.set(P,0,E,0);d.le(Le,Le[Le.length-1]*P/255)&1?me.set(P,0,0,0):me.set(P,0,0,255)}this.texture.setPixels(me)}},C.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},C.pick=function(g){if(!g||g.id!==this.pickId)return null;var P=h(g.value[0],g.value[1],g.value[2],0),E=d.le(this.arcLength,P);if(E<0)return null;if(E===this.arcLength.length-1)return new L(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),E);for(var z=this.points[E],q=this.points[Math.min(E+1,this.points.length-1)],V=(P-this.arcLength[E])/(this.arcLength[E+1]-this.arcLength[E]),G=1-V,Z=[0,0,0],j=0;j<3;++j)Z[j]=G*z[j]+V*q[j];var N=Math.min(V<.5?E:E+1,this.points.length-1);return new L(P,Z,N,this.points[N])};function S(g){var P=g.gl||g.scene&&g.scene.gl,E=b(P);E.attributes.position.location=0,E.attributes.nextPosition.location=1,E.attributes.arcLength.location=2,E.attributes.lineWidth.location=3,E.attributes.color.location=4;var z=p(P);z.attributes.position.location=0,z.attributes.nextPosition.location=1,z.attributes.arcLength.location=2,z.attributes.lineWidth.location=3,z.attributes.color.location=4;for(var q=s(P),V=l(P,[{buffer:q,size:3,offset:0,stride:48},{buffer:q,size:3,offset:12,stride:48},{buffer:q,size:1,offset:24,stride:48},{buffer:q,size:1,offset:28,stride:48},{buffer:q,size:4,offset:32,stride:48}]),G=v(new Array(256*4),[256,1,4]),Z=0;Z<1024;++Z)G.data[Z]=255;var j=u(P,G);j.wrap=P.REPEAT;var N=new x(P,E,z,q,V,j);return N.update(g),N}}),1903:(function(i){i.exports=a;function a(o){var s=new Float32Array(16);return s[0]=o[0],s[1]=o[1],s[2]=o[2],s[3]=o[3],s[4]=o[4],s[5]=o[5],s[6]=o[6],s[7]=o[7],s[8]=o[8],s[9]=o[9],s[10]=o[10],s[11]=o[11],s[12]=o[12],s[13]=o[13],s[14]=o[14],s[15]=o[15],s}}),6864:(function(i){i.exports=a;function a(){var o=new Float32Array(16);return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),9921:(function(i){i.exports=a;function a(o){var s=o[0],l=o[1],u=o[2],c=o[3],f=o[4],h=o[5],d=o[6],v=o[7],m=o[8],b=o[9],p=o[10],k=o[11],M=o[12],T=o[13],L=o[14],x=o[15],C=s*h-l*f,S=s*d-u*f,g=s*v-c*f,P=l*d-u*h,E=l*v-c*h,z=u*v-c*d,q=m*T-b*M,V=m*L-p*M,G=m*x-k*M,Z=b*L-p*T,j=b*x-k*T,N=p*x-k*L;return C*N-S*j+g*Z+P*G-E*V+z*q}}),7399:(function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=l+l,d=u+u,v=c+c,m=l*h,b=u*h,p=u*d,k=c*h,M=c*d,T=c*v,L=f*h,x=f*d,C=f*v;return o[0]=1-p-T,o[1]=b+C,o[2]=k-x,o[3]=0,o[4]=b-C,o[5]=1-m-T,o[6]=M+L,o[7]=0,o[8]=k+x,o[9]=M-L,o[10]=1-m-p,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),6743:(function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=u+u,v=c+c,m=f+f,b=u*d,p=u*v,k=u*m,M=c*v,T=c*m,L=f*m,x=h*d,C=h*v,S=h*m;return o[0]=1-(M+L),o[1]=p+S,o[2]=k-C,o[3]=0,o[4]=p-S,o[5]=1-(b+L),o[6]=T+x,o[7]=0,o[8]=k+C,o[9]=T-x,o[10]=1-(b+M),o[11]=0,o[12]=l[0],o[13]=l[1],o[14]=l[2],o[15]=1,o}}),7894:(function(i){i.exports=a;function a(o){return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),7608:(function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=s[4],d=s[5],v=s[6],m=s[7],b=s[8],p=s[9],k=s[10],M=s[11],T=s[12],L=s[13],x=s[14],C=s[15],S=l*d-u*h,g=l*v-c*h,P=l*m-f*h,E=u*v-c*d,z=u*m-f*d,q=c*m-f*v,V=b*L-p*T,G=b*x-k*T,Z=b*C-M*T,j=p*x-k*L,N=p*C-M*L,H=k*C-M*x,re=S*H-g*N+P*j+E*Z-z*G+q*V;return re?(re=1/re,o[0]=(d*H-v*N+m*j)*re,o[1]=(c*N-u*H-f*j)*re,o[2]=(L*q-x*z+C*E)*re,o[3]=(k*z-p*q-M*E)*re,o[4]=(v*Z-h*H-m*G)*re,o[5]=(l*H-c*Z+f*G)*re,o[6]=(x*P-T*q-C*g)*re,o[7]=(b*q-k*P+M*g)*re,o[8]=(h*N-d*Z+m*V)*re,o[9]=(u*Z-l*N-f*V)*re,o[10]=(T*z-L*P+C*S)*re,o[11]=(p*P-b*z-M*S)*re,o[12]=(d*G-h*j-v*V)*re,o[13]=(l*j-u*G+c*V)*re,o[14]=(L*g-T*E-x*S)*re,o[15]=(b*E-p*g+k*S)*re,o):null}}),6582:(function(i,a,o){var s=o(7894);i.exports=l;function l(u,c,f,h){var d,v,m,b,p,k,M,T,L,x,C=c[0],S=c[1],g=c[2],P=h[0],E=h[1],z=h[2],q=f[0],V=f[1],G=f[2];return Math.abs(C-q)<1e-6&&Math.abs(S-V)<1e-6&&Math.abs(g-G)<1e-6?s(u):(M=C-q,T=S-V,L=g-G,x=1/Math.sqrt(M*M+T*T+L*L),M*=x,T*=x,L*=x,d=E*L-z*T,v=z*M-P*L,m=P*T-E*M,x=Math.sqrt(d*d+v*v+m*m),x?(x=1/x,d*=x,v*=x,m*=x):(d=0,v=0,m=0),b=T*m-L*v,p=L*d-M*m,k=M*v-T*d,x=Math.sqrt(b*b+p*p+k*k),x?(x=1/x,b*=x,p*=x,k*=x):(b=0,p=0,k=0),u[0]=d,u[1]=b,u[2]=M,u[3]=0,u[4]=v,u[5]=p,u[6]=T,u[7]=0,u[8]=m,u[9]=k,u[10]=L,u[11]=0,u[12]=-(d*C+v*S+m*g),u[13]=-(b*C+p*S+k*g),u[14]=-(M*C+T*S+L*g),u[15]=1,u)}}),6760:(function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=s[4],v=s[5],m=s[6],b=s[7],p=s[8],k=s[9],M=s[10],T=s[11],L=s[12],x=s[13],C=s[14],S=s[15],g=l[0],P=l[1],E=l[2],z=l[3];return o[0]=g*u+P*d+E*p+z*L,o[1]=g*c+P*v+E*k+z*x,o[2]=g*f+P*m+E*M+z*C,o[3]=g*h+P*b+E*T+z*S,g=l[4],P=l[5],E=l[6],z=l[7],o[4]=g*u+P*d+E*p+z*L,o[5]=g*c+P*v+E*k+z*x,o[6]=g*f+P*m+E*M+z*C,o[7]=g*h+P*b+E*T+z*S,g=l[8],P=l[9],E=l[10],z=l[11],o[8]=g*u+P*d+E*p+z*L,o[9]=g*c+P*v+E*k+z*x,o[10]=g*f+P*m+E*M+z*C,o[11]=g*h+P*b+E*T+z*S,g=l[12],P=l[13],E=l[14],z=l[15],o[12]=g*u+P*d+E*p+z*L,o[13]=g*c+P*v+E*k+z*x,o[14]=g*f+P*m+E*M+z*C,o[15]=g*h+P*b+E*T+z*S,o}}),4040:(function(i){i.exports=a;function a(o,s,l,u,c,f,h){var d=1/(s-l),v=1/(u-c),m=1/(f-h);return o[0]=-2*d,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=-2*v,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=2*m,o[11]=0,o[12]=(s+l)*d,o[13]=(c+u)*v,o[14]=(h+f)*m,o[15]=1,o}}),4772:(function(i){i.exports=a;function a(o,s,l,u,c){var f=1/Math.tan(s/2),h=1/(u-c);return o[0]=f/l,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=f,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=(c+u)*h,o[11]=-1,o[12]=0,o[13]=0,o[14]=2*c*u*h,o[15]=0,o}}),6079:(function(i){i.exports=a;function a(o,s,l,u){var c=u[0],f=u[1],h=u[2],d=Math.sqrt(c*c+f*f+h*h),v,m,b,p,k,M,T,L,x,C,S,g,P,E,z,q,V,G,Z,j,N,H,re,ae;return Math.abs(d)<1e-6?null:(d=1/d,c*=d,f*=d,h*=d,v=Math.sin(l),m=Math.cos(l),b=1-m,p=s[0],k=s[1],M=s[2],T=s[3],L=s[4],x=s[5],C=s[6],S=s[7],g=s[8],P=s[9],E=s[10],z=s[11],q=c*c*b+m,V=f*c*b+h*v,G=h*c*b-f*v,Z=c*f*b-h*v,j=f*f*b+m,N=h*f*b+c*v,H=c*h*b+f*v,re=f*h*b-c*v,ae=h*h*b+m,o[0]=p*q+L*V+g*G,o[1]=k*q+x*V+P*G,o[2]=M*q+C*V+E*G,o[3]=T*q+S*V+z*G,o[4]=p*Z+L*j+g*N,o[5]=k*Z+x*j+P*N,o[6]=M*Z+C*j+E*N,o[7]=T*Z+S*j+z*N,o[8]=p*H+L*re+g*ae,o[9]=k*H+x*re+P*ae,o[10]=M*H+C*re+E*ae,o[11]=T*H+S*re+z*ae,s!==o&&(o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o)}}),5567:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[4],h=s[5],d=s[6],v=s[7],m=s[8],b=s[9],p=s[10],k=s[11];return s!==o&&(o[0]=s[0],o[1]=s[1],o[2]=s[2],o[3]=s[3],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[4]=f*c+m*u,o[5]=h*c+b*u,o[6]=d*c+p*u,o[7]=v*c+k*u,o[8]=m*c-f*u,o[9]=b*c-h*u,o[10]=p*c-d*u,o[11]=k*c-v*u,o}}),2408:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],m=s[8],b=s[9],p=s[10],k=s[11];return s!==o&&(o[4]=s[4],o[5]=s[5],o[6]=s[6],o[7]=s[7],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c-m*u,o[1]=h*c-b*u,o[2]=d*c-p*u,o[3]=v*c-k*u,o[8]=f*u+m*c,o[9]=h*u+b*c,o[10]=d*u+p*c,o[11]=v*u+k*c,o}}),7089:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],m=s[4],b=s[5],p=s[6],k=s[7];return s!==o&&(o[8]=s[8],o[9]=s[9],o[10]=s[10],o[11]=s[11],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c+m*u,o[1]=h*c+b*u,o[2]=d*c+p*u,o[3]=v*c+k*u,o[4]=m*c-f*u,o[5]=b*c-h*u,o[6]=p*c-d*u,o[7]=k*c-v*u,o}}),2504:(function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2];return o[0]=s[0]*u,o[1]=s[1]*u,o[2]=s[2]*u,o[3]=s[3]*u,o[4]=s[4]*c,o[5]=s[5]*c,o[6]=s[6]*c,o[7]=s[7]*c,o[8]=s[8]*f,o[9]=s[9]*f,o[10]=s[10]*f,o[11]=s[11]*f,o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15],o}}),7656:(function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2],h,d,v,m,b,p,k,M,T,L,x,C;return s===o?(o[12]=s[0]*u+s[4]*c+s[8]*f+s[12],o[13]=s[1]*u+s[5]*c+s[9]*f+s[13],o[14]=s[2]*u+s[6]*c+s[10]*f+s[14],o[15]=s[3]*u+s[7]*c+s[11]*f+s[15]):(h=s[0],d=s[1],v=s[2],m=s[3],b=s[4],p=s[5],k=s[6],M=s[7],T=s[8],L=s[9],x=s[10],C=s[11],o[0]=h,o[1]=d,o[2]=v,o[3]=m,o[4]=b,o[5]=p,o[6]=k,o[7]=M,o[8]=T,o[9]=L,o[10]=x,o[11]=C,o[12]=h*u+b*c+T*f+s[12],o[13]=d*u+p*c+L*f+s[13],o[14]=v*u+k*c+x*f+s[14],o[15]=m*u+M*c+C*f+s[15]),o}}),5665:(function(i){i.exports=a;function a(o,s){if(o===s){var l=s[1],u=s[2],c=s[3],f=s[6],h=s[7],d=s[11];o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=l,o[6]=s[9],o[7]=s[13],o[8]=u,o[9]=f,o[11]=s[14],o[12]=c,o[13]=h,o[14]=d}else o[0]=s[0],o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=s[1],o[5]=s[5],o[6]=s[9],o[7]=s[13],o[8]=s[2],o[9]=s[6],o[10]=s[10],o[11]=s[14],o[12]=s[3],o[13]=s[7],o[14]=s[11],o[15]=s[15];return o}}),7626:(function(i,a,o){\"use strict\";var s=o(2642),l=o(9346);i.exports=d;function u(v,m){for(var b=[0,0,0,0],p=0;p<4;++p)for(var k=0;k<4;++k)b[k]+=v[4*p+k]*m[p];return b}function c(v,m,b,p,k){for(var M=u(p,u(b,u(m,[v[0],v[1],v[2],1]))),T=0;T<3;++T)M[T]/=M[3];return[.5*k[0]*(1+M[0]),.5*k[1]*(1-M[1])]}function f(v,m){if(v.length===2){for(var b=0,p=0,k=0;k<2;++k)b+=Math.pow(m[k]-v[0][k],2),p+=Math.pow(m[k]-v[1][k],2);return b=Math.sqrt(b),p=Math.sqrt(p),b+p<1e-6?[1,0]:[p/(b+p),b/(p+b)]}else if(v.length===3){var M=[0,0];return l(v[0],v[1],v[2],m,M),s(v,M)}return[]}function h(v,m){for(var b=[0,0,0],p=0;p<v.length;++p)for(var k=v[p],M=m[p],T=0;T<3;++T)b[T]+=M*k[T];return b}function d(v,m,b,p,k,M){if(v.length===1)return[0,v[0].slice()];for(var T=new Array(v.length),L=0;L<v.length;++L)T[L]=c(v[L],b,p,k,M);for(var x=0,C=1/0,L=0;L<T.length;++L){for(var S=0,g=0;g<2;++g)S+=Math.pow(T[L][g]-m[g],2);S<C&&(C=S,x=L)}for(var P=f(T,m),E=0,L=0;L<3;++L){if(P[L]<-.001||P[L]>1.0001)return null;E+=P[L]}return Math.abs(E-1)>.001?null:[x,h(v,P),P]}}),840:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, normal;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model\n",
+       "           , view\n",
+       "           , projection\n",
+       "           , inverseModel;\n",
+       "uniform vec3 eyePosition\n",
+       "           , lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position      = project(position);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * vec4(position , 1.0);\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = position;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness\n",
+       "            , fresnel\n",
+       "            , kambient\n",
+       "            , kdiffuse\n",
+       "            , kspecular;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (f_color.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], f_data)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n",
+       "\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * f_color.a;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_color = color;\n",
+       "  f_data  = position;\n",
+       "  f_uv    = uv;\n",
+       "}`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
+       "\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "attribute float pointSize;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n",
+       "  } else {\n",
+       "    gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  }\n",
+       "  gl_PointSize = pointSize;\n",
+       "  f_color = color;\n",
+       "  f_uv = uv;\n",
+       "}`]),d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n",
+       "  if(dot(pointR, pointR) > 0.25) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_id        = id;\n",
+       "  f_position  = position;\n",
+       "}`]),m=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]),b=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3  position;\n",
+       "attribute float pointSize;\n",
+       "attribute vec4  id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else {\n",
+       "    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\n",
+       "    gl_PointSize = pointSize;\n",
+       "  }\n",
+       "  f_id         = id;\n",
+       "  f_position   = position;\n",
+       "}`]),p=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "}`]),k=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec3 contourColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = vec4(contourColor, 1.0);\n",
+       "}\n",
+       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:m,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:m,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:p,fragment:k,attributes:[{name:\"position\",type:\"vec3\"}]}}),7201:(function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),m=o(7608),b=o(9618),p=o(6729),k=o(7765),M=o(1888),T=o(840),L=o(7626),x=T.meshShader,C=T.wireShader,S=T.pointShader,g=T.pickShader,P=T.pointPickShader,E=T.contourShader,z=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function q(ge,ie,Se,ke,be,Be,Le,me,Pe,ce,He,lt,mt,Ht,at,ct,ar,Vt,rr,tt,je,Ue,Ae,rt,St,Tt,dt){this.gl=ge,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Se,this.lineShader=ke,this.pointShader=be,this.pickShader=Be,this.pointPickShader=Le,this.contourShader=me,this.trianglePositions=Pe,this.triangleColors=He,this.triangleNormals=mt,this.triangleUVs=lt,this.triangleIds=ce,this.triangleVAO=Ht,this.triangleCount=0,this.lineWidth=1,this.edgePositions=at,this.edgeColors=ar,this.edgeUVs=Vt,this.edgeIds=ct,this.edgeVAO=rr,this.edgeCount=0,this.pointPositions=tt,this.pointColors=Ue,this.pointUVs=Ae,this.pointSizes=rt,this.pointIds=je,this.pointVAO=St,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Tt,this.contourVAO=dt,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=z,this._view=z,this._projection=z,this._resolution=[1,1]}var V=q.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(ge){this.pickId=ge};function G(ge,ie){if(!ie||!ie.length)return 1;for(var Se=0;Se<ie.length;++Se){if(ie.length<2)return 1;if(ie[Se][0]===ge)return ie[Se][1];if(ie[Se][0]>ge&&Se>0){var ke=(ie[Se][0]-ge)/(ie[Se][0]-ie[Se-1][0]);return ie[Se][1]*(1-ke)+ke*ie[Se-1][1]}}return 1}function Z(ge,ie){for(var Se=p({colormap:ge,nshades:256,format:\"rgba\"}),ke=new Uint8Array(256*4),be=0;be<256;++be){for(var Be=Se[be],Le=0;Le<3;++Le)ke[4*be+Le]=Be[Le];ie?ke[4*be+3]=255*G(be/255,ie):ke[4*be+3]=255*Be[3]}return b(ke,[256,256,4],[4,0,1])}function j(ge){for(var ie=ge.length,Se=new Array(ie),ke=0;ke<ie;++ke)Se[ke]=ge[ke][2];return Se}V.highlight=function(ge){if(!ge||!this.contourEnable){this.contourCount=0;return}for(var ie=k(this.cells,this.intensity,ge.intensity),Se=ie.cells,ke=ie.vertexIds,be=ie.vertexWeights,Be=Se.length,Le=M.mallocFloat32(6*Be),me=0,Pe=0;Pe<Be;++Pe)for(var ce=Se[Pe],He=0;He<2;++He){var lt=ce[0];ce.length===2&&(lt=ce[He]);for(var mt=ke[lt][0],Ht=ke[lt][1],at=be[lt],ct=1-at,ar=this.positions[mt],Vt=this.positions[Ht],rr=0;rr<3;++rr)Le[me++]=at*ar[rr]+ct*Vt[rr]}this.contourCount=me/3|0,this.contourPositions.update(Le.subarray(0,me)),M.free(Le)},V.update=function(ge){ge=ge||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in ge&&(this.contourEnable=ge.contourEnable),\"contourColor\"in ge&&(this.contourColor=ge.contourColor),\"lineWidth\"in ge&&(this.lineWidth=ge.lineWidth),\"lightPosition\"in ge&&(this.lightPosition=ge.lightPosition),this.hasAlpha=!1,\"opacity\"in ge&&(this.opacity=ge.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in ge&&(this.opacityscale=ge.opacityscale,this.hasAlpha=!0),\"ambient\"in ge&&(this.ambientLight=ge.ambient),\"diffuse\"in ge&&(this.diffuseLight=ge.diffuse),\"specular\"in ge&&(this.specularLight=ge.specular),\"roughness\"in ge&&(this.roughness=ge.roughness),\"fresnel\"in ge&&(this.fresnel=ge.fresnel),ge.texture?(this.texture.dispose(),this.texture=h(ie,ge.texture)):ge.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(Z(ge.colormap,this.opacityscale)),this.texture.generateMipmap());var Se=ge.cells,ke=ge.positions;if(!(!ke||!Se)){var be=[],Be=[],Le=[],me=[],Pe=[],ce=[],He=[],lt=[],mt=[],Ht=[],at=[],ct=[],ar=[],Vt=[];this.cells=Se,this.positions=ke;var rr=ge.vertexNormals,tt=ge.cellNormals,je=ge.vertexNormalsEpsilon===void 0?s:ge.vertexNormalsEpsilon,Ue=ge.faceNormalsEpsilon===void 0?l:ge.faceNormalsEpsilon;ge.useFacetNormals&&!tt&&(tt=d.faceNormals(Se,ke,Ue)),!tt&&!rr&&(rr=d.vertexNormals(Se,ke,je));var Ae=ge.vertexColors,rt=ge.cellColors,St=ge.meshColor||[1,1,1,1],Tt=ge.vertexUVs,dt=ge.vertexIntensity,Et=ge.cellUVs,pt=ge.cellIntensity,jt=1/0,or=-1/0;if(!Tt&&!Et)if(dt)if(ge.vertexIntensityBounds)jt=+ge.vertexIntensityBounds[0],or=+ge.vertexIntensityBounds[1];else for(var mr=0;mr<dt.length;++mr){var Ar=dt[mr];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}else if(pt)if(ge.cellIntensityBounds)jt=+ge.cellIntensityBounds[0],or=+ge.cellIntensityBounds[1];else for(var mr=0;mr<pt.length;++mr){var Ar=pt[mr];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}else for(var mr=0;mr<ke.length;++mr){var Ar=ke[mr][2];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}dt?this.intensity=dt:pt?this.intensity=pt:this.intensity=j(ke),this.pickVertex=!(pt||rt);var ei=ge.pointSizes,qr=ge.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var mr=0;mr<ke.length;++mr)for(var jr=ke[mr],gt=0;gt<3;++gt)isNaN(jr[gt])||!isFinite(jr[gt])||(this.bounds[0][gt]=Math.min(this.bounds[0][gt],jr[gt]),this.bounds[1][gt]=Math.max(this.bounds[1][gt],jr[gt]));var Ge=0,Je=0,We=0;e:for(var mr=0;mr<Se.length;++mr){var et=Se[mr];switch(et.length){case 1:for(var xt=et[0],jr=ke[xt],gt=0;gt<3;++gt)if(isNaN(jr[gt])||!isFinite(jr[gt]))continue e;Ht.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?at.push(At[0],At[1],At[2],this.opacity):(at.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0));var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],ct.push(Kt[0],Kt[1]),ei?ar.push(ei[xt]):ar.push(qr),Vt.push(mr),We+=1;break;case 2:for(var gt=0;gt<2;++gt)for(var xt=et[gt],jr=ke[xt],Qt=0;Qt<3;++Qt)if(isNaN(jr[Qt])||!isFinite(jr[Qt]))continue e;for(var gt=0;gt<2;++gt){var xt=et[gt],jr=ke[xt];ce.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?He.push(At[0],At[1],At[2],this.opacity):(He.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0));var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],lt.push(Kt[0],Kt[1]),mt.push(mr)}Je+=1;break;case 3:for(var gt=0;gt<3;++gt)for(var xt=et[gt],jr=ke[xt],Qt=0;Qt<3;++Qt)if(isNaN(jr[Qt])||!isFinite(jr[Qt]))continue e;for(var gt=0;gt<3;++gt){var xt=et[2-gt],jr=ke[xt];be.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,At?this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?Be.push(At[0],At[1],At[2],this.opacity):(Be.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0)):Be.push(.5,.5,.5,1);var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],me.push(Kt[0],Kt[1]);var Mr;rr?Mr=rr[xt]:Mr=tt[mr],Le.push(Mr[0],Mr[1],Mr[2]),Pe.push(mr)}Ge+=1;break;default:break}}this.pointCount=We,this.edgeCount=Je,this.triangleCount=Ge,this.pointPositions.update(Ht),this.pointColors.update(at),this.pointUVs.update(ct),this.pointSizes.update(ar),this.pointIds.update(new Uint32Array(Vt)),this.edgePositions.update(ce),this.edgeColors.update(He),this.edgeUVs.update(lt),this.edgeIds.update(new Uint32Array(mt)),this.trianglePositions.update(be),this.triangleColors.update(Be),this.triangleUVs.update(me),this.triangleNormals.update(Le),this.triangleIds.update(new Uint32Array(Pe))}},V.drawTransparent=V.draw=function(ge){ge=ge||{};for(var ie=this.gl,Se=ge.model||z,ke=ge.view||z,be=ge.projection||z,Be=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Le=0;Le<3;++Le)Be[0][Le]=Math.max(Be[0][Le],this.clipBounds[0][Le]),Be[1][Le]=Math.min(Be[1][Le],this.clipBounds[1][Le]);var me={model:Se,view:ke,projection:be,inverseModel:z.slice(),clipBounds:Be,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};me.inverseModel=m(me.inverseModel,me.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Pe=new Array(16);v(Pe,me.view,me.model),v(Pe,me.projection,Pe),m(Pe,Pe);for(var Le=0;Le<3;++Le)me.eyePosition[Le]=Pe[12+Le]/Pe[15];for(var ce=Pe[15],Le=0;Le<3;++Le)ce+=this.lightPosition[Le]*Pe[4*Le+3];for(var Le=0;Le<3;++Le){for(var He=Pe[12+Le],lt=0;lt<3;++lt)He+=Pe[4*lt+Le]*this.lightPosition[lt];me.lightPosition[Le]=He/ce}if(this.triangleCount>0){var mt=this.triShader;mt.bind(),mt.uniforms=me,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var mt=this.lineShader;mt.bind(),mt.uniforms=me,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var mt=this.pointShader;mt.bind(),mt.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var mt=this.contourShader;mt.bind(),mt.uniforms=me,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(ge){ge=ge||{};for(var ie=this.gl,Se=ge.model||z,ke=ge.view||z,be=ge.projection||z,Be=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Le=0;Le<3;++Le)Be[0][Le]=Math.max(Be[0][Le],this.clipBounds[0][Le]),Be[1][Le]=Math.min(Be[1][Le],this.clipBounds[1][Le]);this._model=[].slice.call(Se),this._view=[].slice.call(ke),this._projection=[].slice.call(be),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var me={model:Se,view:ke,projection:be,clipBounds:Be,pickId:this.pickId/255},Pe=this.pickShader;if(Pe.bind(),Pe.uniforms=me,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Pe=this.pointPickShader;Pe.bind(),Pe.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(ge){if(!ge||ge.id!==this.pickId)return null;for(var ie=ge.value[0]+256*ge.value[1]+65536*ge.value[2],Se=this.cells[ie],ke=this.positions,be=new Array(Se.length),Be=0;Be<Se.length;++Be)be[Be]=ke[Se[Be]];var Le=ge.coord[0],me=ge.coord[1];if(!this.pickVertex){var Pe=this.positions[Se[0]],ce=this.positions[Se[1]],He=this.positions[Se[2]],lt=[(Pe[0]+ce[0]+He[0])/3,(Pe[1]+ce[1]+He[1])/3,(Pe[2]+ce[2]+He[2])/3];return{_cellCenter:!0,position:[Le,me],index:ie,cell:Se,cellId:ie,intensity:this.intensity[ie],dataCoordinate:lt}}var mt=L(be,[Le*this.pixelRatio,this._resolution[1]-me*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!mt)return null;for(var Ht=mt[2],at=0,Be=0;Be<Se.length;++Be)at+=Ht[Be]*this.intensity[Se[Be]];return{position:mt[1],index:Se[mt[0]],cell:Se,cellId:ie,intensity:at,dataCoordinate:this.positions[Se[mt[0]]]}},V.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()};function N(ge){var ie=u(ge,x.vertex,x.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function H(ge){var ie=u(ge,C.vertex,C.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function re(ge){var ie=u(ge,S.vertex,S.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function ae(ge){var ie=u(ge,g.vertex,g.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(ge){var ie=u(ge,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Ee(ge){var ie=u(ge,E.vertex,E.fragment);return ie.attributes.position.location=0,ie}function Ce(ge,ie){arguments.length===1&&(ie=ge,ge=ie.gl);var Se=ge.getExtension(\"OES_standard_derivatives\")||ge.getExtension(\"MOZ_OES_standard_derivatives\")||ge.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Se)throw new Error(\"derivatives not supported\");var ke=N(ge),be=H(ge),Be=re(ge),Le=ae(ge),me=_e(ge),Pe=Ee(ge),ce=h(ge,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=ge.LINEAR_MIPMAP_LINEAR,ce.magFilter=ge.LINEAR;var He=c(ge),lt=c(ge),mt=c(ge),Ht=c(ge),at=c(ge),ct=f(ge,[{buffer:He,type:ge.FLOAT,size:3},{buffer:at,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:lt,type:ge.FLOAT,size:4},{buffer:mt,type:ge.FLOAT,size:2},{buffer:Ht,type:ge.FLOAT,size:3}]),ar=c(ge),Vt=c(ge),rr=c(ge),tt=c(ge),je=f(ge,[{buffer:ar,type:ge.FLOAT,size:3},{buffer:tt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Vt,type:ge.FLOAT,size:4},{buffer:rr,type:ge.FLOAT,size:2}]),Ue=c(ge),Ae=c(ge),rt=c(ge),St=c(ge),Tt=c(ge),dt=f(ge,[{buffer:Ue,type:ge.FLOAT,size:3},{buffer:Tt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Ae,type:ge.FLOAT,size:4},{buffer:rt,type:ge.FLOAT,size:2},{buffer:St,type:ge.FLOAT,size:1}]),Et=c(ge),pt=f(ge,[{buffer:Et,type:ge.FLOAT,size:3}]),jt=new q(ge,ce,ke,be,Be,Le,me,Pe,He,at,lt,mt,Ht,ct,ar,tt,Vt,rr,je,Ue,Tt,Ae,rt,St,dt,Et,pt);return jt.update(ie),jt}i.exports=Ce}),4437:(function(i,a,o){\"use strict\";i.exports=d;var s=o(3025),l=o(6296),u=o(351),c=o(8512),f=o(24),h=o(7520);function d(v,m){v=v||document.body,m=m||{};var b=[.01,1/0];\"distanceLimits\"in m&&(b[0]=m.distanceLimits[0],b[1]=m.distanceLimits[1]),\"zoomMin\"in m&&(b[0]=m.zoomMin),\"zoomMax\"in m&&(b[1]=m.zoomMax);var p=l({center:m.center||[0,0,0],up:m.up||[0,1,0],eye:m.eye||[0,0,10],mode:m.mode||\"orbit\",distanceLimits:b}),k=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],M=0,T=v.clientWidth,L=v.clientHeight,x={keyBindingMode:\"rotate\",enableWheel:!0,view:p,element:v,delay:m.delay||16,rotateSpeed:m.rotateSpeed||1,zoomSpeed:m.zoomSpeed||1,translateSpeed:m.translateSpeed||1,flipX:!!m.flipX,flipY:!!m.flipY,modes:p.modes,_ortho:m._ortho||m.projection&&m.projection.type===\"orthographic\"||!1,tick:function(){var C=s(),S=this.delay,g=C-2*S;p.idle(C-S),p.recalcMatrix(g),p.flush(C-(100+S*2));for(var P=!0,E=p.computedMatrix,z=0;z<16;++z)P=P&&k[z]===E[z],k[z]=E[z];var q=v.clientWidth===T&&v.clientHeight===L;return T=v.clientWidth,L=v.clientHeight,P?!q:(M=Math.exp(p.computedRadius[0]),!0)},lookAt:function(C,S,g){p.lookAt(p.lastT(),C,S,g)},rotate:function(C,S,g){p.rotate(p.lastT(),C,S,g)},pan:function(C,S,g){p.pan(p.lastT(),C,S,g)},translate:function(C,S,g){p.translate(p.lastT(),C,S,g)}};return Object.defineProperties(x,{matrix:{get:function(){return p.computedMatrix},set:function(C){return p.setMatrix(p.lastT(),C),p.computedMatrix},enumerable:!0},mode:{get:function(){return p.getMode()},set:function(C){var S=p.computedUp.slice(),g=p.computedEye.slice(),P=p.computedCenter.slice();if(p.setMode(C),C===\"turntable\"){var E=s();p._active.lookAt(E,g,P,S),p._active.lookAt(E+500,g,P,[0,0,1]),p._active.flush(E)}return p.getMode()},enumerable:!0},center:{get:function(){return p.computedCenter},set:function(C){return p.lookAt(p.lastT(),null,C),p.computedCenter},enumerable:!0},eye:{get:function(){return p.computedEye},set:function(C){return p.lookAt(p.lastT(),C),p.computedEye},enumerable:!0},up:{get:function(){return p.computedUp},set:function(C){return p.lookAt(p.lastT(),null,null,C),p.computedUp},enumerable:!0},distance:{get:function(){return M},set:function(C){return p.setDistance(p.lastT(),C),C},enumerable:!0},distanceLimits:{get:function(){return p.getDistanceLimits(b)},set:function(C){return p.setDistanceLimits(C),C},enumerable:!0}}),v.addEventListener(\"contextmenu\",function(C){return C.preventDefault(),!1}),x._lastX=-1,x._lastY=-1,x._lastMods={shift:!1,control:!1,alt:!1,meta:!1},x.enableMouseListeners=function(){x.mouseListener=u(v,C),v.addEventListener(\"touchstart\",function(S){var g=f(S.changedTouches[0],v);C(0,g[0],g[1],x._lastMods),C(1,g[0],g[1],x._lastMods)},h?{passive:!0}:!1),v.addEventListener(\"touchmove\",function(S){var g=f(S.changedTouches[0],v);C(1,g[0],g[1],x._lastMods),S.preventDefault()},h?{passive:!1}:!1),v.addEventListener(\"touchend\",function(S){C(0,x._lastX,x._lastY,x._lastMods)},h?{passive:!0}:!1);function C(S,g,P,E){var z=x.keyBindingMode;if(z!==!1){var q=z===\"rotate\",V=z===\"pan\",G=z===\"zoom\",Z=!!E.control,j=!!E.alt,N=!!E.shift,H=!!(S&1),re=!!(S&2),ae=!!(S&4),_e=1/v.clientHeight,Ee=_e*(g-x._lastX),Ce=_e*(P-x._lastY),ge=x.flipX?1:-1,ie=x.flipY?1:-1,Se=Math.PI*x.rotateSpeed,ke=s();if(x._lastX!==-1&&x._lastY!==-1&&((q&&H&&!Z&&!j&&!N||H&&!Z&&!j&&N)&&p.rotate(ke,ge*Se*Ee,-ie*Se*Ce,0),(V&&H&&!Z&&!j&&!N||re||H&&Z&&!j&&!N)&&p.pan(ke,-x.translateSpeed*Ee*M,x.translateSpeed*Ce*M,0),G&&H&&!Z&&!j&&!N||ae||H&&!Z&&j&&!N)){var be=-x.zoomSpeed*Ce/window.innerHeight*(ke-p.lastT())*100;p.pan(ke,0,0,M*(Math.exp(be)-1))}return x._lastX=g,x._lastY=P,x._lastMods=E,!0}}x.wheelListener=c(v,function(S,g){if(x.keyBindingMode!==!1&&x.enableWheel){var P=x.flipX?1:-1,E=x.flipY?1:-1,z=s();if(Math.abs(S)>Math.abs(g))p.rotate(z,0,0,-S*P*Math.PI*x.rotateSpeed/window.innerWidth);else if(!x._ortho){var q=-x.zoomSpeed*E*g/window.innerHeight*(z-p.lastT())/20;p.pan(z,0,0,M*(Math.exp(q)-1))}}},!0)},x.enableMouseListeners(),x}}),799:(function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "attribute vec2 position;\n",
+       "varying vec2 uv;\n",
+       "void main() {\n",
+       "  uv = position;\n",
+       "  gl_Position = vec4(position, 0, 1);\n",
+       "}`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D accumBuffer;\n",
+       "varying vec2 uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
+       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}}),4100:(function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),m=o(4772),b=o(4040),p=o(799),k=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:C,createCamera:s};function M(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function T(g,P){var E=null;try{E=g.getContext(\"webgl\",P),E||(E=g.getContext(\"experimental-webgl\",P))}catch(z){return null}return E}function L(g){var P=Math.round(Math.log(Math.abs(g))/Math.log(10));if(P<0){var E=Math.round(Math.pow(10,-P));return Math.ceil(g*E)/E}else if(P>0){var E=Math.round(Math.pow(10,P));return Math.ceil(g/E)*E}return Math.ceil(g)}function x(g){return typeof g==\"boolean\"?g:!0}function C(g){g=g||{},g.camera=g.camera||{};var P=g.canvas;if(!P)if(P=document.createElement(\"canvas\"),g.container){var E=g.container;E.appendChild(P)}else document.body.appendChild(P);var z=g.gl;if(z||(g.glOptions&&(k=!!g.glOptions.preserveDrawingBuffer),z=T(P,g.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:k})),!z)throw new Error(\"webgl not supported\");var q=g.bounds||[[-10,-10,-10],[10,10,10]],V=new M,G=h(z,z.drawingBufferWidth,z.drawingBufferHeight,{preferFloat:!k}),Z=p(z),j=g.cameraObject&&g.cameraObject._ortho===!0||g.camera.projection&&g.camera.projection.type===\"orthographic\"||!1,N={eye:g.camera.eye||[2,0,0],center:g.camera.center||[0,0,0],up:g.camera.up||[0,1,0],zoomMin:g.camera.zoomMax||.1,zoomMax:g.camera.zoomMin||100,mode:g.camera.mode||\"turntable\",_ortho:j},H=g.axes||{},re=l(z,H);re.enable=!H.disable;var ae=g.spikes||{},_e=c(z,ae),Ee=[],Ce=[],ge=[],ie=[],Se=!0,Le=!0,ke=new Array(16),be=new Array(16),Be={view:null,projection:ke,model:be,_ortho:!1},Le=!0,me=[z.drawingBufferWidth,z.drawingBufferHeight],Pe=g.cameraObject||s(P,N),ce={gl:z,contextLost:!1,pixelRatio:g.pixelRatio||1,canvas:P,selection:V,camera:Pe,axes:re,axesPixels:null,spikes:_e,bounds:q,objects:Ee,shape:me,aspect:g.aspectRatio||[1,1,1],pickRadius:g.pickRadius||10,zNear:g.zNear||.01,zFar:g.zFar||1e3,fovy:g.fovy||Math.PI/4,clearColor:g.clearColor||[0,0,0,0],autoResize:x(g.autoResize),autoBounds:x(g.autoBounds),autoScale:!!g.autoScale,autoCenter:x(g.autoCenter),clipToBounds:x(g.clipToBounds),snapToData:!!g.snapToData,onselect:g.onselect||null,onrender:g.onrender||null,onclick:g.onclick||null,cameraParams:Be,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(tt){this.aspect[0]=tt.x,this.aspect[1]=tt.y,this.aspect[2]=tt.z,Le=!0},setBounds:function(tt,je){this.bounds[0][tt]=je.min,this.bounds[1][tt]=je.max},setClearColor:function(tt){this.clearColor=tt},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},He=[z.drawingBufferWidth/ce.pixelRatio|0,z.drawingBufferHeight/ce.pixelRatio|0];function lt(){if(!ce._stopped&&ce.autoResize){var tt=P.parentNode,je=1,Ue=1;tt&&tt!==document.body?(je=tt.clientWidth,Ue=tt.clientHeight):(je=window.innerWidth,Ue=window.innerHeight);var Ae=Math.ceil(je*ce.pixelRatio)|0,rt=Math.ceil(Ue*ce.pixelRatio)|0;if(Ae!==P.width||rt!==P.height){P.width=Ae,P.height=rt;var St=P.style;St.position=St.position||\"absolute\",St.left=\"0px\",St.top=\"0px\",St.width=je+\"px\",St.height=Ue+\"px\",Se=!0}}}ce.autoResize&&lt(),window.addEventListener(\"resize\",lt);function mt(){for(var tt=Ee.length,je=ie.length,Ue=0;Ue<je;++Ue)ge[Ue]=0;e:for(var Ue=0;Ue<tt;++Ue){var Ae=Ee[Ue],rt=Ae.pickSlots;if(!rt){Ce[Ue]=-1;continue}for(var St=0;St<je;++St)if(ge[St]+rt<255){Ce[Ue]=St,Ae.setPickBase(ge[St]+1),ge[St]+=rt;continue e}var Tt=f(z,me);Ce[Ue]=je,ie.push(Tt),ge.push(rt),Ae.setPickBase(1),je+=1}for(;je>0&&ge[je-1]===0;)ge.pop(),ie.pop().dispose()}ce.update=function(tt){ce._stopped||(tt=tt||{},Se=!0,Le=!0)},ce.add=function(tt){ce._stopped||(tt.axes=re,Ee.push(tt),Ce.push(-1),Se=!0,Le=!0,mt())},ce.remove=function(tt){if(!ce._stopped){var je=Ee.indexOf(tt);je<0||(Ee.splice(je,1),Ce.pop(),Se=!0,Le=!0,mt())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",lt),P.removeEventListener(\"webglcontextlost\",Ht),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var tt=0;tt<Ee.length;++tt)Ee[tt].dispose();G.dispose();for(var tt=0;tt<ie.length;++tt)ie[tt].dispose();Z.dispose(),z=null,re=null,_e=null,Ee=[]}},ce._mouseRotating=!1,ce._prevButtons=0,ce.enableMouseListeners=function(){ce.mouseListener=v(P,function(tt,je,Ue){if(!ce._stopped){var Ae=ie.length,rt=Ee.length,St=V.object;V.distance=1/0,V.mouse[0]=je,V.mouse[1]=Ue,V.object=null,V.screen=null,V.dataCoordinate=V.dataPosition=null;var Tt=!1;if(tt&&ce._prevButtons)ce._mouseRotating=!0;else{ce._mouseRotating&&(Le=!0),ce._mouseRotating=!1;for(var dt=0;dt<Ae;++dt){var Et=ie[dt].query(je,He[1]-Ue-1,ce.pickRadius);if(Et){if(Et.distance>V.distance)continue;for(var pt=0;pt<rt;++pt){var jt=Ee[pt];if(Ce[pt]===dt){var or=jt.pick(Et);or&&(V.buttons=tt,V.screen=Et.coord,V.distance=Et.distance,V.object=jt,V.index=or.distance,V.dataPosition=or.position,V.dataCoordinate=or.dataCoordinate,V.data=or,Tt=!0)}}}}}St&&St!==V.object&&(St.highlight&&St.highlight(null),Se=!0),V.object&&(V.object.highlight&&V.object.highlight(V.data),Se=!0),Tt=Tt||V.object!==St,Tt&&ce.onselect&&ce.onselect(V),tt&1&&!(ce._prevButtons&1)&&ce.onclick&&ce.onclick(V),ce._prevButtons=tt}})};function Ht(){if(ce.contextLost)return!0;z.isContextLost()&&(ce.contextLost=!0,ce.mouseListener.enabled=!1,ce.selection.object=null,ce.oncontextloss&&ce.oncontextloss())}P.addEventListener(\"webglcontextlost\",Ht);function at(){if(!Ht()){z.colorMask(!0,!0,!0,!0),z.depthMask(!0),z.disable(z.BLEND),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL);for(var tt=Ee.length,je=ie.length,Ue=0;Ue<je;++Ue){var Ae=ie[Ue];Ae.shape=He,Ae.begin();for(var rt=0;rt<tt;++rt)if(Ce[rt]===Ue){var St=Ee[rt];St.drawPick&&(St.pixelRatio=1,St.drawPick(Be))}Ae.end()}}}var ct=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],ar=[ct[0].slice(),ct[1].slice()];function Vt(){if(!Ht()){lt();var tt=ce.camera.tick();Be.view=ce.camera.matrix,Se=Se||tt,Le=Le||tt,re.pixelRatio=ce.pixelRatio,_e.pixelRatio=ce.pixelRatio;var je=Ee.length,Ue=ct[0],Ae=ct[1];Ue[0]=Ue[1]=Ue[2]=1/0,Ae[0]=Ae[1]=Ae[2]=-1/0;for(var rt=0;rt<je;++rt){var St=Ee[rt];St.pixelRatio=ce.pixelRatio,St.axes=ce.axes,Se=Se||!!St.dirty,Le=Le||!!St.dirty;var Tt=St.bounds;if(Tt)for(var dt=Tt[0],Et=Tt[1],pt=0;pt<3;++pt)Ue[pt]=Math.min(Ue[pt],dt[pt]),Ae[pt]=Math.max(Ae[pt],Et[pt])}var jt=ce.bounds;if(ce.autoBounds)for(var pt=0;pt<3;++pt){if(Ae[pt]<Ue[pt])Ue[pt]=-1,Ae[pt]=1;else{Ue[pt]===Ae[pt]&&(Ue[pt]-=1,Ae[pt]+=1);var or=.05*(Ae[pt]-Ue[pt]);Ue[pt]=Ue[pt]-or,Ae[pt]=Ae[pt]+or}jt[0][pt]=Ue[pt],jt[1][pt]=Ae[pt]}for(var mr=!1,pt=0;pt<3;++pt)mr=mr||ar[0][pt]!==jt[0][pt]||ar[1][pt]!==jt[1][pt],ar[0][pt]=jt[0][pt],ar[1][pt]=jt[1][pt];if(Le=Le||mr,Se=Se||mr,!!Se){if(mr){for(var Ar=[0,0,0],rt=0;rt<3;++rt)Ar[rt]=L((jt[1][rt]-jt[0][rt])/10);re.autoTicks?re.update({bounds:jt,tickSpacing:Ar}):re.update({bounds:jt})}var ei=z.drawingBufferWidth,qr=z.drawingBufferHeight;me[0]=ei,me[1]=qr,He[0]=Math.max(ei/ce.pixelRatio,1)|0,He[1]=Math.max(qr/ce.pixelRatio,1)|0,S(ce,j);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.axesBounds=jt,ce.clipToBounds&&(St.clipBounds=jt)}V.object&&(ce.snapToData?_e.position=V.dataCoordinate:_e.position=V.dataPosition,_e.bounds=jt),Le&&(Le=!1,at()),ce.axesPixels=u(ce.axes,Be,ei,qr),ce.onrender&&ce.onrender(),z.bindFramebuffer(z.FRAMEBUFFER,null),z.viewport(0,0,ei,qr),ce.clearRGBA(),z.depthMask(!0),z.colorMask(!0,!0,!0,!0),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL),z.disable(z.BLEND),z.disable(z.CULL_FACE);var jr=!1;re.enable&&(jr=jr||re.isTransparent(),re.draw(Be)),_e.axes=re,V.object&&_e.draw(Be),z.disable(z.CULL_FACE);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.axes=re,St.pixelRatio=ce.pixelRatio,St.isOpaque&&St.isOpaque()&&St.draw(Be),St.isTransparent&&St.isTransparent()&&(jr=!0)}if(jr){G.shape=me,G.bind(),z.clear(z.DEPTH_BUFFER_BIT),z.colorMask(!1,!1,!1,!1),z.depthMask(!0),z.depthFunc(z.LESS),re.enable&&re.isTransparent()&&re.drawTransparent(Be);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.isOpaque&&St.isOpaque()&&St.draw(Be)}z.enable(z.BLEND),z.blendEquation(z.FUNC_ADD),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.colorMask(!0,!0,!0,!0),z.depthMask(!1),z.clearColor(0,0,0,0),z.clear(z.COLOR_BUFFER_BIT),re.isTransparent()&&re.drawTransparent(Be);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.isTransparent&&St.isTransparent()&&St.drawTransparent(Be)}z.bindFramebuffer(z.FRAMEBUFFER,null),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.disable(z.DEPTH_TEST),Z.bind(),G.color[0].bind(0),Z.uniforms.accumBuffer=0,d(z),z.disable(z.BLEND)}Se=!1;for(var rt=0;rt<je;++rt)Ee[rt].dirty=!1}}}function rr(){ce._stopped||ce.contextLost||(Vt(),requestAnimationFrame(rr))}return ce.enableMouseListeners(),rr(),ce.redraw=function(){ce._stopped||(Se=!0,Vt())},ce}function S(g,P){var E=g.bounds,z=g.cameraParams,q=z.projection,V=z.model,G=g.gl.drawingBufferWidth,Z=g.gl.drawingBufferHeight,j=g.zNear,N=g.zFar,H=g.fovy,re=G/Z;P?(b(q,-re,re,-1,1,j,N),z._ortho=!0):(m(q,H,re,j,N),z._ortho=!1);for(var ae=0;ae<16;++ae)V[ae]=0;V[15]=1;for(var _e=0,ae=0;ae<3;++ae)_e=Math.max(_e,E[1][ae]-E[0][ae]);for(var ae=0;ae<3;++ae)g.autoScale?V[5*ae]=g.aspect[ae]/(E[1][ae]-E[0][ae]):V[5*ae]=1/_e,g.autoCenter&&(V[12+ae]=-V[5*ae]*.5*(E[0][ae]+E[1][ae]))}}),783:(function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2],d=s[3],v=l[0],m=l[1],b=l[2],p=l[3],k,M,T,L,x;return M=c*v+f*m+h*b+d*p,M<0&&(M=-M,v=-v,m=-m,b=-b,p=-p),1-M>1e-6?(k=Math.acos(M),T=Math.sin(k),L=Math.sin((1-u)*k)/T,x=Math.sin(u*k)/T):(L=1-u,x=u),o[0]=L*c+x*v,o[1]=L*f+x*m,o[2]=L*h+x*b,o[3]=L*d+x*p,o}}),5964:(function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}}),9366:(function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var m={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};m.triangles=!0;var b=s(c,m);m.triangles=!1;var p=s(c,m),k,M;if(h&&h!==1){for(k=0;k<b.positions.length;++k)for(M=0;M<b.positions[k].length;++M)b.positions[k][M]/=h;for(k=0;k<p.positions.length;++k)for(M=0;M<p.positions[k].length;++M)p.positions[k][M]/=h}var T=[[1/0,1/0],[-1/0,-1/0]],L=p.positions.length;for(k=0;k<L;++k){var x=p.positions[k];for(M=0;M<2;++M)T[0][M]=Math.min(T[0][M],x[M]),T[1][M]=Math.max(T[1][M],x[M])}return v[c]=[b,p,T]}}),1283:(function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform vec4 highlightId;\n",
+       "uniform float highlightScale;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = 1.0;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      scale = highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    viewPosition = viewPosition / viewPosition.w;\n",
+       "    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float highlightScale, pixelRatio;\n",
+       "uniform vec4 highlightId;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = pixelRatio;\n",
+       "    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n",
+       "      scale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1.0);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    vec4 clipPosition = projection * viewPosition;\n",
+       "    clipPosition /= clipPosition.w;\n",
+       "\n",
+       "    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform float highlightScale;\n",
+       "uniform vec4 highlightId;\n",
+       "uniform vec3 axes[2];\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float scale, pixelRatio;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float lscale = pixelRatio * scale;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      lscale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\n",
+       "    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n",
+       "    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = dataPosition;\n",
+       "  }\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
+       "    interpColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "  gl_FragColor = interpColor * opacity;\n",
+       "}\n",
+       "`]),d=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float pickGroup;\n",
+       "\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
+       "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],m={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},p={vertex:f,fragment:h,attributes:v},k={vertex:u,fragment:d,attributes:v},M={vertex:c,fragment:d,attributes:v},T={vertex:f,fragment:d,attributes:v};function L(x,C){var S=s(x,C),g=S.attributes;return g.position.location=0,g.color.location=1,g.glyph.location=2,g.id.location=3,S}a.createPerspective=function(x){return L(x,m)},a.createOrtho=function(x){return L(x,b)},a.createProject=function(x){return L(x,p)},a.createPickPerspective=function(x){return L(x,k)},a.createPickOrtho=function(x){return L(x,M)},a.createPickProject=function(x){return L(x,T)}}),8418:(function(i,a,o){\"use strict\";var s=o(5219),l=o(2762),u=o(8116),c=o(1888),f=o(6760),h=o(1283),d=o(9366),v=o(5964),m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],b=ArrayBuffer,p=DataView;function k(be){return b.isView(be)&&!(be instanceof p)}function M(be){return Array.isArray(be)||k(be)}i.exports=ke;function T(be,Be){var Le=be[0],me=be[1],Pe=be[2],ce=be[3];return be[0]=Be[0]*Le+Be[4]*me+Be[8]*Pe+Be[12]*ce,be[1]=Be[1]*Le+Be[5]*me+Be[9]*Pe+Be[13]*ce,be[2]=Be[2]*Le+Be[6]*me+Be[10]*Pe+Be[14]*ce,be[3]=Be[3]*Le+Be[7]*me+Be[11]*Pe+Be[15]*ce,be}function L(be,Be,Le,me){return T(me,me,Le),T(me,me,Be),T(me,me,be)}function x(be,Be){this.index=be,this.dataCoordinate=this.position=Be}function C(be){return be===!0||be>1?1:be}function S(be,Be,Le,me,Pe,ce,He,lt,mt,Ht,at,ct){this.gl=be,this.pixelRatio=1,this.shader=Be,this.orthoShader=Le,this.projectShader=me,this.pointBuffer=Pe,this.colorBuffer=ce,this.glyphBuffer=He,this.idBuffer=lt,this.vao=mt,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[.6666666666666666,.6666666666666666,.6666666666666666],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=Ht,this.pickOrthoShader=at,this.pickProjectShader=ct,this.points=[],this._selectResult=new x(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}var g=S.prototype;g.pickSlots=1,g.setPickBase=function(be){this.pickId=be},g.isTransparent=function(){if(this.hasAlpha)return!0;for(var be=0;be<3;++be)if(this.axesProject[be]&&this.projectHasAlpha)return!0;return!1},g.isOpaque=function(){if(!this.hasAlpha)return!0;for(var be=0;be<3;++be)if(this.axesProject[be]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],E=[0,0,0],z=[0,0,0],q=[0,0,0,1],V=[0,0,0,1],G=m.slice(),Z=[0,0,0],j=[[0,0,0],[0,0,0]];function N(be){return be[0]=be[1]=be[2]=0,be}function H(be,Be){return be[0]=Be[0],be[1]=Be[1],be[2]=Be[2],be[3]=1,be}function re(be,Be,Le,me){return be[0]=Be[0],be[1]=Be[1],be[2]=Be[2],be[Le]=me,be}function ae(be){for(var Be=j,Le=0;Le<2;++Le)for(var me=0;me<3;++me)Be[Le][me]=Math.max(Math.min(be[Le][me],1e8),-1e8);return Be}function _e(be,Be,Le,me){var Pe=Be.axesProject,ce=Be.gl,He=be.uniforms,lt=Le.model||m,mt=Le.view||m,Ht=Le.projection||m,at=Be.axesBounds,ct=ae(Be.clipBounds),ar;Be.axes&&Be.axes.lastCubeProps?ar=Be.axes.lastCubeProps.axis:ar=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,be.bind(),He.view=mt,He.projection=Ht,He.screenSize=P,He.highlightId=Be.highlightId,He.highlightScale=Be.highlightScale,He.clipBounds=ct,He.pickGroup=Be.pickId/255,He.pixelRatio=me;for(var Vt=0;Vt<3;++Vt)if(Pe[Vt]){He.scale=Be.projectScale[Vt],He.opacity=Be.projectOpacity[Vt];for(var rr=G,tt=0;tt<16;++tt)rr[tt]=0;for(var tt=0;tt<4;++tt)rr[5*tt]=1;rr[5*Vt]=0,ar[Vt]<0?rr[12+Vt]=at[0][Vt]:rr[12+Vt]=at[1][Vt],f(rr,lt,rr),He.model=rr;var je=(Vt+1)%3,Ue=(Vt+2)%3,Ae=N(E),rt=N(z);Ae[je]=1,rt[Ue]=1;var St=L(Ht,mt,lt,H(q,Ae)),Tt=L(Ht,mt,lt,H(V,rt));if(Math.abs(St[1])>Math.abs(Tt[1])){var dt=St;St=Tt,Tt=dt,dt=Ae,Ae=rt,rt=dt;var Et=je;je=Ue,Ue=Et}St[0]<0&&(Ae[je]=-1),Tt[1]>0&&(rt[Ue]=-1);for(var pt=0,jt=0,tt=0;tt<4;++tt)pt+=Math.pow(lt[4*je+tt],2),jt+=Math.pow(lt[4*Ue+tt],2);Ae[je]/=Math.sqrt(pt),rt[Ue]/=Math.sqrt(jt),He.axes[0]=Ae,He.axes[1]=rt,He.fragClipBounds[0]=re(Z,ct[0],Vt,-1e8),He.fragClipBounds[1]=re(Z,ct[1],Vt,1e8),Be.vao.bind(),Be.vao.draw(ce.TRIANGLES,Be.vertexCount),Be.lineWidth>0&&(ce.lineWidth(Be.lineWidth*me),Be.vao.draw(ce.LINES,Be.lineVertexCount,Be.vertexCount)),Be.vao.unbind()}}var Ee=[-1e8,-1e8,-1e8],Ce=[1e8,1e8,1e8],ge=[Ee,Ce];function ie(be,Be,Le,me,Pe,ce,He){var lt=Le.gl;if((ce===Le.projectHasAlpha||He)&&_e(Be,Le,me,Pe),ce===Le.hasAlpha||He){be.bind();var mt=be.uniforms;mt.model=me.model||m,mt.view=me.view||m,mt.projection=me.projection||m,P[0]=2/lt.drawingBufferWidth,P[1]=2/lt.drawingBufferHeight,mt.screenSize=P,mt.highlightId=Le.highlightId,mt.highlightScale=Le.highlightScale,mt.fragClipBounds=ge,mt.clipBounds=Le.axes.bounds,mt.opacity=Le.opacity,mt.pickGroup=Le.pickId/255,mt.pixelRatio=Pe,Le.vao.bind(),Le.vao.draw(lt.TRIANGLES,Le.vertexCount),Le.lineWidth>0&&(lt.lineWidth(Le.lineWidth*Pe),Le.vao.draw(lt.LINES,Le.lineVertexCount,Le.vertexCount)),Le.vao.unbind()}}g.draw=function(be){var Be=this.useOrtho?this.orthoShader:this.shader;ie(Be,this.projectShader,this,be,this.pixelRatio,!1,!1)},g.drawTransparent=function(be){var Be=this.useOrtho?this.orthoShader:this.shader;ie(Be,this.projectShader,this,be,this.pixelRatio,!0,!1)},g.drawPick=function(be){var Be=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;ie(Be,this.pickProjectShader,this,be,1,!0,!0)},g.pick=function(be){if(!be||be.id!==this.pickId)return null;var Be=be.value[2]+(be.value[1]<<8)+(be.value[0]<<16);if(Be>=this.pointCount||Be<0)return null;var Le=this.points[Be],me=this._selectResult;me.index=Be;for(var Pe=0;Pe<3;++Pe)me.position[Pe]=me.dataCoordinate[Pe]=Le[Pe];return me},g.highlight=function(be){if(!be)this.highlightId=[1,1,1,1];else{var Be=be.index,Le=Be&255,me=Be>>8&255,Pe=Be>>16&255;this.highlightId=[Le/255,me/255,Pe/255,0]}};function Se(be,Be,Le,me){var Pe;M(be)?Be<be.length?Pe=be[Be]:Pe=void 0:Pe=be,Pe=v(Pe);var ce=!0;s(Pe)&&(Pe=\"\\u25BC\",ce=!1),Le||(Le={});var He=Le.family;M(He)&&(He=He[Be]),He||(He=\"normal\");var lt=Le.weight;M(lt)&&(lt=lt[Be]),lt||(lt=\"normal\");var mt=Le.style;M(mt)&&(mt=mt[Be]),mt||(mt=\"normal\");var Ht=Le.variant;M(Ht)&&(Ht=Ht[Be]),Ht||(Ht=\"normal\");var at=d(Pe,{family:He,weight:lt,style:mt,variant:Ht},me),at=d(Pe,Le,me);return{mesh:at[0],lines:at[1],bounds:at[2],visible:ce}}g.update=function(be){if(be=be||{},\"perspective\"in be&&(this.useOrtho=!be.perspective),\"orthographic\"in be&&(this.useOrtho=!!be.orthographic),\"lineWidth\"in be&&(this.lineWidth=be.lineWidth),\"project\"in be)if(M(be.project))this.axesProject=be.project;else{var Be=!!be.project;this.axesProject=[Be,Be,Be]}if(\"projectScale\"in be)if(M(be.projectScale))this.projectScale=be.projectScale.slice();else{var Le=+be.projectScale;this.projectScale=[Le,Le,Le]}if(this.projectHasAlpha=!1,\"projectOpacity\"in be){if(M(be.projectOpacity))this.projectOpacity=be.projectOpacity.slice();else{var Le=+be.projectOpacity;this.projectOpacity=[Le,Le,Le]}for(var me=0;me<3;++me)this.projectOpacity[me]=C(this.projectOpacity[me]),this.projectOpacity[me]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in be&&(this.opacity=C(be.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var Pe=be.position,ce={family:be.font||\"normal\",style:be.fontStyle||\"normal\",weight:be.fontWeight||\"normal\",variant:be.fontVariant||\"normal\"},He=be.alignment||[0,0],lt,mt;if(He.length===2)lt=He[0],mt=He[1];else{lt=[],mt=[];for(var me=0;me<He.length;++me)lt[me]=He[me][0],mt[me]=He[me][1]}var Ht=[1/0,1/0,1/0],at=[-1/0,-1/0,-1/0],ct=be.glyph,ar=be.color,Vt=be.size,rr=be.angle,tt=be.lineColor,je=-1,Ue=0,Ae=0,rt=0;if(Pe.length){rt=Pe.length;e:for(var me=0;me<rt;++me){for(var St=Pe[me],Tt=0;Tt<3;++Tt)if(isNaN(St[Tt])||!isFinite(St[Tt]))continue e;var dt=Se(ct,me,ce,this.pixelRatio),Et=dt.mesh,pt=dt.lines,jt=dt.bounds;Ue+=Et.cells.length*3,Ae+=pt.edges.length*2}}var or=Ue+Ae,mr=c.mallocFloat(3*or),Ar=c.mallocFloat(4*or),ei=c.mallocFloat(2*or),qr=c.mallocUint32(or);if(or>0){var jr=0,gt=Ue,Ge=[0,0,0,1],Je=[0,0,0,1],We=M(ar)&&M(ar[0]),et=M(tt)&&M(tt[0]);e:for(var me=0;me<rt;++me){je+=1;for(var St=Pe[me],Tt=0;Tt<3;++Tt){if(isNaN(St[Tt])||!isFinite(St[Tt]))continue e;at[Tt]=Math.max(at[Tt],St[Tt]),Ht[Tt]=Math.min(Ht[Tt],St[Tt])}var dt=Se(ct,me,ce,this.pixelRatio),Et=dt.mesh,pt=dt.lines,jt=dt.bounds,xt=dt.visible;if(!xt)Ge=[1,1,1,0];else if(M(ar)){var At;if(We?me<ar.length?At=ar[me]:At=[0,0,0,0]:At=ar,At.length===3){for(var Tt=0;Tt<3;++Tt)Ge[Tt]=At[Tt];Ge[3]=1}else if(At.length===4){for(var Tt=0;Tt<4;++Tt)Ge[Tt]=At[Tt];!this.hasAlpha&&At[3]<1&&(this.hasAlpha=!0)}}else Ge[0]=Ge[1]=Ge[2]=0,Ge[3]=1;if(!xt)Je=[1,1,1,0];else if(M(tt)){var At;if(et?me<tt.length?At=tt[me]:At=[0,0,0,0]:At=tt,At.length===3){for(var Tt=0;Tt<3;++Tt)Je[Tt]=At[Tt];Je[Tt]=1}else if(At.length===4){for(var Tt=0;Tt<4;++Tt)Je[Tt]=At[Tt];!this.hasAlpha&&At[3]<1&&(this.hasAlpha=!0)}}else Je[0]=Je[1]=Je[2]=0,Je[3]=1;var Kt=.5;xt?M(Vt)?me<Vt.length?Kt=+Vt[me]:Kt=12:Vt?Kt=+Vt:this.useOrtho&&(Kt=12):Kt=0;var Qt=0;M(rr)?me<rr.length?Qt=+rr[me]:Qt=0:rr&&(Qt=+rr);for(var Mr=Math.cos(Qt),Gr=Math.sin(Qt),St=Pe[me],Tt=0;Tt<3;++Tt)at[Tt]=Math.max(at[Tt],St[Tt]),Ht[Tt]=Math.min(Ht[Tt],St[Tt]);var Ir=lt,Yr=mt,Ir=0;M(lt)?me<lt.length?Ir=lt[me]:Ir=0:lt&&(Ir=lt);var Yr=0;M(mt)?me<mt.length?Yr=mt[me]:Yr=0:mt&&(Yr=mt),Ir*=Ir>0?1-jt[0][0]:Ir<0?1+jt[1][0]:1,Yr*=Yr>0?1-jt[0][1]:Yr<0?1+jt[1][1]:1;for(var _i=[Ir,Yr],Fn=Et.cells||[],An=Et.positions||[],Tt=0;Tt<Fn.length;++Tt)for(var Pi=Fn[Tt],ai=0;ai<3;++ai){for(var mi=0;mi<3;++mi)mr[3*jr+mi]=St[mi];for(var mi=0;mi<4;++mi)Ar[4*jr+mi]=Ge[mi];qr[jr]=je;var un=An[Pi[ai]];ei[2*jr]=Kt*(Mr*un[0]-Gr*un[1]+_i[0]),ei[2*jr+1]=Kt*(Gr*un[0]+Mr*un[1]+_i[1]),jr+=1}for(var Fn=pt.edges,An=pt.positions,Tt=0;Tt<Fn.length;++Tt)for(var Pi=Fn[Tt],ai=0;ai<2;++ai){for(var mi=0;mi<3;++mi)mr[3*gt+mi]=St[mi];for(var mi=0;mi<4;++mi)Ar[4*gt+mi]=Je[mi];qr[gt]=je;var un=An[Pi[ai]];ei[2*gt]=Kt*(Mr*un[0]-Gr*un[1]+_i[0]),ei[2*gt+1]=Kt*(Gr*un[0]+Mr*un[1]+_i[1]),gt+=1}}}this.bounds=[Ht,at],this.points=Pe,this.pointCount=Pe.length,this.vertexCount=Ue,this.lineVertexCount=Ae,this.pointBuffer.update(mr),this.colorBuffer.update(Ar),this.glyphBuffer.update(ei),this.idBuffer.update(qr),c.free(mr),c.free(Ar),c.free(ei),c.free(qr)},g.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function ke(be){var Be=be.gl,Le=h.createPerspective(Be),me=h.createOrtho(Be),Pe=h.createProject(Be),ce=h.createPickPerspective(Be),He=h.createPickOrtho(Be),lt=h.createPickProject(Be),mt=l(Be),Ht=l(Be),at=l(Be),ct=l(Be),ar=u(Be,[{buffer:mt,size:3,type:Be.FLOAT},{buffer:Ht,size:4,type:Be.FLOAT},{buffer:at,size:2,type:Be.FLOAT},{buffer:ct,size:4,type:Be.UNSIGNED_BYTE,normalized:!0}]),Vt=new S(Be,Le,me,Pe,mt,Ht,at,ct,ar,ce,He,lt);return Vt.update(be),Vt}}),3589:(function(i,a,o){\"use strict\";i.exports=m;var s=o(2260),l=o(1888),u=o(9618),c=o(8828).nextPow2,f=function(b,p,k){for(var M=1e8,T=-1,L=-1,x=b.shape[0],C=b.shape[1],S=0;S<x;S++)for(var g=0;g<C;g++){var P=b.get(S,g,0),E=b.get(S,g,1),z=b.get(S,g,2),q=b.get(S,g,3);if(P<255||E<255||z<255||q<255){var V=p-S,G=k-g,Z=V*V+G*G;Z<M&&(M=Z,T=S,L=g)}}return[T,L,M]};function h(b,p,k,M,T){this.coord=[b,p],this.id=k,this.value=M,this.distance=T}function d(b,p,k){this.gl=b,this.fbo=p,this.buffer=k,this._readTimeout=null;var M=this;this._readCallback=function(){M.gl&&(p.bind(),b.readPixels(0,0,p.shape[0],p.shape[1],b.RGBA,b.UNSIGNED_BYTE,M.buffer),M._readTimeout=null)}}var v=d.prototype;Object.defineProperty(v,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(b){if(this.gl){this.fbo.shape=b;var p=this.fbo.shape[0],k=this.fbo.shape[1];if(k*p*4>this.buffer.length){l.free(this.buffer);for(var M=this.buffer=l.mallocUint8(c(k*p*4)),T=0;T<k*p*4;++T)M[T]=255}return b}}}),v.begin=function(){var b=this.gl,p=this.shape;b&&(this.fbo.bind(),b.clearColor(1,1,1,1),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT))},v.end=function(){var b=this.gl;b&&(b.bindFramebuffer(b.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},v.query=function(b,p,k){if(!this.gl)return null;var M=this.fbo.shape.slice();b=b|0,p=p|0,typeof k!=\"number\"&&(k=1);var T=Math.min(Math.max(b-k,0),M[0])|0,L=Math.min(Math.max(b+k,0),M[0])|0,x=Math.min(Math.max(p-k,0),M[1])|0,C=Math.min(Math.max(p+k,0),M[1])|0;if(L<=T||C<=x)return null;var S=[L-T,C-x],g=u(this.buffer,[S[0],S[1],4],[4,M[0]*4,1],4*(T+M[0]*x)),P=f(g.hi(S[0],S[1],1),k,k),E=P[0],z=P[1];if(E<0||Math.pow(this.radius,2)<P[2])return null;var q=g.get(E,z,0),V=g.get(E,z,1),G=g.get(E,z,2),Z=g.get(E,z,3);return new h(E+T|0,z+x|0,q,[V,G,Z],Math.sqrt(P[2]))},v.dispose=function(){this.gl&&(this.fbo.dispose(),l.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))};function m(b,p){var k=p[0],M=p[1],T={},L=s(b,k,M,T),x=l.mallocUint8(k*M*4);return new d(b,L,x)}}),9405:(function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(p){this.gl=p,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var p,k=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),M=this.gl.lastAttribCount;if(k>M)for(p=M;p<k;p++)this.gl.enableVertexAttribArray(p);else if(M>k)for(p=k;p<M;p++)this.gl.disableVertexAttribArray(p);this.gl.lastAttribCount=k,this.gl.useProgram(this.program)},v.dispose=function(){for(var p=this.gl.lastAttribCount,k=0;k<p;k++)this.gl.disableVertexAttribArray(k);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function m(p,k){return p.name<k.name?-1:1}v.update=function(p,k,M,T){if(!k||arguments.length===1){var L=p;p=L.vertex,k=L.fragment,M=L.uniforms,T=L.attributes}var x=this,C=x.gl,S=x._vref;x._vref=c.shader(C,C.VERTEX_SHADER,p),S&&S.dispose(),x.vertShader=x._vref.shader;var g=this._fref;if(x._fref=c.shader(C,C.FRAGMENT_SHADER,k),g&&g.dispose(),x.fragShader=x._fref.shader,!M||!T){var P=C.createProgram();if(C.attachShader(P,x.fragShader),C.attachShader(P,x.vertShader),C.linkProgram(P),!C.getProgramParameter(P,C.LINK_STATUS)){var E=C.getProgramInfoLog(P);throw new h(E,\"Error linking program:\"+E)}M=M||f.uniforms(C,P),T=T||f.attributes(C,P),C.deleteProgram(P)}T=T.slice(),T.sort(m);var z=[],q=[],V=[],G;for(G=0;G<T.length;++G){var Z=T[G];if(Z.type.indexOf(\"mat\")>=0){for(var j=Z.type.charAt(Z.type.length-1)|0,N=new Array(j),H=0;H<j;++H)N[H]=V.length,q.push(Z.name+\"[\"+H+\"]\"),typeof Z.location==\"number\"?V.push(Z.location+H):Array.isArray(Z.location)&&Z.location.length===j&&typeof Z.location[H]==\"number\"?V.push(Z.location[H]|0):V.push(-1);z.push({name:Z.name,type:Z.type,locations:N})}else z.push({name:Z.name,type:Z.type,locations:[V.length]}),q.push(Z.name),typeof Z.location==\"number\"?V.push(Z.location|0):V.push(-1)}var re=0;for(G=0;G<V.length;++G)if(V[G]<0){for(;V.indexOf(re)>=0;)re+=1;V[G]=re}var ae=new Array(M.length);function _e(){x.program=c.program(C,x._vref,x._fref,q,V);for(var Ee=0;Ee<M.length;++Ee)ae[Ee]=C.getUniformLocation(x.program,M[Ee].name)}_e(),x._relink=_e,x.types={uniforms:u(M),attributes:u(T)},x.attributes=l(C,x,z,V),Object.defineProperty(x,\"uniforms\",s(C,x,M,ae))};function b(p,k,M,T,L){var x=new d(p);return x.update(k,M,T,L),x}i.exports=b}),8866:(function(i){function a(o,s,l){this.shortMessage=s||\"\",this.longMessage=l||\"\",this.rawError=o||\"\",this.message=\"gl-shader: \"+(s||o||\"\")+(l?`\n",
+       "`+l:\"\"),this.stack=new Error().stack}a.prototype=new Error,a.prototype.name=\"GLError\",a.prototype.constructor=a,i.exports=a}),8731:(function(i,a,o){\"use strict\";i.exports=d;var s=o(8866);function l(v,m,b,p,k,M){this._gl=v,this._wrapper=m,this._index=b,this._locations=p,this._dimension=k,this._constFunc=M}var u=l.prototype;u.pointer=function(m,b,p,k){var M=this,T=M._gl,L=M._locations[M._index];T.vertexAttribPointer(L,M._dimension,m||T.FLOAT,!!b,p||0,k||0),T.enableVertexAttribArray(L)},u.set=function(v,m,b,p){return this._constFunc(this._locations[this._index],v,m,b,p)},Object.defineProperty(u,\"location\",{get:function(){return this._locations[this._index]},set:function(v){return v!==this._locations[this._index]&&(this._locations[this._index]=v|0,this._wrapper.program=null),v|0}});var c=[function(v,m,b){return b.length===void 0?v.vertexAttrib1f(m,b):v.vertexAttrib1fv(m,b)},function(v,m,b,p){return b.length===void 0?v.vertexAttrib2f(m,b,p):v.vertexAttrib2fv(m,b)},function(v,m,b,p,k){return b.length===void 0?v.vertexAttrib3f(m,b,p,k):v.vertexAttrib3fv(m,b)},function(v,m,b,p,k,M){return b.length===void 0?v.vertexAttrib4f(m,b,p,k,M):v.vertexAttrib4fv(m,b)}];function f(v,m,b,p,k,M,T){var L=c[k],x=new l(v,m,b,p,k,L);Object.defineProperty(M,T,{set:function(C){return v.disableVertexAttribArray(p[b]),L(v,p[b],C),C},get:function(){return x},enumerable:!0})}function h(v,m,b,p,k,M,T){for(var L=new Array(k),x=new Array(k),C=0;C<k;++C)f(v,m,b[C],p,k,L,C),x[C]=L[C];Object.defineProperty(L,\"location\",{set:function(P){if(Array.isArray(P))for(var E=0;E<k;++E)x[E].location=P[E];else for(var E=0;E<k;++E)x[E].location=P+E;return P},get:function(){for(var P=new Array(k),E=0;E<k;++E)P[E]=p[b[E]];return P},enumerable:!0}),L.pointer=function(P,E,z,q){P=P||v.FLOAT,E=!!E,z=z||k*k,q=q||0;for(var V=0;V<k;++V){var G=p[b[V]];v.vertexAttribPointer(G,k,P,E,z,q+V*k),v.enableVertexAttribArray(G)}};var S=new Array(k),g=v[\"vertexAttrib\"+k+\"fv\"];Object.defineProperty(M,T,{set:function(P){for(var E=0;E<k;++E){var z=p[b[E]];if(v.disableVertexAttribArray(z),Array.isArray(P[0]))g.call(v,z,P[E]);else{for(var q=0;q<k;++q)S[q]=P[k*E+q];g.call(v,z,S)}}return P},get:function(){return L},enumerable:!0})}function d(v,m,b,p){for(var k={},M=0,T=b.length;M<T;++M){var L=b[M],x=L.name,C=L.type,S=L.locations;switch(C){case\"bool\":case\"int\":case\"float\":f(v,m,S[0],p,1,k,x);break;default:if(C.indexOf(\"vec\")>=0){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new s(\"\",\"Invalid data type for attribute \"+x+\": \"+C);f(v,m,S[0],p,g,k,x)}else if(C.indexOf(\"mat\")>=0){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new s(\"\",\"Invalid data type for attribute \"+x+\": \"+C);h(v,m,S,p,g,k,x)}else throw new s(\"\",\"Unknown data type for attribute \"+x+\": \"+C);break}}return k}}),3327:(function(i,a,o){\"use strict\";var s=o(216),l=o(8866);i.exports=f;function u(h){return function(){return h}}function c(h,d){for(var v=new Array(h),m=0;m<h;++m)v[m]=d;return v}function f(h,d,v,m){function b(C){return function(S,g,P){return S.getUniform(g.program,P[C])}}function p(C){return function(g){for(var P=k(\"\",C),E=0;E<P.length;++E){var z=P[E],q=z[0],V=z[1];if(m[V]){var G=g;if(typeof q==\"string\"&&(q.indexOf(\".\")===0||q.indexOf(\"[\")===0)){var Z=q;if(q.indexOf(\".\")===0&&(Z=q.slice(1)),Z.indexOf(\"]\")===Z.length-1){var j=Z.indexOf(\"[\"),N=Z.slice(0,j),H=Z.slice(j+1,Z.length-1);G=N?g[N][H]:g[H]}else G=g[Z]}var re=v[V].type,ae;switch(re){case\"bool\":case\"int\":case\"sampler2D\":case\"samplerCube\":h.uniform1i(m[V],G);break;case\"float\":h.uniform1f(m[V],G);break;default:var _e=re.indexOf(\"vec\");if(0<=_e&&_e<=1&&re.length===4+_e){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid data type\");switch(re.charAt(0)){case\"b\":case\"i\":h[\"uniform\"+ae+\"iv\"](m[V],G);break;case\"v\":h[\"uniform\"+ae+\"fv\"](m[V],G);break;default:throw new l(\"\",\"Unrecognized data type for vector \"+name+\": \"+re)}}else if(re.indexOf(\"mat\")===0&&re.length===4){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+re);h[\"uniformMatrix\"+ae+\"fv\"](m[V],!1,G);break}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+re)}}}}}function k(C,S){if(typeof S!=\"object\")return[[C,S]];var g=[];for(var P in S){var E=S[P],z=C;parseInt(P)+\"\"===P?z+=\"[\"+P+\"]\":z+=\".\"+P,typeof E==\"object\"?g.push.apply(g,k(z,E)):g.push([z,E])}return g}function M(C){switch(C){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":return 0;case\"float\":return 0;default:var S=C.indexOf(\"vec\");if(0<=S&&S<=1&&C.length===4+S){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new l(\"\",\"Invalid data type\");return C.charAt(0)===\"b\"?c(g,!1):c(g,0)}else if(C.indexOf(\"mat\")===0&&C.length===4){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+C);return c(g*g,0)}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+C)}}function T(C,S,g){if(typeof g==\"object\"){var P=L(g);Object.defineProperty(C,S,{get:u(P),set:p(g),enumerable:!0,configurable:!1})}else m[g]?Object.defineProperty(C,S,{get:b(g),set:p(g),enumerable:!0,configurable:!1}):C[S]=M(v[g].type)}function L(C){var S;if(Array.isArray(C)){S=new Array(C.length);for(var g=0;g<C.length;++g)T(S,g,C[g])}else{S={};for(var P in C)T(S,P,C[P])}return S}var x=s(v,!0);return{get:u(L(x)),set:p(x),enumerable:!0,configurable:!0}}}),216:(function(i){\"use strict\";i.exports=a;function a(o,s){for(var l={},u=0;u<o.length;++u)for(var c=o[u].name,f=c.split(\".\"),h=l,d=0;d<f.length;++d){var v=f[d].split(\"[\");if(v.length>1){v[0]in h||(h[v[0]]=[]),h=h[v[0]];for(var m=1;m<v.length;++m){var b=parseInt(v[m]);m<v.length-1||d<f.length-1?(b in h||(m<v.length-1?h[b]=[]:h[b]={}),h=h[b]):s?h[b]=u:h[b]=o[u].type}}else d<f.length-1?(v[0]in h||(h[v[0]]={}),h=h[v[0]]):s?h[v[0]]=u:h[v[0]]=o[u].type}return l}}),2145:(function(i,a){\"use strict\";a.uniforms=u,a.attributes=c;var o={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},s=null;function l(f,h){if(!s){var d=Object.keys(o);s={};for(var v=0;v<d.length;++v){var m=d[v];s[f[m]]=o[m]}}return s[h]}function u(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_UNIFORMS),v=[],m=0;m<d;++m){var b=f.getActiveUniform(h,m);if(b){var p=l(f,b.type);if(b.size>1)for(var k=0;k<b.size;++k)v.push({name:b.name.replace(\"[0]\",\"[\"+k+\"]\"),type:p});else v.push({name:b.name,type:p})}}return v}function c(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_ATTRIBUTES),v=[],m=0;m<d;++m){var b=f.getActiveAttrib(h,m);b&&v.push({name:b.name,type:l(f,b.type)})}return v}}),5091:(function(i,a,o){\"use strict\";a.shader=k,a.program=M;var s=o(8866),l=o(2992),u=typeof WeakMap==\"undefined\"?o(606):WeakMap,c=new u,f=0;function h(T,L,x,C,S,g,P){this.id=T,this.src=L,this.type=x,this.shader=C,this.count=g,this.programs=[],this.cache=P}h.prototype.dispose=function(){if(--this.count===0){for(var T=this.cache,L=T.gl,x=this.programs,C=0,S=x.length;C<S;++C){var g=T.programs[x[C]];g&&(delete T.programs[C],L.deleteProgram(g))}L.deleteShader(this.shader),delete T.shaders[this.type===L.FRAGMENT_SHADER|0][this.src]}};function d(T){this.gl=T,this.shaders=[{},{}],this.programs={}}var v=d.prototype;function m(T,L,x){var C=T.createShader(L);if(T.shaderSource(C,x),T.compileShader(C),!T.getShaderParameter(C,T.COMPILE_STATUS)){var S=T.getShaderInfoLog(C);try{var g=l(S,x,L)}catch(P){throw console.warn(\"Failed to format compiler error: \"+P),new s(S,`Error compiling shader:\n",
+       "`+S)}throw new s(S,g.short,g.long)}return C}v.getShaderReference=function(T,L){var x=this.gl,C=this.shaders[T===x.FRAGMENT_SHADER|0],S=C[L];if(!S||!x.isShader(S.shader)){var g=m(x,T,L);S=C[L]=new h(f++,L,T,g,[],1,this)}else S.count+=1;return S};function b(T,L,x,C,S){var g=T.createProgram();T.attachShader(g,L),T.attachShader(g,x);for(var P=0;P<C.length;++P)T.bindAttribLocation(g,S[P],C[P]);if(T.linkProgram(g),!T.getProgramParameter(g,T.LINK_STATUS)){var E=T.getProgramInfoLog(g);throw new s(E,\"Error linking program: \"+E)}return g}v.getProgram=function(T,L,x,C){var S=[T.id,L.id,x.join(\":\"),C.join(\":\")].join(\"@\"),g=this.programs[S];return(!g||!this.gl.isProgram(g))&&(this.programs[S]=g=b(this.gl,T.shader,L.shader,x,C),T.programs.push(S),L.programs.push(S)),g};function p(T){var L=c.get(T);return L||(L=new d(T),c.set(T,L)),L}function k(T,L,x){return p(T).getShaderReference(L,x)}function M(T,L,x,C,S){return p(T).getProgram(L,x,C,S)}}),1493:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, color;\n",
+       "attribute float weight;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 coordinates[3];\n",
+       "uniform vec4 colors[3];\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float lineWidth;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 vertexPosition = mix(coordinates[0],\n",
+       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
+       "\n",
+       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
+       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
+       "  vec2 delta = weight * clipOffset * screenShape;\n",
+       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
+       "\n",
+       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
+       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
+       "}\n",
+       "`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}}),4449:(function(i,a,o){\"use strict\";var s=o(2762),l=o(8116),u=o(1493);i.exports=b;var c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,M,T){this.gl=p,this.buffer=k,this.vao=M,this.shader=T,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var h=f.prototype,d=[0,0,0],v=[0,0,0],m=[0,0];h.isTransparent=function(){return!1},h.drawTransparent=function(p){},h.draw=function(p){var k=this.gl,M=this.vao,T=this.shader;M.bind(),T.bind();var L=p.model||c,x=p.view||c,C=p.projection||c,S;this.axes&&(S=this.axes.lastCubeProps.axis);for(var g=d,P=v,E=0;E<3;++E)S&&S[E]<0?(g[E]=this.bounds[0][E],P[E]=this.bounds[1][E]):(g[E]=this.bounds[1][E],P[E]=this.bounds[0][E]);m[0]=k.drawingBufferWidth,m[1]=k.drawingBufferHeight,T.uniforms.model=L,T.uniforms.view=x,T.uniforms.projection=C,T.uniforms.coordinates=[this.position,g,P],T.uniforms.colors=this.colors,T.uniforms.screenShape=m;for(var E=0;E<3;++E)T.uniforms.lineWidth=this.lineWidth[E]*this.pixelRatio,this.enabled[E]&&(M.draw(k.TRIANGLES,6,6*E),this.drawSides[E]&&M.draw(k.TRIANGLES,12,18+12*E));M.unbind()},h.update=function(p){p&&(\"bounds\"in p&&(this.bounds=p.bounds),\"position\"in p&&(this.position=p.position),\"lineWidth\"in p&&(this.lineWidth=p.lineWidth),\"colors\"in p&&(this.colors=p.colors),\"enabled\"in p&&(this.enabled=p.enabled),\"drawSides\"in p&&(this.drawSides=p.drawSides))},h.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function b(p,k){var M=[];function T(g,P,E,z,q,V){var G=[g,P,E,0,0,0,1];G[z+3]=1,G[z]=q,M.push.apply(M,G),G[6]=-1,M.push.apply(M,G),G[z]=V,M.push.apply(M,G),M.push.apply(M,G),G[6]=1,M.push.apply(M,G),G[z]=q,M.push.apply(M,G)}T(0,0,0,0,0,1),T(0,0,0,1,0,1),T(0,0,0,2,0,1),T(1,0,0,1,-1,1),T(1,0,0,2,-1,1),T(0,1,0,0,-1,1),T(0,1,0,2,-1,1),T(0,0,1,0,-1,1),T(0,0,1,1,-1,1);var L=s(p,M),x=l(p,[{type:p.FLOAT,buffer:L,size:3,offset:0,stride:28},{type:p.FLOAT,buffer:L,size:3,offset:12,stride:28},{type:p.FLOAT,buffer:L,size:1,offset:24,stride:28}]),C=u(p);C.attributes.position.location=0,C.attributes.color.location=1,C.attributes.weight.location=2;var S=new f(p,L,x,C);return S.update(k),S}}),6740:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, tubeScale;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * tubePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n",
+       "  vec4 t_position  = view * tubePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = tubePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float tubeScale;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  gl_Position = projection * (view * tubePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}}),7815:(function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(T,L,x,C){for(var S=T.points,g=T.velocities,P=T.divergences,E=[],z=[],q=[],V=[],G=[],Z=[],j=0,N=0,H=l.create(),re=l.create(),ae=8,_e=0;_e<S.length;_e++){var Ee=S[_e],Ce=g[_e],ge=P[_e];L===0&&(ge=x*.05),N=s.length(Ce)/C,H=l.create(),s.copy(H,Ce),H[3]=ge;for(var ie=0;ie<ae;ie++)G[ie]=[Ee[0],Ee[1],Ee[2],ie];if(V.length>0)for(var ie=0;ie<ae;ie++){var Se=(ie+1)%ae;E.push(V[ie],G[ie],G[Se],G[Se],V[Se],V[ie]),q.push(re,H,H,H,re,re),Z.push(j,N,N,N,j,j);var ke=E.length;z.push([ke-6,ke-5,ke-4],[ke-3,ke-2,ke-1])}var be=V;V=G,G=be;var Be=re;re=H,H=Be;var Le=j;j=N,N=Le}return{positions:E,cells:z,vectors:q,vertexIntensity:Z}},f=function(T,L,x,C){for(var S=0,g=0;g<T.length;g++)for(var P=T[g].velocities,E=0;E<P.length;E++)S=Math.max(S,s.length(P[E]));for(var z=T.map(function(_e){return c(_e,x,C,S)}),q=[],V=[],G=[],Z=[],g=0;g<z.length;g++){var j=z[g],N=q.length;q=q.concat(j.positions),G=G.concat(j.vectors),Z=Z.concat(j.vertexIntensity);for(var E=0;E<j.cells.length;E++){var H=j.cells[E],re=[];V.push(re);for(var ae=0;ae<H.length;ae++)re.push(H[ae]+N)}}return{positions:q,cells:V,vectors:G,vertexIntensity:Z,colormap:L}},h=function(T,L){var x=T.length,C;for(C=0;C<x;C++){var S=T[C];if(S===L)return C;if(S>L)return C-1}return C},d=function(T,L,x){return T<L?L:T>x?x:T},v=function(T,L,x){var C=L.vectors,S=L.meshgrid,g=T[0],P=T[1],E=T[2],z=S[0].length,q=S[1].length,V=S[2].length,G=h(S[0],g),Z=h(S[1],P),j=h(S[2],E),N=G+1,H=Z+1,re=j+1;if(G=d(G,0,z-1),N=d(N,0,z-1),Z=d(Z,0,q-1),H=d(H,0,q-1),j=d(j,0,V-1),re=d(re,0,V-1),G<0||Z<0||j<0||N>z-1||H>q-1||re>V-1)return s.create();var ae=S[0][G],_e=S[0][N],Ee=S[1][Z],Ce=S[1][H],ge=S[2][j],ie=S[2][re],Se=(g-ae)/(_e-ae),ke=(P-Ee)/(Ce-Ee),be=(E-ge)/(ie-ge);isFinite(Se)||(Se=.5),isFinite(ke)||(ke=.5),isFinite(be)||(be=.5);var Be,Le,me,Pe,ce,He;switch(x.reversedX&&(G=z-1-G,N=z-1-N),x.reversedY&&(Z=q-1-Z,H=q-1-H),x.reversedZ&&(j=V-1-j,re=V-1-re),x.filled){case 5:ce=j,He=re,me=Z*V,Pe=H*V,Be=G*V*q,Le=N*V*q;break;case 4:ce=j,He=re,Be=G*V,Le=N*V,me=Z*V*z,Pe=H*V*z;break;case 3:me=Z,Pe=H,ce=j*q,He=re*q,Be=G*q*V,Le=N*q*V;break;case 2:me=Z,Pe=H,Be=G*q,Le=N*q,ce=j*q*z,He=re*q*z;break;case 1:Be=G,Le=N,ce=j*z,He=re*z,me=Z*z*V,Pe=H*z*V;break;default:Be=G,Le=N,me=Z*z,Pe=H*z,ce=j*z*q,He=re*z*q;break}var lt=C[Be+me+ce],mt=C[Be+me+He],Ht=C[Be+Pe+ce],at=C[Be+Pe+He],ct=C[Le+me+ce],ar=C[Le+me+He],Vt=C[Le+Pe+ce],rr=C[Le+Pe+He],tt=s.create(),je=s.create(),Ue=s.create(),Ae=s.create();s.lerp(tt,lt,ct,Se),s.lerp(je,mt,ar,Se),s.lerp(Ue,Ht,Vt,Se),s.lerp(Ae,at,rr,Se);var rt=s.create(),St=s.create();s.lerp(rt,tt,Ue,ke),s.lerp(St,je,Ae,ke);var Tt=s.create();return s.lerp(Tt,rt,St,be),Tt},m=function(T,L){var x=L[0],C=L[1],S=L[2];return T[0]=x<0?-x:x,T[1]=C<0?-C:C,T[2]=S<0?-S:S,T},b=function(T){var L=1/0;T.sort(function(g,P){return g-P});for(var x=T.length,C=1;C<x;C++){var S=Math.abs(T[C]-T[C-1]);S<L&&(L=S)}return L},p=function(T){for(var L=[],x=[],C=[],S={},g={},P={},E=T.length,z=0;z<E;z++){var q=T[z],V=q[0],G=q[1],Z=q[2];S[V]||(L.push(V),S[V]=!0),g[G]||(x.push(G),g[G]=!0),P[Z]||(C.push(Z),P[Z]=!0)}var j=b(L),N=b(x),H=b(C),re=Math.min(j,N,H);return isFinite(re)?re:1};i.exports=function(T,L){var x=T.startingPositions,C=T.maxLength||1e3,S=T.tubeSize||1,g=T.absoluteTubeSize,P=T.gridFill||\"+x+y+z\",E={};P.indexOf(\"-x\")!==-1&&(E.reversedX=!0),P.indexOf(\"-y\")!==-1&&(E.reversedY=!0),P.indexOf(\"-z\")!==-1&&(E.reversedZ=!0),E.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var z=T.getVelocity||function(ar){return v(ar,T,E)},q=T.getDivergence||function(ar,Vt){var rr=s.create(),tt=1e-4;s.add(rr,ar,[tt,0,0]);var je=z(rr);s.subtract(je,je,Vt),s.scale(je,je,1/tt),s.add(rr,ar,[0,tt,0]);var Ue=z(rr);s.subtract(Ue,Ue,Vt),s.scale(Ue,Ue,1/tt),s.add(rr,ar,[0,0,tt]);var Ae=z(rr);return s.subtract(Ae,Ae,Vt),s.scale(Ae,Ae,1/tt),s.add(rr,je,Ue),s.add(rr,rr,Ae),rr},V=[],G=L[0][0],Z=L[0][1],j=L[0][2],N=L[1][0],H=L[1][1],re=L[1][2],ae=function(ar){var Vt=ar[0],rr=ar[1],tt=ar[2];return!(Vt<G||Vt>N||rr<Z||rr>H||tt<j||tt>re)},_e=s.distance(L[0],L[1]),Ee=10*_e/C,Ce=Ee*Ee,ge=1,ie=0,Se=x.length;Se>1&&(ge=p(x));for(var ke=0;ke<Se;ke++){var be=s.create();s.copy(be,x[ke]);var Be=[be],Le=[],me=z(be),Pe=be;Le.push(me);var ce=[],He=q(be,me),lt=s.length(He);isFinite(lt)&&lt>ie&&(ie=lt),ce.push(lt),V.push({points:Be,velocities:Le,divergences:ce});for(var mt=0;mt<C*100&&Be.length<C&&ae(be);){mt++;var Ht=s.clone(me),at=s.squaredLength(Ht);if(at===0)break;if(at>Ce&&s.scale(Ht,Ht,Ee/Math.sqrt(at)),s.add(Ht,Ht,be),me=z(Ht),s.squaredDistance(Pe,Ht)-Ce>-1e-4*Ce){Be.push(Ht),Pe=Ht,Le.push(me);var He=q(Ht,me),lt=s.length(He);isFinite(lt)&&lt>ie&&(ie=lt),ce.push(lt)}be=Ht}}var ct=f(V,T.colormap,ie,ge);return g?ct.tubeScale=g:(ie===0&&(ie=1),ct.tubeScale=S*.5*ge/ie),ct};var k=o(6740),M=o(6405).createMesh;i.exports.createTubeMesh=function(T,L){return M(T,L,{shaders:k,traceType:\"streamtube\"})}}),990:(function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute vec3 f;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 lightPosition, eyePosition;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 localCoordinate = vec3(uv.zw, f.x);\n",
+       "  worldCoordinate = objectOffset + localCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  gl_Position = clipPosition;\n",
+       "  kill = f.y;\n",
+       "  value = f.z;\n",
+       "  planeCoordinate = uv.xy;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * worldPosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n",
+       "}\n",
+       "`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float beckmannSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness) {\n",
+       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 lowerBound, upperBound;\n",
+       "uniform float contourTint;\n",
+       "uniform vec4 contourColor;\n",
+       "uniform sampler2D colormap;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform float vertexColor;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    kill > 0.0 ||\n",
+       "    vColor.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(surfaceNormal);\n",
+       "  vec3 V = normalize(eyeDirection);\n",
+       "  vec3 L = normalize(lightDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  //decide how to interpolate color \\u2014 in vertex or in fragment\n",
+       "  vec4 surfaceColor =\n",
+       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
+       "    step(.5, vertexColor) * vColor;\n",
+       "\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
+       "}\n",
+       "`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute float f;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat3 permutation;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float height, zOffset;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n",
+       "  worldCoordinate = objectOffset + dataCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n",
+       "\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  clipPosition.z += zOffset;\n",
+       "\n",
+       "  gl_Position = clipPosition;\n",
+       "  value = f + objectOffset.z;\n",
+       "  kill = -1.0;\n",
+       "  planeCoordinate = uv.zw;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Don't do lighting for contours\n",
+       "  surfaceNormal   = vec3(1,0,0);\n",
+       "  eyeDirection    = vec3(0,1,0);\n",
+       "  lightDirection  = vec3(0,0,1);\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec2 shape;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 surfaceNormal;\n",
+       "\n",
+       "vec2 splitFloat(float v) {\n",
+       "  float vh = 255.0 * v;\n",
+       "  float upper = floor(vh);\n",
+       "  float lower = fract(vh);\n",
+       "  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  if ((kill > 0.0) ||\n",
+       "      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n",
+       "\n",
+       "  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n",
+       "  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n",
+       "  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n",
+       "}\n",
+       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}}),9499:(function(i,a,o){\"use strict\";i.exports=Be;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),m=o(9618),b=o(3711),p=o(6760),k=o(7608),M=o(2478),T=o(6199),L=o(990),x=L.createShader,C=L.createContourShader,S=L.createPickShader,g=L.createPickContourShader,P=40,E=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],z=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],q=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Le=0;Le<3;++Le){var me=q[Le],Pe=(Le+1)%3,ce=(Le+2)%3;me[Pe+0]=1,me[ce+3]=1,me[Le+6]=1}})();function V(Le,me,Pe,ce,He){this.position=Le,this.index=me,this.uv=Pe,this.level=ce,this.dataCoordinate=He}var G=256;function Z(Le,me,Pe,ce,He,lt,mt,Ht,at,ct,ar,Vt,rr,tt,je){this.gl=Le,this.shape=me,this.bounds=Pe,this.objectOffset=je,this.intensityBounds=[],this._shader=ce,this._pickShader=He,this._coordinateBuffer=lt,this._vao=mt,this._colorMap=Ht,this._contourShader=at,this._contourPickShader=ct,this._contourBuffer=ar,this._contourVAO=Vt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=rr,this._dynamicVAO=tt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[m(f.mallocFloat(1024),[0,0]),m(f.mallocFloat(1024),[0,0]),m(f.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var j=Z.prototype;j.genColormap=function(Le,me){var Pe=!1,ce=v([h({colormap:Le,nshades:G,format:\"rgba\"}).map(function(He,lt){var mt=me?N(lt/255,me):He[3];return mt<1&&(Pe=!0),[He[0],He[1],He[2],255*mt]})]);return d.divseq(ce,255),this.hasAlphaScale=Pe,ce},j.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},j.isOpaque=function(){return!this.isTransparent()},j.pickSlots=1,j.setPickBase=function(Le){this.pickId=Le};function N(Le,me){if(!me||!me.length)return 1;for(var Pe=0;Pe<me.length;++Pe){if(me.length<2)return 1;if(me[Pe][0]===Le)return me[Pe][1];if(me[Pe][0]>Le&&Pe>0){var ce=(me[Pe][0]-Le)/(me[Pe][0]-me[Pe-1][0]);return me[Pe][1]*(1-ce)+ce*me[Pe-1][1]}}return 1}var H=[0,0,0],re={showSurface:!1,showContour:!1,projections:[E.slice(),E.slice(),E.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function ae(Le,me){var Pe,ce,He,lt=me.axes&&me.axes.lastCubeProps.axis||H,mt=me.showSurface,Ht=me.showContour;for(Pe=0;Pe<3;++Pe)for(mt=mt||me.surfaceProject[Pe],ce=0;ce<3;++ce)Ht=Ht||me.contourProject[Pe][ce];for(Pe=0;Pe<3;++Pe){var at=re.projections[Pe];for(ce=0;ce<16;++ce)at[ce]=0;for(ce=0;ce<4;++ce)at[5*ce]=1;at[5*Pe]=0,at[12+Pe]=me.axesBounds[+(lt[Pe]>0)][Pe],p(at,Le.model,at);var ct=re.clipBounds[Pe];for(He=0;He<2;++He)for(ce=0;ce<3;++ce)ct[He][ce]=Le.clipBounds[He][ce];ct[0][Pe]=-1e8,ct[1][Pe]=1e8}return re.showSurface=mt,re.showContour=Ht,re}var _e={model:E,view:E,projection:E,inverseModel:E.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},Ee=E.slice(),Ce=[1,0,0,0,1,0,0,0,1];function ge(Le,me){Le=Le||{};var Pe=this.gl;Pe.disable(Pe.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Le.model||E,ce.view=Le.view||E,ce.projection=Le.projection||E,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=k(ce.inverseModel,ce.model);for(var He=0;He<2;++He)for(var lt=ce.clipBounds[He],mt=0;mt<3;++mt)lt[mt]=Math.min(Math.max(this.clipBounds[He][mt],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=Ce,ce.vertexColor=this.vertexColor;var Ht=Ee;for(p(Ht,ce.view,ce.model),p(Ht,ce.projection,Ht),k(Ht,Ht),He=0;He<3;++He)ce.eyePosition[He]=Ht[12+He]/Ht[15];var at=Ht[15];for(He=0;He<3;++He)at+=this.lightPosition[He]*Ht[4*He+3];for(He=0;He<3;++He){var ct=Ht[12+He];for(mt=0;mt<3;++mt)ct+=Ht[4*mt+He]*this.lightPosition[mt];ce.lightPosition[He]=ct/at}var ar=ae(ce,this);if(ar.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Pe.TRIANGLES,this._vertexCount),He=0;He<3;++He)!this.surfaceProject[He]||!this.vertexCount||(this._shader.uniforms.model=ar.projections[He],this._shader.uniforms.clipBounds=ar.clipBounds[He],this._vao.draw(Pe.TRIANGLES,this._vertexCount));this._vao.unbind()}if(ar.showContour){var Vt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,Vt.bind(),Vt.uniforms=ce;var rr=this._contourVAO;for(rr.bind(),He=0;He<3;++He)for(Vt.uniforms.permutation=q[He],Pe.lineWidth(this.contourWidth[He]*this.pixelRatio),mt=0;mt<this.contourLevels[He].length;++mt)mt===this.highlightLevel[He]?(Vt.uniforms.contourColor=this.highlightColor[He],Vt.uniforms.contourTint=this.highlightTint[He]):(mt===0||mt-1===this.highlightLevel[He])&&(Vt.uniforms.contourColor=this.contourColor[He],Vt.uniforms.contourTint=this.contourTint[He]),this._contourCounts[He][mt]&&(Vt.uniforms.height=this.contourLevels[He][mt],rr.draw(Pe.LINES,this._contourCounts[He][mt],this._contourOffsets[He][mt]));for(He=0;He<3;++He)for(Vt.uniforms.model=ar.projections[He],Vt.uniforms.clipBounds=ar.clipBounds[He],mt=0;mt<3;++mt)if(this.contourProject[He][mt]){Vt.uniforms.permutation=q[mt],Pe.lineWidth(this.contourWidth[mt]*this.pixelRatio);for(var tt=0;tt<this.contourLevels[mt].length;++tt)tt===this.highlightLevel[mt]?(Vt.uniforms.contourColor=this.highlightColor[mt],Vt.uniforms.contourTint=this.highlightTint[mt]):(tt===0||tt-1===this.highlightLevel[mt])&&(Vt.uniforms.contourColor=this.contourColor[mt],Vt.uniforms.contourTint=this.contourTint[mt]),this._contourCounts[mt][tt]&&(Vt.uniforms.height=this.contourLevels[mt][tt],rr.draw(Pe.LINES,this._contourCounts[mt][tt],this._contourOffsets[mt][tt]))}for(rr.unbind(),rr=this._dynamicVAO,rr.bind(),He=0;He<3;++He)if(this._dynamicCounts[He]!==0)for(Vt.uniforms.model=ce.model,Vt.uniforms.clipBounds=ce.clipBounds,Vt.uniforms.permutation=q[He],Pe.lineWidth(this.dynamicWidth[He]*this.pixelRatio),Vt.uniforms.contourColor=this.dynamicColor[He],Vt.uniforms.contourTint=this.dynamicTint[He],Vt.uniforms.height=this.dynamicLevel[He],rr.draw(Pe.LINES,this._dynamicCounts[He],this._dynamicOffsets[He]),mt=0;mt<3;++mt)this.contourProject[mt][He]&&(Vt.uniforms.model=ar.projections[mt],Vt.uniforms.clipBounds=ar.clipBounds[mt],rr.draw(Pe.LINES,this._dynamicCounts[He],this._dynamicOffsets[He]));rr.unbind()}}j.draw=function(Le){return ge.call(this,Le,!1)},j.drawTransparent=function(Le){return ge.call(this,Le,!0)};var ie={model:E,view:E,projection:E,inverseModel:E,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(Le){Le=Le||{};var me=this.gl;me.disable(me.CULL_FACE);var Pe=ie;Pe.model=Le.model||E,Pe.view=Le.view||E,Pe.projection=Le.projection||E,Pe.shape=this._field[2].shape,Pe.pickId=this.pickId/255,Pe.lowerBound=this.bounds[0],Pe.upperBound=this.bounds[1],Pe.objectOffset=this.objectOffset,Pe.permutation=Ce;for(var ce=0;ce<2;++ce)for(var He=Pe.clipBounds[ce],lt=0;lt<3;++lt)He[lt]=Math.min(Math.max(this.clipBounds[ce][lt],-1e8),1e8);var mt=ae(Pe,this);if(mt.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Pe,this._vao.bind(),this._vao.draw(me.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=mt.projections[ce],this._pickShader.uniforms.clipBounds=mt.clipBounds[ce],this._vao.draw(me.TRIANGLES,this._vertexCount));this._vao.unbind()}if(mt.showContour){var Ht=this._contourPickShader;Ht.bind(),Ht.uniforms=Pe;var at=this._contourVAO;for(at.bind(),lt=0;lt<3;++lt)for(me.lineWidth(this.contourWidth[lt]*this.pixelRatio),Ht.uniforms.permutation=q[lt],ce=0;ce<this.contourLevels[lt].length;++ce)this._contourCounts[lt][ce]&&(Ht.uniforms.height=this.contourLevels[lt][ce],at.draw(me.LINES,this._contourCounts[lt][ce],this._contourOffsets[lt][ce]));for(ce=0;ce<3;++ce)for(Ht.uniforms.model=mt.projections[ce],Ht.uniforms.clipBounds=mt.clipBounds[ce],lt=0;lt<3;++lt)if(this.contourProject[ce][lt]){Ht.uniforms.permutation=q[lt],me.lineWidth(this.contourWidth[lt]*this.pixelRatio);for(var ct=0;ct<this.contourLevels[lt].length;++ct)this._contourCounts[lt][ct]&&(Ht.uniforms.height=this.contourLevels[lt][ct],at.draw(me.LINES,this._contourCounts[lt][ct],this._contourOffsets[lt][ct]))}at.unbind()}},j.pick=function(Le){if(!Le||Le.id!==this.pickId)return null;var me=this._field[2].shape,Pe=this._pickResult,ce=me[0]*(Le.value[0]+(Le.value[2]>>4)/16)/255,He=Math.floor(ce),lt=ce-He,mt=me[1]*(Le.value[1]+(Le.value[2]&15)/16)/255,Ht=Math.floor(mt),at=mt-Ht;He+=1,Ht+=1;var ct=Pe.position;ct[0]=ct[1]=ct[2]=0;for(var ar=0;ar<2;++ar)for(var Vt=ar?lt:1-lt,rr=0;rr<2;++rr)for(var tt=rr?at:1-at,je=He+ar,Ue=Ht+rr,Ae=Vt*tt,rt=0;rt<3;++rt)ct[rt]+=this._field[rt].get(je,Ue)*Ae;for(var St=this._pickResult.level,Tt=0;Tt<3;++Tt)if(St[Tt]=M.le(this.contourLevels[Tt],ct[Tt]),St[Tt]<0)this.contourLevels[Tt].length>0&&(St[Tt]=0);else if(St[Tt]<this.contourLevels[Tt].length-1){var dt=this.contourLevels[Tt][St[Tt]],Et=this.contourLevels[Tt][St[Tt]+1];Math.abs(dt-ct[Tt])>Math.abs(Et-ct[Tt])&&(St[Tt]+=1)}for(Pe.index[0]=lt<.5?He:He+1,Pe.index[1]=at<.5?Ht:Ht+1,Pe.uv[0]=ce/me[0],Pe.uv[1]=mt/me[1],rt=0;rt<3;++rt)Pe.dataCoordinate[rt]=this._field[rt].get(Pe.index[0],Pe.index[1]);return Pe},j.padField=function(Le,me){var Pe=me.shape.slice(),ce=Le.shape.slice();d.assign(Le.lo(1,1).hi(Pe[0],Pe[1]),me),d.assign(Le.lo(1).hi(Pe[0],1),me.hi(Pe[0],1)),d.assign(Le.lo(1,ce[1]-1).hi(Pe[0],1),me.lo(0,Pe[1]-1).hi(Pe[0],1)),d.assign(Le.lo(0,1).hi(1,Pe[1]),me.hi(1)),d.assign(Le.lo(ce[0]-1,1).hi(1,Pe[1]),me.lo(Pe[0]-1)),Le.set(0,0,me.get(0,0)),Le.set(0,ce[1]-1,me.get(0,Pe[1]-1)),Le.set(ce[0]-1,0,me.get(Pe[0]-1,0)),Le.set(ce[0]-1,ce[1]-1,me.get(Pe[0]-1,Pe[1]-1))};function Se(Le,me){return Array.isArray(Le)?[me(Le[0]),me(Le[1]),me(Le[2])]:[me(Le),me(Le),me(Le)]}function ke(Le){return Array.isArray(Le)?Le.length===3?[Le[0],Le[1],Le[2],1]:[Le[0],Le[1],Le[2],Le[3]]:[0,0,0,1]}function be(Le){if(Array.isArray(Le)){if(Array.isArray(Le))return[ke(Le[0]),ke(Le[1]),ke(Le[2])];var me=ke(Le);return[me.slice(),me.slice(),me.slice()]}}j.update=function(Le){Le=Le||{},this.objectOffset=Le.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Le&&(this.contourWidth=Se(Le.contourWidth,Number)),\"showContour\"in Le&&(this.showContour=Se(Le.showContour,Boolean)),\"showSurface\"in Le&&(this.showSurface=!!Le.showSurface),\"contourTint\"in Le&&(this.contourTint=Se(Le.contourTint,Boolean)),\"contourColor\"in Le&&(this.contourColor=be(Le.contourColor)),\"contourProject\"in Le&&(this.contourProject=Se(Le.contourProject,function(yn){return Se(yn,Boolean)})),\"surfaceProject\"in Le&&(this.surfaceProject=Le.surfaceProject),\"dynamicColor\"in Le&&(this.dynamicColor=be(Le.dynamicColor)),\"dynamicTint\"in Le&&(this.dynamicTint=Se(Le.dynamicTint,Number)),\"dynamicWidth\"in Le&&(this.dynamicWidth=Se(Le.dynamicWidth,Number)),\"opacity\"in Le&&(this.opacity=Le.opacity),\"opacityscale\"in Le&&(this.opacityscale=Le.opacityscale),\"colorBounds\"in Le&&(this.colorBounds=Le.colorBounds),\"vertexColor\"in Le&&(this.vertexColor=Le.vertexColor?1:0),\"colormap\"in Le&&this._colorMap.setPixels(this.genColormap(Le.colormap,this.opacityscale));var me=Le.field||Le.coords&&Le.coords[2]||null,Pe=!1;if(me||(this._field[2].shape[0]||this._field[2].shape[2]?me=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):me=this._field[2].hi(0,0)),\"field\"in Le||\"coords\"in Le){var ce=(me.shape[0]+2)*(me.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=m(this._field[2].data,[me.shape[0]+2,me.shape[1]+2]),this.padField(this._field[2],me),this.shape=me.shape.slice();for(var He=this.shape,lt=0;lt<2;++lt)this._field[2].size>this._field[lt].data.length&&(f.freeFloat(this._field[lt].data),this._field[lt].data=f.mallocFloat(this._field[2].size)),this._field[lt]=m(this._field[lt].data,[He[0]+2,He[1]+2]);if(Le.coords){var mt=Le.coords;if(!Array.isArray(mt)||mt.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(lt=0;lt<2;++lt){var Ht=mt[lt];for(rr=0;rr<2;++rr)if(Ht.shape[rr]!==He[rr])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[lt],Ht)}}else if(Le.ticks){var at=Le.ticks;if(!Array.isArray(at)||at.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(lt=0;lt<2;++lt){var ct=at[lt];if((Array.isArray(ct)||ct.length)&&(ct=m(ct)),ct.shape[0]!==He[lt])throw new Error(\"gl-surface: invalid tick length\");var ar=m(ct.data,He);ar.stride[lt]=ct.stride[0],ar.stride[lt^1]=0,this.padField(this._field[lt],ar)}}else{for(lt=0;lt<2;++lt){var Vt=[0,0];Vt[lt]=1,this._field[lt]=m(this._field[lt].data,[He[0]+2,He[1]+2],Vt,0)}this._field[0].set(0,0,0);for(var rr=0;rr<He[0];++rr)this._field[0].set(rr+1,0,rr);for(this._field[0].set(He[0]+1,0,He[0]-1),this._field[1].set(0,0,0),rr=0;rr<He[1];++rr)this._field[1].set(0,rr+1,rr);this._field[1].set(0,He[1]+1,He[1]-1)}var tt=this._field,je=m(f.mallocFloat(tt[2].size*3*2),[3,He[0]+2,He[1]+2,2]);for(lt=0;lt<3;++lt)T(je.pick(lt),tt[lt],\"mirror\");var Ue=m(f.mallocFloat(tt[2].size*3),[He[0]+2,He[1]+2,3]);for(lt=0;lt<He[0]+2;++lt)for(rr=0;rr<He[1]+2;++rr){var Ae=je.get(0,lt,rr,0),rt=je.get(0,lt,rr,1),St=je.get(1,lt,rr,0),Tt=je.get(1,lt,rr,1),dt=je.get(2,lt,rr,0),Et=je.get(2,lt,rr,1),pt=St*Et-Tt*dt,jt=dt*rt-Et*Ae,or=Ae*Tt-rt*St,mr=Math.sqrt(pt*pt+jt*jt+or*or);mr<1e-8?(mr=Math.max(Math.abs(pt),Math.abs(jt),Math.abs(or)),mr<1e-8?(or=1,jt=pt=0,mr=1):mr=1/mr):mr=1/Math.sqrt(mr),Ue.set(lt,rr,0,pt*mr),Ue.set(lt,rr,1,jt*mr),Ue.set(lt,rr,2,or*mr)}f.free(je.data);var Ar=[1/0,1/0,1/0],ei=[-1/0,-1/0,-1/0],qr=1/0,jr=-1/0,gt=(He[0]-1)*(He[1]-1)*6,Ge=f.mallocFloat(s.nextPow2(10*gt)),Je=0,We=0;for(lt=0;lt<He[0]-1;++lt)e:for(rr=0;rr<He[1]-1;++rr){for(var et=0;et<2;++et)for(var xt=0;xt<2;++xt)for(var At=0;At<3;++At){var Kt=this._field[At].get(1+lt+et,1+rr+xt);if(isNaN(Kt)||!isFinite(Kt))continue e}for(At=0;At<6;++At){var Qt=lt+z[At][0],Mr=rr+z[At][1],Gr=this._field[0].get(Qt+1,Mr+1),Ir=this._field[1].get(Qt+1,Mr+1);Kt=this._field[2].get(Qt+1,Mr+1),pt=Ue.get(Qt+1,Mr+1,0),jt=Ue.get(Qt+1,Mr+1,1),or=Ue.get(Qt+1,Mr+1,2),Le.intensity&&(Yr=Le.intensity.get(Qt,Mr));var Yr=Le.intensity?Le.intensity.get(Qt,Mr):Kt+this.objectOffset[2];Ge[Je++]=Qt,Ge[Je++]=Mr,Ge[Je++]=Gr,Ge[Je++]=Ir,Ge[Je++]=Kt,Ge[Je++]=0,Ge[Je++]=Yr,Ge[Je++]=pt,Ge[Je++]=jt,Ge[Je++]=or,Ar[0]=Math.min(Ar[0],Gr+this.objectOffset[0]),Ar[1]=Math.min(Ar[1],Ir+this.objectOffset[1]),Ar[2]=Math.min(Ar[2],Kt+this.objectOffset[2]),qr=Math.min(qr,Yr),ei[0]=Math.max(ei[0],Gr+this.objectOffset[0]),ei[1]=Math.max(ei[1],Ir+this.objectOffset[1]),ei[2]=Math.max(ei[2],Kt+this.objectOffset[2]),jr=Math.max(jr,Yr),We+=1}}for(Le.intensityBounds&&(qr=+Le.intensityBounds[0],jr=+Le.intensityBounds[1]),lt=6;lt<Je;lt+=10)Ge[lt]=(Ge[lt]-qr)/(jr-qr);this._vertexCount=We,this._coordinateBuffer.update(Ge.subarray(0,Je)),f.freeFloat(Ge),f.free(Ue.data),this.bounds=[Ar,ei],this.intensity=Le.intensity||this._field[2],(this.intensityBounds[0]!==qr||this.intensityBounds[1]!==jr)&&(Pe=!0),this.intensityBounds=[qr,jr]}if(\"levels\"in Le){var _i=Le.levels;for(Array.isArray(_i[0])?_i=_i.slice():_i=[[],[],_i],lt=0;lt<3;++lt)_i[lt]=_i[lt].slice(),_i[lt].sort(function(yn,Mn){return yn-Mn});for(lt=0;lt<3;++lt)for(rr=0;rr<_i[lt].length;++rr)_i[lt][rr]-=this.objectOffset[lt];e:for(lt=0;lt<3;++lt){if(_i[lt].length!==this.contourLevels[lt].length){Pe=!0;break}for(rr=0;rr<_i[lt].length;++rr)if(_i[lt][rr]!==this.contourLevels[lt][rr]){Pe=!0;break e}}this.contourLevels=_i}if(Pe){tt=this._field,He=this.shape;for(var Pi=[],ai=0;ai<3;++ai){var mi=this.contourLevels[ai],un=[],Fn=[],An=[0,0,0];for(lt=0;lt<mi.length;++lt){var Hn=b(this._field[ai],mi[lt]);un.push(Pi.length/5|0),We=0;e:for(rr=0;rr<Hn.cells.length;++rr){var Qn=Hn.cells[rr];for(At=0;At<2;++At){var Vi=Hn.positions[Qn[At]],Jn=Vi[0],Yn=Math.floor(Jn)|0,Gt=Jn-Yn,wt=Vi[1],tr=Math.floor(wt)|0,ir=wt-tr,wr=!1;t:for(var Xr=0;Xr<3;++Xr){An[Xr]=0;var ti=(ai+Xr+1)%3;for(et=0;et<2;++et){var $r=et?Gt:1-Gt;for(Qt=Math.min(Math.max(Yn+et,0),He[0])|0,xt=0;xt<2;++xt){var Ri=xt?ir:1-ir;if(Mr=Math.min(Math.max(tr+xt,0),He[1])|0,Xr<2?Kt=this._field[ti].get(Qt,Mr):Kt=(this.intensity.get(Qt,Mr)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Kt)||isNaN(Kt)){wr=!0;break t}var Hi=$r*Ri;An[Xr]+=Hi*Kt}}}if(!wr)Pi.push(An[0],An[1],Vi[0],Vi[1],An[2]),We+=1;else{if(At>0){for(var en=0;en<5;++en)Pi.pop();We-=1}continue e}}}Fn.push(We)}this._contourOffsets[ai]=un,this._contourCounts[ai]=Fn}var fn=f.mallocFloat(Pi.length);for(lt=0;lt<Pi.length;++lt)fn[lt]=Pi[lt];this._contourBuffer.update(fn),f.freeFloat(fn)}},j.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var Le=0;Le<3;++Le)f.freeFloat(this._field[Le].data)},j.highlight=function(Le){var me;if(!Le){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(me=0;me<3;++me)this.enableHighlight[me]?this.highlightLevel[me]=Le.level[me]:this.highlightLevel[me]=-1;var Pe;for(this.snapToData?Pe=Le.dataCoordinate:Pe=Le.position,me=0;me<3;++me)Pe[me]-=this.objectOffset[me];if(!((!this.enableDynamic[0]||Pe[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Pe[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Pe[2]===this.dynamicLevel[2]))){for(var ce=0,He=this.shape,lt=f.mallocFloat(12*He[0]*He[1]),mt=0;mt<3;++mt){if(!this.enableDynamic[mt]){this.dynamicLevel[mt]=NaN,this._dynamicCounts[mt]=0;continue}this.dynamicLevel[mt]=Pe[mt];var Ht=(mt+1)%3,at=(mt+2)%3,ct=this._field[mt],ar=this._field[Ht],Vt=this._field[at],rr=b(ct,Pe[mt]),tt=rr.cells,je=rr.positions;for(this._dynamicOffsets[mt]=ce,me=0;me<tt.length;++me)for(var Ue=tt[me],Ae=0;Ae<2;++Ae){var rt=je[Ue[Ae]],St=+rt[0],Tt=St|0,dt=Math.min(Tt+1,He[0])|0,Et=St-Tt,pt=1-Et,jt=+rt[1],or=jt|0,mr=Math.min(or+1,He[1])|0,Ar=jt-or,ei=1-Ar,qr=pt*ei,jr=pt*Ar,gt=Et*ei,Ge=Et*Ar,Je=qr*ar.get(Tt,or)+jr*ar.get(Tt,mr)+gt*ar.get(dt,or)+Ge*ar.get(dt,mr),We=qr*Vt.get(Tt,or)+jr*Vt.get(Tt,mr)+gt*Vt.get(dt,or)+Ge*Vt.get(dt,mr);if(isNaN(Je)||isNaN(We)){Ae&&(ce-=1);break}lt[2*ce+0]=Je,lt[2*ce+1]=We,ce+=1}this._dynamicCounts[mt]=ce-this._dynamicOffsets[mt]}this._dynamicBuffer.update(lt.subarray(0,2*ce)),f.freeFloat(lt)}};function Be(Le){var me=Le.gl,Pe=x(me),ce=S(me),He=C(me),lt=g(me),mt=l(me),Ht=u(me,[{buffer:mt,size:4,stride:P,offset:0},{buffer:mt,size:3,stride:P,offset:16},{buffer:mt,size:3,stride:P,offset:28}]),at=l(me),ct=u(me,[{buffer:at,size:4,stride:20,offset:0},{buffer:at,size:1,stride:20,offset:16}]),ar=l(me),Vt=u(me,[{buffer:ar,size:2,type:me.FLOAT}]),rr=c(me,1,G,me.RGBA,me.UNSIGNED_BYTE);rr.minFilter=me.LINEAR,rr.magFilter=me.LINEAR;var tt=new Z(me,[0,0],[[0,0,0],[0,0,0]],Pe,ce,mt,Ht,rr,He,lt,at,ct,ar,Vt,[0,0,0]),je={levels:[[],[],[]]};for(var Ue in Le)je[Ue]=Le[Ue];return je.colormap=je.colormap||\"jet\",tt.update(je),tt}}),7766:(function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=g;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var m=function(P,E){l.muls(P,E,255)};function b(P,E,z){var q=P.gl,V=q.getParameter(q.MAX_TEXTURE_SIZE);if(E<0||E>V||z<0||z>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[E,z],P.bind(),q.texImage2D(q.TEXTURE_2D,0,P.format,E,z,0,P.format,P.type,null),P._mipLevels=[0],P}function p(P,E,z,q,V,G){this.gl=P,this.handle=E,this.format=V,this.type=G,this._shape=[z,q],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var Z=this,j=[this._wrapS,this._wrapT];Object.defineProperties(j,[{get:function(){return Z._wrapS},set:function(H){return Z.wrapS=H}},{get:function(){return Z._wrapT},set:function(H){return Z.wrapT=H}}]),this._wrapVector=j;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return Z._shape[0]},set:function(H){return Z.width=H}},{get:function(){return Z._shape[1]},set:function(H){return Z.height=H}}]),this._shapeVector=N}var k=p.prototype;Object.defineProperties(k,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var E=this.gl;if(this.type===E.FLOAT&&c.indexOf(P)>=0&&(E.getExtension(\"OES_texture_float_linear\")||(P=E.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return E.texParameteri(E.TEXTURE_2D,E.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var E=this.gl;if(this.type===E.FLOAT&&c.indexOf(P)>=0&&(E.getExtension(\"OES_texture_float_linear\")||(P=E.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return E.texParameteri(E.TEXTURE_2D,E.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var E=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,E!==this._anisoSamples){var z=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");z&&this.gl.texParameterf(this.gl.TEXTURE_2D,z.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var E=0;E<2;++E)if(h.indexOf(P[E])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var z=this.gl;return this.bind(),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_S,this._wrapS),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),k.bind=function(P){var E=this.gl;return P!==void 0&&E.activeTexture(E.TEXTURE0+(P|0)),E.bindTexture(E.TEXTURE_2D,this.handle),P!==void 0?P|0:E.getParameter(E.ACTIVE_TEXTURE)-E.TEXTURE0},k.dispose=function(){this.gl.deleteTexture(this.handle)},k.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),E=0;P>0;++E,P>>>=1)this._mipLevels.indexOf(E)<0&&this._mipLevels.push(E)},k.setPixels=function(P,E,z,q){var V=this.gl;this.bind(),Array.isArray(E)?(q=z,z=E[1]|0,E=E[0]|0):(E=E||0,z=z||0),q=q||0;var G=v(P)?P:P.raw;if(G){var Z=this._mipLevels.indexOf(q)<0;Z?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,G),this._mipLevels.push(q)):V.texSubImage2D(V.TEXTURE_2D,q,E,z,this.format,this.type,G)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||E+P.shape[1]>this._shape[1]>>>q||z+P.shape[0]>this._shape[0]>>>q||E<0||z<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");T(V,E,z,q,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function M(P,E){return P.length===3?E[2]===1&&E[1]===P[0]*P[2]&&E[0]===P[2]:E[0]===1&&E[1]===P[0]}function T(P,E,z,q,V,G,Z,j){var N=j.dtype,H=j.shape.slice();if(H.length<2||H.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var re=0,ae=0,_e=M(H,j.stride.slice());N===\"float32\"?re=P.FLOAT:N===\"float64\"?(re=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?re=P.UNSIGNED_BYTE:(re=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Ee=1;if(H.length===2)ae=P.LUMINANCE,H=[H[0],H[1],1],j=s(j.data,H,[j.stride[0],j.stride[1],1],j.offset);else if(H.length===3){if(H[2]===1)ae=P.ALPHA;else if(H[2]===2)ae=P.LUMINANCE_ALPHA;else if(H[2]===3)ae=P.RGB;else if(H[2]===4)ae=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Ee=H[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((ae===P.LUMINANCE||ae===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(ae=V),ae!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var Ce=j.size,ge=Z.indexOf(q)<0;if(ge&&Z.push(q),re===G&&_e)j.offset===0&&j.data.length===Ce?ge?P.texImage2D(P.TEXTURE_2D,q,V,H[0],H[1],0,V,G,j.data):P.texSubImage2D(P.TEXTURE_2D,q,E,z,H[0],H[1],V,G,j.data):ge?P.texImage2D(P.TEXTURE_2D,q,V,H[0],H[1],0,V,G,j.data.subarray(j.offset,j.offset+Ce)):P.texSubImage2D(P.TEXTURE_2D,q,E,z,H[0],H[1],V,G,j.data.subarray(j.offset,j.offset+Ce));else{var ie;G===P.FLOAT?ie=u.mallocFloat32(Ce):ie=u.mallocUint8(Ce);var 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z=this.shape[0],q=this.shape[1],V=this.shape[2],G=this.shape[3],Z=this.shape[4],j=this.stride[0],N=this.stride[1],H=this.stride[2],re=this.stride[3],ae=this.stride[4],_e=this.offset,Ee=0,Ce=Math.ceil;return typeof C==\"number\"&&(Ee=C|0,Ee<0?(_e+=j*(z-1),z=Ce(-z/Ee)):z=Ce(z/Ee),j*=Ee),typeof S==\"number\"&&(Ee=S|0,Ee<0?(_e+=N*(q-1),q=Ce(-q/Ee)):q=Ce(q/Ee),N*=Ee),typeof g==\"number\"&&(Ee=g|0,Ee<0?(_e+=H*(V-1),V=Ce(-V/Ee)):V=Ce(V/Ee),H*=Ee),typeof P==\"number\"&&(Ee=P|0,Ee<0?(_e+=re*(G-1),G=Ce(-G/Ee)):G=Ce(G/Ee),re*=Ee),typeof E==\"number\"&&(Ee=E|0,Ee<0?(_e+=ae*(Z-1),Z=Ce(-Z/Ee)):Z=Ce(Z/Ee),ae*=Ee),new T(this.data,z,q,V,G,Z,j,N,H,re,ae,_e)},L.transpose=function(C,S,g,P,E){C=C===void 0?0:C|0,S=S===void 0?1:S|0,g=g===void 0?2:g|0,P=P===void 0?3:P|0,E=E===void 0?4:E|0;var z=this.shape,q=this.stride;return new T(this.data,z[C],z[S],z[g],z[P],z[E],q[C],q[S],q[g],q[P],q[E],this.offset)},L.pick=function(C,S,g,P,E){var z=[],q=[],V=this.offset;typeof 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Int32Array]\":return\"int32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(b)?\"array\":\"generic\"}var v={generic:[],buffer:[],array:[],float32:[],float64:[],int8:[],int16:[],int32:[],uint8_clamped:[],uint8:[],uint16:[],uint32:[],bigint64:[],biguint64:[]};function m(b,p,k,M){if(b===void 0){var g=v.array[0];return g([])}else typeof b==\"number\"&&(b=[b]);p===void 0&&(p=[b.length]);var T=p.length;if(k===void 0){k=new Array(T);for(var L=T-1,x=1;L>=0;--L)k[L]=x,x*=p[L]}if(M===void 0){M=0;for(var L=0;L<T;++L)k[L]<0&&(M-=(p[L]-1)*k[L])}for(var C=d(b),S=v[C];S.length<=T+1;)S.push(h(C,S.length-1));var g=S[T+1];return g(b,p,k,M)}i.exports=m}),1278:(function(i,a,o){\"use strict\";var 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g=0;g<3;++g){for(var P=0,E=0;E<3;++E)P+=T[g+4*E]*x[E];T[12+g]=-P}},b.getMatrix=function(k,M){this.recalcMatrix(k);var T=this.computedMatrix;if(M){for(var L=0;L<16;++L)M[L]=T[L];return M}return T},b.idle=function(k){this.center.idle(k),this.radius.idle(k),this.rotation.idle(k)},b.flush=function(k){this.center.flush(k),this.radius.flush(k),this.rotation.flush(k)},b.pan=function(k,M,T,L){M=M||0,T=T||0,L=L||0,this.recalcMatrix(k);var x=this.computedMatrix,C=x[1],S=x[5],g=x[9],P=h(C,S,g);C/=P,S/=P,g/=P;var E=x[0],z=x[4],q=x[8],V=E*C+z*S+q*g;E-=C*V,z-=S*V,q-=g*V;var G=h(E,z,q);E/=G,z/=G,q/=G;var Z=x[2],j=x[6],N=x[10],H=Z*C+j*S+N*g,re=Z*E+j*z+N*q;Z-=H*C+re*E,j-=H*S+re*z,N-=H*g+re*q;var ae=h(Z,j,N);Z/=ae,j/=ae,N/=ae;var _e=E*M+C*T,Ee=z*M+S*T,Ce=q*M+g*T;this.center.move(k,_e,Ee,Ce);var ge=Math.exp(this.computedRadius[0]);ge=Math.max(1e-4,ge+L),this.radius.set(k,Math.log(ge))},b.rotate=function(k,M,T,L){this.recalcMatrix(k),M=M||0,T=T||0;var x=this.computedMatrix,C=x[0],S=x[4],g=x[8],P=x[1],E=x[5],z=x[9],q=x[2],V=x[6],G=x[10],Z=M*C+T*P,j=M*S+T*E,N=M*g+T*z,H=-(V*N-G*j),re=-(G*Z-q*N),ae=-(q*j-V*Z),_e=Math.sqrt(Math.max(0,1-Math.pow(H,2)-Math.pow(re,2)-Math.pow(ae,2))),Ee=d(H,re,ae,_e);Ee>1e-6?(H/=Ee,re/=Ee,ae/=Ee,_e/=Ee):(H=re=ae=0,_e=1);var Ce=this.computedRotation,ge=Ce[0],ie=Ce[1],Se=Ce[2],ke=Ce[3],be=ge*_e+ke*H+ie*ae-Se*re,Be=ie*_e+ke*re+Se*H-ge*ae,Le=Se*_e+ke*ae+ge*re-ie*H,me=ke*_e-ge*H-ie*re-Se*ae;if(L){H=q,re=V,ae=G;var Pe=Math.sin(L)/h(H,re,ae);H*=Pe,re*=Pe,ae*=Pe,_e=Math.cos(M),be=be*_e+me*H+Be*ae-Le*re,Be=Be*_e+me*re+Le*H-be*ae,Le=Le*_e+me*ae+be*re-Be*H,me=me*_e-be*H-Be*re-Le*ae}var ce=d(be,Be,Le,me);ce>1e-6?(be/=ce,Be/=ce,Le/=ce,me/=ce):(be=Be=Le=0,me=1),this.rotation.set(k,be,Be,Le,me)},b.lookAt=function(k,M,T,L){this.recalcMatrix(k),T=T||this.computedCenter,M=M||this.computedEye,L=L||this.computedUp;var x=this.computedMatrix;l(x,M,T,L);var C=this.computedRotation;f(C,x[0],x[1],x[2],x[4],x[5],x[6],x[8],x[9],x[10]),v(C,C),this.rotation.set(k,C[0],C[1],C[2],C[3]);for(var S=0,g=0;g<3;++g)S+=Math.pow(T[g]-M[g],2);this.radius.set(k,.5*Math.log(Math.max(S,1e-6))),this.center.set(k,T[0],T[1],T[2])},b.translate=function(k,M,T,L){this.center.move(k,M||0,T||0,L||0)},b.setMatrix=function(k,M){var T=this.computedRotation;f(T,M[0],M[1],M[2],M[4],M[5],M[6],M[8],M[9],M[10]),v(T,T),this.rotation.set(k,T[0],T[1],T[2],T[3]);var L=this.computedMatrix;c(L,M);var x=L[15];if(Math.abs(x)>1e-6){var C=L[12]/x,S=L[13]/x,g=L[14]/x;this.recalcMatrix(k);var P=Math.exp(this.computedRadius[0]);this.center.set(k,C-L[2]*P,S-L[6]*P,g-L[10]*P),this.radius.idle(k)}else 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9:m.push([l(h,f,p[3],p[1]),l(h,f,p[0],p[1]),l(h,f,p[0],p[2])],[l(h,f,p[3],p[2]),l(h,f,p[3],p[1]),l(h,f,p[0],p[2])]);break;case 10:m.push([l(h,f,p[1],p[0]),l(h,f,p[3],p[0]),l(h,f,p[1],p[2])],[l(h,f,p[3],p[0]),l(h,f,p[3],p[2]),l(h,f,p[1],p[2])]);break;case 11:m.push([l(h,f,p[1],p[2]),l(h,f,p[0],p[2]),l(h,f,p[3],p[2])]);break;case 12:m.push([l(h,f,p[3],p[0]),l(h,f,p[2],p[0]),l(h,f,p[2],p[1])],[l(h,f,p[3],p[1]),l(h,f,p[3],p[0]),l(h,f,p[2],p[1])]);break;case 13:m.push([l(h,f,p[0],p[1]),l(h,f,p[2],p[1]),l(h,f,p[3],p[1])]);break;case 14:m.push([l(h,f,p[2],p[0]),l(h,f,p[1],p[0]),l(h,f,p[3],p[0])]);break;case 15:break}}else if(k===3){var M=(d[p[0]]<<0)+(d[p[1]]<<1)+(d[p[2]]<<2);if(M===0||M===7)continue;switch(M){case 0:break;case 1:m.push([l(h,f,p[0],p[2]),l(h,f,p[0],p[1])]);break;case 2:m.push([l(h,f,p[1],p[0]),l(h,f,p[1],p[2])]);break;case 3:m.push([l(h,f,p[0],p[2]),l(h,f,p[1],p[2])]);break;case 4:m.push([l(h,f,p[2],p[1]),l(h,f,p[2],p[0])]);break;case 5:m.push([l(h,f,p[2],p[1]),l(h,f,p[0],p[1])]);break;case 6:m.push([l(h,f,p[1],p[0]),l(h,f,p[2],p[0])]);break;case 7:break}}else if(k===2){var M=(d[p[0]]<<0)+(d[p[1]]<<1);if(M===0||M===3)continue;switch(M){case 0:break;case 1:m.push([l(h,f,p[0],p[1])]);break;case 2:m.push([l(h,f,p[1],p[0])]);break;case 3:break}}}return m}return u}];function o(s){return a[s]()}}),6803:(function(i,a,o){\"use strict\";var s,l=o(8828),u=o(1755);function c(P){for(var E=0,z=Math.max,q=0,V=P.length;q<V;++q)E=z(E,P[q].length);return E-1}s=c;function f(P){for(var E=-1,z=Math.max,q=0,V=P.length;q<V;++q)for(var G=P[q],Z=0,j=G.length;Z<j;++Z)E=z(E,G[Z]);return E+1}s=f;function h(P){for(var E=new Array(P.length),z=0,q=P.length;z<q;++z)E[z]=P[z].slice(0);return E}s=h;function d(P,E){var z=P.length,q=P.length-E.length,V=Math.min;if(q)return q;switch(z){case 0:return 0;case 1:return P[0]-E[0];case 2:var H=P[0]+P[1]-E[0]-E[1];return H||V(P[0],P[1])-V(E[0],E[1]);case 3:var 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V=P[q],G=0;G<V.length;++G)for(var Z=G+1;Z<V.length;++Z)z.link(V[G],V[Z]);for(var j=[],N=z.ranks,q=0;q<N.length;++q)N[q]=-1;for(var q=0;q<P.length;++q){var H=z.find(P[q][0]);N[H]<0?(N[H]=j.length,j.push([P[q].slice(0)])):j[N[H]].push(P[q].slice(0))}return j}function S(P){for(var E=b(m(L(P,0))),z=new u(E.length),q=0;q<P.length;++q)for(var V=P[q],G=0;G<V.length;++G)for(var Z=p(E,[V[G]]),j=G+1;j<V.length;++j)z.link(Z,p(E,[V[j]]));for(var N=[],H=z.ranks,q=0;q<H.length;++q)H[q]=-1;for(var q=0;q<P.length;++q){var re=z.find(p(E,[P[q][0]]));H[re]<0?(H[re]=N.length,N.push([P[q].slice(0)])):N[H[re]].push(P[q].slice(0))}return N}function g(P,E){return E?C(P,E):S(P)}s=g}),3105:(function(i,a){\"use strict\";\"use restrict\";var o=32;a.INT_BITS=o,a.INT_MAX=2147483647,a.INT_MIN=-1<<o-1,a.sign=function(u){return(u>0)-(u<0)},a.abs=function(u){var c=u>>o-1;return(u^c)-c},a.min=function(u,c){return c^(u^c)&-(u<c)},a.max=function(u,c){return u^(u^c)&-(u<c)},a.isPow2=function(u){return!(u&u-1)&&!!u},a.log2=function(u){var c,f;return c=(u>65535)<<4,u>>>=c,f=(u>255)<<3,u>>>=f,c|=f,f=(u>15)<<2,u>>>=f,c|=f,f=(u>3)<<1,u>>>=f,c|=f,c|u>>1},a.log10=function(u){return u>=1e9?9:u>=1e8?8:u>=1e7?7:u>=1e6?6:u>=1e5?5:u>=1e4?4:u>=1e3?3:u>=100?2:u>=10?1:0},a.popCount=function(u){return u=u-(u>>>1&1431655765),u=(u&858993459)+(u>>>2&858993459),(u+(u>>>4)&252645135)*16843009>>>24};function s(u){var c=32;return u&=-u,u&&c--,u&65535&&(c-=16),u&16711935&&(c-=8),u&252645135&&(c-=4),u&858993459&&(c-=2),u&1431655765&&(c-=1),c}a.countTrailingZeros=s,a.nextPow2=function(u){return u+=u===0,--u,u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u+1},a.prevPow2=function(u){return u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u-(u>>>1)},a.parity=function(u){return u^=u>>>16,u^=u>>>8,u^=u>>>4,u&=15,27030>>>u&1};var l=new Array(256);(function(u){for(var c=0;c<256;++c){var 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u=u>>>c&1227133513,u=(u|u>>>2)&3272356035,u=(u|u>>>4)&251719695,u=(u|u>>>8)&4278190335,u=(u|u>>>16)&1023,u<<22>>22},a.nextCombination=function(u){var c=u|u-1;return c+1|(~c&-~c)-1>>>s(u)+1}}),2014:(function(i,a,o){\"use strict\";\"use restrict\";var s=o(3105),l=o(4623);function u(g){for(var P=0,E=Math.max,z=0,q=g.length;z<q;++z)P=E(P,g[z].length);return P-1}a.dimension=u;function c(g){for(var P=-1,E=Math.max,z=0,q=g.length;z<q;++z)for(var V=g[z],G=0,Z=V.length;G<Z;++G)P=E(P,V[G]);return P+1}a.countVertices=c;function f(g){for(var P=new Array(g.length),E=0,z=g.length;E<z;++E)P[E]=g[E].slice(0);return P}a.cloneCells=f;function h(g,P){var E=g.length,z=g.length-P.length,q=Math.min;if(z)return z;switch(E){case 0:return 0;case 1:return g[0]-P[0];case 2:var N=g[0]+g[1]-P[0]-P[1];return N||q(g[0],g[1])-q(P[0],P[1]);case 3:var V=g[0]+g[1],G=P[0]+P[1];if(N=V+g[2]-(G+P[2]),N)return N;var Z=q(g[0],g[1]),j=q(P[0],P[1]),N=q(Z,g[2])-q(j,P[2]);return N||q(Z+g[2],V)-q(j+P[2],G);default:var 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b(T,L,x,C,S,g,P,E){this.center=s(x),this.up=s(C),this.right=s(S),this.radius=s([g]),this.angle=s([P,E]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(T,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var z=0;z<16;++z)this.computedMatrix[z]=.5;this.recalcMatrix(0)}var p=b.prototype;p.setDistanceLimits=function(T,L){T>0?T=Math.log(T):T=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,T),this.radius.bounds[0][0]=T,this.radius.bounds[1][0]=L},p.getDistanceLimits=function(T){var L=this.radius.bounds[0];return T?(T[0]=Math.exp(L[0][0]),T[1]=Math.exp(L[1][0]),T):[Math.exp(L[0][0]),Math.exp(L[1][0])]},p.recalcMatrix=function(T){this.center.curve(T),this.up.curve(T),this.right.curve(T),this.radius.curve(T),this.angle.curve(T);for(var L=this.computedUp,x=this.computedRight,C=0,S=0,g=0;g<3;++g)S+=L[g]*x[g],C+=L[g]*L[g];for(var P=Math.sqrt(C),E=0,g=0;g<3;++g)x[g]-=L[g]*S/C,E+=x[g]*x[g],L[g]/=P;for(var z=Math.sqrt(E),g=0;g<3;++g)x[g]/=z;var q=this.computedToward;c(q,L,x),f(q,q);for(var V=Math.exp(this.computedRadius[0]),G=this.computedAngle[0],Z=this.computedAngle[1],j=Math.cos(G),N=Math.sin(G),H=Math.cos(Z),re=Math.sin(Z),ae=this.computedCenter,_e=j*H,Ee=N*H,Ce=re,ge=-j*re,ie=-N*re,Se=H,ke=this.computedEye,be=this.computedMatrix,g=0;g<3;++g){var Be=_e*x[g]+Ee*q[g]+Ce*L[g];be[4*g+1]=ge*x[g]+ie*q[g]+Se*L[g],be[4*g+2]=Be,be[4*g+3]=0}var Le=be[1],me=be[5],Pe=be[9],ce=be[2],He=be[6],lt=be[10],mt=me*lt-Pe*He,Ht=Pe*ce-Le*lt,at=Le*He-me*ce,ct=d(mt,Ht,at);mt/=ct,Ht/=ct,at/=ct,be[0]=mt,be[4]=Ht,be[8]=at;for(var g=0;g<3;++g)ke[g]=ae[g]+be[2+4*g]*V;for(var g=0;g<3;++g){for(var E=0,ar=0;ar<3;++ar)E+=be[g+4*ar]*ke[ar];be[12+g]=-E}be[15]=1},p.getMatrix=function(T,L){this.recalcMatrix(T);var x=this.computedMatrix;if(L){for(var C=0;C<16;++C)L[C]=x[C];return L}return x};var k=[0,0,0];p.rotate=function(T,L,x,C){if(this.angle.move(T,L,x),C){this.recalcMatrix(T);var S=this.computedMatrix;k[0]=S[2],k[1]=S[6],k[2]=S[10];for(var g=this.computedUp,P=this.computedRight,E=this.computedToward,z=0;z<3;++z)S[4*z]=g[z],S[4*z+1]=P[z],S[4*z+2]=E[z];u(S,S,C,k);for(var z=0;z<3;++z)g[z]=S[4*z],P[z]=S[4*z+1];this.up.set(T,g[0],g[1],g[2]),this.right.set(T,P[0],P[1],P[2])}},p.pan=function(T,L,x,C){L=L||0,x=x||0,C=C||0,this.recalcMatrix(T);var S=this.computedMatrix,g=Math.exp(this.computedRadius[0]),P=S[1],E=S[5],z=S[9],q=d(P,E,z);P/=q,E/=q,z/=q;var V=S[0],G=S[4],Z=S[8],j=V*P+G*E+Z*z;V-=P*j,G-=E*j,Z-=z*j;var N=d(V,G,Z);V/=N,G/=N,Z/=N;var H=V*L+P*x,re=G*L+E*x,ae=Z*L+z*x;this.center.move(T,H,re,ae);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+C),this.radius.set(T,Math.log(_e))},p.translate=function(T,L,x,C){this.center.move(T,L||0,x||0,C||0)},p.setMatrix=function(T,L,x,C){var S=1;typeof x==\"number\"&&(S=x|0),(S<0||S>3)&&(S=1);var g=(S+2)%3,P=(S+1)%3;L||(this.recalcMatrix(T),L=this.computedMatrix);var E=L[S],z=L[S+4],q=L[S+8];if(C){var G=Math.abs(E),Z=Math.abs(z),j=Math.abs(q),N=Math.max(G,Z,j);G===N?(E=E<0?-1:1,z=q=0):j===N?(q=q<0?-1:1,E=z=0):(z=z<0?-1:1,E=q=0)}else{var V=d(E,z,q);E/=V,z/=V,q/=V}var H=L[g],re=L[g+4],ae=L[g+8],_e=H*E+re*z+ae*q;H-=E*_e,re-=z*_e,ae-=q*_e;var Ee=d(H,re,ae);H/=Ee,re/=Ee,ae/=Ee;var Ce=z*ae-q*re,ge=q*H-E*ae,ie=E*re-z*H,Se=d(Ce,ge,ie);Ce/=Se,ge/=Se,ie/=Se,this.center.jump(T,Ue,Ae,rt),this.radius.idle(T),this.up.jump(T,E,z,q),this.right.jump(T,H,re,ae);var ke,be;if(S===2){var Be=L[1],Le=L[5],me=L[9],Pe=Be*H+Le*re+me*ae,ce=Be*Ce+Le*ge+me*ie;Ht<0?ke=-Math.PI/2:ke=Math.PI/2,be=Math.atan2(ce,Pe)}else{var He=L[2],lt=L[6],mt=L[10],Ht=He*E+lt*z+mt*q,at=He*H+lt*re+mt*ae,ct=He*Ce+lt*ge+mt*ie;ke=Math.asin(v(Ht)),be=Math.atan2(ct,at)}this.angle.jump(T,be,ke),this.recalcMatrix(T);var ar=L[2],Vt=L[6],rr=L[10],tt=this.computedMatrix;l(tt,L);var je=tt[15],Ue=tt[12]/je,Ae=tt[13]/je,rt=tt[14]/je,St=Math.exp(this.computedRadius[0]);this.center.jump(T,Ue-ar*St,Ae-Vt*St,rt-rr*St)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(T){this.center.idle(T),this.up.idle(T),this.right.idle(T),this.radius.idle(T),this.angle.idle(T)},p.flush=function(T){this.center.flush(T),this.up.flush(T),this.right.flush(T),this.radius.flush(T),this.angle.flush(T)},p.setDistance=function(T,L){L>0&&this.radius.set(T,Math.log(L))},p.lookAt=function(T,L,x,C){this.recalcMatrix(T),L=L||this.computedEye,x=x||this.computedCenter,C=C||this.computedUp;var S=C[0],g=C[1],P=C[2],E=d(S,g,P);if(!(E<1e-6)){S/=E,g/=E,P/=E;var z=L[0]-x[0],q=L[1]-x[1],V=L[2]-x[2],G=d(z,q,V);if(!(G<1e-6)){z/=G,q/=G,V/=G;var Z=this.computedRight,j=Z[0],N=Z[1],H=Z[2],re=S*j+g*N+P*H;j-=re*S,N-=re*g,H-=re*P;var 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Uint16Array;case\"uint32\":return Uint32Array;case\"float32\":return Float32Array;case\"float64\":return Float64Array;case\"array\":return Array;case\"uint8_clamped\":return Uint8ClampedArray}}});var lx=ye((Rgr,NPe)=>{\"use strict\";var IIt=qPe(),nF=ak(),RIt=iF();NPe.exports=function(t,r){(r===\"float\"||!r)&&(r=\"array\"),r===\"uint\"&&(r=\"uint8\"),r===\"uint_clamped\"&&(r=\"uint8_clamped\");var n=RIt(r),i=new n(4),a=r!==\"uint8\"&&r!==\"uint8_clamped\";return(!t.length||typeof t==\"string\")&&(t=IIt(t),t[0]/=255,t[1]/=255,t[2]/=255),DIt(t)?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:255,a&&(i[0]/=255,i[1]/=255,i[2]/=255,i[3]/=255),i):(a?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:1):(i[0]=nF(Math.floor(t[0]*255),0,255),i[1]=nF(Math.floor(t[1]*255),0,255),i[2]=nF(Math.floor(t[2]*255),0,255),i[3]=t[3]==null?255:nF(Math.floor(t[3]*255),0,255)),i)};function DIt(e){return!!(e instanceof Uint8Array||e instanceof Uint8ClampedArray||Array.isArray(e)&&(e[0]>1||e[0]===0)&&(e[1]>1||e[1]===0)&&(e[2]>1||e[2]===0)&&(!e[3]||e[3]>1))}});var a1=ye((Dgr,UPe)=>{\"use strict\";var FIt=lx();function zIt(e){return e?FIt(e):[0,0,0,1]}UPe.exports=zIt});var o1=ye((Fgr,ZPe)=>{\"use strict\";var WPe=Eo(),qIt=fd(),aF=lx(),oF=tc(),OIt=Ih().defaultLine,VPe=Yd().isArrayOrTypedArray,EX=aF(OIt),XPe=1;function GPe(e,t){var r=e;return r[3]*=t,r}function HPe(e){if(WPe(e))return EX;var t=aF(e);return t.length?t:EX}function jPe(e){return WPe(e)?e:XPe}function BIt(e,t,r){var n=e.color;n&&n._inputArray&&(n=n._inputArray);var i=VPe(n),a=VPe(t),o=oF.extractOpts(e),s=[],l,u,c,f,h;if(o.colorscale!==void 0?l=oF.makeColorScaleFuncFromTrace(e):l=HPe,i?u=function(v,m){return v[m]===void 0?EX:aF(l(v[m]))}:u=HPe,a?c=function(v,m){return v[m]===void 0?XPe:jPe(v[m])}:c=jPe,i||a)for(var d=0;d<r;d++)f=u(n,d),h=c(t,d),s[d]=GPe(f,h);else s=GPe(aF(n),t);return s}function NIt(e){var t=oF.extractOpts(e),r=t.colorscale;return t.reversescale&&(r=oF.flipScale(t.colorscale)),r.map(function(n){var i=n[0],a=qIt(n[1]),o=a.toRgb();return{index:i,rgb:[o.r,o.g,o.b,o.a]}})}ZPe.exports={formatColor:BIt,parseColorScale:NIt}});var kX=ye((zgr,YPe)=>{\"use strict\";YPe.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}});var sF=ye((qgr,KPe)=>{\"use strict\";KPe.exports={circle:\"\\u25CF\",\"circle-open\":\"\\u25CB\",square:\"\\u25A0\",\"square-open\":\"\\u25A1\",diamond:\"\\u25C6\",\"diamond-open\":\"\\u25C7\",cross:\"+\",x:\"\\u274C\"}});var $Pe=ye((Ogr,JPe)=>{\"use strict\";var UIt=Oa();function CX(e,t,r,n){if(!t||!t.visible)return null;for(var i=UIt.getComponentMethod(\"errorbars\",\"makeComputeError\")(t),a=new Array(e.length),o=0;o<e.length;o++){var s=i(+e[o],o);if(n.type===\"log\"){var l=n.c2l(e[o]),u=e[o]-s[0],c=e[o]+s[1];if(a[o]=[(n.c2l(u,!0)-l)*r,(n.c2l(c,!0)-l)*r],u>0){var f=n.c2l(u);n._lowerLogErrorBound||(n._lowerLogErrorBound=f),n._lowerErrorBound=Math.min(n._lowerLogErrorBound,f)}}else a[o]=[-s[0]*r,s[1]*r]}return a}function VIt(e){for(var t=0;t<e.length;t++)if(e[t])return e[t].length;return 0}function GIt(e,t,r){var n=[CX(e.x,e.error_x,t[0],r.xaxis),CX(e.y,e.error_y,t[1],r.yaxis),CX(e.z,e.error_z,t[2],r.zaxis)],i=VIt(n);if(i===0)return null;for(var a=new Array(i),o=0;o<i;o++){for(var s=[[0,0,0],[0,0,0]],l=0;l<3;l++)if(n[l])for(var u=0;u<2;u++)s[u][l]=n[l][o][u];a[o]=s}return a}JPe.exports=GIt});var sIe=ye((Bgr,oIe)=>{\"use strict\";var HIt=qd().gl_line3d,QPe=qd().gl_scatter3d,jIt=qd().gl_error3d,WIt=qd().gl_mesh3d,XIt=qd().delaunay_triangulate,s1=Pr(),nIe=a1(),lF=o1().formatColor,ZIt=U3(),LX=kX(),YIt=sF(),KIt=ho(),JIt=ip().appendArrayPointValue,$It=$Pe();function aIe(e,t){this.scene=e,this.uid=t,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=\"\",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var IX=aIe.prototype;IX.handlePick=function(e){if(e.object&&(e.object===this.linePlot||e.object===this.delaunayMesh||e.object===this.textMarkers||e.object===this.scatterPlot)){var t=e.index=e.data.index;return e.object.highlight&&e.object.highlight(null),this.scatterPlot&&(e.object=this.scatterPlot,this.scatterPlot.highlight(e.data)),e.textLabel=\"\",this.textLabels&&(s1.isArrayOrTypedArray(this.textLabels)?(this.textLabels[t]||this.textLabels[t]===0)&&(e.textLabel=this.textLabels[t]):e.textLabel=this.textLabels),e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]],!0}};function QIt(e,t,r){var n=(r+1)%3,i=(r+2)%3,a=[],o=[],s;for(s=0;s<e.length;++s){var 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0&&(l*=e.marker.opacity),n={gl:this.scene.glplot.gl,position:s.position,color:s.scatterColor,size:s.scatterSize,glyph:s.scatterMarker,opacity:l,orthographic:!0,lineWidth:s.scatterLineWidth,lineColor:s.scatterLineColor,project:s.project,projectScale:s.projectScale,projectOpacity:s.projectOpacity},this.mode.indexOf(\"markers\")!==-1?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=QPe(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:this.scene.glplot.gl,position:s.position,glyph:s.text,color:s.textColor,size:s.textSize,angle:s.textAngle,alignment:s.textOffset,font:s.textFontFamily,fontWeight:s.textFontWeight,fontStyle:s.textFontStyle,fontVariant:s.textFontVariant,orthographic:!0,lineWidth:0,project:!1,opacity:e.opacity},this.textLabels=e.hovertext||e.text,this.mode.indexOf(\"text\")!==-1?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=QPe(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),i={gl:this.scene.glplot.gl,position:s.position,color:s.errorColor,error:s.errorBounds,lineWidth:s.errorLineWidth,capSize:s.errorCapSize,opacity:e.opacity},this.errorBars?s.errorBounds?this.errorBars.update(i):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):s.errorBounds&&(this.errorBars=jIt(i),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),s.delaunayAxis>=0){var u=QIt(s.position,s.delaunayColor,s.delaunayAxis);u.opacity=e.opacity,this.delaunayMesh?this.delaunayMesh.update(u):(u.gl=t,this.delaunayMesh=WIt(u),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)};IX.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())};function a8t(e,t){var r=new aIe(e,t.uid);return r.update(t),r}oIe.exports=a8t});var qX=ye((Ngr,fIe)=>{\"use strict\";var l1=pf(),o8t=ec(),zX=Tu(),RX=vf().axisHoverFormat,{hovertemplateAttrs:s8t,texttemplateAttrs:l8t,templatefallbackAttrs:lIe}=Pl(),uIe=Vl(),u8t=kX(),c8t=sF(),$g=Ao().extendFlat,f8t=mc().overrideAll,cIe=r_(),h8t=l1.line,Q2=l1.marker,d8t=Q2.line,v8t=$g({width:h8t.width,dash:{valType:\"enumerated\",values:cIe(u8t),dflt:\"solid\"}},zX(\"line\"));function DX(e){return{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}}var FX=fIe.exports=f8t({x:l1.x,y:l1.y,z:{valType:\"data_array\"},text:$g({},l1.text,{}),texttemplate:l8t(),texttemplatefallback:lIe({editType:\"calc\"}),hovertext:$g({},l1.hovertext,{}),hovertemplate:s8t(),hovertemplatefallback:lIe(),xhoverformat:RX(\"x\"),yhoverformat:RX(\"y\"),zhoverformat:RX(\"z\"),mode:$g({},l1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:DX(\"x\"),y:DX(\"y\"),z:DX(\"z\")},connectgaps:l1.connectgaps,line:v8t,marker:$g({symbol:{valType:\"enumerated\",values:cIe(c8t),dflt:\"circle\",arrayOk:!0},size:$g({},Q2.size,{dflt:8}),sizeref:Q2.sizeref,sizemin:Q2.sizemin,sizemode:Q2.sizemode,opacity:$g({},Q2.opacity,{arrayOk:!1}),colorbar:Q2.colorbar,line:$g({width:$g({},d8t.width,{arrayOk:!1})},zX(\"marker.line\"))},zX(\"marker\")),textposition:$g({},l1.textposition,{dflt:\"top center\"}),textfont:o8t({noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,editType:\"calc\",colorEditType:\"style\",arrayOk:!0,variantValues:[\"normal\",\"small-caps\"]}),opacity:uIe.opacity,hoverinfo:$g({},uIe.hoverinfo)},\"calc\",\"nested\");FX.x.editType=FX.y.editType=FX.z.editType=\"calc+clearAxisTypes\"});var vIe=ye((Ugr,dIe)=>{\"use strict\";var hIe=Oa(),p8t=Pr(),OX=Ru(),g8t=$p(),m8t=D0(),y8t=F0(),_8t=qX();dIe.exports=function(t,r,n,i){function a(d,v){return p8t.coerce(t,r,_8t,d,v)}var o=x8t(t,r,a,i);if(!o){r.visible=!1;return}a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),a(\"mode\"),OX.hasMarkers(r)&&g8t(t,r,n,i,a,{noAngle:!0,noLineDash:!0,noSelect:!0}),OX.hasLines(r)&&(a(\"connectgaps\"),m8t(t,r,n,i,a)),OX.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),y8t(t,r,i,a,{noSelect:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=hIe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function x8t(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=hIe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var gIe=ye((Vgr,pIe)=>{\"use strict\";var b8t=Dm(),w8t=z0();pIe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return b8t(n,r),w8t(t,r),n}});var yIe=ye((Ggr,mIe)=>{mIe.exports=T8t;function T8t(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var xIe=ye((Hgr,_Ie)=>{var A8t=yIe();_Ie.exports=function(t){return A8t(\"webgl\",t)}});var BX=ye((jgr,wIe)=>{\"use strict\";var bIe=ka(),S8t=function(){};wIe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=S8t);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=bIe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=bIe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var SIe=ye((Wgr,AIe)=>{\"use strict\";var ew=a1(),M8t=Pr(),E8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function TIe(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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k8t=TIe.prototype;k8t.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[E8t[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?M8t.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=ew(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=ew(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=ew(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=ew(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=ew(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=ew(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=ew(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function C8t(e,t){var r=new TIe;return r.merge(e,t),r}AIe.exports=C8t});var kIe=ye((Xgr,EIe)=>{\"use strict\";var L8t=a1(),P8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function MIe(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var I8t=MIe.prototype;I8t.merge=function(e){for(var t=0;t<3;++t){var r=e[P8t[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=L8t(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function R8t(e){var t=new MIe;return t.merge(e),t}EIe.exports=R8t});var PIe=ye((Zgr,LIe)=>{\"use strict\";LIe.exports=O8t;var CIe=ho(),D8t=Pr(),F8t=[\"xaxis\",\"yaxis\",\"zaxis\"],z8t=[0,0,0];function q8t(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function O8t(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[F8t[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||D8t.constrain(o._length/40,4,9);CIe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=CIe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){z8t[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=q8t(i)}});var OIe=ye((Ygr,qIe)=>{\"use strict\";var DIe=qd().gl_plot3d,B8t=DIe.createCamera,IIe=DIe.createScene,N8t=xIe(),U8t=GL(),fF=Oa(),cp=Pr(),cF=cp.preserveDrawingBuffer(),hF=ho(),Qg=ef(),V8t=a1(),G8t=BX(),H8t=JU(),j8t=SIe(),W8t=kIe(),X8t=PIe(),Z8t=Mg().applyAutorangeOptions,ok,uF,FIe=!1;function zIe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=j8t(t,t[this.id]),this.spikeOptions=W8t(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=fF.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=fF.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var Sv=zIe.prototype;Sv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:cF,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!uF&&(ok=document.createElement(\"canvas\"),uF=N8t({canvas:ok,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!uF))throw new Error(\"error creating static canvas/context for image server\");t.gl=uF,t.canvas=ok}return t};var RIe=!0;Sv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=IIe(t)}catch(n){if(e.staticMode||!RIe||cF)r=!1;else{cp.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{cF=t.glOptions.preserveDrawingBuffer=!0,e.glplot=IIe(t)}catch(i){cF=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return RIe=!1,r};Sv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=B8t(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};Sv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return G8t(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){FIe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},U8t?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};Sv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),X8t(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,E,z){var q=e.fullSceneLayout[P+\"axis\"];return q.type!==\"log\"&&(E=q.d2l(E)),hF.hoverLabelText(q,E,z)}if(c!==null){var v=H8t(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var m=t._fullData[r.index],b=f.index,p={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},k=Qg.castHoverinfo(m,e.fullLayout,b),M=(k||\"\").split(\"+\"),T=k&&k===\"all\";!m.hovertemplate&&!T&&(M.indexOf(\"x\")===-1&&(p.xLabel=void 0),M.indexOf(\"y\")===-1&&(p.yLabel=void 0),M.indexOf(\"z\")===-1&&(p.zLabel=void 0),M.indexOf(\"text\")===-1&&(f.textLabel=void 0),M.indexOf(\"name\")===-1&&(c.name=void 0));var L,x=[];r.type===\"cone\"||r.type===\"streamtube\"?(p.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(T||M.indexOf(\"u\")!==-1)&&x.push(\"u: \"+p.uLabel),p.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(T||M.indexOf(\"v\")!==-1)&&x.push(\"v: \"+p.vLabel),p.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(T||M.indexOf(\"w\")!==-1)&&x.push(\"w: \"+p.wLabel),p.normLabel=f.traceCoordinate[6].toPrecision(3),(T||M.indexOf(\"norm\")!==-1)&&x.push(\"norm: \"+p.normLabel),r.type===\"streamtube\"&&(p.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(T||M.indexOf(\"divergence\")!==-1)&&x.push(\"divergence: \"+p.divergenceLabel)),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(p.valueLabel=hF.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),x.push(\"value: \"+p.valueLabel),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:m._input,fullData:m,curveNumber:m.index,pointNumber:b};Qg.appendArrayPointValue(C,m,b),r._module.eventData&&(C=m._module.eventData(C,f,m,{},b));var S={points:[C]};if(e.fullSceneLayout.hovermode){var g=[];Qg.loneHover({trace:m,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:p.xLabel,yLabel:p.yLabel,zLabel:p.zLabel,text:L,name:c.name,color:Qg.castHoverOption(m,b,\"bgcolor\")||c.color,borderColor:Qg.castHoverOption(m,b,\"bordercolor\"),fontFamily:Qg.castHoverOption(m,b,\"font.family\"),fontSize:Qg.castHoverOption(m,b,\"font.size\"),fontColor:Qg.castHoverOption(m,b,\"font.color\"),nameLength:Qg.castHoverOption(m,b,\"namelength\"),textAlign:Qg.castHoverOption(m,b,\"align\"),hovertemplate:cp.castOption(m,b,\"hovertemplate\"),hovertemplateLabels:cp.extendFlat({},C,p),eventData:[C]},{container:n,gd:t,inOut_bbox:g}),C.bbox=g[0]}f.distance<5&&(f.buttons||FIe)?t.emit(\"plotly_click\",S):t.emit(\"plotly_hover\",S),this.oldEventData=S}else Qg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};Sv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){cp.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var sk=[\"xaxis\",\"yaxis\",\"zaxis\"];function Y8t(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=sk[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!cp.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(cp.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function K8t(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=sk[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}Sv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(V8t(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&Y8t(this,i,h);K8t(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue e;a=n.traces[v[o]],a.dispose(),delete n.traces[v[o]]}n.glplot.objects.sort(function(ae,_e){return ae._trace.data.index-_e._trace.data.index});var m=[[0,0,0],[0,0,0]],b=[],p={};for(o=0;o<3;++o){l=c[sk[o]],u=l.type,u in p?(p[u].acc*=d[o],p[u].count+=1):p[u]={acc:d[o],count:1};var k;if(l.autorange){m[0][o]=1/0,m[1][o]=-1/0;var M=n.glplot.objects,T=n.fullSceneLayout.annotations||[],L=l._name.charAt(0);for(s=0;s<M.length;s++){var x=M[s],C=x.bounds,S=x._trace.data._pad||0;x.constructor.name===\"ErrorBars\"&&l._lowerLogErrorBound?m[0][o]=Math.min(m[0][o],l._lowerLogErrorBound):m[0][o]=Math.min(m[0][o],C[0][o]/d[o]-S),m[1][o]=Math.max(m[1][o],C[1][o]/d[o]+S)}for(s=0;s<T.length;s++){var g=T[s];if(g.visible){var P=l.r2l(g[L]);m[0][o]=Math.min(m[0][o],P),m[1][o]=Math.max(m[1][o],P)}}if(\"rangemode\"in l&&l.rangemode===\"tozero\"&&(m[0][o]=Math.min(m[0][o],0),m[1][o]=Math.max(m[1][o],0)),m[0][o]>m[1][o])m[0][o]=-1,m[1][o]=1;else{var E=m[1][o]-m[0][o];m[0][o]-=E/32,m[1][o]+=E/32}if(k=[m[0][o],m[1][o]],k=Z8t(k,l),m[0][o]=k[0],m[1][o]=k[1],l.isReversed()){var z=m[0][o];m[0][o]=m[1][o],m[1][o]=z}}else k=l.range,m[0][o]=l.r2l(k[0]),m[1][o]=l.r2l(k[1]);m[0][o]===m[1][o]&&(m[0][o]-=1,m[1][o]+=1),b[o]=m[1][o]-m[0][o],l.range=[m[0][o],m[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var q,V=c.aspectmode;if(V===\"cube\")q=[1,1,1];else if(V===\"manual\"){var G=c.aspectratio;q=[G.x,G.y,G.z]}else if(V===\"auto\"||V===\"data\"){var Z=[1,1,1];for(o=0;o<3;++o){l=c[sk[o]],u=l.type;var j=p[u];Z[o]=Math.pow(j.acc,1/j.count)/d[o]}V===\"data\"||Math.max.apply(null,Z)/Math.min.apply(null,Z)<=4?q=Z:q=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");c.aspectratio.x=f.aspectratio.x=q[0],c.aspectratio.y=f.aspectratio.y=q[1],c.aspectratio.z=f.aspectratio.z=q[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var N=c.domain||null,H=t._size||null;if(N&&H){var re=n.container.style;re.position=\"absolute\",re.left=H.l+N.x[0]*H.w+\"px\",re.top=H.t+(1-N.y[1])*H.h+\"px\",re.width=H.w*(N.x[1]-N.x[0])+\"px\",re.height=H.h*(N.y[1]-N.y[0])+\"px\"}n.glplot.redraw()}};Sv.destroy=function(){var e=this;e.glplot&&(e.camera.mouseListener.enabled=!1,e.container.removeEventListener(\"wheel\",e.camera.wheelListener),e.camera=null,e.glplot.dispose(),e.container.parentNode.removeChild(e.container),e.glplot=null)};function J8t(e){return[[e.eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]}function $8t(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}Sv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),$8t(e.camera)};Sv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,J8t(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};Sv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=cp.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};Sv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=cp.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};Sv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=cp.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=cp.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),fF.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=cp.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=cp.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};Sv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;fF.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,cp.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function Q8t(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function eRt(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}Sv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(ok),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),Q8t(a,n,i),eRt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(ok),u};Sv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[sk[t]];hF.setConvert(r,e.fullLayout),r.setScale=cp.noop}};Sv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},hF.setConvert(e._mockAxis,r)};qIe.exports=zIe});var NIe=ye((Kgr,BIe)=>{\"use strict\";BIe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var UX=ye((Jgr,UIe)=>{\"use strict\";var tRt=ka(),xs=Rd(),NX=Ao().extendFlat,rRt=mc().overrideAll;UIe.exports=rRt({visible:xs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:tRt.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:xs.color,categoryorder:xs.categoryorder,categoryarray:xs.categoryarray,title:{text:xs.title.text,font:xs.title.font},type:NX({},xs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:xs.autotypenumbers,autorange:xs.autorange,autorangeoptions:{minallowed:xs.autorangeoptions.minallowed,maxallowed:xs.autorangeoptions.maxallowed,clipmin:xs.autorangeoptions.clipmin,clipmax:xs.autorangeoptions.clipmax,include:xs.autorangeoptions.include,editType:\"plot\"},rangemode:xs.rangemode,minallowed:xs.minallowed,maxallowed:xs.maxallowed,range:NX({},xs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:xs.minor.tickmode,nticks:xs.nticks,tick0:xs.tick0,dtick:xs.dtick,tickvals:xs.tickvals,ticktext:xs.ticktext,ticks:xs.ticks,mirror:xs.mirror,ticklen:xs.ticklen,tickwidth:xs.tickwidth,tickcolor:xs.tickcolor,showticklabels:xs.showticklabels,labelalias:xs.labelalias,tickfont:xs.tickfont,tickangle:xs.tickangle,tickprefix:xs.tickprefix,showtickprefix:xs.showtickprefix,ticksuffix:xs.ticksuffix,showticksuffix:xs.showticksuffix,showexponent:xs.showexponent,exponentformat:xs.exponentformat,minexponent:xs.minexponent,separatethousands:xs.separatethousands,tickformat:xs.tickformat,tickformatstops:xs.tickformatstops,hoverformat:xs.hoverformat,showline:xs.showline,linecolor:xs.linecolor,linewidth:xs.linewidth,showgrid:xs.showgrid,gridcolor:NX({},xs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:xs.gridwidth,zeroline:xs.zeroline,zerolinecolor:xs.zerolinecolor,zerolinewidth:xs.zerolinewidth},\"plot\",\"from-root\")});var jX=ye(($gr,VIe)=>{\"use strict\";var VX=UX(),iRt=Cc().attributes,GX=Ao().extendFlat,nRt=Pr().counterRegex;function HX(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}VIe.exports={_arrayAttrRegexps:[nRt(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:GX(HX(0,0,1),{}),center:GX(HX(0,0,0),{}),eye:GX(HX(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:iRt({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:VX,yaxis:VX,zaxis:VX,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\"}});var WIe=ye((Qgr,jIe)=>{\"use strict\";var aRt=fd().mix,GIe=Pr(),oRt=vl(),sRt=UX(),lRt=FU(),uRt=v4(),HIe=[\"xaxis\",\"yaxis\",\"zaxis\"],cRt=13600/187;jIe.exports=function(t,r,n){var i,a;function o(u,c){return GIe.coerce(i,a,sRt,u,c)}for(var s=0;s<HIe.length;s++){var l=HIe[s];i=t[l]||{},a=oRt.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,lRt(i,a,o,n),uRt(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noMinorloglabels:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,noUnifiedhovertitle:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",aRt(a.color,n.bgColor,cRt).toRgbString()),o(\"title.text\",l[0]),a.setScale=GIe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var KIe=ye((emr,YIe)=>{\"use strict\";var fRt=Pr(),hRt=ka(),dRt=Oa(),vRt=O_(),pRt=WIe(),XIe=jX(),gRt=Id().getSubplotData,ZIe=\"gl3d\";YIe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=fRt.validate(t[o],XIe[o]);if(s)return t[o]}}vRt(t,r,n,{type:ZIe,attributes:XIe,handleDefaults:mRt,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function mRt(e,t,r,n){for(var i=r(\"bgcolor\"),a=hRt.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s<o.length;s++)r(\"camera.\"+o[s]+\".x\"),r(\"camera.\"+o[s]+\".y\"),r(\"camera.\"+o[s]+\".z\");r(\"camera.projection.type\");var l=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),u=l?\"manual\":\"auto\",c=r(\"aspectmode\",u);l||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},c===\"manual\"&&(t.aspectmode=\"auto\"),e.aspectmode=t.aspectmode);var f=gRt(n.fullData,ZIe,n.id);pRt(e,t,{font:n.font,scene:n.id,data:f,bgColor:a,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),dRt.getComponentMethod(\"annotations3d\",\"handleDefaults\")(e,t,n);var h=n.getDfltFromLayout(\"dragmode\");if(h!==!1&&!h)if(h=\"orbit\",e.camera&&e.camera.up){var d=e.camera.up.x,v=e.camera.up.y,m=e.camera.up.z;m!==0&&(!d||!v||!m||m/Math.sqrt(d*d+v*v+m*m)>.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var ux=ye(fp=>{\"use strict\";var yRt=mc().overrideAll,_Rt=X1(),xRt=OIe(),bRt=Id().getSubplotData,wRt=Pr(),TRt=Wp(),JA=\"gl3d\",WX=\"scene\";fp.name=JA;fp.attr=WX;fp.idRoot=WX;fp.idRegex=fp.attrRegex=wRt.counterRegex(\"scene\");fp.attributes=NIe();fp.layoutAttributes=jX();fp.baseLayoutAttrOverrides=yRt({hoverlabel:_Rt.hoverlabel},\"plot\",\"nested\");fp.supplyLayoutDefaults=KIe();fp.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[JA],a=0;a<i.length;a++){var o=i[a],s=bRt(n,JA,o),l=r[o],u=l.camera,c=l._scene;c||(c=new xRt({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},r),l._scene=c),c.viewInitial||(c.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),c.plot(s,r,t.layout)}};fp.clean=function(e,t,r,n){for(var i=n._subplots[JA]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}};fp.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[JA],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._scene,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:TRt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}};fp.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var r=t.slice(5);return r===\"1\"&&(r=\"\"),WX+r}};fp.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[JA],n=0;n<r.length;n++){var i=t[r[n]]._scene;i.updateFx(t.dragmode,t.hovermode)}}});var $Ie=ye((rmr,JIe)=>{\"use strict\";JIe.exports={plot:sIe(),attributes:qX(),markerSymbols:sF(),supplyDefaults:vIe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:gIe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:ux(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var e8e=ye((imr,QIe)=>{\"use strict\";QIe.exports=$Ie()});var lk=ye((nmr,i8e)=>{\"use strict\";var t8e=ka(),ARt=Tu(),XX=vf().axisHoverFormat,{hovertemplateAttrs:SRt,templatefallbackAttrs:MRt}=Pl(),r8e=Vl(),ZX=Ao().extendFlat,ERt=mc().overrideAll;function YX(e){return{valType:\"boolean\",dflt:!1}}function KX(e){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:YX(\"x\"),y:YX(\"y\"),z:YX(\"z\")},color:{valType:\"color\",dflt:t8e.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:t8e.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var JX=i8e.exports=ERt(ZX({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:SRt(),hovertemplatefallback:MRt(),xhoverformat:XX(\"x\"),yhoverformat:XX(\"y\"),zhoverformat:XX(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},ARt(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:KX(\"x\"),y:KX(\"y\"),z:KX(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05,description:\"Represents the level that incident rays are reflected in a single direction, causing shine.\"},roughness:{valType:\"number\",min:0,max:1,dflt:.5,description:\"Alters specular reflection; the rougher the surface, the wider and less contrasty the shine.\"},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:ZX({},r8e.hoverinfo),showlegend:ZX({},r8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");JX.x.editType=JX.y.editType=JX.z.editType=\"calc+clearAxisTypes\"});var QX=ye((amr,o8e)=>{\"use strict\";var kRt=Oa(),n8e=Pr(),CRt=td(),LRt=lk(),$X=.1;function PRt(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function IRt(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function RRt(e,t,r,n){var i,a;function o(b,p){return n8e.coerce(e,t,LRt,b,p)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&n8e.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=kRt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"hovertemplatefallback\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),m=o(d+\".highlight\");if(v||m)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),m&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}CRt(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),a8e(e,t,n,o),t._length=null}function a8e(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,$X],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,$X]]:i===\"extremes\"?t.opacityscale=PRt(1,$X):IRt(i)||(t.opacityscale=void 0)}o8e.exports={supplyDefaults:RRt,opacityscaleDefaults:a8e}});var u8e=ye((omr,l8e)=>{\"use strict\";var s8e=gv();l8e.exports=function(t,r){r.surfacecolor?s8e(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):s8e(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var p8e=ye((smr,v8e)=>{\"use strict\";var DRt=qd().gl_surface3d,$A=qd().ndarray,FRt=qd().ndarray_linear_interpolate.d2,zRt=d8(),qRt=v8(),uk=Pr().isArrayOrTypedArray,ORt=o1().parseColorScale,c8e=a1(),BRt=tc().extractOpts;function h8e(e,t,r){this.scene=e,this.uid=r,this.surface=t,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var em=h8e.prototype;em.getXat=function(e,t,r,n){var i=uk(this.data.x)?uk(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};em.getYat=function(e,t,r,n){var i=uk(this.data.y)?uk(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};em.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};em.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return uk(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function NRt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var QA=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function URt(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function eZ(e){for(var t=[],r=0;r<QA.length;r++){var n=QA[r];t.push(URt(e,n))}return t}function VRt(e){for(var t=eZ(e),r=e,n=0;n<QA.length;n++)if(t[n]>0){r=QA[n];break}return r}function GRt(e,t){if(!(e<1||t<1)){for(var r=eZ(e),n=eZ(t),i=1,a=0;a<QA.length;a++)i*=Math.pow(QA[a],Math.max(r[a],n[a]));return i}}function HRt(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=GRt(t,e[r]);return t}}em.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};em.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var d8e=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],f8e=d8e[9],dF=d8e[13];em.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+HRt(r);n<f8e;)n*=2;for(;n>dF;)n--,n/=VRt(n),n++,n<f8e&&(n=dF);var i=Math.round(n/e);return i>1?i:1};function jRt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function WRt(e,t,r){return XRt(e,t,jRt,r),e}function XRt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,FRt(t,i[0],i[1]));return e}em.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=$A(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=$A(new Float32Array(a*o),[a,o]);WRt(h,u,c),e[f]=h}};function ZRt(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}em.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],ZRt(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};em.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=ORt(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=qRt(d[2]),zRt(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[$A(new Float32Array(o*s),[o,s]),$A(new Float32Array(o*s),[o,s]),$A(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var m={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=BRt(e);if(m.intensityBounds=[b.min,b.max],e.surfacecolor){var p=$A(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)p.set(c,f,e.surfacecolor[f][c]);v.push(p)}else m.intensityBounds[0]*=a[2],m.intensityBounds[1]*=a[2];(dF<v[0].shape[0]||dF<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(m.intensity=v.pop());var k=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var T=e.contours[M[u]];k[u]=T.highlight,m.showContour[u]=T.show||T.highlight,m.showContour[u]&&(m.contourProject[u]=[T.project.x,T.project.y,T.project.z],T.show?(this.showContour[u]=!0,m.levels[u]=l[u],n.highlightColor[u]=m.contourColor[u]=c8e(T.color),T.usecolormap?n.highlightTint[u]=m.contourTint[u]=0:n.highlightTint[u]=m.contourTint[u]=1,m.contourWidth[u]=T.width,this.contourStart[u]=T.start,this.contourEnd[u]=T.end,this.contourSize[u]=T.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),T.highlight&&(m.dynamicColor[u]=c8e(T.highlightcolor),m.dynamicWidth[u]=T.highlightwidth))}NRt(i)&&(m.vertexColor=!0),m.objectOffset=this.objectOffset,m.coords=v,n.update(m),n.visible=e.visible,n.enableDynamic=k,n.enableHighlight=k,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};em.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function YRt(e,t){var r=e.glplot.gl,n=DRt({gl:r}),i=new h8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}v8e.exports=YRt});var m8e=ye((lmr,g8e)=>{\"use strict\";g8e.exports={attributes:lk(),supplyDefaults:QX().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:u8e(),plot:p8e(),moduleType:\"trace\",name:\"surface\",basePlotModule:ux(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var _8e=ye((umr,y8e)=>{\"use strict\";y8e.exports=m8e()});var e5=ye((cmr,b8e)=>{\"use strict\";var KRt=Tu(),tZ=vf().axisHoverFormat,{hovertemplateAttrs:JRt,templatefallbackAttrs:$Rt}=Pl(),cx=lk(),x8e=Vl(),fx=Ao().extendFlat;b8e.exports=fx({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:JRt({editType:\"calc\"}),hovertemplatefallback:$Rt({editType:\"calc\"}),xhoverformat:tZ(\"x\"),yhoverformat:tZ(\"y\"),zhoverformat:tZ(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},KRt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:cx.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:fx({},cx.contours.x.show,{}),color:cx.contours.x.color,width:cx.contours.x.width,editType:\"calc\"},lightposition:{x:fx({},cx.lightposition.x,{dflt:1e5}),y:fx({},cx.lightposition.y,{dflt:1e5}),z:fx({},cx.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:fx({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\",description:\"Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry.\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\",description:\"Epsilon for face normals calculation avoids math issues arising from degenerate geometry.\"},editType:\"calc\"},cx.lighting),hoverinfo:fx({},x8e.hoverinfo,{editType:\"calc\"}),showlegend:fx({},x8e.showlegend,{dflt:!1})})});var pF=ye((fmr,T8e)=>{\"use strict\";var QRt=Tu(),vF=vf().axisHoverFormat,{hovertemplateAttrs:eDt,templatefallbackAttrs:tDt}=Pl(),ck=e5(),w8e=Vl(),rZ=Ao().extendFlat,rDt=mc().overrideAll;function iZ(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function nZ(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var t5=T8e.exports=rDt(rZ({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:iZ(\"x\"),y:iZ(\"y\"),z:iZ(\"z\")},caps:{x:nZ(\"x\"),y:nZ(\"y\"),z:nZ(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:eDt(),hovertemplatefallback:tDt(),xhoverformat:vF(\"x\"),yhoverformat:vF(\"y\"),zhoverformat:vF(\"z\"),valuehoverformat:vF(\"value\",1),showlegend:rZ({},w8e.showlegend,{dflt:!1})},QRt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:ck.opacity,lightposition:ck.lightposition,lighting:ck.lighting,flatshading:ck.flatshading,contour:ck.contour,hoverinfo:rZ({},w8e.hoverinfo)}),\"calc\",\"nested\");t5.flatshading.dflt=!0;t5.lighting.facenormalsepsilon.dflt=0;t5.x.editType=t5.y.editType=t5.z.editType=t5.value.editType=\"calc+clearAxisTypes\"});var aZ=ye((hmr,S8e)=>{\"use strict\";var iDt=Pr(),nDt=Oa(),aDt=pF(),oDt=td();function sDt(e,t,r,n){function i(a,o){return iDt.coerce(e,t,aDt,a,o)}A8e(e,t,r,n,i)}function A8e(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=nDt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(m){i(m+\"hoverformat\");var b=\"caps.\"+m,p=i(b+\".show\");p&&i(b+\".fill\");var k=\"slices.\"+m,M=i(k+\".show\");M&&(i(k+\".fill\"),i(k+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(m){i(m)}),oDt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}S8e.exports={supplyDefaults:sDt,supplyIsoDefaults:A8e}});var gF=ye((dmr,E8e)=>{\"use strict\";var sZ=Pr(),lDt=gv();function uDt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=$m(t.u,t._len),t._v=$m(t.v,t._len),t._w=$m(t.w,t._len),t._x=$m(t.x,t._len),t._y=$m(t.y,t._len),t._z=$m(t.z,t._len);var r=M8e(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=$m(t.starts.x||[]),a=$m(t.starts.y||[]),o=$m(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(lDt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var m=a[u];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function M8e(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",m,b,p,k,M,T,L,x,C;for(i&&(k=t[0],T=r[0],x=n[0]),i>1&&(M=t[i-1],L=r[i-1],C=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!m&&t[a]!==k&&(m=!0,v+=\"x\"),!b&&r[a]!==T&&(b=!0,v+=\"y\"),!p&&n[a]!==x&&(p=!0,v+=\"z\");m||(v+=\"x\"),b||(v+=\"y\"),p||(v+=\"z\");var S=oZ(e._x),g=oZ(e._y),P=oZ(e._z);v=v.replace(\"x\",(k>M?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(T>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(x>C?\"-\":\"+\")+\"z\");var E=function(){i=0,S=[],g=[],P=[]};(!i||i<S.length*g.length*P.length)&&E();var z=function(Be){return Be===\"x\"?t:Be===\"y\"?r:n},q=function(Be){return Be===\"x\"?S:Be===\"y\"?g:P},V=function(Be){return Be[i-1]<Be[0]?-1:1},G=z(v[1]),Z=z(v[3]),j=z(v[5]),N=q(v[1]).length,H=q(v[3]).length,re=q(v[5]).length,ae=!1,_e=function(Be,Le,me){return N*(H*Be+Le)+me},Ee=V(z(v[1])),Ce=V(z(v[3])),ge=V(z(v[5]));for(a=0;a<re-1;a++){for(o=0;o<H-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Se=_e(a,o,s+1),ke=_e(a,o+1,s),be=_e(a+1,o,s);if((!(G[ie]*Ee<G[Se]*Ee)||!(Z[ie]*Ce<Z[ke]*Ce)||!(j[ie]*ge<j[be]*ge))&&(ae=!0),ae)break}if(ae)break}if(ae)break}return ae&&(sZ.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),E()),{xMin:u,yMin:f,zMin:d,xMax:l,yMax:c,zMax:h,Xs:S,Ys:g,Zs:P,len:i,fill:v}}function oZ(e){return sZ.distinctVals(e).vals}function $m(e,t){if(t===void 0&&(t=e.length),sZ.isTypedArray(e))return e.subarray(0,t);for(var r=[],n=0;n<t;n++)r[n]=+e[n];return r}E8e.exports={calc:uDt,filter:$m,processGrid:M8e}});var lZ=ye((vmr,k8e)=>{\"use strict\";var cDt=gv(),fDt=gF().processGrid,mF=gF().filter;k8e.exports=function(t,r){r._len=Math.min(r.x.length,r.y.length,r.z.length,r.value.length),r._x=mF(r.x,r._len),r._y=mF(r.y,r._len),r._z=mF(r.z,r._len),r._value=mF(r.value,r._len);var n=fDt(r);r._gridFill=n.fill,r._Xs=n.Xs,r._Ys=n.Ys,r._Zs=n.Zs,r._len=n.len;for(var i=1/0,a=-1/0,o=0;o<r._len;o++){var s=r._value[o];i=Math.min(i,s),a=Math.max(a,s)}r._minValues=i,r._maxValues=a,r._vMin=r.isomin===void 0||r.isomin===null?i:r.isomin,r._vMax=r.isomax===void 0||r.isomax===null?a:r.isomax,cDt(t,r,{vals:[r._vMin,r._vMax],containerStr:\"\",cLetter:\"c\"})}});var r5=ye((pmr,C8e)=>{\"use strict\";C8e.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var yF=ye((gmr,R8e)=>{\"use strict\";var hDt=qd().gl_mesh3d,dDt=o1().parseColorScale,vDt=Pr().isArrayOrTypedArray,pDt=a1(),gDt=tc().extractOpts,L8e=r5(),fk=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function P8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var uZ=P8e.prototype;uZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=fk(r,this.data._Xs).id,l=fk(n,this.data._Ys).id,u=fk(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return vDt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};uZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=I8e(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=L8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=L8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:pDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=gDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=dDt(e),this.mesh.update(o)};uZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var mDt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function I8e(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,m=h.length,b=mDt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),p=function(St,Tt,dt){switch(b){case 5:return dt+m*Tt+m*v*St;case 4:return dt+m*St+m*d*Tt;case 3:return Tt+v*dt+v*m*St;case 2:return Tt+v*St+v*d*dt;case 1:return St+d*dt+d*m*Tt;default:return St+d*Tt+d*v*dt}},k=e._minValues,M=e._maxValues,T=e._vMin,L=e._vMax,x,C,S,g;function P(St,Tt,dt){for(var Et=g.length,pt=u;pt<Et;pt++)if(St===x[pt]&&Tt===C[pt]&&dt===S[pt])return pt;return-1}function E(){u=l}function z(){x=[],C=[],S=[],g=[],l=0,E()}function q(St,Tt,dt,Et){return x.push(St),C.push(Tt),S.push(dt),g.push(Et),l++,l-1}function V(St,Tt,dt){return e._meshI.push(St),e._meshJ.push(Tt),e._meshK.push(dt),s++,s-1}function G(St,Tt,dt){for(var Et=[],pt=0;pt<St.length;pt++)Et[pt]=(St[pt]+Tt[pt]+dt[pt])/3;return Et}function Z(St,Tt,dt){for(var Et=[],pt=0;pt<St.length;pt++)Et[pt]=St[pt]*(1-dt)+dt*Tt[pt];return Et}var j;function N(St){j=St}function H(St,Tt){var dt=St[0],Et=St[1],pt=St[2],jt=G(dt,Et,pt),or=Math.sqrt(1-j),mr=Z(jt,dt,or),Ar=Z(jt,Et,or),ei=Z(jt,pt,or),qr=Tt[0],jr=Tt[1],gt=Tt[2];return{xyzv:[[dt,Et,Ar],[Ar,mr,dt],[Et,pt,ei],[ei,Ar,Et],[pt,dt,mr],[mr,ei,pt]],abc:[[qr,jr,-1],[-1,-1,qr],[jr,gt,-1],[-1,-1,jr],[gt,qr,-1],[-1,-1,gt]]}}function re(St,Tt){return St===\"all\"||St===null?!0:St.indexOf(Tt)>-1}function ae(St,Tt){return St===null?Tt:St}function _e(St,Tt,dt){E();var Et=[Tt],pt=[dt];if(j>=1)Et=[Tt],pt=[dt];else if(j>0){var jt=H(Tt,dt);Et=jt.xyzv,pt=jt.abc}for(var or=0;or<Et.length;or++){Tt=Et[or],dt=pt[or];for(var mr=[],Ar=0;Ar<3;Ar++){var ei=Tt[Ar][0],qr=Tt[Ar][1],jr=Tt[Ar][2],gt=Tt[Ar][3],Ge=dt[Ar]>-1?dt[Ar]:P(ei,qr,jr);Ge>-1?mr[Ar]=Ge:mr[Ar]=q(ei,qr,jr,ae(St,gt))}V(mr[0],mr[1],mr[2])}}function Ee(St,Tt,dt){var Et=function(pt,jt,or){_e(St,[Tt[pt],Tt[jt],Tt[or]],[dt[pt],dt[jt],dt[or]])};Et(0,1,2),Et(2,3,0)}function Ce(St,Tt,dt){var Et=function(pt,jt,or){_e(St,[Tt[pt],Tt[jt],Tt[or]],[dt[pt],dt[jt],dt[or]])};Et(0,1,2),Et(3,0,1),Et(2,3,0),Et(1,2,3)}function ge(St,Tt,dt,Et){var pt=St[3];pt<dt&&(pt=dt),pt>Et&&(pt=Et);for(var jt=(St[3]-pt)/(St[3]-Tt[3]+1e-9),or=[],mr=0;mr<4;mr++)or[mr]=(1-jt)*St[mr]+jt*Tt[mr];return or}function ie(St,Tt,dt){return St>=Tt&&St<=dt}function Se(St){var Tt=.001*(L-T);return St>=T-Tt&&St<=L+Tt}function ke(St){for(var Tt=[],dt=0;dt<4;dt++){var Et=St[dt];Tt.push([e._x[Et],e._y[Et],e._z[Et],e._value[Et]])}return Tt}var be=3;function Be(St,Tt,dt,Et,pt,jt){jt||(jt=1),dt=[-1,-1,-1];var or=!1,mr=[ie(Tt[0][3],Et,pt),ie(Tt[1][3],Et,pt),ie(Tt[2][3],Et,pt)];if(!mr[0]&&!mr[1]&&!mr[2])return!1;var Ar=function(qr,jr,gt){return Se(jr[0][3])&&Se(jr[1][3])&&Se(jr[2][3])?(_e(qr,jr,gt),!0):jt<be?Be(qr,jr,gt,T,L,++jt):!1};if(mr[0]&&mr[1]&&mr[2])return Ar(St,Tt,dt)||or;var ei=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach(function(qr){if(mr[qr[0]]&&mr[qr[1]]&&!mr[qr[2]]){var jr=Tt[qr[0]],gt=Tt[qr[1]],Ge=Tt[qr[2]],Je=ge(Ge,jr,Et,pt),We=ge(Ge,gt,Et,pt);or=Ar(St,[We,Je,jr],[-1,-1,dt[qr[0]]])||or,or=Ar(St,[jr,gt,We],[dt[qr[0]],dt[qr[1]],-1])||or,ei=!0}}),ei||[[0,1,2],[1,2,0],[2,0,1]].forEach(function(qr){if(mr[qr[0]]&&!mr[qr[1]]&&!mr[qr[2]]){var jr=Tt[qr[0]],gt=Tt[qr[1]],Ge=Tt[qr[2]],Je=ge(gt,jr,Et,pt),We=ge(Ge,jr,Et,pt);or=Ar(St,[We,Je,jr],[-1,-1,dt[qr[0]]])||or,ei=!0}}),or}function Le(St,Tt,dt,Et){var pt=!1,jt=ke(Tt),or=[ie(jt[0][3],dt,Et),ie(jt[1][3],dt,Et),ie(jt[2][3],dt,Et),ie(jt[3][3],dt,Et)];if(!or[0]&&!or[1]&&!or[2]&&!or[3])return pt;if(or[0]&&or[1]&&or[2]&&or[3])return o&&(pt=Ce(St,jt,Tt)||pt),pt;var mr=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach(function(Ar){if(or[Ar[0]]&&or[Ar[1]]&&or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]];if(o)pt=_e(St,[ei,qr,jr],[Tt[Ar[0]],Tt[Ar[1]],Tt[Ar[2]]])||pt;else{var Ge=ge(gt,ei,dt,Et),Je=ge(gt,qr,dt,Et),We=ge(gt,jr,dt,Et);pt=_e(null,[Ge,Je,We],[-1,-1,-1])||pt}mr=!0}}),mr||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(Ar){if(or[Ar[0]]&&or[Ar[1]]&&!or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]],Ge=ge(jr,ei,dt,Et),Je=ge(jr,qr,dt,Et),We=ge(gt,qr,dt,Et),et=ge(gt,ei,dt,Et);o?(pt=_e(St,[ei,et,Ge],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[qr,Je,We],[Tt[Ar[1]],-1,-1])||pt):pt=Ee(null,[Ge,Je,We,et],[-1,-1,-1,-1])||pt,mr=!0}}),mr)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(Ar){if(or[Ar[0]]&&!or[Ar[1]]&&!or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]],Ge=ge(qr,ei,dt,Et),Je=ge(jr,ei,dt,Et),We=ge(gt,ei,dt,Et);o?(pt=_e(St,[ei,Ge,Je],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[ei,Je,We],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[ei,We,Ge],[Tt[Ar[0]],-1,-1])||pt):pt=_e(null,[Ge,Je,We],[-1,-1,-1])||pt,mr=!0}}),pt}function me(St,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr){var jr=!1;return a&&(re(St,\"A\")&&(jr=Le(null,[Tt,dt,Et,jt],ei,qr)||jr),re(St,\"B\")&&(jr=Le(null,[dt,Et,pt,Ar],ei,qr)||jr),re(St,\"C\")&&(jr=Le(null,[dt,jt,or,Ar],ei,qr)||jr),re(St,\"D\")&&(jr=Le(null,[Et,jt,mr,Ar],ei,qr)||jr),re(St,\"E\")&&(jr=Le(null,[dt,Et,jt,Ar],ei,qr)||jr)),o&&(jr=Le(St,[dt,Et,jt,Ar],ei,qr)||jr),jr}function Pe(St,Tt,dt,Et,pt,jt,or,mr){return[mr[0]===!0?!0:Be(St,ke([Tt,dt,Et]),[Tt,dt,Et],jt,or),mr[1]===!0?!0:Be(St,ke([Et,pt,Tt]),[Et,pt,Tt],jt,or)]}function ce(St,Tt,dt,Et,pt,jt,or,mr,Ar){return mr?Pe(St,Tt,dt,pt,Et,jt,or,Ar):Pe(St,dt,pt,Et,Tt,jt,or,Ar)}function He(St,Tt,dt,Et,pt,jt,or){var mr=!1,Ar,ei,qr,jr,gt=function(){mr=Be(St,[Ar,ei,qr],[-1,-1,-1],pt,jt)||mr,mr=Be(St,[qr,jr,Ar],[-1,-1,-1],pt,jt)||mr},Ge=or[0],Je=or[1],We=or[2];return Ge&&(Ar=Z(ke([p(Tt,dt-0,Et-0)])[0],ke([p(Tt-1,dt-0,Et-0)])[0],Ge),ei=Z(ke([p(Tt,dt-0,Et-1)])[0],ke([p(Tt-1,dt-0,Et-1)])[0],Ge),qr=Z(ke([p(Tt,dt-1,Et-1)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],Ge),jr=Z(ke([p(Tt,dt-1,Et-0)])[0],ke([p(Tt-1,dt-1,Et-0)])[0],Ge),gt()),Je&&(Ar=Z(ke([p(Tt-0,dt,Et-0)])[0],ke([p(Tt-0,dt-1,Et-0)])[0],Je),ei=Z(ke([p(Tt-0,dt,Et-1)])[0],ke([p(Tt-0,dt-1,Et-1)])[0],Je),qr=Z(ke([p(Tt-1,dt,Et-1)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],Je),jr=Z(ke([p(Tt-1,dt,Et-0)])[0],ke([p(Tt-1,dt-1,Et-0)])[0],Je),gt()),We&&(Ar=Z(ke([p(Tt-0,dt-0,Et)])[0],ke([p(Tt-0,dt-0,Et-1)])[0],We),ei=Z(ke([p(Tt-0,dt-1,Et)])[0],ke([p(Tt-0,dt-1,Et-1)])[0],We),qr=Z(ke([p(Tt-1,dt-1,Et)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],We),jr=Z(ke([p(Tt-1,dt-0,Et)])[0],ke([p(Tt-1,dt-0,Et-1)])[0],We),gt()),mr}function lt(St,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr,jr){var gt=St;return jr?(a&&St===\"even\"&&(gt=null),me(gt,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr)):(a&&St===\"odd\"&&(gt=null),me(gt,Ar,mr,or,jt,pt,Et,dt,Tt,ei,qr))}function mt(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<m;ei++)for(var qr=1;qr<v;qr++)jt.push(ce(St,p(Ar,qr-1,ei-1),p(Ar,qr-1,ei),p(Ar,qr,ei-1),p(Ar,qr,ei),dt,Et,(Ar+qr+ei)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function Ht(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<d;ei++)for(var qr=1;qr<m;qr++)jt.push(ce(St,p(ei-1,Ar,qr-1),p(ei,Ar,qr-1),p(ei-1,Ar,qr),p(ei,Ar,qr),dt,Et,(ei+Ar+qr)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function at(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<v;ei++)for(var qr=1;qr<d;qr++)jt.push(ce(St,p(qr-1,ei-1,Ar),p(qr-1,ei,Ar),p(qr,ei-1,Ar),p(qr,ei,Ar),dt,Et,(qr+ei+Ar)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function ct(St,Tt,dt){for(var Et=1;Et<m;Et++)for(var pt=1;pt<v;pt++)for(var jt=1;jt<d;jt++)lt(St,p(jt-1,pt-1,Et-1),p(jt-1,pt-1,Et),p(jt-1,pt,Et-1),p(jt-1,pt,Et),p(jt,pt-1,Et-1),p(jt,pt-1,Et),p(jt,pt,Et-1),p(jt,pt,Et),Tt,dt,(jt+pt+Et)%2)}function ar(St,Tt,dt){o=!0,ct(St,Tt,dt),o=!1}function Vt(St,Tt,dt){a=!0,ct(St,Tt,dt),a=!1}function rr(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<m;qr++)for(var jr=1;jr<v;jr++)or.push(He(St,ei,jr,qr,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function tt(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<d;qr++)for(var jr=1;jr<m;jr++)or.push(He(St,qr,ei,jr,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function je(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<v;qr++)for(var jr=1;jr<d;jr++)or.push(He(St,jr,qr,ei,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function Ue(St,Tt){for(var dt=[],Et=St;Et<Tt;Et++)dt.push(Et);return dt}function Ae(){for(var St=0;St<d;St++)for(var Tt=0;Tt<v;Tt++)for(var dt=0;dt<m;dt++){var Et=p(St,Tt,dt);q(e._x[Et],e._y[Et],e._z[Et],e._value[Et])}}function rt(){z(),Ae();var St=null;if(r&&i&&(N(i),ar(St,T,L)),t&&n){N(n);for(var Tt=e.surface.pattern,dt=e.surface.count,Et=0;Et<dt;Et++){var pt=dt===1?.5:Et/(dt-1),jt=(1-pt)*T+pt*L,or=Math.abs(jt-k),mr=Math.abs(jt-M),Ar=or>mr?[k,jt]:[jt,M];Vt(Tt,Ar[0],Ar[1])}}var ei=[[Math.min(T,M),Math.max(T,M)],[Math.min(k,L),Math.max(k,L)]];[\"x\",\"y\",\"z\"].forEach(function(qr){for(var jr=[],gt=0;gt<ei.length;gt++){var Ge=0,Je=ei[gt][0],We=ei[gt][1],et=e.slices[qr];if(et.show&&et.fill){N(et.fill);var xt=[],At=[],Kt=[];if(et.locations.length)for(var Qt=0;Qt<et.locations.length;Qt++){var Mr=fk(et.locations[Qt],qr===\"x\"?c:qr===\"y\"?f:h);Mr.distRatio===0?xt.push(Mr.id):Mr.id>0&&(At.push(Mr.id),qr===\"x\"?Kt.push([Mr.distRatio,0,0]):qr===\"y\"?Kt.push([0,Mr.distRatio,0]):Kt.push([0,0,Mr.distRatio]))}else qr===\"x\"?xt=Ue(1,d-1):qr===\"y\"?xt=Ue(1,v-1):xt=Ue(1,m-1);At.length>0&&(qr===\"x\"?jr[Ge]=rr(St,At,Je,We,Kt,jr[Ge]):qr===\"y\"?jr[Ge]=tt(St,At,Je,We,Kt,jr[Ge]):jr[Ge]=je(St,At,Je,We,Kt,jr[Ge]),Ge++),xt.length>0&&(qr===\"x\"?jr[Ge]=mt(St,xt,Je,We,jr[Ge]):qr===\"y\"?jr[Ge]=Ht(St,xt,Je,We,jr[Ge]):jr[Ge]=at(St,xt,Je,We,jr[Ge]),Ge++)}var Gr=e.caps[qr];Gr.show&&Gr.fill&&(N(Gr.fill),qr===\"x\"?jr[Ge]=mt(St,[0,d-1],Je,We,jr[Ge]):qr===\"y\"?jr[Ge]=Ht(St,[0,v-1],Je,We,jr[Ge]):jr[Ge]=at(St,[0,m-1],Je,We,jr[Ge]),Ge++)}}),s===0&&z(),e._meshX=x,e._meshY=C,e._meshZ=S,e._meshIntensity=g,e._Xs=c,e._Ys=f,e._Zs=h}return rt(),e}function yDt(e,t){var r=e.glplot.gl,n=hDt({gl:r}),i=new P8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}R8e.exports={findNearestOnAxis:fk,generateIsoMeshes:I8e,createIsosurfaceTrace:yDt}});var F8e=ye((mmr,D8e)=>{\"use strict\";D8e.exports={attributes:pF(),supplyDefaults:aZ().supplyDefaults,calc:lZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:yF().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:ux(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var q8e=ye((ymr,z8e)=>{\"use strict\";z8e.exports=F8e()});var fZ=ye((_mr,B8e)=>{\"use strict\";var _Dt=Tu(),xh=pF(),xDt=lk(),O8e=Vl(),cZ=Ao().extendFlat,bDt=mc().overrideAll,_F=B8e.exports=bDt(cZ({x:xh.x,y:xh.y,z:xh.z,value:xh.value,isomin:xh.isomin,isomax:xh.isomax,surface:xh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:xh.slices,caps:xh.caps,text:xh.text,hovertext:xh.hovertext,xhoverformat:xh.xhoverformat,yhoverformat:xh.yhoverformat,zhoverformat:xh.zhoverformat,valuehoverformat:xh.valuehoverformat,hovertemplate:xh.hovertemplate,hovertemplatefallback:xh.hovertemplatefallback},_Dt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:xh.colorbar,opacity:xh.opacity,opacityscale:xDt.opacityscale,lightposition:xh.lightposition,lighting:xh.lighting,flatshading:xh.flatshading,contour:xh.contour,hoverinfo:cZ({},O8e.hoverinfo),showlegend:cZ({},O8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");_F.x.editType=_F.y.editType=_F.z.editType=_F.value.editType=\"calc+clearAxisTypes\"});var U8e=ye((xmr,N8e)=>{\"use strict\";var wDt=Pr(),TDt=fZ(),ADt=aZ().supplyIsoDefaults,SDt=QX().opacityscaleDefaults;N8e.exports=function(t,r,n,i){function a(o,s){return wDt.coerce(t,r,TDt,o,s)}ADt(t,r,n,i,a),SDt(t,r,i,a)}});var j8e=ye((bmr,H8e)=>{\"use strict\";var MDt=qd().gl_mesh3d,EDt=o1().parseColorScale,kDt=Pr().isArrayOrTypedArray,CDt=a1(),LDt=tc().extractOpts,V8e=r5(),hZ=yF().findNearestOnAxis,PDt=yF().generateIsoMeshes;function G8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var dZ=G8e.prototype;dZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=hZ(r,this.data._Xs).id,l=hZ(n,this.data._Ys).id,u=hZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return kDt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};dZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=PDt(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=V8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=V8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:CDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=LDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=EDt(e),this.mesh.update(o)};dZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function IDt(e,t){var r=e.glplot.gl,n=MDt({gl:r}),i=new G8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}H8e.exports=IDt});var X8e=ye((wmr,W8e)=>{\"use strict\";W8e.exports={attributes:fZ(),supplyDefaults:U8e(),calc:lZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:j8e(),moduleType:\"trace\",name:\"volume\",basePlotModule:ux(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var Y8e=ye((Tmr,Z8e)=>{\"use strict\";Z8e.exports=X8e()});var $8e=ye((Amr,J8e)=>{\"use strict\";var RDt=Oa(),K8e=Pr(),DDt=td(),FDt=e5();J8e.exports=function(t,r,n,i){function a(c,f){return K8e.coerce(t,r,FDt,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&K8e.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var 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Ie=2-n(xe)/G(2*M/3);return[ve*G(6*M)/(2*Ie),v(xe)*q((4-Ie*Ie)/3)]};function An(){return t.geoProjection(Fn).scale(165.664)}function Hn(ve,xe){var Ie=G(M*(4+M));return[2/Ie*ve*(1+G(1-4*xe*xe/(M*M))),4/Ie*xe]}Hn.invert=function(ve,xe){var Ie=G(M*(4+M))/2;return[ve*Ie/(1+G(1-xe*xe*(4+M)/(4*M))),xe*Ie/2]};function Qn(){return t.geoProjection(Hn).scale(180.739)}function Vi(ve,xe){var Ie=(2+T)*m(xe);xe/=2;for(var ze=0,Qe=1/0;ze<10&&n(Qe)>p;ze++){var Xe=o(xe);xe-=Qe=(xe+m(xe)*(Xe+2)-Ie)/(2*Xe*(1+Xe))}return[2/G(M*(4+M))*ve*(1+o(xe)),2*G(M/(4+M))*m(xe)]}Vi.invert=function(ve,xe){var Ie=xe*G((4+M)/M)/2,ze=q(Ie),Qe=o(ze);return[ve/(2/G(M*(4+M))*(1+Qe)),q((ze+Ie*(Qe+2))/(2+T))]};function Jn(){return t.geoProjection(Vi).scale(180.739)}function Yn(ve,xe){return[ve*(1+o(xe))/G(2+M),2*xe/G(2+M)]}Yn.invert=function(ve,xe){var Ie=G(2+M),ze=xe*Ie/2;return[Ie*ve/(1+o(ze)),ze]};function Gt(){return t.geoProjection(Yn).scale(173.044)}function wt(ve,xe){for(var 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t.geoProjection(vo).scale(153.93)}var Ct=da(5/6*M,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Sr(){return t.geoProjection(Ct).scale(130.945)}function Jr(ve,xe){var Ie=ve*ve,ze=xe*xe;return[ve*(1-.162388*ze)*(.87-952426e-9*Ie*Ie),xe*(1+ze/12)]}Jr.invert=function(ve,xe){var Ie=ve,ze=xe,Qe=50,Xe;do{var nt=ze*ze;ze-=Xe=(ze*(1+nt/12)-xe)/(1+nt/4)}while(n(Xe)>p&&--Qe>0);Qe=50,ve/=1-.162388*nt;do{var qt=(qt=Ie*Ie)*qt;Ie-=Xe=(Ie*(.87-952426e-9*qt)-ve)/(.87-.00476213*qt)}while(n(Xe)>p&&--Qe>0);return[Ie,ze]};function hi(){return t.geoProjection(Jr).scale(131.747)}var hn=da(2.6516,-.76534,.19123,-.047094,1.36289,-.13965,.031762);function Sn(){return t.geoProjection(hn).scale(131.087)}function En(ve){var xe=ve(T,0)[0]-ve(-T,0)[0];function Ie(ze,Qe){var Xe=ze>0?-.5:.5,nt=ve(ze+Xe*M,Qe);return nt[0]-=Xe*xe,nt}return ve.invert&&(Ie.invert=function(ze,Qe){var Xe=ze>0?-.5:.5,nt=ve.invert(ze+Xe*xe,Qe),qt=nt[0]-Xe*M;return qt<-M?qt+=2*M:qt>M&&(qt-=2*M),nt[0]=qt,nt}),Ie}function ki(ve,xe){var Ie=v(ve),ze=v(xe),Qe=o(xe),Xe=o(ve)*Qe,nt=m(ve)*Qe,qt=m(ze*xe);ve=n(a(nt,qt)),xe=q(Xe),n(ve-T)>p&&(ve%=T);var Wt=_n(ve>M/4?T-ve:ve,xe);return ve>M/4&&(qt=Wt[0],Wt[0]=-Wt[1],Wt[1]=-qt),Wt[0]*=Ie,Wt[1]*=-ze,Wt}ki.invert=function(ve,xe){n(ve)>1&&(ve=v(ve)*2-ve),n(xe)>1&&(xe=v(xe)*2-xe);var Ie=v(ve),ze=v(xe),Qe=-Ie*ve,Xe=-ze*xe,nt=Xe/Qe<1,qt=ya(nt?Xe:Qe,nt?Qe:Xe),Wt=qt[0],nr=qt[1],fr=o(nr);return nt&&(Wt=-T-Wt),[Ie*(a(m(Wt)*fr,-m(nr))+M),ze*q(o(Wt)*fr)]};function _n(ve,xe){if(xe===T)return[0,0];var Ie=m(xe),ze=Ie*Ie,Qe=ze*ze,Xe=1+Qe,nt=1+3*Qe,qt=1-Qe,Wt=q(1/G(Xe)),nr=qt+ze*Xe*Wt,fr=(1-Ie)/nr,br=G(fr),Fr=fr*Xe,Hr=G(Fr),ri=br*qt,Ci,cn;if(ve===0)return[0,-(ri+ze*Hr)];var sn=o(xe),Ln=1/sn,Kn=2*Ie*sn,Aa=(-3*ze+Wt*nt)*Kn,fa=(-nr*sn-(1-Ie)*Aa)/(nr*nr),$a=.5*fa/br,Co=qt*$a-2*ze*br*Kn,Qa=ze*Xe*fa+fr*nt*Kn,mo=-Ln*Kn,Bo=-Ln*Qa,Ps=-2*Ln*Co,Ts=4*ve/M,wo;if(ve>.222*M||xe<M/4&&ve>.175*M){if(Ci=(ri+ze*G(Fr*(1+Qe)-ri*ri))/(1+Qe),ve>M/4)return[Ci,Ci];var To=Ci,hl=.5*Ci;Ci=.5*(hl+To),cn=50;do{var 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ve?(ze=_o(ve,Ie),xe?(Qe=_o(xe,1-Ie),Xe=Qe[1]*Qe[1]+Ie*ze[0]*ze[0]*Qe[0]*Qe[0],[[ze[0]*Qe[2]/Xe,ze[1]*ze[2]*Qe[0]*Qe[1]/Xe],[ze[1]*Qe[1]/Xe,-ze[0]*ze[2]*Qe[0]*Qe[2]/Xe],[ze[2]*Qe[1]*Qe[2]/Xe,-Ie*ze[0]*ze[1]*Qe[0]/Xe]]):[[ze[0],0],[ze[1],0],[ze[2],0]]):(Qe=_o(xe,1-Ie),[[0,Qe[0]/Qe[1]],[1/Qe[1],0],[Qe[2]/Qe[1],0]])}function _o(ve,xe){var Ie,ze,Qe,Xe,nt;if(xe<p)return Xe=m(ve),ze=o(ve),Ie=xe*(ve-Xe*ze)/4,[Xe-Ie*ze,ze+Ie*Xe,1-xe*Xe*Xe/2,ve-Ie];if(xe>=1-p)return Ie=(1-xe)/4,ze=N(ve),Xe=Z(ve),Qe=1/ze,nt=ze*j(ve),[Xe+Ie*(nt-ve)/(ze*ze),Qe-Ie*Xe*Qe*(nt-ve),Qe+Ie*Xe*Qe*(nt+ve),2*i(s(ve))-T+Ie*(nt-ve)/ze];var qt=[1,0,0,0,0,0,0,0,0],Wt=[G(xe),0,0,0,0,0,0,0,0],nr=0;for(ze=G(1-xe),nt=1;n(Wt[nr]/qt[nr])>p&&nr<8;)Ie=qt[nr++],Wt[nr]=(Ie-ze)/2,qt[nr]=(Ie+ze)/2,ze=G(Ie*ze),nt*=2;Qe=nt*qt[nr]*ve;do Xe=Wt[nr]*m(ze=Qe)/qt[nr],Qe=(q(Xe)+Qe)/2;while(--nr);return[m(Qe),Xe=o(Qe),Xe/o(Qe-ze),Qe]}function No(ve,xe,Ie){var ze=n(ve),Qe=n(xe),Xe=j(Qe);if(ze){var nt=1/m(ze),qt=1/(b(ze)*b(ze)),Wt=-(qt+Ie*(Xe*Xe*nt*nt)-1+Ie),nr=(Ie-1)*qt,fr=(-Wt+G(Wt*Wt-4*nr))/2;return[po(i(1/G(fr)),Ie)*v(ve),po(i(G((fr/qt-1)/Ie)),1-Ie)*v(xe)]}return[0,po(i(Xe),1-Ie)*v(xe)]}function po(ve,xe){if(!xe)return ve;if(xe===1)return u(b(ve/2+L));for(var Ie=1,ze=G(1-xe),Qe=G(xe),Xe=0;n(Qe)>p;Xe++){if(ve%M){var nt=i(ze*b(ve)/Ie);nt<0&&(nt+=M),ve+=nt+~~(ve/M)*M}else ve+=ve;Qe=(Ie+ze)/2,ze=G(Ie*ze),Qe=((Ie=Qe)-ze)/2}return ve/(h(2,Xe)*Ie)}function Lo(ve,xe){var Ie=(C-1)/(C+1),ze=G(1-Ie*Ie),Qe=po(T,ze*ze),Xe=-1,nt=u(b(M/4+n(xe)/2)),qt=s(Xe*nt)/G(Ie),Wt=ko(qt*o(Xe*ve),qt*m(Xe*ve)),nr=No(Wt[0],Wt[1],ze*ze);return[-nr[1],(xe>=0?1:-1)*(.5*Qe-nr[0])]}function ko(ve,xe){var Ie=ve*ve,ze=xe+1,Qe=1-Ie-xe*xe;return[.5*((ve>=0?T:-T)-a(Qe,2*ve)),-.25*u(Qe*Qe+4*Ie)+.5*u(ze*ze+Ie)]}function Ds(ve,xe){var Ie=xe[0]*xe[0]+xe[1]*xe[1];return[(ve[0]*xe[0]+ve[1]*xe[1])/Ie,(ve[1]*xe[0]-ve[0]*xe[1])/Ie]}Lo.invert=function(ve,xe){var Ie=(C-1)/(C+1),ze=G(1-Ie*Ie),Qe=po(T,ze*ze),Xe=-1,nt=Ma(.5*Qe-xe,-ve,ze*ze),qt=Ds(nt[0],nt[1]),Wt=a(qt[1],qt[0])/Xe;return[Wt,2*i(s(.5/Xe*u(Ie*qt[0]*qt[0]+Ie*qt[1]*qt[1])))-T]};function Fs(){return t.geoProjection(En(Lo)).scale(151.496)}function ll(ve){var xe=m(ve),Ie=o(ve),ze=ul(ve);ze.invert=ul(-ve);function Qe(Xe,nt){var qt=ze(Xe,nt);Xe=qt[0],nt=qt[1];var Wt=m(nt),nr=o(nt),fr=o(Xe),br=V(xe*Wt+Ie*nr*fr),Fr=m(br),Hr=n(Fr)>p?br/Fr:1;return[Hr*Ie*m(Xe),(n(Xe)>T?Hr:-Hr)*(xe*nr-Ie*Wt*fr)]}return Qe.invert=function(Xe,nt){var qt=G(Xe*Xe+nt*nt),Wt=-m(qt),nr=o(qt),fr=qt*nr,br=-nt*Wt,Fr=qt*xe,Hr=G(fr*fr+br*br-Fr*Fr),ri=a(fr*Fr+br*Hr,br*Fr-fr*Hr),Ci=(qt>T?-1:1)*a(Xe*Wt,qt*o(ri)*nr+nt*m(ri)*Wt);return ze.invert(Ci,ri)},Qe}function ul(ve){var xe=m(ve),Ie=o(ve);return function(ze,Qe){var Xe=o(Qe),nt=o(ze)*Xe,qt=m(ze)*Xe,Wt=m(Qe);return[a(qt,nt*Ie-Wt*xe),q(Wt*Ie+nt*xe)]}}function Fl(){var ve=0,xe=t.geoProjectionMutator(ll),Ie=xe(ve),ze=Ie.rotate,Qe=Ie.stream,Xe=t.geoCircle();return Ie.parallel=function(nt){if(!arguments.length)return ve*P;var qt=Ie.rotate();return xe(ve=nt*E).rotate(qt)},Ie.rotate=function(nt){return arguments.length?(ze.call(Ie,[nt[0],nt[1]-ve*P]),Xe.center([-nt[0],-nt[1]]),Ie):(nt=ze.call(Ie),nt[1]+=ve*P,nt)},Ie.stream=function(nt){return nt=Qe(nt),nt.sphere=function(){nt.polygonStart();var qt=.01,Wt=Xe.radius(90-qt)().coordinates[0],nr=Wt.length-1,fr=-1,br;for(nt.lineStart();++fr<nr;)nt.point((br=Wt[fr])[0],br[1]);for(nt.lineEnd(),Wt=Xe.radius(90+qt)().coordinates[0],nr=Wt.length-1,nt.lineStart();--fr>=0;)nt.point((br=Wt[fr])[0],br[1]);nt.lineEnd(),nt.polygonEnd()},nt},Ie.scale(79.4187).parallel(45).clipAngle(180-.001)}var us=3,rl=q(1-1/us)*P,As=Yr(0);function cl(ve){var xe=rl*E,Ie=xt(M,xe)[0]-xt(-M,xe)[0],ze=As(0,xe)[1],Qe=xt(0,xe)[1],Xe=S-Qe,nt=g/ve,qt=4/g,Wt=ze+Xe*Xe*4/g;function nr(fr,br){var Fr,Hr=n(br);if(Hr>xe){var 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JDe=ye((syr,KDe)=>{\"use strict\";var nd=Fa(),jZ=Pr(),s7t=Oa(),a5=Math.PI/180,nw=180/Math.PI,XZ={cursor:\"pointer\"},ZZ={cursor:\"auto\"};function l7t(e,t){var r=e.projection,n;return t._isScoped?n=u7t:t._isClipped?n=f7t:n=c7t,n(e,r)}KDe.exports=l7t;function YZ(e,t){return nd.behavior.zoom().translate(t.translate()).scale(t.scale())}function KZ(e,t,r){var n=e.id,i=e.graphDiv,a=i.layout,o=a[n],s=i._fullLayout,l=s[n],u={},c={};function f(h,d){u[n+\".\"+h]=jZ.nestedProperty(o,h).get(),s7t.call(\"_storeDirectGUIEdit\",a,s._preGUI,u);var v=jZ.nestedProperty(l,h);v.get()!==d&&(v.set(d),jZ.nestedProperty(o,h).set(d),c[n+\".\"+h]=d)}r(f),f(\"projection.scale\",t.scale()/e.fitScale),f(\"fitbounds\",!1),i.emit(\"plotly_relayout\",c)}function u7t(e,t){var r=YZ(e,t);function n(){nd.select(this).style(XZ)}function i(){t.scale(nd.event.scale).translate(nd.event.translate),e.render(!0);var 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a=t[this.id],o=[],s=!1;for(var l in hp.layerNameToAdjective)if(l!==\"frame\"&&a[\"show\"+l]){s=!0;break}for(var u=!1,c=0;c<e.length;c++){var f=e[0][0].trace;f._geo=i,f.locationmode&&(s=!0);var h=f.marker;if(h){var d=h.angle,v=h.angleref;(d||v===\"north\"||v===\"previous\")&&(u=!0)}}if(this._hasMarkerAngles=u,s){var m=rFe.getTopojsonName(a);(i.topojson===null||m!==i.topojsonName)&&(i.topojsonName=m,PlotlyGeoAssets.topojson[i.topojsonName]===void 0&&o.push(i.fetchTopojson()))}o=o.concat(tFe.fetchTraceGeoData(e)),r.push(new Promise(function(b,p){Promise.all(o).then(function(){i.topojson=PlotlyGeoAssets.topojson[i.topojsonName],i.update(e,t),b()}).catch(p)}))};tm.fetchTopojson=function(){var e=this,t=rFe.getTopojsonPath(e.topojsonURL,e.topojsonName);return new Promise(function(r,n){u1.json(t,function(i,a){if(i)return i.status===404?n(new Error([\"plotly.js could not find topojson file at\",t+\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):n(new 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fFe=ye((cyr,cFe)=>{\"use strict\";var VF=Pr(),B7t=O_(),N7t=Id().getSubplotData,{unwrapLonRange:U7t}=ey(),GF=hk(),V7t=eY(),uFe=GF.axesNames;cFe.exports=function(t,r,n){B7t(t,r,n,{type:\"geo\",attributes:V7t,handleDefaults:G7t,fullData:n,partition:\"y\"})};function G7t(e,t,r,n){var i=N7t(n.fullData,\"geo\",n.id),a=i.map(function(ae){return ae.index}),o=r(\"resolution\"),s=r(\"scope\"),l=GF.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!GF.lonaxisSpan[u];if(e.visible===!1){var m=VF.extendDeep({},t._template);m.showcoastlines=!1,m.showcountries=!1,m.showframe=!1,m.showlakes=!1,m.showland=!1,m.showocean=!1,m.showrivers=!1,m.showsubunits=!1,m.lonaxis&&(m.lonaxis.showgrid=!1),m.lataxis&&(m.lataxis.showgrid=!1),t._template=m}for(var b=r(\"visible\"),p,k=0;k<uFe.length;k++){var M=uFe[k],T=[30,10][k],L;if(f)L=l[M+\"Range\"];else{var x=GF[M+\"Span\"],C=(x[u]||x[\"*\"])/2,S=r(\"projection.rotation.\"+M.slice(0,3),l.projRotate[k]);L=[S-C,S+C]}var g=r(M+\".range\",L);r(M+\".tick0\"),r(M+\".dtick\",T),p=r(M+\".showgrid\",b?void 0:!1),p&&(r(M+\".gridcolor\"),r(M+\".gridwidth\"),r(M+\".griddash\")),t[M]._ax={type:\"linear\",_id:M.slice(0,3),_traceIndices:a,setScale:VF.identity,c2l:VF.identity,r2l:VF.identity,autorange:!0,range:g.slice(),_m:1,_input:{}}}var P=t.lonaxis.range,E=t.lataxis.range;let[z,q]=U7t(P);var V=(z+q)/2,G;if(!c){var Z=f?l.projRotate:[V,0,0];G=r(\"projection.rotation.lon\",Z[0]),r(\"projection.rotation.lat\",Z[1]),r(\"projection.rotation.roll\",Z[2]),p=r(\"showcoastlines\",!f&&b),p&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),p=r(\"showocean\",b?void 0:!1),p&&r(\"oceancolor\")}var j,N;if(c?(j=-96.6,N=38.7):(j=f?V:G,N=(E[0]+E[1])/2),r(\"center.lon\",j),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var 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wqt=Pze(),Tqt=lM(),Aqt=Bze(),Sqt=cY(),Mqt=Gze(),hY=document.createElement(\"canvas\"),dp=hY.getContext(\"2d\");Hze.exports=Eqt;function Eqt(e,t){if(!Sqt(e))throw Error(\"Argument should be valid svg path string\");t||(t={});var r,n;t.shape?(r=t.shape[0],n=t.shape[1]):(r=hY.width=t.w||t.width||200,n=hY.height=t.h||t.height||200);var i=Math.min(r,n),a=t.stroke||0,o=t.viewbox||t.viewBox||wqt(e),s=[r/(o[2]-o[0]),n/(o[3]-o[1])],l=Math.min(s[0]||0,s[1]||0)/2;if(dp.fillStyle=\"black\",dp.fillRect(0,0,r,n),dp.fillStyle=\"white\",a&&(typeof a!=\"number\"&&(a=1),a>0?dp.strokeStyle=\"white\":dp.strokeStyle=\"black\",dp.lineWidth=Math.abs(a)),dp.translate(r*.5,n*.5),dp.scale(l,l),kqt()){var u=new Path2D(e);dp.fill(u),a&&dp.stroke(u)}else{var c=Tqt(e);Aqt(dp,c),dp.fill(),a&&dp.stroke()}dp.setTransform(1,0,0,1,0,0);var f=Mqt(dp,{cutoff:t.cutoff!=null?t.cutoff:.5,radius:t.radius!=null?t.radius:i*.5});return f}var rz;function kqt(){if(rz!=null)return rz;var e=document.createElement(\"canvas\").getContext(\"2d\");if(e.canvas.width=e.canvas.height=1,!window.Path2D)return rz=!1;var t=new Path2D(\"M0,0h1v1h-1v-1Z\");e.fillStyle=\"black\",e.fill(t);var r=e.getImageData(0,0,1,1);return rz=r&&r.data&&r.data[3]===255}});var cw=ye((Zyr,r7e)=>{\"use strict\";var nz=Eo(),Cqt=jze(),iz=lx(),Lqt=Oa(),d5=Pr(),bh=d5.isArrayOrTypedArray,f5=So(),Wze=df(),Xze=o1().formatColor,h5=Ru(),Pqt=U3(),vY=KF(),Tk=gx(),Iqt=Z1().DESELECTDIM,Zze={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},Rqt=ip().appendArrayPointValue;function Dqt(e,t){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=e._context.plotGlPixelRatio;if(t.visible!==!0)return n;if(h5.hasText(t)&&(n.text=t7e(e,t),n.textSel=Kze(e,t,t.selected),n.textUnsel=Kze(e,t,t.unselected)),h5.hasMarkers(t)&&(n.marker=gY(e,t),n.markerSel=pY(e,t,t.selected),n.markerUnsel=pY(e,t,t.unselected),!t.unselected&&bh(t.marker.opacity))){var a=t.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=Iqt*a[r]}if(h5.hasLines(t)){n.line={overlay:!0,thickness:t.line.width*i,color:t.line.color,opacity:t.opacity};var o=(Tk.DASHES[t.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=t.line.width*i;n.line.dashes=o}return t.error_x&&t.error_x.visible&&(n.errorX=Jze(t,t.error_x,i)),t.error_y&&t.error_y.visible&&(n.errorY=Jze(t,t.error_y,i)),t.fill&&t.fill!==\"none\"&&(n.fill={closed:!0,fill:t.fillcolor,thickness:0}),n}function t7e(e,t){var r=e._fullLayout,n=t._length,i=t.textfont,a=t.textposition,o=bh(a)?a:[a],s=i.color,l=i.size,u=i.family,c=i.weight,f=i.style,h=i.variant,d={},v,m=e._context.plotGlPixelRatio,b=t.texttemplate;if(b){d.text=[];var p=r._d3locale,k=Array.isArray(b),M=k?Math.min(b.length,n):n,T=k?function(P){return b[P]}:function(){return b};for(v=0;v<M;v++){var L={i:v},x=t._module.formatLabels(L,t,r),C={};Rqt(C,t,v),d.text.push(d5.texttemplateString({data:[C,L,t._meta],fallback:t.texttemplatefallback,labels:x,locale:p,template:T(v)}))}}else bh(t.text)&&t.text.length<n?d.text=t.text.slice():d.text=t.text;if(bh(d.text))for(v=d.text.length;v<n;v++)d.text[v]=\"\";for(d.opacity=t.opacity,d.font={},d.align=[],d.baseline=[],v=0;v<o.length;v++){var S=o[v].split(/\\s+/);switch(S[1]){case\"left\":d.align.push(\"right\");break;case\"right\":d.align.push(\"left\");break;default:d.align.push(S[1])}switch(S[0]){case\"top\":d.baseline.push(\"bottom\");break;case\"bottom\":d.baseline.push(\"top\");break;default:d.baseline.push(S[0])}}if(bh(s))for(d.color=new Array(n),v=0;v<n;v++)d.color[v]=s[v];else d.color=s;if(bh(l)||Array.isArray(u)||bh(c)||Array.isArray(f)||Array.isArray(h))for(d.font=new Array(n),v=0;v<n;v++){var g=d.font[v]={};g.size=(d5.isTypedArray(l)?l[v]:bh(l)?nz(l[v])?l[v]:0:l)*m,g.family=Array.isArray(u)?u[v]:u,g.weight=Yze(bh(c)?c[v]:c),g.style=Array.isArray(f)?f[v]:f,g.variant=Array.isArray(h)?h[v]:h}else d.font={size:l*m,family:u,weight:Yze(c),style:f,variant:h};return d}function Yze(e){return e<=1e3?e>500?\"bold\":\"normal\":e}function gY(e,t){var r=t._length,n=t.marker,i={},a,o=bh(n.symbol),s=bh(n.angle),l=bh(n.color),u=bh(n.line.color),c=bh(n.opacity),f=bh(n.size),h=bh(n.line.width),d;if(o||(d=vY.isOpenSymbol(n.symbol)),o||l||u||c||s){i.symbols=new Array(r),i.angles=new Array(r),i.colors=new Array(r),i.borderColors=new Array(r);var v=n.symbol,m=n.angle,b=Xze(n,n.opacity,r),p=Xze(n.line,n.opacity,r);if(!bh(p[0])){var k=p;for(p=Array(r),a=0;a<r;a++)p[a]=k}if(!bh(b[0])){var M=b;for(b=Array(r),a=0;a<r;a++)b[a]=M}if(!bh(v)){var T=v;for(v=Array(r),a=0;a<r;a++)v[a]=T}if(!bh(m)){var L=m;for(m=Array(r),a=0;a<r;a++)m[a]=L}for(i.symbols=v,i.angles=m,i.colors=b,i.borderColors=p,a=0;a<r;a++)o&&(d=vY.isOpenSymbol(n.symbol[a])),d&&(p[a]=b[a].slice(),b[a]=b[a].slice(),b[a][3]=0);for(i.opacity=t.opacity,i.markers=new Array(r),a=0;a<r;a++)i.markers[a]=e7e({mx:i.symbols[a],ma:i.angles[a]},t)}else d?(i.color=iz(n.color,\"uint8\"),i.color[3]=0,i.borderColor=iz(n.color,\"uint8\")):(i.color=iz(n.color,\"uint8\"),i.borderColor=iz(n.line.color,\"uint8\")),i.opacity=t.opacity*n.opacity,i.marker=e7e({mx:n.symbol,ma:n.angle},t);var x=1,C=Pqt(t,x),S;if(f||h){var g=i.sizes=new Array(r),P=i.borderSizes=new Array(r),E=0,z;if(f){for(a=0;a<r;a++)g[a]=C(n.size[a]),E+=g[a];z=E/r}else for(S=C(n.size),a=0;a<r;a++)g[a]=S;if(h)for(a=0;a<r;a++)P[a]=n.line.width[a];else for(S=n.line.width,a=0;a<r;a++)P[a]=S;i.sizeAvg=z}else i.size=C(n&&n.size||10),i.borderSizes=C(n.line.width);return i}function pY(e,t,r){var n=t.marker,i={};return r&&(r.marker&&r.marker.symbol?i=gY(e,d5.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),r.marker.opacity!==void 0&&(i.opacity=r.marker.opacity))),i}function Kze(e,t,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:t.text,texttemplate:t.texttemplate,textposition:t.textposition,textfont:d5.extendFlat({},t.textfont)};r.textfont&&d5.extendFlat(i.textfont,r.textfont),n=t7e(e,i)}return n}function Jze(e,t,r){var n={capSize:t.width*2*r,lineWidth:t.thickness*r,color:t.color};return t.copy_ystyle&&(n=e.error_y),n}var $ze=Tk.SYMBOL_SDF_SIZE,uw=Tk.SYMBOL_SIZE,Qze=Tk.SYMBOL_STROKE,dY={},Fqt=f5.symbolFuncs[0](uw*.05);function e7e(e,t){var r=e.mx;if(r===\"circle\")return null;var n,i,a=f5.symbolNumber(r),o=f5.symbolFuncs[a%100],s=!!f5.symbolNoDot[a%100],l=!!f5.symbolNoFill[a%100],u=vY.isDotSymbol(r);if(e.ma&&(r+=\"_\"+e.ma),dY[r])return dY[r];var c=f5.getMarkerAngle(e,t);return u&&!s?n=o(uw*1.1,c)+Fqt:n=o(uw,c),i=Cqt(n,{w:$ze,h:$ze,viewBox:[-uw,-uw,uw,uw],stroke:l?Qze:-Qze}),dY[r]=i,i||null}function zqt(e,t,r){var n=r.length,i=n/2,a,o;if(h5.hasLines(t)&&i)if(t.line.shape===\"hv\"){for(a=[],o=0;o<i-1;o++)isNaN(r[o*2])||isNaN(r[o*2+1])?a.push(NaN,NaN,NaN,NaN):(a.push(r[o*2],r[o*2+1]),!isNaN(r[o*2+2])&&!isNaN(r[o*2+3])?a.push(r[o*2+2],r[o*2+1]):a.push(NaN,NaN));a.push(r[n-2],r[n-1])}else if(t.line.shape===\"hvh\"){for(a=[],o=0;o<i-1;o++)if(isNaN(r[o*2])||isNaN(r[o*2+1])||isNaN(r[o*2+2])||isNaN(r[o*2+3]))!isNaN(r[o*2])&&!isNaN(r[o*2+1])?a.push(r[o*2],r[o*2+1]):a.push(NaN,NaN),a.push(NaN,NaN);else{var s=(r[o*2]+r[o*2+2])/2;a.push(r[o*2],r[o*2+1],s,r[o*2+1],s,r[o*2+3])}a.push(r[n-2],r[n-1])}else if(t.line.shape===\"vhv\"){for(a=[],o=0;o<i-1;o++)if(isNaN(r[o*2])||isNaN(r[o*2+1])||isNaN(r[o*2+2])||isNaN(r[o*2+3]))!isNaN(r[o*2])&&!isNaN(r[o*2+1])?a.push(r[o*2],r[o*2+1]):a.push(NaN,NaN),a.push(NaN,NaN);else{var l=(r[o*2+1]+r[o*2+3])/2;a.push(r[o*2],r[o*2+1],r[o*2],l,r[o*2+2],l)}a.push(r[n-2],r[n-1])}else if(t.line.shape===\"vh\"){for(a=[],o=0;o<i-1;o++)isNaN(r[o*2])||isNaN(r[o*2+1])?a.push(NaN,NaN,NaN,NaN):(a.push(r[o*2],r[o*2+1]),!isNaN(r[o*2+2])&&!isNaN(r[o*2+3])?a.push(r[o*2],r[o*2+3]):a.push(NaN,NaN));a.push(r[n-2],r[n-1])}else a=r;var u=!1;for(o=0;o<a.length;o++)if(isNaN(a[o])){u=!0;break}var c=u||a.length>Tk.TOO_MANY_POINTS||h5.hasMarkers(t)?\"rect\":\"round\";if(u&&t.connectgaps){var f=a[0],h=a[1];for(o=0;o<a.length;o+=2)isNaN(a[o])||isNaN(a[o+1])?(a[o]=f,a[o+1]=h):(f=a[o],h=a[o+1])}return{join:c,positions:a}}function qqt(e,t,r,n,i){var a=Lqt.getComponentMethod(\"errorbars\",\"makeComputeError\"),o=Wze.getFromId(e,t.xaxis,\"x\"),s=Wze.getFromId(e,t.yaxis,\"y\"),l=r.length/2,u={};function c(f,h){var d=h._id.charAt(0),v=t[\"error_\"+d];if(v&&v.visible&&(h.type===\"linear\"||h.type===\"log\")){for(var m=a(v),b={x:0,y:1}[d],p={x:[0,1,2,3],y:[2,3,0,1]}[d],k=new Float64Array(4*l),M=1/0,T=-1/0,L=0,x=0;L<l;L++,x+=4){var C=f[L];if(nz(C)){var S=r[L*2+b],g=m(C,L),P=g[0],E=g[1];if(nz(P)&&nz(E)){var z=C-P,q=C+E;k[x+p[0]]=S-h.c2l(z),k[x+p[1]]=h.c2l(q)-S,k[x+p[2]]=0,k[x+p[3]]=0,M=Math.min(M,C-P),T=Math.max(T,C+E)}}}u[d]={positions:r,errors:k,_bnds:[M,T]}}}return c(n,o),c(i,s),u}function Oqt(e,t,r,n){var i=t._length,a={},o;if(h5.hasMarkers(t)){var s=r.font,l=r.align,u=r.baseline;for(a.offset=new Array(i),o=0;o<i;o++){var c=n.sizes?n.sizes[o]:n.size,f=bh(s)?s[o].size:s.size,h=bh(l)?l.length>1?l[o]:l[0]:l,d=bh(u)?u.length>1?u[o]:u[0]:u,v=Zze[h],m=Zze[d],b=c?c/.8+1:0,p=-m*b-m*.5;a.offset[o]=[v*b/f,p/f]}}return a}r7e.exports={style:Dqt,markerStyle:gY,markerSelection:pY,linePositions:zqt,errorBarPositions:qqt,textPosition:Oqt}});var mY=ye((Yyr,i7e)=>{\"use strict\";var az=Pr();i7e.exports=function(t,r){var n=r._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return r._scene||(n=r._scene={},n.init=function(){az.extendFlat(n,a,i)},n.init(),n.update=function(s){var l=az.repeat(s,n.count);if(n.fill2d&&n.fill2d.update(l),n.scatter2d&&n.scatter2d.update(l),n.line2d&&n.line2d.update(l),n.error2d&&n.error2d.update(l.concat(l)),n.select2d&&n.select2d.update(l),n.glText)for(var u=0;u<n.count;u++)n.glText[u].update(s)},n.draw=function(){for(var s=n.count,l=n.fill2d,u=n.error2d,c=n.line2d,f=n.scatter2d,h=n.glText,d=n.select2d,v=n.selectBatch,m=n.unselectBatch,b=0;b<s;b++){if(l&&n.fillOrder[b]&&l.draw(n.fillOrder[b]),c&&n.lineOptions[b]&&c.draw(b),u&&(n.errorXOptions[b]&&u.draw(b),n.errorYOptions[b]&&u.draw(b+s)),f&&n.markerOptions[b])if(m[b].length){var p=az.repeat([],n.count);p[b]=m[b],f.draw(p)}else v[b].length||f.draw(b);h[b]&&n.textOptions[b]&&h[b].render()}d&&d.draw(v),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach(function(s){s.destroy&&s.destroy()}),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,r._scene=null}),n.dirty||az.extendFlat(n,i),n}});var u7e=ye((Kyr,l7e)=>{\"use strict\";var Bqt=$F(),v5=Pr(),n7e=df(),Nqt=Mg().findExtremes,a7e=zg(),yY=O0(),Uqt=yY.calcMarkerSize,Vqt=yY.calcAxisExpansion,Gqt=yY.setFirstScatter,Hqt=z0(),p5=cw(),jqt=mY(),o7e=fs().BADNUM,Wqt=gx().TOO_MANY_POINTS;l7e.exports=function(t,r){var n=t._fullLayout,i=r._xA=n7e.getFromId(t,r.xaxis,\"x\"),a=r._yA=n7e.getFromId(t,r.yaxis,\"y\"),o=n._plots[r.xaxis+r.yaxis],s=r._length,l=s>=Wqt,u=s*2,c={},f,h=i.makeCalcdata(r,\"x\"),d=a.makeCalcdata(r,\"y\"),v=a7e(r,i,\"x\",h),m=a7e(r,a,\"y\",d),b=v.vals,p=m.vals;r._x=b,r._y=p,r.xperiodalignment&&(r._origX=h,r._xStarts=v.starts,r._xEnds=v.ends),r.yperiodalignment&&(r._origY=d,r._yStarts=m.starts,r._yEnds=m.ends);var k=new Array(u),M=new Array(s);for(f=0;f<s;f++)k[f*2]=b[f]===o7e?NaN:b[f],k[f*2+1]=p[f]===o7e?NaN:p[f],M[f]=f;if(i.type===\"log\")for(f=0;f<u;f+=2)k[f]=i.c2l(k[f]);if(a.type===\"log\")for(f=1;f<u;f+=2)k[f]=a.c2l(k[f]);l&&i.type!==\"log\"&&a.type!==\"log\"?c.tree=Bqt(k):c.ids=M,Hqt(t,r);var T=Xqt(t,o,r,k,b,p),L=jqt(t,o);Gqt(n,r);var x;return l?T.marker&&(x=T.marker.sizeAvg||Math.max(T.marker.size,3)):x=Uqt(r,s),Vqt(t,r,i,a,b,p,x),T.errorX&&s7e(r,i,T.errorX),T.errorY&&s7e(r,a,T.errorY),T.fill&&!L.fill2d&&(L.fill2d=!0),T.marker&&!L.scatter2d&&(L.scatter2d=!0),T.line&&!L.line2d&&(L.line2d=!0),(T.errorX||T.errorY)&&!L.error2d&&(L.error2d=!0),T.text&&!L.glText&&(L.glText=!0),T.marker&&(T.marker.snap=s),L.lineOptions.push(T.line),L.errorXOptions.push(T.errorX),L.errorYOptions.push(T.errorY),L.fillOptions.push(T.fill),L.markerOptions.push(T.marker),L.markerSelectedOptions.push(T.markerSel),L.markerUnselectedOptions.push(T.markerUnsel),L.textOptions.push(T.text),L.textSelectedOptions.push(T.textSel),L.textUnselectedOptions.push(T.textUnsel),L.selectBatch.push([]),L.unselectBatch.push([]),c._scene=L,c.index=L.count,c.x=b,c.y=p,c.positions=k,L.count++,[{x:!1,y:!1,t:c,trace:r}]};function s7e(e,t,r){var n=e._extremes[t._id],i=Nqt(t,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}function Xqt(e,t,r,n,i,a){var o=p5.style(e,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&v5.extendFlat(o.line,p5.linePositions(e,r,n)),o.errorX||o.errorY){var s=p5.errorBarPositions(e,r,n,i,a);o.errorX&&v5.extendFlat(o.errorX,s.x),o.errorY&&v5.extendFlat(o.errorY,s.y)}return o.text&&(v5.extendFlat(o.text,{positions:n},p5.textPosition(e,r,o.text,o.marker)),v5.extendFlat(o.textSel,{positions:n},p5.textPosition(e,r,o.text,o.markerSel)),v5.extendFlat(o.textUnsel,{positions:n},p5.textPosition(e,r,o.text,o.markerUnsel))),o}});var _Y=ye((Jyr,f7e)=>{\"use strict\";var c7e=Pr(),Zqt=ka(),Yqt=Z1().DESELECTDIM;function Kqt(e){var t=e[0],r=t.trace,n=t.t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],u=i.textSelectedOptions[a]||{},c=i.textUnselectedOptions[a]||{},f=c7e.extendFlat({},l),h,d;if(o.length||s.length){var v=u.color,m=c.color,b=l.color,p=c7e.isArrayOrTypedArray(b);for(f.color=new Array(r._length),h=0;h<o.length;h++)d=o[h],f.color[d]=v||(p?b[d]:b);for(h=0;h<s.length;h++){d=s[h];var k=p?b[d]:b;f.color[d]=m||(v?k:Zqt.addOpacity(k,Yqt))}}i.glText[a].update(f)}f7e.exports={styleTextSelection:Kqt}});var xY=ye(($yr,d7e)=>{\"use strict\";var h7e=Ru(),Jqt=_Y().styleTextSelection;d7e.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l=n[0].t,u=s._length,c=l.x,f=l.y,h=l._scene,d=l.index;if(!h)return o;var v=h7e.hasText(s),m=h7e.hasMarkers(s),b=!m&&!v;if(s.visible!==!0||b)return o;var p=[],k=[];if(r!==!1&&!r.degenerate)for(var M=0;M<u;M++)r.contains([l.xpx[M],l.ypx[M]],!1,M,t)?(p.push(M),o.push({pointNumber:M,x:i.c2d(c[M]),y:a.c2d(f[M])})):k.push(M);if(m){var T=h.scatter2d;if(!p.length&&!k.length){var L=new Array(h.count);L[d]=h.markerOptions[d],T.update.apply(T,L)}else if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var x=new Array(h.count);x[d]=h.markerUnselectedOptions[d],T.update.apply(T,x)}}return h.selectBatch[d]=p,h.unselectBatch[d]=k,v&&Jqt(n),o}});var p7e=ye((Qyr,v7e)=>{\"use strict\";var $qt=YF();v7e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:mh(),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:_k(),supplyDefaults:KFe(),crossTraceDefaults:vU(),colorbar:Qd(),formatLabels:$Fe(),calc:u7e(),hoverPoints:$qt.hoverPoints,selectPoints:xY(),meta:{}}});var m7e=ye((e1r,sz)=>{\"use strict\";var oz=ak();sz.exports=g7e;sz.exports.to=g7e;sz.exports.from=Qqt;function g7e(e,t){t==null&&(t=!0);var r=e[0],n=e[1],i=e[2],a=e[3];a==null&&(a=t?1:255),t&&(r*=255,n*=255,i*=255,a*=255),r=oz(r,0,255)&255,n=oz(n,0,255)&255,i=oz(i,0,255)&255,a=oz(a,0,255)&255;var o=r*16777216+(n<<16)+(i<<8)+a;return o}function Qqt(e,t){e=+e;var r=e>>>24,n=(e&16711680)>>>16,i=(e&65280)>>>8,a=e&255;return t===!1?[r,n,i,a]:[r/255,n/255,i/255,a/255]}});var Nh=ye((t1r,_7e)=>{\"use strict\";var y7e=Object.getOwnPropertySymbols,eOt=Object.prototype.hasOwnProperty,tOt=Object.prototype.propertyIsEnumerable;function rOt(e){if(e==null)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(e)}function iOt(){try{if(!Object.assign)return!1;var e=new String(\"abc\");if(e[5]=\"de\",Object.getOwnPropertyNames(e)[0]===\"5\")return!1;for(var t={},r=0;r<10;r++)t[\"_\"+String.fromCharCode(r)]=r;var n=Object.getOwnPropertyNames(t).map(function(a){return t[a]});if(n.join(\"\")!==\"0123456789\")return!1;var i={};return\"abcdefghijklmnopqrst\".split(\"\").forEach(function(a){i[a]=a}),Object.keys(Object.assign({},i)).join(\"\")===\"abcdefghijklmnopqrst\"}catch(a){return!1}}_7e.exports=iOt()?Object.assign:function(e,t){for(var r,n=rOt(e),i,a=1;a<arguments.length;a++){r=Object(arguments[a]);for(var o in r)eOt.call(r,o)&&(n[o]=r[o]);if(y7e){i=y7e(r);for(var s=0;s<i.length;s++)tOt.call(r,i[s])&&(n[i[s]]=r[i[s]])}}return n}});var b7e=ye((r1r,x7e)=>{x7e.exports=function(e){typeof e==\"string\"&&(e=[e]);for(var t=[].slice.call(arguments,1),r=[],n=0;n<e.length-1;n++)r.push(e[n],t[n]||\"\");return r.push(e[n]),r.join(\"\")}});var bY=ye((i1r,w7e)=>{\"use strict\";w7e.exports=function(t,r,n){Array.isArray(n)||(n=[].slice.call(arguments,2));for(var i=0,a=n.length;i<a;i++){var o=n[i];for(var s in o)if(!(r[s]!==void 0&&!Array.isArray(r[s])&&t[s]===r[s])&&s in r){var l;if(o[s]===!0)l=r[s];else{if(o[s]===!1)continue;if(typeof o[s]==\"function\"&&(l=o[s](r[s],t,r),l===void 0))continue}t[s]=l}}return t}});var A7e=ye((n1r,T7e)=>{\"use strict\";T7e.exports=typeof navigator!=\"undefined\"&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))});var lz=ye((a1r,g5)=>{\"use strict\";g5.exports=Ak;g5.exports.float32=g5.exports.float=Ak;g5.exports.fract32=g5.exports.fract=nOt;var S7e=new Float32Array(1);function nOt(e,t){if(e.length){if(e instanceof Float32Array)return new Float32Array(e.length);t instanceof Float32Array||(t=Ak(e));for(var r=0,n=t.length;r<n;r++)t[r]=e[r]-t[r];return t}return Ak(e-Ak(e))}function Ak(e){return e.length?e instanceof Float32Array?e:new Float32Array(e):(S7e[0]=e,S7e[0])}});var TY=ye((o1r,k7e)=>{\"use strict\";function aOt(e,t){var r=e==null?null:typeof Symbol!=\"undefined\"&&e[Symbol.iterator]||e[\"@@iterator\"];if(r!=null){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(e)).next,t===0){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==t);l=!0);}catch(c){u=!0,i=c}finally{try{if(!l&&r.return!=null&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}function oOt(e,t){return uOt(e)||aOt(e,t)||E7e(e,t)||hOt()}function sOt(e){return lOt(e)||cOt(e)||E7e(e)||fOt()}function lOt(e){if(Array.isArray(e))return wY(e)}function uOt(e){if(Array.isArray(e))return e}function cOt(e){if(typeof Symbol!=\"undefined\"&&e[Symbol.iterator]!=null||e[\"@@iterator\"]!=null)return Array.from(e)}function E7e(e,t){if(e){if(typeof e==\"string\")return wY(e,t);var r=Object.prototype.toString.call(e).slice(8,-1);if(r===\"Object\"&&e.constructor&&(r=e.constructor.name),r===\"Map\"||r===\"Set\")return Array.from(e);if(r===\"Arguments\"||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r))return wY(e,t)}}function wY(e,t){(t==null||t>e.length)&&(t=e.length);for(var r=0,n=new Array(t);r<t;r++)n[r]=e[r];return n}function fOt(){throw new TypeError(`Invalid attempt to spread non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function hOt(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var dOt=lx(),vOt=ow(),pOt=m7e(),gOt=$F(),fw=Nh(),uz=b7e(),mOt=ry(),yOt=bY(),_Ot=sw(),M7e=A7e(),cz=lz(),xOt=c5(),bOt=av;function av(e,t){var r=this;if(!(this instanceof av))return new av(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=M7e,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),fw(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,p){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,p){return p.xAttr||{buffer:p.positionBuffer,stride:8,offset:0}},y:function(b,p){return p.yAttr||{buffer:p.positionBuffer,stride:8,offset:4}},xFract:function(b,p){return p.xAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:0}},yFract:function(b,p){return p.yAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:4}},size:function(b,p){return p.size.length?{buffer:p.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(p.size*255/r.maxSize)]}},borderSize:function(b,p){return p.borderSize.length?{buffer:p.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(p.borderSize*255/r.maxSize)]}},colorId:function(b,p){return p.color.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(p.color*4,p.color*4+4):[p.color]}},borderColorId:function(b,p){return p.borderColor.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(p.borderColor*4,p.borderColor*4+4):[p.borderColor]}},isActive:function(b,p){return p.activation===!0?{constant:[1]}:p.activation?p.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=fw({},h);d.frag=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform float opacity;\n",
+       "uniform sampler2D markerTexture;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float smoothStep(float x, float y) {\n",
+       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n",
+       "\n",
+       "  // max-distance alpha\n",
+       "  if (dist < 0.003) discard;\n",
+       "\n",
+       "  // null-border case\n",
+       "  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n",
+       "    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n",
+       "    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n",
+       "  }\n",
+       "  else {\n",
+       "    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n",
+       "    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n",
+       "\n",
+       "    vec4 color = fragBorderColor;\n",
+       "    color.a *= borderColorAmt;\n",
+       "    color = mix(color, fragColor, colorAmt);\n",
+       "    color.a *= opacity;\n",
+       "\n",
+       "    gl_FragColor = color;\n",
+       "  }\n",
+       "\n",
+       "}\n",
+       "`]),d.vert=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "const float borderLevel = .5;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = 2. * size * pointSizeScale;\n",
+       "  fragPointSize = size * pixelRatio;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "\n",
+       "  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n",
+       "  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n",
+       "}\n",
+       "`]),this.drawMarker=e(d);var v=fw({},h);v.frag=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "uniform float opacity;\n",
+       "\n",
+       "float smoothStep(float edge0, float edge1, float x) {\n",
+       "\tfloat t;\n",
+       "\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n",
+       "\treturn t * t * (3.0 - 2.0 * t);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat radius, alpha = 1.0, delta = fragWidth;\n",
+       "\n",
+       "\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n",
+       "\n",
+       "\tif (radius > 1.0 + delta) {\n",
+       "\t\tdiscard;\n",
+       "\t}\n",
+       "\n",
+       "\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n",
+       "\n",
+       "\tfloat borderRadius = fragBorderRadius;\n",
+       "\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n",
+       "\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n",
+       "\tcolor.a *= alpha * opacity;\n",
+       "\tgl_FragColor = color;\n",
+       "}\n",
+       "`]),v.vert=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = (size + borderSize) * pointSizeScale;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "}\n",
+       "`]),M7e&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}av.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4};av.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};av.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(o,s){e.drawItem(s)});return this};av.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,sOt(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};av.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[fw({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[fw({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),m=0;m<r.length;m++){var b=r[m];v[b]=d?d[b]:1}s.subdata(v)}for(var p=f.length;p--;){var k=oOt(f[p],2),M=k[0],T=k[1];c.push(fw({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:M,count:T-M}))}return c};av.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=mOt(c,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},c=fw({},av.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(yOt(h,c,[{snap:!0,size:function(j,N){return j==null&&(j=av.defaults.size),d+=j&&j.length?1:0,j},borderSize:function(j,N){return j==null&&(j=av.defaults.borderSize),d+=j&&j.length?1:0,j},opacity:parseFloat,color:function(j,N){return j==null&&(j=av.defaults.color),j=e.updateColor(j),v++,j},borderColor:function(j,N){return j==null&&(j=av.defaults.borderColor),j=e.updateColor(j),v++,j},bounds:function(j,N,H){return\"range\"in H||(H.range=null),j},positions:function(j,N,H){var re=N.snap,ae=N.positionBuffer,_e=N.positionFractBuffer,Ee=N.selectionBuffer;if(j.x||j.y)return j.x.length?N.xAttr={buffer:o.buffer(j.x),offset:0,stride:4,count:j.x.length}:N.xAttr={buffer:j.x.buffer,offset:j.x.offset*4||0,stride:(j.x.stride||1)*4,count:j.x.count},j.y.length?N.yAttr={buffer:o.buffer(j.y),offset:0,stride:4,count:j.y.length}:N.yAttr={buffer:j.y.buffer,offset:j.y.offset*4||0,stride:(j.y.stride||1)*4,count:j.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),j;j=_Ot(j,\"float64\");var Ce=N.count=Math.floor(j.length/2),ge=N.bounds=Ce?vOt(j,2):null;if(!H.range&&!N.range&&(delete N.range,H.range=ge),!H.marker&&!N.marker&&(delete N.marker,H.marker=null),re&&(re===!0||Ce>re)?N.tree=gOt(j,{bounds:ge}):re&&re.length&&(N.tree=re),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Se=cz.float32(j);ae({data:Se,usage:\"dynamic\"});var ke=cz.fract32(j,Se);return _e({data:ke,usage:\"dynamic\"}),Ee({data:new Uint8Array(Ce),type:\"uint8\",usage:\"stream\"}),j}},{marker:function(j,N,H){var re=N.activation;if(re.forEach(function(ke){return ke&&ke.destroy&&ke.destroy()}),re.length=0,!j||typeof j[0]==\"number\"){var ae=e.addMarker(j);re[ae]=!0}else{for(var _e=[],Ee=0,Ce=Math.min(j.length,N.count);Ee<Ce;Ee++){var ge=e.addMarker(j[Ee]);_e[ge]||(_e[ge]=new Uint8Array(N.count)),_e[ge][Ee]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Se={data:_e[ie],type:\"uint8\",usage:\"static\"};re[ie]?re[ie](Se):re[ie]=o.buffer(Se),re[ie].data=_e[ie]}}return j},range:function(j,N,H){var re=N.bounds;if(re)return j||(j=re),N.scale=[1/(j[2]-j[0]),1/(j[3]-j[1])],N.translate=[-j[0],-j[1]],N.scaleFract=cz.fract(N.scale),N.translateFract=cz.fract(N.translate),j},viewport:function(j){var N=xOt(j||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var m=h,b=m.count,p=m.size,k=m.borderSize,M=m.sizeBuffer,T=new Uint8Array(b*2);if(p.length||k.length)for(var L=0;L<b;L++)T[L*2]=Math.round((p[L]==null?p:p[L])*255/s),T[L*2+1]=Math.round((k[L]==null?k:k[L])*255/s);M({data:T,usage:\"dynamic\"})}if(v){var x=h,C=x.count,S=x.color,g=x.borderColor,P=x.colorBuffer,E;if(e.tooManyColors){if(S.length||g.length){E=new Uint8Array(C*8);for(var z=0;z<C;z++){var q=S[z];E[z*8]=u[q*4],E[z*8+1]=u[q*4+1],E[z*8+2]=u[q*4+2],E[z*8+3]=u[q*4+3];var V=g[z];E[z*8+4]=u[V*4],E[z*8+5]=u[V*4+1],E[z*8+6]=u[V*4+2],E[z*8+7]=u[V*4+3]}}}else if(S.length||g.length){E=new Uint8Array(C*4+2);for(var G=0;G<C;G++)S[G]!=null&&(E[G*4]=S[G]%l,E[G*4+1]=Math.floor(S[G]/l)),g[G]!=null&&(E[G*4+2]=g[G]%l,E[G*4+3]=Math.floor(g[G]/l))}P({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};av.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};av.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=dOt(u,\"uint8\");var c=pOt(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};av.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};av.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return 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+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
+       "attribute vec4 color;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "vec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n",
+       "\t// the order is important\n",
+       "\treturn position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineOffset = lineTop * 2. - 1.;\n",
+       "\n",
+       "\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n",
+       "\ttangent = normalize(diff * scale * viewport.zw);\n",
+       "\tvec2 normal = vec2(-tangent.y, tangent.x);\n",
+       "\n",
+       "\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n",
+       "\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n",
+       "\n",
+       "\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "}\n",
+       "`,lUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1.;\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`,uUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 position, positionFract;\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float pixelRatio, id;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "const float MAX_LINES = 256.;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n",
+       "\n",
+       "\tvec2 position = position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "\tfragColor.a *= opacity;\n",
+       "}\n",
+       "`,cUt=`\n",
+       "precision highp float;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "\tgl_FragColor = fragColor;\n",
+       "}\n",
+       "`,fUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
+       "attribute vec4 aColor, bColor;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, translate;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float miterLimit, miterMode;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 tangent;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "const float REVERSE_THRESHOLD = -.875;\n",
+       "const float MIN_DIFF = 1e-6;\n",
+       "\n",
+       "// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n",
+       "// TODO: precalculate dot products, normalize things beforehead etc.\n",
+       "// TODO: refactor to rectangular algorithm\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "bool isNaN( float val ){\n",
+       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n",
+       "\n",
+       "  vec2 adjustedScale;\n",
+       "  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n",
+       "  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n",
+       "\n",
+       "  vec2 scaleRatio = adjustedScale * viewport.zw;\n",
+       "\tvec2 normalWidth = thickness / scaleRatio;\n",
+       "\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineBot = 1. - lineTop;\n",
+       "\n",
+       "\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n",
+       "\n",
+       "\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n",
+       "\n",
+       "\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n",
+       "\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n",
+       "\n",
+       "\n",
+       "\tvec2 prevDiff = aCoord - prevCoord;\n",
+       "\tvec2 currDiff = bCoord - aCoord;\n",
+       "\tvec2 nextDiff = nextCoord - bCoord;\n",
+       "\n",
+       "\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n",
+       "\tvec2 currTangent = normalize(currDiff * scaleRatio);\n",
+       "\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n",
+       "\n",
+       "\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n",
+       "\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n",
+       "\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n",
+       "\n",
+       "\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n",
+       "\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n",
+       "\n",
+       "\t// collapsed/unidirectional segment cases\n",
+       "\t// FIXME: there should be more elegant solution\n",
+       "\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n",
+       "\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n",
+       "\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tstartJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tendJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (aCoord == bCoord) {\n",
+       "\t\tendJoinDirection = startJoinDirection;\n",
+       "\t\tcurrNormal = prevNormal;\n",
+       "\t\tcurrTangent = prevTangent;\n",
+       "\t}\n",
+       "\n",
+       "\ttangent = currTangent;\n",
+       "\n",
+       "\t//calculate join shifts relative to normals\n",
+       "\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n",
+       "\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n",
+       "\n",
+       "\tfloat startMiterRatio = abs(1. / startJoinShift);\n",
+       "\tfloat endMiterRatio = abs(1. / endJoinShift);\n",
+       "\n",
+       "\tvec2 startJoin = startJoinDirection * startMiterRatio;\n",
+       "\tvec2 endJoin = endJoinDirection * endMiterRatio;\n",
+       "\n",
+       "\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n",
+       "\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n",
+       "\tstartBotJoin = -startTopJoin;\n",
+       "\n",
+       "\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n",
+       "\tendBotJoin = -endTopJoin;\n",
+       "\n",
+       "\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n",
+       "\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n",
+       "\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n",
+       "\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n",
+       "\n",
+       "\t//miter anti-clipping\n",
+       "\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n",
+       "\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n",
+       "\n",
+       "\t//prevent close to reverse direction switch\n",
+       "\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\n",
+       "\tif (prevReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n",
+       "\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\tbTopCoord -= normalWidth * endTopJoin;\n",
+       "\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tif (nextReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n",
+       "\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\taBotCoord -= normalWidth * startBotJoin;\n",
+       "\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\t//position is normalized 0..1 coord on the screen\n",
+       "\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n",
+       "\n",
+       "\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n",
+       "\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n",
+       "\n",
+       "\t//bevel miter cutoffs\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t//round miter cutoffs\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "}\n",
+       "`,hUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1., distToStart, distToEnd;\n",
+       "\tfloat cutoff = thickness * .5;\n",
+       "\n",
+       "\t//bevel miter\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// round miter\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`;COe.exports=Wc;function Wc(e,t){if(!(this instanceof Wc))return new Wc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=Wc.shaders.has(e)?Wc.shaders.get(e):Wc.shaders.set(e,Wc.createShaders(e)).get(e),this.update(t)}Wc.dashMult=2;Wc.maxPatternLength=256;Wc.precisionThreshold=3e6;Wc.maxPoints=1e4;Wc.maxLines=2048;Wc.shaders=new aUt;Wc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(QY({vert:sUt,frag:lUt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(QY({cull:{enable:!0,face:\"back\"},vert:fUt,frag:hUt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:uUt,frag:cUt,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};Wc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};Wc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};Wc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>Wc.precisionThreshold||t.scale[1]*t.viewport.height>Wc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=Wc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};Wc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=tUt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=QY({},Wc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<Wc.maxLines&&(o.depth=2*(Wc.maxLines-1-a%Wc.maxLines)/Wc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?Mz(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=kOe(i.viewport)),o.viewport||(o.viewport=kOe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,m=i.positions.y;c=o.count=Math.max(v.length,m.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=m[b]}else u=rUt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=eUt(u,2);if(o.fill){let v=[],m={},b=0;for(let p=0,k=0,M=o.count;p<M;p++){let T=u[p*2],L=u[p*2+1];isNaN(T)||isNaN(L)||T==null||L==null?(T=u[b*2],L=u[b*2+1],m[p]=b):b=p,v[k++]=T,v[k++]=L}if(i.splitNull){o.count-1 in m||(m[o.count]=o.count-1);let p=Object.keys(m).map(Number).sort((L,x)=>L-x),k=[],M=0,T=o.hole!=null?o.hole[0]:null;if(T!=null){let L=oUt(p,x=>x>=T);p=p.slice(0,L),p.push(T)}for(let L=0;L<p.length;L++){let x=v.slice(M*2,p[L]*2).concat(T?v.slice(T*2):[]),C=(o.hole||[]).map(g=>g-T+(p[L]-M)),S=EOe(x,C);S=S.map(g=>g+M+(g+M<p[L]?0:T-p[L])),k.push(...S),M=p[L]+1}for(let L=0,x=k.length;L<x;L++)m[k[L]]!=null&&(k[L]=m[k[L]]);o.triangles=k}else{let p=EOe(v,o.hole||[]);for(let k=0,M=p.length;k<M;k++)m[p[k]]!=null&&(p[k]=m[p[k]]);o.triangles=p}}let h=new Float64Array(u);iUt(h,2,f);let d=new Float64Array(c*2+6);o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[0]=h[c*2-4],d[1]=h[c*2-3]):(d[0]=h[c*2-2],d[1]=h[c*2-1]):(d[0]=h[0],d[1]=h[1]),d.set(h,2),o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[c*2+2]=h[2],d[c*2+3]=h[3],o.count-=1):(d[c*2+2]=h[0],d[c*2+3]=h[1],d[c*2+4]=h[2],d[c*2+5]=h[3]):(d[c*2+2]=h[c*2-2],d[c*2+3]=h[c*2-1],d[c*2+4]=h[c*2-2],d[c*2+5]=h[c*2-1]);var s=nUt(d);o.positionBuffer(s);var l=$Y(d,s);o.positionFractBuffer(l)}if(i.range?o.range=i.range:o.range||(o.range=o.bounds),(i.range||i.positions)&&o.count){let u=o.bounds,c=u[2]-u[0],f=u[3]-u[1],h=o.range[2]-o.range[0],d=o.range[3]-o.range[1];o.scale=[c/h,f/d],o.translate=[-o.range[0]/h+u[0]/h||0,-o.range[1]/d+u[1]/d||0],o.scaleFract=$Y(o.scale),o.translateFract=$Y(o.translate)}if(i.dashes){let u=0,c;if(!i.dashes||i.dashes.length<2)u=1,c=new Uint8Array([255,255,255,255,255,255,255,255]);else{u=0;for(let d=0;d<i.dashes.length;++d)u+=i.dashes[d];c=new Uint8Array(u*Wc.dashMult);let f=0,h=255;for(let d=0;d<2;d++)for(let v=0;v<i.dashes.length;++v){for(let m=0,b=i.dashes[v]*Wc.dashMult*.5;m<b;++m)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=Mz(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=Mz(c[h],\"uint8\");f.set(d,h*4)}f.set(Mz(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};Wc.prototype.destroy=function(){return this.passes.forEach(e=>{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var DOe=ye((C_r,ROe)=>{\"use strict\";var dUt=ow(),vUt=lx(),pUt=bY(),gUt=ry(),LOe=Nh(),POe=sw(),{float32:mUt,fract32:tK}=lz();ROe.exports=yUt;var IOe=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]];function yUt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:IOe}),v(t),n=e({vert:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tattribute vec2 position, positionFract;\n",
+       "\t\tattribute vec4 error;\n",
+       "\t\tattribute vec4 color;\n",
+       "\n",
+       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
+       "\n",
+       "\t\tuniform vec4 viewport;\n",
+       "\t\tuniform float lineWidth, capSize;\n",
+       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tfragColor = color / 255.;\n",
+       "\n",
+       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
+       "\n",
+       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
+       "\n",
+       "\t\t\tvec2 position = position + dxy;\n",
+       "\n",
+       "\t\t\tvec2 pos = (position + translate) * scale\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
+       "\t\t\t\t+ (position + translate) * scaleFract\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "\t\t\tpos += pixelOffset / viewport.zw;\n",
+       "\n",
+       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
+       "\t\t}\n",
+       "\t\t`,frag:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tuniform float opacity;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tgl_FragColor = fragColor;\n",
+       "\t\t\tgl_FragColor.a *= opacity;\n",
+       "\t\t}\n",
+       "\t\t`,uniforms:{range:e.prop(\"range\"),lineWidth:e.prop(\"lineWidth\"),capSize:e.prop(\"capSize\"),opacity:e.prop(\"opacity\"),scale:e.prop(\"scale\"),translate:e.prop(\"translate\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),viewport:(b,p)=>[p.viewport.x,p.viewport.y,b.viewportWidth,b.viewportHeight]},attributes:{color:{buffer:o,offset:(b,p)=>p.offset*4,divisor:1},position:{buffer:i,offset:(b,p)=>p.offset*8,divisor:1},positionFract:{buffer:a,offset:(b,p)=>p.offset*8,divisor:1},error:{buffer:s,offset:(b,p)=>p.offset*16,divisor:1},direction:{buffer:l,stride:24,offset:0},lineOffset:{buffer:l,stride:24,offset:8},capOffset:{buffer:l,stride:24,offset:16}},primitive:\"triangles\",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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S||(S=E),g.scale=[1/(S[2]-S[0]),1/(S[3]-S[1])],g.translate=[-S[0],-S[1]],g.scaleFract=tK(g.scale),g.translateFract=tK(g.translate),S},viewport:S=>{let g;return Array.isArray(S)?g={x:S[0],y:S[1],width:S[2]-S[0],height:S[3]-S[1]}:S?(g={x:S.x||S.left||0,y:S.y||S.top||0},S.right?g.width=S.right-g.x:g.width=S.w||S.width||0,S.bottom?g.height=S.bottom-g.y:g.height=S.h||S.height||0):g={x:0,y:0,width:r.drawingBufferWidth,height:r.drawingBufferHeight},g}}]),C}),p||k){let L=c.reduce((g,P,E)=>g+(P?P.count:0),0),x=new Float64Array(L*2),C=new Uint8Array(L*4),S=new Float32Array(L*4);c.forEach((g,P)=>{if(!g)return;let{positions:E,count:z,offset:q,color:V,errors:G}=g;z&&(C.set(V,q*4),S.set(G,q*4),x.set(E,q*2))});var M=mUt(x);i(M);var T=tK(x,M);a(T),o(C),s(S)}}function m(){i.destroy(),a.destroy(),o.destroy(),s.destroy(),l.destroy()}}});var qOe=ye((L_r,zOe)=>{var FOe=/[\\'\\\"]/;zOe.exports=function(t){return 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HOe=ye((q_r,GOe)=>{\"use strict\";var VOe=UOe();GOe.exports=function(t,r,n){if(t==null)throw Error(\"First argument should be a string\");if(r==null)throw Error(\"Separator should be a string or a RegExp\");n?(typeof n==\"string\"||Array.isArray(n))&&(n={ignore:n}):n={},n.escape==null&&(n.escape=!0),n.ignore==null?n.ignore=[\"[]\",\"()\",\"{}\",\"<>\",'\"\"',\"''\",\"``\",\"\\u201C\\u201D\",\"\\xAB\\xBB\"]:(typeof n.ignore==\"string\"&&(n.ignore=[n.ignore]),n.ignore=n.ignore.map(function(f){return f.length===1&&(f=f+f),f}));var i=VOe.parse(t,{flat:!0,brackets:n.ignore}),a=i[0],o=a.split(r);if(n.escape){for(var s=[],l=0;l<o.length;l++){var u=o[l],c=o[l+1];u[u.length-1]===\"\\\\\"&&u[u.length-2]!==\"\\\\\"?(s.push(u+r+c),l++):s.push(u)}o=s}for(var l=0;l<o.length;l++)i[0]=o[l],o[l]=VOe.stringify(i,{flat:!0});return o}});var jOe=ye((O_r,AUt)=>{AUt.exports=[\"xx-small\",\"x-small\",\"small\",\"medium\",\"large\",\"x-large\",\"xx-large\",\"larger\",\"smaller\"]});var lK=ye((B_r,WOe)=>{\"use 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si(Ut,Oe),Ut.width=0,Ut.height=0,Bi(Ut,Nt),Ut.width=Ut.width||(Oe.width>>Ft)-It,Ut.height=Ut.height||(Oe.height>>Ft)-Bt,al(Oe),Nn(Ut,_n,It,Bt,Ft),io(),Cn(Ut),ht}function cr(Nt,Ne){var $e=Nt|0,st=Ne|0||$e;if($e===Oe.width&&st===Oe.height)return ht;ht.width=Oe.width=$e,ht.height=Oe.height=st,al(Oe);for(var It=0;Oe.mipmask>>It;++It){var Bt=$e>>It,Ft=st>>It;if(!Bt||!Ft)break;Me.texImage2D(_n,It,Oe.format,Bt,Ft,0,Oe.format,Oe.type,null)}return io(),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,$e,st,!1,!1)),ht}return ht(ne,we),ht.subimage=Yt,ht.resize=cr,ht._reglType=\"texture2d\",ht._texture=Oe,Nr.profile&&(ht.stats=Oe.stats),ht.destroy=function(){Oe.decRef()},ht}function J(ne,we,Oe,ht,Yt,cr){var Nt=new wa(ya);ss[Nt.id]=Nt,Or.cubeCount++;var Ne=new Array(6);function $e(Bt,Ft,Ut,zt,_t,Dt){var vt,lr=Nt.texInfo;for(zo.call(lr),vt=0;vt<6;++vt)Ne[vt]=Ga();if(typeof Bt==\"number\"||!Bt){var _r=Bt|0||1;for(vt=0;vt<6;++vt)sa(Ne[vt],_r,_r)}else if(typeof 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It(Bt){var Ft=Bt|0;if(Ft!==Nt.width){$e.width=Nt.width=Ft,$e.height=Nt.height=Ft,al(Nt);for(var Ut=0;Ut<6;++Ut)for(var zt=0;Nt.mipmask>>zt;++zt)Me.texImage2D(ea+Ut,zt,Nt.format,Ft>>zt,Ft>>zt,0,Nt.format,Nt.type,null);return io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,!1,!0)),$e}}return $e(ne,we,Oe,ht,Yt,cr),$e.subimage=st,$e.resize=It,$e._reglType=\"textureCube\",$e._texture=Nt,Nr.profile&&($e.stats=Nt.stats),$e.destroy=function(){Nt.decRef()},$e}function O(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;gt(ss).forEach(Y),Or.cubeCount=0,Or.textureCount=0}Nr.profile&&(Or.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}gt(ss).forEach(function(Oe){Oe.texture=Me.createTexture(),Me.bindTexture(Oe.target,Oe.texture);for(var ht=0;ht<32;++ht)if((Oe.mipmask&1<<ht)!==0)if(Oe.target===_n)Me.texImage2D(_n,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);else for(var Yt=0;Yt<6;++Yt)Me.texImage2D(ea+Yt,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);nl(Oe.texInfo,Oe.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:O,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,gs=36194,Wf=33189,Wh=36168,rh=34041,lf=35907,Sh=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[Wf]=2,js[Wh]=1,js[rh]=4,js[lf]=4,js[Sh]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,Ot){return js[Me]*bt*Ot}var Dc=function(Me,bt,Ot,Lr,Vr){var Or={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:Wf,stencil:Wh,\"depth 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Qi(){gt(Ni).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Bl,Wi.renderbuffer),Me.renderbufferStorage(Bl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Bl,null)}return{create:Vn,clear:function(){gt(Ni).forEach(Si)},restore:Qi}},ks=36160,bc=36161,hu=3553,_u=34069,il=36064,nh=36096,Mh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,qu=6408,bf=[];bf[qu]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function uf(Me,bt,Ot,Lr,Vr,Or){var Nr={cur:null,next:null,dirty:!1,setFBO:null},vi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ni.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Si(Ui,Bi,pn){this.target=Ui,this.texture=Bi,this.renderbuffer=pn;var Nn=0,aa=0;Bi?(Nn=Bi.width,aa=Bi.height):pn&&(Nn=pn.width,aa=pn.height),this.width=Nn,this.height=aa}function Vn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,pn){if(Ui)if(Ui.texture){var Nn=Ui.texture._texture,aa=Math.max(1,Nn.width),Ki=Math.max(1,Nn.height);Nn.refCount+=1}else{var Cn=Ui.renderbuffer._renderbuffer;Cn.refCount+=1}}function Wi(Ui,Bi){Bi&&(Bi.texture?Me.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function oi(Ui){var Bi=hu,pn=null,Nn=null,aa=Ui;typeof Ui==\"object\"&&(aa=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Ki=aa._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=aa:Ki===\"renderbuffer\"&&(Nn=aa,Bi=bc),new Si(Bi,pn,Nn)}function Tr(Ui,Bi,pn,Nn,aa){if(pn){var Ki=Lr.create2D({width:Ui,height:Bi,format:Nn,type:aa});return Ki._texture.refCount=0,new Si(hu,Ki,null)}else{var Cn=Vr.create({width:Ui,height:Bi,format:Nn});return Cn._renderbuffer.refCount=0,new Si(bc,null,Cn)}}function Zr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function yi(Ui,Bi,pn){Ui&&(Ui.texture?Ui.texture.resize(Bi,pn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,pn),Ui.width=Bi,Ui.height=pn)}var Ii=0,ui={};function nn(){this.id=Ii++,ui[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Ui){Ui.colorAttachments.forEach(Vn),Vn(Ui.depthAttachment),Vn(Ui.stencilAttachment),Vn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Me.deleteFramebuffer(Bi),Ui.framebuffer=null,Or.framebufferCount--,delete ui[Ui.id]}function fi(Ui){var Bi;Me.bindFramebuffer(ks,Ui.framebuffer);var pn=Ui.colorAttachments;for(Bi=0;Bi<pn.length;++Bi)Wi(il+Bi,pn[Bi]);for(Bi=pn.length;Bi<Ot.maxColorAttachments;++Bi)Me.framebufferTexture2D(ks,il+Bi,hu,null,0);Me.framebufferTexture2D(ks,zu,hu,null,0),Me.framebufferTexture2D(ks,nh,hu,null,0),Me.framebufferTexture2D(ks,Mh,hu,null,0),Wi(nh,Ui.depthAttachment),Wi(Mh,Ui.stencilAttachment),Wi(zu,Ui.depthStencilAttachment);var Nn=Me.checkFramebufferStatus(ks);Me.isContextLost(),Me.bindFramebuffer(ks,Nr.next?Nr.next.framebuffer:null),Nr.cur=Nr.next,Me.getError()}function si(Ui,Bi){var pn=new nn;Or.framebufferCount++;function Nn(Ki,Cn){var ia,sa=0,ba=0,is=!0,Zs=!0,Ga=null,El=!0,zo=\"rgba\",Qs=\"uint8\",nl=1,Ul=null,ss=null,Vs=null,Ys=!1;if(typeof Ki==\"number\")sa=Ki|0,ba=Cn|0||sa;else if(!Ki)sa=ba=1;else{var wa=Ki;if(\"shape\"in wa){var al=wa.shape;sa=al[0],ba=al[1]}else\"radius\"in wa&&(sa=ba=wa.radius),\"width\"in wa&&(sa=wa.width),\"height\"in wa&&(ba=wa.height);(\"color\"in wa||\"colors\"in wa)&&(Ga=wa.color||wa.colors,Array.isArray(Ga)),Ga||(\"colorCount\"in wa&&(nl=wa.colorCount|0),\"colorTexture\"in wa&&(El=!!wa.colorTexture,zo=\"rgba4\"),\"colorType\"in wa&&(Qs=wa.colorType,El||(Qs===\"half float\"||Qs===\"float16\"?zo=\"rgba16f\":(Qs===\"float\"||Qs===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in wa&&(zo=wa.colorFormat,vi.indexOf(zo)>=0?El=!0:Ni.indexOf(zo)>=0&&(El=!1))),(\"depthTexture\"in wa||\"depthStencilTexture\"in wa)&&(Ys=!!(wa.depthTexture||wa.depthStencilTexture)),\"depth\"in wa&&(typeof wa.depth==\"boolean\"?is=wa.depth:(Ul=wa.depth,Zs=!1)),\"stencil\"in wa&&(typeof wa.stencil==\"boolean\"?Zs=wa.stencil:(ss=wa.stencil,is=!1)),\"depthStencil\"in wa&&(typeof wa.depthStencil==\"boolean\"?is=Zs=wa.depthStencil:(Vs=wa.depthStencil,is=!1,Zs=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Ga))io=Ga.map(oi);else if(Ga)io=[oi(Ga)];else for(io=new Array(nl),ia=0;ia<nl;++ia)io[ia]=Tr(sa,ba,El,zo,Qs);sa=sa||io[0].width,ba=ba||io[0].height,Ul?Y=oi(Ul):is&&!Zs&&(Y=Tr(sa,ba,Ys,\"depth\",\"uint32\")),ss?D=oi(ss):Zs&&!is&&(D=Tr(sa,ba,!1,\"stencil\",\"uint8\")),Vs?J=oi(Vs):!Ul&&!ss&&Zs&&is&&(J=Tr(sa,ba,Ys,\"depth stencil\",\"depth stencil\"));var O=null;for(ia=0;ia<io.length;++ia)if(Qi(io[ia],sa,ba),io[ia]&&io[ia].texture){var K=bf[io[ia].texture._texture.format]*jl[io[ia].texture._texture.type];O===null&&(O=K)}return Qi(Y,sa,ba),Qi(D,sa,ba),Qi(J,sa,ba),Zi(pn),pn.width=sa,pn.height=ba,pn.colorAttachments=io,pn.depthAttachment=Y,pn.stencilAttachment=D,pn.depthStencilAttachment=J,Nn.color=io.map(Zr),Nn.depth=Zr(Y),Nn.stencil=Zr(D),Nn.depthStencil=Zr(J),Nn.width=pn.width,Nn.height=pn.height,fi(pn),Nn}function aa(Ki,Cn){var ia=Math.max(Ki|0,1),sa=Math.max(Cn|0||ia,1);if(ia===pn.width&&sa===pn.height)return Nn;for(var ba=pn.colorAttachments,is=0;is<ba.length;++is)yi(ba[is],ia,sa);return yi(pn.depthAttachment,ia,sa),yi(pn.stencilAttachment,ia,sa),yi(pn.depthStencilAttachment,ia,sa),pn.width=Nn.width=ia,pn.height=Nn.height=sa,fi(pn),Nn}return Nn(Ui,Bi),e(Nn,{resize:aa,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){qn(pn),Zi(pn)},use:function(Ki){Nr.setFBO({framebuffer:Nn},Ki)}})}function mn(Ui){var Bi=Array(6);function pn(aa){var Ki,Cn={color:null},ia=0,sa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof aa==\"number\")ia=aa|0;else if(!aa)ia=1;else{var Ga=aa;if(\"shape\"in Ga){var El=Ga.shape;ia=El[0]}else\"radius\"in Ga&&(ia=Ga.radius|0),\"width\"in Ga?(ia=Ga.width|0,\"height\"in Ga):\"height\"in Ga&&(ia=Ga.height|0);(\"color\"in Ga||\"colors\"in Ga)&&(sa=Ga.color||Ga.colors,Array.isArray(sa)),sa||(\"colorCount\"in Ga&&(Zs=Ga.colorCount|0),\"colorType\"in Ga&&(is=Ga.colorType),\"colorFormat\"in Ga&&(ba=Ga.colorFormat)),\"depth\"in Ga&&(Cn.depth=Ga.depth),\"stencil\"in Ga&&(Cn.stencil=Ga.stencil),\"depthStencil\"in Ga&&(Cn.depthStencil=Ga.depthStencil)}var zo;if(sa)if(Array.isArray(sa))for(zo=[],Ki=0;Ki<sa.length;++Ki)zo[Ki]=sa[Ki];else zo=[sa];else{zo=Array(Zs);var Qs={radius:ia,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Lr.createCube(Qs)}for(Cn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var nl=zo[Ki];ia=ia||nl.width,Cn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Ul=0;Ul<zo.length;++Ul)Cn.color[Ul].target=_u+Ki;Ki>0&&(Cn.depth=Bi[0].depth,Cn.stencil=Bi[0].stencil,Cn.depthStencil=Bi[0].depthStencil),Bi[Ki]?Bi[Ki](Cn):Bi[Ki]=si(Cn)}return e(pn,{width:ia,height:ia,color:zo})}function Nn(aa){var Ki,Cn=aa|0;if(Cn===pn.width)return pn;var ia=pn.color;for(Ki=0;Ki<ia.length;++Ki)ia[Ki].resize(Cn);for(Ki=0;Ki<6;++Ki)Bi[Ki].resize(Cn);return pn.width=pn.height=Cn,pn}return pn(Ui),e(pn,{faces:Bi,resize:Nn,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(aa){aa.destroy()})}})}function Ji(){Nr.cur=null,Nr.next=null,Nr.dirty=!0,gt(ui).forEach(function(Ui){Ui.framebuffer=Me.createFramebuffer(),fi(Ui)})}return e(Nr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:si,createCube:mn,clear:function(){gt(ui).forEach(qn)},restore:Ji})}var Xh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Xh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,Ot,Lr,Vr,Or,Nr){for(var vi=Ot.maxAttributes,Ni=new Array(vi),qi=0;qi<vi;++qi)Ni[qi]=new du;var Si=0,Vn={},Qi={Record:du,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:oi()?Zi:function(){},createVAO:qn,getVAO:Zr,destroyBuffer:Wi,setVAO:oi()?yi:Ii,clear:oi()?ui:function(){}};function Wi(fi){for(var si=0;si<Ni.length;++si){var mn=Ni[si];mn.buffer===fi&&(Me.disableVertexAttribArray(si),mn.buffer=null)}}function oi(){return bt.oes_vertex_array_object}function Tr(){return bt.angle_instanced_arrays}function Zr(fi){return typeof fi==\"function\"&&fi._vao?fi._vao:null}function yi(fi){if(fi!==Qi.currentVAO){var si=oi();fi?si.bindVertexArrayOES(fi.vao):si.bindVertexArrayOES(null),Qi.currentVAO=fi}}function Ii(fi){if(fi!==Qi.currentVAO){if(fi)fi.bindAttrs();else{for(var si=Tr(),mn=0;mn<Ni.length;++mn){var Ji=Ni[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),si&&Ji.divisor&&si.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Nr.elements?Me.bindBuffer(Cs,Nr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}Qi.currentVAO=fi}}function ui(){gt(Vn).forEach(function(fi){fi.destroy()})}function nn(){this.id=++Si,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var fi=oi();fi?this.vao=fi.createVertexArrayOES():this.vao=null,Vn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var fi=Tr(),si=this.attributes,mn=0;mn<si.length;++mn){var Ji=si[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),fi&&Ji.divisor&&fi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Ui=si.length;Ui<vi;++Ui)Me.disableVertexAttribArray(Ui);var Bi=Or.getElements(this.elements);Bi?Me.bindBuffer(Cs,Bi.buffer.buffer):Me.bindBuffer(Cs,null)},nn.prototype.refresh=function(){var fi=oi();fi&&(fi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,fi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var fi=oi();this===Qi.currentVAO&&(Qi.currentVAO=null,fi.bindVertexArrayOES(null)),fi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Vn[this.id]&&(delete Vn[this.id],Lr.vaoCount-=1)};function Zi(){var fi=oi();fi&&gt(Vn).forEach(function(si){si.refresh()})}function qn(fi){var si=new nn;Lr.vaoCount+=1;function mn(Ji){var Ui;if(Array.isArray(Ji))Ui=Ji,si.elements&&si.ownsElements&&si.elements.destroy(),si.elements=null,si.ownsElements=!1,si.offset=0,si.count=0,si.instances=-1,si.primitive=4;else{if(Ji.elements){var Bi=Ji.elements;si.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(si.elements.destroy(),si.ownsElements=!1):(si.elements(Bi),si.ownsElements=!1):Or.getElements(Ji.elements)?(si.elements=Ji.elements,si.ownsElements=!1):(si.elements=Or.create(Ji.elements),si.ownsElements=!0)}else 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Wu(Me,bt,Ot,Lr){var Vr={},Or={};function Nr(Tr,Zr,yi,Ii){this.name=Tr,this.id=Zr,this.location=yi,this.info=Ii}function vi(Tr,Zr){for(var yi=0;yi<Tr.length;++yi)if(Tr[yi].id===Zr.id){Tr[yi].location=Zr.location;return}Tr.push(Zr)}function Ni(Tr,Zr,yi){var Ii=Tr===Xf?Vr:Or,ui=Ii[Zr];if(!ui){var nn=bt.str(Zr);ui=Me.createShader(Tr),Me.shaderSource(ui,nn),Me.compileShader(ui),Ii[Zr]=ui}return ui}var qi={},Si=[],Vn=0;function Qi(Tr,Zr){this.id=Vn++,this.fragId=Tr,this.vertId=Zr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Lr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Tr,Zr,yi){var Ii,ui,nn=Ni(Xf,Tr.fragId),Zi=Ni(Us,Tr.vertId),qn=Tr.program=Me.createProgram();if(Me.attachShader(qn,nn),Me.attachShader(qn,Zi),yi)for(Ii=0;Ii<yi.length;++Ii){var fi=yi[Ii];Me.bindAttribLocation(qn,fi[0],fi[1])}Me.linkProgram(qn);var si=Me.getProgramParameter(qn,wf);Lr.profile&&(Tr.stats.uniformsCount=si);var mn=Tr.uniforms;for(Ii=0;Ii<si;++Ii)if(ui=Me.getActiveUniform(qn,Ii),ui)if(ui.size>1)for(var Ji=0;Ji<ui.size;++Ji){var Ui=ui.name.replace(\"[0]\",\"[\"+Ji+\"]\");vi(mn,new Nr(Ui,bt.id(Ui),Me.getUniformLocation(qn,Ui),ui))}else vi(mn,new Nr(ui.name,bt.id(ui.name),Me.getUniformLocation(qn,ui.name),ui));var Bi=Me.getProgramParameter(qn,zc);Lr.profile&&(Tr.stats.attributesCount=Bi);var pn=Tr.attributes;for(Ii=0;Ii<Bi;++Ii)ui=Me.getActiveAttrib(qn,Ii),ui&&vi(pn,new Nr(ui.name,bt.id(ui.name),Me.getAttribLocation(qn,ui.name),ui))}Lr.profile&&(Ot.getMaxUniformsCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.uniformsCount>Tr&&(Tr=Zr.stats.uniformsCount)}),Tr},Ot.getMaxAttributesCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.attributesCount>Tr&&(Tr=Zr.stats.attributesCount)}),Tr});function oi(){Vr={},Or={};for(var Tr=0;Tr<Si.length;++Tr)Wi(Si[Tr],null,Si[Tr].attributes.map(function(Zr){return[Zr.location,Zr.name]}))}return{clear:function(){var Tr=Me.deleteShader.bind(Me);gt(Vr).forEach(Tr),Vr={},gt(Or).forEach(Tr),Or={},Si.forEach(function(Zr){Me.deleteProgram(Zr.program)}),Si.length=0,qi={},Ot.shaderCount=0},program:function(Tr,Zr,yi,Ii){var ui=qi[Zr];ui||(ui=qi[Zr]={});var nn=ui[Tr];if(nn&&(nn.refCount++,!Ii))return nn;var Zi=new Qi(Zr,Tr);return Ot.shaderCount++,Wi(Zi,yi,Ii),nn||(ui[Tr]=Zi),Si.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var qn=Si.indexOf(Zi);Si.splice(qn,1),Ot.shaderCount--}ui[Zi.vertId].refCount<=0&&(Me.deleteShader(Or[Zi.vertId]),delete Or[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(Vr[Zi.fragId]),delete Vr[Zi.fragId],delete qi[Zi.fragId])}})},restore:oi,shader:Ni,frag:-1,vert:-1}}var Rf=6408,Xu=5121,cf=3333,Zf=5126;function Wl(Me,bt,Ot,Lr,Vr,Or,Nr){function vi(Si){var Vn;bt.next===null?Vn=Xu:Vn=bt.next.colorAttachments[0].texture._texture.type;var 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bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",Ot=\"\",Lr,Vr=0;Vr<Me.length;Vr++)Lr=Me.charCodeAt(Vr),Ot+=bt.charAt(Lr>>>4&15)+bt.charAt(Lr&15);return Ot}function Oc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Ot=\"\",Lr=Me.length,Vr=0;Vr<Lr;Vr+=3)for(var Or=Me.charCodeAt(Vr)<<16|(Vr+1<Lr?Me.charCodeAt(Vr+1)<<8:0)|(Vr+2<Lr?Me.charCodeAt(Vr+2):0),Nr=0;Nr<4;Nr++)Vr*8+Nr*6>Me.length*8?Ot+=Zu:Ot+=bt.charAt(Or>>>6*(3-Nr)&63);return Ot}function ff(Me,bt){var Ot=bt.length,Lr=Array(),Vr,Or,Nr,vi,Ni=Array(Math.ceil(Me.length/2));for(Vr=0;Vr<Ni.length;Vr++)Ni[Vr]=Me.charCodeAt(Vr*2)<<8|Me.charCodeAt(Vr*2+1);for(;Ni.length>0;){for(vi=Array(),Nr=0,Vr=0;Vr<Ni.length;Vr++)Nr=(Nr<<16)+Ni[Vr],Or=Math.floor(Nr/Ot),Nr-=Or*Ot,(vi.length>0||Or>0)&&(vi[vi.length]=Or);Lr[Lr.length]=Nr,Ni=vi}var qi=\"\";for(Vr=Lr.length-1;Vr>=0;Vr--)qi+=bt.charAt(Lr[Vr]);var Si=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(Vr=qi.length;Vr<Si;Vr++)qi=bt[0]+qi;return qi}function fc(Me){for(var bt=\"\",Ot=-1,Lr,Vr;++Ot<Me.length;)Lr=Me.charCodeAt(Ot),Vr=Ot+1<Me.length?Me.charCodeAt(Ot+1):0,55296<=Lr&&Lr<=56319&&56320<=Vr&&Vr<=57343&&(Lr=65536+((Lr&1023)<<10)+(Vr&1023),Ot++),Lr<=127?bt+=String.fromCharCode(Lr):Lr<=2047?bt+=String.fromCharCode(192|Lr>>>6&31,128|Lr&63):Lr<=65535?bt+=String.fromCharCode(224|Lr>>>12&15,128|Lr>>>6&63,128|Lr&63):Lr<=2097151&&(bt+=String.fromCharCode(240|Lr>>>18&7,128|Lr>>>12&63,128|Lr>>>6&63,128|Lr&63));return bt}function Bc(Me){for(var bt=Array(Me.length>>2),Ot=0;Ot<bt.length;Ot++)bt[Ot]=0;for(var Ot=0;Ot<Me.length*8;Ot+=8)bt[Ot>>5]|=(Me.charCodeAt(Ot/8)&255)<<24-Ot%32;return bt}function kt(Me){for(var bt=\"\",Ot=0;Ot<Me.length*32;Ot+=8)bt+=String.fromCharCode(Me[Ot>>5]>>>24-Ot%32&255);return bt}function Zt(Me,bt){return Me>>>bt|Me<<32-bt}function Er(Me,bt){return Me>>>bt}function xr(Me,bt,Ot){return Me&bt^~Me&Ot}function Kr(Me,bt,Ot){return Me&bt^Me&Ot^bt&Ot}function Mi(Me){return Zt(Me,2)^Zt(Me,13)^Zt(Me,22)}function 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lr.def(ci+\")\")}),{frag:Ut,vert:zt,progVar:Dt,program:_t}}function Ga(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={},Ft=!1;function Ut(){if(ve in st){var tn=st[ve];return tn!==null&&qi.getVAO(tn)===null&&(tn=qi.createVAO(tn)),Ft=!0,Bt.vao=tn,kn(function(Oi){var Gi=qi.getVAO(tn);return Gi?Oi.link(Gi):\"null\"})}else if(ve in It){Ft=!0;var Ei=It[ve];return Bn(Ei,function(Oi,Gi){var on=Oi.invoke(Gi,Ei);return Gi.def(Oi.shared.vao+\".getVAO(\"+on+\")\")})}return null}var zt=Ut(),_t=!1;function Dt(){if(Mt in st){var tn=st[Mt];if(Bt.elements=tn,Li(tn)){var Ei=Bt.elements=Or.create(tn,!0);tn=Or.getElements(Ei),_t=!0}else tn&&(tn=Or.getElements(tn),_t=!0);var Oi=kn(function(on,zn){if(tn){var Ja=on.link(tn);return on.ELEMENTS=Ja,Ja}return on.ELEMENTS=null,null});return Oi.value=tn,Oi}else if(Mt in It){_t=!0;var Gi=It[Mt];return Bn(Gi,function(on,zn){var Ja=on.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=on.invoke(zn,Gi),Yo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=on.cond(ms).then(Yo,\"=\",ts,\".createStream(\",so,\");\").else(Yo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(on.cond(ms).then(ts,\".destroyStream(\",Yo,\");\")),on.ELEMENTS=Yo,Yo})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var vt=Dt();function lr(){if(Jt in st){var tn=st[Jt];return Bt.primitive=tn,kn(function(Oi,Gi){return Mn[tn]})}else if(Jt in It){var Ei=It[Jt];return Bn(Ei,function(Oi,Gi){var on=Oi.constants.primTypes,zn=Oi.invoke(Gi,Ei);return Gi.def(on,\"[\",zn,\"]\")})}else{if(_t)return Pn(vt)?vt.value?kn(function(Oi,Gi){return Gi.def(Oi.ELEMENTS,\".primType\")}):kn(function(){return Sl}):new Qr(vt.thisDep,vt.contextDep,vt.propDep,function(Oi,Gi){var on=Oi.ELEMENTS;return Gi.def(on,\"?\",on,\".primType:\",Sl)});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(Oi,Gi){return Gi.def(Oi.shared.vao+\".currentVAO?\"+Oi.shared.vao+\".currentVAO.primitive:\"+Sl)})}return null}function _r(tn,Ei){if(tn in st){var Oi=st[tn]|0;return Ei?Bt.offset=Oi:Bt.instances=Oi,kn(function(on,zn){return Ei&&(on.OFFSET=Oi),Oi})}else if(tn in It){var Gi=It[tn];return Bn(Gi,function(on,zn){var Ja=on.invoke(zn,Gi);return Ei&&(on.OFFSET=Ja),Ja})}else if(Ei){if(_t)return kn(function(on,zn){return on.OFFSET=0,0});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Br=_r(yr,!0);function Di(){if($t in st){var tn=st[$t]|0;return Bt.count=tn,kn(function(){return tn})}else if($t in It){var Ei=It[$t];return Bn(Ei,function(zn,Ja){var co=zn.invoke(Ja,Ei);return co})}else if(_t)if(Pn(vt)){if(vt)return Br?new Qr(Br.thisDep,Br.contextDep,Br.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):kn(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Oi=kn(function(){return-1});return Oi}else{var Gi=new Qr(vt.thisDep||Br.thisDep,vt.contextDep||Br.contextDep,vt.propDep||Br.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Ft){var on=new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return on}return null}var ci=lr(),bi=Di(),gn=_r(Cr,!1);return{elements:vt,primitive:ci,count:bi,instances:gn,offset:Br,vao:zt,vaoActive:Ft,elementsActive:_t,static:Bt}}function El(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return fi.forEach(function(Ft){var Ut=Ji(Ft);function zt(_t,Dt){if(Ft in st){var vt=_t(st[Ft]);Bt[Ut]=kn(function(){return vt})}else if(Ft in It){var lr=It[Ft];Bt[Ut]=Bn(lr,function(_r,Br){return Dt(_r,Br,_r.invoke(Br,lr))})}}switch(Ft){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Va:case rs:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case no:return zt(function(_t){return Wr[_t]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs;return Dt.def(lr,\"[\",vt,\"]\")});case ys:return zt(function(_t){return _t},function(_t,Dt,vt){var lr=Dt.def(\"+\",vt,\"[0]\"),_r=Dt.def(\"+\",vt,\"[1]\");return[lr,_r]});case Ls:return zt(function(_t){var Dt=\"srcRGB\"in _t?_t.srcRGB:_t.src,vt=\"srcAlpha\"in _t?_t.srcAlpha:_t.src,lr=\"dstRGB\"in _t?_t.dstRGB:_t.dst,_r=\"dstAlpha\"in _t?_t.dstAlpha:_t.dst;return[xi[Dt],xi[lr],xi[vt],xi[_r]]},function(_t,Dt,vt){var lr=_t.constants.blendFuncs;function _r(Ei,Oi){var 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Dt=_t.cmp||\"keep\",vt=_t.ref||0,lr=\"mask\"in _t?_t.mask:-1;return[Wr[Dt],vt,lr]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs,_r=Dt.def('\"cmp\" in ',vt,\"?\",lr,\"[\",vt,\".cmp]\",\":\",ot),Br=Dt.def(vt,\".ref|0\"),Di=Dt.def('\"mask\" in ',vt,\"?\",vt,\".mask|0:-1\");return[_r,Br,Di]});case ue:case w:return zt(function(_t){var Dt=_t.fail||\"keep\",vt=_t.zfail||\"keep\",lr=_t.zpass||\"keep\";return[Ft===w?se:X,ii[Dt],ii[vt],ii[lr]]},function(_t,Dt,vt){var lr=_t.constants.stencilOps;function _r(Br){return Dt.def('\"',Br,'\" in ',vt,\"?\",lr,\"[\",vt,\".\",Br,\"]:\",ot)}return[Ft===w?se:X,_r(\"fail\"),_r(\"zfail\"),_r(\"zpass\")]});case xu:return zt(function(_t){var Dt=_t.factor|0,vt=_t.units|0;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def(vt,\".factor|0\"),_r=Dt.def(vt,\".units|0\");return[lr,_r]});case Yu:return zt(function(_t){var Dt=0;return _t===\"front\"?Dt=X:_t===\"back\"&&(Dt=se),Dt},function(_t,Dt,vt){return Dt.def(vt,'===\"front\"?',X,\":\",se)});case pu:return 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Iz,xc=function(t){yVt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=oVt(t),this.shader=UBe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||aVt({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),UBe.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(cVt(t)?t:{})};xc.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(i,a){return[a.atlas.width,a.atlas.height]},atlasDim:function(i,a){return[a.atlas.cols,a.atlas.rows]},atlas:function(i,a){return a.atlas.texture},charStep:function(i,a){return a.atlas.step},em:function(i,a){return a.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tattribute float width, charOffset, char;\n",
+       "\t\t\tattribute vec2 position;\n",
+       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform vec4 color;\n",
+       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n",
+       "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n",
+       "\t\t\t\t\t/ (viewport.zw * scale.xy);\n",
+       "\n",
+       "\t\t\t\tvec2 position = (position + translate) * scale;\n",
+       "\t\t\t\tposition += offset * scale;\n",
+       "\n",
+       "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n",
+       "\n",
+       "\t\t\t\tgl_PointSize = charStep;\n",
+       "\n",
+       "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n",
+       "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n",
+       "\n",
+       "\t\t\t\tcharWidth = width * em;\n",
+       "\n",
+       "\t\t\t\tfontColor = color / 255.;\n",
+       "\t\t\t}`,frag:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tuniform float fontSize, charStep, opacity;\n",
+       "\t\t\tuniform vec2 atlasSize;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform sampler2D atlas;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\n",
+       "\t\t\tfloat lightness(vec4 color) {\n",
+       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
+       "\t\t\t}\n",
+       "\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
+       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
+       "\n",
+       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
+       "\t\t\t\tuv.y = charStep - uv.y;\n",
+       "\n",
+       "\t\t\t\t// ignore points outside of character bounding box\n",
+       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
+       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
+       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
+       "\n",
+       "\t\t\t\tuv += charId * charStep;\n",
+       "\t\t\t\tuv = uv / atlasSize;\n",
+       "\n",
+       "\t\t\t\tvec4 color = fontColor;\n",
+       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
+       "\n",
+       "\t\t\t\tfloat maskY = lightness(mask);\n",
+       "\t\t\t\t// float colorY = lightness(color);\n",
+       "\t\t\t\tcolor.a *= maskY;\n",
+       "\t\t\t\tcolor.a *= opacity;\n",
+       "\n",
+       "\t\t\t\t// color.a += .1;\n",
+       "\n",
+       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
+       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
+       "\n",
+       "\t\t\t\tgl_FragColor = color;\n",
+       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};xc.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=nVt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(Ce){return parseFloat(Ce)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=uVt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=gVt(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!t.font&&(t.font=xc.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(Ce,ge){if(typeof Ce==\"string\")try{Ce=w5.parse(Ce)}catch(He){Ce=w5.parse(xc.baseFontSize+\"px \"+Ce)}else{var ie=Ce.style,Se=Ce.weight,ke=Ce.stretch,be=Ce.variant;Ce=w5.parse(w5.stringify(Ce)),ie&&(Ce.style=ie),Se&&(Ce.weight=Se),ke&&(Ce.stretch=ke),be&&(Ce.variant=be)}var Be=w5.stringify({size:xc.baseFontSize,family:Ce.family,stretch:Rz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style}),Le=fVt(Ce.size),me=Math.round(Le[0]*hVt(Le[1]));if(me!==r.fontSize[ge]&&(i=!0,r.fontSize[ge]=me),(!r.font[ge]||Be!=r.font[ge].baseString)&&(n=!0,r.font[ge]=xc.fonts[Be],!r.font[ge])){var Pe=Ce.family.join(\", \"),ce=[Ce.style];Ce.style!=Ce.variant&&ce.push(Ce.variant),Ce.variant!=Ce.weight&&ce.push(Ce.weight),Rz&&Ce.weight!=Ce.stretch&&ce.push(Ce.stretch),r.font[ge]={baseString:Be,family:Pe,weight:Ce.weight,stretch:Ce.stretch,style:Ce.style,variant:Ce.variant,width:{},kerning:{},metrics:pVt(Pe,{origin:\"top\",fontSize:xc.baseFontSize,fontStyle:ce.join(\" \")})},xc.fonts[Be]=r.font[ge]}}),(n||i)&&this.font.forEach(function(Ce,ge){var ie=w5.stringify({size:r.fontSize[ge],family:Ce.family,stretch:Rz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style});if(r.fontAtlas[ge]=r.shader.atlas[ie],!r.fontAtlas[ge]){var Se=Ce.metrics;r.shader.atlas[ie]=r.fontAtlas[ge]={fontString:ie,step:Math.ceil(r.fontSize[ge]*Se.bottom*.5)*2,em:r.fontSize[ge],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(Ce,ge){xc.atlasContext.font=Ce.baseString;for(var ie=r.fontAtlas[ge],Se=0;Se<r.text.length;Se++){var ke=r.text.charAt(Se);if(ie.ids[ke]==null&&(ie.ids[ke]=ie.chars.length,ie.chars.push(ke),s.push(ke)),Ce.width[ke]==null&&(Ce.width[ke]=xc.atlasContext.measureText(ke).width/xc.baseFontSize,r.kerning)){var be=[];for(var Be in Ce.width)be.push(Be+ke,ke+Be);vVt(Ce.kerning,dVt(Ce.family,{pairs:be}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=Tx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var m=0;m<d;m++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),Tx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=Tx.mallocUint8(this.count),p=Tx.mallocFloat(this.count*2);this.textWidth=[];for(var k=0,M=0;k<this.counts.length;k++){for(var T=this.counts[k],L=this.font[k]||this.font[0],x=this.fontAtlas[k]||this.fontAtlas[0],C=0;C<T;C++){var S=this.text.charAt(M),g=this.text.charAt(M-1);if(b[M]=x.ids[S],p[M*2]=L.width[S],C){var P=p[M*2-2],E=p[M*2],z=p[M*2-1],q=z+P*.5+E*.5;if(this.kerning){var V=L.kerning[g+S];V&&(q+=V*.001)}p[M*2+1]=q}else p[M*2+1]=p[M*2]*.5;M++}this.textWidth.push(p.length?p[M*2-2]*.5+p[M*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:p,type:\"float\",usage:\"stream\"}),Tx.freeUint8(b),Tx.freeFloat(p),s.length&&this.font.forEach(function(Ce,ge){var ie=r.fontAtlas[ge],Se=ie.step,ke=Math.floor(xc.maxAtlasSize/Se),be=Math.min(ke,ie.chars.length),Be=Math.ceil(ie.chars.length/be),Le=NBe(be*Se),me=NBe(Be*Se);ie.width=Le,ie.height=me,ie.rows=Be,ie.cols=be,ie.em&&ie.texture({data:lVt({canvas:xc.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Le,me],step:[Se,Se]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(Ce,ge){var ie=Array.isArray(r.align)?r.align.length>1?r.align[ge]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-Ce;case\"center\":case\"centre\":case\"middle\":return-Ce*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(Ce,ge){var ie=(r.font[ge]||r.font[0]).metrics,Se=0;return Se+=ie.bottom*.5,typeof Ce==\"number\"?Se+=Ce-ie.baseline:Se+=-ie[Ce],Se*=-1,Se})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=_K(t.color,\"uint8\");else{var G;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var Z=t.color.length;G=Tx.mallocUint8(Z);for(var j=(t.color.subarray||t.color.slice).bind(t.color),N=0;N<Z;N+=4)G.set(_K(j(N,N+4),\"uint8\"),N)}else{var H=t.color.length;G=Tx.mallocUint8(H*4);for(var re=0;re<H;re++)G.set(_K(t.color[re]||0,\"uint8\"),re*4)}this.color=G}if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity){var ae=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(ae){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Ee=0;Ee<this.batch.length;Ee++)this.batch[Ee]={count:this.counts.length>1?this.counts[Ee]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Ee]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Ee*4,Ee*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Ee]:this.opacity,baseline:this.baselineOffset[Ee]!=null?this.baselineOffset[Ee]:this.baselineOffset[0],align:this.align?this.alignOffset[Ee]!=null?this.alignOffset[Ee]:this.alignOffset[0]:0,atlas:this.fontAtlas[Ee]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Ee*2,Ee*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}};xc.prototype.destroy=function(){};xc.prototype.kerning=!0;xc.prototype.position={constant:new Float32Array(2)};xc.prototype.translate=null;xc.prototype.scale=null;xc.prototype.font=null;xc.prototype.text=\"\";xc.prototype.positionOffset=[0,0];xc.prototype.opacity=1;xc.prototype.color=new Uint8Array([0,0,0,255]);xc.prototype.alignOffset=[0,0];xc.maxAtlasSize=1024;xc.atlasCanvas=document.createElement(\"canvas\");xc.atlasContext=xc.atlasCanvas.getContext(\"2d\",{alpha:!1});xc.baseFontSize=64;xc.fonts={};function yVt(e){return typeof e==\"function\"&&e._gl&&e.prop&&e.texture&&e.buffer}VBe.exports=xc});var HBe=ye((xK,bK)=>{(function(e,t){typeof xK==\"object\"&&typeof 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si(ne,we){ne.internalformat=we.internalformat,ne.format=we.format,ne.type=we.type,ne.compressed=we.compressed,ne.premultiplyAlpha=we.premultiplyAlpha,ne.flipY=we.flipY,ne.unpackAlignment=we.unpackAlignment,ne.colorSpace=we.colorSpace,ne.width=we.width,ne.height=we.height,ne.channels=we.channels}function mn(ne,we){if(!(typeof we!=\"object\"||!we)){if(\"premultiplyAlpha\"in we&&(ne.premultiplyAlpha=we.premultiplyAlpha),\"flipY\"in we&&(ne.flipY=we.flipY),\"alignment\"in we&&(ne.unpackAlignment=we.alignment),\"colorSpace\"in we&&(ne.colorSpace=Vn[we.colorSpace]),\"type\"in we){var Oe=we.type;ne.type=Qi[Oe]}var ht=ne.width,Yt=ne.height,cr=ne.channels,Nt=!1;\"shape\"in we?(ht=we.shape[0],Yt=we.shape[1],we.shape.length===3&&(cr=we.shape[2],Nt=!0)):(\"radius\"in we&&(ht=Yt=we.radius),\"width\"in we&&(ht=we.width),\"height\"in we&&(Yt=we.height),\"channels\"in we&&(cr=we.channels,Nt=!0)),ne.width=ht|0,ne.height=Yt|0,ne.channels=cr|0;var Ne=!1;if(\"format\"in we){var 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we)&&ne.type===Ns&&(ne.type=Yc(Oe));else if(of(Oe))ne.channels=ne.channels||4,eh(ne,Oe),ne.alignment=1,ne.needsFree=!0;else if(jr(Oe)){var cr=Oe.data;!Array.isArray(cr)&&ne.type===Ns&&(ne.type=Yc(cr));var Nt=Oe.shape,Ne=Oe.stride,$e,st,It,Bt,Ft,Ut;Nt.length===3?(It=Nt[2],Ut=Ne[2]):(It=1,Ut=1),$e=Nt[0],st=Nt[1],Bt=Ne[0],Ft=Ne[1],ne.alignment=1,ne.width=$e,ne.height=st,ne.channels=It,ne.format=ne.internalformat=Hs[It],ne.needsFree=!0,jf(ne,cr,Bt,Ft,Ut,Oe.offset)}else if(Hf(Oe)||Ic(Oe)||yf(Oe))Hf(Oe)||Ic(Oe)?ne.element=Oe:ne.element=Oe.canvas,ne.width=ne.element.width,ne.height=ne.element.height,ne.channels=4;else if(Ol(Oe))ne.element=Oe,ne.width=Oe.width,ne.height=Oe.height,ne.channels=4;else if(Ah(Oe))ne.element=Oe,ne.width=Oe.naturalWidth,ne.height=Oe.naturalHeight,ne.channels=4;else if(Qf(Oe))ne.element=Oe,ne.width=Oe.videoWidth,ne.height=Oe.videoHeight,ne.channels=4;else if(Hu(Oe)){var zt=ne.width||Oe[0].length,_t=ne.height||Oe.length,Dt=ne.channels;En(Oe[0][0])?Dt=Dt||Oe[0][0].length:Dt=Dt||1;for(var vt=Ge.shape(Oe),lr=1,_r=0;_r<vt.length;++_r)lr*=vt[_r];var Br=th(ne,lr);Ge.flatten(Oe,vt,\"\",Br),ju(ne,Br),ne.alignment=1,ne.width=zt,ne.height=_t,ne.channels=Dt,ne.format=ne.internalformat=Hs[Dt],ne.needsFree=!0}ne.type===oa||ne.type}function pn(ne,we,Oe){var ht=ne.element,Yt=ne.data,cr=ne.internalformat,Nt=ne.format,Ne=ne.type,$e=ne.width,st=ne.height;Ji(ne),ht?Me.texImage2D(we,Oe,Nt,Nt,Ne,ht):ne.compressed?Me.compressedTexImage2D(we,Oe,cr,$e,st,0,Yt):ne.needsCopy?(Lr(),Me.copyTexImage2D(we,Oe,Nt,ne.xOffset,ne.yOffset,$e,st,0)):Me.texImage2D(we,Oe,Nt,$e,st,0,Nt,Ne,Yt||null)}function Nn(ne,we,Oe,ht,Yt){var cr=ne.element,Nt=ne.data,Ne=ne.internalformat,$e=ne.format,st=ne.type,It=ne.width,Bt=ne.height;Ji(ne),cr?Me.texSubImage2D(we,Yt,Oe,ht,$e,st,cr):ne.compressed?Me.compressedTexSubImage2D(we,Yt,Oe,ht,Ne,It,Bt,Nt):ne.needsCopy?(Lr(),Me.copyTexSubImage2D(we,Yt,Oe,ht,ne.xOffset,ne.yOffset,It,Bt)):Me.texSubImage2D(we,Yt,Oe,ht,It,Bt,$e,st,Nt)}var aa=[];function Ki(){return aa.pop()||new Ui}function Cn(ne){ne.needsFree&&H.freeType(ne.data),Ui.call(ne),aa.push(ne)}function ia(){fi.call(this),this.genMipmaps=!1,this.mipmapHint=sc,this.mipmask=0,this.images=Array(16)}function sa(ne,we,Oe){var ht=ne.images[0]=Ki();ne.mipmask=1,ht.width=ne.width=we,ht.height=ne.height=Oe,ht.channels=ne.channels=4}function ba(ne,we){var Oe=null;if(_f(we))Oe=ne.images[0]=Ki(),si(Oe,ne),Bi(Oe,we),ne.mipmask=1;else if(mn(ne,we),Array.isArray(we.mipmap))for(var ht=we.mipmap,Yt=0;Yt<ht.length;++Yt)Oe=ne.images[Yt]=Ki(),si(Oe,ne),Oe.width>>=Yt,Oe.height>>=Yt,Bi(Oe,ht[Yt]),ne.mipmask|=1<<Yt;else Oe=ne.images[0]=Ki(),si(Oe,ne),Bi(Oe,we),ne.mipmask=1;si(ne,ne.images[0]),ne.compressed&&(ne.internalformat===Io||ne.internalformat===ls||ne.internalformat===Yl||ne.internalformat)}function is(ne,we){for(var Oe=ne.images,ht=0;ht<Oe.length;++ht){if(!Oe[ht])return;pn(Oe[ht],we,ht)}}var Zs=[];function Ga(){var ne=Zs.pop()||new ia;fi.call(ne),ne.mipmask=0;for(var we=0;we<16;++we)ne.images[we]=null;return ne}function El(ne){for(var we=ne.images,Oe=0;Oe<we.length;++Oe)we[Oe]&&Cn(we[Oe]),we[Oe]=null;Zs.push(ne)}function zo(){this.minFilter=pl,this.magFilter=pl,this.wrapS=Pc,this.wrapT=Pc,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=sc}function Qs(ne,we){if(\"min\"in we){var Oe=we.min;ne.minFilter=Si[Oe],Es.indexOf(ne.minFilter)>=0&&!(\"faces\"in we)&&(ne.genMipmaps=!0)}if(\"mag\"in we){var ht=we.mag;ne.magFilter=qi[ht]}var Yt=ne.wrapS,cr=ne.wrapT;if(\"wrap\"in we){var Nt=we.wrap;typeof Nt==\"string\"?Yt=cr=Ni[Nt]:Array.isArray(Nt)&&(Yt=Ni[Nt[0]],cr=Ni[Nt[1]])}else{if(\"wrapS\"in we){var Ne=we.wrapS;Yt=Ni[Ne]}if(\"wrapT\"in we){var $e=we.wrapT;cr=Ni[$e]}}if(ne.wrapS=Yt,ne.wrapT=cr,\"anisotropic\"in we){var st=we.anisotropic;ne.anisotropic=we.anisotropic}if(\"mipmap\"in we){var It=!1;switch(typeof we.mipmap){case\"string\":ne.mipmapHint=vi[we.mipmap],ne.genMipmaps=!0,It=!0;break;case\"boolean\":It=ne.genMipmaps=we.mipmap;break;case\"object\":ne.genMipmaps=!1,It=!0;break;default:}It&&!(\"min\"in we)&&(ne.minFilter=Jl)}}function nl(ne,we){Me.texParameteri(we,Vf,ne.minFilter),Me.texParameteri(we,nf,ne.magFilter),Me.texParameteri(we,qo,ne.wrapS),Me.texParameteri(we,Oo,ne.wrapT),bt.ext_texture_filter_anisotropic&&Me.texParameteri(we,cs,ne.anisotropic),ne.genMipmaps&&(Me.hint(Cf,ne.mipmapHint),Me.generateMipmap(we))}var Ul=0,ss={},Vs=Ot.maxTextureUnits,Ys=Array(Vs).map(function(){return null});function wa(ne){fi.call(this),this.mipmask=0,this.internalformat=Ma,this.id=Ul++,this.refCount=1,this.target=ne,this.texture=Me.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new zo,Nr.profile&&(this.stats={size:0})}function al(ne){Me.activeTexture(Fu),Me.bindTexture(ne.target,ne.texture)}function io(){var ne=Ys[0];ne?Me.bindTexture(ne.target,ne.texture):Me.bindTexture(_n,null)}function Y(ne){var we=ne.texture,Oe=ne.unit,ht=ne.target;Oe>=0&&(Me.activeTexture(Fu+Oe),Me.bindTexture(ht,null),Ys[Oe]=null),Me.deleteTexture(we),ne.texture=null,ne.params=null,ne.pixels=null,ne.refCount=0,delete ss[ne.id],Or.textureCount--}e(wa.prototype,{bind:function(){var ne=this;ne.bindCount+=1;var we=ne.unit;if(we<0){for(var Oe=0;Oe<Vs;++Oe){var ht=Ys[Oe];if(ht){if(ht.bindCount>0)continue;ht.unit=-1}Ys[Oe]=ne,we=Oe;break}we>=Vs,Nr.profile&&Or.maxTextureUnits<we+1&&(Or.maxTextureUnits=we+1),ne.unit=we,Me.activeTexture(Fu+we),Me.bindTexture(ne.target,ne.texture)}return we},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function D(ne,we){var Oe=new wa(_n);ss[Oe.id]=Oe,Or.textureCount++;function ht(Nt,Ne){var $e=Oe.texInfo;zo.call($e);var st=Ga();return typeof Nt==\"number\"?typeof Ne==\"number\"?sa(st,Nt|0,Ne|0):sa(st,Nt|0,Nt|0):Nt?(Qs($e,Nt),ba(st,Nt)):sa(st,1,1),$e.genMipmaps&&(st.mipmask=(st.width<<1)-1),Oe.mipmask=st.mipmask,si(Oe,st),Oe.internalformat=st.internalformat,ht.width=st.width,ht.height=st.height,al(Oe),is(st,_n),nl($e,_n),io(),El(st),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,st.width,st.height,$e.genMipmaps,!1)),ht.format=yi[Oe.internalformat],ht.type=Ii[Oe.type],ht.mag=ui[$e.magFilter],ht.min=nn[$e.minFilter],ht.wrapS=Zi[$e.wrapS],ht.wrapT=Zi[$e.wrapT],ht}function Yt(Nt,Ne,$e,st){var It=Ne|0,Bt=$e|0,Ft=st|0,Ut=Ki();return si(Ut,Oe),Ut.width=0,Ut.height=0,Bi(Ut,Nt),Ut.width=Ut.width||(Oe.width>>Ft)-It,Ut.height=Ut.height||(Oe.height>>Ft)-Bt,al(Oe),Nn(Ut,_n,It,Bt,Ft),io(),Cn(Ut),ht}function cr(Nt,Ne){var $e=Nt|0,st=Ne|0||$e;if($e===Oe.width&&st===Oe.height)return ht;ht.width=Oe.width=$e,ht.height=Oe.height=st,al(Oe);for(var It=0;Oe.mipmask>>It;++It){var Bt=$e>>It,Ft=st>>It;if(!Bt||!Ft)break;Me.texImage2D(_n,It,Oe.format,Bt,Ft,0,Oe.format,Oe.type,null)}return io(),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,$e,st,!1,!1)),ht}return ht(ne,we),ht.subimage=Yt,ht.resize=cr,ht._reglType=\"texture2d\",ht._texture=Oe,Nr.profile&&(ht.stats=Oe.stats),ht.destroy=function(){Oe.decRef()},ht}function J(ne,we,Oe,ht,Yt,cr){var Nt=new wa(ya);ss[Nt.id]=Nt,Or.cubeCount++;var Ne=new Array(6);function $e(Bt,Ft,Ut,zt,_t,Dt){var vt,lr=Nt.texInfo;for(zo.call(lr),vt=0;vt<6;++vt)Ne[vt]=Ga();if(typeof Bt==\"number\"||!Bt){var _r=Bt|0||1;for(vt=0;vt<6;++vt)sa(Ne[vt],_r,_r)}else if(typeof Bt==\"object\")if(Ft)ba(Ne[0],Bt),ba(Ne[1],Ft),ba(Ne[2],Ut),ba(Ne[3],zt),ba(Ne[4],_t),ba(Ne[5],Dt);else if(Qs(lr,Bt),mn(Nt,Bt),\"faces\"in Bt){var Br=Bt.faces;for(vt=0;vt<6;++vt)si(Ne[vt],Nt),ba(Ne[vt],Br[vt])}else for(vt=0;vt<6;++vt)ba(Ne[vt],Bt);for(si(Nt,Ne[0]),lr.genMipmaps?Nt.mipmask=(Ne[0].width<<1)-1:Nt.mipmask=Ne[0].mipmask,Nt.internalformat=Ne[0].internalformat,$e.width=Ne[0].width,$e.height=Ne[0].height,al(Nt),vt=0;vt<6;++vt)is(Ne[vt],ea+vt);for(nl(lr,ya),io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,lr.genMipmaps,!0)),$e.format=yi[Nt.internalformat],$e.type=Ii[Nt.type],$e.mag=ui[lr.magFilter],$e.min=nn[lr.minFilter],$e.wrapS=Zi[lr.wrapS],$e.wrapT=Zi[lr.wrapT],vt=0;vt<6;++vt)El(Ne[vt]);return $e}function st(Bt,Ft,Ut,zt,_t){var Dt=Ut|0,vt=zt|0,lr=_t|0,_r=Ki();return si(_r,Nt),_r.width=0,_r.height=0,Bi(_r,Ft),_r.width=_r.width||(Nt.width>>lr)-Dt,_r.height=_r.height||(Nt.height>>lr)-vt,al(Nt),Nn(_r,ea+Bt,Dt,vt,lr),io(),Cn(_r),$e}function It(Bt){var Ft=Bt|0;if(Ft!==Nt.width){$e.width=Nt.width=Ft,$e.height=Nt.height=Ft,al(Nt);for(var Ut=0;Ut<6;++Ut)for(var zt=0;Nt.mipmask>>zt;++zt)Me.texImage2D(ea+Ut,zt,Nt.format,Ft>>zt,Ft>>zt,0,Nt.format,Nt.type,null);return io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,!1,!0)),$e}}return $e(ne,we,Oe,ht,Yt,cr),$e.subimage=st,$e.resize=It,$e._reglType=\"textureCube\",$e._texture=Nt,Nr.profile&&($e.stats=Nt.stats),$e.destroy=function(){Nt.decRef()},$e}function O(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;gt(ss).forEach(Y),Or.cubeCount=0,Or.textureCount=0}Nr.profile&&(Or.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}gt(ss).forEach(function(Oe){Oe.texture=Me.createTexture(),Me.bindTexture(Oe.target,Oe.texture);for(var ht=0;ht<32;++ht)if((Oe.mipmask&1<<ht)!==0)if(Oe.target===_n)Me.texImage2D(_n,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);else for(var Yt=0;Yt<6;++Yt)Me.texImage2D(ea+Yt,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);nl(Oe.texInfo,Oe.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:O,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,gs=36194,Wf=33189,Wh=36168,rh=34041,lf=35907,Sh=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[Wf]=2,js[Wh]=1,js[rh]=4,js[lf]=4,js[Sh]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,Ot){return js[Me]*bt*Ot}var Dc=function(Me,bt,Ot,Lr,Vr){var Or={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:Wf,stencil:Wh,\"depth stencil\":rh};bt.ext_srgb&&(Or.srgba=lf),bt.ext_color_buffer_half_float&&(Or.rgba16f=Mu,Or.rgb16f=ih),bt.webgl_color_buffer_float&&(Or.rgba32f=Sh);var Nr=[];Object.keys(Or).forEach(function(Wi){var oi=Or[Wi];Nr[oi]=Wi});var vi=0,Ni={};function qi(Wi){this.id=vi++,this.refCount=1,this.renderbuffer=Wi,this.format=Kc,this.width=0,this.height=0,Vr.profile&&(this.stats={size:0})}qi.prototype.decRef=function(){--this.refCount<=0&&Si(this)};function Si(Wi){var oi=Wi.renderbuffer;Me.bindRenderbuffer(Bl,null),Me.deleteRenderbuffer(oi),Wi.renderbuffer=null,Wi.refCount=0,delete Ni[Wi.id],Lr.renderbufferCount--}function Vn(Wi,oi){var Tr=new qi(Me.createRenderbuffer());Ni[Tr.id]=Tr,Lr.renderbufferCount++;function Zr(Ii,ui){var nn=0,Zi=0,qn=Kc;if(typeof Ii==\"object\"&&Ii){var fi=Ii;if(\"shape\"in fi){var si=fi.shape;nn=si[0]|0,Zi=si[1]|0}else\"radius\"in fi&&(nn=Zi=fi.radius|0),\"width\"in fi&&(nn=fi.width|0),\"height\"in fi&&(Zi=fi.height|0);\"format\"in fi&&(qn=Or[fi.format])}else typeof Ii==\"number\"?(nn=Ii|0,typeof ui==\"number\"?Zi=ui|0:Zi=nn):Ii||(nn=Zi=1);if(!(nn===Tr.width&&Zi===Tr.height&&qn===Tr.format))return Zr.width=Tr.width=nn,Zr.height=Tr.height=Zi,Tr.format=qn,Me.bindRenderbuffer(Bl,Tr.renderbuffer),Me.renderbufferStorage(Bl,qn,nn,Zi),Vr.profile&&(Tr.stats.size=Eu(Tr.format,Tr.width,Tr.height)),Zr.format=Nr[Tr.format],Zr}function yi(Ii,ui){var nn=Ii|0,Zi=ui|0||nn;return nn===Tr.width&&Zi===Tr.height||(Zr.width=Tr.width=nn,Zr.height=Tr.height=Zi,Me.bindRenderbuffer(Bl,Tr.renderbuffer),Me.renderbufferStorage(Bl,Tr.format,nn,Zi),Vr.profile&&(Tr.stats.size=Eu(Tr.format,Tr.width,Tr.height))),Zr}return Zr(Wi,oi),Zr.resize=yi,Zr._reglType=\"renderbuffer\",Zr._renderbuffer=Tr,Vr.profile&&(Zr.stats=Tr.stats),Zr.destroy=function(){Tr.decRef()},Zr}Vr.profile&&(Lr.getTotalRenderbufferSize=function(){var Wi=0;return Object.keys(Ni).forEach(function(oi){Wi+=Ni[oi].stats.size}),Wi});function Qi(){gt(Ni).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Bl,Wi.renderbuffer),Me.renderbufferStorage(Bl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Bl,null)}return{create:Vn,clear:function(){gt(Ni).forEach(Si)},restore:Qi}},ks=36160,bc=36161,hu=3553,_u=34069,il=36064,nh=36096,Mh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,qu=6408,bf=[];bf[qu]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function uf(Me,bt,Ot,Lr,Vr,Or){var Nr={cur:null,next:null,dirty:!1,setFBO:null},vi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ni.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Si(Ui,Bi,pn){this.target=Ui,this.texture=Bi,this.renderbuffer=pn;var Nn=0,aa=0;Bi?(Nn=Bi.width,aa=Bi.height):pn&&(Nn=pn.width,aa=pn.height),this.width=Nn,this.height=aa}function Vn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,pn){if(Ui)if(Ui.texture){var Nn=Ui.texture._texture,aa=Math.max(1,Nn.width),Ki=Math.max(1,Nn.height);Nn.refCount+=1}else{var Cn=Ui.renderbuffer._renderbuffer;Cn.refCount+=1}}function Wi(Ui,Bi){Bi&&(Bi.texture?Me.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function oi(Ui){var Bi=hu,pn=null,Nn=null,aa=Ui;typeof Ui==\"object\"&&(aa=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Ki=aa._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=aa:Ki===\"renderbuffer\"&&(Nn=aa,Bi=bc),new Si(Bi,pn,Nn)}function Tr(Ui,Bi,pn,Nn,aa){if(pn){var Ki=Lr.create2D({width:Ui,height:Bi,format:Nn,type:aa});return Ki._texture.refCount=0,new Si(hu,Ki,null)}else{var Cn=Vr.create({width:Ui,height:Bi,format:Nn});return Cn._renderbuffer.refCount=0,new Si(bc,null,Cn)}}function Zr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function yi(Ui,Bi,pn){Ui&&(Ui.texture?Ui.texture.resize(Bi,pn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,pn),Ui.width=Bi,Ui.height=pn)}var Ii=0,ui={};function nn(){this.id=Ii++,ui[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Ui){Ui.colorAttachments.forEach(Vn),Vn(Ui.depthAttachment),Vn(Ui.stencilAttachment),Vn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Me.deleteFramebuffer(Bi),Ui.framebuffer=null,Or.framebufferCount--,delete ui[Ui.id]}function fi(Ui){var Bi;Me.bindFramebuffer(ks,Ui.framebuffer);var pn=Ui.colorAttachments;for(Bi=0;Bi<pn.length;++Bi)Wi(il+Bi,pn[Bi]);for(Bi=pn.length;Bi<Ot.maxColorAttachments;++Bi)Me.framebufferTexture2D(ks,il+Bi,hu,null,0);Me.framebufferTexture2D(ks,zu,hu,null,0),Me.framebufferTexture2D(ks,nh,hu,null,0),Me.framebufferTexture2D(ks,Mh,hu,null,0),Wi(nh,Ui.depthAttachment),Wi(Mh,Ui.stencilAttachment),Wi(zu,Ui.depthStencilAttachment);var Nn=Me.checkFramebufferStatus(ks);Me.isContextLost(),Me.bindFramebuffer(ks,Nr.next?Nr.next.framebuffer:null),Nr.cur=Nr.next,Me.getError()}function si(Ui,Bi){var pn=new nn;Or.framebufferCount++;function Nn(Ki,Cn){var ia,sa=0,ba=0,is=!0,Zs=!0,Ga=null,El=!0,zo=\"rgba\",Qs=\"uint8\",nl=1,Ul=null,ss=null,Vs=null,Ys=!1;if(typeof Ki==\"number\")sa=Ki|0,ba=Cn|0||sa;else if(!Ki)sa=ba=1;else{var wa=Ki;if(\"shape\"in wa){var al=wa.shape;sa=al[0],ba=al[1]}else\"radius\"in wa&&(sa=ba=wa.radius),\"width\"in wa&&(sa=wa.width),\"height\"in wa&&(ba=wa.height);(\"color\"in wa||\"colors\"in wa)&&(Ga=wa.color||wa.colors,Array.isArray(Ga)),Ga||(\"colorCount\"in wa&&(nl=wa.colorCount|0),\"colorTexture\"in wa&&(El=!!wa.colorTexture,zo=\"rgba4\"),\"colorType\"in wa&&(Qs=wa.colorType,El||(Qs===\"half float\"||Qs===\"float16\"?zo=\"rgba16f\":(Qs===\"float\"||Qs===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in wa&&(zo=wa.colorFormat,vi.indexOf(zo)>=0?El=!0:Ni.indexOf(zo)>=0&&(El=!1))),(\"depthTexture\"in wa||\"depthStencilTexture\"in wa)&&(Ys=!!(wa.depthTexture||wa.depthStencilTexture)),\"depth\"in wa&&(typeof wa.depth==\"boolean\"?is=wa.depth:(Ul=wa.depth,Zs=!1)),\"stencil\"in wa&&(typeof wa.stencil==\"boolean\"?Zs=wa.stencil:(ss=wa.stencil,is=!1)),\"depthStencil\"in wa&&(typeof wa.depthStencil==\"boolean\"?is=Zs=wa.depthStencil:(Vs=wa.depthStencil,is=!1,Zs=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Ga))io=Ga.map(oi);else if(Ga)io=[oi(Ga)];else for(io=new Array(nl),ia=0;ia<nl;++ia)io[ia]=Tr(sa,ba,El,zo,Qs);sa=sa||io[0].width,ba=ba||io[0].height,Ul?Y=oi(Ul):is&&!Zs&&(Y=Tr(sa,ba,Ys,\"depth\",\"uint32\")),ss?D=oi(ss):Zs&&!is&&(D=Tr(sa,ba,!1,\"stencil\",\"uint8\")),Vs?J=oi(Vs):!Ul&&!ss&&Zs&&is&&(J=Tr(sa,ba,Ys,\"depth stencil\",\"depth stencil\"));var O=null;for(ia=0;ia<io.length;++ia)if(Qi(io[ia],sa,ba),io[ia]&&io[ia].texture){var K=bf[io[ia].texture._texture.format]*jl[io[ia].texture._texture.type];O===null&&(O=K)}return Qi(Y,sa,ba),Qi(D,sa,ba),Qi(J,sa,ba),Zi(pn),pn.width=sa,pn.height=ba,pn.colorAttachments=io,pn.depthAttachment=Y,pn.stencilAttachment=D,pn.depthStencilAttachment=J,Nn.color=io.map(Zr),Nn.depth=Zr(Y),Nn.stencil=Zr(D),Nn.depthStencil=Zr(J),Nn.width=pn.width,Nn.height=pn.height,fi(pn),Nn}function aa(Ki,Cn){var ia=Math.max(Ki|0,1),sa=Math.max(Cn|0||ia,1);if(ia===pn.width&&sa===pn.height)return Nn;for(var ba=pn.colorAttachments,is=0;is<ba.length;++is)yi(ba[is],ia,sa);return yi(pn.depthAttachment,ia,sa),yi(pn.stencilAttachment,ia,sa),yi(pn.depthStencilAttachment,ia,sa),pn.width=Nn.width=ia,pn.height=Nn.height=sa,fi(pn),Nn}return Nn(Ui,Bi),e(Nn,{resize:aa,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){qn(pn),Zi(pn)},use:function(Ki){Nr.setFBO({framebuffer:Nn},Ki)}})}function mn(Ui){var Bi=Array(6);function pn(aa){var Ki,Cn={color:null},ia=0,sa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof aa==\"number\")ia=aa|0;else if(!aa)ia=1;else{var Ga=aa;if(\"shape\"in Ga){var El=Ga.shape;ia=El[0]}else\"radius\"in Ga&&(ia=Ga.radius|0),\"width\"in Ga?(ia=Ga.width|0,\"height\"in Ga):\"height\"in Ga&&(ia=Ga.height|0);(\"color\"in Ga||\"colors\"in Ga)&&(sa=Ga.color||Ga.colors,Array.isArray(sa)),sa||(\"colorCount\"in Ga&&(Zs=Ga.colorCount|0),\"colorType\"in Ga&&(is=Ga.colorType),\"colorFormat\"in Ga&&(ba=Ga.colorFormat)),\"depth\"in Ga&&(Cn.depth=Ga.depth),\"stencil\"in Ga&&(Cn.stencil=Ga.stencil),\"depthStencil\"in Ga&&(Cn.depthStencil=Ga.depthStencil)}var zo;if(sa)if(Array.isArray(sa))for(zo=[],Ki=0;Ki<sa.length;++Ki)zo[Ki]=sa[Ki];else zo=[sa];else{zo=Array(Zs);var Qs={radius:ia,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Lr.createCube(Qs)}for(Cn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var nl=zo[Ki];ia=ia||nl.width,Cn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Ul=0;Ul<zo.length;++Ul)Cn.color[Ul].target=_u+Ki;Ki>0&&(Cn.depth=Bi[0].depth,Cn.stencil=Bi[0].stencil,Cn.depthStencil=Bi[0].depthStencil),Bi[Ki]?Bi[Ki](Cn):Bi[Ki]=si(Cn)}return e(pn,{width:ia,height:ia,color:zo})}function Nn(aa){var Ki,Cn=aa|0;if(Cn===pn.width)return pn;var ia=pn.color;for(Ki=0;Ki<ia.length;++Ki)ia[Ki].resize(Cn);for(Ki=0;Ki<6;++Ki)Bi[Ki].resize(Cn);return pn.width=pn.height=Cn,pn}return pn(Ui),e(pn,{faces:Bi,resize:Nn,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(aa){aa.destroy()})}})}function Ji(){Nr.cur=null,Nr.next=null,Nr.dirty=!0,gt(ui).forEach(function(Ui){Ui.framebuffer=Me.createFramebuffer(),fi(Ui)})}return e(Nr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:si,createCube:mn,clear:function(){gt(ui).forEach(qn)},restore:Ji})}var Xh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Xh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,Ot,Lr,Vr,Or,Nr){for(var vi=Ot.maxAttributes,Ni=new Array(vi),qi=0;qi<vi;++qi)Ni[qi]=new du;var Si=0,Vn={},Qi={Record:du,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:oi()?Zi:function(){},createVAO:qn,getVAO:Zr,destroyBuffer:Wi,setVAO:oi()?yi:Ii,clear:oi()?ui:function(){}};function Wi(fi){for(var si=0;si<Ni.length;++si){var mn=Ni[si];mn.buffer===fi&&(Me.disableVertexAttribArray(si),mn.buffer=null)}}function oi(){return bt.oes_vertex_array_object}function Tr(){return bt.angle_instanced_arrays}function Zr(fi){return typeof fi==\"function\"&&fi._vao?fi._vao:null}function yi(fi){if(fi!==Qi.currentVAO){var si=oi();fi?si.bindVertexArrayOES(fi.vao):si.bindVertexArrayOES(null),Qi.currentVAO=fi}}function Ii(fi){if(fi!==Qi.currentVAO){if(fi)fi.bindAttrs();else{for(var si=Tr(),mn=0;mn<Ni.length;++mn){var Ji=Ni[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),si&&Ji.divisor&&si.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Nr.elements?Me.bindBuffer(Cs,Nr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}Qi.currentVAO=fi}}function ui(){gt(Vn).forEach(function(fi){fi.destroy()})}function nn(){this.id=++Si,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var fi=oi();fi?this.vao=fi.createVertexArrayOES():this.vao=null,Vn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var fi=Tr(),si=this.attributes,mn=0;mn<si.length;++mn){var Ji=si[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),fi&&Ji.divisor&&fi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Ui=si.length;Ui<vi;++Ui)Me.disableVertexAttribArray(Ui);var Bi=Or.getElements(this.elements);Bi?Me.bindBuffer(Cs,Bi.buffer.buffer):Me.bindBuffer(Cs,null)},nn.prototype.refresh=function(){var fi=oi();fi&&(fi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,fi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var fi=oi();this===Qi.currentVAO&&(Qi.currentVAO=null,fi.bindVertexArrayOES(null)),fi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Vn[this.id]&&(delete Vn[this.id],Lr.vaoCount-=1)};function Zi(){var fi=oi();fi&&gt(Vn).forEach(function(si){si.refresh()})}function qn(fi){var si=new nn;Lr.vaoCount+=1;function mn(Ji){var Ui;if(Array.isArray(Ji))Ui=Ji,si.elements&&si.ownsElements&&si.elements.destroy(),si.elements=null,si.ownsElements=!1,si.offset=0,si.count=0,si.instances=-1,si.primitive=4;else{if(Ji.elements){var Bi=Ji.elements;si.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(si.elements.destroy(),si.ownsElements=!1):(si.elements(Bi),si.ownsElements=!1):Or.getElements(Ji.elements)?(si.elements=Ji.elements,si.ownsElements=!1):(si.elements=Or.create(Ji.elements),si.ownsElements=!0)}else si.elements=null,si.ownsElements=!1;Ui=Ji.attributes,si.offset=0,si.count=-1,si.instances=-1,si.primitive=4,si.elements&&(si.count=si.elements._elements.vertCount,si.primitive=si.elements._elements.primType),\"offset\"in Ji&&(si.offset=Ji.offset|0),\"count\"in Ji&&(si.count=Ji.count|0),\"instances\"in Ji&&(si.instances=Ji.instances|0),\"primitive\"in Ji&&(si.primitive=Mn[Ji.primitive])}var pn={},Nn=si.attributes;Nn.length=Ui.length;for(var aa=0;aa<Ui.length;++aa){var Ki=Ui[aa],Cn=Nn[aa]=new du,ia=Ki.data||Ki;if(Array.isArray(ia)||qr(ia)||jr(ia)){var sa;si.buffers[aa]&&(sa=si.buffers[aa],qr(ia)&&sa._buffer.byteLength>=ia.byteLength?sa.subdata(ia):(sa.destroy(),si.buffers[aa]=null)),si.buffers[aa]||(sa=si.buffers[aa]=Vr.create(Ki,If,!1,!0)),Cn.buffer=Vr.getBuffer(sa),Cn.size=Cn.buffer.dimension|0,Cn.normalized=!1,Cn.type=Cn.buffer.dtype,Cn.offset=0,Cn.stride=0,Cn.divisor=0,Cn.state=1,pn[aa]=1}else Vr.getBuffer(Ki)?(Cn.buffer=Vr.getBuffer(Ki),Cn.size=Cn.buffer.dimension|0,Cn.normalized=!1,Cn.type=Cn.buffer.dtype,Cn.offset=0,Cn.stride=0,Cn.divisor=0,Cn.state=1):Vr.getBuffer(Ki.buffer)?(Cn.buffer=Vr.getBuffer(Ki.buffer),Cn.size=(+Ki.size||Cn.buffer.dimension)|0,Cn.normalized=!!Ki.normalized||!1,\"type\"in Ki?Cn.type=un[Ki.type]:Cn.type=Cn.buffer.dtype,Cn.offset=(Ki.offset||0)|0,Cn.stride=(Ki.stride||0)|0,Cn.divisor=(Ki.divisor||0)|0,Cn.state=1):\"x\"in Ki&&(Cn.x=+Ki.x||0,Cn.y=+Ki.y||0,Cn.z=+Ki.z||0,Cn.w=+Ki.w||0,Cn.state=2)}for(var ba=0;ba<si.buffers.length;++ba)!pn[ba]&&si.buffers[ba]&&(si.buffers[ba].destroy(),si.buffers[ba]=null);return si.refresh(),mn}return mn.destroy=function(){for(var Ji=0;Ji<si.buffers.length;++Ji)si.buffers[Ji]&&si.buffers[Ji].destroy();si.buffers.length=0,si.ownsElements&&(si.elements.destroy(),si.elements=null,si.ownsElements=!1),si.destroy()},mn._vao=si,mn._reglType=\"vao\",mn(fi)}return Qi}var Xf=35632,Us=35633,wf=35718,zc=35721;function Wu(Me,bt,Ot,Lr){var Vr={},Or={};function Nr(Tr,Zr,yi,Ii){this.name=Tr,this.id=Zr,this.location=yi,this.info=Ii}function vi(Tr,Zr){for(var yi=0;yi<Tr.length;++yi)if(Tr[yi].id===Zr.id){Tr[yi].location=Zr.location;return}Tr.push(Zr)}function Ni(Tr,Zr,yi){var Ii=Tr===Xf?Vr:Or,ui=Ii[Zr];if(!ui){var nn=bt.str(Zr);ui=Me.createShader(Tr),Me.shaderSource(ui,nn),Me.compileShader(ui),Ii[Zr]=ui}return ui}var qi={},Si=[],Vn=0;function Qi(Tr,Zr){this.id=Vn++,this.fragId=Tr,this.vertId=Zr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Lr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Tr,Zr,yi){var Ii,ui,nn=Ni(Xf,Tr.fragId),Zi=Ni(Us,Tr.vertId),qn=Tr.program=Me.createProgram();if(Me.attachShader(qn,nn),Me.attachShader(qn,Zi),yi)for(Ii=0;Ii<yi.length;++Ii){var fi=yi[Ii];Me.bindAttribLocation(qn,fi[0],fi[1])}Me.linkProgram(qn);var si=Me.getProgramParameter(qn,wf);Lr.profile&&(Tr.stats.uniformsCount=si);var mn=Tr.uniforms;for(Ii=0;Ii<si;++Ii)if(ui=Me.getActiveUniform(qn,Ii),ui)if(ui.size>1)for(var Ji=0;Ji<ui.size;++Ji){var Ui=ui.name.replace(\"[0]\",\"[\"+Ji+\"]\");vi(mn,new Nr(Ui,bt.id(Ui),Me.getUniformLocation(qn,Ui),ui))}else vi(mn,new Nr(ui.name,bt.id(ui.name),Me.getUniformLocation(qn,ui.name),ui));var Bi=Me.getProgramParameter(qn,zc);Lr.profile&&(Tr.stats.attributesCount=Bi);var pn=Tr.attributes;for(Ii=0;Ii<Bi;++Ii)ui=Me.getActiveAttrib(qn,Ii),ui&&vi(pn,new Nr(ui.name,bt.id(ui.name),Me.getAttribLocation(qn,ui.name),ui))}Lr.profile&&(Ot.getMaxUniformsCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.uniformsCount>Tr&&(Tr=Zr.stats.uniformsCount)}),Tr},Ot.getMaxAttributesCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.attributesCount>Tr&&(Tr=Zr.stats.attributesCount)}),Tr});function oi(){Vr={},Or={};for(var Tr=0;Tr<Si.length;++Tr)Wi(Si[Tr],null,Si[Tr].attributes.map(function(Zr){return[Zr.location,Zr.name]}))}return{clear:function(){var Tr=Me.deleteShader.bind(Me);gt(Vr).forEach(Tr),Vr={},gt(Or).forEach(Tr),Or={},Si.forEach(function(Zr){Me.deleteProgram(Zr.program)}),Si.length=0,qi={},Ot.shaderCount=0},program:function(Tr,Zr,yi,Ii){var ui=qi[Zr];ui||(ui=qi[Zr]={});var nn=ui[Tr];if(nn&&(nn.refCount++,!Ii))return nn;var Zi=new Qi(Zr,Tr);return Ot.shaderCount++,Wi(Zi,yi,Ii),nn||(ui[Tr]=Zi),Si.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var qn=Si.indexOf(Zi);Si.splice(qn,1),Ot.shaderCount--}ui[Zi.vertId].refCount<=0&&(Me.deleteShader(Or[Zi.vertId]),delete Or[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(Vr[Zi.fragId]),delete Vr[Zi.fragId],delete qi[Zi.fragId])}})},restore:oi,shader:Ni,frag:-1,vert:-1}}var Rf=6408,Xu=5121,cf=3333,Zf=5126;function Wl(Me,bt,Ot,Lr,Vr,Or,Nr){function vi(Si){var Vn;bt.next===null?Vn=Xu:Vn=bt.next.colorAttachments[0].texture._texture.type;var 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bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",Ot=\"\",Lr,Vr=0;Vr<Me.length;Vr++)Lr=Me.charCodeAt(Vr),Ot+=bt.charAt(Lr>>>4&15)+bt.charAt(Lr&15);return Ot}function Oc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Ot=\"\",Lr=Me.length,Vr=0;Vr<Lr;Vr+=3)for(var Or=Me.charCodeAt(Vr)<<16|(Vr+1<Lr?Me.charCodeAt(Vr+1)<<8:0)|(Vr+2<Lr?Me.charCodeAt(Vr+2):0),Nr=0;Nr<4;Nr++)Vr*8+Nr*6>Me.length*8?Ot+=Zu:Ot+=bt.charAt(Or>>>6*(3-Nr)&63);return Ot}function ff(Me,bt){var Ot=bt.length,Lr=Array(),Vr,Or,Nr,vi,Ni=Array(Math.ceil(Me.length/2));for(Vr=0;Vr<Ni.length;Vr++)Ni[Vr]=Me.charCodeAt(Vr*2)<<8|Me.charCodeAt(Vr*2+1);for(;Ni.length>0;){for(vi=Array(),Nr=0,Vr=0;Vr<Ni.length;Vr++)Nr=(Nr<<16)+Ni[Vr],Or=Math.floor(Nr/Ot),Nr-=Or*Ot,(vi.length>0||Or>0)&&(vi[vi.length]=Or);Lr[Lr.length]=Nr,Ni=vi}var qi=\"\";for(Vr=Lr.length-1;Vr>=0;Vr--)qi+=bt.charAt(Lr[Vr]);var Si=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(Vr=qi.length;Vr<Si;Vr++)qi=bt[0]+qi;return 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st[Ze]==\"string\";if(It){if(Object.keys($e.dynamic).length>0)return null;var Bt=$e.static,Ft=Object.keys(Bt);if(Ft.length>0&&typeof Bt[Ft[0]]==\"number\"){for(var Ut=[],zt=0;zt<Ft.length;++zt)Ut.push([Bt[Ft[zt]]|0,Ft[zt]]);return Ut}}return null}function Zs(Ne,$e,st){var It=Ne.static,Bt=Ne.dynamic;function Ft(vt){if(vt in It){var lr=bt.id(It[vt]),_r=kn(function(){return lr});return _r.id=lr,_r}else if(vt in Bt){var Br=Bt[vt];return Bn(Br,function(Di,ci){var bi=Di.invoke(ci,Br),gn=ci.def(Di.shared.strings,\".id(\",bi,\")\");return gn})}return null}var Ut=Ft(ut),zt=Ft(Ze),_t=null,Dt;return Pn(Ut)&&Pn(zt)?(_t=Si.program(zt.id,Ut.id,null,st),Dt=kn(function(vt,lr){return vt.link(_t)})):Dt=new Qr(Ut&&Ut.thisDep||zt&&zt.thisDep,Ut&&Ut.contextDep||zt&&zt.contextDep,Ut&&Ut.propDep||zt&&zt.propDep,function(vt,lr){var _r=vt.shared.shader,Br;Ut?Br=Ut.append(vt,lr):Br=lr.def(_r,\".\",ut);var Di;zt?Di=zt.append(vt,lr):Di=lr.def(_r,\".\",Ze);var ci=_r+\".program(\"+Di+\",\"+Br;return 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Ja=on.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=on.invoke(zn,Gi),Yo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=on.cond(ms).then(Yo,\"=\",ts,\".createStream(\",so,\");\").else(Yo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(on.cond(ms).then(ts,\".destroyStream(\",Yo,\");\")),on.ELEMENTS=Yo,Yo})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var vt=Dt();function lr(){if(Jt in st){var tn=st[Jt];return Bt.primitive=tn,kn(function(Oi,Gi){return Mn[tn]})}else if(Jt in It){var Ei=It[Jt];return Bn(Ei,function(Oi,Gi){var on=Oi.constants.primTypes,zn=Oi.invoke(Gi,Ei);return Gi.def(on,\"[\",zn,\"]\")})}else{if(_t)return Pn(vt)?vt.value?kn(function(Oi,Gi){return Gi.def(Oi.ELEMENTS,\".primType\")}):kn(function(){return Sl}):new Qr(vt.thisDep,vt.contextDep,vt.propDep,function(Oi,Gi){var on=Oi.ELEMENTS;return Gi.def(on,\"?\",on,\".primType:\",Sl)});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(Oi,Gi){return Gi.def(Oi.shared.vao+\".currentVAO?\"+Oi.shared.vao+\".currentVAO.primitive:\"+Sl)})}return null}function _r(tn,Ei){if(tn in st){var Oi=st[tn]|0;return Ei?Bt.offset=Oi:Bt.instances=Oi,kn(function(on,zn){return Ei&&(on.OFFSET=Oi),Oi})}else if(tn in It){var Gi=It[tn];return Bn(Gi,function(on,zn){var Ja=on.invoke(zn,Gi);return Ei&&(on.OFFSET=Ja),Ja})}else if(Ei){if(_t)return kn(function(on,zn){return on.OFFSET=0,0});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Br=_r(yr,!0);function Di(){if($t in st){var tn=st[$t]|0;return Bt.count=tn,kn(function(){return tn})}else if($t in It){var Ei=It[$t];return Bn(Ei,function(zn,Ja){var co=zn.invoke(Ja,Ei);return co})}else if(_t)if(Pn(vt)){if(vt)return Br?new Qr(Br.thisDep,Br.contextDep,Br.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):kn(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Oi=kn(function(){return-1});return Oi}else{var Gi=new Qr(vt.thisDep||Br.thisDep,vt.contextDep||Br.contextDep,vt.propDep||Br.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Ft){var on=new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return on}return null}var ci=lr(),bi=Di(),gn=_r(Cr,!1);return{elements:vt,primitive:ci,count:bi,instances:gn,offset:Br,vao:zt,vaoActive:Ft,elementsActive:_t,static:Bt}}function El(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return fi.forEach(function(Ft){var Ut=Ji(Ft);function zt(_t,Dt){if(Ft in st){var vt=_t(st[Ft]);Bt[Ut]=kn(function(){return vt})}else if(Ft in It){var lr=It[Ft];Bt[Ut]=Bn(lr,function(_r,Br){return Dt(_r,Br,_r.invoke(Br,lr))})}}switch(Ft){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Va:case rs:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case no:return zt(function(_t){return Wr[_t]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs;return Dt.def(lr,\"[\",vt,\"]\")});case ys:return zt(function(_t){return _t},function(_t,Dt,vt){var lr=Dt.def(\"+\",vt,\"[0]\"),_r=Dt.def(\"+\",vt,\"[1]\");return[lr,_r]});case Ls:return zt(function(_t){var Dt=\"srcRGB\"in _t?_t.srcRGB:_t.src,vt=\"srcAlpha\"in _t?_t.srcAlpha:_t.src,lr=\"dstRGB\"in _t?_t.dstRGB:_t.dst,_r=\"dstAlpha\"in _t?_t.dstAlpha:_t.dst;return[xi[Dt],xi[lr],xi[vt],xi[_r]]},function(_t,Dt,vt){var lr=_t.constants.blendFuncs;function _r(Ei,Oi){var Gi=Dt.def('\"',Ei,Oi,'\" in ',vt,\"?\",vt,\".\",Ei,Oi,\":\",vt,\".\",Ei);return Gi}var Br=_r(\"src\",\"RGB\"),Di=_r(\"dst\",\"RGB\"),ci=Dt.def(lr,\"[\",Br,\"]\"),bi=Dt.def(lr,\"[\",_r(\"src\",\"Alpha\"),\"]\"),gn=Dt.def(lr,\"[\",Di,\"]\"),tn=Dt.def(lr,\"[\",_r(\"dst\",\"Alpha\"),\"]\");return[ci,gn,bi,tn]});case Ws:return zt(function(_t){if(typeof _t==\"string\")return[yi[_t],yi[_t]];if(typeof _t==\"object\")return[yi[_t.rgb],yi[_t.alpha]]},function(_t,Dt,vt){var lr=_t.constants.blendEquations,_r=Dt.def(),Br=Dt.def(),Di=_t.cond(\"typeof \",vt,'===\"string\"');return Di.then(_r,\"=\",Br,\"=\",lr,\"[\",vt,\"];\"),Di.else(_r,\"=\",lr,\"[\",vt,\".rgb];\",Br,\"=\",lr,\"[\",vt,\".alpha];\"),Dt(Di),[_r,Br]});case ml:return zt(function(_t){return S(4,function(Dt){return+_t[Dt]})},function(_t,Dt,vt){return S(4,function(lr){return Dt.def(\"+\",vt,\"[\",lr,\"]\")})});case hc:return zt(function(_t){return _t|0},function(_t,Dt,vt){return Dt.def(vt,\"|0\")});case Ku:return zt(function(_t){var Dt=_t.cmp||\"keep\",vt=_t.ref||0,lr=\"mask\"in _t?_t.mask:-1;return[Wr[Dt],vt,lr]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs,_r=Dt.def('\"cmp\" in ',vt,\"?\",lr,\"[\",vt,\".cmp]\",\":\",ot),Br=Dt.def(vt,\".ref|0\"),Di=Dt.def('\"mask\" in ',vt,\"?\",vt,\".mask|0:-1\");return[_r,Br,Di]});case ue:case w:return zt(function(_t){var Dt=_t.fail||\"keep\",vt=_t.zfail||\"keep\",lr=_t.zpass||\"keep\";return[Ft===w?se:X,ii[Dt],ii[vt],ii[lr]]},function(_t,Dt,vt){var lr=_t.constants.stencilOps;function _r(Br){return Dt.def('\"',Br,'\" in ',vt,\"?\",lr,\"[\",vt,\".\",Br,\"]:\",ot)}return[Ft===w?se:X,_r(\"fail\"),_r(\"zfail\"),_r(\"zpass\")]});case xu:return zt(function(_t){var Dt=_t.factor|0,vt=_t.units|0;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def(vt,\".factor|0\"),_r=Dt.def(vt,\".units|0\");return[lr,_r]});case Yu:return zt(function(_t){var Dt=0;return _t===\"front\"?Dt=X:_t===\"back\"&&(Dt=se),Dt},function(_t,Dt,vt){return Dt.def(vt,'===\"front\"?',X,\":\",se)});case pu:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case Nc:return zt(function(_t){return di[_t]},function(_t,Dt,vt){return Dt.def(vt+'===\"cw\"?'+Te+\":\"+qe)});case Ql:return zt(function(_t){return _t.map(function(Dt){return!!Dt})},function(_t,Dt,vt){return S(4,function(lr){return\"!!\"+vt+\"[\"+lr+\"]\"})});case oo:return zt(function(_t){var Dt=\"value\"in _t?_t.value:1,vt=!!_t.invert;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def('\"value\" in ',vt,\"?+\",vt,\".value:1\"),_r=Dt.def(\"!!\",vt,\".invert\");return[lr,_r]})}}),Bt}function zo(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return Object.keys(st).forEach(function(Ft){var Ut=st[Ft],zt;if(typeof Ut==\"number\"||typeof Ut==\"boolean\")zt=kn(function(){return Ut});else if(typeof Ut==\"function\"){var _t=Ut._reglType;_t===\"texture2d\"||_t===\"textureCube\"?zt=kn(function(Dt){return Dt.link(Ut)}):(_t===\"framebuffer\"||_t===\"framebufferCube\")&&(zt=kn(function(Dt){return Dt.link(Ut.color[0])}))}else 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bi=Ut.divisor|0;_t.buffer=Dt,_t.state=La,_t.size=Br,_t.normalized=Di,_t.type=ci||Dt.dtype,_t.offset=lr,_t.stride=_r,_t.divisor=bi}}Bt[Ft]=kn(function(gn,tn){var Ei=gn.attribCache;if(zt in Ei)return Ei[zt];var Oi={isStream:!1};return Object.keys(_t).forEach(function(Gi){Oi[Gi]=_t[Gi]}),_t.buffer&&(Oi.buffer=gn.link(_t.buffer),Oi.type=Oi.type||Oi.buffer+\".dtype\"),Ei[zt]=Oi,Oi})}),Object.keys(It).forEach(function(Ft){var Ut=It[Ft];function zt(_t,Dt){var vt=_t.invoke(Dt,Ut),lr=_t.shared,_r=_t.constants,Br=lr.isBufferArgs,Di=lr.buffer,ci={isStream:Dt.def(!1)},bi=new Zr;bi.state=La,Object.keys(bi).forEach(function(Oi){ci[Oi]=Dt.def(\"\"+bi[Oi])});var gn=ci.buffer,tn=ci.type;Dt(\"if(\",Br,\"(\",vt,\")){\",ci.isStream,\"=true;\",gn,\"=\",Di,\".createStream(\",br,\",\",vt,\");\",tn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Di,\".getBuffer(\",vt,\");\",\"if(\",gn,\"){\",tn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',vt,\"){\",ci.state,\"=\",Ua,\";\",\"if(typeof \"+vt+'.constant === 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Ft==\"boolean\"?\"\"+Ft:Ut.link(Ft)})}),Object.keys(st).forEach(function(Bt){var Ft=st[Bt];It[Bt]=Bn(Ft,function(Ut,zt){return Ut.invoke(zt,Ft)})}),It}function Ul(Ne,$e,st,It,Bt){var Ft=Ne.static,Ut=Ne.dynamic,zt=is(Ne,$e),_t=sa(Ne,Bt),Dt=ba(Ne,_t,Bt),vt=Ga(Ne,Bt),lr=El(Ne,Bt),_r=Zs(Ne,Bt,zt);function Br(Ei){var Oi=Dt[Ei];Oi&&(lr[Ei]=Oi)}Br(ee),Br(Ji(Q));var Di=Object.keys(lr).length>0,ci={framebuffer:_t,draw:vt,shader:_r,state:lr,dirty:Di,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(ci.profile=ia(Ne,Bt),ci.uniforms=zo(st,Bt),ci.drawVAO=ci.scopeVAO=vt.vao,!ci.drawVAO&&_r.program&&!zt&&Ot.angle_instanced_arrays&&vt.static.elements){var bi=!0,gn=_r.program.attributes.map(function(Ei){var Oi=$e.static[Ei];return bi=bi&&!!Oi,Oi});if(bi&&gn.length>0){var tn=qi.getVAO(qi.createVAO({attributes:gn,elements:vt.static.elements}));ci.drawVAO=new Qr(null,null,null,function(Ei,Oi){return Ei.link(tn)}),ci.useVAO=!0}}return zt?ci.useVAO=!0:ci.attributes=Qs($e,Bt),ci.context=nl(It,Bt),ci}function ss(Ne,$e,st){var It=Ne.shared,Bt=It.context,Ft=Ne.scope();Object.keys(st).forEach(function(Ut){$e.save(Bt,\".\"+Ut);var zt=st[Ut],_t=zt.append(Ne,$e);Array.isArray(_t)?Ft(Bt,\".\",Ut,\"=[\",_t.join(),\"];\"):Ft(Bt,\".\",Ut,\"=\",_t,\";\")}),$e(Ft)}function Vs(Ne,$e,st,It){var Bt=Ne.shared,Ft=Bt.gl,Ut=Bt.framebuffer,zt;ui&&(zt=$e.def(Bt.extensions,\".webgl_draw_buffers\"));var _t=Ne.constants,Dt=_t.drawBuffer,vt=_t.backBuffer,lr;st?lr=st.append(Ne,$e):lr=$e.def(Ut,\".next\"),It||$e(\"if(\",lr,\"!==\",Ut,\".cur){\"),$e(\"if(\",lr,\"){\",Ft,\".bindFramebuffer(\",zr,\",\",lr,\".framebuffer);\"),ui&&$e(zt,\".drawBuffersWEBGL(\",Dt,\"[\",lr,\".colorAttachments.length]);\"),$e(\"}else{\",Ft,\".bindFramebuffer(\",zr,\",null);\"),ui&&$e(zt,\".drawBuffersWEBGL(\",vt,\");\"),$e(\"}\",Ut,\".cur=\",lr,\";\"),It||$e(\"}\")}function Ys(Ne,$e,st){var It=Ne.shared,Bt=It.gl,Ft=Ne.current,Ut=Ne.next,zt=It.current,_t=It.next,Dt=Ne.cond(zt,\".dirty\");fi.forEach(function(vt){var lr=Ji(vt);if(!(lr in st.state)){var _r,Br;if(lr in Ut){_r=Ut[lr],Br=Ft[lr];var Di=S(Zi[lr].length,function(bi){return Dt.def(_r,\"[\",bi,\"]\")});Dt(Ne.cond(Di.map(function(bi,gn){return bi+\"!==\"+Br+\"[\"+gn+\"]\"}).join(\"||\")).then(Bt,\".\",mn[lr],\"(\",Di,\");\",Di.map(function(bi,gn){return Br+\"[\"+gn+\"]=\"+bi}).join(\";\"),\";\"))}else{_r=Dt.def(_t,\".\",lr);var ci=Ne.cond(_r,\"!==\",zt,\".\",lr);Dt(ci),lr in si?ci(Ne.cond(_r).then(Bt,\".enable(\",si[lr],\");\").else(Bt,\".disable(\",si[lr],\");\"),zt,\".\",lr,\"=\",_r,\";\"):ci(Bt,\".\",mn[lr],\"(\",_r,\");\",zt,\".\",lr,\"=\",_r,\";\")}}}),Object.keys(st.state).length===0&&Dt(zt,\".dirty=false;\"),$e(Dt)}function wa(Ne,$e,st,It){var Bt=Ne.shared,Ft=Ne.current,Ut=Bt.current,zt=Bt.gl,_t;Ti(Object.keys(st)).forEach(function(Dt){var vt=st[Dt];if(!(It&&!It(vt))){var lr=vt.append(Ne,$e);if(si[Dt]){var 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i=t[n][0],a=i.trace,o=r._splomScenes[a.uid];a.type===\"splom\"&&o&&o.matrix&&yGt(e,a,o)}}function yGt(e,t,r){for(var n=r.matrixOptions.data.length,i=t._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],l=a[o]=new Array(4),u=jNe(e,t._diag[s][0]);u&&(l[0]=u.r2l(u.range[0]),l[2]=u.r2l(u.range[1]));var c=jNe(e,t._diag[s][1]);c&&(l[1]=c.r2l(c.range[0]),l[3]=c.r2l(c.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function IK(e){var t=e._fullLayout,r=t._glcanvas.data()[0].regl,n=t._splomGrid;n||(n=t._splomGrid=hGt(r)),n.update(_Gt(e))}function _Gt(e){var t=e._context.plotGlPixelRatio,r=e._fullLayout,n=r._size,i=[0,0,r.width*t,r.height*t],a={},o;function s(x,C,S,g,P,E){S*=t,g*=t,P*=t,E*=t;var z=C[x+\"color\"],q=C[x+\"width\"],V=String(z+q);V in a?a[V].data.push(NaN,NaN,S,g,P,E):a[V]={data:[S,g,P,E],join:\"rect\",thickness:q*t,color:z,viewport:i,range:i,overlay:!1}}for(o in r._splomSubplots){var l=r._plots[o],u=l.xaxis,c=l.yaxis,f=u._gridVals,h=c._gridVals,d=u._offset,v=u._length,m=c._length,b=n.b+c.domain[0]*n.h,p=-c._m,k=-p*c.r2l(c.range[0],c.calendar),M,T;if(u.showgrid)for(o=0;o<f.length;o++)M=d+u.l2p(f[o].x),s(\"grid\",u,M,b,M,b+m);if(c.showgrid)for(o=0;o<h.length;o++)T=b+k+p*h[o].x,s(\"grid\",c,d,T,d+v,T);WNe(e,u,c)&&(M=d+u.l2p(0),s(\"zeroline\",u,M,b,M,b+m)),WNe(e,c,u)&&(T=b+k+0,s(\"zeroline\",c,d,T,d+v,T))}var L=[];for(o in a)L.push(a[o]);return L}function xGt(e,t,r,n){var i={},a;if(n._splomScenes){for(a=0;a<e.length;a++){var o=e[a];o.type===\"splom\"&&(i[o.uid]=1)}for(a=0;a<r.length;a++){var s=r[a];if(!i[s.uid]){var l=n._splomScenes[s.uid];l&&l.destroy&&l.destroy(),n._splomScenes[s.uid]=null,delete n._splomScenes[s.uid]}}}Object.keys(n._splomScenes||{}).length===0&&delete n._splomScenes,n._splomGrid&&!t._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),Mx.clean(e,t,r,n)}YNe.exports={name:XNe,attr:Mx.attr,attrRegex:Mx.attrRegex,layoutAttributes:Mx.layoutAttributes,supplyLayoutDefaults:Mx.supplyLayoutDefaults,drawFramework:Mx.drawFramework,plot:gGt,drag:mGt,updateGrid:IK,clean:xGt,updateFx:Mx.updateFx,toSVG:Mx.toSVG,reglPrecompiled:ZNe}});var QNe=ye((yxr,$Ne)=>{\"use strict\";var JNe=HNe();JNe.basePlotModule=KNe(),$Ne.exports=JNe});var tUe=ye((_xr,eUe)=>{\"use strict\";eUe.exports=QNe()});var FK=ye((xxr,rUe)=>{\"use strict\";var bGt=Tu(),RK=Rd(),DK=ec(),wGt=Cc().attributes,Gz=Ao().extendFlat,TGt=vl().templatedArray;rUe.exports={domain:wGt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:DK({editType:\"plot\"}),tickfont:DK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:DK({editType:\"plot\"}),dimensions:TGt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:Gz({},RK.tickvals,{editType:\"plot\"}),ticktext:Gz({},RK.ticktext,{editType:\"plot\"}),tickformat:Gz({},RK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:Gz({editType:\"calc\"},bGt(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var Vk=ye((bxr,iUe)=>{\"use strict\";iUe.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}});var ay=ye((wxr,aUe)=>{\"use strict\";var AGt=$S();function nUe(e){return[e]}aUe.exports={keyFun:function(e){return e.key},repeat:nUe,descend:AGt,wrap:nUe,unwrap:function(e){return e[0]}}});var OK=ye((Txr,gUe)=>{\"use strict\";var Th=Vk(),im=Fa(),SGt=ay().keyFun,Hz=ay().repeat,E5=Pr().sorterAsc,MGt=Pr().strTranslate,oUe=Th.bar.snapRatio;function sUe(e,t){return e*(1-oUe)+t*oUe}var lUe=Th.bar.snapClose;function EGt(e,t){return e*(1-lUe)+t*lUe}function Wz(e,t,r,n){if(kGt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*EGt(l,h))return sUe(l,u);if(i*r<i*h||f===o)return sUe(h,l);u=l,l=h}}function kGt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function CGt(e){e.attr(\"x\",-Th.bar.captureWidth/2).attr(\"width\",Th.bar.captureWidth)}function LGt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function PGt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=uUe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function uUe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(E5)})}function IGt(e,t){var r=Th.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function cUe(){im.select(document.body).style(\"cursor\",null)}function qK(e){e.attr(\"stroke-dasharray\",PGt)}function jz(e,t){var r=im.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(Th.bar.snapDuration).each(\"end\",t):r;qK(n)}function fUe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=uUe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],m=IGt(v,t);m&&(a.interval=l[i],a.intervalPix=v,a.region=m)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,p=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var k=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(p>=k[0]&&p<=k[1]){a.clickableOrdinalRange=k;break}}}return a}function RGt(e,t){im.event.sourceEvent.stopPropagation();var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=fUe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-Th.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function hUe(e,t){im.event.sourceEvent.stopPropagation();var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(E5),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),jz(e.parentNode)}function DGt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(dUe(e,t),hUe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=im.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,cUe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&zK(r)):zK(r),i.brushCallback(t),jz(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[Wz(0,l,i.newExtent[0],i.stayingIntervals),Wz(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||zK(r),i.brushCallback(t),u?jz(e.parentNode,s):(s(),jz(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function dUe(e,t){var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=fUe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),im.select(document.body).style(\"cursor\",i)}function FGt(e){e.on(\"mousemove\",function(t){im.event.preventDefault(),t.parent.inBrushDrag||dUe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||cUe()}).call(im.behavior.drag().on(\"dragstart\",function(t){RGt(this,t)}).on(\"drag\",function(t){hUe(this,t)}).on(\"dragend\",function(t){DGt(this,t)}))}function vUe(e,t){return e[0]-t[0]}function zGt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(Hz);i.enter().append(\"rect\").classed(\"background\",!0).call(CGt).call(LGt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",MGt(0,Th.verticalPadding)),i.call(FGt).attr(\"height\",function(s){return s.height-Th.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(Hz);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-Th.bar.width/2).attr(\"stroke-width\",Th.bar.width+Th.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",Th.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(qK);var o=e.selectAll(\".highlight\").data(Hz);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-Th.bar.width/2).attr(\"stroke-width\",Th.bar.width-Th.bar.strokeWidth).attr(\"stroke\",Th.bar.fillColor).attr(\"opacity\",Th.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(qK)}function qGt(e,t,r){var n=e.selectAll(\".\"+Th.cn.axisBrush).data(Hz,SGt);n.enter().append(\"g\").classed(Th.cn.axisBrush,!0),zGt(n,t,r)}function OGt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function zK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function BGt(e){return function(r){var n=r.brush,i=OGt(n),a=i.slice();n.filter.set(a),e()}}function pUe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function NGt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(E5)}).sort(vUe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=pUe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function UGt(e,t,r,n,i,a){var o=NGt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:BGt(i),brushEndCallback:a}}}function VGt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(E5)}),t.multiselect?e=pUe(e.sort(vUe)):e=[e[0]]):e=[e.sort(E5)],t.tickvals){var r=t.tickvals.slice().sort(E5);if(e=e.map(function(n){var i=[Wz(0,r,n[0],[]),Wz(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}gUe.exports={makeBrush:UGt,ensureAxisBrush:qGt,cleanRanges:VGt}});var _Ue=ye((Axr,yUe)=>{\"use strict\";var Ex=Pr(),GGt=pv().hasColorscale,HGt=td(),jGt=Cc().defaults,WGt=Kd(),XGt=ho(),mUe=FK(),ZGt=OK(),BK=Vk().maxDimensionCount,YGt=zz();function KGt(e,t,r,n,i){var a=i(\"line.color\",r);if(GGt(e,\"line\")&&Ex.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),HGt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function JGt(e,t,r,n){function i(u,c){return Ex.coerce(e,t,mUe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},XGt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=ZGt.cleanRanges(l,t))}}yUe.exports=function(t,r,n,i){function a(c,f){return Ex.coerce(t,r,mUe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>BK&&(Ex.log(\"parcoords traces support up to \"+BK+\" dimensions at the moment\"),o.splice(BK));var s=WGt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:JGt}),l=KGt(t,r,n,i,a);jGt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),YGt(r,s,\"values\",l);var u=Ex.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});Ex.coerceFont(a,\"labelfont\",u),Ex.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),Ex.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var bUe=ye((Sxr,xUe)=>{\"use strict\";var $Gt=Pr().isArrayOrTypedArray,NK=tc(),QGt=ay().wrap;xUe.exports=function(t,r){var n,i;return NK.hasColorscale(r,\"line\")&&$Gt(r.line.color)?(n=r.line.color,i=NK.extractOpts(r.line).colorscale,NK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=eHt(r._length),i=[[0,r.line.color],[1,r.line.color]]),QGt({lineColor:n,cscale:i})};function eHt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});function tHt(e){var c,f;var t,r=[],n=1,i;if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(e=String(e).toLowerCase(),UK.default[e])r=UK.default[e].slice(),i=\"rgb\";else if(e===\"transparent\")n=0,i=\"rgb\",r=[0,0,0];else if(e[0]===\"#\"){var a=e.slice(1),o=a.length,s=o<=4;n=1,s?(r=[parseInt(a[0]+a[0],16),parseInt(a[1]+a[1],16),parseInt(a[2]+a[2],16)],o===4&&(n=parseInt(a[3]+a[3],16)/255)):(r=[parseInt(a[0]+a[1],16),parseInt(a[2]+a[3],16),parseInt(a[4]+a[5],16)],o===8&&(n=parseInt(a[6]+a[7],16)/255)),r[0]||(r[0]=0),r[1]||(r[1]=0),r[2]||(r[2]=0),i=\"rgb\"}else if(t=/^((?:rgba?|hs[lvb]a?|hwba?|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms|oklch|oklab|color))\\s*\\(([^\\)]*)\\)/.exec(e)){var l=t[1];i=l.replace(/a$/,\"\");var u=i===\"cmyk\"?4:i===\"gray\"?1:3;r=t[2].trim().split(/\\s*[,\\/]\\s*|\\s+/),i===\"color\"&&(i=r.shift()),r=r.map(function(h,d){if(h[h.length-1]===\"%\")return h=parseFloat(h)/100,d===3?h:i===\"rgb\"?h*255:i[0]===\"h\"||i[0]===\"l\"&&!d?h*100:i===\"lab\"?h*125:i===\"lch\"?d<2?h*150:h*360:i[0]===\"o\"&&!d?h:i===\"oklab\"?h*.4:i===\"oklch\"?d<2?h*.4:h*360:h;if(i[d]===\"h\"||d===2&&i[i.length-1]===\"h\"){if(wUe[h]!==void 0)return wUe[h];if(h.endsWith(\"deg\"))return parseFloat(h);if(h.endsWith(\"turn\"))return parseFloat(h)*360;if(h.endsWith(\"grad\"))return parseFloat(h)*360/400;if(h.endsWith(\"rad\"))return parseFloat(h)*180/Math.PI}return h===\"none\"?0:parseFloat(h)}),n=r.length>u?r.pop():1}else/[0-9](?:\\s|\\/|,)/.test(e)&&(r=e.match(/([0-9]+)/g).map(function(h){return parseFloat(h)}),i=((f=(c=e.match(/([a-z])/ig))==null?void 0:c.join(\"\"))==null?void 0:f.toLowerCase())||\"rgb\");return{space:i,values:r,alpha:n}}var UK,TUe,wUe,AUe=gu(()=>{UK=Rtt(MX(),1),TUe=tHt,wUe={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}});var Gk,VK=gu(()=>{Gk={name:\"rgb\",min:[0,0,0],max:[255,255,255],channel:[\"red\",\"green\",\"blue\"],alias:[\"RGB\"]}});var Xz,SUe=gu(()=>{VK();Xz={name:\"hsl\",min:[0,0,0],max:[360,100,100],channel:[\"hue\",\"saturation\",\"lightness\"],alias:[\"HSL\"],rgb:function(e){var t=e[0]/360,r=e[1]/100,n=e[2]/100,i,a,o,s,l,u=0;if(r===0)return l=n*255,[l,l,l];for(a=n<.5?n*(1+r):n+r-n*r,i=2*n-a,s=[0,0,0];u<3;)o=t+1/3*-(u-1),o<0?o++:o>1&&o--,l=6*o<1?i+(a-i)*6*o:2*o<1?a:3*o<2?i+(a-i)*(2/3-o)*6:i,s[u++]=l*255;return s}};Gk.hsl=function(e){var t=e[0]/255,r=e[1]/255,n=e[2]/255,i=Math.min(t,r,n),a=Math.max(t,r,n),o=a-i,s,l,u;return a===i?s=0:t===a?s=(r-n)/o:r===a?s=2+(n-t)/o:n===a&&(s=4+(t-r)/o),s=Math.min(s*60,360),s<0&&(s+=360),u=(i+a)/2,a===i?l=0:u<=.5?l=o/(a+i):l=o/(2-a-i),[s,l*100,u*100]}});var EUe={};bee(EUe,{default:()=>MUe});function MUe(e){Array.isArray(e)&&e.raw&&(e=String.raw(...arguments)),e instanceof Number&&(e=+e);var t,r,n,i=TUe(e);if(!i.space)return[];let a=i.space[0]===\"h\"?Xz.min:Gk.min,o=i.space[0]===\"h\"?Xz.max:Gk.max;return t=Array(3),t[0]=Math.min(Math.max(i.values[0],a[0]),o[0]),t[1]=Math.min(Math.max(i.values[1],a[1]),o[1]),t[2]=Math.min(Math.max(i.values[2],a[2]),o[2]),i.space[0]===\"h\"&&(t=Xz.rgb(t)),t.push(Math.min(Math.max(i.alpha,0),1)),t}var kUe=gu(()=>{AUe();VK();SUe()});var GK=ye(Zz=>{\"use strict\";var rHt=Pr().isTypedArray;Zz.convertTypedArray=function(e){return rHt(e)?Array.prototype.slice.call(e):e};Zz.isOrdinal=function(e){return!!e.tickvals};Zz.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var OUe=ye((Dxr,qUe)=>{\"use strict\";var iHt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(`\n",
+       "`),nHt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
+       "`),Hk=Vk().maxDimensionCount,DUe=Pr(),CUe=1e-6,Yz=2048,aHt=new Uint8Array(4),LUe=new Uint8Array(4),PUe={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function oHt(e){e.read({x:0,y:0,width:1,height:1,data:aHt})}function FUe(e,t,r,n,i){var a=e._gl;a.enable(a.SCISSOR_TEST),a.scissor(t,r,n,i),e.clear({color:[0,0,0,0],depth:1})}function sHt(e,t,r,n,i,a){var o=a.key;function s(l){var u=Math.min(n,i-l*n);l===0&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],FUe(e,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),!r.clearOnly&&(a.count=2*u,a.offset=2*l*n,t(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}r.drawCompleted||(oHt(e),r.drawCompleted=!0),s(0)}function lHt(e){return Math.max(CUe,Math.min(1-CUe,e))}function uHt(e,t){for(var r=new Array(256),n=0;n<256;n++)r[n]=e(n/255).concat(t);return r}function HK(e,t){return(e>>>8*t)%256/255}function cHt(e,t,r){for(var n=new Array(e*(Hk+4)),i=0,a=0;a<e;a++){for(var o=0;o<Hk;o++)n[i++]=o<t.length?t[o].paddedUnitValues[a]:.5;n[i++]=HK(a,2),n[i++]=HK(a,1),n[i++]=HK(a,0),n[i++]=lHt(r[a])}return n}function fHt(e,t,r){for(var n=new Array(t*8),i=0,a=0;a<t;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=e*4+s,u=r[a*64+l];l===63&&o===0&&(u*=-1),n[i++]=u}return n}function IUe(e){var t=\"0\"+e;return t.slice(-2)}function zUe(e){return e<Hk?\"p\"+IUe(e+1)+\"_\"+IUe(e+4):\"colors\"}function hHt(e,t,r){for(var n=0;n<=Hk;n+=4)e[zUe(n)](fHt(n/4,t,r))}function dHt(e){for(var t={},r=0;r<=Hk;r+=4)t[zUe(r)]=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return t}function vHt(e,t,r,n,i,a,o,s,l,u,c,f,h,d){for(var v=[[],[]],m=0;m<64;m++)v[0][m]=m===i?1:0,v[1][m]=m===a?1:0;o*=d,s*=d,l*=d,u*=d;var b=e.lines.canvasOverdrag*d,p=e.domain,k=e.canvasWidth*d,M=e.canvasHeight*d,T=e.pad.l*d,L=e.pad.b*d,x=e.layoutHeight*d,C=e.layoutWidth*d,S=e.deselectedLines.color,g=e.deselectedLines.opacity,P=DUe.extendFlat({key:c,resolution:[k,M],viewBoxPos:[o+b,s],viewBoxSize:[l,u],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:f,contextColor:[S[0]/255,S[1]/255,S[2]/255,g!==\"auto\"?S[3]*g:Math.max(1/255,Math.pow(1/e.lines.color.length,1/3))],scissorX:(n===t?0:o+b)+(T-b)+C*p.x[0],scissorWidth:(n===r?k-o+b:l+.5)+(n===t?o+b:0),scissorY:s+L+x*p.y[0],scissorHeight:u,viewportX:T-b+C*p.x[0],viewportY:L+x*p.y[0],viewportWidth:k,viewportHeight:M},h);return P}function RUe(e){var t=Yz-1,r=Math.max(0,Math.floor(e[0]*t),0),n=Math.min(t,Math.ceil(e[1]*t),t);return[Math.min(r,n),Math.max(r,n)]}qUe.exports=function(e,t){var r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=dHt(i),v,m=i.texture(PUe),b=[];k(t);var p=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!r,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:i.prop(\"scissorX\"),y:i.prop(\"scissorY\"),width:i.prop(\"scissorWidth\"),height:i.prop(\"scissorHeight\")}},viewport:{x:i.prop(\"viewportX\"),y:i.prop(\"viewportY\"),width:i.prop(\"viewportWidth\"),height:i.prop(\"viewportHeight\")},dither:!1,vert:iHt,frag:nHt,primitive:\"lines\",lineWidth:s,attributes:d,uniforms:{resolution:i.prop(\"resolution\"),viewBoxPos:i.prop(\"viewBoxPos\"),viewBoxSize:i.prop(\"viewBoxSize\"),dim0A:i.prop(\"dim0A\"),dim1A:i.prop(\"dim1A\"),dim0B:i.prop(\"dim0B\"),dim1B:i.prop(\"dim1B\"),dim0C:i.prop(\"dim0C\"),dim1C:i.prop(\"dim1C\"),dim0D:i.prop(\"dim0D\"),dim1D:i.prop(\"dim1D\"),loA:i.prop(\"loA\"),hiA:i.prop(\"hiA\"),loB:i.prop(\"loB\"),hiB:i.prop(\"hiB\"),loC:i.prop(\"loC\"),hiC:i.prop(\"hiC\"),loD:i.prop(\"loD\"),hiD:i.prop(\"hiD\"),palette:m,contextColor:i.prop(\"contextColor\"),maskTexture:i.prop(\"maskTexture\"),drwLayer:i.prop(\"drwLayer\"),maskHeight:i.prop(\"maskHeight\")},offset:i.prop(\"offset\"),count:i.prop(\"count\")});function k(S){u=S.model,c=S.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var g=u.lines,P=n?g.color.map(function(z,q){return q/g.color.length}):g.color,E=cHt(h,f,P);hHt(d,h,E),!r&&!n&&(m=i.texture(DUe.extendFlat({data:uHt(u.unitToColor,255)},PUe)))}function M(S){var g,P,E,z=[[],[]];for(E=0;E<64;E++){var q=!S&&E<f.length?f[E].brush.filter.getBounds():[-1/0,1/0];z[0][E]=q[0],z[1][E]=q[1]}var V=Yz*8,G=new Array(V);for(g=0;g<V;g++)G[g]=255;if(!S)for(g=0;g<f.length;g++){var Z=g%8,j=(g-Z)/8,N=Math.pow(2,Z),H=f[g],re=H.brush.filter.get();if(!(re.length<2)){var ae=RUe(re[0])[1];for(P=1;P<re.length;P++){var _e=RUe(re[P]);for(E=ae+1;E<_e[0];E++)G[E*8+j]&=~N;ae=Math.max(ae,_e[1])}}}var Ee={shape:[8,Yz],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:G};return 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i(\"line.colorscale\"),BHt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function jHt(e,t){function r(u,c){return C5.coerce(e,t,mVe.dimensions,u,c)}var n=r(\"values\"),i=r(\"visible\");if(n&&n.length||(i=t.visible=!1),i){r(\"label\"),r(\"displayindex\",t._index);var a=e.categoryarray,o=C5.isArrayOrTypedArray(a)&&a.length>0||GHt(a),s;o&&(s=\"array\");var l=r(\"categoryorder\",s);l===\"array\"?(r(\"categoryarray\"),r(\"ticktext\")):(delete e.categoryarray,delete e.ticktext),!o&&l===\"array\"&&(t.categoryorder=\"trace\")}}yVe.exports=function(t,r,n,i){function a(u,c){return C5.coerce(t,r,mVe,u,c)}var o=UHt(t,r,{name:\"dimensions\",handleItemDefaults:jHt}),s=HHt(t,r,n,i,a);NHt(r,i,a),(!Array.isArray(o)||!o.length)&&(r.visible=!1),VHt(r,o,\"values\",s),a(\"hoveron\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"arrangement\"),a(\"bundlecolors\"),a(\"sortpaths\"),a(\"counts\");var l=i.font;C5.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),C5.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var bVe=ye((Vxr,xVe)=>{\"use strict\";var WHt=ay().wrap,XHt=pv().hasColorscale,ZHt=gv(),YHt=aO(),KHt=So(),Wk=Pr(),JHt=Eo();xVe.exports=function(t,r){var n=Wk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(g){var P;if(g.categoryorder===\"trace\")P=null;else if(g.categoryorder===\"array\")P=g.categoryarray;else{P=YHt(g.values);for(var E=!0,z=0;z<P.length;z++)if(!JHt(P[z])){E=!1;break}P.sort(E?Wk.sorterAsc:void 0),g.categoryorder===\"category descending\"&&(P=P.reverse())}return njt(g.values,P)}),a,o,s;Wk.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],ajt(n),n.forEach(function(g,P){ojt(g,i[P])});var l=r.line,u;l?(XHt(r,\"line\")&&ZHt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=KHt.tryColorscale(l)):u=Wk.identity;function c(g){var P,E;return Wk.isArrayOrTypedArray(l.color)?(P=l.color[g%l.color.length],E=P):P=l.color,{color:u(P),rawColor:E}}var f=n[0].values.length,h={},d=i.map(function(g){return g.inds});s=0;var v,m;for(v=0;v<f;v++){var b=[];for(m=0;m<d.length;m++)b.push(d[m][v]);o=a[v%a.length],s+=o;var p=c(v),k=b+\"-\"+p.rawColor;h[k]===void 0&&(h[k]=rjt(b,p.color,p.rawColor)),ijt(h[k],v,o)}var M=n.map(function(g,P){return QHt(P,g._index,g._displayindex,g.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],m=0;m<M.length;m++){var T=M[m].containerInd,L=i[m].inds[v],x=M[m].categories;if(x[L]===void 0){var C=r.dimensions[T]._categoryarray[L],S=r.dimensions[T]._ticktext[L];x[L]=ejt(m,L,C,S)}tjt(x[L],v,o)}return WHt($Ht(M,h,s))};function $Ht(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function QHt(e,t,r,n,i){return{dimensionInd:e,containerInd:t,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}function ejt(e,t,r,n){return{dimensionInd:e,categoryInd:t,categoryValue:r,displayInd:t,categoryLabel:n,valueInds:[],count:0,dragY:null}}function tjt(e,t,r){e.valueInds.push(t),e.count+=r}function rjt(e,t,r){return{categoryInds:e,color:t,rawColor:r,valueInds:[],count:0}}function ijt(e,t,r){e.valueInds.push(t),e.count+=r}function njt(e,t){t==null?t=[]:t=t.map(function(u){return u});var r={},n={},i=[];t.forEach(function(u,c){r[u]=0,n[u]=c});for(var a=0;a<e.length;a++){var o=e[a],s;r[o]===void 0?(r[o]=1,s=t.push(o)-1,n[o]=s):(r[o]++,s=n[o]),i.push(s)}var l=t.map(function(u){return r[u]});return{uniqueValues:t,uniqueCounts:l,inds:i}}function ajt(e){var t=e.map(function(n){return n.displayindex}),r;if(sjt(t))for(r=0;r<e.length;r++)e[r]._displayindex=e[r].displayindex;else for(r=0;r<e.length;r++)e[r]._displayindex=r}function ojt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function sjt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var LVe=ye((Gxr,CVe)=>{\"use strict\";var Dl=Fa(),ljt=(W2(),gb(j2)).interpolateNumber,ujt=JP(),Yk=ef(),kx=Pr(),Xk=kx.strTranslate,wVe=So(),QK=fd(),cjt=Zl();function fjt(e,t,r,n){var i=t._context.staticPlot,a=e.map(Mjt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,m1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(k){return Xk(k.x,k.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(k){return k.paths},m1);c.attr(\"fill\",function(k){return k.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.model.color}).attr(\"fill-opacity\",0);rJ(f),c.attr(\"d\",function(k){return k.svgD}),f.empty()||c.sort(eJ),c.exit().remove(),c.on(\"mouseover\",hjt).on(\"mouseout\",djt).on(\"click\",vjt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(k){return k.dimensions},m1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(k){return Xk(k.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(k){return k.categories},m1),m=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(k){return Xk(0,k.y)}),m.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}),AVe(m);var b=v.selectAll(\"rect.bandrect\").data(function(k){return k.bands},m1);b.each(function(){kx.raiseToTop(this)}),b.attr(\"fill\",function(k){return k.color});var p=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(k){return k.color}).attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}).attr(\"y\",function(k){return k.y}).attr(\"cursor\",function(k){return 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k.width/2}).attr(\"y\",-5).text(function(k,M){return M===0?k.parcatsViewModel.model.dimensions[k.model.dimensionInd].dimensionLabel:null}).each(function(k){wVe.font(Dl.select(this),k.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",bjt).on(\"mouseout\",wjt),v.exit().remove(),d.call(Dl.behavior.drag().origin(function(k){return{x:k.x,y:0}}).on(\"dragstart\",Tjt).on(\"drag\",Ajt).on(\"dragend\",Sjt)),s.each(function(k){k.traceSelection=Dl.select(this),k.pathSelection=Dl.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),k.dimensionSelection=Dl.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}CVe.exports=function(e,t,r,n){fjt(r,e,n,t)};function m1(e){return e.key}function Zk(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function eJ(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function hjt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){kx.raiseToTop(this),iJ(Dl.select(this));var t=Kk(e),r=tJ(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:Dl.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=Dl.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,m=e.parcatsViewModel.y+c,b=QK.mostReadable(e.model.color,[\"black\",\"white\"]),p=e.model.count,k=p/e.parcatsViewModel.model.count,M={countLabel:p,probabilityLabel:k.toFixed(3)},T=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&T.push([\"Count:\",M.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&T.push([\"P:\",M.probabilityLabel].join(\" \"));var L=T.join(\"<br>\"),x=Dl.mouse(i)[0];Yk.loneHover({trace:a,x:v-s.left+l.left,y:m-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:x<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:a._input,fullData:a,count:p,probability:k}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function djt(e){if(!e.parcatsViewModel.dragDimension&&(rJ(Dl.select(this)),Yk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(eJ),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=Kk(e),r=tJ(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:Dl.event,constraints:r})}}function Kk(e){for(var t=[],r=MVe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function tJ(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function vjt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Kk(e),r=tJ(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:Dl.event,constraints:r})}}function rJ(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function iJ(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return QK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function pjt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function AVe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function gjt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function nJ(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function $z(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function mjt(e){var t=Dl.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=$z(r);iJ(n),n.each(function(){kx.raiseToTop(this)})}),pjt(Dl.select(e.parentNode))}function yjt(e){var t=Dl.select(e).datum(),r=$z(t);iJ(r),r.each(function(){kx.raiseToTop(this)}),Dl.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){kx.raiseToTop(this),gjt(Dl.select(this))})}function aJ(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Dl.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=$z(u);c.each(function(f){Array.prototype.push.apply(s,Kk(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function oJ(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=$z(n),s=[];o.each(function(u){Array.prototype.push.apply(s,Kk(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function SVe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=Dl.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,m=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,p={countLabel:v,categoryLabel:m,probabilityLabel:b.toFixed(3)},k=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&k.push([\"Count:\",p.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&k.push([\"P(\"+p.categoryLabel+\"):\",p.probabilityLabel].join(\" \"));var M=k.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:p,eventData:[{data:c._input,fullData:c,count:v,category:m,probability:b}]}}function _jt(e,t,r){var n=[];return Dl.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(SVe(e,t,i))}),n}function xjt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=Dl.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,m=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var p=s.model.count,k=0;l.pathSelection.each(function(P){P.model.color===o.color&&(k+=P.model.count)});var M=b/m,T=b/k,L=b/p,x={countLabel:b,categoryLabel:v,probabilityLabel:M.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",x.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(C.push(\"P(color \\u2229 \"+v+\"): \"+x.probabilityLabel),C.push(\"P(\"+v+\" | color): \"+T.toFixed(3)),C.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var S=C.join(\"<br>\"),g=QK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:S,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:g,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:x,eventData:[{data:c._input,fullData:c,category:v,count:m,probability:M,categorycount:p,colorcount:k,bandcolorcount:b}]}}function bjt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Dl.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(yjt(o),oJ(o,\"plotly_hover\",Dl.event)):(mjt(o),aJ(o,\"plotly_hover\",Dl.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=SVe(r,i,o):a===\"color\"?s=xjt(r,i,o):a===\"dimension\"&&(s=_jt(r,i,o)),s&&Yk.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function wjt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(rJ(t.pathSelection),AVe(t.dimensionSelection.selectAll(\"g.category\")),nJ(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),Yk.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(eJ),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?oJ(n,\"plotly_unhover\",Dl.event):aJ(n,\"plotly_unhover\",Dl.event)}}function Tjt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,Dl.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=Dl.mouse(this)[0],n=Dl.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,kx.raiseToTop(this.parentNode),Dl.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,Yk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function Ajt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=Dl.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=Dl.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}lJ(e.parcatsViewModel),sJ(e.parcatsViewModel),kVe(e.parcatsViewModel),EVe(e.parcatsViewModel)}}function Sjt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){Dl.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=MVe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?oJ(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent):aJ(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,lJ(e.parcatsViewModel),sJ(e.parcatsViewModel);var f=Dl.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){kVe(e.parcatsViewModel,!0),EVe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&ujt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function MVe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function EVe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},m1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function kVe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},m1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},m1);r(e.dimensionSelection).attr(\"transform\",function(l){return Xk(l.x,0)}),r(n).attr(\"transform\",function(l){return Xk(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return Zk(l)?\"start\":\"end\"}).attr(\"x\",function(l){return Zk(l)?l.width+5:-5}).each(function(l){var u,c;Zk(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),Dl.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},m1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),nJ(s),o.each(function(){kx.raiseToTop(this)}),o.exit().remove()}function Mjt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var m={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(lJ(m),sJ(m)),m}function TVe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=ljt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",l=r.length-2;l>=0;l--)u+=\"C\"+o[l]+\",\"+(t[l+1]+n)+\" \"+a[l]+\",\"+(t[l]+n)+\" \"+(e[l]+r[l])+\",\"+(t[l]+n),u+=\"l-\"+r[l]+\",0 \";return u+=\"Z\",u}function sJ(e){var t=e.dimensions,r=e.model,n=t.map(function(q){return q.categories.map(function(V){return V.y})}),i=e.model.dimensions.map(function(q){return q.categories.map(function(V){return V.displayInd})}),a=e.model.dimensions.map(function(q){return q.displayInd}),o=e.dimensions.map(function(q){return q.model.dimensionInd}),s=t.map(function(q){return q.x}),l=t.map(function(q){return q.width}),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(q){var V=q.categoryInds.map(function(Z,j){return i[j][Z]}),G=o.map(function(Z){return V[Z]});return G}u.sort(function(q,V){var G=f(q),Z=f(V);return e.sortpaths===\"backward\"&&(G.reverse(),Z.reverse()),G.push(q.valueInds[0]),Z.push(V.valueInds[0]),e.bundlecolors&&(G.unshift(q.rawColor),Z.unshift(V.rawColor)),G<Z?-1:G>Z?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(q){return q.height}).reduce(function(q,V){return q+V}),m=0;m<u.length;m++){var b=u[m],p;d>0?p=v*(b.count/d):p=0;for(var k=new Array(n.length),M=0;M<b.categoryInds.length;M++){var T=b.categoryInds[M],L=i[M][T],x=a[M];k[x]=n[x][L],n[x][L]+=p;var C=e.dimensions[x].categories[L],S=C.bands.length,g=C.bands[S-1];if(g===void 0||b.rawColor!==g.rawColor){var P=g===void 0?0:g.y+g.height;C.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:p,width:C.width,count:b.count,y:P,categoryViewModel:C,parcatsViewModel:e})}else{var E=C.bands[S-1];E.height+=p,E.count+=b.count}}var z;e.pathShape===\"hspline\"?z=TVe(s,k,l,p,.5):z=TVe(s,k,l,p,0),h[m]={key:b.valueInds[0],model:b,height:p,leftXs:s,topYs:k,dimWidths:l,svgD:z,parcatsViewModel:e}}e.paths=h}function lJ(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(Ejt(e,a))}e.dimensions=r}function Ejt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),m,b,p,k,M,T=(c-f)*h/2,L=t.categories.map(function(x){return{displayInd:x.displayInd,categoryInd:x.categoryInd}});for(L.sort(function(x,C){return x.displayInd-C.displayInd}),M=0;M<f;M++)k=L[M].categoryInd,b=t.categories[k],d>0?m=b.count/d*v:m=0,p={key:b.valueInds[0],model:b,width:n,height:m,y:b.dragY!==null?b.dragY:T,bands:[],parcatsViewModel:e},T=T+m+h,u.push(p);return{key:t.dimensionInd,x:t.dragX!==null?t.dragX:l,y:0,width:n,model:t,categories:u,parcatsViewModel:e,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}});var uJ=ye((Hxr,PVe)=>{\"use strict\";var kjt=LVe();PVe.exports=function(t,r,n,i){var a=t._fullLayout,o=a._paper,s=a._size;kjt(t,o,r,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},n,i)}});var RVe=ye(Qz=>{\"use strict\";var Cjt=Id().getModuleCalcData,Ljt=uJ(),IVe=\"parcats\";Qz.name=IVe;Qz.plot=function(e,t,r,n){var i=Cjt(e.calcdata,IVe);if(i.length){var a=i[0];Ljt(e,a,r,n)}};Qz.clean=function(e,t,r,n){var i=n._has&&n._has(\"parcats\"),a=t._has&&t._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}});var FVe=ye((Wxr,DVe)=>{\"use strict\";DVe.exports={attributes:$K(),supplyDefaults:_Ve(),calc:bVe(),plot:uJ(),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:RVe(),categories:[\"noOpacity\"],meta:{}}});var qVe=ye((Xxr,zVe)=>{\"use strict\";zVe.exports=FVe()});var y1=ye((Zxr,HVe)=>{\"use strict\";var Pjt=r_(),OVe=\"1.13.4\",VVe='\\xA9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',BVe=['\\xA9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',VVe].join(\" \"),NVe=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a 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custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install @plotly/mapbox-gl@\"+OVe+\".\"].join(`\n",
+       "`),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(`\n",
+       "`),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",UVe.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(`\n",
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fJ=ye((Jxr,QVe)=>{\"use strict\";var Wjt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];QVe.exports={isSupportedFont:function(e){return Wjt.indexOf(e)!==-1}}});var rGe=ye(($xr,tGe)=>{\"use strict\";var Qk=Pr(),hJ=Ru(),Xjt=$p(),Zjt=D0(),Yjt=F0(),Kjt=Fg(),eGe=e7(),Jjt=fJ().isSupportedFont;tGe.exports=function(t,r,n,i){function a(p,k){return Qk.coerce(t,r,eGe,p,k)}function o(p,k){return Qk.coerce2(t,r,eGe,p,k)}var s=$jt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),hJ.hasMarkers(r)){Xjt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Qk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Qk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}hJ.hasLines(r)&&(Zjt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,m=a(\"cluster.enabled\",v);if(m||hJ.hasText(r)){var 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vGe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:I5+t+\"-fill\",line:I5+t+\"-line\",circle:I5+t+\"-circle\",symbol:I5+t+\"-symbol\",cluster:I5+t+\"-cluster\",clusterCount:I5+t+\"-cluster-count\"},this.below=null}var eC=vGe.prototype;eC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&uWt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};eC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};eC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};eC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=dGe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(M){M||u.addSource(\"circle\",a.circle,r.cluster);for(var T=ng.cluster,L=0;L<T.length;L++){var x=T[L],C=a[x];u.addLayer(x,C,o)}}function f(M){for(var T=ng.cluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x])}M||i.removeSource(u.sourceIds.circle)}function h(M){for(var T=ng.nonCluster,L=0;L<T.length;L++){var x=T[L],C=a[x];M||u.addSource(x,C),u.addLayer(x,C,o)}}function d(M){for(var T=ng.nonCluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x]),M||i.removeSource(u.sourceIds[x])}}function v(M){l?f(M):d(M)}function m(M){s?c(M):h(M)}function b(){for(var M=s?ng.cluster:ng.nonCluster,T=0;T<M.length;T++){var L=M[T],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||m():l!==s?(v(),m()):(this.below!==o&&(v(!0),m(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};eC.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?ng.cluster:ng.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};pGe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new vGe(t,n.uid,i,a),s=dGe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<ng.cluster.length;u++)c=ng.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<ng.nonCluster.length;u++)c=ng.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var a7=ye((ibr,yGe)=>{\"use strict\";var cWt=ef(),mJ=Pr(),fWt=xT(),hWt=mJ.fillText,dWt=fs().BADNUM,vWt=y1().traceLayerPrefix;function pWt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=vWt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(S){return S.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function m(S){var g=S.lonlat;if(g[0]===dWt||c&&l.indexOf(S.i+1)===-1)return 1/0;var P=mJ.modHalf(g[0],360),E=g[1],z=s.project([P,E]),q=z.x-a.c2p([v,E]),V=z.y-o.c2p([P,r]),G=Math.max(3,S.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-G,1-3/G)}if(cWt.getClosest(n,m,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[mJ.modHalf(p[0],360)+d,p[1]],M=a.c2p(k),T=o.c2p(k),L=b.mrc||1;e.x0=M-L,e.x1=M+L,e.y0=T-L,e.y1=T+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=fWt(i,b),e.extraText=mGe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function mGe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&hWt(t,e,u),u.join(\"<br>\")}yGe.exports={hoverPoints:pWt,getExtraText:mGe}});var xGe=ye((nbr,_Ge)=>{\"use strict\";_Ge.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var wGe=ye((abr,bGe)=>{\"use strict\";var gWt=Pr(),mWt=Ru(),yWt=fs().BADNUM;bGe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!mWt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==yWt){var f=[gWt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var xJ=ye((yJ,_J)=>{(function(e,t){typeof yJ==\"object\"&&typeof _J!=\"undefined\"?_J.exports=t():(e=e||self,e.mapboxgl=t())})(yJ,(function(){\"use strict\";var e,t,r;function n(i,a){if(!e)e=a;else if(!t)t=a;else{var o=\"var sharedChunk = {}; (\"+e+\")(sharedChunk); (\"+t+\")(sharedChunk);\",s={};e(s),r=a(s),typeof window!=\"undefined\"&&(r.workerUrl=window.URL.createObjectURL(new Blob([o],{type:\"text/javascript\"})))}}return n([\"exports\"],function(i){\"use strict\";function a(y,_){return _={exports:{}},y(_,_.exports),_.exports}var o=\"1.13.4\",s=l;function 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it=_;it<I;it++)this.paintVertexArray.emplace(it,U,$);this.maxValue=Math.max(this.maxValue,Math.abs(U),Math.abs($))}},_r.prototype.upload=function(_){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=_.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},_r.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},_r.prototype.setUniform=function(_,I){var U=this.useIntegerZoom?Math.floor(I.zoom):I.zoom,$=p(this.expression.interpolationFactor(U,this.zoom,this.zoom+1),0,1);_.set($)},_r.prototype.getBinding=function(_,I,U){return new $e(_,I)};var Br=function(_,I,U,$,oe,he){this.expression=_,this.type=I,this.useIntegerZoom=U,this.zoom=$,this.layerId=he,this.zoomInPaintVertexArray=new oe,this.zoomOutPaintVertexArray=new 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sr=_;sr<I;sr++)this.zoomInPaintVertexArray.emplace(sr,yt.tl[0],yt.tl[1],yt.br[0],yt.br[1],it.tl[0],it.tl[1],it.br[0],it.br[1],yt.pixelRatio,it.pixelRatio),this.zoomOutPaintVertexArray.emplace(sr,yt.tl[0],yt.tl[1],yt.br[0],yt.br[1],Lt.tl[0],Lt.tl[1],Lt.br[0],Lt.br[1],yt.pixelRatio,Lt.pixelRatio)}},Br.prototype.upload=function(_){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=_.createVertexBuffer(this.zoomInPaintVertexArray,D.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=_.createVertexBuffer(this.zoomOutPaintVertexArray,D.members,this.expression.isStateDependent))},Br.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Di=function(_,I,U){this.binders={},this._buffers=[];var $=[];for(var oe in 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it=oe[De],yt=oe[De+1],Lt=he[De],sr=he[De+1],gr=[it,yt,sr,Lt,it];so(I,gr)&&(U=Math.min(U,SS(I,gr)))}return U===1/0?!1:U}function MS(y,_,I,U){for(var $=[],oe=[],he=U[8]*_,De=U[9]*_,it=U[10]*_,yt=U[11]*_,Lt=U[8]*I,sr=U[9]*I,gr=U[10]*I,hr=U[11]*I,Rr=0,ni=y;Rr<ni.length;Rr+=1){for(var ji=ni[Rr],wi=[],bn=[],rn=0,xn=ji;rn<xn.length;rn+=1){var In=xn[rn],Xn=In.x,ga=In.y,ha=U[0]*Xn+U[4]*ga+U[12],eo=U[1]*Xn+U[5]*ga+U[13],qa=U[2]*Xn+U[6]*ga+U[14],Za=U[3]*Xn+U[7]*ga+U[15],Jo=ha+he,to=eo+De,ao=qa+it,_s=Za+yt,jo=ha+Lt,kl=eo+sr,Iu=qa+gr,Cl=Za+hr,Ll=new u(Jo/_s,to/_s);Ll.z=ao/_s,wi.push(Ll);var yl=new u(jo/Cl,kl/Cl);yl.z=Iu/Cl,bn.push(yl)}$.push(wi),oe.push(bn)}return[$,oe]}function fq(y,_,I,U){for(var $=[],oe=0,he=y;oe<he.length;oe+=1){var De=he[oe],it=[De.x,De.y,U,1];my(it,it,_),$.push(new u(it[0]/it[3],it[1]/it[3]))}return $}var 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U.id})};sh.prototype.populate=function(_,I,U){this.hasPattern=Jw(\"line\",this.layers,I);for(var $=this.layers[0].layout.get(\"line-sort-key\"),oe=[],he=0,De=_;he<De.length;he+=1){var it=De[he],yt=it.feature,Lt=it.id,sr=it.index,gr=it.sourceLayerIndex,hr=this.layers[0]._featureFilter.needGeometry,Rr=Ja(yt,hr);if(this.layers[0]._featureFilter.filter(new Un(this.zoom),Rr,U)){var ni=$?$.evaluate(Rr,{},U):void 0,ji={id:Lt,properties:yt.properties,type:yt.type,sourceLayerIndex:gr,index:sr,geometry:hr?Rr.geometry:zn(yt),patterns:{},sortKey:ni};oe.push(ji)}}$&&oe.sort(function(qa,Za){return qa.sortKey-Za.sortKey});for(var wi=0,bn=oe;wi<bn.length;wi+=1){var rn=bn[wi],xn=rn,In=xn.geometry,Xn=xn.index,ga=xn.sourceLayerIndex;if(this.hasPattern){var ha=sb(\"line\",this.layers,rn,this.zoom,I);this.patternFeatures.push(ha)}else this.addFeature(rn,In,Xn,U,{});var eo=_[Xn].feature;I.featureIndex.insert(eo,In,Xn,ga,this.index)}},sh.prototype.update=function(_,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(_,I,this.stateDependentLayers,U)},sh.prototype.addFeatures=function(_,I,U){for(var $=0,oe=this.patternFeatures;$<oe.length;$+=1){var he=oe[$];this.addFeature(he,he.geometry,he.index,I,U)}},sh.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},sh.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},sh.prototype.upload=function(_){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=_.createVertexBuffer(this.layoutVertexArray2,r6)),this.layoutVertexBuffer=_.createVertexBuffer(this.layoutVertexArray,t6),this.indexBuffer=_.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(_),this.uploaded=!0},sh.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},sh.prototype.lineFeatureClips=function(_){if(_.properties&&_.properties.hasOwnProperty(\"mapbox_clip_start\")&&_.properties.hasOwnProperty(\"mapbox_clip_end\")){var I=+_.properties.mapbox_clip_start,U=+_.properties.mapbox_clip_end;return{start:I,end:U}}},sh.prototype.addFeature=function(_,I,U,$,oe){var he=this.layers[0].layout,De=he.get(\"line-join\").evaluate(_,{}),it=he.get(\"line-cap\"),yt=he.get(\"line-miter-limit\"),Lt=he.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(_);for(var sr=0,gr=I;sr<gr.length;sr+=1){var hr=gr[sr];this.addLine(hr,_,De,it,yt,Lt)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,_,U,oe,$)},sh.prototype.addLine=function(_,I,U,$,oe,he){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var De=0;De<_.length-1;De++)this.totalDistance+=_[De].dist(_[De+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var it=ES[I.type]===\"Polygon\",yt=_.length;yt>=2&&_[yt-1].equals(_[yt-2]);)yt--;for(var Lt=0;Lt<yt-1&&_[Lt].equals(_[Lt+1]);)Lt++;if(!(yt<(it?3:2))){U===\"bevel\"&&(oe=1.05);var sr=this.overscaling<=16?cb*Ei/(512*this.overscaling):0,gr=this.segments.prepareSegment(yt*10,this.layoutVertexArray,this.indexArray),hr,Rr=void 0,ni=void 0,ji=void 0,wi=void 0;this.e1=this.e2=-1,it&&(hr=_[yt-2],wi=_[Lt].sub(hr)._unit()._perp());for(var bn=Lt;bn<yt;bn++)if(ni=bn===yt-1?it?_[Lt+1]:void 0:_[bn+1],!(ni&&_[bn].equals(ni))){wi&&(ji=wi),hr&&(Rr=hr),hr=_[bn],wi=ni?ni.sub(hr)._unit()._perp():ji,ji=ji||wi;var rn=ji.add(wi);(rn.x!==0||rn.y!==0)&&rn._unit();var xn=ji.x*wi.x+ji.y*wi.y,In=rn.x*wi.x+rn.y*wi.y,Xn=In!==0?1/In:1/0,ga=2*Math.sqrt(2-2*In),ha=In<i6&&Rr&&ni,eo=ji.x*wi.y-ji.y*wi.x>0;if(ha&&bn>Lt){var qa=hr.dist(Rr);if(qa>2*sr){var Za=hr.sub(hr.sub(Rr)._mult(sr/qa)._round());this.updateDistance(Rr,Za),this.addCurrentVertex(Za,ji,0,0,gr),Rr=Za}}var 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ni=De.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,ni),De.primitiveLength++),oe?this.e2=ni:this.e1=ni},sh.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},sh.prototype.updateDistance=function(_,I){this.distance+=_.dist(I),this.updateScaledDistance()},X(\"LineBucket\",sh,{omit:[\"layers\",\"patternFeatures\"]});var CS=new Or({\"line-cap\":new Me(Rn.layout_line[\"line-cap\"]),\"line-join\":new bt(Rn.layout_line[\"line-join\"]),\"line-miter-limit\":new Me(Rn.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Me(Rn.layout_line[\"line-round-limit\"]),\"line-sort-key\":new bt(Rn.layout_line[\"line-sort-key\"])}),LS=new Or({\"line-opacity\":new bt(Rn.paint_line[\"line-opacity\"]),\"line-color\":new bt(Rn.paint_line[\"line-color\"]),\"line-translate\":new 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y.push(this.readBoolean());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readBoolean());return y},readPackedFloat:function(y){if(this.type!==la.Bytes)return y.push(this.readFloat());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFloat());return y},readPackedDouble:function(y){if(this.type!==la.Bytes)return y.push(this.readDouble());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readDouble());return y},readPackedFixed32:function(y){if(this.type!==la.Bytes)return y.push(this.readFixed32());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFixed32());return y},readPackedSFixed32:function(y){if(this.type!==la.Bytes)return y.push(this.readSFixed32());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readSFixed32());return y},readPackedFixed64:function(y){if(this.type!==la.Bytes)return y.push(this.readFixed64());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFixed64());return y},readPackedSFixed64:function(y){if(this.type!==la.Bytes)return y.push(this.readSFixed64());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readSFixed64());return y},skip:function(y){var _=y&7;if(_===la.Varint)for(;this.buf[this.pos++]>127;);else if(_===la.Bytes)this.pos=this.readVarint()+this.pos;else if(_===la.Fixed32)this.pos+=4;else if(_===la.Fixed64)this.pos+=8;else throw new Error(\"Unimplemented type: \"+_)},writeTag:function(y,_){this.writeVarint(y<<3|_)},realloc:function(y){for(var _=this.length||16;_<this.pos+y;)_*=2;if(_!==this.length){var I=new Uint8Array(_);I.set(this.buf),this.buf=I,this.length=_}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(y){this.realloc(4),Df(this.buf,y,this.pos),this.pos+=4},writeSFixed32:function(y){this.realloc(4),Df(this.buf,y,this.pos),this.pos+=4},writeFixed64:function(y){this.realloc(8),Df(this.buf,y&-1,this.pos),Df(this.buf,Math.floor(y*fo),this.pos+4),this.pos+=8},writeSFixed64:function(y){this.realloc(8),Df(this.buf,y&-1,this.pos),Df(this.buf,Math.floor(y*fo),this.pos+4),this.pos+=8},writeVarint:function(y){if(y=+y||0,y>268435455||y<0){Ju(y,this);return}this.realloc(4),this.buf[this.pos++]=y&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=(y>>>=7)&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=(y>>>=7)&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=y>>>7&127)))},writeSVarint:function(y){this.writeVarint(y<0?-y*2-1:y*2)},writeBoolean:function(y){this.writeVarint(!!y)},writeString:function(y){y=String(y),this.realloc(y.length*4),this.pos++;var _=this.pos;this.pos=pc(this.buf,y,this.pos);var I=this.pos-_;I>=128&&Qv(_,I,this),this.pos=_-1,this.writeVarint(I),this.pos+=I},writeFloat:function(y){this.realloc(4),Vo.write(this.buf,y,this.pos,!0,23,4),this.pos+=4},writeDouble:function(y){this.realloc(8),Vo.write(this.buf,y,this.pos,!0,52,8),this.pos+=8},writeBytes:function(y){var _=y.length;this.writeVarint(_),this.realloc(_);for(var I=0;I<_;I++)this.buf[this.pos++]=y[I]},writeRawMessage:function(y,_){this.pos++;var I=this.pos;y(_,this);var U=this.pos-I;U>=128&&Qv(I,U,this),this.pos=I-1,this.writeVarint(U),this.pos+=U},writeMessage:function(y,_,I){this.writeTag(y,la.Bytes),this.writeRawMessage(_,I)},writePackedVarint:function(y,_){_.length&&this.writeMessage(y,ud,_)},writePackedSVarint:function(y,_){_.length&&this.writeMessage(y,Ch,_)},writePackedBoolean:function(y,_){_.length&&this.writeMessage(y,jd,_)},writePackedFloat:function(y,_){_.length&&this.writeMessage(y,Gd,_)},writePackedDouble:function(y,_){_.length&&this.writeMessage(y,Hd,_)},writePackedFixed32:function(y,_){_.length&&this.writeMessage(y,Af,_)},writePackedSFixed32:function(y,_){_.length&&this.writeMessage(y,Lh,_)},writePackedFixed64:function(y,_){_.length&&this.writeMessage(y,Ed,_)},writePackedSFixed64:function(y,_){_.length&&this.writeMessage(y,cd,_)},writeBytesField:function(y,_){this.writeTag(y,la.Bytes),this.writeBytes(_)},writeFixed32Field:function(y,_){this.writeTag(y,la.Fixed32),this.writeFixed32(_)},writeSFixed32Field:function(y,_){this.writeTag(y,la.Fixed32),this.writeSFixed32(_)},writeFixed64Field:function(y,_){this.writeTag(y,la.Fixed64),this.writeFixed64(_)},writeSFixed64Field:function(y,_){this.writeTag(y,la.Fixed64),this.writeSFixed64(_)},writeVarintField:function(y,_){this.writeTag(y,la.Varint),this.writeVarint(_)},writeSVarintField:function(y,_){this.writeTag(y,la.Varint),this.writeSVarint(_)},writeStringField:function(y,_){this.writeTag(y,la.Bytes),this.writeString(_)},writeFloatField:function(y,_){this.writeTag(y,la.Fixed32),this.writeFloat(_)},writeDoubleField:function(y,_){this.writeTag(y,la.Fixed64),this.writeDouble(_)},writeBooleanField:function(y,_){this.writeVarintField(y,!!_)}};function Ro(y,_,I){var U=I.buf,$,oe;if(oe=U[I.pos++],$=(oe&112)>>4,oe<128||(oe=U[I.pos++],$|=(oe&127)<<3,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<10,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<17,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<24,oe<128)||(oe=U[I.pos++],$|=(oe&1)<<31,oe<128))return $o(y,$,_);throw new Error(\"Expected varint not more than 10 bytes\")}function uo(y){return y.type===la.Bytes?y.readVarint()+y.pos:y.pos+1}function $o(y,_,I){return I?_*4294967296+(y>>>0):(_>>>0)*4294967296+(y>>>0)}function Ju(y,_){var I,U;if(y>=0?(I=y%4294967296|0,U=y/4294967296|0):(I=~(-y%4294967296),U=~(-y/4294967296),I^4294967295?I=I+1|0:(I=0,U=U+1|0)),y>=18446744073709552e3||y<-18446744073709552e3)throw new Error(\"Given varint doesn't fit into 10 bytes\");_.realloc(10),Ou(I,U,_),kh(U,_)}function Ou(y,_,I){I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos]=y&127}function kh(y,_){var I=(y&7)<<4;_.buf[_.pos++]|=I|((y>>>=3)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127)))))}function Qv(y,_,I){var U=_<=16383?1:_<=2097151?2:_<=268435455?3:Math.floor(Math.log(_)/(Math.LN2*7));I.realloc(U);for(var $=I.pos-1;$>=y;$--)I.buf[$+U]=I.buf[$]}function ud(y,_){for(var I=0;I<y.length;I++)_.writeVarint(y[I])}function Ch(y,_){for(var I=0;I<y.length;I++)_.writeSVarint(y[I])}function Gd(y,_){for(var I=0;I<y.length;I++)_.writeFloat(y[I])}function Hd(y,_){for(var I=0;I<y.length;I++)_.writeDouble(y[I])}function jd(y,_){for(var I=0;I<y.length;I++)_.writeBoolean(y[I])}function Af(y,_){for(var I=0;I<y.length;I++)_.writeFixed32(y[I])}function Lh(y,_){for(var I=0;I<y.length;I++)_.writeSFixed32(y[I])}function Ed(y,_){for(var I=0;I<y.length;I++)_.writeFixed64(y[I])}function cd(y,_){for(var I=0;I<y.length;I++)_.writeSFixed64(y[I])}function Yh(y,_){return(y[_]|y[_+1]<<8|y[_+2]<<16)+y[_+3]*16777216}function Df(y,_,I){y[I]=_,y[I+1]=_>>>8,y[I+2]=_>>>16,y[I+3]=_>>>24}function Fv(y,_){return(y[_]|y[_+1]<<8|y[_+2]<<16)+(y[_+3]<<24)}function uv(y,_,I){for(var U=\"\",$=_;$<I;){var oe=y[$],he=null,De=oe>239?4:oe>223?3:oe>191?2:1;if($+De>I)break;var it,yt,Lt;De===1?oe<128&&(he=oe):De===2?(it=y[$+1],(it&192)===128&&(he=(oe&31)<<6|it&63,he<=127&&(he=null))):De===3?(it=y[$+1],yt=y[$+2],(it&192)===128&&(yt&192)===128&&(he=(oe&15)<<12|(it&63)<<6|yt&63,(he<=2047||he>=55296&&he<=57343)&&(he=null))):De===4&&(it=y[$+1],yt=y[$+2],Lt=y[$+3],(it&192)===128&&(yt&192)===128&&(Lt&192)===128&&(he=(oe&15)<<18|(it&63)<<12|(yt&63)<<6|Lt&63,(he<=65535||he>=1114112)&&(he=null))),he===null?(he=65533,De=1):he>65535&&(he-=65536,U+=String.fromCharCode(he>>>10&1023|55296),he=56320|he&1023),U+=String.fromCharCode(he),$+=De}return U}function ru(y,_,I){return Wn.decode(y.subarray(_,I))}function pc(y,_,I){for(var U=0,$,oe;U<_.length;U++){if($=_.charCodeAt(U),$>55295&&$<57344)if(oe)if($<56320){y[I++]=239,y[I++]=191,y[I++]=189,oe=$;continue}else $=oe-55296<<10|$-56320|65536,oe=null;else{$>56319||U+1===_.length?(y[I++]=239,y[I++]=191,y[I++]=189):oe=$;continue}else oe&&(y[I++]=239,y[I++]=191,y[I++]=189,oe=null);$<128?y[I++]=$:($<2048?y[I++]=$>>6|192:($<65536?y[I++]=$>>12|224:(y[I++]=$>>18|240,y[I++]=$>>12&63|128),y[I++]=$>>6&63|128),y[I++]=$&63|128)}return I}var $u=3;function zv(y,_,I){y===1&&I.readMessage(hf,_)}function hf(y,_,I){if(y===3){var U=I.readMessage(B1,{}),$=U.id,oe=U.bitmap,he=U.width,De=U.height,it=U.left,yt=U.top,Lt=U.advance;_.push({id:$,bitmap:new Dv({width:he+2*$u,height:De+2*$u},oe),metrics:{width:he,height:De,left:it,top:yt,advance:Lt}})}}function B1(y,_,I){y===1?_.id=I.readVarint():y===2?_.bitmap=I.readBytes():y===3?_.width=I.readVarint():y===4?_.height=I.readVarint():y===5?_.left=I.readSVarint():y===6?_.top=I.readSVarint():y===7&&(_.advance=I.readVarint())}function p0(y){return new Xa(y).readFields(zv,[])}var Gp=$u;function ep(y){for(var _=0,I=0,U=0,$=y;U<$.length;U+=1){var oe=$[U];_+=oe.w*oe.h,I=Math.max(I,oe.w)}y.sort(function(ji,wi){return wi.h-ji.h});for(var he=Math.max(Math.ceil(Math.sqrt(_/.95)),I),De=[{x:0,y:0,w:he,h:1/0}],it=0,yt=0,Lt=0,sr=y;Lt<sr.length;Lt+=1)for(var gr=sr[Lt],hr=De.length-1;hr>=0;hr--){var Rr=De[hr];if(!(gr.w>Rr.w||gr.h>Rr.h)){if(gr.x=Rr.x,gr.y=Rr.y,yt=Math.max(yt,gr.y+gr.h),it=Math.max(it,gr.x+gr.w),gr.w===Rr.w&&gr.h===Rr.h){var ni=De.pop();hr<De.length&&(De[hr]=ni)}else gr.h===Rr.h?(Rr.x+=gr.w,Rr.w-=gr.w):gr.w===Rr.w?(Rr.y+=gr.h,Rr.h-=gr.h):(De.push({x:Rr.x+gr.w,y:Rr.y,w:Rr.w-gr.w,h:gr.h}),Rr.y+=gr.h,Rr.h-=gr.h);break}}return{w:it,h:yt,fill:_/(it*yt)||0}}var Gc=1,Yf=function(_,I){var U=I.pixelRatio,$=I.version,oe=I.stretchX,he=I.stretchY,De=I.content;this.paddedRect=_,this.pixelRatio=U,this.stretchX=oe,this.stretchY=he,this.content=De,this.version=$},tp={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};tp.tl.get=function(){return[this.paddedRect.x+Gc,this.paddedRect.y+Gc]},tp.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-Gc,this.paddedRect.y+this.paddedRect.h-Gc]},tp.tlbr.get=function(){return this.tl.concat(this.br)},tp.displaySize.get=function(){return[(this.paddedRect.w-Gc*2)/this.pixelRatio,(this.paddedRect.h-Gc*2)/this.pixelRatio]},Object.defineProperties(Yf.prototype,tp);var yg=function(_,I){var U={},$={};this.haveRenderCallbacks=[];var oe=[];this.addImages(_,U,oe),this.addImages(I,$,oe);var he=ep(oe),De=he.w,it=he.h,yt=new Eh({width:De||1,height:it||1});for(var Lt in _){var sr=_[Lt],gr=U[Lt].paddedRect;Eh.copy(sr.data,yt,{x:0,y:0},{x:gr.x+Gc,y:gr.y+Gc},sr.data)}for(var hr in I){var Rr=I[hr],ni=$[hr].paddedRect,ji=ni.x+Gc,wi=ni.y+Gc,bn=Rr.data.width,rn=Rr.data.height;Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji,y:wi},Rr.data),Eh.copy(Rr.data,yt,{x:0,y:rn-1},{x:ji,y:wi-1},{width:bn,height:1}),Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji,y:wi+rn},{width:bn,height:1}),Eh.copy(Rr.data,yt,{x:bn-1,y:0},{x:ji-1,y:wi},{width:1,height:rn}),Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji+bn,y:wi},{width:1,height:rn})}this.image=yt,this.iconPositions=U,this.patternPositions=$};yg.prototype.addImages=function(_,I,U){for(var $ in _){var oe=_[$],he={x:0,y:0,w:oe.data.width+2*Gc,h:oe.data.height+2*Gc};U.push(he),I[$]=new Yf(he,oe),oe.hasRenderCallback&&this.haveRenderCallbacks.push($)}},yg.prototype.patchUpdatedImages=function(_,I){_.dispatchRenderCallbacks(this.haveRenderCallbacks);for(var U in 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oe=_.sections[$];oe.image?U.addImageSection(oe):U.addTextSection(oe,I)}return U},Kh.prototype.length=function(){return this.text.length},Kh.prototype.getSection=function(_){return this.sections[this.sectionIndex[_]]},Kh.prototype.getSectionIndex=function(_){return this.sectionIndex[_]},Kh.prototype.getCharCode=function(_){return this.text.charCodeAt(_)},Kh.prototype.verticalizePunctuation=function(){this.text=ln(this.text)},Kh.prototype.trim=function(){for(var _=0,I=0;I<this.text.length&&m0[this.text.charCodeAt(I)];I++)_++;for(var U=this.text.length,$=this.text.length-1;$>=0&&$>=_&&m0[this.text.charCodeAt($)];$--)U--;this.text=this.text.substring(_,U),this.sectionIndex=this.sectionIndex.slice(_,U)},Kh.prototype.substring=function(_,I){var U=new Kh;return U.text=this.text.substring(_,I),U.sectionIndex=this.sectionIndex.slice(_,I),U.sections=this.sections,U},Kh.prototype.toString=function(){return this.text},Kh.prototype.getMaxScale=function(){var _=this;return this.sectionIndex.reduce(function(I,U){return Math.max(I,_.sections[U].scale)},0)},Kh.prototype.addTextSection=function(_,I){this.text+=_.text,this.sections.push(by.forText(_.scale,_.fontStack||I));for(var U=this.sections.length-1,$=0;$<_.text.length;++$)this.sectionIndex.push(U)},Kh.prototype.addImageSection=function(_){var I=_.image?_.image.name:\"\";if(I.length===0){re(\"Can't add FormattedSection with an empty image.\");return}var U=this.getNextImageSectionCharCode();if(!U){re(\"Reached maximum number of images \"+(g0-r3+2));return}this.text+=String.fromCharCode(U),this.sections.push(by.forImage(I)),this.sectionIndex.push(this.sections.length-1)},Kh.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=g0?null:++this.imageSectionID:(this.imageSectionID=r3,this.imageSectionID)};function vq(y,_){for(var I=[],U=y.text,$=0,oe=0,he=_;oe<he.length;oe+=1){var De=he[oe];I.push(y.substring($,De)),$=De}return 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I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=xp(this.zoom,U[\"text-size\"]),this.iconSizeData=xp(this.zoom,U[\"icon-size\"]);var $=this.layers[0].layout,oe=$.get(\"symbol-sort-key\"),he=$.get(\"symbol-z-order\");this.canOverlap=$.get(\"text-allow-overlap\")||$.get(\"icon-allow-overlap\")||$.get(\"text-ignore-placement\")||$.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=he!==\"viewport-y\"&&oe.constantOr(1)!==void 0;var De=he===\"viewport-y\"||he===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=De&&this.canOverlap,$.get(\"symbol-placement\")===\"point\"&&(this.writingModes=$.get(\"text-writing-mode\").map(function(it){return cv[it]})),this.stateDependentLayerIds=this.layers.filter(function(it){return it.isStateDependent()}).map(function(it){return it.id}),this.sourceID=_.sourceID};Pu.prototype.createArrays=function(){this.text=new u3(new ci(this.layers,this.zoom,function(_){return/^text/.test(_)})),this.icon=new u3(new ci(this.layers,this.zoom,function(_){return/^icon/.test(_)})),this.glyphOffsetArray=new Ul,this.lineVertexArray=new ss,this.symbolInstances=new nl},Pu.prototype.calculateGlyphDependencies=function(_,I,U,$,oe){for(var he=0;he<_.length;he++)if(I[_.charCodeAt(he)]=!0,(U||$)&&oe){var De=zi[_.charAt(he)];De&&(I[De.charCodeAt(0)]=!0)}},Pu.prototype.populate=function(_,I,U){var $=this.layers[0],oe=$.layout,he=oe.get(\"text-font\"),De=oe.get(\"text-field\"),it=oe.get(\"icon-image\"),yt=(De.value.kind!==\"constant\"||De.value.value instanceof $l&&!De.value.value.isEmpty()||De.value.value.toString().length>0)&&(he.value.kind!==\"constant\"||he.value.value.length>0),Lt=it.value.kind!==\"constant\"||!!it.value.value||Object.keys(it.parameters).length>0,sr=oe.get(\"symbol-sort-key\");if(this.features=[],!(!yt&&!Lt)){for(var gr=I.iconDependencies,hr=I.glyphDependencies,Rr=I.availableImages,ni=new Un(this.zoom),ji=0,wi=_;ji<wi.length;ji+=1){var bn=wi[ji],rn=bn.feature,xn=bn.id,In=bn.index,Xn=bn.sourceLayerIndex,ga=$._featureFilter.needGeometry,ha=Ja(rn,ga);if($._featureFilter.filter(ni,ha,U)){ga||(ha.geometry=zn(rn));var eo=void 0;if(yt){var qa=$.getValueAndResolveTokens(\"text-field\",ha,U,Rr),Za=$l.factory(qa);itt(Za)&&(this.hasRTLText=!0),(!this.hasRTLText||yo()===\"unavailable\"||this.hasRTLText&&Ms.isParsed())&&(eo=pi(Za,$,ha))}var Jo=void 0;if(Lt){var to=$.getValueAndResolveTokens(\"icon-image\",ha,U,Rr);to instanceof fl?Jo=to:Jo=fl.fromString(to)}if(!(!eo&&!Jo)){var ao=this.sortFeaturesByKey?sr.evaluate(ha,{},U):void 0,_s={id:xn,text:eo,icon:Jo,index:In,sourceLayerIndex:Xn,geometry:ha.geometry,properties:rn.properties,type:ttt[rn.type],sortKey:ao};if(this.features.push(_s),Jo&&(gr[Jo.name]=!0),eo){var jo=he.evaluate(ha,{},U).join(\",\"),kl=oe.get(\"text-rotation-alignment\")===\"map\"&&oe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cv.vertical)>=0;for(var Iu=0,Cl=eo.sections;Iu<Cl.length;Iu+=1){var Ll=Cl[Iu];if(Ll.image)gr[Ll.image.name]=!0;else{var yl=Xt(eo.toString()),Qu=Ll.fontStack||jo,gc=hr[Qu]=hr[Qu]||{};this.calculateGlyphDependencies(Ll.text,gc,kl,this.allowVerticalPlacement,yl)}}}}}}oe.get(\"symbol-placement\")===\"line\"&&(this.features=vn(this.features)),this.sortFeaturesByKey&&this.features.sort(function(Sf,Ff){return Sf.sortKey-Ff.sortKey})}},Pu.prototype.update=function(_,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(_,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(_,I,this.layers,U))},Pu.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},Pu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Pu.prototype.upload=function(_){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(_),this.iconCollisionBox.upload(_)),this.text.upload(_,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(_,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Pu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Pu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Pu.prototype.addToLineVertexArray=function(_,I){var U=this.lineVertexArray.length;if(_.segment!==void 0){for(var $=_.dist(I[_.segment+1]),oe=_.dist(I[_.segment]),he={},De=_.segment+1;De<I.length;De++)he[De]={x:I[De].x,y:I[De].y,tileUnitDistanceFromAnchor:$},De<I.length-1&&($+=I[De+1].dist(I[De]));for(var it=_.segment||0;it>=0;it--)he[it]={x:I[it].x,y:I[it].y,tileUnitDistanceFromAnchor:oe},it>0&&(oe+=I[it-1].dist(I[it]));for(var yt=0;yt<I.length;yt++){var Lt=he[yt];this.lineVertexArray.emplaceBack(Lt.x,Lt.y,Lt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},Pu.prototype.addSymbols=function(_,I,U,$,oe,he,De,it,yt,Lt,sr,gr){for(var hr=_.indexArray,Rr=_.layoutVertexArray,ni=_.segments.prepareSegment(4*I.length,Rr,hr,this.canOverlap?he.sortKey:void 0),ji=this.glyphOffsetArray.length,wi=ni.vertexLength,bn=this.allowVerticalPlacement&&De===cv.vertical?Math.PI/2:0,rn=he.text&&he.text.sections,xn=0;xn<I.length;xn++){var In=I[xn],Xn=In.tl,ga=In.tr,ha=In.bl,eo=In.br,qa=In.tex,Za=In.pixelOffsetTL,Jo=In.pixelOffsetBR,to=In.minFontScaleX,ao=In.minFontScaleY,_s=In.glyphOffset,jo=In.isSDF,kl=In.sectionIndex,Iu=ni.vertexLength,Cl=_s[1];f6(Rr,it.x,it.y,Xn.x,Cl+Xn.y,qa.x,qa.y,U,jo,Za.x,Za.y,to,ao),f6(Rr,it.x,it.y,ga.x,Cl+ga.y,qa.x+qa.w,qa.y,U,jo,Jo.x,Za.y,to,ao),f6(Rr,it.x,it.y,ha.x,Cl+ha.y,qa.x,qa.y+qa.h,U,jo,Za.x,Jo.y,to,ao),f6(Rr,it.x,it.y,eo.x,Cl+eo.y,qa.x+qa.w,qa.y+qa.h,U,jo,Jo.x,Jo.y,to,ao),bq(_.dynamicLayoutVertexArray,it,bn),hr.emplaceBack(Iu,Iu+1,Iu+2),hr.emplaceBack(Iu+1,Iu+2,Iu+3),ni.vertexLength+=4,ni.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(_s[0]),(xn===I.length-1||kl!==I[xn+1].sectionIndex)&&_.programConfigurations.populatePaintArrays(Rr.length,he,he.index,{},gr,rn&&rn[kl])}_.placedSymbolArray.emplaceBack(it.x,it.y,ji,this.glyphOffsetArray.length-ji,wi,yt,Lt,it.segment,U?U[0]:0,U?U[1]:0,$[0],$[1],De,0,!1,0,sr)},Pu.prototype._addCollisionDebugVertex=function(_,I,U,$,oe,he){return I.emplaceBack(0,0),_.emplaceBack(U.x,U.y,$,oe,Math.round(he.x),Math.round(he.y))},Pu.prototype.addCollisionDebugVertices=function(_,I,U,$,oe,he,De){var it=oe.segments.prepareSegment(4,oe.layoutVertexArray,oe.indexArray),yt=it.vertexLength,Lt=oe.layoutVertexArray,sr=oe.collisionVertexArray,gr=De.anchorX,hr=De.anchorY;this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(_,I)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(U,I)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(U,$)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(_,$)),it.vertexLength+=4;var Rr=oe.indexArray;Rr.emplaceBack(yt,yt+1),Rr.emplaceBack(yt+1,yt+2),Rr.emplaceBack(yt+2,yt+3),Rr.emplaceBack(yt+3,yt),it.primitiveLength+=4},Pu.prototype.addDebugCollisionBoxes=function(_,I,U,$){for(var oe=_;oe<I;oe++){var he=this.collisionBoxArray.get(oe),De=he.x1,it=he.y1,yt=he.x2,Lt=he.y2;this.addCollisionDebugVertices(De,it,yt,Lt,$?this.textCollisionBox:this.iconCollisionBox,he.anchorPoint,U)}},Pu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new DS(Ji,ft.members,sa),this.iconCollisionBox=new DS(Ji,ft.members,sa);for(var _=0;_<this.symbolInstances.length;_++){var I=this.symbolInstances.get(_);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},Pu.prototype._deserializeCollisionBoxesForSymbol=function(_,I,U,$,oe,he,De,it,yt){for(var Lt={},sr=I;sr<U;sr++){var gr=_.get(sr);Lt.textBox={x1:gr.x1,y1:gr.y1,x2:gr.x2,y2:gr.y2,anchorPointX:gr.anchorPointX,anchorPointY:gr.anchorPointY},Lt.textFeatureIndex=gr.featureIndex;break}for(var hr=$;hr<oe;hr++){var Rr=_.get(hr);Lt.verticalTextBox={x1:Rr.x1,y1:Rr.y1,x2:Rr.x2,y2:Rr.y2,anchorPointX:Rr.anchorPointX,anchorPointY:Rr.anchorPointY},Lt.verticalTextFeatureIndex=Rr.featureIndex;break}for(var ni=he;ni<De;ni++){var ji=_.get(ni);Lt.iconBox={x1:ji.x1,y1:ji.y1,x2:ji.x2,y2:ji.y2,anchorPointX:ji.anchorPointX,anchorPointY:ji.anchorPointY},Lt.iconFeatureIndex=ji.featureIndex;break}for(var wi=it;wi<yt;wi++){var bn=_.get(wi);Lt.verticalIconBox={x1:bn.x1,y1:bn.y1,x2:bn.x2,y2:bn.y2,anchorPointX:bn.anchorPointX,anchorPointY:bn.anchorPointY},Lt.verticalIconFeatureIndex=bn.featureIndex;break}return Lt},Pu.prototype.deserializeCollisionBoxes=function(_){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(_,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},Pu.prototype.hasTextData=function(){return this.text.segments.get().length>0},Pu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Pu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Pu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Pu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Pu.prototype.addIndicesForPlacedSymbol=function(_,I){for(var U=_.placedSymbolArray.get(I),$=U.vertexStartIndex+U.numGlyphs*4,oe=U.vertexStartIndex;oe<$;oe+=4)_.indexArray.emplaceBack(oe,oe+1,oe+2),_.indexArray.emplaceBack(oe+1,oe+2,oe+3)},Pu.prototype.getSortedSymbolIndexes=function(_){if(this.sortedAngle===_&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(_),U=Math.cos(_),$=[],oe=[],he=[],De=0;De<this.symbolInstances.length;++De){he.push(De);var it=this.symbolInstances.get(De);$.push(Math.round(I*it.anchorX+U*it.anchorY)|0),oe.push(it.featureIndex)}return he.sort(function(yt,Lt){return $[yt]-$[Lt]||oe[Lt]-oe[yt]}),he},Pu.prototype.addToSortKeyRanges=function(_,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=_+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:_,symbolInstanceEnd:_+1})},Pu.prototype.sortFeatures=function(_){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==_&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(_),this.sortedAngle=_,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,$=this.symbolInstanceIndexes;U<$.length;U+=1){var oe=$[U],he=this.symbolInstances.get(oe);this.featureSortOrder.push(he.featureIndex),[he.rightJustifiedTextSymbolIndex,he.centerJustifiedTextSymbolIndex,he.leftJustifiedTextSymbolIndex].forEach(function(De,it,yt){De>=0&&yt.indexOf(De)===it&&I.addIndicesForPlacedSymbol(I.text,De)}),he.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,he.verticalPlacedTextSymbolIndex),he.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.placedIconSymbolIndex),he.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},X(\"SymbolBucket\",Pu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Pu.MAX_GLYPHS=65535,Pu.addDynamicAttributes=bq;function ntt(y,_){return _.replace(/{([^{}]+)}/g,function(I,U){return U in y?String(y[U]):\"\"})}var att=new Or({\"symbol-placement\":new Me(Rn.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Me(Rn.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Me(Rn.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new bt(Rn.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Me(Rn.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Me(Rn.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Me(Rn.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Me(Rn.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Me(Rn.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new bt(Rn.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Me(Rn.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Me(Rn.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new bt(Rn.layout_symbol[\"icon-image\"]),\"icon-rotate\":new bt(Rn.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Me(Rn.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Me(Rn.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new bt(Rn.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new bt(Rn.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Me(Rn.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Me(Rn.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Me(Rn.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new bt(Rn.layout_symbol[\"text-field\"]),\"text-font\":new bt(Rn.layout_symbol[\"text-font\"]),\"text-size\":new bt(Rn.layout_symbol[\"text-size\"]),\"text-max-width\":new bt(Rn.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Me(Rn.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new bt(Rn.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new bt(Rn.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new bt(Rn.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Me(Rn.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new bt(Rn.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Me(Rn.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Me(Rn.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new bt(Rn.layout_symbol[\"text-rotate\"]),\"text-padding\":new Me(Rn.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Me(Rn.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new bt(Rn.layout_symbol[\"text-transform\"]),\"text-offset\":new bt(Rn.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Me(Rn.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Me(Rn.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Me(Rn.layout_symbol[\"text-optional\"])}),ott=new Or({\"icon-opacity\":new bt(Rn.paint_symbol[\"icon-opacity\"]),\"icon-color\":new bt(Rn.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new bt(Rn.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new bt(Rn.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new bt(Rn.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Me(Rn.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Me(Rn.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new bt(Rn.paint_symbol[\"text-opacity\"]),\"text-color\":new bt(Rn.paint_symbol[\"text-color\"],{runtimeType:ql,getOverride:function(y){return y.textColor},hasOverride:function(y){return!!y.textColor}}),\"text-halo-color\":new bt(Rn.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new bt(Rn.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new bt(Rn.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Me(Rn.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Me(Rn.paint_symbol[\"text-translate-anchor\"])}),wq={paint:ott,layout:att},c3=function(_){this.type=_.property.overrides?_.property.overrides.runtimeType:ac,this.defaultValue=_};c3.prototype.evaluate=function(_){if(_.formattedSection){var I=this.defaultValue.property.overrides;if(I&&I.hasOverride(_.formattedSection))return I.getOverride(_.formattedSection)}return _.feature&&_.featureState?this.defaultValue.evaluate(_.feature,_.featureState):this.defaultValue.property.specification.default},c3.prototype.eachChild=function(_){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;_(I._styleExpression.expression)}},c3.prototype.outputDefined=function(){return!1},c3.prototype.serialize=function(){return null},X(\"FormatSectionOverride\",c3,{omit:[\"defaultValue\"]});var stt=(function(y){function _(I){y.call(this,I,wq)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_.prototype.recalculate=function(U,$){if(y.prototype.recalculate.call(this,U,$),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var oe=this.layout.get(\"text-writing-mode\");if(oe){for(var he=[],De=0,it=oe;De<it.length;De+=1){var yt=it[De];he.indexOf(yt)<0&&he.push(yt)}this.layout._values[\"text-writing-mode\"]=he}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},_.prototype.getValueAndResolveTokens=function(U,$,oe,he){var De=this.layout.get(U).evaluate($,{},oe,he),it=this._unevaluatedLayout._values[U];return!it.isDataDriven()&&!Va(it.value)&&De?ntt($.properties,De):De},_.prototype.createBucket=function(U){return new Pu(U)},_.prototype.queryRadius=function(){return 0},_.prototype.queryIntersectsFeature=function(){return!1},_.prototype._setPaintOverrides=function(){for(var U=0,$=wq.paint.overridableProperties;U<$.length;U+=1){var oe=$[U];if(_.hasPaintOverride(this.layout,oe)){var he=this.paint.get(oe),De=new c3(he),it=new Ac(De,he.property.specification),yt=null;he.value.kind===\"constant\"||he.value.kind===\"source\"?yt=new Vc(\"source\",it):yt=new hc(\"composite\",it,he.value.zoomStops,he.value._interpolationType),this.paint._values[oe]=new dl(he.property,yt,he.parameters)}}},_.prototype._handleOverridablePaintPropertyUpdate=function(U,$,oe){return!this.layout||$.isDataDriven()||oe.isDataDriven()?!1:_.hasPaintOverride(this.layout,U)},_.hasPaintOverride=function(U,$){var oe=U.get(\"text-field\"),he=wq.paint.properties[$],De=!1,it=function(sr){for(var gr=0,hr=sr;gr<hr.length;gr+=1){var Rr=hr[gr];if(he.overrides&&he.overrides.hasOverride(Rr)){De=!0;return}}};if(oe.value.kind===\"constant\"&&oe.value.value instanceof $l)it(oe.value.value.sections);else if(oe.value.kind===\"source\"){var yt=function(sr){if(!De)if(sr instanceof Go&&Es(sr.value)===pl){var gr=sr.value;it(gr.sections)}else sr instanceof Gu?it(sr.sections):sr.eachChild(yt)},Lt=oe.value;Lt._styleExpression&&yt(Lt._styleExpression.expression)}return De},_})(vi),ltt=new Or({\"background-color\":new Me(Rn.paint_background[\"background-color\"]),\"background-pattern\":new Lr(Rn.paint_background[\"background-pattern\"]),\"background-opacity\":new Me(Rn.paint_background[\"background-opacity\"])}),utt={paint:ltt},ctt=(function(y){function _(I){y.call(this,I,utt)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_})(vi),ftt=new Or({\"raster-opacity\":new Me(Rn.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Me(Rn.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Me(Rn.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Me(Rn.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Me(Rn.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Me(Rn.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Me(Rn.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Me(Rn.paint_raster[\"raster-fade-duration\"])}),htt={paint:ftt},dtt=(function(y){function _(I){y.call(this,I,htt)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_})(vi);function vtt(y){var _=[],I=y.id;return I===void 0&&_.push({message:\"layers.\"+I+': missing required property \"id\"'}),y.render===void 0&&_.push({message:\"layers.\"+I+': missing required method \"render\"'}),y.renderingMode&&y.renderingMode!==\"2d\"&&y.renderingMode!==\"3d\"&&_.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),_}var ptt=(function(y){function _(I){y.call(this,I,{}),this.implementation=I}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},_.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 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I={};if(!_)return I;for(var U=function(){var he=oe[$],De=he.layerIds.map(function(sr){return _.getLayer(sr)}).filter(Boolean);if(De.length!==0){he.layers=De,he.stateDependentLayerIds&&(he.stateDependentLayers=he.stateDependentLayerIds.map(function(sr){return De.filter(function(gr){return gr.id===sr})[0]}));for(var it=0,yt=De;it<yt.length;it+=1){var Lt=yt[it];I[Lt.id]=he}}},$=0,oe=y;$<oe.length;$+=1)U();return I}var d6=function(_){this._stringToNumber={},this._numberToString=[];for(var I=0;I<_.length;I++){var U=_[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};d6.prototype.encode=function(_){return this._stringToNumber[_]},d6.prototype.decode=function(_){return this._numberToString[_]};var v6=function(_,I,U,$,oe){this.type=\"Feature\",this._vectorTileFeature=_,_._z=I,_._x=U,_._y=$,this.properties=_.properties,this.id=oe},Sq={geometry:{configurable:!0}};Sq.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Sq.geometry.set=function(y){this._geometry=y},v6.prototype.toJSON=function(){var _={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(_[I]=this[I]);return _},Object.defineProperties(v6.prototype,Sq);var h3=function(){this.state={},this.stateChanges={},this.deletedStates={}};h3.prototype.updateState=function(_,I,U){var $=String(I);if(this.stateChanges[_]=this.stateChanges[_]||{},this.stateChanges[_][$]=this.stateChanges[_][$]||{},x(this.stateChanges[_][$],U),this.deletedStates[_]===null){this.deletedStates[_]={};for(var oe in this.state[_])oe!==$&&(this.deletedStates[_][oe]=null)}else{var he=this.deletedStates[_]&&this.deletedStates[_][$]===null;if(he){this.deletedStates[_][$]={};for(var De in this.state[_][$])U[De]||(this.deletedStates[_][$][De]=null)}else for(var it in U){var yt=this.deletedStates[_]&&this.deletedStates[_][$]&&this.deletedStates[_][$][it]===null;yt&&delete this.deletedStates[_][$][it]}}},h3.prototype.removeFeatureState=function(_,I,U){var $=this.deletedStates[_]===null;if(!$){var oe=String(I);if(this.deletedStates[_]=this.deletedStates[_]||{},U&&I!==void 0)this.deletedStates[_][oe]!==null&&(this.deletedStates[_][oe]=this.deletedStates[_][oe]||{},this.deletedStates[_][oe][U]=null);else if(I!==void 0){var he=this.stateChanges[_]&&this.stateChanges[_][oe];if(he){this.deletedStates[_][oe]={};for(U in this.stateChanges[_][oe])this.deletedStates[_][oe][U]=null}else this.deletedStates[_][oe]=null}else this.deletedStates[_]=null}},h3.prototype.getState=function(_,I){var U=String(I),$=this.state[_]||{},oe=this.stateChanges[_]||{},he=x({},$[U],oe[U]);if(this.deletedStates[_]===null)return{};if(this.deletedStates[_]){var De=this.deletedStates[_][I];if(De===null)return{};for(var it in De)delete he[it]}return he},h3.prototype.initializeTileState=function(_,I){_.setFeatureState(this.state,I)},h3.prototype.coalesceChanges=function(_,I){var U={};for(var $ in this.stateChanges){this.state[$]=this.state[$]||{};var oe={};for(var he in this.stateChanges[$])this.state[$][he]||(this.state[$][he]={}),x(this.state[$][he],this.stateChanges[$][he]),oe[he]=this.state[$][he];U[$]=oe}for(var De in this.deletedStates){this.state[De]=this.state[De]||{};var it={};if(this.deletedStates[De]===null)for(var yt in this.state[De])it[yt]={},this.state[De][yt]={};else for(var Lt in this.deletedStates[De]){var sr=this.deletedStates[De][Lt]===null;if(sr)this.state[De][Lt]={};else for(var gr=0,hr=Object.keys(this.deletedStates[De][Lt]);gr<hr.length;gr+=1){var Rr=hr[gr];delete this.state[De][Lt][Rr]}it[Lt]=this.state[De][Lt]}U[De]=U[De]||{},x(U[De],it)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var ni in _){var ji=_[ni];ji.setFeatureState(U,I)}};var Ty=function(_,I){this.tileID=_,this.x=_.canonical.x,this.y=_.canonical.y,this.z=_.canonical.z,this.grid=new au(Ei,16,0),this.grid3D=new au(Ei,16,0),this.featureIndexArray=new Ys,this.promoteId=I};Ty.prototype.insert=function(_,I,U,$,oe,he){var De=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,$,oe);for(var it=he?this.grid3D:this.grid,yt=0;yt<I.length;yt++){for(var Lt=I[yt],sr=[1/0,1/0,-1/0,-1/0],gr=0;gr<Lt.length;gr++){var hr=Lt[gr];sr[0]=Math.min(sr[0],hr.x),sr[1]=Math.min(sr[1],hr.y),sr[2]=Math.max(sr[2],hr.x),sr[3]=Math.max(sr[3],hr.y)}sr[0]<Ei&&sr[1]<Ei&&sr[2]>=0&&sr[3]>=0&&it.insert(De,sr[0],sr[1],sr[2],sr[3])}},Ty.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new mg.VectorTile(new Xa(this.rawTileData)).layers,this.sourceLayerCoder=new d6(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ty.prototype.query=function(_,I,U,$){var oe=this;this.loadVTLayers();for(var he=_.params||{},De=Ei/_.tileSize/_.scale,it=xe(he.filter),yt=_.queryGeometry,Lt=_.queryPadding*De,sr=pee(yt),gr=this.grid.query(sr.minX-Lt,sr.minY-Lt,sr.maxX+Lt,sr.maxY+Lt),hr=pee(_.cameraQueryGeometry),Rr=this.grid3D.query(hr.minX-Lt,hr.minY-Lt,hr.maxX+Lt,hr.maxY+Lt,function(Xn,ga,ha,eo){return mp(_.cameraQueryGeometry,Xn-Lt,ga-Lt,ha+Lt,eo+Lt)}),ni=0,ji=Rr;ni<ji.length;ni+=1){var wi=ji[ni];gr.push(wi)}gr.sort(Att);for(var bn={},rn,xn=function(Xn){var ga=gr[Xn];if(ga!==rn){rn=ga;var ha=oe.featureIndexArray.get(ga),eo=null;oe.loadMatchingFeature(bn,ha.bucketIndex,ha.sourceLayerIndex,ha.featureIndex,it,he.layers,he.availableImages,I,U,$,function(qa,Za,Jo){return eo||(eo=zn(qa)),Za.queryIntersectsFeature(yt,qa,Jo,eo,oe.z,_.transform,De,_.pixelPosMatrix)})}},In=0;In<gr.length;In++)xn(In);return bn},Ty.prototype.loadMatchingFeature=function(_,I,U,$,oe,he,De,it,yt,Lt,sr){var gr=this.bucketLayerIDs[I];if(!(he&&!N(he,gr))){var hr=this.sourceLayerCoder.decode(U),Rr=this.vtLayers[hr],ni=Rr.feature($);if(oe.needGeometry){var ji=Ja(ni,!0);if(!oe.filter(new Un(this.tileID.overscaledZ),ji,this.tileID.canonical))return}else if(!oe.filter(new Un(this.tileID.overscaledZ),ni))return;for(var wi=this.getId(ni,hr),bn=0;bn<gr.length;bn++){var rn=gr[bn];if(!(he&&he.indexOf(rn)<0)){var xn=it[rn];if(xn){var In={};wi!==void 0&&Lt&&(In=Lt.getState(xn.sourceLayer||\"_geojsonTileLayer\",wi));var Xn=x({},yt[rn]);Xn.paint=vee(Xn.paint,xn.paint,ni,In,De),Xn.layout=vee(Xn.layout,xn.layout,ni,In,De);var ga=!sr||sr(ni,xn,In);if(ga){var ha=new v6(ni,this.z,this.x,this.y,wi);ha.layer=Xn;var eo=_[rn];eo===void 0&&(eo=_[rn]=[]),eo.push({featureIndex:$,feature:ha,intersectionZ:ga})}}}}}},Ty.prototype.lookupSymbolFeatures=function(_,I,U,$,oe,he,De,it){var yt={};this.loadVTLayers();for(var Lt=xe(oe),sr=0,gr=_;sr<gr.length;sr+=1){var hr=gr[sr];this.loadMatchingFeature(yt,U,$,hr,Lt,he,De,it,I)}return yt},Ty.prototype.hasLayer=function(_){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var $=U[I],oe=0,he=$;oe<he.length;oe+=1){var De=he[oe];if(_===De)return!0}return!1},Ty.prototype.getId=function(_,I){var U=_.id;if(this.promoteId){var $=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=_.properties[$],typeof U==\"boolean\"&&(U=Number(U))}return U},X(\"FeatureIndex\",Ty,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function vee(y,_,I,U,$){return G(y,function(oe,he){var De=_ instanceof Sc?_.get(he):null;return De&&De.evaluate?De.evaluate(I,U,$):De})}function pee(y){for(var _=1/0,I=1/0,U=-1/0,$=-1/0,oe=0,he=y;oe<he.length;oe+=1){var De=he[oe];_=Math.min(_,De.x),I=Math.min(I,De.y),U=Math.max(U,De.x),$=Math.max($,De.y)}return{minX:_,minY:I,maxX:U,maxY:$}}function Att(y,_){return _-y}var Stt=3e4,Jh=function(_,I){this.tileID=_,this.uid=g(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jh.prototype.registerFadeDuration=function(_){var I=_+this.timeAdded;I<lt.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Jh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Jh.prototype.loadVectorData=function(_,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!_){this.collisionBoxArray=new Ga;return}_.featureIndex&&(this.latestFeatureIndex=_.featureIndex,_.rawTileData?(this.latestRawTileData=_.rawTileData,this.latestFeatureIndex.rawTileData=_.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=_.collisionBoxArray,this.buckets=Ttt(_.buckets,I.style),this.hasSymbolBuckets=!1;for(var $ in this.buckets){var oe=this.buckets[$];if(oe instanceof Pu)if(this.hasSymbolBuckets=!0,U)oe.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var he in this.buckets){var De=this.buckets[he];if(De instanceof Pu&&De.hasRTLText){this.hasRTLText=!0,Xs();break}}this.queryPadding=0;for(var it in this.buckets){var yt=this.buckets[it];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(it).queryRadius(yt))}_.imageAtlas&&(this.imageAtlas=_.imageAtlas),_.glyphAtlasImage&&(this.glyphAtlasImage=_.glyphAtlasImage)},Jh.prototype.unloadVectorData=function(){for(var _ in this.buckets)this.buckets[_].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jh.prototype.getBucket=function(_){return this.buckets[_.id]},Jh.prototype.upload=function(_){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(_)}var $=_.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new db(_,this.imageAtlas.image,$.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new db(_,this.glyphAtlasImage,$.ALPHA),this.glyphAtlasImage=null)},Jh.prototype.prepare=function(_){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(_,this.imageAtlasTexture)},Jh.prototype.queryRenderedFeatures=function(_,I,U,$,oe,he,De,it,yt,Lt){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:$,cameraQueryGeometry:oe,scale:he,tileSize:this.tileSize,pixelPosMatrix:Lt,transform:it,params:De,queryPadding:this.queryPadding*yt},_,I,U)},Jh.prototype.querySourceFeatures=function(_,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var $=U.loadVTLayers(),oe=I?I.sourceLayer:\"\",he=$._geojsonTileLayer||$[oe];if(he)for(var De=xe(I&&I.filter),it=this.tileID.canonical,yt=it.z,Lt=it.x,sr=it.y,gr={z:yt,x:Lt,y:sr},hr=0;hr<he.length;hr++){var Rr=he.feature(hr);if(De.needGeometry){var ni=Ja(Rr,!0);if(!De.filter(new Un(this.tileID.overscaledZ),ni,this.tileID.canonical))continue}else if(!De.filter(new Un(this.tileID.overscaledZ),Rr))continue;var ji=U.getId(Rr,oe),wi=new v6(Rr,yt,Lt,sr,ji);wi.tile=gr,_.push(wi)}}},Jh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Jh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jh.prototype.setExpiryData=function(_){var I=this.expirationTime;if(_.cacheControl){var U=ge(_.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else _.expires&&(this.expirationTime=new Date(_.expires).getTime());if(this.expirationTime){var $=Date.now(),oe=!1;if(this.expirationTime>$)oe=!1;else if(!I)oe=!0;else if(this.expirationTime<I)oe=!0;else{var he=this.expirationTime-I;he?this.expirationTime=$+Math.max(he,Stt):oe=!0}oe?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)},Jh.prototype.setFeatureState=function(_,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(_).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var $ in this.buckets)if(I.style.hasLayer($)){var oe=this.buckets[$],he=oe.layers[0].sourceLayer||\"_geojsonTileLayer\",De=U[he],it=_[he];if(!(!De||!it||Object.keys(it).length===0)){oe.update(it,De,this.imageAtlas&&this.imageAtlas.patternPositions||{});var yt=I&&I.style&&I.style.getLayer($);yt&&(this.queryPadding=Math.max(this.queryPadding,yt.queryRadius(oe)))}}}},Jh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Jh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<lt.now()},Jh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jh.prototype.setHoldDuration=function(_){this.symbolFadeHoldUntil=lt.now()+_},Jh.prototype.setDependencies=function(_,I){for(var U={},$=0,oe=I;$<oe.length;$+=1){var he=oe[$];U[he]=!0}this.dependencies[_]=U},Jh.prototype.hasDependency=function(_,I){for(var U=0,$=_;U<$.length;U+=1){var oe=$[U],he=this.dependencies[oe];if(he)for(var De=0,it=I;De<it.length;De+=1){var yt=it[De];if(he[yt])return!0}}return!1};var Mtt=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],V1=f.performance,gee=function(_){this._marks={start:[_.url,\"start\"].join(\"#\"),end:[_.url,\"end\"].join(\"#\"),measure:_.url.toString()},V1.mark(this._marks.start)};gee.prototype.finish=function(){V1.mark(this._marks.end);var _=V1.getEntriesByName(this._marks.measure);return 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strict\";function a(Gt){var wt=typeof Gt;if(wt===\"number\"||wt===\"boolean\"||wt===\"string\"||Gt===void 0||Gt===null)return JSON.stringify(Gt);if(Array.isArray(Gt)){for(var tr=\"[\",ir=0,wr=Gt;ir<wr.length;ir+=1){var Xr=wr[ir];tr+=a(Xr)+\",\"}return tr+\"]\"}for(var ti=Object.keys(Gt).sort(),$r=\"{\",Ri=0;Ri<ti.length;Ri++)$r+=JSON.stringify(ti[Ri])+\":\"+a(Gt[ti[Ri]])+\",\";return $r+\"}\"}function o(Gt){for(var wt=\"\",tr=0,ir=i.refProperties;tr<ir.length;tr+=1){var wr=ir[tr];wt+=\"/\"+a(Gt[wr])}return wt}function s(Gt,wt){for(var tr={},ir=0;ir<Gt.length;ir++){var wr=wt&&wt[Gt[ir].id]||o(Gt[ir]);wt&&(wt[Gt[ir].id]=wr);var Xr=tr[wr];Xr||(Xr=tr[wr]=[]),Xr.push(Gt[ir])}var ti=[];for(var $r in tr)ti.push(tr[$r]);return ti}var l=function(wt){this.keyCache={},wt&&this.replace(wt)};l.prototype.replace=function(wt){this._layerConfigs={},this._layers={},this.update(wt,[])},l.prototype.update=function(wt,tr){for(var ir=this,wr=0,Xr=wt;wr<Xr.length;wr+=1){var ti=Xr[wr];this._layerConfigs[ti.id]=ti;var $r=this._layers[ti.id]=i.createStyleLayer(ti);$r._featureFilter=i.featureFilter($r.filter),this.keyCache[ti.id]&&delete this.keyCache[ti.id]}for(var Ri=0,Hi=tr;Ri<Hi.length;Ri+=1){var en=Hi[Ri];delete this.keyCache[en],delete this._layerConfigs[en],delete this._layers[en]}this.familiesBySource={};for(var fn=s(i.values(this._layerConfigs),this.keyCache),yn=0,Mn=fn;yn<Mn.length;yn+=1){var Ba=Mn[yn],ua=Ba.map(function(jn){return ir._layers[jn.id]}),ma=ua[0];if(ma.visibility!==\"none\"){var Wa=ma.source||\"\",za=this.familiesBySource[Wa];za||(za=this.familiesBySource[Wa]={});var Xo=ma.sourceLayer||\"_geojsonTileLayer\",da=za[Xo];da||(da=za[Xo]=[]),da.push(ua)}}};var u=1,c=function(wt){var tr={},ir=[];for(var wr in wt){var Xr=wt[wr],ti=tr[wr]={};for(var $r in Xr){var Ri=Xr[+$r];if(!(!Ri||Ri.bitmap.width===0||Ri.bitmap.height===0)){var Hi={x:0,y:0,w:Ri.bitmap.width+2*u,h:Ri.bitmap.height+2*u};ir.push(Hi),ti[$r]={rect:Hi,metrics:Ri.metrics}}}}var en=i.potpack(ir),fn=en.w,yn=en.h,Mn=new i.AlphaImage({width:fn||1,height:yn||1});for(var Ba in wt){var ua=wt[Ba];for(var ma in ua){var Wa=ua[+ma];if(!(!Wa||Wa.bitmap.width===0||Wa.bitmap.height===0)){var za=tr[Ba][ma].rect;i.AlphaImage.copy(Wa.bitmap,Mn,{x:0,y:0},{x:za.x+u,y:za.y+u},Wa.bitmap)}}}this.image=Mn,this.positions=tr};i.register(\"GlyphAtlas\",c);var f=function(wt){this.tileID=new i.OverscaledTileID(wt.tileID.overscaledZ,wt.tileID.wrap,wt.tileID.canonical.z,wt.tileID.canonical.x,wt.tileID.canonical.y),this.uid=wt.uid,this.zoom=wt.zoom,this.pixelRatio=wt.pixelRatio,this.tileSize=wt.tileSize,this.source=wt.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=wt.showCollisionBoxes,this.collectResourceTiming=!!wt.collectResourceTiming,this.returnDependencies=!!wt.returnDependencies,this.promoteId=wt.promoteId};f.prototype.parse=function(wt,tr,ir,wr,Xr){var ti=this;this.status=\"parsing\",this.data=wt,this.collisionBoxArray=new i.CollisionBoxArray;var $r=new i.DictionaryCoder(Object.keys(wt.layers).sort()),Ri=new i.FeatureIndex(this.tileID,this.promoteId);Ri.bucketLayerIDs=[];var Hi={},en={featureIndex:Ri,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:ir},fn=tr.familiesBySource[this.source];for(var yn in fn){var Mn=wt.layers[yn];if(Mn){Mn.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+yn+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var Ba=$r.encode(yn),ua=[],ma=0;ma<Mn.length;ma++){var Wa=Mn.feature(ma),za=Ri.getId(Wa,yn);ua.push({feature:Wa,id:za,index:ma,sourceLayerIndex:Ba})}for(var Xo=0,da=fn[yn];Xo<da.length;Xo+=1){var jn=da[Xo],Ha=jn[0];if(!(Ha.minzoom&&this.zoom<Math.floor(Ha.minzoom))&&!(Ha.maxzoom&&this.zoom>=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(jn,this.zoom,ir);var vo=Hi[Ha.id]=Ha.createBucket({index:Ri.bucketLayerIDs.length,layers:jn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Ba,sourceID:this.source});vo.populate(ua,en,this.tileID.canonical),Ri.bucketLayerIDs.push(jn.map(function(ki){return ki.id}))}}}}var Gn,Ct,Sr,Jr,hi=i.mapObject(en.glyphDependencies,function(ki){return Object.keys(ki).map(Number)});Object.keys(hi).length?wr.send(\"getGlyphs\",{uid:this.uid,stacks:hi},function(ki,_n){Gn||(Gn=ki,Ct=_n,En.call(ti))}):Ct={};var hn=Object.keys(en.iconDependencies);hn.length?wr.send(\"getImages\",{icons:hn,source:this.source,tileID:this.tileID,type:\"icons\"},function(ki,_n){Gn||(Gn=ki,Sr=_n,En.call(ti))}):Sr={};var Sn=Object.keys(en.patternDependencies);Sn.length?wr.send(\"getImages\",{icons:Sn,source:this.source,tileID:this.tileID,type:\"patterns\"},function(ki,_n){Gn||(Gn=ki,Jr=_n,En.call(ti))}):Jr={},En.call(this);function En(){if(Gn)return Xr(Gn);if(Ct&&Sr&&Jr){var ki=new c(Ct),_n=new i.ImageAtlas(Sr,Jr);for(var ya in Hi){var ea=Hi[ya];ea instanceof i.SymbolBucket?(h(ea.layers,this.zoom,ir),i.performSymbolLayout(ea,Ct,ki.positions,Sr,_n.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):ea.hasPattern&&(ea instanceof i.LineBucket||ea instanceof i.FillBucket||ea instanceof i.FillExtrusionBucket)&&(h(ea.layers,this.zoom,ir),ea.addFeatures(en,this.tileID.canonical,_n.patternPositions))}this.status=\"done\",Xr(null,{buckets:i.values(Hi).filter(function(Ma){return!Ma.isEmpty()}),featureIndex:Ri,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:ki.image,imageAtlas:_n,glyphMap:this.returnDependencies?Ct:null,iconMap:this.returnDependencies?Sr:null,glyphPositions:this.returnDependencies?ki.positions:null})}}};function h(Gt,wt,tr){for(var ir=new i.EvaluationParameters(wt),wr=0,Xr=Gt;wr<Xr.length;wr+=1){var ti=Xr[wr];ti.recalculate(ir,tr)}}function d(Gt,wt){var tr=i.getArrayBuffer(Gt.request,function(ir,wr,Xr,ti){ir?wt(ir):wr&&wt(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(wr)),rawData:wr,cacheControl:Xr,expires:ti})});return function(){tr.cancel(),wt()}}var v=function(wt,tr,ir,wr){this.actor=wt,this.layerIndex=tr,this.availableImages=ir,this.loadVectorData=wr||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(wt,tr){var ir=this,wr=wt.uid;this.loading||(this.loading={});var Xr=wt&&wt.request&&wt.request.collectResourceTiming?new i.RequestPerformance(wt.request):!1,ti=this.loading[wr]=new f(wt);ti.abort=this.loadVectorData(wt,function($r,Ri){if(delete ir.loading[wr],$r||!Ri)return ti.status=\"done\",ir.loaded[wr]=ti,tr($r);var Hi=Ri.rawData,en={};Ri.expires&&(en.expires=Ri.expires),Ri.cacheControl&&(en.cacheControl=Ri.cacheControl);var fn={};if(Xr){var yn=Xr.finish();yn&&(fn.resourceTiming=JSON.parse(JSON.stringify(yn)))}ti.vectorTile=Ri.vectorTile,ti.parse(Ri.vectorTile,ir.layerIndex,ir.availableImages,ir.actor,function(Mn,Ba){if(Mn||!Ba)return tr(Mn);tr(null,i.extend({rawTileData:Hi.slice(0)},Ba,en,fn))}),ir.loaded=ir.loaded||{},ir.loaded[wr]=ti})},v.prototype.reloadTile=function(wt,tr){var ir=this,wr=this.loaded,Xr=wt.uid,ti=this;if(wr&&wr[Xr]){var $r=wr[Xr];$r.showCollisionBoxes=wt.showCollisionBoxes;var Ri=function(Hi,en){var fn=$r.reloadCallback;fn&&(delete $r.reloadCallback,$r.parse($r.vectorTile,ti.layerIndex,ir.availableImages,ti.actor,fn)),tr(Hi,en)};$r.status===\"parsing\"?$r.reloadCallback=Ri:$r.status===\"done\"&&($r.vectorTile?$r.parse($r.vectorTile,this.layerIndex,this.availableImages,this.actor,Ri):Ri())}},v.prototype.abortTile=function(wt,tr){var ir=this.loading,wr=wt.uid;ir&&ir[wr]&&ir[wr].abort&&(ir[wr].abort(),delete ir[wr]),tr()},v.prototype.removeTile=function(wt,tr){var ir=this.loaded,wr=wt.uid;ir&&ir[wr]&&delete ir[wr],tr()};var m=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(wt,tr){var ir=wt.uid,wr=wt.encoding,Xr=wt.rawImageData,ti=m&&Xr instanceof m?this.getImageData(Xr):Xr,$r=new i.DEMData(ir,ti,wr);this.loaded=this.loaded||{},this.loaded[ir]=$r,tr(null,$r)},b.prototype.getImageData=function(wt){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(wt.width,wt.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=wt.width,this.offscreenCanvas.height=wt.height,this.offscreenCanvasContext.drawImage(wt,0,0,wt.width,wt.height);var tr=this.offscreenCanvasContext.getImageData(-1,-1,wt.width+2,wt.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:tr.width,height:tr.height},tr.data)},b.prototype.removeTile=function(wt){var tr=this.loaded,ir=wt.uid;tr&&tr[ir]&&delete tr[ir]};var p=k;function k(Gt,wt){var tr=Gt&&Gt.type,ir;if(tr===\"FeatureCollection\")for(ir=0;ir<Gt.features.length;ir++)k(Gt.features[ir],wt);else if(tr===\"GeometryCollection\")for(ir=0;ir<Gt.geometries.length;ir++)k(Gt.geometries[ir],wt);else if(tr===\"Feature\")k(Gt.geometry,wt);else if(tr===\"Polygon\")M(Gt.coordinates,wt);else if(tr===\"MultiPolygon\")for(ir=0;ir<Gt.coordinates.length;ir++)M(Gt.coordinates[ir],wt);return Gt}function M(Gt,wt){if(Gt.length!==0){T(Gt[0],wt);for(var tr=1;tr<Gt.length;tr++)T(Gt[tr],!wt)}}function T(Gt,wt){for(var tr=0,ir=0,wr=Gt.length,Xr=wr-1;ir<wr;Xr=ir++)tr+=(Gt[ir][0]-Gt[Xr][0])*(Gt[Xr][1]+Gt[ir][1]);tr>=0!=!!wt&&Gt.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,x=function(wt){this._feature=wt,this.extent=i.EXTENT,this.type=wt.type,this.properties=wt.tags,\"id\"in wt&&!isNaN(wt.id)&&(this.id=parseInt(wt.id,10))};x.prototype.loadGeometry=function(){if(this._feature.type===1){for(var wt=[],tr=0,ir=this._feature.geometry;tr<ir.length;tr+=1){var wr=ir[tr];wt.push([new i.Point$1(wr[0],wr[1])])}return wt}else{for(var Xr=[],ti=0,$r=this._feature.geometry;ti<$r.length;ti+=1){for(var Ri=$r[ti],Hi=[],en=0,fn=Ri;en<fn.length;en+=1){var yn=fn[en];Hi.push(new i.Point$1(yn[0],yn[1]))}Xr.push(Hi)}return Xr}},x.prototype.toGeoJSON=function(wt,tr,ir){return L.call(this,wt,tr,ir)};var C=function(wt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=wt.length,this._features=wt};C.prototype.feature=function(wt){return new x(this._features[wt])};var S=i.vectorTile.VectorTileFeature,g=P;function P(Gt,wt){this.options=wt||{},this.features=Gt,this.length=Gt.length}P.prototype.feature=function(Gt){return new E(this.features[Gt],this.options.extent)};function E(Gt,wt){this.id=typeof Gt.id==\"number\"?Gt.id:void 0,this.type=Gt.type,this.rawGeometry=Gt.type===1?[Gt.geometry]:Gt.geometry,this.properties=Gt.tags,this.extent=wt||4096}E.prototype.loadGeometry=function(){var Gt=this.rawGeometry;this.geometry=[];for(var wt=0;wt<Gt.length;wt++){for(var tr=Gt[wt],ir=[],wr=0;wr<tr.length;wr++)ir.push(new i.Point$1(tr[wr][0],tr[wr][1]));this.geometry.push(ir)}return this.geometry},E.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var Gt=this.geometry,wt=1/0,tr=-1/0,ir=1/0,wr=-1/0,Xr=0;Xr<Gt.length;Xr++)for(var ti=Gt[Xr],$r=0;$r<ti.length;$r++){var Ri=ti[$r];wt=Math.min(wt,Ri.x),tr=Math.max(tr,Ri.x),ir=Math.min(ir,Ri.y),wr=Math.max(wr,Ri.y)}return[wt,ir,tr,wr]},E.prototype.toGeoJSON=S.prototype.toGeoJSON;var z=Z,q=Z,V=j,G=g;function Z(Gt){var wt=new i.pbf;return N(Gt,wt),wt.finish()}function j(Gt,wt){wt=wt||{};var tr={};for(var ir in Gt)tr[ir]=new g(Gt[ir].features,wt),tr[ir].name=ir,tr[ir].version=wt.version,tr[ir].extent=wt.extent;return Z({layers:tr})}function N(Gt,wt){for(var tr in Gt.layers)wt.writeMessage(3,H,Gt.layers[tr])}function H(Gt,wt){wt.writeVarintField(15,Gt.version||1),wt.writeStringField(1,Gt.name||\"\"),wt.writeVarintField(5,Gt.extent||4096);var tr,ir={keys:[],values:[],keycache:{},valuecache:{}};for(tr=0;tr<Gt.length;tr++)ir.feature=Gt.feature(tr),wt.writeMessage(2,re,ir);var wr=ir.keys;for(tr=0;tr<wr.length;tr++)wt.writeStringField(3,wr[tr]);var Xr=ir.values;for(tr=0;tr<Xr.length;tr++)wt.writeMessage(4,ge,Xr[tr])}function re(Gt,wt){var tr=Gt.feature;tr.id!==void 0&&wt.writeVarintField(1,tr.id),wt.writeMessage(2,ae,Gt),wt.writeVarintField(3,tr.type),wt.writeMessage(4,Ce,tr)}function ae(Gt,wt){var tr=Gt.feature,ir=Gt.keys,wr=Gt.values,Xr=Gt.keycache,ti=Gt.valuecache;for(var $r in tr.properties){var Ri=Xr[$r];typeof Ri==\"undefined\"&&(ir.push($r),Ri=ir.length-1,Xr[$r]=Ri),wt.writeVarint(Ri);var Hi=tr.properties[$r],en=typeof Hi;en!==\"string\"&&en!==\"boolean\"&&en!==\"number\"&&(Hi=JSON.stringify(Hi));var fn=en+\":\"+Hi,yn=ti[fn];typeof yn==\"undefined\"&&(wr.push(Hi),yn=wr.length-1,ti[fn]=yn),wt.writeVarint(yn)}}function _e(Gt,wt){return(wt<<3)+(Gt&7)}function Ee(Gt){return Gt<<1^Gt>>31}function Ce(Gt,wt){for(var tr=Gt.loadGeometry(),ir=Gt.type,wr=0,Xr=0,ti=tr.length,$r=0;$r<ti;$r++){var Ri=tr[$r],Hi=1;ir===1&&(Hi=Ri.length),wt.writeVarint(_e(1,Hi));for(var en=ir===3?Ri.length-1:Ri.length,fn=0;fn<en;fn++){fn===1&&ir!==1&&wt.writeVarint(_e(2,en-1));var yn=Ri[fn].x-wr,Mn=Ri[fn].y-Xr;wt.writeVarint(Ee(yn)),wt.writeVarint(Ee(Mn)),wr+=yn,Xr+=Mn}ir===3&&wt.writeVarint(_e(7,1))}}function ge(Gt,wt){var tr=typeof Gt;tr===\"string\"?wt.writeStringField(1,Gt):tr===\"boolean\"?wt.writeBooleanField(7,Gt):tr===\"number\"&&(Gt%1!==0?wt.writeDoubleField(3,Gt):Gt<0?wt.writeSVarintField(6,Gt):wt.writeVarintField(5,Gt))}z.fromVectorTileJs=q,z.fromGeojsonVt=V,z.GeoJSONWrapper=G;function ie(Gt,wt,tr,ir,wr,Xr){if(!(wr-ir<=tr)){var ti=ir+wr>>1;Se(Gt,wt,ti,ir,wr,Xr%2),ie(Gt,wt,tr,ir,ti-1,Xr+1),ie(Gt,wt,tr,ti+1,wr,Xr+1)}}function Se(Gt,wt,tr,ir,wr,Xr){for(;wr>ir;){if(wr-ir>600){var ti=wr-ir+1,$r=tr-ir+1,Ri=Math.log(ti),Hi=.5*Math.exp(2*Ri/3),en=.5*Math.sqrt(Ri*Hi*(ti-Hi)/ti)*($r-ti/2<0?-1:1),fn=Math.max(ir,Math.floor(tr-$r*Hi/ti+en)),yn=Math.min(wr,Math.floor(tr+(ti-$r)*Hi/ti+en));Se(Gt,wt,tr,fn,yn,Xr)}var Mn=wt[2*tr+Xr],Ba=ir,ua=wr;for(ke(Gt,wt,ir,tr),wt[2*wr+Xr]>Mn&&ke(Gt,wt,ir,wr);Ba<ua;){for(ke(Gt,wt,Ba,ua),Ba++,ua--;wt[2*Ba+Xr]<Mn;)Ba++;for(;wt[2*ua+Xr]>Mn;)ua--}wt[2*ir+Xr]===Mn?ke(Gt,wt,ir,ua):(ua++,ke(Gt,wt,ua,wr)),ua<=tr&&(ir=ua+1),tr<=ua&&(wr=ua-1)}}function ke(Gt,wt,tr,ir){be(Gt,tr,ir),be(wt,2*tr,2*ir),be(wt,2*tr+1,2*ir+1)}function be(Gt,wt,tr){var ir=Gt[wt];Gt[wt]=Gt[tr],Gt[tr]=ir}function Be(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=[0,Gt.length-1,0],Ri=[],Hi,en;$r.length;){var fn=$r.pop(),yn=$r.pop(),Mn=$r.pop();if(yn-Mn<=ti){for(var Ba=Mn;Ba<=yn;Ba++)Hi=wt[2*Ba],en=wt[2*Ba+1],Hi>=tr&&Hi<=wr&&en>=ir&&en<=Xr&&Ri.push(Gt[Ba]);continue}var ua=Math.floor((Mn+yn)/2);Hi=wt[2*ua],en=wt[2*ua+1],Hi>=tr&&Hi<=wr&&en>=ir&&en<=Xr&&Ri.push(Gt[ua]);var ma=(fn+1)%2;(fn===0?tr<=Hi:ir<=en)&&($r.push(Mn),$r.push(ua-1),$r.push(ma)),(fn===0?wr>=Hi:Xr>=en)&&($r.push(ua+1),$r.push(yn),$r.push(ma))}return Ri}function Le(Gt,wt,tr,ir,wr,Xr){for(var ti=[0,Gt.length-1,0],$r=[],Ri=wr*wr;ti.length;){var Hi=ti.pop(),en=ti.pop(),fn=ti.pop();if(en-fn<=Xr){for(var yn=fn;yn<=en;yn++)me(wt[2*yn],wt[2*yn+1],tr,ir)<=Ri&&$r.push(Gt[yn]);continue}var Mn=Math.floor((fn+en)/2),Ba=wt[2*Mn],ua=wt[2*Mn+1];me(Ba,ua,tr,ir)<=Ri&&$r.push(Gt[Mn]);var ma=(Hi+1)%2;(Hi===0?tr-wr<=Ba:ir-wr<=ua)&&(ti.push(fn),ti.push(Mn-1),ti.push(ma)),(Hi===0?tr+wr>=Ba:ir+wr>=ua)&&(ti.push(Mn+1),ti.push(en),ti.push(ma))}return $r}function me(Gt,wt,tr,ir){var wr=Gt-tr,Xr=wt-ir;return wr*wr+Xr*Xr}var Pe=function(Gt){return Gt[0]},ce=function(Gt){return Gt[1]},He=function(wt,tr,ir,wr,Xr){tr===void 0&&(tr=Pe),ir===void 0&&(ir=ce),wr===void 0&&(wr=64),Xr===void 0&&(Xr=Float64Array),this.nodeSize=wr,this.points=wt;for(var ti=wt.length<65536?Uint16Array:Uint32Array,$r=this.ids=new ti(wt.length),Ri=this.coords=new Xr(wt.length*2),Hi=0;Hi<wt.length;Hi++)$r[Hi]=Hi,Ri[2*Hi]=tr(wt[Hi]),Ri[2*Hi+1]=ir(wt[Hi]);ie($r,Ri,wr,0,$r.length-1,0)};He.prototype.range=function(wt,tr,ir,wr){return Be(this.ids,this.coords,wt,tr,ir,wr,this.nodeSize)},He.prototype.within=function(wt,tr,ir){return Le(this.ids,this.coords,wt,tr,ir,this.nodeSize)};var lt={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(Gt){return Gt}},mt=function(wt){this.options=Ue(Object.create(lt),wt),this.trees=new Array(this.options.maxZoom+1)};mt.prototype.load=function(wt){var tr=this.options,ir=tr.log,wr=tr.minZoom,Xr=tr.maxZoom,ti=tr.nodeSize;ir&&console.time(\"total time\");var $r=\"prepare \"+wt.length+\" points\";ir&&console.time($r),this.points=wt;for(var Ri=[],Hi=0;Hi<wt.length;Hi++)wt[Hi].geometry&&Ri.push(at(wt[Hi],Hi));this.trees[Xr+1]=new He(Ri,Ae,rt,ti,Float32Array),ir&&console.timeEnd($r);for(var en=Xr;en>=wr;en--){var fn=+Date.now();Ri=this._cluster(Ri,en),this.trees[en]=new He(Ri,Ae,rt,ti,Float32Array),ir&&console.log(\"z%d: %d clusters in %dms\",en,Ri.length,+Date.now()-fn)}return ir&&console.timeEnd(\"total time\"),this},mt.prototype.getClusters=function(wt,tr){var ir=((wt[0]+180)%360+360)%360-180,wr=Math.max(-90,Math.min(90,wt[1])),Xr=wt[2]===180?180:((wt[2]+180)%360+360)%360-180,ti=Math.max(-90,Math.min(90,wt[3]));if(wt[2]-wt[0]>=360)ir=-180,Xr=180;else if(ir>Xr){var $r=this.getClusters([ir,wr,180,ti],tr),Ri=this.getClusters([-180,wr,Xr,ti],tr);return $r.concat(Ri)}for(var Hi=this.trees[this._limitZoom(tr)],en=Hi.range(Vt(ir),rr(ti),Vt(Xr),rr(wr)),fn=[],yn=0,Mn=en;yn<Mn.length;yn+=1){var Ba=Mn[yn],ua=Hi.points[Ba];fn.push(ua.numPoints?ct(ua):this.points[ua.index])}return fn},mt.prototype.getChildren=function(wt){var tr=this._getOriginId(wt),ir=this._getOriginZoom(wt),wr=\"No cluster with the specified id.\",Xr=this.trees[ir];if(!Xr)throw new Error(wr);var ti=Xr.points[tr];if(!ti)throw new Error(wr);for(var $r=this.options.radius/(this.options.extent*Math.pow(2,ir-1)),Ri=Xr.within(ti.x,ti.y,$r),Hi=[],en=0,fn=Ri;en<fn.length;en+=1){var yn=fn[en],Mn=Xr.points[yn];Mn.parentId===wt&&Hi.push(Mn.numPoints?ct(Mn):this.points[Mn.index])}if(Hi.length===0)throw new Error(wr);return Hi},mt.prototype.getLeaves=function(wt,tr,ir){tr=tr||10,ir=ir||0;var wr=[];return this._appendLeaves(wr,wt,tr,ir,0),wr},mt.prototype.getTile=function(wt,tr,ir){var wr=this.trees[this._limitZoom(wt)],Xr=Math.pow(2,wt),ti=this.options,$r=ti.extent,Ri=ti.radius,Hi=Ri/$r,en=(ir-Hi)/Xr,fn=(ir+1+Hi)/Xr,yn={features:[]};return this._addTileFeatures(wr.range((tr-Hi)/Xr,en,(tr+1+Hi)/Xr,fn),wr.points,tr,ir,Xr,yn),tr===0&&this._addTileFeatures(wr.range(1-Hi/Xr,en,1,fn),wr.points,Xr,ir,Xr,yn),tr===Xr-1&&this._addTileFeatures(wr.range(0,en,Hi/Xr,fn),wr.points,-1,ir,Xr,yn),yn.features.length?yn:null},mt.prototype.getClusterExpansionZoom=function(wt){for(var tr=this._getOriginZoom(wt)-1;tr<=this.options.maxZoom;){var ir=this.getChildren(wt);if(tr++,ir.length!==1)break;wt=ir[0].properties.cluster_id}return tr},mt.prototype._appendLeaves=function(wt,tr,ir,wr,Xr){for(var ti=this.getChildren(tr),$r=0,Ri=ti;$r<Ri.length;$r+=1){var Hi=Ri[$r],en=Hi.properties;if(en&&en.cluster?Xr+en.point_count<=wr?Xr+=en.point_count:Xr=this._appendLeaves(wt,en.cluster_id,ir,wr,Xr):Xr<wr?Xr++:wt.push(Hi),wt.length===ir)break}return Xr},mt.prototype._addTileFeatures=function(wt,tr,ir,wr,Xr,ti){for(var $r=0,Ri=wt;$r<Ri.length;$r+=1){var Hi=Ri[$r],en=tr[Hi],fn=en.numPoints,yn={type:1,geometry:[[Math.round(this.options.extent*(en.x*Xr-ir)),Math.round(this.options.extent*(en.y*Xr-wr))]],tags:fn?ar(en):this.points[en.index].properties},Mn=void 0;fn?Mn=en.id:this.options.generateId?Mn=en.index:this.points[en.index].id&&(Mn=this.points[en.index].id),Mn!==void 0&&(yn.id=Mn),ti.features.push(yn)}},mt.prototype._limitZoom=function(wt){return Math.max(this.options.minZoom,Math.min(+wt,this.options.maxZoom+1))},mt.prototype._cluster=function(wt,tr){for(var ir=[],wr=this.options,Xr=wr.radius,ti=wr.extent,$r=wr.reduce,Ri=wr.minPoints,Hi=Xr/(ti*Math.pow(2,tr)),en=0;en<wt.length;en++){var fn=wt[en];if(!(fn.zoom<=tr)){fn.zoom=tr;for(var yn=this.trees[tr+1],Mn=yn.within(fn.x,fn.y,Hi),Ba=fn.numPoints||1,ua=Ba,ma=0,Wa=Mn;ma<Wa.length;ma+=1){var za=Wa[ma],Xo=yn.points[za];Xo.zoom>tr&&(ua+=Xo.numPoints||1)}if(ua>=Ri){for(var da=fn.x*Ba,jn=fn.y*Ba,Ha=$r&&Ba>1?this._map(fn,!0):null,vo=(en<<5)+(tr+1)+this.points.length,Gn=0,Ct=Mn;Gn<Ct.length;Gn+=1){var Sr=Ct[Gn],Jr=yn.points[Sr];if(!(Jr.zoom<=tr)){Jr.zoom=tr;var hi=Jr.numPoints||1;da+=Jr.x*hi,jn+=Jr.y*hi,Jr.parentId=vo,$r&&(Ha||(Ha=this._map(fn,!0)),$r(Ha,this._map(Jr)))}}fn.parentId=vo,ir.push(Ht(da/ua,jn/ua,vo,ua,Ha))}else if(ir.push(fn),ua>1)for(var hn=0,Sn=Mn;hn<Sn.length;hn+=1){var En=Sn[hn],ki=yn.points[En];ki.zoom<=tr||(ki.zoom=tr,ir.push(ki))}}}return ir},mt.prototype._getOriginId=function(wt){return wt-this.points.length>>5},mt.prototype._getOriginZoom=function(wt){return(wt-this.points.length)%32},mt.prototype._map=function(wt,tr){if(wt.numPoints)return tr?Ue({},wt.properties):wt.properties;var ir=this.points[wt.index].properties,wr=this.options.map(ir);return tr&&wr===ir?Ue({},wr):wr};function Ht(Gt,wt,tr,ir,wr){return{x:Gt,y:wt,zoom:1/0,id:tr,parentId:-1,numPoints:ir,properties:wr}}function at(Gt,wt){var tr=Gt.geometry.coordinates,ir=tr[0],wr=tr[1];return{x:Vt(ir),y:rr(wr),zoom:1/0,index:wt,parentId:-1}}function ct(Gt){return{type:\"Feature\",id:Gt.id,properties:ar(Gt),geometry:{type:\"Point\",coordinates:[tt(Gt.x),je(Gt.y)]}}}function ar(Gt){var wt=Gt.numPoints,tr=wt>=1e4?Math.round(wt/1e3)+\"k\":wt>=1e3?Math.round(wt/100)/10+\"k\":wt;return Ue(Ue({},Gt.properties),{cluster:!0,cluster_id:Gt.id,point_count:wt,point_count_abbreviated:tr})}function Vt(Gt){return Gt/360+.5}function rr(Gt){var wt=Math.sin(Gt*Math.PI/180),tr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return tr<0?0:tr>1?1:tr}function tt(Gt){return(Gt-.5)*360}function je(Gt){var wt=(180-Gt*360)*Math.PI/180;return 360*Math.atan(Math.exp(wt))/Math.PI-90}function Ue(Gt,wt){for(var tr in wt)Gt[tr]=wt[tr];return Gt}function Ae(Gt){return Gt.x}function rt(Gt){return Gt.y}function St(Gt,wt,tr,ir){for(var wr=ir,Xr=tr-wt>>1,ti=tr-wt,$r,Ri=Gt[wt],Hi=Gt[wt+1],en=Gt[tr],fn=Gt[tr+1],yn=wt+3;yn<tr;yn+=3){var Mn=Tt(Gt[yn],Gt[yn+1],Ri,Hi,en,fn);if(Mn>wr)$r=yn,wr=Mn;else if(Mn===wr){var Ba=Math.abs(yn-Xr);Ba<ti&&($r=yn,ti=Ba)}}wr>ir&&($r-wt>3&&St(Gt,wt,$r,ir),Gt[$r+2]=wr,tr-$r>3&&St(Gt,$r,tr,ir))}function Tt(Gt,wt,tr,ir,wr,Xr){var ti=wr-tr,$r=Xr-ir;if(ti!==0||$r!==0){var Ri=((Gt-tr)*ti+(wt-ir)*$r)/(ti*ti+$r*$r);Ri>1?(tr=wr,ir=Xr):Ri>0&&(tr+=ti*Ri,ir+=$r*Ri)}return ti=Gt-tr,$r=wt-ir,ti*ti+$r*$r}function dt(Gt,wt,tr,ir){var wr={id:typeof Gt==\"undefined\"?null:Gt,type:wt,geometry:tr,tags:ir,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Et(wr),wr}function Et(Gt){var wt=Gt.geometry,tr=Gt.type;if(tr===\"Point\"||tr===\"MultiPoint\"||tr===\"LineString\")pt(Gt,wt);else if(tr===\"Polygon\"||tr===\"MultiLineString\")for(var ir=0;ir<wt.length;ir++)pt(Gt,wt[ir]);else if(tr===\"MultiPolygon\")for(ir=0;ir<wt.length;ir++)for(var wr=0;wr<wt[ir].length;wr++)pt(Gt,wt[ir][wr])}function pt(Gt,wt){for(var tr=0;tr<wt.length;tr+=3)Gt.minX=Math.min(Gt.minX,wt[tr]),Gt.minY=Math.min(Gt.minY,wt[tr+1]),Gt.maxX=Math.max(Gt.maxX,wt[tr]),Gt.maxY=Math.max(Gt.maxY,wt[tr+1])}function jt(Gt,wt){var tr=[];if(Gt.type===\"FeatureCollection\")for(var ir=0;ir<Gt.features.length;ir++)or(tr,Gt.features[ir],wt,ir);else Gt.type===\"Feature\"?or(tr,Gt,wt):or(tr,{geometry:Gt},wt);return tr}function or(Gt,wt,tr,ir){if(wt.geometry){var wr=wt.geometry.coordinates,Xr=wt.geometry.type,ti=Math.pow(tr.tolerance/((1<<tr.maxZoom)*tr.extent),2),$r=[],Ri=wt.id;if(tr.promoteId?Ri=wt.properties[tr.promoteId]:tr.generateId&&(Ri=ir||0),Xr===\"Point\")mr(wr,$r);else if(Xr===\"MultiPoint\")for(var Hi=0;Hi<wr.length;Hi++)mr(wr[Hi],$r);else if(Xr===\"LineString\")Ar(wr,$r,ti,!1);else if(Xr===\"MultiLineString\")if(tr.lineMetrics){for(Hi=0;Hi<wr.length;Hi++)$r=[],Ar(wr[Hi],$r,ti,!1),Gt.push(dt(Ri,\"LineString\",$r,wt.properties));return}else ei(wr,$r,ti,!1);else if(Xr===\"Polygon\")ei(wr,$r,ti,!0);else if(Xr===\"MultiPolygon\")for(Hi=0;Hi<wr.length;Hi++){var en=[];ei(wr[Hi],en,ti,!0),$r.push(en)}else if(Xr===\"GeometryCollection\"){for(Hi=0;Hi<wt.geometry.geometries.length;Hi++)or(Gt,{id:Ri,geometry:wt.geometry.geometries[Hi],properties:wt.properties},tr,ir);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");Gt.push(dt(Ri,Xr,$r,wt.properties))}}function mr(Gt,wt){wt.push(qr(Gt[0])),wt.push(jr(Gt[1])),wt.push(0)}function Ar(Gt,wt,tr,ir){for(var wr,Xr,ti=0,$r=0;$r<Gt.length;$r++){var Ri=qr(Gt[$r][0]),Hi=jr(Gt[$r][1]);wt.push(Ri),wt.push(Hi),wt.push(0),$r>0&&(ir?ti+=(wr*Hi-Ri*Xr)/2:ti+=Math.sqrt(Math.pow(Ri-wr,2)+Math.pow(Hi-Xr,2))),wr=Ri,Xr=Hi}var en=wt.length-3;wt[2]=1,St(wt,0,en,tr),wt[en+2]=1,wt.size=Math.abs(ti),wt.start=0,wt.end=wt.size}function ei(Gt,wt,tr,ir){for(var wr=0;wr<Gt.length;wr++){var Xr=[];Ar(Gt[wr],Xr,tr,ir),wt.push(Xr)}}function qr(Gt){return Gt/360+.5}function jr(Gt){var wt=Math.sin(Gt*Math.PI/180),tr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return tr<0?0:tr>1?1:tr}function gt(Gt,wt,tr,ir,wr,Xr,ti,$r){if(tr/=wt,ir/=wt,Xr>=tr&&ti<ir)return Gt;if(ti<tr||Xr>=ir)return null;for(var Ri=[],Hi=0;Hi<Gt.length;Hi++){var en=Gt[Hi],fn=en.geometry,yn=en.type,Mn=wr===0?en.minX:en.minY,Ba=wr===0?en.maxX:en.maxY;if(Mn>=tr&&Ba<ir){Ri.push(en);continue}else if(Ba<tr||Mn>=ir)continue;var ua=[];if(yn===\"Point\"||yn===\"MultiPoint\")Ge(fn,ua,tr,ir,wr);else if(yn===\"LineString\")Je(fn,ua,tr,ir,wr,!1,$r.lineMetrics);else if(yn===\"MultiLineString\")et(fn,ua,tr,ir,wr,!1);else if(yn===\"Polygon\")et(fn,ua,tr,ir,wr,!0);else if(yn===\"MultiPolygon\")for(var ma=0;ma<fn.length;ma++){var Wa=[];et(fn[ma],Wa,tr,ir,wr,!0),Wa.length&&ua.push(Wa)}if(ua.length){if($r.lineMetrics&&yn===\"LineString\"){for(ma=0;ma<ua.length;ma++)Ri.push(dt(en.id,yn,ua[ma],en.tags));continue}(yn===\"LineString\"||yn===\"MultiLineString\")&&(ua.length===1?(yn=\"LineString\",ua=ua[0]):yn=\"MultiLineString\"),(yn===\"Point\"||yn===\"MultiPoint\")&&(yn=ua.length===3?\"Point\":\"MultiPoint\"),Ri.push(dt(en.id,yn,ua,en.tags))}}return Ri.length?Ri:null}function Ge(Gt,wt,tr,ir,wr){for(var Xr=0;Xr<Gt.length;Xr+=3){var ti=Gt[Xr+wr];ti>=tr&&ti<=ir&&(wt.push(Gt[Xr]),wt.push(Gt[Xr+1]),wt.push(Gt[Xr+2]))}}function Je(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=We(Gt),Ri=wr===0?At:Kt,Hi=Gt.start,en,fn,yn=0;yn<Gt.length-3;yn+=3){var Mn=Gt[yn],Ba=Gt[yn+1],ua=Gt[yn+2],ma=Gt[yn+3],Wa=Gt[yn+4],za=wr===0?Mn:Ba,Xo=wr===0?ma:Wa,da=!1;ti&&(en=Math.sqrt(Math.pow(Mn-ma,2)+Math.pow(Ba-Wa,2))),za<tr?Xo>tr&&(fn=Ri($r,Mn,Ba,ma,Wa,tr),ti&&($r.start=Hi+en*fn)):za>ir?Xo<ir&&(fn=Ri($r,Mn,Ba,ma,Wa,ir),ti&&($r.start=Hi+en*fn)):xt($r,Mn,Ba,ua),Xo<tr&&za>=tr&&(fn=Ri($r,Mn,Ba,ma,Wa,tr),da=!0),Xo>ir&&za<=ir&&(fn=Ri($r,Mn,Ba,ma,Wa,ir),da=!0),!Xr&&da&&(ti&&($r.end=Hi+en*fn),wt.push($r),$r=We(Gt)),ti&&(Hi+=en)}var jn=Gt.length-3;Mn=Gt[jn],Ba=Gt[jn+1],ua=Gt[jn+2],za=wr===0?Mn:Ba,za>=tr&&za<=ir&&xt($r,Mn,Ba,ua),jn=$r.length-3,Xr&&jn>=3&&($r[jn]!==$r[0]||$r[jn+1]!==$r[1])&&xt($r,$r[0],$r[1],$r[2]),$r.length&&wt.push($r)}function We(Gt){var wt=[];return wt.size=Gt.size,wt.start=Gt.start,wt.end=Gt.end,wt}function et(Gt,wt,tr,ir,wr,Xr){for(var ti=0;ti<Gt.length;ti++)Je(Gt[ti],wt,tr,ir,wr,Xr,!1)}function xt(Gt,wt,tr,ir){Gt.push(wt),Gt.push(tr),Gt.push(ir)}function At(Gt,wt,tr,ir,wr,Xr){var ti=(Xr-wt)/(ir-wt);return Gt.push(Xr),Gt.push(tr+(wr-tr)*ti),Gt.push(1),ti}function Kt(Gt,wt,tr,ir,wr,Xr){var ti=(Xr-tr)/(wr-tr);return Gt.push(wt+(ir-wt)*ti),Gt.push(Xr),Gt.push(1),ti}function Qt(Gt,wt){var tr=wt.buffer/wt.extent,ir=Gt,wr=gt(Gt,1,-1-tr,tr,0,-1,2,wt),Xr=gt(Gt,1,1-tr,2+tr,0,-1,2,wt);return(wr||Xr)&&(ir=gt(Gt,1,-tr,1+tr,0,-1,2,wt)||[],wr&&(ir=Mr(wr,1).concat(ir)),Xr&&(ir=ir.concat(Mr(Xr,-1)))),ir}function Mr(Gt,wt){for(var tr=[],ir=0;ir<Gt.length;ir++){var wr=Gt[ir],Xr=wr.type,ti;if(Xr===\"Point\"||Xr===\"MultiPoint\"||Xr===\"LineString\")ti=Gr(wr.geometry,wt);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\"){ti=[];for(var $r=0;$r<wr.geometry.length;$r++)ti.push(Gr(wr.geometry[$r],wt))}else if(Xr===\"MultiPolygon\")for(ti=[],$r=0;$r<wr.geometry.length;$r++){for(var Ri=[],Hi=0;Hi<wr.geometry[$r].length;Hi++)Ri.push(Gr(wr.geometry[$r][Hi],wt));ti.push(Ri)}tr.push(dt(wr.id,Xr,ti,wr.tags))}return tr}function Gr(Gt,wt){var tr=[];tr.size=Gt.size,Gt.start!==void 0&&(tr.start=Gt.start,tr.end=Gt.end);for(var ir=0;ir<Gt.length;ir+=3)tr.push(Gt[ir]+wt,Gt[ir+1],Gt[ir+2]);return tr}function Ir(Gt,wt){if(Gt.transformed)return Gt;var tr=1<<Gt.z,ir=Gt.x,wr=Gt.y,Xr,ti,$r;for(Xr=0;Xr<Gt.features.length;Xr++){var Ri=Gt.features[Xr],Hi=Ri.geometry,en=Ri.type;if(Ri.geometry=[],en===1)for(ti=0;ti<Hi.length;ti+=2)Ri.geometry.push(Yr(Hi[ti],Hi[ti+1],wt,tr,ir,wr));else for(ti=0;ti<Hi.length;ti++){var fn=[];for($r=0;$r<Hi[ti].length;$r+=2)fn.push(Yr(Hi[ti][$r],Hi[ti][$r+1],wt,tr,ir,wr));Ri.geometry.push(fn)}}return Gt.transformed=!0,Gt}function Yr(Gt,wt,tr,ir,wr,Xr){return[Math.round(tr*(Gt*ir-wr)),Math.round(tr*(wt*ir-Xr))]}function _i(Gt,wt,tr,ir,wr){for(var Xr=wt===wr.maxZoom?0:wr.tolerance/((1<<wt)*wr.extent),ti={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:tr,y:ir,z:wt,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},$r=0;$r<Gt.length;$r++){ti.numFeatures++,Pi(ti,Gt[$r],Xr,wr);var Ri=Gt[$r].minX,Hi=Gt[$r].minY,en=Gt[$r].maxX,fn=Gt[$r].maxY;Ri<ti.minX&&(ti.minX=Ri),Hi<ti.minY&&(ti.minY=Hi),en>ti.maxX&&(ti.maxX=en),fn>ti.maxY&&(ti.maxY=fn)}return ti}function Pi(Gt,wt,tr,ir){var wr=wt.geometry,Xr=wt.type,ti=[];if(Xr===\"Point\"||Xr===\"MultiPoint\")for(var $r=0;$r<wr.length;$r+=3)ti.push(wr[$r]),ti.push(wr[$r+1]),Gt.numPoints++,Gt.numSimplified++;else if(Xr===\"LineString\")ai(ti,wr,Gt,tr,!1,!1);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\")for($r=0;$r<wr.length;$r++)ai(ti,wr[$r],Gt,tr,Xr===\"Polygon\",$r===0);else if(Xr===\"MultiPolygon\")for(var Ri=0;Ri<wr.length;Ri++){var Hi=wr[Ri];for($r=0;$r<Hi.length;$r++)ai(ti,Hi[$r],Gt,tr,!0,$r===0)}if(ti.length){var en=wt.tags||null;if(Xr===\"LineString\"&&ir.lineMetrics){en={};for(var fn in wt.tags)en[fn]=wt.tags[fn];en.mapbox_clip_start=wr.start/wr.size,en.mapbox_clip_end=wr.end/wr.size}var yn={geometry:ti,type:Xr===\"Polygon\"||Xr===\"MultiPolygon\"?3:Xr===\"LineString\"||Xr===\"MultiLineString\"?2:1,tags:en};wt.id!==null&&(yn.id=wt.id),Gt.features.push(yn)}}function ai(Gt,wt,tr,ir,wr,Xr){var ti=ir*ir;if(ir>0&&wt.size<(wr?ti:ir)){tr.numPoints+=wt.length/3;return}for(var $r=[],Ri=0;Ri<wt.length;Ri+=3)(ir===0||wt[Ri+2]>ti)&&(tr.numSimplified++,$r.push(wt[Ri]),$r.push(wt[Ri+1])),tr.numPoints++;wr&&mi($r,Xr),Gt.push($r)}function mi(Gt,wt){for(var tr=0,ir=0,wr=Gt.length,Xr=wr-2;ir<wr;Xr=ir,ir+=2)tr+=(Gt[ir]-Gt[Xr])*(Gt[ir+1]+Gt[Xr+1]);if(tr>0===wt)for(ir=0,wr=Gt.length;ir<wr/2;ir+=2){var ti=Gt[ir],$r=Gt[ir+1];Gt[ir]=Gt[wr-2-ir],Gt[ir+1]=Gt[wr-1-ir],Gt[wr-2-ir]=ti,Gt[wr-1-ir]=$r}}function un(Gt,wt){return new Fn(Gt,wt)}function Fn(Gt,wt){wt=this.options=Hn(Object.create(this.options),wt);var tr=wt.debug;if(tr&&console.time(\"preprocess data\"),wt.maxZoom<0||wt.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(wt.promoteId&&wt.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var ir=jt(Gt,wt);this.tiles={},this.tileCoords=[],tr&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",wt.indexMaxZoom,wt.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),ir=Qt(ir,wt),ir.length&&this.splitTile(ir,0,0,0),tr&&(ir.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}Fn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Fn.prototype.splitTile=function(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=[Gt,wt,tr,ir],Ri=this.options,Hi=Ri.debug;$r.length;){ir=$r.pop(),tr=$r.pop(),wt=$r.pop(),Gt=$r.pop();var en=1<<wt,fn=An(wt,tr,ir),yn=this.tiles[fn];if(!yn&&(Hi>1&&console.time(\"creation\"),yn=this.tiles[fn]=_i(Gt,wt,tr,ir,Ri),this.tileCoords.push({z:wt,x:tr,y:ir}),Hi)){Hi>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",wt,tr,ir,yn.numFeatures,yn.numPoints,yn.numSimplified),console.timeEnd(\"creation\"));var Mn=\"z\"+wt;this.stats[Mn]=(this.stats[Mn]||0)+1,this.total++}if(yn.source=Gt,wr){if(wt===Ri.maxZoom||wt===wr)continue;var Ba=1<<wr-wt;if(tr!==Math.floor(Xr/Ba)||ir!==Math.floor(ti/Ba))continue}else if(wt===Ri.indexMaxZoom||yn.numPoints<=Ri.indexMaxPoints)continue;if(yn.source=null,Gt.length!==0){Hi>1&&console.time(\"clipping\");var ua=.5*Ri.buffer/Ri.extent,ma=.5-ua,Wa=.5+ua,za=1+ua,Xo,da,jn,Ha,vo,Gn;Xo=da=jn=Ha=null,vo=gt(Gt,en,tr-ua,tr+Wa,0,yn.minX,yn.maxX,Ri),Gn=gt(Gt,en,tr+ma,tr+za,0,yn.minX,yn.maxX,Ri),Gt=null,vo&&(Xo=gt(vo,en,ir-ua,ir+Wa,1,yn.minY,yn.maxY,Ri),da=gt(vo,en,ir+ma,ir+za,1,yn.minY,yn.maxY,Ri),vo=null),Gn&&(jn=gt(Gn,en,ir-ua,ir+Wa,1,yn.minY,yn.maxY,Ri),Ha=gt(Gn,en,ir+ma,ir+za,1,yn.minY,yn.maxY,Ri),Gn=null),Hi>1&&console.timeEnd(\"clipping\"),$r.push(Xo||[],wt+1,tr*2,ir*2),$r.push(da||[],wt+1,tr*2,ir*2+1),$r.push(jn||[],wt+1,tr*2+1,ir*2),$r.push(Ha||[],wt+1,tr*2+1,ir*2+1)}}},Fn.prototype.getTile=function(Gt,wt,tr){var ir=this.options,wr=ir.extent,Xr=ir.debug;if(Gt<0||Gt>24)return null;var ti=1<<Gt;wt=(wt%ti+ti)%ti;var $r=An(Gt,wt,tr);if(this.tiles[$r])return Ir(this.tiles[$r],wr);Xr>1&&console.log(\"drilling down to z%d-%d-%d\",Gt,wt,tr);for(var Ri=Gt,Hi=wt,en=tr,fn;!fn&&Ri>0;)Ri--,Hi=Math.floor(Hi/2),en=Math.floor(en/2),fn=this.tiles[An(Ri,Hi,en)];return!fn||!fn.source?null:(Xr>1&&console.log(\"found parent tile z%d-%d-%d\",Ri,Hi,en),Xr>1&&console.time(\"drilling down\"),this.splitTile(fn.source,Ri,Hi,en,Gt,wt,tr),Xr>1&&console.timeEnd(\"drilling down\"),this.tiles[$r]?Ir(this.tiles[$r],wr):null)};function An(Gt,wt,tr){return((1<<Gt)*tr+wt)*32+Gt}function Hn(Gt,wt){for(var tr in wt)Gt[tr]=wt[tr];return Gt}function Qn(Gt,wt){var tr=Gt.tileID.canonical;if(!this._geoJSONIndex)return wt(null,null);var ir=this._geoJSONIndex.getTile(tr.z,tr.x,tr.y);if(!ir)return wt(null,null);var wr=new C(ir.features),Xr=z(wr);(Xr.byteOffset!==0||Xr.byteLength!==Xr.buffer.byteLength)&&(Xr=new Uint8Array(Xr)),wt(null,{vectorTile:wr,rawData:Xr.buffer})}var Vi=(function(Gt){function wt(tr,ir,wr,Xr){Gt.call(this,tr,ir,wr,Qn),Xr&&(this.loadGeoJSON=Xr)}return Gt&&(wt.__proto__=Gt),wt.prototype=Object.create(Gt&&Gt.prototype),wt.prototype.constructor=wt,wt.prototype.loadData=function(ir,wr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=wr,this._pendingLoadDataParams=ir,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},wt.prototype._loadData=function(){var ir=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var wr=this._pendingCallback,Xr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var ti=Xr&&Xr.request&&Xr.request.collectResourceTiming?new i.RequestPerformance(Xr.request):!1;this.loadGeoJSON(Xr,function($r,Ri){if($r||!Ri)return wr($r);if(typeof Ri!=\"object\")return wr(new Error(\"Input data given to '\"+Xr.source+\"' is not a valid GeoJSON object.\"));p(Ri,!0);try{if(Xr.filter){var Hi=i.createExpression(Xr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Hi.result===\"error\")throw new Error(Hi.value.map(function(Mn){return Mn.key+\": \"+Mn.message}).join(\", \"));var en=Ri.features.filter(function(Mn){return Hi.value.evaluate({zoom:0},Mn)});Ri={type:\"FeatureCollection\",features:en}}ir._geoJSONIndex=Xr.cluster?new mt(Jn(Xr)).load(Ri.features):un(Ri,Xr.geojsonVtOptions)}catch(Mn){return wr(Mn)}ir.loaded={};var fn={};if(ti){var yn=ti.finish();yn&&(fn.resourceTiming={},fn.resourceTiming[Xr.source]=JSON.parse(JSON.stringify(yn)))}wr(null,fn)})}},wt.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},wt.prototype.reloadTile=function(ir,wr){var Xr=this.loaded,ti=ir.uid;return Xr&&Xr[ti]?Gt.prototype.reloadTile.call(this,ir,wr):this.loadTile(ir,wr)},wt.prototype.loadGeoJSON=function(ir,wr){if(ir.request)i.getJSON(ir.request,wr);else if(typeof ir.data==\"string\")try{return wr(null,JSON.parse(ir.data))}catch(Xr){return wr(new Error(\"Input data given to '\"+ir.source+\"' is not a valid GeoJSON object.\"))}else return wr(new Error(\"Input data given to '\"+ir.source+\"' is not a valid GeoJSON object.\"))},wt.prototype.removeSource=function(ir,wr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),wr()},wt.prototype.getClusterExpansionZoom=function(ir,wr){try{wr(null,this._geoJSONIndex.getClusterExpansionZoom(ir.clusterId))}catch(Xr){wr(Xr)}},wt.prototype.getClusterChildren=function(ir,wr){try{wr(null,this._geoJSONIndex.getChildren(ir.clusterId))}catch(Xr){wr(Xr)}},wt.prototype.getClusterLeaves=function(ir,wr){try{wr(null,this._geoJSONIndex.getLeaves(ir.clusterId,ir.limit,ir.offset))}catch(Xr){wr(Xr)}},wt})(v);function Jn(Gt){var wt=Gt.superclusterOptions,tr=Gt.clusterProperties;if(!tr||!wt)return wt;for(var ir={},wr={},Xr={accumulated:null,zoom:0},ti={properties:null},$r=Object.keys(tr),Ri=0,Hi=$r;Ri<Hi.length;Ri+=1){var en=Hi[Ri],fn=tr[en],yn=fn[0],Mn=fn[1],Ba=i.createExpression(Mn),ua=i.createExpression(typeof yn==\"string\"?[yn,[\"accumulated\"],[\"get\",en]]:yn);ir[en]=Ba.value,wr[en]=ua.value}return wt.map=function(ma){ti.properties=ma;for(var Wa={},za=0,Xo=$r;za<Xo.length;za+=1){var da=Xo[za];Wa[da]=ir[da].evaluate(Xr,ti)}return Wa},wt.reduce=function(ma,Wa){ti.properties=Wa;for(var za=0,Xo=$r;za<Xo.length;za+=1){var da=Xo[za];Xr.accumulated=ma[da],ma[da]=wr[da].evaluate(Xr,ti)}},wt}var Yn=function(wt){var tr=this;this.self=wt,this.actor=new i.Actor(wt,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:v,geojson:Vi},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(ir,wr){if(tr.workerSourceTypes[ir])throw new Error('Worker source with name \"'+ir+'\" already registered.');tr.workerSourceTypes[ir]=wr},this.self.registerRTLTextPlugin=function(ir){if(i.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");i.plugin.applyArabicShaping=ir.applyArabicShaping,i.plugin.processBidirectionalText=ir.processBidirectionalText,i.plugin.processStyledBidirectionalText=ir.processStyledBidirectionalText}};return Yn.prototype.setReferrer=function(wt,tr){this.referrer=tr},Yn.prototype.setImages=function(wt,tr,ir){this.availableImages[wt]=tr;for(var wr in this.workerSources[wt]){var Xr=this.workerSources[wt][wr];for(var ti in Xr)Xr[ti].availableImages=tr}ir()},Yn.prototype.setLayers=function(wt,tr,ir){this.getLayerIndex(wt).replace(tr),ir()},Yn.prototype.updateLayers=function(wt,tr,ir){this.getLayerIndex(wt).update(tr.layers,tr.removedIds),ir()},Yn.prototype.loadTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).loadTile(tr,ir)},Yn.prototype.loadDEMTile=function(wt,tr,ir){this.getDEMWorkerSource(wt,tr.source).loadTile(tr,ir)},Yn.prototype.reloadTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).reloadTile(tr,ir)},Yn.prototype.abortTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).abortTile(tr,ir)},Yn.prototype.removeTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).removeTile(tr,ir)},Yn.prototype.removeDEMTile=function(wt,tr){this.getDEMWorkerSource(wt,tr.source).removeTile(tr)},Yn.prototype.removeSource=function(wt,tr,ir){if(!(!this.workerSources[wt]||!this.workerSources[wt][tr.type]||!this.workerSources[wt][tr.type][tr.source])){var wr=this.workerSources[wt][tr.type][tr.source];delete this.workerSources[wt][tr.type][tr.source],wr.removeSource!==void 0?wr.removeSource(tr,ir):ir()}},Yn.prototype.loadWorkerSource=function(wt,tr,ir){try{this.self.importScripts(tr.url),ir()}catch(wr){ir(wr.toString())}},Yn.prototype.syncRTLPluginState=function(wt,tr,ir){try{i.plugin.setState(tr);var wr=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&wr!=null){this.self.importScripts(wr);var Xr=i.plugin.isParsed(),ti=Xr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+wr);ir(ti,Xr)}}catch($r){ir($r.toString())}},Yn.prototype.getAvailableImages=function(wt){var tr=this.availableImages[wt];return tr||(tr=[]),tr},Yn.prototype.getLayerIndex=function(wt){var tr=this.layerIndexes[wt];return tr||(tr=this.layerIndexes[wt]=new l),tr},Yn.prototype.getWorkerSource=function(wt,tr,ir){var wr=this;if(this.workerSources[wt]||(this.workerSources[wt]={}),this.workerSources[wt][tr]||(this.workerSources[wt][tr]={}),!this.workerSources[wt][tr][ir]){var Xr={send:function(ti,$r,Ri){wr.actor.send(ti,$r,Ri,wt)}};this.workerSources[wt][tr][ir]=new this.workerSourceTypes[tr](Xr,this.getLayerIndex(wt),this.getAvailableImages(wt))}return this.workerSources[wt][tr][ir]},Yn.prototype.getDEMWorkerSource=function(wt,tr){return this.demWorkerSources[wt]||(this.demWorkerSources[wt]={}),this.demWorkerSources[wt][tr]||(this.demWorkerSources[wt][tr]=new b),this.demWorkerSources[wt][tr]},Yn.prototype.enforceCacheSizeLimit=function(wt,tr){i.enforceCacheSizeLimit(tr)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new Yn(self)),Yn}),n([\"./shared\"],function(i){\"use strict\";var 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Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray}function de(){return Function.prototype&&Function.prototype.bind}function ne(){return Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions}function we(){return\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON}function Oe(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var It=new Blob([\"\"],{type:\"text/javascript\"}),Bt=URL.createObjectURL(It),Ft,Ut;try{Ut=new Worker(Bt),Ft=!0}catch(zt){Ft=!1}return Ut&&Ut.terminate(),URL.revokeObjectURL(Bt),Ft}function ht(){return\"Uint8ClampedArray\"in 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O&&h?Y.addEventListener(D,J,O):Y.addEventListener(D,J,O.capture)},o.removeEventListener=function(Y,D,J,O){O===void 0&&(O={}),\"passive\"in O&&h?Y.removeEventListener(D,J,O):Y.removeEventListener(D,J,O.capture)};var v=function(Y){Y.preventDefault(),Y.stopPropagation(),i.window.removeEventListener(\"click\",v,!0)};o.suppressClick=function(){i.window.addEventListener(\"click\",v,!0),i.window.setTimeout(function(){i.window.removeEventListener(\"click\",v,!0)},0)},o.mousePos=function(Y,D){var J=Y.getBoundingClientRect();return new i.Point(D.clientX-J.left-Y.clientLeft,D.clientY-J.top-Y.clientTop)},o.touchPos=function(Y,D){for(var J=Y.getBoundingClientRect(),O=[],K=0;K<D.length;K++)O.push(new i.Point(D[K].clientX-J.left-Y.clientLeft,D[K].clientY-J.top-Y.clientTop));return O},o.mouseButton=function(Y){return typeof i.window.InstallTrigger!=\"undefined\"&&Y.button===2&&Y.ctrlKey&&i.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:Y.button},o.remove=function(Y){Y.parentNode&&Y.parentNode.removeChild(Y)};function m(Y,D,J){var O,K,de,ne=i.browser.devicePixelRatio>1?\"@2x\":\"\",we=i.getJSON(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".json\"),i.ResourceType.SpriteJSON),function(Yt,cr){we=null,de||(de=Yt,O=cr,ht())}),Oe=i.getImage(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".png\"),i.ResourceType.SpriteImage),function(Yt,cr){Oe=null,de||(de=Yt,K=cr,ht())});function ht(){if(de)J(de);else if(O&&K){var Yt=i.browser.getImageData(K),cr={};for(var Nt in O){var Ne=O[Nt],$e=Ne.width,st=Ne.height,It=Ne.x,Bt=Ne.y,Ft=Ne.sdf,Ut=Ne.pixelRatio,zt=Ne.stretchX,_t=Ne.stretchY,Dt=Ne.content,vt=new i.RGBAImage({width:$e,height:st});i.RGBAImage.copy(Yt,vt,{x:It,y:Bt},{x:0,y:0},{width:$e,height:st}),cr[Nt]={data:vt,pixelRatio:Ut,sdf:Ft,stretchX:zt,stretchY:_t,content:Dt}}J(null,cr)}}return{cancel:function(){we&&(we.cancel(),we=null),Oe&&(Oe.cancel(),Oe=null)}}}function b(Y){var D=Y.userImage;if(D&&D.render){var J=D.render();if(J)return Y.data.replace(new Uint8Array(D.data.buffer)),!0}return!1}var p=1,k=(function(Y){function D(){Y.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new i.RGBAImage({width:1,height:1}),this.dirty=!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.isLoaded=function(){return this.loaded},D.prototype.setLoaded=function(O){if(this.loaded!==O&&(this.loaded=O,O)){for(var K=0,de=this.requestors;K<de.length;K+=1){var ne=de[K],we=ne.ids,Oe=ne.callback;this._notify(we,Oe)}this.requestors=[]}},D.prototype.getImage=function(O){return this.images[O]},D.prototype.addImage=function(O,K){this._validate(O,K)&&(this.images[O]=K)},D.prototype._validate=function(O,K){var de=!0;return this._validateStretch(K.stretchX,K.data&&K.data.width)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"stretchX\" value'))),de=!1),this._validateStretch(K.stretchY,K.data&&K.data.height)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"stretchY\" value'))),de=!1),this._validateContent(K.content,K)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"content\" value'))),de=!1),de},D.prototype._validateStretch=function(O,K){if(!O)return!0;for(var de=0,ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];if(Oe[0]<de||Oe[1]<Oe[0]||K<Oe[1])return!1;de=Oe[1]}return!0},D.prototype._validateContent=function(O,K){return O?!(O.length!==4||O[0]<0||K.data.width<O[0]||O[1]<0||K.data.height<O[1]||O[2]<0||K.data.width<O[2]||O[3]<0||K.data.height<O[3]||O[2]<O[0]||O[3]<O[1]):!0},D.prototype.updateImage=function(O,K){var de=this.images[O];K.version=de.version+1,this.images[O]=K,this.updatedImages[O]=!0},D.prototype.removeImage=function(O){var K=this.images[O];delete this.images[O],delete this.patterns[O],K.userImage&&K.userImage.onRemove&&K.userImage.onRemove()},D.prototype.listImages=function(){return Object.keys(this.images)},D.prototype.getImages=function(O,K){var de=!0;if(!this.isLoaded())for(var ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];this.images[Oe]||(de=!1)}this.isLoaded()||de?this._notify(O,K):this.requestors.push({ids:O,callback:K})},D.prototype._notify=function(O,K){for(var de={},ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];this.images[Oe]||this.fire(new i.Event(\"styleimagemissing\",{id:Oe}));var ht=this.images[Oe];ht?de[Oe]={data:ht.data.clone(),pixelRatio:ht.pixelRatio,sdf:ht.sdf,version:ht.version,stretchX:ht.stretchX,stretchY:ht.stretchY,content:ht.content,hasRenderCallback:!!(ht.userImage&&ht.userImage.render)}:i.warnOnce('Image \"'+Oe+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}K(null,de)},D.prototype.getPixelSize=function(){var O=this.atlasImage,K=O.width,de=O.height;return{width:K,height:de}},D.prototype.getPattern=function(O){var K=this.patterns[O],de=this.getImage(O);if(!de)return null;if(K&&K.position.version===de.version)return K.position;if(K)K.position.version=de.version;else{var ne=de.data.width+p*2,we=de.data.height+p*2,Oe={w:ne,h:we,x:0,y:0},ht=new i.ImagePosition(Oe,de);this.patterns[O]={bin:Oe,position:ht}}return this._updatePatternAtlas(),this.patterns[O].position},D.prototype.bind=function(O){var K=O.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new i.Texture(O,this.atlasImage,K.RGBA),this.atlasTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE)},D.prototype._updatePatternAtlas=function(){var O=[];for(var K in this.patterns)O.push(this.patterns[K].bin);var de=i.potpack(O),ne=de.w,we=de.h,Oe=this.atlasImage;Oe.resize({width:ne||1,height:we||1});for(var ht in this.patterns){var Yt=this.patterns[ht],cr=Yt.bin,Nt=cr.x+p,Ne=cr.y+p,$e=this.images[ht].data,st=$e.width,It=$e.height;i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt,y:Ne},{width:st,height:It}),i.RGBAImage.copy($e,Oe,{x:0,y:It-1},{x:Nt,y:Ne-1},{width:st,height:1}),i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt,y:Ne+It},{width:st,height:1}),i.RGBAImage.copy($e,Oe,{x:st-1,y:0},{x:Nt-1,y:Ne},{width:1,height:It}),i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt+st,y:Ne},{width:1,height:It})}this.dirty=!0},D.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},D.prototype.dispatchRenderCallbacks=function(O){for(var K=0,de=O;K<de.length;K+=1){var ne=de[K];if(!this.callbackDispatchedThisFrame[ne]){this.callbackDispatchedThisFrame[ne]=!0;var we=this.images[ne],Oe=b(we);Oe&&this.updateImage(ne,we)}}},D})(i.Evented);function M(Y,D,J,O,K){var de=D*256,ne=de+255,we=O.transformRequest(O.normalizeGlyphsURL(J).replace(\"{fontstack}\",Y).replace(\"{range}\",de+\"-\"+ne),i.ResourceType.Glyphs);i.getArrayBuffer(we,function(Oe,ht){if(Oe)K(Oe);else if(ht){for(var Yt={},cr=0,Nt=i.parseGlyphPBF(ht);cr<Nt.length;cr+=1){var Ne=Nt[cr];Yt[Ne.id]=Ne}K(null,Yt)}})}var T=C,L=C,x=1e20;function C(Y,D,J,O,K,de){this.fontSize=Y||24,this.buffer=D===void 0?3:D,this.cutoff=O||.25,this.fontFamily=K||\"sans-serif\",this.fontWeight=de||\"normal\",this.radius=J||8;var ne=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=ne,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(ne*ne),this.gridInner=new Float64Array(ne*ne),this.f=new Float64Array(ne),this.d=new Float64Array(ne),this.z=new Float64Array(ne+1),this.v=new Int16Array(ne),this.middle=Math.round(ne/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var D=this.ctx.getImageData(0,0,this.size,this.size),J=new Uint8ClampedArray(this.size*this.size),O=0;O<this.size*this.size;O++){var K=D.data[O*4+3]/255;this.gridOuter[O]=K===1?0:K===0?x:Math.pow(Math.max(0,.5-K),2),this.gridInner[O]=K===1?x:K===0?0:Math.pow(Math.max(0,K-.5),2)}for(S(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),S(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),O=0;O<this.size*this.size;O++){var de=this.gridOuter[O]-this.gridInner[O];J[O]=Math.max(0,Math.min(255,Math.round(255-255*(de/this.radius+this.cutoff))))}return J};function S(Y,D,J,O,K,de,ne){for(var we=0;we<D;we++){for(var Oe=0;Oe<J;Oe++)O[Oe]=Y[Oe*D+we];for(g(O,K,de,ne,J),Oe=0;Oe<J;Oe++)Y[Oe*D+we]=K[Oe]}for(Oe=0;Oe<J;Oe++){for(we=0;we<D;we++)O[we]=Y[Oe*D+we];for(g(O,K,de,ne,D),we=0;we<D;we++)Y[Oe*D+we]=Math.sqrt(K[we])}}function g(Y,D,J,O,K){J[0]=0,O[0]=-x,O[1]=+x;for(var de=1,ne=0;de<K;de++){for(var we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);we<=O[ne];)ne--,we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);ne++,J[ne]=de,O[ne]=we,O[ne+1]=+x}for(de=0,ne=0;de<K;de++){for(;O[ne+1]<de;)ne++;D[de]=(de-J[ne])*(de-J[ne])+Y[J[ne]]}}T.default=L;var P=function(D,J){this.requestManager=D,this.localIdeographFontFamily=J,this.entries={}};P.prototype.setURL=function(D){this.url=D},P.prototype.getGlyphs=function(D,J){var O=this,K=[];for(var de in D)for(var ne=0,we=D[de];ne<we.length;ne+=1){var Oe=we[ne];K.push({stack:de,id:Oe})}i.asyncAll(K,function(ht,Yt){var cr=ht.stack,Nt=ht.id,Ne=O.entries[cr];Ne||(Ne=O.entries[cr]={glyphs:{},requests:{},ranges:{}});var $e=Ne.glyphs[Nt];if($e!==void 0){Yt(null,{stack:cr,id:Nt,glyph:$e});return}if($e=O._tinySDF(Ne,cr,Nt),$e){Ne.glyphs[Nt]=$e,Yt(null,{stack:cr,id:Nt,glyph:$e});return}var st=Math.floor(Nt/256);if(st*256>65535){Yt(new Error(\"glyphs > 65535 not supported\"));return}if(Ne.ranges[st]){Yt(null,{stack:cr,id:Nt,glyph:$e});return}var It=Ne.requests[st];It||(It=Ne.requests[st]=[],P.loadGlyphRange(cr,st,O.url,O.requestManager,function(Bt,Ft){if(Ft){for(var Ut in Ft)O._doesCharSupportLocalGlyph(+Ut)||(Ne.glyphs[+Ut]=Ft[+Ut]);Ne.ranges[st]=!0}for(var zt=0,_t=It;zt<_t.length;zt+=1){var Dt=_t[zt];Dt(Bt,Ft)}delete Ne.requests[st]})),It.push(function(Bt,Ft){Bt?Yt(Bt):Ft&&Yt(null,{stack:cr,id:Nt,glyph:Ft[Nt]||null})})},function(ht,Yt){if(ht)J(ht);else if(Yt){for(var cr={},Nt=0,Ne=Yt;Nt<Ne.length;Nt+=1){var $e=Ne[Nt],st=$e.stack,It=$e.id,Bt=$e.glyph;(cr[st]||(cr[st]={}))[It]=Bt&&{id:Bt.id,bitmap:Bt.bitmap.clone(),metrics:Bt.metrics}}J(null,cr)}})},P.prototype._doesCharSupportLocalGlyph=function(D){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](D)||i.isChar[\"Hangul Syllables\"](D)||i.isChar.Hiragana(D)||i.isChar.Katakana(D))},P.prototype._tinySDF=function(D,J,O){var K=this.localIdeographFontFamily;if(K&&this._doesCharSupportLocalGlyph(O)){var de=D.tinySDF;if(!de){var ne=\"400\";/bold/i.test(J)?ne=\"900\":/medium/i.test(J)?ne=\"500\":/light/i.test(J)&&(ne=\"200\"),de=D.tinySDF=new P.TinySDF(24,3,8,.25,K,ne)}return{id:O,bitmap:new i.AlphaImage({width:30,height:30},de.draw(String.fromCharCode(O))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=M,P.TinySDF=T;var E=function(){this.specification=i.styleSpec.light.position};E.prototype.possiblyEvaluate=function(D,J){return i.sphericalToCartesian(D.expression.evaluate(J))},E.prototype.interpolate=function(D,J,O){return{x:i.number(D.x,J.x,O),y:i.number(D.y,J.y,O),z:i.number(D.z,J.z,O)}};var z=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new E,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),q=\"-transition\",V=(function(Y){function D(J){Y.call(this),this._transitionable=new i.Transitionable(z),this.setLight(J),this._transitioning=this._transitionable.untransitioned()}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getLight=function(){return this._transitionable.serialize()},D.prototype.setLight=function(O,K){if(K===void 0&&(K={}),!this._validate(i.validateLight,O,K))for(var de in O){var ne=O[de];i.endsWith(de,q)?this._transitionable.setTransition(de.slice(0,-q.length),ne):this._transitionable.setValue(de,ne)}},D.prototype.updateTransitions=function(O){this._transitioning=this._transitionable.transitioned(O,this._transitioning)},D.prototype.hasTransition=function(){return this._transitioning.hasTransition()},D.prototype.recalculate=function(O){this.properties=this._transitioning.possiblyEvaluate(O)},D.prototype._validate=function(O,K,de){return de&&de.validate===!1?!1:i.emitValidationErrors(this,O.call(i.validateStyle,i.extend({value:K,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},D})(i.Evented),G=function(D,J){this.width=D,this.height=J,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};G.prototype.getDash=function(D,J){var O=D.join(\",\")+String(J);return this.dashEntry[O]||(this.dashEntry[O]=this.addDash(D,J)),this.dashEntry[O]},G.prototype.getDashRanges=function(D,J,O){var K=D.length%2===1,de=[],ne=K?-D[D.length-1]*O:0,we=D[0]*O,Oe=!0;de.push({left:ne,right:we,isDash:Oe,zeroLength:D[0]===0});for(var ht=D[0],Yt=1;Yt<D.length;Yt++){Oe=!Oe;var cr=D[Yt];ne=ht*O,ht+=cr,we=ht*O,de.push({left:ne,right:we,isDash:Oe,zeroLength:cr===0})}return de},G.prototype.addRoundDash=function(D,J,O){for(var K=J/2,de=-O;de<=O;de++)for(var ne=this.nextRow+O+de,we=this.width*ne,Oe=0,ht=D[Oe],Yt=0;Yt<this.width;Yt++){Yt/ht.right>1&&(ht=D[++Oe]);var cr=Math.abs(Yt-ht.left),Nt=Math.abs(Yt-ht.right),Ne=Math.min(cr,Nt),$e=void 0,st=de/O*(K+1);if(ht.isDash){var It=K-Math.abs(st);$e=Math.sqrt(Ne*Ne+It*It)}else $e=K-Math.sqrt(Ne*Ne+st*st);this.data[we+Yt]=Math.max(0,Math.min(255,$e+128))}},G.prototype.addRegularDash=function(D){for(var J=D.length-1;J>=0;--J){var O=D[J],K=D[J+1];O.zeroLength?D.splice(J,1):K&&K.isDash===O.isDash&&(K.left=O.left,D.splice(J,1))}var de=D[0],ne=D[D.length-1];de.isDash===ne.isDash&&(de.left=ne.left-this.width,ne.right=de.right+this.width);for(var we=this.width*this.nextRow,Oe=0,ht=D[Oe],Yt=0;Yt<this.width;Yt++){Yt/ht.right>1&&(ht=D[++Oe]);var cr=Math.abs(Yt-ht.left),Nt=Math.abs(Yt-ht.right),Ne=Math.min(cr,Nt),$e=ht.isDash?Ne:-Ne;this.data[we+Yt]=Math.max(0,Math.min(255,$e+128))}},G.prototype.addDash=function(D,J){var O=J?7:0,K=2*O+1;if(this.nextRow+K>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var de=0,ne=0;ne<D.length;ne++)de+=D[ne];if(de!==0){var we=this.width/de,Oe=this.getDashRanges(D,this.width,we);J?this.addRoundDash(Oe,we,O):this.addRegularDash(Oe)}var ht={y:(this.nextRow+O+.5)/this.height,height:2*O/this.height,width:de};return this.nextRow+=K,this.dirty=!0,ht},G.prototype.bind=function(D){var J=D.gl;this.texture?(J.bindTexture(J.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,J.texSubImage2D(J.TEXTURE_2D,0,0,0,this.width,this.height,J.ALPHA,J.UNSIGNED_BYTE,this.data))):(this.texture=J.createTexture(),J.bindTexture(J.TEXTURE_2D,this.texture),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_S,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_T,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MIN_FILTER,J.LINEAR),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MAG_FILTER,J.LINEAR),J.texImage2D(J.TEXTURE_2D,0,J.ALPHA,this.width,this.height,0,J.ALPHA,J.UNSIGNED_BYTE,this.data))};var Z=function Y(D,J){this.workerPool=D,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var O=this.workerPool.acquire(this.id),K=0;K<O.length;K++){var de=O[K],ne=new Y.Actor(de,J,this.id);ne.name=\"Worker \"+K,this.actors.push(ne)}};Z.prototype.broadcast=function(D,J,O){O=O||function(){},i.asyncAll(this.actors,function(K,de){K.send(D,J,de)},O)},Z.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},Z.prototype.remove=function(){this.actors.forEach(function(D){D.remove()}),this.actors=[],this.workerPool.release(this.id)},Z.Actor=i.Actor;function j(Y,D,J){var O=function(K,de){if(K)return J(K);if(de){var ne=i.pick(i.extend(de,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);de.vector_layers&&(ne.vectorLayers=de.vector_layers,ne.vectorLayerIds=ne.vectorLayers.map(function(we){return we.id})),ne.tiles=D.canonicalizeTileset(ne,Y.url),J(null,ne)}};return Y.url?i.getJSON(D.transformRequest(D.normalizeSourceURL(Y.url),i.ResourceType.Source),O):i.browser.frame(function(){return O(null,Y)})}var N=function(D,J,O){this.bounds=i.LngLatBounds.convert(this.validateBounds(D)),this.minzoom=J||0,this.maxzoom=O||24};N.prototype.validateBounds=function(D){return!Array.isArray(D)||D.length!==4?[-180,-90,180,90]:[Math.max(-180,D[0]),Math.max(-90,D[1]),Math.min(180,D[2]),Math.min(90,D[3])]},N.prototype.contains=function(D){var J=Math.pow(2,D.z),O={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*J),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*J),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*J),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*J)},K=D.x>=O.minX&&D.x<O.maxX&&D.y>=O.minY&&D.y<O.maxY;return K};var H=(function(Y){function D(J,O,K,de){if(Y.call(this),this.id=J,this.dispatcher=K,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},O),this._collectResourceTiming=O.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(de)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){O._tileJSONRequest=null,O._loaded=!0,K?O.fire(new i.ErrorEvent(K)):de&&(i.extend(O,de),de.bounds&&(O.tileBounds=new N(de.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(de.tiles,O.map._requestManager._customAccessToken),i.postMapLoadEvent(de.tiles,O.map._getMapId(),O.map._requestManager._skuToken,O.map._requestManager._customAccessToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setSourceProperty=function(O){this._tileJSONRequest&&this._tileJSONRequest.cancel(),O();var K=this.map.style.sourceCaches[this.id];K.clearTiles(),this.load()},D.prototype.setTiles=function(O){var K=this;return this.setSourceProperty(function(){K._options.tiles=O}),this},D.prototype.setUrl=function(O){var K=this;return this.setSourceProperty(function(){K.url=O,K._options.url=O}),this},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.loadTile=function(O,K){var de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme)),ne={request:this.map._requestManager.transformRequest(de,i.ResourceType.Tile),uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,tileSize:this.tileSize*O.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};ne.request.collectResourceTiming=this._collectResourceTiming,!O.actor||O.state===\"expired\"?(O.actor=this.dispatcher.getActor(),O.request=O.actor.send(\"loadTile\",ne,we.bind(this))):O.state===\"loading\"?O.reloadCallback=K:O.request=O.actor.send(\"reloadTile\",ne,we.bind(this));function we(Oe,ht){if(delete O.request,O.aborted)return K(null);if(Oe&&Oe.status!==404)return K(Oe);ht&&ht.resourceTiming&&(O.resourceTiming=ht.resourceTiming),this.map._refreshExpiredTiles&&ht&&O.setExpiryData(ht),O.loadVectorData(ht,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),K(null),O.reloadCallback&&(this.loadTile(O,O.reloadCallback),O.reloadCallback=null)}},D.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.actor&&O.actor.send(\"abortTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},D.prototype.unloadTile=function(O){O.unloadVectorData(),O.actor&&O.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},D.prototype.hasTransition=function(){return!1},D})(i.Evented),re=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.setEventedParent(de),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},O),i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){O._tileJSONRequest=null,O._loaded=!0,K?O.fire(new i.ErrorEvent(K)):de&&(i.extend(O,de),de.bounds&&(O.tileBounds=new N(de.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(de.tiles),i.postMapLoadEvent(de.tiles,O.map._getMapId(),O.map._requestManager._skuToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},D.prototype.loadTile=function(O,K){var de=this,ne=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(ne,i.ResourceType.Tile),function(we,Oe){if(delete O.request,O.aborted)O.state=\"unloaded\",K(null);else if(we)O.state=\"errored\",K(we);else if(Oe){de.map._refreshExpiredTiles&&O.setExpiryData(Oe),delete Oe.cacheControl,delete Oe.expires;var ht=de.map.painter.context,Yt=ht.gl;O.texture=de.map.painter.getTileTexture(Oe.width),O.texture?O.texture.update(Oe,{useMipmap:!0}):(O.texture=new i.Texture(ht,Oe,Yt.RGBA,{useMipmap:!0}),O.texture.bind(Yt.LINEAR,Yt.CLAMP_TO_EDGE,Yt.LINEAR_MIPMAP_NEAREST),ht.extTextureFilterAnisotropic&&Yt.texParameterf(Yt.TEXTURE_2D,ht.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,ht.extTextureFilterAnisotropicMax)),O.state=\"loaded\",i.cacheEntryPossiblyAdded(de.dispatcher),K(null)}})},D.prototype.abortTile=function(O,K){O.request&&(O.request.cancel(),delete O.request),K()},D.prototype.unloadTile=function(O,K){O.texture&&this.map.painter.saveTileTexture(O.texture),K()},D.prototype.hasTransition=function(){return!1},D})(i.Evented),ae=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},O),this.encoding=O.encoding||\"mapbox\"}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},D.prototype.loadTile=function(O,K){var de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),ne.bind(this)),O.neighboringTiles=this._getNeighboringTiles(O.tileID);function ne(Oe,ht){if(delete O.request,O.aborted)O.state=\"unloaded\",K(null);else if(Oe)O.state=\"errored\",K(Oe);else if(ht){this.map._refreshExpiredTiles&&O.setExpiryData(ht),delete ht.cacheControl,delete ht.expires;var Yt=i.window.ImageBitmap&&ht instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),cr=Yt?ht:i.browser.getImageData(ht,1),Nt={uid:O.uid,coord:O.tileID,source:this.id,rawImageData:cr,encoding:this.encoding};(!O.actor||O.state===\"expired\")&&(O.actor=this.dispatcher.getActor(),O.actor.send(\"loadDEMTile\",Nt,we.bind(this)))}}function we(Oe,ht){Oe&&(O.state=\"errored\",K(Oe)),ht&&(O.dem=ht,O.needsHillshadePrepare=!0,O.state=\"loaded\",K(null))}},D.prototype._getNeighboringTiles=function(O){var K=O.canonical,de=Math.pow(2,K.z),ne=(K.x-1+de)%de,we=K.x===0?O.wrap-1:O.wrap,Oe=(K.x+1+de)%de,ht=K.x+1===de?O.wrap+1:O.wrap,Yt={};return Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y).key]={backfilled:!1},K.y>0&&(Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y-1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,O.wrap,K.z,K.x,K.y-1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y-1).key]={backfilled:!1}),K.y+1<de&&(Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y+1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,O.wrap,K.z,K.x,K.y+1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y+1).key]={backfilled:!1}),Yt},D.prototype.unloadTile=function(O){O.demTexture&&this.map.painter.saveTileTexture(O.demTexture),O.fbo&&(O.fbo.destroy(),delete O.fbo),O.dem&&delete O.dem,delete O.neighboringTiles,O.state=\"unloaded\",O.actor&&O.actor.send(\"removeDEMTile\",{uid:O.uid,source:this.id})},D})(re),_e=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=K.getActor(),this.setEventedParent(de),this._data=O.data,this._options=i.extend({},O),this._collectResourceTiming=O.collectResourceTiming,this._resourceTiming=[],O.maxzoom!==void 0&&(this.maxzoom=O.maxzoom),O.type&&(this.type=O.type),O.attribution&&(this.attribution=O.attribution),this.promoteId=O.promoteId;var ne=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:O.cluster||!1,geojsonVtOptions:{buffer:(O.buffer!==void 0?O.buffer:128)*ne,tolerance:(O.tolerance!==void 0?O.tolerance:.375)*ne,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:O.lineMetrics||!1,generateId:O.generateId||!1},superclusterOptions:{maxZoom:O.clusterMaxZoom!==void 0?Math.min(O.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,O.clusterMinPoints||2),extent:i.EXTENT,radius:(O.clusterRadius||50)*ne,log:!1,generateId:O.generateId||!1},clusterProperties:O.clusterProperties,filter:O.filter},O.workerOptions)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(K){if(K){O.fire(new i.ErrorEvent(K));return}var de={dataType:\"source\",sourceDataType:\"metadata\"};O._collectResourceTiming&&O._resourceTiming&&O._resourceTiming.length>0&&(de.resourceTiming=O._resourceTiming,O._resourceTiming=[]),O.fire(new i.Event(\"data\",de))})},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setData=function(O){var K=this;return this._data=O,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(de){if(de){K.fire(new i.ErrorEvent(de));return}var ne={dataType:\"source\",sourceDataType:\"content\"};K._collectResourceTiming&&K._resourceTiming&&K._resourceTiming.length>0&&(ne.resourceTiming=K._resourceTiming,K._resourceTiming=[]),K.fire(new i.Event(\"data\",ne))}),this},D.prototype.getClusterExpansionZoom=function(O,K){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:O,source:this.id},K),this},D.prototype.getClusterChildren=function(O,K){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:O,source:this.id},K),this},D.prototype.getClusterLeaves=function(O,K,de,ne){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:O,limit:K,offset:de},ne),this},D.prototype._updateWorkerData=function(O){var K=this;this._loaded=!1;var de=i.extend({},this.workerOptions),ne=this._data;typeof ne==\"string\"?(de.request=this.map._requestManager.transformRequest(i.browser.resolveURL(ne),i.ResourceType.Source),de.request.collectResourceTiming=this._collectResourceTiming):de.data=JSON.stringify(ne),this.actor.send(this.type+\".loadData\",de,function(we,Oe){K._removed||Oe&&Oe.abandoned||(K._loaded=!0,Oe&&Oe.resourceTiming&&Oe.resourceTiming[K.id]&&(K._resourceTiming=Oe.resourceTiming[K.id].slice(0)),K.actor.send(K.type+\".coalesce\",{source:de.source},null),O(we))})},D.prototype.loaded=function(){return this._loaded},D.prototype.loadTile=function(O,K){var de=this,ne=O.actor?\"reloadTile\":\"loadTile\";O.actor=this.actor;var we={type:this.type,uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};O.request=this.actor.send(ne,we,function(Oe,ht){return delete O.request,O.unloadVectorData(),O.aborted?K(null):Oe?K(Oe):(O.loadVectorData(ht,de.map.painter,ne===\"reloadTile\"),K(null))})},D.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.aborted=!0},D.prototype.unloadTile=function(O){O.unloadVectorData(),this.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id})},D.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},D.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},D.prototype.hasTransition=function(){return!1},D})(i.Evented),Ee=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),Ce=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.coordinates=O.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(de),this.options=O}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(O,K){var de=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(ne,we){de._loaded=!0,ne?de.fire(new i.ErrorEvent(ne)):we&&(de.image=we,O&&(de.coordinates=O),K&&K(),de._finishLoading())})},D.prototype.loaded=function(){return this._loaded},D.prototype.updateImage=function(O){var K=this;return!this.image||!O.url?this:(this.options.url=O.url,this.load(O.coordinates,function(){K.texture=null}),this)},D.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setCoordinates=function(O){var K=this;this.coordinates=O;var de=O.map(i.MercatorCoordinate.fromLngLat);this.tileID=ge(de),this.minzoom=this.maxzoom=this.tileID.z;var ne=de.map(function(we){return K.tileID.getTilePoint(we)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(ne[0].x,ne[0].y,0,0),this._boundsArray.emplaceBack(ne[1].x,ne[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(ne[3].x,ne[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(ne[2].x,ne[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var O=this.map.painter.context,K=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(O,this.image,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.loadTile=function(O,K){this.tileID&&this.tileID.equals(O.tileID.canonical)?(this.tiles[String(O.tileID.wrap)]=O,O.buckets={},K(null)):(O.state=\"errored\",K(null))},D.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return!1},D})(i.Evented);function ge(Y){for(var D=1/0,J=1/0,O=-1/0,K=-1/0,de=0,ne=Y;de<ne.length;de+=1){var we=ne[de];D=Math.min(D,we.x),J=Math.min(J,we.y),O=Math.max(O,we.x),K=Math.max(K,we.y)}var Oe=O-D,ht=K-J,Yt=Math.max(Oe,ht),cr=Math.max(0,Math.floor(-Math.log(Yt)/Math.LN2)),Nt=Math.pow(2,cr);return new i.CanonicalTileID(cr,Math.floor((D+O)/2*Nt),Math.floor((J+K)/2*Nt))}var ie=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),this.roundZoom=!0,this.type=\"video\",this.options=O}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1;var K=this.options;this.urls=[];for(var de=0,ne=K.urls;de<ne.length;de+=1){var we=ne[de];this.urls.push(this.map._requestManager.transformRequest(we,i.ResourceType.Source).url)}i.getVideo(this.urls,function(Oe,ht){O._loaded=!0,Oe?O.fire(new i.ErrorEvent(Oe)):ht&&(O.video=ht,O.video.loop=!0,O.video.addEventListener(\"playing\",function(){O.map.triggerRepaint()}),O.map&&O.video.play(),O._finishLoading())})},D.prototype.pause=function(){this.video&&this.video.pause()},D.prototype.play=function(){this.video&&this.video.play()},D.prototype.seek=function(O){if(this.video){var K=this.video.seekable;O<K.start(0)||O>K.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+K.start(0)+\" and \"+K.end(0)+\"-second mark.\"))):this.video.currentTime=O}},D.prototype.getVideo=function(){return this.video},D.prototype.onAdd=function(O){this.map||(this.map=O,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var O=this.map.painter.context,K=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE),K.texSubImage2D(K.TEXTURE_2D,0,0,0,K.RGBA,K.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(O,this.video,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this.video&&!this.video.paused},D})(Ce),Se=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),O.coordinates?(!Array.isArray(O.coordinates)||O.coordinates.length!==4||O.coordinates.some(function(ne){return!Array.isArray(ne)||ne.length!==2||ne.some(function(we){return typeof we!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"coordinates\"'))),O.animate&&typeof O.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'optional \"animate\" property must be a boolean value'))),O.canvas?typeof O.canvas!=\"string\"&&!(O.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"canvas\"'))),this.options=O,this.animate=O.animate!==void 0?O.animate:!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},D.prototype.getCanvas=function(){return this.canvas},D.prototype.onAdd=function(O){this.map=O,this.load(),this.canvas&&this.animate&&this.play()},D.prototype.onRemove=function(){this.pause()},D.prototype.prepare=function(){var O=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,O=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,O=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var K=this.map.painter.context,de=K.gl;this.boundsBuffer||(this.boundsBuffer=K.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(O||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture(K,this.canvas,de.RGBA,{premultiply:!0});for(var ne in this.tiles){var we=this.tiles[ne];we.state!==\"loaded\"&&(we.state=\"loaded\",we.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this._playing},D.prototype._hasInvalidDimensions=function(){for(var O=0,K=[this.canvas.width,this.canvas.height];O<K.length;O+=1){var de=K[O];if(isNaN(de)||de<=0)return!0}return!1},D})(Ce),ke={vector:H,raster:re,\"raster-dem\":ae,geojson:_e,video:ie,image:Ce,canvas:Se},be=function(Y,D,J,O){var K=new ke[D.type](Y,D,J,O);if(K.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+K.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],K),K},Be=function(Y){return ke[Y]},Le=function(Y,D){ke[Y]=D};function me(Y,D){var J=i.identity([]);return i.translate(J,J,[1,1,0]),i.scale(J,J,[Y.width*.5,Y.height*.5,1]),i.multiply(J,J,Y.calculatePosMatrix(D.toUnwrapped()))}function Pe(Y,D,J){if(Y)for(var O=0,K=Y;O<K.length;O+=1){var de=K[O],ne=D[de];if(ne&&ne.source===J&&ne.type===\"fill-extrusion\")return!0}else for(var we in D){var Oe=D[we];if(Oe.source===J&&Oe.type===\"fill-extrusion\")return!0}return!1}function ce(Y,D,J,O,K,de){var ne=Pe(K&&K.layers,D,Y.id),we=de.maxPitchScaleFactor(),Oe=Y.tilesIn(O,we,ne);Oe.sort(mt);for(var ht=[],Yt=0,cr=Oe;Yt<cr.length;Yt+=1){var Nt=cr[Yt];ht.push({wrappedTileID:Nt.tileID.wrapped().key,queryResults:Nt.tile.queryRenderedFeatures(D,J,Y._state,Nt.queryGeometry,Nt.cameraQueryGeometry,Nt.scale,K,de,we,me(Y.transform,Nt.tileID))})}var Ne=Ht(ht);for(var $e in Ne)Ne[$e].forEach(function(st){var It=st.feature,Bt=Y.getFeatureState(It.layer[\"source-layer\"],It.id);It.source=It.layer.source,It.layer[\"source-layer\"]&&(It.sourceLayer=It.layer[\"source-layer\"]),It.state=Bt});return Ne}function He(Y,D,J,O,K,de,ne){for(var we={},Oe=de.queryRenderedSymbols(O),ht=[],Yt=0,cr=Object.keys(Oe).map(Number);Yt<cr.length;Yt+=1){var Nt=cr[Yt];ht.push(ne[Nt])}ht.sort(mt);for(var Ne=function(){var Ft=st[$e],Ut=Ft.featureIndex.lookupSymbolFeatures(Oe[Ft.bucketInstanceId],D,Ft.bucketIndex,Ft.sourceLayerIndex,K.filter,K.layers,K.availableImages,Y);for(var zt in Ut){var _t=we[zt]=we[zt]||[],Dt=Ut[zt];Dt.sort(function(Br,Di){var ci=Ft.featureSortOrder;if(ci){var bi=ci.indexOf(Br.featureIndex),gn=ci.indexOf(Di.featureIndex);return gn-bi}else 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Fn=519,An=function(D,J,O){this.func=D,this.mask=J,this.range=O};An.ReadOnly=!1,An.ReadWrite=!0,An.disabled=new An(Fn,An.ReadOnly,[0,1]);var Hn=519,Qn=7680,Vi=function(D,J,O,K,de,ne){this.test=D,this.ref=J,this.mask=O,this.fail=K,this.depthFail=de,this.pass=ne};Vi.disabled=new Vi({func:Hn,mask:0},0,0,Qn,Qn,Qn);var Jn=0,Yn=1,Gt=771,wt=function(D,J,O){this.blendFunction=D,this.blendColor=J,this.mask=O};wt.Replace=[Yn,Jn],wt.disabled=new wt(wt.Replace,i.Color.transparent,[!1,!1,!1,!1]),wt.unblended=new wt(wt.Replace,i.Color.transparent,[!0,!0,!0,!0]),wt.alphaBlended=new wt([Yn,Gt],i.Color.transparent,[!0,!0,!0,!0]);var tr=1029,ir=2305,wr=function(D,J,O){this.enable=D,this.mode=J,this.frontFace=O};wr.disabled=new wr(!1,tr,ir),wr.backCCW=new wr(!0,tr,ir);var Xr=function(D){this.gl=D,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new tt(this),this.clearDepth=new je(this),this.clearStencil=new Ue(this),this.colorMask=new Ae(this),this.depthMask=new rt(this),this.stencilMask=new St(this),this.stencilFunc=new Tt(this),this.stencilOp=new dt(this),this.stencilTest=new Et(this),this.depthRange=new pt(this),this.depthTest=new jt(this),this.depthFunc=new or(this),this.blend=new mr(this),this.blendFunc=new Ar(this),this.blendColor=new ei(this),this.blendEquation=new qr(this),this.cullFace=new jr(this),this.cullFaceSide=new gt(this),this.frontFace=new Ge(this),this.program=new Je(this),this.activeTexture=new We(this),this.viewport=new et(this),this.bindFramebuffer=new xt(this),this.bindRenderbuffer=new At(this),this.bindTexture=new Kt(this),this.bindVertexBuffer=new Qt(this),this.bindElementBuffer=new Mr(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new Gr(this),this.pixelStoreUnpack=new Ir(this),this.pixelStoreUnpackPremultiplyAlpha=new Yr(this),this.pixelStoreUnpackFlipY=new _i(this),this.extTextureFilterAnisotropic=D.getExtension(\"EXT_texture_filter_anisotropic\")||D.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||D.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=D.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=D.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(D.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=D.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=D.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=D.getParameter(D.MAX_TEXTURE_SIZE)};Xr.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Xr.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Xr.prototype.createIndexBuffer=function(D,J){return new ct(this,D,J)},Xr.prototype.createVertexBuffer=function(D,J,O){return new Vt(this,D,J,O)},Xr.prototype.createRenderbuffer=function(D,J,O){var K=this.gl,de=K.createRenderbuffer();return this.bindRenderbuffer.set(de),K.renderbufferStorage(K.RENDERBUFFER,D,J,O),this.bindRenderbuffer.set(null),de},Xr.prototype.createFramebuffer=function(D,J,O){return new un(this,D,J,O)},Xr.prototype.clear=function(D){var J=D.color,O=D.depth,K=this.gl,de=0;J&&(de|=K.COLOR_BUFFER_BIT,this.clearColor.set(J),this.colorMask.set([!0,!0,!0,!0])),typeof O!=\"undefined\"&&(de|=K.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(O),this.depthMask.set(!0)),K.clear(de)},Xr.prototype.setCullFace=function(D){D.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(D.mode),this.frontFace.set(D.frontFace))},Xr.prototype.setDepthMode=function(D){D.func===this.gl.ALWAYS&&!D.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(D.func),this.depthMask.set(D.mask),this.depthRange.set(D.range))},Xr.prototype.setStencilMode=function(D){D.test.func===this.gl.ALWAYS&&!D.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(D.mask),this.stencilOp.set([D.fail,D.depthFail,D.pass]),this.stencilFunc.set({func:D.test.func,ref:D.ref,mask:D.test.mask}))},Xr.prototype.setColorMode=function(D){i.deepEqual(D.blendFunction,wt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(D.blendFunction),this.blendColor.set(D.blendColor)),this.colorMask.set(D.mask)},Xr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var ti=(function(Y){function D(J,O,K){var de=this;Y.call(this),this.id=J,this.dispatcher=K,this.on(\"data\",function(ne){ne.dataType===\"source\"&&ne.sourceDataType===\"metadata\"&&(de._sourceLoaded=!0),de._sourceLoaded&&!de._paused&&ne.dataType===\"source\"&&ne.sourceDataType===\"content\"&&(de.reload(),de.transform&&de.update(de.transform))}),this.on(\"error\",function(){de._sourceErrored=!0}),this._source=be(J,O,K,this),this._tiles={},this._cache=new at(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(O){this.map=O,this._maxTileCacheSize=O?O._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(O)},D.prototype.onRemove=function(O){this._source&&this._source.onRemove&&this._source.onRemove(O)},D.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var O in this._tiles){var K=this._tiles[O];if(K.state!==\"loaded\"&&K.state!==\"errored\")return!1}return!0},D.prototype.getSource=function(){return this._source},D.prototype.pause=function(){this._paused=!0},D.prototype.resume=function(){if(this._paused){var O=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,O&&this.reload(),this.transform&&this.update(this.transform)}},D.prototype._loadTile=function(O,K){return this._source.loadTile(O,K)},D.prototype._unloadTile=function(O){if(this._source.unloadTile)return this._source.unloadTile(O,function(){})},D.prototype._abortTile=function(O){if(this._source.abortTile)return this._source.abortTile(O,function(){})},D.prototype.serialize=function(){return this._source.serialize()},D.prototype.prepare=function(O){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var K in this._tiles){var de=this._tiles[K];de.upload(O),de.prepare(this.map.style.imageManager)}},D.prototype.getIds=function(){return i.values(this._tiles).map(function(O){return O.tileID}).sort($r).map(function(O){return O.key})},D.prototype.getRenderableIds=function(O){var K=this,de=[];for(var ne in this._tiles)this._isIdRenderable(ne,O)&&de.push(this._tiles[ne]);return O?de.sort(function(we,Oe){var ht=we.tileID,Yt=Oe.tileID,cr=new i.Point(ht.canonical.x,ht.canonical.y)._rotate(K.transform.angle),Nt=new i.Point(Yt.canonical.x,Yt.canonical.y)._rotate(K.transform.angle);return ht.overscaledZ-Yt.overscaledZ||Nt.y-cr.y||Nt.x-cr.x}).map(function(we){return we.tileID.key}):de.map(function(we){return we.tileID}).sort($r).map(function(we){return we.key})},D.prototype.hasRenderableParent=function(O){var K=this.findLoadedParent(O,0);return K?this._isIdRenderable(K.tileID.key):!1},D.prototype._isIdRenderable=function(O,K){return this._tiles[O]&&this._tiles[O].hasData()&&!this._coveredTiles[O]&&(K||!this._tiles[O].holdingForFade())},D.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var O in this._tiles)this._tiles[O].state!==\"errored\"&&this._reloadTile(O,\"reloading\")},D.prototype._reloadTile=function(O,K){var de=this._tiles[O];de&&(de.state!==\"loading\"&&(de.state=K),this._loadTile(de,this._tileLoaded.bind(this,de,O,K)))},D.prototype._tileLoaded=function(O,K,de,ne){if(ne){O.state=\"errored\",ne.status!==404?this._source.fire(new i.ErrorEvent(ne,{tile:O})):this.update(this.transform);return}O.timeAdded=i.browser.now(),de===\"expired\"&&(O.refreshedUponExpiration=!0),this._setTileReloadTimer(K,O),this.getSource().type===\"raster-dem\"&&O.dem&&this._backfillDEM(O),this._state.initializeTileState(O,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:O,coord:O.tileID}))},D.prototype._backfillDEM=function(O){for(var K=this.getRenderableIds(),de=0;de<K.length;de++){var ne=K[de];if(O.neighboringTiles&&O.neighboringTiles[ne]){var we=this.getTileByID(ne);Oe(O,we),Oe(we,O)}}function Oe(ht,Yt){ht.needsHillshadePrepare=!0;var cr=Yt.tileID.canonical.x-ht.tileID.canonical.x,Nt=Yt.tileID.canonical.y-ht.tileID.canonical.y,Ne=Math.pow(2,ht.tileID.canonical.z),$e=Yt.tileID.key;cr===0&&Nt===0||Math.abs(Nt)>1||(Math.abs(cr)>1&&(Math.abs(cr+Ne)===1?cr+=Ne:Math.abs(cr-Ne)===1&&(cr-=Ne)),!(!Yt.dem||!ht.dem)&&(ht.dem.backfillBorder(Yt.dem,cr,Nt),ht.neighboringTiles&&ht.neighboringTiles[$e]&&(ht.neighboringTiles[$e].backfilled=!0)))}},D.prototype.getTile=function(O){return this.getTileByID(O.key)},D.prototype.getTileByID=function(O){return this._tiles[O]},D.prototype._retainLoadedChildren=function(O,K,de,ne){for(var we in this._tiles){var Oe=this._tiles[we];if(!(ne[we]||!Oe.hasData()||Oe.tileID.overscaledZ<=K||Oe.tileID.overscaledZ>de)){for(var ht=Oe.tileID;Oe&&Oe.tileID.overscaledZ>K+1;){var Yt=Oe.tileID.scaledTo(Oe.tileID.overscaledZ-1);Oe=this._tiles[Yt.key],Oe&&Oe.hasData()&&(ht=Yt)}for(var cr=ht;cr.overscaledZ>K;)if(cr=cr.scaledTo(cr.overscaledZ-1),O[cr.key]){ne[ht.key]=ht;break}}}},D.prototype.findLoadedParent=function(O,K){if(O.key in this._loadedParentTiles){var de=this._loadedParentTiles[O.key];return de&&de.tileID.overscaledZ>=K?de:null}for(var ne=O.overscaledZ-1;ne>=K;ne--){var we=O.scaledTo(ne),Oe=this._getLoadedTile(we);if(Oe)return Oe}},D.prototype._getLoadedTile=function(O){var K=this._tiles[O.key];if(K&&K.hasData())return K;var de=this._cache.getByKey(O.wrapped().key);return de},D.prototype.updateCacheSize=function(O){var K=Math.ceil(O.width/this._source.tileSize)+1,de=Math.ceil(O.height/this._source.tileSize)+1,ne=K*de,we=5,Oe=Math.floor(ne*we),ht=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,Oe):Oe;this._cache.setMaxSize(ht)},D.prototype.handleWrapJump=function(O){var K=this._prevLng===void 0?O:this._prevLng,de=O-K,ne=de/360,we=Math.round(ne);if(this._prevLng=O,we){var Oe={};for(var ht in this._tiles){var Yt=this._tiles[ht];Yt.tileID=Yt.tileID.unwrapTo(Yt.tileID.wrap+we),Oe[Yt.tileID.key]=Yt}this._tiles=Oe;for(var cr in this._timers)clearTimeout(this._timers[cr]),delete this._timers[cr];for(var Nt in this._tiles){var Ne=this._tiles[Nt];this._setTileReloadTimer(Nt,Ne)}}},D.prototype.update=function(O){var K=this;if(this.transform=O,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(O),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var de;this.used?this._source.tileID?de=O.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(Br){return new i.OverscaledTileID(Br.canonical.z,Br.wrap,Br.canonical.z,Br.canonical.x,Br.canonical.y)}):(de=O.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(de=de.filter(function(Br){return K._source.hasTile(Br)}))):de=[];var ne=O.coveringZoomLevel(this._source),we=Math.max(ne-D.maxOverzooming,this._source.minzoom),Oe=Math.max(ne+D.maxUnderzooming,this._source.minzoom),ht=this._updateRetainedTiles(de,ne);if(Ri(this._source.type)){for(var Yt={},cr={},Nt=Object.keys(ht),Ne=0,$e=Nt;Ne<$e.length;Ne+=1){var st=$e[Ne],It=ht[st],Bt=this._tiles[st];if(!(!Bt||Bt.fadeEndTime&&Bt.fadeEndTime<=i.browser.now())){var Ft=this.findLoadedParent(It,we);Ft&&(this._addTile(Ft.tileID),Yt[Ft.tileID.key]=Ft.tileID),cr[st]=It}}this._retainLoadedChildren(cr,ne,Oe,ht);for(var Ut in Yt)ht[Ut]||(this._coveredTiles[Ut]=!0,ht[Ut]=Yt[Ut])}for(var zt in ht)this._tiles[zt].clearFadeHold();for(var _t=i.keysDifference(this._tiles,ht),Dt=0,vt=_t;Dt<vt.length;Dt+=1){var lr=vt[Dt],_r=this._tiles[lr];_r.hasSymbolBuckets&&!_r.holdingForFade()?_r.setHoldDuration(this.map._fadeDuration):(!_r.hasSymbolBuckets||_r.symbolFadeFinished())&&this._removeTile(lr)}this._updateLoadedParentTileCache()}},D.prototype.releaseSymbolFadeTiles=function(){for(var O in this._tiles)this._tiles[O].holdingForFade()&&this._removeTile(O)},D.prototype._updateRetainedTiles=function(O,K){for(var de={},ne={},we=Math.max(K-D.maxOverzooming,this._source.minzoom),Oe=Math.max(K+D.maxUnderzooming,this._source.minzoom),ht={},Yt=0,cr=O;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=this._addTile(Nt);de[Nt.key]=Nt,!Ne.hasData()&&K<this._source.maxzoom&&(ht[Nt.key]=Nt)}this._retainLoadedChildren(ht,K,Oe,de);for(var $e=0,st=O;$e<st.length;$e+=1){var It=st[$e],Bt=this._tiles[It.key];if(!Bt.hasData()){if(K+1>this._source.maxzoom){var Ft=It.children(this._source.maxzoom)[0],Ut=this.getTile(Ft);if(Ut&&Ut.hasData()){de[Ft.key]=Ft;continue}}else{var zt=It.children(this._source.maxzoom);if(de[zt[0].key]&&de[zt[1].key]&&de[zt[2].key]&&de[zt[3].key])continue}for(var _t=Bt.wasRequested(),Dt=It.overscaledZ-1;Dt>=we;--Dt){var vt=It.scaledTo(Dt);if(ne[vt.key]||(ne[vt.key]=!0,Bt=this.getTile(vt),!Bt&&_t&&(Bt=this._addTile(vt)),Bt&&(de[vt.key]=vt,_t=Bt.wasRequested(),Bt.hasData())))break}}}return de},D.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var O in this._tiles){for(var K=[],de=void 0,ne=this._tiles[O].tileID;ne.overscaledZ>0;){if(ne.key in this._loadedParentTiles){de=this._loadedParentTiles[ne.key];break}K.push(ne.key);var we=ne.scaledTo(ne.overscaledZ-1);if(de=this._getLoadedTile(we),de)break;ne=we}for(var Oe=0,ht=K;Oe<ht.length;Oe+=1){var Yt=ht[Oe];this._loadedParentTiles[Yt]=de}}},D.prototype._addTile=function(O){var K=this._tiles[O.key];if(K)return K;K=this._cache.getAndRemove(O),K&&(this._setTileReloadTimer(O.key,K),K.tileID=O,this._state.initializeTileState(K,this.map?this.map.painter:null),this._cacheTimers[O.key]&&(clearTimeout(this._cacheTimers[O.key]),delete this._cacheTimers[O.key],this._setTileReloadTimer(O.key,K)));var de=!!K;return de||(K=new i.Tile(O,this._source.tileSize*O.overscaleFactor()),this._loadTile(K,this._tileLoaded.bind(this,K,O.key,K.state))),K?(K.uses++,this._tiles[O.key]=K,de||this._source.fire(new i.Event(\"dataloading\",{tile:K,coord:K.tileID,dataType:\"source\"})),K):null},D.prototype._setTileReloadTimer=function(O,K){var de=this;O in this._timers&&(clearTimeout(this._timers[O]),delete this._timers[O]);var ne=K.getExpiryTimeout();ne&&(this._timers[O]=setTimeout(function(){de._reloadTile(O,\"expired\"),delete de._timers[O]},ne))},D.prototype._removeTile=function(O){var K=this._tiles[O];K&&(K.uses--,delete this._tiles[O],this._timers[O]&&(clearTimeout(this._timers[O]),delete this._timers[O]),!(K.uses>0)&&(K.hasData()&&K.state!==\"reloading\"?this._cache.add(K.tileID,K,K.getExpiryTimeout()):(K.aborted=!0,this._abortTile(K),this._unloadTile(K))))},D.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var O in this._tiles)this._removeTile(O);this._cache.reset()},D.prototype.tilesIn=function(O,K,de){var ne=this,we=[],Oe=this.transform;if(!Oe)return we;for(var ht=de?Oe.getCameraQueryGeometry(O):O,Yt=O.map(function(Dt){return Oe.pointCoordinate(Dt)}),cr=ht.map(function(Dt){return Oe.pointCoordinate(Dt)}),Nt=this.getIds(),Ne=1/0,$e=1/0,st=-1/0,It=-1/0,Bt=0,Ft=cr;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt];Ne=Math.min(Ne,Ut.x),$e=Math.min($e,Ut.y),st=Math.max(st,Ut.x),It=Math.max(It,Ut.y)}for(var zt=function(Dt){var vt=ne._tiles[Nt[Dt]];if(!vt.holdingForFade()){var lr=vt.tileID,_r=Math.pow(2,Oe.zoom-vt.tileID.overscaledZ),Br=K*vt.queryPadding*i.EXTENT/vt.tileSize/_r,Di=[lr.getTilePoint(new i.MercatorCoordinate(Ne,$e)),lr.getTilePoint(new i.MercatorCoordinate(st,It))];if(Di[0].x-Br<i.EXTENT&&Di[0].y-Br<i.EXTENT&&Di[1].x+Br>=0&&Di[1].y+Br>=0){var ci=Yt.map(function(gn){return lr.getTilePoint(gn)}),bi=cr.map(function(gn){return lr.getTilePoint(gn)});we.push({tile:vt,tileID:lr,queryGeometry:ci,cameraQueryGeometry:bi,scale:_r})}}},_t=0;_t<Nt.length;_t++)zt(_t);return we},D.prototype.getVisibleCoordinates=function(O){for(var K=this,de=this.getRenderableIds(O).map(function(ht){return K._tiles[ht].tileID}),ne=0,we=de;ne<we.length;ne+=1){var Oe=we[ne];Oe.posMatrix=this.transform.calculatePosMatrix(Oe.toUnwrapped())}return de},D.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ri(this._source.type))for(var O in this._tiles){var K=this._tiles[O];if(K.fadeEndTime!==void 0&&K.fadeEndTime>=i.browser.now())return!0}return!1},D.prototype.setFeatureState=function(O,K,de){O=O||\"_geojsonTileLayer\",this._state.updateState(O,K,de)},D.prototype.removeFeatureState=function(O,K,de){O=O||\"_geojsonTileLayer\",this._state.removeFeatureState(O,K,de)},D.prototype.getFeatureState=function(O,K){return O=O||\"_geojsonTileLayer\",this._state.getState(O,K)},D.prototype.setDependencies=function(O,K,de){var ne=this._tiles[O];ne&&ne.setDependencies(K,de)},D.prototype.reloadTilesForDependencies=function(O,K){for(var de in this._tiles){var ne=this._tiles[de];ne.hasDependency(O,K)&&this._reloadTile(de,\"reloading\")}this._cache.filter(function(we){return!we.hasDependency(O,K)})},D})(i.Evented);ti.maxOverzooming=10,ti.maxUnderzooming=3;function $r(Y,D){var J=Math.abs(Y.wrap*2)-+(Y.wrap<0),O=Math.abs(D.wrap*2)-+(D.wrap<0);return Y.overscaledZ-D.overscaledZ||O-J||D.canonical.y-Y.canonical.y||D.canonical.x-Y.canonical.x}function Ri(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Hi(){return new i.window.Worker(io.workerUrl)}var en=\"mapboxgl_preloaded_worker_pool\",fn=function(){this.active={}};fn.prototype.acquire=function(D){if(!this.workers)for(this.workers=[];this.workers.length<fn.workerCount;)this.workers.push(new Hi);return this.active[D]=!0,this.workers.slice()},fn.prototype.release=function(D){delete this.active[D],this.numActive()===0&&(this.workers.forEach(function(J){J.terminate()}),this.workers=null)},fn.prototype.isPreloaded=function(){return!!this.active[en]},fn.prototype.numActive=function(){return Object.keys(this.active).length};var yn=Math.floor(i.browser.hardwareConcurrency/2);fn.workerCount=Math.max(Math.min(yn,6),1);var Mn;function Ba(){return Mn||(Mn=new fn),Mn}function ua(){var Y=Ba();Y.acquire(en)}function ma(){var Y=Mn;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(en),Mn=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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da={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function jn(Y,D,J){J.push({command:da.addSource,args:[Y,D[Y]]})}function Ha(Y,D,J){D.push({command:da.removeSource,args:[Y]}),J[Y]=!0}function vo(Y,D,J,O){Ha(Y,J,O),jn(Y,D,J)}function Gn(Y,D,J){var O;for(O in Y[J])if(Y[J].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[J][O],D[J][O]))return!1;for(O in D[J])if(D[J].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[J][O],D[J][O]))return!1;return!0}function Ct(Y,D,J,O){Y=Y||{},D=D||{};var K;for(K in Y)Y.hasOwnProperty(K)&&(D.hasOwnProperty(K)||Ha(K,J,O));for(K in D)D.hasOwnProperty(K)&&(Y.hasOwnProperty(K)?i.deepEqual(Y[K],D[K])||(Y[K].type===\"geojson\"&&D[K].type===\"geojson\"&&Gn(Y,D,K)?J.push({command:da.setGeoJSONSourceData,args:[K,D[K].data]}):vo(K,D,J,O)):jn(K,D,J))}function Sr(Y,D,J,O,K,de){Y=Y||{},D=D||{};var ne;for(ne in Y)Y.hasOwnProperty(ne)&&(i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[O,ne,D[ne],K]}));for(ne in D)!D.hasOwnProperty(ne)||Y.hasOwnProperty(ne)||i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[O,ne,D[ne],K]})}function Jr(Y){return Y.id}function hi(Y,D){return Y[D.id]=D,Y}function hn(Y,D,J){Y=Y||[],D=D||[];var O=Y.map(Jr),K=D.map(Jr),de=Y.reduce(hi,{}),ne=D.reduce(hi,{}),we=O.slice(),Oe=Object.create(null),ht,Yt,cr,Nt,Ne,$e,st;for(ht=0,Yt=0;ht<O.length;ht++)cr=O[ht],ne.hasOwnProperty(cr)?Yt++:(J.push({command:da.removeLayer,args:[cr]}),we.splice(we.indexOf(cr,Yt),1));for(ht=0,Yt=0;ht<K.length;ht++)cr=K[K.length-1-ht],we[we.length-1-ht]!==cr&&(de.hasOwnProperty(cr)?(J.push({command:da.removeLayer,args:[cr]}),we.splice(we.lastIndexOf(cr,we.length-Yt),1)):Yt++,$e=we[we.length-ht],J.push({command:da.addLayer,args:[ne[cr],$e]}),we.splice(we.length-ht,0,cr),Oe[cr]=!0);for(ht=0;ht<K.length;ht++)if(cr=K[ht],Nt=de[cr],Ne=ne[cr],!(Oe[cr]||i.deepEqual(Nt,Ne))){if(!i.deepEqual(Nt.source,Ne.source)||!i.deepEqual(Nt[\"source-layer\"],Ne[\"source-layer\"])||!i.deepEqual(Nt.type,Ne.type)){J.push({command:da.removeLayer,args:[cr]}),$e=we[we.lastIndexOf(cr)+1],J.push({command:da.addLayer,args:[Ne,$e]});continue}Sr(Nt.layout,Ne.layout,J,cr,null,da.setLayoutProperty),Sr(Nt.paint,Ne.paint,J,cr,null,da.setPaintProperty),i.deepEqual(Nt.filter,Ne.filter)||J.push({command:da.setFilter,args:[cr,Ne.filter]}),(!i.deepEqual(Nt.minzoom,Ne.minzoom)||!i.deepEqual(Nt.maxzoom,Ne.maxzoom))&&J.push({command:da.setLayerZoomRange,args:[cr,Ne.minzoom,Ne.maxzoom]});for(st in Nt)Nt.hasOwnProperty(st)&&(st===\"layout\"||st===\"paint\"||st===\"filter\"||st===\"metadata\"||st===\"minzoom\"||st===\"maxzoom\"||(st.indexOf(\"paint.\")===0?Sr(Nt[st],Ne[st],J,cr,st.slice(6),da.setPaintProperty):i.deepEqual(Nt[st],Ne[st])||J.push({command:da.setLayerProperty,args:[cr,st,Ne[st]]})));for(st in Ne)!Ne.hasOwnProperty(st)||Nt.hasOwnProperty(st)||st===\"layout\"||st===\"paint\"||st===\"filter\"||st===\"metadata\"||st===\"minzoom\"||st===\"maxzoom\"||(st.indexOf(\"paint.\")===0?Sr(Nt[st],Ne[st],J,cr,st.slice(6),da.setPaintProperty):i.deepEqual(Nt[st],Ne[st])||J.push({command:da.setLayerProperty,args:[cr,st,Ne[st]]}))}}function Sn(Y,D){if(!Y)return[{command:da.setStyle,args:[D]}];var J=[];try{if(!i.deepEqual(Y.version,D.version))return[{command:da.setStyle,args:[D]}];i.deepEqual(Y.center,D.center)||J.push({command:da.setCenter,args:[D.center]}),i.deepEqual(Y.zoom,D.zoom)||J.push({command:da.setZoom,args:[D.zoom]}),i.deepEqual(Y.bearing,D.bearing)||J.push({command:da.setBearing,args:[D.bearing]}),i.deepEqual(Y.pitch,D.pitch)||J.push({command:da.setPitch,args:[D.pitch]}),i.deepEqual(Y.sprite,D.sprite)||J.push({command:da.setSprite,args:[D.sprite]}),i.deepEqual(Y.glyphs,D.glyphs)||J.push({command:da.setGlyphs,args:[D.glyphs]}),i.deepEqual(Y.transition,D.transition)||J.push({command:da.setTransition,args:[D.transition]}),i.deepEqual(Y.light,D.light)||J.push({command:da.setLight,args:[D.light]});var O={},K=[];Ct(Y.sources,D.sources,K,O);var de=[];Y.layers&&Y.layers.forEach(function(ne){O[ne.source]?J.push({command:da.removeLayer,args:[ne.id]}):de.push(ne)}),J=J.concat(K),hn(de,D.layers,J)}catch(ne){console.warn(\"Unable to compute style diff:\",ne),J=[{command:da.setStyle,args:[D]}]}return J}var En=function(D,J){this.reset(D,J)};En.prototype.reset=function(D,J){this.points=D||[],this._distances=[0];for(var O=1;O<this.points.length;O++)this._distances[O]=this._distances[O-1]+this.points[O].dist(this.points[O-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(J||0,this.length*.5),this.paddedLength=this.length-this.padding*2},En.prototype.lerp=function(D){if(this.points.length===1)return this.points[0];D=i.clamp(D,0,1);for(var J=1,O=this._distances[J],K=D*this.paddedLength+this.padding;O<K&&J<this._distances.length;)O=this._distances[++J];var de=J-1,ne=this._distances[de],we=O-ne,Oe=we>0?(K-ne)/we:0;return this.points[de].mult(1-Oe).add(this.points[J].mult(Oe))};var ki=function(D,J,O){var K=this.boxCells=[],de=this.circleCells=[];this.xCellCount=Math.ceil(D/O),this.yCellCount=Math.ceil(J/O);for(var ne=0;ne<this.xCellCount*this.yCellCount;ne++)K.push([]),de.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=D,this.height=J,this.xScale=this.xCellCount/D,this.yScale=this.yCellCount/J,this.boxUid=0,this.circleUid=0};ki.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},ki.prototype.insert=function(D,J,O,K,de){this._forEachCell(J,O,K,de,this._insertBoxCell,this.boxUid++),this.boxKeys.push(D),this.bboxes.push(J),this.bboxes.push(O),this.bboxes.push(K),this.bboxes.push(de)},ki.prototype.insertCircle=function(D,J,O,K){this._forEachCell(J-K,O-K,J+K,O+K,this._insertCircleCell,this.circleUid++),this.circleKeys.push(D),this.circles.push(J),this.circles.push(O),this.circles.push(K)},ki.prototype._insertBoxCell=function(D,J,O,K,de,ne){this.boxCells[de].push(ne)},ki.prototype._insertCircleCell=function(D,J,O,K,de,ne){this.circleCells[de].push(ne)},ki.prototype._query=function(D,J,O,K,de,ne){if(O<0||D>this.width||K<0||J>this.height)return de?!1:[];var we=[];if(D<=0&&J<=0&&this.width<=O&&this.height<=K){if(de)return!0;for(var Oe=0;Oe<this.boxKeys.length;Oe++)we.push({key:this.boxKeys[Oe],x1:this.bboxes[Oe*4],y1:this.bboxes[Oe*4+1],x2:this.bboxes[Oe*4+2],y2:this.bboxes[Oe*4+3]});for(var ht=0;ht<this.circleKeys.length;ht++){var Yt=this.circles[ht*3],cr=this.circles[ht*3+1],Nt=this.circles[ht*3+2];we.push({key:this.circleKeys[ht],x1:Yt-Nt,y1:cr-Nt,x2:Yt+Nt,y2:cr+Nt})}return ne?we.filter(ne):we}else{var Ne={hitTest:de,seenUids:{box:{},circle:{}}};return this._forEachCell(D,J,O,K,this._queryCell,we,Ne,ne),de?we.length>0:we}},ki.prototype._queryCircle=function(D,J,O,K,de){var ne=D-O,we=D+O,Oe=J-O,ht=J+O;if(we<0||ne>this.width||ht<0||Oe>this.height)return K?!1:[];var Yt=[],cr={hitTest:K,circle:{x:D,y:J,radius:O},seenUids:{box:{},circle:{}}};return this._forEachCell(ne,Oe,we,ht,this._queryCellCircle,Yt,cr,de),K?Yt.length>0:Yt},ki.prototype.query=function(D,J,O,K,de){return this._query(D,J,O,K,!1,de)},ki.prototype.hitTest=function(D,J,O,K,de){return this._query(D,J,O,K,!0,de)},ki.prototype.hitTestCircle=function(D,J,O,K){return this._queryCircle(D,J,O,!0,K)},ki.prototype._queryCell=function(D,J,O,K,de,ne,we,Oe){var ht=we.seenUids,Yt=this.boxCells[de];if(Yt!==null)for(var cr=this.bboxes,Nt=0,Ne=Yt;Nt<Ne.length;Nt+=1){var $e=Ne[Nt];if(!ht.box[$e]){ht.box[$e]=!0;var st=$e*4;if(D<=cr[st+2]&&J<=cr[st+3]&&O>=cr[st+0]&&K>=cr[st+1]&&(!Oe||Oe(this.boxKeys[$e]))){if(we.hitTest)return ne.push(!0),!0;ne.push({key:this.boxKeys[$e],x1:cr[st],y1:cr[st+1],x2:cr[st+2],y2:cr[st+3]})}}}var It=this.circleCells[de];if(It!==null)for(var Bt=this.circles,Ft=0,Ut=It;Ft<Ut.length;Ft+=1){var zt=Ut[Ft];if(!ht.circle[zt]){ht.circle[zt]=!0;var _t=zt*3;if(this._circleAndRectCollide(Bt[_t],Bt[_t+1],Bt[_t+2],D,J,O,K)&&(!Oe||Oe(this.circleKeys[zt]))){if(we.hitTest)return ne.push(!0),!0;var Dt=Bt[_t],vt=Bt[_t+1],lr=Bt[_t+2];ne.push({key:this.circleKeys[zt],x1:Dt-lr,y1:vt-lr,x2:Dt+lr,y2:vt+lr})}}}},ki.prototype._queryCellCircle=function(D,J,O,K,de,ne,we,Oe){var ht=we.circle,Yt=we.seenUids,cr=this.boxCells[de];if(cr!==null)for(var Nt=this.bboxes,Ne=0,$e=cr;Ne<$e.length;Ne+=1){var st=$e[Ne];if(!Yt.box[st]){Yt.box[st]=!0;var It=st*4;if(this._circleAndRectCollide(ht.x,ht.y,ht.radius,Nt[It+0],Nt[It+1],Nt[It+2],Nt[It+3])&&(!Oe||Oe(this.boxKeys[st])))return ne.push(!0),!0}}var Bt=this.circleCells[de];if(Bt!==null)for(var Ft=this.circles,Ut=0,zt=Bt;Ut<zt.length;Ut+=1){var _t=zt[Ut];if(!Yt.circle[_t]){Yt.circle[_t]=!0;var Dt=_t*3;if(this._circlesCollide(Ft[Dt],Ft[Dt+1],Ft[Dt+2],ht.x,ht.y,ht.radius)&&(!Oe||Oe(this.circleKeys[_t])))return ne.push(!0),!0}}},ki.prototype._forEachCell=function(D,J,O,K,de,ne,we,Oe){for(var ht=this._convertToXCellCoord(D),Yt=this._convertToYCellCoord(J),cr=this._convertToXCellCoord(O),Nt=this._convertToYCellCoord(K),Ne=ht;Ne<=cr;Ne++)for(var $e=Yt;$e<=Nt;$e++){var st=this.xCellCount*$e+Ne;if(de.call(this,D,J,O,K,st,ne,we,Oe))return}},ki.prototype._convertToXCellCoord=function(D){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(D*this.xScale)))},ki.prototype._convertToYCellCoord=function(D){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(D*this.yScale)))},ki.prototype._circlesCollide=function(D,J,O,K,de,ne){var we=K-D,Oe=de-J,ht=O+ne;return ht*ht>we*we+Oe*Oe},ki.prototype._circleAndRectCollide=function(D,J,O,K,de,ne,we){var Oe=(ne-K)/2,ht=Math.abs(D-(K+Oe));if(ht>Oe+O)return!1;var Yt=(we-de)/2,cr=Math.abs(J-(de+Yt));if(cr>Yt+O)return!1;if(ht<=Oe||cr<=Yt)return!0;var Nt=ht-Oe,Ne=cr-Yt;return Nt*Nt+Ne*Ne<=O*O};function _n(Y,D,J,O,K){var de=i.create();return D?(i.scale(de,de,[1/K,1/K,1]),J||i.rotateZ(de,de,O.angle)):i.multiply(de,O.labelPlaneMatrix,Y),de}function ya(Y,D,J,O,K){if(D){var de=i.clone(Y);return i.scale(de,de,[K,K,1]),J||i.rotateZ(de,de,-O.angle),de}else return O.glCoordMatrix}function ea(Y,D){var J=[Y.x,Y.y,0,1];Fl(J,J,D);var O=J[3];return{point:new i.Point(J[0]/O,J[1]/O),signedDistanceFromCamera:O}}function Ma(Y,D){return .5+.5*(Y/D)}function _o(Y,D){var J=Y[0]/Y[3],O=Y[1]/Y[3],K=J>=-D[0]&&J<=D[0]&&O>=-D[1]&&O<=D[1];return K}function No(Y,D,J,O,K,de,ne,we){var Oe=O?Y.textSizeData:Y.iconSizeData,ht=i.evaluateSizeForZoom(Oe,J.transform.zoom),Yt=[256/J.width*2+1,256/J.height*2+1],cr=O?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;cr.clear();for(var Nt=Y.lineVertexArray,Ne=O?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,$e=J.transform.width/J.transform.height,st=!1,It=0;It<Ne.length;It++){var Bt=Ne.get(It);if(Bt.hidden||Bt.writingMode===i.WritingMode.vertical&&!st){ul(Bt.numGlyphs,cr);continue}st=!1;var Ft=[Bt.anchorX,Bt.anchorY,0,1];if(i.transformMat4(Ft,Ft,D),!_o(Ft,Yt)){ul(Bt.numGlyphs,cr);continue}var Ut=Ft[3],zt=Ma(J.transform.cameraToCenterDistance,Ut),_t=i.evaluateSizeForFeature(Oe,ht,Bt),Dt=ne?_t/zt:_t*zt,vt=new i.Point(Bt.anchorX,Bt.anchorY),lr=ea(vt,K).point,_r={},Br=ko(Bt,Dt,!1,we,D,K,de,Y.glyphOffsetArray,Nt,cr,lr,vt,_r,$e);st=Br.useVertical,(Br.notEnoughRoom||st||Br.needsFlipping&&ko(Bt,Dt,!0,we,D,K,de,Y.glyphOffsetArray,Nt,cr,lr,vt,_r,$e).notEnoughRoom)&&ul(Bt.numGlyphs,cr)}O?Y.text.dynamicLayoutVertexBuffer.updateData(cr):Y.icon.dynamicLayoutVertexBuffer.updateData(cr)}function po(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=we.glyphStartIndex+we.numGlyphs,Nt=we.lineStartIndex,Ne=we.lineStartIndex+we.lineLength,$e=D.getoffsetX(we.glyphStartIndex),st=D.getoffsetX(cr-1),It=Fs(Y*$e,J,O,K,de,ne,we.segment,Nt,Ne,Oe,ht,Yt);if(!It)return null;var Bt=Fs(Y*st,J,O,K,de,ne,we.segment,Nt,Ne,Oe,ht,Yt);return Bt?{first:It,last:Bt}:null}function Lo(Y,D,J,O){if(Y===i.WritingMode.horizontal){var K=Math.abs(J.y-D.y),de=Math.abs(J.x-D.x)*O;if(K>de)return{useVertical:!0}}return(Y===i.WritingMode.vertical?D.y<J.y:D.x>J.x)?{needsFlipping:!0}:null}function ko(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne){var $e=D/24,st=Y.lineOffsetX*$e,It=Y.lineOffsetY*$e,Bt;if(Y.numGlyphs>1){var Ft=Y.glyphStartIndex+Y.numGlyphs,Ut=Y.lineStartIndex,zt=Y.lineStartIndex+Y.lineLength,_t=po($e,we,st,It,J,Yt,cr,Y,Oe,de,Nt);if(!_t)return{notEnoughRoom:!0};var Dt=ea(_t.first.point,ne).point,vt=ea(_t.last.point,ne).point;if(O&&!J){var lr=Lo(Y.writingMode,Dt,vt,Ne);if(lr)return lr}Bt=[_t.first];for(var _r=Y.glyphStartIndex+1;_r<Ft-1;_r++)Bt.push(Fs($e*we.getoffsetX(_r),st,It,J,Yt,cr,Y.segment,Ut,zt,Oe,de,Nt));Bt.push(_t.last)}else{if(O&&!J){var Br=ea(cr,K).point,Di=Y.lineStartIndex+Y.segment+1,ci=new i.Point(Oe.getx(Di),Oe.gety(Di)),bi=ea(ci,K),gn=bi.signedDistanceFromCamera>0?bi.point:Ds(cr,ci,Br,1,K),tn=Lo(Y.writingMode,Br,gn,Ne);if(tn)return tn}var Ei=Fs($e*we.getoffsetX(Y.glyphStartIndex),st,It,J,Yt,cr,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,Oe,de,Nt);if(!Ei)return{notEnoughRoom:!0};Bt=[Ei]}for(var Oi=0,Gi=Bt;Oi<Gi.length;Oi+=1){var on=Gi[Oi];i.addDynamicAttributes(ht,on.point,on.angle)}return{}}function Ds(Y,D,J,O,K){var de=ea(Y.add(Y.sub(D)._unit()),K).point,ne=J.sub(de);return J.add(ne._mult(O/ne.mag()))}function Fs(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr){var Nt=O?Y-D:Y+D,Ne=Nt>0?1:-1,$e=0;O&&(Ne*=-1,$e=Math.PI),Ne<0&&($e+=Math.PI);for(var st=Ne>0?we+ne:we+ne+1,It=K,Bt=K,Ft=0,Ut=0,zt=Math.abs(Nt),_t=[];Ft+Ut<=zt;){if(st+=Ne,st<we||st>=Oe)return null;if(Bt=It,_t.push(It),It=cr[st],It===void 0){var Dt=new i.Point(ht.getx(st),ht.gety(st)),vt=ea(Dt,Yt);if(vt.signedDistanceFromCamera>0)It=cr[st]=vt.point;else{var lr=st-Ne,_r=Ft===0?de:new i.Point(ht.getx(lr),ht.gety(lr));It=Ds(_r,Dt,Bt,zt-Ft+1,Yt)}}Ft+=Ut,Ut=Bt.dist(It)}var Br=(zt-Ft)/Ut,Di=It.sub(Bt),ci=Di.mult(Br)._add(Bt);ci._add(Di._unit()._perp()._mult(J*Ne));var bi=$e+Math.atan2(It.y-Bt.y,It.x-Bt.x);return _t.push(ci),{point:ci,angle:bi,path:_t}}var ll=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ul(Y,D){for(var J=0;J<Y;J++){var O=D.length;D.resize(O+4),D.float32.set(ll,O*3)}}function Fl(Y,D,J){var O=D[0],K=D[1];return Y[0]=J[0]*O+J[4]*K+J[12],Y[1]=J[1]*O+J[5]*K+J[13],Y[3]=J[3]*O+J[7]*K+J[15],Y}var us=100,rl=function(D,J,O){J===void 0&&(J=new ki(D.width+2*us,D.height+2*us,25)),O===void 0&&(O=new ki(D.width+2*us,D.height+2*us,25)),this.transform=D,this.grid=J,this.ignoredGrid=O,this.pitchfactor=Math.cos(D._pitch)*D.cameraToCenterDistance,this.screenRightBoundary=D.width+us,this.screenBottomBoundary=D.height+us,this.gridRightBoundary=D.width+2*us,this.gridBottomBoundary=D.height+2*us};rl.prototype.placeCollisionBox=function(D,J,O,K,de){var ne=this.projectAndGetPerspectiveRatio(K,D.anchorPointX,D.anchorPointY),we=O*ne.perspectiveRatio,Oe=D.x1*we+ne.point.x,ht=D.y1*we+ne.point.y,Yt=D.x2*we+ne.point.x,cr=D.y2*we+ne.point.y;return!this.isInsideGrid(Oe,ht,Yt,cr)||!J&&this.grid.hitTest(Oe,ht,Yt,cr,de)?{box:[],offscreen:!1}:{box:[Oe,ht,Yt,cr],offscreen:this.isOffscreen(Oe,ht,Yt,cr)}},rl.prototype.placeCollisionCircles=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne){var $e=[],st=new i.Point(J.anchorX,J.anchorY),It=ea(st,ne),Bt=Ma(this.transform.cameraToCenterDistance,It.signedDistanceFromCamera),Ft=Yt?de/Bt:de*Bt,Ut=Ft/i.ONE_EM,zt=ea(st,we).point,_t={},Dt=J.lineOffsetX*Ut,vt=J.lineOffsetY*Ut,lr=po(Ut,K,Dt,vt,!1,zt,st,J,O,we,_t),_r=!1,Br=!1,Di=!0;if(lr){for(var ci=Nt*.5*Bt+Ne,bi=new i.Point(-us,-us),gn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),tn=new En,Ei=lr.first,Oi=lr.last,Gi=[],on=Ei.path.length-1;on>=1;on--)Gi.push(Ei.path[on]);for(var zn=1;zn<Oi.path.length;zn++)Gi.push(Oi.path[zn]);var Ja=ci*2.5;if(Oe){var co=Gi.map(function(Iv){return ea(Iv,Oe)});co.some(function(Iv){return Iv.signedDistanceFromCamera<=0})?Gi=[]:Gi=co.map(function(Iv){return Iv.point})}var ts=[];if(Gi.length>0){for(var so=Gi[0].clone(),Yo=Gi[0].clone(),ms=1;ms<Gi.length;ms++)so.x=Math.min(so.x,Gi[ms].x),so.y=Math.min(so.y,Gi[ms].y),Yo.x=Math.max(Yo.x,Gi[ms].x),Yo.y=Math.max(Yo.y,Gi[ms].y);so.x>=bi.x&&Yo.x<=gn.x&&so.y>=bi.y&&Yo.y<=gn.y?ts=[Gi]:Yo.x<bi.x||so.x>gn.x||Yo.y<bi.y||so.y>gn.y?ts=[]:ts=i.clipLine([Gi],bi.x,bi.y,gn.x,gn.y)}for(var ou=0,Cv=ts;ou<Cv.length;ou+=1){var Lv=Cv[ou];tn.reset(Lv,ci*.25);var wd=0;tn.length<=.5*ci?wd=1:wd=Math.ceil(tn.paddedLength/Ja)+1;for(var Kv=0;Kv<wd;Kv++){var hg=Kv/Math.max(wd-1,1),gp=tn.lerp(hg),Td=gp.x+us,mp=gp.y+us;$e.push(Td,mp,ci,0);var Vd=Td-ci,Ad=mp-ci,Pv=Td+ci,Jv=mp+ci;if(Di=Di&&this.isOffscreen(Vd,Ad,Pv,Jv),Br=Br||this.isInsideGrid(Vd,Ad,Pv,Jv),!D&&this.grid.hitTestCircle(Td,mp,ci,cr)&&(_r=!0,!ht))return{circles:[],offscreen:!1,collisionDetected:_r}}}}return{circles:!ht&&_r||!Br?[]:$e,offscreen:Di,collisionDetected:_r}},rl.prototype.queryRenderedSymbols=function(D){if(D.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var J=[],O=1/0,K=1/0,de=-1/0,ne=-1/0,we=0,Oe=D;we<Oe.length;we+=1){var ht=Oe[we],Yt=new i.Point(ht.x+us,ht.y+us);O=Math.min(O,Yt.x),K=Math.min(K,Yt.y),de=Math.max(de,Yt.x),ne=Math.max(ne,Yt.y),J.push(Yt)}for(var cr=this.grid.query(O,K,de,ne).concat(this.ignoredGrid.query(O,K,de,ne)),Nt={},Ne={},$e=0,st=cr;$e<st.length;$e+=1){var It=st[$e],Bt=It.key;if(Nt[Bt.bucketInstanceId]===void 0&&(Nt[Bt.bucketInstanceId]={}),!Nt[Bt.bucketInstanceId][Bt.featureIndex]){var Ft=[new i.Point(It.x1,It.y1),new i.Point(It.x2,It.y1),new i.Point(It.x2,It.y2),new i.Point(It.x1,It.y2)];i.polygonIntersectsPolygon(J,Ft)&&(Nt[Bt.bucketInstanceId][Bt.featureIndex]=!0,Ne[Bt.bucketInstanceId]===void 0&&(Ne[Bt.bucketInstanceId]=[]),Ne[Bt.bucketInstanceId].push(Bt.featureIndex))}}return Ne},rl.prototype.insertCollisionBox=function(D,J,O,K,de){var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:O,featureIndex:K,collisionGroupID:de};ne.insert(we,D[0],D[1],D[2],D[3])},rl.prototype.insertCollisionCircles=function(D,J,O,K,de){for(var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:O,featureIndex:K,collisionGroupID:de},Oe=0;Oe<D.length;Oe+=4)ne.insertCircle(we,D[Oe],D[Oe+1],D[Oe+2])},rl.prototype.projectAndGetPerspectiveRatio=function(D,J,O){var K=[J,O,0,1];Fl(K,K,D);var de=new i.Point((K[0]/K[3]+1)/2*this.transform.width+us,(-K[1]/K[3]+1)/2*this.transform.height+us);return{point:de,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/K[3])}},rl.prototype.isOffscreen=function(D,J,O,K){return O<us||D>=this.screenRightBoundary||K<us||J>this.screenBottomBoundary},rl.prototype.isInsideGrid=function(D,J,O,K){return O>=0&&D<this.gridRightBoundary&&K>=0&&J<this.gridBottomBoundary},rl.prototype.getViewportMatrix=function(){var D=i.identity([]);return i.translate(D,D,[-us,-us,0]),D};function As(Y,D,J){return D*(i.EXTENT/(Y.tileSize*Math.pow(2,J-Y.tileID.overscaledZ)))}var cl=function(D,J,O,K){D?this.opacity=Math.max(0,Math.min(1,D.opacity+(D.placed?J:-J))):this.opacity=K&&O?1:0,this.placed=O};cl.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Ks=function(D,J,O,K,de){this.text=new cl(D?D.text:null,J,O,de),this.icon=new cl(D?D.icon:null,J,K,de)};Ks.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var zs=function(D,J,O){this.text=D,this.icon=J,this.skipFade=O},Io=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},ls=function(D,J,O,K,de){this.bucketInstanceId=D,this.featureIndex=J,this.sourceLayerIndex=O,this.bucketIndex=K,this.tileID=de},Yl=function(D){this.crossSourceCollisions=D,this.maxGroupID=0,this.collisionGroups={}};Yl.prototype.get=function(D){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[D]){var J=++this.maxGroupID;this.collisionGroups[D]={ID:J,predicate:function(O){return O.collisionGroupID===J}}}return this.collisionGroups[D]};function Su(Y,D,J,O,K){var de=i.getAnchorAlignment(Y),ne=de.horizontalAlign,we=de.verticalAlign,Oe=-(ne-.5)*D,ht=-(we-.5)*J,Yt=i.evaluateVariableOffset(Y,O);return new i.Point(Oe+Yt[0]*K,ht+Yt[1]*K)}function nc(Y,D,J,O,K,de){var ne=Y.x1,we=Y.x2,Oe=Y.y1,ht=Y.y2,Yt=Y.anchorPointX,cr=Y.anchorPointY,Nt=new i.Point(D,J);return O&&Nt._rotate(K?de:-de),{x1:ne+Nt.x,y1:Oe+Nt.y,x2:we+Nt.x,y2:ht+Nt.y,anchorPointX:Yt,anchorPointY:cr}}var bs=function(D,J,O,K){this.transform=D.clone(),this.collisionIndex=new rl(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=J,this.retainedQueryData={},this.collisionGroups=new Yl(O),this.collisionCircleArrays={},this.prevPlacement=K,K&&(K.prevPlacement=void 0),this.placedOrientations={}};bs.prototype.getBucketParts=function(D,J,O,K){var de=O.getBucket(J),ne=O.latestFeatureIndex;if(!(!de||!ne||J.id!==de.layerIds[0])){var we=O.collisionBoxArray,Oe=de.layers[0].layout,ht=Math.pow(2,this.transform.zoom-O.tileID.overscaledZ),Yt=O.tileSize/i.EXTENT,cr=this.transform.calculatePosMatrix(O.tileID.toUnwrapped()),Nt=Oe.get(\"text-pitch-alignment\")===\"map\",Ne=Oe.get(\"text-rotation-alignment\")===\"map\",$e=As(O,1,this.transform.zoom),st=_n(cr,Nt,Ne,this.transform,$e),It=null;if(Nt){var Bt=ya(cr,Nt,Ne,this.transform,$e);It=i.multiply([],this.transform.labelPlaneMatrix,Bt)}this.retainedQueryData[de.bucketInstanceId]=new ls(de.bucketInstanceId,ne,de.sourceLayerIndex,de.index,O.tileID);var Ft={bucket:de,layout:Oe,posMatrix:cr,textLabelPlaneMatrix:st,labelToScreenMatrix:It,scale:ht,textPixelRatio:Yt,holdingForFade:O.holdingForFade(),collisionBoxArray:we,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(de.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(de.sourceID)};if(K)for(var Ut=0,zt=de.sortKeyRanges;Ut<zt.length;Ut+=1){var _t=zt[Ut],Dt=_t.sortKey,vt=_t.symbolInstanceStart,lr=_t.symbolInstanceEnd;D.push({sortKey:Dt,symbolInstanceStart:vt,symbolInstanceEnd:lr,parameters:Ft})}else D.push({symbolInstanceStart:0,symbolInstanceEnd:de.symbolInstances.length,parameters:Ft})}},bs.prototype.attemptAnchorPlacement=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne,$e,st){var It=[Nt.textOffset0,Nt.textOffset1],Bt=Su(D,O,K,It,de),Ft=this.collisionIndex.placeCollisionBox(nc(J,Bt.x,Bt.y,ne,we,this.transform.angle),cr,Oe,ht,Yt.predicate);if(st){var Ut=this.collisionIndex.placeCollisionBox(nc(st,Bt.x,Bt.y,ne,we,this.transform.angle),cr,Oe,ht,Yt.predicate);if(Ut.box.length===0)return}if(Ft.box.length>0){var zt;return this.prevPlacement&&this.prevPlacement.variableOffsets[Nt.crossTileID]&&this.prevPlacement.placements[Nt.crossTileID]&&this.prevPlacement.placements[Nt.crossTileID].text&&(zt=this.prevPlacement.variableOffsets[Nt.crossTileID].anchor),this.variableOffsets[Nt.crossTileID]={textOffset:It,width:O,height:K,anchor:D,textBoxScale:de,prevAnchor:zt},this.markUsedJustification(Ne,D,Nt,$e),Ne.allowVerticalPlacement&&(this.markUsedOrientation(Ne,$e,Nt),this.placedOrientations[Nt.crossTileID]=$e),{shift:Bt,placedGlyphBoxes:Ft}}},bs.prototype.placeLayerBucketPart=function(D,J,O){var K=this,de=D.parameters,ne=de.bucket,we=de.layout,Oe=de.posMatrix,ht=de.textLabelPlaneMatrix,Yt=de.labelToScreenMatrix,cr=de.textPixelRatio,Nt=de.holdingForFade,Ne=de.collisionBoxArray,$e=de.partiallyEvaluatedTextSize,st=de.collisionGroup,It=we.get(\"text-optional\"),Bt=we.get(\"icon-optional\"),Ft=we.get(\"text-allow-overlap\"),Ut=we.get(\"icon-allow-overlap\"),zt=we.get(\"text-rotation-alignment\")===\"map\",_t=we.get(\"text-pitch-alignment\")===\"map\",Dt=we.get(\"icon-text-fit\")!==\"none\",vt=we.get(\"symbol-z-order\")===\"viewport-y\",lr=Ft&&(Ut||!ne.hasIconData()||Bt),_r=Ut&&(Ft||!ne.hasTextData()||It);!ne.collisionArrays&&Ne&&ne.deserializeCollisionBoxes(Ne);var Br=function(Ei,Oi){if(!J[Ei.crossTileID]){if(Nt){K.placements[Ei.crossTileID]=new zs(!1,!1,!1);return}var Gi=!1,on=!1,zn=!0,Ja=null,co={box:null,offscreen:null},ts={box:null,offscreen:null},so=null,Yo=null,ms=null,ou=0,Cv=0,Lv=0;Oi.textFeatureIndex?ou=Oi.textFeatureIndex:Ei.useRuntimeCollisionCircles&&(ou=Ei.featureIndex),Oi.verticalTextFeatureIndex&&(Cv=Oi.verticalTextFeatureIndex);var wd=Oi.textBox;if(wd){var Kv=function(vc){var tu=i.WritingMode.horizontal;if(ne.allowVerticalPlacement&&!vc&&K.prevPlacement){var Sd=K.prevPlacement.placedOrientations[Ei.crossTileID];Sd&&(K.placedOrientations[Ei.crossTileID]=Sd,tu=Sd,K.markUsedOrientation(ne,tu,Ei))}return tu},hg=function(vc,tu){if(ne.allowVerticalPlacement&&Ei.numVerticalGlyphVertices>0&&Oi.verticalTextBox)for(var Sd=0,gy=ne.writingModes;Sd<gy.length;Sd+=1){var P1=gy[Sd];if(P1===i.WritingMode.vertical?(co=tu(),ts=co):co=vc(),co&&co.box&&co.box.length)break}else co=vc()};if(we.get(\"text-variable-anchor\")){var Vd=we.get(\"text-variable-anchor\");if(K.prevPlacement&&K.prevPlacement.variableOffsets[Ei.crossTileID]){var Ad=K.prevPlacement.variableOffsets[Ei.crossTileID];Vd.indexOf(Ad.anchor)>0&&(Vd=Vd.filter(function(vc){return vc!==Ad.anchor}),Vd.unshift(Ad.anchor))}var Pv=function(vc,tu,Sd){for(var gy=vc.x2-vc.x1,P1=vc.y2-vc.y1,wu=Ei.textBoxScale,Kx=Dt&&!Ut?tu:null,lm={box:[],offscreen:!1},Uw=Ft?Vd.length*2:Vd.length,Rv=0;Rv<Uw;++Rv){var um=Vd[Rv%Vd.length],Vw=Rv>=Vd.length,Jx=K.attemptAnchorPlacement(um,vc,gy,P1,wu,zt,_t,cr,Oe,st,Vw,Ei,ne,Sd,Kx);if(Jx&&(lm=Jx.placedGlyphBoxes,lm&&lm.box&&lm.box.length)){Gi=!0,Ja=Jx.shift;break}}return lm},Jv=function(){return Pv(wd,Oi.iconBox,i.WritingMode.horizontal)},Iv=function(){var vc=Oi.verticalTextBox,tu=co&&co.box&&co.box.length;return ne.allowVerticalPlacement&&!tu&&Ei.numVerticalGlyphVertices>0&&vc?Pv(vc,Oi.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};hg(Jv,Iv),co&&(Gi=co.box,zn=co.offscreen);var dy=Kv(co&&co.box);if(!Gi&&K.prevPlacement){var dg=K.prevPlacement.variableOffsets[Ei.crossTileID];dg&&(K.variableOffsets[Ei.crossTileID]=dg,K.markUsedJustification(ne,dg.anchor,Ei,dy))}}else{var gp=function(vc,tu){var Sd=K.collisionIndex.placeCollisionBox(vc,Ft,cr,Oe,st.predicate);return Sd&&Sd.box&&Sd.box.length&&(K.markUsedOrientation(ne,tu,Ei),K.placedOrientations[Ei.crossTileID]=tu),Sd},Td=function(){return gp(wd,i.WritingMode.horizontal)},mp=function(){var vc=Oi.verticalTextBox;return ne.allowVerticalPlacement&&Ei.numVerticalGlyphVertices>0&&vc?gp(vc,i.WritingMode.vertical):{box:null,offscreen:null}};hg(Td,mp),Kv(co&&co.box&&co.box.length)}}if(so=co,Gi=so&&so.box&&so.box.length>0,zn=so&&so.offscreen,Ei.useRuntimeCollisionCircles){var oh=ne.text.placedSymbolArray.get(Ei.centerJustifiedTextSymbolIndex),vg=i.evaluateSizeForFeature(ne.textSizeData,$e,oh),vy=we.get(\"text-padding\"),Zh=Ei.collisionCircleDiameter;Yo=K.collisionIndex.placeCollisionCircles(Ft,oh,ne.lineVertexArray,ne.glyphOffsetArray,vg,Oe,ht,Yt,O,_t,st.predicate,Zh,vy),Gi=Ft||Yo.circles.length>0&&!Yo.collisionDetected,zn=zn&&Yo.offscreen}if(Oi.iconFeatureIndex&&(Lv=Oi.iconFeatureIndex),Oi.iconBox){var am=function(vc){var tu=Dt&&Ja?nc(vc,Ja.x,Ja.y,zt,_t,K.transform.angle):vc;return K.collisionIndex.placeCollisionBox(tu,Ut,cr,Oe,st.predicate)};ts&&ts.box&&ts.box.length&&Oi.verticalIconBox?(ms=am(Oi.verticalIconBox),on=ms.box.length>0):(ms=am(Oi.iconBox),on=ms.box.length>0),zn=zn&&ms.offscreen}var C1=It||Ei.numHorizontalGlyphVertices===0&&Ei.numVerticalGlyphVertices===0,L1=Bt||Ei.numIconVertices===0;if(!C1&&!L1?on=Gi=on&&Gi:L1?C1||(on=on&&Gi):Gi=on&&Gi,Gi&&so&&so.box&&(ts&&ts.box&&Cv?K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,Cv,st.ID):K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,st.ID)),on&&ms&&K.collisionIndex.insertCollisionBox(ms.box,we.get(\"icon-ignore-placement\"),ne.bucketInstanceId,Lv,st.ID),Yo&&(Gi&&K.collisionIndex.insertCollisionCircles(Yo.circles,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,st.ID),O)){var py=ne.bucketInstanceId,om=K.collisionCircleArrays[py];om===void 0&&(om=K.collisionCircleArrays[py]=new Io);for(var sm=0;sm<Yo.circles.length;sm+=4)om.circles.push(Yo.circles[sm+0]),om.circles.push(Yo.circles[sm+1]),om.circles.push(Yo.circles[sm+2]),om.circles.push(Yo.collisionDetected?1:0)}K.placements[Ei.crossTileID]=new zs(Gi||lr,on||_r,zn||ne.justReloaded),J[Ei.crossTileID]=!0}};if(vt)for(var Di=ne.getSortedSymbolIndexes(this.transform.angle),ci=Di.length-1;ci>=0;--ci){var bi=Di[ci];Br(ne.symbolInstances.get(bi),ne.collisionArrays[bi])}else for(var gn=D.symbolInstanceStart;gn<D.symbolInstanceEnd;gn++)Br(ne.symbolInstances.get(gn),ne.collisionArrays[gn]);if(O&&ne.bucketInstanceId in this.collisionCircleArrays){var tn=this.collisionCircleArrays[ne.bucketInstanceId];i.invert(tn.invProjMatrix,Oe),tn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ne.justReloaded=!1},bs.prototype.markUsedJustification=function(D,J,O,K){var de={left:O.leftJustifiedTextSymbolIndex,center:O.centerJustifiedTextSymbolIndex,right:O.rightJustifiedTextSymbolIndex},ne;K===i.WritingMode.vertical?ne=O.verticalPlacedTextSymbolIndex:ne=de[i.getAnchorJustification(J)];for(var we=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex,O.verticalPlacedTextSymbolIndex],Oe=0,ht=we;Oe<ht.length;Oe+=1){var Yt=ht[Oe];Yt>=0&&(ne>=0&&Yt!==ne?D.text.placedSymbolArray.get(Yt).crossTileID=0:D.text.placedSymbolArray.get(Yt).crossTileID=O.crossTileID)}},bs.prototype.markUsedOrientation=function(D,J,O){for(var K=J===i.WritingMode.horizontal||J===i.WritingMode.horizontalOnly?J:0,de=J===i.WritingMode.vertical?J:0,ne=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex],we=0,Oe=ne;we<Oe.length;we+=1){var ht=Oe[we];D.text.placedSymbolArray.get(ht).placedOrientation=K}O.verticalPlacedTextSymbolIndex&&(D.text.placedSymbolArray.get(O.verticalPlacedTextSymbolIndex).placedOrientation=de)},bs.prototype.commit=function(D){this.commitTime=D,this.zoomAtLastRecencyCheck=this.transform.zoom;var J=this.prevPlacement,O=!1;this.prevZoomAdjustment=J?J.zoomAdjustment(this.transform.zoom):0;var K=J?J.symbolFadeChange(D):1,de=J?J.opacities:{},ne=J?J.variableOffsets:{},we=J?J.placedOrientations:{};for(var Oe in this.placements){var ht=this.placements[Oe],Yt=de[Oe];Yt?(this.opacities[Oe]=new Ks(Yt,K,ht.text,ht.icon),O=O||ht.text!==Yt.text.placed||ht.icon!==Yt.icon.placed):(this.opacities[Oe]=new Ks(null,K,ht.text,ht.icon,ht.skipFade),O=O||ht.text||ht.icon)}for(var cr in de){var Nt=de[cr];if(!this.opacities[cr]){var Ne=new Ks(Nt,K,!1,!1);Ne.isHidden()||(this.opacities[cr]=Ne,O=O||Nt.text.placed||Nt.icon.placed)}}for(var $e in ne)!this.variableOffsets[$e]&&this.opacities[$e]&&!this.opacities[$e].isHidden()&&(this.variableOffsets[$e]=ne[$e]);for(var st in we)!this.placedOrientations[st]&&this.opacities[st]&&!this.opacities[st].isHidden()&&(this.placedOrientations[st]=we[st]);O?this.lastPlacementChangeTime=D:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=J?J.lastPlacementChangeTime:D)},bs.prototype.updateLayerOpacities=function(D,J){for(var O={},K=0,de=J;K<de.length;K+=1){var ne=de[K],we=ne.getBucket(D);we&&ne.latestFeatureIndex&&D.id===we.layerIds[0]&&this.updateBucketOpacities(we,O,ne.collisionBoxArray)}},bs.prototype.updateBucketOpacities=function(D,J,O){var K=this;D.hasTextData()&&D.text.opacityVertexArray.clear(),D.hasIconData()&&D.icon.opacityVertexArray.clear(),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexArray.clear(),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexArray.clear();var de=D.layers[0].layout,ne=new Ks(null,0,!1,!1,!0),we=de.get(\"text-allow-overlap\"),Oe=de.get(\"icon-allow-overlap\"),ht=de.get(\"text-variable-anchor\"),Yt=de.get(\"text-rotation-alignment\")===\"map\",cr=de.get(\"text-pitch-alignment\")===\"map\",Nt=de.get(\"icon-text-fit\")!==\"none\",Ne=new Ks(null,0,we&&(Oe||!D.hasIconData()||de.get(\"icon-optional\")),Oe&&(we||!D.hasTextData()||de.get(\"text-optional\")),!0);!D.collisionArrays&&O&&(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData())&&D.deserializeCollisionBoxes(O);for(var $e=function(Ft,Ut,zt){for(var _t=0;_t<Ut/4;_t++)Ft.opacityVertexArray.emplaceBack(zt)},st=function(Ft){var Ut=D.symbolInstances.get(Ft),zt=Ut.numHorizontalGlyphVertices,_t=Ut.numVerticalGlyphVertices,Dt=Ut.crossTileID,vt=J[Dt],lr=K.opacities[Dt];vt?lr=ne:lr||(lr=Ne,K.opacities[Dt]=lr),J[Dt]=!0;var _r=zt>0||_t>0,Br=Ut.numIconVertices>0,Di=K.placedOrientations[Ut.crossTileID],ci=Di===i.WritingMode.vertical,bi=Di===i.WritingMode.horizontal||Di===i.WritingMode.horizontalOnly;if(_r){var gn=ac(lr.text),tn=ci?oa:gn;$e(D.text,zt,tn);var Ei=bi?oa:gn;$e(D.text,_t,Ei);var Oi=lr.text.isHidden();[Ut.rightJustifiedTextSymbolIndex,Ut.centerJustifiedTextSymbolIndex,Ut.leftJustifiedTextSymbolIndex].forEach(function(Lv){Lv>=0&&(D.text.placedSymbolArray.get(Lv).hidden=Oi||ci?1:0)}),Ut.verticalPlacedTextSymbolIndex>=0&&(D.text.placedSymbolArray.get(Ut.verticalPlacedTextSymbolIndex).hidden=Oi||bi?1:0);var Gi=K.variableOffsets[Ut.crossTileID];Gi&&K.markUsedJustification(D,Gi.anchor,Ut,Di);var on=K.placedOrientations[Ut.crossTileID];on&&(K.markUsedJustification(D,\"left\",Ut,on),K.markUsedOrientation(D,on,Ut))}if(Br){var zn=ac(lr.icon),Ja=!(Nt&&Ut.verticalPlacedIconSymbolIndex&&ci);if(Ut.placedIconSymbolIndex>=0){var co=Ja?zn:oa;$e(D.icon,Ut.numIconVertices,co),D.icon.placedSymbolArray.get(Ut.placedIconSymbolIndex).hidden=lr.icon.isHidden()}if(Ut.verticalPlacedIconSymbolIndex>=0){var ts=Ja?oa:zn;$e(D.icon,Ut.numVerticalIconVertices,ts),D.icon.placedSymbolArray.get(Ut.verticalPlacedIconSymbolIndex).hidden=lr.icon.isHidden()}}if(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData()){var so=D.collisionArrays[Ft];if(so){var Yo=new i.Point(0,0);if(so.textBox||so.verticalTextBox){var ms=!0;if(ht){var ou=K.variableOffsets[Dt];ou?(Yo=Su(ou.anchor,ou.width,ou.height,ou.textOffset,ou.textBoxScale),Yt&&Yo._rotate(cr?K.transform.angle:-K.transform.angle)):ms=!1}so.textBox&&Rn(D.textCollisionBox.collisionVertexArray,lr.text.placed,!ms||ci,Yo.x,Yo.y),so.verticalTextBox&&Rn(D.textCollisionBox.collisionVertexArray,lr.text.placed,!ms||bi,Yo.x,Yo.y)}var Cv=!!(!bi&&so.verticalIconBox);so.iconBox&&Rn(D.iconCollisionBox.collisionVertexArray,lr.icon.placed,Cv,Nt?Yo.x:0,Nt?Yo.y:0),so.verticalIconBox&&Rn(D.iconCollisionBox.collisionVertexArray,lr.icon.placed,!Cv,Nt?Yo.x:0,Nt?Yo.y:0)}}},It=0;It<D.symbolInstances.length;It++)st(It);if(D.sortFeatures(this.transform.angle),this.retainedQueryData[D.bucketInstanceId]&&(this.retainedQueryData[D.bucketInstanceId].featureSortOrder=D.featureSortOrder),D.hasTextData()&&D.text.opacityVertexBuffer&&D.text.opacityVertexBuffer.updateData(D.text.opacityVertexArray),D.hasIconData()&&D.icon.opacityVertexBuffer&&D.icon.opacityVertexBuffer.updateData(D.icon.opacityVertexArray),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexBuffer&&D.iconCollisionBox.collisionVertexBuffer.updateData(D.iconCollisionBox.collisionVertexArray),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexBuffer&&D.textCollisionBox.collisionVertexBuffer.updateData(D.textCollisionBox.collisionVertexArray),D.bucketInstanceId in this.collisionCircleArrays){var Bt=this.collisionCircleArrays[D.bucketInstanceId];D.placementInvProjMatrix=Bt.invProjMatrix,D.placementViewportMatrix=Bt.viewportMatrix,D.collisionCircleArray=Bt.circles,delete this.collisionCircleArrays[D.bucketInstanceId]}},bs.prototype.symbolFadeChange=function(D){return this.fadeDuration===0?1:(D-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},bs.prototype.zoomAdjustment=function(D){return Math.max(0,(this.transform.zoom-D)/1.5)},bs.prototype.hasTransitions=function(D){return this.stale||D-this.lastPlacementChangeTime<this.fadeDuration},bs.prototype.stillRecent=function(D,J){var O=this.zoomAtLastRecencyCheck===J?1-this.zoomAdjustment(J):1;return this.zoomAtLastRecencyCheck=J,this.commitTime+this.fadeDuration*O>D},bs.prototype.setStale=function(){this.stale=!0};function Rn(Y,D,J,O,K){Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0)}var _a=Math.pow(2,25),Vu=Math.pow(2,24),zl=Math.pow(2,17),xo=Math.pow(2,16),Kl=Math.pow(2,9),Ns=Math.pow(2,8),Hl=Math.pow(2,1);function ac(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var D=Y.placed?1:0,J=Math.floor(Y.opacity*127);return J*_a+D*Vu+J*zl+D*xo+J*Kl+D*Ns+J*Hl+D}var oa=0,qo=function(D){this._sortAcrossTiles=D.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&D.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};qo.prototype.continuePlacement=function(D,J,O,K,de){for(var ne=this._bucketParts;this._currentTileIndex<D.length;){var we=D[this._currentTileIndex];if(J.getBucketParts(ne,K,we,this._sortAcrossTiles),this._currentTileIndex++,de())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,ne.sort(function(ht,Yt){return ht.sortKey-Yt.sortKey}));this._currentPartIndex<ne.length;){var Oe=ne[this._currentPartIndex];if(J.placeLayerBucketPart(Oe,this._seenCrossTileIDs,O),this._currentPartIndex++,de())return!0}return!1};var Oo=function(D,J,O,K,de,ne,we){this.placement=new bs(D,de,ne,we),this._currentPlacementIndex=J.length-1,this._forceFullPlacement=O,this._showCollisionBoxes=K,this._done=!1};Oo.prototype.isDone=function(){return this._done},Oo.prototype.continuePlacement=function(D,J,O){for(var K=this,de=i.browser.now(),ne=function(){var cr=i.browser.now()-de;return K._forceFullPlacement?!1:cr>2};this._currentPlacementIndex>=0;){var we=D[this._currentPlacementIndex],Oe=J[we],ht=this.placement.collisionIndex.transform.zoom;if(Oe.type===\"symbol\"&&(!Oe.minzoom||Oe.minzoom<=ht)&&(!Oe.maxzoom||Oe.maxzoom>ht)){this._inProgressLayer||(this._inProgressLayer=new qo(Oe));var Yt=this._inProgressLayer.continuePlacement(O[Oe.source],this.placement,this._showCollisionBoxes,Oe,ne);if(Yt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Oo.prototype.commit=function(D){return this.placement.commit(D),this.placement};var ql=512/i.EXTENT/2,Pc=function(D,J,O){this.tileID=D,this.indexedSymbolInstances={},this.bucketInstanceId=O;for(var K=0;K<J.length;K++){var de=J.get(K),ne=de.key;this.indexedSymbolInstances[ne]||(this.indexedSymbolInstances[ne]=[]),this.indexedSymbolInstances[ne].push({crossTileID:de.crossTileID,coord:this.getScaledCoordinates(de,D)})}};Pc.prototype.getScaledCoordinates=function(D,J){var O=J.canonical.z-this.tileID.canonical.z,K=ql/Math.pow(2,O);return{x:Math.floor((J.canonical.x*i.EXTENT+D.anchorX)*K),y:Math.floor((J.canonical.y*i.EXTENT+D.anchorY)*K)}},Pc.prototype.findMatches=function(D,J,O){for(var K=this.tileID.canonical.z<J.canonical.z?1:Math.pow(2,this.tileID.canonical.z-J.canonical.z),de=0;de<D.length;de++){var ne=D.get(de);if(!ne.crossTileID){var we=this.indexedSymbolInstances[ne.key];if(we)for(var Oe=this.getScaledCoordinates(ne,J),ht=0,Yt=we;ht<Yt.length;ht+=1){var cr=Yt[ht];if(Math.abs(cr.coord.x-Oe.x)<=K&&Math.abs(cr.coord.y-Oe.y)<=K&&!O[cr.crossTileID]){O[cr.crossTileID]=!0,ne.crossTileID=cr.crossTileID;break}}}}};var Do=function(){this.maxCrossTileID=0};Do.prototype.generate=function(){return++this.maxCrossTileID};var nf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};nf.prototype.handleWrapJump=function(D){var J=Math.round((D-this.lng)/360);if(J!==0)for(var O in this.indexes){var K=this.indexes[O],de={};for(var ne in K){var we=K[ne];we.tileID=we.tileID.unwrapTo(we.tileID.wrap+J),de[we.tileID.key]=we}this.indexes[O]=de}this.lng=D},nf.prototype.addBucket=function(D,J,O){if(this.indexes[D.overscaledZ]&&this.indexes[D.overscaledZ][D.key]){if(this.indexes[D.overscaledZ][D.key].bucketInstanceId===J.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(D.overscaledZ,this.indexes[D.overscaledZ][D.key])}for(var K=0;K<J.symbolInstances.length;K++){var de=J.symbolInstances.get(K);de.crossTileID=0}this.usedCrossTileIDs[D.overscaledZ]||(this.usedCrossTileIDs[D.overscaledZ]={});var ne=this.usedCrossTileIDs[D.overscaledZ];for(var we in this.indexes){var Oe=this.indexes[we];if(Number(we)>D.overscaledZ)for(var ht in Oe){var Yt=Oe[ht];Yt.tileID.isChildOf(D)&&Yt.findMatches(J.symbolInstances,D,ne)}else{var cr=D.scaledTo(Number(we)),Nt=Oe[cr.key];Nt&&Nt.findMatches(J.symbolInstances,D,ne)}}for(var Ne=0;Ne<J.symbolInstances.length;Ne++){var $e=J.symbolInstances.get(Ne);$e.crossTileID||($e.crossTileID=O.generate(),ne[$e.crossTileID]=!0)}return this.indexes[D.overscaledZ]===void 0&&(this.indexes[D.overscaledZ]={}),this.indexes[D.overscaledZ][D.key]=new Pc(D,J.symbolInstances,J.bucketInstanceId),!0},nf.prototype.removeBucketCrossTileIDs=function(D,J){for(var O in J.indexedSymbolInstances)for(var K=0,de=J.indexedSymbolInstances[O];K<de.length;K+=1){var ne=de[K];delete this.usedCrossTileIDs[D][ne.crossTileID]}},nf.prototype.removeStaleBuckets=function(D){var J=!1;for(var O in this.indexes){var K=this.indexes[O];for(var de in K)D[K[de].bucketInstanceId]||(this.removeBucketCrossTileIDs(O,K[de]),delete K[de],J=!0)}return J};var Vf=function(){this.layerIndexes={},this.crossTileIDs=new Do,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Vf.prototype.addLayer=function(D,J,O){var K=this.layerIndexes[D.id];K===void 0&&(K=this.layerIndexes[D.id]=new nf);var de=!1,ne={};K.handleWrapJump(O);for(var we=0,Oe=J;we<Oe.length;we+=1){var ht=Oe[we],Yt=ht.getBucket(D);!Yt||D.id!==Yt.layerIds[0]||(Yt.bucketInstanceId||(Yt.bucketInstanceId=++this.maxBucketInstanceId),K.addBucket(ht.tileID,Yt,this.crossTileIDs)&&(de=!0),ne[Yt.bucketInstanceId]=!0)}return K.removeStaleBuckets(ne)&&(de=!0),de},Vf.prototype.pruneUnusedLayers=function(D){var J={};D.forEach(function(K){J[K]=!0});for(var O in this.layerIndexes)J[O]||delete this.layerIndexes[O]};var pl=function(Y,D){return i.emitValidationErrors(Y,D&&D.filter(function(J){return J.identifier!==\"source.canvas\"}))},Zc=i.pick(da,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Jl=i.pick(da,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),qs=Xo(),yu=(function(Y){function D(J,O){var K=this;O===void 0&&(O={}),Y.call(this),this.map=J,this.dispatcher=new Z(Ba(),this),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new P(J._requestManager,O.localIdeographFontFamily),this.lineAtlas=new G(256,512),this.crossTileSymbolIndex=new Vf,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var de=this;this._rtlTextPluginCallback=D.registerForPluginStateChange(function(ne){var we={pluginStatus:ne.pluginStatus,pluginURL:ne.pluginURL};de.dispatcher.broadcast(\"syncRTLPluginState\",we,function(Oe,ht){if(i.triggerPluginCompletionEvent(Oe),ht){var Yt=ht.every(function(Nt){return Nt});if(Yt)for(var cr in de.sourceCaches)de.sourceCaches[cr].reload()}})}),this.on(\"data\",function(ne){if(!(ne.dataType!==\"source\"||ne.sourceDataType!==\"metadata\")){var we=K.sourceCaches[ne.sourceId];if(we){var Oe=we.getSource();if(!(!Oe||!Oe.vectorLayerIds))for(var ht in K._layers){var Yt=K._layers[ht];Yt.source===Oe.id&&K._validateLayer(Yt)}}}})}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.loadURL=function(O,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var ne=typeof K.validate==\"boolean\"?K.validate:!i.isMapboxURL(O);O=this.map._requestManager.normalizeStyleURL(O,K.accessToken);var we=this.map._requestManager.transformRequest(O,i.ResourceType.Style);this._request=i.getJSON(we,function(Oe,ht){de._request=null,Oe?de.fire(new i.ErrorEvent(Oe)):ht&&de._load(ht,ne)})},D.prototype.loadJSON=function(O,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){de._request=null,de._load(O,K.validate!==!1)})},D.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(qs,!1)},D.prototype._load=function(O,K){if(!(K&&pl(this,i.validateStyle(O)))){this._loaded=!0,this.stylesheet=O;for(var de in O.sources)this.addSource(de,O.sources[de],{validate:!1});O.sprite?this._loadSprite(O.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(O.glyphs);var ne=za(this.stylesheet.layers);this._order=ne.map(function(Yt){return Yt.id}),this._layers={},this._serializedLayers={};for(var we=0,Oe=ne;we<Oe.length;we+=1){var ht=Oe[we];ht=i.createStyleLayer(ht),ht.setEventedParent(this,{layer:{id:ht.id}}),this._layers[ht.id]=ht,this._serializedLayers[ht.id]=ht.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},D.prototype._loadSprite=function(O){var K=this;this._spriteRequest=m(O,this.map._requestManager,function(de,ne){if(K._spriteRequest=null,de)K.fire(new i.ErrorEvent(de));else if(ne)for(var we in ne)K.imageManager.addImage(we,ne[we]);K.imageManager.setLoaded(!0),K._availableImages=K.imageManager.listImages(),K.dispatcher.broadcast(\"setImages\",K._availableImages),K.fire(new i.Event(\"data\",{dataType:\"style\"}))})},D.prototype._validateLayer=function(O){var K=this.sourceCaches[O.source];if(K){var de=O.sourceLayer;if(de){var ne=K.getSource();(ne.type===\"geojson\"||ne.vectorLayerIds&&ne.vectorLayerIds.indexOf(de)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+de+'\" does not exist on source \"'+ne.id+'\" as specified by style layer \"'+O.id+'\"')))}}},D.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var O in this.sourceCaches)if(!this.sourceCaches[O].loaded())return!1;return!!this.imageManager.isLoaded()},D.prototype._serializeLayers=function(O){for(var K=[],de=0,ne=O;de<ne.length;de+=1){var we=ne[de],Oe=this._layers[we];Oe.type!==\"custom\"&&K.push(Oe.serialize())}return K},D.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var O in this.sourceCaches)if(this.sourceCaches[O].hasTransition())return!0;for(var K in this._layers)if(this._layers[K].hasTransition())return!0;return!1},D.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},D.prototype.update=function(O){if(this._loaded){var K=this._changed;if(this._changed){var de=Object.keys(this._updatedLayers),ne=Object.keys(this._removedLayers);(de.length||ne.length)&&this._updateWorkerLayers(de,ne);for(var we in this._updatedSources){var Oe=this._updatedSources[we];Oe===\"reload\"?this._reloadSource(we):Oe===\"clear\"&&this._clearSource(we)}this._updateTilesForChangedImages();for(var ht in this._updatedPaintProps)this._layers[ht].updateTransitions(O);this.light.updateTransitions(O),this._resetUpdates()}var Yt={};for(var cr in this.sourceCaches){var Nt=this.sourceCaches[cr];Yt[cr]=Nt.used,Nt.used=!1}for(var Ne=0,$e=this._order;Ne<$e.length;Ne+=1){var st=$e[Ne],It=this._layers[st];It.recalculate(O,this._availableImages),!It.isHidden(O.zoom)&&It.source&&(this.sourceCaches[It.source].used=!0)}for(var Bt in Yt){var Ft=this.sourceCaches[Bt];Yt[Bt]!==Ft.used&&Ft.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:Bt}))}this.light.recalculate(O),this.z=O.zoom,K&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},D.prototype._updateTilesForChangedImages=function(){var O=Object.keys(this._changedImages);if(O.length){for(var K in this.sourceCaches)this.sourceCaches[K].reloadTilesForDependencies([\"icons\",\"patterns\"],O);this._changedImages={}}},D.prototype._updateWorkerLayers=function(O,K){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(O),removedIds:K})},D.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},D.prototype.setState=function(O){var K=this;if(this._checkLoaded(),pl(this,i.validateStyle(O)))return!1;O=i.clone$1(O),O.layers=za(O.layers);var de=Sn(this.serialize(),O).filter(function(we){return!(we.command in Jl)});if(de.length===0)return!1;var ne=de.filter(function(we){return!(we.command in Zc)});if(ne.length>0)throw new Error(\"Unimplemented: \"+ne.map(function(we){return we.command}).join(\", \")+\".\");return de.forEach(function(we){we.command!==\"setTransition\"&&K[we.command].apply(K,we.args)}),this.stylesheet=O,!0},D.prototype.addImage=function(O,K){if(this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(O,K),this._afterImageUpdated(O)},D.prototype.updateImage=function(O,K){this.imageManager.updateImage(O,K)},D.prototype.getImage=function(O){return this.imageManager.getImage(O)},D.prototype.removeImage=function(O){if(!this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(O),this._afterImageUpdated(O)},D.prototype._afterImageUpdated=function(O){this._availableImages=this.imageManager.listImages(),this._changedImages[O]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},D.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},D.prototype.addSource=function(O,K,de){var ne=this;if(de===void 0&&(de={}),this._checkLoaded(),this.sourceCaches[O]!==void 0)throw new Error(\"There is already a source with this ID\");if(!K.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(K).join(\", \")+\".\");var we=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],Oe=we.indexOf(K.type)>=0;if(!(Oe&&this._validate(i.validateStyle.source,\"sources.\"+O,K,null,de))){this.map&&this.map._collectResourceTiming&&(K.collectResourceTiming=!0);var ht=this.sourceCaches[O]=new ti(O,K,this.dispatcher);ht.style=this,ht.setEventedParent(this,function(){return{isSourceLoaded:ne.loaded(),source:ht.serialize(),sourceId:O}}),ht.onAdd(this.map),this._changed=!0}},D.prototype.removeSource=function(O){if(this._checkLoaded(),this.sourceCaches[O]===void 0)throw new Error(\"There is no source with this ID\");for(var K in this._layers)if(this._layers[K].source===O)return this.fire(new i.ErrorEvent(new Error('Source \"'+O+'\" cannot be removed while layer \"'+K+'\" is using it.')));var de=this.sourceCaches[O];delete this.sourceCaches[O],delete this._updatedSources[O],de.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:O})),de.setEventedParent(null),de.clearTiles(),de.onRemove&&de.onRemove(this.map),this._changed=!0},D.prototype.setGeoJSONSourceData=function(O,K){this._checkLoaded();var de=this.sourceCaches[O].getSource();de.setData(K),this._changed=!0},D.prototype.getSource=function(O){return this.sourceCaches[O]&&this.sourceCaches[O].getSource()},D.prototype.addLayer=function(O,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=O.id;if(this.getLayer(ne)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+ne+'\" already exists on this map')));return}var we;if(O.type===\"custom\"){if(pl(this,i.validateCustomStyleLayer(O)))return;we=i.createStyleLayer(O)}else{if(typeof O.source==\"object\"&&(this.addSource(ne,O.source),O=i.clone$1(O),O=i.extend(O,{source:ne})),this._validate(i.validateStyle.layer,\"layers.\"+ne,O,{arrayIndex:-1},de))return;we=i.createStyleLayer(O),this._validateLayer(we),we.setEventedParent(this,{layer:{id:ne}}),this._serializedLayers[we.id]=we.serialize()}var Oe=K?this._order.indexOf(K):this._order.length;if(K&&Oe===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}if(this._order.splice(Oe,0,ne),this._layerOrderChanged=!0,this._layers[ne]=we,this._removedLayers[ne]&&we.source&&we.type!==\"custom\"){var ht=this._removedLayers[ne];delete this._removedLayers[ne],ht.type!==we.type?this._updatedSources[we.source]=\"clear\":(this._updatedSources[we.source]=\"reload\",this.sourceCaches[we.source].pause())}this._updateLayer(we),we.onAdd&&we.onAdd(this.map)},D.prototype.moveLayer=function(O,K){this._checkLoaded(),this._changed=!0;var de=this._layers[O];if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be moved.\")));return}if(O!==K){var ne=this._order.indexOf(O);this._order.splice(ne,1);var we=K?this._order.indexOf(K):this._order.length;if(K&&we===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}this._order.splice(we,0,O),this._layerOrderChanged=!0}},D.prototype.removeLayer=function(O){this._checkLoaded();var K=this._layers[O];if(!K){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be removed.\")));return}K.setEventedParent(null);var de=this._order.indexOf(O);this._order.splice(de,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[O]=K,delete this._layers[O],delete this._serializedLayers[O],delete this._updatedLayers[O],delete this._updatedPaintProps[O],K.onRemove&&K.onRemove(this.map)},D.prototype.getLayer=function(O){return this._layers[O]},D.prototype.hasLayer=function(O){return O in this._layers},D.prototype.setLayerZoomRange=function(O,K,de){this._checkLoaded();var ne=this.getLayer(O);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot have zoom extent.\")));return}ne.minzoom===K&&ne.maxzoom===de||(K!=null&&(ne.minzoom=K),de!=null&&(ne.maxzoom=de),this._updateLayer(ne))},D.prototype.setFilter=function(O,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=this.getLayer(O);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(ne.filter,K)){if(K==null){ne.filter=void 0,this._updateLayer(ne);return}this._validate(i.validateStyle.filter,\"layers.\"+ne.id+\".filter\",K,null,de)||(ne.filter=i.clone$1(K),this._updateLayer(ne))}},D.prototype.getFilter=function(O){return i.clone$1(this.getLayer(O).filter)},D.prototype.setLayoutProperty=function(O,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(O);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(we.getLayoutProperty(K),de)||(we.setLayoutProperty(K,de,ne),this._updateLayer(we))},D.prototype.getLayoutProperty=function(O,K){var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style.\")));return}return de.getLayoutProperty(K)},D.prototype.setPaintProperty=function(O,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(O);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(we.getPaintProperty(K),de)){var Oe=we.setPaintProperty(K,de,ne);Oe&&this._updateLayer(we),this._changed=!0,this._updatedPaintProps[O]=!0}},D.prototype.getPaintProperty=function(O,K){return this.getLayer(O).getPaintProperty(K)},D.prototype.setFeatureState=function(O,K){this._checkLoaded();var de=O.source,ne=O.sourceLayer,we=this.sourceCaches[de];if(we===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var Oe=we.getSource().type;if(Oe===\"geojson\"&&ne){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if(Oe===\"vector\"&&!ne){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),we.setFeatureState(ne,O.id,K)},D.prototype.removeFeatureState=function(O,K){this._checkLoaded();var de=O.source,ne=this.sourceCaches[de];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type,Oe=we===\"vector\"?O.sourceLayer:void 0;if(we===\"vector\"&&!Oe){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if(K&&typeof O.id!=\"string\"&&typeof O.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}ne.removeFeatureState(Oe,O.id,K)},D.prototype.getFeatureState=function(O){this._checkLoaded();var K=O.source,de=O.sourceLayer,ne=this.sourceCaches[K];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+K+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type;if(we===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),ne.getFeatureState(de,O.id)},D.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},D.prototype.serialize=function(){return i.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:i.mapObject(this.sourceCaches,function(O){return O.serialize()}),layers:this._serializeLayers(this._order)},function(O){return O!==void 0})},D.prototype._updateLayer=function(O){this._updatedLayers[O.id]=!0,O.source&&!this._updatedSources[O.source]&&this.sourceCaches[O.source].getSource().type!==\"raster\"&&(this._updatedSources[O.source]=\"reload\",this.sourceCaches[O.source].pause()),this._changed=!0},D.prototype._flattenAndSortRenderedFeatures=function(O){for(var K=this,de=function(bi){return K._layers[bi].type===\"fill-extrusion\"},ne={},we=[],Oe=this._order.length-1;Oe>=0;Oe--){var ht=this._order[Oe];if(de(ht)){ne[ht]=Oe;for(var Yt=0,cr=O;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=Nt[ht];if(Ne)for(var $e=0,st=Ne;$e<st.length;$e+=1){var It=st[$e];we.push(It)}}}}we.sort(function(bi,gn){return gn.intersectionZ-bi.intersectionZ});for(var Bt=[],Ft=this._order.length-1;Ft>=0;Ft--){var Ut=this._order[Ft];if(de(Ut))for(var zt=we.length-1;zt>=0;zt--){var _t=we[zt].feature;if(ne[_t.layer.id]<Ft)break;Bt.push(_t),we.pop()}else for(var Dt=0,vt=O;Dt<vt.length;Dt+=1){var lr=vt[Dt],_r=lr[Ut];if(_r)for(var Br=0,Di=_r;Br<Di.length;Br+=1){var ci=Di[Br];Bt.push(ci.feature)}}}return Bt},D.prototype.queryRenderedFeatures=function(O,K,de){K&&K.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",K.filter,null,K);var ne={};if(K&&K.layers){if(!Array.isArray(K.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var we=0,Oe=K.layers;we<Oe.length;we+=1){var ht=Oe[we],Yt=this._layers[ht];if(!Yt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+ht+\"' does not exist in the map's style and cannot be queried for features.\"))),[];ne[Yt.source]=!0}}var cr=[];K.availableImages=this._availableImages;for(var Nt in this.sourceCaches)K.layers&&!ne[Nt]||cr.push(ce(this.sourceCaches[Nt],this._layers,this._serializedLayers,O,K,de));return this.placement&&cr.push(He(this._layers,this._serializedLayers,this.sourceCaches,O,K,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(cr)},D.prototype.querySourceFeatures=function(O,K){K&&K.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",K.filter,null,K);var de=this.sourceCaches[O];return de?lt(de,K):[]},D.prototype.addSourceType=function(O,K,de){if(D.getSourceType(O))return de(new Error('A source type called \"'+O+'\" already exists.'));if(D.setSourceType(O,K),!K.workerSourceURL)return de(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:O,url:K.workerSourceURL},de)},D.prototype.getLight=function(){return this.light.getLight()},D.prototype.setLight=function(O,K){K===void 0&&(K={}),this._checkLoaded();var de=this.light.getLight(),ne=!1;for(var we in O)if(!i.deepEqual(O[we],de[we])){ne=!0;break}if(ne){var Oe={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(O,K),this.light.updateTransitions(Oe)}},D.prototype._validate=function(O,K,de,ne,we){return we===void 0&&(we={}),we&&we.validate===!1?!1:pl(this,O.call(i.validateStyle,i.extend({key:K,style:this.serialize(),value:de,styleSpec:i.styleSpec},ne)))},D.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var O in this._layers){var K=this._layers[O];K.setEventedParent(null)}for(var de in this.sourceCaches)this.sourceCaches[de].clearTiles(),this.sourceCaches[de].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},D.prototype._clearSource=function(O){this.sourceCaches[O].clearTiles()},D.prototype._reloadSource=function(O){this.sourceCaches[O].resume(),this.sourceCaches[O].reload()},D.prototype._updateSources=function(O){for(var K in this.sourceCaches)this.sourceCaches[K].update(O)},D.prototype._generateCollisionBoxes=function(){for(var O in this.sourceCaches)this._reloadSource(O)},D.prototype._updatePlacement=function(O,K,de,ne,we){we===void 0&&(we=!1);for(var Oe=!1,ht=!1,Yt={},cr=0,Nt=this._order;cr<Nt.length;cr+=1){var Ne=Nt[cr],$e=this._layers[Ne];if($e.type===\"symbol\"){if(!Yt[$e.source]){var st=this.sourceCaches[$e.source];Yt[$e.source]=st.getRenderableIds(!0).map(function(Dt){return st.getTileByID(Dt)}).sort(function(Dt,vt){return vt.tileID.overscaledZ-Dt.tileID.overscaledZ||(Dt.tileID.isLessThan(vt.tileID)?-1:1)})}var It=this.crossTileSymbolIndex.addLayer($e,Yt[$e.source],O.center.lng);Oe=Oe||It}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),we=we||this._layerOrderChanged||de===0,(we||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),O.zoom))&&(this.pauseablePlacement=new Oo(O,this._order,we,K,de,ne,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Yt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),ht=!0),Oe&&this.pauseablePlacement.placement.setStale()),ht||Oe)for(var Bt=0,Ft=this._order;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=this._layers[Ut];zt.type===\"symbol\"&&this.placement.updateLayerOpacities(zt,Yt[zt.source])}var _t=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return _t},D.prototype._releaseSymbolFadeTiles=function(){for(var O in this.sourceCaches)this.sourceCaches[O].releaseSymbolFadeTiles()},D.prototype.getImages=function(O,K,de){this.imageManager.getImages(K.icons,de),this._updateTilesForChangedImages();var ne=this.sourceCaches[K.source];ne&&ne.setDependencies(K.tileID.key,K.type,K.icons)},D.prototype.getGlyphs=function(O,K,de){this.glyphManager.getGlyphs(K.stacks,de)},D.prototype.getResource=function(O,K,de){return i.makeRequest(K,de)},D})(i.Evented);yu.getSourceType=Be,yu.setSourceType=Le,yu.registerForPluginStateChange=i.registerForPluginStateChange;var oc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Cf=`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif`,sc=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}`,jh=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Lf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",cs=`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,af=\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\",Gf=`varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,$l=`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`,fl=\"void main() {gl_FragColor=vec4(1.0);}\",lc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Fu=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Es=`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}`,Hs=`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,Go=\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\",ps=\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",uc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",bl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",Gu=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",Os=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",od=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",Po=`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,sd=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,Ko=`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Pa=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,of=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Hu=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,wl=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Hf=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,Ic=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,yf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Ol=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ah=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,Qf=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,_f=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",Yc=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,eh=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",th=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ju=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,jf=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,cc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,sf=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Bl=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Kc=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Rc=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,gs=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Wf=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",Wh=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,rh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,lf=`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Sh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,Mu=`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ih=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,js=Us(Cf,sc),Eu=Us(jh,Lf),Dc=Us(cs,af),ks=Us(Gf,$l),bc=Us(fl,lc),hu=Us(Fu,Es),_u=Us(Hs,Go),il=Us(ps,uc),nh=Us(bl,Gu),Mh=Us(Os,od),zu=Us(Po,sd),Fc=Us(Ko,Pa),wc=Us(of,Hu),bd=Us(wl,Hf),xf=Us(Ic,yf),Pf=Us(Ol,Ah),qu=Us(Qf,_f),bf=Us(Yc,eh),jl=Us(th,ju),uf=Us(jf,cc),Xh=Us(sf,Bl),If=Us(Kc,Rc),Cs=Us(gs,Wf),du=Us(Wh,rh),ku=Us(lf,Sh),Xf=Us(Mu,ih);function Us(Y,D){var J=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,O=D.match(/attribute ([\\w]+) ([\\w]+)/g),K=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=D.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),ne=de?de.concat(K):K,we={};return Y=Y.replace(J,function(Oe,ht,Yt,cr,Nt){return we[Nt]=!0,ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "varying `+Yt+\" \"+cr+\" \"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`}),D=D.replace(J,function(Oe,ht,Yt,cr,Nt){var Ne=cr===\"float\"?\"vec2\":\"vec4\",$e=Nt.match(/color/)?\"color\":Ne;return we[Nt]?ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "uniform lowp float u_`+Nt+`_t;\n",
+       "attribute `+Yt+\" \"+Ne+\" a_\"+Nt+`;\n",
+       "varying `+Yt+\" \"+cr+\" \"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:$e===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Nt+\" = a_\"+Nt+`;\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Nt+\" = unpack_mix_\"+$e+\"(a_\"+Nt+\", u_\"+Nt+`_t);\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "uniform lowp float u_`+Nt+`_t;\n",
+       "attribute `+Yt+\" \"+Ne+\" a_\"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:$e===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = a_\"+Nt+`;\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = unpack_mix_\"+$e+\"(a_\"+Nt+\", u_\"+Nt+`_t);\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`}),{fragmentSource:Y,vertexSource:D,staticAttributes:O,staticUniforms:ne}}var wf=Object.freeze({__proto__:null,prelude:js,background:Eu,backgroundPattern:Dc,circle:ks,clippingMask:bc,heatmap:hu,heatmapTexture:_u,collisionBox:il,collisionCircle:nh,debug:Mh,fill:zu,fillOutline:Fc,fillOutlinePattern:wc,fillPattern:bd,fillExtrusion:xf,fillExtrusionPattern:Pf,hillshadePrepare:qu,hillshade:bf,line:jl,lineGradient:uf,linePattern:Xh,lineSDF:If,raster:Cs,symbolIcon:du,symbolSDF:ku,symbolTextAndIcon:Xf}),zc=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};zc.prototype.bind=function(D,J,O,K,de,ne,we,Oe){this.context=D;for(var ht=this.boundPaintVertexBuffers.length!==K.length,Yt=0;!ht&&Yt<K.length;Yt++)this.boundPaintVertexBuffers[Yt]!==K[Yt]&&(ht=!0);var cr=!this.vao||this.boundProgram!==J||this.boundLayoutVertexBuffer!==O||ht||this.boundIndexBuffer!==de||this.boundVertexOffset!==ne||this.boundDynamicVertexBuffer!==we||this.boundDynamicVertexBuffer2!==Oe;!D.extVertexArrayObject||cr?this.freshBind(J,O,K,de,ne,we,Oe):(D.bindVertexArrayOES.set(this.vao),we&&we.bind(),de&&de.dynamicDraw&&de.bind(),Oe&&Oe.bind())},zc.prototype.freshBind=function(D,J,O,K,de,ne,we){var Oe,ht=D.numAttributes,Yt=this.context,cr=Yt.gl;if(Yt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Yt.extVertexArrayObject.createVertexArrayOES(),Yt.bindVertexArrayOES.set(this.vao),Oe=0,this.boundProgram=D,this.boundLayoutVertexBuffer=J,this.boundPaintVertexBuffers=O,this.boundIndexBuffer=K,this.boundVertexOffset=de,this.boundDynamicVertexBuffer=ne,this.boundDynamicVertexBuffer2=we;else{Oe=Yt.currentNumAttributes||0;for(var Nt=ht;Nt<Oe;Nt++)cr.disableVertexAttribArray(Nt)}J.enableAttributes(cr,D);for(var Ne=0,$e=O;Ne<$e.length;Ne+=1){var st=$e[Ne];st.enableAttributes(cr,D)}ne&&ne.enableAttributes(cr,D),we&&we.enableAttributes(cr,D),J.bind(),J.setVertexAttribPointers(cr,D,de);for(var It=0,Bt=O;It<Bt.length;It+=1){var Ft=Bt[It];Ft.bind(),Ft.setVertexAttribPointers(cr,D,de)}ne&&(ne.bind(),ne.setVertexAttribPointers(cr,D,de)),K&&K.bind(),we&&(we.bind(),we.setVertexAttribPointers(cr,D,de)),Yt.currentNumAttributes=ht},zc.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function Wu(Y){for(var D=[],J=0;J<Y.length;J++)if(Y[J]!==null){var O=Y[J].split(\" \");D.push(O.pop())}return D}var Rf=function(D,J,O,K,de,ne){var we=D.gl;this.program=we.createProgram();for(var Oe=Wu(O.staticAttributes),ht=K?K.getBinderAttributes():[],Yt=Oe.concat(ht),cr=O.staticUniforms?Wu(O.staticUniforms):[],Nt=K?K.getBinderUniforms():[],Ne=cr.concat(Nt),$e=[],st=0,It=Ne;st<It.length;st+=1){var Bt=It[st];$e.indexOf(Bt)<0&&$e.push(Bt)}var Ft=K?K.defines():[];ne&&Ft.push(\"#define OVERDRAW_INSPECTOR;\");var Ut=Ft.concat(js.fragmentSource,O.fragmentSource).join(`\n",
+       "`),zt=Ft.concat(js.vertexSource,O.vertexSource).join(`\n",
+       "`),_t=we.createShader(we.FRAGMENT_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(_t,Ut),we.compileShader(_t),we.attachShader(this.program,_t);var Dt=we.createShader(we.VERTEX_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(Dt,zt),we.compileShader(Dt),we.attachShader(this.program,Dt),this.attributes={};var vt={};this.numAttributes=Yt.length;for(var lr=0;lr<this.numAttributes;lr++)Yt[lr]&&(we.bindAttribLocation(this.program,lr,Yt[lr]),this.attributes[Yt[lr]]=lr);we.linkProgram(this.program),we.deleteShader(Dt),we.deleteShader(_t);for(var _r=0;_r<$e.length;_r++){var Br=$e[_r];if(Br&&!vt[Br]){var Di=we.getUniformLocation(this.program,Br);Di&&(vt[Br]=Di)}}this.fixedUniforms=de(D,vt),this.binderUniforms=K?K.getUniforms(D,vt):[]};Rf.prototype.draw=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne,$e,st,It){var Bt,Ft=D.gl;if(!this.failedToCreate){D.program.set(this.program),D.setDepthMode(O),D.setStencilMode(K),D.setColorMode(de),D.setCullFace(ne);for(var Ut in this.fixedUniforms)this.fixedUniforms[Ut].set(we[Ut]);$e&&$e.setUniforms(D,this.binderUniforms,Nt,{zoom:Ne});for(var zt=(Bt={},Bt[Ft.LINES]=2,Bt[Ft.TRIANGLES]=3,Bt[Ft.LINE_STRIP]=1,Bt)[J],_t=0,Dt=cr.get();_t<Dt.length;_t+=1){var vt=Dt[_t],lr=vt.vaos||(vt.vaos={}),_r=lr[Oe]||(lr[Oe]=new zc);_r.bind(D,this,ht,$e?$e.getPaintVertexBuffers():[],Yt,vt.vertexOffset,st,It),Ft.drawElements(J,vt.primitiveLength*zt,Ft.UNSIGNED_SHORT,vt.primitiveOffset*zt*2)}}};function Xu(Y,D,J){var O=1/As(J,1,D.transform.tileZoom),K=Math.pow(2,J.tileID.overscaledZ),de=J.tileSize*Math.pow(2,D.transform.tileZoom)/K,ne=de*(J.tileID.canonical.x+J.tileID.wrap*K),we=de*J.tileID.canonical.y;return{u_image:0,u_texsize:J.imageAtlasTexture.size,u_scale:[O,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[ne>>16,we>>16],u_pixel_coord_lower:[ne&65535,we&65535]}}function cf(Y,D,J,O){var K=J.imageManager.getPattern(Y.from.toString()),de=J.imageManager.getPattern(Y.to.toString()),ne=J.imageManager.getPixelSize(),we=ne.width,Oe=ne.height,ht=Math.pow(2,O.tileID.overscaledZ),Yt=O.tileSize*Math.pow(2,J.transform.tileZoom)/ht,cr=Yt*(O.tileID.canonical.x+O.tileID.wrap*ht),Nt=Yt*O.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:K.tl,u_pattern_br_a:K.br,u_pattern_tl_b:de.tl,u_pattern_br_b:de.br,u_texsize:[we,Oe],u_mix:D.t,u_pattern_size_a:K.displaySize,u_pattern_size_b:de.displaySize,u_scale_a:D.fromScale,u_scale_b:D.toScale,u_tile_units_to_pixels:1/As(O,1,J.transform.tileZoom),u_pixel_coord_upper:[cr>>16,Nt>>16],u_pixel_coord_lower:[cr&65535,Nt&65535]}}var Zf=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},Wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,D.u_height_factor),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},ah=function(Y,D,J,O){var K=D.style.light,de=K.properties.get(\"position\"),ne=[de.x,de.y,de.z],we=i.create$1();K.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(we,-D.transform.angle),i.transformMat3(ne,ne,we);var Oe=K.properties.get(\"color\");return{u_matrix:Y,u_lightpos:ne,u_lightintensity:K.properties.get(\"intensity\"),u_lightcolor:[Oe.r,Oe.g,Oe.b],u_vertical_gradient:+J,u_opacity:O}},Zu=function(Y,D,J,O,K,de,ne){return i.extend(ah(Y,D,J,O),Xu(de,D,ne),{u_height_factor:-Math.pow(2,K.overscaledZ)/ne.tileSize/8})},qc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Tc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},Tl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world)}},vu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},Oc=function(Y){return{u_matrix:Y}},ff=function(Y,D,J,O){return i.extend(Oc(Y),Xu(J,D,O))},fc=function(Y,D){return{u_matrix:Y,u_world:D}},Bc=function(Y,D,J,O,K){return i.extend(ff(Y,D,J,O),{u_world:K})},kt=function(Y,D){return{u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,D.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Zt=function(Y,D,J,O){var K=Y.transform,de,ne;if(O.paint.get(\"circle-pitch-alignment\")===\"map\"){var we=As(J,1,K.zoom);de=!0,ne=[we,we]}else de=!1,ne=K.pixelsToGLUnits;return{u_camera_to_center_distance:K.cameraToCenterDistance,u_scale_with_map:+(O.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Y.translatePosMatrix(D.posMatrix,J,O.paint.get(\"circle-translate\"),O.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+de,u_device_pixel_ratio:i.browser.devicePixelRatio,u_extrude_scale:ne}},Er=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pixels_to_tile_units:new i.Uniform1f(Y,D.u_pixels_to_tile_units),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_overscale_factor:new i.Uniform1f(Y,D.u_overscale_factor)}},xr=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_inv_matrix:new i.UniformMatrix4f(Y,D.u_inv_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_viewport_size:new i.Uniform2f(Y,D.u_viewport_size)}},Kr=function(Y,D,J){var O=As(J,1,D.zoom),K=Math.pow(2,D.zoom-J.tileID.overscaledZ),de=J.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:D.cameraToCenterDistance,u_pixels_to_tile_units:O,u_extrude_scale:[D.pixelsToGLUnits[0]/(O*K),D.pixelsToGLUnits[1]/(O*K)],u_overscale_factor:de}},Mi=function(Y,D,J){return{u_matrix:Y,u_inv_matrix:D,u_camera_to_center_distance:J.cameraToCenterDistance,u_viewport_size:[J.width,J.height]}},Xi=function(Y,D){return{u_color:new i.UniformColor(Y,D.u_color),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_overlay:new i.Uniform1i(Y,D.u_overlay),u_overlay_scale:new i.Uniform1f(Y,D.u_overlay_scale)}},dn=function(Y,D,J){return J===void 0&&(J=1),{u_matrix:Y,u_color:D,u_overlay:0,u_overlay_scale:J}},wn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},On=function(Y){return{u_matrix:Y}},Yi=function(Y,D){return{u_extrude_scale:new i.Uniform1f(Y,D.u_extrude_scale),u_intensity:new i.Uniform1f(Y,D.u_intensity),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},$i=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_color_ramp:new i.Uniform1i(Y,D.u_color_ramp),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},an=function(Y,D,J,O){return{u_matrix:Y,u_extrude_scale:As(D,1,J),u_intensity:O}},Fi=function(Y,D,J,O){var K=i.create();i.ortho(K,0,Y.width,Y.height,0,0,1);var de=Y.context.gl;return{u_matrix:K,u_world:[de.drawingBufferWidth,de.drawingBufferHeight],u_image:J,u_color_ramp:O,u_opacity:D.paint.get(\"heatmap-opacity\")}},ta=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_latrange:new i.Uniform2f(Y,D.u_latrange),u_light:new i.Uniform2f(Y,D.u_light),u_shadow:new i.UniformColor(Y,D.u_shadow),u_highlight:new i.UniformColor(Y,D.u_highlight),u_accent:new i.UniformColor(Y,D.u_accent)}},Ca=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_dimension:new i.Uniform2f(Y,D.u_dimension),u_zoom:new i.Uniform1f(Y,D.u_zoom),u_unpack:new i.Uniform4f(Y,D.u_unpack)}},Ra=function(Y,D,J){var O=J.paint.get(\"hillshade-shadow-color\"),K=J.paint.get(\"hillshade-highlight-color\"),de=J.paint.get(\"hillshade-accent-color\"),ne=J.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);J.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(ne-=Y.transform.angle);var we=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(D.tileID.toUnwrapped(),we),u_image:0,u_latrange:Ua(Y,D.tileID),u_light:[J.paint.get(\"hillshade-exaggeration\"),ne],u_shadow:O,u_highlight:K,u_accent:de}},La=function(Y,D){var J=D.stride,O=i.create();return i.ortho(O,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(O,O,[0,-i.EXTENT,0]),{u_matrix:O,u_image:1,u_dimension:[J,J],u_zoom:Y.overscaledZ,u_unpack:D.getUnpackVector()}};function Ua(Y,D){var J=Math.pow(2,D.canonical.z),O=D.canonical.y;return[new i.MercatorCoordinate(0,O/J).toLngLat().lat,new i.MercatorCoordinate(0,(O+1)/J).toLngLat().lat]}var Zn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels)}},Dn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_image:new i.Uniform1i(Y,D.u_image),u_image_height:new i.Uniform1f(Y,D.u_image_height)}},Ka=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,D.u_image),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},bo=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_patternscale_a:new i.Uniform2f(Y,D.u_patternscale_a),u_patternscale_b:new i.Uniform2f(Y,D.u_patternscale_b),u_sdfgamma:new i.Uniform1f(Y,D.u_sdfgamma),u_image:new i.Uniform1i(Y,D.u_image),u_tex_y_a:new i.Uniform1f(Y,D.u_tex_y_a),u_tex_y_b:new i.Uniform1f(Y,D.u_tex_y_b),u_mix:new i.Uniform1f(Y,D.u_mix)}},Zo=function(Y,D,J){var O=Y.transform;return{u_matrix:ml(Y,D,J),u_ratio:1/As(D,1,O.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_units_to_pixels:[1/O.pixelsToGLUnits[0],1/O.pixelsToGLUnits[1]]}},Ss=function(Y,D,J,O){return i.extend(Zo(Y,D,J),{u_image:0,u_image_height:O})},as=function(Y,D,J,O){var K=Y.transform,de=Ho(D,K);return{u_matrix:ml(Y,D,J),u_texsize:D.imageAtlasTexture.size,u_ratio:1/As(D,1,K.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[de,O.fromScale,O.toScale],u_fade:O.t,u_units_to_pixels:[1/K.pixelsToGLUnits[0],1/K.pixelsToGLUnits[1]]}},ws=function(Y,D,J,O,K){var de=Y.transform,ne=Y.lineAtlas,we=Ho(D,de),Oe=J.layout.get(\"line-cap\")===\"round\",ht=ne.getDash(O.from,Oe),Yt=ne.getDash(O.to,Oe),cr=ht.width*K.fromScale,Nt=Yt.width*K.toScale;return i.extend(Zo(Y,D,J),{u_patternscale_a:[we/cr,-ht.height/2],u_patternscale_b:[we/Nt,-Yt.height/2],u_sdfgamma:ne.width/(Math.min(cr,Nt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:ht.y,u_tex_y_b:Yt.y,u_mix:K.t})};function Ho(Y,D){return 1/As(Y,1,D.tileZoom)}function ml(Y,D,J){return Y.translatePosMatrix(D.tileID.posMatrix,D,J.paint.get(\"line-translate\"),J.paint.get(\"line-translate-anchor\"))}var Ws=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_tl_parent:new i.Uniform2f(Y,D.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,D.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,D.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,D.u_fade_t),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image0:new i.Uniform1i(Y,D.u_image0),u_image1:new i.Uniform1i(Y,D.u_image1),u_brightness_low:new i.Uniform1f(Y,D.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,D.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,D.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,D.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,D.u_spin_weights)}},Ls=function(Y,D,J,O,K){return{u_matrix:Y,u_tl_parent:D,u_scale_parent:J,u_buffer_scale:1,u_fade_t:O.mix,u_opacity:O.opacity*K.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:K.paint.get(\"raster-brightness-min\"),u_brightness_high:K.paint.get(\"raster-brightness-max\"),u_saturation_factor:ys(K.paint.get(\"raster-saturation\")),u_contrast_factor:no(K.paint.get(\"raster-contrast\")),u_spin_weights:va(K.paint.get(\"raster-hue-rotate\"))}};function va(Y){Y*=Math.PI/180;var D=Math.sin(Y),J=Math.cos(Y);return[(2*J+1)/3,(-Math.sqrt(3)*D-J+1)/3,(Math.sqrt(3)*D-J+1)/3]}function no(Y){return Y>0?1/(1-Y):1+Y}function ys(Y){return Y>0?1-1/(1.001-Y):-Y}var rs=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture)}},Ql=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Cu=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texsize_icon:new i.Uniform2f(Y,D.u_texsize_icon),u_texture:new i.Uniform1i(Y,D.u_texture),u_texture_icon:new i.Uniform1i(Y,D.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Yu=function(Y,D,J,O,K,de,ne,we,Oe,ht){var Yt=K.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:D?D.uSizeT:0,u_size:D?D.uSize:0,u_camera_to_center_distance:Yt.cameraToCenterDistance,u_pitch:Yt.pitch/360*2*Math.PI,u_rotate_symbol:+J,u_aspect_ratio:Yt.width/Yt.height,u_fade_change:K.options.fadeDuration?K.symbolFadeChange:1,u_matrix:de,u_label_plane_matrix:ne,u_coord_matrix:we,u_is_text:+Oe,u_pitch_with_map:+O,u_texsize:ht,u_texture:0}},Nc=function(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=K.transform;return i.extend(Yu(Y,D,J,O,K,de,ne,we,Oe,ht),{u_gamma_scale:O?Math.cos(cr._pitch)*cr.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Yt})},pu=function(Y,D,J,O,K,de,ne,we,Oe,ht){return i.extend(Nc(Y,D,J,O,K,de,ne,we,!0,Oe,!0),{u_texsize_icon:ht,u_texture_icon:1})},Uc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_color:new i.UniformColor(Y,D.u_color)}},xu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image:new i.Uniform1i(Y,D.u_image),u_pattern_tl_a:new i.Uniform2f(Y,D.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,D.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,D.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,D.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_mix:new i.Uniform1f(Y,D.u_mix),u_pattern_size_a:new i.Uniform2f(Y,D.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,D.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,D.u_scale_a),u_scale_b:new i.Uniform1f(Y,D.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,D.u_tile_units_to_pixels)}},Ac=function(Y,D,J){return{u_matrix:Y,u_opacity:D,u_color:J}},Va=function(Y,D,J,O,K,de){return i.extend(cf(O,de,J,K),{u_matrix:Y,u_opacity:D})},oo={fillExtrusion:Zf,fillExtrusionPattern:Wl,fill:qc,fillPattern:Tc,fillOutline:Tl,fillOutlinePattern:vu,circle:kt,collisionBox:Er,collisionCircle:xr,debug:Xi,clippingMask:wn,heatmap:Yi,heatmapTexture:$i,hillshade:ta,hillshadePrepare:Ca,line:Zn,lineGradient:Dn,linePattern:Ka,lineSDF:bo,raster:Ws,symbolIcon:rs,symbolSDF:Ql,symbolTextAndIcon:Cu,background:Uc,backgroundPattern:xu},Vc;function hc(Y,D,J,O,K,de,ne){for(var we=Y.context,Oe=we.gl,ht=Y.useProgram(\"collisionBox\"),Yt=[],cr=0,Nt=0,Ne=0;Ne<O.length;Ne++){var $e=O[Ne],st=D.getTile($e),It=st.getBucket(J);if(It){var Bt=$e.posMatrix;(K[0]!==0||K[1]!==0)&&(Bt=Y.translatePosMatrix($e.posMatrix,st,K,de));var Ft=ne?It.textCollisionBox:It.iconCollisionBox,Ut=It.collisionCircleArray;if(Ut.length>0){var zt=i.create(),_t=Bt;i.mul(zt,It.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(zt,zt,It.placementViewportMatrix),Yt.push({circleArray:Ut,circleOffset:Nt,transform:_t,invTransform:zt}),cr+=Ut.length/4,Nt=cr}Ft&&ht.draw(we,Oe.LINES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,Kr(Bt,Y.transform,st),J.id,Ft.layoutVertexBuffer,Ft.indexBuffer,Ft.segments,null,Y.transform.zoom,null,null,Ft.collisionVertexBuffer)}}if(!(!ne||!Yt.length)){var Dt=Y.useProgram(\"collisionCircle\"),vt=new i.StructArrayLayout2f1f2i16;vt.resize(cr*4),vt._trim();for(var lr=0,_r=0,Br=Yt;_r<Br.length;_r+=1)for(var Di=Br[_r],ci=0;ci<Di.circleArray.length/4;ci++){var bi=ci*4,gn=Di.circleArray[bi+0],tn=Di.circleArray[bi+1],Ei=Di.circleArray[bi+2],Oi=Di.circleArray[bi+3];vt.emplace(lr++,gn,tn,Ei,Oi,0),vt.emplace(lr++,gn,tn,Ei,Oi,1),vt.emplace(lr++,gn,tn,Ei,Oi,2),vt.emplace(lr++,gn,tn,Ei,Oi,3)}(!Vc||Vc.length<cr*2)&&(Vc=Ku(cr));for(var Gi=we.createIndexBuffer(Vc,!0),on=we.createVertexBuffer(vt,i.collisionCircleLayout.members,!0),zn=0,Ja=Yt;zn<Ja.length;zn+=1){var co=Ja[zn],ts=Mi(co.transform,co.invTransform,Y.transform);Dt.draw(we,Oe.TRIANGLES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,ts,J.id,on,Gi,i.SegmentVector.simpleSegment(0,co.circleOffset*2,co.circleArray.length,co.circleArray.length/2),null,Y.transform.zoom,null,null,null)}on.destroy(),Gi.destroy()}}function Ku(Y){var D=Y*2,J=new i.StructArrayLayout3ui6;J.resize(D),J._trim();for(var O=0;O<D;O++){var K=O*6;J.uint16[K+0]=O*4+0,J.uint16[K+1]=O*4+1,J.uint16[K+2]=O*4+2,J.uint16[K+3]=O*4+2,J.uint16[K+4]=O*4+3,J.uint16[K+5]=O*4+0}return J}var ue=i.identity(new Float32Array(16));function w(Y,D,J,O,K){if(Y.renderPass===\"translucent\"){var de=Vi.disabled,ne=Y.colorModeForRenderPass(),we=J.layout.get(\"text-variable-anchor\");we&&Q(O,Y,J,D,J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),K),J.paint.get(\"icon-opacity\").constantOr(1)!==0&&Fe(Y,D,J,O,!1,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),J.layout.get(\"icon-rotation-alignment\"),J.layout.get(\"icon-pitch-alignment\"),J.layout.get(\"icon-keep-upright\"),de,ne),J.paint.get(\"text-opacity\").constantOr(1)!==0&&Fe(Y,D,J,O,!0,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),J.layout.get(\"text-keep-upright\"),de,ne),D.map.showCollisionBoxes&&(hc(Y,D,J,O,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),!0),hc(Y,D,J,O,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,D,J,O,K,de){var ne=i.getAnchorAlignment(Y),we=ne.horizontalAlign,Oe=ne.verticalAlign,ht=-(we-.5)*D,Yt=-(Oe-.5)*J,cr=i.evaluateVariableOffset(Y,O);return new i.Point((ht/K+cr[0])*de,(Yt/K+cr[1])*de)}function Q(Y,D,J,O,K,de,ne){for(var we=D.transform,Oe=K===\"map\",ht=de===\"map\",Yt=0,cr=Y;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=O.getTile(Nt),$e=Ne.getBucket(J);if(!(!$e||!$e.text||!$e.text.segments.get().length)){var st=$e.textSizeData,It=i.evaluateSizeForZoom(st,we.zoom),Bt=As(Ne,1,D.transform.zoom),Ft=_n(Nt.posMatrix,ht,Oe,D.transform,Bt),Ut=J.layout.get(\"icon-text-fit\")!==\"none\"&&$e.hasIconData();if(It){var zt=Math.pow(2,we.zoom-Ne.tileID.overscaledZ);ee($e,Oe,ht,ne,i.symbolSize,we,Ft,Nt.posMatrix,zt,It,Ut)}}}}function ee(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=Y.text.placedSymbolArray,Nt=Y.text.dynamicLayoutVertexArray,Ne=Y.icon.dynamicLayoutVertexArray,$e={};Nt.clear();for(var st=0;st<cr.length;st++){var It=cr.get(st),Bt=Y.allowVerticalPlacement&&!It.placedOrientation,Ft=!It.hidden&&It.crossTileID&&!Bt?O[It.crossTileID]:null;if(!Ft)ul(It.numGlyphs,Nt);else{var Ut=new i.Point(It.anchorX,It.anchorY),zt=ea(Ut,J?we:ne),_t=Ma(de.cameraToCenterDistance,zt.signedDistanceFromCamera),Dt=K.evaluateSizeForFeature(Y.textSizeData,ht,It)*_t/i.ONE_EM;J&&(Dt*=Y.tilePixelRatio/Oe);for(var vt=Ft.width,lr=Ft.height,_r=Ft.anchor,Br=Ft.textOffset,Di=Ft.textBoxScale,ci=B(_r,vt,lr,Br,Di,Dt),bi=J?ea(Ut.add(ci),ne).point:zt.point.add(D?ci.rotate(-de.angle):ci),gn=Y.allowVerticalPlacement&&It.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,tn=0;tn<It.numGlyphs;tn++)i.addDynamicAttributes(Nt,bi,gn);Yt&&It.associatedIconIndex>=0&&($e[It.associatedIconIndex]={shiftedAnchor:bi,angle:gn})}}if(Yt){Ne.clear();for(var Ei=Y.icon.placedSymbolArray,Oi=0;Oi<Ei.length;Oi++){var Gi=Ei.get(Oi);if(Gi.hidden)ul(Gi.numGlyphs,Ne);else{var on=$e[Oi];if(!on)ul(Gi.numGlyphs,Ne);else for(var zn=0;zn<Gi.numGlyphs;zn++)i.addDynamicAttributes(Ne,on.shiftedAnchor,on.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(Ne)}Y.text.dynamicLayoutVertexBuffer.updateData(Nt)}function le(Y,D,J){return J.iconsInText&&D?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function Fe(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr){for(var Nt=Y.context,Ne=Nt.gl,$e=Y.transform,st=we===\"map\",It=Oe===\"map\",Bt=st&&J.layout.get(\"symbol-placement\")!==\"point\",Ft=st&&!It&&!Bt,Ut=J.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,zt=!1,_t=Y.depthModeForSublayer(0,An.ReadOnly),Dt=J.layout.get(\"text-variable-anchor\"),vt=[],lr=0,_r=O;lr<_r.length;lr+=1){var Br=_r[lr],Di=D.getTile(Br),ci=Di.getBucket(J);if(ci){var bi=K?ci.text:ci.icon;if(!(!bi||!bi.segments.get().length)){var gn=bi.programConfigurations.get(J.id),tn=K||ci.sdfIcons,Ei=K?ci.textSizeData:ci.iconSizeData,Oi=It||$e.pitch!==0,Gi=Y.useProgram(le(tn,K,ci),gn),on=i.evaluateSizeForZoom(Ei,$e.zoom),zn=void 0,Ja=[0,0],co=void 0,ts=void 0,so=null,Yo=void 0;if(K){if(co=Di.glyphAtlasTexture,ts=Ne.LINEAR,zn=Di.glyphAtlasTexture.size,ci.iconsInText){Ja=Di.imageAtlasTexture.size,so=Di.imageAtlasTexture;var ms=Ei.kind===\"composite\"||Ei.kind===\"camera\";Yo=Oi||Y.options.rotating||Y.options.zooming||ms?Ne.LINEAR:Ne.NEAREST}}else{var ou=J.layout.get(\"icon-size\").constantOr(0)!==1||ci.iconsNeedLinear;co=Di.imageAtlasTexture,ts=tn||Y.options.rotating||Y.options.zooming||ou||Oi?Ne.LINEAR:Ne.NEAREST,zn=Di.imageAtlasTexture.size}var Cv=As(Di,1,Y.transform.zoom),Lv=_n(Br.posMatrix,It,st,Y.transform,Cv),wd=ya(Br.posMatrix,It,st,Y.transform,Cv),Kv=Dt&&ci.hasTextData(),hg=J.layout.get(\"icon-text-fit\")!==\"none\"&&Kv&&ci.hasIconData();Bt&&No(ci,Br.posMatrix,Y,K,Lv,wd,It,ht);var gp=Y.translatePosMatrix(Br.posMatrix,Di,de,ne),Td=Bt||K&&Dt||hg?ue:Lv,mp=Y.translatePosMatrix(wd,Di,de,ne,!0),Vd=tn&&J.paint.get(K?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ad=void 0;tn?ci.iconsInText?Ad=pu(Ei.kind,on,Ft,It,Y,gp,Td,mp,zn,Ja):Ad=Nc(Ei.kind,on,Ft,It,Y,gp,Td,mp,K,zn,!0):Ad=Yu(Ei.kind,on,Ft,It,Y,gp,Td,mp,K,zn);var Pv={program:Gi,buffers:bi,uniformValues:Ad,atlasTexture:co,atlasTextureIcon:so,atlasInterpolation:ts,atlasInterpolationIcon:Yo,isSDF:tn,hasHalo:Vd};if(Ut&&ci.canOverlap){zt=!0;for(var Jv=bi.segments.get(),Iv=0,dy=Jv;Iv<dy.length;Iv+=1){var dg=dy[Iv];vt.push({segments:new i.SegmentVector([dg]),sortKey:dg.sortKey,state:Pv})}}else vt.push({segments:bi.segments,sortKey:0,state:Pv})}}}zt&&vt.sort(function(C1,L1){return C1.sortKey-L1.sortKey});for(var oh=0,vg=vt;oh<vg.length;oh+=1){var vy=vg[oh],Zh=vy.state;if(Nt.activeTexture.set(Ne.TEXTURE0),Zh.atlasTexture.bind(Zh.atlasInterpolation,Ne.CLAMP_TO_EDGE),Zh.atlasTextureIcon&&(Nt.activeTexture.set(Ne.TEXTURE1),Zh.atlasTextureIcon&&Zh.atlasTextureIcon.bind(Zh.atlasInterpolationIcon,Ne.CLAMP_TO_EDGE)),Zh.isSDF){var am=Zh.uniformValues;Zh.hasHalo&&(am.u_is_halo=1,Ze(Zh.buffers,vy.segments,J,Y,Zh.program,_t,Yt,cr,am)),am.u_is_halo=0}Ze(Zh.buffers,vy.segments,J,Y,Zh.program,_t,Yt,cr,Zh.uniformValues)}}function Ze(Y,D,J,O,K,de,ne,we,Oe){var ht=O.context,Yt=ht.gl;K.draw(ht,Yt.TRIANGLES,de,ne,we,wr.disabled,Oe,J.id,Y.layoutVertexBuffer,Y.indexBuffer,D,J.paint,O.transform.zoom,Y.programConfigurations.get(J.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function ut(Y,D,J,O){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"circle-opacity\"),de=J.paint.get(\"circle-stroke-width\"),ne=J.paint.get(\"circle-stroke-opacity\"),we=J.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!(K.constantOr(1)===0&&(de.constantOr(1)===0||ne.constantOr(1)===0))){for(var Oe=Y.context,ht=Oe.gl,Yt=Y.depthModeForSublayer(0,An.ReadOnly),cr=Vi.disabled,Nt=Y.colorModeForRenderPass(),Ne=[],$e=0;$e<O.length;$e++){var st=O[$e],It=D.getTile(st),Bt=It.getBucket(J);if(Bt){var Ft=Bt.programConfigurations.get(J.id),Ut=Y.useProgram(\"circle\",Ft),zt=Bt.layoutVertexBuffer,_t=Bt.indexBuffer,Dt=Zt(Y,st,It,J),vt={programConfiguration:Ft,program:Ut,layoutVertexBuffer:zt,indexBuffer:_t,uniformValues:Dt};if(we)for(var lr=Bt.segments.get(),_r=0,Br=lr;_r<Br.length;_r+=1){var Di=Br[_r];Ne.push({segments:new i.SegmentVector([Di]),sortKey:Di.sortKey,state:vt})}else Ne.push({segments:Bt.segments,sortKey:0,state:vt})}}we&&Ne.sort(function(co,ts){return co.sortKey-ts.sortKey});for(var ci=0,bi=Ne;ci<bi.length;ci+=1){var gn=bi[ci],tn=gn.state,Ei=tn.programConfiguration,Oi=tn.program,Gi=tn.layoutVertexBuffer,on=tn.indexBuffer,zn=tn.uniformValues,Ja=gn.segments;Oi.draw(Oe,ht.TRIANGLES,Yt,cr,Nt,wr.disabled,zn,J.id,Gi,on,Ja,J.paint,Y.transform.zoom,Ei)}}}}function Mt(Y,D,J,O){if(J.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var K=Y.context,de=K.gl,ne=Vi.disabled,we=new wt([de.ONE,de.ONE],i.Color.transparent,[!0,!0,!0,!0]);Jt(K,Y,J),K.clear({color:i.Color.transparent});for(var Oe=0;Oe<O.length;Oe++){var ht=O[Oe];if(!D.hasRenderableParent(ht)){var Yt=D.getTile(ht),cr=Yt.getBucket(J);if(cr){var Nt=cr.programConfigurations.get(J.id),Ne=Y.useProgram(\"heatmap\",Nt),$e=Y.transform,st=$e.zoom;Ne.draw(K,de.TRIANGLES,An.disabled,ne,we,wr.disabled,an(ht.posMatrix,Yt,st,J.paint.get(\"heatmap-intensity\")),J.id,cr.layoutVertexBuffer,cr.indexBuffer,cr.segments,J.paint,Y.transform.zoom,Nt)}}}K.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),yr(Y,J))}function Jt(Y,D,J){var O=Y.gl;Y.activeTexture.set(O.TEXTURE1),Y.viewport.set([0,0,D.width/4,D.height/4]);var K=J.heatmapFbo;if(K)O.bindTexture(O.TEXTURE_2D,K.colorAttachment.get()),Y.bindFramebuffer.set(K.framebuffer);else{var de=O.createTexture();O.bindTexture(O.TEXTURE_2D,de),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_S,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_T,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MIN_FILTER,O.LINEAR),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MAG_FILTER,O.LINEAR),K=J.heatmapFbo=Y.createFramebuffer(D.width/4,D.height/4,!1),$t(Y,D,de,K)}}function $t(Y,D,J,O){var K=Y.gl,de=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:K.UNSIGNED_BYTE;K.texImage2D(K.TEXTURE_2D,0,K.RGBA,D.width/4,D.height/4,0,K.RGBA,de,null),O.colorAttachment.set(J)}function yr(Y,D){var J=Y.context,O=J.gl,K=D.heatmapFbo;if(K){J.activeTexture.set(O.TEXTURE0),O.bindTexture(O.TEXTURE_2D,K.colorAttachment.get()),J.activeTexture.set(O.TEXTURE1);var de=D.colorRampTexture;de||(de=D.colorRampTexture=new i.Texture(J,D.colorRamp,O.RGBA)),de.bind(O.LINEAR,O.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(J,O.TRIANGLES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,Fi(Y,D,0,1),D.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,D.paint,Y.transform.zoom)}}function Cr(Y,D,J,O){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"line-opacity\"),de=J.paint.get(\"line-width\");if(!(K.constantOr(1)===0||de.constantOr(1)===0))for(var ne=Y.depthModeForSublayer(0,An.ReadOnly),we=Y.colorModeForRenderPass(),Oe=J.paint.get(\"line-dasharray\"),ht=J.paint.get(\"line-pattern\"),Yt=ht.constantOr(1),cr=J.paint.get(\"line-gradient\"),Nt=J.getCrossfadeParameters(),Ne=Yt?\"linePattern\":Oe?\"lineSDF\":cr?\"lineGradient\":\"line\",$e=Y.context,st=$e.gl,It=!0,Bt=0,Ft=O;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=D.getTile(Ut);if(!(Yt&&!zt.patternsLoaded())){var _t=zt.getBucket(J);if(_t){var Dt=_t.programConfigurations.get(J.id),vt=Y.context.program.get(),lr=Y.useProgram(Ne,Dt),_r=It||lr.program!==vt,Br=ht.constantOr(null);if(Br&&zt.imageAtlas){var Di=zt.imageAtlas,ci=Di.patternPositions[Br.to.toString()],bi=Di.patternPositions[Br.from.toString()];ci&&bi&&Dt.setConstantPatternPositions(ci,bi)}var gn=Yt?as(Y,zt,J,Nt):Oe?ws(Y,zt,J,Oe,Nt):cr?Ss(Y,zt,J,_t.lineClipsArray.length):Zo(Y,zt,J);if(Yt)$e.activeTexture.set(st.TEXTURE0),zt.imageAtlasTexture.bind(st.LINEAR,st.CLAMP_TO_EDGE),Dt.updatePaintBuffers(Nt);else if(Oe&&(_r||Y.lineAtlas.dirty))$e.activeTexture.set(st.TEXTURE0),Y.lineAtlas.bind($e);else if(cr){var tn=_t.gradients[J.id],Ei=tn.texture;if(J.gradientVersion!==tn.version){var Oi=256;if(J.stepInterpolant){var Gi=D.getSource().maxzoom,on=Ut.canonical.z===Gi?Math.ceil(1<<Y.transform.maxZoom-Ut.canonical.z):1,zn=_t.maxLineLength/i.EXTENT,Ja=1024,co=zn*Ja*on;Oi=i.clamp(i.nextPowerOfTwo(co),256,$e.maxTextureSize)}tn.gradient=i.renderColorRamp({expression:J.gradientExpression(),evaluationKey:\"lineProgress\",resolution:Oi,image:tn.gradient||void 0,clips:_t.lineClipsArray}),tn.texture?tn.texture.update(tn.gradient):tn.texture=new i.Texture($e,tn.gradient,st.RGBA),tn.version=J.gradientVersion,Ei=tn.texture}$e.activeTexture.set(st.TEXTURE0),Ei.bind(J.stepInterpolant?st.NEAREST:st.LINEAR,st.CLAMP_TO_EDGE)}lr.draw($e,st.TRIANGLES,ne,Y.stencilModeForClipping(Ut),we,wr.disabled,gn,J.id,_t.layoutVertexBuffer,_t.indexBuffer,_t.segments,J.paint,Y.transform.zoom,Dt,_t.layoutVertexBuffer2),It=!1}}}}}function ve(Y,D,J,O){var K=J.paint.get(\"fill-color\"),de=J.paint.get(\"fill-opacity\");if(de.constantOr(1)!==0){var ne=Y.colorModeForRenderPass(),we=J.paint.get(\"fill-pattern\"),Oe=Y.opaquePassEnabledForLayer()&&!we.constantOr(1)&&K.constantOr(i.Color.transparent).a===1&&de.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===Oe){var ht=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?An.ReadWrite:An.ReadOnly);xe(Y,D,J,O,ht,ne,!1)}if(Y.renderPass===\"translucent\"&&J.paint.get(\"fill-antialias\")){var Yt=Y.depthModeForSublayer(J.getPaintProperty(\"fill-outline-color\")?2:0,An.ReadOnly);xe(Y,D,J,O,Yt,ne,!0)}}}function xe(Y,D,J,O,K,de,ne){var we=Y.context.gl,Oe=J.paint.get(\"fill-pattern\"),ht=Oe&&Oe.constantOr(1),Yt=J.getCrossfadeParameters(),cr,Nt,Ne,$e,st;ne?(Nt=ht&&!J.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",cr=we.LINES):(Nt=ht?\"fillPattern\":\"fill\",cr=we.TRIANGLES);for(var It=0,Bt=O;It<Bt.length;It+=1){var Ft=Bt[It],Ut=D.getTile(Ft);if(!(ht&&!Ut.patternsLoaded())){var zt=Ut.getBucket(J);if(zt){var _t=zt.programConfigurations.get(J.id),Dt=Y.useProgram(Nt,_t);ht&&(Y.context.activeTexture.set(we.TEXTURE0),Ut.imageAtlasTexture.bind(we.LINEAR,we.CLAMP_TO_EDGE),_t.updatePaintBuffers(Yt));var vt=Oe.constantOr(null);if(vt&&Ut.imageAtlas){var lr=Ut.imageAtlas,_r=lr.patternPositions[vt.to.toString()],Br=lr.patternPositions[vt.from.toString()];_r&&Br&&_t.setConstantPatternPositions(_r,Br)}var Di=Y.translatePosMatrix(Ft.posMatrix,Ut,J.paint.get(\"fill-translate\"),J.paint.get(\"fill-translate-anchor\"));if(!ne)$e=zt.indexBuffer,st=zt.segments,Ne=ht?ff(Di,Y,Yt,Ut):Oc(Di);else{$e=zt.indexBuffer2,st=zt.segments2;var ci=[we.drawingBufferWidth,we.drawingBufferHeight];Ne=Nt===\"fillOutlinePattern\"&&ht?Bc(Di,Y,Yt,Ut,ci):fc(Di,ci)}Dt.draw(Y.context,cr,K,Y.stencilModeForClipping(Ft),de,wr.disabled,Ne,J.id,zt.layoutVertexBuffer,$e,st,J.paint,Y.transform.zoom,_t)}}}}function Ie(Y,D,J,O){var K=J.paint.get(\"fill-extrusion-opacity\");if(K!==0&&Y.renderPass===\"translucent\"){var de=new An(Y.context.gl.LEQUAL,An.ReadWrite,Y.depthRangeFor3D);if(K===1&&!J.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var ne=Y.colorModeForRenderPass();ze(Y,D,J,O,de,Vi.disabled,ne)}else ze(Y,D,J,O,de,Vi.disabled,wt.disabled),ze(Y,D,J,O,de,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function ze(Y,D,J,O,K,de,ne){for(var we=Y.context,Oe=we.gl,ht=J.paint.get(\"fill-extrusion-pattern\"),Yt=ht.constantOr(1),cr=J.getCrossfadeParameters(),Nt=J.paint.get(\"fill-extrusion-opacity\"),Ne=0,$e=O;Ne<$e.length;Ne+=1){var st=$e[Ne],It=D.getTile(st),Bt=It.getBucket(J);if(Bt){var Ft=Bt.programConfigurations.get(J.id),Ut=Y.useProgram(Yt?\"fillExtrusionPattern\":\"fillExtrusion\",Ft);Yt&&(Y.context.activeTexture.set(Oe.TEXTURE0),It.imageAtlasTexture.bind(Oe.LINEAR,Oe.CLAMP_TO_EDGE),Ft.updatePaintBuffers(cr));var zt=ht.constantOr(null);if(zt&&It.imageAtlas){var _t=It.imageAtlas,Dt=_t.patternPositions[zt.to.toString()],vt=_t.patternPositions[zt.from.toString()];Dt&&vt&&Ft.setConstantPatternPositions(Dt,vt)}var lr=Y.translatePosMatrix(st.posMatrix,It,J.paint.get(\"fill-extrusion-translate\"),J.paint.get(\"fill-extrusion-translate-anchor\")),_r=J.paint.get(\"fill-extrusion-vertical-gradient\"),Br=Yt?Zu(lr,Y,_r,Nt,st,cr,It):ah(lr,Y,_r,Nt);Ut.draw(we,we.gl.TRIANGLES,K,de,ne,wr.backCCW,Br,J.id,Bt.layoutVertexBuffer,Bt.indexBuffer,Bt.segments,J.paint,Y.transform.zoom,Ft)}}}function Qe(Y,D,J,O){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var K=Y.context,de=Y.depthModeForSublayer(0,An.ReadOnly),ne=Y.colorModeForRenderPass(),we=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(O):[{},O],Oe=we[0],ht=we[1],Yt=0,cr=ht;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=D.getTile(Nt);Ne.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?nt(Y,Ne,J,de,Vi.disabled,ne):Y.renderPass===\"translucent\"&&Xe(Y,Ne,J,de,Oe[Nt.overscaledZ],ne)}K.viewport.set([0,0,Y.width,Y.height])}}function Xe(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl,Oe=D.fbo;if(Oe){var ht=Y.useProgram(\"hillshade\");ne.activeTexture.set(we.TEXTURE0),we.bindTexture(we.TEXTURE_2D,Oe.colorAttachment.get());var Yt=Ra(Y,D,J);ht.draw(ne,we.TRIANGLES,O,K,de,wr.disabled,Yt,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function nt(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl,Oe=D.dem;if(Oe&&Oe.data){var ht=Oe.dim,Yt=Oe.stride,cr=Oe.getPixels();if(ne.activeTexture.set(we.TEXTURE1),ne.pixelStoreUnpackPremultiplyAlpha.set(!1),D.demTexture=D.demTexture||Y.getTileTexture(Yt),D.demTexture){var Nt=D.demTexture;Nt.update(cr,{premultiply:!1}),Nt.bind(we.NEAREST,we.CLAMP_TO_EDGE)}else D.demTexture=new i.Texture(ne,cr,we.RGBA,{premultiply:!1}),D.demTexture.bind(we.NEAREST,we.CLAMP_TO_EDGE);ne.activeTexture.set(we.TEXTURE0);var Ne=D.fbo;if(!Ne){var $e=new i.Texture(ne,{width:ht,height:ht,data:null},we.RGBA);$e.bind(we.LINEAR,we.CLAMP_TO_EDGE),Ne=D.fbo=ne.createFramebuffer(ht,ht,!0),Ne.colorAttachment.set($e.texture)}ne.bindFramebuffer.set(Ne.framebuffer),ne.viewport.set([0,0,ht,ht]),Y.useProgram(\"hillshadePrepare\").draw(ne,we.TRIANGLES,O,K,de,wr.disabled,La(D.tileID,Oe),J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),D.needsHillshadePrepare=!1}}function qt(Y,D,J,O){if(Y.renderPass===\"translucent\"&&J.paint.get(\"raster-opacity\")!==0&&O.length)for(var K=Y.context,de=K.gl,ne=D.getSource(),we=Y.useProgram(\"raster\"),Oe=Y.colorModeForRenderPass(),ht=ne instanceof Ce?[{},O]:Y.stencilConfigForOverlap(O),Yt=ht[0],cr=ht[1],Nt=cr[cr.length-1].overscaledZ,Ne=!Y.options.moving,$e=0,st=cr;$e<st.length;$e+=1){var It=st[$e],Bt=Y.depthModeForSublayer(It.overscaledZ-Nt,J.paint.get(\"raster-opacity\")===1?An.ReadWrite:An.ReadOnly,de.LESS),Ft=D.getTile(It),Ut=Y.transform.calculatePosMatrix(It.toUnwrapped(),Ne);Ft.registerFadeDuration(J.paint.get(\"raster-fade-duration\"));var zt=D.findLoadedParent(It,0),_t=Wt(Ft,zt,D,J,Y.transform),Dt=void 0,vt=void 0,lr=J.paint.get(\"raster-resampling\")===\"nearest\"?de.NEAREST:de.LINEAR;K.activeTexture.set(de.TEXTURE0),Ft.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),K.activeTexture.set(de.TEXTURE1),zt?(zt.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),Dt=Math.pow(2,zt.tileID.overscaledZ-Ft.tileID.overscaledZ),vt=[Ft.tileID.canonical.x*Dt%1,Ft.tileID.canonical.y*Dt%1]):Ft.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST);var _r=Ls(Ut,vt||[0,0],Dt||1,_t,J);ne instanceof Ce?we.draw(K,de.TRIANGLES,Bt,Vi.disabled,Oe,wr.disabled,_r,J.id,ne.boundsBuffer,Y.quadTriangleIndexBuffer,ne.boundsSegments):we.draw(K,de.TRIANGLES,Bt,Yt[It.overscaledZ],Oe,wr.disabled,_r,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Wt(Y,D,J,O,K){var de=O.paint.get(\"raster-fade-duration\");if(de>0){var ne=i.browser.now(),we=(ne-Y.timeAdded)/de,Oe=D?(ne-D.timeAdded)/de:-1,ht=J.getSource(),Yt=K.coveringZoomLevel({tileSize:ht.tileSize,roundZoom:ht.roundZoom}),cr=!D||Math.abs(D.tileID.overscaledZ-Yt)>Math.abs(Y.tileID.overscaledZ-Yt),Nt=cr&&Y.refreshedUponExpiration?1:i.clamp(cr?we:1-Oe,0,1);return Y.refreshedUponExpiration&&we>=1&&(Y.refreshedUponExpiration=!1),D?{opacity:1,mix:1-Nt}:{opacity:Nt,mix:0}}else return{opacity:1,mix:0}}function nr(Y,D,J){var O=J.paint.get(\"background-color\"),K=J.paint.get(\"background-opacity\");if(K!==0){var de=Y.context,ne=de.gl,we=Y.transform,Oe=we.tileSize,ht=J.paint.get(\"background-pattern\");if(!Y.isPatternMissing(ht)){var Yt=!ht&&O.a===1&&K===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Yt){var cr=Vi.disabled,Nt=Y.depthModeForSublayer(0,Yt===\"opaque\"?An.ReadWrite:An.ReadOnly),Ne=Y.colorModeForRenderPass(),$e=Y.useProgram(ht?\"backgroundPattern\":\"background\"),st=we.coveringTiles({tileSize:Oe});ht&&(de.activeTexture.set(ne.TEXTURE0),Y.imageManager.bind(Y.context));for(var It=J.getCrossfadeParameters(),Bt=0,Ft=st;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=Y.transform.calculatePosMatrix(Ut.toUnwrapped()),_t=ht?Va(zt,K,Y,ht,{tileID:Ut,tileSize:Oe},It):Ac(zt,K,O);$e.draw(de,ne.TRIANGLES,Nt,cr,Ne,wr.disabled,_t,J.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var fr=new i.Color(1,0,0,1),br=new i.Color(0,1,0,1),Fr=new i.Color(0,0,1,1),Hr=new i.Color(1,0,1,1),ri=new i.Color(0,1,1,1);function Ci(Y){var D=Y.transform.padding,J=3;sn(Y,Y.transform.height-(D.top||0),J,fr),sn(Y,D.bottom||0,J,br),Ln(Y,D.left||0,J,Fr),Ln(Y,Y.transform.width-(D.right||0),J,Hr);var O=Y.transform.centerPoint;cn(Y,O.x,Y.transform.height-O.y,ri)}function cn(Y,D,J,O){var K=20,de=2;Kn(Y,D-de/2,J-K/2,de,K,O),Kn(Y,D-K/2,J-de/2,K,de,O)}function sn(Y,D,J,O){Kn(Y,0,D+J/2,Y.transform.width,J,O)}function Ln(Y,D,J,O){Kn(Y,D-J/2,0,J,Y.transform.height,O)}function Kn(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl;we.enable(we.SCISSOR_TEST),we.scissor(D*i.browser.devicePixelRatio,J*i.browser.devicePixelRatio,O*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio),ne.clear({color:de}),we.disable(we.SCISSOR_TEST)}function Aa(Y,D,J){for(var O=0;O<J.length;O++)fa(Y,D,J[O])}function fa(Y,D,J){var O=Y.context,K=O.gl,de=J.posMatrix,ne=Y.useProgram(\"debug\"),we=An.disabled,Oe=Vi.disabled,ht=Y.colorModeForRenderPass(),Yt=\"$debug\";O.activeTexture.set(K.TEXTURE0),Y.emptyTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE),ne.draw(O,K.LINE_STRIP,we,Oe,ht,wr.disabled,dn(de,i.Color.red),Yt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var cr=D.getTileByID(J.key).latestRawTileData,Nt=cr&&cr.byteLength||0,Ne=Math.floor(Nt/1024),$e=D.getTile(J).tileSize,st=512/Math.min($e,512)*(J.overscaledZ/Y.transform.zoom)*.5,It=J.canonical.toString();J.overscaledZ!==J.canonical.z&&(It+=\" => \"+J.overscaledZ);var Bt=It+\" \"+Ne+\"kb\";$a(Y,Bt),ne.draw(O,K.TRIANGLES,we,Oe,wt.alphaBlended,wr.disabled,dn(de,i.Color.transparent,st),Yt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function $a(Y,D){Y.initDebugOverlayCanvas();var J=Y.debugOverlayCanvas,O=Y.context.gl,K=Y.debugOverlayCanvas.getContext(\"2d\");K.clearRect(0,0,J.width,J.height),K.shadowColor=\"white\",K.shadowBlur=2,K.lineWidth=1.5,K.strokeStyle=\"white\",K.textBaseline=\"top\",K.font=\"bold 36px Open Sans, sans-serif\",K.fillText(D,5,5),K.strokeText(D,5,5),Y.debugOverlayTexture.update(J),Y.debugOverlayTexture.bind(O.LINEAR,O.CLAMP_TO_EDGE)}function Co(Y,D,J){var O=Y.context,K=J.implementation;if(Y.renderPass===\"offscreen\"){var de=K.prerender;de&&(Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),de.call(K,O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),O.setStencilMode(Vi.disabled);var ne=K.renderingMode===\"3d\"?new An(Y.context.gl.LEQUAL,An.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,An.ReadOnly);O.setDepthMode(ne),K.render(O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState(),O.bindFramebuffer.set(null)}}var Qa={symbol:w,circle:ut,heatmap:Mt,line:Cr,fill:ve,\"fill-extrusion\":Ie,hillshade:Qe,raster:qt,background:nr,debug:Aa,custom:Co},mo=function(D,J){this.context=new Xr(D),this.transform=J,this._tileTextures={},this.setup(),this.numSublayers=ti.maxUnderzooming+ti.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Vf,this.gpuTimers={}};mo.prototype.resize=function(D,J){if(this.width=D*i.browser.devicePixelRatio,this.height=J*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var O=0,K=this.style._order;O<K.length;O+=1){var de=K[O];this.style._layers[de].resize()}},mo.prototype.setup=function(){var D=this.context,J=new i.StructArrayLayout2i4;J.emplaceBack(0,0),J.emplaceBack(i.EXTENT,0),J.emplaceBack(0,i.EXTENT),J.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=D.createVertexBuffer(J,oc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var O=new i.StructArrayLayout2i4;O.emplaceBack(0,0),O.emplaceBack(i.EXTENT,0),O.emplaceBack(0,i.EXTENT),O.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=D.createVertexBuffer(O,oc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var K=new i.StructArrayLayout4i8;K.emplaceBack(0,0,0,0),K.emplaceBack(i.EXTENT,0,i.EXTENT,0),K.emplaceBack(0,i.EXTENT,0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=D.createVertexBuffer(K,Ee.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout2i4;de.emplaceBack(0,0),de.emplaceBack(1,0),de.emplaceBack(0,1),de.emplaceBack(1,1),this.viewportBuffer=D.createVertexBuffer(de,oc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var ne=new i.StructArrayLayout1ui2;ne.emplaceBack(0),ne.emplaceBack(1),ne.emplaceBack(3),ne.emplaceBack(2),ne.emplaceBack(0),this.tileBorderIndexBuffer=D.createIndexBuffer(ne);var we=new i.StructArrayLayout3ui6;we.emplaceBack(0,1,2),we.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=D.createIndexBuffer(we),this.emptyTexture=new i.Texture(D,{width:1,height:1,data:new Uint8Array([0,0,0,0])},D.gl.RGBA);var Oe=this.context.gl;this.stencilClearMode=new Vi({func:Oe.ALWAYS,mask:0},0,255,Oe.ZERO,Oe.ZERO,Oe.ZERO)},mo.prototype.clearStencil=function(){var D=this.context,J=D.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var O=i.create();i.ortho(O,0,this.width,this.height,0,0,1),i.scale(O,O,[J.drawingBufferWidth,J.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(D,J.TRIANGLES,An.disabled,this.stencilClearMode,wt.disabled,wr.disabled,On(O),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},mo.prototype._renderTileClippingMasks=function(D,J){if(!(this.currentStencilSource===D.source||!D.isTileClipped()||!J||!J.length)){this.currentStencilSource=D.source;var O=this.context,K=O.gl;this.nextStencilID+J.length>256&&this.clearStencil(),O.setColorMode(wt.disabled),O.setDepthMode(An.disabled);var de=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var ne=0,we=J;ne<we.length;ne+=1){var Oe=we[ne],ht=this._tileClippingMaskIDs[Oe.key]=this.nextStencilID++;de.draw(O,K.TRIANGLES,An.disabled,new Vi({func:K.ALWAYS,mask:0},ht,255,K.KEEP,K.KEEP,K.REPLACE),wt.disabled,wr.disabled,On(Oe.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},mo.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var D=this.nextStencilID++,J=this.context.gl;return new Vi({func:J.NOTEQUAL,mask:255},D,255,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilModeForClipping=function(D){var J=this.context.gl;return new Vi({func:J.EQUAL,mask:255},this._tileClippingMaskIDs[D.key],0,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilConfigForOverlap=function(D){var J,O=this.context.gl,K=D.sort(function(ht,Yt){return Yt.overscaledZ-ht.overscaledZ}),de=K[K.length-1].overscaledZ,ne=K[0].overscaledZ-de+1;if(ne>1){this.currentStencilSource=void 0,this.nextStencilID+ne>256&&this.clearStencil();for(var we={},Oe=0;Oe<ne;Oe++)we[Oe+de]=new Vi({func:O.GEQUAL,mask:255},Oe+this.nextStencilID,255,O.KEEP,O.KEEP,O.REPLACE);return this.nextStencilID+=ne,[we,K]}return[(J={},J[de]=Vi.disabled,J),K]},mo.prototype.colorModeForRenderPass=function(){var D=this.context.gl;if(this._showOverdrawInspector){var J=8,O=1/J;return new wt([D.CONSTANT_COLOR,D.ONE],new i.Color(O,O,O,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?wt.unblended:wt.alphaBlended},mo.prototype.depthModeForSublayer=function(D,J,O){if(!this.opaquePassEnabledForLayer())return An.disabled;var K=1-((1+this.currentLayer)*this.numSublayers+D)*this.depthEpsilon;return new An(O||this.context.gl.LEQUAL,J,[K,K])},mo.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},mo.prototype.render=function(D,J){var O=this;this.style=D,this.options=J,this.lineAtlas=D.lineAtlas,this.imageManager=D.imageManager,this.glyphManager=D.glyphManager,this.symbolFadeChange=D.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var K=this.style._order,de=this.style.sourceCaches;for(var ne in de){var we=de[ne];we.used&&we.prepare(this.context)}var Oe={},ht={},Yt={};for(var cr in de){var Nt=de[cr];Oe[cr]=Nt.getVisibleCoordinates(),ht[cr]=Oe[cr].slice().reverse(),Yt[cr]=Nt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var Ne=0;Ne<K.length;Ne++){var $e=K[Ne];if(this.style._layers[$e].is3D()){this.opaquePassCutoff=Ne;break}}this.renderPass=\"offscreen\";for(var st=0,It=K;st<It.length;st+=1){var Bt=It[st],Ft=this.style._layers[Bt];if(!(!Ft.hasOffscreenPass()||Ft.isHidden(this.transform.zoom))){var Ut=ht[Ft.source];Ft.type!==\"custom\"&&!Ut.length||this.renderLayer(this,de[Ft.source],Ft,Ut)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:J.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=J.showOverdrawInspector,this.depthRangeFor3D=[0,1-(D._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=K.length-1;this.currentLayer>=0;this.currentLayer--){var zt=this.style._layers[K[this.currentLayer]],_t=de[zt.source],Dt=Oe[zt.source];this._renderTileClippingMasks(zt,Dt),this.renderLayer(this,_t,zt,Dt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<K.length;this.currentLayer++){var vt=this.style._layers[K[this.currentLayer]],lr=de[vt.source],_r=(vt.type===\"symbol\"?Yt:ht)[vt.source];this._renderTileClippingMasks(vt,Oe[vt.source]),this.renderLayer(this,lr,vt,_r)}if(this.options.showTileBoundaries){var Br,Di,ci=i.values(this.style._layers);ci.forEach(function(bi){bi.source&&!bi.isHidden(O.transform.zoom)&&(bi.source!==(Di&&Di.id)&&(Di=O.style.sourceCaches[bi.source]),(!Br||Br.getSource().maxzoom<Di.getSource().maxzoom)&&(Br=Di))}),Br&&Qa.debug(this,Br,Br.getVisibleCoordinates())}this.options.showPadding&&Ci(this),this.context.setDefault()},mo.prototype.renderLayer=function(D,J,O,K){O.isHidden(this.transform.zoom)||O.type!==\"background\"&&O.type!==\"custom\"&&!K.length||(this.id=O.id,this.gpuTimingStart(O),Qa[O.type](D,J,O,K,this.style.placement.variableOffsets),this.gpuTimingEnd())},mo.prototype.gpuTimingStart=function(D){if(this.options.gpuTiming){var J=this.context.extTimerQuery,O=this.gpuTimers[D.id];O||(O=this.gpuTimers[D.id]={calls:0,cpuTime:0,query:J.createQueryEXT()}),O.calls++,J.beginQueryEXT(J.TIME_ELAPSED_EXT,O.query)}},mo.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var D=this.context.extTimerQuery;D.endQueryEXT(D.TIME_ELAPSED_EXT)}},mo.prototype.collectGpuTimers=function(){var D=this.gpuTimers;return this.gpuTimers={},D},mo.prototype.queryGpuTimers=function(D){var J={};for(var O in D){var K=D[O],de=this.context.extTimerQuery,ne=de.getQueryObjectEXT(K.query,de.QUERY_RESULT_EXT)/(1e3*1e3);de.deleteQueryEXT(K.query),J[O]=ne}return J},mo.prototype.translatePosMatrix=function(D,J,O,K,de){if(!O[0]&&!O[1])return D;var ne=de?K===\"map\"?this.transform.angle:0:K===\"viewport\"?-this.transform.angle:0;if(ne){var we=Math.sin(ne),Oe=Math.cos(ne);O=[O[0]*Oe-O[1]*we,O[0]*we+O[1]*Oe]}var ht=[de?O[0]:As(J,O[0],this.transform.zoom),de?O[1]:As(J,O[1],this.transform.zoom),0],Yt=new Float32Array(16);return i.translate(Yt,D,ht),Yt},mo.prototype.saveTileTexture=function(D){var J=this._tileTextures[D.size[0]];J?J.push(D):this._tileTextures[D.size[0]]=[D]},mo.prototype.getTileTexture=function(D){var J=this._tileTextures[D];return J&&J.length>0?J.pop():null},mo.prototype.isPatternMissing=function(D){if(!D)return!1;if(!D.from||!D.to)return!0;var J=this.imageManager.getPattern(D.from.toString()),O=this.imageManager.getPattern(D.to.toString());return!J||!O},mo.prototype.useProgram=function(D,J){this.cache=this.cache||{};var O=\"\"+D+(J?J.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[O]||(this.cache[O]=new Rf(this.context,D,wf[D],J,oo[D],this._showOverdrawInspector)),this.cache[O]},mo.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},mo.prototype.setBaseState=function(){var D=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(D.FUNC_ADD)},mo.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var D=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,D.RGBA)}},mo.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Bo=function(D,J){this.points=D,this.planes=J};Bo.fromInvProjectionMatrix=function(D,J,O){var K=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],de=Math.pow(2,O),ne=K.map(function(ht){return i.transformMat4([],ht,D)}).map(function(ht){return i.scale$1([],ht,1/ht[3]/J*de)}),we=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],Oe=we.map(function(ht){var Yt=i.sub([],ne[ht[0]],ne[ht[1]]),cr=i.sub([],ne[ht[2]],ne[ht[1]]),Nt=i.normalize([],i.cross([],Yt,cr)),Ne=-i.dot(Nt,ne[ht[1]]);return Nt.concat(Ne)});return new Bo(ne,Oe)};var Ps=function(D,J){this.min=D,this.max=J,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ps.prototype.quadrant=function(D){for(var J=[D%2===0,D<2],O=i.clone$2(this.min),K=i.clone$2(this.max),de=0;de<J.length;de++)O[de]=J[de]?this.min[de]:this.center[de],K[de]=J[de]?this.center[de]:this.max[de];return K[2]=this.max[2],new Ps(O,K)},Ps.prototype.distanceX=function(D){var J=Math.max(Math.min(this.max[0],D[0]),this.min[0]);return J-D[0]},Ps.prototype.distanceY=function(D){var J=Math.max(Math.min(this.max[1],D[1]),this.min[1]);return J-D[1]},Ps.prototype.intersects=function(D){for(var J=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],O=!0,K=0;K<D.planes.length;K++){for(var de=D.planes[K],ne=0,we=0;we<J.length;we++)ne+=i.dot$1(de,J[we])>=0;if(ne===0)return 0;ne!==J.length&&(O=!1)}if(O)return 2;for(var Oe=0;Oe<3;Oe++){for(var ht=Number.MAX_VALUE,Yt=-Number.MAX_VALUE,cr=0;cr<D.points.length;cr++){var Nt=D.points[cr][Oe]-this.min[Oe];ht=Math.min(ht,Nt),Yt=Math.max(Yt,Nt)}if(Yt<0||ht>this.max[Oe]-this.min[Oe])return 0}return 1};var Ts=function(D,J,O,K){if(D===void 0&&(D=0),J===void 0&&(J=0),O===void 0&&(O=0),K===void 0&&(K=0),isNaN(D)||D<0||isNaN(J)||J<0||isNaN(O)||O<0||isNaN(K)||K<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=D,this.bottom=J,this.left=O,this.right=K};Ts.prototype.interpolate=function(D,J,O){return J.top!=null&&D.top!=null&&(this.top=i.number(D.top,J.top,O)),J.bottom!=null&&D.bottom!=null&&(this.bottom=i.number(D.bottom,J.bottom,O)),J.left!=null&&D.left!=null&&(this.left=i.number(D.left,J.left,O)),J.right!=null&&D.right!=null&&(this.right=i.number(D.right,J.right,O)),this},Ts.prototype.getCenter=function(D,J){var O=i.clamp((this.left+D-this.right)/2,0,D),K=i.clamp((this.top+J-this.bottom)/2,0,J);return new i.Point(O,K)},Ts.prototype.equals=function(D){return this.top===D.top&&this.bottom===D.bottom&&this.left===D.left&&this.right===D.right},Ts.prototype.clone=function(){return new Ts(this.top,this.bottom,this.left,this.right)},Ts.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wo=function(D,J,O,K,de){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=de===void 0?!0:de,this._minZoom=D||0,this._maxZoom=J||22,this._minPitch=O==null?0:O,this._maxPitch=K==null?60:K,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ts,this._posMatrixCache={},this._alignedPosMatrixCache={}},To={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wo.prototype.clone=function(){var D=new wo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return D.tileSize=this.tileSize,D.latRange=this.latRange,D.width=this.width,D.height=this.height,D._center=this._center,D.zoom=this.zoom,D.angle=this.angle,D._fov=this._fov,D._pitch=this._pitch,D._unmodified=this._unmodified,D._edgeInsets=this._edgeInsets.clone(),D._calcMatrices(),D},To.minZoom.get=function(){return this._minZoom},To.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},To.maxZoom.get=function(){return this._maxZoom},To.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},To.minPitch.get=function(){return this._minPitch},To.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},To.maxPitch.get=function(){return this._maxPitch},To.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},To.renderWorldCopies.get=function(){return this._renderWorldCopies},To.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},To.worldSize.get=function(){return this.tileSize*this.scale},To.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},To.size.get=function(){return new i.Point(this.width,this.height)},To.bearing.get=function(){return-this.angle/Math.PI*180},To.bearing.set=function(Y){var D=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==D&&(this._unmodified=!1,this.angle=D,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},To.pitch.get=function(){return this._pitch/Math.PI*180},To.pitch.set=function(Y){var D=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==D&&(this._unmodified=!1,this._pitch=D,this._calcMatrices())},To.fov.get=function(){return this._fov/Math.PI*180},To.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},To.zoom.get=function(){return this._zoom},To.zoom.set=function(Y){var D=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==D&&(this._unmodified=!1,this._zoom=D,this.scale=this.zoomScale(D),this.tileZoom=Math.floor(D),this.zoomFraction=D-this.tileZoom,this._constrain(),this._calcMatrices())},To.center.get=function(){return this._center},To.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},To.padding.get=function(){return this._edgeInsets.toJSON()},To.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},To.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wo.prototype.isPaddingEqual=function(D){return this._edgeInsets.equals(D)},wo.prototype.interpolatePadding=function(D,J,O){this._unmodified=!1,this._edgeInsets.interpolate(D,J,O),this._constrain(),this._calcMatrices()},wo.prototype.coveringZoomLevel=function(D){var J=(D.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/D.tileSize));return Math.max(0,J)},wo.prototype.getVisibleUnwrappedCoordinates=function(D){var J=[new i.UnwrappedTileID(0,D)];if(this._renderWorldCopies)for(var O=this.pointCoordinate(new i.Point(0,0)),K=this.pointCoordinate(new i.Point(this.width,0)),de=this.pointCoordinate(new i.Point(this.width,this.height)),ne=this.pointCoordinate(new i.Point(0,this.height)),we=Math.floor(Math.min(O.x,K.x,de.x,ne.x)),Oe=Math.floor(Math.max(O.x,K.x,de.x,ne.x)),ht=1,Yt=we-ht;Yt<=Oe+ht;Yt++)Yt!==0&&J.push(new i.UnwrappedTileID(Yt,D));return J},wo.prototype.coveringTiles=function(D){var J=this.coveringZoomLevel(D),O=J;if(D.minzoom!==void 0&&J<D.minzoom)return[];D.maxzoom!==void 0&&J>D.maxzoom&&(J=D.maxzoom);var K=i.MercatorCoordinate.fromLngLat(this.center),de=Math.pow(2,J),ne=[de*K.x,de*K.y,0],we=Bo.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,J),Oe=D.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(Oe=J);var ht=3,Yt=function(ci){return{aabb:new Ps([ci*de,0,0],[(ci+1)*de,de,0]),zoom:0,x:0,y:0,wrap:ci,fullyVisible:!1}},cr=[],Nt=[],Ne=J,$e=D.reparseOverscaled?O:J;if(this._renderWorldCopies)for(var st=1;st<=3;st++)cr.push(Yt(-st)),cr.push(Yt(st));for(cr.push(Yt(0));cr.length>0;){var It=cr.pop(),Bt=It.x,Ft=It.y,Ut=It.fullyVisible;if(!Ut){var zt=It.aabb.intersects(we);if(zt===0)continue;Ut=zt===2}var _t=It.aabb.distanceX(ne),Dt=It.aabb.distanceY(ne),vt=Math.max(Math.abs(_t),Math.abs(Dt)),lr=ht+(1<<Ne-It.zoom)-2;if(It.zoom===Ne||vt>lr&&It.zoom>=Oe){Nt.push({tileID:new i.OverscaledTileID(It.zoom===Ne?$e:It.zoom,It.wrap,It.zoom,Bt,Ft),distanceSq:i.sqrLen([ne[0]-.5-Bt,ne[1]-.5-Ft])});continue}for(var _r=0;_r<4;_r++){var Br=(Bt<<1)+_r%2,Di=(Ft<<1)+(_r>>1);cr.push({aabb:It.aabb.quadrant(_r),zoom:It.zoom+1,x:Br,y:Di,wrap:It.wrap,fullyVisible:Ut})}}return Nt.sort(function(ci,bi){return ci.distanceSq-bi.distanceSq}).map(function(ci){return ci.tileID})},wo.prototype.resize=function(D,J){this.width=D,this.height=J,this.pixelsToGLUnits=[2/D,-2/J],this._constrain(),this._calcMatrices()},To.unmodified.get=function(){return this._unmodified},wo.prototype.zoomScale=function(D){return Math.pow(2,D)},wo.prototype.scaleZoom=function(D){return Math.log(D)/Math.LN2},wo.prototype.project=function(D){var J=i.clamp(D.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(D.lng)*this.worldSize,i.mercatorYfromLat(J)*this.worldSize)},wo.prototype.unproject=function(D){return new i.MercatorCoordinate(D.x/this.worldSize,D.y/this.worldSize).toLngLat()},To.point.get=function(){return this.project(this.center)},wo.prototype.setLocationAtPoint=function(D,J){var O=this.pointCoordinate(J),K=this.pointCoordinate(this.centerPoint),de=this.locationCoordinate(D),ne=new i.MercatorCoordinate(de.x-(O.x-K.x),de.y-(O.y-K.y));this.center=this.coordinateLocation(ne),this._renderWorldCopies&&(this.center=this.center.wrap())},wo.prototype.locationPoint=function(D){return this.coordinatePoint(this.locationCoordinate(D))},wo.prototype.pointLocation=function(D){return this.coordinateLocation(this.pointCoordinate(D))},wo.prototype.locationCoordinate=function(D){return i.MercatorCoordinate.fromLngLat(D)},wo.prototype.coordinateLocation=function(D){return D.toLngLat()},wo.prototype.pointCoordinate=function(D){var J=0,O=[D.x,D.y,0,1],K=[D.x,D.y,1,1];i.transformMat4(O,O,this.pixelMatrixInverse),i.transformMat4(K,K,this.pixelMatrixInverse);var de=O[3],ne=K[3],we=O[0]/de,Oe=K[0]/ne,ht=O[1]/de,Yt=K[1]/ne,cr=O[2]/de,Nt=K[2]/ne,Ne=cr===Nt?0:(J-cr)/(Nt-cr);return new i.MercatorCoordinate(i.number(we,Oe,Ne)/this.worldSize,i.number(ht,Yt,Ne)/this.worldSize)},wo.prototype.coordinatePoint=function(D){var J=[D.x*this.worldSize,D.y*this.worldSize,0,1];return i.transformMat4(J,J,this.pixelMatrix),new i.Point(J[0]/J[3],J[1]/J[3])},wo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},wo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},wo.prototype.setMaxBounds=function(D){D?(this.lngRange=[D.getWest(),D.getEast()],this.latRange=[D.getSouth(),D.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wo.prototype.calculatePosMatrix=function(D,J){J===void 0&&(J=!1);var O=D.key,K=J?this._alignedPosMatrixCache:this._posMatrixCache;if(K[O])return K[O];var de=D.canonical,ne=this.worldSize/this.zoomScale(de.z),we=de.x+Math.pow(2,de.z)*D.wrap,Oe=i.identity(new Float64Array(16));return i.translate(Oe,Oe,[we*ne,de.y*ne,0]),i.scale(Oe,Oe,[ne/i.EXTENT,ne/i.EXTENT,1]),i.multiply(Oe,J?this.alignedProjMatrix:this.projMatrix,Oe),K[O]=new Float32Array(Oe),K[O]},wo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var D=-90,J=90,O=-180,K=180,de,ne,we,Oe,ht=this.size,Yt=this._unmodified;if(this.latRange){var cr=this.latRange;D=i.mercatorYfromLat(cr[1])*this.worldSize,J=i.mercatorYfromLat(cr[0])*this.worldSize,de=J-D<ht.y?ht.y/(J-D):0}if(this.lngRange){var Nt=this.lngRange;O=i.mercatorXfromLng(Nt[0])*this.worldSize,K=i.mercatorXfromLng(Nt[1])*this.worldSize,ne=K-O<ht.x?ht.x/(K-O):0}var Ne=this.point,$e=Math.max(ne||0,de||0);if($e){this.center=this.unproject(new i.Point(ne?(K+O)/2:Ne.x,de?(J+D)/2:Ne.y)),this.zoom+=this.scaleZoom($e),this._unmodified=Yt,this._constraining=!1;return}if(this.latRange){var st=Ne.y,It=ht.y/2;st-It<D&&(Oe=D+It),st+It>J&&(Oe=J-It)}if(this.lngRange){var Bt=Ne.x,Ft=ht.x/2;Bt-Ft<O&&(we=O+Ft),Bt+Ft>K&&(we=K-Ft)}(we!==void 0||Oe!==void 0)&&(this.center=this.unproject(new i.Point(we!==void 0?we:Ne.x,Oe!==void 0?Oe:Ne.y))),this._unmodified=Yt,this._constraining=!1}},wo.prototype._calcMatrices=function(){if(this.height){var D=this._fov/2,J=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(D)*this.height;var O=Math.PI/2+this._pitch,K=this._fov*(.5+J.y/this.height),de=Math.sin(K)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-O-K,.01,Math.PI-.01)),ne=this.point,we=ne.x,Oe=ne.y,ht=Math.cos(Math.PI/2-this._pitch)*de+this.cameraToCenterDistance,Yt=ht*1.01,cr=this.height/50,Nt=new Float64Array(16);i.perspective(Nt,this._fov,this.width/this.height,cr,Yt),Nt[8]=-J.x*2/this.width,Nt[9]=J.y*2/this.height,i.scale(Nt,Nt,[1,-1,1]),i.translate(Nt,Nt,[0,0,-this.cameraToCenterDistance]),i.rotateX(Nt,Nt,this._pitch),i.rotateZ(Nt,Nt,this.angle),i.translate(Nt,Nt,[-we,-Oe,0]),this.mercatorMatrix=i.scale([],Nt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(Nt,Nt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=Nt,this.invProjMatrix=i.invert([],this.projMatrix);var Ne=this.width%2/2,$e=this.height%2/2,st=Math.cos(this.angle),It=Math.sin(this.angle),Bt=we-Math.round(we)+st*Ne+It*$e,Ft=Oe-Math.round(Oe)+st*$e+It*Ne,Ut=new Float64Array(Nt);if(i.translate(Ut,Ut,[Bt>.5?Bt-1:Bt,Ft>.5?Ft-1:Ft,0]),this.alignedProjMatrix=Ut,Nt=i.create(),i.scale(Nt,Nt,[this.width/2,-this.height/2,1]),i.translate(Nt,Nt,[1,-1,0]),this.labelPlaneMatrix=Nt,Nt=i.create(),i.scale(Nt,Nt,[1,-1,1]),i.translate(Nt,Nt,[-1,-1,0]),i.scale(Nt,Nt,[2/this.width,2/this.height,1]),this.glCoordMatrix=Nt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),Nt=i.invert(new Float64Array(16),this.pixelMatrix),!Nt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Nt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var D=this.pointCoordinate(new i.Point(0,0)),J=[D.x*this.worldSize,D.y*this.worldSize,0,1],O=i.transformMat4(J,J,this.pixelMatrix);return O[3]/this.cameraToCenterDistance},wo.prototype.getCameraPoint=function(){var D=this._pitch,J=Math.tan(D)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,J))},wo.prototype.getCameraQueryGeometry=function(D){var J=this.getCameraPoint();if(D.length===1)return[D[0],J];for(var O=J.x,K=J.y,de=J.x,ne=J.y,we=0,Oe=D;we<Oe.length;we+=1){var ht=Oe[we];O=Math.min(O,ht.x),K=Math.min(K,ht.y),de=Math.max(de,ht.x),ne=Math.max(ne,ht.y)}return[new i.Point(O,K),new i.Point(de,K),new i.Point(de,ne),new i.Point(O,ne),new i.Point(O,K)]},Object.defineProperties(wo.prototype,To);function hl(Y,D){var J=!1,O=null,K=function(){O=null,J&&(Y(),O=setTimeout(K,D),J=!1)};return function(){return J=!0,O||K(),O}}var Nl=function(D){this._hashName=D&&encodeURIComponent(D),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=hl(this._updateHashUnthrottled.bind(this),30*1e3/100)};Nl.prototype.addTo=function(D){return this._map=D,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Nl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Nl.prototype.getHashString=function(D){var J=this._map.getCenter(),O=Math.round(this._map.getZoom()*100)/100,K=Math.ceil((O*Math.LN2+Math.log(512/360/.5))/Math.LN10),de=Math.pow(10,K),ne=Math.round(J.lng*de)/de,we=Math.round(J.lat*de)/de,Oe=this._map.getBearing(),ht=this._map.getPitch(),Yt=\"\";if(D?Yt+=\"/\"+ne+\"/\"+we+\"/\"+O:Yt+=O+\"/\"+we+\"/\"+ne,(Oe||ht)&&(Yt+=\"/\"+Math.round(Oe*10)/10),ht&&(Yt+=\"/\"+Math.round(ht)),this._hashName){var cr=this._hashName,Nt=!1,Ne=i.window.location.hash.slice(1).split(\"&\").map(function($e){var st=$e.split(\"=\")[0];return st===cr?(Nt=!0,st+\"=\"+Yt):$e}).filter(function($e){return $e});return Nt||Ne.push(cr+\"=\"+Yt),\"#\"+Ne.join(\"&\")}return\"#\"+Yt},Nl.prototype._getCurrentHash=function(){var D=this,J=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var O;return J.split(\"&\").map(function(K){return K.split(\"=\")}).forEach(function(K){K[0]===D._hashName&&(O=K)}),(O&&O[1]||\"\").split(\"/\")}return J.split(\"/\")},Nl.prototype._onHashChange=function(){var D=this._getCurrentHash();if(D.length>=3&&!D.some(function(O){return isNaN(O)})){var J=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(D[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+D[2],+D[1]],zoom:+D[0],bearing:J,pitch:+(D[4]||0)}),!0}return!1},Nl.prototype._updateHashUnthrottled=function(){var D=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,D)}catch(J){}};var Lu={linearity:.3,easing:i.bezier(0,0,.3,1)},au=i.extend({deceleration:2500,maxSpeed:1400},Lu),Js=i.extend({deceleration:20,maxSpeed:1400},Lu),eu=i.extend({deceleration:1e3,maxSpeed:360},Lu),dc=i.extend({deceleration:1e3,maxSpeed:90},Lu),Al=function(D){this._map=D,this.clear()};Al.prototype.clear=function(){this._inertiaBuffer=[]},Al.prototype.record=function(D){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:D})},Al.prototype._drainInertiaBuffer=function(){for(var D=this._inertiaBuffer,J=i.browser.now(),O=160;D.length>0&&J-D[0].time>O;)D.shift()},Al.prototype._onMoveEnd=function(D){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var J={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},O=0,K=this._inertiaBuffer;O<K.length;O+=1){var de=K[O],ne=de.settings;J.zoom+=ne.zoomDelta||0,J.bearing+=ne.bearingDelta||0,J.pitch+=ne.pitchDelta||0,ne.panDelta&&J.pan._add(ne.panDelta),ne.around&&(J.around=ne.around),ne.pinchAround&&(J.pinchAround=ne.pinchAround)}var we=this._inertiaBuffer[this._inertiaBuffer.length-1],Oe=we.time-this._inertiaBuffer[0].time,ht={};if(J.pan.mag()){var Yt=X(J.pan.mag(),Oe,i.extend({},au,D||{}));ht.offset=J.pan.mult(Yt.amount/J.pan.mag()),ht.center=this._map.transform.center,Sl(ht,Yt)}if(J.zoom){var cr=X(J.zoom,Oe,Js);ht.zoom=this._map.transform.zoom+cr.amount,Sl(ht,cr)}if(J.bearing){var Nt=X(J.bearing,Oe,eu);ht.bearing=this._map.transform.bearing+i.clamp(Nt.amount,-179,179),Sl(ht,Nt)}if(J.pitch){var Ne=X(J.pitch,Oe,dc);ht.pitch=this._map.transform.pitch+Ne.amount,Sl(ht,Ne)}if(ht.zoom||ht.bearing){var $e=J.pinchAround===void 0?J.around:J.pinchAround;ht.around=$e?this._map.unproject($e):this._map.getCenter()}return this.clear(),i.extend(ht,{noMoveStart:!0})}};function Sl(Y,D){(!Y.duration||Y.duration<D.duration)&&(Y.duration=D.duration,Y.easing=D.easing)}function X(Y,D,J){var O=J.maxSpeed,K=J.linearity,de=J.deceleration,ne=i.clamp(Y*K/(D/1e3),-O,O),we=Math.abs(ne)/(de*K);return{easing:J.easing,duration:we*1e3,amount:ne*(we/2)}}var se=(function(Y){function D(O,K,de,ne){ne===void 0&&(ne={});var we=o.mousePos(K.getCanvasContainer(),de),Oe=K.unproject(we);Y.call(this,O,i.extend({point:we,lngLat:Oe,originalEvent:de},ne)),this._defaultPrevented=!1,this.target=K}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),Te=(function(Y){function D(O,K,de){var ne=O===\"touchend\"?de.changedTouches:de.touches,we=o.touchPos(K.getCanvasContainer(),ne),Oe=we.map(function(cr){return K.unproject(cr)}),ht=we.reduce(function(cr,Nt,Ne,$e){return cr.add(Nt.div($e.length))},new i.Point(0,0)),Yt=K.unproject(ht);Y.call(this,O,{points:we,point:ht,lngLats:Oe,lngLat:Yt,originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),qe=(function(Y){function D(O,K,de){Y.call(this,O,{originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),Ve=function(D,J){this._map=D,this._clickTolerance=J.clickTolerance};Ve.prototype.reset=function(){delete this._mousedownPos},Ve.prototype.wheel=function(D){return this._firePreventable(new qe(D.type,this._map,D))},Ve.prototype.mousedown=function(D,J){return this._mousedownPos=J,this._firePreventable(new se(D.type,this._map,D))},Ve.prototype.mouseup=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.click=function(D,J){this._mousedownPos&&this._mousedownPos.dist(J)>=this._clickTolerance||this._map.fire(new se(D.type,this._map,D))},Ve.prototype.dblclick=function(D){return this._firePreventable(new se(D.type,this._map,D))},Ve.prototype.mouseover=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.mouseout=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.touchstart=function(D){return this._firePreventable(new Te(D.type,this._map,D))},Ve.prototype.touchmove=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype.touchend=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype.touchcancel=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype._firePreventable=function(D){if(this._map.fire(D),D.defaultPrevented)return{}},Ve.prototype.isEnabled=function(){return!0},Ve.prototype.isActive=function(){return!1},Ve.prototype.enable=function(){},Ve.prototype.disable=function(){};var Ye=function(D){this._map=D};Ye.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Ye.prototype.mousemove=function(D){this._map.fire(new se(D.type,this._map,D))},Ye.prototype.mousedown=function(){this._delayContextMenu=!0},Ye.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new se(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Ye.prototype.contextmenu=function(D){this._delayContextMenu?this._contextMenuEvent=D:this._map.fire(new se(D.type,this._map,D)),this._map.listens(\"contextmenu\")&&D.preventDefault()},Ye.prototype.isEnabled=function(){return!0},Ye.prototype.isActive=function(){return!1},Ye.prototype.enable=function(){},Ye.prototype.disable=function(){};var Pt=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._container=D.getContainer(),this._clickTolerance=J.clickTolerance||1};Pt.prototype.isEnabled=function(){return!!this._enabled},Pt.prototype.isActive=function(){return!!this._active},Pt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Pt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Pt.prototype.mousedown=function(D,J){this.isEnabled()&&D.shiftKey&&D.button===0&&(o.disableDrag(),this._startPos=this._lastPos=J,this._active=!0)},Pt.prototype.mousemoveWindow=function(D,J){if(this._active){var O=J;if(!(this._lastPos.equals(O)||!this._box&&O.dist(this._startPos)<this._clickTolerance)){var K=this._startPos;this._lastPos=O,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",D));var de=Math.min(K.x,O.x),ne=Math.max(K.x,O.x),we=Math.min(K.y,O.y),Oe=Math.max(K.y,O.y);o.setTransform(this._box,\"translate(\"+de+\"px,\"+we+\"px)\"),this._box.style.width=ne-de+\"px\",this._box.style.height=Oe-we+\"px\"}}},Pt.prototype.mouseupWindow=function(D,J){var O=this;if(this._active&&D.button===0){var K=this._startPos,de=J;if(this.reset(),o.suppressClick(),K.x===de.x&&K.y===de.y)this._fireEvent(\"boxzoomcancel\",D);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:D})),{cameraAnimation:function(ne){return ne.fitScreenCoordinates(K,de,O._map.getBearing(),{linear:!0})}}}},Pt.prototype.keydown=function(D){this._active&&D.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",D))},Pt.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},Pt.prototype._fireEvent=function(D,J){return this._map.fire(new i.Event(D,{originalEvent:J}))};function ot(Y,D){for(var J={},O=0;O<Y.length;O++)J[Y[O].identifier]=D[O];return J}function Xt(Y){for(var D=new i.Point(0,0),J=0,O=Y;J<O.length;J+=1){var K=O[J];D._add(K)}return D.div(Y.length)}var dr=500,pr=500,Ur=30,zr=function(D){this.reset(),this.numTouches=D.numTouches};zr.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},zr.prototype.touchstart=function(D,J,O){(this.centroid||O.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=D.timeStamp),O.length===this.numTouches&&(this.centroid=Xt(J),this.touches=ot(O,J)))},zr.prototype.touchmove=function(D,J,O){if(!(this.aborted||!this.centroid)){var K=ot(O,J);for(var de in this.touches){var ne=this.touches[de],we=K[de];(!we||we.dist(ne)>Ur)&&(this.aborted=!0)}}},zr.prototype.touchend=function(D,J,O){if((!this.centroid||D.timeStamp-this.startTime>pr)&&(this.aborted=!0),O.length===0){var K=!this.aborted&&this.centroid;if(this.reset(),K)return K}};var gi=function(D){this.singleTap=new zr(D),this.numTaps=D.numTaps,this.reset()};gi.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},gi.prototype.touchstart=function(D,J,O){this.singleTap.touchstart(D,J,O)},gi.prototype.touchmove=function(D,J,O){this.singleTap.touchmove(D,J,O)},gi.prototype.touchend=function(D,J,O){var K=this.singleTap.touchend(D,J,O);if(K){var de=D.timeStamp-this.lastTime<dr,ne=!this.lastTap||this.lastTap.dist(K)<Ur;if((!de||!ne)&&this.reset(),this.count++,this.lastTime=D.timeStamp,this.lastTap=K,this.count===this.numTaps)return this.reset(),K}};var xi=function(){this._zoomIn=new gi({numTouches:1,numTaps:2}),this._zoomOut=new gi({numTouches:2,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},xi.prototype.touchstart=function(D,J,O){this._zoomIn.touchstart(D,J,O),this._zoomOut.touchstart(D,J,O)},xi.prototype.touchmove=function(D,J,O){this._zoomIn.touchmove(D,J,O),this._zoomOut.touchmove(D,J,O)},xi.prototype.touchend=function(D,J,O){var K=this,de=this._zoomIn.touchend(D,J,O),ne=this._zoomOut.touchend(D,J,O);if(de)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()+1,around:we.unproject(de)},{originalEvent:D})}};if(ne)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()-1,around:we.unproject(ne)},{originalEvent:D})}}},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var Wr=0,ii=2,di={};di[Wr]=1,di[ii]=2;function Li(Y,D){var J=di[D];return Y.buttons===void 0||(Y.buttons&J)!==J}var Ti=function(D){this.reset(),this._clickTolerance=D.clickTolerance||1};Ti.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Ti.prototype._correctButton=function(D,J){return!1},Ti.prototype._move=function(D,J){return{}},Ti.prototype.mousedown=function(D,J){if(!this._lastPoint){var O=o.mouseButton(D);this._correctButton(D,O)&&(this._lastPoint=J,this._eventButton=O)}},Ti.prototype.mousemoveWindow=function(D,J){var O=this._lastPoint;if(O){if(D.preventDefault(),Li(D,this._eventButton)){this.reset();return}if(!(!this._moved&&J.dist(O)<this._clickTolerance))return this._moved=!0,this._lastPoint=J,this._move(O,J)}},Ti.prototype.mouseupWindow=function(D){if(this._lastPoint){var J=o.mouseButton(D);J===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},Ti.prototype.enable=function(){this._enabled=!0},Ti.prototype.disable=function(){this._enabled=!1,this.reset()},Ti.prototype.isEnabled=function(){return this._enabled},Ti.prototype.isActive=function(){return this._active};var Qr=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.mousedown=function(O,K){Y.prototype.mousedown.call(this,O,K),this._lastPoint&&(this._active=!0)},D.prototype._correctButton=function(O,K){return K===Wr&&!O.ctrlKey},D.prototype._move=function(O,K){return{around:K,panDelta:K.sub(O)}},D})(Ti),Pn=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(O,K){return K===Wr&&O.ctrlKey||K===ii},D.prototype._move=function(O,K){var de=.8,ne=(K.x-O.x)*de;if(ne)return this._active=!0,{bearingDelta:ne}},D.prototype.contextmenu=function(O){O.preventDefault()},D})(Ti),kn=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(O,K){return K===Wr&&O.ctrlKey||K===ii},D.prototype._move=function(O,K){var de=-.5,ne=(K.y-O.y)*de;if(ne)return this._active=!0,{pitchDelta:ne}},D.prototype.contextmenu=function(O){O.preventDefault()},D})(Ti),Bn=function(D){this._minTouches=1,this._clickTolerance=D.clickTolerance||1,this.reset()};Bn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},Bn.prototype.touchstart=function(D,J,O){return this._calculateTransform(D,J,O)},Bn.prototype.touchmove=function(D,J,O){if(!(!this._active||O.length<this._minTouches))return D.preventDefault(),this._calculateTransform(D,J,O)},Bn.prototype.touchend=function(D,J,O){this._calculateTransform(D,J,O),this._active&&O.length<this._minTouches&&this.reset()},Bn.prototype.touchcancel=function(){this.reset()},Bn.prototype._calculateTransform=function(D,J,O){O.length>0&&(this._active=!0);var K=ot(O,J),de=new i.Point(0,0),ne=new i.Point(0,0),we=0;for(var Oe in K){var ht=K[Oe],Yt=this._touches[Oe];Yt&&(de._add(ht),ne._add(ht.sub(Yt)),we++,K[Oe]=ht)}if(this._touches=K,!(we<this._minTouches||!ne.mag())){var cr=ne.div(we);if(this._sum._add(cr),!(this._sum.mag()<this._clickTolerance)){var Nt=de.div(we);return{around:Nt,panDelta:cr}}}},Bn.prototype.enable=function(){this._enabled=!0},Bn.prototype.disable=function(){this._enabled=!1,this.reset()},Bn.prototype.isEnabled=function(){return this._enabled},Bn.prototype.isActive=function(){return this._active};var na=function(){this.reset()};na.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},na.prototype._start=function(D){},na.prototype._move=function(D,J,O){return{}},na.prototype.touchstart=function(D,J,O){this._firstTwoTouches||O.length<2||(this._firstTwoTouches=[O[0].identifier,O[1].identifier],this._start([J[0],J[1]]))},na.prototype.touchmove=function(D,J,O){if(this._firstTwoTouches){D.preventDefault();var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(O,J,de),Oe=Ea(O,J,ne);if(!(!we||!Oe)){var ht=this._aroundCenter?null:we.add(Oe).div(2);return this._move([we,Oe],ht,D)}}},na.prototype.touchend=function(D,J,O){if(this._firstTwoTouches){var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(O,J,de),Oe=Ea(O,J,ne);we&&Oe||(this._active&&o.suppressClick(),this.reset())}},na.prototype.touchcancel=function(){this.reset()},na.prototype.enable=function(D){this._enabled=!0,this._aroundCenter=!!D&&D.around===\"center\"},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};function Ea(Y,D,J){for(var O=0;O<Y.length;O++)if(Y[O].identifier===J)return D[O]}var Ia=.1;function yo(Y,D){return Math.log(Y/D)/Math.LN2}var Da=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},D.prototype._start=function(O){this._startDistance=this._distance=O[0].dist(O[1])},D.prototype._move=function(O,K){var de=this._distance;if(this._distance=O[0].dist(O[1]),!(!this._active&&Math.abs(yo(this._distance,this._startDistance))<Ia))return this._active=!0,{zoomDelta:yo(this._distance,de),pinchAround:K}},D})(na),go=25;function Is(Y,D){return Y.angleWith(D)*180/Math.PI}var Ms=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},D.prototype._start=function(O){this._startVector=this._vector=O[0].sub(O[1]),this._minDiameter=O[0].dist(O[1])},D.prototype._move=function(O,K){var de=this._vector;if(this._vector=O[0].sub(O[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Is(this._vector,de),pinchAround:K}},D.prototype._isBelowThreshold=function(O){this._minDiameter=Math.min(this._minDiameter,O.mag());var K=Math.PI*this._minDiameter,de=go/K*360,ne=Is(O,this._startVector);return Math.abs(ne)<de},D})(na);function Xs(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var Un=100,ja=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},D.prototype._start=function(O){this._lastPoints=O,Xs(O[0].sub(O[1]))&&(this._valid=!1)},D.prototype._move=function(O,K,de){var ne=O[0].sub(this._lastPoints[0]),we=O[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(ne,we,de.timeStamp),!!this._valid){this._lastPoints=O,this._active=!0;var Oe=(ne.y+we.y)/2,ht=-.5;return{pitchDelta:Oe*ht}}},D.prototype.gestureBeginsVertically=function(O,K,de){if(this._valid!==void 0)return this._valid;var ne=2,we=O.mag()>=ne,Oe=K.mag()>=ne;if(!(!we&&!Oe)){if(!we||!Oe)return this._firstMove===void 0&&(this._firstMove=de),de-this._firstMove<Un?void 0:!1;var ht=O.y>0==K.y>0;return Xs(O)&&Xs(K)&&ht}},D})(na),Fo={panStep:100,bearingStep:15,pitchStep:10},Uo=function(){var D=Fo;this._panStep=D.panStep,this._bearingStep=D.bearingStep,this._pitchStep=D.pitchStep,this._rotationDisabled=!1};Uo.prototype.reset=function(){this._active=!1},Uo.prototype.keydown=function(D){var J=this;if(!(D.altKey||D.ctrlKey||D.metaKey)){var O=0,K=0,de=0,ne=0,we=0;switch(D.keyCode){case 61:case 107:case 171:case 187:O=1;break;case 189:case 109:case 173:O=-1;break;case 37:D.shiftKey?K=-1:(D.preventDefault(),ne=-1);break;case 39:D.shiftKey?K=1:(D.preventDefault(),ne=1);break;case 38:D.shiftKey?de=1:(D.preventDefault(),we=-1);break;case 40:D.shiftKey?de=-1:(D.preventDefault(),we=1);break;default:return}return this._rotationDisabled&&(K=0,de=0),{cameraAnimation:function(Oe){var ht=Oe.getZoom();Oe.easeTo({duration:300,easeId:\"keyboardHandler\",easing:$s,zoom:O?Math.round(ht)+O*(D.shiftKey?2:1):ht,bearing:Oe.getBearing()+K*J._bearingStep,pitch:Oe.getPitch()+de*J._pitchStep,offset:[-ne*J._panStep,-we*J._panStep],center:Oe.getCenter()},{originalEvent:D})}}}},Uo.prototype.enable=function(){this._enabled=!0},Uo.prototype.disable=function(){this._enabled=!1,this.reset()},Uo.prototype.isEnabled=function(){return this._enabled},Uo.prototype.isActive=function(){return this._active},Uo.prototype.disableRotation=function(){this._rotationDisabled=!0},Uo.prototype.enableRotation=function(){this._rotationDisabled=!1};function $s(Y){return Y*(2-Y)}var Ml=4.000244140625,bu=1/100,dl=1/450,Sc=2,Me=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._handler=J,this._delta=0,this._defaultZoomRate=bu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};Me.prototype.setZoomRate=function(D){this._defaultZoomRate=D},Me.prototype.setWheelZoomRate=function(D){this._wheelZoomRate=D},Me.prototype.isEnabled=function(){return!!this._enabled},Me.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},Me.prototype.isZooming=function(){return!!this._zooming},Me.prototype.enable=function(D){this.isEnabled()||(this._enabled=!0,this._aroundCenter=D&&D.around===\"center\")},Me.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Me.prototype.wheel=function(D){if(this.isEnabled()){var J=D.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?D.deltaY*40:D.deltaY,O=i.browser.now(),K=O-(this._lastWheelEventTime||0);this._lastWheelEventTime=O,J!==0&&J%Ml===0?this._type=\"wheel\":J!==0&&Math.abs(J)<4?this._type=\"trackpad\":K>400?(this._type=null,this._lastValue=J,this._timeout=setTimeout(this._onTimeout,40,D)):this._type||(this._type=Math.abs(K*J)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,J+=this._lastValue)),D.shiftKey&&J&&(J=J/4),this._type&&(this._lastWheelEvent=D,this._delta-=J,this._active||this._start(D)),D.preventDefault()}},Me.prototype._onTimeout=function(D){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(D)},Me.prototype._start=function(D){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var J=o.mousePos(this._el,D);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(J)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},Me.prototype.renderFrame=function(){var D=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var J=this._map.transform;if(this._delta!==0){var O=this._type===\"wheel\"&&Math.abs(this._delta)>Ml?this._wheelZoomRate:this._defaultZoomRate,K=Sc/(1+Math.exp(-Math.abs(this._delta*O)));this._delta<0&&K!==0&&(K=1/K);var de=typeof this._targetZoom==\"number\"?J.zoomScale(this._targetZoom):J.scale;this._targetZoom=Math.min(J.maxZoom,Math.max(J.minZoom,J.scaleZoom(de*K))),this._type===\"wheel\"&&(this._startZoom=J.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var ne=typeof this._targetZoom==\"number\"?this._targetZoom:J.zoom,we=this._startZoom,Oe=this._easing,ht=!1,Yt;if(this._type===\"wheel\"&&we&&Oe){var cr=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),Nt=Oe(cr);Yt=i.number(we,ne,Nt),cr<1?this._frameId||(this._frameId=!0):ht=!0}else Yt=ne,ht=!0;return this._active=!0,ht&&(this._active=!1,this._finishTimeout=setTimeout(function(){D._zooming=!1,D._handler._triggerRenderFrame(),delete D._targetZoom,delete D._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!ht,zoomDelta:Yt-J.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},Me.prototype._smoothOutEasing=function(D){var J=i.ease;if(this._prevEase){var O=this._prevEase,K=(i.browser.now()-O.start)/O.duration,de=O.easing(K+.01)-O.easing(K),ne=.27/Math.sqrt(de*de+1e-4)*.01,we=Math.sqrt(.27*.27-ne*ne);J=i.bezier(ne,we,.25,1)}return this._prevEase={start:i.browser.now(),duration:D,easing:J},J},Me.prototype.reset=function(){this._active=!1};var bt=function(D,J){this._clickZoom=D,this._tapZoom=J};bt.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},bt.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},bt.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},bt.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var Ot=function(){this.reset()};Ot.prototype.reset=function(){this._active=!1},Ot.prototype.dblclick=function(D,J){return D.preventDefault(),{cameraAnimation:function(O){O.easeTo({duration:300,zoom:O.getZoom()+(D.shiftKey?-1:1),around:O.unproject(J)},{originalEvent:D})}}},Ot.prototype.enable=function(){this._enabled=!0},Ot.prototype.disable=function(){this._enabled=!1,this.reset()},Ot.prototype.isEnabled=function(){return this._enabled},Ot.prototype.isActive=function(){return this._active};var Lr=function(){this._tap=new gi({numTouches:1,numTaps:1}),this.reset()};Lr.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},Lr.prototype.touchstart=function(D,J,O){this._swipePoint||(this._tapTime&&D.timeStamp-this._tapTime>dr&&this.reset(),this._tapTime?O.length>0&&(this._swipePoint=J[0],this._swipeTouch=O[0].identifier):this._tap.touchstart(D,J,O))},Lr.prototype.touchmove=function(D,J,O){if(!this._tapTime)this._tap.touchmove(D,J,O);else if(this._swipePoint){if(O[0].identifier!==this._swipeTouch)return;var K=J[0],de=K.y-this._swipePoint.y;return this._swipePoint=K,D.preventDefault(),this._active=!0,{zoomDelta:de/128}}},Lr.prototype.touchend=function(D,J,O){if(this._tapTime)this._swipePoint&&O.length===0&&this.reset();else{var K=this._tap.touchend(D,J,O);K&&(this._tapTime=D.timeStamp)}},Lr.prototype.touchcancel=function(){this.reset()},Lr.prototype.enable=function(){this._enabled=!0},Lr.prototype.disable=function(){this._enabled=!1,this.reset()},Lr.prototype.isEnabled=function(){return this._enabled},Lr.prototype.isActive=function(){return this._active};var Vr=function(D,J,O){this._el=D,this._mousePan=J,this._touchPan=O};Vr.prototype.enable=function(D){this._inertiaOptions=D||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Vr.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Vr.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Vr.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Or=function(D,J,O){this._pitchWithRotate=D.pitchWithRotate,this._mouseRotate=J,this._mousePitch=O};Or.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Or.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Or.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Or.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Nr=function(D,J,O,K){this._el=D,this._touchZoom=J,this._touchRotate=O,this._tapDragZoom=K,this._rotationDisabled=!1,this._enabled=!0};Nr.prototype.enable=function(D){this._touchZoom.enable(D),this._rotationDisabled||this._touchRotate.enable(D),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Nr.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Nr.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Nr.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Nr.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Nr.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var vi=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},Ni=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D})(i.Event);function qi(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var Si=function(D,J){this._map=D,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Al(D),this._bearingSnap=J.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(J),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var O=this._el;this._listeners=[[O,\"touchstart\",{passive:!0}],[O,\"touchmove\",{passive:!1}],[O,\"touchend\",void 0],[O,\"touchcancel\",void 0],[O,\"mousedown\",void 0],[O,\"mousemove\",void 0],[O,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[O,\"mouseover\",void 0],[O,\"mouseout\",void 0],[O,\"dblclick\",void 0],[O,\"click\",void 0],[O,\"keydown\",{capture:!1}],[O,\"keyup\",void 0],[O,\"wheel\",{passive:!1}],[O,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var K=0,de=this._listeners;K<de.length;K+=1){var ne=de[K],we=ne[0],Oe=ne[1],ht=ne[2];o.addEventListener(we,Oe,we===i.window.document?this.handleWindowEvent:this.handleEvent,ht)}};Si.prototype.destroy=function(){for(var D=0,J=this._listeners;D<J.length;D+=1){var O=J[D],K=O[0],de=O[1],ne=O[2];o.removeEventListener(K,de,K===i.window.document?this.handleWindowEvent:this.handleEvent,ne)}},Si.prototype._addDefaultHandlers=function(D){var J=this._map,O=J.getCanvasContainer();this._add(\"mapEvent\",new Ve(J,D));var K=J.boxZoom=new Pt(J,D);this._add(\"boxZoom\",K);var de=new xi,ne=new Ot;J.doubleClickZoom=new bt(ne,de),this._add(\"tapZoom\",de),this._add(\"clickZoom\",ne);var we=new Lr;this._add(\"tapDragZoom\",we);var Oe=J.touchPitch=new ja;this._add(\"touchPitch\",Oe);var ht=new Pn(D),Yt=new kn(D);J.dragRotate=new Or(D,ht,Yt),this._add(\"mouseRotate\",ht,[\"mousePitch\"]),this._add(\"mousePitch\",Yt,[\"mouseRotate\"]);var cr=new Qr(D),Nt=new Bn(D);J.dragPan=new Vr(O,cr,Nt),this._add(\"mousePan\",cr),this._add(\"touchPan\",Nt,[\"touchZoom\",\"touchRotate\"]);var Ne=new Ms,$e=new Da;J.touchZoomRotate=new Nr(O,$e,Ne,we),this._add(\"touchRotate\",Ne,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",$e,[\"touchPan\",\"touchRotate\"]);var st=J.scrollZoom=new Me(J,this);this._add(\"scrollZoom\",st,[\"mousePan\"]);var It=J.keyboard=new Uo;this._add(\"keyboard\",It),this._add(\"blockableMapEvent\",new Ye(J));for(var Bt=0,Ft=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];Bt<Ft.length;Bt+=1){var Ut=Ft[Bt];D.interactive&&D[Ut]&&J[Ut].enable(D[Ut])}},Si.prototype._add=function(D,J,O){this._handlers.push({handlerName:D,handler:J,allowed:O}),this._handlersById[D]=J},Si.prototype.stop=function(D){if(!this._updatingCamera){for(var J=0,O=this._handlers;J<O.length;J+=1){var K=O[J],de=K.handler;de.reset()}this._inertia.clear(),this._fireEvents({},{},D),this._changes=[]}},Si.prototype.isActive=function(){for(var D=0,J=this._handlers;D<J.length;D+=1){var O=J[D],K=O.handler;if(K.isActive())return!0}return!1},Si.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Si.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Si.prototype.isMoving=function(){return!!vi(this._eventsInProgress)||this.isZooming()},Si.prototype._blockedByActive=function(D,J,O){for(var K in D)if(K!==O&&(!J||J.indexOf(K)<0))return!0;return!1},Si.prototype.handleWindowEvent=function(D){this.handleEvent(D,D.type+\"Window\")},Si.prototype._getMapTouches=function(D){for(var J=[],O=0,K=D;O<K.length;O+=1){var de=K[O],ne=de.target;this._el.contains(ne)&&J.push(de)}return J},Si.prototype.handleEvent=function(D,J){if(D.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var O=D.type===\"renderFrame\"?void 0:D,K={needsRenderFrame:!1},de={},ne={},we=D.touches?this._getMapTouches(D.touches):void 0,Oe=we?o.touchPos(this._el,we):o.mousePos(this._el,D),ht=0,Yt=this._handlers;ht<Yt.length;ht+=1){var cr=Yt[ht],Nt=cr.handlerName,Ne=cr.handler,$e=cr.allowed;if(Ne.isEnabled()){var st=void 0;this._blockedByActive(ne,$e,Nt)?Ne.reset():Ne[J||D.type]&&(st=Ne[J||D.type](D,Oe,we),this.mergeHandlerResult(K,de,st,Nt,O),st&&st.needsRenderFrame&&this._triggerRenderFrame()),(st||Ne.isActive())&&(ne[Nt]=Ne)}}var It={};for(var Bt in this._previousActiveHandlers)ne[Bt]||(It[Bt]=O);this._previousActiveHandlers=ne,(Object.keys(It).length||qi(K))&&(this._changes.push([K,de,It]),this._triggerRenderFrame()),(Object.keys(ne).length||qi(K))&&this._map._stop(!0),this._updatingCamera=!1;var Ft=K.cameraAnimation;Ft&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],Ft(this._map))},Si.prototype.mergeHandlerResult=function(D,J,O,K,de){if(O){i.extend(D,O);var ne={handlerName:K,originalEvent:O.originalEvent||de};O.zoomDelta!==void 0&&(J.zoom=ne),O.panDelta!==void 0&&(J.drag=ne),O.pitchDelta!==void 0&&(J.pitch=ne),O.bearingDelta!==void 0&&(J.rotate=ne)}},Si.prototype._applyChanges=function(){for(var D={},J={},O={},K=0,de=this._changes;K<de.length;K+=1){var ne=de[K],we=ne[0],Oe=ne[1],ht=ne[2];we.panDelta&&(D.panDelta=(D.panDelta||new i.Point(0,0))._add(we.panDelta)),we.zoomDelta&&(D.zoomDelta=(D.zoomDelta||0)+we.zoomDelta),we.bearingDelta&&(D.bearingDelta=(D.bearingDelta||0)+we.bearingDelta),we.pitchDelta&&(D.pitchDelta=(D.pitchDelta||0)+we.pitchDelta),we.around!==void 0&&(D.around=we.around),we.pinchAround!==void 0&&(D.pinchAround=we.pinchAround),we.noInertia&&(D.noInertia=we.noInertia),i.extend(J,Oe),i.extend(O,ht)}this._updateMapTransform(D,J,O),this._changes=[]},Si.prototype._updateMapTransform=function(D,J,O){var K=this._map,de=K.transform;if(!qi(D))return this._fireEvents(J,O,!0);var ne=D.panDelta,we=D.zoomDelta,Oe=D.bearingDelta,ht=D.pitchDelta,Yt=D.around,cr=D.pinchAround;cr!==void 0&&(Yt=cr),K._stop(!0),Yt=Yt||K.transform.centerPoint;var Nt=de.pointLocation(ne?Yt.sub(ne):Yt);Oe&&(de.bearing+=Oe),ht&&(de.pitch+=ht),we&&(de.zoom+=we),de.setLocationAtPoint(Nt,Yt),this._map._update(),D.noInertia||this._inertia.record(D),this._fireEvents(J,O,!0)},Si.prototype._fireEvents=function(D,J,O){var K=this,de=vi(this._eventsInProgress),ne=vi(D),we={};for(var Oe in D){var ht=D[Oe],Yt=ht.originalEvent;this._eventsInProgress[Oe]||(we[Oe+\"start\"]=Yt),this._eventsInProgress[Oe]=D[Oe]}!de&&ne&&this._fireEvent(\"movestart\",ne.originalEvent);for(var cr in we)this._fireEvent(cr,we[cr]);ne&&this._fireEvent(\"move\",ne.originalEvent);for(var Nt in D){var Ne=D[Nt],$e=Ne.originalEvent;this._fireEvent(Nt,$e)}var st={},It;for(var Bt in this._eventsInProgress){var Ft=this._eventsInProgress[Bt],Ut=Ft.handlerName,zt=Ft.originalEvent;this._handlersById[Ut].isActive()||(delete this._eventsInProgress[Bt],It=J[Ut]||zt,st[Bt+\"end\"]=It)}for(var _t in st)this._fireEvent(_t,st[_t]);var Dt=vi(this._eventsInProgress);if(O&&(de||ne)&&!Dt){this._updatingCamera=!0;var vt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),lr=function(_r){return _r!==0&&-K._bearingSnap<_r&&_r<K._bearingSnap};vt?(lr(vt.bearing||this._map.getBearing())&&(vt.bearing=0),this._map.easeTo(vt,{originalEvent:It})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:It})),lr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Si.prototype._fireEvent=function(D,J){this._map.fire(new i.Event(D,J?{originalEvent:J}:{}))},Si.prototype._requestFrame=function(){var D=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(J){delete D._frameId,D.handleEvent(new Ni(\"renderFrame\",{timeStamp:J})),D._applyChanges()})},Si.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var Vn=(function(Y){function D(J,O){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=J,this._bearingSnap=O.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},D.prototype.setCenter=function(O,K){return this.jumpTo({center:O},K)},D.prototype.panBy=function(O,K,de){return O=i.Point.convert(O).mult(-1),this.panTo(this.transform.center,i.extend({offset:O},K),de)},D.prototype.panTo=function(O,K,de){return this.easeTo(i.extend({center:O},K),de)},D.prototype.getZoom=function(){return this.transform.zoom},D.prototype.setZoom=function(O,K){return this.jumpTo({zoom:O},K),this},D.prototype.zoomTo=function(O,K,de){return this.easeTo(i.extend({zoom:O},K),de)},D.prototype.zoomIn=function(O,K){return this.zoomTo(this.getZoom()+1,O,K),this},D.prototype.zoomOut=function(O,K){return this.zoomTo(this.getZoom()-1,O,K),this},D.prototype.getBearing=function(){return this.transform.bearing},D.prototype.setBearing=function(O,K){return this.jumpTo({bearing:O},K),this},D.prototype.getPadding=function(){return this.transform.padding},D.prototype.setPadding=function(O,K){return this.jumpTo({padding:O},K),this},D.prototype.rotateTo=function(O,K,de){return this.easeTo(i.extend({bearing:O},K),de)},D.prototype.resetNorth=function(O,K){return this.rotateTo(0,i.extend({duration:1e3},O),K),this},D.prototype.resetNorthPitch=function(O,K){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},O),K),this},D.prototype.snapToNorth=function(O,K){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(O,K):this},D.prototype.getPitch=function(){return this.transform.pitch},D.prototype.setPitch=function(O,K){return this.jumpTo({pitch:O},K),this},D.prototype.cameraForBounds=function(O,K){O=i.LngLatBounds.convert(O);var de=K&&K.bearing||0;return this._cameraForBoxAndBearing(O.getNorthWest(),O.getSouthEast(),de,K)},D.prototype._cameraForBoxAndBearing=function(O,K,de,ne){var we={top:0,bottom:0,right:0,left:0};if(ne=i.extend({padding:we,offset:[0,0],maxZoom:this.transform.maxZoom},ne),typeof ne.padding==\"number\"){var Oe=ne.padding;ne.padding={top:Oe,bottom:Oe,right:Oe,left:Oe}}ne.padding=i.extend(we,ne.padding);var ht=this.transform,Yt=ht.padding,cr=ht.project(i.LngLat.convert(O)),Nt=ht.project(i.LngLat.convert(K)),Ne=cr.rotate(-de*Math.PI/180),$e=Nt.rotate(-de*Math.PI/180),st=new i.Point(Math.max(Ne.x,$e.x),Math.max(Ne.y,$e.y)),It=new i.Point(Math.min(Ne.x,$e.x),Math.min(Ne.y,$e.y)),Bt=st.sub(It),Ft=(ht.width-(Yt.left+Yt.right+ne.padding.left+ne.padding.right))/Bt.x,Ut=(ht.height-(Yt.top+Yt.bottom+ne.padding.top+ne.padding.bottom))/Bt.y;if(Ut<0||Ft<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var zt=Math.min(ht.scaleZoom(ht.scale*Math.min(Ft,Ut)),ne.maxZoom),_t=typeof ne.offset.x==\"number\"?new i.Point(ne.offset.x,ne.offset.y):i.Point.convert(ne.offset),Dt=(ne.padding.left-ne.padding.right)/2,vt=(ne.padding.top-ne.padding.bottom)/2,lr=new i.Point(Dt,vt),_r=lr.rotate(de*Math.PI/180),Br=_t.add(_r),Di=Br.mult(ht.scale/ht.zoomScale(zt)),ci=ht.unproject(cr.add(Nt).div(2).sub(Di));return{center:ci,zoom:zt,bearing:de}},D.prototype.fitBounds=function(O,K,de){return this._fitInternal(this.cameraForBounds(O,K),K,de)},D.prototype.fitScreenCoordinates=function(O,K,de,ne,we){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(O)),this.transform.pointLocation(i.Point.convert(K)),de,ne),ne,we)},D.prototype._fitInternal=function(O,K,de){return O?(K=i.extend(O,K),delete K.padding,K.linear?this.easeTo(K,de):this.flyTo(K,de)):this},D.prototype.jumpTo=function(O,K){this.stop();var de=this.transform,ne=!1,we=!1,Oe=!1;return\"zoom\"in O&&de.zoom!==+O.zoom&&(ne=!0,de.zoom=+O.zoom),O.center!==void 0&&(de.center=i.LngLat.convert(O.center)),\"bearing\"in O&&de.bearing!==+O.bearing&&(we=!0,de.bearing=+O.bearing),\"pitch\"in O&&de.pitch!==+O.pitch&&(Oe=!0,de.pitch=+O.pitch),O.padding!=null&&!de.isPaddingEqual(O.padding)&&(de.padding=O.padding),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K)),ne&&this.fire(new i.Event(\"zoomstart\",K)).fire(new i.Event(\"zoom\",K)).fire(new i.Event(\"zoomend\",K)),we&&this.fire(new i.Event(\"rotatestart\",K)).fire(new i.Event(\"rotate\",K)).fire(new i.Event(\"rotateend\",K)),Oe&&this.fire(new i.Event(\"pitchstart\",K)).fire(new i.Event(\"pitch\",K)).fire(new i.Event(\"pitchend\",K)),this.fire(new i.Event(\"moveend\",K))},D.prototype.easeTo=function(O,K){var de=this;this._stop(!1,O.easeId),O=i.extend({offset:[0,0],duration:500,easing:i.ease},O),(O.animate===!1||!O.essential&&i.browser.prefersReducedMotion)&&(O.duration=0);var ne=this.transform,we=this.getZoom(),Oe=this.getBearing(),ht=this.getPitch(),Yt=this.getPadding(),cr=\"zoom\"in O?+O.zoom:we,Nt=\"bearing\"in O?this._normalizeBearing(O.bearing,Oe):Oe,Ne=\"pitch\"in O?+O.pitch:ht,$e=\"padding\"in O?O.padding:ne.padding,st=i.Point.convert(O.offset),It=ne.centerPoint.add(st),Bt=ne.pointLocation(It),Ft=i.LngLat.convert(O.center||Bt);this._normalizeCenter(Ft);var Ut=ne.project(Bt),zt=ne.project(Ft).sub(Ut),_t=ne.zoomScale(cr-we),Dt,vt;O.around&&(Dt=i.LngLat.convert(O.around),vt=ne.locationPoint(Dt));var lr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||cr!==we,this._rotating=this._rotating||Oe!==Nt,this._pitching=this._pitching||Ne!==ht,this._padding=!ne.isPaddingEqual($e),this._easeId=O.easeId,this._prepareEase(K,O.noMoveStart,lr),this._ease(function(_r){if(de._zooming&&(ne.zoom=i.number(we,cr,_r)),de._rotating&&(ne.bearing=i.number(Oe,Nt,_r)),de._pitching&&(ne.pitch=i.number(ht,Ne,_r)),de._padding&&(ne.interpolatePadding(Yt,$e,_r),It=ne.centerPoint.add(st)),Dt)ne.setLocationAtPoint(Dt,vt);else{var Br=ne.zoomScale(ne.zoom-we),Di=cr>we?Math.min(2,_t):Math.max(.5,_t),ci=Math.pow(Di,1-_r),bi=ne.unproject(Ut.add(zt.mult(_r*ci)).mult(Br));ne.setLocationAtPoint(ne.renderWorldCopies?bi.wrap():bi,It)}de._fireMoveEvents(K)},function(_r){de._afterEase(K,_r)},O),this},D.prototype._prepareEase=function(O,K,de){de===void 0&&(de={}),this._moving=!0,!K&&!de.moving&&this.fire(new i.Event(\"movestart\",O)),this._zooming&&!de.zooming&&this.fire(new i.Event(\"zoomstart\",O)),this._rotating&&!de.rotating&&this.fire(new i.Event(\"rotatestart\",O)),this._pitching&&!de.pitching&&this.fire(new i.Event(\"pitchstart\",O))},D.prototype._fireMoveEvents=function(O){this.fire(new i.Event(\"move\",O)),this._zooming&&this.fire(new i.Event(\"zoom\",O)),this._rotating&&this.fire(new i.Event(\"rotate\",O)),this._pitching&&this.fire(new i.Event(\"pitch\",O))},D.prototype._afterEase=function(O,K){if(!(this._easeId&&K&&this._easeId===K)){delete this._easeId;var de=this._zooming,ne=this._rotating,we=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,de&&this.fire(new i.Event(\"zoomend\",O)),ne&&this.fire(new i.Event(\"rotateend\",O)),we&&this.fire(new i.Event(\"pitchend\",O)),this.fire(new i.Event(\"moveend\",O))}},D.prototype.flyTo=function(O,K){var de=this;if(!O.essential&&i.browser.prefersReducedMotion){var ne=i.pick(O,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(ne,K)}this.stop(),O=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},O);var we=this.transform,Oe=this.getZoom(),ht=this.getBearing(),Yt=this.getPitch(),cr=this.getPadding(),Nt=\"zoom\"in O?i.clamp(+O.zoom,we.minZoom,we.maxZoom):Oe,Ne=\"bearing\"in O?this._normalizeBearing(O.bearing,ht):ht,$e=\"pitch\"in O?+O.pitch:Yt,st=\"padding\"in O?O.padding:we.padding,It=we.zoomScale(Nt-Oe),Bt=i.Point.convert(O.offset),Ft=we.centerPoint.add(Bt),Ut=we.pointLocation(Ft),zt=i.LngLat.convert(O.center||Ut);this._normalizeCenter(zt);var _t=we.project(Ut),Dt=we.project(zt).sub(_t),vt=O.curve,lr=Math.max(we.width,we.height),_r=lr/It,Br=Dt.mag();if(\"minZoom\"in O){var Di=i.clamp(Math.min(O.minZoom,Oe,Nt),we.minZoom,we.maxZoom),ci=lr/we.zoomScale(Di-Oe);vt=Math.sqrt(ci/Br*2)}var bi=vt*vt;function gn(so){var Yo=(_r*_r-lr*lr+(so?-1:1)*bi*bi*Br*Br)/(2*(so?_r:lr)*bi*Br);return Math.log(Math.sqrt(Yo*Yo+1)-Yo)}function tn(so){return(Math.exp(so)-Math.exp(-so))/2}function Ei(so){return(Math.exp(so)+Math.exp(-so))/2}function Oi(so){return tn(so)/Ei(so)}var Gi=gn(0),on=function(so){return Ei(Gi)/Ei(Gi+vt*so)},zn=function(so){return lr*((Ei(Gi)*Oi(Gi+vt*so)-tn(Gi))/bi)/Br},Ja=(gn(1)-Gi)/vt;if(Math.abs(Br)<1e-6||!isFinite(Ja)){if(Math.abs(lr-_r)<1e-6)return this.easeTo(O,K);var co=_r<lr?-1:1;Ja=Math.abs(Math.log(_r/lr))/vt,zn=function(){return 0},on=function(so){return Math.exp(co*vt*so)}}if(\"duration\"in O)O.duration=+O.duration;else{var ts=\"screenSpeed\"in O?+O.screenSpeed/vt:+O.speed;O.duration=1e3*Ja/ts}return O.maxDuration&&O.duration>O.maxDuration&&(O.duration=0),this._zooming=!0,this._rotating=ht!==Ne,this._pitching=$e!==Yt,this._padding=!we.isPaddingEqual(st),this._prepareEase(K,!1),this._ease(function(so){var Yo=so*Ja,ms=1/on(Yo);we.zoom=so===1?Nt:Oe+we.scaleZoom(ms),de._rotating&&(we.bearing=i.number(ht,Ne,so)),de._pitching&&(we.pitch=i.number(Yt,$e,so)),de._padding&&(we.interpolatePadding(cr,st,so),Ft=we.centerPoint.add(Bt));var ou=so===1?zt:we.unproject(_t.add(Dt.mult(zn(Yo))).mult(ms));we.setLocationAtPoint(we.renderWorldCopies?ou.wrap():ou,Ft),de._fireMoveEvents(K)},function(){return de._afterEase(K)},O),this},D.prototype.isEasing=function(){return!!this._easeFrameId},D.prototype.stop=function(){return this._stop()},D.prototype._stop=function(O,K){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var de=this._onEaseEnd;delete this._onEaseEnd,de.call(this,K)}if(!O){var ne=this.handlers;ne&&ne.stop(!1)}return this},D.prototype._ease=function(O,K,de){de.animate===!1||de.duration===0?(O(1),K()):(this._easeStart=i.browser.now(),this._easeOptions=de,this._onEaseFrame=O,this._onEaseEnd=K,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},D.prototype._renderFrameCallback=function(){var O=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(O)),O<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},D.prototype._normalizeBearing=function(O,K){O=i.wrap(O,-180,180);var de=Math.abs(O-K);return Math.abs(O-360-K)<de&&(O-=360),Math.abs(O+360-K)<de&&(O+=360),O},D.prototype._normalizeCenter=function(O){var K=this.transform;if(!(!K.renderWorldCopies||K.lngRange)){var de=O.lng-K.center.lng;O.lng+=de>180?-360:de<-180?360:0}},D})(i.Evented),Qi=function(D){D===void 0&&(D={}),this.options=D,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Qi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Qi.prototype.onAdd=function(D){var J=this.options&&this.options.compact;return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),J&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),J===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Qi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Qi.prototype._setElementTitle=function(D,J){var O=this._map._getUIString(\"AttributionControl.\"+J);D.title=O,D.setAttribute(\"aria-label\",O)},Qi.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Qi.prototype._updateEditLink=function(){var D=this._editLink;D||(D=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var J=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(D){var O=J.reduce(function(K,de,ne){return de.value&&(K+=de.key+\"=\"+de.value+(ne<J.length-1?\"&\":\"\")),K},\"?\");D.href=i.config.FEEDBACK_URL+\"/\"+O+(this._map._hash?this._map._hash.getHashString(!0):\"\"),D.rel=\"noopener nofollow\",this._setElementTitle(D,\"MapFeedback\")}},Qi.prototype._updateData=function(D){D&&(D.sourceDataType===\"metadata\"||D.sourceDataType===\"visibility\"||D.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Qi.prototype._updateAttributions=function(){if(this._map.style){var D=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?D=D.concat(this.options.customAttribution.map(function(Oe){return typeof Oe!=\"string\"?\"\":Oe})):typeof this.options.customAttribution==\"string\"&&D.push(this.options.customAttribution)),this._map.style.stylesheet){var J=this._map.style.stylesheet;this.styleOwner=J.owner,this.styleId=J.id}var O=this._map.style.sourceCaches;for(var K in O){var de=O[K];if(de.used){var ne=de.getSource();ne.attribution&&D.indexOf(ne.attribution)<0&&D.push(ne.attribution)}}D.sort(function(Oe,ht){return Oe.length-ht.length}),D=D.filter(function(Oe,ht){for(var Yt=ht+1;Yt<D.length;Yt++)if(D[Yt].indexOf(Oe)>=0)return!1;return!0});var we=D.join(\" | \");we!==this._attribHTML&&(this._attribHTML=we,D.length?(this._innerContainer.innerHTML=we,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Qi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Wi=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Wi.prototype.onAdd=function(D){this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var J=o.create(\"a\",\"mapboxgl-ctrl-logo\");return J.target=\"_blank\",J.rel=\"noopener nofollow\",J.href=\"https://www.mapbox.com/\",J.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),J.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(J),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Wi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Wi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wi.prototype._updateLogo=function(D){(!D||D.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Wi.prototype._logoRequired=function(){if(this._map.style){var D=this._map.style.sourceCaches;for(var J in D){var O=D[J].getSource();if(O.mapbox_logo)return!0}return!1}},Wi.prototype._updateCompact=function(){var D=this._container.children;if(D.length){var J=D[0];this._map.getCanvasContainer().offsetWidth<250?J.classList.add(\"mapboxgl-compact\"):J.classList.remove(\"mapboxgl-compact\")}};var oi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};oi.prototype.add=function(D){var J=++this._id,O=this._queue;return O.push({callback:D,id:J,cancelled:!1}),J},oi.prototype.remove=function(D){for(var J=this._currentlyRunning,O=J?this._queue.concat(J):this._queue,K=0,de=O;K<de.length;K+=1){var ne=de[K];if(ne.id===D){ne.cancelled=!0;return}}},oi.prototype.run=function(D){D===void 0&&(D=0);var J=this._currentlyRunning=this._queue;this._queue=[];for(var O=0,K=J;O<K.length;O+=1){var de=K[O];if(!de.cancelled&&(de.callback(D),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},oi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Tr={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Zr=i.window.HTMLImageElement,yi=i.window.HTMLElement,Ii=i.window.ImageBitmap,ui=-2,nn=22,Zi=0,qn=60,fi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:ui,maxZoom:nn,minPitch:Zi,maxPitch:qn,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},si=(function(Y){function D(O){var K=this;if(O=i.extend({},fi,O),O.minZoom!=null&&O.maxZoom!=null&&O.minZoom>O.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(O.minPitch!=null&&O.maxPitch!=null&&O.minPitch>O.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(O.minPitch!=null&&O.minPitch<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(O.maxPitch!=null&&O.maxPitch>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);var de=new wo(O.minZoom,O.maxZoom,O.minPitch,O.maxPitch,O.renderWorldCopies);if(Y.call(this,de,O),this._interactive=O.interactive,this._maxTileCacheSize=O.maxTileCacheSize,this._failIfMajorPerformanceCaveat=O.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=O.preserveDrawingBuffer,this._antialias=O.antialias,this._trackResize=O.trackResize,this._bearingSnap=O.bearingSnap,this._refreshExpiredTiles=O.refreshExpiredTiles,this._fadeDuration=O.fadeDuration,this._crossSourceCollisions=O.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=O.collectResourceTiming,this._renderTaskQueue=new oi,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Tr,O.locale),this._clickTolerance=O.clickTolerance,this._requestManager=new i.RequestManager(O.transformRequest,O.accessToken),typeof O.container==\"string\"){if(this._container=i.window.document.getElementById(O.container),!this._container)throw new Error(\"Container '\"+O.container+\"' not found.\")}else if(O.container instanceof yi)this._container=O.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(O.maxBounds&&this.setMaxBounds(O.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return K._update(!1)}),this.on(\"moveend\",function(){return K._update(!1)}),this.on(\"zoom\",function(){return K._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Si(this,O);var ne=typeof O.hash==\"string\"&&O.hash||void 0;this._hash=O.hash&&new Nl(ne).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:O.center,zoom:O.zoom,bearing:O.bearing,pitch:O.pitch}),O.bounds&&(this.resize(),this.fitBounds(O.bounds,i.extend({},O.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=O.localIdeographFontFamily,O.style&&this.setStyle(O.style,{localIdeographFontFamily:O.localIdeographFontFamily}),O.attributionControl&&this.addControl(new Qi({customAttribution:O.customAttribution})),this.addControl(new Wi,O.logoPosition),this.on(\"style.load\",function(){K.transform.unmodified&&K.jumpTo(K.style.stylesheet)}),this.on(\"data\",function(we){K._update(we.dataType===\"style\"),K.fire(new i.Event(we.dataType+\"data\",we))}),this.on(\"dataloading\",function(we){K.fire(new i.Event(we.dataType+\"dataloading\",we))})}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return D.prototype._getMapId=function(){return this._mapId},D.prototype.addControl=function(K,de){if(de===void 0&&(K.getDefaultPosition?de=K.getDefaultPosition():de=\"top-right\"),!K||!K.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var ne=K.onAdd(this);this._controls.push(K);var we=this._controlPositions[de];return de.indexOf(\"bottom\")!==-1?we.insertBefore(ne,we.firstChild):we.appendChild(ne),this},D.prototype.removeControl=function(K){if(!K||!K.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=this._controls.indexOf(K);return de>-1&&this._controls.splice(de,1),K.onRemove(this),this},D.prototype.hasControl=function(K){return this._controls.indexOf(K)>-1},D.prototype.resize=function(K){var de=this._containerDimensions(),ne=de[0],we=de[1];this._resizeCanvas(ne,we),this.transform.resize(ne,we),this.painter.resize(ne,we);var Oe=!this._moving;return Oe&&(this.stop(),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K))),this.fire(new i.Event(\"resize\",K)),Oe&&this.fire(new i.Event(\"moveend\",K)),this},D.prototype.getBounds=function(){return this.transform.getBounds()},D.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},D.prototype.setMaxBounds=function(K){return this.transform.setMaxBounds(i.LngLatBounds.convert(K)),this._update()},D.prototype.setMinZoom=function(K){if(K=K==null?ui:K,K>=ui&&K<=this.transform.maxZoom)return this.transform.minZoom=K,this._update(),this.getZoom()<K&&this.setZoom(K),this;throw new Error(\"minZoom must be between \"+ui+\" and the current maxZoom, inclusive\")},D.prototype.getMinZoom=function(){return this.transform.minZoom},D.prototype.setMaxZoom=function(K){if(K=K==null?nn:K,K>=this.transform.minZoom)return this.transform.maxZoom=K,this._update(),this.getZoom()>K&&this.setZoom(K),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},D.prototype.getMaxZoom=function(){return this.transform.maxZoom},D.prototype.setMinPitch=function(K){if(K=K==null?Zi:K,K<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(K>=Zi&&K<=this.transform.maxPitch)return this.transform.minPitch=K,this._update(),this.getPitch()<K&&this.setPitch(K),this;throw new Error(\"minPitch must be between \"+Zi+\" and the current maxPitch, inclusive\")},D.prototype.getMinPitch=function(){return this.transform.minPitch},D.prototype.setMaxPitch=function(K){if(K=K==null?qn:K,K>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);if(K>=this.transform.minPitch)return this.transform.maxPitch=K,this._update(),this.getPitch()>K&&this.setPitch(K),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},D.prototype.getMaxPitch=function(){return this.transform.maxPitch},D.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},D.prototype.setRenderWorldCopies=function(K){return this.transform.renderWorldCopies=K,this._update()},D.prototype.project=function(K){return this.transform.locationPoint(i.LngLat.convert(K))},D.prototype.unproject=function(K){return this.transform.pointLocation(i.Point.convert(K))},D.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},D.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},D.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},D.prototype._createDelegatedListener=function(K,de,ne){var we=this,Oe;if(K===\"mouseenter\"||K===\"mouseover\"){var ht=!1,Yt=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length?ht||(ht=!0,ne.call(we,new se(K,we,It.originalEvent,{features:Bt}))):ht=!1},cr=function(){ht=!1};return{layer:de,listener:ne,delegates:{mousemove:Yt,mouseout:cr}}}else if(K===\"mouseleave\"||K===\"mouseout\"){var Nt=!1,Ne=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length?Nt=!0:Nt&&(Nt=!1,ne.call(we,new se(K,we,It.originalEvent)))},$e=function(It){Nt&&(Nt=!1,ne.call(we,new se(K,we,It.originalEvent)))};return{layer:de,listener:ne,delegates:{mousemove:Ne,mouseout:$e}}}else{var st=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length&&(It.features=Bt,ne.call(we,It),delete It.features)};return{layer:de,listener:ne,delegates:(Oe={},Oe[K]=st,Oe)}}},D.prototype.on=function(K,de,ne){if(ne===void 0)return Y.prototype.on.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[K]=this._delegatedListeners[K]||[],this._delegatedListeners[K].push(we);for(var Oe in we.delegates)this.on(Oe,we.delegates[Oe]);return this},D.prototype.once=function(K,de,ne){if(ne===void 0)return Y.prototype.once.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);for(var Oe in we.delegates)this.once(Oe,we.delegates[Oe]);return this},D.prototype.off=function(K,de,ne){var we=this;if(ne===void 0)return Y.prototype.off.call(this,K,de);var Oe=function(ht){for(var Yt=ht[K],cr=0;cr<Yt.length;cr++){var Nt=Yt[cr];if(Nt.layer===de&&Nt.listener===ne){for(var Ne in Nt.delegates)we.off(Ne,Nt.delegates[Ne]);return Yt.splice(cr,1),we}}};return this._delegatedListeners&&this._delegatedListeners[K]&&Oe(this._delegatedListeners),this},D.prototype.queryRenderedFeatures=function(K,de){if(!this.style)return[];de===void 0&&K!==void 0&&!(K instanceof i.Point)&&!Array.isArray(K)&&(de=K,K=void 0),de=de||{},K=K||[[0,0],[this.transform.width,this.transform.height]];var ne;if(K instanceof i.Point||typeof K[0]==\"number\")ne=[i.Point.convert(K)];else{var we=i.Point.convert(K[0]),Oe=i.Point.convert(K[1]);ne=[we,new i.Point(Oe.x,we.y),Oe,new i.Point(we.x,Oe.y),we]}return this.style.queryRenderedFeatures(ne,de,this.transform)},D.prototype.querySourceFeatures=function(K,de){return this.style.querySourceFeatures(K,de)},D.prototype.setStyle=function(K,de){return de=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},de),de.diff!==!1&&de.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&K?(this._diffStyle(K,de),this):(this._localIdeographFontFamily=de.localIdeographFontFamily,this._updateStyle(K,de))},D.prototype._getUIString=function(K){var de=this._locale[K];if(de==null)throw new Error(\"Missing UI string '\"+K+\"'\");return de},D.prototype._updateStyle=function(K,de){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),K)this.style=new yu(this,de||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof K==\"string\"?this.style.loadURL(K):this.style.loadJSON(K),this},D.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new yu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},D.prototype._diffStyle=function(K,de){var ne=this;if(typeof K==\"string\"){var we=this._requestManager.normalizeStyleURL(K),Oe=this._requestManager.transformRequest(we,i.ResourceType.Style);i.getJSON(Oe,function(ht,Yt){ht?ne.fire(new i.ErrorEvent(ht)):Yt&&ne._updateDiff(Yt,de)})}else typeof K==\"object\"&&this._updateDiff(K,de)},D.prototype._updateDiff=function(K,de){try{this.style.setState(K)&&this._update(!0)}catch(ne){i.warnOnce(\"Unable to perform style diff: \"+(ne.message||ne.error||ne)+\".  Rebuilding the style from scratch.\"),this._updateStyle(K,de)}},D.prototype.getStyle=function(){if(this.style)return this.style.serialize()},D.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},D.prototype.addSource=function(K,de){return this._lazyInitEmptyStyle(),this.style.addSource(K,de),this._update(!0)},D.prototype.isSourceLoaded=function(K){var de=this.style&&this.style.sourceCaches[K];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+K+\"'\")));return}return de.loaded()},D.prototype.areTilesLoaded=function(){var K=this.style&&this.style.sourceCaches;for(var de in K){var ne=K[de],we=ne._tiles;for(var Oe in we){var ht=we[Oe];if(!(ht.state===\"loaded\"||ht.state===\"errored\"))return!1}}return!0},D.prototype.addSourceType=function(K,de,ne){return this._lazyInitEmptyStyle(),this.style.addSourceType(K,de,ne)},D.prototype.removeSource=function(K){return this.style.removeSource(K),this._update(!0)},D.prototype.getSource=function(K){return this.style.getSource(K)},D.prototype.addImage=function(K,de,ne){ne===void 0&&(ne={});var we=ne.pixelRatio;we===void 0&&(we=1);var Oe=ne.sdf;Oe===void 0&&(Oe=!1);var ht=ne.stretchX,Yt=ne.stretchY,cr=ne.content;this._lazyInitEmptyStyle();var Nt=0;if(de instanceof Zr||Ii&&de instanceof Ii){var Ne=i.browser.getImageData(de),$e=Ne.width,st=Ne.height,It=Ne.data;this.style.addImage(K,{data:new i.RGBAImage({width:$e,height:st},It),pixelRatio:we,stretchX:ht,stretchY:Yt,content:cr,sdf:Oe,version:Nt})}else{if(de.width===void 0||de.height===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var Bt=de.width,Ft=de.height,Ut=de.data,zt=de;this.style.addImage(K,{data:new i.RGBAImage({width:Bt,height:Ft},new Uint8Array(Ut)),pixelRatio:we,stretchX:ht,stretchY:Yt,content:cr,sdf:Oe,version:Nt,userImage:zt}),zt.onAdd&&zt.onAdd(this,K)}},D.prototype.updateImage=function(K,de){var ne=this.style.getImage(K);if(!ne)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var we=de instanceof Zr||Ii&&de instanceof Ii?i.browser.getImageData(de):de,Oe=we.width,ht=we.height,Yt=we.data;if(Oe===void 0||ht===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(Oe!==ne.data.width||ht!==ne.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var cr=!(de instanceof Zr||Ii&&de instanceof Ii);ne.data.replace(Yt,cr),this.style.updateImage(K,ne)},D.prototype.hasImage=function(K){return K?!!this.style.getImage(K):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},D.prototype.removeImage=function(K){this.style.removeImage(K)},D.prototype.loadImage=function(K,de){i.getImage(this._requestManager.transformRequest(K,i.ResourceType.Image),de)},D.prototype.listImages=function(){return this.style.listImages()},D.prototype.addLayer=function(K,de){return this._lazyInitEmptyStyle(),this.style.addLayer(K,de),this._update(!0)},D.prototype.moveLayer=function(K,de){return this.style.moveLayer(K,de),this._update(!0)},D.prototype.removeLayer=function(K){return this.style.removeLayer(K),this._update(!0)},D.prototype.getLayer=function(K){return this.style.getLayer(K)},D.prototype.setLayerZoomRange=function(K,de,ne){return this.style.setLayerZoomRange(K,de,ne),this._update(!0)},D.prototype.setFilter=function(K,de,ne){return ne===void 0&&(ne={}),this.style.setFilter(K,de,ne),this._update(!0)},D.prototype.getFilter=function(K){return this.style.getFilter(K)},D.prototype.setPaintProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setPaintProperty(K,de,ne,we),this._update(!0)},D.prototype.getPaintProperty=function(K,de){return this.style.getPaintProperty(K,de)},D.prototype.setLayoutProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setLayoutProperty(K,de,ne,we),this._update(!0)},D.prototype.getLayoutProperty=function(K,de){return this.style.getLayoutProperty(K,de)},D.prototype.setLight=function(K,de){return de===void 0&&(de={}),this._lazyInitEmptyStyle(),this.style.setLight(K,de),this._update(!0)},D.prototype.getLight=function(){return this.style.getLight()},D.prototype.setFeatureState=function(K,de){return this.style.setFeatureState(K,de),this._update()},D.prototype.removeFeatureState=function(K,de){return this.style.removeFeatureState(K,de),this._update()},D.prototype.getFeatureState=function(K){return this.style.getFeatureState(K)},D.prototype.getContainer=function(){return this._container},D.prototype.getCanvasContainer=function(){return this._canvasContainer},D.prototype.getCanvas=function(){return this._canvas},D.prototype._containerDimensions=function(){var K=0,de=0;return this._container&&(K=this._container.clientWidth||400,de=this._container.clientHeight||300),[K,de]},D.prototype._detectMissingCSS=function(){var K=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");K!==\"rgb(250, 128, 114)\"&&i.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},D.prototype._setupContainer=function(){var K=this._container;K.classList.add(\"mapboxgl-map\");var de=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",K);de.style.visibility=\"hidden\",this._detectMissingCSS();var ne=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",K);this._interactive&&ne.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",ne),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var we=this._containerDimensions();this._resizeCanvas(we[0],we[1]);var Oe=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",K),ht=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Yt){ht[Yt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Yt,Oe)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},D.prototype._resizeCanvas=function(K,de){var ne=i.browser.devicePixelRatio||1;this._canvas.width=ne*K,this._canvas.height=ne*de,this._canvas.style.width=K+\"px\",this._canvas.style.height=de+\"px\"},D.prototype._setupPainter=function(){var K=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),de=this._canvas.getContext(\"webgl\",K)||this._canvas.getContext(\"experimental-webgl\",K);if(!de){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new mo(de,this.transform),i.webpSupported.testSupport(de)},D.prototype._contextLost=function(K){K.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:K}))},D.prototype._contextRestored=function(K){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:K}))},D.prototype._onMapScroll=function(K){if(K.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},D.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},D.prototype._update=function(K){return this.style?(this._styleDirty=this._styleDirty||K,this._sourcesDirty=!0,this.triggerRepaint(),this):this},D.prototype._requestRenderFrame=function(K){return this._update(),this._renderTaskQueue.add(K)},D.prototype._cancelRenderFrame=function(K){this._renderTaskQueue.remove(K)},D.prototype._render=function(K){var de=this,ne,we=0,Oe=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(ne=Oe.createQueryEXT(),Oe.beginQueryEXT(Oe.TIME_ELAPSED_EXT,ne),we=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(K),!this._removed){var ht=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Yt=this.transform.zoom,cr=i.browser.now();this.style.zoomHistory.update(Yt,cr);var Nt=new i.EvaluationParameters(Yt,{now:cr,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ne=Nt.crossFadingFactor();(Ne!==1||Ne!==this._crossFadingFactor)&&(ht=!0,this._crossFadingFactor=Ne),this.style.update(Nt)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||ht)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var $e=i.browser.now()-we;Oe.endQueryEXT(Oe.TIME_ELAPSED_EXT,ne),setTimeout(function(){var Bt=Oe.getQueryObjectEXT(ne,Oe.QUERY_RESULT_EXT)/1e6;Oe.deleteQueryEXT(ne),de.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:$e,gpuTime:Bt}))},50)}if(this.listens(\"gpu-timing-layer\")){var st=this.painter.collectGpuTimers();setTimeout(function(){var Bt=de.painter.queryGpuTimers(st);de.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:Bt}))},50)}var It=this._sourcesDirty||this._styleDirty||this._placementDirty;return It||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!It&&(this._fullyLoaded=!0),this}},D.prototype.remove=function(){this._hash&&this._hash.remove();for(var K=0,de=this._controls;K<de.length;K+=1){var ne=de[K];ne.onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var we=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");we&&we.loseContext&&we.loseContext(),mn(this._canvasContainer),mn(this._controlContainer),mn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},D.prototype.triggerRepaint=function(){var K=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(de){K._frame=null,K._render(de)}))},D.prototype._onWindowOnline=function(){this._update()},D.prototype._onWindowResize=function(K){this._trackResize&&this.resize({originalEvent:K})._update()},J.showTileBoundaries.get=function(){return!!this._showTileBoundaries},J.showTileBoundaries.set=function(O){this._showTileBoundaries!==O&&(this._showTileBoundaries=O,this._update())},J.showPadding.get=function(){return!!this._showPadding},J.showPadding.set=function(O){this._showPadding!==O&&(this._showPadding=O,this._update())},J.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},J.showCollisionBoxes.set=function(O){this._showCollisionBoxes!==O&&(this._showCollisionBoxes=O,O?this.style._generateCollisionBoxes():this._update())},J.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},J.showOverdrawInspector.set=function(O){this._showOverdrawInspector!==O&&(this._showOverdrawInspector=O,this._update())},J.repaint.get=function(){return!!this._repaint},J.repaint.set=function(O){this._repaint!==O&&(this._repaint=O,this.triggerRepaint())},J.vertices.get=function(){return!!this._vertices},J.vertices.set=function(O){this._vertices=O,this._update()},D.prototype._setCacheLimits=function(K,de){i.setCacheLimits(K,de)},J.version.get=function(){return i.version},Object.defineProperties(D.prototype,J),D})(Vn);function mn(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var Ji={showCompass:!0,showZoom:!0,visualizePitch:!1},Ui=function(D){var J=this;this.options=i.extend({},Ji,D),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(O){return O.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(O){return J._map.zoomIn({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(O){return J._map.zoomOut({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(O){J.options.visualizePitch?J._map.resetNorthPitch({},{originalEvent:O}):J._map.resetNorth({},{originalEvent:O})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ui.prototype._updateZoomButtons=function(){var D=this._map.getZoom(),J=D===this._map.getMaxZoom(),O=D===this._map.getMinZoom();this._zoomInButton.disabled=J,this._zoomOutButton.disabled=O,this._zoomInButton.setAttribute(\"aria-disabled\",J.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",O.toString())},Ui.prototype._rotateCompassArrow=function(){var D=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=D},Ui.prototype.onAdd=function(D){return this._map=D,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Bi(this._map,this._compass,this.options.visualizePitch)),this._container},Ui.prototype.onRemove=function(){o.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ui.prototype._createButton=function(D,J){var O=o.create(\"button\",D,this._container);return O.type=\"button\",O.addEventListener(\"click\",J),O},Ui.prototype._setButtonTitle=function(D,J){var O=this._map._getUIString(\"NavigationControl.\"+J);D.title=O,D.setAttribute(\"aria-label\",O)};var Bi=function(D,J,O){O===void 0&&(O=!1),this._clickTolerance=10,this.element=J,this.mouseRotate=new Pn({clickTolerance:D.dragRotate._mouseRotate._clickTolerance}),this.map=D,O&&(this.mousePitch=new kn({clickTolerance:D.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(J,\"mousedown\",this.mousedown),o.addEventListener(J,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(J,\"touchmove\",this.touchmove),o.addEventListener(J,\"touchend\",this.touchend),o.addEventListener(J,\"touchcancel\",this.reset)};Bi.prototype.down=function(D,J){this.mouseRotate.mousedown(D,J),this.mousePitch&&this.mousePitch.mousedown(D,J),o.disableDrag()},Bi.prototype.move=function(D,J){var O=this.map,K=this.mouseRotate.mousemoveWindow(D,J);if(K&&K.bearingDelta&&O.setBearing(O.getBearing()+K.bearingDelta),this.mousePitch){var de=this.mousePitch.mousemoveWindow(D,J);de&&de.pitchDelta&&O.setPitch(O.getPitch()+de.pitchDelta)}},Bi.prototype.off=function(){var D=this.element;o.removeEventListener(D,\"mousedown\",this.mousedown),o.removeEventListener(D,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(D,\"touchmove\",this.touchmove),o.removeEventListener(D,\"touchend\",this.touchend),o.removeEventListener(D,\"touchcancel\",this.reset),this.offTemp()},Bi.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousedown=function(D){this.down(i.extend({},D,{ctrlKey:!0,preventDefault:function(){return D.preventDefault()}}),o.mousePos(this.element,D)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousemove=function(D){this.move(D,o.mousePos(this.element,D))},Bi.prototype.mouseup=function(D){this.mouseRotate.mouseupWindow(D),this.mousePitch&&this.mousePitch.mouseupWindow(D),this.offTemp()},Bi.prototype.touchstart=function(D){D.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return D.preventDefault()}},this._startPos))},Bi.prototype.touchmove=function(D){D.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.move({preventDefault:function(){return D.preventDefault()}},this._lastPos))},Bi.prototype.touchend=function(D){D.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Bi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function pn(Y,D,J){if(Y=new i.LngLat(Y.lng,Y.lat),D){var O=new i.LngLat(Y.lng-360,Y.lat),K=new i.LngLat(Y.lng+360,Y.lat),de=J.locationPoint(Y).distSqr(D);J.locationPoint(O).distSqr(D)<de?Y=O:J.locationPoint(K).distSqr(D)<de&&(Y=K)}for(;Math.abs(Y.lng-J.center.lng)>180;){var ne=J.locationPoint(Y);if(ne.x>=0&&ne.y>=0&&ne.x<=J.width&&ne.y<=J.height)break;Y.lng>J.center.lng?Y.lng-=360:Y.lng+=360}return Y}var Nn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function aa(Y,D,J){var O=Y.classList;for(var K in Nn)O.remove(\"mapboxgl-\"+J+\"-anchor-\"+K);O.add(\"mapboxgl-\"+J+\"-anchor-\"+D)}var Ki=(function(Y){function D(J,O){if(Y.call(this),(J instanceof i.window.HTMLElement||O)&&(J=i.extend({element:J},O)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=J&&J.anchor||\"center\",this._color=J&&J.color||\"#3FB1CE\",this._scale=J&&J.scale||1,this._draggable=J&&J.draggable||!1,this._clickTolerance=J&&J.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=J&&J.rotation||0,this._rotationAlignment=J&&J.rotationAlignment||\"auto\",this._pitchAlignment=J&&J.pitchAlignment&&J.pitchAlignment!==\"auto\"?J.pitchAlignment:this._rotationAlignment,!J||!J.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var K=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),de=41,ne=27;K.setAttributeNS(null,\"display\",\"block\"),K.setAttributeNS(null,\"height\",de+\"px\"),K.setAttributeNS(null,\"width\",ne+\"px\"),K.setAttributeNS(null,\"viewBox\",\"0 0 \"+ne+\" \"+de);var we=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");we.setAttributeNS(null,\"stroke\",\"none\"),we.setAttributeNS(null,\"stroke-width\",\"1\"),we.setAttributeNS(null,\"fill\",\"none\"),we.setAttributeNS(null,\"fill-rule\",\"evenodd\");var Oe=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Oe.setAttributeNS(null,\"fill-rule\",\"nonzero\");var ht=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");ht.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),ht.setAttributeNS(null,\"fill\",\"#000000\");for(var Yt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],cr=0,Nt=Yt;cr<Nt.length;cr+=1){var Ne=Nt[cr],$e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");$e.setAttributeNS(null,\"opacity\",\"0.04\"),$e.setAttributeNS(null,\"cx\",\"10.5\"),$e.setAttributeNS(null,\"cy\",\"5.80029008\"),$e.setAttributeNS(null,\"rx\",Ne.rx),$e.setAttributeNS(null,\"ry\",Ne.ry),ht.appendChild($e)}var st=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");st.setAttributeNS(null,\"fill\",this._color);var It=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");It.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),st.appendChild(It);var Bt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Bt.setAttributeNS(null,\"opacity\",\"0.25\"),Bt.setAttributeNS(null,\"fill\",\"#000000\");var Ft=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ft.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Bt.appendChild(Ft);var Ut=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ut.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Ut.setAttributeNS(null,\"fill\",\"#FFFFFF\");var zt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");zt.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var _t=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_t.setAttributeNS(null,\"fill\",\"#000000\"),_t.setAttributeNS(null,\"opacity\",\"0.25\"),_t.setAttributeNS(null,\"cx\",\"5.5\"),_t.setAttributeNS(null,\"cy\",\"5.5\"),_t.setAttributeNS(null,\"r\",\"5.4999962\");var Dt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Dt.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Dt.setAttributeNS(null,\"cx\",\"5.5\"),Dt.setAttributeNS(null,\"cy\",\"5.5\"),Dt.setAttributeNS(null,\"r\",\"5.4999962\"),zt.appendChild(_t),zt.appendChild(Dt),Oe.appendChild(ht),Oe.appendChild(st),Oe.appendChild(Bt),Oe.appendChild(Ut),Oe.appendChild(zt),K.appendChild(Oe),K.setAttributeNS(null,\"height\",de*this._scale+\"px\"),K.setAttributeNS(null,\"width\",ne*this._scale+\"px\"),this._element.appendChild(K),this._offset=i.Point.convert(J&&J.offset||[0,-14])}else this._element=J.element,this._offset=i.Point.convert(J&&J.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(vt){vt.preventDefault()}),this._element.addEventListener(\"mousedown\",function(vt){vt.preventDefault()}),aa(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(O){return this.remove(),this._map=O,O.getCanvasContainer().appendChild(this._element),O.on(\"move\",this._update),O.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},D.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},D.prototype.getElement=function(){return this._element},D.prototype.setPopup=function(O){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),O){if(!(\"offset\"in O.options)){var K=38.1,de=13.5,ne=Math.sqrt(Math.pow(de,2)/2);O.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-K],\"bottom-left\":[ne,(K-de+ne)*-1],\"bottom-right\":[-ne,(K-de+ne)*-1],left:[de,(K-de)*-1],right:[-de,(K-de)*-1]}:this._offset}this._popup=O,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},D.prototype._onKeyPress=function(O){var K=O.code,de=O.charCode||O.keyCode;(K===\"Space\"||K===\"Enter\"||de===32||de===13)&&this.togglePopup()},D.prototype._onMapClick=function(O){var K=O.originalEvent.target,de=this._element;this._popup&&(K===de||de.contains(K))&&this.togglePopup()},D.prototype.getPopup=function(){return this._popup},D.prototype.togglePopup=function(){var O=this._popup;if(O)O.isOpen()?O.remove():O.addTo(this._map);else return this;return this},D.prototype._update=function(O){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var K=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?K=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&(K=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var de=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?de=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(de=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!O||O.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,Nn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+de+\" \"+K)}},D.prototype.getOffset=function(){return this._offset},D.prototype.setOffset=function(O){return this._offset=i.Point.convert(O),this._update(),this},D.prototype._onMove=function(O){if(!this._isDragging){var K=this._clickTolerance||this._map._clickTolerance;this._isDragging=O.point.dist(this._pointerdownPos)>=K}this._isDragging&&(this._pos=O.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},D.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},D.prototype._addDragHandler=function(O){this._element.contains(O.originalEvent.target)&&(O.preventDefault(),this._positionDelta=O.point.sub(this._pos).add(this._offset),this._pointerdownPos=O.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},D.prototype.setDraggable=function(O){return this._draggable=!!O,this._map&&(O?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},D.prototype.isDraggable=function(){return this._draggable},D.prototype.setRotation=function(O){return this._rotation=O||0,this._update(),this},D.prototype.getRotation=function(){return this._rotation},D.prototype.setRotationAlignment=function(O){return this._rotationAlignment=O||\"auto\",this._update(),this},D.prototype.getRotationAlignment=function(){return this._rotationAlignment},D.prototype.setPitchAlignment=function(O){return this._pitchAlignment=O&&O!==\"auto\"?O:this._rotationAlignment,this._update(),this},D.prototype.getPitchAlignment=function(){return this._pitchAlignment},D})(i.Evented),Cn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},ia;function sa(Y){ia!==void 0?Y(ia):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(D){ia=D.state!==\"denied\",Y(ia)}):(ia=!!i.window.navigator.geolocation,Y(ia))}var ba=0,is=!1,Zs=(function(Y){function D(J){Y.call(this),this.options=i.extend({},Cn,J),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(O){return this._map=O,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),sa(this._setupUI),this._container},D.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,ba=0,is=!1},D.prototype._isOutOfMapMaxBounds=function(O){var K=this._map.getMaxBounds(),de=O.coords;return K&&(de.longitude<K.getWest()||de.longitude>K.getEast()||de.latitude<K.getSouth()||de.latitude>K.getNorth())},D.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},D.prototype._onSuccess=function(O){if(this._map){if(this._isOutOfMapMaxBounds(O)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",O)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=O,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(O),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(O),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",O)),this._finish()}},D.prototype._updateCamera=function(O){var K=new i.LngLat(O.coords.longitude,O.coords.latitude),de=O.coords.accuracy,ne=this._map.getBearing(),we=i.extend({bearing:ne},this.options.fitBoundsOptions);this._map.fitBounds(K.toBounds(de),we,{geolocateSource:!0})},D.prototype._updateMarker=function(O){if(O){var K=new i.LngLat(O.coords.longitude,O.coords.latitude);this._accuracyCircleMarker.setLngLat(K).addTo(this._map),this._userLocationDotMarker.setLngLat(K).addTo(this._map),this._accuracy=O.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},D.prototype._updateCircleRadius=function(){var O=this._map._container.clientHeight/2,K=this._map.unproject([0,O]),de=this._map.unproject([1,O]),ne=K.distanceTo(de),we=Math.ceil(2*this._accuracy/ne);this._circleElement.style.width=we+\"px\",this._circleElement.style.height=we+\"px\"},D.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},D.prototype._onError=function(O){if(this._map){if(this.options.trackUserLocation)if(O.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var K=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=K,this._geolocateButton.setAttribute(\"aria-label\",K),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(O.code===3&&is)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",O)),this._finish()}},D.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},D.prototype._setupUI=function(O){var K=this;if(this._container.addEventListener(\"contextmenu\",function(we){return we.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",O===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var de=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}else{var ne=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=ne,this._geolocateButton.setAttribute(\"aria-label\",ne)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Ki(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ki({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(we){var Oe=we.originalEvent&&we.originalEvent.type===\"resize\";!we.geolocateSource&&K._watchState===\"ACTIVE_LOCK\"&&!Oe&&(K._watchState=\"BACKGROUND\",K._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),K._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),K.fire(new i.Event(\"trackuserlocationend\")))})},D.prototype.trigger=function(){if(!this._setup)return i.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":ba--,is=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new i.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new i.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),ba++;var O;ba>1?(O={maximumAge:6e5,timeout:0},is=!0):(O=this.options.positionOptions,is=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,O)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},D.prototype._clearWatch=function(){i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},D})(i.Evented),Ga={maxWidth:100,unit:\"metric\"},El=function(D){this.options=i.extend({},Ga,D),i.bindAll([\"_onMove\",\"setUnit\"],this)};El.prototype.getDefaultPosition=function(){return\"bottom-left\"},El.prototype._onMove=function(){zo(this._map,this._container,this.options)},El.prototype.onAdd=function(D){return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",D.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},El.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},El.prototype.setUnit=function(D){this.options.unit=D,zo(this._map,this._container,this.options)};function zo(Y,D,J){var O=J&&J.maxWidth||100,K=Y._container.clientHeight/2,de=Y.unproject([0,K]),ne=Y.unproject([O,K]),we=de.distanceTo(ne);if(J&&J.unit===\"imperial\"){var Oe=3.2808*we;if(Oe>5280){var ht=Oe/5280;Qs(D,O,ht,Y._getUIString(\"ScaleControl.Miles\"))}else Qs(D,O,Oe,Y._getUIString(\"ScaleControl.Feet\"))}else if(J&&J.unit===\"nautical\"){var Yt=we/1852;Qs(D,O,Yt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else we>=1e3?Qs(D,O,we/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):Qs(D,O,we,Y._getUIString(\"ScaleControl.Meters\"))}function Qs(Y,D,J,O){var K=Ul(J),de=K/J;Y.style.width=D*de+\"px\",Y.innerHTML=K+\"&nbsp;\"+O}function nl(Y){var D=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*D)/D}function Ul(Y){var D=Math.pow(10,(\"\"+Math.floor(Y)).length-1),J=Y/D;return J=J>=10?10:J>=5?5:J>=3?3:J>=2?2:J>=1?1:nl(J),D*J}var ss=function(D){this._fullscreen=!1,D&&D.container&&(D.container instanceof i.window.HTMLElement?this._container=D.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ss.prototype.onAdd=function(D){return this._map=D,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ss.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},ss.prototype._setupUI=function(){var D=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",D).setAttribute(\"aria-hidden\",!0),D.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._updateTitle=function(){var D=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",D),this._fullscreenButton.title=D},ss.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ss.prototype._isFullscreen=function(){return this._fullscreen},ss.prototype._changeIcon=function(){var D=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;D===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ss.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Vs={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},Ys=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),wa=(function(Y){function D(J){Y.call(this),this.options=i.extend(Object.create(Vs),J),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(O){return this._map&&this.remove(),this._map=O,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new i.Event(\"open\")),this},D.prototype.isOpen=function(){return!!this._map},D.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},D.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},D.prototype.getElement=function(){return this._container},D.prototype.setText=function(O){return this.setDOMContent(i.window.document.createTextNode(O))},D.prototype.setHTML=function(O){var K=i.window.document.createDocumentFragment(),de=i.window.document.createElement(\"body\"),ne;for(de.innerHTML=O;ne=de.firstChild,!!ne;)K.appendChild(ne);return this.setDOMContent(K)},D.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},D.prototype.setMaxWidth=function(O){return this.options.maxWidth=O,this._update(),this},D.prototype.setDOMContent=function(O){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(O),this._createCloseButton(),this._update(),this._focusFirstElement(),this},D.prototype.addClassName=function(O){this._container&&this._container.classList.add(O)},D.prototype.removeClassName=function(O){this._container&&this._container.classList.remove(O)},D.prototype.setOffset=function(O){return this.options.offset=O,this._update(),this},D.prototype.toggleClassName=function(O){if(this._container)return this._container.classList.toggle(O)},D.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},D.prototype._onMouseUp=function(O){this._update(O.point)},D.prototype._onMouseMove=function(O){this._update(O.point)},D.prototype._onDrag=function(O){this._update(O.point)},D.prototype._update=function(O){var K=this,de=this._lngLat||this._trackPointer;if(!(!this._map||!de||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(Ne){return K._container.classList.add(Ne)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!O))){var ne=this._pos=this._trackPointer&&O?O:this._map.project(this._lngLat),we=this.options.anchor,Oe=al(this.options.offset);if(!we){var ht=this._container.offsetWidth,Yt=this._container.offsetHeight,cr;ne.y+Oe.bottom.y<Yt?cr=[\"top\"]:ne.y>this._map.transform.height-Yt?cr=[\"bottom\"]:cr=[],ne.x<ht/2?cr.push(\"left\"):ne.x>this._map.transform.width-ht/2&&cr.push(\"right\"),cr.length===0?we=\"bottom\":we=cr.join(\"-\")}var Nt=ne.add(Oe[we]).round();o.setTransform(this._container,Nn[we]+\" translate(\"+Nt.x+\"px,\"+Nt.y+\"px)\"),aa(this._container,we,\"popup\")}},D.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var O=this._container.querySelector(Ys);O&&O.focus()}},D.prototype._onClose=function(){this.remove()},D})(i.Evented);function al(Y){if(Y)if(typeof Y==\"number\"){var D=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(D,D),\"top-right\":new i.Point(-D,D),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(D,-D),\"bottom-right\":new i.Point(-D,-D),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var J=i.Point.convert(Y);return{center:J,top:J,\"top-left\":J,\"top-right\":J,bottom:J,\"bottom-left\":J,\"bottom-right\":J,left:J,right:J}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return al(new i.Point(0,0))}var io={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:si,NavigationControl:Ui,GeolocateControl:Zs,AttributionControl:Qi,ScaleControl:El,FullscreenControl:ss,Popup:wa,Marker:Ki,Style:yu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:ua,clearPrewarmedResources:ma,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return fn.workerCount},set workerCount(Y){fn.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(D){i.clearTileCache(D)},workerUrl:\"\"};return io}),r}))});var EGe=ye((obr,MGe)=>{\"use strict\";var gw=Pr(),_Wt=Zl().sanitizeHTML,xWt=vJ(),TGe=y1();function AGe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=TGe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=AGe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=o7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!o7(e)){var r=bWt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(TGe.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=SGe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),o7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(o7(e)){var t=SGe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function o7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return gw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function SGe(e){var t={},r={};switch(e.type){case\"circle\":gw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":gw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":gw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=xWt(n.textposition,n.iconsize);gw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),gw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":gw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function bWt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=_Wt(e.sourceattribution)),n}MGe.exports=function(t,r,n){var i=new AGe(t,r);return i.update(n),i}});var zGe=ye((sbr,FGe)=>{\"use strict\";var bJ=xJ(),wJ=Pr(),PGe=ey(),kGe=Oa(),wWt=ho(),TWt=yv(),s7=ef(),IGe=Cg(),AWt=IGe.drawMode,SWt=IGe.selectMode,MWt=qf().prepSelect,EWt=qf().clearOutline,kWt=qf().clearSelectionsCache,CWt=qf().selectOnClick,Cx=y1(),LWt=EGe();function RGe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Gh=RGe.prototype;Gh.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Gh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=DGe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new bJ.Map({container:i.div,style:o.style,center:TJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new bJ.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(PGe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Gh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=DGe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(PGe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Gh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var CGe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};Gh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return CGe[f[0].trace.type]-CGe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Gh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(TJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};Gh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Gh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(Cx.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Gh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},wWt.setConvert(t.mockAxis,e)};Gh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];kGe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&s7.hover(n,s,r.id)},s7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){s7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];kGe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(TJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){kWt(r.dragOptions),EWt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&CWt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&s7.click(n,l.originalEvent)}}};Gh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=wJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),SWt(a)||AWt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){MWt(l,u,c,t.dragOptions,a)},TWt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Gh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Gh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(LWt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Gh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Gh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Gh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Gh.getMapLayers=function(){return this.map.getStyle().layers};Gh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}wJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Gh.project=function(e){return this.map.project(new bJ.LngLat(e[0],e[1]))};Gh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Gh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Gh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function DGe(e,t){var r={};if(wJ.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,Cx.styleValuesMapbox.indexOf(e)!==-1)r.style=LGe(e);else if(Cx.stylesNonMapbox[e]){r.style=Cx.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=Cx.styleValueDflt,r.style=LGe(Cx.styleValueDflt);return r.transition={duration:0,delay:0},r}function LGe(e){return Cx.styleUrlPrefix+e+\"-\"+Cx.styleUrlSuffix}function TJ(e){return[e.lon,e.lat]}FGe.exports=RGe});var BGe=ye((lbr,OGe)=>{\"use strict\";var AJ=Pr(),PWt=O_(),IWt=Kd(),qGe=Jk();OGe.exports=function(t,r,n){PWt(t,r,n,{type:\"mapbox\",attributes:qGe,handleDefaults:RWt,partition:\"y\",accessToken:r._mapboxAccessToken})};function RWt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,IWt(e,t,{name:\"layers\",handleItemDefaults:DWt}),t._input=e}function DWt(e,t){function r(l,u){return AJ.coerce(e,t,qGe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",AJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),AJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var l7=ye(Np=>{\"use strict\";var NGe=xJ(),nm=Pr(),SJ=nm.strTranslate,FWt=nm.strScale,zWt=Id().getSubplotCalcData,qWt=Wp(),OWt=Fa(),UGe=So(),BWt=Zl(),NWt=zGe(),Lx=\"mapbox\",ly=Np.constants=y1();Np.name=Lx;Np.attr=\"subplot\";Np.idRoot=Lx;Np.idRegex=Np.attrRegex=nm.counterRegex(Lx);var UWt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Jk();Np.supplyLayoutDefaults=BGe();var VGe=!0;Np.plot=function(t){VGe&&(VGe=!1,nm.warn(UWt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[Lx];if(NGe.version!==ly.requiredVersion)throw new Error(ly.wrongVersionErrorMsg);var a=VWt(t,i);NGe.accessToken=a;for(var o=0;o<i.length;o++){var s=i[o],l=zWt(n,Lx,s),u=r[s],c=u._subplot;c||(c=new NWt(t,s),r[s]._subplot=c),c.viewInitial||(c.viewInitial={center:nm.extendFlat({},u.center),zoom:u.zoom,bearing:u.bearing,pitch:u.pitch}),c.plot(l,r,t._promises)}};Np.clean=function(e,t,r,n){for(var i=n._subplots[Lx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};Np.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Lx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:qWt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=OWt.select(a._subplot.div),f=c.select(\".mapboxgl-ctrl-logo\").node().offsetParent===null;if(!f){var h=t._glimages.append(\"g\");h.attr(\"transform\",SJ(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",ly.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),m=v.append(\"text\");m.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=UGe.bBox(m.node()),p=n.w*(o.x[1]-o.x[0]);if(b.width>p/2){var k=d.split(\"|\").join(\"<br>\");m.text(k).attr(\"data-unformatted\",k).call(BWt.convertToTspans,e),b=UGe.bBox(m.node())}m.attr(\"transform\",SJ(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var M=1;b.width+6>p&&(M=p/(b.width+6));var T=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",SJ(T[0],T[1])+FWt(M))}};function VWt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;GGe(u.style)&&(c?nm.pushUnique(i,c):(GGe(u._input.style)&&(nm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&nm.pushUnique(a,c)}if(s){var f=o?ly.noAccessTokenErrorMsg:ly.missingStyleErrorMsg;throw nm.error(f),new Error(f)}return i.length?(i.length>1&&nm.warn(ly.multipleTokensErrorMsg),i[0]):(a.length&&nm.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}function GGe(e){return typeof e==\"string\"&&(ly.styleValuesMapbox.indexOf(e)!==-1||e.indexOf(\"mapbox://\")===0||e.indexOf(\"stamen\")===0)}Np.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Lx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var jGe=ye((fbr,HGe)=>{\"use strict\";var cbr=[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");HGe.exports={attributes:e7(),supplyDefaults:rGe(),colorbar:Qd(),formatLabels:dJ(),calc:TF(),plot:gGe(),hoverPoints:a7().hoverPoints,eventData:xGe(),selectPoints:wGe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:l7(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var XGe=ye((hbr,WGe)=>{\"use strict\";WGe.exports=jGe()});var MJ=ye((dbr,ZGe)=>{\"use strict\";var _1=l5(),GWt=Tu(),{hovertemplateAttrs:HWt,templatefallbackAttrs:jWt}=Pl(),WWt=Vl(),Px=Ao().extendFlat;ZGe.exports=Px({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Px({},_1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:_1.text,hovertext:_1.hovertext,marker:{line:{color:Px({},_1.marker.line.color,{editType:\"plot\"}),width:Px({},_1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Px({},_1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Px({},_1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Px({},_1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:_1.hoverinfo,hovertemplate:HWt({},{keys:[\"properties\"]}),hovertemplatefallback:jWt(),showlegend:Px({},WWt.showlegend,{dflt:!1})},GWt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KGe=ye((vbr,YGe)=>{\"use strict\";var tC=Pr(),XWt=td(),ZWt=MJ();YGe.exports=function(t,r,n,i){function a(c,f){return tC.coerce(t,r,ZWt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!tC.isArrayOrTypedArray(o)||!o.length||!tC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||tC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),XWt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),tC.coerceSelectionMarkerOpacity(r,a)}});var EJ=ye((pbr,QGe)=>{\"use strict\";var YWt=Eo(),x1=Pr(),KWt=tc(),JWt=So(),$Wt=hx().makeBlank,JGe=ey();function QWt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:$Wt()};if(!r)return a;var o=JGe.extractTraceFeature(e);if(!o)return a;var s=KWt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;x1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var M=k.mo;return YWt(M)?+x1.constrain(M,0,1):0});var f;x1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;x1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],m=v.fOut;if(m){var b=m.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=JGe.feature2polygons(m)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return x1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),x1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},$Ge(e),a}function $Ge(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=JWt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=x1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return x1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),x1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}QGe.exports={convert:QWt,convertOnSelect:$Ge}});var nHe=ye((gbr,iHe)=>{\"use strict\";var tHe=EJ().convert,eXt=EJ().convertOnSelect,eHe=y1().traceLayerPrefix;function rHe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",eHe+t+\"-fill\"],[\"line\",eHe+t+\"-line\"]],this.below=null}var R5=rHe.prototype;R5.update=function(e){this._update(tHe(e)),e[0].trace._glTrace=this};R5.updateOnSelect=function(e){this._update(eXt(e))};R5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};R5._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};R5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};R5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};iHe.exports=function(t,r){var n=r[0].trace,i=new rHe(t,n.uid),a=i.sourceId,o=tHe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var oHe=ye((ybr,aHe)=>{\"use strict\";var mbr=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");aHe.exports={attributes:MJ(),supplyDefaults:KGe(),colorbar:F_(),calc:HF(),plot:nHe(),hoverPoints:WF(),eventData:XF(),selectPoints:ZF(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:l7(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var lHe=ye((_br,sHe)=>{\"use strict\";sHe.exports=oHe()});var CJ=ye((xbr,cHe)=>{\"use strict\";var tXt=Tu(),{hovertemplateAttrs:rXt,templatefallbackAttrs:iXt}=Pl(),uHe=Vl(),u7=e7(),kJ=Ao().extendFlat;cHe.exports=kJ({lon:u7.lon,lat:u7.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:u7.text,hovertext:u7.hovertext,hoverinfo:kJ({},uHe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:rXt(),hovertemplatefallback:iXt(),showlegend:kJ({},uHe.showlegend,{dflt:!1})},tXt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var hHe=ye((bbr,fHe)=>{\"use strict\";var nXt=Pr(),aXt=td(),oXt=CJ();fHe.exports=function(t,r,n,i){function a(u,c){return nXt.coerce(t,r,oXt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),aXt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var pHe=ye((wbr,vHe)=>{\"use strict\";var LJ=Eo(),sXt=Pr().isArrayOrTypedArray,PJ=fs().BADNUM,lXt=gv(),dHe=Pr()._;vHe.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=sXt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=LJ(u)&&LJ(c)?[+u,+c]:[PJ,PJ],o){var f=a[s];l.z=LJ(f)?f:PJ}}return lXt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:dHe(t,\"lat:\")+\" \",lon:dHe(t,\"lon:\")+\" \"}}),i}});var xHe=ye((Tbr,_He)=>{\"use strict\";var uXt=Eo(),IJ=Pr(),gHe=ka(),mHe=tc(),yHe=fs().BADNUM,cXt=hx().makeBlank;_He.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:cXt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=IJ.isArrayOrTypedArray(l)&&l.length,f=IJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==yHe){var v={};if(c){var m=h.z;v.z=m!==yHe?m:0}f&&(v.r=uXt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=mHe.extractOpts(r),p=b.reversescale?mHe.flipScale(b.colorscale):b.colorscale,k=p[0][1],M=gHe.opacity(k)<1?k:gHe.addOpacity(k,0),T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,M];for(s=1;s<p.length;s++)T.push(p[s][0],p[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return IJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var AHe=ye((Abr,THe)=>{\"use strict\";var bHe=xHe(),fXt=y1().traceLayerPrefix;function wHe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",fXt+t+\"-heatmap\"]],this.below=null}var c7=wHe.prototype;c7.update=function(e){var t=this.subplot,r=this.layerList,n=bHe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};c7._addLayers=function(e,t){for(var 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RJ=ye((Fbr,JHe)=>{\"use strict\";var FXt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];JHe.exports={isSupportedFont:function(e){return FXt.indexOf(e)!==-1}}});var eje=ye((zbr,QHe)=>{\"use strict\";var nC=Pr(),DJ=Ru(),zXt=$p(),qXt=D0(),OXt=F0(),BXt=Fg(),$He=h7(),NXt=RJ().isSupportedFont;QHe.exports=function(t,r,n,i){function a(p,k){return nC.coerce(t,r,$He,p,k)}function o(p,k){return nC.coerce2(t,r,$He,p,k)}var s=UXt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),DJ.hasMarkers(r)){zXt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(nC.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),nC.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}DJ.hasLines(r)&&(qXt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,m=a(\"cluster.enabled\",v);if(m||DJ.hasText(r)){var b=i.font.family;OXt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:NXt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&BXt(t,r,n,a),nC.coerceSelectionMarkerOpacity(r,a)};function UXt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var FJ=ye((qbr,rje)=>{\"use strict\";var tje=ho();rje.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=tje.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=tje.tickText(o,o.c2l(s[1]),!0).text,i}});var zJ=ye((Obr,nje)=>{\"use strict\";var ije=Pr();nje.exports=function(t,r){var n=t.split(\" 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p;if((a||o)&&(p=v7.calcTraceToLineCoords(r)),a&&(h.geojson=v7.makePolygon(p),h.layout.visibility=\"visible\",sv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=v7.makeLine(p),d.layout.visibility=\"visible\",sv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var k=KXt(r);v.geojson=k.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":OJ(n.cluster.color,n.cluster.step),\"circle-radius\":OJ(n.cluster.size,n.cluster.step),\"circle-opacity\":OJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":oje(n),\"text-size\":12}}),sv.extendFlat(v.paint,{\"circle-color\":k.mcc,\"circle-radius\":k.mrc,\"circle-opacity\":k.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(m.geojson=JXt(r,t),sv.extendFlat(m.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(sv.extendFlat(m.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&sv.extendFlat(m.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),m.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,sv.extendFlat(m.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var M=(n.marker||{}).size,T=WXt(n.textposition,M);sv.extendFlat(m.layout,{\"text-size\":n.textfont.size,\"text-anchor\":T.anchor,\"text-offset\":T.offset,\"text-font\":oje(n)}),sv.extendFlat(m.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function d7(e){return{type:e,geojson:v7.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function KXt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=sv.isArrayOrTypedArray(r.color),a=sv.isArrayOrTypedArray(r.size),o=sv.isArrayOrTypedArray(r.opacity),s;function l(M){return t.opacity*M}function u(M){return M/2}var c;i&&(aje.hasColorscale(t,\"marker\")?c=aje.makeColorScaleFuncFromTrace(r):c=sv.identity);var f;a&&(f=HXt(t));var h;o&&(h=function(M){var T=sje(M)?+sv.constrain(M,0,1):0;return l(T)});var d=[];for(s=0;s<e.length;s++){var v=e[s],m=v.lonlat;if(!lje(m)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:m},properties:b})}}var p;if(n)for(p=GXt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var k=d[s].properties;p.selectedOpacityFn&&(k.mo=l(p.selectedOpacityFn(k))),p.selectedColorFn&&(k.mcc=p.selectedColorFn(k)),p.selectedSizeFn&&(k.mrc=p.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||p&&p.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||p&&p.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||p&&p.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function JXt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?qJ(a):g7,l=o!==\"auto\"?qJ(o,!0):g7,u=p7.hasText(n)?qJ(n.text):g7,c=[],f=0;f<e.length;f++){var h=e[f];if(!lje(h.lonlat)){var d=n.texttemplate,v;if(d){var m=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),p={};XXt(p,n,h.i),v=sv.texttemplateString({data:[p,h,n._meta],fallback:n.texttemplatefallback,labels:b,locale:r._d3locale,template:m})}else v=u(f);v&&(v=v.replace(ZXt,\"\").replace(YXt,`\n",
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hje(e,t,r,n){this.type=\"scattermap\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:z5+t+\"-fill\",line:z5+t+\"-line\",circle:z5+t+\"-circle\",symbol:z5+t+\"-symbol\",cluster:z5+t+\"-cluster\",clusterCount:z5+t+\"-cluster-count\"},this.below=null}var aC=hje.prototype;aC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&$Xt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};aC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};aC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};aC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=fje(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(M){M||u.addSource(\"circle\",a.circle,r.cluster);for(var T=og.cluster,L=0;L<T.length;L++){var x=T[L],C=a[x];u.addLayer(x,C,o)}}function f(M){for(var T=og.cluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x])}M||i.removeSource(u.sourceIds.circle)}function h(M){for(var T=og.nonCluster,L=0;L<T.length;L++){var x=T[L],C=a[x];M||u.addSource(x,C),u.addLayer(x,C,o)}}function d(M){for(var T=og.nonCluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x]),M||i.removeSource(u.sourceIds[x])}}function v(M){l?f(M):d(M)}function m(M){s?c(M):h(M)}function b(){for(var M=s?og.cluster:og.nonCluster,T=0;T<M.length;T++){var L=M[T],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||m():l!==s?(v(),m()):(this.below!==o&&(v(!0),m(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};aC.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?og.cluster:og.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};dje.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new hje(t,n.uid,i,a),s=fje(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<og.cluster.length;u++)c=og.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<og.nonCluster.length;u++)c=og.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var m7=ye((Ubr,gje)=>{\"use strict\";var QXt=ef(),BJ=Pr(),eZt=xT(),tZt=BJ.fillText,rZt=fs().BADNUM,iZt=Ix().traceLayerPrefix;function nZt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=iZt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(S){return S.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function m(S){var g=S.lonlat;if(g[0]===rZt||c&&l.indexOf(S.i+1)===-1)return 1/0;var P=BJ.modHalf(g[0],360),E=g[1],z=s.project([P,E]),q=z.x-a.c2p([v,E]),V=z.y-o.c2p([P,r]),G=Math.max(3,S.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-G,1-3/G)}if(QXt.getClosest(n,m,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[BJ.modHalf(p[0],360)+d,p[1]],M=a.c2p(k),T=o.c2p(k),L=b.mrc||1;e.x0=M-L,e.x1=M+L,e.y0=T-L,e.y1=T+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=eZt(i,b),e.extraText=pje(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function pje(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&tZt(t,e,u),u.join(\"<br>\")}gje.exports={hoverPoints:nZt,getExtraText:pje}});var yje=ye((Vbr,mje)=>{\"use strict\";mje.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var xje=ye((Gbr,_je)=>{\"use strict\";var 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0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(A):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(A):void 0}).format(this.number.evaluate(A))}eachChild(A){A(this.number),this.locale&&A(this.locale),this.currency&&A(this.currency),this.minFractionDigits&&A(this.minFractionDigits),this.maxFractionDigits&&A(this.maxFractionDigits)}outputDefined(){return!1}}class Yl{constructor(A){this.type=ei,this.sections=A}static parse(A,F){if(A.length<2)return F.error(\"Expected at least one argument.\");let W=A[1];if(!Array.isArray(W)&&typeof W==\"object\")return F.error(\"First argument must be an image or text section.\");let te=[],fe=!1;for(let pe=1;pe<=A.length-1;++pe){let Re=A[pe];if(fe&&typeof Re==\"object\"&&!Array.isArray(Re)){fe=!1;let Ke=null;if(Re[\"font-scale\"]&&(Ke=F.parse(Re[\"font-scale\"],1,dt),!Ke))return null;let ft=null;if(Re[\"text-font\"]&&(ft=F.parse(Re[\"text-font\"],1,Ge(Et)),!ft))return null;let 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F=(180+R[0])/360,W=(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R[1]*Math.PI/360)))/360,te=Math.pow(2,A.z);return[Math.round(F*te*bs),Math.round(W*te*bs)]}function _a(R,A){let F=Math.pow(2,A.z);return[(te=(R[0]/bs+A.x)/F,360*te-180),(W=(R[1]/bs+A.y)/F,360/Math.PI*Math.atan(Math.exp((180-360*W)*Math.PI/180))-90)];var W,te}function Vu(R,A){R[0]=Math.min(R[0],A[0]),R[1]=Math.min(R[1],A[1]),R[2]=Math.max(R[2],A[0]),R[3]=Math.max(R[3],A[1])}function zl(R,A){return!(R[0]<=A[0]||R[2]>=A[2]||R[1]<=A[1]||R[3]>=A[3])}function xo(R,A,F){let W=R[0]-A[0],te=R[1]-A[1],fe=R[0]-F[0],pe=R[1]-F[1];return W*pe-fe*te==0&&W*fe<=0&&te*pe<=0}function Kl(R,A,F,W){return(te=[W[0]-F[0],W[1]-F[1]])[0]*(fe=[A[0]-R[0],A[1]-R[1]])[1]-te[1]*fe[0]!=0&&!(!Oo(R,A,F,W)||!Oo(F,W,R,A));var te,fe}function Ns(R,A,F){for(let W of F)for(let te=0;te<W.length-1;++te)if(Kl(R,A,W[te],W[te+1]))return!0;return!1}function Hl(R,A,F=!1){let W=!1;for(let Re of A)for(let Ke=0;Ke<Re.length-1;Ke++){if(xo(R,Re[Ke],Re[Ke+1]))return 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this.first?(this.first=!1,this.lastIntegerZoom=W,this.lastIntegerZoomTime=0,this.lastZoom=A,this.lastFloorZoom=W,!0):(this.lastFloorZoom>W?(this.lastIntegerZoom=W+1,this.lastIntegerZoomTime=F):this.lastFloorZoom<W&&(this.lastIntegerZoom=W,this.lastIntegerZoomTime=F),A!==this.lastZoom&&(this.lastZoom=A,this.lastFloorZoom=W,!0))}}let Dn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and 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ws=Zo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Ho(R){return!(R!==746&&R!==747&&(R<4352||!(Dn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||Dn[\"CJK Compatibility\"](R)||Dn[\"CJK Strokes\"](R)||!(!Dn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||Dn[\"Enclosed CJK Letters and Months\"](R)||Dn[\"Ideographic Description Characters\"](R)||Dn.Kanbun(R)||Dn.Katakana(R)&&R!==12540||!(!Dn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!Dn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||Dn[\"Vertical Forms\"](R)||Dn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||ws.test(String.fromCodePoint(R)))))}function ml(R){return!(Ho(R)||(function(A){return!!(Dn[\"Latin-1 Supplement\"](A)&&(A===167||A===169||A===174||A===177||A===188||A===189||A===190||A===215||A===247)||Dn[\"General Punctuation\"](A)&&(A===8214||A===8224||A===8225||A===8240||A===8241||A===8251||A===8252||A===8258||A===8263||A===8264||A===8265||A===8273)||Dn[\"Letterlike Symbols\"](A)||Dn[\"Number Forms\"](A)||Dn[\"Miscellaneous Technical\"](A)&&(A>=8960&&A<=8967||A>=8972&&A<=8991||A>=8996&&A<=9e3||A===9003||A>=9085&&A<=9114||A>=9150&&A<=9165||A===9167||A>=9169&&A<=9179||A>=9186&&A<=9215)||Dn[\"Control Pictures\"](A)&&A!==9251||Dn[\"Optical Character Recognition\"](A)||Dn[\"Enclosed Alphanumerics\"](A)||Dn[\"Geometric Shapes\"](A)||Dn[\"Miscellaneous Symbols\"](A)&&!(A>=9754&&A<=9759)||Dn[\"Miscellaneous Symbols and Arrows\"](A)&&(A>=11026&&A<=11055||A>=11088&&A<=11097||A>=11192&&A<=11243)||Dn[\"CJK Symbols and Punctuation\"](A)||Dn.Katakana(A)||Dn[\"Private Use Area\"](A)||Dn[\"CJK Compatibility Forms\"](A)||Dn[\"Small Form 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class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class rs{constructor(A,F){this.zoom=A,F?(this.now=F.now,this.fadeDuration=F.fadeDuration,this.zoomHistory=F.zoomHistory,this.transition=F.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Zn,this.transition={})}isSupportedScript(A){return(function(F,W){for(let te of F)if(!va(te.charCodeAt(0),W))return!1;return!0})(A,ys.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let A=this.zoom,F=A-Math.floor(A),W=this.crossFadingFactor();return A>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:F+(1-F)*W}:{fromScale:.5,toScale:1,t:1-(1-W)*F}}}class Ql{constructor(A,F){this.property=A,this.value=F,this.expression=(function(W,te){if(Wf(W))return new il(W,te);if(Dc(W)){let fe=_u(W,te);if(fe.result===\"error\")throw new Error(fe.value.map((pe=>`${pe.key}: ${pe.message}`)).join(\", \"));return fe.value}{let fe=W;return te.type===\"color\"&&typeof W==\"string\"?fe=ir.parse(W):te.type!==\"padding\"||typeof W!=\"number\"&&!Array.isArray(W)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(W)&&(fe=Hi.parse(W)):fe=$r.parse(W),{kind:\"constant\",evaluate:()=>fe}}})(F===void 0?A.specification.default:F,A.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(A,F,W){return this.property.possiblyEvaluate(this,A,F,W)}}class Cu{constructor(A){this.property=A,this.value=new Ql(A,void 0)}transitioned(A,F){return new Nc(this.property,this.value,F,L({},A.transition,this.transition),A.now)}untransitioned(){return new Nc(this.property,this.value,null,{},0)}}class Yu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitionablePropertyValues)}getValue(A){return g(this._values[A].value.value)}setValue(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].value=new Ql(this._values[A].property,F===null?void 0:g(F))}getTransition(A){return g(this._values[A].transition)}setTransition(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].transition=g(F)||void 0}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W);let te=this.getTransition(F);te!==void 0&&(A[`${F}-transition`]=te)}return A}transitioned(A,F){let W=new pu(this._properties);for(let te of Object.keys(this._values))W._values[te]=this._values[te].transitioned(A,F._values[te]);return W}untransitioned(){let A=new pu(this._properties);for(let F of Object.keys(this._values))A._values[F]=this._values[F].untransitioned();return A}}class Nc{constructor(A,F,W,te,fe){this.property=A,this.value=F,this.begin=fe+te.delay||0,this.end=this.begin+te.duration||0,A.specification.transition&&(te.delay||te.duration)&&(this.prior=W)}possiblyEvaluate(A,F,W){let te=A.now||0,fe=this.value.possiblyEvaluate(A,F,W),pe=this.prior;if(pe){if(te>this.end)return this.prior=null,fe;if(this.value.isDataDriven())return this.prior=null,fe;if(te<this.begin)return pe.possiblyEvaluate(A,F,W);{let Re=(te-this.begin)/(this.end-this.begin);return this.property.interpolate(pe.possiblyEvaluate(A,F,W),fe,(function(Ke){if(Ke<=0)return 0;if(Ke>=1)return 1;let ft=Ke*Ke,Rt=ft*Ke;return 4*(Ke<.5?Rt:3*(Ke-ft)+Rt-.75)})(Re))}}return fe}}class pu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitioningPropertyValues)}possiblyEvaluate(A,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return te}hasTransition(){for(let A of Object.keys(this._values))if(this._values[A].prior)return!0;return!1}}class Uc{constructor(A){this._properties=A,this._values=Object.create(A.defaultPropertyValues)}hasValue(A){return this._values[A].value!==void 0}getValue(A){return g(this._values[A].value)}setValue(A,F){this._values[A]=new Ql(this._values[A].property,F===null?void 0:g(F))}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W)}return A}possiblyEvaluate(A,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return te}}class xu{constructor(A,F,W){this.property=A,this.value=F,this.parameters=W}isConstant(){return this.value.kind===\"constant\"}constantOr(A){return this.value.kind===\"constant\"?this.value.value:A}evaluate(A,F,W,te){return this.property.evaluate(this.value,this.parameters,A,F,W,te)}}class Ac{constructor(A){this._properties=A,this._values=Object.create(A.defaultPossiblyEvaluatedValues)}get(A){return this._values[A]}}class Va{constructor(A){this.specification=A}possiblyEvaluate(A,F){if(A.isDataDriven())throw new Error(\"Value should not be data driven\");return A.expression.evaluate(F)}interpolate(A,F,W){let te=Lo[this.specification.type];return te?te(A,F,W):A}}class oo{constructor(A,F){this.specification=A,this.overrides=F}possiblyEvaluate(A,F,W,te){return new xu(this,A.expression.kind===\"constant\"||A.expression.kind===\"camera\"?{kind:\"constant\",value:A.expression.evaluate(F,null,{},W,te)}:A.expression,F)}interpolate(A,F,W){if(A.value.kind!==\"constant\"||F.value.kind!==\"constant\")return A;if(A.value.value===void 0||F.value.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},A.parameters);let te=Lo[this.specification.type];if(te){let fe=te(A.value.value,F.value.value,W);return new xu(this,{kind:\"constant\",value:fe},A.parameters)}return A}evaluate(A,F,W,te,fe,pe){return A.kind===\"constant\"?A.value:A.evaluate(F,W,te,fe,pe)}}class Vc extends oo{possiblyEvaluate(A,F,W,te){if(A.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},F);if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,te),pe=A.property.specification.type===\"resolvedImage\"&&typeof fe!=\"string\"?fe.name:fe,Re=this._calculate(pe,pe,pe,F);return new xu(this,{kind:\"constant\",value:Re},F)}if(A.expression.kind===\"camera\"){let fe=this._calculate(A.expression.evaluate({zoom:F.zoom-1}),A.expression.evaluate({zoom:F.zoom}),A.expression.evaluate({zoom:F.zoom+1}),F);return new xu(this,{kind:\"constant\",value:fe},F)}return new xu(this,A.expression,F)}evaluate(A,F,W,te,fe,pe){if(A.kind===\"source\"){let Re=A.evaluate(F,W,te,fe,pe);return this._calculate(Re,Re,Re,F)}return A.kind===\"composite\"?this._calculate(A.evaluate({zoom:Math.floor(F.zoom)-1},W,te),A.evaluate({zoom:Math.floor(F.zoom)},W,te),A.evaluate({zoom:Math.floor(F.zoom)+1},W,te),F):A.value}_calculate(A,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class hc{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,te){if(A.value!==void 0){if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,te);return this._calculate(fe,fe,fe,F)}return this._calculate(A.expression.evaluate(new rs(Math.floor(F.zoom-1),F)),A.expression.evaluate(new rs(Math.floor(F.zoom),F)),A.expression.evaluate(new rs(Math.floor(F.zoom+1),F)),F)}}_calculate(A,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class Ku{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,te){return!!A.expression.evaluate(F,null,{},W,te)}interpolate(){return!1}}class ue{constructor(A){this.properties=A,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let F in A){let W=A[F];W.specification.overridable&&this.overridableProperties.push(F);let te=this.defaultPropertyValues[F]=new Ql(W,void 0),fe=this.defaultTransitionablePropertyValues[F]=new Cu(W);this.defaultTransitioningPropertyValues[F]=fe.untransitioned(),this.defaultPossiblyEvaluatedValues[F]=te.possiblyEvaluate({})}}}Fi(\"DataDrivenProperty\",oo),Fi(\"DataConstantProperty\",Va),Fi(\"CrossFadedDataDrivenProperty\",Vc),Fi(\"CrossFadedProperty\",hc),Fi(\"ColorRampProperty\",Ku);let w=\"-transition\";class B extends Pe{constructor(A,F){if(super(),this.id=A.id,this.type=A.type,this._featureFilter={filter:()=>!0,needGeometry:!1},A.type!==\"custom\"&&(this.metadata=A.metadata,this.minzoom=A.minzoom,this.maxzoom=A.maxzoom,A.type!==\"background\"&&(this.source=A.source,this.sourceLayer=A[\"source-layer\"],this.filter=A.filter),F.layout&&(this._unevaluatedLayout=new Uc(F.layout)),F.paint)){this._transitionablePaint=new Yu(F.paint);for(let W in A.paint)this.setPaintProperty(W,A.paint[W],{validate:!1});for(let W in A.layout)this.setLayoutProperty(W,A.layout[W],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ac(F.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(A){return A===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(A)}setLayoutProperty(A,F,W={}){F!=null&&this._validate(On,`layers.${this.id}.layout.${A}`,A,F,W)||(A!==\"visibility\"?this._unevaluatedLayout.setValue(A,F):this.visibility=F)}getPaintProperty(A){return A.endsWith(w)?this._transitionablePaint.getTransition(A.slice(0,-11)):this._transitionablePaint.getValue(A)}setPaintProperty(A,F,W={}){if(F!=null&&this._validate(wn,`layers.${this.id}.paint.${A}`,A,F,W))return!1;if(A.endsWith(w))return this._transitionablePaint.setTransition(A.slice(0,-11),F||void 0),!1;{let te=this._transitionablePaint._values[A],fe=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",pe=te.value.isDataDriven(),Re=te.value;this._transitionablePaint.setValue(A,F),this._handleSpecialPaintPropertyUpdate(A);let Ke=this._transitionablePaint._values[A].value;return Ke.isDataDriven()||pe||fe||this._handleOverridablePaintPropertyUpdate(A,Re,Ke)}}_handleSpecialPaintPropertyUpdate(A){}_handleOverridablePaintPropertyUpdate(A,F,W){return!1}isHidden(A){return!!(this.minzoom&&A<this.minzoom)||!!(this.maxzoom&&A>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(A){this._transitioningPaint=this._transitionablePaint.transitioned(A,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(A,F){A.getCrossfadeParameters&&(this._crossfadeParameters=A.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(A,void 0,F)),this.paint=this._transitioningPaint.possiblyEvaluate(A,void 0,F)}serialize(){let A={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(A.layout=A.layout||{},A.layout.visibility=this.visibility),S(A,((F,W)=>!(F===void 0||W===\"layout\"&&!Object.keys(F).length||W===\"paint\"&&!Object.keys(F).length)))}_validate(A,F,W,te,fe={}){return(!fe||fe.validate!==!1)&&Yi(this,A.call(Mi,{key:F,layerType:this.type,objectKey:W,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let A in this.paint._values){let F=this.paint.get(A);if(F instanceof xu&&Bl(F.property.specification)&&(F.value.kind===\"source\"||F.value.kind===\"composite\")&&F.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(A,F){this._structArray=A,this._pos1=F*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class le{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(A,F){return A._trim(),F&&(A.isTransferred=!0,F.push(A.arrayBuffer)),{length:A.length,arrayBuffer:A.arrayBuffer}}static deserialize(A){let F=Object.create(this.prototype);return F.arrayBuffer=A.arrayBuffer,F.length=A.length,F.capacity=A.arrayBuffer.byteLength/F.bytesPerElement,F._refreshViews(),F}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(A){this.reserve(A),this.length=A}reserve(A){if(A>this.capacity){this.capacity=Math.max(A,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let F=this.uint8;this._refreshViews(),F&&this.uint8.set(F)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function Fe(R,A=1){let F=0,W=0;return{members:R.map((te=>{let fe=Q[te.type].BYTES_PER_ELEMENT,pe=F=Ze(F,Math.max(A,fe)),Re=te.components||1;return W=Math.max(W,fe),F+=fe*Re,{name:te.name,type:te.type,components:Re,offset:pe}})),size:Ze(F,Math.max(W,A)),alignment:A}}function Ze(R,A){return Math.ceil(R/A)*A}class ut extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.int16[te+0]=F,this.int16[te+1]=W,A}}ut.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2i4\",ut);class Mt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.int16[fe+0]=F,this.int16[fe+1]=W,this.int16[fe+2]=te,A}}Mt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3i6\",Mt);class Jt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,te)}emplace(A,F,W,te,fe){let pe=4*A;return this.int16[pe+0]=F,this.int16[pe+1]=W,this.int16[pe+2]=te,this.int16[pe+3]=fe,A}}Jt.prototype.bytesPerElement=8,Fi(\"StructArrayLayout4i8\",Jt);class $t extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=Re,A}}$t.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i4i12\",$t);class yr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=4*A,ft=8*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.uint8[ft+4]=te,this.uint8[ft+5]=fe,this.uint8[ft+6]=pe,this.uint8[ft+7]=Re,A}}yr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2i4ub8\",yr);class Cr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.float32[te+0]=F,this.float32[te+1]=W,A}}Cr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2f8\",Cr);class ve extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=this.length;return this.resize(er+1),this.emplace(er,A,F,W,te,fe,pe,Re,Ke,ft,Rt)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er){let ur=10*A;return this.uint16[ur+0]=F,this.uint16[ur+1]=W,this.uint16[ur+2]=te,this.uint16[ur+3]=fe,this.uint16[ur+4]=pe,this.uint16[ur+5]=Re,this.uint16[ur+6]=Ke,this.uint16[ur+7]=ft,this.uint16[ur+8]=Rt,this.uint16[ur+9]=er,A}}ve.prototype.bytesPerElement=20,Fi(\"StructArrayLayout10ui20\",ve);class xe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=this.length;return this.resize(vr+1),this.emplace(vr,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr){let kr=12*A;return this.int16[kr+0]=F,this.int16[kr+1]=W,this.int16[kr+2]=te,this.int16[kr+3]=fe,this.uint16[kr+4]=pe,this.uint16[kr+5]=Re,this.uint16[kr+6]=Ke,this.uint16[kr+7]=ft,this.int16[kr+8]=Rt,this.int16[kr+9]=er,this.int16[kr+10]=ur,this.int16[kr+11]=vr,A}}xe.prototype.bytesPerElement=24,Fi(\"StructArrayLayout4i4ui4i24\",xe);class Ie extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.float32[fe+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,A}}Ie.prototype.bytesPerElement=12,Fi(\"StructArrayLayout3f12\",Ie);class ze extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint32[1*A+0]=F,A}}ze.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1ul4\",ze);class Qe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft){let Rt=this.length;return this.resize(Rt+1),this.emplace(Rt,A,F,W,te,fe,pe,Re,Ke,ft)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=10*A,ur=5*A;return this.int16[er+0]=F,this.int16[er+1]=W,this.int16[er+2]=te,this.int16[er+3]=fe,this.int16[er+4]=pe,this.int16[er+5]=Re,this.uint32[ur+3]=Ke,this.uint16[er+8]=ft,this.uint16[er+9]=Rt,A}}Qe.prototype.bytesPerElement=20,Fi(\"StructArrayLayout6i1ul2ui20\",Qe);class Xe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=Re,A}}Xe.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i2i2i12\",Xe);class nt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe){let pe=this.length;return this.resize(pe+1),this.emplace(pe,A,F,W,te,fe)}emplace(A,F,W,te,fe,pe){let Re=4*A,Ke=8*A;return this.float32[Re+0]=F,this.float32[Re+1]=W,this.float32[Re+2]=te,this.int16[Ke+6]=fe,this.int16[Ke+7]=pe,A}}nt.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2f1f2i16\",nt);class qt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=16*A,ft=4*A,Rt=8*A;return this.uint8[Ke+0]=F,this.uint8[Ke+1]=W,this.float32[ft+1]=te,this.float32[ft+2]=fe,this.int16[Rt+6]=pe,this.int16[Rt+7]=Re,A}}qt.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2ub2f2i16\",qt);class Wt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.uint16[fe+0]=F,this.uint16[fe+1]=W,this.uint16[fe+2]=te,A}}Wt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3ui6\",Wt);class nr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi){let vn=this.length;return this.resize(vn+1),this.emplace(vn,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn){let zi=24*A,ln=12*A,Tn=48*A;return this.int16[zi+0]=F,this.int16[zi+1]=W,this.uint16[zi+2]=te,this.uint16[zi+3]=fe,this.uint32[ln+2]=pe,this.uint32[ln+3]=Re,this.uint32[ln+4]=Ke,this.uint16[zi+10]=ft,this.uint16[zi+11]=Rt,this.uint16[zi+12]=er,this.float32[ln+7]=ur,this.float32[ln+8]=vr,this.uint8[Tn+36]=kr,this.uint8[Tn+37]=Dr,this.uint8[Tn+38]=li,this.uint32[ln+10]=pi,this.int16[zi+22]=vn,A}}nr.prototype.bytesPerElement=48,Fi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",nr);class fr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo){let lo=this.length;return this.resize(lo+1),this.emplace(lo,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo,lo){let Wn=32*A,Ro=16*A;return this.int16[Wn+0]=F,this.int16[Wn+1]=W,this.int16[Wn+2]=te,this.int16[Wn+3]=fe,this.int16[Wn+4]=pe,this.int16[Wn+5]=Re,this.int16[Wn+6]=Ke,this.int16[Wn+7]=ft,this.uint16[Wn+8]=Rt,this.uint16[Wn+9]=er,this.uint16[Wn+10]=ur,this.uint16[Wn+11]=vr,this.uint16[Wn+12]=kr,this.uint16[Wn+13]=Dr,this.uint16[Wn+14]=li,this.uint16[Wn+15]=pi,this.uint16[Wn+16]=vn,this.uint16[Wn+17]=zi,this.uint16[Wn+18]=ln,this.uint16[Wn+19]=Tn,this.uint16[Wn+20]=pa,this.uint16[Wn+21]=ro,this.uint16[Wn+22]=Vo,this.uint32[Ro+12]=Xa,this.float32[Ro+13]=la,this.float32[Ro+14]=Mo,this.uint16[Wn+30]=fo,this.uint16[Wn+31]=lo,A}}fr.prototype.bytesPerElement=64,Fi(\"StructArrayLayout8i15ui1ul2f2ui64\",fr);class br extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.float32[1*A+0]=F,A}}br.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1f4\",br);class Fr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.uint16[6*A+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,A}}Fr.prototype.bytesPerElement=12,Fi(\"StructArrayLayout1ui2f12\",Fr);class Hr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=4*A;return this.uint32[2*A+0]=F,this.uint16[fe+2]=W,this.uint16[fe+3]=te,A}}Hr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout1ul2ui8\",Hr);class ri extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.uint16[te+0]=F,this.uint16[te+1]=W,A}}ri.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2ui4\",ri);class Ci extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint16[1*A+0]=F,A}}Ci.prototype.bytesPerElement=2,Fi(\"StructArrayLayout1ui2\",Ci);class cn extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,te)}emplace(A,F,W,te,fe){let pe=4*A;return this.float32[pe+0]=F,this.float32[pe+1]=W,this.float32[pe+2]=te,this.float32[pe+3]=fe,A}}cn.prototype.bytesPerElement=16,Fi(\"StructArrayLayout4f16\",cn);class sn extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}sn.prototype.size=20;class Ln extends Qe{get(A){return new sn(this,A)}}Fi(\"CollisionBoxArray\",Ln);class Kn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(A){this._structArray.uint8[this._pos1+37]=A}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(A){this._structArray.uint8[this._pos1+38]=A}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(A){this._structArray.uint32[this._pos4+10]=A}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Kn.prototype.size=48;class Aa extends nr{get(A){return new Kn(this,A)}}Fi(\"PlacedSymbolArray\",Aa);class fa extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(A){this._structArray.uint32[this._pos4+12]=A}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}fa.prototype.size=64;class $a extends fr{get(A){return new fa(this,A)}}Fi(\"SymbolInstanceArray\",$a);class Co extends br{getoffsetX(A){return this.float32[1*A+0]}}Fi(\"GlyphOffsetArray\",Co);class Qa extends Mt{getx(A){return this.int16[3*A+0]}gety(A){return this.int16[3*A+1]}gettileUnitDistanceFromAnchor(A){return this.int16[3*A+2]}}Fi(\"SymbolLineVertexArray\",Qa);class mo extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}mo.prototype.size=12;class Bo extends Fr{get(A){return new mo(this,A)}}Fi(\"TextAnchorOffsetArray\",Bo);class Ps extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ps.prototype.size=8;class Ts extends Hr{get(A){return new Ps(this,A)}}Fi(\"FeatureIndexArray\",Ts);class wo extends ut{}class To extends ut{}class hl extends ut{}class Nl extends $t{}class Lu extends yr{}class au extends Cr{}class Js extends ve{}class eu extends xe{}class dc extends Ie{}class Al extends ze{}class Sl extends Xe{}class X extends qt{}class se extends Wt{}class Te extends ri{}let qe=Fe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:Ve}=qe;class Ye{constructor(A=[]){this.segments=A}prepareSegment(A,F,W,te){let fe=this.segments[this.segments.length-1];return A>Ye.MAX_VERTEX_ARRAY_LENGTH&&E(`Max vertices per segment is ${Ye.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${A}`),(!fe||fe.vertexLength+A>Ye.MAX_VERTEX_ARRAY_LENGTH||fe.sortKey!==te)&&(fe={vertexOffset:F.length,primitiveOffset:W.length,vertexLength:0,primitiveLength:0},te!==void 0&&(fe.sortKey=te),this.segments.push(fe)),fe}get(){return this.segments}destroy(){for(let A of this.segments)for(let F in A.vaos)A.vaos[F].destroy()}static simpleSegment(A,F,W,te){return new Ye([{vertexOffset:A,primitiveOffset:F,vertexLength:W,primitiveLength:te,vaos:{},sortKey:0}])}}function Pt(R,A){return 256*(R=M(Math.floor(R),0,255))+M(Math.floor(A),0,255)}Ye.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Fi(\"SegmentVector\",Ye);let ot=Fe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var Xt={exports:{}},dr={exports:{}};dr.exports=function(R,A){var F,W,te,fe,pe,Re,Ke,ft;for(W=R.length-(F=3&R.length),te=A,pe=3432918353,Re=461845907,ft=0;ft<W;)Ke=255&R.charCodeAt(ft)|(255&R.charCodeAt(++ft))<<8|(255&R.charCodeAt(++ft))<<16|(255&R.charCodeAt(++ft))<<24,++ft,te=27492+(65535&(fe=5*(65535&(te=(te^=Ke=(65535&(Ke=(Ke=(65535&Ke)*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*Re+(((Ke>>>16)*Re&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(fe>>>16)&65535)<<16);switch(Ke=0,F){case 3:Ke^=(255&R.charCodeAt(ft+2))<<16;case 2:Ke^=(255&R.charCodeAt(ft+1))<<8;case 1:te^=Ke=(65535&(Ke=(Ke=(65535&(Ke^=255&R.charCodeAt(ft)))*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*Re+(((Ke>>>16)*Re&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var pr=dr.exports,Ur={exports:{}};Ur.exports=function(R,A){for(var F,W=R.length,te=A^W,fe=0;W>=4;)F=1540483477*(65535&(F=255&R.charCodeAt(fe)|(255&R.charCodeAt(++fe))<<8|(255&R.charCodeAt(++fe))<<16|(255&R.charCodeAt(++fe))<<24))+((1540483477*(F>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(F=1540483477*(65535&(F^=F>>>24))+((1540483477*(F>>>16)&65535)<<16)),W-=4,++fe;switch(W){case 3:te^=(255&R.charCodeAt(fe+2))<<16;case 2:te^=(255&R.charCodeAt(fe+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(fe)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var zr=pr,gi=Ur.exports;Xt.exports=zr,Xt.exports.murmur3=zr,Xt.exports.murmur2=gi;var xi=o(Xt.exports);class Wr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(A,F,W,te){this.ids.push(ii(A)),this.positions.push(F,W,te)}getPositions(A){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let F=ii(A),W=0,te=this.ids.length-1;for(;W<te;){let pe=W+te>>1;this.ids[pe]>=F?te=pe:W=pe+1}let fe=[];for(;this.ids[W]===F;)fe.push({index:this.positions[3*W],start:this.positions[3*W+1],end:this.positions[3*W+2]}),W++;return fe}static serialize(A,F){let W=new Float64Array(A.ids),te=new Uint32Array(A.positions);return di(W,te,0,W.length-1),F&&F.push(W.buffer,te.buffer),{ids:W,positions:te}}static deserialize(A){let F=new Wr;return F.ids=A.ids,F.positions=A.positions,F.indexed=!0,F}}function ii(R){let A=+R;return!isNaN(A)&&A<=Number.MAX_SAFE_INTEGER?A:xi(String(R))}function di(R,A,F,W){for(;F<W;){let te=R[F+W>>1],fe=F-1,pe=W+1;for(;;){do fe++;while(R[fe]<te);do pe--;while(R[pe]>te);if(fe>=pe)break;Li(R,fe,pe),Li(A,3*fe,3*pe),Li(A,3*fe+1,3*pe+1),Li(A,3*fe+2,3*pe+2)}pe-F<W-pe?(di(R,A,F,pe),F=pe+1):(di(R,A,pe+1,W),W=pe)}}function Li(R,A,F){let W=R[A];R[A]=R[F],R[F]=W}Fi(\"FeaturePositionMap\",Wr);class Ti{constructor(A,F){this.gl=A.gl,this.location=F}}class Qr extends Ti{constructor(A,F){super(A,F),this.current=0}set(A){this.current!==A&&(this.current=A,this.gl.uniform1f(this.location,A))}}class Pn extends Ti{constructor(A,F){super(A,F),this.current=[0,0,0,0]}set(A){A[0]===this.current[0]&&A[1]===this.current[1]&&A[2]===this.current[2]&&A[3]===this.current[3]||(this.current=A,this.gl.uniform4f(this.location,A[0],A[1],A[2],A[3]))}}class kn extends Ti{constructor(A,F){super(A,F),this.current=ir.transparent}set(A){A.r===this.current.r&&A.g===this.current.g&&A.b===this.current.b&&A.a===this.current.a||(this.current=A,this.gl.uniform4f(this.location,A.r,A.g,A.b,A.a))}}let Bn=new Float32Array(16);function na(R){return[Pt(255*R.r,255*R.g),Pt(255*R.b,255*R.a)]}class Ea{constructor(A,F,W){this.value=A,this.uniformNames=F.map((te=>`u_${te}`)),this.type=W}setUniform(A,F,W){A.set(W.constantOr(this.value))}getBinding(A,F,W){return this.type===\"color\"?new kn(A,F):new Qr(A,F)}}class Ia{constructor(A,F){this.uniformNames=F.map((W=>`u_${W}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(A,F){this.pixelRatioFrom=F.pixelRatio,this.pixelRatioTo=A.pixelRatio,this.patternFrom=F.tlbr,this.patternTo=A.tlbr}setUniform(A,F,W,te){let fe=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;fe&&A.set(fe)}getBinding(A,F,W){return W.substr(0,9)===\"u_pattern\"?new Pn(A,F):new Qr(A,F)}}class yo{constructor(A,F,W,te){this.expression=A,this.type=W,this.maxValue=0,this.paintVertexAttributes=F.map((fe=>({name:`a_${fe}`,type:\"Float32\",components:W===\"color\"?2:1,offset:0}))),this.paintVertexArray=new te}populatePaintArray(A,F,W,te,fe){let pe=this.paintVertexArray.length,Re=this.expression.evaluate(new rs(0),F,{},te,[],fe);this.paintVertexArray.resize(A),this._setPaintValue(pe,A,Re)}updatePaintArray(A,F,W,te){let fe=this.expression.evaluate({zoom:0},W,te);this._setPaintValue(A,F,fe)}_setPaintValue(A,F,W){if(this.type===\"color\"){let te=na(W);for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,te[0],te[1])}else{for(let te=A;te<F;te++)this.paintVertexArray.emplace(te,W);this.maxValue=Math.max(this.maxValue,Math.abs(W))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Da{constructor(A,F,W,te,fe,pe){this.expression=A,this.uniformNames=F.map((Re=>`u_${Re}_t`)),this.type=W,this.useIntegerZoom=te,this.zoom=fe,this.maxValue=0,this.paintVertexAttributes=F.map((Re=>({name:`a_${Re}`,type:\"Float32\",components:W===\"color\"?4:2,offset:0}))),this.paintVertexArray=new pe}populatePaintArray(A,F,W,te,fe){let pe=this.expression.evaluate(new rs(this.zoom),F,{},te,[],fe),Re=this.expression.evaluate(new rs(this.zoom+1),F,{},te,[],fe),Ke=this.paintVertexArray.length;this.paintVertexArray.resize(A),this._setPaintValue(Ke,A,pe,Re)}updatePaintArray(A,F,W,te){let fe=this.expression.evaluate({zoom:this.zoom},W,te),pe=this.expression.evaluate({zoom:this.zoom+1},W,te);this._setPaintValue(A,F,fe,pe)}_setPaintValue(A,F,W,te){if(this.type===\"color\"){let fe=na(W),pe=na(te);for(let Re=A;Re<F;Re++)this.paintVertexArray.emplace(Re,fe[0],fe[1],pe[0],pe[1])}else{for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,W,te);this.maxValue=Math.max(this.maxValue,Math.abs(W),Math.abs(te))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(A,F){let W=this.useIntegerZoom?Math.floor(F.zoom):F.zoom,te=M(this.expression.interpolationFactor(W,this.zoom,this.zoom+1),0,1);A.set(te)}getBinding(A,F,W){return new Qr(A,F)}}class go{constructor(A,F,W,te,fe,pe){this.expression=A,this.type=F,this.useIntegerZoom=W,this.zoom=te,this.layerId=pe,this.zoomInPaintVertexArray=new fe,this.zoomOutPaintVertexArray=new fe}populatePaintArray(A,F,W){let te=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(A),this.zoomOutPaintVertexArray.resize(A),this._setPaintValues(te,A,F.patterns&&F.patterns[this.layerId],W)}updatePaintArray(A,F,W,te,fe){this._setPaintValues(A,F,W.patterns&&W.patterns[this.layerId],fe)}_setPaintValues(A,F,W,te){if(!te||!W)return;let{min:fe,mid:pe,max:Re}=W,Ke=te[fe],ft=te[pe],Rt=te[Re];if(Ke&&ft&&Rt)for(let er=A;er<F;er++)this.zoomInPaintVertexArray.emplace(er,ft.tl[0],ft.tl[1],ft.br[0],ft.br[1],Ke.tl[0],Ke.tl[1],Ke.br[0],Ke.br[1],ft.pixelRatio,Ke.pixelRatio),this.zoomOutPaintVertexArray.emplace(er,ft.tl[0],ft.tl[1],ft.br[0],ft.br[1],Rt.tl[0],Rt.tl[1],Rt.br[0],Rt.br[1],ft.pixelRatio,Rt.pixelRatio)}upload(A){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=A.createVertexBuffer(this.zoomInPaintVertexArray,ot.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=A.createVertexBuffer(this.zoomOutPaintVertexArray,ot.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Is{constructor(A,F,W){this.binders={},this._buffers=[];let te=[];for(let fe in A.paint._values){if(!W(fe))continue;let pe=A.paint.get(fe);if(!(pe instanceof xu&&Bl(pe.property.specification)))continue;let Re=Xs(fe,A.type),Ke=pe.value,ft=pe.property.specification.type,Rt=pe.property.useIntegerZoom,er=pe.property.specification[\"property-type\"],ur=er===\"cross-faded\"||er===\"cross-faded-data-driven\";if(Ke.kind===\"constant\")this.binders[fe]=ur?new Ia(Ke.value,Re):new Ea(Ke.value,Re,ft),te.push(`/u_${fe}`);else if(Ke.kind===\"source\"||ur){let vr=Un(fe,ft,\"source\");this.binders[fe]=ur?new go(Ke,ft,Rt,F,vr,A.id):new yo(Ke,Re,ft,vr),te.push(`/a_${fe}`)}else{let vr=Un(fe,ft,\"composite\");this.binders[fe]=new Da(Ke,Re,ft,Rt,F,vr),te.push(`/z_${fe}`)}}this.cacheKey=te.sort().join(\"\")}getMaxValue(A){let F=this.binders[A];return F instanceof yo||F instanceof Da?F.maxValue:0}populatePaintArrays(A,F,W,te,fe){for(let pe in this.binders){let Re=this.binders[pe];(Re instanceof yo||Re instanceof Da||Re instanceof go)&&Re.populatePaintArray(A,F,W,te,fe)}}setConstantPatternPositions(A,F){for(let W in this.binders){let te=this.binders[W];te instanceof Ia&&te.setConstantPatternPositions(A,F)}}updatePaintArrays(A,F,W,te,fe){let pe=!1;for(let Re in A){let Ke=F.getPositions(Re);for(let ft of Ke){let Rt=W.feature(ft.index);for(let er in this.binders){let ur=this.binders[er];if((ur instanceof yo||ur instanceof Da||ur instanceof go)&&ur.expression.isStateDependent===!0){let vr=te.paint.get(er);ur.expression=vr.value,ur.updatePaintArray(ft.start,ft.end,Rt,A[Re],fe),pe=!0}}}}return pe}defines(){let A=[];for(let F in this.binders){let W=this.binders[F];(W instanceof Ea||W instanceof Ia)&&A.push(...W.uniformNames.map((te=>`#define HAS_UNIFORM_${te}`)))}return A}getBinderAttributes(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof yo||W instanceof Da)for(let te=0;te<W.paintVertexAttributes.length;te++)A.push(W.paintVertexAttributes[te].name);else if(W instanceof go)for(let te=0;te<ot.members.length;te++)A.push(ot.members[te].name)}return A}getBinderUniforms(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof Ea||W instanceof Ia||W instanceof Da)for(let te of W.uniformNames)A.push(te)}return A}getPaintVertexBuffers(){return this._buffers}getUniforms(A,F){let W=[];for(let te in this.binders){let fe=this.binders[te];if(fe instanceof Ea||fe instanceof Ia||fe instanceof Da){for(let pe of fe.uniformNames)if(F[pe]){let Re=fe.getBinding(A,F[pe],pe);W.push({name:pe,property:te,binding:Re})}}}return W}setUniforms(A,F,W,te){for(let{name:fe,property:pe,binding:Re}of F)this.binders[pe].setUniform(Re,te,W.get(pe),fe)}updatePaintBuffers(A){this._buffers=[];for(let F in this.binders){let W=this.binders[F];if(A&&W instanceof go){let te=A.fromScale===2?W.zoomInPaintVertexBuffer:W.zoomOutPaintVertexBuffer;te&&this._buffers.push(te)}else(W instanceof yo||W instanceof Da)&&W.paintVertexBuffer&&this._buffers.push(W.paintVertexBuffer)}}upload(A){for(let F in this.binders){let W=this.binders[F];(W instanceof yo||W instanceof Da||W instanceof go)&&W.upload(A)}this.updatePaintBuffers()}destroy(){for(let A in this.binders){let F=this.binders[A];(F instanceof yo||F instanceof Da||F instanceof go)&&F.destroy()}}}class Ms{constructor(A,F,W=(()=>!0)){this.programConfigurations={};for(let te of A)this.programConfigurations[te.id]=new Is(te,F,W);this.needsUpload=!1,this._featureMap=new Wr,this._bufferOffset=0}populatePaintArrays(A,F,W,te,fe,pe){for(let Re in this.programConfigurations)this.programConfigurations[Re].populatePaintArrays(A,F,te,fe,pe);F.id!==void 0&&this._featureMap.add(F.id,W,this._bufferOffset,A),this._bufferOffset=A,this.needsUpload=!0}updatePaintArrays(A,F,W,te){for(let fe of W)this.needsUpload=this.programConfigurations[fe.id].updatePaintArrays(A,this._featureMap,F,fe,te)||this.needsUpload}get(A){return this.programConfigurations[A]}upload(A){if(this.needsUpload){for(let F in this.programConfigurations)this.programConfigurations[F].upload(A);this.needsUpload=!1}}destroy(){for(let A in 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er=[];for(W=0;W<Ke.length;W++)er[W]=Ke[W][0];Rt(Ke=er);break;case 2:for(W=0;W<Ke.length;W++)Rt(Ke[W]);break;case 3:for(Ke=(function(vr){var kr=vr.length;if(kr<=1)return[vr];for(var Dr,li,pi=[],vn=0;vn<kr;vn++){var zi=gn(vr[vn]);zi!==0&&(li===void 0&&(li=zi<0),li===zi<0?(Dr&&pi.push(Dr),Dr=[vr[vn]]):Dr.push(vr[vn]))}return Dr&&pi.push(Dr),pi})(Ke),W=0;W<Ke.length;W++)for(te=0;te<Ke[W].length;te++)Rt(Ke[W][te])}Ke.length===1?Ke=Ke[0]:ft=\"Multi\"+ft;var ur={type:\"Feature\",geometry:{type:ft,coordinates:Ke},properties:this.properties};return\"id\"in this&&(ur.id=this.id),ur};var tn=Di,Ei=Oi;function Oi(R,A){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=R,this._keys=[],this._values=[],this._features=[],R.readFields(Gi,this,A),this.length=this._features.length}function Gi(R,A,F){R===15?A.version=F.readVarint():R===1?A.name=F.readString():R===5?A.extent=F.readVarint():R===2?A._features.push(F.pos):R===3?A._keys.push(F.readString()):R===4&&A._values.push((function(W){for(var te=null,fe=W.readVarint()+W.pos;W.pos<fe;){var pe=W.readVarint()>>3;te=pe===1?W.readString():pe===2?W.readFloat():pe===3?W.readDouble():pe===4?W.readVarint64():pe===5?W.readVarint():pe===6?W.readSVarint():pe===7?W.readBoolean():null}return te})(F))}Oi.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var A=this._pbf.readVarint()+this._pbf.pos;return new tn(this._pbf,A,this.extent,this._keys,this._values)};var on=Ei;function zn(R,A,F){if(R===3){var W=new on(F,F.readVarint()+F.pos);W.length&&(A[W.name]=W)}}_r.VectorTile=function(R,A){this.layers=R.readFields(zn,{},A)},_r.VectorTileFeature=Di,_r.VectorTileLayer=Ei;let Ja=_r.VectorTileFeature.types,co=Math.pow(2,13);function ts(R,A,F,W,te,fe,pe,Re){R.emplaceBack(A,F,2*Math.floor(W*co)+pe,te*co*2,fe*co*2,Math.round(Re))}class so{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((F=>F.id)),this.index=A.index,this.hasPattern=!1,this.layoutVertexArray=new Nl,this.centroidVertexArray=new wo,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.stateDependentLayerIds=this.layers.filter((F=>F.isStateDependent())).map((F=>F.id))}populate(A,F,W){this.features=[],this.hasPattern=st(\"fill-extrusion\",this.layers,F);for(let{feature:te,id:fe,index:pe,sourceLayerIndex:Re}of A){let Ke=this.layers[0]._featureFilter.needGeometry,ft=Ml(te,Ke);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ft,W))continue;let Rt={id:fe,sourceLayerIndex:Re,index:pe,geometry:Ke?ft.geometry:$s(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(It(\"fill-extrusion\",this.layers,Rt,this.zoom,F)):this.addFeature(Rt,Rt.geometry,pe,W,{}),F.featureIndex.insert(te,Rt.geometry,pe,Re,this.index,!0)}}addFeatures(A,F,W){for(let te of this.features){let{geometry:fe}=te;this.addFeature(te,fe,te.index,F,W)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,lr),this.centroidVertexBuffer=A.createVertexBuffer(this.centroidVertexArray,vt.members,!0),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(A,F,W,te,fe){for(let pe of Cf(F,500)){let Re={x:0,y:0,vertexCount:0},Ke=0;for(let kr of pe)Ke+=kr.length;let ft=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let kr of pe){if(kr.length===0||ms(kr))continue;let Dr=0;for(let li=0;li<kr.length;li++){let pi=kr[li];if(li>=1){let vn=kr[li-1];if(!Yo(pi,vn)){ft.vertexLength+4>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ft=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let zi=pi.sub(vn)._perp()._unit(),ln=vn.dist(pi);Dr+ln>32768&&(Dr=0),ts(this.layoutVertexArray,pi.x,pi.y,zi.x,zi.y,0,0,Dr),ts(this.layoutVertexArray,pi.x,pi.y,zi.x,zi.y,0,1,Dr),Re.x+=2*pi.x,Re.y+=2*pi.y,Re.vertexCount+=2,Dr+=ln,ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,0,Dr),ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,1,Dr),Re.x+=2*vn.x,Re.y+=2*vn.y,Re.vertexCount+=2;let Tn=ft.vertexLength;this.indexArray.emplaceBack(Tn,Tn+2,Tn+1),this.indexArray.emplaceBack(Tn+1,Tn+2,Tn+3),ft.vertexLength+=4,ft.primitiveLength+=2}}}}if(ft.vertexLength+Ke>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ft=this.segments.prepareSegment(Ke,this.layoutVertexArray,this.indexArray)),Ja[A.type]!==\"Polygon\")continue;let Rt=[],er=[],ur=ft.vertexLength;for(let kr of pe)if(kr.length!==0){kr!==pe[0]&&er.push(Rt.length/2);for(let Dr=0;Dr<kr.length;Dr++){let li=kr[Dr];ts(this.layoutVertexArray,li.x,li.y,0,0,1,1,0),Re.x+=li.x,Re.y+=li.y,Re.vertexCount+=1,Rt.push(li.x),Rt.push(li.y)}}let vr=zo(Rt,er);for(let kr=0;kr<vr.length;kr+=3)this.indexArray.emplaceBack(ur+vr[kr],ur+vr[kr+2],ur+vr[kr+1]);ft.primitiveLength+=vr.length/3,ft.vertexLength+=Ke;for(let kr=0;kr<Re.vertexCount;kr++){let Dr=Math.floor(Re.x/Re.vertexCount),li=Math.floor(Re.y/Re.vertexCount);this.centroidVertexArray.emplaceBack(Dr,li)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,te)}}function Yo(R,A){return R.x===A.x&&(R.x<0||R.x>ja)||R.y===A.y&&(R.y<0||R.y>ja)}function ms(R){return R.every((A=>A.x<0))||R.every((A=>A.x>ja))||R.every((A=>A.y<0))||R.every((A=>A.y>ja))}let ou;Fi(\"FillExtrusionBucket\",so,{omit:[\"layers\",\"features\"]});var Cv={get paint(){return ou=ou||new ue({\"fill-extrusion-opacity\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Lv extends B{constructor(A){super(A,Cv)}createBucket(A){return new so(A)}queryRadius(){return Vn(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(A,F,W,te,fe,pe,Re,Ke){let ft=Qi(A,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),pe.angle,Re),Rt=this.paint.get(\"fill-extrusion-height\").evaluate(F,W),er=this.paint.get(\"fill-extrusion-base\").evaluate(F,W),ur=(function(kr,Dr,li,pi){let vn=[];for(let zi of kr){let ln=[zi.x,zi.y,0,1];qn(ln,ln,Dr),vn.push(new u(ln[0]/ln[3],ln[1]/ln[3]))}return vn})(ft,Ke),vr=(function(kr,Dr,li,pi){let vn=[],zi=[],ln=pi[8]*Dr,Tn=pi[9]*Dr,pa=pi[10]*Dr,ro=pi[11]*Dr,Vo=pi[8]*li,Xa=pi[9]*li,la=pi[10]*li,Mo=pi[11]*li;for(let fo of kr){let lo=[],Wn=[];for(let Ro of fo){let uo=Ro.x,$o=Ro.y,Ju=pi[0]*uo+pi[4]*$o+pi[12],Ou=pi[1]*uo+pi[5]*$o+pi[13],kh=pi[2]*uo+pi[6]*$o+pi[14],Qv=pi[3]*uo+pi[7]*$o+pi[15],ud=kh+pa,Ch=Qv+ro,Gd=Ju+Vo,Hd=Ou+Xa,jd=kh+la,Af=Qv+Mo,Lh=new u((Ju+ln)/Ch,(Ou+Tn)/Ch);Lh.z=ud/Ch,lo.push(Lh);let Ed=new u(Gd/Af,Hd/Af);Ed.z=jd/Af,Wn.push(Ed)}vn.push(lo),zi.push(Wn)}return[vn,zi]})(te,er,Rt,Ke);return(function(kr,Dr,li){let pi=1/0;bt(li,Dr)&&(pi=Kv(li,Dr[0]));for(let vn=0;vn<Dr.length;vn++){let zi=Dr[vn],ln=kr[vn];for(let Tn=0;Tn<zi.length-1;Tn++){let pa=zi[Tn],ro=[pa,zi[Tn+1],ln[Tn+1],ln[Tn],pa];Sc(li,ro)&&(pi=Math.min(pi,Kv(li,ro)))}}return pi!==1/0&&pi})(vr[0],vr[1],ur)}}function wd(R,A){return R.x*A.x+R.y*A.y}function Kv(R,A){if(R.length===1){let F=0,W=A[F++],te;for(;!te||W.equals(te);)if(te=A[F++],!te)return 1/0;for(;F<A.length;F++){let fe=A[F],pe=R[0],Re=te.sub(W),Ke=fe.sub(W),ft=pe.sub(W),Rt=wd(Re,Re),er=wd(Re,Ke),ur=wd(Ke,Ke),vr=wd(ft,Re),kr=wd(ft,Ke),Dr=Rt*ur-er*er,li=(ur*vr-er*kr)/Dr,pi=(Rt*kr-er*vr)/Dr,vn=W.z*(1-li-pi)+te.z*li+fe.z*pi;if(isFinite(vn))return vn}return 1/0}{let F=1/0;for(let W of A)F=Math.min(F,W.z);return F}}let hg=Fe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:gp}=hg,Td=Fe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:mp}=Td,Vd=_r.VectorTileFeature.types,Ad=Math.cos(Math.PI/180*37.5),Pv=Math.pow(2,14)/.5;class Jv{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((F=>F.id)),this.index=A.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((F=>{this.gradients[F.id]={}})),this.layoutVertexArray=new Lu,this.layoutVertexArray2=new au,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((F=>F.isStateDependent())).map((F=>F.id))}populate(A,F,W){this.hasPattern=st(\"line\",this.layers,F);let te=this.layers[0].layout.get(\"line-sort-key\"),fe=!te.isConstant(),pe=[];for(let{feature:Re,id:Ke,index:ft,sourceLayerIndex:Rt}of A){let er=this.layers[0]._featureFilter.needGeometry,ur=Ml(Re,er);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ur,W))continue;let vr=fe?te.evaluate(ur,{},W):void 0,kr={id:Ke,properties:Re.properties,type:Re.type,sourceLayerIndex:Rt,index:ft,geometry:er?ur.geometry:$s(Re),patterns:{},sortKey:vr};pe.push(kr)}fe&&pe.sort(((Re,Ke)=>Re.sortKey-Ke.sortKey));for(let Re of pe){let{geometry:Ke,index:ft,sourceLayerIndex:Rt}=Re;if(this.hasPattern){let er=It(\"line\",this.layers,Re,this.zoom,F);this.patternFeatures.push(er)}else this.addFeature(Re,Ke,ft,W,{});F.featureIndex.insert(A[ft].feature,Ke,ft,Rt,this.index)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}addFeatures(A,F,W){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,F,W)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=A.createVertexBuffer(this.layoutVertexArray2,mp)),this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,gp),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(A){if(A.properties&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_end\"))return{start:+A.properties.mapbox_clip_start,end:+A.properties.mapbox_clip_end}}addFeature(A,F,W,te,fe){let pe=this.layers[0].layout,Re=pe.get(\"line-join\").evaluate(A,{}),Ke=pe.get(\"line-cap\"),ft=pe.get(\"line-miter-limit\"),Rt=pe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(A);for(let er of F)this.addLine(er,A,Re,Ke,ft,Rt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,te)}addLine(A,F,W,te,fe,pe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let pi=0;pi<A.length-1;pi++)this.totalDistance+=A[pi].dist(A[pi+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let Re=Vd[F.type]===\"Polygon\",Ke=A.length;for(;Ke>=2&&A[Ke-1].equals(A[Ke-2]);)Ke--;let ft=0;for(;ft<Ke-1&&A[ft].equals(A[ft+1]);)ft++;if(Ke<(Re?3:2))return;W===\"bevel\"&&(fe=1.05);let Rt=this.overscaling<=16?15*ja/(512*this.overscaling):0,er=this.segments.prepareSegment(10*Ke,this.layoutVertexArray,this.indexArray),ur,vr,kr,Dr,li;this.e1=this.e2=-1,Re&&(ur=A[Ke-2],li=A[ft].sub(ur)._unit()._perp());for(let pi=ft;pi<Ke;pi++){if(kr=pi===Ke-1?Re?A[ft+1]:void 0:A[pi+1],kr&&A[pi].equals(kr))continue;li&&(Dr=li),ur&&(vr=ur),ur=A[pi],li=kr?kr.sub(ur)._unit()._perp():Dr,Dr=Dr||li;let vn=Dr.add(li);vn.x===0&&vn.y===0||vn._unit();let zi=Dr.x*li.x+Dr.y*li.y,ln=vn.x*li.x+vn.y*li.y,Tn=ln!==0?1/ln:1/0,pa=2*Math.sqrt(2-2*ln),ro=ln<Ad&&vr&&kr,Vo=Dr.x*li.y-Dr.y*li.x>0;if(ro&&pi>ft){let Mo=ur.dist(vr);if(Mo>2*Rt){let fo=ur.sub(ur.sub(vr)._mult(Rt/Mo)._round());this.updateDistance(vr,fo),this.addCurrentVertex(fo,Dr,0,0,er),vr=fo}}let Xa=vr&&kr,la=Xa?W:Re?\"butt\":te;if(Xa&&la===\"round\"&&(Tn<pe?la=\"miter\":Tn<=2&&(la=\"fakeround\")),la===\"miter\"&&Tn>fe&&(la=\"bevel\"),la===\"bevel\"&&(Tn>2&&(la=\"flipbevel\"),Tn<fe&&(la=\"miter\")),vr&&this.updateDistance(vr,ur),la===\"miter\")vn._mult(Tn),this.addCurrentVertex(ur,vn,0,0,er);else if(la===\"flipbevel\"){if(Tn>100)vn=li.mult(-1);else{let Mo=Tn*Dr.add(li).mag()/Dr.sub(li).mag();vn._perp()._mult(Mo*(Vo?-1:1))}this.addCurrentVertex(ur,vn,0,0,er),this.addCurrentVertex(ur,vn.mult(-1),0,0,er)}else if(la===\"bevel\"||la===\"fakeround\"){let Mo=-Math.sqrt(Tn*Tn-1),fo=Vo?Mo:0,lo=Vo?0:Mo;if(vr&&this.addCurrentVertex(ur,Dr,fo,lo,er),la===\"fakeround\"){let Wn=Math.round(180*pa/Math.PI/20);for(let Ro=1;Ro<Wn;Ro++){let uo=Ro/Wn;if(uo!==.5){let Ju=uo-.5;uo+=uo*Ju*(uo-1)*((1.0904+zi*(zi*(3.55645-1.43519*zi)-3.2452))*Ju*Ju+(.848013+zi*(.215638*zi-1.06021)))}let $o=li.sub(Dr)._mult(uo)._add(Dr)._unit()._mult(Vo?-1:1);this.addHalfVertex(ur,$o.x,$o.y,!1,Vo,0,er)}}kr&&this.addCurrentVertex(ur,li,-fo,-lo,er)}else if(la===\"butt\")this.addCurrentVertex(ur,vn,0,0,er);else if(la===\"square\"){let Mo=vr?1:-1;this.addCurrentVertex(ur,vn,Mo,Mo,er)}else la===\"round\"&&(vr&&(this.addCurrentVertex(ur,Dr,0,0,er),this.addCurrentVertex(ur,Dr,1,1,er,!0)),kr&&(this.addCurrentVertex(ur,li,-1,-1,er,!0),this.addCurrentVertex(ur,li,0,0,er)));if(ro&&pi<Ke-1){let Mo=ur.dist(kr);if(Mo>2*Rt){let fo=ur.add(kr.sub(ur)._mult(Rt/Mo)._round());this.updateDistance(ur,fo),this.addCurrentVertex(fo,li,0,0,er),ur=fo}}}}addCurrentVertex(A,F,W,te,fe,pe=!1){let Re=F.y*te-F.x,Ke=-F.y-F.x*te;this.addHalfVertex(A,F.x+F.y*W,F.y-F.x*W,pe,!1,W,fe),this.addHalfVertex(A,Re,Ke,pe,!0,-te,fe),this.distance>Pv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(A,F,W,te,fe,pe))}addHalfVertex({x:A,y:F},W,te,fe,pe,Re,Ke){let ft=.5*(this.lineClips?this.scaledDistance*(Pv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((A<<1)+(fe?1:0),(F<<1)+(pe?1:0),Math.round(63*W)+128,Math.round(63*te)+128,1+(Re===0?0:Re<0?-1:1)|(63&ft)<<2,ft>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Rt=Ke.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Rt),Ke.primitiveLength++),pe?this.e2=Rt:this.e1=Rt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(A,F){this.distance+=A.dist(F),this.updateScaledDistance()}}let Iv,dy;Fi(\"LineBucket\",Jv,{omit:[\"layers\",\"patternFeatures\"]});var dg={get paint(){return dy=dy||new ue({\"line-opacity\":new oo(ce.paint_line[\"line-opacity\"]),\"line-color\":new oo(ce.paint_line[\"line-color\"]),\"line-translate\":new Va(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Va(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new oo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new oo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new oo(ce.paint_line[\"line-offset\"]),\"line-blur\":new oo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new hc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new Ku(ce.paint_line[\"line-gradient\"])})},get layout(){return Iv=Iv||new ue({\"line-cap\":new Va(ce.layout_line[\"line-cap\"]),\"line-join\":new oo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Va(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Va(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new oo(ce.layout_line[\"line-sort-key\"])})}};class oh extends oo{possiblyEvaluate(A,F){return F=new rs(Math.floor(F.zoom),{now:F.now,fadeDuration:F.fadeDuration,zoomHistory:F.zoomHistory,transition:F.transition}),super.possiblyEvaluate(A,F)}evaluate(A,F,W,te){return F=L({},F,{zoom:Math.floor(F.zoom)}),super.evaluate(A,F,W,te)}}let vg;class vy extends B{constructor(A){super(A,dg),this.gradientVersion=0,vg||(vg=new oh(dg.paint.properties[\"line-width\"].specification),vg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(A){if(A===\"line-gradient\"){let F=this.gradientExpression();this.stepInterpolant=!!(function(W){return W._styleExpression!==void 0})(F)&&F._styleExpression.expression instanceof _n,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(A,F){super.recalculate(A,F),this.paint._values[\"line-floorwidth\"]=vg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,A)}createBucket(A){return new Jv(A)}queryRadius(A){let F=A,W=Zh(Si(\"line-width\",this,F),Si(\"line-gap-width\",this,F)),te=Si(\"line-offset\",this,F);return W/2+Math.abs(te)+Vn(this.paint.get(\"line-translate\"))}queryIntersectsFeature(A,F,W,te,fe,pe,Re){let Ke=Qi(A,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),pe.angle,Re),ft=Re/2*Zh(this.paint.get(\"line-width\").evaluate(F,W),this.paint.get(\"line-gap-width\").evaluate(F,W)),Rt=this.paint.get(\"line-offset\").evaluate(F,W);return Rt&&(te=(function(er,ur){let vr=[];for(let kr=0;kr<er.length;kr++){let Dr=er[kr],li=[];for(let pi=0;pi<Dr.length;pi++){let vn=Dr[pi-1],zi=Dr[pi],ln=Dr[pi+1],Tn=pi===0?new u(0,0):zi.sub(vn)._unit()._perp(),pa=pi===Dr.length-1?new u(0,0):ln.sub(zi)._unit()._perp(),ro=Tn._add(pa)._unit(),Vo=ro.x*pa.x+ro.y*pa.y;Vo!==0&&ro._mult(1/Vo),li.push(ro._mult(ur)._add(zi))}vr.push(li)}return vr})(te,Rt*Re)),(function(er,ur,vr){for(let kr=0;kr<ur.length;kr++){let Dr=ur[kr];if(er.length>=3){for(let 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zC(R,A){let{expression:F}=A;if(F.kind===\"constant\")return{kind:\"constant\",layoutSize:F.evaluate(new rs(R+1))};if(F.kind===\"source\")return{kind:\"source\"};{let{zoomStops:W,interpolationType:te}=F,fe=0;for(;fe<W.length&&W[fe]<=R;)fe++;fe=Math.max(0,fe-1);let pe=fe;for(;pe<W.length&&W[pe]<R+1;)pe++;pe=Math.min(W.length-1,pe);let Re=W[fe],Ke=W[pe];return F.kind===\"composite\"?{kind:\"composite\",minZoom:Re,maxZoom:Ke,interpolationType:te}:{kind:\"camera\",minZoom:Re,maxZoom:Ke,minSize:F.evaluate(new rs(Re)),maxSize:F.evaluate(new rs(Ke)),interpolationType:te}}}function vS(R,A,F){let W=\"never\",te=R.get(A);return te?W=te:R.get(F)&&(W=\"always\"),W}let iq=_r.VectorTileFeature.types,nq=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Zw(R,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=Re?Math.min(fm,Math.round(Re[0])):0,kr=Re?Math.min(fm,Math.round(Re[1])):0;R.emplaceBack(A,F,Math.round(32*W),Math.round(32*te),fe,pe,(vr<<1)+(Ke?1:0),kr,16*ft,16*Rt,256*er,256*ur)}function pS(R,A,F){R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F)}function gS(R){for(let A of R.sections)if(no(A.text))return!0;return!1}class mS{constructor(A){this.layoutVertexArray=new eu,this.indexArray=new se,this.programConfigurations=A,this.segments=new Ye,this.dynamicLayoutVertexArray=new dc,this.opacityVertexArray=new Al,this.hasVisibleVertices=!1,this.placedSymbolArray=new Aa}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(A,F,W,te){this.isEmpty()||(W&&(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,am.members),this.indexBuffer=A.createIndexBuffer(this.indexArray,F),this.dynamicLayoutVertexBuffer=A.createVertexBuffer(this.dynamicLayoutVertexArray,C1.members,!0),this.opacityVertexBuffer=A.createVertexBuffer(this.opacityVertexArray,nq,!0),this.opacityVertexBuffer.itemSize=1),(W||te)&&this.programConfigurations.upload(A))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Fi(\"SymbolBuffers\",mS);class hm{constructor(A,F,W){this.layoutVertexArray=new A,this.layoutAttributes=F,this.indexArray=new W,this.segments=new Ye,this.collisionVertexArray=new X}upload(A){this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=A.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=A.createVertexBuffer(this.collisionVertexArray,L1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Fi(\"CollisionBuffers\",hm);class D1{constructor(A){this.collisionBoxArray=A.collisionBoxArray,this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((pe=>pe.id)),this.index=A.index,this.pixelRatio=A.pixelRatio,this.sourceLayerIndex=A.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Ii([]),this.placementViewportMatrix=Ii([]);let F=this.layers[0]._unevaluatedLayout._values;this.textSizeData=zC(this.zoom,F[\"text-size\"]),this.iconSizeData=zC(this.zoom,F[\"icon-size\"]);let W=this.layers[0].layout,te=W.get(\"symbol-sort-key\"),fe=W.get(\"symbol-z-order\");this.canOverlap=vS(W,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||vS(W,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||W.get(\"text-ignore-placement\")||W.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,W.get(\"symbol-placement\")===\"point\"&&(this.writingModes=W.get(\"text-writing-mode\").map((pe=>i.ah[pe]))),this.stateDependentLayerIds=this.layers.filter((pe=>pe.isStateDependent())).map((pe=>pe.id)),this.sourceID=A.sourceID}createArrays(){this.text=new mS(new Ms(this.layers,this.zoom,(A=>/^text/.test(A)))),this.icon=new mS(new Ms(this.layers,this.zoom,(A=>/^icon/.test(A)))),this.glyphOffsetArray=new Co,this.lineVertexArray=new Qa,this.symbolInstances=new $a,this.textAnchorOffsets=new Bo}calculateGlyphDependencies(A,F,W,te,fe){for(let pe=0;pe<A.length;pe++)if(F[A.charCodeAt(pe)]=!0,(W||te)&&fe){let Re=vc[A.charAt(pe)];Re&&(F[Re.charCodeAt(0)]=!0)}}populate(A,F,W){let te=this.layers[0],fe=te.layout,pe=fe.get(\"text-font\"),Re=fe.get(\"text-field\"),Ke=fe.get(\"icon-image\"),ft=(Re.value.kind!==\"constant\"||Re.value.value instanceof ti&&!Re.value.value.isEmpty()||Re.value.value.toString().length>0)&&(pe.value.kind!==\"constant\"||pe.value.value.length>0),Rt=Ke.value.kind!==\"constant\"||!!Ke.value.value||Object.keys(Ke.parameters).length>0,er=fe.get(\"symbol-sort-key\");if(this.features=[],!ft&&!Rt)return;let ur=F.iconDependencies,vr=F.glyphDependencies,kr=F.availableImages,Dr=new rs(this.zoom);for(let{feature:li,id:pi,index:vn,sourceLayerIndex:zi}of A){let ln=te._featureFilter.needGeometry,Tn=Ml(li,ln);if(!te._featureFilter.filter(Dr,Tn,W))continue;let pa,ro;if(ln||(Tn.geometry=$s(li)),ft){let Xa=te.getValueAndResolveTokens(\"text-field\",Tn,W,kr),la=ti.factory(Xa),Mo=this.hasRTLText=this.hasRTLText||gS(la);(!Mo||ys.getRTLTextPluginStatus()===\"unavailable\"||Mo&&ys.isParsed())&&(pa=sm(la,te,Tn))}if(Rt){let Xa=te.getValueAndResolveTokens(\"icon-image\",Tn,W,kr);ro=Xa instanceof en?Xa:en.fromString(Xa)}if(!pa&&!ro)continue;let Vo=this.sortFeaturesByKey?er.evaluate(Tn,{},W):void 0;if(this.features.push({id:pi,text:pa,icon:ro,index:vn,sourceLayerIndex:zi,geometry:Tn.geometry,properties:li.properties,type:iq[li.type],sortKey:Vo}),ro&&(ur[ro.name]=!0),pa){let Xa=pe.evaluate(Tn,{},W).join(\",\"),la=fe.get(\"text-rotation-alignment\")!==\"viewport\"&&fe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let Mo of pa.sections)if(Mo.image)ur[Mo.image.name]=!0;else{let fo=Ka(pa.toString()),lo=Mo.fontStack||Xa,Wn=vr[lo]=vr[lo]||{};this.calculateGlyphDependencies(Mo.text,Wn,la,this.allowVerticalPlacement,fo)}}}fe.get(\"symbol-placement\")===\"line\"&&(this.features=(function(li){let pi={},vn={},zi=[],ln=0;function Tn(Xa){zi.push(li[Xa]),ln++}function pa(Xa,la,Mo){let fo=vn[Xa];return delete vn[Xa],vn[la]=fo,zi[fo].geometry[0].pop(),zi[fo].geometry[0]=zi[fo].geometry[0].concat(Mo[0]),fo}function ro(Xa,la,Mo){let fo=pi[la];return delete pi[la],pi[Xa]=fo,zi[fo].geometry[0].shift(),zi[fo].geometry[0]=Mo[0].concat(zi[fo].geometry[0]),fo}function Vo(Xa,la,Mo){let fo=Mo?la[0][la[0].length-1]:la[0][0];return`${Xa}:${fo.x}:${fo.y}`}for(let Xa=0;Xa<li.length;Xa++){let la=li[Xa],Mo=la.geometry,fo=la.text?la.text.toString():null;if(!fo){Tn(Xa);continue}let lo=Vo(fo,Mo),Wn=Vo(fo,Mo,!0);if(lo in vn&&Wn in pi&&vn[lo]!==pi[Wn]){let Ro=ro(lo,Wn,Mo),uo=pa(lo,Wn,zi[Ro].geometry);delete pi[lo],delete vn[Wn],vn[Vo(fo,zi[uo].geometry,!0)]=uo,zi[Ro].geometry=null}else lo in vn?pa(lo,Wn,Mo):Wn in pi?ro(lo,Wn,Mo):(Tn(Xa),pi[lo]=ln-1,vn[Wn]=ln-1)}return zi.filter((Xa=>Xa.geometry))})(this.features)),this.sortFeaturesByKey&&this.features.sort(((li,pi)=>li.sortKey-pi.sortKey))}update(A,F,W){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(A,F,this.layers,W),this.icon.programConfigurations.updatePaintArrays(A,F,this.layers,W))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(A){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(A),this.iconCollisionBox.upload(A)),this.text.upload(A,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(A,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(A,F){let W=this.lineVertexArray.length;if(A.segment!==void 0){let te=A.dist(F[A.segment+1]),fe=A.dist(F[A.segment]),pe={};for(let Re=A.segment+1;Re<F.length;Re++)pe[Re]={x:F[Re].x,y:F[Re].y,tileUnitDistanceFromAnchor:te},Re<F.length-1&&(te+=F[Re+1].dist(F[Re]));for(let Re=A.segment||0;Re>=0;Re--)pe[Re]={x:F[Re].x,y:F[Re].y,tileUnitDistanceFromAnchor:fe},Re>0&&(fe+=F[Re-1].dist(F[Re]));for(let Re=0;Re<F.length;Re++){let Ke=pe[Re];this.lineVertexArray.emplaceBack(Ke.x,Ke.y,Ke.tileUnitDistanceFromAnchor)}}return{lineStartIndex:W,lineLength:this.lineVertexArray.length-W}}addSymbols(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=A.indexArray,kr=A.layoutVertexArray,Dr=A.segments.prepareSegment(4*F.length,kr,vr,this.canOverlap?pe.sortKey:void 0),li=this.glyphOffsetArray.length,pi=Dr.vertexLength,vn=this.allowVerticalPlacement&&Re===i.ah.vertical?Math.PI/2:0,zi=pe.text&&pe.text.sections;for(let ln=0;ln<F.length;ln++){let{tl:Tn,tr:pa,bl:ro,br:Vo,tex:Xa,pixelOffsetTL:la,pixelOffsetBR:Mo,minFontScaleX:fo,minFontScaleY:lo,glyphOffset:Wn,isSDF:Ro,sectionIndex:uo}=F[ln],$o=Dr.vertexLength,Ju=Wn[1];Zw(kr,Ke.x,Ke.y,Tn.x,Ju+Tn.y,Xa.x,Xa.y,W,Ro,la.x,la.y,fo,lo),Zw(kr,Ke.x,Ke.y,pa.x,Ju+pa.y,Xa.x+Xa.w,Xa.y,W,Ro,Mo.x,la.y,fo,lo),Zw(kr,Ke.x,Ke.y,ro.x,Ju+ro.y,Xa.x,Xa.y+Xa.h,W,Ro,la.x,Mo.y,fo,lo),Zw(kr,Ke.x,Ke.y,Vo.x,Ju+Vo.y,Xa.x+Xa.w,Xa.y+Xa.h,W,Ro,Mo.x,Mo.y,fo,lo),pS(A.dynamicLayoutVertexArray,Ke,vn),vr.emplaceBack($o,$o+1,$o+2),vr.emplaceBack($o+1,$o+2,$o+3),Dr.vertexLength+=4,Dr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Wn[0]),ln!==F.length-1&&uo===F[ln+1].sectionIndex||A.programConfigurations.populatePaintArrays(kr.length,pe,pe.index,{},ur,zi&&zi[uo])}A.placedSymbolArray.emplaceBack(Ke.x,Ke.y,li,this.glyphOffsetArray.length-li,pi,ft,Rt,Ke.segment,W?W[0]:0,W?W[1]:0,te[0],te[1],Re,0,!1,0,er)}_addCollisionDebugVertex(A,F,W,te,fe,pe){return F.emplaceBack(0,0),A.emplaceBack(W.x,W.y,te,fe,Math.round(pe.x),Math.round(pe.y))}addCollisionDebugVertices(A,F,W,te,fe,pe,Re){let Ke=fe.segments.prepareSegment(4,fe.layoutVertexArray,fe.indexArray),ft=Ke.vertexLength,Rt=fe.layoutVertexArray,er=fe.collisionVertexArray,ur=Re.anchorX,vr=Re.anchorY;this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(A,F)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(W,F)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(W,te)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(A,te)),Ke.vertexLength+=4;let kr=fe.indexArray;kr.emplaceBack(ft,ft+1),kr.emplaceBack(ft+1,ft+2),kr.emplaceBack(ft+2,ft+3),kr.emplaceBack(ft+3,ft),Ke.primitiveLength+=4}addDebugCollisionBoxes(A,F,W,te){for(let fe=A;fe<F;fe++){let pe=this.collisionBoxArray.get(fe);this.addCollisionDebugVertices(pe.x1,pe.y1,pe.x2,pe.y2,te?this.textCollisionBox:this.iconCollisionBox,pe.anchorPoint,W)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hm(Sl,py.members,Te),this.iconCollisionBox=new hm(Sl,py.members,Te);for(let A=0;A<this.symbolInstances.length;A++){let F=this.symbolInstances.get(A);this.addDebugCollisionBoxes(F.textBoxStartIndex,F.textBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.verticalTextBoxStartIndex,F.verticalTextBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.iconBoxStartIndex,F.iconBoxEndIndex,F,!1),this.addDebugCollisionBoxes(F.verticalIconBoxStartIndex,F.verticalIconBoxEndIndex,F,!1)}}_deserializeCollisionBoxesForSymbol(A,F,W,te,fe,pe,Re,Ke,ft){let Rt={};for(let er=F;er<W;er++){let ur=A.get(er);Rt.textBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.textFeatureIndex=ur.featureIndex;break}for(let er=te;er<fe;er++){let ur=A.get(er);Rt.verticalTextBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.verticalTextFeatureIndex=ur.featureIndex;break}for(let er=pe;er<Re;er++){let ur=A.get(er);Rt.iconBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.iconFeatureIndex=ur.featureIndex;break}for(let er=Ke;er<ft;er++){let ur=A.get(er);Rt.verticalIconBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.verticalIconFeatureIndex=ur.featureIndex;break}return Rt}deserializeCollisionBoxes(A){this.collisionArrays=[];for(let F=0;F<this.symbolInstances.length;F++){let W=this.symbolInstances.get(F);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(A,W.textBoxStartIndex,W.textBoxEndIndex,W.verticalTextBoxStartIndex,W.verticalTextBoxEndIndex,W.iconBoxStartIndex,W.iconBoxEndIndex,W.verticalIconBoxStartIndex,W.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(A,F){let W=A.placedSymbolArray.get(F),te=W.vertexStartIndex+4*W.numGlyphs;for(let fe=W.vertexStartIndex;fe<te;fe+=4)A.indexArray.emplaceBack(fe,fe+1,fe+2),A.indexArray.emplaceBack(fe+1,fe+2,fe+3)}getSortedSymbolIndexes(A){if(this.sortedAngle===A&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let F=Math.sin(A),W=Math.cos(A),te=[],fe=[],pe=[];for(let Re=0;Re<this.symbolInstances.length;++Re){pe.push(Re);let Ke=this.symbolInstances.get(Re);te.push(0|Math.round(F*Ke.anchorX+W*Ke.anchorY)),fe.push(Ke.featureIndex)}return pe.sort(((Re,Ke)=>te[Re]-te[Ke]||fe[Ke]-fe[Re])),pe}addToSortKeyRanges(A,F){let W=this.sortKeyRanges[this.sortKeyRanges.length-1];W&&W.sortKey===F?W.symbolInstanceEnd=A+1:this.sortKeyRanges.push({sortKey:F,symbolInstanceStart:A,symbolInstanceEnd:A+1})}sortFeatures(A){if(this.sortFeaturesByY&&this.sortedAngle!==A&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(A),this.sortedAngle=A,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let F of this.symbolInstanceIndexes){let W=this.symbolInstances.get(F);this.featureSortOrder.push(W.featureIndex),[W.rightJustifiedTextSymbolIndex,W.centerJustifiedTextSymbolIndex,W.leftJustifiedTextSymbolIndex].forEach(((te,fe,pe)=>{te>=0&&pe.indexOf(te)===fe&&this.addIndicesForPlacedSymbol(this.text,te)})),W.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,W.verticalPlacedTextSymbolIndex),W.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.placedIconSymbolIndex),W.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Tf,ib;Fi(\"SymbolBucket\",D1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),D1.MAX_GLYPHS=65535,D1.addDynamicAttributes=pS;var Yw={get paint(){return ib=ib||new ue({\"icon-opacity\":new oo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new oo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new oo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new oo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new oo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Va(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Va(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new oo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new oo(ce.paint_symbol[\"text-color\"],{runtimeType:jt,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new oo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new oo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new oo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Va(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Va(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Tf=Tf||new ue({\"symbol-placement\":new Va(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Va(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Va(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new oo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Va(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Va(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Va(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Va(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Va(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Va(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new oo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Va(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Va(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new oo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new oo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new oo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Va(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new oo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new oo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Va(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Va(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Va(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new oo(ce.layout_symbol[\"text-field\"]),\"text-font\":new oo(ce.layout_symbol[\"text-font\"]),\"text-size\":new oo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new oo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Va(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new oo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new oo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new oo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Va(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new oo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new oo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Va(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Va(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new oo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Va(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Va(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new oo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new oo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Va(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Va(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Va(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Va(ce.layout_symbol[\"text-optional\"])})}};class nb{constructor(A){if(A.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=A.property.overrides?A.property.overrides.runtimeType:Tt,this.defaultValue=A}evaluate(A){if(A.formattedSection){let F=this.defaultValue.property.overrides;if(F&&F.hasOverride(A.formattedSection))return F.getOverride(A.formattedSection)}return A.feature&&A.featureState?this.defaultValue.evaluate(A.feature,A.featureState):this.defaultValue.property.specification.default}eachChild(A){this.defaultValue.isConstant()||A(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Fi(\"FormatSectionOverride\",nb,{omit:[\"defaultValue\"]});class yy extends B{constructor(A){super(A,Yw)}recalculate(A,F){if(super.recalculate(A,F),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let W=this.layout.get(\"text-writing-mode\");if(W){let te=[];for(let fe of W)te.indexOf(fe)<0&&te.push(fe);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(A,F,W,te){let fe=this.layout.get(A).evaluate(F,{},W,te),pe=this._unevaluatedLayout._values[A];return pe.isDataDriven()||Dc(pe.value)||!fe?fe:(function(Re,Ke){return Ke.replace(/{([^{}]+)}/g,((ft,Rt)=>Re&&Rt in Re?String(Re[Rt]):\"\"))})(F.properties,fe)}createBucket(A){return new D1(A)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let A of Yw.paint.overridableProperties){if(!yy.hasPaintOverride(this.layout,A))continue;let F=this.paint.get(A),W=new nb(F),te=new Eu(W,F.property.specification),fe=null;fe=F.value.kind===\"constant\"||F.value.kind===\"source\"?new bc(\"source\",te):new hu(\"composite\",te,F.value.zoomStops),this.paint._values[A]=new xu(F.property,fe,F.parameters)}}_handleOverridablePaintPropertyUpdate(A,F,W){return!(!this.layout||F.isDataDriven()||W.isDataDriven())&&yy.hasPaintOverride(this.layout,A)}static hasPaintOverride(A,F){let W=A.get(\"text-field\"),te=Yw.paint.properties[F],fe=!1,pe=Re=>{for(let Ke of Re)if(te.overrides&&te.overrides.hasOverride(Ke))return void(fe=!0)};if(W.value.kind===\"constant\"&&W.value.value instanceof ti)pe(W.value.value.sections);else if(W.value.kind===\"source\"){let Re=ft=>{fe||(ft instanceof ua&&Mn(ft.value)===ei?pe(ft.value.sections):ft instanceof Yl?pe(ft.sections):ft.eachChild(Re))},Ke=W.value;Ke._styleExpression&&Re(Ke._styleExpression.expression)}return fe}}let qC;var ab={get paint(){return qC=qC||new ue({\"background-color\":new Va(ce.paint_background[\"background-color\"]),\"background-pattern\":new hc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Va(ce.paint_background[\"background-opacity\"])})}};class aq extends B{constructor(A){super(A,ab)}}let yS;var OC={get paint(){return yS=yS||new ue({\"raster-opacity\":new Va(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Va(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Va(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Va(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Va(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Va(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Va(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Va(ce.paint_raster[\"raster-fade-duration\"])})}};class ob extends B{constructor(A){super(A,OC)}}class _S extends B{constructor(A){super(A,{}),this.onAdd=F=>{this.implementation.onAdd&&this.implementation.onAdd(F,F.painter.context.gl)},this.onRemove=F=>{this.implementation.onRemove&&this.implementation.onRemove(F,F.painter.context.gl)},this.implementation=A}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class xS{constructor(A){this._methodToThrottle=A,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let bS=63710088e-1;class pg{constructor(A,F){if(isNaN(A)||isNaN(F))throw new Error(`Invalid LngLat object: (${A}, ${F})`);if(this.lng=+A,this.lat=+F,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new pg(T(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(A){let F=Math.PI/180,W=this.lat*F,te=A.lat*F,fe=Math.sin(W)*Math.sin(te)+Math.cos(W)*Math.cos(te)*Math.cos((A.lng-this.lng)*F);return bS*Math.acos(Math.min(fe,1))}static convert(A){if(A instanceof pg)return A;if(Array.isArray(A)&&(A.length===2||A.length===3))return new pg(Number(A[0]),Number(A[1]));if(!Array.isArray(A)&&typeof A==\"object\"&&A!==null)return new pg(Number(\"lng\"in A?A.lng:A.lon),Number(A.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}let F1=2*Math.PI*bS;function BC(R){return F1*Math.cos(R*Math.PI/180)}function Kw(R){return(180+R)/360}function NC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function Jw(R,A){return R/BC(A)}function sb(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class lb{constructor(A,F,W=0){this.x=+A,this.y=+F,this.z=+W}static fromLngLat(A,F=0){let W=pg.convert(A);return new lb(Kw(W.lng),NC(W.lat),Jw(F,W.lat))}toLngLat(){return new pg(360*this.x-180,sb(this.y))}toAltitude(){return this.z*BC(sb(this.y))}meterInMercatorCoordinateUnits(){return 1/F1*(A=sb(this.y),1/Math.cos(A*Math.PI/180));var A}}function yp(R,A,F){var W=2*Math.PI*6378137/256/Math.pow(2,F);return[R*W-2*Math.PI*6378137/2,A*W-2*Math.PI*6378137/2]}class wS{constructor(A,F,W){if(!(function(te,fe,pe){return!(te<0||te>25||pe<0||pe>=Math.pow(2,te)||fe<0||fe>=Math.pow(2,te))})(A,F,W))throw new Error(`x=${F}, y=${W}, z=${A} outside of bounds. 0<=x<${Math.pow(2,A)}, 0<=y<${Math.pow(2,A)} 0<=z<=25 `);this.z=A,this.x=F,this.y=W,this.key=ub(0,A,A,F,W)}equals(A){return this.z===A.z&&this.x===A.x&&this.y===A.y}url(A,F,W){let te=(pe=this.y,Re=this.z,Ke=yp(256*(fe=this.x),256*(pe=Math.pow(2,Re)-pe-1),Re),ft=yp(256*(fe+1),256*(pe+1),Re),Ke[0]+\",\"+Ke[1]+\",\"+ft[0]+\",\"+ft[1]);var fe,pe,Re,Ke,ft;let Rt=(function(er,ur,vr){let kr,Dr=\"\";for(let li=er;li>0;li--)kr=1<<li-1,Dr+=(ur&kr?1:0)+(vr&kr?2:0);return Dr})(this.z,this.x,this.y);return A[(this.x+this.y)%A.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(W===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,F>1?\"@2x\":\"\").replace(/{quadkey}/g,Rt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(A){let F=this.z-A.z;return F>0&&A.x===this.x>>F&&A.y===this.y>>F}getTilePoint(A){let F=Math.pow(2,this.z);return new u((A.x*F-this.x)*ja,(A.y*F-this.y)*ja)}toString(){return`${this.z}/${this.x}/${this.y}`}}class UC{constructor(A,F){this.wrap=A,this.canonical=F,this.key=ub(A,F.z,F.z,F.x,F.y)}}class $v{constructor(A,F,W,te,fe){if(A<W)throw new Error(`overscaledZ should be >= z; overscaledZ = ${A}; z = ${W}`);this.overscaledZ=A,this.wrap=F,this.canonical=new wS(W,+te,+fe),this.key=ub(F,A,W,te,fe)}clone(){return new $v(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(A){return this.overscaledZ===A.overscaledZ&&this.wrap===A.wrap&&this.canonical.equals(A.canonical)}scaledTo(A){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let F=this.canonical.z-A;return A>this.canonical.z?new $v(A,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new $v(A,this.wrap,A,this.canonical.x>>F,this.canonical.y>>F)}calculateScaledKey(A,F){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let W=this.canonical.z-A;return A>this.canonical.z?ub(this.wrap*+F,A,this.canonical.z,this.canonical.x,this.canonical.y):ub(this.wrap*+F,A,A,this.canonical.x>>W,this.canonical.y>>W)}isChildOf(A){if(A.wrap!==this.wrap)return!1;let F=this.canonical.z-A.canonical.z;return A.overscaledZ===0||A.overscaledZ<this.overscaledZ&&A.canonical.x===this.canonical.x>>F&&A.canonical.y===this.canonical.y>>F}children(A){if(this.overscaledZ>=A)return[new $v(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let F=this.canonical.z+1,W=2*this.canonical.x,te=2*this.canonical.y;return[new $v(F,this.wrap,F,W,te),new $v(F,this.wrap,F,W+1,te),new $v(F,this.wrap,F,W,te+1),new $v(F,this.wrap,F,W+1,te+1)]}isLessThan(A){return this.wrap<A.wrap||!(this.wrap>A.wrap)&&(this.overscaledZ<A.overscaledZ||!(this.overscaledZ>A.overscaledZ)&&(this.canonical.x<A.canonical.x||!(this.canonical.x>A.canonical.x)&&this.canonical.y<A.canonical.y))}wrapped(){return new $v(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(A){return new $v(this.overscaledZ,A,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new UC(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(A){return this.canonical.getTilePoint(new lb(A.x-this.wrap,A.y))}}function ub(R,A,F,W,te){(R*=2)<0&&(R=-1*R-1);let fe=1<<F;return(fe*fe*R+fe*te+W).toString(36)+F.toString(36)+A.toString(36)}Fi(\"CanonicalTileID\",wS),Fi(\"OverscaledTileID\",$v,{omit:[\"posMatrix\"]});class VC{constructor(A,F,W,te=1,fe=1,pe=1,Re=0){if(this.uid=A,F.height!==F.width)throw new RangeError(\"DEM tiles must be square\");if(W&&![\"mapbox\",\"terrarium\",\"custom\"].includes(W))return void E(`\"${W}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=F.height;let Ke=this.dim=F.height-2;switch(this.data=new Uint32Array(F.data.buffer),W){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=te,this.greenFactor=fe,this.blueFactor=pe,this.baseShift=Re;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let ft=0;ft<Ke;ft++)this.data[this._idx(-1,ft)]=this.data[this._idx(0,ft)],this.data[this._idx(Ke,ft)]=this.data[this._idx(Ke-1,ft)],this.data[this._idx(ft,-1)]=this.data[this._idx(ft,0)],this.data[this._idx(ft,Ke)]=this.data[this._idx(ft,Ke-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ke,-1)]=this.data[this._idx(Ke-1,0)],this.data[this._idx(-1,Ke)]=this.data[this._idx(0,Ke-1)],this.data[this._idx(Ke,Ke)]=this.data[this._idx(Ke-1,Ke-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let ft=0;ft<Ke;ft++)for(let Rt=0;Rt<Ke;Rt++){let er=this.get(ft,Rt);er>this.max&&(this.max=er),er<this.min&&(this.min=er)}}get(A,F){let W=new Uint8Array(this.data.buffer),te=4*this._idx(A,F);return this.unpack(W[te],W[te+1],W[te+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(A,F){if(A<-1||A>=this.dim+1||F<-1||F>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(F+1)*this.stride+(A+1)}unpack(A,F,W){return A*this.redFactor+F*this.greenFactor+W*this.blueFactor-this.baseShift}getPixels(){return new Ki({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(A,F,W){if(this.dim!==A.dim)throw new Error(\"dem dimension mismatch\");let te=F*this.dim,fe=F*this.dim+this.dim,pe=W*this.dim,Re=W*this.dim+this.dim;switch(F){case-1:te=fe-1;break;case 1:fe=te+1}switch(W){case-1:pe=Re-1;break;case 1:Re=pe+1}let Ke=-F*this.dim,ft=-W*this.dim;for(let Rt=pe;Rt<Re;Rt++)for(let er=te;er<fe;er++)this.data[this._idx(er,Rt)]=A.data[this._idx(er+Ke,Rt+ft)]}}Fi(\"DEMData\",VC);class GC{constructor(A){this._stringToNumber={},this._numberToString=[];for(let F=0;F<A.length;F++){let W=A[F];this._stringToNumber[W]=F,this._numberToString[F]=W}}encode(A){return this._stringToNumber[A]}decode(A){if(A>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${A} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[A]}}class TS{constructor(A,F,W,te,fe){this.type=\"Feature\",this._vectorTileFeature=A,A._z=F,A._x=W,A._y=te,this.properties=A.properties,this.id=fe}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(A){this._geometry=A}toJSON(){let A={geometry:this.geometry};for(let F in this)F!==\"_geometry\"&&F!==\"_vectorTileFeature\"&&(A[F]=this[F]);return A}}class _y{constructor(A,F){this.tileID=A,this.x=A.canonical.x,this.y=A.canonical.y,this.z=A.canonical.z,this.grid=new $i(ja,16,0),this.grid3D=new $i(ja,16,0),this.featureIndexArray=new Ts,this.promoteId=F}insert(A,F,W,te,fe,pe){let Re=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(W,te,fe);let Ke=pe?this.grid3D:this.grid;for(let ft=0;ft<F.length;ft++){let Rt=F[ft],er=[1/0,1/0,-1/0,-1/0];for(let ur=0;ur<Rt.length;ur++){let vr=Rt[ur];er[0]=Math.min(er[0],vr.x),er[1]=Math.min(er[1],vr.y),er[2]=Math.max(er[2],vr.x),er[3]=Math.max(er[3],vr.y)}er[0]<ja&&er[1]<ja&&er[2]>=0&&er[3]>=0&&Ke.insert(Re,er[0],er[1],er[2],er[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new _r.VectorTile(new fS(this.rawTileData)).layers,this.sourceLayerCoder=new GC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(A,F,W,te){this.loadVTLayers();let fe=A.params||{},pe=ja/A.tileSize/A.scale,Re=Fc(fe.filter),Ke=A.queryGeometry,ft=A.queryPadding*pe,Rt=jC(Ke),er=this.grid.query(Rt.minX-ft,Rt.minY-ft,Rt.maxX+ft,Rt.maxY+ft),ur=jC(A.cameraQueryGeometry),vr=this.grid3D.query(ur.minX-ft,ur.minY-ft,ur.maxX+ft,ur.maxY+ft,((li,pi,vn,zi)=>(function(ln,Tn,pa,ro,Vo){for(let la of ln)if(Tn<=la.x&&pa<=la.y&&ro>=la.x&&Vo>=la.y)return!0;let Xa=[new u(Tn,pa),new u(Tn,Vo),new u(ro,Vo),new u(ro,pa)];if(ln.length>2){for(let la of Xa)if(Ni(ln,la))return!0}for(let la=0;la<ln.length-1;la++)if(qi(ln[la],ln[la+1],Xa))return!0;return!1})(A.cameraQueryGeometry,li-ft,pi-ft,vn+ft,zi+ft)));for(let li of vr)er.push(li);er.sort(oq);let kr={},Dr;for(let li=0;li<er.length;li++){let pi=er[li];if(pi===Dr)continue;Dr=pi;let vn=this.featureIndexArray.get(pi),zi=null;this.loadMatchingFeature(kr,vn.bucketIndex,vn.sourceLayerIndex,vn.featureIndex,Re,fe.layers,fe.availableImages,F,W,te,((ln,Tn,pa)=>(zi||(zi=$s(ln)),Tn.queryIntersectsFeature(Ke,ln,pa,zi,this.z,A.transform,pe,A.pixelPosMatrix))))}return kr}loadMatchingFeature(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er){let ur=this.bucketLayerIDs[F];if(pe&&!(function(li,pi){for(let vn=0;vn<li.length;vn++)if(pi.indexOf(li[vn])>=0)return!0;return!1})(pe,ur))return;let vr=this.sourceLayerCoder.decode(W),kr=this.vtLayers[vr].feature(te);if(fe.needGeometry){let li=Ml(kr,!0);if(!fe.filter(new rs(this.tileID.overscaledZ),li,this.tileID.canonical))return}else if(!fe.filter(new rs(this.tileID.overscaledZ),kr))return;let Dr=this.getId(kr,vr);for(let li=0;li<ur.length;li++){let pi=ur[li];if(pe&&pe.indexOf(pi)<0)continue;let vn=Ke[pi];if(!vn)continue;let zi={};Dr&&Rt&&(zi=Rt.getState(vn.sourceLayer||\"_geojsonTileLayer\",Dr));let ln=L({},ft[pi]);ln.paint=HC(ln.paint,vn.paint,kr,zi,Re),ln.layout=HC(ln.layout,vn.layout,kr,zi,Re);let Tn=!er||er(kr,vn,zi);if(!Tn)continue;let pa=new TS(kr,this.z,this.x,this.y,Dr);pa.layer=ln;let ro=A[pi];ro===void 0&&(ro=A[pi]=[]),ro.push({featureIndex:te,feature:pa,intersectionZ:Tn})}}lookupSymbolFeatures(A,F,W,te,fe,pe,Re,Ke){let ft={};this.loadVTLayers();let Rt=Fc(fe);for(let er of A)this.loadMatchingFeature(ft,W,te,er,Rt,pe,Re,Ke,F);return ft}hasLayer(A){for(let F of this.bucketLayerIDs)for(let W of F)if(A===W)return!0;return!1}getId(A,F){let W=A.id;return this.promoteId&&(W=A.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[F]],typeof W==\"boolean\"&&(W=Number(W))),W}}function HC(R,A,F,W,te){return C(R,((fe,pe)=>{let Re=A instanceof Ac?A.get(pe):null;return Re&&Re.evaluate?Re.evaluate(F,W,te):Re}))}function jC(R){let A=1/0,F=1/0,W=-1/0,te=-1/0;for(let fe of R)A=Math.min(A,fe.x),F=Math.min(F,fe.y),W=Math.max(W,fe.x),te=Math.max(te,fe.y);return{minX:A,minY:F,maxX:W,maxY:te}}function oq(R,A){return A-R}function WC(R,A,F,W,te){let fe=[];for(let pe=0;pe<R.length;pe++){let Re=R[pe],Ke;for(let ft=0;ft<Re.length-1;ft++){let Rt=Re[ft],er=Re[ft+1];Rt.x<A&&er.x<A||(Rt.x<A?Rt=new u(A,Rt.y+(A-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round():er.x<A&&(er=new u(A,Rt.y+(A-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round()),Rt.y<F&&er.y<F||(Rt.y<F?Rt=new u(Rt.x+(F-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),F)._round():er.y<F&&(er=new u(Rt.x+(F-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),F)._round()),Rt.x>=W&&er.x>=W||(Rt.x>=W?Rt=new u(W,Rt.y+(W-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round():er.x>=W&&(er=new u(W,Rt.y+(W-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round()),Rt.y>=te&&er.y>=te||(Rt.y>=te?Rt=new u(Rt.x+(te-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),te)._round():er.y>=te&&(er=new u(Rt.x+(te-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),te)._round()),Ke&&Rt.equals(Ke[Ke.length-1])||(Ke=[Rt],fe.push(Ke)),Ke.push(er)))))}}return fe}Fi(\"FeatureIndex\",_y,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class gg extends u{constructor(A,F,W,te){super(A,F),this.angle=W,te!==void 0&&(this.segment=te)}clone(){return new gg(this.x,this.y,this.angle,this.segment)}}function AS(R,A,F,W,te){if(A.segment===void 0||F===0)return!0;let fe=A,pe=A.segment+1,Re=0;for(;Re>-F/2;){if(pe--,pe<0)return!1;Re-=R[pe].dist(fe),fe=R[pe]}Re+=R[pe].dist(R[pe+1]),pe++;let Ke=[],ft=0;for(;Re<F/2;){let Rt=R[pe],er=R[pe+1];if(!er)return!1;let ur=R[pe-1].angleTo(Rt)-Rt.angleTo(er);for(ur=Math.abs((ur+3*Math.PI)%(2*Math.PI)-Math.PI),Ke.push({distance:Re,angleDelta:ur}),ft+=ur;Re-Ke[0].distance>W;)ft-=Ke.shift().angleDelta;if(ft>te)return!1;pe++,Re+=Rt.dist(er)}return!0}function XC(R){let A=0;for(let F=0;F<R.length-1;F++)A+=R[F].dist(R[F+1]);return A}function ZC(R,A,F){return R?.6*A*F:0}function YC(R,A){return Math.max(R?R.right-R.left:0,A?A.right-A.left:0)}function sq(R,A,F,W,te,fe){let pe=ZC(F,te,fe),Re=YC(F,W)*fe,Ke=0,ft=XC(R)/2;for(let Rt=0;Rt<R.length-1;Rt++){let er=R[Rt],ur=R[Rt+1],vr=er.dist(ur);if(Ke+vr>ft){let kr=(ft-Ke)/vr,Dr=Lo.number(er.x,ur.x,kr),li=Lo.number(er.y,ur.y,kr),pi=new gg(Dr,li,ur.angleTo(er),Rt);return pi._round(),!pe||AS(R,pi,Re,pe,A)?pi:void 0}Ke+=vr}}function lq(R,A,F,W,te,fe,pe,Re,Ke){let ft=ZC(W,fe,pe),Rt=YC(W,te),er=Rt*pe,ur=R[0].x===0||R[0].x===Ke||R[0].y===0||R[0].y===Ke;return A-er<A/4&&(A=er+A/4),KC(R,ur?A/2*Re%A:(Rt/2+2*fe)*pe*Re%A,A,ft,F,er,ur,!1,Ke)}function KC(R,A,F,W,te,fe,pe,Re,Ke){let ft=fe/2,Rt=XC(R),er=0,ur=A-F,vr=[];for(let kr=0;kr<R.length-1;kr++){let Dr=R[kr],li=R[kr+1],pi=Dr.dist(li),vn=li.angleTo(Dr);for(;ur+F<er+pi;){ur+=F;let zi=(ur-er)/pi,ln=Lo.number(Dr.x,li.x,zi),Tn=Lo.number(Dr.y,li.y,zi);if(ln>=0&&ln<Ke&&Tn>=0&&Tn<Ke&&ur-ft>=0&&ur+ft<=Rt){let pa=new gg(ln,Tn,vn,kr);pa._round(),W&&!AS(R,pa,fe,W,te)||vr.push(pa)}}er+=pi}return Re||vr.length||pe||(vr=KC(R,er/2,F,W,te,fe,pe,!0,Ke)),vr}Fi(\"Anchor\",gg);let z1=Md;function JC(R,A,F,W){let te=[],fe=R.image,pe=fe.pixelRatio,Re=fe.paddedRect.w-2*z1,Ke=fe.paddedRect.h-2*z1,ft={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Rt=fe.stretchX||[[0,Re]],er=fe.stretchY||[[0,Ke]],ur=(Wn,Ro)=>Wn+Ro[1]-Ro[0],vr=Rt.reduce(ur,0),kr=er.reduce(ur,0),Dr=Re-vr,li=Ke-kr,pi=0,vn=vr,zi=0,ln=kr,Tn=0,pa=Dr,ro=0,Vo=li;if(fe.content&&W){let Wn=fe.content,Ro=Wn[2]-Wn[0],uo=Wn[3]-Wn[1];(fe.textFitWidth||fe.textFitHeight)&&(ft=DC(R)),pi=mg(Rt,0,Wn[0]),zi=mg(er,0,Wn[1]),vn=mg(Rt,Wn[0],Wn[2]),ln=mg(er,Wn[1],Wn[3]),Tn=Wn[0]-pi,ro=Wn[1]-zi,pa=Ro-vn,Vo=uo-ln}let Xa=ft.x1,la=ft.y1,Mo=ft.x2-Xa,fo=ft.y2-la,lo=(Wn,Ro,uo,$o)=>{let Ju=$w(Wn.stretch-pi,vn,Mo,Xa),Ou=q1(Wn.fixed-Tn,pa,Wn.stretch,vr),kh=$w(Ro.stretch-zi,ln,fo,la),Qv=q1(Ro.fixed-ro,Vo,Ro.stretch,kr),ud=$w(uo.stretch-pi,vn,Mo,Xa),Ch=q1(uo.fixed-Tn,pa,uo.stretch,vr),Gd=$w($o.stretch-zi,ln,fo,la),Hd=q1($o.fixed-ro,Vo,$o.stretch,kr),jd=new u(Ju,kh),Af=new u(ud,kh),Lh=new u(ud,Gd),Ed=new u(Ju,Gd),cd=new u(Ou/pe,Qv/pe),Yh=new u(Ch/pe,Hd/pe),Df=A*Math.PI/180;if(Df){let ru=Math.sin(Df),pc=Math.cos(Df),$u=[pc,-ru,ru,pc];jd._matMult($u),Af._matMult($u),Ed._matMult($u),Lh._matMult($u)}let Fv=Wn.stretch+Wn.fixed,uv=Ro.stretch+Ro.fixed;return{tl:jd,tr:Af,bl:Ed,br:Lh,tex:{x:fe.paddedRect.x+z1+Fv,y:fe.paddedRect.y+z1+uv,w:uo.stretch+uo.fixed-Fv,h:$o.stretch+$o.fixed-uv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:cd,pixelOffsetBR:Yh,minFontScaleX:pa/pe/Mo,minFontScaleY:Vo/pe/fo,isSDF:F}};if(W&&(fe.stretchX||fe.stretchY)){let Wn=$C(Rt,Dr,vr),Ro=$C(er,li,kr);for(let uo=0;uo<Wn.length-1;uo++){let $o=Wn[uo],Ju=Wn[uo+1];for(let 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A=this.data[0],F=this.data.pop();return--this.length>0&&(this.data[0]=F,this._down(0)),A}peek(){return this.data[0]}_up(A){let{data:F,compare:W}=this,te=F[A];for(;A>0;){let fe=A-1>>1,pe=F[fe];if(W(te,pe)>=0)break;F[A]=pe,A=fe}F[A]=te}_down(A){let{data:F,compare:W}=this,te=this.length>>1,fe=F[A];for(;A<te;){let pe=1+(A<<1),Re=pe+1;if(Re<this.length&&W(F[Re],F[pe])<0&&(pe=Re),W(F[pe],fe)>=0)break;F[A]=F[pe],A=pe}F[A]=fe}}function uq(R,A=1,F=!1){let W=1/0,te=1/0,fe=-1/0,pe=-1/0,Re=R[0];for(let vr=0;vr<Re.length;vr++){let kr=Re[vr];(!vr||kr.x<W)&&(W=kr.x),(!vr||kr.y<te)&&(te=kr.y),(!vr||kr.x>fe)&&(fe=kr.x),(!vr||kr.y>pe)&&(pe=kr.y)}let Ke=Math.min(fe-W,pe-te),ft=Ke/2,Rt=new Vp([],cq);if(Ke===0)return new u(W,te);for(let vr=W;vr<fe;vr+=Ke)for(let kr=te;kr<pe;kr+=Ke)Rt.push(new O1(vr+ft,kr+ft,ft,R));let er=(function(vr){let kr=0,Dr=0,li=0,pi=vr[0];for(let vn=0,zi=pi.length,ln=zi-1;vn<zi;ln=vn++){let Tn=pi[vn],pa=pi[ln],ro=Tn.x*pa.y-pa.x*Tn.y;Dr+=(Tn.x+pa.x)*ro,li+=(Tn.y+pa.y)*ro,kr+=3*ro}return new O1(Dr/kr,li/kr,0,vr)})(R),ur=Rt.length;for(;Rt.length;){let vr=Rt.pop();(vr.d>er.d||!er.d)&&(er=vr,F&&console.log(\"found best %d after %d probes\",Math.round(1e4*vr.d)/1e4,ur)),vr.max-er.d<=A||(ft=vr.h/2,Rt.push(new O1(vr.p.x-ft,vr.p.y-ft,ft,R)),Rt.push(new O1(vr.p.x+ft,vr.p.y-ft,ft,R)),Rt.push(new O1(vr.p.x-ft,vr.p.y+ft,ft,R)),Rt.push(new O1(vr.p.x+ft,vr.p.y+ft,ft,R)),ur+=4)}return F&&(console.log(`num probes: ${ur}`),console.log(`best distance: ${er.d}`)),er.p}function cq(R,A){return A.max-R.max}function O1(R,A,F,W){this.p=new u(R,A),this.h=F,this.d=(function(te,fe){let pe=!1,Re=1/0;for(let Ke=0;Ke<fe.length;Ke++){let ft=fe[Ke];for(let Rt=0,er=ft.length,ur=er-1;Rt<er;ur=Rt++){let vr=ft[Rt],kr=ft[ur];vr.y>te.y!=kr.y>te.y&&te.x<(kr.x-vr.x)*(te.y-vr.y)/(kr.y-vr.y)+vr.x&&(pe=!pe),Re=Math.min(Re,Nr(te,vr,kr))}}return(pe?1:-1)*Math.sqrt(Re)})(this.p,W),this.max=this.d+this.h*Math.SQRT2}var ld;i.aq=void 0,(ld=i.aq||(i.aq={}))[ld.center=1]=\"center\",ld[ld.left=2]=\"left\",ld[ld.right=3]=\"right\",ld[ld.top=4]=\"top\",ld[ld.bottom=5]=\"bottom\",ld[ld[\"top-left\"]=6]=\"top-left\",ld[ld[\"top-right\"]=7]=\"top-right\",ld[ld[\"bottom-left\"]=8]=\"bottom-left\",ld[ld[\"bottom-right\"]=9]=\"bottom-right\";let vm=7,xy=Number.POSITIVE_INFINITY;function SS(R,A){return A[1]!==xy?(function(F,W,te){let fe=0,pe=0;switch(W=Math.abs(W),te=Math.abs(te),F){case\"top-right\":case\"top-left\":case\"top\":pe=te-vm;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":pe=-te+vm}switch(F){case\"top-right\":case\"bottom-right\":case\"right\":fe=-W;break;case\"top-left\":case\"bottom-left\":case\"left\":fe=W}return[fe,pe]})(R,A[0],A[1]):(function(F,W){let te=0,fe=0;W<0&&(W=0);let pe=W/Math.SQRT2;switch(F){case\"top-right\":case\"top-left\":fe=pe-vm;break;case\"bottom-right\":case\"bottom-left\":fe=-pe+vm;break;case\"bottom\":fe=-W+vm;break;case\"top\":fe=W-vm}switch(F){case\"top-right\":case\"bottom-right\":te=-pe;break;case\"top-left\":case\"bottom-left\":te=pe;break;case\"left\":te=W;break;case\"right\":te=-W}return[te,fe]})(R,A[0])}function QC(R,A,F){var W;let te=R.layout,fe=(W=te.get(\"text-variable-anchor-offset\"))===null||W===void 0?void 0:W.evaluate(A,{},F);if(fe){let Re=fe.values,Ke=[];for(let ft=0;ft<Re.length;ft+=2){let Rt=Ke[ft]=Re[ft],er=Re[ft+1].map((ur=>ur*tu));Rt.startsWith(\"top\")?er[1]-=vm:Rt.startsWith(\"bottom\")&&(er[1]+=vm),Ke[ft+1]=er}return new Hi(Ke)}let pe=te.get(\"text-variable-anchor\");if(pe){let Re;Re=R._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[te.get(\"text-radial-offset\").evaluate(A,{},F)*tu,xy]:te.get(\"text-offset\").evaluate(A,{},F).map((ft=>ft*tu));let Ke=[];for(let ft of pe)Ke.push(ft,SS(ft,Re));return new Hi(Ke)}return null}function MS(R){switch(R){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function fq(R,A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=fe.textMaxSize.evaluate(A,{});er===void 0&&(er=pe);let ur=R.layers[0].layout,vr=ur.get(\"icon-offset\").evaluate(A,{},Rt),kr=t6(F.horizontal),Dr=pe/24,li=R.tilePixelRatio*Dr,pi=R.tilePixelRatio*er/24,vn=R.tilePixelRatio*Re,zi=R.tilePixelRatio*ur.get(\"symbol-spacing\"),ln=ur.get(\"text-padding\")*R.tilePixelRatio,Tn=(function(Wn,Ro,uo,$o=1){let Ju=Wn.get(\"icon-padding\").evaluate(Ro,{},uo),Ou=Ju&&Ju.values;return[Ou[0]*$o,Ou[1]*$o,Ou[2]*$o,Ou[3]*$o]})(ur,A,Rt,R.tilePixelRatio),pa=ur.get(\"text-max-angle\")/180*Math.PI,ro=ur.get(\"text-rotation-alignment\")!==\"viewport\"&&ur.get(\"symbol-placement\")!==\"point\",Vo=ur.get(\"icon-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",Xa=ur.get(\"symbol-placement\"),la=zi/2,Mo=ur.get(\"icon-text-fit\"),fo;W&&Mo!==\"none\"&&(R.allowVerticalPlacement&&F.vertical&&(fo=FC(W,F.vertical,Mo,ur.get(\"icon-text-fit-padding\"),vr,Dr)),kr&&(W=FC(W,kr,Mo,ur.get(\"icon-text-fit-padding\"),vr,Dr)));let lo=(Wn,Ro)=>{Ro.x<0||Ro.x>=ja||Ro.y<0||Ro.y>=ja||(function(uo,$o,Ju,Ou,kh,Qv,ud,Ch,Gd,Hd,jd,Af,Lh,Ed,cd,Yh,Df,Fv,uv,ru,pc,$u,zv,hf,B1){let p0=uo.addToLineVertexArray($o,Ju),Gp,ep,Gc,Yf,tp=0,yg=0,cv=0,N1=0,PS=-1,r3=-1,g0={},by=xi(\"\");if(uo.allowVerticalPlacement&&Ou.vertical){let kd=Ch.layout.get(\"text-rotate\").evaluate(pc,{},hf)+90;Gc=new 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this._layers[et];this.familiesBySource={};let We=i.bk(Object.values(this._layerConfigs),this.keyCache);for(let et of We){let xt=et.map((Ir=>this._layers[Ir.id])),At=xt[0];if(At.visibility===\"none\")continue;let Kt=At.source||\"\",Qt=this.familiesBySource[Kt];Qt||(Qt=this.familiesBySource[Kt]={});let Mr=At.sourceLayer||\"_geojsonTileLayer\",Gr=Qt[Mr];Gr||(Gr=Qt[Mr]=[]),Gr.push(xt)}}}class o{constructor(Ge){let Je={},We=[];for(let Kt in Ge){let Qt=Ge[Kt],Mr=Je[Kt]={};for(let Gr in Qt){let Ir=Qt[+Gr];if(!Ir||Ir.bitmap.width===0||Ir.bitmap.height===0)continue;let Yr={x:0,y:0,w:Ir.bitmap.width+2,h:Ir.bitmap.height+2};We.push(Yr),Mr[Gr]={rect:Yr,metrics:Ir.metrics}}}let{w:et,h:xt}=i.p(We),At=new i.o({width:et||1,height:xt||1});for(let Kt in Ge){let Qt=Ge[Kt];for(let Mr in Qt){let Gr=Qt[+Mr];if(!Gr||Gr.bitmap.width===0||Gr.bitmap.height===0)continue;let Ir=Je[Kt][Mr].rect;i.o.copy(Gr.bitmap,At,{x:0,y:0},{x:Ir.x+1,y:Ir.y+1},Gr.bitmap)}}this.image=At,this.positions=Je}}i.bl(\"GlyphAtlas\",o);class s{constructor(Ge){this.tileID=new i.S(Ge.tileID.overscaledZ,Ge.tileID.wrap,Ge.tileID.canonical.z,Ge.tileID.canonical.x,Ge.tileID.canonical.y),this.uid=Ge.uid,this.zoom=Ge.zoom,this.pixelRatio=Ge.pixelRatio,this.tileSize=Ge.tileSize,this.source=Ge.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=Ge.showCollisionBoxes,this.collectResourceTiming=!!Ge.collectResourceTiming,this.returnDependencies=!!Ge.returnDependencies,this.promoteId=Ge.promoteId,this.inFlightDependencies=[]}parse(Ge,Je,We,et){return i._(this,void 0,void 0,(function*(){this.status=\"parsing\",this.data=Ge,this.collisionBoxArray=new i.a5;let xt=new i.bm(Object.keys(Ge.layers).sort()),At=new i.bn(this.tileID,this.promoteId);At.bucketLayerIDs=[];let Kt={},Qt={featureIndex:At,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:We},Mr=Je.familiesBySource[this.source];for(let Qn in Mr){let Vi=Ge.layers[Qn];if(!Vi)continue;Vi.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${Qn}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let Jn=xt.encode(Qn),Yn=[];for(let Gt=0;Gt<Vi.length;Gt++){let wt=Vi.feature(Gt),tr=At.getId(wt,Qn);Yn.push({feature:wt,id:tr,index:Gt,sourceLayerIndex:Jn})}for(let Gt of Mr[Qn]){let wt=Gt[0];wt.source!==this.source&&i.w(`layer.source = ${wt.source} does not equal this.source = ${this.source}`),wt.minzoom&&this.zoom<Math.floor(wt.minzoom)||wt.maxzoom&&this.zoom>=wt.maxzoom||wt.visibility!==\"none\"&&(l(Gt,this.zoom,We),(Kt[wt.id]=wt.createBucket({index:At.bucketLayerIDs.length,layers:Gt,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Jn,sourceID:this.source})).populate(Yn,Qt,this.tileID.canonical),At.bucketLayerIDs.push(Gt.map((tr=>tr.id))))}}let Gr=i.aF(Qt.glyphDependencies,(Qn=>Object.keys(Qn).map(Number)));this.inFlightDependencies.forEach((Qn=>Qn==null?void 0:Qn.abort())),this.inFlightDependencies=[];let Ir=Promise.resolve({});if(Object.keys(Gr).length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),Ir=et.sendAsync({type:\"GG\",data:{stacks:Gr,source:this.source,tileID:this.tileID,type:\"glyphs\"}},Qn)}let Yr=Object.keys(Qt.iconDependencies),_i=Promise.resolve({});if(Yr.length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),_i=et.sendAsync({type:\"GI\",data:{icons:Yr,source:this.source,tileID:this.tileID,type:\"icons\"}},Qn)}let Pi=Object.keys(Qt.patternDependencies),ai=Promise.resolve({});if(Pi.length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),ai=et.sendAsync({type:\"GI\",data:{icons:Pi,source:this.source,tileID:this.tileID,type:\"patterns\"}},Qn)}let[mi,un,Fn]=yield Promise.all([Ir,_i,ai]),An=new o(mi),Hn=new i.bo(un,Fn);for(let Qn in Kt){let Vi=Kt[Qn];Vi instanceof i.a6?(l(Vi.layers,this.zoom,We),i.bp({bucket:Vi,glyphMap:mi,glyphPositions:An.positions,imageMap:un,imagePositions:Hn.iconPositions,showCollisionBoxes:this.showCollisionBoxes,canonical:this.tileID.canonical})):Vi.hasPattern&&(Vi instanceof i.bq||Vi instanceof i.br||Vi instanceof i.bs)&&(l(Vi.layers,this.zoom,We),Vi.addFeatures(Qt,this.tileID.canonical,Hn.patternPositions))}return this.status=\"done\",{buckets:Object.values(Kt).filter((Qn=>!Qn.isEmpty())),featureIndex:At,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:An.image,imageAtlas:Hn,glyphMap:this.returnDependencies?mi:null,iconMap:this.returnDependencies?un:null,glyphPositions:this.returnDependencies?An.positions:null}}))}}function l(gt,Ge,Je){let We=new i.z(Ge);for(let et of gt)et.recalculate(We,Je)}class u{constructor(Ge,Je,We){this.actor=Ge,this.layerIndex=Je,this.availableImages=We,this.fetching={},this.loading={},this.loaded={}}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=yield i.l(Ge.request,Je);try{return{vectorTile:new i.bt.VectorTile(new i.bu(We.data)),rawData:We.data,cacheControl:We.cacheControl,expires:We.expires}}catch(et){let xt=new Uint8Array(We.data),At=`Unable to parse the tile at ${Ge.request.url}, `;throw At+=xt[0]===31&&xt[1]===139?\"please make sure the data is not gzipped and that you have configured the relevant header in the server\":`got error: ${et.message}`,new Error(At)}}))}loadTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=Ge.uid,We=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request),et=new s(Ge);this.loading[Je]=et;let xt=new AbortController;et.abort=xt;try{let At=yield this.loadVectorTile(Ge,xt);if(delete this.loading[Je],!At)return null;let Kt=At.rawData,Qt={};At.expires&&(Qt.expires=At.expires),At.cacheControl&&(Qt.cacheControl=At.cacheControl);let Mr={};if(We){let Ir=We.finish();Ir&&(Mr.resourceTiming=JSON.parse(JSON.stringify(Ir)))}et.vectorTile=At.vectorTile;let Gr=et.parse(At.vectorTile,this.layerIndex,this.availableImages,this.actor);this.loaded[Je]=et,this.fetching[Je]={rawTileData:Kt,cacheControl:Qt,resourceTiming:Mr};try{let Ir=yield Gr;return i.e({rawTileData:Kt.slice(0)},Ir,Qt,Mr)}finally{delete this.fetching[Je]}}catch(At){throw delete this.loading[Je],et.status=\"done\",this.loaded[Je]=et,At}}))}reloadTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=Ge.uid;if(!this.loaded||!this.loaded[Je])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let We=this.loaded[Je];if(We.showCollisionBoxes=Ge.showCollisionBoxes,We.status===\"parsing\"){let et=yield We.parse(We.vectorTile,this.layerIndex,this.availableImages,this.actor),xt;if(this.fetching[Je]){let{rawTileData:At,cacheControl:Kt,resourceTiming:Qt}=this.fetching[Je];delete this.fetching[Je],xt=i.e({rawTileData:At.slice(0)},et,Kt,Qt)}else xt=et;return xt}if(We.status===\"done\"&&We.vectorTile)return We.parse(We.vectorTile,this.layerIndex,this.availableImages,this.actor)}))}abortTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=this.loading,We=Ge.uid;Je&&Je[We]&&Je[We].abort&&(Je[We].abort.abort(),delete Je[We])}))}removeTile(Ge){return i._(this,void 0,void 0,(function*(){this.loaded&&this.loaded[Ge.uid]&&delete this.loaded[Ge.uid]}))}}class c{constructor(){this.loaded={}}loadTile(Ge){return i._(this,void 0,void 0,(function*(){let{uid:Je,encoding:We,rawImageData:et,redFactor:xt,greenFactor:At,blueFactor:Kt,baseShift:Qt}=Ge,Mr=et.width+2,Gr=et.height+2,Ir=i.b(et)?new i.R({width:Mr,height:Gr},yield i.bw(et,-1,-1,Mr,Gr)):et,Yr=new i.bx(Je,Ir,We,xt,At,Kt,Qt);return this.loaded=this.loaded||{},this.loaded[Je]=Yr,Yr}))}removeTile(Ge){let Je=this.loaded,We=Ge.uid;Je&&Je[We]&&delete Je[We]}}function f(gt,Ge){if(gt.length!==0){h(gt[0],Ge);for(var Je=1;Je<gt.length;Je++)h(gt[Je],!Ge)}}function h(gt,Ge){for(var Je=0,We=0,et=0,xt=gt.length,At=xt-1;et<xt;At=et++){var Kt=(gt[et][0]-gt[At][0])*(gt[At][1]+gt[et][1]),Qt=Je+Kt;We+=Math.abs(Je)>=Math.abs(Kt)?Je-Qt+Kt:Kt-Qt+Je,Je=Qt}Je+We>=0!=!!Ge&&gt.reverse()}var d=i.by((function gt(Ge,Je){var We,et=Ge&&Ge.type;if(et===\"FeatureCollection\")for(We=0;We<Ge.features.length;We++)gt(Ge.features[We],Je);else if(et===\"GeometryCollection\")for(We=0;We<Ge.geometries.length;We++)gt(Ge.geometries[We],Je);else if(et===\"Feature\")gt(Ge.geometry,Je);else if(et===\"Polygon\")f(Ge.coordinates,Je);else if(et===\"MultiPolygon\")for(We=0;We<Ge.coordinates.length;We++)f(Ge.coordinates[We],Je);return Ge}));let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var m={exports:{}},b=i.bz,p=i.bt.VectorTileFeature,k=M;function M(gt,Ge){this.options=Ge||{},this.features=gt,this.length=gt.length}function T(gt,Ge){this.id=typeof gt.id==\"number\"?gt.id:void 0,this.type=gt.type,this.rawGeometry=gt.type===1?[gt.geometry]:gt.geometry,this.properties=gt.tags,this.extent=Ge||4096}M.prototype.feature=function(gt){return new T(this.features[gt],this.options.extent)},T.prototype.loadGeometry=function(){var gt=this.rawGeometry;this.geometry=[];for(var Ge=0;Ge<gt.length;Ge++){for(var Je=gt[Ge],We=[],et=0;et<Je.length;et++)We.push(new b(Je[et][0],Je[et][1]));this.geometry.push(We)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var gt=this.geometry,Ge=1/0,Je=-1/0,We=1/0,et=-1/0,xt=0;xt<gt.length;xt++)for(var At=gt[xt],Kt=0;Kt<At.length;Kt++){var Qt=At[Kt];Ge=Math.min(Ge,Qt.x),Je=Math.max(Je,Qt.x),We=Math.min(We,Qt.y),et=Math.max(et,Qt.y)}return[Ge,We,Je,et]},T.prototype.toGeoJSON=p.prototype.toGeoJSON;var L=i.bA,x=k;function C(gt){var Ge=new L;return(function(Je,We){for(var et in Je.layers)We.writeMessage(3,S,Je.layers[et])})(gt,Ge),Ge.finish()}function S(gt,Ge){var Je;Ge.writeVarintField(15,gt.version||1),Ge.writeStringField(1,gt.name||\"\"),Ge.writeVarintField(5,gt.extent||4096);var We={keys:[],values:[],keycache:{},valuecache:{}};for(Je=0;Je<gt.length;Je++)We.feature=gt.feature(Je),Ge.writeMessage(2,g,We);var et=We.keys;for(Je=0;Je<et.length;Je++)Ge.writeStringField(3,et[Je]);var xt=We.values;for(Je=0;Je<xt.length;Je++)Ge.writeMessage(4,V,xt[Je])}function g(gt,Ge){var Je=gt.feature;Je.id!==void 0&&Ge.writeVarintField(1,Je.id),Ge.writeMessage(2,P,gt),Ge.writeVarintField(3,Je.type),Ge.writeMessage(4,q,Je)}function P(gt,Ge){var Je=gt.feature,We=gt.keys,et=gt.values,xt=gt.keycache,At=gt.valuecache;for(var Kt in Je.properties){var Qt=Je.properties[Kt],Mr=xt[Kt];if(Qt!==null){Mr===void 0&&(We.push(Kt),xt[Kt]=Mr=We.length-1),Ge.writeVarint(Mr);var Gr=typeof Qt;Gr!==\"string\"&&Gr!==\"boolean\"&&Gr!==\"number\"&&(Qt=JSON.stringify(Qt));var Ir=Gr+\":\"+Qt,Yr=At[Ir];Yr===void 0&&(et.push(Qt),At[Ir]=Yr=et.length-1),Ge.writeVarint(Yr)}}}function E(gt,Ge){return(Ge<<3)+(7&gt)}function z(gt){return gt<<1^gt>>31}function q(gt,Ge){for(var Je=gt.loadGeometry(),We=gt.type,et=0,xt=0,At=Je.length,Kt=0;Kt<At;Kt++){var Qt=Je[Kt],Mr=1;We===1&&(Mr=Qt.length),Ge.writeVarint(E(1,Mr));for(var Gr=We===3?Qt.length-1:Qt.length,Ir=0;Ir<Gr;Ir++){Ir===1&&We!==1&&Ge.writeVarint(E(2,Gr-1));var Yr=Qt[Ir].x-et,_i=Qt[Ir].y-xt;Ge.writeVarint(z(Yr)),Ge.writeVarint(z(_i)),et+=Yr,xt+=_i}We===3&&Ge.writeVarint(E(7,1))}}function V(gt,Ge){var Je=typeof gt;Je===\"string\"?Ge.writeStringField(1,gt):Je===\"boolean\"?Ge.writeBooleanField(7,gt):Je===\"number\"&&(gt%1!=0?Ge.writeDoubleField(3,gt):gt<0?Ge.writeSVarintField(6,gt):Ge.writeVarintField(5,gt))}m.exports=C,m.exports.fromVectorTileJs=C,m.exports.fromGeojsonVt=function(gt,Ge){Ge=Ge||{};var Je={};for(var We in gt)Je[We]=new x(gt[We].features,Ge),Je[We].name=We,Je[We].version=Ge.version,Je[We].extent=Ge.extent;return C({layers:Je})},m.exports.GeoJSONWrapper=x;var G=i.by(m.exports);let Z={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:gt=>gt},j=Math.fround||(N=new Float32Array(1),gt=>(N[0]=+gt,N[0]));var N;let H=3,re=5,ae=6;class _e{constructor(Ge){this.options=Object.assign(Object.create(Z),Ge),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ge){let{log:Je,minZoom:We,maxZoom:et}=this.options;Je&&console.time(\"total time\");let xt=`prepare ${Ge.length} points`;Je&&console.time(xt),this.points=Ge;let At=[];for(let Qt=0;Qt<Ge.length;Qt++){let Mr=Ge[Qt];if(!Mr.geometry)continue;let[Gr,Ir]=Mr.geometry.coordinates,Yr=j(ge(Gr)),_i=j(ie(Ir));At.push(Yr,_i,1/0,Qt,-1,1),this.options.reduce&&At.push(0)}let Kt=this.trees[et+1]=this._createTree(At);Je&&console.timeEnd(xt);for(let Qt=et;Qt>=We;Qt--){let Mr=+Date.now();Kt=this.trees[Qt]=this._createTree(this._cluster(Kt,Qt)),Je&&console.log(\"z%d: %d clusters in %dms\",Qt,Kt.numItems,+Date.now()-Mr)}return Je&&console.timeEnd(\"total time\"),this}getClusters(Ge,Je){let We=((Ge[0]+180)%360+360)%360-180,et=Math.max(-90,Math.min(90,Ge[1])),xt=Ge[2]===180?180:((Ge[2]+180)%360+360)%360-180,At=Math.max(-90,Math.min(90,Ge[3]));if(Ge[2]-Ge[0]>=360)We=-180,xt=180;else if(We>xt){let Ir=this.getClusters([We,et,180,At],Je),Yr=this.getClusters([-180,et,xt,At],Je);return Ir.concat(Yr)}let Kt=this.trees[this._limitZoom(Je)],Qt=Kt.range(ge(We),ie(At),ge(xt),ie(et)),Mr=Kt.data,Gr=[];for(let Ir of Qt){let Yr=this.stride*Ir;Gr.push(Mr[Yr+re]>1?Ee(Mr,Yr,this.clusterProps):this.points[Mr[Yr+H]])}return Gr}getChildren(Ge){let Je=this._getOriginId(Ge),We=this._getOriginZoom(Ge),et=\"No cluster with the specified id.\",xt=this.trees[We];if(!xt)throw new Error(et);let At=xt.data;if(Je*this.stride>=At.length)throw new Error(et);let Kt=this.options.radius/(this.options.extent*Math.pow(2,We-1)),Qt=xt.within(At[Je*this.stride],At[Je*this.stride+1],Kt),Mr=[];for(let Gr of Qt){let Ir=Gr*this.stride;At[Ir+4]===Ge&&Mr.push(At[Ir+re]>1?Ee(At,Ir,this.clusterProps):this.points[At[Ir+H]])}if(Mr.length===0)throw new Error(et);return Mr}getLeaves(Ge,Je,We){let et=[];return this._appendLeaves(et,Ge,Je=Je||10,We=We||0,0),et}getTile(Ge,Je,We){let et=this.trees[this._limitZoom(Ge)],xt=Math.pow(2,Ge),{extent:At,radius:Kt}=this.options,Qt=Kt/At,Mr=(We-Qt)/xt,Gr=(We+1+Qt)/xt,Ir={features:[]};return this._addTileFeatures(et.range((Je-Qt)/xt,Mr,(Je+1+Qt)/xt,Gr),et.data,Je,We,xt,Ir),Je===0&&this._addTileFeatures(et.range(1-Qt/xt,Mr,1,Gr),et.data,xt,We,xt,Ir),Je===xt-1&&this._addTileFeatures(et.range(0,Mr,Qt/xt,Gr),et.data,-1,We,xt,Ir),Ir.features.length?Ir:null}getClusterExpansionZoom(Ge){let Je=this._getOriginZoom(Ge)-1;for(;Je<=this.options.maxZoom;){let We=this.getChildren(Ge);if(Je++,We.length!==1)break;Ge=We[0].properties.cluster_id}return Je}_appendLeaves(Ge,Je,We,et,xt){let At=this.getChildren(Je);for(let Kt of At){let Qt=Kt.properties;if(Qt&&Qt.cluster?xt+Qt.point_count<=et?xt+=Qt.point_count:xt=this._appendLeaves(Ge,Qt.cluster_id,We,et,xt):xt<et?xt++:Ge.push(Kt),Ge.length===We)break}return xt}_createTree(Ge){let Je=new i.av(Ge.length/this.stride|0,this.options.nodeSize,Float32Array);for(let We=0;We<Ge.length;We+=this.stride)Je.add(Ge[We],Ge[We+1]);return Je.finish(),Je.data=Ge,Je}_addTileFeatures(Ge,Je,We,et,xt,At){for(let Kt of Ge){let Qt=Kt*this.stride,Mr=Je[Qt+re]>1,Gr,Ir,Yr;if(Mr)Gr=Ce(Je,Qt,this.clusterProps),Ir=Je[Qt],Yr=Je[Qt+1];else{let ai=this.points[Je[Qt+H]];Gr=ai.properties;let[mi,un]=ai.geometry.coordinates;Ir=ge(mi),Yr=ie(un)}let _i={type:1,geometry:[[Math.round(this.options.extent*(Ir*xt-We)),Math.round(this.options.extent*(Yr*xt-et))]],tags:Gr},Pi;Pi=Mr||this.options.generateId?Je[Qt+H]:this.points[Je[Qt+H]].id,Pi!==void 0&&(_i.id=Pi),At.features.push(_i)}}_limitZoom(Ge){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ge),this.options.maxZoom+1))}_cluster(Ge,Je){let{radius:We,extent:et,reduce:xt,minPoints:At}=this.options,Kt=We/(et*Math.pow(2,Je)),Qt=Ge.data,Mr=[],Gr=this.stride;for(let Ir=0;Ir<Qt.length;Ir+=Gr){if(Qt[Ir+2]<=Je)continue;Qt[Ir+2]=Je;let Yr=Qt[Ir],_i=Qt[Ir+1],Pi=Ge.within(Qt[Ir],Qt[Ir+1],Kt),ai=Qt[Ir+re],mi=ai;for(let un of Pi){let Fn=un*Gr;Qt[Fn+2]>Je&&(mi+=Qt[Fn+re])}if(mi>ai&&mi>=At){let un,Fn=Yr*ai,An=_i*ai,Hn=-1,Qn=((Ir/Gr|0)<<5)+(Je+1)+this.points.length;for(let Vi of Pi){let Jn=Vi*Gr;if(Qt[Jn+2]<=Je)continue;Qt[Jn+2]=Je;let Yn=Qt[Jn+re];Fn+=Qt[Jn]*Yn,An+=Qt[Jn+1]*Yn,Qt[Jn+4]=Qn,xt&&(un||(un=this._map(Qt,Ir,!0),Hn=this.clusterProps.length,this.clusterProps.push(un)),xt(un,this._map(Qt,Jn)))}Qt[Ir+4]=Qn,Mr.push(Fn/mi,An/mi,1/0,Qn,-1,mi),xt&&Mr.push(Hn)}else{for(let un=0;un<Gr;un++)Mr.push(Qt[Ir+un]);if(mi>1)for(let un of Pi){let Fn=un*Gr;if(!(Qt[Fn+2]<=Je)){Qt[Fn+2]=Je;for(let An=0;An<Gr;An++)Mr.push(Qt[Fn+An])}}}}return Mr}_getOriginId(Ge){return Ge-this.points.length>>5}_getOriginZoom(Ge){return(Ge-this.points.length)%32}_map(Ge,Je,We){if(Ge[Je+re]>1){let At=this.clusterProps[Ge[Je+ae]];return We?Object.assign({},At):At}let et=this.points[Ge[Je+H]].properties,xt=this.options.map(et);return We&&xt===et?Object.assign({},xt):xt}}function Ee(gt,Ge,Je){return{type:\"Feature\",id:gt[Ge+H],properties:Ce(gt,Ge,Je),geometry:{type:\"Point\",coordinates:[(We=gt[Ge],360*(We-.5)),Se(gt[Ge+1])]}};var We}function Ce(gt,Ge,Je){let We=gt[Ge+re],et=We>=1e4?`${Math.round(We/1e3)}k`:We>=1e3?Math.round(We/100)/10+\"k\":We,xt=gt[Ge+ae],At=xt===-1?{}:Object.assign({},Je[xt]);return Object.assign(At,{cluster:!0,cluster_id:gt[Ge+H],point_count:We,point_count_abbreviated:et})}function ge(gt){return gt/360+.5}function ie(gt){let Ge=Math.sin(gt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Se(gt){let Ge=(180-360*gt)*Math.PI/180;return 360*Math.atan(Math.exp(Ge))/Math.PI-90}function ke(gt,Ge,Je,We){let et=We,xt=Ge+(Je-Ge>>1),At,Kt=Je-Ge,Qt=gt[Ge],Mr=gt[Ge+1],Gr=gt[Je],Ir=gt[Je+1];for(let Yr=Ge+3;Yr<Je;Yr+=3){let _i=be(gt[Yr],gt[Yr+1],Qt,Mr,Gr,Ir);if(_i>et)At=Yr,et=_i;else if(_i===et){let Pi=Math.abs(Yr-xt);Pi<Kt&&(At=Yr,Kt=Pi)}}et>We&&(At-Ge>3&&ke(gt,Ge,At,We),gt[At+2]=et,Je-At>3&&ke(gt,At,Je,We))}function be(gt,Ge,Je,We,et,xt){let At=et-Je,Kt=xt-We;if(At!==0||Kt!==0){let Qt=((gt-Je)*At+(Ge-We)*Kt)/(At*At+Kt*Kt);Qt>1?(Je=et,We=xt):Qt>0&&(Je+=At*Qt,We+=Kt*Qt)}return At=gt-Je,Kt=Ge-We,At*At+Kt*Kt}function Be(gt,Ge,Je,We){let et={id:gt==null?null:gt,type:Ge,geometry:Je,tags:We,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ge===\"Point\"||Ge===\"MultiPoint\"||Ge===\"LineString\")Le(et,Je);else if(Ge===\"Polygon\")Le(et,Je[0]);else if(Ge===\"MultiLineString\")for(let xt of Je)Le(et,xt);else if(Ge===\"MultiPolygon\")for(let xt of Je)Le(et,xt[0]);return et}function Le(gt,Ge){for(let Je=0;Je<Ge.length;Je+=3)gt.minX=Math.min(gt.minX,Ge[Je]),gt.minY=Math.min(gt.minY,Ge[Je+1]),gt.maxX=Math.max(gt.maxX,Ge[Je]),gt.maxY=Math.max(gt.maxY,Ge[Je+1])}function me(gt,Ge,Je,We){if(!Ge.geometry)return;let et=Ge.geometry.coordinates;if(et&&et.length===0)return;let xt=Ge.geometry.type,At=Math.pow(Je.tolerance/((1<<Je.maxZoom)*Je.extent),2),Kt=[],Qt=Ge.id;if(Je.promoteId?Qt=Ge.properties[Je.promoteId]:Je.generateId&&(Qt=We||0),xt===\"Point\")Pe(et,Kt);else if(xt===\"MultiPoint\")for(let Mr of et)Pe(Mr,Kt);else if(xt===\"LineString\")ce(et,Kt,At,!1);else if(xt===\"MultiLineString\"){if(Je.lineMetrics){for(let Mr of et)Kt=[],ce(Mr,Kt,At,!1),gt.push(Be(Qt,\"LineString\",Kt,Ge.properties));return}He(et,Kt,At,!1)}else if(xt===\"Polygon\")He(et,Kt,At,!0);else{if(xt!==\"MultiPolygon\"){if(xt===\"GeometryCollection\"){for(let Mr of Ge.geometry.geometries)me(gt,{id:Qt,geometry:Mr,properties:Ge.properties},Je,We);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let Mr of et){let Gr=[];He(Mr,Gr,At,!0),Kt.push(Gr)}}gt.push(Be(Qt,xt,Kt,Ge.properties))}function Pe(gt,Ge){Ge.push(lt(gt[0]),mt(gt[1]),0)}function ce(gt,Ge,Je,We){let et,xt,At=0;for(let Qt=0;Qt<gt.length;Qt++){let Mr=lt(gt[Qt][0]),Gr=mt(gt[Qt][1]);Ge.push(Mr,Gr,0),Qt>0&&(At+=We?(et*Gr-Mr*xt)/2:Math.sqrt(Math.pow(Mr-et,2)+Math.pow(Gr-xt,2))),et=Mr,xt=Gr}let Kt=Ge.length-3;Ge[2]=1,ke(Ge,0,Kt,Je),Ge[Kt+2]=1,Ge.size=Math.abs(At),Ge.start=0,Ge.end=Ge.size}function He(gt,Ge,Je,We){for(let et=0;et<gt.length;et++){let xt=[];ce(gt[et],xt,Je,We),Ge.push(xt)}}function lt(gt){return gt/360+.5}function mt(gt){let Ge=Math.sin(gt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Ht(gt,Ge,Je,We,et,xt,At,Kt){if(We/=Ge,xt>=(Je/=Ge)&&At<We)return gt;if(At<Je||xt>=We)return null;let Qt=[];for(let Mr of gt){let Gr=Mr.geometry,Ir=Mr.type,Yr=et===0?Mr.minX:Mr.minY,_i=et===0?Mr.maxX:Mr.maxY;if(Yr>=Je&&_i<We){Qt.push(Mr);continue}if(_i<Je||Yr>=We)continue;let Pi=[];if(Ir===\"Point\"||Ir===\"MultiPoint\")at(Gr,Pi,Je,We,et);else if(Ir===\"LineString\")ct(Gr,Pi,Je,We,et,!1,Kt.lineMetrics);else if(Ir===\"MultiLineString\")Vt(Gr,Pi,Je,We,et,!1);else if(Ir===\"Polygon\")Vt(Gr,Pi,Je,We,et,!0);else if(Ir===\"MultiPolygon\")for(let ai of Gr){let mi=[];Vt(ai,mi,Je,We,et,!0),mi.length&&Pi.push(mi)}if(Pi.length){if(Kt.lineMetrics&&Ir===\"LineString\"){for(let ai of Pi)Qt.push(Be(Mr.id,Ir,ai,Mr.tags));continue}Ir!==\"LineString\"&&Ir!==\"MultiLineString\"||(Pi.length===1?(Ir=\"LineString\",Pi=Pi[0]):Ir=\"MultiLineString\"),Ir!==\"Point\"&&Ir!==\"MultiPoint\"||(Ir=Pi.length===3?\"Point\":\"MultiPoint\"),Qt.push(Be(Mr.id,Ir,Pi,Mr.tags))}}return Qt.length?Qt:null}function at(gt,Ge,Je,We,et){for(let xt=0;xt<gt.length;xt+=3){let At=gt[xt+et];At>=Je&&At<=We&&rr(Ge,gt[xt],gt[xt+1],gt[xt+2])}}function ct(gt,Ge,Je,We,et,xt,At){let Kt=ar(gt),Qt=et===0?tt:je,Mr,Gr,Ir=gt.start;for(let mi=0;mi<gt.length-3;mi+=3){let un=gt[mi],Fn=gt[mi+1],An=gt[mi+2],Hn=gt[mi+3],Qn=gt[mi+4],Vi=et===0?un:Fn,Jn=et===0?Hn:Qn,Yn=!1;At&&(Mr=Math.sqrt(Math.pow(un-Hn,2)+Math.pow(Fn-Qn,2))),Vi<Je?Jn>Je&&(Gr=Qt(Kt,un,Fn,Hn,Qn,Je),At&&(Kt.start=Ir+Mr*Gr)):Vi>We?Jn<We&&(Gr=Qt(Kt,un,Fn,Hn,Qn,We),At&&(Kt.start=Ir+Mr*Gr)):rr(Kt,un,Fn,An),Jn<Je&&Vi>=Je&&(Gr=Qt(Kt,un,Fn,Hn,Qn,Je),Yn=!0),Jn>We&&Vi<=We&&(Gr=Qt(Kt,un,Fn,Hn,Qn,We),Yn=!0),!xt&&Yn&&(At&&(Kt.end=Ir+Mr*Gr),Ge.push(Kt),Kt=ar(gt)),At&&(Ir+=Mr)}let Yr=gt.length-3,_i=gt[Yr],Pi=gt[Yr+1],ai=et===0?_i:Pi;ai>=Je&&ai<=We&&rr(Kt,_i,Pi,gt[Yr+2]),Yr=Kt.length-3,xt&&Yr>=3&&(Kt[Yr]!==Kt[0]||Kt[Yr+1]!==Kt[1])&&rr(Kt,Kt[0],Kt[1],Kt[2]),Kt.length&&Ge.push(Kt)}function ar(gt){let Ge=[];return Ge.size=gt.size,Ge.start=gt.start,Ge.end=gt.end,Ge}function Vt(gt,Ge,Je,We,et,xt){for(let At of gt)ct(At,Ge,Je,We,et,xt,!1)}function rr(gt,Ge,Je,We){gt.push(Ge,Je,We)}function tt(gt,Ge,Je,We,et,xt){let At=(xt-Ge)/(We-Ge);return rr(gt,xt,Je+(et-Je)*At,1),At}function je(gt,Ge,Je,We,et,xt){let At=(xt-Je)/(et-Je);return rr(gt,Ge+(We-Ge)*At,xt,1),At}function Ue(gt,Ge){let Je=[];for(let We=0;We<gt.length;We++){let et=gt[We],xt=et.type,At;if(xt===\"Point\"||xt===\"MultiPoint\"||xt===\"LineString\")At=Ae(et.geometry,Ge);else if(xt===\"MultiLineString\"||xt===\"Polygon\"){At=[];for(let Kt of et.geometry)At.push(Ae(Kt,Ge))}else if(xt===\"MultiPolygon\"){At=[];for(let Kt of et.geometry){let Qt=[];for(let Mr of Kt)Qt.push(Ae(Mr,Ge));At.push(Qt)}}Je.push(Be(et.id,xt,At,et.tags))}return Je}function Ae(gt,Ge){let Je=[];Je.size=gt.size,gt.start!==void 0&&(Je.start=gt.start,Je.end=gt.end);for(let We=0;We<gt.length;We+=3)Je.push(gt[We]+Ge,gt[We+1],gt[We+2]);return Je}function rt(gt,Ge){if(gt.transformed)return gt;let Je=1<<gt.z,We=gt.x,et=gt.y;for(let xt of gt.features){let At=xt.geometry,Kt=xt.type;if(xt.geometry=[],Kt===1)for(let Qt=0;Qt<At.length;Qt+=2)xt.geometry.push(St(At[Qt],At[Qt+1],Ge,Je,We,et));else for(let Qt=0;Qt<At.length;Qt++){let Mr=[];for(let Gr=0;Gr<At[Qt].length;Gr+=2)Mr.push(St(At[Qt][Gr],At[Qt][Gr+1],Ge,Je,We,et));xt.geometry.push(Mr)}}return gt.transformed=!0,gt}function St(gt,Ge,Je,We,et,xt){return[Math.round(Je*(gt*We-et)),Math.round(Je*(Ge*We-xt))]}function Tt(gt,Ge,Je,We,et){let xt=Ge===et.maxZoom?0:et.tolerance/((1<<Ge)*et.extent),At={features:[],numPoints:0,numSimplified:0,numFeatures:gt.length,source:null,x:Je,y:We,z:Ge,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let Kt of gt)dt(At,Kt,xt,et);return At}function dt(gt,Ge,Je,We){let et=Ge.geometry,xt=Ge.type,At=[];if(gt.minX=Math.min(gt.minX,Ge.minX),gt.minY=Math.min(gt.minY,Ge.minY),gt.maxX=Math.max(gt.maxX,Ge.maxX),gt.maxY=Math.max(gt.maxY,Ge.maxY),xt===\"Point\"||xt===\"MultiPoint\")for(let Kt=0;Kt<et.length;Kt+=3)At.push(et[Kt],et[Kt+1]),gt.numPoints++,gt.numSimplified++;else if(xt===\"LineString\")Et(At,et,gt,Je,!1,!1);else if(xt===\"MultiLineString\"||xt===\"Polygon\")for(let Kt=0;Kt<et.length;Kt++)Et(At,et[Kt],gt,Je,xt===\"Polygon\",Kt===0);else if(xt===\"MultiPolygon\")for(let Kt=0;Kt<et.length;Kt++){let Qt=et[Kt];for(let Mr=0;Mr<Qt.length;Mr++)Et(At,Qt[Mr],gt,Je,!0,Mr===0)}if(At.length){let Kt=Ge.tags||null;if(xt===\"LineString\"&&We.lineMetrics){Kt={};for(let Mr in Ge.tags)Kt[Mr]=Ge.tags[Mr];Kt.mapbox_clip_start=et.start/et.size,Kt.mapbox_clip_end=et.end/et.size}let Qt={geometry:At,type:xt===\"Polygon\"||xt===\"MultiPolygon\"?3:xt===\"LineString\"||xt===\"MultiLineString\"?2:1,tags:Kt};Ge.id!==null&&(Qt.id=Ge.id),gt.features.push(Qt)}}function Et(gt,Ge,Je,We,et,xt){let At=We*We;if(We>0&&Ge.size<(et?At:We))return void(Je.numPoints+=Ge.length/3);let Kt=[];for(let Qt=0;Qt<Ge.length;Qt+=3)(We===0||Ge[Qt+2]>At)&&(Je.numSimplified++,Kt.push(Ge[Qt],Ge[Qt+1])),Je.numPoints++;et&&(function(Qt,Mr){let Gr=0;for(let Ir=0,Yr=Qt.length,_i=Yr-2;Ir<Yr;_i=Ir,Ir+=2)Gr+=(Qt[Ir]-Qt[_i])*(Qt[Ir+1]+Qt[_i+1]);if(Gr>0===Mr)for(let Ir=0,Yr=Qt.length;Ir<Yr/2;Ir+=2){let _i=Qt[Ir],Pi=Qt[Ir+1];Qt[Ir]=Qt[Yr-2-Ir],Qt[Ir+1]=Qt[Yr-1-Ir],Qt[Yr-2-Ir]=_i,Qt[Yr-1-Ir]=Pi}})(Kt,xt),gt.push(Kt)}let pt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class jt{constructor(Ge,Je){let We=(Je=this.options=(function(xt,At){for(let Kt in At)xt[Kt]=At[Kt];return xt})(Object.create(pt),Je)).debug;if(We&&console.time(\"preprocess data\"),Je.maxZoom<0||Je.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Je.promoteId&&Je.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let et=(function(xt,At){let Kt=[];if(xt.type===\"FeatureCollection\")for(let Qt=0;Qt<xt.features.length;Qt++)me(Kt,xt.features[Qt],At,Qt);else me(Kt,xt.type===\"Feature\"?xt:{geometry:xt},At);return Kt})(Ge,Je);this.tiles={},this.tileCoords=[],We&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Je.indexMaxZoom,Je.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),et=(function(xt,At){let Kt=At.buffer/At.extent,Qt=xt,Mr=Ht(xt,1,-1-Kt,Kt,0,-1,2,At),Gr=Ht(xt,1,1-Kt,2+Kt,0,-1,2,At);return(Mr||Gr)&&(Qt=Ht(xt,1,-Kt,1+Kt,0,-1,2,At)||[],Mr&&(Qt=Ue(Mr,1).concat(Qt)),Gr&&(Qt=Qt.concat(Ue(Gr,-1)))),Qt})(et,Je),et.length&&this.splitTile(et,0,0,0),We&&(et.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(Ge,Je,We,et,xt,At,Kt){let Qt=[Ge,Je,We,et],Mr=this.options,Gr=Mr.debug;for(;Qt.length;){et=Qt.pop(),We=Qt.pop(),Je=Qt.pop(),Ge=Qt.pop();let Ir=1<<Je,Yr=or(Je,We,et),_i=this.tiles[Yr];if(!_i&&(Gr>1&&console.time(\"creation\"),_i=this.tiles[Yr]=Tt(Ge,Je,We,et,Mr),this.tileCoords.push({z:Je,x:We,y:et}),Gr)){Gr>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Je,We,et,_i.numFeatures,_i.numPoints,_i.numSimplified),console.timeEnd(\"creation\"));let Yn=`z${Je}`;this.stats[Yn]=(this.stats[Yn]||0)+1,this.total++}if(_i.source=Ge,xt==null){if(Je===Mr.indexMaxZoom||_i.numPoints<=Mr.indexMaxPoints)continue}else{if(Je===Mr.maxZoom||Je===xt)continue;if(xt!=null){let Yn=xt-Je;if(We!==At>>Yn||et!==Kt>>Yn)continue}}if(_i.source=null,Ge.length===0)continue;Gr>1&&console.time(\"clipping\");let Pi=.5*Mr.buffer/Mr.extent,ai=.5-Pi,mi=.5+Pi,un=1+Pi,Fn=null,An=null,Hn=null,Qn=null,Vi=Ht(Ge,Ir,We-Pi,We+mi,0,_i.minX,_i.maxX,Mr),Jn=Ht(Ge,Ir,We+ai,We+un,0,_i.minX,_i.maxX,Mr);Ge=null,Vi&&(Fn=Ht(Vi,Ir,et-Pi,et+mi,1,_i.minY,_i.maxY,Mr),An=Ht(Vi,Ir,et+ai,et+un,1,_i.minY,_i.maxY,Mr),Vi=null),Jn&&(Hn=Ht(Jn,Ir,et-Pi,et+mi,1,_i.minY,_i.maxY,Mr),Qn=Ht(Jn,Ir,et+ai,et+un,1,_i.minY,_i.maxY,Mr),Jn=null),Gr>1&&console.timeEnd(\"clipping\"),Qt.push(Fn||[],Je+1,2*We,2*et),Qt.push(An||[],Je+1,2*We,2*et+1),Qt.push(Hn||[],Je+1,2*We+1,2*et),Qt.push(Qn||[],Je+1,2*We+1,2*et+1)}}getTile(Ge,Je,We){Ge=+Ge,Je=+Je,We=+We;let et=this.options,{extent:xt,debug:At}=et;if(Ge<0||Ge>24)return null;let Kt=1<<Ge,Qt=or(Ge,Je=Je+Kt&Kt-1,We);if(this.tiles[Qt])return rt(this.tiles[Qt],xt);At>1&&console.log(\"drilling down to z%d-%d-%d\",Ge,Je,We);let Mr,Gr=Ge,Ir=Je,Yr=We;for(;!Mr&&Gr>0;)Gr--,Ir>>=1,Yr>>=1,Mr=this.tiles[or(Gr,Ir,Yr)];return Mr&&Mr.source?(At>1&&(console.log(\"found parent tile z%d-%d-%d\",Gr,Ir,Yr),console.time(\"drilling down\")),this.splitTile(Mr.source,Gr,Ir,Yr,Ge,Je,We),At>1&&console.timeEnd(\"drilling down\"),this.tiles[Qt]?rt(this.tiles[Qt],xt):null):null}}function or(gt,Ge,Je){return 32*((1<<gt)*Je+Ge)+gt}function mr(gt,Ge){return Ge?gt.properties[Ge]:gt.id}function Ar(gt,Ge){if(gt==null)return!0;if(gt.type===\"Feature\")return mr(gt,Ge)!=null;if(gt.type===\"FeatureCollection\"){let Je=new Set;for(let We of gt.features){let et=mr(We,Ge);if(et==null||Je.has(et))return!1;Je.add(et)}return!0}return!1}function ei(gt,Ge){let Je=new Map;if(gt!=null)if(gt.type===\"Feature\")Je.set(mr(gt,Ge),gt);else for(let We of gt.features)Je.set(mr(We,Ge),We);return Je}class qr extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=Ge.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let et=this._geoJSONIndex.getTile(We.z,We.x,We.y);if(!et)return null;let xt=new class{constructor(Kt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=Kt.length,this._features=Kt}feature(Kt){return new class{constructor(Qt){this._feature=Qt,this.extent=i.X,this.type=Qt.type,this.properties=Qt.tags,\"id\"in Qt&&!isNaN(Qt.id)&&(this.id=parseInt(Qt.id,10))}loadGeometry(){if(this._feature.type===1){let Qt=[];for(let Mr of this._feature.geometry)Qt.push([new i.P(Mr[0],Mr[1])]);return Qt}{let Qt=[];for(let Mr of this._feature.geometry){let Gr=[];for(let Ir of Mr)Gr.push(new i.P(Ir[0],Ir[1]));Qt.push(Gr)}return Qt}}toGeoJSON(Qt,Mr,Gr){return v.call(this,Qt,Mr,Gr)}}(this._features[Kt])}}(et.features),At=G(xt);return At.byteOffset===0&&At.byteLength===At.buffer.byteLength||(At=new Uint8Array(At)),{vectorTile:xt,rawData:At.buffer}}))}loadData(Ge){return i._(this,void 0,void 0,(function*(){var Je;(Je=this._pendingRequest)===null||Je===void 0||Je.abort();let We=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ge,this._pendingRequest),this._geoJSONIndex=Ge.cluster?new _e((function({superclusterOptions:At,clusterProperties:Kt}){if(!Kt||!At)return At;let Qt={},Mr={},Gr={accumulated:null,zoom:0},Ir={properties:null},Yr=Object.keys(Kt);for(let _i of Yr){let[Pi,ai]=Kt[_i],mi=i.bC(ai),un=i.bC(typeof Pi==\"string\"?[Pi,[\"accumulated\"],[\"get\",_i]]:Pi);Qt[_i]=mi.value,Mr[_i]=un.value}return At.map=_i=>{Ir.properties=_i;let Pi={};for(let ai of Yr)Pi[ai]=Qt[ai].evaluate(Gr,Ir);return Pi},At.reduce=(_i,Pi)=>{Ir.properties=Pi;for(let ai of Yr)Gr.accumulated=_i[ai],_i[ai]=Mr[ai].evaluate(Gr,Ir)},At})(Ge)).load((yield this._pendingData).features):(et=yield this._pendingData,new jt(et,Ge.geojsonVtOptions)),this.loaded={};let xt={};if(We){let At=We.finish();At&&(xt.resourceTiming={},xt.resourceTiming[Ge.source]=JSON.parse(JSON.stringify(At)))}return xt}catch(xt){if(delete this._pendingRequest,i.bB(xt))return{abandoned:!0};throw xt}var et}))}getData(){return i._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(Ge){let Je=this.loaded;return Je&&Je[Ge.uid]?super.reloadTile(Ge):this.loadTile(Ge)}loadAndProcessGeoJSON(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=yield this.loadGeoJSON(Ge,Je);if(delete this._pendingRequest,typeof We!=\"object\")throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(d(We,!0),Ge.filter){let et=i.bC(Ge.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(et.result===\"error\")throw new Error(et.value.map((At=>`${At.key}: ${At.message}`)).join(\", \"));We={type:\"FeatureCollection\",features:We.features.filter((At=>et.value.evaluate({zoom:0},At)))}}return We}))}loadGeoJSON(Ge,Je){return i._(this,void 0,void 0,(function*(){let{promoteId:We}=Ge;if(Ge.request){let et=yield i.h(Ge.request,Je);return this._dataUpdateable=Ar(et.data,We)?ei(et.data,We):void 0,et.data}if(typeof Ge.data==\"string\")try{let et=JSON.parse(Ge.data);return this._dataUpdateable=Ar(et,We)?ei(et,We):void 0,et}catch(et){throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`)}if(!Ge.dataDiff)throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ge.source}`);return(function(et,xt,At){var Kt,Qt,Mr,Gr;if(xt.removeAll&&et.clear(),xt.remove)for(let Ir of xt.remove)et.delete(Ir);if(xt.add)for(let Ir of xt.add){let Yr=mr(Ir,At);Yr!=null&&et.set(Yr,Ir)}if(xt.update)for(let Ir of xt.update){let Yr=et.get(Ir.id);if(Yr==null)continue;let _i=!Ir.removeAllProperties&&(((Kt=Ir.removeProperties)===null||Kt===void 0?void 0:Kt.length)>0||((Qt=Ir.addOrUpdateProperties)===null||Qt===void 0?void 0:Qt.length)>0);if((Ir.newGeometry||Ir.removeAllProperties||_i)&&(Yr=Object.assign({},Yr),et.set(Ir.id,Yr),_i&&(Yr.properties=Object.assign({},Yr.properties))),Ir.newGeometry&&(Yr.geometry=Ir.newGeometry),Ir.removeAllProperties)Yr.properties={};else if(((Mr=Ir.removeProperties)===null||Mr===void 0?void 0:Mr.length)>0)for(let Pi of Ir.removeProperties)Object.prototype.hasOwnProperty.call(Yr.properties,Pi)&&delete Yr.properties[Pi];if(((Gr=Ir.addOrUpdateProperties)===null||Gr===void 0?void 0:Gr.length)>0)for(let{key:Pi,value:ai}of Ir.addOrUpdateProperties)Yr.properties[Pi]=ai}})(this._dataUpdateable,Ge.dataDiff,We),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(Ge){return i._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(Ge){return this._geoJSONIndex.getClusterExpansionZoom(Ge.clusterId)}getClusterChildren(Ge){return this._geoJSONIndex.getChildren(Ge.clusterId)}getClusterLeaves(Ge){return this._geoJSONIndex.getLeaves(Ge.clusterId,Ge.limit,Ge.offset)}}class jr{constructor(Ge){this.self=Ge,this.actor=new i.F(Ge),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Je,We)=>{if(this.externalWorkerSourceTypes[Je])throw new Error(`Worker source with name \"${Je}\" already registered.`);this.externalWorkerSourceTypes[Je]=We},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Je=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Je)},this.actor.registerMessageHandler(\"LDT\",((Je,We)=>this._getDEMWorkerSource(Je,We.source).loadTile(We))),this.actor.registerMessageHandler(\"RDT\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(Je,We.source).removeTile(We)})))),this.actor.registerMessageHandler(\"GCEZ\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterExpansionZoom(We)})))),this.actor.registerMessageHandler(\"GCC\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterChildren(We)})))),this.actor.registerMessageHandler(\"GCL\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterLeaves(We)})))),this.actor.registerMessageHandler(\"LD\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).loadData(We))),this.actor.registerMessageHandler(\"GD\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).getData())),this.actor.registerMessageHandler(\"LT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).loadTile(We))),this.actor.registerMessageHandler(\"RT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).reloadTile(We))),this.actor.registerMessageHandler(\"AT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).abortTile(We))),this.actor.registerMessageHandler(\"RMT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).removeTile(We))),this.actor.registerMessageHandler(\"RS\",((Je,We)=>i._(this,void 0,void 0,(function*(){if(!this.workerSources[Je]||!this.workerSources[Je][We.type]||!this.workerSources[Je][We.type][We.source])return;let et=this.workerSources[Je][We.type][We.source];delete this.workerSources[Je][We.type][We.source],et.removeSource!==void 0&&et.removeSource(We)})))),this.actor.registerMessageHandler(\"RM\",(Je=>i._(this,void 0,void 0,(function*(){delete this.layerIndexes[Je],delete this.availableImages[Je],delete this.workerSources[Je],delete this.demWorkerSources[Je]})))),this.actor.registerMessageHandler(\"SR\",((Je,We)=>i._(this,void 0,void 0,(function*(){this.referrer=We})))),this.actor.registerMessageHandler(\"SRPS\",((Je,We)=>this._syncRTLPluginState(Je,We))),this.actor.registerMessageHandler(\"IS\",((Je,We)=>i._(this,void 0,void 0,(function*(){this.self.importScripts(We)})))),this.actor.registerMessageHandler(\"SI\",((Je,We)=>this._setImages(Je,We))),this.actor.registerMessageHandler(\"UL\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getLayerIndex(Je).update(We.layers,We.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getLayerIndex(Je).replace(We)}))))}_setImages(Ge,Je){return i._(this,void 0,void 0,(function*(){this.availableImages[Ge]=Je;for(let We in this.workerSources[Ge]){let et=this.workerSources[Ge][We];for(let xt in et)et[xt].availableImages=Je}}))}_syncRTLPluginState(Ge,Je){return i._(this,void 0,void 0,(function*(){if(i.bD.isParsed())return i.bD.getState();if(Je.pluginStatus!==\"loading\")return i.bD.setState(Je),Je;let We=Je.pluginURL;if(this.self.importScripts(We),i.bD.isParsed()){let et={pluginStatus:\"loaded\",pluginURL:We};return i.bD.setState(et),et}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${We}`)}))}_getAvailableImages(Ge){let Je=this.availableImages[Ge];return Je||(Je=[]),Je}_getLayerIndex(Ge){let Je=this.layerIndexes[Ge];return Je||(Je=this.layerIndexes[Ge]=new a),Je}_getWorkerSource(Ge,Je,We){if(this.workerSources[Ge]||(this.workerSources[Ge]={}),this.workerSources[Ge][Je]||(this.workerSources[Ge][Je]={}),!this.workerSources[Ge][Je][We]){let et={sendAsync:(xt,At)=>(xt.targetMapId=Ge,this.actor.sendAsync(xt,At))};switch(Je){case\"vector\":this.workerSources[Ge][Je][We]=new u(et,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;case\"geojson\":this.workerSources[Ge][Je][We]=new qr(et,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;default:this.workerSources[Ge][Je][We]=new this.externalWorkerSourceTypes[Je](et,this._getLayerIndex(Ge),this._getAvailableImages(Ge))}}return this.workerSources[Ge][Je][We]}_getDEMWorkerSource(Ge,Je){return this.demWorkerSources[Ge]||(this.demWorkerSources[Ge]={}),this.demWorkerSources[Ge][Je]||(this.demWorkerSources[Ge][Je]=new c),this.demWorkerSources[Ge][Je]}}return i.i(self)&&(self.worker=new jr(self)),jr})),r(\"index\",[\"exports\",\"./shared\"],(function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:ue=>new Promise(((w,B)=>{let 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0&&(ee.className=B),Q&&Q.appendChild(ee),ee}static createNS(w,B){return window.document.createElementNS(w,B)}static disableDrag(){c.docStyle&&c.selectProp&&(c.userSelect=c.docStyle[c.selectProp],c.docStyle[c.selectProp]=\"none\")}static enableDrag(){c.docStyle&&c.selectProp&&(c.docStyle[c.selectProp]=c.userSelect)}static setTransform(w,B){w.style[c.transformProp]=B}static addEventListener(w,B,Q,ee={}){w.addEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static removeEventListener(w,B,Q,ee={}){w.removeEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static suppressClickInternal(w){w.preventDefault(),w.stopPropagation(),window.removeEventListener(\"click\",c.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",c.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",c.suppressClickInternal,!0)}),0)}static getScale(w){let B=w.getBoundingClientRect();return{x:B.width/w.offsetWidth||1,y:B.height/w.offsetHeight||1,boundingClientRect:B}}static getPoint(w,B,Q){let ee=B.boundingClientRect;return new a.P((Q.clientX-ee.left)/B.x-w.clientLeft,(Q.clientY-ee.top)/B.y-w.clientTop)}static mousePos(w,B){let Q=c.getScale(w);return c.getPoint(w,Q,B)}static touchPos(w,B){let Q=[],ee=c.getScale(w);for(let le=0;le<B.length;le++)Q.push(c.getPoint(w,ee,B[le]));return Q}static mouseButton(w){return w.button}static remove(w){w.parentNode&&w.parentNode.removeChild(w)}}c.docStyle=typeof window!=\"undefined\"&&window.document&&window.document.documentElement.style,c.selectProp=c.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),c.transformProp=c.testProp([\"transform\",\"WebkitTransform\"]);let f={supported:!1,testSupport:function(ue){!v&&d&&(m?b(ue):h=ue)}},h,d,v=!1,m=!1;function b(ue){let w=ue.createTexture();ue.bindTexture(ue.TEXTURE_2D,w);try{if(ue.texImage2D(ue.TEXTURE_2D,0,ue.RGBA,ue.RGBA,ue.UNSIGNED_BYTE,d),ue.isContextLost())return;f.supported=!0}catch(B){}ue.deleteTexture(w),v=!0}var p;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,m=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),(function(ue){let w,B,Q,ee;ue.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},ue.addThrottleControl=ut=>{let Mt=Q++;return ee[Mt]=ut,Mt},ue.removeThrottleControl=ut=>{delete ee[ut],Fe()},ue.getImage=(ut,Mt,Jt=!0)=>new Promise((($t,yr)=>{f.supported&&(ut.headers||(ut.headers={}),ut.headers.accept=\"image/webp,*/*\"),a.e(ut,{type:\"image\"}),w.push({abortController:Mt,requestParameters:ut,supportImageRefresh:Jt,state:\"queued\",onError:Cr=>{yr(Cr)},onSuccess:Cr=>{$t(Cr)}}),Fe()}));let le=ut=>a._(this,void 0,void 0,(function*(){ut.state=\"running\";let{requestParameters:Mt,supportImageRefresh:Jt,onError:$t,onSuccess:yr,abortController:Cr}=ut,ve=Jt===!1&&!a.i(self)&&!a.g(Mt.url)&&(!Mt.headers||Object.keys(Mt.headers).reduce(((ze,Qe)=>ze&&Qe===\"accept\"),!0));B++;let xe=ve?Ze(Mt,Cr):a.m(Mt,Cr);try{let ze=yield xe;delete ut.abortController,ut.state=\"completed\",ze.data instanceof HTMLImageElement||a.b(ze.data)?yr(ze):ze.data&&yr({data:yield(Ie=ze.data,typeof createImageBitmap==\"function\"?a.d(Ie):a.f(Ie)),cacheControl:ze.cacheControl,expires:ze.expires})}catch(ze){delete ut.abortController,$t(ze)}finally{B--,Fe()}var Ie})),Fe=()=>{let ut=(()=>{for(let Mt of Object.keys(ee))if(ee[Mt]())return!0;return!1})()?a.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:a.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let Mt=B;Mt<ut&&w.length>0;Mt++){let Jt=w.shift();Jt.abortController.signal.aborted?Mt--:le(Jt)}},Ze=(ut,Mt)=>new Promise(((Jt,$t)=>{let yr=new Image,Cr=ut.url,ve=ut.credentials;ve&&ve===\"include\"?yr.crossOrigin=\"use-credentials\":(ve&&ve===\"same-origin\"||!a.s(Cr))&&(yr.crossOrigin=\"anonymous\"),Mt.signal.addEventListener(\"abort\",(()=>{yr.src=\"\",$t(a.c())})),yr.fetchPriority=\"high\",yr.onload=()=>{yr.onerror=yr.onload=null,Jt({data:yr})},yr.onerror=()=>{yr.onerror=yr.onload=null,Mt.signal.aborted||$t(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},yr.src=Cr}))})(p||(p={})),p.resetRequestQueue();class k{constructor(w){this._transformRequestFn=w}transformRequest(w,B){return this._transformRequestFn&&this._transformRequestFn(w,B)||{url:w}}setTransformRequest(w){this._transformRequestFn=w}}function M(ue){var w=new a.A(3);return w[0]=ue[0],w[1]=ue[1],w[2]=ue[2],w}var T,L=function(ue,w,B){return ue[0]=w[0]-B[0],ue[1]=w[1]-B[1],ue[2]=w[2]-B[2],ue};T=new a.A(3),a.A!=Float32Array&&(T[0]=0,T[1]=0,T[2]=0);var x=function(ue){var w=ue[0],B=ue[1];return w*w+B*B};function C(ue){let w=[];if(typeof ue==\"string\")w.push({id:\"default\",url:ue});else if(ue&&ue.length>0){let B=[];for(let{id:Q,url:ee}of ue){let le=`${Q}${ee}`;B.indexOf(le)===-1&&(B.push(le),w.push({id:Q,url:ee}))}}return w}function S(ue,w,B){let Q=ue.split(\"?\");return Q[0]+=`${w}${B}`,Q.join(\"?\")}(function(){var ue=new a.A(2);a.A!=Float32Array&&(ue[0]=0,ue[1]=0)})();class g{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:le}=w,Fe=!(this.size&&this.size[0]===ee&&this.size[1]===le||Q),{context:Ze}=this,{gl:ut}=Ze;if(this.useMipmap=!!(B&&B.useMipmap),ut.bindTexture(ut.TEXTURE_2D,this.texture),Ze.pixelStoreUnpackFlipY.set(!1),Ze.pixelStoreUnpack.set(1),Ze.pixelStoreUnpackPremultiplyAlpha.set(this.format===ut.RGBA&&(!B||B.premultiply!==!1)),Fe)this.size=[ee,le],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ut.texImage2D(ut.TEXTURE_2D,0,this.format,this.format,ut.UNSIGNED_BYTE,w):ut.texImage2D(ut.TEXTURE_2D,0,this.format,ee,le,0,this.format,ut.UNSIGNED_BYTE,w.data);else{let{x:Mt,y:Jt}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ut.texSubImage2D(ut.TEXTURE_2D,0,Mt,Jt,ut.RGBA,ut.UNSIGNED_BYTE,w):ut.texSubImage2D(ut.TEXTURE_2D,0,Mt,Jt,ee,le,ut.RGBA,ut.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&ut.generateMipmap(ut.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:le}=ee;le.bindTexture(le.TEXTURE_2D,this.texture),Q!==le.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=le.LINEAR),w!==this.filter&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,w),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,B),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(ue){let{userImage:w}=ue;return!!(w&&w.render&&w.render())&&(ue.data.replace(new Uint8Array(w.data.buffer)),!0)}class E extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,le=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||le<w[1]||w[2]<0||ee<w[2]||w[3]<0||le<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise(((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let le of w)this.images[le]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})}))}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},le=new a.I(ee,Q);this.patterns[w]={bin:ee,position:le}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new g(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let le in this.patterns)w.push(this.patterns[le].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let le in this.patterns){let{bin:Fe}=this.patterns[le],Ze=Fe.x+1,ut=Fe.y+1,Mt=this.getImage(le).data,Jt=Mt.width,$t=Mt.height;a.R.copy(Mt,ee,{x:0,y:0},{x:Ze,y:ut},{width:Jt,height:$t}),a.R.copy(Mt,ee,{x:0,y:$t-1},{x:Ze,y:ut-1},{width:Jt,height:1}),a.R.copy(Mt,ee,{x:0,y:0},{x:Ze,y:ut+$t},{width:Jt,height:1}),a.R.copy(Mt,ee,{x:Jt-1,y:0},{x:Ze-1,y:ut},{width:1,height:$t}),a.R.copy(Mt,ee,{x:0,y:0},{x:Ze+Jt,y:ut},{width:1,height:$t})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let z=1e20;function q(ue,w,B,Q,ee,le,Fe,Ze,ut){for(let Mt=w;Mt<w+Q;Mt++)V(ue,B*le+Mt,le,ee,Fe,Ze,ut);for(let Mt=B;Mt<B+ee;Mt++)V(ue,Mt*le+w,1,Q,Fe,Ze,ut)}function V(ue,w,B,Q,ee,le,Fe){le[0]=0,Fe[0]=-z,Fe[1]=z,ee[0]=ue[w];for(let Ze=1,ut=0,Mt=0;Ze<Q;Ze++){ee[Ze]=ue[w+Ze*B];let Jt=Ze*Ze;do{let $t=le[ut];Mt=(ee[Ze]-ee[$t]+Jt-$t*$t)/(Ze-$t)/2}while(Mt<=Fe[ut]&&--ut>-1);ut++,le[ut]=Ze,Fe[ut]=Mt,Fe[ut+1]=z}for(let Ze=0,ut=0;Ze<Q;Ze++){for(;Fe[ut+1]<Ze;)ut++;let Mt=le[ut],Jt=Ze-Mt;ue[w+Ze*B]=ee[Mt]+Jt*Jt}}class G{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,(function*(){let B=[];for(let le in w)for(let Fe of w[le])B.push(this._getAndCacheGlyphsPromise(le,Fe));let Q=yield Promise.all(B),ee={};for(let{stack:le,id:Fe,glyph:Ze}of Q)ee[le]||(ee[le]={}),ee[le][Fe]=Ze&&{id:Ze.id,bitmap:Ze.bitmap.clone(),metrics:Ze.metrics};return ee}))}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,(function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let le=Math.floor(B/256);if(256*le>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[le])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[le]){let Ze=G.loadGlyphRange(w,le,this.url,this.requestManager);Q.requests[le]=Ze}let Fe=yield Q.requests[le];for(let Ze in Fe)this._doesCharSupportLocalGlyph(+Ze)||(Q.glyphs[+Ze]=Fe[+Ze]);return Q.ranges[le]=!0,{stack:w,id:B,glyph:Fe[B]||null}}))}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let le=w.tinySDF;if(!le){let Ze=\"400\";/bold/i.test(B)?Ze=\"900\":/medium/i.test(B)?Ze=\"500\":/light/i.test(B)&&(Ze=\"200\"),le=w.tinySDF=new G.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:Ze})}let Fe=le.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:Fe.width||60,height:Fe.height||60},Fe.data),metrics:{width:Fe.glyphWidth/2||24,height:Fe.glyphHeight/2||24,left:Fe.glyphLeft/2+.5||0,top:Fe.glyphTop/2-27.5||-8,advance:Fe.glyphAdvance/2||24,isDoubleResolution:!0}}}}G.loadGlyphRange=function(ue,w,B,Q){return a._(this,void 0,void 0,(function*(){let ee=256*w,le=ee+255,Fe=Q.transformRequest(B.replace(\"{fontstack}\",ue).replace(\"{range}\",`${ee}-${le}`),\"Glyphs\"),Ze=yield a.l(Fe,new AbortController);if(!Ze||!Ze.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${le}`);let ut={};for(let Mt of a.n(Ze.data))ut[Mt.id]=Mt;return ut}))},G.TinySDF=class{constructor({fontSize:ue=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:le=\"normal\",fontStyle:Fe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let Ze=this.size=ue+4*w,ut=this._createCanvas(Ze),Mt=this.ctx=ut.getContext(\"2d\",{willReadFrequently:!0});Mt.font=`${Fe} ${le} ${ue}px ${ee}`,Mt.textBaseline=\"alphabetic\",Mt.textAlign=\"left\",Mt.fillStyle=\"black\",this.gridOuter=new Float64Array(Ze*Ze),this.gridInner=new Float64Array(Ze*Ze),this.f=new Float64Array(Ze),this.z=new Float64Array(Ze+1),this.v=new Uint16Array(Ze)}_createCanvas(ue){let w=document.createElement(\"canvas\");return w.width=w.height=ue,w}draw(ue){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:le}=this.ctx.measureText(ue),Fe=Math.ceil(B),Ze=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(le-ee))),ut=Math.min(this.size-this.buffer,Fe+Math.ceil(Q)),Mt=Ze+2*this.buffer,Jt=ut+2*this.buffer,$t=Math.max(Mt*Jt,0),yr=new Uint8ClampedArray($t),Cr={data:yr,width:Mt,height:Jt,glyphWidth:Ze,glyphHeight:ut,glyphTop:Fe,glyphLeft:0,glyphAdvance:w};if(Ze===0||ut===0)return Cr;let{ctx:ve,buffer:xe,gridInner:Ie,gridOuter:ze}=this;ve.clearRect(xe,xe,Ze,ut),ve.fillText(ue,xe,xe+Fe);let Qe=ve.getImageData(xe,xe,Ze,ut);ze.fill(z,0,$t),Ie.fill(0,0,$t);for(let Xe=0;Xe<ut;Xe++)for(let nt=0;nt<Ze;nt++){let qt=Qe.data[4*(Xe*Ze+nt)+3]/255;if(qt===0)continue;let Wt=(Xe+xe)*Mt+nt+xe;if(qt===1)ze[Wt]=0,Ie[Wt]=z;else{let nr=.5-qt;ze[Wt]=nr>0?nr*nr:0,Ie[Wt]=nr<0?nr*nr:0}}q(ze,0,0,Mt,Jt,Mt,this.f,this.v,this.z),q(Ie,xe,xe,Ze,ut,Mt,this.f,this.v,this.z);for(let Xe=0;Xe<$t;Xe++){let nt=Math.sqrt(ze[Xe])-Math.sqrt(Ie[Xe]);yr[Xe]=Math.round(255-255*(nt/this.radius+this.cutoff))}return Cr}};class Z{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let j;class N extends a.E{constructor(w){super(),j=j||new a.q({anchor:new a.D(a.v.light.anchor),position:new Z,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(j),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let H=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class re extends a.E{constructor(w){super(),this._transitionable=new a.T(H),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class ae{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],le=w.length%2==1?-w[w.length-1]*Q:0,Fe=w[0]*Q,Ze=!0;ee.push({left:le,right:Fe,isDash:Ze,zeroLength:w[0]===0});let ut=w[0];for(let Mt=1;Mt<w.length;Mt++){Ze=!Ze;let Jt=w[Mt];le=ut*Q,ut+=Jt,Fe=ut*Q,ee.push({left:le,right:Fe,isDash:Ze,zeroLength:Jt===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let le=-Q;le<=Q;le++){let Fe=this.width*(this.nextRow+Q+le),Ze=0,ut=w[Ze];for(let Mt=0;Mt<this.width;Mt++){Mt/ut.right>1&&(ut=w[++Ze]);let Jt=Math.abs(Mt-ut.left),$t=Math.abs(Mt-ut.right),yr=Math.min(Jt,$t),Cr,ve=le/Q*(ee+1);if(ut.isDash){let xe=ee-Math.abs(ve);Cr=Math.sqrt(yr*yr+xe*xe)}else Cr=ee-Math.sqrt(yr*yr+ve*ve);this.data[Fe+Mt]=Math.max(0,Math.min(255,Cr+128))}}}addRegularDash(w){for(let Ze=w.length-1;Ze>=0;--Ze){let ut=w[Ze],Mt=w[Ze+1];ut.zeroLength?w.splice(Ze,1):Mt&&Mt.isDash===ut.isDash&&(Mt.left=ut.left,w.splice(Ze,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,le=0,Fe=w[le];for(let Ze=0;Ze<this.width;Ze++){Ze/Fe.right>1&&(Fe=w[++le]);let ut=Math.abs(Ze-Fe.left),Mt=Math.abs(Ze-Fe.right),Jt=Math.min(ut,Mt);this.data[ee+Ze]=Math.max(0,Math.min(255,(Fe.isDash?Jt:-Jt)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let le=0;for(let Ze=0;Ze<w.length;Ze++)le+=w[Ze];if(le!==0){let Ze=this.width/le,ut=this.getDashRanges(w,this.width,Ze);B?this.addRoundDash(ut,Ze,Q):this.addRegularDash(ut)}let Fe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:le};return this.nextRow+=ee,this.dirty=!0,Fe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Ee{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Ee.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach((B=>{B.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let Ce=Math.floor(u.hardwareConcurrency/2),ge,ie;function Se(){return ge||(ge=new Ee),ge}Ee.workerCount=a.C(globalThis)?Math.max(Math.min(Ce,3),1):1;class ke{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let le=new a.F(Q[ee],B);le.name=`Worker ${ee}`,this.actors.push(le)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach((B=>{B.remove()})),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function be(){return ie||(ie=new ke(Se(),a.G),ie.registerMessageHandler(\"GR\",((ue,w,B)=>a.m(w,B)))),ie}function Be(ue,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*ue.width,.5*ue.height,1]),a.L(B,B,ue.calculatePosMatrix(w.toUnwrapped()))}function Le(ue,w,B,Q,ee,le){let Fe=(function($t,yr,Cr){if($t)for(let ve of $t){let xe=yr[ve];if(xe&&xe.source===Cr&&xe.type===\"fill-extrusion\")return!0}else for(let ve in yr){let xe=yr[ve];if(xe.source===Cr&&xe.type===\"fill-extrusion\")return!0}return!1})(ee&&ee.layers,w,ue.id),Ze=le.maxPitchScaleFactor(),ut=ue.tilesIn(Q,Ze,Fe);ut.sort(me);let Mt=[];for(let $t of ut)Mt.push({wrappedTileID:$t.tileID.wrapped().key,queryResults:$t.tile.queryRenderedFeatures(w,B,ue._state,$t.queryGeometry,$t.cameraQueryGeometry,$t.scale,ee,le,Ze,Be(ue.transform,$t.tileID))});let Jt=(function($t){let yr={},Cr={};for(let ve of $t){let xe=ve.queryResults,Ie=ve.wrappedTileID,ze=Cr[Ie]=Cr[Ie]||{};for(let Qe in xe){let Xe=xe[Qe],nt=ze[Qe]=ze[Qe]||{},qt=yr[Qe]=yr[Qe]||[];for(let Wt of Xe)nt[Wt.featureIndex]||(nt[Wt.featureIndex]=!0,qt.push(Wt))}}return yr})(Mt);for(let $t in Jt)Jt[$t].forEach((yr=>{let Cr=yr.feature,ve=ue.getFeatureState(Cr.layer[\"source-layer\"],Cr.id);Cr.source=Cr.layer.source,Cr.layer[\"source-layer\"]&&(Cr.sourceLayer=Cr.layer[\"source-layer\"]),Cr.state=ve}));return Jt}function me(ue,w){let B=ue.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Pe(ue,w,B){return a._(this,void 0,void 0,(function*(){let Q=ue;if(ue.url?Q=(yield a.h(w.transformRequest(ue.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,ue),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map((le=>le.id))),ee}))}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,le;if(w instanceof a.N)ee=w,le=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,le=w._ne,!ee||!le)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(le.lng,Q.lng),Q.lat=Math.max(le.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(le.lng,le.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class He{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),le=Math.ceil(a.O(this.bounds.getEast())*B),Fe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<le&&w.y>=ee&&w.y<Fe}}class lt extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Pe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new He(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}}))}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty((()=>{this._options.tiles=w})),this}setUrl(w){return this.setSourceProperty((()=>{this.url=w,this._options.url=w})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise(((le,Fe)=>{w.reloadPromise={resolve:le,reject:Fe}}))}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let le=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,le)}catch(le){if(delete w.abortController,w.aborted)return;if(le&&le.status!==404)throw le;this._afterTileLoadWorkerResponse(w,null)}}))}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class mt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Pe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new He(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}}))}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty((()=>{this._options.tiles=w})),this}setUrl(w){return this.setSourceProperty((()=>{this.url=w,this._options.url=w})),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield p.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,le=ee.gl,Fe=Q.data;w.texture=this.map.painter.getTileTexture(Fe.width),w.texture?w.texture.update(Fe,{useMipmap:!0}):(w.texture=new g(ee,Fe,le.RGBA,{useMipmap:!0}),w.texture.bind(le.LINEAR,le.CLAMP_TO_EDGE,le.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}}))}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)}))}hasTransition(){return!1}}class Ht extends mt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield p.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let le=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let Fe=a.b(le)&&a.U()?le:yield this.readImageNow(le),Ze={type:this.type,uid:w.uid,source:this.id,rawImageData:Fe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let ut=yield w.actor.sendAsync({type:\"LDT\",data:Ze});w.dem=ut,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}}))}readImageNow(w){return a._(this,void 0,void 0,(function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)}))}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,le=B.x===0?w.wrap-1:w.wrap,Fe=(B.x+1+Q)%Q,Ze=B.x+1===Q?w.wrap+1:w.wrap,ut={};return ut[new a.S(w.overscaledZ,le,B.z,ee,B.y).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y).key]={backfilled:!1},B.y>0&&(ut[new a.S(w.overscaledZ,le,B.z,ee,B.y-1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(ut[new a.S(w.overscaledZ,le,B.z,ee,B.y+1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y+1).key]={backfilled:!1}),ut}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))}))}}class at extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let le=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*le,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*le,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*le,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,(function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})}))}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,(function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let le={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(le,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}}))}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")}))}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var ct=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class ar extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}}))}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=(function(ee){let le=1/0,Fe=1/0,Ze=-1/0,ut=-1/0;for(let yr of ee)le=Math.min(le,yr.x),Fe=Math.min(Fe,yr.y),Ze=Math.max(Ze,yr.x),ut=Math.max(ut,yr.y);let Mt=Math.max(Ze-le,ut-Fe),Jt=Math.max(0,Math.floor(-Math.log(Mt)/Math.LN2)),$t=Math.pow(2,Jt);return new a.a1(Jt,Math.floor((le+Ze)/2*$t),Math.floor((Fe+ut)/2*$t))})(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map((ee=>this.tileID.getTilePoint(ee)._round()));return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new g(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class Vt extends ar{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new g(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class rr extends ar{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some((le=>!Array.isArray(le)||le.length!==2||le.some((Fe=>typeof Fe!=\"number\"))))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new g(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let le in this.tiles){let Fe=this.tiles[le];Fe.state!==\"loaded\"&&(Fe.state=\"loaded\",Fe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let tt={},je=ue=>{switch(ue){case\"geojson\":return at;case\"image\":return ar;case\"raster\":return mt;case\"raster-dem\":return Ht;case\"vector\":return lt;case\"video\":return Vt;case\"canvas\":return rr}return tt[ue]},Ue=\"RTLPluginLoaded\";class Ae extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=be()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch((B=>{throw this.status=\"error\",B}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,(function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()}))}_requestImport(){return a._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(Ue))}))}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let rt=null;function St(){return rt||(rt=new Ae),rt}class Tt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=(function(ee,le){let Fe={};if(!le)return Fe;for(let Ze of ee){let ut=Ze.layerIds.map((Mt=>le.getLayer(Mt))).filter(Boolean);if(ut.length!==0){Ze.layers=ut,Ze.stateDependentLayerIds&&(Ze.stateDependentLayers=Ze.stateDependentLayerIds.map((Mt=>ut.filter((Jt=>Jt.id===Mt))[0])));for(let Mt of ut)Fe[Mt.id]=Ze}}return Fe})(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;le.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6&&le.hasRTLText){this.hasRTLText=!0,St().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let le=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(le))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new g(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new g(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:le,scale:Fe,tileSize:this.tileSize,pixelPosMatrix:Jt,transform:ut,params:Ze,queryPadding:this.queryPadding*Mt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),le=B&&B.sourceLayer?B.sourceLayer:\"\",Fe=ee._geojsonTileLayer||ee[le];if(!Fe)return;let Ze=a.a7(B&&B.filter),{z:ut,x:Mt,y:Jt}=this.tileID.canonical,$t={z:ut,x:Mt,y:Jt};for(let yr=0;yr<Fe.length;yr++){let Cr=Fe.feature(yr);if(Ze.needGeometry){let Ie=a.a8(Cr,!0);if(!Ze.filter(new a.z(this.tileID.overscaledZ),Ie,this.tileID.canonical))continue}else if(!Ze.filter(new a.z(this.tileID.overscaledZ),Cr))continue;let ve=Q.getId(Cr,le),xe=new a.a9(Cr,ut,Mt,Jt,ve);xe.tile=$t,w.push(xe)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let le=this.expirationTime-B;le?this.expirationTime=Q+Math.max(le,3e4):ee=!0}else ee=!0;ee?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)}setFeatureState(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let le=this.buckets[ee],Fe=le.layers[0].sourceLayer||\"_geojsonTileLayer\",Ze=Q[Fe],ut=w[Fe];if(!Ze||!ut||Object.keys(ut).length===0)continue;le.update(ut,Ze,this.imageAtlas&&this.imageAtlas.patternPositions||{});let Mt=B&&B.style&&B.style.getLayer(ee);Mt&&(this.queryPadding=Math.max(this.queryPadding,Mt.queryRadius(le)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let le of B)if(ee[le])return!0}}return!1}}class dt{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let le={value:B,timeout:void 0};if(Q!==void 0&&(le.timeout=setTimeout((()=>{this.remove(w,le)}),Q)),this.data[ee].push(le),this.order.push(ee),this.order.length>this.max){let Fe=this._getAndRemoveByKey(this.order[0]);Fe&&this.onRemove(Fe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),le=this.data[Q][ee];return this.data[Q].splice(ee,1),le.timeout&&clearTimeout(le.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(le.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class Et{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let le in this.state[w])le!==ee&&(this.deletedStates[w][le]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let le in this.state[w][ee])Q[le]||(this.deletedStates[w][ee][le]=null)}else for(let le in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][le]===null&&delete this.deletedStates[w][ee][le]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let le=this.deletedStates[w][B];if(le===null)return{};for(let Fe in le)delete ee[Fe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let le={};for(let Fe in this.stateChanges[ee])this.state[ee][Fe]||(this.state[ee][Fe]={}),a.e(this.state[ee][Fe],this.stateChanges[ee][Fe]),le[Fe]=this.state[ee][Fe];Q[ee]=le}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let le={};if(this.deletedStates[ee]===null)for(let Fe in this.state[ee])le[Fe]={},this.state[ee][Fe]={};else for(let Fe in this.deletedStates[ee]){if(this.deletedStates[ee][Fe]===null)this.state[ee][Fe]={};else for(let Ze of Object.keys(this.deletedStates[ee][Fe]))delete this.state[ee][Fe][Ze];le[Fe]=this.state[ee][Fe]}Q[ee]=Q[ee]||{},a.e(Q[ee],le)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class pt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",(ee=>this._dataHandler(ee))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((ee,le,Fe,Ze)=>{let ut=new(je(le.type))(ee,le,Fe,Ze);if(ut.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${ut.id}`);return ut})(w,B,Q,this),this._tiles={},this._cache=new dt(0,(ee=>this._unloadTile(ee))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Et,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}}))}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((w=>w.tileID)).sort(jt).map((w=>w.key))}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort(((Q,ee)=>{let le=Q.tileID,Fe=ee.tileID,Ze=new a.P(le.canonical.x,le.canonical.y)._rotate(this.transform.angle),ut=new a.P(Fe.canonical.x,Fe.canonical.y)._rotate(this.transform.angle);return le.overscaledZ-Fe.overscaledZ||ut.y-Ze.y||ut.x-Ze.x})).map((Q=>Q.tileID.key)):B.map((Q=>Q.tileID)).sort(jt).map((Q=>Q.key))}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,(function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))}))}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let le=B[ee];if(w.neighboringTiles&&w.neighboringTiles[le]){let Fe=this.getTileByID(le);Q(w,Fe),Q(Fe,w)}}function Q(ee,le){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let Fe=le.tileID.canonical.x-ee.tileID.canonical.x,Ze=le.tileID.canonical.y-ee.tileID.canonical.y,ut=Math.pow(2,ee.tileID.canonical.z),Mt=le.tileID.key;Fe===0&&Ze===0||Math.abs(Ze)>1||(Math.abs(Fe)>1&&(Math.abs(Fe+ut)===1?Fe+=ut:Math.abs(Fe-ut)===1&&(Fe-=ut)),le.dem&&ee.dem&&(ee.dem.backfillBorder(le.dem,Fe,Ze),ee.neighboringTiles&&ee.neighboringTiles[Mt]&&(ee.neighboringTiles[Mt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let le in this._tiles){let Fe=this._tiles[le];if(ee[le]||!Fe.hasData()||Fe.tileID.overscaledZ<=B||Fe.tileID.overscaledZ>Q)continue;let Ze=Fe.tileID;for(;Fe&&Fe.tileID.overscaledZ>B+1;){let Mt=Fe.tileID.scaledTo(Fe.tileID.overscaledZ-1);Fe=this._tiles[Mt.key],Fe&&Fe.hasData()&&(Ze=Mt)}let ut=Ze;for(;ut.overscaledZ>B;)if(ut=ut.scaledTo(ut.overscaledZ-1),w[ut.key]){ee[Ze.key]=Ze;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),le=this._getLoadedTile(ee);if(le)return le}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),le=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(le)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let le=this._tiles[ee];le.tileID=le.tileID.unwrapTo(le.tileID.wrap+B),Q[le.tileID.key]=le}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,le,Fe){let Ze={},ut={},Mt=Object.keys(w),Jt=u.now();for(let $t of Mt){let yr=w[$t],Cr=this._tiles[$t];if(!Cr||Cr.fadeEndTime!==0&&Cr.fadeEndTime<=Jt)continue;let ve=this.findLoadedParent(yr,B),xe=this.findLoadedSibling(yr),Ie=ve||xe||null;Ie&&(this._addTile(Ie.tileID),Ze[Ie.tileID.key]=Ie.tileID),ut[$t]=yr}this._retainLoadedChildren(ut,ee,Q,w);for(let $t in Ze)w[$t]||(this._coveredTiles[$t]=!0,w[$t]=Ze[$t]);if(Fe){let $t={},yr={};for(let Cr of le)this._tiles[Cr.key].hasData()?$t[Cr.key]=Cr:yr[Cr.key]=Cr;for(let Cr in yr){let ve=yr[Cr].children(this._source.maxzoom);this._tiles[ve[0].key]&&this._tiles[ve[1].key]&&this._tiles[ve[2].key]&&this._tiles[ve[3].key]&&($t[ve[0].key]=w[ve[0].key]=ve[0],$t[ve[1].key]=w[ve[1].key]=ve[1],$t[ve[2].key]=w[ve[2].key]=ve[2],$t[ve[3].key]=w[ve[3].key]=ve[3],delete yr[Cr])}for(let Cr in yr){let ve=yr[Cr],xe=this.findLoadedParent(ve,this._source.minzoom),Ie=this.findLoadedSibling(ve),ze=xe||Ie||null;if(ze){$t[ze.tileID.key]=w[ze.tileID.key]=ze.tileID;for(let Qe in $t)$t[Qe].isChildOf(ze.tileID)&&delete $t[Qe]}}for(let Cr in this._tiles)$t[Cr]||(this._coveredTiles[Cr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map((Jt=>new a.S(Jt.canonical.z,Jt.wrap,Jt.canonical.z,Jt.canonical.x,Jt.canonical.y))):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter((Jt=>this._source.hasTile(Jt))))):Q=[];let ee=w.coveringZoomLevel(this._source),le=Math.max(ee-pt.maxOverzooming,this._source.minzoom),Fe=Math.max(ee+pt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Jt={};for(let $t of Q)if($t.canonical.z>this._source.minzoom){let yr=$t.scaledTo($t.canonical.z-1);Jt[yr.key]=yr;let Cr=$t.scaledTo(Math.max(this._source.minzoom,Math.min($t.canonical.z,5)));Jt[Cr.key]=Cr}Q=Q.concat(Object.values(Jt))}let Ze=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,Ze&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let ut=this._updateRetainedTiles(Q,ee);or(this._source.type)&&this._updateCoveredAndRetainedTiles(ut,le,Fe,ee,Q,B);for(let Jt in ut)this._tiles[Jt].clearFadeHold();let Mt=a.ab(this._tiles,ut);for(let Jt of Mt){let $t=this._tiles[Jt];$t.hasSymbolBuckets&&!$t.holdingForFade()?$t.setHoldDuration(this.map._fadeDuration):$t.hasSymbolBuckets&&!$t.symbolFadeFinished()||this._removeTile(Jt)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},le={},Fe=Math.max(B-pt.maxOverzooming,this._source.minzoom),Ze=Math.max(B+pt.maxUnderzooming,this._source.minzoom),ut={};for(let Mt of w){let Jt=this._addTile(Mt);ee[Mt.key]=Mt,Jt.hasData()||B<this._source.maxzoom&&(ut[Mt.key]=Mt)}this._retainLoadedChildren(ut,B,Ze,ee);for(let Mt of w){let Jt=this._tiles[Mt.key];if(Jt.hasData())continue;if(B+1>this._source.maxzoom){let yr=Mt.children(this._source.maxzoom)[0],Cr=this.getTile(yr);if(Cr&&Cr.hasData()){ee[yr.key]=yr;continue}}else{let yr=Mt.children(this._source.maxzoom);if(ee[yr[0].key]&&ee[yr[1].key]&&ee[yr[2].key]&&ee[yr[3].key])continue}let $t=Jt.wasRequested();for(let yr=Mt.overscaledZ-1;yr>=Fe;--yr){let Cr=Mt.scaledTo(yr);if(le[Cr.key])break;if(le[Cr.key]=!0,Jt=this.getTile(Cr),!Jt&&$t&&(Jt=this._addTile(Cr)),Jt){let ve=Jt.hasData();if((ve||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||$t)&&(ee[Cr.key]=Cr),$t=Jt.wasRequested(),ve)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let le=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(le),Q)break;ee=le}for(let le of B)this._loadedParentTiles[le]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Tt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout((()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]}),Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],le=this.transform;if(!le)return ee;let Fe=Q?le.getCameraQueryGeometry(w):w,Ze=w.map((ve=>le.pointCoordinate(ve,this.terrain))),ut=Fe.map((ve=>le.pointCoordinate(ve,this.terrain))),Mt=this.getIds(),Jt=1/0,$t=1/0,yr=-1/0,Cr=-1/0;for(let ve of ut)Jt=Math.min(Jt,ve.x),$t=Math.min($t,ve.y),yr=Math.max(yr,ve.x),Cr=Math.max(Cr,ve.y);for(let ve=0;ve<Mt.length;ve++){let xe=this._tiles[Mt[ve]];if(xe.holdingForFade())continue;let Ie=xe.tileID,ze=Math.pow(2,le.zoom-xe.tileID.overscaledZ),Qe=B*xe.queryPadding*a.X/xe.tileSize/ze,Xe=[Ie.getTilePoint(new a.Z(Jt,$t)),Ie.getTilePoint(new a.Z(yr,Cr))];if(Xe[0].x-Qe<a.X&&Xe[0].y-Qe<a.X&&Xe[1].x+Qe>=0&&Xe[1].y+Qe>=0){let nt=Ze.map((Wt=>Ie.getTilePoint(Wt))),qt=ut.map((Wt=>Ie.getTilePoint(Wt)));ee.push({tile:xe,tileID:Ie,queryGeometry:nt,cameraQueryGeometry:qt,scale:ze})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map((Q=>this._tiles[Q].tileID));for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if(or(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter((Q=>!Q.hasDependency(w,B)))}}function jt(ue,w){let B=Math.abs(2*ue.wrap)-+(ue.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return ue.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-ue.canonical.y||w.canonical.x-ue.canonical.x}function or(ue){return ue===\"raster\"||ue===\"image\"||ue===\"video\"}pt.maxOverzooming=10,pt.maxUnderzooming=3;class mr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let le=B-1,Fe=this._distances[le],Ze=Q-Fe,ut=Ze>0?(ee-Fe)/Ze:0;return this.points[le].mult(1-ut).add(this.points[B].mult(ut))}}function Ar(ue,w){let B=!0;return ue===\"always\"||ue!==\"never\"&&w!==\"never\"||(B=!1),B}class ei{constructor(w,B,Q){let ee=this.boxCells=[],le=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let Fe=0;Fe<this.xCellCount*this.yCellCount;Fe++)ee.push([]),le.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,le){this._forEachCell(B,Q,ee,le,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(le)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,le,Fe){this.boxCells[le].push(Fe)}_insertCircleCell(w,B,Q,ee,le,Fe){this.circleCells[le].push(Fe)}_query(w,B,Q,ee,le,Fe,Ze){if(Q<0||w>this.width||ee<0||B>this.height)return[];let ut=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(le)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let Mt=0;Mt<this.boxKeys.length;Mt++)ut.push({key:this.boxKeys[Mt],x1:this.bboxes[4*Mt],y1:this.bboxes[4*Mt+1],x2:this.bboxes[4*Mt+2],y2:this.bboxes[4*Mt+3]});for(let Mt=0;Mt<this.circleKeys.length;Mt++){let Jt=this.circles[3*Mt],$t=this.circles[3*Mt+1],yr=this.circles[3*Mt+2];ut.push({key:this.circleKeys[Mt],x1:Jt-yr,y1:$t-yr,x2:Jt+yr,y2:$t+yr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,ut,{hitTest:le,overlapMode:Fe,seenUids:{box:{},circle:{}}},Ze);return ut}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,le,Fe){return this._query(w,B,Q,ee,!0,le,Fe).length>0}hitTestCircle(w,B,Q,ee,le){let Fe=w-Q,Ze=w+Q,ut=B-Q,Mt=B+Q;if(Ze<0||Fe>this.width||Mt<0||ut>this.height)return!1;let Jt=[];return this._forEachCell(Fe,ut,Ze,Mt,this._queryCellCircle,Jt,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},le),Jt.length>0}_queryCell(w,B,Q,ee,le,Fe,Ze,ut){let{seenUids:Mt,hitTest:Jt,overlapMode:$t}=Ze,yr=this.boxCells[le];if(yr!==null){let ve=this.bboxes;for(let xe of yr)if(!Mt.box[xe]){Mt.box[xe]=!0;let Ie=4*xe,ze=this.boxKeys[xe];if(w<=ve[Ie+2]&&B<=ve[Ie+3]&&Q>=ve[Ie+0]&&ee>=ve[Ie+1]&&(!ut||ut(ze))&&(!Jt||!Ar($t,ze.overlapMode))&&(Fe.push({key:ze,x1:ve[Ie],y1:ve[Ie+1],x2:ve[Ie+2],y2:ve[Ie+3]}),Jt))return!0}}let Cr=this.circleCells[le];if(Cr!==null){let ve=this.circles;for(let xe of Cr)if(!Mt.circle[xe]){Mt.circle[xe]=!0;let Ie=3*xe,ze=this.circleKeys[xe];if(this._circleAndRectCollide(ve[Ie],ve[Ie+1],ve[Ie+2],w,B,Q,ee)&&(!ut||ut(ze))&&(!Jt||!Ar($t,ze.overlapMode))){let Qe=ve[Ie],Xe=ve[Ie+1],nt=ve[Ie+2];if(Fe.push({key:ze,x1:Qe-nt,y1:Xe-nt,x2:Qe+nt,y2:Xe+nt}),Jt)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,le,Fe,Ze,ut){let{circle:Mt,seenUids:Jt,overlapMode:$t}=Ze,yr=this.boxCells[le];if(yr!==null){let ve=this.bboxes;for(let xe of yr)if(!Jt.box[xe]){Jt.box[xe]=!0;let Ie=4*xe,ze=this.boxKeys[xe];if(this._circleAndRectCollide(Mt.x,Mt.y,Mt.radius,ve[Ie+0],ve[Ie+1],ve[Ie+2],ve[Ie+3])&&(!ut||ut(ze))&&!Ar($t,ze.overlapMode))return Fe.push(!0),!0}}let Cr=this.circleCells[le];if(Cr!==null){let ve=this.circles;for(let xe of Cr)if(!Jt.circle[xe]){Jt.circle[xe]=!0;let Ie=3*xe,ze=this.circleKeys[xe];if(this._circlesCollide(ve[Ie],ve[Ie+1],ve[Ie+2],Mt.x,Mt.y,Mt.radius)&&(!ut||ut(ze))&&!Ar($t,ze.overlapMode))return Fe.push(!0),!0}}}_forEachCell(w,B,Q,ee,le,Fe,Ze,ut){let Mt=this._convertToXCellCoord(w),Jt=this._convertToYCellCoord(B),$t=this._convertToXCellCoord(Q),yr=this._convertToYCellCoord(ee);for(let Cr=Mt;Cr<=$t;Cr++)for(let ve=Jt;ve<=yr;ve++)if(le.call(this,w,B,Q,ee,this.xCellCount*ve+Cr,Fe,Ze,ut))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,le,Fe){let Ze=ee-w,ut=le-B,Mt=Q+Fe;return Mt*Mt>Ze*Ze+ut*ut}_circleAndRectCollide(w,B,Q,ee,le,Fe,Ze){let ut=(Fe-ee)/2,Mt=Math.abs(w-(ee+ut));if(Mt>ut+Q)return!1;let Jt=(Ze-le)/2,$t=Math.abs(B-(le+Jt));if($t>Jt+Q)return!1;if(Mt<=ut||$t<=Jt)return!0;let yr=Mt-ut,Cr=$t-Jt;return yr*yr+Cr*Cr<=Q*Q}}function qr(ue,w,B,Q,ee){let le=a.H();return w?(a.K(le,le,[1/ee,1/ee,1]),B||a.ad(le,le,Q.angle)):a.L(le,Q.labelPlaneMatrix,ue),le}function jr(ue,w,B,Q,ee){if(w){let le=a.ae(ue);return a.K(le,le,[ee,ee,1]),B||a.ad(le,le,-Q.angle),le}return Q.glCoordMatrix}function gt(ue,w,B,Q){let ee;Q?(ee=[ue,w,Q(ue,w),1],a.af(ee,ee,B)):(ee=[ue,w,0,1],ai(ee,ee,B));let le=ee[3];return{point:new a.P(ee[0]/le,ee[1]/le),signedDistanceFromCamera:le,isOccluded:!1}}function Ge(ue,w){return .5+ue/w*.5}function Je(ue,w){return ue.x>=-w[0]&&ue.x<=w[0]&&ue.y>=-w[1]&&ue.y<=w[1]}function We(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve){let xe=Q?ue.textSizeData:ue.iconSizeData,Ie=a.ag(xe,B.transform.zoom),ze=[256/B.width*2+1,256/B.height*2+1],Qe=Q?ue.text.dynamicLayoutVertexArray:ue.icon.dynamicLayoutVertexArray;Qe.clear();let Xe=ue.lineVertexArray,nt=Q?ue.text.placedSymbolArray:ue.icon.placedSymbolArray,qt=B.transform.width/B.transform.height,Wt=!1;for(let nr=0;nr<nt.length;nr++){let fr=nt.get(nr);if(fr.hidden||fr.writingMode===a.ah.vertical&&!Wt){Pi(fr.numGlyphs,Qe);continue}Wt=!1;let br=gt(fr.anchorX,fr.anchorY,w,ve);if(!Je(br.point,ze)){Pi(fr.numGlyphs,Qe);continue}let Fr=Ge(B.transform.cameraToCenterDistance,br.signedDistanceFromCamera),Hr=a.ai(xe,Ie,fr),ri=Fe?Hr/Fr:Hr*Fr,Ci={getElevation:ve,labelPlaneMatrix:ee,lineVertexArray:Xe,pitchWithMap:Fe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:Mt,tileAnchorPoint:new a.P(fr.anchorX,fr.anchorY),unwrappedTileID:Jt,width:$t,height:yr,translation:Cr},cn=At(Ci,fr,ri,!1,Ze,w,le,ue.glyphOffsetArray,Qe,qt,ut);Wt=cn.useVertical,(cn.notEnoughRoom||Wt||cn.needsFlipping&&At(Ci,fr,ri,!0,Ze,w,le,ue.glyphOffsetArray,Qe,qt,ut).notEnoughRoom)&&Pi(fr.numGlyphs,Qe)}Q?ue.text.dynamicLayoutVertexBuffer.updateData(Qe):ue.icon.dynamicLayoutVertexBuffer.updateData(Qe)}function et(ue,w,B,Q,ee,le,Fe,Ze){let ut=le.glyphStartIndex+le.numGlyphs,Mt=le.lineStartIndex,Jt=le.lineStartIndex+le.lineLength,$t=w.getoffsetX(le.glyphStartIndex),yr=w.getoffsetX(ut-1),Cr=Yr(ue*$t,B,Q,ee,le.segment,Mt,Jt,Ze,Fe);if(!Cr)return null;let ve=Yr(ue*yr,B,Q,ee,le.segment,Mt,Jt,Ze,Fe);return ve?Ze.projectionCache.anyProjectionOccluded?null:{first:Cr,last:ve}:null}function xt(ue,w,B,Q){return ue===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(ue===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function At(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){let $t=B/24,yr=w.lineOffsetX*$t,Cr=w.lineOffsetY*$t,ve;if(w.numGlyphs>1){let xe=w.glyphStartIndex+w.numGlyphs,Ie=w.lineStartIndex,ze=w.lineStartIndex+w.lineLength,Qe=et($t,Ze,yr,Cr,Q,w,Jt,ue);if(!Qe)return{notEnoughRoom:!0};let Xe=gt(Qe.first.point.x,Qe.first.point.y,Fe,ue.getElevation).point,nt=gt(Qe.last.point.x,Qe.last.point.y,Fe,ue.getElevation).point;if(ee&&!Q){let qt=xt(w.writingMode,Xe,nt,Mt);if(qt)return qt}ve=[Qe.first];for(let qt=w.glyphStartIndex+1;qt<xe-1;qt++)ve.push(Yr($t*Ze.getoffsetX(qt),yr,Cr,Q,w.segment,Ie,ze,ue,Jt));ve.push(Qe.last)}else{if(ee&&!Q){let Ie=gt(ue.tileAnchorPoint.x,ue.tileAnchorPoint.y,le,ue.getElevation).point,ze=w.lineStartIndex+w.segment+1,Qe=new a.P(ue.lineVertexArray.getx(ze),ue.lineVertexArray.gety(ze)),Xe=gt(Qe.x,Qe.y,le,ue.getElevation),nt=Xe.signedDistanceFromCamera>0?Xe.point:(function(Wt,nr,fr,br,Fr,Hr){return Kt(Wt,nr,fr,1,Fr,Hr)})(ue.tileAnchorPoint,Qe,Ie,0,le,ue),qt=xt(w.writingMode,Ie,nt,Mt);if(qt)return qt}let xe=Yr($t*Ze.getoffsetX(w.glyphStartIndex),yr,Cr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,ue,Jt);if(!xe||ue.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};ve=[xe]}for(let xe of ve)a.aj(ut,xe.point,xe.angle);return{}}function Kt(ue,w,B,Q,ee,le){let Fe=ue.add(ue.sub(w)._unit()),Ze=ee!==void 0?gt(Fe.x,Fe.y,ee,le.getElevation).point:Mr(Fe.x,Fe.y,le).point,ut=B.sub(Ze);return B.add(ut._mult(Q/ut.mag()))}function Qt(ue,w,B){let Q=w.projectionCache;if(Q.projections[ue])return Q.projections[ue];let ee=new a.P(w.lineVertexArray.getx(ue),w.lineVertexArray.gety(ue)),le=Mr(ee.x,ee.y,w);if(le.signedDistanceFromCamera>0)return Q.projections[ue]=le.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||le.isOccluded,le.point;let Fe=ue-B.direction;return(function(Ze,ut,Mt,Jt,$t){return Kt(Ze,ut,Mt,Jt,void 0,$t)})(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(Fe),w.lineVertexArray.gety(Fe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function Mr(ue,w,B){let Q=ue+B.translation[0],ee=w+B.translation[1],le;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(le=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),le.point.x=(.5*le.point.x+.5)*B.width,le.point.y=(.5*-le.point.y+.5)*B.height):(le=gt(Q,ee,B.labelPlaneMatrix,B.getElevation),le.isOccluded=!1),le}function Gr(ue,w,B){return ue._unit()._perp()._mult(w*B)}function Ir(ue,w,B,Q,ee,le,Fe,Ze,ut){if(Ze.projectionCache.offsets[ue])return Ze.projectionCache.offsets[ue];let Mt=B.add(w);if(ue+ut.direction<Q||ue+ut.direction>=ee)return Ze.projectionCache.offsets[ue]=Mt,Mt;let Jt=Qt(ue+ut.direction,Ze,ut),$t=Gr(Jt.sub(B),Fe,ut.direction),yr=B.add($t),Cr=Jt.add($t);return Ze.projectionCache.offsets[ue]=a.ak(le,Mt,yr,Cr)||Mt,Ze.projectionCache.offsets[ue]}function Yr(ue,w,B,Q,ee,le,Fe,Ze,ut){let Mt=Q?ue-w:ue+w,Jt=Mt>0?1:-1,$t=0;Q&&(Jt*=-1,$t=Math.PI),Jt<0&&($t+=Math.PI);let yr,Cr=Jt>0?le+ee:le+ee+1;Ze.projectionCache.cachedAnchorPoint?yr=Ze.projectionCache.cachedAnchorPoint:(yr=Mr(Ze.tileAnchorPoint.x,Ze.tileAnchorPoint.y,Ze).point,Ze.projectionCache.cachedAnchorPoint=yr);let ve,xe,Ie=yr,ze=yr,Qe=0,Xe=0,nt=Math.abs(Mt),qt=[],Wt;for(;Qe+Xe<=nt;){if(Cr+=Jt,Cr<le||Cr>=Fe)return null;Qe+=Xe,ze=Ie,xe=ve;let br={absOffsetX:nt,direction:Jt,distanceFromAnchor:Qe,previousVertex:ze};if(Ie=Qt(Cr,Ze,br),B===0)qt.push(ze),Wt=Ie.sub(ze);else{let Fr,Hr=Ie.sub(ze);Fr=Hr.mag()===0?Gr(Qt(Cr+Jt,Ze,br).sub(Ie),B,Jt):Gr(Hr,B,Jt),xe||(xe=ze.add(Fr)),ve=Ir(Cr,Fr,Ie,le,Fe,xe,B,Ze,br),qt.push(xe),Wt=ve.sub(xe)}Xe=Wt.mag()}let nr=Wt._mult((nt-Qe)/Xe)._add(xe||ze),fr=$t+Math.atan2(Ie.y-ze.y,Ie.x-ze.x);return qt.push(nr),{point:nr,angle:ut?fr:0,path:qt}}let _i=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Pi(ue,w){for(let B=0;B<ue;B++){let Q=w.length;w.resize(Q+4),w.float32.set(_i,3*Q)}}function ai(ue,w,B){let Q=w[0],ee=w[1];return ue[0]=B[0]*Q+B[4]*ee+B[12],ue[1]=B[1]*Q+B[5]*ee+B[13],ue[3]=B[3]*Q+B[7]*ee+B[15],ue}let mi=100;class un{constructor(w,B,Q=new ei(w.width+200,w.height+200,25),ee=new ei(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+mi,this.screenBottomBoundary=w.height+mi,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t){let yr=w.anchorPointX+ut[0],Cr=w.anchorPointY+ut[1],ve=this.projectAndGetPerspectiveRatio(ee,yr,Cr,le,Jt),xe=Q*ve.perspectiveRatio,Ie;if(Fe||Ze)Ie=this._projectCollisionBox(w,xe,ee,le,Fe,Ze,ut,ve,Jt,$t);else{let qt=ve.point.x+($t?$t.x*xe:0),Wt=ve.point.y+($t?$t.y*xe:0);Ie={allPointsOccluded:!1,box:[qt+w.x1*xe,Wt+w.y1*xe,qt+w.x2*xe,Wt+w.y2*xe]}}let[ze,Qe,Xe,nt]=Ie.box;return this.mapProjection.useSpecialProjectionForSymbols&&(Fe?Ie.allPointsOccluded:this.mapProjection.isOccluded(yr,Cr,le))||ve.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(ze,Qe,Xe,nt)||B!==\"always\"&&this.grid.hitTest(ze,Qe,Xe,nt,B,Mt)?{box:[ze,Qe,Xe,nt],placeable:!1,offscreen:!1}:{box:[ze,Qe,Xe,nt],placeable:!0,offscreen:this.isOffscreen(ze,Qe,Xe,nt)}}placeCollisionCircles(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie){let ze=[],Qe=new a.P(B.anchorX,B.anchorY),Xe=this.getPerspectiveRatio(Fe,Qe.x,Qe.y,Ze,Ie),nt=($t?le/Xe:le*Xe)/a.ap,qt={getElevation:Ie,labelPlaneMatrix:ut,lineVertexArray:Q,pitchWithMap:$t,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:Qe,unwrappedTileID:Ze,width:this.transform.width,height:this.transform.height,translation:xe},Wt=et(nt,ee,B.lineOffsetX*nt,B.lineOffsetY*nt,!1,B,!1,qt),nr=!1,fr=!1,br=!0;if(Wt){let Fr=.5*Cr*Xe+ve,Hr=new a.P(-100,-100),ri=new a.P(this.screenRightBoundary,this.screenBottomBoundary),Ci=new mr,cn=Wt.first,sn=Wt.last,Ln=[];for(let fa=cn.path.length-1;fa>=1;fa--)Ln.push(cn.path[fa]);for(let fa=1;fa<sn.path.length;fa++)Ln.push(sn.path[fa]);let Kn=2.5*Fr;if(Mt){let fa=this.projectPathToScreenSpace(Ln,qt,Mt);Ln=fa.some(($a=>$a.signedDistanceFromCamera<=0))?[]:fa.map(($a=>$a.point))}let Aa=[];if(Ln.length>0){let fa=Ln[0].clone(),$a=Ln[0].clone();for(let Co=1;Co<Ln.length;Co++)fa.x=Math.min(fa.x,Ln[Co].x),fa.y=Math.min(fa.y,Ln[Co].y),$a.x=Math.max($a.x,Ln[Co].x),$a.y=Math.max($a.y,Ln[Co].y);Aa=fa.x>=Hr.x&&$a.x<=ri.x&&fa.y>=Hr.y&&$a.y<=ri.y?[Ln]:$a.x<Hr.x||fa.x>ri.x||$a.y<Hr.y||fa.y>ri.y?[]:a.al([Ln],Hr.x,Hr.y,ri.x,ri.y)}for(let fa of Aa){Ci.reset(fa,.25*Fr);let $a=0;$a=Ci.length<=.5*Fr?1:Math.ceil(Ci.paddedLength/Kn)+1;for(let Co=0;Co<$a;Co++){let Qa=Co/Math.max($a-1,1),mo=Ci.lerp(Qa),Bo=mo.x+mi,Ps=mo.y+mi;ze.push(Bo,Ps,Fr,0);let Ts=Bo-Fr,wo=Ps-Fr,To=Bo+Fr,hl=Ps+Fr;if(br=br&&this.isOffscreen(Ts,wo,To,hl),fr=fr||this.isInsideGrid(Ts,wo,To,hl),w!==\"always\"&&this.grid.hitTestCircle(Bo,Ps,Fr,w,yr)&&(nr=!0,!Jt))return{circles:[],offscreen:!1,collisionDetected:nr}}}}return{circles:!Jt&&nr||!fr||Xe<this.perspectiveRatioCutoff?[]:ze,offscreen:br,collisionDetected:nr}}projectPathToScreenSpace(w,B,Q){return w.map((ee=>gt(ee.x,ee.y,Q,B.getElevation)))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,le=-1/0,Fe=-1/0;for(let Jt of w){let $t=new a.P(Jt.x+mi,Jt.y+mi);Q=Math.min(Q,$t.x),ee=Math.min(ee,$t.y),le=Math.max(le,$t.x),Fe=Math.max(Fe,$t.y),B.push($t)}let Ze=this.grid.query(Q,ee,le,Fe).concat(this.ignoredGrid.query(Q,ee,le,Fe)),ut={},Mt={};for(let Jt of Ze){let $t=Jt.key;if(ut[$t.bucketInstanceId]===void 0&&(ut[$t.bucketInstanceId]={}),ut[$t.bucketInstanceId][$t.featureIndex])continue;let yr=[new a.P(Jt.x1,Jt.y1),new a.P(Jt.x2,Jt.y1),new a.P(Jt.x2,Jt.y2),new a.P(Jt.x1,Jt.y2)];a.am(B,yr)&&(ut[$t.bucketInstanceId][$t.featureIndex]=!0,Mt[$t.bucketInstanceId]===void 0&&(Mt[$t.bucketInstanceId]=[]),Mt[$t.bucketInstanceId].push($t.featureIndex))}return Mt}insertCollisionBox(w,B,Q,ee,le,Fe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:le,collisionGroupID:Fe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,le,Fe){let Ze=Q?this.ignoredGrid:this.grid,ut={bucketInstanceId:ee,featureIndex:le,collisionGroupID:Fe,overlapMode:B};for(let Mt=0;Mt<w.length;Mt+=4)Ze.insertCircle(ut,w[Mt],w[Mt+1],w[Mt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,le){let Fe;le?(Fe=[B,Q,le(B,Q),1],a.af(Fe,Fe,w)):(Fe=[B,Q,0,1],ai(Fe,Fe,w));let Ze=Fe[3];return{point:new a.P((Fe[0]/Ze+1)/2*this.transform.width+mi,(-Fe[1]/Ze+1)/2*this.transform.height+mi),perspectiveRatio:.5+this.transform.cameraToCenterDistance/Ze*.5,isOccluded:!1,signedDistanceFromCamera:Ze}}getPerspectiveRatio(w,B,Q,ee,le){let Fe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,le):gt(B,Q,w,le);return .5+this.transform.cameraToCenterDistance/Fe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<mi||w>=this.screenRightBoundary||ee<mi||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){let $t=new a.P(1,0),yr=new a.P(0,1),Cr=new a.P(w.anchorPointX+Ze[0],w.anchorPointY+Ze[1]);if(Fe&&!le){let br=this.projectAndGetPerspectiveRatio(Q,Cr.x+1,Cr.y,ee,Mt).point.sub(ut.point).unit(),Fr=Math.atan(br.y/br.x)+(br.x<0?Math.PI:0),Hr=Math.sin(Fr),ri=Math.cos(Fr);$t=new a.P(ri,Hr),yr=new a.P(-Hr,ri)}else if(!Fe&&le){let br=-this.transform.angle,Fr=Math.sin(br),Hr=Math.cos(br);$t=new a.P(Hr,Fr),yr=new a.P(-Fr,Hr)}let ve=ut.point,xe=B;if(le){ve=Cr;let br=this.transform.zoom-Math.floor(this.transform.zoom);xe=Math.pow(2,-br),xe*=this.mapProjection.getPitchedTextCorrection(this.transform,Cr,ee),Jt||(xe*=a.ac(.5+ut.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Jt&&(ve=ve.add($t.mult(Jt.x*xe)).add(yr.mult(Jt.y*xe)));let Ie=w.x1*xe,ze=w.x2*xe,Qe=(Ie+ze)/2,Xe=w.y1*xe,nt=w.y2*xe,qt=(Xe+nt)/2,Wt=[{offsetX:Ie,offsetY:Xe},{offsetX:Qe,offsetY:Xe},{offsetX:ze,offsetY:Xe},{offsetX:ze,offsetY:qt},{offsetX:ze,offsetY:nt},{offsetX:Qe,offsetY:nt},{offsetX:Ie,offsetY:nt},{offsetX:Ie,offsetY:qt}],nr=[];for(let{offsetX:br,offsetY:Fr}of Wt)nr.push(new a.P(ve.x+$t.x*br+yr.x*Fr,ve.y+$t.y*br+yr.y*Fr));let fr=!1;if(le){let br=nr.map((Fr=>this.projectAndGetPerspectiveRatio(Q,Fr.x,Fr.y,ee,Mt)));fr=br.some((Fr=>!Fr.isOccluded)),nr=br.map((Fr=>Fr.point))}else fr=!0;return{box:a.ao(nr),allPointsOccluded:!fr}}}function Fn(ue,w,B){return w*(a.X/(ue.tileSize*Math.pow(2,B-ue.tileID.overscaledZ)))}class An{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class Hn{constructor(w,B,Q,ee,le){this.text=new An(w?w.text:null,B,Q,le),this.icon=new An(w?w.icon:null,B,ee,le)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Qn{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class Vi{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class Jn{constructor(w,B,Q,ee,le){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=le}}class Yn{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function Gt(ue,w,B,Q,ee){let{horizontalAlign:le,verticalAlign:Fe}=a.au(ue);return new a.P(-(le-.5)*w+Q[0]*ee,-(Fe-.5)*B+Q[1]*ee)}class wt{constructor(w,B,Q,ee,le,Fe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new un(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new Yn(le),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=Fe,Fe&&(Fe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let le=Q.getBucket(B),Fe=Q.latestFeatureIndex;if(!le||!Fe||B.id!==le.layerIds[0])return;let Ze=Q.collisionBoxArray,ut=le.layers[0].layout,Mt=le.layers[0].paint,Jt=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),$t=Q.tileSize/a.X,yr=Q.tileID.toUnwrapped(),Cr=this.transform.calculatePosMatrix(yr),ve=ut.get(\"text-pitch-alignment\")===\"map\",xe=ut.get(\"text-rotation-alignment\")===\"map\",Ie=Fn(Q,1,this.transform.zoom),ze=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Mt.get(\"text-translate\"),Mt.get(\"text-translate-anchor\")),Qe=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Mt.get(\"icon-translate\"),Mt.get(\"icon-translate-anchor\")),Xe=qr(Cr,ve,xe,this.transform,Ie),nt=null;if(ve){let Wt=jr(Cr,ve,xe,this.transform,Ie);nt=a.L([],this.transform.labelPlaneMatrix,Wt)}this.retainedQueryData[le.bucketInstanceId]=new Jn(le.bucketInstanceId,Fe,le.sourceLayerIndex,le.index,Q.tileID);let qt={bucket:le,layout:ut,translationText:ze,translationIcon:Qe,posMatrix:Cr,unwrappedTileID:yr,textLabelPlaneMatrix:Xe,labelToScreenMatrix:nt,scale:Jt,textPixelRatio:$t,holdingForFade:Q.holdingForFade(),collisionBoxArray:Ze,partiallyEvaluatedTextSize:a.ag(le.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(le.sourceID)};if(ee)for(let Wt of le.sortKeyRanges){let{sortKey:nr,symbolInstanceStart:fr,symbolInstanceEnd:br}=Wt;w.push({sortKey:nr,symbolInstanceStart:fr,symbolInstanceEnd:br,parameters:qt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:le.symbolInstances.length,parameters:qt})}attemptAnchorPlacement(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie,ze,Qe,Xe){let nt=a.aq[w.textAnchor],qt=[w.textOffset0,w.textOffset1],Wt=Gt(nt,Q,ee,qt,le),nr=this.collisionIndex.placeCollisionBox(B,yr,ut,Mt,Jt,Ze,Fe,Ie,$t.predicate,Xe,Wt);if((!Qe||this.collisionIndex.placeCollisionBox(Qe,yr,ut,Mt,Jt,Ze,Fe,ze,$t.predicate,Xe,Wt).placeable)&&nr.placeable){let fr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Cr.crossTileID]&&this.prevPlacement.placements[Cr.crossTileID]&&this.prevPlacement.placements[Cr.crossTileID].text&&(fr=this.prevPlacement.variableOffsets[Cr.crossTileID].anchor),Cr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Cr.crossTileID]={textOffset:qt,width:Q,height:ee,anchor:nt,textBoxScale:le,prevAnchor:fr},this.markUsedJustification(ve,nt,Cr,xe),ve.allowVerticalPlacement&&(this.markUsedOrientation(ve,xe,Cr),this.placedOrientations[Cr.crossTileID]=xe),{shift:Wt,placedGlyphBoxes:nr}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:le,translationText:Fe,translationIcon:Ze,posMatrix:ut,unwrappedTileID:Mt,textLabelPlaneMatrix:Jt,labelToScreenMatrix:$t,textPixelRatio:yr,holdingForFade:Cr,collisionBoxArray:ve,partiallyEvaluatedTextSize:xe,collisionGroup:Ie}=w.parameters,ze=le.get(\"text-optional\"),Qe=le.get(\"icon-optional\"),Xe=a.ar(le,\"text-overlap\",\"text-allow-overlap\"),nt=Xe===\"always\",qt=a.ar(le,\"icon-overlap\",\"icon-allow-overlap\"),Wt=qt===\"always\",nr=le.get(\"text-rotation-alignment\")===\"map\",fr=le.get(\"text-pitch-alignment\")===\"map\",br=le.get(\"icon-text-fit\")!==\"none\",Fr=le.get(\"symbol-z-order\")===\"viewport-y\",Hr=nt&&(Wt||!ee.hasIconData()||Qe),ri=Wt&&(nt||!ee.hasTextData()||ze);!ee.collisionArrays&&ve&&ee.deserializeCollisionBoxes(ve);let Ci=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),cn=(sn,Ln,Kn)=>{var Aa,fa;if(B[sn.crossTileID])return;if(Cr)return void(this.placements[sn.crossTileID]=new Qn(!1,!1,!1));let $a=!1,Co=!1,Qa=!0,mo=null,Bo={box:null,placeable:!1,offscreen:null},Ps={box:null,placeable:!1,offscreen:null},Ts=null,wo=null,To=null,hl=0,Nl=0,Lu=0;Ln.textFeatureIndex?hl=Ln.textFeatureIndex:sn.useRuntimeCollisionCircles&&(hl=sn.featureIndex),Ln.verticalTextFeatureIndex&&(Nl=Ln.verticalTextFeatureIndex);let au=Ln.textBox;if(au){let Al=Te=>{let qe=a.ah.horizontal;if(ee.allowVerticalPlacement&&!Te&&this.prevPlacement){let Ve=this.prevPlacement.placedOrientations[sn.crossTileID];Ve&&(this.placedOrientations[sn.crossTileID]=Ve,qe=Ve,this.markUsedOrientation(ee,qe,sn))}return qe},Sl=(Te,qe)=>{if(ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&Ln.verticalTextBox){for(let Ve of ee.writingModes)if(Ve===a.ah.vertical?(Bo=qe(),Ps=Bo):Bo=Te(),Bo&&Bo.placeable)break}else Bo=Te()},X=sn.textAnchorOffsetStartIndex,se=sn.textAnchorOffsetEndIndex;if(se===X){let Te=(qe,Ve)=>{let Ye=this.collisionIndex.placeCollisionBox(qe,Xe,yr,ut,Mt,fr,nr,Fe,Ie.predicate,Ci);return Ye&&Ye.placeable&&(this.markUsedOrientation(ee,Ve,sn),this.placedOrientations[sn.crossTileID]=Ve),Ye};Sl((()=>Te(au,a.ah.horizontal)),(()=>{let qe=Ln.verticalTextBox;return ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&qe?Te(qe,a.ah.vertical):{box:null,offscreen:null}})),Al(Bo&&Bo.placeable)}else{let Te=a.aq[(fa=(Aa=this.prevPlacement)===null||Aa===void 0?void 0:Aa.variableOffsets[sn.crossTileID])===null||fa===void 0?void 0:fa.anchor],qe=(Ye,Pt,ot)=>{let Xt=Ye.x2-Ye.x1,dr=Ye.y2-Ye.y1,pr=sn.textBoxScale,Ur=br&&qt===\"never\"?Pt:null,zr=null,gi=Xe===\"never\"?1:2,xi=\"never\";Te&&gi++;for(let Wr=0;Wr<gi;Wr++){for(let ii=X;ii<se;ii++){let di=ee.textAnchorOffsets.get(ii);if(Te&&di.textAnchor!==Te)continue;let Li=this.attemptAnchorPlacement(di,Ye,Xt,dr,pr,nr,fr,yr,ut,Mt,Ie,xi,sn,ee,ot,Fe,Ze,Ur,Ci);if(Li&&(zr=Li.placedGlyphBoxes,zr&&zr.placeable))return $a=!0,mo=Li.shift,zr}Te?Te=null:xi=Xe}return Q&&!zr&&(zr={box:this.collisionIndex.placeCollisionBox(au,\"always\",yr,ut,Mt,fr,nr,Fe,Ie.predicate,Ci,new a.P(0,0)).box,offscreen:!1,placeable:!1}),zr};Sl((()=>qe(au,Ln.iconBox,a.ah.horizontal)),(()=>{let Ye=Ln.verticalTextBox;return ee.allowVerticalPlacement&&(!Bo||!Bo.placeable)&&sn.numVerticalGlyphVertices>0&&Ye?qe(Ye,Ln.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}})),Bo&&($a=Bo.placeable,Qa=Bo.offscreen);let Ve=Al(Bo&&Bo.placeable);if(!$a&&this.prevPlacement){let Ye=this.prevPlacement.variableOffsets[sn.crossTileID];Ye&&(this.variableOffsets[sn.crossTileID]=Ye,this.markUsedJustification(ee,Ye.anchor,sn,Ve))}}}if(Ts=Bo,$a=Ts&&Ts.placeable,Qa=Ts&&Ts.offscreen,sn.useRuntimeCollisionCircles){let Al=ee.text.placedSymbolArray.get(sn.centerJustifiedTextSymbolIndex),Sl=a.ai(ee.textSizeData,xe,Al),X=le.get(\"text-padding\");wo=this.collisionIndex.placeCollisionCircles(Xe,Al,ee.lineVertexArray,ee.glyphOffsetArray,Sl,ut,Mt,Jt,$t,Q,fr,Ie.predicate,sn.collisionCircleDiameter,X,Fe,Ci),wo.circles.length&&wo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),$a=nt||wo.circles.length>0&&!wo.collisionDetected,Qa=Qa&&wo.offscreen}if(Ln.iconFeatureIndex&&(Lu=Ln.iconFeatureIndex),Ln.iconBox){let Al=Sl=>this.collisionIndex.placeCollisionBox(Sl,qt,yr,ut,Mt,fr,nr,Ze,Ie.predicate,Ci,br&&mo?mo:void 0);Ps&&Ps.placeable&&Ln.verticalIconBox?(To=Al(Ln.verticalIconBox),Co=To.placeable):(To=Al(Ln.iconBox),Co=To.placeable),Qa=Qa&&To.offscreen}let Js=ze||sn.numHorizontalGlyphVertices===0&&sn.numVerticalGlyphVertices===0,eu=Qe||sn.numIconVertices===0;Js||eu?eu?Js||(Co=Co&&$a):$a=Co&&$a:Co=$a=Co&&$a;let dc=Co&&To.placeable;if($a&&Ts.placeable&&this.collisionIndex.insertCollisionBox(Ts.box,Xe,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ps&&Ps.placeable&&Nl?Nl:hl,Ie.ID),dc&&this.collisionIndex.insertCollisionBox(To.box,qt,le.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Lu,Ie.ID),wo&&$a&&this.collisionIndex.insertCollisionCircles(wo.circles,Xe,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,hl,Ie.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Kn,Ln,Ts,To,wo),sn.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[sn.crossTileID]=new Qn($a||Hr,Co||ri,Qa||ee.justReloaded),B[sn.crossTileID]=!0};if(Fr){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let sn=ee.getSortedSymbolIndexes(this.transform.angle);for(let Ln=sn.length-1;Ln>=0;--Ln){let Kn=sn[Ln];cn(ee.symbolInstances.get(Kn),ee.collisionArrays[Kn],Kn)}}else for(let sn=w.symbolInstanceStart;sn<w.symbolInstanceEnd;sn++)cn(ee.symbolInstances.get(sn),ee.collisionArrays[sn],sn);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let sn=this.collisionCircleArrays[ee.bucketInstanceId];a.as(sn.invProjMatrix,ut),sn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,le,Fe){if(Q.textBox||Q.iconBox){let Ze,ut;this.collisionBoxArrays.has(w)?Ze=this.collisionBoxArrays.get(w):(Ze=new Map,this.collisionBoxArrays.set(w,Ze)),Ze.has(B)?ut=Ze.get(B):(ut={text:null,icon:null},Ze.set(B,ut)),Q.textBox&&(ut.text=ee.box),Q.iconBox&&(ut.icon=le.box)}if(Fe){let Ze=this.collisionCircleArrays[w];Ze===void 0&&(Ze=this.collisionCircleArrays[w]=new Vi);for(let ut=0;ut<Fe.circles.length;ut+=4)Ze.circles.push(Fe.circles[ut+0]),Ze.circles.push(Fe.circles[ut+1]),Ze.circles.push(Fe.circles[ut+2]),Ze.circles.push(Fe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let le;le=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let Fe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let Ze of Fe)Ze>=0&&(w.text.placedSymbolArray.get(Ze).crossTileID=le>=0&&Ze!==le?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,le=B===a.ah.vertical?B:0,Fe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let Ze of Fe)w.text.placedSymbolArray.get(Ze).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=le)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,le=B?B.opacities:{},Fe=B?B.variableOffsets:{},Ze=B?B.placedOrientations:{};for(let ut in this.placements){let Mt=this.placements[ut],Jt=le[ut];Jt?(this.opacities[ut]=new Hn(Jt,ee,Mt.text,Mt.icon),Q=Q||Mt.text!==Jt.text.placed||Mt.icon!==Jt.icon.placed):(this.opacities[ut]=new Hn(null,ee,Mt.text,Mt.icon,Mt.skipFade),Q=Q||Mt.text||Mt.icon)}for(let ut in le){let Mt=le[ut];if(!this.opacities[ut]){let Jt=new Hn(Mt,ee,!1,!1);Jt.isHidden()||(this.opacities[ut]=Jt,Q=Q||Mt.text.placed||Mt.icon.placed)}}for(let ut in Fe)this.variableOffsets[ut]||!this.opacities[ut]||this.opacities[ut].isHidden()||(this.variableOffsets[ut]=Fe[ut]);for(let ut in Ze)this.placedOrientations[ut]||!this.opacities[ut]||this.opacities[ut].isHidden()||(this.placedOrientations[ut]=Ze[ut]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let le=ee.getBucket(w);le&&ee.latestFeatureIndex&&w.id===le.layerIds[0]&&this.updateBucketOpacities(le,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let le=w.layers[0],Fe=le.layout,Ze=new Hn(null,0,!1,!1,!0),ut=Fe.get(\"text-allow-overlap\"),Mt=Fe.get(\"icon-allow-overlap\"),Jt=le._unevaluatedLayout.hasValue(\"text-variable-anchor\")||le._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),$t=Fe.get(\"text-rotation-alignment\")===\"map\",yr=Fe.get(\"text-pitch-alignment\")===\"map\",Cr=Fe.get(\"icon-text-fit\")!==\"none\",ve=new Hn(null,0,ut&&(Mt||!w.hasIconData()||Fe.get(\"icon-optional\")),Mt&&(ut||!w.hasTextData()||Fe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let xe=(ze,Qe,Xe)=>{for(let nt=0;nt<Qe/4;nt++)ze.opacityVertexArray.emplaceBack(Xe);ze.hasVisibleVertices=ze.hasVisibleVertices||Xe!==fn},Ie=this.collisionBoxArrays.get(w.bucketInstanceId);for(let ze=0;ze<w.symbolInstances.length;ze++){let Qe=w.symbolInstances.get(ze),{numHorizontalGlyphVertices:Xe,numVerticalGlyphVertices:nt,crossTileID:qt}=Qe,Wt=this.opacities[qt];Q[qt]?Wt=Ze:Wt||(Wt=ve,this.opacities[qt]=Wt),Q[qt]=!0;let nr=Qe.numIconVertices>0,fr=this.placedOrientations[Qe.crossTileID],br=fr===a.ah.vertical,Fr=fr===a.ah.horizontal||fr===a.ah.horizontalOnly;if(Xe>0||nt>0){let ri=en(Wt.text);xe(w.text,Xe,br?fn:ri),xe(w.text,nt,Fr?fn:ri);let Ci=Wt.text.isHidden();[Qe.rightJustifiedTextSymbolIndex,Qe.centerJustifiedTextSymbolIndex,Qe.leftJustifiedTextSymbolIndex].forEach((Ln=>{Ln>=0&&(w.text.placedSymbolArray.get(Ln).hidden=Ci||br?1:0)})),Qe.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(Qe.verticalPlacedTextSymbolIndex).hidden=Ci||Fr?1:0);let cn=this.variableOffsets[Qe.crossTileID];cn&&this.markUsedJustification(w,cn.anchor,Qe,fr);let sn=this.placedOrientations[Qe.crossTileID];sn&&(this.markUsedJustification(w,\"left\",Qe,sn),this.markUsedOrientation(w,sn,Qe))}if(nr){let ri=en(Wt.icon),Ci=!(Cr&&Qe.verticalPlacedIconSymbolIndex&&br);Qe.placedIconSymbolIndex>=0&&(xe(w.icon,Qe.numIconVertices,Ci?ri:fn),w.icon.placedSymbolArray.get(Qe.placedIconSymbolIndex).hidden=Wt.icon.isHidden()),Qe.verticalPlacedIconSymbolIndex>=0&&(xe(w.icon,Qe.numVerticalIconVertices,Ci?fn:ri),w.icon.placedSymbolArray.get(Qe.verticalPlacedIconSymbolIndex).hidden=Wt.icon.isHidden())}let Hr=Ie&&Ie.has(ze)?Ie.get(ze):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let ri=w.collisionArrays[ze];if(ri){let Ci=new a.P(0,0);if(ri.textBox||ri.verticalTextBox){let cn=!0;if(Jt){let sn=this.variableOffsets[qt];sn?(Ci=Gt(sn.anchor,sn.width,sn.height,sn.textOffset,sn.textBoxScale),$t&&Ci._rotate(yr?this.transform.angle:-this.transform.angle)):cn=!1}if(ri.textBox||ri.verticalTextBox){let sn;ri.textBox&&(sn=br),ri.verticalTextBox&&(sn=Fr),tr(w.textCollisionBox.collisionVertexArray,Wt.text.placed,!cn||sn,Hr.text,Ci.x,Ci.y)}}if(ri.iconBox||ri.verticalIconBox){let cn=!!(!Fr&&ri.verticalIconBox),sn;ri.iconBox&&(sn=cn),ri.verticalIconBox&&(sn=!cn),tr(w.iconCollisionBox.collisionVertexArray,Wt.icon.placed,sn,Hr.icon,Cr?Ci.x:0,Cr?Ci.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let ze=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=ze.invProjMatrix,w.placementViewportMatrix=ze.viewportMatrix,w.collisionCircleArray=ze.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function tr(ue,w,B,Q,ee,le){Q&&Q.length!==0||(Q=[0,0,0,0]);let Fe=Q[0]-mi,Ze=Q[1]-mi,ut=Q[2]-mi,Mt=Q[3]-mi;ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,Fe,Ze),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ut,Ze),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ut,Mt),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,Fe,Mt)}let ir=Math.pow(2,25),wr=Math.pow(2,24),Xr=Math.pow(2,17),ti=Math.pow(2,16),$r=Math.pow(2,9),Ri=Math.pow(2,8),Hi=Math.pow(2,1);function en(ue){if(ue.opacity===0&&!ue.placed)return 0;if(ue.opacity===1&&ue.placed)return 4294967295;let w=ue.placed?1:0,B=Math.floor(127*ue.opacity);return B*ir+w*wr+B*Xr+w*ti+B*$r+w*Ri+B*Hi+w}let fn=0;function yn(){return{isOccluded:(ue,w,B)=>!1,getPitchedTextCorrection:(ue,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(ue,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(ue,w,B,Q)=>(function(ee,le,Fe,Ze,ut=!1){if(!Fe[0]&&!Fe[1])return[0,0];let Mt=ut?Ze===\"map\"?ee.angle:0:Ze===\"viewport\"?-ee.angle:0;if(Mt){let Jt=Math.sin(Mt),$t=Math.cos(Mt);Fe=[Fe[0]*$t-Fe[1]*Jt,Fe[0]*Jt+Fe[1]*$t]}return[ut?Fe[0]:Fn(le,Fe[0],ee.zoom),ut?Fe[1]:Fn(le,Fe[1],ee.zoom)]})(ue,w,B,Q),getCircleRadiusCorrection:ue=>1}}class Mn{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,le){let Fe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(Fe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,le())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,Fe.sort(((Ze,ut)=>Ze.sortKey-ut.sortKey)));this._currentPartIndex<Fe.length;)if(B.placeLayerBucketPart(Fe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,le())return!0;return!1}}class Ba{constructor(w,B,Q,ee,le,Fe,Ze,ut){this.placement=new wt(w,yn(),B,Fe,Ze,ut),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=le,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),le=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let Fe=B[w[this._currentPlacementIndex]],Ze=this.placement.collisionIndex.transform.zoom;if(Fe.type===\"symbol\"&&(!Fe.minzoom||Fe.minzoom<=Ze)&&(!Fe.maxzoom||Fe.maxzoom>Ze)){if(this._inProgressLayer||(this._inProgressLayer=new Mn(Fe)),this._inProgressLayer.continuePlacement(Q[Fe.source],this.placement,this._showCollisionBoxes,Fe,le))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let ua=512/a.X/2;class ma{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let le=0;le<B.length;le++){let Fe=B.get(le),Ze=Fe.key,ut=ee.get(Ze);ut?ut.push(Fe):ee.set(Ze,[Fe])}for(let[le,Fe]of ee){let Ze={positions:Fe.map((ut=>({x:Math.floor(ut.anchorX*ua),y:Math.floor(ut.anchorY*ua)}))),crossTileIDs:Fe.map((ut=>ut.crossTileID))};if(Ze.positions.length>128){let ut=new a.av(Ze.positions.length,16,Uint16Array);for(let{x:Mt,y:Jt}of Ze.positions)ut.add(Mt,Jt);ut.finish(),delete Ze.positions,Ze.index=ut}this._symbolsByKey[le]=Ze}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:le}=this.tileID.canonical,{x:Fe,y:Ze,z:ut}=B.canonical,Mt=ua/Math.pow(2,ut-le),Jt=(Ze*a.X+w.anchorY)*Mt,$t=ee*a.X*ua;return{x:Math.floor((Fe*a.X+w.anchorX)*Mt-Q*a.X*ua),y:Math.floor(Jt-$t)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let le=0;le<w.length;le++){let Fe=w.get(le);if(Fe.crossTileID)continue;let Ze=this._symbolsByKey[Fe.key];if(!Ze)continue;let ut=this.getScaledCoordinates(Fe,B);if(Ze.index){let Mt=Ze.index.range(ut.x-ee,ut.y-ee,ut.x+ee,ut.y+ee).sort();for(let Jt of Mt){let $t=Ze.crossTileIDs[Jt];if(!Q[$t]){Q[$t]=!0,Fe.crossTileID=$t;break}}}else if(Ze.positions)for(let Mt=0;Mt<Ze.positions.length;Mt++){let Jt=Ze.positions[Mt],$t=Ze.crossTileIDs[Mt];if(Math.abs(Jt.x-ut.x)<=ee&&Math.abs(Jt.y-ut.y)<=ee&&!Q[$t]){Q[$t]=!0,Fe.crossTileID=$t;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:w})=>w))}}class Wa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class za{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],le={};for(let Fe in ee){let Ze=ee[Fe];Ze.tileID=Ze.tileID.unwrapTo(Ze.tileID.wrap+B),le[Ze.tileID.key]=Ze}this.indexes[Q]=le}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let le=0;le<B.symbolInstances.length;le++)B.symbolInstances.get(le).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let le in this.indexes){let Fe=this.indexes[le];if(Number(le)>w.overscaledZ)for(let Ze in Fe){let ut=Fe[Ze];ut.tileID.isChildOf(w)&&ut.findMatches(B.symbolInstances,w,ee)}else{let Ze=Fe[w.scaledTo(Number(le)).key];Ze&&Ze.findMatches(B.symbolInstances,w,ee)}}for(let le=0;le<B.symbolInstances.length;le++){let Fe=B.symbolInstances.get(le);Fe.crossTileID||(Fe.crossTileID=Q.generate(),ee[Fe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new ma(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let le in ee)w[ee[le].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[le]),delete ee[le],B=!0)}return B}}class Xo{constructor(){this.layerIndexes={},this.crossTileIDs=new Wa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new za);let le=!1,Fe={};ee.handleWrapJump(Q);for(let Ze of B){let ut=Ze.getBucket(w);ut&&w.id===ut.layerIds[0]&&(ut.bucketInstanceId||(ut.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(Ze.tileID,ut,this.crossTileIDs)&&(le=!0),Fe[ut.bucketInstanceId]=!0)}return ee.removeStaleBuckets(Fe)&&(le=!0),le}pruneUnusedLayers(w){let B={};w.forEach((Q=>{B[Q]=!0}));for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let da=(ue,w)=>a.t(ue,w&&w.filter((B=>B.identifier!==\"source.canvas\"))),jn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new ke(Se(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((Q,ee)=>this.getGlyphs(Q,ee))),this.dispatcher.registerMessageHandler(\"GI\",((Q,ee)=>this.getImages(Q,ee))),this.imageManager=new E,this.imageManager.setEventedParent(this),this.glyphManager=new G(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new ae(256,512),this.crossTileSymbolIndex=new Xo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),St().on(Ue,this._rtlPluginLoaded),this.on(\"data\",(Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let le=ee.getSource();if(le&&le.vectorLayerIds)for(let Fe in this._layers){let Ze=this._layers[Fe];Ze.source===le.id&&this._validateLayer(Ze)}}))}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let le=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then((Fe=>{this._loadStyleRequest=null,this._load(Fe.data,B,Q)})).catch((Fe=>{this._loadStyleRequest=null,Fe&&!le.signal.aborted&&this.fire(new a.j(Fe))}))}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)})).catch((()=>{}))}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(jn,{validate:!1})}_load(w,B,Q){var ee;let le=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!da(this,a.u(le))){this._loaded=!0,this.stylesheet=le;for(let Fe in le.sources)this.addSource(Fe,le.sources[Fe],{validate:!1});le.sprite?this._loadSprite(le.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(le.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map((B=>B.id)),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,(function(le,Fe,Ze,ut){return a._(this,void 0,void 0,(function*(){let Mt=C(le),Jt=Ze>1?\"@2x\":\"\",$t={},yr={};for(let{id:Cr,url:ve}of Mt){let xe=Fe.transformRequest(S(ve,Jt,\".json\"),\"SpriteJSON\");$t[Cr]=a.h(xe,ut);let Ie=Fe.transformRequest(S(ve,Jt,\".png\"),\"SpriteImage\");yr[Cr]=p.getImage(Ie,ut)}return yield Promise.all([...Object.values($t),...Object.values(yr)]),(function(Cr,ve){return a._(this,void 0,void 0,(function*(){let xe={};for(let Ie in Cr){xe[Ie]={};let ze=u.getImageCanvasContext((yield ve[Ie]).data),Qe=(yield Cr[Ie]).data;for(let Xe in Qe){let{width:nt,height:qt,x:Wt,y:nr,sdf:fr,pixelRatio:br,stretchX:Fr,stretchY:Hr,content:ri,textFitWidth:Ci,textFitHeight:cn}=Qe[Xe];xe[Ie][Xe]={data:null,pixelRatio:br,sdf:fr,stretchX:Fr,stretchY:Hr,content:ri,textFitWidth:Ci,textFitHeight:cn,spriteData:{width:nt,height:qt,x:Wt,y:nr,context:ze}}}}return xe}))})($t,yr)}))})(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((le=>{if(this._spriteRequest=null,le)for(let Fe in le){this._spritesImagesIds[Fe]=[];let Ze=this._spritesImagesIds[Fe]?this._spritesImagesIds[Fe].filter((ut=>!(ut in le))):[];for(let ut of Ze)this.imageManager.removeImage(ut),this._changedImages[ut]=!0;for(let ut in le[Fe]){let Mt=Fe===\"default\"?ut:`${Fe}:${ut}`;this._spritesImagesIds[Fe].push(Mt),Mt in this.imageManager.images?this.imageManager.updateImage(Mt,le[Fe][ut],!1):this.imageManager.addImage(Mt,le[Fe][ut]),B&&(this._changedImages[Mt]=!0)}}})).catch((le=>{this._spriteRequest=null,ee=le,this.fire(new a.j(ee))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)}))}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let le of w)if(Q[le]){let Fe=B?a.aB(Q[le]):Q[le];ee.push(Fe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),le=Object.keys(this._removedLayers);(ee.length||le.length)&&this._updateWorkerLayers(ee,le);for(let Fe in this._updatedSources){let Ze=this._updatedSources[Fe];if(Ze===\"reload\")this._reloadSource(Fe);else{if(Ze!==\"clear\")throw new Error(`Invalid action ${Ze}`);this._clearSource(Fe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let Fe in this._updatedPaintProps)this._layers[Fe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let le=this.sourceCaches[ee];Q[ee]=le.used,le.used=!1}for(let ee of this._order){let le=this._layers[ee];le.recalculate(w,this._availableImages),!le.isHidden(w.zoom)&&le.source&&(this.sourceCaches[le.source].used=!0)}for(let ee in Q){let le=this.sourceCaches[ee];!!Q[ee]!=!!le.used&&le.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&da(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let le=a.aC(ee,w),Fe=this._getOperationsToPerform(le);if(Fe.unimplemented.length>0)throw new Error(`Unimplemented: ${Fe.unimplemented.join(\", \")}.`);if(Fe.operations.length===0)return!1;for(let Ze of Fe.operations)Ze();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push((()=>this.addLayer.apply(this,ee.args)));break;case\"removeLayer\":B.push((()=>this.removeLayer.apply(this,ee.args)));break;case\"setPaintProperty\":B.push((()=>this.setPaintProperty.apply(this,ee.args)));break;case\"setLayoutProperty\":B.push((()=>this.setLayoutProperty.apply(this,ee.args)));break;case\"setFilter\":B.push((()=>this.setFilter.apply(this,ee.args)));break;case\"addSource\":B.push((()=>this.addSource.apply(this,ee.args)));break;case\"removeSource\":B.push((()=>this.removeSource.apply(this,ee.args)));break;case\"setLayerZoomRange\":B.push((()=>this.setLayerZoomRange.apply(this,ee.args)));break;case\"setLight\":B.push((()=>this.setLight.apply(this,ee.args)));break;case\"setGeoJSONSourceData\":B.push((()=>this.setGeoJSONSourceData.apply(this,ee.args)));break;case\"setGlyphs\":B.push((()=>this.setGlyphs.apply(this,ee.args)));break;case\"setSprite\":B.push((()=>this.setSprite.apply(this,ee.args)));break;case\"setSky\":B.push((()=>this.setSky.apply(this,ee.args)));break;case\"setTerrain\":B.push((()=>this.map.setTerrain.apply(this,ee.args)));break;case\"setTransition\":B.push((()=>{}));break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new pt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,(()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w}))),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let le;if(w.type===\"custom\"){if(da(this,a.aD(w)))return;le=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;le=a.aA(w),this._validateLayer(le),le.setEventedParent(this,{layer:{id:ee}})}let Fe=B?this._order.indexOf(B):this._order.length;if(B&&Fe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(Fe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=le,this._removedLayers[ee]&&le.source&&le.type!==\"custom\"){let Ze=this._removedLayers[ee];delete this._removedLayers[ee],Ze.type!==le.type?this._updatedSources[le.source]=\"clear\":(this._updatedSources[le.source]=\"reload\",this.sourceCaches[le.source].pause())}this._updateLayer(le),le.onAdd&&le.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getLayoutProperty(B),Q)||(le.setLayoutProperty(B,Q,ee),this._updateLayer(le)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getPaintProperty(B),Q)||(le.setPaintProperty(B,Q,ee)&&this._updateLayer(le),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,le=this.sourceCaches[Q];if(le===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let Fe=le.getSource().type;Fe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):Fe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),le.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let le=ee.getSource().type,Fe=le===\"vector\"?w.sourceLayer:void 0;le!==\"vector\"||Fe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(Fe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,(le=>le.serialize())),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},(le=>le!==void 0))}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=Fe=>this._layers[Fe].type===\"fill-extrusion\",Q={},ee=[];for(let Fe=this._order.length-1;Fe>=0;Fe--){let Ze=this._order[Fe];if(B(Ze)){Q[Ze]=Fe;for(let ut of w){let Mt=ut[Ze];if(Mt)for(let Jt of Mt)ee.push(Jt)}}}ee.sort(((Fe,Ze)=>Ze.intersectionZ-Fe.intersectionZ));let le=[];for(let Fe=this._order.length-1;Fe>=0;Fe--){let Ze=this._order[Fe];if(B(Ze))for(let ut=ee.length-1;ut>=0;ut--){let Mt=ee[ut].feature;if(Q[Mt.layer.id]<Fe)break;le.push(Mt),ee.pop()}else for(let ut of w){let Mt=ut[Ze];if(Mt)for(let Jt of Mt)le.push(Jt.feature)}}return le}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let Ze of B.layers){let ut=this._layers[Ze];if(!ut)return this.fire(new a.j(new Error(`The layer '${Ze}' does not exist in the map's style and cannot be queried for features.`))),[];ee[ut.source]=!0}}let le=[];B.availableImages=this._availableImages;let Fe=this._serializedAllLayers();for(let Ze in this.sourceCaches)B.layers&&!ee[Ze]||le.push(Le(this.sourceCaches[Ze],this._layers,Fe,w,B,Q));return this.placement&&le.push((function(Ze,ut,Mt,Jt,$t,yr,Cr){let ve={},xe=yr.queryRenderedSymbols(Jt),Ie=[];for(let ze of Object.keys(xe).map(Number))Ie.push(Cr[ze]);Ie.sort(me);for(let ze of Ie){let Qe=ze.featureIndex.lookupSymbolFeatures(xe[ze.bucketInstanceId],ut,ze.bucketIndex,ze.sourceLayerIndex,$t.filter,$t.layers,$t.availableImages,Ze);for(let Xe in Qe){let nt=ve[Xe]=ve[Xe]||[],qt=Qe[Xe];qt.sort(((Wt,nr)=>{let fr=ze.featureSortOrder;if(fr){let br=fr.indexOf(Wt.featureIndex);return fr.indexOf(nr.featureIndex)-br}return nr.featureIndex-Wt.featureIndex}));for(let Wt of qt)nt.push(Wt)}}for(let ze in ve)ve[ze].forEach((Qe=>{let Xe=Qe.feature,nt=Mt[Ze[ze].source].getFeatureState(Xe.layer[\"source-layer\"],Xe.id);Xe.source=Xe.layer.source,Xe.layer[\"source-layer\"]&&(Xe.sourceLayer=Xe.layer[\"source-layer\"]),Xe.state=nt}));return ve})(this._layers,Fe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(le)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?(function(ee,le){let Fe=ee.getRenderableIds().map((Mt=>ee.getTileByID(Mt))),Ze=[],ut={};for(let Mt=0;Mt<Fe.length;Mt++){let Jt=Fe[Mt],$t=Jt.tileID.canonical.key;ut[$t]||(ut[$t]=!0,Jt.querySourceFeatures(Ze,le))}return Ze})(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let Fe in w)if(!a.aE(w[Fe],Q[Fe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(le)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let Fe in w)if(!a.aE(w[Fe],Q[Fe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(le)}_validate(w,B,Q,ee,le={}){return(!le||le.validate!==!1)&&da(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),St().off(Ue,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,le=!1){let Fe=!1,Ze=!1,ut={};for(let Mt of this._order){let Jt=this._layers[Mt];if(Jt.type!==\"symbol\")continue;if(!ut[Jt.source]){let yr=this.sourceCaches[Jt.source];ut[Jt.source]=yr.getRenderableIds(!0).map((Cr=>yr.getTileByID(Cr))).sort(((Cr,ve)=>ve.tileID.overscaledZ-Cr.tileID.overscaledZ||(Cr.tileID.isLessThan(ve.tileID)?-1:1)))}let $t=this.crossTileSymbolIndex.addLayer(Jt,ut[Jt.source],w.center.lng);Fe=Fe||$t}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((le=le||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new Ba(w,this.map.terrain,this._order,le,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,ut),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),Ze=!0),Fe&&this.pauseablePlacement.placement.setStale()),Ze||Fe)for(let Mt of this._order){let Jt=this._layers[Mt];Jt.type===\"symbol\"&&this.placement.updateLayerOpacities(Jt,ut[Jt.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,(function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q}))}getGlyphs(w,B){return a._(this,void 0,void 0,(function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let le=[{id:w,url:B}],Fe=[...C(this.stylesheet.sprite),...le];this._validate(a.u.sprite,\"sprite\",Fe,null,Q)||(this.stylesheet.sprite=Fe,this._loadSprite(le,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find((Q=>Q.id===w))){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex((Q=>Q.id===w)),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var vo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let Gn={prelude:Ct(`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "`,`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n",
+       "#ifdef TERRAIN3D\n",
+       "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n",
+       "#endif\n",
+       "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n",
+       "#ifdef TERRAIN3D\n",
+       "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float calculate_visibility(vec4 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float ele(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}float get_elevation(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}`),background:Ct(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:Ct(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:Ct(`varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:Ct(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:Ct(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:Ct(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:Ct(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:Ct(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:Ct(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:Ct(`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:Ct(`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:Ct(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:Ct(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:Ct(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:Ct(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:Ct(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),lineGradient:Ct(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),linePattern:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:Ct(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:Ct(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:Ct(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:Ct(`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:Ct(`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:Ct(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:Ct(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:Ct(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:Ct(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function Ct(ue,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=ue.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),le=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),Fe=le?le.concat(ee):ee,Ze={};return{fragmentSource:ue=ue.replace(B,((ut,Mt,Jt,$t,yr)=>(Ze[yr]=!0,Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "varying ${Jt} ${$t} ${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`))),vertexSource:w=w.replace(B,((ut,Mt,Jt,$t,yr)=>{let Cr=$t===\"float\"?\"vec2\":\"vec4\",ve=yr.match(/color/)?\"color\":Cr;return Ze[yr]?Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "uniform lowp float u_${yr}_t;\n",
+       "attribute ${Jt} ${Cr} a_${yr};\n",
+       "varying ${Jt} ${$t} ${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:ve===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${yr} = a_${yr};\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${yr} = unpack_mix_${ve}(a_${yr}, u_${yr}_t);\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "uniform lowp float u_${yr}_t;\n",
+       "attribute ${Jt} ${Cr} a_${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:ve===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = a_${yr};\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = unpack_mix_${ve}(a_${yr}, u_${yr}_t);\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`})),staticAttributes:Q,staticUniforms:Fe}}class Sr{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,le,Fe,Ze,ut,Mt){this.context=w;let Jt=this.boundPaintVertexBuffers.length!==ee.length;for(let $t=0;!Jt&&$t<ee.length;$t++)this.boundPaintVertexBuffers[$t]!==ee[$t]&&(Jt=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Jt||this.boundIndexBuffer!==le||this.boundVertexOffset!==Fe||this.boundDynamicVertexBuffer!==Ze||this.boundDynamicVertexBuffer2!==ut||this.boundDynamicVertexBuffer3!==Mt?this.freshBind(B,Q,ee,le,Fe,Ze,ut,Mt):(w.bindVertexArray.set(this.vao),Ze&&Ze.bind(),le&&le.dynamicDraw&&le.bind(),ut&&ut.bind(),Mt&&Mt.bind())}freshBind(w,B,Q,ee,le,Fe,Ze,ut){let Mt=w.numAttributes,Jt=this.context,$t=Jt.gl;this.vao&&this.destroy(),this.vao=Jt.createVertexArray(),Jt.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=le,this.boundDynamicVertexBuffer=Fe,this.boundDynamicVertexBuffer2=Ze,this.boundDynamicVertexBuffer3=ut,B.enableAttributes($t,w);for(let yr of Q)yr.enableAttributes($t,w);Fe&&Fe.enableAttributes($t,w),Ze&&Ze.enableAttributes($t,w),ut&&ut.enableAttributes($t,w),B.bind(),B.setVertexAttribPointers($t,w,le);for(let yr of Q)yr.bind(),yr.setVertexAttribPointers($t,w,le);Fe&&(Fe.bind(),Fe.setVertexAttribPointers($t,w,le)),ee&&ee.bind(),Ze&&(Ze.bind(),Ze.setVertexAttribPointers($t,w,le)),ut&&(ut.bind(),ut.setVertexAttribPointers($t,w,le)),Jt.currentNumAttributes=Mt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Jr=(ue,w,B,Q,ee)=>({u_matrix:ue,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function hi(ue){let w=[];for(let B=0;B<ue.length;B++){if(ue[B]===null)continue;let Q=ue[B].split(\" \");w.push(Q.pop())}return w}class hn{constructor(w,B,Q,ee,le,Fe){let Ze=w.gl;this.program=Ze.createProgram();let ut=hi(B.staticAttributes),Mt=Q?Q.getBinderAttributes():[],Jt=ut.concat(Mt),$t=Gn.prelude.staticUniforms?hi(Gn.prelude.staticUniforms):[],yr=B.staticUniforms?hi(B.staticUniforms):[],Cr=Q?Q.getBinderUniforms():[],ve=$t.concat(yr).concat(Cr),xe=[];for(let Wt of ve)xe.indexOf(Wt)<0&&xe.push(Wt);let Ie=Q?Q.defines():[];le&&Ie.push(\"#define OVERDRAW_INSPECTOR;\"),Fe&&Ie.push(\"#define TERRAIN3D;\");let ze=Ie.concat(Gn.prelude.fragmentSource,B.fragmentSource).join(`\n",
+       "`),Qe=Ie.concat(Gn.prelude.vertexSource,B.vertexSource).join(`\n",
+       "`),Xe=Ze.createShader(Ze.FRAGMENT_SHADER);if(Ze.isContextLost())return void(this.failedToCreate=!0);if(Ze.shaderSource(Xe,ze),Ze.compileShader(Xe),!Ze.getShaderParameter(Xe,Ze.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${Ze.getShaderInfoLog(Xe)}`);Ze.attachShader(this.program,Xe);let nt=Ze.createShader(Ze.VERTEX_SHADER);if(Ze.isContextLost())return void(this.failedToCreate=!0);if(Ze.shaderSource(nt,Qe),Ze.compileShader(nt),!Ze.getShaderParameter(nt,Ze.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${Ze.getShaderInfoLog(nt)}`);Ze.attachShader(this.program,nt),this.attributes={};let qt={};this.numAttributes=Jt.length;for(let Wt=0;Wt<this.numAttributes;Wt++)Jt[Wt]&&(Ze.bindAttribLocation(this.program,Wt,Jt[Wt]),this.attributes[Jt[Wt]]=Wt);if(Ze.linkProgram(this.program),!Ze.getProgramParameter(this.program,Ze.LINK_STATUS))throw new Error(`Program failed to link: ${Ze.getProgramInfoLog(this.program)}`);Ze.deleteShader(nt),Ze.deleteShader(Xe);for(let Wt=0;Wt<xe.length;Wt++){let nr=xe[Wt];if(nr&&!qt[nr]){let fr=Ze.getUniformLocation(this.program,nr);fr&&(qt[nr]=fr)}}this.fixedUniforms=ee(w,qt),this.terrainUniforms=((Wt,nr)=>({u_depth:new a.aH(Wt,nr.u_depth),u_terrain:new a.aH(Wt,nr.u_terrain),u_terrain_dim:new a.aI(Wt,nr.u_terrain_dim),u_terrain_matrix:new a.aJ(Wt,nr.u_terrain_matrix),u_terrain_unpack:new a.aK(Wt,nr.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Wt,nr.u_terrain_exaggeration)}))(w,qt),this.binderUniforms=Q?Q.getUniforms(w,qt):[]}draw(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie,ze,Qe){let Xe=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(le),w.setCullFace(Fe),ut){w.activeTexture.set(Xe.TEXTURE2),Xe.bindTexture(Xe.TEXTURE_2D,ut.depthTexture),w.activeTexture.set(Xe.TEXTURE3),Xe.bindTexture(Xe.TEXTURE_2D,ut.texture);for(let qt in this.terrainUniforms)this.terrainUniforms[qt].set(ut[qt])}for(let qt in this.fixedUniforms)this.fixedUniforms[qt].set(Ze[qt]);xe&&xe.setUniforms(w,this.binderUniforms,Cr,{zoom:ve});let nt=0;switch(B){case Xe.LINES:nt=2;break;case Xe.TRIANGLES:nt=3;break;case Xe.LINE_STRIP:nt=1}for(let qt of yr.get()){let Wt=qt.vaos||(qt.vaos={});(Wt[Mt]||(Wt[Mt]=new Sr)).bind(w,this,Jt,xe?xe.getPaintVertexBuffers():[],$t,qt.vertexOffset,Ie,ze,Qe),Xe.drawElements(B,qt.primitiveLength*nt,Xe.UNSIGNED_SHORT,qt.primitiveOffset*nt*2)}}}function Sn(ue,w,B){let Q=1/Fn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),le=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,Fe=le*(B.tileID.canonical.x+B.tileID.wrap*ee),Ze=le*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,ue.fromScale,ue.toScale],u_fade:ue.t,u_pixel_coord_upper:[Fe>>16,Ze>>16],u_pixel_coord_lower:[65535&Fe,65535&Ze]}}let En=(ue,w,B,Q)=>{let ee=w.style.light,le=ee.properties.get(\"position\"),Fe=[le.x,le.y,le.z],Ze=(function(){var Mt=new a.A(9);return a.A!=Float32Array&&(Mt[1]=0,Mt[2]=0,Mt[3]=0,Mt[5]=0,Mt[6]=0,Mt[7]=0),Mt[0]=1,Mt[4]=1,Mt[8]=1,Mt})();ee.properties.get(\"anchor\")===\"viewport\"&&(function(Mt,Jt){var $t=Math.sin(Jt),yr=Math.cos(Jt);Mt[0]=yr,Mt[1]=$t,Mt[2]=0,Mt[3]=-$t,Mt[4]=yr,Mt[5]=0,Mt[6]=0,Mt[7]=0,Mt[8]=1})(Ze,-w.transform.angle),(function(Mt,Jt,$t){var yr=Jt[0],Cr=Jt[1],ve=Jt[2];Mt[0]=yr*$t[0]+Cr*$t[3]+ve*$t[6],Mt[1]=yr*$t[1]+Cr*$t[4]+ve*$t[7],Mt[2]=yr*$t[2]+Cr*$t[5]+ve*$t[8]})(Fe,Fe,Ze);let ut=ee.properties.get(\"color\");return{u_matrix:ue,u_lightpos:Fe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[ut.r,ut.g,ut.b],u_vertical_gradient:+B,u_opacity:Q}},ki=(ue,w,B,Q,ee,le,Fe)=>a.e(En(ue,w,B,Q),Sn(le,w,Fe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/Fe.tileSize/8}),_n=ue=>({u_matrix:ue}),ya=(ue,w,B,Q)=>a.e(_n(ue),Sn(B,w,Q)),ea=(ue,w)=>({u_matrix:ue,u_world:w}),Ma=(ue,w,B,Q,ee)=>a.e(ya(ue,w,B,Q),{u_world:ee}),_o=(ue,w,B,Q)=>{let ee=ue.transform,le,Fe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let Ze=Fn(B,1,ee.zoom);le=!0,Fe=[Ze,Ze]}else le=!1,Fe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:ue.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+le,u_device_pixel_ratio:ue.pixelRatio,u_extrude_scale:Fe}},No=(ue,w,B)=>({u_matrix:ue,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),po=(ue,w,B=1)=>({u_matrix:ue,u_color:w,u_overlay:0,u_overlay_scale:B}),Lo=ue=>({u_matrix:ue}),ko=(ue,w,B,Q)=>({u_matrix:ue,u_extrude_scale:Fn(w,1,B),u_intensity:Q}),Ds=(ue,w,B,Q)=>{let ee=a.H();a.aP(ee,0,ue.width,ue.height,0,0,1);let le=ue.context.gl;return{u_matrix:ee,u_world:[le.drawingBufferWidth,le.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function Fs(ue,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let ll=(ue,w,B,Q)=>{let ee=ue.transform;return{u_matrix:As(ue,w,B,Q),u_ratio:1/Fn(w,1,ee.zoom),u_device_pixel_ratio:ue.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},ul=(ue,w,B,Q,ee)=>a.e(ll(ue,w,B,ee),{u_image:0,u_image_height:Q}),Fl=(ue,w,B,Q,ee)=>{let le=ue.transform,Fe=rl(w,le);return{u_matrix:As(ue,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/Fn(w,1,le.zoom),u_device_pixel_ratio:ue.pixelRatio,u_image:0,u_scale:[Fe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/le.pixelsToGLUnits[0],1/le.pixelsToGLUnits[1]]}},us=(ue,w,B,Q,ee,le)=>{let Fe=ue.lineAtlas,Ze=rl(w,ue.transform),ut=B.layout.get(\"line-cap\")===\"round\",Mt=Fe.getDash(Q.from,ut),Jt=Fe.getDash(Q.to,ut),$t=Mt.width*ee.fromScale,yr=Jt.width*ee.toScale;return a.e(ll(ue,w,B,le),{u_patternscale_a:[Ze/$t,-Mt.height/2],u_patternscale_b:[Ze/yr,-Jt.height/2],u_sdfgamma:Fe.width/(256*Math.min($t,yr)*ue.pixelRatio)/2,u_image:0,u_tex_y_a:Mt.y,u_tex_y_b:Jt.y,u_mix:ee.t})};function rl(ue,w){return 1/Fn(ue,1,w.tileZoom)}function As(ue,w,B,Q){return ue.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let cl=(ue,w,B,Q,ee)=>{return{u_matrix:ue,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(Fe=ee.paint.get(\"raster-saturation\"),Fe>0?1-1/(1.001-Fe):-Fe),u_contrast_factor:(le=ee.paint.get(\"raster-contrast\"),le>0?1/(1-le):1+le),u_spin_weights:Ks(ee.paint.get(\"raster-hue-rotate\"))};var le,Fe};function Ks(ue){ue*=Math.PI/180;let w=Math.sin(ue),B=Math.cos(ue);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let zs=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr)=>{let ve=Fe.transform;return{u_is_size_zoom_constant:+(ue===\"constant\"||ue===\"source\"),u_is_size_feature_constant:+(ue===\"constant\"||ue===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:ve.cameraToCenterDistance,u_pitch:ve.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:ve.width/ve.height,u_fade_change:Fe.options.fadeDuration?Fe.symbolFadeChange:1,u_matrix:Ze,u_label_plane_matrix:ut,u_coord_matrix:Mt,u_is_text:+$t,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:le,u_texsize:yr,u_texture:0,u_translation:Jt,u_pitched_scale:Cr}},Io=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve)=>{let xe=Fe.transform;return a.e(zs(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,ve),{u_gamma_scale:Q?Math.cos(xe._pitch)*xe.cameraToCenterDistance:1,u_device_pixel_ratio:Fe.pixelRatio,u_is_halo:+Cr})},ls=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr)=>a.e(Io(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,!0,$t,!0,Cr),{u_texsize_icon:yr,u_texture_icon:1}),Yl=(ue,w,B)=>({u_matrix:ue,u_opacity:w,u_color:B}),Su=(ue,w,B,Q,ee,le)=>a.e((function(Fe,Ze,ut,Mt){let 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a.aO(ue,w.u_units_to_pixels),u_patternscale_a:new a.aO(ue,w.u_patternscale_a),u_patternscale_b:new a.aO(ue,w.u_patternscale_b),u_sdfgamma:new a.aI(ue,w.u_sdfgamma),u_image:new a.aH(ue,w.u_image),u_tex_y_a:new a.aI(ue,w.u_tex_y_a),u_tex_y_b:new a.aI(ue,w.u_tex_y_b),u_mix:new a.aI(ue,w.u_mix)}),raster:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_tl_parent:new a.aO(ue,w.u_tl_parent),u_scale_parent:new a.aI(ue,w.u_scale_parent),u_buffer_scale:new a.aI(ue,w.u_buffer_scale),u_fade_t:new a.aI(ue,w.u_fade_t),u_opacity:new a.aI(ue,w.u_opacity),u_image0:new a.aH(ue,w.u_image0),u_image1:new a.aH(ue,w.u_image1),u_brightness_low:new a.aI(ue,w.u_brightness_low),u_brightness_high:new a.aI(ue,w.u_brightness_high),u_saturation_factor:new a.aI(ue,w.u_saturation_factor),u_contrast_factor:new a.aI(ue,w.u_contrast_factor),u_spin_weights:new a.aN(ue,w.u_spin_weights)}),symbolIcon:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new 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a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_gamma_scale:new a.aI(ue,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_is_halo:new a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolTextAndIcon:(ue,w)=>({u_is_size_zoom_constant:new 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a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),background:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_color:new a.aL(ue,w.u_color)}),backgroundPattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_image:new a.aH(ue,w.u_image),u_pattern_tl_a:new a.aO(ue,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(ue,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(ue,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(ue,w.u_pattern_br_b),u_texsize:new a.aO(ue,w.u_texsize),u_mix:new a.aI(ue,w.u_mix),u_pattern_size_a:new a.aO(ue,w.u_pattern_size_a),u_pattern_size_b:new a.aO(ue,w.u_pattern_size_b),u_scale_a:new a.aI(ue,w.u_scale_a),u_scale_b:new a.aI(ue,w.u_scale_b),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(ue,w.u_tile_units_to_pixels)}),terrain:(ue,w)=>({u_matrix:new 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ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Rn={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class _a{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let le=w.gl;this.buffer=le.createBuffer(),w.bindVertexBuffer.set(this.buffer),le.bufferData(le.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?le.DYNAMIC_DRAW:le.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let le=this.attributes[ee],Fe=B.attributes[le.name];Fe!==void 0&&w.vertexAttribPointer(Fe,le.components,w[Rn[le.type]],!1,this.itemSize,le.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Vu=new WeakMap;function zl(ue){var w;if(Vu.has(ue))return Vu.get(ue);{let B=(w=ue.getParameter(ue.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Vu.set(ue,B),B}}class xo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Kl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ns extends xo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Hl extends xo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class ac extends xo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class oa extends xo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class qo extends xo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class Oo extends xo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class ql extends xo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class Pc extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class Do extends xo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class nf extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class Vf extends xo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class pl extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Zc extends xo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Jl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class qs extends xo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class yu extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class oc extends xo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Cf extends xo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class sc extends xo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class jh extends xo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class Lf extends xo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class cs extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class af extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class $l extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class fl extends xo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class lc extends xo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;zl(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Fu extends xo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class Es extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class Hs extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class Go extends xo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class ps extends Go{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class uc extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class bl extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gu{constructor(w,B,Q,ee,le){this.context=w,this.width=B,this.height=Q;let Fe=w.gl,Ze=this.framebuffer=Fe.createFramebuffer();if(this.colorAttachment=new ps(w,Ze),ee)this.depthAttachment=le?new bl(w,Ze):new uc(w,Ze);else if(le)throw new Error(\"Stencil cannot be set without depth\");if(Fe.checkFramebufferStatus(Fe.FRAMEBUFFER)!==Fe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class Os{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}Os.Replace=[1,0],Os.disabled=new Os(Os.Replace,a.aM.transparent,[!1,!1,!1,!1]),Os.unblended=new Os(Os.Replace,a.aM.transparent,[!0,!0,!0,!0]),Os.alphaBlended=new Os([1,771],a.aM.transparent,[!0,!0,!0,!0]);class od{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Kl(this),this.clearDepth=new Ns(this),this.clearStencil=new Hl(this),this.colorMask=new ac(this),this.depthMask=new oa(this),this.stencilMask=new qo(this),this.stencilFunc=new Oo(this),this.stencilOp=new ql(this),this.stencilTest=new Pc(this),this.depthRange=new Do(this),this.depthTest=new nf(this),this.depthFunc=new Vf(this),this.blend=new pl(this),this.blendFunc=new Zc(this),this.blendColor=new Jl(this),this.blendEquation=new qs(this),this.cullFace=new yu(this),this.cullFaceSide=new oc(this),this.frontFace=new Cf(this),this.program=new sc(this),this.activeTexture=new jh(this),this.viewport=new Lf(this),this.bindFramebuffer=new cs(this),this.bindRenderbuffer=new af(this),this.bindTexture=new Gf(this),this.bindVertexBuffer=new $l(this),this.bindElementBuffer=new fl(this),this.bindVertexArray=new lc(this),this.pixelStoreUnpack=new Fu(this),this.pixelStoreUnpackPremultiplyAlpha=new Es(this),this.pixelStoreUnpackFlipY=new Hs(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),zl(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(w,B){return new bs(this,w,B)}createVertexBuffer(w,B,Q){return new _a(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,le=ee.createRenderbuffer();return this.bindRenderbuffer.set(le),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),le}createFramebuffer(w,B,Q,ee){return new Gu(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,le=0;w&&(le|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(le|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(le|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(le)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,Os.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return zl(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return zl(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class Po{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}Po.ReadOnly=!1,Po.ReadWrite=!0,Po.disabled=new Po(519,Po.ReadOnly,[0,1]);let sd=7680;class Ko{constructor(w,B,Q,ee,le,Fe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=le,this.pass=Fe}}Ko.disabled=new Ko({func:519,mask:0},0,0,sd,sd,sd);class Pa{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let of;function Hu(ue,w,B,Q,ee){let le=ue.context,Fe=le.gl,Ze=ue.useProgram(\"collisionBox\"),ut=[],Mt=0,Jt=0;for(let ze=0;ze<Q.length;ze++){let Qe=Q[ze],Xe=w.getTile(Qe).getBucket(B);if(!Xe)continue;let nt=ee?Xe.textCollisionBox:Xe.iconCollisionBox,qt=Xe.collisionCircleArray;if(qt.length>0){let Wt=a.H();a.aQ(Wt,Xe.placementInvProjMatrix,ue.transform.glCoordMatrix),a.aQ(Wt,Wt,Xe.placementViewportMatrix),ut.push({circleArray:qt,circleOffset:Jt,transform:Qe.posMatrix,invTransform:Wt,coord:Qe}),Mt+=qt.length/4,Jt=Mt}nt&&Ze.draw(le,Fe.LINES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,{u_matrix:Qe.posMatrix,u_pixel_extrude_scale:[1/($t=ue.transform).width,1/$t.height]},ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Qe),B.id,nt.layoutVertexBuffer,nt.indexBuffer,nt.segments,null,ue.transform.zoom,null,null,nt.collisionVertexBuffer)}var $t;if(!ee||!ut.length)return;let yr=ue.useProgram(\"collisionCircle\"),Cr=new a.aR;Cr.resize(4*Mt),Cr._trim();let ve=0;for(let ze of ut)for(let Qe=0;Qe<ze.circleArray.length/4;Qe++){let Xe=4*Qe,nt=ze.circleArray[Xe+0],qt=ze.circleArray[Xe+1],Wt=ze.circleArray[Xe+2],nr=ze.circleArray[Xe+3];Cr.emplace(ve++,nt,qt,Wt,nr,0),Cr.emplace(ve++,nt,qt,Wt,nr,1),Cr.emplace(ve++,nt,qt,Wt,nr,2),Cr.emplace(ve++,nt,qt,Wt,nr,3)}(!of||of.length<2*Mt)&&(of=(function(ze){let Qe=2*ze,Xe=new a.aT;Xe.resize(Qe),Xe._trim();for(let nt=0;nt<Qe;nt++){let qt=6*nt;Xe.uint16[qt+0]=4*nt+0,Xe.uint16[qt+1]=4*nt+1,Xe.uint16[qt+2]=4*nt+2,Xe.uint16[qt+3]=4*nt+2,Xe.uint16[qt+4]=4*nt+3,Xe.uint16[qt+5]=4*nt+0}return Xe})(Mt));let xe=le.createIndexBuffer(of,!0),Ie=le.createVertexBuffer(Cr,a.aS.members,!0);for(let ze of ut){let Qe=No(ze.transform,ze.invTransform,ue.transform);yr.draw(le,Fe.TRIANGLES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,Qe,ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(ze.coord),B.id,Ie,xe,a.a0.simpleSegment(0,2*ze.circleOffset,ze.circleArray.length,ze.circleArray.length/2),null,ue.transform.zoom,null,null,null)}Ie.destroy(),xe.destroy()}Pa.disabled=new Pa(!1,1029,2305),Pa.backCCW=new Pa(!0,1029,2305);let wl=a.an(new Float32Array(16));function Hf(ue,w,B,Q,ee,le){let{horizontalAlign:Fe,verticalAlign:Ze}=a.au(ue);return new a.P((-(Fe-.5)*w/ee+Q[0])*le,(-(Ze-.5)*B/ee+Q[1])*le)}function Ic(ue,w,B,Q,ee,le){let Fe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let Ze=Q.mult(le);B||(Ze=Ze.rotate(-ee));let ut=Fe.add(Ze);return gt(ut.x,ut.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let Ze=Mr(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(ue),ut=Math.atan(Ze.y/Ze.x)+(Ze.x<0?Math.PI:0);return ue.add(Q.rotate(ut))}return ue.add(Q)}function yf(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr){let ve=ue.text.placedSymbolArray,xe=ue.text.dynamicLayoutVertexArray,Ie=ue.icon.dynamicLayoutVertexArray,ze={};xe.clear();for(let Qe=0;Qe<ve.length;Qe++){let Xe=ve.get(Qe),nt=Xe.hidden||!Xe.crossTileID||ue.allowVerticalPlacement&&!Xe.placedOrientation?null:Q[Xe.crossTileID];if(nt){let qt=new a.P(Xe.anchorX,Xe.anchorY),Wt={getElevation:Cr,width:ee.width,height:ee.height,labelPlaneMatrix:le,lineVertexArray:null,pitchWithMap:B,projection:Jt,projectionCache:null,tileAnchorPoint:qt,translation:$t,unwrappedTileID:yr},nr=B?gt(qt.x,qt.y,Fe,Cr):Mr(qt.x,qt.y,Wt),fr=Ge(ee.cameraToCenterDistance,nr.signedDistanceFromCamera),br=a.ai(ue.textSizeData,ut,Xe)*fr/a.ap;B&&(br*=ue.tilePixelRatio/Ze);let{width:Fr,height:Hr,anchor:ri,textOffset:Ci,textBoxScale:cn}=nt,sn=Hf(ri,Fr,Hr,Ci,cn,br),Ln=Jt.getPitchedTextCorrection(ee,qt.add(new a.P($t[0],$t[1])),yr),Kn=Ic(nr.point,Wt,w,sn,ee.angle,Ln),Aa=ue.allowVerticalPlacement&&Xe.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let fa=0;fa<Xe.numGlyphs;fa++)a.aj(xe,Kn,Aa);Mt&&Xe.associatedIconIndex>=0&&(ze[Xe.associatedIconIndex]={shiftedAnchor:Kn,angle:Aa})}else Pi(Xe.numGlyphs,xe)}if(Mt){Ie.clear();let Qe=ue.icon.placedSymbolArray;for(let Xe=0;Xe<Qe.length;Xe++){let nt=Qe.get(Xe);if(nt.hidden)Pi(nt.numGlyphs,Ie);else{let qt=ze[Xe];if(qt)for(let Wt=0;Wt<nt.numGlyphs;Wt++)a.aj(Ie,qt.shiftedAnchor,qt.angle);else Pi(nt.numGlyphs,Ie)}}ue.icon.dynamicLayoutVertexBuffer.updateData(Ie)}ue.text.dynamicLayoutVertexBuffer.updateData(xe)}function Ol(ue,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":ue?\"symbolSDF\":\"symbolIcon\"}function Ah(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t){let yr=ue.context,Cr=yr.gl,ve=ue.transform,xe=yn(),Ie=Ze===\"map\",ze=ut===\"map\",Qe=Ze!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",Xe=Ie&&!ze&&!Qe,nt=!ze&&Qe,qt=!B.layout.get(\"symbol-sort-key\").isConstant(),Wt=!1,nr=ue.depthModeForSublayer(0,Po.ReadOnly),fr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),br=[],Fr=xe.getCircleRadiusCorrection(ve);for(let Hr of Q){let ri=w.getTile(Hr),Ci=ri.getBucket(B);if(!Ci)continue;let cn=ee?Ci.text:Ci.icon;if(!cn||!cn.segments.get().length||!cn.hasVisibleVertices)continue;let sn=cn.programConfigurations.get(B.id),Ln=ee||Ci.sdfIcons,Kn=ee?Ci.textSizeData:Ci.iconSizeData,Aa=ze||ve.pitch!==0,fa=ue.useProgram(Ol(Ln,ee,Ci),sn),$a=a.ag(Kn,ve.zoom),Co=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Hr),Qa,mo,Bo,Ps,Ts=[0,0],wo=null;if(ee)mo=ri.glyphAtlasTexture,Bo=Cr.LINEAR,Qa=ri.glyphAtlasTexture.size,Ci.iconsInText&&(Ts=ri.imageAtlasTexture.size,wo=ri.imageAtlasTexture,Ps=Aa||ue.options.rotating||ue.options.zooming||Kn.kind===\"composite\"||Kn.kind===\"camera\"?Cr.LINEAR:Cr.NEAREST);else{let Ye=B.layout.get(\"icon-size\").constantOr(0)!==1||Ci.iconsNeedLinear;mo=ri.imageAtlasTexture,Bo=Ln||ue.options.rotating||ue.options.zooming||Ye||Aa?Cr.LINEAR:Cr.NEAREST,Qa=ri.imageAtlasTexture.size}let To=Fn(ri,1,ue.transform.zoom),hl=nt?Hr.posMatrix:wl,Nl=qr(hl,ze,Ie,ue.transform,To),Lu=jr(hl,ze,Ie,ue.transform,To),au=jr(Hr.posMatrix,ze,Ie,ue.transform,To),Js=xe.translatePosition(ue.transform,ri,le,Fe),eu=fr&&Ci.hasTextData(),dc=B.layout.get(\"icon-text-fit\")!==\"none\"&&eu&&Ci.hasIconData();if(Qe){let Ye=ue.style.map.terrain?(ot,Xt)=>ue.style.map.terrain.getElevation(Hr,ot,Xt):null,Pt=B.layout.get(\"text-rotation-alignment\")===\"map\";We(Ci,Hr.posMatrix,ue,ee,Nl,au,ze,Mt,Pt,xe,Hr.toUnwrapped(),ve.width,ve.height,Js,Ye)}let Al=Hr.posMatrix,Sl=ee&&fr||dc,X=Qe||Sl?wl:Nl,se=Lu,Te=Ln&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,qe;qe=Ln?Ci.iconsInText?ls(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,Qa,Ts,Fr):Io(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,ee,Qa,!0,Fr):zs(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,ee,Qa,Fr);let Ve={program:fa,buffers:cn,uniformValues:qe,atlasTexture:mo,atlasTextureIcon:wo,atlasInterpolation:Bo,atlasInterpolationIcon:Ps,isSDF:Ln,hasHalo:Te};if(qt&&Ci.canOverlap){Wt=!0;let Ye=cn.segments.get();for(let Pt of Ye)br.push({segments:new a.a0([Pt]),sortKey:Pt.sortKey,state:Ve,terrainData:Co})}else br.push({segments:cn.segments,sortKey:0,state:Ve,terrainData:Co})}Wt&&br.sort(((Hr,ri)=>Hr.sortKey-ri.sortKey));for(let Hr of br){let ri=Hr.state;if(yr.activeTexture.set(Cr.TEXTURE0),ri.atlasTexture.bind(ri.atlasInterpolation,Cr.CLAMP_TO_EDGE),ri.atlasTextureIcon&&(yr.activeTexture.set(Cr.TEXTURE1),ri.atlasTextureIcon&&ri.atlasTextureIcon.bind(ri.atlasInterpolationIcon,Cr.CLAMP_TO_EDGE)),ri.isSDF){let Ci=ri.uniformValues;ri.hasHalo&&(Ci.u_is_halo=1,Qf(ri.buffers,Hr.segments,B,ue,ri.program,nr,Jt,$t,Ci,Hr.terrainData)),Ci.u_is_halo=0}Qf(ri.buffers,Hr.segments,B,ue,ri.program,nr,Jt,$t,ri.uniformValues,Hr.terrainData)}}function Qf(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt){let Jt=Q.context;ee.draw(Jt,Jt.gl.TRIANGLES,le,Fe,Ze,Pa.disabled,ut,Mt,B.id,ue.layoutVertexBuffer,ue.indexBuffer,w,B.paint,Q.transform.zoom,ue.programConfigurations.get(B.id),ue.dynamicLayoutVertexBuffer,ue.opacityVertexBuffer)}function _f(ue,w,B,Q){let ee=ue.context,le=ee.gl,Fe=Ko.disabled,Ze=new Os([le.ONE,le.ONE],a.aM.transparent,[!0,!0,!0,!0]),ut=w.getBucket(B);if(!ut)return;let Mt=Q.key,Jt=B.heatmapFbos.get(Mt);Jt||(Jt=eh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(Mt,Jt)),ee.bindFramebuffer.set(Jt.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let $t=ut.programConfigurations.get(B.id),yr=ue.useProgram(\"heatmap\",$t),Cr=ue.style.map.terrain.getTerrainData(Q);yr.draw(ee,le.TRIANGLES,Po.disabled,Fe,Ze,Pa.disabled,ko(Q.posMatrix,w,ue.transform.zoom,B.paint.get(\"heatmap-intensity\")),Cr,B.id,ut.layoutVertexBuffer,ut.indexBuffer,ut.segments,B.paint,ue.transform.zoom,$t)}function Yc(ue,w,B){let Q=ue.context,ee=Q.gl;Q.setColorMode(ue.colorModeForRenderPass());let le=th(Q,w),Fe=B.key,Ze=w.heatmapFbos.get(Fe);Ze&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Ze.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),le.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),ue.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,Ds(ue,w,0,1),null,w.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments,w.paint,ue.transform.zoom),Ze.destroy(),w.heatmapFbos.delete(Fe))}function eh(ue,w,B){var Q,ee;let le=ue.gl,Fe=le.createTexture();le.bindTexture(le.TEXTURE_2D,Fe),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,le.LINEAR),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,le.LINEAR);let Ze=(Q=ue.HALF_FLOAT)!==null&&Q!==void 0?Q:le.UNSIGNED_BYTE,ut=(ee=ue.RGBA16F)!==null&&ee!==void 0?ee:le.RGBA;le.texImage2D(le.TEXTURE_2D,0,ut,w,B,0,le.RGBA,Ze,null);let Mt=ue.createFramebuffer(w,B,!1,!1);return Mt.colorAttachment.set(Fe),Mt}function th(ue,w){return w.colorRampTexture||(w.colorRampTexture=new g(ue,w.colorRamp,ue.gl.RGBA)),w.colorRampTexture}function ju(ue,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let le=Q.imageAtlas.patternPositions,Fe=le[B.to.toString()],Ze=le[B.from.toString()];if(!Fe&&Ze&&(Fe=Ze),!Ze&&Fe&&(Ze=Fe),!Fe||!Ze){let ut=ee.getPaintProperty(w);Fe=le[ut],Ze=le[ut]}Fe&&Ze&&ue.setConstantPatternPositions(Fe,Ze)}function jf(ue,w,B,Q,ee,le,Fe){let Ze=ue.context.gl,ut=\"fill-pattern\",Mt=B.paint.get(ut),Jt=Mt&&Mt.constantOr(1),$t=B.getCrossfadeParameters(),yr,Cr,ve,xe,Ie;Fe?(Cr=Jt&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",yr=Ze.LINES):(Cr=Jt?\"fillPattern\":\"fill\",yr=Ze.TRIANGLES);let ze=Mt.constantOr(null);for(let Qe of Q){let Xe=w.getTile(Qe);if(Jt&&!Xe.patternsLoaded())continue;let nt=Xe.getBucket(B);if(!nt)continue;let qt=nt.programConfigurations.get(B.id),Wt=ue.useProgram(Cr,qt),nr=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Qe);Jt&&(ue.context.activeTexture.set(Ze.TEXTURE0),Xe.imageAtlasTexture.bind(Ze.LINEAR,Ze.CLAMP_TO_EDGE),qt.updatePaintBuffers($t)),ju(qt,ut,ze,Xe,B);let fr=nr?Qe:null,br=ue.translatePosMatrix(fr?fr.posMatrix:Qe.posMatrix,Xe,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(Fe){xe=nt.indexBuffer2,Ie=nt.segments2;let Fr=[Ze.drawingBufferWidth,Ze.drawingBufferHeight];ve=Cr===\"fillOutlinePattern\"&&Jt?Ma(br,ue,$t,Xe,Fr):ea(br,Fr)}else xe=nt.indexBuffer,Ie=nt.segments,ve=Jt?ya(br,ue,$t,Xe):_n(br);Wt.draw(ue.context,yr,ee,ue.stencilModeForClipping(Qe),le,Pa.disabled,ve,nr,B.id,nt.layoutVertexBuffer,xe,Ie,B.paint,ue.transform.zoom,qt)}}function cc(ue,w,B,Q,ee,le,Fe){let Ze=ue.context,ut=Ze.gl,Mt=\"fill-extrusion-pattern\",Jt=B.paint.get(Mt),$t=Jt.constantOr(1),yr=B.getCrossfadeParameters(),Cr=B.paint.get(\"fill-extrusion-opacity\"),ve=Jt.constantOr(null);for(let xe of Q){let Ie=w.getTile(xe),ze=Ie.getBucket(B);if(!ze)continue;let Qe=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(xe),Xe=ze.programConfigurations.get(B.id),nt=ue.useProgram($t?\"fillExtrusionPattern\":\"fillExtrusion\",Xe);$t&&(ue.context.activeTexture.set(ut.TEXTURE0),Ie.imageAtlasTexture.bind(ut.LINEAR,ut.CLAMP_TO_EDGE),Xe.updatePaintBuffers(yr)),ju(Xe,Mt,ve,Ie,B);let qt=ue.translatePosMatrix(xe.posMatrix,Ie,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Wt=B.paint.get(\"fill-extrusion-vertical-gradient\"),nr=$t?ki(qt,ue,Wt,Cr,xe,yr,Ie):En(qt,ue,Wt,Cr);nt.draw(Ze,Ze.gl.TRIANGLES,ee,le,Fe,Pa.backCCW,nr,Qe,B.id,ze.layoutVertexBuffer,ze.indexBuffer,ze.segments,B.paint,ue.transform.zoom,Xe,ue.style.map.terrain&&ze.centroidVertexBuffer)}}function sf(ue,w,B,Q,ee,le,Fe){let Ze=ue.context,ut=Ze.gl,Mt=B.fbo;if(!Mt)return;let Jt=ue.useProgram(\"hillshade\"),$t=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(w);Ze.activeTexture.set(ut.TEXTURE0),ut.bindTexture(ut.TEXTURE_2D,Mt.colorAttachment.get()),Jt.draw(Ze,ut.TRIANGLES,ee,le,Fe,Pa.disabled,((yr,Cr,ve,xe)=>{let Ie=ve.paint.get(\"hillshade-shadow-color\"),ze=ve.paint.get(\"hillshade-highlight-color\"),Qe=ve.paint.get(\"hillshade-accent-color\"),Xe=ve.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);ve.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(Xe-=yr.transform.angle);let nt=!yr.options.moving;return{u_matrix:xe?xe.posMatrix:yr.transform.calculatePosMatrix(Cr.tileID.toUnwrapped(),nt),u_image:0,u_latrange:Fs(0,Cr.tileID),u_light:[ve.paint.get(\"hillshade-exaggeration\"),Xe],u_shadow:Ie,u_highlight:ze,u_accent:Qe}})(ue,B,Q,$t?w:null),$t,Q.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments)}function Bl(ue,w,B,Q,ee,le){let Fe=ue.context,Ze=Fe.gl,ut=w.dem;if(ut&&ut.data){let Mt=ut.dim,Jt=ut.stride,$t=ut.getPixels();if(Fe.activeTexture.set(Ze.TEXTURE1),Fe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||ue.getTileTexture(Jt),w.demTexture){let Cr=w.demTexture;Cr.update($t,{premultiply:!1}),Cr.bind(Ze.NEAREST,Ze.CLAMP_TO_EDGE)}else w.demTexture=new g(Fe,$t,Ze.RGBA,{premultiply:!1}),w.demTexture.bind(Ze.NEAREST,Ze.CLAMP_TO_EDGE);Fe.activeTexture.set(Ze.TEXTURE0);let yr=w.fbo;if(!yr){let Cr=new g(Fe,{width:Mt,height:Mt,data:null},Ze.RGBA);Cr.bind(Ze.LINEAR,Ze.CLAMP_TO_EDGE),yr=w.fbo=Fe.createFramebuffer(Mt,Mt,!0,!1),yr.colorAttachment.set(Cr.texture)}Fe.bindFramebuffer.set(yr.framebuffer),Fe.viewport.set([0,0,Mt,Mt]),ue.useProgram(\"hillshadePrepare\").draw(Fe,Ze.TRIANGLES,Q,ee,le,Pa.disabled,((Cr,ve)=>{let xe=ve.stride,Ie=a.H();return a.aP(Ie,0,a.X,-a.X,0,0,1),a.J(Ie,Ie,[0,-a.X,0]),{u_matrix:Ie,u_image:1,u_dimension:[xe,xe],u_zoom:Cr.overscaledZ,u_unpack:ve.getUnpackVector()}})(w.tileID,ut),null,B.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Kc(ue,w,B,Q,ee,le){let Fe=Q.paint.get(\"raster-fade-duration\");if(!le&&Fe>0){let Ze=u.now(),ut=(Ze-ue.timeAdded)/Fe,Mt=w?(Ze-w.timeAdded)/Fe:-1,Jt=B.getSource(),$t=ee.coveringZoomLevel({tileSize:Jt.tileSize,roundZoom:Jt.roundZoom}),yr=!w||Math.abs(w.tileID.overscaledZ-$t)>Math.abs(ue.tileID.overscaledZ-$t),Cr=yr&&ue.refreshedUponExpiration?1:a.ac(yr?ut:1-Mt,0,1);return ue.refreshedUponExpiration&&ut>=1&&(ue.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Cr}:{opacity:Cr,mix:0}}return{opacity:1,mix:0}}let Rc=new a.aM(1,0,0,1),gs=new a.aM(0,1,0,1),Wf=new a.aM(0,0,1,1),Wh=new a.aM(1,0,1,1),rh=new a.aM(0,1,1,1);function lf(ue,w,B,Q){Mu(ue,0,w+B/2,ue.transform.width,B,Q)}function Sh(ue,w,B,Q){Mu(ue,w-B/2,0,B,ue.transform.height,Q)}function Mu(ue,w,B,Q,ee,le){let Fe=ue.context,Ze=Fe.gl;Ze.enable(Ze.SCISSOR_TEST),Ze.scissor(w*ue.pixelRatio,B*ue.pixelRatio,Q*ue.pixelRatio,ee*ue.pixelRatio),Fe.clear({color:le}),Ze.disable(Ze.SCISSOR_TEST)}function ih(ue,w,B){let Q=ue.context,ee=Q.gl,le=B.posMatrix,Fe=ue.useProgram(\"debug\"),Ze=Po.disabled,ut=Ko.disabled,Mt=ue.colorModeForRenderPass(),Jt=\"$debug\",$t=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let yr=w.getTileByID(B.key).latestRawTileData,Cr=Math.floor((yr&&yr.byteLength||0)/1024),ve=w.getTile(B).tileSize,xe=512/Math.min(ve,512)*(B.overscaledZ/ue.transform.zoom)*.5,Ie=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Ie+=` => ${B.overscaledZ}`),(function(ze,Qe){ze.initDebugOverlayCanvas();let Xe=ze.debugOverlayCanvas,nt=ze.context.gl,qt=ze.debugOverlayCanvas.getContext(\"2d\");qt.clearRect(0,0,Xe.width,Xe.height),qt.shadowColor=\"white\",qt.shadowBlur=2,qt.lineWidth=1.5,qt.strokeStyle=\"white\",qt.textBaseline=\"top\",qt.font=\"bold 36px Open Sans, sans-serif\",qt.fillText(Qe,5,5),qt.strokeText(Qe,5,5),ze.debugOverlayTexture.update(Xe),ze.debugOverlayTexture.bind(nt.LINEAR,nt.CLAMP_TO_EDGE)})(ue,`${Ie} ${Cr}kB`),Fe.draw(Q,ee.TRIANGLES,Ze,ut,Os.alphaBlended,Pa.disabled,po(le,a.aM.transparent,xe),null,Jt,ue.debugBuffer,ue.quadTriangleIndexBuffer,ue.debugSegments),Fe.draw(Q,ee.LINE_STRIP,Ze,ut,Mt,Pa.disabled,po(le,a.aM.red),$t,Jt,ue.debugBuffer,ue.tileBorderIndexBuffer,ue.debugSegments)}function js(ue,w,B){let Q=ue.context,ee=Q.gl,le=ue.colorModeForRenderPass(),Fe=new Po(ee.LEQUAL,Po.ReadWrite,ue.depthRangeFor3D),Ze=ue.useProgram(\"terrain\"),ut=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,ue.width,ue.height]);for(let Mt of B){let Jt=ue.renderToTexture.getTexture(Mt),$t=w.getTerrainData(Mt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Jt.texture);let yr=ue.transform.calculatePosMatrix(Mt.tileID.toUnwrapped()),Cr=w.getMeshFrameDelta(ue.transform.zoom),ve=ue.transform.calculateFogMatrix(Mt.tileID.toUnwrapped()),xe=Jr(yr,Cr,ve,ue.style.sky,ue.transform.pitch);Ze.draw(Q,ee.TRIANGLES,Fe,Ko.disabled,le,Pa.backCCW,xe,$t,\"terrain\",ut.vertexBuffer,ut.indexBuffer,ut.segments)}}class Eu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Dc{constructor(w,B){this.context=new od(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=pt.maxUnderzooming+pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Xo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,vo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,vo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,ct.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let le=new a.aX;le.emplaceBack(0,0),le.emplaceBack(1,0),le.emplaceBack(0,1),le.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(le,vo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let Fe=new a.aZ;Fe.emplaceBack(0),Fe.emplaceBack(1),Fe.emplaceBack(3),Fe.emplaceBack(2),Fe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(Fe);let Ze=new a.aY;Ze.emplaceBack(0,1,2),Ze.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(Ze);let ut=this.context.gl;this.stencilClearMode=new Ko({func:ut.ALWAYS,mask:0},0,255,ut.ZERO,ut.ZERO,ut.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,Po.disabled,this.stencilClearMode,Os.disabled,Pa.disabled,Lo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Os.disabled),Q.setDepthMode(Po.disabled);let le=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let Fe of B){let Ze=this._tileClippingMaskIDs[Fe.key]=this.nextStencilID++,ut=this.style.map.terrain&&this.style.map.terrain.getTerrainData(Fe);le.draw(Q,ee.TRIANGLES,Po.disabled,new Ko({func:ee.ALWAYS,mask:0},Ze,255,ee.KEEP,ee.KEEP,ee.REPLACE),Os.disabled,Pa.disabled,Lo(Fe.posMatrix),ut,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new Ko({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new Ko({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort(((Fe,Ze)=>Ze.overscaledZ-Fe.overscaledZ)),ee=Q[Q.length-1].overscaledZ,le=Q[0].overscaledZ-ee+1;if(le>1){this.currentStencilSource=void 0,this.nextStencilID+le>256&&this.clearStencil();let Fe={};for(let Ze=0;Ze<le;Ze++)Fe[Ze+ee]=new Ko({func:B.GEQUAL,mask:255},Ze+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=le,[Fe,Q]}return[{[ee]:Ko.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new Os([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?Os.unblended:Os.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return Po.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new Po(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,le={},Fe={},Ze={};for(let ut in ee){let Mt=ee[ut];Mt.used&&Mt.prepare(this.context),le[ut]=Mt.getVisibleCoordinates(),Fe[ut]=le[ut].slice().reverse(),Ze[ut]=Mt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let ut=0;ut<Q.length;ut++)if(this.style._layers[Q[ut]].is3D()){this.opaquePassCutoff=ut;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let ut of Q){let Mt=this.style._layers[ut];if(!Mt.hasOffscreenPass()||Mt.isHidden(this.transform.zoom))continue;let Jt=Fe[Mt.source];(Mt.type===\"custom\"||Jt.length)&&this.renderLayer(this,ee[Mt.source],Mt,Jt)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&(function(ut,Mt){let Jt=ut.context,$t=Jt.gl,yr=((ze,Qe,Xe)=>({u_sky_color:ze.properties.get(\"sky-color\"),u_horizon_color:ze.properties.get(\"horizon-color\"),u_horizon:(Qe.height/2+Qe.getHorizon())*Xe,u_sky_horizon_blend:ze.properties.get(\"sky-horizon-blend\")*Qe.height/2*Xe}))(Mt,ut.style.map.transform,ut.pixelRatio),Cr=new Po($t.LEQUAL,Po.ReadWrite,[0,1]),ve=Ko.disabled,xe=ut.colorModeForRenderPass(),Ie=ut.useProgram(\"sky\");if(!Mt.mesh){let ze=new a.aX;ze.emplaceBack(-1,-1),ze.emplaceBack(1,-1),ze.emplaceBack(1,1),ze.emplaceBack(-1,1);let Qe=new a.aY;Qe.emplaceBack(0,1,2),Qe.emplaceBack(0,2,3),Mt.mesh=new Eu(Jt.createVertexBuffer(ze,vo.members),Jt.createIndexBuffer(Qe),a.a0.simpleSegment(0,0,ze.length,Qe.length))}Ie.draw(Jt,$t.TRIANGLES,Cr,ve,xe,Pa.disabled,yr,void 0,\"sky\",Mt.mesh.vertexBuffer,Mt.mesh.indexBuffer,Mt.mesh.segments)})(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let ut=this.style._layers[Q[this.currentLayer]],Mt=ee[ut.source],Jt=le[ut.source];this._renderTileClippingMasks(ut,Jt),this.renderLayer(this,Mt,ut,Jt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let ut=this.style._layers[Q[this.currentLayer]],Mt=ee[ut.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(ut))continue;let Jt=(ut.type===\"symbol\"?Ze:Fe)[ut.source];this._renderTileClippingMasks(ut,le[ut.source]),this.renderLayer(this,Mt,ut,Jt)}if(this.options.showTileBoundaries){let ut=(function(Mt,Jt){let $t=null,yr=Object.values(Mt._layers).flatMap((Ie=>Ie.source&&!Ie.isHidden(Jt)?[Mt.sourceCaches[Ie.source]]:[])),Cr=yr.filter((Ie=>Ie.getSource().type===\"vector\")),ve=yr.filter((Ie=>Ie.getSource().type!==\"vector\")),xe=Ie=>{(!$t||$t.getSource().maxzoom<Ie.getSource().maxzoom)&&($t=Ie)};return Cr.forEach((Ie=>xe(Ie))),$t||ve.forEach((Ie=>xe(Ie))),$t})(this.style,this.transform.zoom);ut&&(function(Mt,Jt,$t){for(let yr=0;yr<$t.length;yr++)ih(Mt,Jt,$t[yr])})(this,ut,ut.getVisibleCoordinates())}this.options.showPadding&&(function(ut){let Mt=ut.transform.padding;lf(ut,ut.transform.height-(Mt.top||0),3,Rc),lf(ut,Mt.bottom||0,3,gs),Sh(ut,Mt.left||0,3,Wf),Sh(ut,ut.transform.width-(Mt.right||0),3,Wh);let Jt=ut.transform.centerPoint;(function($t,yr,Cr,ve){Mu($t,yr-1,Cr-10,2,20,ve),Mu($t,yr-10,Cr-1,20,2,ve)})(ut,Jt.x,ut.transform.height-Jt.y,rh)})(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,(function(le,Fe){let Ze=le.context,ut=Ze.gl,Mt=Os.unblended,Jt=new Po(ut.LEQUAL,Po.ReadWrite,[0,1]),$t=Fe.getTerrainMesh(),yr=Fe.sourceCache.getRenderableTiles(),Cr=le.useProgram(\"terrainDepth\");Ze.bindFramebuffer.set(Fe.getFramebuffer(\"depth\").framebuffer),Ze.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Ze.clear({color:a.aM.transparent,depth:1});for(let ve of yr){let xe=Fe.getTerrainData(ve.tileID),Ie={u_matrix:le.transform.calculatePosMatrix(ve.tileID.toUnwrapped()),u_ele_delta:Fe.getMeshFrameDelta(le.transform.zoom)};Cr.draw(Ze,ut.TRIANGLES,Jt,Ko.disabled,Mt,Pa.backCCW,Ie,xe,\"terrain\",$t.vertexBuffer,$t.indexBuffer,$t.segments)}Ze.bindFramebuffer.set(null),Ze.viewport.set([0,0,le.width,le.height])})(this,this.style.map.terrain),(function(le,Fe){let Ze=le.context,ut=Ze.gl,Mt=Os.unblended,Jt=new Po(ut.LEQUAL,Po.ReadWrite,[0,1]),$t=Fe.getTerrainMesh(),yr=Fe.getCoordsTexture(),Cr=Fe.sourceCache.getRenderableTiles(),ve=le.useProgram(\"terrainCoords\");Ze.bindFramebuffer.set(Fe.getFramebuffer(\"coords\").framebuffer),Ze.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Ze.clear({color:a.aM.transparent,depth:1}),Fe.coordsIndex=[];for(let xe of Cr){let Ie=Fe.getTerrainData(xe.tileID);Ze.activeTexture.set(ut.TEXTURE0),ut.bindTexture(ut.TEXTURE_2D,yr.texture);let ze={u_matrix:le.transform.calculatePosMatrix(xe.tileID.toUnwrapped()),u_terrain_coords_id:(255-Fe.coordsIndex.length)/255,u_texture:0,u_ele_delta:Fe.getMeshFrameDelta(le.transform.zoom)};ve.draw(Ze,ut.TRIANGLES,Jt,Ko.disabled,Mt,Pa.backCCW,ze,Ie,\"terrain\",$t.vertexBuffer,$t.indexBuffer,$t.segments),Fe.coordsIndex.push(xe.tileID.key)}Ze.bindFramebuffer.set(null),Ze.viewport.set([0,0,le.width,le.height])})(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(le,Fe,Ze,ut,Mt){if(le.renderPass!==\"translucent\")return;let Jt=Ko.disabled,$t=le.colorModeForRenderPass();(Ze._unevaluatedLayout.hasValue(\"text-variable-anchor\")||Ze._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&(function(yr,Cr,ve,xe,Ie,ze,Qe,Xe,nt){let qt=Cr.transform,Wt=yn(),nr=Ie===\"map\",fr=ze===\"map\";for(let br of yr){let Fr=xe.getTile(br),Hr=Fr.getBucket(ve);if(!Hr||!Hr.text||!Hr.text.segments.get().length)continue;let ri=a.ag(Hr.textSizeData,qt.zoom),Ci=Fn(Fr,1,Cr.transform.zoom),cn=qr(br.posMatrix,fr,nr,Cr.transform,Ci),sn=ve.layout.get(\"icon-text-fit\")!==\"none\"&&Hr.hasIconData();if(ri){let Ln=Math.pow(2,qt.zoom-Fr.tileID.overscaledZ),Kn=Cr.style.map.terrain?(fa,$a)=>Cr.style.map.terrain.getElevation(br,fa,$a):null,Aa=Wt.translatePosition(qt,Fr,Qe,Xe);yf(Hr,nr,fr,nt,qt,cn,br.posMatrix,Ln,ri,sn,Wt,Aa,br.toUnwrapped(),Kn)}}})(ut,le,Ze,Fe,Ze.layout.get(\"text-rotation-alignment\"),Ze.layout.get(\"text-pitch-alignment\"),Ze.paint.get(\"text-translate\"),Ze.paint.get(\"text-translate-anchor\"),Mt),Ze.paint.get(\"icon-opacity\").constantOr(1)!==0&&Ah(le,Fe,Ze,ut,!1,Ze.paint.get(\"icon-translate\"),Ze.paint.get(\"icon-translate-anchor\"),Ze.layout.get(\"icon-rotation-alignment\"),Ze.layout.get(\"icon-pitch-alignment\"),Ze.layout.get(\"icon-keep-upright\"),Jt,$t),Ze.paint.get(\"text-opacity\").constantOr(1)!==0&&Ah(le,Fe,Ze,ut,!0,Ze.paint.get(\"text-translate\"),Ze.paint.get(\"text-translate-anchor\"),Ze.layout.get(\"text-rotation-alignment\"),Ze.layout.get(\"text-pitch-alignment\"),Ze.layout.get(\"text-keep-upright\"),Jt,$t),Fe.map.showCollisionBoxes&&(Hu(le,Fe,Ze,ut,!0),Hu(le,Fe,Ze,ut,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\")return;let Mt=Ze.paint.get(\"circle-opacity\"),Jt=Ze.paint.get(\"circle-stroke-width\"),$t=Ze.paint.get(\"circle-stroke-opacity\"),yr=!Ze.layout.get(\"circle-sort-key\").isConstant();if(Mt.constantOr(1)===0&&(Jt.constantOr(1)===0||$t.constantOr(1)===0))return;let Cr=le.context,ve=Cr.gl,xe=le.depthModeForSublayer(0,Po.ReadOnly),Ie=Ko.disabled,ze=le.colorModeForRenderPass(),Qe=[];for(let Xe=0;Xe<ut.length;Xe++){let nt=ut[Xe],qt=Fe.getTile(nt),Wt=qt.getBucket(Ze);if(!Wt)continue;let nr=Wt.programConfigurations.get(Ze.id),fr=le.useProgram(\"circle\",nr),br=Wt.layoutVertexBuffer,Fr=Wt.indexBuffer,Hr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(nt),ri={programConfiguration:nr,program:fr,layoutVertexBuffer:br,indexBuffer:Fr,uniformValues:_o(le,nt,qt,Ze),terrainData:Hr};if(yr){let Ci=Wt.segments.get();for(let cn of Ci)Qe.push({segments:new a.a0([cn]),sortKey:cn.sortKey,state:ri})}else Qe.push({segments:Wt.segments,sortKey:0,state:ri})}yr&&Qe.sort(((Xe,nt)=>Xe.sortKey-nt.sortKey));for(let Xe of Qe){let{programConfiguration:nt,program:qt,layoutVertexBuffer:Wt,indexBuffer:nr,uniformValues:fr,terrainData:br}=Xe.state;qt.draw(Cr,ve.TRIANGLES,xe,Ie,ze,Pa.disabled,fr,br,Ze.id,Wt,nr,Xe.segments,Ze.paint,le.transform.zoom,nt)}})(w,B,Q,ee);break;case\"heatmap\":(function(le,Fe,Ze,ut){if(Ze.paint.get(\"heatmap-opacity\")===0)return;let Mt=le.context;if(le.style.map.terrain){for(let Jt of ut){let $t=Fe.getTile(Jt);Fe.hasRenderableParent(Jt)||(le.renderPass===\"offscreen\"?_f(le,$t,Ze,Jt):le.renderPass===\"translucent\"&&Yc(le,Ze,Jt))}Mt.viewport.set([0,0,le.width,le.height])}else le.renderPass===\"offscreen\"?(function(Jt,$t,yr,Cr){let ve=Jt.context,xe=ve.gl,Ie=Ko.disabled,ze=new Os([xe.ONE,xe.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(Qe,Xe,nt){let qt=Qe.gl;Qe.activeTexture.set(qt.TEXTURE1),Qe.viewport.set([0,0,Xe.width/4,Xe.height/4]);let Wt=nt.heatmapFbos.get(a.aU);Wt?(qt.bindTexture(qt.TEXTURE_2D,Wt.colorAttachment.get()),Qe.bindFramebuffer.set(Wt.framebuffer)):(Wt=eh(Qe,Xe.width/4,Xe.height/4),nt.heatmapFbos.set(a.aU,Wt))})(ve,Jt,yr),ve.clear({color:a.aM.transparent});for(let Qe=0;Qe<Cr.length;Qe++){let Xe=Cr[Qe];if($t.hasRenderableParent(Xe))continue;let nt=$t.getTile(Xe),qt=nt.getBucket(yr);if(!qt)continue;let Wt=qt.programConfigurations.get(yr.id),nr=Jt.useProgram(\"heatmap\",Wt),{zoom:fr}=Jt.transform;nr.draw(ve,xe.TRIANGLES,Po.disabled,Ie,ze,Pa.disabled,ko(Xe.posMatrix,nt,fr,yr.paint.get(\"heatmap-intensity\")),null,yr.id,qt.layoutVertexBuffer,qt.indexBuffer,qt.segments,yr.paint,Jt.transform.zoom,Wt)}ve.viewport.set([0,0,Jt.width,Jt.height])})(le,Fe,Ze,ut):le.renderPass===\"translucent\"&&(function(Jt,$t){let yr=Jt.context,Cr=yr.gl;yr.setColorMode(Jt.colorModeForRenderPass());let ve=$t.heatmapFbos.get(a.aU);ve&&(yr.activeTexture.set(Cr.TEXTURE0),Cr.bindTexture(Cr.TEXTURE_2D,ve.colorAttachment.get()),yr.activeTexture.set(Cr.TEXTURE1),th(yr,$t).bind(Cr.LINEAR,Cr.CLAMP_TO_EDGE),Jt.useProgram(\"heatmapTexture\").draw(yr,Cr.TRIANGLES,Po.disabled,Ko.disabled,Jt.colorModeForRenderPass(),Pa.disabled,Ds(Jt,$t,0,1),null,$t.id,Jt.viewportBuffer,Jt.quadTriangleIndexBuffer,Jt.viewportSegments,$t.paint,Jt.transform.zoom))})(le,Ze)})(w,B,Q,ee);break;case\"line\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\")return;let Mt=Ze.paint.get(\"line-opacity\"),Jt=Ze.paint.get(\"line-width\");if(Mt.constantOr(1)===0||Jt.constantOr(1)===0)return;let $t=le.depthModeForSublayer(0,Po.ReadOnly),yr=le.colorModeForRenderPass(),Cr=Ze.paint.get(\"line-dasharray\"),ve=Ze.paint.get(\"line-pattern\"),xe=ve.constantOr(1),Ie=Ze.paint.get(\"line-gradient\"),ze=Ze.getCrossfadeParameters(),Qe=xe?\"linePattern\":Cr?\"lineSDF\":Ie?\"lineGradient\":\"line\",Xe=le.context,nt=Xe.gl,qt=!0;for(let Wt of ut){let nr=Fe.getTile(Wt);if(xe&&!nr.patternsLoaded())continue;let fr=nr.getBucket(Ze);if(!fr)continue;let br=fr.programConfigurations.get(Ze.id),Fr=le.context.program.get(),Hr=le.useProgram(Qe,br),ri=qt||Hr.program!==Fr,Ci=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Wt),cn=ve.constantOr(null);if(cn&&nr.imageAtlas){let Kn=nr.imageAtlas,Aa=Kn.patternPositions[cn.to.toString()],fa=Kn.patternPositions[cn.from.toString()];Aa&&fa&&br.setConstantPatternPositions(Aa,fa)}let sn=Ci?Wt:null,Ln=xe?Fl(le,nr,Ze,ze,sn):Cr?us(le,nr,Ze,Cr,ze,sn):Ie?ul(le,nr,Ze,fr.lineClipsArray.length,sn):ll(le,nr,Ze,sn);if(xe)Xe.activeTexture.set(nt.TEXTURE0),nr.imageAtlasTexture.bind(nt.LINEAR,nt.CLAMP_TO_EDGE),br.updatePaintBuffers(ze);else if(Cr&&(ri||le.lineAtlas.dirty))Xe.activeTexture.set(nt.TEXTURE0),le.lineAtlas.bind(Xe);else if(Ie){let Kn=fr.gradients[Ze.id],Aa=Kn.texture;if(Ze.gradientVersion!==Kn.version){let fa=256;if(Ze.stepInterpolant){let $a=Fe.getSource().maxzoom,Co=Wt.canonical.z===$a?Math.ceil(1<<le.transform.maxZoom-Wt.canonical.z):1;fa=a.ac(a.aV(fr.maxLineLength/a.X*1024*Co),256,Xe.maxTextureSize)}Kn.gradient=a.aW({expression:Ze.gradientExpression(),evaluationKey:\"lineProgress\",resolution:fa,image:Kn.gradient||void 0,clips:fr.lineClipsArray}),Kn.texture?Kn.texture.update(Kn.gradient):Kn.texture=new g(Xe,Kn.gradient,nt.RGBA),Kn.version=Ze.gradientVersion,Aa=Kn.texture}Xe.activeTexture.set(nt.TEXTURE0),Aa.bind(Ze.stepInterpolant?nt.NEAREST:nt.LINEAR,nt.CLAMP_TO_EDGE)}Hr.draw(Xe,nt.TRIANGLES,$t,le.stencilModeForClipping(Wt),yr,Pa.disabled,Ln,Ci,Ze.id,fr.layoutVertexBuffer,fr.indexBuffer,fr.segments,Ze.paint,le.transform.zoom,br,fr.layoutVertexBuffer2),qt=!1}})(w,B,Q,ee);break;case\"fill\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"fill-color\"),Jt=Ze.paint.get(\"fill-opacity\");if(Jt.constantOr(1)===0)return;let $t=le.colorModeForRenderPass(),yr=Ze.paint.get(\"fill-pattern\"),Cr=le.opaquePassEnabledForLayer()&&!yr.constantOr(1)&&Mt.constantOr(a.aM.transparent).a===1&&Jt.constantOr(0)===1?\"opaque\":\"translucent\";if(le.renderPass===Cr){let ve=le.depthModeForSublayer(1,le.renderPass===\"opaque\"?Po.ReadWrite:Po.ReadOnly);jf(le,Fe,Ze,ut,ve,$t,!1)}if(le.renderPass===\"translucent\"&&Ze.paint.get(\"fill-antialias\")){let ve=le.depthModeForSublayer(Ze.getPaintProperty(\"fill-outline-color\")?2:0,Po.ReadOnly);jf(le,Fe,Ze,ut,ve,$t,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"fill-extrusion-opacity\");if(Mt!==0&&le.renderPass===\"translucent\"){let Jt=new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D);if(Mt!==1||Ze.paint.get(\"fill-extrusion-pattern\").constantOr(1))cc(le,Fe,Ze,ut,Jt,Ko.disabled,Os.disabled),cc(le,Fe,Ze,ut,Jt,le.stencilModeFor3D(),le.colorModeForRenderPass());else{let $t=le.colorModeForRenderPass();cc(le,Fe,Ze,ut,Jt,Ko.disabled,$t)}}})(w,B,Q,ee);break;case\"hillshade\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"offscreen\"&&le.renderPass!==\"translucent\")return;let Mt=le.context,Jt=le.depthModeForSublayer(0,Po.ReadOnly),$t=le.colorModeForRenderPass(),[yr,Cr]=le.renderPass===\"translucent\"?le.stencilConfigForOverlap(ut):[{},ut];for(let ve of Cr){let xe=Fe.getTile(ve);xe.needsHillshadePrepare!==void 0&&xe.needsHillshadePrepare&&le.renderPass===\"offscreen\"?Bl(le,xe,Ze,Jt,Ko.disabled,$t):le.renderPass===\"translucent\"&&sf(le,ve,xe,Ze,Jt,yr[ve.overscaledZ],$t)}Mt.viewport.set([0,0,le.width,le.height])})(w,B,Q,ee);break;case\"raster\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\"||Ze.paint.get(\"raster-opacity\")===0||!ut.length)return;let Mt=le.context,Jt=Mt.gl,$t=Fe.getSource(),yr=le.useProgram(\"raster\"),Cr=le.colorModeForRenderPass(),[ve,xe]=$t instanceof ar?[{},ut]:le.stencilConfigForOverlap(ut),Ie=xe[xe.length-1].overscaledZ,ze=!le.options.moving;for(let Qe of xe){let Xe=le.depthModeForSublayer(Qe.overscaledZ-Ie,Ze.paint.get(\"raster-opacity\")===1?Po.ReadWrite:Po.ReadOnly,Jt.LESS),nt=Fe.getTile(Qe);nt.registerFadeDuration(Ze.paint.get(\"raster-fade-duration\"));let qt=Fe.findLoadedParent(Qe,0),Wt=Fe.findLoadedSibling(Qe),nr=Kc(nt,qt||Wt||null,Fe,Ze,le.transform,le.style.map.terrain),fr,br,Fr=Ze.paint.get(\"raster-resampling\")===\"nearest\"?Jt.NEAREST:Jt.LINEAR;Mt.activeTexture.set(Jt.TEXTURE0),nt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),Mt.activeTexture.set(Jt.TEXTURE1),qt?(qt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),fr=Math.pow(2,qt.tileID.overscaledZ-nt.tileID.overscaledZ),br=[nt.tileID.canonical.x*fr%1,nt.tileID.canonical.y*fr%1]):nt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),nt.texture.useMipmap&&Mt.extTextureFilterAnisotropic&&le.transform.pitch>20&&Jt.texParameterf(Jt.TEXTURE_2D,Mt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,Mt.extTextureFilterAnisotropicMax);let Hr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Qe),ri=Hr?Qe:null,Ci=ri?ri.posMatrix:le.transform.calculatePosMatrix(Qe.toUnwrapped(),ze),cn=cl(Ci,br||[0,0],fr||1,nr,Ze);$t instanceof ar?yr.draw(Mt,Jt.TRIANGLES,Xe,Ko.disabled,Cr,Pa.disabled,cn,Hr,Ze.id,$t.boundsBuffer,le.quadTriangleIndexBuffer,$t.boundsSegments):yr.draw(Mt,Jt.TRIANGLES,Xe,ve[Qe.overscaledZ],Cr,Pa.disabled,cn,Hr,Ze.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"background-color\"),Jt=Ze.paint.get(\"background-opacity\");if(Jt===0)return;let $t=le.context,yr=$t.gl,Cr=le.transform,ve=Cr.tileSize,xe=Ze.paint.get(\"background-pattern\");if(le.isPatternMissing(xe))return;let Ie=!xe&&Mt.a===1&&Jt===1&&le.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(le.renderPass!==Ie)return;let ze=Ko.disabled,Qe=le.depthModeForSublayer(0,Ie===\"opaque\"?Po.ReadWrite:Po.ReadOnly),Xe=le.colorModeForRenderPass(),nt=le.useProgram(xe?\"backgroundPattern\":\"background\"),qt=ut||Cr.coveringTiles({tileSize:ve,terrain:le.style.map.terrain});xe&&($t.activeTexture.set(yr.TEXTURE0),le.imageManager.bind(le.context));let Wt=Ze.getCrossfadeParameters();for(let nr of qt){let fr=ut?nr.posMatrix:le.transform.calculatePosMatrix(nr.toUnwrapped()),br=xe?Su(fr,Jt,le,xe,{tileID:nr,tileSize:ve},Wt):Yl(fr,Jt,Mt),Fr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(nr);nt.draw($t,yr.TRIANGLES,Qe,ze,Xe,Pa.disabled,br,Fr,Ze.id,le.tileExtentBuffer,le.quadTriangleIndexBuffer,le.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(le,Fe,Ze){let ut=le.context,Mt=Ze.implementation;if(le.renderPass===\"offscreen\"){let Jt=Mt.prerender;Jt&&(le.setCustomLayerDefaults(),ut.setColorMode(le.colorModeForRenderPass()),Jt.call(Mt,ut.gl,le.transform.customLayerMatrix()),ut.setDirty(),le.setBaseState())}else if(le.renderPass===\"translucent\"){le.setCustomLayerDefaults(),ut.setColorMode(le.colorModeForRenderPass()),ut.setStencilMode(Ko.disabled);let Jt=Mt.renderingMode===\"3d\"?new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D):le.depthModeForSublayer(0,Po.ReadOnly);ut.setDepthMode(Jt),Mt.render(ut.gl,le.transform.customLayerMatrix(),{farZ:le.transform.farZ,nearZ:le.transform.nearZ,fov:le.transform._fov,modelViewProjectionMatrix:le.transform.modelViewProjectionMatrix,projectionMatrix:le.transform.projectionMatrix}),ut.setDirty(),le.setBaseState(),ut.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,le){if(!Q[0]&&!Q[1])return w;let Fe=le?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(Fe){let Mt=Math.sin(Fe),Jt=Math.cos(Fe);Q=[Q[0]*Jt-Q[1]*Mt,Q[0]*Mt+Q[1]*Jt]}let Ze=[le?Q[0]:Fn(B,Q[0],this.transform.zoom),le?Q[1]:Fn(B,Q[1],this.transform.zoom),0],ut=new Float32Array(16);return a.J(ut,w,Ze),ut}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new hn(this.context,Gn[w],B,nc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new g(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class ks{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),le=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((Ze=>{let ut=1/(Ze=a.af([],Ze,w))[3]/B*ee;return a.b1(Ze,Ze,[ut,ut,1/Ze[3],ut])})),Fe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((Ze=>{let ut=(function(yr,Cr){var ve=Cr[0],xe=Cr[1],Ie=Cr[2],ze=ve*ve+xe*xe+Ie*Ie;return ze>0&&(ze=1/Math.sqrt(ze)),yr[0]=Cr[0]*ze,yr[1]=Cr[1]*ze,yr[2]=Cr[2]*ze,yr})([],(function(yr,Cr,ve){var xe=Cr[0],Ie=Cr[1],ze=Cr[2],Qe=ve[0],Xe=ve[1],nt=ve[2];return yr[0]=Ie*nt-ze*Xe,yr[1]=ze*Qe-xe*nt,yr[2]=xe*Xe-Ie*Qe,yr})([],L([],le[Ze[0]],le[Ze[1]]),L([],le[Ze[2]],le[Ze[1]]))),Mt=-((Jt=ut)[0]*($t=le[Ze[1]])[0]+Jt[1]*$t[1]+Jt[2]*$t[2]);var Jt,$t;return ut.concat(Mt)}));return new ks(le,Fe)}}class bc{constructor(w,B){this.min=w,this.max=B,this.center=(function(Q,ee,le){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q})([],(function(Q,ee,le){return Q[0]=ee[0]+le[0],Q[1]=ee[1]+le[1],Q[2]=ee[2]+le[2],Q})([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=M(this.min),ee=M(this.max);for(let le=0;le<B.length;le++)Q[le]=B[le]?this.min[le]:this.center[le],ee[le]=B[le]?this.center[le]:this.max[le];return ee[2]=this.max[2],new bc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let le=w.planes[ee],Fe=0;for(let Ze=0;Ze<B.length;Ze++)a.b2(le,B[Ze])>=0&&Fe++;if(Fe===0)return 0;Fe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let le=Number.MAX_VALUE,Fe=-Number.MAX_VALUE;for(let Ze=0;Ze<w.points.length;Ze++){let ut=w.points[Ze][ee]-this.min[ee];le=Math.min(le,ut),Fe=Math.max(Fe,ut)}if(Fe<0||le>this.max[ee]-this.min[ee])return 0}return 1}}class hu{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new hu(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let _u=85.051129;class il{constructor(w,B,Q,ee,le){this.tileSize=512,this._renderWorldCopies=le===void 0||!!le,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new hu,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new il(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=(function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q})(),(function(Q,ee,le){var Fe=ee[0],Ze=ee[1],ut=ee[2],Mt=ee[3],Jt=Math.sin(le),$t=Math.cos(le);Q[0]=Fe*$t+ut*Jt,Q[1]=Ze*$t+Mt*Jt,Q[2]=Fe*-Jt+ut*$t,Q[3]=Ze*-Jt+Mt*$t})(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),le=this.pointCoordinate(new a.P(this.width,this.height)),Fe=this.pointCoordinate(new a.P(0,this.height)),Ze=Math.floor(Math.min(Q.x,ee.x,le.x,Fe.x)),ut=Math.floor(Math.max(Q.x,ee.x,le.x,Fe.x)),Mt=1;for(let Jt=Ze-Mt;Jt<=ut+Mt;Jt++)Jt!==0&&B.push(new a.b4(Jt,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),le=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let Fe=this.pointCoordinate(this.getCameraPoint()),Ze=a.Z.fromLngLat(this.center),ut=Math.pow(2,ee),Mt=[ut*Fe.x,ut*Fe.y,0],Jt=[ut*Ze.x,ut*Ze.y,0],$t=ks.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),yr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(yr=ee);let Cr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,ve=Xe=>({aabb:new bc([Xe*ut,0,0],[(Xe+1)*ut,ut,0]),zoom:0,x:0,y:0,wrap:Xe,fullyVisible:!1}),xe=[],Ie=[],ze=ee,Qe=w.reparseOverscaled?le:ee;if(this._renderWorldCopies)for(let Xe=1;Xe<=3;Xe++)xe.push(ve(-Xe)),xe.push(ve(Xe));for(xe.push(ve(0));xe.length>0;){let Xe=xe.pop(),nt=Xe.x,qt=Xe.y,Wt=Xe.fullyVisible;if(!Wt){let Hr=Xe.aabb.intersects($t);if(Hr===0)continue;Wt=Hr===2}let nr=w.terrain?Mt:Jt,fr=Xe.aabb.distanceX(nr),br=Xe.aabb.distanceY(nr),Fr=Math.max(Math.abs(fr),Math.abs(br));if(Xe.zoom===ze||Fr>Cr+(1<<ze-Xe.zoom)-2&&Xe.zoom>=yr){let Hr=ze-Xe.zoom,ri=Mt[0]-.5-(nt<<Hr),Ci=Mt[1]-.5-(qt<<Hr);Ie.push({tileID:new a.S(Xe.zoom===ze?Qe:Xe.zoom,Xe.wrap,Xe.zoom,nt,qt),distanceSq:x([Jt[0]-.5-nt,Jt[1]-.5-qt]),tileDistanceToCamera:Math.sqrt(ri*ri+Ci*Ci)})}else for(let Hr=0;Hr<4;Hr++){let ri=(nt<<1)+Hr%2,Ci=(qt<<1)+(Hr>>1),cn=Xe.zoom+1,sn=Xe.aabb.quadrant(Hr);if(w.terrain){let Ln=new a.S(cn,Xe.wrap,cn,ri,Ci),Kn=w.terrain.getMinMaxElevation(Ln),Aa=(B=Kn.minElevation)!==null&&B!==void 0?B:this.elevation,fa=(Q=Kn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;sn=new bc([sn.min[0],sn.min[1],Aa],[sn.max[0],sn.max[1],fa])}xe.push({aabb:sn,zoom:cn,x:ri,y:Ci,wrap:Xe.wrap,fullyVisible:Wt})}}return Ie.sort(((Xe,nt)=>Xe.distanceSq-nt.distanceSq)).map((Xe=>Xe.tileID))}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,_u);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),le=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-le))return;let Fe=Q+B-le,Ze=Math.cos(this._pitch)*this.cameraToCenterDistance/Fe/a.b5(1,ee.lat),ut=this.scaleZoom(Ze/this.tileSize);this._elevation=le,this._center=ee,this.zoom=ut}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),le=this.locationCoordinate(w),Fe=new a.Z(le.x-(Q.x-ee.x),le.y-(Q.y-ee.y));this.center=this.coordinateLocation(Fe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let yr=B.pointCoordinate(w);if(yr!=null)return yr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let le=Q[3],Fe=ee[3],Ze=Q[1]/le,ut=ee[1]/Fe,Mt=Q[2]/le,Jt=ee[2]/Fe,$t=Mt===Jt?0:(0-Mt)/(Jt-Mt);return new a.Z(a.y.number(Q[0]/le,ee[0]/Fe,$t)/this.worldSize,a.y.number(Ze,ut,$t)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,_u])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,le=a.an(new Float64Array(16));return a.J(le,le,[ee*Q,B.y*Q,0]),a.K(le,le,[Q/a.X,Q/a.X,1]),le}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let le=this.calculateTileMatrix(w);return a.L(le,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,le),ee[Q]=new Float32Array(le),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let Xe=179.9999999999;ee=[-Xe,Xe]}let le=this.tileSize*this.zoomScale(Q.zoom),Fe=0,Ze=le,ut=0,Mt=le,Jt=0,$t=0,{x:yr,y:Cr}=this.size;if(this.latRange){let Xe=this.latRange;Fe=a.Q(Xe[1])*le,Ze=a.Q(Xe[0])*le,Ze-Fe<Cr&&(Jt=Cr/(Ze-Fe))}ee&&(ut=a.b3(a.O(ee[0])*le,0,le),Mt=a.b3(a.O(ee[1])*le,0,le),Mt<ut&&(Mt+=le),Mt-ut<yr&&($t=yr/(Mt-ut)));let{x:ve,y:xe}=this.project.call({worldSize:le},w),Ie,ze,Qe=Math.max($t||0,Jt||0);if(Qe){let Xe=new a.P($t?(Mt+ut)/2:ve,Jt?(Ze+Fe)/2:xe);return Q.center=this.unproject.call({worldSize:le},Xe).wrap(),Q.zoom+=this.scaleZoom(Qe),Q}if(this.latRange){let Xe=Cr/2;xe-Xe<Fe&&(ze=Fe+Xe),xe+Xe>Ze&&(ze=Ze-Xe)}if(ee){let Xe=(ut+Mt)/2,nt=ve;this._renderWorldCopies&&(nt=a.b3(ve,Xe-le/2,Xe+le/2));let qt=yr/2;nt-qt<ut&&(Ie=ut+qt),nt+qt>Mt&&(Ie=Mt-qt)}if(Ie!==void 0||ze!==void 0){let Xe=new a.P(Ie!=null?Ie:ve,ze!=null?ze:xe);Q.center=this.unproject.call({worldSize:le},Xe).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let le=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),Fe=Math.min(this.elevation,this.minElevationForCurrentTile),Ze=le-Fe*this._pixelPerMeter/Math.cos(this._pitch),ut=Fe<0?Ze:le,Mt=Math.PI/2+this._pitch,Jt=this._fov*(.5+w.y/this.height),$t=Math.sin(Jt)*ut/Math.sin(a.ac(Math.PI-Mt-Jt,.01,Math.PI-.01)),yr=this.getHorizon(),Cr=2*Math.atan(yr/this.cameraToCenterDistance)*(.5+w.y/(2*yr)),ve=Math.sin(Cr)*ut/Math.sin(a.ac(Math.PI-Mt-Cr,.01,Math.PI-.01)),xe=Math.min($t,ve);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*xe+ut),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,le,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Ie=this.width%2/2,ze=this.height%2/2,Qe=Math.cos(this.angle),Xe=Math.sin(this.angle),nt=B-Math.round(B)+Qe*Ie+Xe*ze,qt=Q-Math.round(Q)+Qe*ze+Xe*Ie,Wt=new Float64Array(ee);if(a.J(Wt,Wt,[nt>.5?nt-1:nt,qt>.5?qt-1:qt,0]),this.alignedModelViewProjectionMatrix=Wt,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,le=B.x,Fe=B.y;for(let Ze of w)Q=Math.min(Q,Ze.x),ee=Math.min(ee,Ze.y),le=Math.max(le,Ze.x),Fe=Math.max(Fe,Ze.y);return[new a.P(Q,ee),new a.P(le,ee),new a.P(le,Fe),new a.P(Q,Fe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function nh(ue,w){let B,Q=!1,ee=null,le=null,Fe=()=>{ee=null,Q&&(ue.apply(le,B),ee=setTimeout(Fe,w),Q=!1)};return(...Ze)=>(Q=!0,le=this,B=Ze,ee||Fe(),ee)}class Mh{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map((ee=>ee.split(\"=\"))).forEach((ee=>{ee[0]===this._hashName&&(Q=ee)})),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some((Q=>isNaN(Q)))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let le=window.location.hash.replace(ee,\"\");le.startsWith(\"#&\")?le=le.slice(0,1)+le.slice(2):le===\"#\"&&(le=\"\");let Fe=window.location.href.replace(/(#.+)?$/,le);Fe=Fe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,Fe)},this._updateHash=nh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),le=Math.pow(10,ee),Fe=Math.round(B.lng*le)/le,Ze=Math.round(B.lat*le)/le,ut=this._map.getBearing(),Mt=this._map.getPitch(),Jt=\"\";if(Jt+=w?`/${Fe}/${Ze}/${Q}`:`${Q}/${Ze}/${Fe}`,(ut||Mt)&&(Jt+=\"/\"+Math.round(10*ut)/10),Mt&&(Jt+=`/${Math.round(Mt)}`),this._hashName){let $t=this._hashName,yr=!1,Cr=window.location.hash.slice(1).split(\"&\").map((ve=>{let xe=ve.split(\"=\")[0];return xe===$t?(yr=!0,`${xe}=${Jt}`):ve})).filter((ve=>ve));return yr||Cr.push(`${$t}=${Jt}`),`#${Cr.join(\"&\")}`}return`#${Jt}`}}let zu={linearity:.3,easing:a.b8(0,0,.3,1)},Fc=a.e({deceleration:2500,maxSpeed:1400},zu),wc=a.e({deceleration:20,maxSpeed:1400},zu),bd=a.e({deceleration:1e3,maxSpeed:360},zu),xf=a.e({deceleration:1e3,maxSpeed:90},zu);class Pf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:le}of this._inertiaBuffer)B.zoom+=le.zoomDelta||0,B.bearing+=le.bearingDelta||0,B.pitch+=le.pitchDelta||0,le.panDelta&&B.pan._add(le.panDelta),le.around&&(B.around=le.around),le.pinchAround&&(B.pinchAround=le.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let le=bf(B.pan.mag(),Q,a.e({},Fc,w||{}));ee.offset=B.pan.mult(le.amount/B.pan.mag()),ee.center=this._map.transform.center,qu(ee,le)}if(B.zoom){let le=bf(B.zoom,Q,wc);ee.zoom=this._map.transform.zoom+le.amount,qu(ee,le)}if(B.bearing){let le=bf(B.bearing,Q,bd);ee.bearing=this._map.transform.bearing+a.ac(le.amount,-179,179),qu(ee,le)}if(B.pitch){let le=bf(B.pitch,Q,xf);ee.pitch=this._map.transform.pitch+le.amount,qu(ee,le)}if(ee.zoom||ee.bearing){let le=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=le?this._map.unproject(le):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function qu(ue,w){(!ue.duration||ue.duration<w.duration)&&(ue.duration=w.duration,ue.easing=w.easing)}function bf(ue,w,B){let{maxSpeed:Q,linearity:ee,deceleration:le}=B,Fe=a.ac(ue*ee/(w/1e3),-Q,Q),Ze=Math.abs(Fe)/(le*ee);return{easing:B.easing,duration:1e3*Ze,amount:Fe*(Ze/2)}}class jl extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let le=c.mousePos(B.getCanvas(),Q),Fe=B.unproject(le);super(w,a.e({point:le,lngLat:Fe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class uf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,le=c.touchPos(B.getCanvasContainer(),ee),Fe=le.map((ut=>B.unproject(ut))),Ze=le.reduce(((ut,Mt,Jt,$t)=>ut.add(Mt.div($t.length))),new a.P(0,0));super(w,{points:le,point:Ze,lngLats:Fe,lngLat:B.unproject(Ze),originalEvent:Q}),this._defaultPrevented=!1}}class Xh extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class If{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new Xh(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new jl(w.type,this._map,w))}mouseup(w){this._map.fire(new jl(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new jl(w.type,this._map,w))}dblclick(w){return this._firePreventable(new jl(w.type,this._map,w))}mouseover(w){this._map.fire(new jl(w.type,this._map,w))}mouseout(w){this._map.fire(new jl(w.type,this._map,w))}touchstart(w){return this._firePreventable(new uf(w.type,this._map,w))}touchmove(w){this._map.fire(new uf(w.type,this._map,w))}touchend(w){this._map.fire(new uf(w.type,this._map,w))}touchcancel(w){this._map.fire(new uf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Cs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new jl(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new jl(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new jl(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class du{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class ku{constructor(w,B){this._map=w,this._tr=new du(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let le=Math.min(ee.x,Q.x),Fe=Math.max(ee.x,Q.x),Ze=Math.min(ee.y,Q.y),ut=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${le}px,${Ze}px)`),this._box.style.width=Fe-le+\"px\",this._box.style.height=ut-Ze+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:le=>le.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Xf(ue,w){if(ue.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${ue.length}, points ${w.length}`);let B={};for(let Q=0;Q<ue.length;Q++)B[ue[Q].identifier]=w[Q];return B}class Us{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=(function(ee){let le=new a.P(0,0);for(let Fe of ee)le._add(Fe);return le.div(ee.length)})(B),this.touches=Xf(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Xf(Q,B);for(let le in this.touches){let Fe=ee[le];(!Fe||Fe.dist(this.touches[le])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class wf{constructor(w){this.singleTap=new Us(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let le=w.timeStamp-this.lastTime<500,Fe=!this.lastTap||this.lastTap.dist(ee)<30;if(le&&Fe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class zc{constructor(w){this._tr=new du(w),this._zoomIn=new wf({numTouches:1,numTaps:2}),this._zoomOut=new wf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),le=this._zoomOut.touchend(w,B,Q),Fe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:Ze=>Ze.easeTo({duration:300,zoom:Fe.zoom+1,around:Fe.unproject(ee)},{originalEvent:w})}):le?(this._active=!0,w.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:Ze=>Ze.easeTo({duration:300,zoom:Fe.zoom-1,around:Fe.unproject(le)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Wu{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let Rf={0:1,2:2};class Xu{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!(function(B,Q){let ee=Rf[Q];return B.buttons===void 0||(B.buttons&ee)!==ee})(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class cf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Zf=ue=>{ue.mousedown=ue.dragStart,ue.mousemoveWindow=ue.dragMove,ue.mouseup=ue.dragEnd,ue.contextmenu=w=>{w.preventDefault()}},Wl=({enable:ue,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({bearingDelta:(le.x-ee.x)*B}),moveStateManager:Q,enable:ue,assignEvents:Zf})},ah=({enable:ue,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({pitchDelta:(le.y-ee.y)*B}),moveStateManager:Q,enable:ue,assignEvents:Zf})};class Zu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Xf(Q,B),le=new a.P(0,0),Fe=new a.P(0,0),Ze=0;for(let Mt in ee){let Jt=ee[Mt],$t=this._touches[Mt];$t&&(le._add(Jt),Fe._add(Jt.sub($t)),Ze++,ee[Mt]=Jt)}if(this._touches=ee,this._shouldBePrevented(Ze)||!Fe.mag())return;let ut=Fe.div(Ze);return this._sum._add(ut),this._sum.mag()<this._clickTolerance?void 0:{around:le.div(Ze),panDelta:ut}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class qc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,le]=this._firstTwoTouches,Fe=Tc(Q,B,ee),Ze=Tc(Q,B,le);if(!Fe||!Ze)return;let ut=this._aroundCenter?null:Fe.add(Ze).div(2);return this._move([Fe,Ze],ut,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,le]=this._firstTwoTouches,Fe=Tc(Q,B,ee),Ze=Tc(Q,B,le);Fe&&Ze||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function Tc(ue,w,B){for(let Q=0;Q<ue.length;Q++)if(ue[Q].identifier===B)return w[Q]}function Tl(ue,w){return Math.log(ue/w)/Math.LN2}class vu extends qc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(Tl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Tl(this._distance,Q),pinchAround:B}}}function Oc(ue,w){return 180*ue.angleWith(w)/Math.PI}class ff extends qc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Oc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=Oc(w,this._startVector);return Math.abs(Q)<B}}function fc(ue){return Math.abs(ue.y)>Math.abs(ue.x)}class Bc extends qc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,fc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),le=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,le,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+le.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,le=B.mag()>=2;if(!ee&&!le)return;if(!ee||!le)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let Fe=w.y>0==B.y>0;return fc(w)&&fc(B)&&Fe}}let kt={panStep:100,bearingStep:15,pitchStep:10};class Zt{constructor(w){this._tr=new du(w);let B=kt;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,le=0,Fe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),le=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),le=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),Fe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),Fe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:Ze=>{let ut=this._tr;Ze.easeTo({duration:300,easeId:\"keyboardHandler\",easing:Er,zoom:B?Math.round(ut.zoom)+B*(w.shiftKey?2:1):ut.zoom,bearing:ut.bearing+Q*this._bearingStep,pitch:ut.pitch+ee*this._pitchStep,offset:[-le*this._panStep,-Fe*this._panStep],center:ut.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function Er(ue){return ue*(2-ue)}let xr=4.000244140625;class Kr{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new du(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%xr==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let ut=this._type===\"wheel\"&&Math.abs(this._delta)>xr?this._wheelZoomRate:this._defaultZoomRate,Mt=2/(1+Math.exp(-Math.abs(this._delta*ut)));this._delta<0&&Mt!==0&&(Mt=1/Mt);let Jt=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Jt*Mt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,le,Fe=!1,Ze=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&Ze){let ut=Math.min(Ze/200,1),Mt=ee(ut);le=a.y.number(Q,B,Mt),ut<1?this._frameId||(this._frameId=!0):Fe=!0}else le=B,Fe=!0;return this._active=!0,Fe&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!Fe,zoomDelta:le-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,le=Q.easing(ee+.01)-Q.easing(ee),Fe=.27/Math.sqrt(le*le+1e-4)*.01,Ze=Math.sqrt(.0729-Fe*Fe);B=a.b8(Fe,Ze,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class Mi{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class Xi{constructor(w){this._tr=new du(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class dn{constructor(){this._tap=new wf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],le=w.timeStamp-this._tapTime<500,Fe=this._tapPoint.dist(ee)<30;le&&Fe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],le=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:le/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class wn{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class On{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Yi{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class $i{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let le=document.createElement(\"div\");le.className=\"maplibregl-mobile-message\",le.textContent=Q,this._container.appendChild(le),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}let an=ue=>ue.zoom||ue.drag||ue.pitch||ue.rotate;class Fi extends a.k{}function ta(ue){return ue.panDelta&&ue.panDelta.mag()||ue.zoomDelta||ue.bearingDelta||ue.pitchDelta}class Ca{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,le)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let Fe=ee.type===\"renderFrame\"?void 0:ee,Ze={needsRenderFrame:!1},ut={},Mt={},Jt=ee.touches,$t=Jt?this._getMapTouches(Jt):void 0,yr=$t?c.touchPos(this._map.getCanvas(),$t):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:xe,handler:Ie,allowed:ze}of this._handlers){if(!Ie.isEnabled())continue;let Qe;this._blockedByActive(Mt,ze,xe)?Ie.reset():Ie[le||ee.type]&&(Qe=Ie[le||ee.type](ee,yr,$t),this.mergeHandlerResult(Ze,ut,Qe,xe,Fe),Qe&&Qe.needsRenderFrame&&this._triggerRenderFrame()),(Qe||Ie.isActive())&&(Mt[xe]=Ie)}let Cr={};for(let xe in this._previousActiveHandlers)Mt[xe]||(Cr[xe]=Fe);this._previousActiveHandlers=Mt,(Object.keys(Cr).length||ta(Ze))&&(this._changes.push([Ze,ut,Cr]),this._triggerRenderFrame()),(Object.keys(Mt).length||ta(Ze))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:ve}=Ze;ve&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],ve(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Pf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,le,Fe]of this._listeners)c.addEventListener(ee,le,ee===document?this.handleWindowEvent:this.handleEvent,Fe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new If(B,w));let ee=B.boxZoom=new ku(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let le=B.cooperativeGestures=new $i(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",le),w.cooperativeGestures&&le.enable();let Fe=new zc(B),Ze=new Xi(B);B.doubleClickZoom=new Mi(Ze,Fe),this._add(\"tapZoom\",Fe),this._add(\"clickZoom\",Ze),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let ut=new dn;this._add(\"tapDragZoom\",ut);let Mt=B.touchPitch=new Bc(B);this._add(\"touchPitch\",Mt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Jt=Wl(w),$t=ah(w);B.dragRotate=new On(w,Jt,$t),this._add(\"mouseRotate\",Jt,[\"mousePitch\"]),this._add(\"mousePitch\",$t,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let yr=(({enable:Qe,clickTolerance:Xe})=>{let nt=new Xu({checkCorrectEvent:qt=>c.mouseButton(qt)===0&&!qt.ctrlKey});return new Wu({clickTolerance:Xe,move:(qt,Wt)=>({around:Wt,panDelta:Wt.sub(qt)}),activateOnStart:!0,moveStateManager:nt,enable:Qe,assignEvents:Zf})})(w),Cr=new Zu(w,B);B.dragPan=new wn(Q,yr,Cr),this._add(\"mousePan\",yr),this._add(\"touchPan\",Cr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let ve=new ff,xe=new vu;B.touchZoomRotate=new Yi(Q,xe,ve,ut),this._add(\"touchRotate\",ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",xe,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Ie=B.scrollZoom=new Kr(B,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",Ie,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let ze=B.keyboard=new Zt(B);this._add(\"keyboard\",ze),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Cs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!an(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,le){if(!Q)return;a.e(w,Q);let Fe={handlerName:ee,originalEvent:Q.originalEvent||le};Q.zoomDelta!==void 0&&(B.zoom=Fe),Q.panDelta!==void 0&&(B.drag=Fe),Q.pitchDelta!==void 0&&(B.pitch=Fe),Q.bearingDelta!==void 0&&(B.rotate=Fe)}_applyChanges(){let w={},B={},Q={};for(let[ee,le,Fe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,le),a.e(Q,Fe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,le=ee._getTransformForUpdate(),Fe=ee.terrain;if(!(ta(w)||Fe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:Ze,zoomDelta:ut,bearingDelta:Mt,pitchDelta:Jt,around:$t,pinchAround:yr}=w;yr!==void 0&&($t=yr),ee._stop(!0),$t=$t||ee.transform.centerPoint;let Cr=le.pointLocation(Ze?$t.sub(Ze):$t);Mt&&(le.bearing+=Mt),Jt&&(le.pitch+=Jt),ut&&(le.zoom+=ut),Fe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?le.center=le.pointLocation(le.centerPoint.sub(Ze)):le.setLocationAtPoint(Cr,$t):(this._terrainMovement=!0,this._map._elevationFreeze=!0,le.setLocationAtPoint(Cr,$t)):le.setLocationAtPoint(Cr,$t),ee._applyUpdatedTransform(le),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=an(this._eventsInProgress),le=an(w),Fe={};for(let $t in w){let{originalEvent:yr}=w[$t];this._eventsInProgress[$t]||(Fe[`${$t}start`]=yr),this._eventsInProgress[$t]=w[$t]}!ee&&le&&this._fireEvent(\"movestart\",le.originalEvent);for(let $t in Fe)this._fireEvent($t,Fe[$t]);le&&this._fireEvent(\"move\",le.originalEvent);for(let $t in w){let{originalEvent:yr}=w[$t];this._fireEvent($t,yr)}let Ze={},ut;for(let $t in this._eventsInProgress){let{handlerName:yr,originalEvent:Cr}=this._eventsInProgress[$t];this._handlersById[yr].isActive()||(delete this._eventsInProgress[$t],ut=B[yr]||Cr,Ze[`${$t}end`]=ut)}for(let $t in Ze)this._fireEvent($t,Ze[$t]);let Mt=an(this._eventsInProgress),Jt=(ee||le)&&!Mt;if(Jt&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let $t=this._map._getTransformForUpdate();$t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform($t)}if(Q&&Jt){this._updatingCamera=!0;let $t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),yr=Cr=>Cr!==0&&-this._bearingSnap<Cr&&Cr<this._bearingSnap;!$t||!$t.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:ut})),yr(this._map.getBearing())&&this._map.resetNorth()):(yr($t.bearing||this._map.getBearing())&&($t.bearing=0),$t.freezeElevation=!0,this._map.easeTo($t,{originalEvent:ut})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((w=>{delete this._frameId,this.handleEvent(new Fi(\"renderFrame\",{timeStamp:w})),this._applyChanges()}))}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ra extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let le={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:le,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let Hr=ee.padding;ee.padding={top:Hr,bottom:Hr,right:Hr,left:Hr}}ee.padding=a.e(le,ee.padding);let Fe=this.transform,Ze=Fe.padding,ut=new ce(w,B),Mt=Fe.project(ut.getNorthWest()),Jt=Fe.project(ut.getNorthEast()),$t=Fe.project(ut.getSouthEast()),yr=Fe.project(ut.getSouthWest()),Cr=a.ba(-Q),ve=Mt.rotate(Cr),xe=Jt.rotate(Cr),Ie=$t.rotate(Cr),ze=yr.rotate(Cr),Qe=new a.P(Math.max(ve.x,xe.x,ze.x,Ie.x),Math.max(ve.y,xe.y,ze.y,Ie.y)),Xe=new a.P(Math.min(ve.x,xe.x,ze.x,Ie.x),Math.min(ve.y,xe.y,ze.y,Ie.y)),nt=Qe.sub(Xe),qt=(Fe.width-(Ze.left+Ze.right+ee.padding.left+ee.padding.right))/nt.x,Wt=(Fe.height-(Ze.top+Ze.bottom+ee.padding.top+ee.padding.bottom))/nt.y;if(Wt<0||qt<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let nr=Math.min(Fe.scaleZoom(Fe.scale*Math.min(qt,Wt)),ee.maxZoom),fr=a.P.convert(ee.offset),br=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Fr=fr.add(br).mult(Fe.scale/Fe.zoomScale(nr));return{center:Fe.unproject(Mt.add($t).div(2).sub(Fr)),zoom:nr,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,le){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,le)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,le=!1,Fe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(le=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(Fe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),le&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),Fe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let le=a.Z.fromLngLat(w,B),Fe=a.Z.fromLngLat(Q,ee),Ze=Fe.x-le.x,ut=Fe.y-le.y,Mt=Fe.z-le.z,Jt=Math.hypot(Ze,ut,Mt);if(Jt===0)throw new Error(\"Can't calculate camera options with same From and To\");let $t=Math.hypot(Ze,ut),yr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Jt/this.transform.tileSize),Cr=180*Math.atan2(Ze,-ut)/Math.PI,ve=180*Math.acos($t/Jt)/Math.PI;return ve=Mt<0?90-ve:90+ve,{center:Fe.toLngLat(),zoom:yr,pitch:ve,bearing:Cr}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),le=ee.zoom,Fe=ee.bearing,Ze=ee.pitch,ut=ee.padding,Mt=\"bearing\"in w?this._normalizeBearing(w.bearing,Fe):Fe,Jt=\"pitch\"in w?+w.pitch:Ze,$t=\"padding\"in w?w.padding:ee.padding,yr=a.P.convert(w.offset),Cr=ee.centerPoint.add(yr),ve=ee.pointLocation(Cr),{center:xe,zoom:Ie}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(xe,ee);let ze=ee.project(ve),Qe=ee.project(xe).sub(ze),Xe=ee.zoomScale(Ie-le),nt,qt;w.around&&(nt=a.N.convert(w.around),qt=ee.locationPoint(nt));let Wt={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Ie!==le,this._rotating=this._rotating||Fe!==Mt,this._pitching=this._pitching||Jt!==Ze,this._padding=!ee.isPaddingEqual($t),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Wt),this.terrain&&this._prepareElevation(xe),this._ease((nr=>{if(this._zooming&&(ee.zoom=a.y.number(le,Ie,nr)),this._rotating&&(ee.bearing=a.y.number(Fe,Mt,nr)),this._pitching&&(ee.pitch=a.y.number(Ze,Jt,nr)),this._padding&&(ee.interpolatePadding(ut,$t,nr),Cr=ee.centerPoint.add(yr)),this.terrain&&!w.freezeElevation&&this._updateElevation(nr),nt)ee.setLocationAtPoint(nt,qt);else{let fr=ee.zoomScale(ee.zoom-le),br=Ie>le?Math.min(2,Xe):Math.max(.5,Xe),Fr=Math.pow(br,1-nr),Hr=ee.unproject(ze.add(Qe.mult(nr*Fr)).mult(fr));ee.setLocationAtPoint(ee.renderWorldCopies?Hr.wrap():Hr,Cr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)}),(nr=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,nr)}),w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push((ee=>this._elevateCameraIfInsideTerrain(ee))),this.transformCameraUpdate&&B.push((ee=>this.transformCameraUpdate(ee))),!B.length)return;let Q=w.clone();for(let ee of B){let le=Q.clone(),{center:Fe,zoom:Ze,pitch:ut,bearing:Mt,elevation:Jt}=ee(le);Fe&&(le.center=Fe),Ze!==void 0&&(le.zoom=Ze),ut!==void 0&&(le.pitch=ut),Mt!==void 0&&(le.bearing=Mt),Jt!==void 0&&(le.elevation=Jt),Q.apply(le)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,le=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),le&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Ln=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Ln,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),le=ee.zoom,Fe=ee.bearing,Ze=ee.pitch,ut=ee.padding,Mt=\"bearing\"in w?this._normalizeBearing(w.bearing,Fe):Fe,Jt=\"pitch\"in w?+w.pitch:Ze,$t=\"padding\"in w?w.padding:ee.padding,yr=a.P.convert(w.offset),Cr=ee.centerPoint.add(yr),ve=ee.pointLocation(Cr),{center:xe,zoom:Ie}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(xe,ee);let ze=ee.zoomScale(Ie-le),Qe=ee.project(ve),Xe=ee.project(xe).sub(Qe),nt=w.curve,qt=Math.max(ee.width,ee.height),Wt=qt/ze,nr=Xe.mag();if(\"minZoom\"in w){let Ln=a.ac(Math.min(w.minZoom,le,Ie),ee.minZoom,ee.maxZoom),Kn=qt/ee.zoomScale(Ln-le);nt=Math.sqrt(Kn/nr*2)}let fr=nt*nt;function br(Ln){let Kn=(Wt*Wt-qt*qt+(Ln?-1:1)*fr*fr*nr*nr)/(2*(Ln?Wt:qt)*fr*nr);return Math.log(Math.sqrt(Kn*Kn+1)-Kn)}function Fr(Ln){return(Math.exp(Ln)-Math.exp(-Ln))/2}function Hr(Ln){return(Math.exp(Ln)+Math.exp(-Ln))/2}let ri=br(!1),Ci=function(Ln){return Hr(ri)/Hr(ri+nt*Ln)},cn=function(Ln){return qt*((Hr(ri)*(Fr(Kn=ri+nt*Ln)/Hr(Kn))-Fr(ri))/fr)/nr;var Kn},sn=(br(!0)-ri)/nt;if(Math.abs(nr)<1e-6||!isFinite(sn)){if(Math.abs(qt-Wt)<1e-6)return this.easeTo(w,B);let Ln=Wt<qt?-1:1;sn=Math.abs(Math.log(Wt/qt))/nt,cn=()=>0,Ci=Kn=>Math.exp(Ln*nt*Kn)}return w.duration=\"duration\"in w?+w.duration:1e3*sn/(\"screenSpeed\"in w?+w.screenSpeed/nt:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=Fe!==Mt,this._pitching=Jt!==Ze,this._padding=!ee.isPaddingEqual($t),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(xe),this._ease((Ln=>{let Kn=Ln*sn,Aa=1/Ci(Kn);ee.zoom=Ln===1?Ie:le+ee.scaleZoom(Aa),this._rotating&&(ee.bearing=a.y.number(Fe,Mt,Ln)),this._pitching&&(ee.pitch=a.y.number(Ze,Jt,Ln)),this._padding&&(ee.interpolatePadding(ut,$t,Ln),Cr=ee.centerPoint.add(yr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Ln);let fa=Ln===1?xe:ee.unproject(Qe.add(Xe.mult(cn(Kn))).mult(Aa));ee.setLocationAtPoint(ee.renderWorldCopies?fa.wrap():fa,Cr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)}),(()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)}),w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let La={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Ua{constructor(w=La){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map((ee=>typeof ee!=\"string\"?\"\":ee))):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let le=B[ee];if(le.used||le.usedForTerrain){let Fe=le.getSource();Fe.attribution&&w.indexOf(Fe.attribution)<0&&w.push(Fe.attribution)}}w=w.filter((ee=>String(ee).trim())),w.sort(((ee,le)=>ee.length-le.length)),w=w.filter(((ee,le)=>{for(let Fe=le+1;Fe<w.length;Fe++)if(w[Fe].indexOf(ee)>=0)return!1;return!0}));let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Zn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Dn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ka=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class bo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Tt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((w=>this.getTileByID(w)))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16),a.aP(le.posMatrix,0,a.X,0,a.X,0,1),B[Q]=le}else if(ee.canonical.isChildOf(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let Fe=ee.canonical.z-w.canonical.z,Ze=ee.canonical.x-(ee.canonical.x>>Fe<<Fe),ut=ee.canonical.y-(ee.canonical.y>>Fe<<Fe),Mt=a.X>>Fe;a.aP(le.posMatrix,0,Mt,0,Mt,0,1),a.J(le.posMatrix,le.posMatrix,[-Ze*Mt,-ut*Mt,0]),B[Q]=le}else if(w.canonical.isChildOf(ee.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let Fe=w.canonical.z-ee.canonical.z,Ze=w.canonical.x-(w.canonical.x>>Fe<<Fe),ut=w.canonical.y-(w.canonical.y>>Fe<<Fe),Mt=a.X>>Fe;a.aP(le.posMatrix,0,a.X,0,a.X,0,1),a.J(le.posMatrix,le.posMatrix,[Ze*Mt,ut*Mt,0]),a.K(le.posMatrix,le.posMatrix,[1/2**Fe,1/2**Fe,0]),B[Q]=le}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let le=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!le||!le.dem)&&B)for(;ee>=Q.minzoom&&(!le||!le.dem);)le=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return le}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter((B=>B.timeAdded>=w))}}class Zo{constructor(w,B,Q){this.painter=w,this.sourceCache=new bo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var le;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let Fe=this.getTerrainData(w),Ze=(le=Fe.tile)===null||le===void 0?void 0:le.dem;if(!Ze)return 0;let ut=(function(ve,xe,Ie){var ze=xe[0],Qe=xe[1];return ve[0]=Ie[0]*ze+Ie[4]*Qe+Ie[12],ve[1]=Ie[1]*ze+Ie[5]*Qe+Ie[13],ve})([],[B/ee*a.X,Q/ee*a.X],Fe.u_terrain_matrix),Mt=[ut[0]*Ze.dim,ut[1]*Ze.dim],Jt=Math.floor(Mt[0]),$t=Math.floor(Mt[1]),yr=Mt[0]-Jt,Cr=Mt[1]-$t;return Ze.get(Jt,$t)*(1-yr)*(1-Cr)+Ze.get(Jt+1,$t)*yr*(1-Cr)+Ze.get(Jt,$t+1)*(1-yr)*Cr+Ze.get(Jt+1,$t+1)*yr*Cr}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:le}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,le%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,le=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new g(ee,le,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new g(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new g(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,le=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?le=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let Fe=w.canonical.x-(w.canonical.x>>le<<le),Ze=w.canonical.y-(w.canonical.y>>le<<le),ut=a.bc(new Float64Array(16),[1/(a.X<<le),1/(a.X<<le),0]);a.J(ut,ut,[Fe*a.X,Ze*a.X,0]),this._demMatrixCache[w.key]={matrix:ut,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let le=0,Fe=0;le<this._coordsTextureSize;le++)for(let Ze=0;Ze<this._coordsTextureSize;Ze++,Fe+=4)B[Fe+0]=255&Ze,B[Fe+1]=255&le,B[Fe+2]=Ze>>8<<4|le>>8,B[Fe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new g(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,le=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),Fe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),Ze=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(le,Ze-Fe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let ut=B[0]+(B[2]>>4<<8),Mt=B[1]+((15&B[2])<<8),Jt=this.coordsIndex[255-B[3]],$t=Jt&&this.sourceCache.getTileByID(Jt);if(!$t)return null;let yr=this._coordsTextureSize,Cr=(1<<$t.tileID.canonical.z)*yr;return new a.Z(($t.tileID.canonical.x*yr+ut)/Cr+$t.tileID.wrap,($t.tileID.canonical.y*yr+Mt)/Cr,this.getElevation($t.tileID,ut,Mt,yr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,le=a.X/ee,Fe=ee*ee;for(let $t=0;$t<=ee;$t++)for(let yr=0;yr<=ee;yr++)B.emplaceBack(yr*le,$t*le,0);for(let $t=0;$t<Fe;$t+=ee+1)for(let yr=0;yr<ee;yr++)Q.emplaceBack(yr+$t,ee+yr+$t+1,ee+yr+$t+2),Q.emplaceBack(yr+$t,ee+yr+$t+2,yr+$t+1);let Ze=B.length,ut=Ze+2*(ee+1);for(let $t of[0,1])for(let yr=0;yr<=ee;yr++)for(let Cr of[0,1])B.emplaceBack(yr*le,$t*a.X,Cr);for(let $t=0;$t<2*ee;$t+=2)Q.emplaceBack(ut+$t,ut+$t+1,ut+$t+3),Q.emplaceBack(ut+$t,ut+$t+3,ut+$t+2),Q.emplaceBack(Ze+$t,Ze+$t+3,Ze+$t+1),Q.emplaceBack(Ze+$t,Ze+$t+2,Ze+$t+3);let Mt=B.length,Jt=Mt+2*(ee+1);for(let $t of[0,1])for(let yr=0;yr<=ee;yr++)for(let Cr of[0,1])B.emplaceBack($t*a.X,yr*le,Cr);for(let $t=0;$t<2*ee;$t+=2)Q.emplaceBack(Mt+$t,Mt+$t+1,Mt+$t+3),Q.emplaceBack(Mt+$t,Mt+$t+3,Mt+$t+2),Q.emplaceBack(Jt+$t,Jt+$t+3,Jt+$t+1),Q.emplaceBack(Jt+$t,Jt+$t+2,Jt+$t+3);return this._mesh=new Eu(w.createVertexBuffer(B,Ka.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,le=Q.x*ee,Fe=Q.y*ee,Ze=Math.floor(le/a.X),ut=Math.floor(Fe/a.X);return{tileID:new a.S(B,0,B,Ze,ut),mercatorX:le,mercatorY:Fe}}}class Ss{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new g(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((B=>w.id!==B)),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some((w=>!w.inUse))===!1}}let as={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ws{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ss(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter((Q=>!w._layers[Q].isHidden(B))),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let le of ee){let Fe=this.terrain.sourceCache.getTerrainCoords(le);for(let Ze in Fe)this._coordsDescendingInv[Q][Ze]||(this._coordsDescendingInv[Q][Ze]=[]),this._coordsDescendingInv[Q][Ze].push(Fe[Ze])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],le=ee.source;if(as[ee.type]&&!this._coordsDescendingInvStr[le]){this._coordsDescendingInvStr[le]={};for(let Fe in this._coordsDescendingInv[le])this._coordsDescendingInvStr[le][Fe]=this._coordsDescendingInv[le][Fe].map((Ze=>Ze.key)).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let le=this._coordsDescendingInvStr[ee][Q.tileID.key];le&&le!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(as[B]&&(this._prevType&&as[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(as[this._prevType]||as[B]&&ee){this._prevType=B;let le=this._stacks.length-1,Fe=this._stacks[le]||[];for(let Ze of this._renderableTiles){if(this.pool.isFull()&&(js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(Ze),Ze.rtt[le]){let Mt=this.pool.getObjectForId(Ze.rtt[le].id);if(Mt.stamp===Ze.rtt[le].stamp){this.pool.useObject(Mt);continue}}let ut=this.pool.getOrCreateFreeObject();this.pool.useObject(ut),this.pool.stampObject(ut),Ze.rtt[le]={id:ut.id,stamp:ut.stamp},Q.context.bindFramebuffer.set(ut.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let Mt=0;Mt<Fe.length;Mt++){let Jt=Q.style._layers[Fe[Mt]],$t=Jt.source?this._coordsDescendingInv[Jt.source][Ze.tileID.key]:[Ze.tileID];Q.context.viewport.set([0,0,ut.fbo.width,ut.fbo.height]),Q._renderTileClippingMasks(Jt,$t),Q.renderLayer(Q,Q.style.sourceCaches[Jt.source],Jt,$t),Jt.source&&(Ze.rttCoords[Jt.source]=this._coordsDescendingInvStr[Jt.source][Ze.tileID.key])}}return js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),as[B]}return!1}}let Ho={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ml=o,Ws={hash:!1,interactive:!0,bearingSnap:7,attributionControl:La,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:a.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},Ls=ue=>{ue.touchstart=ue.dragStart,ue.touchmoveWindow=ue.dragMove,ue.touchend=ue.dragEnd},va={showCompass:!0,showZoom:!0,visualizePitch:!1};class no{constructor(w,B,Q=!1){this.mousedown=Fe=>{this.startMouse(a.e({},Fe,{ctrlKey:!0,preventDefault:()=>Fe.preventDefault()}),c.mousePos(this.element,Fe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=Fe=>{this.moveMouse(Fe,c.mousePos(this.element,Fe))},this.mouseup=Fe=>{this.mouseRotate.dragEnd(Fe),this.mousePitch&&this.mousePitch.dragEnd(Fe),this.offTemp()},this.touchstart=Fe=>{Fe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,Fe.targetTouches)[0],this.startTouch(Fe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=Fe=>{Fe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,Fe.targetTouches)[0],this.moveTouch(Fe,this._lastPos))},this.touchend=Fe=>{Fe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),le=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Wl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:Fe,clickTolerance:Ze,bearingDegreesPerPixelMoved:ut=.8})=>{let Mt=new cf;return new Wu({clickTolerance:Ze,move:(Jt,$t)=>({bearingDelta:($t.x-Jt.x)*ut}),moveStateManager:Mt,enable:Fe,assignEvents:Ls})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=ah({clickTolerance:le,enable:!0}),this.touchPitch=(({enable:Fe,clickTolerance:Ze,pitchDegreesPerPixelMoved:ut=-.5})=>{let Mt=new cf;return new Wu({clickTolerance:Ze,move:(Jt,$t)=>({pitchDelta:($t.y-Jt.y)*ut}),moveStateManager:Mt,enable:Fe,assignEvents:Ls})})({clickTolerance:le,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:le}=this.mousePitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:le}=this.touchPitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let ys;function rs(ue,w,B){let Q=new a.N(ue.lng,ue.lat);if(ue=new a.N(ue.lng,ue.lat),w){let ee=new a.N(ue.lng-360,ue.lat),le=new a.N(ue.lng+360,ue.lat),Fe=B.locationPoint(ue).distSqr(w);B.locationPoint(ee).distSqr(w)<Fe?ue=ee:B.locationPoint(le).distSqr(w)<Fe&&(ue=le)}for(;Math.abs(ue.lng-B.center.lng)>180;){let ee=B.locationPoint(ue);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;ue.lng>B.center.lng?ue.lng-=360:ue.lng+=360}return ue.lng!==Q.lng&&B.locationPoint(ue).y>B.height/2-B.getHorizon()?ue:Q}let Ql={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Cu(ue,w,B){let Q=ue.classList;for(let ee in Ql)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class Yu extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?rs(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let le=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?le=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(le=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let Fe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?Fe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(Fe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${Ql[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${Fe} ${le}`),u.frameAsync(new AbortController).then((()=>{this._updateOpacity(B&&B.type===\"moveend\")})).catch((()=>{}))},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let le=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");le.setAttributeNS(null,\"stroke\",\"none\"),le.setAttributeNS(null,\"stroke-width\",\"1\"),le.setAttributeNS(null,\"fill\",\"none\"),le.setAttributeNS(null,\"fill-rule\",\"evenodd\");let Fe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Fe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let Ze=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ze.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),Ze.setAttributeNS(null,\"fill\",\"#000000\");let ut=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let ze of ut){let Qe=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Qe.setAttributeNS(null,\"opacity\",\"0.04\"),Qe.setAttributeNS(null,\"cx\",\"10.5\"),Qe.setAttributeNS(null,\"cy\",\"5.80029008\"),Qe.setAttributeNS(null,\"rx\",ze.rx),Qe.setAttributeNS(null,\"ry\",ze.ry),Ze.appendChild(Qe)}let Mt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Mt.setAttributeNS(null,\"fill\",this._color);let Jt=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Jt.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),Mt.appendChild(Jt);let $t=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");$t.setAttributeNS(null,\"opacity\",\"0.25\"),$t.setAttributeNS(null,\"fill\",\"#000000\");let yr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");yr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),$t.appendChild(yr);let Cr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Cr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Cr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let ve=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");ve.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let xe=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");xe.setAttributeNS(null,\"fill\",\"#000000\"),xe.setAttributeNS(null,\"opacity\",\"0.25\"),xe.setAttributeNS(null,\"cx\",\"5.5\"),xe.setAttributeNS(null,\"cy\",\"5.5\"),xe.setAttributeNS(null,\"r\",\"5.4999962\");let Ie=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Ie.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Ie.setAttributeNS(null,\"cx\",\"5.5\"),Ie.setAttributeNS(null,\"cy\",\"5.5\"),Ie.setAttributeNS(null,\"r\",\"5.4999962\"),ve.appendChild(xe),ve.appendChild(Ie),Fe.appendChild(Ze),Fe.appendChild(Mt),Fe.appendChild($t),Fe.appendChild(Cr),Fe.appendChild(ve),B.appendChild(Fe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(B=>{B.preventDefault()})),this._element.addEventListener(\"mousedown\",(B=>{B.preventDefault()})),Cu(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}let ee=this._map,le=ee.terrain.depthAtPoint(this._pos),Fe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,Fe)-le<.006)return void(this._element.style.opacity=this._opacity);let Ze=-this._offset.y/ee.transform._pixelPerMeter,ut=Math.sin(ee.getPitch()*Math.PI/180)*Ze,Mt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Jt=ee.transform.lngLatToCameraDepth(this._lngLat,Fe+ut)-Mt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Jt&&this._popup.remove(),this._element.style.opacity=Jt?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let Nc={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},pu=0,Uc=!1,xu={maxWidth:100,unit:\"metric\"};function Ac(ue,w,B){let Q=B&&B.maxWidth||100,ee=ue._container.clientHeight/2,le=ue.unproject([0,ee]),Fe=ue.unproject([Q,ee]),Ze=le.distanceTo(Fe);if(B&&B.unit===\"imperial\"){let ut=3.2808*Ze;ut>5280?Va(w,Q,ut/5280,ue._getUIString(\"ScaleControl.Miles\")):Va(w,Q,ut,ue._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Va(w,Q,Ze/1852,ue._getUIString(\"ScaleControl.NauticalMiles\")):Ze>=1e3?Va(w,Q,Ze/1e3,ue._getUIString(\"ScaleControl.Kilometers\")):Va(w,Q,Ze,ue._getUIString(\"ScaleControl.Meters\"))}function Va(ue,w,B,Q){let ee=(function(le){let Fe=Math.pow(10,`${Math.floor(le)}`.length-1),Ze=le/Fe;return Ze=Ze>=10?10:Ze>=5?5:Ze>=3?3:Ze>=2?2:Ze>=1?1:(function(ut){let Mt=Math.pow(10,Math.ceil(-Math.log(ut)/Math.LN10));return Math.round(ut*Mt)/Mt})(Ze),Fe*Ze})(B);ue.style.width=w*(ee/B)+\"px\",ue.innerHTML=`${ee}&nbsp;${Q}`}let oo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Vc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function hc(ue){if(ue){if(typeof ue==\"number\"){let w=Math.round(Math.abs(ue)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,ue),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-ue),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(ue,0),right:new a.P(-ue,0)}}if(ue instanceof a.P||Array.isArray(ue)){let w=a.P.convert(ue);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(ue.center||[0,0]),top:a.P.convert(ue.top||[0,0]),\"top-left\":a.P.convert(ue[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(ue[\"top-right\"]||[0,0]),bottom:a.P.convert(ue.bottom||[0,0]),\"bottom-left\":a.P.convert(ue[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(ue[\"bottom-right\"]||[0,0]),left:a.P.convert(ue.left||[0,0]),right:a.P.convert(ue.right||[0,0])}}return hc(new a.P(0,0))}let Ku=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=Ua,i.BoxZoomHandler=ku,i.CanvasSource=rr,i.CooperativeGesturesHandler=$i,i.DoubleClickZoomHandler=Mi,i.DragPanHandler=wn,i.DragRotateHandler=On,i.EdgeInsets=hu,i.FullscreenControl=class extends a.E{constructor(ue={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,ue&&ue.container&&(ue.container instanceof HTMLElement?this._container=ue.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(ue){return this._map=ue,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let ue=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",ue).setAttribute(\"aria-hidden\",\"true\"),ue.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let ue=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",ue),this._fullscreenButton.title=ue}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=at,i.GeolocateControl=class extends a.E{constructor(ue){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),le=a.e({bearing:ee},this.options.fitBoundsOptions),Fe=ce.fromLngLat(B,Q);this._map.fitBounds(Fe,le,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Uc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(w=>w.preventDefault())),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Yu({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Yu({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))}))}},this.options=a.e({},Nc,ue)}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),(function(){return a._(this,arguments,void 0,(function*(w=!1){if(ys!==void 0&&!w)return ys;if(window.navigator.permissions===void 0)return ys=!!window.navigator.geolocation,ys;try{ys=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){ys=!!window.navigator.geolocation}return ys}))})().then((w=>this._finishSetupUI(w))),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,pu=0,Uc=!1}_isOutOfMapMaxBounds(ue){let w=this._map.getMaxBounds(),B=ue.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let ue=this._map.getBounds(),w=ue.getSouthEast(),B=ue.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":pu--,Uc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let ue;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),pu++,pu>1?(ue={maximumAge:6e5,timeout:0},Uc=!0):(ue=this.options.positionOptions,Uc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,ue)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=Mh,i.ImageSource=ar,i.KeyboardHandler=Zt,i.LngLatBounds=ce,i.LogoControl=Zn,i.Map=class extends Ra{constructor(ue){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Ws),ue);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new il(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Dn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Ho),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new k(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=nh((ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())}),50);this._resizeObserver=new ResizeObserver((ee=>{B?Q(ee):B=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Ca(this,w),this._hash=w.hash&&new Mh(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new Ua(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Zn,w.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))})),this.on(\"dataloading\",(B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))})),this.on(\"dataabort\",(B=>{this.fire(new a.k(\"sourcedataabort\",B))}))}_getMapId(){return this._mapId}addControl(ue,w){if(w===void 0&&(w=ue.getDefaultPosition?ue.getDefaultPosition():\"top-right\"),!ue||!ue.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=ue.onAdd(this);this._controls.push(ue);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(ue){if(!ue||!ue.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(ue);return w>-1&&this._controls.splice(w,1),ue.onRemove(this),this}hasControl(ue){return this._controls.indexOf(ue)>-1}calculateCameraOptionsFromTo(ue,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(ue,w,B,Q)}resize(ue){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],le=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,le),this.painter.resize(Q,ee,le),this.painter.overLimit()){let Ze=this.painter.context.gl;this._maxCanvasSize=[Ze.drawingBufferWidth,Ze.drawingBufferHeight];let ut=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,ut),this.painter.resize(Q,ee,ut)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let Fe=!this._moving;return Fe&&(this.stop(),this.fire(new a.k(\"movestart\",ue)).fire(new a.k(\"move\",ue))),this.fire(new a.k(\"resize\",ue)),Fe&&this.fire(new a.k(\"moveend\",ue)),this}_getClampedPixelRatio(ue,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),le=ue*ee,Fe=w*ee;return Math.min(le>B?B/le:1,Fe>Q?Q/Fe:1)*ee}getPixelRatio(){var ue;return(ue=this._overridePixelRatio)!==null&&ue!==void 0?ue:devicePixelRatio}setPixelRatio(ue){this._overridePixelRatio=ue,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(ue){return this.transform.setMaxBounds(ce.convert(ue)),this._update()}setMinZoom(ue){if((ue=ue==null?-2:ue)>=-2&&ue<=this.transform.maxZoom)return this.transform.minZoom=ue,this._update(),this.getZoom()<ue&&this.setZoom(ue),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(ue){if((ue=ue==null?22:ue)>=this.transform.minZoom)return this.transform.maxZoom=ue,this._update(),this.getZoom()>ue&&this.setZoom(ue),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(ue){if((ue=ue==null?0:ue)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(ue>=0&&ue<=this.transform.maxPitch)return this.transform.minPitch=ue,this._update(),this.getPitch()<ue&&this.setPitch(ue),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(ue){if((ue=ue==null?60:ue)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(ue>=this.transform.minPitch)return this.transform.maxPitch=ue,this._update(),this.getPitch()>ue&&this.setPitch(ue),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(ue){return this.transform.renderWorldCopies=ue,this._update()}project(ue){return this.transform.locationPoint(a.N.convert(ue),this.style&&this.terrain)}unproject(ue){return this.transform.pointLocation(a.P.convert(ue),this.terrain)}isMoving(){var ue;return this._moving||((ue=this.handlers)===null||ue===void 0?void 0:ue.isMoving())}isZooming(){var ue;return this._zooming||((ue=this.handlers)===null||ue===void 0?void 0:ue.isZooming())}isRotating(){var ue;return this._rotating||((ue=this.handlers)===null||ue===void 0?void 0:ue.isRotating())}_createDelegatedListener(ue,w,B){if(ue===\"mouseenter\"||ue===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:le=>{let Fe=w.filter((ut=>this.getLayer(ut))),Ze=Fe.length!==0?this.queryRenderedFeatures(le.point,{layers:Fe}):[];Ze.length?Q||(Q=!0,B.call(this,new jl(ue,this,le.originalEvent,{features:Ze}))):Q=!1},mouseout:()=>{Q=!1}}}}if(ue===\"mouseleave\"||ue===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:Fe=>{let Ze=w.filter((ut=>this.getLayer(ut)));(Ze.length!==0?this.queryRenderedFeatures(Fe.point,{layers:Ze}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new jl(ue,this,Fe.originalEvent)))},mouseout:Fe=>{Q&&(Q=!1,B.call(this,new jl(ue,this,Fe.originalEvent)))}}}}{let Q=ee=>{let le=w.filter((Ze=>this.getLayer(Ze))),Fe=le.length!==0?this.queryRenderedFeatures(ee.point,{layers:le}):[];Fe.length&&(ee.features=Fe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[ue]:Q}}}}_saveDelegatedListener(ue,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[ue]=this._delegatedListeners[ue]||[],this._delegatedListeners[ue].push(w)}_removeDelegatedListener(ue,w,B){if(!this._delegatedListeners||!this._delegatedListeners[ue])return;let Q=this._delegatedListeners[ue];for(let ee=0;ee<Q.length;ee++){let le=Q[ee];if(le.listener===B&&le.layers.length===w.length&&le.layers.every((Fe=>w.includes(Fe)))){for(let Fe in le.delegates)this.off(Fe,le.delegates[Fe]);return void Q.splice(ee,1)}}}on(ue,w,B){if(B===void 0)return super.on(ue,w);let Q=this._createDelegatedListener(ue,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(ue,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(ue,w,B){if(B===void 0)return super.once(ue,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(ue,Q,B);for(let le in ee.delegates){let Fe=ee.delegates[le];ee.delegates[le]=(...Ze)=>{this._removeDelegatedListener(ue,Q,B),Fe(...Ze)}}this._saveDelegatedListener(ue,ee);for(let le in ee.delegates)this.once(le,ee.delegates[le]);return this}off(ue,w,B){return B===void 0?super.off(ue,w):(this._removeDelegatedListener(ue,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(ue,w){if(!this.style)return[];let B,Q=ue instanceof a.P||Array.isArray(ue),ee=Q?ue:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:ue)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let le=a.P.convert(ee[0]),Fe=a.P.convert(ee[1]);B=[le,new a.P(Fe.x,le.y),Fe,new a.P(le.x,Fe.y),le]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(ue,w){return this.style.querySourceFeatures(ue,w)}setStyle(ue,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&ue?(this._diffStyle(ue,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(ue,w))}setTransformRequest(ue){return this._requestManager.setTransformRequest(ue),this}_getUIString(ue){let w=this._locale[ue];if(w==null)throw new Error(`Missing UI string '${ue}'`);return w}_updateStyle(ue,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(ue,w)));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!ue)),ue?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof ue==\"string\"?this.style.loadURL(ue,w,B):this.style.loadJSON(ue,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(ue,w){if(typeof ue==\"string\"){let B=this._requestManager.transformRequest(ue,\"Style\");a.h(B,new AbortController).then((Q=>{this._updateDiff(Q.data,w)})).catch((Q=>{Q&&this.fire(new a.j(Q))}))}else typeof ue==\"object\"&&this._updateDiff(ue,w)}_updateDiff(ue,w){try{this.style.setState(ue,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(ue,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(ue,w){return this._lazyInitEmptyStyle(),this.style.addSource(ue,w),this._update(!0)}isSourceLoaded(ue){let w=this.style&&this.style.sourceCaches[ue];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${ue}'`)))}setTerrain(ue){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),ue){let w=this.style.sourceCaches[ue.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${ue.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===ue.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Zo(this.painter,w,ue),this.painter.renderToTexture=new ws(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==ue.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:ue})),this}getTerrain(){var ue,w;return(w=(ue=this.terrain)===null||ue===void 0?void 0:ue.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let ue=this.style&&this.style.sourceCaches;for(let w in ue){let B=ue[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(ue){return this.style.removeSource(ue),this._update(!0)}getSource(ue){return this.style.getSource(ue)}addImage(ue,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Jt,height:$t,data:yr}=w,Cr=w;return this.style.addImage(ue,{data:new a.R({width:Jt,height:$t},new Uint8Array(yr)),pixelRatio:Q,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt,sdf:ee,version:0,userImage:Cr}),Cr.onAdd&&Cr.onAdd(this,ue),this}}{let{width:Jt,height:$t,data:yr}=u.getImageData(w);this.style.addImage(ue,{data:new a.R({width:Jt,height:$t},yr),pixelRatio:Q,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt,sdf:ee,version:0})}}updateImage(ue,w){let B=this.style.getImage(ue);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:le,data:Fe}=Q;if(ee===void 0||le===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||le!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let Ze=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(Fe,Ze),this.style.updateImage(ue,B),this}getImage(ue){return this.style.getImage(ue)}hasImage(ue){return ue?!!this.style.getImage(ue):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(ue){this.style.removeImage(ue)}loadImage(ue){return p.getImage(this._requestManager.transformRequest(ue,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(ue,w){return this._lazyInitEmptyStyle(),this.style.addLayer(ue,w),this._update(!0)}moveLayer(ue,w){return this.style.moveLayer(ue,w),this._update(!0)}removeLayer(ue){return this.style.removeLayer(ue),this._update(!0)}getLayer(ue){return this.style.getLayer(ue)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(ue,w,B){return this.style.setLayerZoomRange(ue,w,B),this._update(!0)}setFilter(ue,w,B={}){return this.style.setFilter(ue,w,B),this._update(!0)}getFilter(ue){return this.style.getFilter(ue)}setPaintProperty(ue,w,B,Q={}){return this.style.setPaintProperty(ue,w,B,Q),this._update(!0)}getPaintProperty(ue,w){return this.style.getPaintProperty(ue,w)}setLayoutProperty(ue,w,B,Q={}){return this.style.setLayoutProperty(ue,w,B,Q),this._update(!0)}getLayoutProperty(ue,w){return this.style.getLayoutProperty(ue,w)}setGlyphs(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(ue,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(ue,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(ue,w,B,(Q=>{Q||this._update(!0)})),this}removeSprite(ue){return this._lazyInitEmptyStyle(),this.style.removeSprite(ue),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(ue,w,(B=>{B||this._update(!0)})),this}setLight(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(ue,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(ue){return this._lazyInitEmptyStyle(),this.style.setSky(ue),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(ue,w){return this.style.setFeatureState(ue,w),this._update()}removeFeatureState(ue,w){return this.style.removeFeatureState(ue,w),this._update()}getFeatureState(ue){return this.style.getFeatureState(ue)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let ue=0,w=0;return this._container&&(ue=this._container.clientWidth||400,w=this._container.clientHeight||300),[ue,w]}_setupContainer(){let ue=this._container;ue.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",ue);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",ue),le=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((Fe=>{le[Fe]=c.create(\"div\",`maplibregl-ctrl-${Fe} `,ee)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(ue,w,B){this._canvas.width=Math.floor(B*ue),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${ue}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let ue={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(Q=>{w={requestedAttributes:ue},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)}),{once:!0});let B=this._canvas.getContext(\"webgl2\",ue)||this._canvas.getContext(\"webgl\",ue);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Dc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(ue){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||ue,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(ue){return this._update(),this._renderTaskQueue.add(ue)}_cancelRenderFrame(ue){this._renderTaskQueue.remove(ue)}_render(ue){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(ue),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,le=u.now();this.style.zoomHistory.update(ee,le);let Fe=new a.z(ee,{now:le,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ze=Fe.crossFadingFactor();Ze===1&&Ze===this._crossFadingFactor||(B=!0,this._crossFadingFactor=Ze),this.style.update(Fe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var ue;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),(ue=this._resizeObserver)===null||ue===void 0||ue.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then((ue=>{a.bf.frame(ue),this._frameRequest=null,this._render(ue)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(ue){this._showTileBoundaries!==ue&&(this._showTileBoundaries=ue,this._update())}get showPadding(){return!!this._showPadding}set showPadding(ue){this._showPadding!==ue&&(this._showPadding=ue,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(ue){this._showCollisionBoxes!==ue&&(this._showCollisionBoxes=ue,ue?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(ue){this._showOverdrawInspector!==ue&&(this._showOverdrawInspector=ue,this._update())}get repaint(){return!!this._repaint}set repaint(ue){this._repaint!==ue&&(this._repaint=ue,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(ue){this._vertices=ue,this._update()}get version(){return ml}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=jl,i.MapTouchEvent=uf,i.MapWheelEvent=Xh,i.Marker=Yu,i.NavigationControl=class{constructor(ue){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},va,ue),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(w=>w.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(w=>this._map.zoomIn({},{originalEvent:w}))),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(w=>this._map.zoomOut({},{originalEvent:w}))),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})})),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(ue){return this._map=ue,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new no(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(ue,w){let B=c.create(\"button\",ue,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(ue){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let Ze of this.options.className.split(\" \"))this._container.classList.add(Ze);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?rs(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,le=hc(this.options.offset);if(!ee){let Ze=this._container.offsetWidth,ut=this._container.offsetHeight,Mt;Mt=Q.y+le.bottom.y<ut?[\"top\"]:Q.y>this._map.transform.height-ut?[\"bottom\"]:[],Q.x<Ze/2?Mt.push(\"left\"):Q.x>this._map.transform.width-Ze/2&&Mt.push(\"right\"),ee=Mt.length===0?\"bottom\":Mt.join(\"-\")}let Fe=Q.add(le[ee]);this.options.subpixelPositioning||(Fe=Fe.round()),c.setTransform(this._container,`${Ql[ee]} translate(${Fe.x}px,${Fe.y}px)`),Cu(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(oo),ue)}addTo(ue){return this._map&&this.remove(),this._map=ue,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(ue){return this._lngLat=a.N.convert(ue),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(ue){return this.setDOMContent(document.createTextNode(ue))}setHTML(ue){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=ue;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var ue;return(ue=this._container)===null||ue===void 0?void 0:ue.style.maxWidth}setMaxWidth(ue){return this.options.maxWidth=ue,this._update(),this}setDOMContent(ue){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(ue),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(ue){return this._container&&this._container.classList.add(ue),this}removeClassName(ue){return this._container&&this._container.classList.remove(ue),this}setOffset(ue){return this.options.offset=ue,this._update(),this}toggleClassName(ue){if(this._container)return this._container.classList.toggle(ue)}setSubpixelPositioning(ue){this.options.subpixelPositioning=ue}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let ue=this._container.querySelector(Vc);ue&&ue.focus()}},i.RasterDEMTileSource=Ht,i.RasterTileSource=mt,i.ScaleControl=class{constructor(ue){this._onMove=()=>{Ac(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Ac(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},xu),ue)}getDefaultPosition(){return\"bottom-left\"}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",ue.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Kr,i.Style=Ha,i.TerrainControl=class{constructor(ue){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=ue}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=Bc,i.TwoFingersTouchRotateHandler=ff,i.TwoFingersTouchZoomHandler=vu,i.TwoFingersTouchZoomRotateHandler=Yi,i.VectorTileSource=lt,i.VideoSource=Vt,i.addSourceType=(ue,w)=>a._(void 0,void 0,void 0,(function*(){if(je(ue))throw new Error(`A source type called \"${ue}\" already exists.`);((B,Q)=>{tt[B]=Q})(ue,w)})),i.clearPrewarmedResources=function(){let ue=ge;ue&&(ue.isPreloaded()&&ue.numActive()===1?(ue.release(_e),ge=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return St().getRTLTextPluginStatus()},i.getVersion=function(){return Ku},i.getWorkerCount=function(){return Ee.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(ue){return be().broadcast(\"IS\",ue)},i.prewarm=function(){Se().acquire(_e)},i.setMaxParallelImageRequests=function(ue){a.a.MAX_PARALLEL_IMAGE_REQUESTS=ue},i.setRTLTextPlugin=function(ue,w){return St().setRTLTextPlugin(ue,w)},i.setWorkerCount=function(ue){Ee.workerCount=ue},i.setWorkerUrl=function(ue){a.a.WORKER_URL=ue}}));var n=e;return n}))});var Eje=ye((v2r,Mje)=>{\"use strict\";var yw=Pr(),lZt=Zl().sanitizeHTML,uZt=zJ(),Tje=Ix();function Aje(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=Tje.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var sg=Aje.prototype;sg.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=y7(t)};sg.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};sg.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};sg.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};sg.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};sg.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};sg.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!y7(e)){var r=cZt(e);t.addSource(this.idSource,r)}};sg.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(Tje.traceLayerPrefix)===0){e=n;break}}return e};sg.updateLayer=function(e){var t=this.subplot,r=Sje(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),y7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};sg.updateStyle=function(e){if(y7(e)){var t=Sje(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};sg.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};sg.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function y7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return yw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function Sje(e){var t={},r={};switch(e.type){case\"circle\":yw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":yw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":yw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=uZt(n.textposition,n.iconsize);yw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),yw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":yw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function cZt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=lZt(e.sourceattribution)),n}Mje.exports=function(t,r,n){var i=new Aje(t,r);return i.update(n),i}});var Fje=ye((p2r,Dje)=>{\"use strict\";var VJ=wje(),GJ=Pr(),Lje=ey(),kje=Oa(),fZt=ho(),hZt=yv(),_7=ef(),Pje=Cg(),dZt=Pje.drawMode,vZt=Pje.selectMode,pZt=qf().prepSelect,gZt=qf().clearOutline,mZt=qf().clearSelectionsCache,yZt=qf().selectOnClick,_w=Ix(),_Zt=Eje();function Ije(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Hh=Ije.prototype;Hh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Hh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=Rje(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new VJ.Map({container:i.div,style:o.style,center:HJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new VJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(Lje.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Hh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=Rje(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(Lje.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Hh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var Cje={choroplethmap:0,densitymap:1,scattermap:2};Hh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return Cje[f[0].trace.type]-Cje[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Hh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(HJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Hh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Hh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(_w.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Hh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},fZt.setConvert(t.mockAxis,e)};Hh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];kje.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&_7.hover(n,s,r.id)},_7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){_7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];kje.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(HJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){mZt(r.dragOptions),gZt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&yZt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&_7.click(n,l.originalEvent)}}};Hh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=GJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),vZt(a)||dZt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){pZt(l,u,c,t.dragOptions,a)},hZt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Hh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Hh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(_Zt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Hh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Hh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Hh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Hh.getMapLayers=function(){return this.map.getStyle().layers};Hh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}GJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Hh.project=function(e){return this.map.project(new VJ.LngLat(e[0],e[1]))};Hh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Hh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Hh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function Rje(e){var t={};return GJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,_w.stylesMap[e]?t.style=_w.stylesMap[e]:t.style=e):(t.id=_w.styleValueDflt,t.style=xZt(_w.styleValueDflt)),t.transition={duration:0,delay:0},t}function xZt(e){return _w.styleUrlPrefix+e+\"-\"+_w.styleUrlSuffix}function HJ(e){return[e.lon,e.lat]}Dje.exports=Ije});var Oje=ye((g2r,qje)=>{\"use strict\";var jJ=Pr(),bZt=O_(),wZt=Kd(),zje=rC();qje.exports=function(t,r,n){bZt(t,r,n,{type:\"map\",attributes:zje,handleDefaults:TZt,partition:\"y\"})};function TZt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,wZt(e,t,{name:\"layers\",handleItemDefaults:AZt}),t._input=e}function AZt(e,t){function r(l,u){return jJ.coerce(e,t,zje.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",jJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),jJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var b7=ye(u0=>{\"use strict\";var x7=Pr(),Bje=x7.strTranslate,SZt=x7.strScale,MZt=Id().getSubplotCalcData,EZt=Wp(),kZt=Fa(),Nje=So(),CZt=Zl(),LZt=Fje(),Rx=\"map\";u0.name=Rx;u0.attr=\"subplot\";u0.idRoot=Rx;u0.idRegex=u0.attrRegex=x7.counterRegex(Rx);u0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};u0.layoutAttributes=rC();u0.supplyLayoutDefaults=Oje();u0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[Rx],a=0;a<i.length;a++){var o=i[a],s=MZt(n,Rx,o),l=r[o],u=l._subplot;u||(u=new LZt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:x7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};u0.clean=function(e,t,r,n){for(var i=n._subplots[Rx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};u0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Rx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:EZt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=kZt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=Nje.bBox(d.node()),m=n.w*(o.x[1]-o.x[0]);if(v.width>m/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(CZt.convertToTspans,e),v=Nje.bBox(d.node())}d.attr(\"transform\",Bje(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var p=1;v.width+6>m&&(p=m/(v.width+6));var k=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",Bje(k[0],k[1])+SZt(p))}};u0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Rx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var Vje=ye((y2r,Uje)=>{\"use strict\";Uje.exports={attributes:h7(),supplyDefaults:eje(),colorbar:Qd(),formatLabels:FJ(),calc:TF(),plot:vje(),hoverPoints:m7().hoverPoints,eventData:yje(),selectPoints:xje(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:b7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var Hje=ye((_2r,Gje)=>{\"use strict\";Gje.exports=Vje()});var WJ=ye((x2r,jje)=>{\"use strict\";var b1=l5(),PZt=Tu(),{hovertemplateAttrs:IZt,templatefallbackAttrs:RZt}=Pl(),DZt=Vl(),Dx=Ao().extendFlat;jje.exports=Dx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Dx({},b1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:b1.text,hovertext:b1.hovertext,marker:{line:{color:Dx({},b1.marker.line.color,{editType:\"plot\"}),width:Dx({},b1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Dx({},b1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Dx({},b1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Dx({},b1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:b1.hoverinfo,hovertemplate:IZt({},{keys:[\"properties\"]}),hovertemplatefallback:RZt(),showlegend:Dx({},DZt.showlegend,{dflt:!1})},PZt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var Xje=ye((b2r,Wje)=>{\"use strict\";var oC=Pr(),FZt=td(),zZt=WJ();Wje.exports=function(t,r,n,i){function a(c,f){return oC.coerce(t,r,zZt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!oC.isArrayOrTypedArray(o)||!o.length||!oC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||oC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),FZt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),oC.coerceSelectionMarkerOpacity(r,a)}});var XJ=ye((w2r,Kje)=>{\"use strict\";var qZt=Eo(),w1=Pr(),OZt=tc(),BZt=So(),NZt=hx().makeBlank,Zje=ey();function UZt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:NZt()};if(!r)return a;var o=Zje.extractTraceFeature(e);if(!o)return a;var s=OZt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;w1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var M=k.mo;return qZt(M)?+w1.constrain(M,0,1):0});var f;w1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;w1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],m=v.fOut;if(m){var b=m.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=Zje.feature2polygons(m)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return w1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),w1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},Yje(e),a}function Yje(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=BZt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=w1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return w1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),w1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}Kje.exports={convert:UZt,convertOnSelect:Yje}});var tWe=ye((T2r,eWe)=>{\"use strict\";var $je=XJ().convert,VZt=XJ().convertOnSelect,Jje=Ix().traceLayerPrefix;function Qje(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",Jje+t+\"-fill\"],[\"line\",Jje+t+\"-line\"]],this.below=null}var q5=Qje.prototype;q5.update=function(e){this._update($je(e)),e[0].trace._glTrace=this};q5.updateOnSelect=function(e){this._update(VZt(e))};q5._update=function(e){var 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A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+at.circularPathData.rightFullExtent+\" \"+at.circularPathData.verticalRightInnerExtent+\" L\"+at.circularPathData.rightFullExtent+\" \"+(at.circularPathData.targetY-at.circularPathData.rightSmallArcRadius)+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.targetY+\" L\"+at.circularPathData.targetX+\" \"+at.circularPathData.targetY:ct=\"M\"+at.circularPathData.sourceX+\" \"+at.circularPathData.sourceY+\" L\"+at.circularPathData.leftInnerExtent+\" \"+at.circularPathData.sourceY+\" A\"+at.circularPathData.leftLargeArcRadius+\" \"+at.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+at.circularPathData.leftFullExtent+\" \"+(at.circularPathData.sourceY+at.circularPathData.leftSmallArcRadius)+\" L\"+at.circularPathData.leftFullExtent+\" \"+at.circularPathData.verticalLeftInnerExtent+\" A\"+at.circularPathData.leftLargeArcRadius+\" \"+at.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+at.circularPathData.leftInnerExtent+\" \"+at.circularPathData.verticalFullExtent+\" L\"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.verticalFullExtent+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+at.circularPathData.rightFullExtent+\" \"+at.circularPathData.verticalRightInnerExtent+\" L\"+at.circularPathData.rightFullExtent+\" \"+(at.circularPathData.targetY+at.circularPathData.rightSmallArcRadius)+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.targetY+\" L\"+at.circularPathData.targetX+\" \"+at.circularPathData.targetY,ct}function ae(at,ct){return ie(at)==ie(ct)?at.circularLinkType==\"bottom\"?Ee(at,ct):_e(at,ct):ie(ct)-ie(at)}function _e(at,ct){return at.y0-ct.y0}function Ee(at,ct){return ct.y0-at.y0}function Ce(at,ct){return at.y1-ct.y1}function ge(at,ct){return ct.y1-at.y1}function ie(at){return at.target.column-at.source.column}function Se(at){return at.target.x0-at.source.x1}function ke(at,ct){var ar=V(at),Vt=Se(ct)/Math.tan(ar),rr=lt(at)==\"up\"?at.y1+Vt:at.y1-Vt;return rr}function be(at,ct){var ar=V(at),Vt=Se(ct)/Math.tan(ar),rr=lt(at)==\"up\"?at.y1-Vt:at.y1+Vt;return rr}function Be(at,ct,ar,Vt){at.links.forEach(function(rr){if(!rr.circular&&rr.target.column-rr.source.column>1){var tt=rr.source.column+1,je=rr.target.column-1,Ue=1,Ae=je-tt+1;for(Ue=1;tt<=je;tt++,Ue++)at.nodes.forEach(function(rt){if(rt.column==tt){var St=Ue/(Ae+1),Tt=Math.pow(1-St,3),dt=3*St*Math.pow(1-St,2),Et=3*Math.pow(St,2)*(1-St),pt=Math.pow(St,3),jt=Tt*rr.y0+dt*rr.y0+Et*rr.y1+pt*rr.y1,or=jt-rr.width/2,mr=jt+rr.width/2,Ar;or>rt.y0&&or<rt.y1?(Ar=rt.y1-or+10,Ar=rt.circularLinkType==\"bottom\"?Ar:-Ar,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||Le(rt,ei)&&me(ei,Ar,ct,ar)})):mr>rt.y0&&mr<rt.y1?(Ar=mr-rt.y0+10,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||ei.y0<rt.y1&&ei.y1>rt.y1&&me(ei,Ar,ct,ar)})):or<rt.y0&&mr>rt.y1&&(Ar=mr-rt.y0+10,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||ei.y0<rt.y1&&ei.y1>rt.y1&&me(ei,Ar,ct,ar)}))}})}})}function Le(at,ct){return at.y0>ct.y0&&at.y0<ct.y1||at.y1>ct.y0&&at.y1<ct.y1?!0:at.y0<ct.y0&&at.y1>ct.y1}function me(at,ct,ar,Vt){return at.y0+ct>=ar&&at.y1+ct<=Vt&&(at.y0=at.y0+ct,at.y1=at.y1+ct,at.targetLinks.forEach(function(rr){rr.y1=rr.y1+ct}),at.sourceLinks.forEach(function(rr){rr.y0=rr.y0+ct})),at}function Pe(at,ct,ar,Vt){at.nodes.forEach(function(rr){Vt&&rr.y+(rr.y1-rr.y0)>ct&&(rr.y=rr.y-(rr.y+(rr.y1-rr.y0)-ct));var tt=at.links.filter(function(Ae){return C(Ae.source,ar)==C(rr,ar)}),je=tt.length;je>1&&tt.sort(function(Ae,rt){if(!Ae.circular&&!rt.circular){if(Ae.target.column==rt.target.column)return Ae.y1-rt.y1;if(He(Ae,rt)){if(Ae.target.column>rt.target.column){var St=be(rt,Ae);return Ae.y1-St}if(rt.target.column>Ae.target.column){var Tt=be(Ae,rt);return Tt-rt.y1}}else return Ae.y1-rt.y1}if(Ae.circular&&!rt.circular)return Ae.circularLinkType==\"top\"?-1:1;if(rt.circular&&!Ae.circular)return rt.circularLinkType==\"top\"?1:-1;if(Ae.circular&&rt.circular)return Ae.circularLinkType===rt.circularLinkType&&Ae.circularLinkType==\"top\"?Ae.target.column===rt.target.column?Ae.target.y1-rt.target.y1:rt.target.column-Ae.target.column:Ae.circularLinkType===rt.circularLinkType&&Ae.circularLinkType==\"bottom\"?Ae.target.column===rt.target.column?rt.target.y1-Ae.target.y1:Ae.target.column-rt.target.column:Ae.circularLinkType==\"top\"?-1:1});var Ue=rr.y0;tt.forEach(function(Ae){Ae.y0=Ue+Ae.width/2,Ue=Ue+Ae.width}),tt.forEach(function(Ae,rt){if(Ae.circularLinkType==\"bottom\"){var St=rt+1,Tt=0;for(St;St<je;St++)Tt=Tt+tt[St].width;Ae.y0=rr.y1-Tt-Ae.width/2}})})}function ce(at,ct,ar){at.nodes.forEach(function(Vt){var rr=at.links.filter(function(Ue){return C(Ue.target,ar)==C(Vt,ar)}),tt=rr.length;tt>1&&rr.sort(function(Ue,Ae){if(!Ue.circular&&!Ae.circular){if(Ue.source.column==Ae.source.column)return Ue.y0-Ae.y0;if(He(Ue,Ae)){if(Ae.source.column<Ue.source.column){var rt=ke(Ae,Ue);return Ue.y0-rt}if(Ue.source.column<Ae.source.column){var St=ke(Ue,Ae);return St-Ae.y0}}else return Ue.y0-Ae.y0}if(Ue.circular&&!Ae.circular)return Ue.circularLinkType==\"top\"?-1:1;if(Ae.circular&&!Ue.circular)return Ae.circularLinkType==\"top\"?1:-1;if(Ue.circular&&Ae.circular)return Ue.circularLinkType===Ae.circularLinkType&&Ue.circularLinkType==\"top\"?Ue.source.column===Ae.source.column?Ue.source.y1-Ae.source.y1:Ue.source.column-Ae.source.column:Ue.circularLinkType===Ae.circularLinkType&&Ue.circularLinkType==\"bottom\"?Ue.source.column===Ae.source.column?Ue.source.y1-Ae.source.y1:Ae.source.column-Ue.source.column:Ue.circularLinkType==\"top\"?-1:1});var je=Vt.y0;rr.forEach(function(Ue){Ue.y1=je+Ue.width/2,je=je+Ue.width}),rr.forEach(function(Ue,Ae){if(Ue.circularLinkType==\"bottom\"){var rt=Ae+1,St=0;for(rt;rt<tt;rt++)St=St+rr[rt].width;Ue.y1=Vt.y1-St-Ue.width/2}})})}function He(at,ct){return lt(at)==lt(ct)}function lt(at){return at.y0-at.y1>0?\"up\":\"down\"}function mt(at,ct){return C(at.source,ct)==C(at.target,ct)}function Ht(at,ct,ar){var Vt=at.nodes,rr=at.links,tt=!1,je=!1;if(rr.forEach(function(dt){dt.circularLinkType==\"top\"?tt=!0:dt.circularLinkType==\"bottom\"&&(je=!0)}),tt==!1||je==!1){var Ue=t.min(Vt,function(dt){return dt.y0}),Ae=t.max(Vt,function(dt){return dt.y1}),rt=Ae-Ue,St=ar-ct,Tt=St/rt;Vt.forEach(function(dt){var Et=(dt.y1-dt.y0)*Tt;dt.y0=(dt.y0-Ue)*Tt,dt.y1=dt.y0+Et}),rr.forEach(function(dt){dt.y0=(dt.y0-Ue)*Tt,dt.y1=(dt.y1-Ue)*Tt,dt.width=dt.width*Tt})}}e.sankeyCircular=E,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})}))});var i$=ye((U2r,uXe)=>{\"use strict\";uXe.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var wXe=ye((V2r,bXe)=>{\"use strict\";var cXe=QWe(),xYt=(W2(),gb(j2)).interpolateNumber,N5=Fa(),lC=nXe(),bYt=lXe(),Nu=i$(),U5=fd(),xw=ka(),wYt=So(),T1=Pr(),o$=T1.strTranslate,TYt=T1.strRotate,s$=ay(),uC=s$.keyFun,F7=s$.repeat,gXe=s$.unwrap,fXe=Zl(),AYt=Oa(),mXe=Dh(),SYt=mXe.CAP_SHIFT,MYt=mXe.LINE_SPACING,EYt=3;function kYt(e,t,r){var n=gXe(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:lC.sankeyJustify,left:lC.sankeyLeft,right:lC.sankeyRight,center:lC.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,m;v?m=bYt.sankeyCircular().circularLinkGap(0):m=lC.sankey(),m.iterations(Nu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=m();m.nodePadding()<s&&T1.warn(\"node.pad was reduced to \",m.nodePadding(),\" to fit within the figure.\");var p,k,M;for(var T in n._groupLookup){var L=parseInt(n._groupLookup[T]),x;for(p=0;p<b.nodes.length;p++)if(b.nodes[p].pointNumber===L){x=b.nodes[p];break}if(x){var C={pointNumber:parseInt(T),x0:x.x0,x1:x.x1,y0:x.y0,y1:x.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(C),x.childrenNodes.unshift(C)}}function S(){for(p=0;p<b.nodes.length;p++){var V=b.nodes[p],G={},Z,j;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],Z=j.source.pointNumber+\":\"+j.target.pointNumber,G.hasOwnProperty(Z)||(G[Z]=[]),G[Z].push(j);var N=Object.keys(G);for(k=0;k<N.length;k++){Z=N[k];var H=G[Z],re=0,ae={};for(M=0;M<H.length;M++)j=H[M],ae[j.label]||(ae[j.label]=0),ae[j.label]+=j.value,re+=j.value;for(M=0;M<H.length;M++)j=H[M],j.flow={value:re,labelConcentration:ae[j.label]/re,concentration:j.value/re,links:H},j.concentrationscale&&(j.color=U5(j.concentrationscale(j.flow.labelConcentration)))}var _e=0;for(k=0;k<V.sourceLinks.length;k++)_e+=V.sourceLinks[k].value;for(k=0;k<V.sourceLinks.length;k++)j=V.sourceLinks[k],j.concentrationOut=j.value/_e;var Ee=0;for(k=0;k<V.targetLinks.length;k++)Ee+=V.targetLinks[k].value;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],j.concenrationIn=j.value/Ee}}S();function g(V){V.forEach(function(G){var Z,j,N=0,H=G.length,re;for(G.sort(function(ae,_e){return ae.y0-_e.y0}),re=0;re<H;++re)Z=G[re],Z.y0>=N||(j=N-Z.y0,j>1e-6&&(Z.y0+=j,Z.y1+=j)),N=Z.y1+s})}function P(V){var G=V.map(function(_e,Ee){return{x0:_e.x0,index:Ee}}).sort(function(_e,Ee){return _e.x0-Ee.x0}),Z=[],j=-1,N,H=-1/0,re;for(p=0;p<G.length;p++){var ae=V[G[p].index];ae.x0>H+l&&(j+=1,N=ae.x0),H=ae.x0,Z[j]||(Z[j]=[]),Z[j].push(ae),re=N-ae.x0,ae.x0+=re,ae.x1+=re}return Z}if(i.node.x.length&&i.node.y.length){for(p=0;p<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);p++)if(i.node.x[p]&&i.node.y[p]){var E=[i.node.x[p]*c,i.node.y[p]*f];b.nodes[p].x0=E[0]-l/2,b.nodes[p].x1=E[0]+l/2;var z=b.nodes[p].y1-b.nodes[p].y0;b.nodes[p].y0=E[1]-z/2,b.nodes[p].y1=E[1]+z/2}if(i.arrangement===\"snap\"){h=b.nodes;var q=P(h);g(q)}m.update(b)}return{circular:v,key:r,trace:i,guid:T1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:m,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function CYt(e,t,r){var n=U5(t.color),i=U5(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:xw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:xw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:l$,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function LYt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" L \"+(i.rightFullExtent+n-(i.rightLargeArcRadius-n)-t)+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent-n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L \"+i.targetX+\" \"+i.targetY:\"\")+\"Z\"):(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY-n)+\"  L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY+i.rightSmallArcRadius)+\" L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-n-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent-t-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent+n-t+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent-t-n)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L 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IXe=ye(bw=>{\"use strict\";var VYt=mc().overrideAll,GYt=Id().getModuleCalcData,HYt=f$(),jYt=X1(),WYt=Eg(),XYt=yv(),ZYt=qf().prepSelect,h$=Pr(),YYt=Oa(),q7=\"sankey\";bw.name=q7;bw.baseLayoutAttrOverrides=VYt({hoverlabel:jYt.hoverlabel},\"plot\",\"nested\");bw.plot=function(e){var t=GYt(e.calcdata,q7)[0];HYt(e,t),bw.updateFx(e)};bw.clean=function(e,t,r,n){var i=n._has&&n._has(q7),a=t._has&&t._has(q7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};bw.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)KYt(e,t)};function KYt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){WYt(o,a);var s={_id:\"x\",c2p:h$.identity,_offset:r._sankey.translateX,_length:r._sankey.width},l={_id:\"y\",c2p:h$.identity,_offset:r._sankey.translateY,_length:r._sankey.height},u={gd:e,element:o.node(),plotinfo:{id:t,xaxis:s,yaxis:l,fillRangeItems:h$.noop},subplot:t,xaxes:[s],yaxes:[l],doneFnCompleted:function(c){var f=e._fullData[t],h,d=f.node.groups.slice(),v=[];function m(M){for(var T=f._sankey.graph.nodes,L=0;L<T.length;L++)if(T[L].pointNumber===M)return T[L]}for(var b=0;b<c.length;b++){var p=m(c[b].pointNumber);if(p)if(p.group){for(var k=0;k<p.childrenNodes.length;k++)v.push(p.childrenNodes[k].pointNumber);d[p.pointNumber-f.node._count]=!1}else v.push(p.pointNumber)}h=d.filter(Boolean).concat([v]),YYt.call(\"_guiRestyle\",e,{\"node.groups\":[h]},t)}};u.prepFn=function(c,f,h){ZYt(c,f,h,u,i)},XYt.init(u)}}});var DXe=ye((j2r,RXe)=>{\"use strict\";RXe.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s<o.length;s++){var l=o[s];if(!l.partOfGroup){var 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zx=Ao().extendFlat,VXe=Ao().extendDeep,JYt=mc().overrideAll,GXe=ec(),HXe=Ih(),$Yt=Cc().attributes,Nf=Rd(),QYt=vl().templatedArray,O7=tA(),UXe=vf().descriptionOnlyNumbers,d$=GXe({editType:\"plot\",colorEditType:\"plot\"}),fC={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:HXe.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},jXe={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},eKt=QYt(\"step\",VXe({},fC,{range:jXe}));WXe.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:$Yt({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:zx({},d$,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:UXe(\"value\")},font:zx({},d$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\",description:UXe(\"value\")},increasing:{symbol:{valType:\"string\",dflt:O7.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:O7.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:O7.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:O7.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:zx({},d$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:VXe({},fC,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:HXe.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:JYt({range:jXe,visible:zx({},Nf.visible,{dflt:!0}),tickmode:Nf.minor.tickmode,nticks:Nf.nticks,tick0:Nf.tick0,dtick:Nf.dtick,tickvals:Nf.tickvals,ticktext:Nf.ticktext,ticks:zx({},Nf.ticks,{dflt:\"outside\"}),ticklen:Nf.ticklen,tickwidth:Nf.tickwidth,tickcolor:Nf.tickcolor,ticklabelstep:Nf.ticklabelstep,showticklabels:Nf.showticklabels,labelalias:Nf.labelalias,tickfont:GXe({}),tickangle:Nf.tickangle,tickformat:Nf.tickformat,tickformatstops:Nf.tickformatstops,tickprefix:Nf.tickprefix,showtickprefix:Nf.showtickprefix,ticksuffix:Nf.ticksuffix,showticksuffix:Nf.showticksuffix,separatethousands:Nf.separatethousands,exponentformat:Nf.exponentformat,minexponent:Nf.minexponent,showexponent:Nf.showexponent,editType:\"plot\"},\"plot\"),steps:eKt,threshold:{line:{color:zx({},fC.line.color,{}),width:zx({},fC.line.width,{dflt:1}),editType:\"plot\"},thickness:zx({},fC.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}});var p$=ye((K2r,XXe)=>{\"use strict\";XXe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var KXe=ye((J2r,YXe)=>{\"use strict\";var uy=Pr(),N7=v$(),tKt=Cc().defaults,ZXe=vl(),rKt=Kd(),B7=p$(),iKt=Pb(),nKt=B3(),aKt=l_(),oKt=u_();function sKt(e,t,r,n){function i(x,C){return uy.coerce(e,t,N7,x,C)}tKt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=uy.extendFlat({},n.font);l.size=void 0,uy.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=B7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=uy.extendFlat({},n.font);c.size=void 0,uy.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||B7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=uy.extendFlat({},n.font);f.size=.25*(s||u||B7.defaultNumberFontSize),uy.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,m;function b(x,C){return uy.coerce(h,d,N7.gauge,x,C)}function p(x,C){return uy.coerce(v,m,N7.gauge.axis,x,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=ZXe.newContainer(t,\"gauge\"),b(\"shape\");var k=t._isBullet=t.gauge.shape===\"bullet\";k||i(\"title.align\",\"center\");var M=t._isAngular=t.gauge.shape===\"angular\";M||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var T=B7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",T),rKt(h,d,{name:\"steps\",handleItemDefaults:lKt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),m=ZXe.newContainer(d,\"axis\"),p(\"visible\"),t._range=p(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};iKt(v,m,p,\"linear\"),oKt(v,m,p,\"linear\",L),aKt(v,m,p,\"linear\",L),nKt(v,m,p,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function lKt(e,t){function r(n,i){return uy.coerce(e,t,N7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}YXe.exports={supplyDefaults:sKt}});var $Xe=ye(($2r,JXe)=>{\"use strict\";function uKt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}JXe.exports={calc:uKt}});var nZe=ye((Q2r,iZe)=>{\"use strict\";var Mw=Fa(),cKt=(W2(),gb(j2)).interpolate,QXe=(W2(),gb(j2)).interpolateNumber,qx=Pr(),fKt=qx.strScale,dC=qx.strTranslate,hKt=qx.rad2deg,dKt=Dh().MID_SHIFT,Sw=So(),ww=p$(),V7=Zl(),lv=ho(),vKt=v4(),pKt=gI(),gKt=Rd(),j5=ka(),g$={left:\"start\",center:\"middle\",right:\"end\"},Tw={left:0,center:.5,right:1},eZe=/[yzafpn\u00b5mkMGTPEZY]/;function vC(e){return e&&e.duration>0}iZe.exports=function(t,r,n,i){var a=t._fullLayout,o;vC(n)&&i&&(o=i()),qx.makeTraceGroups(a._indicatorlayer,r,\"trace\").each(function(s){var l=s[0],u=l.trace,c=Mw.select(this),f=u._hasGauge,h=u._isAngular,d=u._isBullet,v=u.domain,m={w:a._size.w*(v.x[1]-v.x[0]),h:a._size.h*(v.y[1]-v.y[0]),l:a._size.l+a._size.w*v.x[0],r:a._size.r+a._size.w*(1-v.x[1]),t:a._size.t+a._size.h*(1-v.y[1]),b:a._size.b+a._size.h*v.y[0]},b=m.l+m.w/2,p=m.t+m.h/2,k=Math.min(m.w/2,m.h),M=ww.innerRadius*k,T,L,x,C=u.align||\"center\";if(L=p,!f)T=m.l+Tw[C]*m.w,x=function(j){return tZe(j,m.w,m.h)};else if(h&&(T=b,L=p+k/2,x=function(j){return bKt(j,.9*M)}),d){var S=ww.bulletPadding,g=1-ww.bulletNumberDomainSize+S;T=m.l+(g+(1-g)*Tw[C])*m.w,x=function(j){return tZe(j,(ww.bulletNumberDomainSize-S)*m.w,m.h)}}_Kt(t,c,s,{numbersX:T,numbersY:L,numbersScaler:x,transitionOpts:n,onComplete:o});var P,E;f&&(P={range:u.gauge.axis.range,color:u.gauge.bgcolor,line:{color:u.gauge.bordercolor,width:0},thickness:1},E={range:u.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:u.gauge.bordercolor,width:u.gauge.borderwidth},thickness:1});var z=c.selectAll(\"g.angular\").data(h?s:[]);z.exit().remove();var q=c.selectAll(\"g.angularaxis\").data(h?s:[]);q.exit().remove(),h&&yKt(t,c,s,{radius:k,innerRadius:M,gauge:z,layer:q,size:m,gaugeBg:P,gaugeOutline:E,transitionOpts:n,onComplete:o});var V=c.selectAll(\"g.bullet\").data(d?s:[]);V.exit().remove();var G=c.selectAll(\"g.bulletaxis\").data(d?s:[]);G.exit().remove(),d&&mKt(t,c,s,{gauge:V,layer:G,size:m,gaugeBg:P,gaugeOutline:E,transitionOpts:n,onComplete:o});var Z=c.selectAll(\"text.title\").data(s);Z.exit().remove(),Z.enter().append(\"text\").classed(\"title\",!0),Z.attr(\"text-anchor\",function(){return d?g$.right:g$[u.title.align]}).text(u.title.text).call(Sw.font,u.title.font).call(V7.convertToTspans,t),Z.attr(\"transform\",function(){var j=m.l+m.w*Tw[u.title.align],N,H=ww.titlePadding,re=Sw.bBox(Z.node());if(f){if(h)if(u.gauge.axis.visible){var ae=Sw.bBox(q.node());N=ae.top-H-re.bottom}else N=m.t+m.h/2-k/2-re.bottom-H;d&&(N=L-(re.top+re.bottom)/2,j=m.l-ww.bulletPadding*m.w)}else N=u._numbersTop-H-re.bottom;return dC(j,N)})})};function mKt(e,t,r,n){var i=r[0].trace,a=n.gauge,o=n.layer,s=n.gaugeBg,l=n.gaugeOutline,u=n.size,c=i.domain,f=n.transitionOpts,h=n.onComplete,d,v,m,b,p;a.enter().append(\"g\").classed(\"bullet\",!0),a.attr(\"transform\",dC(u.l,u.t)),o.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),o.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=u.h,M=i.gauge.bar.thickness*k,T=c.x[0],L=c.x[0]+(c.x[1]-c.x[0])*(i._hasNumber||i._hasDelta?1-ww.bulletNumberDomainSize:1);d=hC(e,i.gauge.axis),d._id=\"xbulletaxis\",d.domain=[T,L],d.setScale(),v=lv.calcTicks(d),m=lv.makeTransTickFn(d),b=lv.getTickSigns(d)[2],p=u.t+u.h,d.visible&&(lv.drawTicks(e,d,{vals:d.ticks===\"inside\"?lv.clipEnds(d,v):v,layer:o,path:lv.makeTickPath(d,p,b),transFn:m}),lv.drawLabels(e,d,{vals:v,layer:o,transFn:m,labelFns:lv.makeLabelFns(d,p)}));function x(q){q.attr(\"width\",function(V){return Math.max(0,d.c2p(V.range[1])-d.c2p(V.range[0]))}).attr(\"x\",function(V){return d.c2p(V.range[0])}).attr(\"y\",function(V){return .5*(1-V.thickness)*k}).attr(\"height\",function(V){return V.thickness*k})}var C=[s].concat(i.gauge.steps),S=a.selectAll(\"g.bg-bullet\").data(C);S.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),S.select(\"rect\").call(x).call(Aw),S.exit().remove();var g=a.selectAll(\"g.value-bullet\").data([i.gauge.bar]);g.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),g.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(Aw),vC(f)?g.select(\"rect\").transition().duration(f.duration).ease(f.easing).each(\"end\",function(){h&&h()}).each(\"interrupt\",function(){h&&h()}).attr(\"width\",Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y)))):g.select(\"rect\").attr(\"width\",typeof r[0].y==\"number\"?Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y))):0),g.exit().remove();var 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f=eS(e,Q5([t,0])),h=f[0],d=f[1];return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(0<r?0:1)+\" \"+h+\",\"+d,\"A\"+i+\",\"+i+\" 0 0,\"+(n<0?0:1)+u+\",\"+c].join(\" \")}return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(n<r?0:1)+\" \"+u+\",\"+c].join(\" \")}QJe.exports={smith:Q5,reactanceArc:yQt,resistanceArc:_Qt,smithTransform:eS}});var aQ=ye((b3r,l$e)=>{\"use strict\";var Cw=Fa(),xQt=fd(),Pw=Oa(),Xc=Pr(),fy=Xc.strRotate,xd=Xc.strTranslate,iQ=ka(),bC=So(),bQt=Mc(),pp=ho(),wQt=xm(),TQt=Q$(),AQt=Mg().doAutoRange,M1=YN(),w9=yv(),e$e=ef(),SQt=qb(),MQt=qf().prepSelect,EQt=qf().selectOnClick,nQ=qf().clearOutline,t$e=Eg(),r$e=SM(),i$e=RM().redrawReglTraces,kQt=Dh().MID_SHIFT,Nx=m9(),E1=_9(),T9=rQ(),x9=T9.smith,CQt=T9.reactanceArc,LQt=T9.resistanceArc,b9=T9.smithTransform,PQt=Xc._,n$e=Xc.mod,Ux=Xc.deg2rad,Lw=Xc.rad2deg;function a$e(e,t,r){this.isSmith=r||!1,this.id=t,this.gd=e,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=e._fullLayout,i=\"clip\"+n._uid+t;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",t),this.getHole=function(a){return this.isSmith?0:a.hole},this.getSector=function(a){return this.isSmith?[0,360]:a.sector},this.getRadial=function(a){return this.isSmith?a.realaxis:a.radialaxis},this.getAngular=function(a){return this.isSmith?a.imaginaryaxis:a.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var Nd=a$e.prototype;l$e.exports=function(t,r,n){return new a$e(t,r,n)};Nd.plot=function(e,t){for(var r=this,n=t[r.id],i=!1,a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){i=!0;break}}r._hasClipOnAxisFalse=i,r.updateLayers(t,n),r.updateLayout(t,n),bQt.generalUpdatePerTraceModule(r.gd,r,e,n),r.updateFx(t,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)};Nd.updateLayers=function(e,t){var r=this,n=r.isSmith,i=r.layers,a=r.getRadial(t),o=r.getAngular(t),s=Nx.layerNames,l=s.indexOf(\"frontplot\"),u=s.slice(0,l),c=o.layer===\"below traces\",f=a.layer===\"below traces\";c&&u.push(\"angular-line\"),f&&u.push(\"radial-line\"),c&&u.push(\"angular-axis\"),f&&u.push(\"radial-axis\"),u.push(\"frontplot\"),c||u.push(\"angular-line\"),f||u.push(\"radial-line\"),c||u.push(\"angular-axis\"),f||u.push(\"radial-axis\");var h=(n?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+h).data(u,String);d.enter().append(\"g\").attr(\"class\",function(v){return h+\" \"+v}).each(function(v){var m=i[v]=Cw.select(this);switch(v){case\"frontplot\":n||m.append(\"g\").classed(\"barlayer\",!0),m.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":m.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":i.bg=m.append(\"path\");break;case\"radial-grid\":m.style(\"fill\",\"none\");break;case\"angular-grid\":m.style(\"fill\",\"none\");break;case\"radial-line\":m.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":m.append(\"path\").style(\"fill\",\"none\");break}}),d.order()};Nd.updateLayout=function(e,t){var r=this,n=r.layers,i=e._size,a=r.getRadial(t),o=r.getAngular(t),s=t.domain.x,l=t.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-l[1]);var u=r.xLength=i.w*(s[1]-s[0]),c=r.yLength=i.h*(l[1]-l[0]),f=r.getSector(t);r.sectorInRad=f.map(Ux);var h=r.sectorBBox=IQt(f),d=h[2]-h[0],v=h[3]-h[1],m=c/u,b=Math.abs(v/d),p,k,M,T,L;m>b?(p=u,k=u*b,L=(c-k)/i.h/2,M=[s[0],s[1]],T=[l[0]+L,l[1]-L]):(p=c/b,k=c,L=(u-p)/i.w/2,M=[s[0]+L,s[1]-L],T=[l[0],l[1]]),r.xLength2=p,r.yLength2=k,r.xDomain2=M,r.yDomain2=T;var x=r.xOffset2=i.l+i.w*M[0],C=r.yOffset2=i.t+i.h*(1-T[1]),S=r.radius=p/d,g=r.innerRadius=r.getHole(t)*S,P=r.cx=x-S*h[0],E=r.cy=C+S*h[3],z=r.cxx=P-x,q=r.cyy=E-C,V=a.side,G;V===\"counterclockwise\"?(G=V,V=\"top\"):V===\"clockwise\"&&(G=V,V=\"bottom\"),r.radialAxis=r.mockAxis(e,t,a,{_id:\"x\",side:V,_trueSide:G,domain:[g/i.w,S/i.w]}),r.angularAxis=r.mockAxis(e,t,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(e,t),r.updateAngularAxis(e,t),r.updateRadialAxis(e,t),r.updateRadialAxisTitle(e,t),r.xaxis=r.mockCartesianAxis(e,t,{_id:\"x\",domain:M}),r.yaxis=r.mockCartesianAxis(e,t,{_id:\"y\",domain:T});var Z=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",Z).attr(\"transform\",xd(z,q)),n.frontplot.attr(\"transform\",xd(x,C)).call(bC.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",Z).attr(\"transform\",xd(P,E)).call(iQ.fill,t.bgcolor)};Nd.mockAxis=function(e,t,r,n){var i=Xc.extendFlat({},r,n);return TQt(i,t,e),i};Nd.mockCartesianAxis=function(e,t,r){var n=this,i=n.isSmith,a=r._id,o=Xc.extendFlat({type:\"linear\"},r);wQt(o,e);var s={x:[0,2],y:[1,3]};return o.setRange=function(){var l=n.sectorBBox,u=s[a],c=n.radialAxis._rl,f=(c[1]-c[0])/(1-n.getHole(t));o.range=[l[u[0]]*f,l[u[1]]*f]},o.isPtWithinRange=a===\"x\"&&!i?function(l){return n.isPtInside(l)}:function(){return!0},o.setRange(),o.setScale(),o};Nd.doAutoRange=function(e,t){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(t);AQt(n,i);var o=i.range;if(a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")],i.minallowed!==void 0){var s=i.r2l(i.minallowed);i._rl[0]>i._rl[1]?i._rl[1]=Math.max(i._rl[1],s):i._rl[0]=Math.max(i._rl[0],s)}if(i.maxallowed!==void 0){var l=i.r2l(i.maxallowed);i._rl[0]<i._rl[1]?i._rl[1]=Math.min(i._rl[1],l):i._rl[0]=Math.min(i._rl[0],l)}};Nd.updateRadialAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getRadial(t),c=n$e(r.getSector(t)[0],360),f=r.radialAxis,h=o<a,d=r.isSmith;d||(r.fillViewInitialKey(\"radialaxis.angle\",u.angle),r.fillViewInitialKey(\"radialaxis.range\",f.range.slice()),f.setGeometry()),f.tickangle===\"auto\"&&c>90&&c<=270&&(f.tickangle=180);var v=d?function(S){var g=b9(r,x9([S.x,0]));return xd(g[0]-s,g[1]-l)}:function(S){return xd(f.l2p(S.x)+o,0)},m=d?function(S){return LQt(r,S.x,-1/0,1/0)}:function(S){return r.pathArc(f.r2p(S.x)+o)},b=o$e(u);if(r.radialTickLayout!==b&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=b),h){f.setScale();var p=0,k=d?(f.tickvals||[]).filter(function(S){return S>=0}).map(function(S){return pp.tickText(f,S,!0,!1)}):pp.calcTicks(f),M=d?k:pp.clipEnds(f,k),T=pp.getTickSigns(f)[2];d&&((f.ticks===\"top\"&&f.side===\"bottom\"||f.ticks===\"bottom\"&&f.side===\"top\")&&(T=-T),f.ticks===\"top\"&&f.side===\"top\"&&(p=-f.ticklen),f.ticks===\"bottom\"&&f.side===\"bottom\"&&(p=f.ticklen)),pp.drawTicks(n,f,{vals:k,layer:i[\"radial-axis\"],path:pp.makeTickPath(f,0,T),transFn:v,crisp:!1}),pp.drawGrid(n,f,{vals:M,layer:i[\"radial-grid\"],path:m,transFn:Xc.noop,crisp:!1}),pp.drawLabels(n,f,{vals:k,layer:i[\"radial-axis\"],transFn:v,labelFns:pp.makeLabelFns(f,p)})}var L=r.radialAxisAngle=r.vangles?Lw(s$e(Ux(u.angle),r.vangles)):u.angle,x=xd(s,l),C=x+fy(-L);wC(i[\"radial-axis\"],h&&(u.showticklabels||u.ticks),{transform:C}),wC(i[\"radial-grid\"],h&&u.showgrid,{transform:d?\"\":x}),wC(i[\"radial-line\"].select(\"line\"),h&&u.showline,{x1:d?-a:o,y1:0,x2:a,y2:0,transform:C}).attr(\"stroke-width\",u.linewidth).call(iQ.stroke,u.linecolor)};Nd.updateRadialAxisTitle=function(e,t,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(t),u=n.id+\"title\",c=0;if(l.title){var f=bC.bBox(n.layers[\"radial-axis\"].node()).height,h=l.title.font.size,d=l.side;c=d===\"top\"?h:d===\"counterclockwise\"?-(f+h*.4):f+h*.8}var v=r!==void 0?r:n.radialAxisAngle,m=Ux(v),b=Math.cos(m),p=Math.sin(m),k=o+a/2*b+c*p,M=s-a/2*p+c*b;n.layers[\"radial-axis-title\"]=SQt.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title.text\",placeholder:PQt(i,\"Click to enter radial axis title\"),attributes:{x:k,y:M,\"text-anchor\":\"middle\"},transform:{rotate:-v}})}};Nd.updateAngularAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getAngular(t),c=r.angularAxis,f=r.isSmith;f||(r.fillViewInitialKey(\"angularaxis.rotation\",u.rotation),c.setGeometry(),c.setScale());var h=f?function(g){var P=b9(r,x9([0,g.x]));return Math.atan2(P[0]-s,P[1]-l)-Math.PI/2}:function(g){return c.t2g(g.x)};c.type===\"linear\"&&c.thetaunit===\"radians\"&&(c.tick0=Lw(c.tick0),c.dtick=Lw(c.dtick));var d=function(g){return xd(s+a*Math.cos(g),l-a*Math.sin(g))},v=f?function(g){var P=b9(r,x9([0,g.x]));return xd(P[0],P[1])}:function(g){return d(h(g))},m=f?function(g){var P=b9(r,x9([0,g.x])),E=Math.atan2(P[0]-s,P[1]-l)-Math.PI/2;return xd(P[0],P[1])+fy(-Lw(E))}:function(g){var P=h(g);return d(P)+fy(-Lw(P))},b=f?function(g){return CQt(r,g.x,0,1/0)}:function(g){var P=h(g),E=Math.cos(P),z=Math.sin(P);return\"M\"+[s+o*E,l-o*z]+\"L\"+[s+a*E,l-a*z]},p=pp.makeLabelFns(c,0),k=p.labelStandoff,M={};M.xFn=function(g){var P=h(g);return Math.cos(P)*k},M.yFn=function(g){var P=h(g),E=Math.sin(P)>0?.2:1;return-Math.sin(P)*(k+g.fontSize*E)+Math.abs(Math.cos(P))*(g.fontSize*kQt)},M.anchorFn=function(g){var P=h(g),E=Math.cos(P);return Math.abs(E)<.1?\"middle\":E>0?\"start\":\"end\"},M.heightFn=function(g,P,E){var z=h(g);return-.5*(1+Math.sin(z))*E};var T=o$e(u);r.angularTickLayout!==T&&(i[\"angular-axis\"].selectAll(\".\"+c._id+\"tick\").remove(),r.angularTickLayout=T);var L=f?[1/0].concat(c.tickvals||[]).map(function(g){return pp.tickText(c,g,!0,!1)}):pp.calcTicks(c);f&&(L[0].text=\"\\u221E\",L[0].fontSize*=1.75);var x;if(t.gridshape===\"linear\"?(x=L.map(h),Xc.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,c.type===\"category\"&&(L=L.filter(function(g){return Xc.isAngleInsideSector(h(g),r.sectorInRad)})),c.visible){var C=c.ticks===\"inside\"?-1:1,S=(c.linewidth||1)/2;pp.drawTicks(n,c,{vals:L,layer:i[\"angular-axis\"],path:\"M\"+C*S+\",0h\"+C*c.ticklen,transFn:m,crisp:!1}),pp.drawGrid(n,c,{vals:L,layer:i[\"angular-grid\"],path:b,transFn:Xc.noop,crisp:!1}),pp.drawLabels(n,c,{vals:L,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:v,labelFns:M})}wC(i[\"angular-line\"].select(\"path\"),u.showline,{d:r.pathSubplot(),transform:xd(s,l)}).attr(\"stroke-width\",u.linewidth).call(iQ.stroke,u.linecolor)};Nd.updateFx=function(e,t){if(!this.gd._context.staticPlot){var r=!this.isSmith;r&&(this.updateAngularDrag(e),this.updateRadialDrag(e,t,0),this.updateRadialDrag(e,t,1)),this.updateHoverAndMainDrag(e)}};Nd.updateHoverAndMainDrag=function(e){var t=this,r=t.isSmith,n=t.gd,i=t.layers,a=e._zoomlayer,o=Nx.MINZOOM,s=Nx.OFFEDGE,l=t.radius,u=t.innerRadius,c=t.cx,f=t.cy,h=t.cxx,d=t.cyy,v=t.sectorInRad,m=t.vangles,b=t.radialAxis,p=E1.clampTiny,k=E1.findXYatLength,M=E1.findEnclosingVertexAngles,T=Nx.cornerHalfWidth,L=Nx.cornerLen/2,x,C,S=M1.makeDragger(i,\"path\",\"maindrag\",e.dragmode===!1?\"none\":\"crosshair\");Cw.select(S).attr(\"d\",t.pathSubplot()).attr(\"transform\",xd(c,f)),S.onmousemove=function(ce){e$e.hover(n,ce,t.id),n._fullLayout._lasthover=S,n._fullLayout._hoversubplot=t.id},S.onmouseout=function(ce){n._dragging||w9.unhover(n,ce)};var g={element:S,gd:n,subplot:t.id,plotinfo:{id:t.id,xaxis:t.xaxis,yaxis:t.yaxis},xaxes:[t.xaxis],yaxes:[t.yaxis]},P,E,z,q,V,G,Z,j,N;function H(ce,He){return Math.sqrt(ce*ce+He*He)}function re(ce,He){return H(ce-h,He-d)}function ae(ce,He){return Math.atan2(d-He,ce-h)}function _e(ce,He){return[ce*Math.cos(He),ce*Math.sin(-He)]}function Ee(ce,He){if(ce===0)return t.pathSector(2*T);var lt=L/ce,mt=He-lt,Ht=He+lt,at=Math.max(0,Math.min(ce,l)),ct=at-T,ar=at+T;return\"M\"+_e(ct,mt)+\"A\"+[ct,ct]+\" 0,0,0 \"+_e(ct,Ht)+\"L\"+_e(ar,Ht)+\"A\"+[ar,ar]+\" 0,0,1 \"+_e(ar,mt)+\"Z\"}function Ce(ce,He,lt){if(ce===0)return t.pathSector(2*T);var mt=_e(ce,He),Ht=_e(ce,lt),at=p((mt[0]+Ht[0])/2),ct=p((mt[1]+Ht[1])/2),ar,Vt;if(at&&ct){var rr=ct/at,tt=-1/rr,je=k(T,rr,at,ct);ar=k(L,tt,je[0][0],je[0][1]),Vt=k(L,tt,je[1][0],je[1][1])}else{var Ue,Ae;ct?(Ue=L,Ae=T):(Ue=T,Ae=L),ar=[[at-Ue,ct-Ae],[at+Ue,ct-Ae]],Vt=[[at-Ue,ct+Ae],[at+Ue,ct+Ae]]}return\"M\"+ar.join(\"L\")+\"L\"+Vt.reverse().join(\"L\")+\"Z\"}function ge(){z=null,q=null,V=t.pathSubplot(),G=!1;var ce=n._fullLayout[t.id];Z=xQt(ce.bgcolor).getLuminance(),j=M1.makeZoombox(a,Z,c,f,V),j.attr(\"fill-rule\",\"evenodd\"),N=M1.makeCorners(a,c,f),nQ(n)}function ie(ce,He){return He=Math.max(Math.min(He,l),u),ce<s?ce=0:l-ce<s?ce=l:He<s?He=0:l-He<s&&(He=l),Math.abs(He-ce)>o?(ce<He?(z=ce,q=He):(z=He,q=ce),!0):(z=null,q=null,!1)}function Se(ce,He){ce=ce||V,He=He||\"M0,0Z\",j.attr(\"d\",ce),N.attr(\"d\",He),M1.transitionZoombox(j,N,G,Z),G=!0;var lt={};me(lt),n.emit(\"plotly_relayouting\",lt)}function ke(ce,He){ce=ce*x,He=He*C;var lt=P+ce,mt=E+He,Ht=re(P,E),at=Math.min(re(lt,mt),l),ct=ae(P,E),ar,Vt;ie(Ht,at)&&(ar=V+t.pathSector(q),z&&(ar+=t.pathSector(z)),Vt=Ee(z,ct)+Ee(q,ct)),Se(ar,Vt)}function be(ce,He,lt,mt){var Ht=E1.findIntersectionXY(lt,mt,lt,[ce-h,d-He]);return H(Ht[0],Ht[1])}function Be(ce,He){var lt=P+ce,mt=E+He,Ht=ae(P,E),at=ae(lt,mt),ct=M(Ht,m),ar=M(at,m),Vt=be(P,E,ct[0],ct[1]),rr=Math.min(be(lt,mt,ar[0],ar[1]),l),tt,je;ie(Vt,rr)&&(tt=V+t.pathSector(q),z&&(tt+=t.pathSector(z)),je=[Ce(z,ct[0],ct[1]),Ce(q,ct[0],ct[1])].join(\" \")),Se(tt,je)}function Le(){if(M1.removeZoombox(n),!(z===null||q===null)){var ce={};me(ce),M1.showDoubleClickNotifier(n),Pw.call(\"_guiRelayout\",n,ce)}}function me(ce){var He=b._rl,lt=(He[1]-He[0])/(1-u/l)/l,mt=[He[0]+(z-u)*lt,He[0]+(q-u)*lt];ce[t.id+\".radialaxis.range\"]=mt}function Pe(ce,He){var lt=n._fullLayout.clickmode;if(M1.removeZoombox(n),ce===2){var mt={};for(var Ht in t.viewInitial)mt[t.id+\".\"+Ht]=t.viewInitial[Ht];n.emit(\"plotly_doubleclick\",null),Pw.call(\"_guiRelayout\",n,mt)}lt.indexOf(\"select\")>-1&&ce===1&&EQt(He,n,[t.xaxis],[t.yaxis],t.id,g),lt.indexOf(\"event\")>-1&&e$e.click(n,He,t.id)}g.prepFn=function(ce,He,lt){var mt=n._fullLayout.dragmode,Ht=S.getBoundingClientRect();n._fullLayout._calcInverseTransform(n);var at=n._fullLayout._invTransform;x=n._fullLayout._invScaleX,C=n._fullLayout._invScaleY;var ct=Xc.apply3DTransform(at)(He-Ht.left,lt-Ht.top);if(P=ct[0],E=ct[1],m){var ar=E1.findPolygonOffset(l,v[0],v[1],m);P+=h+ar[0],E+=d+ar[1]}switch(mt){case\"zoom\":g.clickFn=Pe,r||(m?g.moveFn=Be:g.moveFn=ke,g.doneFn=Le,ge(ce,He,lt));break;case\"select\":case\"lasso\":MQt(ce,He,lt,g,mt);break}},w9.init(g)};Nd.updateRadialDrag=function(e,t,r){var n=this,i=n.gd,a=n.layers,o=n.radius,s=n.innerRadius,l=n.cx,u=n.cy,c=n.radialAxis,f=Nx.radialDragBoxSize,h=f/2;if(!c.visible)return;var d=Ux(n.radialAxisAngle),v=c._rl,m=v[0],b=v[1],p=v[r],k=.75*(v[1]-v[0])/(1-n.getHole(t))/o,M,T,L;r?(M=l+(o+h)*Math.cos(d),T=u-(o+h)*Math.sin(d),L=\"radialdrag\"):(M=l+(s-h)*Math.cos(d),T=u-(s-h)*Math.sin(d),L=\"radialdrag-inner\");var x=M1.makeRectDragger(a,L,\"crosshair\",-h,-h,f,f),C={element:x,gd:i};e.dragmode===!1&&(C.dragmode=!1),wC(Cw.select(x),c.visible&&s<o,{transform:xd(M,T)});var S,g,P;function E(Z,j){if(S)S(Z,j);else{var N=[Z,-j],H=[Math.cos(d),Math.sin(d)],re=Math.abs(Xc.dot(N,H)/Math.sqrt(Xc.dot(N,N)));isNaN(re)||(S=re<.5?V:G)}var ae={};z(ae),i.emit(\"plotly_relayouting\",ae)}function z(Z){g!==null?Z[n.id+\".radialaxis.angle\"]=g:P!==null&&(Z[n.id+\".radialaxis.range[\"+r+\"]\"]=P)}function 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Otr=Id().getSubplotCalcData,Btr=Pr().counterRegex,Ntr=aQ(),zQe=pQ(),qQe=zQe.attr,Rw=zQe.name,FQe=Btr(Rw),OQe={};OQe[qQe]={valType:\"subplotid\",dflt:Rw,editType:\"calc\"};function Utr(e){for(var t=e._fullLayout,r=e.calcdata,n=t._subplots[Rw],i=0;i<n.length;i++){var a=n[i],o=Otr(r,Rw,a),s=t[a]._subplot;s||(s=Ntr(e,a,!0),t[a]._subplot=s),s.plot(o,t,e._promises)}}function Vtr(e,t,r,n){for(var i=n._subplots[Rw]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;if(!t[o]&&s){s.framework.remove();for(var l in s.clipPaths)s.clipPaths[l].remove()}}}BQe.exports={attr:qQe,name:Rw,idRoot:Rw,idRegex:FQe,attrRegex:FQe,attributes:OQe,layoutAttributes:gQ(),supplyLayoutDefaults:DQe(),plot:Utr,clean:Vtr,toSVG:mh().toSVG}});var yQ=ye((nTr,VQe)=>{\"use 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jQe=ye((aTr,HQe)=>{\"use strict\";var z9=Pr(),lS=Ru(),Xtr=$p(),Ztr=D0(),GQe=fT(),Ytr=F0(),Ktr=Fg(),Jtr=Pm().PTS_LINESONLY,$tr=yQ();HQe.exports=function(t,r,n,i){function a(l,u){return z9.coerce(t,r,$tr,l,u)}var o=Qtr(t,r,i,a);if(!o){r.visible=!1;return}a(\"mode\",o<Jtr?\"lines+markers\":\"lines\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\")),lS.hasMarkers(r)&&Xtr(t,r,n,i,a,{gradient:!0}),lS.hasLines(r)&&(Ztr(t,r,n,i,a,{backoff:!0}),GQe(t,r,a),a(\"connectgaps\")),lS.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),Ytr(t,r,i,a));var s=[];(lS.hasMarkers(r)||lS.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),s.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(Ktr(t,r,n,a),lS.hasLines(r)||GQe(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&s.push(\"fills\"),a(\"hoveron\",s.join(\"+\")||\"points\"),z9.coerceSelectionMarkerOpacity(r,a)};function Qtr(e,t,r,n){var i=n(\"real\"),a=n(\"imag\"),o;return 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i=r.layers.frontplot.select(\"g.scatterlayer\"),a=r.xaxis,o=r.yaxis,s={xaxis:a,yaxis:o,plot:r.framework,layerClipId:r._hasClipOnAxisFalse?r.clipIds.forTraces:null},l=0;l<n.length;l++)for(var u=n[l],c=0;c<u.length;c++){c===0&&(u[0].trace._xA=a,u[0].trace._yA=o);var f=u[c],h=f.real;if(h===$Qe)f.x=f.y=$Qe;else{var d=srr([h,f.imag]);f.x=d[0],f.y=d[1]}}arr(t,s,n,i)}});var iet=ye((uTr,ret)=>{\"use strict\";var lrr=bT();function urr(e,t,r,n){var i=lrr(e,t,r,n);if(!(!i||i[0].index===!1)){var a=i[0];if(a.index===void 0)return i;var o=e.subplot,s=a.cd[a.index],l=a.trace;if(o.isPtInside(s))return a.xLabelVal=void 0,a.yLabelVal=void 0,tet(s,l,o,a),a.hovertemplate=l.hovertemplate,i}}function tet(e,t,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle=\"real\",a._hovertitle=\"imag\";var o={};o[t.subplot]={_subplot:r};var s=t._module.formatLabels(e,t,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=e.hi||t.hoverinfo,u=[];function c(h,d){u.push(h._hovertitle+\": 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t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+q9(Math.abs(this.year()),4)+\"-\"+q9(this.month(),2)+\"-\"+q9(this.day(),2)}});function xQ(){this.shortYearCutoff=\"+10\"}O9(xQ.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new _Q(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear);return 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a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);return Gs.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Gs.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Gs.local.differentCalendars||Gs.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function bQ(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}bQ.prototype=new xQ;O9(bQ.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Gs.local.invalidMonth||Gs.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Gs=cet.exports=new uet;Gs.cdate=_Q;Gs.baseCalendar=xQ;Gs.calendars.gregorian=bQ});var fet=ye(()=>{var wQ=Nh(),Ud=kv();wQ(Ud.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"});Ud.local=Ud.regionalOptions[\"\"];wQ(Ud.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});wQ(Ud.baseCalendar.prototype,{UNIX_EPOCH:Ud.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:1440*60,TICKS_EPOCH:Ud.instance().jdEpoch,TICKS_PER_DAY:1440*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw Ud.local.invalidFormat||Ud.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(T,L){for(var x=1;M+x<e.length&&e.charAt(M+x)===T;)x++;return M+=x-1,Math.floor(x/(L||1))>1},c=function(T,L,x,C){var S=\"\"+L;if(u(T,C))for(;S.length<x;)S=\"0\"+S;return S},f=function(T,L,x,C){return u(T)?C[L]:x[L]},h=this,d=function(T){return typeof a==\"function\"?a.call(h,T,u(\"m\")):b(c(\"m\",T.month(),2))},v=function(T,L){return L?typeof s==\"function\"?s.call(h,T):s[T.month()-h.minMonth]:typeof o==\"function\"?o.call(h,T):o[T.month()-h.minMonth]},m=this.local.digits,b=function(T){return r.localNumbers&&m?m(T):T},p=\"\",k=!1,M=0;M<e.length;M++)if(k)e.charAt(M)===\"'\"&&!u(\"'\")?k=!1:p+=e.charAt(M);else switch(e.charAt(M)){case\"d\":p+=b(c(\"d\",t.day(),2));break;case\"D\":p+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":p+=c(\"o\",t.dayOfYear(),3);break;case\"w\":p+=c(\"w\",t.weekOfYear(),2);break;case\"m\":p+=d(t);break;case\"M\":p+=v(t,u(\"M\"));break;case\"y\":p+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),p+=t.formatYear();break;case\"J\":p+=t.toJD();break;case\"@\":p+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":p+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?p+=\"'\":k=!0;break;default:p+=e.charAt(M)}return p},parseDate:function(e,t,r){if(t==null)throw Ud.local.invalidArguments||Ud.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,m=!1,b=!1,p=function(z,q){for(var V=1;g+V<e.length&&e.charAt(g+V)===z;)V++;return g+=V-1,Math.floor(V/(q||1))>1},k=function(z,q){var V=p(z,q),G=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(z)+1],Z=new RegExp(\"^-?\\\\d{1,\"+G+\"}\"),j=t.substring(S).match(Z);if(!j)throw(Ud.local.missingNumberAt||Ud.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,S);return S+=j[0].length,parseInt(j[0],10)},M=this,T=function(){if(typeof s==\"function\"){p(\"m\");var z=s.call(M,t.substring(S));return S+=z.length,z}return k(\"m\")},L=function(z,q,V,G){for(var Z=p(z,G)?V:q,j=0;j<Z.length;j++)if(t.substr(S,Z[j].length).toLowerCase()===Z[j].toLowerCase())return S+=Z[j].length,j+M.minMonth;throw(Ud.local.unknownNameAt||Ud.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,S)},x=function(){if(typeof u==\"function\"){var z=p(\"M\")?u.call(M,t.substring(S)):l.call(M,t.substring(S));return S+=z.length,z}return L(\"M\",l,u)},C=function(){if(t.charAt(S)!==e.charAt(g))throw(Ud.local.unexpectedLiteralAt||Ud.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,S);S++},S=0,g=0;g<e.length;g++)if(b)e.charAt(g)===\"'\"&&!p(\"'\")?b=!1:C();else switch(e.charAt(g)){case\"d\":d=k(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=k(\"o\");break;case\"w\":k(\"w\");break;case\"m\":h=T();break;case\"M\":h=x();break;case\"y\":var P=g;m=!p(\"y\",2),g=P,f=k(\"y\",2);break;case\"Y\":f=k(\"Y\",2);break;case\"J\":c=k(\"J\")+.5,t.charAt(S)===\".\"&&(S++,k(\"J\"));break;case\"@\":c=k(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=k(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":S=t.length;break;case\"'\":p(\"'\")?C():b=!0;break;default:C()}if(S<t.length)throw Ud.local.unexpectedText||Ud.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&m&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var E=this.daysInMonth(f,h);d>E;E=this.daysInMonth(f,h))h++,d-=E}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var l=(s.match(/^c/)&&r?r.newDate():null)||a.today(),u=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,c=u.exec(s);c;)l.add(parseInt(c[1],10),c[2]||\"d\"),c=u.exec(s);return l};return t=t?t.newDate():null,e=e==null?t:typeof e==\"string\"?o(e):typeof e==\"number\"?isNaN(e)||e===1/0||e===-1/0?t:a.today().add(e,\"d\"):a.newDate(e),e}})});var het=ye(()=>{var jx=kv(),crr=Nh(),TQ=jx.instance();function B9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}B9.prototype=new jx.baseCalendar;crr(B9.prototype,{name:\"Chinese\",jdEpoch:17214255e-1,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(e,t){if(typeof e==\"string\"){var r=e.match(hrr);return r?r[0]:\"\"}var n=this._validateYear(e),i=e.month(),a=\"\"+this.toChineseMonth(n,i);return t&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(e){if(typeof e==\"string\"){var t=e.match(drr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\\u6708\",\"\\u4E8C\\u6708\",\"\\u4E09\\u6708\",\"\\u56DB\\u6708\",\"\\u4E94\\u6708\",\"\\u516D\\u6708\",\"\\u4E03\\u6708\",\"\\u516B\\u6708\",\"\\u4E5D\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4E00\\u6708\",\"\\u5341\\u4E8C\\u6708\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},monthNamesShort:function(e){if(typeof e==\"string\"){var t=e.match(vrr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},parseMonth:function(e,t){e=this._validateYear(e);var r=parseInt(t),n;if(isNaN(r))t[0]===\"\\u95F0\"&&(n=!0,t=t.substring(1)),t[t.length-1]===\"\\u6708\"&&(t=t.substring(0,t.length-1)),r=1+[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"].indexOf(t);else{var i=t[t.length-1];n=i===\"i\"||i===\"I\"}var a=this.toMonthIndex(e,r,n);return a},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(e,t){if(e.year&&(e=e.year()),typeof e!=\"number\"||e<1888||e>2111)throw t.replace(/\\{0\\}/,this.local.name);return e},toMonthIndex:function(e,t,r){var n=this.intercalaryMonth(e),i=r&&t!==n;if(i||t<1||t>12)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a;return n?!r&&t<=n?a=t-1:a=t:a=t-1,a},toChineseMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e),n=r?12:11;if(t<0||t>n)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var i;return r?t<r?i=t+1:i=t:i=t+1,i},intercalaryMonth:function(e){e=this._validateYear(e);var t=Wx[e-Wx[0]],r=t>>13;return r},isIntercalaryMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e);return!!r&&r===t},leapYear:function(e){return this.intercalaryMonth(e)!==0},weekOfYear:function(e,t,r){var n=this._validateYear(e,jx.local.invalidyear),i=Xx[n-Xx[0]],a=i>>9&4095,o=i>>5&15,s=i&31,l;l=TQ.newDate(a,o,s),l.add(4-(l.dayOfWeek()||7),\"d\");var u=this.toJD(e,t,r)-l.toJD();return 1+Math.floor(u/7)},monthsInYear:function(e){return this.leapYear(e)?13:12},daysInMonth:function(e,t){e.year&&(t=e.month(),e=e.year()),e=this._validateYear(e);var r=Wx[e-Wx[0]],n=r>>13,i=n?12:11;if(t>i)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a=r&1<<12-t?30:29;return a},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,a,r,jx.local.invalidDate);e=this._validateYear(n.year()),t=n.month(),r=n.day();var i=this.isIntercalaryMonth(e,t),a=this.toChineseMonth(e,t),o=grr(e,a,r,i);return TQ.toJD(o.year,o.month,o.day)},fromJD:function(e){var t=TQ.fromJD(e),r=prr(t.year(),t.month(),t.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(e){var t=e.match(frr),r=this._validateYear(+t[1]),n=+t[2],i=!!t[3],a=this.toMonthIndex(r,n,i),o=+t[4];return this.newDate(r,a,o)},add:function(e,t,r){var n=e.year(),i=e.month(),a=this.isIntercalaryMonth(n,i),o=this.toChineseMonth(n,i),s=Object.getPrototypeOf(B9.prototype).add.call(this,e,t,r);if(r===\"y\"){var l=s.year(),u=s.month(),c=this.isIntercalaryMonth(l,o),f=a&&c?this.toMonthIndex(l,o,!0):this.toMonthIndex(l,o,!1);f!==u&&s.month(f)}return s}});var frr=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,hrr=/^\\d?\\d[iI]?/m,drr=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?\u6708/m,vrr=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?/m;jx.calendars.chinese=B9;var 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prr(e,t,r,n){var i,a;if(typeof e==\"object\")i=e,a=t||{};else{var o=typeof e==\"number\"&&e>=1888&&e<=2111;if(!o)throw new Error(\"Solar year outside range 1888-2111\");var s=typeof t==\"number\"&&t>=1&&t<=12;if(!s)throw new Error(\"Solar month outside range 1 - 12\");var l=typeof r==\"number\"&&r>=1&&r<=31;if(!l)throw new Error(\"Solar day outside range 1 - 31\");i={year:e,month:t,day:r},a=n||{}}var u=Xx[i.year-Xx[0]],c=i.year<<9|i.month<<5|i.day;a.year=c>=u?i.year:i.year-1,u=Xx[a.year-Xx[0]];var f=u>>9&4095,h=u>>5&15,d=u&31,v,m=new Date(f,h-1,d),b=new Date(i.year,i.month-1,i.day);v=Math.round((b-m)/(24*3600*1e3));var p=Wx[a.year-Wx[0]],k;for(k=0;k<13;k++){var M=p&1<<12-k?30:29;if(v<M)break;v-=M}var T=p>>13;return!T||k<T?(a.isIntercalary=!1,a.month=1+k):k===T?(a.isIntercalary=!0,a.month=k):(a.isIntercalary=!1,a.month=k),a.day=1+v,a}function grr(e,t,r,n,i){var a,o;if(typeof e==\"object\")o=e,a=t||{};else{var s=typeof e==\"number\"&&e>=1888&&e<=2111;if(!s)throw new Error(\"Lunar year 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this._validate(e,this.minMonth,this.minDay,Dw.local.invalidYear||Dw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Dw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Dw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});Dw.calendars.coptic=AQ});var vet=ye(()=>{var k1=kv(),yrr=Nh();function SQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}SQ.prototype=new k1.baseCalendar;yrr(SQ.prototype,{name:\"Discworld\",jdEpoch:17214255e-1,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),!1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),13},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),400},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,k1.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return(n.day()+1)%8},weekDay:function(e,t,r){var n=this.dayOfWeek(e,t,r);return n>=2&&n<=6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return{century:_rr[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var _rr={20:\"Fruitbat\",21:\"Anchovy\"};k1.calendars.discworld=SQ});var pet=ye(()=>{var Fw=kv(),xrr=Nh();function MQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}MQ.prototype=new Fw.baseCalendar;xrr(MQ.prototype,{name:\"Ethiopian\",jdEpoch:17242205e-1,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Fw.local.invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===3||r%4===-1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Fw.local.invalidYear||Fw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Fw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Fw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});Fw.calendars.ethiopian=MQ});var get=ye(()=>{var Zx=kv(),brr=Nh();function EQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}EQ.prototype=new Zx.baseCalendar;brr(EQ.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,N9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,Zx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&N9(this.daysInYear(e),10)===5?30:t===9&&N9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,Zx.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(e,t,r){var n=this._validate(e,t,r,Zx.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e<=0?e+1:e,a=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(t<7){for(var o=7;o<=this.monthsInYear(e);o++)a+=this.daysInMonth(e,o);for(var o=1;o<t;o++)a+=this.daysInMonth(e,o)}else for(var o=7;o<t;o++)a+=this.daysInMonth(e,o);return a},_delay1:function(e){var t=Math.floor((235*e-234)/19),r=12084+13753*t,n=t*29+Math.floor(r/25920);return N9(3*(n+1),7)<3&&n++,n},_delay2:function(e){var t=this._delay1(e-1),r=this._delay1(e),n=this._delay1(e+1);return n-r===356?2:r-t===382?1:0},fromJD:function(e){e=Math.floor(e)+.5;for(var t=Math.floor((e-this.jdEpoch)*98496/35975351)-1;e>=this.toJD(t===-1?1:t+1,7,1);)t++;for(var r=e<this.toJD(t,1,1)?7:1;e>this.toJD(t,r,this.daysInMonth(t,r));)r++;var n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});function N9(e,t){return e-t*Math.floor(e/t)}Zx.calendars.hebrew=EQ});var met=ye(()=>{var AC=kv(),wrr=Nh();function kQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}kQ.prototype=new AC.baseCalendar;wrr(kQ.prototype,{name:\"Islamic\",jdEpoch:19484395e-1,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012Bs\",\"Yawm al-jum'a\",\"Yawm 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});AC.calendars.islamic=kQ});var yet=ye(()=>{var SC=kv(),Trr=Nh();function CQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}CQ.prototype=new SC.baseCalendar;Trr(CQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,SC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,SC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,SC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});SC.calendars.julian=CQ});var xet=ye(()=>{var fg=kv(),Arr=Nh();function PQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}PQ.prototype=new fg.baseCalendar;Arr(PQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,fg.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,fg.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,fg.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=LQ(e+8+340,365);return[Math.floor(t/20)+1,LQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[_et(e+20,20),_et(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function LQ(e,t){return e-t*Math.floor(e/t)}function _et(e,t){return LQ(e-1,t)+1}fg.calendars.mayan=PQ});var wet=ye(()=>{var zw=kv(),Srr=Nh();function IQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}IQ.prototype=new zw.baseCalendar;var bet=zw.instance(\"gregorian\");Srr(IQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,zw.local.invalidYear||zw.regionalOptions[\"\"].invalidYear);return bet.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,zw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,zw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+bet.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});zw.calendars.nanakshahi=IQ});var Tet=ye(()=>{var qw=kv(),Mrr=Nh();function RQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}RQ.prototype=new qw.baseCalendar;Mrr(RQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(e){return this.daysInYear(e)!==this.daysPerYear},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qw.local.invalidYear);if(e=t.year(),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\")return this.daysPerYear;for(var r=0,n=this.minMonth;n<=12;n++)r+=this.NEPALI_CALENDAR_DATA[e][n];return r},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qw.local.invalidMonth),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\"?this.daysPerMonth[t-1]:this.NEPALI_CALENDAR_DATA[e][t]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},toJD:function(e,t,r){var n=this._validate(e,t,r,qw.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=qw.instance(),a=0,o=t,s=e;this._createMissingCalendarData(e);var l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=qw.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)o++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof this.NEPALI_CALENDAR_DATA[r]==\"undefined\"&&(this.NEPALI_CALENDAR_DATA[r]=t)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,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Aet=ye(()=>{var uS=kv(),Err=Nh();function V9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}function U9(e){var t=e-475;e<0&&t++;var r=.242197,n=r*t,i=r*(t+1),a=n-Math.floor(n),o=i-Math.floor(i);return a>o}V9.prototype=new uS.baseCalendar;Err(V9.prototype,{name:\"Persian\",jdEpoch:19483205e-1,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Dey\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Dey\",\"Bah\",\"Esf\"],dayNames:[\"Yekshanbeh\",\"Doshanbeh\",\"Seshanbeh\",\"Chah\\u0101rshanbeh\",\"Panjshanbeh\",\"Jom'eh\",\"Shanbeh\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Cha\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,uS.local.invalidYear);return U9(t.year())},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,uS.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,uS.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=0;if(e>0)for(var a=1;a<e;a++)U9(a)&&i++;else if(e<0)for(var a=e;a<0;a++)U9(a)&&i--;return r+(t<=7?(t-1)*31:(t-1)*30+6)+(e>0?e-1:e)*365+i+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=475+(e-this.toJD(475,1,1))/365.242197,r=Math.floor(t);r<=0&&r--,e>this.toJD(r,12,U9(r)?30:29)&&(r++,r===0&&r++);var n=e-this.toJD(r,1,1)+1,i=n<=186?Math.ceil(n/31):Math.ceil((n-6)/30),a=e-this.toJD(r,i,1)+1;return this.newDate(r,i,a)}});uS.calendars.persian=V9;uS.calendars.jalali=V9});var Met=ye(()=>{var Ow=kv(),krr=Nh(),G9=Ow.instance();function DQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}DQ.prototype=new Ow.baseCalendar;krr(DQ.prototype,{name:\"Taiwan\",jdEpoch:24194025e-1,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Ow.local.invalidYear),r=this._t2gYear(t.year());return G9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Ow.local.invalidYear),i=this._t2gYear(n.year());return G9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Ow.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Ow.local.invalidDate),i=this._t2gYear(n.year());return G9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=G9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Ow.calendars.taiwan=DQ});var Eet=ye(()=>{var Bw=kv(),Crr=Nh(),H9=Bw.instance();function FQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}FQ.prototype=new Bw.baseCalendar;Crr(FQ.prototype,{name:\"Thai\",jdEpoch:15230985e-1,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Bw.local.invalidYear),r=this._t2gYear(t.year());return H9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Bw.local.invalidYear),i=this._t2gYear(n.year());return H9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Bw.local.invalidDate),i=this._t2gYear(n.year());return H9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=H9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Bw.calendars.thai=FQ});var ket=ye(()=>{var Nw=kv(),Lrr=Nh();function zQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}zQ.prototype=new Nw.baseCalendar;Lrr(zQ.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012Bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Nw.local.invalidYear);return this.daysInYear(t.year())===355},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Nw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Yx.length;a++){if(Yx[a]>n)return Yx[i]-Yx[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Nw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Yx[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Yx.length&&!(Yx[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Yx[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Nw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Nw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Nw.calendars.ummalqura=zQ;var 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Let=ye((GTr,Cet)=>{\"use strict\";Cet.exports=kv();fet();het();det();vet();pet();get();met();yet();xet();wet();Tet();Aet();Met();Eet();ket()});var qet=ye((HTr,zet)=>{\"use strict\";var Iet=Let(),MC=Pr(),Ret=fs(),Prr=Ret.EPOCHJD,Irr=Ret.ONEDAY,BQ={valType:\"enumerated\",values:MC.sortObjectKeys(Iet.calendars),editType:\"calc\",dflt:\"gregorian\"},Det=function(e,t,r,n){var i={};return i[r]=BQ,MC.coerce(e,t,i,r,n)},Rrr=function(e,t,r,n){for(var i=0;i<r.length;i++)Det(e,t,r[i]+\"calendar\",n.calendar)},Drr={chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},Frr={chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},zrr={chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},j9=\"##\",qrr={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:j9,w:j9,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}};function Orr(e,t,r){for(var n=Math.floor((t+.05)/Irr)+Prr,i=Fet(r).fromJD(n),a=0,o,s,l,u,c;(a=e.indexOf(\"%\",a))!==-1;)o=e.charAt(a+1),o===\"0\"||o===\"-\"||o===\"_\"?(l=3,s=e.charAt(a+2),o===\"_\"&&(o=\"-\")):(s=o,o=\"0\",l=2),u=qrr[s],u?(u===j9?c=j9:c=i.formatDate(u[o]),e=e.slice(0,a)+c+e.slice(a+l),a+=c.length):a+=l;return e}var Pet={};function Fet(e){var t=Pet[e];return t||(t=Pet[e]=Iet.instance(e),t)}function EC(e){return MC.extendFlat({},BQ,{description:e})}function NQ(e){return\"Sets the calendar system to use with `\"+e+\"` date data.\"}var OQ={xcalendar:EC(NQ(\"x\"))},hy=MC.extendFlat({},OQ,{ycalendar:EC(NQ(\"y\"))}),qQ=MC.extendFlat({},hy,{zcalendar:EC(NQ(\"z\"))}),cS=EC([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));zet.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:hy,bar:hy,box:hy,heatmap:hy,contour:hy,histogram:hy,histogram2d:hy,histogram2dcontour:hy,scatter3d:qQ,surface:qQ,mesh3d:qQ,scattergl:hy,ohlc:OQ,candlestick:OQ},layout:{calendar:EC([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:cS},yaxis:{calendar:cS},scene:{xaxis:{calendar:cS},yaxis:{calendar:cS},zaxis:{calendar:cS}},polar:{radialaxis:{calendar:cS}}}},layoutAttributes:BQ,handleDefaults:Det,handleTraceDefaults:Rrr,CANONICAL_SUNDAY:Frr,CANONICAL_TICK:Drr,DFLTRANGE:zrr,getCal:Fet,worldCalFmt:Orr}});var Bet=ye((jTr,Oet)=>{\"use strict\";Oet.exports=qet()});var Brr=ye((WTr,Uet)=>{var Net=pye();Net.register([m1e(),n_e(),yxe(),Bxe(),Qxe(),Ybe(),l2e(),K2e(),Swe(),s3e(),Z3e(),oke(),Yke(),N6e(),kLe(),aPe(),CPe(),e8e(),_8e(),q8e(),Y8e(),uRe(),ARe(),NRe(),yFe(),OFe(),tNe(),tUe(),fVe(),qVe(),XGe(),lHe(),IHe(),Hje(),aWe(),CWe(),OXe(),lZe(),GZe(),fKe(),zKe(),iJe(),CJe(),GJe(),V$e(),sQe(),MQe(),set(),Bet()]);Uet.exports=Net});return Brr();})();\n",
+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\n",
+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
+       "/*! Bundled license information:\n",
+       "\n",
+       "native-promise-only/lib/npo.src.js:\n",
+       "  (*! Native Promise Only\n",
+       "      v0.8.1 (c) Kyle Simpson\n",
+       "      MIT License: http://getify.mit-license.org\n",
+       "  *)\n",
+       "\n",
+       "polybooljs/index.js:\n",
+       "  (*\n",
+       "   * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       "   * @license MIT\n",
+       "   * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       "   *)\n",
+       "\n",
+       "ieee754/index.js:\n",
+       "  (*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "buffer/index.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "safe-buffer/index.js:\n",
+       "  (*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "assert/build/internal/util/comparisons.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "object-assign/index.js:\n",
+       "  (*\n",
+       "  object-assign\n",
+       "  (c) Sindre Sorhus\n",
+       "  @license MIT\n",
+       "  *)\n",
+       "\n",
+       "maplibre-gl/dist/maplibre-gl.js:\n",
+       "  (**\n",
+       "   * MapLibre GL JS\n",
+       "   * @license 3-Clause BSD. Full text of license: https://github.com/maplibre/maplibre-gl-js/blob/v4.7.1/LICENSE.txt\n",
+       "   *)\n",
+       "*/\n",
+       "\n",
+       "window.Plotly = Plotly;\n",
+       "return Plotly;\n",
+       "}));</script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import datetime\n",
+    "import logging\n",
+    "import re\n",
+    "\n",
+    "import pandas as pd\n",
+    "import plotly.express as px\n",
+    "from IPython.display import display\n",
+    "\n",
+    "from tradingstrategy.client import Client\n",
+    "from tradeexecutor.utils.notebook import setup_charting_and_output, OutputMode\n",
+    "\n",
+    "client = Client.create_jupyter_client()\n",
+    "setup_charting_and_output(OutputMode.static, image_format='png', width=1500, height=1000)\n",
+    "logger = logging.getLogger('strategy')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "68ed0ade",
+   "metadata": {},
+   "source": [
+    "## Universe definition\n",
+    "\n",
+    "- Use the same Hyperliquid survivor-first vault universe as NB152 so the clean-up stays directly comparable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "94a97e30",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:17.667574Z",
+     "iopub.status.busy": "2026-07-23T19:24:17.667395Z",
+     "iopub.status.idle": "2026-07-23T19:24:17.743112Z",
+     "shell.execute_reply": "2026-07-23T19:24:17.742483Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Chain universe: Lighter\n",
+      "Reserve asset: <USDC at 0x0000000000000000000000000000000000000000>\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradingstrategy.chain import ChainId\n",
+    "from tradeexecutor.state.identifier import AssetIdentifier\n",
+    "\n",
+    "CHAIN_ID = ChainId.lighter\n",
+    "\n",
+    "EXCHANGES = ('uniswap-v2', 'uniswap-v3')\n",
+    "SUPPORTING_PAIRS = [\n",
+    "    (ChainId.arbitrum, 'uniswap-v3', 'WETH', 'USDC', 0.0005),\n",
+    "    (ChainId.ethereum, 'uniswap-v3', 'WETH', 'USDC', 0.0005),\n",
+    "    (ChainId.ethereum, 'uniswap-v3', 'WBTC', 'USDC', 0.003),\n",
+    "]\n",
+    "LENDING_RESERVES = None\n",
+    "# Lighter pools are USDC-denominated with a placeholder zero denomination-token\n",
+    "# address on the synthetic Lighter chain (9998); match the reserve to that so\n",
+    "# deposits need no cross-asset conversion.\n",
+    "PREFERRED_STABLECOIN = AssetIdentifier(\n",
+    "    chain_id=ChainId.lighter.value,\n",
+    "    address='0x0000000000000000000000000000000000000000',\n",
+    "    token_symbol='USDC',\n",
+    "    decimals=6,\n",
+    ")\n",
+    "ALLOWED_VAULT_DENOMINATION_TOKENS = {'USDC', 'USDT', 'USDC.e', 'crvUSD', 'USDT0', 'USD\u20ae0', 'USDt', 'USDS'}\n",
+    "\n",
+    "print(f'Chain universe: {CHAIN_ID.get_name()}')\n",
+    "print(f'Reserve asset: {PREFERRED_STABLECOIN}')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a872eb77",
+   "metadata": {},
+   "source": [
+    "## Parameters\n",
+    "\n",
+    "- Keep the strategy parameters identical to `02-backtest-until-2026-07-09.ipynb`, except reduce initial capital to `25,000 USD`.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ffd9c402",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:17.772371Z",
+     "iopub.status.busy": "2026-07-23T19:24:17.771861Z",
+     "iopub.status.idle": "2026-07-23T19:24:19.658768Z",
+     "shell.execute_reply": "2026-07-23T19:24:19.658083Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from tradeexecutor.strategy.cycle import CycleDuration\n",
+    "from tradeexecutor.strategy.default_routing_options import TradeRouting\n",
+    "from tradeexecutor.strategy.parameters import StrategyParameters\n",
+    "from skopt.space import Categorical\n",
+    "from tradingstrategy.timebucket import TimeBucket\n",
+    "\n",
+    "\n",
+    "class Parameters:\n",
+    "    #: Notebook identifier for the Lighter equal vs inverse-vol baseline comparison.\n",
+    "    id = '04-backtest-equal-vs-inverse-vol-baselines'\n",
+    "\n",
+    "    #: Daily candles, matching the Hyperliquid baseline this variant is based on.\n",
+    "    candle_time_bucket = TimeBucket.d1\n",
+    "    #: Daily rebalance cadence is the validated schedule used in NB143 and NB154-NB157.\n",
+    "    cycle_duration = CycleDuration.cycle_1d\n",
+    "    #: Lighter (synthetic chain 9998) is the primary chain for pools.\n",
+    "    chain_id = CHAIN_ID\n",
+    "    #: Lighter is the primary execution chain for these pools.\n",
+    "    primary_chain_id = CHAIN_ID\n",
+    "    #: Keep the same exchange set as NB143, NB153, and the live-style test strategy.\n",
+    "    exchanges = EXCHANGES\n",
+    "\n",
+    "    #: Extend the basket-breadth search down to 3- and 4-vault portfolios. Notebook 20\n",
+    "    #: hit a hard lower wall at 5 (Sharpe 1.77 at 5, collapsing for every wider basket),\n",
+    "    #: so the peak may sit below 5. Keep the wider values so the optimiser can re-confirm\n",
+    "    #: they are worse.\n",
+    "    #: Tight basket (both compared strategies use the 5-vault concentrated regime).\n",
+    "    max_assets_in_portfolio = 5\n",
+    "    #: NB143 and NB154-NB157 used 98% target deployment and the corrected waterfall branch held up there.\n",
+    "    #: NB156 showed lower allocation is viable, but not better enough to replace the release default.\n",
+    "    allocation_pct = 0.98\n",
+    "    #: Fixed non-binding (nb23 proved the concentration cap inert for equal weight).\n",
+    "    max_concentration_pct = 0.50\n",
+    "    #: Tight per-pool liquidity cap (nb23 optimum).\n",
+    "    per_position_cap_of_pool_pct = 0.20\n",
+    "    #: Engine hygiene threshold used across the survivor-first notebooks.\n",
+    "    #: Keep it because the alpha model uses it when cleaning up tiny residual positions.\n",
+    "    min_portfolio_weight_pct = 0.005\n",
+    "\n",
+    "    #: Keep the conservative 5 USD minimum deposit floor from the Hyperliquid baseline.\n",
+    "    absolute_min_vault_deposit_usd = 5.0\n",
+    "    #: Preserve the old 50 USD buy threshold at 100k initial cash.\n",
+    "    individual_rebalance_min_threshold_of_initial_cash_pct = 0.0005\n",
+    "    #: Preserve the old 10 USD sell threshold at 100k initial cash.\n",
+    "    sell_rebalance_min_threshold_of_initial_cash_pct = 0.0001\n",
+    "\n",
+    "    #: NB141 selected this wider survivor-first TVL floor and NB143-NB157 validated the allocator on it.\n",
+    "    #: This is intentionally the survivor-first release setting, not the older NB124/NB126 production threshold.\n",
+    "    min_tvl_usd = 7_500\n",
+    "    #: Age gate removed from the search: notebook 19 showed the Sharpe-1.77 optimum\n",
+    "    #: was flat across every min_age value, so it is fixed at 0.0. The composite's\n",
+    "    #: trailing lookback windows (60-360 days) supply the effective maturity gate.\n",
+    "    min_age = 0.0\n",
+    "    #: Selection signal for this variant: a searchable blend of a bounded CAGR\n",
+    "    #: score and a bounded Sharpe score (see the indicators cell). Vaults are\n",
+    "    #: ranked by this composite, then the selected basket is equal-weighted.\n",
+    "    weight_signal = 'cagr_sharpe'\n",
+    "    #: Baseline composite CAGR window (fixed) used for the ranked selection gate.\n",
+    "    cagr_lookback_days = 360\n",
+    "    #: Baseline composite Sharpe window (fixed).\n",
+    "    sharpe_lookback_days = 180\n",
+    "    #: Baseline composite blend (fixed 50/50).\n",
+    "    cagr_weight = 0.50\n",
+    "    #: Hard history floor (days) for the cagr/sharpe/inverse-vol *criteria*: below this a\n",
+    "    #: vault's criterion is NaN, so it cannot be ranked or weighted on <60 days of noise.\n",
+    "    history_floor_days = 60\n",
+    "    #: Age-ramp period retained only for backward-compatible diagnostics; the age\n",
+    "    #: ramp is no longer the selection signal in this variant.\n",
+    "    age_ramp_period = 0.875\n",
+    "    #: NB07's selected churn stabiliser; keep eligible incumbents for their first three days.\n",
+    "    minimum_hold_days = 3\n",
+    "\n",
+    "    #: August 2025 remains the canonical mature-universe start used by the release branch.\n",
+    "    backtest_start = datetime.datetime(2025, 8, 1)\n",
+    "    #: Exclusive end boundary; includes the completed daily cycle for yesterday, 2026-07-09.\n",
+    "    backtest_end = datetime.datetime(2026, 7, 10)\n",
+    "    #: Smaller bankroll for testing release-candidate behaviour at 25,000 USD initial capital.\n",
+    "    initial_cash = 25_000\n",
+    "    #: Derived at class creation time from the configured initial cash and the 5 USD hard floor.\n",
+    "    individual_rebalance_min_threshold_usd = max(\n",
+    "        absolute_min_vault_deposit_usd,\n",
+    "        initial_cash * individual_rebalance_min_threshold_of_initial_cash_pct,\n",
+    "    )\n",
+    "    #: Derived at class creation time from the configured initial cash and the 5 USD hard floor.\n",
+    "    sell_rebalance_min_threshold_usd = max(\n",
+    "        absolute_min_vault_deposit_usd,\n",
+    "        initial_cash * sell_rebalance_min_threshold_of_initial_cash_pct,\n",
+    "    )\n",
+    "\n",
+    "    #: Optimiser runs do not model managed yield.\n",
+    "    use_managed_yield = False\n",
+    "\n",
+    "    #: Default routing is still required by the strategy runtime even though it is not the alpha source.\n",
+    "    routing = TradeRouting.default\n",
+    "    #: Set deliberately high so live and notebook indicator calculations use effectively all available history.\n",
+    "    #: This is an operational correction to the old 120-day default because `age()` and other history-derived indicators\n",
+    "    #: depend on the first available data point and would be silently biased by a truncated lookback window.\n",
+    "    required_history_period = datetime.timedelta(days=365 * 20)\n",
+    "    #: Keep the same live-style slippage assumption as NB153 and `hyper-ai-test.py`.\n",
+    "    slippage_tolerance_pct = 0.0060\n",
+    "    #: Assume no liquidity if there is a gap in TVL data.\n",
+    "    assummed_liquidity_when_data_missings_usd = 0.01\n",
+    "\n",
+    "\n",
+    "parameters = StrategyParameters.from_class(Parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9812a88c",
+   "metadata": {},
+   "source": [
+    "## Trading universe\n",
+    "\n",
+    "- Build the tradable supporting-pair and Hyperliquid vault universe used by the backtest."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "464464ac",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:19.685688Z",
+     "iopub.status.busy": "2026-07-23T19:24:19.685326Z",
+     "iopub.status.idle": "2026-07-23T19:24:28.467163Z",
+     "shell.execute_reply": "2026-07-23T19:24:28.465951Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Preparing trading universe on chain Lighter\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "We have total 392220 pairs in dataset and going to use 3 pairs for the strategy\n",
+      "Lighter universe fingerprint: c3f8a8e2\n",
+      "Loaded 27 cached Lighter vaults (lighter-tvl7500-topall-age0.0-sort1Y-nobeta-curc3f8a8e2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded 27 vaults from remote vault metadata, source vaults count: 27\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Loading TVL/liquidity data for 3 pairs:   0%|          | 0/3 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Loading TVL/liquidity data for 3 pairs: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 3/3 [00:00<00:00, 59.34it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Results limited to first 75 entries\n",
+      "Head (5 rows)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>base</th>\n",
+       "      <th>quote</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fee %</th>\n",
+       "      <th>price</th>\n",
+       "      <th>first_price_at</th>\n",
+       "      <th>last_price_at</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>tvl</th>\n",
+       "      <th>tvl_at</th>\n",
+       "      <th>tax</th>\n",
+       "      <th>tokensniffer_risk_score</th>\n",
+       "      <th>token_risk_score</th>\n",
+       "      <th>token_risk_flags</th>\n",
+       "      <th>pfee</th>\n",
+       "      <th>mfee</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>275501718</th>\n",
+       "      <td>Algorithmi</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-09-12 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>12,939</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>279050396</th>\n",
+       "      <td>Alleged Al</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-01-03 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>502,108</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>25.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>272825051</th>\n",
+       "      <td>BTC vs ALT</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-10-08 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>412,433</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>272557601</th>\n",
+       "      <td>Candle Eff</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-05-21 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>31,034</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>272347260</th>\n",
+       "      <td>Candle Eff</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>10,345</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tail (5 rows)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>base</th>\n",
+       "      <th>quote</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fee %</th>\n",
+       "      <th>price</th>\n",
+       "      <th>first_price_at</th>\n",
+       "      <th>last_price_at</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>tvl</th>\n",
+       "      <th>tvl_at</th>\n",
+       "      <th>tax</th>\n",
+       "      <th>tokensniffer_risk_score</th>\n",
+       "      <th>token_risk_score</th>\n",
+       "      <th>token_risk_flags</th>\n",
+       "      <th>pfee</th>\n",
+       "      <th>mfee</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2697765</th>\n",
+       "      <td>WETH</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>uniswap-v3</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>61812892.80</td>\n",
+       "      <td>185,394,837</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>0.0% / 0.0%</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>274079641</th>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-10-27 00:00:00</td>\n",
+       "      <td>38 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>271547343</th>\n",
+       "      <td>[ Systemic</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-03-05 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>736,727</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>10.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276731477</th>\n",
+       "      <td>pmalt</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-05-07 00:00:00</td>\n",
+       "      <td>13 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>197,725</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>281571296</th>\n",
+       "      <td>pool1</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>979</td>\n",
+       "      <td>13 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "from tradingstrategy.utils.token_filter import filter_for_selected_pairs\n",
+    "from tradeexecutor.analysis.pair import display_strategy_universe\n",
+    "from tradeexecutor.strategy.execution_context import notebook_execution_context\n",
+    "from tradeexecutor.strategy.pandas_trader.trading_universe_input import CreateTradingUniverseInput\n",
+    "from tradeexecutor.strategy.trading_strategy_universe import TradingStrategyUniverse, load_partial_data, load_vault_universe_with_metadata\n",
+    "from tradeexecutor.strategy.universe_model import UniverseOptions\n",
+    "from tradeexecutor.utils.notebook import display_dataframe_with_html, display_head_and_tail\n",
+    "\n",
+    "from tradeexecutor.curator import build_lighter_vault_universe\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "\n",
+    "\n",
+    "def create_trading_universe(\n",
+    "    input: CreateTradingUniverseInput,\n",
+    ") -> TradingStrategyUniverse:\n",
+    "    \"\"\"Create the release-candidate trading universe.\n",
+    "\n",
+    "    Keep the backtest trading window fixed to `Parameters.backtest_start` /\n",
+    "    `Parameters.backtest_end`, but let `required_history_period` extend the\n",
+    "    data-loading window backwards so age and other history-derived indicators\n",
+    "    can see the full pre-backtest history for the selected vaults.\n",
+    "    \"\"\"\n",
+    "    execution_context = input.execution_context\n",
+    "    client = input.client\n",
+    "    timestamp = input.timestamp\n",
+    "    parameters = input.parameters or Parameters\n",
+    "    universe_options = input.universe_options\n",
+    "\n",
+    "    debug_printer = logger.info if execution_context.live_trading else print\n",
+    "\n",
+    "    chain_id = parameters.primary_chain_id\n",
+    "    debug_printer(f'Preparing trading universe on chain {chain_id.get_name()}')\n",
+    "\n",
+    "    all_pairs_df = client.fetch_pair_universe().to_pandas()\n",
+    "    pairs_df = filter_for_selected_pairs(all_pairs_df, SUPPORTING_PAIRS)\n",
+    "    debug_printer(f'We have total {len(all_pairs_df)} pairs in dataset and going to use {len(pairs_df)} pairs for the strategy')\n",
+    "\n",
+    "    # Full, non-survivorship-biased universe: `top_n=None` still applies the\n",
+    "    # 120-vault CAGR cap baked into `CHAIN_CONFIG[9999][\"top_n\"]`, so pass an\n",
+    "    # explicit oversized `top_n` to keep every eligible Hyperliquid vault.\n",
+    "    source_vaults = build_lighter_vault_universe(\n",
+    "        min_tvl=parameters.min_tvl_usd,\n",
+    "        min_age=0.0,\n",
+    "        # Blacklist rules: drop declared single-asset leveraged directional pools.\n",
+    "        exclude_leveraged_beta=True,\n",
+    "    )\n",
+    "    vault_universe = load_vault_universe_with_metadata(client, vaults=source_vaults)\n",
+    "    vault_universe = vault_universe.limit_to_denomination(ALLOWED_VAULT_DENOMINATION_TOKENS, check_all_vaults_found=True)\n",
+    "    debug_printer(f'Loaded {vault_universe.get_vault_count()} vaults from remote vault metadata, source vaults count: {len(source_vaults)}')\n",
+    "\n",
+    "    # `load_partial_data()` now honours `required_history_period` in backtests\n",
+    "    # as a loader-window extension instead of clipping history to the trading window.\n",
+    "    dataset = load_partial_data(\n",
+    "        client=client,\n",
+    "        time_bucket=parameters.candle_time_bucket,\n",
+    "        pairs=pairs_df,\n",
+    "        execution_context=execution_context,\n",
+    "        universe_options=universe_options,\n",
+    "        liquidity=True,\n",
+    "        liquidity_time_bucket=TimeBucket.d1,\n",
+    "        lending_reserves=LENDING_RESERVES,\n",
+    "        vaults=vault_universe,\n",
+    "        vault_history_source=\"trading-strategy-website\",\n",
+    "        check_all_vaults_found=True,\n",
+    "    )\n",
+    "\n",
+    "    return TradingStrategyUniverse.create_from_dataset(\n",
+    "        dataset,\n",
+    "        reserve_asset=PREFERRED_STABLECOIN,\n",
+    "        forward_fill=True,\n",
+    "        forward_fill_until=timestamp,\n",
+    "        primary_chain=parameters.primary_chain_id,\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "universe_input = CreateTradingUniverseInput(\n",
+    "    execution_context=notebook_execution_context,\n",
+    "    client=client,\n",
+    "    timestamp=None,\n",
+    "    parameters=parameters,\n",
+    "    universe_options=UniverseOptions.from_strategy_parameters_class(Parameters, notebook_execution_context),\n",
+    "    execution_model=None,\n",
+    ")\n",
+    "\n",
+    "strategy_universe = create_trading_universe(universe_input)\n",
+    "df = display_strategy_universe(\n",
+    "    strategy_universe,\n",
+    "    sort_key='base',\n",
+    "    sort_numeric=False,\n",
+    "    limit=75,\n",
+    "    show_token_risk=True,\n",
+    "    show_tokensniffer=True,\n",
+    ")\n",
+    "display_head_and_tail(df, head_rows=5, tail_rows=5)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e694506e",
+   "metadata": {},
+   "source": [
+    "## Indicators\n",
+    "\n",
+    "- Define the same inclusion and `age_ramp` indicators used by the parent notebook."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ce55b638",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:28.514175Z",
+     "iopub.status.busy": "2026-07-23T19:24:28.513958Z",
+     "iopub.status.idle": "2026-07-23T19:24:54.750831Z",
+     "shell.execute_reply": "2026-07-23T19:24:54.749992Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "We have 18 indicators:\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using indicator cache /Users/moo/.cache/indicators/arbitrum-ethereum-lighter_1d_30p1faec510_2021-05-06-2026-07-10_ff_cross_d333daffc\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:   0%|          | 0/308 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:   0%|          | 1/308 [00:11<58:43, 11.48s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:   1%|          | 3/308 [00:14<20:53,  4.11s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:   3%|\u258e         | 8/308 [00:17<07:39,  1.53s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:   5%|\u258d         | 14/308 [00:20<04:33,  1.07it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:   7%|\u258b         | 21/308 [00:22<03:17,  1.46it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  11%|\u2588\u258f        | 35/308 [00:23<01:20,  3.40it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  15%|\u2588\u258d        | 45/308 [00:23<00:49,  5.29it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  19%|\u2588\u2589        | 60/308 [00:23<00:26,  9.23it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  23%|\u2588\u2588\u258e       | 72/308 [00:23<00:17, 13.38it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  28%|\u2588\u2588\u258a       | 87/308 [00:23<00:10, 20.32it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  33%|\u2588\u2588\u2588\u258e      | 102/308 [00:23<00:07, 29.03it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  38%|\u2588\u2588\u2588\u258a      | 118/308 [00:23<00:04, 40.33it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  43%|\u2588\u2588\u2588\u2588\u258e     | 133/308 [00:23<00:03, 52.18it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  48%|\u2588\u2588\u2588\u2588\u258a     | 149/308 [00:23<00:02, 66.75it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  54%|\u2588\u2588\u2588\u2588\u2588\u258e    | 165/308 [00:24<00:01, 81.41it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  59%|\u2588\u2588\u2588\u2588\u2588\u2589    | 181/308 [00:24<00:01, 94.41it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  64%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d   | 197/308 [00:24<00:01, 107.44it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_10447/539167657.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  69%|\u2588\u2588\u2588\u2588\u2588\u2588\u2589   | 212/308 [00:24<00:00, 115.06it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d  | 229/308 [00:24<00:00, 127.08it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes:  79%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  | 242/308 [00:24<00:06,  9.88it/s] "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #2:   0%|          | 0/308 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #2:   3%|\u258e         | 10/308 [00:00<00:03, 91.32it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #2:   8%|\u258a         | 25/308 [00:00<00:02, 117.29it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #2:  13%|\u2588\u258e        | 40/308 [00:00<00:02, 125.98it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #2:  18%|\u2588\u258a        | 55/308 [00:00<00:01, 134.37it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #2:  20%|\u2588\u2588        | 62/308 [00:01<00:04, 55.93it/s] "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #3:   0%|          | 0/308 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #3:   1%|          | 3/308 [00:00<00:23, 12.84it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #3:   1%|          | 3/308 [00:00<00:23, 12.81it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #4:   0%|          | 0/308 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count using 8 processes, dependency group #4:   0%|          | 1/308 [00:00<00:05, 56.35it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradeexecutor.state.identifier import TradingPairIdentifier\n",
+    "from tradeexecutor.state.types import USDollarAmount\n",
+    "from tradeexecutor.strategy.execution_context import ExecutionContext\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator import IndicatorDependencyResolver, IndicatorSource\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator_decorator import IndicatorRegistry\n",
+    "from tradeexecutor.strategy.trading_strategy_universe import TradingStrategyUniverse\n",
+    "from tradeexecutor.analysis.indicator import display_indicators\n",
+    "\n",
+    "indicators = IndicatorRegistry()\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.tvl)\n",
+    "def tvl(\n",
+    "    close: pd.Series,\n",
+    "    execution_context: ExecutionContext,\n",
+    "    timestamp: pd.Timestamp,\n",
+    ") -> pd.Series:\n",
+    "    if execution_context.live_trading:\n",
+    "        from tradingstrategy.utils.forward_fill import forward_fill\n",
+    "\n",
+    "        df = pd.DataFrame({'close': close})\n",
+    "        df_ff = forward_fill(\n",
+    "            df,\n",
+    "            Parameters.candle_time_bucket.to_frequency(),\n",
+    "            columns=('close',),\n",
+    "            forward_fill_until=timestamp,\n",
+    "        )\n",
+    "        return df_ff['close']\n",
+    "\n",
+    "    return close.resample('1h').ffill()\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def age(close: pd.Series) -> pd.Series:\n",
+    "    inception = close.index[0]\n",
+    "    age_years = (close.index - inception) / pd.Timedelta(days=365.25)\n",
+    "    return pd.Series(age_years, index=close.index)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def tvl_inclusion_criteria(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data_pairs_combined(tvl)\n",
+    "    mask = series >= min_tvl_usd\n",
+    "    mask_true_values_only = mask[mask]\n",
+    "    return mask_true_values_only.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def age_inclusion_criteria(\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data_pairs_combined(age)\n",
+    "    mask = series >= min_age\n",
+    "    mask_true_values_only = mask[mask]\n",
+    "    return mask_true_values_only.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.strategy_universe)\n",
+    "def trading_availability_criteria(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    ") -> pd.Series:\n",
+    "    candle_series = strategy_universe.data_universe.candles.df['open']\n",
+    "    return candle_series.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(\n",
+    "    dependencies=[\n",
+    "        tvl_inclusion_criteria,\n",
+    "        trading_availability_criteria,\n",
+    "        age_inclusion_criteria,\n",
+    "    ],\n",
+    "    source=IndicatorSource.strategy_universe,\n",
+    ")\n",
+    "def inclusion_criteria(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    benchmark_pair_ids = {\n",
+    "        strategy_universe.get_pair_by_human_description(desc).internal_id\n",
+    "        for desc in SUPPORTING_PAIRS\n",
+    "    }\n",
+    "\n",
+    "    tvl_series = dependency_resolver.get_indicator_data(\n",
+    "        tvl_inclusion_criteria,\n",
+    "        parameters={'min_tvl_usd': min_tvl_usd},\n",
+    "    )\n",
+    "    trading_availability_series = dependency_resolver.get_indicator_data(trading_availability_criteria)\n",
+    "    age_series = dependency_resolver.get_indicator_data(\n",
+    "        age_inclusion_criteria,\n",
+    "        parameters={'min_age': min_age},\n",
+    "    )\n",
+    "\n",
+    "    df = pd.DataFrame(\n",
+    "        {\n",
+    "            'tvl_pair_ids': tvl_series,\n",
+    "            'trading_availability_pair_ids': trading_availability_series,\n",
+    "            'age_pair_ids': age_series,\n",
+    "        }\n",
+    "    )\n",
+    "    df = df.fillna('').apply(list)\n",
+    "\n",
+    "    def _combine(row):\n",
+    "        final_set = (\n",
+    "            set(row['tvl_pair_ids'])\n",
+    "            & set(row['trading_availability_pair_ids'])\n",
+    "            & set(row['age_pair_ids'])\n",
+    "        )\n",
+    "        return final_set - benchmark_pair_ids\n",
+    "\n",
+    "    union_criteria = df.apply(_combine, axis=1)\n",
+    "    full_index = pd.date_range(\n",
+    "        start=union_criteria.index.min(),\n",
+    "        end=union_criteria.index.max(),\n",
+    "        freq=Parameters.candle_time_bucket.to_frequency(),\n",
+    "    )\n",
+    "    return union_criteria.reindex(full_index, fill_value=[])\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def age_ramp_weight(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    "    age_ramp_period: float = 1.0,\n",
+    ") -> pd.Series:\n",
+    "    vault_age = dependency_resolver.get_indicator_data('age', pair=pair)\n",
+    "    return (vault_age / age_ramp_period).clip(upper=1.0).clip(lower=0.05)\n",
+    "\n",
+    "\n",
+    "#: CAGR of +100% (1.0) or more earns the full CAGR sub-score of 1.0.\n",
+    "CAGR_SCORE_CAP = 1.0\n",
+    "#: Annualised Sharpe of 3.0 or more earns the full Sharpe sub-score of 1.0.\n",
+    "SHARPE_SCORE_CAP = 3.0\n",
+    "#: Daily-return annualisation factor for the rolling Sharpe score.\n",
+    "TRADING_DAYS_PER_YEAR = 365.0\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def cagr_score(close: pd.Series, cagr_lookback_days: int = 180) -> pd.Series:\n",
+    "    \"\"\"Bounded trailing-CAGR sub-score in ``[0, 1]``.\n",
+    "\n",
+    "    Annualise the vault share-price return over the trailing\n",
+    "    ``cagr_lookback_days`` window and map ``0..100%`` CAGR linearly to\n",
+    "    ``0..1``, clipping negative CAGR to ``0`` and CAGR above ``+100%`` to ``1``.\n",
+    "    Timestamps with less than a full window of history are ``NaN``.\n",
+    "    \"\"\"\n",
+    "    lookback = int(cagr_lookback_days)\n",
+    "    ratio = close / close.shift(lookback)\n",
+    "    cagr = ratio.pow(TRADING_DAYS_PER_YEAR / lookback) - 1.0\n",
+    "    return (cagr / CAGR_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def sharpe_score(close: pd.Series, sharpe_lookback_days: int = 180) -> pd.Series:\n",
+    "    \"\"\"Bounded trailing-Sharpe sub-score in ``[0, 1]``.\n",
+    "\n",
+    "    Compute the annualised Sharpe ratio of daily share-price returns over the\n",
+    "    trailing ``sharpe_lookback_days`` window and map ``0..3.0`` Sharpe linearly\n",
+    "    to ``0..1``, clipping negative Sharpe to ``0`` and Sharpe above ``3.0`` to\n",
+    "    ``1``. Timestamps with less than a full window of history are ``NaN``.\n",
+    "    \"\"\"\n",
+    "    lookback = int(sharpe_lookback_days)\n",
+    "    daily_returns = close.pct_change()\n",
+    "    rolling_mean = daily_returns.rolling(lookback, min_periods=lookback).mean()\n",
+    "    rolling_std = daily_returns.rolling(lookback, min_periods=lookback).std()\n",
+    "    sharpe = (rolling_mean / rolling_std.replace(0.0, float(\"nan\"))) * (TRADING_DAYS_PER_YEAR ** 0.5)\n",
+    "    return (sharpe / SHARPE_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define(\n",
+    "    dependencies=(cagr_score, sharpe_score),\n",
+    "    source=IndicatorSource.dependencies_only_per_pair,\n",
+    ")\n",
+    "def cagr_sharpe_weight(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    "    cagr_lookback_days: int = 180,\n",
+    "    sharpe_lookback_days: int = 180,\n",
+    "    cagr_weight: float = 0.5,\n",
+    ") -> pd.Series:\n",
+    "    \"\"\"``cagr_weight x CAGR score + (1 - cagr_weight) x Sharpe score`` composite.\n",
+    "\n",
+    "    Both sub-scores are already bounded to ``[0, 1]`` so the blend is also in\n",
+    "    ``[0, 1]`` for any ``cagr_weight`` in ``[0, 1]``. A vault must have enough\n",
+    "    history to compute *both* sub-scores for the timestamp (i.e.\n",
+    "    ``max(cagr_lookback_days, sharpe_lookback_days)`` days); otherwise the\n",
+    "    composite is ``NaN`` and the decision function treats the vault as an\n",
+    "    unscored, lowest-priority candidate.\n",
+    "    \"\"\"\n",
+    "    cagr_component = dependency_resolver.get_indicator_data(\n",
+    "        \"cagr_score\", pair=pair, parameters={\"cagr_lookback_days\": cagr_lookback_days},\n",
+    "    )\n",
+    "    sharpe_component = dependency_resolver.get_indicator_data(\n",
+    "        \"sharpe_score\", pair=pair, parameters={\"sharpe_lookback_days\": sharpe_lookback_days},\n",
+    "    )\n",
+    "    return cagr_weight * cagr_component + (1.0 - cagr_weight) * sharpe_component\n",
+    "\n",
+    "\n",
+    "#: Fixed trailing window (days) for the weighting/selection criteria. The 60-day hard floor\n",
+    "#: means a vault needs at least 60 daily observations before it gets a criterion value; with\n",
+    "#: fewer than 60 days every criterion is NaN (no two-week-history shortcut).\n",
+    "CRITERION_LOOKBACK_DAYS = 60\n",
+    "#: Floor on daily volatility so the inverse-vol criterion cannot explode for near-flat series.\n",
+    "VOL_FLOOR = 1e-4\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def cagr_criterion(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Bounded 60-day trailing-CAGR criterion in ``[0, 1]``; NaN below 60 days.\"\"\"\n",
+    "    lb = CRITERION_LOOKBACK_DAYS\n",
+    "    ratio = close / close.shift(lb)\n",
+    "    cagr = ratio.pow(TRADING_DAYS_PER_YEAR / lb) - 1.0\n",
+    "    return (cagr / CAGR_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def sharpe_criterion(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Bounded 60-day trailing-Sharpe criterion in ``[0, 1]``; NaN below 60 days.\"\"\"\n",
+    "    lb = CRITERION_LOOKBACK_DAYS\n",
+    "    r = close.pct_change()\n",
+    "    mean = r.rolling(lb, min_periods=lb).mean()\n",
+    "    std = r.rolling(lb, min_periods=lb).std()\n",
+    "    sharpe = (mean / std.replace(0.0, float(\"nan\"))) * (TRADING_DAYS_PER_YEAR ** 0.5)\n",
+    "    return (sharpe / SHARPE_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def inverse_vol_criterion(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Inverse 60-day daily-return volatility (higher = calmer); NaN below 60 days.\n",
+    "\n",
+    "    Left unbounded (unlike the 0-1 scores) because it is only ever used as a relative\n",
+    "    ranking/weight and is normalised downstream; the vol floor keeps it finite.\n",
+    "    \"\"\"\n",
+    "    lb = CRITERION_LOOKBACK_DAYS\n",
+    "    r = close.pct_change()\n",
+    "    vol = r.rolling(lb, min_periods=lb).std()\n",
+    "    return 1.0 / vol.clip(lower=VOL_FLOOR)\n",
+    "\n",
+    "\n",
+    "#: Short (30-day) trailing return used only as an eligibility GATE, not for ranking. It is\n",
+    "#: deliberately faster than the 60-day ranking floor so a vault that has started falling is\n",
+    "#: dropped (and hence sold) before its slow 360/180 composite score decays. NaN below 30 days.\n",
+    "GATE_RETURN_DAYS = 30\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def return_30d(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Raw trailing 30-day return (can be negative); NaN below 30 days.\"\"\"\n",
+    "    return close / close.shift(GATE_RETURN_DAYS) - 1.0\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def all_criteria_included_pair_count(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_tvl_usd\": min_tvl_usd,\n",
+    "            \"min_age\": min_age,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl_inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def tvl_included_pair_count(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"tvl_inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_tvl_usd\": min_tvl_usd,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age_inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def age_included_pair_count(\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"age_inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_age\": min_age,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.strategy_universe)\n",
+    "def trading_pair_count(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    ") -> pd.Series:\n",
+    "    benchmark_pair_ids = {\n",
+    "        strategy_universe.get_pair_by_human_description(desc).internal_id\n",
+    "        for desc in SUPPORTING_PAIRS\n",
+    "    }\n",
+    "    series = strategy_universe.data_universe.candles.df[\"open\"]\n",
+    "    swap_index = series.index.swaplevel(0, 1)\n",
+    "\n",
+    "    seen_pairs = set()\n",
+    "    seen_data = {}\n",
+    "    for timestamp, pair_id in swap_index:\n",
+    "        if pair_id in benchmark_pair_ids:\n",
+    "            continue\n",
+    "        seen_pairs.add(pair_id)\n",
+    "        seen_data[timestamp] = len(seen_pairs)\n",
+    "\n",
+    "    return pd.Series(seen_data.values(), index=list(seen_data.keys()))\n",
+    "\n",
+    "\n",
+    "display_indicators(indicators)\n",
+    "\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator import calculate_and_load_indicators_inline\n",
+    "\n",
+    "# Precompute every indicator once so each weighting trial reuses the same cached panel.\n",
+    "indicator_data = calculate_and_load_indicators_inline(\n",
+    "    strategy_universe=strategy_universe,\n",
+    "    create_indicators=indicators.create_indicators,\n",
+    "    parameters=parameters,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37c2ab0a",
+   "metadata": {},
+   "source": [
+    "# Time range for backtest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e54fd4f2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:54.794027Z",
+     "iopub.status.busy": "2026-07-23T19:24:54.792837Z",
+     "iopub.status.idle": "2026-07-23T19:24:54.796624Z",
+     "shell.execute_reply": "2026-07-23T19:24:54.796136Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time range is 2025-08-01 00:00:00 - 2026-07-10 00:00:00\n"
+     ]
+    }
+   ],
+   "source": [
+    "backtest_start = Parameters.backtest_start\n",
+    "backtest_end = Parameters.backtest_end\n",
+    "print(f'Time range is {backtest_start} - {backtest_end}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8225a402",
+   "metadata": {},
+   "source": [
+    "# Weighting / gate factory\n",
+    "\n",
+    "The same factory as notebook 25 \u2014 selection, weighting, and the momentum gate."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ec882da6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:54.832647Z",
+     "iopub.status.busy": "2026-07-23T19:24:54.832512Z",
+     "iopub.status.idle": "2026-07-23T19:24:54.877063Z",
+     "shell.execute_reply": "2026-07-23T19:24:54.876439Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from tradeexecutor.exchange_account.allocation import (\n",
+    "    calculate_portfolio_target_value,\n",
+    "    get_redeemable_portfolio_capital,\n",
+    ")\n",
+    "from tradeexecutor.state.trade import TradeExecution\n",
+    "from tradeexecutor.statistics.key_metric import (\n",
+    "    calculate_cagr,\n",
+    "    calculate_max_drawdown,\n",
+    "    calculate_sharpe,\n",
+    "    calculate_sortino,\n",
+    ")\n",
+    "from tradeexecutor.strategy.alpha_model import AlphaModel\n",
+    "from tradeexecutor.strategy.execution_context import ExecutionMode\n",
+    "from tradeexecutor.strategy.pandas_trader.strategy_input import StrategyInput\n",
+    "from tradeexecutor.strategy.tvl_size_risk import USDTVLSizeRiskModel\n",
+    "from tradeexecutor.strategy.weighting import weight_equal, weight_passthrouh\n",
+    "from tradeexecutor.utils.dedent import dedent_any\n",
+    "from tradeexecutor.visual.equity_curve import calculate_equity_curve, calculate_returns\n",
+    "from tradeexecutor.curator import is_quarantined\n",
+    "\n",
+    "\n",
+    "def _extract_optional_int(text: str, label: str) -> int:\n",
+    "    match = re.search(rf\"{re.escape(label)}: ([0-9]+)\", text)\n",
+    "    return int(match.group(1)) if match else 0\n",
+    "\n",
+    "\n",
+    "def position_duration_summary(state) -> dict:\n",
+    "    positions = [position for position in state.portfolio.get_all_positions() if not position.is_credit_supply()]\n",
+    "    durations = []\n",
+    "    for position in positions:\n",
+    "        closed_at = position.closed_at if position.closed_at is not None else Parameters.backtest_end\n",
+    "        durations.append((closed_at - position.opened_at).total_seconds() / 86400.0)\n",
+    "    duration_series = pd.Series(durations, dtype='float64')\n",
+    "    return {\n",
+    "        'position_count': len(positions),\n",
+    "        'positions_lt_3d': int((duration_series < 3).sum()),\n",
+    "        'share_positions_lt_3d': float((duration_series < 3).mean()) if len(duration_series) else float('nan'),\n",
+    "        'median_position_days': float(duration_series.median()) if len(duration_series) else float('nan'),\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "def extract_selection_diagnostics_df(state) -> pd.DataFrame:\n",
+    "    rows = []\n",
+    "    for unix_ts, messages in sorted(state.visualisation.messages.items(), key=lambda item: item[0]):\n",
+    "        if not messages:\n",
+    "            continue\n",
+    "        message = '\\n'.join(messages)\n",
+    "        rows.append(\n",
+    "            {\n",
+    "                'timestamp': datetime.datetime.utcfromtimestamp(unix_ts),\n",
+    "                'open_positions': _extract_optional_int(message, 'Open/about to open positions'),\n",
+    "                'candidate_signals_created': _extract_optional_int(message, 'Candidate signals created'),\n",
+    "                'selected_survivor_signals': _extract_optional_int(message, 'Selected survivor signals'),\n",
+    "                'signals_blocked_by_minimum_hold': _extract_optional_int(message, 'Signals blocked by minimum hold'),\n",
+    "            }\n",
+    "        )\n",
+    "    return pd.DataFrame(rows).set_index('timestamp')\n",
+    "\n",
+    "\n",
+    "def minimum_hold_pair_ids(input: StrategyInput, included_pair_ids: set[int]) -> set[int]:\n",
+    "    current_dt = input.timestamp.to_pydatetime() if hasattr(input.timestamp, 'to_pydatetime') else input.timestamp\n",
+    "    threshold = datetime.timedelta(days=input.parameters.minimum_hold_days)\n",
+    "    held = set()\n",
+    "    for position in input.state.portfolio.get_open_positions():\n",
+    "        pair = position.pair\n",
+    "        if pair.is_credit_supply() or current_dt - position.opened_at >= threshold:\n",
+    "            continue\n",
+    "        if pair.internal_id not in included_pair_ids:\n",
+    "            continue\n",
+    "        if is_quarantined(pair.pool_address, input.timestamp) or not input.state.is_good_pair(pair):\n",
+    "            continue\n",
+    "        held.add(pair.internal_id)\n",
+    "    return held\n",
+    "\n",
+    "\n",
+    "#: Map a momentum-gate name to its indicator; the gate excludes (and therefore sells) any\n",
+    "#: vault whose gate value is <= 0, i.e. currently falling / non-positive risk-adjusted return.\n",
+    "GATE_INDICATOR = {\n",
+    "    'none': None,\n",
+    "    'ret30': 'return_30d',        # trailing 30-day return > 0\n",
+    "    'sharpe60': 'sharpe_criterion',  # positive trailing 60-day Sharpe (score > 0)\n",
+    "}\n",
+    "\n",
+    "#: Map a criterion name to the indicator that provides its per-vault value.\n",
+    "CRITERION_INDICATOR = {\n",
+    "    'cagr': 'cagr_criterion',\n",
+    "    'sharpe': 'sharpe_criterion',\n",
+    "    'inverse_vol': 'inverse_vol_criterion',\n",
+    "    'composite': 'cagr_sharpe_weight',\n",
+    "}\n",
+    "\n",
+    "\n",
+    "def _finite_or_none(value):\n",
+    "    \"\"\"Return a float, or None if the indicator value is missing/NaN.\"\"\"\n",
+    "    if value is None:\n",
+    "        return None\n",
+    "    value = float(value)\n",
+    "    return value if value == value else None\n",
+    "\n",
+    "\n",
+    "def make_decide_trades(trial: dict):\n",
+    "    \"\"\"Build a decide_trades closure for one weighting-matrix trial.\n",
+    "\n",
+    "    - ``selection_mode``: 'ranked' (top-N by the composite score) or 'non_ranked'\n",
+    "      (top-N by the weighting criterion itself).\n",
+    "    - ``weighting``: 'equal' (1/N) or 'linear' (weight proportional to the criterion).\n",
+    "    - ``criterion``: 'cagr' | 'sharpe' | 'inverse_vol' | 'composite'.\n",
+    "    - ``require_enough_history``: if True, drop candidates with < history_floor_days of\n",
+    "      history; if False, keep them (their criterion is NaN, so they fall back to a zero\n",
+    "      signal and can only fill an equal-weight basket at the very bottom of the ranking).\n",
+    "    \"\"\"\n",
+    "    selection_mode = trial['selection_mode']\n",
+    "    weighting = trial['weighting']\n",
+    "    criterion_ind = CRITERION_INDICATOR[trial['criterion']]\n",
+    "    require_history = bool(trial['require_enough_history'])\n",
+    "    gate_indicator = GATE_INDICATOR[trial.get('gate', 'none')]\n",
+    "\n",
+    "    def decide_trades(input: StrategyInput) -> list[TradeExecution]:\n",
+    "        parameters = input.parameters\n",
+    "        max_assets_in_portfolio = int(parameters.max_assets_in_portfolio)\n",
+    "        position_manager = input.get_position_manager()\n",
+    "        state = input.state\n",
+    "        timestamp = input.timestamp\n",
+    "        indicators = input.indicators\n",
+    "        strategy_universe = input.strategy_universe\n",
+    "\n",
+    "        portfolio = position_manager.get_current_portfolio()\n",
+    "        equity = portfolio.get_total_equity()\n",
+    "        if input.execution_context.mode == ExecutionMode.backtesting and equity < parameters.initial_cash * 0.10:\n",
+    "            return []\n",
+    "\n",
+    "        min_history_years = parameters.history_floor_days / 365.25\n",
+    "        included_pairs = indicators.get_indicator_value('inclusion_criteria', na_conversion=False)\n",
+    "        included_pairs = [] if included_pairs is None else list(included_pairs)\n",
+    "\n",
+    "        candidates = []\n",
+    "        for pair_id in included_pairs:\n",
+    "            pair = strategy_universe.get_pair_by_id(pair_id)\n",
+    "            if not state.is_good_pair(pair) or is_quarantined(pair.pool_address, timestamp):\n",
+    "                continue\n",
+    "\n",
+    "            age_years = _finite_or_none(indicators.get_indicator_value('age', pair=pair))\n",
+    "            has_history = age_years is not None and age_years >= min_history_years\n",
+    "            if require_history and not has_history:\n",
+    "                continue\n",
+    "\n",
+    "            # Momentum gate: drop (and thus exit) any vault that is currently falling. A held\n",
+    "            # vault failing the gate leaves the candidate set, so the alpha model sells it.\n",
+    "            if gate_indicator is not None:\n",
+    "                gate_value = _finite_or_none(indicators.get_indicator_value(gate_indicator, pair=pair))\n",
+    "                if gate_value is None or gate_value <= 0.0:\n",
+    "                    continue\n",
+    "\n",
+    "            composite = _finite_or_none(indicators.get_indicator_value('cagr_sharpe_weight', pair=pair))\n",
+    "            criterion = _finite_or_none(indicators.get_indicator_value(criterion_ind, pair=pair))\n",
+    "\n",
+    "            # Selection key: composite for ranked, the criterion for non-ranked.\n",
+    "            selection_value = composite if selection_mode == 'ranked' else criterion\n",
+    "            selection_value = selection_value if selection_value is not None else 0.0\n",
+    "            # Weighting value: always the criterion (only used when weighting == 'linear').\n",
+    "            weight_value = criterion if criterion is not None else 0.0\n",
+    "            candidates.append((pair_id, pair, selection_value, weight_value))\n",
+    "\n",
+    "        if not candidates:\n",
+    "            return []\n",
+    "\n",
+    "        ordered = sorted(candidates, key=lambda item: (-item[2], item[0]))\n",
+    "        candidate_ids = {pair_id for pair_id, _p, _s, _w in candidates}\n",
+    "        held_ids = minimum_hold_pair_ids(input, candidate_ids)\n",
+    "        selected_ids = list(sorted(held_ids))\n",
+    "        selected_ids.extend(pair_id for pair_id, _p, _s, _w in ordered if pair_id not in held_ids)\n",
+    "        selected_ids = selected_ids[:max_assets_in_portfolio]\n",
+    "        by_id = {pair_id: (pair, sel, wgt) for pair_id, pair, sel, wgt in candidates}\n",
+    "\n",
+    "        alpha_model = AlphaModel(\n",
+    "            timestamp,\n",
+    "            close_position_weight_epsilon=parameters.min_portfolio_weight_pct,\n",
+    "        )\n",
+    "        for pair_id in selected_ids:\n",
+    "            pair, _sel, wgt = by_id[pair_id]\n",
+    "            # For linear weighting the signal IS the criterion value; for equal weighting the\n",
+    "            # magnitude is irrelevant (weight_equal ignores it) so use 1.0 to clear the threshold.\n",
+    "            alpha_model.set_signal(pair, wgt if weighting == 'linear' else 1.0)\n",
+    "        alpha_model.select_top_signals(count=len(selected_ids))\n",
+    "        alpha_model.assign_weights(method=weight_passthrouh if weighting == 'linear' else weight_equal)\n",
+    "\n",
+    "        portfolio_target_value = calculate_portfolio_target_value(position_manager, parameters.allocation_pct)\n",
+    "        size_risk_model = USDTVLSizeRiskModel(\n",
+    "            pricing_model=input.pricing_model,\n",
+    "            per_position_cap=float(parameters.per_position_cap_of_pool_pct),\n",
+    "        )\n",
+    "        alpha_model.normalise_weights(\n",
+    "            investable_equity=portfolio_target_value,\n",
+    "            size_risk_model=size_risk_model,\n",
+    "            max_weight=float(parameters.max_concentration_pct),\n",
+    "            max_positions=max_assets_in_portfolio,\n",
+    "            waterfall=False,\n",
+    "        )\n",
+    "        alpha_model.update_old_weights(state.portfolio, ignore_credit=False)\n",
+    "        alpha_model.calculate_target_positions(position_manager)\n",
+    "        trades = alpha_model.generate_rebalance_trades_and_triggers(\n",
+    "            position_manager,\n",
+    "            min_trade_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "            individual_rebalance_min_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "            sell_rebalance_min_threshold=parameters.sell_rebalance_min_threshold_usd,\n",
+    "            execution_context=input.execution_context,\n",
+    "        )\n",
+    "        return trades\n",
+    "\n",
+    "    return decide_trades\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a5130cc",
+   "metadata": {},
+   "source": [
+    "# Run both strategies\n",
+    "\n",
+    "Run the two compared configurations at the 5-vault / pool-0.20 tight-cap regime and set up the chart renderers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "ab4bfae9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:24:54.911344Z",
+     "iopub.status.busy": "2026-07-23T19:24:54.910984Z",
+     "iopub.status.idle": "2026-07-23T19:25:06.152071Z",
+     "shell.execute_reply": "2026-07-23T19:25:06.150983Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Equal (C-eq / no gate)         final $22,792  max DD -41.3%\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inverse-vol (C-ivw / ret30 gate) final $24,956  max DD -22.3%\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradeexecutor.backtest.backtest_runner import run_backtest_inline\n",
+    "from tradeexecutor.strategy.cycle import CycleDuration\n",
+    "from tradeexecutor.visual.equity_curve import calculate_equity_curve, calculate_returns\n",
+    "from plotly.graph_objects import Figure\n",
+    "from tradeexecutor.strategy.chart.definition import ChartRegistry, ChartKind, ChartInput\n",
+    "from tradeexecutor.strategy.chart.renderer import ChartBacktestRenderingSetup\n",
+    "from tradeexecutor.strategy.chart.standard.weight import equity_curve_by_asset, weight_allocation_statistics\n",
+    "\n",
+    "#: The two strategies to compare in detail.\n",
+    "STRATEGIES = {\n",
+    "    'Equal (C-eq / no gate)':        dict(selection_mode='ranked', weighting='equal',  criterion='composite',   gate='none',  require_enough_history=True),\n",
+    "    'Inverse-vol (C-ivw / ret30 gate)': dict(selection_mode='ranked', weighting='linear', criterion='inverse_vol', gate='ret30', require_enough_history=True),\n",
+    "}\n",
+    "\n",
+    "states = {}\n",
+    "for name, trial in STRATEGIES.items():\n",
+    "    result = run_backtest_inline(\n",
+    "        name=name,\n",
+    "        engine_version='0.5',\n",
+    "        decide_trades=make_decide_trades(trial),\n",
+    "        indicator_combinations=indicator_data.indicator_combinations,\n",
+    "        cycle_duration=CycleDuration.from_timebucket(parameters.candle_time_bucket),\n",
+    "        client=client,\n",
+    "        universe=strategy_universe,\n",
+    "        parameters=parameters,\n",
+    "        max_workers=1,\n",
+    "        start_at=Parameters.backtest_start,\n",
+    "        end_at=Parameters.backtest_end,\n",
+    "    )\n",
+    "    states[name] = result.state\n",
+    "    curve = calculate_equity_curve(result.state)\n",
+    "    max_dd = float((curve / curve.cummax() - 1.0).min())\n",
+    "    print(f\"{name:30s} final ${curve.iloc[-1]:,.0f}  max DD {max_dd*100:5.1f}%\")\n",
+    "\n",
+    "# Chart renderers (per strategy) for the asset-weight breakdowns.\n",
+    "BENCHMARK_PAIRS = SUPPORTING_PAIRS\n",
+    "charts = ChartRegistry(default_benchmark_pairs=BENCHMARK_PAIRS)\n",
+    "charts.register(equity_curve_by_asset, ChartKind.state_all_pairs)\n",
+    "charts.register(weight_allocation_statistics, ChartKind.state_all_pairs)\n",
+    "\n",
+    "renderers = {\n",
+    "    name: ChartBacktestRenderingSetup(\n",
+    "        registry=charts,\n",
+    "        strategy_input_indicators=indicator_data,\n",
+    "        state=st,\n",
+    "        backtest_start_at=Parameters.backtest_start,\n",
+    "        backtest_end_at=Parameters.backtest_end,\n",
+    "    )\n",
+    "    for name, st in states.items()\n",
+    "}\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fdb2006",
+   "metadata": {},
+   "source": [
+    "# Performance metrics \u2014 side by side"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "564c5d32",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:25:06.183311Z",
+     "iopub.status.busy": "2026-07-23T19:25:06.182992Z",
+     "iopub.status.idle": "2026-07-23T19:25:09.655627Z",
+     "shell.execute_reply": "2026-07-23T19:25:09.655095Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Equal (C-eq / no gate)</th>\n",
+       "      <th>Inverse-vol (C-ivw / ret30 gate)</th>\n",
+       "      <th>BTC (buy &amp; hold)</th>\n",
+       "      <th>ETH (buy &amp; hold)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Start Period</th>\n",
+       "      <td>2025-08-01</td>\n",
+       "      <td>2025-08-01</td>\n",
+       "      <td>2025-08-01</td>\n",
+       "      <td>2025-08-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>End Period</th>\n",
+       "      <td>2026-07-09</td>\n",
+       "      <td>2026-07-09</td>\n",
+       "      <td>2026-07-09</td>\n",
+       "      <td>2026-07-09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Risk-Free Rate</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time in Market</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cumulative Return</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.44</td>\n",
+       "      <td>-0.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CAGR\ufe6a</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sharpe</th>\n",
+       "      <td>-0.1</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>-1.19</td>\n",
+       "      <td>-0.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Prob. Sharpe Ratio</th>\n",
+       "      <td>0.46</td>\n",
+       "      <td>0.54</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smart Sharpe</th>\n",
+       "      <td>-0.1</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>-1.18</td>\n",
+       "      <td>-0.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sortino</th>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>-1.58</td>\n",
+       "      <td>-1.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smart Sortino</th>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>0.16</td>\n",
+       "      <td>-1.57</td>\n",
+       "      <td>-1.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sortino/\u221a2</th>\n",
+       "      <td>-0.1</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>-1.12</td>\n",
+       "      <td>-0.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smart Sortino/\u221a2</th>\n",
+       "      <td>-0.1</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>-1.11</td>\n",
+       "      <td>-0.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Omega</th>\n",
+       "      <td>0.98</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>0.98</td>\n",
+       "      <td>0.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max Drawdown</th>\n",
+       "      <td>-0.41</td>\n",
+       "      <td>-0.22</td>\n",
+       "      <td>-0.53</td>\n",
+       "      <td>-0.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Longest DD Days</th>\n",
+       "      <td>253</td>\n",
+       "      <td>253</td>\n",
+       "      <td>276</td>\n",
+       "      <td>321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Volatility (ann.)</th>\n",
+       "      <td>0.35</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>0.44</td>\n",
+       "      <td>0.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Calmar</th>\n",
+       "      <td>-0.23</td>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.87</td>\n",
+       "      <td>-0.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Skew</th>\n",
+       "      <td>-0.68</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>-0.24</td>\n",
+       "      <td>0.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kurtosis</th>\n",
+       "      <td>9.78</td>\n",
+       "      <td>15.75</td>\n",
+       "      <td>5.98</td>\n",
+       "      <td>2.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Daily</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Monthly</th>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.05</td>\n",
+       "      <td>-0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Yearly</th>\n",
+       "      <td>-0.05</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.25</td>\n",
+       "      <td>-0.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kelly Criterion</th>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>-0.07</td>\n",
+       "      <td>-0.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Risk of Ruin</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Daily Value-at-Risk</th>\n",
+       "      <td>-0.03</td>\n",
+       "      <td>-0.02</td>\n",
+       "      <td>-0.04</td>\n",
+       "      <td>-0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Shortfall (cVaR)</th>\n",
+       "      <td>-0.03</td>\n",
+       "      <td>-0.02</td>\n",
+       "      <td>-0.04</td>\n",
+       "      <td>-0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max Consecutive Wins</th>\n",
+       "      <td>18.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max Consecutive Losses</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gain/Pain Ratio</th>\n",
+       "      <td>-0.02</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>-0.16</td>\n",
+       "      <td>-0.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gain/Pain (1M)</th>\n",
+       "      <td>-0.08</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>-0.64</td>\n",
+       "      <td>-0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Payoff Ratio</th>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit Factor</th>\n",
+       "      <td>0.98</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>0.84</td>\n",
+       "      <td>0.89</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Common Sense Ratio</th>\n",
+       "      <td>1.03</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>1.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CPC Index</th>\n",
+       "      <td>0.42</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>0.38</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Tail Ratio</th>\n",
+       "      <td>1.05</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>1.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Outlier Win Ratio</th>\n",
+       "      <td>6.49</td>\n",
+       "      <td>11.3</td>\n",
+       "      <td>3.72</td>\n",
+       "      <td>3.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Outlier Loss Ratio</th>\n",
+       "      <td>5.46</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>3.52</td>\n",
+       "      <td>3.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MTD</th>\n",
+       "      <td>-0.03</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3M</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>-0.11</td>\n",
+       "      <td>-0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6M</th>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>-0.3</td>\n",
+       "      <td>-0.44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>YTD</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>-0.28</td>\n",
+       "      <td>-0.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1Y</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.44</td>\n",
+       "      <td>-0.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3Y (ann.)</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5Y (ann.)</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10Y (ann.)</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All-time (ann.)</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Best Day</th>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Worst Day</th>\n",
+       "      <td>-0.12</td>\n",
+       "      <td>-0.07</td>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>-0.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Best Month</th>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Worst Month</th>\n",
+       "      <td>-0.35</td>\n",
+       "      <td>-0.18</td>\n",
+       "      <td>-0.2</td>\n",
+       "      <td>-0.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Best Year</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>-0.23</td>\n",
+       "      <td>-0.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Worst Year</th>\n",
+       "      <td>-0.21</td>\n",
+       "      <td>-0.03</td>\n",
+       "      <td>-0.28</td>\n",
+       "      <td>-0.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Drawdown</th>\n",
+       "      <td>-0.03</td>\n",
+       "      <td>-0.02</td>\n",
+       "      <td>-0.11</td>\n",
+       "      <td>-0.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Drawdown Days</th>\n",
+       "      <td>21</td>\n",
+       "      <td>21</td>\n",
+       "      <td>56</td>\n",
+       "      <td>67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Recovery Factor</th>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Ulcer Index</th>\n",
+       "      <td>0.25</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>0.44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Serenity Index</th>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>-0.06</td>\n",
+       "      <td>-0.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Up Month</th>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Down Month</th>\n",
+       "      <td>-0.1</td>\n",
+       "      <td>-0.06</td>\n",
+       "      <td>-0.16</td>\n",
+       "      <td>-0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Days</th>\n",
+       "      <td>0.57</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>0.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Month</th>\n",
+       "      <td>0.67</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.33</td>\n",
+       "      <td>0.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Quarter</th>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Year</th>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Annualised return (raw)</th>\n",
+       "      <td>-0.093979</td>\n",
+       "      <td>-0.001873</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Benchmark start</th>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Start price</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>113110.29</td>\n",
+       "      <td>3488.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>End price</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>63872.69</td>\n",
+       "      <td>1783.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Price diff</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-0.44</td>\n",
+       "      <td>-0.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Multiplier X</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Candle freq</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>1 days 00:00:00</td>\n",
+       "      <td>1 days 00:00:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          Equal (C-eq / no gate)  \\\n",
+       "Start Period                          2025-08-01   \n",
+       "End Period                            2026-07-09   \n",
+       "Risk-Free Rate                                 0   \n",
+       "Time in Market                               1.0   \n",
+       "Cumulative Return                          -0.09   \n",
+       "CAGR\ufe6a                                      -0.09   \n",
+       "Sharpe                                      -0.1   \n",
+       "Prob. Sharpe Ratio                          0.46   \n",
+       "Smart Sharpe                                -0.1   \n",
+       "Sortino                                    -0.14   \n",
+       "Smart Sortino                              -0.14   \n",
+       "Sortino/\u221a2                                  -0.1   \n",
+       "Smart Sortino/\u221a2                            -0.1   \n",
+       "Omega                                       0.98   \n",
+       "Max Drawdown                               -0.41   \n",
+       "Longest DD Days                              253   \n",
+       "Volatility (ann.)                           0.35   \n",
+       "Calmar                                     -0.23   \n",
+       "Skew                                       -0.68   \n",
+       "Kurtosis                                    9.78   \n",
+       "Expected Daily                                 0   \n",
+       "Expected Monthly                           -0.01   \n",
+       "Expected Yearly                            -0.05   \n",
+       "Kelly Criterion                            -0.01   \n",
+       "Risk of Ruin                                   0   \n",
+       "Daily Value-at-Risk                        -0.03   \n",
+       "Expected Shortfall (cVaR)                  -0.03   \n",
+       "Max Consecutive Wins                        18.0   \n",
+       "Max Consecutive Losses                       9.0   \n",
+       "Gain/Pain Ratio                            -0.02   \n",
+       "Gain/Pain (1M)                             -0.08   \n",
+       "Payoff Ratio                                0.75   \n",
+       "Profit Factor                               0.98   \n",
+       "Common Sense Ratio                          1.03   \n",
+       "CPC Index                                   0.42   \n",
+       "Tail Ratio                                  1.05   \n",
+       "Outlier Win Ratio                           6.49   \n",
+       "Outlier Loss Ratio                          5.46   \n",
+       "MTD                                        -0.03   \n",
+       "3M                                          0.06   \n",
+       "6M                                          0.12   \n",
+       "YTD                                         0.15   \n",
+       "1Y                                         -0.09   \n",
+       "3Y (ann.)                                  -0.09   \n",
+       "5Y (ann.)                                  -0.09   \n",
+       "10Y (ann.)                                 -0.09   \n",
+       "All-time (ann.)                            -0.09   \n",
+       "Best Day                                    0.08   \n",
+       "Worst Day                                  -0.12   \n",
+       "Best Month                                  0.12   \n",
+       "Worst Month                                -0.35   \n",
+       "Best Year                                   0.15   \n",
+       "Worst Year                                 -0.21   \n",
+       "Avg. Drawdown                              -0.03   \n",
+       "Avg. Drawdown Days                            21   \n",
+       "Recovery Factor                             0.08   \n",
+       "Ulcer Index                                 0.25   \n",
+       "Serenity Index                             -0.01   \n",
+       "Avg. Up Month                               0.05   \n",
+       "Avg. Down Month                             -0.1   \n",
+       "Win Days                                    0.57   \n",
+       "Win Month                                   0.67   \n",
+       "Win Quarter                                  0.6   \n",
+       "Win Year                                     0.5   \n",
+       "Annualised return (raw)                -0.093979   \n",
+       "Benchmark start              2025-08-01 00:00:00   \n",
+       "Start price                                    -   \n",
+       "End price                                      -   \n",
+       "Price diff                                     -   \n",
+       "Multiplier X                                   -   \n",
+       "Candle freq                                    -   \n",
+       "\n",
+       "                          Inverse-vol (C-ivw / ret30 gate)  \\\n",
+       "Start Period                                    2025-08-01   \n",
+       "End Period                                      2026-07-09   \n",
+       "Risk-Free Rate                                           0   \n",
+       "Time in Market                                         1.0   \n",
+       "Cumulative Return                                        0   \n",
+       "CAGR\ufe6a                                                    0   \n",
+       "Sharpe                                                0.12   \n",
+       "Prob. Sharpe Ratio                                    0.54   \n",
+       "Smart Sharpe                                          0.11   \n",
+       "Sortino                                               0.17   \n",
+       "Smart Sortino                                         0.16   \n",
+       "Sortino/\u221a2                                            0.12   \n",
+       "Smart Sortino/\u221a2                                      0.11   \n",
+       "Omega                                                 1.03   \n",
+       "Max Drawdown                                         -0.22   \n",
+       "Longest DD Days                                        253   \n",
+       "Volatility (ann.)                                     0.25   \n",
+       "Calmar                                               -0.01   \n",
+       "Skew                                                  0.57   \n",
+       "Kurtosis                                             15.75   \n",
+       "Expected Daily                                           0   \n",
+       "Expected Monthly                                         0   \n",
+       "Expected Yearly                                          0   \n",
+       "Kelly Criterion                                       0.02   \n",
+       "Risk of Ruin                                             0   \n",
+       "Daily Value-at-Risk                                  -0.02   \n",
+       "Expected Shortfall (cVaR)                            -0.02   \n",
+       "Max Consecutive Wins                                  18.0   \n",
+       "Max Consecutive Losses                                 5.0   \n",
+       "Gain/Pain Ratio                                       0.03   \n",
+       "Gain/Pain (1M)                                        0.08   \n",
+       "Payoff Ratio                                          0.69   \n",
+       "Profit Factor                                         1.03   \n",
+       "Common Sense Ratio                                    0.68   \n",
+       "CPC Index                                             0.43   \n",
+       "Tail Ratio                                            0.66   \n",
+       "Outlier Win Ratio                                     11.3   \n",
+       "Outlier Loss Ratio                                     6.4   \n",
+       "MTD                                                      0   \n",
+       "3M                                                    0.04   \n",
+       "6M                                                    0.05   \n",
+       "YTD                                                   0.02   \n",
+       "1Y                                                       0   \n",
+       "3Y (ann.)                                                0   \n",
+       "5Y (ann.)                                                0   \n",
+       "10Y (ann.)                                               0   \n",
+       "All-time (ann.)                                          0   \n",
+       "Best Day                                              0.08   \n",
+       "Worst Day                                            -0.07   \n",
+       "Best Month                                            0.12   \n",
+       "Worst Month                                          -0.18   \n",
+       "Best Year                                             0.02   \n",
+       "Worst Year                                           -0.03   \n",
+       "Avg. Drawdown                                        -0.02   \n",
+       "Avg. Drawdown Days                                      21   \n",
+       "Recovery Factor                                       0.12   \n",
+       "Ulcer Index                                           0.15   \n",
+       "Serenity Index                                        0.01   \n",
+       "Avg. Up Month                                         0.05   \n",
+       "Avg. Down Month                                      -0.06   \n",
+       "Win Days                                               0.6   \n",
+       "Win Month                                             0.58   \n",
+       "Win Quarter                                            0.4   \n",
+       "Win Year                                               0.5   \n",
+       "Annualised return (raw)                          -0.001873   \n",
+       "Benchmark start                        2025-08-01 00:00:00   \n",
+       "Start price                                              -   \n",
+       "End price                                                -   \n",
+       "Price diff                                               -   \n",
+       "Multiplier X                                             -   \n",
+       "Candle freq                                              -   \n",
+       "\n",
+       "                              BTC (buy & hold)     ETH (buy & hold)  \n",
+       "Start Period                        2025-08-01           2025-08-01  \n",
+       "End Period                          2026-07-09           2026-07-09  \n",
+       "Risk-Free Rate                               0                    0  \n",
+       "Time in Market                             1.0                  1.0  \n",
+       "Cumulative Return                        -0.44                 -0.5  \n",
+       "CAGR\ufe6a                                    -0.46                -0.52  \n",
+       "Sharpe                                   -1.19                -0.76  \n",
+       "Prob. Sharpe Ratio                        0.12                 0.23  \n",
+       "Smart Sharpe                             -1.18                -0.76  \n",
+       "Sortino                                  -1.58                -1.07  \n",
+       "Smart Sortino                            -1.57                -1.07  \n",
+       "Sortino/\u221a2                               -1.12                -0.76  \n",
+       "Smart Sortino/\u221a2                         -1.11                -0.75  \n",
+       "Omega                                     0.98                 0.98  \n",
+       "Max Drawdown                             -0.53                -0.68  \n",
+       "Longest DD Days                            276                  321  \n",
+       "Volatility (ann.)                         0.44                 0.67  \n",
+       "Calmar                                   -0.87                -0.77  \n",
+       "Skew                                     -0.24                 0.18  \n",
+       "Kurtosis                                  5.98                 2.72  \n",
+       "Expected Daily                               0                    0  \n",
+       "Expected Monthly                         -0.05                -0.06  \n",
+       "Expected Yearly                          -0.25                -0.29  \n",
+       "Kelly Criterion                          -0.07                -0.07  \n",
+       "Risk of Ruin                                 0                    0  \n",
+       "Daily Value-at-Risk                      -0.04                -0.06  \n",
+       "Expected Shortfall (cVaR)                -0.04                -0.06  \n",
+       "Max Consecutive Wins                       8.0                  8.0  \n",
+       "Max Consecutive Losses                     7.0                  7.0  \n",
+       "Gain/Pain Ratio                          -0.16                -0.11  \n",
+       "Gain/Pain (1M)                           -0.64                -0.47  \n",
+       "Payoff Ratio                              0.92                 0.93  \n",
+       "Profit Factor                             0.84                 0.89  \n",
+       "Common Sense Ratio                         0.7                 1.05  \n",
+       "CPC Index                                 0.38                  0.4  \n",
+       "Tail Ratio                                0.83                 1.17  \n",
+       "Outlier Win Ratio                         3.72                  3.3  \n",
+       "Outlier Loss Ratio                        3.52                 3.04  \n",
+       "MTD                                       0.08                 0.11  \n",
+       "3M                                       -0.11                 -0.2  \n",
+       "6M                                        -0.3                -0.44  \n",
+       "YTD                                      -0.28                -0.41  \n",
+       "1Y                                       -0.44                 -0.5  \n",
+       "3Y (ann.)                                -0.46                -0.52  \n",
+       "5Y (ann.)                                -0.46                -0.52  \n",
+       "10Y (ann.)                               -0.46                -0.52  \n",
+       "All-time (ann.)                          -0.46                -0.52  \n",
+       "Best Day                                  0.12                 0.14  \n",
+       "Worst Day                                -0.14                -0.15  \n",
+       "Best Month                                0.12                 0.26  \n",
+       "Worst Month                               -0.2                -0.22  \n",
+       "Best Year                                -0.23                -0.15  \n",
+       "Worst Year                               -0.28                -0.41  \n",
+       "Avg. Drawdown                            -0.11                -0.18  \n",
+       "Avg. Drawdown Days                          56                   67  \n",
+       "Recovery Factor                           0.92                 0.71  \n",
+       "Ulcer Index                               0.34                 0.44  \n",
+       "Serenity Index                           -0.06                -0.05  \n",
+       "Avg. Up Month                             0.06                 0.13  \n",
+       "Avg. Down Month                          -0.16                 -0.2  \n",
+       "Win Days                                  0.49                 0.49  \n",
+       "Win Month                                 0.33                 0.33  \n",
+       "Win Quarter                                0.4                  0.4  \n",
+       "Win Year                                     0                    0  \n",
+       "Annualised return (raw)                    NaN                  NaN  \n",
+       "Benchmark start            2025-08-01 00:00:00  2025-08-01 00:00:00  \n",
+       "Start price                          113110.29              3488.74  \n",
+       "End price                             63872.69              1783.67  \n",
+       "Price diff                               -0.44                -0.49  \n",
+       "Multiplier X                              0.56                 0.51  \n",
+       "Candle freq                    1 days 00:00:00      1 days 00:00:00  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from tradeexecutor.analysis.multi_asset_benchmark import compare_strategy_backtest_to_multiple_assets\n",
+    "\n",
+    "names = list(states.keys())\n",
+    "metric_tables = {\n",
+    "    name: compare_strategy_backtest_to_multiple_assets(st, strategy_universe, display=False, asset_count=2)\n",
+    "    for name, st in states.items()\n",
+    "}\n",
+    "\n",
+    "reference = metric_tables[names[0]]\n",
+    "side_by_side = pd.DataFrame(index=reference.index)\n",
+    "for name in names:\n",
+    "    side_by_side[name] = metric_tables[name].iloc[:, 0]\n",
+    "side_by_side['BTC (buy & hold)'] = reference.iloc[:, 1]\n",
+    "side_by_side['ETH (buy & hold)'] = reference.iloc[:, 2]\n",
+    "\n",
+    "display(side_by_side)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5819aff9",
+   "metadata": {},
+   "source": [
+    "# Equity curve \u2014 both strategies in one chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "21e4a1df",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:25:09.684977Z",
+     "iopub.status.busy": "2026-07-23T19:25:09.684831Z",
+     "iopub.status.idle": "2026-07-23T19:25:13.555147Z",
+     "shell.execute_reply": "2026-07-23T19:25:13.554336Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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H7X98/dvZVt9ZV/DEuyVZN8+l4G01dmCN2/zfh+z7SefdbIas4GcDXThERV19Q/DuUa1zOJchg/qavDk5sf1qYpCedw1z5+suPAmlfncZMy03JwcnHrEX7v3fWQj+eeO9z0zSrjsMN6+ZNOOdsHxf8v3O8+msK+4B31/+feBnBif/NC7z84HHlOdWkx0s5+d6R35f0Li7fbFheUUleC6yDu8wKH17d+dqzNOs2fPN5yD7xon98P/88xb40oQp8P99wN8t/sOTePOFen178pe+fenovVs9VN5Qabc/+JJJPvrg3cyr/2ynEZuBF9H807bYZF2zynPW//1rEjsw4/Au9OIFpwF9e/pK4gXd7vZx4f8dvMPYxJKXnyUsbN/dtgu4YLX3LtswGe99/LV5jefst7/+NcVttdn6KApxZ//uo7bAlef8x+SJNOvTqxvGXXoKtttiQ3z/8yw89sKkSNl92yJ9tr084WO88c6nJi8D3nwPcfr4i5kmjd8E4GchzyX+TuH/pomcrgAAEABJREFUT/h75rdZnj6ZTPbM+zuBvzP9/z/03GuTcev4F+wcwLP2BRSWzcn/c5nfmPnPIbtj2oxf8OU3P5u8mklAAhKQgAQkIAEJSCBFAqo2jEBsUY0whSg5tMCX3/6Mw8dcbb7+zK86b73ZeuAfZfwDn2P6evdasmyluTOQr940vjLIxTsG+ccx1znNnrvI5K2qruUqGMhlPq4sWVYB72TZCcXFhZj04TRMs9thr/r+8Y9yjhOcawe1ikL8MevLaC8w2MoLBlM+/w4brrsGOIwCx4M9+8p77K2w64u+7f/8u9C0/Vz7ogMDdXwoHsttdDbhx1//AoO2NXbg2hTcPOMfvjTgH5hMYnDzjEvvxC32H6R8eNs+u22LGjsYyP6cdO7NbT4ckWUkYiouKsBfdnCIQT8Gr7x10I/t9z/e0779xTiUl5WYbHzAIPPMX7jMrHP27fe/490pX4HBYL6uMagfk03w+qb7PMMXMKGpyWnKot1pF99uxqjm0BgM5jAQ9PYHXzCbmaK185b53OuTMfqYi4z1u1O+BsesNgWFmPXv08O0Y4JffczGgNI9j70GjkW75pAB5g5DXhR48qV3wQDr3jtvDY5L+7odwHjxrSncJeJEz0jno3fnd227tjwYuON7saqmFlsOWxc7j9wMcxcstS8EPYO7Hn7FWxS8HjRmgJwXuDisAQM4XD/2zP+ZcaoZUGE636MXXv8AGND3FuI99xmUf/HNj1BeWmKGSuD5zSFUvA9SbLIvJvFc+PmPf7y7muA/x3TnEAa04jnPtjP4fflNj/jy+bezrb77dvJbGLxa36jfh7ygwL7P/GkWhm20lvnGDV04nAUfcOhXbNSL9OOzKdZeYyBWbz7fo935p9/+NlmPOnDXVgFOs6F5RvfmRfPCscUZiOR5GLzNZEjz2ZgLbwUDgGx7YUEeOK71UadfB1648Tadd/Bz8q57X3m8eK41NjUh174gEY/fF/vtMcIUf+K5N+HbH/4AzwcmeO9053K0Ez/X2/r8Y1k32RcnOWzI/EVLwfdG17Iu5oGrh5xypfm8YZ5wE4OYDIb+aJ8/HMplyMC+MT3/gRcUeMGUnx08BuHq8U/nxXCuMwjucPA3NddaJl4o4EULXghpSW17iZ/5zLXRumvwJWAaZr9HmbDCvhjC11jyLly8jLuYoVzMQvNs0IDeZmnOvMXmNZ6zzTZcyxT30WczwBsPzEo7Z3l5ubj87GPN3tO/+9W8Rpq19dnG85ITy1i+YpX9fyDP/7vq6uuZZP6/9e0Pv6N/n57m7vru3crA3zP87Pfvi/d3QvD/hxbY3hWrqkxZrMf7fzp+5pvE5tmeO21llvz/b2ESNJOABPwEtCgBCUhAAhKQgARSJ6CAezvtOabpyP3H+u7u9C7zzlMWyaDrNbc9wUU8dfcl5uvNd1//f/j8rXsxsF8vkx6P2U2Xj8FmG61tiuJXrb3ToAF9cNi+O5r0lya0jHXKhFff9nyV/fD9d+Zq2IkP7mJgm+394IVbzVAXz913Od5//hYwsBF2xzY28OvivDtt0jPjzFe+dx25BQ5tbuvkqd8E7P3apKlmfZ9dtzWvvJuOQSKOifvZG3fjxktOwUev3GHGeGXQZMoX35l8qZhtv/XGptpZ/8w3r+wnv8rOlfc+abkLkOO/Mm3j9YbyJeI05th9Mf2dB/HCA1finWdvAoes4DjXTjsw678j02kx7e37Td5HbrvAbH578hfmlbNY7RiUGWYHap6482JMff1uPH3PZSwm5LT7jlua9Ffsc4tBdrNiz7776Q8zhjG/6s+LO9/9+Ad4wWf0rtuYYT94/r726HV48YGrsOWm69p7hP8Xy/kYjUevHt3wxmPXm3Pw3hvOwl3XnokPXrzVDInBbyYEt4Rl3nLFqfhq4v2m7Veee5zJwsAlhzjwpnNIA274+rvAB94xbb/dtzOW7DOHO+CYyHR+176gwe2hJt5NyXOb75FXHr7WnPOv2+3mRTxeqPCeT9592c62zgVvXv9XBl1ZB9Paeh8+89oHzGYftyuN2/hx5+KT1+7C+acdbp+jBWZbWzN+w4NBKE68c//AEy83F8/uu/GctnZttf2fuQtN2tp2sN4sRDnz9tMbKA7era3P+eD80ay/bl9c8v6+8H89/9r7o9k9IE/A+fTyHdhpu2H2RaMleO8TzzeQAjK3sdLR3xcs/uyTD8FWw9YzdxMfM/Z6O+Bdb94rvAjIi5G8S53BSOaNZmrr82/WP/PwhH3xjhe6Jj49zrw3+FnJbzPwwtdzr3vO01B1LVi0zFzkZeD73eduxsO3nI9Hb78QXA6VP1TaN9973uO7joz+2xETP/jSFBXunOM3DXheDN/jFPB9wc9Us0Mbs+XNwfTgb3dwt7IuJXzxXQSMJe9SO6jMnYPLtSzLfFYuWbaSm+M69bMv4PL/Nfz9ucth55pvOfBiK+8EDw48R1Mx/w/Dz0XeEd7kdEbcpa3PNj4T4ogDdjFl3HrVaeb85v+7OHQNE086arT9O2K8/fvyUtxmb+f/mTisFYPnoYLj/H+C//+HTjh8L1x7wYksCiyLZXPikFgmsXm24bqrG/9Pv/qhOUUvEpCABCQgAQlIQAISkEA6CZiAezo1KFPawq8qDx7YF8FT/76eMVwZdOUf/AwE8A9Hb7/ycnMQ63AJ3n1jfeUYyYMH9jF3SnuHGeBdcy++NcUE/bfZfIOIRX7QHPw+/fj9wT+AvZn79+1pAhve9VhfH7n1fBNg50UBOnYt7wIGjliON8DO5XkLl4J/IPPuQY4HzLTX3/mMLzjh8D1txxw47cCzBQt7NAd8Gfw0GcLMGJxk/9sz+d81Gqr4LTZdzyR//8ss8+oN/u+989Zm6BH+wc0NDNLwnGAAmuvhJgYIxp5woO8r9T26lYHDBTD/8opVfPFNI7faGLwI4r1jkkEv7u9/92GsdqyLQejhm6xj/rDnueSrMGiBd3fyIZEMkHDYFO9mfr2eywfuNZIvcOQ4zCvvtORwNWbFnnE8bLbfXgz7L5bzMRoP+q+5+gAz/AUD2pOnfmuGR+hWXmoCv/7tY6NYJu8qtCyLq2aYAi7w/Nx91BawLE/6iC03ZDK+/u4X8+o/45jKDPAxjXde/vfofbiIb+0LEWYhxIwXSph8+nH7w3t82XYGI5nuDRpzmRPbSUtv3lDnAvOFmqJ9HzI4z/39zy+26bhD9wD9uC2aaVVlNTjxfczzlfscdfq1MQ+TMG/BUu4Kfp6YhShnDGbyeGy1mee9G7wbywv+jOe693M+OH806+wnywieGBSMZn//PAHnk/27hQE6buc3Svgay9TR3xesixeq+JntPY94cc37uVlf32DeV3l5ecza5kSntj7/Pvrcc4H1v8fsEzCM0CnN76uJk6eFrcf7+Tzavpjrb88HF4fdKWjD4mUVJmVg/+guovNbb/c/+Yb5PD3+sD3Nvt5Zj27l5ls2Rx24q3nQLz9/+X+IK25+FByqyZsv3OuqqmqzKVT7+d7kxuoazzfjYsm7cpXnbmt+u4Zl+E8MwvP3Gt+//unxWObFTV5AYlnvTvnKfNOK34zbevRp4DcT+H8ZbotmsiwL6wxdzWT1/yaZSQiadfSzjd9GKykuNHfm8wIBv0Hj/f/XnPmtvw0Q6v9DQU0KuWpZFoas1g8LFi8PuV2JEpCABNoS0HYJSEACEpCABBIr4Il+JbaOrCz9/0462NzB9PQ9lwa8MkDJDvPrwnzdYZtN+JKSybIs86AxVu4NfH7wyXQT9Dj2kN18wTtuDzX9Pcdz1+gG66weanO704qKWt8By+A7A4MM1jBoy8InTvbcCXjI6FFcNROHbeECx0XdeOcT4J04zAjTFy2J/Mcnh1y4+tbH0Z6ppq6eVYSdNttoLbNtxg9/mNf3P55uAii8u5sJn0//CfPtiwjLKyqx7RYbMCnmqbysi9nHG8QyKyFmlmWZoE6dHeTybo7VrrioyLtrVK8H7b29yff6O57xbWtq681wF7y71fvQSF5oYICT47Bvu8/p4JAYDEAtWeYJXJkCwsw6cj5aVmsPBonue+INbL77KWYMZw6RwqEpGCRkE9whnn3AdO9UUlRoFl32RR+z0Dwrbk6vbB72qTk55AuHceGGBYs8AWMuB09//jPPHMvgsaDXHDLAZPXe3W1WQswsyzL7+58LIbKZpGjfh7y4wh04dA3vwr38pkfx4WczYnqA3247DMebT9xgJt5VzG9n3HntWPONiGtu93w7iHVEM/Xu2c1ki+Y8MhntGYOZvDjEu/q9QTY7OeBfW5/zAZmjXGG/g39vcJ11RVlE2GxDVutrtkU6n0yGEDPL6tjviz/+nguOnc6LUjdcfDIev+MiU8uJ596MH375y1zYYkLvHl35Em6KmB78+cdjyB287wUuc+pSUmRfDO+DX/6YzdWQk/fzhGOch8wQRSIvHDJbn+bzj8vhph9+/RsnnnOT2XzXdWeih30B1aw0z/j5yf8/XHLmUeAd0fzWyLP3XW623vvY622+t7oUez6vG5ta38FdV99oyikq9PzujSUvg+rcubGpiS8BU13z75eO3kTAz+KAgu0VXuzitwL5zZn7/nc2/u+kg7D91pvYWwAO73WlfSHCrEQ5m938LZi+vTyfFeF26+hn2yz785rfdOSd+bxAcNEND4Lf7mB9wb8rmFYU4v9DTI9mGtCvp/n/XFv/H4imLOWRgAQkIAEJSEACEpCABOIroIB7m57ty+AdY53jybavhPjstdfOW5uCnnn1fXM3+AtvfmTWeVefWYgwq20OMIe6sy3Cbu3edMg+nsA6x1DleOMcm5jBWY6t6y2UwWouX33e8Qg17bPrttwcdjr5qNF47/lb2jWVBT2IMbgSBkSHDu4P3sW40A78867p3bbfArxDnEHYD6Z+gx9/+8fs5n1wnlmJYeawg2IxZA/I2lG7gMJCrPAOWd4pyiFvamrr8NHnM0wuBjTNgj3jNzzefnoceGcuAypTp/2Aex59DaMOOgscYsTOEvZfvM/H++1g+72PvQYeMw7B8srD1+DjV+8Ev5EQthF+GyyH5452vySz2J7gU05Ojtk31KyyqjbgYYXePHl5uWbRO/67WYnDLJr3IYODHIKDF8lmz11kni3AoTAOH3ONGXO+Pc3gHfm7jNwcu24/HCyTQy1EW86Q1fqYrHyug1mIYjbh/c9NrtHND380Kxk+syzPOWlZ7fvV3pHfFxxvm3x77ugZW3qLTdfFY7dfZAKCJ9iBZn7+8VsyfdoIeLKMcJOjuX/e7bxrnst8HgRf/Sfv7y3+LvFP9y6vrPTcub1684N6vemxvHrLdjR/cyfcvvxmFZ9dwe183/CzksttTZusP9QMGcfP04VLVkTM3q1rqdnuvYvdrDTPvGndu5aZlFjyei8MeD9/TQHNM3428TO/eTXsS9fm55VUVdeFzFNVXWPSvRcEzErzjPXzxgV+a+H+G8/Gm+rtgKYAABAASURBVI9fb7a8bV+Qr61rMMttzfi7jxPPyVDniv/+Hfls4/NY9j3uUnOhhw81feTWC8wQRS89eJV/FXFbznG0730etwaoIAlIQAJZK6COSUACEpCABDouoP+td9wwZAl9e3c36byzzyxEmHljCHXND92KkDXmTRzq4+DRO5i7Rvm1dO8dnUxvq7DVm++W/DfCQ9Hi2fYdtxsGBqZffOsj88A93unOsVL97z71fi2cgSH2K3hicDtSv9jvAX17oj2TZXmCWZHK327LjYz1869/aLKN3HpjEyzlkDf8avn0mb+adI6/ahaSOOuoXVtNtSwLRxyws8k2eeq38A4PxOFWTGLzjBcuzhtzmBk7nQFujvvNTY+9MIkvYadozsewO4fY4B2q5al7LgWHYOFd+LxokpubEyJ3YpL+bR5iYPCAPmEr4LA3i+xgW32D5y5Vb8aFzUMJrNbf8/BCb3pHX6N5H7IOXgjjmNffffAInrzrEjCIyItMoR7QyfzRTo7mIFK1fdEm2n3WWsMzXMQLb3xkHiQdbr+m5vGbnU4XOPzJxnZAc/UYH9Aarux0SF+waJlphvdOd7NizxiwtV/a/MfPR36m8nyL9feF99sFi5a2BIb5MGKeI6yfF1F222GLNtsQS4bVmh/c6e23d18eXz4AmQF+ywr9ud23l+d3tHe4D+++sbx2aw5yL1laEXY3Dity5GnXmgsPT919Kfi+CZs5xAZvUJ8XKxFiuzepd8+uZjHUsGrf/fSn2dat3PMNqVjyeu/e/23Wv6YM72z+wqWmT/xd6k0L9+odkm7ewiWtsvDubB4rBu5zcjz/JW1qfp+2ymwnDB0yAAyc24uYH6I8pvtP9Lt1/Asmqa3nhJhM9ozHiOftd218tjntzxE7u++f9/kEvLB/welHYOvN1zfD9/EbF75MMSw4IziwGO957734yjRNEpCABCQgAQlIQAISkEB6CHj+ukmPtmRVK4YO6W/688U3P6G6ps4sc8Y/WpcEPWSMQT5u+7H57mcu84/EaTM8wVmuR5q6dfX8Eb04zB/9B4/23Dl+2wMvmmIObb6T3KxEmHmHknnipXfM3fH+WTl8BNc72naW4Z049qw32HPJ/x4yyfvvvp159c4YwOHy+Cff4EvANN8OAEQaQiAgc4JWvO3jGLMcg5cBLFbFO3f5+syrH5iHCrKvXE/m5G1bIu28dwvf89hrYKCJwwH5Bxt+ss/xWf/M83Wb5w/HLOaFlu9/9ox979sYtBDN+Ri0S8RV79i3/nfNrqqqwd//eoZSirhzHDa6XG48+pznIsOWw9YLW+Lwjdcx23jBxiw0z155+2OztPF6Q81rvGY8N9t6H06cPM13JzsDgZtvvDY4lAjb8M+/C/jSrunn3/8xz5zgzmutPpAvUU0cN5lDNzGwe/nNj6DSPo7+O9Ka35gZc+FtJvnr737F8opKHLz3DmY9W2a8iMC+8OIHXzkx2Mm+MojOdU78XTHL733INO/U3t8X3iD/G81DSnnL22jdNcBnmXCdn3/RXIRm3mgm77n/0oQpAdknf/qtCQZv3vzeCdjYvOI9v956/4vmFM8LP6M8S23PezUPjzM/zJBQb773GTisSHc7MM8HX3qHHQsuuckOrE6d9j14nvpv4+8zXiTn/vys9G5j/nH3Pocb73kW3m91rGkHohm0njrtB/D4evPy7noe+91HbQHv3d2x5N1+m01NUW9/8CVYr1mxZ5M++sqeA7vZ5ZqFCLMN1h5itj750rvmuJiV5tkrEz8xaf4Xy59++X2cd839dkB9aXOulhcGmb3HaNBAzxBKLVsDl3je33Tf8+AwZxza7LjD9gjMEGItms827zcXFy72XODyFuN9wGx+nufbR950b3u96229lpUWmyzsq1kIM+NwYryoFGazkiUgAQlIQAIJEVChEpCABCQQnYAjumzKFSzAwAaDwsET/whmXt49x7FA+QffIadcaR74dfold+DAEy83f1wyj3dae+hq5s7uF9740PwBzTGtjzz9Olx/51PeLBFfGdBghguuG4/nXp8Mjm/qDSYyfaN1V/cFPBiI8QY/uC3StMM2m5jgMP+AP/m8m8GgBvt9zNgbwOEjuG9H284y/CeacZ13tzNgzQe0ct07nXD4XmY8ao6JeupFt4MPP2UQh+Ok7nr4eebOeG/eVLxutuHavmp33X4L37L/Qxl515tvQxIXkmHHoBADOzx+7NqBzQ9L5TKnn37/B/zKPY8Xz6e33vscF9/woHlPnPaf/Zgl7BTN+Rh25xAb+HBRJvM84vnE9+7eR1+ItgL/3Ke908U3PITxT76Jx194Byede5MJLvNuzVHbeoJaocr1BomuvOUx3Pf462afq297AjzvORzOnjt7hvAItW9709p6H7Ito4+5CPysenfKV3j0+Yl2v94wn2O7j9oyqmqnz/wNN9z1jD09DX6O8nPlkFM8Qy9cdd5xdlme8aajKszOdNbJB5uHpvLbFfsdf6n5zH32tcnmc/Sgky4H21xZ6Rm64k07EGrvgl13GM6XsBM/79i24InnStidkrjh+jufBvvIb5Occ9V9ePHNj8xnvfcCH5vi/ewZc+GtZixpPqdgx4PPwu9/zeXmVlN7f1/w844Xzvgth33/cwmesIOrDLDyIbiLlizHJWcebd7nHF4mXu+x7bfeGPyWwgQ7aM7PlEkfTjMP1Dz7yntMv7wPFjYrQTMeewayacbgLi+S8nc0n0sQlDXs6mYbep7bwXMuOJPT6bI/2zwXjtdZc5B5nsW1tz8J/8l74bqx0QleDNrfPm9vHf8i+Hvt9gdfAscCZ7kXjz2aL77ptz//BW1fefsT9Ovdw6RblgU+m4UXnf57wS3mvOC3FM6w/9/BDIfusyNfzGRZ0eft17s7dtpuGBj4P/uKe8zwUfw/Bi/g83jvEcX7ff21h2D0rtuYc+7wMdfg4WffBj//+ewHerBRpx+3P198E48lf6fz8/meR18z+3CZY6Ozj9ecfwJ4sc+3A2C+VcX/N11w7XhwCJ+R+481TrwQcd+NZ9ufKYX+2UMu83Oirc82fhuKO/Nz4KmX3zNt4wVmDgHE9Mfsz3e2g79X+L7j+cX0aKdBA3qbtvK9zc9YDgnIzyL//XkxZtGSFRix5cb+yVqWgAQkIAEJSEACEpCABNJEQAH3WA+E/Ycqd2HAgA8iDZ4YfOJ2Tpf+3zFmPGh+lf6x5yfhqxm/4pz/Hmq+Yszt3ol3Qd9w8UlmlX+88Y/L5StWmQenMdGyLL6YybvoaB52gYlH7L8zjjxgZ/AuquvueMoEHGpqarnJNzEwwZUjD9iFL1FNlmXh9mvOMGXzYaYM1PCPY35l/agDPeXE1nZPPyxYYetfx774wDvRmMF7pyWXvRPvln7l4WvNH++ffDnTPPz0hruexlt24JbjSTNY5M2bitfyshIT8GLdO2yzCV/MxLuGGXDgyvBN1uWLb7Isj4dleV59G0IsOByePJbD89a1LM96iKzg1/PzclvutIvWzrLClxmqnuC0A/bc3iQxGMxgmFlpnq2/9mAz9AiPF88nb5CMd8KfdNTo5lyhXyyr7fPRssK3PdjjojOOBM81BpIYPGIAa5vNNzAXmdgCy/KUZVmeV6b5T5blSbeaj4l3m9V8fuc4PMfIm85Xjrd+96Ov4ub7nwffUwxs33P9/3FTwOSwWvblGMavPXod1l5jIO61A+7nNAdWeUHq0dsvhHfIJcuyAsrwXwnuu/+2UMttvQ8P328nc4c4P6vYHgYJ+XDFu64dC150CVWmN83bTF6UYSCJFw74Obp46QoT2Hvq7kvA88Gb3/tqNbv6f/Z5t/GV9U548kZwOIfKqlrwM5dBLwatOGTFfrtvh8vPOdbc/c76RtsBQA5vxH1bTc2NjOZzvtW+YRKai0S49nu3W5YVpoSWZMvy5OHvCfbxsnGPmAsxPCceuOlcuw7Pdu5xzEG7YbstNjTBTp7nDHTy85tp3N6Sk2ueqT2/LzhMyRN3XmQ+/2bNno+b7n0ODEh2Ky/Fyw9dA9b5+B0XmaD7Eadda8a59tQW/dzR/F7z//wbf+M54EU+fqYwsMlgMAOsz4+/0gwdFq50jvH+8K0XmIs0DO5yP/6O5oUb7mNZoWS4pWXitwf4OcfxxCuDvlVhWS37MxjLgGnw9NNvf5vCcnNzsPPIzUA3Xry6+tbHTRCXFwRuvvxU7BV0UY3f0OCONC0qzOeimY46cFfzcFFeTOF5cfN9z6OuvhG3X30Ggi/0xpL3JrsNu9uB9Q8/mwEGyXlxgndWP3//5ejaPEyNaUCE2ZXn/Mc8u4N95MUEfv7zeR/rrTUYz99/Bfwvru80YjOceMRe5uI6f88z6Mx9uEzvu687Exxr3VddszVd+H7/6PPvsNC+yMOhYa678ES8+si1rR5S69s3aCGazzZ+U4HDovH3K79lwLbNXbgE/Ny8/OxjzTnOdvD9xmNx+vEHmFosq+WcsCzPstX8uWYyNM94IeOWK041vyv5GXuDfWHy2+9/b97qeeE5yyXvhWMua5KABCQgAQlIINUCql8CEpBAi0BLVKclTUsRBA7dZxR+mvJ42OnDl2737V1cVICbLh+D6e88iPefvwXT3r7f/BHJ4JcvU/PCrtsPx9eTHjB/GH7wwq3mQVvHHrK7qefsUw5pzgXwDzfWzz/svIkMpDK4//mb92DSM+PscsZj6JAB3s3ma+D8SjX/iNvF/qPetyGKBQbUWfbMyY+YB42yH19MuNfcrejdPdq2M5DBtnNMau++oV5feOBK0+9dRm4eajMY2Bl36X/BNr3z7E2Y+PQ4fPPug2DwMTjAG7KABCdy6AD2kwFA/6rYZqbzj3X/dAZCmM6LJt50Gnw9abx31ffKY8G8vOuQiSXFhcbqtqtO42rARJd3n7s5IC0au0hlBhQWZoVBP7bxzSduaJWDAe6n77nUvCcmPPk/cOL7g3c0MwDWaoeghLbOx0htD/agxXN2oIfpPGafv3mveb/yPGL7efGE1Ycrk8Fa5uNxZT7vxAAU06+/yHMRzZvO11vt4/TVxPHmfTrjvYfAPHz/chunIjt4xn3vsC90cd07MdjOoDvHvGdbv5hwH8aPOzcguB2unSyDfQw+F5geaeI5yLaEeh+eO+ZQfDXxfvOQWQazprxyh30sb4xqfGp+NrHc4Intu9u++LDZRmuHbBaHueE++9mB85AZ7ER+5vJzhu8dHk+2jeXyM+uGi082F1g+mPqNnRPYf/cR5jXULJbPef/9We/U1+/2T/Ite/t97QUn+NL8F/bcaSvzXvb/HPDf7r/MPtKC77GPXr4DLz5wFVgvzwleoPHPy/OLQXj+Xnnl4WvMZyXvNn/w5vNMfbxQ4p+/yelEe39f8E5mPiCSbeJ5+rX9O43vpz7ND0rltznYbk4MtPrX67/Mc+/rSW1//nEfvk9vu+p08/uVdbJuHvPgi6/83GG93McmlFa9AAAQAElEQVQ78ffoBy/cZn6H8LPoS/t9xQs2zHedHaj15ov0ev5ph5vNvJvZLDTPeHGA5USaxp5woMmdZwfc77r2THxrfybwdxr7P/ml2/DJa3e1CrZzh8+n/8gX8Dw1C34zPlyUvxt5bvD/A3yf7hbmmxzR5uXn0m32Zxc/q3kO8XOInyk8p/2qjrjI/38wSM1x0dkuHiu+R/m60XprBOzLO7x5cwLPaR6Tt+zfFW88dr39f5sHwH4xIO+/Ax38nXnusH18QC2HmuJno3/+SMvRfrbxwd88Vpw+feNueC8SMmDPz2e+D3hO8fzit7fYPu+5wvq97+Fw/x/iN7p4zvJ85v8rb7T/z8P9OPFiAs83vp9GbLkhk9qelEMCEpCABCQgAQlIQAISSKqAAu5J4OYfq7x7i3+AR6qOwSIGAHjXXKR84bbxwVmDBvQxX0X2z/PhpzPMgzz/YwfwvWO4+m+PZpl30fLhaOwHl4P36Wjbg8uLZp3t4AMjeacd7yCPZh/l8Qik2o7vidUH9QMnLntaFf2c7Y90PkZbEt+TPH/WW2swGLiLdr+O5GPwh+/T9rwXeRGHbWWwvyNtiMe+lmWZgD8/sziWNS3jUW68yuDxZNt4tzPPF2+5HIaDdw5HGjffmzcTXnnhaIN1hpi7gcO117Is8PcKh8Jo67Oyo78vLMsyF0V5nvL3Qrg2xTudFxZYJz1iKZvnLT8D+FkU6mJ4W2XxDuPdR21pvlnGu5nbyh9pOy868ncaL0xyWDrLslplr6tvwGdf/whe6Obv41YZ7ASe77wTnJ8zltW6DDuL718seflZzXOIn0O+AmJc4MUFtovHiu/RtnbnBSE+o4GB6WSdT5YV3WebZVng8eK3OPz7wc9nXnziOcXzy39brMs8n/vYF6y85fD5Pjfe/awp5opz/gPLinx8TUbNJCABCUhAAhKQQBoIqAkS6GwCCrh3giP+2AuTTC8DvoJtUjSTgAQk0HkEePf2iC03wrUXnGiGXOo8PY++p/p9Eb2VNyeHp+Iyx+vmuNpcTtTkfejsUc3DuiWqHpWbngL3Pf463v9kOnjXPC9EpGcrM65VarAEJCABCUhAAhKQgATiLqCAe9xJ2y6QQ8TwK/1t5+x4Do4ZfcjoHXDntWPNHY4dL1ElSEACsQrssv1wO8h7Anr37BblrsqWCAHezTvm2H0xattNE1F8xpep3xftO4S9e3YFnz1wxvEHgM8iaF8p0e01bKO1wCFLOJxIdHsoV7YI8NsN/KbKtRecgBOP3DtbuqV+SEACEpCABCQgAQlABNkooIB7Co4qvwrO8XqTUTWHrThwr+0RahzmZNSvOiQgAYDjSfN9yDHo5SGBdBXQ74v2Hxk+e4Dv8eDxyNtfYug9edGIQ5aE3qrUbBbgcFA8xzhxOZv7qr6lkYCaIgEJSEACEpCABCTQLgEF3NvFpp0kIAEJSCBVAqpXAhKQgAQkIAEJSEACEpCABCQggewXyNQeKuCeqUdO7ZaABCQgAQlIQAISkIAEJCCBVAioTglIQAISkIAEJBBWQAH3sDTaIAEJSEACEsg0AbVXAhKQgAQkIAEJSEACEpCABCQggVQKJCfgnsoeqm4JSEACEpCABCQgAQlIQAISkIAEkiOgWiQgAQlIQAKdXEAB905+Aqj7EpCABCQggc4ioH5KQAISkIAEJCABCUhAAhKQgAQSLaCAe6KF2y5fOSQgAQlIQAISkIAEJCABCUhAAhLIfgH1UAISkIAEOoGAAu6d4CCrixKQgAQkIAEJSCCygLZKQAISkIAEJCABCUhAAhKQQDwEFHCPh6LKSJyASpaABCQgAQlIQAISkIAEJCABCUgg+wXUQwlIQAJZIqCAe5YcSHVDAhKQgAQkIAEJSCAxAipVAhKQgAQkIAEJSEACEpBAtAIKuEcrpXwSSD8BtUgCEpCABCQgAQlIQAISkIAEJCCB7BdQDyUggQwSUMA9gw6WmioBCUhAAhKQgAQkIIH0ElBrJCABCUhAAhKQgAQkIAF/AQXc/TW0LAEJZI+AeiIBCUhAAhKQgAQkIAEJSEACEpBA9guohxJIMwEF3NPsgKg5EpCABCQgAQlIQAISkEB2CKgXEpCABCQgAQlIQAKdT0AB9853zNVjCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIIPsF1MMUCCjgngJ0VSkBCUhAAhKQgAQkIAEJSKBzC6j3EpCABCQgAQlIIDsFFHDPzuOqXklAAhKQQHsFtJ8EJCABCUhAAhKQgAQkIAEJSEAC2S+QoB4q4J4gWBUrAQlIQAISkIAEJCABCUhAAhJoj4D2kYAEJCABCUggcwUUcM/cY6eWS0ACEpCABJItoPokIAEJSEACEpCABCQgAQlIQAISiCCQJQH3CD3UJglIQAISkIAEJCABCUhAAhKQgASyREDdkIAEJCABCaS3gALu6X181DoJSEACEpCABDJFQO2UgAQkIAEJSEACEpCABCQggU4voIB7JzgF1EUJSEACEpCABCQgAQlIQAISkIAEsl9APZSABCQggdQLKOCe+mOgFkhAAhKQgAQkIIFsF1D/JCABCUhAAhKQgAQkIAEJdAoBBdw7xWFWJ8MLaIsEJCABCUhAAhKQgAQkIAEJSEAC2S+gHkpAAhJIjoAC7slxVi0SkIAEJCABCUhAAhIILaBUCUhAAhKQgAQkIAEJSCBrBBRwz5pDqY5IIP4CKlECEpCABCQgAQlIQAISkIAEJCCB7BdQDyUggfgJKOAeP0uVJAEJSEACEpCABCQgAQnEV0ClSUACEpCABCQgAQlIIKMEFHDPqMOlxkpAAukjoJZIQAISkIAEJCABCUhAAhKQgAQkkP0C6qEEYhNQwD02L+WWgAQkIAEJSEACEpCABCSQHgJqhQQkIAEJSEACEpBA2gko4J52h0QNkoAEJJD5AuqBBCQgAQlIQAISkIAEJCABCUhAAtkvoB62FlDAvbWJUiQgAQlIQAISkIAEJCABCUggswXUeglIQAISkIAEJJASAQXcU8KuSiUgAQlIoPMKqOcSkIAEJCABCUhAAhKQgAQkIAEJZKtAS8A9W3uofklAAhKQgAQkIAEJSEACEpCABCTQIqAlCUhAAhKQgAQSJqCAe8JoVbAEJCABCUhAArEKKL8EJCABCUhAAhKQgAQkIAEJSCCTBRRwj+7oKZcEJCABCUhAAhKQgAQkIAEJSEAC2S+gHkpAAhKQgAQ6JKCAe4f4tLMEJCABCUhAAhJIloDqkYAEJCABCUhAAhKQgAQkIIF0F1DAPd2PUCa0T22UgAQkIAEJSEACEpCABCQgAQlIIPsF1EMJSEACEmhTQAH3NomUQQISkIAEJCABCUgg3QXUPglIQAISkIAEJCABCUhAAukgoIB7OhwFtSGbBdQ3CUhAAhKQgAQkIAEJSEACEpCABLJfQD2UgAQkYAQUcDcMmklAAhKQgAQkIAEJSCBbBdQvCUhAAhKQgAQkIAEJSCBZAgq4J0ta9UhAAq0FlCIBCUhAAhKQgAQkIAEJSEACEpBA9guohxLoRAIKuHeig62uSkACEpCABCQgAQlIQAKBAlqTgAQkIAEJSEACEpBAPAUUcI+npsqSgAQkED8BlSQBCUhAAhKQgAQkIAEJSEACEpBA9guoh1kmoIB7lh1QdUcCEpCABCQgAQlIQAISkEB8BFSKBCQgAQlIQAISkECsAgq4xyqm/BKQgAQkkHoBtUACEpCABCQgAQlIQAISkIAEJCCB7BfIwB4q4J6BB01NloAEJCABCUhAAhKQgAQkIIHUCqh2CUhAAhKQgAQkEEpAAfdQKjGkzV9WC03paeB2AwuWp2fbdM7ouKTTObBoRR2cLrc+y7Ln81zHMoHHcnllA+oanDJOoHE6fT6qLW3/vl5SUYeGJpfeE3pP6ByI4hyoqGpAdV2TrKKw0udv25+/2W7E9wrfM6noZwwhIWWVgAQkEFIgiQH3kPUrUQISkIAEJCABCUhAAhKQgAQkIIGsElBnJCABCUhAAp1XQAH3znvs1XMJSEACEpBA5xNQjyUgAQlIQAISkIAEJCABCUhAAgkUUMA9gbixFK28EpCABCQgAQlIQAISkIAEJCABCWS/gHooAQlIQALZLaCAe3YfX/VOAhKQgAQkIAEJRCugfBKQgAQkIAEJSEACEpCABCTQQQEF3DsIqN2TIaA6JCABCUhAAhKQgAQkIAEJSEACEsh+AfVQAhKQQOYLKOCe+cdQPZCABCQgAQlIQAISSLSAypeABCQgAQlIQAISkIAEJBCFgALuUSApiwTSWUBtk4AEJCABCUhAAhKQgAQkIAEJSCD7BdRDCUggMwQUcM+M46RWSkACEpCABCQgAQlIIF0F1C4JSEACEpCABCQgAQlIoFlAAfdmCL1IQALZKKA+SUACEpCABCQgAQlIQAISkIAEJJDOAisrqzHpw2lwu90Rm/ntD3/g4y9mtsrD/ZYsq0BVdW2rbclKmPL5d1i8tCJZ1SW8npk/z8JHn89IeD3ZWoEC7tl6ZNUvCUhAAhKQgAQkIAEJSCD1AmqBBCQgAQlIIIMEdjrkbGww6rhWUyK7MHf+Epx3zf1wulxhq/l3/mIcM/Z65Ofl+vIwwH79nU9hwx2Px6iDzsJWe5+KvY6+EBPe/8KXJxkLcxcswemX3IG8vJxkVNeuOnih4p5HX4t6327lpbjg2gcwddr3Ue+jjC0CCri3WGhJAhKQQKcSUGclIAEJSEACEpCABCQgAQlIQALBAmedfDAmPPk/3zTx6XHBWZK+zsD6iUfshW2Gb+Cr+6wr78FnX/+Ip++5FDPeewjvPX8LDthzJD6Y+o0vTzIW3nr/c+w+akswSJ2M+tpTBy8KTJvxS9S7DhrQG9ddeAKuvOUx1NTWR72fMnoEFHD3OGguAQlIQAISkIAEJCABCUhAAskVUG0SkIAEJJCGAn16dcPqg/r5psED+5hWulxuPPb8JIzcfyy22HMMTjrvZhwz9gazrbHJicP+ezVmz11k1jm77/HX8dTL73ER02f+hn3/c4nZj/tecO14cCgZs7GN2Y+//Y2p037AiUfu7cvJQPsX03/C7VefgWEbroX8/DwM6NsTJx81GjdeeoovX/BCbV0DbrznWdMHtueZV98H05gvUv+4PdTkdLrw0ltT7ED/iFCb8eff83DwyVfi8Rffwe5HnG+mF9/8yJeX+z/0zATwmwV0ueiGB7FyVbVve/DC33MWGHd+C4F38x931o1mOB7mozXr4DYeI/pzuB0ek/FPvoFvf/jdHCMep7r6BtPvcBYsjxcRCgvyMXHyl1zVFIOAAu4xYCmrBCQgAQl0FgH1UwISkIAEJCABCUhAAhKQQGIFamuBm+9uSvp078NNETv27pSvweFHvBMDt9yBgddbxr+AYw7eDU/edTE2XGd1E8TlNrfLBQbGa+ta7obmXdWLlq7gZhQW5uP4w/fEU3dfggdvKcusLQAAEABJREFUPhe//jkHjzz7ttnW1uyPv+Zip+2Goby0xJf1lz9mgxcC1hm6mi/Nu8AgsXc5+HWcHWyf8cMfuPmKU3HpWcfgmVc/wAefTDfZIvXPZAgxm/79b2hsbAq4894/Gz3Y1m/sCw6X2fX959A9cPVtT2BlpSeo/uqkT/Dg0xMw5tj9cNtVp5kA/eU3P+JfhG+5vqERYy68DS47yP/wLefj8rOOxZx5i7C8otLk6dOrOy4840i8/th1uPq843GvfcHjky+/R68eXbHHjlti6OD+OO/Uw8yUl5uLSBamQHu23+4j8NusOfZSNv+Lf98c8S9SJUpAAhKQgAQkIAEJSEACEpCABCTQIQHtLAEJZL2AHTfFb3+6kz798Zc7oi3vsF6weBlapuUm/6sTPwGHbDnl6H2w3lqDse3wDU16NDMG50dsuZG5A/7HX/9GeVkXzJo9P5pd8bsdcF93zUEBeRcsWoaB/XoFpPmv/PDLX7jtgRd9EwP8vJP9pQlTsN8eI0zwvqxLMbbbYkO8P9UTcG9P/95451Mcss8o5OZEHr/9ruvOxMitNsaRB+yM7l1LfRcqXp04FaN33QaH2mVw+5hj98Xkqd+Cx8C/P1z+7qc/wYsYV9nB9G2Gb2CC/AP6thjstsNwDB7QG7/+MQf/zF1o6uFrcVEBhqzWz5hvsem64NRgXySIZMH6OK21xkD8YpfHZU3RCziiz6qcEpCABCQgAQlIAJCBBCQgAQlIQAISkIAEJNBxgRw7KrfOmhaSPa21hhWx8YfuOwrXX3SSb7r2ghNM/j/+nmuGbzErMc4mfTgNfLDp06+8Dz4ANcfuvNPpjKoU3sXdvVtZQN5+fXqY4HNAot8Kg+tLl6+Ed+Ld4QvtiwjM8qp94eD6O58GJwaTvcHyWPu3qqoGb7z7GfbZdVsWG/VUagf6a2sbTP658xdj4/XWMMucbbD2EL5g4ZLl5tV/tshOKy4qBMdX90/3LnN4mH2PuxTvffy1ues9Ly/X3A3v3e7/2paFN2+38i72RZKF3lW9RingiDJfJmRTGyUgAQlIQAISkIAEJCABCUhAAhLIfgH1UAJZIVBUBJw/Njfp0+kn5bbLb9MN1jTB8lA7Ww5PiJHDq4Tafv8Tb+D04w8wQ8pccubR2H7rjRHtz2r9e2PFyqqA7BxKhmOTc7iWgA32Sk1tPbYcti5uuPhk37TJ+kPhDdpfc/7xePqeS33TbVedbu8FROqfyRA0e//j6eYCBMe7D9oU9WrP7uUBd/r/868nuN2tvLRVGQzG19TWwTscjX+GZStWmfHyH739Qtx9/f/hvDGHYe01BvqyWJYFjufuTWjLwpuPd9oPtP2963qNTsDzbogur3JJQAISkIAEJCABCUQU0EYJSEACEpCABCQgAQlktsCiJSvAh3P6T+wRh4R5873PMHXa9/ht1r94+lXPA1G5LS83B5tttDYmf/oteOf3x1/MNPm4jVNZaQmWLKtAZVUNGCR/96OvmRzVxMDxn3/PDcjLtrC+s664B1/N+NU8AJR3wj/49Fu46IYHAvJ6VzgG/FbD1sP/7n4WCxYvBx/0ynHnn3jpXZOFZYbrn8kQNHv57Y9x0N7bB6XGtrrziM3NQ0m//3kW6P7sax+Y4Xp69ShvVdAag/uDw9FceN14cJx9DpnDB6EyI+9m5+v8hUtRXVMH+n/z/R9MMtO6a65mjhnv+F+xshIcTieShdnJnv35zzysv9Zge0n/YhFQwD0WrUzOq7ZLQAISkIAEJCABCUhAAhKQgAQkkP0C6qEEOihwx0MvY/SxFwdMLHL3UVuif5+eGHPhbTjwxMuZFDAdf9geeMUOQm8z+jSMu/dZ8O5tC5bJc+p/9sMHn0zH1va2Y8/8HxggtixPWNLyZDH5Qs3WWn2gCTAzkO/dblkW7r7uTGxpB9CPP/tGDN/jFOx51IV4/Z1Psdv2W3iztXr93yWnoEtJEXY59BxsusuJOOy/V2PlqiqTb/c2+mcyNc84/jyD5LvtEL4uk9Vup3kNmnmTTzhiT2y83lAccdq12OmQs83d7uMuPQWW1RrFsizcee2ZqKtvxJ0Pv2y/NmDwwD4oyM8zAfRz/nsoLhv3CLbcawxuHf+CCc5blqecjdcfis03Xgs7HPh/GLHfWHvfRkSy8Db3zXc/wzpB4+d7t+k1vIAj/CZtkYAEJCABCUhAAhKQQPwEVJIEJCABCUhAAhKQQHoLfPjS7fhpyuOtJra6a3kXMwzL52/ei5mTH8HRB+7GZN+004jN8NErd4BlTHx6HF579DqcO+ZQs50PJ+W2d569CZ+/da8p5/4bzzbb1l97iKnPO5a6SfSbbbju6uYBoY8+N9EvFWB7OL7895MfxeSXbsNnb9wD1jt6120C8vmv9OnVDaz3m3cfNO1kP8488SCTheVxqJlw/TOZmmdvvfc5Dtxre5QUFzanhH7ZyG47PS3LE/hmLrZxz5224iI4Jvsd15xhTLxuQ4cMMNtCzTZefw08fsdFpp9jTzgQS5atxKABfUzWE4/YC19NHI8PXrwNbz5xA9597mYcZ18E4Ubajh93rqln+jsPoqgwH5EsuM97H08H74bfe+etuaopBgEF3GPAUtasFVDHJCABCUhAAhKQgAQkIAEJSEACEsh+AfUwDgLlZSVgADdUUUxnIDfcNo7HzuFnQm0Pl2ZZFi4/61g89MwEfP3dr62y5eQ40LdXdxOAb7UxTEJhgSfgzPYGZ4nUP2/eOfMW45DRO3hXO/zK4W7CufkXPvbSu3D0GdfjnKvuxV5HX4hNNhiK4Zus48vCCwD9enf3rQcvsJ4iO9junx7KYt7Cpbj29idw9XnHt3lRwb8sLXsEFHD3OGguAQlIQAISkIAEJCCBFAqoaglIQAISkIAEJJBZAqsP6osbLzklKY3m0CmP3HoBKlZ5hn9JRqWR+nfbVadh4/WHJqMZAXX830kH4cC9RpqhdG689L94YNy5cDha7p4PyNyBlQWLloEPt+W3FjpQTKfdVQH3Tnvo1XEJRCmgbBKQgAQkIAEJSEACEpCABCQgAQlkv0CMPezVoyv22W3bGPdqf/atN18fu24/vP0FxLhnsvsXTfPWXXOQHXDfHofvtxM4TA/v7o9mv1jz8K5577A3se6r/ECnCrhXVdfi3/mLUV1TF9Ox/2DqN1iyrCKmfZRZAhKQgAQkIAEJSEACEoiPgEqRgAQkIAEJSEACEpBApgh0ioB7TW0dDjjhMmy196nY48gLzNN6r7/zKTidLnOcJk/9FhuMOq7VVN/QaLZffMND+P2vuWZZMwlIQAJ+AlqUgAQkIAEJSEACEpCABCQgAQlIIPsF1EMJRC3QKQLuLpcbO4/YHO88exO+n/woxo87B8++Nhkzf/7TQLnhRnFRISY+PS5gys/LNds1k4AEJCABCUhAAhKQgAQkkJ4CapUEJCABCUhAAhKQQDoJdIqAe5eSIpxxwgHgk5A5tlH/Pj3MMSjrUmJeOSssyAMfwOA/WZbFTQHTshWrcMr5t+DxF98JSNeKBCQgAQkECWhVAhKQgAQkIAEJSEACEpCABCQggewXUA8DBDpFwN3b47kLluC2B17E2MvuwqnH7oc1Vx/g3YTlFZW45H8P4erbnsDbk79Ek9Pp2+ZdWFlZjZPOvQkM4B990K7eZL1KQAISkIAEJCABCUhAAhKQQBoKqEkSkIAEJCABCUgg2QKdKuBeWVWDOfMWg68LlyxHY2OT8e7TqzuOP3xPrD6on1m/4NrxGHfPs2bZO+ODVk+/+A6sNqA3xl02Brk5OWZTfq4DmtLTgAcoT8dH52cWngPxPq9ZHt8v+ixL6meZ3psZ+t7MzbHgsKDjl6HHT59zjrifu/wdwi+Fyjb+tjJ1IC/Xivs5m0rXHPsXiP0vq/qUSk/Vnd2fO3yv8D2TiuMM/XRqgb/nLMC0Gb+0afDB1G/w429/t8rHG3gXLVkB73MhW2XwS6iprQ95w69flrgt/vDLX/jlj9lxKy9UQd6+L1i0zPfcTP98HPKb8Vjm809P5fKHn36L73+eFfcmOAJLzO619dYajDuuOQMTnroR7075GpM+mmY6vNG6q+O8MYfh5KNG48pz/oNrLzjBjPHufwJceuPDmPHjHyZfXm6O2Y+z0uJcaEpPAx6fsqL0bJvOGR2XjpwDxQU5KCvJi9tUar9P+J/ZeJapsuJ3fGSZXpbFBbnItf8foOOSXsdFxyN1x6Ok0H5POBxx+52kY5m6Y5mO9iX2Z25H/s+UbvsW2f+Hy8/LSaO/H3PVFv09n7bnAN8rfM+k4n3MWEJnnb794XdsMOo43zR12vedjoJ9fuDJNyP2+90pX+HqWx9Hz+7lvnxz5i3CmAtvxSY7n4idDjkbm+12Mk44exx++LV1UJ471dY1YIs9/4tPvky8MQPd/3fF3Vi8tIJVd3j6+IuZuOfR1wLKeeGND3193+Wwc7Hr4ecGXJDgPlvtfSp2PuQck+/Ft6YE7B+vlUeem2jHfL+KujjLvrp34rk3x83GW7HDu9CZXstLS9CrRzl4xSlUv3v16GaSm5pahpXZZ7dtsf3Wm9hvnttQsbLKbOds2aoGaEpPA3N8KtOzbTpndFw6cg6srG7E0pX1cZuW2+8Tp8sdt/Li2TaVFb/jnFGWcTy/493vVTWNaGh06v2Sxsco3sdc5UX+HKqoakCj06X3hN4TCTkHKuz/83Tk/0zptm9VbRPqGpz6+1F/Q+sciOIc4HuF75lUvI8ZS+is07AN18I7z95kuv/qI9diuy02MsuatQhwuOnr7ngKN1x8Mvr26m42MO2gk65EXm4uJj0zDjPeewivP3YdevfqBl7EMJmCZgX5eXjpwaswfJN1grbEf/Wb738zo3xsu8WGcSmcQ3YHfwuguKgQ48edg68nPYAvJtyHNYcMwG3jXzT18eLCedfcb56vOXPyI7jz2rHmggXLMRniOJv585+YNXtB1CXuuO0w7GvHfG8MGukk6gLCZOwUAXfemf7sa5PN1YqGhka8NmkqZs9dhM02WtuwcNs33/8OngD8asODT7+FrYath8KCfLOds51HbIZbrzwN5WVdcOrFt6Omtp7JmiQgAQlIQAISkIAEJCABCUhAAhLIMgF1RwKdUcCyLOTn5Zmu5+flwuGwzPIRp10LxsoOPvlKbLHnGNxqB1IZQ1u5qhqH/fdq+A+tsmRZhUnjHd9utxu883mvoy/EyP3H4vYHXwLjbiz0rfc+x7W3P4k33/sMvDP85vueR119A66/8ymTl/WcdN7N4BAvzD9/4VKMvfROUz/T353yNZNDTgwGH33G9SbO583AO9d5xznv9maAnCNZsI6dDjkb9z3xRtRDu7z+zqfo36cnRm61sbdoPPHiO3YMMQ83XX4qBg3og3w7mL7W6gNx4yWn4LB9d/Tl81+g7Q13PYN5C5YgkiP7z758+8MfZneu05x9YMK7U74C+8LlcBPbfEZFuWEAABAASURBVOBe29sXBFpG7PDPy2AzY6P3P/kGjhl7AyZOnmbsmM7jtu9/LsEzr75v0hhPHW/n+/aH381xZlt43Paxg9Y0KS4qQFmXYpSVlqBreSn489WMX+w4ah2O2G8nM0T3LiM3x+CBffDxF99xc8iJx4v1bjDqONMm1sO+M/NTL7+H3Y84H9zG9t33+OvguUaLL6b/jOde+8C07bJxjzA72jp3/nvMvuau+L/mRB+oNwVHmDkibMuaTbk5OXj42QnY8eCzMGy3k0HwC08/Aptv7Am4L1y8DMeeeQOG73GK+WoDD9I1F5wQ0H+H/aHDk+b+/51tvxGqcM5V94QcjyhgJ61IQAISkIAEJCCB+AqoNAlIQAISkIAEJCCBLBFw11Sh6qqxSZ+qb744JkGOcT3h/S9wwuF74ebLx+D5Nz7E9Jm/orysxEyvTpzqK2/ShwzW1pvA80R7+RY7OH/G8QfiwZvPw9//LsC9j71u8i5bscqU89zrH2KLTdfDBuusjqdfeR/vfPQV7rnhLDx2x4XYZP2hWLp8JRqbnGCQvdQO5D5518U4cM/t7bjcvZhnB+FNYUGzjdcbit9m/Yspn8/wbWGb1x66mrmIcP0dT4FjmrMvZxx/AB57fpJ9YeAjX95IC7/9OQejd90mIMuPv/6NPXfaGkWFLTfuejP438zrTfO+8gZh3tAbyZHPm+TFj2kzfja7ffjZDHOB45MvZpr1qdN+AEfyMCshZlXVtWDAfd/dtwux1ZPEIDovdPzx1zzssv3m6Nu7u3m25Qw7yH/zFafi0rOOsQPuH+CDT6ajV4+u2GPHLTF0cH+cd+phZuKd/Z6SYC6gnHXFPfj5939wytGjTfKipStMgJ0XIkyCPeP+CxevsJda/2Pge8yFt2H4puviufsuxxH772z6zMA+c/fp1R0XnnEk+C2Cq887HvfaAXcOzbPpBmthHfsYM/DPth114C5RnTu9e3Y1N17/8ddcFh+XyRGXUtK8kI3WWwOTX7wNn75xt/lqzHcfPIJjD9nd1+pz/nsovnn3QbPtszfuwdP3XIqB/Xr5tn89aTy2Gb6BWe9a3gUTnx6H8ePORU5Op+Az/W57phwSkIAEJCABCUhAAhKQgAQkIAEJZL+Aehg3gaYmNP08I/nTbz/E3IWrzz8ee+28FUZtuyl2GjEMX37jCQAfss8oO1j9obn7mYW+POFjHHHAzlzEc69Nxm47DMfqg/qa9VHbbGoC6t5nJm5sB9SfuecynHjEXqbsuroGcGgSBqk3WHsIxp5woB2MXxccEoVBYd6lzYJY3oZ2gP5jO+i8vKIStz3wom/6YOo3JvB9wJ4jzQgXzM+77qd8/h2YVlNbh7cnf4kxx+5n+sIyD9p7e7w8YQqztjkxuM671/0zsm19enXzTwpYZnDfv42/2kH7gAz2SiRHxiQ5MoedDe9N+dq0+/2p07mKr7/7FVsOW88sh5q9bwfJ6cwAd6jt3jQ+1/K2q07Df+x4KZ+B+ZLtsd8eI0wwn3esb7fFhmCdvBl5yGr97AstXcyx2cIOivvHR/+avQC8mOJ0urCqssYUv6qy2hxXs9I8KyjIR2WVZ3tzku+FF126dy3FFWcfC7Z9V/sigG+jvcBzavCA3vj1jzn4Z+5CMC9feQy6dyvFwP69TdvYj0jnjl2U79+6aw7Cn38r4O4DiXbBsix0Ky/FajZ6Xm5Oq934ZuY2BtRbbVSCBCQgAQlIQAISkED6C6iFEpCABCQgAQlIIJMEcnORu/6w5E/rbNQhJQZga+o8Qy3vsPUmJpj64WffmruQZ82ebwfPtzblz7aDodNn/obr73zaTK9OnGruQPY+G7GkuNDccW4y27ODRu+AAX174sATL8eWe51qgug1tfVmSBB7M+546GVTDsvLy8u1g/z1cDqd5i543gnPyRvEPWDPEfjs6x/NvrzTnoFb3v3sfZ7jBusMYZFmYvB+7oKlZrmtGfvXzQ4G++fj8CgcPcM/zX+51r6QwLZ5p/qGRv/NZjmSIwPqX0z/Cf/OXwze/X3JmUdj8tRvzTrHQR+20VqmjFCzV97+BIfYrqG2+afxWHjXvX15deInPu9f7OA2RxDx5gn3etbJB+Opuy8BL2Sce/W9JhuHl6mxL3SYleZZfX0D+I2F5tWAFw4BE2m8eQ51s+9xl+K9j78GL7jwXHDZAf6AQppXWBYXQ507TPdO3buV4d8FS7yrHX51dLgEFSABCbQpoAwSkIAEJCABCUhAAhKQgAQkIAEJZL9ALD20irugy1V3J30qOf9/sTQzYl4OE3LE/jvhlQkf4813P8P+zXdFcycO/XH0QbuakSQ4moR36tm9nJtbTf16d8ejt1+ID164FZeddQyee/1DvPPRNPToVm6C+o/feVFAWbwznkOc3HDxyfBOB+w50pS73lqDwemt978Ax5E/dJ9RJr171zLz6h0PnCv//LsQvXqEbhO3+0+8U5xjrvunsR7elR0cVGaeGvuCwZbD1vW1j+3kUDnc5j9Fclx/bc/FgfufeAMcK50XJYZtuJYZSoV1hxtShn3ksDW7bj/cv6o2lxl8ZqZrzj8+wPu2q05nMizLMmOmm5Uws9UH9TPB8Cb7gkifnt0we+4iNDY2+XL//tdc9O0d+lsBvDgy65/5vrz+C7x7nmO48zy5+/r/w3ljDsPaawz0zwK7cb71HhHOHV8me6FiVZW52GMvxuWfAu5xYVQhEpCABCQgAQlIQAISSGsBNU4CEpCABCQgAQlEFOAzDRsaPXdfN9jBUT5gNOIOzRsZ5J424xczzvdBe+/QnAoznAwftsohVZxOF+bMW2zuWvdlCFrggzn5MM5ePbuaYVNKuxShqLAAm264psl5073Pm4dv1tTWgcPJfDD1G5MebnbE/jvjrkdeMcHe3UdtYbJxvHQGq59/YzIWLFpmxhp/6/3PsfOIzc32tmbrrzMEs2bPC8j2n0P3QF19Izh2Oe+A5x3tHEP+ohsexEsTpgTkjbQSzjEvNwfbb70J3rAvaOw60tNO9uet9z7HdltsGLZI9osXQMLdSR5uRwbwtxq2Hv5397NYsHi5GQedD8Z94qV3zS7rrrmaGSOfd+yvWFlpx7fduO/x1zHz51m2Q4MZW/+xFyaZcdF5VzyHneGOz70+2TyclseNd+bvsM2mTG41bb3Z+vjlj9m44a6nwSFxLrz+QV8e3s3OFd65Xl3jOQ+++f4PJpmJ31b47qc/wW8RLK+ojPrc+X3Wv60D96bE9s0UcG+fm/aSgATiJqCCJCABCUhAAhKQgAQkIAEJSEACEki1AO+G3uPIC0wzOKzLZ1//YJZDzSzL8iXzbubNNlrbPBhzWHNwnBuPswPRo3fdFoefeg023vkE7HnUBfj+l7+4CbB3d/iVAfuHQdJjxt6ATXY+Ebscei622XwD7LrDcDOO+IM3n4tPv/oeW+w5xkznXXO/XYRdiL1fuH8MSnPbkQfsbO6Q5zKnay84AfMXLsMuh52LQ065CmuuPgCnHD2am2BZkctcd+ggvGkHuk3m5ln3rqV49r7LwIsU+/7nEgzf4xQzLM68BUux+cZrN+cK/eJfXThH7rnt8A1MH4Zvsg5XsdOIzczr8E3WNa/BsyanEy+9NQX77T4ieFPIdcuyAtL/d8kp6FJShF0OPQeb7nIiDvvv1Vi5qsrk4R3om2+8FnY48P8wYr+xdpC90QTZjzztWmy++ynY7fDzkONw4BrbmTtw3HfejT7u3ufMsf2/y+8232AY2K8XN7eaBg3ojSvPPQ7f/vAHHn7mbay1xgCTh+O+czijc/57KC4b9wi23GsMbh3/AuhvWZ72825+jtm/2W4n48zL7orq3GF+Dj+05hBPPaayDs4UcO8goHaXgAQkIAEJSEACEpCABDJcQM2XgAQkIAEJSAAMmv805XF4p5FbbWxUuD5sw5Zxwi/9v2PMAy3NxuYZx+2e+PS4gIA1h0m58PQjMHPyI/jwpdsx/Z0H8fgdF5k9GIx/8ObzzLJ3dsLhe/nyfjHhXlx/0UngHdLczvpZ/udv3YuPX70TX028HzuP9ASduT3UxIAx2872+m9nYPvNJ27ARy/fAZZ37w1n+cYTP+bg3cywNv75/Zd5F/qff88z48P7p/NBquzbjPcewvvP34KvJ403Y5nzjmv/fP7LbBvN/dNCOXI728UyvXd4c1gZ7j9yq9Dj8X8x/WcwrzdAzzLCTfffeDZOOnLvgM19enUD079590Fz7HgMzzzxIJOHx2T8uHONHY9pUWG+OVbs+7vP3YzP3rjHDEXjH1Dfabth+H7yo3jPtvnu/YdxxP47m7LCzQ7cayRefuhqvPDAldhq2PomW7/ePcwrhxL6auJ4fPDibeBxZJ3HHbaH2cZj+9qj1+GT1+7CY83nWlvnzkPPTDDn0lAF3I2hZhKQgASyXkAdlIAEJCABCUhAAhKQgAQkIAEJZLIAA7QM4DIw21Y/vHn5GiovhzvhGPCW5bmjOVSeaNN69+xq7oCONj/zcUiaK84+Fpff9AgWL61gUsDEiwz9+/Y0d6MHbIhiJZ5Zfv/rX4w5dj84HB1zKizIB49dqOPBY+F/TNl3Btm7lncJ2ZWcHIcZJ50XAkJm8EvcZvTpOOX8WzD20jtxzNjrMfaEA+FfV0lxIfr17u63R+Bij25l4FA8/qlsb/C5M3Xa92YopIvHHu2ftcPLusO9w4QqQAISkIAEJCABCUhAAhKQQNYKqGMSkIAEJCABCfgJjN51G5xzyqFYsHgZ0vWHd4F7HxSbrm2M1K47rjkDO4/YDKO2HYYXH7jKvniwb6Ts7d5WVV2LJ+68OGLwvj2FK+DeHjXtE1Gg4lcH/nxBp1ZEJG2UgATiIKAiJCABCUhAAhKQgAQkIAEJSEACyRWwLAsMum+y/tDkVtyJauPDYA/bbycctPf22GCdIQAS0/k9d9oK0Qy7E2vtiorGKqb8bQqUDnGhy2DA7WozqzJIQAISkIAEJCABCUhAAhLIXAG1XAISkIAEJCABCQQJKOAeBKLVjgvkFAJ9t3bB0tnVcUyVIAEJSKCdAtpNAhKQgAQkIAEJSEACEpCABCQggeQLJDskmvweqkYJSEACEpCABCQgAQlIQAISkIAEki2g+iQgAQlIQAKdUkAB90552BPb6er5QMWfQPX8jj0JObGtVOkSkIAEJNB5BdRzCUhAAhKQgAQkIAEJSEACEpBAYgQUcE+Ma/tKzZK9mqrtQLvTwrIfAVejvZwl/VI3JCABCUhAAhKQgAQkIAEJSEACcRFQIRKQgAQkkLUCCrhn7aFNXcfcbrtuO85e1BOoXWov658EJCABCUhAAhkjoIZKQAISkIAEJCABCUigowIrV1VjxcpKuE2QKHRpf81ZgK9m/Bp6YwJSGxubsGDx8qhLfnfKV6YPUe/QnHFlZTUmfTgtbN+//PZn/G33vTm7XrJQQAH3LDyoqe5SyQA3uqzmRvmO6yvbAAAQAElEQVSabjhyGH2PS4tUiAQkIAEJSEACEpCABCQgAQlIQALZL6AeplBgp0POxgajjvNN+/7nEnz8xUxMnfa9L81/u3f5lz9mw+l04bnXJ2Pk/mOx7b6nY8R+Y7HlXqfitgdeDNmjT+xyH3zmrZDb4p344Wcz7DadgbGX3ondjzgf02f+1mYV51x1H/75d2Gb+YIzzJ2/BOddcz+cLlfwJrN+72Ov4/PpP5llzbJTQAH37DyuKe1VXgmQWwTklwFFvVPaFFUuAQlIQAISkIAE4iigoiQgAQlIQAISkED2C5x/2uH44MXb8OYTN2CTDdbEaRffbl4nPPk/cLr7ujMNwtP3XGrWmTZ0cH88+vxEO7j+Ei4eezS+njQeU1+/G1efdzwmfPCFyZ/K2XV3PInT/rMfXn7oauw0YjOMf+rNVDZHdWe5gCPL+6fuSaBzCKiXEpCABCQgAQlIQAISkIAEJCABCWS/QBJ62L1rKfr17g4G0UdsuRGKiwrtqQCrD+pnpgH9eplWDB7Y16wzvba+AXc89DLOG3Mo9tp5Kzt/IVgOlyc+Pc7kDzVbtnwlLr3xYWyx5xhz5/lnX/9osjU2OXHYf6/G7LmLzDpn9z3+Op56+T1wyBZu++GXv5hspsVLK0z+OfMWm/XgWZfiIixausIkc6ib4qICs9zWbMrn3+Hgk6807bt1/IuorWswu/Bu/oeemQB+I4Btv+iGB8FhdMzGoBnbdMr5t5hvCOx19IX49c85QTm0mm0CCrhn2xFNg/6ssj/vapo/36r+tVAX/fBYadB6NUECEpCABCQgAQlIoD0C2kcCEpCABCQggewQ+HTaD3j2tcm4/8k3wDvDLznzKOTm5ETs3F+z55vtO4/c3Lz6zwoL8v1XA5Z//2su+trB/VuuOBVrDO6Py296xGx3u1z48be/7QB3vVnnbO6CJSZoXl5agu7dyvD8Gx8y2UyvTZpqhnAZNCD0UAuXnnWMCdYfcMJlJoh/8RlHYeLkaZg89VtE+vnosxk44fC9cPPlY0x902d6xpx/ddInePDpCRhz7H647arT8Off83D5zZ62+5fX5HRizIW3oqa2Hvf972xcftaxKO1S5J9Fy1ko4MjCPqlLKRZoWGXB1WB5WmG/VM2xZ541uF3NC3qRQPIEVJMEJCABCUhAAhKQgAQkIAEJSCDtBCqdDThv7udmumbBdF/7Ep3uqyjMAh9mOn3mb+C47KVdivHY85MwqzmgHmYXLG6+e7x717JwWUKmbzN8A4w94UDssM0muPaCE7BoyQrMmddyV3vInezEw/fbCa+/86m5q5xB7adfeQ/HHrKbvSX0P96pzrqcThfKS4vRrWspPv7yO8z8+c/QOzSnXn3+8eaO/VHbboqdRgzDl9/8bLa8OnEqRu+6DQ7dZxRGbrWxHXjf1wTvg+9yn/nTLBPgZ9/YR7ZhQN9epgzNslfAkb1dU89SJeB2A1ZzjL2olxs1C+H7WTrTQrXnoqcvTQsSkIAEJCABCUhAAhLIbgH1TgISkIAEJNBaoDQnH7cM3NZMV/Qb7suQ6HRfRWEWjj1kN3PX9l3XnmnGce/dqxuef31ymNye5N49u5mFpctXmtf2zHp2LzdD0TDQ39b+2225IfrY7eL48Hyga119I3bbYYuQu3EIlydfehc3XnIKHr/zYhPUP+uKuzFvwVIMWa1vyH1CJZbZFx9q6urNprnzF2Pj9dYwy5xtsPYQvmDhksBhHuYtXGL6xGF3TAbNOoWAAu6d4jAnt5PlQ90o7GlH3e1qcwqAfiPtheZ/Vg7gamxe0YsEJJB6AbVAAhKQgAQkIAEJSEACEpCABCQQRoBDyawxqB/+/tfvbsoQedcY1N+kvv9Jy536JsGecTgV+6XNfwxW19TWoVt5GSyHJ2TZ2NgUcj+268gDdsEzr76P516bjKMO3AXhhq6ZPXehKYP7cFz5R2+/0ATdZ/z4B7bebH2zLdYZLw743/X/T7NPt/LSgKI4TA77xClgQypWVGfSBDxnb9KqU0WdQSC/DGCg3dvXvBJP8J3rOXmA221xUZMEJCABCUhAAhKQgAQkIAGIQAISkIAE0ktgeUUlFixeDg4t89Z7n9tB7Q/MsCmRWlleVoLT/rMfbrjraXA89cqqGixZVmHGSR997EVhd61YWYVVdl7eGf/Q0xPAgPiG6w5BXm4ONttobUz+9Fuz/eMvZoJ3svsXtP8eI8xwLXzQ6sGjd/DfFLA8dPAAs/7wc2+DD1xtbHSipLjI3Hl+xS2Pobb5QagmU5SznUdsbvftS3z/8ywTvH/2tQ+w3lqD0atHeUAJ6645yNTD8d75YFeOGc877gMyaSXrBBRwz7pDmt4d6raeG2VDWgLw6d1atU4CEujkAuq+BCQgAQlIQAISkIAEJCCBTidw833PY5dDz8E+x15sHpx67phDcfSBu7bpcMox++K8MYfZQfdnsPXo0zDqoLNwpR3QHr3LNqH3tWAC5tvYeXc48P/wph3cv/XK002Amjscf9geeOXtj8Ht4+59Fryr3ILFTWbi+nZbbIidthuGgf16mbRQszVXH2DGh//QDt5vu8/p2PHgs7DPrtvg/edvAQP+p198O+obohuOwbI89Z9wxJ7YeL2hOOK0a7HTIWebMe7HXXoKLMuyp5ZW8K76s085BA89M8HUe89jr5qHplqW1ZJJS+kgENc2KOAeV04VRoEVPzvQsIpLmiQgAQlIQAISkIAEJCABCUig/QLaUwISkEByBT586Xb8NOVx3zTx6XE44fC9kJPTEkJcZ+hqZnv3rqUBjeNd6ccfvie+njQen7x2Fz56+Q5Me/t+nPPfQwPyeVeOO3QPk/frSQ/gnWdvwhcT7sWWw9b1bsZOIzbDR6/cAbaJ7Xjt0evA4L83A++M593tHFrGmxbu9cC9tgfLmPzSbfh+8qM4bL+d0LW8C15+6GpwiJmC/LxWu9Jh2IZr+dIv/b9jcMXZx5r14qJC3HHNGfj8rXt97Rs6ZIDZtv7aQ4wPg+1MOPKAnU0/2Q/2ga9M4zZN2SnQ8m7Jzv6pVykQqFvhhtsZ+kqdmze3c0pBu1SlBCQgAQnEUUBFSUACEpCABCQgAQlIQAISCCPQo1sZevfsCocjdHzIf7fiogKs1r83vAFq/21M48NR/dO8yxy6hne2bxXDOOx9e3UPuHjgLau9r+WlJebhrWjjhwH6cP1oY1dtzkCBrAu4Z+AxSFiTG1YCNYsSVnzYgt0ue5MVOqpeOdvC8p/a/rC1S9A/CUhAAhKQgAQkIAEJSEACEpBAWAFtkIAEOrfAGoP64ebLx0QV1O/cUup9sgUUcE+2eBLra6wGqucl/xD32AjI6xK6o44cwOUMvU2pEpCABCQggSwRUDckIAEJSEACEpCABCQggQQLjNxqY2y8/tAE16LiJRC7gCP2XbRHpgjk5FtwNvjfaZ6clhd0dcORG7ouK4ft0R3uoXWUKgEJSEACEpCABCQgAQlIQAISiIeAypCABCQggVQJKOCeKvkk1Fu9AMjrwgB3EiqLsoqS/kDPTVxR5lY2CUhAAhKQgASyTkAdkoAEJCABCUhAAhKQgAQkkMUCjizuW6fvWkOFhdLVks+w5FsHXI2Zdxd78qVUowQkIAEJSEACEpCABCQgAQlIQALJFlB9EpCABBIpoIB7InVTXLazAXDkJ78RtUvD31XvtjeZh6omv1mqUQISkIAEJCABCaS7gNonAQlIQAISkIAEJCABCWS4gALuGX4AIzW/56ZuVM6xADvIHSlf3Le57Dqt0JU2rgIWfqbTLu7mCS9QFUhAAhKQgAQkIAEJSEACEpCABCSQ/QLqoQQk0FEBRT47KpjG+xf2cKPqXwvO+uQ2svdwN6ycMHXaZ5zL6Q6zUckSkIAEJCABCUhAAhIII6BkCUhAAhKQgASyTmD6zN8w6595SevXshWrUFVdG1V9f81ZgK9m/BpV3uBM33z/O/78O3S/XC43Jn04DSsrq4N303qWCNjhzyzpiboRUiAnH+DQMiE3JiixsKcblhW6cEdu6PTOkNpYBSyd2Rl62vn6qB5LQAISkIAEJCABCUhAAhKQgASyQWCnQ87GBqOOazXd/uBLrdL887Hv3PfN9z7jom+aOHkaRu4/1rcevPDIcxPx4WczgpPjvl5X34BTzr8Fh5xyJfY97hJccO34Nuv45IuZePCZtwLyRbvy6PMTMfnTb0NmdzqdOO+a+zF/4dKQ25WY+QIKuGf+MQzZg4ZVFpb/bKFsDRcceSGzpCQxtwgYMMqdkrpTXWleF6B+uQONuoCZ6kOh+iUgAQlIQAISkEC2Cag/EpCABCQggbgJnHXywZjw5P9808Snx+E/h+7hWx9z7L4Y2K+Xb33SM+PC1u1O+jjHoZvy/sfTMePHP8G+vPLwNXh78pf49oc/QmdWqgQ6KKCAewcB03V33k3trAO6DAQY5E5WO/lA1EVfhbm9PVmNSON6ivq4UbtIPml8iNS0uAuoQAlIQAISkIAEJCABCUhAAhLIJIE+vbph9UH9fNPggX3QvWupb71n93IU5Of51gcN6NOh7v3yx2ycdN7N4B3zR59xPf6dv9iU99KEKbh1/ItmmbMFi5fjsP9ebYaE4VAvzFtT2zKO8sdfzDTlcMgW5vefSooLUVNbh4pVVVhVWWM2FRXmm9dIs4qVVbj29iexxZ5jcMzYGzBtxi++7LNmz8cJZ48z7d73P5fgPTuo79sYtPDF9J/APOzjsf/3v6Ct2bKqfngFHN4FvWaXAMdtzylIfp/cTqB+hRWxYuaJmCFLN7oagfLV3egyqHPe4Z+lh1XdkoAEJCABCUhAAhJIdwG1TwISkIAEYhJ4d8rXuOfR13zTfY+/HvX+wfu+8+G0Nvf9+rtfsevIzXHbVadhecUqPPj0BLPPkmUrMXveQrPMWWNjI3787W84XS5svP4a+G3Wv3j/k+ncZKYnXnwH6681GA5H67jUiC03wvZbb4JDTr4Sx599Iy4640j07d0dtz3wIqpr6sz+oWa8GFBUVIC7rz8Tawzuh5vve95kq29oxMn2RYIuXYrwxJ0XY48dt8TZV94D5jcZ/Ga8gMALChuuuzqeuvtSHHPQbn5btZiNAgq4Z+NRtftU3NeN8qFA7RILdcvshCT94x3uVhtn1Zx3HWC+JDUpbaqpngesnOVAZx7HPm0OhhoigTQRUDMkIAEJSEACEpCABCQggc4r0FjnxvcvOs30y5suH0Si030VhVlYuaoaCxYv85uWh8nZOjl43xUrq1pnCko59pDdcdh+O2H3UVvirJMPwZTP2x7TvbAgH0fsvxOeffUDUxofcMq7zw8ePcqsB8/mLVxqB+jnYNcdtsCiJSvs4Hl/8O51jiHPAH5wfu/6NsM3wHljDsPWm62P4w7dwwTU2Uc+7JXlXDz2aAzfZB2cdtz+GDq4Pya8/4V3V98rx7HnNwSuv+gkbLbRWth1+819mfrppAAAEABJREFU27SQnQKhQqPZ2dNO1isOI5NT6EbDKjvovrj1lb1EcXC8+F6buyIWb+UAnfEud1eTBSvXbfreGS84RDwptFECEpCABCQgAQlIQAISSIWA6pSABFIokFdoYeNDc8y03r4tIbpEp7fV5UP3HQUGh73TtRec0NYuvu3B+x5xwM6+bdEsDFmtL5ZXVGLx0oo2sx88egdzxzvvKn9lwscYte2mGDSgd8j9bn/oJewycjiuOPtYXHnucTjl/Fvw1vufm6FyyroUh9wnOLGkuMgk1dbX20H75Wbffr27mzTOhtnBdF6o4LL/xDvct9l8A1iW5Z+s5SwWcGRx39Q1WyAnH+BQJvZiUv7x7vbCls+akHWyTZ0x4MwLDXkl9gWQZcCSb/TWC3lytJFY8Zv9y8ndRiZtloAEskRA3ZCABCQgAQlIQAISkIAEOpvAn3/PM10uLytBjsOBxkanWQ81GzSgD7bbYkM88dK7ePGtKTh8v/DBfZabn59rijl0n1G46rzj8MBTb9lB+mFoz0+3rqXmwgDvdvfuP+uf+ejRrcy76ntda42BmL/IDgb5UrSQ7QKK+sV6hDMk/9LvLDRWAQx+F4W+uJeyngzY0YVUjC+fsg43V1zG8dtXc6PYPh61S9Aph9Vppmj3S+VsC87Gdu+uHSUgAQlIQAISkIAEJCABCUQvoJwS6KQCHCrl7zkL4D8lkmLx0hV2YL0JDIo/9/pkOwi+KQry8zBsw7XAoVvmzFsMDgnz2AvvtGrG4fvthLfe89ypvu3wDVpt9yasv/YQvPHOp/jhl7/Q2OREUUEBiosK8erET/DxFzO92aJ+3XSDNc3+jzz3NlZV1eDDz2Zgxo9/YMSWG7cqY6th65ltHFpm6fKVeKZ5GJxWGZWQNQKOrOmJOhIgULvUAscKzy2xA7x93UjWT1ONhWU/WMmqLmPrKVvDndSx9TMWKqjhHLIomd/YCKpeqxKQgATSRkANkYAEJCABCUhAAhKQQKIE7njoZYw+9uKAqb11WbDa3PX1dz7DpruehP2OvxS1dfW47P+OAX84RMuWw9bFnkddgN0OPw8rV1UxOWAaufUmZv3og3ZFTk74MOf5px4ODuty+KnXYNNdTsQLb36Et5+6EdddeCJOu/h2TJ32vSknYGY33eE3DIx30bL71K28FLdccSqee/1DbDP6NIy99E6MOXZf7LCNpz3cz5t/7TVWw547bYXzr70fOxz4f/h65q+mGsuyzKtm2ScQ/kzMvr52qh656pGKu8jhrOe48VZEazN+e/KuAURsSzI3NtUAriZPjd3WdaOol2dZ8+gE+K0AV6NlLiRBPxKQgAQkIAEJSEACEpCABCSQSgHVnaUCH750O36a8niryb+7R+y/M9584gb/JLPMfffdbTuz7J3ttfNWmPr63d7VVq/333g2vp40Hp++cTc+ePE2vPzQ1ejXp4fJl5ebg3tvOAufvHYXpr/zIG676nTTrvLSErOds29/+J0v2Hf3wHpNot+sT69uuOnyMfhq4nh8/ua9eOruS9C7Z1ccsOdIU+bIrVrfmX7coXvgwZvP85XSq0dXk5dlMZHB9S8n3If3nr/FtG/sCQcy2Ux3X/9/OOXofcyyw2GZ4PzHr96Jz9+61/SJxuuuOchs1yz7BBRwz75jCrcdzO430p5ZngBvxR/2QtL6ybrsuiPUt3CahbrlETJk6aalMy00rKRPlnYwwd1y1lso6u1KyYWkBHdNxUtAAhKQQFwFVJgEJCABCUhAAhKQQKYJ8I5x/weQ+ref46IXFeb7J/mWn3zpXRy6747wD8L7NoZYKCkuBMeHD7GpXUm8q35A354oCtM+/0J7di+Pup3++2k58wQUcM+8Y9Zmi/mNlPwyt8nnyAFW/p68IG9eFzd6bOSp2zQgxIxtgit5bQrRhJQkuXh3dl6LTd0yC876lDQlIyulVU5BRjZdjZaABCQgAQlIQAISkIAEJCCBziSgviZFwOl0YZeRm+PkI/dOSn2qRALRCijgHq1UpuazACsXcDUiKT+OPCC/LHJVzMO78CPnyr6tOQVu5PhdkK1bBvAhoNnX08T0qHyoGwXdgPoK+6ROTBUqVQISkIAEJJD1AuqgBCQgAQlIQAISyBaBnByHGRKmf9+e2dIl9SNLBBRwz5ID6d+N2sUWVvzaEpTstq7Lf3PKl3tt5kZR75Y7vVPeoCQ1oM9WbuQUtlRW0N2N+uUtx6llS6dciqrT9SsAXqiIKrMySUACEpCABCQgAQlIQAISkIAEJJBuAmqPBLJeQAH3LDzEjVWA29XSsdLBAO8qb0lJ3BKDoRVJHMImcT1JfMlFPQAOwZP4mrKnhmR+WyN71NQTCUhAAhKQgASiE1AuCUhAAhKQgAQkIAEJdFzA0fEiVEK6CaRyrOumWqCxOrIILwZwipwry7a6gYZVQX2ygO4b2huCkrUaWmDBpxY4hnthj05oBv1IQAISkIAEJCABCUhAAhKQgAQkkPUC6mBWCCjgnhWHMbATpUPcKF2tJShZNddCfUVgnoStuS04chDxp+I3C5V/29HmiLmyayMvgiz6Sm+3jhxVZ4OFol5ue+pIKdpXAhKQgAQkIAEJSKA9AtpHAhKQgAQkIAEJSCA6AUUAo3PKqFy5RYDD7+GcDLY3rLSS0gcGRMuHRq7Kss86l9+QN5FzZ8dWVxPgyG3dl8ZqC9XzrdYblNJKgA/+9X/obKsMSuisAuq3BCQgAQlIQAISkIAEJCABCUhAAtkvkDE9tEOfGdNWNbSdAgz0OhvauXOMu+UUArklLXfXh9rdyrNTI2exM2TZP7eFgq6tO52T58byHxVwj+ZoD9rdBX5TYNU/8orGS3kkIAEJSEACEpCABJIloHokIAEJSEACEpBAi4CjZVFL2SKw8AsLrsaWoGRJPzcKu7cO9qaqv+VruNF17fRpTzIc8krd6Llp6z7zmwgcl7yhMhmtyPw63E4LVbMzvx/qgQSSJqCKJCABCUhAAhKQgAQkIAEJSEACEkiqQEoC7kntYSesrG4ZYOW2BHfzy4HCHkjKD4dHqZzTEuxPSqUZXkn3DTvZ+DrtOF5u+3R220w8r11NOr/aQahdJCABCUhAAhKQgAQkkBIBVSoBCUhAAhLobAIKuGfZEeeQG7xr2kpRTLKxCnDWtYHaHDxtI1dWbeY3Dpx1oQ8KL4bkl2ZVd+PemdrFFpZ8Y4HfBigfap9A0I8EJCCBDguoAAlIQAISkIAEJCABCUhAAhKQQNwFFHCPO2lHC+zY/o48oP+IwIBkUw2w6q/Qwd6O1dZ6b3MXchtnVc0iO3g6Izntad3C1KRUzrGPwd+pqTsbauWFJAbbLfvcKh0SeH5nQ//UBwlIQAISkIAEJCABCUigMwqozxKQgAQkkI0CdvgqG7vVefvEgGRucWD/3W4LDPgGpiZmrXQQ0GVg5LKtHMDdFDlPtm11NQJWLsL+LP/JAoPKYTN08g30yynq5AjqvgQkIIFkCqguCUhAAhKQgAQkIAEJSEACEmiXgALu7WLLrJ0cuW44G5LT5txiN3IKI9+B7IgQeG6rlZm6PScPyOsSvvUcl7x2SfjtnX0Lh5HpupbnvFr5hwVXks7nzu6u/ktAAhKQgAQkIAEJSEACEkiVgOqVgAQkkKkCjkxtuNodWqDqXwsrZwUO18KhOLqtEzp/KlILurnRZytP8DQV9aeizrKhbpT0C9/ngq5uNFQEHrdUtDMT6qxeaKGpNhNaqjZKQAISkECWCqhbEpCABCQgAQlIQAISkIAEwgoo4B6WJjM38KGlocK2pYPDB3vj2dOVf1qoWxKqBW3XUt+JA84l/d0oGdjRY9S2cabm4LMB3M08/LYAh5jJ1L6o3RKQgAQkIAEJSEACEpCABCQggY4JaG8JSCCdBRRwT+ej0462ORssOAqaI5NI/k9DJdoevsZunitoDHcGUBdNa1+gPvm9jL1GXggJ7rN/KXzYbUFX/5QIy7Zf5Wz7wsZSwO2MkC+LNi2YaqGpynN+lK7uQm6xZzmLuqiuSEACEpCABLJDQL2QgAQkIAEJSEACEpBAJxdQwD3LToBu67pQ0r91pzjMTFKG4XABfHArIvw4G4B5HwWeegy4M52B6Qi7ZuymJTMcaKqOT/PteDsaVgErfnVg0VeBjvGpIf1KcfJCUj57DhT3gR1w9yzH0lLllYAEJCABCUhAAhKQgAQkIAEJSCD7BdRDCaRawJHqBqj++ApwvPZQAe+6pUBjZXzrClVa17WBwp6htrSkWTlodWe2222BbecY9MjCH1eTG468yHdlr/jVQt2yyJ131tnbXUCPjdzoN8KFvtvYK3ZStv/jkDI8P7K9n+qfBCQgAQlIQAJZLaDOSUACEpCABCQgAQl0AgEF3DvBQWYXc/IBV2PkgC/zdXTKK3XbgeXIdx8z4B58USCvxI1em7iRrXe45xYBjuY7tMMZ06RumRVus0lf8KnDPo5msVPNBu3u8vWXzwioXexb1UJcBFSIBCQgAQlIQAISkIAEJCABCUhAAtkvoB4mQ0AB92QoJ7GOhV9YCDV0TOkQIL8siQ2JUJVlx5RX260lgOrNWtAdKOzhXcuu175bu+HIjdyn/HKgYWX4PK5GwOUEcgpb8pgx3CNf32jJnCVLjdVA7RIrS3qjbkhAAhKQgAQkIAEJGAHNJCABCUhAAhKQQJYIKOCeJQfS242magsMaHvXva8F3dzg3efe9US9LvvRAh+cGmv5zno+bNWNsjU6WfTYD6qolxvd1gvff15IKe4TuH3p9xaq5vkVkoWLHE6GFxu8XbNy3XA1Wd5VvUog4QKqQAISkIAEJCABCUhAAhKQgAQkIIHsF4hXDxVwj5dkmpTDO6A5ZEuqmtOwwg6EutqunQFUt1/suGquHTieY+/b9q4Zl4MB4/qKtpvNIWXyuoTPx28o9NzUD83OyqFqmmqz083unvlXs9DCsh9a+ljYHSjuF8VJZvbWTAISkIAEJCABCUhAAhkvoA5IQAISkIAEJJBBAgq4Z9DBiqap/bd3wZHXOmf9CqByduv0eKeYIHpLbDRs8fOnOuCsbdnMADzbXT0fWTeOe1MNsPS7xLzVGKB3J2Fs/pYjlfwlfvvB/4GpucVAce/kt0M1SkACoQSUJgEJSEACEpCABCQgAQlIQAISkIC/QGKigP41pGK5E9fJO55DdZ9DcPBO4VDb4pnWYyMX8kraLpF34Zvxx5uz5uQDeaVAwyoLyWhnc7VJeaG9I9cdVV0Vv1vg3f6hMjdWAa6mwC1dBrrRbf3svtub3xAId14HamhNAhKQgAQkIAEJSEACEuh0AuqwBCQgAQlIIM0EHGnWHjUnQQKOPDecDQkq3K/Ygm4Ag+lo4ycn3w1zN3xzPo7dzvHJecc2A8vNyVny4gZdoukMA8v1y0PnXDTNAX4TIPTW7E0tHxo4tj8NeGEie3usnklAAtkioH5IQAISkIAEJCABCXJNx+cAABAASURBVEhAAhKQQOcTUMA9i445h95Y8FnoQ8pAdvmaprNpMeu7jRsckzy4MUU93Si0p+D0TF4v6Ap03yC6O9zzy9xoWNl6TB7e2c5AMwPywRY87sFp2b6+6u/WRtneZ/VPAhKQgAQkIAEJSEACEpBAjALKLgEJSEACKRAIHZ1NQUNUZccFGJDlFKokRy5Q0i+6oG+o/aNNWzzdatdd2HyoKIPKOYVAl4HR1pZ9+fLLgT5btz5OznoLJQNbp1PAjIdfx6XsnFwNAIeV8faOY/27GgO/IeHdplcJSEACEsgUAbVTAhKQgAQkIAEJSEACEpBAdgoo4J5Fx5VjokcznEsiu1y3zALsf2jjh22FX/x46QwHnPVt7JSMzQmog/1qqo2+YA7/E5w7r8SNHhv6gfllyC1yo6k2CnS/fTJpcf5nFpx1gf3rsbHdg9Ac9gb9k4AEJCABCUhAAhKQgAQkIAEJtCGgzRKQgAQSJKCAe4JgU1EsHzraZ8vwD9Bc+aeFhsrEtox3IluBsdGQFS793kL1/JaMvDOfdy4zc+U/FhqruZQdU+UcC1X2lKjecMga3gWeqPJTXa6r3oIjPzC6XjrIDUufXtCPBCQgAQlkp4B6JQEJSEACEpCABCQgAQlkroBCVpl77Fq1nAHInIJWyb6Exhog3AM5fZk6uMCAfzR32TtyEDBMCMdz9wbc61cBdUs72JA02t3daMHKi75Bq2ZZqPjNCtihvsIC75QPSGxe4fjwRX3czWsJfUl64byA4yhwg0MiJb1yVSgBCUhAAhKQgAQkIAEJSEACEuicAuq1BCTQAQEF3DuAl2m75pUATTWBgdx496GwR3QlMrju9osR99naBau5aXld7HZWZ8+pyYBxvt2n6GQAflOhfmVg7qUzLHCM+8DU7F/jRaSBO/qdKM1dXvUX0FjVvGK/NNkXk2oXNZ9A9rr+SUACEpCABCSQrQLqlwQkIAEJSEACEpCABNJbwJHezVPrYhGoXgAs/yl80LHLADeK+8ZSYuLydlvPDQ4LEqoGPty1qFfrIGuovJmQVj7UjaLe0fensKcbbqfl+wYA7/JuqgN4wSRUfxmId9rbQ23L1rS65ZYdcG85150NFir+SHFvVb0EJCABCUhAAhKQgAQkIAEJSEAC2S+gHkqgDQFHG9u1OYMEXI12kNYZvsE5hUBBt+gDv+FLCr2Fgd/FX7cEQUPnap3qtttcX9GSnlsEFGZRwL2lZ9Et8a7uvtu4wFfuwWB62erhj1tTLbBoWna+lXluhBpKx5FnwdXUYpJT4IazPvZzj76aJCABCUhAAhKQQLYIqB8SkIAEJCABCUhAAqkXyM4oXepdU9MCFxDN+OlI0A+Do/UV0QU9edc2JzalfgVQ8Wv2nooNqwDasK/tmXKLgW7rtgSXg8vgBYrGmvDbg/On2zpt+M0M7/ng374Vv1qonu+f4lnmtyMKylvOtaXfWcimb0V4eplVc3VGAhKQgAQkIAEJSEACEpCABCQggewXUA9tgeyNctqd62z/Sga60XXtyIFXBiZdDYmR4Zjs3ruy26qhao6FFb94AqauJgtWXmC7GWhtWGmhYZXVVlFpv33JNxacde3rx9KZbe/HB4oWdAVcjWlPEbKBdcuA+gpg1V+BfeWd+zULLZSt3no3flMjr9Rzzjjt87mx0kKPjT3rrXMrRQISkIAEJCABCUhAAhKQgAQkIAEJSEACyRFQwD05zkmphYFXR17kqppqLTRURs7T3q05+UCvzaMMelpuuJyemiyHGwXdPMu+uV3MvI8ZgHWDD8Rc/mPmnqrmgkKu3SFf56JfKOoN0IEGkfbqu40bbR37SPunchv72G87N/LL7Vb4MdWvsNB7uMtOjPyvYSU8+0bOpq0SSF8BtUwCEpCABCQgAQlIQAISkIAEJCCBrBEIG8XMmh6qIwECeSVuNFYzkB2QHJcV3t1e0NUvYhqhVEe+Bat5OwOu5WsE7le+lhur7+tCfhnMMDlV8wO3I4N+eCd2e4PhJf3cKBucQZ3tQFPNkDDek8Iup6R/cxDeXg7+V78cqJrrycy7+3tt5kL1fAtNtcE5tS4BCUhAAhKQgAQkIAEJtCWg7RKQgAQkIAEJxE9AAff4Waa8JA7DUj3PE4QM1xgGsgt7pD54zUBypCFAeLe+tw85BYC70e5X6pvtbVJMr323doMXI2LayS9z6RA3OI67X1KrRWcd4KxvlZz2CYu/CTyu7EOosdyDO+JssFCzyJPKixmcuF6/3C7Pk6y5BCSQHQLqhQQkIAEJSEACEpCABCQgAQlIIKMEFHBv1+FKz50YdOU46pFal1sE5JVEytH+bbxzftkPsQc8uZ+zjTHO+2ztQlt9a3/LM39PjnW+8s/Y7VPZ84rfLeSX2i3wa7bLDqTP/cBCW2PX84JM8Jj1HNLIWe+2C9Q/CUhAAhKQgAQkIAEJSEAC8RJQORKQgAQkIIHYBByxZVfudBbgmOgMRKaqjQx28uGVUdVvx0VdTZ6cFb8Ddcs9y+HmhT3QobvEkaIftxOoX5H4ynPsCyltjfOe+FZEXwMvnvACQfBDfjn8TvmaFkpXi1wWx3svG2Lnsc+jOe95IvbFfd3IK/Us21v0TwISkED2C6iHEpCABCQgAQlIQAISkIAEJJB2Agq4p90haX+DemzkRlFvOwIZoQgO17HwywQFJV12uQ43IlTv21RfASya5jn9eKdyKi8U+BqVgIWGSmDZj7ZLAsr2LzKvC+BvyIC2//Z0W7YsYPBerpDNKlvDhYLukc9jR54bDLDzPMorsQuzS+JFGTMOvL2sfxKQgAQkIAEJSEACEpCABCSQeAHVIAEJSEACrQU8Ec/W6UrJQAEOqdHWWOHc3lRlwVkX/w7ml7nRff3IgVJvrVYOwLu/uZ5XAuTaE5fDTZX/WKhd5AmshsuTjunuJiAnz0p40/JK3Og5zGNfvaDFNuEVp7iChkoLPO9S3AxVLwEJSEAC6SegFklAAhKQgAQkIAEJSEACEkiJgCMltarSlArkFLvRWB26CbwzumGVHbD1xG5DZwqT6siHHfwMszEomXdjWw5PJd03cCPPDhgHZQlYdTYCvJs5IDETVux3WEE3Tz89zU3snMO0VM+zzN3uq/620FCJtPzhxRZ+26K9jeN5uvR7Dj1jX+TZ0OPrrAcq5yT+4kZ726z9JCABCUhAAhKQgAQkIAEJSKAzCaivEpBAZxWww4GdtevZ1++FXzgQLpDu39uem9gB7i7+KS3LDRUW/nkr8adFbjHQb4QnUNpSe/ilnALA2RB+e7puKewOdF0n+n52pB+NVQDHxe893FNfXhc3Vvyc+GPZnjYvnm6hbml79vTswyFpauZb4HMLuOxJBSp+U8Dda6FXCUhAAhKQQFgBbZCABCQgAQlIQAISkIAEEiaQntG4hHU3uwvmQzM5ZExbveQQLgxgh8pXswjou40b/kHMUPlCpdUttbDyj9gDnnVL2t6npB9gHpIZqmKlGQFHHtBtXbdZ5qyoF8C7vvmNBa6n08R25RS2Pu6xtJH9ZTnefXhO+6970/UqAQlIQAISkIAEJCABCUhAAhKQQHoJqDUSyGYBBdyz6OhymA5HTsc6xIBt2RotQdtYSmuqdaOxJvogqqvRAu/IXvxN2/vwIZl5pe1rVyx9iHfeplqAF0LiXW6o8hhwDk7vu60LodKD8yV73e2ykFvk7lC1pau7sOjLwHOHzxDgOdWhgrWzBCQgAQlIQAKdWUB9l4AEJCABCUhAAhKQQIcEFHDvEF967dxvexc4jnpbrWqstrDk2/CHvr4CYDC8rXKCt7vdFrzjsgdvC7U+511PPVauO9TmrEhbNcsCvzWQqs5wrPx0DLgPGOUC71DviEtuoYWCboEl8GIR+xyYmi1r6ocEJCABCUhAAhKQgAQkIAEJSEAC2S+gHma6gCPTO6D2twjkFrYsR1rKKXCjdnHrHK4GmCFIKmc77CCxu3WGNlKKervBgGcb2XybrRw74N7kRklfX1LEhQWfWxG3p+PGxhogryS17eYd367GdNTpWJsaq4GC7h0rQ3tLQAISkIAEJCABCcQgoKwSkIAEJCABCUhAAm0KONrMoQxZJ8A7gBnsDh7vetHXFppqLOTku+3Ae+xBYgb880oQ9U9uEZBbAHTfMLrgflO1Zbcr6uLDZuTDV+srYu9f2AIjbKBJflmEDEnY5HYBi750JKGm6Kpge+JxAaDrWvYFniGB507NAgvpOGZ9dDLK1REB7SsBCUhAAhKQgAQkIAEJSEACEpBA9gtkQg/TJwqXCVpp3EbenT7/4+gPZ7/tXGDg3dslBqEZ0C7o5kZBdzc6OtyHt9xIrwNG2fXkR8oRuC2nEHDWBaa1Z61moYWqOe3ZM/Z9emzsRk6hO/Yd47gHx/VvqIpjgR0sikHx5T8m5oJHfQVQuyQxZXew29pdAhKQgAQkIAEJSCC7BdQ7CUhAAhKQgAQkYASij9Ca7Jqlq4AZNqQp+sBubjHAu9zR/NOwEihfy7N/cR+gdJBnuXlzVC9V/1qo+jeqrL5Mzrro70jutZkbbLdv53YuNNXAPKy1nbtn3G48zvzmAe8sT4fGN9kXTXjxJBFt4Xj1wd/cSEQ9KlMCmSWg1kpAAhKQgAQkIAEJSEACEpCABCSQLIHUBdyT1cNOUo/LiYAAOqL4YeCzZpEnY1EvoGz12IPsnr09c46p7ayP/u5iDitSNc9tB+mj2yevxB2XO+8ZlK2yLw7wWwGelidmzm8N1K+Irm+JaUFLqf23d8FKk3e7uwnI69LStnguFfVyo7BHx87jeLZHZUlAAhKQgAQkIAEJSEACAIQgAQlIQAIS6EQCjk7U16zuar4dwOy3XWxd5PjizloLy38KDArzbvnapbGVxdy8gzqWoO6iryw0rHTEJYjO+qOdeGGhoGv7xqmPtg7mq11koTJJQ9ewvkyZuq7jRpfVEhMUzysF+A2NTLFQOyUggdQLqAUSkIAEJCABCUhAAhKQgAQkIIF4CijgHk/N+JUVe0l2zNyRF3sQs3SIG458YNVsvyrtYpZ8E/upUWaXVdLf3tmvqEiLHOrEketGfnl0+1QvsLBqlt3RSIVGua2oN+B2RVdvlEW2ysY7/uMxBE6rgtuR0FRj2f1tx47aRQISkIAEJCABCUhAAhKQgAQSKaCyJSABCUggywRij6pmGYC6A3Rdy42ywS0SfGCq28mAdEtaNEsMLscyNjeHdinpF/0dyZYda6+riKYlkfNULwC6rcdAf+R8Hd3K/hX17Ggp8dl/2fcW6pfHp6yOlsJx+90JutbB87biN/tE6Wgjtb8EJCABCQAQggQkIAEJSEACEpCABCQgAQnEKqCAe6xiaZqfY7EvtYOq8Wpel4FucKzteJUXqpxew9wo7BV95JUBbGcdgFCFRZnWVAus+Dk5p70ZuqZb9P2LsgvtymbluuFqSo9A9L8fWODFk3Z1pI2d+K0qPVOSAAAQAElEQVSJlbMsJCqg30b12iwBCUhAAhKQgAQkIAEJSEAC8RRQWRKQgAQyUCA5kccMhMm0JvMBpHBbcWt2j409Q83EUmDFHxbqlsbWhrplQLQPL+XQM2xXLG0KzsuAe24R0FRjT9WxtTW4rExaNw8ptVIf/OeDeumfSDsOkeSqT2QNKlsCEpCABCQAyEACEpCABCQgAQlIQAISkEAoAQXcQ6lkYBrvRnfkpLbhjassOBujD+py+A/eld8UZXCUD2TNL+1YHxliL+nvQn2FhRW/daysSHvzDuvq+ZFyJGxbyIK7retGcZ+Qm5Ka6GqwUNA1sVWyr+CBTmw1Kl0CEpCABCQgAQlIQAISkIAEJJBKAdUtAQmkqYAjTdulZsUoUDIQ6LquK8a9wmdvWAlzF3j4HK23uO3qGRRvvSV0SsVvDtQtsZCTj6T9FHQHSocAOQVuOOuthNXbWGlh5Z+JKz9hDU9wwfllbvTa3D5RElgPh0Pi8EMJrEJFS0ACEpCABCQQUUAbJSABCUhAAhKQgAQk0HkFFHDPkmPvyAU4xas71QssVM2zYiqOAf9CO6Ad7U5Wjhv5XYBYAu6Lp1v2hQAr2irC5ssrAXKLo78bP2xBYTY0Vrvt8sNsTEGyq9GyLzCkoOJ0q1LtkYAEJCABCUhAAhKQgAQkIAEJSCD7BdRDCaRQwJHCulV1GgvkFAKxjoPN4V4cedF3inchl69tB71jiJ+7mmAH3KOvIzhn7RLAWQewfz03sesOzhCn9ZxcC10GxKmwOBRTsxCo+M2KQ0kdK8JZb59XDR0ro629axfH/iyBtsrUdglIQAISkIAEJBAvAZUjAQlIQAISkIAEJJDdAgq4Z8nxXfGrhap/4xdQLSjnHdqJC0iTvXSIG+VrxlYHg/RNdaH3qVsKLJ0Z+ZRe/rMDrkbWntipsJcbxf1CtzOxNYcu3cp12/2O3/kRupa2U5f/bKE2xgfrtl1qYI7GaqBmUWCa1qISUCYJSEACEpCABCQgAQlIQAISkIAEsl9APUywQOToZIIrV/HxE3A1xK8sllTQDShbg0vRT8t+sNBQGX1+3q3OMdyj3wPovr4bxb1b78Hx411NdjB3Sett/inOWiCnyJNSt8yC2+lZzvZ5bpEFR37qLwA46yxw/Hwk8IdDFDkbEliBipaABCQgAQlIQAISSJCAipWABCQgAQlIQAKZL6CAe+YfQ9MDlx04juWBpWanOM/qV1hADDFdPph1+a/2PjG0g3e4O/Jb78C+F/d1o2yIG66m1tuZwuB6l9XcvrHuK363UF/BLfGfqucjbDviX1vbJRZ0daPHRjEcnLaLbFcODjmUW9yuXaPeqaCHGyX9o86ujBKITkC5JCABCUhAAhKQgAQkIAEJSEACEsh+gTj0UAH3OCCmQxE9NnTHdQgT3jFevSC2YDj3YeA7Wo8GO9jdVBNt7vD5qudZ4NjgzMEhahy5XGo9WTlA9w1ags4M3nv3a527YylLZzjgyOlYGdm4d+/hLuQWJbZnuYVAcZ+W45zY2lS6BCQgAQlIQAISkIAEkiOgWiQgAQlIQAISyAwBBdwz4zi12UreOWzF8WiyrKUzLDCI3mblzRl6DbODqTHcvVw2FBi0u6t57+he6issLLHb5c09f6qF/DKAwXNvWrSvRb3cYBA+2vzR5uNFhJxCN2AhbX7cdnMaK9OoQWkjo4ZIQAJxEFAREpCABCQgAQlIQAISkIAEJCABCTQLOJpfs/BFXeqoAO8UdtZFX0p+OcBAPRL4k5MH8M54VlE1F+i+LpBXakeTmWBPDCqHuzO/YRVQt8zO1PyPw8sU92leieMLg9vla8axwHgUZRPx4kQ8impvGRzSpzGGMf7bWw/3W/FLbBeLuI8mCUhAAhKQgAQkIAEJSCBTBdRuCUhAAhKQQPoIONKnKWpJRwQWfmHF9MDSaOpiQBrpdJs2AN457qy37CWgqBdQ2MuOJJu15pnlRsVvnu3NKb6Xqrm20crQ23yZ4rCQVwKUDg5qVxzK7UgR3gshsXxjoSP1hdq31r7YseLX5HzkVM6xA+7OUK1QmgQkIIEkC6g6CUhAAhKQgAQkIAEJSEACEuhUAsmJfnUq0tR01llnxXR3eTStLF/Ljdzi6APHi6ZZcDVFU3L783AImP7bu8C7yEMNI5PXBWiqdYdsh7MWAeOHO+sRcMd7+1uVGXsWdgfcCT4+kSTo7yiI/nyKVFab2+wLL6m8uNBm+5RBAhKQgAQkIAEJSEACEpBAkgRUjQQkIAEJJFfAkdzqVFuiBFxOINUP6axbbsGyEtXDlnJzixGxnl7D7MCy7YGgn4JuQH7XloCvqwFY9mP83wK1i6y4f9sgqCvtWu2ztQuO/HbtGp+d7JOj0D4G8Skscind13cj3MNzI++prRKQgAQkkEQBVSUBCUhAAhKQgAQkIAEJSCDrBOIfbcw6oszo0IDt7WBqQXzbWl8BNKyKIYLututPgzOquK875ENUy9ZwB9zhnlMIOEOOUW/3owP/Kv5gwD8Gtw7UlUm7lg5ywzNMUeJb3WUgwG9DQD8SkIAEJCABCUhAAhKQgAQkIIGwAtogAQlIIP4CaRAejX+nOmOJvHPZinOMt2Glhco50Wv23cYd8c7z6EtKTk5HHlDcx424Dj3iBhprLOSX2wvJ6UbUtTRVW3A1Rp1dGSUgAQlIQAISSKWA6paABCQgAQlIQAISkIAEMlLAkZGtVqOTIsAx0jnOebSVFXRLjyBzUw1Q8Xvg1QcGmqv+DUxjv3pu6oYVx3dBY5WF3pvZZbauitWldFrxG1C7tOMNa28nGlYh5Nj67S0v0n4r/7TgrEtdXyO1TdskIAEJSEACEpCABCQgAQlIQAKZIKA2SkAC7ROIY6ixfQ3QXh0XYDB57kfxDy7mlwEF5R1vX7JLyCliwD2wVt6tXzUvMC0Ra3mlbhT2dCei6A6XyTHNea50uKB2FrDkGwdiuYDTzmrMbjWLLPPwXLOimQQkIAEJSEAC2Sag/khAAhKQgAQkIAEJSCBtBRRwT9tDE33D+MBUuOIfcM8tdqN8zTDBYxfw73stpw8DuYu/blmPvvXxz2nZFPllFmorWtreVIuA8du9tdYts9BZ7oTOKwVS+WBdZwNCjq3vPRbxfLUcHCrIimeRUZalbBKQgAQkIAEJSEACEpCABCQgAQlkv4B6KIHwAo7wm7QlYwScFhhgTGp7LZixzxnIZr1uuw31K1sC3ExL5dRjYxdy8uxGNjcit8iNLgOaV/xeahZYqFno9ktp/2LlbAvV81vqbH9JidmzbHU3SgbEp68xt9CuNr8M4F32Me/bjh3KhrrBC0bt2FW7SEACEpCABCQggcwWUOslIAEJSEACEpCABFIqoIB7SvnjU3lOsRv9RtgRzfgUF1AKxz0P+VBRCygdBLga7QV7D+axcuyFNPlX0BXIL2lujE1T2BMhh3rJKXDDWe/pQ3Pudr9wjPTCHnZl7S4hi3e0iftu40paB4t7I+Q3GpLWAFUUUkCJEpCABCQgAQlIQAISkIAEJCABCWS/QGfvoaOzA2RD/y07mOnIS0xPVv4JOGvtCkIU3219F/LLPAFmBq57DfMsh8iasqSGlUBjdfjqC7q7kVscfnu0W2oXW2CQP6cg2j2Sn8/VADTVJL9e1SgBCUhAAhKQgAQkIIE0EVAzJCABCUhAAhKQQMIFHAmvQRVktIDDDiA31bUOpNevAJbMaAnE8+72gq7p01W3E5j1oQtLv3cgrwvC/hT2ALqs1rp/YXcIs4EPSu29RcfLCVN8XJLrV1hY/lPLMYtLoVEW4moC6iuizByHbFX/2vXZ52gcilIREkiSgKqRgAQkIAEJSEACEpCABCQgAQlIIBsEIgfcs6GHnaAPdUusgOB3PLtcagejHbmtg7QchsVZBzSsar0tnvW3tyxeAOi+uoX+IxI3jAmH0alfDnMHvWW/k/hNg/a2Nxn7WbkAA9/JqCu4jvrlFip+T965wosLDZXJqy+4v1qXgAQkIAEJSEACEpBAxgmowRKQgAQkIAEJxEXADhPGpRwVkkIBZ6MbcCcmuNhlNSC/3C4/qH8M3DLgvOwHT70NlYB3OShryla72QF3eJoXtg3sQ/W8lkzefoXdoXnDil8tzHnHgRW/OsC76ZuT0/oltxDILW7pazIb62xwI1HDHoXsh8NOddmT/klAAlkhoE5IQAISkIAEJCABCUhAAhKQgAQyRYBhqUxpa7q1M23a43ZasHJaB8UT2cCSfm703NSNxmpPva4GC41ViawxMWXzzvQlM4CquZapgHftz/8k9NvCfziWsiHA4L1c6LutC/llZte0n+WW2Mdsk9REofmNg8JuySPqMsANjs+fvBpVkwQkIAEJSEACEpCABCSQxQLqmgQkIAEJSCBqgdCRxah3V8Z0ECixg4s9NvQEvuPdnvoVQH2FJxjtXzYDqHklQFEvgHeJc2Lw2j9PpiwX9bZ8d19zvHf2q2YRAn44HIr/Hdo5hYnxDqg0i1ZK+gGlQ5JnVmAH9zPlQkgWHWZ1RQISSImAKpWABCQgAQlIQAISkIAEJCCBdBJQwD2djkY728JANwPg7dw94m71KyxUzw+fpdcwN1h/Qbkb3dZ3t2TMoKU+W7pQ3Kel7d3Wc7Uam54B965rt+TJoO4FNLXevoASkKAVCUhAAhKQgAQkIAEJSEACEpBARwS0rwQkIAEJBAgo4B7AoZVgAd7V7WoMTgVW/MJAfMud7458IL+0db5MTOFd7l3Xagmuc1z3QbunZiiWePstmpaaMecbKy046+Pdm/Dl8UHCNQtbzs/wObVFAhKQgASyWUB9k4AEJCABCUhAAhKQgAQkkGwBBdyTLZ6A+ip+s1A5OzHBRT4wtbB760Y31bI+t7kTvLGay63zZEuKIxe+IWfi1KeUFcMLKM4QF1AS3aDlP1v2uZLoWlrKb6h0o25Zy7qWJCABCUhAAhKQgAQkIAEJSEACKRBQlRKQQCcUUMA9Cw66syFxneA42F1Wa7nb21uTq9ENBqI5RMmqv4GaxcDKPy3v5qx45V38fBBsMu/MTjRcYQ/7WLoSXUvr8l32OZqT3zo9USlWjgW33dVEla9yJSABCUhAApkvoB5IQAISkIAEJCABCUhAAokQUMA9EapJLtPtsmDlJDe62HNTNwp7ArnFQFM14Kyz0FSb5I4nuDr27e/XHcgpSHBFSSyex439SmKVpqrcLm7kFJrFtmdxyMELCyX9kvueiEOzVYQEJCABCUhAAhKQgAQkIAEJSKDzCKinEshSAUeW9qtTdav7Bi6U9E9Mlzl+e9W/VqvCGYS27LMnv8yNPI7d7rKztM5mJ2buv9LBbqx9NDuWuX1Il5b3GuZO6oULjsNf2CNdeq92SEACEpCABCSQaQJqrwQkIAEJSEACEpCABNorYIdM27ur9kumQMOq8LVxaBcGv8Pn6NgWjr8drgQG3ruv70ZxXzfKk1Og4AAAEABJREFU19AdxeGc0iWd4+0ncgiidOlnFrdDXZOABCQgAQlIQAISkIAEJCABCUgg+wXUwwwWUMA9Qw7espkORAp8J6obfMgm73IPLn/eRxZcTS2pHC4kFUOVtLRAS9EIrJoF1CyIJmf88rhdQN3S+JUXTUmNlRYqZ2fZVy6i6bjySEACEpCABCQggYQLqAIJSEACEpCABCQggUgCCrhH0kmjbQx8F4UZImPhFxYi3QHf0W6Ur+kGg6b+5fBOad5ZzzQ+MNVZxyVN6S7A88jVlNxANMf4X/ZTcj9q+KDb6iRfWEj3Y98p2qdOSkACEpCABCQgAQlIQAISkIAEJJD9Amnew+RGwdIcI52b12drF4r6eIZsaVgVGDB1NliwrMS1vtu6bvgPWeNqAhi49dZYs8DC0h8sVM21vEl6TVOB/DLAketOauucDXadecmtE5bdxSRXadeofxKQgAQkIAEJSEACnVxA3ZeABCQgAQlIQAIKuGfgOeCsd2P5T4woehrvdgJWDpL247DrGjDK5asvrwRoWGHBZQdWfYlaSEuBkgFulA5ObtN4saaoV3LrzOti93OIIu7JVVdtaS6g5klAAhKQgAQkIAEJSEACEpCABCSQBIEUB9yT0MMsqMJtxw2balo6wuBlYxVQu9iT1n+kCzlFnuVEzKvnA866lgA/7x7OKWipqaiXG458gIFV6EcCQQIF3YCua7mDUhO7yvOzpF9sdaz42YHKObHto9wSkIAEJCABCUhAAhKQQLQCyicBCUhAAhLoHAIKuGfAcXbVAws/DzxUvTZzo6nGEwTn8C6WZzEhvameZ6F+Zfii88uBPlu6UdwvuUHV8C3SlnAC/BZCw6pwWzt3evViN+qWJ/CN1Ll51XsJpLeAWicBCUhAAhKQgAQkIAEJSEACEoiTQGAUN06Fqpj4CHhLcTktWEHjbjPIXpqkITNYl6vR2xqgbqmFpTOslgR7KbfYDd5VbC/qXxoLNFZbWPZD4LFLdHP5bQzvxaFE1+Ut32lfpFrxa2z97LuVG2WDddHIa6hXCUhAAhKQgAQkIAEJSCB5AqpJAhKQgASyR0AB9ww4lm6nG3ldQjfU7QL+fT+xh5F3rjOg7m0BH4LJYW6863xd9bcFtoXLmtJXgBdu3E2xBaI72puVf1moXZLcQDbPT34zI5a25xYBHP4mln2UVwISkEAnEFAXJSABCUhAAhKQgAQkIAEJSCAGgcRGamNoiLKGF8gvA3oPDx2wrJpjBzMXJzaAWtwHKOze0j5XoxuO3JZ1Li351kLlbC4la1I97RHgtxDyuoQ+l9pTXjT78NsROQWJPUeD2+HIseCyL1QFp4db5zMKapqfiRAuTyamP/O8A48+kYMpH+ujPhOPn9osAQlIQAISkIAEJCABCVBAkwQkIIHMElAUJrOOV6vWcliZtY9ytkpPZEKXgUC39QODtj03AfK7JrJWlR0PgZx8oNfmgccuHuVGKiOvBOAUKU+8tzly3ei+fvSl8sHAHCpp8TcWeHd89Humb86GRuC33x34Z7aFb79L7gWP9FVRyyQgAQnEWUDFSUACEpCABCQgAQlIQAISCBJwBK1rNQ0FXE0Ax6ROVdP4kE3/u3+tHLS6w718TRcKu6Wqhao3WCBV6/UVQPV8K6D6buu6kVea3CA/7CZ0GRh9nQ2VQH4p0LjKQlNNQPMzdmXlSgvHL78Mpy47C1vMfRKVdh8ztjNquAQkIAEJSEACEpCABCQgAQmEFFCiBCSQfgIKuKffMWnVIg4bs3KWHUFstSU5CU01FtiG5NSmWhItUL/CPpeij0XH1JxVf1lY/qNdfkx7pT4zg+2FPdzIKXLDWZt57Q8luGpJAzao/wxDG2ZieO17mPV3dvQrVF+VJgEJSEACaSmgRklAAhKQgAQkIAEJSKBTCnSqgHtVdS3+nb8Y1TV1IQ92ZVUNVqxsfRvoB1O/wZJlFSH3SUYi73APHjM9GfV663DkARyH27u+zA6oVs/3ruk10wSWzLDQFPot0OGucKz/vtsFRvNrF9mB3sCkDtcTTQHLf7Q/3kLW23rvsjXcyC0Gum9gvyZ5jPvWrYlPSv3cBb6CejjnY8GfrT/bfBm0IAEJSEACEpCABCQgAQlIQAISyDoBdUgCqRGwI1KpqTiZtdbU1uGAEy7DVnufij2OvABb7jUG19/5FJxOl2kGt4+99E5sPfo0jNhvLI447VosXb7SbOPs4hsewu9/zeViSibLPkq5RSmp2lSaV+JGcV+zaGbOWsDKsYOo0E8mCvDijf8FlHj2oXSIGzxfvGW6nQAD/BzixZuWrNeqeYDLrj+W+nine25hLHukb96mxQsDGuf4dUbAulYkIAEJSEACEkihgKqWgAQkIAEJSEACEshaATuUm7V983XM5XJj5xGb451nb8L3kx/F+HHn4NnXJmPmz3+aPFxmQP2jl+/AlxPuQ47DgTsffsVsS4dZ+ZpudFktylt1E9DgHDsAWbZ6S/2pvuM+AV3sVEWW9Hcn9MGgHA/dWee5IONsAPgNiVQA80IVA/5t1d1YzXHn28qVedutJYEB957LfkSNfbGsrZ5ouwQkIAEJSEACEpCABCQgAQlIQALZL6AeJk6gUwTcu5QU4YwTDsBq/XsjJ8eB/n16GNGyLiXm9Z2PvsLBo3dA755dUdqlGMccvCtenfiJHZRsCTKbjPZs2YpVOOX8W/D4i+/Ya53zX+/hbhR0b23TOTUyr9e8gFNQHv92N1bagesFAMeIr/ijuXz7NCnuZ8+aV5P5wuFhrJy2a6xZaKFhpWUyNlZaWP6TZ9kkZPAsb6V9MPzav3rjj/jr707xke/Xay1KQAISkIAEJJCBAmqyBCQgAQlIQAISyGiBThV9mbtgCW574EWMvewunHrsflhz9QHm4M2euwiDBvQxy5wxMM/XVVU1fPFNKyurcdK5N4EB/KMP2tWXnugFZx0QzZ26iWyH/0NbeceylR0xyUSSdbqyq+ZacNZYKCh3o77Cc4KYcdHXT03AnXfyc/ictg5Eo32hIK/Uk8vKdYMBeM9aZs+LKhcFdGBA4x+Y91dDQJpWYhVQfglIQAISkIAEJCABCUhAAhKQgASyX6BjPXR0bPfM2rvSDqDPmbcYfF24ZDkaG5vMXewcw72wIN/XmYL8PLNcU2NHus0SUG0vn37xHVhtQG+Mu2wMcnM8t86Wl+Qh0VPlD3koaEp8PZH6UTc7B6W2S6Q86baNFwXSrU3p0p78+jw4Vsb3nMqpzUX3frno1d8ut4cDZcX2axLeHx017TkwB30G55r3cY+eechpcpjljpabyP27FHnaG6mOsvrAO9wtuOH87aeQfeOxcthvmEjlaVtmnM86Tok/TiWFucjLTf/PCZ0LiT8XZOwx7mL/vs91WCF/v8jIYySH9jtE83+eTPItLshFQV4Hf4dkwP+vM+mYqK3tf38m2o7vFb5nEl1PqPKbw0B6kYAEJNBuAUe798zAHddbazDuuOYMTHjqRrw75WtM+mgaLMtCcVEh6hsafT3yLhcXF/rSLr3xYcz48Q+cN+Yw+w/tHF96o9ONRE8N9S64cxJfT6R+IBeoq/O04de3XGho8ixH2ifV29xuoDED2pkKp9xyN+ZOc6Oh0Y141V/Q24W8rp7yem0GNLncqFnlRtUyT1q86om2nEU/u1BT2XbdxQMBd15Lvv4jgYaGlvVo60tmPqdtG6m+hUvc6Ob03OG+fK1Rvs+rsoU/oKomVN/szxg7IB+pTG0L5aY0//Oisyw3OV3gs2E6S3/VT73P2zoHmprs94T9m6atfNquc6k950Bb/+dpT5mp3KfJ5YL9ayRu//9OZV9Ut97TiT4H+F7heybR9YQq3/61pn8SkIAEOiSQ7QH3kDjlpSXo1aMci5asMNsHD+yDOfM8wSkm/Dt/MV9Q1qXYvHK2z27bYvutN8GYC29DxcoqJpmppq4JiZ5cDjfqnImvJ1I/igY5UdfYhOrqJjTUu1Fbn9r2RGqrdxsPUE0GtNPb3mS/Fq3mxMJfnHE7fwsGOlHbEHheLPnLiaX/OONWRyxGK+a6ULUy9rrdxU2otc/1WOpKdt7a+sj9Wji3FsXuSr4F0Nh3ddT3HGyWV2/4AT//1npflscLVMnuh+prSsl7Q+4dc69vZLDErWOXhP//6Fzt2LmaLL+6Bqe5CJWs+lRPZpwX8TpO/D9KvMpKh3Ia7N8hvHCbDm3J0jbo93MW/X7me4XvmVScq+aPJ80kIAEJdECgUwTceWf6s69NxuKlFWhoaMRrk6aC47ZvttHahm73UVvgpbemmO1V1bV46uX3ceBe25u7300Ge7bziM1w65WnobysC069+HbU1Nbbqcn513dbF3IKklNXuFrKhrhNG1xNgCMvXC6lZ5JA13XcKOrpTkiTm6ot1C0DXI1ATn5CqmizUD4wta1nHzSsAipnt1lUxmVomP2vr815/fvCWncDsz6k4UfM/icxx9xUoJkEJBBGQMkSkIAEJCABCUhAAhKQgAQk0FkEOkXAneOtP/zsBOx48FkYttvJuGzcI7jw9COw+caegPuRB+yCNQb3N9u32vtUM7b72BMODDgHHGbomQLc/7+zsXJVFc656h44+R2ngFwZttKO5ubYwdMBo1zt2FO7pJuAZb/788sB3tnc0bZVLwDqllq+Ytz2KbL8Rwu5xUB+eWoCvOVDgbwuviaFXKhdbKGptqXdzFT1r4XKOYFpTM+kyblooa+5Jav1gXuoJ+CehwbU/Panb5sWJCABCUhAAhKQgAQkIIFOIqBuSkACEpBA0gQcSasphRVttN4amPzibfj0jbvxzrM34bsPHsGxh+zua1FJcSHuv/FsfP7Wvfj41TvxwgNXonfPrr7tX08aj22GewJWXcu7YOLT4zB+3LnIyUkCnx2r5N3CvsakaKF2kYWGVXYQ0v7nyE1RI1RtQgQaVgJNNR0ruvIf+71g2SdrczF5pW40VlsoHeRGYY/mxCS/FPVyI6ewpU2hqm+otC8IlAVtsftRv8I+0YOSM2nVWtoyRJarR1+41tjQ1/ySuT9iYctmX7oWJCABCaRKQPVKQAISkIAEJCABCUhAAhLIJgE7SpZN3QnfF8uy0K28FKv174283JyQGTm2e8/u5SG3pSqxqRZYOC31wb/apQCHCEmVQwrq7TRVFtjXlhZ+6UD98vZ3mUF7luNfQvcN3HDW+aek33JxX3erYXVyiyz7AkTkQH369SSwRXkV802C23LA3bUH3L37w13subLAYWWmfhr6M9DspJkEJCABCUhAAhKQgAQkIIHOJaDeSkACEoirQKcJuMdVLYmFuZosOHJTH/xz5MGMx12zCFj6XeovAEA/cRUYuJMLK361g7PtONVcTUCvzdywgmK4pYPdaKiyzxt7e1wbG2VhHBqm3vNc5LB7lPQDHPmBmwu6ucGLBYGp6bXGb5vMnxL+eBVULzYNXlU8wLxy5lp3E2AzdEsAABAASURBVL5gzYbv8OuPjVhRYZl1zSQgAQlIIJ0F1DYJSEACEpCABCQgAQlIINMEFHBP8yPmdrmR77kxNaUtLeoF8A5mV4MdpLP/pbQxqjwhAnw4b9SH1q8FHGKoqLfbL6Vlcdl3dlDY1bKezCUG2xsqY++RZX8qpsN7LpKVqx7IKXLDslrn4pj8ZXWeMdzrS/v4MjRtvK1ZLnGtxPCaSZj6WYidTQ7NJCABCUhAAhKQgAQkIAEJSEACzQJ6kYAEYhawQ0sx76MdkijAIHfPTd1JrDF0Vbzrl0FV3s3MAGvoXErNeIE4xmCdDQCHIsrJS5EKP90iBPv5YNdlP8Sxw0nsJtse7oGwK1da6Nk017SmqWtf88qZc/iOcJd7BtTfsfp5fDcDqK7mFk0SkIAEJCCBzBRQqyUgAQlIQAISkIAEJJCOAgxJpWO71KY0FeAwId3WS/0FgDTlyfhmVc62A9AxHt7lv1qoX9W66zn5wBoHuBBjca0LamdKlwFuFHQPX7u7CahZYPc3RPlLZ9p9WhFiQ3RJCc9V1Mcz7M2CzxxoCLKvnF+BPNhXO+xWOHq1BNyRk4PG3Q61U4HuzoXYqPpDfP6lfgUYEM0kIAEJSEACEpCABCQgAQlIQAKxC2gPCYQUULQlJEv6JLoaAWd96tvTVAtU/QtwuA1O0E9WClT8boF3psfSuZr5FnJyEfIntwghhz1BEn4KuiHicEwuF2DlIMyPhcaqMJvSIHlFhYWpdrB97sKVqJwTeNGgfv4iXwtz+/sF3O1U53Z7AcWl9hKwY9Xz+Hq6A/We2LxJ00wCEpCABCQggWwRUD8kIAEJSEACEpCABFIloIB7quSjrJd3HK/6OzCgFuWucc3GwP+qv3W6xBU1DQtz5LrhbortfHPWATl2YD0NuxOxSRwaqdv6dtQ9RK7cIjeaaq0QW9Ijae4N4zHimYOw1pTzsPTfwHY6F7YE3LsMCQy4uwsK0bjj/uBP/6ZZGLJqGv6c5eBqXKdXX8/Bo0/k4IOPQpQd15pUmAQkIAEJSEACEpCABCQgAQlIQAJpKdCJG6VoSJoffAa6HXmpbyTbwPHbl35noXpB6tujFiRGoMtgRLjrG61+OJZ4n61dKbuLvVWD/BJqFwM1CwOD0X6bwYB7ST//lJblsjXc4PBJLSnptTSgbhWcVm/0b/oLy2e8Ad6t722htdTzwFSuu3u0PDSV65wadzwA7vx8LmKnqmcxb55ZjOts1l/AP7MtzJ0b3j+uFaowCUhAAhKQgAQkEIOAskpAAhKQgAQkIIFECijgnkjdOJTNIS9yi+NQUAeLyCkASge5zfA2ObkKonWQM213L7cDzTmF4cc9D244hxcq7B6cmh7rHBKmbln72sJgPM/59u2d2L0aGgAHcpGDevBn27mPYvrHLePf5K70BNwbHflwl3ZllsCppBTOEXubtDUavkfDH3+a5XjOapu/HcC2xrPcTlCWuigBCUhAAhKQgAQkIAEJSEACEpBAhgtEEXDP8B5mePO7ru1GSb/oA6CJ6i4Dq+VruuFqsmDlpr49ieqnys0eAZ6zcFthO8SA/Mo/w28Pu2OKNzSsqITlbkSuu9q0pMhdhdyJb6NiuacvhVWegHtVUX+zPdSsaeQ+vuSiuT/5luOx0NgINDk9JTU0eNrkWdNcAhKQgAQkIAEJSCD9BdRCCUhAAhKQgAQ6KqCAe0cFO9n+fbZyIT/ETbOdjCFru1u7xEJjdfRB0uoFFir/SU+Owp5AcX9X2MY5ay2EuwOeQ+XMm5KeH49Nq2rQr+l9FLiX+vo2pH4R3ntoAb76xoGyOk/Avb609XAy3h1cfVeDs/kW/n61v2HFyuiPubeMcK/19S1bGhp1ca5FQ0sdFlABEpCABCQgAQlIQAISkIAEJCCBDBBIz4hSBsB5m5jo16YawNWU6FqiK3/lX3ZQzo6fWfZLdHsoV6YJ1Nix2rqWOG6bza9fzizpeULkdQEiDXfDcc/NXfDsQtDEdKcdOOYzFII2pXzVWWV/KDS3Yt6Op5ulPHcVdp73AOa+PAW9m+aYtKYeA8xruFnDauuZTQMa/4jrOO61dRZWa/gVQ+tnoLxytqlDMwlIQAISkIAEJCABCWSDgPogAQlIQAISiEZAAfdolFKYZ/F0C0016RHQrJ4LNNWmR1tSeEiyumqOXe6O4QJPUy3gKLCvwmSgSn6pG2VrhG94bqF9vteF3/7/7J0FeBvH1oa/3RVbZseJw5xC2pSZb+GW+5eZmZmZmZmZmfmWGZK2aZidOGYW7+4/Myu0JVuyJVmyjx/N7OCZM6/A0pnZMwNV4+90wy8Zt5moI8bDvcvhcGpLUKYux+Et14XVkioqw+l4CdPkKaK4KrAYq2pEMi2Rm70mjmi5Fqc0nYsd6x9Oi0wSQgSIABEgAkSACBABIkAEiAARIAJEYKAI0LhEIFUCZHBPlViW22sBCbI5RwyaClD9pQT6G7wEbMN0mIuSn1/pNMDRs103eWFpbulrA9qWJH69mhyArTzxe2v45hrMBWlWKg3i1FYPllv2FZIUpwP6PkfBfOi+cBTHrg6YqhK7lOGd9TGT+UUE/9x54pqOiBvcbZpxiKtVd0NPjDgdw5EMIkAEiAARIAJDmQDNnQgQASJABIgAESACRCAHCZDBPQeflGiV+C5b2RxdMnDpwrEA3wE9cBrQyJkmYK8A7Mzonuw45kIdEluISbZ9NttpPgmu2r6PqFgA7loGOfYX6PBA0Q3juqmQrRow/QJb7gr3tc/Ad9Dp0ItKWQngGN2zwV0bGzG4m1cuEH3SEbndOhx6uxBl1VxwG6qKPEVEgAgQASJABIgAESACRIAIEAEiQASIwGAiQHOJR4AM7vGo5FDZiC20nDFy28t1mA37Xg4RIlWIQAICkg5++GmCWrjqgM5VUqLqnC3XXd7wganmQrvQk/ub76w3I7Dd3nBf9xz8+54ApWqEqEsUaSPGQjWxVQXWoMK9AI3CHz/L9PMRaOsMS7DoXvjZwke4gBJEgAgQASJABIgAEcgWARqHCBABIkAEiAARIAIDRIAM7gMEPh+HVZhtb+R2Wj6qTjonScDfAbhrkzNCc//t9b8n1zbJ4dPajB+aWjxJTyjT1yrBb2zEjtumo1pC89zcm5/sb0SV/1Ohs604sgLWNDuoq8UK/04HAo5C0aanyDtyqqge45+P5dWJWYlGSUZaG3sRBdta9U54femRGxQ5KC40CSJABIgAESACRIAIEAEiQASIABEgAkRg8BIIGdwH7wzzeGZ8d25PBsFsT83TCHibsz0qjZdNAgG3hLalyY0Y6JCgBZJrOxCtFCuzOffgVUVXgZ7c4fCzE/xsjsixP8njFhrpYAZ2O1sFYzk+V80HpOov3TTRcCtT5V+E5csZECarvw+1oy0sgvtw9/mYnuESShABIkAEiAARIAJEgAjkAAFSgQgQASJABIgAEcggATK4ZxBuf0UHOoG6P3LnKfK3SXAlufu5v3On/gNDgPvoT9aIHvAAim1g9EzHqI4ROhxViSXx8xNUw7aduNFA1Hi8CMABjxzZ3c7VKJ6iQ091AWTsFN4VClS0z1so0v2N9I7oHe5ueH39lUj9hxYBmi0RIAJEgAgQASJABIgAESACRIAIEIH8JpA71txc5jhAunHDJzeADtDw3YZV/Tq8jVK3cioYPARMDh0FPRiho2dqr9RRuoYeXZRTae7XvCeXMNYSwFyQWH9zETB809xzoeRzlaNVWQs+pSCGdwkzuMvmmKJeM+pYY4c7b6gvmc8v/Q6SK9ZPj9bh7rdMEkAEiAARIAJEgAgQASJABLJGgAYiAkSACBABItBPAnI/+1P3jBKQYClObBDM6NBxhJdOA6q2zj0DZBxVqaiPBLhrkqKJyb3meFse+jhUxrtx9yqdK/u+QCSxrrJxpmjGdU1pAL8KBR74ldgd7inJCDbWq8ZDlxWRq+ycj9ZWNmmR63ukuGMN7n6Xq+/CqCcRIAIxBChDBIgAESACRIAIEAEiQASIABEgArlPQM59FYeuhtZSHeXTkzN+DiAlGpoI5CQBWZGgqYnfP+1LJXhbclL1HpUyBVww623wm2IN7vyMBV9rj127V8oyPCOmivJRgQVYVdN/g7vs6RDyQpHW6Q0l6UoEiAARIAJEgAgQASJABIhAfhMg7YkAESACRCAJAmRwTwISNSECQ4lA66LkjK6rf5LA/bjnKhvZxBas1k6snasO0Hw9z5XP0ZeqETvxkGmpKVL/QIG2HKrJODA1JNTbKqFzZeof6cqkSULEaP88rFrV/ztYFE+7kBeKtE5XKElXIkAEiEAGCZBoIkAEiAARIAJEgAgQASJABIhAbhBI3TqTG3oPCS24D2rVMySmOngnmYcza10ggZ8f0Jvq3J+/ydpbqwGsZ7b0glGJd7jrKiAZ3lSQ6I/7RA+4maBEDQag3BzoFKOq1lgf7iab3rcFkLFThDwFKjyLV4h0fyKzr8sOdw/5cO8PT+pLBIgAESACRIAIEAEiQASIQJ4QIDWJABEgAkECZHAPgsjFS/tSCR0rcsvYl4ucSKf0EpBMgB7oWSZfCBL+2/P45Vk8SYelqOd5mmxAIMfsxZJqgQ5mHrfEupSxlgK2cq3nCcWp1YIGd16lVC/gl6TCYvb59OXXMv7HQnQHqxprcIeHVg2j+VCaCBABIjAQBGhMIkAEiAARIAJEgAgQASJABLJHgAzu2WOd8kiqH+A7bFPuSB2IQD8IiENTe/lk4IeJVm2VePd4ksNnvFnj3xL0BDZoeyV/f/U8h9I1dRSO67lNxifRZYAmZQdoMEHvusPdDqZrl8ZJZLWRE6DLxlb/ivYFaG2XkugFzJ0r4StmbOcG9/Z2o0tnJ+DQghmjCHCTS5kQCroSASJABIgAESACRIAIEAEiQASGKAGaNhEYUgR6MasNKRY5N1nFDHQ5FzHndCSFBh+B4ok6FEvP85JkQLHlliE6nsadq5jBXY1Xk1wZnycPybXOfCtNAyQACrzQbLE73Flx3x4mE3yVE0Xf0YH5qGHMRKaXyOORwi1CBnc3K7N3Nbh7c+wWgbDWlCACRIAIEAEiwAlQIAJEgAgQASJABIgAESAC6SXAzGbpFUjS0kegZJoOe2XuGzXTN2OSRATSS4Bv3Oa+2uNJbZotQfPHq8mRsjhquJvccGg1okaydze4ty0GEs1XdEoQyRMmi5rRvnlYZYgX+Z6izig7enuHYXz3eACHHutSRiKDe08YqY4IEAEiQASIABEgAkSACBABIkAEhjoBmv+gI0AG90H3lNKEiED/CLhWSwh0GgbURJJa5kvoqE5UmzvlpWtr4D7p42nUUd3zHHmfgAtY+XXufExqbjdG+9/hqkGy28U1OupYKcHXxaNLdH2itDRhqqiywIvORckdnMqN66ITi9qCYzL10HWHu+yPssyztvQgAkSACBABIkAE8ocAaUoEiAARIAJEgAgQASLbX/CKAAAQAElEQVSQOoHcsSSlrvug7+FnRqy+7FYd9GBoghkl0FkDeJp7vrPC1wrIZimjeqRDeEEVIJviS+LvLclwXR6/AStV+KGpnSyRIw9/e0QZyeHsphU/5FXzSt3KeyvQxxo73Hk7ecVifuk1bLL4Mdxes70IrhafaO/1APYuO9xlHysUtWmNSBgRIAJEgAgQASJABIgAESACRIAIEAEiMPgJ5OUMyeCew09b7a8yVG8OK0iqDUoCshnQ1Z6NtgGPBFMe+HDv6QmqmKGjN//svJ4b7DXDntyTuKzU+Vu88EnFYizZ0X2Hu3Os3iff+tqYKYBkPOcVHfMR8smOHv4svrZwbaChQaT9rbHuZHihQjvcOQYKRIAIEAEiQASIwKAjQBMiAkSACBABIkAEiEB8AmRwj88lJ0q1gA45D3YR5wQsUiJtBByVOsxOvUd5wzfRYC7qsUlOVLYskMDdwsRTpmBUz3MM9Rm9kwa5l0NkQ20zfXXXamhSNhTDyIUF4hodOYYDFsMeH13ce9pkgn/4BNFutH8+VtUYxndRkCAy+SLGdb2pUbQKtEXKRAGLlERPAKujR4YIkFgiQASIABEgAkSACBABIkAEiAARIAJEYMAIZM3gPmAzzOOBzQ5AMumgPyKQTQL2SsBW3vOIihWhDdHI5T93HaD2wcVK9JyCG7+jiwYsrXb4oMC47cXk7L7DvT+K2SZPE91H+/nBqT0b3H0+wKG1i/Y8Ulqb+AV6R2TXuyhgkSlAPtwZBnoQASJABIgAESACRGBIEaDJEgEiQASIABEYygTI4J7Dz37VVnpeGDVzGCGplgECugbwkAHRaRfJfbTranex3EVM0+yejcrdew18ie7zwKobxm1TIVuR66ISP+y2Y0Xf5mWabBycatc70bZodRfJsVm3W2IG94hx3dRpuJTRO7rvcCeDeyw7yg04AVKACBABIkAEiAARIAJEgAgQASJABIhARgmQwT2jeJMVTu2IQO4Q8LVJcNcmNtqu+FTOG4N7yWTAFMc9juoD3PWJ5xj9bLTMl8BDdNlApS3yKhSpc8TwlsLuO9x1TUfr4uTmJYRERcp4w+DOi5QVC/klYXB7dNj1iHHd6m6CrrPmrkiZx1HBCgCz7jHqRI4iIkAEiAARIAJEgAgQASIw1AnQ/IkAESACRGCwE5AH+wTzdX58V66/vW+Gs3ydM+mdGwS4y+326vi6tDFjrnOsDn6QaPwWuVVqq9BhsnXXSdcAfiAqkvhTrDpUTxINs9BE8rjCo1hKCtH1T2Fz7auuyoSIwb2sYwE6Ow3pLS3dP4f4Dnd7lEuZIq0BbR0SpGiDu7NSCLBpLrhzhJ9QiCIiQAQSE6AaIkAEiAARIAJEgAgQASJABIgAEeg3ATK49xthZgR01gAtPW8yzczAOSiVVMouAUnRoQekuIP6mRG2dA2+lTludd4UcsN06ZrJzUOxcz/wuTE11aVDgwV+yQLI3T++ZTNQMlUHX1BIWWOrDd6yMaLbKN8CrFwl4aNPZNx5r4JHn1BQWyeqRORxA3advRhEDigONKKjHVA8kR3ufucwUWvR3fD7JZGmiAgQASJABIgAESACRIAIEAEi0BMBqiMCRIAIDAYC3S02g2FWg2AO3BezxTkIJkJTyDsClkIJjqr4xujydfSkd4bnwsQ7VkjwGC7PY9RRmL3aPkyPKUuUcVQClRsn1zaRjHSVu9vGwicVwSd3998eGqNogt7n50gK7nLnB6dyY/uPPxv/IqpXSqiujhjN/S2toeHEtUhrRFu7BNnLrO4w/nRHsUhYmcGdH7IqMhQRASJABPKXAGlOBIgAESACRIAIEAEiQASIABFIioBhTUmqKTXKKgFm27KW6VkdkgbLRwLp11mx6SgcOzhee95mwB+xAacfVrYlqjoUeOFTEhvc+6XS+Cmie6HeAn9do0iXBlaLa0cH+1ASKSDQGnFtw4uKtAa0M84mn7Hr3W0th26z8SpYNRe8XpGkiAgQASJABIgAESACRIAIEAEiQAT6TIA6EgEikC8EyOCeo88UdwthK89R5UitIUfAUy+hfXn+TVtSmM56xFDMcuLhbZHQtqR7uaiME/XJRUscOf0tMqmtUHQ3/KaChKI6V0rwtiSs7rFCGzs5XD8qMB8HdtyJy+oPwZkNp0CpWRKu0ztaw2me4LvYXU0u2HxGecBaAMlmLApY+AKBn7eiQASIABEgAoOWAE2MCBABIkAEiAARIAJEgAgQgTABMriHUVCCCBABToAbl9sWxxqj3Q2Alod+uAtG6bCW63xaMcHfocPXFjvHmAZdMqu+leGPuCfvUttzVmfDCzs0u/bcsvfacu1ryAgg0IPBPcD09LDnq3dp3VvoY40d7rzmoLbbsUn7ezyJsf65KKidK9I80trZIDwRFdyrGmGHscNdtRZBths73HkTtc3NLxSIABEgAkSACBABIkAEiAARIAJEgAhkhAAJJQK5RIAM7rn0bAR10QJAXw1mQRF0IQJ9JiAxO3TTHBZFSfC7AHNBVEGeJK0lgKWwu7K6KkGSk7eA87nzA2O7S0pcwt/HfPECbJja32TU/SElbpxkjSmoRMBiT9iDe5vxd/ZtLN3mgF45Ush2qs3iGork9qi8u7vB3VPXBLvaLprrdicUe0THQKdhiBeVFBEBIkAEiAARGFoEaLZEgAgQASJABIgAESACQ4yAPMTmmxfT9TZJaO2ywzgvFCclBwcBZqvlxmhuMA5NqHiCDlsFsxyHCvL8aivXUTgu+UlYinSobgYm+S5Y/YMEf4fEDPvAqG01togmpdC7e1PxfKhWUaFaEq9+2Ct1OIaLZr1E8avVqF3uenlEkMkV8VMjdbZ179zcCLseNLgXFEJ2Gi5leEPV7eUXCkSACBABIkAEiAARIAJEgAgQASJABIhA1gnQgNkmQAb3bBNPYjxfB2Bx9s84l8Qw1IQIJCRQMhWQol6C1jJANiHv/tx1EjpXdVfb7GTvMWZE714Tv4SfqVA4PrUFB25sNzuNPpzdmB21+MKTLPUxG3e7tK5orfW0w53Z5B0jjHFF4xSjwG5HwL/HkQhsvAPclz6EjgJjx7vFa/hn5+JkT/cd64VaExyaYXCHvQByQcSljNbp4t0oEAEiQASIABEgAkQglgDliAARIAJEgAgQASIwCAmQwT0Hn1RunOO7VHNQNVJpiBAonqRDHDia5/MNMDuvt1nK+ixUjwRLMWMoR4buL0/ND9g0ZnVnInWrg8WZeWhV4+Df/Qj4jr0EcBTCby8RAzn8TVBVkYTZY+jhV+xGAYtLAvVw6IbBXSoshDna4O5hTwRrk08P0pUIEAEiQASIABEgAkSACBABIkAEiAARGPwEMjHDKHNQJsSTzL4QKByrDyr3HX1hQH1yh4C/E2j8K/tG67QQYJ9wwo96F2Ed1YCrrkthD1l+8Knq6aFBlyrFpqNqS71Laf+yAb+GAm2lEKLbeza4ty2WwHfEi8b9jLQCw+BeoDWjo8N4HZj4bThMrt9SCHfRKJYChqkrxJVHcpGTrQ44eFIEyd3zoanVKw25ojFFRIAIEAEiQASIABEgApwABSJABIgAESACRCBPCTBzVJ5qTmoTASKQMQId1RK4oZ0PwA23qo+n8i/YK4CCUd0N374WGWoKm64lZg9e9S3r0w9X5C3zJbQuZIL6iFGxdKJM/UP0luwF4pooCrDFAU9D38eKlqsXlYpsodaCdrb4whcfrP52URawFkItKhfpEf6l4sojEze4WyMuZeCJb3CfN1/G3Q8o+OVX+lfEueVPIE2JABEgAkSACBABIkAEiAARIAJEgAgQgUQEBo+VI9EM86yc78btrEmPoSzPpk7q5hAB12qEd0irbgmmyGblHNKyd1VMDh22su7ttIAOyZTa+8xSCATtzN0FdilRmWFeC8QWmuw6W8RIbcxoCf72iNFa6mWHu9C1I7p339NysbHD3ak2o7Ndh4fNLXQ4qmp1AiWGwb1Uqw0PYioqhG6LetF42ApAuBaoZ4sBTz+n4IWXZTQ1SvB69ahaShIBIkAEiAARIAJEgAgQgV4IUDURIAJEgAgQgRwmQAb3HHtyfG0S2hblmFKkzpAjIJsl6EF/3fbhOoonDi6DqHDbVJ7anKxlOlRfcgbzut8l+CJnjIrXD1+08HemNqboyCIuy7Xcz1LGQyqwG4kEsYM9ZwUj+zZWV5FKqWFw57v8fY2tcLMFmNDhqJqjCEpZadcuzNheAD1qh7vki9xO8O4HMu57UMHiJRGWHk8k3U0YFRCBPCNA6hIBIkAEiAARIAJEgAgQASJABIjA0CZABvcce/79HTpMPXuL6IvG1IcIpETAUaXB7DSMoGb2elRsKXXPmcZiAWtxd3WsZYCpZ5t1t04lU3Uka8T2d4DxixVhKweqtkjdCM5d+9T/IUMxRyz4iiNq93jsMCInWwBbhUj2OzKXGwZ3Lsjf3AqPW4ddM1zKoMAJU0U5r4oJOiuHNaKj7POI+oZGCb/9Lot0dOTxGq+16DJKEwEiQASIABEgAkSACBABItAnAtSJCBABIkAEBphAd8vHACs01IfnO4udxhmEQx0FzX8ACTgqAWtJ6sbhAVQ57tCajx+Oml1jLnclw126KNa4KqVc2DBTQtVWGjRXxKWMUshWQVKW1LcOcmnE4K41t8DtkRByKQNnIbSgS5kY6QVFgCzDLxsQJL9bVLdG1gxw0AEaZqwTfI252AqFaEERESACg5sAzY4IEAEiQASIABEgAkSACBABIjD4CZDBPceeY+4Kwl4ZNELlmG6DVh2aWI8EVv8gg58t0GOjXK2U9Li6tyyQwHehp6I2Z5CMD3fZBIzYPP57mMvQ41clVKVqSx2yGVA7OsNtzM7I7vFwYZdEy3wJ3pYuhX3JFkYM7nobM7h36rDqxo512emEXtx9hztsxoKAqhi3EZh8hsG9qTmiwMgqHUVowsEtN2OHlfdHKihFBIgAESACRIAIEAEiQASIABHIFAGSSwSIABHIAgEyuGcBMg1BBPKNgLdFgquOGXm9gN8FSHn6SWEuBEomo9ufuxbQAlK38p4KOIOa7+Wwb/ue2iaqq/9Tgrs2tXFDsnS3YbTmeVORYcjm6URBZ/PzNPVtrGiZujNicJfaWxBojljx+eGoKOpucNdthn4B7rieCVMChu6trRF9Kn54Abt/cRg2cn8Cc4C9yFg7ehABIkAEhjIBmjsRIAJEgAgQASJABIgAESACg4NAnprRBgf8eLNoXxoxSMWrpzIikA0C/CwBV42MgEuCyZ7iluxsKJjkGIoFiHfHiK5KkJTU52Uq0OFr73lwbjtWPfHbmB1AILJRPX6jYKnKFjs6VwUz/OKOuF2xFDFBvKyHYC7UkcyO/B5EiCrdWSyuPDJ1NkNtjQCwlDqhd3Ep47FEDPQBs+FSxhQ0uDc3S1jH/Q0ubzgU1veegolPkgm2ah3w+VmCHkSACBABIkAEiAARIAJEcaUYoQAAEABJREFUgAgQASIwUARoXCJABNJEgAzuaQKZDjH8cMS2JVI6RJEMItAvApICaH4d3GhbuWG/ROVk59I12dx6t1l3090xnHPp+T3aNFuGt61bV1FgduoIMEO6yPQSueskuOsjY+keY5c476YU9K68Y4SOovGpLypw+TFBYnrwU2ZZocnTCq0jYnBHQSF0mwOBqBNo/dZC1tJ4qF12uAfq6nBUy1Uo8dcYDYKxTXPB6wlm6EIEiAARIAJEoBsBKiACRIAIEAEiQASIABEgAvlDgAzuOfRcBTol8B20OaQSqTJECViKAMcIgPsjV2xpMNoOEEfNL6HpX6nb6HzXO19U6FbRS0HJVB32YVE84rTnvuHNhgvzbrXOMUDZWj33D3XytgLWyOZySG6XqHLLCYSL2kjE/b5bovpHalJP+e2lopPd1wo1ype87nCKcp+zQlx5pNoiBnfNaudFsOjGYoHUVCvyPPIdfi4aJm/Hk7DpnfD6uj9PopIiIkAEiAARIAJEgAgQASJABIgAESACA02AxicCKRAgg3sKsDLdVDLpKEzHjtRMK0ryBz0BbjB2jk7OMJzLMHRNR+fKLBpyGTK+aMb59ZeLpZAZ9yuZwKAg2Wv4ovHLve9uD3ZJ20UtMNzEOLUm+Joi2/d1B1uZYaPohWUsNh6a1TDC85xuNgzu3KDuYusF9vbIznZ12vqAvYA3g13vgId2uAsWFBEBIkAEiAARSJUAtScCRIAIEAEiQASIABHILQJkcM+h58PGbFaOyhxSiFQZ8gQaZsnwNucvBn7Qqa51158fXqpHbNndGyQo0VX0zIPZ9odv0rPgoNvyBCNEigvHAUGPLKJQ8TGLNUv5ogtZvqdH02yJ6cuU6qlRnLqGWaxfa6RCdxo73J1aC6J9uOvBHe5yReTgVEtZ2OAOWG1CiFX3oKZWQpm6WuR5pJcNg+QwDO4FWit8Pl5KgQgQASJABIgAESACRIAIEAEiQASIABHIMwKkbhcCcpc8ZYkAESAC0AJA2yJmdG0EFOPcy7ykwl3ilE/vYgBn2c5VEiQp9SlxNzQ1P7CPTSYj9d5Gj9U/SODuo4xc8rHiNwzufpNhpE6mpyRJ8KS4YOJrA1oXSDF8pGJjJ7tTa4aZ+8wJDR40uJvKIwZ3W2m0wd3Y4W7VXKgVBndjh7u/eDggK5CCvugl6PB0+ENS6UoEiAARIAJEgAgQgTQRIDFEgAgQASJABIgAEcg+AWY5yv6gNGJ8Aq5awBd1HmH8VlRKBLJAgBmUWxZK4DZeU/Y9mKRvghJQMIpNJkqipoLbeqNKUktamD3Z1xG/j7+TMTM8v8RvwEpNzF7u76UNN3rzRQHWPPww8SeD5VRz8k+IiR/SmkBXJirugy8qjN9TA/fjH2oglxo73O16JwqY0Z2Xe82FCFvli8sQ+tMdrDyY0e1Bg7vuRl29hLIA+5BjdXr5CBYDipPBFClAbUtR0WC/vL2Q4kSACBABIkAEiAARIAJEgAgQASJABIjAoCQQY3AflDPMo0m1L5WgGmcL5pHWpOpgJCCZAM2nY/SO2qCbnsQ+9SrWizXCpzJJbsDXE2zGbpkL+NukHsVZme1a9fY8Pje2dzXKm1XDSq+aDSN2j4MEK51ssaF4cs9jBZuGL9z/fNe7GqwVhg933mh4YAW/wM9XHkQK0IsjO9wR3PXOqySboasJftSv1lCqGS5l5OHDeTWUwsjigdrhEmUUEQEiQASIABEgAkSACGSHAI1CBIgAESACRIAIZIYAMz1lRjBJTZ2AFpAgm0F/RGDACUjMZly2FqBYBlyVfivQ+LeEaD/u3ODuGJGaETpaCW7AtkY2dEdXiTsCzAU9yy6ZosM5JqZbtwzf4W4tji22BgyDtGqJGKljW3TP8d3qfblDwccWDQLRi3/FEYP7sKDBPWA13MzwUbUog7seZXCXHYbBnbdpretEyIe7Xl7Fi2ByFogrjzSXsaDA0xSGPAECQASIABEgAkSACBABIkAEiAARIAJEIG8JkME96acu8w35blTubiLzI9EIRKB3AkWTdHDjdO8tc7sF3y2uq5nXkRv1LUUSzBE7dJ8HLRgJ2Mr1mP5mzTC4a9aIG5aYBmnIVH8hgxvaO6oBV40UkVhYGk4Xaw0irdkieuhjp8Bzzm0iqOtsJup5JNsjiwNl7mW8SAStwtjhjuChqbxQcxnz42kKRIAIEAEiQASIABEgAkRgYAnQ6ESACBABIkAE+k6ADO59Z5f2noXj9UGxozjtYEjggBDgh6a2LYkyug6IFv0fVFaAaIM73yjePKd/8+qo7t6fL05UzNB6VZgb5rkOPTV0jtbBd6eH2ug6YNeCPs5tESN2qL6na/2fErzN3fXt2qdtlQ5LMWCyA/ywWS0QaaE7WUUkK1Ja1E523WaHNnU9EfTCyG54pYAJE62BKv+SYIo9H2WGD3dEz4V2uIf5UIII9EiAKokAESACRIAIEAEiQASIABEgAkQgpwnIOa0dKZc3BEjRwUegdbE0KCZVto6OaFdNqgdJGaB7mnzHCgmexp5a9Fy38qvUPnp97V5IYFZ3LtYeMWLzbG+BuwXytvTWCuis01E8WRMNzYU6TI7geKxEL6lgcZdHQe9b+ZUCW7jTiEDE4I5yY4e7bneG6yV3ZzhNCSJABIgAEcgjAvzrQuRfRh4pTqoSASJABIhAXwlQPyJABIgAEeiZQGpWn55lUW0/CPAdrK0L+S+WfgihrkQgjQRKpulwDM//X9B8DjG7xTX2PpP7Ny9bmQ5PE5MTxbujGlC9UQUJknwnPN9Jzl23xGvirpPQuSq2xtce5W7FlprB3ezU4WuPlRcvV7WeDGtwc3pBFeAcHdXKZIKfb32PKpKdEWN5VHFM0lQQ0bXKvyhcp5VVGukolzOShwzuBhSKiQAR6AcB6koEiAARIAJEgAgQASJABIgAERhwAmRwH/CnwFBAY4a69qWSkaF4kBHIz+kUjuW7nPNT95605gbo0qn9M7gXjNahWCIyVB/Q/K8MxdrTyJE6brD3Bz3EREqNFDfcA7GfBYG2iDFaivJ7jiT+nGOAsjUiuibRJW4TvzVojQ/Wys7CYKqHS9TiwIjAUtHQV8Ks+SIF6I6IDNnjCpbShQgQASJABIgAESACRIAIEAEikK8ESG8iQASIAEAG9xx5FWh+QDKD/ogAEUgzgZb5EqJ9pis2wFrWv0HMBUDhuIgMTwNgi+N1JdIiNlW6pg77sNiyUM7XBuFLPZTn10BHxBgtO1Pz4c531MsWLiV+8LVJaDNs4eEGfKe+t0UK53nCXxA5OJXnTcW973CHhcHmjVlw6O0sZo/QgaksCVlGIKic4kuwAsHbUSACRIAIEIH+EyAJRIAIEAEiQASIABEgAkSACGSFABncs4K590EkE1A8sf+7UHsfiVoQgdwikGlt3PXc1Uus8TjdYypmCSH/5/2SzT4CuDHeXMASUYIC7e5wTilg1v5wrv+J2l+AghGxfPztEprnxsrWnbE73E0lkd3psS0jOd3WfXFAHh7Z4c5b+s1OfoHZH9nFLwooIgJEgAgQASJABIgAESACRIAIEIFBRYAmQwSGCgF5qEw01+fJ3SM7x8Qa2XJdZ9KPCOQDAe6/XVcjmnrqJbQvjzUwR2qTT7nrAE+DIcc2TIel9zNEY4S7G2KyRoaJcxjniRr5YKy6IjvcFac9WJr8pe5XGfEOeeXnRjhHA4ot9rNHUnToqhQ7QFGswR0FvRvcYY3scA8J00P+24MFAX67AEubyODOKNCDCBABIkAEBogADUsEiAARIAJEgAgQASJABNJGgAzuaUNJgogAEcg0gSfb56CZH3iQwkAlk3Vwv+2hLt52INDRxZgcqkzlKklojZwDmkpP0bZlroSubltERUxkZPQog7vZmfoOd5NDB9+1bkiLxMWMTWkc/+4muwRrSawRXi4piXRkKd1h7ExnyYQP3dp9cUArHxHTXrUa87GqndBjh4xpRxkiQASIABEgAkSACBABIkAEiAARIAKDlwDNbDARkAfTZPJ5Ltzw5qrL5xmQ7kQgswRaNR9kXUK9GnGvksyI3Lc699sebqsCfAc3+vnHDz71NEnwNEpoX5a6MGsp4G2KtTDX/8n9zXdfDNDdkR3u5qLuu8Z7G93s1OFt661VpJ7veC9bO1Y3c2mswR0FRZEOiVKyDL9sja3tYnDXrIbB3aa74PbENqUcESACRIAIEAEikAMESAUiQASIABEgAkSACBCBlAiQwT0lXJlrzP1Me5nxLnMjkGQikN8E3uhcBKsko1Htn1XWPkJHwahYY3JfyHBXNcM20NC2RIJs6m4kRy9/BSMBHZF+/GBXbxPAd6N36+qO+De3lCZh6O4igB/wWrGuHlPqaWTjazFFPWaUrgZ3e+873LnAgBK7y12riN3hHvLzbtM74fVEePC+vQWqJwJEgAgQASJABIgAESACRIAIEAEiQAQGP4F8m6GcbwoPVn31ACCbB+vsaF5EoH8E/LqGWmaRPqhwCja2VqYkrH0F4Inyl24pBILndKYkJ15j7m/d2wLYKmKN2fHadi2zluoonhjp566XYI/jv533k93Grv4AzJAUmRf1K3gaJbTMl8DWL+LK4a5dOmtiq7Si0pgC3RZrSI+pjMqoJkc4p8sy9JKKcJ4ndHtwh7vWCY83woPXUSACRIAIEAEiQASIQI4TIPWIABEgAkSACBABItCNQP8tN91EUkFfCNjKmNGunIxNfWFHfQY/Ae5GZitbFWRIMCWyEifAoPsluOqkBLX9K9ZVoHJDDUoXryl9kVowUkfZWnrcrpK3U5R7lQJx7UvE1izC3VzMmO6oCme7JSSGq+FPZhzXoqoKIy5l9C7G96hW3ZIBc8Qw7y8e0a0edsMgb9M74KEd7t359LmEOhIBIkAEiAARIAJEgAgQASJABIgAESACA0FAzuqgNFhCAvbhOqwRe1bCdlRBBIYigZGmAmxtH9mnqfMd7f72SNf2pRI8jZF8f1LcrQz3xd5XGZ56CQGX0Zvf4ZJoLUH2Gjvc/bJhnDZ6pBbX/SLDHdzpz8cqHBPfuB+SyufGFxRCeT3a4J6kOxneVzVHDO6o6G7llx3GIoJV98Dn6VknLo8CESACRIAIEAEiQASIQJ4QIDWJABEgAkSACAxRAmRwH6JPPE2bCOQrgVua/0AAyRtmrWU6CidE2vODTlVvbsze1w60sQUAPp3oHehdtVP8xg53f7TxumujXvLmQh2BDkm0KpmmgxvURSZBxHfcA0Z7sD/dWcxi46EXFBqJJOKCssghr/Lw7j5zZGfEF7y/vSMJidSECPSfAEkgAkSACBABIkAEiAARIAJEgAgQASKQKQJkcM8U2RTlti2VkCtGwBRVp+ZEIKMEVGaNnukNbs1mI5XIFjSqHpZK7sENy44ot+9aQIdsihiSk5OSmVbWEh2+FgmNf0voqE6sk8lvbIP3m4zd4H3RxlLMDO6uxDpB4IYAABAASURBVGN0lVm+DuNk1iPFkoSQK5lUDO5mZ8TgrpXFMbgXRHbAq+3GPCODUooIEAEiQASIABEgAkSACAxKAjQpIkAEiAARGMQEyOCeI09u22JmzNJyRBlSgwjkEIG5vmYsDLSGNSo32dGcgsE93DGYKJ4EcONzMDugF2vw7AZXrQTH8CjjdhetlKDfGdXcd5cyztFA6Voamv6V0NNu+i5Dx2S9p1wLzzm3IfB/x8eU95TRbVE6x3EpYyqK7JZXOzp7EkV1RIAIZIUADUIEiAARIAJEgAgQASJABIgAESAC/SFABvf+0EtjX80PcL/KaRQ5uETRbIYsgSX+NkxQIkbZ/QsmYQ1LaUo8+IKWu97oYivXoViNdC7E3HWLjRnee9LJEjAM0X5L33e487lyn/Hcn30iX/G8TSh4GqVud91o49eANnU9aFXjQ816v1ojO9j18u473JWoHe56J7mU6R0otSACRIAIEAEiQASIABEgAoOcAE2PCBABIpDnBMjgniNPYNFEHbIpR5QhNYhADhGoVOxYi28F749OOuBpkPojIWN9zWwtYdiGWo/yLapxaKpuiRive+yQoLJ9GVBQlaCyS3HbYgh3N12KU87qUQZ3rSzKt09Qkh51AKvuMhYWglV0IQJEgAjkHAFSiAgQASJABIgAESACRIAIEAEi0BsBMrj3RihL9SVTmEUwS2PRMIOOwKCe0Ca24bBLkdUo/k7xp+gThRu1fe0GpqbZEvrhkcYQkuXYohm+zTVb/3a4l67FDO6jOcHeJ8CRa4He2/XWIrD1HsINDXdFo5dUdG8e7XLGYywsdG9EJUSACBABIkAEiAARIAJEgAgQASIAgCAQASKQBwTI4J4HT1JfVXy5Yz7uapnZ1+7UjwjkJIFOzY/7Wv+K0e1Xbx3+jDpYNaaSZWwVOkqmsgR7uFZL0JOzObPWA/8I+DRYdbehiK1/O9xNDh3JuJPhg9nKdMhWnSf7FbgbGeGGZup6ceXo9sgiguQhlzJxIVEhESACRCAvCJCSRIAIEAEiQASIABEgAkSACHACZHDnFAY48N22bUvS7+5iY+twVCpRBxYO8DxpeCKQKoG3OxfDq6sx3ZyyGX5o8ESV/+KpxVizM6ZdOMMS3MhsLTGMx5rKDMmm9L/f2DAZefhaOyNy+7nDPSKo91ThOMAeZ0N67z1TaxFtcFc8xk7+1CRQayJABIgAESACRIAIEAEiQASIABEgAgAIAhHIEQJkcM+BJ8LfAbhr028AHG8uwh4FKRxumAMsSAUiECLwk2e1cCVjlZRQUfg6UilAi+YV+XrVDRkSVrI30rJA0G+MqIkfVawLSCbD+I48+PN3eMJaSo5BuIBmsUJnzx+fpOKNWlzgBRSIABEgAkSACAwSAjQNIkAEiAARIAJEgAgQgaFDQB46U83dmap+QDanX79W1YtCKQOC068qSSQC3Qh87V6F7e2jupXzgiMKp2FE8O6NMtmGE4vXhkmS8Yu3jlfHDS3zJLjrJDhG6JCkuE1ysjDQHjFCy+k3uCecc6BTgq8tO6B8bHGQK6L4I3PleQpEgAgQASJABIgAESACRIAIEAEiQASIQFoIkJAsEiCDexZhJxrKXCDBOUZLVN2ncp+u4dG22ZDzybLYp5lSp8FCoFGL7OTmc7qodANY4uxu53XRQWGvcQUSJpqLsdjfGl0Vk+aiPE0xRXmRUTuC/tuZtoozezvc3Y1A+zI2aBYefosxLzMZ3LNAm4YgAkSACBABIpBrBEgfIkAEiAARIAJEgAgMLgJkcM+B59NSpMNemV5Fmpjxku/8fap9Dto1X3qFkzQikEYC3Ed7s+qBWwvgzc7FSUn2swUltx6AzlrzQ1TZBTZmUT/MOTXGtzsvDwWzE/C1AfV/ZmfXdmjc/l7Vjsiub8XRv0NTU9FFVgD2lKTSpc9tVQt7clhvcyAyV5Yd+AdpQASIABEgAkSACBABIkAEiAARIAJEgAgMfgJpniEZ3NMMNFfEuZgxcqK5CKquM4O7P1fUIj2IQDcC37tr8I+vCaNNTkw1F+Pxtn/R1ssiEffb/kL7fPzsWY3vPTVhmVwGN7yHC6IS9kodJZMAb1N+Gdy1zogRWiksiJpRZpOmAh2WosyOEZKuBXe42/ROeGl9MISFrkSACBABIkAEiAARACEgAkSACBABIkAE8o8AGdxz4Dlz1TIjYHN6FZloKsKOjjFwSmZ06GRwTy9dkpZOAtVqB8aYC4XI6ZZyHOycgiLZIvKJojLFhkbVgzm+ZqxpKUvULKZcYp92sk0Hv8ZU5HhGc0dc7ViKDNcr2VDZWgIUT9KzMRQ0q7GQYNM64PHk14JIVgDl5iCkFREgAkSACBABIkAEiAARIAJEgAgQASIQhwAzQcUpzdui/FS8c5WEgDszRqa9nRMwnhnf85MMaT0UCCiQMFYxXIrw+TplM7/0GPgu9mLFAjOzno8xRfryTo+1zYYmnM3wXGxgXVC+TnrPS4gdIQM5tyss1FSYPZcy4UGzkNDthsHdrrng9WbHyJ+FadEQRIAIEAEiQASIABEgAhklQMKJABEgAkSACOQmATk31RpaWnHvGbIpvUYm7nLDo6uwSyZYmFFyaBGl2eYTgcMKp/XpcN+Ti6bjcNa361wd7DWf6PDUlvkSdDUzi1td9Uhb3h1xKWMuMgzTaZPdgyDND7jrssQqaHAXLmVoh3sPzwpV5Q0BUpQIEAEiQASIABEgAkSACBABIkAEhiwBecjOPIcm7hwDWIrTq9CLHfPBD6OMlkppIjAUCEw0F2OJvz3uVPkOd29L3KqcLZQ8xg53j5Q9dzIchhYAGv/OjsFdKjAWErjB3ePlo1MgAkSACBABIkAEiAARIAJEoD8EqC8RIAJEgAgMHAEyuA8c+/DIBSN1KNZwtt8JFTo6ND+KZQsW+lvxXueSfsskAUQgEwRWBjp7PSA11XE3tQ7HVvaquN1MTg3etrhVOVsoeQ2Du0/JrsFdNgHc6J4NMHKBMTeJfXYF2oz5ZmNcGoMIEIEBIUCDEgEiQASIABEgAkSACBABIkAEBjUBMrgPwqe3XfNhHUu5mBn3dV2vRQ5dFIUUxSFARQNB4LWOBWkfVpYk4UopnuCCKgnDN06v+6Z446SzTPEZLmX8irELPJ2ye5IlMYO7ozI7rOTCyNwC7R09qUV1RIAIEAEiQASIABEgAkSACBCBfhKg7kSACBCBzBIgg3tm+SYlvXmuBD2Ndq0S2Yq9CiaIsZ2SGe2qT6QpIgK5RKCVLQxJkoQi2ZJLauWcLorP2PHtNzmyqht7alCxfho/mHrQ3uyMGNw1l7uHllRFBIgAERjkBGh6RIAIEAEiQASIABEgAkSACOQ9ATK4D/BTqGtA22IJ3LiVCVVKFCtOLF47E6JJ5hAikImpdmp+bG0bmQnReLRtNhrUwWG4NQWMeQTM2TW4Z+SJSSBUKYzMTe0wdvQnaErFRIAIEAEiQASIABEgAkSACBABIpBBAiSaCBCB/hMgg3v/GfZLArM5Qjb3S0S3zvXM0NimRXa127lviG6tqIAIDCyBkaYCbGAdlhElTJDh0dWMyM62UIvfMECrA2Bwd9dK2fHjbndGsLqM+UYKKEUEiAARIAJEQBCgiAgQASJABIgAESACRIAI5AUBMrgP8NMksWegdE0trVp87FqOBpX8tqcVKgnLKwJW9sby6IEs6ZzZYcyq4VJGtUZ2gWd2xIj0prkS2PpdpCBDKd0eNTe3Md8MDUViiQARIAJEgAgQASJABIgAESACRIAI9JEAdSMCyRFg5t7kGlKrzBDgu9udo9Mru0nzoEyxhoW+2rEAywPt4TwliMBAE9B0Hd95ajKmxsHOqZhkLsmY/GwKtmjGjm9tAAzusglZ2eGu2yI+3CU3HZqazdcXjUUEiAARIAKDhABNgwgQASJABIgAESACRCBnCJDBPQtPRdsSoHWhlIWRmHGMGTJHKgXgB6eGBjRBRhv3XRMqoCsRGGACy/ztWJrBRSBFkiAN8BzTNbxDCy6WWSNG6XTJ7k2OY7gObnTvrV1P9UnVRbuU8Ro+65PqR42IABEgAkSACBABIkAEiMAAEpBrV8D05VsDqAENTQSIABHIHQKkSYQAGdwjLDKWUt0MM3vEG8DXCnSuTJ9pUGaGxgOck2OGKlQsaI/y6R5TSRkiMAAEVmqdqJKj3IgMgA75MKSvI3IWA2z2rKtcPFmHuTDzw+psbnpwicTkoR3umSdOIxABIkAEiAARGFIEaLJEIP0ENA2mj1+C7foTYXntQcjLF6R/DJJIBIgAESACeUsggRk4b+eTk4qrfkAx63F18zZL8DTHrUpb4fa2UdjYNjxt8kgQEegvgUrZjg1s6TkwteG3+Vj50seofuw11Hz8E1r+WYr/NSzB+7N+wco3vkT1vU+j7qrr+qvygPT3tUft9i7I/g73bE7abzIOTlX8Q8ngnk3CNBYRIAJEgAgQASJABIhAOgjIq5fDdusZsLzzJBAICJGWp28RV4qIABEgAkSACHAC3Q3uvJRCWglUrKPBWirFlck9vSjmuFV9KuT+22sCsYcOmiQZpuDuUdAfEcgBAlMtJSiVI+cMJKOSu7ENtV/+gepHXsHqa25Gxzknw3HKThj7xGmY8s0dmPrHo5j0zhUY+cAJKHvkMhR88RCmfH4Tps55AePrvkFHdWMyw+RUm0BHxOAu2bJ/R4C3RUK27N9+i7GgoPg9OfUckDJEgAgQASJABIgAERjUBGhyKREwf/oKbNccB3nZfNFPLygSV7lmGcwfPCfSoUheNg/Kz5+HsnQlAkSACBCBIUSADO7ZeLIZ5dU/SIjn1cVapsM+PP7u976o9ounFivUoM/nvgigPkQgBwg0zlyElW9+ieq7n0TjJZdAO/1AlF++Hya8dhGmznwcE1d/gUrPooSa2gIqPCYlpr5j4YqYfD5k/G2R3d6y0zBIZ1NvVw3gqo2/WJhuPVSzMT+T3zgkNt3ySV7+ESCNiQARyE8C0srF+ak4aU0EiAAR6IGAVFsN661nwvzW4+FW/l0PhfvGl6CNnSLKzO8/C254l9pbYHn2dthuPh3mD18QdRQRASJABIjA0CLATMFDa8L9nG2fu5scOvyu7oYrWzlgLemz2G4dO7UASmRbTHmj5sFjbbNjyihDBAaKwKpAJ37z1InhfW0u1H7zN1Y++SZqbrgTbeedLnatj3nkZEz57CZMnfcSxrT8Bqca63fJLRdgRfGGmD/1IMzf4WIsPeT2cFi446Wwj/g/zJh6PBbteZ0Yh0eBFSv5Ja+CGrXDXXFk34e7pAC6mh1kqtUhBrJrHeJKEREgAkSACOQfAalhNey3nAHlj2/yT/kojbmxTPLSHVdRSChJBIYqATFv03cfwn71MVCWzBF5bfgYeC5+AP69jgEsFviOulCU88jy8NWwXXU0TD9+wrOQ66ohrVgk0hQRASJABIjA0CFABvcsPNfVX8r7a4M/AAAQAElEQVTi4EHNl76d7Ijzp+s67LIJU83FMbUOyYRmzRtTRhkiMFAEvv/tV9Q+8yL8ZxyOkov2xoSXzsWUXx/CpOqPMMI1r5tazZaRWFaxJeatewwW/9+NqLvkRegPvI3ym2/G6HOOx+gD/oPKbWaEw8j9tsfYkw7GyP9uhqrdNgM3znOh0ur82+GudkbcQylFhkGazyVbwVqiw2y4Vs/4kLrdGMiqudDaLmV8PBqACOQ3AdKeCOQmAetztwF+HyzP3gY5D//vhqhaH7sW9rP3hPWRq0NFdCUCRGCIEjB9+z4sL9wVnr1/54PgufpJaOOmhsu0kePh2+tokRcGdnfsHZvm378WdRQRASJABIjA0CFABvcsPNeqV0fZ2swYXtl9sLYl6fORLEkSdnOM6zaInRncA8wYH9C1bnVpLSBhRIARcNe3onHmItR+9itWPv8Bqu9/FjXX346GSy9D4IxD4P/7NWyy5CsUB2pZ69hHTcFaWDhmd8zf5FQsP/xutN7+Pqz3PINh112NMaccihE7bwzn2GGxnXrJtdrHiBbW5vwzuGuuyJd10wC4lLGzz6yCkZldKBRPDo8chksZm94JV2eWxuTjUiACRIAIEIG0EDB98x7k+X8JWXx3uOXRa8GvoiCPItPHL0Fe8LfQWJn5PaTWJpGmiAgQgaFHwPT9R7C8eE944p6zb4P//44P56MTgV0PQ8i1jF4+HN6jL4I2fppoovz+P3EddBFNiAgQASJABBISIIN7QjTpqTBs3BJkE+L+uYV/5Mzv5rywZH3ww1PjKkGFRKCfBFr+XY7qe5+G78zDUX7l/uAuYSa8eSmmfH83ps5+DpNWfoKxzb+gKNCALZfXorjTiRXFG2H+tEOwYKdLsOr0x+B66DMU334PRl56NkYf83+o2HJtmAusfdKM39HxYKvxY9lVbBjcCzuq+yRrIDtJLnd4eHORLZwejAnJbrjMsesdcLkz/5k4GBnSnIgAETAIUJx9Alr9alhef1gMrNuNBVS5ZiksL9wtyvIl4ocgWt55MkZdqaM1Jk8ZIkAEhgYB5efPYHn+zvBkvadcC23aeuF8vAR3LcN3uruvfx7qpjsisNnOohl3tyUvnSfSFBEBIkAEiMDQIEAG9ww/zxIjPG5XDVoA8HfGGpF4madZh9nZ/92cbj2AL1yJDYpkbM/wE927+EHTomXOCqz+5BdUP/Yaqu9/Do0XX4KR9x2HqXNeQIm/+651PnG3XIh620QsHLs77P+9Bpb7nkf5zTdh9NnHYtS+O6Bk7fG8WdqCVVLgYu8JLtBfMZpfUOpfJa75FOlRt6PaKtJ42EOSEAIewNOYZON+NlOchksZp9YCt6ufwqg7ESACRIAIZJWA/9GbwV3J8EG9J10tDE08rfz6Bbg7Bp5Od+B+1q2PXJM2sXw3vuXJG7vL6ySDe3coVEIEBjcB82evwvrKg+FJek++Buq6m4fziRLctQzf6R6qVzfYJpSE8ttX4TQlhgQBmiQRIAJDnAAzBw9xAlmaPjeu1/4Ua3DnhxFWbqinRYPfvHWQpVj5aRFMQoYkgdaFq7H6iz9Q/cy7WHn7w8IdjPfMo8SBpiPvPRYT374MU/94FFNnP4sxrb+FGbWYhmPBGodiwQ4XYcnBt2PV2U+Lnev6A2+i4K5HMPKSs1G55drh9plK2JjB3cPfYGwApcowuLMkmv9Zyi/5EzyRHe4DoXSgA2hdkJ1/E0qRYXDn83S3+fmFAhEgAkSACKSdQPoFyl+9B/XfP4TgwBb/FTtAfYecBX6oIC/k7hj4znGeTlvweWF94DIoM79D1x3pfR3D/OajkOtWiu6BXQ4RVx5J7WRw5xwoEIGhQEBeMge2a46D+c3HADf7Iswm7T3xKqgztmCp1B96YQnUaeuLjsof5MddgKCICBABIjBECGTHkjJEYPY0TZMNUH2A4WLGaKlYAe4j2cj1L57lbcQMS3lCIR+5luF3b33CeqoYegQ6ltej7ptZws/6ijsfR/1ll8N91rHCqF51xxGY+PpFmPrTfZiy6A3hDibRDvFGyxgsGLUblh56p9i5PuqsYzDqgB0xfNsZKJk2Kgbs954aLPS3xJSJTJojGRIuLdlQSLWOj+jgWWL8kBYVeRDJHuOLfqdSMiDaSiYJWkDPytjmsuLwOGoLGTfCMChBBIgAEchRAnJTnXC3oLxg+DfWi0rh2/dEoa1utcF38tXQLVaRtz56DdDZLtLpiKzP3AJ52XwhivtcVxbNFun+RMrc30X3wDqbwr/D/4k0j6TONn6hQASIwCAnYPr1f7Ddeibk1cvFTLXJ0+G55EGo628l8n2N1I22E13l5nqk47NKCKOICOQ7AdKfCAwBAvIQmOOATtFVC9T9amB2jNChetKjTlOUIK+u4kDnZJQpzKqfQHyBZEa75ktQS8VDhUDLP0vRce4pMJ+6OypvOhTjXzpf+FmftuAVjGv6GeW+FXFRtJoqsaJkIywctxfmb3QyFu97E2rOfVbsXrff8yRGXX4OKrdeJ27f6MJZ3gYUy9boooylQ3d8FE8xfLjzgQKr4s+P1+VikHzGB4ZPcQyIeiabDlt5dobWC4rCAwVaybgRhkEJIkAEiECOEZBXLoH5w+dhu+ww8AMFQ+r5Dj0bKCgMZaGNGAvfYeeIvMSM89anbxbp/kZ856nyx7cxYixP3QTJ0z9/ZFLdKgihoyaCLx6INIuk9sxvFGDD0IMIEIEBJMA/P8xvGOdQaKXD4Dv2UnjOuwva2Cn91iqw/tZhGbTLPYyCEkSACBCBQU/AsAQP+mkO3AQ1PyBbjPGHra/DFGU3a5ot9dkAz32y39kyE8sD7eD+qisV48BBY6TusVPmBnemTPcqKhkiBPytLtgeuxqV7oUw690XX1xyEVY6p2PxyF0wf8ZxWLjrlag++WFhVDff9wLKb7oJIy8+A6OP2w8jdtoIxVOqUiLHXby0634M6+W1mpLQJBqbCizgCwa8qak+8TkHvD7XguLt5CrBP0AGd76GV7qmLnTIdKQ7I7v49b7evp/G3ZOZni/JJwJEgAjkDYHONsjzZ8H8wXOwXXIIbNefCPN7z4TV1zbeDra7XonrckHd5D8IbLmraKv88wtMH70g0n2NuD947luZ99fKKsFd2PC01FgL86sRf8u8LJUQbVTXSitFVz24eECHpgocFBGBQU3A9OELkFqbxBz9+52EwMbbi3RaIvZZoq69iRCl/EZuZQQIiogAEeiJANUNEgJkcM/wE6n5JShmdPvjPt07VkjgBi2k+Lcq0AmbpODEorXxpbsa0bvdE4nawDoMexak92DKRGNReW4SaL7zDpT5DJcqK4o3woI1D8f87S/EsiPvQfNNbwMPvIHS2+7CiCvOx+iTD8bIvbZG2YxJaZuMxCSdxF6z7JKVxxNt/2Ile6/wwdqcY/kF9tYV4povkSlg+HAPRK/U5YvyKeoZMmzwbnJnG7+kHCxvPQbr3RdCXvhPyn2pAxEgAkSACBgE5JqlYue65YW7hC9jx/n7MYP6+TC//yzklgajEYv5AYKeSx+CeuLlkCurWEn8h+/A06GNmiAqLe8+DXneTJFONZLqVoL7gxf9HIXwnX4jfEecB+4ChpeZfvwEyqwfeDLlwHfghzrpJeUiGV4I7mgVeYqIABEYnASk2mqEF/KmzIC64bZpn2hgI0Om1NbEFjD79hmYdqVIIBEgAkSACGSUABncM4oXKJqgo3QtTYyieiT4O7nZEfC1SrAUp75zlLuPea5jHizM4M53rR9duCb4bncxAEVEIAGBFU++hfF134ja6qINUHbTTRh15lEYfeBOGLb5WrCWFIi6TEb8ToySLLmT4fPg43n1AE/CW2IcnFrqyjODu9/Y4R6wZP75EaC6RDr7iOqoNj6zulSlPas7Iz7cU9pNGKWJ1LAayrw/YbvjHDK8R3GhJBEgAkQgGQLy8gVwnLcvbNeeAMvzd8L03YdhX8a8vz6sCv6t94D35GvgvutdeE+5FtqYybyq52CxwHvCleB+3XlD6xM3QGpp5MmUgumHj8PtPUwHrWqcyPuPOB+h/yGW5+5AaJeqqEwykqIWErSy4A73QuP/ktTXu66SHJuaEQEiMLAELK89FFbAd/Dp4XQ6E9qMLcPiaJd7GAUliAARIAKpE8ijHnIe6Zr3qvragKbgmU4mu47ydZk1K8VZ8R27I5WCmF5FIZ81MaWxGT6Syq1nscWUG0QEGn6Zg7pvZnULq978EtN+NW6zblWGsR/Tl0CSBtHEE0yFG9w9enCxq9IwuNu1drhqWxL0yL1is2oY3FVzzy6jMqU5f500/iUhiDFTwxhyCwqNK4vNnr7tJpTrjTs4mIgYwzvPUyACRIAIEIGeCUjc6OxqDzfSC0vAd2X6Dj0L7uueg/vaZ+FnaXXGFtBtqf1f0oePho8Zxrlwqb0Flsev48mUAt/BzjtoYyZBmxI5N4br6TvqQl4FfsCp5bnbRTqVSGquDzfXgy5lEDxbhMsMV1KCCCQgQMUDT4DfhcPvhImniemXLwGft1sVd3WlzP5FlPv/sy+0kZm5I1y3F4TdbplmfifGo4gIEAEiQAQGNwEyuGf6+WWW7pCd2+TQEXAZlk7uIcIcazdPShOPHsAMi3Gra1Idgo34qG92LsIcX3OwhC75SKB9WT1a5kWMinwONe9/Lw5CHfvUmeIQ1PEvnR9znfzZTbyZCK1HXAFbZYlIZzt6qWMB6lV31oY9wDkZa1lKxXiWsYbBnWc6F63il7wIFtUl9FRtffiwED37H8kmgH3s9F9QEhK8VuO1afay1ckk2ndtEnIJoE5aG3rQJQDf8R5tSOnaZ5DnaXpEgAgQgeQJhIztjkJ4LrgX7ltfg++4yxHYeg/oFSOSl5OgJXfTENh2L1GrLJqN0AGFoqCXiLuKkdqM77CBrXbv1lqdvgn82+whypXZv8L0zXsinWwU+v8hduEHF4C5IZ/35wsE/EqBCBCBHCbg7oDp89dgfeByIPRZFlTX8vaTsDx1E+wXHgjLaw+CG+X5HT2WJ29i7S8Trfj7PbDHUSKdqUjdIOhWpr2lz661MqUbySUCRIAIEIH0E5DTL7I3iUOrvu43Ce46bu4GuIGdh/4QWMtShnWtFX0SsUfBeLznWtKnvtQpuwTc9a1o+GUuVr75JaqfeRcrb38YnWcfj+E3H4qRdx8N+dS90XTxhfCdeQQmfXA1Kt0Le1Vw3uZnomLTNXttl6kG1f52OGVzpsT3KNc+cUy43rt0eTid64mQwR1Wx4CpWjCarRpmaXS/zbh93xZohc+f2qD8x1OoBzcO+Q4/N5SF3FQXTlOCCBABIkAE4hOQXJ1GBTNW6VXG2SdGQfpi38FnhN3QmD9/A0qSOz25exuhhdkCdeMdRLJr5N/vZGiVo0QxN+Zzv8wik0QUWpjVS4ZFWgddnUmtqbu/iQihFBEgAkDmGZi//QCS1wO5rhrWR68L3lVFUwAAEABJREFUD6j89SNMn7wk8pLXBdOXb8F+1dGw3XQqTL9+Kcp55D/gVOi2zH7fVtfdjA8lgum3r8SVIiJABIgAERi8BOTBO7XcmJnKjEayKWiwYnb3yo016Cqw+keWybKKdsmEgwqmYKG/tceRmYY91lNl5gjU/u8PNF94Lsqv3B9jnzoDUz67CVN/ug9TFr2BYd5l4YFtugujW/9EiX+1KGtXyjB/8zOx9JDbw4Efhrrq9MdQf/lLaL39fYw5ck/RdiAiH3vRB6CDvwYHYvyiCZXww2IMvbrauA5QzF3aNM5ciNWf/orqFz5A9f3PoeaGu9Bw6WXoPOcESKfti5q3jC/h/HnmamoZ/gHAx0gUytbSkYTXqkTdUyrXHEWivVNvgzt4N5AoSCKS66PuXBg2Enp5ZDdmaOdiEmKoyVAiQHMlAkQghoDk7gjnufuDcCbNCe+JVyJk2LI+ewd620HOXd0o//wstAhstB0S6maxwnfsJaKd5PPB+tRNIp1MJDUbC7N60H8776MVGIvAPI0oNiJPEREgAjlFgBvSQwrxuxstL9wldrJbnrxZFPPPHG3sFJGOjvhdN+4bXkBg4+2jizOS5jpwl1xceLKLjbwtBSJABIgAEchPAmRwz/TzpkpQgnY+BP88zYAkSYj311OZlxktZ/uaemrSa904cyEmm6N+QLAerih/Ec+1z8OjrUFH86yOHtkh0PjbfLSefxYmvHoRRrX/3W3QFvMILK3cBvPXPlKEheP2wmrHNLjlQsxf52hoNz2N0cygXrnNDITCsM3XQsna41EwqgLmAms3mdksMEHGWSUzsjkkfvbU4hNXZDd7s83Y9WZtWpExPdoW16L+x3+x6q1vUP3EG6i+83HUXn0DW0Q5D74zj4TjlJ1QcfUBGPPIKZj41qWY+t3dmDr7WUyq/hBjm3/BMM9ScD/z8szv4GnqDOspDaDBPaxEFhJageFSpkBtgcsdXKhMclypcXW4pcaM7XrULkWpqTZcRwkiQASIABFIQCBkVHYUJmiQnmK9oooZxi81hLExzW8+ZqQTxNGHpapb7JqglVGsjZsG397Hioy8bD5MP34q0r1FctCHe7TBXQ8emsr7Su1t/EKBCBCBHCSg/PIFwneiBD+/TN99CNuNp4Lvaucq+46/HJ5LHoT76qfg3+lAEdy3vAp+1030+x4Z/gu7lelohTL3DzEaRUSACBABIjA4CZDBPcPPa9XWGpiNOzyKr00SLmYsxakZk7gAvjN9bpp8sPPRv/fU4J6WWWjTfFy8CPs6J2K4yYG/fY0iP5Qjd22LcOvSubIhLRh8bS5wWa1zqsEN7Ku/monqB1+A56yjMeaJ01DV+a8YxyUXYf5GJ2PFKY+g/rKX4XroM1jufQ6V11yB0acfIcLIi89A0R33Q3/gTYw+9TD2Gkvt8DIxUBYjmS0wOSRTFkcEbLICD1ukCg3qKjLcyhR0VIeK+nUVhvVbH0DHuSdDP/0AYUwfcdvhGPfsWZj86XWY+tvDmLrgFUyo/YotovyFEn9N3PE8kgMN1nFYWTQDLebhos2oup/gbWgXaR5Jjsze4srHSBTc9YDqSVSb5vJCw8jj0NrgSnGHu1Rn7HDXrTboxWXQbXboBUVCQSloSBEZiogAEUiGALUZggSkoEsZ3VGQ8dmr62wKddMdxTimnz6FvPAfkeaR1LAapv+9DYWVSR43QgZ3bfgYqJOn8yY9hsB/D0HIgJasL/fQnVB6SZTbRqfxP4QPJjHjGL9SIAJEYGAJcLcxyr+/xShh/vw1kddLyuG++AHxPZAXSF4Xv8C/x5FQ195YpPXho+Hf9wQR9CLjrCdRkaUo2q2M8vs34VFNP34Cy/N3hvOUIAJEgAgQgfwnIOf/FPJrBtx4xTeUl0zlJu/UdF8Z6MAoU3p+BP3la0CL5sVRhWtghBIx5hVIZuxdMAHTzNn/AtI7jeRatC+pw6pb7sfqQ3ZBy3lnYRUziq58+ZOYzh1L67Hq/e9RfdcTaLjkUtRdeQ1qbrwLK+94FPVXXA3/6Yei/OoDhFuXYdcfIoyp3DDeePElot2Kh17Eytc+R933s9G+rB6uVU2o+fAnIa/poovQfu6pwpCunn4QlFP3Ev1LLtobXFbVvccIA/vEVy7A1L+fRplvpdDNLReI3er+m57D6OP2Q/m6E1EwulzUUZQ6ATsz8HNXNqGevnLD4F7hXR4q6vUqNdZCnfsPXJ9/gY6XXoLnkbvhvvEyeM88yjCsL3kble5F4Duy4wnzSjY0WsdgRfFGWDTqv+LuhAVbnYMl+9+MVac9htZb34X24Dtw3P04Sm+5HY3/PV2IscCLti/+J9I8krNg/ODjxAvtyyV4W1K/IyeerN7KlOBuQqfWApfxG6m3LuF6uSFocK+oCpfpZcNEmj+PIkERESACRIAIJCQQcimj250J26Szwvd/x0O3GhsGQoYm0y9fwnbDSbC8+gCsd5wD+zl7IfQZrm61W9LD+4MHq8pL54IfjthTR6klsslELzX+b/D2etCHO09LHS38QoEIEIEBJCC1NsF653mw3ncJQnfGyPP+hLxikdAqsMO+0IdVwXvaDdAtVlGmrr0J/LsfIdK5EHV1KyMv+Bvcn7zl2duh/PZ1LqiYYzqQOkSACBCB/CVABvcMP3e6FjuA2QFofkBSkPJfqWzFGpb0GMJnWCqwu2M8ShTjy0i0MjIkWCQ5uiir6UCnD9XPvofqJ99C9aufoeajnwx/1899gOr7nsXq625H48UXw332sVBO3RP+Mw4TBvPqh19G7TW3YPith2Hy0ndg1zrBd41PZkbRKV/fLoze3KUHD5W3HIrJH1yNqfNfxtiWXzG+/jtMWvEhpix8DeMavkexWt9tztwwPqb1N9Fu2l9PYcqXt2D882eLg0wrrjsIk967Qsgb3fYHhrsXCEN6ocq+GOrubrKiC5aVbYoFO14C380vGbvVixzR1YMi/Z2nBj95Ii4/sjGpqeYSHOCcHBlqxKhwunW+YZztXLAMTd/8jvpXP0Ddw0+j6aZb0H7peVDPOky8XuyXH47Ce85BxRs3o/KbJ1E28wOUr/gFpX6jf4dcwozpG2Jx1c6Yv9YRWLDl2Viy742oPvlhNF73JtQH34P97idRfvNNqLr8PHF3wqjDdsPw/2yIkunjYS40DA0hxap23ABeySirmPtZqBhygVEWLshiQjZJ0AKpLxD2RUWltEh0M8MHb6tXpJONQgYZvXxEuIteWinSUkuDuFJEBIgAEUgLgUEqRArucEeWDO56cTn8ex0taMq1K5ih/WRYnroJkif+imtgs51E22QidYv/hpv1tstdaqoLtw3tjOcFemHkO7fU0fP5R7w9BSKQawTMHz4Pyyv3w/L0rbA+fBWsD14BdLblmppJ6SOvXALrLadDXj5ftDd/9ipsd10Ay9tPiDw3sPuDi3LamMnwHn85uPsq77EXi/pcigIbbCPU4Z8rtjvPZXNaYOS9LsgrFoo0RUSACBABIpD/BOT8n0LuzoC7YVj5ZSxi7kom0Sb13711qFXj/8jgs9zYNhwlzOjO05kObl1FJ18ZyPRAXeRzA7t+0dGY+uO9mPrrg5j6v1sx6d0rIPxd/3A3pv77HCau+gRjWn9HuXcFrLoHxYE6YTCfOusJTFj9eVhivW0CagrWgl/q4kQ/3CJ+olMpwfKyzYUBNeQzff60Q7Ckcluscq4FbmSN39MorWPjLi/dRLRfNHpXLJz4f0LWvPWOw/zNzsCC7S7Eot2uxpIDbxVG2WE3XI9R++3QzfiKJP6in6Mkmg9Yk0b2ZuA7zgdMATawbfxoFhuPqruOEgb1YXcej9EvXYxx/7sb42e9gNHLP8fw5r9Q6Iv8+DZ6GDF/LTVaxmBJ1Y7CsC4/8Bozpt+MEVdegNFnHIlRh++O4TttjLIZk2CvKDQ6pRJbLFhVuanoUe5bIa48MjkHbhHGVq7DZJO4GhkPSklReAx/a2rGDaneuFNEGxZZWNGDh9/JjbVhuZQgAkSACBCBBATcHaJCz+JdVXxHqjZqghhXrl4krnrFCHhPvgbeE6+Cf8f9oE5YE4GNd0D0jnPRsIdILy6Duv5WooXy6xeAK+KmTRRGRVJLZJNFwh3ueWqkjJomJYcYAcvbT8L83jMwffUOTD9/BmXWD1D+/gm2+y8Fd8uSTziUf3+D9bazIXdxESjPnwl56TwxFbHIFrVYqK2zGTyXPQwEfbqLRjkSaetunlATef5fCeuoggh0JUB5IkAEcpuAnNvq5bd23F4tmWPnYGJ2s9I19NjCYO5r9yookPBk25xgycBd+Avj/ra/M65Ax/J6cLcstV/PQsc5JwsDe3Gc3eXRirSZKsAN3yuLZgi/1/zKDxUNteHuOxYfdBsmP/McSu64B/4HP8CK4x7Aoj2vY8buC4R/9AXrn4AlB98uXHpwH+nRQbr/NVTccK0woIZ8po8++1gMv+ZylNx2D7iRlbevOespLDngFszf6mxEy3Pe9SgqbrxBtK+67FyMvOBUIWvMSQdj9FF7YdRBO6Fqzy0xfPv1+2aUZRP16RruapkJm2xiudx/tGpeFMe5myLTmmt65L3mnBwxuCcalxvUG6xjwRdMFozbUzyvi3a+HMuPuQ8NV7wiXkv2e57E8CsvEob1RHL6U66ut3W37qYCR7eybBU4R+uwVUQ4ZnTcguKweC0Fg7vU1hz+8agPi3YpY+xwBzMiJdoxGR6QEkSACBCBIU5AYp+VHEE/XcpwESkF/8FnhtsHNtqOGckegTpjC2Ew9+93MrwX3gvfsZeE2ySbCGy9h2gq+Xww/RS5a0wURkVSU5TBvSTiUgYWK3SLxWjZntoisNGJYiIwMAS40db0yUtxB5eZgdry+PVgb4u49dkqVOb8Dtu1x8N+7j6Q2UJAonFN374vXMhIXmNTWmC7veG+6SWo09aL6eL/z34xeZ7RbQP3/ZmPnyhwvdSg0T2wzqZwX/ss9OJy0VxZSAZ3AYIiIkAEiMAgIMDtqoNgGrk5BS0gQbEmZ6hqVr0wSTIqFDtmWCvwfudSRP+tCnRivr8luiijaaukYIq5BP/04fBUPzMGe3S1R/0afp2HznNOQOVNh4K7ZZnw8vmo9CwK91kwaT8sPeT2cFh+1L2ou+hFcYCo6b6XhOG79Jbbhd9rfrXc+5zYLb7qzCfB3XeM2C72S1j5RlNRtdtmzNi9M0Yftx9GnXgghm87o0+7yhH8K15jNIbvsAFGH7Z7WuQFxfZ6CUDHnS1/4viitcQCTa8dcqDBQc4pGGcqzKomLj2AO1tnBscEbGWFaDUNhzCol22CkEF94S5XGAb1K18VBnXH3U+IBZNRF58pnteq/9sWFZusAcfIsrCsTCaG7bhxN/Gmotz8wdBN0X4W6M7IDne9PflbnuWGmvDIfGdkKKOXDg8lIUW5DAgXUoIIEAEiQATCBCIuZdJzXlBYcC8JdfJ0BLbaDb4jLzrqJWEAABAASURBVIDvuMvAjVG9dEmqWl1zQ+FSgjc2ff0ev8QNcnPwrjZHIRs71oWb7iwRfaT27H0HFwNSRAT6SsDVDutTN4reOls08lz1pPj9xDcLBTbbWZQr//yMVTfcBb9fZAckkv/8DnLNMkjuTpi/eT+uDuY3HoblxXvCdb5Dz4bvoNOhl1TAe/Zt8O96qKhT19sy/F4XBXkQBbbaHZ5Tr4Pv1OvBN4uoU2cIrblPd5GgiAgQgX4SoO5EYOAJkME9g8+BtVTHiM2SM7hLErBPgXFL7YbWYShTbGH3Mi3MGP+pawXczICYQXW7id7GVoVWzdetvLeCn7yr8WMCf92+Npc4xHTsk6djmGdpN1HLKrZEzXnPYdT5J6NymxnhULHZmnCOj9p11K0nxG7xkjXHxKnJ76KlgTa81rEw/Py3s+fk4tINUShbsFp1YZa3IecnaGULOOwlnlU9rWw5wttl4cd83/NwcIP6DTcgZFAfuc82hkG9qjSr+iUazOy0g78PouvNXXy9R9dlOu1vB7xZOjQ1ZNjgc+J+Lfk1qVBv+NTnbbUolzJaWXCHO6uQQgYVlqYHESACRIAIxCHgYh/4rFh3OFmc3YfvsHMQ2NwwBqZz5MDWuwtxcl01lLl/iHTXKPT/Ifp/RriNs9hIdrYa1/7G1J8IZJgAN1BLLY1iFP6+0kZEfhv5jroA6lobibq16j7EvDteFumBiJR5f4aH5QsActTGCMnrgfWhK2H+/A3RRi8ogufcOxF6P4tCFvn3OgbeM26Cf6eDWC6/Huo6m4K7vQlprU1ZRySlzjZwf/UiQxERIAJEgAjkNQEyuOfI08d9s4+N2gG8hW0EhivGrtbFzOBaKJuxtqU8q9ry3fZbMqN7qoO2qj4sZ1Y6bgyO7rvq3W8hX3Yc+CGmvNwjObBgjUOxcMdLxQ7j5pvexrDrrkbx5BG8mgIjENA1PNk2F2taymCG8Xblh+eyKvEok6340LVMpCmKJaCwVSx+1whnGFuT+znfjFi3Mubigowq3ZNwTxPQvrynFmmsi9rhrrjakhYcs8O9MtqHe2SRTmoM7mBMWio1JAJEgAgMHQJ8l2lottl2KRMaNxPXwOa7hMUq338cTkcnpGZj44JWWhFdLNJ6YYm4yuRSRnCgKLcJKD9/BtPvXwslA2wBS93kPyIdHflOuBI1lsmiaJNlT+DzR+eIdDYjqbkect3KmCGV7z8K583P3wnlrx9FXhs1AZ5LHkTIIC0KoyK+gKBNXDOqJD+T2pR1w4rLCzPv1jU8GCWIABEYkgRo0tkhYFjwsjPWkBuF2UrBQ38nvoF1GPZzToIJ2d4jHKu5u6Ed7sbejWAqdJQoFswM7rxunVuNxosvxuSPrkVRwPhRs2TEjmi//EmMOusYjNxve7HD2FoycEbF2JnmTq5N9+G4wjUxnRncufG4q2YWScEokxNL/L0/L137ZivP3SE92z43W8PFjHNRyQaIxy2mUQ5mKnbaNKwVX5gKZwYgIZskdLlRIGNa6PbIZ4DJnfxuQqlhtdApdEiqyLCI33LMLuIhRR2KJwooIgJEgAgQgQgBd2c4rWfx0NTwoBlKcIN5YKNthXTT7F/FtWvEjX+8TI/2384LeCgo4jFSuutK9KCoDwSoSz8I8LNqLG88KiRow8fAf9AZIt01mrOsAC8UXRYu3uqvm/D6S95wPhuJ6LtNQr7LTd9/KIY2/fY1TL/9T6S5Wyjv+XdDL4+4CBQVgzDSRoyFXmTcbSuTH/dB+AzTlIgAERiKBOShOOlszbl1oQQeehuPO515qX1+b80GpH55oB1LmTG3adYiKNeehvLL90PzRRei+vE30b4scshUSLnGmYuw4Rv/YPKjH+Cvd19By4XnoeqeYzCm9XfRpNEyGksPuwvDr7oIBSOzu2NfKJBnUZlswzhzYY9a71kwHgWyucc2A1nZonlhz2H9BpJNorGtxU4sL98UHeYKtI5YJ1GzrJTzl5/N+P6flfE8NsNXvsWb/CKS1GC4lOkoGInvf5Txy28yZv4l4d85MnwlxiGqckNtH/WnbkSACBCBIUAg6E5GzNRWIC6DJVKnb2ZMxd0BZdFsIx0VS62G+42ui7a8iVYYdCnTkfwiMO9HgQhkm4D545cROmvAv/ex0K22uCrM+kfCavN4fFh6iqgvU2uwxq8P4LU3FJHPRqTMMdzJ6MVl8O9xpBhSam2C6at3YHnxbpHni2X8sOR0nekghOZ4pE1aW2iozKeDUwUIiogAESACA0IgfYOSwT19LLtJ0vxAMnbGFcyo7YXarX8uFLSzSXzx47eofPgslPiNgwlHtf2Jqb8/hLJbjmbG9/NFaLngbCin7okxj5yMqT/ei43nv4vj/vwelZ2RW+IWrH0k7Pc8hcqtpufC1AaNDtzFTKUSe8hXLk2uTfOhSDIPiEr8bgtd50taAzJ8vwatuP56yPe+hMIrr++XnP52thTpKByfXoarvpGheqS4qgWsxm5Cm9oKvy9uk26Fcp1hcK/2jcQnn8l4/0MZb76t4OXXZKxwGX7cpZa6bv2ogAgQASJABAwCkqvTSLBYtxsuDVlyUDy0NTYIz0Oe/Us4zROhO6R4Wo/nUsZpuJThu4d5GwpEYMAI9DCw1FQH0ycviRba5OlQ199KpLtGHi8we7bx/atp0wPgnzRDNNnE/RH0377D0mVGnSjMYCTPNwzu6tT1oG60PVscMH7HWF65H2ALY3xo36FnQQ+docALhkBQpxjPh9TWDLl2xRCYMU2RCBABIjC4CZDBPYPPL3fDoFh7H2BloBOjFGfvDQeghfexV2Fa8BEsYN/Q2PgLxu2JVpNhwDLrPoxqmyXCyI7ZsOoecLNci9XCWgIOTxlWlWyMBVP2R81ZT2HU6UeI8qEadbDFC5ceADdAdz3MMx6T2b4m/OLt+67cXPFdvqltBHa2j4k3xYyXvdg+H0vYglbGB6IBUiIwchsNq76TmNG9ezfVYewmLNBa0elO4oefzwuprUkIWqWOFNfoqFkxzoSQGvv+XoqWR+lYApQjAkRgcBCQPBGDOwbZDne+i1YbO0U8UUoXtzJSS4Mo55FeGjn3g+dFiDL4RbcVdRQRgRwhYH7jkbAmvv1PDqe7JubMiXyvWm9dDYHjLoJmNRbYDmy9Db984+naJe15uWYp+G52LlhbY33oNjvUzXbi2XAIbLQd1PXiLxqEGw3ChDo1yo/7gsimtUE4VZoSESACRGBIEBiMBveceeLK19VRMJKboHtWaZqlBFvZDbcHPbfMXq27vhXcdcxm/76J6XUtaFMqsOK4BzDq4jNhvu8FLD30TixY83BwA/yS4dthRfFGWDxyF/y61Wm4+4Tz4HroM9jveRIVN9yAUeeehOI1RmdP+Rwcyc0M7Q+2/Q2HZIJDNuPullmY52vpUdMfPDUYneRCzE+e1ZgV9JnPhXKf6Xe2zES96ubZAQ0SG12SeMwSWX7YJAXJLG5kWa28Go6tE6GzJn0qq16AyxyzowbVx+R2+YjUg7fvO5nB3dXZpZI17/qIPjB1VcAwuG+8oYadmXzetkUxDChSUx3PUiACRIAIEIF4BGJ8uPfsyi5e91wvU9feWKgoL18QNvbxAqm5ll9E0EuHi2t0FLPDlg5OjUZD6RwhoCz+F6Y/vhHaBDbeAdq4aSIdL5r1t/HT3+kEJk7QwReZAvueIJo69Ha45i5AY2Nmv7PLc2eK8XikrrEBvyCw9R7iyiPux9x38Jk8mUoYFG31UROhB88zIrcyg+IppUkQASIwxAkY/3WHOISBnj73021nhths6tEyZ0XCA1Cbfp8P0zWngLuOMWk6pjSWwnfpAyjfaGpYxcqt18GoM48CN8APv/oylN98E0ZccT4KDtwBI8aOEu0C0PFI22yRHurR564V+I/dWHQwQcJFpRtgrr8J8/wtcdE0qh74dA0jTcn5Ua1i7Wb6Iru0dnWMw3ml66NWdcWVP1QK+fvKD22oTDcj89QCQPO/6ftX0fi3BHfwpWopYip3/V0X3E3o0NrgSmKHu9QQWQ1oNBkG96lTdIwbYxjrQzvc2UgIHYzH0xSIQOYJ0AhEIH8IRLtM0R3JfffIn9kB6lqGwZ3rLM/5jV9EkJsi5xHpw+Jsfgn+T+KN5Y4WfqFABAacgFRfA9N3H8L65M2wPHptWJ/APseF010Tre0SFi8xvnStOz3y3Vhda6Nw03H+OfjxF6NNuDDNidCBqfz9Fjo3QRs1Ad6zboHvkDPhPf4KoGDwLfoli1GbYuxylxdEFiaS7UvtiAARIAJEILcIpM+KklvzygltuKGK2ZxzQpeQEqve+B+4v/WR9x6L8sv3g+/Mw1F35TWovu9ZVN//HFbe+RhGP34ailXjB8jiqp1RdPt9cIwsC4no8epjxs2RJuPWRG5YtkDGikBHj30GeyXf3T7S5MSGVsMVT2i+exdMxDhT5Avlb57IDtwSxYqTi5L3dc/l8N3sHu7HiA0wTLFDYYb96ZZylhvYx10tM9Gu8a3M2ddjj4LxWDcHGGR/5ukbUTYB4rMsTSI1nwT28kbojxvfo93sK0XcCg8Uaw1wJbFexH90hmQ1KIbBvZK91RyGO1C0yMNC1czgHrT0h0soQQSIABEgAoKAK+q7WoHxOSzKB0nE/VqHDl9Uovy4hxZi+a7aeFMN3XXF66R2OjiVc6AwsAS4wdp+5ZGwvHAXlF+/gBQ89DewyyHQytgXoATq/fO3FK6ZsW7E4K5XjAA/oJRXjvXNxR8zZbgyeIOsPG8WHwrqNGN3u8iwiO92D2yzJ7Qp67Dc0H2EDO5SSyOkhtXpAUFSiAARIAJEYEAIkME9g9hXfiVD9fY8wAJ/Cz5xLe+5URpqV77yGbTTDsDkz28E97ceElnir8X4+u8w9d/nMHX2s5iy4NVQFeZveBJGXHkBuC/x1UnulJ5mLsGOUf66J5mLscg/tH+g8F3WG1ojRr8wYJbgLk/YRTy4f/drm37Fj57VwliupOiG5aziGYiWJ4QGo6fa5iBkjA8WZeWisRWnTj2AQtmSlfH6M8jDrf/g1374zO/P2Lncl998U1Bl7BZPh56yWYfJFpHU9I+MQJTrYKUkYujxtvT+i09uWCWE+dmilkcuhNkMlJbosDsMnZuViIsAuZF+uAhYFBGBHCBAKuQWASnoUkYP+nPOLe3So4225gZCkGn27+LKo7DBvST+9zQtaoc7Ott4FwpEYEAJmN96PDK+2QJt/Brwb7MH/P89OFIeJzUz6E5mWIWOKuN4m3ArbcKaIj3OPxsBP/D7H5kxEchL50LyGrsptGnrizEpiiWgBne481Ll9//xCwUiQASIABHIUwKZ+W+apzDSrbbmA3qzMy72t6FEtqZ76G7yRn7zCJxaiyivtU/B/LWPZOEILKvYEm2mClHeoZSi0ToGq5xrYfG+N2H08fuL8jrVDb4wIDIpRlvbR2JLW5xbdFOUk6XmAzrMNozVlWWtcYhmAAAQAElEQVQbgxvo+6KIWUr8dpaYwNqA8QWXJbP2aFV9KOntTZBBbTRdBzf69zbEMn87NrJWooXp21vboVbP1334eRTpmnflxszgbtwEI0QqVp0tTEoizaNog3ugNYnFuqARvdlq7G4fPswwtDuCY7REGdylFuPOHT4OBSJABIgAEYgQkNzGDvfB6E4mNEs15FaGzVVZZLg8DBvcE+0MjtrtL3Uk8T8pNBhdiUAGCJh++xr8HAIu2nfgaXDd+wE8F90H/yFnQbcFv/jwyqjwz78y7rxHQW2tUThjXeN7kpEzYnWiYXAv0hpREqjDTz9HvpcZLdITy3P/DAtSp80IpykRIaCNmwpt5HhRYP7sdUS7+xKFFKWbAMkjAkSACGSMQGILXcaGHBqCdQ2QzUAPNlDwv2bNi9GmAp7MWKh+7QsUaMaPhEW7XY3COx/E6NOPYOFIDLvuapjue0kccirf/yrsdz+JktvuwYidIv78StmCQHNvW/WD2rexVYboQyolVt6TIZhVD+rHh65lmO83FjqSneh6VmMBJNn2ybTjLmYaNHcyTdPaplSx4vTiddMqMxVhf/ka8X7n0l67jDMXYiNbJXZyjOm1LTVILwG7uPs56sefM7LDXU/C4C7XGTvca6WRQjHuTkYkWGS3AT7ZBp/ZkCk1Bn9tsjp6EAEiQARyl8AAaBZyKeNwDsDg2RlSXTvKj/vsX8WgEYN7/B3uvFHI3QbaU/s+x/tSIALpJGB+5wkhTi8fjsD2+4h0oqiDraE9+YyCV1+X0dLKf5EBa66hYaMN2I/ULp1CO9x58Rj/XLR3SLjyWhO+u/VzNN50G3wP38Gr+h1MX78rZGhjJofd2IgCimIIBHY9TOSlzjaYvn1fpCkiAkSACBCB/CNABvcMPWfc0D5mJ+MLDd8dPtfX3G0kXdexb8FEjDJl9sdN4U/viLEbLaNRteeWIp1KxN3CTDaXJNXl5Y4FaOpinPfpKlQ216QEDLJGv3vqMCVJdpmc+o7MkLyWJTk//An1yMMKq6TAowcSas793lcH2C+ShC2oghPorJGgJcbImyQV+MeArz22afEkHbaoowb0guJwA72jLZxOlJBrV4iqOj1ocA/ucOeFdrthyO9giyk8LzXV8QsFIkAEiAAR6EJAChrcdXtmN4F0GTarWb10GLQqY+eo6Zv3YLvrPIR2reslFQl10Z3Gd2C5oyVhG6ogApkmwF+zUkONGMa3x5Himijq7ASeelbB0mWGob20VMcRh6o45EANoTsAo/tq440d7rxsqvwvv4iwzdL7MGb5pyiZ9TFM/3tblPU1Mn/yMuQW4yydwI4H9FXMkOgX2Gg7aJWjxVxNn74KyesRaYqIQNYJ0IBEgAj0iwAZ3PuFL7nOwxUHPo7jp12SJFiYQTA5KX1r1fj7AlS55ojOjevtJa6pRoWyGWtZSpPq1qb6UMTaRzeezRYbPnT1vss4us9gSPOd7WszI7fxVXdgZ2Rlr7O+uqrpj+Z8oUWFYfTsj5y+9nXIpoSLPVyvJ9rnYHTUgleT6mEGerWvww3afq0LgICr/69kvrZR34tfUD3KX67UadyZkwisvNj4bOP1DSbjh8mwGIM7rwHazGIbPUI7GY1SiokAESACRCBEIORSBnZnqChnr/1RTF1rI9Gd7xyV5/8l0jzSS4fzS/wQ/L/E+8RvQKVEIMMEfF6YP3hODKKNGAt1s51FOl7kcgPPPG9CfYPxvW3zTTWcc4aKKZN7+D5usUIbPUmI27hsDg4/RMUB476GTXeJMh6Z334MUr1h8Of5VILU3gLTRy+JLtxlSmCTHUSaosQEAv89RFTyRUHa5S5QUEQEiAARyDsCct5pnC8Ks+80oR2hRbIFVSYH5vljd8ZwNy3cx3Qmp+T92LgNzS9ZMOz/dsrkUMJXdpFiQUEXg/skcxEW+dsyOnYuCp9qLsG+TuPLay7qlw2dPnItw0zPwPnNHmcqxCGFU+NOtV3zwc4WIqIr//E14SdPnw7WjBaT8TRfyPje07cfPX1RTjZJ0APsQ60vnaP6sPU4sI+IqBJA9UjwtRk/CkWF03D/wtNKLzvcze8/w5vBby3CX7ZtRTrGpYxdFCHkx11qrjMKKCYCRIAIEIFYAsFDUzGIXcrwCWvrbwVt6rrdglqV2KWcXhj8v9Q+9L7LcmYUBpYA9+Ftefk+SG3NQhH/nkeLa7zI4wGeesaE1UEPepturGHXXbR4TbuVqcGDU5Xl8zB1io6NfF+INj72G5InJJ8P1udu48mUA18sCB2W6tv/lJT7D8UOgc13hl5mbBgxffYqwBZdhiIHmjMRyGECpBoR6JUAGdx7RdS3Bi5m1/n25xYsDhqa9yuYhDEmZ1jYYn8rPnAthSxJ4bJ0J9wN7Zhc/aEQu2zMzrCWRMYXhSlE37pXgftn76mLDAknFq3drQlfcBjJFhz47uFulVSQNQIPtv4NVw/uVTKhSKvmRXFXC2smBuqDTAUydraPjek52uxEPriYqdfcWOhrxecuw51KzCQykHFU6ZDM/RfMz7awlugxgriLmeY5kaLoQ7/M3thFykgrQJ4/C8qc30XRv+MPgFd2wGYFiosi8h1Bg3uTbPxgkTrbIXncrO9fsF13ArvOEv0pIgJEgAgMdQJDwaUMf47VSWvDc84d3YI+aiKvjhu0oKszKS9cysSdAhXmKQHTr/+D7apjYPrxEzED7vtc3WBrkY4XvfeBglr2G5TXcV/tu++q8WRSQQ8a3CVm2JUX/A3lj29Fv5m2HfCTfXeR5uWmrwxXpaIgiUhevQIh3+3qeltCmzw9iV7UhBPw7xLc5c4WW0zffsCLKBABIkAEiEAeEZDzSNe8UvXfzmb4TAFMNBcJvU2SDIdkEmkezfI1YkYGDsfkskOh8e3PQknYdtsjnO5LYrXqwspAZ1+6ij4HOqegTLGJ9FCIPLqK5i6+7Ad63k7ZgtqAK6tqcA6l8sA97/ycBH6GQLxJF8pmrGkpjakarRTAKkfepzGVOZQZoThwVNEaGMEWsrKhVtEEHZbCfowU7GofBpSuGTGI82LFCnR9q7jthi9dxd3Om8QN5nefEuX8MLsfC/9PpCsrY2XbHUa+Xo+4CrA8c4vw2yuvWsqu58P021eiL0VEgAgQgaFMQOpoFdPXHWn4sBeSBlFUVCImw91iiARFRCDDBOR5f8L6yDWwPHkjpLYmMZo2ZhK8R10g0vEivx+YO18SVRPG69hrj+SN7bxT9MGp5rcf50UicIP7u0WnwV9sfJcyv/UolH9+EXW9RfLSeTA/G9kV7/u/E3rrQvVRBALb7AG92DjoyPzpy7TLPYoNJYkAEchxAqSeIJATBnduFBPaDJKIm3iqfZ3YoMsBTNz46GaGWF7PXUKsYzH+gaZr2ivf/AoNl12G5ovOF2HMn88L0auc01E2o3+uTUplK5o1r5DHI7cewMWNPyLaJQ4va4lqw9sN1fChaxlWqh05Nf1hbMGjQfNkXKffvXVY4Dd2Jh9XtBbK2bgZHzTBACp03N4yM0Ft92J+psIBBZO6V+RoyfQ0f4YMxDRNzChuKTZ+IIbGV61FIlmgt8a9g1aZ/QuURbNFm8BOB6C60Tjkb3iU/3ZeWRDc4V4XMH4k8jJl5vf8Eg6WJ26A+bPXwnlKEAEiQASGGgEp+kA+m2OoTb/X+erBHe68YWhhgqcp5B+BXNfY9PkbsF11NGx3Xwhl5neGumwRzHfIWfBc+jB6uhNj/kIZ3OjOO224fmrGdt5HGzEGeoGx4KYs/pcXQbMXYb5tY/hkO+b/5xJRJnHXMg9cBuWvH0U+XiQv/Ae2O86B7ZbToSwxbmMMbLc39MpR8ZpTWQ8E/LseKmolvsv9uw9FmiIiQASIABHIDwJZN7j7Ayo+/OJn3PHwqzj+/Nuw8a4nY/r2x+Dw02/ADfc8h9ff/xodne78oJdAS2462meN0SifFtvAIsm4o+VP8Pr9nekx6rlWNWHlPU9BO+0ATPnsBoxt+gWj2maJYNeM3aGuzfp2WGq09utbh2GsyRku+o0ZVTezjYAXkS90M70N+NVTF27TNbHIb+ye6lo+GPNzfE1Y01yWU1PbxTEW61uMncOZUuw7Tw1+Zq+B1VneSZ9oPvzOEp0Z3bnhvWubWez1mg/uY7rqzfPLA+3o1P08KcJs9npb5jfe76IgzZGnCeCuX/orNsA+2tXIup0Qx28oqJgR+RzhhWpB0OCutcLl5p+YvDQSzO8+LTJ6USmaN9wH3GcpL4j2387z9qDBvckUMbjz8sBWu8F37KXQrYZhyfzmozC//givGohAYxIBIkAEBpZAyH8700K3BT84WZoeQQLBQ1N5TuokP+6cA4X0E7C8+gAsbzwMuW6lIZwZ2gM77Av3NU+B73Q2ChPHc+ZEvi+tMZVv70rcNlGNNn7NmCr/htuE86uc68B7yrXhvPWhK2H+7FWYPnoRlmdvg/X2s2E/fz84TtlJGNu50T3UOLDV7vDtldj3fKgdXbsTCGy7F/SSclFh/vQVcaWICBABIkAE8oNAAoN7ZpSf9e8iHHjiVbjguocwc/ZCbLDOVFx65mG4+dITse3mM1Db0Iyrbn8Kux52IT7/1vDNmxlNBkaqzEzt3OD5OzNWp0ODla98hoIbjseUuS/CqbUIkX7JguWlm2Dx8O2xYNyeWLDm4Ri53/airj8R36U8OsrgPs1cij0c42CXlLBY7uOdu+kIF3RJ/OSpxVAwuq8KdGJ7+ygoGfTP3wVtUln++jOxRZ+kGvex0ThTIY4snIat7SP7KCH93QplC7y62k3wLF8DAswY37WiSfOAP4ddy3Mp/1bnYvi5Q/SgUvwOlE9cy4O59F/ctRLcdZEfcn0doZn9GPQ09i5HKygWQxSoreh0iWQ44juq5OULRN6/y8FY3WwVaR4N6+JSxmbXeTHaFeOHil45Ep5z74TvsHMQ2Hh7eM6/E9wlDW9k/uJ1yPNm8iQFIkAEiMCQIiBFu++yGztchxSAXiarRx3mjfbWXlpTNRFInYDyyxcw/e9t0VGduBa8p90A1x1vwnfAKdCjFnxEgwTR3HnG96u11tBgiXw1StA6XjGgTVgjpkJn35VCmxda2UtfXXdzeM+8GbrFItqZ33wMlnefgunHT8Wdh10XpAKb7gT3dc+y711nA/bIxi3RmaKkCfh3PVy0lVobYUrRh77oSBERIAJEgAgMCAE5W6M+9sL7OPTU6zBlwmh8/OKteO6+S3HqUXvj/3bdGnvuvAVOOGwP3HvdmfjunftE2VlX3IcLr3s4req1tneirsEwTKcimBv/6xuT77fQ34p2vx9R9rDwcNswQyw3TIcL+pCo+342Gi6+BFO+uhWhXex818HCbc+D65bXUXHjDRhx9aUYdfGZGHXmUX0YofculYodXY23JsgYYSpI2Jn7s18cGPw7g0YyBlvYqhJyGMwV/GBgp2zOqSmeWbxuzPkJIeVaNB+K2QJV6Nsa4AAAEABJREFUKB+6urUAPsqg8To0Tl+vAfbB0sl0LJEjv6b4a46t52G12sU63ddBuvST2LpanDWLLq16z2o+CbLFMIIj6s/TIEGLbNiHXFgsarlLGVeXKSnfGYdG8d3pfOdXXZ3xA5N36OpSJnRoKq+r2+kUuK95BtqUdXhWBH30JHguvA968Meshf1wFBUU5Q4B0oQIEIGME5BcneExdEfi73HhRkMsoTkNH+5w0GLEEHvqszJdecVCWJ+/U4zFNwH4TrgS6vRNkMrfvPkyfMHvUdPX6v49K1lZWvDgVN5eLymHNnVdFBXxHNAa/AmnrrkhWxC4EbrVZlQEY96e1/n/sz98h58rvnP5jr4QesXQ/E0UxJKWC7/DQS+rFLJMn7wsrhQRASJABIhA7hPImsF9zoJluOua03HrFSdjzEjjH0Y8PKXFhTj3pAPxyiNXYfHymnhNUi5raGrFbodfhC32PA3b73829jrqUrz36Q9hOV98+wfW3u7obsEb/OZyyY2PYf7i6nD7eIm2xbVY+eJHaFi4Cq91LIR7phXuhtiW/jYX2t//GVMf+kD4Wnefday47U4+dW/4zjwC7eedhrbzToeXGcml0/YVda3nnYmVtz0sZK+65X74Tz8U458/G2NbfxPC3XIhFmx3IUpuuxMjD/4vzIV2UZ6J6O3Oxd3EPtk2By49IMr/4xiN8abEP0a4v2kzM8qLxhQNCIG7WmaiPdqyOSBa5Mag29pHopSf2NlFnVEmJ1YGOrqU5k62k73fNrPFukjh2h3inAJrht5f1jIdlsRvbT58UkG26jA7IgbyUKe2JYC3KVIuFxu/7gq1ZtSsjpRLLY0w/f2z6KZubNy5U8eM9bzA4QAKutiJeBmv42HVOvvxS7egV4yA/7+Gf0x5+Xwov3/drQ0VEAEiQAQGNQFX5H+e7nAO6qn2ZXJ6efB3i6sd8rL5fRFBfYhAfAKd7bA+cjXg94l67/FXhN2HiIIko3/+Nb4rmUzA1D66k+FDqeOnQRszGdzwH9hoO16E4iJNXNvajDF4Rps6A96zbgW/Y9B7wT1w3/UO3De9DL773b//SQhsuSv0yty525Xr3N8w0P39ux4mVJBbGmD65n2RpogIEAEiQARym4CcLfWuPOco7LztRkkPN33aBDx++wVJt++poabp2Oe/W+GL1+7ET+8/iP9uvwmuvetZuD3GlxsdOhx2Gz58/paYYDGzby09CQ7W1X7zF4rvOAVTvr0Tnc+ciXGvvIzmd79Aw5PPo/aaW9B48SVovuhCFF+0NyZ/dA2mLHhd+Fov960QEmy6CyX+1Rjumo8Rrnko9a8K71yvcs3BlMVvCNmTl76DYrVe9OHRksrt0Hn5Exh10E48m/FQzYyQ9aobNzQbxn4+IHdlsdDXwpO9Bu5uZjv7qF7b5XMDfjDuH97Ic5Rrc6lUHKhLsAuau1E5pf6rPqvM7+z4wbO6z/0z1dGna9DYe7yr/Bk9+LPni0fNXZ2NdxUwQPli2YId7KO7jV7IykszdECtvQJwVOndxky1YNj6OvghqV37cbUD3kiptbwonPG3tIfTyk+fhtOBLXYR6bo6ccHwLu5keGnoNmiedrl5HD8E/rMvtOAh15a3n4jfiEqJQO4RII2IQHoIeDoicmxdVi4jNUM3xXe2242FCLlh1dDlQDPvNwGpgX1PvuJY+I/cTmyscpy/L6TGWiHXv99J0KauK9KpRvOC7mSmTdNhsaTaO6o9e617Ln0I7ltfg3+/k0VFUfArWWuUwZ1X8N3wga12A3eBo9scvIhCBglw1nyTCB/C8tI9xuvnlJ3EVa5ZxospEAEiQASIQI4RyJrBvaTY+KIaPX+X2wufL3j/W3RFMB2vT7AqpUtlRQlOPHxPjBhWhkKnA3vtsiVcbg/mLFgalmOzmjFu9PCYIEmRlfxQw8bmNpx4we14+tWPRVH1cx9gwkvnhQ3kvHCXJQswvOUPTFz2Fias/hxjWn/DqLY/eVU4NJtHYmXRjF7Dase0cB+e4Pn5Uw/C0sPuwvBrLoOjqpQXZyWUyTZwg+p6UYbKCeYiLA0YBrEVzCAPZEWVnB2E+6hf7G/LWf2qTA40qp64+i0NtOE/9jHQ9L4ZVuf4mmJ8+scdZAAK33EtwVxfc0ojb2mrQrzd7ykJocZJE7BV6FDMkeZ6YfDXHSty1UXeT+YfPmIlgFY1DvyHHs/U1huf05WV3V+3DkekzO022vE+8UJgr2NEsdRQQ/4xBQmKiAARGCoEpBiXMt2/rw8VDj3NUxtWZVQ3MoOpkaKYCKREQJ4/C/abTgVWRn5/hgSoG2wN/477h7IpXRcslOAJblrojzuZRIMGbzpER9S6XKK2VJ5ZAv7dDo87gPnFu+OWZ6+QRiICRIAIEIF4BLJmcA8NzneV3/nIq9j/hKuw8a4nYf2dT8Cx59yCl97+ItQk49dfZ84VY4wfE/zyzHJNLe249KbHcM2dz+CDL35CQFVZaeyD+4A//rxb4Syw4/D9dhKVU38w/sG55QIs2OkSKJOOgG5aGxWB/0GVVbSYq1Brn4KlldtgwXYXoOGKV+B66DNY730Gpbfc3msouuN+0X7FcQ+g6YY3wfOjzzkelVtNF+NnM9rBMRodmg+bRLmzWM9agd0c48D90r/RsbBXdVYwo/zyoIG+18Z52KBG7cRIZtTOVdX5zujo5y9aT+53fn/nJMhSz4bJ6D7R6eXsuR1rToPfkWihaUgXS2b4uzggX+Zvx+/eujRIz76IpWxBp1nzxh2YL/a83LEgbl1/CgNuwN1fXMz27U1wM0wB+yiO2UFfYPhw5zp7GgyDO/+hKtXX8CIEtthVXH/5VQ7dhY3KYaIoJrJF3Nyjpx3uvFNg852ZIX88T8L84fOQPC6RpogIEIE8JUBqJ0/AHeXDvag0+X5DqKUW9EMt19EO9yH0tKdtqqav34XtrvMBl7FJSdnjMPgOOh3eYy+G99Tr4Tui73d1z54jCz0tZmDqZE2k0xkVF7MvcEGBzS19+40Q7E6XfhIIbL6LcNvjO/ZS+A45C+qmOwqJysJ/YPrxE5HOxUhqaYS0cjHkBX9DWrEIUnN9r2pKHa2QaquhL/wXWNV9kapXAdSACBABIpADBIz/0FlSpL3DhVMuvhNPvPQhSoqd4qDUYw7eFf6Aiuvvfg7X3fUsVDX9XxSip7dgSTVuvPcFnHLk3igrMYyDw4eVgesxYSyz+rDG/LDWW+5/kaUij06XB6ddcjfGjKrELZefDJOiiMp2pRxNltGQLn0UGx6/GzY69yBMf+gOVLzyOYa/9DHGPv8qpjz9JNa97wZseMpemDh9JEaU2VIOa++8LsZPHpZyv76MlajPeozTeeNmYJ1hpTF6jC53wFokYXRhQUx5PDncHrvA1Nxru3h9Uy3jT9CI0tRZpzpOdPs1S0uwfWXi5zi6bbbTVex1l6kwvNSKM8dMx/SKEmRqjL7KnVFeBp9DjdGrze6BpUCKKYuWX1xiwnJra8L66LbZTv8irYaV6T6y3I6uYasRw9Fp8aGgROlW17VtdH44e58ospSwT5nFxr70WhPWR8tKlK6w2eGdZ0lKRgX7nOXvXx7sTctEn6LfP+dZEYbtugdaGmx4/yPjX1hFGbDz1vH1cxaILpA1k5CTSD9eXnjEyaKx1N6Csr+/6rU970Oh++twsDMpK7TAZkntPTbYmdD88vt9UCT5xWcfzJY+fe4NK7bBYpb71DdfXjsFY8YIRnLtikE9z1x8Pvhnbia+a5V98zrKfvkA5f98hYpFv6Ji4c8o++w5FD18GQou3B/FT1yD4a6amO+Cw1bPZW2eR+kHj6P0rQdR8spdKH7uZhQ/ea3oV/zcTRiBjpg+JW/cB8vL94nXj1RYDOd1D8PJvm8M2/cgVO6yOyq33RYjRpbG9El2vuWFNvzxp2EEX28dGWOH2/okp6fxxo+M+Kgx6Za0y+9p7Hyry8Zvu2FbbomKXXZFxT77o/TcqyBXVonXlvXtxzHc4kdCHQqA4VorhrWtQMWqf1E+7weU//4xSr96FWXfvYnymZ+jnL0Phlt7kMF+SyaSX+lvQtnP76P48atRePMpKLjsUDjO2kO4vLFfcjDs158E253nwn7jybBfyuqC7nAcCa72C/aH/epjELj2VODyY+E4d2/xHit59xEUPXIFnNeyMt73zN1RcP6+bLxD4LzmaBTedDIK7zgLRfdfhKJHr0DxMzeg+KXbUfzG/Sh57zGUfsbev/97GWU/vI3y3z5G+V//M1gs+R3DOlbG8BNg0xCRCCJABIYuATmbU7/rsdfx68y5ePCmc4R/9rNP2B/nn3wQnrvvUlx+9hF4+Z0v8eZH32RMpZWrG3DShXdgh63WxylH7R0eZ501Jgg9TjhsD1x17lG47sJj8eJbX8Tscr/s5sfx5z8LRDuzyTC2cwGtR18L6er7oDMD0W91Dfh89UqsbvBgVY0HtU1DI1Q3urCy2Y1KX0Gvc9baJSxpa++1XTrY8edndXN2n4PRnkL42vSszC9VRjXs9cjD4sYO8Gt0WNrYifkN7Xh91RJ8U7u6W31023jp2mYv1DYp5X7xZKW7bLjbiY3VETG6LWntgOpKrG9rSwDPr16IFey1nW59+itvSUcHZJeCVY3uuGE9vRLf1q2OW5eoTy17n6ianrBPfbsXza2+hPWJ5EaXr1ztRmcgEFdG9WoPFs31hOvqVBt/+4pwYOttWHHHbfB987HIq+tvhb9qbHjg8YDI8+jAAwJodsXnYbXpvAnqW9Sw/Gi9otP1EzaEXsys96xH+6w/em0f3ZfS8fkPRi5N7T54fL2/ngbj3GlOg+Z1HvP51t7UzD71AN3ujClP9vmub/XA59f61DfZMQa6XXtB5DaqmoXLB/VcB5p11/H5Z25/vzt17V87ZwE8Lz0Cz1N3w/3ADXDdfilcd1wOz5vPIjDrF+jtrfD/9h3azzsSjXddh/q3X0PzuUei85ozWJtn4H3/FXg/fQu+rz6E/4cv4P/1W9HP/8OXaD33cNR99B5WL1uN5stOge/zd8H/tJHj4broAXSMmgqXV435XtpVv2TzH37h46JFmDQlkBaZXccOSJExFlf7MjJG1zHzNZ/qb7N0tHfvd4p4/vW2FjQ/dT/qVjWh4cN30XzdeWhhr9nWE/dB20Fbo+3IndB+2v7ovOhYuK47C+67r4L78TvgfeUxeF54CO5HboGbvQ/aj93NaM/7xAmtR+2C1hP2QutpB6CF2W9aLjgOrWccjI4zD4Ln6Xvg//17qMsWQm+qB3xeoVtaIrdLvMd8H72OwMyfoNWsMMT6fdA729l4DdCYHUZdvgjqwn8RmP0HAn/+BP9PX8H/zSfwf/4OfB++Cu+b7P376hPwPPcA3E/cAfdDNxosbr0YbS89GfMb3hiAYiJABIhA3wlkzeDu8/nxCjOon3bM/2HbzWd00/iQff6D/2y9AV5/7+tudekoWLhkJYk62EMAABAASURBVA4++Rpsvem6uOHi46Eoiac+rLxUDBkIqOLKoz133gLbbDYDJ190J1qYsY6X8VC20VRYS53iSMYfvbWQIaGdff43zZNEGTf1DPawONCGXzy12MY+stc5Vyp2rGEp67VdOpjx54eHdMgaDDI4Cx4ea/sXXQ8E/di1HIsDrfDrGmoCLt5sAEL2hpxhrcAUU3GPA44wObBazS0WXl3FxtZK2KTIol/XSWxoHYYNLBHDQNf6vuRNdh32yr70jO4jwVbO30nRZUZaC+ho/FsyMizWyypRs9PpLGU8Cn9+x0iw2LXRLnj+RRne4O+//fdVMWI4q0jwsNuNiigXxUZBglibtLao4bfnigRFRIAIEIFBTkAKfkDqDucgn2nfpxc6rJBLCB1yydMU8pOAPOePhIprYyZDGz8tXG/66VNYXroX8sol4bKeEpK7E9anb4XtiiMgL/xHNFXX3hjeC+6BXt7DFxbRMvmIH7n0w0/Gd6eiQh1rTNWS75xCy2ImO9S8tdUYL5SnaywB/i0320Fdd3Ooa28iFDF99yFs5+wNyzO3QfnnF/GalVobRV26Iu5yUWprhtSwGnLNUsjL50OqWxkWr1sdUNfaCOom/0Fgh33h3/2IfgVln6OAvY4Ed5/Dz3DSLRZoYyaJA4b5IcMJw+Tp0MZOgTZiLPjvCr2wBLo1+KMgrG1sQrfYYmwUsbWUywwBkkoEBjcBOVvTa2xpF0Ntv8V64hov2mW7TfDPvOS+zMTrn6hs3qIV2PuYy7D5hmvj+EN3R219M/hu9+ZWQye+m/33v+bD7fFhdX0THn3+PWy6/pqwWS1hkf/ZagPccdWpKC5y4pRL7oLL3X3FdrGvFZPMxQi4JJgLwl0HfWIimzM31iYzUZMkYytbVTJN867NykAn/val90tNJiCsaSnFQmZcj5a9wNeCycwAXSiZwf3xR9clk36tYyFWBDqSaTogbVo1H3zMWB0afJypEAWyOZSNe93OPgoKW0KLWzlAhVZmaOd++LM9vGIFSqbynxB9H9laqqN0jfgyuHy1y0eqaZe9cUfF46gzjQ0Pynef/+zdAs1BH6KbbqJh3enxZYY6FdiNercnuR+J2oS1RFf+A0VqqhNpiogAESACg5kANxDy+emOIfTllU84UYhTrg0bGS6V6yPGpXAhJfKKgDLnd6EvX0jxnHMbePCefzdc93wAz6UPwXPR/fBcfD/U6YYhkzfWho+B77BzxNla/DyueMFzzh3gMnl7yevhFwS23wfe02+EbnOIfLqi2f9K4e9DW22pQ0rua07Kw5vZz+HQ5oW2tpS7U4csEODnAXQbhj1xfKGHG6q54du319Hgft+9x18Oz9m3gr/m4wXvWbfAe8q18B13GXxHng/fwWfAv++J8O9xFAK7HMKM6P+HwFa7CQM4v+uUv0fUaevDv8vBTOYdcN/9Drxn3ATvMRfDd8AprN+R/QryvscA+xwN79EXwXPl43CL9+jDYiz+fksYzrsLnksehOeqJ+C+4QW4b30N7rvfjbx/73gT7ptegvuaZ+C5/FH2nr8Pgf8eDPojAkSACKSTgJxOYT3Jam4x/kMPKy9J2Ky8tEjUccO3SKQpWrxslZDED0P976EXYueDzxfhlgdeEuWr6xpx5Jk3YqP/noj/HHAudF3HtRceK+pCkcy+xTjsVjx00zlobevAuVffH+Nv3s2MeQc7p4AbxHQNsBpTCXUf1FcTJKxtLhsSO6N7eiJn+RrAdyD31CYX6nayj8FKZhxX2euc69OkejDdWi4M0GtZy7C5fQQvTiks8LeiSknvD4mUFOil8W/eOvzCQi/NYqonmopQZcqdOcUo10umVnX30iK3qtk6HJxjdGgRLzEoKACaCyfhzvLHsHj0LkLhwGY7Y0W1SMLpBHb/L/uwNbIJY7vD+AXqdusJ20RXqBONHe68jHa5cwoUiAARGOwEpE7jOzps7IN3sE+2j/PTKyKbRfjOzj6KoW79IMAPXJSXze+HhEhXed4skQmsuRG0qeuJoE5i//8tFlHOI23cNHhPuwGeC+4VBkjP1U8KQyOvSxT4blv3FY8jsN3eoonv0LPgO/A0kU539O0PihBpswEbrNf79yHRuI9RcfCm0NbWPgqgbhkloA+rEsZwPog6fVNhnHbf+jr4Qo+XGaq54Tuw62EIbLMH1A23hcYM5KHXfderusYG4LvmAxttB35Ia2DbveDf6QD4dz8cvn2OZUb0U8XCE5frPfEq8R7xMgO+f5/jwF//XIe8CI5C6CUV0CtHQhs1Adr4NcAX1fJCd1JyyBCgieY/ATlbU/B4/WKo6F3joiAqstusIufzG21FJg3RrjtsitlfPd0t3HzpiUL6uScdiN8/eRQfv3grvn/nfjx//2UYXTVM1PHo148exuYbsS9hLFNS7MSHz9+Ch285D4oSwWeXFIwzF7IWQNnaOmzDkjPuiA6DINrbOTFp4+RsX1NKxnlO0qupOU9pVaATI5X8+LG6T8FEKGwRiUMtU2z4r8PYRWyXTCiX2Td3XpFkqAm4UMFk8LsXkuyS9WajTU6xyMAHdukBvNeZ/jtpuOxMh6WB9vA8ehqL33HQxBZSemqTal3bUsNwnWq/UHv2MkHAE8p1v5ZP1yGbYssrynUEZAveH3kRfMddLr74L1kmi0ajqjRx7S2yB3e4uzqT01+buGZYpLzk33CaEkSACBCBQUvA3SmmppNLGcEhUaRXGBsS5PqaRE2GQnnW5yi1NcP61M2w3XkubDefBiv7ndYfw7uyaDYkr0vMQ2PGRZHoIeLfC7gBsocmsVUWK/iOY/etryGw9R6xdWnKLWHfyWqCL8ONNtAQtU6QphFixRQG3cq0thvfwWJrKZcLBPy7HgrX7W8yA/j1Yve5brPnglqkAxEgAkRgSBPI+n/NvY6+FDsccE7ccPqldw/Yk8EXAsaMrAQ3qA+YEkNk4EZmCJznb056th92LsXv3rqk2w9Uw01twzHSlB8G93QyGq7YcXyR4YYjnXLTKWssM7gHN/SjXnWjSfP2Kp4v9HzsWtZru2w2+NmzGh2av9chh7EFED7PXhum0KBlrgRdTaFDl6YtC2R46rsU9pItLzcaNDRKCGy0LZptY+AyfiNjzBijzogTx47g+pGPYQu9BhK3Nmq0ydNFQl5MBncBgiIiQAQGNYGwSxm7c1DPs7+T08qrDBGNQUunkaM4gwRM/3sbtquPgfLLF+FRlNm/CMO75cHLYX7/2XBQfv483KanhDz3j3C1Om1GOJ3uBPcZnW6ZIXnf/Wj8hJfZZYvNktuAEOrbl2txEf9WDNAO977Qy04f3cq+8BYUZmcwGoUIEAEiMOAE8kMB9m86O4pWlBXhwL22x7abr5cw7LjNRqKNxWzOjlIZGIUbdPwdGRA8iETyHdVdd996mCXv9PpvUB2Ihdeq+cD9jW9hD/7IySEOL7TPj/ELvo4laB3MIR17UqWZGZ3f7lyMv7r4nX+i7V+o4siYnnpH6ri7JRnJ7R6O9Mpuiu/cP7hwihi0RfWiRLaKdE+RxCr5jvI6ZqBnyZx4NLDFqgpT7ztWuD9+H9L7A0wyIcblS6pA2FsZPWH3NAL+zlipfIc7L+FGdq8PqF7Bc0YYO8b48WfkEsd2R6SuI/bjJVLRJaUG/bjLyxdA8uSXe54uU6EsESACRKBXApI7+OGYZh/TvQ6cZw242waustxABnfOIdPB8tqDsLz6AKTgHRjq9E3A/aHrwYMPTX//DPMHz4WD5c1Hk1JJCRrc+YGKKChKqk/SjbLQkG9CWLCAf0sF1pmuCxd7mR62KIjJzb4S8Q0MmR6P5BMBIkAEiAARGAwE5GxNYuyo4bjq3KOSCnZbxH9etvRL1zi+VgkNM40vQemSOdjkjDcVYpqlNGZa3AC/r3Mi/NwBflQNN8Af7JwaVdL/5L++Jvzu6fuOeb7bfr6/BWtby/Cxa3n/FRogCaXM+qmxFaJZ3oYYDfh5BK3MKB1T2EPGxxZL+LkHPTTJqaoxZieSPbi3UrYjlwzu0y1lSbn82dBWiXQvABWOZQbufny0KTYd5oLEAtx1EtyrY+uHVSD8V8fqV6yK1I8cyfQJ1yZOOIIuZXgLdw8ubXh9KGjcj2swIy+dE0zl74U0JwJEgAj0SMDPVjRZA90+9O7SY9NO+qEFXcpwFye0GJs0tj41VP76EaYv3xJ9uSsf7ynXgvtT5/7Q3Te9KHxJqxPWhFY5CnqBYQ3mz4u8aqnokyiSPC7IC/8R1fygR5HIs2h+0NjO1d5yc5VfMh5KiiPfudrbIt/FMj4wDUAEiAARIAJEII8JZM3gzhmpqhY6aJRnRdA0HX/+swBffv8nWtu7bG8ULfIr4n6Kh6BXkZSeJKdsxtrMcBjdibti2cE+GhPMxpfmUB1vN1yx47G22WhIw05jvnP7rc7F4AbJ0BipXL3MuPy5qxpTzSVYz1IBtx5Ao+rBz55aLA60pSIqJ9ru65yEIwqnxehSJFvA7yyIKUyQ8bEFkjtbZkKScv/LdzN7nurZa6hMtqFcsSWYUWzxVvaRKGMLE7GlA5fb1j5qwAYvmapD6cdaaPk6OjO4R36wdZ0Ix6x6pZjiinItnG9sBFYsN+pHMWO7xRyu6jFhj7ohwOUy+vfYgVVqEyMukuRFs1kJPYgAESACg5MAN1KGZ0Y+3MMo4ibKR0aKya1MhEU/U8rvX0PyRlbEpeZ6WJ6+RUjVLRZ4zrhZHOIoCnhkd4oDIr0X3gvPNU/Dc+F9vFQEeb5xGKrIxImi67U1N4jTIveLWloMHU3se9CI4UY603FhYWSE1r7/3IkIoRQRIAJEgAgQgSFAIGsGd74DdqeDz8Nuh18EnuZsA6qK/Y6/AoeffgPOuOwe7HHExZi7MH93DPM5MXssbGWJjUq8DYWeCXDDOt81Hd3KyYzA3AVKdFlf0l+7VoIfGMoNxatVV8oivvXUYCt7xL3NQc4pwnj7p7ceTsmcsrxc7LBPwQRUJblqVBPoxAglymdHLk4oqFO77scHrp53PgWbhi+VbLGHLwaFC/Ikwe9c4O5w8kRdoaatDDAHD+USBSyqrGRR8FFbJ6E6uMM9WXcyvGvMDnd3cgZ37ndVrzQMK+THnVMczIHmRgSGNgHJFXQnwzDoDtrhzjAkfGjDIt//5IbVCdtRRfIEpIYaWB+/HraLDoDlhbvE7nPLkzci5EbGf/j50Ct73mygs//Xekm5GFSZ96e4hiK5Zhmk1sZQFiF3MrxAnTSdX/IutLQaKpdG7To3SjIXF0fth2oNjp+50UgyESACRIAIEIHBQUDO1jQWLFmJ2vpmnHvSAeHdsB98/hPmL67GaUfvg/uuPxOFTgeuufOZbKmUkXGcY3QUjuun6CHQ/XtmuG5WveGZzvY1hb2GK5KM21v+xDudS8L1Jczgzn1vhwv6mNjBMVrsrrewMT51LUeqRskd7aOxpa0qZvQA07xJ84AbZ2MgCQ/lAAAQAElEQVQq8jTDd7jbJCUp7RvZvMd3uSshqY4D0GiUyYmVbIGAv67aNf8AaNC/Ibnu83zNSQmRJQlvdyxCG3ecnlSP3hu5ayUE3L23i9dCZ2uQngYpXlW4zFqig39+hguCiVJWzpOz/o78uxozmgnkhUkEuz0yrsuVfL/QD3F50b9JjEJNiAARIAJ5SsATdXepzZmnk8iO2lpF5PufRAb3tEA3zfxeyOE73E3ffQjbHedACbp8CWy1OwIbby/qe4vUNTYUTULuYkSGReaPXoLtqqNh/uxVlgPkuTPFVZ22HmDp/Twf0TjHopZW4/tQSUn2FCstjXx/aiOXMpkBT1KJABEgAkRg0BEw/mNnYVrVNfVilE3Xj9yq/+nXv2L4sFKcdMRe2GGrDXD6Mfvir38XoaGJls4FrEEc1aluVKvGrqpVzAj6vbsGUnC+pbIV/+echE2tke2t/7WPxUa29N43uZl1BH7y9H+HUkDXcFxR5HUdnMaQuGxgHYbtBtDNSSqQFfYK25w95795alEgm5Lu+h5b+OGug5LukKGGz7bPRVeXSz0NVaHY0cAWRHpqk0pdR7UEb/A25lT68baaV0K98RuXZ1MK5camNXQYHxei79ix4pJU5Ijx4R76lOm9qxY8OFXyuiCtXBzuILVEdsqFCylBBAYpAZrW4CcQvcMdDjK49/iMFxRCtxl39ckNq3psSpXJEVBmGQb3rq21qvHwHXBK1+KEeXWN9UWd1NEKecVCkUZnG5RfvxDuasxvPgZueJdrjDsd1WlGe6NhfsWtwZ/JJUURI3imZ6Awi4HdbozSSi5lDBAUEwEiQASIABHohQD799lLizRVN7e0C0klxZEv87/8ORebrL8mFP5fnNVOX2MCi4GauiZxzcfI2yKB2V/zUfWs6sz9YjcFd7jzg1HHmqOcAzJN1jSXYoSpgKWMhyRJzFwq0n2K+O5gvos+uvNUSwkmmIqEH3Yk8TfP3xK3lU1SMDxP3KrEnUCXwiX+NnzoWtaldHBkN7JVopwZouUUXk2degAr/FHW3gFA8XrnIuxXMAkWSUl6dH7+AV8MSrpDLw0lRYeuSr20il+tenUo1p778s/N9qCP9mgpFeWxPyiL2A/MosLYsuj2XdPRG9hcrq61ifPapLXDleav3oX5vWdgu/5E2K46KlxOiX4Q8Hmh/P1zrwLkmmWw3nEOpJaGXttSAyJABFInILkiO9zJpUzv/PSQe5PG/m/Y6H20wd1Cam8RLmT4LP3/2R/uW16Fb6+joQ0fA99JVyKVHega37HOBbEgz/+LxYDpx8/ENRTJdStDSeSr/3afH3AH7zYszuIOdw6uuJjHQCvtcDdAUJxNAjQWESACRCAvCcjZ0rq0xDCo1tQauwOXr6yFy+3BGpMjWxXbOwxriM2an76wtQCw+kdAyhpV5O3fupZyjDcZrwkrMyKuZ63I6Fy+dFfDHmdX86a24bBLve92/sa9CtxfeUaVzBHh/PngCxTJqMNdyiTTLlfaWNhr7eDCKSmpUynbUdsHf/8pDdJL4/2ZsZ0vEPXSLKZ6fesw8MN9Ywr7kbFX6jBF7RbvSZSvFaj/XUJbZGM47MN6NpLzz82m2QD/HI2WXVEenQPGjonNJ5NzBtd53Z6ejf7RsrSR48M7GU3ffQDzh89DXrkEEjMUy8vmRzeldKoEGEPrg5dDhEevgdQW31US58yN7dy9gPWu88nonipnap9hAoNEvLs9PBHdbnwvCxdQohsBvXy4KJPra8SVor4TUP5iP5qC3dV1N4deVIrArofBc/WTwugerErqopdUQAsuhijzjVvq+P9u3lkbMRb+XQ/lSRF0ewG08WuIdL5FLS0RjYuLe/5eFWmZnlRRoSYEkcFdYKCICBABIkAEiECvBOReW6SpwTrB3ev3PPEGFiypxv1PviUk/3f7TcSVR3/PNawzw8qyvGTPB09DCLD1AnNB8gadNAyZtyJKFRvGBXe1z2DG9t4O3vToKm5p/qPP810RaMfYoIE/npDPmUGe+/b+MYGLmW88q7CNfWS8rrlVlgZtCmUzOpLw/c1dAb3ZYbxn0zBsVkTwuxF6e611VWRT+3CkauzuKmMw5AvYy9/WxfjNXeHzneld5+dlPwgltm7atkQWft8txUDpGr3/MDTZJARvfAmLrKiI7ZeK//aQEEfwNmh3Cj7ceV8twYFq8oK/eXXeBO5rWF69AvD5Bl5nn1cY2pV5hkFE+fM72K49DsrPsTsRDSP7BZA6DWMg35lovftCRB9+N/CTIQ2IQHwCyuxfYH7j4fiVOVYquTsjGjFDZCRDqXgEtGHGAZ7y6uXxqqksBQIhg7teUARt6rop9IzfVJu6nqiQ58+CzIzuci37v8dKuC94/17HwH3dc1A32BralP6PxcQOyKOlJfI7s4R9t8qmEqGDU9taszkqjUUEiECvBKgBESACOUsgawb3YeUlOPekA/Hepz9gn2Muxwdf/IQj9t8ZI4aVCThujw8PPPUW1pwyDiVRbmdEZZ5EfGemoyrWOJQnque8mtxQKktS0u5foifEjfWHOqfC1IMbkRl8xz1bAHAxC2INXzmJErBadeHYwjUh99A/qnneJwtlC44uWrPXeXAuIwaRK51EEy5gluOBchn0hWsF+GsykW49lXN3MnOTPGS1Jzk91dX/KaN1ceTHX6it6pFgZkbuook62uLUh9p1vRaO08He5jHF5V1ufhk3xthhFdOol4zDoYsWbnd3XUVFgkidPB3q2hvDd/i5cN3+BrTK0aKlsii/DO7WR6+G7ZpjYb/g/4T+AxZ1Mbbrw6qEKtyobn36VthuPBnWx66F+fVHDDcyXraKzVqo623FYoAbT6x3MSN8gh3xohFFRGAACXBDu+2WM2C9/zKYP38DlmdvH0BtYofmC2/x7iaRol3KWG2xnfqRG6xd9fIR4alJdKZHmEXKCfb/QJnzu+jGd7eLRD8jbeoMIUHyuGB59UGR5lFgsx35BXrFCHhPuBLeoy8U+XyMWqP8p2fd4F5sEPN42fo9C0aOYiJABIgAESACRCARATlRRSbKjztkNzx776W4+PRD8cbj14praBzuYmavnbfEGcfuGyrKu6uNrR2UTDEMO3mn/AAozA+j5K5LuvpWT6RKhWxDc9ftr4kaR5XbJAXjzUVRJd2TwxQ7Zlgq8B/HGFSZjAOxQq24UXlklD/5UPlgvpbK1l6nxw8SnWQOfvvutXVONMgrJWZ5G9ChB+CQzX3S2yTJ4O8x/jz1SUCXTtxNjKdRCpfyBcb2JRJUT7gonOALj84xOoom6CiZpsPfCRHCDRIkuIE+9PZb9Z0ET4OE4kIdliACM7uOHJmgcw/F9qArnFRcynBxgf8eAu/pNyKw5a5AQRG0Kevw4rDPWZFJIVJ+/hwWZli2PHtbj724X1swY0SPjZKslOf9CXnFItFa8vn6rLsQ0M+Iu5AJ7WxX19wQ7ssfg+ec26CXlAvJXE/lj29h/uJ1keeR59Tr4D3pKgS23YtnDaP7TafC8vaTkILzEhUUEYEBJCD//RNsN50mDO3y0rlhTUw/fgLLaw+G89lOyIvnwPLK/WzB7TjYrzgC9osOhP36k8APkORnKPBdwNLqZUItvTA/7y4VymcxCi0U8iGlhhp+oZAkAW4IDzVV5v4B+H0iq87YQlz7G6nT1guL4C7geCaw0fbi/zdPh4PdGU7mW6K1VQqrnHWXMkV6eOyffpXDaUoQASJABHKYAKlGBAaUQNb/W2647lSxsz3adzsnMG3SGFxw6sHYdnNjdwIvozC4CdQxS9037pVoT8J9CSdxTNGayJbhe1WgEw2qmw9LIQGBLW1VWMtSmqB2cBV/0LkUq1VXnyf1Puv/VNscdGr+pGV866nB1oxx0h3iNOQLSXWB9LyOvexHXmfkvDHhKsbk1MDWBLqNbGHrW4rNKOZHJ7Qtkpjx3MgnGxeN18O756evrWP8OB3rr5f67nY+nsNh/EB1pehShveNDqGDVKWOVvTFnYD5nSdh+vkzmH78FOZ3n4oWHU7Ly+bDdsPJsF+wnzCUhSv6mDB98UZMz5Bv25jCLGSUf39D2Ni+7ubwnnkzYLGCuwBwX/EY+OIGN8LrRWzlOqiP9/QboK2zmcj5Dj4Dgc13EWm5pQGmT16C/UbGiRkPpWpjQUFUUkQEMkHA3QHTN+/BdsvpsJ+/rzCs84OUTd9/JAzttgevgLx8vhhZZwtIvkPPgjZ2isibvnwL5g+eE+lMRsrM78HvEnGcshNCwXbbmTB99Q6iP6+klYth/uxV4drJdtcFUGb9INTSyZ2M4NBbpEXtcJfrV/XWPEH90Cs2v/s0rGxRKmQI56/XEAVt2vqhZL+u3Ae8VjU+RkZgq11j8vmeaQm6lCnJsv92zm2NaTrKyw2j++dfyvh3btbNCFwNCkSACBABIkAE8oZA1v5T1je24JV3vowb3vnke/zx9wIEVDVvwMVT1Mu+BGl+w7ATr57KYgmUyhYsCrRhjMkZW5Hm3CsdC1J2RcMN+5+4luPqpp/h1fP7ddkXnB+5lmGBv6UvXQdlH0WSsDxg+JLuywQ5S7MkY2mSMlToOKFoLZSFrNZ9GZT12cA6DEj2IwnGX22ChSZuOOe72o1WLGa27+JJQMV6xo8vVhL3obNqX5sE9nZHKn/WYgmKjXUGsM9eKo49SsUeu7JBWT7Vh81qyOl0pQijy0BqlE/3VP24c3cOcnN9WKL5oxfBd5+HC1jC9MuXsN18mvBTLvm8wlDGivv84C5YTH//HNNfmTszJp+tjPLbV2Io3WqH95RrRTocOQrh2/tYYYR33/IKXHe8Cfc1T0Nde5NwE57wHXk+fIedAzXKOMONh/Zbz4Tyyxe8Sb+D5HFDbqqDvGKh8AGszPyOLZB8AtOXb8L0w8f9lk8C8osA9zFteew6OM79P1heuhfy0nniXAHuOsb84fOwPH8nwob2giL49zsJ7pteRmDrPcTdMXqlcUuO+f1nYXnhbmbofg3cjYbEFo3SRYJ/FvFd69ZHroYc564PfmBkYLOd4d/9CPh3PgjqhDW7Da2zRQJt4trdyqmgOwE9eDAnr5EaV/MLhV4I8DM5zB+9ALmuGrbrT2SLV+9D+esH0Utli6q6zS7S6Yi0aZGNW/xuhHQZ89OhWzpktARdyhQVp0NaajJsVuCIQzXwK+/5+lsyaugtwFFQIAJEgAjkJwHSOuMEsmZwX7GqHtfe9WzccOlNj+GIM27AvsdegQVLqjM+6UwN0PCHBM1vGHYyNcZgkst3725uG4FRSRrcVWaE9Mc7obEHKE2qB/Us2CVTD63iVx1UOBXnlGwAi6TEbzCIS7k7kgbGLdEU+fOwMtCRqHrQlY9QCrC6i2//ZCfJX4NW9hqaYC5CTZK75BVmJed9kh0jUbt1rRUYZypMVB1TXu3vwONt/+Jvb0NMeShjKdRhi/KnbmE/9koTHIS6+seIYZutVaB4ijFbkgAAEABJREFUsga+6z0kK5mrmY1XsW56Pk8dDmNEvqYbvIPdKEgx1pmhhe+g492Uhan5cVcWzOLdYoL1iRsh1deAu1HhhjvLUzfF1POMVLeKX/oUTJ+/Ee7HjRo8I3M9fD6ezGrghms+YEgPnk4YmAGes45XH9hqN3jPvhXum1+Gb59jjSbsSbU+dTPML90D5fevYfr2fZg+folx/QZwJ/6ckmuWwfLg5bBdezzsFx8kdgXbz9kLtssOg+3GU8B3/1ofuUb44ba89hAsz93BFkOajDEpHrQE+IILP0eAu1+xPnQlTH+w11FwttxYzV1L6VG7wXWrDdyY7bn+Ofh33D/YEuAuWjxn3IzQZ4bpuw9gfvNRWO+9GPZLDhFGfNud5wuXM/w1qyz+F2LBZ8kcmF9/CPw1aT9/P/A7XvjrVBjsmZGfL/wIVzWPXw/7OXvDdue54AtPoYH5e8R33OXwXHw/XPe8D89VT8B31AXw73Ek/P93PLwX3isWtTzs6r7xRbge+kwsEvA2oL+kCOhllUY7vqJspChOQEDi/tS7/G+zsM9qfnYH7xLPnQwv72uIXpD1bzG4drdzJq2tPAZKioxrtuOyUh0H7KeKYQN+4PkXFayuFVmKiAARIAJEgAgQgS4EsmZwX3etifjx/Qfjhi9fuwsP3nQOOlxuXHjdw1DVvu1i7DK37GaZXcjvBkL+h7M7eH6ONozB+o99dNLKL/O3ge9WT7oDa7icGYXHJmnQZ81jHiZm9CyWzSyOKR4SmULJ3KOrn3n+ZvzsrRsSLPgkp1vKsLXN2KnI86kEvkv91OJ1sL51GKaZS3rt6tZVNPaw2NGrgD40aNN8+M1Vj90c47CjYwxWsPdNXZed7mZmty8cyz7ousjn6xDRNgee5yG6mWMEYC6ILslu2hH04c5HdaV4cCrvAyB80SZPF2lpwV/immwkzzfa61YHvCddLbpxX+32K4+E9bFrYfr+I1GmlQ6D74jzRJpHcn3fFqG52xvuvobLCGy8AwJb/JcnRZCX/iuu2YqUv36E5O4Uw6kbby+u/Y304nIEdjkEnovuYwZNww2N+Zv3YWVGSMuL98DyzpOM63WGUfOOc4QBPtooyV1qcEM7vwOAG96l1uQM6cqPn/RXdeqfwwSEcZAZxM1fvA6prVloyg3nfGe4+/rnhbHac+6dcN/5tnjt+Q46HZ7rmKGdGbN1W3BlT/QyIr2iCp4zbxbukLSxU43CUMwWg/gCmOnLt8Bfs9bbzmIGdLbgc+uZMH/xpljckTrbIFcvAn+dCoP9e8+IhR/Ls7fDxBaXuL5cnNCR6eC+5VVxF0hgo22hjZsG7raJ13cLjkJoE9aEzj5vutVRQa8EtKC7IOWnT3ttm2wDvvgqr16RbPO8acfvDJGajO+Lgc13hl4+PEb3dB2YGhKqrrcl3Le9DvdlDyOw7Z6h4kFzbW01NjSUlHT/PpatSU6ZrGPnHY3f6u0dEp54yoQlSw29sqUDjUMEiAARIAJEIMME0iJeTouUJISYFAVFTkfcMHxYKbbdfAZuvvQkzF9cjVW1DUlIzK0mqhcoHDdwX35yi0ZmtClVbGjWGOgUxE82F2Nnx9gUelBTTmBDayW2tic2MNcwi2qV4uBNh0TgO/5LFWu/5uqQTEm5T3qubS78MH7I9GtA1tnHjPczfb1/nhbJFuxTPCF8RkI1M7jP6qWfv10Cdw9fP1OCN8pWycuUNN0d7mX2rmhjPptSnx72oA933tnl7t/ntDopeHBqcz0kFrjMZELIfYw6dR1wgwDfhRrdjxviuTHCe/EDCMzYMlzV1x3upq/fA/zGTvbAjvtDDR74ygUrQeM/T2cjKL/+TwzDDZLpNq5o49eA59KHwK9ikDiRvPAfYYDnbjdslx4K21XHwPzmY+GW6tqbQN10RwR22Be+vY6G75AzIXYIn32rONRVHOw6aqJob/7+Q3GlaHASsDx9C7grJj47vrjmO+YSuG99TewM72oo5K+5wHZ7i53svH2ioLPXDneH5LnkAbGb3HPJg/AefSH8Ox0Iddp6iN4tH5KhW6xQ2eKeNmYy+G5q3dr9Q1W32sTrlh8sLHTc/Qi2+DQ0zlUJcRqoa2C9rcTQ/G4Ieckcke5PZL/qKPDFVxtbbOELsf2RlUt9Tb99FXb3xT9nfUdeAM9lj4AvCHE91Yls0aewhCfTGnRnMfTRkwC7M61yB1pYizC2G1oUFxvXgYq32kLDxhsY31W97KvGU88q+HMWGd0H6vmgcYkAESACRCA3Cci5pNaUiaOEOnUN+ec7mtmCUT69f4YcMXmKEhIokSzgBsSEDeJUOGUzbJISp4aKeiLA/Y335IaH109iixk9yaA6gwA/FDjZT4algXaUMMP+iDQtZnB3SN+5V6FJ8xjKxIkb49SVyFa08FXEqPaaH+iojhQ0z2X23DYJZgeY4V0KV5jZ79t0uYKp/0NGFzXC46SSsNsiz0C/d7hPivg5lhcau9Z70yXaf7s2dX3R3L/fydBGjoe6yX+ET3P33e+AGyOE+4mCQsDBAmsp10VBZ/lkHtwIZPriddFUm7oexG7MgiJooyaIsnjubURFX6Oe+vm8UP7+UbRQg0YqkUljpBeXid3G3DAeHbiveP9/9oVWNS48GvejH2KqMYOMMH6efgMzgF4E3wGnILDrYQhss6cwCHHfv4IfY+hnZVwIfy6lf37lSQqDjIDpk5egzAr6lV53c3jOuwuBTXZI+yz5+1HddCf49z0B3rNvE7vluWsX72k3iDL+Gnbf8z68bHy+mOS+4QW4735XGOu5KyXPlY/Be8E9rOw98brV1tks7TqSwJ4JqOtGmCu/f9Nz415quUux8MKquwPmtx7vpUffquXlC/rWsY+9+MKB+ZX7RW9uAA/duaXbC8SCpu/Qs6BuuJ2opyg5Ai0tkXYDcWhqZHQjteceGnaPOlvnrXcU/PBjTpkWDEUpJgJEgAgQASIwQARy6r/i8pV1AsOw8v4v2wtBFA0qApIk4bwSw1g1qCaWJ5NZHegE39nO1d3OPgqV6drGzAXmQfjUtRz/+ppT0rRR9eDZ9nlht0TfeWrAjeqJhOjQsa6lPFF1n8q5D/dl/vh+rO9r/QtyxBYdlj/KVIDRXVwxaSrQMi/yLyPgkcShptYSpjWrQ/CPrReAG92D2X5dZLMOzRcx5vdVmMMRmaSH6d1XObyfNm4q+M5Snlbm/80v3QI3NIQNKKxWmfsHi41H6EA3fkic5wpmODvmYqjMuGfURmJ1uOFuS6pbGSlMMmV5+uawCxf/XkeHe2mT1xFp4d4mS37cTX/9BMnrEeOqG24rrpmKQsbx0JVz9e9/CjxXPg5utPQdwgw8628ldiT79jkWnsseNhYjklAoxhXON+8n0YOa5BMBfpCp5e0nhcp6xQj4jr5IpLMVcdcu6vRNwHe989dvonH14nK2gMQW6iaulagJlWeDgN0J/nzxoZTfv+KXPgczW+iJ7sz983N//tFl/Uqzz3rutszy1M39EpNSZ59XnFXAXZvxft4jz4fOFkZ5OhT4wcL8rqJQnq69E2hpjbQpKYmkBzK16cYajj9aReisnI8/kwf0INWBZEFjEwEiQASIABHoSiBiPelak8W81+fH33OX4IpbnsDoqmEYOSLqZL4s6kFDDS4CczzNeLtjyeCaVJZmo+k67m6ZGR7tC1c13nctxYeuZeGyoZbgbldWBNpTmvbSQBvGRhmu+QfuQn9LQhkTTEVYw1KasL4vFZvYRqBANnXr+pl7Bba0VYG7aupayefKDzSOLpcVQAtESvghqiYHUDiehQy507JXSEjxnOSIglEph93IWC2Awp8EI9vnWJto7HKXF83uJkNqaYD1jnNhferGcJ0SdOGiFxSCu4gIV/SUqDTu+JJTNLhzf9DyAmMhgO/uVqN25KtTZ4RHzJYfd+WPoDHKURg2UIWVyGKCu+UIbLMHvCdeJVyEcP/vqQyv2wsQ2HJX0UX6/VvoLU0inUSUsInUSCfNJYSThQruOsb84fOwPnA5LI9dFx7Re8KVcd28hBtQgggwAuoG27AYkNlnvry4b25l5PkzEdp5Hth8F3BXQlyo+aV7+aXfgZ9NYbvjHPBd9PLq5ZCqF/VbZjICrE/dJM4e4G35+Qd0FwYn0f/Q1iaFhRQXRTYShAsHKDF2rI5jj4x8QXznPfaFcYB0oWGJABEgAkSACOQSgTSYHpKbzp//LMDa2x0dN2yw8wk4+ORr0NzajluvOBnc33tyUqlV3wjkby+3ribtVmahtxXDh9gu7HQ9s7IkCS/iHdyPCBM6yVKM44vWxnFFa7Lc0HxwNy+1qiulybdqPqxpMQ505B1HMuP7qkAnT2Yt8PfAVHP3rVCjFSfWjtKtN4VkM+AcHfmBV7GeDl7WtV/jPxK8LZEfhV3rU8mXrqXBWhIZM5W+0W0LCwEL05/7GV2yNLqmb2lt8nTRUa5hwjrbRJpH3Nhuu+s84QNaXjov7BqAG1V4vTYlYvDm+Z6CNmykqJYaasQ1mYgbVCyvPSiaapWj4d/rOJEORVpwhzvPK/Nn8UtGAz/QUfnzOzFGYIOtxTWfo2i/++o3H6Y8Fb7TX/nrR5hfvAf2iw+C7foTU5ZBHfpOwMKMmI5TdkIo2K4+Fub3noHyz8/hO0K4mwvu8qXvo1DPoUIgsO4W4akqf34dTqeSMH/2Wri5//+OR2CPo0ReHJT7xZsiHY7Y/xpl9q/gfeRl88PFPMHPCLE+dCX4GRXmNx6FwhaD+SHRtptOZQb9SFvTL1/y5hkN/MBqZeb3Ygx1+qbi/AORoajfBFqD+zXsdvadxtJvcWkVUFkJbLOVJmSuqpHw/Q/JmxhcbtEt56NvvpPxx8z0fL8dmMnSqESACBABIpBtAsn/N+ynZiOGleG0Y/4vbrj49ENx73Vn4pOXbsOMtSb1cyTqPpgJ/OJZjR89ye0KXOJrx9h0+bYYzFATzK1YtqBD94va8SZmsRSpoRuNNxfhQOeUlADsYB8NfnBvqBN377KTfWwoG3P1ssWkH9nrO6Ywg5k1LaWwSkrCEWZ6G+DWAzH1ZWvHMX6zIn/Uxn9PgwTZxAqRW39jxhg6LV/R/x9L/DDD0Owsbzwidg1y3962285CtCsZ86evwPTt+5BaG0VzdY3kXWLpzGAuOrFIXr2Cxb0/ol0G+I65CLDE/iLn/uG1qvFCkLIgOf/zonEKEd9BafrhY1heuR/WO88L9wxstF04na8Jbfwa0EdNFOqrX70vrslGpq/fhf3sPcGNYmbxmmiCWJBgBrRkZQzKdlmaFDcAmr55L+5oWuUoBLbaXdz9wN1cxG1EhUSgK4GCQqhrbihKlT74cZdXLmGLPb+I/oGtdoNeWAL/TgdAG2F8R7C8/pBYHLJdcogwpDvO3w/W+y+F+c1HYbv5NNiuOgaW5+8EN6rb7r4QfDGPn1Fh/vw1WG8/G/brTwr/7xGDsEj57X8szjSwY1QAABAASURBVNDD54X5g+dh+vglMQD/X+M77lKRpig9BFqCO9xLctTz6rZbaygtNb5rffGVjKbmnr9v1bPvi6+/qeCue0wpA/J4U+7S7w7zFkh4+10FzzyvoK2957n1ezASQASIABEgAoOCQNYM7lXDy3HqUXvHDUfsvzP+s/UGcNhtgwIqTSJzBLj7i+aoQx4DPfibOHPYOhhlcqasDHUwCBxWOA18V7eRo5gTsPVgoOb1vQX+9bzK5IjbbJG/FdVqZna//+mtR6o76//1NWFlgt34qg/wGDZkcAf1q76Tw65fAi4gwRSR6h+XxUOq/eK1Hxs0uK9cJcHnj9ci+TJ93BrhxqYfP4X9hpPFbmWpqU6Uh1yP8IzlxXv4RQRt2nrimkykVY6MNKvv3Y+7MLYED8Xz73Y4NGYcjgiIpEKLBTJ3c+NjT2SkqltKXjInZgGhW4NgAV9YsN11gTAocxaW5+6A6at3IK9YKFpwQ5I2LfnFBtEpRyP/NnsIzfS6Gij//ibSyUQhI1TXtspM4w6AruWUTx8BvhhmeeZWIVD4Zz/gVHHYqPf0G8EPK/Vc8zR8h50Ndf2tRBuKiECyBNT1jTt3uKG7N7cyfOHUfvbesF1znDCcWx+9OjxMYMf9w2l+1kQ4wxIyd1nTXM9SsQ+5rhqm7z9CyCUNr1Undr8L0cde775Dz+bVEHpm4O4m/nlvv+IImN9/RoyjO4vhPe166Lb433dEI4pSJtDSYnQpLjZ2khu53InNZmCfPQ3dAgHgnffkuMrV1AAvvSrjvgcV/MXvimRfRarZd7O4jeMU/jNbwl33mtCaRaM3/7q0YgX/Fg8sWizhfqb7zFlGPo6KVJSHBEhlIkAEiEAmCMT/T5iBkZpaorZAJim/L32SFE3N8pRAhWyDqhu7J9o1P97oXAxXl124eTq1nFO7v8blnJtQlhVq03yoU5O/T3YVM7aPUjLz45T//PmDGd1DCN7vXIr6XnTjdzi0arFbiDpWQPhx99RL6Fge+aFhsgPCMM7emiO31iCl6T+Lp1FCy4LIOCH9+3IdE+UOZ1UKP+zijcUPTfUdeym0oGsZ3kbyGs81N5b4Dj8X3MjBy0OBHxgX2rkYKuvpGrPDvTYJg/vfP4XF+Xc5OJzumtCnrBsusl95ZEKjMXdZYL3nItivOgrcFUdol364czBh+ugFmN96HNxtDneZEiwWuzUD62wK/x5HwnvKtaHivL+qG+8QvnPA9N0HSc1Hmfm98PPMG/v3PQHuu9+DutZGPAtl1g/iSlF8AnJwESt+bXKllidvFHcT8Na+oy5CYIf/g7rpjlDX3hj8sFJenqOB1MpxAup6W4Y1NP3vTXCjO3fbYvrf2+HyUML87pOQvC7Iq5eDu4YJ3Q3F3a5ow8eEmkGbui5ct78Jz9m3wr/viQhstjPUdTaDb6+j4T39BnjOuY2Vn4CQcV23OuDf6UC4b34Z3gvuhfvOt8H/PwXYZ5WH5fnrPbCh4W+eD2L69Ut+6Xfg7s64SybbjaeA39EktTULmfz/ovfs26CXDxd5itJHILTDvbS7l8D0DdJPSRPG61h/PfZlkMlZslQC3+TAkuHH9z/KeOgxE+bMjf2iuGxZct/1vvtBxqtvKHC7gXcTGPTDg6UxsaI6Vj++w/7NdxTwHfppHIZEEQEiQASIwCAjEPvfLoOTu/7uZ/HhFz8nPcKsfxfhuHNvSbo9NRwaBEaaCrCfcxJqmbHw8bbZ2Mw2nG+wFZMPGeJfbl8g8hRlgsDQlvm1eyW+dq9KCsJXrG19HJ/vM30N+M5T001GlVKAdSwV3crTUTDeXIhlAWPRk/vln+9vwTDF3qNo7t+9RLbGtGlbIgvDesADKFE3JDkqmSHeL4G/GdlQSNefbNGhcblpEDgmuMOdi6peyXTliX6EwMbbw3PeXXBf96wwKusVVfAdeQECwR3Q3Mihrrt5eARtamo7vHV7AfjOcC5Aqq/mlx6D8vfPol64OLDEPm+iIhhxtzZ6cPc8N6Jb77sElhfuCtYaF3nVUljvu5gZh9gvWlbEXXHYrjwK5nefAtwdrMR4mH77GpZ3nxYZrXQY+M56blx33/QS3Le+Bt+p18O/+xHQJnTfdSk65WEknhdmrOWqc//0/FBCnu4pmL56R1Tzvv5t9wZfsFHXM3ZTS+0tbLHiL1GfqWjZx5J432ZKfibkSh2twv2O7bLDYHn6Vkj13T8zkxnX/OZjUJbMEU39ux4KNWqRTBRSRAT6QYB/RqvBO5dMv30F221nwvLUTbC8+gDMn78elswXMPnnRbggKsHdyERljWRBIfhdQbzOd9QF8J56HQK7HsYWiTaBNnU9YWAXxvUbX4Tn5peEAV4vLhd9+ecM///kO/YSaKEd745CqDO2EPXK74n9zfPPI9GoSyS1NML8/rPhYHnietivOBL80OHQnUz83BDvSVeL/4vaqAldJFC2vwRcLsDvM6QUFxnXXI132kENq7ZwUez3rb/+iZge1p2uwxHcZ7J4SWy7sICoxHvvy/j080j/BQsl/JmlXeZLohYEDtxPRWmJsajAd+jz5yZKTUoSgUFIgKZEBIhAXwlE/mv1VUKS/aavMQEXXPcQzr36ASyrrk3Yq6GpFbc+8BIOZV8up00em7AdVQxtApqu45yS9cB9Ytslw/ffX8yQeXfLLPy3gF43Q/vVkbnZcxc7q9XOpAZYwIza3O9718alkhULfcH7gqMquYG7MN4ppFFt/p+984BvpLj++G931dzr+Xy933HcwRV6h6P33luAhARI/yek/pP803sCSQghEAiE3lvovXNwd1zvvfnOvciyyu5/3o5WWsmSLdmSLNvPH8/s1Dcz311Ju29m3/Q1WKV6cHLhOJAJpjX+Jkx3lvcqivo+xVkWU07RDBghBZrLQIFtbqBiXx3usN1OZPDPKR7EHB75UNNfsW4XQJt6kZwtW8nPjCNFOymVSfEePOykGKFdV30bwQOOQeCc6+A/48qYvFQi+sixZjG1F2WjunUdSHlOhWklJB2TOVIQdf7gnwiccGGkiOPd/6LgOxeDFOu0+tJ9y81QOtrMfBofBRR/F5wvPCCVLK88KpTEn8F1728pC4bLBb9QtATOvBo0yWCU2y4Os8QQ844+PTIg7YOXIuFEAeKprVlsZoVIUR+eDIlZGbv4bTM/G16bUBIUj0HGzDxlo4/xMslUj+fn15s2qSnP8dErKPjRVSB71ZbZJkrvyZES0HXbD+F85RGzmD5hOgJnXWOG2WMCmSQQmh9dPW6X66T9PbZtMJNcT/zDPMLpAk1Iev/+Cjp/8wh83/2rUKDPkXl98OkNjVTNtgQPPt5sQensgJbAlJX5ufvp5+H58edEvtz0lCrQanz6PDqfvw+Wc4jJVsojp4+fji4xKeD7v7th/16jPHaZI9DSEpVVGntrFs3Ik1BxMTB6lLx3syvcye45mZOhbp5yoo4Lzgth2lRZbtPmnhXuZDd94SKVqqKk2IClqH/hJQ3t7WZyVr3N4f7RuGbPMnDZJaFIe/YxRhI5wASYABPIEAEWM7gJyF+uHIzh2ktOwyP/+Am27tiD0674Di4VCvVb73ocjzz7Jp584R38/d6nccN3/4RjzvsaXnzzY/ztl1/Hr79/fQ56xk0MRgKJ7GDPc4/AVaUzEL8qdzCOj/ucnwRGOYrQEPL12jkydzTPNQJFirNbWXpLY1eCle/dCmY4YaqzHA5Fxb7uSpxSOL5P0ovHAarTAB09I+RDkl1Q+zYFrRsVe1K/wrRavnJ293b6KtQyK7Nte45++opK4P/8D0EmXowaofVMs+PGCGnHXd3T8wp3a3U7iSeFNx17dEJBHjj/epC5AX2kOKmisNLaCDIdQ/aFlbBpAFqxThMJ/ut+AFq9KIqZinjnE3fA86dvwVpu57/meyCFJuUPB2dMngl13BRzqM73/msek3mO8Op2yg8efSYdTEcTH7RSlSJqFs3K6EInULFP5j5D1N9sOtejt8H9l++JCaTGbs043nsBBT+4HM4HbwGtuKUC2oqP4b7tf83NJQtuvhCen1wLz69uApm5cITf+jCKStF17fepODsmkHECoXlHgSZdLRdccG6kDfddvzCV1+aeGSI1uOB8WBOS5ibWE2aI1Nz8h2YfGrGp7vjotZhGXU//S37u2lug7tkBt3he8/zxm+ZKffdfvy++91vN8mTuJuwQPOxkc8LA972/IXRo7GSzWZi9jBJobonet5SHV1dntIEMC5saVqRv2aqgyy+Fr1snj+RPnKDTAZMmyiPZfI8322IWEN7Hn6im3XQRxKha4MYvhnChUNZT3CduyZ9+LsqG0jLt6M2CrdsUU+yEifL3dGQNUFBgJmH9xuy2L1thnwkwASbABAYjgZz+QsyaMREP3f4j/On/voxD5s3EyrWb8RehdP/lrffjo0WrMHFcLX7+nevw3L2/wrGHzx2MPLnPA0ygUrXZuRjgvnDzQ49AqerCjWX79TowWqm+oFCuTo4v7BRK76+Xz4FuyJt2yt8UbMVSfwMFs+7ojRBSvPfWkN/Q8X6c6ZuS8Qacxd1r0iaq/jagqwXo576y6Ptf7zXHj5UPdvT6b0OjfHjqvdbAldBHSCW90pD8rTDqnbZc2m/XR01My24umRvw/eRf8F/8ZZACmGRZLnjMWaAV6xQPHngsaPWi//JvCGVRFSVFnP+saxAKm0eJJA6DgLpAKs+V+t1J7eArPi+0D182aZhKqlETzLDlBecdaQbNjQw3rzbDmfbKJhtikgwIdAB6MNPSMytPXbMYjtefjAgl+9W0ErjrS/8Hffy0SLrz7edQ8L1LUPC1M+D+6w+ghfcvIHMYat02qFvXyrKFYsLr7Gvh+/l96MuElxTCPhPomQB9dwbOuAqWo/07gmGlO12PpLwmCWa5Uy6h4MA4MdEaEpMD1Li25F1oqz6FtnoR3H/4BhwvPkjJoBX4hpgopoi6bhksW/RGWSV83/kLfN/4Q8T5r/oW9BxOGFCfhrNrbomOvqwkev8YTc2v0FTx22P1aNMm1QySCRgK0Ar10aMpBKFwl0fyk61yf/sdeb9WVWnguquDKCoCpgj5lq34NWtVkFKeZGTDbbOZIZw4PtrClCnyPGzYEE3jEBNgAkyACeSSQP63JX8Bc9hPh6bhpGMOxNe/cAFu/83/4J2n/oKFL9yOe/78XXznpktx7qlHobCAlaY5PCXcFBNgAjkmQEpvVZEPENT00q4GGDYFPKVl2jXpXXi6YxOsvQ56k+8SEwNvdO5ACPKBwl6+Y2es8i7kU1C/WDHtRDvCK37s5fsT9tUrgk1/JETrjhsXDW/dFg3na8iuJFR3bU7YTbIhrm5eY+aF9jvEPKbrBY89G76f3gtSsBvuAnNDSf8lX+kmJnjkaej81UMgRSitGg4dfDyCp17WrdxwSHAccZJpSofG6kiyear24StQunxUBMGjzjKPdi9k23AxmX1ne/mJ47QUAAAQAElEQVS+hFWhjHa88zyCKzagYWnOb/nS6rIz/DYAmcgg5R7ZryYBZHva973b0HXjzxGy7QdAZo4onxxt1GhOakzfH3Sk1cadQtEePOXSyKpeKseOCeSCACnd7ZNE1CZdk3RtU3igXOjgBZGm3bd+F+5bvgNt/XIzjd528n33b/D95G4ED4uuWNcn7gNKp6NZkL3eCWShRLN8ycCUXFJiHvLamzjBgMspu7huvTyu3yB/g6ZPl3HyK8oNlJXJ+8xNYbMtlG65TxcpIFM0FD/6KB1hq2wUxcknhkDmayjy3H9VLFseva+mtEy5zVuicieM1yNip06W4bZ2BbvrIskcYAJMgAkwASYQISB/+SJRDjABJsAEmEBPBDqNIHxGqKcieM+3C3oCRbW9Ul3Ii72hTjNpe7AdYxMtHTdzM+NVqG6hcN+IRV17UxZYprrQIhT1VoXOesDfqmDvIhWqw0oFHIWGULYrqNrPgKdaPjhFc/sX2rsE0LuiDzv9kVZdZcCaz92+LTMy+9Of3upaZlyoXLJNI8mkBuWT68l+O+X35AxPAQKnXQHfz+5F1+e+01NRkCKUVg13Xf7NHssN6czCIoQOlMorUpbTxId9vGRr3Pna42YSrWwNHniMGbZ7Rnk1QpNnmkmOxW+bx0x59DltXOiF+65fwfXAn1F195fQubUzb1e5Ey9tyXvm8EOHnohEyj2aUOq6+VZ0fe03Qqk+F7QxI72d4f3jk+ZGjfbVt7Ta2CgoMuWxxwQGgkDXF34Umeyh73J6a2gg+mFvM7TPfJApG3sahWl/iS6hbNdHT4RRXAb/Vd82P1OB4y8wV7Yb4ruKyrEbOAItzbJtWuUtQ/nvTw4rpMnG+YaNCvwB2efp02LvEydPkulbE9yXvfWOamaSUn7enNh6hQXAOWdG78cffULDwk8Vs3wmPWsigMzIUJuW7KlTrBCwgc3KRGFwiAkwASbABCIE5K9YJJrTADfGBJgAExh0BMg++z1tq5L2e5tQnq8NNENFzzf9I7VC3N+2Fs16l2lTnTY2TSo0Qxl/HXEsDnCPSFnasQVjoRjRcfj2KujYoUDzxD70kPK9QIilo6Iio3+aW0GoK7a9/jQwdpyUtW1Hhjvan04lq2uz+06mCRIV08J2qlFQDFrlm6hMOmmkHE6lvLlS0+VKpeiQLUMr/q3BOR+9DdY5crz9LDw//QKU+l1mduiIU81jIk+fJzdcpAkVZfuGREX6lNa0Gihd+RSULm+k/sjg2/C3RKJ5FSAzMVaHelNMktLQ943fwffDO0BvZ9C1b9XlIxPIFwJGdS38V99sdidw/vXmMR+8rq/9FvTGSOf//Rudv30U3lueNydZadLV3j/6PQlc8EV7EocHkMCu3fJerCzPN0y1I5o6VcaamhV8vFD2HwCmTpIrw2UumZWR8UAA2LY9Wm7xEgXNLTJ+1BHy3s2qYx1JeX/5JVGl+7PPa3jr7czd31GfyA49tTchbHeewuRKSwzU1FAIoEkFGWKfCTABJsAEmECUQOZ+kaIyOcQEmAATGLIEarQCoYQG6sKr0+MHuinQikmO0vjkhPGziifh2Y7NmOLMzRNUoaJBtZmySdgpW+JsVyUqNHckhRTqut9A6cRIUiQw4gAdavj14UhiBgIFCTZn7Y9Ya+NUev3X39UfSdmva7g9MEorzYaUPTvMo/bZ+3D9548gRTuZK1FXfWqmh2b3zZyMWVl4tCLal5ttBERr+fbft/7ok2aaq6yptuPTt+D5ybUo+MHlcD14a0TRHdr3QAQWnEdFErpg2KYyZTo/eYsO/XZ+oaBQW5tQ+uHdMbLKlt0PT1VMUkxE3T1wdpa0sFkeUqbrtTYjuTE95AgTGFwEyGxU19XfRmj/w/Km47SKnczdGDWjYU6wDvOJ07w5MT10ZNduoKlJKp6nhu2G91A8b7KmTTYifVm1RjXDpCB3xs3VTwqvcKcC1mpyCr/xlqxTWAgcfKBUylN6vJsx3cA1V4VoCwIz67U3VdjlmIl99GLttxvdpEwJr+KnFfyknO9WgBOYABNgAkxgWBOQv2TDGkGeDp67xQSYQN4SOLJgNHaFOhL2b4RQyB/gDi95SVgimjhZKObPKJoIMlMTTc3fkLvSQEGtgbKp3R86/G1iEuJj+UCYyRFU7GPAlcH5CEvhTn20P0hRPB+dMXKM2S11z044XngA7tt/DMd7L8B92w9R8PUzhWK308wncxtmIE2PNtLc/YGC+iVUMfPnj6QOZRc49/PQx4WX8YmBkmkUcYBRUAT/Fd9E11d+BVOpRYkJnFE1EqH5R5k5jpcehOP9F81wfzxXmYGxa/8QEUHmIiiiikkbde1nFIw42jjR9ejfUfDjq+H5v2vh+cWXoG5dF8nPRcDxwctQOqSB4uCxZ+eiSW6DCeSMQOjQqD30nDXKDQ0pAitXRx/XZ83sfv+Vr4OtqDBQWRXbX1K4x/e3rCRabuMmeR/y6hsqIqvbD0+ubLdkTZpo4HNXhuAML/x494MoM6tMqsflK6N17fbbyS59vIxptgkQe9n4cinHuSATYAJMgAkMKQLRX5QhNSweDBNgAkwgewRmuSox11WdsIGZrgqUqOE7/oQlYhPJtnqBYjOIHps9oLGdwQ6s8DdG+kCrYwtHRqIxAV+9Aj0Qk5SXkXFjjEi/EtkLjWTmSYBs/1JX1LVL4HrmbgomdMFZByZM7y2RtiMoGm1g9NEGPOLB2LtbQYe0hNJbVc4XBEKzDobv+39H58/uMzed1cdNQWi2SPvRXQj2YEpGVI38+6/8FvSw+SDXfX/ot8JbFUp1bdmHpnxStvsv+JIZJi/0xvto3w4onR3w/OpG0MaJjtefgCImdCD+1O0bzHTX0/8SMfmfKZ/eyEgky/HmU2ayXl6N0JzDzTB7TIAJMAEmIAmsWCGV0KNGAaTElqmDw7evcqcez5gRvQejuOUmT5DppHC/5z4Nb4dttxd4gIMO6F3hTnLo/u6AebLsunUK9uyh1PTcBx+peOQxFb/9owNvv6tiTXhlPtnOtzZotUscP172m9LWb5TnicLsmAATYAJMgAkQgQFTuBuGgU1bd+GDT1agbm8T9QVbd9ShvrHFDLPHBHogwFlMgAnkgIBfaGM/7Yp9YulqUkDmR+Kbd4iHoqJR0QeP+Py+xoNeINiRuYcYent+VK3szdJlmZMrJWbeN8KKWEsy2QXuuukXoE3tyMYupevT5gCFJRRM25HFoJIJsdU6duY/l9geD3yMzou56ez3bwedH6O8B9stcd0le/j+L/0Ehkuab3L/4ydAR1tcqd6j6uY1cD5+B1x3/VIUlucwcNY1MIrLEDzwOJEGFC15At4NHQjc8tcYxT5NEgRPvhSWPXTHiw/C8+PPQd2y1qzXX0/76BU47/9TNzHqplWRfgSPPatbPicwASbABIYzgb31Cuob5Pf5rJlSmTyYeNhN4NSOBGg1e6L+0wp1K52U7hR2u4Bzz9YR/mmkpF7d4YcZkTLvfqBFwqkESEH/wktSNdLeDrz6ugoy50N1J0+MyqW45VxOYErYdM769fI8WXl8zDgBFsgEmAATGHQE5K9Kjrvd4fXhqq/+Cmdc9T18/lu/w8eLV5k9+P3tD+Pab/zGDLPHBJgAE8hnArtDXmwKtsZ0cXFXPdb6m2PSBnOkTHWjWfdHhhDoAPYuBugYSQwHCoWyvXRyOJLBg088aDavz6BAIWraVPnQ2tCooKUtvx+QyNau6LL5r4+bCt/NfzFXUAcPOwm+//kTOn96LwJnfc7Mz4TnFHr7QPq63kw0Paxl6KMmInDlt0wGZJam8FvnwXXbD6EtettMS+aRQtz5xD9R8MMr4PnNl+F89VE0d0xAveNgBE68CHqlNG8VPOr0iIjxz16Jxl0ynRTt3lueQ/PFYhLnnGvR+aM7EZp1kFmWTNB4fn0TyNSNmdBHT924Cu57fgvHwteh7NgYI8XxyRuReOjwUyPhwRPgnjIBJsAEskdg5croPcrsWYmVvtlrvf+SJwlFNZliIXfAfHnvlUgq5dvTx4w2cOOXQthnRvI69vJWuLzMwP6zJaclnyloTfEej+yvP/xYVEFP7Vsy6TjOtpKd4nZnmZWhyZGPF6rwSkt/9iIcZgJMgAkwgWFKYEAU7s+/9iE2b9uFX3//esyeEd0p5YrzTsKGLTuxp37oKKyG6XXFwx5IAtx2TgiUqS481hbVBNPt/Zud21FNS71z0oPsN1KhuXGoZ2SkoZAP8O5S4XDTaJGTP80F2HT+GWnT/krzmtXRh9mMCM+wENpE0vvHJ+G/6lvo+uYfEG8P3BgxCqGps/vcaudexJiQcRYZqJhpwMjdKe5z34daxeCBxyK44NzIsBzLPoL7nz9Dwc0Xwvnsv6G0yrcB1cY9cL7yCDy/vAEeoRCnsNJQF6kXqp4A/bAFCJ52eSRNnz4nYrZG7WjDRP8DCE2eCf/n/xctWz0ICKWEIfQarS1V6PryL+E//0uRuq6n/gXPn/4HSktjJC3VAPXVffuPIsVdT98dCat12+B4/UkzTuZ34q9tM4M9JsAEmMAwJrB8lXxUpzfzKisG3w8zvVV47dUhkDvkIPEjk+RclojJ/hHVcnyHH6rji58PoaJcxpNUSZp8xOGhSN4HH6Z2j/fSKypIYU4Vjzlatk99Hj1K9mFyVF1BRWLc5PDGqZT43Asqfv07B8gsjrU6ntLZMYGsE+AGmAATyEsC8lc8x1178MlXcfl5J+LMkw5HWWlRpPWpk8aY4bp6+VBpRthjAkyACeQhAbK7PspRhI3hVe5PdWzEhcVTUal68rC3fe/Swe6owl11AFoBQKug+y4xvZqOYtGecOnV6rk02fm0bHGuWqP0XDgfcguKETzsZJDpkUx3x1evIOiNZUB2+pXYpEw3y/KSEPBfeKP55kJwwXkwyirNUkpbM5z//Q8KvnOR3Nz0B5eDVrWr22wTflUjQSZhfD/6J3wXfBnGEQu6XS+hI08z5ZGnj51iKta9LQWgjXNLJxlQVCDUpaB5rbgmTjgfvptvhV4u96pQ1y6F+66fU9UYR6vfaRPfmMRwhGy2u4SynfofToK27ENoG1aYUefz95tH8gInXUwHdkOMAA+HCTCBvhOgt/DqwnOps/ZNrqzuewv5VXPWvgauvCyEU07q31hpcmKy+E2j0S38RIWvi0JRRyvQb/2bhj/couFf/9Zw/0MqPhblqATZyT/+WNk+rbr/0hdCuPqKEEpLDMpO6MhUzumn6KC6VgEyi/Po49EV81Y6H5kAE2ACTGB4ERCPV7kfcCikw+USmpu4ppuaW82UynIxzW2G2GMCTIAJZJRARoWdVjgBTsiv0XOLJmMsaYcz2kJ+CXMUKqieo0N15q5f1orrTLc4Y7phitywUYHPZwaHpacHkNPzOSwhJxh02xYFHTuUBDkA2eb3X3gDOn/9MLpu+KkZtwoqe3ZaQVMhHzzuHHR968/oZP1YCQAAEABJREFU/Pl/4D/nWpBpmqrZBkri7PJTpeChJ9EBes1YdH311yB77fRZrthHfhYos1x8Llo2KDBCoh+TZsL3wzsQmjGPsqCuW2Yq/s2I8GjVPa1+d/3nj/B8/zI43nwa8PtFjvx33ftbqNs2mJHgYSfBoKWOIuZ46k4odduhLXxNxGDal4/fq8DMYI8JMAEmMIwJrFwV/Y3Yd2b0e3qoIlkgFN3TpmZmnEcdIZXmfnGPs3iJvE8nbgHxE/Wf+zXTLn5Li4LN4rd4zdpo/gXnih8/Kmhzlo12W1K34CEH67jhC0Hc+MUg5s6RY6hvUEAr57sV5gQmwARyTYDbYwIDRiD6C5PDLhw0dx88/PQb2L03+nqyt7MLf7zjUZCyvXZEZQ57w00xASbABPpGoFLzYNwQV7J/5q/HjmCHCUh1GiibIh8kzIRB7M202QVdO4w3uiocbaBgROw59e5S0L4t+qA/iE9z/nZdIPel8DJfaP/DQLb6fd/5K0JzjwRtxkqr333f+IOpkPdfdBNCU2alNE4y2RI44Xz4v/abiGkid4XoSFztsQt0hLrCiUUl8H/xxzDCtuBJyU4r1OlIq+4R/lOb9sL18F9R+LXTUXjDiabTFr1j5pJZJP9V30bwuPPMuLZ+Odx//5EZJi94yqV0YMcEhhkBHi4T6JmApXAfORKorur+Xd1z7eGdS0pyWulOFF54ScULL0uVx0OPa9i+U97fUL59VfqpJ+uwzNpQvb44Wu1+3tkhWKZo3vtAxTa+n+oLSq7DBJgAExgSBOSvT46H8uVrz0UgGMTxF34T7y1cjr/e/SSOOe9rePP9JfjpzddC0wakWzmmwM0xASbABPKMQILuNArN28ZgS4Kc3CV11omHoww/a06fZsAVXqm/Ks/tuGeTdEE14CiIbUHRYu26x+ZyrL8ExEcK3jqA9kRIVZY+cQa6hOK781cPgVa/69P3T1q1J/v7gfO/BD2sPE8mQHOLa6IwmmsUFKHrC/8bSXD95fuRle56xQj4r/wfGNWjIvn2AO0x0PX5H5pJgRMvhOESwkVMrdsmfMFATCjoYyaZYfaYABNgAkxAEqDNPi2b4rOGgTkZOerM+lddHkRNjZT5wYcqfv8nDevWiftJkTRjuo4brg+CVqX/9EfiKMKHHSJXxYvsfv+ff25U1uPPqKCV9v0WygKYABNgAtkgwDKzSkDNqvQkwivKSvD8fb/BzTdditOPPxSTJ4zGhWccg6fu/jmOO1y+upykKiczASbABJhADgnQ5rBtmd61NM3+NyxXEPSlWSmF4tOmyQeidesG5KcwhR4OTBFXKeCXFt4GpgNDvFXaqFZ1KaiYkZ2B7nhTfF68UqnQ1xZMkzLBaG194j4InHOdmaB0ec2jUVQK/1d/g+Dhp6DzZ/fCf/GXEdzvEASOPsMs67/me/B9849AUdhMoCgfPPEis67lBU693ArykQkwASYQITDcA4sWKbAsdO23b4ZXHAwTuEVFwLVXByOrzWkSg4ZOq9AvPE/e/1GcHK12p2OmHK2UP/F42UZjg4LXXuf7TDvbtWLi49nnVXwqrnMy82PP4zATYAJMYCgRGLBv/wKPC1dfeDJ++79fwt9//Q1T+T5t0tihxJbHwgSYABMY9AQmO0qxj7NiQMehugzQquBMd2Jm2HY1rTyim/9e5A/J7MaVCnSbYpUGqXkM1BxgoKeV0lSOXd8I+JsVkCkXZ0l2lCiZsMvvq1dQvzhWaR84+RKQeRgateFyoesrv4ReO46ipgseezb8N/4cgUu/BiobPHgBjPJqM8/ygidcABRKBXxo5gGglftWHh+ZABNgAkxAElj0mfz+HT/OQBWbk5FQ+uAXFgDXXB0CbYBK1QsLgcsvCUH8hFE0q47syI8ZLX/nP/hIzWpbg004mflZ+KmKp5/TsHW7vNatMeyuA5aI6/+TT2PTrXw+MgEmwARySKDfTQ3It/9Lby7EP+9/LqnrIu1Hv4fGApgAE2ACTKC/BMo1NyY7y/orpl/1C2sBRc38jfd02+Zcq9YMyM8hBvqvdSNAJmQQ9+cWcyxK5pHHtTI8o4W1BorHyIfwrBDQFaiO/sl3FBkIdHS/APzXfg9GWRW6bvoF9AnpL9E3PIXw/uEJeP/+ity4FfzHBJgAE2ACdgIbNyloFhOzlDZ3f50OcY6j6RBwu4ArLgth2jQDl18aQllZ/34f02n7iMOi58+yHZ9O/aFYliYfGhqj9xd1ZDbSNtBnhBL+iac1PPO8hgYx+W/L4iATYAJMYNARGBANwxvvL8Yd/3mum/vzPx8DOVa4D7rriDvMBJgAE8gagXLxkOQqzfwDkscDTJ4k5Q5HO+5kKUhzKciIYj1rZ3/oCfZUA6oT2POJgpBPyfgAx58iHvD7KdZZDOhB+dmwd9AoKYfvJ/+CPn2uPZnDTIAJMAEmkCECixZHH89nzer+PZyhZoaVGNqz50qhbB+XzcnuBETtm7LuDG/WmqDYkEp66x0VH32sYvFnClatVrF9R/SGxOcD3nw7en3TwHfviebHxz9eHJtH+eyYABNgAoOJQOw3Xo56/uvvX4+FL9zezZE995OPPRilxYUZ6QkLYQJMgAkwgf4RoEe9Zzs29U9IHteeMZ1GCHi9QHPLMLuxF8Ot3E8oZxOcnw7xgNS6QRRIkMdJmSFApnwC7ZmRlQ0p406Qn4142bRKPT6N40yACTABJtB/Ap1CIbl0ufztnS2U7QWe/sscbhLyabxVlQasc7hrtzyv+dS/TPdlxSoVr72h4vkXVTz5tIYHH1Fxx10a7rlPA5mKIWV8Z6dsld48oFCdTeFOK9qDAUqVbsmSAVFVycbZZwJMgAlkgEBefYtdfv6JeOnNj7GnvjkDQ2MRTIAJMAEm0F8C9HiwJtAMrxFn6Lu/gkX9Nzt34H3fLhHq+T/YoWRtE8/S0mjbnZ2JFYzREkMrRKusi0YlHpPmNtC5l85+4nxOTYtApLC3DmjbLLk6ChQEM3zNkd19I/EcSqQPHGACTIAJMIH8JLBsWfTRnM3J5Oc5SrdXtbXy3nI4rHBfvETe38QzIjNJt/3Dgfc+kNc32dSfP0/erOyyPQbs2h1bk5TznyyW/GJzOMYEmAATGBwE5LdenvS1KDwFvH3X3jzp0VDuBo+NCTABJpAagRLFiTbaiTG14imX+sC3GzVqATqMQI91fE0GWjdl5+fK44neyHd1JX5Q6LFzQzTTKSYi/K1DdHADOKzOOgWWzfyKfXQU1GS2M11NQN2HmfmskMmhLHzsMztglsYEmAATGEIEFoUVlkVFwPRp0fuTITTEYTeU0aPkeYxXJg8MiOy12tYGrF2nmA3M2c/ANVeFcOVlIcycIRXrZkbYO/XkEEbWSC6UVN8g69nNyxQUUA7w/ofyyD4TYAJMYDASyMxTWZoj//DTlXjyhXdi3L2PvoRv/+zvqCwvwX77TEpTIhdnAkyACTCBbBE4qWg8Ci0tYYYaWeNvwpEFo7Au2IKVItyTWM0FhHzRG/OeyqabV+COyvVlwZ52uv3JZfmuRqBtq3zIiW+XmI86UgetmI7P43jfCXQ1K3CFN2zT3AC5vkvrXlMXc1f05kL3nPRTvHuAxpVq+hXTrcHlmQATYALDmABtILl8uYJXXlOxc5dikpiTxNybmcneoCIwJqxwp07vGMJ23Bd/Fr1fOPKIECZNNDBtqoFLL9ZxwxeCmDFdKt7nzTUwqhaosS042B1e2b4rbHZnpMibP1eW37AZ2C3uR4gfOybABJjAYCMQ/WbMYc/vf+IV/PA3d8W43/ztQUwaPwq///GNcDodOewNN8UEuhPgFCbABKIEJjlKUaIKrXc0qd+hGa4KHOUZjWqtAPWhsEHHJFJpA0dXWZLMfiZ7CuTDLYnpzJJSn2Tno/MJ5W+wPTr++D46CgEleTb4Lz0CNHlRtb8OV2l69dIpbYQglPjRSaR06saXdRYrCLRlRla8bI4zASbABIYrgRUrFTzzX8O0a/2LXztwy181PPKEhnfeiz6WW8rG4cpoKI07ZuPU8ITKUBqfNZbF4bczaEU/KcytdDoSg8sv0XH950M4/jipSK+xrXCvC5swtBTuo2oNHHhA9P7jg49JSvYdt8AEmAATyDSB6C97piX3IO+P//dlfPrSHTHus9fuwh9/chMOmTezh5qcxQSYABNgAkOJwERHCcp6UeaT4rdin+iNdybH73JG5Q63Fe5kMkR1RcefSa4sqzsBmrxwl0fTaW+CPZ9k9jasaDRQtX9mzqmzWMjJbPeig+dQqgS4HBNgAkOIQHs7cPf9wGtvAWTXussfOzinE9h3Hz1m9W9sCY4NNgJVVQZc4rxSv603GCg8lNzWrQroTQ0aE61gp2MiN3a0gdIScW8hMokJbSorgqirA+izQY7itSMNUN7kSbLsJ58q8Acohx0TYAJMYHARGJBHKadDg8ftinEOTRtc5Li3TGDYEuCBDzcCGwItWOZvyNiwyZxMY8hnyhuhFeBwzygzPBBecXG01S7ZpWjCEA8V1gKFtled44fbvk1B02olPpnjGSJAkx2+zH2sMtSrqBjVAYw6XD7sRlM5xASYABNgAn0lsHmralZ1iO/XWvEbPGc/Aycs0HHFpSF84ysh/O/3grjkIrkC2CzI3pAgMGaM/C0dqgr3RTZzMvvvl/r1a9lxr6tTIuaU6ISPrJW8rFXuNDG1fAXfjxKbgXPcMhNgAn0hIH/1+1IzzTr/uO9Z3PT9P6fkvJ3DTOuRJksuzgSYABPIJQGfEcIaf3NGmmzV/XjBuxWVmicted5dCozU7+HTkk0PvlSh00/+8HHucgPOouTjJYVrsCN5PuekR6BxpQJvXbSO6hRh8UypB8UxQ//0GSGXIXEshgnkNwHuHRMYZAS2bJEd1sX9zBeuCeL8c0M4+kgd06cZqKgQPwgym/0hRqA2vLiBbJWHQkNrcIEAsCysDJ89y0BBGrf3NSMli6ZmBVu3RxXqZJaGcmbuo6OokELAwgy/ESilss8EmAATyC6BnCnc6VVqVXipuOwOmaUzASbABLJHYChKLlacaBeK8kyMbYW/EXPc1TGiVvmb0KEHYtLiI83rFQTa4lMzE/eEHw66OqM3+5mRPLil0JxIkOe/M3YSO/cocMRNcIw+RoeSwTuxxuUKOnZk7joOeoFQV8YQsCAmwASYwLAmsCW8wn3cWMBJk67DmsbwGby1cSrt5bKrLnO/0flAkFaeB8ILVtLde6C2JjqCz5ZKLmVlRkRpr6nA4YfIMrThbB1vniphsJ93BLhDTCAZAfE1liwrs+nXX3Em/vKLr6XkCtOZGs1sN1kaE2ACTIAJxBGodRTiiILMmH0Z7SjCHFdVTAurA03YGGyNSYuPOAqAbCl/3W65qszXJY/xbQ/VOJmLCfnkA06iMbrKDdQcNLyYJOKQiTRaxR4Skxeu4lhpdF1nUuEeEg+9iiNz58wrFAMtYrIrttccY1CDLyQAABAASURBVAJMYBAQ4C7mGQG/mLzcHX7LaeqkPOscdyerBEbVRsUPNbMyi5ZIdVJJsYEpk9O7/xg5Ilq+pUXej9bWRNOI2uGHynQKf/SxbIvC7JgAE2ACg4EAf2sNhrPEfWQCTIAJDCABt6JhmtO222Of+wJMcJQg3pxMlepBA2kje5BbNMqA6EYPJfqeZc3x+npQPvddev7W7DBf3zWSdlARzziaK2k2Z6RBQBF3W2MX6GnU6FtRIwRo7r7VTVTLWWQg0J4oh9OYABNgAkwgHQKbtogfgnCFqZOVcIgPw4HAiGoDDqcc6a5d0XPv9cq0werTRqlbtsrxHDDfAN03pjOWKuLiiK1RG7e+p1I8fuwz3TALfbZchd9vBtljAkxg0BAY3h2N/vLnkIPfH8Cf//kYLv7i/+G0K77TzbW1D/Jfnxyy5KaYABNgAoOdwHRXOSp60RIWjTFQEGuJJmPDtkzK+HwZEzkoBJGpkF6wD4pxDIZOksJddXXvaetGoHWTfFjtnpt+yshDDHgq06+XrIarDEjU72TlOZ0JMAEmMCgIDEAnN22WjSoKMIVXuEsYw8gfO1oqjWmFO9k9f/1NFb+/xYGVqwdEHZMR8ouXiIs5LGneXDm+cDTlQ41tlTtVsr8NQHFyhx4k2yHTNUuWDV5eNBZ2TIAJDC8CA/KNdddD/8U/738Oo0ZWYcv2Ohwyf18sOHI+9ja0gMzJOKwd7IbXueDRMgEmwATylsAL3i1o78XOem+dpw1TX+3c1q1YrVaIOa4sadO7tdY9wVMg03wDvGpG9iI3vqEDIw4QD0fyGSZpo7veVRD09lIoaW3O6I2A6lTgb+2t1MDl04TMiHniOhm4LnDLTIAJMIEhQWBreCXw6FGAO4NvIg0JOMNgEKNGyd/SXbuAW/6q4c23VQQDwBNPqWhsGpz3WUs+k/2eNNFARbkcX7qnsrY2tsbo2u5yZu9rgEzWUMlPPh0Q9RU1zY4JMAEmkDaB3r6x0haYSoU331uC6y49Db/83hfM4tdcfAq+9aWLcfNNl6BubyOcTs1MZ48JMAEmwATyg0Bd0Nur2Zfeerot2I6WPm6+SquxvWHbp721k25+gWXDfRhtmkorrgsTPNTEsyMzPsHO+FSOp0ug7iMVXU3da2keA6EMmjIiW/HdW+EUJsAEmAATiCfw8GMq3v9AxbZtUmkYn58s3tmHt+HIfvv2nbKddO1cJ+tHFtNZdBYIjAmvcCfRrW3yWqAwmUh5+NHBp/tYt16BNY55c3UaSp/cSJvN9gIPUJ5EcX8ALRIRLezeDaxYNSAqLNE6/zMBJsAE0iMwIN9WexubMX7MSBQWyOn9nXUNZq8PmTcTjc1tWLdxuxlnjwkwASbABPKDQInmQrsR6FdnSGlfoxYklPGpbw98ZIA6Ya5INBQ0LIs+oIiUjP27wqY+BrstzYwBsQnSxM80bcRpSxqg4OBulpTtzpLuY/BUA9Xz+v6gGi9x64uZv63ztyqgCa/4tjjOBJgAExisBPbsFUq7lSpefEXFP+/W8KOfOvD3Oxz4y20afvdHDT/9lQP/eVAFmbCwj3HpcgV/+JMD23ekdz+y1dwzRUqaPCG9urIW+4OdgN1UCq3WPvuMEA4+SP7+7xJK5BdeyvzvdzaZLf5M9tcj7hP3nWn0uakam8K9toeFIGQj3mrk4UdV/OEWDS+/qqIpydsBfE9v0eIjE2ACA0lAflPmuAeV5aXY09BstnrYgbPwylufmOEdu+rNo6oOSLfMttPyuDATYAJMYJgQOMozGqMdRf0a7T6uCsxzj0goY22wBduCbQnzKNFcCdwlHlL7fk9PYhI6y4Y7ZcY/XFPaUHSkRG1ZL3j2MrjqOQYKR2YBei/tDqXsoBfQ3AbUuI3BaIxky1fMZVGw344sPqnhTdn6LcwmoGMn0BY2hWBL5iATYAJMYNASqKtTuvWdlJ576xW0tSumqY+161Tc9W8N7e2y6Asvq3jsCQ3+APDQIyrSUehttn2HTp7Iv6mS6CD1+9jtEdUGCgqAY4/R8fUvh0AK5DNO1WEp4j/4SMWatYNDB0JveSxfIT9D+83S4erHvcco2z1mTwr3shIDxx+rwx1eJNPSouDd91XcebeKllbZF+vUPPOciltvc2D1msHB0+o3H5kAExh6BAbkW2jy+FF456OlJs2zTzoCDz39Os66+vv4/Ld+h+mTx2LGlHFmHntMgAkwASaQHwRqtAJUqO5IZ2g1+r/aVmFPKHV7I6SwL06iEawSshtCPb+nXT7NgB5UIn3IVIBeYbVkdfmt0NA+BsTcBrneRkkmZcj8TG/lOD85AUchMOa47CpYqHVSuDsKMt+OqwQIhhVO1A47JsAEmMBgJ1C3J3ovQQrQQw/WMWmCgYlhV1klv0tpg8vb79Rwx10aPvgw+thMpjQeTsMMyOYtsr2RNUCh+E0Y7Py4/30j8I2vBLFAKNydYaUxSbnovBAcTgoBTz6jgjZUlbH89ZcujX4W5vVznxf6PPz0R0GQO/UkvcdBH3O0jh98N4jzzw1hwnjDLEsTZPc9oMEXfoR46hkNnyySE2IPPKziqWc1kEknszB7TIAJMIEcE4h+W+aw4R9982r89RdfM1s886TD8dNvX4sJY0fipmvOxe2/+R8znb1BT4AHwASYwBAmsFVoa9tCfrzi3dptlD49hBe9W7ql95Swn6sa1UKp31OZ8ukGVKe8we6pXLp5HpuSsiuD9rTT7Ucq5TvrgU1P9/+nW5w6qLYHvlTa5jLZIbDrfQWBDCi0SbE/+ujMfz7cFeJzF51ryw4ElsoEmAATyCGBuvCeMDUjYCpATztFxzVXh3Bt2N14fQgzputmj1pblYgJmYpyA9OnyfRNQon+4svy97ijA1iyVDFXwJuVbB4pUK0NUydMkHVt2RwcRgTsb1Raw66qNnDiAnld0FsT1spxKz8bx/6+zbk4vFkqrdofOybmviMb3e0mc85+Bq77XAizZ8m29+wBHnxYw6OPa1i0RE5uWZUWLVbwt39o2BHeQ8FK5yMTYAJMIBcE5F1CLlqytbF4+XqEQvKHhZLPP/1o/EUo4G+8+myMHFFBSeyYABNgAkwgjwjsDnnxund7pEc7Qx2Y4axIuMKd8lb6m+A1gpHye0KdeKEHJfwooS2c6iyLlM9lgOxPWu11dlmh/Dx6qgBniYGgN/aBIt3eFogHvJIJ8kGlp7q+emDPJ2pPRTivFwK6+BgY0VuebqVVB/p9PrsJzWCC+Giict/er5UMNplhUSyOCTABJhBLoG6v/A2tsZmzsJdwOYHLL9FNsx9W+kTxm/nFL4RwxaU6Ro+S34nvf6jiT7dq+M0fHHjiKQ1k431VnBkLu733iRMsaXxkAlECB8zXYb1tufDT7N5zkXL6X/dqpmmkaA9SDzU3K6A3P6jG3Dnyc0DhgXAXnR8CfS6pbZoAWxY2c1M7ErjyshCsyYAm0ee7/61hW5K9F2jC7MFHVKzfIL8XSB47JsAEmEAmCGT3Gz1JDx955nUcd8HX8c2f/A0ffLICuj6wX9ZJusnJTCB7BFgyExhkBDQoWBNojvR6jqsKxxWOwUxXBbqMUCSdAg1CuX6YpxaFitAkUoJwtCK+v9/0XY1Al7hpFuIy+u/xRMVZr6RGU/IrpIhngRHzDBj9hEkbeDqLex+b5lYQ7OhnY703M6RL7HpXFQr15EN0iOsv2Nl/xqTUJ+V+8pY4hwkwASbABHxdQHP4XmLkiJ6/e2ljSzJjMV/87tLq98ICye+SC3VY9w6kzJOp0l++XPxQy6Dp721QQAp8ikwc38PsKxVgNywJ0PUxN7yBOk3Q7NqVPQzvfiBXez/5lNqnRtbalNLTpg789XzZxSHQSntrMLW1wOeuCmLaVAPXXxcy7b5THu29cN9/NOzcSbGoW7lKNe29r1qt4vkX+sYkKq2XEGczASYw7AgMyLfKz7/zefzvN67Cpq27TLvtp15+M+55+EU0NLUOuxPAA2YCTIAJDAYCZHu93QhEulqheeBWNJxSOME8RjJE4CDPSJDCXQQj/3UhL0Zq4SfVSGps4M3OHQiQ1jA2ORLztylo3xaJZizg8UQfuPNd4U6DdlcAzqJonyktW051GwjRZrXZamCIy6XLOdgpzlcPkxuVsw0Uj+s/iI4dChrDq7v6Ly1WQkcWH/5jW+JYrglwe0xguBHYY7PfTjbVexs/bdR4zpmhmGLl5QYuPE+mlZYYOPhA3bQBT4XWrFVi7HC//6Firiam1bbFPfwWUF12w5fAQfOj93Uff6plBURLi4IlYXMwK4Si+eVX1bTbWb9eVikpNkAryWVs4Hya+LrqCh1mf0jZfmUQ1sQY9YomzE48Xk4M0GTbPfc58OZbKh55XMMdd2p46FEVneI+jcoWFgHtGTDxR7LYMQEmwASIQPrfslSrn66stAiXnL0AT/7r53j0jp/gmMPm4G/3PIWjz/0qbv7Z7eiiKch+tsHVmQATGLQEuON5SKBAceD84ikw0lha/aJ3KzYH28zRHCKU8GSn3Ywk8TYHWhOaqLGKawVC+ZsFG+tuT3Q1WqfPai0/j02rFLTaVhf1tZfNaxQExARGb/U1FzD2BPmg0ltZzu9OINCuoKC6e7o9RRF3YuTsaX0J06apqrMvNXuv0/CZCl493zsnLsEEmED+E9htV7gnMSmTyihoBe3XvhzCt74Rwhmn6aDNV6kePcauWSe+2EVk2zYxEdog7zHmDrD5DdEd/s9jAtVVBqZMlkr3z5YpyMb96PsfyWvRwvDu+yoWfhqbZuUlO27cJK/taVOTlch9elmpgauuCOFzccp2qydHHaHjlBPlvSwp3V8XCneylb89bNed3jA441QdX7gmBJ4Us6jl/MgNMoEhSUB+Yw7g0PadPhHXXXo6rrrwJLMXz7/2IXxdfjPMHhNgAkyACeQPgcmOUiiKgtX+JrwslOnUs4aQDxsDLRQ0XQgG9obkUpFxjmJ80rXHTKcNUV29aBWnusqxJtBklk/kucsAt3ggSZTXn7QCl3zAIRldeb6a29rslFYy++VcBnU7beetU1KePOnltKXd9nCq4BIPgTUHyYe8bI+b5sK0LG1uKubbYNuSIdtDYflMIE8IcDeGIoE9dXJUThdQUR79/Zep6flVldH6kyYaKCqS9VeIyXEKLQ6vJqbw7Fm5+S2gttgNTgIHHSivp2AAWCImujM5Cq+4NV8Y3pNnzGgDpSWyrWef17BhY2pK902bFfj9sldTp8r6MjbwPr2tUtjDi7SHHxZVulu9HTUKOOwQHV/7chAH5+hezWqbj0yACQwPAgOmcA8EQ3j9vcW46ft/xoILv4Hb730G5556FB647X9RVhK+Wxke54BHyQSYABNInUAelNwUbAWZlKGukIL9ZW/UzssqoYx/p1MaSJzlqsQaEacyVLY3d5i7FmOFkj5ZOVImloVX/1hlaFVvf81duGxKynw3KUPjJQ5xGrpCAAAQAElEQVSqA+jcndoDksXKfiQ5qlA22NM4PHAEtmTAbmjZFAPksjGKolGGmErLhmSWyQSYABPILYG68Ar33uy396VXs2ZKpfqaNQq8XmD5CvmoPWuWEWPmoi+yuc7QJ7DvPnpEEf7RJ32/x0tEauFCFcGgzDn1JB2XXxKCQ9xLUsqDj2hI5f7Xvqno1CnyWqf6g8WR0v3iC3VzQ9UffDeIG74QxKkn6ygpGSwj4H4OWwI88EFLQN4F5Lj7jzzzBhZc8HV85Qe3YNuOPfjB167E+8/+DT//znWYs++UHPeGm2MCTIAJMIFUCLzVuQPbgu3YEezAGE1OjNZoBajXfdBpea0Qsl3k25XmP6g4ENsCbXi+Y7PI7flfUxRMd5b3XCgut2W9gvrFKkiBHJeVVrTAI4tbdhxlLP/8mgMNFNQY8FQLhXt93/tXNduAwzbR0JOkPQuF4kC+qNBTMc5LQIDst6diisVdbsAXNjuQQMyAJ1UKZZEj/BkZ8M5wB5gAE8gLAoO1E5YN99p+mJNJNvZZ+xpmFik2n3lOBZmvoIT5cwafcpL6zS73BA46QF5DjeKe4ImnNTQ29V/xTmaOPvhYqn3GjjUwfrwBWt193tkhc4C0an3pMplvJiTx1m+QZSZOEPehKd5DJhE1YMk0KUbmoNy86GTAzgE3zASGEwH5rZnjEX+4aBWOPnQO/vPXH+Dpe36By849nle15/gccHNMgAkwgXQJdBhB1AW9uKpkH4x2SIU7yTi5cDwoj8K0DnaKs4yCEbc91AEP2aSIpPQ90L5NAZlVIQmkzOzYpcBTZaBLWqKh5D45j0c+4Pj9/X+w6VMH0qxEYyaleXieI83aQAEpGlIcqioeqsJWgtJuZ7hX2PmOAkM+z/aIomAE0NXcY5FeM2nSyWCdTq+cuAATYAKDl0BdPyd/W1qViG3smprMcyCzMoWFUu7K1fIxm2xCk4JPprLPBHomMH9e9IecNjj98180PPq4hubmFG/aEogn8zT0xgVlHXNkVP5sMZleI+4/KH3hp/J6pXAi19EB7Notc6ZOkffMMsY+E2ACTGBACeR14z1/s2ap67/93y/iF9/9PObNnmbaA85SMyyWCTABJsAEMkigWHGi3Qgg3hb7Qe4alIR3azy1cAKqtNilsFuDbRip9WBYMa6P/25bDbINH5dsRr27lYhi0lcvle2lk82sfnkej3yQ6fTl90OEXcHuLIH4DUXW/2hlcyjPbdtnHUIfGgh1QZwfBWQCCL38lU01+m0OZs9CFf7mXhrqY3ZXkwIx19bH2lyNCTCB4U7g7ns1/OvfGt57v++Pnm+8peLe/2j9QlkXtt9OQkbWZOf3fva+pNCkFqSbu39sXKayzwQSEyDzJmTqhCZvrBLLVih45Im+f3YWL5H3uCOqDcyYHnvdH3ygvD5pMmvbDlnOatd+XLs+mjdtqqxjz+cwE2ACTIAJdCfQ92/u7rJSTnFo/btZSrkhLsgEmAATYAIZIzDPXY3Zzsq0bTlfVjwds91VKfdjpqsCC7tsT8W2mg6htw95ZYKrDKiYYaBghHA1Mq2vvrXCvSuPFcukbN/yfPSBJ+2xhisEvQoaxcNbONrroVw8nJHrtSAXiCFACvfisbl7KA0FgPC8V0w/MhFp3w507lUyIYplMAEmMMwIbNikgDZb3LxFwZKlap9G/9IrKkjh3taugOT0SYiotMf2PTaS3vQSaZn+t8zKWHLnzY1VcFrpfGQCyQiQuZdrrgrhqstDGFUrS23frmDJ0vR/h5cuU7Bjp6x35BHd70n2FxNCDqds49MeVrlvCJuTKSk2In2StdhnAkyACTCBZAT6dteTTFof0rkKE2ACTIAJDA4CJaoLb/l2YqW/MabDTUKz+GnXXjTqPtRlwPbIAa4abAi0xrRhRQpH67D2VXWVGohbTG8VS/toKdx9PvlQkraAHFQgkyGaK9q/QIeCXe+l/zMe7AAC7Tno8DBvwlUqJoRmpg4h6AP6YxJGUQyIj2jqDaZRUnUAqdiiT0MkF2UCTGCYEFi3Lvq7RatoyTSFfeh+vz3WPfzcf1W890H0t44UiN1LJU7ZsFFBu+33bvdu2RdSGhaKCfzEtfqXSiuTLbMyY8cYoFXF/ZM49GrziFIjQKZbrro8CI9bln/lVRXW52Wt+Fz9+vcO3Peghu09rEx/9Q352amuMjBvTvfJH5I9Zz+ZvnSFAp9PthXvr9sgPzvTpsbncJwJMAEmwASSEZDfwMlyOZ0JMAEmwASYgI3AzlAHRmthA6Xh9AKhjXvVuw2ve3egPgMKd9o89aay/cLSYw+eSqCgOjaNYq0bAb2Xh3Yql8wNBpMyRkAREwzyoQjiz1lkCAWtgZBPRNL4Jxv46SpmaXV9Gk0MxqID3ue2TQpahetrR0YfbSAV8zV9ke+uABwF0WuvLzK4DhNgAsOTACkG7SPftEW1R3HPfRrWrJXKvJgMEXnyGQ0ffxJbfsXK2PjDj2v47R8duPPu7m9QL16imqZs2tqEMPFft0e2UxteNSySsvL/3W8F8dMfBXH9dSls4pGVHrDQoUKgqAg4YYFuDofe8HjzbRUbNyt46FENZJedJrRWrZbXtVnI5r0vJqqaw7bfTzw++W/4gfOl/GAASLR56tZtCjo7peCpU5PLkSXYZwJMgAkwAYtA7B2LlcrHPCHA3WACTIAJ5A8BrxFEqdDUVmiemE55FA2kdN8QaMEYh3gyiMnNTqR9O9ASXm1DLfhbxMOA7VVxSkvHedzyAcKXxyvcHULBTkpV+7jEXAdopbs9rbewu9IA2QzvrZyVHxQPWTvCK6SsND4mJ1D3sQJfQ+KH3+S1AHeVga7G9Ov1JDNTeYW1BopGZ0oay2ECTGC4EGhqUlAf9324cVN09Dt3wlyde/9DGlasin0sfUQo0heHbU9XVRo49hipFOz0AavXyLItbQpWrJCr2EkpaG3qaLWwaTPM9kkZ3yQUj3XhTVdrRsjffKscH5lA/hDo3pODD9JhTRK9+76Ke+7VEAxGy9WFJ5KiKQB9Tt58R35O6E2LmfvIz4+9jBUeM9rAyJEy9nGcWRlS2D/ymJTjcABsv11yYp8JMAEmkAoB+e2ZSkkuwwSYABNgAsOaQKHiwNUl+yRkcHzBWMxwlaNcdSfM70siKfDj65FZi9aNCry7VDhLog/MtAK3qxl9/nOH5xCsV3X7LCjHFWsPM+ARitp0miU7+K6S1Gto4pSGulIvP1xLBr3A1hdUlE1B2ueEmBVUAX01KUNvIGT1HFEH2TEBJsAE0iRgX91eUS5/szdtViJSFi2JPoo+/KiKz5bJvAcfVrFcKNKpINmw/vw1IRx5uA6ni1IAMn1BoYULZXkKk9u2IyqPFOy0IpjSKfz3f2gUNF1NjeyLGWGPCQwCAmee1v1tiRHV8jrenWDbo7eFst0nJqdoaCefmFzZTvnkDj5Qyt8jJqWeelYDTWbRmyF336eiVUxsUZmLLwjBHf4MUpwdE2ACTIAJ9EwgelfSc7mM527YshPf/eUdOOvq72PBhd/A57/1O/z3tY+g6/KHI+MNssAhR4AHxASYQP4QmOWqxDlFkzPaofd9u7Ex2BojUxXPy42rFHTuRYxpmcJRQvFcGVM0rYjH9gDh7Uyras4Kk1IVA/ATqYg7BVpJT5MdORvsIGmIFOTWmxb04seYBXqflO00XEVc2yMP0SmYtgt5Fex+P1bxlLaQHiqQ2SJf7NYNPZTmLCbABJiAJLB2vfxeqqgwcMB8+QPW0KCAFHn+gFCcLxM/MLKo6T/+pIa//cOBVeEV7OPHG7j2c0GQWQ2XE9h3hpSxfLkCsgW/MG417vZtsj0Stnkz+VHn64qGa1nhHoXBoUFBYNxYA/YNeM8/N4S5YZvsra1KjO31lhYlsu/BjOk6JojPUW+D3H8/IzKhtWixgj/8ScNfb3eA3lKhuhecG8KM6fLzR/GBctwuE2ACTGAwEYi9y8lRz5et3mQq2p99+X3UjKjAgfvPwJr1W/Htn/0dt971eI56wc0wASbABJhAPhOY7CzFRn9LbBfFs7TDDYw6Wgcpgq1MTaSR0t2Kxx9pk9DdH4jK8RnhuLVpKkV9eWpWhlb2N8Xb6RTPPqT0pX6n6uo+VmCEUi0ty407UQcp3WUMZn1zAsBKGKZHuq46wpuV0fVI12EuUBD7jU+qCITtEoeE4koVyqhstU1mi5rXJP/8ZKvdQSKXu8kEmEACAqRQXxdWuO8jFOVTJhuRUhs2KVgpJs8tJfhJJ+goKZb5deHVutOmGbjq8hDsK2rnztEjMh5+TIvYlSZlPGVs206+dJvCtuJdYkL9iMOi9Sh31Cjy2TGBwUXgpONDoE1O6fNCG52OtE0c7a6L/kYv+SwaPvH42Gs/2Yjpc3bDF4QSf3/5OaRyneEFKGeeHsL+QiFPaeyYABNgAkwgdQIDonC//d6nMXbUCHzy4h248/ffxm//90t4+8lbcd2lp+Gf9z+H5pb21EfAJZkAE0hAgJOYwOAnsK+zEi5a9hs3lPJ9DGiOuMReok3iwb5ju1A064kLejzRh5OurujDRuLSA5Oq+wFNKA7srXc1A7s/SP2n3N8KhMSEQgKsdrE9hwWene+o8O5Sei43DHKDPoBM9GRqqGQWpqu5d64h8RA86jCgcaUsSxMojkIZzlRf7HJIma8Lpb49jcNMgAkwgZ4IbBJKdSt/ulCek51oUhZS2mahDP90kUpBlJYaprmYz1+jo7xM/MCI1P1nG7jy0hAsRbpIMv9JaV9cbAaxeYv8zisvN3D44bqZ2NAoV75TZOtW8oEJEwyQSY3TTtFx9FE6vnpTmjPOUgz7TGDACdCbHtdcFTQ/L9QZy647hffY7LhvCb/pQSZnakZQbmquusrAeeeE8LUvhyKr6Y8/TsdBB8jPZWpSuNTAEeCWmQATyDcC8k4nx71aunIDLjjjGBTY3uFXFAUXn73A7MnGrbvMI3tMgAkwASYwfAlUaG4cXdB9p8bisQa0sM11Ox3aSNVXLx/A7ekUphW6rnIg0EGx7s7tiT5M5OsKdyOkQA1v7orwH+1RG0wypnCRmINPKCM8ldGxxmT2EDFX0VvVBOKyqTo6+7FJbQ9NDaosmgApEcqcTHWaVsnXfSQA9yLQUQgU1OoYeYg8KWTHf8R8vZdafc92FACeqr7X55rDmAAPfdgSsFa3k9J8yiT5XTVxovyeWrZCwZat8rtuXtgsBpmdue5aHcccreOC85IrxfebLWVYYA85yMBEm8mMrdtV0/50Y5OUP2mCbPvQg3WcIJSHpFS06vKRCQw2AqNsb2eUlhgoCN8P7w6/GULj2Rz+bI0fT7H0XZW4Tzz3rBD+5xshHCMmqdKXwDWYABNgAkyACAyIwn3C2FosXLKa2o9xi5auNePlZeGlC2aMPSbABJhAZgmwtKFKQAEp3RONTg8aGC0e4p1CUZkov8CmyPZ1yYf0ROUGMq1SRkVicAAAEABJREFUKBmKx8b2gBS+EN01kusmYioU1QL0hkBMYgoRMifSslE0FC5bKOS4SmKVHuGsYXVwi0mcghqpzMnEwGkleeFIoGNnlHUm5PZXhuo0UDkrc+Psb3+4PhNgAvlPYM06+T02TUzQWr2dPEmGAn55JN9ul7pMKBCPP7bn35Y54reQ6pFzOIH583SMHR39fqKV7Zs2Ua50qdivliXZZwKDj0DtSHnt7w6vcN8u7h+CATmOCeN7/izJUsl9+jwmz+UcJjC4CHBvmcBAEBgQhfvZpxyB9xYux80/ux1PvvAO3nx/CX5320P47W0PYvaMSZg0TjzJDwQNbpMJMAEmwATyisCuoBcbA3F23JP00F0BdDUnzhx3ggHNDSQzpeIpkIoBiD+fTz68iOCg+Cf76snGFT8AzWPE2GKPz08WJ3Zk7oRsyNMmoWTPvTSze+Qma3rYpVfP1WHoBshOe6LB132kwtcQvV67mhR46xTwpraJaHEaE8hrAkO2c3v2Ai0t8ntq+vTobyqZhLEPmlafV1ZE8+15ycKjRwMLjtFBZmeOPUo3V/i6xO/7qPDj4/YdCraFV/g6XcC4senJT9YupzOBfCQwMqxw3yPuA6h/W7bIzx2FJ/ZxhTvVZccEmAATYAL9JzAgCvcLTj8GX//CBXj+tQ/xw9/chZu+/2fc88iLmDtrKm79+VehKNEfiv4PkSUwASbABJhA6gTyq6RLUfGCd2tKnXIWGaicJYr24dnaY1/h7svP3yBSqCZTwopRZ/WfFPVkQ751k4KyKX0AnNXeDZzwNvFgG+zMfPv0JkOiWyHTBn8XmXeJngN3hYHtrytoWZvd67aDbPZHm838oFkiE2ACQ4bA+vXRR8ypts1SyaZ0se1F5nnz9D6N+VihcCezM0cfGa0/bpwM79ipgDZlJcETxvGXFnFgN3QJWBun0ibFTWICfvMWOdbSEgPl5Xz9SxrsMwEm0DMBzs0WgejdULZaSCBXURR84fIz8MmLd+Dpu3+Bh//xY7z95K34yy++hpEjKhLU4CQmwASYABMYjgSqNA+C0NFC2t4UABSMEA8XcXpHPaAg5Ae6moC9nyb+2Su0mZrp8qXQ0AAU2f6aCiPYvWEyJ2PaWO+eFZPirQMalsbBiSmRPFI0Wih5qw1Uz5EKDSrpbwNaN/RNHtUfCq5lffbGT28U6OHXwi1WnXsUVMwQ17iVED5OvUBH6dTu6eHsjBwaVwChPDW3lJEBshAmwAQyRmDjZimK7KWXlMiw5ZMJmAqhCKTf3X1n9vC9ZVVI8Wgp14Pid9Ky3z4xbL89RRFcjAkMOgIjw292UMd31ynYskXe506cQCnsmAATYAJMYCAJyG/kHPQgGArB2+mDYVueV+BxYeqkMaYZmaqK0hz0gptgAkyACTCBwUbgrKJJCJBWuY8db1ypoHMPQBtN+oTSPZkYsgVLeeKnig4J3UAl0k8nISAb3/F9aNumoEmMMT49Pu6rV+AsiU9NPV48FiDFu1XDJWSRiRlkTl9iiR40R1rd7ijITnfJjM/2NxTULwO84vqlVsqEUr0g/Po4xS1H14Vpz99KyMJRc4qJq8AwPtlZYMoimcBQJBAS87Kbwkq/SRO7f2fQxqXf+GoI3/1WEC5n5giME79R8dJY4R5PhONDjYB9/4KlywFflxzheJ5skiDYZwJMgAn0k0B/qqv9qZxO3Xc/WoaDTv0Stu7Yg2/+5G+YdeznkrqWto50RHNZJsAEmAATGMIEJjlKUa2lptXsahLK51Wxq44DbQacxYppw52U1vGrhhH+KwiblfHl4SpeWuBPEwbhrsYcnIUGAin8bPoaATI/ElO5n5GCmqgyuJ+iBl11MvFTtb+R1X6PXWDAVOjHXtJZbTOZ8MLRBpSc3TUm6wWnMwEmkO8EdmxXYG2KOjmHe32Q+YySYiOCx+EAxoyJxiMZQyPAo2ACEQJVlfI6X7Ey+iM9MWxiKVKIA0yACTABJpBzAtFv5Sw3PX7sSHzxyjNRVlKEM086HN/98mVJncftynJvWDwTYAJMgAkMRQIOoXxuFw/7MWMTv3TO8EP42ON1KOIhPCY/HPF4ZCAfN02l1c5jjtVlB+N8ZzGgh+ISE0RHHWnAXZ4gox9JVfsZ5mSGFDG8fFVcRyXj5UNutkZObZRPBQpHZKuF1OWWTxPnuij18lySCTCB4UnAsp9Oo580MfHvFuVlw423mdEYP86AJn7/s9EOy2QC+UTA2jjV6pPLCdTUWDE+MgEmwASYwEARyNltyOTxo/DV685HeVkxjjt8Hq684KSkzk2/EpkiwnKYABNgAkxg0BN4umMTgikYKifFtKoBQW90yKMON0CKS0qho5JktbDbTSUAX55umip7192nle80xu45sSnJxh1bKr2Y5iElbHaVzun1iEszASbABJjAQBLYuEn+yNbWAoWpvZyWse6OHxv9PZrEJjUyxnXQCRpmHa6NU65PmqQPMwI8XCbABJhAfhLImcI9P4fPvWICTIAJMIHBQGBrsA1tZFclhc7WHq5D7cOLUgVhxUBX2P5lCk3lrAjNNZAJk742SPXJ9bU+1+tOwLdXAW1E2z0nccpgTyVzTYH2wT4K7j8TYALZJOD3A1u2SoX75Byvbqdx7TPDwLHH6Kabva9BSeyYwJAnYN84lQY7cTz57JgAE2ACTGCgCeRM4d6b3Xa7TXe24Z6zy4IbYgJMgAkMCgJFihMdRjClvmoeRFa0h4Ty3L7avWMn0LBUSSjHWuHe6UuYPaCJHTsUNK5I3G/qWFD0uSeF+p6FCnyNyeuTjL66lnUK2nf0tfbgrdexGwjlob3/bBH1ivF667JzDWWrzyyXCTCB3BLYvCX6HTEpwYap2e5NRbmBBULhTq6qmhXu2ebN8vODwMia2Gu9lw1T86PT3AsmwASYwDAgkDOFe2922+023dmG+zC48niITIAJMIE0CJxUOA5lfVi23rJBgXd3VAHgKFTgb03ccGTT1Dw0KRPyA1oPq/ab1yggpXyikflbAN2voCBLygcyK+Orz9ntRKIhDkgaTeSYG5oOSOu5b1R1iusokK12WS4TYAJDgcCGzUpkGGzSJYKCA0wgqwQqKww4w/eIDgcwelSsAj6rjbNwJsAEmAATSEogZ0/Ivdltt9t0d7MN96QnjDNySICbYgJMIG8IjHUUoyRVhbt4ztj+mvx5C3YocBSJhPBInMUGAiItHI05FBTKaGenPOaTb4QAR7h/ifpFit9gkn7TquSRh0YZJKrfnzRnERDs6I+EwVm3eDzgLs8e13yjQmN1Fudbr7g/TIAJ5BOBTZtUszu0YakrvC+KmcAeE2ACWSVw4gIdc/c3cNABOm8W3B/SXJcJMAEmkEEC8q4ogwJTFdXlD+DJF97Br//6AH78+7vxz/ufw7ade1KtzuWYABNgAkyACSQmoACq04C/VYHiMOAqixajTVPHnZR4MylXeHUQlSY7tHTMF1c+3UBJDxvAucoMkFI+UX+pLvFIlJeJNHcFMGJ+YqaZkJ+vMopGGeI6y9feZb5fnmqg2LYhYeZbYInJCHA6ExgMBLxi0nf3btnTiQNgTka2zD4TGJ4EDj1Yx3nnhHDqyfrwBMCjZgJMgAnkIYEBUbjXN7bgrKu/jx/+5i7c99jL+O9rH+HP/3wMp1x2M156c2EeYuIuMQEmEEeAo0wgpwQ2BlvxaVfqk7LucqCrycCIeQYcntiuKkps3Ip53FYI6BxktrkLRwIVM43oAHIZEjzJbn4um+S2mAATYAJMIL8IbNwgfgzCXRoI++3hpvnABJgAE2AC2SHAUpkAE0iTwIAo3G+583E0Nrfh37d8D4te/icWvnA7nr33Vzj28Ln45k/+hk6fP81hcHEmwASYABMYygS69BA2BFpSHmLlfgZKxicpLvTShnDxuZ6CaGKXLxqOLzcQcV38LPa0KWqiPu16TwXZGU+Ux2n9I0Dme5rXRZVL/ZM2OGqHusREVOpzXoNjUNzLIUCAh5AvBOr2Rr8Tx/PbMPlyWrgfTIAJMAEmwASYwAARGBCF+3sLl+HScxbgwDkzYNlrnzx+FL5y7Xkmhg1bdphH9pgAE2ACg5IAdzrjBIpVJzqMYMpyaRV7SCipu5q7V2nZoKB5TVQxYJWwr3D3+brnW+UG4mgqzzt7btnfKvIN4cT/3sUKSiboPdp9F8Uy9t+4XEHHzvxilrHBJRDU2WTA3zJ8xksISOHetHpAbhupeXZMgAnkOYFPF8vvh6lTDDided5Z7h4TYAJMgAkwgUwSYFlMIAEBeWeUICObSWUlRWht83ZrIlFat0KcwASYABNgAsOOwEitAMcUjElr3O1bFXh3dVeK0saPgY7uomIV7t3zM5GiB4SUsFJchFL+p8kDzdVz8folCvxtCrqaFZQJhUfx2J7LZzJXnB6hgM6kxPyWFRC3MA7bGxH53dvM9I72P0hjziszjbIUJsAE+kUgV5U3bFTQ3i5bmz1LlwH2mQATYAJMgAkwASYwjAkMiML9qEP2x6PPvWm6Ldvr0NLWgdffW4w/3P4wKstLMGPK+GF8SnjoTIAJMIEhTaBPg3MpGiY7StOq2yIUAIqjexVnkYFQgtXiHk9UE+7zda+Xaoq/BfA1JC7dKvrUsr77JEDi0uFU0S1Sdqq9rBh0FMI0IeMuN+BKD1W4ob4fnEVAokmMvkvM75oFVUDxeHFi8rubGe2d6gIKRg6vMWcUIAtjAkOYwNLl8pFSE4fZA7WfyBDmy0NjAkyACTABJjCICQzbrovbotyP/Yarz8ERB83GT35/D0674js4/Myb8JUf3IKddfW45WdfhdOh5b5T3CITYAJMgAkMKQLjT9ZRPq27gtBZAow6snu62xNVhPv6sWlq0yoVLWujsggqmbAhJXzhaAPt6VpNE6LGHt/7isGCEYDeezHqTsYdKWJHzO/ONOMN5YnAggoFLnEd5Ul3ctINmvSpnJXdc9y6UUXDMjUn4+FGmAATyAyBUAhYsUL8UAlx06frcLlFYFD8cyeZABNgAkyACTABJpA9Ajl7qnnpzY/x8lufmCNRVQV/+9U38J+//gA//ubV+PYNlwhF+1fw0oO/w/z9ppll2GMCTIAJMAEmYCfwXMdmtNHuofbEDIYLbCZC/P6+C6ZV9TWHRBWTzaR8F7oITxVMJa27sofV4H1vFiUTDBQLhX4/RPS5KtnMV3J2R9HnbnLFPCfgLNGhBwy0bREfmDzvK3ePCTABSWDNOhV+MpcmovvNFh7/MwEmwASYABNgAkyACSClx+NMcHr46Tewcu1mU9S3/u823PnAc5g3exouOus4fO7iU3DCUQegsMBj5rPHBJgAE2ACTCCewN5QJ5ozpHDXg0J6VCcuIkIZbjPZ0h+Fe82BOizlc9ALkK3v8unRxqr3N0AmWMxGU/AMHSAb7ikU5SI5IrBrkQHzGspRe/nSTMdOwAhlrzf0lga9KUGTR9lrhSUzAUA70FEAABAASURBVCaQSQJLl0lpLvEbOmOa+MGSUfYHOQHuPhNgAkyACTABJtA/Amr/qqdee8rE0Vi+ZhN0Pap0SL02l2QCTIAJMIHhTqBYdaLd3HW0/yTqPlTQ1dJ9Fa1TKAxIeiC8Wo/C/XGOQqCon5uXeuuAxkFgZqPuYwWde7oz7Q+/uLp5EaUJkOYtBsjESl50KIedaFmvDitb/TlEy00xgawQ2LMX+GyZgobG7Hw3+7qAlavk4+TMmQas39CsDIaFMgEmwASYABNgAkxgEBGQd0g56PCZJx6ODz5ZgUNOvwEfLlqFB554FVd+5ZcJXYe3H7vV5WAssU1wjAkwASbABHJB4NiCMRjtKMpIU7QBZKLF8payoK8K965GmBuX2jupJNBzkBI9lOJPnR5QoLryf7LaVazA346s/IWEUocEBzsBPUOTISSvL4764CxIcFL7ImyQ1VE0A0YoO2M3xCXeGLYDTVjo81m/JGe3qdQkOyYw5Ag89bSGx5/UcMtfNWzfmfnP7urVUZn7z9aHHD8eEBNITIBTmQATYAJMgAn0TiBnTzL77zsFz937K9xw9VnwuJ2oKCvBmFHVCZ2iRG/ewH9MgAkwASbABASBEVoBykhTLsL9/aeV53pQaPjiBLmcMs0vlNxxWSlF6z9TQYrD3gqTsr2JbLv3VpDyRZccBRTIb+csMRDyZr6PpHS1Vs77mxU0LB3YewSy0T/6wIHtQ0LKOUgsHgOQ0h1Z+AuIyRpffZQrcSYTNlloikUygWFB4ONP1Bgl+84sKNw/C799RVZBp00VP1bDgiwPkgkwASbABJgAE2ACvRPImcKdujJp/Chce8lp+N5XrsAPv34Vfv396xO6wgI3FWc3BAjwEJgAE2AC+UigaraBotHde+ZySYVfgGy8d8/uMUUXSvpQwEAq9tmLxwLeOOUHmSpJ1ADZsy4bBIqM4nEGKgXXRGPoa1rTKsVc3U+yIf4KRxnw7hbnaAD1Og5xi1JYLTozDP9LJhpwlWZn4EGvAkdh9MTSPgiKNvBvNGRntCyVCWSXQFsb8PKrsY95O3eJ784MNrtxs4ING6XM/fbj1e0ZRMuimMCgJsCdZwJMgAkwAUkg9k5MpmXd/3jxKqzbtK1bO2s2bMOCC7+BphZxl9gtlxOYABNgAkxgOBPYHmzHm507sorA4ZAKv4A//WaCPgMVM1KrR4rE6vl6xPxM/WcKGpZJxUVqEoZ+KdqU1FMJVO4rz4k14goR9zVaMT4OFQLOQiB+Ymn0kQbos5KBMbIIJjCsCLzwsgZ/3O9YJle4B4PA08/Ix0iHEzjiMGNY8eXBMgEmwASYABNgAkygNwLyTqm3UhnOb2hqQWu7t5vUyvIS1O1twu49/CTdDQ4nDEECPCQmwATSIaBAwYZASzpVkpal1eSk0I0v4HLJlHhFhUzt2XeVALQavedS0dzCGoBM21BK6WQDXU0KBbs5sl9uhLol52VCIqZ97ShtSlowsrsSp3SSAU9VX6X2r17LBgVN6/snI9e1l3TtRVeGTkxXswJ/a3ZGQCaJ3BWxsh1FBmile2wqx5gAE+iJwKbNCpaH90OYIn5bjj5Srj7fXddTrfTy3nhLRZP4PqBaJxyro6LcoCA7JsAEmAAT6JEAZzIBJjCcCKi5HOyqdVuwdOUGNLW0Y+fuBjNMcXKLlq3FHf951uzOxHGjzCN7TIAJMAEmwAQsAoVCA9thBK1ov460aWn9ku4KbqdTig0G5DFXPtloLxiRWGGx5xM1a0rOTI+v7kMFpJTtr9xkEyL9ldvf+s1rFJRP7q+U3NXvFJ+Xu9pWY0MwM1pyXz3QEWcKKXej4ZayRoAF5y2Bt99V8fyLKp58RsPDj6q47wEtokxP1umnnpWPd04XcM5ZOkbbHqu27ej+u5dMTrJ0Uty/855sY+xoA4cfJhX6ycpzOhNgAkyACTABJsAEhiMBebeUo5Ff/+3f49Ibf4bFy9fhif++bYYpTu7Kr/wSL77xMb594yUo8Ig7xBz1iZthAkwgPwlwr5hAPIFy1Y2zCyfFJ/cprrkU6AmU6i6nVHr7g+krJZrXiTqyetp9EnMJqJyVuLLuN0D9TVvoAFRwFCFiJqcvzQfaFFOhu/UFtceVzZ17SLHflxb6Xqd9O0DmbQbTiusCxYHvlM9DAHrfB26rqToMGH34bNhEJA02rlDEZ1J8hmwlmlYr8NbFptmyOcgEBhWBpcvTu5a7/MCrr6v46GMVi8UE8YpVKtatV/DiyyoCCX6/CMarb6hoCr8tddICHWWlBkYLpTjlkdvVzwmz7UJh//SzGoky3TlnDZLXr8zesscEmAATYAL5TID7xgSGGgE1lwO658/fxeN3/hTz95uOi846zgxTnNwz//4l3nriVnzuolNy2SVuiwkwASbABAYJAVJVTHCWZKS3mpuU2yQxVpxTKOIpJRCgfAql5sjMhpc2pOsuMjUBPZQSOlOoZn97KJQnWe4yINjZ986Q5ZO2rcDoY/QeFe5k15s2VO17S73XNOIuAdroljYN7b1mfpUY6yjGHFd1RjrlKgdcZVEwrZuUbkryvjREbzS0bVGghie8YP3pCgIdVoSPTKA7gU5f97QMp2REXIe4jh97QsNLr6T+6LW3PvqDMqoWIEedaW1T8MFH3eVQ+bffkeljxxg45GCdiqNcfGYLC80gdtDvlAym7G8Wn81//0fDT3/lwB13adgRVtofe7SOmpqUxXBBJsAEmAATYAJMgAkMKwLyrixHQ54ycQz2mToexx42F4UFbjNMcXJTJoyGqkZvLHPUJW6GCTABJjAICXCX+0vAWQzUJngN3umQysRAIL3fo64mwN1PG7ZkqoMUzvFjG32UAVoBH5+ej3GyRV82RTJMp38731JBturdFQZqDzVA56en+p4qQyhiFYSyqGxrXK5ixxsq9ixU4W/rqTf5m7cj2IEg0j8fyUbkFgr34nFSnr9VQfs2oH2HcNvT+7zEyyeluqNQyrXnqS4Dut+ewmEmECXw7HMqfvVbB557QQUpm6M5+Rf6SHyPUK/e+0DFoiXRz4tPfIf97R9CkX2n1k2JvncP1ZDu0otCuOH6ICrFdx+lvCUU614vhaLu6bApGUqJX3k+epT8fPVl49R331ewYaMCu6m1SRMMLDhWp6bYMQEmwASYABNgAlknwA0MRgI5VbhbgNZs2Ip1G7dbUT4yASbABJgAE0iJwAveLdgT6scS6l5asWy4p7tpqqMQoM08exHfY3bbZgWB1h6LDJpM726pjKWJiFQ6TQptzZ1KyWiZkQfrMEJRxVU0JzOhqv101Ig2isfrPa62z0xrmZfSpHfhiY4NcEDBlmAb1gcys+Gw1dOOnUDRaKB4jAEyB2Ol9+WoOYHq/aVC0F6f3ijo7+fKLo/DQ4fAosUKFi6SjzEfC2X2X27TQKuwN2/J3ndCX+n5A8DHn8i+koynntFg9fOBhzXU1QHbdyqw7KJTGXJ79sqx0O9SeXhC95QT5OckIGS++XZU5qeLFGzdJssfe4z47hpBEqJudNisTJ1Q4lN/ojk9h8iszdp1sp19Zui45EId3/12ENdcHZIV2WcCTIAJMAEmwASYABNISEDeQSXMyl7i/P2nY/Hy9QiG+GYte5RZMhNgAkxg6BFo1wNo6GVZc6qjphXV8WZDXC5ZOx2FO5nDKBDKjf5au1FF2yGhRJE9kD7JDsatYpQ5+e2L0wRfo4qGZSpo9XJPvaXT6fD0VCJxnqsUcBRJ5VPiEv1PdRYBhSMBOvZfWm4lbPC3YIqzzGy0WHXiJe9WM9wfj1abk6KdZHgqDZRMNCBEo2SCYa52p/S+OE2cf3dl95r0Zke6EzHdpXDKUCOwU0z2PBW2I15QALjFdyeNkVZh/+cBDW1tFMsft2SpivjV6A8KRft9D0YV79Tb9naAHIXJWav2R1RHv+dI6U2ryyn/w49Vc+U5map5+jmNklBdZWCBULibEZs3xrZxap2YELVl9RhcR3uThEscebiBfWfqKBTMw0l8YAJMgAkwASbABJjAgBPI1w6oA9Gxg+buYzZ7x3+ew6p1W7q5UEg389ljAkyACTABJmAnUCS0ex1GwJ7U5/Cu9xWEOuWKQEuI02mFej92NQNkbqQ3hXLvkmSJwloDtNJXxqQvdKbYu3hAfqplB/rok9mR6jk6Rh+tozdlteoGRvfRNAFNSHSFNwjsY1e7VaPz2bqxW/KgSwjBwNyw7fYqVWi0xQj6O1lFJo8s2/kFNQApxIVYVOxjoHgchaKOzk00xqHhRIBMpqSzijodNqS4fuARLVLl8ktCuPmbQZx8gm6mUbsvvBzNNxNz6NHK84ZGJabFDz6QcVKcX3qx7CfZnreU2VVi8sqqULdHlqX4nr3ko5ud9FNOji5YolX91masDgdwzllSvqwZ9UeHV7hTSjp23Fetlr8/ZAN+fNicFMlglxIBLsQEmAATYAJMgAkMYwLyLirHAP58x6PwijvNv939JC74wo+7uXZv9swF5Hio3BwTYAJMgAlkkMARnlGY6pCrdvsrlpTboTj70C6bwr2nnyKyX733UxVkbsRV0t+eyPrFYw3Er/Kl/mnh1ZuyVH/9/KuvCP2S6uhbvxRxF2MI3dPuD4WQvonoVqt5rQLNkzl5GKC/QzwjMdpRFGn9/OIpQD+HRW9h6MHkQkjJ3rYFoPPhs2342N6LFcHmNQr8Ccwp0eRH3UfJ2wP/5R2BdesVkMmUV14TH84M987fBTz8mIbWVnlNnHqyDlICO8V35BGH66DV39Tk8hWKufKbwrlw6zcooPHe8S8NP/uVA7f8VcOSz2QfV69RYSngjzhMx8wZeswKdNoI9arLo0ryujpZj96yam6WYVLU28dBdebOia56p7wDD9Dxja8ETR4Uj3dlpQZIaU7pO3dJuRS2u7ffVfHCS7Hnbe06WXammFSzl+UwE2ACTIAJMAEmwASYQM8EYu+qei6bsdxv3XAJHvr7j6IuLlxUKFdiZaxBFsQEmAATYAJDgkCZ0PiVa+7IWN7x7cTHXXWReDoB2piTlLX2Ok5nVIkRCEhFgz3fCmtuAyMP1U1zI1ZaNo6kwHSWRPuUjTayKZPM9gS9yTlmom1PtYGCkUDTyt7bIRNC219TsPk5FbpQ1FP7IV+0nh4EOvcoKLKtBqUyQ8HVaoWwVrr3dTw0MUITQ7s/UEDnNl5Oi1C2drUoKJ8KFNREr1vvLhWUF1/einfsUCKr5WH7U8UEmF/IsyVxMI8JkGL5EaEQpy5+ROZONkU/W5TWH0dmZP52h4ZNm6VMMm1y2CFRRTXJPuM0A5ZZsGeez+wjzhoxEbdjp2yb2iLX2KTgnvs03Hu/Ztpf327bPPiJpzW89oaK98RnhcoWibmv+fPkZ4JsrM+YrqNUKMGvuDSIioqoMnx3WOFumZOhujUjyI91xy/QQSva959t4JtfC+Gs03WU9DL5Oyb8vbZjR6ys+gYFd9yp4dWg14u1AAAQAElEQVTXVXPjVrInTyVI2U423Cm8j+gvHdkxgYwRYEFMgAkwASbABIY4gczejaYIa8LYkdhv5uSkzqFpKUriYkyACTABJjCcCXzg2439XFV9QlA914CnSipALAH2Fe6BgJXa/Ug6/95MpXSv1XNKoB2wrwqm0kWjYJrroPBgdKQsbVjec89bNyigVeU9l+o5t2ySgbJpBkih3lNJamvEfAMTz9Chhm816C2C1rBikCZgxiSwf9yTzHzM2xFsx5ZAW1a6RqaPiDN9BuIbKJ9uoHp/AzQJYs8jJb2/xZ5iCxtAsBNwFNrSwkHNBdD5CUf5kMcESDFLdsnpaHXzyadU+LqsWN+P776v4vY7HWgSCm6SMnasgfMSmE4pFZOTp5woZ9Ko7OtvqVS8347M2Dz8uIZ/CKX0r3/vACnTX3xZxV//rmFj+LujuBiYuY+OY4/WQWFq9K13VGzZqlAQhxykm0fLu/A8HVddHoooyUfVig+CyNxlKdzD5mREkmmXnY52VybG+q2vB3HBeSGUl8m69vxEYcusDCnzaQU9lXlPsL31bxosJTulPRO2B79qjeTnFBNfk8V3LOWxYwJMgAkwASbABJgAE0iNgLyTSq1sRktt2LIT3/3lHTjr6u9jwYXfwOe/9Tv897WPoOup3TRmtDP5LYx7xwSYABNgAmECe0KdeLZjkxlbH2jB/kLZTr8afloKbqb2z3O6pHKEpAQCJJlCuXFkPqM1vHozNy1mvxXNY8C+gjxRiwGhbE2kvE1Utqc0Wg1N5ml6KlM21YC7IraEq9RA0AuQ3Xbqh+aJzR+Msdc6t0NXul+/n3TtwdPi8+OjmYU+Dsy7S0HR6PQqkwKeNlZNVIveNKg9vHtfrbJjFwhFZfJsqxgfB5jAfQ+FYNkcHz1KnrDWNgX/fSE8s9XH/j37vIqXX40+rpBC+/prQ3C5Ews88AAxoTZBtv+mULhvzMB3KplaCQZke6R8J3Mx73+oIhgEPOL74pyzQqYd+Usv0rHgWB1fvC4UY3edVqIffKAuBYR9WolvX7leO1L2uS78wtaevfK3iOpWxU0Mh0VETMRY8d6O9o1Tb71Nw49+6sBLNraWUn33buD9D1SsWi37MHWKDlK69yaf85kAE8gYARbEBJgAE2ACQ4BA9A42h4NZtnqTqWh/9uX3UTOiAgfuPwNr1m/Ft3/2d9x61+M57Ak3xQSYABNgAoOJgFNRsSkoV+5OdZbhlMIJ2CgU7895N6c9DDIfooeVKFZlp1MqPSge8EtlA4XjHW0c6WuIT+1fXHUCuj9WBpntoH7Gpg6emKMACVcu20cQ8gGqK8rdnpdOmFZdx5/PVOtXzjJg9NfAeaqNZbmcIUBsDrRhkqO0W0sHuEagSHHglubP0GaD9Zm/HhuDrd3KxybIWOVsA6UTDRlJ0adr21OduLDqgJgESS7PXPmuJK7LqZklQKueyYzI8uUKPl2kmErX995X4RWTYslaoryXXlWwaKksUVsLXPu5EGbtKxXMS5YqQnGrysw0/TeEwnzhp7JuWZmBz18TMhXavYk5+0wdDvF9SuUeflSDZQud4um69nbg409kH8gEzITxBlxh2WQz/qs3BjF/buz1K/saxKTw52TuHL1X5fio8CQF9W+3ULrvCa9wr+rbC1wkppuzVrhThmUHn8L0ZsA1V4XwuStDGBs2O/PiK+K8eykX2GdG7PhkKvtMgAkwASbABJgAE2ACPRGQd5A9lchC3u33Po2xo0bgkxfvwJ2//zZ++79fwttP3orrLj0N/7z/OTS3iLvbLLTLIocgAR4SE2ACw4pAiepCe5xWepqzHOv8zWlz6NgBkOLcXtG+ii8QtOfEhn2NCoTuPzaxnzEyUeMZEavYaFyuojOseOmn+AGpTorWmriVnfEdIRMvhUJJF5+eblxRgF1COSh0zd2qksmazvCK0W6Z4YSyybHsw8mD7tBq+HFR8dSE/VYUBScUjsN3KubDZbuAdwe9eLp9o5jMSk3pnlA4Jw56AmSj/D8PanjkCQ1PP6eBlK60AvqWvzhM5bs1QFII06rvf96t4de/c+DNt+XjREEBcNlFIZBC+szT9YhplSefVvHQoyoWf6b0qLy35NORlNykcKdwVaWBG74QSrohKJWxOyp/3lnStEynmCx44GENAb+9ROrhd95TzZXsVOPiC3RcJyYTfvi9IL78pSAuuzg6Rsq3O48bICX23DkGDj+09++WGtt3/+46BWT2heTVVPdel8ql4kixXlwsS44dY+CQg3WcKzjddEMoMjlwxmmSmywl/RnTM9cHKZF9JsAEmEA/CHBVJsAEmMAgISDvkHPc2aUrN+CCM45BgccVaVlRFFx89gIzvnHrLvPIHhNgAkyACTABOwEHFFxbui92BNpRH+o0s9yKhjnuKtSFwsvxzNTePVX8BOkBoaW1FbWvcPf3sMJd7wLI/Iitar+DJK98WqxiI+Q3oLmUfsvOZwGk9xW3ABnpIm122hG3sWGnUF4JfTIKbAqtjDSWp0LKVDf2ccXZzUnQV7f43FjJJxeOxxUlMxB79Vm5mTk2LFUQ/3kjyWQ/37sr+TXesEyBr5fJEpIz0G4otN/cnHgUnT6Yyvef/9qB3/9Zw23/cODV11Vs2xY9b8VFwMUXhlBeLq+iQqF8P+dMqbwlO+4rV6l48mkNt/zVgbv/reG5/6pYtFgBrSCPb5WU3JRP6SXFBq6+svcV4lTW7mbPMnD0kbqZtLsOePJZzQyn47W1AR98JB+Vpk4xMG6sHBvJqKkhv3d33tmhhDbY42vWjoym7NihROzV2xXx0RJ9D113VQg//VEQ118Xwumn6Jg31xDPY1F5o0cDdvM3tEqfzmW0BIeYABNgAkyACTABJsAEUiEg7yJTKZnBMhPG1mLhktXdJC5autZMKy8LL78wY+wxASbQRwJcjQkMSQK1WiHua1+DUqFYtAZIpmVGinQrnsrRUSCUReLfXtbpjCb4e7DhPuJAA5pQKNnrZiNMkwKaO6rkyUYb2Zbpb+luKidbbdLmnIG4eZe2bUDV/oObYbZ42eWOEBf05ARmaOxl+hP2C+WlmCfrJqJzL2DT/SP+zxCnLuAVXnwGxzNOoDG8KSkJvvrKkLlC+5ILdVi2xv1+wG6KhGy1H3O0jhuvD+G3/6dhctiECtUnN11MIF5ykW5uJkpxcrTifNMWxTTT8pRQgv9ZKOBJwU55zS0K7rlPwyuvyceTAg9A/Uh1U1CSYXcnLNAxY5puJi1foYA2XzUjKXpvvSv7QcWPO0bKoXC23Kjwmz7LV0bbrR6R2daqUlgxf3yY2wHzDRxzVPbHndkRsjQmwASYwLAmwINnAkwgjwhE7+hy2KmzTzkC7y1cjpt/djuefOEdvPn+Evzutofw29sexOwZkzBpXPiOM4d94qaYABNgAkxgcBBY2lWPGc6KGJMYfem5u9zAiPmxygSXzYa7tUleItm00aYS1c0nKtKntLYtgH3/15oDDDgH+Rx062YF3rrEsGjF87ZXMncr4igARswzYtjXiMkRWkUfkziEIyv8jdga3ucgn4bpEBNcwc7Yc0P9C3YAZE6JwomcluBNlETlOK3/BJrCCncyPTJlkmGaGdl3po4v3xDEqSfrIHMkM6brOPuMEG7+ZhBf+kIIxx+rY9zY5G3vu4+OSy/S8b/fDeKi80MgJa59dTgp8UnB/rs/avjL3zVs3CS/K0qKDVx5RSii7E/eQs85F5yvY0RYyfzyqyrWrZfyk9XauRNYtETB62+p+HihahaLX91uJmbBq6mRn48O8ZmwxGd6hbslt6cjTXRcfqk8z5PFddBTWc5jAkyACTABJsAEmAATSExA3kkmzsta6gWnH4Ovf+ECPP/ah/jhb+7CTd//M+555EXMnTUVt/78q1CUnm+Gs9YxFswEmMDwIcAjHbQEXIqGBYVjuvV/pb8Jfru2uluJ3hOczmgZf5y5mWhO9kKtm1SQ+ZPstZB7yQ6hBA92Jm6XFLBkSidxLqf2hcBSfwO6jFBfqpo23N/3ZcesX/k0He7y7t0aMd+Ao0gqGrvnAmVTDZTErZxOVI7T+k+gsVnKqKyUR7t/2CG6qWS//BLdVJqT8t2e31vYKSZOyMwLKevJ/vkPhAKeZFmrutvalYid9bn7G/jyjaHIBp69ye4p3y3avUz02eOWpR55TEN9g3zO8AeATz5V8NgTGv72Dwd+9FMHbr/Tgaee0fCmULjLGkAuVrdTW6NGdv8cWJMFlM+OCTABJsAEmAAT6AcBrsoEckxgQBTuiqLgC5efgU9evANP3/0LPPyPH+PtJ2/FX37xNYwc0bvd0Rwz4uaYABNgAkwgjwiQfWqyUx3fpU2BFizz18cn9xgP2FYSUkGPh3zpAkIZI0OxflezArJHHZuamZi5mtcfliV0L2SGIxwbtAe3ULLS5qmJBhDqUpBpkzl6ECA77nsWKojbXxfD4a9F70Kiz0cqYx/vKMEbnTtSKZp2GWcJ4CjsXs1V1j3NnqI6AHL2NA5nh0Cz+G4jyeXl5GfXkSKcVsvfcH0Q558bAq2qJyX+FZeGcN45IdAq60z1gDZRveiCkCmuyw/c/6CK/76o4rd/cOCZ5zUsXa6grs7MjvFcQlk/f64Bu+32mAIZilhiamvFl74VEUdWtgsI/M8EmAATYAJMgAkwgUFKQM1lvzt9fvzilvtw2hXfwVlXfx/3PfYSJowdaZqRqaoozWVXuC0mwASYABNITmBQ5kx1lmG9ULqn0/ld76ggBW2iOrT6MVF6oN2ALnU3ibL7lVY8zoASXmVPq8L3hk0a9EvoAFcuqDFQmsQsQcEIAyMPMTLaQ1LONq9R4K4wQDbwMyp8EAg7xD0SVapt5iiNPmtQQJ+jNYHmNGpx0aFAgL7vrA1Mq8RnJ5djmrOfga99OWSariG779lom8zCnHKibopuaFTw4ccqyJwNJTjEpM6Y0QbmzjFw0gk6rro8hP/5Wgg//G4Q55yVpS97ajjO1catcB8hvh/jinCUCTABJsAEmAATYALZIMAys0BAzYLMpCJ/8Os78cCTr2H8mBpUV5bhljsfxy13PZ60PGcwASbABJgAE0iVwHRXBWq1olSLm+ViVpSbKYDHLQMBvzzG+7Qq29E3fWa8qG5xUri7SmSyHgCSrQyXJdhPRmDMcTrKpibLHdrp89wjoClKnwd5XtEUjHdkfuMA2jC1cWVsv+hNhJZebGr7WxXUfRxbr8+D44pJCTQ1RbPKyjM7CRaVnDxE5rwKC5LnZyLn8MN0kHLfklUhxklK+G9/M4gvfj6E884O4cjDdZByvqws9wwKC4GS4mi7I0ZYPR3ORx47E2ACTIAJMAEmwAQGJ4GcKdwbm9vw0psf4/tfvQK3/+Z/8K8/fQdf+/z5uPuhF9De0Tk46XGvmQATYAJMIG8IkErumILRafXHWWrACFHNaDWnUyo8kpmUKR5rCGWuLBOtlfkQdEzrVwAAEABJREFUmaN3DwEra4ZA1bk3lnGElsij/Eh8CAe2BtuwLpD/K8ediooCxZHxM6FogHdX7HXQJZS8lN5TY6rDQLA9tl5P5TmvbwSam6OPBJXlfZMxGGqddYbcuPXKy0L4xldDICV8Js3X9JdBbW1UQk14s9doCoeYABNgAkyACTABJsAEck6gjw1G7677KCDVanV7G82ixx813zySd+ZJR9AB23buMY/sMQEmwASYABPIJYGaAw04S4TW19YorbSkqN+fWMlHm3xma+U5KSB9DdQ6QMr2ytnSBIJMGZw+Lbbeu0gBrdiPH8HexQq8uxNzji87mOM6DNRohfjAtxubgq1ZG0pdyIuPfXX9lh8Usz16hmdCNA9Am+TaO0d7KDh7eSmFPm+hJG+b2GVxuH8EGsXkhyWhIscmZax2c3Gk73fauHXa1Njv/Vy0nUobI2ui/apmhXsqyIZ1GR48E2ACTIAJMAEmkL8EcqZwJ/vthKHItoyksly+N9/SFrdrHRVkxwSYABNgAkwgTQI7gh1Y6bdpjtKsT8WdLqkADgajig9Kz4Xztyno2CHbz0V7WWgjoUhStoZ83bOCIk1z5Z5z955kN2Vx11685t2Gy4qn4+n2jVlrbHuwHXtD/X9rkGy4P+HNbD9p4mXUEYDQ5UfGXzXbgKcXpSKtgCcTQZFKHMgKAbtJmRJ5e56VdlhozwQOOcTANVeFTDfKttq951qcywSYABNgAkyACTABJpBvBHKmcLcG/qu/3I+f/P4e0/38z/eZyfc8/IIZt9It5byZmRGPhTABJsAEmMBwIEC2q9/t3JnyUENd6Lby2umQCuCuJCvc6z5SEPSm3ERaBcmmvLWal/pGzi6g0wiiVR98y32LRhtItGBaDyhwZNlus53fQIX3CCV4jVYAh6Li6+Vzs9aNZnHxlNGS8H62MMtViZVd8s3EfoqKqU4b2QoEkTRHIWCPI8lfBoaURDInWwSsFe7VVfL7z0rnY24JlJUYmDRRuty2zK0xgaFGgMfDBJgAE2ACTGBgCeRM4e52OTF21Ah8unQtPvh0hek+XrzKTNu0dbcZt9KDweDAUuHWmQATYAJMYFASqNUKsUfvhI7UlEZtWxW0bIhdUe5yyaEns+He1axADZdBhv9cZQYKRsi+02aS8TavX/JuxUud27C0qz7DLWdXXPk0A67S7m2MOUYHKV275wytlA4xUTLKUQRkeVjTXeWY5azMSCtHeEZhYxbN32SkkywkYwSamuT3YGVmLp+M9YsFMQEmwASYABNgAkyACTCBwUggZwr3WTMm4qUHf5eSKykuHIwsB22fueNMgAkwgaFE4KLiqaCV4KmMSXMaMIJS0WSVt1a4BwKx6ZRP5jCMEKBmfk9JEm+u9i6ZYAYR8ot2XDJs+WQyZJ67Gu/4dllJfBwEBC4omoKxjuJIT3eHvFgfyPwGquNEGxUZWg5+fOFYTHYkmCWJjCL9QNtmJbJxqq8RqF+ipCSE9gCw9jZIqQIXSptAk5hIpEoV5XLCj8LsmAATYAJMYGgS4FExASbABJhA9gnkTOGe/aFwC0yACTABJsAEgOnOchQpzpRQmKur1VgFkzNsw93vj00ngYrQD45ZkJuNTDUxBEdBtA9dQtNfoxVgqqMMHsWBHcF26tKgcGSChzaEtXeWTMzoQXvK8AnT2F/v3DF8BhweqS4mq7rC8wyBNgXiMg7nmIcevVCX0mM+Z/adQFsbYL1cWlHedzlckwkwASbABJgAE2ACTIAJMAFJgBXukgP7TCAJAU5mAkxgKBMoqAEq940qtWmsLqHopmMgQH6cEzo/hycuLcNRy8RN5WwD7oqocLei4aLiaWbC1aX7YIQ2eN4GC3oVNK0R8MzeS6+rAdj7ydC/DfGLiZKWOLv7o8RMz+6gF4bQvG/YpOCfd2t46lkN/i7Jpq/+E+0bTJl9rR9fb5uY1MnkngFkrz/YKVsJdADOFC9h1QXEIZRC2M8IAWt1OwmrsH3nUJwdE2ACTIAJMIHhRYBHywSYABPIDAE1M2JYChNgAkyACTCB/CDQJjRzL3q3xHSmKeRDvNIzpoAt4nRJBXwgztSMrUhWg60blF6Viw4ocKWy22RWe5q6cM1jIOSLVbjTimXNLVmnLmnwlfzM34D3E5gAOrtoEpr8Qfz7Pg3btilYtFjB3/4hw30ZZZsewJZgGxQllnNfZFl1SNn+Suc2K9rvY0GNAbLnT4LoWDIxtfNfOdNA0djUypLsIemyOKjmlqjwiorcvMETbZFDTIAJMAEmwASYABNgAkxg6BFQh96QeERMgAnkigC3wwTykUCJ6gIpOX1GKNK9v7UuR4kaXroeSRUBocMLdMQqKJ0OkS7+E61wbxeK0ea1seVF0Yz+UzdDAcBPSjDRP0s4KVM7hFLVipOd+iBsBayMNI7Nehd+1fQpQv2U01uTjkLAXRHbVxqKo6i3moM/f0/QCzIFFD+SOe5qaD5XTDKtNKbV7h8tTP/2jJTjpeLajxHYz8i+zgqs6Grsp5RodVV8tpwlMk7XeapzRooGUF1Zk/1ME2hsVCIiq3iFe4QFB5gAE2ACTIAJMIFYAhxjAkwgdQLpP9GlLptLMgEmwASYABMYEAKjtSLsDHaYbS/01eEA9wi85N2Klf5Y5aEhdMA7344qm6iCO6wDtWwaU5rlAkJkqkpCq066x9LJurlKedd74ifa1rX729bAbdM6bgy04umOjemKjylfrrrxnYr5ptI9JiPDEWJWPUfAtsml1c3l02PTbNlDJqiLkYxxRDdMFdHIv7czOv4D5hsoCJsrev4FFaR8jxRMIUATSqcUhnfcTaF8KkUURcH5xVOwN9SZSnEuM0gJNDfLL5pCMTHmDH//DbKhcHeZABNgAkyACTABJsAEmEBeERBP83nVH+4ME2ACTGCIEOBhDCSBM4omolJzm10gleaxBWNASvh1AVo2biabniJ+BYVOEbbF8HDaFsL7/WaxiKeLeFhsJC3TgRKhM1U0A/bFyruCXlRrBXBAKsaozVmuSmwNtCGo6xTts1OFzB9WHAi/EZXzmb8e97Su6rNMrhglcGbRRNQmsLdPK9Lf6dwVKThnPx2fuzIYib/0SvRcRxJ7CNDq9jFZeGWArrMR4trroem0suo+UuBvVbDzbTXler4GYM+n6fFIWTgXRGOThFAZ9xaKTGWfCTABJsAEmAATYAJMoHcCXIIJxBJI/Wknth7HmAATYAJMgAnkLYEK1Q1avU0dPNgzEgWKA1OcZdgcbKWkGOcqN6BH9Zxw9KBwryBb0mNIhR8jIuMRmgDwVEXb8SOEIzyjurWzj6sCDUbfd9rcIhT2ViuWTfi7hKJ9s0g/rmBst/b6k9BZjxg77mRSxqbj74/oQVmXFOTvB3fAUOQZKCwwMEqc4ln7yomPlatUbNqsDMqx9dTpkJi08olrQQ3vldBTWStPFZ/JYJzpJyuPj1ECy5Yr2LU7Gk81ZCncy9mcTKrIBlc57i0TYAJMgAkwASbABJhAzgmwwj3nyLlBJsAEmAATGAgCxUJr97WyOd2arj3UgH3VusumCAwEYxWeQgRoVXw3IRlMMBXTfgUj5klFLIme4CgBrTSmsN2dWjgBI/u4+nhnsMM0sxM7QuDakn1wdtEkTLCMbdsb7EfYu0uBty4qYNd7CshETzRl6IVoH4E9PZhjKe0qQkdhhzlwMudBgZNPjJ73F17SKCkl965vV8SMUkoV0ij0X++WNEr3XNRRAHQ1K3AW9VzOnktve9AEjT2Nw90JPPOchr/f4cAvfu3Agw+reP9DFW1t3cvFp7S2ym+BSjH5GJ/HcSbABJgAE2ACTIAJMAEm0F8Cw7E+K9yH41nnMTMBJsAEhgGBf7auxGPt69MeqcMhlU9U0e+PKj8pngvnF8pIbx9Wqabbt23B9oRKdUWJjv89ocT1Grbl/+k2YivvKkWMwj3UpcARtlluKzakgp911WNx196kY5rbMhFaSDPzi8Nm3svLDBxxmG6m7RYTFB9/mtqt2squRqi2c2cKyJC3xt+EtgxpvCtnG6icpYOOqXaPrpPRx0gmqdYZbuVIsd7ll6Om46o1Kl58WcWdd2s9Kt0bGqKf9wpWuEuA7A8nAjxWJsAEmAATYAJMgAlkhUBqT3FZaZqFMgEmwASYABPIHgG3ogmFstDy2poIwkBnnAI52AnYdYlu2wr3YNwK9+2vZv9nU3UBwQ5EVn/7jRA+9gnNq20cVrBDdLyuhxXUVrlExxB0zHZVJcqKpO0VstfH2b2PZKYZKJlgoGi0rESmZFQHQG8MyJSh6dPq9p7snxd0FKHAVwC3K3b8xwrlsrXi/e13FPi7YvMp1iGuETparkXvQhktBbcSMngsVd1oFfIzIZKU55obSHdugK4X8F9SAnttinMyTVQ7UhZtEhN499ynweuV8Xi/uSWaUlkZDXOICTABJsAEmAATYAJMgAkwgb4TSF1z0Pc2uCYTYAJMgAkwgZwTuKpkBg5y18S0qxjAH5uXxKR56xQ0r1EiaU5nJAj7pqkhXzQ9myFPpWHalG/fKvu0KdiGTQlsz1MfaPX5431YxU91D/eMQm+bbI5xFGNHsJ2KZ8QVjxUnQEgiszxjj9dFaGj/u8VAxwuGyUbp9cpzXFgouVjl3EIBv0Ao3SlO5j4efyr2dm3REgW/+YMDTz8nFKliwohqn18y1dyrgOpk2h1XMAaFiu2DkekGWF6/CdTvldcSCbrs4hBu/GIQ8+fSlQHsrVdw930OdIrvMFLA0/4A772vYvMWBXXi+4/qkCsvJ58dE2ACTCBMgA9MgAkwASbABJhAnwnEPsH1WQxXZAJMgAkwASaQ/wQ0RcE4oQDdHIhunuqpBHyN0b7bFe6BQDQ9KJRVqlsqsKKpmQ85iwEyv6IJpStJ3x3swCRH7Ep9SidXrRWgIYszAfs6KzA5SdsYoL/B1OxJheNB5yhZn71CWb52ylp44hTuVP7gg3RMmyqvNzIP8s578pbt/Q9UPPWMRkXw6SIFt/zVgU8+VbN6niY7S1FBy9LNVvvn+VuAVfdooLcc0pG0Z6EKf0tUqZxO3eFQdm+DHKVLzIuUlcrr5pyzQpi1r5zYqqsDfvVbB/50q4aHHlXx0qsq/vVvDS++Iq8rqs0mZYgCOybABJgAE2ACTIAJMAEm0H8C0bvs/svKewktbR3YU9+ctJ9t7V40tXTfXerVdz7F3obk9QAklckZTIAJMAEmkF8E9ndVxyipXUI55ShQIgpAlyvaX38gquAjJThtsBrNzV6ITK04SqTSbJRWhElC4ZmoNerdAZ4atOu2mYFEBePSyFTMlmD337u4YigSHZnhqohP5niGCHQKhXvQGYC/PPFbBBeeH0JVpbwOXnlNxcOPxypIqRsk49nnVdxxl1TCU1o+O9WpoHS8ASXNO1AqH/Aa+Ty0Ae1bfT19GwAjRsQyuvgCHdOmxaYl6mhlRe9lEtXjNCbABFcE6BMAABAASURBVJjAMCXAw2YCTIAJMAEm0COBNB93epSVt5n1jS047Yrv4PAzb8JxF3wdZ139fTz78vuR/no7ffjKD27BoWfciCPP/gouvfFnoDpWge/98p9Yu3G7FeUjE2ACTIAJDGICc93VICW1fQg1B+kRBaDTEc0JBqJKKFL4qc5oXiqhPaFOkNMRldNbPSMkSgjdWWHYGs50Vzl6sgN+WuEEFKfZsXd9u9Cq+0VD/J8tAmTux/4mRaJ2aIV7UUcRfCUdibLhcQOXXaKDVi1TgRUrxIUhAmTf/YYvBHHaKbpZprm0GQuDu7F2ncwXRbr9U1ubNisgl8gmfLcKtoSdwQ580rXHltL3oKPQwJgFetoCtAIDoc7k40tb4BCrsLdeDqi6Wh7t/iUXhDBnfwOHHarjvLNDuOYq6S67WMdRR+iYNMFAdXXq31F22RxmAkyACTABJsAEmAATYAJMoDuBYaFw13UD55xyJF579I/48LnbcMpxB+Onf7oXnT6/SeSBJ18zFepvPPZnM19TVdxy5+NmHnsZIMAimAATYAKDiIDLFVU8+W0r3PsyhH+2rkCV5gHp2x9qX5eSCFLsN6/OrmJxa7AN4x0lKfVncddeZGrj1JQaHCKF7mld1etESKdXwehdYzBBLTNHTYrtXUGvGba8EUIRSivdrXh5mYEvXBsCbYx56ME6vnpTEL7ydoTUEMj0jFUu/rh2nYK779VMtyysuI8vkyyuiwt4qb8hWXZO0itmGiidFP1s5qTRQdIITaCQrX/qLl0vdLQ7MpN1/jkhnHqSjrlzDEyaKN0+M3SceLyOa64O4YpL058EsbfBYSbABJgAE2ACEQIcYAJMgAkwAQwLhXtNdTmuv+JM1I6oRElxIc46+QjQqvZV6zabl8CLb3yMC844BlSO8q+84EQ88d+3YRjdH+wamlpx/bd/j3seedGsyx4TYAJMgAkMPgJkTiVgMyJNZtB9DVLJ7bCtcLdvmkobq7ZtTX2sH/h242DPSGhQoCoK5rtG4J621dgZ7ECPf6IboSAQ6pKl3uzcAXtfZWrUbxKd71VmtDh8RgiHuEeiTHXZUpMHNTEDsHyAla3Je5efOXTup7nKe7TfTrcYZA7GGXSixikmZcRQWnQ/Hu9Yj21xG9XOmG6ANlGtrjJw/XWhiJkZUQXFxUBg0h6M2T0GK1cp4t6FUru7piZxYYWTe1LMh4vEHEpVF1pDcpFCTEYOI+IjBPFRQn/+hmrdPeHvLhpfohXulM6OCTABJsAEmAATYAJMgAkwgdwRGBYK93icC5esNpMmjhtlHrdsr8P4MSPNMHnjRtfQAa3tsavMyAb85//ntyguKsAV559olmGPCfSTAFdnAkxgAAi84d0eo/hWNGDPJ1IhabfhHrSZRm/bqqAw+lPRa69JSXmcZ0yk3HShgD27aBKCiK4k3R2K/Z2xCo8+RofmBEJCK/uebxecQult5cUfW4wAXu3cFp+cNO4Rgz3UU5s0Pz5jtFYYwyo+n+OxBHRxzsY5inFiwbjYjLgYKdutJDIRQ+GZrgpcV7ov3u3cSdEYd6y4JkjZTgr2mAwR+UrZHCiGApK5bbu8jkVyzH9TczSdVrt3paE/p2v5xMKexxPTGEdySqA+bE6GGk20wp3S2TEBJsAEmAATYAJ5QYA7wQSYwDAhMOwU7us2bccvb70fN1x1NirLS0Cr2Gm1u8ftipxyt0toOUTM6/UJX/53iPBN3/szxo2pwW9++CU4NKGdEVkelwZ2+clAnB54nPnZN75m+Lz05xpwO9WMfu+QPFLF9adPg61ulcuDLkcowrGwSFyTxQpUnziK73UywQDxp+sKaGyhRg2VE1UUlWhmnNJ6cwcUj0Cx2xlTfpSnENMLyyNpy0MNuLNjJZaG6iNpJLe8RrTj0RB06ih3umPyKN/uxniK0AJ/j2Xs5dMNjy0oxvnlU+DK8HWXbj/ypbzToUJV5XWRqE+FbgemFpb1ej6CQYe4wuR/qbj2LFkVbjeuqZqZsH55qbguxPVplbWOc2arUpDw161L/P3QYlO4i2LYvCmxLEtm/JGu5/i0XMZdqoYdr6TX51z2byDbamqS55/eAhhTm/j8996/vrN10WdCQcJrNpvtsuy+n7PBxI7uUQZTf3vrK/2GaD38hvRWn/OHx3XP51meZ/qs0GdmIHjQvRI7JsAEmEB/CMg79P5IGER1d+yuxxdv/gMWHDkPN1x9ttlzRVFQWCAUL/7oMsaucLiwUL7iTQV/8Os7sXj5OnzrSxfD6dAoyXSFbg3s8pOBOLUo8ORn3/iaSfG88Ocr4fcLTSRl8hoqcDugiIe/wmHEe1ZRBYpdjhi+o2epcAulHnFwOc2veOi6apYZMUHDuPkyTPmZchdVTcFVVdPRqvrNduLlFgvl6lkVExPmWWVHit+w/Yoq4Xb33r+XfFuwE+09yrPk2o8zi8tR7HGkXc8uY6iEPWLiwZHk8xIQkzidjkBKnHTb/gCVZal/J25HGx7zrsffWpZGzvmICg3TpshrdtlKJWH7Tc0y3/JXr+n9esmnc1YsJsXcLhVuaAnHl099zXVfGsMmZWqqgeICLed8CsRviKoNruupcBj93g32sXqcub+ms8nM5VDFsyR/XrLJmGUPnc+MU3xe6DMzEOcU/DcwBLhVJjCECAwbhfv6TTtwyZf+D0cdsj9+8d3PQxMPBtZ5nDB2JLbuqLOi2LZzjxkuLS40j+SdedLhOPrQOfjSd/6I5pZ2SjJdY5sf7PKTgWEATXx++PocgtdAizeQ0fPa3O4XimUjozLz/XtxcqgcowPFMWMOlgfQ6ZLfZ5pDfIGIb/m2Dj2mTCrj+qhxD+7evSblei6fA0cqoxOWD3iBcYGShHn2vhyrjkVLW8/XxWN7NkLza6j0F/Qqzy6bw/KasDi0dQbhD3a/Lt5rqMOfdn0G3aukxLeuISSuMPkfVLqfu7XNLXh8zyZsaGnDKhG22l/X2oppejmuK5gVc86nTtVNYY2NwOqNsX2ub/GLexczO+ItX2mA0i25vR3/u3crPmtqTGlsvcnqaz5NaOzdGzu2vsoaSvV27pbfV5VV+oCcn5YOP4IJPhNDiTGPZeA+d5m+5xnoc9nhC8LnDw3IZ3Wgx87tD9znaLCyp88KfWYGov+RGyYOMAEmwAT6SGBYKNzXbNiGs6/5AQ47YBY+f9npqNvbBFrt3iQeYonbyccehEeffRN76pvR3tGJ+x57BeeddjQURaFs0x1/5Hz84cc3oqy0GDd870/wdnaZ6ewxASbABAaIADebRQKWlbFAEPDuVhCMWhjrtdVl/gZMd5b3Wi6XBepDnSC74kd6RvWp2c3BNjzVsbFPdYdDpWa9C8vFef9q2RxoiN479DR2b6dUklKZogLyY121VgCynf73lmUIGFHl/GGeWsxwVcQWFrF9943Ko9XrIiny39QU7dOsWbIc2XDfuCmaHikcF7jrHg2/+6OGF94LYZu4DuKycxoddYQOV1lOmxwUje2tl+dxxIhB0V3uJBNgAkyACTABJsAEmED6BLjGICMwLBTuG7fIzceef+1DnHLZzTjpkm+Z7jd/e9A8XZedewImTxiN4y74Og45/QYEhIblK9eeZ+ZZniqU74UFbvz9V99AS2s7vvmTvyIU0q1sPjIBJsAEmMAgItApFJhbAm3dety6UYEulOwOp1RghdoMNK8DHFELY93qxCc0hLpQI5Sl8em9xe9sXYkWPXYny43BVqwPtPRW1dzUdGewI2k5Ut5O68ckwFitCO1GELcJ5W+nOCZtaJhmOKDiwuKpaY2+0yuvMapUUCCV4BS2u3nuany/4kCMdRTbkxOGy0oMjB4l5axeHZVNhZttl9D8OTocTkoFVsWVk6lRnxT1W7YqaGtX0LDFjZZQ7PUZLcmhgSJQHzYnQ+1XV8nzT2F2TCB3BLglJsAEmAATYAJMgAkwgXgCanzCUIyfuuAQrHjznm7u19+/3hxuUaEHf//1N/D+s3/DW0/cgof/8WPUVEdXJy584XYcduAss2x5WTH++5/f4Pbf/E+MWRozkz0mwASYABPIDwK99KJLaNUTrdj2NQG+egUup1RcuZsVlE3uRVhc9hdK90WVloaGPlzfpahoCsUupV/tb0Kz3hUukfzQJMp84NudvEA/cxyib1cUT8dFplI5VpnbT9FDonqxGtZgpzEab2e0sCfJ5aKmuFrekrTPPvK63b5TKMlt80mN4rq2ylRXAzOmy3LLV6og82tWXvxxd130XBfXVWJEk6gcXyiXcdFtg9c6xBC3VrdT4ogBPj3UB3ZMgAkwASbABJgAE2ACTCDnBPKwQTUP+zRgXSorKUJ1Jb+rPGAngBtmAkyACeSIAJnqaDMC3VrzVAAdQlnpFPpTReS2uoCiMULLJ8LZ/i9T3d1WuHfoARQpzl6brlQ9aNBjlfVUqcsI4XfNiymYEUcr5QsUDXtDnWiImxzISAMJhNgV0wmys57UJCZd/vwXDffcp+Htd1Vs3xFt8u3OnXjXtyuakEbIGldRURqVeik6a2b0Wl29lq5gWYFWqssQUFFuYNYM3Yx2CqU/KefNSAKvLrq9DVwBF9o3lSQolbskmgzbszA6rty1nL8t1ddH+zaiOnr+o6kcYgJMYCAJcNtMgAkwASbABJjA8CTACvfhed551EyACTCBYU2AzITNcVXDJxTSdhAlEw2UTNDhchkg1ZVXTU+5FxS14mXa5fcUPr1oIma5KmOKUJxsr8ckJoiQCZvJzu4Txm927sDRntHxNfodbxMTAf/1bumTnA0bFbzwkoo/3aph0+ae+X66SMEfb3Fg/Yaey/WpIylUaqhXcOe/VDQ2KSB756++ruLWvyu4+Uc6tm1TsDrQhCmO7txTEA1SdlO5wiTmZCgvXUcK19ISunKBLVuit3jNLZJfZYXMmxZe4U7y16yReRSOd7ttCnfK2yjOHR0HymmCVbAzeX/pevr4ExVrbJMNA9XXXLVrmZQpKzPE91auWuV2mAATYAJMgAkwASbABJgAE+iJQPRprKdSOcnjRpgAE2ACTIAJ5I7AmULB7VG0mAYV8avoqQKcTqnUCwSkgjKmUA+RN73bsahrbw8lkmc5oMBBHbAV2Vco4FMxV6IpCk4oGGurCfgNHe1CMX6IZ2RMeiYik5yl2BxoTVmU3w889IiKn/3agX//R8MHH6mglePPPKcmlNHapuDe+zU8/ZwGqvvUMyp8XQmLZiyxpVUBKdgtgWSq4657NdN+OaXV1JAvHa1O/2RN0IyMchSax3Q9r1deY4V9q560ubFj5TW73bbwvrlZFi8vl0e3C5gyWZZbsUr2Q+bE+rv3xua97FgHn0/Ws0r64yatrPRsHAm1uKSTin7+RQ3P/VfF/Q+J82YzqZO0whDI2Bte4c7mZIbAyeQhMIFhR4AHzASYABNgAkxg6BJI/KQ7dMfLI2MCTIAJMAEm0CsBp1MqFUnZ22uLjCsUAAAQAElEQVRhW4G6kBc1fbDfbhORsSDZhD+/eErG5NkFkRr2hMJxaEzRrAyZvVi5WkVAKN7tchoaFbz1duytyGfLFPz1Ni1mVTsp4F94SbNXzWi4vR24824Vt4h2f/RTB377Rwf+cacGSqeGTjlRx5e/FMTN3wwKRTWlAJtXuXB9qdzfRaak53f6iCKQyRXu1IMx4RcaGhsU0MQApdHkBh0rKsiXbuYMeY03iHL2iQaZC/jFBAfJoPioUeQD3kIvlm2NmmJ6pmMT3urcKTOT+EEx8ZMkK+1kmo8aJ85Foor05sSePdEcuraisaEbqg9PitDbDUN3lDwyJsAEmAATYAJMgAkwASYwuAjEPuUOrr4Pq97yYJkAE2ACTCCzBHYGO0CbjSaS6nLK1EBAKkVlrHc/AB21WlHvBROUqA914p+tKyI5tHL4Fe+2SLy3wNZgG+5vW4tH29djoS/OFkhvlfuQf5inFpUpTi7UC8W61cSpJ+v44feCmDRRKnxfe1OFpRx9930Vjz+pwSeUvVT+gPkGxo+X5RYvUbB2XXrng2TYHSnQX3hJhdcbTQ0I/TGtiG5picqmctZkC/X38MN0s0JxMTB9qhkE2UXfWx+tI1NT971eOa6Cwr7LSNTaWNueAzt2KKbivKNDlqwol21SbEZ4g1UKL0+wyn33nmi/DjskRMXg9ruwYpsAZsaAJV31OFFMvFCU7PpvDLTiyY6NeMm7lZJMt7BrD/6v6WPUBW3QzZzMeu9/GHtL29CQWfn5KK2tDZHPCm2Gm4995D4xASbABJhA3whwLSbABJgAExjcBGKfTgb3WLj3TIAJMAEmwARSJrAh2AJSGCaq4Awr3C3Fb6IyidI+VzITqZiASVS3VHXHbETaovuxPtCSqGjCtLFaMcjm+2xXFSa7+mZXPKHgDCTW2xTTB87TQRMaZ50mldgk/tnnVbz2hoqXX1UpCrcLuOryEM4+I4Rzz9LhCJ+Pp59V0Rm3Nyydow8/VvGfBzU8+5yKd95TsXy5gpa2qMKYhNIq77vukeZsbr3NgWWiDKU/+YyGHTtl2VmzDBwhlOuTJxkoKABOP0XHYYdE+0nl9w0rqtuL2rF6LaX0zXnDJmUKPFEleN8kxdYaMyoqj8bVZLuE7Ar3shIDY0bLsqsT2HG3K9zHjwMmTjAwYetE7FnvMRvcHfLi3OLJZpi8cnH9Lunai6nOMtDbD5RGjiZmTi+ciPe6dlO0R9dphHBP2yqs9jclLacHgfhF83v2AuvWy3NoVSS7+1Z4qBxpwolMM/3opw6Q+92fHJGhjaiW5zKSwAEmwASYABNgAkyACTABJsAEBoyAfLIdsOa5YSaQCQIsgwkwASaQPoFS1YVWodROVNNSuCfKy1YamYDRoKDTEBpF0Ui7EUCRGlWoiaQe/1VFwVx3NWa6KlClSqUosvz3Ti/mRKzm7Rs7OoUyndKrhILw2KN1Cpobkr71jrwlIZvm134uiKlTpAKxqtLAiQtkubZ2BQ8/quHNt1XQhqpk4/23f3Dgvy+q5ur3hYtUvPKaikee0PCHP2mgTU67/ACZGqHNT62V9F4v8Kgo85fbNCxfIRW106cZuPj8EE4+Ucfnrgzhe98O4pCDZbtmJ8PeyBpAHd+C7aO3Y+1a2edwVsyBzLk8/FjifFpVH5SnGUV9eyEipi17xOUGakbIlG07FDQ3KzIi/IpK4dn+9wmblSHFfPwERV1YP06TI7TZKtl8L+wsRHudGy0tCmq1QuwnJncscU5FxXnFU8w0TVzHVjod57lH4MS4PQYoPd79o2UZ5riqUaKGZ1jiC4h4i1Cst8RtovvBR5rIkf8Wz6G0wv0jMaH0uz9q5qQSmWaSI431q6vk5yU2lWNMgAkwASbABIYiAR4TE2ACTCD/CSR+Esz/fnMPmQATYAJMgAn0i8BorQgjtIKEMlxhpTBl+uJWVFNaItcpFOXJFPiJyidK+2bFPHgglYe0YvjogjGJiuVN2qZgK1LZPLWhQTH7XF1lHiLeUUfoqKiIKgorhdLwi9eFMKo2UsQM0Crz8eNkuY2bFLz+pmpuqEpKd0txbRaM895+V8Ufb3HgH3c5IpufzpqpwxGex7BMwlSJdi84LxRXO3m0eGYzylvKsWWrAlKsx5dsaVVw190aVqxUu628prLesP12Cmd6hTvJHBM2K0MmZewrvSttJmWo3Mx9ohMKa1bLc0Tp5HbVyXhteMX8lPAECOWt30B+6k4TCvgSMcHVU42AoePGsv1AyvkxjmKz6N1tqxAy5Hk3E4TnKARCnSIQ/idzOXQdUHT+vOiq/YbGAbjFpU5k2K1cpeJ5MaFEk02W6Fn76jj5BB1nnR7CRWKSiCaIyNyRlc9HJsAEmAATYAJMgAkwASbABAaWwNB4GhlYhtw6E8hrAtw5JsAEEhMgZfvhnjjNbrio0xFV8tFq5HByj4c3Ondgrb+5xzK9ZZJiUlGkorNCdWOio6S3KgOaP0H0b0uwvdc+7A3b045fhUtvEpxxqlT6knmT668JxSjg7YLJtMzY0dLUiz19wnjDVDr+9EdBWO4L14YwcqQs1SmUs9Y5PO0UHRdfqOPLN4QiNuTJfM3ll+jwuGX5VHxqs7JJzh6QmQ97HVLi//MuFXSk9E8Xy/NJYct1hu23UzzTNtxJpqVwp5X8mzZTCkBvFtDbAzImfVoJT6vXKbYqzqxMXVjhPnKE/CwQ+0BVO7aN2YqPd3QkNcdEsvriaIW8S9FiqrbrAbTqXTFpzmIDum1uhPYAsAqQOSB6I4LiDY3kD25Hb4Y88bRqDoLO3enis/Ldbwdx8QU6jjhcx4EHGJg9ywCZQDILsccEmAATYAJMgAkMewIMgAkwgfwgIO/i86Mv3AsmwASYABNgAnlBwL7C3e/vrjBN1Mk9IS9qHAWJsoZs2nx3DWqSvCVgDZpWewcDMha/wp1Sp001cMqJOq65KgRSKlKa3dEmsMv9jaBV6Nd/Xpp6IcX6V24M4as3hXDd50Km0tFeZ9xYAzd9MQhSsFuK9PPOCeHQsIkYUjJTe+ecFcJFF4QQPxFgl5Uo/MXpk1GqSbMna9ZFb6W2bVdw5780tNrsx9MKZVqFbZfj7YxeU4UFUqFtz+9veOwoOYlBclavkf2rrKBYdzczbJN+w0YF1tscDY0KrEmK2tpo/yaNU9Bc1oI32nfCHZDj7y4xcQptprox2Jowk96SSPR2SIniFAr38MUTrumpBEbMk31a/JmCTz6V45s+TceIagNVIp+K0psPdO1ReDC6gB946BENfnGk/p93dgiHHKSjcPB+xdAw2DEBJsAEmAATYAJMgAkwgWFBQD6lDIuh8iCZABNgAvEEOD7cCXzWVd/NZAUxcTijClF/QCr3KN3uyH65jmieEypqtSJ7kbTDH/p242XvVrPep117sD2F1eNm4QHyyNY22Yzvqfn6+mguKc2jsWjo8MN02Cc5rJxbW5biUE8tqjVpk77LCCFoSGUyKVd7U5STgv2rNwVx9ZUhzN0/eq4s+fPnGiCFvxVP5zhjmpS3fp28VsgW/H8e0NDpk1Lm2Npb/Fns7ZbXK+tQyWwo3EePJsmxrqJccotNBWaG7bhT+prwWHaHV7dTWq3tJZADpjnR5faho7AdbauSaPCpUgJHyvNdwY5uOesCzfigqw60p0J85jnFk5NOYm3eouDJp+WK+AKhhD7tFHk+7NdYfUO8xMETp/0JaDNY6vHhh+qYHr7eKM6OCTABJsAEmAATYAJMoC8EuA4TyB2B2CfA3LXLLTEBJsAEmAATGHAC7/p2odmINVlBnXI5pfKOwsFAVDlKccuRCYxXvNusKC4vmQGX0r+fVVI6thgBU+ZKfxP8SKwkNQsMEs+y307dra4mPzUXEpMZXyndD+McxWIioxD016L7cWfbSgqm7Mi29ZRJ0fOZcsUkBV/pkOd8xnR5brr8AG2++sjjUWU7mf44/5wQxoXtzseblensjPaHlMVJmupXstW2JaSi3ArFHsePNyJvFixdLq/f3XXRMiNron09YKaK2bumYNaq2aANaqOleg+RCaf6UHg2wlb8fTHJdIJnrC0lGixX3ShQHNGEcGjPTgUPPqSZMYcTuPLyEOitBUqoqiRfusZGeRxs/pq1KpYul987Y8cYOOUkea0NtnFwf9MgwEWZABNgAkyACTABJsAEhhQB+WQ1pIbEg2ECTIAJMIFMEBgOMmiFdiJTFi6hxLPGHwhaoejxjtYVOMgzEiv8jSA709Gc/oXKhYKxXSiVSUqHHkCxYusIJeahIwbkknXNWmXsEHrT8rKo8tZe3jAMk+XSrnp85pdL4jUoUBTFXsw0X1OquLA+0BKTnulIwNDxcPt66KJfdtnviQkaawTTbCuOLXvtpNy/9CLdNP1B9Q6cJxWlNOmwdWt0LPYV7iVZMtNPNtepD5ZLZlKG8i2zMuvWKXjxZRW7d1MqUFllwP5ZoNQTJpfD4/egTijld+6klNTc/u5qnFY4IaZwSPA92D0SI9IwxUSmVl67V9y+dkpRF5yjwz7W8nLrDAGNjVHmsvTg8N95X/ab7O5fdL68hgZHz7mXTIAJMAEmwASYABNgAoOVAPc7swTEE0tmBbI0JsAEmAATYAKDhcD+rmq4oHXrrsO2wj0QkMovq9C2YDtodbsGBTeW7WcmN+tdaEywetfMTMMb7SjCNSUzzRpHF4xBpVDAm5E89opUJ8j8TbIu1jdIfonst0fqCMX6Kn8TNgRasTXQHklOFDixcBx2h7yJsjKW9nrndkxwFEMV/bILfa9zF44qlPZa3C5gyuSocvegA3SQ+ZqZ+0QVpLNmGaByJOOTxdFbLm94oXciMzpUNhOONqG1y7Erou3pFF5wTAiWKZb3P1RBK6wpfdTI6PgoTm5+2H46hT+1jYniPTm6CuhzYy+jCb49mSQiczOviXNhr7NXzMc0dwBOoaw//jgd+86M8rbK1dTIUH2DPA4mf9sOBdbkzEHzdfR03gbTuLivTKAfBLgqE2ACTIAJMAEmwAQGHQF10PWYO8wEmAATYAJMIEME5rqrMUYouePFOe023P2xSsdNQik8yVFqVvEoGoqFwvnNzh3YHhJaQDM1M96+rgo4lPz/mZ7oKMHmQFvSQVtKz6qq7opRqxIpYy8onoJziyfjzKKJVnLC4witAEd6RiXMy0Qi2YnfHGwzbcfb5XUaQXypbDYKxDm30veZYWDkSOD660I483QdHreVI4+0Ony//eS4l3ymwNcl0zvDNtwLC2OvLZmbGX+MnBeICKuwrfyOJIYDtMr+C9eEQHbxw0nmgcZmBmxedZWBCeNlv5cuU+GXFpAQEMeVq3q/Xr2dMBX6GzbRWbcJThB0CtY7xASXPau1TYVPVaCKCa8pU2Q/EPdXVSmZD8YV7u+9F+Vy2KGJxxc3XI4yASbABJgAE2ACTIAJMAEmkFUC6QtX06/CNZgAE2ACTIAJDG0C9pXHfn/skpdNUQAAEABJREFUWA/xjMTRnqg202eEQArnGqEIji3ZtxjZLicTK32rPTC1SBFNHOJbJyVsc7NUICZb4a7DQEfYbn18/WzFaQX7Sx1bEL96mtpzCyXvF0tnUdB0/2hdgfpQp1C0O7pt7Dl3jo6bvhgE2dk2CyfwLLMylLUsbCO90ysVqYUFlJodVyUU43b78OUVPbdTWAhce3UI1upwKl0bXilOYbs7YL5UaJP9+hUrFaxcreLW2zQ89KiKx5/S7EVjwve1rcGP/9WB+x9S8cBDGh7YuQV7BduYQrZIqZjMijf51NoONIkmmoUrLbEVtgWrKmVkb7289mQs//2GRsmSejpnfwNlpfI6oTg7JsAEmEBCApzIBJgAE2ACTIAJ5CUBVrjn5WnhTjEBJsAEmEAuCDSFfFgfaO7WlNNuUiYYq7QjhayqRNNolftxhWNRqXq6yelLwgNta7E4UI83Onf0pfqA1KHJBuJgNW4df7lnMfZW7TWjpAA2A3He8q4GvNyxLS619+gr3m3YGerAJ117zMJ1QnH7une7GY73PvLtBp1rK71QcaBMc6NGLUCiiQKrHB0vLJqCB9rXgVa4U9zuLHMx9rT48GgxN1NbK1NfekXednV0yuvHrhCXJTLrWxMBZFueVtv3Jr2oiJTuQZxxqo4bxUTCPjOkYj2+3r4zjchq/uf+KxTtj6hoaZFj+mypgjvu1NAuFOPx9QJ1BWjROs1kf8DAIyvrUeRPPutQobhxafF0s7zltbVaIaC0JLFCuqoymt4cnvCJ1sqP0PadCh5+XMMtf9WwdLlk98FH8kg9POKwEB3YMQEmwASYABNgAkyACTABJjAICcgnv0HY8T50maswASbABJgAE4gh4DVCeKtzZ0waRQpsunNapU1p5EiNRxs9Utju5riq4FIy85NarrpMO+Z7smyn3N7/bIXnt09Cc1mzKT7ZCndSlNc6Cs0y6XgzXOW4r3U1JjjkMueRWgFGOYrwiFCOW3IadB9+37wYbUYQxYKrlX6op9Y0GbOfuwrWRAEp1Mlc0K6g1ypmHis1D84qnAjaxNZM6IN3yIFSeUpvS6xaraIz3EQ2V7hTN6+8LISf/iiIm78ZpGhKjvp08EE6akcmL07K+/3DpnKszwetkLcU3aRM/vsdGnbtipXRtrUYPrfPTGwrboOzoRQPP6qZ8USeoiio0jwxWa1tClTxQazowRxPVRUifw2NkeCABJrFRMSmzQost1wo1++6RzMnJVasUNDQqOCxJzT89e8OLFosv0OmTTV65D8gA+FGmQATYAKDjwD3mAkwASbABJjAgBGQd/YD1jw3zASYABNgAkxg4AiUqE606f4eO2DZqKZCL3u3RlZUUzwbrkoojhuForhYcWZDfNZk/q1lGYQeNEZ+8Z4KlLVKe/dk+zsmMxzxCWX4OEdxOJb6YbxQtH+n4gCMELysWrQB5zEFY7E2IJX8dcFOc2PbE0Sas5cJkfvb1uCxjg1CaV9oiYscJzpLUW1rJ5KRYmD/2QY8Yb3xRwsVeK0V7j0ojVMUPWDF5s+Nrn4n8ydfvSmIr305hLlz5FXQ1q7g3gccMf3zflqDidsmglbO7z/GjakbppqK6BfCK/9jCieJtLYCbtHE+CT5lGwp/inc0BBdNU7xXLtXX1Nx971axD0ilOtbtnbv0569QDA8L3L4YVG2ue4vt8cEmAATYAJMgAkwASbABJhA/wmwwr3/DIeGBB4FE2ACTGAYEihVXdjXFTb4HDd+j1smBGz6eFoBPUkoX2VOdvzDPbU4s3AiDvaMzE4DWZJKLImPJf75js3Y2wjU1I8EmTTxhBXOVr51PLNoEsb2QeFu1Y8/jhSK8enOcjOZNp4l8zFmpBfvutJZuK5kZi+l+pbtdAHz5kkl6sZNCjqlVRXQavK+SRz4WmQqZ8Y0HVddHsL554QiYznv7BCOP06OtaMD+PgTeau5eUt03PvONHDFuRrGVjrNgXzwgQpa6W1G4rwn2zdiR1AICqeTIp/eF/AIpuGkbgfaBJZW4VNGQxP5A+c2bU7c9iEH6/ifb4TwvZuDOPxQyYtKjqoFpkwSMwoUYccEmAATYAJMIFsEWC4TYAJMgAlklYB8CspqEyycCTABJsAEmED+EjipMPFaWcuOu6VwJ5MjLlUD2Svvz2hoJesrr6n4wy0a/nSrhocfU/Hu+yrqbStxadU2uf60k+u6E50l2BJsM5slu/jNehea6+Vthn3FsVkgDz1ac0zmY7LVtYPnd1eiZtuGe7bGYsm9/FIdU6d0H9cxR+kYUS3T33mPyAIrV8lj0BHEdKGop42Jzz83vKRbCHzvfZkvgt3+G0LhGQqRQyvcQ6Kou0jKF0kJ/6uqZHJDgzwOhE+fdZogoLaPPlLHNVeFTHfzN4M4/RQdZSUGyHzVKSfp+OZXQ5g1y8ARbLudcLFjAkyACTABJsAEmAATYAKDmoB8Eh7UQ+DOM4GsE+AGmAATGIYEnHLxLfxBod0T4y9QHLi2HyugaWXzbf9wmLaa33lPNTeZbGpWsGKlipdfVXHr3zT86KcO/PaPKu58AHj/g8H1E32EexRodb5AhZX+JsxyV2HPXgUhNYR1U9dScjfnM0JoDPm6pQ/FBNo0lmxz28dW1IvS2F52sIWPPEKu2m5pUbBkqRJRuDcesgar1L0gEz5kJ95i8skiFW1yviZmqKbZJyNgppENfJ+4XEjh7pphJiX1KqukQr7BNpGVtHCSjE7R1j/u1PDBR337LG7cFK13gJhwmTTRADl64yO+yfJyAxefH8L++8l+x+dznAkwASbABJgAE8gZAW6ICTABJtBvAtEngX6LYgFMgAkwASbABAYfgTWBJqH07erWcZdLKtqDgcwowN5+V8XuumgzY8cYmDjBAG02GU0FWjsU3D36Tby1rHuf7OVSDT/wsIrf/VEzbUinWqcv5VRFgVvRzKoHumswxV8NUpBqugZXSTCy+h22v0+69mBxV70tZWgHDz5QKqGtUdLqZis81I7z5hgoL5OfnRde0kCbndIY96lxY3lXA6q1AoriyMOjTOyK7WXLFfOtj6MKRmO+e4RZ1pJBkdJSKZvCiVx1pcxPZqomUZ34tCeeUrFjp4IXXlLx579oWL5CfifEl0sW37RJ5lQIZTo5GeuPz3WZABNgAkyACTABJsAEmAATGAwE1MHQSe4jE2ACeUyAu8YEBjmBplAXFnbZNOHh8TgcUmEXCK9w3xnsQNCIKgfDxVI6tLcDtMKdCh92mI7v3xzE9deFcO3VIXz3W0F84yshXHaxjhMW6JgyAShvqYC3LT3lHsmOd7S6d/UaFWTWYtNmBTt3xpfIbDxkGCBqox1FaGyM9n92YTnW+Ju6NVYX8qLWUdgtfagmzJhuoKKCCMkRFgzxoR95uByrZbOeRn3Q2GJsC3VgnKOYouaK77GjZbmPF6rwdgL/fVHFo09o5lsfr7zoBL1dQoXtK+ALNZEiq4lA9//KsMKdchqbFDqk5d57X8WatdHbZJLxyOMaaMW7vR89Cd20WdafMrmHjvYkgPOYABNgAkyACTABJpBvBLg/TIAJpERAPgmkVJQLMQEmwASYABMYegRmuCqwNtDcbWCu8KaMtEq7UffhiY4NcCh9+9kkszFWAwfOMxC/gSgpYfeZoYPsPE+fZuCAzw6A0uGxqvT5+PGnsYrGDTYTF30W2kPF93y78FbnDtAEw9p10baPqxiJQz213WpqUDK6YWq3BvIw4eADDdO++Zz9DFSWD21F7Ly5OoqKoidhwngDR1RU4/vlB8RsVnzkkZKDPwDc9g8NH34c/Zxt3RoNt4mJq4i0jQqCvkisW6A6bMOdMh55TDXNwtBnmeK9ua1bFbz0qmyX9h847RQ9Mg5a8f7SK1pvIsyV8b7wSyqTeRPUXnllogDLYAJMgAkwASbABJgAE2AC+UJAPk3kS2+4H0yACTCBoUWARzMICFSobhxXMAadRiimt9bq481bFDz6URsmO8ti8tOJfLZcKp9H1sBUtvZU127Xu6VV1uupfLI8v1D2LVoU+zO/fkOsvDffVvGvf2sx7rU3Y+skk58oXd1dhl+sWoNf/1kF2am3yoyoBkrV8AyGlSiO5xRNRlmCdJE1ZP+POEzHV24M4fxzQ93MCQ21QTudAI3XGtfMGVKxTuaHrDQ67ruPDrJxT+HWuGt+R1sX7m5bRVmw53mKDBjht0/MzDiP5FmTZjt3SbMwv/2DA+9/2PP17fUCjzweLXPRBSEcerCOb34liNmzZf+Xis/zps2xn6W45rFBTAhYaaxwt0jwkQkwASbABJgAE2ACQ5oAD44JRAhEnygiSRxgAkyACTABJjC8CMx2VaEgbH/cGvnpJ4ciSsBPlwJ73xHaciszyZFMTdBmpw8/qsKyHd3crGD7dqmcmz2rd5M0RYVR4R3tUsEXTUk9tPgzFV1+WZ5W6VKIlISBcBqtvn37PRWbxYSC3ZEpDcqj8um6T/9bisOeOwmqLm8vHA7gEKGsJDlkjkc3Dc5QjN1wIXDwgTquuSpkuvnzkl//R4qJCIsJKctPPF6WVTpd2NTeYWa1tpoHuIQiv7BKgWEk/3wUFgA3fyOIU0/WUR5+k4BW0L/4sor/PKiBFOtSWtTftkPBv+51wLIVf/opOkaFX8xwivmiM04JweOR5Z95Xl7jMgYEAgBtsmrFLRNStaJ+/D4NVhk+MoHcEeCWmAATYAJMgAkwASbABHJJIPZpIZctc1tMgAkwASYwvAnk+eiLi4FrhaKwsspAbd0obPioBKRI76nbK1apePEVFXR85ln5E7t8pVS2U739witkKZzMFRVGlYgd3mjdZOWTpX/4saxLysZTTpLKSyq7eatMX7pURVAoCSmNbGiPHSPbDQaBpctl3ykvVUe2t8lmPJWfNNHAuWdL+/SktKQ0Msfzl+alaA51URRkO393yGuG2Ru6BGiVOV0P5CxldaLRHjDfQEmxYb4Bct3VIUycIK9H1VAQ7HTAawRBE1pUt6zMQPUcHa5SiiV3Ljdw2CE6vvnVEC46P4SCsLKczB399XYHlodXqtNE1NPPafjnXRr27JHyZkzXI5NFMgXmGwm0zwLF6Vp/6x3VnNSitzn+cIsD9/5Hg89HucDW8CTb5InRz57MYZ8JMAEmwASYABNgAkyACQxDAsNsyOk/UQ8zQDxcJsAEmAATGB4EnmjfAF+cWZmSEuA6oXS3VoiTIn37TqmwTkSloTGaummLgsVLlIjyesxoA5W2DTOjJWNDRcVR+R0dsXmpxkih2BDetPTgAw1zY0qr7vqwqYuPP5W3AOVCeXn950PmJq4UpnKLFkX7QPFU3I4d0Tpki37eHAOkbLXXvbJkBv7TvtZM+qBrN7YH2s0we0yACNBqdNpImCa7qqulwp3ST6rfHx5FQ0t4I2H6XFJ6Om72LANfviEIawNT2mfgkSc03H2vdJ+Gr3kyg3P8cTouvySxovzgA6zsvxgAABAASURBVHWMHiX79tobKv7wZwdeeU01V8yTffd779fMzVatySyrvXT6ymWZABPILQFujQkwASbABJgAE2ACmSYgn7YzLZXlMQEmwASYABMYZASciopV/qZuvW4r6MCJl7dG0tesjSqWI4nhQGNYyR2O4tkXNOzeLWP7CYWfDPXsl5WayjyzUF9XuFt2qsmkC5nxIMW3ZUd6w0YVW7cpkZW8tLLYbEx48+fJtsnm9e46kZDGP5njsIqPHSvlWHHrWKl5cGnJNGwPtqMu5MVIh81+jlWIj8OWACnFi4rk8Gk1uhVur3dAhRJZ4U4K96APCPll2VR9qnf1FSGcfmpiZfqc/Q18/ctBHHNU4nyrnTNOi+ZbK9qtvO1i4unhx1QrionjE38WIgU4wASYABNgAkyACTABJsAEmMCQIxB9IkhpaFyICTABJsAEmMDQJDDDVYE1CRTur3ZuQ2GJDkuJvGZt8p/OxvAKd8tms7XKlYjN2jd1xZvbRTUAWoUrQ6n7ZEPesh9NCkSyZU21p06R7ZPJjNdtG6MeOD+qPKRV6VSW3KeLk4+T8uOdZae+pgaw+h9fhuJVqgdjHcWoFsfRjrB2lTLYMYE4AtVV8pqtb5CTXC0t8kiTUm2bFbSHzSPFVes1eshBOn76oyC++60gvv6VEL70+aDcyPacEEgp35sAMr9kTVSRjXYyV/OD7wYjb5KQWSaSMUEo28n2O4XZMQEmwAQGJwHuNRNgAkyACTABJtAXAuk9TfelBa7DBJgAE2ACTGAQEJjuLMeCwrExPdUNA1uD7ZjoKME+06Xyj1asW5sqxhQWEcuMy/y5OubsJ8uLZIwXijeyO03hVFxRkazb3iEVjKnUoTKbtyimDXkKkz3sE44LUdB0UyZHFeuWQn7WTB3WKmIqRH2cNlW2/dlSlZJSdrSylwqPS7K6nfLs7syiSdCQ3vgi9TkwLAhUV8thLlJ24vXG8KsiIomU4qoT0AMi0o9/mhgjM0+jR8O0HZ+OKPps0Wr5G68Pglbm0yTTNVeFIiZrSNaUSfKzRGF2TIAJMAEmwASYABNgAkyACQwfAuk9TQ8fLn0aKVdiAkyACTCBwU2gRiuIGUCL7sd5RZPNtH1mRBXWq9d0VxRbynYqTDbfTz0lBNp4kVbCLjg2Wpfye3NFxbKE1yuPqfgtLQoefESLFL3sEj1GmT6qFiDb2JECInDggd0VgtRfkWVu/rhsefdxUl6821uvmOUpfdzY9MZKddgxgUQErBXuXW0atrVF7ceUlgLOQoCU7onq5SKNJqqmTO7++SEl/Bmn6uaeCMcew5+FXJwLboMJMAEmMFAEuF0mwASYABNgAskIqMkyOJ0JMAEmwASYwHAksMLfiG1BuZlnhebGvq5KE0PNCKCiXCrYEtlxb2gwi5lehahCplxo48Wzzwhh8kRZz8xMwSsskOVTXeFOJiweEMr2zk4p/KLzQqBNWmUs6k+1KQhpNXuifs2YpoNW/lKtTxaldpuwbTuVlo7MbcgQ+wNEYMg0W10lh+IMuLBlb0BGhF9SYqBwlIGy8NsYIimv/g8+SAd/DvLqlHBnmAATYAJMgAkwASbABJhATgmk9iSd0y5xY0OTAI+KCTABJjA4CFSobrzq3YbbWpahVffHdHqffaQifN16Bf7YLDQ1KZGyVWFFYSQhzUBxsZTl9cr2eqtOpmR27ZKlDjtUx+zZietNnRpdcXvYwQYU2YysGPY1DSCTOBTdtFlBU3OCQpRpczu2yzK00SVNTNiyOMgE+kygutIw61Y0V2DUyilmmLzSEvLZMQEmwASYABNgAvlLgHvGBJgAExjeBFjhPrzPP4+eCTABJsAE4gjQRp7XlM7ERcVTEYJU+FlFpk+LxjdsVK1k89jQaB7gcABlJdFyMjU9v6hQ1m9pkYrs3mo32pT9hx8q6yaqs79QxNNGkTdcH8R822ap8WXn7h9VzG/ZEp/bPb51h2RhbSzbvQSnMIH0CVRVy2tZgYJtm8UHKyyiVHy+9CAQSHOPA7M6e0yACTABJsAEmAATYAJMgAkwgSwTkE/IWW6ExTMBJtAzAc5lAkwg/whUawWg1e72nk2aYIA2R6S01WsVOkRcQ6OMV1ZEkvocsEy6kACfj/yeXVOTzFdEF8pKpZJSpnT3STbZc/e4u+dZKTU1gNMpYzt3CaEymND3B4A9e2QWm9GQHNjPHIGqqtjruaRYxoNeYO+nPV+bmesFS2ICTIAJMAEmwASYQOYIsCQmwASGPgF16A+RR8gEmAATYAJMIDMEVPGrOW26VPiRHXdDBk3hjeEV7lWV0dXhZkYfvOKwUpGqpmLHvamZSgIVYRMcMtY/v7ZWDm7n7p6Vmtt3KLA4jBsr6/SvZa7NBKIErI1TP9tvCQKOAGjDVMpVxYQQrXKnMLuMEWBBTIAJMAEmwASYABNgAkyACWSAgFAdZEAKi2ACTIAJZI0AC2YC+UVgn+lSoe71AqRspt7pIsky61JZSSn9c0WF0frejmg4WaipSf6cV5YnK5F++qiwwn1XLyvct4ftt1ML48axwp04sMscAWvjVOiKVLiXyGuMFO5O2+ckcy2yJCbABJgAE2ACTIAJMIGBI8AtM4GhQUA+oQ+NsfAomAATYAJMgAlknQDZcSfTLdQQrXKnY1NTdJV3ZQZWmReGbbiT7HZvzyvMqUxTE/lARblURspY//xRI6WsQACob0jeh23bZTu0WaplbkemsM8E+k/AWuE+e/Vs7K7dhZJSKVN1ACMPFTNdMso+E8g+AW6BCTABJsAEmAATYAJMgAmkSIAV7imC4mJMgAkwgXwkwH3KPQGyfT5xglRGr10nf0Ybwwpv6k0mVrgXF5Ek6bwdsi0Z6+57OwFfl0zPhP14KQmwVrhTfPdu8hO77TskA17dnpgPp/aPwIhqWV8LaZi0eTJKS4CePxGyPPtMgAkwASbABJgAE2ACTGCoEeDxDB4C8il58PSXe8oEmAATYAJMYMAJzAjbcd9dBzS3KGhsiq4Aj5jA6EcvS/6fvfsAcOSs7z7+G7XV9nr9zndn+9x7AwwGY1NMJ/TeQgiBwBtKIIQkkJAQSKEktNAChBBaQiihm24b4977na/37UV93vmPtki7kla7q91V+Z490swzzzzlI2kl/efRM15QcerwsbGZsqfScu8Hc4L93T25e5a2vnHjzPGHDue34eHdjv7vhwH900eCGpuc8mbLJkYbz4ixVimBvr6Z8LojR+3trg6mxvRAYlCJYS/4ztOuUtSUgwACCCCAAAIIIIAAAhUSWFDAvUJ1UgwCCCCAAAI1LXDaqTNBQJtWZuqCqdapzo6Zfba92KW5OXvk2Hj2vtht/+DMW3l3V2Wjj+vXZWs9mHPh1GuvC+jzXwzq+t8FNDzs+BnCEWnrCf4qNwhUVKClRZp6LVjBnR3SQCauWxPHdOxWR8nR7HPQ9rEggAACCFRWgNIQQAABBBBAYHECM9/SF3c8RyGAAAIIINBwAj3drmzOcuv4/Q84OtafDfqtXWsplVlaJ+dxn28O96Ghmfp6u2fWK7G2YUP25MGBnAun3n5ntq9W/onbXT3vOWn92dtS6u3N5rX0ZV4ovsEE1uSMcu/wAu6tgbAm3JSckJRJ8rxrsKcD3UUAAQQQQAABBBBAoOoFCLhX7CGiIAQQQACBRhI49ZTsaPIHHnR06GC2573d2bTs1tJu29qyx4+NZu+L3fYfz+6xkcCRpux6pW7XT1441aaNGR7xTiwcdzQVfH/CFRm96uVpnXOWq3C4UjVSDgJzBXp7Z9JsSpl1wRZd0LRGTV3S1AWMxT8EEEAAAQRWVIDKEEAAAQQQKC5AwL24DXsQQAABBBAoKnDa5DzulmFkclqLSlww1cqzZWqE+9j4zIhyS5+99A9m99uo+9n7lrqde+HUg95JhdvvyNZl5Z6yo3InF6w8lgoJ1GExl1+W0atfkfaXpojU7AR1VqRXPWe4aqrgdQvqkI4uIYAAAggggAACCCCAwCoIEHBfBfRGrJI+I4AAAvUmsHmzKxtVntuvSgbcm1uyJY/OM8J9YCCbr6sre1/J202TU8pYmYcOObr5lmzA3ab4mJrf3faxILCcAt3drrZvyy7LWQ9lI4AAAggggEBlBCgFAQQQaHQBAu6N/gyg/wgggAACixKwqSxO2ZE/f3RvT/72ogqePKitNbsyPi65JYodWMYR7nYxVAt2WktuuMmRTStj6+eeU6JBloEFgWUW+MXEfo2Op5SOLagiMiOAAAIIIIAAAggggAACyy5AwH3ZiakAgfkE2I8AArUqcNqp+YHnnu7K9aR1MuBuJdoc6nY/exn0gu1Twfjurvy2zM672O0Nk/O4TwXbrRwC7qbAspoCDyQHdWRvWsMPZ391sZptoW4EEEAAAQQQQKB8AXIigEAjCBBwb4RHmT4igAACCCyLwI4TMwoGs0XbiPeuCga9p+Zwt9LHxu127tI/OJPWvUxzWa9fP1OHrdlUOp0drq2yILBqAm1OWLFQSpnUqjWh/iqmRwgggAACCCCAAAIIIFARAQLuFWGkEAQQWC4BykWgmgVsypVLLspo21ZX555d2SB07gj38fHCo3iHcgLulRxdn2u+MWced0s/r8L9tDJZEFiowKOi69XdFlYwstAjyY8AAggggAACCCBQrQK0C4F6ESDgXi+PJP1AAAEEEFgVgac8OaPXvDKt5zw7XdH6W1tnAvhjRS6cenwgG4j3R9d3zuSvZEPW5Yxwt3rOOitTyeIpC4FFCWwLd2jDuoi6Tlme5/2iGsVB9SxA3xBAAAEEEEAAAQQQKFsgUHZOMiKAAAIIVJkAzalngbbcOdyLjHAfnAy4d/csX9Cxs93V9m2u2ttcnXyyq5bmelanbwgggAACCCCAAAIIIIBANQrQploSIOBeS48WbUUAAQQQaBiB5pzA9uhY4W73D2TTuzuz98t1++pXpPWnb03r5S+u7Cj+5Wov5da/wIHUmG4cPaLEUP33lR4iUPUCNLAmBFx3+U7O1wQAjUQAAQQQQGAFBQi4ryA2VSGAAAIIrJxArddk07dMzeM+VjTgnp1SprubL9G1/njT/oUJJJXRPRNDOnIjH2UXJkduBBBoRIG7Ev36VexAI3adPiOAAAIINIhAtXWTbynV9ojQHgQQQAABBCYFSgXck0lpfDybcbkumJotnVsEqk+gLRDWSCCuTKr62kaLEEAAgRyBqlj9XfywTgxnfw5nvxCqikbRCAQQQAABBOpYgIB7HT+4dA0BBBBAoLYFWluyI9dHC8zhfrx/pm/d3TPr5a2RC4HaFugKNOmx7RsUaa/tftB6BBBAYLkFhjIJxTJpbQm1+VWllNFvY4f9dW4QQAABBBBAYHkEqivgvjx9pFQEEEAAAQRqUmBqhPt4gSllBgZn3sJ7ujI12T8ajcBiBYJydFakV+sv5bm/WEOOQwCBxhDoDET0R51nTXf2hFC7bo4f0c61FUkpAAAQAElEQVTU8HTaqq1QMQIIIIAAAnUqMPNtvU47SLcQQAABBBCoVYHW1skR7qPZudpz+zEwecFUS2OEuylUbqEkBBBAAAEE6lng+W0nazyTrOcu0jcEEEAAAQRWVYCA+6ryL6hyMiOAAAIINJjA1Aj3eGJuxw8dygbhm5ulaHTuflIQqHeBX0zs19H+hJjHvd4fafqHAAKLFUi5GR1JT8w5fE2w2f+V0JwdJFSTAG1BAAEEEKhhAQLuNfzg0XQEEEAAgfoWaJucw916OTScDbDb+sO7Hd16e3b7pBOzo+AtnQWB5ReonhoOpsZ08K6MksyKUD0PCi1BAIFlF9i1gD9618YO6e5E/7K3iQoQQAABBBBAIF+AgHu+B1u1KkC7EUAAgToUaG3NBtWtazfcmF1PJqX/+Xb27bspIj3lSWnbzYJAwwm0BcKKB9PKpLKvjYYDoMMIINBQAsfSE/qXodv184l9Knf+9TsTx3VWpKeg02gmqe+P7y64j0QEql6ABiKAAAJVLpD9xl7ljaR5CCCAAAIINKLA5k0ZtbdlR7D/6jcB/ff/BvWjnwY0OJgNMF7lBdvb2xtRhj4jIF0cXac1PWE5VfRplscFAQQQWC6BuJvWy9tP1Ws6ztCJoY55qxlMx3WGF2zvCzYXzGsnLY+lYyo2Yt51Xd0RP660sp9DChZCIgIIIIAAAggUFOArSkEWEhGoKwE6gwACNSpgwfQ/eE1GHe3ZL7u33e7odzdk37q3bXV14QXZ9BrtHs1GYEkC64Mt2nZaRNE+XgdLguRgBBCoCYFNoTZ1B5rKbmtXsEmXN28qmf/CpjW6OX60cB7H0W/jh3QgNVZ4P6kIIFCtArQLAQSqQCBQBW2gCQgggAACCCBQRKCry9Xvv3pmpPtUtmc/MzO1yj0CCCBQAwI0EQEEFiPwnyP3aSATzzv0oeSQdi5gLve8g3M2zoz06KrWE2Sj2XOS/VX7Ld3J4S49nOJCGT4INwgggAACCCxAgID7ArDIigACdShAlxCoAYFuL+ieO9L9SU/IqKebUb018NDRxGUUOJqe0K8GDinJ4MtlVKZoBBBYTQGb7sWu1DJ7ZHt7IKIfj+8p2rTvjT2s4+lY0f25O1qdsBzHwuu5qVLMTeu8pj71BKL5O9hCAAEEalmAtiOwQgIE3FcImmoQQAABBBBYioCNdH/tqzM6ZUdGlz6S0e1LseTY+hCw8NCuA+Ma3mlr9dEnetG4AvQcgUICdyb69ajoujm71gab/ZnV7cTj7J2/jh1QayCs3mB5gfKMV9JwJpFXzEgmqU8O3SEL9Nso+LydbCCAAAIIIIDAvAIE3OclIgMCCCDQsAJ0vMoELOj+shdnFODdu8oeGZqzGgJtgYhGg0llUqtRO3UigAACyy/wjNZt2hHuKljRC9tPVkD5JxwH0nFZsPzx88zdnluglfGdsV3amRyaTr43OaDTIt3T26wggAACCDSEAJ2soECggmVRFAIIIIAAAggggAACKyIQdYK6vGe9Qs0rUh2VIIDAqglQcSEBm+pl9ij27mCTntqytVD2kmkXNq3VjfEj03mOpSd0bqTP374vMaC7Ev3+OjcIIIAAAgggUJ4AAffynMiFAAIIIIBAvgBbCCCw6gJnru1U92nuqreDBiCAAAKVFngwOaS0yvv79pvYwSVVf3qkWy1O2J+33Qp6ihe03xhqtVV/eprr44f9dW4QQAABBBBoWIEFdpyA+wLByI4AAggggAACCCCAAAIIIIDAcgnYiPJb48cUnDVlzOz6bo8f0wcHblbKXfq1XZ7euk32y6HZdWwOtelwalzJCtQxu2y2EUAAAQQQqFcBAu71+sjSLwQQQAABBFZPgJoRWBGBX48d0J6jEytSF5UggAACKyVg07tcHF07b3XnNPXptR1n6PIFzNk+X6G7kyMamnUR1Vd3nK6Ulh7Un69u9iOAAAIIIFAvAg0WcK+Xh41+IIAAAggggAACCAwmkzp0Ew4IIIBA/QiMuymd19SnraH2sjo1ex73sg4qkumW+FF9auROtTvhvBzrgy1qdkJ5abWxQSsRQAABBBBYHQEC7qvjTq0IIIAAAggg0KgC9LtiAm1NISUTrpjpoGKkFIQAAqss0OIFtqcuWLrSTbELsT66aYMCjrPSVVMfAggggAACdSVAwL2uHs6ldYajEUAAAQQQQACBWhI4v6lP6zeG5aYJDtXS40ZbEUCgOgW2httlc7kXat3nR+6Zvqhqof2k1Z4ALUYAAQQQWD4BAu7LZ0vJCCCAAAIIIIAAAgsTWFDurkCTTroorEDYXdBxZEYAAQSqUeCuRL9+GztUjU1TlxPRntSI+IcAAggggAAC8wsQcJ/fiBwISAIBAQQQQAABBBBAAAEEEFg+gV9M7NeOcNfyVbCEks9rWqMbYoeXUAKHIlBLArQVAQQQWJoAAfel+XE0AggggAACCCCAwCoJDGcS+v6hvUrHV6kBK10t9SGAQF0J3Bo/qoOpcb9Pu1LDsl/t9Aaj/na13ZwY7tBL20+ttmbRHgQQQAABBKpSgIB7VT4sNAqB2hKgtQgggAACCKyGQKtCOrw7rfGDzpzqk5mM4srMSScBAQQQqAaBa2IHdW9ySONu0m/O9pAFtE/x17lBAAEEqlmAtiGAwPwCBNznNyIHAggggAACCCCAQBUKBAMBtUdD2j+RHSGa28Qvjd6rDw3cnJvEen0L0LsGEbAB4bHjtd3ZMS/IHpSjF7WdrJPCnTXVmYdTI0q5nMysqQeNxiKAAAIIrLgAAfcVJ6dCBBBoLAF6iwACCCCwnAKPW7dendHInCraAmH9UcfZc9JJQACB2hYY2e1o+GFH6cTi+zGSSejqiX0LKuAH47t1S/zogo4plrnVCeuR0fXFdld1+qHU2ILtqrpDNA4BBBCoqACFIZAVIOCedeAWAQQQQAABBBBAoAYF1qwPacP24JyWv7Bth7qCTXPSSUCgIQXqqNPxIclNOBrb7yy6VzE3rfFMSl8cuVeu685bjuW4MXZE64ItujZ2aN78pTK48v4ro85SZazmPjtRcGP8iNI13IfV9KNuBBBAAIHGECDg3hiPM71EAAEEqlKARiGAAALLKZCu8cDWctpQNgK1KtDU4ah1s6v44OJ7sCbYrGe0btPlzZsUU1rz/bs70a/Ht2zWxlCrfj6xzzvCQvDzHTV3//2JQX1jaKccZ/EnC+aWuvIpr2w/TYfTc6fyWvmWUCMCCCCAQC0JNFJbCbg30qNNXxFAAAEEEEAAgToTyKSkH+4/IAtkTXVtX2pUNkfyt0Z36u7kwFQy9wggUAcC3Wdk1LJeCrctvTNbQ+1qdkLzFnRmpEePiW7w850V6dWd8cVNIn9XvF8nRjr8cmr5ZnOozT/5UMt9oO0IIIAAAggsp0BgOQunbAQQQAABBBBYrADHIYBAOQJuWuq5o0f3JWeGu35++B7ZHMlrglEdS8fKKYY8CCBQQwKBsKuuHe6iWnwgNabvjT0859j/GLlPR9MTc9JnJzylZau2hxcXNE+6GZ3a1DW7SLYRQAABBBBAoM4EFh5wrzMAuoMAAggggAACCCBQuwKBiNSVbtLO1JDfiQe9wPtJk8Gw9cEWDWfifjo3CCBQ+wKx447iS/zRysOpYUUDc6/78PL2U2Un62x+91ypXclh9WdmTtxFnIA67A9PbqYy11/QcbLaA+Eyc1dJthLN+NjQHUp5JxFKZGEXAggggAACDSlAwL0hH3Y6jQACCCCAQG0L0HoEpgRsKuSejQH9ces5flLCdfXoyakfTo106xmt2/10bhBAoPYFhh5wZL9qsZ7EjksxLwBv6wtZDqTGtSHYWvCQt3edr4eS2ZN3lsGmp/ra6APqCURtk2WWwEVNa/SziX2zUuffHMkk85znP4IcCCCAAAII1JYAAffKPl6UhgACCCCAAAIIILDCAn3nuwqGHL/WM7wg+7bJEe5+AjcIIFA3AnEvFh7pzHYnk5aGd2Zf99mU8m6f0LJZp3t/JwrlDnpn8M6M9Ezv+tbYTj2v7aTp7amVh1Mj+tLIvVObZd3vTY1qKJ0oK2+tZHpkdL36M3HN/lVAsfaPuyl9evgufdZbypm+p1g5VZROUxBAAAEEECgoQMC9IAuJCCCAAAIIIIBArQo0ZrttWoMJL5gzu/ejmaQy7uLmep5dFtsIILB6At5LWd2nu5qakaXJC7zHBhb+2u4KNCk96ig+c9mHop16U+c5Ojk8d871baF2Hc/ENOYmix47e8dXR+5XOFB/X79f1LZDUWfuFD2z+2/bdnrkma3b9Zau82TBektb6HIkPf88+wstk/wIIIAAAghUWqD+3vErLUR5lROgJAQQQAABBBBAYBkEbE7nZEx6X/8NeRdPtars4ogPTs7vbtssCCBQmwIWaG8/YSbAHmySek6XMqmF96f/bkcjey38u/Bjp464PLpZ99ofn6mEEveH0uPq9AL9LU6oRK7a3vVwcliJeeZzb/b6b9fWmOqpXey63BOiQ5mEPj50h4bS8anDua92AdqHAAIINLAAAfcGfvDpOgIIIIAAAgggUA8Co17gLHU0qK2hDjmzRrP3BaPKnbqgHvpLHxBoZIEDqTFdHz8smwe8bYurwAJi2NfGDuoab4kdc9R75kzwvhxPi/MO75oJ0p/f1KcLo2vLOdSfcuVxzRvLyrscmUb3BnTgl8v71b/FOyPyocFb9MuJ/coo3/YrI/erP+2dFZ3VuVtiR1XuCVGbwueFbSdrR6RrVilsIoAAAgggUH0Cy/uuW339pUUIVKsA7UIAAQQQQACBRQoEIlImIf1h55k6ZdbczFvC7X6wa5FFcxgCCCyjgI00P3LjTBA7t6rZ050PPeQoNe7oN17A/FhqQj8a35Obvaz13alRrXGateWJGTkL/CZsJ/Ys6F5WRbMy2RQ0dhHnWckrtjm631XnydLUBWeXo+K1wWb9WfeFcrz/9nsnRabq+MH4bu0Id6rHO/k5lTZ1v9X7+7w7NTK1Oec+d/S7Te/T59UxJxMJCNSmAK1GAIE6F1jgx4w616B7CCCAAAIIIIAAAjUnEO2WgtH8EZVTnTg13KUrmzdPbXJfUoCdCKysQGJISgw5mjg2t95jtzgaetCZ3jF4vyN7ne9Jjujy5k26J9GvxKjy8mief/u9gPvmSJsCYSnpHdt/Z/lfh8cPS5EOKXegtuu6+sXE/nlqrcxuOzmxmJJslpfuU1y1bvJOMgQXU8LCjnls80ZtCbX5Bw14ZyjWBFt0cXSdvz375oxIj2yamdnptn1H4rh+Hptrm5arjw7dZllYEEAAAQQQqFqB8j9hVG0XaBgCCNS9AB1EAAEEEECghEDzOldtxNRLCLELgeoUSCcctW5wNXF4JrBuLfUvkHqG6we3EyNecHzEUbjFVcxJ6/KWTWr1IubPaztZ/U3jGnwg/1g7vtjy1s7zFE2H5MXJFfZiwuNHpFQZ1+C0oHXnSVaqZyiIdAAAEABJREFUq/67Z75CO47jhX+lX8cO2M6Cy4AXob8x5lVUcG/pRHOwUf2WK9zq6sCvvb4WPrdoWQoujtfcpp7srtS4tJg577NHL/y2O9iki5rWFD2wMxDRY6Ib5uy/PnZYd3snVK4scLI0KEcbvCD+PYmBOceRgAACdSJANxCoAwHv7bcOekEXEEAAAQQQQAABBBAoImBzuKctwlZkP8kIWEB1/JAXzCxBwa7KC6y5IKPOU1xF+/LL9uLpirRLPWe5CoYdOUFXvee4anaCXgB3rZ/59Ei31odb1NTjyoLyfuI8N6mRgA5d65XnZDNasH/8wORGNqngrQWtW9a7ivY4ivXnR7wfG92oX00UD7jfmjiuCaUKllsq0eaZP3KTo5B3osHytW+Ves92NbLwmXTscH+xAP6h66o7BDDmNTIaCOqFbTv8Nhe6OTfSpweTg4V2kYYAAggggEBVCFT3u21VENEIBBBAoKoFaBwCCCDQ8AI2f3ts1pQUmfTMSM4fj+/RrtRQwzsBUFzAppweuG/+wGvxEtizGAELqttFT1vW5Qexc8uyaWRCLVJTd27qzHr3qa4/RcxMSuG1tFyNHnLVsn5mf/dpruzCqzMppdesLS1evD+TnHmuBB1H/6/zXI27hYPqu5LDOjPSW7rgWXtj/dLIw47WPzLfpalLssD7rOxFN21E+8Ffz3zlj3RKoWbJpscpetAK79iXGtXO1PB0ra3e2RYLqE8nFFix+fCf0bq9wB6SEEAAgboXoIM1IhCokXbSTAQQQAABBBBAAAEECgqkk9LxO/I/1o7ucXT0pmzaWi9adzQdK3gsiQiYQDohBSO2xrI4gcodNbzT0WCRkx+/iR3UaMZ7wU9Wd0v8mPa1DikUnUwocncoPa6PD92ugZGkP4XNdDZHCpTxuB+5IaCpqVhspH0gnB8Ib/OCxC1OSBOzgu7W1ld1nKaeQNN0leWs2MmFNRdlyslaMs/ofkfRNflt7T0ro3TMKXncSu4MyNHV43tXskrqQgABBBBAYNkFAsteAxUggAACCCCwWgLUiwACDSEQ9GJZ6Xh+Vy1glUlmA03bQu3KKLuen4stBLICTtCRTRly7LaAYserJxiZbV193tro6yM3ZK2TI3bSLLs+sttR6+a5r9eYm9Y1Ewdlwe0pkTXBqH5ZYjoXy3cgNabvjO3Sc1tP0kkXhhVut9SZxaYTsmUmJX8tPugoHXdlI/Hz98zdsqmrfp5zEVVra8ALKM/NWTrFyVIUzbT/F16GuURz8seOOmrfkp/skal9axkH5x+2bFsbQ606lo4p4T2+Xx65T7tT3pOhjNrs5MbRdBkT8JdRFlkQQAABBOpEoIq6EaiittAUBBBAAAEEEEAAAQQWLGCBMAuW5gbNwm2umrq8oJRX2o5wlx5d4MJ83i7+R8AXaOpy1bHdVeumjIYWcBFO/2BuFiWQikmZyalZLAg+ftiRXcQ02usq3Dq3yL1eIPYEy5iza3OoTYFYQLtvTeWk5q92BCJ6XceZ2uTlzd+T3YoPSkcmfw2TTcm/nTgiNa+dSbOTe+OHZ7Zz1yzAHvKi5Rbgzw0G5+YptW4eo/uyf7dK5QtFHU0cL5Uju2/9pRmFWqsnuJ5t1dzb57edrPuTg0p5f8S3eidI5+aYm9LshPSfXoDejpm7lxQEEEAAAQRWV4CA++r6UzsCCCCAAAKrJUC9CNSVQN95rpzJT7aZpBdAuyGgnrMyddVHOrP8As19khfHk424Fv+WVcAC14GIO11H81pXNmDZpmyZTsxZscD5E5o356RkV5/bt13J/SHN/hGLjYAeySSmR8QP7/KypLPH5N5Ge6Roj6uBewoHum00eOfJM+20X9QcudH7YzOTlFucLotu1COi67Um2JyXXs7GoeukSMf8OZu8kxKxY878GYvksDnix8q4WGyRwyuefHK4U4e9B/+q1q0LKntruEP3JAcWdAyZEUAAAQQQWAkB75PCSlSzkDrIiwACCCCAAAIIIIDA4gUSQ14gysmPhu1NjSo1OyK3+Co4ss4E4oOOkqPZTq29KDNn2pHsHm4rKWAnN3rPmnmd2nrrxuI1rAu2FAxitwciaml3lBjxXvea+WejzG06GUs5fH1AFih3grY1d+k8yVXrRnf6OZCbwz9u1rfmaLcUKxHnXbeIYPvQg45a1ssLuM+Y5LYjd73LOwHQtaN4Pptvfvxgvkfu8YGwquiXHNmWXemdTFnvPcbZrfJuH9G0zp+Kprzc5EIAAQQQQGDlBGZ9dFi5iqkJAQQQQAABBBCoWgEaVnMCNtrTRsxawxPDFrTyAmLHHKUmp/i9LnZIDyYGbTcLAnMEhh+SkrMCtnMykVBRAQv6BnMudmq/ULG0xVSy5gLXC6jnB6B3JYe1PdzpX4C148SMF1AvXXKkUwq3ZfPEvT8VIw87Gri3cNDaH/GeX132wAXeZian1LHD2ja76jqlzEK9ZhU7eWBlHbo2UHIqmUi75E/pk1JN/7P53y9sypnvp6Z7Q+MRQAABBOpJIFBPnWmEvtBHBBBAAAEEEEAAgbkCI3uzAXbb07opG7iaOOJobHKUp404tSkLbD8LArMFUnEpd3qTeL8XkJyYnYvt1RLoT8f0/fHdRav/mnufjobGp/fb/OnnNa1RxIviW3C8ec30rnlXkmPS8Tsc2X1zX+EAuE1/E+2dt6iSGSzgffj6mSy5Jx9mUouvuRnJLdA8O0lgo/Xnm5pm3SWu3AJT7BSvkT2rIUCdCCCAAAK1KUDAvTYfN1qNAAIIIIAAAgislkBV1huMSOlEtmk2BUQgJIVaXKUmY3A7wl0Ke8G3bA5uEcgXsHm8p0Y3255xO1mz37FVlmUS6L/b0fiR+QuPeVHhb4/tUnegqWhmG+n8YHJoer/Nn35Vywn+dqmR4H6GWTehFmnjZa56znQV7Zu1s4KbNs1N37kFIuZl1jH8kKOh+2c9R73i7ASDLfMV09Ttyv5Wzpev2vfbtEH3JUrM71PtHaB9CCCAAAJ1KRCoy17RqQYVoNsIIIAAAggg0KgCNto0NOsahdFeVzZ1gplYQO7S6HpbZUFgjkD3afnBx1Czq+T4nGwkVFAgOeyonHNg+1Kj2hHp0qNKvH63p7t0/IZgXuuO3BDQxFEnL62cDafMQyzgnUmWU+LcPHbR0r5zXIXb5+4rN8W/cOrxWY31Nu1kY7ll1EO+zkBE3x17uB66Qh8WLMABCCCAQPUKEHCv3seGliGAAAIIIIAAAgiUKdCy3pUtCS+Id/h6L+rkHWfBrPatrre2gv9TVV0I+CPeW+uiK1XbiXTCO8kRyb5WZzcy7qa11wu0W/rJ4U49JrrBVosu29vadN7Ietk0K5bpzkS/xg+7ihaZEsbyLHUJtrjqv7Nw++cr255fNsJ8vnyl9lsZqbj398373/IN3u8okyy/PWY19bfSjq/VpTUQVm8wOv18qdV+0G4EEEAAgfoSIOBeX48nvUGgqAA7EEAAAQQQaASBxJDkxV4KdvXB5KDG3GTBfSQ2roAX29XxfWl9aPDWaQQ7WdN50mQkczqVlUoKrLnQRngXNv7c8N2KOvkj1uer237NkhyRdqaGdcehQf8iqeWOVp+v7EL7W71zAK2bJAt0F9pfLC2TKjz3erH8pdI3P97zc6QDvwr4JxwDYW+71AE5++zXBemEo4T3NzMnuSZXn9m2nSnDavKRo9HLKUDZCCCwugIE3FfXn9oRQAABBBBAAAEEKiCQjksTR6TEsJR7scCRPc70hQEfTA7prkR/BWqjiEUKVOVhyTEvaPqQo8ubN+nTw3dVZRvrsVHhVskC4r+LH5ZNG6PJf7+aOKAzIj2yedgnk8q667goqURzSru8PwJb1jZrzQXlB5/LqqBApua1rrpOKb+egQccDTyU8ftdoLhFJQ15z901F2by/u6VW5CNso8PeBH7cg+o0ny9gajWB1uqtHU0CwEEEECgEQUIuDfio06fEUBglgCbCCCAAAK1LpBJSP33BNR9uqv2bTMBsNE9XhB+JBtQWh9s1aGpq6jWeodpf8UEMglHrU1BXdC0Rq/rOHO63LEDko1Gnk5gpeICdycGdFq4W7+ZOKj7k4NKyZVNIWMnPxZa2VgkoS/H7lV7IKyzwj0LPXxF8g/uctWxpbJfwe2XGHbyYjEdsGsXtKxfzJEcgwACCNSyAG1HYPkFKvtuv/ztpQYEEEAAAQQQQAABBOYIBCJecNQLuts0CTZqdipDqFVKjWW3Tgx3qKfYfDPZLNw2oIATctW2Kb/jGS/wO7LbptvInqzJ37tMW3VarI2gPnhN/tdOO+916LeOfjKxx5OWXtS+QxPe2Y2RTEIb7UW7CIu1wWaNe2WcEepRy1jTIkpYwiHeOb69P83v4+zSEkNSx1Yp3DJ7z+ptB0JSMOo1fvWaULGab4kf1W3xYxUrj4IQQAABBBBYikBgKQdzLAIIIIBA/QvQQwQQQKAWBCzgbtM7uLNiR+2bLaCU7UGHl2m+iy9mc3LbSALBzox+1P1gXpd/PrFfw00xWWA4bwcbCxYY3Su1bcl/YabjjjJpaTidUKf3urRCz23qU3egyVYXtaRi0iW3naR9exKykyWLKmSxBzlSy1rXq7d4AZFOqffU4vurbY937kJ2EiE17nWu2hpXoD3nN63RLYmj2pMaKbCXJAQQQACBcgXIVxkBAu6VcaQUBBBAAAEEEEAAgVUUcLyYkAXcj97kreS0I7rGVbQ3P9iXs5tVBLTbC9DF7MqpORb2jDm6ZliBJlvL2cHqggUyyQIB94QrN5LR41s2l1vevPlCUemEiU51H21TtG/lH7eOk+w6ErX39fr4nVK8f267bfR763rr08pbzvtgF8nwyrbTdGP8aJG9JCOAAAIIILByAnPfWVeubmpCAAEEEECgxgVoPgIIVJNAcsRRpKN0i2ye6MPpidKZ2NtQAnuPxHRCojOvz2uCUR3rGVXL2rxkNhYhsOZCL7iektzMzMHRXmnDeQFV+hcn4TZX6YSjlnUzda3UWrjV1dqLczqZU3HsuKOJKo0D954lHb5BshMjU02280+23brJe+zS+Scxp/JU473jOHpO64klm3ZfclAPJAb9PBl/QiN/lRsEEEAAAQTKECg/S6D8rOREAAEEEEAAAQQQQKB6BVLjmjOa3aZFGHl4JmA0kI7rVkZAVu+DuAot27yvV2cn1+TVfEa4R4+NbshLY2PxAoMPOMp9Hdro6UC48iOn1z/K1YZHZ+RU2bfc47c5WuyFTctSX2KmLU/IaGTPzN/J3T8IKBCWmrpddZxU+cdpic0t63D75crsjNfHDuvh5LBODmdPsB1NTejq8b2zs7GNAAIIIIDAkgWq7KPIkvtDAQgggAACCCBQJQI0A4GVFug7z/UC7vm1BkKSTZkwNbf7umCzDqe9yHx+NrYaWKA1GVZzNJgnEPYitl2KKjcImZeBjXkFbET70E7HzxdplxIj/ur0zeAGv/gAABAASURBVO7kiD+dz3RCBVYc72H0HroKlLT4IsYOOHmj+W1ku10HNlRFF0ud3Ttz65wMrB+/3VHv2ZnZWWpuO55J69+H79GEm/LbfiA1JhvR/uSWE+Q42eflOu9B+U3soNKMdPeNuEEAAQQQqJxAIwbcK6dHSQgggAACCCCAAAJVLxBudaYvfrkl3K5Twl1V32YauHICzWtVcPSxBSH778wPnq5cq2q/ppGHpanZmyIdribjnn7H+u9ydNf+EdkvTvyEOrpJjkpDDzqyX9dYt4JNUt95tRHATselpm6pfau1PLvEBxwlR7IB6mxKbdyeEunSE1q2WNDdb/BG76zHo6Lr/fXcmy2hdh30gvG5aawjgAACCCCwVIHAUgvgeAQQQAABBBBAAIGFCpB/JQW6TnU1OaBRQTl6ZIGgy0q2h7qqR+Cm+BHde8JBFZre5DtjuzTaFJ8+WVM9ra6NlozuD6hts6v7kwM63Doqm8t9quUWlB5WXF0WjZ5KrJP7jhNd/5cRyZFsh+y6ErXSTWtn2xY32/DJ21TM1cB9kxs1drcl1KY3dJ5dstUvbT9Fa4PNJfOwEwEEEEAAgYUKEHBfqFi956d/CCCAAAIIIIBAnQm0bnQVaqmzTtGdigjcnxxSbzBasKyoE9Tw1hE5jlNwP4nFBeyCm02nJvSRzM36beywjk4NdZ88xC5sur2lXevqMNBp01htviLjjxSf7G5N3zX3SXbR15ruRInGN3mv84i3lMhS37voHQIIIIDAsggQcF8WVgpFAAEEEEAAAQQQWKzAch93a/yYDjGP+3Iz10T5+2Jj6jnYUbCtfV4w+NiGYYVa80f8FsxMYp6AXXCzZY30pq5z9Yr203RB0xr/lwJuWv6/dZdk9Ig1fWp2Qv52vd2s9jzylfS0x7L7tIxsuplKlktZCCCAAAII1LMAAfd6fnTpW6UFKA8BBBBAAAEEalAgMSTZhQynmr4nNaJDKS6cOuXRqPcWRn998Bwl9gQLEpwb6dMTWjYX3Neoif13BzT0UHkj/i2Y3pwzctiOG92fPdamLlF2tVEpa6rfNqe7/5jVVKvLb+w/Dd6ihF3lt/xDyNkYAvQSAQQQWLQAAfdF03EgAggggAACCCCAQC0IuBlHw7tmWhp2AkoqM5NQU2s0tlICFu8NJYMKRAqXGHQchcZCGj9kOQvnabTUlnUZTRwp7fHz4QP6za+H82hujx/TnqYhJUeyyQPpuG6KHclucIvAKgvYHO4HUqOr3AqqRwABBBCoJ4FAPXWGviCAwCoKUDUCCCCAAAJVKhBqduWmZ4KEZ0V6tSnYWqWtpVkrJZB2XTlesL2txCD2TEoafGClWlT99UR7Je88hNwS56vuPTCibS1tyv0XdUJ6qLXfT7Ifl+y8Jq29aQKcPkgN3Njj3X/XzN/QGmjygpq4KdSmw7OuM7CgAsiMQCMK0GcEECgpQMC9JA87EUAAAQQQQAABBGpdwK6J2b41Mx0k3OIFVzaGCLiv9OP62eG7NZRJLGu15Rae8YLtfz94k6Jdrlo3ukUP+7b7kI6PJorub7Qdblpa98iMnCLfIh9Ojej04TXqWpufYUOoRXtbB9Vzpqt0XJrIpNUVaGo0vprtrz3e8X5HNj1XzXaiRMOvbN6sR0TXlcjBLgQQQAABBBYmkP9JaGHHkhsBBBBAoDwBciGAAAIIrLKAzUFsQaNVbkbDVp+Rq43BFt2TyI5yXm2IB1JD2hHunLcZ7U0hTZw4Nn2yZt4D6jiDjXLe8+PSXx+3hdp12bk9mv2rgfZARC9s2yH7VUHaO3/RFQ3rjEhPHWvVX9eiazOKHXfqr2P0CAEEEKi8ACUioNKfmABCAAEEEEAAAQQQQKDOBPanxnRXlQR+64y2aHd+Mb5f45mUdiaHi+ZZyR0HveeATS1k85FPzSteqP41gWYd2zJUdER3oWOqN21pLUvHHO0MDupnY/s0frh44DXY5NVTYLf9qiQ9ElC0Wzrjwqhs3mwvJ//XiEDniVKT99jVSHMX3MwxNynXLf5rlwUXyAEIIIAAAg0tQMC9oR9+Oo8AAghUgQBNQAABBFZAIHZMGjuQjQIOZuK6NzmwArVSxZTAiBfM2hHp0kvaT5lKWtX7y5s36cxIj4Z3SSkvkFysMRdF1+qq5hOK7W6odJsK5oyuTl0TP6jB++dOL2InsvYnx6QSMcuhh6SJo44CYfGvxgTsMWvqLvHg1lh/Zjf3W6M7tSs9eVXf2TvZRgABBBConECDlETAvUEeaLqJAAIIIIAAAgg0tIAXax/Z7d14CBEnoEQm7a3x/0oJxNyUemwy/ZWqsMx6bHqTQLh0EDF+JKDY8TILrONsFmxdd4mrF7bv0GDvqMaPZF9PU13+7tguObe1Fh39vis5rFtCh2Ux+R+N7ykVl58qckXvqayxBewXGAdSY42NQO8RQAABBComQMC9YpQUhAACCCCAQMUFKBABBCokEG6XpqYOWR9s1XlNaypUMsWUI2Dzd28JtSnupjVoQ6XLOWiZ8gykY+rPxPzSWzdI4VZ/tehNYsKVTT1TNEOD7LDTEjuTQzol3KVTT2xVMDLTcRsdfGl0vVLHAmpeYzln9k2t9QWb9WD7cR1/OKOH98aUH66fysV9NQvEBxwdv70+H7lt4Q6NZpLVzE/bEEAAAQRqSCCwuLZyFAIIIIAAAggggAACtSNgwcHec1zZhR/bA2GdHumuncbXUUubnKD+Zeh2reZcyd8a2+XPJ2+snSe7805v8t3ggzpwNG7ZG3o5Eo/pJyP7fINg1FX71mxgPeG9qJ7YskWnTvQp2uvKe4j9PLNv7HUX74prtG1CbZHQ7N1sV7VAtnH2KwebmiuTym7X0+2JoQ5d1cL0UfX0mNIXBBBAYDUFCLivpj51I4AAAggggMDiBTgSgQUKtKz3goF8+l2g2tKzu14RYzkjR0+LdOne5KCXuvL/T7hpHUtPaHOorezKu3pCGt/AVBOHbslo7VCH7xbzHL/tnbiwDZuiqc07idXUJa292B5tSy28vL7zLDUnw3pE+9rCGUiteoGWDdL4oapvJg1EAAEEEEBgVQX4yrEM/BSJAAIIIIAAAgggUL0CFiz8+cT+6m1gnbVsf2pUXxt9cLpXl0TXa8RNTG+v5Eq/F2x/0uQoVjsHMLJ7/to3hVo1vml8/oyLzPEdL3BtJwIWefiKHebGAtremj1REXWCCo6F9ONrj2vv7WmNPFzeNCPNTkgnXxrWSb3Zclas8VRUMYHeczJq21Sx4qqqoOPpmD/t1UIbRX4EEEAAAQRmCwRmJ7CNAAIIIIAAAgggUPMCdKCAwMQRaWR3NjD4u9jhAjlIWg6BoUxCHYHIdNHbQu26pGnd9PZKrmwKtem8pj6/SpvTf2z//F+Hzm9ao8e1LF+EccxNaV9qxG9TNd+sDbbo7K6ZqZge1btGvVsD6uoIKufhnbcLgbDkZF+G4l/tCfiPXZ0+fr+MHdADq/Trm9p7JtBiBBBAAIFSAoFSO9mHQOUFKBEBBBBAAAEEEFgdASckje13FFFASWVWpxENWGssk9K6YPOq9vza2CHtTY3mtSGdcLxAcekpUDT5Lz7oaOihykYZ/2f0IS/QPqp1gWYdSi3fCPrJLiz5buNlmbwLpfYGo7pwU7fat0mtG92yyh/JJPXO49fqSHqirPxkqk4Bu+6x97KuzsYtoVXtTlj2HF1CERw6R4AEBBBAoDEFAo3ZbXqNAAIIIIAAAggg0GgCkXYpMSIFHEdPaTlBGbe8IGGjOVW6vxdG1+qy5o15xT6cHPbnUs9LXIaNw15g9zPDd2vcC/RuCeVPY+LFi9W2pbznQCKa1IGHFn+lyJFMQsczseke3hA7rOZAyJ9L/pHN63VqpHt6X7Wu3J8cVNJd2omq9kBYNq2MI6dau0m7yhCYOOqo/876eww3hFoU5LlZxjOALAgggAAC8wkQcJ9PiP0IrKAAVSGAAAIIIIDA8gl4sT6tvTgjixle2LRWAS/wvny1UXIpAQuE3xQ/WipLRfbZ6PoXt+3QE1q2zCmvqctVy7o5yQUT2qMh3Zo6qpGx/KD7zV4fDqTGCh6Tm/j10Qf1u4nsNEZ2DYFBLwD/lJatfpYWJ6S1q/wLAL8hJW5SGVf/c3ynws7Svz6+t+cSrbGzHSXqY1d1C9gFqMcP1V/A/axIry6JlvlHobofIlpXIwI0EwEE6ldg6Z+Y6teGniGAAAIIIIAAAgjUmUC0RyoWM0y77pxpR5Tzz0ZllzceOueg2luteIttDve08uXWhpp1OF3ZaVRSXh0/m9injw3dMd2HreF2tdmZlumUxa+svdjV7aljeQW4Xp03xY/kpRXaOJaO6YqWzf6uqBPUE6dOAHgsx++q/sDlwX1JbdtFINJ/ALlRICS1b3WVGAIDAQQQQAABBAoJEHAvpEIaAghUoQBNQgABBBBAoHICv4kdlE3zkVviQCamzw7frZ+O781N9tePewHT6+KH9Lf9N+jq8X1+GjflCfzb0J1K2M8KcrJvDLZqa6g9J2Xpq5/3HruIF8z+486zyyps8H5HbrqsrH6mS/vWKNjkryruHWgj208MdejheS54mvL6/vL2U9XktS179MxtKiaN7nH0f/17dLCK53FPTUjb2lpnGs5awwt0n+4q0llfDPZaPVDGL1bqq9f0BoFqFaBdCNS2AAH32n78aD0CCCCAAAIIIIDAAgQmDjsaetCRzUdtI69zD7WpPjaGWnVT4mhusr9uF4h8cdsp+suei3VmU4+fxs38AhaYdh2peVaw2YLPj2veNH8BC8jxuo4z9ZjohrKOSMccjeyRZjVLpf7Z3OOPjK73s3x6+C6/T93BqJ7esq3k3OYhJyB7XvkHTt6kvQC2rYaiUrTXVTgW0p55AveWf7WWbqdJZ/d0r1b11IvAigi4Xi1fHLnXu+V/BBBAAAEEliZAwH1pfhyNAAIIVIUAjUAAAQQQKE8gEHE17gXdwwooofwLQAbk6ORQpzYH27QrNVy0wPXBlqL72JEvYBcrPcHzzE+t3JYF9BczIjU+5Kqp01lwQw78OqCfTuzTBU1rZMF2K2B7uKOsuc1dL5o3stvR4d8GNHZwsm7vbt0lrtb1RXSowlPsWNsqtXSd4qp1k9eBShVIOXUhYPO4p+N10RW/E3aNgqDjaMJN+dvcIIAAAtUqQLuqXyBQ/U2khQgggAACCCCAAAIIVEYg3C4lhl09Krpe3YHJ+UEmi7ZRyFe2bNZL20/R9lDHZKr8KWR2zgrA70oO6/vju6fzsFJYwILSL/Y8C+19MDmk/anRQrvKSku4aX1o8NY5o8fLOdhGlnfuWHgAOR1I67SxPj26zJH01pafTOyVPV9spoqEdx6n4+SMOk7Mr9su1nh5hUf8W92VWu5PDGo4k5ivOPY3mEByTBre6Z01qqN+nxruVjyTrqMe0RUEEEAAgdUQIOC+GurUiQACCCCwggJUhQACCMxfbupZAAAQAElEQVQIBELSpsdKJwU75wTcZ3LNrNkI6hvjR2Rzdc+kSieE2nVLfO7UM7l5Sq1b8PLfh+8plaXu9w2l455h/kVIF9Lpz3t+b+48ZyGHTOeNdEpNXflB7+mdJVbaegJqH2qezjG0U5pIp/UfI/dNp81euTcxoK5gk8JtUu/Zrpr78nO4GclJOeoMRFSt/35yfL/SNkS/WhtIu1ZFoGVd9hdDq1L5MlX6rNbt/ut1mYqnWAQQQACBZReojgoIuFfH40ArEEAAAQQQQAABBFZIINTqyinwKXgwE9eAt1gzBr1gcNKLhFpQ/fymWRFSL4NNO2BB953JYW9r4f93eMFVK2O+C24uvOTqOmI0k9R4kekZ1oZadHRqMvMFNtsem1d1nK7WQHiBRy4tu42Kb9vsyi4iuudHAaVGAgqMBP0pKA4WuOhpwk3LDIJ7opJbuO7EkKPD1zuFd1ZBajrjque3NoVOUxW0poabUIdNt5NInSe5yiSr9/lbh+x0CQEEEECgBgQKfNWogVbTRAQQQAABBBCoiACFINCoAvckBrQzOZTX/RtjR3R3ot9Puz85qKsn9umR0fV6UssJftrsm5e0naKtNkfN7B3zbB9IjcmWC5vWTtc3zyE1u/sn43v1YGKwYPttCp/TI90F982XaHMtR53gfNkK7reB2sduW1yA0H4hEfTizpmktPmKjHrPzaipSzox3Kmdqfznk1UekKM/ajpHQw96W0WqDLW4So07Mqs7J59/Xu6K/H/wWkfDO5dW1MhYSie0cd2CpSnW79FtW1wFwkXOJtVgt+2k64B3wrUGm06TEUAAAQSqSCBQRW3JbQrrCCCAAAIIIIAAAggsi8DAvY6OHkhpz6z5w2NuWlFlg7inR3p0zzzBTxuhHvQCqgtt5BdH7lVfMKozvTqe2rJ1oYfXVP5hN6FOi1AXaLXZ2QmNArtKJqXcjD9qvGSmEjttRHlypESGMnZFOuQFGWcyPr55ky7wTqDMpGTXQk5ATeNhRdqcbEKBW+OxgGW39+zbk1piw3LKT8ccJUcceU81LeVfcyqsU9e2L6UIjq1zATsB5b0sl9LLqjnWThD+Nn6oatpDQxBAAAEEalMgUJvNptUIIIAAAggggMByC1B+vQpkUlI4EVJSmbwu2hzavZPRyfZAWGdHenU8HcvLM3tjwgvSL2Rs5/Wxw15gdo0iixydPbv+at+2Ueg9gaaKNvM7Y7u0lKl4EsOSBcwr1ajB+7xguhfcbi7ymAaCUvv20s+STZe72hBp1sHUeKWa5QXaXZ3w5IxaNy6tyKZuqe/c0u1fWg0cXesC44cc7flhQHt/GtDI7uK9iQ9qevoku+CqvRaL516dPe2BiEbsDMLqVE+tCCCAAAJ1IhCok340VjfoLQIIIIAAAggggMCiBWxakI1q1SnhrrwyLmveqG3hjum0J7Rs0VQAfjpx1sovJ/bphvjhWanFN9eEmmXlTuWYcFM6lK5ckHWq3Gq5f2HbDlkAy9pz7FYvMG0rOct9NrVPyouA56SVWrVfITyQGtJZkZ5S2Urua/Ie9s6TS2ZZ0M50Qho/PLdvVsjXRx/UsfYx2cUlbbvUsinUple2n1oqy6rss+sU1PNzdFVQ66xSm1Zm61Mz2viYjJrXFO7c6D6p/y5HPWdmT95kEtLxOwKFM69i6ppgszq8E66r2IS5VZOCAAIIIFBzAtX3DldzhDQYAQQQQAABBBBoPIFa7nHnSdLmbRFtDS19moyTw516IDFYNseJoQ4Fc6ahaXZCsqDsQJ3MGfzlkftkcyAXAknHHU0czd8TV0a3x4/lJ5bY2p0c1tOWOA1PpMOVzZteopoF7Yr2SrF+6TexA/rFxP68Y3d57Z3vpI0dkEk6yiQlm4LGtpe6+KOHJ6eUtxHH9quOcsu0x+/OxHE/u4VGrxs4rNFYyt/mBoFSAvYDoVCLZNPL5I5et+dfU6e04dGu7EKrVob9ciI+4MquqWDb1bLY6/WqJf6NqZa+0A4EEEAAgdUTCKxe1atTcyqdViZjHx3Lr/+nv75JR4+X/0Wq/JLJuQwCFIkAAggggAACCJQUCIRdBSNzs9j82Qk3PXdHiZSTw10ac5cWjDwv0qfbEjNB5/8d3Skb+V6i2qrdZQFm+6Sdkau4Z3k0PeG3deyglEm7ih3LHwm+JtCsI5N5/Izz3Jwa6dZZES/CPU++ldzdst5V+2bp0ugG/SbmdXSy8sF0XDalTuLhkB9Mn0wueDe239XgfQFPTV4A0gQLZis78cgNATnBbPaJI45ix/Pds3sK3/42dkgTFiH1dse8xzBxd5O6R1q9Lf5HoDwBJyD/QsBHbsw+7+xXRYWuL911qpSeyObJLXl0n6PJp2BuMusIFBIgDQEEEKhKAe+tsCrbtSyNmogl9JzX/KW+f/Vv88q/+tc368zLXzVniSeSfr53vf8zun/nPn+dGwQQQAABBBBAAIHaFzieickCi7k9+eboQ0rY0MzcxDLWX9dx5qxchTc/NXynCgXSL46uVSBn1HvAi1Z9f6zERMiFi1/11LFMUjYtT0+gye/Pg8kh/WrigN+uxKCjaJ/UujE/mLw+1KJHRtf7eVbixouB61iBqW2WUrf3cCm6xvX7/OK2Hbo5nh3G3xGI6A0d52jgHkfzzVARbnWUHHP95+RPJ5b2vWPiqKNQszs9ktgCnbmjjTXPv/uTgzrFO7Fh2Wxe+se4m9TeErJNFgTKFrATUc3rXO/1Fih6TNcOd86vTZJjjoYelCxIP/vAVEwafmh2auW3d3p/u9L+6a/Kl02JCCCAAAKNIVD83a/O+v9Pn/qaLrrqdXpod/ZDf273XO/NtKU5qu9/+YN5SyTMB8tcJ9brQIAuIIAAAggggIBsxO/A3Y7uSgzkadhoXhuRnJdYoQ27CJ+NGm525n6+tLTHNs9c2fKZrdu8wH9atRbwafWiypc3b5oWs+lVLOhsCXbt2UirFOm0rZnF8VbPKXPE+n1eIHhvatQ7YvH/xweWd+TsSeFO/6K41sKA48j1godhr9+2XWoJ2+xGHsY67wTEoaXO6e+d0+g9x7uZrLBtk+sF32e2J5ML3tkJoScMnajM/U3T+zs7gmUfP30QKwh4Au1bpL7zMt5a+f9PHHb9eeBthHtiJP84NykN7QzITpzl76nslp30OpLK/jqnsiVTGgIrLEB1CCCwagINE3B/7Yufpqu/8SGtW9NdEDvaFNbWzevyFsdx5uQ9PjCs1/3pP+kLX//hnH0kIIAAAggggAACCNSGgDMW9IPaU61Nu65OCneUN4e2F7s8dN3Mx2ibhsZGRE6VVej+UHpM60NlRF4nD35x+yl5c71PJtfU3Rs7z9YTW7yIm9fq9u2umtd6cJK8zUX9f+3EzHQtiyrAO8gCeBELbnvrlfx//LAXCHxw7neHQMBR5ynzBxyDUVfrLnG1IdiiwUx8SU3b3zWoa3XAO6HU75djwfzWDf7qvDd28qfvUIeiPTNZ114o2Sh+8Q+BCgtYUH10b/7rxuaB7/D+XtgId/tlzLHbHNmJMqvansvtW12NHcg/xvZVcrEThSOZRCWLpCwEEEAAgQYTmPmmUOcd7+ps0/o1PQqH5o4qkvevf3BEf/73n9Fff+iL+r+rfyub691Lzvt/aGRMr33bP6ittVkve+4T8/axgQACNS9ABxBAAAEEGkTACbpqyoT0mOaZKGTQcfTCth1lCez5UUAWPE5PxmMiTlA/HN+jY+niIyJPDHXqBW0nl1V+rWbalRzW4SIGTV1SICwvUCYN3u/kdfGe5IDumfVrg7wMkxs28nu9F5Ce3FzUXdtGyYJ5izq4xEGRNkeje2cy2Fzufztwgwaj42qdeZrNZCiyZgHvN3WeU2Tv/Mk2Qv2G+GGl3Iz6M7H5D5iVwwKgFty05/esXWwiUHEBC6oP3OvkjVhv9V6joZZsVW1bXP/1k3sNgq5T3GV5DWdrzN6e7P29DgUaJlSS7TS3CDSeAD1GYFkFeBfxeNd5gfhXv+gp2n5C9tPwO973KX3wY1/x9sz8PzYe0xvf9RFt2bRWH/yL1ysUDPo7u9siYqlOA3uAunh8eH4u53Og3Xvur8LS0RJWj1dvpRZ7nQQCTkXLrFTbKCfC41LB53olnk9tzSFFQgEelyp7XBb62G7YEtEZl0X0uN4Ni3osz31uSNvPC2tNb2T6+PM7+nQ4PD69PbtNazqatKa9qej+2flt+6HgoJpaF/73OdOc1lcT9y+oLqtvMUtnS0ShydfELTqisBcoK1XOus0RZY6G8tr26J51+m5iV17a7DKaWwN62ZodWtcRLZlv9nG2HRmLKL0/+965dn1YfTmPm+2vxGLlNgVD6ghH/PY9pXezNjS36JSuTn+7nDranIg6o9njy8lfKE9XrEUviZ2l5607Uc9as226bvdQRB2h0mVH2wL6ibNb5z0v//EpVM9KpXV4n3m6vb839bK0RkNqCge06v1Zzs/HCyy7Z0NQTfGIin2n3rAtrG3nhYruL3bcUtKf2LdZF3b1rWidS2lvvR5rr5UW7zWzGv0T/xBAAIElChBw9wDPPm273v76F+oPXvp0veetr9T73vEafeVbVyt3lPu7P/BZ3XLnA36+cCjoHZX9fyKREkt1GtgjFItXZ9t4ztTJ4xLz+rEKSzyR1ni8csuE9zpxM27pMitYXyXbTlmVex5gWZ5lPJlRitdLzf+9mEillQjkP+bHJ+K6d3Qwr2+D/WntujbjLWntuy0zvW8imX+svX7OCfUp6T0/bL1Sy1A8oR8M7J2ut1S5A7GEDoyP+3nTSUePj27WBw/d4m+XOm6p+yaSKWXSWZuDsXG1pMJz6hwbT+vBX2TNUiHPPpXR0EA6L9/johv13f7deWm5bXO9Pu0IdBfdn5s3d/3AXWkdvCet6IZsG3P3VXp9/WMyiqWz/UompTd2nKMDd6c15D2PyqnL8h7ZmZY9F/u9x7OcY2bnObY7rdiszwn/evhOPXxkXMf2Zds2+5ip7RuGjyqQdhZsPHX8ctzHvdfaxCp81lquOhNef1JpV8tVftnlVtF32NZtGSVc7zO116bDD6bVvz+d9/06lsruy/3+NDKU0tDxuem5eVivfR97rSS918xqPJYWS2BBoKEF6PySBQi4FyBc05ud5z3lfRmb2v2MJ12qxz7yXL3+nR/S4NDoVLL3gdb7YJ1giVWhgT1IMe+LbzW2jTbVyWvGnl+rsMS9QIV9ma7UYgFE13vBVKo8yskGO3CoT4ek9/rLeAF3Ht/6eHy/OfCQF1xMeZ/n0to5MayfDO/z16ce35QyCnanFOrJKNCR3+fh42kd84KjU3lb02GdF1yTd/zUvtF4Un91+Hd5+0YH0xrwAktTeQrdnxns1Q1jR/KOK5TP0r468IB2T4z4ecOpgNZlWvTSllO1Z2LUT7M88y0TXqB2wjsJO+AF+ufLO7U/4b0Pei8J3/H0YI+i6dCc+saGAFPTfQAAEABJREFUM5rwlqlj1j0mrVQg3/MRofV6lLdM5anE/ehwWpmmtHovSis5q75KlD+7DOtTIpPfryP3ZJT0nkez8xbadiMZjQ9ldPf4gOy5WSjPfGm3HR6Q25zfhtOC3bovdFyj/Zk5j01uebePHdPW8a6SeXLzr8S6fUbxP897zzO7r/Ul6QXb094LZtX7UUXf3dSWVqDTnpsZHb3bVTqc9p6D2e1i35mSjnci9GeaN1+x4+dLPxaL6/7xoWUrf7762Z99/O21Yq+Z1fDwvhrxPwIIILAkgYYJuNto9WQy5WMlvbPkU+uWYKPZb7r9fk3EEjp0tF+f/vJ39YjzT1e0KWK7/eXKx1ygf37PG9TZ0aY/eteHNT4R99O5QQABBBBoeAEAEECgxgQySengbxzdnehX3AuGWvNjblpNzsyvGC0tEHbVtllq3eQq2uda0vQSCEmD95f3UdrmNV8XbJ4+1lb67w7Izdha8cXa89L2UzScSRTP5O0Z8fYfSI3p1Eh20IiX5P/f4oS0dla9/o4iN18ZuV87U8OKeUC2nnbz+1zkMD854Di6osXD8rfyb1IxKRidSTPmQhfhtDJmcuWv/WrigI4WmR8+P+fMVsirs2XdzPZKrOU+pt7DIsf7z55H5dTd1OXlcqT1wRYdTo97Gwv7/8HkkA5s71dT/tNA50X6tK+vX819pcu7YvBEde/qLJ2JvQgsk0ByzHvyB1xNzd9eqhr7+9GyztXYMl08dcxN6Qdju0s1gX0IIIAAAo0rUFbPy/uWUFZR1Z3pHe/7N533xNdq38Gj+osPfs5f37XnoN/oQ0eO6xVvfr8uuup1uvL5b5Xrfbn4m3e8xt83dWNfAFqam/TJv3+LhoZH9db3fkzp9DzfkqYO5h4BBBBAAAEEEECgagQs4JsYcdQUCCrhBdqtYVEvcWu43Vb9C/iN7vWCP/5W4ZtQs+TFpf1lKsf+1KgXxB+Y2py+t0DxllDb9HY6LsX6XZUTDN7sHdcRmBkEMl1IzooF25/Wui0nJX91Z3JYh7yAfH7q3K3BTFxdgSZ1e9HxM5p69IWRe+ZmWkRKuM1V79n5wftJ9jml3Z8YVMb7LD57x3WxQ5rPIfeY+KBUrI7cfJVeH7zP0dBDjl+sdaPv3Px++zuK3ER7XXWf5ll5/hHv+ZhW+cdakfcnB3XiuhY52eotyV+CXsJr156u+S6EGjwUUdtG8a9mBWq34faayaRcrbuk/Od816lSJjueruIdb/NOVo7YH/iKl0yBCCCAAAKNIhBolI5+6L1v0F2/+ELeMnWR1Lf+4Qt0048+rR9+5R90zbc/pi9/7N3avGGNpv7d8INP6VEXnelvdnW26ftf/qA+9cG3KRhsGD6/79wggAACCCCwYAEOQKAKBWx0pA1sf2J0iyL+hnRSuFMXN631W3v0poBCrfMHfnrPyeQFdTu8YPWPxndr9r/zmvr0pJYTppPTMWndxa4G7nGUOyJ6OsMCV2xk+ylhGx5d+MB+r8KbE8cK78xJHXdTsoC7Jdmo6LMjvbKR/7Y937LXO9lgo+ML5Qs2SeGZ8w1+lsM3OkoM+6t5NwNe0P8nE3vz0qz9rYHwnF8g5GXK2ei/y1HSO6HiBHMSV2i182RXQw86fm3W7+Z18z+P/Myzbv6g4wwFlS1n1q6im1tD7bLHrGiGEjvuiQ/ICTpabHtLFM0uBOYVsPOB3rk2lTO6faqwsPc3uv2Exb2+psoodm9/b06KdC7wlFex0khHAAEEEGhEgUAjdtr6PHux6WO2bFwrC6jP3sc2AggggAACCCCAQH0JbHp8RmdEetTshPI6Nn7QUbDJVbRH8/5r3aC8qVLavaCwTeNyeJ6pT7w4jj/tx8QRKTXmzFvPtbGDuil+dN58xTKsDTXrSHq82O7p9D/tOl9BZ6Y9l0TXyUb+T2cosXKr174hG7pfIk/urmBY8qeQyE301h/h1Xl7/LhsLnRv0/8/4gT1vLaT/PX5bmJHHSVHpbYtyxOIm69+7ymg7lMzmljkwxXv16JPwpxwqFfJffnP59z23nbPiCZG5rp8ZvgurfcinWsu4Ne7uV6sr5xAU7er+ODyhiYW2pvfaz1xgae8FloD+RFAAAEE6lmgut7V6lmaviGAAAIIIIAAAvkCbK2igBdfVG405YgXJLcpVZq6pb4L5gYlVea/3/MCw6GcoLUdZlMT2JSFtp672PTqqYnclMLrp0W6dZ0XdC+099rYoXnnNt8YatOOcPER8IXKLTvNqLwY/fFMTL3BaMHDBu93FDvmZcrZaycdPPKclJnVl7Sfon43Pp3QFgj785pPJ5RYccJa0LQUJYpa9K72bVLzGmnkYccLIi6smP57HCWGHI25Sdlo/4UcbSdwPKqih9iFIH+z74gm3Jl5OP579CFdldmubhuOX/RIdiCwvAIt66XWjfbHZGH12K9khnfl/21ZWAnkRgABBBBAYHkECLgvj2uNl0rzEUAAAQQQQACB+he4IX5EU6PRr/EC2jYtSjDqyikzfpMatwun5mde60XRewMzgef+dExfHLnXKzObz6aRmQo+d54khZrnd+7xyrNlX2o0L7OVfXP8qNZ4debtmLURkqNHRzfMSs3fTLkZxWdNem7TyfywwBQ5h9Pjsnnjc0s4I9xTNCgeO+713XFzs6vzJFcdJ+anTWXYFGotWtZUnmL3TV1emV51xfavZPrIbkdOcGE12okIOwkzlE7IguHlHn31xD71D6UUbvf6X+SgC/p6NXLc1Z2J/ukclx3dpuiu1ultVhBYDQE7UdS8pvhzt1ibIh2STSFVbP9S0ncnRzS4gF/tLKWu1T+WFiCAAAIIVFogUOkCKQ8BBBBAAAEEEEAAgSULLHMBR250tH8wpqNe8NiqimVSZU+fYvltsQHdQ5Pzddv21JKSq4QXwLbtQ+kJrZsMiNs1+Eb2OIr2ZQNL0V63ZIDUjp9abNT35lD+ROh3eYHTC5r6prIs6d5Gyl8XO5RXhk0ns9sL8luAPXeHjTj/r9H7c5Nk089EikSX0zFXoaiTl38hG/81+sCckwGzj/fi00oMzU5dvW2L08WHpUj+QzZvg1rWurLnybpQi3cyyDujM+8Rkj3frp84pBMvCSpcInbevdnR08/ZoKlrFYzuDSg4FtKa87PPxzKqIgsCVSfQss7VxGGn4u26J9mv+1ODFS+XAhFAAAEEGkOAgHtjPM70soICFIUAAggggAACtS9gQc1IIjAdyF0bbFHbSFQHf1N+4Mautxpq8YLrI/keNqL8616Q2C4iOuomdGK4w88wskfq2FaZ4GbadXVp8wZdOs/Idb9i7+b+5KB2p2Y11Euf+t+m0+kcb9HRWxylYlOp0omhDu1MepHjySSb6sROJtg0NQ94ZU4ml7xbc4EXcPecZmeykdyz06a27dcG/zf2sKxdR7yTIk1FgvmW3ztXokO/CWiSWdXwz2Zo2f6MjFT+00n2r3mt1L7VVdA78JxIr4YyCUv2l4z3mPsrs27uTQzowuhaRdpn7Zi96bUl0jHz/It0ZtR71sz27OxsI1ALAj1ne39fWiv/PO4ONGkik64FAtq4zAIUjwACCCxGgID7YtQ4BgEEEEAAAQQQQKCmBQIhR2cEe7UllI1SXtmyWV2ZqCx9IR3rO8+VTYcw+5gXtu3Q10Ye0CVN63RhkxdF9TLYFDJdp84EhizgPPiAFwX19pXz/9H0hEayAVgFHUcWlFWZ/8bdlG6LHyuaO66Move3KtjkauCuma8Ij/GC+ttzItn/OXy/F4RK6aqWE7yQcLa4fYlR3V6ibJsmZTpz9hD/9vB1Adm0PP7GrJstoTbt8k4QWDB5Y7D4sG37IcGBXwa06YqMPJJZpdT25jNat6szEPE78bPxferP5JwJ8VOzN2dFevRk7/HIbpV/a9NxlJ+bnAhUp0AoKoXbKt+2E8OdarKzqpUvmhIRQAABBBpAINAAfaSLCCCwYgJUhAACCCCAQG0I9J6T0Qlrm2Vzrk+12Ea9FwqeT+0vdN/UJVnAZ/a+sBeoeX3HmdqVMzp8dh4vi4Z3zU4tvj2eSenfh+/Rj8b3FM9UZM/aQHPJKUqe33qSOlNNat0oJcddJSYHtTc7oen51G3edsdxtDHUqu5Ak04Oe5336rsnPrjgC3x6hynU6io5VvyEw6Oi63Q8E9dTW7Za9oKLGW6+MlNwX60m2sVPbUoaa/+h9LjeP3Cj7PnUNzk1kT0Oti93GbjX0dj+4pa5eVlHAIH5BezaGI+Mrp8/Y5XksGtuVElTaEZDCdBZBBAoJhAotoN0BBBAAAEEEEAAAQTqVcCm/AiEZnp3f2JQ0XWu1lxQueBtdzCq3NHhs65JKmuDm3bkljlrwQYv0G0BoCuaN880vMw1O3ZqpH2xQ2xKEruI68bLXBUa/TzgBb+fUmAk9bHUhHong8Gzy44PSMdvLxwIjvZK6fjMiP/Zx1p7n+YF21sXehZkdkE1th077mh0X9bMTrK8o/tCXdbsnQmZ7EfMTeknE3v15ZH7JlMkO8amN5pOYAWBBhIYedjxTl5mXzMN1O3prn5t9AHtLnFydzojKwgggAACKyZAwH3FqKkIAQQaXYD+I4AAAghUl8DDqRHdmehXRq6+PvagggEvYOP9v5BW2sU6bd7z+Y5JjkoHfj33o3ffeV7tmfmOzu6POAH/4qQ22jmbUv6tdeuCpjUFD7C5wYczCfWd5/onAWZnujl+VL+LH9aZkR7lXrjVprj57ujDOru5V9tD2al5Zh9rI9ht2pfZ6bbdebKrts22tvBl7IA0vNN6tfBjq/2ISJerxGC2byeGOxRSdn2q3SeGOxVVUHYh3ak0u2CsP3XPVAL3CDSQQFO3q7HJk1SV7LZd++J4uvBUTpWsZyll/S52WJ2BJp0a6daR9IT2pkaXUhzHIoBABQUoqrEF5n7qb2wPeo8AAggggAACCCDQAAJDXrB2YJerh5JDirlpRZ3gonodjEixo468eHXJ45NjKjjPcOsGFZwDvmRhFd65Jz2q/x3bmVdqJukodszx09YHW3Rb/Li/nnuzJtisPd5JizWhZhUbhW5TowSbco+qzPrwroAsyFaZ0qqrlGbvvEi4vfjIf2utjXgPTAXivaxbnpSRdz7Gds23sB+BuhOwk00pLy5uf28q2TkLYN+aKH7ti0rWtZiy7L2rJxj1r6lhx9sUaXcljvsnSG2bBQEEEEBg9QQCq1c1NSOAAAIIIDAlwD0CCCCwwgJekDIYCyrhBdtthPcZkR713+VoZLez4IbY9CtTc54XOzgdcxTp8CotlmEF0u9JDMguQjq7qkEvStWlpukAu+13XVdHb85a2JztKTejoQJnFc5r6tNN40fsEH+x6WO8Q/11u2nb7KrzZFsrsHgc87kVOMq/0GomLi/gXmhv7afZVEddp3g45XbFe5jsmHKzkw+BehTY8oSMJq8xXLHu2d++gynvbGnFSqxsQXai+N7ADn4AABAASURBVORwZ16hV7Vs1aHUuHYlh/LS2UAAAQSqS6D+WxOo/y7SQwQQQAABBBBAAAEE8gVsQHuvmnVh0xq1BcL+hTltehgn6OZnLGOr99yMwoVnVJk+un2rq0JB1PHD0vhBL2I6nXP5VjJy/Sl0ZteQUFrr42067p1wmNpnI/ctcJ5JZlP+qPMsdRaIZj26eYOe0J6dF8ZG8U8cc6bGXfsH2uj2QLiIqSMdui6gqTr8A8q4CTZLmx6fKSNnY2TxzoXIHqvG6O0y95Lia1fA+3vieIt3/rBoH2yud/tFUtEMs3ZsDrbKpnCalVwVm2PeH84JN1WwLc9s3a7t4fxAfMGMJCKAAAIILJsAAfdlo6VgBBBAAAEEKiNAKQggUHmB9i2u1p8ayAumuClHXuxdC/0X8gLAFlhe6HGW3+ocP2Rry7/YFDDHMhNzKrqkaZ3OcdZ4fc8PjHdsd2UnITTPv4idvfDyJEccfxT/nh97QfTCcSAvV/7/4TbJ5rfPTy29ZUG1vKh+6ew1uTc+4OT94qBYJyy4uO/qgHyTYplIR6CBBCaOOIoP5nc4OS7Z68ROCjb1uf5JvtTcP4X5B3lb9rft0uh6b636/v/I0G2KKFh9DaNFCCCAAAK+QMC/XdwNRyGAAAIIIIAAAgggUJMCFiO2UdzWeLtg6P7UmNZenFHLOkup/JKOeWXmx7O9BCnU7Co14fjry31j8/s+NrqxYDU2/7fNHZ6700bkh1tzU0qvh9tcdZ3qqmW9Oz1q//D1AaVjxfvXss5VOlm63Ny9Npo7bZa5iXW47mZcDT5Q3G2qy6P7HbVtmtriHoFlFaiJwtu8k6nH73AUOzrT3Iz3N2P9pRn1nOn6J6fsxKpdo+LYbfO/xmZKqZ61G2KHdUHTGgVLnGkbyMRVbAR89fSEliCAAAL1KxCo367RMwQQQAABBBCofwF6iMDiBewn+T8d36sHk0O6OZ4TnVlgkTadx4FfFQ/cZFLSvp97+73/Zxcd6ZI6T3ZnJy/bts1VP7vw414EO9TlqmvH0tpho9Uj7ZL9eiA+kK0l1i8FIsXLtb63rM3mLed28H5Ho/uccrLWdJ6mbs0ZpVuoQ8kRqW1rptAu0hBoWIGNl7mKD838nWjqkXdyM5/DAvNRL92C81N70gl3zvRMO733B3uPmMpTDfejbkqPay59pu2AdxL5/8Z2V0NzaQMCCCDQkAKBhuz1SnSaOhBAAAEEEEAAAQSqViA+6Gjg1qBuSxxT3E0rGlj8T/NtkKGNvE54wc9CHU6NOyo2UtwfWb42PyBtZRUqZznSrOZPDN1RcKSktXti5nqoZVdvwa3ec1zZNVaN1fpY9sHzZBw74Kh1k7V6now1vtvM+s7NaL4pffrOdYs+t2qcgOYjsCQBO5k3XwEWdLdf8kzlO/y7gOL9U1vZ+7Rc3RAv4w9hNvuK3D7eC7a3OKGSdZ0Z6dHdiVmdKXkEOxFAAAEEKilAwL2SmpSFAAIIIIAAAghUkQBNKS7gOK7csYASXnS7IxDRpmCb9vwwIBuNXvyo4nsiHY5stHGhHJm4ZCMpC+0rlDb0oKOxg9nRmTZ6vlCexabd5QVg7CTD1PED6Zi6g1HZyYLZc6ln0q4G7in/68KRG728ObFwiwdtuKz06GvvXIfiA9m+TrWp2L21r3WDO2ekarH8tZ7eulGamvYok5SSo06td4n2I1B1ArnX3wi3SOl4/utsQ7BVB1NjVdfuchr0lJYTZNOllZOXPAgggAAClRXwPhVXtkBKQ6AMAbIggAACCCCAAAKrKuCEHAXSjp7aulU2EvD0cLcXbHcVCGlR/3rPyWj2HOhTBUXXuOo5KycSPbVj8t6mSUmOZIM8dlG/sf2OWtdn86fGvOD7gcmMFbgLytFDiaHpksbdlLaH2jXysKPY8WwbpnZGFnBB0+SovICwd+RkEWnvJEN8UPMGx20u/UPXOXOmcfBKmvO/TVnTfXrWZc7OOk1IDDva++OA9v0soNF9+X0f3SfZCYs67TrdQmDFBcLtc19TbYGwnuwFrpPeydkVb9CsCocyCf10wnvhz0ovtnlxdJ02hVqL7V7JdOpCAAEEGk4g0HA9psMIIIAAAggggAACDS8QanG1/pHSuZE+38KLOysQnowW+ykLu7FAfSC8sGOmcqcmHMUHs8HU8QOOuk7z1iebEm5zdfQWxzsZMJV7afenRbo14ia1L+VFyL2iNofa9LTWbbIR1IGIl5D7v9eGrlNdeTGe3NSC6zZC3uZvn9ppo0aP3BCQlTuVVuw+3KpssL5YhgZOD7W42nh5Ric8OaPu02Ygxg86Gt3ryE5YzKSyhgACSxGw61jYNDOzy7CTsmGb52n2jhXevnbioNYGoitcK9UhgAACCCxGgID7YtQ4BoHlFKBsBBBAAAEEEFh2AceRglEvsO3VtNcLPo8FE35Q09us+P+pcZUMmIeaXVnQ3Sru3OHKpk2x9amlY5v84OrU9lLvX9l+mizQnluOBb1tyU2zdZsHeU4g3nbMWpq6pO7TM3mpFoDvv2v+rxttm125KSfv2NkbNrh0dO/s1PrfthM5U9PK5Pa2/17vxMwp2edvbjrrCCBQnwIj3pnPe5MDOqepb0EdtGnEDqW9N6EFHUXmFRWgMgQQqEuB+T8B12W36RQCCCCAAAIIIIAAAtJPx/fqB2O71W8TrS8RZP8vAgVHdB+8JqBSU3+0nWBB9uKVd5/mKtpbfP9S9vSnY5pwU7KR7JGOmQDuQssMNUuhlvyj1l+aUd95+UH4/BzZrY6TXDV1l6574oijcW/JHsHt5sdnlu05gS4CjSpgJ/ZSsbm9P5Aa029iB+fuWMGUqBPSm7vOXXCNTU5Qv40dXvBx9XLAvwzdrgHvZEW99Id+IIBA7QgEaqeptBQBBBAQBAgggAACCFRMYP8vHO1MjMjmxW1SSCod85233lBUypke3c9vF2G1II5NseInFLix48LtrkZ2e00oEJ/24iVaSDDc5k8vUM2cJBv5+O8j9+q4F3Sfs3MyweZhnzhaevT5ZNYl38WOORorMl/9xDGpuXfJVVAAAgggUFQgHXNk15SYnWGtdzbxtvgxuZW+ivXsikps25Q2dg2OElkK7jo53Kl7Ev2qhjnoCzZwGRMfSA7q91pO1HfHdi1jLRS9zAIUj0DNChBwr9mHjoYjgAACCCCAAAIILEUgk3DUlApqXbBZkaMRHblpaYFlC5onRvLLSE1ILevnb+XoXkfxQUdLmSbYLr66+/sBpeOOFxhSyWlsrEU2L7H1vT0Q0fih7DGWnrvYHOzDO53cpILrB3/j5VniCYumHlej+wIavM8ra1YtkTZXLRuWWMGsMhe/yZEIIFCPAoGIq3SBEe4hOXpj59n68uj9q9LtgXRcw5nEout+VfvpGrM/5iVKuCl2RKkiZ513pYa1PzVW4ujq3LUj3KUt4Ta9ov3UBTVwoNCTYEElkBkBBBCQAiAggAACCNSJAN1AAAEEEFiQgM2P/ejIRj277URFvMB7IOws6PjZmbvPcNWxLT8obPOY951bYNj6rIOP3ebILtg3Kzlv04LpNlo+L3FyY2S34wfrT3hKxh8N7zhSvF86fL23Mpmn0N3LvEBEhyL+hVntmNl5wv4FTfP7lPTiLl78ZzprYkTZ4H7pqqbzF1uxkw3rLskondSci6i2b5NK/UqgWJmkI4AAAuUK2HuC/c22XyYVOubl3t/LQunLmZby/uh/cvhOdXgnRhdbz4ZQi7pK/AH937GdCgeCcrw/9V8auTevmlsTx3RH/Lg2hbw3g7w91btxJD0hWxbTwozrKmhvRos5mGMQWGkB6qtqgUBVt47GIYAAAggggAACCCCwTALrH53Rye3tfiDDTTsKhL1ogxb/zw9YO4s7ftvTM3PmQJ9dks31biPhZ6fbdvtWV3aBU78NluAtzWulthOkozeXbpQNnAyEvQMK/O/FaWTBbi8GMb13eGdAB389U2ZsyFWkfWZ7OuMiV3rPchVuW+TBHLbqAjQAgVoW2PAYVxZ4L9UHu+6FBWZL5anUvl/HDuqy5g2VKm5OOTa1WNr7A39OpNcLNDu6uGmdvj76gJ9vX2pUR73g9TNbt/vbtXBj/fl17IDWBpvzmmu/EPjlxP68tEIbAe9NdCknNwqVSRoCCDSmAAH3xnzc6TUCCCDQaAL0FwEEEJgjYAP+0nJ1T2LACyq76jljaQF3q8CLW9jd9JIcldKLnwlguhxb6fBiHjZq3dbLXVo3uOo9x1UmWTwgbm1u21i8xM6TXHkxiOkMvWdn1LZFGpu8hmBLn9RzVmZ6f6VXxvY7ig8Ub3+l66M8BBBAoJTA98d2657kQKksS9pnU7hMFRBxArosWuIP9FTGee5/4QWbLRg9O5tNLfbctpOmk0+PdOukcKd2Joe1OdSmJzZ7f+wl2YVjRzNJb616/z+cHtcNscN6butMf6Za6wfRvTey6739U2mz7+0Ew8HU+OxkthFAoDYFVr3VBNxX/SGgAQgggAACCCCAAAKrJfDb+KHp0XyVaMPBXwVkU6xMlXXsVkep8coEi8OtrvrOd/2i3cn49pEbvWD0YOnybbRmqdH7oWap+4zJAv3S57/pOtVV6+Sgy1DUqfh0L7HjjhfQz/Zr4H5VvHzxD4FVEaDSahdIx5zsFFklGrom2OyP/C6RZdG7ro0d0o3xo9PHPzo6+Yd2OmVxK1vD7bopfqSsgy9sWqsTwx15eY9nYvrJxN68tGrbWBds0as6Ti/arLMiPZ5tYYOHvRMMP5vYJ5t+p2gB7EAAAQQWIEDAfQFYZEUAAQQQQKAuBegUAg0qcPx2R0cOpxRz0/ID2NlY9pI0wh2ukiOOX4YNBowPObJAuZ9Q4Zud/xtQy3pXTV0VaHiJtk0cdRQ7lg1CHb8j27cS2SuyK9rr6tjN3smKMa8471xAqGV5++jVwv8IIICAhndJI7tL/52zoGy5o70fSA7qVxMHdE3sYNGLkuay7/ICvxdE+nKTKrK+PdSh4+mYxt2UX95vvcD+gQVcCPWMcI/uTvT7x9bqTW8gqt/vOEMZzX0/+cH4bj2/9eRa7RrtRgCBKhSo6oB7FXrRJAQQQAABBBBAAIE6EcikpWgipI2hVh29ydH4kdJBlnK63dQl2TQyljc5Im14dEbF5ke3PItdHO9T/InPzqht8/wlpCak/T/3DiiS1S6CGh8sstNLtjneR/dKww85CkW9hJz/B+53dP/33JyUyq12nOj6ga+1Fy1P+ZVrKSUhgEAlBKqhjKD3N86LS5dsyo5wl57euq1knqmdATl+gLffK3RXYngquej9jnCntnnB8aIZlrDjLV3nqcUJ6Ufje/xS7L3PXynjJug4elrLNh1Je28oZeRfySyfHbm7QAi9cAuiTlAB7zHJ3Zv0zri/2gvEN9vPwXJ3sI4AAggsQSCwhGM5FAEEEEAAAQQQqHcB+lfHAvbd+uxwnz/fayblKBCOH5IbAAAQAElEQVRaemC3Y7urrlOy5TT1SBaA1yr/syljLOjuxRQKtmT8kHey4WDxkw2hVleJUS/gvstRu9e/3EIiHa68+EVuUsXWu05z1e7FtCKdFSuSghBAAIGSApF2yU5oqkL/bD70y5s36Rmt27WjjD9ml0TX+RcvrVD1c4qZmpv9kdH1c/bNl3BeU9+ci5HOd8xy7//I4G16Vsv2WSH04rW6rnci135+lpMl7D3gFojPSWIVAQQQWLIAAfclE65WAdSLAAIIIIAAAgggsBSB7tNdbdwc9ke4WzB6OUaiL6V9lTzWpmSxkeyFyrQR7MFIoT3ZtEiHZBdJ3XxlxjspkU2bum31YjY7nlI8WD+VbzH3jlestXsxx3IMAgggsBiBaJ8re2+Y79iBdFwpe+MokvFgalw/HN9dZO9ikitzjM3NfmbEOxtcmeJWtRQzfk3H6bI59cttiOM4/uNyT2LAP8SmlLPH0t/gBgEEEKigAAH3CmJSFAIIIIAAAggg0FACNd5ZG+Fui3XDpn6xwLKt1+Oy6XJXNnKzUN8sqB3pKrQnm+Z43xg6trmq5xMS2Z5yiwACCJQn8LPYPt2XLD4X18OpYQXtj2dOcftTY/rpxN6clPxVu6jpvtRofmKVbd0YO6IDXj+qoVnrQy3qCEQW3JRzIr26PXHMP+4/R+7XuJv017lBAAEEKingfXyuZHGUhUB1CNAKBBBAAAEEEEAAgfIE2rdKdpHS8nKTCwEEEKhfAdeV4sXj6NMdXxNo1tES85kfSo1rnZdn+gBvZVOoVTd4AeuEm/a25v5/TeyQWqv8zGZbMCw7MTC39SuXMpxJaE9qJG8amYXUfmqkWyHvZMj9iUHZdDKbQm0LOZy8CCCAQFkCBNzLYiITAggggAACCCCAQL0JjO5zNHif43erxMwA/v5F3FTVIRZEKvuqclXVchqDAAIIrJyA470lHL4+oFnTfM9pwJZwW8kpZR7XvFFnFJi6xdLuSWanM8ktdMQLIqe9N6LuQFNuctWtnxLq0m2J46varh+M79ZEJrWkNjy39SSNK6Wnt3pnnJdUEgcjgAAChQUIuBd2IRWBOhagawgggAACCCAwJWAXE7Xv7Xt/XN8fi+P9jg791oskTXU8537iiDNvcCknO6sIIIBAXQuEolIqVrqL20MdekLLlqKZeoJRfxT17AxPb9mm08Lds5PleP+9sG3HnPRqSwh4ZyT+sONMTbhLC3gvtl9W757UqGyU+mLLmDruvEifegLegz2VULf3dAwBBFZDoL6/WayGKHUigAACCCCAAAII1ISAE3Tlph25KS/UEXJros2LbWS4VSp20dTjdzjKFJ7hYLHVzX8cORBAAIEqFYj2Zd8blqN5QS9g3eQE5xTdFghrY8j7Qz1nT/Ul2EVKm53QqjTMLnD6vNaTVqVuKkUAAQQWIkDAfSFa5EUAgboXoIMIIIAAAo0j0LJO6jk7o3TSVajZqeuOB6PeCQXXkZuZ2810QgqG56aTggACCDSiQM+Zrpq6vL+Z83T+YGpcheZjvzNxXD+b2Ff06LibLjkdTdED2eGflNge7kACgYoJUBACyyVAwH25ZCkXAQQQQAABBBBAoKoFHO+TcDAiRdqlDY8uEImu6tYvvHFbnpiR9Tn3SAvAt21yVWDAZW421ldWgNoQQKAGBK6NH9QDyaE5Ld2dHFFnwHtzmbMnm7AnNaJ/H7knu+Hdut7ypZF7vdva+f+rIw/oUHq8dhpMSxFAAIEVFvC+ZqxwjVSHAAIIIFCjAjQbAQQQQKDeBCwA33uOhXvqrWf0BwEEEFicQDpefAqu3BLXBpt1JD2Rm+SvH85MaF2wxV8vdLMj3KVtoXbdGDss+2cB+Fr7K7w53Ka74v3W/BVbboof0X3JwRWrj4oQQACBpQgElnIwxyKAAAIIIIAAAgggUKsCdsHUg9d4H4e9SIeN9K7VfpTbbrs4rC3l5icfAlUpQKMQWGaBmBdHHrjHmbeWbaEOBTU334vbdmhzqK3k8U9sOUHhQNDPszc1qs3B0vn9jFV0c3qkWw8VGN2/nE386fg+2YmK5ayDshFAAIFKCQQqVRDlIIAAAggg0MgC9B0BBGpPwEZ3W9B9ZLej/rvnBk1qr0elWzx2wNHsIJKN5Jw4Wv99Ly3DXgQQQGBGwK7pkY7NbBdb2+IF1R/bvHHO7nIvKHpupM8/9pxIry4rUI6/s0pvegNRva7zzBVr3d2Jfp0Y6VQT85+tmDkVIYBAaYH59hJwn0+I/QgggAACCCCAAAJ1KRAISW5KyiSlRrhoaLhl7jQJ8X5Ho3vq8uGlUwg0ogB9roBAqNlVqMWpQEnlFdERiChiZ4DLy96QuU4Md+o5LSc2ZN/pNAII1KYAAffafNxoNQIIIIAAAjUkQFMRqE4BGyi36fEZZdKSF++ozkZWsFXhNtc7u+DklZj2TjY0Qt/zOs0GAgggUEIg2CStuSBTIsfMrl3JYcVd701kMumn43t1XezQ5FZ93yXdjAbK+SlABRii3ht20Ml//6pAsRSBAAIILJtAYwfcl42VghFAAAEEEEAAAQRqQcACK92nuerY7gWja6HBS2hjMCqtvzQ/iBTy0qJ99d/3JbBxKAII1IvAMvTjpvhRPZgzl/nB9LjWBVuWoabqKzLsBPSN0Yc0Zj8VW8bm2QmNWM5JjWWsiqIRQACBigkQcK8YJQUhgAACCCCAAAILF+AIBFZToHmtq9YNq9kC6kYAAQSqTyA+IGVS87drR7hTv5w4MJ3xWHpCG0Kt09v1vnJqpFs3xg4vaze/MHKvhjLxZa2DwhFAAIFKCxBwr7Ro/ZRHTxBAAAEEEEAAgboXOHiNo+SI180GGeRtv/4vJ4jkifA/Aggg0LACgw84smtczAdwblOfrmzeNJ3tLV3nqdkJTm/X0MqimvqI6Dot5+jz/akxBeQ0zK8GFvUgcBACCFSlQKAqW0WjEEAAAQQQQAABBBDQ8hPYr9QPXR9QYnj566qGGoYfdjTiLVNtmTgqpcantrhHAAEEEDABm24rFbO1+Rcb5T1/rvrMYXOrP7nlhGXr3P7kmC5v3rhs5VMwAgggsFwCBNyXS5Zy61uA3iGAAAIIIIBAXQgEQo7SCVd2XxcdmqcT4VbJi19M5xp6IKByg0rTB7GCAAII1LlAU4+9L9R5J2uge5c0r9WOcNfqt5QWIIAAAgsUIOC+QDCyI4AAAggggAACCNSPwNqLM7KRjE649uaUWcyjEO2VnJxvAOmEFAiLfwgggAACOQJtm6XWjY3xvpDT7UWv/nxivyYWcfHUq8f36db4sUXXy4EIIIBAtQrkfNyu1ibSLgQQqDEBmosAAggggEDNCFiwefMVroKRmmnykhoaanHVc+ZMEKl1g6tQ85KK5GAEEEAAgQYXiHhncq+JHSqoUCwQvzs1on3pUZ3X1FfwuDtj/TpmFx4puJfEKhKgKQggUECAgHsBFJIQQAABBBBAAAEEEKhXAS8uMt21rlNdBULTm3W0QlcQQACBpQnEjjlKjTlLK6RBjr6waa1uih2Z7u3xTEzXTRzSRwdv00A67qfvT43691M3DySH9KK2HRrJJAqOjv/q0APqCTZNZeceAQQQqCkBAu419XDRWAQQqHkBOoAAAgggUFUC/Xc7Gn64qppEYxBAAAEEqkAgk5L6762ChtRAE+ziqX/YeeZ04Pzh5LDiSuuV7adpY6jV70FPsFmfG77HX7ebJzRvVpMT1MH0uL49usuSppeHvGD8SZFOBcQJj2kUVmpTgFY3rECgYXtOxxFAAAEEEEAAAQQaXsB+rX70Jj4SN/wTocEA6C4CCMwv0LzO1fjB+fORIyvQFWhSs5P9yZSNeL+8eZO6ckaoN3vB9atatugrI/dnD5i8PTHcqZ2pocmt7J0F4p/WfkJ2g1sEEECgBgX4dlGDDxpNRgABBOpUgG4hgAACKy/gOHL4RLzy7tSIAAIIVLmA40hrL5ZS495Klbe1Vpq3KdSmJ3lB99z2huTo4qZ1OpKemE7e7OVbG2qZ3mYFAQTqUqCuO8XXi7p+eOkcAggggAACCCCAQCmBtk0ZtW2ZuYhoqbzsQwCBRhCgjwjMCLSscxVq4T1iRmTpa33B5jmFPNELwq8tkD4nIwkIIIBAjQgQcK+RB4pmIoAAAgg0uADdRwCBZRFoXiutvYhgyrLgUigCCCCAAAILFLgjcVy3JY4t8CiyI4AAAtUlsOSAe3V1h9YggAACCCCAAAIIIIAAAggggMByCDRimYP3OUoMM63Mcj/2t3uB9rRcXR87rDWBuaPgl7t+ykcAAQQqKUDAvZKalIUAAggggAACqyFAnQgggAACCCCAwLIIBJqk0T3LUjSF5gjcnxzULfGjGsrEtTHUmrOHVQQQQKD2BAi4L+tjRuEIIIAAAggggAACCCCAAAIIIFCrAq3rXcUHyxnhXqs9rI52bw+1a09yRK/vOKs6GkQrEEAAgSUIEHBfAh6HIoAAAggggAACVS9AAxFAAAEEEEBg0QLBqLTmgozc9KKL4MAyBM6I9GpDqFWtgXAZucmCAAIIVLcAAffqfnzqunV0DgEEEEAAAQQQQAABBBBAAIFqFwi1SE5Q/FuCwHyHNnvAj4quny8b+xFAAIGaECDgXhMPE41EAAEEEEAAAQQQWAYBikQAAQQQQKAsAdctK9uqZcokV61qKkYAAQQQmCVAwH0WCJsIVIcArUAAAQQQQAABBBBAAAEEEKgWgaM3Oho/XL1zuR+7LaCD1wQ0urd627iSj6WdgJg4Jg0+UAseKylDXQggsBICBNxXQpk6EEAAAQQQQAABBBCoNQHaiwACCCAwLdC2WRrbN71ZdStrL8qo54yMkiOuUuNV17wVbdDenwTkhKTmPu8x2y8lRla0eipDAAEEFMAAAQQQqDUB2osAAggggAACCCCAAAIIrKRAywYvkB1z5GZWstb56xrZ42jsQHYUd1O31H2GZHPOz39k/eVIxaQDvwpo42MzcrIk3kkIaWTX5EYZXU7Fq3zuoDL6UG9Z6A8CtSgQqMVG02YEEEAAAQQQQAABBBBAYBUFqBoBBBpQYMOjvUBulUVRxvY7CjY1bpDYTUvpuPx/jhytuyTjefib/k3zWle957j+ejk3R28MlpONPAgggEBJgSp7qyjZVnYigAACCMwrQAYEEEAAAQQQQAABBBBoFIH4oNTUld9bG/U+WsXT3+S3dmlbu38QmA6wB6OugtHFl5eakCId5QfnF18TRyJQKQHKqVYBAu7V+sjQLgQQQAABBBBAAAEEEECgFgVoMwJ1LDB+SMqkqqODNr3Nxse6coL57WnqdjX0oJOfWIdbR25ytPYit6yejR10ZFPOlMocapZ6zy6vvFLlsA8BBBAg4M5zAAEEEECgYQToKAIIIIAAAggggAACSxEYfthRYrA6gtmOF9EJt84NEEfa5QXhvXYOqW7/2Wj0zhNdtayf2/9CnQ5FXR29CQEn9AAAEABJREFUyQMrtJM0BBCoS4HV7BR/bVZTn7oRQAABBBBAAAEEEEAAAQQaSYC+1rhAsGlmzvBq7sqGR2cU9gLv1dzGpbTNRqM3dZdfguW1oPv4wcInSxIjko2CL79EciKAAALFBQi4F7dhDwIIIIAAAg0kQFcRQAABBBBAAAEE5hNoWavpOcPny7vc+4/c4Cg54hSsxka/21JwZ40nJsckm05nod3oO99VqMAvAqycgXscBWZNzSP+IYAAAosUqP6A+yI7xmEIIIAAAggggAACCCCAAAIIIFBDAjXQ1NZNrqJ95U1jspzdcb0mjB+Wwu3eSpGKMonFBaaLFFcVyem4dOjagJzAwptjx0Q65h6XjknJYUfNa4tbzj2KFAQQQKC4wCL+RBUvjD0IIIAAAggggEA9CtAnBBBAAAEEEECgmgQSg1JTd+HR7VPtHDskDdxXOs9U3lq5jx2Xor2Lb62dqEiO5h+fSUvrHpnJT2QLAQQQWIIAAfcl4FXBoTQBAQQQQAABBBBAAAEEEEAAAQRWSCA1LsWOrUoQO6+HkU5p/aNKB4nbNkkjD69+W/MavsSNdNxR26bFj0R3PA6bx/3QtY6O3+FteO0Jt0rhNm+F/xFAAIEKCQQqVA7FIIAAAggggAACCDSkAJ1GAAEEEECgcQRS444GH1z9/tr0KLaUaokTlLpPcWWjwkvls/nQ0/FSOapnX8d2V83rFh9wt5507nDVtkWy+fhtmwUBBBCotAAB90qLUl71CNASBBBAAAEEEEAAAQQQQAABBCooEIi4yiSyI6MrWOyCi7KpUco5qOMkd94pWI7e7Cg+sPp9Kqc/RfMscEfbFnfJgfsFVkl2BBBoIAEC7g30YNNVBBBAAAEEEEAAgZUVoDYEEEAAgfoSCDVLzWuWNsJ6qSKZpLT3x5UJ5yRHHKXGpJb1q9unckxSE1K8v5yc5EEAAQRWV6Ayf6FXtw/UjgACCxfgCAQQQAABBBBAAAEEEEAAgQUKBMJS9+mrG5yOD0lNneU3PHbcKTqtTHxQ6jvPVToh9d9d3aPchx8KKDFcfr/JOS3ACgIIrLAAAfcVBqc6BBBAAAEEEEAAAQQQMAEWBBBAAIHFCMQHnQWNSA81uzp2a+Fguk2tEvGC98GIZPPTjx/Ob9HIHkf9dxU+Nj/n8m9NHJOifctfDzUggAACSxUg4L5UQY5HAIH6E6BHCCCAAAIIIIAAAggggEARgbH9jjKpIjtXILnrZFft28ofZR9qkcKtjixgXap57dsyGtkVmM4ysluKdNpFV1c/4G7erRtdhdumm8cKApURoBQElkFg5i/pMhROkQgggAACCCCAAAIIIIAAAgsX4AgEEKhegeGHHSVHqrd9hVrWe15GwfDMnnRcOnZbfkiouU/qOz8judLRmx0FIo4/dY0Fu23RKv4LhKSuU7yGrWIbqBoBBBAoVyBQbkbyIYAAAgggIAkEBBBAAAEEEEAAAQQaWsCmX0knV4cgNS7ZstDaQ1EbrZ496uhNjvZdHVD7CXMD2MEmaeyg5XPUuiG7f/MVGVnA21JZEECgoQTo7CIFCLgvEo7DEEAAAQQQQAABBBBAAAEEVkOAOhFYXYEWLxCdO1p8JVtz+PqAXHdpNa65wNWWJ2TU1F24oOY1jtZckFlaJRU+eninIxuVX+FiKQ4BBBBYFgEC7svCSqEIIIAAAg0pQKcRQAABBBBAAAEE6l6gbbPrBatXvpuJYckJSuFWLe2fIwUixYsIhPMD8a4Xe0/HnOIHLPMeC7QPPeTIRt+LfwgggEC1CJRoR6DEPnYhgAACCCCAAAIIIIAAAggggEANCdDU+hVITUjdp+UHw1eit44XOdr3c0cWeF+J+mbXkRh0FC0yGn92XrYRQACBahDw/mxWQzNoAwIIIIAAAgjUuQDdQwABBBBAAAEE6kLALpgaO156xLcFx910trupMUfxoez6Um5b1knNa1c+4G5tjvZIseO2tvJLsFnqOHnl66VGBBBAYLECBNy1WDqOQwABBBBAAAEEEEAAAQQQQACB2hGoTEsTo9LwrtJlHbzGkeWzXOmkq+O3lw7QW75qXlo3ZZSaWJ0+RDpcNXWtzomGan5MaBsCCFSvAAH36n1saBkCCCCAAAIINIoA/UQAAQQQQACBmhEIRqR0onRz3ZQzPdd6U5eX3wtWz3dMqRInjkqxo6sT8LZ2tW2W2k8g6G0WLAgggMB8AgTc5xNq8P10HwEEEEAAAQQQQAABBBBAAAEEZgTCbVLL2pnt2WuZlLd/o6tAaGZP9xkZpSdmtheyZuX13+GoqXd5A94LadNK5j12W0BuY3Z9JZmpCwEEKigQqGBZFIUAAggggAACCCCAQKUFKA8BBBBAAIGqEgg2SZ0nF48AW6C975z8/TZCPNI5fzfGj+TnsXngj97saNMVruzipfl7V3Yr1i9l5hnZX+kWpcYdxfq9vq/e4P5Kd4nyEECgAQQIuDfAg0wXl0uAchFAAAEEEEAAAQQQQAABBBConEDaCzDv/XFAw7uyEWYnKK27xK1cBUsoaeKIo5E92XYtoZgFHWoXqI20LeiQZcpMsQgggED5AgTcy7ciJwIIIIAAAggggAAC1SVAaxBAAAEEVkVgZLcjN1O46uSYo8TQ3H0WRE/F5qbnprRvc7Xp8ozS8+TLPWal1pv7pMTwygbcbfqe7tOq44TDSjlTDwII1L4AAffafwzpAQJVKUCjEEAAAQQQQAABBBBAAIF6FRjeJaUmCgefRx6WYsfn9jwdl0b3Fj7G5mkfO5DdF4hI3adXX5A52ucqGPHa5f0/t3fLkxJqdRVuX56yKbVyApSEAAL5AgTc8z3YQgABBBBAAAEEEEAAgfoQoBcIIIDAsgkEwsXnM0+NS6HWbPA8twEt66SJWXO0T+23QHx8YGqreu97zvKi7XO7Vr0NpmUIIIDAKggEVqFOqkQAAQQaXIDuI4AAAggggAACCCCAQC0LtJ/gygm5BbsQ6ZKaClwgtanbVefJklvgsNgxR9E1BXYUrKFxEo/c4KjY1D2No0BPa1uA1jeiAAH3RnzU6TMCCCCAAAIIIIAAAgg0tgC9RwCBJQm0bZEiRaY66drhKhgtHDxvWefKKTBC3ILxLWuX1KQVOdhNS0MPFOjAMtSeHJOSI44cIlfLoEuRCCCwnAL82VpOXcpGAAEEEFiwAAcggAACCCCAAAIIINBoAp0nuzXRZScojR+W4oPOsrc3MSLmb192ZSpAYHUF6rX2QL12jH4hgAACCCCAAAIIIIAAAgggsAgBDkFgXgGbbz12bG62TEIaOzA3fSolHZOO3Ta1VZv3zWulYnPRV7JHNi1Pz1mZShZJWQgggMCKCBBwXxFmKkEAAQQQQKASApSBAAIIIIAAAgggUA0CyTFHo/vmjvKODXgB9/3FQy3BqNTc5+joLTPHDtzjKB2vhl6V14aO7a5sCpzyci8+V6hZsmXxJXAkAgggsDoCgYpUSyEIIIAAAggggAACCCCAAAIIIFD/AvTQFwhEXGWSM0FzP9G7SU04XpC49PQwrZtctW6UJo44So07GjskBZu8g2vk/0DYO2mwpkYaSzMRQACBVRAg4L4K6FSJAAIIIIAAApUXoEQEEEAAAQQQQGClBCIdUnTN3MB6uFlqWT83fXa7Wta5al7rauKI1EzwejaPv73315LLjDK+BTcIIFBbAgTcl//xogYEEEAAAQQQQAABBBBAAAEEEKgjgVBU6tg2J7CuZi+QHu0rv6NNPa66T5lbTvklrE7OWL9kU+EsV+3JcVepcckhaiX+IYBA7Qnwp6v2HjNajAACCCCAAAIILFCA7AgggAACCCBQjQI2Uj4QqcaWlW5TU7c0vMspnWkJe+PDUqR9CQVwKAIIILCKAgTcVxGfqiWBgAACCCCAAAIIIIAAAggggEANCgw96MidNTh9ZLeXlq7BziywyY4Xa4/2upo46q2Ue+wC8rX0Olp/4QIOICsCCCBQRQIE3KvowaApCCCAAAIIIIAAAisvQI0IIIAAAggsRsCC6+n4zJGuF2jvv9uRE5xJq+e1NRe6auqedcZhAR1ODEuJYafgEXZh1lq6kGzBTpCIAAINK0DAvWEfejpeAwI0EQEEEEAAAQQQQAABBBBAoEoFLCicScw0LjUhhZpntut9LRCSbFlsP4/eFFAm5XrLYkuoq+PoDAII1JFAoI76QlcQQAABBBBAAAEEEECgogIUhgACCCBQTKBjeyZvNLvjOOo8afEjvovVU83pbkZzptUpp72x416wvsmVm3Z09CYn75DhnV7anXlJbCCAAAI1JUDAvaYeLhqLAALTAqwggAACCCCAAAIIIIAAAqso0LZFCrfONCDU6qptS2MF3Afvc2QB8hmFMtcyjvrOlprXuIoPSblT84zuddRxQpnlkK0xBOglAjUmEKix9tJcBBBAAAEEEEAAAQQQQKAqBGgEAggg0OgCzWtdTRzJH6FejknUC7SH27MnJ3rOcJUYzJaRGJEiHa6aOsophTwIIIBAdQoQcK/Ox4VWIYAAAksR4FgEEEAAAQQQQAABBBBYZgGbFiV2PBsotqrGDqroRUBtfz0u0V4pk/SW1OJ717ZZal6XDb5H2qW+87Priy+RIxFoKAE6W4UCBNyr8EGhSQgggAACCCCAAAIIIIBAbQvQegTqXyDsBYeP3DzTT5taxU3PbDfK2sbHZhQIld/bgXscxQfLz09OBBBAoNYECLjX2iNGexFAAAEElibA0QgggAACCCCAAAIIVEAgGJE2PdbVod9mR7mnY46Cza74J8X7pcPXOxq41wuue+tTJumYNLbfUVPXVEr2Pj7gaHSPo9jx7Da3CCCAQEUEVqmQwCrVS7UIIIAAAggggAACCCCAAAIINKQAna4fgWCTtO4Rrlwvzt6+1VUoWj99K7snXt+nAuU2B7sdF/EC6h3bXX/ke8wLpluaLUM7HXWc5B1gGzlLqMXVvp9nT1zkJLOKAAII1KQAAfeafNhoNAIIIIAAAssiQKEIIIAAAggggAACCxRwvDixLZ0nzw0kL7Co2szu9X/gnoB2/o+jkHcCwjrheNGm5rWSmXTmBNi7TnFlgXjLk7vYiYvTXpmRzQmfm846AgggUIsC3p/AWmg2bUQAAQQQQAABBBBAAAEEEEAAgfoXoIe1KLD24oy2PdNVIFK69QuZ6710SexFAAEEqleAgHv1Pja0DAEEEEAAAQSqSYC2IIAAAggggAACCBQUsBHqBNML0pCIAAINKEDAvQ4edLqAAAIIIIAAAggggAACCCCAAAL1L0APEUAAAQSqX4CAe/U/RrQQAQQQQAABBBCodgHahwACCCCAAAIIIIAAAggg4AkQcPcQ+L+eBegbAggggAACCCCAAAIIIIAAAgjUvwA9RAABBKpDgIB7dTwOtAIBBBBAAAEEEECgXgXoFwIIIIAAAggggAACCDSMAAH3hnmo6SgCcwVIQQABBEI1jawAABAASURBVBBAAAEEEEAAAQQQQACB+heghwggsHICBNxXzpqaEEAAAQQQQAABBBBAIF+ALQQQQAABBBBAAAEE6kqAgHtdPZx0BgEEKidASQgggAACCCCAAAIIIIAAAgggUP8C9BCBygoQcK+sJ6UhgAACCCCAAAIIIIAAApURoBQEEEAAAQQQQACBmhMg4F5zDxkNRgABBFZfgBYggAACCCCAAAIIIIAAAggggED9C9DDhQsQcF+4GUcggAACCCCAAAIIIIAAAgisrgC1I4AAAggggAACVSlAwL0qHxYahQACCCBQuwK0HAEEEEAAAQQQQAABBBBAAAEE6l+gcA8JuBd2IRUBBBBAAAEEEEAAAQQQQACB2hSg1QgggAACCCCwagIE3FeNnooRQAABBBBoPAF6jAACCCCAAAIIIIAAAggggEA9CxBwzz663CKAAAIIIIAAAggggAACCCCAQP0L0EMEEEAAAQSWVYCA+7LyUjgCCCCAAAIIIFCuAPkQQAABBBBAAAEEEEAAAQRqXYCAe60/givRfupAAAEEEEAAAQQQQAABBBBAAIH6F6CHCCCAAAJLFiDgvmRCCkAAAQQQQAABBBBYbgHKRwABBBBAAAEEEEAAAQRqQYCAey08SrSxmgVoGwIIIIAAAggggAACCCCAAAII1L8APUQAAQTKEiDgXhYTmRBAAAEEEEAAAQQQqFYB2oUAAggggAACCCCAAALVIkDAvVoeCdqBQD0K0CcEEEAAAQQQQAABBBBAAAEEEKh/AXqIAALTAgTcpylYQQABBBBAAAEEEEAAgXoToD8IIIAAAggggAACCKykAAH3ldSmLgQQQGBGgDUEEEAAAQQQQAABBBBAAAEEEKh/AXrYYAIE3BvsAae7CCCAAAIIIIAAAggggEBWgFsEEEAAAQQQQACBSgsQcK+0KOUhgAACCCxdgBIQQAABBBBAAAEEEEAAAQQQQKD+BeqwhwTc6/BBpUsIIIAAAggggAACCCCAAAJLE+BoBBBAAAEEEEBgMQIE3BejxjEIIIAAAgisngA1I4AAAggggAACCCCAAAIIIIBAlQpUMOBepT2kWQgggAACCCCAAAIIIIAAAgggUEEBikIAAQQQQACBYgIE3IvJkI4AAggggAACtSdAixFAAAEEEEAAAQQQQAABBBBYRQEC7iuETzUIIIAAAggggAACCCCAAAIIIFD/AvQQAQQQQKCxBQi4N/bjT+8RQAABBBBAoHEE6CkCCCCAAAIIIIAAAggggMAyCxBwX2Zgii9HgDwIIIAAAggggAACCCCAAAIIIFD/AvQQAQQQqH+Bhgu4p9JpZTJuwUd2ZHRcA0Mjc/b99Nc36ejxwTnpJCCAAAIIIIAAAgjUiQDdQAABBBBAAAEEEEAAAQQqINBQAfeJWELPec1f6vtX/zaPbnwipje9+6N65NPfoMc860168Rvep2P9Q9N53vX+z+j+nfumt1lBYCUFqAsBBBBAAAEEEEAAAQQQQAABBOpfgB4igEB9CDRMwP2fPvU1XXTV6/TQ7gNzHrmvfOtqP6D+829+RL/93icUDAT00c/+95x8JCCAAAIIIIAAAggg0IACdBkBBBBAAAEEEEAAAQTKFGiYgPtrX/w0Xf2ND2ndmu45ND/8+e/0vKc/Tmv7utTe1qKXP++J+p/v/0quO3fqmeMDw3rdn/6TvvD1H84phwQEEFhpAepDAAEEEEAAAQQQQAABBBBAAIH6F6CHCNSOQMME3Ls627R+TY/CoZBm/9u977BO2LRuOnnLxrX++vDouH8/dTM0MqbXvu0f1NbarJc994lTydwjgAACCCCAAAIIIIBAowrQbwQQQAABBBBAAAEEcgQaJuCe0+e8VRvFbnO4R5si0+lNkbC/Pj4e8+/tZsxbf+O7PqItm9bqg3/xeoWCQUvWxt5mlio1cBxpQw+PD8/R+nsO9HZEyvq7U+5jv647qmDAqWiZ5dZNvvp7ftb7Y9rTHlE0EuT1UqXv/fX+/KvG/q3piioSCvCa4DWxLM+BSn/mWe3XUFdbRK3R0LJYrXbfqJ/PdJV+DthrxV4zlS63nPL8YA83CNSYAM2tLoFAdTVn5VvjOI5amqOKJ5LTlU+tt7REp9Pe/YHP6pY7H9DbX/9ChUPB6fQDxyfEUp0GNiPQwf7qbBvPGR6XpTwHjg8nKvp35/BATOmMW9Eyl9I/juX1Uc3Pgf6RhGKJNK8XPv/wHJh8DhwdjCmRyuAx6VHNf79WqW1Lem5U+jPPahsMjiY0FkstyWS1+0D9fE5bqeeAvVbsNbNS9eXWMx3wYQUBBBBYpEDDB9zNbevmddqz/7Ct+sveA0f8+462Fv/ebp7xpEv12Eeeq9e/80MaHBq1JBYEEEAAgZoVoOEIIIAAAggggAACCCCAAAIIIFD/Aivfw4YJuKfSaSWTKV84mUpNr1vCky+/WN/47i905NigRscm9B/f/Ime89THynEc2+0vVz7mAv3ze96gzo42/dG7PqzxibifXs7PkcjTvCo/m7SHjyllVsee53xtuTOlTG09Xry+VvfxYkqZ1fXn+V99/kwpU32PCa+T6n1MbHqM1twpZZiKaFW+J/Iaqd7XSO5jY68Ve83kpq3Uuh/s4QYBBBBYgkDDBNzf8b5/03lPfK32HTyqv/jg5/z1XXsO+nQv+b0n6MStG/X45/2JHvG0P/KD8W96zXP8fVM3AS9629LcpE/+/Vs0NDyqt773Y0qnM1O7uUcAAQQQQKBuBOgIAggggAACCCCAAAIIIIAAAggsTqCWAu6L6+HkUR967xt01y++kLdsP2GD7F9rS1Sf/MBbdO13P65f/s9H9bV/e4/W9nXZLn+54Qef0qMuOtNf7+ps0/e//EF96oNvUzDYMHx+37lBAAEEEEAAAQQQQAABBBBAYAUEqAIBBBBAAIGaFSBinPPQdba3qq+nMyeF1eUSGBkd18DQiDIZd7mq8MsdGhnzpwryNwrcJBJJHT46INeusDpr/0QsoQOHji17G2dVyyYCqyawlNdLKp3WwSP9eRegXrWOUDECyyiQSpd+rtv72qGj/bLXxOxm2L5j/UOy19rsfbnbY+Mx//Vk+XPTWUegWgXsuTrfc9v222erQn2w14RN7Vho31SaTQ253/tcZp/dptK4R6BWBew9otTnJntN8V5Sq48u7S4lYLMMXH/LPaWyyN4rSn0Pt/eBYt/h53ttTVV8fGBYtkxtc48AAghUWoCAe6VFV6u8Gqn3uz++Vq95ywf1yKe/QY951pt09hWv1lvf+4mKt96+1D31Ze/Upc94oz9V0DNf+eeyuqcqsgD7J774bZ3/pD/QFc9/ix77e2/WbXc/NLVbb3r3R3XRVa/TE1/0dj3uOW/WP3/q69P7bMXKO/PyVyl3+cQX/td2sSBQEQF7vtrz62V//Hd55T3vD96T91zO27nIjaW+Xj7zn9/TuVf+vp7wgrfqAu819db3flxDw2PTreH1Mk3ByjILXPyU10//XX5w1/6K1zbfc/2X193mT0135fPf6r8mvv7dX0y34bob7/L3Pe45/89/b3rVn3xAd963a3q/rdjx9t51yVNf77+eHny48n2weljqX8CmULT3kBf+4V/ndfaeB3b7r5HXvv0f89KXsjHfc3vP/sOy57U99+2z1V/+w+eVTKX9Kud7/7FMFpx5+Zve708H+STvc9n//ODXlsyCQEUEpj5vfeQz38wr7z//5yf+a8X+7uftqMCGlVnqc5O9F9g0p7yXVAC7nouogr7d99Be/3Vi7zf2GaycJv36+tv1b1/6TtGspb6Hz/cdfr7Xlp3IsjyXPftN/vf/q17yjqLtYAcCCCCwVAEC7ksV5PiyBW658wH92fs/rcc+8lz9+n//1Z++5xN//xYdOTZQdhnlZrQ302df9Rhd/Y0P6bff+4Suevwl+psPf8k/W25l3HrXg/r4v39L//Gvf65bf/JZPfuqy/SW93xsejT7qSedoG99/m91048+rfe94/f1+a9+X3fcs9MOnV7e/PvP9acXsimGbLFrAUzvZAWBCgi0NEdlrxv74lWB4ooWsdTXi0219bkPvUM3/vDT/uvmhlvv1bdmBUR4vRTlZ0cFBX7x3x/R97709xUsMb+oUs91G4319r/5pP74Nb+n267+nD76vjfpr//5C/61Y6wUJ+Dor97yCn/6up9948Oy6ew+/u8zJ2p/ce2tesO7PqwnPe5ivw/XfPtj2rJxrR1aUwuNrS4BO6nzu1vunW7UF77+w+n1Sq3M99z+24/8h047+QT/PcJenz/8+e/0w59d71c/3/vP4aMDevor3qV1a7r9z2z2PvPkyy/2j+UGgUoKWBDOfmlhZdoJoc/91/dtdVkW3kuWhZVCV0Fgx/bNuv7/Pqn3v+sPKlZ7qe/h832HL/XasgZ++NPf0Je+8SO9/hXP8uMR3/3S+y2ZBQEEEFgWAQLuy8JKoYUEdu4+6Ce/9LlPVE9Xuz99z+Meda6+/LF3++l2Yz8ds7PadobcRl/96Bc3WLK/fOBjX5Etr/vTf/LPpNvI3z37j/j7Zt/YHPyve9kztH5Nj9rbWvTMJz9a4xMx3fPAw37Wn/3mFn9e/gvOPkXhcEgvf96T/Kll7ntoj7/fAiannLhZ0aaILr/0PP+L3nU33eXvm7pZ09uprZvXTS/2Bi/+IVBBAXt+vfYlT9NHPvON6ZNBucXbF8N3f+CzstfLFc9/i+xXG/YzShtdbqMaLdAylf/o8UFZmo00nEqbul/q6+X5T79cj7zgDDVHI7LXzeWXnq9f/fa2qeL9e14vPgM3yyxgQez2tpa8Wv7jmz/Wk1/8p/77ho1o+sQX/nd6GjF7T/mnT31Nf/RnH/ZfR+9436e090Dh9xUrtNRz/Xe33OO/z7z4WVcoFAzqCZdd6L8//PK6W+1Q/zXyjCddKpu+zoKHV11+if86sdesjdj66Ge/Kdv/J3/wPNk1Zuw9xV5T/sHcILBIgZc+5wn67Fe+5x9t07F87yfXyZ7HfoJ3Mzg0qhe/4X3+89/eS171Jx/QfQ/t9fZk/7d9P7/2Fn/Qgq0/tPtAdkfOrf39t+duoee2vU9dc8Od/ucsez7bc/vZVz1aP/5l9vPd2r4ulfq89sWv/9D/zPiBd79O9pnNyujubM+pnVUEli5w+o6t/vPrG5O/SvrJL2/Ump4unX/WjunCS71W7GTr17/z8+m89jf9jX/+Ee95fuN0Wu6KvQbtdWPP59mfm3gvyZVivdoFAgFHba3N3neApumm2vcP+1XSdIK38vp3/rNuuv1+b23+/0t9D5/vO3zOa2vOdxL7LmSD6N76hy+QvTf2ePEIixXM3yJyIIAAAosTIOC+ODeOWoTApRef5R/1J3/1r/rZNbf486P7CZM3NprEguwWLPnSv7xLz3nKY2VTU9gXRMuye99h/d9Pr9OVj7lAdhHc4ZEx/dt/fMd2zbvYiFvLtG1L9kIgyVAkAAAQAElEQVS5B48c1/Yt6y3JX+wLn60Umj/U6rURVna23fJMLd/43i/1Fx/8nCx4UyiIOZWPewSWIvDqFz5F9+/cp5/86sY5xfzdR/7D/+XFP/7l6/XHr/49/ftXf6Cvffvn6uxo9Zf/+f7Mz+5/8LPrNRGL64RN6+aUMzthKa8Xex1fc8MdOvPU7XnF8nrJ42BjBQXWeSde3/nHL9H//vvf6q/f/mp93Au4/+q3t/stsL/v9pp5zCVn6ePv/xPZ9je+OzMNjEr8m/1cP3xswA+wRyLh6aNO2rpRh44U/hXXNTfeKQvyWHB+wAt62ut8bGxC9qXUvqjae0ssnpgui5V6EFj5Prz42VfKAt533few/vO/f+IHvqc+81hrbHS6jRj/3D//qT+CfG1vl+xEru2z5fa7H9If//lH/ZNIls9+eWXppZbc5/ax44N+1s0b1vj3dmPvQzZ3ta3PXma///zmd3do47o+vf2vP+mfNH7vP31BNq/17OPYRmCpAjbA4d/+47san4jrM//5Xf3By56eV2Sp18pZp23Xp7zvJOl0xj/m5jsekP1q6eLzTvW3S93wXlJKh321KGDXobn5jvzgur0H2TXcFtof+1yW+z18Id/hZ7+2br97p1/9nffukn3OsrjDd358jZ/GDQIIILAcAoHlKJQyESgksGFtjz7/4XdqeGTcnyPd5ke3OT3tA6nlv+n2+/xgx3Oe+ljb1PYT1ussL2j3y+tmRsq+4vlP1gufdYWefPkleuOrn+2PDrRRJP4BRW4e2LVP7/+X/9QfveJZ/igpy2bB+mhTk61OL/YlcnR8YnrbVuwDg50gsFFVj7nkbEvylydffrEe+8hztHF9n3/y4LmvfY9qNuju94ibahWwUa5ves1zZKNfU+n0dDPHJ2L6v6t/6/8k8vJLz5O9bp77tMfqm9/7hZ/n+c+43Au+/8wLsmcDdt/0ThC9+Peu9PeVulnK68XK/duPfEkjoxN+UMe2beH1YgosqyXwpMddpK2b1ureB/bo4X2H/PcBu59qz+u8oMpLn/NEXXL+aXrBMx8vm1t0al+p+9nPdXtfsfeR3GOamiLe62E8N8lf/+6Pr/WvxfC2P3yBv334aL9/39vd6b2WH6dnPfnR+vev/VAf+Nev+OncILBYgZ7uDn8k3z9/6mv64jd+pJc994l5Rdmo9Bc+8wpNeCd3brvrQdkJo3se2J2X51MffJv+/M0v1atecJXss1zezlkbs5/bw6PZ57+VO5XVXhf9g8NTm9P3hd5/bES9/XLlysdcoNe8+CmykZN2LSC7gOr0gawgUAGByx5xjv/8fttff8IPuj/+0vPzSi31WrG/2YePDujaG+/yj/n6d3+u33vKZSrn1xh/O+tzE+8lPiE3CKjQ93B7fZTzHd74Zr+2pk7W9vV26tUvvEoXnnOK3vX+z/jfpyx/Qy10FgEEVkSAgPuKMFPJlMAjzj/dH0Flc73Z/OmnnLhF9pNL+0Jm08lYPrto0d999MuyxaZ7sVG5lj572X7CRvUPjujo8aHZu6a3bXT8H77jn3XFY87XH73yWdPpHe2tiieygcipRAtgtrU0T23K5uO1ed3T6Yz+9W/frGBw5uXyxlf/niyA/wavzP/6xF+qva1ZV//65uljWUGgkgIWILHn+f/99LfTxdoXO9s489RtducvdoJq38Fj/vrjHnmuLPj3s2tu9gMUFrR46pWP9PcVu1nK68XK/MQX/lcW2LcTa7kjKHm9mA7LagnYtDHPfNW7ZVNY2HuGva9kvL/rhdrT1hr1Ay2F9uWmFXqu2/uKvY/k5ot7QUz71VZumo02tuuZvOetr/SnNsvd9+bXPld2guB5T3+c3vWml/hfAuc7qSz+ITCPwMue+yRdf8s9/pRFuSPN7TC7uPCTXvQ2/3oDd3uB9lTOiV3bb4u9Lux+vqXQc7ujrcU/LDdAbq+Lnq4OP33qxt5/Cn1es/12QuwZT7rUH2xhv+iyEY8792SnKbT9LAhUQsCmxviDlz7dH8zzhy9/Rt7nfiu/1GvFAusWdP/G936uY/1DsqmbXvTsK+ywkgvvJSV52NnAAsW+h9tnrfm+wxtbodeWpdsvD+07/BXeSVy7t/cWm0LK9rEggAAClRaYiSBWumTKQ2CWwPhEfDqlrbVZNmr8ba/Pju6778E9spF9FiD8wkf/zJ/X3eZ2t+X3X/zU6eNyV+wY2+7qaLW7OYt9MH7R6/9aNmLl7/7stXkfnDes7dXDew9NHzM1lcxUkNBOAPzRn31INhf2l/7lz2WjjKczz1qx4I3N82ijw2btYrP2BaqiB/Z6+ePX/J5slPv4RMxv01SwYldO0MGe0zZXumWw0YQv9r7s/ff3fqnv/OgaPfuqx/hzR9u+QstSXi920bt//MRX/RG53/j0e3X2adsLVeGn8XrxGbhZRgH7CbEVbydJjw8My+Zwt5NA//p3/09vf/0L/Tk9bf9illLP9XV93f6vtHIDizZNzPq13dNV/egXv5Ndh+Rv3/n7/mj6qR32aylb35czf3wqlfaC/zG5ru1hQWDxAidsWqu/fMsr9Icve8acQv77+7/SSds26btf/HvZlEsvfvaVc/KUk1Dsud3X2+UfnnttBHuv2rC2x0+3m1LvPzbtUu4vCDOZ7JQdiWTKDmVBoKICVz3+Elmw/WlPeNSccud7rdgvC23wzSe/+G3/F7o2CGJOIZMJmYyrYp+beC+ZROKupgTsM8tUg22qvKn1xdyX+h6+YZ7v8KVeW3bC2QYgTX1OtLZZu5Mp3k/MgmVagBUEKiZAwL1ilBQ0n8AXvv5DvfW9n9Btdz/k/0TMRifZXIkWZLeR7ueddbJfxD98/Kt+kMECizadzE9/fZOfbjf7Dh71f55/y50P6Mv//RPZVBUWWLR9uYtd8OtZr363HnXhmbI5GW00sI2eGhga8bNd8Zjz/TlNb77jASW9oMaXvvkj/8KoNk/7uHdi4GVv/FsdOTagv3nHazTmBTjt2Kn5Ru2Ln/XFfpZmx9ooFvuJs43e9wvnBoFlEHjBMx4vC+TZyD4r3uZpt4t5ffXbV+vg4eO6+/6H9d2fXKsrH3Oh7fYX+zmzjWr8z//5qZ77tMf5aYVulvJ6sfL+6h8/L3tNfOi9b1RnR5vs9WKLjZTk9WJCLMstkE5nZCef7OfHFvizL1Xbtqz3L4ptddsvqGyfvafcdPsDlrSopdRz/eLzTvPL/K//vVqpdFr23mXvWY971Hl++re9E19v9d4D/+yPX6JLzj99+nUy7r3H2FQFlz3ibH3s37/lv//t2X9E//1/v9ITH3uRbNSlXwA3CCxB4EXPukLbT9gwp4S2lqhGxyZkn4/svaTcaxjkFjTfc/tRF53pnfj6if/LQXudfufH1+pJj7vYL2K+95+nXvkI2UXu7D3FLsD6H9/8iT8t1MneSQK/gIa5oaMrIWCDAt78+89VU861OKbqne+1Yp/JTjlxs7767Z/lTas3dXzuPe8luRqs16qA/U22QWt2/9Nf3+gPcrO+nL7jBLuTTRtr7y1f+dbVsl8Y+onz3IzP8z38ihLf4a3oUq+t88/e4f/699++9B2lvc+NFpOwa1w9+uKz7VAWBBBAoOICBNwrTkqBxQTOP/Nk7fcC5i95w/t0yVNfr2e84l26675d+vQ/vs0L0rX6o29t/Te/u10XP+X1/vL2v/mkHO+/qTK/f/X1euTT36CX/fHfyeb0/PM3v2xqV979zt0H/G2b4/qql7xDT3rR2/3lgx//Lz/9PK8tr3/FM/XyN/2dznvC7+tr3/65/vk9b/ADGyOj47Kz3xbYfM7v/6V/nB3/gte9xz/Wbr70jR/pyue/1T/2nX/3b3rnG1/szwNn+1gQWA6B5mhEb3rNc/KKfp93QujAoeN6wgvfpue/7r06efsm2XzUU5ksuGK/JNm6eZ3OPyt7QmtqX+79ol8vAccv5oZb7/XvX//Of55+vdhrZv/k9Da8XnwebpZRIBZP6Onee4q9t3z7h7/Rn73pJXIcRzadxVv/8AX6iw9+zn/fsXmse7ra/X1TzXGc7PM4u527nk3JvS31XG9pbpKNorf3mXOv/H39v7/8V/3Fn7xcFvy3MuyLnd3bFDf2+phafvSLGyzZy/sK/wupvf895aXv8N/j7Hh/JzcILFLAcUo/p58zeTL2cc/5f/57ybH+7EVOF1LdfM/td3uf1ezz3kVXvc5/nT7pcRfJRhJbHfO9/7zsOU/UIy44w39vufQZb9Svrr9NH3//n8jeE+14FgRWSuA5ZbxWnv7ES/2A3hO953ipdvFeUkqHfbUiYBcfffzz/kT2t9lO3L7xVdnpW20w3Rtf9Wx/2tjHPOtNuuaGO/wuOU72/chxsvd+4qyb+b6Hl/oOb0WVem3ZZ8J/ed+b/OuZnHPla2QxiZf83pV6wTMvt0NZEECgHAHyLEiAgPuCuMi8FIFHXXSmvvZv79HNP/6Mfvr1D8nmcf/W5//WCwTumC72/LN26Ptf/qCu/e7H9cv/+ah+9/1P6srLLpjeb8HEG37wb7rue5+QTRHQ19M5vS935SlXPEJ3/eILc5YP/Pnr/GyO4/jBy5t+9Gn95Kv/5LfF6rad69Z0zznOyvr1//6r7dYJm9bpaq/9v/rWv+iHX/kH3Xb15/SK5z/Z38cNApUSsDkFv/mZv84r7gXPfLz/3LR9tsMC6t/54vv1829+xH/NWBBi9nzRdq0Ee005TvEPt0t5vVg7fvRf/+i3y14nuYsF+nm9mBDLcgvYCVj7e/6bb/+r7H3l8ZfOXOzOpiX73fc/5b/v2OvFnq+veuFVfpM++YG3+L+C8je8mydffrFsv7da8H/bl/scn1q357odcMWjz9ftV39eP/beV279yWf14pzpOf7qLa8o+DqxX6LYsRaYt9e8vZ7t/abUe5zlZ0GglIA9n+z5aQGG2fne4AVCPvtPf+onb1jbI3ve2Wch+3xlF0i14/yd3o2tT30+8jYL/j/fc9veq+y187NvfNj7XPcp2TR/NpLYCpvv/cd+xfhPf/VH/ue+n37tn/3PX+eccZIdyoLAtMBSVuwzlb0GCpVhU1vavO62b77XiuWxEb2veP6TCo6Qt/1Ti70e7LU1e+G9ZEqI+1oQePTFZ+m33ndy+07/6X98uz892VS77X3GPntd+52P+ydJ7bn+uEed6+9++fOe5H+P9zdm3cz3Pdxxin+Ht6Lme21ZPOK6733c/5x2ww8+pXf/v5drqVPgWL0sCCCAQCEBAu6FVEhbVgH7maZ9aLV5qYtVZD+vt2C648wNEtoowkJfIIuVVSo92hSRzZ270J/sO46j3u4Obdm4ljdp8W+1BezaA/aaWe528HpZkDCZV1jAnp924bpC1VpA3t53Cu2rdJrNHb9pfd/0dDYLLd9ezz1d7Qs9jPwILEnAPgvZ56slFTLPwRZIsdfiPNkK7rbPfRvW9eb9OqVgRhIRlpytpgAADHtJREFUWGaBYq8Vm17y5jvu1/MmR8IvtRm8lyxVkONXQsAG+hT7Tm9/720KzOVoh33ms9fiQr/DW1sswG6f02wkvm2zIIAAAhUSmFMMAfc5JCRUq8DLnvtEPfaR2TPj1dpG2oUAAggggAACCCCAAAKNJRAMBPQv73uz7MRQdfWc1iCAAAIIIIDAaggQcF8NdepclID9bO3Uk7Ys6lgOQgABBBCoIgGaggACCCCAQB0JnL5ja940mHXUNbqCAAIIIIAAAosQIOCeg8YqAggggAACCCCAAAIIIIAAAgjUvwA9RAABBBBAYLkECLgvlyzlIoAAAggggAACCxfgCAQQQAABBBBAAAEEEEAAgRoWIOBeww/eyjad2hBAAAEEEEAAAQQQQAABBBBAoP4F6CECCCCAwFIECLgvRY9jEUAAAQQQQAABBFZOgJoQQAABBBBAAAEEEEAAgSoXIOBe5Q8QzasNAVqJAAIIIIAAAggggAACCCCAAAL1L0APEUAAgfkECLjPJ8R+BBBAAAEEEEAAAQSqX4AWIoAAAggggAACCCCAQBUIEHCvggeBJiBQ3wL0DgEEEEAAAQQQQAABBBBAAAEE6l+AHiKAgAkQcDcFFgQQQAABBBBAAAEEEKhfAXqGAAIIIIAAAggggMAKCRBwXyFoqkEAAQQKCZCGAAIIIIAAAggggAACCCCAAAL1L0APG0eAgHvjPNb0FAEEEEAAAQQQQAABBBCYLcA2AggggAACCCCAQAUFCLhXEJOiEEAAAQQqKUBZCCCAAAIIIIAAAggggAACCCBQ/wL11UMC7vX1eNIbBBBAAAEEEEAAAQQQQACBSglQDgIIIIAAAgggsEABAu4LBCM7AggggAAC1SBAGxAoV+Do8UH97Dc3l1z27D8iW771g19rYGik3KLJhwACCCCAAAIIIIAAAgggMEug0gH3WcWziQACCCCAAAIIILCaAnfd97De9Bf/UnL5ze/u0B337tRffPBz2n/o2Go2l7oRQAABBGpHgJYigAACCCCAQAEBAu4FUEhCAAEEEEAAgVoWoO25Ao971Lm69aefm16e+NiLdPqOrdPbtu9Fz7pCT/LSr/n2x3TaySfkHs46AggggAACCCCAAAIIIIDAAgQIuC8Aa8lZKQABBBBAAAEEEFhhAcdxFA4Fp5dAIPvxLz/N0b0P7tEfv/ujGhjMTinztW//TH/yVx/TV737Z77yz3XxU16vP3v/pzU0MqZPfPHbevKL/1RXPP8t+uxX/k8TscR0r0ZGx/V3H/0Pf9+Zl79Kr3nLB/2ypzOwggACCCCAQCMI0EcEEEAAgYYVyH7jatju03EEEEAAAQQQQKCxBIr1dtgLlN9y5wOKJ5J+Fpta5ie/ulH//tUf6BlPulSvesGT9d0fX6tLn/FG/fBn1+uFz3q8nnblo/ThT39D19xwh39MOp3Ra9/2j/rVb2/XK19wlT7w56/T2HhML3/T+2WBeD8TNwgggAACCCCAAAIIIIBAHQsQcK/jB7fGukZzEUAAAQQQQKDKBHq62vXtL/yd/uClT9cbX/17uuwRZ+ukrRv135/9G73mRU/V217/Ap116nYv4H6n3/JfXX+b7rxvl/7hL1+vVz7/yX6g/n3v/H2NT8R0/S33+Hm4QQABBBBAAIGGFwAAAQQQqGsBAu51/fDSOQQQQAABBBBAYPECLc1RRZsi0wX09XSpOdqkcDg0nba2r0sHD2cvtHrfg3v99Pd9+Et63h+8x1/e+bef8tMO1MTFWP2mcoMAAggggAACCCCAAAIILFqAgPui6TgQgRUUoCoEEEAAAQSqQCAYnPvR0Qk40y2LxbNzuf+/1z5XU8tb//AF+tQH36rLLz1/Oh8rCCCAAAIIIIAAAkUESEYAgZoXmPutqea7RAcQQAABBBBAAAEEVkNg+wkb/Go3rO3VZY84J2/ZsnGNv4+b2hWg5QgggAACCCCAAAIIIDC/AAH3+Y3IgQAC1S1A6xBAAAEEqkTgCZddqHVruvXmv/wX/fK627R732H//q3v/bh+cd2tVdJKmoEAAggggAACCCBQowI0G4GaECDgXhMPE41EAAEEEEAAAQSWVyDgZKeGcZz8+9xaHTm5m/56wAnI8RbbaG2J6rP//A6tX9OjN7zrw3rqy97p3+/Zf0Qb1/VZFhYE6lSAbiGAAAIIIIAAAgggkBUIZO+4RQABBBCoSwE6hQACCMwS+NB736BvfuavZ6VKj7roTN31iy9o0/psYPwtr3u+fvRf/5iX771vf5W+9m/vyUv7yN/8sT75gbdMp514wgZ9/sPv1E0/+rR//O++/ym/vlNP2jKdhxUEEEAAAQQQQAABBBCosADFVY0AAfeqeShoCAIIIIAAAgggUD8C0aaINm9YIxv1Xj+9oicIILAYAY5BAAEEEEAAAQQaSYCAeyM92vQVAQQQQCBXgHUEEEAAAQQQQAABBBBAAAEEEKh/gRXtIQH3FeWmMgQQQAABBBBAAAEEEEAAAQSmBLhHAAEEEEAAgXoTIOBeb48o/UEAAQQQQKASApSBAAIIIIAAAggggAACCCCAAAILFqi5gPuCe8gBCCCAAAIIIIAAAggggAACCCBQcwI0GAEEEEAAgVoUIOBei48abUYAAQQQQACB1RSgbgQQQAABBBBAAAEEEEAAAQQKChBwL8hSq4m0GwEEEEAAAQQQQAABBBBAAAEE6l+AHiKAAAIIVKsAAfdqfWRoFwIIIIAAAgggUIsCtBkBBBBAAAEEEEAAAQQQaGABAu4N/OA3WtfpLwIIIIAAAggggAACCCCAAAII1L8APUQAAQRWU4CA+2rqUzcCCCCAAAIIIIBAIwnQVwQQQAABBBBAAAEEEKhzAQLudf4A0z0EyhMgFwIIIIAAAggggAACCCCAAAII1L8APUQAgeUWIOC+3MKUjwACCCCAAAIIIIAAAvMLkAMBBBBAAAEEEEAAgToQIOBeBw8iXUAAgeUVoHQEEEAAAQQQQAABBBBAAAEEEKh/AXqIQCUECLhXQpEyEEAAAQQQQAABBBBAAIHlE6BkBBBAAAEEEEAAgRoRIOBeIw8UzUQAAQSqU4BWIYAAAggggAACCCCAAAIIIIBA/QvQw3IFCLiXK0U+BBBAAAEEEEAAAQQQQACB6hOgRQgggAACCCCAQBUJEHCvogeDpiCAAAII1JcAvUEAAQQQQAABBBBAAAEEEEAAgfoXyO0hAfdcDdYRQAABBBBAAAEEEEAAAQQQqB8BeoIAAggggAACKyxAwH2FwakOAQQQQAABBEyABQEEEEAAAQQQQAABBBBAAIH6EyDgPvsxZRsBBBBAAAEEEEAAAQQQQAABBOpfgB4igAACCCCwDAIE3JcBlSIRQAABBBBAAIGlCHAsAggggAACCCCAAAIIIIBAbQoQcK/Nx221Wk29CCCAAAIIIIAAAggggAACCCBQ/wL0EAEEEEBgkQIE3BcJx2EIIIAAAggggAACqyFAnQgggAACCCCAAAIIIIBA9QoQcK/ex4aW1ZoA7UUAAQQQQAABBBBAAAEEEEAAgfoXoIcIIIBACQEC7iVw2IUAAggggAACCCCAQC0J0FYEEEAAAQQQQAABBBBYXQEC7qvrT+0INIoA/UQAAQQQQAABBBBAAAEEEEAAgfoXoIcINLwAAfeGfwoAgAACCCCAAAIIIIBAIwjQRwQQQAABBBBAAAEEll+AgPvyG1MDAgggUFqAvQgggAACCCCAAAIIIPD/2bFjHABBIAiA//+1saIlGPBumcLEQuR2rlsCBAgQIEAgQkDhHrFGIQgQIECAAIF9Av5MgAABAgQIECBAgAABAgTmBBTuc041vzIVAQIECBAgQIAAAQIECBAgkC8gIQECBAi0EVC4t1mVQQkQIECAAAEC9QRMRIAAAQIECBAgQIAAAQJDQOE+LLxlCUhDgAABAgQIECBAgAABAgQI5AtISIAAgVICCvdS6zAMAQIECBAgQIBAjoAkBAgQIECAAAECBAjcJqBwv23j8hJ4BTwECBAgQIAAAQIECBAgQIBAvoCEBAgcF1C4Hyd3IQECBAgQIECAAAECBAgQIECAAAECBAgkCijcE7cqEwECXwScJUCAAAECBAgQIECAAAECBPIFJCSwRUDhvoXVTwkQIECAAAECBAgQILAq4BwBAgQIECBAgEBXAYV7182ZmwABAn8IuJMAAQIECBAgQIAAAQIECBDIF5BwWUDhvkznIAECBAgQIECAAAECBAicFnAfAQIECBAgQKCywAMAAP//YfJcYgAAAAZJREFUAwCPWWQBFqNGCQAAAABJRU5ErkJggg=="
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import plotly.graph_objects as go\n",
+    "from tradeexecutor.analysis.multi_asset_benchmark import get_benchmark_data\n",
+    "\n",
+    "benchmark = get_benchmark_data(\n",
+    "    strategy_universe,\n",
+    "    cumulative_with_initial_cash=Parameters.initial_cash,\n",
+    "    start_at=pd.Timestamp(Parameters.backtest_start),\n",
+    ")\n",
+    "\n",
+    "colours = {'Champion (C-eq / no gate)': '#1f77b4', 'Winner (C-ivw / ret30 gate)': '#2ca02c'}\n",
+    "fig = go.Figure()\n",
+    "for name, st in states.items():\n",
+    "    curve = calculate_equity_curve(st)\n",
+    "    fig.add_trace(go.Scatter(x=curve.index, y=curve.values, name=name,\n",
+    "                             line=dict(width=2.5, color=colours.get(name))))\n",
+    "for col in benchmark.columns:\n",
+    "    label = col if isinstance(col, str) else getattr(col, 'get_ticker', lambda: str(col))()\n",
+    "    fig.add_trace(go.Scatter(x=benchmark.index, y=benchmark[col], name=f\"{label} buy & hold\",\n",
+    "                             line=dict(dash='dot', width=1), opacity=0.55))\n",
+    "fig.update_layout(\n",
+    "    title='Equity curve \u2014 winner vs champion vs BTC/ETH buy & hold (25,000 USD start)',\n",
+    "    yaxis_title='Portfolio value (USD)', xaxis_title='Time', legend_title_text='',\n",
+    ")\n",
+    "fig.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "md_best",
+   "metadata": {},
+   "source": [
+    "# Asset weights\n",
+    "\n",
+    "How each strategy distributes the portfolio across vaults over time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "code_best",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:25:13.587398Z",
+     "iopub.status.busy": "2026-07-23T19:25:13.587177Z",
+     "iopub.status.idle": "2026-07-23T19:25:19.431019Z",
+     "shell.execute_reply": "2026-07-23T19:25:19.430539Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Equal (C-eq / no gate) \u2014 portfolio equity curve broken down by vault\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inverse-vol (C-ivw / ret30 gate) \u2014 portfolio equity curve broken down by vault\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Equal (C-eq / no gate) \u2014 weight allocation statistics\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>At</th>\n",
+       "      <th>Pair</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Address</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2025-10-29</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>$14,847.47</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2026-05-21</td>\n",
+       "      <td>NK pool</td>\n",
+       "      <td>$1,480.59</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>$5,017.46</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2025-08-01</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>100.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2026-04-22</td>\n",
+       "      <td>NK pool</td>\n",
+       "      <td>7.15%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>26.28%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (including USDC)</th>\n",
+       "      <td>2025-08-16</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>51.04%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (including USDC)</th>\n",
+       "      <td>2026-02-21</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>1.94%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (including USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>20.81%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>---</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-12-27</td>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td><span style=\"color: green\">+$2,334.17</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976644412\">lighte...4412</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2025-10-23</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-$6,987.54</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-12-27</td>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td><span style=\"color: green\">+59.78%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976644412\">lighte...4412</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2025-10-23</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-31.54%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td><span style=\"color: green\">+$2,334.17</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976644412\">lighte...4412</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-$6,987.54</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td><span style=\"color: green\">+59.78%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976644412\">lighte...4412</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-31.54%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inverse-vol (C-ivw / ret30 gate) \u2014 weight allocation statistics\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>At</th>\n",
+       "      <th>Pair</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Address</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2025-10-29</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td>$14,815.28</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2026-06-21</td>\n",
+       "      <td>[ Systemic Strategies ] Peter Schiff's vault</td>\n",
+       "      <td>$121.40</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>$5,956.66</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2025-08-01</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>100.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2026-06-21</td>\n",
+       "      <td>[ Systemic Strategies ] Peter Schiff's vault</td>\n",
+       "      <td>0.50%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>28.54%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (including USDC)</th>\n",
+       "      <td>2025-08-16</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>51.04%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (including USDC)</th>\n",
+       "      <td>2026-06-21</td>\n",
+       "      <td>[ Systemic Strategies ] Peter Schiff's vault</td>\n",
+       "      <td>0.49%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (including USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>22.20%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>---</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-12-08</td>\n",
+       "      <td>BTC vs ALTS and NEWS/DIPS</td>\n",
+       "      <td><span style=\"color: green\">+$2,229.03</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976656586\">lighte...6586</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2026-03-17</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-$1,856.41</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-12-16</td>\n",
+       "      <td>K Pool</td>\n",
+       "      <td><span style=\"color: green\">+19.07%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976680237\">lighte...0237</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2026-03-17</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-27.03%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>BTC vs ALTS and NEWS/DIPS</td>\n",
+       "      <td><span style=\"color: green\">+$2,216.19</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976656586\">lighte...6586</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-$3,604.00</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>K Pool</td>\n",
+       "      <td><span style=\"color: green\">+2.78%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976680237\">lighte...0237</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-10.50%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for name, renderer in renderers.items():\n",
+    "    print(name, '\u2014 portfolio equity curve broken down by vault')\n",
+    "    fig = renderer.render(equity_curve_by_asset)\n",
+    "    display(fig)\n",
+    "\n",
+    "from tradeexecutor.utils.notebook import display_dataframe_with_html\n",
+    "for name, renderer in renderers.items():\n",
+    "    print(name, '\u2014 weight allocation statistics')\n",
+    "    display_dataframe_with_html(renderer.render(weight_allocation_statistics))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "md_monthly",
+   "metadata": {},
+   "source": [
+    "# Monthly returns\n",
+    "\n",
+    "Monthly return grid for each strategy \u2014 is the path broad-based or a few bursts?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "code_monthly",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-23T19:25:19.471004Z",
+     "iopub.status.busy": "2026-07-23T19:25:19.470874Z",
+     "iopub.status.idle": "2026-07-23T19:25:19.919925Z",
+     "shell.execute_reply": "2026-07-23T19:25:19.919468Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Equal (C-eq / no gate)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inverse-vol (C-ivw / ret30 gate)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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oxZc/dxnwvXverGzZyK72Dkrf3vk1PdnnJuXLF7fK4dGH2+juB57VD3Nraev2Ay7YZ1N/3NuxiYoXzaeoqGi1uLaWrm/3vKZ8+rgr9d23/6gefbh1vOcCAAD+vqCG75x76fVmAsdFG9ybN2+e1qxZo06dOilLliw6fTpmbjPfFW09P9sKuUl9Htv3l19+cXP2ZcuWzf1sC3W88847bo4+z+Ic/mDsR9/p19/WuO8feqDVeQXf6tW7RK1a5texY6f0yYQfXHCvWrXS7mYlunarVLG4rrz6MXW6u5nuuPNFrfrr/YCfI2faxOVqd9dl52zbD9780ZXujvnkbWXL/rfbVqJ0fnezzL2F36/RyE/v0Q1XvKabO9TTU70m6Yu5PZUvf44UHhEZn2XbTJ0+WHNmLVN4WIRyZquuZ5+NKaErVDiv2t91jcvq++CBmZo4daCaXdXfLaYx9KlPVKFCMVWr4f8B/JTIniOzO+F+//OuLijX5ta6atdkeJzgnu8+N7S8Tzff2Mntkyt3VrW9/VK330MdPtTzI9qrX7dPVaVGcX3ywUIVLJLLBQQhN5fere2v1I3tGqhCkQddZmnuPDGLv1g5/skTZzTqox5uXr4776igS+s0c0EpK+W96daYQHSf7h/q8YHtNOypLxQVGaVlSzYoU+YQdb7/7PQTgcTmge3z2Hvue1sYw7Lt7KstspMrV0zbHjl6Qnn+bWcPm4tz2LAndH3Lgu5iXqWq92njxl0uu+/mm650+zw95CP17XOrW2Djzz83uM86C/ING3qPAk3fAeN18lRMFt7br3ZxbWGBuJs7vKI7brlCjzzcOt5j2lxfT9O/HqcNq7/X5fUrqffjY93iG6Zls9ru6+jx83TbzQ3d4hxTpv2qqpVL6NEnx+mjUT0v8G8IAADSEmW5F95FGdz7/fffNWnSJLVu3VqNGzeOnRfP2Em753vPzyahgFxCz2OBASvPtTn2LLDneazt88Ybb2jVqlWqXTtmEHo+oqKCtW//hV90Inee6ipfISYgFB5ZXnu83kNkVKj2HSyqTFmLxHnMzz//rj1796lNm4pu/7//OaoiRUrFeWz/p0apR48+WvbnKdWv30Dduz+hOXPXaM36nCpYMH0mdQ+NjMnSTE92vC2eP1SvvjJcoccTzjT43wvvat/eKH00frSyBBdR9PG473vMq6PU9f7uOra9rEqXLKdHegzRljXDtHdNaRW6JGauvvRy+NTFkz0RdjqnThwrpMP74q4kfOrUab3x+vsaMPAR9/MzQ0aoTp3L4+w34dMpanX9TTpzvIpOnQxSzx4DdeLY2/pjSbiKFU7flYmDIs+dmZjWyhUOU3DwO9q/vrxKlCyqQ1vWKXu2PAo62iDRfQ7u2x1vn/k/LFL1Kg1UKGsz7do6WuPGPadPi07VphURuvqys/ulh5PB6X+B5tlnXtdj/bope/Zs2rplu0JDMykorLZOHoyZB87y7sqWLaXVf2ZV7qxVdeSQTR8RorCj1RV9KuYzbu2aDQo7nVtli7fQulWTNWLkc1r59xotXPCbTh5M/wDqnuALn9Fmc+KVr1DPfZ8tW1bt2VdMNWpcoqnTNuuO22tp06atOnkyQpmy1NKefWdXJ65Zs4bWrd+tunUvcX3IsWNhOnGqtPbsK+Tu37t3v37/fYd69uyvD8cs0gMP9lSWzJn0+huj3Gukm8j0mS+0TLnLdObfi6Z7j1bUwYOHdVenwXri8e5q0fxq7TkS/zFTv5qlosUr6Lo292vXrr36delGlSrfTHuOxAT4Tp8+o48+W6bPPnlbw18fpY4d71GTa67Q7R26a8+RhOdYvSBO7JY/salodu/2r/fsb2hj2jmj4Fimjb0VLFgwThwlTbFabrq46IJ7ttiFrYrbtm1btWrVKl757YkTJ2IXwvD8bHLkyJGk5/EsllGoUMyA3sPzs624mxzBwVFucYoL7dabLSDnHVQ8+x5CgiNUKP9uFSkYU7LYo/c7en5YZzW4NLMaNXldU6bMUGjISa3fsEuLFgxXwX/fv00sni3bSV3TOJuOHYvWwz1/dasKnzxxUNWrnFRQ0Cmlh8MnYjLg0tPGtXuVJ19mZSu+QjGtGuON52bptk4NtH3LQY0b84Vu7nCphj03QEHhRVWjQai7z+zdfVRrNixV72E1FRW1Rnv2b1O37t207p/dKlXrakXkOKD0lDdnzLxVF4PMWY8rR659yltos/v5rTe+VqOraqjepRW1cdPfuvXWDsqbL6f++Wun5i18LnY/y+yZMfMrffXtEIWGblaJUjn14IMP6q8Vm9SzT8PY/dLL7pPp+/oW9ur79HW647YuatCogn5dsF59n26j6Ny/6ctPflWxknnVqEmVuPvM36K+Q1q6fYxdIBk9dpRGfnyfonP9pksuLaR77rlPm9bt0zufdondL71kz5z+C6hkyXFYbVrdrnr1K2jhj//oqWdvU65C6zRr+jK3Eu7NtzXUkBdvUY/u/dT4mmpa+ts2devVQnmKxMwva956e4SGvniXsudfrSuvKaUeD/fWwQPHNOT5O9229FYwU/oEqp947Cqvn3Zp8KC2uumWIfrl5++0YOHfGvL0nSpaeLcWLPxLK1duUbeHbtBLz3fQbe1f1MIFX2nVqm1qe2N91appvXjMis/PPPOWnn3mVhUptEstmlVQ/ycHuTlV7+9yvduWbk4lb0ySUo88WN3rp03q0+d1BQed0sIF37qb6dujjSIiozT1m980qN8tqlYhTHfc00NNr6qshYtW66knblalUnssDOz2f3nM1+r9UGOVKLBZ1zctop6Pva7x48eqeZNKKpLn7HF/oQXligkW+wsL7BUtyurktLH/41imjTMCjuNEREtR6VSWGxERoenTp2vJkiUuVmTTsLVr1y7BtRm87dmzR99++61bk+HUqVNuIVZbqLVBg7NJCza1m8WYfNn0b48//rjS20UV3LN59SzTrmPHjrGZdh6eufB27twZJ7i3a1fMoLtMmTLn9TwHDhyIMzg6cuRIgnP6+bNhQ++OM49N7VrllClTqEqWLKgVS0dq0pTNKpD/iFo2rxdnviKbv+i5oZ3d91bm9MOcl/Tzon90fctLXeZjIMuVJ5sGvXxTvO0VqhRx8+pZqd3AF8+WNwafLq/ipc6mOBw+eEL9hrWJuS84WOO+flCL5q/XUy+1daWQOKtjp6ZxVrktX6GY8uaNCeJ/9mV/zZ65VKdPheny+u1UrPi+2P327jmi5166J7Z8fMKk/pr17RI9//I9KvHvSo+BrtODV6nhVRX19x/b1bXXtapeK+YCQYlS+ZU3f/Z4+zzQpZeqXXE2yHDo4En1fKKlWzHaPDeiveZ++5fKVSwc+1yBbugLd+qGm+tr4/rdeuTxG1W1eswcnUWK5tWZsJhFntrcdJlq1Cqt3xevU8e7uurq685mwlkA8M5OV6tU6Zhj9omn2qlWnTLKXzCXGl6Zvhm+F5uGDavpt0VvaeHPK9XnkVvUoEFMVmOB/Llj56Bt3LimZs/6XP+snKuu9+dW82ZnAzpWptuieT3Vrx/Trg8+0Fpl/p3787qW556CIVC0bllPTa+OWVTHu+zc5pOsUilm4ZJrGlfX5Inva+OaeW5Ovrq14y6AVrliMbW7sUFsme7Y97pr776juqkNbQwAQEZicbxIn+DehZpy7+OPP3bTstliqQUKFNCsWbP0+uuvq3///ipRIuHzlEOHDumVV15RhQoV1KtXL5c4tmzZMo0dO1b79+93VZ5m8+bNLils0KBBcR5/scRIgqJtVHsRmDFjhouwWoZNnTp14t1vb3Pw4MEuOPfAAw/Elki++uqrrry2d+/eSXoei+TaH6NUqVLq0aNH7B9i3LhxWrFihV566aVkzbkXHX1SCv9R/sTKcNMj2zC51lwEmXvnK/T4lYrI+Yv8RcmLKHMvqawcN72z8fwpcy85rBw3vbPxzkeeiyBz73xZme3FkI3nD5l7yWXltemahedHmXvJZeW16ZmFlxxBue6QPyFLhDbOKDiWaeOMgOM4YZF7d+rwY3E/X/MOn6iQwjEXBNPKjh073BoKVnXoHQt6/vnnXVnyQw89lODjbNHVadOmuWnabJ0Gj/Hjx7sMwNdee82VNFvsyZLBunbtqovRRZG5t3TpUn399deqUqWKW/DCSmq9Va5cWfnz53eLYowYMULvvvuuqlat6qKp+/btU79+/c7reSyKO3LkSL399ttufr21a9dq+fLlLmjoT4tpAAAAAAAAXDSioxMoy037nLK//vrLVcdVr+49vYjNvVxTc+fOdVML2f2+WrZsqebNm8dbvNWy9GzuSivvtWnitm3b5p7rYnVRBPeOHTsWW8u8cuXKePdb+awF5Sw4ZyvcLlq0yDVsjRo1XIZerly5zvt5nnnmGbdirqVWWhTXnpc5TAAAAAAAAFJQlhtx4ctyd+/e7aZw803YsnhPWFiYm5rNd+0FExIS4m6+Vq9e7Up0Ld5kc/JZAtnGjRv17LPPuuey17rqqqvUrFmzi6I096II7jVp0sTdkqJIkSK6+eabU/w8lk7pqZ0GAAAAAABA2iyocfDgQQ0fPjzRh1n5bEqcPHnSTdnmK2vWmHnCbaGMpPrjjz9ccM8W47Bsv61bt7rtFui74447XJbf77//rilTprh5+Tp06KD0dlEE9wAAAAAAAODnUrksd86cOW76tcQ0bdpUt912m1un4VySml23ZcsWt5iGzdtnJbvmsssuU926deOU7lopr2Xw2YKu9r1lCKYngnsAAAAAAABIFVHhkfG22RRpycnOs8CZBfAS45lHL1u2bG6OPF+ebQll9SUU2HvzzTdVrVo1t3CG57nta0Lz9dl+8+bNc5l9BPcAAAAAAADg9yyBLt6ceymYdC+xwFpCU7gtXbpUkZGRcebQs+w6m4cvX75853y8LbRqC69all7Hjh2T9JoRERHuq83Nl97++90CAAAAAAAASWBlud63C6FGjRou2GZBOm///PO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+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from tradeexecutor.visual.equity_curve import visualise_returns_over_time\n",
+    "\n",
+    "for name, st in states.items():\n",
+    "    print(name)\n",
+    "    strategy_returns = calculate_returns(calculate_equity_curve(st))\n",
+    "    display(visualise_returns_over_time(strategy_returns))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.6"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {
+     "009fb08717d4465a8de9554245cebbe4": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "_model_module": "@jupyter-widgets/base",
+       "_model_module_version": "2.0.0",
+       "_model_name": "LayoutModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/base",
+       "_view_module_version": "2.0.0",
+       "_view_name": "LayoutView",
+       "align_content": null,
+       "align_items": null,
+       "align_self": null,
+       "border_bottom": null,
+       "border_left": null,
+       "border_right": null,
+       "border_top": null,
+       "bottom": null,
+       "display": null,
+       "flex": null,
+       "flex_flow": null,
+       "grid_area": null,
+       "grid_auto_columns": null,
+       "grid_auto_flow": null,
+       "grid_auto_rows": null,
+       "grid_column": null,
+       "grid_gap": null,
+       "grid_row": null,
+       "grid_template_areas": null,
+       "grid_template_columns": null,
+       "grid_template_rows": null,
+       "height": null,
+       "justify_content": null,
+       "justify_items": null,
+       "left": null,
+       "margin": null,
+       "max_height": null,
+       "max_width": null,
+       "min_height": null,
+       "min_width": null,
+       "object_fit": null,
+       "object_position": null,
+       "order": null,
+       "overflow": null,
+       "padding": null,
+       "right": null,
+       "top": null,
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+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "HTMLModel",
+      "state": {
+       "_dom_classes": [],
+       "_model_module": "@jupyter-widgets/controls",
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diff --git a/scratchpad/lighter-vault-of-vaults/05-backtest-llp-core-healthy-satellites.ipynb b/scratchpad/lighter-vault-of-vaults/05-backtest-llp-core-healthy-satellites.ipynb
new file mode 100644
index 0000000..f5c3a17
--- /dev/null
+++ b/scratchpad/lighter-vault-of-vaults/05-backtest-llp-core-healthy-satellites.ipynb
@@ -0,0 +1,9892 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "59a77735",
+   "metadata": {},
+   "source": "# Lighter vault of vaults \u2014 LLP core + healthy satellites\n\nBased on: `scratchpad/lighter-vault-of-vaults/04-backtest-equal-vs-inverse-vol-baselines.ipynb`, redesigned from the point-in-time predictability research discussed on PR #44.\n\n## Purpose\n\nThe pool-level audit showed the Lighter universe is really **one institutional pool (LLP, ~92% of live TVL) plus a handful of live trader pools and a long tail of zombies**, and the point-in-time tests showed that (a) a hygiene rule (live TVL, fresh marks, no TVL collapse) predicts an ~8pp/month forward-return spread, (b) pool *success* is not predictable (rank IC \u2248 0), but (c) pool *damage* repeats (26% repeat-disaster rate in deep drawdown). This notebook implements the design those facts imply and benchmarks it against the ex-ante-knowable passive alternative:\n\n| Tag | Construction |\n|---|---|\n| **Core + satellites** | LLP anchor at 60% of target allocation; satellites = every pool passing the point-in-time hygiene rule and the 30-day-return damage gate, inverse-vol weighted within the 40% satellite budget, max 10% each |\n| **100% LLP** | The passive benchmark the strategy must beat |\n\nBoth: 27-pool Lighter USDC universe (leveraged-beta pools excluded by name rule), 25,000 USD, **weekly rebalance** (stale daily marks make daily churn fictitious), 2025-08-01 \u2192 2026-07-10.\n\n## Design rationale (from the PIT tests)\n\n- **Hygiene rule, not performance selection**: satellites qualify by TVL \u2265 100k USD, < 50% stale marks over trailing 60d, and TVL \u2265 25% of its running peak \u2014 all computable point-in-time with no look-ahead. Trailing-return selection is deliberately absent (measured IC \u2248 0; disaster rates are U-shaped in past returns).\n- **Damage gate kept**: trailing-30d-return \u2264 0 exits a satellite \u2014 pools in drawdown have a 26% chance of another \u221215% month versus 9% near their high-water mark.\n- **LLP exempt from the hygiene/gate machinery**: it is the ex-ante-identifiable anchor ($518M TVL by Nov 2025). The core absorbs any unused satellite budget \u2014 the passive alternative is 100% LLP, so idle budget belongs in the anchor, not in cash, and satellite caps are enforced in raw-signal construction so weight normalisation can never scale a satellite past its cap.\n- **First-hit budgeting**: neither flows nor returns front-run a pool's first \u221220% (TVL halved 0\u2013114 days *after* NAV damage in all six blow-ups), so satellites are capped at 10% each \u2014 one unavoidable first hit costs the portfolio \u2248 1\u20132%.\n\n## Key new insights and what we learnt from this experiment\n\n- **The verdict is decisive and honest: 100% LLP dominates.** The passive benchmark finishes at 29,308 USD (+18% CAGR, Sharpe 2.33, -4.8% max drawdown, 7% volatility). The core/satellite construction finishes at 28,544 USD (+15% CAGR, Sharpe 1.16, -12.5% drawdown, 13% volatility). The satellite sleeve subtracted ~3pp of return while doubling volatility and more than doubling the drawdown \u2014 it did not pay for its risk on this window.\n- **The approximated edge did not survive faithful execution \u2014 and not because of costs.** Lighter pools trade at NAV with zero deposit/withdrawal fees (all 43 pools: `deposit_fee=0`, `withdraw_fee=0`, operator performance fee internalised in the share price), and the backtest charges vault trades no swap fee and no slippage (`slippage_tolerance_pct` is a live-execution guard only; vault pairs carry no fee, so fills happen exactly at NAV). The gap versus the +10.5% frictionless sleeve reconstruction therefore comes from modelling differences, not friction: the reconstruction's forward-filled week-boundary marks flatter it, its approximated qualification sets differ from the real indicator values at cycle start, the strategy targets 98% deployment, and the Guinea Pool first-hit (~-2.3%) is real. The sleeve's measured edge is simply too small and tail-driven to survive honest execution timing.\n- **A genuine framework hazard was found and fixed.** The first run crashed to -30.9% drawdown with a -21% single day because `normalise_weights()` redistributed the capped core's excess into the sole qualifying satellite: raw signals (LLP 0.60, one satellite 0.10) sum to 0.70, renormalisation pushed LLP to its 70% cap and handed the remaining 30% to Guinea Pool \u2014 3x its intended cap \u2014 days before its collapse. The fix builds satellite raw weights first (hard-capped) and lets the core absorb the unused budget so raw signals sum to exactly 1.0. Lesson for thin universes: never rely on weight renormalisation when signals do not sum to one and concentration caps can bind.\n- **The hygiene rule behaved correctly.** No satellite qualified before late October (sparse early TVL data, strict floors), so capital sat in the anchor rather than in weak pools; satellites entered only as pools genuinely crossed the liveness thresholds. The rule's failure to add net value is an indictment of the satellite opportunity set and costs, not of the rule.\n\n## Summary of results\n\nUniverse: 27 Lighter USDC pools (leveraged-beta excluded), weekly rebalance, 25,000 USD, 2025-08-01 \u2192 2026-07-09.\n\n| Metric | LLP core + healthy satellites | 100% LLP benchmark | BTC hold | ETH hold |\n| --- | ---: | ---: | ---: | ---: |\n| Final equity | 28,544 USD | **29,308 USD** | \u2014 | \u2014 |\n| CAGR | 15% | **18%** | -46% | -51% |\n| Sharpe | 1.16 | **2.33** | -1.18 | -0.72 |\n| Sortino | 1.58 | **3.43** | -1.57 | -1.02 |\n| Calmar | 1.22 | **3.81** | -0.86 | -0.75 |\n| Max drawdown | -12.5% | **-4.8%** | -53% | -68% |\n| Volatility (ann.) | 13% | **7%** | 44% | 67% |\n\nAcross the whole Lighter research chain (NB01\u2013NB05), **nothing tested beats holding the protocol's own liquidity pool**. The vault-of-vaults machinery becomes valuable here only when the satellite universe matures \u2014 more live pools, real capacity, and cheaper effective churn.\n\n## Robustness of results\n\n- **The winning strategy is a single pool \u2014 that is the risk.** 100% LLP concentrates everything into one protocol-operated pool on one venue, labelled `Severe` risk in the metrics feed: smart-contract, operator, and venue risk are unhedged, and the smooth daily NAV of an MM/insurance pool may embed smoothed marks, flattering the Sharpe. The -5% worst day (February 2026 crash) shows the left tail exists. Skew -3.2 and kurtosis 94 mean the 2.33 Sharpe rides on many small up-days punctuated by rare sharp hits.\n- **The satellite conclusion is window-conditional.** Satellites were tested across a -44% BTC tape in which most Lighter trader pools lost money; in a friendlier regime the sleeve's sign could flip. The frictionless +10.5% sleeve contribution shows the rules select acceptably \u2014 the failure margin is execution-timing reality and one unavoidable first-hit, not trading costs (vault trades are fee-free at NAV in both the venue and the backtest), and it shrinks if the venue's pool base grows.\n- **The first-run crash is itself a robustness result**: concentration-cap redistribution under thin qualification is a live failure mode for any capped core/satellite allocator in this framework; the fix (raw signals summing to one) is general and should be carried into any future core/satellite strategy.\n- Inherited caveats: static-membership survivorship in the outer address list, all pools `Severe`-labelled, single ~11-month window, stale-mark data quality on the satellite tail.\n"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e427f61b",
+   "metadata": {},
+   "source": [
+    "## Notebook setup\n",
+    "\n",
+    "- Shared imports, chart output settings, and notebook logging for the clean-up variant."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "22a19f82",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:15.904559Z",
+     "iopub.status.busy": "2026-07-24T10:38:15.904062Z",
+     "iopub.status.idle": "2026-07-24T10:38:18.456630Z",
+     "shell.execute_reply": "2026-07-24T10:38:18.455791Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Started Trading Strategy in Jupyter notebook environment, configuration is stored in /Users/moo/.tradingstrategy\n"
+     ]
+    },
+    {
+     "data": {
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mte={staticPlot:{valType:\"boolean\",dflt:!1},typesetMath:{valType:\"boolean\",dflt:!0},plotlyServerURL:{valType:\"string\",dflt:\"\"},editable:{valType:\"boolean\",dflt:!1},edits:{annotationPosition:{valType:\"boolean\",dflt:!1},annotationTail:{valType:\"boolean\",dflt:!1},annotationText:{valType:\"boolean\",dflt:!1},axisTitleText:{valType:\"boolean\",dflt:!1},colorbarPosition:{valType:\"boolean\",dflt:!1},colorbarTitleText:{valType:\"boolean\",dflt:!1},legendPosition:{valType:\"boolean\",dflt:!1},legendText:{valType:\"boolean\",dflt:!1},shapePosition:{valType:\"boolean\",dflt:!1},titleText:{valType:\"boolean\",dflt:!1}},editSelection:{valType:\"boolean\",dflt:!0},autosizable:{valType:\"boolean\",dflt:!1},responsive:{valType:\"boolean\",dflt:!1},fillFrame:{valType:\"boolean\",dflt:!1},frameMargins:{valType:\"number\",dflt:0,min:0,max:.5},scrollZoom:{valType:\"flaglist\",flags:[\"cartesian\",\"gl3d\",\"geo\",\"mapbox\",\"map\"],extras:[!0,!1],dflt:\"gl3d+geo+map\"},doubleClick:{valType:\"enumerated\",values:[!1,\"reset\",\"autosize\",\"reset+autosize\"],dflt:\"reset+autosize\"},doubleClickDelay:{valType:\"number\",dflt:300,min:0},showAxisDragHandles:{valType:\"boolean\",dflt:!0},showAxisRangeEntryBoxes:{valType:\"boolean\",dflt:!0},showTips:{valType:\"boolean\",dflt:!0},displayNotifier:{valType:\"boolean\",dflt:!0},showLink:{valType:\"boolean\",dflt:!1},linkText:{valType:\"string\",dflt:\"Edit 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c=u.append(\"p\"),f=l.split(/<br\\s*\\/?>/g),h=0;h<f.length;h++)h&&c.append(\"br\"),c.append(\"span\").text(f[h]);t===\"stick\"?u.transition().duration(350).style(\"opacity\",1):u.transition().duration(700).style(\"opacity\",1).transition().delay(n).call(o)})}});var J1=ye((pir,wte)=>{\"use strict\";var b3=xb().dfltConfig,Vq=Uq(),Gq=wte.exports={};Gq.log=function(){var e;if(b3.logging>1){var t=[\"LOG:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.trace.apply(console,t)}if(b3.notifyOnLogging>1){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"long\")}};Gq.warn=function(){var e;if(b3.logging>0){var t=[\"WARN:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.trace.apply(console,t)}if(b3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"stick\")}};Gq.error=function(){var e;if(b3.logging>0){var t=[\"ERROR:\"];for(e=0;e<arguments.length;e++)t.push(arguments[e]);console.error.apply(console,t)}if(b3.notifyOnLogging>0){var r=[];for(e=0;e<arguments.length;e++)r.push(arguments[e]);Vq(r.join(\"<br>\"),\"stick\")}}});var I6=ye((gir,Tte)=>{\"use strict\";Tte.exports=function(){}});var Hq=ye((mir,Ate)=>{\"use strict\";Ate.exports=function(t,r){if(r instanceof RegExp){for(var n=r.toString(),i=0;i<t.length;i++)if(t[i]instanceof RegExp&&t[i].toString()===n)return t;t.push(r)}else(r||r===0)&&t.indexOf(r)===-1&&t.push(r);return t}});var Mte=ye((yir,Ste)=>{Ste.exports=vrt;function vrt(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var kte=ye((_ir,Ete)=>{Ete.exports=prt;function prt(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}});var Lte=ye((xir,Cte)=>{Cte.exports=grt;function grt(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var jq=ye((bir,Pte)=>{Pte.exports=mrt;function mrt(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}});var Rte=ye((wir,Ite)=>{Ite.exports=yrt;function yrt(e,t){if(e===t){var r=t[1],n=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=r,e[6]=t[9],e[7]=t[13],e[8]=n,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else 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r=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],u=t[7],c=t[8],f=t[9],h=t[10],d=t[11],v=t[12],m=t[13],b=t[14],p=t[15];return e[0]=s*(h*p-d*b)-f*(l*p-u*b)+m*(l*d-u*h),e[1]=-(n*(h*p-d*b)-f*(i*p-a*b)+m*(i*d-a*h)),e[2]=n*(l*p-u*b)-s*(i*p-a*b)+m*(i*u-a*l),e[3]=-(n*(l*d-u*h)-s*(i*d-a*h)+f*(i*u-a*l)),e[4]=-(o*(h*p-d*b)-c*(l*p-u*b)+v*(l*d-u*h)),e[5]=r*(h*p-d*b)-c*(i*p-a*b)+v*(i*d-a*h),e[6]=-(r*(l*p-u*b)-o*(i*p-a*b)+v*(i*u-a*l)),e[7]=r*(l*d-u*h)-o*(i*d-a*h)+c*(i*u-a*l),e[8]=o*(f*p-d*m)-c*(s*p-u*m)+v*(s*d-u*f),e[9]=-(r*(f*p-d*m)-c*(n*p-a*m)+v*(n*d-a*f)),e[10]=r*(s*p-u*m)-o*(n*p-a*m)+v*(n*u-a*s),e[11]=-(r*(s*d-u*f)-o*(n*d-a*f)+c*(n*u-a*s)),e[12]=-(o*(f*b-h*m)-c*(s*b-l*m)+v*(s*h-l*f)),e[13]=r*(f*b-h*m)-c*(n*b-i*m)+v*(n*h-i*f),e[14]=-(r*(s*b-l*m)-o*(n*b-i*m)+v*(n*l-i*s)),e[15]=r*(s*h-l*f)-o*(n*h-i*f)+c*(n*l-i*s),e}});var Bte=ye((Sir,Ote)=>{Ote.exports=brt;function brt(e){var t=e[0],r=e[1],n=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11],d=e[12],v=e[13],m=e[14],b=e[15],p=t*o-r*a,k=t*s-n*a,M=t*l-i*a,T=r*s-n*o,L=r*l-i*o,x=n*l-i*s,C=u*v-c*d,S=u*m-f*d,g=u*b-h*d,P=c*m-f*v,E=c*b-h*v,z=f*b-h*m;return p*z-k*E+M*P+T*g-L*S+x*C}});var Ute=ye((Mir,Nte)=>{Nte.exports=wrt;function wrt(e,t,r){var n=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],f=t[8],h=t[9],d=t[10],v=t[11],m=t[12],b=t[13],p=t[14],k=t[15],M=r[0],T=r[1],L=r[2],x=r[3];return e[0]=M*n+T*s+L*f+x*m,e[1]=M*i+T*l+L*h+x*b,e[2]=M*a+T*u+L*d+x*p,e[3]=M*o+T*c+L*v+x*k,M=r[4],T=r[5],L=r[6],x=r[7],e[4]=M*n+T*s+L*f+x*m,e[5]=M*i+T*l+L*h+x*b,e[6]=M*a+T*u+L*d+x*p,e[7]=M*o+T*c+L*v+x*k,M=r[8],T=r[9],L=r[10],x=r[11],e[8]=M*n+T*s+L*f+x*m,e[9]=M*i+T*l+L*h+x*b,e[10]=M*a+T*u+L*d+x*p,e[11]=M*o+T*c+L*v+x*k,M=r[12],T=r[13],L=r[14],x=r[15],e[12]=M*n+T*s+L*f+x*m,e[13]=M*i+T*l+L*h+x*b,e[14]=M*a+T*u+L*d+x*p,e[15]=M*o+T*c+L*v+x*k,e}});var Gte=ye((Eir,Vte)=>{Vte.exports=Trt;function Trt(e,t,r){var n=r[0],i=r[1],a=r[2],o,s,l,u,c,f,h,d,v,m,b,p;return t===e?(e[12]=t[0]*n+t[4]*i+t[8]*a+t[12],e[13]=t[1]*n+t[5]*i+t[9]*a+t[13],e[14]=t[2]*n+t[6]*i+t[10]*a+t[14],e[15]=t[3]*n+t[7]*i+t[11]*a+t[15]):(o=t[0],s=t[1],l=t[2],u=t[3],c=t[4],f=t[5],h=t[6],d=t[7],v=t[8],m=t[9],b=t[10],p=t[11],e[0]=o,e[1]=s,e[2]=l,e[3]=u,e[4]=c,e[5]=f,e[6]=h,e[7]=d,e[8]=v,e[9]=m,e[10]=b,e[11]=p,e[12]=o*n+c*i+v*a+t[12],e[13]=s*n+f*i+m*a+t[13],e[14]=l*n+h*i+b*a+t[14],e[15]=u*n+d*i+p*a+t[15]),e}});var jte=ye((kir,Hte)=>{Hte.exports=Art;function Art(e,t,r){var n=r[0],i=r[1],a=r[2];return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}});var Xte=ye((Cir,Wte)=>{Wte.exports=Srt;function Srt(e,t,r,n){var i=n[0],a=n[1],o=n[2],s=Math.sqrt(i*i+a*a+o*o),l,u,c,f,h,d,v,m,b,p,k,M,T,L,x,C,S,g,P,E,z,q,V,G;return 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n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[8],c=t[9],f=t[10],h=t[11];return t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i-u*n,e[1]=o*i-c*n,e[2]=s*i-f*n,e[3]=l*i-h*n,e[8]=a*n+u*i,e[9]=o*n+c*i,e[10]=s*n+f*i,e[11]=l*n+h*i,e}});var Qte=ye((Iir,$te)=>{$te.exports=krt;function krt(e,t,r){var n=Math.sin(r),i=Math.cos(r),a=t[0],o=t[1],s=t[2],l=t[3],u=t[4],c=t[5],f=t[6],h=t[7];return t!==e&&(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*i+u*n,e[1]=o*i+c*n,e[2]=s*i+f*n,e[3]=l*i+h*n,e[4]=u*i-a*n,e[5]=c*i-o*n,e[6]=f*i-s*n,e[7]=h*i-l*n,e}});var tre=ye((Rir,ere)=>{ere.exports=Crt;function Crt(e,t,r){var n,i,a,o=r[0],s=r[1],l=r[2],u=Math.sqrt(o*o+s*s+l*l);return 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t=Roe[e],r=t.n;Ta.symbolList.push(r,String(r),e,r+100,String(r+100),e+\"-open\"),Ta.symbolNames[r]=e,Ta.symbolFuncs[r]=t.f,Ta.symbolBackOffs[r]=t.backoff||0,t.needLine&&(Ta.symbolNeedLines[r]=!0),t.noDot?Ta.symbolNoDot[r]=!0:Ta.symbolList.push(r+200,String(r+200),e+\"-dot\",r+300,String(r+300),e+\"-open-dot\"),t.noFill&&(Ta.symbolNoFill[r]=!0)});var vst=Ta.symbolNames.length,pst=\"M0,0.5L0.5,0L0,-0.5L-0.5,0Z\";Ta.symbolNumber=function(e){if(Fb(e))e=+e;else if(typeof e==\"string\"){var t=0;e.indexOf(\"-open\")>0&&(t=100,e=e.replace(\"-open\",\"\")),e.indexOf(\"-dot\")>0&&(t+=200,e=e.replace(\"-dot\",\"\")),e=Ta.symbolNames.indexOf(e),e>=0&&(e+=t)}return e%100>=vst||e>=400?0:Math.floor(Math.max(e,0))};function Hoe(e,t,r,n){var i=e%100;return Ta.symbolFuncs[i](t,r,n)+(e>=200?pst:\"\")}var 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E=[i||\"noSh\",u||\"noBg\",c||\"noFg\",a,o].join(\";\"),z=d._defs.select(\".patterns\").selectAll(\"#\"+v).data([E],Du.identity);z.exit().remove(),z.enter().append(\"pattern\").each(function(){var q=dd.select(this);if(q.attr({id:v,width:m+\"px\",height:b+\"px\",patternUnits:\"userSpaceOnUse\",patternTransform:h?\"scale(0.8)\":\"\"}),u){var V=$O(u),G=Jd.tinyRGB(V),Z=V.getAlpha(),j=q.selectAll(\"rect\").data([0]);j.exit().remove(),j.enter().append(\"rect\").attr({width:m+\"px\",height:b+\"px\",fill:G,\"fill-opacity\":Z})}var N=q.selectAll(L).data([0]);N.exit().remove(),N.enter().append(L).attr(x)}),e.style(\"fill\",QO(v,r)).style(\"fill-opacity\",null),e.classed(\"pattern_filled\",!0)};Ta.initGradients=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"gradients\");r.selectAll(\"linearGradient,radialGradient\").remove(),dd.select(e).selectAll(\".gradient_filled\").classed(\"gradient_filled\",!1)};Ta.initPatterns=function(e){var t=e._fullLayout,r=Du.ensureSingle(t._defs,\"g\",\"patterns\");r.selectAll(\"pattern\").remove(),dd.select(e).selectAll(\".pattern_filled\").classed(\"pattern_filled\",!1)};Ta.getPatternAttr=function(e,t,r){return e&&Du.isArrayOrTypedArray(e)?t<e.length?e[t]:r:e};Ta.pointStyle=function(e,t,r,n){if(e.size()){var i=Ta.makePointStyleFns(t);e.each(function(a){Ta.singlePointStyle(a,dd.select(this),t,i,r,n)})}};Ta.singlePointStyle=function(e,t,r,n,i,a){var o=r.marker,s=o.line;if(a&&a.i>=0&&e.i===void 0&&(e.i=a.i),t.style(\"opacity\",n.selectedOpacityFn?n.selectedOpacityFn(e):e.mo===void 0?o.opacity:e.mo),n.ms2mrc){var l;e.ms===\"various\"||o.size===\"various\"?l=3:l=n.ms2mrc(e.ms),e.mrc=l,n.selectedSizeFn&&(l=e.mrc=n.selectedSizeFn(e));var u=Ta.symbolNumber(e.mx||o.symbol)||0;e.om=u%200>=100;var c=tB(e,r),f=eB(e,r);t.attr(\"d\",Hoe(u,l,c,f))}var h=!1,d,v,m;if(e.so)m=s.outlierwidth,v=s.outliercolor,d=o.outliercolor;else{var b=(s||{}).width;m=(e.mlw+1||b+1||(e.trace?(e.trace.marker.line||{}).width:0)+1)-1||0,\"mlc\"in e?v=e.mlcc=n.lineScale(e.mlc):Du.isArrayOrTypedArray(s.color)?v=Jd.defaultLine:v=s.color,Du.isArrayOrTypedArray(o.color)&&(d=Jd.defaultLine,h=!0),\"mc\"in e?d=e.mcc=n.markerScale(e.mc):d=o.color||o.colors||\"rgba(0,0,0,0)\",n.selectedColorFn&&(d=n.selectedColorFn(e))}let p=e.mld||(s||{}).dash;if(p&&Ta.dashLine(t,p,m),e.om)t.call(Jd.stroke,d).style({\"stroke-width\":(m||1)+\"px\",fill:\"none\"});else{t.style(\"stroke-width\",(e.isBlank?0:m)+\"px\");var k=o.gradient,M=e.mgt;M?h=!0:M=k&&k.type,Du.isArrayOrTypedArray(M)&&(M=M[0],joe[M]||(M=0));var T=o.pattern,L=Ta.getPatternAttr,x=T&&(L(T.shape,e.i,\"\")||L(T.path,e.i,\"\"));if(M&&M!==\"none\"){var C=e.mgc;C?h=!0:C=k.color;var S=r.uid;h&&(S+=\"-\"+e.i),Ta.gradient(t,i,S,M,[[0,C],[1,d]],\"fill\")}else if(x){var g=!1,P=T.fgcolor;!P&&a&&a.color&&(P=a.color,g=!0);var E=L(P,e.i,a&&a.color||null),z=L(T.bgcolor,e.i,null),q=T.fgopacity,V=L(T.size,e.i,8),G=L(T.solidity,e.i,.3);g=g||e.mcc||Du.isArrayOrTypedArray(T.shape)||Du.isArrayOrTypedArray(T.path)||Du.isArrayOrTypedArray(T.bgcolor)||Du.isArrayOrTypedArray(T.fgcolor)||Du.isArrayOrTypedArray(T.size)||Du.isArrayOrTypedArray(T.solidity);var Z=r.uid;g&&(Z+=\"-\"+e.i),Ta.pattern(t,\"point\",i,Z,x,V,G,e.mcc,T.fillmode,z,E,q)}else Du.isArrayOrTypedArray(d)?Jd.fill(t,d[e.i]):Jd.fill(t,d);m&&Jd.stroke(t,v)}};Ta.makePointStyleFns=function(e){var t={},r=e.marker;return t.markerScale=Ta.tryColorscale(r,\"\"),t.lineScale=Ta.tryColorscale(r,\"line\"),mL.traceIs(e,\"symbols\")&&(t.ms2mrc=lst.isBubble(e)?ust(e):function(){return(r.size||6)/2}),e.selectedpoints&&Du.extendFlat(t,Ta.makeSelectedPointStyleFns(e)),t};Ta.makeSelectedPointStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.marker||{},a=r.marker||{},o=n.marker||{},s=i.opacity,l=a.opacity,u=o.opacity,c=l!==void 0,f=u!==void 0;(Du.isArrayOrTypedArray(s)||c||f)&&(t.selectedOpacityFn=function(T){var L=T.mo===void 0?i.opacity:T.mo;return T.selected?c?l:L:f?u:Voe*L});var h=i.color,d=a.color,v=o.color;(d||v)&&(t.selectedColorFn=function(T){var L=T.mcc||h;return T.selected?d||L:v||L});var m=i.size,b=a.size,p=o.size,k=b!==void 0,M=p!==void 0;return mL.traceIs(e,\"symbols\")&&(k||M)&&(t.selectedSizeFn=function(T){var L=T.mrc||m/2;return T.selected?k?b/2:L:M?p/2:L}),t};Ta.makeSelectedTextStyleFns=function(e){var t={},r=e.selected||{},n=e.unselected||{},i=e.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return t.selectedTextColorFn=function(c){var f=c.tc||s;return c.selected?l||f:u||(l?f:Jd.addOpacity(f,Voe))},t};Ta.selectedPointStyle=function(e,t){if(!(!e.size()||!t.selectedpoints)){var r=Ta.makeSelectedPointStyleFns(t),n=t.marker||{},i=[];r.selectedOpacityFn&&i.push(function(a,o){a.style(\"opacity\",r.selectedOpacityFn(o))}),r.selectedColorFn&&i.push(function(a,o){Jd.fill(a,r.selectedColorFn(o))}),r.selectedSizeFn&&i.push(function(a,o){var s=o.mx||n.symbol||0,l=r.selectedSizeFn(o);a.attr(\"d\",Hoe(Ta.symbolNumber(s),l,tB(o,t),eB(o,t))),o.mrc2=l}),i.length&&e.each(function(a){for(var o=dd.select(this),s=0;s<i.length;s++)i[s](o,a)})}};Ta.tryColorscale=function(e,t){var r=t?Du.nestedProperty(e,t).get():e;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&Du.isArrayOrTypedArray(n))return nst.makeColorScaleFuncFromTrace(r)}return Du.identity};var ZO={start:1,end:-1,middle:0,bottom:1,top:-1};function Xoe(e,t,r,n,i){var a=dd.select(e.node().parentNode),o=t.indexOf(\"top\")!==-1?\"top\":t.indexOf(\"bottom\")!==-1?\"bottom\":\"middle\",s=t.indexOf(\"left\")!==-1?\"end\":t.indexOf(\"right\")!==-1?\"start\":\"middle\",l=n?n/.8+1:0,u=(yL.lineCount(e)-1)*sst+1,c=ZO[s]*l,f=r*.75+ZO[o]*l+(ZO[o]-1)*u*r/2;e.attr(\"text-anchor\",s),i||a.attr(\"transform\",cM(c,f))}function Zoe(e,t){var r=e.ts||t.textfont.size;return Fb(r)&&r>0?r:0}Ta.textPointStyle=function(e,t,r){if(e.size()){var n;if(t.selectedpoints){var i=Ta.makeSelectedTextStyleFns(t);n=i.selectedTextColorFn}var a=t.texttemplate,o=r._fullLayout;e.each(function(s){var l=dd.select(this),u=a?Du.extractOption(s,t,\"txt\",\"texttemplate\"):Du.extractOption(s,t,\"tx\",\"text\");if(!u&&u!==0){l.remove();return}if(a){var c=t._module.formatLabels,f=c?c(s,t,o):{},h={};cst(h,t,s.i),u=Du.texttemplateString({data:[h,s,t._meta],fallback:t.texttemplatefallback,labels:f,locale:o._d3locale,template:u})}var 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L=t.minallowed,x=t.maxallowed;if(!(L===void 0&&x===void 0)){T||(T=\"range\");var C=yc.nestedProperty(t,T).get(),S=yc.simpleMap(C,t.r2l),g=S[1]<S[0];g&&S.reverse();var P=yc.simpleMap([L,x],t.r2l);if(L!==void 0&&S[0]<P[0]&&(C[g?1:0]=L,S[0]=P[0]),x!==void 0&&S[1]>P[1]&&(C[g?0:1]=x,S[1]=P[1]),S[0]>=S[1])if(L!==void 0){var E=P[0]+1;x!==void 0&&(E=Math.min(E,P[1])),C[g?0:1]=t.l2r(E)}else x!==void 0&&(C[g?1:0]=t.l2r(P[1]-1))}},t.cleanRange=function(T,L){t._cleanRange(T,L),t.limitRange(T)},t._cleanRange=function(T,L){L||(L={}),T||(T=\"range\");var x=yc.nestedProperty(t,T).get(),C,S;if(t.type===\"date\"?S=yc.dfltRange(t.calendar):i===\"y\"?S=EL.DFLTRANGEY:t._name===\"realaxis\"?S=[0,1]:S=L.dfltRange||EL.DFLTRANGEX,S=S.slice(),(t.rangemode===\"tozero\"||t.rangemode===\"nonnegative\")&&(S[0]=0),!x||x.length!==2){yc.nestedProperty(t,T).set(S);return}var 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0,t);if(e.tickmode===\"auto\"||!e.dtick){var n=e.nticks,i;n||(e.type===\"category\"||e.type===\"multicategory\"?(i=e.tickfont?Wo.bigFont(e.tickfont.size||12):15,n=e._length/i):(i=e._id.charAt(0)===\"y\"?40:80,n=Wo.constrain(e._length/i,4,9)+1),e._name===\"radialaxis\"&&(n*=2)),e.minor&&e.minor.tickmode!==\"array\"||e.tickmode===\"array\"&&(n*=100),e._roughDTick=Math.abs(r[1]-r[0])/n,$n.autoTicks(e,e._roughDTick),e._minDtick>0&&e.dtick<e._minDtick*2&&(e.dtick=e._minDtick,e.tick0=e.l2r(e._forceTick0))}e.ticklabelmode===\"period\"&&hlt(e),e.tick0||(e.tick0=e.type===\"date\"?\"2000-01-01\":0),e.type===\"date\"&&e.dtick<.1&&(e.dtick=.1),zse(e)};function dB(e){return+e.substring(1)}function hlt(e){var t;function r(){return!(zh(e.dtick)||e.dtick.charAt(0)!==\"M\")}var n=r(),i=$n.getTickFormat(e);if(i){var a=e._dtickInit!==e.dtick;/%[fLQsSMX]/.test(i)||(/%[HI]/.test(i)?(t=wm,a&&!n&&e.dtick<wm&&(e.dtick=wm)):/%p/.test(i)?(t=p_,a&&!n&&e.dtick<p_&&(e.dtick=p_)):/%[Aadejuwx]/.test(i)?(t=qv,a&&!n&&e.dtick<qv&&(e.dtick=qv)):/%[UVW]/.test(i)?(t=Zp,a&&!n&&e.dtick<Zp&&(e.dtick=Zp)):/%[Bbm]/.test(i)?(t=Y3,a&&(n?dB(e.dtick)<1:e.dtick<zL)&&(e.dtick=\"M1\")):/%[q]/.test(i)?(t=pB,a&&(n?dB(e.dtick)<3:e.dtick<FL)&&(e.dtick=\"M3\")):/%[Yy]/.test(i)&&(t=RL,a&&(n?dB(e.dtick)<12:e.dtick<DL)&&(e.dtick=\"M12\")))}n=r(),n&&e.tick0===e._dowTick0&&(e.tick0=e._rawTick0),e._definedDelta=t}function dlt(e,t,r){for(var n=0;n<e.length;n++){var i=e[n].value,a=n,o=n+1;n<e.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s=e[a].value,l=e[o].value,u=Math.abs(l-s),c=r||u,f=0;c>=DL?u>=DL&&u<=Qst?f=u:f=RL:r===pB&&c>=FL?u>=FL&&u<=elt?f=u:f=pB:c>=zL?u>=zL&&u<=tlt?f=u:f=Y3:r===Zp&&c>=Zp?f=Zp:c>=qv?f=qv:r===p_&&c>=p_?f=p_:r===wm&&c>=wm&&(f=wm);var h;f>=u&&(f=u,h=!0);var d=i+f;if(t.rangebreaks&&f>0){for(var v=84,m=0,b=0;b<v;b++){var p=(b+.5)/v;t.maskBreaks(i*(1-p)+p*d)!==BL&&m++}f*=m/v,f||(e[n].drop=!0),h&&u>Zp&&(f=u)}(f>0||n===0)&&(e[n].periodX=i+f/2)}}$n.calcTicks=function(t,r){for(var n=t.type,i=t.calendar,a=t.ticklabelstep,o=t.ticklabelmode===\"period\",s=t.range[0]>t.range[1],l=!t.ticklabelindex||Wo.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],u=Wo.simpleMap(t.range,t.r2l,void 0,void 0,r),c=u[1]<u[0],f=Math.min(u[0],u[1]),h=Math.max(u[0],u[1]),d=Math.max(1e3,t._length||0),v=[],m=[],b=[],p=[],k=[],M=t.minor&&(t.minor.ticks||t.minor.showgrid),T=M||l,L=1;L>=(T?0:1);L--){var x=!L;L?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):T&&(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var C=L?t:Wo.extendFlat({},t,T?t.minor:{minor:{}});if(x?$n.prepMinorTicks(C,t,r):$n.prepTicks(C,r),C.tickmode===\"array\"){L?(b=[],v=Mse(t,!x)):(p=[],m=Mse(t,!x));continue}if(C.tickmode===\"sync\"){b=[],v=vlt(t);continue}var S=wB(u),g=S[0],P=S[1],E=zh(C.dtick),z=n===\"log\"&&!(E||C.dtick.charAt(0)===\"L\"),q=$n.tickFirst(C,r);if(L){if(t._tmin=q,q<g!==c)break;(n===\"category\"||n===\"multicategory\")&&(P=c?Math.max(-.5,P):Math.min(t._categories.length-.5,P))}var V=null,G=q,Z;if(L){var j;E?j=t.dtick:n===\"date\"?typeof t.dtick==\"string\"&&t.dtick.charAt(0)===\"M\"&&(j=Y3*t.dtick.substring(1)):j=t._roughDTick,Z=Math.round((t.r2l(G)-t.r2l(t.tick0))/j)-1}var N=C.dtick;for(C.rangebreaks&&C._tick0Init!==C.tick0&&(G=vB(G,t),c||(G=$n.tickIncrement(G,N,!c,i))),(L||l)&&o&&(G=$n.tickIncrement(G,N,!c,i),L&&Z--);c?G>=P:G<=P;G=$n.tickIncrement(G,N,c,i)){if(L&&Z++,C.rangebreaks&&!c){if(G<g)continue;if(C.maskBreaks(G)===BL&&vB(G,C)>=h)break}if(b.length>d||G===V)break;V=G;var H={value:G};L?(z&&G!==(G|0)&&(H.simpleLabel=!0),a>1&&Z%a&&(H.skipLabel=!0),b.push(H)):(H.minor=!0,p.push(H))}}if(!p||p.length<3)l=!1;else{var re=(p[2].value-p[1].value)*(s?-1:1);Blt(re,t.tickformat)||(l=!1,p=p.slice(1))}if(!l)k=b;else{var ae=b.concat(p);o&&b.length&&(ae=ae.slice(1)),ae=ae.sort(function(Vt,rr){return Vt.value-rr.value}).filter(function(Vt,rr,tt){return rr===0||Vt.value!==tt[rr-1].value});var _e=ae.map(function(Vt,rr){return Vt.minor===void 0&&!Vt.skipLabel?rr:null}).filter(function(Vt){return Vt!==null});_e.forEach(function(Vt){l.map(function(rr){var tt=Vt+rr;tt>=0&&tt<ae.length&&Wo.pushUnique(k,ae[tt])})}),b.forEach(function(Vt){Vt.skipLabel=k.indexOf(Vt)===-1})}if(M){var Ee=t.minor.ticks===\"inside\"&&t.ticks===\"outside\"||t.minor.ticks===\"outside\"&&t.ticks===\"inside\";if(!Ee){for(var Ce=b.map(function(Vt){return Vt.value}),ge=[],ie=0;ie<p.length;ie++){var Se=p[ie],ke=Se.value;if(Ce.indexOf(ke)===-1){for(var be=!1,Be=0;!be&&Be<b.length;Be++)1e7+b[Be].value===1e7+ke&&(be=!0);be||ge.push(Se)}}p=ge}}o&&dlt(k,t,t._definedDelta);var Le;if(t.rangebreaks){var me=t._id.charAt(0)===\"y\",Pe=1;t.tickmode===\"auto\"&&(Pe=t.tickfont?t.tickfont.size:12);var ce=NaN;for(Le=b.length-1;Le>-1;Le--){if(b[Le].drop){b.splice(Le,1);continue}b[Le].value=vB(b[Le].value,t);var He=t.c2p(b[Le].value);(me?ce>He-Pe:ce<He+Pe)?b.splice(c?Le+1:Le,1):ce=He}}MB(t)&&Math.abs(u[1]-u[0])===360&&b.pop(),t._tmax=(b[b.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var lt,mt=function(Vt){Vt.text=\"\",t._prevDateHead=lt};b=b.concat(p);function Ht(Vt,rr){var tt=$n.tickText(Vt,rr.value,!1,rr.simpleLabel),je=rr.periodX;return je!==void 0&&(tt.periodX=je,(je>h||je<f)&&(je>h&&(tt.periodX=h),je<f&&(tt.periodX=f),mt(tt))),tt}var at;for(Le=0;Le<b.length;Le++){var ct=b[Le].minor,ar=b[Le].value;ct?(l&&k.indexOf(b[Le])!==-1?at=Ht(t,b[Le]):at={x:ar},at.minor=!0,m.push(at)):(lt=t._prevDateHead,at=Ht(t,b[Le]),b[Le].skipLabel&&mt(at),v.push(at))}return o&&l&&m.length&&(m[0].noTick=!0),v=v.concat(m),t._inCalcTicks=!1,o&&v.length&&(v[0].noTick=!0),v};function Rse(e,t){return e.rangebreaks&&(t=t.filter(function(r){return e.maskBreaks(r.x)!==BL})),t}function vlt(e){var t=e._mainAxis,r=[];if(t._vals){for(var n=0;n<t._vals.length;n++)if(!t._vals[n].noTick){var i=t.l2p(t._vals[n].x),a=e.p2l(i),o=$n.tickText(e,a);t._vals[n].minor&&(o.minor=!0,o.text=\"\"),r.push(o)}}return r=Rse(e,r),r}function Mse(e,t){var r=Wo.simpleMap(e.range,e.r2l),n=wB(r),i=Math.min(n[0],n[1]),a=Math.max(n[0],n[1]),o=e.type===\"category\"?e.d2l_noadd:e.d2l;e.type===\"log\"&&String(e.dtick).charAt(0)!==\"L\"&&(e.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(e.range[0],e.range[1]))-1));for(var s=[],l=0;l<=1;l++)if(!(t!==void 0&&(t&&l||t===!1&&!l))&&!(l&&!e.minor)){var u=l?e.minor.tickvals:e.tickvals,c=l?[]:e.ticktext;if(u){Wo.isArrayOrTypedArray(c)||(c=[]);for(var f=0;f<u.length;f++){var h=o(u[f]);if(h>i&&h<a){var d=$n.tickText(e,h,!1,String(c[f]));l&&(d.minor=!0,d.text=\"\"),s.push(d)}}}}return s=Rse(e,s),s}var PL=[2,5,10],Ese=[1,2,3,6,12],kse=[1,2,5,10,15,30],plt=[1,2,3,7,14],Dse=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],Fse=[-.301,0,.301,.699,1],glt=[15,30,45,90,180];function bm(e,t,r){return t*Wo.roundUp(e/t,r)}$n.autoTicks=function(e,t,r){var n;function i(f){return Math.pow(f,Math.floor(Math.log(t)/Math.LN10))}if(e.type===\"date\"){e.tick0=Wo.dateTick0(e.calendar,0);var a=2*t;if(a>RL)t/=RL,n=i(10),e.dtick=\"M\"+12*bm(t,n,PL);else if(a>Y3)t/=Y3,e.dtick=\"M\"+bm(t,1,Ese);else if(a>qv){if(e.dtick=bm(t,qv,e._hasDayOfWeekBreaks?[1,2,7,14]:plt),!r){var o=$n.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Wo.dateTick0(e.calendar,2):e.tick0=Wo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>wm?e.dtick=bm(t,wm,Ese):a>pM?e.dtick=bm(t,pM,kse):a>qL?e.dtick=bm(t,qL,kse):(n=i(10),e.dtick=bm(t,n,PL))}else if(e.type===\"log\"){e.tick0=0;var l=Wo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+bm(t,n,PL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):MB(e)?(e.tick0=0,n=1,e.dtick=bm(t,n,glt)):(e.tick0=0,n=i(10),e.dtick=bm(t,n,PL));if(e.dtick===0&&(e.dtick=1),!zh(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function zse(e){var t=e.dtick;if(e._tickexponent=0,!zh(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.slice(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.slice(1)%12===0?\"y\":\"m\";else if(t>=qv&&i<=10||t>=qv*15)e._tickround=\"d\";else if(t>=pM&&i<=16||t>=wm)e._tickround=\"M\";else if(t>=qL&&i<=19||t>=pM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(zh(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);zh(t)||(t=Number(t.slice(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(K3(e.exponentformat)&&e.exponentformat!==\"SI extended\"&&!TB(l)||K3(e.exponentformat)&&e.exponentformat===\"SI extended\"&&!AB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}$n.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(zh(t))return Wo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.slice(1));if(a===\"M\")return Wo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?Fse:Dse,l=e+i*.01,u=Wo.roundUp(Wo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};$n.tickFirst=function(e,t){var r=e.r2l||Number,n=Wo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]<n[0],a=i?Math.floor:Math.ceil,o=wB(n)[0],s=e.dtick,l=r(e.tick0);if(zh(s)){var u=a((o-l)/s)*s+l;return(e.type===\"category\"||e.type===\"multicategory\")&&(u=Wo.constrain(u,0,e._categories.length-1)),u}var c=s.charAt(0),f=Number(s.slice(1));if(c===\"M\"){for(var h=0,d=l,v,m,b;h<10;){if(v=$n.tickIncrement(d,s,i,e.calendar),(v-o)*(d-o)<=0)return i?Math.min(d,v):Math.max(d,v);m=(o-(d+v)/2)/(v-d),b=c+(Math.abs(Math.round(m))||1)*f,d=$n.tickIncrement(d,b,m<0?!i:i,e.calendar),h++}return Wo.error(\"tickFirst did not converge\",e),d}else{if(c===\"L\")return Math.log(a((Math.pow(10,o)-l)/f)*f+l)/Math.LN10;if(c===\"D\"){var p=s===\"D2\"?Fse:Dse,k=Wo.roundUp(Wo.mod(o,1),p,i);return Math.floor(o)+Math.log(w0.round(Math.pow(10,k),1))/Math.LN10}else throw\"unrecognized dtick \"+String(s)}};$n.tickText=function(e,t,r,n){var i=qse(e,t),a=e.tickmode===\"array\",o=r||a,s=e.type,l=s===\"category\"?e.d2l_noadd:e.d2l,u,c=function(b){var p=e.l2p(b);return p>=0&&p<=e._length?b:null};if(a&&Wo.isArrayOrTypedArray(e.ticktext)){var f=Wo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u<e.ticktext.length&&!(Math.abs(t-l(e.tickvals[u]))<h);u++);if(u<e.ticktext.length)return i.text=String(e.ticktext[u]),i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)],i}function d(b){if(b===void 0)return!0;if(r)return b===\"none\";var p={first:e._tmin,last:e._tmax}[b];return b!==\"all\"&&t!==p}var v=r?\"never\":e.exponentformat!==\"none\"&&d(e.showexponent)?\"hide\":\"\";if(s===\"date\"?mlt(e,i,r,o):s===\"log\"?ylt(e,i,r,o,v):s===\"category\"?_lt(e,i):s===\"multicategory\"?xlt(e,i,r):MB(e)?wlt(e,i,r,o,v):blt(e,i,r,o,v),n||(e.tickprefix&&!d(e.showtickprefix)&&(i.text=e.tickprefix+i.text),e.ticksuffix&&!d(e.showticksuffix)&&(i.text+=e.ticksuffix)),e.labelalias&&e.labelalias.hasOwnProperty(i.text)){var m=e.labelalias[i.text];typeof m==\"string\"&&(i.text=m)}return(e.tickson===\"boundaries\"||e.showdividers)&&(i.xbnd=[c(i.x-.5),c(i.x+e.dtick-.5)]),i};$n.hoverLabelText=function(e,t,r){r&&(e=Wo.extendFlat({},e,{hoverformat:r}));var n=Wo.isArrayOrTypedArray(t)?t[0]:t,i=Wo.isArrayOrTypedArray(t)?t[1]:void 0;if(i!==void 0&&i!==n)return $n.hoverLabelText(e,n,r)+\" - \"+$n.hoverLabelText(e,i,r);var a=e.type===\"log\"&&n<=0,o=$n.tickText(e,e.c2l(a?-n:n),\"hover\").text;return a?n===0?\"0\":Bb+o:o};function qse(e,t,r){var n=e.tickfont||{};return{x:t,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}function mlt(e,t,r,n){var i=e._tickround,a=r&&e.hoverformat||$n.getTickFormat(e);n=!a&&n,n&&(zh(i)?i=4:i={y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var o=Wo.formatDate(t.x,a,i,e._dateFormat,e.calendar,e._extraFormat),s,l=o.indexOf(`\n",
+       "`);if(l!==-1&&(s=o.slice(l+1),o=o.slice(0,l)),n&&(s!==void 0&&(o===\"00:00:00\"||o===\"00:00\")?(o=s,s=\"\"):o.length===8&&(o=o.replace(/:00$/,\"\"))),s)if(r)i===\"d\"?o+=\", \"+s:o=s+(o?\", \"+o:\"\");else if(!e._inCalcTicks||e._prevDateHead!==s)e._prevDateHead=s,o+=\"<br>\"+s;else{var u=yM(e),c=e._trueSide||e.side;(!u&&c===\"top\"||u&&c===\"bottom\")&&(o+=\"<br> \")}t.text=o}function ylt(e,t,r,n,i){var a=e.dtick,o=t.x,s=e.tickformat,l=typeof a==\"string\"&&a.charAt(0);if(i===\"never\"&&(i=\"\"),n&&l!==\"L\"&&(a=\"L3\",l=\"L\"),s||l===\"L\")t.text=mM(Math.pow(10,o),e,i,n);else if(zh(a)||l===\"D\"&&(e.minorloglabels===\"complete\"||Wo.mod(o+.01,1)<.1)){var u;e.minorloglabels===\"complete\"&&!(Wo.mod(o+.01,1)<.1)&&(u=!0,t.fontSize*=.75);var c=Math.pow(10,o).toExponential(0),f=c.split(\"e\"),h=+f[1],d=Math.abs(h),v=e.exponentformat;v===\"power\"||K3(v)&&v!==\"SI extended\"&&TB(h)||K3(v)&&v===\"SI 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Se=ie.K===\"tick\"&&ie.L===\"text\"&&t.ticklabelmode===\"period\",ke=n._plots[t._mainSubplot],be;if(ie.K===gB.K){var Be=a?ke.zerolinelayerAbove:ke.zerolinelayer;be=Be.selectAll(\".\"+t._id+\"zl\")}else ie.K===yB.K?be=ke.minorGridlayer.selectAll(\".\"+t._id):ie.K===mB.K?be=ke.gridlayer.selectAll(\".\"+t._id):be=ke[t._id.charAt(0)+\"axislayer\"];be.each(function(){var Le=w0.select(this);ie.L&&(Le=Le.selectAll(ie.L)),Le.each(function(me){var Pe=t.l2p(Se?_B(me):me.x)+t._offset,ce=w0.select(this);Pe<t[\"_visibleLabelMax_\"+Ce._id]&&Pe>t[\"_visibleLabelMin_\"+Ce._id]?ce.style(\"display\",\"none\"):ie.K===\"tick\"&&!ge&&ce.node().style.display!==\"none\"&&ce.style(\"display\",null)})})})})},d(f,c+1?c:u);function v(){return h.length&&Promise.all(h)}var m=null;function b(){if(d(f,u),s.length&&t.autotickangles&&(t.type!==\"log\"||String(t.dtick).charAt(0)!==\"D\")){m=t.autotickangles[0];var H=0,re=[],ae,_e=1;f.each(function(je){H=Math.max(H,je.fontSize);var 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a._offset+a._length};function Lse(e){var t=e.title.font.size,r=(e.title.text.match(Ob.BR_TAG_ALL)||[]).length;return e.title.hasOwnProperty(\"standoff\")?t*(Nb+r*gM):r?t*(r+1)*gM:t}function Ilt(e,t){var r=e._fullLayout,n=t._id,i=n.charAt(0),a=t.title.font.size,o,s=(t.title.text.match(Ob.BR_TAG_ALL)||[]).length;if(t.title.hasOwnProperty(\"standoff\"))t.side===\"bottom\"||t.side===\"right\"?o=t._depth+t.title.standoff+a*Nb:(t.side===\"top\"||t.side===\"left\")&&(o=t._depth+t.title.standoff+a*(hM+s*gM));else{var l=yM(t);if(t.type===\"multicategory\")o=t._depth;else{var u=1.5*a;l&&(u=.5*a,t.ticks===\"outside\"&&(u+=t.ticklen)),o=10+u+(t.linewidth?t.linewidth-1:0)}l||(i===\"x\"?o+=t.side===\"top\"?a*(t.showticklabels?1:0):a*(t.showticklabels?1.5:.5):o+=t.side===\"right\"?a*(t.showticklabels?1:.5):a*(t.showticklabels?.5:0))}var 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lt=XL(He,n,v);j=Math.max(j,lt),N+=lt}),P=null;var H=0;if(u){var re=0,ae=0,_e=0;t.each(function(){var He=0,lt=0;np.select(this).selectAll(\"g.traces\").each(function(Ht){var at=XL(Ht,n,v),ct=Ht[0].height;ph.setTranslate(this,E[0],E[1]+f+d+ct/2+lt),lt+=ct,He=Math.max(He,at),T[Ht[0].trace.legendgroup]=He});var mt=He+d;ae>0&&mt+f+ae>n._maxWidth?(H=Math.max(H,ae),ae=0,_e+=re+M,re=lt):re=Math.max(re,lt),ph.setTranslate(this,ae,_e),ae+=mt}),n._width=Math.max(H,ae)+f,n._height=_e+re+m}else{var Ee=r.size(),Ce=N+h+(Ee-1)*d<n._maxWidth,ge=0,ie=0,Se=0,ke=0;r.each(function(He){var lt=He[0].height,mt=XL(He,n,v,u),Ht=Ce?mt:j;c||(Ht+=d),Ht+f+ie-d>=n._maxWidth&&(H=Math.max(H,ke),ie=0,Se+=ge,n._height+=ge,ge=0),ph.setTranslate(this,E[0]+f+ie,E[1]+f+Se+lt/2+d),ke=ie+mt+d,ie+=Ht,ge=Math.max(ge,lt)}),Ce?(n._width=ie+h,n._height=ge+m):(n._width=Math.max(H,ke)+h,n._height+=ge+m)}}n._width=Math.ceil(Math.max(n._width+E[0],n._titleWidth+2*(f+qh.titlePad))),n._height=Math.ceil(Math.max(n._height+E[1],n._titleHeight+2*(f+qh.itemGap))),n._effHeight=Math.min(n._height,n._maxHeight);var be=e._context.edits,Be=be.legendText||be.legendPosition;r.each(function(He){var lt=np.select(this).select(\".\"+o+\"toggle\"),mt=He[0].height,Ht=He[0].trace.legendgroup,at=XL(He,n,v);u&&Ht!==\"\"&&(at=T[Ht]);var ct=Be?v:P||at;!l&&!c&&(ct+=d/2),ph.setRect(lt,0,-mt/2,ct,mt)});var Le=i.select(\".\"+o+\"titletext\");Le.node()&&yut(Le,n,f);var me=i.select(\".\"+o+\"titletoggle\");if(me.size()&&Le.node()){var 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Ht(Vi,Jn){for(H=0;H<G.length;H++)if(re=G[H],!(!re||!re[0]||!re[0].trace)&&(ae=re[0].trace,!(ae.visible!==!0||ae._length===0)&&[\"carpet\",\"contourcarpet\"].indexOf(ae._module.name)===-1)){if(Ce=h,kg.isUnifiedHover(Ce)&&(Ce=Ce.charAt(0)),ae.type===\"splom\"?(Ee=0,_e=a[Ee]):(_e=kg.getSubplot(ae),Ee=a.indexOf(_e)),Se={cd:re,trace:ae,xa:C[Ee],ya:S[Ee],maxHoverDistance:z,maxSpikeDistance:q,index:!1,distance:Math.min(mt,z),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:vd.defaultLine,name:ae.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},s[_e]&&(Se.subplot=s[_e]._subplot),s._splomScenes&&s._splomScenes[ae.uid]&&(Se.scene=s._splomScenes[ae.uid]),Ce===\"array\"){var Yn=t[H];if(\"pointNumber\"in Yn){let Hi=re[Yn.pointNumber];Hi&&(Se.index=Yn.pointNumber,Hi.lonlat?(ge=Hi.lonlat[0],ie=Hi.lonlat[1]):(ge=Hi.x,ie=Hi.y)),Ce=\"closest\"}else Ce=\"\",\"xval\"in Yn&&(ge=Yn.xval,Ce=\"x\"),\"yval\"in Yn&&(ie=Yn.yval,Ce=Ce?\"closest\":\"y\")}else Vi!==void 0&&Jn!==void 0?(ge=Vi,ie=Jn):(ge=Z[Ee],ie=j[Ee]);if(ke=V.length,z!==0)if(ae._module&&ae._module.hoverPoints){var Gt=ae._module.hoverPoints(Se,ge,ie,Ce,{finiteRange:!0,hoverLayer:s._hoverlayer,hoversubplots:l,gd:e});if(Gt)for(var wt,tr=0;tr<Gt.length;tr++)wt=Gt[tr],Ry(wt.x0)&&Ry(wt.y0)&&V.push(Uut(wt,h))}else zf.log(\"Unrecognized trace type in hover:\",ae);if(h===\"closest\"&&V.length>ke&&(V.splice(0,ke),mt=V[0].distance),f&&q!==0&&V.length===0){Se.distance=q,Se.index=!1;var ir=ae._module.hoverPoints(Se,ge,ie,\"closest\",{hoverLayer:s._hoverlayer});if(ir&&(ir=ir.filter(function(Hi){return Hi.spikeDistance<=q})),ir&&ir.length){var wr,Xr=ir.filter(function(Hi){return Hi.xa.showspikes&&Hi.xa.spikesnap!==\"hovered data\"});if(Xr.length){var ti=Xr[0];Ry(ti.x0)&&Ry(ti.y0)&&(wr=ct(ti),(!be.vLinePoint||be.vLinePoint.spikeDistance>wr.spikeDistance)&&(be.vLinePoint=wr))}var $r=ir.filter(function(Hi){return Hi.ya.showspikes&&Hi.ya.spikesnap!==\"hovered data\"});if($r.length){var Ri=$r[0];Ry(Ri.x0)&&Ry(Ri.y0)&&(wr=ct(Ri),(!be.hLinePoint||be.hLinePoint.spikeDistance>wr.spikeDistance)&&(be.hLinePoint=wr))}}}}}Ht();function at(Vi,Jn,Yn){for(var Gt=null,wt=1/0,tr,ir=0;ir<Vi.length;ir++)m&&m._id!==Vi[ir].xa._id||b&&b._id!==Vi[ir].ya._id||(tr=Vi[ir].spikeDistance,Yn&&ir===0&&(tr=-1/0),tr<=wt&&tr<=Jn&&(Gt=Vi[ir],wt=tr));return Gt}function ct(Vi){return Vi?{xa:Vi.xa,ya:Vi.ya,x:Vi.xSpike!==void 0?Vi.xSpike:(Vi.x0+Vi.x1)/2,y:Vi.ySpike!==void 0?Vi.ySpike:(Vi.y0+Vi.y1)/2,distance:Vi.distance,spikeDistance:Vi.spikeDistance,curveNumber:Vi.trace.index,color:Vi.color,pointNumber:Vi.index}:null}var ar={fullLayout:s,container:s._hoverlayer,event:t},Vt=e._spikepoints,rr={vLinePoint:be.vLinePoint,hLinePoint:be.hLinePoint};e._spikepoints=rr;var tt=function(){var Vi=V.filter(function(Yn){return m&&m._id===Yn.xa._id&&b&&b._id===Yn.ya._id}),Jn=V.filter(function(Yn){return!(m&&m._id===Yn.xa._id&&b&&b._id===Yn.ya._id)});Vi.sort(Ble),Jn.sort(Ble),V=Vi.concat(Jn),V=Gut(V,h)};tt();var je=h.charAt(0),Ue=(je===\"x\"||je===\"y\")&&V[0]&&zut[V[0].trace.type];if(f&&q!==0&&V.length!==0){var Ae=V.filter(function(Vi){return Vi.ya.showspikes}),rt=at(Ae,q,Ue);be.hLinePoint=ct(rt);var St=V.filter(function(Vi){return Vi.xa.showspikes}),Tt=at(St,q,Ue);be.vLinePoint=ct(Tt)}if(V.length===0){var dt=$L.unhoverRaw(e,t);if(f&&(be.hLinePoint!==null||be.vLinePoint!==null)&&Vle(Vt)&&Ule(e,be,ar),s.hoveranywhere&&!n&&i){var Et=e._hoverdata;Et&&Et.length&&(e.emit(\"plotly_unhover\",{event:t,points:Et}),e._hoverdata=[]),Qn([])}return dt}if(f&&Vle(Vt)&&Ule(e,be,ar),kg.isXYhover(Ce)&&V[0].length!==0&&V[0].trace.type!==\"splom\"){var pt=V[0];Ole[pt.trace.type]?V=V.filter(Vi=>Vi.trace.index===pt.trace.index):V=[pt];var jt=V.length,or=Hle(\"x\",pt,s),mr=Hle(\"y\",pt,s);Ht(or,mr);var Ar=[],ei={},qr=0,jr=function(Vi){var Jn=Ole[Vi.trace.type]?Wle(Vi):Vi.trace.index;if(!ei[Jn])qr++,ei[Jn]=qr,Ar.push(Vi);else{var Yn=ei[Jn]-1,Gt=Ar[Yn];Yn>0&&Math.abs(Vi.distance)<Math.abs(Gt.distance)&&(Ar[Yn]=Vi)}},gt;for(gt=0;gt<jt;gt++)jr(V[gt]);for(gt=V.length-1;gt>jt-1;gt--)jr(V[gt]);V=Ar,tt()}var Ge=e._hoverdata,Je=[],We=Kle(e),et=Jle(e);for(let Vi of V){var xt=kg.makeEventData(Vi,Vi.trace,Vi.cd);if(Vi.hovertemplate!==!1){var At=!1;Vi.cd[Vi.index]&&Vi.cd[Vi.index].ht&&(At=Vi.cd[Vi.index].ht),Vi.hovertemplate=At||Vi.trace.hovertemplate||!1}if(Vi.xa&&Vi.ya){var Kt=Vi.x0+Vi.xa._offset,Qt=Vi.x1+Vi.xa._offset,Mr=Vi.y0+Vi.ya._offset,Gr=Vi.y1+Vi.ya._offset,Ir=Math.min(Kt,Qt),Yr=Math.max(Kt,Qt),_i=Math.min(Mr,Gr),Pi=Math.max(Mr,Gr);xt.bbox={x0:Ir+et,x1:Yr+et,y0:_i+We,y1:Pi+We},xt.xPixel=(Kt+Qt)/2,xt.yPixel=(Mr+Gr)/2}Vi.eventData=[xt],Je.push(xt)}e._hoverdata=Je;var ai=h===\"y\"&&(G.length>1||V.length>1)||h===\"closest\"&&Be&&V.length>1,mi=vd.combine(s.plot_bgcolor||vd.background,s.paper_bgcolor),un=Xle(V,{gd:e,hovermode:h,rotateLabels:ai,bgColor:mi,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),Fn=un.hoverLabels;if(kg.isUnifiedHover(h)||(But(Fn,ai,s,un.commonLabelBoundingBox),Yle(Fn,ai,s._invScaleX,s._invScaleY)),i&&i.tagName){var An=iT.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Je);Cut(Wb.select(i),An?\"pointer\":\"\")}var Hn=Vut(e,t,Ge);if(!i||n||!Hn&&!s.hoveranywhere)return;Ge&&Hn&&e.emit(\"plotly_unhover\",{event:t,points:Ge}),Qn(e._hoverdata);function Qn(Vi){e.emit(\"plotly_hover\",{event:t,points:Vi,xaxes:C,yaxes:S,xvals:Z,yvals:j})}}function Wle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var Out=/<extra>([\\s\\S]*)<\\/extra>/;function Xle(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||Xb.HOVERFONT,f=t.fontSize||Xb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,m=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,p=t.fontShadow||n.font.shadow,k=e[0],M=k.xa,T=k.ya,L=i.charAt(0),x=L+\"Label\",C=k[x];if(C===void 0&&M.type===\"multicategory\")for(var S=0;S<e.length&&(C=e[S][x],C===void 0);S++);var g=rT(r,l),P=g.top,E=g.width,z=g.height,q=C!==void 0&&k.distance<=t.hoverdistance&&(i===\"x\"||i===\"y\");if(q){var V=!0,G,Z;for(G=0;G<e.length;G++)if(V&&e[G].zLabel===void 0&&(V=!1),Z=e[G].hoverinfo||e[G].trace.hoverinfo,Z){var j=Array.isArray(Z)?Z:Z.split(\"+\");if(j.indexOf(\"all\")===-1&&j.indexOf(i)===-1){q=!1;break}}V&&(q=!1)}var N=s.selectAll(\"g.axistext\").data(q?[0]:[]);N.enter().append(\"g\").classed(\"axistext\",!0),N.exit().remove();var H={minX:0,maxX:0,minY:0,maxY:0};if(N.each(function(){var dt=Wb.select(this),Et=zf.ensureSingle(dt,\"path\",\"\",function(_i){_i.style({\"stroke-width\":\"1px\"})}),pt=zf.ensureSingle(dt,\"text\",\"\",function(_i){_i.attr(\"data-notex\",1)}),jt=u.bgcolor||vd.defaultLine,or=u.bordercolor||vd.contrast(jt),mr=vd.contrast(jt),Ar=u.font,ei={weight:Ar.weight||h,style:Ar.style||d,variant:Ar.variant||v,textcase:Ar.textcase||m,lineposition:Ar.lineposition||b,shadow:Ar.shadow||p,family:Ar.family||c,size:Ar.size||f,color:Ar.color||mr};Et.style({fill:jt,stroke:or}),pt.text(C).call(Am.font,ei).call(A0.positionText,0,0).call(A0.convertToTspans,r),dt.attr(\"transform\",\"\");var qr=rT(r,pt.node()),jr,gt;if(i===\"x\"){var Ge=M.side===\"top\"?\"-\":\"\";pt.attr(\"text-anchor\",\"middle\").call(A0.positionText,0,M.side===\"top\"?P-qr.bottom-Qc-ol:P-qr.top+Qc+ol),jr=M._offset+(k.x0+k.x1)/2,gt=T._offset+(M.side===\"top\"?0:T._length);var Je=qr.width/2+ol,We=jr;jr<Je?We=Je:jr>n.width-Je&&(We=n.width-Je),Et.attr(\"d\",\"M\"+(jr-We)+\",0L\"+(jr-We+Qc)+\",\"+Ge+Qc+\"H\"+Je+\"v\"+Ge+(ol*2+qr.height)+\"H\"+-Je+\"V\"+Ge+Qc+\"H\"+(jr-We-Qc)+\"Z\"),jr=We,H.minX=jr-Je,H.maxX=jr+Je,M.side===\"top\"?(H.minY=gt-(ol*2+qr.height),H.maxY=gt-ol):(H.minY=gt+ol,H.maxY=gt+(ol*2+qr.height))}else{var et,xt,At;T.side===\"right\"?(et=\"start\",xt=1,At=\"\",jr=M._offset+M._length):(et=\"end\",xt=-1,At=\"-\",jr=M._offset),gt=T._offset+(k.y0+k.y1)/2,pt.attr(\"text-anchor\",et),Et.attr(\"d\",\"M0,0L\"+At+Qc+\",\"+Qc+\"V\"+(ol+qr.height/2)+\"h\"+At+(ol*2+qr.width)+\"V-\"+(ol+qr.height/2)+\"H\"+At+Qc+\"V-\"+Qc+\"Z\"),H.minY=gt-(ol+qr.height/2),H.maxY=gt+(ol+qr.height/2),T.side===\"right\"?(H.minX=jr+Qc,H.maxX=jr+Qc+(ol*2+qr.width)):(H.minX=jr-Qc-(ol*2+qr.width),H.maxX=jr-Qc);var Kt=qr.height/2,Qt=P-qr.top-Kt,Mr=\"clip\"+n._uid+\"commonlabel\"+T._id,Gr;if(jr<qr.width+2*ol+Qc){Gr=\"M-\"+(Qc+ol)+\"-\"+Kt+\"h-\"+(qr.width-ol)+\"V\"+Kt+\"h\"+(qr.width-ol)+\"Z\";var Ir=qr.width-jr+ol;A0.positionText(pt,Ir,Qt),et===\"end\"&&pt.selectAll(\"tspan\").each(function(){var _i=Wb.select(this),Pi=Am.tester.append(\"text\").text(_i.text()).call(Am.font,ei),ai=rT(r,Pi.node());Math.round(ai.width)<Math.round(qr.width)&&_i.attr(\"x\",Ir-ai.width),Pi.remove()})}else A0.positionText(pt,xt*(ol+Qc),Qt),Gr=null;var Yr=n._topclips.selectAll(\"#\"+Mr).data(Gr?[0]:[]);Yr.enter().append(\"clipPath\").attr(\"id\",Mr).append(\"path\"),Yr.exit().remove(),Yr.select(\"path\").attr(\"d\",Gr),Am.setClipUrl(pt,Gr?Mr:null,r)}dt.attr(\"transform\",KB(jr,gt))}),kg.isUnifiedHover(i)){s.selectAll(\"g.hovertext\").remove();let dt=e.filter(Et=>Et.hoverinfo!==\"none\");if(dt.length===0)return[];var re=n.hoverlabel,ae=re.font,_e=dt[0],Ee=((i===\"x unified\"?_e.xa:_e.ya).unifiedhovertitle||{}).text,Ce=Ee?zf.hovertemplateString({data:i===\"x unified\"?[{xa:_e.xa,x:_e.xVal}]:[{ya:_e.ya,y:_e.yVal}],fallback:_e.trace.hovertemplatefallback,locale:n._d3locale,template:Ee}):C,ge={showlegend:!0,legend:{title:{text:Ce,font:ae},font:ae,bgcolor:re.bgcolor,bordercolor:re.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:n.legend?n.legend.traceorder:void 0,orientation:\"v\"}},ie={font:ae};Put(ge,ie,r._fullData);var Se=ie.legend;Se.entries=[];for(var ke=0;ke<dt.length;ke++){var be=dt[ke];if(be.hoverinfo!==\"none\"){var Be=Nle(be,!0,i,n,C),Le=Be[0],me=Be[1];be.name=me,me!==\"\"?be.text=me+\" : \"+Le:be.text=Le;var Pe=be.cd[be.index];Pe&&(Pe.mc&&(be.mc=Pe.mc),Pe.mcc&&(be.mc=Pe.mcc),Pe.mlc&&(be.mlc=Pe.mlc),Pe.mlcc&&(be.mlc=Pe.mlcc),Pe.mlw&&(be.mlw=Pe.mlw),Pe.mrc&&(be.mrc=Pe.mrc),Pe.dir&&(be.dir=Pe.dir)),be._distinct=!0,Se.entries.push([be])}}Se.entries.sort(function(Et,pt){var jt=n.hoversort;if(jt===\"value descending\"||jt===\"value ascending\"){var or=i.charAt(0)===\"x\"?\"y\":\"x\",mr=Et[0][or+\"LabelVal\"],Ar=pt[0][or+\"LabelVal\"];if(mr!==Ar)return jt===\"value descending\"?Ar-mr:mr-Ar}return Et[0].trace.index-pt[0].trace.index}),Se.layer=s,Se._inHover=!0,Se._groupTitleFont=re.grouptitlefont,Iut(r,Se);var ce=s.select(\"g.legend\"),He=rT(r,ce.node()),lt=He.width+2*ol,mt=He.height+2*ol,Ht=dt[0],at=(Ht.x0+Ht.x1)/2,ct=(Ht.y0+Ht.y1)/2,ar=!(iT.traceIs(Ht.trace,\"bar-like\")||iT.traceIs(Ht.trace,\"box-violin\")),Vt,rr;L===\"y\"?ar?(rr=ct-ol,Vt=ct+ol):(rr=Math.min.apply(null,dt.map(function(Et){return Math.min(Et.y0,Et.y1)})),Vt=Math.max.apply(null,dt.map(function(Et){return Math.max(Et.y0,Et.y1)}))):rr=Vt=zf.mean(dt.map(function(Et){return(Et.y0+Et.y1)/2}))-mt/2;var tt,je;L===\"x\"?ar?(tt=at+ol,je=at-ol):(tt=Math.max.apply(null,dt.map(function(Et){return Math.max(Et.x0,Et.x1)})),je=Math.min.apply(null,dt.map(function(Et){return Math.min(Et.x0,Et.x1)}))):tt=je=zf.mean(dt.map(function(Et){return(Et.x0+Et.x1)/2}))-lt/2;var Ue=M._offset,Ae=T._offset;Vt+=Ae,tt+=Ue,je+=Ue-lt,rr+=Ae-mt;var rt,St;return tt+lt<E&&tt>=0?rt=tt:je+lt<E&&je>=0?rt=je:Ue+lt<E?rt=Ue:tt-at<at-je+lt?rt=E-lt:rt=0,rt+=ol,Vt+mt<z&&Vt>=0?St=Vt:rr+mt<z&&rr>=0?St=rr:Ae+mt<z?St=Ae:Vt-ct<ct-rr+mt?St=z-mt:St=0,St+=ol,ce.attr(\"transform\",KB(rt-1,St-1)),ce}var Tt=s.selectAll(\"g.hovertext\").data(e,function(dt){return Wle(dt)});return Tt.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var dt=Wb.select(this);dt.append(\"rect\").call(vd.fill,vd.addOpacity(o,.8)),dt.append(\"text\").classed(\"name\",!0),dt.append(\"path\").style(\"stroke-width\",\"1px\"),dt.append(\"text\").classed(\"nums\",!0).call(Am.font,{weight:h,style:d,variant:v,textcase:m,lineposition:b,shadow:p,family:c,size:f})}),Tt.exit().remove(),Tt.each(function(dt){var Et=Wb.select(this).attr(\"transform\",\"\"),pt=dt.color;Array.isArray(pt)&&(pt=pt[dt.eventData[0].pointNumber]);var jt=dt.bgcolor||pt,or=vd.combine(vd.opacity(jt)?jt:vd.defaultLine,o),mr=vd.combine(vd.opacity(pt)?pt:vd.defaultLine,o),Ar=dt.borderColor||vd.contrast(or),ei=Nle(dt,q,i,n,C,Et),qr=ei[0],jr=ei[1],gt=Et.select(\"text.nums\").call(Am.font,{family:dt.fontFamily||c,size:dt.fontSize||f,color:dt.fontColor||Ar,weight:dt.fontWeight||h,style:dt.fontStyle||d,variant:dt.fontVariant||v,textcase:dt.fontTextcase||m,lineposition:dt.fontLineposition||b,shadow:dt.fontShadow||p}).text(qr).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r),Ge=Et.select(\"text.name\"),Je=0,We=0;if(jr&&jr!==qr){Ge.call(Am.font,{family:dt.fontFamily||c,size:dt.fontSize||f,color:mr,weight:dt.fontWeight||h,style:dt.fontStyle||d,variant:dt.fontVariant||v,textcase:dt.fontTextcase||m,lineposition:dt.fontLineposition||b,shadow:dt.fontShadow||p}).text(jr).attr(\"data-notex\",1).call(A0.positionText,0,0).call(A0.convertToTspans,r);var et=rT(r,Ge.node());Je=et.width+2*ol,We=et.height+2*ol}else Ge.remove(),Et.select(\"rect\").remove();Et.select(\"path\").style({fill:or,stroke:Ar});var xt=dt.xa._offset+(dt.x0+dt.x1)/2,At=dt.ya._offset+(dt.y0+dt.y1)/2,Kt=Math.abs(dt.x1-dt.x0),Qt=Math.abs(dt.y1-dt.y0),Mr=rT(r,gt.node()),Gr=Mr.width/n._invScaleX,Ir=Mr.height/n._invScaleY;dt.ty0=(P-Mr.top)/n._invScaleY,dt.bx=Gr+2*ol,dt.by=Math.max(Ir+2*ol,We),dt.anchor=\"start\",dt.txwidth=Gr,dt.tx2width=Je,dt.offset=0;var Yr=(Gr+Qc+ol+Je)*n._invScaleX,_i,Pi;if(a)dt.pos=xt,_i=At+Qt/2+Yr<=z,Pi=At-Qt/2-Yr>=0,(dt.idealAlign===\"top\"||!_i)&&Pi?(At-=Qt/2,dt.anchor=\"end\"):_i?(At+=Qt/2,dt.anchor=\"start\"):dt.anchor=\"middle\",dt.crossPos=At;else{if(dt.pos=At,_i=xt+Kt/2+Yr<=E,Pi=xt-Kt/2-Yr>=0,(dt.idealAlign===\"left\"||!_i)&&Pi)xt-=Kt/2,dt.anchor=\"end\";else if(_i)xt+=Kt/2,dt.anchor=\"start\";else{dt.anchor=\"middle\";var ai=Yr/2,mi=xt+ai-E,un=xt-ai;mi>0&&(xt-=mi),un<0&&(xt+=-un)}dt.crossPos=xt}gt.attr(\"text-anchor\",dt.anchor),Je&&Ge.attr(\"text-anchor\",dt.anchor),Et.attr(\"transform\",KB(xt,At)+(a?Eut(jle):\"\"))}),{hoverLabels:Tt,commonLabelBoundingBox:H}}function Nle(e,t,r,n,i,a){var f,h;var o=\"\",s=\"\";e.nameOverride!==void 0&&(e.name=e.nameOverride),e.name&&(e.trace._meta&&(e.name=zf.templateString(e.name,e.trace._meta)),o=Gle(e.name,e.nameLength));var l=r.charAt(0),u=l===\"x\"?\"y\":\"x\";e.zLabel!==void 0?(e.xLabel!==void 0&&(s+=\"x: \"+e.xLabel+\"<br>\"),e.yLabel!==void 0&&(s+=\"y: \"+e.yLabel+\"<br>\"),e.trace.type!==\"choropleth\"&&e.trace.type!==\"choroplethmapbox\"&&e.trace.type!==\"choroplethmap\"&&(s+=(s?\"z: \":\"\")+e.zLabel)):t&&e[l+\"Label\"]===i?s=e[u+\"Label\"]||\"\":e.xLabel===void 0?e.yLabel!==void 0&&e.trace.type!==\"scattercarpet\"&&(s=e.yLabel):e.yLabel===void 0?s=e.xLabel:s=\"(\"+e.xLabel+\", \"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"<br>\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"<br>\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o),(h=(f=e.trace)==null?void 0:f.hoverlabel)!=null&&h.split&&(e.hovertemplate=\"\");let{hovertemplate:c=!1}=e;if(c){let d=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(d[l+\"other\"]=d[l+\"Val\"],d[l+\"otherLabel\"]=d[l+\"Label\"]),s=zf.hovertemplateString({data:[e.eventData[0]||{},e.trace._meta],fallback:e.trace.hovertemplatefallback,labels:d,locale:n._d3locale,template:c}),s=s.replace(Out,(v,m)=>(o=Gle(m,e.nameLength),\"\"))}return[s,o]}function But(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,m=function(Z){return Z*r._invScaleX},b=function(Z){return Z*r._invScaleY};e.each(function(Z){var j=Z[i],N=Z[a],H=j._id.charAt(0)===\"x\",re=j.range;c===0&&re&&re[0]>re[1]!==H&&(s=-1);var 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s=i.label.textposition,l=i.label.textangle,u=i.label.padding,c=i.type,f=Math.PI/180*a,h=Math.sin(f),d=Math.cos(f),v=i.label.xanchor,m=i.label.yanchor,b,p,k,M;if(c===\"line\"){s===\"start\"?(b=e,p=t):s===\"end\"?(b=r,p=n):(b=(e+r)/2,p=(t+n)/2),v===\"auto\"&&(s===\"start\"?l===\"auto\"?r>e?v=\"left\":r<e?v=\"right\":v=\"center\":r>e?v=\"right\":r<e?v=\"left\":v=\"center\":s===\"end\"?l===\"auto\"?r>e?v=\"right\":r<e?v=\"left\":v=\"center\":r>e?v=\"left\":r<e?v=\"right\":v=\"center\":v=\"center\");var T={left:1,center:0,right:-1},L={bottom:-1,middle:0,top:1};if(l===\"auto\"){var x=L[m];k=-u*h*x,M=u*d*x}else{var C=T[v],S=L[m];k=u*C,M=u*S}b=b+k,p=p+M}else k=u+3,s.indexOf(\"right\")!==-1?(b=Math.max(e,r)-k,v===\"auto\"&&(v=\"right\")):s.indexOf(\"left\")!==-1?(b=Math.min(e,r)+k,v===\"auto\"&&(v=\"left\")):(b=(e+r)/2,v===\"auto\"&&(v=\"center\")),s.indexOf(\"top\")!==-1?p=Math.min(t,n):s.indexOf(\"bottom\")!==-1?p=Math.max(t,n):p=(t+n)/2,M=u,m===\"bottom\"?p=p-M:m===\"top\"&&(p=p+M);var g=Nct[m],P=i.label.font.size,E=o.height,z=(E*g-P)*h,q=-(E*g-P)*d;return{textx:b+z,texty:p+q,xanchor:v}}});var cP=ye((xor,Xue)=>{\"use strict\";var Gct=Pr(),Hct=Gct.strTranslate,Nue=yv(),Gue=Cg(),jct=Gue.drawMode,Hue=Gue.selectMode,jue=Oa(),Uue=ka(),uP=rP(),Wct=uP.i000,Xct=uP.i090,Zct=uP.i180,Yct=uP.i270,Kct=s_(),Wue=Kct.clearOutlineControllers,sN=y_(),lP=sN.pointsOnRectangle,oN=sN.pointsOnEllipse,Jct=sN.writePaths,$ct=sP().newShapes,Qct=sP().createShapeObj,eft=nN(),tft=aN();Xue.exports=function e(t,r,n,i){i||(i=0);var a=n.gd;function o(){e(t,r,n,i++),(oN(t[0])||n.hasText)&&s({redrawing:!0})}function s(j){var N={};n.isActiveShape!==void 0&&(n.isActiveShape=!1,N=$ct(r,n)),n.isActiveSelection!==void 0&&(n.isActiveSelection=!1,N=eft(r,n),a._fullLayout._reselect=!0),Object.keys(N).length&&jue.call((j||{}).redrawing?\"relayout\":\"_guiRelayout\",a,N)}var l=a._fullLayout,u=l._zoomlayer,c=n.dragmode,f=jct(c),h=Hue(c);(f||h)&&(a._fullLayout._outlining=!0),Wue(a),r.attr(\"d\",Jct(t));var 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be=ge[1]-ie,Be=ge[2]-Se,Le=Be?5:Math.max(Math.min(25,Math.abs(be)-5),5),me=be?5:Math.max(Math.min(25,Math.abs(Be)-5),5);ke.classed(Be?\"cursor-ew-resize\":\"cursor-ns-resize\",!0).attr(\"width\",Le).attr(\"height\",me).attr(\"x\",ie-Le/2).attr(\"y\",Se-me/2).attr(\"transform\",Hct(be/2,Be/2))}else ke.classed(\"cursor-grab\",!0).attr(\"r\",5).attr(\"cx\",ie).attr(\"cy\",Se);d[N][Ee]={element:ke.node(),gd:a,prepFn:L,doneFn:C,clickFn:g},Nue.init(d[N][Ee])}}}function E(j,N){if(t.length)for(var H=0;H<t.length;H++)for(var re=0;re<t[H].length;re++)for(var ae=0;ae+2<t[H][re].length;ae+=2)t[H][re][ae+1]=p[H][re][ae+1]+j,t[H][re][ae+2]=p[H][re][ae+2]+N}function z(j,N){E(j,N),o()}function q(j){m=+j.srcElement.getAttribute(\"data-i\"),m||(m=0),v[m].moveFn=z}function V(){s()}function G(j){j===2&&ift(a)}function Z(){if(v=[],!!t.length){var j=0;v[j]={element:r[0][0],gd:a,prepFn:q,doneFn:V,clickFn:G},Nue.init(v[j])}}};function rft(e,t){for(var r=0;r<t.length;r++){var n=t[r];e[r]=[];for(var 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t=e._fullLayout;t._shapeUpperLayer.selectAll(\"path\").remove(),t._shapeLowerLayer.selectAll(\"path\").remove(),t._shapeUpperLayer.selectAll(\"text\").remove(),t._shapeLowerLayer.selectAll(\"text\").remove();for(var r in t._plots){var n=t._plots[r].shapelayer;n&&(n.selectAll(\"path\").remove(),n.selectAll(\"text\").remove())}for(var i=0;i<t.shapes.length;i++)t.shapes[i].visible===!0&&tce(e,i)}function fP(e){return!!e._fullLayout._outlining}function vP(e){return!e._context.edits.shapePosition}function tce(e,t){e._fullLayout._paperdiv.selectAll('.shapelayer [data-index=\"'+t+'\"]').remove();var r=Ep.makeShapesOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input||n.visible!==!0)return;let a=Array.isArray(n.xref)||Array.isArray(n.yref);if(n.layer===\"above\")s(e._fullLayout._shapeUpperLayer);else if(n.xref.includes(\"paper\")||n.yref.includes(\"paper\"))s(e._fullLayout._shapeLowerLayer);else if(n.layer===\"between\"&&!a)s(i.shapelayerBetween);else if(i._hadPlotinfo){var 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a=i.append(\"div\").classed(\"plotly-cloud-dialog\",!0),o=a.append(\"div\").classed(\"plotly-cloud-dialog-box\",!0);o.append(\"div\").classed(\"plotly-cloud-dialog-title\",!0).text(gP(t,\"Share with Plotly Cloud\")),o.append(\"div\").classed(\"plotly-cloud-dialog-message\",!0).text(gP(t,\"This chart and its data will be sent to\")+\" \"+r+\".\");var s=o.append(\"div\").classed(\"plotly-cloud-dialog-buttons\",!0);function l(){a.remove(),document.removeEventListener(\"keydown\",u)}function u(c){(c.key===\"Escape\"||c.keyCode===27)&&l()}document.addEventListener(\"keydown\",u),a.on(\"click\",function(){nce.event.target===a.node()&&l()}),s.append(\"button\").classed(\"plotly-cloud-dialog-btn\",!0).classed(\"plotly-cloud-dialog-btn--cancel\",!0).text(gP(t,\"Cancel\")).on(\"click\",l),s.append(\"button\").classed(\"plotly-cloud-dialog-btn\",!0).classed(\"plotly-cloud-dialog-btn--confirm\",!0).text(gP(t,\"Share\")).on(\"click\",function(){l(),n()})}});var vN=ye((Tor,vce)=>{\"use strict\";var S0=Oa(),dft=Mc(),sce=df(),Gl=eP(),vft=pP().eraseActiveShape,pft=oce(),mP=Pr(),sl=mP._,_l=vce.exports={};_l.toImage={name:\"toImage\",title:function(e){var t=e._context.toImageButtonOptions||{},r=t.format||\"png\";return r===\"png\"?sl(e,\"Download plot as a PNG\"):sl(e,\"Download plot\")},icon:Gl.camera,click:function(e){var t=e._context.toImageButtonOptions,r={format:t.format||\"png\"};mP.notifier(sl(e,\"Taking snapshot - this may take a few seconds\"),\"long\",e),[\"filename\",\"width\",\"height\",\"scale\"].forEach(function(n){n in t&&(r[n]=t[n])}),S0.call(\"downloadImage\",e,r).then(function(n){mP.notifier(sl(e,\"Snapshot succeeded\")+\" - \"+n,\"long\",e)}).catch(function(){mP.notifier(sl(e,\"Sorry, there was a problem downloading your snapshot!\"),\"long\",e)})}};_l.sendChartToCloud={name:\"sendChartToCloud\",title:function(e){return sl(e,\"Share with Plotly Cloud\")},icon:Gl.cloudupload,click:function(e){var t=(window.PLOTLYENV||{}).BASE_URL||e._context.plotlyServerURL;if(!t){console.error(\"No destination URL provided (plotlyServerURL is not set)\");return}try{new URL(t)}catch(r){console.error(\"Invalid plotlyServerURL: \"+t);return}pft(e,t,function(){dft.sendDataToCloud(e,t)})}};_l.sendDataToCloud=_l.sendChartToCloud;_l.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(e){return sl(e,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:Gl.zoombox,click:Bv};_l.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(e){return sl(e,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:Gl.pan,click:Bv};_l.select2d={name:\"select2d\",_cat:\"select\",title:function(e){return sl(e,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:Gl.selectbox,click:Bv};_l.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(e){return sl(e,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:Gl.lasso,click:Bv};_l.drawclosedpath={name:\"drawclosedpath\",title:function(e){return sl(e,\"Draw closed 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0&&(o[v+\".showspikes\"]=u._showSpikeInitial,l===\"on\"&&!u._showSpikeInitial&&(l=\"off\"));else{var b=[u.r2l(u.range[0]),u.r2l(u.range[1])],p=[h*b[0]+d*b[1],h*b[1]+d*b[0]];o[v+\".range[0]\"]=u.l2r(p[0]),o[v+\".range[1]\"]=u.l2r(p[1])}}else n===\"hovermode\"&&(i===\"x\"||i===\"y\")&&(i=a._isHoriz?\"y\":\"x\",r.setAttribute(\"data-val\",i)),o[n]=i;a._cartesianSpikesEnabled=l,S0.call(\"_guiRelayout\",e,o)}_l.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(e){return sl(e,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:Gl.zoombox,click:yP};_l.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(e){return sl(e,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:Gl.pan,click:yP};_l.orbitRotation={name:\"orbitRotation\",title:function(e){return sl(e,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:Gl[\"3d_rotate\"],click:yP};_l.tableRotation={name:\"tableRotation\",title:function(e){return sl(e,\"Turntable 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c=s[u],f=c+\".camera\",h=c+\".aspectratio\",d=c+\".aspectmode\",v=o[c]._scene,m;i?(l[f+\".up\"]=v.viewInitial.up,l[f+\".eye\"]=v.viewInitial.eye,l[f+\".center\"]=v.viewInitial.center,m=!0):a&&(l[f+\".up\"]=null,l[f+\".eye\"]=null,l[f+\".center\"]=null,m=!0),m&&(l[h+\".x\"]=v.viewInitial.aspectratio.x,l[h+\".y\"]=v.viewInitial.aspectratio.y,l[h+\".z\"]=v.viewInitial.aspectratio.z,l[d]=v.viewInitial.aspectmode)}S0.call(\"_guiRelayout\",e,l)}_l.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:gft};function lce(e,t){var r=t.currentTarget,n=r._previousVal,i=e._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var d=0;d<3;d++){var v=o[d],m=c+\".\"+v+\".showspikes\";l[m]=!1,s[m]=f[v].showspikes}}r._previousVal=s}return l}function gft(e,t){var r=lce(e,t);S0.call(\"_guiRelayout\",e,r)}_l.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Gl.zoom_plus,click:dN};_l.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(e){return sl(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:Gl.zoom_minus,click:dN};_l.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(e){return sl(e,\"Reset\")},attr:\"reset\",val:null,icon:Gl.autoscale,click:dN};_l.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:cce};function dN(e,t){for(var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o=a._subplots.geo||[],s=0;s<o.length;s++){var l=o[s],u=a[l];if(n===\"zoom\"){var c=u.projection.scale,f=i===\"in\"?2*c:.5*c;S0.call(\"_guiRelayout\",e,l+\".projection.scale\",f)}}n===\"reset\"&&oT(e,\"geo\")}_l.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:Gl.tooltip_basic,gravity:\"ne\",click:cce};function uce(e){var t=e._fullLayout;return t.hovermode?!1:t._has(\"cartesian\")?t._isHoriz?\"y\":\"x\":\"closest\"}function cce(e){var t=uce(e);S0.call(\"_guiRelayout\",e,\"hovermode\",t)}_l.resetViewSankey={name:\"resetSankeyGroup\",title:function(e){return sl(e,\"Reset view\")},icon:Gl.home,click:function(e){for(var t={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<e._fullData.length;r++){var n=e._fullData[r]._viewInitial;t[\"node.groups\"].push(n.node.groups.slice()),t[\"node.x\"].push(n.node.x.slice()),t[\"node.y\"].push(n.node.y.slice())}S0.call(\"restyle\",e,t)}};_l.toggleHover={name:\"toggleHover\",title:function(e){return sl(e,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:Gl.tooltip_basic,gravity:\"ne\",click:function(e,t){var r=lce(e,t);r.hovermode=uce(e),S0.call(\"_guiRelayout\",e,r)}};_l.resetViews={name:\"resetViews\",title:function(e){return sl(e,\"Reset views\")},icon:Gl.home,click:function(e,t){var r=t.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),Bv(e,t),r.setAttribute(\"data-attr\",\"resetLastSave\"),hN(e,t),oT(e,\"geo\"),oT(e,\"mapbox\"),oT(e,\"map\")}};_l.toggleSpikelines={name:\"toggleSpikelines\",title:function(e){return sl(e,\"Toggle Spike Lines\")},icon:Gl.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(e){var t=e._fullLayout,r=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled=r===\"on\"?\"off\":\"on\",S0.call(\"_guiRelayout\",e,mft(e))}};function mft(e){for(var t=e._fullLayout,r=t._cartesianSpikesEnabled===\"on\",n=sce.list(e,null,!0),i={},a=0;a<n.length;a++){var o=n[a];i[o._name+\".showspikes\"]=r?!0:o._showSpikeInitial}return i}_l.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(e){return sl(e,\"Reset view\")},attr:\"reset\",icon:Gl.home,click:function(e){oT(e,\"mapbox\")}};_l.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(e){return sl(e,\"Reset view\")},attr:\"reset\",icon:Gl.home,click:function(e){oT(e,\"map\")}};_l.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:Gl.zoom_plus,click:fce};_l.zoomInMap={name:\"zoomInMap\",_cat:\"zoomin\",title:function(e){return sl(e,\"Zoom 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pce=vN(),yft=Object.keys(pce),gce=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],mce=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(gce),sT=[],_ft=function(e){if(mce.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();sT.indexOf(t)===-1&&sT.push(t),sT.indexOf(r)===-1&&sT.push(r)}};yft.forEach(function(e){_ft(pce[e])});sT.sort();yce.exports={DRAW_MODES:gce,backButtons:mce,foreButtons:sT}});var gN=ye((Mor,_ce)=>{\"use strict\";var Sor=pN();_ce.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var bce=ye((Eor,xce)=>{\"use strict\";var xft=Pr(),CM=ka(),bft=vl(),wft=gN();xce.exports=function(t,r){var n=t.modebar||{},i=bft.newContainer(r,\"modebar\");function a(s,l){return xft.coerce(n,i,wft,s,l)}a(\"orientation\"),a(\"bgcolor\",CM.addOpacity(r.paper_bgcolor,.5));var o=CM.contrast(CM.rgb(r.modebar.bgcolor));a(\"color\",CM.addOpacity(o,.3)),a(\"activecolor\",CM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var Sce=ye((kor,Ace)=>{\"use strict\";var mN=Fa(),Tft=Eo(),_P=Pr(),wce=eP(),Aft=OS().version,Sft=new DOMParser;function Tce(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Cm=Tce.prototype;Cm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this.element.setAttribute(\"role\",\"toolbar\"),this._uid=i,this.element.className=\"modebar modebar--custom\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),_P.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Cm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Cm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Cm.createButton=function(e){var t=this,r=document.createElement(\"button\");r.setAttribute(\"type\",\"button\"),r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&(r.setAttribute(\"data-title\",n),r.setAttribute(\"aria-label\",n)),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&mN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||wce.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Cm.createIcon=function(e){var t=Tft(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=Sft.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Cm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=mN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:_P.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Cm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r<e.length;++r){if(e[r].length!==t[r].length)return!1;for(var n=0;n<e[r].length;n++)if(e[r][n].name!==t[r][n].name)return!1}return!0};function Mft(e){return e+\" (v\"+Aft+\")\"}Cm.getLogo=function(){var e=this.createGroup(),t=document.createElement(\"a\");return t.href=\"https://plotly.com/\",t.target=\"_blank\",t.setAttribute(\"data-title\",Mft(_P._(this.graphInfo,\"Produced with Plotly.js\"))),t.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",t.appendChild(this.createIcon(wce.newplotlylogo)),e.appendChild(t),e};Cm.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1};Cm.destroy=function(){_P.removeElement(this.container.querySelector(\".modebar\"))};function Eft(e,t){var r=e._fullLayout,n=new Tce({graphInfo:e,container:r._modebardiv.node(),buttons:t});return r._privateplot&&mN.select(n.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),n}Ace.exports=Eft});var kce=ye((Cor,Ece)=>{\"use strict\";var kft=df(),Mce=Ru(),yN=Oa(),Cft=ip().isUnifiedHover,Lft=Sce(),xP=vN(),Pft=pN().DRAW_MODES,Ift=Pr().extendDeep;Ece.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=Oft(a):!n.displayModeBar&&n.watermark?o=[]:o=Rft(t),i?i.update(t,o):r._modeBar=Lft(t,o)};function Rft(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,H){if(typeof H==\"string\"){if(H.toLowerCase()===N.toLowerCase())return!0}else{var re=H.name,ae=H._cat||H.name;if(re===N||ae===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var H=0;H<n.modeBarButtonsToRemove.length;H++)if(i(N,n.modeBarButtonsToRemove[H]))return!1;return!0})),l=n.modeBarButtonsToRemove.concat(o.filter(function(N){for(var H=0;H<n.modeBarButtonsToAdd.length;H++)if(i(N,n.modeBarButtonsToAdd[H]))return!1;return!0})),u=t._has(\"cartesian\"),c=t._has(\"gl3d\"),f=t._has(\"geo\"),h=t._has(\"pie\"),d=t._has(\"funnelarea\"),v=t._has(\"ternary\"),m=t._has(\"mapbox\"),b=t._has(\"map\"),p=t._has(\"polar\"),k=t._has(\"smith\"),M=t._has(\"sankey\"),T=Dft(t),L=Cft(t.hovermode),x=[];function C(N){if(N.length){for(var H=[],re=0;re<N.length;re++){for(var ae=N[re],_e=xP[ae],Ee=_e.name.toLowerCase(),Ce=(_e._cat||_e.name).toLowerCase(),ge=!1,ie=0;ie<l.length;ie++){var Se=l[ie].toLowerCase();if(Se===Ee||Se===Ce){ge=!0;break}}ge||H.push(xP[ae])}x.push(H)}}var S=[\"toImage\"];n.showSendToCloud?S.push(\"sendChartToCloud\"):n.showEditInChartStudio&&(console.warn([\"*showEditInChartStudio* is deprecated.\",\"Use *showSendToCloud* instead.\"].join(\" \")),S.push(\"sendChartToCloud\")),C(S);var g=[],P=[],E=[],z=[];(u||h||d||v)+f+c+m+b+p+k>1?(P=[\"toggleHover\"],E=[\"resetViews\"]):f?(g=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],E=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],E=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):m?(g=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],E=[\"resetViewMapbox\"]):b?(g=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],E=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:M?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],E=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(zft(r)||L)&&(P=[]),u&&!T&&(g=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],E[0]!==\"resetViews\"&&(E=[\"resetScale2d\"])),c?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!T||v?z=[\"zoom2d\",\"pan2d\"]:m||b||f?z=[\"pan2d\"]:p&&(z=[\"zoom2d\"]),Fft(r)&&z.push(\"select2d\",\"lasso2d\");var q=[],V=function(N){q.indexOf(N)===-1&&P.indexOf(N)!==-1&&q.push(N)};if(Array.isArray(s)){for(var G=[],Z=0;Z<s.length;Z++){var j=s[Z];typeof j==\"string\"?(j=j.toLowerCase(),Pft.indexOf(j)!==-1?(t._has(\"mapbox\")||t._has(\"map\")||t._has(\"cartesian\"))&&z.push(j):j===\"togglespikelines\"?V(\"toggleSpikelines\"):j===\"togglehover\"?V(\"toggleHover\"):j===\"hovercompare\"?V(\"hoverCompareCartesian\"):j===\"hoverclosest\"?(V(\"hoverClosestCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\")):j===\"v1hovermode\"&&(V(\"hoverClosestCartesian\"),V(\"hoverCompareCartesian\"),V(\"hoverClosestGeo\"),V(\"hoverClosest3d\"),V(\"hoverClosestPie\"))):G.push(j)}s=G}return C(z),C(g.concat(E)),C(q),qft(x,s)}function Dft(e){for(var t=kft.list({_fullLayout:e},null,!0),r=0;r<t.length;r++){var n=t[r].modebardisable;if(!t[r].fixedrange&&n!==\"autoscale+zoominout\"&&n!==\"zoominout+autoscale\")return!1}return!0}function Fft(e){for(var t=!1,r=0;r<e.length&&!t;r++){var n=e[r];!n._module||!n._module.selectPoints||(yN.traceIs(n,\"scatter-like\")?(Mce.hasMarkers(n)||Mce.hasText(n))&&(t=!0):yN.traceIs(n,\"box-violin\")?(n.boxpoints===\"all\"||n.points===\"all\")&&(t=!0):t=!0)}return t}function zft(e){for(var t=0;t<e.length;t++)if(!yN.traceIs(e[t],\"noHover\"))return!1;return!0}function qft(e,t){if(t.length)if(Array.isArray(t[0]))for(var r=0;r<t.length;r++)e.push(t[r]);else e.push(t);return e}function Oft(e){for(var t=Ift([],e),r=0;r<t.length;r++)for(var n=t[r],i=0;i<n.length;i++){var a=n[i];if(typeof a==\"string\")if(xP[a]!==void 0)t[r][i]=xP[a];else throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"))}return t}});var _N=ye((Lor,Cce)=>{\"use strict\";Cce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:gN(),supplyLayoutDefaults:bce(),manage:kce()}});var xN=ye((Por,Lce)=>{\"use strict\";var Bft=Dh().FROM_BL;Lce.exports=function(t,r,n){n===void 0&&(n=Bft[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*n;t.range=t._input.range=[t.l2r(a+(i[0]-a)*r),t.l2r(a+(i[1]-a)*r)],t.setScale()}});var $b=ye(LM=>{\"use strict\";var Jb=Pr(),bN=Mg(),Lg=df().id2name,Nft=Rd(),Pce=xN(),Uft=xm(),Vft=fs().ALMOST_EQUAL,Gft=Dh().FROM_BL;LM.handleDefaults=function(e,t,r){var n=r.axIds,i=r.axHasImage,a=t._axisConstraintGroups=[],o=t._axisMatchGroups=[],s,l,u,c,f,h,d,v;for(s=0;s<n.length;s++)c=Lg(n[s]),f=e[c],h=t[c],Hft(f,h,{axIds:n,layoutOut:t,hasImage:i[c]});function m(S,g){for(s=0;s<S.length;s++){l=S[s];for(u in l)t[Lg(u)][g]=l}}for(m(o,\"_matchGroup\"),s=0;s<a.length;s++){l=a[s];for(u in l)if(h=t[Lg(u)],h.fixedrange){for(var b in l){var p=Lg(b);(e[p]||{}).fixedrange===!1&&Jb.warn(\"fixedrange was specified as false for axis \"+p+\" but was overridden because another axis in its constraint group has fixedrange true\"),t[p].fixedrange=!0}break}}for(s=0;s<a.length;){l=a[s];for(u in l){h=t[Lg(u)],h._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(l).length&&(a.splice(s,1),s--);break}s++}m(a,\"_constraintGroup\");var k=[\"constrain\",\"range\",\"autorange\",\"rangemode\",\"rangebreaks\",\"categoryorder\",\"categoryarray\"],M=!1,T=!1;function L(){v=h[d],d===\"rangebreaks\"&&(T=h._hasDayOfWeekBreaks)}for(s=0;s<o.length;s++){l=o[s];for(var x=0;x<k.length;x++){d=k[x],v=null;var C;for(u in l)if(c=Lg(u),f=e[c],h=t[c],d in h){if(!h.matches&&(C=h,d in f)){L();break}v===null&&d in f&&L()}if(d===\"range\"&&v&&f.range&&f.range.length===2&&f.range[0]!==null&&f.range[1]!==null&&(M=!0),d===\"autorange\"&&v===null&&M&&(v=!1),v===null&&d in C&&(v=C[d]),v!==null)for(u in l)h=t[Lg(u)],h[d]=d===\"range\"?v.slice():v,d===\"rangebreaks\"&&(h._hasDayOfWeekBreaks=T,Uft(h,t))}}};function Hft(e,t,r){var n=r.axIds,i=r.layoutOut,a=r.hasImage,o=i._axisConstraintGroups,s=i._axisMatchGroups,l=t._id,u=l.charAt(0),c=((i._splomAxes||{})[u]||{})[l]||{},f=t._id,h=f.charAt(0)===\"x\";t._matchGroup=null,t._constraintGroup=null;function d(z,q){return Jb.coerce(e,t,Nft,z,q)}d(\"constrain\",a?\"domain\":\"range\"),Jb.coerce(e,t,{constraintoward:{valType:\"enumerated\",values:h?[\"left\",\"center\",\"right\"]:[\"bottom\",\"middle\",\"top\"],dflt:h?\"center\":\"middle\"}},\"constraintoward\");var v=t.type,m,b,p=[];for(m=0;m<n.length;m++)if(b=n[m],b!==f){var k=i[Lg(b)];k.type===v&&p.push(b)}var M=Dce(o,f);if(M){var T=[];for(m=0;m<p.length;m++)b=p[m],M[b]||T.push(b);p=T}var L=p.length,x,C;L&&(e.matches||c.matches)&&(x=Jb.coerce(e,t,{matches:{valType:\"enumerated\",values:p,dflt:p.indexOf(c.matches)!==-1?c.matches:void 0}},\"matches\"));var S=a&&!h?t.anchor:void 0;if(L&&!x&&(e.scaleanchor||S)&&(C=Jb.coerce(e,t,{scaleanchor:{valType:\"enumerated\",values:p.concat([!1])}},\"scaleanchor\",S)),x){t._matchGroup=wN(s,f,x,1);var g=i[Lg(x)],P=Ice(i,t)/Ice(i,g);h!==(x.charAt(0)===\"x\")&&(P=(h?\"x\":\"y\")+P),wN(o,f,x,P)}else e.matches&&n.indexOf(e.matches)!==-1&&Jb.warn(\"ignored \"+t._name+'.matches: \"'+e.matches+'\" to avoid an infinite loop');if(C){var E=d(\"scaleratio\");E||(E=t.scaleratio=1),wN(o,f,C,E)}else e.scaleanchor&&n.indexOf(e.scaleanchor)!==-1&&Jb.warn(\"ignored \"+t._name+'.scaleanchor: \"'+e.scaleanchor+'\" to avoid either an infinite loop and possibly inconsistent scaleratios, or because this axis declares a *matches* constraint.')}function Ice(e,t){var r=t.domain;return r||(r=e[Lg(t.overlaying)].domain),r[1]-r[0]}function Dce(e,t){for(var r=0;r<e.length;r++)if(e[r][t])return e[r];return null}function wN(e,t,r,n){var i,a,o,s,l,u=Dce(e,t);u===null?(u={},u[t]=1,l=e.length,e.push(u)):l=e.indexOf(u);var c=Object.keys(u);for(i=0;i<e.length;i++)if(o=e[i],i!==l&&o[r]){var f=o[r];for(a=0;a<c.length;a++)s=c[a],o[s]=TN(f,TN(n,u[s]));e.splice(l,1);return}if(n!==1)for(a=0;a<c.length;a++){var h=c[a];u[h]=TN(n,u[h])}u[r]=1}function TN(e,t){var r=\"\",n=\"\",i,a;typeof e==\"string\"&&(r=e.match(/^[xy]*/)[0],i=r.length,e=+e.slice(i)),typeof t==\"string\"&&(n=t.match(/^[xy]*/)[0],a=n.length,t=+t.slice(a));var o=e*t;return!i&&!a?o:!i||!a||r.charAt(0)===n.charAt(0)?r+n+e*t:i===a?o:(i>a?r.slice(a):n.slice(i))+o}function jft(e,t){for(var r=t._size,n=r.h/r.w,i={},a=Object.keys(e),o=0;o<a.length;o++){var s=a[o],l=e[s];if(typeof l==\"string\"){var u=l.match(/^[xy]*/)[0],c=u.length;l=+l.slice(c);for(var f=u.charAt(0)===\"y\"?n:1/n,h=0;h<c;h++)l*=f}i[s]=l}return i}LM.enforce=function(t){var r=t._fullLayout,n=r._axisConstraintGroups||[],i,a,o,s,l,u,c,f;for(i=0;i<n.length;i++){o=jft(n[i],r);var h=Object.keys(o),d=1/0,v=0,m=1/0,b={},p={},k=!1;for(a=0;a<h.length;a++)s=h[a],p[s]=l=r[Lg(s)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),b[s]=u=Math.abs(l._m)/o[s],d=Math.min(d,u),(l.constrain===\"domain\"||!l._constraintShrinkable)&&(m=Math.min(m,u)),delete l._constraintShrinkable,v=Math.max(v,u),l.constrain===\"domain\"&&(k=!0);if(!(d>Vft*v&&!k)){for(a=0;a<h.length;a++)if(s=h[a],u=b[s],l=p[s],c=l.constrain,u!==m||c===\"domain\")if(f=u/m,c===\"range\")Pce(l,f);else{var M=l._inputDomain,T=(l.domain[1]-l.domain[0])/(M[1]-M[0]),L=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if(f/=T,f*L<1){l.domain=l._input.domain=M.slice(),Pce(l,f);continue}if(L<1&&(l.range=l._input.range=l._inputRange.slice(),f*=L),l.autorange){var x=l.r2l(l.range[0]),C=l.r2l(l.range[1]),S=(x+C)/2,g=S,P=S,E=Math.abs(C-S),z=S-E*f*1.0001,q=S+E*f*1.0001,V=bN.makePadFn(r,l,0),G=bN.makePadFn(r,l,1);Rce(l,f);var Z=Math.abs(l._m),j=bN.concatExtremes(t,l),N=j.min,H=j.max,re,ae;for(ae=0;ae<N.length;ae++)re=N[ae].val-V(N[ae])/Z,re>z&&re<g&&(g=re);for(ae=0;ae<H.length;ae++)re=H[ae].val+G(H[ae])/Z,re<q&&re>P&&(P=re);var _e=(P-g)/(2*E);f/=_e,g=l.l2r(g),P=l.l2r(P),l.range=l._input.range=x<C?[g,P]:[P,g]}Rce(l,f)}}}};LM.getAxisGroup=function(t,r){for(var n=t._axisMatchGroups,i=0;i<n.length;i++){var a=n[i];if(a[r])return\"g\"+i}return r};LM.clean=function(t,r){if(r._inputDomain){for(var n=!1,i=r._id,a=t._fullLayout._axisConstraintGroups,o=0;o<a.length;o++)if(a[o][i]){n=!0;break}(!n||r.constrain!==\"domain\")&&(r._input.domain=r.domain=r._inputDomain,delete r._inputDomain)}};function Rce(e,t){var r=e._inputDomain,n=Gft[e.constraintoward],i=r[0]+(r[1]-r[0])*n;e.domain=e._input.domain=[i+(r[0]-i)/t,i+(r[1]-i)/t],e.setScale()}});var RM=ye(pd=>{\"use 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ce=Le._lw/2;if(Le._id.charAt(0)===\"x\"){if(me){if(Pe===\"top\")return me._offset-n-ce}else return r.t+r.h*(1-(Le.position||0))+ce%1;return me._offset+me._length+n+ce}if(me){if(Pe===\"right\")return me._offset+me._length+n+ce}else return r.l+r.w*(Le.position||0)+ce%1;return me._offset-n-ce}for(a=0;a<i.length;a++){l=i[a];var h=l._anchorAxis;l._linepositions={},l._lw=lT.crispRound(e,l.linewidth,1),l._mainLinePosition=f(l,h,l.side),l._mainMirrorPosition=l.mirror&&h?f(l,h,zy.OPPOSITE_SIDE[l.side]):null}var d=[],v=[],m=[],b=PM.opacity(t.paper_bgcolor)===1&&PM.opacity(t.plot_bgcolor)===1&&t.paper_bgcolor===t.plot_bgcolor;for(o in t._plots)if(s=t._plots[o],s.mainplot)s.bg&&s.bg.remove(),s.bg=void 0;else{var p=s.xaxis.domain,k=s.yaxis.domain,M=s.plotgroup;if(Kft(p,k,m)&&o.indexOf(Yft)===-1){var T=M.node(),L=s.bg=M0.ensureSingle(M,\"rect\",\"bg\");T.insertBefore(L.node(),T.childNodes[0]),v.push(o)}else M.select(\"rect.bg\").remove(),m.push([p,k]),b||(d.push(o),v.push(o))}var x=t._bgLayer.selectAll(\".bg\").data(d);for(x.enter().append(\"rect\").classed(\"bg\",!0),x.exit().remove(),x.each(function(Le){t._plots[Le].bg=wP.select(this)}),a=0;a<v.length;a++)s=t._plots[v[a]],u=s.xaxis,c=s.yaxis,s.bg&&u._offset!==void 0&&c._offset!==void 0&&s.bg.call(lT.setRect,u._offset-n,c._offset-n,u._length+2*n,c._length+2*n).call(PM.fill,t.plot_bgcolor).style(\"stroke-width\",0);if(!t._hasOnlyLargeSploms)for(o in t._plots){s=t._plots[o],u=s.xaxis,c=s.yaxis;var C=s.clipId=\"clip\"+t._uid+o+\"plot\",S=M0.ensureSingleById(t._clips,\"clipPath\",C,function(Le){Le.classed(\"plotclip\",!0).append(\"rect\")});s.clipRect=S.select(\"rect\").attr({width:u._length,height:c._length}),lT.setTranslate(s.plot,u._offset,c._offset);var g,P;s._hasClipOnAxisFalse?(g=null,P=C):(g=C,P=null),lT.setClipUrl(s.plot,g,e),s.layerClipId=P}var E,z,q,V,G,Z,j,N,H,re,ae,_e,Ee;function Ce(Le){return\"M\"+E+\",\"+Le+\"H\"+z}function ge(Le){return\"M\"+u._offset+\",\"+Le+\"h\"+u._length}function ie(Le){return\"M\"+Le+\",\"+N+\"V\"+j}function Se(Le){return c._shift!==void 0&&(Le+=c._shift),\"M\"+Le+\",\"+c._offset+\"v\"+c._length}function ke(Le,me,Pe){if(!Le.showline||o!==Le._mainSubplot)return\"\";if(!Le._anchorAxis)return Pe(Le._mainLinePosition);var ce=me(Le._mainLinePosition);return Le.mirror&&(ce+=me(Le._mainMirrorPosition)),ce}for(o in t._plots){s=t._plots[o],u=s.xaxis,c=s.yaxis;var be=\"M0,0\";qce(u,o)&&(G=bP(u,\"left\",c,i),E=u._offset-(G?n+G:0),Z=bP(u,\"right\",c,i),z=u._offset+u._length+(Z?n+Z:0),q=f(u,c,\"bottom\"),V=f(u,c,\"top\"),Ee=!u._anchorAxis||o!==u._mainSubplot,Ee&&(u.mirror===\"allticks\"||u.mirror===\"all\")&&(u._linepositions[o]=[q,V]),be=ke(u,Ce,ge),Ee&&u.showline&&(u.mirror===\"all\"||u.mirror===\"allticks\")&&(be+=Ce(q)+Ce(V)),s.xlines.style(\"stroke-width\",u._lw+\"px\").call(PM.stroke,u.showline?u.linecolor:\"rgba(0,0,0,0)\")),s.xlines.attr(\"d\",be);var Be=\"M0,0\";qce(c,o)&&(ae=bP(c,\"bottom\",u,i),j=c._offset+c._length+(ae?n:0),_e=bP(c,\"top\",u,i),N=c._offset-(_e?n:0),H=f(c,u,\"left\"),re=f(c,u,\"right\"),Ee=!c._anchorAxis||o!==c._mainSubplot,Ee&&(c.mirror===\"allticks\"||c.mirror===\"all\")&&(c._linepositions[o]=[H,re]),Be=ke(c,ie,Se),Ee&&c.showline&&(c.mirror===\"all\"||c.mirror===\"allticks\")&&(Be+=ie(H)+ie(re)),s.ylines.style(\"stroke-width\",c._lw+\"px\").call(PM.stroke,c.showline?c.linecolor:\"rgba(0,0,0,0)\")),s.ylines.attr(\"d\",Be)}return IM.makeClipPaths(e),Jp.previousPromises(e)}function qce(e,t){return(e.ticks||e.showline)&&(t===e._mainSubplot||e.mirror===\"all\"||e.mirror===\"allticks\")}function Oce(e,t,r){if(!r.showline||!r._lw)return!1;if(r.mirror===\"all\"||r.mirror===\"allticks\")return!0;var n=r._anchorAxis;if(!n)return!1;var i=zy.FROM_BL[t];return r.side===t?n.domain[i]===e.domain[i]:r.mirror&&n.domain[1-i]===e.domain[1-i]}function bP(e,t,r,n){if(Oce(e,t,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&Oce(e,t,a))return a._lw}return 0}pd.drawMainTitle=function(e){var t=e._fullLayout.title,r=e._fullLayout,n=nht(r),i=aht(r),a=iht(r,i),o=rht(r,n);if(Fce.draw(e,\"gtitle\",{propContainer:r,propName:\"title.text\",subtitlePropName:\"title.subtitle.text\",placeholder:r._dfltTitle.plot,subtitlePlaceholder:r._dfltTitle.subtitle,attributes:{x:o,y:a,\"text-anchor\":n,dy:i}}),t.text&&t.automargin){var s=wP.select(e).selectAll(\".gtitle\"),l=lT.bBox(wP.select(e).selectAll(\".g-gtitle\").node()).height,u=eht(e,t,l);if(u>0){tht(e,a,u,l),s.attr({x:o,y:a,\"text-anchor\":n,dy:Bce(t.yanchor)}).call(AN.positionText,o,a);var c=(t.text.match(AN.BR_TAG_ALL)||[]).length;if(c){var f=zy.LINE_SPACING*c+zy.MID_SHIFT;t.y===0&&(f=-f),s.selectAll(\".line\").each(function(){var b=+this.getAttribute(\"dy\").slice(0,-2)-f+\"em\";this.setAttribute(\"dy\",b)})}var h=wP.select(e).selectAll(\".gtitle-subtitle\");if(h.node()){var d=s.node().getBBox(),v=d.y+d.height,m=v+Fce.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:m,\"text-anchor\":n,dy:Bce(t.yanchor)}).call(AN.positionText,o,m)}}}};function $ft(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=M0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return M0.isTopAnchor(t)&&r===\"t\"||M0.isBottomAnchor(t)&&r===\"b\"?!1:s<i}function Qft(e,t,r,n,i){var a=0;return r===\"middle\"&&(a+=i/2),e===\"t\"?(r===\"top\"&&(a+=i),a+=n-t*n):(r===\"bottom\"&&(a+=i),a+=t*n),a}function eht(e,t,r){var n=t.y,i=t.yanchor,a=n>.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=Qft(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function tht(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&$ft(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function rht(e,t){var r=e.title,n=e._size,i=0;return t===Vce?i=r.pad.l:t===Gce&&(i=-r.pad.r),r.xref===\"paper\"?n.l+n.w*r.x+i:e.width*r.x+i}function iht(e,t){var r=e.title,n=e._size,i=0;return t===\"0em\"||!t?i=-r.pad.b:t===zy.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\"?n.t/2:r.yref===\"paper\"?n.t+n.h-n.h*r.y+i:e.height-e.height*r.y+i}function Bce(e){return e===\"top\"?zy.CAP_SHIFT+.3+\"em\":e===\"bottom\"?\"-0.3em\":zy.MID_SHIFT+\"em\"}function nht(e){var t=e.title,r=Zft;return M0.isRightAnchor(t)?r=Gce:M0.isLeftAnchor(t)&&(r=Vce),r}function aht(e){var t=e.title,r=\"0em\";return M0.isTopAnchor(t)?r=zy.CAP_SHIFT+\"em\":M0.isMiddleAnchor(t)&&(r=zy.MID_SHIFT+\"em\"),r}pd.doTraceStyle=function(e){var t=e.calcdata,r=[],n;for(n=0;n<t.length;n++){var i=t[n],a=i[0]||{},o=a.trace||{},s=o._module||{},l=s.arraysToCalcdata;l&&l(i,o);var u=s.editStyle;u&&r.push({fn:u,cd0:a})}if(r.length){for(n=0;n<r.length;n++){var c=r[n];c.fn(e,c.cd0)}SN(e),pd.redrawReglTraces(e)}return Jp.style(e),Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doColorBars=function(e){return Nv.getComponentMethod(\"colorbar\",\"draw\")(e),Jp.previousPromises(e)};pd.layoutReplot=function(e){var t=e.layout;return e.layout=void 0,Nv.call(\"_doPlot\",e,\"\",t)};pd.doLegend=function(e){return Nv.getComponentMethod(\"legend\",\"draw\")(e),Jp.previousPromises(e)};pd.doTicksRelayout=function(e){return IM.draw(e,\"redraw\"),e._fullLayout._hasOnlyLargeSploms&&(Nv.subplotsRegistry.splom.updateGrid(e),SN(e),pd.redrawReglTraces(e)),pd.drawMainTitle(e),Jp.previousPromises(e)};pd.doModeBar=function(e){var t=e._fullLayout;Nce.manage(e);for(var r=0;r<t._basePlotModules.length;r++){var n=t._basePlotModules[r].updateFx;n&&n(e)}return Jp.previousPromises(e)};pd.doCamera=function(e){for(var t=e._fullLayout,r=t._subplots.gl3d,n=0;n<r.length;n++){var i=t[r[n]],a=i._scene;a.setViewport(i)}};pd.drawData=function(e){var t=e._fullLayout;SN(e);for(var r=t._basePlotModules,n=0;n<r.length;n++)r[n].plot(e);return pd.redrawReglTraces(e),Jp.style(e),Nv.getComponentMethod(\"selections\",\"draw\")(e),Nv.getComponentMethod(\"shapes\",\"draw\")(e),Nv.getComponentMethod(\"annotations\",\"draw\")(e),Nv.getComponentMethod(\"images\",\"draw\")(e),t._replotting=!1,Jp.previousPromises(e)};pd.redrawReglTraces=function(e){var t=e._fullLayout;if(t._has(\"regl\")){var r=e._fullData,n=[],i=[],a,o;for(t._hasOnlyLargeSploms&&t._splomGrid.draw(),a=0;a<r.length;a++){var s=r[a];s.visible===!0&&s._length!==0&&(s.type===\"splom\"?t._splomScenes[s.uid].draw():s.type===\"scattergl\"?M0.pushUnique(n,s.xaxis+s.yaxis):s.type===\"scatterpolargl\"&&M0.pushUnique(i,s.subplot))}for(a=0;a<n.length;a++)o=t._plots[n[a]],o._scene&&o._scene.draw();for(a=0;a<i.length;a++)o=t[i[a]]._subplot,o._scene&&o._scene.draw()}};pd.doAutoRangeAndConstraints=function(e){for(var t=IM.list(e,\"\",!0),r,n={},i=0;i<t.length;i++)if(r=t[i],!n[r._id]){n[r._id]=1,Xft(e,r),zce(e,r);var a=r._matchGroup;if(a)for(var o in a){var s=IM.getFromId(e,o);zce(e,s,r.range),n[o]=1}}Wft(e)};pd.finalDraw=function(e){Nv.getComponentMethod(\"rangeslider\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e)};pd.drawMarginPushers=function(e){Nv.getComponentMethod(\"legend\",\"draw\")(e),Nv.getComponentMethod(\"rangeselector\",\"draw\")(e),Nv.getComponentMethod(\"sliders\",\"draw\")(e),Nv.getComponentMethod(\"updatemenus\",\"draw\")(e),Nv.getComponentMethod(\"colorbar\",\"draw\")(e)}});var kN=ye((Dor,Zce)=>{\"use strict\";var oht=y_().readPaths,sht=cP(),Hce=s_().clearOutlineControllers,MN=ka(),jce=So(),lht=vl().arrayEditor,Wce=b_(),uht=Wce.getPathString;Zce.exports={draw:TP,drawOne:Xce,activateLastSelection:hht};function TP(e){var t=e._fullLayout;Hce(e),t._selectionLayer.selectAll(\"path\").remove();for(var r in t._plots){var n=t._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<t.selections.length;i++)Xce(e,i)}function AP(e){return e._context.editSelection}function Xce(e,t){e._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+t+'\"]').remove();var r=Wce.makeSelectionsOptionsAndPlotinfo(e,t),n=r.options,i=r.plotinfo;if(!n._input)return;a(e._fullLayout._selectionLayer);function a(o){var s=uht(e,n),l={\"data-index\":t,\"fill-rule\":\"evenodd\",d:s},u=n.opacity,c=\"rgba(0,0,0,0)\",f=n.line.color||MN.contrast(e._fullLayout.plot_bgcolor),h=n.line.width,d=n.line.dash;h||(h=5,d=\"solid\");var v=AP(e)&&e._fullLayout._activeSelectionIndex===t;v&&(c=e._fullLayout.activeselection.fillcolor,u=e._fullLayout.activeselection.opacity);for(var m=[],b=1;b>=0;b--){var p=o.append(\"path\").attr(l).style(\"opacity\",b?.1:u).call(MN.stroke,f).call(MN.fill,c).call(jce.dashLine,b?\"solid\":d,b?4+h:h);if(cht(p,e,n),v){var k=lht(e.layout,\"selections\",n);p.style({cursor:\"move\"});var M={element:p.node(),plotinfo:i,gd:e,editHelpers:k,isActiveSelection:!0},T=oht(s,e);sht(T,p,M)}else p.style(\"pointer-events\",b?\"all\":\"none\");m[b]=p}var L=m[0],x=m[1];x.node().addEventListener(\"click\",function(){return fht(e,L)})}}function cht(e,t,r){var n=r.xref+r.yref;jce.setClipUrl(e,\"clip\"+t._fullLayout._uid+n,t)}function fht(e,t){if(AP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeSelectionIndex){EN(e);return}e._fullLayout._activeSelectionIndex=n,e._fullLayout._deactivateSelection=EN,TP(e)}}}function hht(e){if(AP(e)){var t=e._fullLayout.selections.length-1;e._fullLayout._activeSelectionIndex=t,e._fullLayout._deactivateSelection=EN,TP(e)}}function EN(e){if(AP(e)){var t=e._fullLayout._activeSelectionIndex;t>=0&&(Hce(e),delete e._fullLayout._activeSelectionIndex,TP(e))}}});var Kce=ye((For,Yce)=>{function dht(){var e,t=0,r=!1;function n(i,a){return e.list.push({type:i,data:a?JSON.parse(JSON.stringify(a)):void 0}),e}return e={list:[],segmentId:function(){return t++},checkIntersection:function(i,a){return n(\"check\",{seg1:i,seg2:a})},segmentChop:function(i,a){return n(\"div_seg\",{seg:i,pt:a}),n(\"chop\",{seg:i,pt:a})},statusRemove:function(i){return n(\"pop_seg\",{seg:i})},segmentUpdate:function(i){return n(\"seg_update\",{seg:i})},segmentNew:function(i,a){return n(\"new_seg\",{seg:i,primary:a})},segmentRemove:function(i){return n(\"rem_seg\",{seg:i})},tempStatus:function(i,a,o){return n(\"temp_status\",{seg:i,above:a,below:o})},rewind:function(i){return n(\"rewind\",{seg:i})},status:function(i,a,o){return n(\"status\",{seg:i,above:a,below:o})},vert:function(i){return i===r?e:(r=i,n(\"vert\",{x:i}))},log:function(i){return typeof i!=\"string\"&&(i=JSON.stringify(i,!1,\"  \")),n(\"log\",{txt:i})},reset:function(){return n(\"reset\")},selected:function(i){return n(\"selected\",{segs:i})},chainStart:function(i){return n(\"chain_start\",{seg:i})},chainRemoveHead:function(i,a){return n(\"chain_rem_head\",{index:i,pt:a})},chainRemoveTail:function(i,a){return n(\"chain_rem_tail\",{index:i,pt:a})},chainNew:function(i,a){return n(\"chain_new\",{pt1:i,pt2:a})},chainMatch:function(i){return n(\"chain_match\",{index:i})},chainClose:function(i){return n(\"chain_close\",{index:i})},chainAddHead:function(i,a){return n(\"chain_add_head\",{index:i,pt:a})},chainAddTail:function(i,a){return n(\"chain_add_tail\",{index:i,pt:a})},chainConnect:function(i,a){return n(\"chain_con\",{index1:i,index2:a})},chainReverse:function(i){return n(\"chain_rev\",{index:i})},chainJoin:function(i,a){return n(\"chain_join\",{index1:i,index2:a})},done:function(){return n(\"done\")}},e}Yce.exports=dht});var $ce=ye((zor,Jce)=>{function vht(e){typeof e!=\"number\"&&(e=1e-10);var t={epsilon:function(r){return typeof r==\"number\"&&(e=r),e},pointAboveOrOnLine:function(r,n,i){var a=n[0],o=n[1],s=i[0],l=i[1],u=r[0],c=r[1];return(s-a)*(c-o)-(l-o)*(u-a)>=-e},pointBetween:function(r,n,i){var a=r[1]-n[1],o=i[0]-n[0],s=r[0]-n[0],l=i[1]-n[1],u=s*o+a*l;if(u<e)return!1;var c=o*o+l*l;return!(u-c>-e)},pointsSameX:function(r,n){return Math.abs(r[0]-n[0])<e},pointsSameY:function(r,n){return Math.abs(r[1]-n[1])<e},pointsSame:function(r,n){return t.pointsSameX(r,n)&&t.pointsSameY(r,n)},pointsCompare:function(r,n){return t.pointsSameX(r,n)?t.pointsSameY(r,n)?0:r[1]<n[1]?-1:1:r[0]<n[0]?-1:1},pointsCollinear:function(r,n,i){var a=r[0]-n[0],o=r[1]-n[1],s=n[0]-i[0],l=n[1]-i[1];return Math.abs(a*l-s*o)<e},linesIntersect:function(r,n,i,a){var o=n[0]-r[0],s=n[1]-r[1],l=a[0]-i[0],u=a[1]-i[1],c=o*u-s*l;if(Math.abs(c)<e)return!1;var f=r[0]-i[0],h=r[1]-i[1],d=(l*h-u*f)/c,v=(o*h-s*f)/c,m={alongA:0,alongB:0,pt:[r[0]+d*o,r[1]+d*s]};return d<=-e?m.alongA=-2:d<e?m.alongA=-1:d-1<=-e?m.alongA=0:d-1<e?m.alongA=1:m.alongA=2,v<=-e?m.alongB=-2:v<e?m.alongB=-1:v-1<=-e?m.alongB=0:v-1<e?m.alongB=1:m.alongB=2,m},pointInsideRegion:function(r,n){for(var i=r[0],a=r[1],o=n[n.length-1][0],s=n[n.length-1][1],l=!1,u=0;u<n.length;u++){var c=n[u][0],f=n[u][1];f-a>e!=s-a>e&&(o-c)*(a-f)/(s-f)+c-i>e&&(l=!l),o=c,s=f}return l}};return t}Jce.exports=vht});var efe=ye((qor,Qce)=>{var pht={create:function(){var e={root:{root:!0,next:null},exists:function(t){return!(t===null||t===e.root)},isEmpty:function(){return e.root.next===null},getHead:function(){return e.root.next},insertBefore:function(t,r){for(var n=e.root,i=e.root.next;i!==null;){if(r(i)){t.prev=i.prev,t.next=i,i.prev.next=t,i.prev=t;return}n=i,i=i.next}n.next=t,t.prev=n,t.next=null},findTransition:function(t){for(var r=e.root,n=e.root.next;n!==null&&!t(n);)r=n,n=n.next;return{before:r===e.root?null:r,after:n,insert:function(i){return i.prev=r,i.next=n,r.next=i,n!==null&&(n.prev=i),i}}}};return e},node:function(e){return e.prev=null,e.next=null,e.remove=function(){e.prev.next=e.next,e.next&&(e.next.prev=e.prev),e.prev=null,e.next=null},e}};Qce.exports=pht});var rfe=ye((Oor,tfe)=>{var DM=efe();function ght(e,t,r){function n(v,m){return{id:r?r.segmentId():-1,start:v,end:m,myFill:{above:null,below:null},otherFill:null}}function i(v,m,b){return{id:r?r.segmentId():-1,start:v,end:m,myFill:{above:b.myFill.above,below:b.myFill.below},otherFill:null}}var a=DM.create();function o(v,m,b,p,k,M){var T=t.pointsCompare(m,k);return T!==0?T:t.pointsSame(b,M)?0:v!==p?v?1:-1:t.pointAboveOrOnLine(b,p?k:M,p?M:k)?1:-1}function s(v,m){a.insertBefore(v,function(b){var p=o(v.isStart,v.pt,m,b.isStart,b.pt,b.other.pt);return p<0})}function l(v,m){var b=DM.node({isStart:!0,pt:v.start,seg:v,primary:m,other:null,status:null});return s(b,v.end),b}function u(v,m,b){var p=DM.node({isStart:!1,pt:m.end,seg:m,primary:b,other:v,status:null});v.other=p,s(p,v.pt)}function c(v,m){var b=l(v,m);return u(b,v,m),b}function f(v,m){r&&r.segmentChop(v.seg,m),v.other.remove(),v.seg.end=m,v.other.pt=m,s(v.other,v.pt)}function h(v,m){var b=i(m,v.seg.end,v.seg);return f(v,m),c(b,v.primary)}function d(v,m){var b=DM.create();function p(G,Z){var j=G.seg.start,N=G.seg.end,H=Z.seg.start,re=Z.seg.end;return t.pointsCollinear(j,H,re)?t.pointsCollinear(N,H,re)||t.pointAboveOrOnLine(N,H,re)?1:-1:t.pointAboveOrOnLine(j,H,re)?1:-1}function k(G){return b.findTransition(function(Z){var j=p(G,Z.ev);return j>0})}function M(G,Z){var j=G.seg,N=Z.seg,H=j.start,re=j.end,ae=N.start,_e=N.end;r&&r.checkIntersection(j,N);var Ee=t.linesIntersect(H,re,ae,_e);if(Ee===!1){if(!t.pointsCollinear(H,re,ae)||t.pointsSame(H,_e)||t.pointsSame(re,ae))return!1;var Ce=t.pointsSame(H,ae),ge=t.pointsSame(re,_e);if(Ce&&ge)return Z;var ie=!Ce&&t.pointBetween(H,ae,_e),Se=!ge&&t.pointBetween(re,ae,_e);if(Ce)return Se?h(Z,re):h(G,_e),Z;ie&&(ge||(Se?h(Z,re):h(G,_e)),h(Z,H))}else Ee.alongA===0&&(Ee.alongB===-1?h(G,ae):Ee.alongB===0?h(G,Ee.pt):Ee.alongB===1&&h(G,_e)),Ee.alongB===0&&(Ee.alongA===-1?h(Z,H):Ee.alongA===0?h(Z,Ee.pt):Ee.alongA===1&&h(Z,re));return!1}for(var T=[];!a.isEmpty();){var L=a.getHead();if(r&&r.vert(L.pt[0]),L.isStart){let G=function(){if(C){var Z=M(L,C);if(Z)return Z}return S?M(L,S):!1};var V=G;r&&r.segmentNew(L.seg,L.primary);var x=k(L),C=x.before?x.before.ev:null,S=x.after?x.after.ev:null;r&&r.tempStatus(L.seg,C?C.seg:!1,S?S.seg:!1);var g=G();if(g){if(e){var P;L.seg.myFill.below===null?P=!0:P=L.seg.myFill.above!==L.seg.myFill.below,P&&(g.seg.myFill.above=!g.seg.myFill.above)}else g.seg.otherFill=L.seg.myFill;r&&r.segmentUpdate(g.seg),L.other.remove(),L.remove()}if(a.getHead()!==L){r&&r.rewind(L.seg);continue}if(e){var P;L.seg.myFill.below===null?P=!0:P=L.seg.myFill.above!==L.seg.myFill.below,S?L.seg.myFill.below=S.seg.myFill.above:L.seg.myFill.below=v,P?L.seg.myFill.above=!L.seg.myFill.below:L.seg.myFill.above=L.seg.myFill.below}else if(L.seg.otherFill===null){var E;S?L.primary===S.primary?E=S.seg.otherFill.above:E=S.seg.myFill.above:E=L.primary?m:v,L.seg.otherFill={above:E,below:E}}r&&r.status(L.seg,C?C.seg:!1,S?S.seg:!1),L.other.status=x.insert(DM.node({ev:L}))}else{var z=L.status;if(z===null)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(b.exists(z.prev)&&b.exists(z.next)&&M(z.prev.ev,z.next.ev),r&&r.statusRemove(z.ev.seg),z.remove(),!L.primary){var q=L.seg.myFill;L.seg.myFill=L.seg.otherFill,L.seg.otherFill=q}T.push(L.seg)}a.getHead().remove()}return r&&r.done(),T}return e?{addRegion:function(v){for(var m,b=v[v.length-1],p=0;p<v.length;p++){m=b,b=v[p];var k=t.pointsCompare(m,b);k!==0&&c(n(k<0?m:b,k<0?b:m),!0)}},calculate:function(v){return d(v,!1)}}:{calculate:function(v,m,b,p){return v.forEach(function(k){c(i(k.start,k.end,k),!0)}),b.forEach(function(k){c(i(k.start,k.end,k),!1)}),d(m,p)}}}tfe.exports=ght});var nfe=ye((Bor,ife)=>{function mht(e,t,r){var n=[],i=[];return e.forEach(function(a){var o=a.start,s=a.end;if(t.pointsSame(o,s)){console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");return}r&&r.chainStart(a);var l={index:0,matches_head:!1,matches_pt1:!1},u={index:0,matches_head:!1,matches_pt1:!1},c=l;function f(V,G,Z){return c.index=V,c.matches_head=G,c.matches_pt1=Z,c===l?(c=u,!1):(c=null,!0)}for(var h=0;h<n.length;h++){var d=n[h],v=d[0],m=d[1],b=d[d.length-1],p=d[d.length-2];if(t.pointsSame(v,o)){if(f(h,!0,!0))break}else if(t.pointsSame(v,s)){if(f(h,!0,!1))break}else if(t.pointsSame(b,o)){if(f(h,!1,!0))break}else if(t.pointsSame(b,s)&&f(h,!1,!1))break}if(c===l){n.push([o,s]),r&&r.chainNew(o,s);return}if(c===u){r&&r.chainMatch(l.index);var k=l.index,M=l.matches_pt1?s:o,T=l.matches_head,d=n[k],L=T?d[0]:d[d.length-1],x=T?d[1]:d[d.length-2],C=T?d[d.length-1]:d[0],S=T?d[d.length-2]:d[1];if(t.pointsCollinear(x,L,M)&&(T?(r&&r.chainRemoveHead(l.index,M),d.shift()):(r&&r.chainRemoveTail(l.index,M),d.pop()),L=x),t.pointsSame(C,M)){n.splice(k,1),t.pointsCollinear(S,C,L)&&(T?(r&&r.chainRemoveTail(l.index,L),d.pop()):(r&&r.chainRemoveHead(l.index,L),d.shift())),r&&r.chainClose(l.index),i.push(d);return}T?(r&&r.chainAddHead(l.index,M),d.unshift(M)):(r&&r.chainAddTail(l.index,M),d.push(M));return}function g(V){r&&r.chainReverse(V),n[V].reverse()}function P(V,G){var Z=n[V],j=n[G],N=Z[Z.length-1],H=Z[Z.length-2],re=j[0],ae=j[1];t.pointsCollinear(H,N,re)&&(r&&r.chainRemoveTail(V,N),Z.pop(),N=H),t.pointsCollinear(N,re,ae)&&(r&&r.chainRemoveHead(G,re),j.shift()),r&&r.chainJoin(V,G),n[V]=Z.concat(j),n.splice(G,1)}var E=l.index,z=u.index;r&&r.chainConnect(E,z);var q=n[E].length<n[z].length;l.matches_head?u.matches_head?q?(g(E),P(E,z)):(g(z),P(z,E)):P(z,E):u.matches_head?P(E,z):q?(g(E),P(z,E)):(g(z),P(E,z))}),i}ife.exports=mht});var ofe=ye((Nor,afe)=>{function FM(e,t,r){var n=[];return e.forEach(function(i){var a=(i.myFill.above?8:0)+(i.myFill.below?4:0)+(i.otherFill&&i.otherFill.above?2:0)+(i.otherFill&&i.otherFill.below?1:0);t[a]!==0&&n.push({id:r?r.segmentId():-1,start:i.start,end:i.end,myFill:{above:t[a]===1,below:t[a]===2},otherFill:null})}),r&&r.selected(n),n}var yht={union:function(e,t){return FM(e,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],t)},intersect:function(e,t){return FM(e,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],t)},difference:function(e,t){return FM(e,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],t)},differenceRev:function(e,t){return FM(e,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],t)},xor:function(e,t){return FM(e,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],t)}};afe.exports=yht});var lfe=ye((Uor,sfe)=>{var _ht={toPolygon:function(e,t){function r(a){if(a.length<=0)return e.segments({inverted:!1,regions:[]});function o(u){var c=u.slice(0,u.length-1);return e.segments({inverted:!1,regions:[c]})}for(var s=o(a[0]),l=1;l<a.length;l++)s=e.selectDifference(e.combine(s,o(a[l])));return s}if(t.type===\"Polygon\")return e.polygon(r(t.coordinates));if(t.type===\"MultiPolygon\"){for(var n=e.segments({inverted:!1,regions:[]}),i=0;i<t.coordinates.length;i++)n=e.selectUnion(e.combine(n,r(t.coordinates[i])));return e.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(e,t,r){r=e.polygon(e.segments(r));function n(d,v){return t.pointInsideRegion([(d[0][0]+d[1][0])*.5,(d[0][1]+d[1][1])*.5],v)}function i(d){return{region:d,children:[]}}var a=i(null);function o(d,v){for(var m=0;m<d.children.length;m++){var b=d.children[m];if(n(v,b.region)){o(b,v);return}}for(var p=i(v),m=0;m<d.children.length;m++){var b=d.children[m];n(b.region,v)&&(p.children.push(b),d.children.splice(m,1),m--)}d.children.push(p)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(d,v){for(var m=0,b=d[d.length-1][0],p=d[d.length-1][1],k=[],M=0;M<d.length;M++){var T=d[M][0],L=d[M][1];k.push([T,L]),m+=L*b-T*p,b=T,p=L}var x=m<0;return x!==v&&k.reverse(),k.push([k[0][0],k[0][1]]),k}var c=[];function f(d){var v=[u(d.region,!1)];c.push(v);for(var m=0;m<d.children.length;m++)v.push(h(d.children[m]))}function h(d){for(var v=0;v<d.children.length;v++)f(d.children[v]);return u(d.region,!0)}for(var s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:c.length==1?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};sfe.exports=_ht});var hfe=ye((Vor,ffe)=>{var xht=Kce(),bht=$ce(),ufe=rfe(),wht=nfe(),zM=ofe(),cfe=lfe(),E0=!1,qM=bht(),kp;kp={buildLog:function(e){return e===!0?E0=xht():e===!1&&(E0=!1),E0===!1?!1:E0.list},epsilon:function(e){return qM.epsilon(e)},segments:function(e){var t=ufe(!0,qM,E0);return e.regions.forEach(t.addRegion),{segments:t.calculate(e.inverted),inverted:e.inverted}},combine:function(e,t){var r=ufe(!1,qM,E0);return{combined:r.calculate(e.segments,e.inverted,t.segments,t.inverted),inverted1:e.inverted,inverted2:t.inverted}},selectUnion:function(e){return{segments:zM.union(e.combined,E0),inverted:e.inverted1||e.inverted2}},selectIntersect:function(e){return{segments:zM.intersect(e.combined,E0),inverted:e.inverted1&&e.inverted2}},selectDifference:function(e){return{segments:zM.difference(e.combined,E0),inverted:e.inverted1&&!e.inverted2}},selectDifferenceRev:function(e){return{segments:zM.differenceRev(e.combined,E0),inverted:!e.inverted1&&e.inverted2}},selectXor:function(e){return{segments:zM.xor(e.combined,E0),inverted:e.inverted1!==e.inverted2}},polygon:function(e){return{regions:wht(e.segments,qM,E0),inverted:e.inverted}},polygonFromGeoJSON:function(e){return cfe.toPolygon(kp,e)},polygonToGeoJSON:function(e){return cfe.fromPolygon(kp,qM,e)},union:function(e,t){return OM(e,t,kp.selectUnion)},intersect:function(e,t){return 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t=[],r=PN(e[0])?0:e[0][0][0],n=r,i=PN(e[0])?0:e[0][0][1],a=i,o=0;o<e.length;o++)if(PN(e[o]))t.push(Uht(e[o]));else{var s=FN(e[o]);s.subtract=!!e[o].subtract,t.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}function l(u,c,f,h){for(var d=!1,v=0;v<t.length;v++)t[v].contains(u,c,f,h)&&(d=!t[v].subtract);return d}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:l,isRect:!1,degenerate:!1}}function Lfe(e,t,r){var n=t._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(e.shiftKey||e.altKey)&&!(GM(a)&&RN(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):(!s||!i.selection)&&HM(r),o||(Mfe(t),n._lastSelectedSubplot=i.id)}function Vht(e){return e._fullLayout._activeShapeIndex>=0}function Ght(e){return e._fullLayout._activeSelectionIndex>=0}function HM(e,t){var r=e.dragmode,n=e.plotinfo,i=e.gd;Vht(i)&&i._fullLayout._deactivateShape(i),Ght(i)&&i._fullLayout._deactivateSelection(i);var a=i._fullLayout,o=a._zoomlayer,s=GM(r),l=DN(r);if(s||l){var u=o.selectAll(\".select-outline-\"+n.id);if(u&&i._fullLayout._outlining){var c;s&&(c=Lht(u,e)),c&&VM.call(\"_guiRelayout\",i,{shapes:c});var f;l&&!qN(e)&&(f=Pht(u,e)),f&&(i._fullLayout._noEmitSelectedAtStart=!0,VM.call(\"_guiRelayout\",i,{selections:f}).then(function(){t&&Iht(i)})),i._fullLayout._outlining=!1}}n.selection={},n.selection.selectionDefs=e.selectionDefs=[],n.selection.mergedPolygons=e.mergedPolygons=[]}function wfe(e){return e._id}function LP(e,t,r,n){if(!e.calcdata)return[];var i=[],a=t.map(wfe),o=r.map(wfe),s,l,u;for(u=0;u<e.calcdata.length;u++)if(s=e.calcdata[u],l=s[0].trace,!(l.visible!==!0||!l._module||!l._module.selectPoints))if(qN({subplot:n})&&(l.subplot===n||l.geo===n))i.push(EP(l._module,s,t[0],r[0]));else if(l.type===\"splom\"){if(l._xaxes[a[0]]&&l._yaxes[o[0]]){var c=EP(l._module,s,t[0],r[0]);c.scene=e._fullLayout._splomScenes[l.uid],i.push(c)}}else if(l.type===\"sankey\"){var f=EP(l._module,s,t[0],r[0]);i.push(f)}else{if(a.indexOf(l.xaxis)===-1&&(!l._xA||!l._xA.overlaying)||o.indexOf(l.yaxis)===-1&&(!l._yA||!l._yA.overlaying))continue;i.push(EP(l._module,s,k0(e,l.xaxis),k0(e,l.yaxis)))}return i}function EP(e,t,r,n){return{_module:e,cd:t,xaxis:r,yaxis:n}}function Hht(e){return e&&Array.isArray(e)&&e[0].hoverOnBox!==!0}function jht(e,t){var r=e[0],n=-1,i=[],a,o;for(o=0;o<t.length;o++)if(a=t[o],r.fullData.index===a.cd[0].trace.index){if(r.hoverOnBox===!0)break;r.pointNumber!==void 0?n=r.pointNumber:r.binNumber!==void 0&&(n=r.binNumber,i=r.pointNumbers);break}return{pointNumber:n,pointNumbers:i,searchInfo:a}}function Tfe(e){var t=e.searchInfo.cd[0].trace,r=e.pointNumber,n=e.pointNumbers,i=n.length>0,a=i?n[0]:r;return t.selectedpoints?t.selectedpoints.indexOf(a)>-1:!1}function Wht(e,t){var 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nhe=Pr(),RP=ho(),hdt=Kd(),ddt=VN(),ahe=b_();ohe.exports=function(t,r){hdt(t,r,{name:\"selections\",handleItemDefaults:vdt});for(var n=r.selections,i=0;i<n.length;i++){var a=n[i];a&&a.path===void 0&&(a.x0===void 0||a.x1===void 0||a.y0===void 0||a.y1===void 0)&&(r.selections[i]=null)}};function vdt(e,t,r){function n(x,C){return nhe.coerce(e,t,ddt,x,C)}var i=n(\"path\"),a=i?\"path\":\"rect\",o=n(\"type\",a),s=o!==\"path\";s&&delete t.path,n(\"opacity\"),n(\"line.color\"),n(\"line.width\"),n(\"line.dash\");for(var l=[\"x\",\"y\"],u=0;u<2;u++){var c=l[u],f={_fullLayout:r},h,d,v,m=RP.coerceRef(e,t,f,c);if(h=RP.getFromId(f,m),h._selectionIndices.push(t._index),v=ahe.rangeToShapePosition(h),d=ahe.shapePositionToRange(h),s){var b=c+\"0\",p=c+\"1\",k=e[b],M=e[p];e[b]=d(e[b],!0),e[p]=d(e[p],!0),RP.coercePosition(t,f,n,m,b),RP.coercePosition(t,f,n,m,p);var T=t[b],L=t[p];T!==void 0&&L!==void 0&&(t[b]=v(T),t[p]=v(L),e[b]=k,e[p]=M)}}s&&nhe.noneOrAll(e,t,[\"x0\",\"x1\",\"y0\",\"y1\"])}});var uhe=ye((isr,lhe)=>{\"use strict\";lhe.exports=function(t,r,n){n(\"newselection.mode\");var i=n(\"newselection.line.width\");i&&(n(\"newselection.line.color\"),n(\"newselection.line.dash\")),n(\"activeselection.fillcolor\"),n(\"activeselection.opacity\")}});var KM=ye((nsr,hhe)=>{\"use strict\";var pdt=Oa(),che=Pr(),fhe=df();hhe.exports=function(t){return function(n,i){var a=n[t];if(Array.isArray(a))for(var o=pdt.subplotsRegistry.cartesian,s=o.idRegex,l=i._subplots,u=l.xaxis,c=l.yaxis,f=l.cartesian,h=i._has(\"cartesian\"),d=0;d<a.length;d++){var v=a[d];if(che.isPlainObject(v)){var m=fhe.cleanId(v.xref,\"x\",!1),b=fhe.cleanId(v.yref,\"y\",!1),p=s.x.test(m),k=s.y.test(b);if(p||k){h||che.pushUnique(i._basePlotModules,o);var M=!1;p&&u.indexOf(m)===-1&&(u.push(m),M=!0),k&&c.indexOf(b)===-1&&(c.push(b),M=!0),M&&p&&k&&f.push(m+b)}}}}}});var qf=ye((asr,vhe)=>{\"use strict\";var 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c=s._mainLinePosition;s.side===\"top\"&&(c-=gd),Ig(t,o,s._offset+s._length*.1,c,s._length*.8,gd,\"\",\"ew\"),Ig(t,o,s._offset,c,s._length*.1,gd,\"\",\"w\"),Ig(t,o,s._offset+s._length*.9,c,s._length*.1,gd,\"\",\"e\")}if(a===l._mainSubplot){var f=l._mainLinePosition;l.side!==\"right\"&&(f-=gd),Ig(t,o,f,l._offset+l._length*.1,gd,l._length*.8,\"ns\",\"\"),Ig(t,o,f,l._offset+l._length*.9,gd,l._length*.1,\"s\",\"\"),Ig(t,o,f,l._offset,gd,l._length*.1,\"n\",\"\")}}});var i=r._hoverlayer.node();i.onmousemove=function(a){a.target=t._fullLayout._lasthover,qP.hover(t,a,r._hoversubplot)},i.onclick=function(a){a.target=t._fullLayout._lasthover,qP.click(t,a)},i.onmousedown=function(a){t._fullLayout._lasthover.onmousedown(a)},OP.updateFx(t)}};OP.updateFx=function(e){var t=e._fullLayout,r=t.dragmode===\"pan\"?\"move\":\"crosshair\";Odt(t._draggers,r)}});var qhe=ye((lsr,zhe)=>{\"use strict\";var Fhe=Oa();zhe.exports=function(t){for(var r=Fhe.layoutArrayContainers,n=Fhe.layoutArrayRegexes,i=t.split(\"[\")[0],a,o,s=0;s<n.length;s++)if(o=t.match(n[s]),o&&o.index===0){a=o[0];break}if(a||(a=r[r.indexOf(i)]),!a)return!1;var l=t.slice(a.length);return l?(o=l.match(/^\\[(0|[1-9][0-9]*)\\](\\.(.+))?$/),o?{array:a,index:Number(o[1]),property:o[3]||\"\"}:!1):{array:a,index:\"\",property:\"\"}}});var Bhe=ye(QM=>{\"use strict\";var Bdt=Sy(),JN=I6(),$M=J1(),Ndt=G6().sorterAsc,$N=Oa();QM.containerArrayMatch=qhe();var Udt=QM.isAddVal=function(t){return t===\"add\"||Bdt(t)},Ohe=QM.isRemoveVal=function(t){return t===null||t===\"remove\"};QM.applyContainerArrayChanges=function(t,r,n,i,a){var o=r.astr,s=$N.getComponentMethod(o,\"supplyLayoutDefaults\"),l=$N.getComponentMethod(o,\"draw\"),u=$N.getComponentMethod(o,\"drawOne\"),c=i.replot||i.recalc||s===JN||l===JN,f=t.layout,h=t._fullLayout;if(n[\"\"]){Object.keys(n).length>1&&$M.warn(\"Full array edits are incompatible with other edits\",o);var d=n[\"\"][\"\"];if(Ohe(d))r.set(null);else 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q;if(M===-1)q=v;else{for(T=Math.max(b.length,T),q=[],L=0;L<v.length&&(C=v[L],!(C>=M));L++)q.push(C);for(L=M;L<T;L++)q.push(L)}for(L=0;L<q.length;L++)u(t,q[L])}else l(t);return!0}});var Xhe=ye(L0=>{\"use strict\";var Ghe=Eo(),Hhe=Oa(),Uv=Pr(),e4=Mc(),jhe=df(),Whe=ka(),t4=jhe.cleanId,Vdt=jhe.getFromTrace,QN=Hhe.traceIs,Gdt=[\"x\",\"y\",\"z\"];L0.clearPromiseQueue=function(e){Array.isArray(e._promises)&&e._promises.length>0&&Uv.log(\"Clearing previous rejected promises from queue.\"),e._promises=[]};L0.cleanLayout=function(e){var t,r;e||(e={}),e.xaxis1&&(e.xaxis||(e.xaxis=e.xaxis1),delete e.xaxis1),e.yaxis1&&(e.yaxis||(e.yaxis=e.yaxis1),delete e.yaxis1),e.scene1&&(e.scene||(e.scene=e.scene1),delete e.scene1);var n=(e4.subplotsRegistry.cartesian||{}).attrRegex,i=(e4.subplotsRegistry.polar||{}).attrRegex,a=(e4.subplotsRegistry.ternary||{}).attrRegex,o=(e4.subplotsRegistry.gl3d||{}).attrRegex,s=Object.keys(e);for(t=0;t<s.length;t++){var l=s[t];if(n&&n.test(l)){var u=e[l];u.anchor&&u.anchor!==\"free\"&&(u.anchor=t4(u.anchor)),u.overlaying&&(u.overlaying=t4(u.overlaying)),u.type||(u.isdate?u.type=\"date\":u.islog?u.type=\"log\":u.isdate===!1&&u.islog===!1&&(u.type=\"linear\")),(u.autorange===\"withzero\"||u.autorange===\"tozero\")&&(u.autorange=!0,u.rangemode=\"tozero\"),u.insiderange&&delete u.range,delete u.islog,delete u.isdate,delete u.categories,BP(u,\"domain\")&&delete u.domain}}var c=Array.isArray(e.annotations)?e.annotations.length:0;for(t=0;t<c;t++){var f=e.annotations[t];Uv.isPlainObject(f)&&(uT(f,\"xref\"),uT(f,\"yref\"))}var h=Array.isArray(e.shapes)?e.shapes.length:0;for(t=0;t<h;t++){var d=e.shapes[t];Uv.isPlainObject(d)&&(uT(d,\"xref\",!0),uT(d,\"yref\",!0))}var v=Array.isArray(e.images)?e.images.length:0;for(t=0;t<v;t++){var m=e.images[t];Uv.isPlainObject(m)&&(uT(m,\"xref\"),uT(m,\"yref\"))}var b=e.legend;return b&&(b.x>3?(b.x=1.02,b.xanchor=\"left\"):b.x<-2&&(b.x=-.02,b.xanchor=\"right\"),b.y>3?(b.y=1.02,b.yanchor=\"bottom\"):b.y<-2&&(b.y=-.02,b.yanchor=\"top\")),e.dragmode===\"rotate\"&&(e.dragmode=\"orbit\"),Whe.clean(e),e.template&&e.template.layout&&L0.cleanLayout(e.template.layout),e};function uT(e,t,r=!1){var n=e[t],i=t.charAt(0);r&&Array.isArray(n)||n&&n!==\"paper\"&&(e[t]=t4(n,i,!0))}L0.cleanData=function(e){for(var t=0;t<e.length;t++){var r=e[t],n;if(r.type===\"histogramy\"&&\"xbins\"in r&&!(\"ybins\"in r)&&(r.ybins=r.xbins,delete r.xbins),r.type===\"histogramy\"&&L0.swapXYData(r),(r.type===\"histogramx\"||r.type===\"histogramy\")&&(r.type=\"histogram\"),\"scl\"in r&&!(\"colorscale\"in r)&&(r.colorscale=r.scl,delete r.scl),\"reversescl\"in r&&!(\"reversescale\"in r)&&(r.reversescale=r.reversescl,delete 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n=[],i=xl.deleteTraces,a=ode,o=[e,n],s=[e,t],l,u;for(ovt(e,t,r),Array.isArray(t)||(t=[t]),t=t.map(function(c){return Sa.extendFlat({},c)}),gh.cleanData(t),l=0;l<t.length;l++)e.data.push(t[l]);for(l=0;l<t.length;l++)n.push(-t.length+l);if(typeof r==\"undefined\")return u=xl.redraw(e),op.add(e,i,o,a,s),u;Array.isArray(r)||(r=[r]);try{tde(e,n,r)}catch(c){throw e.data.splice(e.data.length-t.length,t.length),c}return op.startSequence(e),op.add(e,i,o,a,s),u=xl.moveTraces(e,n,r),op.stopSequence(e),u}function sde(e,t){e=Sa.getGraphDiv(e);var r=[],n=xl.addTraces,i=sde,a=[e,r,t],o=[e,t],s,l;if(typeof t==\"undefined\")throw new Error(\"indices must be an integer or array of integers.\");for(Array.isArray(t)||(t=[t]),HP(e,t,\"indices\"),t=GP(t,e.data.length-1),t.sort(Sa.sorterDes),s=0;s<t.length;s+=1)l=e.data.splice(t[s],1)[0],r.push(l);var u=xl.redraw(e);return op.add(e,n,a,i,o),u}function nU(e,t,r){e=Sa.getGraphDiv(e);var n=[],i=[],a=nU,o=nU,s=[e,r,t],l=[e,t,r],u;if(tde(e,t,r),t=Array.isArray(t)?t:[t],typeof r==\"undefined\")for(r=[],u=0;u<t.length;u++)r.push(-t.length+u);for(r=Array.isArray(r)?r:[r],t=GP(t,e.data.length-1),r=GP(r,e.data.length-1),u=0;u<e.data.length;u++)t.indexOf(u)===-1&&n.push(e.data[u]);for(u=0;u<t.length;u++)i.push({newIndex:r[u],trace:e.data[t[u]]});for(i.sort(function(f,h){return f.newIndex-h.newIndex}),u=0;u<i.length;u+=1)n.splice(i[u].newIndex,0,i[u].trace);e.data=n;var c=xl.redraw(e);return op.add(e,a,s,o,l),c}function jP(e,t,r,n){e=Sa.getGraphDiv(e),gh.clearPromiseQueue(e);var i={};if(typeof t==\"string\")i[t]=r;else if(Sa.isPlainObject(t))i=Sa.extendFlat({},t),n===void 0&&(n=r);else return Sa.warn(\"Restyle fail.\",t,r,n),Promise.reject();Object.keys(i).length&&(e.changed=!0);var a=gh.coerceTraceIndices(e,n),o=lde(e,i,a),s=o.flags;s.calc&&(e.calcdata=void 0),s.clearAxisTypes&&gh.clearAxisTypes(e,a,{});var 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o=[Qo.previousPromises];a.layoutReplot?o.push(Au.layoutReplot):Object.keys(n).length&&(ude(e,a,i)||Qo.supplyDefaults(e),a.legend&&o.push(Au.doLegend),a.layoutstyle&&o.push(Au.layoutStyles),a.axrange&&KP(o,i.rangesAltered),a.ticks&&o.push(Au.doTicksRelayout),a.modebar&&o.push(Au.doModeBar),a.camera&&o.push(Au.doCamera),a.colorbars&&o.push(Au.doColorBars),o.push(i4)),o.push(Qo.rehover,Qo.redrag,Qo.reselect),op.add(e,r4,[e,i.undoit],r4,[e,i.redoit]);var s=Sa.syncOrAsync(o,e);return(!s||!s.then)&&(s=Promise.resolve(e)),s.then(function(){return e.emit(\"plotly_relayout\",i.eventData),e})}function ude(e,t,r){var n=e._fullLayout;if(!t.axrange)return!1;for(var i in t)if(i!==\"axrange\"&&t[i])return!1;var a,o,s=function(d,v){return Sa.coerce(a,o,Ydt,d,v)},l={};for(var u in r.rangesAltered){var c=Vv.id2name(u);if(a=e.layout[c],o=n[c],Zdt(a,o,s,l),o._matchGroup){for(var f in o._matchGroup)if(f!==u){var 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be=ke.property,Be=N||{editType:\"calc\"};f!==\"\"&&be===\"\"&&(NP.isAddVal(g)?k[C]=null:NP.isRemoveVal(g)?k[C]=(Ec(r,c).get()||[])[f]:Sa.warn(\"unrecognized full object value\",t)),A_.update(b,Be),u[c]||(u[c]={});var Le=u[c][f];Le||(Le=u[c][f]={}),Le[be]=g,delete t[C]}else z===\"reverse\"?(G.range?G.range.reverse():(M(V+\".autorange\",!0),G.range=[1,0]),Z.autorange?b.calc=!0:b.plot=!0):(C===\"dragmode\"&&(g===!1&&j!==!1||g!==!1&&j===!1)||n._has(\"scatter-like\")&&n._has(\"regl\")&&C===\"dragmode\"&&(g===\"lasso\"||g===\"select\")&&!(j===\"lasso\"||j===\"select\")?b.plot=!0:N?A_.update(b,N):b.calc=!0,S.set(g))}}for(c in u){var me=NP.applyContainerArrayChanges(e,a(r,c),u[c],b,a);me||(b.plot=!0)}for(var Pe in T){L=Vv.getFromId(e,Pe);var ce=L&&L._constraintGroup;if(ce){b.calc=!0;for(var He in ce)T[He]||(Vv.getFromId(e,He)._constraintShrinkable=!0)}}(dde(e)||t.height||t.width)&&(b.plot=!0);var lt=n.shapes;for(f=0;f<lt.length;f++)if(lt[f].showlegend){b.calc=!0;break}return(b.plot||b.calc)&&(b.layoutReplot=!0),{flags:b,rangesAltered:T,undoit:k,redoit:p,eventData:l}}function dde(e){var t=e._fullLayout,r=t.width,n=t.height;return e.layout.autosize&&Qo.plotAutoSize(e,e.layout,t),t.width!==r||t.height!==n}function XP(e,t,r,n){e=Sa.getGraphDiv(e),gh.clearPromiseQueue(e),Sa.isPlainObject(t)||(t={}),Sa.isPlainObject(r)||(r={}),Object.keys(t).length&&(e.changed=!0),Object.keys(r).length&&(e.changed=!0);var i=gh.coerceTraceIndices(e,n),a=lde(e,Sa.extendFlat({},t),i),o=a.flags,s=hde(e,Sa.extendFlat({},r)),l=s.flags;(o.calc||l.calc)&&(e.calcdata=void 0),o.clearAxisTypes&&gh.clearAxisTypes(e,i,r);var u=[];l.layoutReplot?u.push(Au.layoutReplot):o.fullReplot?u.push(xl._doPlot):(u.push(Qo.previousPromises),ude(e,l,s)||Qo.supplyDefaults(e),o.style&&u.push(Au.doTraceStyle),(o.colorbars||l.colorbars)&&u.push(Au.doColorBars),l.legend&&u.push(Au.doLegend),l.layoutstyle&&u.push(Au.layoutStyles),l.axrange&&KP(u,s.rangesAltered),l.ticks&&u.push(Au.doTicksRelayout),l.modebar&&u.push(Au.doModeBar),l.camera&&u.push(Au.doCamera),u.push(i4)),u.push(Qo.rehover,Qo.redrag,Qo.reselect),op.add(e,XP,[e,a.undoit,s.undoit,a.traces],XP,[e,a.redoit,s.redoit,a.traces]);var c=Sa.syncOrAsync(u,e);return(!c||!c.then)&&(c=Promise.resolve(e)),c.then(function(){return e.emit(\"plotly_update\",{data:a.eventData,layout:s.eventData}),e})}function aU(e){return function(r){r._fullLayout._guiEditing=!0;var n=e.apply(null,arguments);return r._fullLayout._guiEditing=!1,n}}var fvt=[{pattern:/^hiddenlabels/,attr:\"legend.uirevision\"},{pattern:/^((x|y)axis\\d*)\\.((auto)?range|title\\.text)/},{pattern:/axis\\d*\\.showspikes$/,attr:\"modebar.uirevision\"},{pattern:/(hover|drag)mode$/,attr:\"modebar.uirevision\"},{pattern:/^(scene\\d*)\\.camera/},{pattern:/^(geo\\d*)\\.(projection|center|fitbounds)/},{pattern:/^(ternary\\d*\\.[abc]axis)\\.(min|title\\.text)$/},{pattern:/^(polar\\d*\\.radialaxis)\\.((auto)?range|angle|title\\.text)/},{pattern:/^(polar\\d*\\.angularaxis)\\.rotation/},{pattern:/^(mapbox\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^(map\\d*)\\.(center|zoom|bearing|pitch)/},{pattern:/^legend\\.(x|y)$/,attr:\"editrevision\"},{pattern:/^(shapes|annotations)/,attr:\"editrevision\"},{pattern:/^selections/,attr:\"selectionrevision\"},{pattern:/^title\\.text$/,attr:\"editrevision\"}],hvt=[{pattern:/^selectedpoints$/,attr:\"selectionrevision\"},{pattern:/(^|value\\.)visible$/,attr:\"legend.uirevision\"},{pattern:/^dimensions\\[\\d+\\]\\.constraintrange/},{pattern:/^node\\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\\.)name$/},{pattern:/colorbar\\.title\\.text$/},{pattern:/colorbar\\.(x|y)$/,attr:\"editrevision\"}];function 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i2=ye((Rsr,eve)=>{\"use strict\";var Lpt=$b().getAxisGroup;eve.exports=function(t,r,n,i,a){var o=r.orientation,s=r[{v:\"x\",h:\"y\"}[o]+\"axis\"],l=Lpt(n,s)+o,u=n._alignmentOpts||{},c=i(\"alignmentgroup\"),f=u[l];f||(f=u[l]={});var h=f[c];h?h.traces.push(r):h=f[c]={traces:[r],alignmentIndex:Object.keys(f).length,offsetGroups:{}};var d=i(\"offsetgroup\")||\"\",v=h.offsetGroups,m=v[d];r._offsetIndex=0,(a!==\"group\"||d)&&(m||(m=v[d]={offsetIndex:Object.keys(v).length}),r._offsetIndex=m.offsetIndex)}});var vU=ye((Dsr,tve)=>{\"use strict\";var Ppt=Pr(),Ipt=i2(),Rpt=pf();tve.exports=function(t,r){var n,i,a,o=r.scattermode;function s(h){return Ppt.coerce(i._input,i,Rpt,h)}if(r.scattermode===\"group\")for(a=0;a<t.length;a++)i=t[a],i.type===\"scatter\"&&(n=i._input,Ipt(n,i,r,s,o));for(a=0;a<t.length;a++){var l=t[a];if(l.type===\"scatter\"){var u=l.fill;if(!(u===\"none\"||u===\"toself\")&&(l.opacity=void 0,u===\"tonexty\"||u===\"tonextx\"))for(var c=a-1;c>=0;c--){var 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s=t._length,l=e._fullLayout,u=r._id,c=n._id,f=l._firstScatter[gve(t)]===t.uid,h=(xU(t,l,r,n)||{}).orientation,d=t.fill;r._minDtick=0,n._minDtick=0;var v={padded:!0},m={padded:!0};o&&(v.ppad=m.ppad=o);var b=s<2||i[0]!==i[s-1]||a[0]!==a[s-1];b&&(d===\"tozerox\"||d===\"tonextx\"&&(f||h===\"h\"))?v.tozero=!0:!(t.error_y||{}).visible&&(d===\"tonexty\"||d===\"tozeroy\"||!_U.hasMarkers(t)&&!_U.hasText(t))&&(v.padded=!1,v.ppad=0),b&&(d===\"tozeroy\"||d===\"tonexty\"&&(f||h===\"v\"))?m.tozero=!0:(d===\"tonextx\"||d===\"tozerox\")&&(m.padded=!1),u&&(t._extremes[u]=s4.findExtremes(r,i,v)),c&&(t._extremes[c]=s4.findExtremes(n,a,m))}function vve(e,t){if(_U.hasMarkers(e)){var r=e.marker,n=1.6*(e.marker.sizeref||1),i;if(e.marker.sizemode===\"area\"?i=function(u){return Math.max(Math.sqrt((u||0)/n),3)}:i=function(u){return Math.max((u||0)/n,3)},yU.isArrayOrTypedArray(r.size)){var a={type:\"linear\"};s4.setConvert(a);for(var o=a.makeCalcdata(e.marker,\"size\"),s=new 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c=Hpt(i);this.distinctPositions=c.vals,c.vals.length===1&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(c.minDiff,r);var f=(t.posAxis||{}).type;(f===\"category\"||f===\"multicategory\")&&(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}oI.prototype.put=function(t,r,n){var i=this.getLabel(t,r,n),a=this.bins[i]||0;return this.bins[i]=a+n,a};oI.prototype.get=function(t,r,n){var i=this.getLabel(t,r,n);return this.bins[i]||0};oI.prototype.getLabel=function(t,r,n){var i=n<0&&this.sepNegVal?\"v\":\"^\",a=this.overlapNoMerge?t:Math.round(t/this.binWidth);return i+a+\"g\"+r}});var S_=ye((Vsr,xve)=>{\"use strict\";xve.exports={TEXTPAD:3,eventDataKeys:[\"value\",\"label\"]}});var n2=ye((Gsr,Ave)=>{\"use strict\";var B0=Eo(),{isArrayOrTypedArray:By}=Pr(),{BADNUM:dT}=fs(),jpt=Oa(),l4=ho(),{getAxisGroup:Wpt}=$b(),sI=_ve(),{TEXTPAD:Xpt}=S_(),{LINE_SPACING:Zpt}=Dh(),{BR_TAG_ALL:Ypt}=Zl();function Kpt(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var c=a[u];if(c.visible===!0&&jpt.traceIs(c,\"bar\")&&c.xaxis===r._id&&c.yaxis===n._id&&(c.orientation===\"h\"?s.push(o[u]):l.push(o[u]),c._computePh))for(var f=e.calcdata[u],h=0;h<f.length;h++)typeof f[h].ph0==\"function\"&&(f[h].ph0=f[h].ph0()),typeof f[h].ph1==\"function\"&&(f[h].ph1=f[h].ph1())}var d={xCat:r.type===\"category\"||r.type===\"multicategory\",yCat:n.type===\"category\"||n.type===\"multicategory\",mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};wU(e,r,n,l,d),wU(e,n,r,s,d)}function wU(e,t,r,n,i){if(n.length){var a,o,s,l,u;switch(Qpt(r,n),i.mode){case\"overlay\":bU(e,t,r,n,i);break;case\"group\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.offset===void 0?o.push(l):a.push(l);o.length&&e0t(e,t,r,o,i),a.length&&bU(e,t,r,a,i);break;case\"stack\":case\"relative\":for(a=[],o=[],s=0;s<n.length;s++)l=n[s],u=l[0].trace,u.base===void 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null}:e.d2c;if(By(o)){for(n=0;n<Math.min(o.length,i.length);n++)s=u(o[n],0,l),B0(s)?(i[n].b=+s,i[n].hasB=1):i[n].b=0;for(;n<i.length;n++)i[n].b=0}else{s=u(o,0,l);var c=B0(s);for(s=c?s:0,n=0;n<i.length;n++)i[n].b=s,c&&(i[n].hasB=1)}}}function bU(e,t,r,n,i){for(var a=0;a<n.length;a++){var o=n[a],s=new sI([o],{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});TU(e,t,s,i),i.norm?(Tve(s),AU(r,s,i)):wve(r,s)}}function e0t(e,t,r,n,i){var a=new sI(n,{posAxis:t,sepNegVal:!1,overlapNoMerge:!i.norm});TU(e,t,a,i),a0t(a,t),i.norm?(Tve(a),AU(r,a,i)):wve(r,a)}function t0t(e,t,r,n,i){var a=new sI(n,{posAxis:t,sepNegVal:i.mode===\"relative\",overlapNoMerge:!(i.norm||i.mode===\"stack\"||i.mode===\"relative\")});TU(e,t,a,i),n0t(r,a,i);for(var o=0;o<n.length;o++)for(var s=n[o],l=s[0].t.offsetindex,u=0;u<s.length;u++){var c=s[u];if(c.s!==dT){var f=c.b+c.s===a.get(c.p,l,c.s);f&&(c._outmost=!0)}}i.norm&&AU(r,a,i)}function TU(e,t,r,n){var i=e._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,l=r.traces,u=l.length,c=a.length!==o.length,f=s*(1-n.gap),h,d,v,m;if(t._id===\"angularaxis\")h=f,d=h*(1-(n.groupgap||0)),v=-d/2;else{var b=Wpt(i,t._id)+l[0][0].trace.orientation;m=i._alignmentOpts[b]||{}}for(var p=0;p<u;p++){var k=l[p],M=k[0].trace;if(t._id!==\"angularaxis\"){var T=m[M.alignmentgroup]||{},L=Object.keys(T.offsetGroups||{}).length;L?h=f/L:h=c?f/u:f,d=h*(1-(n.groupgap||0)),L?v=((2*M._offsetIndex+1-L)*h-d)/2:v=c?((2*p+1-u)*h-d)/2:-d/2}var x=k[0].t;x.barwidth=d,x.offsetindex=M._offsetIndex||0,x.poffset=v,x.bargroupwidth=f,x.bardelta=s}r.binWidth=l[0][0].t.barwidth/100,r0t(r),i0t(t,r),t._id===\"angularaxis\"?bve(t,r):bve(t,r,c)}function r0t(e){var t=e.traces,r,n;for(r=0;r<t.length;r++){var i=t[r],a=i[0],o=a.trace,s=a.t,l=o._offset||o.offset,u=s.poffset,c;if(By(l)){for(c=Array.prototype.slice.call(l,0,i.length),n=0;n<c.length;n++)B0(c[n])||(c[n]=u);for(n=c.length;n<i.length;n++)c.push(u);s.poffset=c}else l!==void 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T=k?b[v]:b,L=M?p[v]:p;h=f.p+T,d=h+L,c.push(h,d)}}u._extremes[e._id]=l4.findExtremes(e,c,{padded:!1})}}function wve(e,t){for(var r=t.traces,n=vT(e),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,s=o.type===\"scatter\",l=o.orientation===\"v\",u=[],c=!1,f=0;f<a.length;f++){var h=a[f],d=s?0:h.b,v=s?l?h.y:h.x:d+h.s;h[n]=v,u.push(v),h.hasB&&u.push(d),(!h.hasB||!h.b)&&(c=!0)}let{ppadminus:m,ppadplus:b}=SU(o,a);o._extremes[e._id]=l4.findExtremes(e,u,{tozero:c,padded:!0,ppadplus:b,ppadminus:m})}}function n0t(e,t,r){var n=vT(e),i=t.traces,a,o,s,l,u,c,f;for(l=0;l<i.length;l++)if(a=i[l],o=a[0].trace,o.type===\"funnel\")for(f=a[0].t.offsetindex,u=0;u<a.length;u++)c=a[u],c.s!==dT&&t.put(c.p,f,-.5*c.s);for(l=0;l<i.length;l++){a=i[l],o=a[0].trace,s=o.type===\"funnel\",f=o.type===\"barpolar\"?0:a[0].t.offsetindex;var h=[];for(u=0;u<a.length;u++)if(c=a[u],c.s!==dT){var d;s?d=c.s:d=c.s+c.b;var v=t.put(c.p,f,d),m=v+d;c.b=v,c[n]=m,r.norm||(h.push(m),c.hasB&&h.push(v))}if(!r.norm){let{ppadminus:b,ppadplus:p}=SU(o,a);o._extremes[e._id]=l4.findExtremes(e,h,{tozero:!0,padded:!0,ppadplus:p,ppadminus:b})}}}function Tve(e){for(var t=e.traces,r=0;r<t.length;r++)for(var n=t[r],i=n[0].t.offsetindex,a=0;a<n.length;a++){var o=n[a];o.s!==dT&&e.put(o.p,i,o.b+o.s)}}function a0t(e,t){for(var r=e.traces,n=0;n<r.length;n++){var i=r[n],a=i[0].trace,o=i[0].t.offsetindex;if(a.base===void 0)for(var s=new sI([i],{posAxis:t,sepNegVal:!0,overlapNoMerge:!0}),l=0;l<i.length;l++){var u=i[l];if(u.p!==dT){var c=s.put(u.p,o,u.b+u.s);c&&(u.b=c)}}}}function AU(e,t,r){var n=t.traces,i=vT(e),a=r.norm===\"fraction\"?1:100,o=a/1e9,s=e.l2c(e.c2l(0)),l=r.mode===\"stack\"?a:s;function u(x){return B0(e.c2l(x))&&(x<s-o||x>l+o||!B0(s))}for(var c=0;c<n.length;c++){for(var f=n[c],h=f[0].t.offsetindex,d=f[0].trace,v=[],m=!1,b=!1,p=0;p<f.length;p++){var k=f[p];if(k.s!==dT){var M=Math.abs(a/t.get(k.p,h,k.s));k.b*=M,k.s*=M;var T=k.b,L=T+k.s;k[i]=L,v.push(L),b=b||u(L),k.hasB&&(v.push(T),b=b||u(T)),(!k.hasB||!k.b)&&(m=!0)}}let{ppadminus:x,ppadplus:C}=SU(d,f);d._extremes[e._id]=l4.findExtremes(e,v,{tozero:m,padded:b,ppadplus:C,ppadminus:x})}}function SU(e,t){if(e.orientation===\"v\"&&(e.text||e.texttemplate)&&e.textposition===\"outside\"&&(e.textangle===\"auto\"||e.textangle===0)){let n=function(a){return!a||typeof a!=\"string\"?0:(a.match(Ypt)||[]).length+1};var r;e.texttemplate?r=n(e.texttemplate):r=By(e.text)?Math.max(...e.text.map(a=>n(a))):n(e.text);let i=e.outsidetextfont.size*Zpt*r+Xpt;return{ppadplus:t.some(a=>a.s<0)?i:0,ppadminus:t.some(a=>a.s>=0)?i:0}}return{ppadplus:void 0,ppadminus:void 0}}function o0t(e,t,r,n){for(var i=vT(n),a=0;a<e.length;a++)for(var o=e[a],s=0;s<o.length;s++){var l=o[s],u=l[i];l._sMin=t[u],l._sMax=r[u]}}function s0t(e,t){var r=vT(t),n={},i,a,o,s=1/0,l=-1/0;for(i=0;i<e.length;i++)for(o=e[i],a=0;a<o.length;a++){var u=o[a].p;B0(u)&&(s=Math.min(s,u),l=Math.max(l,u))}var c=1e4/(l-s),f=n.round=function(S){return String(Math.round(c*(S-s)))},h={},d={},v=e.some(function(S){var g=S[0].trace;return\"marker\"in g&&g.marker.cornerradius});for(i=0;i<e.length;i++){o=e[i],o[0].t.extents=n;var m=o[0].t.poffset,b=By(m);for(a=0;a<o.length;a++){var p=o[a],k=p[r]-p.w/2;if(B0(k)){var M=p[r]+p.w/2,T=f(p.p);n[T]?n[T]=[Math.min(k,n[T][0]),Math.max(M,n[T][1])]:n[T]=[k,M]}if(p.p0=p.p+(b?m[a]:m),p.p1=p.p0+p.w,p.s0=p.b,p.s1=p.s0+p.s,v){var L=Math.min(p.s0,p.s1)||0,x=Math.max(p.s0,p.s1)||0,C=p[r];h[C]=C in h?Math.min(h[C],L):L,d[C]=C in d?Math.max(d[C],x):x}}}v&&o0t(e,h,d,t)}function vT(e){return e._id.charAt(0)}Ave.exports={crossTraceCalc:Kpt,setGroupPositions:wU}});var kve=ye((Hsr,Eve)=>{\"use strict\";var Sve=O0(),Mve=n2().setGroupPositions;function l0t(e,t){for(var r=t.xaxis,n=t.yaxis,i=e._fullLayout,a=e._fullData,o=e.calcdata,s=[],l=[],u=0;u<a.length;u++){var 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wT=ye((Qsr,Xve)=>{\"use strict\";var Wve=Ru();Xve.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l,u,c,f,h=!Wve.hasMarkers(s)&&!Wve.hasText(s);if(h)return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++)u=n[l],c=i.c2p(u.x),f=a.c2p(u.y),u.i!==null&&r.contains([c,f],!1,l,t)?(o.push({pointNumber:u.i,x:i.c2d(u.x),y:a.c2d(u.y)}),u.selected=1):u.selected=0;return o}});var Yve=ye((elr,Zve)=>{\"use strict\";Zve.exports={xaxis:{valType:\"subplotid\",dflt:\"x\",editType:\"calc+clearAxisTypes\"},yaxis:{valType:\"subplotid\",dflt:\"y\",editType:\"calc+clearAxisTypes\"}}});var FU=ye((tlr,$ve)=>{\"use strict\";var f4=Oa().traceIs,DU=W3();$ve.exports=function(t,r,n,i){n(\"autotypenumbers\",i.autotypenumbersDflt);var a=n(\"type\",(i.splomStash||{}).type);a===\"-\"&&(A0t(r,i.data),r.type===\"-\"?r.type=\"linear\":t.type=r.type)};function A0t(e,t){if(e.type===\"-\"){var r=e._id,n=r.charAt(0),i;r.indexOf(\"scene\")!==-1&&(r=n);var a=S0t(t,r,n);if(a){if(a.type===\"histogram\"&&n==={v:\"y\",h:\"x\"}[a.orientation||\"v\"]){e.type=\"linear\";return}var o=n+\"calendar\",s=a[o],l={noMultiCategory:!f4(a,\"cartesian\")||f4(a,\"noMultiCategory\")};if(a.type===\"box\"&&a._hasPreCompStats&&n==={h:\"x\",v:\"y\"}[a.orientation||\"v\"]&&(l.noMultiCategory=!0),l.autotypenumbers=e.autotypenumbers,Jve(a,n)){var u=Kve(a),c=[];for(i=0;i<t.length;i++){var f=t[i];!f4(f,\"box-violin\")||(f[n+\"axis\"]||n)!==r||(f[u]!==void 0?c.push(f[u][0]):f.name!==void 0?c.push(f.name):c.push(\"text\"),f[o]!==s&&(s=void 0))}e.type=DU(c,s,l)}else if(a.type===\"splom\"){var h=a.dimensions,d=h[a._axesDim[r]];d.visible&&(e.type=DU(d.values,s,l))}else e.type=DU(a[n]||[a[n+\"0\"]],s,l)}}}function S0t(e,t,r){for(var n=0;n<e.length;n++){var i=e[n];if(i.type===\"splom\"&&i._length>0&&(i[\"_\"+r+\"axes\"]||{})[t])return i;if((i[r+\"axis\"]||r)===t){if(Jve(i,r))return i;if((i[r]||[]).length||i[r+\"0\"])return i}}}function Kve(e){return{v:\"x\",h:\"y\"}[e.orientation||\"v\"]}function Jve(e,t){var r=Kve(e),n=f4(e,\"box-violin\"),i=f4(e._fullInput||{},\"candlestick\");return n&&!i&&t===r&&e[r]===void 0&&e[r+\"0\"]===void 0}});var dI=ye((rlr,Qve)=>{\"use strict\";var M0t=Yd().isTypedArraySpec;function E0t(e,t){var r=t.dataAttr||e._id.charAt(0),n={},i,a,o;if(t.axData)i=t.axData;else for(i=[],a=0;a<t.data.length;a++){var s=t.data[a];s[r+\"axis\"]===e._id&&i.push(s)}for(a=0;a<i.length;a++){var l=i[a][r];for(o=0;o<l.length;o++){var u=l[o];u!=null&&(n[u]=1)}}return Object.keys(n)}Qve.exports=function(t,r,n,i){if(r.type===\"category\"){var a=t.categoryarray,o=Array.isArray(a)&&a.length>0||M0t(a),s;o&&(s=\"array\");var l=n(\"categoryorder\",s),u;l===\"array\"&&(u=n(\"categoryarray\")),!o&&l===\"array\"&&(l=r.categoryorder=\"trace\"),l===\"trace\"?r._initialCategories=[]:l===\"array\"?r._initialCategories=u.slice():(u=E0t(r,i).sort(),l===\"category ascending\"?r._initialCategories=u:l===\"category 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v=\"\";(!i.noTicklabelposition||f===\"multicategory\")&&(v=d4.coerce(t,r,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:h===\"period\"?[\"outside\",\"inside\"]:o===\"x\"?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),i.noTicklabeloverflow||n(\"ticklabeloverflow\",v.indexOf(\"inside\")!==-1?\"hide past domain\":f===\"category\"||f===\"multicategory\"?\"allow\":\"hide past div\"),ape(r,a),q0t(t,r,n,i),F0t(t,r,n,i),i.noHover||(f!==\"category\"&&n(\"hoverformat\"),i.noUnifiedhovertitle||n(\"unifiedhovertitle.text\"));var m=n(\"color\"),b=m!==zU.color.dflt?m:s.color,p=l.label||a._dfltTitle[o];if(D0t(t,r,n,f,i),!u)return r;n(\"title.text\",p),d4.coerceFont(n,\"title.font\",s,{overrideDflt:{size:d4.bigFont(s.size),color:b}}),ipe(t,r,n,f);var k=i.hasMinor;if(k&&(P0t.newContainer(r,\"minor\"),ipe(t,r,n,f,{isMinor:!0})),R0t(t,r,n,f,i),npe(t,r,n,i),k){var M=i.isMinor;i.isMinor=!0,npe(t,r,n,i),i.isMinor=M}z0t(t,r,n,{dfltColor:m,bgColor:i.bgColor,showGrid:i.showGrid,hasMinor:k,attributes:zU}),k&&r.ticklabelindex==null&&!r.minor.ticks&&!r.minor.showgrid&&delete r.minor,(r.showline||r.ticks)&&n(\"mirror\");var T=f===\"multicategory\";if(!i.noTickson&&(f===\"category\"||T)&&(r.ticks||r.showgrid)&&(T?(n(\"tickson\",\"boundaries\"),delete r.ticklabelposition):n(\"tickson\")),T){var L=n(\"showdividers\");L&&(n(\"dividercolor\"),n(\"dividerwidth\"))}if(f===\"date\")if(I0t(t,r,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:B0t}),!r.rangebreaks.length)delete r.rangebreaks;else{for(var x=0;x<r.rangebreaks.length;x++)if(r.rangebreaks[x].pattern===vI){r._hasDayOfWeekBreaks=!0;break}if(ape(r,a),a._has(\"scattergl\")||a._has(\"splom\"))for(var C=0;C<i.data.length;C++){var S=i.data[C];(S.type===\"scattergl\"||S.type===\"splom\")&&(S.visible=!1,d4.warn(S.type+\" traces do not work on axes with rangebreaks. 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a=Og.traceLayerClasses,o=e._fullLayout,s=o._zindices,l=o._modules,u,c,f,h=[],d=[],v=0;v<s.length;v++)for(var m=s[v],b=0;b<l.length;b++){u=l[b];var p=u.name,k=bpe.modules[p].categories;if(k.svg){var M=u.layerName||p+\"layer\",T=M+(v?Number(v)+1:\"\"),L=u.plot;c=wpe(r,L,m),f=c[0],r=c[1],f.length&&h.push({i:a.indexOf(M),zindex:v,className:T,plotMethod:L,cdModule:f}),k.zoomScale&&d.push(\".\"+T)}}h.sort(function(S,g){return(S.zindex||0)-(g.zindex||0)||S.i-g.i});var x=t.plot.selectAll(\"g.mlayer\").data(h,function(S){return S.className});if(x.enter().append(\"g\").attr(\"class\",function(S){return S.className}).classed(\"mlayer\",!0).classed(\"rangeplot\",t.isRangePlot),x.exit().remove(),x.order(),x.each(function(S){var g=wI.select(this),P=S.className;S.plotMethod(e,t,S.cdModule,g,n,i),Og.clipOnAxisFalseQuery.indexOf(\".\"+P)===-1&&K0t.setClipUrl(g,t.layerClipId,e)}),o._has(\"scattergl\")&&(u=bpe.getModule(\"scattergl\"),f=wpe(r,u)[0],u.plot(e,t,f)),!e._context.staticPlot&&(t._hasClipOnAxisFalse&&(t.clipOnAxisFalseTraces=t.plot.selectAll(Og.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),d.length)){var C=t.plot.selectAll(d.join(\",\")).selectAll(\".trace\");t.zoomScalePts=C.selectAll(\"path.point\"),t.zoomScaleTxt=C.selectAll(\".textpoint\")}}xv.clean=function(e,t,r,n){var i=n._plots||{},a=t._plots||{},o=n._subplots||{},s,l,u;if(n._hasOnlyLargeSploms&&!t._hasOnlyLargeSploms)for(u in i)s=i[u],s.plotgroup&&s.plotgroup.remove();var c=n._has&&n._has(\"gl\"),f=t._has&&t._has(\"gl\");if(c&&!f)for(u in i)s=i[u],s._scene&&s._scene.destroy();if(o.xaxis&&o.yaxis){var h=M_.listIds({_fullLayout:n});for(l=0;l<h.length;l++){var d=h[l];t[M_.id2name(d)]||n._infolayer.selectAll(\".g-\"+d+\"title\").remove()}}var v=n._has&&n._has(\"cartesian\"),m=t._has&&t._has(\"cartesian\");if(v&&!m)Spe(n._cartesianlayer.selectAll(\".subplot\"),n),n._defs.selectAll(\".axesclip\").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(o.cartesian)for(l=0;l<o.cartesian.length;l++){var b=o.cartesian[l];if(b.indexOf(s2)===-1&&!a[b]){var p=\".\"+b+\",.\"+b+\"-x,.\"+b+\"-y\";n._cartesianlayer.selectAll(p).remove(),Mpe(b,n)}}};xv.drawFramework=function(e){var t=e._fullLayout,r=e.calcdata,n,i={};for(n=0;n<r.length;n++){var a=r[n][0],o=a.trace,s=o.zorder||0;i[s]||(i[s]=[]),i[s].push(a)}var l=Object.keys(i).map(Number).sort(o2.sorterAsc);l.length||(l=[0]),t._zindices=l;var u=$0t(e),c=u.length,f=[];for(n=0;n<c;n++)f[n]=u[n].slice();for(var h=1;h<l.length;h++){var d=[];for(n=0;n<c;n++)d[n]=u[n].slice(),d[n][0]+=s2+(h+1);f=f.concat(d)}var v=t._cartesianlayer.selectAll(\".subplot\").data(f,String);v.enter().append(\"g\").attr(\"class\",function(m){return\"subplot \"+m[0]}),v.order(),v.exit().call(Spe,t),v.each(function(m){var b=m[0],p=b.indexOf(s2),k=p!==-1,M=k?b.slice(0,p):b,T=t._plots[b];T||(T=o2.extendFlat({},t._plots[M]),T&&(T.id=b,t._plots[b]=T,t._subplots.cartesian.push(b))),T&&(T.plotgroup=wI.select(this),Ape(e,T),k||(T.draglayer=iu(t._draggers,\"g\",b)))})};xv.rangePlot=function(e,t,r){Ape(e,t),Tpe(e,t,r),Y0t.style(e)};function $0t(e){var t=e._fullLayout,r=t._zindices.length,n=t._subplots.cartesian,i=n.length,a,o,s,l,u,c,f=[],h=[];for(a=0;a<i;a++){s=n[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;var d=u._mainAxis,v=c._mainAxis,m=d._id+v._id,b=t._plots[m];l.overlays=[],m!==s&&b?(l.mainplot=m,l.mainplotinfo=b,h.push(s)):(l.mainplot=void 0,l.mainplotinfo=void 0,f.push(s))}for(a=0;a<h.length;a++)s=h[a],l=t._plots[s],l.mainplotinfo.overlays.push(l);var p=f.concat(h),k=[];for(a=0;a<i;a++){s=p[a],l=t._plots[s],u=l.xaxis,c=l.yaxis;for(var M=[],T=1;T<=r;T++){var L=\"\";for(T>1&&(L+=s2+T),M.push(s+L),o=0;o<l.overlays.length;o++)M.push(l.overlays[o].id+L)}M=M.concat([u.layer,c.layer,u.overlaying||\"\",c.overlaying||\"\"]),k.push(M)}return k}function Ape(e,t){var r=e._fullLayout,n=t.plotgroup,i=t.id,a=i.indexOf(s2),o=a!==-1,s=Og.layerValue2layerClass[t.xaxis.layer],l=Og.layerValue2layerClass[t.yaxis.layer],u=r._hasOnlyLargeSploms,c=r._zindices.length>1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=iu(n,\"path\",\"xlines-above\"),t.ylines=iu(n,\"path\",\"ylines-above\"),t.xaxislayer=iu(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=iu(n,\"g\",\"yaxislayer-above\");else{if(!o){var 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d=iu(n,\"g\",\"layer-between\");t.shapelayerBetween=iu(d,\"g\",\"shapelayer\"),t.imagelayerBetween=iu(d,\"g\",\"imagelayer\"),iu(n,\"path\",\"xlines-below\"),iu(n,\"path\",\"ylines-below\"),t.overlinesBelow=iu(n,\"g\",\"overlines-below\"),iu(n,\"g\",\"xaxislayer-below\"),iu(n,\"g\",\"yaxislayer-below\"),t.overaxesBelow=iu(n,\"g\",\"overaxes-below\")}t.overplot=iu(n,\"g\",\"overplot\"),t.plot=iu(t.overplot,\"g\",i),f&&c?t.zerolinelayerAbove=f.zerolinelayerAbove:t.zerolinelayerAbove=iu(n,\"g\",\"zerolinelayer-above\"),o||(t.xlines=iu(n,\"path\",\"xlines-above\"),t.ylines=iu(n,\"path\",\"ylines-above\"),t.overlinesAbove=iu(n,\"g\",\"overlines-above\"),iu(n,\"g\",\"xaxislayer-above\"),iu(n,\"g\",\"yaxislayer-above\"),t.overaxesAbove=iu(n,\"g\",\"overaxes-above\"),t.xlines=n.select(\".xlines-\"+s),t.ylines=n.select(\".ylines-\"+l),t.xaxislayer=n.select(\".xaxislayer-\"+s),t.yaxislayer=n.select(\".yaxislayer-\"+l))}else{var v=f.plotgroup,m=i+\"-x\",b=i+\"-y\";t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer,t.zerolinelayerAbove=f.zerolinelayerAbove,iu(f.overlinesBelow,\"path\",m),iu(f.overlinesBelow,\"path\",b),iu(f.overaxesBelow,\"g\",m),iu(f.overaxesBelow,\"g\",b),t.plot=iu(f.overplot,\"g\",i),iu(f.overlinesAbove,\"path\",m),iu(f.overlinesAbove,\"path\",b),iu(f.overaxesAbove,\"g\",m),iu(f.overaxesAbove,\"g\",b),t.xlines=v.select(\".overlines-\"+s).select(\".\"+m),t.ylines=v.select(\".overlines-\"+l).select(\".\"+b),t.xaxislayer=v.select(\".overaxes-\"+s).select(\".\"+m),t.yaxislayer=v.select(\".overaxes-\"+l).select(\".\"+b)}o||(u||(bI(t.minorGridlayer,\"g\",t.xaxis._id),bI(t.minorGridlayer,\"g\",t.yaxis._id),t.minorGridlayer.selectAll(\"g\").map(function(p){return p[0]}).sort(M_.idSort),bI(t.gridlayer,\"g\",t.xaxis._id),bI(t.gridlayer,\"g\",t.yaxis._id),t.gridlayer.selectAll(\"g\").map(function(p){return p[0]}).sort(M_.idSort)),t.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),t.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0))}function Spe(e,t){if(e){var r={};e.each(function(l){var u=l[0],c=wI.select(this);c.remove(),Mpe(u,t),r[u]=!0});for(var n in t._plots)for(var i=t._plots[n],a=i.overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(\".trace\").remove()}}}function Mpe(e,t){t._draggers.selectAll(\"g.\"+e).remove(),t._defs.select(\"#clip\"+t._uid+e+\"plot\").remove()}xv.toSVG=function(e){var t=e._fullLayout._glimages,r=wI.select(e).selectAll(\".svg-container\"),n=r.filter(function(a,o){return o===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\");function i(){var a=this,o=a.toDataURL(\"image/png\"),s=t.append(\"svg:image\");s.attr({xmlns:J0t.svg,\"xlink:href\":o,preserveAspectRatio:\"none\",x:0,y:0,width:a.style.width,height:a.style.height})}n.each(i)};xv.updateFx=KN().updateFx});var kpe=ye((ulr,Epe)=>{\"use strict\";var 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jr=P+qr-Ee.top,gt=P+ei-Ee.left;Z.call(VU.positionText,gt,jr).call(Ny.setClipUrl,z?m:null,e)}q.select(\"rect\").call(Ny.setRect,P,P,ie,Se),E.call(Ny.setRect,S/2,S/2,ke-S,be-S),C.call(Ny.setTranslate,Math.round(b.x.text-ke/2),Math.round(b.y.text-be/2)),M.attr({transform:\"rotate(\"+p+\",\"+b.x.text+\",\"+b.y.text+\")\"});var Ge=function(We,et){k.selectAll(\".annotation-arrow-g\").remove();var xt=b.x.head,At=b.y.head,Kt=b.x.tail+We,Qt=b.y.tail+et,Mr=b.x.text+We,Gr=b.y.text+et,Ir=k_.rotationXYMatrix(p,Mr,Gr),Yr=k_.apply2DTransform(Ir),_i=k_.apply2DTransform2(Ir),Pi=+E.attr(\"width\"),ai=+E.attr(\"height\"),mi=Mr-.5*Pi,un=mi+Pi,Fn=Gr-.5*ai,An=Fn+ai,Hn=[[mi,Fn,mi,An],[mi,An,un,An],[un,An,un,Fn],[un,Fn,mi,Fn]].map(_i);if(!Hn.reduce(function($r,Ri){return $r^!!k_.segmentsIntersect(xt,At,xt+1e6,At+1e6,Ri[0],Ri[1],Ri[2],Ri[3])},!1)){Hn.forEach(function($r){var Ri=k_.segmentsIntersect(Kt,Qt,xt,At,$r[0],$r[1],$r[2],$r[3]);Ri&&(Kt=Ri.x,Qt=Ri.y)});var Qn=t.arrowwidth,Vi=t.arrowcolor,Jn=t.arrowside,Yn=k.append(\"g\").style({opacity:l2.opacity(Vi)}).classed(\"annotation-arrow-g\",!0),Gt=Yn.append(\"path\").attr(\"d\",\"M\"+Kt+\",\"+Qt+\"L\"+xt+\",\"+At).style(\"stroke-width\",Qn+\"px\").call(l2.stroke,l2.rgb(Vi));if(ogt(Gt,Jn,t),l.annotationPosition&&Gt.node().parentNode&&!n){var wt=xt,tr=At;if(t.standoff){var ir=Math.sqrt(Math.pow(xt-Kt,2)+Math.pow(At-Qt,2));wt+=t.standoff*(Kt-xt)/ir,tr+=t.standoff*(Qt-At)/ir}var wr=Yn.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(Kt-wt)+\",\"+(Qt-tr),transform:UU(wt,tr)}).style(\"stroke-width\",Qn+6+\"px\").call(l2.stroke,\"rgba(0,0,0,0)\").call(l2.fill,\"rgba(0,0,0,0)\"),Xr,ti;p4.init({element:wr.node(),gd:e,prepFn:function(){var $r=Ny.getTranslate(C);Xr=$r.x,ti=$r.y,i&&i.autorange&&h(i._name+\".autorange\",!0),a&&a.autorange&&h(a._name+\".autorange\",!0)},moveFn:function($r,Ri){var 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r=Npe(e,t),n=r.on,i=r.off.concat(r.explicitOff),a={},o=e._fullLayout.annotations,s,l;if(n.length||i.length){for(s=0;s<n.length;s++)l=Ope(e.layout,\"annotations\",o[n[s]]),l.modifyItem(\"visible\",!0),qpe.extendFlat(a,l.getUpdateObj());for(s=0;s<i.length;s++)l=Ope(e.layout,\"annotations\",o[i[s]]),l.modifyItem(\"visible\",!1),qpe.extendFlat(a,l.getUpdateObj());return lgt.call(\"update\",e,{},a)}}function Npe(e,t){var r=e._fullLayout.annotations,n=[],i=[],a=[],o=(t||[]).length,s,l,u,c,f,h,d,v;for(s=0;s<r.length;s++)if(u=r[s],c=u.clicktoshow,c){for(l=0;l<o;l++)if(f=t[l],h=f.xaxis,d=f.yaxis,h._id===u.xref&&d._id===u.yref&&h.d2r(f.x)===Bpe(u._xclick,h)&&d.d2r(f.y)===Bpe(u._yclick,d)){u.visible?c===\"onout\"?v=i:v=a:v=n,v.push(s);break}l===o&&u.visible&&c===\"onout\"&&i.push(s)}return{on:n,off:i,explicitOff:a}}function Bpe(e,t){return t.type===\"log\"?t.l2r(e):t.d2r(e)}});var jU=ye((dlr,Gpe)=>{\"use strict\";var HU=Pr(),TT=ka();Gpe.exports=function(t,r,n,i){i(\"opacity\");var 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XU=Pr(),c2=ho(),pgt=AI().draw;Xpe.exports=function(t){var r=t._fullLayout,n=XU.filterVisible(r.annotations);if(n.length&&t._fullData.length)return XU.syncOrAsync([pgt,ggt],t)};function ggt(e){var t=e._fullLayout;XU.filterVisible(t.annotations).forEach(function(r){var n=c2.getFromId(e,r.xref),i=c2.getFromId(e,r.yref),a=c2.getRefType(r.xref),o=c2.getRefType(r.yref);r._extremes={},a===\"range\"&&Wpe(r,n),o===\"range\"&&Wpe(r,i)})}function Wpe(e,t){var r=t._id,n=r.charAt(0),i=e[n],a=e[\"a\"+n],o=e[n+\"ref\"],s=e[\"a\"+n+\"ref\"],l=e[\"_\"+n+\"padplus\"],u=e[\"_\"+n+\"padminus\"],c={x:1,y:-1}[n]*e[n+\"shift\"],f=3*e.arrowsize*e.arrowwidth||0,h=f+c,d=f-c,v=3*e.startarrowsize*e.arrowwidth||0,m=v+c,b=v-c,p;if(s===o){var k=c2.findExtremes(t,[t.r2c(i)],{ppadplus:h,ppadminus:d}),M=c2.findExtremes(t,[t.r2c(a)],{ppadplus:Math.max(l,m),ppadminus:Math.max(u,b)});p={min:[k.min[0],M.min[0]],max:[k.max[0],M.max[0]]}}else 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kc=Qb(),_gt=mc().overrideAll,xgt=vl().templatedArray;e0e.exports=_gt(xgt(\"annotation\",{visible:kc.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:kc.xanchor,xshift:kc.xshift,yanchor:kc.yanchor,yshift:kc.yshift,text:kc.text,textangle:kc.textangle,font:kc.font,width:kc.width,height:kc.height,opacity:kc.opacity,align:kc.align,valign:kc.valign,bgcolor:kc.bgcolor,bordercolor:kc.bordercolor,borderpad:kc.borderpad,borderwidth:kc.borderwidth,showarrow:kc.showarrow,arrowcolor:kc.arrowcolor,arrowhead:kc.arrowhead,startarrowhead:kc.startarrowhead,arrowside:kc.arrowside,arrowsize:kc.arrowsize,startarrowsize:kc.startarrowsize,arrowwidth:kc.arrowwidth,standoff:kc.standoff,startstandoff:kc.startstandoff,hovertext:kc.hovertext,hoverlabel:kc.hoverlabel,captureevents:kc.captureevents}),\"calc\",\"from-root\")});var r0e=ye((_lr,t0e)=>{\"use strict\";var YU=Pr(),bgt=ho(),wgt=Kd(),Tgt=jU(),Agt=SI();t0e.exports=function(t,r,n){wgt(t,r,{name:\"annotations\",handleItemDefaults:Sgt,fullLayout:n.fullLayout})};function Sgt(e,t,r,n){function i(s,l){return YU.coerce(e,t,Agt,s,l)}function a(s){var l=s+\"axis\",u={_fullLayout:{}};return u._fullLayout[l]=r[l],bgt.coercePosition(t,u,i,s,s,.5)}var o=i(\"visible\");o&&(Tgt(e,t,n.fullLayout,i),a(\"x\"),a(\"y\"),a(\"z\"),YU.noneOrAll(e,t,[\"x\",\"y\",\"z\"]),t.xref=\"x\",t.yref=\"y\",t.zref=\"z\",i(\"xanchor\"),i(\"yanchor\"),i(\"xshift\"),i(\"yshift\"),t.showarrow&&(t.axref=\"pixel\",t.ayref=\"pixel\",i(\"ax\",-10),i(\"ay\",-30),YU.noneOrAll(e,t,[\"ax\",\"ay\"])))}});var o0e=ye((xlr,a0e)=>{\"use strict\";var i0e=Pr(),n0e=ho();a0e.exports=function(t){for(var r=t.fullSceneLayout,n=r.annotations,i=0;i<n.length;i++)Mgt(n[i],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()};function Mgt(e,t){var r=t.fullSceneLayout,n=r.domain,i=t.fullLayout._size,a={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};e._xa={},i0e.extendFlat(e._xa,a),n0e.setConvert(e._xa),e._xa._offset=i.l+n.x[0]*i.w,e._xa.l2p=function(){return .5*(1+e._pdata[0]/e._pdata[3])*i.w*(n.x[1]-n.x[0])},e._ya={},i0e.extendFlat(e._ya,a),n0e.setConvert(e._ya),e._ya._offset=i.t+(1-n.y[1])*i.h,e._ya.l2p=function(){return .5*(1-e._pdata[1]/e._pdata[3])*i.h*(n.y[1]-n.y[0])}}});var JU=ye((blr,s0e)=>{\"use strict\";function KU(e,t){var r=[0,0,0,0],n,i;for(n=0;n<4;++n)for(i=0;i<4;++i)r[i]+=e[4*n+i]*t[n];return r}function Egt(e,t){var r=KU(e.projection,KU(e.view,KU(e.model,[t[0],t[1],t[2],1])));return r}s0e.exports=Egt});var u0e=ye((wlr,l0e)=>{\"use strict\";var kgt=AI().drawRaw,Cgt=JU(),Lgt=[\"x\",\"y\",\"z\"];l0e.exports=function(t){for(var r=t.fullSceneLayout,n=t.dataScale,i=r.annotations,a=0;a<i.length;a++){for(var o=i[a],s=!1,l=0;l<3;l++){var u=Lgt[l],c=o[u],f=r[u+\"axis\"],h=f.r2fraction(c);if(h<0||h>1){s=!0;break}}s?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+a+'\"]').remove():(o._pdata=Cgt(t.glplot.cameraParams,[r.xaxis.r2l(o.x)*n[0],r.yaxis.r2l(o.y)*n[1],r.zaxis.r2l(o.z)*n[2]]),kgt(t.graphDiv,o,a,t.id,o._xa,o._ya))}}});var h0e=ye((Tlr,f0e)=>{\"use strict\";var Pgt=Oa(),c0e=Pr();f0e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:SI()}}},layoutAttributes:SI(),handleDefaults:r0e(),includeBasePlot:Igt,convert:o0e(),draw:u0e()};function Igt(e,t){var r=Pgt.subplotsRegistry.gl3d;if(r)for(var n=r.attrRegex,i=Object.keys(e),a=0;a<i.length;a++){var o=i[a];n.test(o)&&(e[o].annotations||[]).length&&(c0e.pushUnique(t._basePlotModules,r),c0e.pushUnique(t._subplots.gl3d,o))}}});var $U=ye((Mlr,g0e)=>{\"use strict\";var 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a.yref!==\"paper\"&&u!==\"domain\"&&(o=N0.getFromId(t,a.yref),s=S0e(o,a,zm.paramIsY),s&&(a._extremes[o._id]=N0.findExtremes(o,s,A0e(a))))}};function w0e(e,t,r){let n=t[r+\"ref\"],i=r===\"x\"?zm.paramIsX:zm.paramIsY;function a(f,h){f===\"paper\"||N0.getRefType(f)===\"domain\"||(o[f]||(o[f]=[]),o[f].push(h))}let o={};if(t.type===\"path\"&&t.path){let f=t.path.match(zm.segmentRE)||[];for(var s=0,l=0;l<f.length;l++){let h=f[l],d=h.charAt(0),v=i[d].drawn;if(v===void 0)continue;let m=h.slice(1).match(zm.paramRE);m&&m.length>v&&(a(n[s],m[v]),s++)}}else a(n[0],t[r+\"0\"]),a(n[1],t[r+\"1\"]);let u={};for(let f in o){let h=N0.getFromId(e,f);if(h){var c=h.type===\"category\"||h.type===\"multicategory\"?h.r2c:h.d2c;h.type===\"date\"&&(c=eV.decodeDate(c)),u[h._id]=o[f].map(c)}}return u}function T0e(e){return M0e(e.line.width,e.xsizemode,e.x0,e.x1,e.path,!1)}function A0e(e){return M0e(e.line.width,e.ysizemode,e.y0,e.y1,e.path,!0)}function M0e(e,t,r,n,i,a){var o=e/2,s=a;if(t===\"pixel\"){var l=i?eV.extractPathCoords(i,a?zm.paramIsY:zm.paramIsX):[r,n],u=QU.aggNums(Math.max,null,l),c=QU.aggNums(Math.min,null,l),f=c<0?Math.abs(c)+o:o,h=u>0?u+o:o;return{ppad:o,ppadplus:s?f:h,ppadminus:s?h:f}}else return{ppad:o}}function S0e(e,t,r){var n=e._id.charAt(0)===\"x\"?\"x\":\"y\",i=e.type===\"category\"||e.type===\"multicategory\",a,o,s=0,l=0,u=i?e.r2c:e.d2c,c=t[n+\"sizemode\"]===\"scaled\";if(c?(a=t[n+\"0\"],o=t[n+\"1\"],i&&(s=t[n+\"0shift\"],l=t[n+\"1shift\"])):(a=t[n+\"anchor\"],o=t[n+\"anchor\"]),a!==void 0)return[u(a)+s,u(o)+l];if(t.path){var f=1/0,h=-1/0,d=t.path.match(zm.segmentRE),v,m,b,p,k;for(e.type===\"date\"&&(u=eV.decodeDate(u)),v=0;v<d.length;v++)m=d[v],b=r[m.charAt(0)].drawn,b!==void 0&&(p=d[v].slice(1).match(zm.paramRE),!(!p||p.length<b)&&(k=u(p[b]),k<f&&(f=k),k>h&&(h=k)));if(h>=f)return[f,h]}}});var P0e=ye((Llr,L0e)=>{\"use strict\";var C0e=pP();L0e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:$U(),supplyLayoutDefaults:y0e(),supplyDrawNewShapeDefaults:b0e(),includeBasePlot:KM()(\"shapes\"),calcAutorange:k0e(),draw:C0e.draw,drawOne:C0e.drawOne}});var tV=ye((Ilr,R0e)=>{\"use strict\";var I0e=Rh(),Hgt=vl().templatedArray,Plr=ZM();R0e.exports=Hgt(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",I0e.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",I0e.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})});var F0e=ye((Rlr,D0e)=>{\"use strict\";var jgt=Pr(),rV=ho(),Wgt=Kd(),Xgt=tV(),Zgt=\"images\";D0e.exports=function(t,r){var n={name:Zgt,handleItemDefaults:Ygt};Wgt(t,r,n)};function Ygt(e,t,r){function n(h,d){return jgt.coerce(e,t,Xgt,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=rV.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=rV.getFromId(o,c);f._imgIndices.push(t._index)}rV.coercePosition(t,o,n,c,u,0)}return t}});var B0e=ye((Dlr,O0e)=>{\"use strict\";var z0e=Fa(),Kgt=So(),MT=ho(),q0e=df(),Jgt=Wp();O0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s<r.images.length;s++){var l=r.images[s];if(l.visible)if(l.layer===\"below\"&&l.xref!==\"paper\"&&l.yref!==\"paper\"){o=q0e.ref2id(l.xref)+q0e.ref2id(l.yref);var u=r._plots[o];if(!u){a.push(l);continue}u.mainplot&&(o=u.mainplot.id),i[o]||(i[o]=[]),i[o].push(l)}else l.layer===\"above\"?n.push(l):a.push(l)}var c={x:{left:{sizing:\"xMin\",offset:0},center:{sizing:\"xMid\",offset:-1/2},right:{sizing:\"xMax\",offset:-1}},y:{top:{sizing:\"YMin\",offset:0},middle:{sizing:\"YMid\",offset:-1/2},bottom:{sizing:\"YMax\",offset:-1}}};function f(T){var L=z0e.select(this);if(this._imgSrc!==T.source)if(L.attr(\"xmlns\",Jgt.svg),!t._context.staticPlot||T.source&&T.source.slice(0,5)===\"data:\")L.attr(\"xlink:href\",T.source),this._imgSrc=T.source;else{var x=new Promise(function(C){var S=new Image;this.img=S,S.setAttribute(\"crossOrigin\",\"anonymous\"),S.onerror=g,S.onload=function(){var P=document.createElement(\"canvas\");P.width=this.width,P.height=this.height;var E=P.getContext(\"2d\",{willReadFrequently:!0});E.drawImage(this,0,0);var z=P.toDataURL(\"image/png\");L.attr(\"xlink:href\",z),C()},L.on(\"error\",g),S.src=T.source,this._imgSrc=T.source;function g(){L.remove(),C()}}.bind(this));t._promises.push(x)}}function h(T){var L=z0e.select(this),x=MT.getFromId(t,T.xref),C=MT.getFromId(t,T.yref),S=MT.getRefType(T.xref)===\"domain\",g=MT.getRefType(T.yref)===\"domain\",P=r._size,E,z;x!==void 0?E=typeof T.xref==\"string\"&&S?x._length*T.sizex:Math.abs(x.l2p(T.sizex)-x.l2p(0)):E=T.sizex*P.w,C!==void 0?z=typeof T.yref==\"string\"&&g?C._length*T.sizey:Math.abs(C.l2p(T.sizey)-C.l2p(0)):z=T.sizey*P.h;var q=E*c.x[T.xanchor].offset,V=z*c.y[T.yanchor].offset,G=c.x[T.xanchor].sizing+c.y[T.yanchor].sizing,Z,j;switch(x!==void 0?Z=typeof T.xref==\"string\"&&S?x._length*T.x+x._offset:x.r2p(T.x)+x._offset:Z=T.x*P.w+P.l,Z+=q,C!==void 0?j=typeof T.yref==\"string\"&&g?C._length*(1-T.y)+C._offset:C.r2p(T.y)+C._offset:j=P.h-T.y*P.h+P.t,j+=V,T.sizing){case\"fill\":G+=\" slice\";break;case\"stretch\":G=\"none\";break}L.attr({x:Z,y:j,width:E,height:z,preserveAspectRatio:G,opacity:T.opacity});var N=x&&MT.getRefType(T.xref)!==\"domain\"?x._id:\"\",H=C&&MT.getRefType(T.yref)!==\"domain\"?C._id:\"\",re=N+H;Kgt.setClipUrl(L,re?\"clip\"+r._uid+re:null,t)}function d(T){return[T.xref,T.x,T.sizex,T.yref,T.y,T.sizey].join(\"_\")}function v(T,L){return T._index-L._index}var m=r._imageLowerLayer.selectAll(\"image\").data(a,d),b=r._imageUpperLayer.selectAll(\"image\").data(n,d);m.enter().append(\"image\"),b.enter().append(\"image\"),m.exit().remove(),b.exit().remove(),m.each(function(T){f.bind(this)(T),h.bind(this)(T)}),b.each(function(T){f.bind(this)(T),h.bind(this)(T)}),m.sort(v),b.sort(v);var p=Object.keys(r._plots);for(s=0;s<p.length;s++){o=p[s];var k=r._plots[o];if(k.imagelayer){var M=k.imagelayer.selectAll(\"image\").data(i[o]||[],d);M.enter().append(\"image\"),M.exit().remove(),M.each(function(T){f.bind(this)(T),h.bind(this)(T)}),M.sort(v)}}}});var V0e=ye((Flr,U0e)=>{\"use strict\";var N0e=Eo(),$gt=E6();U0e.exports=function(t,r,n,i){r=r||{};var a=n===\"log\"&&r.type===\"linear\",o=n===\"linear\"&&r.type===\"log\";if(a||o){for(var s=t._fullLayout.images,l=r._id.charAt(0),u,c,f=0;f<s.length;f++)if(u=s[f],c=\"images[\"+f+\"].\",u[l+\"ref\"]===r._id){var h=u[l],d=u[\"size\"+l],v=null,m=null;if(a){v=$gt(h,r.range);var b=d/Math.pow(10,v)/2;m=2*Math.log(b+Math.sqrt(1+b*b))/Math.LN10}else v=Math.pow(10,h),m=v*(Math.pow(10,d/2)-Math.pow(10,-d/2));N0e(v)?N0e(m)||(m=null):(v=null,m=null),i(c+l,v),i(c+\"size\"+l,m)}}}});var H0e=ye((zlr,G0e)=>{\"use strict\";G0e.exports={moduleType:\"component\",name:\"images\",layoutAttributes:tV(),supplyLayoutDefaults:F0e(),includeBasePlot:KM()(\"images\"),draw:B0e(),convertCoords:V0e()}});var MI=ye((qlr,j0e)=>{\"use 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Qgt=ec(),emt=Ih(),tmt=Ao().extendFlat,rmt=mc().overrideAll,imt=q6(),W0e=vl().templatedArray,nmt=W0e(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});X0e.exports=rmt(W0e(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:nmt,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:tmt(imt({editType:\"arraydraw\"}),{}),font:Qgt({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:emt.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")});var J0e=ye((Blr,K0e)=>{\"use strict\";var EI=Pr(),Z0e=Kd(),Y0e=iV(),amt=MI(),omt=amt.name,smt=Y0e.buttons;K0e.exports=function(t,r){var n={name:omt,handleItemDefaults:lmt};Z0e(t,r,n)};function lmt(e,t,r){function n(o,s){return EI.coerce(e,t,Y0e,o,s)}var i=Z0e(e,t,{name:\"buttons\",handleItemDefaults:umt}),a=n(\"visible\",i.length>0);a&&(n(\"active\"),n(\"direction\"),n(\"type\"),n(\"showactive\"),n(\"x\"),n(\"y\"),EI.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),EI.coerceFont(n,\"font\",r.font),n(\"bgcolor\",r.paper_bgcolor),n(\"bordercolor\"),n(\"borderwidth\"))}function umt(e,t){function r(i,a){return EI.coerce(e,t,smt,i,a)}var n=r(\"visible\",e.method===\"skip\"||Array.isArray(e.args));n&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}});var ege=ye((Nlr,Q0e)=>{\"use strict\";Q0e.exports=Mf;var Ng=Fa(),$0e=ka(),ET=So(),kI=Pr();function Mf(e,t,r){this.gd=e,this.container=t,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}Mf.barWidth=2;Mf.barLength=20;Mf.barRadius=2;Mf.barPad=1;Mf.barColor=\"#808BA4\";Mf.prototype.enable=function(t,r,n){var i=this.gd._fullLayout,a=i.width,o=i.height;this.position=t;var s=this.position.l,l=this.position.w,u=this.position.t,c=this.position.h,f=this.position.direction,h=f===\"down\",d=f===\"left\",v=f===\"right\",m=f===\"up\",b=l,p=c,k,M,T,L;!h&&!d&&!v&&!m&&(this.position.direction=\"down\",h=!0);var x=h||m;x?(k=s,M=k+b,h?(T=u,L=Math.min(T+p,o),p=L-T):(L=u+p,T=Math.max(L-p,0),p=L-T)):(T=u,L=T+p,d?(M=s+b,k=Math.max(M-b,0),b=M-k):(k=s,M=Math.min(k+b,a),b=M-k)),this._box={l:k,t:T,w:b,h:p};var C=l>b,S=Mf.barLength+2*Mf.barPad,g=Mf.barWidth+2*Mf.barPad,P=s,E=u+c;E+g>o&&(E=o-g);var z=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call($0e.fill,Mf.barColor),C?(this.hbar=z.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:P,y:E,width:S,height:g}),this._hbarXMin=P+S/2,this._hbarTranslateMax=b-S):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var q=c>p,V=Mf.barWidth+2*Mf.barPad,G=Mf.barLength+2*Mf.barPad,Z=s+l,j=u;Z+V>a&&(Z=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(q?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call($0e.fill,Mf.barColor),q?(this.vbar=N.attr({rx:Mf.barRadius,ry:Mf.barRadius,x:Z,y:j,width:V,height:G}),this._vbarYMin=j+G/2,this._vbarTranslateMax=p-G):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var H=this.id,re=k-.5,ae=q?M+V+.5:M+.5,_e=T-.5,Ee=C?L+g+.5:L+.5,Ce=i._topdefs.selectAll(\"#\"+H).data(C||q?[0]:[]);if(Ce.exit().remove(),Ce.enter().append(\"clipPath\").attr(\"id\",H).append(\"rect\"),C||q?(this._clipRect=Ce.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(ae)-Math.floor(re),height:Math.ceil(Ee)-Math.floor(_e)}),this.container.call(ET.setClipUrl,H,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(ET.setClipUrl,null),delete this._clipRect),C||q){var ge=Ng.behavior.drag().on(\"dragstart\",function(){Ng.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(ge);var ie=Ng.behavior.drag().on(\"dragstart\",function(){Ng.event.sourceEvent.preventDefault(),Ng.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),q&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};Mf.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(ET.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)};Mf.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=Ng.event.dx),this.vbar&&(r-=Ng.event.dy),this.setTranslate(t,r)};Mf.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=Ng.event.deltaY),this.vbar&&(r+=Ng.event.deltaY),this.setTranslate(t,r)};Mf.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=kI.constrain(Ng.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=kI.constrain(Ng.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};Mf.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=kI.constrain(t||0,0,n),r=kI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(ET.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(ET.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(ET.setTranslate,t,r+o*this._vbarTranslateMax)}}});var cge=ye((Ulr,uge)=>{\"use strict\";var kT=Fa(),y4=Mc(),_4=ka(),CT=So(),t0=Pr(),CI=Zl(),cmt=vl().arrayEditor,rge=Dh().LINE_SPACING,es=MI(),fmt=ege();uge.exports=function(t){var r=t._fullLayout,n=t0.filterVisible(r[es.name]);function i(h){y4.autoMargin(t,sge(h))}var a=r._menulayer.selectAll(\"g.\"+es.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(es.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){kT.select(this).selectAll(\"g.\"+es.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+es.headerGroupClassName).data(n,hmt);o.enter().append(\"g\").classed(es.headerGroupClassName,!0);for(var s=t0.ensureSingle(a,\"g\",es.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l<n.length;l++){var u=n[l];ymt(t,u)}var c=\"updatemenus\"+r._uid,f=new fmt(t,s,c);o.enter().size()&&(s.node().parentNode.appendChild(s.node()),s.call(aV)),o.exit().each(function(h){s.call(aV),i(h)}).remove(),o.each(function(h){var d=kT.select(this),v=h.type===\"dropdown\"?s:null;y4.manageCommandObserver(t,h,h.buttons,function(m){nV(t,h,h.buttons[m.index],d,v,f,m.index,!0)}),h.type===\"dropdown\"?(nge(t,d,s,f,h),ige(s,h)&&x4(t,d,s,f,h)):x4(t,d,null,null,h)})}};function hmt(e){return e._index}function dmt(e){return+e.attr(es.menuIndexAttrName)==-1}function ige(e,t){return+e.attr(es.menuIndexAttrName)===t._index}function nV(e,t,r,n,i,a,o,s){t.active=o,cmt(e.layout,es.name,t).applyUpdate(\"active\",o),t.type===\"buttons\"?x4(e,n,null,null,t):t.type===\"dropdown\"&&(i.attr(es.menuIndexAttrName,\"-1\"),nge(e,n,i,a,t),s||x4(e,n,i,a,t))}function nge(e,t,r,n,i){var a=t0.ensureSingle(t,\"g\",es.headerClassName,function(h){h.style(\"pointer-events\",\"all\")}),o=i._dims,s=i.active,l=i.buttons[s]||es.blankHeaderOpts,u={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},c={width:o.headerWidth,height:o.headerHeight};a.call(oV,i,l,e).call(lge,i,u,c);var f=t0.ensureSingle(t,\"text\",es.headerArrowClassName,function(h){h.attr(\"text-anchor\",\"end\").call(CT.font,i.font).text(es.arrowSymbol[i.direction])});f.attr({x:o.headerWidth-es.arrowOffsetX+i.pad.l,y:o.headerHeight/2+es.textOffsetY+i.pad.t}),a.on(\"click\",function(){r.call(aV,String(ige(r,i)?-1:i._index)),x4(e,t,r,n,i)}),a.on(\"mouseover\",function(){a.call(age)}),a.on(\"mouseout\",function(){a.call(oge,i)}),CT.setTranslate(t,o.lx,o.ly)}function x4(e,t,r,n,i){r||(r=t,r.attr(\"pointer-events\",\"all\"));var a=!dmt(r)||i.type===\"buttons\"?i.buttons:[],o=i.type===\"dropdown\"?es.dropdownButtonClassName:es.buttonClassName,s=r.selectAll(\"g.\"+o).data(t0.filterVisible(a)),l=s.enter().append(\"g\").classed(o,!0),u=s.exit();i.type===\"dropdown\"?(l.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),u.transition().attr(\"opacity\",\"0\").remove()):u.remove();var c=0,f=0,h=i._dims,d=[\"up\",\"down\"].indexOf(i.direction)!==-1;i.type===\"dropdown\"&&(d?f=h.headerHeight+es.gapButtonHeader:c=h.headerWidth+es.gapButtonHeader),i.type===\"dropdown\"&&i.direction===\"up\"&&(f=-es.gapButtonHeader+es.gapButton-h.openHeight),i.type===\"dropdown\"&&i.direction===\"left\"&&(c=-es.gapButtonHeader+es.gapButton-h.openWidth);var v={x:h.lx+c+i.pad.l,y:h.ly+f+i.pad.t,yPad:es.gapButton,xPad:es.gapButton,index:0},m={l:v.x+i.borderwidth,t:v.y+i.borderwidth};s.each(function(b,p){var k=kT.select(this);k.call(oV,i,b,e).call(lge,i,v),k.on(\"click\",function(){kT.event.defaultPrevented||(b.execute&&(b.args2&&i.active===p?(nV(e,i,b,t,r,n,-1),y4.executeAPICommand(e,b.method,b.args2)):(nV(e,i,b,t,r,n,p),y4.executeAPICommand(e,b.method,b.args))),e.emit(\"plotly_buttonclicked\",{menu:i,button:b,active:i.active}))}),k.on(\"mouseover\",function(){k.call(age)}),k.on(\"mouseout\",function(){k.call(oge,i),s.call(tge,i)})}),s.call(tge,i),d?(m.w=Math.max(h.openWidth,h.headerWidth),m.h=v.y-m.t):(m.w=v.x-m.l,m.h=Math.max(h.openHeight,h.headerHeight)),m.direction=i.direction,n&&(s.size()?vmt(e,t,r,n,i,m):pmt(n))}function vmt(e,t,r,n,i,a){var o=i.direction,s=o===\"up\"||o===\"down\",l=i._dims,u=i.active,c,f,h;if(s)for(f=0,h=0;h<u;h++)f+=l.heights[h]+es.gapButton;else for(c=0,h=0;h<u;h++)c+=l.widths[h]+es.gapButton;n.enable(a,c,f),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}function pmt(e){var t=!!e.hbar,r=!!e.vbar;t&&e.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){t=!1,r||e.disable()}),r&&e.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,t||e.disable()})}function oV(e,t,r,n){e.call(gmt,t).call(mmt,t,r,n)}function gmt(e,t){var r=t0.ensureSingle(e,\"rect\",es.itemRectClassName,function(n){n.attr({rx:es.rx,ry:es.ry,\"shape-rendering\":\"crispEdges\"})});r.call(_4.stroke,t.bordercolor).call(_4.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\")}function mmt(e,t,r,n){var i=t0.ensureSingle(e,\"text\",es.itemTextClassName,function(s){s.attr({\"text-anchor\":\"start\",\"data-notex\":1})}),a=r.label,o=n._fullLayout._meta;o&&(a=t0.templateString(a,o)),i.call(CT.font,t.font).text(a).call(CI.convertToTspans,n)}function tge(e,t){var r=t.active;e.each(function(n,i){var a=kT.select(this);i===r&&t.showactive&&a.select(\"rect.\"+es.itemRectClassName).call(_4.fill,es.activeColor)})}function age(e){e.select(\"rect.\"+es.itemRectClassName).call(_4.fill,es.hoverColor)}function oge(e,t){e.select(\"rect.\"+es.itemRectClassName).call(_4.fill,t.bgcolor)}function ymt(e,t){var r=t._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},n=CT.tester.selectAll(\"g.\"+es.dropdownButtonClassName).data(t0.filterVisible(t.buttons));n.enter().append(\"g\").classed(es.dropdownButtonClassName,!0);var i=[\"up\",\"down\"].indexOf(t.direction)!==-1;n.each(function(c,f){var h=kT.select(this);h.call(oV,t,c,e);var d=h.select(\".\"+es.itemTextClassName),v=d.node()&&CT.bBox(d.node()).width,m=Math.max(v+es.textPadX,es.minWidth),b=t.font.size*rge,p=CI.lineCount(d),k=Math.max(b*p,es.minHeight)+es.textOffsetY;k=Math.ceil(k),m=Math.ceil(m),r.widths[f]=m,r.heights[f]=k,r.height1=Math.max(r.height1,k),r.width1=Math.max(r.width1,m),i?(r.totalWidth=Math.max(r.totalWidth,m),r.openWidth=r.totalWidth,r.totalHeight+=k+es.gapButton,r.openHeight+=k+es.gapButton):(r.totalWidth+=m+es.gapButton,r.openWidth+=m+es.gapButton,r.totalHeight=Math.max(r.totalHeight,k),r.openHeight=r.totalHeight)}),i?r.totalHeight-=es.gapButton:r.totalWidth-=es.gapButton,r.headerWidth=r.width1+es.arrowPadX,r.headerHeight=r.height1,t.type===\"dropdown\"&&(i?(r.width1+=es.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=es.arrowPadX),n.remove();var a=r.totalWidth+t.pad.l+t.pad.r,o=r.totalHeight+t.pad.t+t.pad.b,s=e._fullLayout._size;r.lx=s.l+s.w*t.x,r.ly=s.t+s.h*(1-t.y);var l=\"left\";t0.isRightAnchor(t)&&(r.lx-=a,l=\"right\"),t0.isCenterAnchor(t)&&(r.lx-=a/2,l=\"center\");var u=\"top\";t0.isBottomAnchor(t)&&(r.ly-=o,u=\"bottom\"),t0.isMiddleAnchor(t)&&(r.ly-=o/2,u=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),y4.autoMargin(e,sge(t),{x:t.x,y:t.y,l:a*({right:1,center:.5}[l]||0),r:a*({left:1,center:.5}[l]||0),b:o*({top:1,middle:.5}[u]||0),t:o*({bottom:1,middle:.5}[u]||0)})}function sge(e){return es.autoMarginIdRoot+e._index}function lge(e,t,r,n){n=n||{};var i=e.select(\".\"+es.itemRectClassName),a=e.select(\".\"+es.itemTextClassName),o=t.borderwidth,s=r.index,l=t._dims;CT.setTranslate(e,o+r.x,o+r.y);var u=[\"up\",\"down\"].indexOf(t.direction)!==-1,c=n.height||(u?l.heights[s]:l.height1);i.attr({x:0,y:0,width:n.width||(u?l.width1:l.widths[s]),height:c});var f=t.font.size*rge,h=CI.lineCount(a),d=(h-1)*f/2;CI.positionText(a,es.textOffsetX,c/2-d+es.textOffsetY),u?r.y+=l.heights[s]+r.yPad:r.x+=l.widths[s]+r.xPad,r.index++}function aV(e,t){e.attr(es.menuIndexAttrName,t||\"-1\").selectAll(\"g.\"+es.dropdownButtonClassName).remove()}});var hge=ye((Vlr,fge)=>{\"use strict\";var _mt=MI();fge.exports={moduleType:\"component\",name:_mt.name,layoutAttributes:iV(),supplyLayoutDefaults:J0e(),draw:cge()}});var b4=ye((Glr,dge)=>{\"use strict\";dge.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}});var sV=ye((Hlr,gge)=>{\"use strict\";var vge=ec(),xmt=q6(),bmt=Ao().extendDeepAll,wmt=mc().overrideAll,Tmt=YS(),pge=vl().templatedArray,f2=b4(),Amt=pge(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});gge.exports=wmt(pge(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:Amt,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:bmt(xmt({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:Tmt.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:vge({})},font:vge({}),activebgcolor:{valType:\"color\",dflt:f2.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:f2.railBgColor},bordercolor:{valType:\"color\",dflt:f2.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:f2.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:f2.tickLength},tickcolor:{valType:\"color\",dflt:f2.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:f2.minorTickLength}}),\"arraydraw\",\"from-root\")});var xge=ye((jlr,_ge)=>{\"use strict\";var LT=Pr(),mge=Kd(),yge=sV(),Smt=b4(),Mmt=Smt.name,Emt=yge.steps;_ge.exports=function(t,r){mge(t,r,{name:Mmt,handleItemDefaults:kmt})};function kmt(e,t,r){function n(f,h){return LT.coerce(e,t,yge,f,h)}for(var i=mge(e,t,{name:\"steps\",handleItemDefaults:Cmt}),a=0,o=0;o<i.length;o++)i[o].visible&&a++;var s;if(a<2?s=t.visible=!1:s=n(\"visible\"),!!s){t._stepCount=a;var l=t._visibleSteps=LT.filterVisible(i),u=n(\"active\");(i[u]||{}).visible||(t.active=l[0]._index),n(\"x\"),n(\"y\"),LT.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"len\"),n(\"lenmode\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),LT.coerceFont(n,\"font\",r.font);var c=n(\"currentvalue.visible\");c&&(n(\"currentvalue.xanchor\"),n(\"currentvalue.prefix\"),n(\"currentvalue.suffix\"),n(\"currentvalue.offset\"),LT.coerceFont(n,\"currentvalue.font\",t.font)),n(\"transition.duration\"),n(\"transition.easing\"),n(\"bgcolor\"),n(\"activebgcolor\"),n(\"bordercolor\"),n(\"borderwidth\"),n(\"ticklen\"),n(\"tickwidth\"),n(\"tickcolor\"),n(\"minorticklen\")}}function Cmt(e,t){function r(a,o){return LT.coerce(e,t,Emt,a,o)}var n;if(e.method!==\"skip\"&&!Array.isArray(e.args)?n=t.visible=!1:n=r(\"visible\"),n){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+t._index);r(\"value\",i),r(\"execute\")}}});var Lge=ye((Wlr,Cge)=>{\"use strict\";var Ug=Fa(),LI=Mc(),C_=ka(),Vg=So(),r0=Pr(),Lmt=r0.strTranslate,w4=Zl(),Pmt=vl().arrayEditor,Rs=b4(),cV=Dh(),Tge=cV.LINE_SPACING,lV=cV.FROM_TL,uV=cV.FROM_BR;Cge.exports=function(t){var r=t._context.staticPlot,n=t._fullLayout,i=Imt(n,t),a=n._infolayer.selectAll(\"g.\"+Rs.containerClassName).data(i.length>0?[0]:[]);a.enter().append(\"g\").classed(Rs.containerClassName,!0).style(\"cursor\",r?null:\"ew-resize\");function o(c){c._commandObserver&&(c._commandObserver.remove(),delete c._commandObserver),LI.autoMargin(t,Age(c))}if(a.exit().each(function(){Ug.select(this).selectAll(\"g.\"+Rs.groupClassName).each(o)}).remove(),i.length!==0){var s=a.selectAll(\"g.\"+Rs.groupClassName).data(i,Rmt);s.enter().append(\"g\").classed(Rs.groupClassName,!0),s.exit().each(o).remove();for(var l=0;l<i.length;l++){var u=i[l];Dmt(t,u)}s.each(function(c){var f=Ug.select(this);Bmt(c),LI.manageCommandObserver(t,c,c._visibleSteps,function(h){var d=f.data()[0];d.active!==h.index&&(d._dragging||Mge(t,f,d,h.index,!1,!0))}),Fmt(t,Ug.select(this),c)})}};function Age(e){return Rs.autoMarginIdRoot+e._index}function Imt(e,t){for(var r=e[Rs.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=t,n.push(a))}return n}function Rmt(e){return e._index}function Dmt(e,t){var r=Vg.tester.selectAll(\"g.\"+Rs.labelGroupClass).data(t._visibleSteps);r.enter().append(\"g\").classed(Rs.labelGroupClass,!0);var n=0,i=0;r.each(function(v){var m=Ug.select(this),b=Sge(m,{step:v},t),p=b.node();if(p){var k=Vg.bBox(p);i=Math.max(i,k.height),n=Math.max(n,k.width)}}),r.remove();var a=t._dims={};a.inputAreaWidth=Math.max(Rs.railWidth,Rs.gripHeight);var o=e._fullLayout._size;a.lx=o.l+o.w*t.x,a.ly=o.t+o.h*(1-t.y),t.lenmode===\"fraction\"?a.outerLength=Math.round(o.w*t.len):a.outerLength=t.len,a.inputAreaStart=0,a.inputAreaLength=Math.round(a.outerLength-t.pad.l-t.pad.r);var s=a.inputAreaLength-2*Rs.stepInset,l=s/(t._stepCount-1),u=n+Rs.labelPadding;if(a.labelStride=Math.max(1,Math.ceil(u/l)),a.labelHeight=i,a.currentValueMaxWidth=0,a.currentValueHeight=0,a.currentValueTotalHeight=0,a.currentValueMaxLines=1,t.currentvalue.visible){var c=Vg.tester.append(\"g\");r.each(function(v){var m=PI(c,t,v.label),b=m.node()&&Vg.bBox(m.node())||{width:0,height:0},p=w4.lineCount(m);a.currentValueMaxWidth=Math.max(a.currentValueMaxWidth,Math.ceil(b.width)),a.currentValueHeight=Math.max(a.currentValueHeight,Math.ceil(b.height)),a.currentValueMaxLines=Math.max(a.currentValueMaxLines,p)}),a.currentValueTotalHeight=a.currentValueHeight+t.currentvalue.offset,c.remove()}a.height=a.currentValueTotalHeight+Rs.tickOffset+t.ticklen+Rs.labelOffset+a.labelHeight+t.pad.t+t.pad.b;var f=\"left\";r0.isRightAnchor(t)&&(a.lx-=a.outerLength,f=\"right\"),r0.isCenterAnchor(t)&&(a.lx-=a.outerLength/2,f=\"center\");var h=\"top\";r0.isBottomAnchor(t)&&(a.ly-=a.height,h=\"bottom\"),r0.isMiddleAnchor(t)&&(a.ly-=a.height/2,h=\"middle\"),a.outerLength=Math.ceil(a.outerLength),a.height=Math.ceil(a.height),a.lx=Math.round(a.lx),a.ly=Math.round(a.ly);var d={y:t.y,b:a.height*uV[h],t:a.height*lV[h]};t.lenmode===\"fraction\"?(d.l=0,d.xl=t.x-t.len*lV[f],d.r=0,d.xr=t.x+t.len*uV[f]):(d.x=t.x,d.l=a.outerLength*lV[f],d.r=a.outerLength*uV[f]),LI.autoMargin(e,Age(t),d)}function Fmt(e,t,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),t.call(PI,r).call(Umt,r).call(qmt,r).call(Omt,r).call(Nmt,e,r).call(zmt,e,r);var n=r._dims;Vg.setTranslate(t,n.lx+r.pad.l,n.ly+r.pad.t),t.call(kge,r,!1),t.call(PI,r)}function PI(e,t,r){if(t.currentvalue.visible){var n=t._dims,i,a;switch(t.currentvalue.xanchor){case\"right\":i=n.inputAreaLength-Rs.currentValueInset-n.currentValueMaxWidth,a=\"left\";break;case\"center\":i=n.inputAreaLength*.5,a=\"middle\";break;default:i=Rs.currentValueInset,a=\"left\"}var o=r0.ensureSingle(e,\"text\",Rs.labelClass,function(h){h.attr({\"text-anchor\":a,\"data-notex\":1})}),s=t.currentvalue.prefix?t.currentvalue.prefix:\"\";if(typeof r==\"string\")s+=r;else{var l=t.steps[t.active].label,u=t._gd._fullLayout._meta;u&&(l=r0.templateString(l,u)),s+=l}t.currentvalue.suffix&&(s+=t.currentvalue.suffix),o.call(Vg.font,t.currentvalue.font).text(s).call(w4.convertToTspans,t._gd);var c=w4.lineCount(o),f=(n.currentValueMaxLines+1-c)*t.currentvalue.font.size*Tge;return w4.positionText(o,i,f),o}}function zmt(e,t,r){var n=r0.ensureSingle(e,\"rect\",Rs.gripRectClass,function(i){i.call(Ege,t,e,r).style(\"pointer-events\",\"all\")});n.attr({width:Rs.gripWidth,height:Rs.gripHeight,rx:Rs.gripRadius,ry:Rs.gripRadius}).call(C_.stroke,r.bordercolor).call(C_.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function Sge(e,t,r){var n=r0.ensureSingle(e,\"text\",Rs.labelClass,function(o){o.attr({\"text-anchor\":\"middle\",\"data-notex\":1})}),i=t.step.label,a=r._gd._fullLayout._meta;return a&&(i=r0.templateString(i,a)),n.call(Vg.font,r.font).text(i).call(w4.convertToTspans,r._gd),n}function qmt(e,t){var r=r0.ensureSingle(e,\"g\",Rs.labelsClass),n=t._dims,i=r.selectAll(\"g.\"+Rs.labelGroupClass).data(n.labelSteps);i.enter().append(\"g\").classed(Rs.labelGroupClass,!0),i.exit().remove(),i.each(function(a){var o=Ug.select(this);o.call(Sge,a,t),Vg.setTranslate(o,fV(t,a.fraction),Rs.tickOffset+t.ticklen+t.font.size*Tge+Rs.labelOffset+n.currentValueTotalHeight)})}function bge(e,t,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&Mge(e,t,r,o,!0,i)}function Mge(e,t,r,n,i,a){var o=r.active;r.active=n,Pmt(e.layout,Rs.name,r).applyUpdate(\"active\",n);var s=r.steps[r.active];t.call(kge,r,a),t.call(PI,r),e.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:i,previousActive:o}),s&&s.method&&i&&(t._nextMethod?(t._nextMethod.step=s,t._nextMethod.doCallback=i,t._nextMethod.doTransition=a):(t._nextMethod={step:s,doCallback:i,doTransition:a},t._nextMethodRaf=window.requestAnimationFrame(function(){var l=t._nextMethod.step;l.method&&(l.execute&&LI.executeAPICommand(e,l.method,l.args),t._nextMethod=null,t._nextMethodRaf=null)})))}function Ege(e,t,r){if(t._context.staticPlot)return;var n=r.node(),i=Ug.select(t);function a(){return r.data()[0]}function o(){var s=a();t.emit(\"plotly_sliderstart\",{slider:s});var l=r.select(\".\"+Rs.gripRectClass);Ug.event.stopPropagation(),Ug.event.preventDefault(),l.call(C_.fill,s.activebgcolor);var u=wge(s,Ug.mouse(n)[0]);bge(t,r,s,u,!0),s._dragging=!0;function c(){var h=a(),d=wge(h,Ug.mouse(n)[0]);bge(t,r,h,d,!1)}i.on(\"mousemove\",c),i.on(\"touchmove\",c);function f(){var h=a();h._dragging=!1,l.call(C_.fill,h.bgcolor),i.on(\"mouseup\",null),i.on(\"mousemove\",null),i.on(\"touchend\",null),i.on(\"touchmove\",null),t.emit(\"plotly_sliderend\",{slider:h,step:h.steps[h.active]})}i.on(\"mouseup\",f),i.on(\"touchend\",f)}e.on(\"mousedown\",o),e.on(\"touchstart\",o)}function Omt(e,t){var r=e.selectAll(\"rect.\"+Rs.tickRectClass).data(t._visibleSteps),n=t._dims;r.enter().append(\"rect\").classed(Rs.tickRectClass,!0),r.exit().remove(),r.attr({width:t.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each(function(i,a){var o=a%n.labelStride===0,s=Ug.select(this);s.attr({height:o?t.ticklen:t.minorticklen}).call(C_.fill,t.tickcolor),Vg.setTranslate(s,fV(t,a/(t._stepCount-1))-.5*t.tickwidth,(o?Rs.tickOffset:Rs.minorTickOffset)+n.currentValueTotalHeight)})}function Bmt(e){var t=e._dims;t.labelSteps=[];for(var r=e._stepCount,n=0;n<r;n+=t.labelStride)t.labelSteps.push({fraction:n/(r-1),step:e._visibleSteps[n]})}function kge(e,t,r){for(var n=e.select(\"rect.\"+Rs.gripRectClass),i=0,a=0;a<t._stepCount;a++)if(t._visibleSteps[a]._index===t.active){i=a;break}var o=fV(t,i/(t._stepCount-1));if(!t._invokingCommand){var s=n;r&&t.transition.duration>0&&(s=s.transition().duration(t.transition.duration).ease(t.transition.easing)),s.attr(\"transform\",Lmt(o-Rs.gripWidth*.5,t._dims.currentValueTotalHeight))}}function fV(e,t){var r=e._dims;return r.inputAreaStart+Rs.stepInset+(r.inputAreaLength-2*Rs.stepInset)*Math.min(1,Math.max(0,t))}function wge(e,t){var r=e._dims;return Math.min(1,Math.max(0,(t-Rs.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*Rs.stepInset-2*r.inputAreaStart)))}function Nmt(e,t,r){var n=r._dims,i=r0.ensureSingle(e,\"rect\",Rs.railTouchRectClass,function(a){a.call(Ege,t,e,r).style(\"pointer-events\",\"all\")});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,Rs.tickOffset+r.ticklen+n.labelHeight)}).call(C_.fill,r.bgcolor).attr(\"opacity\",0),Vg.setTranslate(i,0,n.currentValueTotalHeight)}function Umt(e,t){var r=t._dims,n=r.inputAreaLength-Rs.railInset*2,i=r0.ensureSingle(e,\"rect\",Rs.railRectClass);i.attr({width:n,height:Rs.railWidth,rx:Rs.railRadius,ry:Rs.railRadius,\"shape-rendering\":\"crispEdges\"}).call(C_.stroke,t.bordercolor).call(C_.fill,t.bgcolor).style(\"stroke-width\",t.borderwidth+\"px\"),Vg.setTranslate(i,Rs.railInset,(r.inputAreaWidth-Rs.railWidth)*.5+r.currentValueTotalHeight)}});var Ige=ye((Xlr,Pge)=>{\"use strict\";var Vmt=b4();Pge.exports={moduleType:\"component\",name:Vmt.name,layoutAttributes:sV(),supplyLayoutDefaults:xge(),draw:Lge()}});var II=ye((Zlr,Dge)=>{\"use strict\";var Rge=Ih();Dge.exports={bgcolor:{valType:\"color\",dflt:Rge.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:Rge.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 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Gmt=df(),Hmt=Zl(),qge=RI(),jmt=Dh().LINE_SPACING,DI=qge.name;function Oge(e){var t=e&&e[DI];return t&&t.visible}FI.isVisible=Oge;FI.makeData=function(e){for(var t=Gmt.list({_fullLayout:e},\"x\",!0),r=e.margin,n=[],i=0;i<t.length;i++){var a=t[i];if(Oge(a)){n.push(a);var o=a[DI];o._id=DI+a._id,o._height=(e.height-r.b-r.t)*o.thickness,o._offsetShift=Math.floor(o.borderwidth/2)}}e._rangeSliderData=n};FI.autoMarginOpts=function(e,t){var r=e._fullLayout,n=t[DI],i=t._id.charAt(0),a=0,o=0;if(t.side===\"bottom\"&&(a=t._depth,t.title.text!==r._dfltTitle[i])){o=1.5*t.title.font.size+10+n._offsetShift;var s=(t.title.text.match(Hmt.BR_TAG_ALL)||[]).length;o+=s*t.title.font.size*jmt}return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:n._height+a+Math.max(r.margin.b,o),pad:qge.extraPad+n._offsetShift*2}}});var Gge=ye(($lr,Vge)=>{\"use strict\";var zI=Pr(),Nge=vl(),Uge=df(),Wmt=II(),Xmt=hV();Vge.exports=function(t,r,n){var i=t[n],a=r[n];if(!(i.rangeslider||r._requestRangeslider[a._id]))return;zI.isPlainObject(i.rangeslider)||(i.rangeslider={});var o=i.rangeslider,s=Nge.newContainer(a,\"rangeslider\");function l(L,x){return zI.coerce(o,s,Wmt,L,x)}var u,c;function f(L,x){return zI.coerce(u,c,Xmt,L,x)}var h=l(\"visible\");if(h){l(\"bgcolor\",r.plot_bgcolor),l(\"bordercolor\"),l(\"borderwidth\"),l(\"thickness\"),l(\"autorange\",!a.isValidRange(o.range)),l(\"range\");var d=r._subplots;if(d)for(var v=d.cartesian.filter(function(L){return L.slice(0,Math.max(0,L.indexOf(\"y\")))===Uge.name2id(n)}).map(function(L){return L.slice(L.indexOf(\"y\"),L.length)}),m=zI.simpleMap(v,Uge.id2name),b=0;b<m.length;b++){var p=m[b];u=o[p]||{},c=Nge.newContainer(s,p,\"yaxis\");var k=r[p],M;u.range&&k.isValidRange(u.range)&&(M=\"fixed\");var T=f(\"rangemode\",M);T!==\"match\"&&f(\"range\",k.range.slice())}s._input=o}}});var jge=ye((Qlr,Hge)=>{\"use strict\";var Zmt=df().list,Ymt=Mg().getAutoRange,Kmt=RI();Hge.exports=function(t){for(var r=Zmt(t,\"x\",!0),n=0;n<r.length;n++){var i=r[n],a=i[Kmt.name];a&&a.visible&&a.autorange&&(a._input.autorange=!0,a._input.range=a.range=Ymt(t,i))}}});var Yge=ye((eur,Zge)=>{\"use strict\";var qI=Fa(),Jmt=Oa(),$mt=Mc(),Jf=Pr(),OI=Jf.strTranslate,Xge=So(),L_=ka(),Qmt=qb(),eyt=mh(),dV=df(),tyt=yv(),ryt=Eg(),tl=RI();Zge.exports=function(e){for(var t=e._fullLayout,r=t._rangeSliderData,n=0;n<r.length;n++){var i=r[n][tl.name];i._clipId=i._id+\"-\"+t._uid}function a(s){return s._name}var o=t._infolayer.selectAll(\"g.\"+tl.containerClassName).data(r,a);o.exit().each(function(s){var l=s[tl.name];t._topdefs.select(\"#\"+l._clipId).remove()}).remove(),r.length!==0&&(o.enter().append(\"g\").classed(tl.containerClassName,!0).attr(\"pointer-events\",\"all\"),o.each(function(s){var l=qI.select(this),u=s[tl.name],c=t[dV.id2name(s.anchor)],f=u[dV.id2name(s.anchor)];if(u.range){var h=Jf.simpleMap(u.range,s.r2l),d=Jf.simpleMap(s.range,s.r2l),v;d[0]<d[1]?v=[Math.min(h[0],d[0]),Math.max(h[1],d[1])]:v=[Math.max(h[0],d[0]),Math.min(h[1],d[1])],u.range=u._input.range=Jf.simpleMap(v,s.l2r)}s.cleanRange(\"rangeslider.range\");var m=t._size,b=s.domain;u._width=m.w*(b[1]-b[0]);var p=Math.round(m.l+m.w*b[0]),k=Math.round(m.t+m.h*(1-s._counterDomainMin)+(s.side===\"bottom\"?s._depth:0)+u._offsetShift+tl.extraPad);l.attr(\"transform\",OI(p,k)),u._rl=Jf.simpleMap(u.range,s.r2l);var M=u._rl[0],T=u._rl[1],L=T-M;if(u.p2d=function(G){return G/u._width*L+M},u.d2p=function(G){return(G-M)/L*u._width},s.rangebreaks){var x=s.locateBreaks(M,T);if(x.length){var C,S,g=0;for(C=0;C<x.length;C++)S=x[C],g+=S.max-S.min;var P=u._width/(T-M-g),E=[-P*M];for(C=0;C<x.length;C++)S=x[C],E.push(E[E.length-1]-P*(S.max-S.min));for(u.d2p=function(G){for(var Z=E[0],j=0;j<x.length;j++){var N=x[j];if(G>=N.max)Z=E[j+1];else if(G<N.min)break}return 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i=e.select(\"rect.\"+tl.slideBoxClassName).node(),a=e.select(\"rect.\"+tl.grabAreaMinClassName).node(),o=e.select(\"rect.\"+tl.grabAreaMaxClassName).node();function s(){var l=qI.event,u=l.target,c=Wge(l),f=c-e.node().getBoundingClientRect().left,h=n.d2p(r._rl[0]),d=n.d2p(r._rl[1]),v=tyt.coverSlip();this.addEventListener(\"touchmove\",m),this.addEventListener(\"touchend\",b),v.addEventListener(\"mousemove\",m),v.addEventListener(\"mouseup\",b);function m(p){var k=Wge(p),M=+k-c,T,L,x;switch(u){case i:if(x=\"ew-resize\",h+M>r._length||d+M<0)return;T=h+M,L=d+M;break;case a:if(x=\"col-resize\",h+M>r._length)return;T=h+M,L=d;break;case o:if(x=\"col-resize\",d+M<0)return;T=h,L=d+M;break;default:x=\"ew-resize\",T=f,L=f+M;break}if(L<T){var C=L;L=T,T=C}n._pixelMin=T,n._pixelMax=L,ryt(qI.select(v),x),nyt(e,t,r,n)}function 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Ome=ye((gur,qme)=>{\"use strict\";var T4=Pr(),zme=mc().overrideAll,A4=TV(),h2={error_x:T4.extendFlat({},A4),error_y:T4.extendFlat({},A4)};delete h2.error_x.copy_zstyle;delete h2.error_y.copy_zstyle;delete h2.error_y.copy_ystyle;var S4={error_x:T4.extendFlat({},A4),error_y:T4.extendFlat({},A4),error_z:T4.extendFlat({},A4)};delete S4.error_x.copy_ystyle;delete S4.error_y.copy_ystyle;delete S4.error_z.copy_ystyle;delete S4.error_z.copy_zstyle;qme.exports={moduleType:\"component\",name:\"errorbars\",schema:{traces:{scatter:h2,bar:h2,histogram:h2,scatter3d:zme(S4,\"calc\",\"nested\"),scattergl:zme(h2,\"calc\",\"nested\")}},supplyDefaults:Ame(),calc:Cme(),makeComputeError:AV(),plot:Ime(),style:Fme(),hoverInfo:t1t};function t1t(e,t,r){(t.error_y||{}).visible&&(r.yerr=e.yh-e.y,t.error_y.symmetric||(r.yerrneg=e.y-e.ys)),(t.error_x||{}).visible&&(r.xerr=e.xh-e.x,t.error_x.symmetric||(r.xerrneg=e.x-e.xs))}});var Nme=ye((mur,Bme)=>{\"use 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pt=e.select(\".\"+gf.cbfills).selectAll(\"rect.\"+gf.cbfill).attr(\"style\",\"\").data(V);pt.enter().append(\"rect\").classed(gf.cbfill,!0).attr(\"style\",\"\"),pt.exit().remove();var jt=g.map(ke.c2p).map(Math.round).sort(function(qr,jr){return qr-jr});pt.each(function(qr,jr){var gt=[jr===0?g[0]:(V[jr]+V[jr-1])/2,jr===V.length-1?g[1]:(V[jr]+V[jr+1])/2].map(ke.c2p).map(Math.round);n&&(gt[1]=U0.constrain(gt[1]+(gt[1]>gt[0])?1:-1,jt[0],jt[1]));var Ge=I_.select(this).attr(n?\"x\":\"y\",_e).attr(n?\"y\":\"x\",I_.min(gt)).attr(n?\"width\":\"height\",Math.max(Z,2)).attr(n?\"height\":\"width\",Math.max(I_.max(gt)-I_.min(gt),2));if(t._fillgradient)Gg.gradient(Ge,r,t._id,n?\"vertical\":\"horizontalreversed\",t._fillgradient,\"fill\");else{var Je=E(qr).replace(\"e-\",\"\");Ge.attr(\"fill\",EV(Je).toHexString())}});var 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ZI=ye((Cur,bye)=>{\"use strict\";bye.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}});var YI=ye((Lur,Aye)=>{\"use strict\";var D1t=ka(),wye=pv().hasColorscale,Tye=td(),F1t=Pr().coercePattern;Aye.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=wye(t,\"marker\");s&&Tye(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",D1t.defaultLine),wye(t,\"marker.line\")&&Tye(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),F1t(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var i0=ye((Pur,Lye)=>{\"use strict\";var 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t.barmode;return}l!==\"overlay\"&&n(\"barnorm\"),n(\"bargap\",a&&!o?0:.2),n(\"bargroupgap\");var v=n(\"barcornerradius\");t.barcornerradius=X1t(v)}});var E4=ye((Rur,Iye)=>{\"use strict\";var RT=Pr();Iye.exports=function(t,r){for(var n=0;n<t.length;n++)t[n].i=n;RT.mergeArray(r.text,t,\"tx\"),RT.mergeArray(r.hovertext,t,\"htx\");var i=r.marker;if(i){RT.mergeArray(i.opacity,t,\"mo\",!0),RT.mergeArray(i.color,t,\"mc\");var a=i.line;a&&(RT.mergeArray(a.color,t,\"mlc\"),RT.mergeArrayCastPositive(a.width,t,\"mlw\"))}}});var Oye=ye((Dur,qye)=>{\"use strict\";var Rye=ho(),Dye=zg(),Fye=pv().hasColorscale,zye=gv(),Z1t=E4(),Y1t=q0();qye.exports=function(t,r){var n=Rye.getFromId(t,r.xaxis||\"x\"),i=Rye.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f={msUTC:!!(r.base||r.base===0)};r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\",f),s=i.makeCalcdata(r,\"y\"),l=Dye(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\",f),s=n.makeCalcdata(r,\"x\"),l=Dye(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var h=Math.min(o.length,a.length),d=new Array(h),v=0;v<h;v++)d[v]={p:o[v],s:a[v]},u&&(d[v].orig_p=s[v],d[v][c+\"End\"]=l.ends[v],d[v][c+\"Start\"]=l.starts[v]),r.ids&&(d[v].id=String(r.ids[v]));return Fye(r,\"marker\")&&zye(t,r,{vals:r.marker.color,containerStr:\"marker\",cLetter:\"c\"}),Fye(r,\"marker.line\")&&zye(t,r,{vals:r.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),Z1t(d,r),Y1t(d,r),d}});var bv=ye((Fur,Nye)=>{\"use strict\";var K1t=Fa(),J1t=Pr();function $1t(e,t,r){var n=e._fullLayout,i=n[\"_\"+r+\"Text_minsize\"];if(i){var a=n.uniformtext.mode===\"hide\",o;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":o=\"g.slice\";break;case\"treemap\":case\"icicle\":o=\"g.slice, g.pathbar\";break;default:o=\"g.points > g.point\"}t.selectAll(o).each(function(s){var l=s.transform;if(l){l.scale=a&&l.hide?0:i/l.fontSize;var u=K1t.select(this).select(\"text\");J1t.setTransormAndDisplay(u,l)}})}}function Q1t(e,t,r){if(r.uniformtext.mode){var n=Bye(e),i=r.uniformtext.minsize,a=t.scale*t.fontSize;t.hide=a<i,r[n]=r[n]||1/0,t.hide||(r[n]=Math.min(r[n],Math.max(a,i)))}}function e_t(e,t){var r=Bye(e);t[r]=void 0}function Bye(e){return\"_\"+e+\"Text_minsize\"}Nye.exports={recordMinTextSize:Q1t,clearMinTextSize:e_t,resizeText:$1t}});var JI=ye(v2=>{\"use strict\";var t_t=Eo(),r_t=fd(),Uye=Pr().isArrayOrTypedArray;v2.coerceString=function(e,t,r){if(typeof t==\"string\"){if(t||!e.noBlank)return t}else if((typeof t==\"number\"||t===!0)&&!e.strict)return String(t);return r!==void 0?r:e.dflt};v2.coerceNumber=function(e,t,r){if(t_t(t)){t=+t;var n=e.min,i=e.max,a=n!==void 0&&t<n||i!==void 0&&t>i;if(!a)return t}return r!==void 0?r:e.dflt};v2.coerceColor=function(e,t,r){return r_t(t).isValid()?t:r!==void 0?r:e.dflt};v2.coerceEnumerated=function(e,t,r){return e.coerceNumber&&(t=+t),e.values.indexOf(t)!==-1?t:r!==void 0?r:e.dflt};v2.getValue=function(e,t){var r;return Uye(e)?t<e.length&&(r=e[t]):r=e,r};v2.getLineWidth=function(e,t){var r=0<t.mlw?t.mlw:Uye(e.marker.line.width)?0:e.marker.line.width;return r}});var V0=ye((qur,$ye)=>{\"use strict\";var k4=Fa(),i_t=ka(),C4=So(),Vye=Pr(),Gye=Oa(),Hye=bv().resizeText,qV=qm(),n_t=qV.textfont,a_t=qV.insidetextfont,o_t=qV.outsidetextfont,ev=JI();function s_t(e){var t=k4.select(e).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");Hye(e,t,\"bar\");var r=t.size(),n=e._fullLayout;t.style(\"opacity\",function(i){return i[0].trace.opacity}).each(function(i){(n.barmode===\"stack\"&&r>1||n.bargap===0&&n.bargroupgap===0&&!i[0].trace.marker.line.width)&&k4.select(this).attr(\"shape-rendering\",\"crispEdges\")}),t.selectAll(\"g.points\").each(function(i){var a=k4.select(this),o=i[0].trace;jye(a,o,e)}),Gye.getComponentMethod(\"errorbars\",\"style\")(t)}function jye(e,t,r){C4.pointStyle(e.selectAll(\"path\"),t,r),Wye(e,t,r)}function Wye(e,t,r){e.selectAll(\"text\").each(function(n){var i=k4.select(this),a=Vye.ensureUniformFontSize(r,Xye(i,n,t,r));C4.font(i,a)})}function l_t(e,t,r){var n=t[0].trace;n.selectedpoints?u_t(r,n,e):(jye(r,n,e),Gye.getComponentMethod(\"errorbars\",\"style\")(r))}function u_t(e,t,r){C4.selectedPointStyle(e.selectAll(\"path\"),t),c_t(e.selectAll(\"text\"),t,r)}function c_t(e,t,r){e.each(function(n){var i=k4.select(this),a;if(n.selected){a=Vye.ensureUniformFontSize(r,Xye(i,n,t,r));var o=t.selected.textfont&&t.selected.textfont.color;o&&(a.color=o),C4.font(i,a)}else C4.selectedTextStyle(i,t)})}function Xye(e,t,r,n){var i=n._fullLayout.font,a=r.textfont;if(e.classed(\"bartext-inside\")){var o=Jye(t,r);a=Yye(r,t.i,i,o)}else e.classed(\"bartext-outside\")&&(a=Kye(r,t.i,i));return a}function Zye(e,t,r){return OV(n_t,e.textfont,t,r)}function Yye(e,t,r,n){var i=Zye(e,t,r),a=e._input.textfont===void 0||e._input.textfont.color===void 0||Array.isArray(e.textfont.color)&&e.textfont.color[t]===void 0;return a&&(i={color:i_t.contrast(n),family:i.family,size:i.size,weight:i.weight,style:i.style,variant:i.variant,textcase:i.textcase,lineposition:i.lineposition,shadow:i.shadow}),OV(a_t,e.insidetextfont,t,i)}function Kye(e,t,r){var n=Zye(e,t,r);return OV(o_t,e.outsidetextfont,t,n)}function OV(e,t,r,n){t=t||{};var i=ev.getValue(t.family,r),a=ev.getValue(t.size,r),o=ev.getValue(t.color,r),s=ev.getValue(t.weight,r),l=ev.getValue(t.style,r),u=ev.getValue(t.variant,r),c=ev.getValue(t.textcase,r),f=ev.getValue(t.lineposition,r),h=ev.getValue(t.shadow,r);return{family:ev.coerceString(e.family,i,n.family),size:ev.coerceNumber(e.size,a,n.size),color:ev.coerceColor(e.color,o,n.color),weight:ev.coerceString(e.weight,s,n.weight),style:ev.coerceString(e.style,l,n.style),variant:ev.coerceString(e.variant,u,n.variant),textcase:ev.coerceString(e.variant,c,n.textcase),lineposition:ev.coerceString(e.variant,f,n.lineposition),shadow:ev.coerceString(e.variant,h,n.shadow)}}function Jye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}$ye.exports={style:s_t,styleTextPoints:Wye,styleOnSelect:l_t,getInsideTextFont:Yye,getOutsideTextFont:Kye,getBarColor:Jye,resizeText:Hye}});var g2=ye((Our,o1e)=>{\"use strict\";var $I=Fa(),QI=Eo(),Fd=Pr(),f_t=Zl(),h_t=ka(),R_=So(),d_t=Oa(),e8=ho().tickText,Qye=bv(),v_t=Qye.recordMinTextSize,p_t=Qye.clearMinTextSize,BV=V0(),DT=JI(),g_t=S_(),e1e=qm(),m_t=e1e.text,y_t=e1e.textposition,__t=ip().appendArrayPointValue,Gv=g_t.TEXTPAD;function x_t(e){return e.id}function b_t(e){if(e.ids)return x_t}function NV(e){return(e>0)-(e<0)}function Om(e,t){return e<t?1:-1}function w_t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),n?[i,a]:[a,i]}function t1e(e,t,r,n){if(!t.uniformtext.mode&&r1e(r)){var i;return n&&(i=n()),e.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){i&&i()}).each(\"interrupt\",function(){i&&i()})}else return e}function r1e(e){return e&&e.duration>0}function T_t(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},p_t(\"bar\",l));var c=Fd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=$I.select(this),d=f[0].trace,v=f[0].t,m=d.type===\"waterfall\",b=d.type===\"funnel\",p=d.type===\"histogram\",k=d.type===\"bar\",M=k||b,T=0;m&&d.connector.visible&&d.connector.mode===\"between\"&&(T=d.connector.line.width/2);var L=d.orientation===\"h\",x=r1e(i),C=Fd.ensureSingle(h,\"g\",\"points\"),S=b_t(d),g=C.selectAll(\"g.point\").data(Fd.identity,S);g.enter().append(\"g\").classed(\"point\",!0),g.exit().remove(),g.each(function(E,z){var q=$I.select(this),V=w_t(E,o,s,L),G=V[0][0],Z=V[0][1],j=V[1][0],N=V[1][1],H=(L?Z-G:N-j)===0;H&&M&&DT.getLineWidth(d,E)&&(H=!1),H||(H=!QI(G)||!QI(Z)||!QI(j)||!QI(N)),E.isBlank=H,H&&(L?Z=G:N=j),T&&!H&&(L?(G-=Om(G,Z)*T,Z+=Om(G,Z)*T):(j-=Om(j,N)*T,N+=Om(j,N)*T));var re,ae;if(d.type===\"waterfall\"){if(!H){var _e=d[E.dir].marker;re=_e.line.width,ae=_e.color}}else re=DT.getLineWidth(d,E),ae=E.mc||d.marker.color;function Ee(Ae){var rt=$I.round(re/2%1,2);return i.gap===0&&i.groupgap===0?$I.round(Math.round(Ae)-rt,2):Ae}function Ce(Ae,rt,St){return St&&Ae===rt?Ae:Math.abs(Ae-rt)>=2?Ee(Ae):Ae>rt?Math.ceil(Ae):Math.floor(Ae)}var ge=h_t.opacity(ae),ie=ge<1||re>.01?Ee:Ce;e._context.staticPlot||(G=ie(G,Z,L),Z=ie(Z,G,L),j=ie(j,N,!L),N=ie(N,j,!L));var Se=L?o.c2p:s.c2p,ke;E.s0>0?ke=E._sMax:E.s0<0?ke=E._sMin:ke=E.s1>0?E._sMax:E._sMin;function be(Ae,rt){if(!Ae)return 0;var St=Math.abs(L?N-j:Z-G),Tt=Math.abs(L?Z-G:N-j),dt=ie(Math.abs(Se(ke,!0)-Se(0,!0))),Et=E.hasB?Math.min(St/2,Tt/2):Math.min(St/2,dt),pt;if(rt===\"%\"){var jt=Math.min(50,Ae);pt=St*(jt/100)}else pt=Ae;return ie(Math.max(Math.min(pt,Et),0))}var Be=k||p?be(v.cornerradiusvalue,v.cornerradiusform):0,Le,me,Pe=\"M\"+G+\",\"+j+\"V\"+N+\"H\"+Z+\"V\"+j+\"Z\",ce=0;if(Be&&E.s){var He=NV(E.s0)===0||NV(E.s)===NV(E.s0)?E.s1:E.s0;if(ce=ie(E.hasB?0:Math.abs(Se(ke,!0)-Se(He,!0))),ce<Be){var lt=Om(G,Z),mt=Om(j,N),Ht=lt===-mt?1:0;if(L)if(E.hasB)Le=\"M\"+(G+Be*lt)+\",\"+j+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" 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Vt=me<Be?Be-Math.sqrt(me*(2*Be-me)):0,rr=ce>0?Math.sqrt(ce*(2*Be-ce)):0,tt=mt>0?Math.max:Math.min;Le=\"M\"+(G+Vt*lt)+\",\"+j+\"V\"+tt(N-(Be-ce)*mt,j)+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" \"+(G+Be*lt-rr)+\",\"+N+\"H\"+(Z-Be*lt+rr)+\"A \"+Be+\",\"+Be+\" 0 0 \"+Ht+\" \"+(Z-Vt*lt)+\",\"+tt(N-(Be-ce)*mt,j)+\"V\"+j+\"Z\"}}else Le=Pe}else Le=Pe;var je=t1e(Fd.ensureSingle(q,\"path\"),l,i,a);if(je.style(\"vector-effect\",u?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((Z-G)*(N-j))||H&&e._context.staticPlot?\"M0,0Z\":Le).call(R_.setClipUrl,t.layerClipId,e),!l.uniformtext.mode&&x){var Ue=R_.makePointStyleFns(d);R_.singlePointStyle(E,je,d,Ue,e)}A_t(e,t,q,f,z,G,Z,j,N,Be,ce,i,a),t.layerClipId&&R_.hideOutsideRangePoint(E,q.select(\"text\"),o,s,d.xcalendar,d.ycalendar)});var P=d.cliponaxis===!1;R_.setClipUrl(h,P?null:t.layerClipId,e)});d_t.getComponentMethod(\"errorbars\",\"plot\")(e,c,t,i)}function A_t(e,t,r,n,i,a,o,s,l,u,c,f,h){var d=t.xaxis,v=t.yaxis,m=e._fullLayout,b;function p(me,Pe,ce){var He=Fd.ensureSingle(me,\"text\").text(Pe).attr({class:\"bartext bartext-\"+b,\"text-anchor\":\"middle\",\"data-notex\":1}).call(R_.font,ce).call(f_t.convertToTspans,e);return He}var k=n[0].trace,M=k.orientation===\"h\",T=E_t(m,n,i,d,v);b=k_t(k,i);var L=f.mode===\"stack\"||f.mode===\"relative\",x=n[i],C=!L||x._outmost,S=x.hasB,g=u&&u-c>Gv;if(!T||b===\"none\"||(x.isBlank||a===o||s===l)&&(b===\"auto\"||b===\"inside\")){r.select(\"text\").remove();return}var P=m.font,E=BV.getBarColor(n[i],k),z=BV.getInsideTextFont(k,i,P,E),q=BV.getOutsideTextFont(k,i,P),V=k.insidetextanchor||\"end\",G=r.datum();M?d.type===\"log\"&&G.s0<=0&&(d.range[0]<d.range[1]?a=0:a=d._length):v.type===\"log\"&&G.s0<=0&&(v.range[0]<v.range[1]?s=v._length:s=0);var Z=Math.abs(o-a),j=Math.abs(l-s),N=Z-2*Gv,H=j-2*Gv,re,ae,_e,Ee,Ce;if(b===\"outside\"&&!C&&!x.hasB&&(b=\"inside\"),b===\"auto\")if(C){b=\"inside\",Ce=Fd.ensureUniformFontSize(e,z),re=p(r,T,Ce),ae=R_.bBox(re.node()),_e=ae.width,Ee=ae.height;var 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i(l){return H0.coerce(n._input,n,R4,l)}for(var a=0;a<e.length;a++){n=e[a];var o=n.type;if(o===\"box\"||o===\"violin\"){r=n._input;var s=t[o+\"mode\"];s===\"group\"&&H_t(r,n,t,i,s)}}}M1e.exports={supplyDefaults:j_t,crossTraceDefaults:W_t,handleSampleDefaults:A1e,handlePointsDefaults:S1e}});var t8=ye((Xur,k1e)=>{\"use strict\";var X_t=Oa(),Z_t=Pr(),Y_t=I4();function E1e(e,t,r,n,i){for(var a=i+\"Layout\",o=!1,s=0;s<r.length;s++){var l=r[s];if(X_t.traceIs(l,a)){o=!0;break}}o&&(n(i+\"mode\"),n(i+\"gap\"),n(i+\"groupgap\"))}function K_t(e,t,r){function n(i,a){return Z_t.coerce(e,t,Y_t,i,a)}E1e(e,t,r,n,\"box\")}k1e.exports={supplyLayoutDefaults:K_t,_supply:E1e}});var HV=ye((Zur,q1e)=>{\"use strict\";var GV=Eo(),r8=ho(),J_t=zg(),yh=Pr(),n0=fs().BADNUM,jy=yh._;q1e.exports=function(t,r){var n=t._fullLayout,i=r8.getFromId(t,r.xaxis||\"x\"),a=r8.getFromId(t,r.yaxis||\"y\"),o=[],s=r.type===\"violin\"?\"_numViolins\":\"_numBoxes\",l,u,c,f,h,d,v;r.orientation===\"h\"?(c=i,f=\"x\",h=a,d=\"y\",v=!!r.yperiodalignment):(c=a,f=\"y\",h=i,d=\"x\",v=!!r.xperiodalignment);var m=$_t(r,d,h,n[s]),b=m[0],p=m[1],k=yh.distinctVals(b,h),M=k.vals,T=k.minDiff/2,L,x,C,S,g,P,E=(r.boxpoints||r.points)===\"all\"?yh.identity:function(Ht){return Ht.v<L.lf||Ht.v>L.uf};if(r._hasPreCompStats){var z=r[f],q=function(Ht){return c.d2c((r[Ht]||[])[l])},V=1/0,G=-1/0;for(l=0;l<r._length;l++){var Z=b[l];if(GV(Z)){if(L={},L.pos=L[d]=Z,v&&p&&(L.orig_p=p[l]),L.q1=q(\"q1\"),L.med=q(\"median\"),L.q3=q(\"q3\"),x=[],z&&yh.isArrayOrTypedArray(z[l]))for(u=0;u<z[l].length;u++)P=c.d2c(z[l][u]),P!==n0&&(g={v:P,i:[l,u]},C1e(g,r,[l,u]),x.push(g));if(L.pts=x.sort(L1e),C=L[f]=x.map(P1e),S=C.length,L.med!==n0&&L.q1!==n0&&L.q3!==n0&&L.med>=L.q1&&L.q3>=L.med){var j=q(\"lowerfence\");L.lf=j!==n0&&j<=L.q1?j:I1e(L,C,S);var N=q(\"upperfence\");L.uf=N!==n0&&N>=L.q3?N:R1e(L,C,S);var H=q(\"mean\");L.mean=H!==n0?H:S?yh.mean(C,S):(L.q1+L.q3)/2;var re=q(\"sd\");L.sd=H!==n0&&re>=0?re:S?yh.stdev(C,S,L.mean):L.q3-L.q1,L.lo=D1e(L),L.uo=F1e(L);var ae=q(\"notchspan\");ae=ae!==n0&&ae>0?ae:z1e(L,S),L.ln=L.med-ae,L.un=L.med+ae;var _e=L.lf,Ee=L.uf;r.boxpoints&&C.length&&(_e=Math.min(_e,C[0]),Ee=Math.max(Ee,C[S-1])),r.notched&&(_e=Math.min(_e,L.ln),Ee=Math.max(Ee,L.un)),L.min=_e,L.max=Ee}else{yh.warn([\"Invalid input - make sure that q1 <= median <= q3\",\"q1 = \"+L.q1,\"median = \"+L.med,\"q3 = \"+L.q3].join(`\n",
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BT=ye((icr,o_e)=>{\"use strict\";var dxt=Tu(),{extendFlat:Pp}=Ao(),vxt=Vl(),{axisHoverFormat:JV}=vf(),pxt=ec(),{hovertemplateAttrs:gxt,templatefallbackAttrs:a_e,texttemplateAttrs:mxt}=Pl(),a0=pf();o_e.exports=Pp({z:{valType:\"data_array\",editType:\"calc\"},x:Pp({},a0.x,{impliedEdits:{xtype:\"array\"}}),x0:Pp({},a0.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:Pp({},a0.dx,{impliedEdits:{xtype:\"scaled\"}}),y:Pp({},a0.y,{impliedEdits:{ytype:\"array\"}}),y0:Pp({},a0.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:Pp({},a0.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:Pp({},a0.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:Pp({},a0.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:Pp({},a0.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:Pp({},a0.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:Pp({},a0.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:Pp({},a0.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:JV(\"x\"),yhoverformat:JV(\"y\"),zhoverformat:JV(\"z\",1),hovertemplate:gxt(),hovertemplatefallback:a_e(),texttemplate:mxt({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),texttemplatefallback:a_e({editType:\"plot\"}),textfont:pxt({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:Pp({},vxt.showlegend,{dflt:!1}),zorder:a0.zorder},dxt(\"\",{cLetter:\"z\",autoColorDflt:!1}))});var s8=ye((ncr,l_e)=>{\"use strict\";var yxt=Eo(),o8=Pr(),_xt=Oa();l_e.exports=function(t,r,n,i,a,o){var s=n(\"z\");a=a||\"x\",o=o||\"y\";var l,u;if(s===void 0||!s.length)return 0;if(o8.isArray1D(s)){l=n(a),u=n(o);var c=o8.minRowLength(l),f=o8.minRowLength(u);if(c===0||f===0)return 0;r._length=Math.min(c,f,s.length)}else{if(l=s_e(a,n),u=s_e(o,n),!xxt(s))return 0;n(\"transpose\"),r._length=null}var h=_xt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return h(t,r,[a,o],i),!0};function s_e(e,t){var r=t(e),n=r?t(e+\"type\",\"array\"):\"scaled\";return n===\"scaled\"&&(t(e+\"0\"),t(\"d\"+e)),r}function xxt(e){for(var t=!0,r=!1,n=!1,i,a=0;a<e.length;a++){if(i=e[a],!o8.isArrayOrTypedArray(i)){t=!1;break}i.length>0&&(r=!0);for(var o=0;o<i.length;o++)if(yxt(i[o])){n=!0;break}}return t&&r&&n}});var F4=ye((acr,c_e)=>{\"use strict\";var u_e=Pr();c_e.exports=function(t,r){t(\"texttemplate\"),t(\"texttemplatefallback\");var 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z8=Fa(),Ube=So(),x2t=b8(),b2t=FG();Vbe.exports=function(t){var r=z8.select(t).selectAll(\"g.contour\");r.style(\"opacity\",function(n){return n[0].trace.opacity}),r.each(function(n){var i=z8.select(this),a=n[0].trace,o=a.contours,s=a.line,l=o.size||1,u=o.start,c=o.type===\"constraint\",f=!c&&o.coloring===\"lines\",h=!c&&o.coloring===\"fill\",d=f||h?b2t(a):null;i.selectAll(\"g.contourlevel\").each(function(b){z8.select(this).selectAll(\"path\").call(Ube.lineGroupStyle,s.width,f?d(b.level):s.color,s.dash)});var v=o.labelfont;if(i.selectAll(\"g.contourlabels text\").each(function(b){Ube.font(z8.select(this),{weight:v.weight,style:v.style,variant:v.variant,textcase:v.textcase,lineposition:v.lineposition,shadow:v.shadow,family:v.family,size:v.size,color:v.color||(f?d(b.level):s.color)})}),c)i.selectAll(\"g.contourfill path\").style(\"fill\",a.fillcolor);else if(h){var m;i.selectAll(\"g.contourfill path\").style(\"fill\",function(b){return m===void 0&&(m=b.level),d(b.level+.5*l)}),m===void 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Xbe=ye((ffr,Wbe)=>{\"use strict\";Wbe.exports={attributes:bG(),supplyDefaults:dbe(),crossTraceDefaults:M8(),calc:MG(),plot:F8().plot,layerName:\"contourlayer\",style:q8(),colorbar:O8(),hoverPoints:zG(),moduleType:\"trace\",name:\"histogram2dcontour\",basePlotModule:mh(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"contour\",\"histogram\",\"showLegend\"],meta:{}}});var Ybe=ye((hfr,Zbe)=>{\"use strict\";Zbe.exports=Xbe()});var qG=ye((dfr,t2e)=>{\"use strict\";var Kbe=Eo(),M2t=wG(),Qbe=ka(),Jbe=Qbe.addOpacity,E2t=Qbe.opacity,e2e=C8(),$be=Pr().isArrayOrTypedArray,k2t=e2e.CONSTRAINT_REDUCTION,C2t=e2e.COMPARISON_OPS2;t2e.exports=function(t,r,n,i,a,o){var s=r.contours,l,u,c,f=n(\"contours.operation\");if(s._operation=k2t[f],L2t(n,s),f===\"=\"?l=s.showlines=!0:(l=n(\"contours.showlines\"),c=n(\"fillcolor\",Jbe((t.line||{}).color||a,.5))),l){var h=c&&E2t(c)?Jbe(r.fillcolor,1):a;u=n(\"line.color\",h),n(\"line.width\",2),n(\"line.dash\")}n(\"line.smoothing\"),M2t(n,i,u,o)};function L2t(e,t){var 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g2e=ye((yfr,p2e)=>{\"use strict\";var d2e=Pr(),V2t=Pm(),XT=Ru(),G2t=$p(),H2t=D0(),v2e=fT(),j2t=F0(),W2t=Fg(),X2t=BG();p2e.exports=function(t,r,n,i){function a(h,d){return d2e.coerce(t,r,X2t,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\"));var c=u<V2t.PTS_LINESONLY?\"lines+markers\":\"lines\";a(\"mode\",c),XT.hasMarkers(r)&&G2t(t,r,n,i,a,{gradient:!0}),XT.hasLines(r)&&(H2t(t,r,n,i,a,{backoff:!0}),v2e(t,r,a),a(\"connectgaps\")),XT.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),j2t(t,r,i,a));var f=[];(XT.hasMarkers(r)||XT.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),f.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(W2t(t,r,n,a),XT.hasLines(r)||v2e(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&f.push(\"fills\"),a(\"hoveron\",f.join(\"+\")||\"points\"),d2e.coerceSelectionMarkerOpacity(r,a)}});var y2e=ye((_fr,m2e)=>{\"use strict\";var NG=ho();m2e.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=NG.tickText(a.aaxis,t.a,!0).text,i.bLabel=NG.tickText(a.baxis,t.b,!0).text,i.cLabel=NG.tickText(a.caxis,t.c,!0).text,i}});var w2e=ye((xfr,b2e)=>{\"use strict\";var UG=Eo(),Z2t=z0(),Y2t=Dm(),K2t=q0(),J2t=O0().calcMarkerSize,_2e=[\"a\",\"b\",\"c\"],x2e={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};b2e.exports=function(t,r){var n=t._fullLayout[r.subplot],i=n.sum,a=r.sum||i,o={a:r.a,b:r.b,c:r.c},s=r.ids,l,u,c,f,h,d;for(l=0;l<_2e.length;l++)if(c=_2e[l],!o[c]){for(h=o[x2e[c][0]],d=o[x2e[c][1]],f=new 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o.x0=Math.max(Math.min(o.x0,c),u),o.x1=Math.max(Math.min(o.x1,c),u),a}var f=o.cd[o.index],h=o.trace,d=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var v={};v[h.subplot]={_subplot:d};var m=h._module.formatLabels(f,h,v);o.aLabel=m.aLabel,o.bLabel=m.bLabel,o.cLabel=m.cLabel;var b=f.hi||h.hoverinfo,p=[];function k(T,L){p.push(T._hovertitle+\": \"+L)}if(!h.hovertemplate){var M=b.split(\"+\");M.indexOf(\"all\")!==-1&&(M=[\"a\",\"b\",\"c\"]),M.indexOf(\"a\")!==-1&&k(d.aaxis,o.aLabel),M.indexOf(\"b\")!==-1&&k(d.baxis,o.bLabel),M.indexOf(\"c\")!==-1&&k(d.caxis,o.cLabel)}return o.extraText=p.join(\"<br>\"),o.hovertemplate=h.hovertemplate,a}});var k2e=ye((Tfr,E2e)=>{\"use strict\";E2e.exports=function(t,r,n,i,a){if(r.xa&&(t.xaxis=r.xa),r.ya&&(t.yaxis=r.ya),i[a]){var o=i[a];t.a=o.a,t.b=o.b,t.c=o.c}else t.a=r.a,t.b=r.b,t.c=r.c;return t}});var B2e=ye((Afr,O2e)=>{\"use strict\";var D2e=Fa(),ewt=fd(),VG=Oa(),Xy=Pr(),Vm=Xy.strTranslate,N8=Xy._,YT=ka(),U8=So(),X4=xm(),GG=Ao().extendFlat,twt=Mc(),q_=ho(),C2e=yv(),L2e=ef(),F2e=Cg(),P2e=F2e.freeMode,rwt=F2e.rectMode,HG=qb(),iwt=qf().prepSelect,nwt=qf().selectOnClick,awt=qf().clearOutline,owt=qf().clearSelectionsCache,z2e=Rh();function q2e(e,t){this.id=e.id,this.graphDiv=e.graphDiv,this.init(t),this.makeFramework(t),this.updateFx(t),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}O2e.exports=q2e;var Gm=q2e.prototype;Gm.init=function(e){this.container=e._ternarylayer,this.defs=e._defs,this.layoutId=e._uid,this.traceHash={},this.layers={}};Gm.plot=function(e,t){var r=this,n=t[r.id],i=t._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){r._hasClipOnAxisFalse=!0;break}}r.updateLayers(n),r.adjustLayout(n,i),twt.generalUpdatePerTraceModule(r.graphDiv,r,e,n),r.layers.plotbg.select(\"path\").call(YT.fill,n.bgcolor)};Gm.makeFramework=function(e){var t=this,r=t.graphDiv,n=e[t.id],i=t.clipId=\"clip\"+t.layoutId+t.id,a=t.clipIdRelative=\"clip-relative\"+t.layoutId+t.id;t.clipDef=Xy.ensureSingleById(e._clips,\"clipPath\",i,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.clipDefRelative=Xy.ensureSingleById(e._clips,\"clipPath\",a,function(o){o.append(\"path\").attr(\"d\",\"M0,0Z\")}),t.plotContainer=Xy.ensureSingle(t.container,\"g\",t.id),t.updateLayers(n),U8.setClipUrl(t.layers.backplot,i,r),U8.setClipUrl(t.layers.grids,i,r)};Gm.updateFx=function(e){e._ternarylayer.selectAll(\"g.toplevel\").style(\"cursor\",e.dragmode===\"pan\"?\"move\":\"crosshair\")};Gm.updateLayers=function(e){var t=this,r=t.layers,n=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];e.aaxis.layer===\"below traces\"&&n.push(\"aaxis\",\"aline\"),e.baxis.layer===\"below traces\"&&n.push(\"baxis\",\"bline\"),e.caxis.layer===\"below traces\"&&n.push(\"caxis\",\"cline\"),n.push(\"frontplot\"),e.aaxis.layer===\"above 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r=this,n=e.domain,i=(n.x[0]+n.x[1])/2,a=(n.y[0]+n.y[1])/2,o=n.x[1]-n.x[0],s=n.y[1]-n.y[0],l=o*t.w,u=s*t.h,c=e.sum,f=e.aaxis.min,h=e.baxis.min,d=e.caxis.min,v,m,b,p,k,M;l>ZT*u?(p=u,b=p*ZT):(b=l,p=b/ZT),k=o*b/l,M=s*p/u,v=t.l+t.w*i-b/2,m=t.t+t.h*(1-a)-p/2,r.x0=v,r.y0=m,r.w=b,r.h=p,r.sum=c,r.xaxis={type:\"linear\",range:[f+2*d-c,c-f-2*h],domain:[i-k/2,i+k/2],_id:\"x\"},X4(r.xaxis,r.graphDiv._fullLayout),r.xaxis.setScale(),r.xaxis.isPtWithinRange=function(V){return V.a>=r.aaxis.range[0]&&V.a<=r.aaxis.range[1]&&V.b>=r.baxis.range[1]&&V.b<=r.baxis.range[0]&&V.c>=r.caxis.range[1]&&V.c<=r.caxis.range[0]},r.yaxis={type:\"linear\",range:[f,c-h-d],domain:[a-M/2,a+M/2],_id:\"y\"},X4(r.yaxis,r.graphDiv._fullLayout),r.yaxis.setScale(),r.yaxis.isPtWithinRange=function(){return!0};var T=r.yaxis.domain[0],L=r.aaxis=GG({},e.aaxis,{range:[f,c-h-d],side:\"left\",tickangle:(+e.aaxis.tickangle||0)-30,domain:[T,T+M*ZT],anchor:\"free\",position:0,_id:\"y\",_length:b});X4(L,r.graphDiv._fullLayout),L.setScale();var x=r.baxis=GG({},e.baxis,{range:[c-f-d,h],side:\"bottom\",domain:r.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:b});X4(x,r.graphDiv._fullLayout),x.setScale();var C=r.caxis=GG({},e.caxis,{range:[c-f-h,d],side:\"right\",tickangle:(+e.caxis.tickangle||0)+30,domain:[T,T+M*ZT],anchor:\"free\",position:0,_id:\"y\",_length:b});X4(C,r.graphDiv._fullLayout),C.setScale();var S=\"M\"+v+\",\"+(m+p)+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDef.select(\"path\").attr(\"d\",S),r.layers.plotbg.select(\"path\").attr(\"d\",S);var g=\"M0,\"+p+\"h\"+b+\"l-\"+b/2+\",-\"+p+\"Z\";r.clipDefRelative.select(\"path\").attr(\"d\",g);var P=Vm(v,m);r.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),r.clipDefRelative.select(\"path\").attr(\"transform\",null);var E=Vm(v-x._offset,m+p);r.layers.baxis.attr(\"transform\",E),r.layers.bgrid.attr(\"transform\",E);var z=Vm(v+b/2,m)+\"rotate(30)\"+Vm(0,-L._offset);r.layers.aaxis.attr(\"transform\",z),r.layers.agrid.attr(\"transform\",z);var q=Vm(v+b/2,m)+\"rotate(-30)\"+Vm(0,-C._offset);r.layers.caxis.attr(\"transform\",q),r.layers.cgrid.attr(\"transform\",q),r.drawAxes(!0),r.layers.aline.select(\"path\").attr(\"d\",L.showline?\"M\"+v+\",\"+(m+p)+\"l\"+b/2+\",-\"+p:\"M0,0\").call(YT.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),r.layers.bline.select(\"path\").attr(\"d\",x.showline?\"M\"+v+\",\"+(m+p)+\"h\"+b:\"M0,0\").call(YT.stroke,x.linecolor||\"#000\").style(\"stroke-width\",(x.linewidth||0)+\"px\"),r.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(v+b/2)+\",\"+m+\"l\"+b/2+\",\"+p:\"M0,0\").call(YT.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),r.graphDiv._context.staticPlot||r.initInteractions(),U8.setClipUrl(r.layers.frontplot,r._hasClipOnAxisFalse?null:r.clipId,r.graphDiv)};Gm.drawAxes=function(e){var t=this,r=t.graphDiv,n=t.id.slice(7)+\"title\",i=t.layers,a=t.aaxis,o=t.baxis,s=t.caxis;if(t.drawAx(a),t.drawAx(o),t.drawAx(s),e){var 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c=t.aaxis,f=t.baxis,h=t.caxis;c.min+f.min+h.min>=a&&(c.min=0,f.min=0,h.min=0,e.aaxis&&delete e.aaxis.min,e.baxis&&delete e.baxis.min,e.caxis&&delete e.caxis.min)}function Ewt(e,t,r,n){var i=G2e[t._name];function a(d,v){return G8.coerce(e,t,i,d,v)}a(\"uirevision\",n.uirevision),t.type=\"linear\";var o=a(\"color\"),s=o!==i.color.dflt?o:r.font.color,l=t._name,u=l.charAt(0).toUpperCase(),c=\"Component \"+u,f=a(\"title.text\",c);t._hovertitle=f===c?f:u,G8.coerceFont(a,\"title.font\",r.font,{overrideDflt:{size:G8.bigFont(r.font.size),color:s}}),a(\"min\"),Awt(e,t,a,\"linear\"),wwt(e,t,a,\"linear\"),bwt(e,t,a,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),Twt(e,t,a,{outerTicks:!0});var h=a(\"showticklabels\");h&&(G8.coerceFont(a,\"tickfont\",r.font,{overrideDflt:{color:s}}),a(\"tickangle\"),a(\"tickformat\")),Swt(e,t,a,{dfltColor:o,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),a(\"hoverformat\"),a(\"layer\")}});var W2e=ye(Z0=>{\"use strict\";var kwt=B2e(),Cwt=Id().getSubplotCalcData,Lwt=Pr().counterRegex,KT=\"ternary\";Z0.name=KT;var Pwt=Z0.attr=\"subplot\";Z0.idRoot=KT;Z0.idRegex=Z0.attrRegex=Lwt(KT);var Iwt=Z0.attributes={};Iwt[Pwt]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"};Z0.layoutAttributes=XG();Z0.supplyLayoutDefaults=j2e();Z0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[KT],a=0;a<i.length;a++){var o=i[a],s=Cwt(n,KT,o),l=r[o]._subplot;l||(l=new kwt({id:o,graphDiv:t,container:r._ternarylayer.node()},r),r[o]._subplot=l),l.plot(s,r,t._promises)}};Z0.clean=function(e,t,r,n){for(var i=n._subplots[KT]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!t[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers[\"a-title\"].remove(),s.layers[\"b-title\"].remove(),s.layers[\"c-title\"].remove())}};Z0.updateFx=function(e){var 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Oh=P4(),JT=Ao().extendFlat,J2e=vf().axisHoverFormat;$2e.exports={y:Oh.y,x:Oh.x,x0:Oh.x0,y0:Oh.y0,xhoverformat:J2e(\"x\"),yhoverformat:J2e(\"y\"),name:JT({},Oh.name,{}),orientation:JT({},Oh.orientation,{}),bandwidth:{valType:\"number\",min:0,editType:\"calc\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},scalemode:{valType:\"enumerated\",values:[\"width\",\"count\"],dflt:\"width\",editType:\"calc\"},spanmode:{valType:\"enumerated\",values:[\"soft\",\"hard\",\"manual\"],dflt:\"soft\",editType:\"calc\"},span:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}],editType:\"calc\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},editType:\"plot\"},fillcolor:Oh.fillcolor,points:JT({},Oh.boxpoints,{}),jitter:JT({},Oh.jitter,{}),pointpos:JT({},Oh.pointpos,{}),width:JT({},Oh.width,{}),marker:Oh.marker,text:Oh.text,hovertext:Oh.hovertext,hovertemplate:Oh.hovertemplate,hovertemplatefallback:Oh.hovertemplatefallback,quartilemethod:Oh.quartilemethod,box:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},width:{valType:\"number\",min:0,max:1,dflt:.25,editType:\"plot\"},fillcolor:{valType:\"color\",editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"style\"},editType:\"plot\"},meanline:{visible:{valType:\"boolean\",dflt:!1,editType:\"plot\"},color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,editType:\"style\"},editType:\"plot\"},side:{valType:\"enumerated\",values:[\"both\",\"positive\",\"negative\"],dflt:\"both\",editType:\"calc\"},offsetgroup:Oh.offsetgroup,alignmentgroup:Oh.alignmentgroup,selected:Oh.selected,unselected:Oh.unselected,hoveron:{valType:\"flaglist\",flags:[\"violins\",\"points\",\"kde\"],dflt:\"violins+points+kde\",extras:[\"all\"],editType:\"style\"},zorder:Oh.zorder}});var JG=ye((Ifr,Q2e)=>{\"use strict\";var YG=I4(),KG=Pr().extendFlat;Q2e.exports={violinmode:KG({},YG.boxmode,{}),violingap:KG({},YG.boxgap,{}),violingroupgap:KG({},YG.boxgroupgap,{})}});var nwe=ye((Rfr,iwe)=>{\"use strict\";var ewe=Pr(),Rwt=ka(),twe=D4(),rwe=ZG();iwe.exports=function(t,r,n,i){function a(L,x){return ewe.coerce(t,r,rwe,L,x)}function o(L,x){return ewe.coerce2(t,r,rwe,L,x)}if(twe.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",Rwt.addOpacity(r.line.color,.5));twe.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),m=o(\"box.line.color\",c),b=o(\"box.line.width\",f),p=a(\"box.visible\",!!(d||v||m||b));p||(r.box={visible:!1});var 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uwe=ye((zfr,lwe)=>{\"use strict\";var $G=Pr(),QG=ho(),Bwt=HV(),swe=H8(),Nwt=fs().BADNUM;lwe.exports=function(t,r){var n=Bwt(t,r);if(n[0].t.empty)return n;for(var i=t._fullLayout,a=QG.getFromId(t,r[r.orientation===\"h\"?\"xaxis\":\"yaxis\"]),o=1/0,s=-1/0,l=0,u=0,c=0;c<n.length;c++){var f=n[c],h=f.pts.map(swe.extractVal),d=f.bandwidth=Vwt(r,f,h),v=f.span=Gwt(r,f,a,d);if(f.min===f.max&&d===0)v=f.span=[f.min,f.max],f.density=[{v:1,t:v[0]}],f.bandwidth=d,l=Math.max(l,1);else{var m=v[1]-v[0],b=Math.ceil(m/(d/3)),p=m/b;if(!isFinite(p)||!isFinite(b))return $G.error(\"Something went wrong with computing the violin span\"),n[0].t.empty=!0,n;var k=swe.makeKDE(f,r,h);f.density=new Array(b+1);for(var M=0;M<f.density.length;M++){var T=v[0]+M*p,L=k(T);f.density[M]={v:L,t:T},l=Math.max(l,L)}}u=Math.max(u,h.length),o=Math.min(o,v[0]),s=Math.max(s,v[1])}var x=QG.findExtremes(a,[o,s],{padded:!0});if(r._extremes[a._id]=x,r.width)n[0].t.maxKDE=l;else{var 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bwe=ye((Nfr,xwe)=>{\"use strict\";var Ywt=ka(),iH=Pr(),Kwt=ho(),ywe=YV(),_we=H8();xwe.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var m=ywe.hoverOnBoxes(t,r,n,i);if(f&&m.length>0){var b=t.xa,p=t.ya,k,M,T,L,x;l.orientation===\"h\"?(x=r,k=\"y\",T=p,M=\"x\",L=b):(x=n,k=\"x\",T=b,M=\"y\",L=p);var C=s[t.index];if(x>=C.span[0]&&x<=C.span[1]){var S=iH.extendFlat({},t),g=L.c2p(x,!0),P=_we.getKdeValue(C,l,x),E=_we.getPositionOnKdePath(C,l,g),z=T._offset,q=T._length;S[k+\"0\"]=E[0],S[k+\"1\"]=E[1],S[M+\"0\"]=S[M+\"1\"]=g,S[M+\"Label\"]=M+\": \"+Kwt.hoverLabelText(L,x,l[M+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,G=0;G<m.length;G++)if(m[G].attr===\"med\"){V=G;break}S.spikeDistance=m[V].spikeDistance;var Z=k+\"Spike\";S[Z]=m[V][Z],m[V].spikeDistance=void 0,m[V][Z]=void 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s=W8.select(this),l=o[0].trace,u=N_.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible||!l.connector.line.width){u.remove();return}var c=l.orientation===\"h\",f=u.selectAll(\"g.line\").data(N_.identity);f.enter().append(\"g\").classed(\"line\",!0),f.exit().remove();var h=f.size();f.each(function(d,v){if(!(v!==h-1&&!d.cNext)){var m=Xwe(d,i,a,c),b=m[0],p=m[1],k=\"\";b[3]!==void 0&&p[3]!==void 0&&(c?(k+=\"M\"+b[0]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[2],k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[3]+\",\"+p[2]):(k+=\"M\"+b[1]+\",\"+p[1]+\"L\"+b[2]+\",\"+p[3],k+=\"M\"+b[1]+\",\"+p[0]+\"L\"+b[2]+\",\"+p[2])),k===\"\"&&(k=\"M0,0Z\"),N_.ensureSingle(W8.select(this),\"path\").attr(\"d\",k).call(Wwe.setClipUrl,t.layerClipId,e)}})})}function Xwe(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),i[3]=o.c2p(e.nextS1,!0),a[3]=s.c2p(e.nextP1,!0),n?[i,a]:[a,i]}});var $we=ye(($fr,Jwe)=>{\"use strict\";var Y4=Fa(),Kwe=So(),cH=ka(),m3t=Z1().DESELECTDIM,y3t=V0(),_3t=bv().resizeText,x3t=y3t.styleTextPoints;function b3t(e,t,r){var n=r||Y4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");_3t(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=Y4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;Y4.select(this).call(cH.fill,s.mc||l.color).call(cH.stroke,s.mlc||l.line.color).call(Kwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?m3t:1)}}),x3t(a,o,e),a.selectAll(\".regions\").each(function(){Y4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(cH.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;Kwe.lineGroupStyle(Y4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}Jwe.exports={style:b3t}});var t3e=ye((Qfr,e3e)=>{\"use 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_c=qm(),hH=pf().line,A3t=Vl(),c3e=vf().axisHoverFormat,{hovertemplateAttrs:S3t,texttemplateAttrs:M3t,templatefallbackAttrs:f3e}=Pl(),h3e=u3e(),eA=Ao().extendFlat,E3t=ka();function dH(e){return{marker:{color:eA({},_c.marker.color,{arrayOk:!1,editType:\"style\"}),line:{color:eA({},_c.marker.line.color,{arrayOk:!1,editType:\"style\"}),width:eA({},_c.marker.line.width,{arrayOk:!1,editType:\"style\"}),editType:\"style\"},editType:\"style\"},editType:\"style\"}}d3e.exports={measure:{valType:\"data_array\",dflt:[],editType:\"calc\"},base:{valType:\"number\",dflt:null,arrayOk:!1,editType:\"calc\"},x:_c.x,x0:_c.x0,dx:_c.dx,y:_c.y,y0:_c.y0,dy:_c.dy,xperiod:_c.xperiod,yperiod:_c.yperiod,xperiod0:_c.xperiod0,yperiod0:_c.yperiod0,xperiodalignment:_c.xperiodalignment,yperiodalignment:_c.yperiodalignment,xhoverformat:c3e(\"x\"),yhoverformat:c3e(\"y\"),hovertext:_c.hovertext,hovertemplate:S3t({},{keys:h3e.eventDataKeys}),hovertemplatefallback:f3e(),hoverinfo:eA({},A3t.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"initial\",\"delta\",\"final\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"initial\",\"delta\",\"final\"],extras:[\"none\"],editType:\"plot\",arrayOk:!1},texttemplate:M3t({editType:\"plot\"},{keys:h3e.eventDataKeys.concat([\"label\"])}),texttemplatefallback:f3e({editType:\"plot\"}),text:_c.text,textposition:_c.textposition,insidetextanchor:_c.insidetextanchor,textangle:_c.textangle,textfont:_c.textfont,insidetextfont:_c.insidetextfont,outsidetextfont:_c.outsidetextfont,constraintext:_c.constraintext,cliponaxis:_c.cliponaxis,orientation:_c.orientation,offset:_c.offset,width:_c.width,increasing:dH(\"increasing\"),decreasing:dH(\"decreasing\"),totals:dH(\"intermediate 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g3e=Pr(),k3t=i2(),C3t=i0().handleText,L3t=cT(),P3t=Dg(),m3e=vH(),I3t=ka(),y3e=tA(),R3t=y3e.INCREASING.COLOR,D3t=y3e.DECREASING.COLOR,F3t=\"#4499FF\";function gH(e,t,r){e(t+\".marker.color\",r),e(t+\".marker.line.color\",I3t.defaultLine),e(t+\".marker.line.width\")}function z3t(e,t,r,n){function i(u,c){return g3e.coerce(e,t,m3e,u,c)}var a=L3t(e,t,n,i);if(!a){t.visible=!1;return}P3t(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"measure\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\");var o=i(\"textposition\");C3t(e,t,n,i,o,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),t.textposition!==\"none\"&&(i(\"texttemplate\"),i(\"texttemplatefallback\"),t.texttemplate||i(\"textinfo\")),gH(i,\"increasing\",R3t),gH(i,\"decreasing\",D3t),gH(i,\"totals\",F3t);var s=i(\"connector.visible\");if(s){i(\"connector.mode\");var l=i(\"connector.line.width\");l&&(i(\"connector.line.color\"),i(\"connector.line.dash\"))}i(\"zorder\")}function q3t(e,t){var r,n;function i(o){return g3e.coerce(n._input,n,m3e,o)}if(t.waterfallmode===\"group\")for(var a=0;a<e.length;a++)n=e[a],r=n._input,k3t(r,n,t,i,t.waterfallmode)}_3e.exports={supplyDefaults:z3t,crossTraceDefaults:q3t}});var b3e=ye((lhr,x3e)=>{\"use strict\";var O3t=Pr(),B3t=pH();x3e.exports=function(e,t,r){var n=!1;function i(s,l){return O3t.coerce(e,t,B3t,s,l)}for(var a=0;a<r.length;a++){var o=r[a];if(o.visible&&o.type===\"waterfall\"){n=!0;break}}n&&(i(\"waterfallmode\"),i(\"waterfallgap\",.2),i(\"waterfallgroupgap\"))}});var E3e=ye((uhr,M3e)=>{\"use strict\";var w3e=ho(),T3e=zg(),A3e=Pr().mergeArray,N3t=q0(),S3e=fs().BADNUM;function yH(e){return e===\"a\"||e===\"absolute\"}function _H(e){return e===\"t\"||e===\"total\"}M3e.exports=function(t,r){var n=w3e.getFromId(t,r.xaxis||\"x\"),i=w3e.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c;r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\"),s=i.makeCalcdata(r,\"y\"),l=T3e(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\"),s=n.makeCalcdata(r,\"x\"),l=T3e(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var f=Math.min(o.length,a.length),h=new Array(f),d=0,v,m=!1,b=0;b<f;b++){var p=a[b]||0,k=!1;(a[b]!==S3e||_H(r.measure[b])||yH(r.measure[b]))&&b+1<f&&(a[b+1]!==S3e||_H(r.measure[b+1])||yH(r.measure[b+1]))&&(k=!0);var M=h[b]={i:b,p:o[b],s:p,rawS:p,cNext:k};yH(r.measure[b])?(d=M.s,M.isSum=!0,M.dir=\"totals\",M.s=d):_H(r.measure[b])?(M.isSum=!0,M.dir=\"totals\",M.s=d):(M.isSum=!1,M.dir=M.rawS<0?\"decreasing\":\"increasing\",v=M.s,M.s=d+v,d+=v),M.dir===\"totals\"&&(m=!0),u&&(h[b].orig_p=s[b],h[b][c+\"End\"]=l.ends[b],h[b][c+\"Start\"]=l.starts[b]),r.ids&&(M.id=String(r.ids[b])),M.v=(r.base||0)+d}return h.length&&(h[0].hasTotals=m),A3e(r.text,h,\"tx\"),A3e(r.hovertext,h,\"htx\"),N3t(h,r),h}});var L3e=ye((chr,C3e)=>{\"use strict\";var k3e=n2().setGroupPositions;C3e.exports=function(t,r){var n=t._fullLayout,i=t._fullData,a=t.calcdata,o=r.xaxis,s=r.yaxis,l=[],u=[],c=[],f,h;for(h=0;h<i.length;h++){var d=i[h];d.visible===!0&&d.xaxis===o._id&&d.yaxis===s._id&&d.type===\"waterfall\"&&(f=a[h],d.orientation===\"h\"?c.push(f):u.push(f),l.push(f))}var v={mode:n.waterfallmode,norm:n.waterfallnorm,gap:n.waterfallgap,groupgap:n.waterfallgroupgap};for(k3e(t,o,s,u,v),k3e(t,s,o,c,v),h=0;h<l.length;h++){f=l[h];for(var m=0;m<f.length;m++){var b=f[m];b.isSum===!1&&(b.s0+=m===0?0:f[m-1].s),m+1<f.length&&(f[m].nextP0=f[m+1].p0,f[m].nextS0=f[m+1].s0)}}}});var R3e=ye((fhr,I3e)=>{\"use strict\";var P3e=Fa(),X8=Pr(),U3t=So(),rA=fs().BADNUM,V3t=g2(),G3t=bv().clearMinTextSize;I3e.exports=function(t,r,n,i){var a=t._fullLayout;G3t(\"waterfall\",a),V3t.plot(t,r,n,i,{mode:a.waterfallmode,norm:a.waterfallmode,gap:a.waterfallgap,groupgap:a.waterfallgroupgap}),H3t(t,r,n,i)};function H3t(e,t,r,n){var i=t.xaxis,a=t.yaxis;X8.makeTraceGroups(n,r,\"trace bars\").each(function(o){var s=P3e.select(this),l=o[0].trace,u=X8.ensureSingle(s,\"g\",\"lines\");if(!l.connector||!l.connector.visible){u.remove();return}var c=l.orientation===\"h\",f=l.connector.mode,h=u.selectAll(\"g.line\").data(X8.identity);h.enter().append(\"g\").classed(\"line\",!0),h.exit().remove();var d=h.size();h.each(function(v,m){if(!(m!==d-1&&!v.cNext)){var b=j3t(v,i,a,c),p=b[0],k=b[1],M=\"\";p[0]!==rA&&k[0]!==rA&&p[1]!==rA&&k[1]!==rA&&(f===\"spanning\"&&!v.isSum&&m>0&&(c?M+=\"M\"+p[0]+\",\"+k[1]+\"V\"+k[0]:M+=\"M\"+p[1]+\",\"+k[0]+\"H\"+p[0]),f!==\"between\"&&(v.isSum||m<d-1)&&(c?M+=\"M\"+p[1]+\",\"+k[0]+\"V\"+k[1]:M+=\"M\"+p[0]+\",\"+k[1]+\"H\"+p[1]),p[2]!==rA&&k[2]!==rA&&(c?M+=\"M\"+p[1]+\",\"+k[1]+\"V\"+k[2]:M+=\"M\"+p[1]+\",\"+k[1]+\"H\"+p[2])),M===\"\"&&(M=\"M0,0Z\"),X8.ensureSingle(P3e.select(this),\"path\").attr(\"d\",M).call(U3t.setClipUrl,t.layerClipId,e)}})})}function j3t(e,t,r,n){var i=[],a=[],o=n?t:r,s=n?r:t;return i[0]=o.c2p(e.s0,!0),a[0]=s.c2p(e.p0,!0),i[1]=o.c2p(e.s1,!0),a[1]=s.c2p(e.p1,!0),i[2]=o.c2p(e.nextS0,!0),a[2]=s.c2p(e.nextP0,!0),n?[i,a]:[a,i]}});var q3e=ye((hhr,z3e)=>{\"use strict\";var Z8=Fa(),D3e=So(),F3e=ka(),W3t=Z1().DESELECTDIM,X3t=V0(),Z3t=bv().resizeText,Y3t=X3t.styleTextPoints;function K3t(e,t,r){var 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t=e._readableState;nu(\"emitReadable_\",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit(\"readable\"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Nj(e)}function Oj(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(WMt,e,t))}function WMt(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var r=t.length;if(nu(\"maybeReadMore read 0\"),e.read(0),r===t.length)break}t.readingMore=!1}Bu.prototype._read=function(e){dE(this,new NMt(\"_read()\"))};Bu.prototype.pipe=function(e,t){var r=this,n=this._readableState;switch(n.pipesCount){case 0:n.pipes=e;break;case 1:n.pipes=[n.pipes,e];break;default:n.pipes.push(e);break}n.pipesCount+=1,nu(\"pipe count=%d opts=%j\",n.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,a=i?s:m;n.endEmitted?process.nextTick(a):r.once(\"end\",a),e.on(\"unpipe\",o);function 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r=vE.prototype.on.call(this,e,t),n=this._readableState;return e===\"data\"?(n.readableListening=this.listenerCount(\"readable\")>0,n.flowing!==!1&&this.resume()):e===\"readable\"&&!n.endEmitted&&!n.readableListening&&(n.readableListening=n.needReadable=!0,n.flowing=!1,n.emittedReadable=!1,nu(\"on readable\",n.length,n.reading),n.length?OR(this):n.reading||process.nextTick(ZMt,this)),r};Bu.prototype.addListener=Bu.prototype.on;Bu.prototype.removeListener=function(e,t){var r=vE.prototype.removeListener.call(this,e,t);return e===\"readable\"&&process.nextTick(PSe,this),r};Bu.prototype.removeAllListeners=function(e){var t=vE.prototype.removeAllListeners.apply(this,arguments);return(e===\"readable\"||e===void 0)&&process.nextTick(PSe,this),t};function PSe(e){var t=e._readableState;t.readableListening=e.listenerCount(\"readable\")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount(\"data\")>0&&e.resume()}function ZMt(e){nu(\"readable nexttick read 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this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}});Bu._fromList=ISe;Object.defineProperty(Bu.prototype,\"readableLength\",{enumerable:!1,get:function(){return this._readableState.length}});function ISe(e,t){if(t.length===0)return null;var r;return t.objectMode?r=t.buffer.shift():!e||e>=t.length?(t.decoder?r=t.buffer.join(\"\"):t.buffer.length===1?r=t.buffer.first():r=t.buffer.concat(t.length),t.buffer.clear()):r=t.buffer.consume(e,t.decoder),r}function qj(e){var t=e._readableState;nu(\"endReadable\",t.endEmitted),t.endEmitted||(t.ended=!0,process.nextTick(JMt,t,e))}function JMt(e,t){if(nu(\"endReadableNT\",e.endEmitted,e.length),!e.endEmitted&&e.length===0&&(e.endEmitted=!0,t.readable=!1,t.emit(\"end\"),e.autoDestroy)){var r=t._writableState;(!r||r.autoDestroy&&r.finished)&&t.destroy()}}typeof Symbol==\"function\"&&(Bu.from=function(e,t){return Dj===void 0&&(Dj=ASe()),Dj(Bu,e,t)});function RSe(e,t){for(var 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+       "`)+'Actual message: \"'.concat(t&&t.message,'\"'),stackStartFn:e})}throw t}}Ef.throws=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];D4e.apply(void 0,[e,I4e(t)].concat(n))};Ef.rejects=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];return R4e(t).then(function(a){return D4e.apply(void 0,[e,a].concat(n))})};Ef.doesNotThrow=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];F4e.apply(void 0,[e,I4e(t)].concat(n))};Ef.doesNotReject=function e(t){for(var r=arguments.length,n=new Array(r>1?r-1:0),i=1;i<r;i++)n[i-1]=arguments[i];return R4e(t).then(function(a){return F4e.apply(void 0,[e,a].concat(n))})};Ef.ifError=function e(t){if(t!=null){var r=\"ifError got unwanted exception: \";Zg(t)===\"object\"&&typeof t.message==\"string\"?t.message.length===0&&t.constructor?r+=t.constructor.name:r+=t.message:r+=oD(t);var n=new J_({actual:t,expected:null,operator:\"ifError\",message:r,stackStartFn:e}),i=t.stack;if(typeof i==\"string\"){var a=i.split(`\n",
+       "`);a.shift();for(var o=n.stack.split(`\n",
+       "`),s=0;s<a.length;s++){var l=o.indexOf(a[s]);if(l!==-1){o=o.slice(0,l);break}}n.stack=\"\".concat(o.join(`\n",
+       "`),`\n",
+       "`).concat(a.join(`\n",
+       "`))}throw n}};function z4e(e,t,r,n,i){if(!sD(t))throw new EA(\"regexp\",\"RegExp\",t);var a=i===\"match\";if(typeof e!=\"string\"||lD(t,e)!==a){if(r instanceof Error)throw r;var o=!r;r=r||(typeof e!=\"string\"?'The \"string\" argument must be of type string. Received type '+\"\".concat(Zg(e),\" (\").concat(oD(e),\")\"):(a?\"The input did not match the regular expression \":\"The input was expected to not match the regular expression \")+\"\".concat(oD(t),`. Input:\n",
+       "\n",
+       "`).concat(oD(e),`\n",
+       "`));var s=new J_({actual:e,expected:t,message:r,operator:i,stackStartFn:n});throw s.generatedMessage=o,s}}Ef.match=function e(t,r,n){z4e(t,r,n,e,\"match\")};Ef.doesNotMatch=function e(t,r,n){z4e(t,r,n,e,\"doesNotMatch\")};function q4e(){for(var e=arguments.length,t=new Array(e),r=0;r<e;r++)t[r]=arguments[r];C4e.apply(void 0,[q4e,t.length].concat(t))}Ef.strict=ukt(q4e,Ef,{equal:Ef.strictEqual,deepEqual:Ef.deepStrictEqual,notEqual:Ef.notStrictEqual,notDeepEqual:Ef.notDeepStrictEqual});Ef.strict.strict=Ef.strict});var N4e=ye((nvr,B4e)=>{var IE=1e3,RE=IE*60,DE=RE*60,FE=DE*24,fkt=FE*365.25;B4e.exports=function(e,t){t=t||{};var r=typeof e;if(r===\"string\"&&e.length>0)return hkt(e);if(r===\"number\"&&isNaN(e)===!1)return t.long?vkt(e):dkt(e);throw new Error(\"val is not a non-empty string or a valid number. val=\"+JSON.stringify(e))};function hkt(e){if(e=String(e),!(e.length>100)){var t=/^((?:\\d+)?\\.?\\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(e);if(t){var r=parseFloat(t[1]),n=(t[2]||\"ms\").toLowerCase();switch(n){case\"years\":case\"year\":case\"yrs\":case\"yr\":case\"y\":return r*fkt;case\"days\":case\"day\":case\"d\":return r*FE;case\"hours\":case\"hour\":case\"hrs\":case\"hr\":case\"h\":return r*DE;case\"minutes\":case\"minute\":case\"mins\":case\"min\":case\"m\":return r*RE;case\"seconds\":case\"second\":case\"secs\":case\"sec\":case\"s\":return r*IE;case\"milliseconds\":case\"millisecond\":case\"msecs\":case\"msec\":case\"ms\":return r;default:return}}}}function dkt(e){return e>=FE?Math.round(e/FE)+\"d\":e>=DE?Math.round(e/DE)+\"h\":e>=RE?Math.round(e/RE)+\"m\":e>=IE?Math.round(e/IE)+\"s\":e+\"ms\"}function vkt(e){return fD(e,FE,\"day\")||fD(e,DE,\"hour\")||fD(e,RE,\"minute\")||fD(e,IE,\"second\")||e+\" ms\"}function fD(e,t,r){if(!(e<t))return e<t*1.5?Math.floor(e/t)+\" \"+r:Math.ceil(e/t)+\" \"+r+\"s\"}});var V4e=ye((Lc,U4e)=>{Lc=U4e.exports=pW.debug=pW.default=pW;Lc.coerce=_kt;Lc.disable=mkt;Lc.enable=gkt;Lc.enabled=ykt;Lc.humanize=N4e();Lc.names=[];Lc.skips=[];Lc.formatters={};var vW;function pkt(e){var t=0,r;for(r in e)t=(t<<5)-t+e.charCodeAt(r),t|=0;return Lc.colors[Math.abs(t)%Lc.colors.length]}function pW(e){function t(){if(t.enabled){var r=t,n=+new Date,i=n-(vW||n);r.diff=i,r.prev=vW,r.curr=n,vW=n;for(var a=new Array(arguments.length),o=0;o<a.length;o++)a[o]=arguments[o];a[0]=Lc.coerce(a[0]),typeof a[0]!=\"string\"&&a.unshift(\"%O\");var s=0;a[0]=a[0].replace(/%([a-zA-Z%])/g,function(u,c){if(u===\"%%\")return u;s++;var f=Lc.formatters[c];if(typeof f==\"function\"){var h=a[s];u=f.call(r,h),a.splice(s,1),s--}return u}),Lc.formatArgs.call(r,a);var l=t.log||Lc.log||console.log.bind(console);l.apply(r,a)}}return t.namespace=e,t.enabled=Lc.enabled(e),t.useColors=Lc.useColors(),t.color=pkt(e),typeof Lc.init==\"function\"&&Lc.init(t),t}function gkt(e){Lc.save(e),Lc.names=[],Lc.skips=[];for(var t=(typeof e==\"string\"?e:\"\").split(/[\\s,]+/),r=t.length,n=0;n<r;n++)t[n]&&(e=t[n].replace(/\\*/g,\".*?\"),e[0]===\"-\"?Lc.skips.push(new RegExp(\"^\"+e.substr(1)+\"$\")):Lc.names.push(new RegExp(\"^\"+e+\"$\")))}function mkt(){Lc.enable(\"\")}function ykt(e){var t,r;for(t=0,r=Lc.skips.length;t<r;t++)if(Lc.skips[t].test(e))return!1;for(t=0,r=Lc.names.length;t<r;t++)if(Lc.names[t].test(e))return!0;return!1}function _kt(e){return e instanceof Error?e.stack||e.message:e}});var j4e=ye((up,H4e)=>{up=H4e.exports=V4e();up.log=wkt;up.formatArgs=bkt;up.save=Tkt;up.load=G4e;up.useColors=xkt;up.storage=typeof chrome!=\"undefined\"&&typeof chrome.storage!=\"undefined\"?chrome.storage.local:Akt();up.colors=[\"lightseagreen\",\"forestgreen\",\"goldenrod\",\"dodgerblue\",\"darkorchid\",\"crimson\"];function xkt(){return typeof window!=\"undefined\"&&window.process&&window.process.type===\"renderer\"?!0:typeof document!=\"undefined\"&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||typeof window!=\"undefined\"&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\\/(\\d+)/)&&parseInt(RegExp.$1,10)>=31||typeof navigator!=\"undefined\"&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\\/(\\d+)/)}up.formatters.j=function(e){try{return JSON.stringify(e)}catch(t){return\"[UnexpectedJSONParseError]: \"+t.message}};function bkt(e){var t=this.useColors;if(e[0]=(t?\"%c\":\"\")+this.namespace+(t?\" %c\":\" \")+e[0]+(t?\"%c \":\" \")+\"+\"+up.humanize(this.diff),!!t){var r=\"color: \"+this.color;e.splice(1,0,r,\"color: inherit\");var n=0,i=0;e[0].replace(/%[a-zA-Z%]/g,function(a){a!==\"%%\"&&(n++,a===\"%c\"&&(i=n))}),e.splice(i,0,r)}}function wkt(){return typeof console==\"object\"&&console.log&&Function.prototype.apply.call(console.log,console,arguments)}function Tkt(e){try{e==null?up.storage.removeItem(\"debug\"):up.storage.debug=e}catch(t){}}function G4e(){var e;try{e=up.storage.debug}catch(t){}return!e&&typeof process!=\"undefined\"&&\"env\"in process&&(e=process.env.DEBUG),e}up.enable(G4e());function Akt(){try{return window.localStorage}catch(e){}}});var Q4e=ye((avr,$4e)=>{var kA=_E(),$_=j4e()(\"stream-parser\");$4e.exports=Mkt;var X4e=-1,hD=0,Skt=1,Z4e=2;function Mkt(e){var t=e&&typeof e._transform==\"function\",r=e&&typeof e._write==\"function\";if(!t&&!r)throw new Error(\"must pass a Writable or Transform stream in\");$_(\"extending Parser into stream\"),e._bytes=Ekt,e._skipBytes=kkt,t&&(e._passthrough=Ckt),t?e._transform=Pkt:e._write=Lkt}function zE(e){$_(\"initializing parser stream\"),e._parserBytesLeft=0,e._parserBuffers=[],e._parserBuffered=0,e._parserState=X4e,e._parserCallback=null,typeof e.push==\"function\"&&(e._parserOutput=e.push.bind(e)),e._parserInit=!0}function Ekt(e,t){kA(!this._parserCallback,'there is already a \"callback\" set!'),kA(isFinite(e)&&e>0,'can only buffer a finite number of bytes > 0, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"buffering %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=hD}function kkt(e,t){kA(!this._parserCallback,'there is already a \"callback\" set!'),kA(e>0,'can only skip > 0 bytes, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"skipping %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=Skt}function Ckt(e,t){kA(!this._parserCallback,'There is already a \"callback\" set!'),kA(e>0,'can only pass through > 0 bytes, got \"'+e+'\"'),this._parserInit||zE(this),$_(\"passing through %o bytes\",e),this._parserBytesLeft=e,this._parserCallback=t,this._parserState=Z4e}function Lkt(e,t,r){this._parserInit||zE(this),$_(\"write(%o bytes)\",e.length),typeof t==\"function\"&&(r=t),K4e(this,e,null,r)}function Pkt(e,t,r){this._parserInit||zE(this),$_(\"transform(%o bytes)\",e.length),typeof t!=\"function\"&&(t=this._parserOutput),K4e(this,e,t,r)}function Y4e(e,t,r,n){return e._parserBytesLeft<=0?n(new Error(\"got data but not currently parsing anything\")):t.length<=e._parserBytesLeft?function(){return W4e(e,t,r,n)}:function(){var i=t.slice(0,e._parserBytesLeft);return W4e(e,i,r,function(a){if(a)return n(a);if(t.length>i.length)return function(){return Y4e(e,t.slice(i.length),r,n)}})}}function W4e(e,t,r,n){if(e._parserBytesLeft-=t.length,$_(\"%o bytes left for stream piece\",e._parserBytesLeft),e._parserState===hD?(e._parserBuffers.push(t),e._parserBuffered+=t.length):e._parserState===Z4e&&r(t),e._parserBytesLeft===0){var i=e._parserCallback;if(i&&e._parserState===hD&&e._parserBuffers.length>1&&(t=Buffer.concat(e._parserBuffers,e._parserBuffered)),e._parserState!==hD&&(t=null),e._parserCallback=null,e._parserBuffered=0,e._parserState=X4e,e._parserBuffers.splice(0),i){var a=[];t&&a.push(t),r&&a.push(r);var o=i.length>a.length;o&&a.push(J4e(n));var s=i.apply(e,a);if(!o||n===s)return n}}else return n}var K4e=J4e(Y4e);function J4e(e){return function(){for(var t=e.apply(this,arguments);typeof t==\"function\";)t=t();return t}}});var rc=ye($y=>{\"use strict\";var eEe=WSe().Transform,Ikt=Q4e();function qE(){eEe.call(this,{readableObjectMode:!0})}qE.prototype=Object.create(eEe.prototype);qE.prototype.constructor=qE;Ikt(qE.prototype);$y.ParserStream=qE;$y.sliceEq=function(e,t,r){for(var n=t,i=0;i<r.length;)if(e[n++]!==r[i++])return!1;return!0};$y.str2arr=function(e,t){var r=[],n=0;if(t&&t===\"hex\")for(;n<e.length;)r.push(parseInt(e.slice(n,n+2),16)),n+=2;else for(;n<e.length;n++)r.push(e.charCodeAt(n)&255);return r};$y.readUInt16LE=function(e,t){return e[t]|e[t+1]<<8};$y.readUInt16BE=function(e,t){return e[t+1]|e[t]<<8};$y.readUInt32LE=function(e,t){return e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]*16777216};$y.readUInt32BE=function(e,t){return e[t+3]|e[t+2]<<8|e[t+1]<<16|e[t]*16777216};function dD(e,t,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=new Error().stack||\"\",this.name=this.constructor.name,this.message=e,t&&(this.code=t),r&&(this.statusCode=r)}dD.prototype=Object.create(Error.prototype);dD.prototype.constructor=dD;$y.ProbeError=dD});var tEe=ye((svr,vD)=>{\"use strict\";var CA=rc().readUInt16BE,mW=rc().readUInt32BE;function OE(e,t){if(e.length<4+t)return null;var r=mW(e,t);return e.length<r+t||r<8?null:{boxtype:String.fromCharCode.apply(null,e.slice(t+4,t+8)),data:e.slice(t+8,t+r),end:t+r}}vD.exports.unbox=OE;function Rkt(e,t){for(var r=0;;){var n=OE(e,r);if(!n)break;switch(n.boxtype){case\"ispe\":t.sizes.push({width:mW(n.data,4),height:mW(n.data,8)});break;case\"irot\":t.transforms.push({type:\"irot\",value:n.data[0]&3});break;case\"imir\":t.transforms.push({type:\"imir\",value:n.data[0]&1});break}r=n.end}}function gW(e,t,r){for(var n=0,i=0;i<r;i++)n=n*256+(e[t+i]||0);return n}function Dkt(e,t){for(var r=e[4]>>4&15,n=e[4]&15,i=e[5]>>4&15,a=CA(e,6),o=8,s=0;s<a;s++){var l=CA(e,o);o+=2;var u=CA(e,o);o+=2;var c=gW(e,o,i);o+=i;var f=CA(e,o);if(o+=2,u===0&&f===1){var h=gW(e,o,r),d=gW(e,o+r,n);t.item_loc[l]={length:d,offset:h+c}}o+=f*(r+n)}}function Fkt(e,t){for(var r=CA(e,4),n=6,i=0;i<r;i++){var a=OE(e,n);if(!a)break;if(a.boxtype===\"infe\"){for(var o=CA(a.data,4),s=\"\",l=8;l<a.data.length&&a.data[l];l++)s+=String.fromCharCode(a.data[l]);t.item_inf[s]=o}n=a.end}}function zkt(e,t){for(var r=0;;){var n=OE(e,r);if(!n)break;n.boxtype===\"ipco\"&&Rkt(n.data,t),r=n.end}}function qkt(e,t){for(var r=4;;){var n=OE(e,r);if(!n)break;n.boxtype===\"iprp\"&&zkt(n.data,t),n.boxtype===\"iloc\"&&Dkt(n.data,t),n.boxtype===\"iinf\"&&Fkt(n.data,t),r=n.end}}function Okt(e){var t=e.reduce(function(i,a){return i.width>a.width||i.width===a.width&&i.height>a.height?i:a}),r=e.reduce(function(i,a){return i.height>a.height||i.height===a.height&&i.width>a.width?i:a}),n;return t.width>r.height||t.width===r.height&&t.height>r.width?n=t:n=r,n}vD.exports.readSizeFromMeta=function(e){var t={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(qkt(e,t),!!t.sizes.length){var r=Okt(t.sizes),n=1;t.transforms.forEach(function(a){var o={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},s={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(a.type===\"imir\"&&(a.value===0?n=s[n]:(n=s[n],n=o[n],n=o[n])),a.type===\"irot\")for(var l=0;l<a.value;l++)n=o[n]});var i=null;return t.item_inf.Exif&&(i=t.item_loc[t.item_inf.Exif]),{width:r.width,height:r.height,orientation:t.transforms.length?n:null,variants:t.sizes,exif_location:i}}};vD.exports.getMimeType=function(e){var t=String.fromCharCode.apply(null,e.slice(0,4)),r={};r[t]=!0;for(var n=8;n<e.length;n+=4)r[String.fromCharCode.apply(null,e.slice(n,n+4))]=!0;if(!(!r.mif1&&!r.msf1&&!r.miaf))return t===\"avif\"||t===\"avis\"||t===\"avio\"?{type:\"avif\",mime:\"image/avif\"}:t===\"heic\"||t===\"heix\"?{type:\"heic\",mime:\"image/heic\"}:t===\"hevc\"||t===\"hevx\"?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}});var gD=ye((lvr,yW)=>{\"use strict\";function pD(e,t){var r=new Error(e);return r.code=t,r}function Bkt(e){try{return decodeURIComponent(escape(e))}catch(t){return e}}function Qy(e,t,r){this.input=e.subarray(t,r),this.start=t;var n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw pD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}Qy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};Qy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw pD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};Qy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw pD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};Qy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};Qy.prototype.exif_format_length=function(e){switch(e){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}};Qy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};Qy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;i<n;i++){var a=this.read_uint16(t),o=this.read_uint16(t+2),s=this.read_uint32(t+4),l=this.exif_format_length(o),u=s*l,c=u<=4?t+8:this.read_uint32(t+8),f=!1;if(c+u>this.input.length)throw pD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v<s;v++,d+=l){var m=this.exif_format_read(o,d);if(m===null){h=null;break}h.push(m)}Array.isArray(h)&&o===2&&(h=Bkt(String.fromCharCode.apply(null,h)),h&&h[h.length-1]===\"\\0\"&&(h=h.slice(0,-1))),this.is_subifd_link(e,a)&&Array.isArray(h)&&Number.isInteger(h[0])&&h[0]>0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};yW.exports.ExifParser=Qy;yW.exports.get_orientation=function(e){var t=0;try{return new Qy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var iEe=ye((uvr,rEe)=>{\"use strict\";var Nkt=rc().str2arr,Ukt=rc().sliceEq,Vkt=rc().readUInt32BE,mD=tEe(),Gkt=gD(),Hkt=Nkt(\"ftyp\");rEe.exports=function(e){if(Ukt(e,4,Hkt)){var t=mD.unbox(e,0);if(t){var r=mD.getMimeType(t.data);if(r){for(var n,i=t.end;;){var a=mD.unbox(e,i);if(!a)break;if(i=a.end,a.boxtype===\"mdat\")return;if(a.boxtype===\"meta\"){n=a.data;break}}if(n){var o=mD.readSizeFromMeta(n);if(o){var s={width:o.width,height:o.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(o.variants.length>1&&(s.variants=o.variants),o.orientation&&(s.orientation=o.orientation),o.exif_location&&o.exif_location.offset+o.exif_location.length<=e.length){var l=Vkt(e,o.exif_location.offset),u=e.slice(o.exif_location.offset+l+4,o.exif_location.offset+o.exif_location.length),c=Gkt.get_orientation(u);c>0&&(s.orientation=c)}return s}}}}}}});var oEe=ye((cvr,aEe)=>{\"use strict\";var jkt=rc().str2arr,Wkt=rc().sliceEq,nEe=rc().readUInt16LE,Xkt=jkt(\"BM\");aEe.exports=function(e){if(!(e.length<26)&&Wkt(e,0,Xkt))return{width:nEe(e,18),height:nEe(e,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}});var fEe=ye((fvr,cEe)=>{\"use strict\";var uEe=rc().str2arr,sEe=rc().sliceEq,lEe=rc().readUInt16LE,Zkt=uEe(\"GIF87a\"),Ykt=uEe(\"GIF89a\");cEe.exports=function(e){if(!(e.length<10)&&!(!sEe(e,0,Zkt)&&!sEe(e,0,Ykt)))return{width:lEe(e,6),height:lEe(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var vEe=ye((hvr,dEe)=>{\"use strict\";var _W=rc().readUInt16LE,Kkt=0,Jkt=1,hEe=16;dEe.exports=function(e){var t=_W(e,0),r=_W(e,2),n=_W(e,4);if(!(t!==Kkt||r!==Jkt||!n)){for(var i=[],a={width:0,height:0},o=0;o<n;o++){var s=e[6+hEe*o]||256,l=e[6+hEe*o+1]||256,u={width:s,height:l};i.push(u),(s>a.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var gEe=ye((dvr,pEe)=>{\"use strict\";var xW=rc().readUInt16BE,$kt=rc().str2arr,Qkt=rc().sliceEq,eCt=gD(),tCt=$kt(\"Exif\\0\\0\");pEe.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var 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i.width?LA(a)?{width:a,height:a/f,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(i.width),hUnits:Zm(i.width)}:void 0:i.height?LA(o)?{width:o*f,height:o,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(i.height),hUnits:Zm(i.height)}:void 0:{width:u,height:c,type:\"svg\",mime:\"image/svg+xml\",wUnits:Zm(l.width),hUnits:Zm(l.height)}}}}}});var IEe=ye((mvr,PEe)=>{\"use strict\";var LEe=rc().str2arr,kEe=rc().sliceEq,pCt=rc().readUInt16LE,gCt=rc().readUInt16BE,mCt=rc().readUInt32LE,yCt=rc().readUInt32BE,_Ct=LEe(\"II*\\0\"),xCt=LEe(\"MM\\0*\");function yD(e,t,r){return r?gCt(e,t):pCt(e,t)}function bW(e,t,r){return r?yCt(e,t):mCt(e,t)}function CEe(e,t,r){var n=yD(e,t+2,r),i=bW(e,t+4,r);return i!==1||n!==3&&n!==4?null:n===3?yD(e,t+8,r):bW(e,t+8,r)}PEe.exports=function(e){if(!(e.length<8)&&!(!kEe(e,0,_Ct)&&!kEe(e,0,xCt))){var t=e[0]===77,r=bW(e,4,t)-8;if(!(r<0)){var n=r+8;if(!(e.length-n<2)){var i=yD(e,n+0,t)*12;if(!(i<=0)&&(n+=2,!(e.length-n<i))){var 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t=12,r=null,n=0,i=wW(e,4)+8;if(!(i>e.length)){for(;t+8<i;){if(e[t]===0){t++;continue}var a=String.fromCharCode.apply(null,e.slice(t,t+4)),o=wW(e,t+4);a===\"VP8 \"&&o>=10?r=r||ACt(e,t+8):a===\"VP8L\"&&o>=9?r=r||SCt(e,t+8):a===\"VP8X\"&&o>=10?r=r||MCt(e,t+8):a===\"EXIF\"&&(n=bCt.get_orientation(e.slice(t+8,t+8+o)),t=1/0),t+=8+o}if(r)return n>0&&(r.orientation=n),r}}}});var BEe=ye((_vr,OEe)=>{\"use strict\";OEe.exports={avif:iEe(),bmp:oEe(),gif:fEe(),ico:vEe(),jpeg:gEe(),png:bEe(),psd:AEe(),svg:EEe(),tiff:IEe(),webp:qEe()}});var NEe=ye((xvr,AW)=>{\"use strict\";var TW=BEe();function ECt(e){for(var t=Object.keys(TW),r=0;r<t.length;r++){var n=TW[t[r]](e);if(n)return n}return null}AW.exports=function(t){return ECt(t)};AW.exports.parsers=TW});var VEe=ye(UEe=>{\"use strict\";var kCt=NEe(),CCt=Oy().IMAGE_URL_PREFIX,LCt=w2().Buffer;UEe.getImageSize=function(e){var t=e.replace(CCt,\"\"),r=new LCt(t,\"base64\");return kCt(r)}});var jEe=ye((wvr,HEe)=>{\"use strict\";var 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bD=Vl(),jCt=Cc().attributes,WCt=ec(),XCt=Ih(),{hovertemplateAttrs:ZCt,texttemplateAttrs:YCt,templatefallbackAttrs:ske}=Pl(),Q_=Ao().extendFlat,KCt=Pd().pattern,wD=WCt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});lke.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:XCt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:KCt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:Q_({},bD.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:ZCt({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),hovertemplatefallback:ske(),texttemplate:YCt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplatefallback:ske({editType:\"plot\"}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:Q_({},wD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:Q_({},wD,{}),outsidetextfont:Q_({},wD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:Q_({},bD.showlegend,{arrayOk:!0}),legend:Q_({},bD.legend,{arrayOk:!0}),legendrank:Q_({},bD.legendrank,{arrayOk:!0}),title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:Q_({},wD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:jCt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var O2=ye((Lvr,fke)=>{\"use strict\";var JCt=Eo(),BE=Pr(),$Ct=q2(),QCt=Cc().defaults,e6t=i0().handleText,t6t=Pr().coercePattern;function uke(e,t){var r=BE.isArrayOrTypedArray(e),n=BE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o<i;o++){var s=t[o];if(JCt(s)&&s>0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function cke(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");t6t(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function r6t(e,t,r,n){function i(k,M){return BE.coerce(e,t,$Ct,k,M)}var a=i(\"labels\"),o=i(\"values\"),s=uke(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,cke(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\");i(\"texttemplatefallback\");var f;if(c||(f=i(\"textinfo\",BE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),i(\"hovertemplatefallback\"),c||f&&f!==\"none\"){var h=i(\"textposition\");e6t(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");QCt(t,n,i);var m=i(\"hole\"),b=i(\"title.text\");if(b){var p=i(\"title.position\",m?\"middle center\":\"top center\");!m&&p===\"middle center\"&&(t.title.position=\"top center\"),BE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}fke.exports={handleLabelsAndValues:uke,handleMarkerDefaults:cke,supplyDefaults:r6t}});var TD=ye((Pvr,hke)=>{\"use strict\";hke.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var vke=ye((Ivr,dke)=>{\"use 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x.v-L.v}),r[0]&&(r[0].vTotal=v),r}function pke(e){return function(r,n){return!r||(r=SW(r),!r.isValid())?!1:(r=o6t.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function u6t(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=gke(a,s6t));for(var s=0,l=0;l<i.length;l++){var u=i[l],c=u[0].trace.type;if(c===r)for(var f=0;f<u.length;f++){var h=u[f];h.color===!1&&(o[h.label]?h.color=o[h.label]:(o[h.label]=h.color=a[s%a.length],s++))}}}function gke(e,t){var r,n=JSON.stringify(e),i=t[n];if(!i){for(i=e.slice(),r=0;r<e.length;r++)i.push(SW(e[r]).lighten(20).toHexString());for(r=0;r<e.length;r++)i.push(SW(e[r]).darken(20).toHexString());t[n]=i}return i}mke.exports={calc:l6t,crossTraceCalc:u6t,makePullColorFn:pke,generateExtendedColors:gke}});var _ke=ye((Dvr,yke)=>{\"use strict\";var c6t=ip().appendArrayMultiPointValues;yke.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),c6t(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var ED=ye((Fvr,Nke)=>{\"use strict\";var Fp=Fa(),f6t=Mc(),AD=ef(),Ske=ka(),e1=So(),iv=Pr(),h6t=iv.strScale,xke=iv.strTranslate,MW=Zl(),Mke=bv(),d6t=Mke.recordMinTextSize,v6t=Mke.clearMinTextSize,Eke=S_().TEXTPAD,ns=m_(),SD=_ke(),bke=Pr().isValidTextValue;function p6t(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;v6t(\"pie\",n),Lke(t,e),qke(t,i);var a=iv.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=Fp.select(this),l=o[0],u=l.trace;A6t(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=Fp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(T,L){if(T.hidden){Fp.select(this).selectAll(\"path,g\").remove();return}T.pointNumber=T.i,T.curveNumber=u.index,f[T.pxmid[1]<0?0:1][T.pxmid[0]<0?0:1].push(T);var x=l.cx,C=l.cy,S=Fp.select(this),g=S.selectAll(\"path.surface\").data([T]);if(g.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),S.call(kke,e,o),u.pull){var P=+ns.castOption(u.pull,T.pts)||0;P>0&&(x+=P*T.pxmid[0],C+=P*T.pxmid[1])}T.cxFinal=x,T.cyFinal=C;function E(N,H,re,ae){var _e=ae*(H[0]-N[0]),Ee=ae*(H[1]-N[1]);return\"a\"+ae*l.r+\",\"+ae*l.r+\" 0 \"+T.largeArc+(re?\" 1 \":\" 0 \")+_e+\",\"+Ee}var z=u.hole;if(T.v===l.vTotal){var q=\"M\"+(x+T.px0[0])+\",\"+(C+T.px0[1])+E(T.px0,T.pxmid,!0,1)+E(T.pxmid,T.px0,!0,1)+\"Z\";z?g.attr(\"d\",\"M\"+(x+z*T.px0[0])+\",\"+(C+z*T.px0[1])+E(T.px0,T.pxmid,!1,z)+E(T.pxmid,T.px0,!1,z)+\"Z\"+q):g.attr(\"d\",q)}else{var V=E(T.px0,T.px1,!0,1);if(z){var G=1-z;g.attr(\"d\",\"M\"+(x+z*T.px1[0])+\",\"+(C+z*T.px1[1])+E(T.px1,T.px0,!1,z)+\"l\"+G*T.px0[0]+\",\"+G*T.px0[1]+V+\"Z\")}else g.attr(\"d\",\"M\"+x+\",\"+C+\"l\"+T.px0[0]+\",\"+T.px0[1]+V+\"Z\")}Oke(e,T,l);var Z=ns.castOption(u.textposition,T.pts),j=S.selectAll(\"g.slicetext\").data(T.text&&Z!==\"none\"?[0]:[]);j.enter().append(\"g\").classed(\"slicetext\",!0),j.exit().remove(),j.each(function(){var N=iv.ensureSingle(Fp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),H=iv.ensureUniformFontSize(e,Z===\"outside\"?m6t(u,T,n.font):Cke(u,T,n.font));N.text(T.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(e1.font,H).call(MW.convertToTspans,e);var re=e1.bBox(N.node()),ae;if(Z===\"outside\")ae=Ake(re,T);else if(ae=Pke(re,T,l),Z===\"auto\"&&ae.scale<1){var _e=iv.ensureUniformFontSize(e,u.outsidetextfont);N.call(e1.font,_e),re=e1.bBox(N.node()),ae=Ake(re,T)}var Ee=ae.textPosAngle,Ce=Ee===void 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v=e1.bBox(s.node()),m=u.domain,b=i.w*(m.x[1]-m.x[0]),p=i.h*(m.y[1]-m.y[0]),k=(.5*b-l.r)/i.w,M=(.5*p-l.r)/i.h;f6t.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:m.x[0]-k,xr:m.x[1]+k,yb:m.y[0]-M,yt:m.y[1]+M,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=Fp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function g6t(e,t){e.each(function(r){var n=Fp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,iv.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;iv.ensureSingle(n,\"path\",\"textline\").call(Ske.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function kke(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=AD.castHoverinfo({hoverinfo:[ns.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),m=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=ns.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var p=l.text;iv.isValidTextValue(p)&&b.push(p)}l.value=l.v,l.valueLabel=ns.formatPieValue(l.v,m),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=ns.formatPiePercent(l.percent,m),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var k=c.hoverlabel,M=k.font,T=[];AD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"<br>\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:ns.castOption(k.bgcolor,l.pts)||l.color,borderColor:ns.castOption(k.bordercolor,l.pts),fontFamily:ns.castOption(M.family,l.pts),fontSize:ns.castOption(M.size,l.pts),fontColor:ns.castOption(M.color,l.pts),nameLength:ns.castOption(k.namelength,l.pts),textAlign:ns.castOption(k.align,l.pts),hovertemplate:ns.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[SD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:T}),l.bbox=T[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[SD(l,c)],event:Fp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=Fp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=Fp.event,t.emit(\"plotly_unhover\",{points:[SD(f,c)],event:Fp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(AD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[SD(l,c)],AD.click(t,Fp.event))})}function m6t(e,t,r){var n=ns.castOption(e.outsidetextfont.color,t.pts)||ns.castOption(e.textfont.color,t.pts)||r.color,i=ns.castOption(e.outsidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.outsidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.outsidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.outsidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.outsidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.outsidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.outsidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.outsidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function Cke(e,t,r){var n=ns.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=ns.castOption(e._input.textfont.color,t.pts));var i=ns.castOption(e.insidetextfont.family,t.pts)||ns.castOption(e.textfont.family,t.pts)||r.family,a=ns.castOption(e.insidetextfont.size,t.pts)||ns.castOption(e.textfont.size,t.pts)||r.size,o=ns.castOption(e.insidetextfont.weight,t.pts)||ns.castOption(e.textfont.weight,t.pts)||r.weight,s=ns.castOption(e.insidetextfont.style,t.pts)||ns.castOption(e.textfont.style,t.pts)||r.style,l=ns.castOption(e.insidetextfont.variant,t.pts)||ns.castOption(e.textfont.variant,t.pts)||r.variant,u=ns.castOption(e.insidetextfont.textcase,t.pts)||ns.castOption(e.textfont.textcase,t.pts)||r.textcase,c=ns.castOption(e.insidetextfont.lineposition,t.pts)||ns.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=ns.castOption(e.insidetextfont.shadow,t.pts)||ns.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n||Ske.contrast(t.color),family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function Lke(e,t){for(var r,n,i=0;i<e.length;i++)if(r=e[i][0],n=r.trace,n.title.text){var a=n.title.text;n._meta&&(a=iv.templateString(a,n._meta));var o=e1.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(e1.font,n.title.font).call(MW.convertToTspans,t),s=e1.bBox(o.node(),!0);r.titleBox={width:s.width,height:s.height},o.remove()}}function Pke(e,t,r){var n=r.r||t.rpx1,i=t.rInscribed,a=t.startangle===t.stopangle;if(a)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var o=t.ring,s=o===1&&Math.abs(t.startangle-t.stopangle)===Math.PI*2,l=t.halfangle,u=t.midangle,c=r.trace.insidetextorientation,f=c===\"horizontal\",h=c===\"tangential\",d=c===\"radial\",v=c===\"auto\",m=[],b;if(!v){var p=function(S,g){if(y6t(t,S)){var 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s=o.split(\"+\"),l=function(T){return s.indexOf(T)!==-1},u=l(\"label\"),c=l(\"text\"),f=l(\"value\"),h=l(\"percent\"),d=n.separators,v;if(v=u?[t.label]:[],c){var m=ns.getFirstFilled(i.text,t.pts);bke(m)&&v.push(m)}f&&v.push(ns.formatPieValue(t.v,d)),h&&v.push(ns.formatPiePercent(t.v/r.vTotal,d)),t.text=v.join(\"<br>\")}function b(T){return{label:T.label,value:T.v,valueLabel:ns.formatPieValue(T.v,n.separators),percent:T.v/r.vTotal,percentLabel:ns.formatPiePercent(T.v/r.vTotal,n.separators),color:T.color,text:T.text,customdata:iv.castOption(i,T.i,\"customdata\")}}if(a){var p=iv.castOption(i,t.i,\"texttemplate\");if(!p)t.text=\"\";else{var k=b(t),M=ns.getFirstFilled(i.text,t.pts);(bke(M)||M===\"\")&&(k.text=M),t.text=iv.texttemplateString({data:[k,i._meta],fallback:i.texttemplatefallback,labels:k,locale:e._fullLayout._d3locale,template:p})}}}function Bke(e,t){var r=e.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(t.left+t.right)/2,o=(t.top+t.bottom)/2;e.textX=a*n-o*i,e.textY=a*i+o*n,e.noCenter=!0}Nke.exports={plot:p6t,formatSliceLabel:Oke,transformInsideText:Pke,determineInsideTextFont:Cke,positionTitleOutside:Fke,prerenderTitles:Lke,layoutAreas:qke,attachFxHandlers:kke,computeTransform:Bke}});var Gke=ye((zvr,Vke)=>{\"use strict\";var Uke=Fa(),S6t=J3(),M6t=bv().resizeText;Vke.exports=function(t){var r=t._fullLayout._pielayer.selectAll(\".trace\");M6t(t,r,\"pie\"),r.each(function(n){var i=n[0],a=i.trace,o=Uke.select(this);o.style({opacity:a.opacity}),o.selectAll(\"path.surface\").each(function(s){Uke.select(this).call(S6t,s,a,t)})})}});var jke=ye(IA=>{\"use strict\";var Hke=Mc();IA.name=\"pie\";IA.plot=function(e,t,r,n){Hke.plotBasePlot(IA.name,e,t,r,n)};IA.clean=function(e,t,r,n){Hke.cleanBasePlot(IA.name,e,t,r,n)}});var Xke=ye((Ovr,Wke)=>{\"use 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E6t=Vl(),{hovertemplateAttrs:k6t,texttemplateAttrs:C6t,templatefallbackAttrs:Qke}=Pl(),L6t=Tu(),P6t=Cc().attributes,t1=q2(),eCe=kW(),NE=Ao().extendFlat,I6t=Pd().pattern;tCe.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:NE({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:NE({},t1.marker.line.color,{dflt:null}),width:NE({},t1.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:I6t,editType:\"calc\"},L6t(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:t1.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],extras:[\"none\"],editType:\"plot\"},texttemplate:C6t({editType:\"plot\"},{keys:eCe.eventDataKeys.concat([\"label\",\"value\"])}),texttemplatefallback:Qke({editType:\"plot\"}),hovertext:t1.hovertext,hoverinfo:NE({},E6t.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"name\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],dflt:\"label+text+value+name\"}),hovertemplate:k6t({},{keys:eCe.eventDataKeys}),hovertemplatefallback:Qke(),textfont:t1.textfont,insidetextorientation:t1.insidetextorientation,insidetextfont:t1.insidetextfont,outsidetextfont:NE({},t1.outsidetextfont,{}),rotation:{valType:\"angle\",dflt:0,editType:\"plot\"},sort:t1.sort,root:{color:{valType:\"color\",editType:\"calc\",dflt:\"rgba(0,0,0,0)\"},editType:\"calc\"},domain:P6t({name:\"sunburst\",trace:!0,editType:\"calc\"})}});var CW=ye((Gvr,rCe)=>{\"use 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ie=rk.select(this),Se=Av.ensureSingle(ie,\"path\",\"surface\",function(Pe){Pe.style(\"pointer-events\",i?\"none\":\"all\")});ge.rpx0=q(ge.y0),ge.rpx1=q(ge.y1),ge.xmid=(ge.x0+ge.x1)/2,ge.pxmid=V(ge.rpx1,ge.xmid),ge.midangle=-(ge.xmid-Math.PI/2),ge.startangle=-(ge.x0-Math.PI/2),ge.stopangle=-(ge.x1-Math.PI/2),ge.halfangle=.5*Math.min(Av.angleDelta(ge.x0,ge.x1)||Math.PI,Math.PI),ge.ring=1-ge.rpx0/ge.rpx1,ge.rInscribed=OLt(ge,c),o?Se.transition().attrTween(\"d\",function(Pe){var ce=_e(Pe);return function(He){return G(ce(He))}}):Se.attr(\"d\",G),ie.call(zLt,h,e,t,{eventDataKeys:QW.eventDataKeys,transitionTime:QW.CLICK_TRANSITION_TIME,transitionEasing:QW.CLICK_TRANSITION_EASING}).call(Il.setSliceCursor,e,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:e._transitioning}),Se.call(DLt,ge,c,e);var ke=Av.ensureSingle(ie,\"g\",\"slicetext\"),be=Av.ensureSingle(ke,\"text\",\"\",function(Pe){Pe.attr(\"data-notex\",1)}),Be=Av.ensureUniformFontSize(e,Il.determineTextFont(c,ge,a.font));be.text(YD.formatSliceLabel(ge,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(P6e.font,Be).call(CLt.convertToTspans,e);var Le=P6e.bBox(be.node());ge.transform=RLt(Le,ge,u),ge.transform.targetX=Z(ge),ge.transform.targetY=j(ge);var me=function(Pe,ce){var He=Pe.transform;return ILt(He,ce),He.fontSize=Be.size,I6e(c.type,He,a),Av.getTextTransform(He)};o?be.transition().attrTween(\"transform\",function(Pe){var ce=Ee(Pe);return function(He){return me(ce(He),Le)}}):be.attr(\"transform\",me(ge,Le))});function ae(ge){var ie=Il.getPtId(ge),Se=x[ie],ke=x[Il.getPtId(h)],be;if(ke){var Be=(ge.x1>ke.x1?2*Math.PI:0)+E;be=ge.rpx1<ke.rpx1?{x0:ge.x0,x1:ge.x1,rpx0:0,rpx1:0}:{x0:Be,x1:Be,rpx0:ge.rpx0,rpx1:ge.rpx1}}else{var Le,me=Il.getPtId(ge.parent);l.each(function(mt){if(Il.getPtId(mt)===me)return Le=mt});var Pe=Le.children,ce;Pe.forEach(function(mt,Ht){if(Il.getPtId(mt)===ie)return ce=Ht});var He=Pe.length,lt=Jg(Le.x0,Le.x1);be={rpx0:k,rpx1:k,x0:lt(ce/He),x1:lt((ce+1)/He)}}return Jg(Se,be)}function _e(ge){var ie=x[Il.getPtId(ge)],Se,ke={x0:ge.x0,x1:ge.x1,rpx0:ge.rpx0,rpx1:ge.rpx1};if(ie)Se=ie;else if(L)if(ge.parent)if(N){var be=(ge.x1>N?2*Math.PI:0)+E;Se={x0:be,x1:be}}else Se={rpx0:k,rpx1:k},Av.extendFlat(Se,Ce(ge));else Se={rpx0:0,rpx1:0};else Se={x0:E,x1:E};return Jg(Se,ke)}function Ee(ge){var ie=x[Il.getPtId(ge)],Se,ke=ge.transform;if(ie)Se=ie;else if(Se={rpx1:ge.rpx1,transform:{textPosAngle:ke.textPosAngle,scale:0,rotate:ke.rotate,rCenter:ke.rCenter,x:ke.x,y:ke.y}},L)if(ge.parent)if(N){var be=ge.x1>N?2*Math.PI:0;Se.x0=Se.x1=be}else Av.extendFlat(Se,Ce(ge));else Se.x0=Se.x1=E;else Se.x0=Se.x1=E;var 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C={};u.label&&(C.label=u.label),u.hasOwnProperty(\"v\")&&(C.value=u.v,C.valueLabel=Il.formatValue(u.v,s)),C.currentPath=Il.getPath(e.data),f||(C.percentParent=d/Il.getValue(h),C.percentParentLabel=Il.formatPercent(C.percentParent,s),C.parent=Il.getPtLabel(h)),C.percentEntry=d/Il.getValue(t),C.percentEntryLabel=Il.formatPercent(C.percentEntry,s),C.entry=Il.getPtLabel(t),C.percentRoot=d/Il.getValue(c),C.percentRootLabel=Il.formatPercent(C.percentRoot,s),C.root=Il.getPtLabel(c),u.hasOwnProperty(\"color\")&&(C.color=u.color);var S=Av.castOption(r,u.i,\"text\");return(Av.isValidTextValue(S)||S===\"\")&&(C.text=S),C.customdata=Av.castOption(r,u.i,\"customdata\"),Av.texttemplateString({data:[C,r._meta],fallback:r.texttemplatefallback,labels:C,locale:i._d3locale,template:x})};function OLt(e){return e.rpx0===0&&Av.isFullCircle([e.x0,e.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(e.halfangle)),e.ring/2))}function D6e(e){return BLt(e.rpx1,e.transform.textPosAngle)}function 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),a(\"texttemplatefallback\"),r.texttemplate||a(\"textinfo\",Z6e.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var f=a(\"pathbar.visible\"),h=\"auto\";ZLt(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;KLt(t,r,i,a);var v=r._hasColorscale=JLt(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?$Lt(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var m=r.textfont.size*2;a(\"marker.pad.t\",d?m/4:m),a(\"marker.pad.l\",m/4),a(\"marker.pad.r\",m/4),a(\"marker.pad.b\",d?m:m/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:WLt.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*YLt),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),XLt(r,i,a),r._length=null}});var Q6e=ye((X0r,$6e)=>{\"use strict\";var QLt=Pr(),ePt=tX();$6e.exports=function(t,r){function n(i,a){return QLt.coerce(t,r,ePt,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var iX=ye(rX=>{\"use strict\";var eLe=HE();rX.calc=function(e,t){return eLe.calc(e,t)};rX.crossTraceCalc=function(e){return eLe._runCrossTraceCalc(\"treemap\",e)}});var nX=ye((Y0r,tLe)=>{\"use strict\";tLe.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var a=t.children;if(a)for(var o=0;o<a.length;o++)e(a[o],r,n)}});var aX=ye((K0r,rLe)=>{\"use strict\";var HA=VE(),tPt=nX();rLe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.packing===\"dice-slice\",s=n.pad[a?\"bottom\":\"top\"],l=n.pad[i?\"right\":\"left\"],u=n.pad[i?\"left\":\"right\"],c=n.pad[a?\"top\":\"bottom\"],f;o&&(f=l,l=s,s=f,f=u,u=c,c=f);var h=HA.treemap().tile(rPt(n.packing,n.squarifyratio)).paddingInner(n.pad.inner).paddingLeft(l).paddingRight(u).paddingTop(s).paddingBottom(c).size(o?[r[1],r[0]]:r)(t);return(o||i||a)&&tPt(h,r,{swapXY:o,flipX:i,flipY:a}),h};function rPt(e,t){switch(e){case\"squarify\":return HA.treemapSquarify.ratio(t);case\"binary\":return HA.treemapBinary;case\"dice\":return HA.treemapDice;case\"slice\":return HA.treemapSlice;default:return HA.treemapSliceDice}}});var $D=ye((J0r,oLe)=>{\"use strict\";var iLe=Fa(),jA=ka(),nLe=Pr(),oX=n1(),iPt=bv().resizeText,nPt=ZD();function aPt(e){var 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pX=ye((sgr,DLe)=>{\"use strict\";DLe.exports={iciclecolorway:{valType:\"colorlist\",editType:\"calc\"},extendiciclecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var OLe=ye((lgr,qLe)=>{\"use strict\";var FLe=Pr(),PPt=vX(),IPt=ka(),RPt=Cc().defaults,DPt=i0().handleText,FPt=S_().TEXTPAD,zPt=O2().handleMarkerDefaults,zLe=tc(),qPt=zLe.hasColorscale,OPt=zLe.handleDefaults;qLe.exports=function(t,r,n,i){function a(d,v){return FLe.coerce(t,r,PPt,d,v)}var o=a(\"labels\"),s=a(\"parents\");if(!o||!o.length||!s||!s.length){r.visible=!1;return}var l=a(\"values\");l&&l.length?a(\"branchvalues\"):a(\"count\"),a(\"level\"),a(\"maxdepth\"),a(\"tiling.orientation\"),a(\"tiling.flip\"),a(\"tiling.pad\");var u=a(\"text\");a(\"texttemplate\"),a(\"texttemplatefallback\"),r.texttemplate||a(\"textinfo\",FLe.isArrayOrTypedArray(u)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var 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GLe=ye((fgr,VLe)=>{\"use strict\";var UPt=VE(),VPt=nX();VLe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.orientation===\"h\",s=n.maxDepth,l=r[0],u=r[1];s&&(l=(t.height+1)*r[0]/Math.min(t.height+1,s),u=(t.height+1)*r[1]/Math.min(t.height+1,s));var c=UPt.partition().padding(n.pad.inner).size(o?[r[1],l]:[r[0],u])(t);return(o||i||a)&&VPt(c,r,{swapXY:o,flipX:i,flipY:a}),c}});var yX=ye((hgr,ZLe)=>{\"use strict\";var HLe=Fa(),jLe=ka(),WLe=Pr(),GPt=bv().resizeText,HPt=ZD();function jPt(e){var t=e._fullLayout._iciclelayer.selectAll(\".trace\");GPt(e,t,\"icicle\"),t.each(function(r){var n=HLe.select(this),i=r[0],a=i.trace;n.style(\"opacity\",a.opacity),n.selectAll(\"path.surface\").each(function(o){HLe.select(this).call(XLe,o,a,e)})})}function XLe(e,t,r,n){var 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je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,4,4294967295,0),this[Ue]=je>>>24,this[Ue+1]=je>>>16,this[Ue+2]=je>>>8,this[Ue+3]=je&255,Ue+4},m.prototype.writeIntLE=function(je,Ue,Ae,rt){if(je=+je,Ue=Ue>>>0,!rt){var St=Math.pow(2,8*Ae-1);Be(this,je,Ue,Ae,St-1,-St)}var Tt=0,dt=1,Et=0;for(this[Ue]=je&255;++Tt<Ae&&(dt*=256);)je<0&&Et===0&&this[Ue+Tt-1]!==0&&(Et=1),this[Ue+Tt]=(je/dt>>0)-Et&255;return Ue+Ae},m.prototype.writeIntBE=function(je,Ue,Ae,rt){if(je=+je,Ue=Ue>>>0,!rt){var St=Math.pow(2,8*Ae-1);Be(this,je,Ue,Ae,St-1,-St)}var Tt=Ae-1,dt=1,Et=0;for(this[Ue+Tt]=je&255;--Tt>=0&&(dt*=256);)je<0&&Et===0&&this[Ue+Tt+1]!==0&&(Et=1),this[Ue+Tt]=(je/dt>>0)-Et&255;return Ue+Ae},m.prototype.writeInt8=function(je,Ue,Ae){return je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,1,127,-128),je<0&&(je=255+je+1),this[Ue]=je&255,Ue+1},m.prototype.writeInt16LE=function(je,Ue,Ae){return je=+je,Ue=Ue>>>0,Ae||Be(this,je,Ue,2,32767,-32768),this[Ue]=je&255,this[Ue+1]=je>>>8,Ue+2},m.prototype.writeInt16BE=function(je,Ue,Ae){return 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H,re;this.length>N.length?(H=this,re=N):(H=N,re=this);for(var ae=0;ae<re.length;ae++)this.words[ae]=H.words[ae]^re.words[ae];if(this!==H)for(;ae<H.length;ae++)this.words[ae]=H.words[ae];return this.length=H.length,this.strip()},f.prototype.ixor=function(N){return u((this.negative|N.negative)===0),this.iuxor(N)},f.prototype.xor=function(N){return this.length>N.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var H=Math.ceil(N/26)|0,re=N%26;this._expand(H),re>0&&H--;for(var ae=0;ae<H;ae++)this.words[ae]=~this.words[ae]&67108863;return re>0&&(this.words[ae]=~this.words[ae]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,H){u(typeof N==\"number\"&&N>=0);var re=N/26|0,ae=N%26;return 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N.negative!==0&&this.negative===0?(N.negative=0,H=this.sub(N),N.negative^=1,H):N.negative===0&&this.negative!==0?(this.negative=0,H=N.sub(this),this.negative=1,H):this.length>N.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var H=this.iadd(N);return N.negative=1,H._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var ae,_e;re>0?(ae=this,_e=N):(ae=N,_e=this);for(var Ee=0,Ce=0;Ce<_e.length;Ce++)H=(ae.words[Ce]|0)-(_e.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;for(;Ee!==0&&Ce<ae.length;Ce++)H=(ae.words[Ce]|0)+Ee,Ee=H>>26,this.words[Ce]=H&67108863;if(Ee===0&&Ce<ae.length&&ae!==this)for(;Ce<ae.length;Ce++)this.words[Ce]=ae.words[Ce];return this.length=Math.max(this.length,Ce),ae!==this&&(this.negative=1),this.strip()},f.prototype.sub=function(N){return this.clone().isub(N)};function T(j,N,H){H.negative=N.negative^j.negative;var re=j.length+N.length|0;H.length=re,re=re-1|0;var ae=j.words[0]|0,_e=N.words[0]|0,Ee=ae*_e,Ce=Ee&67108863,ge=Ee/67108864|0;H.words[0]=Ce;for(var ie=1;ie<re;ie++){for(var Se=ge>>>26,ke=ge&67108863,be=Math.min(ie,N.length-1),Be=Math.max(0,ie-j.length+1);Be<=be;Be++){var Le=ie-Be|0;ae=j.words[Le]|0,_e=N.words[Be]|0,Ee=ae*_e+ke,Se+=Ee/67108864|0,ke=Ee&67108863}H.words[ie]=ke|0,ge=Se|0}return ge!==0?H.words[ie]=ge|0:H.length--,H.strip()}var L=function(N,H,re){var ae=N.words,_e=H.words,Ee=re.words,Ce=0,ge,ie,Se,ke=ae[0]|0,be=ke&8191,Be=ke>>>13,Le=ae[1]|0,me=Le&8191,Pe=Le>>>13,ce=ae[2]|0,He=ce&8191,lt=ce>>>13,mt=ae[3]|0,Ht=mt&8191,at=mt>>>13,ct=ae[4]|0,ar=ct&8191,Vt=ct>>>13,rr=ae[5]|0,tt=rr&8191,je=rr>>>13,Ue=ae[6]|0,Ae=Ue&8191,rt=Ue>>>13,St=ae[7]|0,Tt=St&8191,dt=St>>>13,Et=ae[8]|0,pt=Et&8191,jt=Et>>>13,or=ae[9]|0,mr=or&8191,Ar=or>>>13,ei=_e[0]|0,qr=ei&8191,jr=ei>>>13,gt=_e[1]|0,Ge=gt&8191,Je=gt>>>13,We=_e[2]|0,et=We&8191,xt=We>>>13,At=_e[3]|0,Kt=At&8191,Qt=At>>>13,Mr=_e[4]|0,Gr=Mr&8191,Ir=Mr>>>13,Yr=_e[5]|0,_i=Yr&8191,Pi=Yr>>>13,ai=_e[6]|0,mi=ai&8191,un=ai>>>13,Fn=_e[7]|0,An=Fn&8191,Hn=Fn>>>13,Qn=_e[8]|0,Vi=Qn&8191,Jn=Qn>>>13,Yn=_e[9]|0,Gt=Yn&8191,wt=Yn>>>13;re.negative=N.negative^H.negative,re.length=19,ge=Math.imul(be,qr),ie=Math.imul(be,jr),ie=ie+Math.imul(Be,qr)|0,Se=Math.imul(Be,jr);var tr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(tr>>>26)|0,tr&=67108863,ge=Math.imul(me,qr),ie=Math.imul(me,jr),ie=ie+Math.imul(Pe,qr)|0,Se=Math.imul(Pe,jr),ge=ge+Math.imul(be,Ge)|0,ie=ie+Math.imul(be,Je)|0,ie=ie+Math.imul(Be,Ge)|0,Se=Se+Math.imul(Be,Je)|0;var ir=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ir>>>26)|0,ir&=67108863,ge=Math.imul(He,qr),ie=Math.imul(He,jr),ie=ie+Math.imul(lt,qr)|0,Se=Math.imul(lt,jr),ge=ge+Math.imul(me,Ge)|0,ie=ie+Math.imul(me,Je)|0,ie=ie+Math.imul(Pe,Ge)|0,Se=Se+Math.imul(Pe,Je)|0,ge=ge+Math.imul(be,et)|0,ie=ie+Math.imul(be,xt)|0,ie=ie+Math.imul(Be,et)|0,Se=Se+Math.imul(Be,xt)|0;var wr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(wr>>>26)|0,wr&=67108863,ge=Math.imul(Ht,qr),ie=Math.imul(Ht,jr),ie=ie+Math.imul(at,qr)|0,Se=Math.imul(at,jr),ge=ge+Math.imul(He,Ge)|0,ie=ie+Math.imul(He,Je)|0,ie=ie+Math.imul(lt,Ge)|0,Se=Se+Math.imul(lt,Je)|0,ge=ge+Math.imul(me,et)|0,ie=ie+Math.imul(me,xt)|0,ie=ie+Math.imul(Pe,et)|0,Se=Se+Math.imul(Pe,xt)|0,ge=ge+Math.imul(be,Kt)|0,ie=ie+Math.imul(be,Qt)|0,ie=ie+Math.imul(Be,Kt)|0,Se=Se+Math.imul(Be,Qt)|0;var Xr=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xr>>>26)|0,Xr&=67108863,ge=Math.imul(ar,qr),ie=Math.imul(ar,jr),ie=ie+Math.imul(Vt,qr)|0,Se=Math.imul(Vt,jr),ge=ge+Math.imul(Ht,Ge)|0,ie=ie+Math.imul(Ht,Je)|0,ie=ie+Math.imul(at,Ge)|0,Se=Se+Math.imul(at,Je)|0,ge=ge+Math.imul(He,et)|0,ie=ie+Math.imul(He,xt)|0,ie=ie+Math.imul(lt,et)|0,Se=Se+Math.imul(lt,xt)|0,ge=ge+Math.imul(me,Kt)|0,ie=ie+Math.imul(me,Qt)|0,ie=ie+Math.imul(Pe,Kt)|0,Se=Se+Math.imul(Pe,Qt)|0,ge=ge+Math.imul(be,Gr)|0,ie=ie+Math.imul(be,Ir)|0,ie=ie+Math.imul(Be,Gr)|0,Se=Se+Math.imul(Be,Ir)|0;var ti=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ti>>>26)|0,ti&=67108863,ge=Math.imul(tt,qr),ie=Math.imul(tt,jr),ie=ie+Math.imul(je,qr)|0,Se=Math.imul(je,jr),ge=ge+Math.imul(ar,Ge)|0,ie=ie+Math.imul(ar,Je)|0,ie=ie+Math.imul(Vt,Ge)|0,Se=Se+Math.imul(Vt,Je)|0,ge=ge+Math.imul(Ht,et)|0,ie=ie+Math.imul(Ht,xt)|0,ie=ie+Math.imul(at,et)|0,Se=Se+Math.imul(at,xt)|0,ge=ge+Math.imul(He,Kt)|0,ie=ie+Math.imul(He,Qt)|0,ie=ie+Math.imul(lt,Kt)|0,Se=Se+Math.imul(lt,Qt)|0,ge=ge+Math.imul(me,Gr)|0,ie=ie+Math.imul(me,Ir)|0,ie=ie+Math.imul(Pe,Gr)|0,Se=Se+Math.imul(Pe,Ir)|0,ge=ge+Math.imul(be,_i)|0,ie=ie+Math.imul(be,Pi)|0,ie=ie+Math.imul(Be,_i)|0,Se=Se+Math.imul(Be,Pi)|0;var $r=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+($r>>>26)|0,$r&=67108863,ge=Math.imul(Ae,qr),ie=Math.imul(Ae,jr),ie=ie+Math.imul(rt,qr)|0,Se=Math.imul(rt,jr),ge=ge+Math.imul(tt,Ge)|0,ie=ie+Math.imul(tt,Je)|0,ie=ie+Math.imul(je,Ge)|0,Se=Se+Math.imul(je,Je)|0,ge=ge+Math.imul(ar,et)|0,ie=ie+Math.imul(ar,xt)|0,ie=ie+Math.imul(Vt,et)|0,Se=Se+Math.imul(Vt,xt)|0,ge=ge+Math.imul(Ht,Kt)|0,ie=ie+Math.imul(Ht,Qt)|0,ie=ie+Math.imul(at,Kt)|0,Se=Se+Math.imul(at,Qt)|0,ge=ge+Math.imul(He,Gr)|0,ie=ie+Math.imul(He,Ir)|0,ie=ie+Math.imul(lt,Gr)|0,Se=Se+Math.imul(lt,Ir)|0,ge=ge+Math.imul(me,_i)|0,ie=ie+Math.imul(me,Pi)|0,ie=ie+Math.imul(Pe,_i)|0,Se=Se+Math.imul(Pe,Pi)|0,ge=ge+Math.imul(be,mi)|0,ie=ie+Math.imul(be,un)|0,ie=ie+Math.imul(Be,mi)|0,Se=Se+Math.imul(Be,un)|0;var Ri=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ri>>>26)|0,Ri&=67108863,ge=Math.imul(Tt,qr),ie=Math.imul(Tt,jr),ie=ie+Math.imul(dt,qr)|0,Se=Math.imul(dt,jr),ge=ge+Math.imul(Ae,Ge)|0,ie=ie+Math.imul(Ae,Je)|0,ie=ie+Math.imul(rt,Ge)|0,Se=Se+Math.imul(rt,Je)|0,ge=ge+Math.imul(tt,et)|0,ie=ie+Math.imul(tt,xt)|0,ie=ie+Math.imul(je,et)|0,Se=Se+Math.imul(je,xt)|0,ge=ge+Math.imul(ar,Kt)|0,ie=ie+Math.imul(ar,Qt)|0,ie=ie+Math.imul(Vt,Kt)|0,Se=Se+Math.imul(Vt,Qt)|0,ge=ge+Math.imul(Ht,Gr)|0,ie=ie+Math.imul(Ht,Ir)|0,ie=ie+Math.imul(at,Gr)|0,Se=Se+Math.imul(at,Ir)|0,ge=ge+Math.imul(He,_i)|0,ie=ie+Math.imul(He,Pi)|0,ie=ie+Math.imul(lt,_i)|0,Se=Se+Math.imul(lt,Pi)|0,ge=ge+Math.imul(me,mi)|0,ie=ie+Math.imul(me,un)|0,ie=ie+Math.imul(Pe,mi)|0,Se=Se+Math.imul(Pe,un)|0,ge=ge+Math.imul(be,An)|0,ie=ie+Math.imul(be,Hn)|0,ie=ie+Math.imul(Be,An)|0,Se=Se+Math.imul(Be,Hn)|0;var Hi=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Hi>>>26)|0,Hi&=67108863,ge=Math.imul(pt,qr),ie=Math.imul(pt,jr),ie=ie+Math.imul(jt,qr)|0,Se=Math.imul(jt,jr),ge=ge+Math.imul(Tt,Ge)|0,ie=ie+Math.imul(Tt,Je)|0,ie=ie+Math.imul(dt,Ge)|0,Se=Se+Math.imul(dt,Je)|0,ge=ge+Math.imul(Ae,et)|0,ie=ie+Math.imul(Ae,xt)|0,ie=ie+Math.imul(rt,et)|0,Se=Se+Math.imul(rt,xt)|0,ge=ge+Math.imul(tt,Kt)|0,ie=ie+Math.imul(tt,Qt)|0,ie=ie+Math.imul(je,Kt)|0,Se=Se+Math.imul(je,Qt)|0,ge=ge+Math.imul(ar,Gr)|0,ie=ie+Math.imul(ar,Ir)|0,ie=ie+Math.imul(Vt,Gr)|0,Se=Se+Math.imul(Vt,Ir)|0,ge=ge+Math.imul(Ht,_i)|0,ie=ie+Math.imul(Ht,Pi)|0,ie=ie+Math.imul(at,_i)|0,Se=Se+Math.imul(at,Pi)|0,ge=ge+Math.imul(He,mi)|0,ie=ie+Math.imul(He,un)|0,ie=ie+Math.imul(lt,mi)|0,Se=Se+Math.imul(lt,un)|0,ge=ge+Math.imul(me,An)|0,ie=ie+Math.imul(me,Hn)|0,ie=ie+Math.imul(Pe,An)|0,Se=Se+Math.imul(Pe,Hn)|0,ge=ge+Math.imul(be,Vi)|0,ie=ie+Math.imul(be,Jn)|0,ie=ie+Math.imul(Be,Vi)|0,Se=Se+Math.imul(Be,Jn)|0;var en=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(en>>>26)|0,en&=67108863,ge=Math.imul(mr,qr),ie=Math.imul(mr,jr),ie=ie+Math.imul(Ar,qr)|0,Se=Math.imul(Ar,jr),ge=ge+Math.imul(pt,Ge)|0,ie=ie+Math.imul(pt,Je)|0,ie=ie+Math.imul(jt,Ge)|0,Se=Se+Math.imul(jt,Je)|0,ge=ge+Math.imul(Tt,et)|0,ie=ie+Math.imul(Tt,xt)|0,ie=ie+Math.imul(dt,et)|0,Se=Se+Math.imul(dt,xt)|0,ge=ge+Math.imul(Ae,Kt)|0,ie=ie+Math.imul(Ae,Qt)|0,ie=ie+Math.imul(rt,Kt)|0,Se=Se+Math.imul(rt,Qt)|0,ge=ge+Math.imul(tt,Gr)|0,ie=ie+Math.imul(tt,Ir)|0,ie=ie+Math.imul(je,Gr)|0,Se=Se+Math.imul(je,Ir)|0,ge=ge+Math.imul(ar,_i)|0,ie=ie+Math.imul(ar,Pi)|0,ie=ie+Math.imul(Vt,_i)|0,Se=Se+Math.imul(Vt,Pi)|0,ge=ge+Math.imul(Ht,mi)|0,ie=ie+Math.imul(Ht,un)|0,ie=ie+Math.imul(at,mi)|0,Se=Se+Math.imul(at,un)|0,ge=ge+Math.imul(He,An)|0,ie=ie+Math.imul(He,Hn)|0,ie=ie+Math.imul(lt,An)|0,Se=Se+Math.imul(lt,Hn)|0,ge=ge+Math.imul(me,Vi)|0,ie=ie+Math.imul(me,Jn)|0,ie=ie+Math.imul(Pe,Vi)|0,Se=Se+Math.imul(Pe,Jn)|0,ge=ge+Math.imul(be,Gt)|0,ie=ie+Math.imul(be,wt)|0,ie=ie+Math.imul(Be,Gt)|0,Se=Se+Math.imul(Be,wt)|0;var fn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(fn>>>26)|0,fn&=67108863,ge=Math.imul(mr,Ge),ie=Math.imul(mr,Je),ie=ie+Math.imul(Ar,Ge)|0,Se=Math.imul(Ar,Je),ge=ge+Math.imul(pt,et)|0,ie=ie+Math.imul(pt,xt)|0,ie=ie+Math.imul(jt,et)|0,Se=Se+Math.imul(jt,xt)|0,ge=ge+Math.imul(Tt,Kt)|0,ie=ie+Math.imul(Tt,Qt)|0,ie=ie+Math.imul(dt,Kt)|0,Se=Se+Math.imul(dt,Qt)|0,ge=ge+Math.imul(Ae,Gr)|0,ie=ie+Math.imul(Ae,Ir)|0,ie=ie+Math.imul(rt,Gr)|0,Se=Se+Math.imul(rt,Ir)|0,ge=ge+Math.imul(tt,_i)|0,ie=ie+Math.imul(tt,Pi)|0,ie=ie+Math.imul(je,_i)|0,Se=Se+Math.imul(je,Pi)|0,ge=ge+Math.imul(ar,mi)|0,ie=ie+Math.imul(ar,un)|0,ie=ie+Math.imul(Vt,mi)|0,Se=Se+Math.imul(Vt,un)|0,ge=ge+Math.imul(Ht,An)|0,ie=ie+Math.imul(Ht,Hn)|0,ie=ie+Math.imul(at,An)|0,Se=Se+Math.imul(at,Hn)|0,ge=ge+Math.imul(He,Vi)|0,ie=ie+Math.imul(He,Jn)|0,ie=ie+Math.imul(lt,Vi)|0,Se=Se+Math.imul(lt,Jn)|0,ge=ge+Math.imul(me,Gt)|0,ie=ie+Math.imul(me,wt)|0,ie=ie+Math.imul(Pe,Gt)|0,Se=Se+Math.imul(Pe,wt)|0;var yn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(yn>>>26)|0,yn&=67108863,ge=Math.imul(mr,et),ie=Math.imul(mr,xt),ie=ie+Math.imul(Ar,et)|0,Se=Math.imul(Ar,xt),ge=ge+Math.imul(pt,Kt)|0,ie=ie+Math.imul(pt,Qt)|0,ie=ie+Math.imul(jt,Kt)|0,Se=Se+Math.imul(jt,Qt)|0,ge=ge+Math.imul(Tt,Gr)|0,ie=ie+Math.imul(Tt,Ir)|0,ie=ie+Math.imul(dt,Gr)|0,Se=Se+Math.imul(dt,Ir)|0,ge=ge+Math.imul(Ae,_i)|0,ie=ie+Math.imul(Ae,Pi)|0,ie=ie+Math.imul(rt,_i)|0,Se=Se+Math.imul(rt,Pi)|0,ge=ge+Math.imul(tt,mi)|0,ie=ie+Math.imul(tt,un)|0,ie=ie+Math.imul(je,mi)|0,Se=Se+Math.imul(je,un)|0,ge=ge+Math.imul(ar,An)|0,ie=ie+Math.imul(ar,Hn)|0,ie=ie+Math.imul(Vt,An)|0,Se=Se+Math.imul(Vt,Hn)|0,ge=ge+Math.imul(Ht,Vi)|0,ie=ie+Math.imul(Ht,Jn)|0,ie=ie+Math.imul(at,Vi)|0,Se=Se+Math.imul(at,Jn)|0,ge=ge+Math.imul(He,Gt)|0,ie=ie+Math.imul(He,wt)|0,ie=ie+Math.imul(lt,Gt)|0,Se=Se+Math.imul(lt,wt)|0;var Mn=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Mn>>>26)|0,Mn&=67108863,ge=Math.imul(mr,Kt),ie=Math.imul(mr,Qt),ie=ie+Math.imul(Ar,Kt)|0,Se=Math.imul(Ar,Qt),ge=ge+Math.imul(pt,Gr)|0,ie=ie+Math.imul(pt,Ir)|0,ie=ie+Math.imul(jt,Gr)|0,Se=Se+Math.imul(jt,Ir)|0,ge=ge+Math.imul(Tt,_i)|0,ie=ie+Math.imul(Tt,Pi)|0,ie=ie+Math.imul(dt,_i)|0,Se=Se+Math.imul(dt,Pi)|0,ge=ge+Math.imul(Ae,mi)|0,ie=ie+Math.imul(Ae,un)|0,ie=ie+Math.imul(rt,mi)|0,Se=Se+Math.imul(rt,un)|0,ge=ge+Math.imul(tt,An)|0,ie=ie+Math.imul(tt,Hn)|0,ie=ie+Math.imul(je,An)|0,Se=Se+Math.imul(je,Hn)|0,ge=ge+Math.imul(ar,Vi)|0,ie=ie+Math.imul(ar,Jn)|0,ie=ie+Math.imul(Vt,Vi)|0,Se=Se+Math.imul(Vt,Jn)|0,ge=ge+Math.imul(Ht,Gt)|0,ie=ie+Math.imul(Ht,wt)|0,ie=ie+Math.imul(at,Gt)|0,Se=Se+Math.imul(at,wt)|0;var Ba=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Ba>>>26)|0,Ba&=67108863,ge=Math.imul(mr,Gr),ie=Math.imul(mr,Ir),ie=ie+Math.imul(Ar,Gr)|0,Se=Math.imul(Ar,Ir),ge=ge+Math.imul(pt,_i)|0,ie=ie+Math.imul(pt,Pi)|0,ie=ie+Math.imul(jt,_i)|0,Se=Se+Math.imul(jt,Pi)|0,ge=ge+Math.imul(Tt,mi)|0,ie=ie+Math.imul(Tt,un)|0,ie=ie+Math.imul(dt,mi)|0,Se=Se+Math.imul(dt,un)|0,ge=ge+Math.imul(Ae,An)|0,ie=ie+Math.imul(Ae,Hn)|0,ie=ie+Math.imul(rt,An)|0,Se=Se+Math.imul(rt,Hn)|0,ge=ge+Math.imul(tt,Vi)|0,ie=ie+Math.imul(tt,Jn)|0,ie=ie+Math.imul(je,Vi)|0,Se=Se+Math.imul(je,Jn)|0,ge=ge+Math.imul(ar,Gt)|0,ie=ie+Math.imul(ar,wt)|0,ie=ie+Math.imul(Vt,Gt)|0,Se=Se+Math.imul(Vt,wt)|0;var ua=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ua>>>26)|0,ua&=67108863,ge=Math.imul(mr,_i),ie=Math.imul(mr,Pi),ie=ie+Math.imul(Ar,_i)|0,Se=Math.imul(Ar,Pi),ge=ge+Math.imul(pt,mi)|0,ie=ie+Math.imul(pt,un)|0,ie=ie+Math.imul(jt,mi)|0,Se=Se+Math.imul(jt,un)|0,ge=ge+Math.imul(Tt,An)|0,ie=ie+Math.imul(Tt,Hn)|0,ie=ie+Math.imul(dt,An)|0,Se=Se+Math.imul(dt,Hn)|0,ge=ge+Math.imul(Ae,Vi)|0,ie=ie+Math.imul(Ae,Jn)|0,ie=ie+Math.imul(rt,Vi)|0,Se=Se+Math.imul(rt,Jn)|0,ge=ge+Math.imul(tt,Gt)|0,ie=ie+Math.imul(tt,wt)|0,ie=ie+Math.imul(je,Gt)|0,Se=Se+Math.imul(je,wt)|0;var ma=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(ma>>>26)|0,ma&=67108863,ge=Math.imul(mr,mi),ie=Math.imul(mr,un),ie=ie+Math.imul(Ar,mi)|0,Se=Math.imul(Ar,un),ge=ge+Math.imul(pt,An)|0,ie=ie+Math.imul(pt,Hn)|0,ie=ie+Math.imul(jt,An)|0,Se=Se+Math.imul(jt,Hn)|0,ge=ge+Math.imul(Tt,Vi)|0,ie=ie+Math.imul(Tt,Jn)|0,ie=ie+Math.imul(dt,Vi)|0,Se=Se+Math.imul(dt,Jn)|0,ge=ge+Math.imul(Ae,Gt)|0,ie=ie+Math.imul(Ae,wt)|0,ie=ie+Math.imul(rt,Gt)|0,Se=Se+Math.imul(rt,wt)|0;var Wa=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Wa>>>26)|0,Wa&=67108863,ge=Math.imul(mr,An),ie=Math.imul(mr,Hn),ie=ie+Math.imul(Ar,An)|0,Se=Math.imul(Ar,Hn),ge=ge+Math.imul(pt,Vi)|0,ie=ie+Math.imul(pt,Jn)|0,ie=ie+Math.imul(jt,Vi)|0,Se=Se+Math.imul(jt,Jn)|0,ge=ge+Math.imul(Tt,Gt)|0,ie=ie+Math.imul(Tt,wt)|0,ie=ie+Math.imul(dt,Gt)|0,Se=Se+Math.imul(dt,wt)|0;var za=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(za>>>26)|0,za&=67108863,ge=Math.imul(mr,Vi),ie=Math.imul(mr,Jn),ie=ie+Math.imul(Ar,Vi)|0,Se=Math.imul(Ar,Jn),ge=ge+Math.imul(pt,Gt)|0,ie=ie+Math.imul(pt,wt)|0,ie=ie+Math.imul(jt,Gt)|0,Se=Se+Math.imul(jt,wt)|0;var Xo=(Ce+ge|0)+((ie&8191)<<13)|0;Ce=(Se+(ie>>>13)|0)+(Xo>>>26)|0,Xo&=67108863,ge=Math.imul(mr,Gt),ie=Math.imul(mr,wt),ie=ie+Math.imul(Ar,Gt)|0,Se=Math.imul(Ar,wt);var da=(Ce+ge|0)+((ie&8191)<<13)|0;return Ce=(Se+(ie>>>13)|0)+(da>>>26)|0,da&=67108863,Ee[0]=tr,Ee[1]=ir,Ee[2]=wr,Ee[3]=Xr,Ee[4]=ti,Ee[5]=$r,Ee[6]=Ri,Ee[7]=Hi,Ee[8]=en,Ee[9]=fn,Ee[10]=yn,Ee[11]=Mn,Ee[12]=Ba,Ee[13]=ua,Ee[14]=ma,Ee[15]=Wa,Ee[16]=za,Ee[17]=Xo,Ee[18]=da,Ce!==0&&(Ee[19]=Ce,re.length++),re};Math.imul||(L=T);function x(j,N,H){H.negative=N.negative^j.negative,H.length=j.length+N.length;for(var re=0,ae=0,_e=0;_e<H.length-1;_e++){var Ee=ae;ae=0;for(var Ce=re&67108863,ge=Math.min(_e,N.length-1),ie=Math.max(0,_e-j.length+1);ie<=ge;ie++){var Se=_e-ie,ke=j.words[Se]|0,be=N.words[ie]|0,Be=ke*be,Le=Be&67108863;Ee=Ee+(Be/67108864|0)|0,Le=Le+Ce|0,Ce=Le&67108863,Ee=Ee+(Le>>>26)|0,ae+=Ee>>>26,Ee&=67108863}H.words[_e]=Ce,re=Ee,Ee=ae}return re!==0?H.words[_e]=re:H.length--,H.strip()}function C(j,N,H){var re=new S;return re.mulp(j,N,H)}f.prototype.mulTo=function(N,H){var re,ae=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,H):ae<63?re=T(this,N,H):ae<1024?re=x(this,N,H):re=C(this,N,H),re};function S(j,N){this.x=j,this.y=N}S.prototype.makeRBT=function(N){for(var H=new Array(N),re=f.prototype._countBits(N)-1,ae=0;ae<N;ae++)H[ae]=this.revBin(ae,re,N);return H},S.prototype.revBin=function(N,H,re){if(N===0||N===re-1)return N;for(var ae=0,_e=0;_e<H;_e++)ae|=(N&1)<<H-_e-1,N>>=1;return ae},S.prototype.permute=function(N,H,re,ae,_e,Ee){for(var Ce=0;Ce<Ee;Ce++)ae[Ce]=H[N[Ce]],_e[Ce]=re[N[Ce]]},S.prototype.transform=function(N,H,re,ae,_e,Ee){this.permute(Ee,N,H,re,ae,_e);for(var Ce=1;Ce<_e;Ce<<=1)for(var ge=Ce<<1,ie=Math.cos(2*Math.PI/ge),Se=Math.sin(2*Math.PI/ge),ke=0;ke<_e;ke+=ge)for(var be=ie,Be=Se,Le=0;Le<Ce;Le++){var me=re[ke+Le],Pe=ae[ke+Le],ce=re[ke+Le+Ce],He=ae[ke+Le+Ce],lt=be*ce-Be*He;He=be*He+Be*ce,ce=lt,re[ke+Le]=me+ce,ae[ke+Le]=Pe+He,re[ke+Le+Ce]=me-ce,ae[ke+Le+Ce]=Pe-He,Le!==ge&&(lt=ie*be-Se*Be,Be=ie*Be+Se*be,be=lt)}},S.prototype.guessLen13b=function(N,H){var re=Math.max(H,N)|1,ae=re&1,_e=0;for(re=re/2|0;re;re=re>>>1)_e++;return 1<<_e+1+ae},S.prototype.conjugate=function(N,H,re){if(!(re<=1))for(var ae=0;ae<re/2;ae++){var _e=N[ae];N[ae]=N[re-ae-1],N[re-ae-1]=_e,_e=H[ae],H[ae]=-H[re-ae-1],H[re-ae-1]=-_e}},S.prototype.normalize13b=function(N,H){for(var re=0,ae=0;ae<H/2;ae++){var _e=Math.round(N[2*ae+1]/H)*8192+Math.round(N[2*ae]/H)+re;N[ae]=_e&67108863,_e<67108864?re=0:re=_e/67108864|0}return N},S.prototype.convert13b=function(N,H,re,ae){for(var _e=0,Ee=0;Ee<H;Ee++)_e=_e+(N[Ee]|0),re[2*Ee]=_e&8191,_e=_e>>>13,re[2*Ee+1]=_e&8191,_e=_e>>>13;for(Ee=2*H;Ee<ae;++Ee)re[Ee]=0;u(_e===0),u((_e&-8192)===0)},S.prototype.stub=function(N){for(var H=new Array(N),re=0;re<N;re++)H[re]=0;return H},S.prototype.mulp=function(N,H,re){var ae=2*this.guessLen13b(N.length,H.length),_e=this.makeRBT(ae),Ee=this.stub(ae),Ce=new Array(ae),ge=new Array(ae),ie=new Array(ae),Se=new Array(ae),ke=new Array(ae),be=new Array(ae),Be=re.words;Be.length=ae,this.convert13b(N.words,N.length,Ce,ae),this.convert13b(H.words,H.length,Se,ae),this.transform(Ce,Ee,ge,ie,ae,_e),this.transform(Se,Ee,ke,be,ae,_e);for(var Le=0;Le<ae;Le++){var me=ge[Le]*ke[Le]-ie[Le]*be[Le];ie[Le]=ge[Le]*be[Le]+ie[Le]*ke[Le],ge[Le]=me}return this.conjugate(ge,ie,ae),this.transform(ge,ie,Be,Ee,ae,_e),this.conjugate(Be,Ee,ae),this.normalize13b(Be,ae),re.negative=N.negative^H.negative,re.length=N.length+H.length,re.strip()},f.prototype.mul=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),this.mulTo(N,H)},f.prototype.mulf=function(N){var H=new f(null);return H.words=new Array(this.length+N.length),C(this,N,H)},f.prototype.imul=function(N){return this.clone().mulTo(N,this)},f.prototype.imuln=function(N){u(typeof N==\"number\"),u(N<67108864);for(var H=0,re=0;re<this.length;re++){var ae=(this.words[re]|0)*N,_e=(ae&67108863)+(H&67108863);H>>=26,H+=ae/67108864|0,H+=_e>>>26,this.words[re]=_e&67108863}return H!==0&&(this.words[re]=H,this.length++),this.length=N===0?1:this.length,this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var H=M(N);if(H.length===0)return new f(1);for(var re=this,ae=0;ae<H.length&&H[ae]===0;ae++,re=re.sqr());if(++ae<H.length)for(var _e=re.sqr();ae<H.length;ae++,_e=_e.sqr())H[ae]!==0&&(re=re.mul(_e));return re},f.prototype.iushln=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26,ae=67108863>>>26-H<<26-H,_e;if(H!==0){var Ee=0;for(_e=0;_e<this.length;_e++){var Ce=this.words[_e]&ae,ge=(this.words[_e]|0)-Ce<<H;this.words[_e]=ge|Ee,Ee=Ce>>>26-H}Ee&&(this.words[_e]=Ee,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e<re;_e++)this.words[_e]=0;this.length+=re}return this.strip()},f.prototype.ishln=function(N){return u(this.negative===0),this.iushln(N)},f.prototype.iushrn=function(N,H,re){u(typeof N==\"number\"&&N>=0);var ae;H?ae=(H-H%26)/26:ae=0;var _e=N%26,Ee=Math.min((N-_e)/26,this.length),Ce=67108863^67108863>>>_e<<_e,ge=re;if(ae-=Ee,ae=Math.max(0,ae),ge){for(var ie=0;ie<Ee;ie++)ge.words[ie]=this.words[ie];ge.length=Ee}if(Ee!==0)if(this.length>Ee)for(this.length-=Ee,ie=0;ie<this.length;ie++)this.words[ie]=this.words[ie+Ee];else this.words[0]=0,this.length=1;var Se=0;for(ie=this.length-1;ie>=0&&(Se!==0||ie>=ae);ie--){var ke=this.words[ie]|0;this.words[ie]=Se<<26-_e|ke>>>_e,Se=ke&Ce}return ge&&Se!==0&&(ge.words[ge.length++]=Se),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,H,re){return u(this.negative===0),this.iushrn(N,H,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26,ae=1<<H;if(this.length<=re)return!1;var _e=this.words[re];return!!(_e&ae)},f.prototype.imaskn=function(N){u(typeof N==\"number\"&&N>=0);var H=N%26,re=(N-H)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(H!==0&&re++,this.length=Math.min(re,this.length),H!==0){var ae=67108863^67108863>>>H<<H;this.words[this.length-1]&=ae}return this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.maskn=function(N){return this.clone().imaskn(N)},f.prototype.iaddn=function(N){return u(typeof N==\"number\"),u(N<67108864),N<0?this.isubn(-N):this.negative!==0?this.length===1&&(this.words[0]|0)<N?(this.words[0]=N-(this.words[0]|0),this.negative=0,this):(this.negative=0,this.isubn(N),this.negative=1,this):this._iaddn(N)},f.prototype._iaddn=function(N){this.words[0]+=N;for(var H=0;H<this.length&&this.words[H]>=67108864;H++)this.words[H]-=67108864,H===this.length-1?this.words[H+1]=1:this.words[H+1]++;return this.length=Math.max(this.length,H+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var H=0;H<this.length&&this.words[H]<0;H++)this.words[H]+=67108864,this.words[H+1]-=1;return this.strip()},f.prototype.addn=function(N){return this.clone().iaddn(N)},f.prototype.subn=function(N){return this.clone().isubn(N)},f.prototype.iabs=function(){return this.negative=0,this},f.prototype.abs=function(){return this.clone().iabs()},f.prototype._ishlnsubmul=function(N,H,re){var ae=N.length+re,_e;this._expand(ae);var Ee,Ce=0;for(_e=0;_e<N.length;_e++){Ee=(this.words[_e+re]|0)+Ce;var ge=(N.words[_e]|0)*H;Ee-=ge&67108863,Ce=(Ee>>26)-(ge/67108864|0),this.words[_e+re]=Ee&67108863}for(;_e<this.length-re;_e++)Ee=(this.words[_e+re]|0)+Ce,Ce=Ee>>26,this.words[_e+re]=Ee&67108863;if(Ce===0)return this.strip();for(u(Ce===-1),Ce=0,_e=0;_e<this.length;_e++)Ee=-(this.words[_e]|0)+Ce,Ce=Ee>>26,this.words[_e]=Ee&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,H){var re=this.length-N.length,ae=this.clone(),_e=N,Ee=_e.words[_e.length-1]|0,Ce=this._countBits(Ee);re=26-Ce,re!==0&&(_e=_e.ushln(re),ae.iushln(re),Ee=_e.words[_e.length-1]|0);var ge=ae.length-_e.length,ie;if(H!==\"mod\"){ie=new f(null),ie.length=ge+1,ie.words=new Array(ie.length);for(var Se=0;Se<ie.length;Se++)ie.words[Se]=0}var ke=ae.clone()._ishlnsubmul(_e,1,ge);ke.negative===0&&(ae=ke,ie&&(ie.words[ge]=1));for(var be=ge-1;be>=0;be--){var Be=(ae.words[_e.length+be]|0)*67108864+(ae.words[_e.length+be-1]|0);for(Be=Math.min(Be/Ee|0,67108863),ae._ishlnsubmul(_e,Be,be);ae.negative!==0;)Be--,ae.negative=0,ae._ishlnsubmul(_e,1,be),ae.isZero()||(ae.negative^=1);ie&&(ie.words[be]=Be)}return ie&&ie.strip(),ae.strip(),H!==\"div\"&&re!==0&&ae.iushrn(re),{div:ie||null,mod:ae}},f.prototype.divmod=function(N,H,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var ae,_e,Ee;return this.negative!==0&&N.negative===0?(Ee=this.neg().divmod(N,H),H!==\"mod\"&&(ae=Ee.div.neg()),H!==\"div\"&&(_e=Ee.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:ae,mod:_e}):this.negative===0&&N.negative!==0?(Ee=this.divmod(N.neg(),H),H!==\"mod\"&&(ae=Ee.div.neg()),{div:ae,mod:Ee.mod}):(this.negative&N.negative)!==0?(Ee=this.neg().divmod(N.neg(),H),H!==\"div\"&&(_e=Ee.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Ee.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?H===\"div\"?{div:this.divn(N.words[0]),mod:null}:H===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,H)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var H=this.divmod(N);if(H.mod.isZero())return H.div;var re=H.div.negative!==0?H.mod.isub(N):H.mod,ae=N.ushrn(1),_e=N.andln(1),Ee=re.cmp(ae);return Ee<0||_e===1&&Ee===0?H.div:H.div.negative!==0?H.div.isubn(1):H.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var H=(1<<26)%N,re=0,ae=this.length-1;ae>=0;ae--)re=(H*re+(this.words[ae]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var H=0,re=this.length-1;re>=0;re--){var ae=(this.words[re]|0)+H*67108864;this.words[re]=ae/N|0,H=ae%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var H=this,re=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var ae=new f(1),_e=new f(0),Ee=new f(0),Ce=new f(1),ge=0;H.isEven()&&re.isEven();)H.iushrn(1),re.iushrn(1),++ge;for(var ie=re.clone(),Se=H.clone();!H.isZero();){for(var ke=0,be=1;(H.words[0]&be)===0&&ke<26;++ke,be<<=1);if(ke>0)for(H.iushrn(ke);ke-- >0;)(ae.isOdd()||_e.isOdd())&&(ae.iadd(ie),_e.isub(Se)),ae.iushrn(1),_e.iushrn(1);for(var Be=0,Le=1;(re.words[0]&Le)===0&&Be<26;++Be,Le<<=1);if(Be>0)for(re.iushrn(Be);Be-- >0;)(Ee.isOdd()||Ce.isOdd())&&(Ee.iadd(ie),Ce.isub(Se)),Ee.iushrn(1),Ce.iushrn(1);H.cmp(re)>=0?(H.isub(re),ae.isub(Ee),_e.isub(Ce)):(re.isub(H),Ee.isub(ae),Ce.isub(_e))}return{a:Ee,b:Ce,gcd:re.iushln(ge)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var H=this,re=N.clone();H.negative!==0?H=H.umod(N):H=H.clone();for(var ae=new f(1),_e=new f(0),Ee=re.clone();H.cmpn(1)>0&&re.cmpn(1)>0;){for(var Ce=0,ge=1;(H.words[0]&ge)===0&&Ce<26;++Ce,ge<<=1);if(Ce>0)for(H.iushrn(Ce);Ce-- >0;)ae.isOdd()&&ae.iadd(Ee),ae.iushrn(1);for(var ie=0,Se=1;(re.words[0]&Se)===0&&ie<26;++ie,Se<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Ee),_e.iushrn(1);H.cmp(re)>=0?(H.isub(re),ae.isub(_e)):(re.isub(H),_e.isub(ae))}var ke;return H.cmpn(1)===0?ke=ae:ke=_e,ke.cmpn(0)<0&&ke.iadd(N),ke},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var H=this.clone(),re=N.clone();H.negative=0,re.negative=0;for(var ae=0;H.isEven()&&re.isEven();ae++)H.iushrn(1),re.iushrn(1);do{for(;H.isEven();)H.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=H.cmp(re);if(_e<0){var Ee=H;H=re,re=Ee}else if(_e===0||re.cmpn(1)===0)break;H.isub(re)}while(!0);return re.iushln(ae)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var H=N%26,re=(N-H)/26,ae=1<<H;if(this.length<=re)return this._expand(re+1),this.words[re]|=ae,this;for(var _e=ae,Ee=re;_e!==0&&Ee<this.length;Ee++){var Ce=this.words[Ee]|0;Ce+=_e,_e=Ce>>>26,Ce&=67108863,this.words[Ee]=Ce}return _e!==0&&(this.words[Ee]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var H=N<0;if(this.negative!==0&&!H)return-1;if(this.negative===0&&H)return 1;this.strip();var re;if(this.length>1)re=1;else{H&&(N=-N),u(N<=67108863,\"Number is too big\");var ae=this.words[0]|0;re=ae===N?0:ae<N?-1:1}return this.negative!==0?-re|0:re},f.prototype.cmp=function(N){if(this.negative!==0&&N.negative===0)return-1;if(this.negative===0&&N.negative!==0)return 1;var H=this.ucmp(N);return this.negative!==0?-H|0:H},f.prototype.ucmp=function(N){if(this.length>N.length)return 1;if(this.length<N.length)return-1;for(var H=0,re=this.length-1;re>=0;re--){var ae=this.words[re]|0,_e=N.words[re]|0;if(ae!==_e){ae<_e?H=-1:ae>_e&&(H=1);break}}return H},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new G(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},f.prototype.redPow=function(N){return u(this.red&&!N.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,N)};var g={k256:null,p224:null,p192:null,p25519:null};function P(j,N){this.name=j,this.p=new f(N,16),this.n=this.p.bitLength(),this.k=new f(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}P.prototype._tmp=function(){var N=new f(null);return N.words=new Array(Math.ceil(this.n/13)),N},P.prototype.ireduce=function(N){var H=N,re;do this.split(H,this.tmp),H=this.imulK(H),H=H.iadd(this.tmp),re=H.bitLength();while(re>this.n);var ae=re<this.n?-1:H.ucmp(this.p);return ae===0?(H.words[0]=0,H.length=1):ae>0?H.isub(this.p):H.strip!==void 0?H.strip():H._strip(),H},P.prototype.split=function(N,H){N.iushrn(this.n,0,H)},P.prototype.imulK=function(N){return N.imul(this.k)};function E(){P.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}c(E,P),E.prototype.split=function(N,H){for(var re=4194303,ae=Math.min(N.length,9),_e=0;_e<ae;_e++)H.words[_e]=N.words[_e];if(H.length=ae,N.length<=9){N.words[0]=0,N.length=1;return}var Ee=N.words[9];for(H.words[H.length++]=Ee&re,_e=10;_e<N.length;_e++){var Ce=N.words[_e]|0;N.words[_e-10]=(Ce&re)<<4|Ee>>>22,Ee=Ce}Ee>>>=22,N.words[_e-10]=Ee,Ee===0&&N.length>10?N.length-=10:N.length-=9},E.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var H=0,re=0;re<N.length;re++){var ae=N.words[re]|0;H+=ae*977,N.words[re]=H&67108863,H=ae*64+(H/67108864|0)}return N.words[N.length-1]===0&&(N.length--,N.words[N.length-1]===0&&N.length--),N};function z(){P.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}c(z,P);function q(){P.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}c(q,P);function V(){P.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}c(V,P),V.prototype.imulK=function(N){for(var H=0,re=0;re<N.length;re++){var ae=(N.words[re]|0)*19+H,_e=ae&67108863;ae>>>=26,N.words[re]=_e,H=ae}return H!==0&&(N.words[N.length++]=H),N},f._prime=function(N){if(g[N])return g[N];var H;if(N===\"k256\")H=new E;else if(N===\"p224\")H=new z;else if(N===\"p192\")H=new q;else if(N===\"p25519\")H=new V;else throw new Error(\"Unknown prime \"+N);return g[N]=H,H};function G(j){if(typeof j==\"string\"){var N=f._prime(j);this.m=N.p,this.prime=N}else u(j.gtn(1),\"modulus must be greater than 1\"),this.m=j,this.prime=null}G.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red 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H.negative!==0?(H.negative=0,this.imod(H).redNeg()):this.imod(H)},G.prototype.pow=function(N,H){if(H.isZero())return new f(1).toRed(this);if(H.cmpn(1)===0)return N.clone();var re=4,ae=new Array(1<<re);ae[0]=new f(1).toRed(this),ae[1]=N;for(var _e=2;_e<ae.length;_e++)ae[_e]=this.mul(ae[_e-1],N);var Ee=ae[0],Ce=0,ge=0,ie=H.bitLength()%26;for(ie===0&&(ie=26),_e=H.length-1;_e>=0;_e--){for(var Se=H.words[_e],ke=ie-1;ke>=0;ke--){var be=Se>>ke&1;if(Ee!==ae[0]&&(Ee=this.sqr(Ee)),be===0&&Ce===0){ge=0;continue}Ce<<=1,Ce|=be,ge++,!(ge!==re&&(_e!==0||ke!==0))&&(Ee=this.mul(Ee,ae[Ce]),ge=0,Ce=0)}ie=26}return Ee},G.prototype.convertTo=function(N){var H=N.umod(this.m);return H===N?H.clone():H},G.prototype.convertFrom=function(N){var H=N.clone();return H.red=null,H},f.mont=function(N){return new Z(N)};function Z(j){G.call(this,j),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new f(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}c(Z,G),Z.prototype.convertTo=function(N){return this.imod(N.ushln(this.shift))},Z.prototype.convertFrom=function(N){var H=this.imod(N.mul(this.rinv));return H.red=null,H},Z.prototype.imul=function(N,H){if(N.isZero()||H.isZero())return N.words[0]=0,N.length=1,N;var re=N.imul(H),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Ee=_e;return _e.cmp(this.m)>=0?Ee=_e.isub(this.m):_e.cmpn(0)<0&&(Ee=_e.iadd(this.m)),Ee._forceRed(this)},Z.prototype.mul=function(N,H){if(N.isZero()||H.isZero())return new f(0)._forceRed(this);var re=N.mul(H),ae=re.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),_e=re.isub(ae).iushrn(this.shift),Ee=_e;return 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ct}}}function Z(N,H,re,ae,_e,Ee,Ce,ge,ie,Se){var ke=2*N,be=ge*ke,Be=ie[be+H];e:for(var Le=ae,me=ae*ke;Le<_e;++Le,me+=ke){var Pe=Ce[Le];if(Pe!==Se){var ce=Ee[me+H],He=Ee[me+H+N];if(!(Be<ce||He<Be)){for(var lt=H+1;lt<N;++lt){var ce=Ee[me+lt],He=Ee[me+lt+N],mt=ie[be+lt],Ht=ie[be+lt+N];if(He<mt||Ht<ce)continue e}var at=re(Pe,Se);if(at!==void 0)return at}}}}function j(N,H,re,ae,_e,Ee,Ce,ge,ie){q(N,ae+Ce);var Se=0,ke=2*N,be;for(V(Se++,0,0,ae,0,Ce,re?16:0,-1/0,1/0),re||V(Se++,0,0,Ce,0,ae,1,-1/0,1/0);Se>0;){Se-=1;var Be=Se*S,Le=E[Be],me=E[Be+1],Pe=E[Be+2],ce=E[Be+3],He=E[Be+4],lt=E[Be+5],mt=Se*g,Ht=z[mt],at=z[mt+1],ct=lt&1,ar=!!(lt&16),Vt=_e,rr=Ee,tt=ge,je=ie;if(ct&&(Vt=ge,rr=ie,tt=_e,je=Ee),!(lt&2&&(Pe=T(N,Le,me,Pe,Vt,rr,at),me>=Pe))&&!(lt&4&&(me=L(N,Le,me,Pe,Vt,rr,Ht),me>=Pe))){var Ue=Pe-me,Ae=He-ce;if(ar){if(N*Ue*(Ue+Ae)<p){if(be=h.scanComplete(N,Le,H,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}}else if(N*Math.min(Ue,Ae)<m){if(be=c(N,Le,H,ct,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}else if(N*Ue*Ae<b){if(be=h.scanBipartite(N,Le,H,ct,me,Pe,Vt,rr,ce,He,tt,je),be!==void 0)return be;continue}var rt=k(N,Le,me,Pe,Vt,rr,Ht,at);if(me<rt)if(N*(rt-me)<m){if(be=f(N,Le+1,H,me,rt,Vt,rr,ce,He,tt,je),be!==void 0)return be}else if(Le===N-2){if(ct?be=h.sweepBipartite(N,H,ce,He,tt,je,me,rt,Vt,rr):be=h.sweepBipartite(N,H,me,rt,Vt,rr,ce,He,tt,je),be!==void 0)return be}else V(Se++,Le+1,me,rt,ce,He,ct,-1/0,1/0),V(Se++,Le+1,ce,He,me,rt,ct^1,-1/0,1/0);if(rt<Pe){var St=d(N,Le,ce,He,tt,je),Tt=tt[ke*St+Le],dt=M(N,Le,St,He,tt,je,Tt);if(dt<He&&V(Se++,Le,rt,Pe,dt,He,(ct|4)+(ar?16:0),Tt,at),ce<St&&V(Se++,Le,rt,Pe,ce,St,(ct|2)+(ar?16:0),Ht,Tt),St+1===dt){if(ar?be=Z(N,Le,H,rt,Pe,Vt,rr,St,tt,je[St]):be=G(N,Le,H,ct,rt,Pe,Vt,rr,St,tt,je[St]),be!==void 0)return be}else if(St<dt){var Et;if(ar){if(Et=x(N,Le,rt,Pe,Vt,rr,Tt),rt<Et){var pt=M(N,Le,rt,Et,Vt,rr,Tt);if(Le===N-2){if(rt<pt&&(be=h.sweepComplete(N,H,rt,pt,Vt,rr,St,dt,tt,je),be!==void 0)||pt<Et&&(be=h.sweepBipartite(N,H,pt,Et,Vt,rr,St,dt,tt,je),be!==void 0))return be}else rt<pt&&V(Se++,Le+1,rt,pt,St,dt,16,-1/0,1/0),pt<Et&&(V(Se++,Le+1,pt,Et,St,dt,0,-1/0,1/0),V(Se++,Le+1,St,dt,pt,Et,1,-1/0,1/0))}}else ct?Et=C(N,Le,rt,Pe,Vt,rr,Tt):Et=x(N,Le,rt,Pe,Vt,rr,Tt),rt<Et&&(Le===N-2?ct?be=h.sweepBipartite(N,H,St,dt,tt,je,rt,Et,Vt,rr):be=h.sweepBipartite(N,H,rt,Et,Vt,rr,St,dt,tt,je):(V(Se++,Le+1,rt,Et,St,dt,ct,-1/0,1/0),V(Se++,Le+1,St,dt,rt,Et,ct^1,-1/0,1/0)))}}}}}}),3545:(function(i,a,o){\"use strict\";i.exports=f;var s=o(8105),l=s(\"lo<p0\"),u=8;function c(h,d,v,m,b,p){for(var k=2*h,M=k*(v+1)+d,T=v+1;T<m;++T,M+=k)for(var L=b[M],x=T,C=k*(T-1);x>v&&b[C+d]>L;--x,C-=k){for(var S=C,g=C+k,P=0;P<k;++P,++S,++g){var E=b[S];b[S]=b[g],b[g]=E}var z=p[x];p[x]=p[x-1],p[x-1]=z}}function f(h,d,v,m,b,p){if(m<=v+1)return v;for(var k=v,M=m,T=m+v>>>1,L=2*h,x=T,C=b[L*T+d];k<M;){if(M-k<u){c(h,d,k,M,b,p),C=b[L*T+d];break}var S=M-k,g=Math.random()*S+k|0,P=b[L*g+d],E=Math.random()*S+k|0,z=b[L*E+d],q=Math.random()*S+k|0,V=b[L*q+d];P<=z?V>=z?(x=E,C=z):P>=V?(x=g,C=P):(x=q,C=V):z>=V?(x=E,C=z):V>=P?(x=g,C=P):(x=q,C=V);for(var j=L*(M-1),N=L*x,G=0;G<L;++G,++j,++N){var Z=b[j];b[j]=b[N],b[N]=Z}var H=p[M-1];p[M-1]=p[x],p[x]=H,x=l(h,d,k,M-1,b,p,C);for(var j=L*(M-1),N=L*x,G=0;G<L;++G,++j,++N){var Z=b[j];b[j]=b[N],b[N]=Z}var H=p[M-1];if(p[M-1]=p[x],p[x]=H,T<x){for(M=x-1;k<M&&b[L*(M-1)+d]===C;)M-=1;M+=1}else if(x<T)for(k=x+1;k<M&&b[L*k+d]===C;)k+=1;else break}return l(h,d,v,T,b,p,b[L*T+d])}}),8105:(function(i){\"use strict\";i.exports=o;var a={\"lo===p0\":s,\"lo<p0\":l,\"lo<=p0\":u,\"hi<=p0\":c,\"lo<p0&&p0<=hi\":h,\"lo<=p0&&p0<=hi\":f,\"!(lo>=p0)&&!(p1>=hi)\":d};function o(v){return a[v]}function s(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g];if(z===T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function l(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g];if(z<T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function u(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+P];if(z<=T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function c(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+P];if(z<=T)if(S===E)S+=1,C+=L;else{for(var q=0;L>q;++q){var V=k[x+q];k[x+q]=k[C],k[C++]=V}var G=M[E];M[E]=M[S],M[S++]=G}}return S}function f(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g],q=k[x+P];if(z<=T&&T<=q)if(S===E)S+=1,C+=L;else{for(var V=0;L>V;++V){var G=k[x+V];k[x+V]=k[C],k[C++]=G}var Z=M[E];M[E]=M[S],M[S++]=Z}}return S}function h(v,m,b,p,k,M,T){for(var L=2*v,x=L*b,C=x,S=b,g=m,P=v+m,E=b;p>E;++E,x+=L){var z=k[x+g],q=k[x+P];if(z<T&&T<=q)if(S===E)S+=1,C+=L;else{for(var V=0;L>V;++V){var G=k[x+V];k[x+V]=k[C],k[C++]=G}var Z=M[E];M[E]=M[S],M[S++]=Z}}return S}function d(v,m,b,p,k,M,T,L){for(var x=2*v,C=x*b,S=C,g=b,P=m,E=v+m,z=b;p>z;++z,C+=x){var q=k[C+P],V=k[C+E];if(!(q>=T)&&!(L>=V))if(g===z)g+=1,S+=x;else{for(var G=0;x>G;++G){var Z=k[C+G];k[C+G]=k[S],k[S++]=Z}var j=M[z];M[z]=M[g],M[g++]=j}}return g}}),4192:(function(i){\"use strict\";i.exports=o;var a=32;function o(m,b){b<=4*a?s(0,b-1,m):v(0,b-1,m)}function s(m,b,p){for(var k=2*(m+1),M=m+1;M<=b;++M){for(var T=p[k++],L=p[k++],x=M,C=k-2;x-- >m;){var S=p[C-2],g=p[C-1];if(S<T)break;if(S===T&&g<L)break;p[C]=S,p[C+1]=g,C-=2}p[C]=T,p[C+1]=L}}function l(m,b,p){m*=2,b*=2;var k=p[m],M=p[m+1];p[m]=p[b],p[m+1]=p[b+1],p[b]=k,p[b+1]=M}function u(m,b,p){m*=2,b*=2,p[m]=p[b],p[m+1]=p[b+1]}function c(m,b,p,k){m*=2,b*=2,p*=2;var M=k[m],T=k[m+1];k[m]=k[b],k[m+1]=k[b+1],k[b]=k[p],k[b+1]=k[p+1],k[p]=M,k[p+1]=T}function f(m,b,p,k,M){m*=2,b*=2,M[m]=M[b],M[b]=p,M[m+1]=M[b+1],M[b+1]=k}function h(m,b,p){m*=2,b*=2;var k=p[m],M=p[b];return k<M?!1:k===M?p[m+1]>p[b+1]:!0}function d(m,b,p,k){m*=2;var M=k[m];return M<b?!0:M===b?k[m+1]<p:!1}function v(m,b,p){var k=(b-m+1)/6|0,M=m+k,T=b-k,L=m+b>>1,x=L-k,C=L+k,S=M,g=x,P=L,E=C,z=T,q=m+1,V=b-1,G=0;h(S,g,p)&&(G=S,S=g,g=G),h(E,z,p)&&(G=E,E=z,z=G),h(S,P,p)&&(G=S,S=P,P=G),h(g,P,p)&&(G=g,g=P,P=G),h(S,E,p)&&(G=S,S=E,E=G),h(P,E,p)&&(G=P,P=E,E=G),h(g,z,p)&&(G=g,g=z,z=G),h(g,P,p)&&(G=g,g=P,P=G),h(E,z,p)&&(G=E,E=z,z=G);for(var Z=p[2*g],j=p[2*g+1],N=p[2*E],H=p[2*E+1],re=2*S,ae=2*P,_e=2*z,Ee=2*M,Ce=2*L,ge=2*T,ie=0;ie<2;++ie){var Se=p[re+ie],ke=p[ae+ie],be=p[_e+ie];p[Ee+ie]=Se,p[Ce+ie]=ke,p[ge+ie]=be}u(x,m,p),u(C,b,p);for(var Be=q;Be<=V;++Be)if(d(Be,Z,j,p))Be!==q&&l(Be,q,p),++q;else 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T(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new T,new T,new T];function x(V,G,Z,j,N){for(var H=V.primalOffset,re=V.primalMinor,ae=V.mirrorOffset,_e=V.mirrorMinor,Ee=j[G],Ce=0;Ce<3;++Ce)if(G!==Ce){var ge=H,ie=ae,Se=re,ke=_e;Ee&1<<Ce&&(ge=ae,ie=H,Se=_e,ke=re),ge[Ce]=Z[0][Ce],ie[Ce]=Z[1][Ce],N[Ce]>0?(Se[Ce]=-1,ke[Ce]=0):(Se[Ce]=0,ke[Ce]=1)}}var C=[0,0,0],S={model:h,view:h,projection:h,_ortho:!1};M.isOpaque=function(){return!0},M.isTransparent=function(){return!1},M.drawTransparent=function(V){};var g=0,P=[0,0,0],E=[0,0,0],z=[0,0,0];M.draw=function(V){V=V||S;for(var Le=this.gl,G=V.model||h,Z=V.view||h,j=V.projection||h,N=this.bounds,H=V._ortho||!1,re=c(G,Z,j,N,H),ae=re.cubeEdges,_e=re.axis,Ee=Z[12],Ce=Z[13],ge=Z[14],ie=Z[15],Se=H?2:1,ke=Se*this.pixelRatio*(j[3]*Ee+j[7]*Ce+j[11]*ge+j[15]*ie)/Le.drawingBufferHeight,be=0;be<3;++be)this.lastCubeProps.cubeEdges[be]=ae[be],this.lastCubeProps.axis[be]=_e[be];for(var Be=L,be=0;be<3;++be)x(L[be],be,this.bounds,ae,_e);for(var Le=this.gl,me=C,be=0;be<3;++be)this.backgroundEnable[be]?me[be]=_e[be]:me[be]=0;this._background.draw(G,Z,j,N,me,this.backgroundColor),this._lines.bind(G,Z,j,this);for(var be=0;be<3;++be){var Pe=[0,0,0];_e[be]>0?Pe[be]=N[1][be]:Pe[be]=N[0][be];for(var ce=0;ce<2;++ce){var He=(be+1+ce)%3,lt=(be+1+(ce^1))%3;this.gridEnable[He]&&this._lines.drawGrid(He,lt,this.bounds,Pe,this.gridColor[He],this.gridWidth[He]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var He=(be+1+ce)%3,lt=(be+1+(ce^1))%3;this.zeroEnable[lt]&&Math.min(N[0][lt],N[1][lt])<=0&&Math.max(N[0][lt],N[1][lt])>=0&&this._lines.drawZero(He,lt,this.bounds,Pe,this.zeroLineColor[lt],this.zeroLineWidth[lt]*this.pixelRatio)}}for(var be=0;be<3;++be){this.lineEnable[be]&&this._lines.drawAxisLine(be,this.bounds,Be[be].primalOffset,this.lineColor[be],this.lineWidth[be]*this.pixelRatio),this.lineMirror[be]&&this._lines.drawAxisLine(be,this.bounds,Be[be].mirrorOffset,this.lineColor[be],this.lineWidth[be]*this.pixelRatio);for(var mt=p(P,Be[be].primalMinor),Ht=p(E,Be[be].mirrorMinor),at=this.lineTickLength,ce=0;ce<3;++ce){var ct=ke/G[5*ce];mt[ce]*=at[ce]*ct,Ht[ce]*=at[ce]*ct}this.lineTickEnable[be]&&this._lines.drawAxisTicks(be,Be[be].primalOffset,mt,this.lineTickColor[be],this.lineTickWidth[be]*this.pixelRatio),this.lineTickMirror[be]&&this._lines.drawAxisTicks(be,Be[be].mirrorOffset,Ht,this.lineTickColor[be],this.lineTickWidth[be]*this.pixelRatio)}this._lines.unbind(),this._text.bind(G,Z,j,this.pixelRatio);var ar,Vt=.5,rr,tt;function je(dt){tt=[0,0,0],tt[dt]=1}function Ue(dt,Et,pt){var jt=(dt+1)%3,or=(dt+2)%3,mr=Et[jt],Ar=Et[or],ei=pt[jt],qr=pt[or];if(mr>0&&qr>0){je(jt);return}else if(mr>0&&qr<0){je(jt);return}else if(mr<0&&qr>0){je(jt);return}else if(mr<0&&qr<0){je(jt);return}else if(Ar>0&&ei>0){je(or);return}else if(Ar>0&&ei<0){je(or);return}else if(Ar<0&&ei>0){je(or);return}else if(Ar<0&&ei<0){je(or);return}}for(var be=0;be<3;++be){for(var Ae=Be[be].primalMinor,rt=Be[be].mirrorMinor,St=p(z,Be[be].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[be]&&(St[ce]+=ke*Ae[ce]*Math.max(this.lineTickLength[ce],0)/G[5*ce]);var Tt=[0,0,0];if(Tt[be]=1,this.tickEnable[be]){this.tickAngle[be]===-3600?(this.tickAngle[be]=0,this.tickAlign[be]=\"auto\"):this.tickAlign[be]=-1,rr=1,ar=[this.tickAlign[be],Vt,rr],ar[0]===\"auto\"?ar[0]=g:ar[0]=parseInt(\"\"+ar[0]),tt=[0,0,0],Ue(be,Ae,rt);for(var ce=0;ce<3;++ce)St[ce]+=ke*Ae[ce]*this.tickPad[ce]/G[5*ce];this._text.drawTicks(be,this.tickSize[be],this.tickAngle[be],St,this.tickColor[be],Tt,tt,ar)}if(this.labelEnable[be]){rr=0,tt=[0,0,0],this.labels[be].length>4&&(je(be),rr=1),ar=[this.labelAlign[be],Vt,rr],ar[0]===\"auto\"?ar[0]=g:ar[0]=parseInt(\"\"+ar[0]);for(var ce=0;ce<3;++ce)St[ce]+=ke*Ae[ce]*this.labelPad[ce]/G[5*ce];St[be]+=.5*(N[0][be]+N[1][be]),this._text.drawLabel(be,this.labelSize[be],this.labelAngle[be],St,this.labelColor[be],[0,0,0],tt,ar)}}this._text.unbind()},M.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function q(V,G){var Z=new k(V);return Z.update(G),Z}}),5304:(function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,m,b){this.gl=d,this.buffer=v,this.vao=m,this.shader=b}var f=c.prototype;f.draw=function(d,v,m,b,p,k){for(var M=!1,T=0;T<3;++T)M=M||p[T];if(M){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:m,bounds:b,enable:p,colors:k},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],m=[],b=0,p=0;p<3;++p)for(var k=(p+1)%3,M=(p+2)%3,T=[0,0,0],L=[0,0,0],x=-1;x<=1;x+=2){m.push(b,b+2,b+1,b+1,b+2,b+3),T[p]=x,L[p]=x;for(var C=-1;C<=1;C+=2){T[k]=C;for(var S=-1;S<=1;S+=2)T[M]=S,v.push(T[0],T[1],T[2],L[0],L[1],L[2]),b+=1}var g=k;k=M,M=g}var P=s(d,new Float32Array(v)),E=s(d,new Uint16Array(m),d.ELEMENT_ARRAY_BUFFER),z=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],E),q=u(d);return q.attributes.position.location=0,q.attributes.normal.location=1,new c(d,P,z,q)}}),6429:(function(i,a,o){\"use strict\";i.exports=x;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),m=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,S,g){for(var P=0;P<4;++P){C[P]=g[12+P];for(var E=0;E<3;++E)C[P]+=S[E]*g[4*E+P]}}var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function k(C){for(var S=0;S<p.length;++S)if(C=u.positive(C,p[S]),C.length<3)return 0;for(var g=C[0],P=g[0]/g[3],E=g[1]/g[3],z=0,S=1;S+1<C.length;++S){var q=C[S],V=C[S+1],G=q[0]/q[3],Z=q[1]/q[3],j=V[0]/V[3],N=V[1]/V[3],H=G-P,re=Z-E,ae=j-P,_e=N-E;z+=Math.abs(H*_e-re*ae)}return z}var M=[1,1,1],T=[0,0,0],L={cubeEdges:M,axis:T};function x(C,S,g,P,E){l(f,S,C),l(f,g,f);for(var z=0,q=0;q<2;++q){v[2]=P[q][2];for(var V=0;V<2;++V){v[1]=P[V][1];for(var G=0;G<2;++G)v[0]=P[G][0],b(h[z],v,f),z+=1}}for(var Z=-1,q=0;q<8;++q){for(var j=h[q][3],N=0;N<3;++N)d[q][N]=h[q][N]/j;E&&(d[q][2]*=-1),j<0&&(Z<0||d[q][2]<d[Z][2])&&(Z=q)}if(Z<0){Z=0;for(var H=0;H<3;++H){for(var re=(H+2)%3,ae=(H+1)%3,_e=-1,Ee=-1,Ce=0;Ce<2;++Ce){var ge=Ce<<H,ie=ge+(Ce<<re)+(1-Ce<<ae),Se=ge+(1-Ce<<re)+(Ce<<ae);c(d[ge],d[ie],d[Se],m)<0||(Ce?_e=1:Ee=1)}if(_e<0||Ee<0){Ee>_e&&(Z|=1<<H);continue}for(var Ce=0;Ce<2;++Ce){var ge=Ce<<H,ie=ge+(Ce<<re)+(1-Ce<<ae),Se=ge+(1-Ce<<re)+(Ce<<ae),ke=k([h[ge],h[ie],h[Se],h[ge+(1<<re)+(1<<ae)]]);Ce?_e=ke:Ee=ke}if(Ee>_e){Z|=1<<H;continue}}}for(var be=7^Z,Be=-1,q=0;q<8;++q)q===Z||q===be||(Be<0||d[Be][1]>d[q][1])&&(Be=q);for(var Le=-1,q=0;q<3;++q){var me=Be^1<<q;if(!(me===Z||me===be)){Le<0&&(Le=me);var ae=d[me];ae[0]<d[Le][0]&&(Le=me)}}for(var Pe=-1,q=0;q<3;++q){var me=Be^1<<q;if(!(me===Z||me===be||me===Le)){Pe<0&&(Pe=me);var ae=d[me];ae[0]>d[Pe][0]&&(Pe=me)}}var ce=M;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Le^Be)]=Be&Le,ce[s.log2(Be^Pe)]=Be&Pe;var He=Pe^7;He===Z||He===be?(He=Le^7,ce[s.log2(Pe^He)]=He&Pe):ce[s.log2(Le^He)]=He&Le;for(var lt=T,mt=Z,H=0;H<3;++H)mt&1<<H?lt[H]=-1:lt[H]=1;return L}}),501:(function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(1879).n,c=[0,0,0],f=[0,0,0],h=[0,0,0],d=[0,0,0],v=[1,1];function m(T){return T[0]=T[1]=T[2]=0,T}function b(T,L){return T[0]=L[0],T[1]=L[1],T[2]=L[2],T}function p(T,L,x,C,S,g,P,E){this.gl=T,this.vertBuffer=L,this.vao=x,this.shader=C,this.tickCount=S,this.tickOffset=g,this.gridCount=P,this.gridOffset=E}var k=p.prototype;k.bind=function(T,L,x){this.shader.bind(),this.shader.uniforms.model=T,this.shader.uniforms.view=L,this.shader.uniforms.projection=x,v[0]=this.gl.drawingBufferWidth,v[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=v,this.vao.bind()},k.unbind=function(){this.vao.unbind()},k.drawAxisLine=function(T,L,x,C,S){var g=m(f);this.shader.uniforms.majorAxis=f,g[T]=L[1][T]-L[0][T],this.shader.uniforms.minorAxis=g;var P=b(d,x);P[T]+=L[0][T],this.shader.uniforms.offset=P,this.shader.uniforms.lineWidth=S,this.shader.uniforms.color=C;var E=m(h);E[(T+2)%3]=1,this.shader.uniforms.screenAxis=E,this.vao.draw(this.gl.TRIANGLES,6);var E=m(h);E[(T+1)%3]=1,this.shader.uniforms.screenAxis=E,this.vao.draw(this.gl.TRIANGLES,6)},k.drawAxisTicks=function(T,L,x,C,S){if(this.tickCount[T]){var g=m(c);g[T]=1,this.shader.uniforms.majorAxis=g,this.shader.uniforms.offset=L,this.shader.uniforms.minorAxis=x,this.shader.uniforms.color=C,this.shader.uniforms.lineWidth=S;var P=m(h);P[T]=1,this.shader.uniforms.screenAxis=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[T],this.tickOffset[T])}},k.drawGrid=function(T,L,x,C,S,g){if(this.gridCount[T]){var P=m(f);P[L]=x[1][L]-x[0][L],this.shader.uniforms.minorAxis=P;var E=b(d,C);E[L]+=x[0][L],this.shader.uniforms.offset=E;var z=m(c);z[T]=1,this.shader.uniforms.majorAxis=z;var q=m(h);q[T]=1,this.shader.uniforms.screenAxis=q,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=S,this.vao.draw(this.gl.TRIANGLES,this.gridCount[T],this.gridOffset[T])}},k.drawZero=function(T,L,x,C,S,g){var P=m(f);this.shader.uniforms.majorAxis=P,P[T]=x[1][T]-x[0][T],this.shader.uniforms.minorAxis=P;var E=b(d,C);E[T]+=x[0][T],this.shader.uniforms.offset=E;var z=m(h);z[L]=1,this.shader.uniforms.screenAxis=z,this.shader.uniforms.lineWidth=g,this.shader.uniforms.color=S,this.vao.draw(this.gl.TRIANGLES,6)},k.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()};function M(T,L,x){var C=[],S=[0,0,0],g=[0,0,0],P=[0,0,0],E=[0,0,0];C.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var z=0;z<3;++z){for(var G=C.length/3|0,q=0;q<x[z].length;++q){var V=+x[z][q].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;S[z]=G,g[z]=j-G;for(var G=C.length/3|0,Z=0;Z<x[z].length;++Z){var V=+x[z][Z].x;C.push(V,0,1,V,1,1,V,0,-1,V,0,-1,V,1,1,V,1,-1)}var j=C.length/3|0;P[z]=G,E[z]=j-G}var N=s(T,new Float32Array(C)),H=l(T,[{buffer:N,type:T.FLOAT,size:3,stride:0,offset:0}]),re=u(T);return re.attributes.position.location=0,new p(T,N,H,re,g,S,E,P)}}),1879:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, majorAxis, minorAxis, screenAxis;\n",
+       "uniform float lineWidth;\n",
+       "uniform vec2 screenShape;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 major = position.x * majorAxis;\n",
+       "  vec3 minor = position.y * minorAxis;\n",
+       "\n",
+       "  vec3 vPosition = major + minor + offset;\n",
+       "  vec3 pPosition = project(vPosition);\n",
+       "  vec3 offset = project(vPosition + screenAxis * position.z);\n",
+       "\n",
+       "  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.n=function(m){return l(m,u,c,null,[{name:\"position\",type:\"vec3\"}])};var f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 offset, axis, alignDir, alignOpt;\n",
+       "uniform float scale, angle, pixelScale;\n",
+       "uniform vec2 resolution;\n",
+       "\n",
+       "vec3 project(vec3 p) {\n",
+       "  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\n",
+       "  return pp.xyz / max(pp.w, 0.0001);\n",
+       "}\n",
+       "\n",
+       "float computeViewAngle(vec3 a, vec3 b) {\n",
+       "  vec3 A = project(a);\n",
+       "  vec3 B = project(b);\n",
+       "\n",
+       "  return atan(\n",
+       "    (B.y - A.y) * resolution.y,\n",
+       "    (B.x - A.x) * resolution.x\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "const float PI = 3.141592;\n",
+       "const float TWO_PI = 2.0 * PI;\n",
+       "const float HALF_PI = 0.5 * PI;\n",
+       "const float ONE_AND_HALF_PI = 1.5 * PI;\n",
+       "\n",
+       "int option = int(floor(alignOpt.x + 0.001));\n",
+       "float hv_ratio =       alignOpt.y;\n",
+       "bool enableAlign =    (alignOpt.z != 0.0);\n",
+       "\n",
+       "float mod_angle(float a) {\n",
+       "  return mod(a, PI);\n",
+       "}\n",
+       "\n",
+       "float positive_angle(float a) {\n",
+       "  return mod_angle((a < 0.0) ?\n",
+       "    a + TWO_PI :\n",
+       "    a\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "float look_upwards(float a) {\n",
+       "  float b = positive_angle(a);\n",
+       "  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n",
+       "    b - PI :\n",
+       "    b;\n",
+       "}\n",
+       "\n",
+       "float look_horizontal_or_vertical(float a, float ratio) {\n",
+       "  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n",
+       "  // if ratio is set to 0.5 then it is 50%, 50%.\n",
+       "  // when using a higher ratio e.g. 0.75 the result would\n",
+       "  // likely be more horizontal than vertical.\n",
+       "\n",
+       "  float b = positive_angle(a);\n",
+       "\n",
+       "  return\n",
+       "    (b < (      ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n",
+       "    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n",
+       "    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n",
+       "                                    0.0;\n",
+       "}\n",
+       "\n",
+       "float roundTo(float a, float b) {\n",
+       "  return float(b * floor((a + 0.5 * b) / b));\n",
+       "}\n",
+       "\n",
+       "float look_round_n_directions(float a, int n) {\n",
+       "  float b = positive_angle(a);\n",
+       "  float div = TWO_PI / float(n);\n",
+       "  float c = roundTo(b, div);\n",
+       "  return look_upwards(c);\n",
+       "}\n",
+       "\n",
+       "float applyAlignOption(float rawAngle, float delta) {\n",
+       "  return\n",
+       "    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n",
+       "    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n",
+       "    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n",
+       "    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n",
+       "    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n",
+       "                    rawAngle;                // otherwise return back raw input angle\n",
+       "}\n",
+       "\n",
+       "bool isAxisTitle = (axis.x == 0.0) &&\n",
+       "                   (axis.y == 0.0) &&\n",
+       "                   (axis.z == 0.0);\n",
+       "\n",
+       "void main() {\n",
+       "  //Compute world offset\n",
+       "  float axisDistance = position.z;\n",
+       "  vec3 dataPosition = axisDistance * axis + offset;\n",
+       "\n",
+       "  float beta = angle; // i.e. user defined attributes for each tick\n",
+       "\n",
+       "  float axisAngle;\n",
+       "  float clipAngle;\n",
+       "  float flip;\n",
+       "\n",
+       "  if (enableAlign) {\n",
+       "    axisAngle = (isAxisTitle) ? HALF_PI :\n",
+       "                      computeViewAngle(dataPosition, dataPosition + axis);\n",
+       "    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n",
+       "\n",
+       "    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n",
+       "    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n",
+       "\n",
+       "    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n",
+       "                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n",
+       "\n",
+       "    beta += applyAlignOption(clipAngle, flip * PI);\n",
+       "  }\n",
+       "\n",
+       "  //Compute plane offset\n",
+       "  vec2 planeCoord = position.xy * pixelScale;\n",
+       "\n",
+       "  mat2 planeXform = scale * mat2(\n",
+       "     cos(beta), sin(beta),\n",
+       "    -sin(beta), cos(beta)\n",
+       "  );\n",
+       "\n",
+       "  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n",
+       "\n",
+       "  //Compute clip position\n",
+       "  vec3 clipPosition = project(dataPosition);\n",
+       "\n",
+       "  //Apply text offset in clip coordinates\n",
+       "  clipPosition += vec3(viewOffset, 0.0);\n",
+       "\n",
+       "  //Done\n",
+       "  gl_Position = vec4(clipPosition, 1.0);\n",
+       "}\n",
+       "`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "void main() {\n",
+       "  gl_FragColor = color;\n",
+       "}`]);a.Q=function(m){return l(m,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 enable;\n",
+       "uniform vec3 bounds[2];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "\n",
+       "  vec3 signAxis = sign(bounds[1] - bounds[0]);\n",
+       "\n",
+       "  vec3 realNormal = signAxis * normal;\n",
+       "\n",
+       "  if(dot(realNormal, enable) > 0.0) {\n",
+       "    vec3 minRange = min(bounds[0], bounds[1]);\n",
+       "    vec3 maxRange = max(bounds[0], bounds[1]);\n",
+       "    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n",
+       "    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n",
+       "  } else {\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  }\n",
+       "\n",
+       "  colorChannel = abs(realNormal);\n",
+       "}\n",
+       "`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec4 colors[3];\n",
+       "\n",
+       "varying vec3 colorChannel;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = colorChannel.x * colors[0] +\n",
+       "                 colorChannel.y * colors[1] +\n",
+       "                 colorChannel.z * colors[2];\n",
+       "}`]);a.bg=function(m){return l(m,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}}),4935:(function(i,a,o){\"use strict\";i.exports=k;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(M,T,L,x){this.gl=M,this.shader=T,this.buffer=L,this.vao=x,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var m=v.prototype,b=[0,0];m.bind=function(M,T,L,x){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=M,C.view=T,C.projection=L,C.pixelScale=x,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},m.unbind=function(){this.vao.unbind()},m.update=function(M,T,L,x,C){var S=[];function g(H,re,ae,_e,Ee,Ce){var ge=[ae.style,ae.weight,ae.variant,ae.family].join(\"_\"),ie=h[ge];ie||(ie=h[ge]={});var Se=ie[re];Se||(Se=ie[re]=p(re,{triangles:!0,font:ae.family,fontStyle:ae.style,fontWeight:ae.weight,fontVariant:ae.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Ee,styletags:Ce}));for(var ke=(_e||12)/12,be=Se.positions,Be=Se.cells,Le=0,me=Be.length;Le<me;++Le)for(var Pe=Be[Le],ce=2;ce>=0;--ce){var He=be[Pe[ce]];S.push(ke*He[0],-ke*He[1],H)}}for(var P=[0,0,0],E=[0,0,0],z=[0,0,0],q=[0,0,0],V=1.25,G={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},Z=0;Z<3;++Z){z[Z]=S.length/d|0,g(.5*(M[0][Z]+M[1][Z]),T[Z],L[Z],12,V,G),q[Z]=(S.length/d|0)-z[Z],P[Z]=S.length/d|0;for(var j=0;j<x[Z].length;++j)if(x[Z][j].text){var N={family:x[Z][j].font||C[Z].family,style:C[Z].fontStyle||C[Z].style,weight:C[Z].fontWeight||C[Z].weight,variant:C[Z].fontVariant||C[Z].variant};g(x[Z][j].x,x[Z][j].text,N,x[Z][j].fontSize||12,V,G)}E[Z]=(S.length/d|0)-P[Z]}this.buffer.update(S),this.tickOffset=P,this.tickCount=E,this.labelOffset=z,this.labelCount=q},m.drawTicks=function(M,T,L,x,C,S,g,P){this.tickCount[M]&&(this.shader.uniforms.axis=S,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=T,this.shader.uniforms.offset=x,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[M],this.tickOffset[M]))},m.drawLabel=function(M,T,L,x,C,S,g,P){this.labelCount[M]&&(this.shader.uniforms.axis=S,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=T,this.shader.uniforms.offset=x,this.shader.uniforms.alignDir=g,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[M],this.labelOffset[M]))},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function p(M,T){try{return u(M,T)}catch(L){return console.warn('error vectorizing text:\"'+M+'\" error:',L),{cells:[],positions:[]}}}function k(M,T,L,x,C,S){var g=s(M),P=l(M,[{buffer:g,size:3}]),E=c(M);E.attributes.position.location=0;var z=new v(M,E,g,P);return z.update(T,L,x,C,S),z}}),6444:(function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),m=Math.round(u*c*v),b=m+\"\";if(b.indexOf(\"e\")>=0)return b;var p=m/v,k=m%v;m<0?(p=-Math.ceil(p)|0,k=-k|0):(p=Math.floor(p)|0,k=k|0);var M=\"\"+p;if(m<0&&(M=\"-\"+M),d){for(var T=\"\"+k;T.length<d;)T=\"0\"+T;return M+\".\"+T}else return M}function s(u,c){for(var f=[],h=0;h<3;++h){for(var d=[],v=.5*(u[0][h]+u[1][h]),m=0;m*c[h]<=u[1][h];++m)d.push({x:m*c[h],text:o(c[h],m)});for(var m=-1;m*c[h]>=u[0][h];--m)d.push({x:m*c[h],text:o(c[h],m)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;h<u[f].length;++h){var d=u[f][h],v=c[f][h];if(d.x!==v.x||d.text!==v.text||d.font!==v.font||d.fontColor!==v.fontColor||d.fontSize!==v.fontSize||d.dx!==v.dx||d.dy!==v.dy)return!1}}return!0}}),5445:(function(i,a,o){\"use strict\";i.exports=L;var s=o(5033),l=o(5202),u=o(6429),c=o(6760),f=o(5665),h=o(5352),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),v=new Float32Array(16);function m(x,C,S){this.lo=x,this.hi=C,this.pixelsPerDataUnit=S}var b=[0,0,0,1],p=[0,0,0,1];function k(x,C,S,g,P){for(var E=0;E<3;++E){for(var z=b,q=p,V=0;V<3;++V)q[V]=z[V]=S[V];q[3]=z[3]=1,q[E]+=1,h(q,q,C),q[3]<0&&(x[E]=1/0),z[E]-=1,h(z,z,C),z[3]<0&&(x[E]=1/0);var G=(z[0]/z[3]-q[0]/q[3])*g,Z=(z[1]/z[3]-q[1]/q[3])*P;x[E]=.25*Math.sqrt(G*G+Z*Z)}return x}var M=[new m(1/0,-1/0,1/0),new m(1/0,-1/0,1/0),new m(1/0,-1/0,1/0)],T=[0,0,0];function L(x,C,S,g,Z){var E=C.model||d,z=C.view||d,q=C.projection||d,V=C._ortho||!1,G=x.bounds,Z=Z||u(E,z,q,G,V),j=Z.axis;c(v,z,E),c(v,q,v);for(var N=M,H=0;H<3;++H)N[H].lo=1/0,N[H].hi=-1/0,N[H].pixelsPerDataUnit=1/0;var re=s(f(v,v));f(v,v);for(var ae=0;ae<3;++ae){var _e=(ae+1)%3,Ee=(ae+2)%3,Ce=T;e:for(var H=0;H<2;++H){var ge=[];if(j[ae]<0!=!!H){Ce[ae]=G[H][ae];for(var ie=0;ie<2;++ie){Ce[_e]=G[ie^H][_e];for(var Se=0;Se<2;++Se)Ce[Ee]=G[Se^ie^H][Ee],ge.push(Ce.slice())}for(var ke=V?5:4,ie=ke;ie===ke;++ie){if(ge.length===0)continue e;ge=l.positive(ge,re[ie])}for(var ie=0;ie<ge.length;++ie)for(var Ee=ge[ie],be=k(T,v,Ee,S,g),Se=0;Se<3;++Se)N[Se].lo=Math.min(N[Se].lo,Ee[Se]),N[Se].hi=Math.max(N[Se].hi,Ee[Se]),Se!==ae&&(N[Se].pixelsPerDataUnit=Math.min(N[Se].pixelsPerDataUnit,Math.abs(be[Se])))}}}return N}}),2762:(function(i,a,o){\"use strict\";var s=o(1888),l=o(5298),u=o(9618),c=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function f(p,k,M,T,L){this.gl=p,this.type=k,this.handle=M,this.length=T,this.usage=L}var h=f.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)};function d(p,k,M,T,L,x){var C=L.length*L.BYTES_PER_ELEMENT;if(x<0)return p.bufferData(k,L,T),C;if(C+x>M)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return p.bufferSubData(k,x,L),M}function v(p,k){for(var M=s.malloc(p.length,k),T=p.length,L=0;L<T;++L)M[L]=p[L];return M}function m(p,k){for(var M=1,T=k.length-1;T>=0;--T){if(k[T]!==M)return!1;M*=p[T]}return!0}h.update=function(p,k){if(typeof k!=\"number\"&&(k=-1),this.bind(),typeof p==\"object\"&&typeof p.shape!=\"undefined\"){var M=p.dtype;if(c.indexOf(M)<0&&(M=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var T=gl.getExtension(\"OES_element_index_uint\");T&&M!==\"uint16\"?M=\"uint32\":M=\"uint16\"}if(M===p.dtype&&m(p.shape,p.stride))p.offset===0&&p.data.length===p.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,p.data,k):this.length=d(this.gl,this.type,this.length,this.usage,p.data.subarray(p.offset,p.shape[0]),k);else{var L=s.malloc(p.size,M),x=u(L,p.shape);l.assign(x,p),k<0?this.length=d(this.gl,this.type,this.length,this.usage,L,k):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,p.size),k),s.free(L)}}else if(Array.isArray(p)){var C;this.type===this.gl.ELEMENT_ARRAY_BUFFER?C=v(p,\"uint16\"):C=v(p,\"float32\"),k<0?this.length=d(this.gl,this.type,this.length,this.usage,C,k):this.length=d(this.gl,this.type,this.length,this.usage,C.subarray(0,p.length),k),s.free(C)}else if(typeof p==\"object\"&&typeof p.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,p,k);else if(typeof p==\"number\"||p===void 0){if(k>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");p=p|0,p<=0&&(p=1),this.gl.bufferData(this.type,p|0,this.usage),this.length=p}else throw new Error(\"gl-buffer: Invalid data type\")};function b(p,k,M,T){if(M=M||p.ARRAY_BUFFER,T=T||p.DYNAMIC_DRAW,M!==p.ARRAY_BUFFER&&M!==p.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(T!==p.DYNAMIC_DRAW&&T!==p.STATIC_DRAW&&T!==p.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var L=p.createBuffer(),x=new f(p,M,L,0,T);return x.update(k),x}i.exports=b}),6405:(function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,m=1/0,b=-1/0,p=1/0,k=-1/0,M=1/0,T=-1/0,L=null,x=null,C=[],S=1/0,g=!1,P=u.coneSizemode===\"raw\",E=0;E<f.length;E++){var z=f[E];m=Math.min(z[0],m),b=Math.max(z[0],b),p=Math.min(z[1],p),k=Math.max(z[1],k),M=Math.min(z[2],M),T=Math.max(z[2],T);var q=h[E];if(s.length(q)>v&&(v=s.length(q)),E&&!P){var V=2*s.distance(L,z)/(s.length(x)+s.length(q));V?(S=Math.min(S,V),g=!1):g=!0}g||(L=z,x=q),C.push(q)}var G=[m,p,M],Z=[b,k,T];c&&(c[0]=G,c[1]=Z),v===0&&(v=1);var j=1/v;isFinite(S)||(S=1),d.vectorScale=S;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*j),d.coneScale=N;for(var E=0,H=0;E<f.length;E++)for(var z=f[E],re=z[0],ae=z[1],_e=z[2],Ee=C[E],Ce=s.length(Ee)*j,ge=0,ie=8;ge<ie;ge++){d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.positions.push([re,ae,_e,H++]),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vectors.push(Ee),d.vertexIntensity.push(Ce,Ce,Ce),d.vertexIntensity.push(Ce,Ce,Ce);var Se=d.positions.length;d.cells.push([Se-6,Se-5,Se-4],[Se-3,Se-2,Se-1])}return d};var l=o(614);i.exports.createMesh=o(9060),i.exports.createConeMesh=function(u,c){return i.exports.createMesh(u,c,{shaders:l,traceType:\"cone\"})}}),9060:(function(i,a,o){\"use strict\";var s=o(9405),l=o(2762),u=o(8116),c=o(7766),f=o(6760),h=o(7608),d=o(9618),v=o(6729),m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function b(C,S,g,P,E,z,q,V,G,Z,j){this.gl=C,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=S,this.dirty=!0,this.triShader=g,this.pickShader=P,this.trianglePositions=E,this.triangleVectors=z,this.triangleColors=V,this.triangleUVs=G,this.triangleIds=q,this.triangleVAO=Z,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=j,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var p=b.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(C){this.pickId=C};function k(C){for(var S=v({colormap:C,nshades:256,format:\"rgba\"}),g=new Uint8Array(256*4),P=0;P<256;++P){for(var E=S[P],z=0;z<3;++z)g[4*P+z]=E[z];g[4*P+3]=E[3]*255}return d(g,[256,256,4],[4,0,1])}function M(C){for(var S=C.length,g=new Array(S),P=0;P<S;++P)g[P]=C[P][2];return g}p.update=function(C){C=C||{};var S=this.gl;this.dirty=!0,\"lightPosition\"in C&&(this.lightPosition=C.lightPosition),\"opacity\"in C&&(this.opacity=C.opacity),\"ambient\"in C&&(this.ambientLight=C.ambient),\"diffuse\"in C&&(this.diffuseLight=C.diffuse),\"specular\"in C&&(this.specularLight=C.specular),\"roughness\"in C&&(this.roughness=C.roughness),\"fresnel\"in C&&(this.fresnel=C.fresnel),C.tubeScale!==void 0&&(this.tubeScale=C.tubeScale),C.vectorScale!==void 0&&(this.vectorScale=C.vectorScale),C.coneScale!==void 0&&(this.coneScale=C.coneScale),C.coneOffset!==void 0&&(this.coneOffset=C.coneOffset),C.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=S.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=S.LINEAR,this.texture.setPixels(k(C.colormap)),this.texture.generateMipmap());var g=C.cells,P=C.positions,E=C.vectors;if(!(!P||!g||!E)){var z=[],q=[],V=[],G=[],Z=[];this.cells=g,this.positions=P,this.vectors=E;var j=C.meshColor||[1,1,1,1],N=C.vertexIntensity,H=1/0,re=-1/0;if(N)if(C.vertexIntensityBounds)H=+C.vertexIntensityBounds[0],re=+C.vertexIntensityBounds[1];else for(var ae=0;ae<N.length;++ae){var _e=N[ae];H=Math.min(H,_e),re=Math.max(re,_e)}else for(var ae=0;ae<P.length;++ae){var _e=P[ae][2];H=Math.min(H,_e),re=Math.max(re,_e)}N?this.intensity=N:this.intensity=M(P),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var ae=0;ae<P.length;++ae)for(var Ee=P[ae],Ce=0;Ce<3;++Ce)isNaN(Ee[Ce])||!isFinite(Ee[Ce])||(this.bounds[0][Ce]=Math.min(this.bounds[0][Ce],Ee[Ce]),this.bounds[1][Ce]=Math.max(this.bounds[1][Ce],Ee[Ce]));var ge=0;e:for(var ae=0;ae<g.length;++ae){var ie=g[ae];switch(ie.length){case 3:for(var Ce=0;Ce<3;++Ce)for(var Se=ie[Ce],Ee=P[Se],ke=0;ke<3;++ke)if(isNaN(Ee[ke])||!isFinite(Ee[ke]))continue e;for(var Ce=0;Ce<3;++Ce){var Se=ie[2-Ce],Ee=P[Se];z.push(Ee[0],Ee[1],Ee[2],Ee[3]);var be=E[Se];q.push(be[0],be[1],be[2],be[3]||0);var Be=j;Be.length===3?V.push(Be[0],Be[1],Be[2],1):V.push(Be[0],Be[1],Be[2],Be[3]);var Le;N?Le=[(N[Se]-H)/(re-H),0]:Le=[(Ee[2]-H)/(re-H),0],G.push(Le[0],Le[1]),Z.push(ae)}ge+=1;break;default:break}}this.triangleCount=ge,this.trianglePositions.update(z),this.triangleVectors.update(q),this.triangleColors.update(V),this.triangleUVs.update(G),this.triangleIds.update(new Uint32Array(Z))}},p.drawTransparent=p.draw=function(C){C=C||{};for(var S=this.gl,g=C.model||m,P=C.view||m,E=C.projection||m,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)z[0][q]=Math.max(z[0][q],this.clipBounds[0][q]),z[1][q]=Math.min(z[1][q],this.clipBounds[1][q]);var V={model:g,view:P,projection:E,inverseModel:m.slice(),clipBounds:z,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};V.inverseModel=h(V.inverseModel,V.model),S.disable(S.CULL_FACE),this.texture.bind(0);var G=new Array(16);f(G,V.view,V.model),f(G,V.projection,G),h(G,G);for(var q=0;q<3;++q)V.eyePosition[q]=G[12+q]/G[15];for(var Z=G[15],q=0;q<3;++q)Z+=this.lightPosition[q]*G[4*q+3];for(var q=0;q<3;++q){for(var j=G[12+q],N=0;N<3;++N)j+=G[4*N+q]*this.lightPosition[N];V.lightPosition[q]=j/Z}if(this.triangleCount>0){var H=this.triShader;H.bind(),H.uniforms=V,this.triangleVAO.bind(),S.drawArrays(S.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},p.drawPick=function(C){C=C||{};for(var S=this.gl,g=C.model||m,P=C.view||m,E=C.projection||m,z=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)z[0][q]=Math.max(z[0][q],this.clipBounds[0][q]),z[1][q]=Math.min(z[1][q],this.clipBounds[1][q]);this._model=[].slice.call(g),this._view=[].slice.call(P),this._projection=[].slice.call(E),this._resolution=[S.drawingBufferWidth,S.drawingBufferHeight];var V={model:g,view:P,projection:E,clipBounds:z,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},G=this.pickShader;G.bind(),G.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),S.drawArrays(S.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},p.pick=function(C){if(!C||C.id!==this.pickId)return null;var S=C.value[0]+256*C.value[1]+65536*C.value[2],g=this.cells[S],P=this.positions[g[1]].slice(0,3),E={position:P,dataCoordinate:P,index:Math.floor(g[1]/48)};return this.traceType===\"cone\"?E.index=Math.floor(g[1]/48):this.traceType===\"streamtube\"&&(E.intensity=this.intensity[g[1]],E.velocity=this.vectors[g[1]].slice(0,3),E.divergence=this.vectors[g[1]][3],E.index=S),E},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function T(C,S){var g=s(C,S.meshShader.vertex,S.meshShader.fragment,null,S.meshShader.attributes);return g.attributes.position.location=0,g.attributes.color.location=2,g.attributes.uv.location=3,g.attributes.vector.location=4,g}function L(C,S){var g=s(C,S.pickShader.vertex,S.pickShader.fragment,null,S.pickShader.attributes);return g.attributes.position.location=0,g.attributes.id.location=1,g.attributes.vector.location=4,g}function x(C,S,g){var P=g.shaders;arguments.length===1&&(S=C,C=S.gl);var E=T(C,P),z=L(C,P),q=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));q.generateMipmap(),q.minFilter=C.LINEAR_MIPMAP_LINEAR,q.magFilter=C.LINEAR;var V=l(C),G=l(C),Z=l(C),j=l(C),N=l(C),H=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Z,type:C.FLOAT,size:4},{buffer:j,type:C.FLOAT,size:2},{buffer:G,type:C.FLOAT,size:4}]),re=new b(C,q,E,z,V,G,N,Z,j,H,g.traceType||\"cone\");return re.update(S),re}i.exports=x}),614:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec3 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * conePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(conePosition, 1.0);\n",
+       "  vec4 t_position  = view * conePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = conePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the cone vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a cone with its top at origin and height of 1.0,\n",
+       "// pointing in the direction of the vector attribute.\n",
+       "//\n",
+       "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n",
+       "// These vertices are used to make up the triangles of the cone by the following:\n",
+       "//   segment + 0 top vertex\n",
+       "//   segment + 1 perimeter vertex a+1\n",
+       "//   segment + 2 perimeter vertex a\n",
+       "//   segment + 3 center base vertex\n",
+       "//   segment + 4 perimeter vertex a\n",
+       "//   segment + 5 perimeter vertex a+1\n",
+       "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n",
+       "// To go from index to segment, floor(index / 6)\n",
+       "// To go from segment to angle, 2*pi * (segment/segmentCount)\n",
+       "// To go from index to segment index, index - (segment*6)\n",
+       "//\n",
+       "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n",
+       "\n",
+       "  const float segmentCount = 8.0;\n",
+       "\n",
+       "  float index = rawIndex - floor(rawIndex /\n",
+       "    (segmentCount * 6.0)) *\n",
+       "    (segmentCount * 6.0);\n",
+       "\n",
+       "  float segment = floor(0.001 + index/6.0);\n",
+       "  float segmentIndex = index - (segment*6.0);\n",
+       "\n",
+       "  normal = -normalize(d);\n",
+       "\n",
+       "  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n",
+       "    return mix(vec3(0.0), -d, coneOffset);\n",
+       "  }\n",
+       "\n",
+       "  float nextAngle = (\n",
+       "    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n",
+       "    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n",
+       "  ) ? 1.0 : 0.0;\n",
+       "  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n",
+       "\n",
+       "  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n",
+       "  vec3 v2 = v1 - d;\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d)*0.25;\n",
+       "  vec3 y = v * sin(angle) * length(d)*0.25;\n",
+       "  vec3 v3 = v2 + x + y;\n",
+       "  if (segmentIndex < 3.0) {\n",
+       "    vec3 tx = u * sin(angle);\n",
+       "    vec3 ty = v * -cos(angle);\n",
+       "    vec3 tangent = tx + ty;\n",
+       "    normal = normalize(cross(v3 - v1, tangent));\n",
+       "  }\n",
+       "\n",
+       "  if (segmentIndex == 0.0) {\n",
+       "    return mix(d, vec3(0.0), coneOffset);\n",
+       "  }\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float vectorScale, coneScale, coneOffset;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n",
+       "  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "  gl_Position = projection * (view * conePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}}),737:(function(i){i.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}}),5171:(function(i,a,o){var s=o(737);i.exports=function(u){return s[u]}}),9165:(function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,M,T){this.gl=p,this.shader=T,this.buffer=k,this.vao=M,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(p){var k=this.gl,M=this.shader.uniforms;this.shader.bind();var T=M.view=p.view||c,L=M.projection=p.projection||c;M.model=p.model||c,M.clipBounds=this.clipBounds,M.opacity=this.opacity;var x=T[12],C=T[13],S=T[14],g=T[15],P=p._ortho||!1,E=P?2:1,z=E*this.pixelRatio*(L[3]*x+L[7]*C+L[11]*S+L[15]*g)/k.drawingBufferHeight;this.vao.bind();for(var q=0;q<3;++q)k.lineWidth(this.lineWidth[q]*this.pixelRatio),M.capSize=this.capSize[q]*z,this.lineCount[q]&&k.drawArrays(k.LINES,this.lineOffset[q],this.lineCount[q]);this.vao.unbind()};function d(p,k){for(var M=0;M<3;++M)p[0][M]=Math.min(p[0][M],k[M]),p[1][M]=Math.max(p[1][M],k[M])}var v=(function(){for(var p=new Array(3),k=0;k<3;++k){for(var M=[],T=1;T<=2;++T)for(var L=-1;L<=1;L+=2){var x=(T+k)%3,C=[0,0,0];C[x]=L,M.push(C)}p[k]=M}return p})();function m(p,k,M,T){for(var L=v[T],x=0;x<L.length;++x){var C=L[x];p.push(k[0],k[1],k[2],M[0],M[1],M[2],M[3],C[0],C[1],C[2])}return L.length}h.update=function(p){p=p||{},\"lineWidth\"in p&&(this.lineWidth=p.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in p&&(this.capSize=p.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var k=p.color||[[0,0,0],[0,0,0],[0,0,0]],M=p.position,T=p.error;if(Array.isArray(k[0])||(k=[k,k,k]),M&&T){var L=[],x=M.length,C=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var S=0;S<3;++S){this.lineOffset[S]=C;e:for(var g=0;g<x;++g){for(var P=M[g],E=0;E<3;++E)if(isNaN(P[E])||!isFinite(P[E]))continue e;var z=T[g],q=k[S];if(Array.isArray(q[0])&&(q=k[g]),q.length===3?q=[q[0],q[1],q[2],1]:q.length===4&&(q=[q[0],q[1],q[2],q[3]],!this.hasAlpha&&q[3]<1&&(this.hasAlpha=!0)),!(isNaN(z[0][S])||isNaN(z[1][S]))){if(z[0][S]<0){var V=P.slice();V[S]+=z[0][S],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+m(L,V,q,S)}if(z[1][S]>0){var V=P.slice();V[S]+=z[1][S],L.push(P[0],P[1],P[2],q[0],q[1],q[2],q[3],0,0,0,V[0],V[1],V[2],q[0],q[1],q[2],q[3],0,0,0),d(this.bounds,V),C+=2+m(L,V,q,S)}}}this.lineCount[S]=C-this.lineOffset[S]}this.buffer.update(L)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()};function b(p){var k=p.gl,M=s(k),T=l(k,[{buffer:M,type:k.FLOAT,size:3,offset:0,stride:40},{buffer:M,type:k.FLOAT,size:4,offset:12,stride:40},{buffer:M,type:k.FLOAT,size:3,offset:28,stride:40}]),L=u(k);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var x=new f(k,M,T,L);return x.update(p),x}}),3436:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, offset;\n",
+       "attribute vec4 color;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float capSize;\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 fragPosition;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 worldPosition  = model * vec4(position, 1.0);\n",
+       "  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n",
+       "  gl_Position         = projection * (view * worldPosition);\n",
+       "  fragColor           = color;\n",
+       "  fragPosition        = position;\n",
+       "}`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float opacity;\n",
+       "varying vec3 fragPosition;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  gl_FragColor = opacity * fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}}),2260:(function(i,a,o){\"use strict\";var s=o(7766);i.exports=C;var l=null,u,c,f,h;function d(S){var g=S.getParameter(S.FRAMEBUFFER_BINDING),P=S.getParameter(S.RENDERBUFFER_BINDING),E=S.getParameter(S.TEXTURE_BINDING_2D);return[g,P,E]}function v(S,g){S.bindFramebuffer(S.FRAMEBUFFER,g[0]),S.bindRenderbuffer(S.RENDERBUFFER,g[1]),S.bindTexture(S.TEXTURE_2D,g[2])}function m(S,g){var P=S.getParameter(g.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var E=0;E<=P;++E){for(var z=new Array(P),q=0;q<E;++q)z[q]=S.COLOR_ATTACHMENT0+q;for(var q=E;q<P;++q)z[q]=S.NONE;l[E]=z}}function b(S){switch(S){case u:throw new Error(\"gl-fbo: Framebuffer unsupported\");case c:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case f:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case h:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function p(S,g,P,E,z,q){if(!E)return null;var V=s(S,g,P,z,E);return V.magFilter=S.NEAREST,V.minFilter=S.NEAREST,V.mipSamples=1,V.bind(),S.framebufferTexture2D(S.FRAMEBUFFER,q,S.TEXTURE_2D,V.handle,0),V}function k(S,g,P,E,z){var q=S.createRenderbuffer();return S.bindRenderbuffer(S.RENDERBUFFER,q),S.renderbufferStorage(S.RENDERBUFFER,E,g,P),S.framebufferRenderbuffer(S.FRAMEBUFFER,z,S.RENDERBUFFER,q),q}function M(S){var g=d(S.gl),P=S.gl,E=S.handle=P.createFramebuffer(),z=S._shape[0],q=S._shape[1],V=S.color.length,G=S._ext,Z=S._useStencil,j=S._useDepth,N=S._colorType;P.bindFramebuffer(P.FRAMEBUFFER,E);for(var H=0;H<V;++H)S.color[H]=p(P,z,q,N,P.RGBA,P.COLOR_ATTACHMENT0+H);V===0?(S._color_rb=k(P,z,q,P.RGBA4,P.COLOR_ATTACHMENT0),G&&G.drawBuffersWEBGL(l[0])):V>1&&G.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?Z?S.depth=p(P,z,q,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):j&&(S.depth=p(P,z,q,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):j&&Z?S._depth_rb=k(P,z,q,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):j?S._depth_rb=k(P,z,q,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):Z&&(S._depth_rb=k(P,z,q,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var ae=P.checkFramebufferStatus(P.FRAMEBUFFER);if(ae!==P.FRAMEBUFFER_COMPLETE){S._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(S.handle),S.handle=null,S.depth&&(S.depth.dispose(),S.depth=null),S._depth_rb&&(P.deleteRenderbuffer(S._depth_rb),S._depth_rb=null);for(var H=0;H<S.color.length;++H)S.color[H].dispose(),S.color[H]=null;S._color_rb&&(P.deleteRenderbuffer(S._color_rb),S._color_rb=null),v(P,g),b(ae)}v(P,g)}function T(S,g,P,E,z,q,V,G){this.gl=S,this._shape=[g|0,P|0],this._destroyed=!1,this._ext=G,this.color=new Array(z);for(var Z=0;Z<z;++Z)this.color[Z]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=E,this._useDepth=q,this._useStencil=V;var j=this,N=[g|0,P|0];Object.defineProperties(N,{0:{get:function(){return j._shape[0]},set:function(H){return j.width=H}},1:{get:function(){return j._shape[1]},set:function(H){return j.height=H}}}),this._shapeVector=N,M(this)}var L=T.prototype;function x(S,g,P){if(S._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(!(S._shape[0]===g&&S._shape[1]===P)){var E=S.gl,z=E.getParameter(E.MAX_RENDERBUFFER_SIZE);if(g<0||g>z||P<0||P>z)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");S._shape[0]=g,S._shape[1]=P;for(var q=d(E),V=0;V<S.color.length;++V)S.color[V].shape=S._shape;S._color_rb&&(E.bindRenderbuffer(E.RENDERBUFFER,S._color_rb),E.renderbufferStorage(E.RENDERBUFFER,E.RGBA4,S._shape[0],S._shape[1])),S.depth&&(S.depth.shape=S._shape),S._depth_rb&&(E.bindRenderbuffer(E.RENDERBUFFER,S._depth_rb),S._useDepth&&S._useStencil?E.renderbufferStorage(E.RENDERBUFFER,E.DEPTH_STENCIL,S._shape[0],S._shape[1]):S._useDepth?E.renderbufferStorage(E.RENDERBUFFER,E.DEPTH_COMPONENT16,S._shape[0],S._shape[1]):S._useStencil&&E.renderbufferStorage(E.RENDERBUFFER,E.STENCIL_INDEX,S._shape[0],S._shape[1])),E.bindFramebuffer(E.FRAMEBUFFER,S.handle);var G=E.checkFramebufferStatus(E.FRAMEBUFFER);G!==E.FRAMEBUFFER_COMPLETE&&(S.dispose(),v(E,q),b(G)),v(E,q)}}Object.defineProperties(L,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(S){if(Array.isArray(S)||(S=[S|0,S|0]),S.length!==2)throw new Error(\"gl-fbo: Shape vector must be length 2\");var g=S[0]|0,P=S[1]|0;return x(this,g,P),[g,P]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(S){return S=S|0,x(this,S,this._shape[1]),S},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(S){return S=S|0,x(this,this._shape[0],S),S},enumerable:!1}}),L.bind=function(){if(!this._destroyed){var S=this.gl;S.bindFramebuffer(S.FRAMEBUFFER,this.handle),S.viewport(0,0,this._shape[0],this._shape[1])}},L.dispose=function(){if(!this._destroyed){this._destroyed=!0;var S=this.gl;S.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(S.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var g=0;g<this.color.length;++g)this.color[g].dispose(),this.color[g]=null;this._color_rb&&(S.deleteRenderbuffer(this._color_rb),this._color_rb=null)}};function C(S,g,P,E){u||(u=S.FRAMEBUFFER_UNSUPPORTED,c=S.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,f=S.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,h=S.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var z=S.getExtension(\"WEBGL_draw_buffers\");if(!l&&z&&m(S,z),Array.isArray(g)&&(E=P,P=g[1]|0,g=g[0]|0),typeof g!=\"number\")throw new Error(\"gl-fbo: Missing shape parameter\");var q=S.getParameter(S.MAX_RENDERBUFFER_SIZE);if(g<0||g>q||P<0||P>q)throw new Error(\"gl-fbo: Parameters are too large for FBO\");E=E||{};var V=1;if(\"color\"in E){if(V=Math.max(E.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(z){if(V>S.getParameter(z.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var G=S.UNSIGNED_BYTE,Z=S.getExtension(\"OES_texture_float\");if(E.float&&V>0){if(!Z)throw new Error(\"gl-fbo: Context does not support floating point textures\");G=S.FLOAT}else E.preferFloat&&V>0&&Z&&(G=S.FLOAT);var j=!0;\"depth\"in E&&(j=!!E.depth);var N=!1;return\"stencil\"in E&&(N=!!E.stencil),new T(S,g,P,G,V,j,N,z)}}),2992:(function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var m=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var p=s(`Error compiling %s shader %s:\n",
+       "`,b,m),k=s(\"%s%s\",p,h),M=h.split(`\n",
+       "`),T={},L=0;L<M.length;L++){var x=M[L];if(!(x===\"\"||x===\"\\0\")){var C=parseInt(x.split(\":\")[2]);if(isNaN(C))throw new Error(s(\"Could not parse error: %s\",x));T[C]=x}}for(var S=c(d).split(`\n",
+       "`),L=0;L<S.length;L++)if(!(!T[L+3]&&!T[L+2]&&!T[L+1])){var g=S[L];if(p+=g+`\n",
+       "`,T[L+1]){var P=T[L+1];P=P.substr(P.split(\":\",3).join(\":\").length+1).trim(),p+=s(`^^^ %s\n",
+       "\n",
+       "`,P)}}return{long:p.trim(),short:k.trim()}}}),7319:(function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, nextPosition;\n",
+       "attribute float arcLength, lineWidth;\n",
+       "attribute vec4 color;\n",
+       "\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float pixelRatio;\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 startPoint = project(position);\n",
+       "  vec4 endPoint   = project(nextPosition);\n",
+       "\n",
+       "  vec2 A = startPoint.xy / startPoint.w;\n",
+       "  vec2 B =   endPoint.xy /   endPoint.w;\n",
+       "\n",
+       "  float clipAngle = atan(\n",
+       "    (B.y - A.y) * screenShape.y,\n",
+       "    (B.x - A.x) * screenShape.x\n",
+       "  );\n",
+       "\n",
+       "  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n",
+       "    sin(clipAngle),\n",
+       "    -cos(clipAngle)\n",
+       "  ) / screenShape;\n",
+       "\n",
+       "  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n",
+       "\n",
+       "  worldPosition = position;\n",
+       "  pixelArcLength = arcLength;\n",
+       "  fragColor = color;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3      clipBounds[2];\n",
+       "uniform sampler2D dashTexture;\n",
+       "uniform float     dashScale;\n",
+       "uniform float     opacity;\n",
+       "\n",
+       "varying vec3    worldPosition;\n",
+       "varying float   pixelArcLength;\n",
+       "varying vec4    fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n",
+       "    fragColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "\n",
+       "  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n",
+       "  if(dashWeight < 0.5) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = fragColor * opacity;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "#define FLOAT_MAX  1.70141184e38\n",
+       "#define FLOAT_MIN  1.17549435e-38\n",
+       "\n",
+       "// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\n",
+       "vec4 packFloat(float v) {\n",
+       "  float av = abs(v);\n",
+       "\n",
+       "  //Handle special cases\n",
+       "  if(av < FLOAT_MIN) {\n",
+       "    return vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else if(v > FLOAT_MAX) {\n",
+       "    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  } else if(v < -FLOAT_MAX) {\n",
+       "    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n",
+       "  }\n",
+       "\n",
+       "  vec4 c = vec4(0,0,0,0);\n",
+       "\n",
+       "  //Compute exponent and mantissa\n",
+       "  float e = floor(log2(av));\n",
+       "  float m = av * pow(2.0, -e) - 1.0;\n",
+       "\n",
+       "  //Unpack mantissa\n",
+       "  c[1] = floor(128.0 * m);\n",
+       "  m -= c[1] / 128.0;\n",
+       "  c[2] = floor(32768.0 * m);\n",
+       "  m -= c[2] / 32768.0;\n",
+       "  c[3] = floor(8388608.0 * m);\n",
+       "\n",
+       "  //Unpack exponent\n",
+       "  float ebias = e + 127.0;\n",
+       "  c[0] = floor(ebias / 2.0);\n",
+       "  ebias -= c[0] * 2.0;\n",
+       "  c[1] += floor(ebias) * 128.0;\n",
+       "\n",
+       "  //Unpack sign bit\n",
+       "  c[0] += 128.0 * step(0.0, -v);\n",
+       "\n",
+       "  //Scale back to range\n",
+       "  return c / 255.0;\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform float pickId;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 worldPosition;\n",
+       "varying float pixelArcLength;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n",
+       "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}}),5714:(function(i,a,o){\"use strict\";i.exports=S;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(g,P,E,z){return c[0]=z,c[1]=E,c[2]=P,c[3]=g,f[0]}var d=o(2478),v=o(9618),m=o(7319),b=m.createShader,p=m.createPickShader,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function M(g,P){for(var E=0,z=0;z<3;++z){var q=g[z]-P[z];E+=q*q}return Math.sqrt(E)}function T(g){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],E=0;E<3;++E)P[0][E]=Math.max(g[0][E],P[0][E]),P[1][E]=Math.min(g[1][E],P[1][E]);return P}function L(g,P,E,z){this.arcLength=g,this.position=P,this.index=E,this.dataCoordinate=z}function x(g,P,E,z,q,V){this.gl=g,this.shader=P,this.pickShader=E,this.buffer=z,this.vao=q,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var C=x.prototype;C.isTransparent=function(){return this.hasAlpha},C.isOpaque=function(){return!this.hasAlpha},C.pickSlots=1,C.setPickBase=function(g){this.pickId=g},C.drawTransparent=C.draw=function(g){if(this.vertexCount){var P=this.gl,E=this.shader,z=this.vao;E.bind(),E.uniforms={model:g.model||k,view:g.view||k,projection:g.projection||k,clipBounds:T(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},C.drawPick=function(g){if(this.vertexCount){var P=this.gl,E=this.pickShader,z=this.vao;E.bind(),E.uniforms={model:g.model||k,view:g.view||k,projection:g.projection||k,pickId:this.pickId,clipBounds:T(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},z.bind(),z.draw(P.TRIANGLE_STRIP,this.vertexCount),z.unbind()}},C.update=function(g){var P,E;this.dirty=!0;var z=!!g.connectGaps;\"dashScale\"in g&&(this.dashScale=g.dashScale),this.hasAlpha=!1,\"opacity\"in g&&(this.opacity=+g.opacity,this.opacity<1&&(this.hasAlpha=!0));var q=[],V=[],G=[],Z=0,j=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=g.position||g.positions;if(H){var re=g.color||g.colors||[0,0,0,1],ae=g.lineWidth||1,_e=!1;e:for(P=1;P<H.length;++P){var Ee=H[P-1],Ce=H[P];for(V.push(Z),G.push(Ee.slice()),E=0;E<3;++E){if(isNaN(Ee[E])||isNaN(Ce[E])||!isFinite(Ee[E])||!isFinite(Ce[E])){if(!z&&q.length>0){for(var ge=0;ge<24;++ge)q.push(q[q.length-12]);j+=2,_e=!0}continue e}N[0][E]=Math.min(N[0][E],Ee[E],Ce[E]),N[1][E]=Math.max(N[1][E],Ee[E],Ce[E])}var ie,Se;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Se=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Se=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Se.length===3&&(Se=[Se[0],Se[1],Se[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var ke;Array.isArray(ae)?ke=ae.length>P-1?ae[P-1]:ae.length>0?ae[ae.length-1]:[0,0,0,1]:ke=ae;var be=Z;if(Z+=M(Ee,Ce),_e){for(E=0;E<2;++E)q.push(Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,ke,ie[0],ie[1],ie[2],ie[3]);j+=2,_e=!1}q.push(Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,ke,ie[0],ie[1],ie[2],ie[3],Ee[0],Ee[1],Ee[2],Ce[0],Ce[1],Ce[2],be,-ke,ie[0],ie[1],ie[2],ie[3],Ce[0],Ce[1],Ce[2],Ee[0],Ee[1],Ee[2],Z,-ke,Se[0],Se[1],Se[2],Se[3],Ce[0],Ce[1],Ce[2],Ee[0],Ee[1],Ee[2],Z,ke,Se[0],Se[1],Se[2],Se[3]),j+=4}}if(this.buffer.update(q),V.push(Z),G.push(H[H.length-1].slice()),this.bounds=N,this.vertexCount=j,this.points=G,this.arcLength=V,\"dashes\"in g){var Be=g.dashes,Le=Be.slice();for(Le.unshift(0),P=1;P<Le.length;++P)Le[P]=Le[P-1]+Le[P];var me=v(new Array(256*4),[256,1,4]);for(P=0;P<256;++P){for(E=0;E<4;++E)me.set(P,0,E,0);d.le(Le,Le[Le.length-1]*P/255)&1?me.set(P,0,0,0):me.set(P,0,0,255)}this.texture.setPixels(me)}},C.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},C.pick=function(g){if(!g||g.id!==this.pickId)return null;var P=h(g.value[0],g.value[1],g.value[2],0),E=d.le(this.arcLength,P);if(E<0)return null;if(E===this.arcLength.length-1)return new L(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),E);for(var z=this.points[E],q=this.points[Math.min(E+1,this.points.length-1)],V=(P-this.arcLength[E])/(this.arcLength[E+1]-this.arcLength[E]),G=1-V,Z=[0,0,0],j=0;j<3;++j)Z[j]=G*z[j]+V*q[j];var N=Math.min(V<.5?E:E+1,this.points.length-1);return new L(P,Z,N,this.points[N])};function S(g){var P=g.gl||g.scene&&g.scene.gl,E=b(P);E.attributes.position.location=0,E.attributes.nextPosition.location=1,E.attributes.arcLength.location=2,E.attributes.lineWidth.location=3,E.attributes.color.location=4;var z=p(P);z.attributes.position.location=0,z.attributes.nextPosition.location=1,z.attributes.arcLength.location=2,z.attributes.lineWidth.location=3,z.attributes.color.location=4;for(var q=s(P),V=l(P,[{buffer:q,size:3,offset:0,stride:48},{buffer:q,size:3,offset:12,stride:48},{buffer:q,size:1,offset:24,stride:48},{buffer:q,size:1,offset:28,stride:48},{buffer:q,size:4,offset:32,stride:48}]),G=v(new Array(256*4),[256,1,4]),Z=0;Z<1024;++Z)G.data[Z]=255;var j=u(P,G);j.wrap=P.REPEAT;var N=new x(P,E,z,q,V,j);return N.update(g),N}}),1903:(function(i){i.exports=a;function a(o){var s=new Float32Array(16);return s[0]=o[0],s[1]=o[1],s[2]=o[2],s[3]=o[3],s[4]=o[4],s[5]=o[5],s[6]=o[6],s[7]=o[7],s[8]=o[8],s[9]=o[9],s[10]=o[10],s[11]=o[11],s[12]=o[12],s[13]=o[13],s[14]=o[14],s[15]=o[15],s}}),6864:(function(i){i.exports=a;function a(){var o=new Float32Array(16);return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),9921:(function(i){i.exports=a;function a(o){var s=o[0],l=o[1],u=o[2],c=o[3],f=o[4],h=o[5],d=o[6],v=o[7],m=o[8],b=o[9],p=o[10],k=o[11],M=o[12],T=o[13],L=o[14],x=o[15],C=s*h-l*f,S=s*d-u*f,g=s*v-c*f,P=l*d-u*h,E=l*v-c*h,z=u*v-c*d,q=m*T-b*M,V=m*L-p*M,G=m*x-k*M,Z=b*L-p*T,j=b*x-k*T,N=p*x-k*L;return C*N-S*j+g*Z+P*G-E*V+z*q}}),7399:(function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=l+l,d=u+u,v=c+c,m=l*h,b=u*h,p=u*d,k=c*h,M=c*d,T=c*v,L=f*h,x=f*d,C=f*v;return o[0]=1-p-T,o[1]=b+C,o[2]=k-x,o[3]=0,o[4]=b-C,o[5]=1-m-T,o[6]=M+L,o[7]=0,o[8]=k+x,o[9]=M-L,o[10]=1-m-p,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),6743:(function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=u+u,v=c+c,m=f+f,b=u*d,p=u*v,k=u*m,M=c*v,T=c*m,L=f*m,x=h*d,C=h*v,S=h*m;return o[0]=1-(M+L),o[1]=p+S,o[2]=k-C,o[3]=0,o[4]=p-S,o[5]=1-(b+L),o[6]=T+x,o[7]=0,o[8]=k+C,o[9]=T-x,o[10]=1-(b+M),o[11]=0,o[12]=l[0],o[13]=l[1],o[14]=l[2],o[15]=1,o}}),7894:(function(i){i.exports=a;function a(o){return o[0]=1,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=1,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=1,o[11]=0,o[12]=0,o[13]=0,o[14]=0,o[15]=1,o}}),7608:(function(i){i.exports=a;function a(o,s){var l=s[0],u=s[1],c=s[2],f=s[3],h=s[4],d=s[5],v=s[6],m=s[7],b=s[8],p=s[9],k=s[10],M=s[11],T=s[12],L=s[13],x=s[14],C=s[15],S=l*d-u*h,g=l*v-c*h,P=l*m-f*h,E=u*v-c*d,z=u*m-f*d,q=c*m-f*v,V=b*L-p*T,G=b*x-k*T,Z=b*C-M*T,j=p*x-k*L,N=p*C-M*L,H=k*C-M*x,re=S*H-g*N+P*j+E*Z-z*G+q*V;return re?(re=1/re,o[0]=(d*H-v*N+m*j)*re,o[1]=(c*N-u*H-f*j)*re,o[2]=(L*q-x*z+C*E)*re,o[3]=(k*z-p*q-M*E)*re,o[4]=(v*Z-h*H-m*G)*re,o[5]=(l*H-c*Z+f*G)*re,o[6]=(x*P-T*q-C*g)*re,o[7]=(b*q-k*P+M*g)*re,o[8]=(h*N-d*Z+m*V)*re,o[9]=(u*Z-l*N-f*V)*re,o[10]=(T*z-L*P+C*S)*re,o[11]=(p*P-b*z-M*S)*re,o[12]=(d*G-h*j-v*V)*re,o[13]=(l*j-u*G+c*V)*re,o[14]=(L*g-T*E-x*S)*re,o[15]=(b*E-p*g+k*S)*re,o):null}}),6582:(function(i,a,o){var s=o(7894);i.exports=l;function l(u,c,f,h){var d,v,m,b,p,k,M,T,L,x,C=c[0],S=c[1],g=c[2],P=h[0],E=h[1],z=h[2],q=f[0],V=f[1],G=f[2];return Math.abs(C-q)<1e-6&&Math.abs(S-V)<1e-6&&Math.abs(g-G)<1e-6?s(u):(M=C-q,T=S-V,L=g-G,x=1/Math.sqrt(M*M+T*T+L*L),M*=x,T*=x,L*=x,d=E*L-z*T,v=z*M-P*L,m=P*T-E*M,x=Math.sqrt(d*d+v*v+m*m),x?(x=1/x,d*=x,v*=x,m*=x):(d=0,v=0,m=0),b=T*m-L*v,p=L*d-M*m,k=M*v-T*d,x=Math.sqrt(b*b+p*p+k*k),x?(x=1/x,b*=x,p*=x,k*=x):(b=0,p=0,k=0),u[0]=d,u[1]=b,u[2]=M,u[3]=0,u[4]=v,u[5]=p,u[6]=T,u[7]=0,u[8]=m,u[9]=k,u[10]=L,u[11]=0,u[12]=-(d*C+v*S+m*g),u[13]=-(b*C+p*S+k*g),u[14]=-(M*C+T*S+L*g),u[15]=1,u)}}),6760:(function(i){i.exports=a;function a(o,s,l){var u=s[0],c=s[1],f=s[2],h=s[3],d=s[4],v=s[5],m=s[6],b=s[7],p=s[8],k=s[9],M=s[10],T=s[11],L=s[12],x=s[13],C=s[14],S=s[15],g=l[0],P=l[1],E=l[2],z=l[3];return o[0]=g*u+P*d+E*p+z*L,o[1]=g*c+P*v+E*k+z*x,o[2]=g*f+P*m+E*M+z*C,o[3]=g*h+P*b+E*T+z*S,g=l[4],P=l[5],E=l[6],z=l[7],o[4]=g*u+P*d+E*p+z*L,o[5]=g*c+P*v+E*k+z*x,o[6]=g*f+P*m+E*M+z*C,o[7]=g*h+P*b+E*T+z*S,g=l[8],P=l[9],E=l[10],z=l[11],o[8]=g*u+P*d+E*p+z*L,o[9]=g*c+P*v+E*k+z*x,o[10]=g*f+P*m+E*M+z*C,o[11]=g*h+P*b+E*T+z*S,g=l[12],P=l[13],E=l[14],z=l[15],o[12]=g*u+P*d+E*p+z*L,o[13]=g*c+P*v+E*k+z*x,o[14]=g*f+P*m+E*M+z*C,o[15]=g*h+P*b+E*T+z*S,o}}),4040:(function(i){i.exports=a;function a(o,s,l,u,c,f,h){var d=1/(s-l),v=1/(u-c),m=1/(f-h);return o[0]=-2*d,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=-2*v,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=2*m,o[11]=0,o[12]=(s+l)*d,o[13]=(c+u)*v,o[14]=(h+f)*m,o[15]=1,o}}),4772:(function(i){i.exports=a;function a(o,s,l,u,c){var f=1/Math.tan(s/2),h=1/(u-c);return o[0]=f/l,o[1]=0,o[2]=0,o[3]=0,o[4]=0,o[5]=f,o[6]=0,o[7]=0,o[8]=0,o[9]=0,o[10]=(c+u)*h,o[11]=-1,o[12]=0,o[13]=0,o[14]=2*c*u*h,o[15]=0,o}}),6079:(function(i){i.exports=a;function a(o,s,l,u){var c=u[0],f=u[1],h=u[2],d=Math.sqrt(c*c+f*f+h*h),v,m,b,p,k,M,T,L,x,C,S,g,P,E,z,q,V,G,Z,j,N,H,re,ae;return Math.abs(d)<1e-6?null:(d=1/d,c*=d,f*=d,h*=d,v=Math.sin(l),m=Math.cos(l),b=1-m,p=s[0],k=s[1],M=s[2],T=s[3],L=s[4],x=s[5],C=s[6],S=s[7],g=s[8],P=s[9],E=s[10],z=s[11],q=c*c*b+m,V=f*c*b+h*v,G=h*c*b-f*v,Z=c*f*b-h*v,j=f*f*b+m,N=h*f*b+c*v,H=c*h*b+f*v,re=f*h*b-c*v,ae=h*h*b+m,o[0]=p*q+L*V+g*G,o[1]=k*q+x*V+P*G,o[2]=M*q+C*V+E*G,o[3]=T*q+S*V+z*G,o[4]=p*Z+L*j+g*N,o[5]=k*Z+x*j+P*N,o[6]=M*Z+C*j+E*N,o[7]=T*Z+S*j+z*N,o[8]=p*H+L*re+g*ae,o[9]=k*H+x*re+P*ae,o[10]=M*H+C*re+E*ae,o[11]=T*H+S*re+z*ae,s!==o&&(o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o)}}),5567:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[4],h=s[5],d=s[6],v=s[7],m=s[8],b=s[9],p=s[10],k=s[11];return s!==o&&(o[0]=s[0],o[1]=s[1],o[2]=s[2],o[3]=s[3],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[4]=f*c+m*u,o[5]=h*c+b*u,o[6]=d*c+p*u,o[7]=v*c+k*u,o[8]=m*c-f*u,o[9]=b*c-h*u,o[10]=p*c-d*u,o[11]=k*c-v*u,o}}),2408:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],m=s[8],b=s[9],p=s[10],k=s[11];return s!==o&&(o[4]=s[4],o[5]=s[5],o[6]=s[6],o[7]=s[7],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c-m*u,o[1]=h*c-b*u,o[2]=d*c-p*u,o[3]=v*c-k*u,o[8]=f*u+m*c,o[9]=h*u+b*c,o[10]=d*u+p*c,o[11]=v*u+k*c,o}}),7089:(function(i){i.exports=a;function a(o,s,l){var u=Math.sin(l),c=Math.cos(l),f=s[0],h=s[1],d=s[2],v=s[3],m=s[4],b=s[5],p=s[6],k=s[7];return s!==o&&(o[8]=s[8],o[9]=s[9],o[10]=s[10],o[11]=s[11],o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15]),o[0]=f*c+m*u,o[1]=h*c+b*u,o[2]=d*c+p*u,o[3]=v*c+k*u,o[4]=m*c-f*u,o[5]=b*c-h*u,o[6]=p*c-d*u,o[7]=k*c-v*u,o}}),2504:(function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2];return o[0]=s[0]*u,o[1]=s[1]*u,o[2]=s[2]*u,o[3]=s[3]*u,o[4]=s[4]*c,o[5]=s[5]*c,o[6]=s[6]*c,o[7]=s[7]*c,o[8]=s[8]*f,o[9]=s[9]*f,o[10]=s[10]*f,o[11]=s[11]*f,o[12]=s[12],o[13]=s[13],o[14]=s[14],o[15]=s[15],o}}),7656:(function(i){i.exports=a;function a(o,s,l){var u=l[0],c=l[1],f=l[2],h,d,v,m,b,p,k,M,T,L,x,C;return s===o?(o[12]=s[0]*u+s[4]*c+s[8]*f+s[12],o[13]=s[1]*u+s[5]*c+s[9]*f+s[13],o[14]=s[2]*u+s[6]*c+s[10]*f+s[14],o[15]=s[3]*u+s[7]*c+s[11]*f+s[15]):(h=s[0],d=s[1],v=s[2],m=s[3],b=s[4],p=s[5],k=s[6],M=s[7],T=s[8],L=s[9],x=s[10],C=s[11],o[0]=h,o[1]=d,o[2]=v,o[3]=m,o[4]=b,o[5]=p,o[6]=k,o[7]=M,o[8]=T,o[9]=L,o[10]=x,o[11]=C,o[12]=h*u+b*c+T*f+s[12],o[13]=d*u+p*c+L*f+s[13],o[14]=v*u+k*c+x*f+s[14],o[15]=m*u+M*c+C*f+s[15]),o}}),5665:(function(i){i.exports=a;function a(o,s){if(o===s){var l=s[1],u=s[2],c=s[3],f=s[6],h=s[7],d=s[11];o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=l,o[6]=s[9],o[7]=s[13],o[8]=u,o[9]=f,o[11]=s[14],o[12]=c,o[13]=h,o[14]=d}else o[0]=s[0],o[1]=s[4],o[2]=s[8],o[3]=s[12],o[4]=s[1],o[5]=s[5],o[6]=s[9],o[7]=s[13],o[8]=s[2],o[9]=s[6],o[10]=s[10],o[11]=s[14],o[12]=s[3],o[13]=s[7],o[14]=s[11],o[15]=s[15];return o}}),7626:(function(i,a,o){\"use strict\";var s=o(2642),l=o(9346);i.exports=d;function u(v,m){for(var b=[0,0,0,0],p=0;p<4;++p)for(var k=0;k<4;++k)b[k]+=v[4*p+k]*m[p];return b}function c(v,m,b,p,k){for(var M=u(p,u(b,u(m,[v[0],v[1],v[2],1]))),T=0;T<3;++T)M[T]/=M[3];return[.5*k[0]*(1+M[0]),.5*k[1]*(1-M[1])]}function f(v,m){if(v.length===2){for(var b=0,p=0,k=0;k<2;++k)b+=Math.pow(m[k]-v[0][k],2),p+=Math.pow(m[k]-v[1][k],2);return b=Math.sqrt(b),p=Math.sqrt(p),b+p<1e-6?[1,0]:[p/(b+p),b/(p+b)]}else if(v.length===3){var M=[0,0];return l(v[0],v[1],v[2],m,M),s(v,M)}return[]}function h(v,m){for(var b=[0,0,0],p=0;p<v.length;++p)for(var k=v[p],M=m[p],T=0;T<3;++T)b[T]+=M*k[T];return b}function d(v,m,b,p,k,M){if(v.length===1)return[0,v[0].slice()];for(var T=new Array(v.length),L=0;L<v.length;++L)T[L]=c(v[L],b,p,k,M);for(var x=0,C=1/0,L=0;L<T.length;++L){for(var S=0,g=0;g<2;++g)S+=Math.pow(T[L][g]-m[g],2);S<C&&(C=S,x=L)}for(var P=f(T,m),E=0,L=0;L<3;++L){if(P[L]<-.001||P[L]>1.0001)return null;E+=P[L]}return Math.abs(E-1)>.001?null:[x,h(v,P),P]}}),840:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, normal;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model\n",
+       "           , view\n",
+       "           , projection\n",
+       "           , inverseModel;\n",
+       "uniform vec3 eyePosition\n",
+       "           , lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "vec4 project(vec3 p) {\n",
+       "  return projection * (view * (model * vec4(p, 1.0)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position      = project(position);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * vec4(position , 1.0);\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = position;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness\n",
+       "            , fresnel\n",
+       "            , kambient\n",
+       "            , kdiffuse\n",
+       "            , kspecular;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal\n",
+       "           , f_lightDirection\n",
+       "           , f_eyeDirection\n",
+       "           , f_data;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (f_color.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], f_data)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n",
+       "\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * f_color.a;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_color = color;\n",
+       "  f_data  = position;\n",
+       "  f_uv    = uv;\n",
+       "}`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec3 f_data;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n",
+       "\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),h=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 uv;\n",
+       "attribute float pointSize;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n",
+       "  } else {\n",
+       "    gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  }\n",
+       "  gl_PointSize = pointSize;\n",
+       "  f_color = color;\n",
+       "  f_uv = uv;\n",
+       "}`]),d=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D texture;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n",
+       "  if(dot(pointR, pointR) > 0.25) {\n",
+       "    discard;\n",
+       "  }\n",
+       "  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n",
+       "}`]),v=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "  f_id        = id;\n",
+       "  f_position  = position;\n",
+       "}`]),m=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]),b=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3  position;\n",
+       "attribute float pointSize;\n",
+       "attribute vec4  id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n",
+       "  } else {\n",
+       "    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\n",
+       "    gl_PointSize = pointSize;\n",
+       "  }\n",
+       "  f_id         = id;\n",
+       "  f_position   = position;\n",
+       "}`]),p=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_Position = projection * (view * (model * vec4(position, 1.0)));\n",
+       "}`]),k=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform vec3 contourColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = vec4(contourColor, 1.0);\n",
+       "}\n",
+       "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:m,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:m,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:p,fragment:k,attributes:[{name:\"position\",type:\"vec3\"}]}}),7201:(function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),m=o(7608),b=o(9618),p=o(6729),k=o(7765),M=o(1888),T=o(840),L=o(7626),x=T.meshShader,C=T.wireShader,S=T.pointShader,g=T.pickShader,P=T.pointPickShader,E=T.contourShader,z=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function q(ge,ie,Se,ke,be,Be,Le,me,Pe,ce,He,lt,mt,Ht,at,ct,ar,Vt,rr,tt,je,Ue,Ae,rt,St,Tt,dt){this.gl=ge,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Se,this.lineShader=ke,this.pointShader=be,this.pickShader=Be,this.pointPickShader=Le,this.contourShader=me,this.trianglePositions=Pe,this.triangleColors=He,this.triangleNormals=mt,this.triangleUVs=lt,this.triangleIds=ce,this.triangleVAO=Ht,this.triangleCount=0,this.lineWidth=1,this.edgePositions=at,this.edgeColors=ar,this.edgeUVs=Vt,this.edgeIds=ct,this.edgeVAO=rr,this.edgeCount=0,this.pointPositions=tt,this.pointColors=Ue,this.pointUVs=Ae,this.pointSizes=rt,this.pointIds=je,this.pointVAO=St,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Tt,this.contourVAO=dt,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=z,this._view=z,this._projection=z,this._resolution=[1,1]}var V=q.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(ge){this.pickId=ge};function G(ge,ie){if(!ie||!ie.length)return 1;for(var Se=0;Se<ie.length;++Se){if(ie.length<2)return 1;if(ie[Se][0]===ge)return ie[Se][1];if(ie[Se][0]>ge&&Se>0){var ke=(ie[Se][0]-ge)/(ie[Se][0]-ie[Se-1][0]);return ie[Se][1]*(1-ke)+ke*ie[Se-1][1]}}return 1}function Z(ge,ie){for(var Se=p({colormap:ge,nshades:256,format:\"rgba\"}),ke=new Uint8Array(256*4),be=0;be<256;++be){for(var Be=Se[be],Le=0;Le<3;++Le)ke[4*be+Le]=Be[Le];ie?ke[4*be+3]=255*G(be/255,ie):ke[4*be+3]=255*Be[3]}return b(ke,[256,256,4],[4,0,1])}function j(ge){for(var ie=ge.length,Se=new Array(ie),ke=0;ke<ie;++ke)Se[ke]=ge[ke][2];return Se}V.highlight=function(ge){if(!ge||!this.contourEnable){this.contourCount=0;return}for(var ie=k(this.cells,this.intensity,ge.intensity),Se=ie.cells,ke=ie.vertexIds,be=ie.vertexWeights,Be=Se.length,Le=M.mallocFloat32(6*Be),me=0,Pe=0;Pe<Be;++Pe)for(var ce=Se[Pe],He=0;He<2;++He){var lt=ce[0];ce.length===2&&(lt=ce[He]);for(var mt=ke[lt][0],Ht=ke[lt][1],at=be[lt],ct=1-at,ar=this.positions[mt],Vt=this.positions[Ht],rr=0;rr<3;++rr)Le[me++]=at*ar[rr]+ct*Vt[rr]}this.contourCount=me/3|0,this.contourPositions.update(Le.subarray(0,me)),M.free(Le)},V.update=function(ge){ge=ge||{};var ie=this.gl;this.dirty=!0,\"contourEnable\"in ge&&(this.contourEnable=ge.contourEnable),\"contourColor\"in ge&&(this.contourColor=ge.contourColor),\"lineWidth\"in ge&&(this.lineWidth=ge.lineWidth),\"lightPosition\"in ge&&(this.lightPosition=ge.lightPosition),this.hasAlpha=!1,\"opacity\"in ge&&(this.opacity=ge.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in ge&&(this.opacityscale=ge.opacityscale,this.hasAlpha=!0),\"ambient\"in ge&&(this.ambientLight=ge.ambient),\"diffuse\"in ge&&(this.diffuseLight=ge.diffuse),\"specular\"in ge&&(this.specularLight=ge.specular),\"roughness\"in ge&&(this.roughness=ge.roughness),\"fresnel\"in ge&&(this.fresnel=ge.fresnel),ge.texture?(this.texture.dispose(),this.texture=h(ie,ge.texture)):ge.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=ie.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=ie.LINEAR,this.texture.setPixels(Z(ge.colormap,this.opacityscale)),this.texture.generateMipmap());var Se=ge.cells,ke=ge.positions;if(!(!ke||!Se)){var be=[],Be=[],Le=[],me=[],Pe=[],ce=[],He=[],lt=[],mt=[],Ht=[],at=[],ct=[],ar=[],Vt=[];this.cells=Se,this.positions=ke;var rr=ge.vertexNormals,tt=ge.cellNormals,je=ge.vertexNormalsEpsilon===void 0?s:ge.vertexNormalsEpsilon,Ue=ge.faceNormalsEpsilon===void 0?l:ge.faceNormalsEpsilon;ge.useFacetNormals&&!tt&&(tt=d.faceNormals(Se,ke,Ue)),!tt&&!rr&&(rr=d.vertexNormals(Se,ke,je));var Ae=ge.vertexColors,rt=ge.cellColors,St=ge.meshColor||[1,1,1,1],Tt=ge.vertexUVs,dt=ge.vertexIntensity,Et=ge.cellUVs,pt=ge.cellIntensity,jt=1/0,or=-1/0;if(!Tt&&!Et)if(dt)if(ge.vertexIntensityBounds)jt=+ge.vertexIntensityBounds[0],or=+ge.vertexIntensityBounds[1];else for(var mr=0;mr<dt.length;++mr){var Ar=dt[mr];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}else if(pt)if(ge.cellIntensityBounds)jt=+ge.cellIntensityBounds[0],or=+ge.cellIntensityBounds[1];else for(var mr=0;mr<pt.length;++mr){var Ar=pt[mr];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}else for(var mr=0;mr<ke.length;++mr){var Ar=ke[mr][2];jt=Math.min(jt,Ar),or=Math.max(or,Ar)}dt?this.intensity=dt:pt?this.intensity=pt:this.intensity=j(ke),this.pickVertex=!(pt||rt);var ei=ge.pointSizes,qr=ge.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var mr=0;mr<ke.length;++mr)for(var jr=ke[mr],gt=0;gt<3;++gt)isNaN(jr[gt])||!isFinite(jr[gt])||(this.bounds[0][gt]=Math.min(this.bounds[0][gt],jr[gt]),this.bounds[1][gt]=Math.max(this.bounds[1][gt],jr[gt]));var Ge=0,Je=0,We=0;e:for(var mr=0;mr<Se.length;++mr){var et=Se[mr];switch(et.length){case 1:for(var xt=et[0],jr=ke[xt],gt=0;gt<3;++gt)if(isNaN(jr[gt])||!isFinite(jr[gt]))continue e;Ht.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?at.push(At[0],At[1],At[2],this.opacity):(at.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0));var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],ct.push(Kt[0],Kt[1]),ei?ar.push(ei[xt]):ar.push(qr),Vt.push(mr),We+=1;break;case 2:for(var gt=0;gt<2;++gt)for(var xt=et[gt],jr=ke[xt],Qt=0;Qt<3;++Qt)if(isNaN(jr[Qt])||!isFinite(jr[Qt]))continue e;for(var gt=0;gt<2;++gt){var xt=et[gt],jr=ke[xt];ce.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?He.push(At[0],At[1],At[2],this.opacity):(He.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0));var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],lt.push(Kt[0],Kt[1]),mt.push(mr)}Je+=1;break;case 3:for(var gt=0;gt<3;++gt)for(var xt=et[gt],jr=ke[xt],Qt=0;Qt<3;++Qt)if(isNaN(jr[Qt])||!isFinite(jr[Qt]))continue e;for(var gt=0;gt<3;++gt){var xt=et[2-gt],jr=ke[xt];be.push(jr[0],jr[1],jr[2]);var At;Ae?At=Ae[xt]:rt?At=rt[mr]:At=St,At?this.opacityscale&&dt?Be.push(At[0],At[1],At[2],this.opacity*G((dt[xt]-jt)/(or-jt),this.opacityscale)):At.length===3?Be.push(At[0],At[1],At[2],this.opacity):(Be.push(At[0],At[1],At[2],At[3]*this.opacity),At[3]<1&&(this.hasAlpha=!0)):Be.push(.5,.5,.5,1);var Kt;Tt?Kt=Tt[xt]:dt?Kt=[(dt[xt]-jt)/(or-jt),0]:Et?Kt=Et[mr]:pt?Kt=[(pt[mr]-jt)/(or-jt),0]:Kt=[(jr[2]-jt)/(or-jt),0],me.push(Kt[0],Kt[1]);var Mr;rr?Mr=rr[xt]:Mr=tt[mr],Le.push(Mr[0],Mr[1],Mr[2]),Pe.push(mr)}Ge+=1;break;default:break}}this.pointCount=We,this.edgeCount=Je,this.triangleCount=Ge,this.pointPositions.update(Ht),this.pointColors.update(at),this.pointUVs.update(ct),this.pointSizes.update(ar),this.pointIds.update(new Uint32Array(Vt)),this.edgePositions.update(ce),this.edgeColors.update(He),this.edgeUVs.update(lt),this.edgeIds.update(new Uint32Array(mt)),this.trianglePositions.update(be),this.triangleColors.update(Be),this.triangleUVs.update(me),this.triangleNormals.update(Le),this.triangleIds.update(new Uint32Array(Pe))}},V.drawTransparent=V.draw=function(ge){ge=ge||{};for(var ie=this.gl,Se=ge.model||z,ke=ge.view||z,be=ge.projection||z,Be=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Le=0;Le<3;++Le)Be[0][Le]=Math.max(Be[0][Le],this.clipBounds[0][Le]),Be[1][Le]=Math.min(Be[1][Le],this.clipBounds[1][Le]);var me={model:Se,view:ke,projection:be,inverseModel:z.slice(),clipBounds:Be,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};me.inverseModel=m(me.inverseModel,me.model),ie.disable(ie.CULL_FACE),this.texture.bind(0);var Pe=new Array(16);v(Pe,me.view,me.model),v(Pe,me.projection,Pe),m(Pe,Pe);for(var Le=0;Le<3;++Le)me.eyePosition[Le]=Pe[12+Le]/Pe[15];for(var ce=Pe[15],Le=0;Le<3;++Le)ce+=this.lightPosition[Le]*Pe[4*Le+3];for(var Le=0;Le<3;++Le){for(var He=Pe[12+Le],lt=0;lt<3;++lt)He+=Pe[4*lt+Le]*this.lightPosition[lt];me.lightPosition[Le]=He/ce}if(this.triangleCount>0){var mt=this.triShader;mt.bind(),mt.uniforms=me,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var mt=this.lineShader;mt.bind(),mt.uniforms=me,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var mt=this.pointShader;mt.bind(),mt.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var mt=this.contourShader;mt.bind(),mt.uniforms=me,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(ge){ge=ge||{};for(var ie=this.gl,Se=ge.model||z,ke=ge.view||z,be=ge.projection||z,Be=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Le=0;Le<3;++Le)Be[0][Le]=Math.max(Be[0][Le],this.clipBounds[0][Le]),Be[1][Le]=Math.min(Be[1][Le],this.clipBounds[1][Le]);this._model=[].slice.call(Se),this._view=[].slice.call(ke),this._projection=[].slice.call(be),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var me={model:Se,view:ke,projection:be,clipBounds:Be,pickId:this.pickId/255},Pe=this.pickShader;if(Pe.bind(),Pe.uniforms=me,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Pe=this.pointPickShader;Pe.bind(),Pe.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(ge){if(!ge||ge.id!==this.pickId)return null;for(var ie=ge.value[0]+256*ge.value[1]+65536*ge.value[2],Se=this.cells[ie],ke=this.positions,be=new Array(Se.length),Be=0;Be<Se.length;++Be)be[Be]=ke[Se[Be]];var Le=ge.coord[0],me=ge.coord[1];if(!this.pickVertex){var Pe=this.positions[Se[0]],ce=this.positions[Se[1]],He=this.positions[Se[2]],lt=[(Pe[0]+ce[0]+He[0])/3,(Pe[1]+ce[1]+He[1])/3,(Pe[2]+ce[2]+He[2])/3];return{_cellCenter:!0,position:[Le,me],index:ie,cell:Se,cellId:ie,intensity:this.intensity[ie],dataCoordinate:lt}}var mt=L(be,[Le*this.pixelRatio,this._resolution[1]-me*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!mt)return null;for(var Ht=mt[2],at=0,Be=0;Be<Se.length;++Be)at+=Ht[Be]*this.intensity[Se[Be]];return{position:mt[1],index:Se[mt[0]],cell:Se,cellId:ie,intensity:at,dataCoordinate:this.positions[Se[mt[0]]]}},V.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()};function N(ge){var ie=u(ge,x.vertex,x.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.normal.location=4,ie}function H(ge){var ie=u(ge,C.vertex,C.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie}function re(ge){var ie=u(ge,S.vertex,S.fragment);return ie.attributes.position.location=0,ie.attributes.color.location=2,ie.attributes.uv.location=3,ie.attributes.pointSize.location=4,ie}function ae(ge){var ie=u(ge,g.vertex,g.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie}function _e(ge){var ie=u(ge,P.vertex,P.fragment);return ie.attributes.position.location=0,ie.attributes.id.location=1,ie.attributes.pointSize.location=4,ie}function Ee(ge){var ie=u(ge,E.vertex,E.fragment);return ie.attributes.position.location=0,ie}function Ce(ge,ie){arguments.length===1&&(ie=ge,ge=ie.gl);var Se=ge.getExtension(\"OES_standard_derivatives\")||ge.getExtension(\"MOZ_OES_standard_derivatives\")||ge.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!Se)throw new Error(\"derivatives not supported\");var ke=N(ge),be=H(ge),Be=re(ge),Le=ae(ge),me=_e(ge),Pe=Ee(ge),ce=h(ge,b(new Uint8Array([255,255,255,255]),[1,1,4]));ce.generateMipmap(),ce.minFilter=ge.LINEAR_MIPMAP_LINEAR,ce.magFilter=ge.LINEAR;var He=c(ge),lt=c(ge),mt=c(ge),Ht=c(ge),at=c(ge),ct=f(ge,[{buffer:He,type:ge.FLOAT,size:3},{buffer:at,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:lt,type:ge.FLOAT,size:4},{buffer:mt,type:ge.FLOAT,size:2},{buffer:Ht,type:ge.FLOAT,size:3}]),ar=c(ge),Vt=c(ge),rr=c(ge),tt=c(ge),je=f(ge,[{buffer:ar,type:ge.FLOAT,size:3},{buffer:tt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Vt,type:ge.FLOAT,size:4},{buffer:rr,type:ge.FLOAT,size:2}]),Ue=c(ge),Ae=c(ge),rt=c(ge),St=c(ge),Tt=c(ge),dt=f(ge,[{buffer:Ue,type:ge.FLOAT,size:3},{buffer:Tt,type:ge.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:Ae,type:ge.FLOAT,size:4},{buffer:rt,type:ge.FLOAT,size:2},{buffer:St,type:ge.FLOAT,size:1}]),Et=c(ge),pt=f(ge,[{buffer:Et,type:ge.FLOAT,size:3}]),jt=new q(ge,ce,ke,be,Be,Le,me,Pe,He,at,lt,mt,Ht,ct,ar,tt,Vt,rr,je,Ue,Tt,Ae,rt,St,dt,Et,pt);return jt.update(ie),jt}i.exports=Ce}),4437:(function(i,a,o){\"use strict\";i.exports=d;var s=o(3025),l=o(6296),u=o(351),c=o(8512),f=o(24),h=o(7520);function d(v,m){v=v||document.body,m=m||{};var b=[.01,1/0];\"distanceLimits\"in m&&(b[0]=m.distanceLimits[0],b[1]=m.distanceLimits[1]),\"zoomMin\"in m&&(b[0]=m.zoomMin),\"zoomMax\"in m&&(b[1]=m.zoomMax);var p=l({center:m.center||[0,0,0],up:m.up||[0,1,0],eye:m.eye||[0,0,10],mode:m.mode||\"orbit\",distanceLimits:b}),k=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],M=0,T=v.clientWidth,L=v.clientHeight,x={keyBindingMode:\"rotate\",enableWheel:!0,view:p,element:v,delay:m.delay||16,rotateSpeed:m.rotateSpeed||1,zoomSpeed:m.zoomSpeed||1,translateSpeed:m.translateSpeed||1,flipX:!!m.flipX,flipY:!!m.flipY,modes:p.modes,_ortho:m._ortho||m.projection&&m.projection.type===\"orthographic\"||!1,tick:function(){var C=s(),S=this.delay,g=C-2*S;p.idle(C-S),p.recalcMatrix(g),p.flush(C-(100+S*2));for(var P=!0,E=p.computedMatrix,z=0;z<16;++z)P=P&&k[z]===E[z],k[z]=E[z];var q=v.clientWidth===T&&v.clientHeight===L;return T=v.clientWidth,L=v.clientHeight,P?!q:(M=Math.exp(p.computedRadius[0]),!0)},lookAt:function(C,S,g){p.lookAt(p.lastT(),C,S,g)},rotate:function(C,S,g){p.rotate(p.lastT(),C,S,g)},pan:function(C,S,g){p.pan(p.lastT(),C,S,g)},translate:function(C,S,g){p.translate(p.lastT(),C,S,g)}};return Object.defineProperties(x,{matrix:{get:function(){return p.computedMatrix},set:function(C){return p.setMatrix(p.lastT(),C),p.computedMatrix},enumerable:!0},mode:{get:function(){return p.getMode()},set:function(C){var S=p.computedUp.slice(),g=p.computedEye.slice(),P=p.computedCenter.slice();if(p.setMode(C),C===\"turntable\"){var E=s();p._active.lookAt(E,g,P,S),p._active.lookAt(E+500,g,P,[0,0,1]),p._active.flush(E)}return p.getMode()},enumerable:!0},center:{get:function(){return p.computedCenter},set:function(C){return p.lookAt(p.lastT(),null,C),p.computedCenter},enumerable:!0},eye:{get:function(){return p.computedEye},set:function(C){return p.lookAt(p.lastT(),C),p.computedEye},enumerable:!0},up:{get:function(){return p.computedUp},set:function(C){return p.lookAt(p.lastT(),null,null,C),p.computedUp},enumerable:!0},distance:{get:function(){return M},set:function(C){return p.setDistance(p.lastT(),C),C},enumerable:!0},distanceLimits:{get:function(){return p.getDistanceLimits(b)},set:function(C){return p.setDistanceLimits(C),C},enumerable:!0}}),v.addEventListener(\"contextmenu\",function(C){return C.preventDefault(),!1}),x._lastX=-1,x._lastY=-1,x._lastMods={shift:!1,control:!1,alt:!1,meta:!1},x.enableMouseListeners=function(){x.mouseListener=u(v,C),v.addEventListener(\"touchstart\",function(S){var g=f(S.changedTouches[0],v);C(0,g[0],g[1],x._lastMods),C(1,g[0],g[1],x._lastMods)},h?{passive:!0}:!1),v.addEventListener(\"touchmove\",function(S){var g=f(S.changedTouches[0],v);C(1,g[0],g[1],x._lastMods),S.preventDefault()},h?{passive:!1}:!1),v.addEventListener(\"touchend\",function(S){C(0,x._lastX,x._lastY,x._lastMods)},h?{passive:!0}:!1);function C(S,g,P,E){var z=x.keyBindingMode;if(z!==!1){var q=z===\"rotate\",V=z===\"pan\",G=z===\"zoom\",Z=!!E.control,j=!!E.alt,N=!!E.shift,H=!!(S&1),re=!!(S&2),ae=!!(S&4),_e=1/v.clientHeight,Ee=_e*(g-x._lastX),Ce=_e*(P-x._lastY),ge=x.flipX?1:-1,ie=x.flipY?1:-1,Se=Math.PI*x.rotateSpeed,ke=s();if(x._lastX!==-1&&x._lastY!==-1&&((q&&H&&!Z&&!j&&!N||H&&!Z&&!j&&N)&&p.rotate(ke,ge*Se*Ee,-ie*Se*Ce,0),(V&&H&&!Z&&!j&&!N||re||H&&Z&&!j&&!N)&&p.pan(ke,-x.translateSpeed*Ee*M,x.translateSpeed*Ce*M,0),G&&H&&!Z&&!j&&!N||ae||H&&!Z&&j&&!N)){var be=-x.zoomSpeed*Ce/window.innerHeight*(ke-p.lastT())*100;p.pan(ke,0,0,M*(Math.exp(be)-1))}return x._lastX=g,x._lastY=P,x._lastMods=E,!0}}x.wheelListener=c(v,function(S,g){if(x.keyBindingMode!==!1&&x.enableWheel){var P=x.flipX?1:-1,E=x.flipY?1:-1,z=s();if(Math.abs(S)>Math.abs(g))p.rotate(z,0,0,-S*P*Math.PI*x.rotateSpeed/window.innerWidth);else if(!x._ortho){var q=-x.zoomSpeed*E*g/window.innerHeight*(z-p.lastT())/20;p.pan(z,0,0,M*(Math.exp(q)-1))}}},!0)},x.enableMouseListeners(),x}}),799:(function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "attribute vec2 position;\n",
+       "varying vec2 uv;\n",
+       "void main() {\n",
+       "  uv = position;\n",
+       "  gl_Position = vec4(position, 0, 1);\n",
+       "}`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform sampler2D accumBuffer;\n",
+       "varying vec2 uv;\n",
+       "\n",
+       "void main() {\n",
+       "  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n",
+       "  gl_FragColor = min(vec4(1,1,1,1), accum);\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}}),4100:(function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),m=o(4772),b=o(4040),p=o(799),k=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:C,createCamera:s};function M(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function T(g,P){var E=null;try{E=g.getContext(\"webgl\",P),E||(E=g.getContext(\"experimental-webgl\",P))}catch(z){return null}return E}function L(g){var P=Math.round(Math.log(Math.abs(g))/Math.log(10));if(P<0){var E=Math.round(Math.pow(10,-P));return Math.ceil(g*E)/E}else if(P>0){var E=Math.round(Math.pow(10,P));return Math.ceil(g/E)*E}return Math.ceil(g)}function x(g){return typeof g==\"boolean\"?g:!0}function C(g){g=g||{},g.camera=g.camera||{};var P=g.canvas;if(!P)if(P=document.createElement(\"canvas\"),g.container){var E=g.container;E.appendChild(P)}else document.body.appendChild(P);var z=g.gl;if(z||(g.glOptions&&(k=!!g.glOptions.preserveDrawingBuffer),z=T(P,g.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:k})),!z)throw new Error(\"webgl not supported\");var q=g.bounds||[[-10,-10,-10],[10,10,10]],V=new M,G=h(z,z.drawingBufferWidth,z.drawingBufferHeight,{preferFloat:!k}),Z=p(z),j=g.cameraObject&&g.cameraObject._ortho===!0||g.camera.projection&&g.camera.projection.type===\"orthographic\"||!1,N={eye:g.camera.eye||[2,0,0],center:g.camera.center||[0,0,0],up:g.camera.up||[0,1,0],zoomMin:g.camera.zoomMax||.1,zoomMax:g.camera.zoomMin||100,mode:g.camera.mode||\"turntable\",_ortho:j},H=g.axes||{},re=l(z,H);re.enable=!H.disable;var ae=g.spikes||{},_e=c(z,ae),Ee=[],Ce=[],ge=[],ie=[],Se=!0,Le=!0,ke=new Array(16),be=new Array(16),Be={view:null,projection:ke,model:be,_ortho:!1},Le=!0,me=[z.drawingBufferWidth,z.drawingBufferHeight],Pe=g.cameraObject||s(P,N),ce={gl:z,contextLost:!1,pixelRatio:g.pixelRatio||1,canvas:P,selection:V,camera:Pe,axes:re,axesPixels:null,spikes:_e,bounds:q,objects:Ee,shape:me,aspect:g.aspectRatio||[1,1,1],pickRadius:g.pickRadius||10,zNear:g.zNear||.01,zFar:g.zFar||1e3,fovy:g.fovy||Math.PI/4,clearColor:g.clearColor||[0,0,0,0],autoResize:x(g.autoResize),autoBounds:x(g.autoBounds),autoScale:!!g.autoScale,autoCenter:x(g.autoCenter),clipToBounds:x(g.clipToBounds),snapToData:!!g.snapToData,onselect:g.onselect||null,onrender:g.onrender||null,onclick:g.onclick||null,cameraParams:Be,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(tt){this.aspect[0]=tt.x,this.aspect[1]=tt.y,this.aspect[2]=tt.z,Le=!0},setBounds:function(tt,je){this.bounds[0][tt]=je.min,this.bounds[1][tt]=je.max},setClearColor:function(tt){this.clearColor=tt},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},He=[z.drawingBufferWidth/ce.pixelRatio|0,z.drawingBufferHeight/ce.pixelRatio|0];function lt(){if(!ce._stopped&&ce.autoResize){var tt=P.parentNode,je=1,Ue=1;tt&&tt!==document.body?(je=tt.clientWidth,Ue=tt.clientHeight):(je=window.innerWidth,Ue=window.innerHeight);var Ae=Math.ceil(je*ce.pixelRatio)|0,rt=Math.ceil(Ue*ce.pixelRatio)|0;if(Ae!==P.width||rt!==P.height){P.width=Ae,P.height=rt;var St=P.style;St.position=St.position||\"absolute\",St.left=\"0px\",St.top=\"0px\",St.width=je+\"px\",St.height=Ue+\"px\",Se=!0}}}ce.autoResize&&lt(),window.addEventListener(\"resize\",lt);function mt(){for(var tt=Ee.length,je=ie.length,Ue=0;Ue<je;++Ue)ge[Ue]=0;e:for(var Ue=0;Ue<tt;++Ue){var Ae=Ee[Ue],rt=Ae.pickSlots;if(!rt){Ce[Ue]=-1;continue}for(var St=0;St<je;++St)if(ge[St]+rt<255){Ce[Ue]=St,Ae.setPickBase(ge[St]+1),ge[St]+=rt;continue e}var Tt=f(z,me);Ce[Ue]=je,ie.push(Tt),ge.push(rt),Ae.setPickBase(1),je+=1}for(;je>0&&ge[je-1]===0;)ge.pop(),ie.pop().dispose()}ce.update=function(tt){ce._stopped||(tt=tt||{},Se=!0,Le=!0)},ce.add=function(tt){ce._stopped||(tt.axes=re,Ee.push(tt),Ce.push(-1),Se=!0,Le=!0,mt())},ce.remove=function(tt){if(!ce._stopped){var je=Ee.indexOf(tt);je<0||(Ee.splice(je,1),Ce.pop(),Se=!0,Le=!0,mt())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",lt),P.removeEventListener(\"webglcontextlost\",Ht),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var tt=0;tt<Ee.length;++tt)Ee[tt].dispose();G.dispose();for(var tt=0;tt<ie.length;++tt)ie[tt].dispose();Z.dispose(),z=null,re=null,_e=null,Ee=[]}},ce._mouseRotating=!1,ce._prevButtons=0,ce.enableMouseListeners=function(){ce.mouseListener=v(P,function(tt,je,Ue){if(!ce._stopped){var Ae=ie.length,rt=Ee.length,St=V.object;V.distance=1/0,V.mouse[0]=je,V.mouse[1]=Ue,V.object=null,V.screen=null,V.dataCoordinate=V.dataPosition=null;var Tt=!1;if(tt&&ce._prevButtons)ce._mouseRotating=!0;else{ce._mouseRotating&&(Le=!0),ce._mouseRotating=!1;for(var dt=0;dt<Ae;++dt){var Et=ie[dt].query(je,He[1]-Ue-1,ce.pickRadius);if(Et){if(Et.distance>V.distance)continue;for(var pt=0;pt<rt;++pt){var jt=Ee[pt];if(Ce[pt]===dt){var or=jt.pick(Et);or&&(V.buttons=tt,V.screen=Et.coord,V.distance=Et.distance,V.object=jt,V.index=or.distance,V.dataPosition=or.position,V.dataCoordinate=or.dataCoordinate,V.data=or,Tt=!0)}}}}}St&&St!==V.object&&(St.highlight&&St.highlight(null),Se=!0),V.object&&(V.object.highlight&&V.object.highlight(V.data),Se=!0),Tt=Tt||V.object!==St,Tt&&ce.onselect&&ce.onselect(V),tt&1&&!(ce._prevButtons&1)&&ce.onclick&&ce.onclick(V),ce._prevButtons=tt}})};function Ht(){if(ce.contextLost)return!0;z.isContextLost()&&(ce.contextLost=!0,ce.mouseListener.enabled=!1,ce.selection.object=null,ce.oncontextloss&&ce.oncontextloss())}P.addEventListener(\"webglcontextlost\",Ht);function at(){if(!Ht()){z.colorMask(!0,!0,!0,!0),z.depthMask(!0),z.disable(z.BLEND),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL);for(var tt=Ee.length,je=ie.length,Ue=0;Ue<je;++Ue){var Ae=ie[Ue];Ae.shape=He,Ae.begin();for(var rt=0;rt<tt;++rt)if(Ce[rt]===Ue){var St=Ee[rt];St.drawPick&&(St.pixelRatio=1,St.drawPick(Be))}Ae.end()}}}var ct=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],ar=[ct[0].slice(),ct[1].slice()];function Vt(){if(!Ht()){lt();var tt=ce.camera.tick();Be.view=ce.camera.matrix,Se=Se||tt,Le=Le||tt,re.pixelRatio=ce.pixelRatio,_e.pixelRatio=ce.pixelRatio;var je=Ee.length,Ue=ct[0],Ae=ct[1];Ue[0]=Ue[1]=Ue[2]=1/0,Ae[0]=Ae[1]=Ae[2]=-1/0;for(var rt=0;rt<je;++rt){var St=Ee[rt];St.pixelRatio=ce.pixelRatio,St.axes=ce.axes,Se=Se||!!St.dirty,Le=Le||!!St.dirty;var Tt=St.bounds;if(Tt)for(var dt=Tt[0],Et=Tt[1],pt=0;pt<3;++pt)Ue[pt]=Math.min(Ue[pt],dt[pt]),Ae[pt]=Math.max(Ae[pt],Et[pt])}var jt=ce.bounds;if(ce.autoBounds)for(var pt=0;pt<3;++pt){if(Ae[pt]<Ue[pt])Ue[pt]=-1,Ae[pt]=1;else{Ue[pt]===Ae[pt]&&(Ue[pt]-=1,Ae[pt]+=1);var or=.05*(Ae[pt]-Ue[pt]);Ue[pt]=Ue[pt]-or,Ae[pt]=Ae[pt]+or}jt[0][pt]=Ue[pt],jt[1][pt]=Ae[pt]}for(var mr=!1,pt=0;pt<3;++pt)mr=mr||ar[0][pt]!==jt[0][pt]||ar[1][pt]!==jt[1][pt],ar[0][pt]=jt[0][pt],ar[1][pt]=jt[1][pt];if(Le=Le||mr,Se=Se||mr,!!Se){if(mr){for(var Ar=[0,0,0],rt=0;rt<3;++rt)Ar[rt]=L((jt[1][rt]-jt[0][rt])/10);re.autoTicks?re.update({bounds:jt,tickSpacing:Ar}):re.update({bounds:jt})}var ei=z.drawingBufferWidth,qr=z.drawingBufferHeight;me[0]=ei,me[1]=qr,He[0]=Math.max(ei/ce.pixelRatio,1)|0,He[1]=Math.max(qr/ce.pixelRatio,1)|0,S(ce,j);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.axesBounds=jt,ce.clipToBounds&&(St.clipBounds=jt)}V.object&&(ce.snapToData?_e.position=V.dataCoordinate:_e.position=V.dataPosition,_e.bounds=jt),Le&&(Le=!1,at()),ce.axesPixels=u(ce.axes,Be,ei,qr),ce.onrender&&ce.onrender(),z.bindFramebuffer(z.FRAMEBUFFER,null),z.viewport(0,0,ei,qr),ce.clearRGBA(),z.depthMask(!0),z.colorMask(!0,!0,!0,!0),z.enable(z.DEPTH_TEST),z.depthFunc(z.LEQUAL),z.disable(z.BLEND),z.disable(z.CULL_FACE);var jr=!1;re.enable&&(jr=jr||re.isTransparent(),re.draw(Be)),_e.axes=re,V.object&&_e.draw(Be),z.disable(z.CULL_FACE);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.axes=re,St.pixelRatio=ce.pixelRatio,St.isOpaque&&St.isOpaque()&&St.draw(Be),St.isTransparent&&St.isTransparent()&&(jr=!0)}if(jr){G.shape=me,G.bind(),z.clear(z.DEPTH_BUFFER_BIT),z.colorMask(!1,!1,!1,!1),z.depthMask(!0),z.depthFunc(z.LESS),re.enable&&re.isTransparent()&&re.drawTransparent(Be);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.isOpaque&&St.isOpaque()&&St.draw(Be)}z.enable(z.BLEND),z.blendEquation(z.FUNC_ADD),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.colorMask(!0,!0,!0,!0),z.depthMask(!1),z.clearColor(0,0,0,0),z.clear(z.COLOR_BUFFER_BIT),re.isTransparent()&&re.drawTransparent(Be);for(var rt=0;rt<je;++rt){var St=Ee[rt];St.isTransparent&&St.isTransparent()&&St.drawTransparent(Be)}z.bindFramebuffer(z.FRAMEBUFFER,null),z.blendFunc(z.ONE,z.ONE_MINUS_SRC_ALPHA),z.disable(z.DEPTH_TEST),Z.bind(),G.color[0].bind(0),Z.uniforms.accumBuffer=0,d(z),z.disable(z.BLEND)}Se=!1;for(var rt=0;rt<je;++rt)Ee[rt].dirty=!1}}}function rr(){ce._stopped||ce.contextLost||(Vt(),requestAnimationFrame(rr))}return ce.enableMouseListeners(),rr(),ce.redraw=function(){ce._stopped||(Se=!0,Vt())},ce}function S(g,P){var E=g.bounds,z=g.cameraParams,q=z.projection,V=z.model,G=g.gl.drawingBufferWidth,Z=g.gl.drawingBufferHeight,j=g.zNear,N=g.zFar,H=g.fovy,re=G/Z;P?(b(q,-re,re,-1,1,j,N),z._ortho=!0):(m(q,H,re,j,N),z._ortho=!1);for(var ae=0;ae<16;++ae)V[ae]=0;V[15]=1;for(var _e=0,ae=0;ae<3;++ae)_e=Math.max(_e,E[1][ae]-E[0][ae]);for(var ae=0;ae<3;++ae)g.autoScale?V[5*ae]=g.aspect[ae]/(E[1][ae]-E[0][ae]):V[5*ae]=1/_e,g.autoCenter&&(V[12+ae]=-V[5*ae]*.5*(E[0][ae]+E[1][ae]))}}),783:(function(i){i.exports=a;function a(o,s,l,u){var c=s[0],f=s[1],h=s[2],d=s[3],v=l[0],m=l[1],b=l[2],p=l[3],k,M,T,L,x;return M=c*v+f*m+h*b+d*p,M<0&&(M=-M,v=-v,m=-m,b=-b,p=-p),1-M>1e-6?(k=Math.acos(M),T=Math.sin(k),L=Math.sin((1-u)*k)/T,x=Math.sin(u*k)/T):(L=1-u,x=u),o[0]=L*c+x*v,o[1]=L*f+x*m,o[2]=L*h+x*b,o[3]=L*d+x*p,o}}),5964:(function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}}),9366:(function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var m={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};m.triangles=!0;var b=s(c,m);m.triangles=!1;var p=s(c,m),k,M;if(h&&h!==1){for(k=0;k<b.positions.length;++k)for(M=0;M<b.positions[k].length;++M)b.positions[k][M]/=h;for(k=0;k<p.positions.length;++k)for(M=0;M<p.positions[k].length;++M)p.positions[k][M]/=h}var T=[[1/0,1/0],[-1/0,-1/0]],L=p.positions.length;for(k=0;k<L;++k){var x=p.positions[k];for(M=0;M<2;++M)T[0][M]=Math.min(T[0][M],x[M]),T[1][M]=Math.max(T[1][M],x[M])}return v[c]=[b,p,T]}}),1283:(function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform vec4 highlightId;\n",
+       "uniform float highlightScale;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = 1.0;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      scale = highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    viewPosition = viewPosition / viewPosition.w;\n",
+       "    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float highlightScale, pixelRatio;\n",
+       "uniform vec4 highlightId;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float scale = pixelRatio;\n",
+       "    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n",
+       "      scale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 worldPosition = model * vec4(position, 1.0);\n",
+       "    vec4 viewPosition = view * worldPosition;\n",
+       "    vec4 clipPosition = projection * viewPosition;\n",
+       "    clipPosition /= clipPosition.w;\n",
+       "\n",
+       "    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = position;\n",
+       "  }\n",
+       "}`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "attribute vec3 position;\n",
+       "attribute vec4 color;\n",
+       "attribute vec2 glyph;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform float highlightScale;\n",
+       "uniform vec4 highlightId;\n",
+       "uniform vec3 axes[2];\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec2 screenSize;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float scale, pixelRatio;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n",
+       "\n",
+       "    gl_Position = vec4(0,0,0,0);\n",
+       "  } else {\n",
+       "    float lscale = pixelRatio * scale;\n",
+       "    if(distance(highlightId, id) < 0.0001) {\n",
+       "      lscale *= highlightScale;\n",
+       "    }\n",
+       "\n",
+       "    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\n",
+       "    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n",
+       "    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n",
+       "\n",
+       "    gl_Position = clipPosition;\n",
+       "    interpColor = color;\n",
+       "    pickId = id;\n",
+       "    dataCoordinate = dataPosition;\n",
+       "  }\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 interpColor;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n",
+       "    interpColor.a * opacity == 0.\n",
+       "  ) discard;\n",
+       "  gl_FragColor = interpColor * opacity;\n",
+       "}\n",
+       "`]),d=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 fragClipBounds[2];\n",
+       "uniform float pickGroup;\n",
+       "\n",
+       "varying vec4 pickId;\n",
+       "varying vec3 dataCoordinate;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickGroup, pickId.bgr);\n",
+       "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],m={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},p={vertex:f,fragment:h,attributes:v},k={vertex:u,fragment:d,attributes:v},M={vertex:c,fragment:d,attributes:v},T={vertex:f,fragment:d,attributes:v};function L(x,C){var S=s(x,C),g=S.attributes;return g.position.location=0,g.color.location=1,g.glyph.location=2,g.id.location=3,S}a.createPerspective=function(x){return L(x,m)},a.createOrtho=function(x){return L(x,b)},a.createProject=function(x){return L(x,p)},a.createPickPerspective=function(x){return L(x,k)},a.createPickOrtho=function(x){return L(x,M)},a.createPickProject=function(x){return L(x,T)}}),8418:(function(i,a,o){\"use strict\";var s=o(5219),l=o(2762),u=o(8116),c=o(1888),f=o(6760),h=o(1283),d=o(9366),v=o(5964),m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],b=ArrayBuffer,p=DataView;function k(be){return b.isView(be)&&!(be instanceof p)}function M(be){return Array.isArray(be)||k(be)}i.exports=ke;function T(be,Be){var Le=be[0],me=be[1],Pe=be[2],ce=be[3];return be[0]=Be[0]*Le+Be[4]*me+Be[8]*Pe+Be[12]*ce,be[1]=Be[1]*Le+Be[5]*me+Be[9]*Pe+Be[13]*ce,be[2]=Be[2]*Le+Be[6]*me+Be[10]*Pe+Be[14]*ce,be[3]=Be[3]*Le+Be[7]*me+Be[11]*Pe+Be[15]*ce,be}function L(be,Be,Le,me){return T(me,me,Le),T(me,me,Be),T(me,me,be)}function x(be,Be){this.index=be,this.dataCoordinate=this.position=Be}function C(be){return be===!0||be>1?1:be}function S(be,Be,Le,me,Pe,ce,He,lt,mt,Ht,at,ct){this.gl=be,this.pixelRatio=1,this.shader=Be,this.orthoShader=Le,this.projectShader=me,this.pointBuffer=Pe,this.colorBuffer=ce,this.glyphBuffer=He,this.idBuffer=lt,this.vao=mt,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[.6666666666666666,.6666666666666666,.6666666666666666],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=Ht,this.pickOrthoShader=at,this.pickProjectShader=ct,this.points=[],this._selectResult=new x(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}var g=S.prototype;g.pickSlots=1,g.setPickBase=function(be){this.pickId=be},g.isTransparent=function(){if(this.hasAlpha)return!0;for(var be=0;be<3;++be)if(this.axesProject[be]&&this.projectHasAlpha)return!0;return!1},g.isOpaque=function(){if(!this.hasAlpha)return!0;for(var be=0;be<3;++be)if(this.axesProject[be]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],E=[0,0,0],z=[0,0,0],q=[0,0,0,1],V=[0,0,0,1],G=m.slice(),Z=[0,0,0],j=[[0,0,0],[0,0,0]];function N(be){return be[0]=be[1]=be[2]=0,be}function H(be,Be){return be[0]=Be[0],be[1]=Be[1],be[2]=Be[2],be[3]=1,be}function re(be,Be,Le,me){return be[0]=Be[0],be[1]=Be[1],be[2]=Be[2],be[Le]=me,be}function ae(be){for(var Be=j,Le=0;Le<2;++Le)for(var me=0;me<3;++me)Be[Le][me]=Math.max(Math.min(be[Le][me],1e8),-1e8);return Be}function _e(be,Be,Le,me){var Pe=Be.axesProject,ce=Be.gl,He=be.uniforms,lt=Le.model||m,mt=Le.view||m,Ht=Le.projection||m,at=Be.axesBounds,ct=ae(Be.clipBounds),ar;Be.axes&&Be.axes.lastCubeProps?ar=Be.axes.lastCubeProps.axis:ar=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,be.bind(),He.view=mt,He.projection=Ht,He.screenSize=P,He.highlightId=Be.highlightId,He.highlightScale=Be.highlightScale,He.clipBounds=ct,He.pickGroup=Be.pickId/255,He.pixelRatio=me;for(var Vt=0;Vt<3;++Vt)if(Pe[Vt]){He.scale=Be.projectScale[Vt],He.opacity=Be.projectOpacity[Vt];for(var rr=G,tt=0;tt<16;++tt)rr[tt]=0;for(var tt=0;tt<4;++tt)rr[5*tt]=1;rr[5*Vt]=0,ar[Vt]<0?rr[12+Vt]=at[0][Vt]:rr[12+Vt]=at[1][Vt],f(rr,lt,rr),He.model=rr;var je=(Vt+1)%3,Ue=(Vt+2)%3,Ae=N(E),rt=N(z);Ae[je]=1,rt[Ue]=1;var St=L(Ht,mt,lt,H(q,Ae)),Tt=L(Ht,mt,lt,H(V,rt));if(Math.abs(St[1])>Math.abs(Tt[1])){var dt=St;St=Tt,Tt=dt,dt=Ae,Ae=rt,rt=dt;var Et=je;je=Ue,Ue=Et}St[0]<0&&(Ae[je]=-1),Tt[1]>0&&(rt[Ue]=-1);for(var pt=0,jt=0,tt=0;tt<4;++tt)pt+=Math.pow(lt[4*je+tt],2),jt+=Math.pow(lt[4*Ue+tt],2);Ae[je]/=Math.sqrt(pt),rt[Ue]/=Math.sqrt(jt),He.axes[0]=Ae,He.axes[1]=rt,He.fragClipBounds[0]=re(Z,ct[0],Vt,-1e8),He.fragClipBounds[1]=re(Z,ct[1],Vt,1e8),Be.vao.bind(),Be.vao.draw(ce.TRIANGLES,Be.vertexCount),Be.lineWidth>0&&(ce.lineWidth(Be.lineWidth*me),Be.vao.draw(ce.LINES,Be.lineVertexCount,Be.vertexCount)),Be.vao.unbind()}}var Ee=[-1e8,-1e8,-1e8],Ce=[1e8,1e8,1e8],ge=[Ee,Ce];function ie(be,Be,Le,me,Pe,ce,He){var lt=Le.gl;if((ce===Le.projectHasAlpha||He)&&_e(Be,Le,me,Pe),ce===Le.hasAlpha||He){be.bind();var mt=be.uniforms;mt.model=me.model||m,mt.view=me.view||m,mt.projection=me.projection||m,P[0]=2/lt.drawingBufferWidth,P[1]=2/lt.drawingBufferHeight,mt.screenSize=P,mt.highlightId=Le.highlightId,mt.highlightScale=Le.highlightScale,mt.fragClipBounds=ge,mt.clipBounds=Le.axes.bounds,mt.opacity=Le.opacity,mt.pickGroup=Le.pickId/255,mt.pixelRatio=Pe,Le.vao.bind(),Le.vao.draw(lt.TRIANGLES,Le.vertexCount),Le.lineWidth>0&&(lt.lineWidth(Le.lineWidth*Pe),Le.vao.draw(lt.LINES,Le.lineVertexCount,Le.vertexCount)),Le.vao.unbind()}}g.draw=function(be){var Be=this.useOrtho?this.orthoShader:this.shader;ie(Be,this.projectShader,this,be,this.pixelRatio,!1,!1)},g.drawTransparent=function(be){var Be=this.useOrtho?this.orthoShader:this.shader;ie(Be,this.projectShader,this,be,this.pixelRatio,!0,!1)},g.drawPick=function(be){var Be=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;ie(Be,this.pickProjectShader,this,be,1,!0,!0)},g.pick=function(be){if(!be||be.id!==this.pickId)return null;var Be=be.value[2]+(be.value[1]<<8)+(be.value[0]<<16);if(Be>=this.pointCount||Be<0)return null;var Le=this.points[Be],me=this._selectResult;me.index=Be;for(var Pe=0;Pe<3;++Pe)me.position[Pe]=me.dataCoordinate[Pe]=Le[Pe];return me},g.highlight=function(be){if(!be)this.highlightId=[1,1,1,1];else{var Be=be.index,Le=Be&255,me=Be>>8&255,Pe=Be>>16&255;this.highlightId=[Le/255,me/255,Pe/255,0]}};function Se(be,Be,Le,me){var Pe;M(be)?Be<be.length?Pe=be[Be]:Pe=void 0:Pe=be,Pe=v(Pe);var ce=!0;s(Pe)&&(Pe=\"\\u25BC\",ce=!1),Le||(Le={});var He=Le.family;M(He)&&(He=He[Be]),He||(He=\"normal\");var lt=Le.weight;M(lt)&&(lt=lt[Be]),lt||(lt=\"normal\");var mt=Le.style;M(mt)&&(mt=mt[Be]),mt||(mt=\"normal\");var Ht=Le.variant;M(Ht)&&(Ht=Ht[Be]),Ht||(Ht=\"normal\");var at=d(Pe,{family:He,weight:lt,style:mt,variant:Ht},me),at=d(Pe,Le,me);return{mesh:at[0],lines:at[1],bounds:at[2],visible:ce}}g.update=function(be){if(be=be||{},\"perspective\"in be&&(this.useOrtho=!be.perspective),\"orthographic\"in be&&(this.useOrtho=!!be.orthographic),\"lineWidth\"in be&&(this.lineWidth=be.lineWidth),\"project\"in be)if(M(be.project))this.axesProject=be.project;else{var Be=!!be.project;this.axesProject=[Be,Be,Be]}if(\"projectScale\"in be)if(M(be.projectScale))this.projectScale=be.projectScale.slice();else{var Le=+be.projectScale;this.projectScale=[Le,Le,Le]}if(this.projectHasAlpha=!1,\"projectOpacity\"in be){if(M(be.projectOpacity))this.projectOpacity=be.projectOpacity.slice();else{var Le=+be.projectOpacity;this.projectOpacity=[Le,Le,Le]}for(var me=0;me<3;++me)this.projectOpacity[me]=C(this.projectOpacity[me]),this.projectOpacity[me]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in be&&(this.opacity=C(be.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var Pe=be.position,ce={family:be.font||\"normal\",style:be.fontStyle||\"normal\",weight:be.fontWeight||\"normal\",variant:be.fontVariant||\"normal\"},He=be.alignment||[0,0],lt,mt;if(He.length===2)lt=He[0],mt=He[1];else{lt=[],mt=[];for(var me=0;me<He.length;++me)lt[me]=He[me][0],mt[me]=He[me][1]}var Ht=[1/0,1/0,1/0],at=[-1/0,-1/0,-1/0],ct=be.glyph,ar=be.color,Vt=be.size,rr=be.angle,tt=be.lineColor,je=-1,Ue=0,Ae=0,rt=0;if(Pe.length){rt=Pe.length;e:for(var me=0;me<rt;++me){for(var St=Pe[me],Tt=0;Tt<3;++Tt)if(isNaN(St[Tt])||!isFinite(St[Tt]))continue e;var dt=Se(ct,me,ce,this.pixelRatio),Et=dt.mesh,pt=dt.lines,jt=dt.bounds;Ue+=Et.cells.length*3,Ae+=pt.edges.length*2}}var or=Ue+Ae,mr=c.mallocFloat(3*or),Ar=c.mallocFloat(4*or),ei=c.mallocFloat(2*or),qr=c.mallocUint32(or);if(or>0){var jr=0,gt=Ue,Ge=[0,0,0,1],Je=[0,0,0,1],We=M(ar)&&M(ar[0]),et=M(tt)&&M(tt[0]);e:for(var me=0;me<rt;++me){je+=1;for(var St=Pe[me],Tt=0;Tt<3;++Tt){if(isNaN(St[Tt])||!isFinite(St[Tt]))continue e;at[Tt]=Math.max(at[Tt],St[Tt]),Ht[Tt]=Math.min(Ht[Tt],St[Tt])}var dt=Se(ct,me,ce,this.pixelRatio),Et=dt.mesh,pt=dt.lines,jt=dt.bounds,xt=dt.visible;if(!xt)Ge=[1,1,1,0];else if(M(ar)){var At;if(We?me<ar.length?At=ar[me]:At=[0,0,0,0]:At=ar,At.length===3){for(var Tt=0;Tt<3;++Tt)Ge[Tt]=At[Tt];Ge[3]=1}else if(At.length===4){for(var Tt=0;Tt<4;++Tt)Ge[Tt]=At[Tt];!this.hasAlpha&&At[3]<1&&(this.hasAlpha=!0)}}else Ge[0]=Ge[1]=Ge[2]=0,Ge[3]=1;if(!xt)Je=[1,1,1,0];else if(M(tt)){var At;if(et?me<tt.length?At=tt[me]:At=[0,0,0,0]:At=tt,At.length===3){for(var Tt=0;Tt<3;++Tt)Je[Tt]=At[Tt];Je[Tt]=1}else if(At.length===4){for(var Tt=0;Tt<4;++Tt)Je[Tt]=At[Tt];!this.hasAlpha&&At[3]<1&&(this.hasAlpha=!0)}}else Je[0]=Je[1]=Je[2]=0,Je[3]=1;var Kt=.5;xt?M(Vt)?me<Vt.length?Kt=+Vt[me]:Kt=12:Vt?Kt=+Vt:this.useOrtho&&(Kt=12):Kt=0;var Qt=0;M(rr)?me<rr.length?Qt=+rr[me]:Qt=0:rr&&(Qt=+rr);for(var Mr=Math.cos(Qt),Gr=Math.sin(Qt),St=Pe[me],Tt=0;Tt<3;++Tt)at[Tt]=Math.max(at[Tt],St[Tt]),Ht[Tt]=Math.min(Ht[Tt],St[Tt]);var Ir=lt,Yr=mt,Ir=0;M(lt)?me<lt.length?Ir=lt[me]:Ir=0:lt&&(Ir=lt);var Yr=0;M(mt)?me<mt.length?Yr=mt[me]:Yr=0:mt&&(Yr=mt),Ir*=Ir>0?1-jt[0][0]:Ir<0?1+jt[1][0]:1,Yr*=Yr>0?1-jt[0][1]:Yr<0?1+jt[1][1]:1;for(var _i=[Ir,Yr],Fn=Et.cells||[],An=Et.positions||[],Tt=0;Tt<Fn.length;++Tt)for(var Pi=Fn[Tt],ai=0;ai<3;++ai){for(var mi=0;mi<3;++mi)mr[3*jr+mi]=St[mi];for(var mi=0;mi<4;++mi)Ar[4*jr+mi]=Ge[mi];qr[jr]=je;var un=An[Pi[ai]];ei[2*jr]=Kt*(Mr*un[0]-Gr*un[1]+_i[0]),ei[2*jr+1]=Kt*(Gr*un[0]+Mr*un[1]+_i[1]),jr+=1}for(var Fn=pt.edges,An=pt.positions,Tt=0;Tt<Fn.length;++Tt)for(var Pi=Fn[Tt],ai=0;ai<2;++ai){for(var mi=0;mi<3;++mi)mr[3*gt+mi]=St[mi];for(var mi=0;mi<4;++mi)Ar[4*gt+mi]=Je[mi];qr[gt]=je;var un=An[Pi[ai]];ei[2*gt]=Kt*(Mr*un[0]-Gr*un[1]+_i[0]),ei[2*gt+1]=Kt*(Gr*un[0]+Mr*un[1]+_i[1]),gt+=1}}}this.bounds=[Ht,at],this.points=Pe,this.pointCount=Pe.length,this.vertexCount=Ue,this.lineVertexCount=Ae,this.pointBuffer.update(mr),this.colorBuffer.update(Ar),this.glyphBuffer.update(ei),this.idBuffer.update(qr),c.free(mr),c.free(Ar),c.free(ei),c.free(qr)},g.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()};function ke(be){var Be=be.gl,Le=h.createPerspective(Be),me=h.createOrtho(Be),Pe=h.createProject(Be),ce=h.createPickPerspective(Be),He=h.createPickOrtho(Be),lt=h.createPickProject(Be),mt=l(Be),Ht=l(Be),at=l(Be),ct=l(Be),ar=u(Be,[{buffer:mt,size:3,type:Be.FLOAT},{buffer:Ht,size:4,type:Be.FLOAT},{buffer:at,size:2,type:Be.FLOAT},{buffer:ct,size:4,type:Be.UNSIGNED_BYTE,normalized:!0}]),Vt=new S(Be,Le,me,Pe,mt,Ht,at,ct,ar,ce,He,lt);return Vt.update(be),Vt}}),3589:(function(i,a,o){\"use strict\";i.exports=m;var s=o(2260),l=o(1888),u=o(9618),c=o(8828).nextPow2,f=function(b,p,k){for(var M=1e8,T=-1,L=-1,x=b.shape[0],C=b.shape[1],S=0;S<x;S++)for(var g=0;g<C;g++){var P=b.get(S,g,0),E=b.get(S,g,1),z=b.get(S,g,2),q=b.get(S,g,3);if(P<255||E<255||z<255||q<255){var V=p-S,G=k-g,Z=V*V+G*G;Z<M&&(M=Z,T=S,L=g)}}return[T,L,M]};function h(b,p,k,M,T){this.coord=[b,p],this.id=k,this.value=M,this.distance=T}function d(b,p,k){this.gl=b,this.fbo=p,this.buffer=k,this._readTimeout=null;var M=this;this._readCallback=function(){M.gl&&(p.bind(),b.readPixels(0,0,p.shape[0],p.shape[1],b.RGBA,b.UNSIGNED_BYTE,M.buffer),M._readTimeout=null)}}var v=d.prototype;Object.defineProperty(v,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(b){if(this.gl){this.fbo.shape=b;var p=this.fbo.shape[0],k=this.fbo.shape[1];if(k*p*4>this.buffer.length){l.free(this.buffer);for(var M=this.buffer=l.mallocUint8(c(k*p*4)),T=0;T<k*p*4;++T)M[T]=255}return b}}}),v.begin=function(){var b=this.gl,p=this.shape;b&&(this.fbo.bind(),b.clearColor(1,1,1,1),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT))},v.end=function(){var b=this.gl;b&&(b.bindFramebuffer(b.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},v.query=function(b,p,k){if(!this.gl)return null;var M=this.fbo.shape.slice();b=b|0,p=p|0,typeof k!=\"number\"&&(k=1);var T=Math.min(Math.max(b-k,0),M[0])|0,L=Math.min(Math.max(b+k,0),M[0])|0,x=Math.min(Math.max(p-k,0),M[1])|0,C=Math.min(Math.max(p+k,0),M[1])|0;if(L<=T||C<=x)return null;var S=[L-T,C-x],g=u(this.buffer,[S[0],S[1],4],[4,M[0]*4,1],4*(T+M[0]*x)),P=f(g.hi(S[0],S[1],1),k,k),E=P[0],z=P[1];if(E<0||Math.pow(this.radius,2)<P[2])return null;var q=g.get(E,z,0),V=g.get(E,z,1),G=g.get(E,z,2),Z=g.get(E,z,3);return new h(E+T|0,z+x|0,q,[V,G,Z],Math.sqrt(P[2]))},v.dispose=function(){this.gl&&(this.fbo.dispose(),l.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))};function m(b,p){var k=p[0],M=p[1],T={},L=s(b,k,M,T),x=l.mallocUint8(k*M*4);return new d(b,L,x)}}),9405:(function(i,a,o){\"use strict\";var s=o(3327),l=o(8731),u=o(216),c=o(5091),f=o(2145),h=o(8866);function d(p){this.gl=p,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var v=d.prototype;v.bind=function(){this.program||this._relink();var p,k=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),M=this.gl.lastAttribCount;if(k>M)for(p=M;p<k;p++)this.gl.enableVertexAttribArray(p);else if(M>k)for(p=k;p<M;p++)this.gl.disableVertexAttribArray(p);this.gl.lastAttribCount=k,this.gl.useProgram(this.program)},v.dispose=function(){for(var p=this.gl.lastAttribCount,k=0;k<p;k++)this.gl.disableVertexAttribArray(k);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null};function m(p,k){return p.name<k.name?-1:1}v.update=function(p,k,M,T){if(!k||arguments.length===1){var L=p;p=L.vertex,k=L.fragment,M=L.uniforms,T=L.attributes}var x=this,C=x.gl,S=x._vref;x._vref=c.shader(C,C.VERTEX_SHADER,p),S&&S.dispose(),x.vertShader=x._vref.shader;var g=this._fref;if(x._fref=c.shader(C,C.FRAGMENT_SHADER,k),g&&g.dispose(),x.fragShader=x._fref.shader,!M||!T){var P=C.createProgram();if(C.attachShader(P,x.fragShader),C.attachShader(P,x.vertShader),C.linkProgram(P),!C.getProgramParameter(P,C.LINK_STATUS)){var E=C.getProgramInfoLog(P);throw new h(E,\"Error linking program:\"+E)}M=M||f.uniforms(C,P),T=T||f.attributes(C,P),C.deleteProgram(P)}T=T.slice(),T.sort(m);var z=[],q=[],V=[],G;for(G=0;G<T.length;++G){var Z=T[G];if(Z.type.indexOf(\"mat\")>=0){for(var j=Z.type.charAt(Z.type.length-1)|0,N=new Array(j),H=0;H<j;++H)N[H]=V.length,q.push(Z.name+\"[\"+H+\"]\"),typeof Z.location==\"number\"?V.push(Z.location+H):Array.isArray(Z.location)&&Z.location.length===j&&typeof Z.location[H]==\"number\"?V.push(Z.location[H]|0):V.push(-1);z.push({name:Z.name,type:Z.type,locations:N})}else z.push({name:Z.name,type:Z.type,locations:[V.length]}),q.push(Z.name),typeof Z.location==\"number\"?V.push(Z.location|0):V.push(-1)}var re=0;for(G=0;G<V.length;++G)if(V[G]<0){for(;V.indexOf(re)>=0;)re+=1;V[G]=re}var ae=new Array(M.length);function _e(){x.program=c.program(C,x._vref,x._fref,q,V);for(var Ee=0;Ee<M.length;++Ee)ae[Ee]=C.getUniformLocation(x.program,M[Ee].name)}_e(),x._relink=_e,x.types={uniforms:u(M),attributes:u(T)},x.attributes=l(C,x,z,V),Object.defineProperty(x,\"uniforms\",s(C,x,M,ae))};function b(p,k,M,T,L){var x=new d(p);return x.update(k,M,T,L),x}i.exports=b}),8866:(function(i){function a(o,s,l){this.shortMessage=s||\"\",this.longMessage=l||\"\",this.rawError=o||\"\",this.message=\"gl-shader: \"+(s||o||\"\")+(l?`\n",
+       "`+l:\"\"),this.stack=new Error().stack}a.prototype=new Error,a.prototype.name=\"GLError\",a.prototype.constructor=a,i.exports=a}),8731:(function(i,a,o){\"use strict\";i.exports=d;var s=o(8866);function l(v,m,b,p,k,M){this._gl=v,this._wrapper=m,this._index=b,this._locations=p,this._dimension=k,this._constFunc=M}var u=l.prototype;u.pointer=function(m,b,p,k){var M=this,T=M._gl,L=M._locations[M._index];T.vertexAttribPointer(L,M._dimension,m||T.FLOAT,!!b,p||0,k||0),T.enableVertexAttribArray(L)},u.set=function(v,m,b,p){return this._constFunc(this._locations[this._index],v,m,b,p)},Object.defineProperty(u,\"location\",{get:function(){return this._locations[this._index]},set:function(v){return v!==this._locations[this._index]&&(this._locations[this._index]=v|0,this._wrapper.program=null),v|0}});var c=[function(v,m,b){return b.length===void 0?v.vertexAttrib1f(m,b):v.vertexAttrib1fv(m,b)},function(v,m,b,p){return b.length===void 0?v.vertexAttrib2f(m,b,p):v.vertexAttrib2fv(m,b)},function(v,m,b,p,k){return b.length===void 0?v.vertexAttrib3f(m,b,p,k):v.vertexAttrib3fv(m,b)},function(v,m,b,p,k,M){return b.length===void 0?v.vertexAttrib4f(m,b,p,k,M):v.vertexAttrib4fv(m,b)}];function f(v,m,b,p,k,M,T){var L=c[k],x=new l(v,m,b,p,k,L);Object.defineProperty(M,T,{set:function(C){return v.disableVertexAttribArray(p[b]),L(v,p[b],C),C},get:function(){return x},enumerable:!0})}function h(v,m,b,p,k,M,T){for(var L=new Array(k),x=new Array(k),C=0;C<k;++C)f(v,m,b[C],p,k,L,C),x[C]=L[C];Object.defineProperty(L,\"location\",{set:function(P){if(Array.isArray(P))for(var E=0;E<k;++E)x[E].location=P[E];else for(var E=0;E<k;++E)x[E].location=P+E;return P},get:function(){for(var P=new Array(k),E=0;E<k;++E)P[E]=p[b[E]];return P},enumerable:!0}),L.pointer=function(P,E,z,q){P=P||v.FLOAT,E=!!E,z=z||k*k,q=q||0;for(var V=0;V<k;++V){var G=p[b[V]];v.vertexAttribPointer(G,k,P,E,z,q+V*k),v.enableVertexAttribArray(G)}};var S=new Array(k),g=v[\"vertexAttrib\"+k+\"fv\"];Object.defineProperty(M,T,{set:function(P){for(var E=0;E<k;++E){var z=p[b[E]];if(v.disableVertexAttribArray(z),Array.isArray(P[0]))g.call(v,z,P[E]);else{for(var q=0;q<k;++q)S[q]=P[k*E+q];g.call(v,z,S)}}return P},get:function(){return L},enumerable:!0})}function d(v,m,b,p){for(var k={},M=0,T=b.length;M<T;++M){var L=b[M],x=L.name,C=L.type,S=L.locations;switch(C){case\"bool\":case\"int\":case\"float\":f(v,m,S[0],p,1,k,x);break;default:if(C.indexOf(\"vec\")>=0){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new s(\"\",\"Invalid data type for attribute \"+x+\": \"+C);f(v,m,S[0],p,g,k,x)}else if(C.indexOf(\"mat\")>=0){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new s(\"\",\"Invalid data type for attribute \"+x+\": \"+C);h(v,m,S,p,g,k,x)}else throw new s(\"\",\"Unknown data type for attribute \"+x+\": \"+C);break}}return k}}),3327:(function(i,a,o){\"use strict\";var s=o(216),l=o(8866);i.exports=f;function u(h){return function(){return h}}function c(h,d){for(var v=new Array(h),m=0;m<h;++m)v[m]=d;return v}function f(h,d,v,m){function b(C){return function(S,g,P){return S.getUniform(g.program,P[C])}}function p(C){return function(g){for(var P=k(\"\",C),E=0;E<P.length;++E){var z=P[E],q=z[0],V=z[1];if(m[V]){var G=g;if(typeof q==\"string\"&&(q.indexOf(\".\")===0||q.indexOf(\"[\")===0)){var Z=q;if(q.indexOf(\".\")===0&&(Z=q.slice(1)),Z.indexOf(\"]\")===Z.length-1){var j=Z.indexOf(\"[\"),N=Z.slice(0,j),H=Z.slice(j+1,Z.length-1);G=N?g[N][H]:g[H]}else G=g[Z]}var re=v[V].type,ae;switch(re){case\"bool\":case\"int\":case\"sampler2D\":case\"samplerCube\":h.uniform1i(m[V],G);break;case\"float\":h.uniform1f(m[V],G);break;default:var _e=re.indexOf(\"vec\");if(0<=_e&&_e<=1&&re.length===4+_e){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid data type\");switch(re.charAt(0)){case\"b\":case\"i\":h[\"uniform\"+ae+\"iv\"](m[V],G);break;case\"v\":h[\"uniform\"+ae+\"fv\"](m[V],G);break;default:throw new l(\"\",\"Unrecognized data type for vector \"+name+\": \"+re)}}else if(re.indexOf(\"mat\")===0&&re.length===4){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+re);h[\"uniformMatrix\"+ae+\"fv\"](m[V],!1,G);break}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+re)}}}}}function k(C,S){if(typeof S!=\"object\")return[[C,S]];var g=[];for(var P in S){var E=S[P],z=C;parseInt(P)+\"\"===P?z+=\"[\"+P+\"]\":z+=\".\"+P,typeof E==\"object\"?g.push.apply(g,k(z,E)):g.push([z,E])}return g}function M(C){switch(C){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":return 0;case\"float\":return 0;default:var S=C.indexOf(\"vec\");if(0<=S&&S<=1&&C.length===4+S){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new l(\"\",\"Invalid data type\");return C.charAt(0)===\"b\"?c(g,!1):c(g,0)}else if(C.indexOf(\"mat\")===0&&C.length===4){var g=C.charCodeAt(C.length-1)-48;if(g<2||g>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+C);return c(g*g,0)}else throw new l(\"\",\"Unknown uniform data type for \"+name+\": \"+C)}}function T(C,S,g){if(typeof g==\"object\"){var P=L(g);Object.defineProperty(C,S,{get:u(P),set:p(g),enumerable:!0,configurable:!1})}else m[g]?Object.defineProperty(C,S,{get:b(g),set:p(g),enumerable:!0,configurable:!1}):C[S]=M(v[g].type)}function L(C){var S;if(Array.isArray(C)){S=new Array(C.length);for(var g=0;g<C.length;++g)T(S,g,C[g])}else{S={};for(var P in C)T(S,P,C[P])}return S}var x=s(v,!0);return{get:u(L(x)),set:p(x),enumerable:!0,configurable:!0}}}),216:(function(i){\"use strict\";i.exports=a;function a(o,s){for(var l={},u=0;u<o.length;++u)for(var c=o[u].name,f=c.split(\".\"),h=l,d=0;d<f.length;++d){var v=f[d].split(\"[\");if(v.length>1){v[0]in h||(h[v[0]]=[]),h=h[v[0]];for(var m=1;m<v.length;++m){var b=parseInt(v[m]);m<v.length-1||d<f.length-1?(b in h||(m<v.length-1?h[b]=[]:h[b]={}),h=h[b]):s?h[b]=u:h[b]=o[u].type}}else d<f.length-1?(v[0]in h||(h[v[0]]={}),h=h[v[0]]):s?h[v[0]]=u:h[v[0]]=o[u].type}return l}}),2145:(function(i,a){\"use strict\";a.uniforms=u,a.attributes=c;var o={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},s=null;function l(f,h){if(!s){var d=Object.keys(o);s={};for(var v=0;v<d.length;++v){var m=d[v];s[f[m]]=o[m]}}return s[h]}function u(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_UNIFORMS),v=[],m=0;m<d;++m){var b=f.getActiveUniform(h,m);if(b){var p=l(f,b.type);if(b.size>1)for(var k=0;k<b.size;++k)v.push({name:b.name.replace(\"[0]\",\"[\"+k+\"]\"),type:p});else v.push({name:b.name,type:p})}}return v}function c(f,h){for(var d=f.getProgramParameter(h,f.ACTIVE_ATTRIBUTES),v=[],m=0;m<d;++m){var b=f.getActiveAttrib(h,m);b&&v.push({name:b.name,type:l(f,b.type)})}return v}}),5091:(function(i,a,o){\"use strict\";a.shader=k,a.program=M;var s=o(8866),l=o(2992),u=typeof WeakMap==\"undefined\"?o(606):WeakMap,c=new u,f=0;function h(T,L,x,C,S,g,P){this.id=T,this.src=L,this.type=x,this.shader=C,this.count=g,this.programs=[],this.cache=P}h.prototype.dispose=function(){if(--this.count===0){for(var T=this.cache,L=T.gl,x=this.programs,C=0,S=x.length;C<S;++C){var g=T.programs[x[C]];g&&(delete T.programs[C],L.deleteProgram(g))}L.deleteShader(this.shader),delete T.shaders[this.type===L.FRAGMENT_SHADER|0][this.src]}};function d(T){this.gl=T,this.shaders=[{},{}],this.programs={}}var v=d.prototype;function m(T,L,x){var C=T.createShader(L);if(T.shaderSource(C,x),T.compileShader(C),!T.getShaderParameter(C,T.COMPILE_STATUS)){var S=T.getShaderInfoLog(C);try{var g=l(S,x,L)}catch(P){throw console.warn(\"Failed to format compiler error: \"+P),new s(S,`Error compiling shader:\n",
+       "`+S)}throw new s(S,g.short,g.long)}return C}v.getShaderReference=function(T,L){var x=this.gl,C=this.shaders[T===x.FRAGMENT_SHADER|0],S=C[L];if(!S||!x.isShader(S.shader)){var g=m(x,T,L);S=C[L]=new h(f++,L,T,g,[],1,this)}else S.count+=1;return S};function b(T,L,x,C,S){var g=T.createProgram();T.attachShader(g,L),T.attachShader(g,x);for(var P=0;P<C.length;++P)T.bindAttribLocation(g,S[P],C[P]);if(T.linkProgram(g),!T.getProgramParameter(g,T.LINK_STATUS)){var E=T.getProgramInfoLog(g);throw new s(E,\"Error linking program: \"+E)}return g}v.getProgram=function(T,L,x,C){var S=[T.id,L.id,x.join(\":\"),C.join(\":\")].join(\"@\"),g=this.programs[S];return(!g||!this.gl.isProgram(g))&&(this.programs[S]=g=b(this.gl,T.shader,L.shader,x,C),T.programs.push(S),L.programs.push(S)),g};function p(T){var L=c.get(T);return L||(L=new d(T),c.set(T,L)),L}function k(T,L,x){return p(T).getShaderReference(L,x)}function M(T,L,x,C,S){return p(T).getProgram(L,x,C,S)}}),1493:(function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec3 position, color;\n",
+       "attribute float weight;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform vec3 coordinates[3];\n",
+       "uniform vec4 colors[3];\n",
+       "uniform vec2 screenShape;\n",
+       "uniform float lineWidth;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 vertexPosition = mix(coordinates[0],\n",
+       "    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n",
+       "\n",
+       "  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\n",
+       "  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\n",
+       "  vec2 delta = weight * clipOffset * screenShape;\n",
+       "  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n",
+       "\n",
+       "  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n",
+       "  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n",
+       "}\n",
+       "`]),c=s([`precision mediump float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "  gl_FragColor = fragColor;\n",
+       "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}}),4449:(function(i,a,o){\"use strict\";var s=o(2762),l=o(8116),u=o(1493);i.exports=b;var c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(p,k,M,T){this.gl=p,this.buffer=k,this.vao=M,this.shader=T,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var h=f.prototype,d=[0,0,0],v=[0,0,0],m=[0,0];h.isTransparent=function(){return!1},h.drawTransparent=function(p){},h.draw=function(p){var k=this.gl,M=this.vao,T=this.shader;M.bind(),T.bind();var L=p.model||c,x=p.view||c,C=p.projection||c,S;this.axes&&(S=this.axes.lastCubeProps.axis);for(var g=d,P=v,E=0;E<3;++E)S&&S[E]<0?(g[E]=this.bounds[0][E],P[E]=this.bounds[1][E]):(g[E]=this.bounds[1][E],P[E]=this.bounds[0][E]);m[0]=k.drawingBufferWidth,m[1]=k.drawingBufferHeight,T.uniforms.model=L,T.uniforms.view=x,T.uniforms.projection=C,T.uniforms.coordinates=[this.position,g,P],T.uniforms.colors=this.colors,T.uniforms.screenShape=m;for(var E=0;E<3;++E)T.uniforms.lineWidth=this.lineWidth[E]*this.pixelRatio,this.enabled[E]&&(M.draw(k.TRIANGLES,6,6*E),this.drawSides[E]&&M.draw(k.TRIANGLES,12,18+12*E));M.unbind()},h.update=function(p){p&&(\"bounds\"in p&&(this.bounds=p.bounds),\"position\"in p&&(this.position=p.position),\"lineWidth\"in p&&(this.lineWidth=p.lineWidth),\"colors\"in p&&(this.colors=p.colors),\"enabled\"in p&&(this.enabled=p.enabled),\"drawSides\"in p&&(this.drawSides=p.drawSides))},h.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function b(p,k){var M=[];function T(g,P,E,z,q,V){var G=[g,P,E,0,0,0,1];G[z+3]=1,G[z]=q,M.push.apply(M,G),G[6]=-1,M.push.apply(M,G),G[z]=V,M.push.apply(M,G),M.push.apply(M,G),G[6]=1,M.push.apply(M,G),G[z]=q,M.push.apply(M,G)}T(0,0,0,0,0,1),T(0,0,0,1,0,1),T(0,0,0,2,0,1),T(1,0,0,1,-1,1),T(1,0,0,2,-1,1),T(0,1,0,0,-1,1),T(0,1,0,2,-1,1),T(0,0,1,0,-1,1),T(0,0,1,1,-1,1);var L=s(p,M),x=l(p,[{type:p.FLOAT,buffer:L,size:3,offset:0,stride:28},{type:p.FLOAT,buffer:L,size:3,offset:12,stride:28},{type:p.FLOAT,buffer:L,size:1,offset:24,stride:28}]),C=u(p);C.attributes.position.location=0,C.attributes.color.location=1,C.attributes.weight.location=2;var S=new f(p,L,x,C);return S.update(k),S}}),6740:(function(i,a,o){var s=o(3236),l=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 color, position;\n",
+       "attribute vec2 uv;\n",
+       "\n",
+       "uniform float vectorScale, tubeScale;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 eyePosition, lightPosition;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  // Scale the vector magnitude to stay constant with\n",
+       "  // model & view changes.\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * tubePosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n",
+       "\n",
+       "  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n",
+       "  vec4 t_position  = view * tubePosition;\n",
+       "  gl_Position      = projection * t_position;\n",
+       "\n",
+       "  f_color          = color;\n",
+       "  f_data           = tubePosition.xyz;\n",
+       "  f_position       = position.xyz;\n",
+       "  f_uv             = uv;\n",
+       "}\n",
+       "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float cookTorranceSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness,\n",
+       "  float fresnel) {\n",
+       "\n",
+       "  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n",
+       "  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n",
+       "\n",
+       "  //Half angle vector\n",
+       "  vec3 H = normalize(lightDirection + viewDirection);\n",
+       "\n",
+       "  //Geometric term\n",
+       "  float NdotH = max(dot(surfaceNormal, H), 0.0);\n",
+       "  float VdotH = max(dot(viewDirection, H), 0.000001);\n",
+       "  float LdotH = max(dot(lightDirection, H), 0.000001);\n",
+       "  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n",
+       "  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n",
+       "  float G = min(1.0, min(G1, G2));\n",
+       "  \n",
+       "  //Distribution term\n",
+       "  float D = beckmannDistribution(NdotH, roughness);\n",
+       "\n",
+       "  //Fresnel term\n",
+       "  float F = pow(1.0 - VdotN, fresnel);\n",
+       "\n",
+       "  //Multiply terms and done\n",
+       "  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform sampler2D texture;\n",
+       "\n",
+       "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n",
+       "varying vec4 f_color;\n",
+       "varying vec2 f_uv;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "  vec3 N = normalize(f_normal);\n",
+       "  vec3 L = normalize(f_lightDirection);\n",
+       "  vec3 V = normalize(f_eyeDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = litColor * opacity;\n",
+       "}\n",
+       "`]),c=s([`precision highp float;\n",
+       "\n",
+       "precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "vec3 getOrthogonalVector(vec3 v) {\n",
+       "  // Return up-vector for only-z vector.\n",
+       "  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n",
+       "  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n",
+       "  // Assign z = 0, x = -b, y = a:\n",
+       "  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n",
+       "  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n",
+       "    return normalize(vec3(-v.y, v.x, 0.0));\n",
+       "  } else {\n",
+       "    return normalize(vec3(0.0, v.z, -v.y));\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "// Calculate the tube vertex and normal at the given index.\n",
+       "//\n",
+       "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n",
+       "//\n",
+       "// Each tube segment is made up of a ring of vertices.\n",
+       "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n",
+       "// The indexes of tube segments run from 0 to 8.\n",
+       "//\n",
+       "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n",
+       "  float segmentCount = 8.0;\n",
+       "\n",
+       "  float angle = 2.0 * 3.14159 * (index / segmentCount);\n",
+       "\n",
+       "  vec3 u = getOrthogonalVector(d);\n",
+       "  vec3 v = normalize(cross(u, d));\n",
+       "\n",
+       "  vec3 x = u * cos(angle) * length(d);\n",
+       "  vec3 y = v * sin(angle) * length(d);\n",
+       "  vec3 v3 = x + y;\n",
+       "\n",
+       "  normal = normalize(v3);\n",
+       "\n",
+       "  return v3;\n",
+       "}\n",
+       "\n",
+       "attribute vec4 vector;\n",
+       "attribute vec4 position;\n",
+       "attribute vec4 id;\n",
+       "\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float tubeScale;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 normal;\n",
+       "  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n",
+       "  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n",
+       "\n",
+       "  gl_Position = projection * (view * tubePosition);\n",
+       "  f_id        = id;\n",
+       "  f_position  = position.xyz;\n",
+       "}\n",
+       "`]),f=s([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3  clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying vec3 f_position;\n",
+       "varying vec4 f_id;\n",
+       "\n",
+       "void main() {\n",
+       "  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n",
+       "\n",
+       "  gl_FragColor = vec4(pickId, f_id.xyz);\n",
+       "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}}),7815:(function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(T,L,x,C){for(var S=T.points,g=T.velocities,P=T.divergences,E=[],z=[],q=[],V=[],G=[],Z=[],j=0,N=0,H=l.create(),re=l.create(),ae=8,_e=0;_e<S.length;_e++){var Ee=S[_e],Ce=g[_e],ge=P[_e];L===0&&(ge=x*.05),N=s.length(Ce)/C,H=l.create(),s.copy(H,Ce),H[3]=ge;for(var ie=0;ie<ae;ie++)G[ie]=[Ee[0],Ee[1],Ee[2],ie];if(V.length>0)for(var ie=0;ie<ae;ie++){var Se=(ie+1)%ae;E.push(V[ie],G[ie],G[Se],G[Se],V[Se],V[ie]),q.push(re,H,H,H,re,re),Z.push(j,N,N,N,j,j);var ke=E.length;z.push([ke-6,ke-5,ke-4],[ke-3,ke-2,ke-1])}var be=V;V=G,G=be;var Be=re;re=H,H=Be;var Le=j;j=N,N=Le}return{positions:E,cells:z,vectors:q,vertexIntensity:Z}},f=function(T,L,x,C){for(var S=0,g=0;g<T.length;g++)for(var P=T[g].velocities,E=0;E<P.length;E++)S=Math.max(S,s.length(P[E]));for(var z=T.map(function(_e){return c(_e,x,C,S)}),q=[],V=[],G=[],Z=[],g=0;g<z.length;g++){var j=z[g],N=q.length;q=q.concat(j.positions),G=G.concat(j.vectors),Z=Z.concat(j.vertexIntensity);for(var E=0;E<j.cells.length;E++){var H=j.cells[E],re=[];V.push(re);for(var ae=0;ae<H.length;ae++)re.push(H[ae]+N)}}return{positions:q,cells:V,vectors:G,vertexIntensity:Z,colormap:L}},h=function(T,L){var x=T.length,C;for(C=0;C<x;C++){var S=T[C];if(S===L)return C;if(S>L)return C-1}return C},d=function(T,L,x){return T<L?L:T>x?x:T},v=function(T,L,x){var C=L.vectors,S=L.meshgrid,g=T[0],P=T[1],E=T[2],z=S[0].length,q=S[1].length,V=S[2].length,G=h(S[0],g),Z=h(S[1],P),j=h(S[2],E),N=G+1,H=Z+1,re=j+1;if(G=d(G,0,z-1),N=d(N,0,z-1),Z=d(Z,0,q-1),H=d(H,0,q-1),j=d(j,0,V-1),re=d(re,0,V-1),G<0||Z<0||j<0||N>z-1||H>q-1||re>V-1)return s.create();var ae=S[0][G],_e=S[0][N],Ee=S[1][Z],Ce=S[1][H],ge=S[2][j],ie=S[2][re],Se=(g-ae)/(_e-ae),ke=(P-Ee)/(Ce-Ee),be=(E-ge)/(ie-ge);isFinite(Se)||(Se=.5),isFinite(ke)||(ke=.5),isFinite(be)||(be=.5);var Be,Le,me,Pe,ce,He;switch(x.reversedX&&(G=z-1-G,N=z-1-N),x.reversedY&&(Z=q-1-Z,H=q-1-H),x.reversedZ&&(j=V-1-j,re=V-1-re),x.filled){case 5:ce=j,He=re,me=Z*V,Pe=H*V,Be=G*V*q,Le=N*V*q;break;case 4:ce=j,He=re,Be=G*V,Le=N*V,me=Z*V*z,Pe=H*V*z;break;case 3:me=Z,Pe=H,ce=j*q,He=re*q,Be=G*q*V,Le=N*q*V;break;case 2:me=Z,Pe=H,Be=G*q,Le=N*q,ce=j*q*z,He=re*q*z;break;case 1:Be=G,Le=N,ce=j*z,He=re*z,me=Z*z*V,Pe=H*z*V;break;default:Be=G,Le=N,me=Z*z,Pe=H*z,ce=j*z*q,He=re*z*q;break}var lt=C[Be+me+ce],mt=C[Be+me+He],Ht=C[Be+Pe+ce],at=C[Be+Pe+He],ct=C[Le+me+ce],ar=C[Le+me+He],Vt=C[Le+Pe+ce],rr=C[Le+Pe+He],tt=s.create(),je=s.create(),Ue=s.create(),Ae=s.create();s.lerp(tt,lt,ct,Se),s.lerp(je,mt,ar,Se),s.lerp(Ue,Ht,Vt,Se),s.lerp(Ae,at,rr,Se);var rt=s.create(),St=s.create();s.lerp(rt,tt,Ue,ke),s.lerp(St,je,Ae,ke);var Tt=s.create();return s.lerp(Tt,rt,St,be),Tt},m=function(T,L){var x=L[0],C=L[1],S=L[2];return T[0]=x<0?-x:x,T[1]=C<0?-C:C,T[2]=S<0?-S:S,T},b=function(T){var L=1/0;T.sort(function(g,P){return g-P});for(var x=T.length,C=1;C<x;C++){var S=Math.abs(T[C]-T[C-1]);S<L&&(L=S)}return L},p=function(T){for(var L=[],x=[],C=[],S={},g={},P={},E=T.length,z=0;z<E;z++){var q=T[z],V=q[0],G=q[1],Z=q[2];S[V]||(L.push(V),S[V]=!0),g[G]||(x.push(G),g[G]=!0),P[Z]||(C.push(Z),P[Z]=!0)}var j=b(L),N=b(x),H=b(C),re=Math.min(j,N,H);return isFinite(re)?re:1};i.exports=function(T,L){var x=T.startingPositions,C=T.maxLength||1e3,S=T.tubeSize||1,g=T.absoluteTubeSize,P=T.gridFill||\"+x+y+z\",E={};P.indexOf(\"-x\")!==-1&&(E.reversedX=!0),P.indexOf(\"-y\")!==-1&&(E.reversedY=!0),P.indexOf(\"-z\")!==-1&&(E.reversedZ=!0),E.filled=u.indexOf(P.replace(/-/g,\"\").replace(/\\+/g,\"\"));var z=T.getVelocity||function(ar){return v(ar,T,E)},q=T.getDivergence||function(ar,Vt){var rr=s.create(),tt=1e-4;s.add(rr,ar,[tt,0,0]);var je=z(rr);s.subtract(je,je,Vt),s.scale(je,je,1/tt),s.add(rr,ar,[0,tt,0]);var Ue=z(rr);s.subtract(Ue,Ue,Vt),s.scale(Ue,Ue,1/tt),s.add(rr,ar,[0,0,tt]);var Ae=z(rr);return s.subtract(Ae,Ae,Vt),s.scale(Ae,Ae,1/tt),s.add(rr,je,Ue),s.add(rr,rr,Ae),rr},V=[],G=L[0][0],Z=L[0][1],j=L[0][2],N=L[1][0],H=L[1][1],re=L[1][2],ae=function(ar){var Vt=ar[0],rr=ar[1],tt=ar[2];return!(Vt<G||Vt>N||rr<Z||rr>H||tt<j||tt>re)},_e=s.distance(L[0],L[1]),Ee=10*_e/C,Ce=Ee*Ee,ge=1,ie=0,Se=x.length;Se>1&&(ge=p(x));for(var ke=0;ke<Se;ke++){var be=s.create();s.copy(be,x[ke]);var Be=[be],Le=[],me=z(be),Pe=be;Le.push(me);var ce=[],He=q(be,me),lt=s.length(He);isFinite(lt)&&lt>ie&&(ie=lt),ce.push(lt),V.push({points:Be,velocities:Le,divergences:ce});for(var mt=0;mt<C*100&&Be.length<C&&ae(be);){mt++;var Ht=s.clone(me),at=s.squaredLength(Ht);if(at===0)break;if(at>Ce&&s.scale(Ht,Ht,Ee/Math.sqrt(at)),s.add(Ht,Ht,be),me=z(Ht),s.squaredDistance(Pe,Ht)-Ce>-1e-4*Ce){Be.push(Ht),Pe=Ht,Le.push(me);var He=q(Ht,me),lt=s.length(He);isFinite(lt)&&lt>ie&&(ie=lt),ce.push(lt)}be=Ht}}var ct=f(V,T.colormap,ie,ge);return g?ct.tubeScale=g:(ie===0&&(ie=1),ct.tubeScale=S*.5*ge/ie),ct};var k=o(6740),M=o(6405).createMesh;i.exports.createTubeMesh=function(T,L){return M(T,L,{shaders:k,traceType:\"streamtube\"})}}),990:(function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute vec3 f;\n",
+       "attribute vec3 normal;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat4 model, view, projection, inverseModel;\n",
+       "uniform vec3 lightPosition, eyePosition;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 localCoordinate = vec3(uv.zw, f.x);\n",
+       "  worldCoordinate = objectOffset + localCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  gl_Position = clipPosition;\n",
+       "  kill = f.y;\n",
+       "  value = f.z;\n",
+       "  planeCoordinate = uv.xy;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Lighting geometry parameters\n",
+       "  vec4 cameraCoordinate = view * worldPosition;\n",
+       "  cameraCoordinate.xyz /= cameraCoordinate.w;\n",
+       "  lightDirection = lightPosition - cameraCoordinate.xyz;\n",
+       "  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n",
+       "  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n",
+       "}\n",
+       "`]),c=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "float beckmannDistribution(float x, float roughness) {\n",
+       "  float NdotH = max(x, 0.0001);\n",
+       "  float cos2Alpha = NdotH * NdotH;\n",
+       "  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n",
+       "  float roughness2 = roughness * roughness;\n",
+       "  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n",
+       "  return exp(tan2Alpha / roughness2) / denom;\n",
+       "}\n",
+       "\n",
+       "float beckmannSpecular(\n",
+       "  vec3 lightDirection,\n",
+       "  vec3 viewDirection,\n",
+       "  vec3 surfaceNormal,\n",
+       "  float roughness) {\n",
+       "  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec3 lowerBound, upperBound;\n",
+       "uniform float contourTint;\n",
+       "uniform vec4 contourColor;\n",
+       "uniform sampler2D colormap;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n",
+       "uniform float vertexColor;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  if (\n",
+       "    kill > 0.0 ||\n",
+       "    vColor.a == 0.0 ||\n",
+       "    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n",
+       "  ) discard;\n",
+       "\n",
+       "  vec3 N = normalize(surfaceNormal);\n",
+       "  vec3 V = normalize(eyeDirection);\n",
+       "  vec3 L = normalize(lightDirection);\n",
+       "\n",
+       "  if(gl_FrontFacing) {\n",
+       "    N = -N;\n",
+       "  }\n",
+       "\n",
+       "  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n",
+       "  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n",
+       "\n",
+       "  //decide how to interpolate color \\u2014 in vertex or in fragment\n",
+       "  vec4 surfaceColor =\n",
+       "    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n",
+       "    step(.5, vertexColor) * vColor;\n",
+       "\n",
+       "  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n",
+       "\n",
+       "  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n",
+       "}\n",
+       "`]),f=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute vec4 uv;\n",
+       "attribute float f;\n",
+       "\n",
+       "uniform vec3 objectOffset;\n",
+       "uniform mat3 permutation;\n",
+       "uniform mat4 model, view, projection;\n",
+       "uniform float height, zOffset;\n",
+       "uniform sampler2D colormap;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n",
+       "varying vec4 vColor;\n",
+       "\n",
+       "void main() {\n",
+       "  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n",
+       "  worldCoordinate = objectOffset + dataCoordinate;\n",
+       "  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n",
+       "  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n",
+       "\n",
+       "  vec4 clipPosition = projection * (view * worldPosition);\n",
+       "  clipPosition.z += zOffset;\n",
+       "\n",
+       "  gl_Position = clipPosition;\n",
+       "  value = f + objectOffset.z;\n",
+       "  kill = -1.0;\n",
+       "  planeCoordinate = uv.zw;\n",
+       "\n",
+       "  vColor = texture2D(colormap, vec2(value, value));\n",
+       "\n",
+       "  //Don't do lighting for contours\n",
+       "  surfaceNormal   = vec3(1,0,0);\n",
+       "  eyeDirection    = vec3(0,1,0);\n",
+       "  lightDirection  = vec3(0,0,1);\n",
+       "}\n",
+       "`]),h=l([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "bool outOfRange(float a, float b, float p) {\n",
+       "  return ((p > max(a, b)) || \n",
+       "          (p < min(a, b)));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n",
+       "  return (outOfRange(a.x, b.x, p.x) ||\n",
+       "          outOfRange(a.y, b.y, p.y) ||\n",
+       "          outOfRange(a.z, b.z, p.z));\n",
+       "}\n",
+       "\n",
+       "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n",
+       "  return outOfRange(a.xyz, b.xyz, p.xyz);\n",
+       "}\n",
+       "\n",
+       "uniform vec2 shape;\n",
+       "uniform vec3 clipBounds[2];\n",
+       "uniform float pickId;\n",
+       "\n",
+       "varying float value, kill;\n",
+       "varying vec3 worldCoordinate;\n",
+       "varying vec2 planeCoordinate;\n",
+       "varying vec3 surfaceNormal;\n",
+       "\n",
+       "vec2 splitFloat(float v) {\n",
+       "  float vh = 255.0 * v;\n",
+       "  float upper = floor(vh);\n",
+       "  float lower = fract(vh);\n",
+       "  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  if ((kill > 0.0) ||\n",
+       "      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n",
+       "\n",
+       "  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n",
+       "  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n",
+       "  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n",
+       "}\n",
+       "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}}),9499:(function(i,a,o){\"use strict\";i.exports=Be;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),m=o(9618),b=o(3711),p=o(6760),k=o(7608),M=o(2478),T=o(6199),L=o(990),x=L.createShader,C=L.createContourShader,S=L.createPickShader,g=L.createPickContourShader,P=40,E=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],z=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],q=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Le=0;Le<3;++Le){var me=q[Le],Pe=(Le+1)%3,ce=(Le+2)%3;me[Pe+0]=1,me[ce+3]=1,me[Le+6]=1}})();function V(Le,me,Pe,ce,He){this.position=Le,this.index=me,this.uv=Pe,this.level=ce,this.dataCoordinate=He}var G=256;function Z(Le,me,Pe,ce,He,lt,mt,Ht,at,ct,ar,Vt,rr,tt,je){this.gl=Le,this.shape=me,this.bounds=Pe,this.objectOffset=je,this.intensityBounds=[],this._shader=ce,this._pickShader=He,this._coordinateBuffer=lt,this._vao=mt,this._colorMap=Ht,this._contourShader=at,this._contourPickShader=ct,this._contourBuffer=ar,this._contourVAO=Vt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=rr,this._dynamicVAO=tt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[m(f.mallocFloat(1024),[0,0]),m(f.mallocFloat(1024),[0,0]),m(f.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var j=Z.prototype;j.genColormap=function(Le,me){var Pe=!1,ce=v([h({colormap:Le,nshades:G,format:\"rgba\"}).map(function(He,lt){var mt=me?N(lt/255,me):He[3];return mt<1&&(Pe=!0),[He[0],He[1],He[2],255*mt]})]);return d.divseq(ce,255),this.hasAlphaScale=Pe,ce},j.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},j.isOpaque=function(){return!this.isTransparent()},j.pickSlots=1,j.setPickBase=function(Le){this.pickId=Le};function N(Le,me){if(!me||!me.length)return 1;for(var Pe=0;Pe<me.length;++Pe){if(me.length<2)return 1;if(me[Pe][0]===Le)return me[Pe][1];if(me[Pe][0]>Le&&Pe>0){var ce=(me[Pe][0]-Le)/(me[Pe][0]-me[Pe-1][0]);return me[Pe][1]*(1-ce)+ce*me[Pe-1][1]}}return 1}var H=[0,0,0],re={showSurface:!1,showContour:!1,projections:[E.slice(),E.slice(),E.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function ae(Le,me){var Pe,ce,He,lt=me.axes&&me.axes.lastCubeProps.axis||H,mt=me.showSurface,Ht=me.showContour;for(Pe=0;Pe<3;++Pe)for(mt=mt||me.surfaceProject[Pe],ce=0;ce<3;++ce)Ht=Ht||me.contourProject[Pe][ce];for(Pe=0;Pe<3;++Pe){var at=re.projections[Pe];for(ce=0;ce<16;++ce)at[ce]=0;for(ce=0;ce<4;++ce)at[5*ce]=1;at[5*Pe]=0,at[12+Pe]=me.axesBounds[+(lt[Pe]>0)][Pe],p(at,Le.model,at);var ct=re.clipBounds[Pe];for(He=0;He<2;++He)for(ce=0;ce<3;++ce)ct[He][ce]=Le.clipBounds[He][ce];ct[0][Pe]=-1e8,ct[1][Pe]=1e8}return re.showSurface=mt,re.showContour=Ht,re}var _e={model:E,view:E,projection:E,inverseModel:E.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},Ee=E.slice(),Ce=[1,0,0,0,1,0,0,0,1];function ge(Le,me){Le=Le||{};var Pe=this.gl;Pe.disable(Pe.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Le.model||E,ce.view=Le.view||E,ce.projection=Le.projection||E,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=k(ce.inverseModel,ce.model);for(var He=0;He<2;++He)for(var lt=ce.clipBounds[He],mt=0;mt<3;++mt)lt[mt]=Math.min(Math.max(this.clipBounds[He][mt],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=Ce,ce.vertexColor=this.vertexColor;var Ht=Ee;for(p(Ht,ce.view,ce.model),p(Ht,ce.projection,Ht),k(Ht,Ht),He=0;He<3;++He)ce.eyePosition[He]=Ht[12+He]/Ht[15];var at=Ht[15];for(He=0;He<3;++He)at+=this.lightPosition[He]*Ht[4*He+3];for(He=0;He<3;++He){var ct=Ht[12+He];for(mt=0;mt<3;++mt)ct+=Ht[4*mt+He]*this.lightPosition[mt];ce.lightPosition[He]=ct/at}var ar=ae(ce,this);if(ar.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Pe.TRIANGLES,this._vertexCount),He=0;He<3;++He)!this.surfaceProject[He]||!this.vertexCount||(this._shader.uniforms.model=ar.projections[He],this._shader.uniforms.clipBounds=ar.clipBounds[He],this._vao.draw(Pe.TRIANGLES,this._vertexCount));this._vao.unbind()}if(ar.showContour){var Vt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,Vt.bind(),Vt.uniforms=ce;var rr=this._contourVAO;for(rr.bind(),He=0;He<3;++He)for(Vt.uniforms.permutation=q[He],Pe.lineWidth(this.contourWidth[He]*this.pixelRatio),mt=0;mt<this.contourLevels[He].length;++mt)mt===this.highlightLevel[He]?(Vt.uniforms.contourColor=this.highlightColor[He],Vt.uniforms.contourTint=this.highlightTint[He]):(mt===0||mt-1===this.highlightLevel[He])&&(Vt.uniforms.contourColor=this.contourColor[He],Vt.uniforms.contourTint=this.contourTint[He]),this._contourCounts[He][mt]&&(Vt.uniforms.height=this.contourLevels[He][mt],rr.draw(Pe.LINES,this._contourCounts[He][mt],this._contourOffsets[He][mt]));for(He=0;He<3;++He)for(Vt.uniforms.model=ar.projections[He],Vt.uniforms.clipBounds=ar.clipBounds[He],mt=0;mt<3;++mt)if(this.contourProject[He][mt]){Vt.uniforms.permutation=q[mt],Pe.lineWidth(this.contourWidth[mt]*this.pixelRatio);for(var tt=0;tt<this.contourLevels[mt].length;++tt)tt===this.highlightLevel[mt]?(Vt.uniforms.contourColor=this.highlightColor[mt],Vt.uniforms.contourTint=this.highlightTint[mt]):(tt===0||tt-1===this.highlightLevel[mt])&&(Vt.uniforms.contourColor=this.contourColor[mt],Vt.uniforms.contourTint=this.contourTint[mt]),this._contourCounts[mt][tt]&&(Vt.uniforms.height=this.contourLevels[mt][tt],rr.draw(Pe.LINES,this._contourCounts[mt][tt],this._contourOffsets[mt][tt]))}for(rr.unbind(),rr=this._dynamicVAO,rr.bind(),He=0;He<3;++He)if(this._dynamicCounts[He]!==0)for(Vt.uniforms.model=ce.model,Vt.uniforms.clipBounds=ce.clipBounds,Vt.uniforms.permutation=q[He],Pe.lineWidth(this.dynamicWidth[He]*this.pixelRatio),Vt.uniforms.contourColor=this.dynamicColor[He],Vt.uniforms.contourTint=this.dynamicTint[He],Vt.uniforms.height=this.dynamicLevel[He],rr.draw(Pe.LINES,this._dynamicCounts[He],this._dynamicOffsets[He]),mt=0;mt<3;++mt)this.contourProject[mt][He]&&(Vt.uniforms.model=ar.projections[mt],Vt.uniforms.clipBounds=ar.clipBounds[mt],rr.draw(Pe.LINES,this._dynamicCounts[He],this._dynamicOffsets[He]));rr.unbind()}}j.draw=function(Le){return ge.call(this,Le,!1)},j.drawTransparent=function(Le){return ge.call(this,Le,!0)};var ie={model:E,view:E,projection:E,inverseModel:E,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(Le){Le=Le||{};var me=this.gl;me.disable(me.CULL_FACE);var Pe=ie;Pe.model=Le.model||E,Pe.view=Le.view||E,Pe.projection=Le.projection||E,Pe.shape=this._field[2].shape,Pe.pickId=this.pickId/255,Pe.lowerBound=this.bounds[0],Pe.upperBound=this.bounds[1],Pe.objectOffset=this.objectOffset,Pe.permutation=Ce;for(var ce=0;ce<2;++ce)for(var He=Pe.clipBounds[ce],lt=0;lt<3;++lt)He[lt]=Math.min(Math.max(this.clipBounds[ce][lt],-1e8),1e8);var mt=ae(Pe,this);if(mt.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=Pe,this._vao.bind(),this._vao.draw(me.TRIANGLES,this._vertexCount),ce=0;ce<3;++ce)this.surfaceProject[ce]&&(this._pickShader.uniforms.model=mt.projections[ce],this._pickShader.uniforms.clipBounds=mt.clipBounds[ce],this._vao.draw(me.TRIANGLES,this._vertexCount));this._vao.unbind()}if(mt.showContour){var Ht=this._contourPickShader;Ht.bind(),Ht.uniforms=Pe;var at=this._contourVAO;for(at.bind(),lt=0;lt<3;++lt)for(me.lineWidth(this.contourWidth[lt]*this.pixelRatio),Ht.uniforms.permutation=q[lt],ce=0;ce<this.contourLevels[lt].length;++ce)this._contourCounts[lt][ce]&&(Ht.uniforms.height=this.contourLevels[lt][ce],at.draw(me.LINES,this._contourCounts[lt][ce],this._contourOffsets[lt][ce]));for(ce=0;ce<3;++ce)for(Ht.uniforms.model=mt.projections[ce],Ht.uniforms.clipBounds=mt.clipBounds[ce],lt=0;lt<3;++lt)if(this.contourProject[ce][lt]){Ht.uniforms.permutation=q[lt],me.lineWidth(this.contourWidth[lt]*this.pixelRatio);for(var ct=0;ct<this.contourLevels[lt].length;++ct)this._contourCounts[lt][ct]&&(Ht.uniforms.height=this.contourLevels[lt][ct],at.draw(me.LINES,this._contourCounts[lt][ct],this._contourOffsets[lt][ct]))}at.unbind()}},j.pick=function(Le){if(!Le||Le.id!==this.pickId)return null;var me=this._field[2].shape,Pe=this._pickResult,ce=me[0]*(Le.value[0]+(Le.value[2]>>4)/16)/255,He=Math.floor(ce),lt=ce-He,mt=me[1]*(Le.value[1]+(Le.value[2]&15)/16)/255,Ht=Math.floor(mt),at=mt-Ht;He+=1,Ht+=1;var ct=Pe.position;ct[0]=ct[1]=ct[2]=0;for(var ar=0;ar<2;++ar)for(var Vt=ar?lt:1-lt,rr=0;rr<2;++rr)for(var tt=rr?at:1-at,je=He+ar,Ue=Ht+rr,Ae=Vt*tt,rt=0;rt<3;++rt)ct[rt]+=this._field[rt].get(je,Ue)*Ae;for(var St=this._pickResult.level,Tt=0;Tt<3;++Tt)if(St[Tt]=M.le(this.contourLevels[Tt],ct[Tt]),St[Tt]<0)this.contourLevels[Tt].length>0&&(St[Tt]=0);else if(St[Tt]<this.contourLevels[Tt].length-1){var dt=this.contourLevels[Tt][St[Tt]],Et=this.contourLevels[Tt][St[Tt]+1];Math.abs(dt-ct[Tt])>Math.abs(Et-ct[Tt])&&(St[Tt]+=1)}for(Pe.index[0]=lt<.5?He:He+1,Pe.index[1]=at<.5?Ht:Ht+1,Pe.uv[0]=ce/me[0],Pe.uv[1]=mt/me[1],rt=0;rt<3;++rt)Pe.dataCoordinate[rt]=this._field[rt].get(Pe.index[0],Pe.index[1]);return Pe},j.padField=function(Le,me){var Pe=me.shape.slice(),ce=Le.shape.slice();d.assign(Le.lo(1,1).hi(Pe[0],Pe[1]),me),d.assign(Le.lo(1).hi(Pe[0],1),me.hi(Pe[0],1)),d.assign(Le.lo(1,ce[1]-1).hi(Pe[0],1),me.lo(0,Pe[1]-1).hi(Pe[0],1)),d.assign(Le.lo(0,1).hi(1,Pe[1]),me.hi(1)),d.assign(Le.lo(ce[0]-1,1).hi(1,Pe[1]),me.lo(Pe[0]-1)),Le.set(0,0,me.get(0,0)),Le.set(0,ce[1]-1,me.get(0,Pe[1]-1)),Le.set(ce[0]-1,0,me.get(Pe[0]-1,0)),Le.set(ce[0]-1,ce[1]-1,me.get(Pe[0]-1,Pe[1]-1))};function Se(Le,me){return Array.isArray(Le)?[me(Le[0]),me(Le[1]),me(Le[2])]:[me(Le),me(Le),me(Le)]}function ke(Le){return Array.isArray(Le)?Le.length===3?[Le[0],Le[1],Le[2],1]:[Le[0],Le[1],Le[2],Le[3]]:[0,0,0,1]}function be(Le){if(Array.isArray(Le)){if(Array.isArray(Le))return[ke(Le[0]),ke(Le[1]),ke(Le[2])];var me=ke(Le);return[me.slice(),me.slice(),me.slice()]}}j.update=function(Le){Le=Le||{},this.objectOffset=Le.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Le&&(this.contourWidth=Se(Le.contourWidth,Number)),\"showContour\"in Le&&(this.showContour=Se(Le.showContour,Boolean)),\"showSurface\"in Le&&(this.showSurface=!!Le.showSurface),\"contourTint\"in Le&&(this.contourTint=Se(Le.contourTint,Boolean)),\"contourColor\"in Le&&(this.contourColor=be(Le.contourColor)),\"contourProject\"in Le&&(this.contourProject=Se(Le.contourProject,function(yn){return Se(yn,Boolean)})),\"surfaceProject\"in Le&&(this.surfaceProject=Le.surfaceProject),\"dynamicColor\"in Le&&(this.dynamicColor=be(Le.dynamicColor)),\"dynamicTint\"in Le&&(this.dynamicTint=Se(Le.dynamicTint,Number)),\"dynamicWidth\"in Le&&(this.dynamicWidth=Se(Le.dynamicWidth,Number)),\"opacity\"in Le&&(this.opacity=Le.opacity),\"opacityscale\"in Le&&(this.opacityscale=Le.opacityscale),\"colorBounds\"in Le&&(this.colorBounds=Le.colorBounds),\"vertexColor\"in Le&&(this.vertexColor=Le.vertexColor?1:0),\"colormap\"in Le&&this._colorMap.setPixels(this.genColormap(Le.colormap,this.opacityscale));var me=Le.field||Le.coords&&Le.coords[2]||null,Pe=!1;if(me||(this._field[2].shape[0]||this._field[2].shape[2]?me=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):me=this._field[2].hi(0,0)),\"field\"in Le||\"coords\"in Le){var ce=(me.shape[0]+2)*(me.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=m(this._field[2].data,[me.shape[0]+2,me.shape[1]+2]),this.padField(this._field[2],me),this.shape=me.shape.slice();for(var He=this.shape,lt=0;lt<2;++lt)this._field[2].size>this._field[lt].data.length&&(f.freeFloat(this._field[lt].data),this._field[lt].data=f.mallocFloat(this._field[2].size)),this._field[lt]=m(this._field[lt].data,[He[0]+2,He[1]+2]);if(Le.coords){var mt=Le.coords;if(!Array.isArray(mt)||mt.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(lt=0;lt<2;++lt){var Ht=mt[lt];for(rr=0;rr<2;++rr)if(Ht.shape[rr]!==He[rr])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[lt],Ht)}}else if(Le.ticks){var at=Le.ticks;if(!Array.isArray(at)||at.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(lt=0;lt<2;++lt){var ct=at[lt];if((Array.isArray(ct)||ct.length)&&(ct=m(ct)),ct.shape[0]!==He[lt])throw new Error(\"gl-surface: invalid tick length\");var ar=m(ct.data,He);ar.stride[lt]=ct.stride[0],ar.stride[lt^1]=0,this.padField(this._field[lt],ar)}}else{for(lt=0;lt<2;++lt){var Vt=[0,0];Vt[lt]=1,this._field[lt]=m(this._field[lt].data,[He[0]+2,He[1]+2],Vt,0)}this._field[0].set(0,0,0);for(var rr=0;rr<He[0];++rr)this._field[0].set(rr+1,0,rr);for(this._field[0].set(He[0]+1,0,He[0]-1),this._field[1].set(0,0,0),rr=0;rr<He[1];++rr)this._field[1].set(0,rr+1,rr);this._field[1].set(0,He[1]+1,He[1]-1)}var tt=this._field,je=m(f.mallocFloat(tt[2].size*3*2),[3,He[0]+2,He[1]+2,2]);for(lt=0;lt<3;++lt)T(je.pick(lt),tt[lt],\"mirror\");var Ue=m(f.mallocFloat(tt[2].size*3),[He[0]+2,He[1]+2,3]);for(lt=0;lt<He[0]+2;++lt)for(rr=0;rr<He[1]+2;++rr){var Ae=je.get(0,lt,rr,0),rt=je.get(0,lt,rr,1),St=je.get(1,lt,rr,0),Tt=je.get(1,lt,rr,1),dt=je.get(2,lt,rr,0),Et=je.get(2,lt,rr,1),pt=St*Et-Tt*dt,jt=dt*rt-Et*Ae,or=Ae*Tt-rt*St,mr=Math.sqrt(pt*pt+jt*jt+or*or);mr<1e-8?(mr=Math.max(Math.abs(pt),Math.abs(jt),Math.abs(or)),mr<1e-8?(or=1,jt=pt=0,mr=1):mr=1/mr):mr=1/Math.sqrt(mr),Ue.set(lt,rr,0,pt*mr),Ue.set(lt,rr,1,jt*mr),Ue.set(lt,rr,2,or*mr)}f.free(je.data);var Ar=[1/0,1/0,1/0],ei=[-1/0,-1/0,-1/0],qr=1/0,jr=-1/0,gt=(He[0]-1)*(He[1]-1)*6,Ge=f.mallocFloat(s.nextPow2(10*gt)),Je=0,We=0;for(lt=0;lt<He[0]-1;++lt)e:for(rr=0;rr<He[1]-1;++rr){for(var et=0;et<2;++et)for(var xt=0;xt<2;++xt)for(var At=0;At<3;++At){var Kt=this._field[At].get(1+lt+et,1+rr+xt);if(isNaN(Kt)||!isFinite(Kt))continue e}for(At=0;At<6;++At){var Qt=lt+z[At][0],Mr=rr+z[At][1],Gr=this._field[0].get(Qt+1,Mr+1),Ir=this._field[1].get(Qt+1,Mr+1);Kt=this._field[2].get(Qt+1,Mr+1),pt=Ue.get(Qt+1,Mr+1,0),jt=Ue.get(Qt+1,Mr+1,1),or=Ue.get(Qt+1,Mr+1,2),Le.intensity&&(Yr=Le.intensity.get(Qt,Mr));var Yr=Le.intensity?Le.intensity.get(Qt,Mr):Kt+this.objectOffset[2];Ge[Je++]=Qt,Ge[Je++]=Mr,Ge[Je++]=Gr,Ge[Je++]=Ir,Ge[Je++]=Kt,Ge[Je++]=0,Ge[Je++]=Yr,Ge[Je++]=pt,Ge[Je++]=jt,Ge[Je++]=or,Ar[0]=Math.min(Ar[0],Gr+this.objectOffset[0]),Ar[1]=Math.min(Ar[1],Ir+this.objectOffset[1]),Ar[2]=Math.min(Ar[2],Kt+this.objectOffset[2]),qr=Math.min(qr,Yr),ei[0]=Math.max(ei[0],Gr+this.objectOffset[0]),ei[1]=Math.max(ei[1],Ir+this.objectOffset[1]),ei[2]=Math.max(ei[2],Kt+this.objectOffset[2]),jr=Math.max(jr,Yr),We+=1}}for(Le.intensityBounds&&(qr=+Le.intensityBounds[0],jr=+Le.intensityBounds[1]),lt=6;lt<Je;lt+=10)Ge[lt]=(Ge[lt]-qr)/(jr-qr);this._vertexCount=We,this._coordinateBuffer.update(Ge.subarray(0,Je)),f.freeFloat(Ge),f.free(Ue.data),this.bounds=[Ar,ei],this.intensity=Le.intensity||this._field[2],(this.intensityBounds[0]!==qr||this.intensityBounds[1]!==jr)&&(Pe=!0),this.intensityBounds=[qr,jr]}if(\"levels\"in Le){var _i=Le.levels;for(Array.isArray(_i[0])?_i=_i.slice():_i=[[],[],_i],lt=0;lt<3;++lt)_i[lt]=_i[lt].slice(),_i[lt].sort(function(yn,Mn){return yn-Mn});for(lt=0;lt<3;++lt)for(rr=0;rr<_i[lt].length;++rr)_i[lt][rr]-=this.objectOffset[lt];e:for(lt=0;lt<3;++lt){if(_i[lt].length!==this.contourLevels[lt].length){Pe=!0;break}for(rr=0;rr<_i[lt].length;++rr)if(_i[lt][rr]!==this.contourLevels[lt][rr]){Pe=!0;break e}}this.contourLevels=_i}if(Pe){tt=this._field,He=this.shape;for(var Pi=[],ai=0;ai<3;++ai){var mi=this.contourLevels[ai],un=[],Fn=[],An=[0,0,0];for(lt=0;lt<mi.length;++lt){var Hn=b(this._field[ai],mi[lt]);un.push(Pi.length/5|0),We=0;e:for(rr=0;rr<Hn.cells.length;++rr){var Qn=Hn.cells[rr];for(At=0;At<2;++At){var Vi=Hn.positions[Qn[At]],Jn=Vi[0],Yn=Math.floor(Jn)|0,Gt=Jn-Yn,wt=Vi[1],tr=Math.floor(wt)|0,ir=wt-tr,wr=!1;t:for(var Xr=0;Xr<3;++Xr){An[Xr]=0;var ti=(ai+Xr+1)%3;for(et=0;et<2;++et){var $r=et?Gt:1-Gt;for(Qt=Math.min(Math.max(Yn+et,0),He[0])|0,xt=0;xt<2;++xt){var Ri=xt?ir:1-ir;if(Mr=Math.min(Math.max(tr+xt,0),He[1])|0,Xr<2?Kt=this._field[ti].get(Qt,Mr):Kt=(this.intensity.get(Qt,Mr)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Kt)||isNaN(Kt)){wr=!0;break t}var Hi=$r*Ri;An[Xr]+=Hi*Kt}}}if(!wr)Pi.push(An[0],An[1],Vi[0],Vi[1],An[2]),We+=1;else{if(At>0){for(var en=0;en<5;++en)Pi.pop();We-=1}continue e}}}Fn.push(We)}this._contourOffsets[ai]=un,this._contourCounts[ai]=Fn}var fn=f.mallocFloat(Pi.length);for(lt=0;lt<Pi.length;++lt)fn[lt]=Pi[lt];this._contourBuffer.update(fn),f.freeFloat(fn)}},j.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var Le=0;Le<3;++Le)f.freeFloat(this._field[Le].data)},j.highlight=function(Le){var me;if(!Le){this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],this.highlightLevel=[-1,-1,-1];return}for(me=0;me<3;++me)this.enableHighlight[me]?this.highlightLevel[me]=Le.level[me]:this.highlightLevel[me]=-1;var Pe;for(this.snapToData?Pe=Le.dataCoordinate:Pe=Le.position,me=0;me<3;++me)Pe[me]-=this.objectOffset[me];if(!((!this.enableDynamic[0]||Pe[0]===this.dynamicLevel[0])&&(!this.enableDynamic[1]||Pe[1]===this.dynamicLevel[1])&&(!this.enableDynamic[2]||Pe[2]===this.dynamicLevel[2]))){for(var ce=0,He=this.shape,lt=f.mallocFloat(12*He[0]*He[1]),mt=0;mt<3;++mt){if(!this.enableDynamic[mt]){this.dynamicLevel[mt]=NaN,this._dynamicCounts[mt]=0;continue}this.dynamicLevel[mt]=Pe[mt];var Ht=(mt+1)%3,at=(mt+2)%3,ct=this._field[mt],ar=this._field[Ht],Vt=this._field[at],rr=b(ct,Pe[mt]),tt=rr.cells,je=rr.positions;for(this._dynamicOffsets[mt]=ce,me=0;me<tt.length;++me)for(var Ue=tt[me],Ae=0;Ae<2;++Ae){var rt=je[Ue[Ae]],St=+rt[0],Tt=St|0,dt=Math.min(Tt+1,He[0])|0,Et=St-Tt,pt=1-Et,jt=+rt[1],or=jt|0,mr=Math.min(or+1,He[1])|0,Ar=jt-or,ei=1-Ar,qr=pt*ei,jr=pt*Ar,gt=Et*ei,Ge=Et*Ar,Je=qr*ar.get(Tt,or)+jr*ar.get(Tt,mr)+gt*ar.get(dt,or)+Ge*ar.get(dt,mr),We=qr*Vt.get(Tt,or)+jr*Vt.get(Tt,mr)+gt*Vt.get(dt,or)+Ge*Vt.get(dt,mr);if(isNaN(Je)||isNaN(We)){Ae&&(ce-=1);break}lt[2*ce+0]=Je,lt[2*ce+1]=We,ce+=1}this._dynamicCounts[mt]=ce-this._dynamicOffsets[mt]}this._dynamicBuffer.update(lt.subarray(0,2*ce)),f.freeFloat(lt)}};function Be(Le){var me=Le.gl,Pe=x(me),ce=S(me),He=C(me),lt=g(me),mt=l(me),Ht=u(me,[{buffer:mt,size:4,stride:P,offset:0},{buffer:mt,size:3,stride:P,offset:16},{buffer:mt,size:3,stride:P,offset:28}]),at=l(me),ct=u(me,[{buffer:at,size:4,stride:20,offset:0},{buffer:at,size:1,stride:20,offset:16}]),ar=l(me),Vt=u(me,[{buffer:ar,size:2,type:me.FLOAT}]),rr=c(me,1,G,me.RGBA,me.UNSIGNED_BYTE);rr.minFilter=me.LINEAR,rr.magFilter=me.LINEAR;var tt=new Z(me,[0,0],[[0,0,0],[0,0,0]],Pe,ce,mt,Ht,rr,He,lt,at,ct,ar,Vt,[0,0,0]),je={levels:[[],[],[]]};for(var Ue in Le)je[Ue]=Le[Ue];return je.colormap=je.colormap||\"jet\",tt.update(je),tt}}),7766:(function(i,a,o){\"use strict\";var s=o(9618),l=o(5298),u=o(1888);i.exports=g;var c=null,f=null,h=null;function d(P){c=[P.LINEAR,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_NEAREST],f=[P.NEAREST,P.LINEAR,P.NEAREST_MIPMAP_NEAREST,P.NEAREST_MIPMAP_LINEAR,P.LINEAR_MIPMAP_NEAREST,P.LINEAR_MIPMAP_LINEAR],h=[P.REPEAT,P.CLAMP_TO_EDGE,P.MIRRORED_REPEAT]}function v(P){return typeof HTMLCanvasElement!=\"undefined\"&&P instanceof HTMLCanvasElement||typeof HTMLImageElement!=\"undefined\"&&P instanceof HTMLImageElement||typeof HTMLVideoElement!=\"undefined\"&&P instanceof HTMLVideoElement||typeof ImageData!=\"undefined\"&&P instanceof ImageData}var m=function(P,E){l.muls(P,E,255)};function b(P,E,z){var q=P.gl,V=q.getParameter(q.MAX_TEXTURE_SIZE);if(E<0||E>V||z<0||z>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[E,z],P.bind(),q.texImage2D(q.TEXTURE_2D,0,P.format,E,z,0,P.format,P.type,null),P._mipLevels=[0],P}function p(P,E,z,q,V,G){this.gl=P,this.handle=E,this.format=V,this.type=G,this._shape=[z,q],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var Z=this,j=[this._wrapS,this._wrapT];Object.defineProperties(j,[{get:function(){return Z._wrapS},set:function(H){return Z.wrapS=H}},{get:function(){return Z._wrapT},set:function(H){return Z.wrapT=H}}]),this._wrapVector=j;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return Z._shape[0]},set:function(H){return Z.width=H}},{get:function(){return Z._shape[1]},set:function(H){return Z.height=H}}]),this._shapeVector=N}var k=p.prototype;Object.defineProperties(k,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var E=this.gl;if(this.type===E.FLOAT&&c.indexOf(P)>=0&&(E.getExtension(\"OES_texture_float_linear\")||(P=E.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return E.texParameteri(E.TEXTURE_2D,E.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var E=this.gl;if(this.type===E.FLOAT&&c.indexOf(P)>=0&&(E.getExtension(\"OES_texture_float_linear\")||(P=E.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return E.texParameteri(E.TEXTURE_2D,E.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var E=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,E!==this._anisoSamples){var z=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");z&&this.gl.texParameterf(this.gl.TEXTURE_2D,z.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var E=0;E<2;++E)if(h.indexOf(P[E])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var z=this.gl;return this.bind(),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_S,this._wrapS),z.texParameteri(z.TEXTURE_2D,z.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),k.bind=function(P){var E=this.gl;return P!==void 0&&E.activeTexture(E.TEXTURE0+(P|0)),E.bindTexture(E.TEXTURE_2D,this.handle),P!==void 0?P|0:E.getParameter(E.ACTIVE_TEXTURE)-E.TEXTURE0},k.dispose=function(){this.gl.deleteTexture(this.handle)},k.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),E=0;P>0;++E,P>>>=1)this._mipLevels.indexOf(E)<0&&this._mipLevels.push(E)},k.setPixels=function(P,E,z,q){var V=this.gl;this.bind(),Array.isArray(E)?(q=z,z=E[1]|0,E=E[0]|0):(E=E||0,z=z||0),q=q||0;var G=v(P)?P:P.raw;if(G){var Z=this._mipLevels.indexOf(q)<0;Z?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,G),this._mipLevels.push(q)):V.texSubImage2D(V.TEXTURE_2D,q,E,z,this.format,this.type,G)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||E+P.shape[1]>this._shape[1]>>>q||z+P.shape[0]>this._shape[0]>>>q||E<0||z<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");T(V,E,z,q,this.format,this.type,this._mipLevels,P)}else throw new Error(\"gl-texture2d: Unsupported data type\")};function M(P,E){return P.length===3?E[2]===1&&E[1]===P[0]*P[2]&&E[0]===P[2]:E[0]===1&&E[1]===P[0]}function T(P,E,z,q,V,G,Z,j){var N=j.dtype,H=j.shape.slice();if(H.length<2||H.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var re=0,ae=0,_e=M(H,j.stride.slice());N===\"float32\"?re=P.FLOAT:N===\"float64\"?(re=P.FLOAT,_e=!1,N=\"float32\"):N===\"uint8\"?re=P.UNSIGNED_BYTE:(re=P.UNSIGNED_BYTE,_e=!1,N=\"uint8\");var Ee=1;if(H.length===2)ae=P.LUMINANCE,H=[H[0],H[1],1],j=s(j.data,H,[j.stride[0],j.stride[1],1],j.offset);else if(H.length===3){if(H[2]===1)ae=P.ALPHA;else if(H[2]===2)ae=P.LUMINANCE_ALPHA;else if(H[2]===3)ae=P.RGB;else if(H[2]===4)ae=P.RGBA;else throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");Ee=H[2]}else throw new Error(\"gl-texture2d: Invalid shape for texture\");if((ae===P.LUMINANCE||ae===P.ALPHA)&&(V===P.LUMINANCE||V===P.ALPHA)&&(ae=V),ae!==V)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var Ce=j.size,ge=Z.indexOf(q)<0;if(ge&&Z.push(q),re===G&&_e)j.offset===0&&j.data.length===Ce?ge?P.texImage2D(P.TEXTURE_2D,q,V,H[0],H[1],0,V,G,j.data):P.texSubImage2D(P.TEXTURE_2D,q,E,z,H[0],H[1],V,G,j.data):ge?P.texImage2D(P.TEXTURE_2D,q,V,H[0],H[1],0,V,G,j.data.subarray(j.offset,j.offset+Ce)):P.texSubImage2D(P.TEXTURE_2D,q,E,z,H[0],H[1],V,G,j.data.subarray(j.offset,j.offset+Ce));else{var ie;G===P.FLOAT?ie=u.mallocFloat32(Ce):ie=u.mallocUint8(Ce);var 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z=this.shape[0],q=this.shape[1],V=this.shape[2],G=this.shape[3],Z=this.shape[4],j=this.stride[0],N=this.stride[1],H=this.stride[2],re=this.stride[3],ae=this.stride[4],_e=this.offset,Ee=0,Ce=Math.ceil;return typeof C==\"number\"&&(Ee=C|0,Ee<0?(_e+=j*(z-1),z=Ce(-z/Ee)):z=Ce(z/Ee),j*=Ee),typeof S==\"number\"&&(Ee=S|0,Ee<0?(_e+=N*(q-1),q=Ce(-q/Ee)):q=Ce(q/Ee),N*=Ee),typeof g==\"number\"&&(Ee=g|0,Ee<0?(_e+=H*(V-1),V=Ce(-V/Ee)):V=Ce(V/Ee),H*=Ee),typeof P==\"number\"&&(Ee=P|0,Ee<0?(_e+=re*(G-1),G=Ce(-G/Ee)):G=Ce(G/Ee),re*=Ee),typeof E==\"number\"&&(Ee=E|0,Ee<0?(_e+=ae*(Z-1),Z=Ce(-Z/Ee)):Z=Ce(Z/Ee),ae*=Ee),new T(this.data,z,q,V,G,Z,j,N,H,re,ae,_e)},L.transpose=function(C,S,g,P,E){C=C===void 0?0:C|0,S=S===void 0?1:S|0,g=g===void 0?2:g|0,P=P===void 0?3:P|0,E=E===void 0?4:E|0;var z=this.shape,q=this.stride;return new T(this.data,z[C],z[S],z[g],z[P],z[E],q[C],q[S],q[g],q[P],q[E],this.offset)},L.pick=function(C,S,g,P,E){var z=[],q=[],V=this.offset;typeof 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Int32Array]\":return\"int32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(b)?\"array\":\"generic\"}var v={generic:[],buffer:[],array:[],float32:[],float64:[],int8:[],int16:[],int32:[],uint8_clamped:[],uint8:[],uint16:[],uint32:[],bigint64:[],biguint64:[]};function m(b,p,k,M){if(b===void 0){var g=v.array[0];return g([])}else typeof b==\"number\"&&(b=[b]);p===void 0&&(p=[b.length]);var T=p.length;if(k===void 0){k=new Array(T);for(var L=T-1,x=1;L>=0;--L)k[L]=x,x*=p[L]}if(M===void 0){M=0;for(var L=0;L<T;++L)k[L]<0&&(M-=(p[L]-1)*k[L])}for(var C=d(b),S=v[C];S.length<=T+1;)S.push(h(C,S.length-1));var g=S[T+1];return g(b,p,k,M)}i.exports=m}),1278:(function(i,a,o){\"use strict\";var 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g=0;g<3;++g){for(var P=0,E=0;E<3;++E)P+=T[g+4*E]*x[E];T[12+g]=-P}},b.getMatrix=function(k,M){this.recalcMatrix(k);var T=this.computedMatrix;if(M){for(var L=0;L<16;++L)M[L]=T[L];return M}return T},b.idle=function(k){this.center.idle(k),this.radius.idle(k),this.rotation.idle(k)},b.flush=function(k){this.center.flush(k),this.radius.flush(k),this.rotation.flush(k)},b.pan=function(k,M,T,L){M=M||0,T=T||0,L=L||0,this.recalcMatrix(k);var x=this.computedMatrix,C=x[1],S=x[5],g=x[9],P=h(C,S,g);C/=P,S/=P,g/=P;var E=x[0],z=x[4],q=x[8],V=E*C+z*S+q*g;E-=C*V,z-=S*V,q-=g*V;var G=h(E,z,q);E/=G,z/=G,q/=G;var Z=x[2],j=x[6],N=x[10],H=Z*C+j*S+N*g,re=Z*E+j*z+N*q;Z-=H*C+re*E,j-=H*S+re*z,N-=H*g+re*q;var ae=h(Z,j,N);Z/=ae,j/=ae,N/=ae;var _e=E*M+C*T,Ee=z*M+S*T,Ce=q*M+g*T;this.center.move(k,_e,Ee,Ce);var ge=Math.exp(this.computedRadius[0]);ge=Math.max(1e-4,ge+L),this.radius.set(k,Math.log(ge))},b.rotate=function(k,M,T,L){this.recalcMatrix(k),M=M||0,T=T||0;var x=this.computedMatrix,C=x[0],S=x[4],g=x[8],P=x[1],E=x[5],z=x[9],q=x[2],V=x[6],G=x[10],Z=M*C+T*P,j=M*S+T*E,N=M*g+T*z,H=-(V*N-G*j),re=-(G*Z-q*N),ae=-(q*j-V*Z),_e=Math.sqrt(Math.max(0,1-Math.pow(H,2)-Math.pow(re,2)-Math.pow(ae,2))),Ee=d(H,re,ae,_e);Ee>1e-6?(H/=Ee,re/=Ee,ae/=Ee,_e/=Ee):(H=re=ae=0,_e=1);var Ce=this.computedRotation,ge=Ce[0],ie=Ce[1],Se=Ce[2],ke=Ce[3],be=ge*_e+ke*H+ie*ae-Se*re,Be=ie*_e+ke*re+Se*H-ge*ae,Le=Se*_e+ke*ae+ge*re-ie*H,me=ke*_e-ge*H-ie*re-Se*ae;if(L){H=q,re=V,ae=G;var Pe=Math.sin(L)/h(H,re,ae);H*=Pe,re*=Pe,ae*=Pe,_e=Math.cos(M),be=be*_e+me*H+Be*ae-Le*re,Be=Be*_e+me*re+Le*H-be*ae,Le=Le*_e+me*ae+be*re-Be*H,me=me*_e-be*H-Be*re-Le*ae}var ce=d(be,Be,Le,me);ce>1e-6?(be/=ce,Be/=ce,Le/=ce,me/=ce):(be=Be=Le=0,me=1),this.rotation.set(k,be,Be,Le,me)},b.lookAt=function(k,M,T,L){this.recalcMatrix(k),T=T||this.computedCenter,M=M||this.computedEye,L=L||this.computedUp;var x=this.computedMatrix;l(x,M,T,L);var C=this.computedRotation;f(C,x[0],x[1],x[2],x[4],x[5],x[6],x[8],x[9],x[10]),v(C,C),this.rotation.set(k,C[0],C[1],C[2],C[3]);for(var S=0,g=0;g<3;++g)S+=Math.pow(T[g]-M[g],2);this.radius.set(k,.5*Math.log(Math.max(S,1e-6))),this.center.set(k,T[0],T[1],T[2])},b.translate=function(k,M,T,L){this.center.move(k,M||0,T||0,L||0)},b.setMatrix=function(k,M){var T=this.computedRotation;f(T,M[0],M[1],M[2],M[4],M[5],M[6],M[8],M[9],M[10]),v(T,T),this.rotation.set(k,T[0],T[1],T[2],T[3]);var L=this.computedMatrix;c(L,M);var x=L[15];if(Math.abs(x)>1e-6){var C=L[12]/x,S=L[13]/x,g=L[14]/x;this.recalcMatrix(k);var P=Math.exp(this.computedRadius[0]);this.center.set(k,C-L[2]*P,S-L[6]*P,g-L[10]*P),this.radius.idle(k)}else 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9:m.push([l(h,f,p[3],p[1]),l(h,f,p[0],p[1]),l(h,f,p[0],p[2])],[l(h,f,p[3],p[2]),l(h,f,p[3],p[1]),l(h,f,p[0],p[2])]);break;case 10:m.push([l(h,f,p[1],p[0]),l(h,f,p[3],p[0]),l(h,f,p[1],p[2])],[l(h,f,p[3],p[0]),l(h,f,p[3],p[2]),l(h,f,p[1],p[2])]);break;case 11:m.push([l(h,f,p[1],p[2]),l(h,f,p[0],p[2]),l(h,f,p[3],p[2])]);break;case 12:m.push([l(h,f,p[3],p[0]),l(h,f,p[2],p[0]),l(h,f,p[2],p[1])],[l(h,f,p[3],p[1]),l(h,f,p[3],p[0]),l(h,f,p[2],p[1])]);break;case 13:m.push([l(h,f,p[0],p[1]),l(h,f,p[2],p[1]),l(h,f,p[3],p[1])]);break;case 14:m.push([l(h,f,p[2],p[0]),l(h,f,p[1],p[0]),l(h,f,p[3],p[0])]);break;case 15:break}}else if(k===3){var M=(d[p[0]]<<0)+(d[p[1]]<<1)+(d[p[2]]<<2);if(M===0||M===7)continue;switch(M){case 0:break;case 1:m.push([l(h,f,p[0],p[2]),l(h,f,p[0],p[1])]);break;case 2:m.push([l(h,f,p[1],p[0]),l(h,f,p[1],p[2])]);break;case 3:m.push([l(h,f,p[0],p[2]),l(h,f,p[1],p[2])]);break;case 4:m.push([l(h,f,p[2],p[1]),l(h,f,p[2],p[0])]);break;case 5:m.push([l(h,f,p[2],p[1]),l(h,f,p[0],p[1])]);break;case 6:m.push([l(h,f,p[1],p[0]),l(h,f,p[2],p[0])]);break;case 7:break}}else if(k===2){var M=(d[p[0]]<<0)+(d[p[1]]<<1);if(M===0||M===3)continue;switch(M){case 0:break;case 1:m.push([l(h,f,p[0],p[1])]);break;case 2:m.push([l(h,f,p[1],p[0])]);break;case 3:break}}}return m}return u}];function o(s){return a[s]()}}),6803:(function(i,a,o){\"use strict\";var s,l=o(8828),u=o(1755);function c(P){for(var E=0,z=Math.max,q=0,V=P.length;q<V;++q)E=z(E,P[q].length);return E-1}s=c;function f(P){for(var E=-1,z=Math.max,q=0,V=P.length;q<V;++q)for(var G=P[q],Z=0,j=G.length;Z<j;++Z)E=z(E,G[Z]);return E+1}s=f;function h(P){for(var E=new Array(P.length),z=0,q=P.length;z<q;++z)E[z]=P[z].slice(0);return E}s=h;function d(P,E){var z=P.length,q=P.length-E.length,V=Math.min;if(q)return q;switch(z){case 0:return 0;case 1:return P[0]-E[0];case 2:var H=P[0]+P[1]-E[0]-E[1];return H||V(P[0],P[1])-V(E[0],E[1]);case 3:var 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V=P[q],G=0;G<V.length;++G)for(var Z=G+1;Z<V.length;++Z)z.link(V[G],V[Z]);for(var j=[],N=z.ranks,q=0;q<N.length;++q)N[q]=-1;for(var q=0;q<P.length;++q){var H=z.find(P[q][0]);N[H]<0?(N[H]=j.length,j.push([P[q].slice(0)])):j[N[H]].push(P[q].slice(0))}return j}function S(P){for(var E=b(m(L(P,0))),z=new u(E.length),q=0;q<P.length;++q)for(var V=P[q],G=0;G<V.length;++G)for(var Z=p(E,[V[G]]),j=G+1;j<V.length;++j)z.link(Z,p(E,[V[j]]));for(var N=[],H=z.ranks,q=0;q<H.length;++q)H[q]=-1;for(var q=0;q<P.length;++q){var re=z.find(p(E,[P[q][0]]));H[re]<0?(H[re]=N.length,N.push([P[q].slice(0)])):N[H[re]].push(P[q].slice(0))}return N}function g(P,E){return E?C(P,E):S(P)}s=g}),3105:(function(i,a){\"use strict\";\"use restrict\";var o=32;a.INT_BITS=o,a.INT_MAX=2147483647,a.INT_MIN=-1<<o-1,a.sign=function(u){return(u>0)-(u<0)},a.abs=function(u){var c=u>>o-1;return(u^c)-c},a.min=function(u,c){return c^(u^c)&-(u<c)},a.max=function(u,c){return u^(u^c)&-(u<c)},a.isPow2=function(u){return!(u&u-1)&&!!u},a.log2=function(u){var c,f;return c=(u>65535)<<4,u>>>=c,f=(u>255)<<3,u>>>=f,c|=f,f=(u>15)<<2,u>>>=f,c|=f,f=(u>3)<<1,u>>>=f,c|=f,c|u>>1},a.log10=function(u){return u>=1e9?9:u>=1e8?8:u>=1e7?7:u>=1e6?6:u>=1e5?5:u>=1e4?4:u>=1e3?3:u>=100?2:u>=10?1:0},a.popCount=function(u){return u=u-(u>>>1&1431655765),u=(u&858993459)+(u>>>2&858993459),(u+(u>>>4)&252645135)*16843009>>>24};function s(u){var c=32;return u&=-u,u&&c--,u&65535&&(c-=16),u&16711935&&(c-=8),u&252645135&&(c-=4),u&858993459&&(c-=2),u&1431655765&&(c-=1),c}a.countTrailingZeros=s,a.nextPow2=function(u){return u+=u===0,--u,u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u+1},a.prevPow2=function(u){return u|=u>>>1,u|=u>>>2,u|=u>>>4,u|=u>>>8,u|=u>>>16,u-(u>>>1)},a.parity=function(u){return u^=u>>>16,u^=u>>>8,u^=u>>>4,u&=15,27030>>>u&1};var l=new Array(256);(function(u){for(var c=0;c<256;++c){var 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u=u>>>c&1227133513,u=(u|u>>>2)&3272356035,u=(u|u>>>4)&251719695,u=(u|u>>>8)&4278190335,u=(u|u>>>16)&1023,u<<22>>22},a.nextCombination=function(u){var c=u|u-1;return c+1|(~c&-~c)-1>>>s(u)+1}}),2014:(function(i,a,o){\"use strict\";\"use restrict\";var s=o(3105),l=o(4623);function u(g){for(var P=0,E=Math.max,z=0,q=g.length;z<q;++z)P=E(P,g[z].length);return P-1}a.dimension=u;function c(g){for(var P=-1,E=Math.max,z=0,q=g.length;z<q;++z)for(var V=g[z],G=0,Z=V.length;G<Z;++G)P=E(P,V[G]);return P+1}a.countVertices=c;function f(g){for(var P=new Array(g.length),E=0,z=g.length;E<z;++E)P[E]=g[E].slice(0);return P}a.cloneCells=f;function h(g,P){var E=g.length,z=g.length-P.length,q=Math.min;if(z)return z;switch(E){case 0:return 0;case 1:return g[0]-P[0];case 2:var N=g[0]+g[1]-P[0]-P[1];return N||q(g[0],g[1])-q(P[0],P[1]);case 3:var V=g[0]+g[1],G=P[0]+P[1];if(N=V+g[2]-(G+P[2]),N)return N;var Z=q(g[0],g[1]),j=q(P[0],P[1]),N=q(Z,g[2])-q(j,P[2]);return N||q(Z+g[2],V)-q(j+P[2],G);default:var 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b(T,L,x,C,S,g,P,E){this.center=s(x),this.up=s(C),this.right=s(S),this.radius=s([g]),this.angle=s([P,E]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(T,L),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var z=0;z<16;++z)this.computedMatrix[z]=.5;this.recalcMatrix(0)}var p=b.prototype;p.setDistanceLimits=function(T,L){T>0?T=Math.log(T):T=-1/0,L>0?L=Math.log(L):L=1/0,L=Math.max(L,T),this.radius.bounds[0][0]=T,this.radius.bounds[1][0]=L},p.getDistanceLimits=function(T){var L=this.radius.bounds[0];return T?(T[0]=Math.exp(L[0][0]),T[1]=Math.exp(L[1][0]),T):[Math.exp(L[0][0]),Math.exp(L[1][0])]},p.recalcMatrix=function(T){this.center.curve(T),this.up.curve(T),this.right.curve(T),this.radius.curve(T),this.angle.curve(T);for(var L=this.computedUp,x=this.computedRight,C=0,S=0,g=0;g<3;++g)S+=L[g]*x[g],C+=L[g]*L[g];for(var P=Math.sqrt(C),E=0,g=0;g<3;++g)x[g]-=L[g]*S/C,E+=x[g]*x[g],L[g]/=P;for(var z=Math.sqrt(E),g=0;g<3;++g)x[g]/=z;var q=this.computedToward;c(q,L,x),f(q,q);for(var V=Math.exp(this.computedRadius[0]),G=this.computedAngle[0],Z=this.computedAngle[1],j=Math.cos(G),N=Math.sin(G),H=Math.cos(Z),re=Math.sin(Z),ae=this.computedCenter,_e=j*H,Ee=N*H,Ce=re,ge=-j*re,ie=-N*re,Se=H,ke=this.computedEye,be=this.computedMatrix,g=0;g<3;++g){var Be=_e*x[g]+Ee*q[g]+Ce*L[g];be[4*g+1]=ge*x[g]+ie*q[g]+Se*L[g],be[4*g+2]=Be,be[4*g+3]=0}var Le=be[1],me=be[5],Pe=be[9],ce=be[2],He=be[6],lt=be[10],mt=me*lt-Pe*He,Ht=Pe*ce-Le*lt,at=Le*He-me*ce,ct=d(mt,Ht,at);mt/=ct,Ht/=ct,at/=ct,be[0]=mt,be[4]=Ht,be[8]=at;for(var g=0;g<3;++g)ke[g]=ae[g]+be[2+4*g]*V;for(var g=0;g<3;++g){for(var E=0,ar=0;ar<3;++ar)E+=be[g+4*ar]*ke[ar];be[12+g]=-E}be[15]=1},p.getMatrix=function(T,L){this.recalcMatrix(T);var x=this.computedMatrix;if(L){for(var C=0;C<16;++C)L[C]=x[C];return L}return x};var k=[0,0,0];p.rotate=function(T,L,x,C){if(this.angle.move(T,L,x),C){this.recalcMatrix(T);var S=this.computedMatrix;k[0]=S[2],k[1]=S[6],k[2]=S[10];for(var g=this.computedUp,P=this.computedRight,E=this.computedToward,z=0;z<3;++z)S[4*z]=g[z],S[4*z+1]=P[z],S[4*z+2]=E[z];u(S,S,C,k);for(var z=0;z<3;++z)g[z]=S[4*z],P[z]=S[4*z+1];this.up.set(T,g[0],g[1],g[2]),this.right.set(T,P[0],P[1],P[2])}},p.pan=function(T,L,x,C){L=L||0,x=x||0,C=C||0,this.recalcMatrix(T);var S=this.computedMatrix,g=Math.exp(this.computedRadius[0]),P=S[1],E=S[5],z=S[9],q=d(P,E,z);P/=q,E/=q,z/=q;var V=S[0],G=S[4],Z=S[8],j=V*P+G*E+Z*z;V-=P*j,G-=E*j,Z-=z*j;var N=d(V,G,Z);V/=N,G/=N,Z/=N;var H=V*L+P*x,re=G*L+E*x,ae=Z*L+z*x;this.center.move(T,H,re,ae);var _e=Math.exp(this.computedRadius[0]);_e=Math.max(1e-4,_e+C),this.radius.set(T,Math.log(_e))},p.translate=function(T,L,x,C){this.center.move(T,L||0,x||0,C||0)},p.setMatrix=function(T,L,x,C){var S=1;typeof x==\"number\"&&(S=x|0),(S<0||S>3)&&(S=1);var g=(S+2)%3,P=(S+1)%3;L||(this.recalcMatrix(T),L=this.computedMatrix);var E=L[S],z=L[S+4],q=L[S+8];if(C){var G=Math.abs(E),Z=Math.abs(z),j=Math.abs(q),N=Math.max(G,Z,j);G===N?(E=E<0?-1:1,z=q=0):j===N?(q=q<0?-1:1,E=z=0):(z=z<0?-1:1,E=q=0)}else{var V=d(E,z,q);E/=V,z/=V,q/=V}var H=L[g],re=L[g+4],ae=L[g+8],_e=H*E+re*z+ae*q;H-=E*_e,re-=z*_e,ae-=q*_e;var Ee=d(H,re,ae);H/=Ee,re/=Ee,ae/=Ee;var Ce=z*ae-q*re,ge=q*H-E*ae,ie=E*re-z*H,Se=d(Ce,ge,ie);Ce/=Se,ge/=Se,ie/=Se,this.center.jump(T,Ue,Ae,rt),this.radius.idle(T),this.up.jump(T,E,z,q),this.right.jump(T,H,re,ae);var ke,be;if(S===2){var Be=L[1],Le=L[5],me=L[9],Pe=Be*H+Le*re+me*ae,ce=Be*Ce+Le*ge+me*ie;Ht<0?ke=-Math.PI/2:ke=Math.PI/2,be=Math.atan2(ce,Pe)}else{var He=L[2],lt=L[6],mt=L[10],Ht=He*E+lt*z+mt*q,at=He*H+lt*re+mt*ae,ct=He*Ce+lt*ge+mt*ie;ke=Math.asin(v(Ht)),be=Math.atan2(ct,at)}this.angle.jump(T,be,ke),this.recalcMatrix(T);var ar=L[2],Vt=L[6],rr=L[10],tt=this.computedMatrix;l(tt,L);var je=tt[15],Ue=tt[12]/je,Ae=tt[13]/je,rt=tt[14]/je,St=Math.exp(this.computedRadius[0]);this.center.jump(T,Ue-ar*St,Ae-Vt*St,rt-rr*St)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(T){this.center.idle(T),this.up.idle(T),this.right.idle(T),this.radius.idle(T),this.angle.idle(T)},p.flush=function(T){this.center.flush(T),this.up.flush(T),this.right.flush(T),this.radius.flush(T),this.angle.flush(T)},p.setDistance=function(T,L){L>0&&this.radius.set(T,Math.log(L))},p.lookAt=function(T,L,x,C){this.recalcMatrix(T),L=L||this.computedEye,x=x||this.computedCenter,C=C||this.computedUp;var S=C[0],g=C[1],P=C[2],E=d(S,g,P);if(!(E<1e-6)){S/=E,g/=E,P/=E;var z=L[0]-x[0],q=L[1]-x[1],V=L[2]-x[2],G=d(z,q,V);if(!(G<1e-6)){z/=G,q/=G,V/=G;var Z=this.computedRight,j=Z[0],N=Z[1],H=Z[2],re=S*j+g*N+P*H;j-=re*S,N-=re*g,H-=re*P;var 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Uint16Array;case\"uint32\":return Uint32Array;case\"float32\":return Float32Array;case\"float64\":return Float64Array;case\"array\":return Array;case\"uint8_clamped\":return Uint8ClampedArray}}});var lx=ye((Rgr,NPe)=>{\"use strict\";var IIt=qPe(),nF=ak(),RIt=iF();NPe.exports=function(t,r){(r===\"float\"||!r)&&(r=\"array\"),r===\"uint\"&&(r=\"uint8\"),r===\"uint_clamped\"&&(r=\"uint8_clamped\");var n=RIt(r),i=new n(4),a=r!==\"uint8\"&&r!==\"uint8_clamped\";return(!t.length||typeof t==\"string\")&&(t=IIt(t),t[0]/=255,t[1]/=255,t[2]/=255),DIt(t)?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:255,a&&(i[0]/=255,i[1]/=255,i[2]/=255,i[3]/=255),i):(a?(i[0]=t[0],i[1]=t[1],i[2]=t[2],i[3]=t[3]!=null?t[3]:1):(i[0]=nF(Math.floor(t[0]*255),0,255),i[1]=nF(Math.floor(t[1]*255),0,255),i[2]=nF(Math.floor(t[2]*255),0,255),i[3]=t[3]==null?255:nF(Math.floor(t[3]*255),0,255)),i)};function DIt(e){return!!(e instanceof Uint8Array||e instanceof Uint8ClampedArray||Array.isArray(e)&&(e[0]>1||e[0]===0)&&(e[1]>1||e[1]===0)&&(e[2]>1||e[2]===0)&&(!e[3]||e[3]>1))}});var a1=ye((Dgr,UPe)=>{\"use strict\";var FIt=lx();function zIt(e){return e?FIt(e):[0,0,0,1]}UPe.exports=zIt});var o1=ye((Fgr,ZPe)=>{\"use strict\";var WPe=Eo(),qIt=fd(),aF=lx(),oF=tc(),OIt=Ih().defaultLine,VPe=Yd().isArrayOrTypedArray,EX=aF(OIt),XPe=1;function GPe(e,t){var r=e;return r[3]*=t,r}function HPe(e){if(WPe(e))return EX;var t=aF(e);return t.length?t:EX}function jPe(e){return WPe(e)?e:XPe}function BIt(e,t,r){var n=e.color;n&&n._inputArray&&(n=n._inputArray);var i=VPe(n),a=VPe(t),o=oF.extractOpts(e),s=[],l,u,c,f,h;if(o.colorscale!==void 0?l=oF.makeColorScaleFuncFromTrace(e):l=HPe,i?u=function(v,m){return v[m]===void 0?EX:aF(l(v[m]))}:u=HPe,a?c=function(v,m){return v[m]===void 0?XPe:jPe(v[m])}:c=jPe,i||a)for(var d=0;d<r;d++)f=u(n,d),h=c(t,d),s[d]=GPe(f,h);else s=GPe(aF(n),t);return s}function NIt(e){var t=oF.extractOpts(e),r=t.colorscale;return t.reversescale&&(r=oF.flipScale(t.colorscale)),r.map(function(n){var i=n[0],a=qIt(n[1]),o=a.toRgb();return{index:i,rgb:[o.r,o.g,o.b,o.a]}})}ZPe.exports={formatColor:BIt,parseColorScale:NIt}});var kX=ye((zgr,YPe)=>{\"use strict\";YPe.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}});var sF=ye((qgr,KPe)=>{\"use strict\";KPe.exports={circle:\"\\u25CF\",\"circle-open\":\"\\u25CB\",square:\"\\u25A0\",\"square-open\":\"\\u25A1\",diamond:\"\\u25C6\",\"diamond-open\":\"\\u25C7\",cross:\"+\",x:\"\\u274C\"}});var $Pe=ye((Ogr,JPe)=>{\"use strict\";var UIt=Oa();function CX(e,t,r,n){if(!t||!t.visible)return null;for(var i=UIt.getComponentMethod(\"errorbars\",\"makeComputeError\")(t),a=new Array(e.length),o=0;o<e.length;o++){var s=i(+e[o],o);if(n.type===\"log\"){var l=n.c2l(e[o]),u=e[o]-s[0],c=e[o]+s[1];if(a[o]=[(n.c2l(u,!0)-l)*r,(n.c2l(c,!0)-l)*r],u>0){var f=n.c2l(u);n._lowerLogErrorBound||(n._lowerLogErrorBound=f),n._lowerErrorBound=Math.min(n._lowerLogErrorBound,f)}}else a[o]=[-s[0]*r,s[1]*r]}return a}function VIt(e){for(var t=0;t<e.length;t++)if(e[t])return e[t].length;return 0}function GIt(e,t,r){var n=[CX(e.x,e.error_x,t[0],r.xaxis),CX(e.y,e.error_y,t[1],r.yaxis),CX(e.z,e.error_z,t[2],r.zaxis)],i=VIt(n);if(i===0)return null;for(var a=new Array(i),o=0;o<i;o++){for(var s=[[0,0,0],[0,0,0]],l=0;l<3;l++)if(n[l])for(var u=0;u<2;u++)s[u][l]=n[l][o][u];a[o]=s}return a}JPe.exports=GIt});var sIe=ye((Bgr,oIe)=>{\"use strict\";var HIt=qd().gl_line3d,QPe=qd().gl_scatter3d,jIt=qd().gl_error3d,WIt=qd().gl_mesh3d,XIt=qd().delaunay_triangulate,s1=Pr(),nIe=a1(),lF=o1().formatColor,ZIt=U3(),LX=kX(),YIt=sF(),KIt=ho(),JIt=ip().appendArrayPointValue,$It=$Pe();function aIe(e,t){this.scene=e,this.uid=t,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=\"\",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var IX=aIe.prototype;IX.handlePick=function(e){if(e.object&&(e.object===this.linePlot||e.object===this.delaunayMesh||e.object===this.textMarkers||e.object===this.scatterPlot)){var t=e.index=e.data.index;return e.object.highlight&&e.object.highlight(null),this.scatterPlot&&(e.object=this.scatterPlot,this.scatterPlot.highlight(e.data)),e.textLabel=\"\",this.textLabels&&(s1.isArrayOrTypedArray(this.textLabels)?(this.textLabels[t]||this.textLabels[t]===0)&&(e.textLabel=this.textLabels[t]):e.textLabel=this.textLabels),e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]],!0}};function QIt(e,t,r){var n=(r+1)%3,i=(r+2)%3,a=[],o=[],s;for(s=0;s<e.length;++s){var 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0&&(l*=e.marker.opacity),n={gl:this.scene.glplot.gl,position:s.position,color:s.scatterColor,size:s.scatterSize,glyph:s.scatterMarker,opacity:l,orthographic:!0,lineWidth:s.scatterLineWidth,lineColor:s.scatterLineColor,project:s.project,projectScale:s.projectScale,projectOpacity:s.projectOpacity},this.mode.indexOf(\"markers\")!==-1?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=QPe(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:this.scene.glplot.gl,position:s.position,glyph:s.text,color:s.textColor,size:s.textSize,angle:s.textAngle,alignment:s.textOffset,font:s.textFontFamily,fontWeight:s.textFontWeight,fontStyle:s.textFontStyle,fontVariant:s.textFontVariant,orthographic:!0,lineWidth:0,project:!1,opacity:e.opacity},this.textLabels=e.hovertext||e.text,this.mode.indexOf(\"text\")!==-1?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=QPe(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),i={gl:this.scene.glplot.gl,position:s.position,color:s.errorColor,error:s.errorBounds,lineWidth:s.errorLineWidth,capSize:s.errorCapSize,opacity:e.opacity},this.errorBars?s.errorBounds?this.errorBars.update(i):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):s.errorBounds&&(this.errorBars=jIt(i),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),s.delaunayAxis>=0){var u=QIt(s.position,s.delaunayColor,s.delaunayAxis);u.opacity=e.opacity,this.delaunayMesh?this.delaunayMesh.update(u):(u.gl=t,this.delaunayMesh=WIt(u),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)};IX.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())};function a8t(e,t){var r=new aIe(e,t.uid);return r.update(t),r}oIe.exports=a8t});var qX=ye((Ngr,fIe)=>{\"use strict\";var l1=pf(),o8t=ec(),zX=Tu(),RX=vf().axisHoverFormat,{hovertemplateAttrs:s8t,texttemplateAttrs:l8t,templatefallbackAttrs:lIe}=Pl(),uIe=Vl(),u8t=kX(),c8t=sF(),$g=Ao().extendFlat,f8t=mc().overrideAll,cIe=r_(),h8t=l1.line,Q2=l1.marker,d8t=Q2.line,v8t=$g({width:h8t.width,dash:{valType:\"enumerated\",values:cIe(u8t),dflt:\"solid\"}},zX(\"line\"));function DX(e){return{show:{valType:\"boolean\",dflt:!1},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}}var FX=fIe.exports=f8t({x:l1.x,y:l1.y,z:{valType:\"data_array\"},text:$g({},l1.text,{}),texttemplate:l8t(),texttemplatefallback:lIe({editType:\"calc\"}),hovertext:$g({},l1.hovertext,{}),hovertemplate:s8t(),hovertemplatefallback:lIe(),xhoverformat:RX(\"x\"),yhoverformat:RX(\"y\"),zhoverformat:RX(\"z\"),mode:$g({},l1.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:DX(\"x\"),y:DX(\"y\"),z:DX(\"z\")},connectgaps:l1.connectgaps,line:v8t,marker:$g({symbol:{valType:\"enumerated\",values:cIe(c8t),dflt:\"circle\",arrayOk:!0},size:$g({},Q2.size,{dflt:8}),sizeref:Q2.sizeref,sizemin:Q2.sizemin,sizemode:Q2.sizemode,opacity:$g({},Q2.opacity,{arrayOk:!1}),colorbar:Q2.colorbar,line:$g({width:$g({},d8t.width,{arrayOk:!1})},zX(\"marker.line\"))},zX(\"marker\")),textposition:$g({},l1.textposition,{dflt:\"top center\"}),textfont:o8t({noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,editType:\"calc\",colorEditType:\"style\",arrayOk:!0,variantValues:[\"normal\",\"small-caps\"]}),opacity:uIe.opacity,hoverinfo:$g({},uIe.hoverinfo)},\"calc\",\"nested\");FX.x.editType=FX.y.editType=FX.z.editType=\"calc+clearAxisTypes\"});var vIe=ye((Ugr,dIe)=>{\"use strict\";var hIe=Oa(),p8t=Pr(),OX=Ru(),g8t=$p(),m8t=D0(),y8t=F0(),_8t=qX();dIe.exports=function(t,r,n,i){function a(d,v){return p8t.coerce(t,r,_8t,d,v)}var o=x8t(t,r,a,i);if(!o){r.visible=!1;return}a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),a(\"mode\"),OX.hasMarkers(r)&&g8t(t,r,n,i,a,{noAngle:!0,noLineDash:!0,noSelect:!0}),OX.hasLines(r)&&(a(\"connectgaps\"),m8t(t,r,n,i,a)),OX.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),y8t(t,r,i,a,{noSelect:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var s=(r.line||{}).color,l=(r.marker||{}).color;a(\"surfaceaxis\")>=0&&a(\"surfacecolor\",s||l);for(var u=[\"x\",\"y\",\"z\"],c=0;c<3;++c){var f=\"projection.\"+u[c];a(f+\".show\")&&(a(f+\".opacity\"),a(f+\".scale\"))}var h=hIe.getComponentMethod(\"errorbars\",\"supplyDefaults\");h(t,r,s||l||n,{axis:\"z\"}),h(t,r,s||l||n,{axis:\"y\",inherit:\"z\"}),h(t,r,s||l||n,{axis:\"x\",inherit:\"z\"})};function x8t(e,t,r,n){var i=0,a=r(\"x\"),o=r(\"y\"),s=r(\"z\"),l=hIe.getComponentMethod(\"calendars\",\"handleTraceDefaults\");return l(e,t,[\"x\",\"y\",\"z\"],n),a&&o&&s&&(i=Math.min(a.length,o.length,s.length),t._length=t._xlength=t._ylength=t._zlength=i),i}});var gIe=ye((Vgr,pIe)=>{\"use strict\";var b8t=Dm(),w8t=z0();pIe.exports=function(t,r){var n=[{x:!1,y:!1,trace:r,t:{}}];return b8t(n,r),w8t(t,r),n}});var yIe=ye((Ggr,mIe)=>{mIe.exports=T8t;function T8t(e,t){if(typeof e!=\"string\")throw new TypeError(\"must specify type string\");if(t=t||{},typeof document==\"undefined\"&&!t.canvas)return null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o<a.length;o++)if(i=r.getContext(a[o],n),i)return i}catch(s){i=null}return i||null}});var xIe=ye((Hgr,_Ie)=>{var A8t=yIe();_Ie.exports=function(t){return A8t(\"webgl\",t)}});var BX=ye((jgr,wIe)=>{\"use strict\";var bIe=ka(),S8t=function(){};wIe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=S8t);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=bIe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=bIe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more info\",i.style.position=\"relative\",i.style.top=\"50%\",i.style.left=\"50%\",i.style.height=\"30%\",i.style.width=\"50%\",i.style.margin=\"-15% 0 0 -25%\",n.appendChild(i),t.container.appendChild(n),t.container.style.background=\"#FFFFFF\",t.container.onclick=function(){window.open(\"https://get.webgl.org\")},!1}});var SIe=ye((Wgr,AIe)=>{\"use strict\";var ew=a1(),M8t=Pr(),E8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function TIe(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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k8t=TIe.prototype;k8t.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[E8t[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?M8t.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=ew(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=ew(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=ew(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=ew(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=ew(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=ew(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=ew(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function C8t(e,t){var r=new TIe;return r.merge(e,t),r}AIe.exports=C8t});var kIe=ye((Xgr,EIe)=>{\"use strict\";var L8t=a1(),P8t=[\"xaxis\",\"yaxis\",\"zaxis\"];function MIe(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var I8t=MIe.prototype;I8t.merge=function(e){for(var t=0;t<3;++t){var r=e[P8t[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=L8t(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function R8t(e){var t=new MIe;return t.merge(e),t}EIe.exports=R8t});var PIe=ye((Zgr,LIe)=>{\"use strict\";LIe.exports=O8t;var CIe=ho(),D8t=Pr(),F8t=[\"xaxis\",\"yaxis\",\"zaxis\"],z8t=[0,0,0];function q8t(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;t[r]=i}return t}function O8t(e){for(var t=e.axesOptions,r=e.glplot.axesPixels,n=e.fullSceneLayout,i=[[],[],[]],a=0;a<3;++a){var o=n[F8t[a]];if(o._length=(r[a].hi-r[a].lo)*r[a].pixelsPerDataUnit/e.dataScale[a],Math.abs(o._length)===1/0||isNaN(o._length))i[a]=[];else{o._input_range=o.range.slice(),o.range[0]=r[a].lo/e.dataScale[a],o.range[1]=r[a].hi/e.dataScale[a],o._m=1/(e.dataScale[a]*r[a].pixelsPerDataUnit),o.range[0]===o.range[1]&&(o.range[0]-=1,o.range[1]+=1);var s=o.tickmode;if(o.tickmode===\"auto\"){o.tickmode=\"linear\";var l=o.nticks||D8t.constrain(o._length/40,4,9);CIe.autoTicks(o,Math.abs(o.range[1]-o.range[0])/l)}for(var u=CIe.calcTicks(o,{msUTC:!0}),c=0;c<u.length;++c)u[c].x=u[c].x*e.dataScale[a],o.type===\"date\"&&(u[c].text=u[c].text.replace(/\\<br\\>/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){z8t[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=q8t(i)}});var OIe=ye((Ygr,qIe)=>{\"use strict\";var DIe=qd().gl_plot3d,B8t=DIe.createCamera,IIe=DIe.createScene,N8t=xIe(),U8t=GL(),fF=Oa(),cp=Pr(),cF=cp.preserveDrawingBuffer(),hF=ho(),Qg=ef(),V8t=a1(),G8t=BX(),H8t=JU(),j8t=SIe(),W8t=kIe(),X8t=PIe(),Z8t=Mg().applyAutorangeOptions,ok,uF,FIe=!1;function zIe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=j8t(t,t[this.id]),this.spikeOptions=W8t(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=fF.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=fF.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var Sv=zIe.prototype;Sv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:cF,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!uF&&(ok=document.createElement(\"canvas\"),uF=N8t({canvas:ok,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!uF))throw new Error(\"error creating static canvas/context for image server\");t.gl=uF,t.canvas=ok}return t};var RIe=!0;Sv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=IIe(t)}catch(n){if(e.staticMode||!RIe||cF)r=!1;else{cp.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{cF=t.glOptions.preserveDrawingBuffer=!0,e.glplot=IIe(t)}catch(i){cF=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return RIe=!1,r};Sv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=B8t(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};Sv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return G8t(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){FIe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},U8t?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};Sv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),X8t(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h<u.length;++h)r=e.traces[u[h]],r.data.hoverinfo!==\"skip\"&&r.handlePick(f)&&(c=r),r.setContourLevels&&r.setContourLevels();function d(P,E,z){var q=e.fullSceneLayout[P+\"axis\"];return q.type!==\"log\"&&(E=q.d2l(E)),hF.hoverLabelText(q,E,z)}if(c!==null){var v=H8t(e.glplot.cameraParams,f.dataCoordinate);r=c.data;var m=t._fullData[r.index],b=f.index,p={xLabel:d(\"x\",f.traceCoordinate[0],r.xhoverformat),yLabel:d(\"y\",f.traceCoordinate[1],r.yhoverformat),zLabel:d(\"z\",f.traceCoordinate[2],r.zhoverformat)},k=Qg.castHoverinfo(m,e.fullLayout,b),M=(k||\"\").split(\"+\"),T=k&&k===\"all\";!m.hovertemplate&&!T&&(M.indexOf(\"x\")===-1&&(p.xLabel=void 0),M.indexOf(\"y\")===-1&&(p.yLabel=void 0),M.indexOf(\"z\")===-1&&(p.zLabel=void 0),M.indexOf(\"text\")===-1&&(f.textLabel=void 0),M.indexOf(\"name\")===-1&&(c.name=void 0));var L,x=[];r.type===\"cone\"||r.type===\"streamtube\"?(p.uLabel=d(\"x\",f.traceCoordinate[3],r.uhoverformat),(T||M.indexOf(\"u\")!==-1)&&x.push(\"u: \"+p.uLabel),p.vLabel=d(\"y\",f.traceCoordinate[4],r.vhoverformat),(T||M.indexOf(\"v\")!==-1)&&x.push(\"v: \"+p.vLabel),p.wLabel=d(\"z\",f.traceCoordinate[5],r.whoverformat),(T||M.indexOf(\"w\")!==-1)&&x.push(\"w: \"+p.wLabel),p.normLabel=f.traceCoordinate[6].toPrecision(3),(T||M.indexOf(\"norm\")!==-1)&&x.push(\"norm: \"+p.normLabel),r.type===\"streamtube\"&&(p.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(T||M.indexOf(\"divergence\")!==-1)&&x.push(\"divergence: \"+p.divergenceLabel)),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):r.type===\"isosurface\"||r.type===\"volume\"?(p.valueLabel=hF.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),x.push(\"value: \"+p.valueLabel),f.textLabel&&x.push(f.textLabel),L=x.join(\"<br>\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:m._input,fullData:m,curveNumber:m.index,pointNumber:b};Qg.appendArrayPointValue(C,m,b),r._module.eventData&&(C=m._module.eventData(C,f,m,{},b));var S={points:[C]};if(e.fullSceneLayout.hovermode){var g=[];Qg.loneHover({trace:m,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:p.xLabel,yLabel:p.yLabel,zLabel:p.zLabel,text:L,name:c.name,color:Qg.castHoverOption(m,b,\"bgcolor\")||c.color,borderColor:Qg.castHoverOption(m,b,\"bordercolor\"),fontFamily:Qg.castHoverOption(m,b,\"font.family\"),fontSize:Qg.castHoverOption(m,b,\"font.size\"),fontColor:Qg.castHoverOption(m,b,\"font.color\"),nameLength:Qg.castHoverOption(m,b,\"namelength\"),textAlign:Qg.castHoverOption(m,b,\"align\"),hovertemplate:cp.castOption(m,b,\"hovertemplate\"),hovertemplateLabels:cp.extendFlat({},C,p),eventData:[C]},{container:n,gd:t,inOut_bbox:g}),C.bbox=g[0]}f.distance<5&&(f.buttons||FIe)?t.emit(\"plotly_click\",S):t.emit(\"plotly_hover\",S),this.oldEventData=S}else Qg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};Sv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){cp.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var sk=[\"xaxis\",\"yaxis\",\"zaxis\"];function Y8t(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=sk[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!cp.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(cp.isArrayOrTypedArray(l[h]))for(var d=0;d<l[h].length;++d)f=s.d2l(l[h][d],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[h],0,u),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f))}}function K8t(e,t){for(var r=e.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=sk[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(t[0][i]=Math.min(t[0][i],c),t[1][i]=Math.max(t[1][i],c))}}}Sv.plot=function(e,t,r){var n=this;if(n.plotArgs=[e,t,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=t[n.id],f=r[n.id];n.fullLayout=t,n.fullSceneLayout=c,n.axesOptions.merge(t,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(V8t(c.bgcolor)),n.setConvert(l),e?Array.isArray(e)||(e=[e]):e=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&Y8t(this,i,h);K8t(this,h);var d=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?d[s]=1:d[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=d,n.convertAnnotations(this),o=0;o<e.length;++o)i=e[o],!(i.visible!==!0||i._length===0)&&(a=n.traces[i.uid],a?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var v=Object.keys(n.traces);e:for(o=0;o<v.length;++o){for(s=0;s<e.length;++s)if(e[s].uid===v[o]&&e[s].visible===!0&&e[s]._length!==0)continue e;a=n.traces[v[o]],a.dispose(),delete n.traces[v[o]]}n.glplot.objects.sort(function(ae,_e){return ae._trace.data.index-_e._trace.data.index});var m=[[0,0,0],[0,0,0]],b=[],p={};for(o=0;o<3;++o){l=c[sk[o]],u=l.type,u in p?(p[u].acc*=d[o],p[u].count+=1):p[u]={acc:d[o],count:1};var k;if(l.autorange){m[0][o]=1/0,m[1][o]=-1/0;var M=n.glplot.objects,T=n.fullSceneLayout.annotations||[],L=l._name.charAt(0);for(s=0;s<M.length;s++){var x=M[s],C=x.bounds,S=x._trace.data._pad||0;x.constructor.name===\"ErrorBars\"&&l._lowerLogErrorBound?m[0][o]=Math.min(m[0][o],l._lowerLogErrorBound):m[0][o]=Math.min(m[0][o],C[0][o]/d[o]-S),m[1][o]=Math.max(m[1][o],C[1][o]/d[o]+S)}for(s=0;s<T.length;s++){var g=T[s];if(g.visible){var P=l.r2l(g[L]);m[0][o]=Math.min(m[0][o],P),m[1][o]=Math.max(m[1][o],P)}}if(\"rangemode\"in l&&l.rangemode===\"tozero\"&&(m[0][o]=Math.min(m[0][o],0),m[1][o]=Math.max(m[1][o],0)),m[0][o]>m[1][o])m[0][o]=-1,m[1][o]=1;else{var E=m[1][o]-m[0][o];m[0][o]-=E/32,m[1][o]+=E/32}if(k=[m[0][o],m[1][o]],k=Z8t(k,l),m[0][o]=k[0],m[1][o]=k[1],l.isReversed()){var z=m[0][o];m[0][o]=m[1][o],m[1][o]=z}}else k=l.range,m[0][o]=l.r2l(k[0]),m[1][o]=l.r2l(k[1]);m[0][o]===m[1][o]&&(m[0][o]-=1,m[1][o]+=1),b[o]=m[1][o]-m[0][o],l.range=[m[0][o],m[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var q,V=c.aspectmode;if(V===\"cube\")q=[1,1,1];else if(V===\"manual\"){var G=c.aspectratio;q=[G.x,G.y,G.z]}else if(V===\"auto\"||V===\"data\"){var Z=[1,1,1];for(o=0;o<3;++o){l=c[sk[o]],u=l.type;var j=p[u];Z[o]=Math.pow(j.acc,1/j.count)/d[o]}V===\"data\"||Math.max.apply(null,Z)/Math.min.apply(null,Z)<=4?q=Z:q=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");c.aspectratio.x=f.aspectratio.x=q[0],c.aspectratio.y=f.aspectratio.y=q[1],c.aspectratio.z=f.aspectratio.z=q[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var N=c.domain||null,H=t._size||null;if(N&&H){var re=n.container.style;re.position=\"absolute\",re.left=H.l+N.x[0]*H.w+\"px\",re.top=H.t+(1-N.y[1])*H.h+\"px\",re.width=H.w*(N.x[1]-N.x[0])+\"px\",re.height=H.h*(N.y[1]-N.y[0])+\"px\"}n.glplot.redraw()}};Sv.destroy=function(){var e=this;e.glplot&&(e.camera.mouseListener.enabled=!1,e.container.removeEventListener(\"wheel\",e.camera.wheelListener),e.camera=null,e.glplot.dispose(),e.container.parentNode.removeChild(e.container),e.glplot=null)};function J8t(e){return[[e.eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]}function $8t(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}Sv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),$8t(e.camera)};Sv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,J8t(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};Sv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=cp.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};Sv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=cp.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};Sv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=cp.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=cp.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),fF.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=cp.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=cp.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};Sv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;fF.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,cp.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function Q8t(e,t,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*n+a)+o,l=4*(t*i+a)+o,u=e[s];e[s]=e[l],e[l]=u}}function eRt(e,t,r){for(var n=0;n<r;++n)for(var i=0;i<t;++i){var a=4*(t*n+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}Sv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(ok),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),Q8t(a,n,i),eRt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(ok),u};Sv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[sk[t]];hF.setConvert(r,e.fullLayout),r.setScale=cp.noop}};Sv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},hF.setConvert(e._mockAxis,r)};qIe.exports=zIe});var NIe=ye((Kgr,BIe)=>{\"use strict\";BIe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var UX=ye((Jgr,UIe)=>{\"use strict\";var tRt=ka(),xs=Rd(),NX=Ao().extendFlat,rRt=mc().overrideAll;UIe.exports=rRt({visible:xs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:tRt.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:xs.color,categoryorder:xs.categoryorder,categoryarray:xs.categoryarray,title:{text:xs.title.text,font:xs.title.font},type:NX({},xs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:xs.autotypenumbers,autorange:xs.autorange,autorangeoptions:{minallowed:xs.autorangeoptions.minallowed,maxallowed:xs.autorangeoptions.maxallowed,clipmin:xs.autorangeoptions.clipmin,clipmax:xs.autorangeoptions.clipmax,include:xs.autorangeoptions.include,editType:\"plot\"},rangemode:xs.rangemode,minallowed:xs.minallowed,maxallowed:xs.maxallowed,range:NX({},xs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:xs.minor.tickmode,nticks:xs.nticks,tick0:xs.tick0,dtick:xs.dtick,tickvals:xs.tickvals,ticktext:xs.ticktext,ticks:xs.ticks,mirror:xs.mirror,ticklen:xs.ticklen,tickwidth:xs.tickwidth,tickcolor:xs.tickcolor,showticklabels:xs.showticklabels,labelalias:xs.labelalias,tickfont:xs.tickfont,tickangle:xs.tickangle,tickprefix:xs.tickprefix,showtickprefix:xs.showtickprefix,ticksuffix:xs.ticksuffix,showticksuffix:xs.showticksuffix,showexponent:xs.showexponent,exponentformat:xs.exponentformat,minexponent:xs.minexponent,separatethousands:xs.separatethousands,tickformat:xs.tickformat,tickformatstops:xs.tickformatstops,hoverformat:xs.hoverformat,showline:xs.showline,linecolor:xs.linecolor,linewidth:xs.linewidth,showgrid:xs.showgrid,gridcolor:NX({},xs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:xs.gridwidth,zeroline:xs.zeroline,zerolinecolor:xs.zerolinecolor,zerolinewidth:xs.zerolinewidth},\"plot\",\"from-root\")});var jX=ye(($gr,VIe)=>{\"use strict\";var VX=UX(),iRt=Cc().attributes,GX=Ao().extendFlat,nRt=Pr().counterRegex;function HX(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}VIe.exports={_arrayAttrRegexps:[nRt(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:GX(HX(0,0,1),{}),center:GX(HX(0,0,0),{}),eye:GX(HX(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:iRt({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:VX,yaxis:VX,zaxis:VX,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\"}});var WIe=ye((Qgr,jIe)=>{\"use strict\";var aRt=fd().mix,GIe=Pr(),oRt=vl(),sRt=UX(),lRt=FU(),uRt=v4(),HIe=[\"xaxis\",\"yaxis\",\"zaxis\"],cRt=13600/187;jIe.exports=function(t,r,n){var i,a;function o(u,c){return GIe.coerce(i,a,sRt,u,c)}for(var s=0;s<HIe.length;s++){var l=HIe[s];i=t[l]||{},a=oRt.newContainer(r,l),a._id=l[0]+n.scene,a._name=l,lRt(i,a,o,n),uRt(i,a,o,{font:n.font,letter:l[0],data:n.data,showGrid:!0,noAutotickangles:!0,noMinorloglabels:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,noUnifiedhovertitle:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),o(\"gridcolor\",aRt(a.color,n.bgColor,cRt).toRgbString()),o(\"title.text\",l[0]),a.setScale=GIe.noop,o(\"showspikes\")&&(o(\"spikesides\"),o(\"spikethickness\"),o(\"spikecolor\",a.color)),o(\"showaxeslabels\"),o(\"showbackground\")&&o(\"backgroundcolor\")}}});var KIe=ye((emr,YIe)=>{\"use strict\";var fRt=Pr(),hRt=ka(),dRt=Oa(),vRt=O_(),pRt=WIe(),XIe=jX(),gRt=Id().getSubplotData,ZIe=\"gl3d\";YIe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=fRt.validate(t[o],XIe[o]);if(s)return t[o]}}vRt(t,r,n,{type:ZIe,attributes:XIe,handleDefaults:mRt,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function mRt(e,t,r,n){for(var i=r(\"bgcolor\"),a=hRt.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s<o.length;s++)r(\"camera.\"+o[s]+\".x\"),r(\"camera.\"+o[s]+\".y\"),r(\"camera.\"+o[s]+\".z\");r(\"camera.projection.type\");var l=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),u=l?\"manual\":\"auto\",c=r(\"aspectmode\",u);l||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},c===\"manual\"&&(t.aspectmode=\"auto\"),e.aspectmode=t.aspectmode);var f=gRt(n.fullData,ZIe,n.id);pRt(e,t,{font:n.font,scene:n.id,data:f,bgColor:a,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),dRt.getComponentMethod(\"annotations3d\",\"handleDefaults\")(e,t,n);var h=n.getDfltFromLayout(\"dragmode\");if(h!==!1&&!h)if(h=\"orbit\",e.camera&&e.camera.up){var d=e.camera.up.x,v=e.camera.up.y,m=e.camera.up.z;m!==0&&(!d||!v||!m||m/Math.sqrt(d*d+v*v+m*m)>.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var ux=ye(fp=>{\"use strict\";var yRt=mc().overrideAll,_Rt=X1(),xRt=OIe(),bRt=Id().getSubplotData,wRt=Pr(),TRt=Wp(),JA=\"gl3d\",WX=\"scene\";fp.name=JA;fp.attr=WX;fp.idRoot=WX;fp.idRegex=fp.attrRegex=wRt.counterRegex(\"scene\");fp.attributes=NIe();fp.layoutAttributes=jX();fp.baseLayoutAttrOverrides=yRt({hoverlabel:_Rt.hoverlabel},\"plot\",\"nested\");fp.supplyLayoutDefaults=KIe();fp.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[JA],a=0;a<i.length;a++){var o=i[a],s=bRt(n,JA,o),l=r[o],u=l.camera,c=l._scene;c||(c=new xRt({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},r),l._scene=c),c.viewInitial||(c.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),c.plot(s,r,t.layout)}};fp.clean=function(e,t,r,n){for(var i=n._subplots[JA]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}};fp.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[JA],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._scene,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:TRt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}};fp.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var r=t.slice(5);return r===\"1\"&&(r=\"\"),WX+r}};fp.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[JA],n=0;n<r.length;n++){var i=t[r[n]]._scene;i.updateFx(t.dragmode,t.hovermode)}}});var $Ie=ye((rmr,JIe)=>{\"use strict\";JIe.exports={plot:sIe(),attributes:qX(),markerSymbols:sF(),supplyDefaults:vIe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:gIe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:ux(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var e8e=ye((imr,QIe)=>{\"use strict\";QIe.exports=$Ie()});var lk=ye((nmr,i8e)=>{\"use strict\";var t8e=ka(),ARt=Tu(),XX=vf().axisHoverFormat,{hovertemplateAttrs:SRt,templatefallbackAttrs:MRt}=Pl(),r8e=Vl(),ZX=Ao().extendFlat,ERt=mc().overrideAll;function YX(e){return{valType:\"boolean\",dflt:!1}}function KX(e){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:YX(\"x\"),y:YX(\"y\"),z:YX(\"z\")},color:{valType:\"color\",dflt:t8e.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:t8e.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var JX=i8e.exports=ERt(ZX({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:SRt(),hovertemplatefallback:MRt(),xhoverformat:XX(\"x\"),yhoverformat:XX(\"y\"),zhoverformat:XX(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},ARt(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:KX(\"x\"),y:KX(\"y\"),z:KX(\"z\")},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05,description:\"Represents the level that incident rays are reflected in a single direction, causing shine.\"},roughness:{valType:\"number\",min:0,max:1,dflt:.5,description:\"Alters specular reflection; the rougher the surface, the wider and less contrasty the shine.\"},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},hoverinfo:ZX({},r8e.hoverinfo),showlegend:ZX({},r8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");JX.x.editType=JX.y.editType=JX.z.editType=\"calc+clearAxisTypes\"});var QX=ye((amr,o8e)=>{\"use strict\";var kRt=Oa(),n8e=Pr(),CRt=td(),LRt=lk(),$X=.1;function PRt(e,t){for(var r=[],n=32,i=0;i<n;i++){var a=i/(n-1),o=t+(1-t)*(1-Math.pow(Math.sin(e*a*Math.PI),2));r.push([a,Math.max(0,Math.min(1,o))])}return r}function IRt(e){var t=0;if(!Array.isArray(e)||e.length<2||!e[0]||!e[e.length-1]||+e[0][0]!=0||+e[e.length-1][0]!=1)return!1;for(var r=0;r<e.length;r++){var n=e[r];if(n.length!==2||+n[0]<t)return!1;t=+n[0]}return!0}function RRt(e,t,r,n){var i,a;function o(b,p){return n8e.coerce(e,t,LRt,b,p)}var s=o(\"x\"),l=o(\"y\"),u=o(\"z\");if(!u||!u.length||s&&s.length<1||l&&l.length<1){t.visible=!1;return}t._xlength=Array.isArray(s)&&n8e.isArrayOrTypedArray(s[0])?u.length:u[0].length,t._ylength=u.length;var c=kRt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");c(e,t,[\"x\",\"y\",\"z\"],n),o(\"text\"),o(\"hovertext\"),o(\"hovertemplate\"),o(\"hovertemplatefallback\"),o(\"xhoverformat\"),o(\"yhoverformat\"),o(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(b){o(b)});var f=o(\"surfacecolor\"),h=[\"x\",\"y\",\"z\"];for(i=0;i<3;++i){var d=\"contours.\"+h[i],v=o(d+\".show\"),m=o(d+\".highlight\");if(v||m)for(a=0;a<3;++a)o(d+\".project.\"+h[a]);v&&(o(d+\".color\"),o(d+\".width\"),o(d+\".usecolormap\")),m&&(o(d+\".highlightcolor\"),o(d+\".highlightwidth\")),o(d+\".start\"),o(d+\".end\"),o(d+\".size\")}CRt(e,t,n,o,{prefix:\"\",cLetter:\"c\"}),a8e(e,t,n,o),t._length=null}function a8e(e,t,r,n){var i=n(\"opacityscale\");i===\"max\"?t.opacityscale=[[0,$X],[1,1]]:i===\"min\"?t.opacityscale=[[0,1],[1,$X]]:i===\"extremes\"?t.opacityscale=PRt(1,$X):IRt(i)||(t.opacityscale=void 0)}o8e.exports={supplyDefaults:RRt,opacityscaleDefaults:a8e}});var u8e=ye((omr,l8e)=>{\"use strict\";var s8e=gv();l8e.exports=function(t,r){r.surfacecolor?s8e(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):s8e(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var p8e=ye((smr,v8e)=>{\"use strict\";var DRt=qd().gl_surface3d,$A=qd().ndarray,FRt=qd().ndarray_linear_interpolate.d2,zRt=d8(),qRt=v8(),uk=Pr().isArrayOrTypedArray,ORt=o1().parseColorScale,c8e=a1(),BRt=tc().extractOpts;function h8e(e,t,r){this.scene=e,this.uid=r,this.surface=t,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var em=h8e.prototype;em.getXat=function(e,t,r,n){var i=uk(this.data.x)?uk(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};em.getYat=function(e,t,r,n){var i=uk(this.data.y)?uk(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};em.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};em.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return uk(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function NRt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var QA=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function URt(e,t){if(e<t)return 0;for(var r=0;Math.floor(e%t)===0;)e/=t,r++;return r}function eZ(e){for(var t=[],r=0;r<QA.length;r++){var n=QA[r];t.push(URt(e,n))}return t}function VRt(e){for(var t=eZ(e),r=e,n=0;n<QA.length;n++)if(t[n]>0){r=QA[n];break}return r}function GRt(e,t){if(!(e<1||t<1)){for(var r=eZ(e),n=eZ(t),i=1,a=0;a<QA.length;a++)i*=Math.pow(QA[a],Math.max(r[a],n[a]));return i}}function HRt(e){if(e.length!==0){for(var t=1,r=0;r<e.length;r++)t=GRt(t,e[r]);return t}}em.calcXnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getXat(t-1,0),i=this.getXat(t,0);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};em.calcYnums=function(e){var t,r=[];for(t=1;t<e;t++){var n=this.getYat(0,t-1),i=this.getYat(0,t);i!==n&&n!==void 0&&n!==null&&i!==void 0&&i!==null?r[t-1]=Math.abs(i-n):r[t-1]=0}var a=0;for(t=1;t<e;t++)a+=r[t-1];for(t=1;t<e;t++)r[t-1]===0?r[t-1]=1:r[t-1]=Math.round(a/r[t-1]);return r};var d8e=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],f8e=d8e[9],dF=d8e[13];em.estimateScale=function(e,t){for(var r=t===0?this.calcXnums(e):this.calcYnums(e),n=1+HRt(r);n<f8e;)n*=2;for(;n>dF;)n--,n/=VRt(n),n++,n<f8e&&(n=dF);var i=Math.round(n/e);return i>1?i:1};function jRt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function WRt(e,t,r){return XRt(e,t,jRt,r),e}function XRt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s<a;s++)for(var l=0;l<o;l++)r(i,[s,l],n),e.set(s,l,FRt(t,i[0],i[1]));return e}em.refineCoords=function(e){for(var t=this.dataScaleX,r=this.dataScaleY,n=e[0].shape[0],i=e[0].shape[1],a=Math.floor(e[0].shape[0]*t+1)|0,o=Math.floor(e[0].shape[1]*r+1)|0,s=1+n+1,l=1+i+1,u=$A(new Float32Array(s*l),[s,l]),c=[1/t,0,0,0,1/r,0,0,0,1],f=0;f<e.length;++f){this.surface.padField(u,e[f]);var h=$A(new Float32Array(a*o),[a,o]);WRt(h,u,c),e[f]=h}};function ZRt(e,t){for(var r=!1,n=0;n<e.length;n++)if(t===e[n]){r=!0;break}r===!1&&e.push(t)}em.setContourLevels=function(){var e=[[],[],[]],t=[!1,!1,!1],r=!1,n,i,a;for(n=0;n<3;++n)if(this.showContour[n]&&(r=!0,this.contourSize[n]>0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];i<this.contourEnd[n];i+=this.contourSize[n])a=i*this.scene.dataScale[n],ZRt(e[n],a);if(r){var o=[[],[],[]];for(n=0;n<3;++n)this.showContour[n]&&(o[n]=t[n]?e[n]:this.scene.contourLevels[n]);this.surface.update({levels:o})}};em.update=function(e){var t=this.scene,r=t.fullSceneLayout,n=this.surface,i=ORt(e),a=t.dataScale,o=e.z[0].length,s=e._ylength,l=t.contourLevels;this.data=e;var u,c,f,h,d=[];for(u=0;u<3;u++)for(d[u]=[],c=0;c<o;c++)d[u][c]=[];for(c=0;c<o;c++)for(f=0;f<s;f++)d[0][c][f]=this.getXat(c,f,e.xcalendar,r.xaxis),d[1][c][f]=this.getYat(c,f,e.ycalendar,r.yaxis),d[2][c][f]=this.getZat(c,f,e.zcalendar,r.zaxis);if(e.connectgaps)for(e._emptypoints=qRt(d[2]),zRt(d[2],e._emptypoints),e._interpolatedZ=[],c=0;c<o;c++)for(e._interpolatedZ[c]=[],f=0;f<s;f++)e._interpolatedZ[c][f]=d[2][c][f];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h==null?d[u][c][f]=NaN:h=d[u][c][f]*=a[u];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(this.minValues[u]>h&&(this.minValues[u]=h),this.maxValues[u]<h&&(this.maxValues[u]=h));for(u=0;u<3;u++)this.objectOffset[u]=.5*(this.minValues[u]+this.maxValues[u]);for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)h=d[u][c][f],h!=null&&(d[u][c][f]-=this.objectOffset[u]);var v=[$A(new Float32Array(o*s),[o,s]),$A(new Float32Array(o*s),[o,s]),$A(new Float32Array(o*s),[o,s])];for(u=0;u<3;u++)for(c=0;c<o;c++)for(f=0;f<s;f++)v[u].set(c,f,d[u][c][f]);d=[];var m={colormap:i,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!e.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:e.opacityscale,opacity:e.opacity},b=BRt(e);if(m.intensityBounds=[b.min,b.max],e.surfacecolor){var p=$A(new Float32Array(o*s),[o,s]);for(c=0;c<o;c++)for(f=0;f<s;f++)p.set(c,f,e.surfacecolor[f][c]);v.push(p)}else m.intensityBounds[0]*=a[2],m.intensityBounds[1]*=a[2];(dF<v[0].shape[0]||dF<v[0].shape[1])&&(this.refineData=!1),this.refineData===!0&&(this.dataScaleX=this.estimateScale(v[0].shape[0],0),this.dataScaleY=this.estimateScale(v[0].shape[1],1),(this.dataScaleX!==1||this.dataScaleY!==1)&&this.refineCoords(v)),e.surfacecolor&&(m.intensity=v.pop());var k=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var T=e.contours[M[u]];k[u]=T.highlight,m.showContour[u]=T.show||T.highlight,m.showContour[u]&&(m.contourProject[u]=[T.project.x,T.project.y,T.project.z],T.show?(this.showContour[u]=!0,m.levels[u]=l[u],n.highlightColor[u]=m.contourColor[u]=c8e(T.color),T.usecolormap?n.highlightTint[u]=m.contourTint[u]=0:n.highlightTint[u]=m.contourTint[u]=1,m.contourWidth[u]=T.width,this.contourStart[u]=T.start,this.contourEnd[u]=T.end,this.contourSize[u]=T.size):(this.showContour[u]=!1,this.contourStart[u]=null,this.contourEnd[u]=null,this.contourSize[u]=0),T.highlight&&(m.dynamicColor[u]=c8e(T.highlightcolor),m.dynamicWidth[u]=T.highlightwidth))}NRt(i)&&(m.vertexColor=!0),m.objectOffset=this.objectOffset,m.coords=v,n.update(m),n.visible=e.visible,n.enableDynamic=k,n.enableHighlight=k,n.snapToData=!0,\"lighting\"in e&&(n.ambientLight=e.lighting.ambient,n.diffuseLight=e.lighting.diffuse,n.specularLight=e.lighting.specular,n.roughness=e.lighting.roughness,n.fresnel=e.lighting.fresnel),\"lightposition\"in e&&(n.lightPosition=[e.lightposition.x,e.lightposition.y,e.lightposition.z])};em.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()};function YRt(e,t){var r=e.glplot.gl,n=DRt({gl:r}),i=new h8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}v8e.exports=YRt});var m8e=ye((lmr,g8e)=>{\"use strict\";g8e.exports={attributes:lk(),supplyDefaults:QX().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:u8e(),plot:p8e(),moduleType:\"trace\",name:\"surface\",basePlotModule:ux(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var _8e=ye((umr,y8e)=>{\"use strict\";y8e.exports=m8e()});var e5=ye((cmr,b8e)=>{\"use strict\";var KRt=Tu(),tZ=vf().axisHoverFormat,{hovertemplateAttrs:JRt,templatefallbackAttrs:$Rt}=Pl(),cx=lk(),x8e=Vl(),fx=Ao().extendFlat;b8e.exports=fx({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:JRt({editType:\"calc\"}),hovertemplatefallback:$Rt({editType:\"calc\"}),xhoverformat:tZ(\"x\"),yhoverformat:tZ(\"y\"),zhoverformat:tZ(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},KRt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:cx.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:fx({},cx.contours.x.show,{}),color:cx.contours.x.color,width:cx.contours.x.width,editType:\"calc\"},lightposition:{x:fx({},cx.lightposition.x,{dflt:1e5}),y:fx({},cx.lightposition.y,{dflt:1e5}),z:fx({},cx.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:fx({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\",description:\"Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry.\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\",description:\"Epsilon for face normals calculation avoids math issues arising from degenerate geometry.\"},editType:\"calc\"},cx.lighting),hoverinfo:fx({},x8e.hoverinfo,{editType:\"calc\"}),showlegend:fx({},x8e.showlegend,{dflt:!1})})});var pF=ye((fmr,T8e)=>{\"use strict\";var QRt=Tu(),vF=vf().axisHoverFormat,{hovertemplateAttrs:eDt,templatefallbackAttrs:tDt}=Pl(),ck=e5(),w8e=Vl(),rZ=Ao().extendFlat,rDt=mc().overrideAll;function iZ(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function nZ(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var t5=T8e.exports=rDt(rZ({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:iZ(\"x\"),y:iZ(\"y\"),z:iZ(\"z\")},caps:{x:nZ(\"x\"),y:nZ(\"y\"),z:nZ(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:eDt(),hovertemplatefallback:tDt(),xhoverformat:vF(\"x\"),yhoverformat:vF(\"y\"),zhoverformat:vF(\"z\"),valuehoverformat:vF(\"value\",1),showlegend:rZ({},w8e.showlegend,{dflt:!1})},QRt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:ck.opacity,lightposition:ck.lightposition,lighting:ck.lighting,flatshading:ck.flatshading,contour:ck.contour,hoverinfo:rZ({},w8e.hoverinfo)}),\"calc\",\"nested\");t5.flatshading.dflt=!0;t5.lighting.facenormalsepsilon.dflt=0;t5.x.editType=t5.y.editType=t5.z.editType=t5.value.editType=\"calc+clearAxisTypes\"});var aZ=ye((hmr,S8e)=>{\"use strict\";var iDt=Pr(),nDt=Oa(),aDt=pF(),oDt=td();function sDt(e,t,r,n){function i(a,o){return iDt.coerce(e,t,aDt,a,o)}A8e(e,t,r,n,i)}function A8e(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=nDt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(m){i(m+\"hoverformat\");var b=\"caps.\"+m,p=i(b+\".show\");p&&i(b+\".fill\");var k=\"slices.\"+m,M=i(k+\".show\");M&&(i(k+\".fill\"),i(k+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(m){i(m)}),oDt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}S8e.exports={supplyDefaults:sDt,supplyIsoDefaults:A8e}});var gF=ye((dmr,E8e)=>{\"use strict\";var sZ=Pr(),lDt=gv();function uDt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=$m(t.u,t._len),t._v=$m(t.v,t._len),t._w=$m(t.w,t._len),t._x=$m(t.x,t._len),t._y=$m(t.y,t._len),t._z=$m(t.z,t._len);var r=M8e(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=$m(t.starts.x||[]),a=$m(t.starts.y||[]),o=$m(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u<t._len;u++){var c=t._u[u],f=t._v[u],h=t._w[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}for(lDt(e,t,{vals:[l,s],containerStr:\"\",cLetter:\"c\"}),u=0;u<n;u++){var v=i[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var m=a[u];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var b=o[u];r.zMax=Math.max(r.zMax,b),r.zMin=Math.min(r.zMin,b)}t._slen=n,t._normMax=s,t._xbnds=[r.xMin,r.xMax],t._ybnds=[r.yMin,r.yMax],t._zbnds=[r.zMin,r.zMax]}function M8e(e){var t=e._x,r=e._y,n=e._z,i=e._len,a,o,s,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,v=\"\",m,b,p,k,M,T,L,x,C;for(i&&(k=t[0],T=r[0],x=n[0]),i>1&&(M=t[i-1],L=r[i-1],C=n[i-1]),a=0;a<i;a++)l=Math.max(l,t[a]),u=Math.min(u,t[a]),c=Math.max(c,r[a]),f=Math.min(f,r[a]),h=Math.max(h,n[a]),d=Math.min(d,n[a]),!m&&t[a]!==k&&(m=!0,v+=\"x\"),!b&&r[a]!==T&&(b=!0,v+=\"y\"),!p&&n[a]!==x&&(p=!0,v+=\"z\");m||(v+=\"x\"),b||(v+=\"y\"),p||(v+=\"z\");var S=oZ(e._x),g=oZ(e._y),P=oZ(e._z);v=v.replace(\"x\",(k>M?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(T>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(x>C?\"-\":\"+\")+\"z\");var E=function(){i=0,S=[],g=[],P=[]};(!i||i<S.length*g.length*P.length)&&E();var z=function(Be){return Be===\"x\"?t:Be===\"y\"?r:n},q=function(Be){return Be===\"x\"?S:Be===\"y\"?g:P},V=function(Be){return Be[i-1]<Be[0]?-1:1},G=z(v[1]),Z=z(v[3]),j=z(v[5]),N=q(v[1]).length,H=q(v[3]).length,re=q(v[5]).length,ae=!1,_e=function(Be,Le,me){return N*(H*Be+Le)+me},Ee=V(z(v[1])),Ce=V(z(v[3])),ge=V(z(v[5]));for(a=0;a<re-1;a++){for(o=0;o<H-1;o++){for(s=0;s<N-1;s++){var ie=_e(a,o,s),Se=_e(a,o,s+1),ke=_e(a,o+1,s),be=_e(a+1,o,s);if((!(G[ie]*Ee<G[Se]*Ee)||!(Z[ie]*Ce<Z[ke]*Ce)||!(j[ie]*ge<j[be]*ge))&&(ae=!0),ae)break}if(ae)break}if(ae)break}return ae&&(sZ.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),E()),{xMin:u,yMin:f,zMin:d,xMax:l,yMax:c,zMax:h,Xs:S,Ys:g,Zs:P,len:i,fill:v}}function oZ(e){return sZ.distinctVals(e).vals}function $m(e,t){if(t===void 0&&(t=e.length),sZ.isTypedArray(e))return e.subarray(0,t);for(var r=[],n=0;n<t;n++)r[n]=+e[n];return r}E8e.exports={calc:uDt,filter:$m,processGrid:M8e}});var lZ=ye((vmr,k8e)=>{\"use strict\";var cDt=gv(),fDt=gF().processGrid,mF=gF().filter;k8e.exports=function(t,r){r._len=Math.min(r.x.length,r.y.length,r.z.length,r.value.length),r._x=mF(r.x,r._len),r._y=mF(r.y,r._len),r._z=mF(r.z,r._len),r._value=mF(r.value,r._len);var n=fDt(r);r._gridFill=n.fill,r._Xs=n.Xs,r._Ys=n.Ys,r._Zs=n.Zs,r._len=n.len;for(var i=1/0,a=-1/0,o=0;o<r._len;o++){var s=r._value[o];i=Math.min(i,s),a=Math.max(a,s)}r._minValues=i,r._maxValues=a,r._vMin=r.isomin===void 0||r.isomin===null?i:r.isomin,r._vMax=r.isomax===void 0||r.isomax===null?a:r.isomax,cDt(t,r,{vals:[r._vMin,r._vMax],containerStr:\"\",cLetter:\"c\"})}});var r5=ye((pmr,C8e)=>{\"use strict\";C8e.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o<i;o++)a[o]=[t[o],r[o],n[o]];return a}});var yF=ye((gmr,R8e)=>{\"use strict\";var hDt=qd().gl_mesh3d,dDt=o1().parseColorScale,vDt=Pr().isArrayOrTypedArray,pDt=a1(),gDt=tc().extractOpts,L8e=r5(),fk=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n<e&&e<=i)return{id:r,distRatio:(i-e)/(i-n)}}return{id:0,distRatio:0}};function P8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var uZ=P8e.prototype;uZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=fk(r,this.data._Xs).id,l=fk(n,this.data._Ys).id,u=fk(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return vDt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};uZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=I8e(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=L8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=L8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:pDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=gDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=dDt(e),this.mesh.update(o)};uZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var mDt=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function I8e(e){e._meshI=[],e._meshJ=[],e._meshK=[];var t=e.surface.show,r=e.spaceframe.show,n=e.surface.fill,i=e.spaceframe.fill,a=!1,o=!1,s=0,l,u,c=e._Xs,f=e._Ys,h=e._Zs,d=c.length,v=f.length,m=h.length,b=mDt.indexOf(e._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),p=function(St,Tt,dt){switch(b){case 5:return dt+m*Tt+m*v*St;case 4:return dt+m*St+m*d*Tt;case 3:return Tt+v*dt+v*m*St;case 2:return Tt+v*St+v*d*dt;case 1:return St+d*dt+d*m*Tt;default:return St+d*Tt+d*v*dt}},k=e._minValues,M=e._maxValues,T=e._vMin,L=e._vMax,x,C,S,g;function P(St,Tt,dt){for(var Et=g.length,pt=u;pt<Et;pt++)if(St===x[pt]&&Tt===C[pt]&&dt===S[pt])return pt;return-1}function E(){u=l}function z(){x=[],C=[],S=[],g=[],l=0,E()}function q(St,Tt,dt,Et){return x.push(St),C.push(Tt),S.push(dt),g.push(Et),l++,l-1}function V(St,Tt,dt){return e._meshI.push(St),e._meshJ.push(Tt),e._meshK.push(dt),s++,s-1}function G(St,Tt,dt){for(var Et=[],pt=0;pt<St.length;pt++)Et[pt]=(St[pt]+Tt[pt]+dt[pt])/3;return Et}function Z(St,Tt,dt){for(var Et=[],pt=0;pt<St.length;pt++)Et[pt]=St[pt]*(1-dt)+dt*Tt[pt];return Et}var j;function N(St){j=St}function H(St,Tt){var dt=St[0],Et=St[1],pt=St[2],jt=G(dt,Et,pt),or=Math.sqrt(1-j),mr=Z(jt,dt,or),Ar=Z(jt,Et,or),ei=Z(jt,pt,or),qr=Tt[0],jr=Tt[1],gt=Tt[2];return{xyzv:[[dt,Et,Ar],[Ar,mr,dt],[Et,pt,ei],[ei,Ar,Et],[pt,dt,mr],[mr,ei,pt]],abc:[[qr,jr,-1],[-1,-1,qr],[jr,gt,-1],[-1,-1,jr],[gt,qr,-1],[-1,-1,gt]]}}function re(St,Tt){return St===\"all\"||St===null?!0:St.indexOf(Tt)>-1}function ae(St,Tt){return St===null?Tt:St}function _e(St,Tt,dt){E();var Et=[Tt],pt=[dt];if(j>=1)Et=[Tt],pt=[dt];else if(j>0){var jt=H(Tt,dt);Et=jt.xyzv,pt=jt.abc}for(var or=0;or<Et.length;or++){Tt=Et[or],dt=pt[or];for(var mr=[],Ar=0;Ar<3;Ar++){var ei=Tt[Ar][0],qr=Tt[Ar][1],jr=Tt[Ar][2],gt=Tt[Ar][3],Ge=dt[Ar]>-1?dt[Ar]:P(ei,qr,jr);Ge>-1?mr[Ar]=Ge:mr[Ar]=q(ei,qr,jr,ae(St,gt))}V(mr[0],mr[1],mr[2])}}function Ee(St,Tt,dt){var Et=function(pt,jt,or){_e(St,[Tt[pt],Tt[jt],Tt[or]],[dt[pt],dt[jt],dt[or]])};Et(0,1,2),Et(2,3,0)}function Ce(St,Tt,dt){var Et=function(pt,jt,or){_e(St,[Tt[pt],Tt[jt],Tt[or]],[dt[pt],dt[jt],dt[or]])};Et(0,1,2),Et(3,0,1),Et(2,3,0),Et(1,2,3)}function ge(St,Tt,dt,Et){var pt=St[3];pt<dt&&(pt=dt),pt>Et&&(pt=Et);for(var jt=(St[3]-pt)/(St[3]-Tt[3]+1e-9),or=[],mr=0;mr<4;mr++)or[mr]=(1-jt)*St[mr]+jt*Tt[mr];return or}function ie(St,Tt,dt){return St>=Tt&&St<=dt}function Se(St){var Tt=.001*(L-T);return St>=T-Tt&&St<=L+Tt}function ke(St){for(var Tt=[],dt=0;dt<4;dt++){var Et=St[dt];Tt.push([e._x[Et],e._y[Et],e._z[Et],e._value[Et]])}return Tt}var be=3;function Be(St,Tt,dt,Et,pt,jt){jt||(jt=1),dt=[-1,-1,-1];var or=!1,mr=[ie(Tt[0][3],Et,pt),ie(Tt[1][3],Et,pt),ie(Tt[2][3],Et,pt)];if(!mr[0]&&!mr[1]&&!mr[2])return!1;var Ar=function(qr,jr,gt){return Se(jr[0][3])&&Se(jr[1][3])&&Se(jr[2][3])?(_e(qr,jr,gt),!0):jt<be?Be(qr,jr,gt,T,L,++jt):!1};if(mr[0]&&mr[1]&&mr[2])return Ar(St,Tt,dt)||or;var ei=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach(function(qr){if(mr[qr[0]]&&mr[qr[1]]&&!mr[qr[2]]){var jr=Tt[qr[0]],gt=Tt[qr[1]],Ge=Tt[qr[2]],Je=ge(Ge,jr,Et,pt),We=ge(Ge,gt,Et,pt);or=Ar(St,[We,Je,jr],[-1,-1,dt[qr[0]]])||or,or=Ar(St,[jr,gt,We],[dt[qr[0]],dt[qr[1]],-1])||or,ei=!0}}),ei||[[0,1,2],[1,2,0],[2,0,1]].forEach(function(qr){if(mr[qr[0]]&&!mr[qr[1]]&&!mr[qr[2]]){var jr=Tt[qr[0]],gt=Tt[qr[1]],Ge=Tt[qr[2]],Je=ge(gt,jr,Et,pt),We=ge(Ge,jr,Et,pt);or=Ar(St,[We,Je,jr],[-1,-1,dt[qr[0]]])||or,ei=!0}}),or}function Le(St,Tt,dt,Et){var pt=!1,jt=ke(Tt),or=[ie(jt[0][3],dt,Et),ie(jt[1][3],dt,Et),ie(jt[2][3],dt,Et),ie(jt[3][3],dt,Et)];if(!or[0]&&!or[1]&&!or[2]&&!or[3])return pt;if(or[0]&&or[1]&&or[2]&&or[3])return o&&(pt=Ce(St,jt,Tt)||pt),pt;var mr=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach(function(Ar){if(or[Ar[0]]&&or[Ar[1]]&&or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]];if(o)pt=_e(St,[ei,qr,jr],[Tt[Ar[0]],Tt[Ar[1]],Tt[Ar[2]]])||pt;else{var Ge=ge(gt,ei,dt,Et),Je=ge(gt,qr,dt,Et),We=ge(gt,jr,dt,Et);pt=_e(null,[Ge,Je,We],[-1,-1,-1])||pt}mr=!0}}),mr||([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach(function(Ar){if(or[Ar[0]]&&or[Ar[1]]&&!or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]],Ge=ge(jr,ei,dt,Et),Je=ge(jr,qr,dt,Et),We=ge(gt,qr,dt,Et),et=ge(gt,ei,dt,Et);o?(pt=_e(St,[ei,et,Ge],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[qr,Je,We],[Tt[Ar[1]],-1,-1])||pt):pt=Ee(null,[Ge,Je,We,et],[-1,-1,-1,-1])||pt,mr=!0}}),mr)||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach(function(Ar){if(or[Ar[0]]&&!or[Ar[1]]&&!or[Ar[2]]&&!or[Ar[3]]){var ei=jt[Ar[0]],qr=jt[Ar[1]],jr=jt[Ar[2]],gt=jt[Ar[3]],Ge=ge(qr,ei,dt,Et),Je=ge(jr,ei,dt,Et),We=ge(gt,ei,dt,Et);o?(pt=_e(St,[ei,Ge,Je],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[ei,Je,We],[Tt[Ar[0]],-1,-1])||pt,pt=_e(St,[ei,We,Ge],[Tt[Ar[0]],-1,-1])||pt):pt=_e(null,[Ge,Je,We],[-1,-1,-1])||pt,mr=!0}}),pt}function me(St,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr){var jr=!1;return a&&(re(St,\"A\")&&(jr=Le(null,[Tt,dt,Et,jt],ei,qr)||jr),re(St,\"B\")&&(jr=Le(null,[dt,Et,pt,Ar],ei,qr)||jr),re(St,\"C\")&&(jr=Le(null,[dt,jt,or,Ar],ei,qr)||jr),re(St,\"D\")&&(jr=Le(null,[Et,jt,mr,Ar],ei,qr)||jr),re(St,\"E\")&&(jr=Le(null,[dt,Et,jt,Ar],ei,qr)||jr)),o&&(jr=Le(St,[dt,Et,jt,Ar],ei,qr)||jr),jr}function Pe(St,Tt,dt,Et,pt,jt,or,mr){return[mr[0]===!0?!0:Be(St,ke([Tt,dt,Et]),[Tt,dt,Et],jt,or),mr[1]===!0?!0:Be(St,ke([Et,pt,Tt]),[Et,pt,Tt],jt,or)]}function ce(St,Tt,dt,Et,pt,jt,or,mr,Ar){return mr?Pe(St,Tt,dt,pt,Et,jt,or,Ar):Pe(St,dt,pt,Et,Tt,jt,or,Ar)}function He(St,Tt,dt,Et,pt,jt,or){var mr=!1,Ar,ei,qr,jr,gt=function(){mr=Be(St,[Ar,ei,qr],[-1,-1,-1],pt,jt)||mr,mr=Be(St,[qr,jr,Ar],[-1,-1,-1],pt,jt)||mr},Ge=or[0],Je=or[1],We=or[2];return Ge&&(Ar=Z(ke([p(Tt,dt-0,Et-0)])[0],ke([p(Tt-1,dt-0,Et-0)])[0],Ge),ei=Z(ke([p(Tt,dt-0,Et-1)])[0],ke([p(Tt-1,dt-0,Et-1)])[0],Ge),qr=Z(ke([p(Tt,dt-1,Et-1)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],Ge),jr=Z(ke([p(Tt,dt-1,Et-0)])[0],ke([p(Tt-1,dt-1,Et-0)])[0],Ge),gt()),Je&&(Ar=Z(ke([p(Tt-0,dt,Et-0)])[0],ke([p(Tt-0,dt-1,Et-0)])[0],Je),ei=Z(ke([p(Tt-0,dt,Et-1)])[0],ke([p(Tt-0,dt-1,Et-1)])[0],Je),qr=Z(ke([p(Tt-1,dt,Et-1)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],Je),jr=Z(ke([p(Tt-1,dt,Et-0)])[0],ke([p(Tt-1,dt-1,Et-0)])[0],Je),gt()),We&&(Ar=Z(ke([p(Tt-0,dt-0,Et)])[0],ke([p(Tt-0,dt-0,Et-1)])[0],We),ei=Z(ke([p(Tt-0,dt-1,Et)])[0],ke([p(Tt-0,dt-1,Et-1)])[0],We),qr=Z(ke([p(Tt-1,dt-1,Et)])[0],ke([p(Tt-1,dt-1,Et-1)])[0],We),jr=Z(ke([p(Tt-1,dt-0,Et)])[0],ke([p(Tt-1,dt-0,Et-1)])[0],We),gt()),mr}function lt(St,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr,jr){var gt=St;return jr?(a&&St===\"even\"&&(gt=null),me(gt,Tt,dt,Et,pt,jt,or,mr,Ar,ei,qr)):(a&&St===\"odd\"&&(gt=null),me(gt,Ar,mr,or,jt,pt,Et,dt,Tt,ei,qr))}function mt(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<m;ei++)for(var qr=1;qr<v;qr++)jt.push(ce(St,p(Ar,qr-1,ei-1),p(Ar,qr-1,ei),p(Ar,qr,ei-1),p(Ar,qr,ei),dt,Et,(Ar+qr+ei)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function Ht(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<d;ei++)for(var qr=1;qr<m;qr++)jt.push(ce(St,p(ei-1,Ar,qr-1),p(ei,Ar,qr-1),p(ei-1,Ar,qr),p(ei,Ar,qr),dt,Et,(ei+Ar+qr)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function at(St,Tt,dt,Et,pt){for(var jt=[],or=0,mr=0;mr<Tt.length;mr++)for(var Ar=Tt[mr],ei=1;ei<v;ei++)for(var qr=1;qr<d;qr++)jt.push(ce(St,p(qr-1,ei-1,Ar),p(qr-1,ei,Ar),p(qr,ei-1,Ar),p(qr,ei,Ar),dt,Et,(qr+ei+Ar)%2,pt&&pt[or]?pt[or]:[])),or++;return jt}function ct(St,Tt,dt){for(var Et=1;Et<m;Et++)for(var pt=1;pt<v;pt++)for(var jt=1;jt<d;jt++)lt(St,p(jt-1,pt-1,Et-1),p(jt-1,pt-1,Et),p(jt-1,pt,Et-1),p(jt-1,pt,Et),p(jt,pt-1,Et-1),p(jt,pt-1,Et),p(jt,pt,Et-1),p(jt,pt,Et),Tt,dt,(jt+pt+Et)%2)}function ar(St,Tt,dt){o=!0,ct(St,Tt,dt),o=!1}function Vt(St,Tt,dt){a=!0,ct(St,Tt,dt),a=!1}function rr(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<m;qr++)for(var jr=1;jr<v;jr++)or.push(He(St,ei,jr,qr,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function tt(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<d;qr++)for(var jr=1;jr<m;jr++)or.push(He(St,qr,ei,jr,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function je(St,Tt,dt,Et,pt,jt){for(var or=[],mr=0,Ar=0;Ar<Tt.length;Ar++)for(var ei=Tt[Ar],qr=1;qr<v;qr++)for(var jr=1;jr<d;jr++)or.push(He(St,jr,qr,ei,dt,Et,pt[Ar],jt&&jt[mr]?jt[mr]:[])),mr++;return or}function Ue(St,Tt){for(var dt=[],Et=St;Et<Tt;Et++)dt.push(Et);return dt}function Ae(){for(var St=0;St<d;St++)for(var Tt=0;Tt<v;Tt++)for(var dt=0;dt<m;dt++){var Et=p(St,Tt,dt);q(e._x[Et],e._y[Et],e._z[Et],e._value[Et])}}function rt(){z(),Ae();var St=null;if(r&&i&&(N(i),ar(St,T,L)),t&&n){N(n);for(var Tt=e.surface.pattern,dt=e.surface.count,Et=0;Et<dt;Et++){var pt=dt===1?.5:Et/(dt-1),jt=(1-pt)*T+pt*L,or=Math.abs(jt-k),mr=Math.abs(jt-M),Ar=or>mr?[k,jt]:[jt,M];Vt(Tt,Ar[0],Ar[1])}}var ei=[[Math.min(T,M),Math.max(T,M)],[Math.min(k,L),Math.max(k,L)]];[\"x\",\"y\",\"z\"].forEach(function(qr){for(var jr=[],gt=0;gt<ei.length;gt++){var Ge=0,Je=ei[gt][0],We=ei[gt][1],et=e.slices[qr];if(et.show&&et.fill){N(et.fill);var xt=[],At=[],Kt=[];if(et.locations.length)for(var Qt=0;Qt<et.locations.length;Qt++){var Mr=fk(et.locations[Qt],qr===\"x\"?c:qr===\"y\"?f:h);Mr.distRatio===0?xt.push(Mr.id):Mr.id>0&&(At.push(Mr.id),qr===\"x\"?Kt.push([Mr.distRatio,0,0]):qr===\"y\"?Kt.push([0,Mr.distRatio,0]):Kt.push([0,0,Mr.distRatio]))}else qr===\"x\"?xt=Ue(1,d-1):qr===\"y\"?xt=Ue(1,v-1):xt=Ue(1,m-1);At.length>0&&(qr===\"x\"?jr[Ge]=rr(St,At,Je,We,Kt,jr[Ge]):qr===\"y\"?jr[Ge]=tt(St,At,Je,We,Kt,jr[Ge]):jr[Ge]=je(St,At,Je,We,Kt,jr[Ge]),Ge++),xt.length>0&&(qr===\"x\"?jr[Ge]=mt(St,xt,Je,We,jr[Ge]):qr===\"y\"?jr[Ge]=Ht(St,xt,Je,We,jr[Ge]):jr[Ge]=at(St,xt,Je,We,jr[Ge]),Ge++)}var Gr=e.caps[qr];Gr.show&&Gr.fill&&(N(Gr.fill),qr===\"x\"?jr[Ge]=mt(St,[0,d-1],Je,We,jr[Ge]):qr===\"y\"?jr[Ge]=Ht(St,[0,v-1],Je,We,jr[Ge]):jr[Ge]=at(St,[0,m-1],Je,We,jr[Ge]),Ge++)}}),s===0&&z(),e._meshX=x,e._meshY=C,e._meshZ=S,e._meshIntensity=g,e._Xs=c,e._Ys=f,e._Zs=h}return rt(),e}function yDt(e,t){var r=e.glplot.gl,n=hDt({gl:r}),i=new P8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}R8e.exports={findNearestOnAxis:fk,generateIsoMeshes:I8e,createIsosurfaceTrace:yDt}});var F8e=ye((mmr,D8e)=>{\"use strict\";D8e.exports={attributes:pF(),supplyDefaults:aZ().supplyDefaults,calc:lZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:yF().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:ux(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var q8e=ye((ymr,z8e)=>{\"use strict\";z8e.exports=F8e()});var fZ=ye((_mr,B8e)=>{\"use strict\";var _Dt=Tu(),xh=pF(),xDt=lk(),O8e=Vl(),cZ=Ao().extendFlat,bDt=mc().overrideAll,_F=B8e.exports=bDt(cZ({x:xh.x,y:xh.y,z:xh.z,value:xh.value,isomin:xh.isomin,isomax:xh.isomax,surface:xh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:xh.slices,caps:xh.caps,text:xh.text,hovertext:xh.hovertext,xhoverformat:xh.xhoverformat,yhoverformat:xh.yhoverformat,zhoverformat:xh.zhoverformat,valuehoverformat:xh.valuehoverformat,hovertemplate:xh.hovertemplate,hovertemplatefallback:xh.hovertemplatefallback},_Dt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:xh.colorbar,opacity:xh.opacity,opacityscale:xDt.opacityscale,lightposition:xh.lightposition,lighting:xh.lighting,flatshading:xh.flatshading,contour:xh.contour,hoverinfo:cZ({},O8e.hoverinfo),showlegend:cZ({},O8e.showlegend,{dflt:!1})}),\"calc\",\"nested\");_F.x.editType=_F.y.editType=_F.z.editType=_F.value.editType=\"calc+clearAxisTypes\"});var U8e=ye((xmr,N8e)=>{\"use strict\";var wDt=Pr(),TDt=fZ(),ADt=aZ().supplyIsoDefaults,SDt=QX().opacityscaleDefaults;N8e.exports=function(t,r,n,i){function a(o,s){return wDt.coerce(t,r,TDt,o,s)}ADt(t,r,n,i,a),SDt(t,r,i,a)}});var j8e=ye((bmr,H8e)=>{\"use strict\";var MDt=qd().gl_mesh3d,EDt=o1().parseColorScale,kDt=Pr().isArrayOrTypedArray,CDt=a1(),LDt=tc().extractOpts,V8e=r5(),hZ=yF().findNearestOnAxis,PDt=yF().generateIsoMeshes;function G8e(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var dZ=G8e.prototype;dZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=hZ(r,this.data._Xs).id,l=hZ(n,this.data._Ys).id,u=hZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return kDt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};dZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=PDt(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=V8e(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=V8e(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:CDt(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=LDt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=EDt(e),this.mesh.update(o)};dZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function IDt(e,t){var r=e.glplot.gl,n=MDt({gl:r}),i=new G8e(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}H8e.exports=IDt});var X8e=ye((wmr,W8e)=>{\"use strict\";W8e.exports={attributes:fZ(),supplyDefaults:U8e(),calc:lZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:j8e(),moduleType:\"trace\",name:\"volume\",basePlotModule:ux(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var Y8e=ye((Tmr,Z8e)=>{\"use strict\";Z8e.exports=X8e()});var $8e=ye((Amr,J8e)=>{\"use strict\";var RDt=Oa(),K8e=Pr(),DDt=td(),FDt=e5();J8e.exports=function(t,r,n,i){function a(c,f){return K8e.coerce(t,r,FDt,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&K8e.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var 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Ie=2-n(xe)/G(2*M/3);return[ve*G(6*M)/(2*Ie),v(xe)*q((4-Ie*Ie)/3)]};function An(){return t.geoProjection(Fn).scale(165.664)}function Hn(ve,xe){var Ie=G(M*(4+M));return[2/Ie*ve*(1+G(1-4*xe*xe/(M*M))),4/Ie*xe]}Hn.invert=function(ve,xe){var Ie=G(M*(4+M))/2;return[ve*Ie/(1+G(1-xe*xe*(4+M)/(4*M))),xe*Ie/2]};function Qn(){return t.geoProjection(Hn).scale(180.739)}function Vi(ve,xe){var Ie=(2+T)*m(xe);xe/=2;for(var ze=0,Qe=1/0;ze<10&&n(Qe)>p;ze++){var Xe=o(xe);xe-=Qe=(xe+m(xe)*(Xe+2)-Ie)/(2*Xe*(1+Xe))}return[2/G(M*(4+M))*ve*(1+o(xe)),2*G(M/(4+M))*m(xe)]}Vi.invert=function(ve,xe){var Ie=xe*G((4+M)/M)/2,ze=q(Ie),Qe=o(ze);return[ve/(2/G(M*(4+M))*(1+Qe)),q((ze+Ie*(Qe+2))/(2+T))]};function Jn(){return t.geoProjection(Vi).scale(180.739)}function Yn(ve,xe){return[ve*(1+o(xe))/G(2+M),2*xe/G(2+M)]}Yn.invert=function(ve,xe){var Ie=G(2+M),ze=xe*Ie/2;return[Ie*ve/(1+o(ze)),ze]};function Gt(){return t.geoProjection(Yn).scale(173.044)}function wt(ve,xe){for(var 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t.geoProjection(vo).scale(153.93)}var Ct=da(5/6*M,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Sr(){return t.geoProjection(Ct).scale(130.945)}function Jr(ve,xe){var Ie=ve*ve,ze=xe*xe;return[ve*(1-.162388*ze)*(.87-952426e-9*Ie*Ie),xe*(1+ze/12)]}Jr.invert=function(ve,xe){var Ie=ve,ze=xe,Qe=50,Xe;do{var nt=ze*ze;ze-=Xe=(ze*(1+nt/12)-xe)/(1+nt/4)}while(n(Xe)>p&&--Qe>0);Qe=50,ve/=1-.162388*nt;do{var qt=(qt=Ie*Ie)*qt;Ie-=Xe=(Ie*(.87-952426e-9*qt)-ve)/(.87-.00476213*qt)}while(n(Xe)>p&&--Qe>0);return[Ie,ze]};function hi(){return t.geoProjection(Jr).scale(131.747)}var hn=da(2.6516,-.76534,.19123,-.047094,1.36289,-.13965,.031762);function Sn(){return t.geoProjection(hn).scale(131.087)}function En(ve){var xe=ve(T,0)[0]-ve(-T,0)[0];function Ie(ze,Qe){var Xe=ze>0?-.5:.5,nt=ve(ze+Xe*M,Qe);return nt[0]-=Xe*xe,nt}return ve.invert&&(Ie.invert=function(ze,Qe){var Xe=ze>0?-.5:.5,nt=ve.invert(ze+Xe*xe,Qe),qt=nt[0]-Xe*M;return qt<-M?qt+=2*M:qt>M&&(qt-=2*M),nt[0]=qt,nt}),Ie}function ki(ve,xe){var Ie=v(ve),ze=v(xe),Qe=o(xe),Xe=o(ve)*Qe,nt=m(ve)*Qe,qt=m(ze*xe);ve=n(a(nt,qt)),xe=q(Xe),n(ve-T)>p&&(ve%=T);var Wt=_n(ve>M/4?T-ve:ve,xe);return ve>M/4&&(qt=Wt[0],Wt[0]=-Wt[1],Wt[1]=-qt),Wt[0]*=Ie,Wt[1]*=-ze,Wt}ki.invert=function(ve,xe){n(ve)>1&&(ve=v(ve)*2-ve),n(xe)>1&&(xe=v(xe)*2-xe);var Ie=v(ve),ze=v(xe),Qe=-Ie*ve,Xe=-ze*xe,nt=Xe/Qe<1,qt=ya(nt?Xe:Qe,nt?Qe:Xe),Wt=qt[0],nr=qt[1],fr=o(nr);return nt&&(Wt=-T-Wt),[Ie*(a(m(Wt)*fr,-m(nr))+M),ze*q(o(Wt)*fr)]};function _n(ve,xe){if(xe===T)return[0,0];var Ie=m(xe),ze=Ie*Ie,Qe=ze*ze,Xe=1+Qe,nt=1+3*Qe,qt=1-Qe,Wt=q(1/G(Xe)),nr=qt+ze*Xe*Wt,fr=(1-Ie)/nr,br=G(fr),Fr=fr*Xe,Hr=G(Fr),ri=br*qt,Ci,cn;if(ve===0)return[0,-(ri+ze*Hr)];var sn=o(xe),Ln=1/sn,Kn=2*Ie*sn,Aa=(-3*ze+Wt*nt)*Kn,fa=(-nr*sn-(1-Ie)*Aa)/(nr*nr),$a=.5*fa/br,Co=qt*$a-2*ze*br*Kn,Qa=ze*Xe*fa+fr*nt*Kn,mo=-Ln*Kn,Bo=-Ln*Qa,Ps=-2*Ln*Co,Ts=4*ve/M,wo;if(ve>.222*M||xe<M/4&&ve>.175*M){if(Ci=(ri+ze*G(Fr*(1+Qe)-ri*ri))/(1+Qe),ve>M/4)return[Ci,Ci];var To=Ci,hl=.5*Ci;Ci=.5*(hl+To),cn=50;do{var 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ve?(ze=_o(ve,Ie),xe?(Qe=_o(xe,1-Ie),Xe=Qe[1]*Qe[1]+Ie*ze[0]*ze[0]*Qe[0]*Qe[0],[[ze[0]*Qe[2]/Xe,ze[1]*ze[2]*Qe[0]*Qe[1]/Xe],[ze[1]*Qe[1]/Xe,-ze[0]*ze[2]*Qe[0]*Qe[2]/Xe],[ze[2]*Qe[1]*Qe[2]/Xe,-Ie*ze[0]*ze[1]*Qe[0]/Xe]]):[[ze[0],0],[ze[1],0],[ze[2],0]]):(Qe=_o(xe,1-Ie),[[0,Qe[0]/Qe[1]],[1/Qe[1],0],[Qe[2]/Qe[1],0]])}function _o(ve,xe){var Ie,ze,Qe,Xe,nt;if(xe<p)return Xe=m(ve),ze=o(ve),Ie=xe*(ve-Xe*ze)/4,[Xe-Ie*ze,ze+Ie*Xe,1-xe*Xe*Xe/2,ve-Ie];if(xe>=1-p)return Ie=(1-xe)/4,ze=N(ve),Xe=Z(ve),Qe=1/ze,nt=ze*j(ve),[Xe+Ie*(nt-ve)/(ze*ze),Qe-Ie*Xe*Qe*(nt-ve),Qe+Ie*Xe*Qe*(nt+ve),2*i(s(ve))-T+Ie*(nt-ve)/ze];var qt=[1,0,0,0,0,0,0,0,0],Wt=[G(xe),0,0,0,0,0,0,0,0],nr=0;for(ze=G(1-xe),nt=1;n(Wt[nr]/qt[nr])>p&&nr<8;)Ie=qt[nr++],Wt[nr]=(Ie-ze)/2,qt[nr]=(Ie+ze)/2,ze=G(Ie*ze),nt*=2;Qe=nt*qt[nr]*ve;do Xe=Wt[nr]*m(ze=Qe)/qt[nr],Qe=(q(Xe)+Qe)/2;while(--nr);return[m(Qe),Xe=o(Qe),Xe/o(Qe-ze),Qe]}function No(ve,xe,Ie){var ze=n(ve),Qe=n(xe),Xe=j(Qe);if(ze){var nt=1/m(ze),qt=1/(b(ze)*b(ze)),Wt=-(qt+Ie*(Xe*Xe*nt*nt)-1+Ie),nr=(Ie-1)*qt,fr=(-Wt+G(Wt*Wt-4*nr))/2;return[po(i(1/G(fr)),Ie)*v(ve),po(i(G((fr/qt-1)/Ie)),1-Ie)*v(xe)]}return[0,po(i(Xe),1-Ie)*v(xe)]}function po(ve,xe){if(!xe)return ve;if(xe===1)return u(b(ve/2+L));for(var Ie=1,ze=G(1-xe),Qe=G(xe),Xe=0;n(Qe)>p;Xe++){if(ve%M){var nt=i(ze*b(ve)/Ie);nt<0&&(nt+=M),ve+=nt+~~(ve/M)*M}else ve+=ve;Qe=(Ie+ze)/2,ze=G(Ie*ze),Qe=((Ie=Qe)-ze)/2}return ve/(h(2,Xe)*Ie)}function Lo(ve,xe){var Ie=(C-1)/(C+1),ze=G(1-Ie*Ie),Qe=po(T,ze*ze),Xe=-1,nt=u(b(M/4+n(xe)/2)),qt=s(Xe*nt)/G(Ie),Wt=ko(qt*o(Xe*ve),qt*m(Xe*ve)),nr=No(Wt[0],Wt[1],ze*ze);return[-nr[1],(xe>=0?1:-1)*(.5*Qe-nr[0])]}function ko(ve,xe){var Ie=ve*ve,ze=xe+1,Qe=1-Ie-xe*xe;return[.5*((ve>=0?T:-T)-a(Qe,2*ve)),-.25*u(Qe*Qe+4*Ie)+.5*u(ze*ze+Ie)]}function Ds(ve,xe){var Ie=xe[0]*xe[0]+xe[1]*xe[1];return[(ve[0]*xe[0]+ve[1]*xe[1])/Ie,(ve[1]*xe[0]-ve[0]*xe[1])/Ie]}Lo.invert=function(ve,xe){var Ie=(C-1)/(C+1),ze=G(1-Ie*Ie),Qe=po(T,ze*ze),Xe=-1,nt=Ma(.5*Qe-xe,-ve,ze*ze),qt=Ds(nt[0],nt[1]),Wt=a(qt[1],qt[0])/Xe;return[Wt,2*i(s(.5/Xe*u(Ie*qt[0]*qt[0]+Ie*qt[1]*qt[1])))-T]};function Fs(){return t.geoProjection(En(Lo)).scale(151.496)}function ll(ve){var xe=m(ve),Ie=o(ve),ze=ul(ve);ze.invert=ul(-ve);function Qe(Xe,nt){var qt=ze(Xe,nt);Xe=qt[0],nt=qt[1];var Wt=m(nt),nr=o(nt),fr=o(Xe),br=V(xe*Wt+Ie*nr*fr),Fr=m(br),Hr=n(Fr)>p?br/Fr:1;return[Hr*Ie*m(Xe),(n(Xe)>T?Hr:-Hr)*(xe*nr-Ie*Wt*fr)]}return Qe.invert=function(Xe,nt){var qt=G(Xe*Xe+nt*nt),Wt=-m(qt),nr=o(qt),fr=qt*nr,br=-nt*Wt,Fr=qt*xe,Hr=G(fr*fr+br*br-Fr*Fr),ri=a(fr*Fr+br*Hr,br*Fr-fr*Hr),Ci=(qt>T?-1:1)*a(Xe*Wt,qt*o(ri)*nr+nt*m(ri)*Wt);return ze.invert(Ci,ri)},Qe}function ul(ve){var xe=m(ve),Ie=o(ve);return function(ze,Qe){var Xe=o(Qe),nt=o(ze)*Xe,qt=m(ze)*Xe,Wt=m(Qe);return[a(qt,nt*Ie-Wt*xe),q(Wt*Ie+nt*xe)]}}function Fl(){var ve=0,xe=t.geoProjectionMutator(ll),Ie=xe(ve),ze=Ie.rotate,Qe=Ie.stream,Xe=t.geoCircle();return Ie.parallel=function(nt){if(!arguments.length)return ve*P;var qt=Ie.rotate();return xe(ve=nt*E).rotate(qt)},Ie.rotate=function(nt){return arguments.length?(ze.call(Ie,[nt[0],nt[1]-ve*P]),Xe.center([-nt[0],-nt[1]]),Ie):(nt=ze.call(Ie),nt[1]+=ve*P,nt)},Ie.stream=function(nt){return nt=Qe(nt),nt.sphere=function(){nt.polygonStart();var qt=.01,Wt=Xe.radius(90-qt)().coordinates[0],nr=Wt.length-1,fr=-1,br;for(nt.lineStart();++fr<nr;)nt.point((br=Wt[fr])[0],br[1]);for(nt.lineEnd(),Wt=Xe.radius(90+qt)().coordinates[0],nr=Wt.length-1,nt.lineStart();--fr>=0;)nt.point((br=Wt[fr])[0],br[1]);nt.lineEnd(),nt.polygonEnd()},nt},Ie.scale(79.4187).parallel(45).clipAngle(180-.001)}var us=3,rl=q(1-1/us)*P,As=Yr(0);function cl(ve){var xe=rl*E,Ie=xt(M,xe)[0]-xt(-M,xe)[0],ze=As(0,xe)[1],Qe=xt(0,xe)[1],Xe=S-Qe,nt=g/ve,qt=4/g,Wt=ze+Xe*Xe*4/g;function nr(fr,br){var Fr,Hr=n(br);if(Hr>xe){var 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JDe=ye((syr,KDe)=>{\"use strict\";var nd=Fa(),jZ=Pr(),s7t=Oa(),a5=Math.PI/180,nw=180/Math.PI,XZ={cursor:\"pointer\"},ZZ={cursor:\"auto\"};function l7t(e,t){var r=e.projection,n;return t._isScoped?n=u7t:t._isClipped?n=f7t:n=c7t,n(e,r)}KDe.exports=l7t;function YZ(e,t){return nd.behavior.zoom().translate(t.translate()).scale(t.scale())}function KZ(e,t,r){var n=e.id,i=e.graphDiv,a=i.layout,o=a[n],s=i._fullLayout,l=s[n],u={},c={};function f(h,d){u[n+\".\"+h]=jZ.nestedProperty(o,h).get(),s7t.call(\"_storeDirectGUIEdit\",a,s._preGUI,u);var v=jZ.nestedProperty(l,h);v.get()!==d&&(v.set(d),jZ.nestedProperty(o,h).set(d),c[n+\".\"+h]=d)}r(f),f(\"projection.scale\",t.scale()/e.fitScale),f(\"fitbounds\",!1),i.emit(\"plotly_relayout\",c)}function u7t(e,t){var r=YZ(e,t);function n(){nd.select(this).style(XZ)}function i(){t.scale(nd.event.scale).translate(nd.event.translate),e.render(!0);var 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a=t[this.id],o=[],s=!1;for(var l in hp.layerNameToAdjective)if(l!==\"frame\"&&a[\"show\"+l]){s=!0;break}for(var u=!1,c=0;c<e.length;c++){var f=e[0][0].trace;f._geo=i,f.locationmode&&(s=!0);var h=f.marker;if(h){var d=h.angle,v=h.angleref;(d||v===\"north\"||v===\"previous\")&&(u=!0)}}if(this._hasMarkerAngles=u,s){var m=rFe.getTopojsonName(a);(i.topojson===null||m!==i.topojsonName)&&(i.topojsonName=m,PlotlyGeoAssets.topojson[i.topojsonName]===void 0&&o.push(i.fetchTopojson()))}o=o.concat(tFe.fetchTraceGeoData(e)),r.push(new Promise(function(b,p){Promise.all(o).then(function(){i.topojson=PlotlyGeoAssets.topojson[i.topojsonName],i.update(e,t),b()}).catch(p)}))};tm.fetchTopojson=function(){var e=this,t=rFe.getTopojsonPath(e.topojsonURL,e.topojsonName);return new Promise(function(r,n){u1.json(t,function(i,a){if(i)return i.status===404?n(new Error([\"plotly.js could not find topojson file at\",t+\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):n(new 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fFe=ye((cyr,cFe)=>{\"use strict\";var VF=Pr(),B7t=O_(),N7t=Id().getSubplotData,{unwrapLonRange:U7t}=ey(),GF=hk(),V7t=eY(),uFe=GF.axesNames;cFe.exports=function(t,r,n){B7t(t,r,n,{type:\"geo\",attributes:V7t,handleDefaults:G7t,fullData:n,partition:\"y\"})};function G7t(e,t,r,n){var i=N7t(n.fullData,\"geo\",n.id),a=i.map(function(ae){return ae.index}),o=r(\"resolution\"),s=r(\"scope\"),l=GF.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!GF.lonaxisSpan[u];if(e.visible===!1){var m=VF.extendDeep({},t._template);m.showcoastlines=!1,m.showcountries=!1,m.showframe=!1,m.showlakes=!1,m.showland=!1,m.showocean=!1,m.showrivers=!1,m.showsubunits=!1,m.lonaxis&&(m.lonaxis.showgrid=!1),m.lataxis&&(m.lataxis.showgrid=!1),t._template=m}for(var b=r(\"visible\"),p,k=0;k<uFe.length;k++){var M=uFe[k],T=[30,10][k],L;if(f)L=l[M+\"Range\"];else{var x=GF[M+\"Span\"],C=(x[u]||x[\"*\"])/2,S=r(\"projection.rotation.\"+M.slice(0,3),l.projRotate[k]);L=[S-C,S+C]}var g=r(M+\".range\",L);r(M+\".tick0\"),r(M+\".dtick\",T),p=r(M+\".showgrid\",b?void 0:!1),p&&(r(M+\".gridcolor\"),r(M+\".gridwidth\"),r(M+\".griddash\")),t[M]._ax={type:\"linear\",_id:M.slice(0,3),_traceIndices:a,setScale:VF.identity,c2l:VF.identity,r2l:VF.identity,autorange:!0,range:g.slice(),_m:1,_input:{}}}var P=t.lonaxis.range,E=t.lataxis.range;let[z,q]=U7t(P);var V=(z+q)/2,G;if(!c){var Z=f?l.projRotate:[V,0,0];G=r(\"projection.rotation.lon\",Z[0]),r(\"projection.rotation.lat\",Z[1]),r(\"projection.rotation.roll\",Z[2]),p=r(\"showcoastlines\",!f&&b),p&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),p=r(\"showocean\",b?void 0:!1),p&&r(\"oceancolor\")}var j,N;if(c?(j=-96.6,N=38.7):(j=f?V:G,N=(E[0]+E[1])/2),r(\"center.lon\",j),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var 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wqt=Pze(),Tqt=lM(),Aqt=Bze(),Sqt=cY(),Mqt=Gze(),hY=document.createElement(\"canvas\"),dp=hY.getContext(\"2d\");Hze.exports=Eqt;function Eqt(e,t){if(!Sqt(e))throw Error(\"Argument should be valid svg path string\");t||(t={});var r,n;t.shape?(r=t.shape[0],n=t.shape[1]):(r=hY.width=t.w||t.width||200,n=hY.height=t.h||t.height||200);var i=Math.min(r,n),a=t.stroke||0,o=t.viewbox||t.viewBox||wqt(e),s=[r/(o[2]-o[0]),n/(o[3]-o[1])],l=Math.min(s[0]||0,s[1]||0)/2;if(dp.fillStyle=\"black\",dp.fillRect(0,0,r,n),dp.fillStyle=\"white\",a&&(typeof a!=\"number\"&&(a=1),a>0?dp.strokeStyle=\"white\":dp.strokeStyle=\"black\",dp.lineWidth=Math.abs(a)),dp.translate(r*.5,n*.5),dp.scale(l,l),kqt()){var u=new Path2D(e);dp.fill(u),a&&dp.stroke(u)}else{var c=Tqt(e);Aqt(dp,c),dp.fill(),a&&dp.stroke()}dp.setTransform(1,0,0,1,0,0);var f=Mqt(dp,{cutoff:t.cutoff!=null?t.cutoff:.5,radius:t.radius!=null?t.radius:i*.5});return f}var rz;function kqt(){if(rz!=null)return rz;var e=document.createElement(\"canvas\").getContext(\"2d\");if(e.canvas.width=e.canvas.height=1,!window.Path2D)return rz=!1;var t=new Path2D(\"M0,0h1v1h-1v-1Z\");e.fillStyle=\"black\",e.fill(t);var r=e.getImageData(0,0,1,1);return rz=r&&r.data&&r.data[3]===255}});var cw=ye((Zyr,r7e)=>{\"use strict\";var nz=Eo(),Cqt=jze(),iz=lx(),Lqt=Oa(),d5=Pr(),bh=d5.isArrayOrTypedArray,f5=So(),Wze=df(),Xze=o1().formatColor,h5=Ru(),Pqt=U3(),vY=KF(),Tk=gx(),Iqt=Z1().DESELECTDIM,Zze={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},Rqt=ip().appendArrayPointValue;function Dqt(e,t){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=e._context.plotGlPixelRatio;if(t.visible!==!0)return n;if(h5.hasText(t)&&(n.text=t7e(e,t),n.textSel=Kze(e,t,t.selected),n.textUnsel=Kze(e,t,t.unselected)),h5.hasMarkers(t)&&(n.marker=gY(e,t),n.markerSel=pY(e,t,t.selected),n.markerUnsel=pY(e,t,t.unselected),!t.unselected&&bh(t.marker.opacity))){var a=t.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=Iqt*a[r]}if(h5.hasLines(t)){n.line={overlay:!0,thickness:t.line.width*i,color:t.line.color,opacity:t.opacity};var o=(Tk.DASHES[t.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=t.line.width*i;n.line.dashes=o}return t.error_x&&t.error_x.visible&&(n.errorX=Jze(t,t.error_x,i)),t.error_y&&t.error_y.visible&&(n.errorY=Jze(t,t.error_y,i)),t.fill&&t.fill!==\"none\"&&(n.fill={closed:!0,fill:t.fillcolor,thickness:0}),n}function t7e(e,t){var r=e._fullLayout,n=t._length,i=t.textfont,a=t.textposition,o=bh(a)?a:[a],s=i.color,l=i.size,u=i.family,c=i.weight,f=i.style,h=i.variant,d={},v,m=e._context.plotGlPixelRatio,b=t.texttemplate;if(b){d.text=[];var p=r._d3locale,k=Array.isArray(b),M=k?Math.min(b.length,n):n,T=k?function(P){return b[P]}:function(){return b};for(v=0;v<M;v++){var L={i:v},x=t._module.formatLabels(L,t,r),C={};Rqt(C,t,v),d.text.push(d5.texttemplateString({data:[C,L,t._meta],fallback:t.texttemplatefallback,labels:x,locale:p,template:T(v)}))}}else bh(t.text)&&t.text.length<n?d.text=t.text.slice():d.text=t.text;if(bh(d.text))for(v=d.text.length;v<n;v++)d.text[v]=\"\";for(d.opacity=t.opacity,d.font={},d.align=[],d.baseline=[],v=0;v<o.length;v++){var S=o[v].split(/\\s+/);switch(S[1]){case\"left\":d.align.push(\"right\");break;case\"right\":d.align.push(\"left\");break;default:d.align.push(S[1])}switch(S[0]){case\"top\":d.baseline.push(\"bottom\");break;case\"bottom\":d.baseline.push(\"top\");break;default:d.baseline.push(S[0])}}if(bh(s))for(d.color=new Array(n),v=0;v<n;v++)d.color[v]=s[v];else d.color=s;if(bh(l)||Array.isArray(u)||bh(c)||Array.isArray(f)||Array.isArray(h))for(d.font=new Array(n),v=0;v<n;v++){var g=d.font[v]={};g.size=(d5.isTypedArray(l)?l[v]:bh(l)?nz(l[v])?l[v]:0:l)*m,g.family=Array.isArray(u)?u[v]:u,g.weight=Yze(bh(c)?c[v]:c),g.style=Array.isArray(f)?f[v]:f,g.variant=Array.isArray(h)?h[v]:h}else d.font={size:l*m,family:u,weight:Yze(c),style:f,variant:h};return d}function Yze(e){return e<=1e3?e>500?\"bold\":\"normal\":e}function gY(e,t){var r=t._length,n=t.marker,i={},a,o=bh(n.symbol),s=bh(n.angle),l=bh(n.color),u=bh(n.line.color),c=bh(n.opacity),f=bh(n.size),h=bh(n.line.width),d;if(o||(d=vY.isOpenSymbol(n.symbol)),o||l||u||c||s){i.symbols=new Array(r),i.angles=new Array(r),i.colors=new Array(r),i.borderColors=new Array(r);var v=n.symbol,m=n.angle,b=Xze(n,n.opacity,r),p=Xze(n.line,n.opacity,r);if(!bh(p[0])){var k=p;for(p=Array(r),a=0;a<r;a++)p[a]=k}if(!bh(b[0])){var M=b;for(b=Array(r),a=0;a<r;a++)b[a]=M}if(!bh(v)){var T=v;for(v=Array(r),a=0;a<r;a++)v[a]=T}if(!bh(m)){var L=m;for(m=Array(r),a=0;a<r;a++)m[a]=L}for(i.symbols=v,i.angles=m,i.colors=b,i.borderColors=p,a=0;a<r;a++)o&&(d=vY.isOpenSymbol(n.symbol[a])),d&&(p[a]=b[a].slice(),b[a]=b[a].slice(),b[a][3]=0);for(i.opacity=t.opacity,i.markers=new Array(r),a=0;a<r;a++)i.markers[a]=e7e({mx:i.symbols[a],ma:i.angles[a]},t)}else d?(i.color=iz(n.color,\"uint8\"),i.color[3]=0,i.borderColor=iz(n.color,\"uint8\")):(i.color=iz(n.color,\"uint8\"),i.borderColor=iz(n.line.color,\"uint8\")),i.opacity=t.opacity*n.opacity,i.marker=e7e({mx:n.symbol,ma:n.angle},t);var x=1,C=Pqt(t,x),S;if(f||h){var g=i.sizes=new Array(r),P=i.borderSizes=new Array(r),E=0,z;if(f){for(a=0;a<r;a++)g[a]=C(n.size[a]),E+=g[a];z=E/r}else for(S=C(n.size),a=0;a<r;a++)g[a]=S;if(h)for(a=0;a<r;a++)P[a]=n.line.width[a];else for(S=n.line.width,a=0;a<r;a++)P[a]=S;i.sizeAvg=z}else i.size=C(n&&n.size||10),i.borderSizes=C(n.line.width);return i}function pY(e,t,r){var n=t.marker,i={};return r&&(r.marker&&r.marker.symbol?i=gY(e,d5.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),r.marker.opacity!==void 0&&(i.opacity=r.marker.opacity))),i}function Kze(e,t,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:t.text,texttemplate:t.texttemplate,textposition:t.textposition,textfont:d5.extendFlat({},t.textfont)};r.textfont&&d5.extendFlat(i.textfont,r.textfont),n=t7e(e,i)}return n}function Jze(e,t,r){var n={capSize:t.width*2*r,lineWidth:t.thickness*r,color:t.color};return t.copy_ystyle&&(n=e.error_y),n}var $ze=Tk.SYMBOL_SDF_SIZE,uw=Tk.SYMBOL_SIZE,Qze=Tk.SYMBOL_STROKE,dY={},Fqt=f5.symbolFuncs[0](uw*.05);function e7e(e,t){var r=e.mx;if(r===\"circle\")return null;var n,i,a=f5.symbolNumber(r),o=f5.symbolFuncs[a%100],s=!!f5.symbolNoDot[a%100],l=!!f5.symbolNoFill[a%100],u=vY.isDotSymbol(r);if(e.ma&&(r+=\"_\"+e.ma),dY[r])return dY[r];var c=f5.getMarkerAngle(e,t);return u&&!s?n=o(uw*1.1,c)+Fqt:n=o(uw,c),i=Cqt(n,{w:$ze,h:$ze,viewBox:[-uw,-uw,uw,uw],stroke:l?Qze:-Qze}),dY[r]=i,i||null}function zqt(e,t,r){var n=r.length,i=n/2,a,o;if(h5.hasLines(t)&&i)if(t.line.shape===\"hv\"){for(a=[],o=0;o<i-1;o++)isNaN(r[o*2])||isNaN(r[o*2+1])?a.push(NaN,NaN,NaN,NaN):(a.push(r[o*2],r[o*2+1]),!isNaN(r[o*2+2])&&!isNaN(r[o*2+3])?a.push(r[o*2+2],r[o*2+1]):a.push(NaN,NaN));a.push(r[n-2],r[n-1])}else if(t.line.shape===\"hvh\"){for(a=[],o=0;o<i-1;o++)if(isNaN(r[o*2])||isNaN(r[o*2+1])||isNaN(r[o*2+2])||isNaN(r[o*2+3]))!isNaN(r[o*2])&&!isNaN(r[o*2+1])?a.push(r[o*2],r[o*2+1]):a.push(NaN,NaN),a.push(NaN,NaN);else{var s=(r[o*2]+r[o*2+2])/2;a.push(r[o*2],r[o*2+1],s,r[o*2+1],s,r[o*2+3])}a.push(r[n-2],r[n-1])}else if(t.line.shape===\"vhv\"){for(a=[],o=0;o<i-1;o++)if(isNaN(r[o*2])||isNaN(r[o*2+1])||isNaN(r[o*2+2])||isNaN(r[o*2+3]))!isNaN(r[o*2])&&!isNaN(r[o*2+1])?a.push(r[o*2],r[o*2+1]):a.push(NaN,NaN),a.push(NaN,NaN);else{var l=(r[o*2+1]+r[o*2+3])/2;a.push(r[o*2],r[o*2+1],r[o*2],l,r[o*2+2],l)}a.push(r[n-2],r[n-1])}else if(t.line.shape===\"vh\"){for(a=[],o=0;o<i-1;o++)isNaN(r[o*2])||isNaN(r[o*2+1])?a.push(NaN,NaN,NaN,NaN):(a.push(r[o*2],r[o*2+1]),!isNaN(r[o*2+2])&&!isNaN(r[o*2+3])?a.push(r[o*2],r[o*2+3]):a.push(NaN,NaN));a.push(r[n-2],r[n-1])}else a=r;var u=!1;for(o=0;o<a.length;o++)if(isNaN(a[o])){u=!0;break}var c=u||a.length>Tk.TOO_MANY_POINTS||h5.hasMarkers(t)?\"rect\":\"round\";if(u&&t.connectgaps){var f=a[0],h=a[1];for(o=0;o<a.length;o+=2)isNaN(a[o])||isNaN(a[o+1])?(a[o]=f,a[o+1]=h):(f=a[o],h=a[o+1])}return{join:c,positions:a}}function qqt(e,t,r,n,i){var a=Lqt.getComponentMethod(\"errorbars\",\"makeComputeError\"),o=Wze.getFromId(e,t.xaxis,\"x\"),s=Wze.getFromId(e,t.yaxis,\"y\"),l=r.length/2,u={};function c(f,h){var d=h._id.charAt(0),v=t[\"error_\"+d];if(v&&v.visible&&(h.type===\"linear\"||h.type===\"log\")){for(var m=a(v),b={x:0,y:1}[d],p={x:[0,1,2,3],y:[2,3,0,1]}[d],k=new Float64Array(4*l),M=1/0,T=-1/0,L=0,x=0;L<l;L++,x+=4){var C=f[L];if(nz(C)){var S=r[L*2+b],g=m(C,L),P=g[0],E=g[1];if(nz(P)&&nz(E)){var z=C-P,q=C+E;k[x+p[0]]=S-h.c2l(z),k[x+p[1]]=h.c2l(q)-S,k[x+p[2]]=0,k[x+p[3]]=0,M=Math.min(M,C-P),T=Math.max(T,C+E)}}}u[d]={positions:r,errors:k,_bnds:[M,T]}}}return c(n,o),c(i,s),u}function Oqt(e,t,r,n){var i=t._length,a={},o;if(h5.hasMarkers(t)){var s=r.font,l=r.align,u=r.baseline;for(a.offset=new Array(i),o=0;o<i;o++){var c=n.sizes?n.sizes[o]:n.size,f=bh(s)?s[o].size:s.size,h=bh(l)?l.length>1?l[o]:l[0]:l,d=bh(u)?u.length>1?u[o]:u[0]:u,v=Zze[h],m=Zze[d],b=c?c/.8+1:0,p=-m*b-m*.5;a.offset[o]=[v*b/f,p/f]}}return a}r7e.exports={style:Dqt,markerStyle:gY,markerSelection:pY,linePositions:zqt,errorBarPositions:qqt,textPosition:Oqt}});var mY=ye((Yyr,i7e)=>{\"use strict\";var az=Pr();i7e.exports=function(t,r){var n=r._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return r._scene||(n=r._scene={},n.init=function(){az.extendFlat(n,a,i)},n.init(),n.update=function(s){var l=az.repeat(s,n.count);if(n.fill2d&&n.fill2d.update(l),n.scatter2d&&n.scatter2d.update(l),n.line2d&&n.line2d.update(l),n.error2d&&n.error2d.update(l.concat(l)),n.select2d&&n.select2d.update(l),n.glText)for(var u=0;u<n.count;u++)n.glText[u].update(s)},n.draw=function(){for(var s=n.count,l=n.fill2d,u=n.error2d,c=n.line2d,f=n.scatter2d,h=n.glText,d=n.select2d,v=n.selectBatch,m=n.unselectBatch,b=0;b<s;b++){if(l&&n.fillOrder[b]&&l.draw(n.fillOrder[b]),c&&n.lineOptions[b]&&c.draw(b),u&&(n.errorXOptions[b]&&u.draw(b),n.errorYOptions[b]&&u.draw(b+s)),f&&n.markerOptions[b])if(m[b].length){var p=az.repeat([],n.count);p[b]=m[b],f.draw(p)}else v[b].length||f.draw(b);h[b]&&n.textOptions[b]&&h[b].render()}d&&d.draw(v),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach(function(s){s.destroy&&s.destroy()}),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,r._scene=null}),n.dirty||az.extendFlat(n,i),n}});var u7e=ye((Kyr,l7e)=>{\"use strict\";var Bqt=$F(),v5=Pr(),n7e=df(),Nqt=Mg().findExtremes,a7e=zg(),yY=O0(),Uqt=yY.calcMarkerSize,Vqt=yY.calcAxisExpansion,Gqt=yY.setFirstScatter,Hqt=z0(),p5=cw(),jqt=mY(),o7e=fs().BADNUM,Wqt=gx().TOO_MANY_POINTS;l7e.exports=function(t,r){var n=t._fullLayout,i=r._xA=n7e.getFromId(t,r.xaxis,\"x\"),a=r._yA=n7e.getFromId(t,r.yaxis,\"y\"),o=n._plots[r.xaxis+r.yaxis],s=r._length,l=s>=Wqt,u=s*2,c={},f,h=i.makeCalcdata(r,\"x\"),d=a.makeCalcdata(r,\"y\"),v=a7e(r,i,\"x\",h),m=a7e(r,a,\"y\",d),b=v.vals,p=m.vals;r._x=b,r._y=p,r.xperiodalignment&&(r._origX=h,r._xStarts=v.starts,r._xEnds=v.ends),r.yperiodalignment&&(r._origY=d,r._yStarts=m.starts,r._yEnds=m.ends);var k=new Array(u),M=new Array(s);for(f=0;f<s;f++)k[f*2]=b[f]===o7e?NaN:b[f],k[f*2+1]=p[f]===o7e?NaN:p[f],M[f]=f;if(i.type===\"log\")for(f=0;f<u;f+=2)k[f]=i.c2l(k[f]);if(a.type===\"log\")for(f=1;f<u;f+=2)k[f]=a.c2l(k[f]);l&&i.type!==\"log\"&&a.type!==\"log\"?c.tree=Bqt(k):c.ids=M,Hqt(t,r);var T=Xqt(t,o,r,k,b,p),L=jqt(t,o);Gqt(n,r);var x;return l?T.marker&&(x=T.marker.sizeAvg||Math.max(T.marker.size,3)):x=Uqt(r,s),Vqt(t,r,i,a,b,p,x),T.errorX&&s7e(r,i,T.errorX),T.errorY&&s7e(r,a,T.errorY),T.fill&&!L.fill2d&&(L.fill2d=!0),T.marker&&!L.scatter2d&&(L.scatter2d=!0),T.line&&!L.line2d&&(L.line2d=!0),(T.errorX||T.errorY)&&!L.error2d&&(L.error2d=!0),T.text&&!L.glText&&(L.glText=!0),T.marker&&(T.marker.snap=s),L.lineOptions.push(T.line),L.errorXOptions.push(T.errorX),L.errorYOptions.push(T.errorY),L.fillOptions.push(T.fill),L.markerOptions.push(T.marker),L.markerSelectedOptions.push(T.markerSel),L.markerUnselectedOptions.push(T.markerUnsel),L.textOptions.push(T.text),L.textSelectedOptions.push(T.textSel),L.textUnselectedOptions.push(T.textUnsel),L.selectBatch.push([]),L.unselectBatch.push([]),c._scene=L,c.index=L.count,c.x=b,c.y=p,c.positions=k,L.count++,[{x:!1,y:!1,t:c,trace:r}]};function s7e(e,t,r){var n=e._extremes[t._id],i=Nqt(t,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}function Xqt(e,t,r,n,i,a){var o=p5.style(e,r);if(o.marker&&(o.marker.positions=n),o.line&&n.length>1&&v5.extendFlat(o.line,p5.linePositions(e,r,n)),o.errorX||o.errorY){var s=p5.errorBarPositions(e,r,n,i,a);o.errorX&&v5.extendFlat(o.errorX,s.x),o.errorY&&v5.extendFlat(o.errorY,s.y)}return o.text&&(v5.extendFlat(o.text,{positions:n},p5.textPosition(e,r,o.text,o.marker)),v5.extendFlat(o.textSel,{positions:n},p5.textPosition(e,r,o.text,o.markerSel)),v5.extendFlat(o.textUnsel,{positions:n},p5.textPosition(e,r,o.text,o.markerUnsel))),o}});var _Y=ye((Jyr,f7e)=>{\"use strict\";var c7e=Pr(),Zqt=ka(),Yqt=Z1().DESELECTDIM;function Kqt(e){var t=e[0],r=t.trace,n=t.t,i=n._scene,a=n.index,o=i.selectBatch[a],s=i.unselectBatch[a],l=i.textOptions[a],u=i.textSelectedOptions[a]||{},c=i.textUnselectedOptions[a]||{},f=c7e.extendFlat({},l),h,d;if(o.length||s.length){var v=u.color,m=c.color,b=l.color,p=c7e.isArrayOrTypedArray(b);for(f.color=new Array(r._length),h=0;h<o.length;h++)d=o[h],f.color[d]=v||(p?b[d]:b);for(h=0;h<s.length;h++){d=s[h];var k=p?b[d]:b;f.color[d]=m||(v?k:Zqt.addOpacity(k,Yqt))}}i.glText[a].update(f)}f7e.exports={styleTextSelection:Kqt}});var xY=ye(($yr,d7e)=>{\"use strict\";var h7e=Ru(),Jqt=_Y().styleTextSelection;d7e.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l=n[0].t,u=s._length,c=l.x,f=l.y,h=l._scene,d=l.index;if(!h)return o;var v=h7e.hasText(s),m=h7e.hasMarkers(s),b=!m&&!v;if(s.visible!==!0||b)return o;var p=[],k=[];if(r!==!1&&!r.degenerate)for(var M=0;M<u;M++)r.contains([l.xpx[M],l.ypx[M]],!1,M,t)?(p.push(M),o.push({pointNumber:M,x:i.c2d(c[M]),y:a.c2d(f[M])})):k.push(M);if(m){var T=h.scatter2d;if(!p.length&&!k.length){var L=new Array(h.count);L[d]=h.markerOptions[d],T.update.apply(T,L)}else if(!h.selectBatch[d].length&&!h.unselectBatch[d].length){var x=new Array(h.count);x[d]=h.markerUnselectedOptions[d],T.update.apply(T,x)}}return h.selectBatch[d]=p,h.unselectBatch[d]=k,v&&Jqt(n),o}});var p7e=ye((Qyr,v7e)=>{\"use strict\";var $qt=YF();v7e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:mh(),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:_k(),supplyDefaults:KFe(),crossTraceDefaults:vU(),colorbar:Qd(),formatLabels:$Fe(),calc:u7e(),hoverPoints:$qt.hoverPoints,selectPoints:xY(),meta:{}}});var m7e=ye((e1r,sz)=>{\"use strict\";var oz=ak();sz.exports=g7e;sz.exports.to=g7e;sz.exports.from=Qqt;function g7e(e,t){t==null&&(t=!0);var r=e[0],n=e[1],i=e[2],a=e[3];a==null&&(a=t?1:255),t&&(r*=255,n*=255,i*=255,a*=255),r=oz(r,0,255)&255,n=oz(n,0,255)&255,i=oz(i,0,255)&255,a=oz(a,0,255)&255;var o=r*16777216+(n<<16)+(i<<8)+a;return o}function Qqt(e,t){e=+e;var r=e>>>24,n=(e&16711680)>>>16,i=(e&65280)>>>8,a=e&255;return t===!1?[r,n,i,a]:[r/255,n/255,i/255,a/255]}});var Nh=ye((t1r,_7e)=>{\"use strict\";var y7e=Object.getOwnPropertySymbols,eOt=Object.prototype.hasOwnProperty,tOt=Object.prototype.propertyIsEnumerable;function rOt(e){if(e==null)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(e)}function iOt(){try{if(!Object.assign)return!1;var e=new String(\"abc\");if(e[5]=\"de\",Object.getOwnPropertyNames(e)[0]===\"5\")return!1;for(var t={},r=0;r<10;r++)t[\"_\"+String.fromCharCode(r)]=r;var n=Object.getOwnPropertyNames(t).map(function(a){return t[a]});if(n.join(\"\")!==\"0123456789\")return!1;var i={};return\"abcdefghijklmnopqrst\".split(\"\").forEach(function(a){i[a]=a}),Object.keys(Object.assign({},i)).join(\"\")===\"abcdefghijklmnopqrst\"}catch(a){return!1}}_7e.exports=iOt()?Object.assign:function(e,t){for(var r,n=rOt(e),i,a=1;a<arguments.length;a++){r=Object(arguments[a]);for(var o in r)eOt.call(r,o)&&(n[o]=r[o]);if(y7e){i=y7e(r);for(var s=0;s<i.length;s++)tOt.call(r,i[s])&&(n[i[s]]=r[i[s]])}}return n}});var b7e=ye((r1r,x7e)=>{x7e.exports=function(e){typeof e==\"string\"&&(e=[e]);for(var t=[].slice.call(arguments,1),r=[],n=0;n<e.length-1;n++)r.push(e[n],t[n]||\"\");return r.push(e[n]),r.join(\"\")}});var bY=ye((i1r,w7e)=>{\"use strict\";w7e.exports=function(t,r,n){Array.isArray(n)||(n=[].slice.call(arguments,2));for(var i=0,a=n.length;i<a;i++){var o=n[i];for(var s in o)if(!(r[s]!==void 0&&!Array.isArray(r[s])&&t[s]===r[s])&&s in r){var l;if(o[s]===!0)l=r[s];else{if(o[s]===!1)continue;if(typeof o[s]==\"function\"&&(l=o[s](r[s],t,r),l===void 0))continue}t[s]=l}}return t}});var A7e=ye((n1r,T7e)=>{\"use strict\";T7e.exports=typeof navigator!=\"undefined\"&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))});var lz=ye((a1r,g5)=>{\"use strict\";g5.exports=Ak;g5.exports.float32=g5.exports.float=Ak;g5.exports.fract32=g5.exports.fract=nOt;var S7e=new Float32Array(1);function nOt(e,t){if(e.length){if(e instanceof Float32Array)return new Float32Array(e.length);t instanceof Float32Array||(t=Ak(e));for(var r=0,n=t.length;r<n;r++)t[r]=e[r]-t[r];return t}return Ak(e-Ak(e))}function Ak(e){return e.length?e instanceof Float32Array?e:new Float32Array(e):(S7e[0]=e,S7e[0])}});var TY=ye((o1r,k7e)=>{\"use strict\";function aOt(e,t){var r=e==null?null:typeof Symbol!=\"undefined\"&&e[Symbol.iterator]||e[\"@@iterator\"];if(r!=null){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(e)).next,t===0){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==t);l=!0);}catch(c){u=!0,i=c}finally{try{if(!l&&r.return!=null&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}function oOt(e,t){return uOt(e)||aOt(e,t)||E7e(e,t)||hOt()}function sOt(e){return lOt(e)||cOt(e)||E7e(e)||fOt()}function lOt(e){if(Array.isArray(e))return wY(e)}function uOt(e){if(Array.isArray(e))return e}function cOt(e){if(typeof Symbol!=\"undefined\"&&e[Symbol.iterator]!=null||e[\"@@iterator\"]!=null)return Array.from(e)}function E7e(e,t){if(e){if(typeof e==\"string\")return wY(e,t);var r=Object.prototype.toString.call(e).slice(8,-1);if(r===\"Object\"&&e.constructor&&(r=e.constructor.name),r===\"Map\"||r===\"Set\")return Array.from(e);if(r===\"Arguments\"||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r))return wY(e,t)}}function wY(e,t){(t==null||t>e.length)&&(t=e.length);for(var r=0,n=new Array(t);r<t;r++)n[r]=e[r];return n}function fOt(){throw new TypeError(`Invalid attempt to spread non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}function hOt(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.\n",
+       "In order to be iterable, non-array objects must have a [Symbol.iterator]() method.`)}var dOt=lx(),vOt=ow(),pOt=m7e(),gOt=$F(),fw=Nh(),uz=b7e(),mOt=ry(),yOt=bY(),_Ot=sw(),M7e=A7e(),cz=lz(),xOt=c5(),bOt=av;function av(e,t){var r=this;if(!(this instanceof av))return new av(e,t);typeof e==\"function\"?(t||(t={}),t.regl=e):(t=e,e=null),t&&t.length&&(t.positions=t),e=t.regl;var n=e._gl,i,a=[],o={},s=[],l=[null],u=[null],c=255,f=100;this.tooManyColors=M7e,i=e.texture({data:new Uint8Array(c*4),width:c,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),fw(this,{regl:e,gl:n,groups:s,markerCache:u,markerTextures:l,palette:a,paletteIds:o,paletteTexture:i,maxColors:c,maxSize:f,canvas:n.canvas}),this.update(t);var h={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop(\"opacity\"),paletteSize:function(b,p){return[r.tooManyColors?0:c,i.height]},pixelRatio:e.context(\"pixelRatio\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translate:e.prop(\"translate\"),translateFract:e.prop(\"translateFract\"),markerTexture:e.prop(\"markerTexture\"),paletteTexture:i},attributes:{x:function(b,p){return p.xAttr||{buffer:p.positionBuffer,stride:8,offset:0}},y:function(b,p){return p.yAttr||{buffer:p.positionBuffer,stride:8,offset:4}},xFract:function(b,p){return p.xAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:0}},yFract:function(b,p){return p.yAttr?{constant:[0,0]}:{buffer:p.positionFractBuffer,stride:8,offset:4}},size:function(b,p){return p.size.length?{buffer:p.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(p.size*255/r.maxSize)]}},borderSize:function(b,p){return p.borderSize.length?{buffer:p.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(p.borderSize*255/r.maxSize)]}},colorId:function(b,p){return p.color.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(p.color*4,p.color*4+4):[p.color]}},borderColorId:function(b,p){return p.borderColor.length?{buffer:p.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(p.borderColor*4,p.borderColor*4+4):[p.borderColor]}},isActive:function(b,p){return p.activation===!0?{constant:[1]}:p.activation?p.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop(\"elements\"),count:e.prop(\"count\"),offset:e.prop(\"offset\"),primitive:\"points\"},d=fw({},h);d.frag=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "uniform float opacity;\n",
+       "uniform sampler2D markerTexture;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float smoothStep(float x, float y) {\n",
+       "  return 1.0 / (1.0 + exp(50.0*(x - y)));\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n",
+       "\n",
+       "  // max-distance alpha\n",
+       "  if (dist < 0.003) discard;\n",
+       "\n",
+       "  // null-border case\n",
+       "  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n",
+       "    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n",
+       "    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n",
+       "  }\n",
+       "  else {\n",
+       "    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n",
+       "    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n",
+       "\n",
+       "    vec4 color = fragBorderColor;\n",
+       "    color.a *= borderColorAmt;\n",
+       "    color = mix(color, fragColor, colorAmt);\n",
+       "    color.a *= opacity;\n",
+       "\n",
+       "    gl_FragColor = color;\n",
+       "  }\n",
+       "\n",
+       "}\n",
+       "`]),d.vert=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "const float borderLevel = .5;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = 2. * size * pointSizeScale;\n",
+       "  fragPointSize = size * pixelRatio;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "\n",
+       "  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n",
+       "  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n",
+       "}\n",
+       "`]),this.drawMarker=e(d);var v=fw({},h);v.frag=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "uniform float opacity;\n",
+       "\n",
+       "float smoothStep(float edge0, float edge1, float x) {\n",
+       "\tfloat t;\n",
+       "\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n",
+       "\treturn t * t * (3.0 - 2.0 * t);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat radius, alpha = 1.0, delta = fragWidth;\n",
+       "\n",
+       "\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n",
+       "\n",
+       "\tif (radius > 1.0 + delta) {\n",
+       "\t\tdiscard;\n",
+       "\t}\n",
+       "\n",
+       "\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n",
+       "\n",
+       "\tfloat borderRadius = fragBorderRadius;\n",
+       "\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n",
+       "\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n",
+       "\tcolor.a *= alpha * opacity;\n",
+       "\tgl_FragColor = color;\n",
+       "}\n",
+       "`]),v.vert=uz([`precision highp float;\n",
+       "#define GLSLIFY 1\n",
+       "\n",
+       "attribute float x, y, xFract, yFract;\n",
+       "attribute float size, borderSize;\n",
+       "attribute vec4 colorId, borderColorId;\n",
+       "attribute float isActive;\n",
+       "\n",
+       "// \\`invariant\\` effectively turns off optimizations for the position.\n",
+       "// We need this because -fast-math on M1 Macs is re-ordering\n",
+       "// floating point operations in a way that causes floating point\n",
+       "// precision limits to put points in the wrong locations.\n",
+       "invariant gl_Position;\n",
+       "\n",
+       "uniform bool constPointSize;\n",
+       "uniform float pixelRatio;\n",
+       "uniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\n",
+       "uniform sampler2D paletteTexture;\n",
+       "\n",
+       "const float maxSize = 100.;\n",
+       "\n",
+       "varying vec4 fragColor, fragBorderColor;\n",
+       "varying float fragBorderRadius, fragWidth;\n",
+       "\n",
+       "float pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n",
+       "\n",
+       "bool isDirect = (paletteSize.x < 1.);\n",
+       "\n",
+       "vec4 getColor(vec4 id) {\n",
+       "  return isDirect ? id / 255. : texture2D(paletteTexture,\n",
+       "    vec2(\n",
+       "      (id.x + .5) / paletteSize.x,\n",
+       "      (id.y + .5) / paletteSize.y\n",
+       "    )\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "  // ignore inactive points\n",
+       "  if (isActive == 0.) return;\n",
+       "\n",
+       "  vec2 position = vec2(x, y);\n",
+       "  vec2 positionFract = vec2(xFract, yFract);\n",
+       "\n",
+       "  vec4 color = getColor(colorId);\n",
+       "  vec4 borderColor = getColor(borderColorId);\n",
+       "\n",
+       "  float size = size * maxSize / 255.;\n",
+       "  float borderSize = borderSize * maxSize / 255.;\n",
+       "\n",
+       "  gl_PointSize = (size + borderSize) * pointSizeScale;\n",
+       "\n",
+       "  vec2 pos = (position + translate) * scale\n",
+       "      + (positionFract + translateFract) * scale\n",
+       "      + (position + translate) * scaleFract\n",
+       "      + (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n",
+       "\n",
+       "  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n",
+       "  fragColor = color;\n",
+       "  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n",
+       "  fragWidth = 1. / gl_PointSize;\n",
+       "}\n",
+       "`]),M7e&&(v.frag=v.frag.replace(\"smoothstep\",\"smoothStep\"),d.frag=d.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=e(v)}av.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4};av.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this};av.prototype.draw=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];var i=this.groups;if(r.length===1&&Array.isArray(r[0])&&(r[0][0]===null||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(o,s){e.drawItem(s)});return this};av.prototype.drawItem=function(e,t){var r=this.groups,n=r[e];if(typeof t==\"number\"&&(e=t,n=r[t],t=null),!!(n&&n.count&&n.opacity)){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,t));for(var i=[],a=1;a<n.activation.length;a++)!n.activation[a]||n.activation[a]!==!0&&!n.activation[a].data.length||i.push.apply(i,sOt(this.getMarkerDrawOptions(a,n,t)));i.length&&this.drawMarker(i)}};av.prototype.getMarkerDrawOptions=function(e,t,r){var n=t.range,i=t.tree,a=t.viewport,o=t.activation,s=t.selectionBuffer,l=t.count,u=this.regl;if(!i)return r?[fw({},t,{markerTexture:this.markerTextures[e],activation:o[e],count:r.length,elements:r,offset:0})]:[fw({},t,{markerTexture:this.markerTextures[e],activation:o[e],offset:0})];var c=[],f=i.range(n,{lod:!0,px:[(n[2]-n[0])/a.width,(n[3]-n[1])/a.height]});if(r){for(var h=o[e],d=h.data,v=new Uint8Array(l),m=0;m<r.length;m++){var b=r[m];v[b]=d?d[b]:1}s.subdata(v)}for(var p=f.length;p--;){var k=oOt(f[p],2),M=k[0],T=k[1];c.push(fw({},t,{markerTexture:this.markerTextures[e],activation:r?s:o[e],offset:M,count:T-M}))}return c};av.prototype.update=function(){for(var e=this,t=arguments.length,r=new Array(t),n=0;n<t;n++)r[n]=arguments[n];if(r.length){r.length===1&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,l=this.maxColors,u=this.palette;this.groups=i=r.map(function(c,f){var h=i[f];if(c===void 0)return h;c===null?c={positions:null}:typeof c==\"function\"?c={ondraw:c}:typeof c[0]==\"number\"&&(c={positions:c}),c=mOt(c,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"}),c.positions===null&&(c.positions=[]),c.tooManyColors!=null&&(e.tooManyColors=c.tooManyColors),h||(i[f]=h={id:f,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},c=fw({},av.defaults,c)),c.positions&&!(\"marker\"in c)&&(c.marker=h.marker,delete h.marker),c.marker&&!(\"positions\"in c)&&(c.positions=h.positions,delete h.positions);var d=0,v=0;if(yOt(h,c,[{snap:!0,size:function(j,N){return j==null&&(j=av.defaults.size),d+=j&&j.length?1:0,j},borderSize:function(j,N){return j==null&&(j=av.defaults.borderSize),d+=j&&j.length?1:0,j},opacity:parseFloat,color:function(j,N){return j==null&&(j=av.defaults.color),j=e.updateColor(j),v++,j},borderColor:function(j,N){return j==null&&(j=av.defaults.borderColor),j=e.updateColor(j),v++,j},bounds:function(j,N,H){return\"range\"in H||(H.range=null),j},positions:function(j,N,H){var re=N.snap,ae=N.positionBuffer,_e=N.positionFractBuffer,Ee=N.selectionBuffer;if(j.x||j.y)return j.x.length?N.xAttr={buffer:o.buffer(j.x),offset:0,stride:4,count:j.x.length}:N.xAttr={buffer:j.x.buffer,offset:j.x.offset*4||0,stride:(j.x.stride||1)*4,count:j.x.count},j.y.length?N.yAttr={buffer:o.buffer(j.y),offset:0,stride:4,count:j.y.length}:N.yAttr={buffer:j.y.buffer,offset:j.y.offset*4||0,stride:(j.y.stride||1)*4,count:j.y.count},N.count=Math.max(N.xAttr.count,N.yAttr.count),j;j=_Ot(j,\"float64\");var Ce=N.count=Math.floor(j.length/2),ge=N.bounds=Ce?vOt(j,2):null;if(!H.range&&!N.range&&(delete N.range,H.range=ge),!H.marker&&!N.marker&&(delete N.marker,H.marker=null),re&&(re===!0||Ce>re)?N.tree=gOt(j,{bounds:ge}):re&&re.length&&(N.tree=re),N.tree){var ie={primitive:\"points\",usage:\"static\",data:N.tree,type:\"uint32\"};N.elements?N.elements(ie):N.elements=o.elements(ie)}var Se=cz.float32(j);ae({data:Se,usage:\"dynamic\"});var ke=cz.fract32(j,Se);return _e({data:ke,usage:\"dynamic\"}),Ee({data:new Uint8Array(Ce),type:\"uint8\",usage:\"stream\"}),j}},{marker:function(j,N,H){var re=N.activation;if(re.forEach(function(ke){return ke&&ke.destroy&&ke.destroy()}),re.length=0,!j||typeof j[0]==\"number\"){var ae=e.addMarker(j);re[ae]=!0}else{for(var _e=[],Ee=0,Ce=Math.min(j.length,N.count);Ee<Ce;Ee++){var ge=e.addMarker(j[Ee]);_e[ge]||(_e[ge]=new Uint8Array(N.count)),_e[ge][Ee]=1}for(var ie=0;ie<_e.length;ie++)if(_e[ie]){var Se={data:_e[ie],type:\"uint8\",usage:\"static\"};re[ie]?re[ie](Se):re[ie]=o.buffer(Se),re[ie].data=_e[ie]}}return j},range:function(j,N,H){var re=N.bounds;if(re)return j||(j=re),N.scale=[1/(j[2]-j[0]),1/(j[3]-j[1])],N.translate=[-j[0],-j[1]],N.scaleFract=cz.fract(N.scale),N.translateFract=cz.fract(N.translate),j},viewport:function(j){var N=xOt(j||[a.drawingBufferWidth,a.drawingBufferHeight]);return N}}]),d){var m=h,b=m.count,p=m.size,k=m.borderSize,M=m.sizeBuffer,T=new Uint8Array(b*2);if(p.length||k.length)for(var L=0;L<b;L++)T[L*2]=Math.round((p[L]==null?p:p[L])*255/s),T[L*2+1]=Math.round((k[L]==null?k:k[L])*255/s);M({data:T,usage:\"dynamic\"})}if(v){var x=h,C=x.count,S=x.color,g=x.borderColor,P=x.colorBuffer,E;if(e.tooManyColors){if(S.length||g.length){E=new Uint8Array(C*8);for(var z=0;z<C;z++){var q=S[z];E[z*8]=u[q*4],E[z*8+1]=u[q*4+1],E[z*8+2]=u[q*4+2],E[z*8+3]=u[q*4+3];var V=g[z];E[z*8+4]=u[V*4],E[z*8+5]=u[V*4+1],E[z*8+6]=u[V*4+2],E[z*8+7]=u[V*4+3]}}}else if(S.length||g.length){E=new Uint8Array(C*4+2);for(var G=0;G<C;G++)S[G]!=null&&(E[G*4]=S[G]%l,E[G*4+1]=Math.floor(S[G]/l)),g[G]!=null&&(E[G*4+2]=g[G]%l,E[G*4+3]=Math.floor(g[G]/l))}P({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return h})}};av.prototype.addMarker=function(e){var t=this.markerTextures,r=this.regl,n=this.markerCache,i=e==null?0:n.indexOf(e);if(i>=0)return i;var a;if(e instanceof Uint8Array||e instanceof Uint8ClampedArray)a=e;else{a=new Uint8Array(e.length);for(var o=0,s=e.length;o<s;o++)a[o]=e[o]*255}var l=Math.floor(Math.sqrt(a.length));return i=t.length,n.push(e),t.push(r.texture({channels:1,data:a,radius:l,mag:\"linear\",min:\"linear\"})),i};av.prototype.updateColor=function(e){var t=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(e)||(e=[e]);var i=[];if(typeof e[0]==\"number\"){var a=[];if(Array.isArray(e))for(var o=0;o<e.length;o+=4)a.push(e.slice(o,o+4));else for(var s=0;s<e.length;s+=4)a.push(e.subarray(s,s+4));e=a}for(var l=0;l<e.length;l++){var u=e[l];u=dOt(u,\"uint8\");var c=pOt(u,!1);if(t[c]==null){var f=r.length;t[c]=Math.floor(f/4),r[f]=u[0],r[f+1]=u[1],r[f+2]=u[2],r[f+3]=u[3]}i[l]=t[c]}return!this.tooManyColors&&r.length>n*4&&(this.tooManyColors=!0),this.updatePalette(r),i.length===1?i[0]:i};av.prototype.updatePalette=function(e){if(!this.tooManyColors){var t=this.maxColors,r=this.paletteTexture,n=Math.ceil(e.length*.25/t);if(n>1){e=e.slice();for(var i=e.length*.25%t;i<n*t;i++)e.push(0,0,0,0)}r.height<n&&r.resize(t,n),r.subimage({width:Math.min(e.length*.25,t),height:n,data:e},0,0)}};av.prototype.destroy=function(){return this.groups.forEach(function(e){e.sizeBuffer.destroy(),e.positionBuffer.destroy(),e.positionFractBuffer.destroy(),e.colorBuffer.destroy(),e.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),e.selectionBuffer.destroy(),e.elements&&e.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(e){return 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+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\n",
+       "attribute vec4 color;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "vec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n",
+       "\t// the order is important\n",
+       "\treturn position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineOffset = lineTop * 2. - 1.;\n",
+       "\n",
+       "\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n",
+       "\ttangent = normalize(diff * scale * viewport.zw);\n",
+       "\tvec2 normal = vec2(-tangent.y, tangent.x);\n",
+       "\n",
+       "\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n",
+       "\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n",
+       "\n",
+       "\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "}\n",
+       "`,lUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1.;\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`,uUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 position, positionFract;\n",
+       "\n",
+       "uniform vec4 color;\n",
+       "uniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "uniform float pixelRatio, id;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float opacity;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "const float MAX_LINES = 256.;\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n",
+       "\n",
+       "\tvec2 position = position * scale + translate\n",
+       "       + positionFract * scale + translateFract\n",
+       "       + position * scaleFract\n",
+       "       + positionFract * scaleFract;\n",
+       "\n",
+       "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tfragColor = color / 255.;\n",
+       "\tfragColor.a *= opacity;\n",
+       "}\n",
+       "`,cUt=`\n",
+       "precision highp float;\n",
+       "varying vec4 fragColor;\n",
+       "\n",
+       "void main() {\n",
+       "\tgl_FragColor = fragColor;\n",
+       "}\n",
+       "`,fUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n",
+       "attribute vec4 aColor, bColor;\n",
+       "attribute float lineEnd, lineTop;\n",
+       "\n",
+       "uniform vec2 scale, translate;\n",
+       "uniform float thickness, pixelRatio, id, depth;\n",
+       "uniform vec4 viewport;\n",
+       "uniform float miterLimit, miterMode;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 tangent;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "const float REVERSE_THRESHOLD = -.875;\n",
+       "const float MIN_DIFF = 1e-6;\n",
+       "\n",
+       "// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n",
+       "// TODO: precalculate dot products, normalize things beforehead etc.\n",
+       "// TODO: refactor to rectangular algorithm\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "bool isNaN( float val ){\n",
+       "  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n",
+       "\n",
+       "  vec2 adjustedScale;\n",
+       "  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n",
+       "  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n",
+       "\n",
+       "  vec2 scaleRatio = adjustedScale * viewport.zw;\n",
+       "\tvec2 normalWidth = thickness / scaleRatio;\n",
+       "\n",
+       "\tfloat lineStart = 1. - lineEnd;\n",
+       "\tfloat lineBot = 1. - lineTop;\n",
+       "\n",
+       "\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n",
+       "\n",
+       "\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n",
+       "\n",
+       "\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n",
+       "\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n",
+       "\n",
+       "\n",
+       "\tvec2 prevDiff = aCoord - prevCoord;\n",
+       "\tvec2 currDiff = bCoord - aCoord;\n",
+       "\tvec2 nextDiff = nextCoord - bCoord;\n",
+       "\n",
+       "\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n",
+       "\tvec2 currTangent = normalize(currDiff * scaleRatio);\n",
+       "\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n",
+       "\n",
+       "\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n",
+       "\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n",
+       "\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n",
+       "\n",
+       "\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n",
+       "\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n",
+       "\n",
+       "\t// collapsed/unidirectional segment cases\n",
+       "\t// FIXME: there should be more elegant solution\n",
+       "\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n",
+       "\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n",
+       "\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tstartJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n",
+       "\t\tendJoinDirection = currNormal;\n",
+       "\t}\n",
+       "\tif (aCoord == bCoord) {\n",
+       "\t\tendJoinDirection = startJoinDirection;\n",
+       "\t\tcurrNormal = prevNormal;\n",
+       "\t\tcurrTangent = prevTangent;\n",
+       "\t}\n",
+       "\n",
+       "\ttangent = currTangent;\n",
+       "\n",
+       "\t//calculate join shifts relative to normals\n",
+       "\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n",
+       "\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n",
+       "\n",
+       "\tfloat startMiterRatio = abs(1. / startJoinShift);\n",
+       "\tfloat endMiterRatio = abs(1. / endJoinShift);\n",
+       "\n",
+       "\tvec2 startJoin = startJoinDirection * startMiterRatio;\n",
+       "\tvec2 endJoin = endJoinDirection * endMiterRatio;\n",
+       "\n",
+       "\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n",
+       "\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n",
+       "\tstartBotJoin = -startTopJoin;\n",
+       "\n",
+       "\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n",
+       "\tendBotJoin = -endTopJoin;\n",
+       "\n",
+       "\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n",
+       "\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n",
+       "\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n",
+       "\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n",
+       "\n",
+       "\t//miter anti-clipping\n",
+       "\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n",
+       "\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n",
+       "\n",
+       "\t//prevent close to reverse direction switch\n",
+       "\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n",
+       "\n",
+       "\tif (prevReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n",
+       "\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\tbTopCoord -= normalWidth * endTopJoin;\n",
+       "\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tif (nextReverse) {\n",
+       "\t\t//make join rectangular\n",
+       "\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n",
+       "\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n",
+       "\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n",
+       "\t}\n",
+       "\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n",
+       "\t\t//handle miter clipping\n",
+       "\t\taBotCoord -= normalWidth * startBotJoin;\n",
+       "\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n",
+       "\t}\n",
+       "\n",
+       "\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n",
+       "\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n",
+       "\n",
+       "\t//position is normalized 0..1 coord on the screen\n",
+       "\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n",
+       "\n",
+       "\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n",
+       "\n",
+       "\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n",
+       "\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n",
+       "\n",
+       "\t//bevel miter cutoffs\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t//round miter cutoffs\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n",
+       "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n",
+       "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tstartCutoff += viewport.xyxy;\n",
+       "\t\t\tstartCutoff += startMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n",
+       "\t\t\tendCutoff = vec4(bCoord, bCoord);\n",
+       "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n",
+       "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n",
+       "\t\t\tendCutoff += viewport.xyxy;\n",
+       "\t\t\tendCutoff += endMiterWidth.xyxy;\n",
+       "\t\t}\n",
+       "\t}\n",
+       "}\n",
+       "`,hUt=`\n",
+       "precision highp float;\n",
+       "\n",
+       "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n",
+       "uniform sampler2D dashTexture;\n",
+       "\n",
+       "varying vec4 fragColor;\n",
+       "varying vec2 tangent;\n",
+       "varying vec4 startCutoff, endCutoff;\n",
+       "varying vec2 startCoord, endCoord;\n",
+       "varying float enableStartMiter, enableEndMiter;\n",
+       "\n",
+       "float distToLine(vec2 p, vec2 a, vec2 b) {\n",
+       "\tvec2 diff = b - a;\n",
+       "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n",
+       "\treturn dot(p - a, perp);\n",
+       "}\n",
+       "\n",
+       "void main() {\n",
+       "\tfloat alpha = 1., distToStart, distToEnd;\n",
+       "\tfloat cutoff = thickness * .5;\n",
+       "\n",
+       "\t//bevel miter\n",
+       "\tif (miterMode == 1.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < -1.) {\n",
+       "\t\t\t\tdiscard;\n",
+       "\t\t\t\treturn;\n",
+       "\t\t\t}\n",
+       "\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\t// round miter\n",
+       "\telse if (miterMode == 2.) {\n",
+       "\t\tif (enableStartMiter == 1.) {\n",
+       "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n",
+       "\t\t\tif (distToStart < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\n",
+       "\t\tif (enableEndMiter == 1.) {\n",
+       "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n",
+       "\t\t\tif (distToEnd < 0.) {\n",
+       "\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n",
+       "\n",
+       "\t\t\t\tif(radius > cutoff + .5) {\n",
+       "\t\t\t\t\tdiscard;\n",
+       "\t\t\t\t\treturn;\n",
+       "\t\t\t\t}\n",
+       "\n",
+       "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n",
+       "\t\t\t}\n",
+       "\t\t}\n",
+       "\t}\n",
+       "\n",
+       "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n",
+       "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n",
+       "\n",
+       "\tgl_FragColor = fragColor;\n",
+       "\tgl_FragColor.a *= alpha * opacity * dash;\n",
+       "}\n",
+       "`;COe.exports=Wc;function Wc(e,t){if(!(this instanceof Wc))return new Wc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=Wc.shaders.has(e)?Wc.shaders.get(e):Wc.shaders.set(e,Wc.createShaders(e)).get(e),this.update(t)}Wc.dashMult=2;Wc.maxPatternLength=256;Wc.precisionThreshold=3e6;Wc.maxPoints=1e4;Wc.maxLines=2048;Wc.shaders=new aUt;Wc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(QY({vert:sUt,frag:lUt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(QY({cull:{enable:!0,face:\"back\"},vert:fUt,frag:hUt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:uUt,frag:cUt,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};Wc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};Wc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};Wc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>Wc.precisionThreshold||t.scale[1]*t.viewport.height>Wc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=Wc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};Wc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=tUt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=QY({},Wc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,a<Wc.maxLines&&(o.depth=2*(Wc.maxLines-1-a%Wc.maxLines)/Wc.maxLines-1)),i.join!=null&&(o.join=i.join),i.hole!=null&&(o.hole=i.hole),i.fill!=null&&(o.fill=i.fill?Mz(i.fill,\"uint8\"):null),i.viewport!=null&&(o.viewport=kOe(i.viewport)),o.viewport||(o.viewport=kOe([r.drawingBufferWidth,r.drawingBufferHeight])),i.close!=null&&(o.close=i.close),i.positions===null&&(i.positions=[]),i.positions){let u,c;if(i.positions.x&&i.positions.y){let v=i.positions.x,m=i.positions.y;c=o.count=Math.max(v.length,m.length),u=new Float64Array(c*2);for(let b=0;b<c;b++)u[b*2]=v[b],u[b*2+1]=m[b]}else u=rUt(i.positions,\"float64\"),c=o.count=Math.floor(u.length/2);let f=o.bounds=eUt(u,2);if(o.fill){let v=[],m={},b=0;for(let p=0,k=0,M=o.count;p<M;p++){let T=u[p*2],L=u[p*2+1];isNaN(T)||isNaN(L)||T==null||L==null?(T=u[b*2],L=u[b*2+1],m[p]=b):b=p,v[k++]=T,v[k++]=L}if(i.splitNull){o.count-1 in m||(m[o.count]=o.count-1);let p=Object.keys(m).map(Number).sort((L,x)=>L-x),k=[],M=0,T=o.hole!=null?o.hole[0]:null;if(T!=null){let L=oUt(p,x=>x>=T);p=p.slice(0,L),p.push(T)}for(let L=0;L<p.length;L++){let x=v.slice(M*2,p[L]*2).concat(T?v.slice(T*2):[]),C=(o.hole||[]).map(g=>g-T+(p[L]-M)),S=EOe(x,C);S=S.map(g=>g+M+(g+M<p[L]?0:T-p[L])),k.push(...S),M=p[L]+1}for(let L=0,x=k.length;L<x;L++)m[k[L]]!=null&&(k[L]=m[k[L]]);o.triangles=k}else{let p=EOe(v,o.hole||[]);for(let k=0,M=p.length;k<M;k++)m[p[k]]!=null&&(p[k]=m[p[k]]);o.triangles=p}}let h=new Float64Array(u);iUt(h,2,f);let d=new Float64Array(c*2+6);o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[0]=h[c*2-4],d[1]=h[c*2-3]):(d[0]=h[c*2-2],d[1]=h[c*2-1]):(d[0]=h[0],d[1]=h[1]),d.set(h,2),o.close?u[0]===u[c*2-2]&&u[1]===u[c*2-1]?(d[c*2+2]=h[2],d[c*2+3]=h[3],o.count-=1):(d[c*2+2]=h[0],d[c*2+3]=h[1],d[c*2+4]=h[2],d[c*2+5]=h[3]):(d[c*2+2]=h[c*2-2],d[c*2+3]=h[c*2-1],d[c*2+4]=h[c*2-2],d[c*2+5]=h[c*2-1]);var s=nUt(d);o.positionBuffer(s);var l=$Y(d,s);o.positionFractBuffer(l)}if(i.range?o.range=i.range:o.range||(o.range=o.bounds),(i.range||i.positions)&&o.count){let u=o.bounds,c=u[2]-u[0],f=u[3]-u[1],h=o.range[2]-o.range[0],d=o.range[3]-o.range[1];o.scale=[c/h,f/d],o.translate=[-o.range[0]/h+u[0]/h||0,-o.range[1]/d+u[1]/d||0],o.scaleFract=$Y(o.scale),o.translateFract=$Y(o.translate)}if(i.dashes){let u=0,c;if(!i.dashes||i.dashes.length<2)u=1,c=new Uint8Array([255,255,255,255,255,255,255,255]);else{u=0;for(let d=0;d<i.dashes.length;++d)u+=i.dashes[d];c=new Uint8Array(u*Wc.dashMult);let f=0,h=255;for(let d=0;d<2;d++)for(let v=0;v<i.dashes.length;++v){for(let m=0,b=i.dashes[v]*Wc.dashMult*.5;m<b;++m)c[f++]=h;h^=255}}o.dashLength=u,o.dashTexture({channels:1,data:c,width:c.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(i.color){let u=o.count,c=i.color;c||(c=\"transparent\");let f=new Uint8Array(u*4+4);if(!Array.isArray(c)||typeof c[0]==\"number\"){let h=Mz(c,\"uint8\");for(let d=0;d<u+1;d++)f.set(h,d*4)}else{for(let h=0;h<u;h++){let d=Mz(c[h],\"uint8\");f.set(d,h*4)}f.set(Mz(c[0],\"uint8\"),u*4)}o.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:f})}}}),e.length<this.passes.length){for(let i=e.length;i<this.passes.length;i++){let a=this.passes[i];a&&(a.colorBuffer.destroy(),a.positionBuffer.destroy(),a.dashTexture.destroy())}this.passes.length=e.length}let n=[];for(let i=0;i<this.passes.length;i++)this.passes[i]!==null&&n.push(this.passes[i]);return this.passes=n,this};Wc.prototype.destroy=function(){return this.passes.forEach(e=>{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var DOe=ye((C_r,ROe)=>{\"use strict\";var dUt=ow(),vUt=lx(),pUt=bY(),gUt=ry(),LOe=Nh(),POe=sw(),{float32:mUt,fract32:tK}=lz();ROe.exports=yUt;var IOe=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]];function yUt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:IOe}),v(t),n=e({vert:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tattribute vec2 position, positionFract;\n",
+       "\t\tattribute vec4 error;\n",
+       "\t\tattribute vec4 color;\n",
+       "\n",
+       "\t\tattribute vec2 direction, lineOffset, capOffset;\n",
+       "\n",
+       "\t\tuniform vec4 viewport;\n",
+       "\t\tuniform float lineWidth, capSize;\n",
+       "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tfragColor = color / 255.;\n",
+       "\n",
+       "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n",
+       "\n",
+       "\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n",
+       "\n",
+       "\t\t\tvec2 position = position + dxy;\n",
+       "\n",
+       "\t\t\tvec2 pos = (position + translate) * scale\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scale\n",
+       "\t\t\t\t+ (position + translate) * scaleFract\n",
+       "\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n",
+       "\n",
+       "\t\t\tpos += pixelOffset / viewport.zw;\n",
+       "\n",
+       "\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n",
+       "\t\t}\n",
+       "\t\t`,frag:`\n",
+       "\t\tprecision highp float;\n",
+       "\n",
+       "\t\tvarying vec4 fragColor;\n",
+       "\n",
+       "\t\tuniform float opacity;\n",
+       "\n",
+       "\t\tvoid main() {\n",
+       "\t\t\tgl_FragColor = fragColor;\n",
+       "\t\t\tgl_FragColor.a *= opacity;\n",
+       "\t\t}\n",
+       "\t\t`,uniforms:{range:e.prop(\"range\"),lineWidth:e.prop(\"lineWidth\"),capSize:e.prop(\"capSize\"),opacity:e.prop(\"opacity\"),scale:e.prop(\"scale\"),translate:e.prop(\"translate\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),viewport:(b,p)=>[p.viewport.x,p.viewport.y,b.viewportWidth,b.viewportHeight]},attributes:{color:{buffer:o,offset:(b,p)=>p.offset*4,divisor:1},position:{buffer:i,offset:(b,p)=>p.offset*8,divisor:1},positionFract:{buffer:a,offset:(b,p)=>p.offset*8,divisor:1},error:{buffer:s,offset:(b,p)=>p.offset*16,divisor:1},direction:{buffer:l,stride:24,offset:0},lineOffset:{buffer:l,stride:24,offset:8},capOffset:{buffer:l,stride:24,offset:16}},primitive:\"triangles\",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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S||(S=E),g.scale=[1/(S[2]-S[0]),1/(S[3]-S[1])],g.translate=[-S[0],-S[1]],g.scaleFract=tK(g.scale),g.translateFract=tK(g.translate),S},viewport:S=>{let g;return Array.isArray(S)?g={x:S[0],y:S[1],width:S[2]-S[0],height:S[3]-S[1]}:S?(g={x:S.x||S.left||0,y:S.y||S.top||0},S.right?g.width=S.right-g.x:g.width=S.w||S.width||0,S.bottom?g.height=S.bottom-g.y:g.height=S.h||S.height||0):g={x:0,y:0,width:r.drawingBufferWidth,height:r.drawingBufferHeight},g}}]),C}),p||k){let L=c.reduce((g,P,E)=>g+(P?P.count:0),0),x=new Float64Array(L*2),C=new Uint8Array(L*4),S=new Float32Array(L*4);c.forEach((g,P)=>{if(!g)return;let{positions:E,count:z,offset:q,color:V,errors:G}=g;z&&(C.set(V,q*4),S.set(G,q*4),x.set(E,q*2))});var M=mUt(x);i(M);var T=tK(x,M);a(T),o(C),s(S)}}function m(){i.destroy(),a.destroy(),o.destroy(),s.destroy(),l.destroy()}}});var qOe=ye((L_r,zOe)=>{var FOe=/[\\'\\\"]/;zOe.exports=function(t){return 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HOe=ye((q_r,GOe)=>{\"use strict\";var VOe=UOe();GOe.exports=function(t,r,n){if(t==null)throw Error(\"First argument should be a string\");if(r==null)throw Error(\"Separator should be a string or a RegExp\");n?(typeof n==\"string\"||Array.isArray(n))&&(n={ignore:n}):n={},n.escape==null&&(n.escape=!0),n.ignore==null?n.ignore=[\"[]\",\"()\",\"{}\",\"<>\",'\"\"',\"''\",\"``\",\"\\u201C\\u201D\",\"\\xAB\\xBB\"]:(typeof n.ignore==\"string\"&&(n.ignore=[n.ignore]),n.ignore=n.ignore.map(function(f){return f.length===1&&(f=f+f),f}));var i=VOe.parse(t,{flat:!0,brackets:n.ignore}),a=i[0],o=a.split(r);if(n.escape){for(var s=[],l=0;l<o.length;l++){var u=o[l],c=o[l+1];u[u.length-1]===\"\\\\\"&&u[u.length-2]!==\"\\\\\"?(s.push(u+r+c),l++):s.push(u)}o=s}for(var l=0;l<o.length;l++)i[0]=o[l],o[l]=VOe.stringify(i,{flat:!0});return o}});var jOe=ye((O_r,AUt)=>{AUt.exports=[\"xx-small\",\"x-small\",\"small\",\"medium\",\"large\",\"x-large\",\"xx-large\",\"larger\",\"smaller\"]});var lK=ye((B_r,WOe)=>{\"use 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si(Ut,Oe),Ut.width=0,Ut.height=0,Bi(Ut,Nt),Ut.width=Ut.width||(Oe.width>>Ft)-It,Ut.height=Ut.height||(Oe.height>>Ft)-Bt,al(Oe),Nn(Ut,_n,It,Bt,Ft),io(),Cn(Ut),ht}function cr(Nt,Ne){var $e=Nt|0,st=Ne|0||$e;if($e===Oe.width&&st===Oe.height)return ht;ht.width=Oe.width=$e,ht.height=Oe.height=st,al(Oe);for(var It=0;Oe.mipmask>>It;++It){var Bt=$e>>It,Ft=st>>It;if(!Bt||!Ft)break;Me.texImage2D(_n,It,Oe.format,Bt,Ft,0,Oe.format,Oe.type,null)}return io(),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,$e,st,!1,!1)),ht}return ht(ne,we),ht.subimage=Yt,ht.resize=cr,ht._reglType=\"texture2d\",ht._texture=Oe,Nr.profile&&(ht.stats=Oe.stats),ht.destroy=function(){Oe.decRef()},ht}function J(ne,we,Oe,ht,Yt,cr){var Nt=new wa(ya);ss[Nt.id]=Nt,Or.cubeCount++;var Ne=new Array(6);function $e(Bt,Ft,Ut,zt,_t,Dt){var vt,lr=Nt.texInfo;for(zo.call(lr),vt=0;vt<6;++vt)Ne[vt]=Ga();if(typeof Bt==\"number\"||!Bt){var _r=Bt|0||1;for(vt=0;vt<6;++vt)sa(Ne[vt],_r,_r)}else if(typeof 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It(Bt){var Ft=Bt|0;if(Ft!==Nt.width){$e.width=Nt.width=Ft,$e.height=Nt.height=Ft,al(Nt);for(var Ut=0;Ut<6;++Ut)for(var zt=0;Nt.mipmask>>zt;++zt)Me.texImage2D(ea+Ut,zt,Nt.format,Ft>>zt,Ft>>zt,0,Nt.format,Nt.type,null);return io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,!1,!0)),$e}}return $e(ne,we,Oe,ht,Yt,cr),$e.subimage=st,$e.resize=It,$e._reglType=\"textureCube\",$e._texture=Nt,Nr.profile&&($e.stats=Nt.stats),$e.destroy=function(){Nt.decRef()},$e}function O(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;gt(ss).forEach(Y),Or.cubeCount=0,Or.textureCount=0}Nr.profile&&(Or.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}gt(ss).forEach(function(Oe){Oe.texture=Me.createTexture(),Me.bindTexture(Oe.target,Oe.texture);for(var ht=0;ht<32;++ht)if((Oe.mipmask&1<<ht)!==0)if(Oe.target===_n)Me.texImage2D(_n,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);else for(var Yt=0;Yt<6;++Yt)Me.texImage2D(ea+Yt,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);nl(Oe.texInfo,Oe.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:O,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,gs=36194,Wf=33189,Wh=36168,rh=34041,lf=35907,Sh=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[Wf]=2,js[Wh]=1,js[rh]=4,js[lf]=4,js[Sh]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,Ot){return js[Me]*bt*Ot}var Dc=function(Me,bt,Ot,Lr,Vr){var Or={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:Wf,stencil:Wh,\"depth 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Qi(){gt(Ni).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Bl,Wi.renderbuffer),Me.renderbufferStorage(Bl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Bl,null)}return{create:Vn,clear:function(){gt(Ni).forEach(Si)},restore:Qi}},ks=36160,bc=36161,hu=3553,_u=34069,il=36064,nh=36096,Mh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,qu=6408,bf=[];bf[qu]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function uf(Me,bt,Ot,Lr,Vr,Or){var Nr={cur:null,next:null,dirty:!1,setFBO:null},vi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ni.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Si(Ui,Bi,pn){this.target=Ui,this.texture=Bi,this.renderbuffer=pn;var Nn=0,aa=0;Bi?(Nn=Bi.width,aa=Bi.height):pn&&(Nn=pn.width,aa=pn.height),this.width=Nn,this.height=aa}function Vn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,pn){if(Ui)if(Ui.texture){var Nn=Ui.texture._texture,aa=Math.max(1,Nn.width),Ki=Math.max(1,Nn.height);Nn.refCount+=1}else{var Cn=Ui.renderbuffer._renderbuffer;Cn.refCount+=1}}function Wi(Ui,Bi){Bi&&(Bi.texture?Me.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function oi(Ui){var Bi=hu,pn=null,Nn=null,aa=Ui;typeof Ui==\"object\"&&(aa=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Ki=aa._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=aa:Ki===\"renderbuffer\"&&(Nn=aa,Bi=bc),new Si(Bi,pn,Nn)}function Tr(Ui,Bi,pn,Nn,aa){if(pn){var Ki=Lr.create2D({width:Ui,height:Bi,format:Nn,type:aa});return Ki._texture.refCount=0,new Si(hu,Ki,null)}else{var Cn=Vr.create({width:Ui,height:Bi,format:Nn});return Cn._renderbuffer.refCount=0,new Si(bc,null,Cn)}}function Zr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function yi(Ui,Bi,pn){Ui&&(Ui.texture?Ui.texture.resize(Bi,pn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,pn),Ui.width=Bi,Ui.height=pn)}var Ii=0,ui={};function nn(){this.id=Ii++,ui[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Ui){Ui.colorAttachments.forEach(Vn),Vn(Ui.depthAttachment),Vn(Ui.stencilAttachment),Vn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Me.deleteFramebuffer(Bi),Ui.framebuffer=null,Or.framebufferCount--,delete ui[Ui.id]}function fi(Ui){var Bi;Me.bindFramebuffer(ks,Ui.framebuffer);var pn=Ui.colorAttachments;for(Bi=0;Bi<pn.length;++Bi)Wi(il+Bi,pn[Bi]);for(Bi=pn.length;Bi<Ot.maxColorAttachments;++Bi)Me.framebufferTexture2D(ks,il+Bi,hu,null,0);Me.framebufferTexture2D(ks,zu,hu,null,0),Me.framebufferTexture2D(ks,nh,hu,null,0),Me.framebufferTexture2D(ks,Mh,hu,null,0),Wi(nh,Ui.depthAttachment),Wi(Mh,Ui.stencilAttachment),Wi(zu,Ui.depthStencilAttachment);var Nn=Me.checkFramebufferStatus(ks);Me.isContextLost(),Me.bindFramebuffer(ks,Nr.next?Nr.next.framebuffer:null),Nr.cur=Nr.next,Me.getError()}function si(Ui,Bi){var pn=new nn;Or.framebufferCount++;function Nn(Ki,Cn){var ia,sa=0,ba=0,is=!0,Zs=!0,Ga=null,El=!0,zo=\"rgba\",Qs=\"uint8\",nl=1,Ul=null,ss=null,Vs=null,Ys=!1;if(typeof Ki==\"number\")sa=Ki|0,ba=Cn|0||sa;else if(!Ki)sa=ba=1;else{var wa=Ki;if(\"shape\"in wa){var al=wa.shape;sa=al[0],ba=al[1]}else\"radius\"in wa&&(sa=ba=wa.radius),\"width\"in wa&&(sa=wa.width),\"height\"in wa&&(ba=wa.height);(\"color\"in wa||\"colors\"in wa)&&(Ga=wa.color||wa.colors,Array.isArray(Ga)),Ga||(\"colorCount\"in wa&&(nl=wa.colorCount|0),\"colorTexture\"in wa&&(El=!!wa.colorTexture,zo=\"rgba4\"),\"colorType\"in wa&&(Qs=wa.colorType,El||(Qs===\"half float\"||Qs===\"float16\"?zo=\"rgba16f\":(Qs===\"float\"||Qs===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in wa&&(zo=wa.colorFormat,vi.indexOf(zo)>=0?El=!0:Ni.indexOf(zo)>=0&&(El=!1))),(\"depthTexture\"in wa||\"depthStencilTexture\"in wa)&&(Ys=!!(wa.depthTexture||wa.depthStencilTexture)),\"depth\"in wa&&(typeof wa.depth==\"boolean\"?is=wa.depth:(Ul=wa.depth,Zs=!1)),\"stencil\"in wa&&(typeof wa.stencil==\"boolean\"?Zs=wa.stencil:(ss=wa.stencil,is=!1)),\"depthStencil\"in wa&&(typeof wa.depthStencil==\"boolean\"?is=Zs=wa.depthStencil:(Vs=wa.depthStencil,is=!1,Zs=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Ga))io=Ga.map(oi);else if(Ga)io=[oi(Ga)];else for(io=new Array(nl),ia=0;ia<nl;++ia)io[ia]=Tr(sa,ba,El,zo,Qs);sa=sa||io[0].width,ba=ba||io[0].height,Ul?Y=oi(Ul):is&&!Zs&&(Y=Tr(sa,ba,Ys,\"depth\",\"uint32\")),ss?D=oi(ss):Zs&&!is&&(D=Tr(sa,ba,!1,\"stencil\",\"uint8\")),Vs?J=oi(Vs):!Ul&&!ss&&Zs&&is&&(J=Tr(sa,ba,Ys,\"depth stencil\",\"depth stencil\"));var O=null;for(ia=0;ia<io.length;++ia)if(Qi(io[ia],sa,ba),io[ia]&&io[ia].texture){var K=bf[io[ia].texture._texture.format]*jl[io[ia].texture._texture.type];O===null&&(O=K)}return Qi(Y,sa,ba),Qi(D,sa,ba),Qi(J,sa,ba),Zi(pn),pn.width=sa,pn.height=ba,pn.colorAttachments=io,pn.depthAttachment=Y,pn.stencilAttachment=D,pn.depthStencilAttachment=J,Nn.color=io.map(Zr),Nn.depth=Zr(Y),Nn.stencil=Zr(D),Nn.depthStencil=Zr(J),Nn.width=pn.width,Nn.height=pn.height,fi(pn),Nn}function aa(Ki,Cn){var ia=Math.max(Ki|0,1),sa=Math.max(Cn|0||ia,1);if(ia===pn.width&&sa===pn.height)return Nn;for(var ba=pn.colorAttachments,is=0;is<ba.length;++is)yi(ba[is],ia,sa);return yi(pn.depthAttachment,ia,sa),yi(pn.stencilAttachment,ia,sa),yi(pn.depthStencilAttachment,ia,sa),pn.width=Nn.width=ia,pn.height=Nn.height=sa,fi(pn),Nn}return Nn(Ui,Bi),e(Nn,{resize:aa,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){qn(pn),Zi(pn)},use:function(Ki){Nr.setFBO({framebuffer:Nn},Ki)}})}function mn(Ui){var Bi=Array(6);function pn(aa){var Ki,Cn={color:null},ia=0,sa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof aa==\"number\")ia=aa|0;else if(!aa)ia=1;else{var Ga=aa;if(\"shape\"in Ga){var El=Ga.shape;ia=El[0]}else\"radius\"in Ga&&(ia=Ga.radius|0),\"width\"in Ga?(ia=Ga.width|0,\"height\"in Ga):\"height\"in Ga&&(ia=Ga.height|0);(\"color\"in Ga||\"colors\"in Ga)&&(sa=Ga.color||Ga.colors,Array.isArray(sa)),sa||(\"colorCount\"in Ga&&(Zs=Ga.colorCount|0),\"colorType\"in Ga&&(is=Ga.colorType),\"colorFormat\"in Ga&&(ba=Ga.colorFormat)),\"depth\"in Ga&&(Cn.depth=Ga.depth),\"stencil\"in Ga&&(Cn.stencil=Ga.stencil),\"depthStencil\"in Ga&&(Cn.depthStencil=Ga.depthStencil)}var zo;if(sa)if(Array.isArray(sa))for(zo=[],Ki=0;Ki<sa.length;++Ki)zo[Ki]=sa[Ki];else zo=[sa];else{zo=Array(Zs);var Qs={radius:ia,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Lr.createCube(Qs)}for(Cn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var nl=zo[Ki];ia=ia||nl.width,Cn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Ul=0;Ul<zo.length;++Ul)Cn.color[Ul].target=_u+Ki;Ki>0&&(Cn.depth=Bi[0].depth,Cn.stencil=Bi[0].stencil,Cn.depthStencil=Bi[0].depthStencil),Bi[Ki]?Bi[Ki](Cn):Bi[Ki]=si(Cn)}return e(pn,{width:ia,height:ia,color:zo})}function Nn(aa){var Ki,Cn=aa|0;if(Cn===pn.width)return pn;var ia=pn.color;for(Ki=0;Ki<ia.length;++Ki)ia[Ki].resize(Cn);for(Ki=0;Ki<6;++Ki)Bi[Ki].resize(Cn);return pn.width=pn.height=Cn,pn}return pn(Ui),e(pn,{faces:Bi,resize:Nn,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(aa){aa.destroy()})}})}function Ji(){Nr.cur=null,Nr.next=null,Nr.dirty=!0,gt(ui).forEach(function(Ui){Ui.framebuffer=Me.createFramebuffer(),fi(Ui)})}return e(Nr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:si,createCube:mn,clear:function(){gt(ui).forEach(qn)},restore:Ji})}var Xh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Xh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,Ot,Lr,Vr,Or,Nr){for(var vi=Ot.maxAttributes,Ni=new Array(vi),qi=0;qi<vi;++qi)Ni[qi]=new du;var Si=0,Vn={},Qi={Record:du,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:oi()?Zi:function(){},createVAO:qn,getVAO:Zr,destroyBuffer:Wi,setVAO:oi()?yi:Ii,clear:oi()?ui:function(){}};function Wi(fi){for(var si=0;si<Ni.length;++si){var mn=Ni[si];mn.buffer===fi&&(Me.disableVertexAttribArray(si),mn.buffer=null)}}function oi(){return bt.oes_vertex_array_object}function Tr(){return bt.angle_instanced_arrays}function Zr(fi){return typeof fi==\"function\"&&fi._vao?fi._vao:null}function yi(fi){if(fi!==Qi.currentVAO){var si=oi();fi?si.bindVertexArrayOES(fi.vao):si.bindVertexArrayOES(null),Qi.currentVAO=fi}}function Ii(fi){if(fi!==Qi.currentVAO){if(fi)fi.bindAttrs();else{for(var si=Tr(),mn=0;mn<Ni.length;++mn){var Ji=Ni[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),si&&Ji.divisor&&si.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Nr.elements?Me.bindBuffer(Cs,Nr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}Qi.currentVAO=fi}}function ui(){gt(Vn).forEach(function(fi){fi.destroy()})}function nn(){this.id=++Si,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var fi=oi();fi?this.vao=fi.createVertexArrayOES():this.vao=null,Vn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var fi=Tr(),si=this.attributes,mn=0;mn<si.length;++mn){var Ji=si[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),fi&&Ji.divisor&&fi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Ui=si.length;Ui<vi;++Ui)Me.disableVertexAttribArray(Ui);var Bi=Or.getElements(this.elements);Bi?Me.bindBuffer(Cs,Bi.buffer.buffer):Me.bindBuffer(Cs,null)},nn.prototype.refresh=function(){var fi=oi();fi&&(fi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,fi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var fi=oi();this===Qi.currentVAO&&(Qi.currentVAO=null,fi.bindVertexArrayOES(null)),fi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Vn[this.id]&&(delete Vn[this.id],Lr.vaoCount-=1)};function Zi(){var fi=oi();fi&&gt(Vn).forEach(function(si){si.refresh()})}function qn(fi){var si=new nn;Lr.vaoCount+=1;function mn(Ji){var Ui;if(Array.isArray(Ji))Ui=Ji,si.elements&&si.ownsElements&&si.elements.destroy(),si.elements=null,si.ownsElements=!1,si.offset=0,si.count=0,si.instances=-1,si.primitive=4;else{if(Ji.elements){var Bi=Ji.elements;si.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(si.elements.destroy(),si.ownsElements=!1):(si.elements(Bi),si.ownsElements=!1):Or.getElements(Ji.elements)?(si.elements=Ji.elements,si.ownsElements=!1):(si.elements=Or.create(Ji.elements),si.ownsElements=!0)}else 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Wu(Me,bt,Ot,Lr){var Vr={},Or={};function Nr(Tr,Zr,yi,Ii){this.name=Tr,this.id=Zr,this.location=yi,this.info=Ii}function vi(Tr,Zr){for(var yi=0;yi<Tr.length;++yi)if(Tr[yi].id===Zr.id){Tr[yi].location=Zr.location;return}Tr.push(Zr)}function Ni(Tr,Zr,yi){var Ii=Tr===Xf?Vr:Or,ui=Ii[Zr];if(!ui){var nn=bt.str(Zr);ui=Me.createShader(Tr),Me.shaderSource(ui,nn),Me.compileShader(ui),Ii[Zr]=ui}return ui}var qi={},Si=[],Vn=0;function Qi(Tr,Zr){this.id=Vn++,this.fragId=Tr,this.vertId=Zr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Lr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Tr,Zr,yi){var Ii,ui,nn=Ni(Xf,Tr.fragId),Zi=Ni(Us,Tr.vertId),qn=Tr.program=Me.createProgram();if(Me.attachShader(qn,nn),Me.attachShader(qn,Zi),yi)for(Ii=0;Ii<yi.length;++Ii){var fi=yi[Ii];Me.bindAttribLocation(qn,fi[0],fi[1])}Me.linkProgram(qn);var si=Me.getProgramParameter(qn,wf);Lr.profile&&(Tr.stats.uniformsCount=si);var mn=Tr.uniforms;for(Ii=0;Ii<si;++Ii)if(ui=Me.getActiveUniform(qn,Ii),ui)if(ui.size>1)for(var Ji=0;Ji<ui.size;++Ji){var Ui=ui.name.replace(\"[0]\",\"[\"+Ji+\"]\");vi(mn,new Nr(Ui,bt.id(Ui),Me.getUniformLocation(qn,Ui),ui))}else vi(mn,new Nr(ui.name,bt.id(ui.name),Me.getUniformLocation(qn,ui.name),ui));var Bi=Me.getProgramParameter(qn,zc);Lr.profile&&(Tr.stats.attributesCount=Bi);var pn=Tr.attributes;for(Ii=0;Ii<Bi;++Ii)ui=Me.getActiveAttrib(qn,Ii),ui&&vi(pn,new Nr(ui.name,bt.id(ui.name),Me.getAttribLocation(qn,ui.name),ui))}Lr.profile&&(Ot.getMaxUniformsCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.uniformsCount>Tr&&(Tr=Zr.stats.uniformsCount)}),Tr},Ot.getMaxAttributesCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.attributesCount>Tr&&(Tr=Zr.stats.attributesCount)}),Tr});function oi(){Vr={},Or={};for(var Tr=0;Tr<Si.length;++Tr)Wi(Si[Tr],null,Si[Tr].attributes.map(function(Zr){return[Zr.location,Zr.name]}))}return{clear:function(){var Tr=Me.deleteShader.bind(Me);gt(Vr).forEach(Tr),Vr={},gt(Or).forEach(Tr),Or={},Si.forEach(function(Zr){Me.deleteProgram(Zr.program)}),Si.length=0,qi={},Ot.shaderCount=0},program:function(Tr,Zr,yi,Ii){var ui=qi[Zr];ui||(ui=qi[Zr]={});var nn=ui[Tr];if(nn&&(nn.refCount++,!Ii))return nn;var Zi=new Qi(Zr,Tr);return Ot.shaderCount++,Wi(Zi,yi,Ii),nn||(ui[Tr]=Zi),Si.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var qn=Si.indexOf(Zi);Si.splice(qn,1),Ot.shaderCount--}ui[Zi.vertId].refCount<=0&&(Me.deleteShader(Or[Zi.vertId]),delete Or[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(Vr[Zi.fragId]),delete Vr[Zi.fragId],delete qi[Zi.fragId])}})},restore:oi,shader:Ni,frag:-1,vert:-1}}var Rf=6408,Xu=5121,cf=3333,Zf=5126;function Wl(Me,bt,Ot,Lr,Vr,Or,Nr){function vi(Si){var Vn;bt.next===null?Vn=Xu:Vn=bt.next.colorAttachments[0].texture._texture.type;var 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bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",Ot=\"\",Lr,Vr=0;Vr<Me.length;Vr++)Lr=Me.charCodeAt(Vr),Ot+=bt.charAt(Lr>>>4&15)+bt.charAt(Lr&15);return Ot}function Oc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Ot=\"\",Lr=Me.length,Vr=0;Vr<Lr;Vr+=3)for(var Or=Me.charCodeAt(Vr)<<16|(Vr+1<Lr?Me.charCodeAt(Vr+1)<<8:0)|(Vr+2<Lr?Me.charCodeAt(Vr+2):0),Nr=0;Nr<4;Nr++)Vr*8+Nr*6>Me.length*8?Ot+=Zu:Ot+=bt.charAt(Or>>>6*(3-Nr)&63);return Ot}function ff(Me,bt){var Ot=bt.length,Lr=Array(),Vr,Or,Nr,vi,Ni=Array(Math.ceil(Me.length/2));for(Vr=0;Vr<Ni.length;Vr++)Ni[Vr]=Me.charCodeAt(Vr*2)<<8|Me.charCodeAt(Vr*2+1);for(;Ni.length>0;){for(vi=Array(),Nr=0,Vr=0;Vr<Ni.length;Vr++)Nr=(Nr<<16)+Ni[Vr],Or=Math.floor(Nr/Ot),Nr-=Or*Ot,(vi.length>0||Or>0)&&(vi[vi.length]=Or);Lr[Lr.length]=Nr,Ni=vi}var qi=\"\";for(Vr=Lr.length-1;Vr>=0;Vr--)qi+=bt.charAt(Lr[Vr]);var Si=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(Vr=qi.length;Vr<Si;Vr++)qi=bt[0]+qi;return qi}function fc(Me){for(var bt=\"\",Ot=-1,Lr,Vr;++Ot<Me.length;)Lr=Me.charCodeAt(Ot),Vr=Ot+1<Me.length?Me.charCodeAt(Ot+1):0,55296<=Lr&&Lr<=56319&&56320<=Vr&&Vr<=57343&&(Lr=65536+((Lr&1023)<<10)+(Vr&1023),Ot++),Lr<=127?bt+=String.fromCharCode(Lr):Lr<=2047?bt+=String.fromCharCode(192|Lr>>>6&31,128|Lr&63):Lr<=65535?bt+=String.fromCharCode(224|Lr>>>12&15,128|Lr>>>6&63,128|Lr&63):Lr<=2097151&&(bt+=String.fromCharCode(240|Lr>>>18&7,128|Lr>>>12&63,128|Lr>>>6&63,128|Lr&63));return bt}function Bc(Me){for(var bt=Array(Me.length>>2),Ot=0;Ot<bt.length;Ot++)bt[Ot]=0;for(var Ot=0;Ot<Me.length*8;Ot+=8)bt[Ot>>5]|=(Me.charCodeAt(Ot/8)&255)<<24-Ot%32;return bt}function kt(Me){for(var bt=\"\",Ot=0;Ot<Me.length*32;Ot+=8)bt+=String.fromCharCode(Me[Ot>>5]>>>24-Ot%32&255);return bt}function Zt(Me,bt){return Me>>>bt|Me<<32-bt}function Er(Me,bt){return Me>>>bt}function xr(Me,bt,Ot){return Me&bt^~Me&Ot}function Kr(Me,bt,Ot){return Me&bt^Me&Ot^bt&Ot}function Mi(Me){return Zt(Me,2)^Zt(Me,13)^Zt(Me,22)}function 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lr.def(ci+\")\")}),{frag:Ut,vert:zt,progVar:Dt,program:_t}}function Ga(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={},Ft=!1;function Ut(){if(ve in st){var tn=st[ve];return tn!==null&&qi.getVAO(tn)===null&&(tn=qi.createVAO(tn)),Ft=!0,Bt.vao=tn,kn(function(Oi){var Gi=qi.getVAO(tn);return Gi?Oi.link(Gi):\"null\"})}else if(ve in It){Ft=!0;var Ei=It[ve];return Bn(Ei,function(Oi,Gi){var on=Oi.invoke(Gi,Ei);return Gi.def(Oi.shared.vao+\".getVAO(\"+on+\")\")})}return null}var zt=Ut(),_t=!1;function Dt(){if(Mt in st){var tn=st[Mt];if(Bt.elements=tn,Li(tn)){var Ei=Bt.elements=Or.create(tn,!0);tn=Or.getElements(Ei),_t=!0}else tn&&(tn=Or.getElements(tn),_t=!0);var Oi=kn(function(on,zn){if(tn){var Ja=on.link(tn);return on.ELEMENTS=Ja,Ja}return on.ELEMENTS=null,null});return Oi.value=tn,Oi}else if(Mt in It){_t=!0;var Gi=It[Mt];return Bn(Gi,function(on,zn){var Ja=on.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=on.invoke(zn,Gi),Yo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=on.cond(ms).then(Yo,\"=\",ts,\".createStream(\",so,\");\").else(Yo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(on.cond(ms).then(ts,\".destroyStream(\",Yo,\");\")),on.ELEMENTS=Yo,Yo})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var vt=Dt();function lr(){if(Jt in st){var tn=st[Jt];return Bt.primitive=tn,kn(function(Oi,Gi){return Mn[tn]})}else if(Jt in It){var Ei=It[Jt];return Bn(Ei,function(Oi,Gi){var on=Oi.constants.primTypes,zn=Oi.invoke(Gi,Ei);return Gi.def(on,\"[\",zn,\"]\")})}else{if(_t)return Pn(vt)?vt.value?kn(function(Oi,Gi){return Gi.def(Oi.ELEMENTS,\".primType\")}):kn(function(){return Sl}):new Qr(vt.thisDep,vt.contextDep,vt.propDep,function(Oi,Gi){var on=Oi.ELEMENTS;return Gi.def(on,\"?\",on,\".primType:\",Sl)});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(Oi,Gi){return Gi.def(Oi.shared.vao+\".currentVAO?\"+Oi.shared.vao+\".currentVAO.primitive:\"+Sl)})}return null}function _r(tn,Ei){if(tn in st){var Oi=st[tn]|0;return Ei?Bt.offset=Oi:Bt.instances=Oi,kn(function(on,zn){return Ei&&(on.OFFSET=Oi),Oi})}else if(tn in It){var Gi=It[tn];return Bn(Gi,function(on,zn){var Ja=on.invoke(zn,Gi);return Ei&&(on.OFFSET=Ja),Ja})}else if(Ei){if(_t)return kn(function(on,zn){return on.OFFSET=0,0});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Br=_r(yr,!0);function Di(){if($t in st){var tn=st[$t]|0;return Bt.count=tn,kn(function(){return tn})}else if($t in It){var Ei=It[$t];return Bn(Ei,function(zn,Ja){var co=zn.invoke(Ja,Ei);return co})}else if(_t)if(Pn(vt)){if(vt)return Br?new Qr(Br.thisDep,Br.contextDep,Br.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):kn(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Oi=kn(function(){return-1});return Oi}else{var Gi=new Qr(vt.thisDep||Br.thisDep,vt.contextDep||Br.contextDep,vt.propDep||Br.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Ft){var on=new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return on}return null}var ci=lr(),bi=Di(),gn=_r(Cr,!1);return{elements:vt,primitive:ci,count:bi,instances:gn,offset:Br,vao:zt,vaoActive:Ft,elementsActive:_t,static:Bt}}function El(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return fi.forEach(function(Ft){var Ut=Ji(Ft);function zt(_t,Dt){if(Ft in st){var vt=_t(st[Ft]);Bt[Ut]=kn(function(){return vt})}else if(Ft in It){var lr=It[Ft];Bt[Ut]=Bn(lr,function(_r,Br){return Dt(_r,Br,_r.invoke(Br,lr))})}}switch(Ft){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Va:case rs:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case no:return zt(function(_t){return Wr[_t]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs;return Dt.def(lr,\"[\",vt,\"]\")});case ys:return zt(function(_t){return _t},function(_t,Dt,vt){var lr=Dt.def(\"+\",vt,\"[0]\"),_r=Dt.def(\"+\",vt,\"[1]\");return[lr,_r]});case Ls:return zt(function(_t){var Dt=\"srcRGB\"in _t?_t.srcRGB:_t.src,vt=\"srcAlpha\"in _t?_t.srcAlpha:_t.src,lr=\"dstRGB\"in _t?_t.dstRGB:_t.dst,_r=\"dstAlpha\"in _t?_t.dstAlpha:_t.dst;return[xi[Dt],xi[lr],xi[vt],xi[_r]]},function(_t,Dt,vt){var lr=_t.constants.blendFuncs;function _r(Ei,Oi){var 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Dt=_t.cmp||\"keep\",vt=_t.ref||0,lr=\"mask\"in _t?_t.mask:-1;return[Wr[Dt],vt,lr]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs,_r=Dt.def('\"cmp\" in ',vt,\"?\",lr,\"[\",vt,\".cmp]\",\":\",ot),Br=Dt.def(vt,\".ref|0\"),Di=Dt.def('\"mask\" in ',vt,\"?\",vt,\".mask|0:-1\");return[_r,Br,Di]});case ue:case w:return zt(function(_t){var Dt=_t.fail||\"keep\",vt=_t.zfail||\"keep\",lr=_t.zpass||\"keep\";return[Ft===w?se:X,ii[Dt],ii[vt],ii[lr]]},function(_t,Dt,vt){var lr=_t.constants.stencilOps;function _r(Br){return Dt.def('\"',Br,'\" in ',vt,\"?\",lr,\"[\",vt,\".\",Br,\"]:\",ot)}return[Ft===w?se:X,_r(\"fail\"),_r(\"zfail\"),_r(\"zpass\")]});case xu:return zt(function(_t){var Dt=_t.factor|0,vt=_t.units|0;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def(vt,\".factor|0\"),_r=Dt.def(vt,\".units|0\");return[lr,_r]});case Yu:return zt(function(_t){var Dt=0;return _t===\"front\"?Dt=X:_t===\"back\"&&(Dt=se),Dt},function(_t,Dt,vt){return Dt.def(vt,'===\"front\"?',X,\":\",se)});case pu:return 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Iz,xc=function(t){yVt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=oVt(t),this.shader=UBe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||aVt({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),UBe.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(cVt(t)?t:{})};xc.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(i,a){return[a.atlas.width,a.atlas.height]},atlasDim:function(i,a){return[a.atlas.cols,a.atlas.rows]},atlas:function(i,a){return a.atlas.texture},charStep:function(i,a){return a.atlas.step},em:function(i,a){return a.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tattribute float width, charOffset, char;\n",
+       "\t\t\tattribute vec2 position;\n",
+       "\t\t\tuniform float fontSize, charStep, em, align, baseline;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform vec4 color;\n",
+       "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n",
+       "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n",
+       "\t\t\t\t\t/ (viewport.zw * scale.xy);\n",
+       "\n",
+       "\t\t\t\tvec2 position = (position + translate) * scale;\n",
+       "\t\t\t\tposition += offset * scale;\n",
+       "\n",
+       "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n",
+       "\n",
+       "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n",
+       "\n",
+       "\t\t\t\tgl_PointSize = charStep;\n",
+       "\n",
+       "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n",
+       "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n",
+       "\n",
+       "\t\t\t\tcharWidth = width * em;\n",
+       "\n",
+       "\t\t\t\tfontColor = color / 255.;\n",
+       "\t\t\t}`,frag:`\n",
+       "\t\t\tprecision highp float;\n",
+       "\t\t\tuniform float fontSize, charStep, opacity;\n",
+       "\t\t\tuniform vec2 atlasSize;\n",
+       "\t\t\tuniform vec4 viewport;\n",
+       "\t\t\tuniform sampler2D atlas;\n",
+       "\t\t\tvarying vec4 fontColor;\n",
+       "\t\t\tvarying vec2 charCoord, charId;\n",
+       "\t\t\tvarying float charWidth;\n",
+       "\n",
+       "\t\t\tfloat lightness(vec4 color) {\n",
+       "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n",
+       "\t\t\t}\n",
+       "\n",
+       "\t\t\tvoid main () {\n",
+       "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n",
+       "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n",
+       "\n",
+       "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n",
+       "\t\t\t\tuv.y = charStep - uv.y;\n",
+       "\n",
+       "\t\t\t\t// ignore points outside of character bounding box\n",
+       "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n",
+       "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n",
+       "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n",
+       "\n",
+       "\t\t\t\tuv += charId * charStep;\n",
+       "\t\t\t\tuv = uv / atlasSize;\n",
+       "\n",
+       "\t\t\t\tvec4 color = fontColor;\n",
+       "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n",
+       "\n",
+       "\t\t\t\tfloat maskY = lightness(mask);\n",
+       "\t\t\t\t// float colorY = lightness(color);\n",
+       "\t\t\t\tcolor.a *= maskY;\n",
+       "\t\t\t\tcolor.a *= opacity;\n",
+       "\n",
+       "\t\t\t\t// color.a += .1;\n",
+       "\n",
+       "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n",
+       "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n",
+       "\n",
+       "\t\t\t\tgl_FragColor = color;\n",
+       "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};xc.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=nVt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(Ce){return parseFloat(Ce)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=uVt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=gVt(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!t.font&&(t.font=xc.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(Ce,ge){if(typeof Ce==\"string\")try{Ce=w5.parse(Ce)}catch(He){Ce=w5.parse(xc.baseFontSize+\"px \"+Ce)}else{var ie=Ce.style,Se=Ce.weight,ke=Ce.stretch,be=Ce.variant;Ce=w5.parse(w5.stringify(Ce)),ie&&(Ce.style=ie),Se&&(Ce.weight=Se),ke&&(Ce.stretch=ke),be&&(Ce.variant=be)}var Be=w5.stringify({size:xc.baseFontSize,family:Ce.family,stretch:Rz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style}),Le=fVt(Ce.size),me=Math.round(Le[0]*hVt(Le[1]));if(me!==r.fontSize[ge]&&(i=!0,r.fontSize[ge]=me),(!r.font[ge]||Be!=r.font[ge].baseString)&&(n=!0,r.font[ge]=xc.fonts[Be],!r.font[ge])){var Pe=Ce.family.join(\", \"),ce=[Ce.style];Ce.style!=Ce.variant&&ce.push(Ce.variant),Ce.variant!=Ce.weight&&ce.push(Ce.weight),Rz&&Ce.weight!=Ce.stretch&&ce.push(Ce.stretch),r.font[ge]={baseString:Be,family:Pe,weight:Ce.weight,stretch:Ce.stretch,style:Ce.style,variant:Ce.variant,width:{},kerning:{},metrics:pVt(Pe,{origin:\"top\",fontSize:xc.baseFontSize,fontStyle:ce.join(\" \")})},xc.fonts[Be]=r.font[ge]}}),(n||i)&&this.font.forEach(function(Ce,ge){var ie=w5.stringify({size:r.fontSize[ge],family:Ce.family,stretch:Rz?Ce.stretch:void 0,variant:Ce.variant,weight:Ce.weight,style:Ce.style});if(r.fontAtlas[ge]=r.shader.atlas[ie],!r.fontAtlas[ge]){var Se=Ce.metrics;r.shader.atlas[ie]=r.fontAtlas[ge]={fontString:ie,step:Math.ceil(r.fontSize[ge]*Se.bottom*.5)*2,em:r.fontSize[ge],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o<a.length;o++)a[o]=t.text;t.text=a}var s;if(t.text!=null||n){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var l=1;l<t.text.length;l++)this.textOffsets[l]=this.textOffsets[l-1]+t.text[l-1].length,this.count+=t.text[l].length,this.counts.push(t.text[l].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];s=[],this.font.forEach(function(Ce,ge){xc.atlasContext.font=Ce.baseString;for(var ie=r.fontAtlas[ge],Se=0;Se<r.text.length;Se++){var ke=r.text.charAt(Se);if(ie.ids[ke]==null&&(ie.ids[ke]=ie.chars.length,ie.chars.push(ke),s.push(ke)),Ce.width[ke]==null&&(Ce.width[ke]=xc.atlasContext.measureText(ke).width/xc.baseFontSize,r.kerning)){var be=[];for(var Be in Ce.width)be.push(Be+ke,ke+Be);vVt(Ce.kerning,dVt(Ce.family,{pairs:be}))}}})}if(t.position)if(t.position.length>2){for(var u=!t.position[0].length,c=Tx.mallocFloat(this.count*2),f=0,h=0;f<this.counts.length;f++){var d=this.counts[f];if(u)for(var v=0;v<d;v++)c[h++]=t.position[f*2],c[h++]=t.position[f*2+1];else for(var m=0;m<d;m++)c[h++]=t.position[f][0],c[h++]=t.position[f][1]}this.position.call?this.position({type:\"float\",data:c}):this.position=this.regl.buffer({type:\"float\",data:c}),Tx.freeFloat(c)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||n){var b=Tx.mallocUint8(this.count),p=Tx.mallocFloat(this.count*2);this.textWidth=[];for(var k=0,M=0;k<this.counts.length;k++){for(var T=this.counts[k],L=this.font[k]||this.font[0],x=this.fontAtlas[k]||this.fontAtlas[0],C=0;C<T;C++){var S=this.text.charAt(M),g=this.text.charAt(M-1);if(b[M]=x.ids[S],p[M*2]=L.width[S],C){var P=p[M*2-2],E=p[M*2],z=p[M*2-1],q=z+P*.5+E*.5;if(this.kerning){var V=L.kerning[g+S];V&&(q+=V*.001)}p[M*2+1]=q}else p[M*2+1]=p[M*2]*.5;M++}this.textWidth.push(p.length?p[M*2-2]*.5+p[M*2-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:b,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:p,type:\"float\",usage:\"stream\"}),Tx.freeUint8(b),Tx.freeFloat(p),s.length&&this.font.forEach(function(Ce,ge){var ie=r.fontAtlas[ge],Se=ie.step,ke=Math.floor(xc.maxAtlasSize/Se),be=Math.min(ke,ie.chars.length),Be=Math.ceil(ie.chars.length/be),Le=NBe(be*Se),me=NBe(Be*Se);ie.width=Le,ie.height=me,ie.rows=Be,ie.cols=be,ie.em&&ie.texture({data:lVt({canvas:xc.atlasCanvas,font:ie.fontString,chars:ie.chars,shape:[Le,me],step:[Se,Se]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(Ce,ge){var ie=Array.isArray(r.align)?r.align.length>1?r.align[ge]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-Ce;case\"center\":case\"centre\":case\"middle\":return-Ce*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(Ce,ge){var ie=(r.font[ge]||r.font[0]).metrics,Se=0;return Se+=ie.bottom*.5,typeof Ce==\"number\"?Se+=Ce-ie.baseline:Se+=-ie[Ce],Se*=-1,Se})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=_K(t.color,\"uint8\");else{var G;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var Z=t.color.length;G=Tx.mallocUint8(Z);for(var j=(t.color.subarray||t.color.slice).bind(t.color),N=0;N<Z;N+=4)G.set(_K(j(N,N+4),\"uint8\"),N)}else{var H=t.color.length;G=Tx.mallocUint8(H*4);for(var re=0;re<H;re++)G.set(_K(t.color[re]||0,\"uint8\"),re*4)}this.color=G}if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity){var ae=this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(ae){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Ee=0;Ee<this.batch.length;Ee++)this.batch[Ee]={count:this.counts.length>1?this.counts[Ee]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Ee]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Ee*4,Ee*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Ee]:this.opacity,baseline:this.baselineOffset[Ee]!=null?this.baselineOffset[Ee]:this.baselineOffset[0],align:this.align?this.alignOffset[Ee]!=null?this.alignOffset[Ee]:this.alignOffset[0]:0,atlas:this.fontAtlas[Ee]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Ee*2,Ee*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}};xc.prototype.destroy=function(){};xc.prototype.kerning=!0;xc.prototype.position={constant:new Float32Array(2)};xc.prototype.translate=null;xc.prototype.scale=null;xc.prototype.font=null;xc.prototype.text=\"\";xc.prototype.positionOffset=[0,0];xc.prototype.opacity=1;xc.prototype.color=new Uint8Array([0,0,0,255]);xc.prototype.alignOffset=[0,0];xc.maxAtlasSize=1024;xc.atlasCanvas=document.createElement(\"canvas\");xc.atlasContext=xc.atlasCanvas.getContext(\"2d\",{alpha:!1});xc.baseFontSize=64;xc.fonts={};function yVt(e){return typeof e==\"function\"&&e._gl&&e.prop&&e.texture&&e.buffer}VBe.exports=xc});var HBe=ye((xK,bK)=>{(function(e,t){typeof xK==\"object\"&&typeof 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si(ne,we){ne.internalformat=we.internalformat,ne.format=we.format,ne.type=we.type,ne.compressed=we.compressed,ne.premultiplyAlpha=we.premultiplyAlpha,ne.flipY=we.flipY,ne.unpackAlignment=we.unpackAlignment,ne.colorSpace=we.colorSpace,ne.width=we.width,ne.height=we.height,ne.channels=we.channels}function mn(ne,we){if(!(typeof we!=\"object\"||!we)){if(\"premultiplyAlpha\"in we&&(ne.premultiplyAlpha=we.premultiplyAlpha),\"flipY\"in we&&(ne.flipY=we.flipY),\"alignment\"in we&&(ne.unpackAlignment=we.alignment),\"colorSpace\"in we&&(ne.colorSpace=Vn[we.colorSpace]),\"type\"in we){var Oe=we.type;ne.type=Qi[Oe]}var ht=ne.width,Yt=ne.height,cr=ne.channels,Nt=!1;\"shape\"in we?(ht=we.shape[0],Yt=we.shape[1],we.shape.length===3&&(cr=we.shape[2],Nt=!0)):(\"radius\"in we&&(ht=Yt=we.radius),\"width\"in we&&(ht=we.width),\"height\"in we&&(Yt=we.height),\"channels\"in we&&(cr=we.channels,Nt=!0)),ne.width=ht|0,ne.height=Yt|0,ne.channels=cr|0;var Ne=!1;if(\"format\"in we){var 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we)&&ne.type===Ns&&(ne.type=Yc(Oe));else if(of(Oe))ne.channels=ne.channels||4,eh(ne,Oe),ne.alignment=1,ne.needsFree=!0;else if(jr(Oe)){var cr=Oe.data;!Array.isArray(cr)&&ne.type===Ns&&(ne.type=Yc(cr));var Nt=Oe.shape,Ne=Oe.stride,$e,st,It,Bt,Ft,Ut;Nt.length===3?(It=Nt[2],Ut=Ne[2]):(It=1,Ut=1),$e=Nt[0],st=Nt[1],Bt=Ne[0],Ft=Ne[1],ne.alignment=1,ne.width=$e,ne.height=st,ne.channels=It,ne.format=ne.internalformat=Hs[It],ne.needsFree=!0,jf(ne,cr,Bt,Ft,Ut,Oe.offset)}else if(Hf(Oe)||Ic(Oe)||yf(Oe))Hf(Oe)||Ic(Oe)?ne.element=Oe:ne.element=Oe.canvas,ne.width=ne.element.width,ne.height=ne.element.height,ne.channels=4;else if(Ol(Oe))ne.element=Oe,ne.width=Oe.width,ne.height=Oe.height,ne.channels=4;else if(Ah(Oe))ne.element=Oe,ne.width=Oe.naturalWidth,ne.height=Oe.naturalHeight,ne.channels=4;else if(Qf(Oe))ne.element=Oe,ne.width=Oe.videoWidth,ne.height=Oe.videoHeight,ne.channels=4;else if(Hu(Oe)){var zt=ne.width||Oe[0].length,_t=ne.height||Oe.length,Dt=ne.channels;En(Oe[0][0])?Dt=Dt||Oe[0][0].length:Dt=Dt||1;for(var vt=Ge.shape(Oe),lr=1,_r=0;_r<vt.length;++_r)lr*=vt[_r];var Br=th(ne,lr);Ge.flatten(Oe,vt,\"\",Br),ju(ne,Br),ne.alignment=1,ne.width=zt,ne.height=_t,ne.channels=Dt,ne.format=ne.internalformat=Hs[Dt],ne.needsFree=!0}ne.type===oa||ne.type}function pn(ne,we,Oe){var ht=ne.element,Yt=ne.data,cr=ne.internalformat,Nt=ne.format,Ne=ne.type,$e=ne.width,st=ne.height;Ji(ne),ht?Me.texImage2D(we,Oe,Nt,Nt,Ne,ht):ne.compressed?Me.compressedTexImage2D(we,Oe,cr,$e,st,0,Yt):ne.needsCopy?(Lr(),Me.copyTexImage2D(we,Oe,Nt,ne.xOffset,ne.yOffset,$e,st,0)):Me.texImage2D(we,Oe,Nt,$e,st,0,Nt,Ne,Yt||null)}function Nn(ne,we,Oe,ht,Yt){var cr=ne.element,Nt=ne.data,Ne=ne.internalformat,$e=ne.format,st=ne.type,It=ne.width,Bt=ne.height;Ji(ne),cr?Me.texSubImage2D(we,Yt,Oe,ht,$e,st,cr):ne.compressed?Me.compressedTexSubImage2D(we,Yt,Oe,ht,Ne,It,Bt,Nt):ne.needsCopy?(Lr(),Me.copyTexSubImage2D(we,Yt,Oe,ht,ne.xOffset,ne.yOffset,It,Bt)):Me.texSubImage2D(we,Yt,Oe,ht,It,Bt,$e,st,Nt)}var aa=[];function Ki(){return aa.pop()||new Ui}function Cn(ne){ne.needsFree&&H.freeType(ne.data),Ui.call(ne),aa.push(ne)}function ia(){fi.call(this),this.genMipmaps=!1,this.mipmapHint=sc,this.mipmask=0,this.images=Array(16)}function sa(ne,we,Oe){var ht=ne.images[0]=Ki();ne.mipmask=1,ht.width=ne.width=we,ht.height=ne.height=Oe,ht.channels=ne.channels=4}function ba(ne,we){var Oe=null;if(_f(we))Oe=ne.images[0]=Ki(),si(Oe,ne),Bi(Oe,we),ne.mipmask=1;else if(mn(ne,we),Array.isArray(we.mipmap))for(var ht=we.mipmap,Yt=0;Yt<ht.length;++Yt)Oe=ne.images[Yt]=Ki(),si(Oe,ne),Oe.width>>=Yt,Oe.height>>=Yt,Bi(Oe,ht[Yt]),ne.mipmask|=1<<Yt;else Oe=ne.images[0]=Ki(),si(Oe,ne),Bi(Oe,we),ne.mipmask=1;si(ne,ne.images[0]),ne.compressed&&(ne.internalformat===Io||ne.internalformat===ls||ne.internalformat===Yl||ne.internalformat)}function is(ne,we){for(var Oe=ne.images,ht=0;ht<Oe.length;++ht){if(!Oe[ht])return;pn(Oe[ht],we,ht)}}var Zs=[];function Ga(){var ne=Zs.pop()||new ia;fi.call(ne),ne.mipmask=0;for(var we=0;we<16;++we)ne.images[we]=null;return ne}function El(ne){for(var we=ne.images,Oe=0;Oe<we.length;++Oe)we[Oe]&&Cn(we[Oe]),we[Oe]=null;Zs.push(ne)}function zo(){this.minFilter=pl,this.magFilter=pl,this.wrapS=Pc,this.wrapT=Pc,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=sc}function Qs(ne,we){if(\"min\"in we){var Oe=we.min;ne.minFilter=Si[Oe],Es.indexOf(ne.minFilter)>=0&&!(\"faces\"in we)&&(ne.genMipmaps=!0)}if(\"mag\"in we){var ht=we.mag;ne.magFilter=qi[ht]}var Yt=ne.wrapS,cr=ne.wrapT;if(\"wrap\"in we){var Nt=we.wrap;typeof Nt==\"string\"?Yt=cr=Ni[Nt]:Array.isArray(Nt)&&(Yt=Ni[Nt[0]],cr=Ni[Nt[1]])}else{if(\"wrapS\"in we){var Ne=we.wrapS;Yt=Ni[Ne]}if(\"wrapT\"in we){var $e=we.wrapT;cr=Ni[$e]}}if(ne.wrapS=Yt,ne.wrapT=cr,\"anisotropic\"in we){var st=we.anisotropic;ne.anisotropic=we.anisotropic}if(\"mipmap\"in we){var It=!1;switch(typeof we.mipmap){case\"string\":ne.mipmapHint=vi[we.mipmap],ne.genMipmaps=!0,It=!0;break;case\"boolean\":It=ne.genMipmaps=we.mipmap;break;case\"object\":ne.genMipmaps=!1,It=!0;break;default:}It&&!(\"min\"in we)&&(ne.minFilter=Jl)}}function nl(ne,we){Me.texParameteri(we,Vf,ne.minFilter),Me.texParameteri(we,nf,ne.magFilter),Me.texParameteri(we,qo,ne.wrapS),Me.texParameteri(we,Oo,ne.wrapT),bt.ext_texture_filter_anisotropic&&Me.texParameteri(we,cs,ne.anisotropic),ne.genMipmaps&&(Me.hint(Cf,ne.mipmapHint),Me.generateMipmap(we))}var Ul=0,ss={},Vs=Ot.maxTextureUnits,Ys=Array(Vs).map(function(){return null});function wa(ne){fi.call(this),this.mipmask=0,this.internalformat=Ma,this.id=Ul++,this.refCount=1,this.target=ne,this.texture=Me.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new zo,Nr.profile&&(this.stats={size:0})}function al(ne){Me.activeTexture(Fu),Me.bindTexture(ne.target,ne.texture)}function io(){var ne=Ys[0];ne?Me.bindTexture(ne.target,ne.texture):Me.bindTexture(_n,null)}function Y(ne){var we=ne.texture,Oe=ne.unit,ht=ne.target;Oe>=0&&(Me.activeTexture(Fu+Oe),Me.bindTexture(ht,null),Ys[Oe]=null),Me.deleteTexture(we),ne.texture=null,ne.params=null,ne.pixels=null,ne.refCount=0,delete ss[ne.id],Or.textureCount--}e(wa.prototype,{bind:function(){var ne=this;ne.bindCount+=1;var we=ne.unit;if(we<0){for(var Oe=0;Oe<Vs;++Oe){var ht=Ys[Oe];if(ht){if(ht.bindCount>0)continue;ht.unit=-1}Ys[Oe]=ne,we=Oe;break}we>=Vs,Nr.profile&&Or.maxTextureUnits<we+1&&(Or.maxTextureUnits=we+1),ne.unit=we,Me.activeTexture(Fu+we),Me.bindTexture(ne.target,ne.texture)}return we},unbind:function(){this.bindCount-=1},decRef:function(){--this.refCount<=0&&Y(this)}});function D(ne,we){var Oe=new wa(_n);ss[Oe.id]=Oe,Or.textureCount++;function ht(Nt,Ne){var $e=Oe.texInfo;zo.call($e);var st=Ga();return typeof Nt==\"number\"?typeof Ne==\"number\"?sa(st,Nt|0,Ne|0):sa(st,Nt|0,Nt|0):Nt?(Qs($e,Nt),ba(st,Nt)):sa(st,1,1),$e.genMipmaps&&(st.mipmask=(st.width<<1)-1),Oe.mipmask=st.mipmask,si(Oe,st),Oe.internalformat=st.internalformat,ht.width=st.width,ht.height=st.height,al(Oe),is(st,_n),nl($e,_n),io(),El(st),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,st.width,st.height,$e.genMipmaps,!1)),ht.format=yi[Oe.internalformat],ht.type=Ii[Oe.type],ht.mag=ui[$e.magFilter],ht.min=nn[$e.minFilter],ht.wrapS=Zi[$e.wrapS],ht.wrapT=Zi[$e.wrapT],ht}function Yt(Nt,Ne,$e,st){var It=Ne|0,Bt=$e|0,Ft=st|0,Ut=Ki();return si(Ut,Oe),Ut.width=0,Ut.height=0,Bi(Ut,Nt),Ut.width=Ut.width||(Oe.width>>Ft)-It,Ut.height=Ut.height||(Oe.height>>Ft)-Bt,al(Oe),Nn(Ut,_n,It,Bt,Ft),io(),Cn(Ut),ht}function cr(Nt,Ne){var $e=Nt|0,st=Ne|0||$e;if($e===Oe.width&&st===Oe.height)return ht;ht.width=Oe.width=$e,ht.height=Oe.height=st,al(Oe);for(var It=0;Oe.mipmask>>It;++It){var Bt=$e>>It,Ft=st>>It;if(!Bt||!Ft)break;Me.texImage2D(_n,It,Oe.format,Bt,Ft,0,Oe.format,Oe.type,null)}return io(),Nr.profile&&(Oe.stats.size=cc(Oe.internalformat,Oe.type,$e,st,!1,!1)),ht}return ht(ne,we),ht.subimage=Yt,ht.resize=cr,ht._reglType=\"texture2d\",ht._texture=Oe,Nr.profile&&(ht.stats=Oe.stats),ht.destroy=function(){Oe.decRef()},ht}function J(ne,we,Oe,ht,Yt,cr){var Nt=new wa(ya);ss[Nt.id]=Nt,Or.cubeCount++;var Ne=new Array(6);function $e(Bt,Ft,Ut,zt,_t,Dt){var vt,lr=Nt.texInfo;for(zo.call(lr),vt=0;vt<6;++vt)Ne[vt]=Ga();if(typeof Bt==\"number\"||!Bt){var _r=Bt|0||1;for(vt=0;vt<6;++vt)sa(Ne[vt],_r,_r)}else if(typeof Bt==\"object\")if(Ft)ba(Ne[0],Bt),ba(Ne[1],Ft),ba(Ne[2],Ut),ba(Ne[3],zt),ba(Ne[4],_t),ba(Ne[5],Dt);else if(Qs(lr,Bt),mn(Nt,Bt),\"faces\"in Bt){var Br=Bt.faces;for(vt=0;vt<6;++vt)si(Ne[vt],Nt),ba(Ne[vt],Br[vt])}else for(vt=0;vt<6;++vt)ba(Ne[vt],Bt);for(si(Nt,Ne[0]),lr.genMipmaps?Nt.mipmask=(Ne[0].width<<1)-1:Nt.mipmask=Ne[0].mipmask,Nt.internalformat=Ne[0].internalformat,$e.width=Ne[0].width,$e.height=Ne[0].height,al(Nt),vt=0;vt<6;++vt)is(Ne[vt],ea+vt);for(nl(lr,ya),io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,lr.genMipmaps,!0)),$e.format=yi[Nt.internalformat],$e.type=Ii[Nt.type],$e.mag=ui[lr.magFilter],$e.min=nn[lr.minFilter],$e.wrapS=Zi[lr.wrapS],$e.wrapT=Zi[lr.wrapT],vt=0;vt<6;++vt)El(Ne[vt]);return $e}function st(Bt,Ft,Ut,zt,_t){var Dt=Ut|0,vt=zt|0,lr=_t|0,_r=Ki();return si(_r,Nt),_r.width=0,_r.height=0,Bi(_r,Ft),_r.width=_r.width||(Nt.width>>lr)-Dt,_r.height=_r.height||(Nt.height>>lr)-vt,al(Nt),Nn(_r,ea+Bt,Dt,vt,lr),io(),Cn(_r),$e}function It(Bt){var Ft=Bt|0;if(Ft!==Nt.width){$e.width=Nt.width=Ft,$e.height=Nt.height=Ft,al(Nt);for(var Ut=0;Ut<6;++Ut)for(var zt=0;Nt.mipmask>>zt;++zt)Me.texImage2D(ea+Ut,zt,Nt.format,Ft>>zt,Ft>>zt,0,Nt.format,Nt.type,null);return io(),Nr.profile&&(Nt.stats.size=cc(Nt.internalformat,Nt.type,$e.width,$e.height,!1,!0)),$e}}return $e(ne,we,Oe,ht,Yt,cr),$e.subimage=st,$e.resize=It,$e._reglType=\"textureCube\",$e._texture=Nt,Nr.profile&&($e.stats=Nt.stats),$e.destroy=function(){Nt.decRef()},$e}function O(){for(var ne=0;ne<Vs;++ne)Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Ys[ne]=null;gt(ss).forEach(Y),Or.cubeCount=0,Or.textureCount=0}Nr.profile&&(Or.getTotalTextureSize=function(){var ne=0;return Object.keys(ss).forEach(function(we){ne+=ss[we].stats.size}),ne});function K(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null)}gt(ss).forEach(function(Oe){Oe.texture=Me.createTexture(),Me.bindTexture(Oe.target,Oe.texture);for(var ht=0;ht<32;++ht)if((Oe.mipmask&1<<ht)!==0)if(Oe.target===_n)Me.texImage2D(_n,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);else for(var Yt=0;Yt<6;++Yt)Me.texImage2D(ea+Yt,ht,Oe.internalformat,Oe.width>>ht,Oe.height>>ht,0,Oe.internalformat,Oe.type,null);nl(Oe.texInfo,Oe.target)})}function de(){for(var ne=0;ne<Vs;++ne){var we=Ys[ne];we&&(we.bindCount=0,we.unit=-1,Ys[ne]=null),Me.activeTexture(Fu+ne),Me.bindTexture(_n,null),Me.bindTexture(ya,null)}}return{create2D:D,createCube:J,clear:O,getTexture:function(ne){return null},restore:K,refresh:de}}var Bl=36161,Kc=32854,Rc=32855,gs=36194,Wf=33189,Wh=36168,rh=34041,lf=35907,Sh=34836,Mu=34842,ih=34843,js=[];js[Kc]=2,js[Rc]=2,js[gs]=2,js[Wf]=2,js[Wh]=1,js[rh]=4,js[lf]=4,js[Sh]=16,js[Mu]=8,js[ih]=6;function Eu(Me,bt,Ot){return js[Me]*bt*Ot}var Dc=function(Me,bt,Ot,Lr,Vr){var Or={rgba4:Kc,rgb565:gs,\"rgb5 a1\":Rc,depth:Wf,stencil:Wh,\"depth stencil\":rh};bt.ext_srgb&&(Or.srgba=lf),bt.ext_color_buffer_half_float&&(Or.rgba16f=Mu,Or.rgb16f=ih),bt.webgl_color_buffer_float&&(Or.rgba32f=Sh);var Nr=[];Object.keys(Or).forEach(function(Wi){var oi=Or[Wi];Nr[oi]=Wi});var vi=0,Ni={};function qi(Wi){this.id=vi++,this.refCount=1,this.renderbuffer=Wi,this.format=Kc,this.width=0,this.height=0,Vr.profile&&(this.stats={size:0})}qi.prototype.decRef=function(){--this.refCount<=0&&Si(this)};function Si(Wi){var oi=Wi.renderbuffer;Me.bindRenderbuffer(Bl,null),Me.deleteRenderbuffer(oi),Wi.renderbuffer=null,Wi.refCount=0,delete Ni[Wi.id],Lr.renderbufferCount--}function Vn(Wi,oi){var Tr=new qi(Me.createRenderbuffer());Ni[Tr.id]=Tr,Lr.renderbufferCount++;function Zr(Ii,ui){var nn=0,Zi=0,qn=Kc;if(typeof Ii==\"object\"&&Ii){var fi=Ii;if(\"shape\"in fi){var si=fi.shape;nn=si[0]|0,Zi=si[1]|0}else\"radius\"in fi&&(nn=Zi=fi.radius|0),\"width\"in fi&&(nn=fi.width|0),\"height\"in fi&&(Zi=fi.height|0);\"format\"in fi&&(qn=Or[fi.format])}else typeof Ii==\"number\"?(nn=Ii|0,typeof ui==\"number\"?Zi=ui|0:Zi=nn):Ii||(nn=Zi=1);if(!(nn===Tr.width&&Zi===Tr.height&&qn===Tr.format))return Zr.width=Tr.width=nn,Zr.height=Tr.height=Zi,Tr.format=qn,Me.bindRenderbuffer(Bl,Tr.renderbuffer),Me.renderbufferStorage(Bl,qn,nn,Zi),Vr.profile&&(Tr.stats.size=Eu(Tr.format,Tr.width,Tr.height)),Zr.format=Nr[Tr.format],Zr}function yi(Ii,ui){var nn=Ii|0,Zi=ui|0||nn;return nn===Tr.width&&Zi===Tr.height||(Zr.width=Tr.width=nn,Zr.height=Tr.height=Zi,Me.bindRenderbuffer(Bl,Tr.renderbuffer),Me.renderbufferStorage(Bl,Tr.format,nn,Zi),Vr.profile&&(Tr.stats.size=Eu(Tr.format,Tr.width,Tr.height))),Zr}return Zr(Wi,oi),Zr.resize=yi,Zr._reglType=\"renderbuffer\",Zr._renderbuffer=Tr,Vr.profile&&(Zr.stats=Tr.stats),Zr.destroy=function(){Tr.decRef()},Zr}Vr.profile&&(Lr.getTotalRenderbufferSize=function(){var Wi=0;return Object.keys(Ni).forEach(function(oi){Wi+=Ni[oi].stats.size}),Wi});function Qi(){gt(Ni).forEach(function(Wi){Wi.renderbuffer=Me.createRenderbuffer(),Me.bindRenderbuffer(Bl,Wi.renderbuffer),Me.renderbufferStorage(Bl,Wi.format,Wi.width,Wi.height)}),Me.bindRenderbuffer(Bl,null)}return{create:Vn,clear:function(){gt(Ni).forEach(Si)},restore:Qi}},ks=36160,bc=36161,hu=3553,_u=34069,il=36064,nh=36096,Mh=36128,zu=33306,Fc=36053,wc=36193,bd=5121,xf=5126,Pf=6407,qu=6408,bf=[];bf[qu]=4,bf[Pf]=3;var jl=[];jl[bd]=1,jl[xf]=4,jl[wc]=2;function uf(Me,bt,Ot,Lr,Vr,Or){var Nr={cur:null,next:null,dirty:!1,setFBO:null},vi=[\"rgba\"],Ni=[\"rgba4\",\"rgb565\",\"rgb5 a1\"];bt.ext_srgb&&Ni.push(\"srgba\"),bt.ext_color_buffer_half_float&&Ni.push(\"rgba16f\",\"rgb16f\"),bt.webgl_color_buffer_float&&Ni.push(\"rgba32f\");var qi=[\"uint8\"];bt.oes_texture_half_float&&qi.push(\"half float\",\"float16\"),bt.oes_texture_float&&qi.push(\"float\",\"float32\");function Si(Ui,Bi,pn){this.target=Ui,this.texture=Bi,this.renderbuffer=pn;var Nn=0,aa=0;Bi?(Nn=Bi.width,aa=Bi.height):pn&&(Nn=pn.width,aa=pn.height),this.width=Nn,this.height=aa}function Vn(Ui){Ui&&(Ui.texture&&Ui.texture._texture.decRef(),Ui.renderbuffer&&Ui.renderbuffer._renderbuffer.decRef())}function Qi(Ui,Bi,pn){if(Ui)if(Ui.texture){var Nn=Ui.texture._texture,aa=Math.max(1,Nn.width),Ki=Math.max(1,Nn.height);Nn.refCount+=1}else{var Cn=Ui.renderbuffer._renderbuffer;Cn.refCount+=1}}function Wi(Ui,Bi){Bi&&(Bi.texture?Me.framebufferTexture2D(ks,Ui,Bi.target,Bi.texture._texture.texture,0):Me.framebufferRenderbuffer(ks,Ui,bc,Bi.renderbuffer._renderbuffer.renderbuffer))}function oi(Ui){var Bi=hu,pn=null,Nn=null,aa=Ui;typeof Ui==\"object\"&&(aa=Ui.data,\"target\"in Ui&&(Bi=Ui.target|0));var Ki=aa._reglType;return Ki===\"texture2d\"||Ki===\"textureCube\"?pn=aa:Ki===\"renderbuffer\"&&(Nn=aa,Bi=bc),new Si(Bi,pn,Nn)}function Tr(Ui,Bi,pn,Nn,aa){if(pn){var Ki=Lr.create2D({width:Ui,height:Bi,format:Nn,type:aa});return Ki._texture.refCount=0,new Si(hu,Ki,null)}else{var Cn=Vr.create({width:Ui,height:Bi,format:Nn});return Cn._renderbuffer.refCount=0,new Si(bc,null,Cn)}}function Zr(Ui){return Ui&&(Ui.texture||Ui.renderbuffer)}function yi(Ui,Bi,pn){Ui&&(Ui.texture?Ui.texture.resize(Bi,pn):Ui.renderbuffer&&Ui.renderbuffer.resize(Bi,pn),Ui.width=Bi,Ui.height=pn)}var Ii=0,ui={};function nn(){this.id=Ii++,ui[this.id]=this,this.framebuffer=Me.createFramebuffer(),this.width=0,this.height=0,this.colorAttachments=[],this.depthAttachment=null,this.stencilAttachment=null,this.depthStencilAttachment=null}function Zi(Ui){Ui.colorAttachments.forEach(Vn),Vn(Ui.depthAttachment),Vn(Ui.stencilAttachment),Vn(Ui.depthStencilAttachment)}function qn(Ui){var Bi=Ui.framebuffer;Me.deleteFramebuffer(Bi),Ui.framebuffer=null,Or.framebufferCount--,delete ui[Ui.id]}function fi(Ui){var Bi;Me.bindFramebuffer(ks,Ui.framebuffer);var pn=Ui.colorAttachments;for(Bi=0;Bi<pn.length;++Bi)Wi(il+Bi,pn[Bi]);for(Bi=pn.length;Bi<Ot.maxColorAttachments;++Bi)Me.framebufferTexture2D(ks,il+Bi,hu,null,0);Me.framebufferTexture2D(ks,zu,hu,null,0),Me.framebufferTexture2D(ks,nh,hu,null,0),Me.framebufferTexture2D(ks,Mh,hu,null,0),Wi(nh,Ui.depthAttachment),Wi(Mh,Ui.stencilAttachment),Wi(zu,Ui.depthStencilAttachment);var Nn=Me.checkFramebufferStatus(ks);Me.isContextLost(),Me.bindFramebuffer(ks,Nr.next?Nr.next.framebuffer:null),Nr.cur=Nr.next,Me.getError()}function si(Ui,Bi){var pn=new nn;Or.framebufferCount++;function Nn(Ki,Cn){var ia,sa=0,ba=0,is=!0,Zs=!0,Ga=null,El=!0,zo=\"rgba\",Qs=\"uint8\",nl=1,Ul=null,ss=null,Vs=null,Ys=!1;if(typeof Ki==\"number\")sa=Ki|0,ba=Cn|0||sa;else if(!Ki)sa=ba=1;else{var wa=Ki;if(\"shape\"in wa){var al=wa.shape;sa=al[0],ba=al[1]}else\"radius\"in wa&&(sa=ba=wa.radius),\"width\"in wa&&(sa=wa.width),\"height\"in wa&&(ba=wa.height);(\"color\"in wa||\"colors\"in wa)&&(Ga=wa.color||wa.colors,Array.isArray(Ga)),Ga||(\"colorCount\"in wa&&(nl=wa.colorCount|0),\"colorTexture\"in wa&&(El=!!wa.colorTexture,zo=\"rgba4\"),\"colorType\"in wa&&(Qs=wa.colorType,El||(Qs===\"half float\"||Qs===\"float16\"?zo=\"rgba16f\":(Qs===\"float\"||Qs===\"float32\")&&(zo=\"rgba32f\"))),\"colorFormat\"in wa&&(zo=wa.colorFormat,vi.indexOf(zo)>=0?El=!0:Ni.indexOf(zo)>=0&&(El=!1))),(\"depthTexture\"in wa||\"depthStencilTexture\"in wa)&&(Ys=!!(wa.depthTexture||wa.depthStencilTexture)),\"depth\"in wa&&(typeof wa.depth==\"boolean\"?is=wa.depth:(Ul=wa.depth,Zs=!1)),\"stencil\"in wa&&(typeof wa.stencil==\"boolean\"?Zs=wa.stencil:(ss=wa.stencil,is=!1)),\"depthStencil\"in wa&&(typeof wa.depthStencil==\"boolean\"?is=Zs=wa.depthStencil:(Vs=wa.depthStencil,is=!1,Zs=!1))}var io=null,Y=null,D=null,J=null;if(Array.isArray(Ga))io=Ga.map(oi);else if(Ga)io=[oi(Ga)];else for(io=new Array(nl),ia=0;ia<nl;++ia)io[ia]=Tr(sa,ba,El,zo,Qs);sa=sa||io[0].width,ba=ba||io[0].height,Ul?Y=oi(Ul):is&&!Zs&&(Y=Tr(sa,ba,Ys,\"depth\",\"uint32\")),ss?D=oi(ss):Zs&&!is&&(D=Tr(sa,ba,!1,\"stencil\",\"uint8\")),Vs?J=oi(Vs):!Ul&&!ss&&Zs&&is&&(J=Tr(sa,ba,Ys,\"depth stencil\",\"depth stencil\"));var O=null;for(ia=0;ia<io.length;++ia)if(Qi(io[ia],sa,ba),io[ia]&&io[ia].texture){var K=bf[io[ia].texture._texture.format]*jl[io[ia].texture._texture.type];O===null&&(O=K)}return Qi(Y,sa,ba),Qi(D,sa,ba),Qi(J,sa,ba),Zi(pn),pn.width=sa,pn.height=ba,pn.colorAttachments=io,pn.depthAttachment=Y,pn.stencilAttachment=D,pn.depthStencilAttachment=J,Nn.color=io.map(Zr),Nn.depth=Zr(Y),Nn.stencil=Zr(D),Nn.depthStencil=Zr(J),Nn.width=pn.width,Nn.height=pn.height,fi(pn),Nn}function aa(Ki,Cn){var ia=Math.max(Ki|0,1),sa=Math.max(Cn|0||ia,1);if(ia===pn.width&&sa===pn.height)return Nn;for(var ba=pn.colorAttachments,is=0;is<ba.length;++is)yi(ba[is],ia,sa);return yi(pn.depthAttachment,ia,sa),yi(pn.stencilAttachment,ia,sa),yi(pn.depthStencilAttachment,ia,sa),pn.width=Nn.width=ia,pn.height=Nn.height=sa,fi(pn),Nn}return Nn(Ui,Bi),e(Nn,{resize:aa,_reglType:\"framebuffer\",_framebuffer:pn,destroy:function(){qn(pn),Zi(pn)},use:function(Ki){Nr.setFBO({framebuffer:Nn},Ki)}})}function mn(Ui){var Bi=Array(6);function pn(aa){var Ki,Cn={color:null},ia=0,sa=null,ba=\"rgba\",is=\"uint8\",Zs=1;if(typeof aa==\"number\")ia=aa|0;else if(!aa)ia=1;else{var Ga=aa;if(\"shape\"in Ga){var El=Ga.shape;ia=El[0]}else\"radius\"in Ga&&(ia=Ga.radius|0),\"width\"in Ga?(ia=Ga.width|0,\"height\"in Ga):\"height\"in Ga&&(ia=Ga.height|0);(\"color\"in Ga||\"colors\"in Ga)&&(sa=Ga.color||Ga.colors,Array.isArray(sa)),sa||(\"colorCount\"in Ga&&(Zs=Ga.colorCount|0),\"colorType\"in Ga&&(is=Ga.colorType),\"colorFormat\"in Ga&&(ba=Ga.colorFormat)),\"depth\"in Ga&&(Cn.depth=Ga.depth),\"stencil\"in Ga&&(Cn.stencil=Ga.stencil),\"depthStencil\"in Ga&&(Cn.depthStencil=Ga.depthStencil)}var zo;if(sa)if(Array.isArray(sa))for(zo=[],Ki=0;Ki<sa.length;++Ki)zo[Ki]=sa[Ki];else zo=[sa];else{zo=Array(Zs);var Qs={radius:ia,format:ba,type:is};for(Ki=0;Ki<Zs;++Ki)zo[Ki]=Lr.createCube(Qs)}for(Cn.color=Array(zo.length),Ki=0;Ki<zo.length;++Ki){var nl=zo[Ki];ia=ia||nl.width,Cn.color[Ki]={target:_u,data:zo[Ki]}}for(Ki=0;Ki<6;++Ki){for(var Ul=0;Ul<zo.length;++Ul)Cn.color[Ul].target=_u+Ki;Ki>0&&(Cn.depth=Bi[0].depth,Cn.stencil=Bi[0].stencil,Cn.depthStencil=Bi[0].depthStencil),Bi[Ki]?Bi[Ki](Cn):Bi[Ki]=si(Cn)}return e(pn,{width:ia,height:ia,color:zo})}function Nn(aa){var Ki,Cn=aa|0;if(Cn===pn.width)return pn;var ia=pn.color;for(Ki=0;Ki<ia.length;++Ki)ia[Ki].resize(Cn);for(Ki=0;Ki<6;++Ki)Bi[Ki].resize(Cn);return pn.width=pn.height=Cn,pn}return pn(Ui),e(pn,{faces:Bi,resize:Nn,_reglType:\"framebufferCube\",destroy:function(){Bi.forEach(function(aa){aa.destroy()})}})}function Ji(){Nr.cur=null,Nr.next=null,Nr.dirty=!0,gt(ui).forEach(function(Ui){Ui.framebuffer=Me.createFramebuffer(),fi(Ui)})}return e(Nr,{getFramebuffer:function(Ui){if(typeof Ui==\"function\"&&Ui._reglType===\"framebuffer\"){var Bi=Ui._framebuffer;if(Bi instanceof nn)return Bi}return null},create:si,createCube:mn,clear:function(){gt(ui).forEach(qn)},restore:Ji})}var Xh=5126,If=34962,Cs=34963;function du(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=Xh,this.offset=0,this.stride=0,this.divisor=0}function ku(Me,bt,Ot,Lr,Vr,Or,Nr){for(var vi=Ot.maxAttributes,Ni=new Array(vi),qi=0;qi<vi;++qi)Ni[qi]=new du;var Si=0,Vn={},Qi={Record:du,scope:{},state:Ni,currentVAO:null,targetVAO:null,restore:oi()?Zi:function(){},createVAO:qn,getVAO:Zr,destroyBuffer:Wi,setVAO:oi()?yi:Ii,clear:oi()?ui:function(){}};function Wi(fi){for(var si=0;si<Ni.length;++si){var mn=Ni[si];mn.buffer===fi&&(Me.disableVertexAttribArray(si),mn.buffer=null)}}function oi(){return bt.oes_vertex_array_object}function Tr(){return bt.angle_instanced_arrays}function Zr(fi){return typeof fi==\"function\"&&fi._vao?fi._vao:null}function yi(fi){if(fi!==Qi.currentVAO){var si=oi();fi?si.bindVertexArrayOES(fi.vao):si.bindVertexArrayOES(null),Qi.currentVAO=fi}}function Ii(fi){if(fi!==Qi.currentVAO){if(fi)fi.bindAttrs();else{for(var si=Tr(),mn=0;mn<Ni.length;++mn){var Ji=Ni[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Ji.buffer.bind(),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offfset),si&&Ji.divisor&&si.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}Nr.elements?Me.bindBuffer(Cs,Nr.elements.buffer.buffer):Me.bindBuffer(Cs,null)}Qi.currentVAO=fi}}function ui(){gt(Vn).forEach(function(fi){fi.destroy()})}function nn(){this.id=++Si,this.attributes=[],this.elements=null,this.ownsElements=!1,this.count=0,this.offset=0,this.instances=-1,this.primitive=4;var fi=oi();fi?this.vao=fi.createVertexArrayOES():this.vao=null,Vn[this.id]=this,this.buffers=[]}nn.prototype.bindAttrs=function(){for(var fi=Tr(),si=this.attributes,mn=0;mn<si.length;++mn){var Ji=si[mn];Ji.buffer?(Me.enableVertexAttribArray(mn),Me.bindBuffer(If,Ji.buffer.buffer),Me.vertexAttribPointer(mn,Ji.size,Ji.type,Ji.normalized,Ji.stride,Ji.offset),fi&&Ji.divisor&&fi.vertexAttribDivisorANGLE(mn,Ji.divisor)):(Me.disableVertexAttribArray(mn),Me.vertexAttrib4f(mn,Ji.x,Ji.y,Ji.z,Ji.w))}for(var Ui=si.length;Ui<vi;++Ui)Me.disableVertexAttribArray(Ui);var Bi=Or.getElements(this.elements);Bi?Me.bindBuffer(Cs,Bi.buffer.buffer):Me.bindBuffer(Cs,null)},nn.prototype.refresh=function(){var fi=oi();fi&&(fi.bindVertexArrayOES(this.vao),this.bindAttrs(),Qi.currentVAO=null,fi.bindVertexArrayOES(null))},nn.prototype.destroy=function(){if(this.vao){var fi=oi();this===Qi.currentVAO&&(Qi.currentVAO=null,fi.bindVertexArrayOES(null)),fi.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),Vn[this.id]&&(delete Vn[this.id],Lr.vaoCount-=1)};function Zi(){var fi=oi();fi&&gt(Vn).forEach(function(si){si.refresh()})}function qn(fi){var si=new nn;Lr.vaoCount+=1;function mn(Ji){var Ui;if(Array.isArray(Ji))Ui=Ji,si.elements&&si.ownsElements&&si.elements.destroy(),si.elements=null,si.ownsElements=!1,si.offset=0,si.count=0,si.instances=-1,si.primitive=4;else{if(Ji.elements){var Bi=Ji.elements;si.ownsElements?typeof Bi==\"function\"&&Bi._reglType===\"elements\"?(si.elements.destroy(),si.ownsElements=!1):(si.elements(Bi),si.ownsElements=!1):Or.getElements(Ji.elements)?(si.elements=Ji.elements,si.ownsElements=!1):(si.elements=Or.create(Ji.elements),si.ownsElements=!0)}else si.elements=null,si.ownsElements=!1;Ui=Ji.attributes,si.offset=0,si.count=-1,si.instances=-1,si.primitive=4,si.elements&&(si.count=si.elements._elements.vertCount,si.primitive=si.elements._elements.primType),\"offset\"in Ji&&(si.offset=Ji.offset|0),\"count\"in Ji&&(si.count=Ji.count|0),\"instances\"in Ji&&(si.instances=Ji.instances|0),\"primitive\"in Ji&&(si.primitive=Mn[Ji.primitive])}var pn={},Nn=si.attributes;Nn.length=Ui.length;for(var aa=0;aa<Ui.length;++aa){var Ki=Ui[aa],Cn=Nn[aa]=new du,ia=Ki.data||Ki;if(Array.isArray(ia)||qr(ia)||jr(ia)){var sa;si.buffers[aa]&&(sa=si.buffers[aa],qr(ia)&&sa._buffer.byteLength>=ia.byteLength?sa.subdata(ia):(sa.destroy(),si.buffers[aa]=null)),si.buffers[aa]||(sa=si.buffers[aa]=Vr.create(Ki,If,!1,!0)),Cn.buffer=Vr.getBuffer(sa),Cn.size=Cn.buffer.dimension|0,Cn.normalized=!1,Cn.type=Cn.buffer.dtype,Cn.offset=0,Cn.stride=0,Cn.divisor=0,Cn.state=1,pn[aa]=1}else Vr.getBuffer(Ki)?(Cn.buffer=Vr.getBuffer(Ki),Cn.size=Cn.buffer.dimension|0,Cn.normalized=!1,Cn.type=Cn.buffer.dtype,Cn.offset=0,Cn.stride=0,Cn.divisor=0,Cn.state=1):Vr.getBuffer(Ki.buffer)?(Cn.buffer=Vr.getBuffer(Ki.buffer),Cn.size=(+Ki.size||Cn.buffer.dimension)|0,Cn.normalized=!!Ki.normalized||!1,\"type\"in Ki?Cn.type=un[Ki.type]:Cn.type=Cn.buffer.dtype,Cn.offset=(Ki.offset||0)|0,Cn.stride=(Ki.stride||0)|0,Cn.divisor=(Ki.divisor||0)|0,Cn.state=1):\"x\"in Ki&&(Cn.x=+Ki.x||0,Cn.y=+Ki.y||0,Cn.z=+Ki.z||0,Cn.w=+Ki.w||0,Cn.state=2)}for(var ba=0;ba<si.buffers.length;++ba)!pn[ba]&&si.buffers[ba]&&(si.buffers[ba].destroy(),si.buffers[ba]=null);return si.refresh(),mn}return mn.destroy=function(){for(var Ji=0;Ji<si.buffers.length;++Ji)si.buffers[Ji]&&si.buffers[Ji].destroy();si.buffers.length=0,si.ownsElements&&(si.elements.destroy(),si.elements=null,si.ownsElements=!1),si.destroy()},mn._vao=si,mn._reglType=\"vao\",mn(fi)}return Qi}var Xf=35632,Us=35633,wf=35718,zc=35721;function Wu(Me,bt,Ot,Lr){var Vr={},Or={};function Nr(Tr,Zr,yi,Ii){this.name=Tr,this.id=Zr,this.location=yi,this.info=Ii}function vi(Tr,Zr){for(var yi=0;yi<Tr.length;++yi)if(Tr[yi].id===Zr.id){Tr[yi].location=Zr.location;return}Tr.push(Zr)}function Ni(Tr,Zr,yi){var Ii=Tr===Xf?Vr:Or,ui=Ii[Zr];if(!ui){var nn=bt.str(Zr);ui=Me.createShader(Tr),Me.shaderSource(ui,nn),Me.compileShader(ui),Ii[Zr]=ui}return ui}var qi={},Si=[],Vn=0;function Qi(Tr,Zr){this.id=Vn++,this.fragId=Tr,this.vertId=Zr,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,Lr.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function Wi(Tr,Zr,yi){var Ii,ui,nn=Ni(Xf,Tr.fragId),Zi=Ni(Us,Tr.vertId),qn=Tr.program=Me.createProgram();if(Me.attachShader(qn,nn),Me.attachShader(qn,Zi),yi)for(Ii=0;Ii<yi.length;++Ii){var fi=yi[Ii];Me.bindAttribLocation(qn,fi[0],fi[1])}Me.linkProgram(qn);var si=Me.getProgramParameter(qn,wf);Lr.profile&&(Tr.stats.uniformsCount=si);var mn=Tr.uniforms;for(Ii=0;Ii<si;++Ii)if(ui=Me.getActiveUniform(qn,Ii),ui)if(ui.size>1)for(var Ji=0;Ji<ui.size;++Ji){var Ui=ui.name.replace(\"[0]\",\"[\"+Ji+\"]\");vi(mn,new Nr(Ui,bt.id(Ui),Me.getUniformLocation(qn,Ui),ui))}else vi(mn,new Nr(ui.name,bt.id(ui.name),Me.getUniformLocation(qn,ui.name),ui));var Bi=Me.getProgramParameter(qn,zc);Lr.profile&&(Tr.stats.attributesCount=Bi);var pn=Tr.attributes;for(Ii=0;Ii<Bi;++Ii)ui=Me.getActiveAttrib(qn,Ii),ui&&vi(pn,new Nr(ui.name,bt.id(ui.name),Me.getAttribLocation(qn,ui.name),ui))}Lr.profile&&(Ot.getMaxUniformsCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.uniformsCount>Tr&&(Tr=Zr.stats.uniformsCount)}),Tr},Ot.getMaxAttributesCount=function(){var Tr=0;return Si.forEach(function(Zr){Zr.stats.attributesCount>Tr&&(Tr=Zr.stats.attributesCount)}),Tr});function oi(){Vr={},Or={};for(var Tr=0;Tr<Si.length;++Tr)Wi(Si[Tr],null,Si[Tr].attributes.map(function(Zr){return[Zr.location,Zr.name]}))}return{clear:function(){var Tr=Me.deleteShader.bind(Me);gt(Vr).forEach(Tr),Vr={},gt(Or).forEach(Tr),Or={},Si.forEach(function(Zr){Me.deleteProgram(Zr.program)}),Si.length=0,qi={},Ot.shaderCount=0},program:function(Tr,Zr,yi,Ii){var ui=qi[Zr];ui||(ui=qi[Zr]={});var nn=ui[Tr];if(nn&&(nn.refCount++,!Ii))return nn;var Zi=new Qi(Zr,Tr);return Ot.shaderCount++,Wi(Zi,yi,Ii),nn||(ui[Tr]=Zi),Si.push(Zi),e(Zi,{destroy:function(){if(Zi.refCount--,Zi.refCount<=0){Me.deleteProgram(Zi.program);var qn=Si.indexOf(Zi);Si.splice(qn,1),Ot.shaderCount--}ui[Zi.vertId].refCount<=0&&(Me.deleteShader(Or[Zi.vertId]),delete Or[Zi.vertId],delete qi[Zi.fragId][Zi.vertId]),Object.keys(qi[Zi.fragId]).length||(Me.deleteShader(Vr[Zi.fragId]),delete Vr[Zi.fragId],delete qi[Zi.fragId])}})},restore:oi,shader:Ni,frag:-1,vert:-1}}var Rf=6408,Xu=5121,cf=3333,Zf=5126;function Wl(Me,bt,Ot,Lr,Vr,Or,Nr){function vi(Si){var Vn;bt.next===null?Vn=Xu:Vn=bt.next.colorAttachments[0].texture._texture.type;var 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bt=ah?\"0123456789ABCDEF\":\"0123456789abcdef\",Ot=\"\",Lr,Vr=0;Vr<Me.length;Vr++)Lr=Me.charCodeAt(Vr),Ot+=bt.charAt(Lr>>>4&15)+bt.charAt(Lr&15);return Ot}function Oc(Me){for(var bt=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Ot=\"\",Lr=Me.length,Vr=0;Vr<Lr;Vr+=3)for(var Or=Me.charCodeAt(Vr)<<16|(Vr+1<Lr?Me.charCodeAt(Vr+1)<<8:0)|(Vr+2<Lr?Me.charCodeAt(Vr+2):0),Nr=0;Nr<4;Nr++)Vr*8+Nr*6>Me.length*8?Ot+=Zu:Ot+=bt.charAt(Or>>>6*(3-Nr)&63);return Ot}function ff(Me,bt){var Ot=bt.length,Lr=Array(),Vr,Or,Nr,vi,Ni=Array(Math.ceil(Me.length/2));for(Vr=0;Vr<Ni.length;Vr++)Ni[Vr]=Me.charCodeAt(Vr*2)<<8|Me.charCodeAt(Vr*2+1);for(;Ni.length>0;){for(vi=Array(),Nr=0,Vr=0;Vr<Ni.length;Vr++)Nr=(Nr<<16)+Ni[Vr],Or=Math.floor(Nr/Ot),Nr-=Or*Ot,(vi.length>0||Or>0)&&(vi[vi.length]=Or);Lr[Lr.length]=Nr,Ni=vi}var qi=\"\";for(Vr=Lr.length-1;Vr>=0;Vr--)qi+=bt.charAt(Lr[Vr]);var Si=Math.ceil(Me.length*8/(Math.log(bt.length)/Math.log(2)));for(Vr=qi.length;Vr<Si;Vr++)qi=bt[0]+qi;return 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st[Ze]==\"string\";if(It){if(Object.keys($e.dynamic).length>0)return null;var Bt=$e.static,Ft=Object.keys(Bt);if(Ft.length>0&&typeof Bt[Ft[0]]==\"number\"){for(var Ut=[],zt=0;zt<Ft.length;++zt)Ut.push([Bt[Ft[zt]]|0,Ft[zt]]);return Ut}}return null}function Zs(Ne,$e,st){var It=Ne.static,Bt=Ne.dynamic;function Ft(vt){if(vt in It){var lr=bt.id(It[vt]),_r=kn(function(){return lr});return _r.id=lr,_r}else if(vt in Bt){var Br=Bt[vt];return Bn(Br,function(Di,ci){var bi=Di.invoke(ci,Br),gn=ci.def(Di.shared.strings,\".id(\",bi,\")\");return gn})}return null}var Ut=Ft(ut),zt=Ft(Ze),_t=null,Dt;return Pn(Ut)&&Pn(zt)?(_t=Si.program(zt.id,Ut.id,null,st),Dt=kn(function(vt,lr){return vt.link(_t)})):Dt=new Qr(Ut&&Ut.thisDep||zt&&zt.thisDep,Ut&&Ut.contextDep||zt&&zt.contextDep,Ut&&Ut.propDep||zt&&zt.propDep,function(vt,lr){var _r=vt.shared.shader,Br;Ut?Br=Ut.append(vt,lr):Br=lr.def(_r,\".\",ut);var Di;zt?Di=zt.append(vt,lr):Di=lr.def(_r,\".\",Ze);var ci=_r+\".program(\"+Di+\",\"+Br;return 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Ja=on.shared,co=Ja.isBufferArgs,ts=Ja.elements,so=on.invoke(zn,Gi),Yo=zn.def(\"null\"),ms=zn.def(co,\"(\",so,\")\"),ou=on.cond(ms).then(Yo,\"=\",ts,\".createStream(\",so,\");\").else(Yo,\"=\",ts,\".getElements(\",so,\");\");return zn.entry(ou),zn.exit(on.cond(ms).then(ts,\".destroyStream(\",Yo,\");\")),on.ELEMENTS=Yo,Yo})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.elements+\".getElements(\"+on.shared.vao+\".currentVAO.elements):null\")});return null}var vt=Dt();function lr(){if(Jt in st){var tn=st[Jt];return Bt.primitive=tn,kn(function(Oi,Gi){return Mn[tn]})}else if(Jt in It){var Ei=It[Jt];return Bn(Ei,function(Oi,Gi){var on=Oi.constants.primTypes,zn=Oi.invoke(Gi,Ei);return Gi.def(on,\"[\",zn,\"]\")})}else{if(_t)return Pn(vt)?vt.value?kn(function(Oi,Gi){return Gi.def(Oi.ELEMENTS,\".primType\")}):kn(function(){return Sl}):new Qr(vt.thisDep,vt.contextDep,vt.propDep,function(Oi,Gi){var on=Oi.ELEMENTS;return Gi.def(on,\"?\",on,\".primType:\",Sl)});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(Oi,Gi){return Gi.def(Oi.shared.vao+\".currentVAO?\"+Oi.shared.vao+\".currentVAO.primitive:\"+Sl)})}return null}function _r(tn,Ei){if(tn in st){var Oi=st[tn]|0;return Ei?Bt.offset=Oi:Bt.instances=Oi,kn(function(on,zn){return Ei&&(on.OFFSET=Oi),Oi})}else if(tn in It){var Gi=It[tn];return Bn(Gi,function(on,zn){var Ja=on.invoke(zn,Gi);return Ei&&(on.OFFSET=Ja),Ja})}else if(Ei){if(_t)return kn(function(on,zn){return on.OFFSET=0,0});if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.offset:0\")})}else if(Ft)return new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(on,zn){return zn.def(on.shared.vao+\".currentVAO?\"+on.shared.vao+\".currentVAO.instances:-1\")});return null}var Br=_r(yr,!0);function Di(){if($t in st){var tn=st[$t]|0;return Bt.count=tn,kn(function(){return tn})}else if($t in It){var Ei=It[$t];return Bn(Ei,function(zn,Ja){var co=zn.invoke(Ja,Ei);return co})}else if(_t)if(Pn(vt)){if(vt)return Br?new Qr(Br.thisDep,Br.contextDep,Br.propDep,function(zn,Ja){var co=Ja.def(zn.ELEMENTS,\".vertCount-\",zn.OFFSET);return co}):kn(function(zn,Ja){return Ja.def(zn.ELEMENTS,\".vertCount\")});var Oi=kn(function(){return-1});return Oi}else{var Gi=new Qr(vt.thisDep||Br.thisDep,vt.contextDep||Br.contextDep,vt.propDep||Br.propDep,function(zn,Ja){var co=zn.ELEMENTS;return zn.OFFSET?Ja.def(co,\"?\",co,\".vertCount-\",zn.OFFSET,\":-1\"):Ja.def(co,\"?\",co,\".vertCount:-1\")});return Gi}else if(Ft){var on=new Qr(zt.thisDep,zt.contextDep,zt.propDep,function(zn,Ja){return Ja.def(zn.shared.vao,\".currentVAO?\",zn.shared.vao,\".currentVAO.count:-1\")});return on}return null}var ci=lr(),bi=Di(),gn=_r(Cr,!1);return{elements:vt,primitive:ci,count:bi,instances:gn,offset:Br,vao:zt,vaoActive:Ft,elementsActive:_t,static:Bt}}function El(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return fi.forEach(function(Ft){var Ut=Ji(Ft);function zt(_t,Dt){if(Ft in st){var vt=_t(st[Ft]);Bt[Ut]=kn(function(){return vt})}else if(Ft in It){var lr=It[Ft];Bt[Ut]=Bn(lr,function(_r,Br){return Dt(_r,Br,_r.invoke(Br,lr))})}}switch(Ft){case Cu:case Ho:case ws:case Vc:case va:case B:case Uc:case Ac:case Va:case rs:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case no:return zt(function(_t){return Wr[_t]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs;return Dt.def(lr,\"[\",vt,\"]\")});case ys:return zt(function(_t){return _t},function(_t,Dt,vt){var lr=Dt.def(\"+\",vt,\"[0]\"),_r=Dt.def(\"+\",vt,\"[1]\");return[lr,_r]});case Ls:return zt(function(_t){var Dt=\"srcRGB\"in _t?_t.srcRGB:_t.src,vt=\"srcAlpha\"in _t?_t.srcAlpha:_t.src,lr=\"dstRGB\"in _t?_t.dstRGB:_t.dst,_r=\"dstAlpha\"in _t?_t.dstAlpha:_t.dst;return[xi[Dt],xi[lr],xi[vt],xi[_r]]},function(_t,Dt,vt){var lr=_t.constants.blendFuncs;function _r(Ei,Oi){var Gi=Dt.def('\"',Ei,Oi,'\" in ',vt,\"?\",vt,\".\",Ei,Oi,\":\",vt,\".\",Ei);return Gi}var Br=_r(\"src\",\"RGB\"),Di=_r(\"dst\",\"RGB\"),ci=Dt.def(lr,\"[\",Br,\"]\"),bi=Dt.def(lr,\"[\",_r(\"src\",\"Alpha\"),\"]\"),gn=Dt.def(lr,\"[\",Di,\"]\"),tn=Dt.def(lr,\"[\",_r(\"dst\",\"Alpha\"),\"]\");return[ci,gn,bi,tn]});case Ws:return zt(function(_t){if(typeof _t==\"string\")return[yi[_t],yi[_t]];if(typeof _t==\"object\")return[yi[_t.rgb],yi[_t.alpha]]},function(_t,Dt,vt){var lr=_t.constants.blendEquations,_r=Dt.def(),Br=Dt.def(),Di=_t.cond(\"typeof \",vt,'===\"string\"');return Di.then(_r,\"=\",Br,\"=\",lr,\"[\",vt,\"];\"),Di.else(_r,\"=\",lr,\"[\",vt,\".rgb];\",Br,\"=\",lr,\"[\",vt,\".alpha];\"),Dt(Di),[_r,Br]});case ml:return zt(function(_t){return S(4,function(Dt){return+_t[Dt]})},function(_t,Dt,vt){return S(4,function(lr){return Dt.def(\"+\",vt,\"[\",lr,\"]\")})});case hc:return zt(function(_t){return _t|0},function(_t,Dt,vt){return Dt.def(vt,\"|0\")});case Ku:return zt(function(_t){var Dt=_t.cmp||\"keep\",vt=_t.ref||0,lr=\"mask\"in _t?_t.mask:-1;return[Wr[Dt],vt,lr]},function(_t,Dt,vt){var lr=_t.constants.compareFuncs,_r=Dt.def('\"cmp\" in ',vt,\"?\",lr,\"[\",vt,\".cmp]\",\":\",ot),Br=Dt.def(vt,\".ref|0\"),Di=Dt.def('\"mask\" in ',vt,\"?\",vt,\".mask|0:-1\");return[_r,Br,Di]});case ue:case w:return zt(function(_t){var Dt=_t.fail||\"keep\",vt=_t.zfail||\"keep\",lr=_t.zpass||\"keep\";return[Ft===w?se:X,ii[Dt],ii[vt],ii[lr]]},function(_t,Dt,vt){var lr=_t.constants.stencilOps;function _r(Br){return Dt.def('\"',Br,'\" in ',vt,\"?\",lr,\"[\",vt,\".\",Br,\"]:\",ot)}return[Ft===w?se:X,_r(\"fail\"),_r(\"zfail\"),_r(\"zpass\")]});case xu:return zt(function(_t){var Dt=_t.factor|0,vt=_t.units|0;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def(vt,\".factor|0\"),_r=Dt.def(vt,\".units|0\");return[lr,_r]});case Yu:return zt(function(_t){var Dt=0;return _t===\"front\"?Dt=X:_t===\"back\"&&(Dt=se),Dt},function(_t,Dt,vt){return Dt.def(vt,'===\"front\"?',X,\":\",se)});case pu:return zt(function(_t){return _t},function(_t,Dt,vt){return vt});case Nc:return zt(function(_t){return di[_t]},function(_t,Dt,vt){return Dt.def(vt+'===\"cw\"?'+Te+\":\"+qe)});case Ql:return zt(function(_t){return _t.map(function(Dt){return!!Dt})},function(_t,Dt,vt){return S(4,function(lr){return\"!!\"+vt+\"[\"+lr+\"]\"})});case oo:return zt(function(_t){var Dt=\"value\"in _t?_t.value:1,vt=!!_t.invert;return[Dt,vt]},function(_t,Dt,vt){var lr=Dt.def('\"value\" in ',vt,\"?+\",vt,\".value:1\"),_r=Dt.def(\"!!\",vt,\".invert\");return[lr,_r]})}}),Bt}function zo(Ne,$e){var st=Ne.static,It=Ne.dynamic,Bt={};return Object.keys(st).forEach(function(Ft){var Ut=st[Ft],zt;if(typeof Ut==\"number\"||typeof Ut==\"boolean\")zt=kn(function(){return Ut});else if(typeof Ut==\"function\"){var _t=Ut._reglType;_t===\"texture2d\"||_t===\"textureCube\"?zt=kn(function(Dt){return Dt.link(Ut)}):(_t===\"framebuffer\"||_t===\"framebufferCube\")&&(zt=kn(function(Dt){return Dt.link(Ut.color[0])}))}else 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bi=Ut.divisor|0;_t.buffer=Dt,_t.state=La,_t.size=Br,_t.normalized=Di,_t.type=ci||Dt.dtype,_t.offset=lr,_t.stride=_r,_t.divisor=bi}}Bt[Ft]=kn(function(gn,tn){var Ei=gn.attribCache;if(zt in Ei)return Ei[zt];var Oi={isStream:!1};return Object.keys(_t).forEach(function(Gi){Oi[Gi]=_t[Gi]}),_t.buffer&&(Oi.buffer=gn.link(_t.buffer),Oi.type=Oi.type||Oi.buffer+\".dtype\"),Ei[zt]=Oi,Oi})}),Object.keys(It).forEach(function(Ft){var Ut=It[Ft];function zt(_t,Dt){var vt=_t.invoke(Dt,Ut),lr=_t.shared,_r=_t.constants,Br=lr.isBufferArgs,Di=lr.buffer,ci={isStream:Dt.def(!1)},bi=new Zr;bi.state=La,Object.keys(bi).forEach(function(Oi){ci[Oi]=Dt.def(\"\"+bi[Oi])});var gn=ci.buffer,tn=ci.type;Dt(\"if(\",Br,\"(\",vt,\")){\",ci.isStream,\"=true;\",gn,\"=\",Di,\".createStream(\",br,\",\",vt,\");\",tn,\"=\",gn,\".dtype;\",\"}else{\",gn,\"=\",Di,\".getBuffer(\",vt,\");\",\"if(\",gn,\"){\",tn,\"=\",gn,\".dtype;\",'}else if(\"constant\" in ',vt,\"){\",ci.state,\"=\",Ua,\";\",\"if(typeof \"+vt+'.constant === 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Ft==\"boolean\"?\"\"+Ft:Ut.link(Ft)})}),Object.keys(st).forEach(function(Bt){var Ft=st[Bt];It[Bt]=Bn(Ft,function(Ut,zt){return Ut.invoke(zt,Ft)})}),It}function Ul(Ne,$e,st,It,Bt){var Ft=Ne.static,Ut=Ne.dynamic,zt=is(Ne,$e),_t=sa(Ne,Bt),Dt=ba(Ne,_t,Bt),vt=Ga(Ne,Bt),lr=El(Ne,Bt),_r=Zs(Ne,Bt,zt);function Br(Ei){var Oi=Dt[Ei];Oi&&(lr[Ei]=Oi)}Br(ee),Br(Ji(Q));var Di=Object.keys(lr).length>0,ci={framebuffer:_t,draw:vt,shader:_r,state:lr,dirty:Di,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(ci.profile=ia(Ne,Bt),ci.uniforms=zo(st,Bt),ci.drawVAO=ci.scopeVAO=vt.vao,!ci.drawVAO&&_r.program&&!zt&&Ot.angle_instanced_arrays&&vt.static.elements){var bi=!0,gn=_r.program.attributes.map(function(Ei){var Oi=$e.static[Ei];return bi=bi&&!!Oi,Oi});if(bi&&gn.length>0){var tn=qi.getVAO(qi.createVAO({attributes:gn,elements:vt.static.elements}));ci.drawVAO=new Qr(null,null,null,function(Ei,Oi){return Ei.link(tn)}),ci.useVAO=!0}}return zt?ci.useVAO=!0:ci.attributes=Qs($e,Bt),ci.context=nl(It,Bt),ci}function ss(Ne,$e,st){var It=Ne.shared,Bt=It.context,Ft=Ne.scope();Object.keys(st).forEach(function(Ut){$e.save(Bt,\".\"+Ut);var zt=st[Ut],_t=zt.append(Ne,$e);Array.isArray(_t)?Ft(Bt,\".\",Ut,\"=[\",_t.join(),\"];\"):Ft(Bt,\".\",Ut,\"=\",_t,\";\")}),$e(Ft)}function Vs(Ne,$e,st,It){var Bt=Ne.shared,Ft=Bt.gl,Ut=Bt.framebuffer,zt;ui&&(zt=$e.def(Bt.extensions,\".webgl_draw_buffers\"));var _t=Ne.constants,Dt=_t.drawBuffer,vt=_t.backBuffer,lr;st?lr=st.append(Ne,$e):lr=$e.def(Ut,\".next\"),It||$e(\"if(\",lr,\"!==\",Ut,\".cur){\"),$e(\"if(\",lr,\"){\",Ft,\".bindFramebuffer(\",zr,\",\",lr,\".framebuffer);\"),ui&&$e(zt,\".drawBuffersWEBGL(\",Dt,\"[\",lr,\".colorAttachments.length]);\"),$e(\"}else{\",Ft,\".bindFramebuffer(\",zr,\",null);\"),ui&&$e(zt,\".drawBuffersWEBGL(\",vt,\");\"),$e(\"}\",Ut,\".cur=\",lr,\";\"),It||$e(\"}\")}function Ys(Ne,$e,st){var It=Ne.shared,Bt=It.gl,Ft=Ne.current,Ut=Ne.next,zt=It.current,_t=It.next,Dt=Ne.cond(zt,\".dirty\");fi.forEach(function(vt){var lr=Ji(vt);if(!(lr in st.state)){var _r,Br;if(lr in Ut){_r=Ut[lr],Br=Ft[lr];var Di=S(Zi[lr].length,function(bi){return Dt.def(_r,\"[\",bi,\"]\")});Dt(Ne.cond(Di.map(function(bi,gn){return bi+\"!==\"+Br+\"[\"+gn+\"]\"}).join(\"||\")).then(Bt,\".\",mn[lr],\"(\",Di,\");\",Di.map(function(bi,gn){return Br+\"[\"+gn+\"]=\"+bi}).join(\";\"),\";\"))}else{_r=Dt.def(_t,\".\",lr);var ci=Ne.cond(_r,\"!==\",zt,\".\",lr);Dt(ci),lr in si?ci(Ne.cond(_r).then(Bt,\".enable(\",si[lr],\");\").else(Bt,\".disable(\",si[lr],\");\"),zt,\".\",lr,\"=\",_r,\";\"):ci(Bt,\".\",mn[lr],\"(\",_r,\");\",zt,\".\",lr,\"=\",_r,\";\")}}}),Object.keys(st.state).length===0&&Dt(zt,\".dirty=false;\"),$e(Dt)}function wa(Ne,$e,st,It){var Bt=Ne.shared,Ft=Ne.current,Ut=Bt.current,zt=Bt.gl,_t;Ti(Object.keys(st)).forEach(function(Dt){var vt=st[Dt];if(!(It&&!It(vt))){var lr=vt.append(Ne,$e);if(si[Dt]){var 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i=t[n][0],a=i.trace,o=r._splomScenes[a.uid];a.type===\"splom\"&&o&&o.matrix&&yGt(e,a,o)}}function yGt(e,t,r){for(var n=r.matrixOptions.data.length,i=t._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],l=a[o]=new Array(4),u=jNe(e,t._diag[s][0]);u&&(l[0]=u.r2l(u.range[0]),l[2]=u.r2l(u.range[1]));var c=jNe(e,t._diag[s][1]);c&&(l[1]=c.r2l(c.range[0]),l[3]=c.r2l(c.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function IK(e){var t=e._fullLayout,r=t._glcanvas.data()[0].regl,n=t._splomGrid;n||(n=t._splomGrid=hGt(r)),n.update(_Gt(e))}function _Gt(e){var t=e._context.plotGlPixelRatio,r=e._fullLayout,n=r._size,i=[0,0,r.width*t,r.height*t],a={},o;function s(x,C,S,g,P,E){S*=t,g*=t,P*=t,E*=t;var z=C[x+\"color\"],q=C[x+\"width\"],V=String(z+q);V in a?a[V].data.push(NaN,NaN,S,g,P,E):a[V]={data:[S,g,P,E],join:\"rect\",thickness:q*t,color:z,viewport:i,range:i,overlay:!1}}for(o in r._splomSubplots){var l=r._plots[o],u=l.xaxis,c=l.yaxis,f=u._gridVals,h=c._gridVals,d=u._offset,v=u._length,m=c._length,b=n.b+c.domain[0]*n.h,p=-c._m,k=-p*c.r2l(c.range[0],c.calendar),M,T;if(u.showgrid)for(o=0;o<f.length;o++)M=d+u.l2p(f[o].x),s(\"grid\",u,M,b,M,b+m);if(c.showgrid)for(o=0;o<h.length;o++)T=b+k+p*h[o].x,s(\"grid\",c,d,T,d+v,T);WNe(e,u,c)&&(M=d+u.l2p(0),s(\"zeroline\",u,M,b,M,b+m)),WNe(e,c,u)&&(T=b+k+0,s(\"zeroline\",c,d,T,d+v,T))}var L=[];for(o in a)L.push(a[o]);return L}function xGt(e,t,r,n){var i={},a;if(n._splomScenes){for(a=0;a<e.length;a++){var o=e[a];o.type===\"splom\"&&(i[o.uid]=1)}for(a=0;a<r.length;a++){var s=r[a];if(!i[s.uid]){var l=n._splomScenes[s.uid];l&&l.destroy&&l.destroy(),n._splomScenes[s.uid]=null,delete n._splomScenes[s.uid]}}}Object.keys(n._splomScenes||{}).length===0&&delete n._splomScenes,n._splomGrid&&!t._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),Mx.clean(e,t,r,n)}YNe.exports={name:XNe,attr:Mx.attr,attrRegex:Mx.attrRegex,layoutAttributes:Mx.layoutAttributes,supplyLayoutDefaults:Mx.supplyLayoutDefaults,drawFramework:Mx.drawFramework,plot:gGt,drag:mGt,updateGrid:IK,clean:xGt,updateFx:Mx.updateFx,toSVG:Mx.toSVG,reglPrecompiled:ZNe}});var QNe=ye((yxr,$Ne)=>{\"use strict\";var JNe=HNe();JNe.basePlotModule=KNe(),$Ne.exports=JNe});var tUe=ye((_xr,eUe)=>{\"use strict\";eUe.exports=QNe()});var FK=ye((xxr,rUe)=>{\"use strict\";var bGt=Tu(),RK=Rd(),DK=ec(),wGt=Cc().attributes,Gz=Ao().extendFlat,TGt=vl().templatedArray;rUe.exports={domain:wGt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:DK({editType:\"plot\"}),tickfont:DK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:DK({editType:\"plot\"}),dimensions:TGt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:Gz({},RK.tickvals,{editType:\"plot\"}),ticktext:Gz({},RK.ticktext,{editType:\"plot\"}),tickformat:Gz({},RK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:Gz({editType:\"calc\"},bGt(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var Vk=ye((bxr,iUe)=>{\"use strict\";iUe.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}});var ay=ye((wxr,aUe)=>{\"use strict\";var AGt=$S();function nUe(e){return[e]}aUe.exports={keyFun:function(e){return e.key},repeat:nUe,descend:AGt,wrap:nUe,unwrap:function(e){return e[0]}}});var OK=ye((Txr,gUe)=>{\"use strict\";var Th=Vk(),im=Fa(),SGt=ay().keyFun,Hz=ay().repeat,E5=Pr().sorterAsc,MGt=Pr().strTranslate,oUe=Th.bar.snapRatio;function sUe(e,t){return e*(1-oUe)+t*oUe}var lUe=Th.bar.snapClose;function EGt(e,t){return e*(1-lUe)+t*lUe}function Wz(e,t,r,n){if(kGt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c<i*o;c+=i){var f=c+i,h=t[f];if(i*r<i*EGt(l,h))return sUe(l,u);if(i*r<i*h||f===o)return sUe(h,l);u=l,l=h}}function kGt(e,t){for(var r=0;r<t.length;r++)if(e>=t[r][0]&&e<=t[r][1])return!0;return!1}function CGt(e){e.attr(\"x\",-Th.bar.captureWidth/2).attr(\"width\",Th.bar.captureWidth)}function LGt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function PGt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=uUe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;s<t.length;s++)n=t[s],i=n[1]-n[0],r.push(o),r.push(i),a=s+1,a<t.length&&(o=t[a][0]-n[1]);return r.push(e.height),r}function uUe(e,t){return e.map(function(r){return r.map(function(n){return Math.max(0,n*t)}).sort(E5)})}function IGt(e,t){var r=Th.bar.handleHeight;if(!(t>e[1]+r||t<e[0]-r))return t>=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function cUe(){im.select(document.body).style(\"cursor\",null)}function qK(e){e.attr(\"stroke-dasharray\",PGt)}function jz(e,t){var r=im.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(Th.bar.snapDuration).each(\"end\",t):r;qK(n)}function fUe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=uUe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]<u[h][0]-t?f:h),!isNaN(i)){var v=u[i],m=IGt(v,t);m&&(a.interval=l[i],a.intervalPix=v,a.region=m)}}if(e.ordinal&&!a.region){var b=e.unitTickvals,p=e.unitToPaddedPx.invert(t);for(o=0;o<b.length;o++){var k=[b[Math.max(o-1,0)]*.25+b[o]*.75,b[Math.min(o+1,b.length-1)]*.25+b[o]*.75];if(p>=k[0]&&p<=k[1]){a.clickableOrdinalRange=k;break}}}return a}function RGt(e,t){im.event.sourceEvent.stopPropagation();var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=fUe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-Th.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function hUe(e,t){im.event.sourceEvent.stopPropagation();var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(E5),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),jz(e.parentNode)}function DGt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(dUe(e,t),hUe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=im.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,cUe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&zK(r)):zK(r),i.brushCallback(t),jz(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[Wz(0,l,i.newExtent[0],i.stayingIntervals),Wz(1,l,i.newExtent[1],i.stayingIntervals)];var u=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||zK(r),i.brushCallback(t),u?jz(e.parentNode,s):(s(),jz(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function dUe(e,t){var r=t.height-im.mouse(e)[1]-2*Th.verticalPadding,n=fUe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),im.select(document.body).style(\"cursor\",i)}function FGt(e){e.on(\"mousemove\",function(t){im.event.preventDefault(),t.parent.inBrushDrag||dUe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||cUe()}).call(im.behavior.drag().on(\"dragstart\",function(t){RGt(this,t)}).on(\"drag\",function(t){hUe(this,t)}).on(\"dragend\",function(t){DGt(this,t)}))}function vUe(e,t){return e[0]-t[0]}function zGt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(Hz);i.enter().append(\"rect\").classed(\"background\",!0).call(CGt).call(LGt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",MGt(0,Th.verticalPadding)),i.call(FGt).attr(\"height\",function(s){return s.height-Th.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(Hz);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-Th.bar.width/2).attr(\"stroke-width\",Th.bar.width+Th.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",Th.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(qK);var o=e.selectAll(\".highlight\").data(Hz);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-Th.bar.width/2).attr(\"stroke-width\",Th.bar.width-Th.bar.strokeWidth).attr(\"stroke\",Th.bar.fillColor).attr(\"opacity\",Th.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(qK)}function qGt(e,t,r){var n=e.selectAll(\".\"+Th.cn.axisBrush).data(Hz,SGt);n.enter().append(\"g\").classed(Th.cn.axisBrush,!0),zGt(n,t,r)}function OGt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function zK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function BGt(e){return function(r){var n=r.brush,i=OGt(n),a=i.slice();n.filter.set(a),e()}}function pUe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function NGt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(E5)}).sort(vUe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=pUe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function UGt(e,t,r,n,i,a){var o=NGt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:BGt(i),brushEndCallback:a}}}function VGt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(E5)}),t.multiselect?e=pUe(e.sort(vUe)):e=[e[0]]):e=[e.sort(E5)],t.tickvals){var r=t.tickvals.slice().sort(E5);if(e=e.map(function(n){var i=[Wz(0,r,n[0],[]),Wz(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}gUe.exports={makeBrush:UGt,ensureAxisBrush:qGt,cleanRanges:VGt}});var _Ue=ye((Axr,yUe)=>{\"use strict\";var Ex=Pr(),GGt=pv().hasColorscale,HGt=td(),jGt=Cc().defaults,WGt=Kd(),XGt=ho(),mUe=FK(),ZGt=OK(),BK=Vk().maxDimensionCount,YGt=zz();function KGt(e,t,r,n,i){var a=i(\"line.color\",r);if(GGt(e,\"line\")&&Ex.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),HGt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function JGt(e,t,r,n){function i(u,c){return Ex.coerce(e,t,mUe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},XGt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=ZGt.cleanRanges(l,t))}}yUe.exports=function(t,r,n,i){function a(c,f){return Ex.coerce(t,r,mUe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>BK&&(Ex.log(\"parcoords traces support up to \"+BK+\" dimensions at the moment\"),o.splice(BK));var s=WGt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:JGt}),l=KGt(t,r,n,i,a);jGt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),YGt(r,s,\"values\",l);var u=Ex.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});Ex.coerceFont(a,\"labelfont\",u),Ex.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),Ex.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var bUe=ye((Sxr,xUe)=>{\"use strict\";var $Gt=Pr().isArrayOrTypedArray,NK=tc(),QGt=ay().wrap;xUe.exports=function(t,r){var n,i;return NK.hasColorscale(r,\"line\")&&$Gt(r.line.color)?(n=r.line.color,i=NK.extractOpts(r.line).colorscale,NK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=eHt(r._length),i=[[0,r.line.color],[1,r.line.color]]),QGt({lineColor:n,cscale:i})};function eHt(e){for(var t=new Array(e),r=0;r<e;r++)t[r]=.5;return t}});function tHt(e){var c,f;var t,r=[],n=1,i;if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(typeof e==\"number\")return{space:\"rgb\",values:[e>>>16,(e&65280)>>>8,e&255],alpha:1};if(e=String(e).toLowerCase(),UK.default[e])r=UK.default[e].slice(),i=\"rgb\";else if(e===\"transparent\")n=0,i=\"rgb\",r=[0,0,0];else if(e[0]===\"#\"){var a=e.slice(1),o=a.length,s=o<=4;n=1,s?(r=[parseInt(a[0]+a[0],16),parseInt(a[1]+a[1],16),parseInt(a[2]+a[2],16)],o===4&&(n=parseInt(a[3]+a[3],16)/255)):(r=[parseInt(a[0]+a[1],16),parseInt(a[2]+a[3],16),parseInt(a[4]+a[5],16)],o===8&&(n=parseInt(a[6]+a[7],16)/255)),r[0]||(r[0]=0),r[1]||(r[1]=0),r[2]||(r[2]=0),i=\"rgb\"}else if(t=/^((?:rgba?|hs[lvb]a?|hwba?|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms|oklch|oklab|color))\\s*\\(([^\\)]*)\\)/.exec(e)){var l=t[1];i=l.replace(/a$/,\"\");var u=i===\"cmyk\"?4:i===\"gray\"?1:3;r=t[2].trim().split(/\\s*[,\\/]\\s*|\\s+/),i===\"color\"&&(i=r.shift()),r=r.map(function(h,d){if(h[h.length-1]===\"%\")return h=parseFloat(h)/100,d===3?h:i===\"rgb\"?h*255:i[0]===\"h\"||i[0]===\"l\"&&!d?h*100:i===\"lab\"?h*125:i===\"lch\"?d<2?h*150:h*360:i[0]===\"o\"&&!d?h:i===\"oklab\"?h*.4:i===\"oklch\"?d<2?h*.4:h*360:h;if(i[d]===\"h\"||d===2&&i[i.length-1]===\"h\"){if(wUe[h]!==void 0)return wUe[h];if(h.endsWith(\"deg\"))return parseFloat(h);if(h.endsWith(\"turn\"))return parseFloat(h)*360;if(h.endsWith(\"grad\"))return parseFloat(h)*360/400;if(h.endsWith(\"rad\"))return parseFloat(h)*180/Math.PI}return h===\"none\"?0:parseFloat(h)}),n=r.length>u?r.pop():1}else/[0-9](?:\\s|\\/|,)/.test(e)&&(r=e.match(/([0-9]+)/g).map(function(h){return parseFloat(h)}),i=((f=(c=e.match(/([a-z])/ig))==null?void 0:c.join(\"\"))==null?void 0:f.toLowerCase())||\"rgb\");return{space:i,values:r,alpha:n}}var UK,TUe,wUe,AUe=gu(()=>{UK=Rtt(MX(),1),TUe=tHt,wUe={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}});var Gk,VK=gu(()=>{Gk={name:\"rgb\",min:[0,0,0],max:[255,255,255],channel:[\"red\",\"green\",\"blue\"],alias:[\"RGB\"]}});var Xz,SUe=gu(()=>{VK();Xz={name:\"hsl\",min:[0,0,0],max:[360,100,100],channel:[\"hue\",\"saturation\",\"lightness\"],alias:[\"HSL\"],rgb:function(e){var t=e[0]/360,r=e[1]/100,n=e[2]/100,i,a,o,s,l,u=0;if(r===0)return l=n*255,[l,l,l];for(a=n<.5?n*(1+r):n+r-n*r,i=2*n-a,s=[0,0,0];u<3;)o=t+1/3*-(u-1),o<0?o++:o>1&&o--,l=6*o<1?i+(a-i)*6*o:2*o<1?a:3*o<2?i+(a-i)*(2/3-o)*6:i,s[u++]=l*255;return s}};Gk.hsl=function(e){var t=e[0]/255,r=e[1]/255,n=e[2]/255,i=Math.min(t,r,n),a=Math.max(t,r,n),o=a-i,s,l,u;return a===i?s=0:t===a?s=(r-n)/o:r===a?s=2+(n-t)/o:n===a&&(s=4+(t-r)/o),s=Math.min(s*60,360),s<0&&(s+=360),u=(i+a)/2,a===i?l=0:u<=.5?l=o/(a+i):l=o/(2-a-i),[s,l*100,u*100]}});var EUe={};bee(EUe,{default:()=>MUe});function MUe(e){Array.isArray(e)&&e.raw&&(e=String.raw(...arguments)),e instanceof Number&&(e=+e);var t,r,n,i=TUe(e);if(!i.space)return[];let a=i.space[0]===\"h\"?Xz.min:Gk.min,o=i.space[0]===\"h\"?Xz.max:Gk.max;return t=Array(3),t[0]=Math.min(Math.max(i.values[0],a[0]),o[0]),t[1]=Math.min(Math.max(i.values[1],a[1]),o[1]),t[2]=Math.min(Math.max(i.values[2],a[2]),o[2]),i.space[0]===\"h\"&&(t=Xz.rgb(t)),t.push(Math.min(Math.max(i.alpha,0),1)),t}var kUe=gu(()=>{AUe();VK();SUe()});var GK=ye(Zz=>{\"use strict\";var rHt=Pr().isTypedArray;Zz.convertTypedArray=function(e){return rHt(e)?Array.prototype.slice.call(e):e};Zz.isOrdinal=function(e){return!!e.tickvals};Zz.isVisible=function(e){return e.visible||!(\"visible\"in e)}});var OUe=ye((Dxr,qUe)=>{\"use strict\";var iHt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(`\n",
+       "`),nHt=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(`\n",
+       "`),Hk=Vk().maxDimensionCount,DUe=Pr(),CUe=1e-6,Yz=2048,aHt=new Uint8Array(4),LUe=new Uint8Array(4),PUe={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function oHt(e){e.read({x:0,y:0,width:1,height:1,data:aHt})}function FUe(e,t,r,n,i){var a=e._gl;a.enable(a.SCISSOR_TEST),a.scissor(t,r,n,i),e.clear({color:[0,0,0,0],depth:1})}function sHt(e,t,r,n,i,a){var o=a.key;function s(l){var u=Math.min(n,i-l*n);l===0&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],FUe(e,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),!r.clearOnly&&(a.count=2*u,a.offset=2*l*n,t(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}r.drawCompleted||(oHt(e),r.drawCompleted=!0),s(0)}function lHt(e){return Math.max(CUe,Math.min(1-CUe,e))}function uHt(e,t){for(var r=new Array(256),n=0;n<256;n++)r[n]=e(n/255).concat(t);return r}function HK(e,t){return(e>>>8*t)%256/255}function cHt(e,t,r){for(var n=new Array(e*(Hk+4)),i=0,a=0;a<e;a++){for(var o=0;o<Hk;o++)n[i++]=o<t.length?t[o].paddedUnitValues[a]:.5;n[i++]=HK(a,2),n[i++]=HK(a,1),n[i++]=HK(a,0),n[i++]=lHt(r[a])}return n}function fHt(e,t,r){for(var n=new Array(t*8),i=0,a=0;a<t;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=e*4+s,u=r[a*64+l];l===63&&o===0&&(u*=-1),n[i++]=u}return n}function IUe(e){var t=\"0\"+e;return t.slice(-2)}function zUe(e){return e<Hk?\"p\"+IUe(e+1)+\"_\"+IUe(e+4):\"colors\"}function hHt(e,t,r){for(var n=0;n<=Hk;n+=4)e[zUe(n)](fHt(n/4,t,r))}function dHt(e){for(var t={},r=0;r<=Hk;r+=4)t[zUe(r)]=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return t}function vHt(e,t,r,n,i,a,o,s,l,u,c,f,h,d){for(var v=[[],[]],m=0;m<64;m++)v[0][m]=m===i?1:0,v[1][m]=m===a?1:0;o*=d,s*=d,l*=d,u*=d;var b=e.lines.canvasOverdrag*d,p=e.domain,k=e.canvasWidth*d,M=e.canvasHeight*d,T=e.pad.l*d,L=e.pad.b*d,x=e.layoutHeight*d,C=e.layoutWidth*d,S=e.deselectedLines.color,g=e.deselectedLines.opacity,P=DUe.extendFlat({key:c,resolution:[k,M],viewBoxPos:[o+b,s],viewBoxSize:[l,u],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:f,contextColor:[S[0]/255,S[1]/255,S[2]/255,g!==\"auto\"?S[3]*g:Math.max(1/255,Math.pow(1/e.lines.color.length,1/3))],scissorX:(n===t?0:o+b)+(T-b)+C*p.x[0],scissorWidth:(n===r?k-o+b:l+.5)+(n===t?o+b:0),scissorY:s+L+x*p.y[0],scissorHeight:u,viewportX:T-b+C*p.x[0],viewportY:L+x*p.y[0],viewportWidth:k,viewportHeight:M},h);return P}function RUe(e){var t=Yz-1,r=Math.max(0,Math.floor(e[0]*t),0),n=Math.min(t,Math.ceil(e[1]*t),t);return[Math.min(r,n),Math.max(r,n)]}qUe.exports=function(e,t){var r=t.context,n=t.pick,i=t.regl,a=i._gl,o=a.getParameter(a.ALIASED_LINE_WIDTH_RANGE),s=Math.max(o[0],Math.min(o[1],t.viewModel.plotGlPixelRatio)),l={currentRafs:{},drawCompleted:!0,clearOnly:!1},u,c,f,h,d=dHt(i),v,m=i.texture(PUe),b=[];k(t);var p=i({profile:!1,blend:{enable:r,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!r,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:i.prop(\"scissorX\"),y:i.prop(\"scissorY\"),width:i.prop(\"scissorWidth\"),height:i.prop(\"scissorHeight\")}},viewport:{x:i.prop(\"viewportX\"),y:i.prop(\"viewportY\"),width:i.prop(\"viewportWidth\"),height:i.prop(\"viewportHeight\")},dither:!1,vert:iHt,frag:nHt,primitive:\"lines\",lineWidth:s,attributes:d,uniforms:{resolution:i.prop(\"resolution\"),viewBoxPos:i.prop(\"viewBoxPos\"),viewBoxSize:i.prop(\"viewBoxSize\"),dim0A:i.prop(\"dim0A\"),dim1A:i.prop(\"dim1A\"),dim0B:i.prop(\"dim0B\"),dim1B:i.prop(\"dim1B\"),dim0C:i.prop(\"dim0C\"),dim1C:i.prop(\"dim1C\"),dim0D:i.prop(\"dim0D\"),dim1D:i.prop(\"dim1D\"),loA:i.prop(\"loA\"),hiA:i.prop(\"hiA\"),loB:i.prop(\"loB\"),hiB:i.prop(\"hiB\"),loC:i.prop(\"loC\"),hiC:i.prop(\"hiC\"),loD:i.prop(\"loD\"),hiD:i.prop(\"hiD\"),palette:m,contextColor:i.prop(\"contextColor\"),maskTexture:i.prop(\"maskTexture\"),drwLayer:i.prop(\"drwLayer\"),maskHeight:i.prop(\"maskHeight\")},offset:i.prop(\"offset\"),count:i.prop(\"count\")});function k(S){u=S.model,c=S.viewModel,f=c.dimensions.slice(),h=f[0]?f[0].values.length:0;var g=u.lines,P=n?g.color.map(function(z,q){return q/g.color.length}):g.color,E=cHt(h,f,P);hHt(d,h,E),!r&&!n&&(m=i.texture(DUe.extendFlat({data:uHt(u.unitToColor,255)},PUe)))}function M(S){var g,P,E,z=[[],[]];for(E=0;E<64;E++){var q=!S&&E<f.length?f[E].brush.filter.getBounds():[-1/0,1/0];z[0][E]=q[0],z[1][E]=q[1]}var V=Yz*8,G=new Array(V);for(g=0;g<V;g++)G[g]=255;if(!S)for(g=0;g<f.length;g++){var Z=g%8,j=(g-Z)/8,N=Math.pow(2,Z),H=f[g],re=H.brush.filter.get();if(!(re.length<2)){var ae=RUe(re[0])[1];for(P=1;P<re.length;P++){var _e=RUe(re[P]);for(E=ae+1;E<_e[0];E++)G[E*8+j]&=~N;ae=Math.max(ae,_e[1])}}}var Ee={shape:[8,Yz],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:G};return 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i(\"line.colorscale\"),BHt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function jHt(e,t){function r(u,c){return C5.coerce(e,t,mVe.dimensions,u,c)}var n=r(\"values\"),i=r(\"visible\");if(n&&n.length||(i=t.visible=!1),i){r(\"label\"),r(\"displayindex\",t._index);var a=e.categoryarray,o=C5.isArrayOrTypedArray(a)&&a.length>0||GHt(a),s;o&&(s=\"array\");var l=r(\"categoryorder\",s);l===\"array\"?(r(\"categoryarray\"),r(\"ticktext\")):(delete e.categoryarray,delete e.ticktext),!o&&l===\"array\"&&(t.categoryorder=\"trace\")}}yVe.exports=function(t,r,n,i){function a(u,c){return C5.coerce(t,r,mVe,u,c)}var o=UHt(t,r,{name:\"dimensions\",handleItemDefaults:jHt}),s=HHt(t,r,n,i,a);NHt(r,i,a),(!Array.isArray(o)||!o.length)&&(r.visible=!1),VHt(r,o,\"values\",s),a(\"hoveron\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"arrangement\"),a(\"bundlecolors\"),a(\"sortpaths\"),a(\"counts\");var l=i.font;C5.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),C5.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var bVe=ye((Vxr,xVe)=>{\"use strict\";var WHt=ay().wrap,XHt=pv().hasColorscale,ZHt=gv(),YHt=aO(),KHt=So(),Wk=Pr(),JHt=Eo();xVe.exports=function(t,r){var n=Wk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(g){var P;if(g.categoryorder===\"trace\")P=null;else if(g.categoryorder===\"array\")P=g.categoryarray;else{P=YHt(g.values);for(var E=!0,z=0;z<P.length;z++)if(!JHt(P[z])){E=!1;break}P.sort(E?Wk.sorterAsc:void 0),g.categoryorder===\"category descending\"&&(P=P.reverse())}return njt(g.values,P)}),a,o,s;Wk.isArrayOrTypedArray(r.counts)?a=r.counts:a=[r.counts],ajt(n),n.forEach(function(g,P){ojt(g,i[P])});var l=r.line,u;l?(XHt(r,\"line\")&&ZHt(t,r,{vals:r.line.color,containerStr:\"line\",cLetter:\"c\"}),u=KHt.tryColorscale(l)):u=Wk.identity;function c(g){var P,E;return Wk.isArrayOrTypedArray(l.color)?(P=l.color[g%l.color.length],E=P):P=l.color,{color:u(P),rawColor:E}}var f=n[0].values.length,h={},d=i.map(function(g){return g.inds});s=0;var v,m;for(v=0;v<f;v++){var b=[];for(m=0;m<d.length;m++)b.push(d[m][v]);o=a[v%a.length],s+=o;var p=c(v),k=b+\"-\"+p.rawColor;h[k]===void 0&&(h[k]=rjt(b,p.color,p.rawColor)),ijt(h[k],v,o)}var M=n.map(function(g,P){return QHt(P,g._index,g._displayindex,g.label,s)});for(v=0;v<f;v++)for(o=a[v%a.length],m=0;m<M.length;m++){var T=M[m].containerInd,L=i[m].inds[v],x=M[m].categories;if(x[L]===void 0){var C=r.dimensions[T]._categoryarray[L],S=r.dimensions[T]._ticktext[L];x[L]=ejt(m,L,C,S)}tjt(x[L],v,o)}return WHt($Ht(M,h,s))};function $Ht(e,t,r){var n=e.map(function(i){return i.categories.length}).reduce(function(i,a){return Math.max(i,a)});return{dimensions:e,paths:t,trace:void 0,maxCats:n,count:r}}function QHt(e,t,r,n,i){return{dimensionInd:e,containerInd:t,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}function ejt(e,t,r,n){return{dimensionInd:e,categoryInd:t,categoryValue:r,displayInd:t,categoryLabel:n,valueInds:[],count:0,dragY:null}}function tjt(e,t,r){e.valueInds.push(t),e.count+=r}function rjt(e,t,r){return{categoryInds:e,color:t,rawColor:r,valueInds:[],count:0}}function ijt(e,t,r){e.valueInds.push(t),e.count+=r}function njt(e,t){t==null?t=[]:t=t.map(function(u){return u});var r={},n={},i=[];t.forEach(function(u,c){r[u]=0,n[u]=c});for(var a=0;a<e.length;a++){var o=e[a],s;r[o]===void 0?(r[o]=1,s=t.push(o)-1,n[o]=s):(r[o]++,s=n[o]),i.push(s)}var l=t.map(function(u){return r[u]});return{uniqueValues:t,uniqueCounts:l,inds:i}}function ajt(e){var t=e.map(function(n){return n.displayindex}),r;if(sjt(t))for(r=0;r<e.length;r++)e[r]._displayindex=e[r].displayindex;else for(r=0;r<e.length;r++)e[r]._displayindex=r}function ojt(e,t){e._categoryarray=t.uniqueValues,e.ticktext===null||e.ticktext===void 0?e._ticktext=[]:e._ticktext=e.ticktext.slice();for(var r=e._ticktext.length;r<t.uniqueValues.length;r++)e._ticktext.push(t.uniqueValues[r])}function sjt(e){for(var t=new Array(e.length),r=0;r<e.length;r++){if(e[r]<0||e[r]>=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var LVe=ye((Gxr,CVe)=>{\"use strict\";var Dl=Fa(),ljt=(W2(),gb(j2)).interpolateNumber,ujt=JP(),Yk=ef(),kx=Pr(),Xk=kx.strTranslate,wVe=So(),QK=fd(),cjt=Zl();function fjt(e,t,r,n){var i=t._context.staticPlot,a=e.map(Mjt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,m1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(k){return Xk(k.x,k.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(k){return k.paths},m1);c.attr(\"fill\",function(k){return k.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.model.color}).attr(\"fill-opacity\",0);rJ(f),c.attr(\"d\",function(k){return k.svgD}),f.empty()||c.sort(eJ),c.exit().remove(),c.on(\"mouseover\",hjt).on(\"mouseout\",djt).on(\"click\",vjt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(k){return k.dimensions},m1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(k){return Xk(k.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(k){return k.categories},m1),m=v.enter().append(\"g\").attr(\"class\",\"category\");v.attr(\"transform\",function(k){return Xk(0,k.y)}),m.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),v.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}),AVe(m);var b=v.selectAll(\"rect.bandrect\").data(function(k){return k.bands},m1);b.each(function(){kx.raiseToTop(this)}),b.attr(\"fill\",function(k){return k.color});var p=b.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(k){return k.color}).attr(\"fill-opacity\",0);b.attr(\"fill\",function(k){return k.color}).attr(\"width\",function(k){return k.width}).attr(\"height\",function(k){return k.height}).attr(\"y\",function(k){return k.y}).attr(\"cursor\",function(k){return 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k.width/2}).attr(\"y\",-5).text(function(k,M){return M===0?k.parcatsViewModel.model.dimensions[k.model.dimensionInd].dimensionLabel:null}).each(function(k){wVe.font(Dl.select(this),k.parcatsViewModel.labelfont)}),v.selectAll(\"rect.bandrect\").on(\"mouseover\",bjt).on(\"mouseout\",wjt),v.exit().remove(),d.call(Dl.behavior.drag().origin(function(k){return{x:k.x,y:0}}).on(\"dragstart\",Tjt).on(\"drag\",Ajt).on(\"dragend\",Sjt)),s.each(function(k){k.traceSelection=Dl.select(this),k.pathSelection=Dl.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),k.dimensionSelection=Dl.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),s.exit().remove()}CVe.exports=function(e,t,r,n){fjt(r,e,n,t)};function m1(e){return e.key}function Zk(e){var t=e.parcatsViewModel.dimensions.length,r=e.parcatsViewModel.dimensions[t-1].model.dimensionInd;return e.model.dimensionInd===r}function eJ(e,t){return e.model.rawColor>t.model.rawColor?1:e.model.rawColor<t.model.rawColor?-1:0}function hjt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){kx.raiseToTop(this),iJ(Dl.select(this));var t=Kk(e),r=tJ(e);if(e.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:t,event:Dl.event,constraints:r}),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var n=Dl.mouse(this)[0],i=e.parcatsViewModel.graphDiv,a=e.parcatsViewModel.trace,o=i._fullLayout,s=o._paperdiv.node().getBoundingClientRect(),l=e.parcatsViewModel.graphDiv.getBoundingClientRect(),u,c,f;for(f=0;f<e.leftXs.length-1;f++)if(e.leftXs[f]+e.dimWidths[f]-2<=n&&n<=e.leftXs[f+1]+2){var h=e.parcatsViewModel.dimensions[f],d=e.parcatsViewModel.dimensions[f+1];u=(h.x+h.width+d.x)/2,c=(e.topYs[f]+e.topYs[f+1]+e.height)/2;break}var v=e.parcatsViewModel.x+u,m=e.parcatsViewModel.y+c,b=QK.mostReadable(e.model.color,[\"black\",\"white\"]),p=e.model.count,k=p/e.parcatsViewModel.model.count,M={countLabel:p,probabilityLabel:k.toFixed(3)},T=[];e.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&T.push([\"Count:\",M.countLabel].join(\" \")),e.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&T.push([\"P:\",M.probabilityLabel].join(\" \"));var L=T.join(\"<br>\"),x=Dl.mouse(i)[0];Yk.loneHover({trace:a,x:v-s.left+l.left,y:m-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:x<v?\"right\":\"left\",hovertemplate:(a.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:a._input,fullData:a,count:p,probability:k}]},{container:o._hoverlayer.node(),outerContainer:o._paper.node(),gd:i})}}}function djt(e){if(!e.parcatsViewModel.dragDimension&&(rJ(Dl.select(this)),Yk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),e.parcatsViewModel.pathSelection.sort(eJ),e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1)){var t=Kk(e),r=tJ(e);e.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:t,event:Dl.event,constraints:r})}}function Kk(e){for(var t=[],r=MVe(e.parcatsViewModel),n=0;n<e.model.valueInds.length;n++){var i=e.model.valueInds[n];t.push({curveNumber:r,pointNumber:i})}return t}function tJ(e){for(var t={},r=e.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[e.model.categoryInds[n]];t[i.containerInd]=a.categoryValue}return e.model.rawColor!==void 0&&(t.color=e.model.rawColor),t}function vjt(e){if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Kk(e),r=tJ(e);e.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:t,event:Dl.event,constraints:r})}}function rJ(e){e.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function iJ(e){e.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return QK.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function pjt(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}function AVe(e){e.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function gjt(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}function nJ(e){e.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function $z(e){var t=e.parcatsViewModel.pathSelection,r=e.categoryViewModel.model.dimensionInd,n=e.categoryViewModel.model.categoryInd;return t.filter(function(i){return i.model.categoryInds[r]===n&&i.model.color===e.color})}function mjt(e){var t=Dl.select(e.parentNode).selectAll(\"rect.bandrect\");t.each(function(r){var n=$z(r);iJ(n),n.each(function(){kx.raiseToTop(this)})}),pjt(Dl.select(e.parentNode))}function yjt(e){var t=Dl.select(e).datum(),r=$z(t);iJ(r),r.each(function(){kx.raiseToTop(this)}),Dl.select(e.parentNode).selectAll(\"rect.bandrect\").filter(function(n){return n.color===t.color}).each(function(){kx.raiseToTop(this),gjt(Dl.select(this))})}function aJ(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=Dl.select(e.parentNode).selectAll(\"rect.bandrect\"),s=[];o.each(function(u){var c=$z(u);c.each(function(f){Array.prototype.push.apply(s,Kk(f))})});var l={};l[i.dimensionInd]=i.categoryValue,a.emit(t,{points:s,event:r,constraints:l})}function oJ(e,t,r){var n=Dl.select(e).datum(),i=n.categoryViewModel.model,a=n.parcatsViewModel.graphDiv,o=$z(n),s=[];o.each(function(u){Array.prototype.push.apply(s,Kk(u))});var l={};l[i.dimensionInd]=i.categoryValue,n.rawColor!==void 0&&(l.color=n.rawColor),a.emit(t,{points:s,event:r,constraints:l})}function SVe(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=Dl.select(r.parentNode).select(\"rect.catrect\"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=o.top+o.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,m=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,p={countLabel:v,categoryLabel:m,probabilityLabel:b.toFixed(3)},k=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&k.push([\"Count:\",p.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&k.push([\"P(\"+p.categoryLabel+\"):\",p.probabilityLabel].join(\" \"));var M=k.join(\"<br>\");return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:M,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:p,eventData:[{data:c._input,fullData:c,count:v,category:m,probability:b}]}}function _jt(e,t,r){var n=[];return Dl.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){var i=this;n.push(SVe(e,t,i))}),n}function xjt(e,t,r){e._fullLayout._calcInverseTransform(e);var n=e._fullLayout._invScaleX,i=e._fullLayout._invScaleY,a=r.getBoundingClientRect(),o=Dl.select(r).datum(),s=o.categoryViewModel,l=s.parcatsViewModel,u=l.model.dimensions[s.model.dimensionInd],c=l.trace,f=a.y+a.height/2,h,d;l.dimensions.length>1&&u.displayInd===l.dimensions.length-1?(h=a.left,d=\"left\"):(h=a.left+a.width,d=\"right\");var v=s.model.categoryLabel,m=o.parcatsViewModel.model.count,b=0;o.categoryViewModel.bands.forEach(function(P){P.color===o.color&&(b+=P.count)});var p=s.model.count,k=0;l.pathSelection.each(function(P){P.model.color===o.color&&(k+=P.model.count)});var M=b/m,T=b/k,L=b/p,x={countLabel:b,categoryLabel:v,probabilityLabel:M.toFixed(3)},C=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&C.push([\"Count:\",x.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&(C.push(\"P(color \\u2229 \"+v+\"): \"+x.probabilityLabel),C.push(\"P(\"+v+\" | color): \"+T.toFixed(3)),C.push(\"P(color | \"+v+\"): \"+L.toFixed(3)));var S=C.join(\"<br>\"),g=QK.mostReadable(o.color,[\"black\",\"white\"]);return{trace:c,x:n*(h-t.left),y:i*(f-t.top),text:S,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:g,fontSize:10,idealAlign:d,hovertemplate:c.hovertemplate,hovertemplateLabels:x,eventData:[{data:c._input,fullData:c,category:v,count:m,probability:M,categorycount:p,colorcount:k,bandcolorcount:b}]}}function bjt(e){if(!e.parcatsViewModel.dragDimension&&e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1){var t=Dl.mouse(this)[1];if(t<-1)return;var r=e.parcatsViewModel.graphDiv,n=r._fullLayout,i=n._paperdiv.node().getBoundingClientRect(),a=e.parcatsViewModel.hoveron,o=this;if(a===\"color\"?(yjt(o),oJ(o,\"plotly_hover\",Dl.event)):(mjt(o),aJ(o,\"plotly_hover\",Dl.event)),e.parcatsViewModel.hoverinfoItems.indexOf(\"none\")===-1){var s;a===\"category\"?s=SVe(r,i,o):a===\"color\"?s=xjt(r,i,o):a===\"dimension\"&&(s=_jt(r,i,o)),s&&Yk.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function wjt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(rJ(t.pathSelection),AVe(t.dimensionSelection.selectAll(\"g.category\")),nJ(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),Yk.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(eJ),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?oJ(n,\"plotly_unhover\",Dl.event):aJ(n,\"plotly_unhover\",Dl.event)}}function Tjt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,Dl.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=Dl.mouse(this)[0],n=Dl.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,kx.raiseToTop(this.parentNode),Dl.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.y<n&&n<=i.y+i.height&&(e.potentialClickBand=this)}))}),e.parcatsViewModel.dragDimension=e,Yk.loneUnhover(e.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function Ajt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragHasMoved=!0,e.dragDimensionDisplayInd!==null)){var t=e.dragDimensionDisplayInd,r=t-1,n=t+1,i=e.parcatsViewModel.dimensions[t];if(e.dragCategoryDisplayInd!==null){var a=i.categories[e.dragCategoryDisplayInd];a.model.dragY+=Dl.event.dy;var o=a.model.dragY,s=a.model.displayInd,l=i.categories,u=l[s-1],c=l[s+1];u!==void 0&&o<u.y+u.height/2&&(a.model.displayInd=u.model.displayInd,u.model.displayInd=s),c!==void 0&&o+a.height>c.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=Dl.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=t),h!==void 0&&i.model.dragX+i.width>h.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}lJ(e.parcatsViewModel),sJ(e.parcatsViewModel),kVe(e.parcatsViewModel),EVe(e.parcatsViewModel)}}function Sjt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){Dl.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=MVe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?oJ(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent):aJ(e.potentialClickBand,\"plotly_click\",Dl.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,lJ(e.parcatsViewModel),sJ(e.parcatsViewModel);var f=Dl.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){kVe(e.parcatsViewModel,!0),EVe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&ujt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function MVe(e){for(var t,r=e.graphDiv._fullData,n=0;n<r.length;n++)if(e.key===r[n].uid){t=n;break}return t}function EVe(e,t){t===void 0&&(t=!1);function r(n){return t?n.transition():n}e.pathSelection.data(function(n){return n.paths},m1),r(e.pathSelection).attr(\"d\",function(n){return n.svgD})}function kVe(e,t){t===void 0&&(t=!1);function r(l){return t?l.transition():l}e.dimensionSelection.data(function(l){return l.dimensions},m1);var n=e.dimensionSelection.selectAll(\"g.category\").data(function(l){return l.categories},m1);r(e.dimensionSelection).attr(\"transform\",function(l){return Xk(l.x,0)}),r(n).attr(\"transform\",function(l){return Xk(0,l.y)});var i=n.select(\".dimlabel\");i.text(function(l,u){return u===0?l.parcatsViewModel.model.dimensions[l.model.dimensionInd].dimensionLabel:null});var a=n.select(\".catlabel\");a.attr(\"text-anchor\",function(l){return Zk(l)?\"start\":\"end\"}).attr(\"x\",function(l){return Zk(l)?l.width+5:-5}).each(function(l){var u,c;Zk(l)?(u=l.width+5,c=\"start\"):(u=-5,c=\"end\"),Dl.select(this).selectAll(\"tspan\").attr(\"x\",u).attr(\"text-anchor\",c)});var o=n.selectAll(\"rect.bandrect\").data(function(l){return l.bands},m1),s=o.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(l){return l.color}).attr(\"fill-opacity\",0);o.attr(\"fill\",function(l){return l.color}).attr(\"width\",function(l){return l.width}).attr(\"height\",function(l){return l.height}).attr(\"y\",function(l){return l.y}),nJ(s),o.each(function(){kx.raiseToTop(this)}),o.exit().remove()}function Mjt(e,t,r){var n=r[0],i=t.margin||{l:80,r:80,t:100,b:80},a=n.trace,o=a.domain,s=t.width,l=t.height,u=Math.floor(s*(o.x[1]-o.x[0])),c=Math.floor(l*(o.y[1]-o.y[0])),f=o.x[0]*s+i.l,h=t.height-o.y[1]*t.height+i.t,d=a.line.shape,v;a.hoverinfo===\"all\"?v=[\"count\",\"probability\"]:v=(a.hoverinfo||\"\").split(\"+\");var m={trace:a,key:a.uid,model:n,x:f,y:h,width:u,height:c,hoveron:a.hoveron,hoverinfoItems:v,arrangement:a.arrangement,bundlecolors:a.bundlecolors,sortpaths:a.sortpaths,labelfont:a.labelfont,categorylabelfont:a.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:e,traceSelection:null,pathSelection:null,dimensionSelection:null};return n.dimensions&&(lJ(m),sJ(m)),m}function TVe(e,t,r,n,i){var a=[],o=[],s,l;for(l=0;l<r.length-1;l++)s=ljt(r[l]+e[l],e[l+1]),a.push(s(i)),o.push(s(1-i));var u=\"M \"+e[0]+\",\"+t[0];for(u+=\"l\"+r[0]+\",0 \",l=1;l<r.length;l++)u+=\"C\"+a[l-1]+\",\"+t[l-1]+\" \"+o[l-1]+\",\"+t[l]+\" \"+e[l]+\",\"+t[l],u+=\"l\"+r[l]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",l=r.length-2;l>=0;l--)u+=\"C\"+o[l]+\",\"+(t[l+1]+n)+\" \"+a[l]+\",\"+(t[l]+n)+\" \"+(e[l]+r[l])+\",\"+(t[l]+n),u+=\"l-\"+r[l]+\",0 \";return u+=\"Z\",u}function sJ(e){var t=e.dimensions,r=e.model,n=t.map(function(q){return q.categories.map(function(V){return V.y})}),i=e.model.dimensions.map(function(q){return q.categories.map(function(V){return V.displayInd})}),a=e.model.dimensions.map(function(q){return q.displayInd}),o=e.dimensions.map(function(q){return q.model.dimensionInd}),s=t.map(function(q){return q.x}),l=t.map(function(q){return q.width}),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(q){var V=q.categoryInds.map(function(Z,j){return i[j][Z]}),G=o.map(function(Z){return V[Z]});return G}u.sort(function(q,V){var G=f(q),Z=f(V);return e.sortpaths===\"backward\"&&(G.reverse(),Z.reverse()),G.push(q.valueInds[0]),Z.push(V.valueInds[0]),e.bundlecolors&&(G.unshift(q.rawColor),Z.unshift(V.rawColor)),G<Z?-1:G>Z?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(q){return q.height}).reduce(function(q,V){return q+V}),m=0;m<u.length;m++){var b=u[m],p;d>0?p=v*(b.count/d):p=0;for(var k=new Array(n.length),M=0;M<b.categoryInds.length;M++){var T=b.categoryInds[M],L=i[M][T],x=a[M];k[x]=n[x][L],n[x][L]+=p;var C=e.dimensions[x].categories[L],S=C.bands.length,g=C.bands[S-1];if(g===void 0||b.rawColor!==g.rawColor){var P=g===void 0?0:g.y+g.height;C.bands.push({key:P,color:b.color,rawColor:b.rawColor,height:p,width:C.width,count:b.count,y:P,categoryViewModel:C,parcatsViewModel:e})}else{var E=C.bands[S-1];E.height+=p,E.count+=b.count}}var z;e.pathShape===\"hspline\"?z=TVe(s,k,l,p,.5):z=TVe(s,k,l,p,0),h[m]={key:b.valueInds[0],model:b,height:p,leftXs:s,topYs:k,dimWidths:l,svgD:z,parcatsViewModel:e}}e.paths=h}function lJ(e){var t=e.model.dimensions.map(function(o){return{displayInd:o.displayInd,dimensionInd:o.dimensionInd}});t.sort(function(o,s){return o.displayInd-s.displayInd});var r=[];for(var n in t){var i=t[n].dimensionInd,a=e.model.dimensions[i];r.push(Ejt(e,a))}e.dimensions=r}function Ejt(e,t){var r=40,n=16,i=e.model.dimensions.length,a=t.displayInd,o,s,l;i>1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),m,b,p,k,M,T=(c-f)*h/2,L=t.categories.map(function(x){return{displayInd:x.displayInd,categoryInd:x.categoryInd}});for(L.sort(function(x,C){return x.displayInd-C.displayInd}),M=0;M<f;M++)k=L[M].categoryInd,b=t.categories[k],d>0?m=b.count/d*v:m=0,p={key:b.valueInds[0],model:b,width:n,height:m,y:b.dragY!==null?b.dragY:T,bands:[],parcatsViewModel:e},T=T+m+h,u.push(p);return{key:t.dimensionInd,x:t.dragX!==null?t.dragX:l,y:0,width:n,model:t,categories:u,parcatsViewModel:e,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}});var uJ=ye((Hxr,PVe)=>{\"use strict\";var kjt=LVe();PVe.exports=function(t,r,n,i){var a=t._fullLayout,o=a._paper,s=a._size;kjt(t,o,r,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},n,i)}});var RVe=ye(Qz=>{\"use strict\";var Cjt=Id().getModuleCalcData,Ljt=uJ(),IVe=\"parcats\";Qz.name=IVe;Qz.plot=function(e,t,r,n){var i=Cjt(e.calcdata,IVe);if(i.length){var a=i[0];Ljt(e,a,r,n)}};Qz.clean=function(e,t,r,n){var i=n._has&&n._has(\"parcats\"),a=t._has&&t._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}});var FVe=ye((Wxr,DVe)=>{\"use strict\";DVe.exports={attributes:$K(),supplyDefaults:_Ve(),calc:bVe(),plot:uJ(),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:RVe(),categories:[\"noOpacity\"],meta:{}}});var qVe=ye((Xxr,zVe)=>{\"use strict\";zVe.exports=FVe()});var y1=ye((Zxr,HVe)=>{\"use strict\";var Pjt=r_(),OVe=\"1.13.4\",VVe='\\xA9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',BVe=['\\xA9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',VVe].join(\" \"),NVe=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a 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custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install @plotly/mapbox-gl@\"+OVe+\".\"].join(`\n",
+       "`),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(`\n",
+       "`),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",UVe.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(`\n",
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fJ=ye((Jxr,QVe)=>{\"use strict\";var Wjt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];QVe.exports={isSupportedFont:function(e){return Wjt.indexOf(e)!==-1}}});var rGe=ye(($xr,tGe)=>{\"use strict\";var Qk=Pr(),hJ=Ru(),Xjt=$p(),Zjt=D0(),Yjt=F0(),Kjt=Fg(),eGe=e7(),Jjt=fJ().isSupportedFont;tGe.exports=function(t,r,n,i){function a(p,k){return Qk.coerce(t,r,eGe,p,k)}function o(p,k){return Qk.coerce2(t,r,eGe,p,k)}var s=$jt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),hJ.hasMarkers(r)){Xjt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Qk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Qk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}hJ.hasLines(r)&&(Zjt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,m=a(\"cluster.enabled\",v);if(m||hJ.hasText(r)){var 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vGe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:I5+t+\"-fill\",line:I5+t+\"-line\",circle:I5+t+\"-circle\",symbol:I5+t+\"-symbol\",cluster:I5+t+\"-cluster\",clusterCount:I5+t+\"-cluster-count\"},this.below=null}var eC=vGe.prototype;eC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&uWt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};eC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};eC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};eC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=dGe(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(M){M||u.addSource(\"circle\",a.circle,r.cluster);for(var T=ng.cluster,L=0;L<T.length;L++){var x=T[L],C=a[x];u.addLayer(x,C,o)}}function f(M){for(var T=ng.cluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x])}M||i.removeSource(u.sourceIds.circle)}function h(M){for(var T=ng.nonCluster,L=0;L<T.length;L++){var x=T[L],C=a[x];M||u.addSource(x,C),u.addLayer(x,C,o)}}function d(M){for(var T=ng.nonCluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x]),M||i.removeSource(u.sourceIds[x])}}function v(M){l?f(M):d(M)}function m(M){s?c(M):h(M)}function b(){for(var M=s?ng.cluster:ng.nonCluster,T=0;T<M.length;T++){var L=M[T],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||m():l!==s?(v(),m()):(this.below!==o&&(v(!0),m(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};eC.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?ng.cluster:ng.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};pGe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new vGe(t,n.uid,i,a),s=dGe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<ng.cluster.length;u++)c=ng.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<ng.nonCluster.length;u++)c=ng.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var a7=ye((ibr,yGe)=>{\"use strict\";var cWt=ef(),mJ=Pr(),fWt=xT(),hWt=mJ.fillText,dWt=fs().BADNUM,vWt=y1().traceLayerPrefix;function pWt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=vWt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(S){return S.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function m(S){var g=S.lonlat;if(g[0]===dWt||c&&l.indexOf(S.i+1)===-1)return 1/0;var P=mJ.modHalf(g[0],360),E=g[1],z=s.project([P,E]),q=z.x-a.c2p([v,E]),V=z.y-o.c2p([P,r]),G=Math.max(3,S.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-G,1-3/G)}if(cWt.getClosest(n,m,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[mJ.modHalf(p[0],360)+d,p[1]],M=a.c2p(k),T=o.c2p(k),L=b.mrc||1;e.x0=M-L,e.x1=M+L,e.y0=T-L,e.y1=T+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=fWt(i,b),e.extraText=mGe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function mGe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&hWt(t,e,u),u.join(\"<br>\")}yGe.exports={hoverPoints:pWt,getExtraText:mGe}});var xGe=ye((nbr,_Ge)=>{\"use strict\";_Ge.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var wGe=ye((abr,bGe)=>{\"use strict\";var gWt=Pr(),mWt=Ru(),yWt=fs().BADNUM;bGe.exports=function(t,r){var n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].trace,l;if(!mWt.hasMarkers(s))return[];if(r===!1)for(l=0;l<n.length;l++)n[l].selected=0;else for(l=0;l<n.length;l++){var u=n[l],c=u.lonlat;if(c[0]!==yWt){var f=[gWt.modHalf(c[0],360),c[1]],h=[i.c2p(f),a.c2p(f)];r.contains(h,null,l,t)?(o.push({pointNumber:l,lon:c[0],lat:c[1]}),u.selected=1):u.selected=0}}return o}});var xJ=ye((yJ,_J)=>{(function(e,t){typeof yJ==\"object\"&&typeof _J!=\"undefined\"?_J.exports=t():(e=e||self,e.mapboxgl=t())})(yJ,(function(){\"use strict\";var e,t,r;function n(i,a){if(!e)e=a;else if(!t)t=a;else{var o=\"var sharedChunk = {}; (\"+e+\")(sharedChunk); (\"+t+\")(sharedChunk);\",s={};e(s),r=a(s),typeof window!=\"undefined\"&&(r.workerUrl=window.URL.createObjectURL(new Blob([o],{type:\"text/javascript\"})))}}return n([\"exports\"],function(i){\"use strict\";function a(y,_){return _={exports:{}},y(_,_.exports),_.exports}var o=\"1.13.4\",s=l;function 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it=_;it<I;it++)this.paintVertexArray.emplace(it,U,$);this.maxValue=Math.max(this.maxValue,Math.abs(U),Math.abs($))}},_r.prototype.upload=function(_){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=_.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},_r.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},_r.prototype.setUniform=function(_,I){var U=this.useIntegerZoom?Math.floor(I.zoom):I.zoom,$=p(this.expression.interpolationFactor(U,this.zoom,this.zoom+1),0,1);_.set($)},_r.prototype.getBinding=function(_,I,U){return new $e(_,I)};var Br=function(_,I,U,$,oe,he){this.expression=_,this.type=I,this.useIntegerZoom=U,this.zoom=$,this.layerId=he,this.zoomInPaintVertexArray=new oe,this.zoomOutPaintVertexArray=new 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sr=_;sr<I;sr++)this.zoomInPaintVertexArray.emplace(sr,yt.tl[0],yt.tl[1],yt.br[0],yt.br[1],it.tl[0],it.tl[1],it.br[0],it.br[1],yt.pixelRatio,it.pixelRatio),this.zoomOutPaintVertexArray.emplace(sr,yt.tl[0],yt.tl[1],yt.br[0],yt.br[1],Lt.tl[0],Lt.tl[1],Lt.br[0],Lt.br[1],yt.pixelRatio,Lt.pixelRatio)}},Br.prototype.upload=function(_){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=_.createVertexBuffer(this.zoomInPaintVertexArray,D.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=_.createVertexBuffer(this.zoomOutPaintVertexArray,D.members,this.expression.isStateDependent))},Br.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Di=function(_,I,U){this.binders={},this._buffers=[];var $=[];for(var oe in 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it=oe[De],yt=oe[De+1],Lt=he[De],sr=he[De+1],gr=[it,yt,sr,Lt,it];so(I,gr)&&(U=Math.min(U,SS(I,gr)))}return U===1/0?!1:U}function MS(y,_,I,U){for(var $=[],oe=[],he=U[8]*_,De=U[9]*_,it=U[10]*_,yt=U[11]*_,Lt=U[8]*I,sr=U[9]*I,gr=U[10]*I,hr=U[11]*I,Rr=0,ni=y;Rr<ni.length;Rr+=1){for(var ji=ni[Rr],wi=[],bn=[],rn=0,xn=ji;rn<xn.length;rn+=1){var In=xn[rn],Xn=In.x,ga=In.y,ha=U[0]*Xn+U[4]*ga+U[12],eo=U[1]*Xn+U[5]*ga+U[13],qa=U[2]*Xn+U[6]*ga+U[14],Za=U[3]*Xn+U[7]*ga+U[15],Jo=ha+he,to=eo+De,ao=qa+it,_s=Za+yt,jo=ha+Lt,kl=eo+sr,Iu=qa+gr,Cl=Za+hr,Ll=new u(Jo/_s,to/_s);Ll.z=ao/_s,wi.push(Ll);var yl=new u(jo/Cl,kl/Cl);yl.z=Iu/Cl,bn.push(yl)}$.push(wi),oe.push(bn)}return[$,oe]}function fq(y,_,I,U){for(var $=[],oe=0,he=y;oe<he.length;oe+=1){var De=he[oe],it=[De.x,De.y,U,1];my(it,it,_),$.push(new u(it[0]/it[3],it[1]/it[3]))}return $}var 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U.id})};sh.prototype.populate=function(_,I,U){this.hasPattern=Jw(\"line\",this.layers,I);for(var $=this.layers[0].layout.get(\"line-sort-key\"),oe=[],he=0,De=_;he<De.length;he+=1){var it=De[he],yt=it.feature,Lt=it.id,sr=it.index,gr=it.sourceLayerIndex,hr=this.layers[0]._featureFilter.needGeometry,Rr=Ja(yt,hr);if(this.layers[0]._featureFilter.filter(new Un(this.zoom),Rr,U)){var ni=$?$.evaluate(Rr,{},U):void 0,ji={id:Lt,properties:yt.properties,type:yt.type,sourceLayerIndex:gr,index:sr,geometry:hr?Rr.geometry:zn(yt),patterns:{},sortKey:ni};oe.push(ji)}}$&&oe.sort(function(qa,Za){return qa.sortKey-Za.sortKey});for(var wi=0,bn=oe;wi<bn.length;wi+=1){var rn=bn[wi],xn=rn,In=xn.geometry,Xn=xn.index,ga=xn.sourceLayerIndex;if(this.hasPattern){var ha=sb(\"line\",this.layers,rn,this.zoom,I);this.patternFeatures.push(ha)}else this.addFeature(rn,In,Xn,U,{});var eo=_[Xn].feature;I.featureIndex.insert(eo,In,Xn,ga,this.index)}},sh.prototype.update=function(_,I,U){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(_,I,this.stateDependentLayers,U)},sh.prototype.addFeatures=function(_,I,U){for(var $=0,oe=this.patternFeatures;$<oe.length;$+=1){var he=oe[$];this.addFeature(he,he.geometry,he.index,I,U)}},sh.prototype.isEmpty=function(){return this.layoutVertexArray.length===0},sh.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},sh.prototype.upload=function(_){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=_.createVertexBuffer(this.layoutVertexArray2,r6)),this.layoutVertexBuffer=_.createVertexBuffer(this.layoutVertexArray,t6),this.indexBuffer=_.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(_),this.uploaded=!0},sh.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},sh.prototype.lineFeatureClips=function(_){if(_.properties&&_.properties.hasOwnProperty(\"mapbox_clip_start\")&&_.properties.hasOwnProperty(\"mapbox_clip_end\")){var I=+_.properties.mapbox_clip_start,U=+_.properties.mapbox_clip_end;return{start:I,end:U}}},sh.prototype.addFeature=function(_,I,U,$,oe){var he=this.layers[0].layout,De=he.get(\"line-join\").evaluate(_,{}),it=he.get(\"line-cap\"),yt=he.get(\"line-miter-limit\"),Lt=he.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(_);for(var sr=0,gr=I;sr<gr.length;sr+=1){var hr=gr[sr];this.addLine(hr,_,De,it,yt,Lt)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,_,U,oe,$)},sh.prototype.addLine=function(_,I,U,$,oe,he){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var De=0;De<_.length-1;De++)this.totalDistance+=_[De].dist(_[De+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var it=ES[I.type]===\"Polygon\",yt=_.length;yt>=2&&_[yt-1].equals(_[yt-2]);)yt--;for(var Lt=0;Lt<yt-1&&_[Lt].equals(_[Lt+1]);)Lt++;if(!(yt<(it?3:2))){U===\"bevel\"&&(oe=1.05);var sr=this.overscaling<=16?cb*Ei/(512*this.overscaling):0,gr=this.segments.prepareSegment(yt*10,this.layoutVertexArray,this.indexArray),hr,Rr=void 0,ni=void 0,ji=void 0,wi=void 0;this.e1=this.e2=-1,it&&(hr=_[yt-2],wi=_[Lt].sub(hr)._unit()._perp());for(var bn=Lt;bn<yt;bn++)if(ni=bn===yt-1?it?_[Lt+1]:void 0:_[bn+1],!(ni&&_[bn].equals(ni))){wi&&(ji=wi),hr&&(Rr=hr),hr=_[bn],wi=ni?ni.sub(hr)._unit()._perp():ji,ji=ji||wi;var rn=ji.add(wi);(rn.x!==0||rn.y!==0)&&rn._unit();var xn=ji.x*wi.x+ji.y*wi.y,In=rn.x*wi.x+rn.y*wi.y,Xn=In!==0?1/In:1/0,ga=2*Math.sqrt(2-2*In),ha=In<i6&&Rr&&ni,eo=ji.x*wi.y-ji.y*wi.x>0;if(ha&&bn>Lt){var qa=hr.dist(Rr);if(qa>2*sr){var Za=hr.sub(hr.sub(Rr)._mult(sr/qa)._round());this.updateDistance(Rr,Za),this.addCurrentVertex(Za,ji,0,0,gr),Rr=Za}}var 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ni=De.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,ni),De.primitiveLength++),oe?this.e2=ni:this.e1=ni},sh.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},sh.prototype.updateDistance=function(_,I){this.distance+=_.dist(I),this.updateScaledDistance()},X(\"LineBucket\",sh,{omit:[\"layers\",\"patternFeatures\"]});var CS=new Or({\"line-cap\":new Me(Rn.layout_line[\"line-cap\"]),\"line-join\":new bt(Rn.layout_line[\"line-join\"]),\"line-miter-limit\":new Me(Rn.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Me(Rn.layout_line[\"line-round-limit\"]),\"line-sort-key\":new bt(Rn.layout_line[\"line-sort-key\"])}),LS=new Or({\"line-opacity\":new bt(Rn.paint_line[\"line-opacity\"]),\"line-color\":new bt(Rn.paint_line[\"line-color\"]),\"line-translate\":new 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y.push(this.readBoolean());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readBoolean());return y},readPackedFloat:function(y){if(this.type!==la.Bytes)return y.push(this.readFloat());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFloat());return y},readPackedDouble:function(y){if(this.type!==la.Bytes)return y.push(this.readDouble());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readDouble());return y},readPackedFixed32:function(y){if(this.type!==la.Bytes)return y.push(this.readFixed32());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFixed32());return y},readPackedSFixed32:function(y){if(this.type!==la.Bytes)return y.push(this.readSFixed32());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readSFixed32());return y},readPackedFixed64:function(y){if(this.type!==la.Bytes)return y.push(this.readFixed64());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readFixed64());return y},readPackedSFixed64:function(y){if(this.type!==la.Bytes)return y.push(this.readSFixed64());var _=uo(this);for(y=y||[];this.pos<_;)y.push(this.readSFixed64());return y},skip:function(y){var _=y&7;if(_===la.Varint)for(;this.buf[this.pos++]>127;);else if(_===la.Bytes)this.pos=this.readVarint()+this.pos;else if(_===la.Fixed32)this.pos+=4;else if(_===la.Fixed64)this.pos+=8;else throw new Error(\"Unimplemented type: \"+_)},writeTag:function(y,_){this.writeVarint(y<<3|_)},realloc:function(y){for(var _=this.length||16;_<this.pos+y;)_*=2;if(_!==this.length){var I=new Uint8Array(_);I.set(this.buf),this.buf=I,this.length=_}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(y){this.realloc(4),Df(this.buf,y,this.pos),this.pos+=4},writeSFixed32:function(y){this.realloc(4),Df(this.buf,y,this.pos),this.pos+=4},writeFixed64:function(y){this.realloc(8),Df(this.buf,y&-1,this.pos),Df(this.buf,Math.floor(y*fo),this.pos+4),this.pos+=8},writeSFixed64:function(y){this.realloc(8),Df(this.buf,y&-1,this.pos),Df(this.buf,Math.floor(y*fo),this.pos+4),this.pos+=8},writeVarint:function(y){if(y=+y||0,y>268435455||y<0){Ju(y,this);return}this.realloc(4),this.buf[this.pos++]=y&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=(y>>>=7)&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=(y>>>=7)&127|(y>127?128:0),!(y<=127)&&(this.buf[this.pos++]=y>>>7&127)))},writeSVarint:function(y){this.writeVarint(y<0?-y*2-1:y*2)},writeBoolean:function(y){this.writeVarint(!!y)},writeString:function(y){y=String(y),this.realloc(y.length*4),this.pos++;var _=this.pos;this.pos=pc(this.buf,y,this.pos);var I=this.pos-_;I>=128&&Qv(_,I,this),this.pos=_-1,this.writeVarint(I),this.pos+=I},writeFloat:function(y){this.realloc(4),Vo.write(this.buf,y,this.pos,!0,23,4),this.pos+=4},writeDouble:function(y){this.realloc(8),Vo.write(this.buf,y,this.pos,!0,52,8),this.pos+=8},writeBytes:function(y){var _=y.length;this.writeVarint(_),this.realloc(_);for(var I=0;I<_;I++)this.buf[this.pos++]=y[I]},writeRawMessage:function(y,_){this.pos++;var I=this.pos;y(_,this);var U=this.pos-I;U>=128&&Qv(I,U,this),this.pos=I-1,this.writeVarint(U),this.pos+=U},writeMessage:function(y,_,I){this.writeTag(y,la.Bytes),this.writeRawMessage(_,I)},writePackedVarint:function(y,_){_.length&&this.writeMessage(y,ud,_)},writePackedSVarint:function(y,_){_.length&&this.writeMessage(y,Ch,_)},writePackedBoolean:function(y,_){_.length&&this.writeMessage(y,jd,_)},writePackedFloat:function(y,_){_.length&&this.writeMessage(y,Gd,_)},writePackedDouble:function(y,_){_.length&&this.writeMessage(y,Hd,_)},writePackedFixed32:function(y,_){_.length&&this.writeMessage(y,Af,_)},writePackedSFixed32:function(y,_){_.length&&this.writeMessage(y,Lh,_)},writePackedFixed64:function(y,_){_.length&&this.writeMessage(y,Ed,_)},writePackedSFixed64:function(y,_){_.length&&this.writeMessage(y,cd,_)},writeBytesField:function(y,_){this.writeTag(y,la.Bytes),this.writeBytes(_)},writeFixed32Field:function(y,_){this.writeTag(y,la.Fixed32),this.writeFixed32(_)},writeSFixed32Field:function(y,_){this.writeTag(y,la.Fixed32),this.writeSFixed32(_)},writeFixed64Field:function(y,_){this.writeTag(y,la.Fixed64),this.writeFixed64(_)},writeSFixed64Field:function(y,_){this.writeTag(y,la.Fixed64),this.writeSFixed64(_)},writeVarintField:function(y,_){this.writeTag(y,la.Varint),this.writeVarint(_)},writeSVarintField:function(y,_){this.writeTag(y,la.Varint),this.writeSVarint(_)},writeStringField:function(y,_){this.writeTag(y,la.Bytes),this.writeString(_)},writeFloatField:function(y,_){this.writeTag(y,la.Fixed32),this.writeFloat(_)},writeDoubleField:function(y,_){this.writeTag(y,la.Fixed64),this.writeDouble(_)},writeBooleanField:function(y,_){this.writeVarintField(y,!!_)}};function Ro(y,_,I){var U=I.buf,$,oe;if(oe=U[I.pos++],$=(oe&112)>>4,oe<128||(oe=U[I.pos++],$|=(oe&127)<<3,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<10,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<17,oe<128)||(oe=U[I.pos++],$|=(oe&127)<<24,oe<128)||(oe=U[I.pos++],$|=(oe&1)<<31,oe<128))return $o(y,$,_);throw new Error(\"Expected varint not more than 10 bytes\")}function uo(y){return y.type===la.Bytes?y.readVarint()+y.pos:y.pos+1}function $o(y,_,I){return I?_*4294967296+(y>>>0):(_>>>0)*4294967296+(y>>>0)}function Ju(y,_){var I,U;if(y>=0?(I=y%4294967296|0,U=y/4294967296|0):(I=~(-y%4294967296),U=~(-y/4294967296),I^4294967295?I=I+1|0:(I=0,U=U+1|0)),y>=18446744073709552e3||y<-18446744073709552e3)throw new Error(\"Given varint doesn't fit into 10 bytes\");_.realloc(10),Ou(I,U,_),kh(U,_)}function Ou(y,_,I){I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos++]=y&127|128,y>>>=7,I.buf[I.pos]=y&127}function kh(y,_){var I=(y&7)<<4;_.buf[_.pos++]|=I|((y>>>=3)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127|((y>>>=7)?128:0),y&&(_.buf[_.pos++]=y&127)))))}function Qv(y,_,I){var U=_<=16383?1:_<=2097151?2:_<=268435455?3:Math.floor(Math.log(_)/(Math.LN2*7));I.realloc(U);for(var $=I.pos-1;$>=y;$--)I.buf[$+U]=I.buf[$]}function ud(y,_){for(var I=0;I<y.length;I++)_.writeVarint(y[I])}function Ch(y,_){for(var I=0;I<y.length;I++)_.writeSVarint(y[I])}function Gd(y,_){for(var I=0;I<y.length;I++)_.writeFloat(y[I])}function Hd(y,_){for(var I=0;I<y.length;I++)_.writeDouble(y[I])}function jd(y,_){for(var I=0;I<y.length;I++)_.writeBoolean(y[I])}function Af(y,_){for(var I=0;I<y.length;I++)_.writeFixed32(y[I])}function Lh(y,_){for(var I=0;I<y.length;I++)_.writeSFixed32(y[I])}function Ed(y,_){for(var I=0;I<y.length;I++)_.writeFixed64(y[I])}function cd(y,_){for(var I=0;I<y.length;I++)_.writeSFixed64(y[I])}function Yh(y,_){return(y[_]|y[_+1]<<8|y[_+2]<<16)+y[_+3]*16777216}function Df(y,_,I){y[I]=_,y[I+1]=_>>>8,y[I+2]=_>>>16,y[I+3]=_>>>24}function Fv(y,_){return(y[_]|y[_+1]<<8|y[_+2]<<16)+(y[_+3]<<24)}function uv(y,_,I){for(var U=\"\",$=_;$<I;){var oe=y[$],he=null,De=oe>239?4:oe>223?3:oe>191?2:1;if($+De>I)break;var it,yt,Lt;De===1?oe<128&&(he=oe):De===2?(it=y[$+1],(it&192)===128&&(he=(oe&31)<<6|it&63,he<=127&&(he=null))):De===3?(it=y[$+1],yt=y[$+2],(it&192)===128&&(yt&192)===128&&(he=(oe&15)<<12|(it&63)<<6|yt&63,(he<=2047||he>=55296&&he<=57343)&&(he=null))):De===4&&(it=y[$+1],yt=y[$+2],Lt=y[$+3],(it&192)===128&&(yt&192)===128&&(Lt&192)===128&&(he=(oe&15)<<18|(it&63)<<12|(yt&63)<<6|Lt&63,(he<=65535||he>=1114112)&&(he=null))),he===null?(he=65533,De=1):he>65535&&(he-=65536,U+=String.fromCharCode(he>>>10&1023|55296),he=56320|he&1023),U+=String.fromCharCode(he),$+=De}return U}function ru(y,_,I){return Wn.decode(y.subarray(_,I))}function pc(y,_,I){for(var U=0,$,oe;U<_.length;U++){if($=_.charCodeAt(U),$>55295&&$<57344)if(oe)if($<56320){y[I++]=239,y[I++]=191,y[I++]=189,oe=$;continue}else $=oe-55296<<10|$-56320|65536,oe=null;else{$>56319||U+1===_.length?(y[I++]=239,y[I++]=191,y[I++]=189):oe=$;continue}else oe&&(y[I++]=239,y[I++]=191,y[I++]=189,oe=null);$<128?y[I++]=$:($<2048?y[I++]=$>>6|192:($<65536?y[I++]=$>>12|224:(y[I++]=$>>18|240,y[I++]=$>>12&63|128),y[I++]=$>>6&63|128),y[I++]=$&63|128)}return I}var $u=3;function zv(y,_,I){y===1&&I.readMessage(hf,_)}function hf(y,_,I){if(y===3){var U=I.readMessage(B1,{}),$=U.id,oe=U.bitmap,he=U.width,De=U.height,it=U.left,yt=U.top,Lt=U.advance;_.push({id:$,bitmap:new Dv({width:he+2*$u,height:De+2*$u},oe),metrics:{width:he,height:De,left:it,top:yt,advance:Lt}})}}function B1(y,_,I){y===1?_.id=I.readVarint():y===2?_.bitmap=I.readBytes():y===3?_.width=I.readVarint():y===4?_.height=I.readVarint():y===5?_.left=I.readSVarint():y===6?_.top=I.readSVarint():y===7&&(_.advance=I.readVarint())}function p0(y){return new Xa(y).readFields(zv,[])}var Gp=$u;function ep(y){for(var _=0,I=0,U=0,$=y;U<$.length;U+=1){var oe=$[U];_+=oe.w*oe.h,I=Math.max(I,oe.w)}y.sort(function(ji,wi){return wi.h-ji.h});for(var he=Math.max(Math.ceil(Math.sqrt(_/.95)),I),De=[{x:0,y:0,w:he,h:1/0}],it=0,yt=0,Lt=0,sr=y;Lt<sr.length;Lt+=1)for(var gr=sr[Lt],hr=De.length-1;hr>=0;hr--){var Rr=De[hr];if(!(gr.w>Rr.w||gr.h>Rr.h)){if(gr.x=Rr.x,gr.y=Rr.y,yt=Math.max(yt,gr.y+gr.h),it=Math.max(it,gr.x+gr.w),gr.w===Rr.w&&gr.h===Rr.h){var ni=De.pop();hr<De.length&&(De[hr]=ni)}else gr.h===Rr.h?(Rr.x+=gr.w,Rr.w-=gr.w):gr.w===Rr.w?(Rr.y+=gr.h,Rr.h-=gr.h):(De.push({x:Rr.x+gr.w,y:Rr.y,w:Rr.w-gr.w,h:gr.h}),Rr.y+=gr.h,Rr.h-=gr.h);break}}return{w:it,h:yt,fill:_/(it*yt)||0}}var Gc=1,Yf=function(_,I){var U=I.pixelRatio,$=I.version,oe=I.stretchX,he=I.stretchY,De=I.content;this.paddedRect=_,this.pixelRatio=U,this.stretchX=oe,this.stretchY=he,this.content=De,this.version=$},tp={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};tp.tl.get=function(){return[this.paddedRect.x+Gc,this.paddedRect.y+Gc]},tp.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-Gc,this.paddedRect.y+this.paddedRect.h-Gc]},tp.tlbr.get=function(){return this.tl.concat(this.br)},tp.displaySize.get=function(){return[(this.paddedRect.w-Gc*2)/this.pixelRatio,(this.paddedRect.h-Gc*2)/this.pixelRatio]},Object.defineProperties(Yf.prototype,tp);var yg=function(_,I){var U={},$={};this.haveRenderCallbacks=[];var oe=[];this.addImages(_,U,oe),this.addImages(I,$,oe);var he=ep(oe),De=he.w,it=he.h,yt=new Eh({width:De||1,height:it||1});for(var Lt in _){var sr=_[Lt],gr=U[Lt].paddedRect;Eh.copy(sr.data,yt,{x:0,y:0},{x:gr.x+Gc,y:gr.y+Gc},sr.data)}for(var hr in I){var Rr=I[hr],ni=$[hr].paddedRect,ji=ni.x+Gc,wi=ni.y+Gc,bn=Rr.data.width,rn=Rr.data.height;Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji,y:wi},Rr.data),Eh.copy(Rr.data,yt,{x:0,y:rn-1},{x:ji,y:wi-1},{width:bn,height:1}),Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji,y:wi+rn},{width:bn,height:1}),Eh.copy(Rr.data,yt,{x:bn-1,y:0},{x:ji-1,y:wi},{width:1,height:rn}),Eh.copy(Rr.data,yt,{x:0,y:0},{x:ji+bn,y:wi},{width:1,height:rn})}this.image=yt,this.iconPositions=U,this.patternPositions=$};yg.prototype.addImages=function(_,I,U){for(var $ in _){var oe=_[$],he={x:0,y:0,w:oe.data.width+2*Gc,h:oe.data.height+2*Gc};U.push(he),I[$]=new Yf(he,oe),oe.hasRenderCallback&&this.haveRenderCallbacks.push($)}},yg.prototype.patchUpdatedImages=function(_,I){_.dispatchRenderCallbacks(this.haveRenderCallbacks);for(var U in 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oe=_.sections[$];oe.image?U.addImageSection(oe):U.addTextSection(oe,I)}return U},Kh.prototype.length=function(){return this.text.length},Kh.prototype.getSection=function(_){return this.sections[this.sectionIndex[_]]},Kh.prototype.getSectionIndex=function(_){return this.sectionIndex[_]},Kh.prototype.getCharCode=function(_){return this.text.charCodeAt(_)},Kh.prototype.verticalizePunctuation=function(){this.text=ln(this.text)},Kh.prototype.trim=function(){for(var _=0,I=0;I<this.text.length&&m0[this.text.charCodeAt(I)];I++)_++;for(var U=this.text.length,$=this.text.length-1;$>=0&&$>=_&&m0[this.text.charCodeAt($)];$--)U--;this.text=this.text.substring(_,U),this.sectionIndex=this.sectionIndex.slice(_,U)},Kh.prototype.substring=function(_,I){var U=new Kh;return U.text=this.text.substring(_,I),U.sectionIndex=this.sectionIndex.slice(_,I),U.sections=this.sections,U},Kh.prototype.toString=function(){return this.text},Kh.prototype.getMaxScale=function(){var _=this;return this.sectionIndex.reduce(function(I,U){return Math.max(I,_.sections[U].scale)},0)},Kh.prototype.addTextSection=function(_,I){this.text+=_.text,this.sections.push(by.forText(_.scale,_.fontStack||I));for(var U=this.sections.length-1,$=0;$<_.text.length;++$)this.sectionIndex.push(U)},Kh.prototype.addImageSection=function(_){var I=_.image?_.image.name:\"\";if(I.length===0){re(\"Can't add FormattedSection with an empty image.\");return}var U=this.getNextImageSectionCharCode();if(!U){re(\"Reached maximum number of images \"+(g0-r3+2));return}this.text+=String.fromCharCode(U),this.sections.push(by.forImage(I)),this.sectionIndex.push(this.sections.length-1)},Kh.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=g0?null:++this.imageSectionID:(this.imageSectionID=r3,this.imageSectionID)};function vq(y,_){for(var I=[],U=y.text,$=0,oe=0,he=_;oe<he.length;oe+=1){var De=he[oe];I.push(y.substring($,De)),$=De}return 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I=this.layers[0],U=I._unevaluatedLayout._values;this.textSizeData=xp(this.zoom,U[\"text-size\"]),this.iconSizeData=xp(this.zoom,U[\"icon-size\"]);var $=this.layers[0].layout,oe=$.get(\"symbol-sort-key\"),he=$.get(\"symbol-z-order\");this.canOverlap=$.get(\"text-allow-overlap\")||$.get(\"icon-allow-overlap\")||$.get(\"text-ignore-placement\")||$.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=he!==\"viewport-y\"&&oe.constantOr(1)!==void 0;var De=he===\"viewport-y\"||he===\"auto\"&&!this.sortFeaturesByKey;this.sortFeaturesByY=De&&this.canOverlap,$.get(\"symbol-placement\")===\"point\"&&(this.writingModes=$.get(\"text-writing-mode\").map(function(it){return cv[it]})),this.stateDependentLayerIds=this.layers.filter(function(it){return it.isStateDependent()}).map(function(it){return it.id}),this.sourceID=_.sourceID};Pu.prototype.createArrays=function(){this.text=new u3(new ci(this.layers,this.zoom,function(_){return/^text/.test(_)})),this.icon=new u3(new ci(this.layers,this.zoom,function(_){return/^icon/.test(_)})),this.glyphOffsetArray=new Ul,this.lineVertexArray=new ss,this.symbolInstances=new nl},Pu.prototype.calculateGlyphDependencies=function(_,I,U,$,oe){for(var he=0;he<_.length;he++)if(I[_.charCodeAt(he)]=!0,(U||$)&&oe){var De=zi[_.charAt(he)];De&&(I[De.charCodeAt(0)]=!0)}},Pu.prototype.populate=function(_,I,U){var $=this.layers[0],oe=$.layout,he=oe.get(\"text-font\"),De=oe.get(\"text-field\"),it=oe.get(\"icon-image\"),yt=(De.value.kind!==\"constant\"||De.value.value instanceof $l&&!De.value.value.isEmpty()||De.value.value.toString().length>0)&&(he.value.kind!==\"constant\"||he.value.value.length>0),Lt=it.value.kind!==\"constant\"||!!it.value.value||Object.keys(it.parameters).length>0,sr=oe.get(\"symbol-sort-key\");if(this.features=[],!(!yt&&!Lt)){for(var gr=I.iconDependencies,hr=I.glyphDependencies,Rr=I.availableImages,ni=new Un(this.zoom),ji=0,wi=_;ji<wi.length;ji+=1){var bn=wi[ji],rn=bn.feature,xn=bn.id,In=bn.index,Xn=bn.sourceLayerIndex,ga=$._featureFilter.needGeometry,ha=Ja(rn,ga);if($._featureFilter.filter(ni,ha,U)){ga||(ha.geometry=zn(rn));var eo=void 0;if(yt){var qa=$.getValueAndResolveTokens(\"text-field\",ha,U,Rr),Za=$l.factory(qa);itt(Za)&&(this.hasRTLText=!0),(!this.hasRTLText||yo()===\"unavailable\"||this.hasRTLText&&Ms.isParsed())&&(eo=pi(Za,$,ha))}var Jo=void 0;if(Lt){var to=$.getValueAndResolveTokens(\"icon-image\",ha,U,Rr);to instanceof fl?Jo=to:Jo=fl.fromString(to)}if(!(!eo&&!Jo)){var ao=this.sortFeaturesByKey?sr.evaluate(ha,{},U):void 0,_s={id:xn,text:eo,icon:Jo,index:In,sourceLayerIndex:Xn,geometry:ha.geometry,properties:rn.properties,type:ttt[rn.type],sortKey:ao};if(this.features.push(_s),Jo&&(gr[Jo.name]=!0),eo){var jo=he.evaluate(ha,{},U).join(\",\"),kl=oe.get(\"text-rotation-alignment\")===\"map\"&&oe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cv.vertical)>=0;for(var Iu=0,Cl=eo.sections;Iu<Cl.length;Iu+=1){var Ll=Cl[Iu];if(Ll.image)gr[Ll.image.name]=!0;else{var yl=Xt(eo.toString()),Qu=Ll.fontStack||jo,gc=hr[Qu]=hr[Qu]||{};this.calculateGlyphDependencies(Ll.text,gc,kl,this.allowVerticalPlacement,yl)}}}}}}oe.get(\"symbol-placement\")===\"line\"&&(this.features=vn(this.features)),this.sortFeaturesByKey&&this.features.sort(function(Sf,Ff){return Sf.sortKey-Ff.sortKey})}},Pu.prototype.update=function(_,I,U){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(_,I,this.layers,U),this.icon.programConfigurations.updatePaintArrays(_,I,this.layers,U))},Pu.prototype.isEmpty=function(){return this.symbolInstances.length===0&&!this.hasRTLText},Pu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Pu.prototype.upload=function(_){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(_),this.iconCollisionBox.upload(_)),this.text.upload(_,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(_,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Pu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Pu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Pu.prototype.addToLineVertexArray=function(_,I){var U=this.lineVertexArray.length;if(_.segment!==void 0){for(var $=_.dist(I[_.segment+1]),oe=_.dist(I[_.segment]),he={},De=_.segment+1;De<I.length;De++)he[De]={x:I[De].x,y:I[De].y,tileUnitDistanceFromAnchor:$},De<I.length-1&&($+=I[De+1].dist(I[De]));for(var it=_.segment||0;it>=0;it--)he[it]={x:I[it].x,y:I[it].y,tileUnitDistanceFromAnchor:oe},it>0&&(oe+=I[it-1].dist(I[it]));for(var yt=0;yt<I.length;yt++){var Lt=he[yt];this.lineVertexArray.emplaceBack(Lt.x,Lt.y,Lt.tileUnitDistanceFromAnchor)}}return{lineStartIndex:U,lineLength:this.lineVertexArray.length-U}},Pu.prototype.addSymbols=function(_,I,U,$,oe,he,De,it,yt,Lt,sr,gr){for(var hr=_.indexArray,Rr=_.layoutVertexArray,ni=_.segments.prepareSegment(4*I.length,Rr,hr,this.canOverlap?he.sortKey:void 0),ji=this.glyphOffsetArray.length,wi=ni.vertexLength,bn=this.allowVerticalPlacement&&De===cv.vertical?Math.PI/2:0,rn=he.text&&he.text.sections,xn=0;xn<I.length;xn++){var In=I[xn],Xn=In.tl,ga=In.tr,ha=In.bl,eo=In.br,qa=In.tex,Za=In.pixelOffsetTL,Jo=In.pixelOffsetBR,to=In.minFontScaleX,ao=In.minFontScaleY,_s=In.glyphOffset,jo=In.isSDF,kl=In.sectionIndex,Iu=ni.vertexLength,Cl=_s[1];f6(Rr,it.x,it.y,Xn.x,Cl+Xn.y,qa.x,qa.y,U,jo,Za.x,Za.y,to,ao),f6(Rr,it.x,it.y,ga.x,Cl+ga.y,qa.x+qa.w,qa.y,U,jo,Jo.x,Za.y,to,ao),f6(Rr,it.x,it.y,ha.x,Cl+ha.y,qa.x,qa.y+qa.h,U,jo,Za.x,Jo.y,to,ao),f6(Rr,it.x,it.y,eo.x,Cl+eo.y,qa.x+qa.w,qa.y+qa.h,U,jo,Jo.x,Jo.y,to,ao),bq(_.dynamicLayoutVertexArray,it,bn),hr.emplaceBack(Iu,Iu+1,Iu+2),hr.emplaceBack(Iu+1,Iu+2,Iu+3),ni.vertexLength+=4,ni.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(_s[0]),(xn===I.length-1||kl!==I[xn+1].sectionIndex)&&_.programConfigurations.populatePaintArrays(Rr.length,he,he.index,{},gr,rn&&rn[kl])}_.placedSymbolArray.emplaceBack(it.x,it.y,ji,this.glyphOffsetArray.length-ji,wi,yt,Lt,it.segment,U?U[0]:0,U?U[1]:0,$[0],$[1],De,0,!1,0,sr)},Pu.prototype._addCollisionDebugVertex=function(_,I,U,$,oe,he){return I.emplaceBack(0,0),_.emplaceBack(U.x,U.y,$,oe,Math.round(he.x),Math.round(he.y))},Pu.prototype.addCollisionDebugVertices=function(_,I,U,$,oe,he,De){var it=oe.segments.prepareSegment(4,oe.layoutVertexArray,oe.indexArray),yt=it.vertexLength,Lt=oe.layoutVertexArray,sr=oe.collisionVertexArray,gr=De.anchorX,hr=De.anchorY;this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(_,I)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(U,I)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(U,$)),this._addCollisionDebugVertex(Lt,sr,he,gr,hr,new u(_,$)),it.vertexLength+=4;var Rr=oe.indexArray;Rr.emplaceBack(yt,yt+1),Rr.emplaceBack(yt+1,yt+2),Rr.emplaceBack(yt+2,yt+3),Rr.emplaceBack(yt+3,yt),it.primitiveLength+=4},Pu.prototype.addDebugCollisionBoxes=function(_,I,U,$){for(var oe=_;oe<I;oe++){var he=this.collisionBoxArray.get(oe),De=he.x1,it=he.y1,yt=he.x2,Lt=he.y2;this.addCollisionDebugVertices(De,it,yt,Lt,$?this.textCollisionBox:this.iconCollisionBox,he.anchorPoint,U)}},Pu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new DS(Ji,ft.members,sa),this.iconCollisionBox=new DS(Ji,ft.members,sa);for(var _=0;_<this.symbolInstances.length;_++){var I=this.symbolInstances.get(_);this.addDebugCollisionBoxes(I.textBoxStartIndex,I.textBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.verticalTextBoxStartIndex,I.verticalTextBoxEndIndex,I,!0),this.addDebugCollisionBoxes(I.iconBoxStartIndex,I.iconBoxEndIndex,I,!1),this.addDebugCollisionBoxes(I.verticalIconBoxStartIndex,I.verticalIconBoxEndIndex,I,!1)}},Pu.prototype._deserializeCollisionBoxesForSymbol=function(_,I,U,$,oe,he,De,it,yt){for(var Lt={},sr=I;sr<U;sr++){var gr=_.get(sr);Lt.textBox={x1:gr.x1,y1:gr.y1,x2:gr.x2,y2:gr.y2,anchorPointX:gr.anchorPointX,anchorPointY:gr.anchorPointY},Lt.textFeatureIndex=gr.featureIndex;break}for(var hr=$;hr<oe;hr++){var Rr=_.get(hr);Lt.verticalTextBox={x1:Rr.x1,y1:Rr.y1,x2:Rr.x2,y2:Rr.y2,anchorPointX:Rr.anchorPointX,anchorPointY:Rr.anchorPointY},Lt.verticalTextFeatureIndex=Rr.featureIndex;break}for(var ni=he;ni<De;ni++){var ji=_.get(ni);Lt.iconBox={x1:ji.x1,y1:ji.y1,x2:ji.x2,y2:ji.y2,anchorPointX:ji.anchorPointX,anchorPointY:ji.anchorPointY},Lt.iconFeatureIndex=ji.featureIndex;break}for(var wi=it;wi<yt;wi++){var bn=_.get(wi);Lt.verticalIconBox={x1:bn.x1,y1:bn.y1,x2:bn.x2,y2:bn.y2,anchorPointX:bn.anchorPointX,anchorPointY:bn.anchorPointY},Lt.verticalIconFeatureIndex=bn.featureIndex;break}return Lt},Pu.prototype.deserializeCollisionBoxes=function(_){this.collisionArrays=[];for(var I=0;I<this.symbolInstances.length;I++){var U=this.symbolInstances.get(I);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(_,U.textBoxStartIndex,U.textBoxEndIndex,U.verticalTextBoxStartIndex,U.verticalTextBoxEndIndex,U.iconBoxStartIndex,U.iconBoxEndIndex,U.verticalIconBoxStartIndex,U.verticalIconBoxEndIndex))}},Pu.prototype.hasTextData=function(){return this.text.segments.get().length>0},Pu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Pu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Pu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Pu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Pu.prototype.addIndicesForPlacedSymbol=function(_,I){for(var U=_.placedSymbolArray.get(I),$=U.vertexStartIndex+U.numGlyphs*4,oe=U.vertexStartIndex;oe<$;oe+=4)_.indexArray.emplaceBack(oe,oe+1,oe+2),_.indexArray.emplaceBack(oe+1,oe+2,oe+3)},Pu.prototype.getSortedSymbolIndexes=function(_){if(this.sortedAngle===_&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;for(var I=Math.sin(_),U=Math.cos(_),$=[],oe=[],he=[],De=0;De<this.symbolInstances.length;++De){he.push(De);var it=this.symbolInstances.get(De);$.push(Math.round(I*it.anchorX+U*it.anchorY)|0),oe.push(it.featureIndex)}return he.sort(function(yt,Lt){return $[yt]-$[Lt]||oe[Lt]-oe[yt]}),he},Pu.prototype.addToSortKeyRanges=function(_,I){var U=this.sortKeyRanges[this.sortKeyRanges.length-1];U&&U.sortKey===I?U.symbolInstanceEnd=_+1:this.sortKeyRanges.push({sortKey:I,symbolInstanceStart:_,symbolInstanceEnd:_+1})},Pu.prototype.sortFeatures=function(_){var I=this;if(this.sortFeaturesByY&&this.sortedAngle!==_&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(_),this.sortedAngle=_,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var U=0,$=this.symbolInstanceIndexes;U<$.length;U+=1){var oe=$[U],he=this.symbolInstances.get(oe);this.featureSortOrder.push(he.featureIndex),[he.rightJustifiedTextSymbolIndex,he.centerJustifiedTextSymbolIndex,he.leftJustifiedTextSymbolIndex].forEach(function(De,it,yt){De>=0&&yt.indexOf(De)===it&&I.addIndicesForPlacedSymbol(I.text,De)}),he.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,he.verticalPlacedTextSymbolIndex),he.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.placedIconSymbolIndex),he.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,he.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},X(\"SymbolBucket\",Pu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Pu.MAX_GLYPHS=65535,Pu.addDynamicAttributes=bq;function ntt(y,_){return _.replace(/{([^{}]+)}/g,function(I,U){return U in y?String(y[U]):\"\"})}var att=new Or({\"symbol-placement\":new Me(Rn.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Me(Rn.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Me(Rn.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new bt(Rn.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Me(Rn.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Me(Rn.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Me(Rn.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Me(Rn.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Me(Rn.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new bt(Rn.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Me(Rn.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Me(Rn.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new bt(Rn.layout_symbol[\"icon-image\"]),\"icon-rotate\":new bt(Rn.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Me(Rn.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Me(Rn.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new bt(Rn.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new bt(Rn.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Me(Rn.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Me(Rn.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Me(Rn.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new bt(Rn.layout_symbol[\"text-field\"]),\"text-font\":new bt(Rn.layout_symbol[\"text-font\"]),\"text-size\":new bt(Rn.layout_symbol[\"text-size\"]),\"text-max-width\":new bt(Rn.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Me(Rn.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new bt(Rn.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new bt(Rn.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new bt(Rn.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Me(Rn.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new bt(Rn.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Me(Rn.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Me(Rn.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new bt(Rn.layout_symbol[\"text-rotate\"]),\"text-padding\":new Me(Rn.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Me(Rn.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new bt(Rn.layout_symbol[\"text-transform\"]),\"text-offset\":new bt(Rn.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Me(Rn.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Me(Rn.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Me(Rn.layout_symbol[\"text-optional\"])}),ott=new Or({\"icon-opacity\":new bt(Rn.paint_symbol[\"icon-opacity\"]),\"icon-color\":new bt(Rn.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new bt(Rn.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new bt(Rn.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new bt(Rn.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Me(Rn.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Me(Rn.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new bt(Rn.paint_symbol[\"text-opacity\"]),\"text-color\":new bt(Rn.paint_symbol[\"text-color\"],{runtimeType:ql,getOverride:function(y){return y.textColor},hasOverride:function(y){return!!y.textColor}}),\"text-halo-color\":new bt(Rn.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new bt(Rn.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new bt(Rn.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Me(Rn.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Me(Rn.paint_symbol[\"text-translate-anchor\"])}),wq={paint:ott,layout:att},c3=function(_){this.type=_.property.overrides?_.property.overrides.runtimeType:ac,this.defaultValue=_};c3.prototype.evaluate=function(_){if(_.formattedSection){var I=this.defaultValue.property.overrides;if(I&&I.hasOverride(_.formattedSection))return I.getOverride(_.formattedSection)}return _.feature&&_.featureState?this.defaultValue.evaluate(_.feature,_.featureState):this.defaultValue.property.specification.default},c3.prototype.eachChild=function(_){if(!this.defaultValue.isConstant()){var I=this.defaultValue.value;_(I._styleExpression.expression)}},c3.prototype.outputDefined=function(){return!1},c3.prototype.serialize=function(){return null},X(\"FormatSectionOverride\",c3,{omit:[\"defaultValue\"]});var stt=(function(y){function _(I){y.call(this,I,wq)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_.prototype.recalculate=function(U,$){if(y.prototype.recalculate.call(this,U,$),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout.get(\"symbol-placement\")!==\"point\"?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){var oe=this.layout.get(\"text-writing-mode\");if(oe){for(var he=[],De=0,it=oe;De<it.length;De+=1){var yt=it[De];he.indexOf(yt)<0&&he.push(yt)}this.layout._values[\"text-writing-mode\"]=he}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},_.prototype.getValueAndResolveTokens=function(U,$,oe,he){var De=this.layout.get(U).evaluate($,{},oe,he),it=this._unevaluatedLayout._values[U];return!it.isDataDriven()&&!Va(it.value)&&De?ntt($.properties,De):De},_.prototype.createBucket=function(U){return new Pu(U)},_.prototype.queryRadius=function(){return 0},_.prototype.queryIntersectsFeature=function(){return!1},_.prototype._setPaintOverrides=function(){for(var U=0,$=wq.paint.overridableProperties;U<$.length;U+=1){var oe=$[U];if(_.hasPaintOverride(this.layout,oe)){var he=this.paint.get(oe),De=new c3(he),it=new Ac(De,he.property.specification),yt=null;he.value.kind===\"constant\"||he.value.kind===\"source\"?yt=new Vc(\"source\",it):yt=new hc(\"composite\",it,he.value.zoomStops,he.value._interpolationType),this.paint._values[oe]=new dl(he.property,yt,he.parameters)}}},_.prototype._handleOverridablePaintPropertyUpdate=function(U,$,oe){return!this.layout||$.isDataDriven()||oe.isDataDriven()?!1:_.hasPaintOverride(this.layout,U)},_.hasPaintOverride=function(U,$){var oe=U.get(\"text-field\"),he=wq.paint.properties[$],De=!1,it=function(sr){for(var gr=0,hr=sr;gr<hr.length;gr+=1){var Rr=hr[gr];if(he.overrides&&he.overrides.hasOverride(Rr)){De=!0;return}}};if(oe.value.kind===\"constant\"&&oe.value.value instanceof $l)it(oe.value.value.sections);else if(oe.value.kind===\"source\"){var yt=function(sr){if(!De)if(sr instanceof Go&&Es(sr.value)===pl){var gr=sr.value;it(gr.sections)}else sr instanceof Gu?it(sr.sections):sr.eachChild(yt)},Lt=oe.value;Lt._styleExpression&&yt(Lt._styleExpression.expression)}return De},_})(vi),ltt=new Or({\"background-color\":new Me(Rn.paint_background[\"background-color\"]),\"background-pattern\":new Lr(Rn.paint_background[\"background-pattern\"]),\"background-opacity\":new Me(Rn.paint_background[\"background-opacity\"])}),utt={paint:ltt},ctt=(function(y){function _(I){y.call(this,I,utt)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_})(vi),ftt=new Or({\"raster-opacity\":new Me(Rn.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Me(Rn.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Me(Rn.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Me(Rn.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Me(Rn.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Me(Rn.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Me(Rn.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Me(Rn.paint_raster[\"raster-fade-duration\"])}),htt={paint:ftt},dtt=(function(y){function _(I){y.call(this,I,htt)}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_})(vi);function vtt(y){var _=[],I=y.id;return I===void 0&&_.push({message:\"layers.\"+I+': missing required property \"id\"'}),y.render===void 0&&_.push({message:\"layers.\"+I+': missing required method \"render\"'}),y.renderingMode&&y.renderingMode!==\"2d\"&&y.renderingMode!==\"3d\"&&_.push({message:\"layers.\"+I+': property \"renderingMode\" must be either \"2d\" or \"3d\"'}),_}var ptt=(function(y){function _(I){y.call(this,I,{}),this.implementation=I}return y&&(_.__proto__=y),_.prototype=Object.create(y&&y.prototype),_.prototype.constructor=_,_.prototype.is3D=function(){return this.implementation.renderingMode===\"3d\"},_.prototype.hasOffscreenPass=function(){return this.implementation.prerender!==void 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I={};if(!_)return I;for(var U=function(){var he=oe[$],De=he.layerIds.map(function(sr){return _.getLayer(sr)}).filter(Boolean);if(De.length!==0){he.layers=De,he.stateDependentLayerIds&&(he.stateDependentLayers=he.stateDependentLayerIds.map(function(sr){return De.filter(function(gr){return gr.id===sr})[0]}));for(var it=0,yt=De;it<yt.length;it+=1){var Lt=yt[it];I[Lt.id]=he}}},$=0,oe=y;$<oe.length;$+=1)U();return I}var d6=function(_){this._stringToNumber={},this._numberToString=[];for(var I=0;I<_.length;I++){var U=_[I];this._stringToNumber[U]=I,this._numberToString[I]=U}};d6.prototype.encode=function(_){return this._stringToNumber[_]},d6.prototype.decode=function(_){return this._numberToString[_]};var v6=function(_,I,U,$,oe){this.type=\"Feature\",this._vectorTileFeature=_,_._z=I,_._x=U,_._y=$,this.properties=_.properties,this.id=oe},Sq={geometry:{configurable:!0}};Sq.geometry.get=function(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Sq.geometry.set=function(y){this._geometry=y},v6.prototype.toJSON=function(){var _={geometry:this.geometry};for(var I in this)I===\"_geometry\"||I===\"_vectorTileFeature\"||(_[I]=this[I]);return _},Object.defineProperties(v6.prototype,Sq);var h3=function(){this.state={},this.stateChanges={},this.deletedStates={}};h3.prototype.updateState=function(_,I,U){var $=String(I);if(this.stateChanges[_]=this.stateChanges[_]||{},this.stateChanges[_][$]=this.stateChanges[_][$]||{},x(this.stateChanges[_][$],U),this.deletedStates[_]===null){this.deletedStates[_]={};for(var oe in this.state[_])oe!==$&&(this.deletedStates[_][oe]=null)}else{var he=this.deletedStates[_]&&this.deletedStates[_][$]===null;if(he){this.deletedStates[_][$]={};for(var De in this.state[_][$])U[De]||(this.deletedStates[_][$][De]=null)}else for(var it in U){var yt=this.deletedStates[_]&&this.deletedStates[_][$]&&this.deletedStates[_][$][it]===null;yt&&delete this.deletedStates[_][$][it]}}},h3.prototype.removeFeatureState=function(_,I,U){var $=this.deletedStates[_]===null;if(!$){var oe=String(I);if(this.deletedStates[_]=this.deletedStates[_]||{},U&&I!==void 0)this.deletedStates[_][oe]!==null&&(this.deletedStates[_][oe]=this.deletedStates[_][oe]||{},this.deletedStates[_][oe][U]=null);else if(I!==void 0){var he=this.stateChanges[_]&&this.stateChanges[_][oe];if(he){this.deletedStates[_][oe]={};for(U in this.stateChanges[_][oe])this.deletedStates[_][oe][U]=null}else this.deletedStates[_][oe]=null}else this.deletedStates[_]=null}},h3.prototype.getState=function(_,I){var U=String(I),$=this.state[_]||{},oe=this.stateChanges[_]||{},he=x({},$[U],oe[U]);if(this.deletedStates[_]===null)return{};if(this.deletedStates[_]){var De=this.deletedStates[_][I];if(De===null)return{};for(var it in De)delete he[it]}return he},h3.prototype.initializeTileState=function(_,I){_.setFeatureState(this.state,I)},h3.prototype.coalesceChanges=function(_,I){var U={};for(var $ in this.stateChanges){this.state[$]=this.state[$]||{};var oe={};for(var he in this.stateChanges[$])this.state[$][he]||(this.state[$][he]={}),x(this.state[$][he],this.stateChanges[$][he]),oe[he]=this.state[$][he];U[$]=oe}for(var De in this.deletedStates){this.state[De]=this.state[De]||{};var it={};if(this.deletedStates[De]===null)for(var yt in this.state[De])it[yt]={},this.state[De][yt]={};else for(var Lt in this.deletedStates[De]){var sr=this.deletedStates[De][Lt]===null;if(sr)this.state[De][Lt]={};else for(var gr=0,hr=Object.keys(this.deletedStates[De][Lt]);gr<hr.length;gr+=1){var Rr=hr[gr];delete this.state[De][Lt][Rr]}it[Lt]=this.state[De][Lt]}U[De]=U[De]||{},x(U[De],it)}if(this.stateChanges={},this.deletedStates={},Object.keys(U).length!==0)for(var ni in _){var ji=_[ni];ji.setFeatureState(U,I)}};var Ty=function(_,I){this.tileID=_,this.x=_.canonical.x,this.y=_.canonical.y,this.z=_.canonical.z,this.grid=new au(Ei,16,0),this.grid3D=new au(Ei,16,0),this.featureIndexArray=new Ys,this.promoteId=I};Ty.prototype.insert=function(_,I,U,$,oe,he){var De=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(U,$,oe);for(var it=he?this.grid3D:this.grid,yt=0;yt<I.length;yt++){for(var Lt=I[yt],sr=[1/0,1/0,-1/0,-1/0],gr=0;gr<Lt.length;gr++){var hr=Lt[gr];sr[0]=Math.min(sr[0],hr.x),sr[1]=Math.min(sr[1],hr.y),sr[2]=Math.max(sr[2],hr.x),sr[3]=Math.max(sr[3],hr.y)}sr[0]<Ei&&sr[1]<Ei&&sr[2]>=0&&sr[3]>=0&&it.insert(De,sr[0],sr[1],sr[2],sr[3])}},Ty.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new mg.VectorTile(new Xa(this.rawTileData)).layers,this.sourceLayerCoder=new d6(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ty.prototype.query=function(_,I,U,$){var oe=this;this.loadVTLayers();for(var he=_.params||{},De=Ei/_.tileSize/_.scale,it=xe(he.filter),yt=_.queryGeometry,Lt=_.queryPadding*De,sr=pee(yt),gr=this.grid.query(sr.minX-Lt,sr.minY-Lt,sr.maxX+Lt,sr.maxY+Lt),hr=pee(_.cameraQueryGeometry),Rr=this.grid3D.query(hr.minX-Lt,hr.minY-Lt,hr.maxX+Lt,hr.maxY+Lt,function(Xn,ga,ha,eo){return mp(_.cameraQueryGeometry,Xn-Lt,ga-Lt,ha+Lt,eo+Lt)}),ni=0,ji=Rr;ni<ji.length;ni+=1){var wi=ji[ni];gr.push(wi)}gr.sort(Att);for(var bn={},rn,xn=function(Xn){var ga=gr[Xn];if(ga!==rn){rn=ga;var ha=oe.featureIndexArray.get(ga),eo=null;oe.loadMatchingFeature(bn,ha.bucketIndex,ha.sourceLayerIndex,ha.featureIndex,it,he.layers,he.availableImages,I,U,$,function(qa,Za,Jo){return eo||(eo=zn(qa)),Za.queryIntersectsFeature(yt,qa,Jo,eo,oe.z,_.transform,De,_.pixelPosMatrix)})}},In=0;In<gr.length;In++)xn(In);return bn},Ty.prototype.loadMatchingFeature=function(_,I,U,$,oe,he,De,it,yt,Lt,sr){var gr=this.bucketLayerIDs[I];if(!(he&&!N(he,gr))){var hr=this.sourceLayerCoder.decode(U),Rr=this.vtLayers[hr],ni=Rr.feature($);if(oe.needGeometry){var ji=Ja(ni,!0);if(!oe.filter(new Un(this.tileID.overscaledZ),ji,this.tileID.canonical))return}else if(!oe.filter(new Un(this.tileID.overscaledZ),ni))return;for(var wi=this.getId(ni,hr),bn=0;bn<gr.length;bn++){var rn=gr[bn];if(!(he&&he.indexOf(rn)<0)){var xn=it[rn];if(xn){var In={};wi!==void 0&&Lt&&(In=Lt.getState(xn.sourceLayer||\"_geojsonTileLayer\",wi));var Xn=x({},yt[rn]);Xn.paint=vee(Xn.paint,xn.paint,ni,In,De),Xn.layout=vee(Xn.layout,xn.layout,ni,In,De);var ga=!sr||sr(ni,xn,In);if(ga){var ha=new v6(ni,this.z,this.x,this.y,wi);ha.layer=Xn;var eo=_[rn];eo===void 0&&(eo=_[rn]=[]),eo.push({featureIndex:$,feature:ha,intersectionZ:ga})}}}}}},Ty.prototype.lookupSymbolFeatures=function(_,I,U,$,oe,he,De,it){var yt={};this.loadVTLayers();for(var Lt=xe(oe),sr=0,gr=_;sr<gr.length;sr+=1){var hr=gr[sr];this.loadMatchingFeature(yt,U,$,hr,Lt,he,De,it,I)}return yt},Ty.prototype.hasLayer=function(_){for(var I=0,U=this.bucketLayerIDs;I<U.length;I+=1)for(var $=U[I],oe=0,he=$;oe<he.length;oe+=1){var De=he[oe];if(_===De)return!0}return!1},Ty.prototype.getId=function(_,I){var U=_.id;if(this.promoteId){var $=typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[I];U=_.properties[$],typeof U==\"boolean\"&&(U=Number(U))}return U},X(\"FeatureIndex\",Ty,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});function vee(y,_,I,U,$){return G(y,function(oe,he){var De=_ instanceof Sc?_.get(he):null;return De&&De.evaluate?De.evaluate(I,U,$):De})}function pee(y){for(var _=1/0,I=1/0,U=-1/0,$=-1/0,oe=0,he=y;oe<he.length;oe+=1){var De=he[oe];_=Math.min(_,De.x),I=Math.min(I,De.y),U=Math.max(U,De.x),$=Math.max($,De.y)}return{minX:_,minY:I,maxX:U,maxY:$}}function Att(y,_){return _-y}var Stt=3e4,Jh=function(_,I){this.tileID=_,this.uid=g(),this.uses=0,this.tileSize=I,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jh.prototype.registerFadeDuration=function(_){var I=_+this.timeAdded;I<lt.now()||this.fadeEndTime&&I<this.fadeEndTime||(this.fadeEndTime=I)},Jh.prototype.wasRequested=function(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"},Jh.prototype.loadVectorData=function(_,I,U){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",!_){this.collisionBoxArray=new Ga;return}_.featureIndex&&(this.latestFeatureIndex=_.featureIndex,_.rawTileData?(this.latestRawTileData=_.rawTileData,this.latestFeatureIndex.rawTileData=_.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=_.collisionBoxArray,this.buckets=Ttt(_.buckets,I.style),this.hasSymbolBuckets=!1;for(var $ in this.buckets){var oe=this.buckets[$];if(oe instanceof Pu)if(this.hasSymbolBuckets=!0,U)oe.justReloaded=!0;else break}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var he in this.buckets){var De=this.buckets[he];if(De instanceof Pu&&De.hasRTLText){this.hasRTLText=!0,Xs();break}}this.queryPadding=0;for(var it in this.buckets){var yt=this.buckets[it];this.queryPadding=Math.max(this.queryPadding,I.style.getLayer(it).queryRadius(yt))}_.imageAtlas&&(this.imageAtlas=_.imageAtlas),_.glyphAtlasImage&&(this.glyphAtlasImage=_.glyphAtlasImage)},Jh.prototype.unloadVectorData=function(){for(var _ in this.buckets)this.buckets[_].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jh.prototype.getBucket=function(_){return this.buckets[_.id]},Jh.prototype.upload=function(_){for(var I in this.buckets){var U=this.buckets[I];U.uploadPending()&&U.upload(_)}var $=_.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new db(_,this.imageAtlas.image,$.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new db(_,this.glyphAtlasImage,$.ALPHA),this.glyphAtlasImage=null)},Jh.prototype.prepare=function(_){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(_,this.imageAtlasTexture)},Jh.prototype.queryRenderedFeatures=function(_,I,U,$,oe,he,De,it,yt,Lt){return!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData?{}:this.latestFeatureIndex.query({queryGeometry:$,cameraQueryGeometry:oe,scale:he,tileSize:this.tileSize,pixelPosMatrix:Lt,transform:it,params:De,queryPadding:this.queryPadding*yt},_,I,U)},Jh.prototype.querySourceFeatures=function(_,I){var U=this.latestFeatureIndex;if(!(!U||!U.rawTileData)){var $=U.loadVTLayers(),oe=I?I.sourceLayer:\"\",he=$._geojsonTileLayer||$[oe];if(he)for(var De=xe(I&&I.filter),it=this.tileID.canonical,yt=it.z,Lt=it.x,sr=it.y,gr={z:yt,x:Lt,y:sr},hr=0;hr<he.length;hr++){var Rr=he.feature(hr);if(De.needGeometry){var ni=Ja(Rr,!0);if(!De.filter(new Un(this.tileID.overscaledZ),ni,this.tileID.canonical))continue}else if(!De.filter(new Un(this.tileID.overscaledZ),Rr))continue;var ji=U.getId(Rr,oe),wi=new v6(Rr,yt,Lt,sr,ji);wi.tile=gr,_.push(wi)}}},Jh.prototype.hasData=function(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"},Jh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jh.prototype.setExpiryData=function(_){var I=this.expirationTime;if(_.cacheControl){var U=ge(_.cacheControl);U[\"max-age\"]&&(this.expirationTime=Date.now()+U[\"max-age\"]*1e3)}else _.expires&&(this.expirationTime=new Date(_.expires).getTime());if(this.expirationTime){var $=Date.now(),oe=!1;if(this.expirationTime>$)oe=!1;else if(!I)oe=!0;else if(this.expirationTime<I)oe=!0;else{var he=this.expirationTime-I;he?this.expirationTime=$+Math.max(he,Stt):oe=!0}oe?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)},Jh.prototype.setFeatureState=function(_,I){if(!(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(_).length===0)){var U=this.latestFeatureIndex.loadVTLayers();for(var $ in this.buckets)if(I.style.hasLayer($)){var oe=this.buckets[$],he=oe.layers[0].sourceLayer||\"_geojsonTileLayer\",De=U[he],it=_[he];if(!(!De||!it||Object.keys(it).length===0)){oe.update(it,De,this.imageAtlas&&this.imageAtlas.patternPositions||{});var yt=I&&I.style&&I.style.getLayer($);yt&&(this.queryPadding=Math.max(this.queryPadding,yt.queryRadius(oe)))}}}},Jh.prototype.holdingForFade=function(){return this.symbolFadeHoldUntil!==void 0},Jh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<lt.now()},Jh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jh.prototype.setHoldDuration=function(_){this.symbolFadeHoldUntil=lt.now()+_},Jh.prototype.setDependencies=function(_,I){for(var U={},$=0,oe=I;$<oe.length;$+=1){var he=oe[$];U[he]=!0}this.dependencies[_]=U},Jh.prototype.hasDependency=function(_,I){for(var U=0,$=_;U<$.length;U+=1){var oe=$[U],he=this.dependencies[oe];if(he)for(var De=0,it=I;De<it.length;De+=1){var yt=it[De];if(he[yt])return!0}}return!1};var Mtt=[\"type\",\"source\",\"source-layer\",\"minzoom\",\"maxzoom\",\"filter\",\"layout\"],V1=f.performance,gee=function(_){this._marks={start:[_.url,\"start\"].join(\"#\"),end:[_.url,\"end\"].join(\"#\"),measure:_.url.toString()},V1.mark(this._marks.start)};gee.prototype.finish=function(){V1.mark(this._marks.end);var _=V1.getEntriesByName(this._marks.measure);return 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strict\";function a(Gt){var wt=typeof Gt;if(wt===\"number\"||wt===\"boolean\"||wt===\"string\"||Gt===void 0||Gt===null)return JSON.stringify(Gt);if(Array.isArray(Gt)){for(var tr=\"[\",ir=0,wr=Gt;ir<wr.length;ir+=1){var Xr=wr[ir];tr+=a(Xr)+\",\"}return tr+\"]\"}for(var ti=Object.keys(Gt).sort(),$r=\"{\",Ri=0;Ri<ti.length;Ri++)$r+=JSON.stringify(ti[Ri])+\":\"+a(Gt[ti[Ri]])+\",\";return $r+\"}\"}function o(Gt){for(var wt=\"\",tr=0,ir=i.refProperties;tr<ir.length;tr+=1){var wr=ir[tr];wt+=\"/\"+a(Gt[wr])}return wt}function s(Gt,wt){for(var tr={},ir=0;ir<Gt.length;ir++){var wr=wt&&wt[Gt[ir].id]||o(Gt[ir]);wt&&(wt[Gt[ir].id]=wr);var Xr=tr[wr];Xr||(Xr=tr[wr]=[]),Xr.push(Gt[ir])}var ti=[];for(var $r in tr)ti.push(tr[$r]);return ti}var l=function(wt){this.keyCache={},wt&&this.replace(wt)};l.prototype.replace=function(wt){this._layerConfigs={},this._layers={},this.update(wt,[])},l.prototype.update=function(wt,tr){for(var ir=this,wr=0,Xr=wt;wr<Xr.length;wr+=1){var ti=Xr[wr];this._layerConfigs[ti.id]=ti;var $r=this._layers[ti.id]=i.createStyleLayer(ti);$r._featureFilter=i.featureFilter($r.filter),this.keyCache[ti.id]&&delete this.keyCache[ti.id]}for(var Ri=0,Hi=tr;Ri<Hi.length;Ri+=1){var en=Hi[Ri];delete this.keyCache[en],delete this._layerConfigs[en],delete this._layers[en]}this.familiesBySource={};for(var fn=s(i.values(this._layerConfigs),this.keyCache),yn=0,Mn=fn;yn<Mn.length;yn+=1){var Ba=Mn[yn],ua=Ba.map(function(jn){return ir._layers[jn.id]}),ma=ua[0];if(ma.visibility!==\"none\"){var Wa=ma.source||\"\",za=this.familiesBySource[Wa];za||(za=this.familiesBySource[Wa]={});var Xo=ma.sourceLayer||\"_geojsonTileLayer\",da=za[Xo];da||(da=za[Xo]=[]),da.push(ua)}}};var u=1,c=function(wt){var tr={},ir=[];for(var wr in wt){var Xr=wt[wr],ti=tr[wr]={};for(var $r in Xr){var Ri=Xr[+$r];if(!(!Ri||Ri.bitmap.width===0||Ri.bitmap.height===0)){var Hi={x:0,y:0,w:Ri.bitmap.width+2*u,h:Ri.bitmap.height+2*u};ir.push(Hi),ti[$r]={rect:Hi,metrics:Ri.metrics}}}}var en=i.potpack(ir),fn=en.w,yn=en.h,Mn=new i.AlphaImage({width:fn||1,height:yn||1});for(var Ba in wt){var ua=wt[Ba];for(var ma in ua){var Wa=ua[+ma];if(!(!Wa||Wa.bitmap.width===0||Wa.bitmap.height===0)){var za=tr[Ba][ma].rect;i.AlphaImage.copy(Wa.bitmap,Mn,{x:0,y:0},{x:za.x+u,y:za.y+u},Wa.bitmap)}}}this.image=Mn,this.positions=tr};i.register(\"GlyphAtlas\",c);var f=function(wt){this.tileID=new i.OverscaledTileID(wt.tileID.overscaledZ,wt.tileID.wrap,wt.tileID.canonical.z,wt.tileID.canonical.x,wt.tileID.canonical.y),this.uid=wt.uid,this.zoom=wt.zoom,this.pixelRatio=wt.pixelRatio,this.tileSize=wt.tileSize,this.source=wt.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=wt.showCollisionBoxes,this.collectResourceTiming=!!wt.collectResourceTiming,this.returnDependencies=!!wt.returnDependencies,this.promoteId=wt.promoteId};f.prototype.parse=function(wt,tr,ir,wr,Xr){var ti=this;this.status=\"parsing\",this.data=wt,this.collisionBoxArray=new i.CollisionBoxArray;var $r=new i.DictionaryCoder(Object.keys(wt.layers).sort()),Ri=new i.FeatureIndex(this.tileID,this.promoteId);Ri.bucketLayerIDs=[];var Hi={},en={featureIndex:Ri,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:ir},fn=tr.familiesBySource[this.source];for(var yn in fn){var Mn=wt.layers[yn];if(Mn){Mn.version===1&&i.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+yn+'\" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var Ba=$r.encode(yn),ua=[],ma=0;ma<Mn.length;ma++){var Wa=Mn.feature(ma),za=Ri.getId(Wa,yn);ua.push({feature:Wa,id:za,index:ma,sourceLayerIndex:Ba})}for(var Xo=0,da=fn[yn];Xo<da.length;Xo+=1){var jn=da[Xo],Ha=jn[0];if(!(Ha.minzoom&&this.zoom<Math.floor(Ha.minzoom))&&!(Ha.maxzoom&&this.zoom>=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(jn,this.zoom,ir);var vo=Hi[Ha.id]=Ha.createBucket({index:Ri.bucketLayerIDs.length,layers:jn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Ba,sourceID:this.source});vo.populate(ua,en,this.tileID.canonical),Ri.bucketLayerIDs.push(jn.map(function(ki){return ki.id}))}}}}var Gn,Ct,Sr,Jr,hi=i.mapObject(en.glyphDependencies,function(ki){return Object.keys(ki).map(Number)});Object.keys(hi).length?wr.send(\"getGlyphs\",{uid:this.uid,stacks:hi},function(ki,_n){Gn||(Gn=ki,Ct=_n,En.call(ti))}):Ct={};var hn=Object.keys(en.iconDependencies);hn.length?wr.send(\"getImages\",{icons:hn,source:this.source,tileID:this.tileID,type:\"icons\"},function(ki,_n){Gn||(Gn=ki,Sr=_n,En.call(ti))}):Sr={};var Sn=Object.keys(en.patternDependencies);Sn.length?wr.send(\"getImages\",{icons:Sn,source:this.source,tileID:this.tileID,type:\"patterns\"},function(ki,_n){Gn||(Gn=ki,Jr=_n,En.call(ti))}):Jr={},En.call(this);function En(){if(Gn)return Xr(Gn);if(Ct&&Sr&&Jr){var ki=new c(Ct),_n=new i.ImageAtlas(Sr,Jr);for(var ya in Hi){var ea=Hi[ya];ea instanceof i.SymbolBucket?(h(ea.layers,this.zoom,ir),i.performSymbolLayout(ea,Ct,ki.positions,Sr,_n.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):ea.hasPattern&&(ea instanceof i.LineBucket||ea instanceof i.FillBucket||ea instanceof i.FillExtrusionBucket)&&(h(ea.layers,this.zoom,ir),ea.addFeatures(en,this.tileID.canonical,_n.patternPositions))}this.status=\"done\",Xr(null,{buckets:i.values(Hi).filter(function(Ma){return!Ma.isEmpty()}),featureIndex:Ri,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:ki.image,imageAtlas:_n,glyphMap:this.returnDependencies?Ct:null,iconMap:this.returnDependencies?Sr:null,glyphPositions:this.returnDependencies?ki.positions:null})}}};function h(Gt,wt,tr){for(var ir=new i.EvaluationParameters(wt),wr=0,Xr=Gt;wr<Xr.length;wr+=1){var ti=Xr[wr];ti.recalculate(ir,tr)}}function d(Gt,wt){var tr=i.getArrayBuffer(Gt.request,function(ir,wr,Xr,ti){ir?wt(ir):wr&&wt(null,{vectorTile:new i.vectorTile.VectorTile(new i.pbf(wr)),rawData:wr,cacheControl:Xr,expires:ti})});return function(){tr.cancel(),wt()}}var v=function(wt,tr,ir,wr){this.actor=wt,this.layerIndex=tr,this.availableImages=ir,this.loadVectorData=wr||d,this.loading={},this.loaded={}};v.prototype.loadTile=function(wt,tr){var ir=this,wr=wt.uid;this.loading||(this.loading={});var Xr=wt&&wt.request&&wt.request.collectResourceTiming?new i.RequestPerformance(wt.request):!1,ti=this.loading[wr]=new f(wt);ti.abort=this.loadVectorData(wt,function($r,Ri){if(delete ir.loading[wr],$r||!Ri)return ti.status=\"done\",ir.loaded[wr]=ti,tr($r);var Hi=Ri.rawData,en={};Ri.expires&&(en.expires=Ri.expires),Ri.cacheControl&&(en.cacheControl=Ri.cacheControl);var fn={};if(Xr){var yn=Xr.finish();yn&&(fn.resourceTiming=JSON.parse(JSON.stringify(yn)))}ti.vectorTile=Ri.vectorTile,ti.parse(Ri.vectorTile,ir.layerIndex,ir.availableImages,ir.actor,function(Mn,Ba){if(Mn||!Ba)return tr(Mn);tr(null,i.extend({rawTileData:Hi.slice(0)},Ba,en,fn))}),ir.loaded=ir.loaded||{},ir.loaded[wr]=ti})},v.prototype.reloadTile=function(wt,tr){var ir=this,wr=this.loaded,Xr=wt.uid,ti=this;if(wr&&wr[Xr]){var $r=wr[Xr];$r.showCollisionBoxes=wt.showCollisionBoxes;var Ri=function(Hi,en){var fn=$r.reloadCallback;fn&&(delete $r.reloadCallback,$r.parse($r.vectorTile,ti.layerIndex,ir.availableImages,ti.actor,fn)),tr(Hi,en)};$r.status===\"parsing\"?$r.reloadCallback=Ri:$r.status===\"done\"&&($r.vectorTile?$r.parse($r.vectorTile,this.layerIndex,this.availableImages,this.actor,Ri):Ri())}},v.prototype.abortTile=function(wt,tr){var ir=this.loading,wr=wt.uid;ir&&ir[wr]&&ir[wr].abort&&(ir[wr].abort(),delete ir[wr]),tr()},v.prototype.removeTile=function(wt,tr){var ir=this.loaded,wr=wt.uid;ir&&ir[wr]&&delete ir[wr],tr()};var m=i.window.ImageBitmap,b=function(){this.loaded={}};b.prototype.loadTile=function(wt,tr){var ir=wt.uid,wr=wt.encoding,Xr=wt.rawImageData,ti=m&&Xr instanceof m?this.getImageData(Xr):Xr,$r=new i.DEMData(ir,ti,wr);this.loaded=this.loaded||{},this.loaded[ir]=$r,tr(null,$r)},b.prototype.getImageData=function(wt){(!this.offscreenCanvas||!this.offscreenCanvasContext)&&(this.offscreenCanvas=new OffscreenCanvas(wt.width,wt.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=wt.width,this.offscreenCanvas.height=wt.height,this.offscreenCanvasContext.drawImage(wt,0,0,wt.width,wt.height);var tr=this.offscreenCanvasContext.getImageData(-1,-1,wt.width+2,wt.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new i.RGBAImage({width:tr.width,height:tr.height},tr.data)},b.prototype.removeTile=function(wt){var tr=this.loaded,ir=wt.uid;tr&&tr[ir]&&delete tr[ir]};var p=k;function k(Gt,wt){var tr=Gt&&Gt.type,ir;if(tr===\"FeatureCollection\")for(ir=0;ir<Gt.features.length;ir++)k(Gt.features[ir],wt);else if(tr===\"GeometryCollection\")for(ir=0;ir<Gt.geometries.length;ir++)k(Gt.geometries[ir],wt);else if(tr===\"Feature\")k(Gt.geometry,wt);else if(tr===\"Polygon\")M(Gt.coordinates,wt);else if(tr===\"MultiPolygon\")for(ir=0;ir<Gt.coordinates.length;ir++)M(Gt.coordinates[ir],wt);return Gt}function M(Gt,wt){if(Gt.length!==0){T(Gt[0],wt);for(var tr=1;tr<Gt.length;tr++)T(Gt[tr],!wt)}}function T(Gt,wt){for(var tr=0,ir=0,wr=Gt.length,Xr=wr-1;ir<wr;Xr=ir++)tr+=(Gt[ir][0]-Gt[Xr][0])*(Gt[Xr][1]+Gt[ir][1]);tr>=0!=!!wt&&Gt.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,x=function(wt){this._feature=wt,this.extent=i.EXTENT,this.type=wt.type,this.properties=wt.tags,\"id\"in wt&&!isNaN(wt.id)&&(this.id=parseInt(wt.id,10))};x.prototype.loadGeometry=function(){if(this._feature.type===1){for(var wt=[],tr=0,ir=this._feature.geometry;tr<ir.length;tr+=1){var wr=ir[tr];wt.push([new i.Point$1(wr[0],wr[1])])}return wt}else{for(var Xr=[],ti=0,$r=this._feature.geometry;ti<$r.length;ti+=1){for(var Ri=$r[ti],Hi=[],en=0,fn=Ri;en<fn.length;en+=1){var yn=fn[en];Hi.push(new i.Point$1(yn[0],yn[1]))}Xr.push(Hi)}return Xr}},x.prototype.toGeoJSON=function(wt,tr,ir){return L.call(this,wt,tr,ir)};var C=function(wt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.EXTENT,this.length=wt.length,this._features=wt};C.prototype.feature=function(wt){return new x(this._features[wt])};var S=i.vectorTile.VectorTileFeature,g=P;function P(Gt,wt){this.options=wt||{},this.features=Gt,this.length=Gt.length}P.prototype.feature=function(Gt){return new E(this.features[Gt],this.options.extent)};function E(Gt,wt){this.id=typeof Gt.id==\"number\"?Gt.id:void 0,this.type=Gt.type,this.rawGeometry=Gt.type===1?[Gt.geometry]:Gt.geometry,this.properties=Gt.tags,this.extent=wt||4096}E.prototype.loadGeometry=function(){var Gt=this.rawGeometry;this.geometry=[];for(var wt=0;wt<Gt.length;wt++){for(var tr=Gt[wt],ir=[],wr=0;wr<tr.length;wr++)ir.push(new i.Point$1(tr[wr][0],tr[wr][1]));this.geometry.push(ir)}return this.geometry},E.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var Gt=this.geometry,wt=1/0,tr=-1/0,ir=1/0,wr=-1/0,Xr=0;Xr<Gt.length;Xr++)for(var ti=Gt[Xr],$r=0;$r<ti.length;$r++){var Ri=ti[$r];wt=Math.min(wt,Ri.x),tr=Math.max(tr,Ri.x),ir=Math.min(ir,Ri.y),wr=Math.max(wr,Ri.y)}return[wt,ir,tr,wr]},E.prototype.toGeoJSON=S.prototype.toGeoJSON;var z=Z,q=Z,V=j,G=g;function Z(Gt){var wt=new i.pbf;return N(Gt,wt),wt.finish()}function j(Gt,wt){wt=wt||{};var tr={};for(var ir in Gt)tr[ir]=new g(Gt[ir].features,wt),tr[ir].name=ir,tr[ir].version=wt.version,tr[ir].extent=wt.extent;return Z({layers:tr})}function N(Gt,wt){for(var tr in Gt.layers)wt.writeMessage(3,H,Gt.layers[tr])}function H(Gt,wt){wt.writeVarintField(15,Gt.version||1),wt.writeStringField(1,Gt.name||\"\"),wt.writeVarintField(5,Gt.extent||4096);var tr,ir={keys:[],values:[],keycache:{},valuecache:{}};for(tr=0;tr<Gt.length;tr++)ir.feature=Gt.feature(tr),wt.writeMessage(2,re,ir);var wr=ir.keys;for(tr=0;tr<wr.length;tr++)wt.writeStringField(3,wr[tr]);var Xr=ir.values;for(tr=0;tr<Xr.length;tr++)wt.writeMessage(4,ge,Xr[tr])}function re(Gt,wt){var tr=Gt.feature;tr.id!==void 0&&wt.writeVarintField(1,tr.id),wt.writeMessage(2,ae,Gt),wt.writeVarintField(3,tr.type),wt.writeMessage(4,Ce,tr)}function ae(Gt,wt){var tr=Gt.feature,ir=Gt.keys,wr=Gt.values,Xr=Gt.keycache,ti=Gt.valuecache;for(var $r in tr.properties){var Ri=Xr[$r];typeof Ri==\"undefined\"&&(ir.push($r),Ri=ir.length-1,Xr[$r]=Ri),wt.writeVarint(Ri);var Hi=tr.properties[$r],en=typeof Hi;en!==\"string\"&&en!==\"boolean\"&&en!==\"number\"&&(Hi=JSON.stringify(Hi));var fn=en+\":\"+Hi,yn=ti[fn];typeof yn==\"undefined\"&&(wr.push(Hi),yn=wr.length-1,ti[fn]=yn),wt.writeVarint(yn)}}function _e(Gt,wt){return(wt<<3)+(Gt&7)}function Ee(Gt){return Gt<<1^Gt>>31}function Ce(Gt,wt){for(var tr=Gt.loadGeometry(),ir=Gt.type,wr=0,Xr=0,ti=tr.length,$r=0;$r<ti;$r++){var Ri=tr[$r],Hi=1;ir===1&&(Hi=Ri.length),wt.writeVarint(_e(1,Hi));for(var en=ir===3?Ri.length-1:Ri.length,fn=0;fn<en;fn++){fn===1&&ir!==1&&wt.writeVarint(_e(2,en-1));var yn=Ri[fn].x-wr,Mn=Ri[fn].y-Xr;wt.writeVarint(Ee(yn)),wt.writeVarint(Ee(Mn)),wr+=yn,Xr+=Mn}ir===3&&wt.writeVarint(_e(7,1))}}function ge(Gt,wt){var tr=typeof Gt;tr===\"string\"?wt.writeStringField(1,Gt):tr===\"boolean\"?wt.writeBooleanField(7,Gt):tr===\"number\"&&(Gt%1!==0?wt.writeDoubleField(3,Gt):Gt<0?wt.writeSVarintField(6,Gt):wt.writeVarintField(5,Gt))}z.fromVectorTileJs=q,z.fromGeojsonVt=V,z.GeoJSONWrapper=G;function ie(Gt,wt,tr,ir,wr,Xr){if(!(wr-ir<=tr)){var ti=ir+wr>>1;Se(Gt,wt,ti,ir,wr,Xr%2),ie(Gt,wt,tr,ir,ti-1,Xr+1),ie(Gt,wt,tr,ti+1,wr,Xr+1)}}function Se(Gt,wt,tr,ir,wr,Xr){for(;wr>ir;){if(wr-ir>600){var ti=wr-ir+1,$r=tr-ir+1,Ri=Math.log(ti),Hi=.5*Math.exp(2*Ri/3),en=.5*Math.sqrt(Ri*Hi*(ti-Hi)/ti)*($r-ti/2<0?-1:1),fn=Math.max(ir,Math.floor(tr-$r*Hi/ti+en)),yn=Math.min(wr,Math.floor(tr+(ti-$r)*Hi/ti+en));Se(Gt,wt,tr,fn,yn,Xr)}var Mn=wt[2*tr+Xr],Ba=ir,ua=wr;for(ke(Gt,wt,ir,tr),wt[2*wr+Xr]>Mn&&ke(Gt,wt,ir,wr);Ba<ua;){for(ke(Gt,wt,Ba,ua),Ba++,ua--;wt[2*Ba+Xr]<Mn;)Ba++;for(;wt[2*ua+Xr]>Mn;)ua--}wt[2*ir+Xr]===Mn?ke(Gt,wt,ir,ua):(ua++,ke(Gt,wt,ua,wr)),ua<=tr&&(ir=ua+1),tr<=ua&&(wr=ua-1)}}function ke(Gt,wt,tr,ir){be(Gt,tr,ir),be(wt,2*tr,2*ir),be(wt,2*tr+1,2*ir+1)}function be(Gt,wt,tr){var ir=Gt[wt];Gt[wt]=Gt[tr],Gt[tr]=ir}function Be(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=[0,Gt.length-1,0],Ri=[],Hi,en;$r.length;){var fn=$r.pop(),yn=$r.pop(),Mn=$r.pop();if(yn-Mn<=ti){for(var Ba=Mn;Ba<=yn;Ba++)Hi=wt[2*Ba],en=wt[2*Ba+1],Hi>=tr&&Hi<=wr&&en>=ir&&en<=Xr&&Ri.push(Gt[Ba]);continue}var ua=Math.floor((Mn+yn)/2);Hi=wt[2*ua],en=wt[2*ua+1],Hi>=tr&&Hi<=wr&&en>=ir&&en<=Xr&&Ri.push(Gt[ua]);var ma=(fn+1)%2;(fn===0?tr<=Hi:ir<=en)&&($r.push(Mn),$r.push(ua-1),$r.push(ma)),(fn===0?wr>=Hi:Xr>=en)&&($r.push(ua+1),$r.push(yn),$r.push(ma))}return Ri}function Le(Gt,wt,tr,ir,wr,Xr){for(var ti=[0,Gt.length-1,0],$r=[],Ri=wr*wr;ti.length;){var Hi=ti.pop(),en=ti.pop(),fn=ti.pop();if(en-fn<=Xr){for(var yn=fn;yn<=en;yn++)me(wt[2*yn],wt[2*yn+1],tr,ir)<=Ri&&$r.push(Gt[yn]);continue}var Mn=Math.floor((fn+en)/2),Ba=wt[2*Mn],ua=wt[2*Mn+1];me(Ba,ua,tr,ir)<=Ri&&$r.push(Gt[Mn]);var ma=(Hi+1)%2;(Hi===0?tr-wr<=Ba:ir-wr<=ua)&&(ti.push(fn),ti.push(Mn-1),ti.push(ma)),(Hi===0?tr+wr>=Ba:ir+wr>=ua)&&(ti.push(Mn+1),ti.push(en),ti.push(ma))}return $r}function me(Gt,wt,tr,ir){var wr=Gt-tr,Xr=wt-ir;return wr*wr+Xr*Xr}var Pe=function(Gt){return Gt[0]},ce=function(Gt){return Gt[1]},He=function(wt,tr,ir,wr,Xr){tr===void 0&&(tr=Pe),ir===void 0&&(ir=ce),wr===void 0&&(wr=64),Xr===void 0&&(Xr=Float64Array),this.nodeSize=wr,this.points=wt;for(var ti=wt.length<65536?Uint16Array:Uint32Array,$r=this.ids=new ti(wt.length),Ri=this.coords=new Xr(wt.length*2),Hi=0;Hi<wt.length;Hi++)$r[Hi]=Hi,Ri[2*Hi]=tr(wt[Hi]),Ri[2*Hi+1]=ir(wt[Hi]);ie($r,Ri,wr,0,$r.length-1,0)};He.prototype.range=function(wt,tr,ir,wr){return Be(this.ids,this.coords,wt,tr,ir,wr,this.nodeSize)},He.prototype.within=function(wt,tr,ir){return Le(this.ids,this.coords,wt,tr,ir,this.nodeSize)};var lt={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(Gt){return Gt}},mt=function(wt){this.options=Ue(Object.create(lt),wt),this.trees=new Array(this.options.maxZoom+1)};mt.prototype.load=function(wt){var tr=this.options,ir=tr.log,wr=tr.minZoom,Xr=tr.maxZoom,ti=tr.nodeSize;ir&&console.time(\"total time\");var $r=\"prepare \"+wt.length+\" points\";ir&&console.time($r),this.points=wt;for(var Ri=[],Hi=0;Hi<wt.length;Hi++)wt[Hi].geometry&&Ri.push(at(wt[Hi],Hi));this.trees[Xr+1]=new He(Ri,Ae,rt,ti,Float32Array),ir&&console.timeEnd($r);for(var en=Xr;en>=wr;en--){var fn=+Date.now();Ri=this._cluster(Ri,en),this.trees[en]=new He(Ri,Ae,rt,ti,Float32Array),ir&&console.log(\"z%d: %d clusters in %dms\",en,Ri.length,+Date.now()-fn)}return ir&&console.timeEnd(\"total time\"),this},mt.prototype.getClusters=function(wt,tr){var ir=((wt[0]+180)%360+360)%360-180,wr=Math.max(-90,Math.min(90,wt[1])),Xr=wt[2]===180?180:((wt[2]+180)%360+360)%360-180,ti=Math.max(-90,Math.min(90,wt[3]));if(wt[2]-wt[0]>=360)ir=-180,Xr=180;else if(ir>Xr){var $r=this.getClusters([ir,wr,180,ti],tr),Ri=this.getClusters([-180,wr,Xr,ti],tr);return $r.concat(Ri)}for(var Hi=this.trees[this._limitZoom(tr)],en=Hi.range(Vt(ir),rr(ti),Vt(Xr),rr(wr)),fn=[],yn=0,Mn=en;yn<Mn.length;yn+=1){var Ba=Mn[yn],ua=Hi.points[Ba];fn.push(ua.numPoints?ct(ua):this.points[ua.index])}return fn},mt.prototype.getChildren=function(wt){var tr=this._getOriginId(wt),ir=this._getOriginZoom(wt),wr=\"No cluster with the specified id.\",Xr=this.trees[ir];if(!Xr)throw new Error(wr);var ti=Xr.points[tr];if(!ti)throw new Error(wr);for(var $r=this.options.radius/(this.options.extent*Math.pow(2,ir-1)),Ri=Xr.within(ti.x,ti.y,$r),Hi=[],en=0,fn=Ri;en<fn.length;en+=1){var yn=fn[en],Mn=Xr.points[yn];Mn.parentId===wt&&Hi.push(Mn.numPoints?ct(Mn):this.points[Mn.index])}if(Hi.length===0)throw new Error(wr);return Hi},mt.prototype.getLeaves=function(wt,tr,ir){tr=tr||10,ir=ir||0;var wr=[];return this._appendLeaves(wr,wt,tr,ir,0),wr},mt.prototype.getTile=function(wt,tr,ir){var wr=this.trees[this._limitZoom(wt)],Xr=Math.pow(2,wt),ti=this.options,$r=ti.extent,Ri=ti.radius,Hi=Ri/$r,en=(ir-Hi)/Xr,fn=(ir+1+Hi)/Xr,yn={features:[]};return this._addTileFeatures(wr.range((tr-Hi)/Xr,en,(tr+1+Hi)/Xr,fn),wr.points,tr,ir,Xr,yn),tr===0&&this._addTileFeatures(wr.range(1-Hi/Xr,en,1,fn),wr.points,Xr,ir,Xr,yn),tr===Xr-1&&this._addTileFeatures(wr.range(0,en,Hi/Xr,fn),wr.points,-1,ir,Xr,yn),yn.features.length?yn:null},mt.prototype.getClusterExpansionZoom=function(wt){for(var tr=this._getOriginZoom(wt)-1;tr<=this.options.maxZoom;){var ir=this.getChildren(wt);if(tr++,ir.length!==1)break;wt=ir[0].properties.cluster_id}return tr},mt.prototype._appendLeaves=function(wt,tr,ir,wr,Xr){for(var ti=this.getChildren(tr),$r=0,Ri=ti;$r<Ri.length;$r+=1){var Hi=Ri[$r],en=Hi.properties;if(en&&en.cluster?Xr+en.point_count<=wr?Xr+=en.point_count:Xr=this._appendLeaves(wt,en.cluster_id,ir,wr,Xr):Xr<wr?Xr++:wt.push(Hi),wt.length===ir)break}return Xr},mt.prototype._addTileFeatures=function(wt,tr,ir,wr,Xr,ti){for(var $r=0,Ri=wt;$r<Ri.length;$r+=1){var Hi=Ri[$r],en=tr[Hi],fn=en.numPoints,yn={type:1,geometry:[[Math.round(this.options.extent*(en.x*Xr-ir)),Math.round(this.options.extent*(en.y*Xr-wr))]],tags:fn?ar(en):this.points[en.index].properties},Mn=void 0;fn?Mn=en.id:this.options.generateId?Mn=en.index:this.points[en.index].id&&(Mn=this.points[en.index].id),Mn!==void 0&&(yn.id=Mn),ti.features.push(yn)}},mt.prototype._limitZoom=function(wt){return Math.max(this.options.minZoom,Math.min(+wt,this.options.maxZoom+1))},mt.prototype._cluster=function(wt,tr){for(var ir=[],wr=this.options,Xr=wr.radius,ti=wr.extent,$r=wr.reduce,Ri=wr.minPoints,Hi=Xr/(ti*Math.pow(2,tr)),en=0;en<wt.length;en++){var fn=wt[en];if(!(fn.zoom<=tr)){fn.zoom=tr;for(var yn=this.trees[tr+1],Mn=yn.within(fn.x,fn.y,Hi),Ba=fn.numPoints||1,ua=Ba,ma=0,Wa=Mn;ma<Wa.length;ma+=1){var za=Wa[ma],Xo=yn.points[za];Xo.zoom>tr&&(ua+=Xo.numPoints||1)}if(ua>=Ri){for(var da=fn.x*Ba,jn=fn.y*Ba,Ha=$r&&Ba>1?this._map(fn,!0):null,vo=(en<<5)+(tr+1)+this.points.length,Gn=0,Ct=Mn;Gn<Ct.length;Gn+=1){var Sr=Ct[Gn],Jr=yn.points[Sr];if(!(Jr.zoom<=tr)){Jr.zoom=tr;var hi=Jr.numPoints||1;da+=Jr.x*hi,jn+=Jr.y*hi,Jr.parentId=vo,$r&&(Ha||(Ha=this._map(fn,!0)),$r(Ha,this._map(Jr)))}}fn.parentId=vo,ir.push(Ht(da/ua,jn/ua,vo,ua,Ha))}else if(ir.push(fn),ua>1)for(var hn=0,Sn=Mn;hn<Sn.length;hn+=1){var En=Sn[hn],ki=yn.points[En];ki.zoom<=tr||(ki.zoom=tr,ir.push(ki))}}}return ir},mt.prototype._getOriginId=function(wt){return wt-this.points.length>>5},mt.prototype._getOriginZoom=function(wt){return(wt-this.points.length)%32},mt.prototype._map=function(wt,tr){if(wt.numPoints)return tr?Ue({},wt.properties):wt.properties;var ir=this.points[wt.index].properties,wr=this.options.map(ir);return tr&&wr===ir?Ue({},wr):wr};function Ht(Gt,wt,tr,ir,wr){return{x:Gt,y:wt,zoom:1/0,id:tr,parentId:-1,numPoints:ir,properties:wr}}function at(Gt,wt){var tr=Gt.geometry.coordinates,ir=tr[0],wr=tr[1];return{x:Vt(ir),y:rr(wr),zoom:1/0,index:wt,parentId:-1}}function ct(Gt){return{type:\"Feature\",id:Gt.id,properties:ar(Gt),geometry:{type:\"Point\",coordinates:[tt(Gt.x),je(Gt.y)]}}}function ar(Gt){var wt=Gt.numPoints,tr=wt>=1e4?Math.round(wt/1e3)+\"k\":wt>=1e3?Math.round(wt/100)/10+\"k\":wt;return Ue(Ue({},Gt.properties),{cluster:!0,cluster_id:Gt.id,point_count:wt,point_count_abbreviated:tr})}function Vt(Gt){return Gt/360+.5}function rr(Gt){var wt=Math.sin(Gt*Math.PI/180),tr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return tr<0?0:tr>1?1:tr}function tt(Gt){return(Gt-.5)*360}function je(Gt){var wt=(180-Gt*360)*Math.PI/180;return 360*Math.atan(Math.exp(wt))/Math.PI-90}function Ue(Gt,wt){for(var tr in wt)Gt[tr]=wt[tr];return Gt}function Ae(Gt){return Gt.x}function rt(Gt){return Gt.y}function St(Gt,wt,tr,ir){for(var wr=ir,Xr=tr-wt>>1,ti=tr-wt,$r,Ri=Gt[wt],Hi=Gt[wt+1],en=Gt[tr],fn=Gt[tr+1],yn=wt+3;yn<tr;yn+=3){var Mn=Tt(Gt[yn],Gt[yn+1],Ri,Hi,en,fn);if(Mn>wr)$r=yn,wr=Mn;else if(Mn===wr){var Ba=Math.abs(yn-Xr);Ba<ti&&($r=yn,ti=Ba)}}wr>ir&&($r-wt>3&&St(Gt,wt,$r,ir),Gt[$r+2]=wr,tr-$r>3&&St(Gt,$r,tr,ir))}function Tt(Gt,wt,tr,ir,wr,Xr){var ti=wr-tr,$r=Xr-ir;if(ti!==0||$r!==0){var Ri=((Gt-tr)*ti+(wt-ir)*$r)/(ti*ti+$r*$r);Ri>1?(tr=wr,ir=Xr):Ri>0&&(tr+=ti*Ri,ir+=$r*Ri)}return ti=Gt-tr,$r=wt-ir,ti*ti+$r*$r}function dt(Gt,wt,tr,ir){var wr={id:typeof Gt==\"undefined\"?null:Gt,type:wt,geometry:tr,tags:ir,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Et(wr),wr}function Et(Gt){var wt=Gt.geometry,tr=Gt.type;if(tr===\"Point\"||tr===\"MultiPoint\"||tr===\"LineString\")pt(Gt,wt);else if(tr===\"Polygon\"||tr===\"MultiLineString\")for(var ir=0;ir<wt.length;ir++)pt(Gt,wt[ir]);else if(tr===\"MultiPolygon\")for(ir=0;ir<wt.length;ir++)for(var wr=0;wr<wt[ir].length;wr++)pt(Gt,wt[ir][wr])}function pt(Gt,wt){for(var tr=0;tr<wt.length;tr+=3)Gt.minX=Math.min(Gt.minX,wt[tr]),Gt.minY=Math.min(Gt.minY,wt[tr+1]),Gt.maxX=Math.max(Gt.maxX,wt[tr]),Gt.maxY=Math.max(Gt.maxY,wt[tr+1])}function jt(Gt,wt){var tr=[];if(Gt.type===\"FeatureCollection\")for(var ir=0;ir<Gt.features.length;ir++)or(tr,Gt.features[ir],wt,ir);else Gt.type===\"Feature\"?or(tr,Gt,wt):or(tr,{geometry:Gt},wt);return tr}function or(Gt,wt,tr,ir){if(wt.geometry){var wr=wt.geometry.coordinates,Xr=wt.geometry.type,ti=Math.pow(tr.tolerance/((1<<tr.maxZoom)*tr.extent),2),$r=[],Ri=wt.id;if(tr.promoteId?Ri=wt.properties[tr.promoteId]:tr.generateId&&(Ri=ir||0),Xr===\"Point\")mr(wr,$r);else if(Xr===\"MultiPoint\")for(var Hi=0;Hi<wr.length;Hi++)mr(wr[Hi],$r);else if(Xr===\"LineString\")Ar(wr,$r,ti,!1);else if(Xr===\"MultiLineString\")if(tr.lineMetrics){for(Hi=0;Hi<wr.length;Hi++)$r=[],Ar(wr[Hi],$r,ti,!1),Gt.push(dt(Ri,\"LineString\",$r,wt.properties));return}else ei(wr,$r,ti,!1);else if(Xr===\"Polygon\")ei(wr,$r,ti,!0);else if(Xr===\"MultiPolygon\")for(Hi=0;Hi<wr.length;Hi++){var en=[];ei(wr[Hi],en,ti,!0),$r.push(en)}else if(Xr===\"GeometryCollection\"){for(Hi=0;Hi<wt.geometry.geometries.length;Hi++)or(Gt,{id:Ri,geometry:wt.geometry.geometries[Hi],properties:wt.properties},tr,ir);return}else throw new Error(\"Input data is not a valid GeoJSON object.\");Gt.push(dt(Ri,Xr,$r,wt.properties))}}function mr(Gt,wt){wt.push(qr(Gt[0])),wt.push(jr(Gt[1])),wt.push(0)}function Ar(Gt,wt,tr,ir){for(var wr,Xr,ti=0,$r=0;$r<Gt.length;$r++){var Ri=qr(Gt[$r][0]),Hi=jr(Gt[$r][1]);wt.push(Ri),wt.push(Hi),wt.push(0),$r>0&&(ir?ti+=(wr*Hi-Ri*Xr)/2:ti+=Math.sqrt(Math.pow(Ri-wr,2)+Math.pow(Hi-Xr,2))),wr=Ri,Xr=Hi}var en=wt.length-3;wt[2]=1,St(wt,0,en,tr),wt[en+2]=1,wt.size=Math.abs(ti),wt.start=0,wt.end=wt.size}function ei(Gt,wt,tr,ir){for(var wr=0;wr<Gt.length;wr++){var Xr=[];Ar(Gt[wr],Xr,tr,ir),wt.push(Xr)}}function qr(Gt){return Gt/360+.5}function jr(Gt){var wt=Math.sin(Gt*Math.PI/180),tr=.5-.25*Math.log((1+wt)/(1-wt))/Math.PI;return tr<0?0:tr>1?1:tr}function gt(Gt,wt,tr,ir,wr,Xr,ti,$r){if(tr/=wt,ir/=wt,Xr>=tr&&ti<ir)return Gt;if(ti<tr||Xr>=ir)return null;for(var Ri=[],Hi=0;Hi<Gt.length;Hi++){var en=Gt[Hi],fn=en.geometry,yn=en.type,Mn=wr===0?en.minX:en.minY,Ba=wr===0?en.maxX:en.maxY;if(Mn>=tr&&Ba<ir){Ri.push(en);continue}else if(Ba<tr||Mn>=ir)continue;var ua=[];if(yn===\"Point\"||yn===\"MultiPoint\")Ge(fn,ua,tr,ir,wr);else if(yn===\"LineString\")Je(fn,ua,tr,ir,wr,!1,$r.lineMetrics);else if(yn===\"MultiLineString\")et(fn,ua,tr,ir,wr,!1);else if(yn===\"Polygon\")et(fn,ua,tr,ir,wr,!0);else if(yn===\"MultiPolygon\")for(var ma=0;ma<fn.length;ma++){var Wa=[];et(fn[ma],Wa,tr,ir,wr,!0),Wa.length&&ua.push(Wa)}if(ua.length){if($r.lineMetrics&&yn===\"LineString\"){for(ma=0;ma<ua.length;ma++)Ri.push(dt(en.id,yn,ua[ma],en.tags));continue}(yn===\"LineString\"||yn===\"MultiLineString\")&&(ua.length===1?(yn=\"LineString\",ua=ua[0]):yn=\"MultiLineString\"),(yn===\"Point\"||yn===\"MultiPoint\")&&(yn=ua.length===3?\"Point\":\"MultiPoint\"),Ri.push(dt(en.id,yn,ua,en.tags))}}return Ri.length?Ri:null}function Ge(Gt,wt,tr,ir,wr){for(var Xr=0;Xr<Gt.length;Xr+=3){var ti=Gt[Xr+wr];ti>=tr&&ti<=ir&&(wt.push(Gt[Xr]),wt.push(Gt[Xr+1]),wt.push(Gt[Xr+2]))}}function Je(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=We(Gt),Ri=wr===0?At:Kt,Hi=Gt.start,en,fn,yn=0;yn<Gt.length-3;yn+=3){var Mn=Gt[yn],Ba=Gt[yn+1],ua=Gt[yn+2],ma=Gt[yn+3],Wa=Gt[yn+4],za=wr===0?Mn:Ba,Xo=wr===0?ma:Wa,da=!1;ti&&(en=Math.sqrt(Math.pow(Mn-ma,2)+Math.pow(Ba-Wa,2))),za<tr?Xo>tr&&(fn=Ri($r,Mn,Ba,ma,Wa,tr),ti&&($r.start=Hi+en*fn)):za>ir?Xo<ir&&(fn=Ri($r,Mn,Ba,ma,Wa,ir),ti&&($r.start=Hi+en*fn)):xt($r,Mn,Ba,ua),Xo<tr&&za>=tr&&(fn=Ri($r,Mn,Ba,ma,Wa,tr),da=!0),Xo>ir&&za<=ir&&(fn=Ri($r,Mn,Ba,ma,Wa,ir),da=!0),!Xr&&da&&(ti&&($r.end=Hi+en*fn),wt.push($r),$r=We(Gt)),ti&&(Hi+=en)}var jn=Gt.length-3;Mn=Gt[jn],Ba=Gt[jn+1],ua=Gt[jn+2],za=wr===0?Mn:Ba,za>=tr&&za<=ir&&xt($r,Mn,Ba,ua),jn=$r.length-3,Xr&&jn>=3&&($r[jn]!==$r[0]||$r[jn+1]!==$r[1])&&xt($r,$r[0],$r[1],$r[2]),$r.length&&wt.push($r)}function We(Gt){var wt=[];return wt.size=Gt.size,wt.start=Gt.start,wt.end=Gt.end,wt}function et(Gt,wt,tr,ir,wr,Xr){for(var ti=0;ti<Gt.length;ti++)Je(Gt[ti],wt,tr,ir,wr,Xr,!1)}function xt(Gt,wt,tr,ir){Gt.push(wt),Gt.push(tr),Gt.push(ir)}function At(Gt,wt,tr,ir,wr,Xr){var ti=(Xr-wt)/(ir-wt);return Gt.push(Xr),Gt.push(tr+(wr-tr)*ti),Gt.push(1),ti}function Kt(Gt,wt,tr,ir,wr,Xr){var ti=(Xr-tr)/(wr-tr);return Gt.push(wt+(ir-wt)*ti),Gt.push(Xr),Gt.push(1),ti}function Qt(Gt,wt){var tr=wt.buffer/wt.extent,ir=Gt,wr=gt(Gt,1,-1-tr,tr,0,-1,2,wt),Xr=gt(Gt,1,1-tr,2+tr,0,-1,2,wt);return(wr||Xr)&&(ir=gt(Gt,1,-tr,1+tr,0,-1,2,wt)||[],wr&&(ir=Mr(wr,1).concat(ir)),Xr&&(ir=ir.concat(Mr(Xr,-1)))),ir}function Mr(Gt,wt){for(var tr=[],ir=0;ir<Gt.length;ir++){var wr=Gt[ir],Xr=wr.type,ti;if(Xr===\"Point\"||Xr===\"MultiPoint\"||Xr===\"LineString\")ti=Gr(wr.geometry,wt);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\"){ti=[];for(var $r=0;$r<wr.geometry.length;$r++)ti.push(Gr(wr.geometry[$r],wt))}else if(Xr===\"MultiPolygon\")for(ti=[],$r=0;$r<wr.geometry.length;$r++){for(var Ri=[],Hi=0;Hi<wr.geometry[$r].length;Hi++)Ri.push(Gr(wr.geometry[$r][Hi],wt));ti.push(Ri)}tr.push(dt(wr.id,Xr,ti,wr.tags))}return tr}function Gr(Gt,wt){var tr=[];tr.size=Gt.size,Gt.start!==void 0&&(tr.start=Gt.start,tr.end=Gt.end);for(var ir=0;ir<Gt.length;ir+=3)tr.push(Gt[ir]+wt,Gt[ir+1],Gt[ir+2]);return tr}function Ir(Gt,wt){if(Gt.transformed)return Gt;var tr=1<<Gt.z,ir=Gt.x,wr=Gt.y,Xr,ti,$r;for(Xr=0;Xr<Gt.features.length;Xr++){var Ri=Gt.features[Xr],Hi=Ri.geometry,en=Ri.type;if(Ri.geometry=[],en===1)for(ti=0;ti<Hi.length;ti+=2)Ri.geometry.push(Yr(Hi[ti],Hi[ti+1],wt,tr,ir,wr));else for(ti=0;ti<Hi.length;ti++){var fn=[];for($r=0;$r<Hi[ti].length;$r+=2)fn.push(Yr(Hi[ti][$r],Hi[ti][$r+1],wt,tr,ir,wr));Ri.geometry.push(fn)}}return Gt.transformed=!0,Gt}function Yr(Gt,wt,tr,ir,wr,Xr){return[Math.round(tr*(Gt*ir-wr)),Math.round(tr*(wt*ir-Xr))]}function _i(Gt,wt,tr,ir,wr){for(var Xr=wt===wr.maxZoom?0:wr.tolerance/((1<<wt)*wr.extent),ti={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:tr,y:ir,z:wt,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},$r=0;$r<Gt.length;$r++){ti.numFeatures++,Pi(ti,Gt[$r],Xr,wr);var Ri=Gt[$r].minX,Hi=Gt[$r].minY,en=Gt[$r].maxX,fn=Gt[$r].maxY;Ri<ti.minX&&(ti.minX=Ri),Hi<ti.minY&&(ti.minY=Hi),en>ti.maxX&&(ti.maxX=en),fn>ti.maxY&&(ti.maxY=fn)}return ti}function Pi(Gt,wt,tr,ir){var wr=wt.geometry,Xr=wt.type,ti=[];if(Xr===\"Point\"||Xr===\"MultiPoint\")for(var $r=0;$r<wr.length;$r+=3)ti.push(wr[$r]),ti.push(wr[$r+1]),Gt.numPoints++,Gt.numSimplified++;else if(Xr===\"LineString\")ai(ti,wr,Gt,tr,!1,!1);else if(Xr===\"MultiLineString\"||Xr===\"Polygon\")for($r=0;$r<wr.length;$r++)ai(ti,wr[$r],Gt,tr,Xr===\"Polygon\",$r===0);else if(Xr===\"MultiPolygon\")for(var Ri=0;Ri<wr.length;Ri++){var Hi=wr[Ri];for($r=0;$r<Hi.length;$r++)ai(ti,Hi[$r],Gt,tr,!0,$r===0)}if(ti.length){var en=wt.tags||null;if(Xr===\"LineString\"&&ir.lineMetrics){en={};for(var fn in wt.tags)en[fn]=wt.tags[fn];en.mapbox_clip_start=wr.start/wr.size,en.mapbox_clip_end=wr.end/wr.size}var yn={geometry:ti,type:Xr===\"Polygon\"||Xr===\"MultiPolygon\"?3:Xr===\"LineString\"||Xr===\"MultiLineString\"?2:1,tags:en};wt.id!==null&&(yn.id=wt.id),Gt.features.push(yn)}}function ai(Gt,wt,tr,ir,wr,Xr){var ti=ir*ir;if(ir>0&&wt.size<(wr?ti:ir)){tr.numPoints+=wt.length/3;return}for(var $r=[],Ri=0;Ri<wt.length;Ri+=3)(ir===0||wt[Ri+2]>ti)&&(tr.numSimplified++,$r.push(wt[Ri]),$r.push(wt[Ri+1])),tr.numPoints++;wr&&mi($r,Xr),Gt.push($r)}function mi(Gt,wt){for(var tr=0,ir=0,wr=Gt.length,Xr=wr-2;ir<wr;Xr=ir,ir+=2)tr+=(Gt[ir]-Gt[Xr])*(Gt[ir+1]+Gt[Xr+1]);if(tr>0===wt)for(ir=0,wr=Gt.length;ir<wr/2;ir+=2){var ti=Gt[ir],$r=Gt[ir+1];Gt[ir]=Gt[wr-2-ir],Gt[ir+1]=Gt[wr-1-ir],Gt[wr-2-ir]=ti,Gt[wr-1-ir]=$r}}function un(Gt,wt){return new Fn(Gt,wt)}function Fn(Gt,wt){wt=this.options=Hn(Object.create(this.options),wt);var tr=wt.debug;if(tr&&console.time(\"preprocess data\"),wt.maxZoom<0||wt.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(wt.promoteId&&wt.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var ir=jt(Gt,wt);this.tiles={},this.tileCoords=[],tr&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",wt.indexMaxZoom,wt.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),ir=Qt(ir,wt),ir.length&&this.splitTile(ir,0,0,0),tr&&(ir.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}Fn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Fn.prototype.splitTile=function(Gt,wt,tr,ir,wr,Xr,ti){for(var $r=[Gt,wt,tr,ir],Ri=this.options,Hi=Ri.debug;$r.length;){ir=$r.pop(),tr=$r.pop(),wt=$r.pop(),Gt=$r.pop();var en=1<<wt,fn=An(wt,tr,ir),yn=this.tiles[fn];if(!yn&&(Hi>1&&console.time(\"creation\"),yn=this.tiles[fn]=_i(Gt,wt,tr,ir,Ri),this.tileCoords.push({z:wt,x:tr,y:ir}),Hi)){Hi>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",wt,tr,ir,yn.numFeatures,yn.numPoints,yn.numSimplified),console.timeEnd(\"creation\"));var Mn=\"z\"+wt;this.stats[Mn]=(this.stats[Mn]||0)+1,this.total++}if(yn.source=Gt,wr){if(wt===Ri.maxZoom||wt===wr)continue;var Ba=1<<wr-wt;if(tr!==Math.floor(Xr/Ba)||ir!==Math.floor(ti/Ba))continue}else if(wt===Ri.indexMaxZoom||yn.numPoints<=Ri.indexMaxPoints)continue;if(yn.source=null,Gt.length!==0){Hi>1&&console.time(\"clipping\");var ua=.5*Ri.buffer/Ri.extent,ma=.5-ua,Wa=.5+ua,za=1+ua,Xo,da,jn,Ha,vo,Gn;Xo=da=jn=Ha=null,vo=gt(Gt,en,tr-ua,tr+Wa,0,yn.minX,yn.maxX,Ri),Gn=gt(Gt,en,tr+ma,tr+za,0,yn.minX,yn.maxX,Ri),Gt=null,vo&&(Xo=gt(vo,en,ir-ua,ir+Wa,1,yn.minY,yn.maxY,Ri),da=gt(vo,en,ir+ma,ir+za,1,yn.minY,yn.maxY,Ri),vo=null),Gn&&(jn=gt(Gn,en,ir-ua,ir+Wa,1,yn.minY,yn.maxY,Ri),Ha=gt(Gn,en,ir+ma,ir+za,1,yn.minY,yn.maxY,Ri),Gn=null),Hi>1&&console.timeEnd(\"clipping\"),$r.push(Xo||[],wt+1,tr*2,ir*2),$r.push(da||[],wt+1,tr*2,ir*2+1),$r.push(jn||[],wt+1,tr*2+1,ir*2),$r.push(Ha||[],wt+1,tr*2+1,ir*2+1)}}},Fn.prototype.getTile=function(Gt,wt,tr){var ir=this.options,wr=ir.extent,Xr=ir.debug;if(Gt<0||Gt>24)return null;var ti=1<<Gt;wt=(wt%ti+ti)%ti;var $r=An(Gt,wt,tr);if(this.tiles[$r])return Ir(this.tiles[$r],wr);Xr>1&&console.log(\"drilling down to z%d-%d-%d\",Gt,wt,tr);for(var Ri=Gt,Hi=wt,en=tr,fn;!fn&&Ri>0;)Ri--,Hi=Math.floor(Hi/2),en=Math.floor(en/2),fn=this.tiles[An(Ri,Hi,en)];return!fn||!fn.source?null:(Xr>1&&console.log(\"found parent tile z%d-%d-%d\",Ri,Hi,en),Xr>1&&console.time(\"drilling down\"),this.splitTile(fn.source,Ri,Hi,en,Gt,wt,tr),Xr>1&&console.timeEnd(\"drilling down\"),this.tiles[$r]?Ir(this.tiles[$r],wr):null)};function An(Gt,wt,tr){return((1<<Gt)*tr+wt)*32+Gt}function Hn(Gt,wt){for(var tr in wt)Gt[tr]=wt[tr];return Gt}function Qn(Gt,wt){var tr=Gt.tileID.canonical;if(!this._geoJSONIndex)return wt(null,null);var ir=this._geoJSONIndex.getTile(tr.z,tr.x,tr.y);if(!ir)return wt(null,null);var wr=new C(ir.features),Xr=z(wr);(Xr.byteOffset!==0||Xr.byteLength!==Xr.buffer.byteLength)&&(Xr=new Uint8Array(Xr)),wt(null,{vectorTile:wr,rawData:Xr.buffer})}var Vi=(function(Gt){function wt(tr,ir,wr,Xr){Gt.call(this,tr,ir,wr,Qn),Xr&&(this.loadGeoJSON=Xr)}return Gt&&(wt.__proto__=Gt),wt.prototype=Object.create(Gt&&Gt.prototype),wt.prototype.constructor=wt,wt.prototype.loadData=function(ir,wr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=wr,this._pendingLoadDataParams=ir,this._state&&this._state!==\"Idle\"?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},wt.prototype._loadData=function(){var ir=this;if(!(!this._pendingCallback||!this._pendingLoadDataParams)){var wr=this._pendingCallback,Xr=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var ti=Xr&&Xr.request&&Xr.request.collectResourceTiming?new i.RequestPerformance(Xr.request):!1;this.loadGeoJSON(Xr,function($r,Ri){if($r||!Ri)return wr($r);if(typeof Ri!=\"object\")return wr(new Error(\"Input data given to '\"+Xr.source+\"' is not a valid GeoJSON object.\"));p(Ri,!0);try{if(Xr.filter){var Hi=i.createExpression(Xr.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Hi.result===\"error\")throw new Error(Hi.value.map(function(Mn){return Mn.key+\": \"+Mn.message}).join(\", \"));var en=Ri.features.filter(function(Mn){return Hi.value.evaluate({zoom:0},Mn)});Ri={type:\"FeatureCollection\",features:en}}ir._geoJSONIndex=Xr.cluster?new mt(Jn(Xr)).load(Ri.features):un(Ri,Xr.geojsonVtOptions)}catch(Mn){return wr(Mn)}ir.loaded={};var fn={};if(ti){var yn=ti.finish();yn&&(fn.resourceTiming={},fn.resourceTiming[Xr.source]=JSON.parse(JSON.stringify(yn)))}wr(null,fn)})}},wt.prototype.coalesce=function(){this._state===\"Coalescing\"?this._state=\"Idle\":this._state===\"NeedsLoadData\"&&(this._state=\"Coalescing\",this._loadData())},wt.prototype.reloadTile=function(ir,wr){var Xr=this.loaded,ti=ir.uid;return Xr&&Xr[ti]?Gt.prototype.reloadTile.call(this,ir,wr):this.loadTile(ir,wr)},wt.prototype.loadGeoJSON=function(ir,wr){if(ir.request)i.getJSON(ir.request,wr);else if(typeof ir.data==\"string\")try{return wr(null,JSON.parse(ir.data))}catch(Xr){return wr(new Error(\"Input data given to '\"+ir.source+\"' is not a valid GeoJSON object.\"))}else return wr(new Error(\"Input data given to '\"+ir.source+\"' is not a valid GeoJSON object.\"))},wt.prototype.removeSource=function(ir,wr){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),wr()},wt.prototype.getClusterExpansionZoom=function(ir,wr){try{wr(null,this._geoJSONIndex.getClusterExpansionZoom(ir.clusterId))}catch(Xr){wr(Xr)}},wt.prototype.getClusterChildren=function(ir,wr){try{wr(null,this._geoJSONIndex.getChildren(ir.clusterId))}catch(Xr){wr(Xr)}},wt.prototype.getClusterLeaves=function(ir,wr){try{wr(null,this._geoJSONIndex.getLeaves(ir.clusterId,ir.limit,ir.offset))}catch(Xr){wr(Xr)}},wt})(v);function Jn(Gt){var wt=Gt.superclusterOptions,tr=Gt.clusterProperties;if(!tr||!wt)return wt;for(var ir={},wr={},Xr={accumulated:null,zoom:0},ti={properties:null},$r=Object.keys(tr),Ri=0,Hi=$r;Ri<Hi.length;Ri+=1){var en=Hi[Ri],fn=tr[en],yn=fn[0],Mn=fn[1],Ba=i.createExpression(Mn),ua=i.createExpression(typeof yn==\"string\"?[yn,[\"accumulated\"],[\"get\",en]]:yn);ir[en]=Ba.value,wr[en]=ua.value}return wt.map=function(ma){ti.properties=ma;for(var Wa={},za=0,Xo=$r;za<Xo.length;za+=1){var da=Xo[za];Wa[da]=ir[da].evaluate(Xr,ti)}return Wa},wt.reduce=function(ma,Wa){ti.properties=Wa;for(var za=0,Xo=$r;za<Xo.length;za+=1){var da=Xo[za];Xr.accumulated=ma[da],ma[da]=wr[da].evaluate(Xr,ti)}},wt}var Yn=function(wt){var tr=this;this.self=wt,this.actor=new i.Actor(wt,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:v,geojson:Vi},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(ir,wr){if(tr.workerSourceTypes[ir])throw new Error('Worker source with name \"'+ir+'\" already registered.');tr.workerSourceTypes[ir]=wr},this.self.registerRTLTextPlugin=function(ir){if(i.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");i.plugin.applyArabicShaping=ir.applyArabicShaping,i.plugin.processBidirectionalText=ir.processBidirectionalText,i.plugin.processStyledBidirectionalText=ir.processStyledBidirectionalText}};return Yn.prototype.setReferrer=function(wt,tr){this.referrer=tr},Yn.prototype.setImages=function(wt,tr,ir){this.availableImages[wt]=tr;for(var wr in this.workerSources[wt]){var Xr=this.workerSources[wt][wr];for(var ti in Xr)Xr[ti].availableImages=tr}ir()},Yn.prototype.setLayers=function(wt,tr,ir){this.getLayerIndex(wt).replace(tr),ir()},Yn.prototype.updateLayers=function(wt,tr,ir){this.getLayerIndex(wt).update(tr.layers,tr.removedIds),ir()},Yn.prototype.loadTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).loadTile(tr,ir)},Yn.prototype.loadDEMTile=function(wt,tr,ir){this.getDEMWorkerSource(wt,tr.source).loadTile(tr,ir)},Yn.prototype.reloadTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).reloadTile(tr,ir)},Yn.prototype.abortTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).abortTile(tr,ir)},Yn.prototype.removeTile=function(wt,tr,ir){this.getWorkerSource(wt,tr.type,tr.source).removeTile(tr,ir)},Yn.prototype.removeDEMTile=function(wt,tr){this.getDEMWorkerSource(wt,tr.source).removeTile(tr)},Yn.prototype.removeSource=function(wt,tr,ir){if(!(!this.workerSources[wt]||!this.workerSources[wt][tr.type]||!this.workerSources[wt][tr.type][tr.source])){var wr=this.workerSources[wt][tr.type][tr.source];delete this.workerSources[wt][tr.type][tr.source],wr.removeSource!==void 0?wr.removeSource(tr,ir):ir()}},Yn.prototype.loadWorkerSource=function(wt,tr,ir){try{this.self.importScripts(tr.url),ir()}catch(wr){ir(wr.toString())}},Yn.prototype.syncRTLPluginState=function(wt,tr,ir){try{i.plugin.setState(tr);var wr=i.plugin.getPluginURL();if(i.plugin.isLoaded()&&!i.plugin.isParsed()&&wr!=null){this.self.importScripts(wr);var Xr=i.plugin.isParsed(),ti=Xr?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+wr);ir(ti,Xr)}}catch($r){ir($r.toString())}},Yn.prototype.getAvailableImages=function(wt){var tr=this.availableImages[wt];return tr||(tr=[]),tr},Yn.prototype.getLayerIndex=function(wt){var tr=this.layerIndexes[wt];return tr||(tr=this.layerIndexes[wt]=new l),tr},Yn.prototype.getWorkerSource=function(wt,tr,ir){var wr=this;if(this.workerSources[wt]||(this.workerSources[wt]={}),this.workerSources[wt][tr]||(this.workerSources[wt][tr]={}),!this.workerSources[wt][tr][ir]){var Xr={send:function(ti,$r,Ri){wr.actor.send(ti,$r,Ri,wt)}};this.workerSources[wt][tr][ir]=new this.workerSourceTypes[tr](Xr,this.getLayerIndex(wt),this.getAvailableImages(wt))}return this.workerSources[wt][tr][ir]},Yn.prototype.getDEMWorkerSource=function(wt,tr){return this.demWorkerSources[wt]||(this.demWorkerSources[wt]={}),this.demWorkerSources[wt][tr]||(this.demWorkerSources[wt][tr]=new b),this.demWorkerSources[wt][tr]},Yn.prototype.enforceCacheSizeLimit=function(wt,tr){i.enforceCacheSizeLimit(tr)},typeof WorkerGlobalScope!=\"undefined\"&&typeof self!=\"undefined\"&&self instanceof WorkerGlobalScope&&(self.worker=new Yn(self)),Yn}),n([\"./shared\"],function(i){\"use strict\";var 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Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray}function de(){return Function.prototype&&Function.prototype.bind}function ne(){return Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions}function we(){return\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON}function Oe(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var It=new Blob([\"\"],{type:\"text/javascript\"}),Bt=URL.createObjectURL(It),Ft,Ut;try{Ut=new Worker(Bt),Ft=!0}catch(zt){Ft=!1}return Ut&&Ut.terminate(),URL.revokeObjectURL(Bt),Ft}function ht(){return\"Uint8ClampedArray\"in 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O&&h?Y.addEventListener(D,J,O):Y.addEventListener(D,J,O.capture)},o.removeEventListener=function(Y,D,J,O){O===void 0&&(O={}),\"passive\"in O&&h?Y.removeEventListener(D,J,O):Y.removeEventListener(D,J,O.capture)};var v=function(Y){Y.preventDefault(),Y.stopPropagation(),i.window.removeEventListener(\"click\",v,!0)};o.suppressClick=function(){i.window.addEventListener(\"click\",v,!0),i.window.setTimeout(function(){i.window.removeEventListener(\"click\",v,!0)},0)},o.mousePos=function(Y,D){var J=Y.getBoundingClientRect();return new i.Point(D.clientX-J.left-Y.clientLeft,D.clientY-J.top-Y.clientTop)},o.touchPos=function(Y,D){for(var J=Y.getBoundingClientRect(),O=[],K=0;K<D.length;K++)O.push(new i.Point(D[K].clientX-J.left-Y.clientLeft,D[K].clientY-J.top-Y.clientTop));return O},o.mouseButton=function(Y){return typeof i.window.InstallTrigger!=\"undefined\"&&Y.button===2&&Y.ctrlKey&&i.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:Y.button},o.remove=function(Y){Y.parentNode&&Y.parentNode.removeChild(Y)};function m(Y,D,J){var O,K,de,ne=i.browser.devicePixelRatio>1?\"@2x\":\"\",we=i.getJSON(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".json\"),i.ResourceType.SpriteJSON),function(Yt,cr){we=null,de||(de=Yt,O=cr,ht())}),Oe=i.getImage(D.transformRequest(D.normalizeSpriteURL(Y,ne,\".png\"),i.ResourceType.SpriteImage),function(Yt,cr){Oe=null,de||(de=Yt,K=cr,ht())});function ht(){if(de)J(de);else if(O&&K){var Yt=i.browser.getImageData(K),cr={};for(var Nt in O){var Ne=O[Nt],$e=Ne.width,st=Ne.height,It=Ne.x,Bt=Ne.y,Ft=Ne.sdf,Ut=Ne.pixelRatio,zt=Ne.stretchX,_t=Ne.stretchY,Dt=Ne.content,vt=new i.RGBAImage({width:$e,height:st});i.RGBAImage.copy(Yt,vt,{x:It,y:Bt},{x:0,y:0},{width:$e,height:st}),cr[Nt]={data:vt,pixelRatio:Ut,sdf:Ft,stretchX:zt,stretchY:_t,content:Dt}}J(null,cr)}}return{cancel:function(){we&&(we.cancel(),we=null),Oe&&(Oe.cancel(),Oe=null)}}}function b(Y){var D=Y.userImage;if(D&&D.render){var J=D.render();if(J)return Y.data.replace(new Uint8Array(D.data.buffer)),!0}return!1}var p=1,k=(function(Y){function D(){Y.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new i.RGBAImage({width:1,height:1}),this.dirty=!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.isLoaded=function(){return this.loaded},D.prototype.setLoaded=function(O){if(this.loaded!==O&&(this.loaded=O,O)){for(var K=0,de=this.requestors;K<de.length;K+=1){var ne=de[K],we=ne.ids,Oe=ne.callback;this._notify(we,Oe)}this.requestors=[]}},D.prototype.getImage=function(O){return this.images[O]},D.prototype.addImage=function(O,K){this._validate(O,K)&&(this.images[O]=K)},D.prototype._validate=function(O,K){var de=!0;return this._validateStretch(K.stretchX,K.data&&K.data.width)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"stretchX\" value'))),de=!1),this._validateStretch(K.stretchY,K.data&&K.data.height)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"stretchY\" value'))),de=!1),this._validateContent(K.content,K)||(this.fire(new i.ErrorEvent(new Error('Image \"'+O+'\" has invalid \"content\" value'))),de=!1),de},D.prototype._validateStretch=function(O,K){if(!O)return!0;for(var de=0,ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];if(Oe[0]<de||Oe[1]<Oe[0]||K<Oe[1])return!1;de=Oe[1]}return!0},D.prototype._validateContent=function(O,K){return O?!(O.length!==4||O[0]<0||K.data.width<O[0]||O[1]<0||K.data.height<O[1]||O[2]<0||K.data.width<O[2]||O[3]<0||K.data.height<O[3]||O[2]<O[0]||O[3]<O[1]):!0},D.prototype.updateImage=function(O,K){var de=this.images[O];K.version=de.version+1,this.images[O]=K,this.updatedImages[O]=!0},D.prototype.removeImage=function(O){var K=this.images[O];delete this.images[O],delete this.patterns[O],K.userImage&&K.userImage.onRemove&&K.userImage.onRemove()},D.prototype.listImages=function(){return Object.keys(this.images)},D.prototype.getImages=function(O,K){var de=!0;if(!this.isLoaded())for(var ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];this.images[Oe]||(de=!1)}this.isLoaded()||de?this._notify(O,K):this.requestors.push({ids:O,callback:K})},D.prototype._notify=function(O,K){for(var de={},ne=0,we=O;ne<we.length;ne+=1){var Oe=we[ne];this.images[Oe]||this.fire(new i.Event(\"styleimagemissing\",{id:Oe}));var ht=this.images[Oe];ht?de[Oe]={data:ht.data.clone(),pixelRatio:ht.pixelRatio,sdf:ht.sdf,version:ht.version,stretchX:ht.stretchX,stretchY:ht.stretchY,content:ht.content,hasRenderCallback:!!(ht.userImage&&ht.userImage.render)}:i.warnOnce('Image \"'+Oe+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}K(null,de)},D.prototype.getPixelSize=function(){var O=this.atlasImage,K=O.width,de=O.height;return{width:K,height:de}},D.prototype.getPattern=function(O){var K=this.patterns[O],de=this.getImage(O);if(!de)return null;if(K&&K.position.version===de.version)return K.position;if(K)K.position.version=de.version;else{var ne=de.data.width+p*2,we=de.data.height+p*2,Oe={w:ne,h:we,x:0,y:0},ht=new i.ImagePosition(Oe,de);this.patterns[O]={bin:Oe,position:ht}}return this._updatePatternAtlas(),this.patterns[O].position},D.prototype.bind=function(O){var K=O.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new i.Texture(O,this.atlasImage,K.RGBA),this.atlasTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE)},D.prototype._updatePatternAtlas=function(){var O=[];for(var K in this.patterns)O.push(this.patterns[K].bin);var de=i.potpack(O),ne=de.w,we=de.h,Oe=this.atlasImage;Oe.resize({width:ne||1,height:we||1});for(var ht in this.patterns){var Yt=this.patterns[ht],cr=Yt.bin,Nt=cr.x+p,Ne=cr.y+p,$e=this.images[ht].data,st=$e.width,It=$e.height;i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt,y:Ne},{width:st,height:It}),i.RGBAImage.copy($e,Oe,{x:0,y:It-1},{x:Nt,y:Ne-1},{width:st,height:1}),i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt,y:Ne+It},{width:st,height:1}),i.RGBAImage.copy($e,Oe,{x:st-1,y:0},{x:Nt-1,y:Ne},{width:1,height:It}),i.RGBAImage.copy($e,Oe,{x:0,y:0},{x:Nt+st,y:Ne},{width:1,height:It})}this.dirty=!0},D.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},D.prototype.dispatchRenderCallbacks=function(O){for(var K=0,de=O;K<de.length;K+=1){var ne=de[K];if(!this.callbackDispatchedThisFrame[ne]){this.callbackDispatchedThisFrame[ne]=!0;var we=this.images[ne],Oe=b(we);Oe&&this.updateImage(ne,we)}}},D})(i.Evented);function M(Y,D,J,O,K){var de=D*256,ne=de+255,we=O.transformRequest(O.normalizeGlyphsURL(J).replace(\"{fontstack}\",Y).replace(\"{range}\",de+\"-\"+ne),i.ResourceType.Glyphs);i.getArrayBuffer(we,function(Oe,ht){if(Oe)K(Oe);else if(ht){for(var Yt={},cr=0,Nt=i.parseGlyphPBF(ht);cr<Nt.length;cr+=1){var Ne=Nt[cr];Yt[Ne.id]=Ne}K(null,Yt)}})}var T=C,L=C,x=1e20;function C(Y,D,J,O,K,de){this.fontSize=Y||24,this.buffer=D===void 0?3:D,this.cutoff=O||.25,this.fontFamily=K||\"sans-serif\",this.fontWeight=de||\"normal\",this.radius=J||8;var ne=this.size=this.fontSize+this.buffer*2;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=ne,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(ne*ne),this.gridInner=new Float64Array(ne*ne),this.f=new Float64Array(ne),this.d=new Float64Array(ne),this.z=new Float64Array(ne+1),this.v=new Int16Array(ne),this.middle=Math.round(ne/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var D=this.ctx.getImageData(0,0,this.size,this.size),J=new Uint8ClampedArray(this.size*this.size),O=0;O<this.size*this.size;O++){var K=D.data[O*4+3]/255;this.gridOuter[O]=K===1?0:K===0?x:Math.pow(Math.max(0,.5-K),2),this.gridInner[O]=K===1?x:K===0?0:Math.pow(Math.max(0,K-.5),2)}for(S(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),S(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),O=0;O<this.size*this.size;O++){var de=this.gridOuter[O]-this.gridInner[O];J[O]=Math.max(0,Math.min(255,Math.round(255-255*(de/this.radius+this.cutoff))))}return J};function S(Y,D,J,O,K,de,ne){for(var we=0;we<D;we++){for(var Oe=0;Oe<J;Oe++)O[Oe]=Y[Oe*D+we];for(g(O,K,de,ne,J),Oe=0;Oe<J;Oe++)Y[Oe*D+we]=K[Oe]}for(Oe=0;Oe<J;Oe++){for(we=0;we<D;we++)O[we]=Y[Oe*D+we];for(g(O,K,de,ne,D),we=0;we<D;we++)Y[Oe*D+we]=Math.sqrt(K[we])}}function g(Y,D,J,O,K){J[0]=0,O[0]=-x,O[1]=+x;for(var de=1,ne=0;de<K;de++){for(var we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);we<=O[ne];)ne--,we=(Y[de]+de*de-(Y[J[ne]]+J[ne]*J[ne]))/(2*de-2*J[ne]);ne++,J[ne]=de,O[ne]=we,O[ne+1]=+x}for(de=0,ne=0;de<K;de++){for(;O[ne+1]<de;)ne++;D[de]=(de-J[ne])*(de-J[ne])+Y[J[ne]]}}T.default=L;var P=function(D,J){this.requestManager=D,this.localIdeographFontFamily=J,this.entries={}};P.prototype.setURL=function(D){this.url=D},P.prototype.getGlyphs=function(D,J){var O=this,K=[];for(var de in D)for(var ne=0,we=D[de];ne<we.length;ne+=1){var Oe=we[ne];K.push({stack:de,id:Oe})}i.asyncAll(K,function(ht,Yt){var cr=ht.stack,Nt=ht.id,Ne=O.entries[cr];Ne||(Ne=O.entries[cr]={glyphs:{},requests:{},ranges:{}});var $e=Ne.glyphs[Nt];if($e!==void 0){Yt(null,{stack:cr,id:Nt,glyph:$e});return}if($e=O._tinySDF(Ne,cr,Nt),$e){Ne.glyphs[Nt]=$e,Yt(null,{stack:cr,id:Nt,glyph:$e});return}var st=Math.floor(Nt/256);if(st*256>65535){Yt(new Error(\"glyphs > 65535 not supported\"));return}if(Ne.ranges[st]){Yt(null,{stack:cr,id:Nt,glyph:$e});return}var It=Ne.requests[st];It||(It=Ne.requests[st]=[],P.loadGlyphRange(cr,st,O.url,O.requestManager,function(Bt,Ft){if(Ft){for(var Ut in Ft)O._doesCharSupportLocalGlyph(+Ut)||(Ne.glyphs[+Ut]=Ft[+Ut]);Ne.ranges[st]=!0}for(var zt=0,_t=It;zt<_t.length;zt+=1){var Dt=_t[zt];Dt(Bt,Ft)}delete Ne.requests[st]})),It.push(function(Bt,Ft){Bt?Yt(Bt):Ft&&Yt(null,{stack:cr,id:Nt,glyph:Ft[Nt]||null})})},function(ht,Yt){if(ht)J(ht);else if(Yt){for(var cr={},Nt=0,Ne=Yt;Nt<Ne.length;Nt+=1){var $e=Ne[Nt],st=$e.stack,It=$e.id,Bt=$e.glyph;(cr[st]||(cr[st]={}))[It]=Bt&&{id:Bt.id,bitmap:Bt.bitmap.clone(),metrics:Bt.metrics}}J(null,cr)}})},P.prototype._doesCharSupportLocalGlyph=function(D){return!!this.localIdeographFontFamily&&(i.isChar[\"CJK Unified Ideographs\"](D)||i.isChar[\"Hangul Syllables\"](D)||i.isChar.Hiragana(D)||i.isChar.Katakana(D))},P.prototype._tinySDF=function(D,J,O){var K=this.localIdeographFontFamily;if(K&&this._doesCharSupportLocalGlyph(O)){var de=D.tinySDF;if(!de){var ne=\"400\";/bold/i.test(J)?ne=\"900\":/medium/i.test(J)?ne=\"500\":/light/i.test(J)&&(ne=\"200\"),de=D.tinySDF=new P.TinySDF(24,3,8,.25,K,ne)}return{id:O,bitmap:new i.AlphaImage({width:30,height:30},de.draw(String.fromCharCode(O))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},P.loadGlyphRange=M,P.TinySDF=T;var E=function(){this.specification=i.styleSpec.light.position};E.prototype.possiblyEvaluate=function(D,J){return i.sphericalToCartesian(D.expression.evaluate(J))},E.prototype.interpolate=function(D,J,O){return{x:i.number(D.x,J.x,O),y:i.number(D.y,J.y,O),z:i.number(D.z,J.z,O)}};var z=new i.Properties({anchor:new i.DataConstantProperty(i.styleSpec.light.anchor),position:new E,color:new i.DataConstantProperty(i.styleSpec.light.color),intensity:new i.DataConstantProperty(i.styleSpec.light.intensity)}),q=\"-transition\",V=(function(Y){function D(J){Y.call(this),this._transitionable=new i.Transitionable(z),this.setLight(J),this._transitioning=this._transitionable.untransitioned()}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getLight=function(){return this._transitionable.serialize()},D.prototype.setLight=function(O,K){if(K===void 0&&(K={}),!this._validate(i.validateLight,O,K))for(var de in O){var ne=O[de];i.endsWith(de,q)?this._transitionable.setTransition(de.slice(0,-q.length),ne):this._transitionable.setValue(de,ne)}},D.prototype.updateTransitions=function(O){this._transitioning=this._transitionable.transitioned(O,this._transitioning)},D.prototype.hasTransition=function(){return this._transitioning.hasTransition()},D.prototype.recalculate=function(O){this.properties=this._transitioning.possiblyEvaluate(O)},D.prototype._validate=function(O,K,de){return de&&de.validate===!1?!1:i.emitValidationErrors(this,O.call(i.validateStyle,i.extend({value:K,style:{glyphs:!0,sprite:!0},styleSpec:i.styleSpec})))},D})(i.Evented),G=function(D,J){this.width=D,this.height=J,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};G.prototype.getDash=function(D,J){var O=D.join(\",\")+String(J);return this.dashEntry[O]||(this.dashEntry[O]=this.addDash(D,J)),this.dashEntry[O]},G.prototype.getDashRanges=function(D,J,O){var K=D.length%2===1,de=[],ne=K?-D[D.length-1]*O:0,we=D[0]*O,Oe=!0;de.push({left:ne,right:we,isDash:Oe,zeroLength:D[0]===0});for(var ht=D[0],Yt=1;Yt<D.length;Yt++){Oe=!Oe;var cr=D[Yt];ne=ht*O,ht+=cr,we=ht*O,de.push({left:ne,right:we,isDash:Oe,zeroLength:cr===0})}return de},G.prototype.addRoundDash=function(D,J,O){for(var K=J/2,de=-O;de<=O;de++)for(var ne=this.nextRow+O+de,we=this.width*ne,Oe=0,ht=D[Oe],Yt=0;Yt<this.width;Yt++){Yt/ht.right>1&&(ht=D[++Oe]);var cr=Math.abs(Yt-ht.left),Nt=Math.abs(Yt-ht.right),Ne=Math.min(cr,Nt),$e=void 0,st=de/O*(K+1);if(ht.isDash){var It=K-Math.abs(st);$e=Math.sqrt(Ne*Ne+It*It)}else $e=K-Math.sqrt(Ne*Ne+st*st);this.data[we+Yt]=Math.max(0,Math.min(255,$e+128))}},G.prototype.addRegularDash=function(D){for(var J=D.length-1;J>=0;--J){var O=D[J],K=D[J+1];O.zeroLength?D.splice(J,1):K&&K.isDash===O.isDash&&(K.left=O.left,D.splice(J,1))}var de=D[0],ne=D[D.length-1];de.isDash===ne.isDash&&(de.left=ne.left-this.width,ne.right=de.right+this.width);for(var we=this.width*this.nextRow,Oe=0,ht=D[Oe],Yt=0;Yt<this.width;Yt++){Yt/ht.right>1&&(ht=D[++Oe]);var cr=Math.abs(Yt-ht.left),Nt=Math.abs(Yt-ht.right),Ne=Math.min(cr,Nt),$e=ht.isDash?Ne:-Ne;this.data[we+Yt]=Math.max(0,Math.min(255,$e+128))}},G.prototype.addDash=function(D,J){var O=J?7:0,K=2*O+1;if(this.nextRow+K>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var de=0,ne=0;ne<D.length;ne++)de+=D[ne];if(de!==0){var we=this.width/de,Oe=this.getDashRanges(D,this.width,we);J?this.addRoundDash(Oe,we,O):this.addRegularDash(Oe)}var ht={y:(this.nextRow+O+.5)/this.height,height:2*O/this.height,width:de};return this.nextRow+=K,this.dirty=!0,ht},G.prototype.bind=function(D){var J=D.gl;this.texture?(J.bindTexture(J.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,J.texSubImage2D(J.TEXTURE_2D,0,0,0,this.width,this.height,J.ALPHA,J.UNSIGNED_BYTE,this.data))):(this.texture=J.createTexture(),J.bindTexture(J.TEXTURE_2D,this.texture),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_S,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_WRAP_T,J.REPEAT),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MIN_FILTER,J.LINEAR),J.texParameteri(J.TEXTURE_2D,J.TEXTURE_MAG_FILTER,J.LINEAR),J.texImage2D(J.TEXTURE_2D,0,J.ALPHA,this.width,this.height,0,J.ALPHA,J.UNSIGNED_BYTE,this.data))};var Z=function Y(D,J){this.workerPool=D,this.actors=[],this.currentActor=0,this.id=i.uniqueId();for(var O=this.workerPool.acquire(this.id),K=0;K<O.length;K++){var de=O[K],ne=new Y.Actor(de,J,this.id);ne.name=\"Worker \"+K,this.actors.push(ne)}};Z.prototype.broadcast=function(D,J,O){O=O||function(){},i.asyncAll(this.actors,function(K,de){K.send(D,J,de)},O)},Z.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},Z.prototype.remove=function(){this.actors.forEach(function(D){D.remove()}),this.actors=[],this.workerPool.release(this.id)},Z.Actor=i.Actor;function j(Y,D,J){var O=function(K,de){if(K)return J(K);if(de){var ne=i.pick(i.extend(de,Y),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);de.vector_layers&&(ne.vectorLayers=de.vector_layers,ne.vectorLayerIds=ne.vectorLayers.map(function(we){return we.id})),ne.tiles=D.canonicalizeTileset(ne,Y.url),J(null,ne)}};return Y.url?i.getJSON(D.transformRequest(D.normalizeSourceURL(Y.url),i.ResourceType.Source),O):i.browser.frame(function(){return O(null,Y)})}var N=function(D,J,O){this.bounds=i.LngLatBounds.convert(this.validateBounds(D)),this.minzoom=J||0,this.maxzoom=O||24};N.prototype.validateBounds=function(D){return!Array.isArray(D)||D.length!==4?[-180,-90,180,90]:[Math.max(-180,D[0]),Math.max(-90,D[1]),Math.min(180,D[2]),Math.min(90,D[3])]},N.prototype.contains=function(D){var J=Math.pow(2,D.z),O={minX:Math.floor(i.mercatorXfromLng(this.bounds.getWest())*J),minY:Math.floor(i.mercatorYfromLat(this.bounds.getNorth())*J),maxX:Math.ceil(i.mercatorXfromLng(this.bounds.getEast())*J),maxY:Math.ceil(i.mercatorYfromLat(this.bounds.getSouth())*J)},K=D.x>=O.minX&&D.x<O.maxX&&D.y>=O.minY&&D.y<O.maxY;return K};var H=(function(Y){function D(J,O,K,de){if(Y.call(this),this.id=J,this.dispatcher=K,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=i.extend({type:\"vector\"},O),this._collectResourceTiming=O.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(de)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){O._tileJSONRequest=null,O._loaded=!0,K?O.fire(new i.ErrorEvent(K)):de&&(i.extend(O,de),de.bounds&&(O.tileBounds=new N(de.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(de.tiles,O.map._requestManager._customAccessToken),i.postMapLoadEvent(de.tiles,O.map._getMapId(),O.map._requestManager._skuToken,O.map._requestManager._customAccessToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setSourceProperty=function(O){this._tileJSONRequest&&this._tileJSONRequest.cancel(),O();var K=this.map.style.sourceCaches[this.id];K.clearTiles(),this.load()},D.prototype.setTiles=function(O){var K=this;return this.setSourceProperty(function(){K._options.tiles=O}),this},D.prototype.setUrl=function(O){var K=this;return this.setSourceProperty(function(){K.url=O,K._options.url=O}),this},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.loadTile=function(O,K){var de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme)),ne={request:this.map._requestManager.transformRequest(de,i.ResourceType.Tile),uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,tileSize:this.tileSize*O.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};ne.request.collectResourceTiming=this._collectResourceTiming,!O.actor||O.state===\"expired\"?(O.actor=this.dispatcher.getActor(),O.request=O.actor.send(\"loadTile\",ne,we.bind(this))):O.state===\"loading\"?O.reloadCallback=K:O.request=O.actor.send(\"reloadTile\",ne,we.bind(this));function we(Oe,ht){if(delete O.request,O.aborted)return K(null);if(Oe&&Oe.status!==404)return K(Oe);ht&&ht.resourceTiming&&(O.resourceTiming=ht.resourceTiming),this.map._refreshExpiredTiles&&ht&&O.setExpiryData(ht),O.loadVectorData(ht,this.map.painter),i.cacheEntryPossiblyAdded(this.dispatcher),K(null),O.reloadCallback&&(this.loadTile(O,O.reloadCallback),O.reloadCallback=null)}},D.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.actor&&O.actor.send(\"abortTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},D.prototype.unloadTile=function(O){O.unloadVectorData(),O.actor&&O.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id},void 0)},D.prototype.hasTransition=function(){return!1},D})(i.Evented),re=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.setEventedParent(de),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=i.extend({type:\"raster\"},O),i.extend(this,i.pick(O,[\"url\",\"scheme\",\"tileSize\"]))}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=j(this._options,this.map._requestManager,function(K,de){O._tileJSONRequest=null,O._loaded=!0,K?O.fire(new i.ErrorEvent(K)):de&&(i.extend(O,de),de.bounds&&(O.tileBounds=new N(de.bounds,O.minzoom,O.maxzoom)),i.postTurnstileEvent(de.tiles),i.postMapLoadEvent(de.tiles,O.map._getMapId(),O.map._requestManager._skuToken),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),O.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},D.prototype.loaded=function(){return this._loaded},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},D.prototype.serialize=function(){return i.extend({},this._options)},D.prototype.hasTile=function(O){return!this.tileBounds||this.tileBounds.contains(O.canonical)},D.prototype.loadTile=function(O,K){var de=this,ne=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(ne,i.ResourceType.Tile),function(we,Oe){if(delete O.request,O.aborted)O.state=\"unloaded\",K(null);else if(we)O.state=\"errored\",K(we);else if(Oe){de.map._refreshExpiredTiles&&O.setExpiryData(Oe),delete Oe.cacheControl,delete Oe.expires;var ht=de.map.painter.context,Yt=ht.gl;O.texture=de.map.painter.getTileTexture(Oe.width),O.texture?O.texture.update(Oe,{useMipmap:!0}):(O.texture=new i.Texture(ht,Oe,Yt.RGBA,{useMipmap:!0}),O.texture.bind(Yt.LINEAR,Yt.CLAMP_TO_EDGE,Yt.LINEAR_MIPMAP_NEAREST),ht.extTextureFilterAnisotropic&&Yt.texParameterf(Yt.TEXTURE_2D,ht.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,ht.extTextureFilterAnisotropicMax)),O.state=\"loaded\",i.cacheEntryPossiblyAdded(de.dispatcher),K(null)}})},D.prototype.abortTile=function(O,K){O.request&&(O.request.cancel(),delete O.request),K()},D.prototype.unloadTile=function(O,K){O.texture&&this.map.painter.saveTileTexture(O.texture),K()},D.prototype.hasTransition=function(){return!1},D})(i.Evented),ae=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),this.type=\"raster-dem\",this.maxzoom=22,this._options=i.extend({type:\"raster-dem\"},O),this.encoding=O.encoding||\"mapbox\"}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},D.prototype.loadTile=function(O,K){var de=this.map._requestManager.normalizeTileURL(O.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);O.request=i.getImage(this.map._requestManager.transformRequest(de,i.ResourceType.Tile),ne.bind(this)),O.neighboringTiles=this._getNeighboringTiles(O.tileID);function ne(Oe,ht){if(delete O.request,O.aborted)O.state=\"unloaded\",K(null);else if(Oe)O.state=\"errored\",K(Oe);else if(ht){this.map._refreshExpiredTiles&&O.setExpiryData(ht),delete ht.cacheControl,delete ht.expires;var Yt=i.window.ImageBitmap&&ht instanceof i.window.ImageBitmap&&i.offscreenCanvasSupported(),cr=Yt?ht:i.browser.getImageData(ht,1),Nt={uid:O.uid,coord:O.tileID,source:this.id,rawImageData:cr,encoding:this.encoding};(!O.actor||O.state===\"expired\")&&(O.actor=this.dispatcher.getActor(),O.actor.send(\"loadDEMTile\",Nt,we.bind(this)))}}function we(Oe,ht){Oe&&(O.state=\"errored\",K(Oe)),ht&&(O.dem=ht,O.needsHillshadePrepare=!0,O.state=\"loaded\",K(null))}},D.prototype._getNeighboringTiles=function(O){var K=O.canonical,de=Math.pow(2,K.z),ne=(K.x-1+de)%de,we=K.x===0?O.wrap-1:O.wrap,Oe=(K.x+1+de)%de,ht=K.x+1===de?O.wrap+1:O.wrap,Yt={};return Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y).key]={backfilled:!1},K.y>0&&(Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y-1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,O.wrap,K.z,K.x,K.y-1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y-1).key]={backfilled:!1}),K.y+1<de&&(Yt[new i.OverscaledTileID(O.overscaledZ,we,K.z,ne,K.y+1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,O.wrap,K.z,K.x,K.y+1).key]={backfilled:!1},Yt[new i.OverscaledTileID(O.overscaledZ,ht,K.z,Oe,K.y+1).key]={backfilled:!1}),Yt},D.prototype.unloadTile=function(O){O.demTexture&&this.map.painter.saveTileTexture(O.demTexture),O.fbo&&(O.fbo.destroy(),delete O.fbo),O.dem&&delete O.dem,delete O.neighboringTiles,O.state=\"unloaded\",O.actor&&O.actor.send(\"removeDEMTile\",{uid:O.uid,source:this.id})},D})(re),_e=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=K.getActor(),this.setEventedParent(de),this._data=O.data,this._options=i.extend({},O),this._collectResourceTiming=O.collectResourceTiming,this._resourceTiming=[],O.maxzoom!==void 0&&(this.maxzoom=O.maxzoom),O.type&&(this.type=O.type),O.attribution&&(this.attribution=O.attribution),this.promoteId=O.promoteId;var ne=i.EXTENT/this.tileSize;this.workerOptions=i.extend({source:this.id,cluster:O.cluster||!1,geojsonVtOptions:{buffer:(O.buffer!==void 0?O.buffer:128)*ne,tolerance:(O.tolerance!==void 0?O.tolerance:.375)*ne,extent:i.EXTENT,maxZoom:this.maxzoom,lineMetrics:O.lineMetrics||!1,generateId:O.generateId||!1},superclusterOptions:{maxZoom:O.clusterMaxZoom!==void 0?Math.min(O.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,O.clusterMinPoints||2),extent:i.EXTENT,radius:(O.clusterRadius||50)*ne,log:!1,generateId:O.generateId||!1},clusterProperties:O.clusterProperties,filter:O.filter},O.workerOptions)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(K){if(K){O.fire(new i.ErrorEvent(K));return}var de={dataType:\"source\",sourceDataType:\"metadata\"};O._collectResourceTiming&&O._resourceTiming&&O._resourceTiming.length>0&&(de.resourceTiming=O._resourceTiming,O._resourceTiming=[]),O.fire(new i.Event(\"data\",de))})},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setData=function(O){var K=this;return this._data=O,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(de){if(de){K.fire(new i.ErrorEvent(de));return}var ne={dataType:\"source\",sourceDataType:\"content\"};K._collectResourceTiming&&K._resourceTiming&&K._resourceTiming.length>0&&(ne.resourceTiming=K._resourceTiming,K._resourceTiming=[]),K.fire(new i.Event(\"data\",ne))}),this},D.prototype.getClusterExpansionZoom=function(O,K){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:O,source:this.id},K),this},D.prototype.getClusterChildren=function(O,K){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:O,source:this.id},K),this},D.prototype.getClusterLeaves=function(O,K,de,ne){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:O,limit:K,offset:de},ne),this},D.prototype._updateWorkerData=function(O){var K=this;this._loaded=!1;var de=i.extend({},this.workerOptions),ne=this._data;typeof ne==\"string\"?(de.request=this.map._requestManager.transformRequest(i.browser.resolveURL(ne),i.ResourceType.Source),de.request.collectResourceTiming=this._collectResourceTiming):de.data=JSON.stringify(ne),this.actor.send(this.type+\".loadData\",de,function(we,Oe){K._removed||Oe&&Oe.abandoned||(K._loaded=!0,Oe&&Oe.resourceTiming&&Oe.resourceTiming[K.id]&&(K._resourceTiming=Oe.resourceTiming[K.id].slice(0)),K.actor.send(K.type+\".coalesce\",{source:de.source},null),O(we))})},D.prototype.loaded=function(){return this._loaded},D.prototype.loadTile=function(O,K){var de=this,ne=O.actor?\"reloadTile\":\"loadTile\";O.actor=this.actor;var we={type:this.type,uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};O.request=this.actor.send(ne,we,function(Oe,ht){return delete O.request,O.unloadVectorData(),O.aborted?K(null):Oe?K(Oe):(O.loadVectorData(ht,de.map.painter,ne===\"reloadTile\"),K(null))})},D.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.aborted=!0},D.prototype.unloadTile=function(O){O.unloadVectorData(),this.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id})},D.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},D.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},D.prototype.hasTransition=function(){return!1},D})(i.Evented),Ee=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),Ce=(function(Y){function D(J,O,K,de){Y.call(this),this.id=J,this.dispatcher=K,this.coordinates=O.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(de),this.options=O}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(O,K){var de=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(ne,we){de._loaded=!0,ne?de.fire(new i.ErrorEvent(ne)):we&&(de.image=we,O&&(de.coordinates=O),K&&K(),de._finishLoading())})},D.prototype.loaded=function(){return this._loaded},D.prototype.updateImage=function(O){var K=this;return!this.image||!O.url?this:(this.options.url=O.url,this.load(O.coordinates,function(){K.texture=null}),this)},D.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},D.prototype.onAdd=function(O){this.map=O,this.load()},D.prototype.setCoordinates=function(O){var K=this;this.coordinates=O;var de=O.map(i.MercatorCoordinate.fromLngLat);this.tileID=ge(de),this.minzoom=this.maxzoom=this.tileID.z;var ne=de.map(function(we){return K.tileID.getTilePoint(we)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(ne[0].x,ne[0].y,0,0),this._boundsArray.emplaceBack(ne[1].x,ne[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(ne[3].x,ne[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(ne[2].x,ne[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var O=this.map.painter.context,K=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(O,this.image,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.loadTile=function(O,K){this.tileID&&this.tileID.equals(O.tileID.canonical)?(this.tiles[String(O.tileID.wrap)]=O,O.buckets={},K(null)):(O.state=\"errored\",K(null))},D.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return!1},D})(i.Evented);function ge(Y){for(var D=1/0,J=1/0,O=-1/0,K=-1/0,de=0,ne=Y;de<ne.length;de+=1){var we=ne[de];D=Math.min(D,we.x),J=Math.min(J,we.y),O=Math.max(O,we.x),K=Math.max(K,we.y)}var Oe=O-D,ht=K-J,Yt=Math.max(Oe,ht),cr=Math.max(0,Math.floor(-Math.log(Yt)/Math.LN2)),Nt=Math.pow(2,cr);return new i.CanonicalTileID(cr,Math.floor((D+O)/2*Nt),Math.floor((J+K)/2*Nt))}var ie=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),this.roundZoom=!0,this.type=\"video\",this.options=O}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){var O=this;this._loaded=!1;var K=this.options;this.urls=[];for(var de=0,ne=K.urls;de<ne.length;de+=1){var we=ne[de];this.urls.push(this.map._requestManager.transformRequest(we,i.ResourceType.Source).url)}i.getVideo(this.urls,function(Oe,ht){O._loaded=!0,Oe?O.fire(new i.ErrorEvent(Oe)):ht&&(O.video=ht,O.video.loop=!0,O.video.addEventListener(\"playing\",function(){O.map.triggerRepaint()}),O.map&&O.video.play(),O._finishLoading())})},D.prototype.pause=function(){this.video&&this.video.pause()},D.prototype.play=function(){this.video&&this.video.play()},D.prototype.seek=function(O){if(this.video){var K=this.video.seekable;O<K.start(0)||O>K.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+K.start(0)+\" and \"+K.end(0)+\"-second mark.\"))):this.video.currentTime=O}},D.prototype.getVideo=function(){return this.video},D.prototype.onAdd=function(O){this.map||(this.map=O,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},D.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var O=this.map.painter.context,K=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE),K.texSubImage2D(K.TEXTURE_2D,0,0,0,K.RGBA,K.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(O,this.video,K.RGBA),this.texture.bind(K.LINEAR,K.CLAMP_TO_EDGE));for(var de in this.tiles){var ne=this.tiles[de];ne.state!==\"loaded\"&&(ne.state=\"loaded\",ne.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this.video&&!this.video.paused},D})(Ce),Se=(function(Y){function D(J,O,K,de){Y.call(this,J,O,K,de),O.coordinates?(!Array.isArray(O.coordinates)||O.coordinates.length!==4||O.coordinates.some(function(ne){return!Array.isArray(ne)||ne.length!==2||ne.some(function(we){return typeof we!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"coordinates\"'))),O.animate&&typeof O.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'optional \"animate\" property must be a boolean value'))),O.canvas?typeof O.canvas!=\"string\"&&!(O.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+J,null,'missing required property \"canvas\"'))),this.options=O,this.animate=O.animate!==void 0?O.animate:!0}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},D.prototype.getCanvas=function(){return this.canvas},D.prototype.onAdd=function(O){this.map=O,this.load(),this.canvas&&this.animate&&this.play()},D.prototype.onRemove=function(){this.pause()},D.prototype.prepare=function(){var O=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,O=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,O=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var K=this.map.painter.context,de=K.gl;this.boundsBuffer||(this.boundsBuffer=K.createVertexBuffer(this._boundsArray,Ee.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(O||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture(K,this.canvas,de.RGBA,{premultiply:!0});for(var ne in this.tiles){var we=this.tiles[ne];we.state!==\"loaded\"&&(we.state=\"loaded\",we.texture=this.texture)}}},D.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},D.prototype.hasTransition=function(){return this._playing},D.prototype._hasInvalidDimensions=function(){for(var O=0,K=[this.canvas.width,this.canvas.height];O<K.length;O+=1){var de=K[O];if(isNaN(de)||de<=0)return!0}return!1},D})(Ce),ke={vector:H,raster:re,\"raster-dem\":ae,geojson:_e,video:ie,image:Ce,canvas:Se},be=function(Y,D,J,O){var K=new ke[D.type](Y,D,J,O);if(K.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+K.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],K),K},Be=function(Y){return ke[Y]},Le=function(Y,D){ke[Y]=D};function me(Y,D){var J=i.identity([]);return i.translate(J,J,[1,1,0]),i.scale(J,J,[Y.width*.5,Y.height*.5,1]),i.multiply(J,J,Y.calculatePosMatrix(D.toUnwrapped()))}function Pe(Y,D,J){if(Y)for(var O=0,K=Y;O<K.length;O+=1){var de=K[O],ne=D[de];if(ne&&ne.source===J&&ne.type===\"fill-extrusion\")return!0}else for(var we in D){var Oe=D[we];if(Oe.source===J&&Oe.type===\"fill-extrusion\")return!0}return!1}function ce(Y,D,J,O,K,de){var ne=Pe(K&&K.layers,D,Y.id),we=de.maxPitchScaleFactor(),Oe=Y.tilesIn(O,we,ne);Oe.sort(mt);for(var ht=[],Yt=0,cr=Oe;Yt<cr.length;Yt+=1){var Nt=cr[Yt];ht.push({wrappedTileID:Nt.tileID.wrapped().key,queryResults:Nt.tile.queryRenderedFeatures(D,J,Y._state,Nt.queryGeometry,Nt.cameraQueryGeometry,Nt.scale,K,de,we,me(Y.transform,Nt.tileID))})}var Ne=Ht(ht);for(var $e in Ne)Ne[$e].forEach(function(st){var It=st.feature,Bt=Y.getFeatureState(It.layer[\"source-layer\"],It.id);It.source=It.layer.source,It.layer[\"source-layer\"]&&(It.sourceLayer=It.layer[\"source-layer\"]),It.state=Bt});return Ne}function He(Y,D,J,O,K,de,ne){for(var we={},Oe=de.queryRenderedSymbols(O),ht=[],Yt=0,cr=Object.keys(Oe).map(Number);Yt<cr.length;Yt+=1){var Nt=cr[Yt];ht.push(ne[Nt])}ht.sort(mt);for(var Ne=function(){var Ft=st[$e],Ut=Ft.featureIndex.lookupSymbolFeatures(Oe[Ft.bucketInstanceId],D,Ft.bucketIndex,Ft.sourceLayerIndex,K.filter,K.layers,K.availableImages,Y);for(var zt in Ut){var _t=we[zt]=we[zt]||[],Dt=Ut[zt];Dt.sort(function(Br,Di){var ci=Ft.featureSortOrder;if(ci){var bi=ci.indexOf(Br.featureIndex),gn=ci.indexOf(Di.featureIndex);return gn-bi}else 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Fn=519,An=function(D,J,O){this.func=D,this.mask=J,this.range=O};An.ReadOnly=!1,An.ReadWrite=!0,An.disabled=new An(Fn,An.ReadOnly,[0,1]);var Hn=519,Qn=7680,Vi=function(D,J,O,K,de,ne){this.test=D,this.ref=J,this.mask=O,this.fail=K,this.depthFail=de,this.pass=ne};Vi.disabled=new Vi({func:Hn,mask:0},0,0,Qn,Qn,Qn);var Jn=0,Yn=1,Gt=771,wt=function(D,J,O){this.blendFunction=D,this.blendColor=J,this.mask=O};wt.Replace=[Yn,Jn],wt.disabled=new wt(wt.Replace,i.Color.transparent,[!1,!1,!1,!1]),wt.unblended=new wt(wt.Replace,i.Color.transparent,[!0,!0,!0,!0]),wt.alphaBlended=new wt([Yn,Gt],i.Color.transparent,[!0,!0,!0,!0]);var tr=1029,ir=2305,wr=function(D,J,O){this.enable=D,this.mode=J,this.frontFace=O};wr.disabled=new wr(!1,tr,ir),wr.backCCW=new wr(!0,tr,ir);var Xr=function(D){this.gl=D,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new tt(this),this.clearDepth=new je(this),this.clearStencil=new Ue(this),this.colorMask=new Ae(this),this.depthMask=new rt(this),this.stencilMask=new St(this),this.stencilFunc=new Tt(this),this.stencilOp=new dt(this),this.stencilTest=new Et(this),this.depthRange=new pt(this),this.depthTest=new jt(this),this.depthFunc=new or(this),this.blend=new mr(this),this.blendFunc=new Ar(this),this.blendColor=new ei(this),this.blendEquation=new qr(this),this.cullFace=new jr(this),this.cullFaceSide=new gt(this),this.frontFace=new Ge(this),this.program=new Je(this),this.activeTexture=new We(this),this.viewport=new et(this),this.bindFramebuffer=new xt(this),this.bindRenderbuffer=new At(this),this.bindTexture=new Kt(this),this.bindVertexBuffer=new Qt(this),this.bindElementBuffer=new Mr(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new Gr(this),this.pixelStoreUnpack=new Ir(this),this.pixelStoreUnpackPremultiplyAlpha=new Yr(this),this.pixelStoreUnpackFlipY=new _i(this),this.extTextureFilterAnisotropic=D.getExtension(\"EXT_texture_filter_anisotropic\")||D.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||D.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=D.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=D.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(D.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=D.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=D.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=D.getParameter(D.MAX_TEXTURE_SIZE)};Xr.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Xr.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Xr.prototype.createIndexBuffer=function(D,J){return new ct(this,D,J)},Xr.prototype.createVertexBuffer=function(D,J,O){return new Vt(this,D,J,O)},Xr.prototype.createRenderbuffer=function(D,J,O){var K=this.gl,de=K.createRenderbuffer();return this.bindRenderbuffer.set(de),K.renderbufferStorage(K.RENDERBUFFER,D,J,O),this.bindRenderbuffer.set(null),de},Xr.prototype.createFramebuffer=function(D,J,O){return new un(this,D,J,O)},Xr.prototype.clear=function(D){var J=D.color,O=D.depth,K=this.gl,de=0;J&&(de|=K.COLOR_BUFFER_BIT,this.clearColor.set(J),this.colorMask.set([!0,!0,!0,!0])),typeof O!=\"undefined\"&&(de|=K.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(O),this.depthMask.set(!0)),K.clear(de)},Xr.prototype.setCullFace=function(D){D.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(D.mode),this.frontFace.set(D.frontFace))},Xr.prototype.setDepthMode=function(D){D.func===this.gl.ALWAYS&&!D.mask?this.depthTest.set(!1):(this.depthTest.set(!0),this.depthFunc.set(D.func),this.depthMask.set(D.mask),this.depthRange.set(D.range))},Xr.prototype.setStencilMode=function(D){D.test.func===this.gl.ALWAYS&&!D.mask?this.stencilTest.set(!1):(this.stencilTest.set(!0),this.stencilMask.set(D.mask),this.stencilOp.set([D.fail,D.depthFail,D.pass]),this.stencilFunc.set({func:D.test.func,ref:D.ref,mask:D.test.mask}))},Xr.prototype.setColorMode=function(D){i.deepEqual(D.blendFunction,wt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(D.blendFunction),this.blendColor.set(D.blendColor)),this.colorMask.set(D.mask)},Xr.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var ti=(function(Y){function D(J,O,K){var de=this;Y.call(this),this.id=J,this.dispatcher=K,this.on(\"data\",function(ne){ne.dataType===\"source\"&&ne.sourceDataType===\"metadata\"&&(de._sourceLoaded=!0),de._sourceLoaded&&!de._paused&&ne.dataType===\"source\"&&ne.sourceDataType===\"content\"&&(de.reload(),de.transform&&de.update(de.transform))}),this.on(\"error\",function(){de._sourceErrored=!0}),this._source=be(J,O,K,this),this._tiles={},this._cache=new at(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new i.SourceFeatureState}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(O){this.map=O,this._maxTileCacheSize=O?O._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(O)},D.prototype.onRemove=function(O){this._source&&this._source.onRemove&&this._source.onRemove(O)},D.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;for(var O in this._tiles){var K=this._tiles[O];if(K.state!==\"loaded\"&&K.state!==\"errored\")return!1}return!0},D.prototype.getSource=function(){return this._source},D.prototype.pause=function(){this._paused=!0},D.prototype.resume=function(){if(this._paused){var O=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,O&&this.reload(),this.transform&&this.update(this.transform)}},D.prototype._loadTile=function(O,K){return this._source.loadTile(O,K)},D.prototype._unloadTile=function(O){if(this._source.unloadTile)return this._source.unloadTile(O,function(){})},D.prototype._abortTile=function(O){if(this._source.abortTile)return this._source.abortTile(O,function(){})},D.prototype.serialize=function(){return this._source.serialize()},D.prototype.prepare=function(O){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(var K in this._tiles){var de=this._tiles[K];de.upload(O),de.prepare(this.map.style.imageManager)}},D.prototype.getIds=function(){return i.values(this._tiles).map(function(O){return O.tileID}).sort($r).map(function(O){return O.key})},D.prototype.getRenderableIds=function(O){var K=this,de=[];for(var ne in this._tiles)this._isIdRenderable(ne,O)&&de.push(this._tiles[ne]);return O?de.sort(function(we,Oe){var ht=we.tileID,Yt=Oe.tileID,cr=new i.Point(ht.canonical.x,ht.canonical.y)._rotate(K.transform.angle),Nt=new i.Point(Yt.canonical.x,Yt.canonical.y)._rotate(K.transform.angle);return ht.overscaledZ-Yt.overscaledZ||Nt.y-cr.y||Nt.x-cr.x}).map(function(we){return we.tileID.key}):de.map(function(we){return we.tileID}).sort($r).map(function(we){return we.key})},D.prototype.hasRenderableParent=function(O){var K=this.findLoadedParent(O,0);return K?this._isIdRenderable(K.tileID.key):!1},D.prototype._isIdRenderable=function(O,K){return this._tiles[O]&&this._tiles[O].hasData()&&!this._coveredTiles[O]&&(K||!this._tiles[O].holdingForFade())},D.prototype.reload=function(){if(this._paused){this._shouldReloadOnResume=!0;return}this._cache.reset();for(var O in this._tiles)this._tiles[O].state!==\"errored\"&&this._reloadTile(O,\"reloading\")},D.prototype._reloadTile=function(O,K){var de=this._tiles[O];de&&(de.state!==\"loading\"&&(de.state=K),this._loadTile(de,this._tileLoaded.bind(this,de,O,K)))},D.prototype._tileLoaded=function(O,K,de,ne){if(ne){O.state=\"errored\",ne.status!==404?this._source.fire(new i.ErrorEvent(ne,{tile:O})):this.update(this.transform);return}O.timeAdded=i.browser.now(),de===\"expired\"&&(O.refreshedUponExpiration=!0),this._setTileReloadTimer(K,O),this.getSource().type===\"raster-dem\"&&O.dem&&this._backfillDEM(O),this._state.initializeTileState(O,this.map?this.map.painter:null),this._source.fire(new i.Event(\"data\",{dataType:\"source\",tile:O,coord:O.tileID}))},D.prototype._backfillDEM=function(O){for(var K=this.getRenderableIds(),de=0;de<K.length;de++){var ne=K[de];if(O.neighboringTiles&&O.neighboringTiles[ne]){var we=this.getTileByID(ne);Oe(O,we),Oe(we,O)}}function Oe(ht,Yt){ht.needsHillshadePrepare=!0;var cr=Yt.tileID.canonical.x-ht.tileID.canonical.x,Nt=Yt.tileID.canonical.y-ht.tileID.canonical.y,Ne=Math.pow(2,ht.tileID.canonical.z),$e=Yt.tileID.key;cr===0&&Nt===0||Math.abs(Nt)>1||(Math.abs(cr)>1&&(Math.abs(cr+Ne)===1?cr+=Ne:Math.abs(cr-Ne)===1&&(cr-=Ne)),!(!Yt.dem||!ht.dem)&&(ht.dem.backfillBorder(Yt.dem,cr,Nt),ht.neighboringTiles&&ht.neighboringTiles[$e]&&(ht.neighboringTiles[$e].backfilled=!0)))}},D.prototype.getTile=function(O){return this.getTileByID(O.key)},D.prototype.getTileByID=function(O){return this._tiles[O]},D.prototype._retainLoadedChildren=function(O,K,de,ne){for(var we in this._tiles){var Oe=this._tiles[we];if(!(ne[we]||!Oe.hasData()||Oe.tileID.overscaledZ<=K||Oe.tileID.overscaledZ>de)){for(var ht=Oe.tileID;Oe&&Oe.tileID.overscaledZ>K+1;){var Yt=Oe.tileID.scaledTo(Oe.tileID.overscaledZ-1);Oe=this._tiles[Yt.key],Oe&&Oe.hasData()&&(ht=Yt)}for(var cr=ht;cr.overscaledZ>K;)if(cr=cr.scaledTo(cr.overscaledZ-1),O[cr.key]){ne[ht.key]=ht;break}}}},D.prototype.findLoadedParent=function(O,K){if(O.key in this._loadedParentTiles){var de=this._loadedParentTiles[O.key];return de&&de.tileID.overscaledZ>=K?de:null}for(var ne=O.overscaledZ-1;ne>=K;ne--){var we=O.scaledTo(ne),Oe=this._getLoadedTile(we);if(Oe)return Oe}},D.prototype._getLoadedTile=function(O){var K=this._tiles[O.key];if(K&&K.hasData())return K;var de=this._cache.getByKey(O.wrapped().key);return de},D.prototype.updateCacheSize=function(O){var K=Math.ceil(O.width/this._source.tileSize)+1,de=Math.ceil(O.height/this._source.tileSize)+1,ne=K*de,we=5,Oe=Math.floor(ne*we),ht=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,Oe):Oe;this._cache.setMaxSize(ht)},D.prototype.handleWrapJump=function(O){var K=this._prevLng===void 0?O:this._prevLng,de=O-K,ne=de/360,we=Math.round(ne);if(this._prevLng=O,we){var Oe={};for(var ht in this._tiles){var Yt=this._tiles[ht];Yt.tileID=Yt.tileID.unwrapTo(Yt.tileID.wrap+we),Oe[Yt.tileID.key]=Yt}this._tiles=Oe;for(var cr in this._timers)clearTimeout(this._timers[cr]),delete this._timers[cr];for(var Nt in this._tiles){var Ne=this._tiles[Nt];this._setTileReloadTimer(Nt,Ne)}}},D.prototype.update=function(O){var K=this;if(this.transform=O,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(O),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var de;this.used?this._source.tileID?de=O.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(Br){return new i.OverscaledTileID(Br.canonical.z,Br.wrap,Br.canonical.z,Br.canonical.x,Br.canonical.y)}):(de=O.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(de=de.filter(function(Br){return K._source.hasTile(Br)}))):de=[];var ne=O.coveringZoomLevel(this._source),we=Math.max(ne-D.maxOverzooming,this._source.minzoom),Oe=Math.max(ne+D.maxUnderzooming,this._source.minzoom),ht=this._updateRetainedTiles(de,ne);if(Ri(this._source.type)){for(var Yt={},cr={},Nt=Object.keys(ht),Ne=0,$e=Nt;Ne<$e.length;Ne+=1){var st=$e[Ne],It=ht[st],Bt=this._tiles[st];if(!(!Bt||Bt.fadeEndTime&&Bt.fadeEndTime<=i.browser.now())){var Ft=this.findLoadedParent(It,we);Ft&&(this._addTile(Ft.tileID),Yt[Ft.tileID.key]=Ft.tileID),cr[st]=It}}this._retainLoadedChildren(cr,ne,Oe,ht);for(var Ut in Yt)ht[Ut]||(this._coveredTiles[Ut]=!0,ht[Ut]=Yt[Ut])}for(var zt in ht)this._tiles[zt].clearFadeHold();for(var _t=i.keysDifference(this._tiles,ht),Dt=0,vt=_t;Dt<vt.length;Dt+=1){var lr=vt[Dt],_r=this._tiles[lr];_r.hasSymbolBuckets&&!_r.holdingForFade()?_r.setHoldDuration(this.map._fadeDuration):(!_r.hasSymbolBuckets||_r.symbolFadeFinished())&&this._removeTile(lr)}this._updateLoadedParentTileCache()}},D.prototype.releaseSymbolFadeTiles=function(){for(var O in this._tiles)this._tiles[O].holdingForFade()&&this._removeTile(O)},D.prototype._updateRetainedTiles=function(O,K){for(var de={},ne={},we=Math.max(K-D.maxOverzooming,this._source.minzoom),Oe=Math.max(K+D.maxUnderzooming,this._source.minzoom),ht={},Yt=0,cr=O;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=this._addTile(Nt);de[Nt.key]=Nt,!Ne.hasData()&&K<this._source.maxzoom&&(ht[Nt.key]=Nt)}this._retainLoadedChildren(ht,K,Oe,de);for(var $e=0,st=O;$e<st.length;$e+=1){var It=st[$e],Bt=this._tiles[It.key];if(!Bt.hasData()){if(K+1>this._source.maxzoom){var Ft=It.children(this._source.maxzoom)[0],Ut=this.getTile(Ft);if(Ut&&Ut.hasData()){de[Ft.key]=Ft;continue}}else{var zt=It.children(this._source.maxzoom);if(de[zt[0].key]&&de[zt[1].key]&&de[zt[2].key]&&de[zt[3].key])continue}for(var _t=Bt.wasRequested(),Dt=It.overscaledZ-1;Dt>=we;--Dt){var vt=It.scaledTo(Dt);if(ne[vt.key]||(ne[vt.key]=!0,Bt=this.getTile(vt),!Bt&&_t&&(Bt=this._addTile(vt)),Bt&&(de[vt.key]=vt,_t=Bt.wasRequested(),Bt.hasData())))break}}}return de},D.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var O in this._tiles){for(var K=[],de=void 0,ne=this._tiles[O].tileID;ne.overscaledZ>0;){if(ne.key in this._loadedParentTiles){de=this._loadedParentTiles[ne.key];break}K.push(ne.key);var we=ne.scaledTo(ne.overscaledZ-1);if(de=this._getLoadedTile(we),de)break;ne=we}for(var Oe=0,ht=K;Oe<ht.length;Oe+=1){var Yt=ht[Oe];this._loadedParentTiles[Yt]=de}}},D.prototype._addTile=function(O){var K=this._tiles[O.key];if(K)return K;K=this._cache.getAndRemove(O),K&&(this._setTileReloadTimer(O.key,K),K.tileID=O,this._state.initializeTileState(K,this.map?this.map.painter:null),this._cacheTimers[O.key]&&(clearTimeout(this._cacheTimers[O.key]),delete this._cacheTimers[O.key],this._setTileReloadTimer(O.key,K)));var de=!!K;return de||(K=new i.Tile(O,this._source.tileSize*O.overscaleFactor()),this._loadTile(K,this._tileLoaded.bind(this,K,O.key,K.state))),K?(K.uses++,this._tiles[O.key]=K,de||this._source.fire(new i.Event(\"dataloading\",{tile:K,coord:K.tileID,dataType:\"source\"})),K):null},D.prototype._setTileReloadTimer=function(O,K){var de=this;O in this._timers&&(clearTimeout(this._timers[O]),delete this._timers[O]);var ne=K.getExpiryTimeout();ne&&(this._timers[O]=setTimeout(function(){de._reloadTile(O,\"expired\"),delete de._timers[O]},ne))},D.prototype._removeTile=function(O){var K=this._tiles[O];K&&(K.uses--,delete this._tiles[O],this._timers[O]&&(clearTimeout(this._timers[O]),delete this._timers[O]),!(K.uses>0)&&(K.hasData()&&K.state!==\"reloading\"?this._cache.add(K.tileID,K,K.getExpiryTimeout()):(K.aborted=!0,this._abortTile(K),this._unloadTile(K))))},D.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var O in this._tiles)this._removeTile(O);this._cache.reset()},D.prototype.tilesIn=function(O,K,de){var ne=this,we=[],Oe=this.transform;if(!Oe)return we;for(var ht=de?Oe.getCameraQueryGeometry(O):O,Yt=O.map(function(Dt){return Oe.pointCoordinate(Dt)}),cr=ht.map(function(Dt){return Oe.pointCoordinate(Dt)}),Nt=this.getIds(),Ne=1/0,$e=1/0,st=-1/0,It=-1/0,Bt=0,Ft=cr;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt];Ne=Math.min(Ne,Ut.x),$e=Math.min($e,Ut.y),st=Math.max(st,Ut.x),It=Math.max(It,Ut.y)}for(var zt=function(Dt){var vt=ne._tiles[Nt[Dt]];if(!vt.holdingForFade()){var lr=vt.tileID,_r=Math.pow(2,Oe.zoom-vt.tileID.overscaledZ),Br=K*vt.queryPadding*i.EXTENT/vt.tileSize/_r,Di=[lr.getTilePoint(new i.MercatorCoordinate(Ne,$e)),lr.getTilePoint(new i.MercatorCoordinate(st,It))];if(Di[0].x-Br<i.EXTENT&&Di[0].y-Br<i.EXTENT&&Di[1].x+Br>=0&&Di[1].y+Br>=0){var ci=Yt.map(function(gn){return lr.getTilePoint(gn)}),bi=cr.map(function(gn){return lr.getTilePoint(gn)});we.push({tile:vt,tileID:lr,queryGeometry:ci,cameraQueryGeometry:bi,scale:_r})}}},_t=0;_t<Nt.length;_t++)zt(_t);return we},D.prototype.getVisibleCoordinates=function(O){for(var K=this,de=this.getRenderableIds(O).map(function(ht){return K._tiles[ht].tileID}),ne=0,we=de;ne<we.length;ne+=1){var Oe=we[ne];Oe.posMatrix=this.transform.calculatePosMatrix(Oe.toUnwrapped())}return de},D.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ri(this._source.type))for(var O in this._tiles){var K=this._tiles[O];if(K.fadeEndTime!==void 0&&K.fadeEndTime>=i.browser.now())return!0}return!1},D.prototype.setFeatureState=function(O,K,de){O=O||\"_geojsonTileLayer\",this._state.updateState(O,K,de)},D.prototype.removeFeatureState=function(O,K,de){O=O||\"_geojsonTileLayer\",this._state.removeFeatureState(O,K,de)},D.prototype.getFeatureState=function(O,K){return O=O||\"_geojsonTileLayer\",this._state.getState(O,K)},D.prototype.setDependencies=function(O,K,de){var ne=this._tiles[O];ne&&ne.setDependencies(K,de)},D.prototype.reloadTilesForDependencies=function(O,K){for(var de in this._tiles){var ne=this._tiles[de];ne.hasDependency(O,K)&&this._reloadTile(de,\"reloading\")}this._cache.filter(function(we){return!we.hasDependency(O,K)})},D})(i.Evented);ti.maxOverzooming=10,ti.maxUnderzooming=3;function $r(Y,D){var J=Math.abs(Y.wrap*2)-+(Y.wrap<0),O=Math.abs(D.wrap*2)-+(D.wrap<0);return Y.overscaledZ-D.overscaledZ||O-J||D.canonical.y-Y.canonical.y||D.canonical.x-Y.canonical.x}function Ri(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Hi(){return new i.window.Worker(io.workerUrl)}var en=\"mapboxgl_preloaded_worker_pool\",fn=function(){this.active={}};fn.prototype.acquire=function(D){if(!this.workers)for(this.workers=[];this.workers.length<fn.workerCount;)this.workers.push(new Hi);return this.active[D]=!0,this.workers.slice()},fn.prototype.release=function(D){delete this.active[D],this.numActive()===0&&(this.workers.forEach(function(J){J.terminate()}),this.workers=null)},fn.prototype.isPreloaded=function(){return!!this.active[en]},fn.prototype.numActive=function(){return Object.keys(this.active).length};var yn=Math.floor(i.browser.hardwareConcurrency/2);fn.workerCount=Math.max(Math.min(yn,6),1);var Mn;function Ba(){return Mn||(Mn=new fn),Mn}function ua(){var Y=Ba();Y.acquire(en)}function ma(){var Y=Mn;Y&&(Y.isPreloaded()&&Y.numActive()===1?(Y.release(en),Mn=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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da={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function jn(Y,D,J){J.push({command:da.addSource,args:[Y,D[Y]]})}function Ha(Y,D,J){D.push({command:da.removeSource,args:[Y]}),J[Y]=!0}function vo(Y,D,J,O){Ha(Y,J,O),jn(Y,D,J)}function Gn(Y,D,J){var O;for(O in Y[J])if(Y[J].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[J][O],D[J][O]))return!1;for(O in D[J])if(D[J].hasOwnProperty(O)&&O!==\"data\"&&!i.deepEqual(Y[J][O],D[J][O]))return!1;return!0}function Ct(Y,D,J,O){Y=Y||{},D=D||{};var K;for(K in Y)Y.hasOwnProperty(K)&&(D.hasOwnProperty(K)||Ha(K,J,O));for(K in D)D.hasOwnProperty(K)&&(Y.hasOwnProperty(K)?i.deepEqual(Y[K],D[K])||(Y[K].type===\"geojson\"&&D[K].type===\"geojson\"&&Gn(Y,D,K)?J.push({command:da.setGeoJSONSourceData,args:[K,D[K].data]}):vo(K,D,J,O)):jn(K,D,J))}function Sr(Y,D,J,O,K,de){Y=Y||{},D=D||{};var ne;for(ne in Y)Y.hasOwnProperty(ne)&&(i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[O,ne,D[ne],K]}));for(ne in D)!D.hasOwnProperty(ne)||Y.hasOwnProperty(ne)||i.deepEqual(Y[ne],D[ne])||J.push({command:de,args:[O,ne,D[ne],K]})}function Jr(Y){return Y.id}function hi(Y,D){return Y[D.id]=D,Y}function hn(Y,D,J){Y=Y||[],D=D||[];var O=Y.map(Jr),K=D.map(Jr),de=Y.reduce(hi,{}),ne=D.reduce(hi,{}),we=O.slice(),Oe=Object.create(null),ht,Yt,cr,Nt,Ne,$e,st;for(ht=0,Yt=0;ht<O.length;ht++)cr=O[ht],ne.hasOwnProperty(cr)?Yt++:(J.push({command:da.removeLayer,args:[cr]}),we.splice(we.indexOf(cr,Yt),1));for(ht=0,Yt=0;ht<K.length;ht++)cr=K[K.length-1-ht],we[we.length-1-ht]!==cr&&(de.hasOwnProperty(cr)?(J.push({command:da.removeLayer,args:[cr]}),we.splice(we.lastIndexOf(cr,we.length-Yt),1)):Yt++,$e=we[we.length-ht],J.push({command:da.addLayer,args:[ne[cr],$e]}),we.splice(we.length-ht,0,cr),Oe[cr]=!0);for(ht=0;ht<K.length;ht++)if(cr=K[ht],Nt=de[cr],Ne=ne[cr],!(Oe[cr]||i.deepEqual(Nt,Ne))){if(!i.deepEqual(Nt.source,Ne.source)||!i.deepEqual(Nt[\"source-layer\"],Ne[\"source-layer\"])||!i.deepEqual(Nt.type,Ne.type)){J.push({command:da.removeLayer,args:[cr]}),$e=we[we.lastIndexOf(cr)+1],J.push({command:da.addLayer,args:[Ne,$e]});continue}Sr(Nt.layout,Ne.layout,J,cr,null,da.setLayoutProperty),Sr(Nt.paint,Ne.paint,J,cr,null,da.setPaintProperty),i.deepEqual(Nt.filter,Ne.filter)||J.push({command:da.setFilter,args:[cr,Ne.filter]}),(!i.deepEqual(Nt.minzoom,Ne.minzoom)||!i.deepEqual(Nt.maxzoom,Ne.maxzoom))&&J.push({command:da.setLayerZoomRange,args:[cr,Ne.minzoom,Ne.maxzoom]});for(st in Nt)Nt.hasOwnProperty(st)&&(st===\"layout\"||st===\"paint\"||st===\"filter\"||st===\"metadata\"||st===\"minzoom\"||st===\"maxzoom\"||(st.indexOf(\"paint.\")===0?Sr(Nt[st],Ne[st],J,cr,st.slice(6),da.setPaintProperty):i.deepEqual(Nt[st],Ne[st])||J.push({command:da.setLayerProperty,args:[cr,st,Ne[st]]})));for(st in Ne)!Ne.hasOwnProperty(st)||Nt.hasOwnProperty(st)||st===\"layout\"||st===\"paint\"||st===\"filter\"||st===\"metadata\"||st===\"minzoom\"||st===\"maxzoom\"||(st.indexOf(\"paint.\")===0?Sr(Nt[st],Ne[st],J,cr,st.slice(6),da.setPaintProperty):i.deepEqual(Nt[st],Ne[st])||J.push({command:da.setLayerProperty,args:[cr,st,Ne[st]]}))}}function Sn(Y,D){if(!Y)return[{command:da.setStyle,args:[D]}];var J=[];try{if(!i.deepEqual(Y.version,D.version))return[{command:da.setStyle,args:[D]}];i.deepEqual(Y.center,D.center)||J.push({command:da.setCenter,args:[D.center]}),i.deepEqual(Y.zoom,D.zoom)||J.push({command:da.setZoom,args:[D.zoom]}),i.deepEqual(Y.bearing,D.bearing)||J.push({command:da.setBearing,args:[D.bearing]}),i.deepEqual(Y.pitch,D.pitch)||J.push({command:da.setPitch,args:[D.pitch]}),i.deepEqual(Y.sprite,D.sprite)||J.push({command:da.setSprite,args:[D.sprite]}),i.deepEqual(Y.glyphs,D.glyphs)||J.push({command:da.setGlyphs,args:[D.glyphs]}),i.deepEqual(Y.transition,D.transition)||J.push({command:da.setTransition,args:[D.transition]}),i.deepEqual(Y.light,D.light)||J.push({command:da.setLight,args:[D.light]});var O={},K=[];Ct(Y.sources,D.sources,K,O);var de=[];Y.layers&&Y.layers.forEach(function(ne){O[ne.source]?J.push({command:da.removeLayer,args:[ne.id]}):de.push(ne)}),J=J.concat(K),hn(de,D.layers,J)}catch(ne){console.warn(\"Unable to compute style diff:\",ne),J=[{command:da.setStyle,args:[D]}]}return J}var En=function(D,J){this.reset(D,J)};En.prototype.reset=function(D,J){this.points=D||[],this._distances=[0];for(var O=1;O<this.points.length;O++)this._distances[O]=this._distances[O-1]+this.points[O].dist(this.points[O-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(J||0,this.length*.5),this.paddedLength=this.length-this.padding*2},En.prototype.lerp=function(D){if(this.points.length===1)return this.points[0];D=i.clamp(D,0,1);for(var J=1,O=this._distances[J],K=D*this.paddedLength+this.padding;O<K&&J<this._distances.length;)O=this._distances[++J];var de=J-1,ne=this._distances[de],we=O-ne,Oe=we>0?(K-ne)/we:0;return this.points[de].mult(1-Oe).add(this.points[J].mult(Oe))};var ki=function(D,J,O){var K=this.boxCells=[],de=this.circleCells=[];this.xCellCount=Math.ceil(D/O),this.yCellCount=Math.ceil(J/O);for(var ne=0;ne<this.xCellCount*this.yCellCount;ne++)K.push([]),de.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=D,this.height=J,this.xScale=this.xCellCount/D,this.yScale=this.yCellCount/J,this.boxUid=0,this.circleUid=0};ki.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},ki.prototype.insert=function(D,J,O,K,de){this._forEachCell(J,O,K,de,this._insertBoxCell,this.boxUid++),this.boxKeys.push(D),this.bboxes.push(J),this.bboxes.push(O),this.bboxes.push(K),this.bboxes.push(de)},ki.prototype.insertCircle=function(D,J,O,K){this._forEachCell(J-K,O-K,J+K,O+K,this._insertCircleCell,this.circleUid++),this.circleKeys.push(D),this.circles.push(J),this.circles.push(O),this.circles.push(K)},ki.prototype._insertBoxCell=function(D,J,O,K,de,ne){this.boxCells[de].push(ne)},ki.prototype._insertCircleCell=function(D,J,O,K,de,ne){this.circleCells[de].push(ne)},ki.prototype._query=function(D,J,O,K,de,ne){if(O<0||D>this.width||K<0||J>this.height)return de?!1:[];var we=[];if(D<=0&&J<=0&&this.width<=O&&this.height<=K){if(de)return!0;for(var Oe=0;Oe<this.boxKeys.length;Oe++)we.push({key:this.boxKeys[Oe],x1:this.bboxes[Oe*4],y1:this.bboxes[Oe*4+1],x2:this.bboxes[Oe*4+2],y2:this.bboxes[Oe*4+3]});for(var ht=0;ht<this.circleKeys.length;ht++){var Yt=this.circles[ht*3],cr=this.circles[ht*3+1],Nt=this.circles[ht*3+2];we.push({key:this.circleKeys[ht],x1:Yt-Nt,y1:cr-Nt,x2:Yt+Nt,y2:cr+Nt})}return ne?we.filter(ne):we}else{var Ne={hitTest:de,seenUids:{box:{},circle:{}}};return this._forEachCell(D,J,O,K,this._queryCell,we,Ne,ne),de?we.length>0:we}},ki.prototype._queryCircle=function(D,J,O,K,de){var ne=D-O,we=D+O,Oe=J-O,ht=J+O;if(we<0||ne>this.width||ht<0||Oe>this.height)return K?!1:[];var Yt=[],cr={hitTest:K,circle:{x:D,y:J,radius:O},seenUids:{box:{},circle:{}}};return this._forEachCell(ne,Oe,we,ht,this._queryCellCircle,Yt,cr,de),K?Yt.length>0:Yt},ki.prototype.query=function(D,J,O,K,de){return this._query(D,J,O,K,!1,de)},ki.prototype.hitTest=function(D,J,O,K,de){return this._query(D,J,O,K,!0,de)},ki.prototype.hitTestCircle=function(D,J,O,K){return this._queryCircle(D,J,O,!0,K)},ki.prototype._queryCell=function(D,J,O,K,de,ne,we,Oe){var ht=we.seenUids,Yt=this.boxCells[de];if(Yt!==null)for(var cr=this.bboxes,Nt=0,Ne=Yt;Nt<Ne.length;Nt+=1){var $e=Ne[Nt];if(!ht.box[$e]){ht.box[$e]=!0;var st=$e*4;if(D<=cr[st+2]&&J<=cr[st+3]&&O>=cr[st+0]&&K>=cr[st+1]&&(!Oe||Oe(this.boxKeys[$e]))){if(we.hitTest)return ne.push(!0),!0;ne.push({key:this.boxKeys[$e],x1:cr[st],y1:cr[st+1],x2:cr[st+2],y2:cr[st+3]})}}}var It=this.circleCells[de];if(It!==null)for(var Bt=this.circles,Ft=0,Ut=It;Ft<Ut.length;Ft+=1){var zt=Ut[Ft];if(!ht.circle[zt]){ht.circle[zt]=!0;var _t=zt*3;if(this._circleAndRectCollide(Bt[_t],Bt[_t+1],Bt[_t+2],D,J,O,K)&&(!Oe||Oe(this.circleKeys[zt]))){if(we.hitTest)return ne.push(!0),!0;var Dt=Bt[_t],vt=Bt[_t+1],lr=Bt[_t+2];ne.push({key:this.circleKeys[zt],x1:Dt-lr,y1:vt-lr,x2:Dt+lr,y2:vt+lr})}}}},ki.prototype._queryCellCircle=function(D,J,O,K,de,ne,we,Oe){var ht=we.circle,Yt=we.seenUids,cr=this.boxCells[de];if(cr!==null)for(var Nt=this.bboxes,Ne=0,$e=cr;Ne<$e.length;Ne+=1){var st=$e[Ne];if(!Yt.box[st]){Yt.box[st]=!0;var It=st*4;if(this._circleAndRectCollide(ht.x,ht.y,ht.radius,Nt[It+0],Nt[It+1],Nt[It+2],Nt[It+3])&&(!Oe||Oe(this.boxKeys[st])))return ne.push(!0),!0}}var Bt=this.circleCells[de];if(Bt!==null)for(var Ft=this.circles,Ut=0,zt=Bt;Ut<zt.length;Ut+=1){var _t=zt[Ut];if(!Yt.circle[_t]){Yt.circle[_t]=!0;var Dt=_t*3;if(this._circlesCollide(Ft[Dt],Ft[Dt+1],Ft[Dt+2],ht.x,ht.y,ht.radius)&&(!Oe||Oe(this.circleKeys[_t])))return ne.push(!0),!0}}},ki.prototype._forEachCell=function(D,J,O,K,de,ne,we,Oe){for(var ht=this._convertToXCellCoord(D),Yt=this._convertToYCellCoord(J),cr=this._convertToXCellCoord(O),Nt=this._convertToYCellCoord(K),Ne=ht;Ne<=cr;Ne++)for(var $e=Yt;$e<=Nt;$e++){var st=this.xCellCount*$e+Ne;if(de.call(this,D,J,O,K,st,ne,we,Oe))return}},ki.prototype._convertToXCellCoord=function(D){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(D*this.xScale)))},ki.prototype._convertToYCellCoord=function(D){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(D*this.yScale)))},ki.prototype._circlesCollide=function(D,J,O,K,de,ne){var we=K-D,Oe=de-J,ht=O+ne;return ht*ht>we*we+Oe*Oe},ki.prototype._circleAndRectCollide=function(D,J,O,K,de,ne,we){var Oe=(ne-K)/2,ht=Math.abs(D-(K+Oe));if(ht>Oe+O)return!1;var Yt=(we-de)/2,cr=Math.abs(J-(de+Yt));if(cr>Yt+O)return!1;if(ht<=Oe||cr<=Yt)return!0;var Nt=ht-Oe,Ne=cr-Yt;return Nt*Nt+Ne*Ne<=O*O};function _n(Y,D,J,O,K){var de=i.create();return D?(i.scale(de,de,[1/K,1/K,1]),J||i.rotateZ(de,de,O.angle)):i.multiply(de,O.labelPlaneMatrix,Y),de}function ya(Y,D,J,O,K){if(D){var de=i.clone(Y);return i.scale(de,de,[K,K,1]),J||i.rotateZ(de,de,-O.angle),de}else return O.glCoordMatrix}function ea(Y,D){var J=[Y.x,Y.y,0,1];Fl(J,J,D);var O=J[3];return{point:new i.Point(J[0]/O,J[1]/O),signedDistanceFromCamera:O}}function Ma(Y,D){return .5+.5*(Y/D)}function _o(Y,D){var J=Y[0]/Y[3],O=Y[1]/Y[3],K=J>=-D[0]&&J<=D[0]&&O>=-D[1]&&O<=D[1];return K}function No(Y,D,J,O,K,de,ne,we){var Oe=O?Y.textSizeData:Y.iconSizeData,ht=i.evaluateSizeForZoom(Oe,J.transform.zoom),Yt=[256/J.width*2+1,256/J.height*2+1],cr=O?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;cr.clear();for(var Nt=Y.lineVertexArray,Ne=O?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,$e=J.transform.width/J.transform.height,st=!1,It=0;It<Ne.length;It++){var Bt=Ne.get(It);if(Bt.hidden||Bt.writingMode===i.WritingMode.vertical&&!st){ul(Bt.numGlyphs,cr);continue}st=!1;var Ft=[Bt.anchorX,Bt.anchorY,0,1];if(i.transformMat4(Ft,Ft,D),!_o(Ft,Yt)){ul(Bt.numGlyphs,cr);continue}var Ut=Ft[3],zt=Ma(J.transform.cameraToCenterDistance,Ut),_t=i.evaluateSizeForFeature(Oe,ht,Bt),Dt=ne?_t/zt:_t*zt,vt=new i.Point(Bt.anchorX,Bt.anchorY),lr=ea(vt,K).point,_r={},Br=ko(Bt,Dt,!1,we,D,K,de,Y.glyphOffsetArray,Nt,cr,lr,vt,_r,$e);st=Br.useVertical,(Br.notEnoughRoom||st||Br.needsFlipping&&ko(Bt,Dt,!0,we,D,K,de,Y.glyphOffsetArray,Nt,cr,lr,vt,_r,$e).notEnoughRoom)&&ul(Bt.numGlyphs,cr)}O?Y.text.dynamicLayoutVertexBuffer.updateData(cr):Y.icon.dynamicLayoutVertexBuffer.updateData(cr)}function po(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=we.glyphStartIndex+we.numGlyphs,Nt=we.lineStartIndex,Ne=we.lineStartIndex+we.lineLength,$e=D.getoffsetX(we.glyphStartIndex),st=D.getoffsetX(cr-1),It=Fs(Y*$e,J,O,K,de,ne,we.segment,Nt,Ne,Oe,ht,Yt);if(!It)return null;var Bt=Fs(Y*st,J,O,K,de,ne,we.segment,Nt,Ne,Oe,ht,Yt);return Bt?{first:It,last:Bt}:null}function Lo(Y,D,J,O){if(Y===i.WritingMode.horizontal){var K=Math.abs(J.y-D.y),de=Math.abs(J.x-D.x)*O;if(K>de)return{useVertical:!0}}return(Y===i.WritingMode.vertical?D.y<J.y:D.x>J.x)?{needsFlipping:!0}:null}function ko(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne){var $e=D/24,st=Y.lineOffsetX*$e,It=Y.lineOffsetY*$e,Bt;if(Y.numGlyphs>1){var Ft=Y.glyphStartIndex+Y.numGlyphs,Ut=Y.lineStartIndex,zt=Y.lineStartIndex+Y.lineLength,_t=po($e,we,st,It,J,Yt,cr,Y,Oe,de,Nt);if(!_t)return{notEnoughRoom:!0};var Dt=ea(_t.first.point,ne).point,vt=ea(_t.last.point,ne).point;if(O&&!J){var lr=Lo(Y.writingMode,Dt,vt,Ne);if(lr)return lr}Bt=[_t.first];for(var _r=Y.glyphStartIndex+1;_r<Ft-1;_r++)Bt.push(Fs($e*we.getoffsetX(_r),st,It,J,Yt,cr,Y.segment,Ut,zt,Oe,de,Nt));Bt.push(_t.last)}else{if(O&&!J){var Br=ea(cr,K).point,Di=Y.lineStartIndex+Y.segment+1,ci=new i.Point(Oe.getx(Di),Oe.gety(Di)),bi=ea(ci,K),gn=bi.signedDistanceFromCamera>0?bi.point:Ds(cr,ci,Br,1,K),tn=Lo(Y.writingMode,Br,gn,Ne);if(tn)return tn}var Ei=Fs($e*we.getoffsetX(Y.glyphStartIndex),st,It,J,Yt,cr,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,Oe,de,Nt);if(!Ei)return{notEnoughRoom:!0};Bt=[Ei]}for(var Oi=0,Gi=Bt;Oi<Gi.length;Oi+=1){var on=Gi[Oi];i.addDynamicAttributes(ht,on.point,on.angle)}return{}}function Ds(Y,D,J,O,K){var de=ea(Y.add(Y.sub(D)._unit()),K).point,ne=J.sub(de);return J.add(ne._mult(O/ne.mag()))}function Fs(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr){var Nt=O?Y-D:Y+D,Ne=Nt>0?1:-1,$e=0;O&&(Ne*=-1,$e=Math.PI),Ne<0&&($e+=Math.PI);for(var st=Ne>0?we+ne:we+ne+1,It=K,Bt=K,Ft=0,Ut=0,zt=Math.abs(Nt),_t=[];Ft+Ut<=zt;){if(st+=Ne,st<we||st>=Oe)return null;if(Bt=It,_t.push(It),It=cr[st],It===void 0){var Dt=new i.Point(ht.getx(st),ht.gety(st)),vt=ea(Dt,Yt);if(vt.signedDistanceFromCamera>0)It=cr[st]=vt.point;else{var lr=st-Ne,_r=Ft===0?de:new i.Point(ht.getx(lr),ht.gety(lr));It=Ds(_r,Dt,Bt,zt-Ft+1,Yt)}}Ft+=Ut,Ut=Bt.dist(It)}var Br=(zt-Ft)/Ut,Di=It.sub(Bt),ci=Di.mult(Br)._add(Bt);ci._add(Di._unit()._perp()._mult(J*Ne));var bi=$e+Math.atan2(It.y-Bt.y,It.x-Bt.x);return _t.push(ci),{point:ci,angle:bi,path:_t}}var ll=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ul(Y,D){for(var J=0;J<Y;J++){var O=D.length;D.resize(O+4),D.float32.set(ll,O*3)}}function Fl(Y,D,J){var O=D[0],K=D[1];return Y[0]=J[0]*O+J[4]*K+J[12],Y[1]=J[1]*O+J[5]*K+J[13],Y[3]=J[3]*O+J[7]*K+J[15],Y}var us=100,rl=function(D,J,O){J===void 0&&(J=new ki(D.width+2*us,D.height+2*us,25)),O===void 0&&(O=new ki(D.width+2*us,D.height+2*us,25)),this.transform=D,this.grid=J,this.ignoredGrid=O,this.pitchfactor=Math.cos(D._pitch)*D.cameraToCenterDistance,this.screenRightBoundary=D.width+us,this.screenBottomBoundary=D.height+us,this.gridRightBoundary=D.width+2*us,this.gridBottomBoundary=D.height+2*us};rl.prototype.placeCollisionBox=function(D,J,O,K,de){var ne=this.projectAndGetPerspectiveRatio(K,D.anchorPointX,D.anchorPointY),we=O*ne.perspectiveRatio,Oe=D.x1*we+ne.point.x,ht=D.y1*we+ne.point.y,Yt=D.x2*we+ne.point.x,cr=D.y2*we+ne.point.y;return!this.isInsideGrid(Oe,ht,Yt,cr)||!J&&this.grid.hitTest(Oe,ht,Yt,cr,de)?{box:[],offscreen:!1}:{box:[Oe,ht,Yt,cr],offscreen:this.isOffscreen(Oe,ht,Yt,cr)}},rl.prototype.placeCollisionCircles=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne){var $e=[],st=new i.Point(J.anchorX,J.anchorY),It=ea(st,ne),Bt=Ma(this.transform.cameraToCenterDistance,It.signedDistanceFromCamera),Ft=Yt?de/Bt:de*Bt,Ut=Ft/i.ONE_EM,zt=ea(st,we).point,_t={},Dt=J.lineOffsetX*Ut,vt=J.lineOffsetY*Ut,lr=po(Ut,K,Dt,vt,!1,zt,st,J,O,we,_t),_r=!1,Br=!1,Di=!0;if(lr){for(var ci=Nt*.5*Bt+Ne,bi=new i.Point(-us,-us),gn=new i.Point(this.screenRightBoundary,this.screenBottomBoundary),tn=new En,Ei=lr.first,Oi=lr.last,Gi=[],on=Ei.path.length-1;on>=1;on--)Gi.push(Ei.path[on]);for(var zn=1;zn<Oi.path.length;zn++)Gi.push(Oi.path[zn]);var Ja=ci*2.5;if(Oe){var co=Gi.map(function(Iv){return ea(Iv,Oe)});co.some(function(Iv){return Iv.signedDistanceFromCamera<=0})?Gi=[]:Gi=co.map(function(Iv){return Iv.point})}var ts=[];if(Gi.length>0){for(var so=Gi[0].clone(),Yo=Gi[0].clone(),ms=1;ms<Gi.length;ms++)so.x=Math.min(so.x,Gi[ms].x),so.y=Math.min(so.y,Gi[ms].y),Yo.x=Math.max(Yo.x,Gi[ms].x),Yo.y=Math.max(Yo.y,Gi[ms].y);so.x>=bi.x&&Yo.x<=gn.x&&so.y>=bi.y&&Yo.y<=gn.y?ts=[Gi]:Yo.x<bi.x||so.x>gn.x||Yo.y<bi.y||so.y>gn.y?ts=[]:ts=i.clipLine([Gi],bi.x,bi.y,gn.x,gn.y)}for(var ou=0,Cv=ts;ou<Cv.length;ou+=1){var Lv=Cv[ou];tn.reset(Lv,ci*.25);var wd=0;tn.length<=.5*ci?wd=1:wd=Math.ceil(tn.paddedLength/Ja)+1;for(var Kv=0;Kv<wd;Kv++){var hg=Kv/Math.max(wd-1,1),gp=tn.lerp(hg),Td=gp.x+us,mp=gp.y+us;$e.push(Td,mp,ci,0);var Vd=Td-ci,Ad=mp-ci,Pv=Td+ci,Jv=mp+ci;if(Di=Di&&this.isOffscreen(Vd,Ad,Pv,Jv),Br=Br||this.isInsideGrid(Vd,Ad,Pv,Jv),!D&&this.grid.hitTestCircle(Td,mp,ci,cr)&&(_r=!0,!ht))return{circles:[],offscreen:!1,collisionDetected:_r}}}}return{circles:!ht&&_r||!Br?[]:$e,offscreen:Di,collisionDetected:_r}},rl.prototype.queryRenderedSymbols=function(D){if(D.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};for(var J=[],O=1/0,K=1/0,de=-1/0,ne=-1/0,we=0,Oe=D;we<Oe.length;we+=1){var ht=Oe[we],Yt=new i.Point(ht.x+us,ht.y+us);O=Math.min(O,Yt.x),K=Math.min(K,Yt.y),de=Math.max(de,Yt.x),ne=Math.max(ne,Yt.y),J.push(Yt)}for(var cr=this.grid.query(O,K,de,ne).concat(this.ignoredGrid.query(O,K,de,ne)),Nt={},Ne={},$e=0,st=cr;$e<st.length;$e+=1){var It=st[$e],Bt=It.key;if(Nt[Bt.bucketInstanceId]===void 0&&(Nt[Bt.bucketInstanceId]={}),!Nt[Bt.bucketInstanceId][Bt.featureIndex]){var Ft=[new i.Point(It.x1,It.y1),new i.Point(It.x2,It.y1),new i.Point(It.x2,It.y2),new i.Point(It.x1,It.y2)];i.polygonIntersectsPolygon(J,Ft)&&(Nt[Bt.bucketInstanceId][Bt.featureIndex]=!0,Ne[Bt.bucketInstanceId]===void 0&&(Ne[Bt.bucketInstanceId]=[]),Ne[Bt.bucketInstanceId].push(Bt.featureIndex))}}return Ne},rl.prototype.insertCollisionBox=function(D,J,O,K,de){var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:O,featureIndex:K,collisionGroupID:de};ne.insert(we,D[0],D[1],D[2],D[3])},rl.prototype.insertCollisionCircles=function(D,J,O,K,de){for(var ne=J?this.ignoredGrid:this.grid,we={bucketInstanceId:O,featureIndex:K,collisionGroupID:de},Oe=0;Oe<D.length;Oe+=4)ne.insertCircle(we,D[Oe],D[Oe+1],D[Oe+2])},rl.prototype.projectAndGetPerspectiveRatio=function(D,J,O){var K=[J,O,0,1];Fl(K,K,D);var de=new i.Point((K[0]/K[3]+1)/2*this.transform.width+us,(-K[1]/K[3]+1)/2*this.transform.height+us);return{point:de,perspectiveRatio:.5+.5*(this.transform.cameraToCenterDistance/K[3])}},rl.prototype.isOffscreen=function(D,J,O,K){return O<us||D>=this.screenRightBoundary||K<us||J>this.screenBottomBoundary},rl.prototype.isInsideGrid=function(D,J,O,K){return O>=0&&D<this.gridRightBoundary&&K>=0&&J<this.gridBottomBoundary},rl.prototype.getViewportMatrix=function(){var D=i.identity([]);return i.translate(D,D,[-us,-us,0]),D};function As(Y,D,J){return D*(i.EXTENT/(Y.tileSize*Math.pow(2,J-Y.tileID.overscaledZ)))}var cl=function(D,J,O,K){D?this.opacity=Math.max(0,Math.min(1,D.opacity+(D.placed?J:-J))):this.opacity=K&&O?1:0,this.placed=O};cl.prototype.isHidden=function(){return this.opacity===0&&!this.placed};var Ks=function(D,J,O,K,de){this.text=new cl(D?D.text:null,J,O,de),this.icon=new cl(D?D.icon:null,J,K,de)};Ks.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var zs=function(D,J,O){this.text=D,this.icon=J,this.skipFade=O},Io=function(){this.invProjMatrix=i.create(),this.viewportMatrix=i.create(),this.circles=[]},ls=function(D,J,O,K,de){this.bucketInstanceId=D,this.featureIndex=J,this.sourceLayerIndex=O,this.bucketIndex=K,this.tileID=de},Yl=function(D){this.crossSourceCollisions=D,this.maxGroupID=0,this.collisionGroups={}};Yl.prototype.get=function(D){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[D]){var J=++this.maxGroupID;this.collisionGroups[D]={ID:J,predicate:function(O){return O.collisionGroupID===J}}}return this.collisionGroups[D]};function Su(Y,D,J,O,K){var de=i.getAnchorAlignment(Y),ne=de.horizontalAlign,we=de.verticalAlign,Oe=-(ne-.5)*D,ht=-(we-.5)*J,Yt=i.evaluateVariableOffset(Y,O);return new i.Point(Oe+Yt[0]*K,ht+Yt[1]*K)}function nc(Y,D,J,O,K,de){var ne=Y.x1,we=Y.x2,Oe=Y.y1,ht=Y.y2,Yt=Y.anchorPointX,cr=Y.anchorPointY,Nt=new i.Point(D,J);return O&&Nt._rotate(K?de:-de),{x1:ne+Nt.x,y1:Oe+Nt.y,x2:we+Nt.x,y2:ht+Nt.y,anchorPointX:Yt,anchorPointY:cr}}var bs=function(D,J,O,K){this.transform=D.clone(),this.collisionIndex=new rl(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=J,this.retainedQueryData={},this.collisionGroups=new Yl(O),this.collisionCircleArrays={},this.prevPlacement=K,K&&(K.prevPlacement=void 0),this.placedOrientations={}};bs.prototype.getBucketParts=function(D,J,O,K){var de=O.getBucket(J),ne=O.latestFeatureIndex;if(!(!de||!ne||J.id!==de.layerIds[0])){var we=O.collisionBoxArray,Oe=de.layers[0].layout,ht=Math.pow(2,this.transform.zoom-O.tileID.overscaledZ),Yt=O.tileSize/i.EXTENT,cr=this.transform.calculatePosMatrix(O.tileID.toUnwrapped()),Nt=Oe.get(\"text-pitch-alignment\")===\"map\",Ne=Oe.get(\"text-rotation-alignment\")===\"map\",$e=As(O,1,this.transform.zoom),st=_n(cr,Nt,Ne,this.transform,$e),It=null;if(Nt){var Bt=ya(cr,Nt,Ne,this.transform,$e);It=i.multiply([],this.transform.labelPlaneMatrix,Bt)}this.retainedQueryData[de.bucketInstanceId]=new ls(de.bucketInstanceId,ne,de.sourceLayerIndex,de.index,O.tileID);var Ft={bucket:de,layout:Oe,posMatrix:cr,textLabelPlaneMatrix:st,labelToScreenMatrix:It,scale:ht,textPixelRatio:Yt,holdingForFade:O.holdingForFade(),collisionBoxArray:we,partiallyEvaluatedTextSize:i.evaluateSizeForZoom(de.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(de.sourceID)};if(K)for(var Ut=0,zt=de.sortKeyRanges;Ut<zt.length;Ut+=1){var _t=zt[Ut],Dt=_t.sortKey,vt=_t.symbolInstanceStart,lr=_t.symbolInstanceEnd;D.push({sortKey:Dt,symbolInstanceStart:vt,symbolInstanceEnd:lr,parameters:Ft})}else D.push({symbolInstanceStart:0,symbolInstanceEnd:de.symbolInstances.length,parameters:Ft})}},bs.prototype.attemptAnchorPlacement=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne,$e,st){var It=[Nt.textOffset0,Nt.textOffset1],Bt=Su(D,O,K,It,de),Ft=this.collisionIndex.placeCollisionBox(nc(J,Bt.x,Bt.y,ne,we,this.transform.angle),cr,Oe,ht,Yt.predicate);if(st){var Ut=this.collisionIndex.placeCollisionBox(nc(st,Bt.x,Bt.y,ne,we,this.transform.angle),cr,Oe,ht,Yt.predicate);if(Ut.box.length===0)return}if(Ft.box.length>0){var zt;return this.prevPlacement&&this.prevPlacement.variableOffsets[Nt.crossTileID]&&this.prevPlacement.placements[Nt.crossTileID]&&this.prevPlacement.placements[Nt.crossTileID].text&&(zt=this.prevPlacement.variableOffsets[Nt.crossTileID].anchor),this.variableOffsets[Nt.crossTileID]={textOffset:It,width:O,height:K,anchor:D,textBoxScale:de,prevAnchor:zt},this.markUsedJustification(Ne,D,Nt,$e),Ne.allowVerticalPlacement&&(this.markUsedOrientation(Ne,$e,Nt),this.placedOrientations[Nt.crossTileID]=$e),{shift:Bt,placedGlyphBoxes:Ft}}},bs.prototype.placeLayerBucketPart=function(D,J,O){var K=this,de=D.parameters,ne=de.bucket,we=de.layout,Oe=de.posMatrix,ht=de.textLabelPlaneMatrix,Yt=de.labelToScreenMatrix,cr=de.textPixelRatio,Nt=de.holdingForFade,Ne=de.collisionBoxArray,$e=de.partiallyEvaluatedTextSize,st=de.collisionGroup,It=we.get(\"text-optional\"),Bt=we.get(\"icon-optional\"),Ft=we.get(\"text-allow-overlap\"),Ut=we.get(\"icon-allow-overlap\"),zt=we.get(\"text-rotation-alignment\")===\"map\",_t=we.get(\"text-pitch-alignment\")===\"map\",Dt=we.get(\"icon-text-fit\")!==\"none\",vt=we.get(\"symbol-z-order\")===\"viewport-y\",lr=Ft&&(Ut||!ne.hasIconData()||Bt),_r=Ut&&(Ft||!ne.hasTextData()||It);!ne.collisionArrays&&Ne&&ne.deserializeCollisionBoxes(Ne);var Br=function(Ei,Oi){if(!J[Ei.crossTileID]){if(Nt){K.placements[Ei.crossTileID]=new zs(!1,!1,!1);return}var Gi=!1,on=!1,zn=!0,Ja=null,co={box:null,offscreen:null},ts={box:null,offscreen:null},so=null,Yo=null,ms=null,ou=0,Cv=0,Lv=0;Oi.textFeatureIndex?ou=Oi.textFeatureIndex:Ei.useRuntimeCollisionCircles&&(ou=Ei.featureIndex),Oi.verticalTextFeatureIndex&&(Cv=Oi.verticalTextFeatureIndex);var wd=Oi.textBox;if(wd){var Kv=function(vc){var tu=i.WritingMode.horizontal;if(ne.allowVerticalPlacement&&!vc&&K.prevPlacement){var Sd=K.prevPlacement.placedOrientations[Ei.crossTileID];Sd&&(K.placedOrientations[Ei.crossTileID]=Sd,tu=Sd,K.markUsedOrientation(ne,tu,Ei))}return tu},hg=function(vc,tu){if(ne.allowVerticalPlacement&&Ei.numVerticalGlyphVertices>0&&Oi.verticalTextBox)for(var Sd=0,gy=ne.writingModes;Sd<gy.length;Sd+=1){var P1=gy[Sd];if(P1===i.WritingMode.vertical?(co=tu(),ts=co):co=vc(),co&&co.box&&co.box.length)break}else co=vc()};if(we.get(\"text-variable-anchor\")){var Vd=we.get(\"text-variable-anchor\");if(K.prevPlacement&&K.prevPlacement.variableOffsets[Ei.crossTileID]){var Ad=K.prevPlacement.variableOffsets[Ei.crossTileID];Vd.indexOf(Ad.anchor)>0&&(Vd=Vd.filter(function(vc){return vc!==Ad.anchor}),Vd.unshift(Ad.anchor))}var Pv=function(vc,tu,Sd){for(var gy=vc.x2-vc.x1,P1=vc.y2-vc.y1,wu=Ei.textBoxScale,Kx=Dt&&!Ut?tu:null,lm={box:[],offscreen:!1},Uw=Ft?Vd.length*2:Vd.length,Rv=0;Rv<Uw;++Rv){var um=Vd[Rv%Vd.length],Vw=Rv>=Vd.length,Jx=K.attemptAnchorPlacement(um,vc,gy,P1,wu,zt,_t,cr,Oe,st,Vw,Ei,ne,Sd,Kx);if(Jx&&(lm=Jx.placedGlyphBoxes,lm&&lm.box&&lm.box.length)){Gi=!0,Ja=Jx.shift;break}}return lm},Jv=function(){return Pv(wd,Oi.iconBox,i.WritingMode.horizontal)},Iv=function(){var vc=Oi.verticalTextBox,tu=co&&co.box&&co.box.length;return ne.allowVerticalPlacement&&!tu&&Ei.numVerticalGlyphVertices>0&&vc?Pv(vc,Oi.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};hg(Jv,Iv),co&&(Gi=co.box,zn=co.offscreen);var dy=Kv(co&&co.box);if(!Gi&&K.prevPlacement){var dg=K.prevPlacement.variableOffsets[Ei.crossTileID];dg&&(K.variableOffsets[Ei.crossTileID]=dg,K.markUsedJustification(ne,dg.anchor,Ei,dy))}}else{var gp=function(vc,tu){var Sd=K.collisionIndex.placeCollisionBox(vc,Ft,cr,Oe,st.predicate);return Sd&&Sd.box&&Sd.box.length&&(K.markUsedOrientation(ne,tu,Ei),K.placedOrientations[Ei.crossTileID]=tu),Sd},Td=function(){return gp(wd,i.WritingMode.horizontal)},mp=function(){var vc=Oi.verticalTextBox;return ne.allowVerticalPlacement&&Ei.numVerticalGlyphVertices>0&&vc?gp(vc,i.WritingMode.vertical):{box:null,offscreen:null}};hg(Td,mp),Kv(co&&co.box&&co.box.length)}}if(so=co,Gi=so&&so.box&&so.box.length>0,zn=so&&so.offscreen,Ei.useRuntimeCollisionCircles){var oh=ne.text.placedSymbolArray.get(Ei.centerJustifiedTextSymbolIndex),vg=i.evaluateSizeForFeature(ne.textSizeData,$e,oh),vy=we.get(\"text-padding\"),Zh=Ei.collisionCircleDiameter;Yo=K.collisionIndex.placeCollisionCircles(Ft,oh,ne.lineVertexArray,ne.glyphOffsetArray,vg,Oe,ht,Yt,O,_t,st.predicate,Zh,vy),Gi=Ft||Yo.circles.length>0&&!Yo.collisionDetected,zn=zn&&Yo.offscreen}if(Oi.iconFeatureIndex&&(Lv=Oi.iconFeatureIndex),Oi.iconBox){var am=function(vc){var tu=Dt&&Ja?nc(vc,Ja.x,Ja.y,zt,_t,K.transform.angle):vc;return K.collisionIndex.placeCollisionBox(tu,Ut,cr,Oe,st.predicate)};ts&&ts.box&&ts.box.length&&Oi.verticalIconBox?(ms=am(Oi.verticalIconBox),on=ms.box.length>0):(ms=am(Oi.iconBox),on=ms.box.length>0),zn=zn&&ms.offscreen}var C1=It||Ei.numHorizontalGlyphVertices===0&&Ei.numVerticalGlyphVertices===0,L1=Bt||Ei.numIconVertices===0;if(!C1&&!L1?on=Gi=on&&Gi:L1?C1||(on=on&&Gi):Gi=on&&Gi,Gi&&so&&so.box&&(ts&&ts.box&&Cv?K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,Cv,st.ID):K.collisionIndex.insertCollisionBox(so.box,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,st.ID)),on&&ms&&K.collisionIndex.insertCollisionBox(ms.box,we.get(\"icon-ignore-placement\"),ne.bucketInstanceId,Lv,st.ID),Yo&&(Gi&&K.collisionIndex.insertCollisionCircles(Yo.circles,we.get(\"text-ignore-placement\"),ne.bucketInstanceId,ou,st.ID),O)){var py=ne.bucketInstanceId,om=K.collisionCircleArrays[py];om===void 0&&(om=K.collisionCircleArrays[py]=new Io);for(var sm=0;sm<Yo.circles.length;sm+=4)om.circles.push(Yo.circles[sm+0]),om.circles.push(Yo.circles[sm+1]),om.circles.push(Yo.circles[sm+2]),om.circles.push(Yo.collisionDetected?1:0)}K.placements[Ei.crossTileID]=new zs(Gi||lr,on||_r,zn||ne.justReloaded),J[Ei.crossTileID]=!0}};if(vt)for(var Di=ne.getSortedSymbolIndexes(this.transform.angle),ci=Di.length-1;ci>=0;--ci){var bi=Di[ci];Br(ne.symbolInstances.get(bi),ne.collisionArrays[bi])}else for(var gn=D.symbolInstanceStart;gn<D.symbolInstanceEnd;gn++)Br(ne.symbolInstances.get(gn),ne.collisionArrays[gn]);if(O&&ne.bucketInstanceId in this.collisionCircleArrays){var tn=this.collisionCircleArrays[ne.bucketInstanceId];i.invert(tn.invProjMatrix,Oe),tn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ne.justReloaded=!1},bs.prototype.markUsedJustification=function(D,J,O,K){var de={left:O.leftJustifiedTextSymbolIndex,center:O.centerJustifiedTextSymbolIndex,right:O.rightJustifiedTextSymbolIndex},ne;K===i.WritingMode.vertical?ne=O.verticalPlacedTextSymbolIndex:ne=de[i.getAnchorJustification(J)];for(var we=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex,O.verticalPlacedTextSymbolIndex],Oe=0,ht=we;Oe<ht.length;Oe+=1){var Yt=ht[Oe];Yt>=0&&(ne>=0&&Yt!==ne?D.text.placedSymbolArray.get(Yt).crossTileID=0:D.text.placedSymbolArray.get(Yt).crossTileID=O.crossTileID)}},bs.prototype.markUsedOrientation=function(D,J,O){for(var K=J===i.WritingMode.horizontal||J===i.WritingMode.horizontalOnly?J:0,de=J===i.WritingMode.vertical?J:0,ne=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex],we=0,Oe=ne;we<Oe.length;we+=1){var ht=Oe[we];D.text.placedSymbolArray.get(ht).placedOrientation=K}O.verticalPlacedTextSymbolIndex&&(D.text.placedSymbolArray.get(O.verticalPlacedTextSymbolIndex).placedOrientation=de)},bs.prototype.commit=function(D){this.commitTime=D,this.zoomAtLastRecencyCheck=this.transform.zoom;var J=this.prevPlacement,O=!1;this.prevZoomAdjustment=J?J.zoomAdjustment(this.transform.zoom):0;var K=J?J.symbolFadeChange(D):1,de=J?J.opacities:{},ne=J?J.variableOffsets:{},we=J?J.placedOrientations:{};for(var Oe in this.placements){var ht=this.placements[Oe],Yt=de[Oe];Yt?(this.opacities[Oe]=new Ks(Yt,K,ht.text,ht.icon),O=O||ht.text!==Yt.text.placed||ht.icon!==Yt.icon.placed):(this.opacities[Oe]=new Ks(null,K,ht.text,ht.icon,ht.skipFade),O=O||ht.text||ht.icon)}for(var cr in de){var Nt=de[cr];if(!this.opacities[cr]){var Ne=new Ks(Nt,K,!1,!1);Ne.isHidden()||(this.opacities[cr]=Ne,O=O||Nt.text.placed||Nt.icon.placed)}}for(var $e in ne)!this.variableOffsets[$e]&&this.opacities[$e]&&!this.opacities[$e].isHidden()&&(this.variableOffsets[$e]=ne[$e]);for(var st in we)!this.placedOrientations[st]&&this.opacities[st]&&!this.opacities[st].isHidden()&&(this.placedOrientations[st]=we[st]);O?this.lastPlacementChangeTime=D:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=J?J.lastPlacementChangeTime:D)},bs.prototype.updateLayerOpacities=function(D,J){for(var O={},K=0,de=J;K<de.length;K+=1){var ne=de[K],we=ne.getBucket(D);we&&ne.latestFeatureIndex&&D.id===we.layerIds[0]&&this.updateBucketOpacities(we,O,ne.collisionBoxArray)}},bs.prototype.updateBucketOpacities=function(D,J,O){var K=this;D.hasTextData()&&D.text.opacityVertexArray.clear(),D.hasIconData()&&D.icon.opacityVertexArray.clear(),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexArray.clear(),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexArray.clear();var de=D.layers[0].layout,ne=new Ks(null,0,!1,!1,!0),we=de.get(\"text-allow-overlap\"),Oe=de.get(\"icon-allow-overlap\"),ht=de.get(\"text-variable-anchor\"),Yt=de.get(\"text-rotation-alignment\")===\"map\",cr=de.get(\"text-pitch-alignment\")===\"map\",Nt=de.get(\"icon-text-fit\")!==\"none\",Ne=new Ks(null,0,we&&(Oe||!D.hasIconData()||de.get(\"icon-optional\")),Oe&&(we||!D.hasTextData()||de.get(\"text-optional\")),!0);!D.collisionArrays&&O&&(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData())&&D.deserializeCollisionBoxes(O);for(var $e=function(Ft,Ut,zt){for(var _t=0;_t<Ut/4;_t++)Ft.opacityVertexArray.emplaceBack(zt)},st=function(Ft){var Ut=D.symbolInstances.get(Ft),zt=Ut.numHorizontalGlyphVertices,_t=Ut.numVerticalGlyphVertices,Dt=Ut.crossTileID,vt=J[Dt],lr=K.opacities[Dt];vt?lr=ne:lr||(lr=Ne,K.opacities[Dt]=lr),J[Dt]=!0;var _r=zt>0||_t>0,Br=Ut.numIconVertices>0,Di=K.placedOrientations[Ut.crossTileID],ci=Di===i.WritingMode.vertical,bi=Di===i.WritingMode.horizontal||Di===i.WritingMode.horizontalOnly;if(_r){var gn=ac(lr.text),tn=ci?oa:gn;$e(D.text,zt,tn);var Ei=bi?oa:gn;$e(D.text,_t,Ei);var Oi=lr.text.isHidden();[Ut.rightJustifiedTextSymbolIndex,Ut.centerJustifiedTextSymbolIndex,Ut.leftJustifiedTextSymbolIndex].forEach(function(Lv){Lv>=0&&(D.text.placedSymbolArray.get(Lv).hidden=Oi||ci?1:0)}),Ut.verticalPlacedTextSymbolIndex>=0&&(D.text.placedSymbolArray.get(Ut.verticalPlacedTextSymbolIndex).hidden=Oi||bi?1:0);var Gi=K.variableOffsets[Ut.crossTileID];Gi&&K.markUsedJustification(D,Gi.anchor,Ut,Di);var on=K.placedOrientations[Ut.crossTileID];on&&(K.markUsedJustification(D,\"left\",Ut,on),K.markUsedOrientation(D,on,Ut))}if(Br){var zn=ac(lr.icon),Ja=!(Nt&&Ut.verticalPlacedIconSymbolIndex&&ci);if(Ut.placedIconSymbolIndex>=0){var co=Ja?zn:oa;$e(D.icon,Ut.numIconVertices,co),D.icon.placedSymbolArray.get(Ut.placedIconSymbolIndex).hidden=lr.icon.isHidden()}if(Ut.verticalPlacedIconSymbolIndex>=0){var ts=Ja?oa:zn;$e(D.icon,Ut.numVerticalIconVertices,ts),D.icon.placedSymbolArray.get(Ut.verticalPlacedIconSymbolIndex).hidden=lr.icon.isHidden()}}if(D.hasIconCollisionBoxData()||D.hasTextCollisionBoxData()){var so=D.collisionArrays[Ft];if(so){var Yo=new i.Point(0,0);if(so.textBox||so.verticalTextBox){var ms=!0;if(ht){var ou=K.variableOffsets[Dt];ou?(Yo=Su(ou.anchor,ou.width,ou.height,ou.textOffset,ou.textBoxScale),Yt&&Yo._rotate(cr?K.transform.angle:-K.transform.angle)):ms=!1}so.textBox&&Rn(D.textCollisionBox.collisionVertexArray,lr.text.placed,!ms||ci,Yo.x,Yo.y),so.verticalTextBox&&Rn(D.textCollisionBox.collisionVertexArray,lr.text.placed,!ms||bi,Yo.x,Yo.y)}var Cv=!!(!bi&&so.verticalIconBox);so.iconBox&&Rn(D.iconCollisionBox.collisionVertexArray,lr.icon.placed,Cv,Nt?Yo.x:0,Nt?Yo.y:0),so.verticalIconBox&&Rn(D.iconCollisionBox.collisionVertexArray,lr.icon.placed,!Cv,Nt?Yo.x:0,Nt?Yo.y:0)}}},It=0;It<D.symbolInstances.length;It++)st(It);if(D.sortFeatures(this.transform.angle),this.retainedQueryData[D.bucketInstanceId]&&(this.retainedQueryData[D.bucketInstanceId].featureSortOrder=D.featureSortOrder),D.hasTextData()&&D.text.opacityVertexBuffer&&D.text.opacityVertexBuffer.updateData(D.text.opacityVertexArray),D.hasIconData()&&D.icon.opacityVertexBuffer&&D.icon.opacityVertexBuffer.updateData(D.icon.opacityVertexArray),D.hasIconCollisionBoxData()&&D.iconCollisionBox.collisionVertexBuffer&&D.iconCollisionBox.collisionVertexBuffer.updateData(D.iconCollisionBox.collisionVertexArray),D.hasTextCollisionBoxData()&&D.textCollisionBox.collisionVertexBuffer&&D.textCollisionBox.collisionVertexBuffer.updateData(D.textCollisionBox.collisionVertexArray),D.bucketInstanceId in this.collisionCircleArrays){var Bt=this.collisionCircleArrays[D.bucketInstanceId];D.placementInvProjMatrix=Bt.invProjMatrix,D.placementViewportMatrix=Bt.viewportMatrix,D.collisionCircleArray=Bt.circles,delete this.collisionCircleArrays[D.bucketInstanceId]}},bs.prototype.symbolFadeChange=function(D){return this.fadeDuration===0?1:(D-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},bs.prototype.zoomAdjustment=function(D){return Math.max(0,(this.transform.zoom-D)/1.5)},bs.prototype.hasTransitions=function(D){return this.stale||D-this.lastPlacementChangeTime<this.fadeDuration},bs.prototype.stillRecent=function(D,J){var O=this.zoomAtLastRecencyCheck===J?1-this.zoomAdjustment(J):1;return this.zoomAtLastRecencyCheck=J,this.commitTime+this.fadeDuration*O>D},bs.prototype.setStale=function(){this.stale=!0};function Rn(Y,D,J,O,K){Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0),Y.emplaceBack(D?1:0,J?1:0,O||0,K||0)}var _a=Math.pow(2,25),Vu=Math.pow(2,24),zl=Math.pow(2,17),xo=Math.pow(2,16),Kl=Math.pow(2,9),Ns=Math.pow(2,8),Hl=Math.pow(2,1);function ac(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var D=Y.placed?1:0,J=Math.floor(Y.opacity*127);return J*_a+D*Vu+J*zl+D*xo+J*Kl+D*Ns+J*Hl+D}var oa=0,qo=function(D){this._sortAcrossTiles=D.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&D.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};qo.prototype.continuePlacement=function(D,J,O,K,de){for(var ne=this._bucketParts;this._currentTileIndex<D.length;){var we=D[this._currentTileIndex];if(J.getBucketParts(ne,K,we,this._sortAcrossTiles),this._currentTileIndex++,de())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,ne.sort(function(ht,Yt){return ht.sortKey-Yt.sortKey}));this._currentPartIndex<ne.length;){var Oe=ne[this._currentPartIndex];if(J.placeLayerBucketPart(Oe,this._seenCrossTileIDs,O),this._currentPartIndex++,de())return!0}return!1};var Oo=function(D,J,O,K,de,ne,we){this.placement=new bs(D,de,ne,we),this._currentPlacementIndex=J.length-1,this._forceFullPlacement=O,this._showCollisionBoxes=K,this._done=!1};Oo.prototype.isDone=function(){return this._done},Oo.prototype.continuePlacement=function(D,J,O){for(var K=this,de=i.browser.now(),ne=function(){var cr=i.browser.now()-de;return K._forceFullPlacement?!1:cr>2};this._currentPlacementIndex>=0;){var we=D[this._currentPlacementIndex],Oe=J[we],ht=this.placement.collisionIndex.transform.zoom;if(Oe.type===\"symbol\"&&(!Oe.minzoom||Oe.minzoom<=ht)&&(!Oe.maxzoom||Oe.maxzoom>ht)){this._inProgressLayer||(this._inProgressLayer=new qo(Oe));var Yt=this._inProgressLayer.continuePlacement(O[Oe.source],this.placement,this._showCollisionBoxes,Oe,ne);if(Yt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Oo.prototype.commit=function(D){return this.placement.commit(D),this.placement};var ql=512/i.EXTENT/2,Pc=function(D,J,O){this.tileID=D,this.indexedSymbolInstances={},this.bucketInstanceId=O;for(var K=0;K<J.length;K++){var de=J.get(K),ne=de.key;this.indexedSymbolInstances[ne]||(this.indexedSymbolInstances[ne]=[]),this.indexedSymbolInstances[ne].push({crossTileID:de.crossTileID,coord:this.getScaledCoordinates(de,D)})}};Pc.prototype.getScaledCoordinates=function(D,J){var O=J.canonical.z-this.tileID.canonical.z,K=ql/Math.pow(2,O);return{x:Math.floor((J.canonical.x*i.EXTENT+D.anchorX)*K),y:Math.floor((J.canonical.y*i.EXTENT+D.anchorY)*K)}},Pc.prototype.findMatches=function(D,J,O){for(var K=this.tileID.canonical.z<J.canonical.z?1:Math.pow(2,this.tileID.canonical.z-J.canonical.z),de=0;de<D.length;de++){var ne=D.get(de);if(!ne.crossTileID){var we=this.indexedSymbolInstances[ne.key];if(we)for(var Oe=this.getScaledCoordinates(ne,J),ht=0,Yt=we;ht<Yt.length;ht+=1){var cr=Yt[ht];if(Math.abs(cr.coord.x-Oe.x)<=K&&Math.abs(cr.coord.y-Oe.y)<=K&&!O[cr.crossTileID]){O[cr.crossTileID]=!0,ne.crossTileID=cr.crossTileID;break}}}}};var Do=function(){this.maxCrossTileID=0};Do.prototype.generate=function(){return++this.maxCrossTileID};var nf=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};nf.prototype.handleWrapJump=function(D){var J=Math.round((D-this.lng)/360);if(J!==0)for(var O in this.indexes){var K=this.indexes[O],de={};for(var ne in K){var we=K[ne];we.tileID=we.tileID.unwrapTo(we.tileID.wrap+J),de[we.tileID.key]=we}this.indexes[O]=de}this.lng=D},nf.prototype.addBucket=function(D,J,O){if(this.indexes[D.overscaledZ]&&this.indexes[D.overscaledZ][D.key]){if(this.indexes[D.overscaledZ][D.key].bucketInstanceId===J.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(D.overscaledZ,this.indexes[D.overscaledZ][D.key])}for(var K=0;K<J.symbolInstances.length;K++){var de=J.symbolInstances.get(K);de.crossTileID=0}this.usedCrossTileIDs[D.overscaledZ]||(this.usedCrossTileIDs[D.overscaledZ]={});var ne=this.usedCrossTileIDs[D.overscaledZ];for(var we in this.indexes){var Oe=this.indexes[we];if(Number(we)>D.overscaledZ)for(var ht in Oe){var Yt=Oe[ht];Yt.tileID.isChildOf(D)&&Yt.findMatches(J.symbolInstances,D,ne)}else{var cr=D.scaledTo(Number(we)),Nt=Oe[cr.key];Nt&&Nt.findMatches(J.symbolInstances,D,ne)}}for(var Ne=0;Ne<J.symbolInstances.length;Ne++){var $e=J.symbolInstances.get(Ne);$e.crossTileID||($e.crossTileID=O.generate(),ne[$e.crossTileID]=!0)}return this.indexes[D.overscaledZ]===void 0&&(this.indexes[D.overscaledZ]={}),this.indexes[D.overscaledZ][D.key]=new Pc(D,J.symbolInstances,J.bucketInstanceId),!0},nf.prototype.removeBucketCrossTileIDs=function(D,J){for(var O in J.indexedSymbolInstances)for(var K=0,de=J.indexedSymbolInstances[O];K<de.length;K+=1){var ne=de[K];delete this.usedCrossTileIDs[D][ne.crossTileID]}},nf.prototype.removeStaleBuckets=function(D){var J=!1;for(var O in this.indexes){var K=this.indexes[O];for(var de in K)D[K[de].bucketInstanceId]||(this.removeBucketCrossTileIDs(O,K[de]),delete K[de],J=!0)}return J};var Vf=function(){this.layerIndexes={},this.crossTileIDs=new Do,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Vf.prototype.addLayer=function(D,J,O){var K=this.layerIndexes[D.id];K===void 0&&(K=this.layerIndexes[D.id]=new nf);var de=!1,ne={};K.handleWrapJump(O);for(var we=0,Oe=J;we<Oe.length;we+=1){var ht=Oe[we],Yt=ht.getBucket(D);!Yt||D.id!==Yt.layerIds[0]||(Yt.bucketInstanceId||(Yt.bucketInstanceId=++this.maxBucketInstanceId),K.addBucket(ht.tileID,Yt,this.crossTileIDs)&&(de=!0),ne[Yt.bucketInstanceId]=!0)}return K.removeStaleBuckets(ne)&&(de=!0),de},Vf.prototype.pruneUnusedLayers=function(D){var J={};D.forEach(function(K){J[K]=!0});for(var O in this.layerIndexes)J[O]||delete this.layerIndexes[O]};var pl=function(Y,D){return i.emitValidationErrors(Y,D&&D.filter(function(J){return J.identifier!==\"source.canvas\"}))},Zc=i.pick(da,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Jl=i.pick(da,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),qs=Xo(),yu=(function(Y){function D(J,O){var K=this;O===void 0&&(O={}),Y.call(this),this.map=J,this.dispatcher=new Z(Ba(),this),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new P(J._requestManager,O.localIdeographFontFamily),this.lineAtlas=new G(256,512),this.crossTileSymbolIndex=new Vf,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new i.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",i.getReferrer());var de=this;this._rtlTextPluginCallback=D.registerForPluginStateChange(function(ne){var we={pluginStatus:ne.pluginStatus,pluginURL:ne.pluginURL};de.dispatcher.broadcast(\"syncRTLPluginState\",we,function(Oe,ht){if(i.triggerPluginCompletionEvent(Oe),ht){var Yt=ht.every(function(Nt){return Nt});if(Yt)for(var cr in de.sourceCaches)de.sourceCaches[cr].reload()}})}),this.on(\"data\",function(ne){if(!(ne.dataType!==\"source\"||ne.sourceDataType!==\"metadata\")){var we=K.sourceCaches[ne.sourceId];if(we){var Oe=we.getSource();if(!(!Oe||!Oe.vectorLayerIds))for(var ht in K._layers){var Yt=K._layers[ht];Yt.source===Oe.id&&K._validateLayer(Yt)}}}})}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.loadURL=function(O,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"}));var ne=typeof K.validate==\"boolean\"?K.validate:!i.isMapboxURL(O);O=this.map._requestManager.normalizeStyleURL(O,K.accessToken);var we=this.map._requestManager.transformRequest(O,i.ResourceType.Style);this._request=i.getJSON(we,function(Oe,ht){de._request=null,Oe?de.fire(new i.ErrorEvent(Oe)):ht&&de._load(ht,ne)})},D.prototype.loadJSON=function(O,K){var de=this;K===void 0&&(K={}),this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._request=i.browser.frame(function(){de._request=null,de._load(O,K.validate!==!1)})},D.prototype.loadEmpty=function(){this.fire(new i.Event(\"dataloading\",{dataType:\"style\"})),this._load(qs,!1)},D.prototype._load=function(O,K){if(!(K&&pl(this,i.validateStyle(O)))){this._loaded=!0,this.stylesheet=O;for(var de in O.sources)this.addSource(de,O.sources[de],{validate:!1});O.sprite?this._loadSprite(O.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(O.glyphs);var ne=za(this.stylesheet.layers);this._order=ne.map(function(Yt){return Yt.id}),this._layers={},this._serializedLayers={};for(var we=0,Oe=ne;we<Oe.length;we+=1){var ht=Oe[we];ht=i.createStyleLayer(ht),ht.setEventedParent(this,{layer:{id:ht.id}}),this._layers[ht.id]=ht,this._serializedLayers[ht.id]=ht.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new V(this.stylesheet.light),this.fire(new i.Event(\"data\",{dataType:\"style\"})),this.fire(new i.Event(\"style.load\"))}},D.prototype._loadSprite=function(O){var K=this;this._spriteRequest=m(O,this.map._requestManager,function(de,ne){if(K._spriteRequest=null,de)K.fire(new i.ErrorEvent(de));else if(ne)for(var we in ne)K.imageManager.addImage(we,ne[we]);K.imageManager.setLoaded(!0),K._availableImages=K.imageManager.listImages(),K.dispatcher.broadcast(\"setImages\",K._availableImages),K.fire(new i.Event(\"data\",{dataType:\"style\"}))})},D.prototype._validateLayer=function(O){var K=this.sourceCaches[O.source];if(K){var de=O.sourceLayer;if(de){var ne=K.getSource();(ne.type===\"geojson\"||ne.vectorLayerIds&&ne.vectorLayerIds.indexOf(de)===-1)&&this.fire(new i.ErrorEvent(new Error('Source layer \"'+de+'\" does not exist on source \"'+ne.id+'\" as specified by style layer \"'+O.id+'\"')))}}},D.prototype.loaded=function(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(var O in this.sourceCaches)if(!this.sourceCaches[O].loaded())return!1;return!!this.imageManager.isLoaded()},D.prototype._serializeLayers=function(O){for(var K=[],de=0,ne=O;de<ne.length;de+=1){var we=ne[de],Oe=this._layers[we];Oe.type!==\"custom\"&&K.push(Oe.serialize())}return K},D.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var O in this.sourceCaches)if(this.sourceCaches[O].hasTransition())return!0;for(var K in this._layers)if(this._layers[K].hasTransition())return!0;return!1},D.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},D.prototype.update=function(O){if(this._loaded){var K=this._changed;if(this._changed){var de=Object.keys(this._updatedLayers),ne=Object.keys(this._removedLayers);(de.length||ne.length)&&this._updateWorkerLayers(de,ne);for(var we in this._updatedSources){var Oe=this._updatedSources[we];Oe===\"reload\"?this._reloadSource(we):Oe===\"clear\"&&this._clearSource(we)}this._updateTilesForChangedImages();for(var ht in this._updatedPaintProps)this._layers[ht].updateTransitions(O);this.light.updateTransitions(O),this._resetUpdates()}var Yt={};for(var cr in this.sourceCaches){var Nt=this.sourceCaches[cr];Yt[cr]=Nt.used,Nt.used=!1}for(var Ne=0,$e=this._order;Ne<$e.length;Ne+=1){var st=$e[Ne],It=this._layers[st];It.recalculate(O,this._availableImages),!It.isHidden(O.zoom)&&It.source&&(this.sourceCaches[It.source].used=!0)}for(var Bt in Yt){var Ft=this.sourceCaches[Bt];Yt[Bt]!==Ft.used&&Ft.fire(new i.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:Bt}))}this.light.recalculate(O),this.z=O.zoom,K&&this.fire(new i.Event(\"data\",{dataType:\"style\"}))}},D.prototype._updateTilesForChangedImages=function(){var O=Object.keys(this._changedImages);if(O.length){for(var K in this.sourceCaches)this.sourceCaches[K].reloadTilesForDependencies([\"icons\",\"patterns\"],O);this._changedImages={}}},D.prototype._updateWorkerLayers=function(O,K){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(O),removedIds:K})},D.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},D.prototype.setState=function(O){var K=this;if(this._checkLoaded(),pl(this,i.validateStyle(O)))return!1;O=i.clone$1(O),O.layers=za(O.layers);var de=Sn(this.serialize(),O).filter(function(we){return!(we.command in Jl)});if(de.length===0)return!1;var ne=de.filter(function(we){return!(we.command in Zc)});if(ne.length>0)throw new Error(\"Unimplemented: \"+ne.map(function(we){return we.command}).join(\", \")+\".\");return de.forEach(function(we){we.command!==\"setTransition\"&&K[we.command].apply(K,we.args)}),this.stylesheet=O,!0},D.prototype.addImage=function(O,K){if(this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(O,K),this._afterImageUpdated(O)},D.prototype.updateImage=function(O,K){this.imageManager.updateImage(O,K)},D.prototype.getImage=function(O){return this.imageManager.getImage(O)},D.prototype.removeImage=function(O){if(!this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(O),this._afterImageUpdated(O)},D.prototype._afterImageUpdated=function(O){this._availableImages=this.imageManager.listImages(),this._changedImages[O]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},D.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},D.prototype.addSource=function(O,K,de){var ne=this;if(de===void 0&&(de={}),this._checkLoaded(),this.sourceCaches[O]!==void 0)throw new Error(\"There is already a source with this ID\");if(!K.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(K).join(\", \")+\".\");var we=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],Oe=we.indexOf(K.type)>=0;if(!(Oe&&this._validate(i.validateStyle.source,\"sources.\"+O,K,null,de))){this.map&&this.map._collectResourceTiming&&(K.collectResourceTiming=!0);var ht=this.sourceCaches[O]=new ti(O,K,this.dispatcher);ht.style=this,ht.setEventedParent(this,function(){return{isSourceLoaded:ne.loaded(),source:ht.serialize(),sourceId:O}}),ht.onAdd(this.map),this._changed=!0}},D.prototype.removeSource=function(O){if(this._checkLoaded(),this.sourceCaches[O]===void 0)throw new Error(\"There is no source with this ID\");for(var K in this._layers)if(this._layers[K].source===O)return this.fire(new i.ErrorEvent(new Error('Source \"'+O+'\" cannot be removed while layer \"'+K+'\" is using it.')));var de=this.sourceCaches[O];delete this.sourceCaches[O],delete this._updatedSources[O],de.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:O})),de.setEventedParent(null),de.clearTiles(),de.onRemove&&de.onRemove(this.map),this._changed=!0},D.prototype.setGeoJSONSourceData=function(O,K){this._checkLoaded();var de=this.sourceCaches[O].getSource();de.setData(K),this._changed=!0},D.prototype.getSource=function(O){return this.sourceCaches[O]&&this.sourceCaches[O].getSource()},D.prototype.addLayer=function(O,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=O.id;if(this.getLayer(ne)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+ne+'\" already exists on this map')));return}var we;if(O.type===\"custom\"){if(pl(this,i.validateCustomStyleLayer(O)))return;we=i.createStyleLayer(O)}else{if(typeof O.source==\"object\"&&(this.addSource(ne,O.source),O=i.clone$1(O),O=i.extend(O,{source:ne})),this._validate(i.validateStyle.layer,\"layers.\"+ne,O,{arrayIndex:-1},de))return;we=i.createStyleLayer(O),this._validateLayer(we),we.setEventedParent(this,{layer:{id:ne}}),this._serializedLayers[we.id]=we.serialize()}var Oe=K?this._order.indexOf(K):this._order.length;if(K&&Oe===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}if(this._order.splice(Oe,0,ne),this._layerOrderChanged=!0,this._layers[ne]=we,this._removedLayers[ne]&&we.source&&we.type!==\"custom\"){var ht=this._removedLayers[ne];delete this._removedLayers[ne],ht.type!==we.type?this._updatedSources[we.source]=\"clear\":(this._updatedSources[we.source]=\"reload\",this.sourceCaches[we.source].pause())}this._updateLayer(we),we.onAdd&&we.onAdd(this.map)},D.prototype.moveLayer=function(O,K){this._checkLoaded(),this._changed=!0;var de=this._layers[O];if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be moved.\")));return}if(O!==K){var ne=this._order.indexOf(O);this._order.splice(ne,1);var we=K?this._order.indexOf(K):this._order.length;if(K&&we===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+K+'\" does not exist on this map.')));return}this._order.splice(we,0,O),this._layerOrderChanged=!0}},D.prototype.removeLayer=function(O){this._checkLoaded();var K=this._layers[O];if(!K){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be removed.\")));return}K.setEventedParent(null);var de=this._order.indexOf(O);this._order.splice(de,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[O]=K,delete this._layers[O],delete this._serializedLayers[O],delete this._updatedLayers[O],delete this._updatedPaintProps[O],K.onRemove&&K.onRemove(this.map)},D.prototype.getLayer=function(O){return this._layers[O]},D.prototype.hasLayer=function(O){return O in this._layers},D.prototype.setLayerZoomRange=function(O,K,de){this._checkLoaded();var ne=this.getLayer(O);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot have zoom extent.\")));return}ne.minzoom===K&&ne.maxzoom===de||(K!=null&&(ne.minzoom=K),de!=null&&(ne.maxzoom=de),this._updateLayer(ne))},D.prototype.setFilter=function(O,K,de){de===void 0&&(de={}),this._checkLoaded();var ne=this.getLayer(O);if(!ne){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(ne.filter,K)){if(K==null){ne.filter=void 0,this._updateLayer(ne);return}this._validate(i.validateStyle.filter,\"layers.\"+ne.id+\".filter\",K,null,de)||(ne.filter=i.clone$1(K),this._updateLayer(ne))}},D.prototype.getFilter=function(O){return i.clone$1(this.getLayer(O).filter)},D.prototype.setLayoutProperty=function(O,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(O);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(we.getLayoutProperty(K),de)||(we.setLayoutProperty(K,de,ne),this._updateLayer(we))},D.prototype.getLayoutProperty=function(O,K){var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style.\")));return}return de.getLayoutProperty(K)},D.prototype.setPaintProperty=function(O,K,de,ne){ne===void 0&&(ne={}),this._checkLoaded();var we=this.getLayer(O);if(!we){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(we.getPaintProperty(K),de)){var Oe=we.setPaintProperty(K,de,ne);Oe&&this._updateLayer(we),this._changed=!0,this._updatedPaintProps[O]=!0}},D.prototype.getPaintProperty=function(O,K){return this.getLayer(O).getPaintProperty(K)},D.prototype.setFeatureState=function(O,K){this._checkLoaded();var de=O.source,ne=O.sourceLayer,we=this.sourceCaches[de];if(we===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var Oe=we.getSource().type;if(Oe===\"geojson\"&&ne){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if(Oe===\"vector\"&&!ne){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),we.setFeatureState(ne,O.id,K)},D.prototype.removeFeatureState=function(O,K){this._checkLoaded();var de=O.source,ne=this.sourceCaches[de];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+de+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type,Oe=we===\"vector\"?O.sourceLayer:void 0;if(we===\"vector\"&&!Oe){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if(K&&typeof O.id!=\"string\"&&typeof O.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}ne.removeFeatureState(Oe,O.id,K)},D.prototype.getFeatureState=function(O){this._checkLoaded();var K=O.source,de=O.sourceLayer,ne=this.sourceCaches[K];if(ne===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+K+\"' does not exist in the map's style.\")));return}var we=ne.getSource().type;if(we===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),ne.getFeatureState(de,O.id)},D.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},D.prototype.serialize=function(){return i.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:i.mapObject(this.sourceCaches,function(O){return O.serialize()}),layers:this._serializeLayers(this._order)},function(O){return O!==void 0})},D.prototype._updateLayer=function(O){this._updatedLayers[O.id]=!0,O.source&&!this._updatedSources[O.source]&&this.sourceCaches[O.source].getSource().type!==\"raster\"&&(this._updatedSources[O.source]=\"reload\",this.sourceCaches[O.source].pause()),this._changed=!0},D.prototype._flattenAndSortRenderedFeatures=function(O){for(var K=this,de=function(bi){return K._layers[bi].type===\"fill-extrusion\"},ne={},we=[],Oe=this._order.length-1;Oe>=0;Oe--){var ht=this._order[Oe];if(de(ht)){ne[ht]=Oe;for(var Yt=0,cr=O;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=Nt[ht];if(Ne)for(var $e=0,st=Ne;$e<st.length;$e+=1){var It=st[$e];we.push(It)}}}}we.sort(function(bi,gn){return gn.intersectionZ-bi.intersectionZ});for(var Bt=[],Ft=this._order.length-1;Ft>=0;Ft--){var Ut=this._order[Ft];if(de(Ut))for(var zt=we.length-1;zt>=0;zt--){var _t=we[zt].feature;if(ne[_t.layer.id]<Ft)break;Bt.push(_t),we.pop()}else for(var Dt=0,vt=O;Dt<vt.length;Dt+=1){var lr=vt[Dt],_r=lr[Ut];if(_r)for(var Br=0,Di=_r;Br<Di.length;Br+=1){var ci=Di[Br];Bt.push(ci.feature)}}}return Bt},D.prototype.queryRenderedFeatures=function(O,K,de){K&&K.filter&&this._validate(i.validateStyle.filter,\"queryRenderedFeatures.filter\",K.filter,null,K);var ne={};if(K&&K.layers){if(!Array.isArray(K.layers))return this.fire(new i.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var we=0,Oe=K.layers;we<Oe.length;we+=1){var ht=Oe[we],Yt=this._layers[ht];if(!Yt)return this.fire(new i.ErrorEvent(new Error(\"The layer '\"+ht+\"' does not exist in the map's style and cannot be queried for features.\"))),[];ne[Yt.source]=!0}}var cr=[];K.availableImages=this._availableImages;for(var Nt in this.sourceCaches)K.layers&&!ne[Nt]||cr.push(ce(this.sourceCaches[Nt],this._layers,this._serializedLayers,O,K,de));return this.placement&&cr.push(He(this._layers,this._serializedLayers,this.sourceCaches,O,K,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(cr)},D.prototype.querySourceFeatures=function(O,K){K&&K.filter&&this._validate(i.validateStyle.filter,\"querySourceFeatures.filter\",K.filter,null,K);var de=this.sourceCaches[O];return de?lt(de,K):[]},D.prototype.addSourceType=function(O,K,de){if(D.getSourceType(O))return de(new Error('A source type called \"'+O+'\" already exists.'));if(D.setSourceType(O,K),!K.workerSourceURL)return de(null,null);this.dispatcher.broadcast(\"loadWorkerSource\",{name:O,url:K.workerSourceURL},de)},D.prototype.getLight=function(){return this.light.getLight()},D.prototype.setLight=function(O,K){K===void 0&&(K={}),this._checkLoaded();var de=this.light.getLight(),ne=!1;for(var we in O)if(!i.deepEqual(O[we],de[we])){ne=!0;break}if(ne){var Oe={now:i.browser.now(),transition:i.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(O,K),this.light.updateTransitions(Oe)}},D.prototype._validate=function(O,K,de,ne,we){return we===void 0&&(we={}),we&&we.validate===!1?!1:pl(this,O.call(i.validateStyle,i.extend({key:K,style:this.serialize(),value:de,styleSpec:i.styleSpec},ne)))},D.prototype._remove=function(){this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),i.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback);for(var O in this._layers){var K=this._layers[O];K.setEventedParent(null)}for(var de in this.sourceCaches)this.sourceCaches[de].clearTiles(),this.sourceCaches[de].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},D.prototype._clearSource=function(O){this.sourceCaches[O].clearTiles()},D.prototype._reloadSource=function(O){this.sourceCaches[O].resume(),this.sourceCaches[O].reload()},D.prototype._updateSources=function(O){for(var K in this.sourceCaches)this.sourceCaches[K].update(O)},D.prototype._generateCollisionBoxes=function(){for(var O in this.sourceCaches)this._reloadSource(O)},D.prototype._updatePlacement=function(O,K,de,ne,we){we===void 0&&(we=!1);for(var Oe=!1,ht=!1,Yt={},cr=0,Nt=this._order;cr<Nt.length;cr+=1){var Ne=Nt[cr],$e=this._layers[Ne];if($e.type===\"symbol\"){if(!Yt[$e.source]){var st=this.sourceCaches[$e.source];Yt[$e.source]=st.getRenderableIds(!0).map(function(Dt){return st.getTileByID(Dt)}).sort(function(Dt,vt){return vt.tileID.overscaledZ-Dt.tileID.overscaledZ||(Dt.tileID.isLessThan(vt.tileID)?-1:1)})}var It=this.crossTileSymbolIndex.addLayer($e,Yt[$e.source],O.center.lng);Oe=Oe||It}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),we=we||this._layerOrderChanged||de===0,(we||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(i.browser.now(),O.zoom))&&(this.pauseablePlacement=new Oo(O,this._order,we,K,de,ne,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,Yt),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(i.browser.now()),ht=!0),Oe&&this.pauseablePlacement.placement.setStale()),ht||Oe)for(var Bt=0,Ft=this._order;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=this._layers[Ut];zt.type===\"symbol\"&&this.placement.updateLayerOpacities(zt,Yt[zt.source])}var _t=!this.pauseablePlacement.isDone()||this.placement.hasTransitions(i.browser.now());return _t},D.prototype._releaseSymbolFadeTiles=function(){for(var O in this.sourceCaches)this.sourceCaches[O].releaseSymbolFadeTiles()},D.prototype.getImages=function(O,K,de){this.imageManager.getImages(K.icons,de),this._updateTilesForChangedImages();var ne=this.sourceCaches[K.source];ne&&ne.setDependencies(K.tileID.key,K.type,K.icons)},D.prototype.getGlyphs=function(O,K,de){this.glyphManager.getGlyphs(K.stacks,de)},D.prototype.getResource=function(O,K,de){return i.makeRequest(K,de)},D})(i.Evented);yu.getSourceType=Be,yu.setSourceType=Le,yu.registerForPluginStateChange=i.registerForPluginStateChange;var oc=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Cf=`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif`,sc=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}`,jh=`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Lf=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",cs=`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,af=\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\",Gf=`varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,$l=`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`,fl=\"void main() {gl_FragColor=vec4(1.0);}\",lc=\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\",Fu=`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Es=`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}`,Hs=`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,Go=\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\",ps=\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",uc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",bl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",Gu=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",Os=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",od=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",Po=`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,sd=`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`,Ko=`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Pa=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,of=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Hu=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,wl=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Hf=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,Ic=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,yf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Ol=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Ah=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,Qf=`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,_f=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",Yc=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,eh=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",th=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ju=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,jf=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,cc=`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,sf=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Bl=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Kc=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Rc=`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,gs=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Wf=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",Wh=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,rh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,lf=`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,Sh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,Mu=`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,ih=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,js=Us(Cf,sc),Eu=Us(jh,Lf),Dc=Us(cs,af),ks=Us(Gf,$l),bc=Us(fl,lc),hu=Us(Fu,Es),_u=Us(Hs,Go),il=Us(ps,uc),nh=Us(bl,Gu),Mh=Us(Os,od),zu=Us(Po,sd),Fc=Us(Ko,Pa),wc=Us(of,Hu),bd=Us(wl,Hf),xf=Us(Ic,yf),Pf=Us(Ol,Ah),qu=Us(Qf,_f),bf=Us(Yc,eh),jl=Us(th,ju),uf=Us(jf,cc),Xh=Us(sf,Bl),If=Us(Kc,Rc),Cs=Us(gs,Wf),du=Us(Wh,rh),ku=Us(lf,Sh),Xf=Us(Mu,ih);function Us(Y,D){var J=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,O=D.match(/attribute ([\\w]+) ([\\w]+)/g),K=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=D.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),ne=de?de.concat(K):K,we={};return Y=Y.replace(J,function(Oe,ht,Yt,cr,Nt){return we[Nt]=!0,ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "varying `+Yt+\" \"+cr+\" \"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`}),D=D.replace(J,function(Oe,ht,Yt,cr,Nt){var Ne=cr===\"float\"?\"vec2\":\"vec4\",$e=Nt.match(/color/)?\"color\":Ne;return we[Nt]?ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "uniform lowp float u_`+Nt+`_t;\n",
+       "attribute `+Yt+\" \"+Ne+\" a_\"+Nt+`;\n",
+       "varying `+Yt+\" \"+cr+\" \"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:$e===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Nt+\" = a_\"+Nt+`;\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Nt+\" = unpack_mix_\"+$e+\"(a_\"+Nt+\", u_\"+Nt+`_t);\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:ht===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "uniform lowp float u_`+Nt+`_t;\n",
+       "attribute `+Yt+\" \"+Ne+\" a_\"+Nt+`;\n",
+       "#else\n",
+       "uniform `+Yt+\" \"+cr+\" u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:$e===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = a_\"+Nt+`;\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_`+Nt+`\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = unpack_mix_\"+$e+\"(a_\"+Nt+\", u_\"+Nt+`_t);\n",
+       "#else\n",
+       "    `+Yt+\" \"+cr+\" \"+Nt+\" = u_\"+Nt+`;\n",
+       "#endif\n",
+       "`}),{fragmentSource:Y,vertexSource:D,staticAttributes:O,staticUniforms:ne}}var wf=Object.freeze({__proto__:null,prelude:js,background:Eu,backgroundPattern:Dc,circle:ks,clippingMask:bc,heatmap:hu,heatmapTexture:_u,collisionBox:il,collisionCircle:nh,debug:Mh,fill:zu,fillOutline:Fc,fillOutlinePattern:wc,fillPattern:bd,fillExtrusion:xf,fillExtrusionPattern:Pf,hillshadePrepare:qu,hillshade:bf,line:jl,lineGradient:uf,linePattern:Xh,lineSDF:If,raster:Cs,symbolIcon:du,symbolSDF:ku,symbolTextAndIcon:Xf}),zc=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};zc.prototype.bind=function(D,J,O,K,de,ne,we,Oe){this.context=D;for(var ht=this.boundPaintVertexBuffers.length!==K.length,Yt=0;!ht&&Yt<K.length;Yt++)this.boundPaintVertexBuffers[Yt]!==K[Yt]&&(ht=!0);var cr=!this.vao||this.boundProgram!==J||this.boundLayoutVertexBuffer!==O||ht||this.boundIndexBuffer!==de||this.boundVertexOffset!==ne||this.boundDynamicVertexBuffer!==we||this.boundDynamicVertexBuffer2!==Oe;!D.extVertexArrayObject||cr?this.freshBind(J,O,K,de,ne,we,Oe):(D.bindVertexArrayOES.set(this.vao),we&&we.bind(),de&&de.dynamicDraw&&de.bind(),Oe&&Oe.bind())},zc.prototype.freshBind=function(D,J,O,K,de,ne,we){var Oe,ht=D.numAttributes,Yt=this.context,cr=Yt.gl;if(Yt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Yt.extVertexArrayObject.createVertexArrayOES(),Yt.bindVertexArrayOES.set(this.vao),Oe=0,this.boundProgram=D,this.boundLayoutVertexBuffer=J,this.boundPaintVertexBuffers=O,this.boundIndexBuffer=K,this.boundVertexOffset=de,this.boundDynamicVertexBuffer=ne,this.boundDynamicVertexBuffer2=we;else{Oe=Yt.currentNumAttributes||0;for(var Nt=ht;Nt<Oe;Nt++)cr.disableVertexAttribArray(Nt)}J.enableAttributes(cr,D);for(var Ne=0,$e=O;Ne<$e.length;Ne+=1){var st=$e[Ne];st.enableAttributes(cr,D)}ne&&ne.enableAttributes(cr,D),we&&we.enableAttributes(cr,D),J.bind(),J.setVertexAttribPointers(cr,D,de);for(var It=0,Bt=O;It<Bt.length;It+=1){var Ft=Bt[It];Ft.bind(),Ft.setVertexAttribPointers(cr,D,de)}ne&&(ne.bind(),ne.setVertexAttribPointers(cr,D,de)),K&&K.bind(),we&&(we.bind(),we.setVertexAttribPointers(cr,D,de)),Yt.currentNumAttributes=ht},zc.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};function Wu(Y){for(var D=[],J=0;J<Y.length;J++)if(Y[J]!==null){var O=Y[J].split(\" \");D.push(O.pop())}return D}var Rf=function(D,J,O,K,de,ne){var we=D.gl;this.program=we.createProgram();for(var Oe=Wu(O.staticAttributes),ht=K?K.getBinderAttributes():[],Yt=Oe.concat(ht),cr=O.staticUniforms?Wu(O.staticUniforms):[],Nt=K?K.getBinderUniforms():[],Ne=cr.concat(Nt),$e=[],st=0,It=Ne;st<It.length;st+=1){var Bt=It[st];$e.indexOf(Bt)<0&&$e.push(Bt)}var Ft=K?K.defines():[];ne&&Ft.push(\"#define OVERDRAW_INSPECTOR;\");var Ut=Ft.concat(js.fragmentSource,O.fragmentSource).join(`\n",
+       "`),zt=Ft.concat(js.vertexSource,O.vertexSource).join(`\n",
+       "`),_t=we.createShader(we.FRAGMENT_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(_t,Ut),we.compileShader(_t),we.attachShader(this.program,_t);var Dt=we.createShader(we.VERTEX_SHADER);if(we.isContextLost()){this.failedToCreate=!0;return}we.shaderSource(Dt,zt),we.compileShader(Dt),we.attachShader(this.program,Dt),this.attributes={};var vt={};this.numAttributes=Yt.length;for(var lr=0;lr<this.numAttributes;lr++)Yt[lr]&&(we.bindAttribLocation(this.program,lr,Yt[lr]),this.attributes[Yt[lr]]=lr);we.linkProgram(this.program),we.deleteShader(Dt),we.deleteShader(_t);for(var _r=0;_r<$e.length;_r++){var Br=$e[_r];if(Br&&!vt[Br]){var Di=we.getUniformLocation(this.program,Br);Di&&(vt[Br]=Di)}}this.fixedUniforms=de(D,vt),this.binderUniforms=K?K.getUniforms(D,vt):[]};Rf.prototype.draw=function(D,J,O,K,de,ne,we,Oe,ht,Yt,cr,Nt,Ne,$e,st,It){var Bt,Ft=D.gl;if(!this.failedToCreate){D.program.set(this.program),D.setDepthMode(O),D.setStencilMode(K),D.setColorMode(de),D.setCullFace(ne);for(var Ut in this.fixedUniforms)this.fixedUniforms[Ut].set(we[Ut]);$e&&$e.setUniforms(D,this.binderUniforms,Nt,{zoom:Ne});for(var zt=(Bt={},Bt[Ft.LINES]=2,Bt[Ft.TRIANGLES]=3,Bt[Ft.LINE_STRIP]=1,Bt)[J],_t=0,Dt=cr.get();_t<Dt.length;_t+=1){var vt=Dt[_t],lr=vt.vaos||(vt.vaos={}),_r=lr[Oe]||(lr[Oe]=new zc);_r.bind(D,this,ht,$e?$e.getPaintVertexBuffers():[],Yt,vt.vertexOffset,st,It),Ft.drawElements(J,vt.primitiveLength*zt,Ft.UNSIGNED_SHORT,vt.primitiveOffset*zt*2)}}};function Xu(Y,D,J){var O=1/As(J,1,D.transform.tileZoom),K=Math.pow(2,J.tileID.overscaledZ),de=J.tileSize*Math.pow(2,D.transform.tileZoom)/K,ne=de*(J.tileID.canonical.x+J.tileID.wrap*K),we=de*J.tileID.canonical.y;return{u_image:0,u_texsize:J.imageAtlasTexture.size,u_scale:[O,Y.fromScale,Y.toScale],u_fade:Y.t,u_pixel_coord_upper:[ne>>16,we>>16],u_pixel_coord_lower:[ne&65535,we&65535]}}function cf(Y,D,J,O){var K=J.imageManager.getPattern(Y.from.toString()),de=J.imageManager.getPattern(Y.to.toString()),ne=J.imageManager.getPixelSize(),we=ne.width,Oe=ne.height,ht=Math.pow(2,O.tileID.overscaledZ),Yt=O.tileSize*Math.pow(2,J.transform.tileZoom)/ht,cr=Yt*(O.tileID.canonical.x+O.tileID.wrap*ht),Nt=Yt*O.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:K.tl,u_pattern_br_a:K.br,u_pattern_tl_b:de.tl,u_pattern_br_b:de.br,u_texsize:[we,Oe],u_mix:D.t,u_pattern_size_a:K.displaySize,u_pattern_size_b:de.displaySize,u_scale_a:D.fromScale,u_scale_b:D.toScale,u_tile_units_to_pixels:1/As(O,1,J.transform.tileZoom),u_pixel_coord_upper:[cr>>16,Nt>>16],u_pixel_coord_lower:[cr&65535,Nt&65535]}}var Zf=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},Wl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_lightpos:new i.Uniform3f(Y,D.u_lightpos),u_lightintensity:new i.Uniform1f(Y,D.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,D.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,D.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,D.u_height_factor),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},ah=function(Y,D,J,O){var K=D.style.light,de=K.properties.get(\"position\"),ne=[de.x,de.y,de.z],we=i.create$1();K.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(we,-D.transform.angle),i.transformMat3(ne,ne,we);var Oe=K.properties.get(\"color\");return{u_matrix:Y,u_lightpos:ne,u_lightintensity:K.properties.get(\"intensity\"),u_lightcolor:[Oe.r,Oe.g,Oe.b],u_vertical_gradient:+J,u_opacity:O}},Zu=function(Y,D,J,O,K,de,ne){return i.extend(ah(Y,D,J,O),Xu(de,D,ne),{u_height_factor:-Math.pow(2,K.overscaledZ)/ne.tileSize/8})},qc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Tc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},Tl=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world)}},vu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},Oc=function(Y){return{u_matrix:Y}},ff=function(Y,D,J,O){return i.extend(Oc(Y),Xu(J,D,O))},fc=function(Y,D){return{u_matrix:Y,u_world:D}},Bc=function(Y,D,J,O,K){return i.extend(ff(Y,D,J,O),{u_world:K})},kt=function(Y,D){return{u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,D.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},Zt=function(Y,D,J,O){var K=Y.transform,de,ne;if(O.paint.get(\"circle-pitch-alignment\")===\"map\"){var we=As(J,1,K.zoom);de=!0,ne=[we,we]}else de=!1,ne=K.pixelsToGLUnits;return{u_camera_to_center_distance:K.cameraToCenterDistance,u_scale_with_map:+(O.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Y.translatePosMatrix(D.posMatrix,J,O.paint.get(\"circle-translate\"),O.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+de,u_device_pixel_ratio:i.browser.devicePixelRatio,u_extrude_scale:ne}},Er=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pixels_to_tile_units:new i.Uniform1f(Y,D.u_pixels_to_tile_units),u_extrude_scale:new i.Uniform2f(Y,D.u_extrude_scale),u_overscale_factor:new i.Uniform1f(Y,D.u_overscale_factor)}},xr=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_inv_matrix:new i.UniformMatrix4f(Y,D.u_inv_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_viewport_size:new i.Uniform2f(Y,D.u_viewport_size)}},Kr=function(Y,D,J){var O=As(J,1,D.zoom),K=Math.pow(2,D.zoom-J.tileID.overscaledZ),de=J.tileID.overscaleFactor();return{u_matrix:Y,u_camera_to_center_distance:D.cameraToCenterDistance,u_pixels_to_tile_units:O,u_extrude_scale:[D.pixelsToGLUnits[0]/(O*K),D.pixelsToGLUnits[1]/(O*K)],u_overscale_factor:de}},Mi=function(Y,D,J){return{u_matrix:Y,u_inv_matrix:D,u_camera_to_center_distance:J.cameraToCenterDistance,u_viewport_size:[J.width,J.height]}},Xi=function(Y,D){return{u_color:new i.UniformColor(Y,D.u_color),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_overlay:new i.Uniform1i(Y,D.u_overlay),u_overlay_scale:new i.Uniform1f(Y,D.u_overlay_scale)}},dn=function(Y,D,J){return J===void 0&&(J=1),{u_matrix:Y,u_color:D,u_overlay:0,u_overlay_scale:J}},wn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},On=function(Y){return{u_matrix:Y}},Yi=function(Y,D){return{u_extrude_scale:new i.Uniform1f(Y,D.u_extrude_scale),u_intensity:new i.Uniform1f(Y,D.u_intensity),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix)}},$i=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_world:new i.Uniform2f(Y,D.u_world),u_image:new i.Uniform1i(Y,D.u_image),u_color_ramp:new i.Uniform1i(Y,D.u_color_ramp),u_opacity:new i.Uniform1f(Y,D.u_opacity)}},an=function(Y,D,J,O){return{u_matrix:Y,u_extrude_scale:As(D,1,J),u_intensity:O}},Fi=function(Y,D,J,O){var K=i.create();i.ortho(K,0,Y.width,Y.height,0,0,1);var de=Y.context.gl;return{u_matrix:K,u_world:[de.drawingBufferWidth,de.drawingBufferHeight],u_image:J,u_color_ramp:O,u_opacity:D.paint.get(\"heatmap-opacity\")}},ta=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_latrange:new i.Uniform2f(Y,D.u_latrange),u_light:new i.Uniform2f(Y,D.u_light),u_shadow:new i.UniformColor(Y,D.u_shadow),u_highlight:new i.UniformColor(Y,D.u_highlight),u_accent:new i.UniformColor(Y,D.u_accent)}},Ca=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_image:new i.Uniform1i(Y,D.u_image),u_dimension:new i.Uniform2f(Y,D.u_dimension),u_zoom:new i.Uniform1f(Y,D.u_zoom),u_unpack:new i.Uniform4f(Y,D.u_unpack)}},Ra=function(Y,D,J){var O=J.paint.get(\"hillshade-shadow-color\"),K=J.paint.get(\"hillshade-highlight-color\"),de=J.paint.get(\"hillshade-accent-color\"),ne=J.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);J.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(ne-=Y.transform.angle);var we=!Y.options.moving;return{u_matrix:Y.transform.calculatePosMatrix(D.tileID.toUnwrapped(),we),u_image:0,u_latrange:Ua(Y,D.tileID),u_light:[J.paint.get(\"hillshade-exaggeration\"),ne],u_shadow:O,u_highlight:K,u_accent:de}},La=function(Y,D){var J=D.stride,O=i.create();return i.ortho(O,0,i.EXTENT,-i.EXTENT,0,0,1),i.translate(O,O,[0,-i.EXTENT,0]),{u_matrix:O,u_image:1,u_dimension:[J,J],u_zoom:Y.overscaledZ,u_unpack:D.getUnpackVector()}};function Ua(Y,D){var J=Math.pow(2,D.canonical.z),O=D.canonical.y;return[new i.MercatorCoordinate(0,O/J).toLngLat().lat,new i.MercatorCoordinate(0,(O+1)/J).toLngLat().lat]}var Zn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels)}},Dn=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_image:new i.Uniform1i(Y,D.u_image),u_image_height:new i.Uniform1f(Y,D.u_image_height)}},Ka=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_image:new i.Uniform1i(Y,D.u_image),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_scale:new i.Uniform3f(Y,D.u_scale),u_fade:new i.Uniform1f(Y,D.u_fade)}},bo=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_ratio:new i.Uniform1f(Y,D.u_ratio),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_units_to_pixels:new i.Uniform2f(Y,D.u_units_to_pixels),u_patternscale_a:new i.Uniform2f(Y,D.u_patternscale_a),u_patternscale_b:new i.Uniform2f(Y,D.u_patternscale_b),u_sdfgamma:new i.Uniform1f(Y,D.u_sdfgamma),u_image:new i.Uniform1i(Y,D.u_image),u_tex_y_a:new i.Uniform1f(Y,D.u_tex_y_a),u_tex_y_b:new i.Uniform1f(Y,D.u_tex_y_b),u_mix:new i.Uniform1f(Y,D.u_mix)}},Zo=function(Y,D,J){var O=Y.transform;return{u_matrix:ml(Y,D,J),u_ratio:1/As(D,1,O.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_units_to_pixels:[1/O.pixelsToGLUnits[0],1/O.pixelsToGLUnits[1]]}},Ss=function(Y,D,J,O){return i.extend(Zo(Y,D,J),{u_image:0,u_image_height:O})},as=function(Y,D,J,O){var K=Y.transform,de=Ho(D,K);return{u_matrix:ml(Y,D,J),u_texsize:D.imageAtlasTexture.size,u_ratio:1/As(D,1,K.zoom),u_device_pixel_ratio:i.browser.devicePixelRatio,u_image:0,u_scale:[de,O.fromScale,O.toScale],u_fade:O.t,u_units_to_pixels:[1/K.pixelsToGLUnits[0],1/K.pixelsToGLUnits[1]]}},ws=function(Y,D,J,O,K){var de=Y.transform,ne=Y.lineAtlas,we=Ho(D,de),Oe=J.layout.get(\"line-cap\")===\"round\",ht=ne.getDash(O.from,Oe),Yt=ne.getDash(O.to,Oe),cr=ht.width*K.fromScale,Nt=Yt.width*K.toScale;return i.extend(Zo(Y,D,J),{u_patternscale_a:[we/cr,-ht.height/2],u_patternscale_b:[we/Nt,-Yt.height/2],u_sdfgamma:ne.width/(Math.min(cr,Nt)*256*i.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:ht.y,u_tex_y_b:Yt.y,u_mix:K.t})};function Ho(Y,D){return 1/As(Y,1,D.tileZoom)}function ml(Y,D,J){return Y.translatePosMatrix(D.tileID.posMatrix,D,J.paint.get(\"line-translate\"),J.paint.get(\"line-translate-anchor\"))}var Ws=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_tl_parent:new i.Uniform2f(Y,D.u_tl_parent),u_scale_parent:new i.Uniform1f(Y,D.u_scale_parent),u_buffer_scale:new i.Uniform1f(Y,D.u_buffer_scale),u_fade_t:new i.Uniform1f(Y,D.u_fade_t),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image0:new i.Uniform1i(Y,D.u_image0),u_image1:new i.Uniform1i(Y,D.u_image1),u_brightness_low:new i.Uniform1f(Y,D.u_brightness_low),u_brightness_high:new i.Uniform1f(Y,D.u_brightness_high),u_saturation_factor:new i.Uniform1f(Y,D.u_saturation_factor),u_contrast_factor:new i.Uniform1f(Y,D.u_contrast_factor),u_spin_weights:new i.Uniform3f(Y,D.u_spin_weights)}},Ls=function(Y,D,J,O,K){return{u_matrix:Y,u_tl_parent:D,u_scale_parent:J,u_buffer_scale:1,u_fade_t:O.mix,u_opacity:O.opacity*K.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:K.paint.get(\"raster-brightness-min\"),u_brightness_high:K.paint.get(\"raster-brightness-max\"),u_saturation_factor:ys(K.paint.get(\"raster-saturation\")),u_contrast_factor:no(K.paint.get(\"raster-contrast\")),u_spin_weights:va(K.paint.get(\"raster-hue-rotate\"))}};function va(Y){Y*=Math.PI/180;var D=Math.sin(Y),J=Math.cos(Y);return[(2*J+1)/3,(-Math.sqrt(3)*D-J+1)/3,(Math.sqrt(3)*D-J+1)/3]}function no(Y){return Y>0?1/(1-Y):1+Y}function ys(Y){return Y>0?1-1/(1.001-Y):-Y}var rs=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture)}},Ql=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texture:new i.Uniform1i(Y,D.u_texture),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Cu=function(Y,D){return{u_is_size_zoom_constant:new i.Uniform1i(Y,D.u_is_size_zoom_constant),u_is_size_feature_constant:new i.Uniform1i(Y,D.u_is_size_feature_constant),u_size_t:new i.Uniform1f(Y,D.u_size_t),u_size:new i.Uniform1f(Y,D.u_size),u_camera_to_center_distance:new i.Uniform1f(Y,D.u_camera_to_center_distance),u_pitch:new i.Uniform1f(Y,D.u_pitch),u_rotate_symbol:new i.Uniform1i(Y,D.u_rotate_symbol),u_aspect_ratio:new i.Uniform1f(Y,D.u_aspect_ratio),u_fade_change:new i.Uniform1f(Y,D.u_fade_change),u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_label_plane_matrix:new i.UniformMatrix4f(Y,D.u_label_plane_matrix),u_coord_matrix:new i.UniformMatrix4f(Y,D.u_coord_matrix),u_is_text:new i.Uniform1i(Y,D.u_is_text),u_pitch_with_map:new i.Uniform1i(Y,D.u_pitch_with_map),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_texsize_icon:new i.Uniform2f(Y,D.u_texsize_icon),u_texture:new i.Uniform1i(Y,D.u_texture),u_texture_icon:new i.Uniform1i(Y,D.u_texture_icon),u_gamma_scale:new i.Uniform1f(Y,D.u_gamma_scale),u_device_pixel_ratio:new i.Uniform1f(Y,D.u_device_pixel_ratio),u_is_halo:new i.Uniform1i(Y,D.u_is_halo)}},Yu=function(Y,D,J,O,K,de,ne,we,Oe,ht){var Yt=K.transform;return{u_is_size_zoom_constant:+(Y===\"constant\"||Y===\"source\"),u_is_size_feature_constant:+(Y===\"constant\"||Y===\"camera\"),u_size_t:D?D.uSizeT:0,u_size:D?D.uSize:0,u_camera_to_center_distance:Yt.cameraToCenterDistance,u_pitch:Yt.pitch/360*2*Math.PI,u_rotate_symbol:+J,u_aspect_ratio:Yt.width/Yt.height,u_fade_change:K.options.fadeDuration?K.symbolFadeChange:1,u_matrix:de,u_label_plane_matrix:ne,u_coord_matrix:we,u_is_text:+Oe,u_pitch_with_map:+O,u_texsize:ht,u_texture:0}},Nc=function(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=K.transform;return i.extend(Yu(Y,D,J,O,K,de,ne,we,Oe,ht),{u_gamma_scale:O?Math.cos(cr._pitch)*cr.cameraToCenterDistance:1,u_device_pixel_ratio:i.browser.devicePixelRatio,u_is_halo:+Yt})},pu=function(Y,D,J,O,K,de,ne,we,Oe,ht){return i.extend(Nc(Y,D,J,O,K,de,ne,we,!0,Oe,!0),{u_texsize_icon:ht,u_texture_icon:1})},Uc=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_color:new i.UniformColor(Y,D.u_color)}},xu=function(Y,D){return{u_matrix:new i.UniformMatrix4f(Y,D.u_matrix),u_opacity:new i.Uniform1f(Y,D.u_opacity),u_image:new i.Uniform1i(Y,D.u_image),u_pattern_tl_a:new i.Uniform2f(Y,D.u_pattern_tl_a),u_pattern_br_a:new i.Uniform2f(Y,D.u_pattern_br_a),u_pattern_tl_b:new i.Uniform2f(Y,D.u_pattern_tl_b),u_pattern_br_b:new i.Uniform2f(Y,D.u_pattern_br_b),u_texsize:new i.Uniform2f(Y,D.u_texsize),u_mix:new i.Uniform1f(Y,D.u_mix),u_pattern_size_a:new i.Uniform2f(Y,D.u_pattern_size_a),u_pattern_size_b:new i.Uniform2f(Y,D.u_pattern_size_b),u_scale_a:new i.Uniform1f(Y,D.u_scale_a),u_scale_b:new i.Uniform1f(Y,D.u_scale_b),u_pixel_coord_upper:new i.Uniform2f(Y,D.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,D.u_pixel_coord_lower),u_tile_units_to_pixels:new i.Uniform1f(Y,D.u_tile_units_to_pixels)}},Ac=function(Y,D,J){return{u_matrix:Y,u_opacity:D,u_color:J}},Va=function(Y,D,J,O,K,de){return i.extend(cf(O,de,J,K),{u_matrix:Y,u_opacity:D})},oo={fillExtrusion:Zf,fillExtrusionPattern:Wl,fill:qc,fillPattern:Tc,fillOutline:Tl,fillOutlinePattern:vu,circle:kt,collisionBox:Er,collisionCircle:xr,debug:Xi,clippingMask:wn,heatmap:Yi,heatmapTexture:$i,hillshade:ta,hillshadePrepare:Ca,line:Zn,lineGradient:Dn,linePattern:Ka,lineSDF:bo,raster:Ws,symbolIcon:rs,symbolSDF:Ql,symbolTextAndIcon:Cu,background:Uc,backgroundPattern:xu},Vc;function hc(Y,D,J,O,K,de,ne){for(var we=Y.context,Oe=we.gl,ht=Y.useProgram(\"collisionBox\"),Yt=[],cr=0,Nt=0,Ne=0;Ne<O.length;Ne++){var $e=O[Ne],st=D.getTile($e),It=st.getBucket(J);if(It){var Bt=$e.posMatrix;(K[0]!==0||K[1]!==0)&&(Bt=Y.translatePosMatrix($e.posMatrix,st,K,de));var Ft=ne?It.textCollisionBox:It.iconCollisionBox,Ut=It.collisionCircleArray;if(Ut.length>0){var zt=i.create(),_t=Bt;i.mul(zt,It.placementInvProjMatrix,Y.transform.glCoordMatrix),i.mul(zt,zt,It.placementViewportMatrix),Yt.push({circleArray:Ut,circleOffset:Nt,transform:_t,invTransform:zt}),cr+=Ut.length/4,Nt=cr}Ft&&ht.draw(we,Oe.LINES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,Kr(Bt,Y.transform,st),J.id,Ft.layoutVertexBuffer,Ft.indexBuffer,Ft.segments,null,Y.transform.zoom,null,null,Ft.collisionVertexBuffer)}}if(!(!ne||!Yt.length)){var Dt=Y.useProgram(\"collisionCircle\"),vt=new i.StructArrayLayout2f1f2i16;vt.resize(cr*4),vt._trim();for(var lr=0,_r=0,Br=Yt;_r<Br.length;_r+=1)for(var Di=Br[_r],ci=0;ci<Di.circleArray.length/4;ci++){var bi=ci*4,gn=Di.circleArray[bi+0],tn=Di.circleArray[bi+1],Ei=Di.circleArray[bi+2],Oi=Di.circleArray[bi+3];vt.emplace(lr++,gn,tn,Ei,Oi,0),vt.emplace(lr++,gn,tn,Ei,Oi,1),vt.emplace(lr++,gn,tn,Ei,Oi,2),vt.emplace(lr++,gn,tn,Ei,Oi,3)}(!Vc||Vc.length<cr*2)&&(Vc=Ku(cr));for(var Gi=we.createIndexBuffer(Vc,!0),on=we.createVertexBuffer(vt,i.collisionCircleLayout.members,!0),zn=0,Ja=Yt;zn<Ja.length;zn+=1){var co=Ja[zn],ts=Mi(co.transform,co.invTransform,Y.transform);Dt.draw(we,Oe.TRIANGLES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,ts,J.id,on,Gi,i.SegmentVector.simpleSegment(0,co.circleOffset*2,co.circleArray.length,co.circleArray.length/2),null,Y.transform.zoom,null,null,null)}on.destroy(),Gi.destroy()}}function Ku(Y){var D=Y*2,J=new i.StructArrayLayout3ui6;J.resize(D),J._trim();for(var O=0;O<D;O++){var K=O*6;J.uint16[K+0]=O*4+0,J.uint16[K+1]=O*4+1,J.uint16[K+2]=O*4+2,J.uint16[K+3]=O*4+2,J.uint16[K+4]=O*4+3,J.uint16[K+5]=O*4+0}return J}var ue=i.identity(new Float32Array(16));function w(Y,D,J,O,K){if(Y.renderPass===\"translucent\"){var de=Vi.disabled,ne=Y.colorModeForRenderPass(),we=J.layout.get(\"text-variable-anchor\");we&&Q(O,Y,J,D,J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),K),J.paint.get(\"icon-opacity\").constantOr(1)!==0&&Fe(Y,D,J,O,!1,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),J.layout.get(\"icon-rotation-alignment\"),J.layout.get(\"icon-pitch-alignment\"),J.layout.get(\"icon-keep-upright\"),de,ne),J.paint.get(\"text-opacity\").constantOr(1)!==0&&Fe(Y,D,J,O,!0,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),J.layout.get(\"text-rotation-alignment\"),J.layout.get(\"text-pitch-alignment\"),J.layout.get(\"text-keep-upright\"),de,ne),D.map.showCollisionBoxes&&(hc(Y,D,J,O,J.paint.get(\"text-translate\"),J.paint.get(\"text-translate-anchor\"),!0),hc(Y,D,J,O,J.paint.get(\"icon-translate\"),J.paint.get(\"icon-translate-anchor\"),!1))}}function B(Y,D,J,O,K,de){var ne=i.getAnchorAlignment(Y),we=ne.horizontalAlign,Oe=ne.verticalAlign,ht=-(we-.5)*D,Yt=-(Oe-.5)*J,cr=i.evaluateVariableOffset(Y,O);return new i.Point((ht/K+cr[0])*de,(Yt/K+cr[1])*de)}function Q(Y,D,J,O,K,de,ne){for(var we=D.transform,Oe=K===\"map\",ht=de===\"map\",Yt=0,cr=Y;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=O.getTile(Nt),$e=Ne.getBucket(J);if(!(!$e||!$e.text||!$e.text.segments.get().length)){var st=$e.textSizeData,It=i.evaluateSizeForZoom(st,we.zoom),Bt=As(Ne,1,D.transform.zoom),Ft=_n(Nt.posMatrix,ht,Oe,D.transform,Bt),Ut=J.layout.get(\"icon-text-fit\")!==\"none\"&&$e.hasIconData();if(It){var zt=Math.pow(2,we.zoom-Ne.tileID.overscaledZ);ee($e,Oe,ht,ne,i.symbolSize,we,Ft,Nt.posMatrix,zt,It,Ut)}}}}function ee(Y,D,J,O,K,de,ne,we,Oe,ht,Yt){var cr=Y.text.placedSymbolArray,Nt=Y.text.dynamicLayoutVertexArray,Ne=Y.icon.dynamicLayoutVertexArray,$e={};Nt.clear();for(var st=0;st<cr.length;st++){var It=cr.get(st),Bt=Y.allowVerticalPlacement&&!It.placedOrientation,Ft=!It.hidden&&It.crossTileID&&!Bt?O[It.crossTileID]:null;if(!Ft)ul(It.numGlyphs,Nt);else{var Ut=new i.Point(It.anchorX,It.anchorY),zt=ea(Ut,J?we:ne),_t=Ma(de.cameraToCenterDistance,zt.signedDistanceFromCamera),Dt=K.evaluateSizeForFeature(Y.textSizeData,ht,It)*_t/i.ONE_EM;J&&(Dt*=Y.tilePixelRatio/Oe);for(var vt=Ft.width,lr=Ft.height,_r=Ft.anchor,Br=Ft.textOffset,Di=Ft.textBoxScale,ci=B(_r,vt,lr,Br,Di,Dt),bi=J?ea(Ut.add(ci),ne).point:zt.point.add(D?ci.rotate(-de.angle):ci),gn=Y.allowVerticalPlacement&&It.placedOrientation===i.WritingMode.vertical?Math.PI/2:0,tn=0;tn<It.numGlyphs;tn++)i.addDynamicAttributes(Nt,bi,gn);Yt&&It.associatedIconIndex>=0&&($e[It.associatedIconIndex]={shiftedAnchor:bi,angle:gn})}}if(Yt){Ne.clear();for(var Ei=Y.icon.placedSymbolArray,Oi=0;Oi<Ei.length;Oi++){var Gi=Ei.get(Oi);if(Gi.hidden)ul(Gi.numGlyphs,Ne);else{var on=$e[Oi];if(!on)ul(Gi.numGlyphs,Ne);else for(var zn=0;zn<Gi.numGlyphs;zn++)i.addDynamicAttributes(Ne,on.shiftedAnchor,on.angle)}}Y.icon.dynamicLayoutVertexBuffer.updateData(Ne)}Y.text.dynamicLayoutVertexBuffer.updateData(Nt)}function le(Y,D,J){return J.iconsInText&&D?\"symbolTextAndIcon\":Y?\"symbolSDF\":\"symbolIcon\"}function Fe(Y,D,J,O,K,de,ne,we,Oe,ht,Yt,cr){for(var Nt=Y.context,Ne=Nt.gl,$e=Y.transform,st=we===\"map\",It=Oe===\"map\",Bt=st&&J.layout.get(\"symbol-placement\")!==\"point\",Ft=st&&!It&&!Bt,Ut=J.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,zt=!1,_t=Y.depthModeForSublayer(0,An.ReadOnly),Dt=J.layout.get(\"text-variable-anchor\"),vt=[],lr=0,_r=O;lr<_r.length;lr+=1){var Br=_r[lr],Di=D.getTile(Br),ci=Di.getBucket(J);if(ci){var bi=K?ci.text:ci.icon;if(!(!bi||!bi.segments.get().length)){var gn=bi.programConfigurations.get(J.id),tn=K||ci.sdfIcons,Ei=K?ci.textSizeData:ci.iconSizeData,Oi=It||$e.pitch!==0,Gi=Y.useProgram(le(tn,K,ci),gn),on=i.evaluateSizeForZoom(Ei,$e.zoom),zn=void 0,Ja=[0,0],co=void 0,ts=void 0,so=null,Yo=void 0;if(K){if(co=Di.glyphAtlasTexture,ts=Ne.LINEAR,zn=Di.glyphAtlasTexture.size,ci.iconsInText){Ja=Di.imageAtlasTexture.size,so=Di.imageAtlasTexture;var ms=Ei.kind===\"composite\"||Ei.kind===\"camera\";Yo=Oi||Y.options.rotating||Y.options.zooming||ms?Ne.LINEAR:Ne.NEAREST}}else{var ou=J.layout.get(\"icon-size\").constantOr(0)!==1||ci.iconsNeedLinear;co=Di.imageAtlasTexture,ts=tn||Y.options.rotating||Y.options.zooming||ou||Oi?Ne.LINEAR:Ne.NEAREST,zn=Di.imageAtlasTexture.size}var Cv=As(Di,1,Y.transform.zoom),Lv=_n(Br.posMatrix,It,st,Y.transform,Cv),wd=ya(Br.posMatrix,It,st,Y.transform,Cv),Kv=Dt&&ci.hasTextData(),hg=J.layout.get(\"icon-text-fit\")!==\"none\"&&Kv&&ci.hasIconData();Bt&&No(ci,Br.posMatrix,Y,K,Lv,wd,It,ht);var gp=Y.translatePosMatrix(Br.posMatrix,Di,de,ne),Td=Bt||K&&Dt||hg?ue:Lv,mp=Y.translatePosMatrix(wd,Di,de,ne,!0),Vd=tn&&J.paint.get(K?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Ad=void 0;tn?ci.iconsInText?Ad=pu(Ei.kind,on,Ft,It,Y,gp,Td,mp,zn,Ja):Ad=Nc(Ei.kind,on,Ft,It,Y,gp,Td,mp,K,zn,!0):Ad=Yu(Ei.kind,on,Ft,It,Y,gp,Td,mp,K,zn);var Pv={program:Gi,buffers:bi,uniformValues:Ad,atlasTexture:co,atlasTextureIcon:so,atlasInterpolation:ts,atlasInterpolationIcon:Yo,isSDF:tn,hasHalo:Vd};if(Ut&&ci.canOverlap){zt=!0;for(var Jv=bi.segments.get(),Iv=0,dy=Jv;Iv<dy.length;Iv+=1){var dg=dy[Iv];vt.push({segments:new i.SegmentVector([dg]),sortKey:dg.sortKey,state:Pv})}}else vt.push({segments:bi.segments,sortKey:0,state:Pv})}}}zt&&vt.sort(function(C1,L1){return C1.sortKey-L1.sortKey});for(var oh=0,vg=vt;oh<vg.length;oh+=1){var vy=vg[oh],Zh=vy.state;if(Nt.activeTexture.set(Ne.TEXTURE0),Zh.atlasTexture.bind(Zh.atlasInterpolation,Ne.CLAMP_TO_EDGE),Zh.atlasTextureIcon&&(Nt.activeTexture.set(Ne.TEXTURE1),Zh.atlasTextureIcon&&Zh.atlasTextureIcon.bind(Zh.atlasInterpolationIcon,Ne.CLAMP_TO_EDGE)),Zh.isSDF){var am=Zh.uniformValues;Zh.hasHalo&&(am.u_is_halo=1,Ze(Zh.buffers,vy.segments,J,Y,Zh.program,_t,Yt,cr,am)),am.u_is_halo=0}Ze(Zh.buffers,vy.segments,J,Y,Zh.program,_t,Yt,cr,Zh.uniformValues)}}function Ze(Y,D,J,O,K,de,ne,we,Oe){var ht=O.context,Yt=ht.gl;K.draw(ht,Yt.TRIANGLES,de,ne,we,wr.disabled,Oe,J.id,Y.layoutVertexBuffer,Y.indexBuffer,D,J.paint,O.transform.zoom,Y.programConfigurations.get(J.id),Y.dynamicLayoutVertexBuffer,Y.opacityVertexBuffer)}function ut(Y,D,J,O){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"circle-opacity\"),de=J.paint.get(\"circle-stroke-width\"),ne=J.paint.get(\"circle-stroke-opacity\"),we=J.layout.get(\"circle-sort-key\").constantOr(1)!==void 0;if(!(K.constantOr(1)===0&&(de.constantOr(1)===0||ne.constantOr(1)===0))){for(var Oe=Y.context,ht=Oe.gl,Yt=Y.depthModeForSublayer(0,An.ReadOnly),cr=Vi.disabled,Nt=Y.colorModeForRenderPass(),Ne=[],$e=0;$e<O.length;$e++){var st=O[$e],It=D.getTile(st),Bt=It.getBucket(J);if(Bt){var Ft=Bt.programConfigurations.get(J.id),Ut=Y.useProgram(\"circle\",Ft),zt=Bt.layoutVertexBuffer,_t=Bt.indexBuffer,Dt=Zt(Y,st,It,J),vt={programConfiguration:Ft,program:Ut,layoutVertexBuffer:zt,indexBuffer:_t,uniformValues:Dt};if(we)for(var lr=Bt.segments.get(),_r=0,Br=lr;_r<Br.length;_r+=1){var Di=Br[_r];Ne.push({segments:new i.SegmentVector([Di]),sortKey:Di.sortKey,state:vt})}else Ne.push({segments:Bt.segments,sortKey:0,state:vt})}}we&&Ne.sort(function(co,ts){return co.sortKey-ts.sortKey});for(var ci=0,bi=Ne;ci<bi.length;ci+=1){var gn=bi[ci],tn=gn.state,Ei=tn.programConfiguration,Oi=tn.program,Gi=tn.layoutVertexBuffer,on=tn.indexBuffer,zn=tn.uniformValues,Ja=gn.segments;Oi.draw(Oe,ht.TRIANGLES,Yt,cr,Nt,wr.disabled,zn,J.id,Gi,on,Ja,J.paint,Y.transform.zoom,Ei)}}}}function Mt(Y,D,J,O){if(J.paint.get(\"heatmap-opacity\")!==0)if(Y.renderPass===\"offscreen\"){var K=Y.context,de=K.gl,ne=Vi.disabled,we=new wt([de.ONE,de.ONE],i.Color.transparent,[!0,!0,!0,!0]);Jt(K,Y,J),K.clear({color:i.Color.transparent});for(var Oe=0;Oe<O.length;Oe++){var ht=O[Oe];if(!D.hasRenderableParent(ht)){var Yt=D.getTile(ht),cr=Yt.getBucket(J);if(cr){var Nt=cr.programConfigurations.get(J.id),Ne=Y.useProgram(\"heatmap\",Nt),$e=Y.transform,st=$e.zoom;Ne.draw(K,de.TRIANGLES,An.disabled,ne,we,wr.disabled,an(ht.posMatrix,Yt,st,J.paint.get(\"heatmap-intensity\")),J.id,cr.layoutVertexBuffer,cr.indexBuffer,cr.segments,J.paint,Y.transform.zoom,Nt)}}}K.viewport.set([0,0,Y.width,Y.height])}else Y.renderPass===\"translucent\"&&(Y.context.setColorMode(Y.colorModeForRenderPass()),yr(Y,J))}function Jt(Y,D,J){var O=Y.gl;Y.activeTexture.set(O.TEXTURE1),Y.viewport.set([0,0,D.width/4,D.height/4]);var K=J.heatmapFbo;if(K)O.bindTexture(O.TEXTURE_2D,K.colorAttachment.get()),Y.bindFramebuffer.set(K.framebuffer);else{var de=O.createTexture();O.bindTexture(O.TEXTURE_2D,de),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_S,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_WRAP_T,O.CLAMP_TO_EDGE),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MIN_FILTER,O.LINEAR),O.texParameteri(O.TEXTURE_2D,O.TEXTURE_MAG_FILTER,O.LINEAR),K=J.heatmapFbo=Y.createFramebuffer(D.width/4,D.height/4,!1),$t(Y,D,de,K)}}function $t(Y,D,J,O){var K=Y.gl,de=Y.extRenderToTextureHalfFloat?Y.extTextureHalfFloat.HALF_FLOAT_OES:K.UNSIGNED_BYTE;K.texImage2D(K.TEXTURE_2D,0,K.RGBA,D.width/4,D.height/4,0,K.RGBA,de,null),O.colorAttachment.set(J)}function yr(Y,D){var J=Y.context,O=J.gl,K=D.heatmapFbo;if(K){J.activeTexture.set(O.TEXTURE0),O.bindTexture(O.TEXTURE_2D,K.colorAttachment.get()),J.activeTexture.set(O.TEXTURE1);var de=D.colorRampTexture;de||(de=D.colorRampTexture=new i.Texture(J,D.colorRamp,O.RGBA)),de.bind(O.LINEAR,O.CLAMP_TO_EDGE),Y.useProgram(\"heatmapTexture\").draw(J,O.TRIANGLES,An.disabled,Vi.disabled,Y.colorModeForRenderPass(),wr.disabled,Fi(Y,D,0,1),D.id,Y.viewportBuffer,Y.quadTriangleIndexBuffer,Y.viewportSegments,D.paint,Y.transform.zoom)}}function Cr(Y,D,J,O){if(Y.renderPass===\"translucent\"){var K=J.paint.get(\"line-opacity\"),de=J.paint.get(\"line-width\");if(!(K.constantOr(1)===0||de.constantOr(1)===0))for(var ne=Y.depthModeForSublayer(0,An.ReadOnly),we=Y.colorModeForRenderPass(),Oe=J.paint.get(\"line-dasharray\"),ht=J.paint.get(\"line-pattern\"),Yt=ht.constantOr(1),cr=J.paint.get(\"line-gradient\"),Nt=J.getCrossfadeParameters(),Ne=Yt?\"linePattern\":Oe?\"lineSDF\":cr?\"lineGradient\":\"line\",$e=Y.context,st=$e.gl,It=!0,Bt=0,Ft=O;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=D.getTile(Ut);if(!(Yt&&!zt.patternsLoaded())){var _t=zt.getBucket(J);if(_t){var Dt=_t.programConfigurations.get(J.id),vt=Y.context.program.get(),lr=Y.useProgram(Ne,Dt),_r=It||lr.program!==vt,Br=ht.constantOr(null);if(Br&&zt.imageAtlas){var Di=zt.imageAtlas,ci=Di.patternPositions[Br.to.toString()],bi=Di.patternPositions[Br.from.toString()];ci&&bi&&Dt.setConstantPatternPositions(ci,bi)}var gn=Yt?as(Y,zt,J,Nt):Oe?ws(Y,zt,J,Oe,Nt):cr?Ss(Y,zt,J,_t.lineClipsArray.length):Zo(Y,zt,J);if(Yt)$e.activeTexture.set(st.TEXTURE0),zt.imageAtlasTexture.bind(st.LINEAR,st.CLAMP_TO_EDGE),Dt.updatePaintBuffers(Nt);else if(Oe&&(_r||Y.lineAtlas.dirty))$e.activeTexture.set(st.TEXTURE0),Y.lineAtlas.bind($e);else if(cr){var tn=_t.gradients[J.id],Ei=tn.texture;if(J.gradientVersion!==tn.version){var Oi=256;if(J.stepInterpolant){var Gi=D.getSource().maxzoom,on=Ut.canonical.z===Gi?Math.ceil(1<<Y.transform.maxZoom-Ut.canonical.z):1,zn=_t.maxLineLength/i.EXTENT,Ja=1024,co=zn*Ja*on;Oi=i.clamp(i.nextPowerOfTwo(co),256,$e.maxTextureSize)}tn.gradient=i.renderColorRamp({expression:J.gradientExpression(),evaluationKey:\"lineProgress\",resolution:Oi,image:tn.gradient||void 0,clips:_t.lineClipsArray}),tn.texture?tn.texture.update(tn.gradient):tn.texture=new i.Texture($e,tn.gradient,st.RGBA),tn.version=J.gradientVersion,Ei=tn.texture}$e.activeTexture.set(st.TEXTURE0),Ei.bind(J.stepInterpolant?st.NEAREST:st.LINEAR,st.CLAMP_TO_EDGE)}lr.draw($e,st.TRIANGLES,ne,Y.stencilModeForClipping(Ut),we,wr.disabled,gn,J.id,_t.layoutVertexBuffer,_t.indexBuffer,_t.segments,J.paint,Y.transform.zoom,Dt,_t.layoutVertexBuffer2),It=!1}}}}}function ve(Y,D,J,O){var K=J.paint.get(\"fill-color\"),de=J.paint.get(\"fill-opacity\");if(de.constantOr(1)!==0){var ne=Y.colorModeForRenderPass(),we=J.paint.get(\"fill-pattern\"),Oe=Y.opaquePassEnabledForLayer()&&!we.constantOr(1)&&K.constantOr(i.Color.transparent).a===1&&de.constantOr(0)===1?\"opaque\":\"translucent\";if(Y.renderPass===Oe){var ht=Y.depthModeForSublayer(1,Y.renderPass===\"opaque\"?An.ReadWrite:An.ReadOnly);xe(Y,D,J,O,ht,ne,!1)}if(Y.renderPass===\"translucent\"&&J.paint.get(\"fill-antialias\")){var Yt=Y.depthModeForSublayer(J.getPaintProperty(\"fill-outline-color\")?2:0,An.ReadOnly);xe(Y,D,J,O,Yt,ne,!0)}}}function xe(Y,D,J,O,K,de,ne){var we=Y.context.gl,Oe=J.paint.get(\"fill-pattern\"),ht=Oe&&Oe.constantOr(1),Yt=J.getCrossfadeParameters(),cr,Nt,Ne,$e,st;ne?(Nt=ht&&!J.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",cr=we.LINES):(Nt=ht?\"fillPattern\":\"fill\",cr=we.TRIANGLES);for(var It=0,Bt=O;It<Bt.length;It+=1){var Ft=Bt[It],Ut=D.getTile(Ft);if(!(ht&&!Ut.patternsLoaded())){var zt=Ut.getBucket(J);if(zt){var _t=zt.programConfigurations.get(J.id),Dt=Y.useProgram(Nt,_t);ht&&(Y.context.activeTexture.set(we.TEXTURE0),Ut.imageAtlasTexture.bind(we.LINEAR,we.CLAMP_TO_EDGE),_t.updatePaintBuffers(Yt));var vt=Oe.constantOr(null);if(vt&&Ut.imageAtlas){var lr=Ut.imageAtlas,_r=lr.patternPositions[vt.to.toString()],Br=lr.patternPositions[vt.from.toString()];_r&&Br&&_t.setConstantPatternPositions(_r,Br)}var Di=Y.translatePosMatrix(Ft.posMatrix,Ut,J.paint.get(\"fill-translate\"),J.paint.get(\"fill-translate-anchor\"));if(!ne)$e=zt.indexBuffer,st=zt.segments,Ne=ht?ff(Di,Y,Yt,Ut):Oc(Di);else{$e=zt.indexBuffer2,st=zt.segments2;var ci=[we.drawingBufferWidth,we.drawingBufferHeight];Ne=Nt===\"fillOutlinePattern\"&&ht?Bc(Di,Y,Yt,Ut,ci):fc(Di,ci)}Dt.draw(Y.context,cr,K,Y.stencilModeForClipping(Ft),de,wr.disabled,Ne,J.id,zt.layoutVertexBuffer,$e,st,J.paint,Y.transform.zoom,_t)}}}}function Ie(Y,D,J,O){var K=J.paint.get(\"fill-extrusion-opacity\");if(K!==0&&Y.renderPass===\"translucent\"){var de=new An(Y.context.gl.LEQUAL,An.ReadWrite,Y.depthRangeFor3D);if(K===1&&!J.paint.get(\"fill-extrusion-pattern\").constantOr(1)){var ne=Y.colorModeForRenderPass();ze(Y,D,J,O,de,Vi.disabled,ne)}else ze(Y,D,J,O,de,Vi.disabled,wt.disabled),ze(Y,D,J,O,de,Y.stencilModeFor3D(),Y.colorModeForRenderPass())}}function ze(Y,D,J,O,K,de,ne){for(var we=Y.context,Oe=we.gl,ht=J.paint.get(\"fill-extrusion-pattern\"),Yt=ht.constantOr(1),cr=J.getCrossfadeParameters(),Nt=J.paint.get(\"fill-extrusion-opacity\"),Ne=0,$e=O;Ne<$e.length;Ne+=1){var st=$e[Ne],It=D.getTile(st),Bt=It.getBucket(J);if(Bt){var Ft=Bt.programConfigurations.get(J.id),Ut=Y.useProgram(Yt?\"fillExtrusionPattern\":\"fillExtrusion\",Ft);Yt&&(Y.context.activeTexture.set(Oe.TEXTURE0),It.imageAtlasTexture.bind(Oe.LINEAR,Oe.CLAMP_TO_EDGE),Ft.updatePaintBuffers(cr));var zt=ht.constantOr(null);if(zt&&It.imageAtlas){var _t=It.imageAtlas,Dt=_t.patternPositions[zt.to.toString()],vt=_t.patternPositions[zt.from.toString()];Dt&&vt&&Ft.setConstantPatternPositions(Dt,vt)}var lr=Y.translatePosMatrix(st.posMatrix,It,J.paint.get(\"fill-extrusion-translate\"),J.paint.get(\"fill-extrusion-translate-anchor\")),_r=J.paint.get(\"fill-extrusion-vertical-gradient\"),Br=Yt?Zu(lr,Y,_r,Nt,st,cr,It):ah(lr,Y,_r,Nt);Ut.draw(we,we.gl.TRIANGLES,K,de,ne,wr.backCCW,Br,J.id,Bt.layoutVertexBuffer,Bt.indexBuffer,Bt.segments,J.paint,Y.transform.zoom,Ft)}}}function Qe(Y,D,J,O){if(!(Y.renderPass!==\"offscreen\"&&Y.renderPass!==\"translucent\")){for(var K=Y.context,de=Y.depthModeForSublayer(0,An.ReadOnly),ne=Y.colorModeForRenderPass(),we=Y.renderPass===\"translucent\"?Y.stencilConfigForOverlap(O):[{},O],Oe=we[0],ht=we[1],Yt=0,cr=ht;Yt<cr.length;Yt+=1){var Nt=cr[Yt],Ne=D.getTile(Nt);Ne.needsHillshadePrepare&&Y.renderPass===\"offscreen\"?nt(Y,Ne,J,de,Vi.disabled,ne):Y.renderPass===\"translucent\"&&Xe(Y,Ne,J,de,Oe[Nt.overscaledZ],ne)}K.viewport.set([0,0,Y.width,Y.height])}}function Xe(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl,Oe=D.fbo;if(Oe){var ht=Y.useProgram(\"hillshade\");ne.activeTexture.set(we.TEXTURE0),we.bindTexture(we.TEXTURE_2D,Oe.colorAttachment.get());var Yt=Ra(Y,D,J);ht.draw(ne,we.TRIANGLES,O,K,de,wr.disabled,Yt,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function nt(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl,Oe=D.dem;if(Oe&&Oe.data){var ht=Oe.dim,Yt=Oe.stride,cr=Oe.getPixels();if(ne.activeTexture.set(we.TEXTURE1),ne.pixelStoreUnpackPremultiplyAlpha.set(!1),D.demTexture=D.demTexture||Y.getTileTexture(Yt),D.demTexture){var Nt=D.demTexture;Nt.update(cr,{premultiply:!1}),Nt.bind(we.NEAREST,we.CLAMP_TO_EDGE)}else D.demTexture=new i.Texture(ne,cr,we.RGBA,{premultiply:!1}),D.demTexture.bind(we.NEAREST,we.CLAMP_TO_EDGE);ne.activeTexture.set(we.TEXTURE0);var Ne=D.fbo;if(!Ne){var $e=new i.Texture(ne,{width:ht,height:ht,data:null},we.RGBA);$e.bind(we.LINEAR,we.CLAMP_TO_EDGE),Ne=D.fbo=ne.createFramebuffer(ht,ht,!0),Ne.colorAttachment.set($e.texture)}ne.bindFramebuffer.set(Ne.framebuffer),ne.viewport.set([0,0,ht,ht]),Y.useProgram(\"hillshadePrepare\").draw(ne,we.TRIANGLES,O,K,de,wr.disabled,La(D.tileID,Oe),J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments),D.needsHillshadePrepare=!1}}function qt(Y,D,J,O){if(Y.renderPass===\"translucent\"&&J.paint.get(\"raster-opacity\")!==0&&O.length)for(var K=Y.context,de=K.gl,ne=D.getSource(),we=Y.useProgram(\"raster\"),Oe=Y.colorModeForRenderPass(),ht=ne instanceof Ce?[{},O]:Y.stencilConfigForOverlap(O),Yt=ht[0],cr=ht[1],Nt=cr[cr.length-1].overscaledZ,Ne=!Y.options.moving,$e=0,st=cr;$e<st.length;$e+=1){var It=st[$e],Bt=Y.depthModeForSublayer(It.overscaledZ-Nt,J.paint.get(\"raster-opacity\")===1?An.ReadWrite:An.ReadOnly,de.LESS),Ft=D.getTile(It),Ut=Y.transform.calculatePosMatrix(It.toUnwrapped(),Ne);Ft.registerFadeDuration(J.paint.get(\"raster-fade-duration\"));var zt=D.findLoadedParent(It,0),_t=Wt(Ft,zt,D,J,Y.transform),Dt=void 0,vt=void 0,lr=J.paint.get(\"raster-resampling\")===\"nearest\"?de.NEAREST:de.LINEAR;K.activeTexture.set(de.TEXTURE0),Ft.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),K.activeTexture.set(de.TEXTURE1),zt?(zt.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST),Dt=Math.pow(2,zt.tileID.overscaledZ-Ft.tileID.overscaledZ),vt=[Ft.tileID.canonical.x*Dt%1,Ft.tileID.canonical.y*Dt%1]):Ft.texture.bind(lr,de.CLAMP_TO_EDGE,de.LINEAR_MIPMAP_NEAREST);var _r=Ls(Ut,vt||[0,0],Dt||1,_t,J);ne instanceof Ce?we.draw(K,de.TRIANGLES,Bt,Vi.disabled,Oe,wr.disabled,_r,J.id,ne.boundsBuffer,Y.quadTriangleIndexBuffer,ne.boundsSegments):we.draw(K,de.TRIANGLES,Bt,Yt[It.overscaledZ],Oe,wr.disabled,_r,J.id,Y.rasterBoundsBuffer,Y.quadTriangleIndexBuffer,Y.rasterBoundsSegments)}}function Wt(Y,D,J,O,K){var de=O.paint.get(\"raster-fade-duration\");if(de>0){var ne=i.browser.now(),we=(ne-Y.timeAdded)/de,Oe=D?(ne-D.timeAdded)/de:-1,ht=J.getSource(),Yt=K.coveringZoomLevel({tileSize:ht.tileSize,roundZoom:ht.roundZoom}),cr=!D||Math.abs(D.tileID.overscaledZ-Yt)>Math.abs(Y.tileID.overscaledZ-Yt),Nt=cr&&Y.refreshedUponExpiration?1:i.clamp(cr?we:1-Oe,0,1);return Y.refreshedUponExpiration&&we>=1&&(Y.refreshedUponExpiration=!1),D?{opacity:1,mix:1-Nt}:{opacity:Nt,mix:0}}else return{opacity:1,mix:0}}function nr(Y,D,J){var O=J.paint.get(\"background-color\"),K=J.paint.get(\"background-opacity\");if(K!==0){var de=Y.context,ne=de.gl,we=Y.transform,Oe=we.tileSize,ht=J.paint.get(\"background-pattern\");if(!Y.isPatternMissing(ht)){var Yt=!ht&&O.a===1&&K===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Yt){var cr=Vi.disabled,Nt=Y.depthModeForSublayer(0,Yt===\"opaque\"?An.ReadWrite:An.ReadOnly),Ne=Y.colorModeForRenderPass(),$e=Y.useProgram(ht?\"backgroundPattern\":\"background\"),st=we.coveringTiles({tileSize:Oe});ht&&(de.activeTexture.set(ne.TEXTURE0),Y.imageManager.bind(Y.context));for(var It=J.getCrossfadeParameters(),Bt=0,Ft=st;Bt<Ft.length;Bt+=1){var Ut=Ft[Bt],zt=Y.transform.calculatePosMatrix(Ut.toUnwrapped()),_t=ht?Va(zt,K,Y,ht,{tileID:Ut,tileSize:Oe},It):Ac(zt,K,O);$e.draw(de,ne.TRIANGLES,Nt,cr,Ne,wr.disabled,_t,J.id,Y.tileExtentBuffer,Y.quadTriangleIndexBuffer,Y.tileExtentSegments)}}}}}var fr=new i.Color(1,0,0,1),br=new i.Color(0,1,0,1),Fr=new i.Color(0,0,1,1),Hr=new i.Color(1,0,1,1),ri=new i.Color(0,1,1,1);function Ci(Y){var D=Y.transform.padding,J=3;sn(Y,Y.transform.height-(D.top||0),J,fr),sn(Y,D.bottom||0,J,br),Ln(Y,D.left||0,J,Fr),Ln(Y,Y.transform.width-(D.right||0),J,Hr);var O=Y.transform.centerPoint;cn(Y,O.x,Y.transform.height-O.y,ri)}function cn(Y,D,J,O){var K=20,de=2;Kn(Y,D-de/2,J-K/2,de,K,O),Kn(Y,D-K/2,J-de/2,K,de,O)}function sn(Y,D,J,O){Kn(Y,0,D+J/2,Y.transform.width,J,O)}function Ln(Y,D,J,O){Kn(Y,D-J/2,0,J,Y.transform.height,O)}function Kn(Y,D,J,O,K,de){var ne=Y.context,we=ne.gl;we.enable(we.SCISSOR_TEST),we.scissor(D*i.browser.devicePixelRatio,J*i.browser.devicePixelRatio,O*i.browser.devicePixelRatio,K*i.browser.devicePixelRatio),ne.clear({color:de}),we.disable(we.SCISSOR_TEST)}function Aa(Y,D,J){for(var O=0;O<J.length;O++)fa(Y,D,J[O])}function fa(Y,D,J){var O=Y.context,K=O.gl,de=J.posMatrix,ne=Y.useProgram(\"debug\"),we=An.disabled,Oe=Vi.disabled,ht=Y.colorModeForRenderPass(),Yt=\"$debug\";O.activeTexture.set(K.TEXTURE0),Y.emptyTexture.bind(K.LINEAR,K.CLAMP_TO_EDGE),ne.draw(O,K.LINE_STRIP,we,Oe,ht,wr.disabled,dn(de,i.Color.red),Yt,Y.debugBuffer,Y.tileBorderIndexBuffer,Y.debugSegments);var cr=D.getTileByID(J.key).latestRawTileData,Nt=cr&&cr.byteLength||0,Ne=Math.floor(Nt/1024),$e=D.getTile(J).tileSize,st=512/Math.min($e,512)*(J.overscaledZ/Y.transform.zoom)*.5,It=J.canonical.toString();J.overscaledZ!==J.canonical.z&&(It+=\" => \"+J.overscaledZ);var Bt=It+\" \"+Ne+\"kb\";$a(Y,Bt),ne.draw(O,K.TRIANGLES,we,Oe,wt.alphaBlended,wr.disabled,dn(de,i.Color.transparent,st),Yt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function $a(Y,D){Y.initDebugOverlayCanvas();var J=Y.debugOverlayCanvas,O=Y.context.gl,K=Y.debugOverlayCanvas.getContext(\"2d\");K.clearRect(0,0,J.width,J.height),K.shadowColor=\"white\",K.shadowBlur=2,K.lineWidth=1.5,K.strokeStyle=\"white\",K.textBaseline=\"top\",K.font=\"bold 36px Open Sans, sans-serif\",K.fillText(D,5,5),K.strokeText(D,5,5),Y.debugOverlayTexture.update(J),Y.debugOverlayTexture.bind(O.LINEAR,O.CLAMP_TO_EDGE)}function Co(Y,D,J){var O=Y.context,K=J.implementation;if(Y.renderPass===\"offscreen\"){var de=K.prerender;de&&(Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),de.call(K,O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),O.setStencilMode(Vi.disabled);var ne=K.renderingMode===\"3d\"?new An(Y.context.gl.LEQUAL,An.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,An.ReadOnly);O.setDepthMode(ne),K.render(O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState(),O.bindFramebuffer.set(null)}}var Qa={symbol:w,circle:ut,heatmap:Mt,line:Cr,fill:ve,\"fill-extrusion\":Ie,hillshade:Qe,raster:qt,background:nr,debug:Aa,custom:Co},mo=function(D,J){this.context=new Xr(D),this.transform=J,this._tileTextures={},this.setup(),this.numSublayers=ti.maxUnderzooming+ti.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Vf,this.gpuTimers={}};mo.prototype.resize=function(D,J){if(this.width=D*i.browser.devicePixelRatio,this.height=J*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var O=0,K=this.style._order;O<K.length;O+=1){var de=K[O];this.style._layers[de].resize()}},mo.prototype.setup=function(){var D=this.context,J=new i.StructArrayLayout2i4;J.emplaceBack(0,0),J.emplaceBack(i.EXTENT,0),J.emplaceBack(0,i.EXTENT),J.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=D.createVertexBuffer(J,oc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var O=new i.StructArrayLayout2i4;O.emplaceBack(0,0),O.emplaceBack(i.EXTENT,0),O.emplaceBack(0,i.EXTENT),O.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=D.createVertexBuffer(O,oc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var K=new i.StructArrayLayout4i8;K.emplaceBack(0,0,0,0),K.emplaceBack(i.EXTENT,0,i.EXTENT,0),K.emplaceBack(0,i.EXTENT,0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=D.createVertexBuffer(K,Ee.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout2i4;de.emplaceBack(0,0),de.emplaceBack(1,0),de.emplaceBack(0,1),de.emplaceBack(1,1),this.viewportBuffer=D.createVertexBuffer(de,oc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var ne=new i.StructArrayLayout1ui2;ne.emplaceBack(0),ne.emplaceBack(1),ne.emplaceBack(3),ne.emplaceBack(2),ne.emplaceBack(0),this.tileBorderIndexBuffer=D.createIndexBuffer(ne);var we=new i.StructArrayLayout3ui6;we.emplaceBack(0,1,2),we.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=D.createIndexBuffer(we),this.emptyTexture=new i.Texture(D,{width:1,height:1,data:new Uint8Array([0,0,0,0])},D.gl.RGBA);var Oe=this.context.gl;this.stencilClearMode=new Vi({func:Oe.ALWAYS,mask:0},0,255,Oe.ZERO,Oe.ZERO,Oe.ZERO)},mo.prototype.clearStencil=function(){var D=this.context,J=D.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var O=i.create();i.ortho(O,0,this.width,this.height,0,0,1),i.scale(O,O,[J.drawingBufferWidth,J.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(D,J.TRIANGLES,An.disabled,this.stencilClearMode,wt.disabled,wr.disabled,On(O),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},mo.prototype._renderTileClippingMasks=function(D,J){if(!(this.currentStencilSource===D.source||!D.isTileClipped()||!J||!J.length)){this.currentStencilSource=D.source;var O=this.context,K=O.gl;this.nextStencilID+J.length>256&&this.clearStencil(),O.setColorMode(wt.disabled),O.setDepthMode(An.disabled);var de=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var ne=0,we=J;ne<we.length;ne+=1){var Oe=we[ne],ht=this._tileClippingMaskIDs[Oe.key]=this.nextStencilID++;de.draw(O,K.TRIANGLES,An.disabled,new Vi({func:K.ALWAYS,mask:0},ht,255,K.KEEP,K.KEEP,K.REPLACE),wt.disabled,wr.disabled,On(Oe.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},mo.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var D=this.nextStencilID++,J=this.context.gl;return new Vi({func:J.NOTEQUAL,mask:255},D,255,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilModeForClipping=function(D){var J=this.context.gl;return new Vi({func:J.EQUAL,mask:255},this._tileClippingMaskIDs[D.key],0,J.KEEP,J.KEEP,J.REPLACE)},mo.prototype.stencilConfigForOverlap=function(D){var J,O=this.context.gl,K=D.sort(function(ht,Yt){return Yt.overscaledZ-ht.overscaledZ}),de=K[K.length-1].overscaledZ,ne=K[0].overscaledZ-de+1;if(ne>1){this.currentStencilSource=void 0,this.nextStencilID+ne>256&&this.clearStencil();for(var we={},Oe=0;Oe<ne;Oe++)we[Oe+de]=new Vi({func:O.GEQUAL,mask:255},Oe+this.nextStencilID,255,O.KEEP,O.KEEP,O.REPLACE);return this.nextStencilID+=ne,[we,K]}return[(J={},J[de]=Vi.disabled,J),K]},mo.prototype.colorModeForRenderPass=function(){var D=this.context.gl;if(this._showOverdrawInspector){var J=8,O=1/J;return new wt([D.CONSTANT_COLOR,D.ONE],new i.Color(O,O,O,0),[!0,!0,!0,!0])}else return this.renderPass===\"opaque\"?wt.unblended:wt.alphaBlended},mo.prototype.depthModeForSublayer=function(D,J,O){if(!this.opaquePassEnabledForLayer())return An.disabled;var K=1-((1+this.currentLayer)*this.numSublayers+D)*this.depthEpsilon;return new An(O||this.context.gl.LEQUAL,J,[K,K])},mo.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},mo.prototype.render=function(D,J){var O=this;this.style=D,this.options=J,this.lineAtlas=D.lineAtlas,this.imageManager=D.imageManager,this.glyphManager=D.glyphManager,this.symbolFadeChange=D.placement.symbolFadeChange(i.browser.now()),this.imageManager.beginFrame();var K=this.style._order,de=this.style.sourceCaches;for(var ne in de){var we=de[ne];we.used&&we.prepare(this.context)}var Oe={},ht={},Yt={};for(var cr in de){var Nt=de[cr];Oe[cr]=Nt.getVisibleCoordinates(),ht[cr]=Oe[cr].slice().reverse(),Yt[cr]=Nt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var Ne=0;Ne<K.length;Ne++){var $e=K[Ne];if(this.style._layers[$e].is3D()){this.opaquePassCutoff=Ne;break}}this.renderPass=\"offscreen\";for(var st=0,It=K;st<It.length;st+=1){var Bt=It[st],Ft=this.style._layers[Bt];if(!(!Ft.hasOffscreenPass()||Ft.isHidden(this.transform.zoom))){var Ut=ht[Ft.source];Ft.type!==\"custom\"&&!Ut.length||this.renderLayer(this,de[Ft.source],Ft,Ut)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:J.showOverdrawInspector?i.Color.black:i.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=J.showOverdrawInspector,this.depthRangeFor3D=[0,1-(D._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=K.length-1;this.currentLayer>=0;this.currentLayer--){var zt=this.style._layers[K[this.currentLayer]],_t=de[zt.source],Dt=Oe[zt.source];this._renderTileClippingMasks(zt,Dt),this.renderLayer(this,_t,zt,Dt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<K.length;this.currentLayer++){var vt=this.style._layers[K[this.currentLayer]],lr=de[vt.source],_r=(vt.type===\"symbol\"?Yt:ht)[vt.source];this._renderTileClippingMasks(vt,Oe[vt.source]),this.renderLayer(this,lr,vt,_r)}if(this.options.showTileBoundaries){var Br,Di,ci=i.values(this.style._layers);ci.forEach(function(bi){bi.source&&!bi.isHidden(O.transform.zoom)&&(bi.source!==(Di&&Di.id)&&(Di=O.style.sourceCaches[bi.source]),(!Br||Br.getSource().maxzoom<Di.getSource().maxzoom)&&(Br=Di))}),Br&&Qa.debug(this,Br,Br.getVisibleCoordinates())}this.options.showPadding&&Ci(this),this.context.setDefault()},mo.prototype.renderLayer=function(D,J,O,K){O.isHidden(this.transform.zoom)||O.type!==\"background\"&&O.type!==\"custom\"&&!K.length||(this.id=O.id,this.gpuTimingStart(O),Qa[O.type](D,J,O,K,this.style.placement.variableOffsets),this.gpuTimingEnd())},mo.prototype.gpuTimingStart=function(D){if(this.options.gpuTiming){var J=this.context.extTimerQuery,O=this.gpuTimers[D.id];O||(O=this.gpuTimers[D.id]={calls:0,cpuTime:0,query:J.createQueryEXT()}),O.calls++,J.beginQueryEXT(J.TIME_ELAPSED_EXT,O.query)}},mo.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var D=this.context.extTimerQuery;D.endQueryEXT(D.TIME_ELAPSED_EXT)}},mo.prototype.collectGpuTimers=function(){var D=this.gpuTimers;return this.gpuTimers={},D},mo.prototype.queryGpuTimers=function(D){var J={};for(var O in D){var K=D[O],de=this.context.extTimerQuery,ne=de.getQueryObjectEXT(K.query,de.QUERY_RESULT_EXT)/(1e3*1e3);de.deleteQueryEXT(K.query),J[O]=ne}return J},mo.prototype.translatePosMatrix=function(D,J,O,K,de){if(!O[0]&&!O[1])return D;var ne=de?K===\"map\"?this.transform.angle:0:K===\"viewport\"?-this.transform.angle:0;if(ne){var we=Math.sin(ne),Oe=Math.cos(ne);O=[O[0]*Oe-O[1]*we,O[0]*we+O[1]*Oe]}var ht=[de?O[0]:As(J,O[0],this.transform.zoom),de?O[1]:As(J,O[1],this.transform.zoom),0],Yt=new Float32Array(16);return i.translate(Yt,D,ht),Yt},mo.prototype.saveTileTexture=function(D){var J=this._tileTextures[D.size[0]];J?J.push(D):this._tileTextures[D.size[0]]=[D]},mo.prototype.getTileTexture=function(D){var J=this._tileTextures[D];return J&&J.length>0?J.pop():null},mo.prototype.isPatternMissing=function(D){if(!D)return!1;if(!D.from||!D.to)return!0;var J=this.imageManager.getPattern(D.from.toString()),O=this.imageManager.getPattern(D.to.toString());return!J||!O},mo.prototype.useProgram=function(D,J){this.cache=this.cache||{};var O=\"\"+D+(J?J.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[O]||(this.cache[O]=new Rf(this.context,D,wf[D],J,oo[D],this._showOverdrawInspector)),this.cache[O]},mo.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},mo.prototype.setBaseState=function(){var D=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(D.FUNC_ADD)},mo.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var D=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,D.RGBA)}},mo.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Bo=function(D,J){this.points=D,this.planes=J};Bo.fromInvProjectionMatrix=function(D,J,O){var K=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],de=Math.pow(2,O),ne=K.map(function(ht){return i.transformMat4([],ht,D)}).map(function(ht){return i.scale$1([],ht,1/ht[3]/J*de)}),we=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],Oe=we.map(function(ht){var Yt=i.sub([],ne[ht[0]],ne[ht[1]]),cr=i.sub([],ne[ht[2]],ne[ht[1]]),Nt=i.normalize([],i.cross([],Yt,cr)),Ne=-i.dot(Nt,ne[ht[1]]);return Nt.concat(Ne)});return new Bo(ne,Oe)};var Ps=function(D,J){this.min=D,this.max=J,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ps.prototype.quadrant=function(D){for(var J=[D%2===0,D<2],O=i.clone$2(this.min),K=i.clone$2(this.max),de=0;de<J.length;de++)O[de]=J[de]?this.min[de]:this.center[de],K[de]=J[de]?this.center[de]:this.max[de];return K[2]=this.max[2],new Ps(O,K)},Ps.prototype.distanceX=function(D){var J=Math.max(Math.min(this.max[0],D[0]),this.min[0]);return J-D[0]},Ps.prototype.distanceY=function(D){var J=Math.max(Math.min(this.max[1],D[1]),this.min[1]);return J-D[1]},Ps.prototype.intersects=function(D){for(var J=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],O=!0,K=0;K<D.planes.length;K++){for(var de=D.planes[K],ne=0,we=0;we<J.length;we++)ne+=i.dot$1(de,J[we])>=0;if(ne===0)return 0;ne!==J.length&&(O=!1)}if(O)return 2;for(var Oe=0;Oe<3;Oe++){for(var ht=Number.MAX_VALUE,Yt=-Number.MAX_VALUE,cr=0;cr<D.points.length;cr++){var Nt=D.points[cr][Oe]-this.min[Oe];ht=Math.min(ht,Nt),Yt=Math.max(Yt,Nt)}if(Yt<0||ht>this.max[Oe]-this.min[Oe])return 0}return 1};var Ts=function(D,J,O,K){if(D===void 0&&(D=0),J===void 0&&(J=0),O===void 0&&(O=0),K===void 0&&(K=0),isNaN(D)||D<0||isNaN(J)||J<0||isNaN(O)||O<0||isNaN(K)||K<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=D,this.bottom=J,this.left=O,this.right=K};Ts.prototype.interpolate=function(D,J,O){return J.top!=null&&D.top!=null&&(this.top=i.number(D.top,J.top,O)),J.bottom!=null&&D.bottom!=null&&(this.bottom=i.number(D.bottom,J.bottom,O)),J.left!=null&&D.left!=null&&(this.left=i.number(D.left,J.left,O)),J.right!=null&&D.right!=null&&(this.right=i.number(D.right,J.right,O)),this},Ts.prototype.getCenter=function(D,J){var O=i.clamp((this.left+D-this.right)/2,0,D),K=i.clamp((this.top+J-this.bottom)/2,0,J);return new i.Point(O,K)},Ts.prototype.equals=function(D){return this.top===D.top&&this.bottom===D.bottom&&this.left===D.left&&this.right===D.right},Ts.prototype.clone=function(){return new Ts(this.top,this.bottom,this.left,this.right)},Ts.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wo=function(D,J,O,K,de){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=de===void 0?!0:de,this._minZoom=D||0,this._maxZoom=J||22,this._minPitch=O==null?0:O,this._maxPitch=K==null?60:K,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ts,this._posMatrixCache={},this._alignedPosMatrixCache={}},To={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wo.prototype.clone=function(){var D=new wo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return D.tileSize=this.tileSize,D.latRange=this.latRange,D.width=this.width,D.height=this.height,D._center=this._center,D.zoom=this.zoom,D.angle=this.angle,D._fov=this._fov,D._pitch=this._pitch,D._unmodified=this._unmodified,D._edgeInsets=this._edgeInsets.clone(),D._calcMatrices(),D},To.minZoom.get=function(){return this._minZoom},To.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},To.maxZoom.get=function(){return this._maxZoom},To.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},To.minPitch.get=function(){return this._minPitch},To.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},To.maxPitch.get=function(){return this._maxPitch},To.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},To.renderWorldCopies.get=function(){return this._renderWorldCopies},To.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},To.worldSize.get=function(){return this.tileSize*this.scale},To.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},To.size.get=function(){return new i.Point(this.width,this.height)},To.bearing.get=function(){return-this.angle/Math.PI*180},To.bearing.set=function(Y){var D=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==D&&(this._unmodified=!1,this.angle=D,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},To.pitch.get=function(){return this._pitch/Math.PI*180},To.pitch.set=function(Y){var D=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==D&&(this._unmodified=!1,this._pitch=D,this._calcMatrices())},To.fov.get=function(){return this._fov/Math.PI*180},To.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},To.zoom.get=function(){return this._zoom},To.zoom.set=function(Y){var D=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==D&&(this._unmodified=!1,this._zoom=D,this.scale=this.zoomScale(D),this.tileZoom=Math.floor(D),this.zoomFraction=D-this.tileZoom,this._constrain(),this._calcMatrices())},To.center.get=function(){return this._center},To.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},To.padding.get=function(){return this._edgeInsets.toJSON()},To.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},To.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wo.prototype.isPaddingEqual=function(D){return this._edgeInsets.equals(D)},wo.prototype.interpolatePadding=function(D,J,O){this._unmodified=!1,this._edgeInsets.interpolate(D,J,O),this._constrain(),this._calcMatrices()},wo.prototype.coveringZoomLevel=function(D){var J=(D.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/D.tileSize));return Math.max(0,J)},wo.prototype.getVisibleUnwrappedCoordinates=function(D){var J=[new i.UnwrappedTileID(0,D)];if(this._renderWorldCopies)for(var O=this.pointCoordinate(new i.Point(0,0)),K=this.pointCoordinate(new i.Point(this.width,0)),de=this.pointCoordinate(new i.Point(this.width,this.height)),ne=this.pointCoordinate(new i.Point(0,this.height)),we=Math.floor(Math.min(O.x,K.x,de.x,ne.x)),Oe=Math.floor(Math.max(O.x,K.x,de.x,ne.x)),ht=1,Yt=we-ht;Yt<=Oe+ht;Yt++)Yt!==0&&J.push(new i.UnwrappedTileID(Yt,D));return J},wo.prototype.coveringTiles=function(D){var J=this.coveringZoomLevel(D),O=J;if(D.minzoom!==void 0&&J<D.minzoom)return[];D.maxzoom!==void 0&&J>D.maxzoom&&(J=D.maxzoom);var K=i.MercatorCoordinate.fromLngLat(this.center),de=Math.pow(2,J),ne=[de*K.x,de*K.y,0],we=Bo.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,J),Oe=D.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(Oe=J);var ht=3,Yt=function(ci){return{aabb:new Ps([ci*de,0,0],[(ci+1)*de,de,0]),zoom:0,x:0,y:0,wrap:ci,fullyVisible:!1}},cr=[],Nt=[],Ne=J,$e=D.reparseOverscaled?O:J;if(this._renderWorldCopies)for(var st=1;st<=3;st++)cr.push(Yt(-st)),cr.push(Yt(st));for(cr.push(Yt(0));cr.length>0;){var It=cr.pop(),Bt=It.x,Ft=It.y,Ut=It.fullyVisible;if(!Ut){var zt=It.aabb.intersects(we);if(zt===0)continue;Ut=zt===2}var _t=It.aabb.distanceX(ne),Dt=It.aabb.distanceY(ne),vt=Math.max(Math.abs(_t),Math.abs(Dt)),lr=ht+(1<<Ne-It.zoom)-2;if(It.zoom===Ne||vt>lr&&It.zoom>=Oe){Nt.push({tileID:new i.OverscaledTileID(It.zoom===Ne?$e:It.zoom,It.wrap,It.zoom,Bt,Ft),distanceSq:i.sqrLen([ne[0]-.5-Bt,ne[1]-.5-Ft])});continue}for(var _r=0;_r<4;_r++){var Br=(Bt<<1)+_r%2,Di=(Ft<<1)+(_r>>1);cr.push({aabb:It.aabb.quadrant(_r),zoom:It.zoom+1,x:Br,y:Di,wrap:It.wrap,fullyVisible:Ut})}}return Nt.sort(function(ci,bi){return ci.distanceSq-bi.distanceSq}).map(function(ci){return ci.tileID})},wo.prototype.resize=function(D,J){this.width=D,this.height=J,this.pixelsToGLUnits=[2/D,-2/J],this._constrain(),this._calcMatrices()},To.unmodified.get=function(){return this._unmodified},wo.prototype.zoomScale=function(D){return Math.pow(2,D)},wo.prototype.scaleZoom=function(D){return Math.log(D)/Math.LN2},wo.prototype.project=function(D){var J=i.clamp(D.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(D.lng)*this.worldSize,i.mercatorYfromLat(J)*this.worldSize)},wo.prototype.unproject=function(D){return new i.MercatorCoordinate(D.x/this.worldSize,D.y/this.worldSize).toLngLat()},To.point.get=function(){return this.project(this.center)},wo.prototype.setLocationAtPoint=function(D,J){var O=this.pointCoordinate(J),K=this.pointCoordinate(this.centerPoint),de=this.locationCoordinate(D),ne=new i.MercatorCoordinate(de.x-(O.x-K.x),de.y-(O.y-K.y));this.center=this.coordinateLocation(ne),this._renderWorldCopies&&(this.center=this.center.wrap())},wo.prototype.locationPoint=function(D){return this.coordinatePoint(this.locationCoordinate(D))},wo.prototype.pointLocation=function(D){return this.coordinateLocation(this.pointCoordinate(D))},wo.prototype.locationCoordinate=function(D){return i.MercatorCoordinate.fromLngLat(D)},wo.prototype.coordinateLocation=function(D){return D.toLngLat()},wo.prototype.pointCoordinate=function(D){var J=0,O=[D.x,D.y,0,1],K=[D.x,D.y,1,1];i.transformMat4(O,O,this.pixelMatrixInverse),i.transformMat4(K,K,this.pixelMatrixInverse);var de=O[3],ne=K[3],we=O[0]/de,Oe=K[0]/ne,ht=O[1]/de,Yt=K[1]/ne,cr=O[2]/de,Nt=K[2]/ne,Ne=cr===Nt?0:(J-cr)/(Nt-cr);return new i.MercatorCoordinate(i.number(we,Oe,Ne)/this.worldSize,i.number(ht,Yt,Ne)/this.worldSize)},wo.prototype.coordinatePoint=function(D){var J=[D.x*this.worldSize,D.y*this.worldSize,0,1];return i.transformMat4(J,J,this.pixelMatrix),new i.Point(J[0]/J[3],J[1]/J[3])},wo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},wo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},wo.prototype.setMaxBounds=function(D){D?(this.lngRange=[D.getWest(),D.getEast()],this.latRange=[D.getSouth(),D.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wo.prototype.calculatePosMatrix=function(D,J){J===void 0&&(J=!1);var O=D.key,K=J?this._alignedPosMatrixCache:this._posMatrixCache;if(K[O])return K[O];var de=D.canonical,ne=this.worldSize/this.zoomScale(de.z),we=de.x+Math.pow(2,de.z)*D.wrap,Oe=i.identity(new Float64Array(16));return i.translate(Oe,Oe,[we*ne,de.y*ne,0]),i.scale(Oe,Oe,[ne/i.EXTENT,ne/i.EXTENT,1]),i.multiply(Oe,J?this.alignedProjMatrix:this.projMatrix,Oe),K[O]=new Float32Array(Oe),K[O]},wo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var D=-90,J=90,O=-180,K=180,de,ne,we,Oe,ht=this.size,Yt=this._unmodified;if(this.latRange){var cr=this.latRange;D=i.mercatorYfromLat(cr[1])*this.worldSize,J=i.mercatorYfromLat(cr[0])*this.worldSize,de=J-D<ht.y?ht.y/(J-D):0}if(this.lngRange){var Nt=this.lngRange;O=i.mercatorXfromLng(Nt[0])*this.worldSize,K=i.mercatorXfromLng(Nt[1])*this.worldSize,ne=K-O<ht.x?ht.x/(K-O):0}var Ne=this.point,$e=Math.max(ne||0,de||0);if($e){this.center=this.unproject(new i.Point(ne?(K+O)/2:Ne.x,de?(J+D)/2:Ne.y)),this.zoom+=this.scaleZoom($e),this._unmodified=Yt,this._constraining=!1;return}if(this.latRange){var st=Ne.y,It=ht.y/2;st-It<D&&(Oe=D+It),st+It>J&&(Oe=J-It)}if(this.lngRange){var Bt=Ne.x,Ft=ht.x/2;Bt-Ft<O&&(we=O+Ft),Bt+Ft>K&&(we=K-Ft)}(we!==void 0||Oe!==void 0)&&(this.center=this.unproject(new i.Point(we!==void 0?we:Ne.x,Oe!==void 0?Oe:Ne.y))),this._unmodified=Yt,this._constraining=!1}},wo.prototype._calcMatrices=function(){if(this.height){var D=this._fov/2,J=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(D)*this.height;var O=Math.PI/2+this._pitch,K=this._fov*(.5+J.y/this.height),de=Math.sin(K)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-O-K,.01,Math.PI-.01)),ne=this.point,we=ne.x,Oe=ne.y,ht=Math.cos(Math.PI/2-this._pitch)*de+this.cameraToCenterDistance,Yt=ht*1.01,cr=this.height/50,Nt=new Float64Array(16);i.perspective(Nt,this._fov,this.width/this.height,cr,Yt),Nt[8]=-J.x*2/this.width,Nt[9]=J.y*2/this.height,i.scale(Nt,Nt,[1,-1,1]),i.translate(Nt,Nt,[0,0,-this.cameraToCenterDistance]),i.rotateX(Nt,Nt,this._pitch),i.rotateZ(Nt,Nt,this.angle),i.translate(Nt,Nt,[-we,-Oe,0]),this.mercatorMatrix=i.scale([],Nt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(Nt,Nt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=Nt,this.invProjMatrix=i.invert([],this.projMatrix);var Ne=this.width%2/2,$e=this.height%2/2,st=Math.cos(this.angle),It=Math.sin(this.angle),Bt=we-Math.round(we)+st*Ne+It*$e,Ft=Oe-Math.round(Oe)+st*$e+It*Ne,Ut=new Float64Array(Nt);if(i.translate(Ut,Ut,[Bt>.5?Bt-1:Bt,Ft>.5?Ft-1:Ft,0]),this.alignedProjMatrix=Ut,Nt=i.create(),i.scale(Nt,Nt,[this.width/2,-this.height/2,1]),i.translate(Nt,Nt,[1,-1,0]),this.labelPlaneMatrix=Nt,Nt=i.create(),i.scale(Nt,Nt,[1,-1,1]),i.translate(Nt,Nt,[-1,-1,0]),i.scale(Nt,Nt,[2/this.width,2/this.height,1]),this.glCoordMatrix=Nt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),Nt=i.invert(new Float64Array(16),this.pixelMatrix),!Nt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Nt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var D=this.pointCoordinate(new i.Point(0,0)),J=[D.x*this.worldSize,D.y*this.worldSize,0,1],O=i.transformMat4(J,J,this.pixelMatrix);return O[3]/this.cameraToCenterDistance},wo.prototype.getCameraPoint=function(){var D=this._pitch,J=Math.tan(D)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,J))},wo.prototype.getCameraQueryGeometry=function(D){var J=this.getCameraPoint();if(D.length===1)return[D[0],J];for(var O=J.x,K=J.y,de=J.x,ne=J.y,we=0,Oe=D;we<Oe.length;we+=1){var ht=Oe[we];O=Math.min(O,ht.x),K=Math.min(K,ht.y),de=Math.max(de,ht.x),ne=Math.max(ne,ht.y)}return[new i.Point(O,K),new i.Point(de,K),new i.Point(de,ne),new i.Point(O,ne),new i.Point(O,K)]},Object.defineProperties(wo.prototype,To);function hl(Y,D){var J=!1,O=null,K=function(){O=null,J&&(Y(),O=setTimeout(K,D),J=!1)};return function(){return J=!0,O||K(),O}}var Nl=function(D){this._hashName=D&&encodeURIComponent(D),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=hl(this._updateHashUnthrottled.bind(this),30*1e3/100)};Nl.prototype.addTo=function(D){return this._map=D,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Nl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Nl.prototype.getHashString=function(D){var J=this._map.getCenter(),O=Math.round(this._map.getZoom()*100)/100,K=Math.ceil((O*Math.LN2+Math.log(512/360/.5))/Math.LN10),de=Math.pow(10,K),ne=Math.round(J.lng*de)/de,we=Math.round(J.lat*de)/de,Oe=this._map.getBearing(),ht=this._map.getPitch(),Yt=\"\";if(D?Yt+=\"/\"+ne+\"/\"+we+\"/\"+O:Yt+=O+\"/\"+we+\"/\"+ne,(Oe||ht)&&(Yt+=\"/\"+Math.round(Oe*10)/10),ht&&(Yt+=\"/\"+Math.round(ht)),this._hashName){var cr=this._hashName,Nt=!1,Ne=i.window.location.hash.slice(1).split(\"&\").map(function($e){var st=$e.split(\"=\")[0];return st===cr?(Nt=!0,st+\"=\"+Yt):$e}).filter(function($e){return $e});return Nt||Ne.push(cr+\"=\"+Yt),\"#\"+Ne.join(\"&\")}return\"#\"+Yt},Nl.prototype._getCurrentHash=function(){var D=this,J=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var O;return J.split(\"&\").map(function(K){return K.split(\"=\")}).forEach(function(K){K[0]===D._hashName&&(O=K)}),(O&&O[1]||\"\").split(\"/\")}return J.split(\"/\")},Nl.prototype._onHashChange=function(){var D=this._getCurrentHash();if(D.length>=3&&!D.some(function(O){return isNaN(O)})){var J=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(D[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+D[2],+D[1]],zoom:+D[0],bearing:J,pitch:+(D[4]||0)}),!0}return!1},Nl.prototype._updateHashUnthrottled=function(){var D=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,D)}catch(J){}};var Lu={linearity:.3,easing:i.bezier(0,0,.3,1)},au=i.extend({deceleration:2500,maxSpeed:1400},Lu),Js=i.extend({deceleration:20,maxSpeed:1400},Lu),eu=i.extend({deceleration:1e3,maxSpeed:360},Lu),dc=i.extend({deceleration:1e3,maxSpeed:90},Lu),Al=function(D){this._map=D,this.clear()};Al.prototype.clear=function(){this._inertiaBuffer=[]},Al.prototype.record=function(D){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:D})},Al.prototype._drainInertiaBuffer=function(){for(var D=this._inertiaBuffer,J=i.browser.now(),O=160;D.length>0&&J-D[0].time>O;)D.shift()},Al.prototype._onMoveEnd=function(D){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var J={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},O=0,K=this._inertiaBuffer;O<K.length;O+=1){var de=K[O],ne=de.settings;J.zoom+=ne.zoomDelta||0,J.bearing+=ne.bearingDelta||0,J.pitch+=ne.pitchDelta||0,ne.panDelta&&J.pan._add(ne.panDelta),ne.around&&(J.around=ne.around),ne.pinchAround&&(J.pinchAround=ne.pinchAround)}var we=this._inertiaBuffer[this._inertiaBuffer.length-1],Oe=we.time-this._inertiaBuffer[0].time,ht={};if(J.pan.mag()){var Yt=X(J.pan.mag(),Oe,i.extend({},au,D||{}));ht.offset=J.pan.mult(Yt.amount/J.pan.mag()),ht.center=this._map.transform.center,Sl(ht,Yt)}if(J.zoom){var cr=X(J.zoom,Oe,Js);ht.zoom=this._map.transform.zoom+cr.amount,Sl(ht,cr)}if(J.bearing){var Nt=X(J.bearing,Oe,eu);ht.bearing=this._map.transform.bearing+i.clamp(Nt.amount,-179,179),Sl(ht,Nt)}if(J.pitch){var Ne=X(J.pitch,Oe,dc);ht.pitch=this._map.transform.pitch+Ne.amount,Sl(ht,Ne)}if(ht.zoom||ht.bearing){var $e=J.pinchAround===void 0?J.around:J.pinchAround;ht.around=$e?this._map.unproject($e):this._map.getCenter()}return this.clear(),i.extend(ht,{noMoveStart:!0})}};function Sl(Y,D){(!Y.duration||Y.duration<D.duration)&&(Y.duration=D.duration,Y.easing=D.easing)}function X(Y,D,J){var O=J.maxSpeed,K=J.linearity,de=J.deceleration,ne=i.clamp(Y*K/(D/1e3),-O,O),we=Math.abs(ne)/(de*K);return{easing:J.easing,duration:we*1e3,amount:ne*(we/2)}}var se=(function(Y){function D(O,K,de,ne){ne===void 0&&(ne={});var we=o.mousePos(K.getCanvasContainer(),de),Oe=K.unproject(we);Y.call(this,O,i.extend({point:we,lngLat:Oe,originalEvent:de},ne)),this._defaultPrevented=!1,this.target=K}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),Te=(function(Y){function D(O,K,de){var ne=O===\"touchend\"?de.changedTouches:de.touches,we=o.touchPos(K.getCanvasContainer(),ne),Oe=we.map(function(cr){return K.unproject(cr)}),ht=we.reduce(function(cr,Nt,Ne,$e){return cr.add(Nt.div($e.length))},new i.Point(0,0)),Yt=K.unproject(ht);Y.call(this,O,{points:we,point:ht,lngLats:Oe,lngLat:Yt,originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),qe=(function(Y){function D(O,K,de){Y.call(this,O,{originalEvent:de}),this._defaultPrevented=!1}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={defaultPrevented:{configurable:!0}};return D.prototype.preventDefault=function(){this._defaultPrevented=!0},J.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(D.prototype,J),D})(i.Event),Ve=function(D,J){this._map=D,this._clickTolerance=J.clickTolerance};Ve.prototype.reset=function(){delete this._mousedownPos},Ve.prototype.wheel=function(D){return this._firePreventable(new qe(D.type,this._map,D))},Ve.prototype.mousedown=function(D,J){return this._mousedownPos=J,this._firePreventable(new se(D.type,this._map,D))},Ve.prototype.mouseup=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.click=function(D,J){this._mousedownPos&&this._mousedownPos.dist(J)>=this._clickTolerance||this._map.fire(new se(D.type,this._map,D))},Ve.prototype.dblclick=function(D){return this._firePreventable(new se(D.type,this._map,D))},Ve.prototype.mouseover=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.mouseout=function(D){this._map.fire(new se(D.type,this._map,D))},Ve.prototype.touchstart=function(D){return this._firePreventable(new Te(D.type,this._map,D))},Ve.prototype.touchmove=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype.touchend=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype.touchcancel=function(D){this._map.fire(new Te(D.type,this._map,D))},Ve.prototype._firePreventable=function(D){if(this._map.fire(D),D.defaultPrevented)return{}},Ve.prototype.isEnabled=function(){return!0},Ve.prototype.isActive=function(){return!1},Ve.prototype.enable=function(){},Ve.prototype.disable=function(){};var Ye=function(D){this._map=D};Ye.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Ye.prototype.mousemove=function(D){this._map.fire(new se(D.type,this._map,D))},Ye.prototype.mousedown=function(){this._delayContextMenu=!0},Ye.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new se(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Ye.prototype.contextmenu=function(D){this._delayContextMenu?this._contextMenuEvent=D:this._map.fire(new se(D.type,this._map,D)),this._map.listens(\"contextmenu\")&&D.preventDefault()},Ye.prototype.isEnabled=function(){return!0},Ye.prototype.isActive=function(){return!1},Ye.prototype.enable=function(){},Ye.prototype.disable=function(){};var Pt=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._container=D.getContainer(),this._clickTolerance=J.clickTolerance||1};Pt.prototype.isEnabled=function(){return!!this._enabled},Pt.prototype.isActive=function(){return!!this._active},Pt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Pt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Pt.prototype.mousedown=function(D,J){this.isEnabled()&&D.shiftKey&&D.button===0&&(o.disableDrag(),this._startPos=this._lastPos=J,this._active=!0)},Pt.prototype.mousemoveWindow=function(D,J){if(this._active){var O=J;if(!(this._lastPos.equals(O)||!this._box&&O.dist(this._startPos)<this._clickTolerance)){var K=this._startPos;this._lastPos=O,this._box||(this._box=o.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",D));var de=Math.min(K.x,O.x),ne=Math.max(K.x,O.x),we=Math.min(K.y,O.y),Oe=Math.max(K.y,O.y);o.setTransform(this._box,\"translate(\"+de+\"px,\"+we+\"px)\"),this._box.style.width=ne-de+\"px\",this._box.style.height=Oe-we+\"px\"}}},Pt.prototype.mouseupWindow=function(D,J){var O=this;if(this._active&&D.button===0){var K=this._startPos,de=J;if(this.reset(),o.suppressClick(),K.x===de.x&&K.y===de.y)this._fireEvent(\"boxzoomcancel\",D);else return this._map.fire(new i.Event(\"boxzoomend\",{originalEvent:D})),{cameraAnimation:function(ne){return ne.fitScreenCoordinates(K,de,O._map.getBearing(),{linear:!0})}}}},Pt.prototype.keydown=function(D){this._active&&D.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",D))},Pt.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos},Pt.prototype._fireEvent=function(D,J){return this._map.fire(new i.Event(D,{originalEvent:J}))};function ot(Y,D){for(var J={},O=0;O<Y.length;O++)J[Y[O].identifier]=D[O];return J}function Xt(Y){for(var D=new i.Point(0,0),J=0,O=Y;J<O.length;J+=1){var K=O[J];D._add(K)}return D.div(Y.length)}var dr=500,pr=500,Ur=30,zr=function(D){this.reset(),this.numTouches=D.numTouches};zr.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},zr.prototype.touchstart=function(D,J,O){(this.centroid||O.length>this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=D.timeStamp),O.length===this.numTouches&&(this.centroid=Xt(J),this.touches=ot(O,J)))},zr.prototype.touchmove=function(D,J,O){if(!(this.aborted||!this.centroid)){var K=ot(O,J);for(var de in this.touches){var ne=this.touches[de],we=K[de];(!we||we.dist(ne)>Ur)&&(this.aborted=!0)}}},zr.prototype.touchend=function(D,J,O){if((!this.centroid||D.timeStamp-this.startTime>pr)&&(this.aborted=!0),O.length===0){var K=!this.aborted&&this.centroid;if(this.reset(),K)return K}};var gi=function(D){this.singleTap=new zr(D),this.numTaps=D.numTaps,this.reset()};gi.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},gi.prototype.touchstart=function(D,J,O){this.singleTap.touchstart(D,J,O)},gi.prototype.touchmove=function(D,J,O){this.singleTap.touchmove(D,J,O)},gi.prototype.touchend=function(D,J,O){var K=this.singleTap.touchend(D,J,O);if(K){var de=D.timeStamp-this.lastTime<dr,ne=!this.lastTap||this.lastTap.dist(K)<Ur;if((!de||!ne)&&this.reset(),this.count++,this.lastTime=D.timeStamp,this.lastTap=K,this.count===this.numTaps)return this.reset(),K}};var xi=function(){this._zoomIn=new gi({numTouches:1,numTaps:2}),this._zoomOut=new gi({numTouches:2,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},xi.prototype.touchstart=function(D,J,O){this._zoomIn.touchstart(D,J,O),this._zoomOut.touchstart(D,J,O)},xi.prototype.touchmove=function(D,J,O){this._zoomIn.touchmove(D,J,O),this._zoomOut.touchmove(D,J,O)},xi.prototype.touchend=function(D,J,O){var K=this,de=this._zoomIn.touchend(D,J,O),ne=this._zoomOut.touchend(D,J,O);if(de)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()+1,around:we.unproject(de)},{originalEvent:D})}};if(ne)return this._active=!0,D.preventDefault(),setTimeout(function(){return K.reset()},0),{cameraAnimation:function(we){return we.easeTo({duration:300,zoom:we.getZoom()-1,around:we.unproject(ne)},{originalEvent:D})}}},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var Wr=0,ii=2,di={};di[Wr]=1,di[ii]=2;function Li(Y,D){var J=di[D];return Y.buttons===void 0||(Y.buttons&J)!==J}var Ti=function(D){this.reset(),this._clickTolerance=D.clickTolerance||1};Ti.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Ti.prototype._correctButton=function(D,J){return!1},Ti.prototype._move=function(D,J){return{}},Ti.prototype.mousedown=function(D,J){if(!this._lastPoint){var O=o.mouseButton(D);this._correctButton(D,O)&&(this._lastPoint=J,this._eventButton=O)}},Ti.prototype.mousemoveWindow=function(D,J){var O=this._lastPoint;if(O){if(D.preventDefault(),Li(D,this._eventButton)){this.reset();return}if(!(!this._moved&&J.dist(O)<this._clickTolerance))return this._moved=!0,this._lastPoint=J,this._move(O,J)}},Ti.prototype.mouseupWindow=function(D){if(this._lastPoint){var J=o.mouseButton(D);J===this._eventButton&&(this._moved&&o.suppressClick(),this.reset())}},Ti.prototype.enable=function(){this._enabled=!0},Ti.prototype.disable=function(){this._enabled=!1,this.reset()},Ti.prototype.isEnabled=function(){return this._enabled},Ti.prototype.isActive=function(){return this._active};var Qr=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.mousedown=function(O,K){Y.prototype.mousedown.call(this,O,K),this._lastPoint&&(this._active=!0)},D.prototype._correctButton=function(O,K){return K===Wr&&!O.ctrlKey},D.prototype._move=function(O,K){return{around:K,panDelta:K.sub(O)}},D})(Ti),Pn=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(O,K){return K===Wr&&O.ctrlKey||K===ii},D.prototype._move=function(O,K){var de=.8,ne=(K.x-O.x)*de;if(ne)return this._active=!0,{bearingDelta:ne}},D.prototype.contextmenu=function(O){O.preventDefault()},D})(Ti),kn=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype._correctButton=function(O,K){return K===Wr&&O.ctrlKey||K===ii},D.prototype._move=function(O,K){var de=-.5,ne=(K.y-O.y)*de;if(ne)return this._active=!0,{pitchDelta:ne}},D.prototype.contextmenu=function(O){O.preventDefault()},D})(Ti),Bn=function(D){this._minTouches=1,this._clickTolerance=D.clickTolerance||1,this.reset()};Bn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new i.Point(0,0)},Bn.prototype.touchstart=function(D,J,O){return this._calculateTransform(D,J,O)},Bn.prototype.touchmove=function(D,J,O){if(!(!this._active||O.length<this._minTouches))return D.preventDefault(),this._calculateTransform(D,J,O)},Bn.prototype.touchend=function(D,J,O){this._calculateTransform(D,J,O),this._active&&O.length<this._minTouches&&this.reset()},Bn.prototype.touchcancel=function(){this.reset()},Bn.prototype._calculateTransform=function(D,J,O){O.length>0&&(this._active=!0);var K=ot(O,J),de=new i.Point(0,0),ne=new i.Point(0,0),we=0;for(var Oe in K){var ht=K[Oe],Yt=this._touches[Oe];Yt&&(de._add(ht),ne._add(ht.sub(Yt)),we++,K[Oe]=ht)}if(this._touches=K,!(we<this._minTouches||!ne.mag())){var cr=ne.div(we);if(this._sum._add(cr),!(this._sum.mag()<this._clickTolerance)){var Nt=de.div(we);return{around:Nt,panDelta:cr}}}},Bn.prototype.enable=function(){this._enabled=!0},Bn.prototype.disable=function(){this._enabled=!1,this.reset()},Bn.prototype.isEnabled=function(){return this._enabled},Bn.prototype.isActive=function(){return this._active};var na=function(){this.reset()};na.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},na.prototype._start=function(D){},na.prototype._move=function(D,J,O){return{}},na.prototype.touchstart=function(D,J,O){this._firstTwoTouches||O.length<2||(this._firstTwoTouches=[O[0].identifier,O[1].identifier],this._start([J[0],J[1]]))},na.prototype.touchmove=function(D,J,O){if(this._firstTwoTouches){D.preventDefault();var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(O,J,de),Oe=Ea(O,J,ne);if(!(!we||!Oe)){var ht=this._aroundCenter?null:we.add(Oe).div(2);return this._move([we,Oe],ht,D)}}},na.prototype.touchend=function(D,J,O){if(this._firstTwoTouches){var K=this._firstTwoTouches,de=K[0],ne=K[1],we=Ea(O,J,de),Oe=Ea(O,J,ne);we&&Oe||(this._active&&o.suppressClick(),this.reset())}},na.prototype.touchcancel=function(){this.reset()},na.prototype.enable=function(D){this._enabled=!0,this._aroundCenter=!!D&&D.around===\"center\"},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};function Ea(Y,D,J){for(var O=0;O<Y.length;O++)if(Y[O].identifier===J)return D[O]}var Ia=.1;function yo(Y,D){return Math.log(Y/D)/Math.LN2}var Da=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._distance,delete this._startDistance},D.prototype._start=function(O){this._startDistance=this._distance=O[0].dist(O[1])},D.prototype._move=function(O,K){var de=this._distance;if(this._distance=O[0].dist(O[1]),!(!this._active&&Math.abs(yo(this._distance,this._startDistance))<Ia))return this._active=!0,{zoomDelta:yo(this._distance,de),pinchAround:K}},D})(na),go=25;function Is(Y,D){return Y.angleWith(D)*180/Math.PI}var Ms=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},D.prototype._start=function(O){this._startVector=this._vector=O[0].sub(O[1]),this._minDiameter=O[0].dist(O[1])},D.prototype._move=function(O,K){var de=this._vector;if(this._vector=O[0].sub(O[1]),!(!this._active&&this._isBelowThreshold(this._vector)))return this._active=!0,{bearingDelta:Is(this._vector,de),pinchAround:K}},D.prototype._isBelowThreshold=function(O){this._minDiameter=Math.min(this._minDiameter,O.mag());var K=Math.PI*this._minDiameter,de=go/K*360,ne=Is(O,this._startVector);return Math.abs(ne)<de},D})(na);function Xs(Y){return Math.abs(Y.y)>Math.abs(Y.x)}var Un=100,ja=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},D.prototype._start=function(O){this._lastPoints=O,Xs(O[0].sub(O[1]))&&(this._valid=!1)},D.prototype._move=function(O,K,de){var ne=O[0].sub(this._lastPoints[0]),we=O[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(ne,we,de.timeStamp),!!this._valid){this._lastPoints=O,this._active=!0;var Oe=(ne.y+we.y)/2,ht=-.5;return{pitchDelta:Oe*ht}}},D.prototype.gestureBeginsVertically=function(O,K,de){if(this._valid!==void 0)return this._valid;var ne=2,we=O.mag()>=ne,Oe=K.mag()>=ne;if(!(!we&&!Oe)){if(!we||!Oe)return this._firstMove===void 0&&(this._firstMove=de),de-this._firstMove<Un?void 0:!1;var ht=O.y>0==K.y>0;return Xs(O)&&Xs(K)&&ht}},D})(na),Fo={panStep:100,bearingStep:15,pitchStep:10},Uo=function(){var D=Fo;this._panStep=D.panStep,this._bearingStep=D.bearingStep,this._pitchStep=D.pitchStep,this._rotationDisabled=!1};Uo.prototype.reset=function(){this._active=!1},Uo.prototype.keydown=function(D){var J=this;if(!(D.altKey||D.ctrlKey||D.metaKey)){var O=0,K=0,de=0,ne=0,we=0;switch(D.keyCode){case 61:case 107:case 171:case 187:O=1;break;case 189:case 109:case 173:O=-1;break;case 37:D.shiftKey?K=-1:(D.preventDefault(),ne=-1);break;case 39:D.shiftKey?K=1:(D.preventDefault(),ne=1);break;case 38:D.shiftKey?de=1:(D.preventDefault(),we=-1);break;case 40:D.shiftKey?de=-1:(D.preventDefault(),we=1);break;default:return}return this._rotationDisabled&&(K=0,de=0),{cameraAnimation:function(Oe){var ht=Oe.getZoom();Oe.easeTo({duration:300,easeId:\"keyboardHandler\",easing:$s,zoom:O?Math.round(ht)+O*(D.shiftKey?2:1):ht,bearing:Oe.getBearing()+K*J._bearingStep,pitch:Oe.getPitch()+de*J._pitchStep,offset:[-ne*J._panStep,-we*J._panStep],center:Oe.getCenter()},{originalEvent:D})}}}},Uo.prototype.enable=function(){this._enabled=!0},Uo.prototype.disable=function(){this._enabled=!1,this.reset()},Uo.prototype.isEnabled=function(){return this._enabled},Uo.prototype.isActive=function(){return this._active},Uo.prototype.disableRotation=function(){this._rotationDisabled=!0},Uo.prototype.enableRotation=function(){this._rotationDisabled=!1};function $s(Y){return Y*(2-Y)}var Ml=4.000244140625,bu=1/100,dl=1/450,Sc=2,Me=function(D,J){this._map=D,this._el=D.getCanvasContainer(),this._handler=J,this._delta=0,this._defaultZoomRate=bu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};Me.prototype.setZoomRate=function(D){this._defaultZoomRate=D},Me.prototype.setWheelZoomRate=function(D){this._wheelZoomRate=D},Me.prototype.isEnabled=function(){return!!this._enabled},Me.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},Me.prototype.isZooming=function(){return!!this._zooming},Me.prototype.enable=function(D){this.isEnabled()||(this._enabled=!0,this._aroundCenter=D&&D.around===\"center\")},Me.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Me.prototype.wheel=function(D){if(this.isEnabled()){var J=D.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?D.deltaY*40:D.deltaY,O=i.browser.now(),K=O-(this._lastWheelEventTime||0);this._lastWheelEventTime=O,J!==0&&J%Ml===0?this._type=\"wheel\":J!==0&&Math.abs(J)<4?this._type=\"trackpad\":K>400?(this._type=null,this._lastValue=J,this._timeout=setTimeout(this._onTimeout,40,D)):this._type||(this._type=Math.abs(K*J)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,J+=this._lastValue)),D.shiftKey&&J&&(J=J/4),this._type&&(this._lastWheelEvent=D,this._delta-=J,this._active||this._start(D)),D.preventDefault()}},Me.prototype._onTimeout=function(D){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(D)},Me.prototype._start=function(D){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var J=o.mousePos(this._el,D);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(J)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},Me.prototype.renderFrame=function(){var D=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var J=this._map.transform;if(this._delta!==0){var O=this._type===\"wheel\"&&Math.abs(this._delta)>Ml?this._wheelZoomRate:this._defaultZoomRate,K=Sc/(1+Math.exp(-Math.abs(this._delta*O)));this._delta<0&&K!==0&&(K=1/K);var de=typeof this._targetZoom==\"number\"?J.zoomScale(this._targetZoom):J.scale;this._targetZoom=Math.min(J.maxZoom,Math.max(J.minZoom,J.scaleZoom(de*K))),this._type===\"wheel\"&&(this._startZoom=J.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var ne=typeof this._targetZoom==\"number\"?this._targetZoom:J.zoom,we=this._startZoom,Oe=this._easing,ht=!1,Yt;if(this._type===\"wheel\"&&we&&Oe){var cr=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),Nt=Oe(cr);Yt=i.number(we,ne,Nt),cr<1?this._frameId||(this._frameId=!0):ht=!0}else Yt=ne,ht=!0;return this._active=!0,ht&&(this._active=!1,this._finishTimeout=setTimeout(function(){D._zooming=!1,D._handler._triggerRenderFrame(),delete D._targetZoom,delete D._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!ht,zoomDelta:Yt-J.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},Me.prototype._smoothOutEasing=function(D){var J=i.ease;if(this._prevEase){var O=this._prevEase,K=(i.browser.now()-O.start)/O.duration,de=O.easing(K+.01)-O.easing(K),ne=.27/Math.sqrt(de*de+1e-4)*.01,we=Math.sqrt(.27*.27-ne*ne);J=i.bezier(ne,we,.25,1)}return this._prevEase={start:i.browser.now(),duration:D,easing:J},J},Me.prototype.reset=function(){this._active=!1};var bt=function(D,J){this._clickZoom=D,this._tapZoom=J};bt.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},bt.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},bt.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},bt.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var Ot=function(){this.reset()};Ot.prototype.reset=function(){this._active=!1},Ot.prototype.dblclick=function(D,J){return D.preventDefault(),{cameraAnimation:function(O){O.easeTo({duration:300,zoom:O.getZoom()+(D.shiftKey?-1:1),around:O.unproject(J)},{originalEvent:D})}}},Ot.prototype.enable=function(){this._enabled=!0},Ot.prototype.disable=function(){this._enabled=!1,this.reset()},Ot.prototype.isEnabled=function(){return this._enabled},Ot.prototype.isActive=function(){return this._active};var Lr=function(){this._tap=new gi({numTouches:1,numTaps:1}),this.reset()};Lr.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},Lr.prototype.touchstart=function(D,J,O){this._swipePoint||(this._tapTime&&D.timeStamp-this._tapTime>dr&&this.reset(),this._tapTime?O.length>0&&(this._swipePoint=J[0],this._swipeTouch=O[0].identifier):this._tap.touchstart(D,J,O))},Lr.prototype.touchmove=function(D,J,O){if(!this._tapTime)this._tap.touchmove(D,J,O);else if(this._swipePoint){if(O[0].identifier!==this._swipeTouch)return;var K=J[0],de=K.y-this._swipePoint.y;return this._swipePoint=K,D.preventDefault(),this._active=!0,{zoomDelta:de/128}}},Lr.prototype.touchend=function(D,J,O){if(this._tapTime)this._swipePoint&&O.length===0&&this.reset();else{var K=this._tap.touchend(D,J,O);K&&(this._tapTime=D.timeStamp)}},Lr.prototype.touchcancel=function(){this.reset()},Lr.prototype.enable=function(){this._enabled=!0},Lr.prototype.disable=function(){this._enabled=!1,this.reset()},Lr.prototype.isEnabled=function(){return this._enabled},Lr.prototype.isActive=function(){return this._active};var Vr=function(D,J,O){this._el=D,this._mousePan=J,this._touchPan=O};Vr.prototype.enable=function(D){this._inertiaOptions=D||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Vr.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Vr.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Vr.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Or=function(D,J,O){this._pitchWithRotate=D.pitchWithRotate,this._mouseRotate=J,this._mousePitch=O};Or.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Or.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Or.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Or.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Nr=function(D,J,O,K){this._el=D,this._touchZoom=J,this._touchRotate=O,this._tapDragZoom=K,this._rotationDisabled=!1,this._enabled=!0};Nr.prototype.enable=function(D){this._touchZoom.enable(D),this._rotationDisabled||this._touchRotate.enable(D),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Nr.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Nr.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Nr.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Nr.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Nr.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var vi=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},Ni=(function(Y){function D(){Y.apply(this,arguments)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D})(i.Event);function qi(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var Si=function(D,J){this._map=D,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Al(D),this._bearingSnap=J.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(J),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var O=this._el;this._listeners=[[O,\"touchstart\",{passive:!0}],[O,\"touchmove\",{passive:!1}],[O,\"touchend\",void 0],[O,\"touchcancel\",void 0],[O,\"mousedown\",void 0],[O,\"mousemove\",void 0],[O,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[O,\"mouseover\",void 0],[O,\"mouseout\",void 0],[O,\"dblclick\",void 0],[O,\"click\",void 0],[O,\"keydown\",{capture:!1}],[O,\"keyup\",void 0],[O,\"wheel\",{passive:!1}],[O,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var K=0,de=this._listeners;K<de.length;K+=1){var ne=de[K],we=ne[0],Oe=ne[1],ht=ne[2];o.addEventListener(we,Oe,we===i.window.document?this.handleWindowEvent:this.handleEvent,ht)}};Si.prototype.destroy=function(){for(var D=0,J=this._listeners;D<J.length;D+=1){var O=J[D],K=O[0],de=O[1],ne=O[2];o.removeEventListener(K,de,K===i.window.document?this.handleWindowEvent:this.handleEvent,ne)}},Si.prototype._addDefaultHandlers=function(D){var J=this._map,O=J.getCanvasContainer();this._add(\"mapEvent\",new Ve(J,D));var K=J.boxZoom=new Pt(J,D);this._add(\"boxZoom\",K);var de=new xi,ne=new Ot;J.doubleClickZoom=new bt(ne,de),this._add(\"tapZoom\",de),this._add(\"clickZoom\",ne);var we=new Lr;this._add(\"tapDragZoom\",we);var Oe=J.touchPitch=new ja;this._add(\"touchPitch\",Oe);var ht=new Pn(D),Yt=new kn(D);J.dragRotate=new Or(D,ht,Yt),this._add(\"mouseRotate\",ht,[\"mousePitch\"]),this._add(\"mousePitch\",Yt,[\"mouseRotate\"]);var cr=new Qr(D),Nt=new Bn(D);J.dragPan=new Vr(O,cr,Nt),this._add(\"mousePan\",cr),this._add(\"touchPan\",Nt,[\"touchZoom\",\"touchRotate\"]);var Ne=new Ms,$e=new Da;J.touchZoomRotate=new Nr(O,$e,Ne,we),this._add(\"touchRotate\",Ne,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",$e,[\"touchPan\",\"touchRotate\"]);var st=J.scrollZoom=new Me(J,this);this._add(\"scrollZoom\",st,[\"mousePan\"]);var It=J.keyboard=new Uo;this._add(\"keyboard\",It),this._add(\"blockableMapEvent\",new Ye(J));for(var Bt=0,Ft=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];Bt<Ft.length;Bt+=1){var Ut=Ft[Bt];D.interactive&&D[Ut]&&J[Ut].enable(D[Ut])}},Si.prototype._add=function(D,J,O){this._handlers.push({handlerName:D,handler:J,allowed:O}),this._handlersById[D]=J},Si.prototype.stop=function(D){if(!this._updatingCamera){for(var J=0,O=this._handlers;J<O.length;J+=1){var K=O[J],de=K.handler;de.reset()}this._inertia.clear(),this._fireEvents({},{},D),this._changes=[]}},Si.prototype.isActive=function(){for(var D=0,J=this._handlers;D<J.length;D+=1){var O=J[D],K=O.handler;if(K.isActive())return!0}return!1},Si.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Si.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Si.prototype.isMoving=function(){return!!vi(this._eventsInProgress)||this.isZooming()},Si.prototype._blockedByActive=function(D,J,O){for(var K in D)if(K!==O&&(!J||J.indexOf(K)<0))return!0;return!1},Si.prototype.handleWindowEvent=function(D){this.handleEvent(D,D.type+\"Window\")},Si.prototype._getMapTouches=function(D){for(var J=[],O=0,K=D;O<K.length;O+=1){var de=K[O],ne=de.target;this._el.contains(ne)&&J.push(de)}return J},Si.prototype.handleEvent=function(D,J){if(D.type===\"blur\"){this.stop(!0);return}this._updatingCamera=!0;for(var O=D.type===\"renderFrame\"?void 0:D,K={needsRenderFrame:!1},de={},ne={},we=D.touches?this._getMapTouches(D.touches):void 0,Oe=we?o.touchPos(this._el,we):o.mousePos(this._el,D),ht=0,Yt=this._handlers;ht<Yt.length;ht+=1){var cr=Yt[ht],Nt=cr.handlerName,Ne=cr.handler,$e=cr.allowed;if(Ne.isEnabled()){var st=void 0;this._blockedByActive(ne,$e,Nt)?Ne.reset():Ne[J||D.type]&&(st=Ne[J||D.type](D,Oe,we),this.mergeHandlerResult(K,de,st,Nt,O),st&&st.needsRenderFrame&&this._triggerRenderFrame()),(st||Ne.isActive())&&(ne[Nt]=Ne)}}var It={};for(var Bt in this._previousActiveHandlers)ne[Bt]||(It[Bt]=O);this._previousActiveHandlers=ne,(Object.keys(It).length||qi(K))&&(this._changes.push([K,de,It]),this._triggerRenderFrame()),(Object.keys(ne).length||qi(K))&&this._map._stop(!0),this._updatingCamera=!1;var Ft=K.cameraAnimation;Ft&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],Ft(this._map))},Si.prototype.mergeHandlerResult=function(D,J,O,K,de){if(O){i.extend(D,O);var ne={handlerName:K,originalEvent:O.originalEvent||de};O.zoomDelta!==void 0&&(J.zoom=ne),O.panDelta!==void 0&&(J.drag=ne),O.pitchDelta!==void 0&&(J.pitch=ne),O.bearingDelta!==void 0&&(J.rotate=ne)}},Si.prototype._applyChanges=function(){for(var D={},J={},O={},K=0,de=this._changes;K<de.length;K+=1){var ne=de[K],we=ne[0],Oe=ne[1],ht=ne[2];we.panDelta&&(D.panDelta=(D.panDelta||new i.Point(0,0))._add(we.panDelta)),we.zoomDelta&&(D.zoomDelta=(D.zoomDelta||0)+we.zoomDelta),we.bearingDelta&&(D.bearingDelta=(D.bearingDelta||0)+we.bearingDelta),we.pitchDelta&&(D.pitchDelta=(D.pitchDelta||0)+we.pitchDelta),we.around!==void 0&&(D.around=we.around),we.pinchAround!==void 0&&(D.pinchAround=we.pinchAround),we.noInertia&&(D.noInertia=we.noInertia),i.extend(J,Oe),i.extend(O,ht)}this._updateMapTransform(D,J,O),this._changes=[]},Si.prototype._updateMapTransform=function(D,J,O){var K=this._map,de=K.transform;if(!qi(D))return this._fireEvents(J,O,!0);var ne=D.panDelta,we=D.zoomDelta,Oe=D.bearingDelta,ht=D.pitchDelta,Yt=D.around,cr=D.pinchAround;cr!==void 0&&(Yt=cr),K._stop(!0),Yt=Yt||K.transform.centerPoint;var Nt=de.pointLocation(ne?Yt.sub(ne):Yt);Oe&&(de.bearing+=Oe),ht&&(de.pitch+=ht),we&&(de.zoom+=we),de.setLocationAtPoint(Nt,Yt),this._map._update(),D.noInertia||this._inertia.record(D),this._fireEvents(J,O,!0)},Si.prototype._fireEvents=function(D,J,O){var K=this,de=vi(this._eventsInProgress),ne=vi(D),we={};for(var Oe in D){var ht=D[Oe],Yt=ht.originalEvent;this._eventsInProgress[Oe]||(we[Oe+\"start\"]=Yt),this._eventsInProgress[Oe]=D[Oe]}!de&&ne&&this._fireEvent(\"movestart\",ne.originalEvent);for(var cr in we)this._fireEvent(cr,we[cr]);ne&&this._fireEvent(\"move\",ne.originalEvent);for(var Nt in D){var Ne=D[Nt],$e=Ne.originalEvent;this._fireEvent(Nt,$e)}var st={},It;for(var Bt in this._eventsInProgress){var Ft=this._eventsInProgress[Bt],Ut=Ft.handlerName,zt=Ft.originalEvent;this._handlersById[Ut].isActive()||(delete this._eventsInProgress[Bt],It=J[Ut]||zt,st[Bt+\"end\"]=It)}for(var _t in st)this._fireEvent(_t,st[_t]);var Dt=vi(this._eventsInProgress);if(O&&(de||ne)&&!Dt){this._updatingCamera=!0;var vt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),lr=function(_r){return _r!==0&&-K._bearingSnap<_r&&_r<K._bearingSnap};vt?(lr(vt.bearing||this._map.getBearing())&&(vt.bearing=0),this._map.easeTo(vt,{originalEvent:It})):(this._map.fire(new i.Event(\"moveend\",{originalEvent:It})),lr(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Si.prototype._fireEvent=function(D,J){this._map.fire(new i.Event(D,J?{originalEvent:J}:{}))},Si.prototype._requestFrame=function(){var D=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add(function(J){delete D._frameId,D.handleEvent(new Ni(\"renderFrame\",{timeStamp:J})),D._applyChanges()})},Si.prototype._triggerRenderFrame=function(){this._frameId===void 0&&(this._frameId=this._requestFrame())};var Vn=(function(Y){function D(J,O){Y.call(this),this._moving=!1,this._zooming=!1,this.transform=J,this._bearingSnap=O.bearingSnap,i.bindAll([\"_renderFrameCallback\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.getCenter=function(){return new i.LngLat(this.transform.center.lng,this.transform.center.lat)},D.prototype.setCenter=function(O,K){return this.jumpTo({center:O},K)},D.prototype.panBy=function(O,K,de){return O=i.Point.convert(O).mult(-1),this.panTo(this.transform.center,i.extend({offset:O},K),de)},D.prototype.panTo=function(O,K,de){return this.easeTo(i.extend({center:O},K),de)},D.prototype.getZoom=function(){return this.transform.zoom},D.prototype.setZoom=function(O,K){return this.jumpTo({zoom:O},K),this},D.prototype.zoomTo=function(O,K,de){return this.easeTo(i.extend({zoom:O},K),de)},D.prototype.zoomIn=function(O,K){return this.zoomTo(this.getZoom()+1,O,K),this},D.prototype.zoomOut=function(O,K){return this.zoomTo(this.getZoom()-1,O,K),this},D.prototype.getBearing=function(){return this.transform.bearing},D.prototype.setBearing=function(O,K){return this.jumpTo({bearing:O},K),this},D.prototype.getPadding=function(){return this.transform.padding},D.prototype.setPadding=function(O,K){return this.jumpTo({padding:O},K),this},D.prototype.rotateTo=function(O,K,de){return this.easeTo(i.extend({bearing:O},K),de)},D.prototype.resetNorth=function(O,K){return this.rotateTo(0,i.extend({duration:1e3},O),K),this},D.prototype.resetNorthPitch=function(O,K){return this.easeTo(i.extend({bearing:0,pitch:0,duration:1e3},O),K),this},D.prototype.snapToNorth=function(O,K){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(O,K):this},D.prototype.getPitch=function(){return this.transform.pitch},D.prototype.setPitch=function(O,K){return this.jumpTo({pitch:O},K),this},D.prototype.cameraForBounds=function(O,K){O=i.LngLatBounds.convert(O);var de=K&&K.bearing||0;return this._cameraForBoxAndBearing(O.getNorthWest(),O.getSouthEast(),de,K)},D.prototype._cameraForBoxAndBearing=function(O,K,de,ne){var we={top:0,bottom:0,right:0,left:0};if(ne=i.extend({padding:we,offset:[0,0],maxZoom:this.transform.maxZoom},ne),typeof ne.padding==\"number\"){var Oe=ne.padding;ne.padding={top:Oe,bottom:Oe,right:Oe,left:Oe}}ne.padding=i.extend(we,ne.padding);var ht=this.transform,Yt=ht.padding,cr=ht.project(i.LngLat.convert(O)),Nt=ht.project(i.LngLat.convert(K)),Ne=cr.rotate(-de*Math.PI/180),$e=Nt.rotate(-de*Math.PI/180),st=new i.Point(Math.max(Ne.x,$e.x),Math.max(Ne.y,$e.y)),It=new i.Point(Math.min(Ne.x,$e.x),Math.min(Ne.y,$e.y)),Bt=st.sub(It),Ft=(ht.width-(Yt.left+Yt.right+ne.padding.left+ne.padding.right))/Bt.x,Ut=(ht.height-(Yt.top+Yt.bottom+ne.padding.top+ne.padding.bottom))/Bt.y;if(Ut<0||Ft<0){i.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");return}var zt=Math.min(ht.scaleZoom(ht.scale*Math.min(Ft,Ut)),ne.maxZoom),_t=typeof ne.offset.x==\"number\"?new i.Point(ne.offset.x,ne.offset.y):i.Point.convert(ne.offset),Dt=(ne.padding.left-ne.padding.right)/2,vt=(ne.padding.top-ne.padding.bottom)/2,lr=new i.Point(Dt,vt),_r=lr.rotate(de*Math.PI/180),Br=_t.add(_r),Di=Br.mult(ht.scale/ht.zoomScale(zt)),ci=ht.unproject(cr.add(Nt).div(2).sub(Di));return{center:ci,zoom:zt,bearing:de}},D.prototype.fitBounds=function(O,K,de){return this._fitInternal(this.cameraForBounds(O,K),K,de)},D.prototype.fitScreenCoordinates=function(O,K,de,ne,we){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(i.Point.convert(O)),this.transform.pointLocation(i.Point.convert(K)),de,ne),ne,we)},D.prototype._fitInternal=function(O,K,de){return O?(K=i.extend(O,K),delete K.padding,K.linear?this.easeTo(K,de):this.flyTo(K,de)):this},D.prototype.jumpTo=function(O,K){this.stop();var de=this.transform,ne=!1,we=!1,Oe=!1;return\"zoom\"in O&&de.zoom!==+O.zoom&&(ne=!0,de.zoom=+O.zoom),O.center!==void 0&&(de.center=i.LngLat.convert(O.center)),\"bearing\"in O&&de.bearing!==+O.bearing&&(we=!0,de.bearing=+O.bearing),\"pitch\"in O&&de.pitch!==+O.pitch&&(Oe=!0,de.pitch=+O.pitch),O.padding!=null&&!de.isPaddingEqual(O.padding)&&(de.padding=O.padding),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K)),ne&&this.fire(new i.Event(\"zoomstart\",K)).fire(new i.Event(\"zoom\",K)).fire(new i.Event(\"zoomend\",K)),we&&this.fire(new i.Event(\"rotatestart\",K)).fire(new i.Event(\"rotate\",K)).fire(new i.Event(\"rotateend\",K)),Oe&&this.fire(new i.Event(\"pitchstart\",K)).fire(new i.Event(\"pitch\",K)).fire(new i.Event(\"pitchend\",K)),this.fire(new i.Event(\"moveend\",K))},D.prototype.easeTo=function(O,K){var de=this;this._stop(!1,O.easeId),O=i.extend({offset:[0,0],duration:500,easing:i.ease},O),(O.animate===!1||!O.essential&&i.browser.prefersReducedMotion)&&(O.duration=0);var ne=this.transform,we=this.getZoom(),Oe=this.getBearing(),ht=this.getPitch(),Yt=this.getPadding(),cr=\"zoom\"in O?+O.zoom:we,Nt=\"bearing\"in O?this._normalizeBearing(O.bearing,Oe):Oe,Ne=\"pitch\"in O?+O.pitch:ht,$e=\"padding\"in O?O.padding:ne.padding,st=i.Point.convert(O.offset),It=ne.centerPoint.add(st),Bt=ne.pointLocation(It),Ft=i.LngLat.convert(O.center||Bt);this._normalizeCenter(Ft);var Ut=ne.project(Bt),zt=ne.project(Ft).sub(Ut),_t=ne.zoomScale(cr-we),Dt,vt;O.around&&(Dt=i.LngLat.convert(O.around),vt=ne.locationPoint(Dt));var lr={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||cr!==we,this._rotating=this._rotating||Oe!==Nt,this._pitching=this._pitching||Ne!==ht,this._padding=!ne.isPaddingEqual($e),this._easeId=O.easeId,this._prepareEase(K,O.noMoveStart,lr),this._ease(function(_r){if(de._zooming&&(ne.zoom=i.number(we,cr,_r)),de._rotating&&(ne.bearing=i.number(Oe,Nt,_r)),de._pitching&&(ne.pitch=i.number(ht,Ne,_r)),de._padding&&(ne.interpolatePadding(Yt,$e,_r),It=ne.centerPoint.add(st)),Dt)ne.setLocationAtPoint(Dt,vt);else{var Br=ne.zoomScale(ne.zoom-we),Di=cr>we?Math.min(2,_t):Math.max(.5,_t),ci=Math.pow(Di,1-_r),bi=ne.unproject(Ut.add(zt.mult(_r*ci)).mult(Br));ne.setLocationAtPoint(ne.renderWorldCopies?bi.wrap():bi,It)}de._fireMoveEvents(K)},function(_r){de._afterEase(K,_r)},O),this},D.prototype._prepareEase=function(O,K,de){de===void 0&&(de={}),this._moving=!0,!K&&!de.moving&&this.fire(new i.Event(\"movestart\",O)),this._zooming&&!de.zooming&&this.fire(new i.Event(\"zoomstart\",O)),this._rotating&&!de.rotating&&this.fire(new i.Event(\"rotatestart\",O)),this._pitching&&!de.pitching&&this.fire(new i.Event(\"pitchstart\",O))},D.prototype._fireMoveEvents=function(O){this.fire(new i.Event(\"move\",O)),this._zooming&&this.fire(new i.Event(\"zoom\",O)),this._rotating&&this.fire(new i.Event(\"rotate\",O)),this._pitching&&this.fire(new i.Event(\"pitch\",O))},D.prototype._afterEase=function(O,K){if(!(this._easeId&&K&&this._easeId===K)){delete this._easeId;var de=this._zooming,ne=this._rotating,we=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,de&&this.fire(new i.Event(\"zoomend\",O)),ne&&this.fire(new i.Event(\"rotateend\",O)),we&&this.fire(new i.Event(\"pitchend\",O)),this.fire(new i.Event(\"moveend\",O))}},D.prototype.flyTo=function(O,K){var de=this;if(!O.essential&&i.browser.prefersReducedMotion){var ne=i.pick(O,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(ne,K)}this.stop(),O=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},O);var we=this.transform,Oe=this.getZoom(),ht=this.getBearing(),Yt=this.getPitch(),cr=this.getPadding(),Nt=\"zoom\"in O?i.clamp(+O.zoom,we.minZoom,we.maxZoom):Oe,Ne=\"bearing\"in O?this._normalizeBearing(O.bearing,ht):ht,$e=\"pitch\"in O?+O.pitch:Yt,st=\"padding\"in O?O.padding:we.padding,It=we.zoomScale(Nt-Oe),Bt=i.Point.convert(O.offset),Ft=we.centerPoint.add(Bt),Ut=we.pointLocation(Ft),zt=i.LngLat.convert(O.center||Ut);this._normalizeCenter(zt);var _t=we.project(Ut),Dt=we.project(zt).sub(_t),vt=O.curve,lr=Math.max(we.width,we.height),_r=lr/It,Br=Dt.mag();if(\"minZoom\"in O){var Di=i.clamp(Math.min(O.minZoom,Oe,Nt),we.minZoom,we.maxZoom),ci=lr/we.zoomScale(Di-Oe);vt=Math.sqrt(ci/Br*2)}var bi=vt*vt;function gn(so){var Yo=(_r*_r-lr*lr+(so?-1:1)*bi*bi*Br*Br)/(2*(so?_r:lr)*bi*Br);return Math.log(Math.sqrt(Yo*Yo+1)-Yo)}function tn(so){return(Math.exp(so)-Math.exp(-so))/2}function Ei(so){return(Math.exp(so)+Math.exp(-so))/2}function Oi(so){return tn(so)/Ei(so)}var Gi=gn(0),on=function(so){return Ei(Gi)/Ei(Gi+vt*so)},zn=function(so){return lr*((Ei(Gi)*Oi(Gi+vt*so)-tn(Gi))/bi)/Br},Ja=(gn(1)-Gi)/vt;if(Math.abs(Br)<1e-6||!isFinite(Ja)){if(Math.abs(lr-_r)<1e-6)return this.easeTo(O,K);var co=_r<lr?-1:1;Ja=Math.abs(Math.log(_r/lr))/vt,zn=function(){return 0},on=function(so){return Math.exp(co*vt*so)}}if(\"duration\"in O)O.duration=+O.duration;else{var ts=\"screenSpeed\"in O?+O.screenSpeed/vt:+O.speed;O.duration=1e3*Ja/ts}return O.maxDuration&&O.duration>O.maxDuration&&(O.duration=0),this._zooming=!0,this._rotating=ht!==Ne,this._pitching=$e!==Yt,this._padding=!we.isPaddingEqual(st),this._prepareEase(K,!1),this._ease(function(so){var Yo=so*Ja,ms=1/on(Yo);we.zoom=so===1?Nt:Oe+we.scaleZoom(ms),de._rotating&&(we.bearing=i.number(ht,Ne,so)),de._pitching&&(we.pitch=i.number(Yt,$e,so)),de._padding&&(we.interpolatePadding(cr,st,so),Ft=we.centerPoint.add(Bt));var ou=so===1?zt:we.unproject(_t.add(Dt.mult(zn(Yo))).mult(ms));we.setLocationAtPoint(we.renderWorldCopies?ou.wrap():ou,Ft),de._fireMoveEvents(K)},function(){return de._afterEase(K)},O),this},D.prototype.isEasing=function(){return!!this._easeFrameId},D.prototype.stop=function(){return this._stop()},D.prototype._stop=function(O,K){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var de=this._onEaseEnd;delete this._onEaseEnd,de.call(this,K)}if(!O){var ne=this.handlers;ne&&ne.stop(!1)}return this},D.prototype._ease=function(O,K,de){de.animate===!1||de.duration===0?(O(1),K()):(this._easeStart=i.browser.now(),this._easeOptions=de,this._onEaseFrame=O,this._onEaseEnd=K,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},D.prototype._renderFrameCallback=function(){var O=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(O)),O<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},D.prototype._normalizeBearing=function(O,K){O=i.wrap(O,-180,180);var de=Math.abs(O-K);return Math.abs(O-360-K)<de&&(O-=360),Math.abs(O+360-K)<de&&(O+=360),O},D.prototype._normalizeCenter=function(O){var K=this.transform;if(!(!K.renderWorldCopies||K.lngRange)){var de=O.lng-K.center.lng;O.lng+=de>180?-360:de<-180?360:0}},D})(i.Evented),Qi=function(D){D===void 0&&(D={}),this.options=D,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Qi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Qi.prototype.onAdd=function(D){var J=this.options&&this.options.compact;return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),J&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),J===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Qi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Qi.prototype._setElementTitle=function(D,J){var O=this._map._getUIString(\"AttributionControl.\"+J);D.title=O,D.setAttribute(\"aria-label\",O)},Qi.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Qi.prototype._updateEditLink=function(){var D=this._editLink;D||(D=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var J=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(D){var O=J.reduce(function(K,de,ne){return de.value&&(K+=de.key+\"=\"+de.value+(ne<J.length-1?\"&\":\"\")),K},\"?\");D.href=i.config.FEEDBACK_URL+\"/\"+O+(this._map._hash?this._map._hash.getHashString(!0):\"\"),D.rel=\"noopener nofollow\",this._setElementTitle(D,\"MapFeedback\")}},Qi.prototype._updateData=function(D){D&&(D.sourceDataType===\"metadata\"||D.sourceDataType===\"visibility\"||D.dataType===\"style\")&&(this._updateAttributions(),this._updateEditLink())},Qi.prototype._updateAttributions=function(){if(this._map.style){var D=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?D=D.concat(this.options.customAttribution.map(function(Oe){return typeof Oe!=\"string\"?\"\":Oe})):typeof this.options.customAttribution==\"string\"&&D.push(this.options.customAttribution)),this._map.style.stylesheet){var J=this._map.style.stylesheet;this.styleOwner=J.owner,this.styleId=J.id}var O=this._map.style.sourceCaches;for(var K in O){var de=O[K];if(de.used){var ne=de.getSource();ne.attribution&&D.indexOf(ne.attribution)<0&&D.push(ne.attribution)}}D.sort(function(Oe,ht){return Oe.length-ht.length}),D=D.filter(function(Oe,ht){for(var Yt=ht+1;Yt<D.length;Yt++)if(D[Yt].indexOf(Oe)>=0)return!1;return!0});var we=D.join(\" | \");we!==this._attribHTML&&(this._attribHTML=we,D.length?(this._innerContainer.innerHTML=we,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Qi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Wi=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Wi.prototype.onAdd=function(D){this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var J=o.create(\"a\",\"mapboxgl-ctrl-logo\");return J.target=\"_blank\",J.rel=\"noopener nofollow\",J.href=\"https://www.mapbox.com/\",J.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),J.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(J),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Wi.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Wi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wi.prototype._updateLogo=function(D){(!D||D.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Wi.prototype._logoRequired=function(){if(this._map.style){var D=this._map.style.sourceCaches;for(var J in D){var O=D[J].getSource();if(O.mapbox_logo)return!0}return!1}},Wi.prototype._updateCompact=function(){var D=this._container.children;if(D.length){var J=D[0];this._map.getCanvasContainer().offsetWidth<250?J.classList.add(\"mapboxgl-compact\"):J.classList.remove(\"mapboxgl-compact\")}};var oi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};oi.prototype.add=function(D){var J=++this._id,O=this._queue;return O.push({callback:D,id:J,cancelled:!1}),J},oi.prototype.remove=function(D){for(var J=this._currentlyRunning,O=J?this._queue.concat(J):this._queue,K=0,de=O;K<de.length;K+=1){var ne=de[K];if(ne.id===D){ne.cancelled=!0;return}}},oi.prototype.run=function(D){D===void 0&&(D=0);var J=this._currentlyRunning=this._queue;this._queue=[];for(var O=0,K=J;O<K.length;O+=1){var de=K[O];if(!de.cancelled&&(de.callback(D),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},oi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Tr={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Zr=i.window.HTMLImageElement,yi=i.window.HTMLElement,Ii=i.window.ImageBitmap,ui=-2,nn=22,Zi=0,qn=60,fi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:ui,maxZoom:nn,minPitch:Zi,maxPitch:qn,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},si=(function(Y){function D(O){var K=this;if(O=i.extend({},fi,O),O.minZoom!=null&&O.maxZoom!=null&&O.minZoom>O.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(O.minPitch!=null&&O.maxPitch!=null&&O.minPitch>O.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(O.minPitch!=null&&O.minPitch<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(O.maxPitch!=null&&O.maxPitch>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);var de=new wo(O.minZoom,O.maxZoom,O.minPitch,O.maxPitch,O.renderWorldCopies);if(Y.call(this,de,O),this._interactive=O.interactive,this._maxTileCacheSize=O.maxTileCacheSize,this._failIfMajorPerformanceCaveat=O.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=O.preserveDrawingBuffer,this._antialias=O.antialias,this._trackResize=O.trackResize,this._bearingSnap=O.bearingSnap,this._refreshExpiredTiles=O.refreshExpiredTiles,this._fadeDuration=O.fadeDuration,this._crossSourceCollisions=O.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=O.collectResourceTiming,this._renderTaskQueue=new oi,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Tr,O.locale),this._clickTolerance=O.clickTolerance,this._requestManager=new i.RequestManager(O.transformRequest,O.accessToken),typeof O.container==\"string\"){if(this._container=i.window.document.getElementById(O.container),!this._container)throw new Error(\"Container '\"+O.container+\"' not found.\")}else if(O.container instanceof yi)this._container=O.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(O.maxBounds&&this.setMaxBounds(O.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return K._update(!1)}),this.on(\"moveend\",function(){return K._update(!1)}),this.on(\"zoom\",function(){return K._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Si(this,O);var ne=typeof O.hash==\"string\"&&O.hash||void 0;this._hash=O.hash&&new Nl(ne).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:O.center,zoom:O.zoom,bearing:O.bearing,pitch:O.pitch}),O.bounds&&(this.resize(),this.fitBounds(O.bounds,i.extend({},O.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=O.localIdeographFontFamily,O.style&&this.setStyle(O.style,{localIdeographFontFamily:O.localIdeographFontFamily}),O.attributionControl&&this.addControl(new Qi({customAttribution:O.customAttribution})),this.addControl(new Wi,O.logoPosition),this.on(\"style.load\",function(){K.transform.unmodified&&K.jumpTo(K.style.stylesheet)}),this.on(\"data\",function(we){K._update(we.dataType===\"style\"),K.fire(new i.Event(we.dataType+\"data\",we))}),this.on(\"dataloading\",function(we){K.fire(new i.Event(we.dataType+\"dataloading\",we))})}Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D;var J={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return D.prototype._getMapId=function(){return this._mapId},D.prototype.addControl=function(K,de){if(de===void 0&&(K.getDefaultPosition?de=K.getDefaultPosition():de=\"top-right\"),!K||!K.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var ne=K.onAdd(this);this._controls.push(K);var we=this._controlPositions[de];return de.indexOf(\"bottom\")!==-1?we.insertBefore(ne,we.firstChild):we.appendChild(ne),this},D.prototype.removeControl=function(K){if(!K||!K.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=this._controls.indexOf(K);return de>-1&&this._controls.splice(de,1),K.onRemove(this),this},D.prototype.hasControl=function(K){return this._controls.indexOf(K)>-1},D.prototype.resize=function(K){var de=this._containerDimensions(),ne=de[0],we=de[1];this._resizeCanvas(ne,we),this.transform.resize(ne,we),this.painter.resize(ne,we);var Oe=!this._moving;return Oe&&(this.stop(),this.fire(new i.Event(\"movestart\",K)).fire(new i.Event(\"move\",K))),this.fire(new i.Event(\"resize\",K)),Oe&&this.fire(new i.Event(\"moveend\",K)),this},D.prototype.getBounds=function(){return this.transform.getBounds()},D.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},D.prototype.setMaxBounds=function(K){return this.transform.setMaxBounds(i.LngLatBounds.convert(K)),this._update()},D.prototype.setMinZoom=function(K){if(K=K==null?ui:K,K>=ui&&K<=this.transform.maxZoom)return this.transform.minZoom=K,this._update(),this.getZoom()<K&&this.setZoom(K),this;throw new Error(\"minZoom must be between \"+ui+\" and the current maxZoom, inclusive\")},D.prototype.getMinZoom=function(){return this.transform.minZoom},D.prototype.setMaxZoom=function(K){if(K=K==null?nn:K,K>=this.transform.minZoom)return this.transform.maxZoom=K,this._update(),this.getZoom()>K&&this.setZoom(K),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},D.prototype.getMaxZoom=function(){return this.transform.maxZoom},D.prototype.setMinPitch=function(K){if(K=K==null?Zi:K,K<Zi)throw new Error(\"minPitch must be greater than or equal to \"+Zi);if(K>=Zi&&K<=this.transform.maxPitch)return this.transform.minPitch=K,this._update(),this.getPitch()<K&&this.setPitch(K),this;throw new Error(\"minPitch must be between \"+Zi+\" and the current maxPitch, inclusive\")},D.prototype.getMinPitch=function(){return this.transform.minPitch},D.prototype.setMaxPitch=function(K){if(K=K==null?qn:K,K>qn)throw new Error(\"maxPitch must be less than or equal to \"+qn);if(K>=this.transform.minPitch)return this.transform.maxPitch=K,this._update(),this.getPitch()>K&&this.setPitch(K),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},D.prototype.getMaxPitch=function(){return this.transform.maxPitch},D.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},D.prototype.setRenderWorldCopies=function(K){return this.transform.renderWorldCopies=K,this._update()},D.prototype.project=function(K){return this.transform.locationPoint(i.LngLat.convert(K))},D.prototype.unproject=function(K){return this.transform.pointLocation(i.Point.convert(K))},D.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},D.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},D.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},D.prototype._createDelegatedListener=function(K,de,ne){var we=this,Oe;if(K===\"mouseenter\"||K===\"mouseover\"){var ht=!1,Yt=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length?ht||(ht=!0,ne.call(we,new se(K,we,It.originalEvent,{features:Bt}))):ht=!1},cr=function(){ht=!1};return{layer:de,listener:ne,delegates:{mousemove:Yt,mouseout:cr}}}else if(K===\"mouseleave\"||K===\"mouseout\"){var Nt=!1,Ne=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length?Nt=!0:Nt&&(Nt=!1,ne.call(we,new se(K,we,It.originalEvent)))},$e=function(It){Nt&&(Nt=!1,ne.call(we,new se(K,we,It.originalEvent)))};return{layer:de,listener:ne,delegates:{mousemove:Ne,mouseout:$e}}}else{var st=function(It){var Bt=we.getLayer(de)?we.queryRenderedFeatures(It.point,{layers:[de]}):[];Bt.length&&(It.features=Bt,ne.call(we,It),delete It.features)};return{layer:de,listener:ne,delegates:(Oe={},Oe[K]=st,Oe)}}},D.prototype.on=function(K,de,ne){if(ne===void 0)return Y.prototype.on.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[K]=this._delegatedListeners[K]||[],this._delegatedListeners[K].push(we);for(var Oe in we.delegates)this.on(Oe,we.delegates[Oe]);return this},D.prototype.once=function(K,de,ne){if(ne===void 0)return Y.prototype.once.call(this,K,de);var we=this._createDelegatedListener(K,de,ne);for(var Oe in we.delegates)this.once(Oe,we.delegates[Oe]);return this},D.prototype.off=function(K,de,ne){var we=this;if(ne===void 0)return Y.prototype.off.call(this,K,de);var Oe=function(ht){for(var Yt=ht[K],cr=0;cr<Yt.length;cr++){var Nt=Yt[cr];if(Nt.layer===de&&Nt.listener===ne){for(var Ne in Nt.delegates)we.off(Ne,Nt.delegates[Ne]);return Yt.splice(cr,1),we}}};return this._delegatedListeners&&this._delegatedListeners[K]&&Oe(this._delegatedListeners),this},D.prototype.queryRenderedFeatures=function(K,de){if(!this.style)return[];de===void 0&&K!==void 0&&!(K instanceof i.Point)&&!Array.isArray(K)&&(de=K,K=void 0),de=de||{},K=K||[[0,0],[this.transform.width,this.transform.height]];var ne;if(K instanceof i.Point||typeof K[0]==\"number\")ne=[i.Point.convert(K)];else{var we=i.Point.convert(K[0]),Oe=i.Point.convert(K[1]);ne=[we,new i.Point(Oe.x,we.y),Oe,new i.Point(we.x,Oe.y),we]}return this.style.queryRenderedFeatures(ne,de,this.transform)},D.prototype.querySourceFeatures=function(K,de){return this.style.querySourceFeatures(K,de)},D.prototype.setStyle=function(K,de){return de=i.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},de),de.diff!==!1&&de.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&K?(this._diffStyle(K,de),this):(this._localIdeographFontFamily=de.localIdeographFontFamily,this._updateStyle(K,de))},D.prototype._getUIString=function(K){var de=this._locale[K];if(de==null)throw new Error(\"Missing UI string '\"+K+\"'\");return de},D.prototype._updateStyle=function(K,de){if(this.style&&(this.style.setEventedParent(null),this.style._remove()),K)this.style=new yu(this,de||{});else return delete this.style,this;return this.style.setEventedParent(this,{style:this.style}),typeof K==\"string\"?this.style.loadURL(K):this.style.loadJSON(K),this},D.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new yu(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},D.prototype._diffStyle=function(K,de){var ne=this;if(typeof K==\"string\"){var we=this._requestManager.normalizeStyleURL(K),Oe=this._requestManager.transformRequest(we,i.ResourceType.Style);i.getJSON(Oe,function(ht,Yt){ht?ne.fire(new i.ErrorEvent(ht)):Yt&&ne._updateDiff(Yt,de)})}else typeof K==\"object\"&&this._updateDiff(K,de)},D.prototype._updateDiff=function(K,de){try{this.style.setState(K)&&this._update(!0)}catch(ne){i.warnOnce(\"Unable to perform style diff: \"+(ne.message||ne.error||ne)+\".  Rebuilding the style from scratch.\"),this._updateStyle(K,de)}},D.prototype.getStyle=function(){if(this.style)return this.style.serialize()},D.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():i.warnOnce(\"There is no style added to the map.\")},D.prototype.addSource=function(K,de){return this._lazyInitEmptyStyle(),this.style.addSource(K,de),this._update(!0)},D.prototype.isSourceLoaded=function(K){var de=this.style&&this.style.sourceCaches[K];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"There is no source with ID '\"+K+\"'\")));return}return de.loaded()},D.prototype.areTilesLoaded=function(){var K=this.style&&this.style.sourceCaches;for(var de in K){var ne=K[de],we=ne._tiles;for(var Oe in we){var ht=we[Oe];if(!(ht.state===\"loaded\"||ht.state===\"errored\"))return!1}}return!0},D.prototype.addSourceType=function(K,de,ne){return this._lazyInitEmptyStyle(),this.style.addSourceType(K,de,ne)},D.prototype.removeSource=function(K){return this.style.removeSource(K),this._update(!0)},D.prototype.getSource=function(K){return this.style.getSource(K)},D.prototype.addImage=function(K,de,ne){ne===void 0&&(ne={});var we=ne.pixelRatio;we===void 0&&(we=1);var Oe=ne.sdf;Oe===void 0&&(Oe=!1);var ht=ne.stretchX,Yt=ne.stretchY,cr=ne.content;this._lazyInitEmptyStyle();var Nt=0;if(de instanceof Zr||Ii&&de instanceof Ii){var Ne=i.browser.getImageData(de),$e=Ne.width,st=Ne.height,It=Ne.data;this.style.addImage(K,{data:new i.RGBAImage({width:$e,height:st},It),pixelRatio:we,stretchX:ht,stretchY:Yt,content:cr,sdf:Oe,version:Nt})}else{if(de.width===void 0||de.height===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var Bt=de.width,Ft=de.height,Ut=de.data,zt=de;this.style.addImage(K,{data:new i.RGBAImage({width:Bt,height:Ft},new Uint8Array(Ut)),pixelRatio:we,stretchX:ht,stretchY:Yt,content:cr,sdf:Oe,version:Nt,userImage:zt}),zt.onAdd&&zt.onAdd(this,K)}},D.prototype.updateImage=function(K,de){var ne=this.style.getImage(K);if(!ne)return this.fire(new i.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var we=de instanceof Zr||Ii&&de instanceof Ii?i.browser.getImageData(de):de,Oe=we.width,ht=we.height,Yt=we.data;if(Oe===void 0||ht===void 0)return this.fire(new i.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(Oe!==ne.data.width||ht!==ne.data.height)return this.fire(new i.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var cr=!(de instanceof Zr||Ii&&de instanceof Ii);ne.data.replace(Yt,cr),this.style.updateImage(K,ne)},D.prototype.hasImage=function(K){return K?!!this.style.getImage(K):(this.fire(new i.ErrorEvent(new Error(\"Missing required image id\"))),!1)},D.prototype.removeImage=function(K){this.style.removeImage(K)},D.prototype.loadImage=function(K,de){i.getImage(this._requestManager.transformRequest(K,i.ResourceType.Image),de)},D.prototype.listImages=function(){return this.style.listImages()},D.prototype.addLayer=function(K,de){return this._lazyInitEmptyStyle(),this.style.addLayer(K,de),this._update(!0)},D.prototype.moveLayer=function(K,de){return this.style.moveLayer(K,de),this._update(!0)},D.prototype.removeLayer=function(K){return this.style.removeLayer(K),this._update(!0)},D.prototype.getLayer=function(K){return this.style.getLayer(K)},D.prototype.setLayerZoomRange=function(K,de,ne){return this.style.setLayerZoomRange(K,de,ne),this._update(!0)},D.prototype.setFilter=function(K,de,ne){return ne===void 0&&(ne={}),this.style.setFilter(K,de,ne),this._update(!0)},D.prototype.getFilter=function(K){return this.style.getFilter(K)},D.prototype.setPaintProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setPaintProperty(K,de,ne,we),this._update(!0)},D.prototype.getPaintProperty=function(K,de){return this.style.getPaintProperty(K,de)},D.prototype.setLayoutProperty=function(K,de,ne,we){return we===void 0&&(we={}),this.style.setLayoutProperty(K,de,ne,we),this._update(!0)},D.prototype.getLayoutProperty=function(K,de){return this.style.getLayoutProperty(K,de)},D.prototype.setLight=function(K,de){return de===void 0&&(de={}),this._lazyInitEmptyStyle(),this.style.setLight(K,de),this._update(!0)},D.prototype.getLight=function(){return this.style.getLight()},D.prototype.setFeatureState=function(K,de){return this.style.setFeatureState(K,de),this._update()},D.prototype.removeFeatureState=function(K,de){return this.style.removeFeatureState(K,de),this._update()},D.prototype.getFeatureState=function(K){return this.style.getFeatureState(K)},D.prototype.getContainer=function(){return this._container},D.prototype.getCanvasContainer=function(){return this._canvasContainer},D.prototype.getCanvas=function(){return this._canvas},D.prototype._containerDimensions=function(){var K=0,de=0;return this._container&&(K=this._container.clientWidth||400,de=this._container.clientHeight||300),[K,de]},D.prototype._detectMissingCSS=function(){var K=i.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\");K!==\"rgb(250, 128, 114)\"&&i.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},D.prototype._setupContainer=function(){var K=this._container;K.classList.add(\"mapboxgl-map\");var de=this._missingCSSCanary=o.create(\"div\",\"mapboxgl-canary\",K);de.style.visibility=\"hidden\",this._detectMissingCSS();var ne=this._canvasContainer=o.create(\"div\",\"mapboxgl-canvas-container\",K);this._interactive&&ne.classList.add(\"mapboxgl-interactive\"),this._canvas=o.create(\"canvas\",\"mapboxgl-canvas\",ne),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var we=this._containerDimensions();this._resizeCanvas(we[0],we[1]);var Oe=this._controlContainer=o.create(\"div\",\"mapboxgl-control-container\",K),ht=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(Yt){ht[Yt]=o.create(\"div\",\"mapboxgl-ctrl-\"+Yt,Oe)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},D.prototype._resizeCanvas=function(K,de){var ne=i.browser.devicePixelRatio||1;this._canvas.width=ne*K,this._canvas.height=ne*de,this._canvas.style.width=K+\"px\",this._canvas.style.height=de+\"px\"},D.prototype._setupPainter=function(){var K=i.extend({},a.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),de=this._canvas.getContext(\"webgl\",K)||this._canvas.getContext(\"experimental-webgl\",K);if(!de){this.fire(new i.ErrorEvent(new Error(\"Failed to initialize WebGL\")));return}this.painter=new mo(de,this.transform),i.webpSupported.testSupport(de)},D.prototype._contextLost=function(K){K.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new i.Event(\"webglcontextlost\",{originalEvent:K}))},D.prototype._contextRestored=function(K){this._setupPainter(),this.resize(),this._update(),this.fire(new i.Event(\"webglcontextrestored\",{originalEvent:K}))},D.prototype._onMapScroll=function(K){if(K.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},D.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},D.prototype._update=function(K){return this.style?(this._styleDirty=this._styleDirty||K,this._sourcesDirty=!0,this.triggerRepaint(),this):this},D.prototype._requestRenderFrame=function(K){return this._update(),this._renderTaskQueue.add(K)},D.prototype._cancelRenderFrame=function(K){this._renderTaskQueue.remove(K)},D.prototype._render=function(K){var de=this,ne,we=0,Oe=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(ne=Oe.createQueryEXT(),Oe.beginQueryEXT(Oe.TIME_ELAPSED_EXT,ne),we=i.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(K),!this._removed){var ht=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var Yt=this.transform.zoom,cr=i.browser.now();this.style.zoomHistory.update(Yt,cr);var Nt=new i.EvaluationParameters(Yt,{now:cr,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ne=Nt.crossFadingFactor();(Ne!==1||Ne!==this._crossFadingFactor)&&(ht=!0,this._crossFadingFactor=Ne),this.style.update(Nt)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new i.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new i.Event(\"load\"))),this.style&&(this.style.hasTransitions()||ht)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var $e=i.browser.now()-we;Oe.endQueryEXT(Oe.TIME_ELAPSED_EXT,ne),setTimeout(function(){var Bt=Oe.getQueryObjectEXT(ne,Oe.QUERY_RESULT_EXT)/1e6;Oe.deleteQueryEXT(ne),de.fire(new i.Event(\"gpu-timing-frame\",{cpuTime:$e,gpuTime:Bt}))},50)}if(this.listens(\"gpu-timing-layer\")){var st=this.painter.collectGpuTimers();setTimeout(function(){var Bt=de.painter.queryGpuTimers(st);de.fire(new i.Event(\"gpu-timing-layer\",{layerTimes:Bt}))},50)}var It=this._sourcesDirty||this._styleDirty||this._placementDirty;return It||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new i.Event(\"idle\")),this._loaded&&!this._fullyLoaded&&!It&&(this._fullyLoaded=!0),this}},D.prototype.remove=function(){this._hash&&this._hash.remove();for(var K=0,de=this._controls;K<de.length;K+=1){var ne=de[K];ne.onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof i.window!=\"undefined\"&&(i.window.removeEventListener(\"resize\",this._onWindowResize,!1),i.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),i.window.removeEventListener(\"online\",this._onWindowOnline,!1));var we=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");we&&we.loseContext&&we.loseContext(),mn(this._canvasContainer),mn(this._controlContainer),mn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new i.Event(\"remove\"))},D.prototype.triggerRepaint=function(){var K=this;this.style&&!this._frame&&(this._frame=i.browser.frame(function(de){K._frame=null,K._render(de)}))},D.prototype._onWindowOnline=function(){this._update()},D.prototype._onWindowResize=function(K){this._trackResize&&this.resize({originalEvent:K})._update()},J.showTileBoundaries.get=function(){return!!this._showTileBoundaries},J.showTileBoundaries.set=function(O){this._showTileBoundaries!==O&&(this._showTileBoundaries=O,this._update())},J.showPadding.get=function(){return!!this._showPadding},J.showPadding.set=function(O){this._showPadding!==O&&(this._showPadding=O,this._update())},J.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},J.showCollisionBoxes.set=function(O){this._showCollisionBoxes!==O&&(this._showCollisionBoxes=O,O?this.style._generateCollisionBoxes():this._update())},J.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},J.showOverdrawInspector.set=function(O){this._showOverdrawInspector!==O&&(this._showOverdrawInspector=O,this._update())},J.repaint.get=function(){return!!this._repaint},J.repaint.set=function(O){this._repaint!==O&&(this._repaint=O,this.triggerRepaint())},J.vertices.get=function(){return!!this._vertices},J.vertices.set=function(O){this._vertices=O,this._update()},D.prototype._setCacheLimits=function(K,de){i.setCacheLimits(K,de)},J.version.get=function(){return i.version},Object.defineProperties(D.prototype,J),D})(Vn);function mn(Y){Y.parentNode&&Y.parentNode.removeChild(Y)}var Ji={showCompass:!0,showZoom:!0,visualizePitch:!1},Ui=function(D){var J=this;this.options=i.extend({},Ji,D),this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(O){return O.preventDefault()}),this.options.showZoom&&(i.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",function(O){return J._map.zoomIn({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",function(O){return J._map.zoomOut({},{originalEvent:O})}),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(i.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",function(O){J.options.visualizePitch?J._map.resetNorthPitch({},{originalEvent:O}):J._map.resetNorth({},{originalEvent:O})}),this._compassIcon=o.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ui.prototype._updateZoomButtons=function(){var D=this._map.getZoom(),J=D===this._map.getMaxZoom(),O=D===this._map.getMinZoom();this._zoomInButton.disabled=J,this._zoomOutButton.disabled=O,this._zoomInButton.setAttribute(\"aria-disabled\",J.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",O.toString())},Ui.prototype._rotateCompassArrow=function(){var D=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=D},Ui.prototype.onAdd=function(D){return this._map=D,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Bi(this._map,this._compass,this.options.visualizePitch)),this._container},Ui.prototype.onRemove=function(){o.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ui.prototype._createButton=function(D,J){var O=o.create(\"button\",D,this._container);return O.type=\"button\",O.addEventListener(\"click\",J),O},Ui.prototype._setButtonTitle=function(D,J){var O=this._map._getUIString(\"NavigationControl.\"+J);D.title=O,D.setAttribute(\"aria-label\",O)};var Bi=function(D,J,O){O===void 0&&(O=!1),this._clickTolerance=10,this.element=J,this.mouseRotate=new Pn({clickTolerance:D.dragRotate._mouseRotate._clickTolerance}),this.map=D,O&&(this.mousePitch=new kn({clickTolerance:D.dragRotate._mousePitch._clickTolerance})),i.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),o.addEventListener(J,\"mousedown\",this.mousedown),o.addEventListener(J,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(J,\"touchmove\",this.touchmove),o.addEventListener(J,\"touchend\",this.touchend),o.addEventListener(J,\"touchcancel\",this.reset)};Bi.prototype.down=function(D,J){this.mouseRotate.mousedown(D,J),this.mousePitch&&this.mousePitch.mousedown(D,J),o.disableDrag()},Bi.prototype.move=function(D,J){var O=this.map,K=this.mouseRotate.mousemoveWindow(D,J);if(K&&K.bearingDelta&&O.setBearing(O.getBearing()+K.bearingDelta),this.mousePitch){var de=this.mousePitch.mousemoveWindow(D,J);de&&de.pitchDelta&&O.setPitch(O.getPitch()+de.pitchDelta)}},Bi.prototype.off=function(){var D=this.element;o.removeEventListener(D,\"mousedown\",this.mousedown),o.removeEventListener(D,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(D,\"touchmove\",this.touchmove),o.removeEventListener(D,\"touchend\",this.touchend),o.removeEventListener(D,\"touchcancel\",this.reset),this.offTemp()},Bi.prototype.offTemp=function(){o.enableDrag(),o.removeEventListener(i.window,\"mousemove\",this.mousemove),o.removeEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousedown=function(D){this.down(i.extend({},D,{ctrlKey:!0,preventDefault:function(){return D.preventDefault()}}),o.mousePos(this.element,D)),o.addEventListener(i.window,\"mousemove\",this.mousemove),o.addEventListener(i.window,\"mouseup\",this.mouseup)},Bi.prototype.mousemove=function(D){this.move(D,o.mousePos(this.element,D))},Bi.prototype.mouseup=function(D){this.mouseRotate.mouseupWindow(D),this.mousePitch&&this.mousePitch.mouseupWindow(D),this.offTemp()},Bi.prototype.touchstart=function(D){D.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return D.preventDefault()}},this._startPos))},Bi.prototype.touchmove=function(D){D.targetTouches.length!==1?this.reset():(this._lastPos=o.touchPos(this.element,D.targetTouches)[0],this.move({preventDefault:function(){return D.preventDefault()}},this._lastPos))},Bi.prototype.touchend=function(D){D.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Bi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};function pn(Y,D,J){if(Y=new i.LngLat(Y.lng,Y.lat),D){var O=new i.LngLat(Y.lng-360,Y.lat),K=new i.LngLat(Y.lng+360,Y.lat),de=J.locationPoint(Y).distSqr(D);J.locationPoint(O).distSqr(D)<de?Y=O:J.locationPoint(K).distSqr(D)<de&&(Y=K)}for(;Math.abs(Y.lng-J.center.lng)>180;){var ne=J.locationPoint(Y);if(ne.x>=0&&ne.y>=0&&ne.x<=J.width&&ne.y<=J.height)break;Y.lng>J.center.lng?Y.lng-=360:Y.lng+=360}return Y}var Nn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function aa(Y,D,J){var O=Y.classList;for(var K in Nn)O.remove(\"mapboxgl-\"+J+\"-anchor-\"+K);O.add(\"mapboxgl-\"+J+\"-anchor-\"+D)}var Ki=(function(Y){function D(J,O){if(Y.call(this),(J instanceof i.window.HTMLElement||O)&&(J=i.extend({element:J},O)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=J&&J.anchor||\"center\",this._color=J&&J.color||\"#3FB1CE\",this._scale=J&&J.scale||1,this._draggable=J&&J.draggable||!1,this._clickTolerance=J&&J.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=J&&J.rotation||0,this._rotationAlignment=J&&J.rotationAlignment||\"auto\",this._pitchAlignment=J&&J.pitchAlignment&&J.pitchAlignment!==\"auto\"?J.pitchAlignment:this._rotationAlignment,!J||!J.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var K=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),de=41,ne=27;K.setAttributeNS(null,\"display\",\"block\"),K.setAttributeNS(null,\"height\",de+\"px\"),K.setAttributeNS(null,\"width\",ne+\"px\"),K.setAttributeNS(null,\"viewBox\",\"0 0 \"+ne+\" \"+de);var we=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");we.setAttributeNS(null,\"stroke\",\"none\"),we.setAttributeNS(null,\"stroke-width\",\"1\"),we.setAttributeNS(null,\"fill\",\"none\"),we.setAttributeNS(null,\"fill-rule\",\"evenodd\");var Oe=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Oe.setAttributeNS(null,\"fill-rule\",\"nonzero\");var ht=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");ht.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),ht.setAttributeNS(null,\"fill\",\"#000000\");for(var Yt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],cr=0,Nt=Yt;cr<Nt.length;cr+=1){var Ne=Nt[cr],$e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");$e.setAttributeNS(null,\"opacity\",\"0.04\"),$e.setAttributeNS(null,\"cx\",\"10.5\"),$e.setAttributeNS(null,\"cy\",\"5.80029008\"),$e.setAttributeNS(null,\"rx\",Ne.rx),$e.setAttributeNS(null,\"ry\",Ne.ry),ht.appendChild($e)}var st=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");st.setAttributeNS(null,\"fill\",this._color);var It=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");It.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),st.appendChild(It);var Bt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Bt.setAttributeNS(null,\"opacity\",\"0.25\"),Bt.setAttributeNS(null,\"fill\",\"#000000\");var Ft=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ft.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Bt.appendChild(Ft);var Ut=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ut.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Ut.setAttributeNS(null,\"fill\",\"#FFFFFF\");var zt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");zt.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var _t=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_t.setAttributeNS(null,\"fill\",\"#000000\"),_t.setAttributeNS(null,\"opacity\",\"0.25\"),_t.setAttributeNS(null,\"cx\",\"5.5\"),_t.setAttributeNS(null,\"cy\",\"5.5\"),_t.setAttributeNS(null,\"r\",\"5.4999962\");var Dt=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Dt.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Dt.setAttributeNS(null,\"cx\",\"5.5\"),Dt.setAttributeNS(null,\"cy\",\"5.5\"),Dt.setAttributeNS(null,\"r\",\"5.4999962\"),zt.appendChild(_t),zt.appendChild(Dt),Oe.appendChild(ht),Oe.appendChild(st),Oe.appendChild(Bt),Oe.appendChild(Ut),Oe.appendChild(zt),K.appendChild(Oe),K.setAttributeNS(null,\"height\",de*this._scale+\"px\"),K.setAttributeNS(null,\"width\",ne*this._scale+\"px\"),this._element.appendChild(K),this._offset=i.Point.convert(J&&J.offset||[0,-14])}else this._element=J.element,this._offset=i.Point.convert(J&&J.offset||[0,0]);this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(vt){vt.preventDefault()}),this._element.addEventListener(\"mousedown\",function(vt){vt.preventDefault()}),aa(this._element,this._anchor,\"marker\"),this._popup=null}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(O){return this.remove(),this._map=O,O.getCanvasContainer().appendChild(this._element),O.on(\"move\",this._update),O.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},D.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},D.prototype.getElement=function(){return this._element},D.prototype.setPopup=function(O){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),O){if(!(\"offset\"in O.options)){var K=38.1,de=13.5,ne=Math.sqrt(Math.pow(de,2)/2);O.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-K],\"bottom-left\":[ne,(K-de+ne)*-1],\"bottom-right\":[-ne,(K-de+ne)*-1],left:[de,(K-de)*-1],right:[-de,(K-de)*-1]}:this._offset}this._popup=O,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},D.prototype._onKeyPress=function(O){var K=O.code,de=O.charCode||O.keyCode;(K===\"Space\"||K===\"Enter\"||de===32||de===13)&&this.togglePopup()},D.prototype._onMapClick=function(O){var K=O.originalEvent.target,de=this._element;this._popup&&(K===de||de.contains(K))&&this.togglePopup()},D.prototype.getPopup=function(){return this._popup},D.prototype.togglePopup=function(){var O=this._popup;if(O)O.isOpen()?O.remove():O.addTo(this._map);else return this;return this},D.prototype._update=function(O){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var K=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?K=\"rotateZ(\"+this._rotation+\"deg)\":this._rotationAlignment===\"map\"&&(K=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var de=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?de=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(de=\"rotateX(\"+this._map.getPitch()+\"deg)\"),(!O||O.type===\"moveend\")&&(this._pos=this._pos.round()),o.setTransform(this._element,Nn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+de+\" \"+K)}},D.prototype.getOffset=function(){return this._offset},D.prototype.setOffset=function(O){return this._offset=i.Point.convert(O),this._update(),this},D.prototype._onMove=function(O){if(!this._isDragging){var K=this._clickTolerance||this._map._clickTolerance;this._isDragging=O.point.dist(this._pointerdownPos)>=K}this._isDragging&&(this._pos=O.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},D.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},D.prototype._addDragHandler=function(O){this._element.contains(O.originalEvent.target)&&(O.preventDefault(),this._positionDelta=O.point.sub(this._pos).add(this._offset),this._pointerdownPos=O.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},D.prototype.setDraggable=function(O){return this._draggable=!!O,this._map&&(O?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},D.prototype.isDraggable=function(){return this._draggable},D.prototype.setRotation=function(O){return this._rotation=O||0,this._update(),this},D.prototype.getRotation=function(){return this._rotation},D.prototype.setRotationAlignment=function(O){return this._rotationAlignment=O||\"auto\",this._update(),this},D.prototype.getRotationAlignment=function(){return this._rotationAlignment},D.prototype.setPitchAlignment=function(O){return this._pitchAlignment=O&&O!==\"auto\"?O:this._rotationAlignment,this._update(),this},D.prototype.getPitchAlignment=function(){return this._pitchAlignment},D})(i.Evented),Cn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},ia;function sa(Y){ia!==void 0?Y(ia):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(D){ia=D.state!==\"denied\",Y(ia)}):(ia=!!i.window.navigator.geolocation,Y(ia))}var ba=0,is=!1,Zs=(function(Y){function D(J){Y.call(this),this.options=i.extend({},Cn,J),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.onAdd=function(O){return this._map=O,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),sa(this._setupUI),this._container},D.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,ba=0,is=!1},D.prototype._isOutOfMapMaxBounds=function(O){var K=this._map.getMaxBounds(),de=O.coords;return K&&(de.longitude<K.getWest()||de.longitude>K.getEast()||de.latitude<K.getSouth()||de.latitude>K.getNorth())},D.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},D.prototype._onSuccess=function(O){if(this._map){if(this._isOutOfMapMaxBounds(O)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",O)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=O,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(O),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(O),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",O)),this._finish()}},D.prototype._updateCamera=function(O){var K=new i.LngLat(O.coords.longitude,O.coords.latitude),de=O.coords.accuracy,ne=this._map.getBearing(),we=i.extend({bearing:ne},this.options.fitBoundsOptions);this._map.fitBounds(K.toBounds(de),we,{geolocateSource:!0})},D.prototype._updateMarker=function(O){if(O){var K=new i.LngLat(O.coords.longitude,O.coords.latitude);this._accuracyCircleMarker.setLngLat(K).addTo(this._map),this._userLocationDotMarker.setLngLat(K).addTo(this._map),this._accuracy=O.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},D.prototype._updateCircleRadius=function(){var O=this._map._container.clientHeight/2,K=this._map.unproject([0,O]),de=this._map.unproject([1,O]),ne=K.distanceTo(de),we=Math.ceil(2*this._accuracy/ne);this._circleElement.style.width=we+\"px\",this._circleElement.style.height=we+\"px\"},D.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},D.prototype._onError=function(O){if(this._map){if(this.options.trackUserLocation)if(O.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var K=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=K,this._geolocateButton.setAttribute(\"aria-label\",K),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(O.code===3&&is)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",O)),this._finish()}},D.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},D.prototype._setupUI=function(O){var K=this;if(this._container.addEventListener(\"contextmenu\",function(we){return we.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",O===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var de=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}else{var ne=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=ne,this._geolocateButton.setAttribute(\"aria-label\",ne)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Ki(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ki({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(we){var Oe=we.originalEvent&&we.originalEvent.type===\"resize\";!we.geolocateSource&&K._watchState===\"ACTIVE_LOCK\"&&!Oe&&(K._watchState=\"BACKGROUND\",K._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),K._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),K.fire(new i.Event(\"trackuserlocationend\")))})},D.prototype.trigger=function(){if(!this._setup)return i.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":ba--,is=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new i.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new i.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),ba++;var O;ba>1?(O={maximumAge:6e5,timeout:0},is=!0):(O=this.options.positionOptions,is=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,O)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},D.prototype._clearWatch=function(){i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},D})(i.Evented),Ga={maxWidth:100,unit:\"metric\"},El=function(D){this.options=i.extend({},Ga,D),i.bindAll([\"_onMove\",\"setUnit\"],this)};El.prototype.getDefaultPosition=function(){return\"bottom-left\"},El.prototype._onMove=function(){zo(this._map,this._container,this.options)},El.prototype.onAdd=function(D){return this._map=D,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",D.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},El.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},El.prototype.setUnit=function(D){this.options.unit=D,zo(this._map,this._container,this.options)};function zo(Y,D,J){var O=J&&J.maxWidth||100,K=Y._container.clientHeight/2,de=Y.unproject([0,K]),ne=Y.unproject([O,K]),we=de.distanceTo(ne);if(J&&J.unit===\"imperial\"){var Oe=3.2808*we;if(Oe>5280){var ht=Oe/5280;Qs(D,O,ht,Y._getUIString(\"ScaleControl.Miles\"))}else Qs(D,O,Oe,Y._getUIString(\"ScaleControl.Feet\"))}else if(J&&J.unit===\"nautical\"){var Yt=we/1852;Qs(D,O,Yt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else we>=1e3?Qs(D,O,we/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):Qs(D,O,we,Y._getUIString(\"ScaleControl.Meters\"))}function Qs(Y,D,J,O){var K=Ul(J),de=K/J;Y.style.width=D*de+\"px\",Y.innerHTML=K+\"&nbsp;\"+O}function nl(Y){var D=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*D)/D}function Ul(Y){var D=Math.pow(10,(\"\"+Math.floor(Y)).length-1),J=Y/D;return J=J>=10?10:J>=5?5:J>=3?3:J>=2?2:J>=1?1:nl(J),D*J}var ss=function(D){this._fullscreen=!1,D&&D.container&&(D.container instanceof i.window.HTMLElement?this._container=D.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ss.prototype.onAdd=function(D){return this._map=D,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ss.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},ss.prototype._setupUI=function(){var D=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",D).setAttribute(\"aria-hidden\",!0),D.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ss.prototype._updateTitle=function(){var D=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",D),this._fullscreenButton.title=D},ss.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ss.prototype._isFullscreen=function(){return this._fullscreen},ss.prototype._changeIcon=function(){var D=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;D===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ss.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Vs={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},Ys=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),wa=(function(Y){function D(J){Y.call(this),this.options=i.extend(Object.create(Vs),J),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(D.__proto__=Y),D.prototype=Object.create(Y&&Y.prototype),D.prototype.constructor=D,D.prototype.addTo=function(O){return this._map&&this.remove(),this._map=O,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new i.Event(\"open\")),this},D.prototype.isOpen=function(){return!!this._map},D.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},D.prototype.getLngLat=function(){return this._lngLat},D.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},D.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},D.prototype.getElement=function(){return this._container},D.prototype.setText=function(O){return this.setDOMContent(i.window.document.createTextNode(O))},D.prototype.setHTML=function(O){var K=i.window.document.createDocumentFragment(),de=i.window.document.createElement(\"body\"),ne;for(de.innerHTML=O;ne=de.firstChild,!!ne;)K.appendChild(ne);return this.setDOMContent(K)},D.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},D.prototype.setMaxWidth=function(O){return this.options.maxWidth=O,this._update(),this},D.prototype.setDOMContent=function(O){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(O),this._createCloseButton(),this._update(),this._focusFirstElement(),this},D.prototype.addClassName=function(O){this._container&&this._container.classList.add(O)},D.prototype.removeClassName=function(O){this._container&&this._container.classList.remove(O)},D.prototype.setOffset=function(O){return this.options.offset=O,this._update(),this},D.prototype.toggleClassName=function(O){if(this._container)return this._container.classList.toggle(O)},D.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},D.prototype._onMouseUp=function(O){this._update(O.point)},D.prototype._onMouseMove=function(O){this._update(O.point)},D.prototype._onDrag=function(O){this._update(O.point)},D.prototype._update=function(O){var K=this,de=this._lngLat||this._trackPointer;if(!(!this._map||!de||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(Ne){return K._container.classList.add(Ne)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=pn(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!O))){var ne=this._pos=this._trackPointer&&O?O:this._map.project(this._lngLat),we=this.options.anchor,Oe=al(this.options.offset);if(!we){var ht=this._container.offsetWidth,Yt=this._container.offsetHeight,cr;ne.y+Oe.bottom.y<Yt?cr=[\"top\"]:ne.y>this._map.transform.height-Yt?cr=[\"bottom\"]:cr=[],ne.x<ht/2?cr.push(\"left\"):ne.x>this._map.transform.width-ht/2&&cr.push(\"right\"),cr.length===0?we=\"bottom\":we=cr.join(\"-\")}var Nt=ne.add(Oe[we]).round();o.setTransform(this._container,Nn[we]+\" translate(\"+Nt.x+\"px,\"+Nt.y+\"px)\"),aa(this._container,we,\"popup\")}},D.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var O=this._container.querySelector(Ys);O&&O.focus()}},D.prototype._onClose=function(){this.remove()},D})(i.Evented);function al(Y){if(Y)if(typeof Y==\"number\"){var D=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(D,D),\"top-right\":new i.Point(-D,D),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(D,-D),\"bottom-right\":new i.Point(-D,-D),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var J=i.Point.convert(Y);return{center:J,top:J,\"top-left\":J,\"top-right\":J,bottom:J,\"bottom-left\":J,\"bottom-right\":J,left:J,right:J}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return al(new i.Point(0,0))}var io={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:si,NavigationControl:Ui,GeolocateControl:Zs,AttributionControl:Qi,ScaleControl:El,FullscreenControl:ss,Popup:wa,Marker:Ki,Style:yu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:ua,clearPrewarmedResources:ma,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return fn.workerCount},set workerCount(Y){fn.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(D){i.clearTileCache(D)},workerUrl:\"\"};return io}),r}))});var EGe=ye((obr,MGe)=>{\"use strict\";var gw=Pr(),_Wt=Zl().sanitizeHTML,xWt=vJ(),TGe=y1();function AGe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=TGe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=AGe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=o7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!o7(e)){var r=bWt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(TGe.traceLayerPrefix)===0){e=n;break}}return e};ag.updateLayer=function(e){var t=this.subplot,r=SGe(e),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),o7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};ag.updateStyle=function(e){if(o7(e)){var t=SGe(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};ag.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};ag.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function o7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return gw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function SGe(e){var t={},r={};switch(e.type){case\"circle\":gw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":gw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":gw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=xWt(n.textposition,n.iconsize);gw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),gw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":gw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function bWt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=_Wt(e.sourceattribution)),n}MGe.exports=function(t,r,n){var i=new AGe(t,r);return i.update(n),i}});var zGe=ye((sbr,FGe)=>{\"use strict\";var bJ=xJ(),wJ=Pr(),PGe=ey(),kGe=Oa(),wWt=ho(),TWt=yv(),s7=ef(),IGe=Cg(),AWt=IGe.drawMode,SWt=IGe.selectMode,MWt=qf().prepSelect,EWt=qf().clearOutline,kWt=qf().clearSelectionsCache,CWt=qf().selectOnClick,Cx=y1(),LWt=EGe();function RGe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Gh=RGe.prototype;Gh.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Gh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=DGe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new bJ.Map({container:i.div,style:o.style,center:TJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new bJ.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(PGe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Gh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=DGe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(PGe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Gh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var CGe={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};Gh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return CGe[f[0].trace.type]-CGe[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Gh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(TJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.mapbox?t.scrollZoom.enable():t.scrollZoom.disable()};Gh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Gh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(Cx.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Gh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},wWt.setConvert(t.mockAxis,e)};Gh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];kGe.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&s7.hover(n,s,r.id)},s7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){s7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];kGe.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(TJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){kWt(r.dragOptions),EWt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&CWt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&s7.click(n,l.originalEvent)}}};Gh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=wJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),SWt(a)||AWt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){MWt(l,u,c,t.dragOptions,a)},TWt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Gh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Gh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(LWt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Gh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Gh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Gh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Gh.getMapLayers=function(){return this.map.getStyle().layers};Gh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}wJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Gh.project=function(e){return this.map.project(new bJ.LngLat(e[0],e[1]))};Gh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Gh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Gh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function DGe(e,t){var r={};if(wJ.isPlainObject(e))r.id=e.id,r.style=e;else if(typeof e==\"string\")if(r.id=e,Cx.styleValuesMapbox.indexOf(e)!==-1)r.style=LGe(e);else if(Cx.stylesNonMapbox[e]){r.style=Cx.stylesNonMapbox[e];var n=r.style.sources[\"plotly-\"+e],i=n?n.tiles:void 0;i&&i[0]&&i[0].slice(-9)===\"?api_key=\"&&(i[0]+=t._mapboxAccessToken)}else r.style=e;else r.id=Cx.styleValueDflt,r.style=LGe(Cx.styleValueDflt);return r.transition={duration:0,delay:0},r}function LGe(e){return Cx.styleUrlPrefix+e+\"-\"+Cx.styleUrlSuffix}function TJ(e){return[e.lon,e.lat]}FGe.exports=RGe});var BGe=ye((lbr,OGe)=>{\"use strict\";var AJ=Pr(),PWt=O_(),IWt=Kd(),qGe=Jk();OGe.exports=function(t,r,n){PWt(t,r,n,{type:\"mapbox\",attributes:qGe,handleDefaults:RWt,partition:\"y\",accessToken:r._mapboxAccessToken})};function RWt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,IWt(e,t,{name:\"layers\",handleItemDefaults:DWt}),t._input=e}function DWt(e,t){function r(l,u){return AJ.coerce(e,t,qGe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",AJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),AJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var l7=ye(Np=>{\"use strict\";var NGe=xJ(),nm=Pr(),SJ=nm.strTranslate,FWt=nm.strScale,zWt=Id().getSubplotCalcData,qWt=Wp(),OWt=Fa(),UGe=So(),BWt=Zl(),NWt=zGe(),Lx=\"mapbox\",ly=Np.constants=y1();Np.name=Lx;Np.attr=\"subplot\";Np.idRoot=Lx;Np.idRegex=Np.attrRegex=nm.counterRegex(Lx);var UWt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Jk();Np.supplyLayoutDefaults=BGe();var VGe=!0;Np.plot=function(t){VGe&&(VGe=!1,nm.warn(UWt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[Lx];if(NGe.version!==ly.requiredVersion)throw new Error(ly.wrongVersionErrorMsg);var a=VWt(t,i);NGe.accessToken=a;for(var o=0;o<i.length;o++){var s=i[o],l=zWt(n,Lx,s),u=r[s],c=u._subplot;c||(c=new NWt(t,s),r[s]._subplot=c),c.viewInitial||(c.viewInitial={center:nm.extendFlat({},u.center),zoom:u.zoom,bearing:u.bearing,pitch:u.pitch}),c.plot(l,r,t._promises)}};Np.clean=function(e,t,r,n){for(var i=n._subplots[Lx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};Np.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Lx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:qWt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=OWt.select(a._subplot.div),f=c.select(\".mapboxgl-ctrl-logo\").node().offsetParent===null;if(!f){var h=t._glimages.append(\"g\");h.attr(\"transform\",SJ(n.l+n.w*o.x[0]+10,n.t+n.h*(1-o.y[0])-31)),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"path\").attr(\"d\",ly.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),h.append(\"polygon\").attr(\"points\",ly.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var d=c.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=t._glimages.append(\"g\"),m=v.append(\"text\");m.text(d).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":d});var b=UGe.bBox(m.node()),p=n.w*(o.x[1]-o.x[0]);if(b.width>p/2){var k=d.split(\"|\").join(\"<br>\");m.text(k).attr(\"data-unformatted\",k).call(BWt.convertToTspans,e),b=UGe.bBox(m.node())}m.attr(\"transform\",SJ(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var M=1;b.width+6>p&&(M=p/(b.width+6));var T=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",SJ(T[0],T[1])+FWt(M))}};function VWt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l<t.length;l++){var u=r[t[l]],c=u.accesstoken;GGe(u.style)&&(c?nm.pushUnique(i,c):(GGe(u._input.style)&&(nm.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),c&&nm.pushUnique(a,c)}if(s){var f=o?ly.noAccessTokenErrorMsg:ly.missingStyleErrorMsg;throw nm.error(f),new Error(f)}return i.length?(i.length>1&&nm.warn(ly.multipleTokensErrorMsg),i[0]):(a.length&&nm.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}function GGe(e){return typeof e==\"string\"&&(ly.styleValuesMapbox.indexOf(e)!==-1||e.indexOf(\"mapbox://\")===0||e.indexOf(\"stamen\")===0)}Np.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Lx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var jGe=ye((fbr,HGe)=>{\"use strict\";var cbr=[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");HGe.exports={attributes:e7(),supplyDefaults:rGe(),colorbar:Qd(),formatLabels:dJ(),calc:TF(),plot:gGe(),hoverPoints:a7().hoverPoints,eventData:xGe(),selectPoints:wGe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:l7(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var XGe=ye((hbr,WGe)=>{\"use strict\";WGe.exports=jGe()});var MJ=ye((dbr,ZGe)=>{\"use strict\";var _1=l5(),GWt=Tu(),{hovertemplateAttrs:HWt,templatefallbackAttrs:jWt}=Pl(),WWt=Vl(),Px=Ao().extendFlat;ZGe.exports=Px({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Px({},_1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:_1.text,hovertext:_1.hovertext,marker:{line:{color:Px({},_1.marker.line.color,{editType:\"plot\"}),width:Px({},_1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Px({},_1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Px({},_1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Px({},_1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:_1.hoverinfo,hovertemplate:HWt({},{keys:[\"properties\"]}),hovertemplatefallback:jWt(),showlegend:Px({},WWt.showlegend,{dflt:!1})},GWt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KGe=ye((vbr,YGe)=>{\"use strict\";var tC=Pr(),XWt=td(),ZWt=MJ();YGe.exports=function(t,r,n,i){function a(c,f){return tC.coerce(t,r,ZWt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!tC.isArrayOrTypedArray(o)||!o.length||!tC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||tC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),XWt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),tC.coerceSelectionMarkerOpacity(r,a)}});var EJ=ye((pbr,QGe)=>{\"use strict\";var YWt=Eo(),x1=Pr(),KWt=tc(),JWt=So(),$Wt=hx().makeBlank,JGe=ey();function QWt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:$Wt()};if(!r)return a;var o=JGe.extractTraceFeature(e);if(!o)return a;var s=KWt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;x1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var M=k.mo;return YWt(M)?+x1.constrain(M,0,1):0});var f;x1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;x1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],m=v.fOut;if(m){var b=m.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=JGe.feature2polygons(m)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return x1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),x1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},$Ge(e),a}function $Ge(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=JWt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=x1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return x1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),x1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}QGe.exports={convert:QWt,convertOnSelect:$Ge}});var nHe=ye((gbr,iHe)=>{\"use strict\";var tHe=EJ().convert,eXt=EJ().convertOnSelect,eHe=y1().traceLayerPrefix;function rHe(e,t){this.type=\"choroplethmapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",eHe+t+\"-fill\"],[\"line\",eHe+t+\"-line\"]],this.below=null}var R5=rHe.prototype;R5.update=function(e){this._update(tHe(e)),e[0].trace._glTrace=this};R5.updateOnSelect=function(e){this._update(eXt(e))};R5._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=e[o];t.setOptions(s,\"setLayoutProperty\",l.layout),l.layout.visibility===\"visible\"&&t.setOptions(s,\"setPaintProperty\",l.paint)}};R5._addLayers=function(e,t){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=e[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},t)}};R5._removeLayers=function(){for(var e=this.subplot.map,t=this.layerList,r=t.length-1;r>=0;r--)e.removeLayer(t[r][1])};R5.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};iHe.exports=function(t,r){var n=r[0].trace,i=new rHe(t,n.uid),a=i.sourceId,o=tHe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return t.map.addSource(a,{type:\"geojson\",data:o.geojson}),i._addLayers(o,s),r[0].trace._glTrace=i,i}});var oHe=ye((ybr,aHe)=>{\"use strict\";var mbr=[\"*choroplethmapbox* trace is deprecated!\",\"Please consider switching to the *choroplethmap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");aHe.exports={attributes:MJ(),supplyDefaults:KGe(),colorbar:F_(),calc:HF(),plot:nHe(),hoverPoints:WF(),eventData:XF(),selectPoints:ZF(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.updateOnSelect(t)}},getBelow:function(e,t){for(var r=t.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(typeof i==\"string\"&&i.indexOf(\"water\")===0){for(var a=n+1;a<r.length;a++)if(i=r[a].id,typeof i==\"string\"&&i.indexOf(\"plotly-\")===-1)return i}}},moduleType:\"trace\",name:\"choroplethmapbox\",basePlotModule:l7(),categories:[\"mapbox\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_mapbox\"}}});var lHe=ye((_br,sHe)=>{\"use strict\";sHe.exports=oHe()});var CJ=ye((xbr,cHe)=>{\"use strict\";var tXt=Tu(),{hovertemplateAttrs:rXt,templatefallbackAttrs:iXt}=Pl(),uHe=Vl(),u7=e7(),kJ=Ao().extendFlat;cHe.exports=kJ({lon:u7.lon,lat:u7.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:u7.text,hovertext:u7.hovertext,hoverinfo:kJ({},uHe.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:rXt(),hovertemplatefallback:iXt(),showlegend:kJ({},uHe.showlegend,{dflt:!1})},tXt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var hHe=ye((bbr,fHe)=>{\"use strict\";var nXt=Pr(),aXt=td(),oXt=CJ();fHe.exports=function(t,r,n,i){function a(u,c){return nXt.coerce(t,r,oXt,u,c)}var o=a(\"lon\")||[],s=a(\"lat\")||[],l=Math.min(o.length,s.length);if(!l){r.visible=!1;return}r._length=l,a(\"z\"),a(\"radius\"),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),aXt(t,r,i,a,{prefix:\"\",cLetter:\"z\"})}});var pHe=ye((wbr,vHe)=>{\"use strict\";var LJ=Eo(),sXt=Pr().isArrayOrTypedArray,PJ=fs().BADNUM,lXt=gv(),dHe=Pr()._;vHe.exports=function(t,r){for(var n=r._length,i=new Array(n),a=r.z,o=sXt(a)&&a.length,s=0;s<n;s++){var l=i[s]={},u=r.lon[s],c=r.lat[s];if(l.lonlat=LJ(u)&&LJ(c)?[+u,+c]:[PJ,PJ],o){var f=a[s];l.z=LJ(f)?f:PJ}}return lXt(t,r,{vals:o?a:[0,1],containerStr:\"\",cLetter:\"z\"}),n&&(i[0].t={labels:{lat:dHe(t,\"lat:\")+\" \",lon:dHe(t,\"lon:\")+\" \"}}),i}});var xHe=ye((Tbr,_He)=>{\"use strict\";var uXt=Eo(),IJ=Pr(),gHe=ka(),mHe=tc(),yHe=fs().BADNUM,cXt=hx().makeBlank;_He.exports=function(t){var r=t[0].trace,n=r.visible===!0&&r._length!==0,i={layout:{visibility:\"none\"},paint:{}},a=r._opts={heatmap:i,geojson:cXt()};if(!n)return a;var o=[],s,l=r.z,u=r.radius,c=IJ.isArrayOrTypedArray(l)&&l.length,f=IJ.isArrayOrTypedArray(u);for(s=0;s<t.length;s++){var h=t[s],d=h.lonlat;if(d[0]!==yHe){var v={};if(c){var m=h.z;v.z=m!==yHe?m:0}f&&(v.r=uXt(u[s])&&u[s]>0?+u[s]:0),o.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:d},properties:v})}}var b=mHe.extractOpts(r),p=b.reversescale?mHe.flipScale(b.colorscale):b.colorscale,k=p[0][1],M=gHe.opacity(k)<1?k:gHe.addOpacity(k,0),T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,M];for(s=1;s<p.length;s++)T.push(p[s][0],p[s][1]);var L=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return IJ.extendFlat(a.heatmap.paint,{\"heatmap-weight\":c?L:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":f?{type:\"identity\",property:\"r\"}:r.radius,\"heatmap-opacity\":r.opacity}),a.geojson={type:\"FeatureCollection\",features:o},a.heatmap.layout.visibility=\"visible\",a}});var AHe=ye((Abr,THe)=>{\"use strict\";var bHe=xHe(),fXt=y1().traceLayerPrefix;function wHe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",fXt+t+\"-heatmap\"]],this.below=null}var c7=wHe.prototype;c7.update=function(e){var t=this.subplot,r=this.layerList,n=bHe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a<r.length;a++){var o=r[a],s=o[0],l=o[1],u=n[s];t.setOptions(l,\"setLayoutProperty\",u.layout),u.layout.visibility===\"visible\"&&t.setOptions(l,\"setPaintProperty\",u.paint)}};c7._addLayers=function(e,t){for(var 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RJ=ye((Fbr,JHe)=>{\"use strict\";var FXt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];JHe.exports={isSupportedFont:function(e){return FXt.indexOf(e)!==-1}}});var eje=ye((zbr,QHe)=>{\"use strict\";var nC=Pr(),DJ=Ru(),zXt=$p(),qXt=D0(),OXt=F0(),BXt=Fg(),$He=h7(),NXt=RJ().isSupportedFont;QHe.exports=function(t,r,n,i){function a(p,k){return nC.coerce(t,r,$He,p,k)}function o(p,k){return nC.coerce2(t,r,$He,p,k)}var s=UXt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"texttemplatefallback\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\"),a(\"mode\"),a(\"below\"),DJ.hasMarkers(r)){zXt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(nC.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),nC.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}DJ.hasLines(r)&&(qXt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,m=a(\"cluster.enabled\",v);if(m||DJ.hasText(r)){var b=i.font.family;OXt(t,r,i,a,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:NXt(b)?b:\"Open Sans Regular\",weight:i.font.weight,style:i.font.style,size:i.font.size,color:i.font.color}})}a(\"fill\"),r.fill!==\"none\"&&BXt(t,r,n,a),nC.coerceSelectionMarkerOpacity(r,a)};function UXt(e,t,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return t._length=a,a}});var FJ=ye((qbr,rje)=>{\"use strict\";var tje=ho();rje.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot,o=a.mockAxis,s=t.lonlat;return i.lonLabel=tje.tickText(o,o.c2l(s[0]),!0).text,i.latLabel=tje.tickText(o,o.c2l(s[1]),!0).text,i}});var zJ=ye((Obr,nje)=>{\"use strict\";var ije=Pr();nje.exports=function(t,r){var n=t.split(\" 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p;if((a||o)&&(p=v7.calcTraceToLineCoords(r)),a&&(h.geojson=v7.makePolygon(p),h.layout.visibility=\"visible\",sv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=v7.makeLine(p),d.layout.visibility=\"visible\",sv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var k=KXt(r);v.geojson=k.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":OJ(n.cluster.color,n.cluster.step),\"circle-radius\":OJ(n.cluster.size,n.cluster.step),\"circle-opacity\":OJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":oje(n),\"text-size\":12}}),sv.extendFlat(v.paint,{\"circle-color\":k.mcc,\"circle-radius\":k.mrc,\"circle-opacity\":k.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(m.geojson=JXt(r,t),sv.extendFlat(m.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(sv.extendFlat(m.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in n.marker&&n.marker.angle!==\"auto\"&&sv.extendFlat(m.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),m.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,sv.extendFlat(m.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var M=(n.marker||{}).size,T=WXt(n.textposition,M);sv.extendFlat(m.layout,{\"text-size\":n.textfont.size,\"text-anchor\":T.anchor,\"text-offset\":T.offset,\"text-font\":oje(n)}),sv.extendFlat(m.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function d7(e){return{type:e,geojson:v7.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function KXt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=sv.isArrayOrTypedArray(r.color),a=sv.isArrayOrTypedArray(r.size),o=sv.isArrayOrTypedArray(r.opacity),s;function l(M){return t.opacity*M}function u(M){return M/2}var c;i&&(aje.hasColorscale(t,\"marker\")?c=aje.makeColorScaleFuncFromTrace(r):c=sv.identity);var f;a&&(f=HXt(t));var h;o&&(h=function(M){var T=sje(M)?+sv.constrain(M,0,1):0;return l(T)});var d=[];for(s=0;s<e.length;s++){var v=e[s],m=v.lonlat;if(!lje(m)){var b={};c&&(b.mcc=v.mcc=c(v.mc)),f&&(b.mrc=v.mrc=f(v.ms)),h&&(b.mo=h(v.mo)),n&&(b.selected=v.selected||0),d.push({type:\"Feature\",id:s+1,geometry:{type:\"Point\",coordinates:m},properties:b})}}var p;if(n)for(p=GXt.makeSelectedPointStyleFns(t),s=0;s<d.length;s++){var k=d[s].properties;p.selectedOpacityFn&&(k.mo=l(p.selectedOpacityFn(k))),p.selectedColorFn&&(k.mcc=p.selectedColorFn(k)),p.selectedSizeFn&&(k.mrc=p.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:d},mcc:i||p&&p.selectedColorFn?{type:\"identity\",property:\"mcc\"}:r.color,mrc:a||p&&p.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:u(r.size),mo:o||p&&p.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:l(r.opacity)}}function JXt(e,t){for(var r=t._fullLayout,n=e[0].trace,i=n.marker||{},a=i.symbol,o=i.angle,s=a!==\"circle\"?qJ(a):g7,l=o!==\"auto\"?qJ(o,!0):g7,u=p7.hasText(n)?qJ(n.text):g7,c=[],f=0;f<e.length;f++){var h=e[f];if(!lje(h.lonlat)){var d=n.texttemplate,v;if(d){var m=Array.isArray(d)?d[f]||\"\":d,b=n._module.formatLabels(h,n,r),p={};XXt(p,n,h.i),v=sv.texttemplateString({data:[p,h,n._meta],fallback:n.texttemplatefallback,labels:b,locale:r._d3locale,template:m})}else v=u(f);v&&(v=v.replace(ZXt,\"\").replace(YXt,`\n",
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hje(e,t,r,n){this.type=\"scattermap\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:z5+t+\"-fill\",line:z5+t+\"-line\",circle:z5+t+\"-circle\",symbol:z5+t+\"-symbol\",cluster:z5+t+\"-cluster\",clusterCount:z5+t+\"-cluster-count\"},this.below=null}var aC=hje.prototype;aC.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&$Xt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};aC.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};aC.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===i){a=!0;break}a?(this.subplot.setOptions(i,\"setLayoutProperty\",n.layout),n.layout.visibility===\"visible\"&&this.subplot.setOptions(i,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)};aC.update=function(t){var r=t[0].trace,n=this.subplot,i=n.map,a=fje(n.gd,t),o=n.belowLookup[\"trace-\"+this.uid],s=!!(r.cluster&&r.cluster.enabled),l=!!this.clusterEnabled,u=this;function c(M){M||u.addSource(\"circle\",a.circle,r.cluster);for(var T=og.cluster,L=0;L<T.length;L++){var x=T[L],C=a[x];u.addLayer(x,C,o)}}function f(M){for(var T=og.cluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x])}M||i.removeSource(u.sourceIds.circle)}function h(M){for(var T=og.nonCluster,L=0;L<T.length;L++){var x=T[L],C=a[x];M||u.addSource(x,C),u.addLayer(x,C,o)}}function d(M){for(var T=og.nonCluster,L=T.length-1;L>=0;L--){var x=T[L];i.removeLayer(u.layerIds[x]),M||i.removeSource(u.sourceIds[x])}}function v(M){l?f(M):d(M)}function m(M){s?c(M):h(M)}function b(){for(var M=s?og.cluster:og.nonCluster,T=0;T<M.length;T++){var L=M[T],x=a[L];x&&(n.setOptions(u.layerIds[L],\"setLayoutProperty\",x.layout),x.layout.visibility===\"visible\"&&(L!==\"cluster\"&&u.setSourceData(L,x),n.setOptions(u.layerIds[L],\"setPaintProperty\",x.paint)))}}var p=this.isHidden,k=r.visible!==!0;k?p||v():p?k||m():l!==s?(v(),m()):(this.below!==o&&(v(!0),m(!0)),b()),this.clusterEnabled=s,this.isHidden=k,this.below=o,t[0].trace._glTrace=this};aC.dispose=function(){for(var t=this.subplot.map,r=this.clusterEnabled?og.cluster:og.nonCluster,n=r.length-1;n>=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};dje.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new hje(t,n.uid,i,a),s=fje(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u<og.cluster.length;u++)c=og.cluster[u],f=s[c],o.addLayer(c,f,l);else for(u=0;u<og.nonCluster.length;u++)c=og.nonCluster[u],f=s[c],o.addSource(c,f,n.cluster),o.addLayer(c,f,l);return r[0].trace._glTrace=o,o}});var m7=ye((Ubr,gje)=>{\"use strict\";var QXt=ef(),BJ=Pr(),eZt=xT(),tZt=BJ.fillText,rZt=fs().BADNUM,iZt=Ix().traceLayerPrefix;function nZt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=iZt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(S){return S.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function m(S){var g=S.lonlat;if(g[0]===rZt||c&&l.indexOf(S.i+1)===-1)return 1/0;var P=BJ.modHalf(g[0],360),E=g[1],z=s.project([P,E]),q=z.x-a.c2p([v,E]),V=z.y-o.c2p([P,r]),G=Math.max(3,S.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-G,1-3/G)}if(QXt.getClosest(n,m,e),e.index!==!1){var b=n[e.index],p=b.lonlat,k=[BJ.modHalf(p[0],360)+d,p[1]],M=a.c2p(k),T=o.c2p(k),L=b.mrc||1;e.x0=M-L,e.x1=M+L,e.y0=T-L,e.y1=T+L;var x={};x[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,x);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=eZt(i,b),e.extraText=pje(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function pje(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&tZt(t,e,u),u.join(\"<br>\")}gje.exports={hoverPoints:nZt,getExtraText:pje}});var yje=ye((Vbr,mje)=>{\"use strict\";mje.exports=function(t,r){return t.lon=r.lon,t.lat=r.lat,t}});var xje=ye((Gbr,_je)=>{\"use strict\";var 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0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(A):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(A):void 0}).format(this.number.evaluate(A))}eachChild(A){A(this.number),this.locale&&A(this.locale),this.currency&&A(this.currency),this.minFractionDigits&&A(this.minFractionDigits),this.maxFractionDigits&&A(this.maxFractionDigits)}outputDefined(){return!1}}class Yl{constructor(A){this.type=ei,this.sections=A}static parse(A,F){if(A.length<2)return F.error(\"Expected at least one argument.\");let W=A[1];if(!Array.isArray(W)&&typeof W==\"object\")return F.error(\"First argument must be an image or text section.\");let te=[],fe=!1;for(let pe=1;pe<=A.length-1;++pe){let Re=A[pe];if(fe&&typeof Re==\"object\"&&!Array.isArray(Re)){fe=!1;let Ke=null;if(Re[\"font-scale\"]&&(Ke=F.parse(Re[\"font-scale\"],1,dt),!Ke))return null;let ft=null;if(Re[\"text-font\"]&&(ft=F.parse(Re[\"text-font\"],1,Ge(Et)),!ft))return null;let 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F=(180+R[0])/360,W=(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R[1]*Math.PI/360)))/360,te=Math.pow(2,A.z);return[Math.round(F*te*bs),Math.round(W*te*bs)]}function _a(R,A){let F=Math.pow(2,A.z);return[(te=(R[0]/bs+A.x)/F,360*te-180),(W=(R[1]/bs+A.y)/F,360/Math.PI*Math.atan(Math.exp((180-360*W)*Math.PI/180))-90)];var W,te}function Vu(R,A){R[0]=Math.min(R[0],A[0]),R[1]=Math.min(R[1],A[1]),R[2]=Math.max(R[2],A[0]),R[3]=Math.max(R[3],A[1])}function zl(R,A){return!(R[0]<=A[0]||R[2]>=A[2]||R[1]<=A[1]||R[3]>=A[3])}function xo(R,A,F){let W=R[0]-A[0],te=R[1]-A[1],fe=R[0]-F[0],pe=R[1]-F[1];return W*pe-fe*te==0&&W*fe<=0&&te*pe<=0}function Kl(R,A,F,W){return(te=[W[0]-F[0],W[1]-F[1]])[0]*(fe=[A[0]-R[0],A[1]-R[1]])[1]-te[1]*fe[0]!=0&&!(!Oo(R,A,F,W)||!Oo(F,W,R,A));var te,fe}function Ns(R,A,F){for(let W of F)for(let te=0;te<W.length-1;++te)if(Kl(R,A,W[te],W[te+1]))return!0;return!1}function Hl(R,A,F=!1){let W=!1;for(let Re of A)for(let Ke=0;Ke<Re.length-1;Ke++){if(xo(R,Re[Ke],Re[Ke+1]))return 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this.first?(this.first=!1,this.lastIntegerZoom=W,this.lastIntegerZoomTime=0,this.lastZoom=A,this.lastFloorZoom=W,!0):(this.lastFloorZoom>W?(this.lastIntegerZoom=W+1,this.lastIntegerZoomTime=F):this.lastFloorZoom<W&&(this.lastIntegerZoom=W,this.lastIntegerZoomTime=F),A!==this.lastZoom&&(this.lastZoom=A,this.lastFloorZoom=W,!0))}}let Dn={\"Latin-1 Supplement\":R=>R>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and 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ws=Zo([\"Bopo\",\"Hani\",\"Hira\",\"Kana\",\"Kits\",\"Nshu\",\"Tang\",\"Yiii\"]);function Ho(R){return!(R!==746&&R!==747&&(R<4352||!(Dn[\"CJK Compatibility Forms\"](R)&&!(R>=65097&&R<=65103)||Dn[\"CJK Compatibility\"](R)||Dn[\"CJK Strokes\"](R)||!(!Dn[\"CJK Symbols and Punctuation\"](R)||R>=12296&&R<=12305||R>=12308&&R<=12319||R===12336)||Dn[\"Enclosed CJK Letters and Months\"](R)||Dn[\"Ideographic Description Characters\"](R)||Dn.Kanbun(R)||Dn.Katakana(R)&&R!==12540||!(!Dn[\"Halfwidth and Fullwidth Forms\"](R)||R===65288||R===65289||R===65293||R>=65306&&R<=65310||R===65339||R===65341||R===65343||R>=65371&&R<=65503||R===65507||R>=65512&&R<=65519)||!(!Dn[\"Small Form Variants\"](R)||R>=65112&&R<=65118||R>=65123&&R<=65126)||Dn[\"Vertical Forms\"](R)||Dn[\"Yijing Hexagram Symbols\"](R)||new RegExp(\"\\\\p{sc=Cans}\",\"u\").test(String.fromCodePoint(R))||new RegExp(\"\\\\p{sc=Hang}\",\"u\").test(String.fromCodePoint(R))||ws.test(String.fromCodePoint(R)))))}function ml(R){return!(Ho(R)||(function(A){return!!(Dn[\"Latin-1 Supplement\"](A)&&(A===167||A===169||A===174||A===177||A===188||A===189||A===190||A===215||A===247)||Dn[\"General Punctuation\"](A)&&(A===8214||A===8224||A===8225||A===8240||A===8241||A===8251||A===8252||A===8258||A===8263||A===8264||A===8265||A===8273)||Dn[\"Letterlike Symbols\"](A)||Dn[\"Number Forms\"](A)||Dn[\"Miscellaneous Technical\"](A)&&(A>=8960&&A<=8967||A>=8972&&A<=8991||A>=8996&&A<=9e3||A===9003||A>=9085&&A<=9114||A>=9150&&A<=9165||A===9167||A>=9169&&A<=9179||A>=9186&&A<=9215)||Dn[\"Control Pictures\"](A)&&A!==9251||Dn[\"Optical Character Recognition\"](A)||Dn[\"Enclosed Alphanumerics\"](A)||Dn[\"Geometric Shapes\"](A)||Dn[\"Miscellaneous Symbols\"](A)&&!(A>=9754&&A<=9759)||Dn[\"Miscellaneous Symbols and Arrows\"](A)&&(A>=11026&&A<=11055||A>=11088&&A<=11097||A>=11192&&A<=11243)||Dn[\"CJK Symbols and Punctuation\"](A)||Dn.Katakana(A)||Dn[\"Private Use Area\"](A)||Dn[\"CJK Compatibility Forms\"](A)||Dn[\"Small Form 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class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class rs{constructor(A,F){this.zoom=A,F?(this.now=F.now,this.fadeDuration=F.fadeDuration,this.zoomHistory=F.zoomHistory,this.transition=F.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Zn,this.transition={})}isSupportedScript(A){return(function(F,W){for(let te of F)if(!va(te.charCodeAt(0),W))return!1;return!0})(A,ys.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let A=this.zoom,F=A-Math.floor(A),W=this.crossFadingFactor();return A>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:F+(1-F)*W}:{fromScale:.5,toScale:1,t:1-(1-W)*F}}}class Ql{constructor(A,F){this.property=A,this.value=F,this.expression=(function(W,te){if(Wf(W))return new il(W,te);if(Dc(W)){let fe=_u(W,te);if(fe.result===\"error\")throw new Error(fe.value.map((pe=>`${pe.key}: ${pe.message}`)).join(\", \"));return fe.value}{let fe=W;return te.type===\"color\"&&typeof W==\"string\"?fe=ir.parse(W):te.type!==\"padding\"||typeof W!=\"number\"&&!Array.isArray(W)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(W)&&(fe=Hi.parse(W)):fe=$r.parse(W),{kind:\"constant\",evaluate:()=>fe}}})(F===void 0?A.specification.default:F,A.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(A,F,W){return this.property.possiblyEvaluate(this,A,F,W)}}class Cu{constructor(A){this.property=A,this.value=new Ql(A,void 0)}transitioned(A,F){return new Nc(this.property,this.value,F,L({},A.transition,this.transition),A.now)}untransitioned(){return new Nc(this.property,this.value,null,{},0)}}class Yu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitionablePropertyValues)}getValue(A){return g(this._values[A].value.value)}setValue(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].value=new Ql(this._values[A].property,F===null?void 0:g(F))}getTransition(A){return g(this._values[A].transition)}setTransition(A,F){Object.prototype.hasOwnProperty.call(this._values,A)||(this._values[A]=new Cu(this._values[A].property)),this._values[A].transition=g(F)||void 0}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W);let te=this.getTransition(F);te!==void 0&&(A[`${F}-transition`]=te)}return A}transitioned(A,F){let W=new pu(this._properties);for(let te of Object.keys(this._values))W._values[te]=this._values[te].transitioned(A,F._values[te]);return W}untransitioned(){let A=new pu(this._properties);for(let F of Object.keys(this._values))A._values[F]=this._values[F].untransitioned();return A}}class Nc{constructor(A,F,W,te,fe){this.property=A,this.value=F,this.begin=fe+te.delay||0,this.end=this.begin+te.duration||0,A.specification.transition&&(te.delay||te.duration)&&(this.prior=W)}possiblyEvaluate(A,F,W){let te=A.now||0,fe=this.value.possiblyEvaluate(A,F,W),pe=this.prior;if(pe){if(te>this.end)return this.prior=null,fe;if(this.value.isDataDriven())return this.prior=null,fe;if(te<this.begin)return pe.possiblyEvaluate(A,F,W);{let Re=(te-this.begin)/(this.end-this.begin);return this.property.interpolate(pe.possiblyEvaluate(A,F,W),fe,(function(Ke){if(Ke<=0)return 0;if(Ke>=1)return 1;let ft=Ke*Ke,Rt=ft*Ke;return 4*(Ke<.5?Rt:3*(Ke-ft)+Rt-.75)})(Re))}}return fe}}class pu{constructor(A){this._properties=A,this._values=Object.create(A.defaultTransitioningPropertyValues)}possiblyEvaluate(A,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return te}hasTransition(){for(let A of Object.keys(this._values))if(this._values[A].prior)return!0;return!1}}class Uc{constructor(A){this._properties=A,this._values=Object.create(A.defaultPropertyValues)}hasValue(A){return this._values[A].value!==void 0}getValue(A){return g(this._values[A].value)}setValue(A,F){this._values[A]=new Ql(this._values[A].property,F===null?void 0:g(F))}serialize(){let A={};for(let F of Object.keys(this._values)){let W=this.getValue(F);W!==void 0&&(A[F]=W)}return A}possiblyEvaluate(A,F,W){let te=new Ac(this._properties);for(let fe of Object.keys(this._values))te._values[fe]=this._values[fe].possiblyEvaluate(A,F,W);return te}}class xu{constructor(A,F,W){this.property=A,this.value=F,this.parameters=W}isConstant(){return this.value.kind===\"constant\"}constantOr(A){return this.value.kind===\"constant\"?this.value.value:A}evaluate(A,F,W,te){return this.property.evaluate(this.value,this.parameters,A,F,W,te)}}class Ac{constructor(A){this._properties=A,this._values=Object.create(A.defaultPossiblyEvaluatedValues)}get(A){return this._values[A]}}class Va{constructor(A){this.specification=A}possiblyEvaluate(A,F){if(A.isDataDriven())throw new Error(\"Value should not be data driven\");return A.expression.evaluate(F)}interpolate(A,F,W){let te=Lo[this.specification.type];return te?te(A,F,W):A}}class oo{constructor(A,F){this.specification=A,this.overrides=F}possiblyEvaluate(A,F,W,te){return new xu(this,A.expression.kind===\"constant\"||A.expression.kind===\"camera\"?{kind:\"constant\",value:A.expression.evaluate(F,null,{},W,te)}:A.expression,F)}interpolate(A,F,W){if(A.value.kind!==\"constant\"||F.value.kind!==\"constant\")return A;if(A.value.value===void 0||F.value.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},A.parameters);let te=Lo[this.specification.type];if(te){let fe=te(A.value.value,F.value.value,W);return new xu(this,{kind:\"constant\",value:fe},A.parameters)}return A}evaluate(A,F,W,te,fe,pe){return A.kind===\"constant\"?A.value:A.evaluate(F,W,te,fe,pe)}}class Vc extends oo{possiblyEvaluate(A,F,W,te){if(A.value===void 0)return new xu(this,{kind:\"constant\",value:void 0},F);if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,te),pe=A.property.specification.type===\"resolvedImage\"&&typeof fe!=\"string\"?fe.name:fe,Re=this._calculate(pe,pe,pe,F);return new xu(this,{kind:\"constant\",value:Re},F)}if(A.expression.kind===\"camera\"){let fe=this._calculate(A.expression.evaluate({zoom:F.zoom-1}),A.expression.evaluate({zoom:F.zoom}),A.expression.evaluate({zoom:F.zoom+1}),F);return new xu(this,{kind:\"constant\",value:fe},F)}return new xu(this,A.expression,F)}evaluate(A,F,W,te,fe,pe){if(A.kind===\"source\"){let Re=A.evaluate(F,W,te,fe,pe);return this._calculate(Re,Re,Re,F)}return A.kind===\"composite\"?this._calculate(A.evaluate({zoom:Math.floor(F.zoom)-1},W,te),A.evaluate({zoom:Math.floor(F.zoom)},W,te),A.evaluate({zoom:Math.floor(F.zoom)+1},W,te),F):A.value}_calculate(A,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class hc{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,te){if(A.value!==void 0){if(A.expression.kind===\"constant\"){let fe=A.expression.evaluate(F,null,{},W,te);return this._calculate(fe,fe,fe,F)}return this._calculate(A.expression.evaluate(new rs(Math.floor(F.zoom-1),F)),A.expression.evaluate(new rs(Math.floor(F.zoom),F)),A.expression.evaluate(new rs(Math.floor(F.zoom+1),F)),F)}}_calculate(A,F,W,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:A,to:F}:{from:W,to:F}}interpolate(A){return A}}class Ku{constructor(A){this.specification=A}possiblyEvaluate(A,F,W,te){return!!A.expression.evaluate(F,null,{},W,te)}interpolate(){return!1}}class ue{constructor(A){this.properties=A,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let F in A){let W=A[F];W.specification.overridable&&this.overridableProperties.push(F);let te=this.defaultPropertyValues[F]=new Ql(W,void 0),fe=this.defaultTransitionablePropertyValues[F]=new Cu(W);this.defaultTransitioningPropertyValues[F]=fe.untransitioned(),this.defaultPossiblyEvaluatedValues[F]=te.possiblyEvaluate({})}}}Fi(\"DataDrivenProperty\",oo),Fi(\"DataConstantProperty\",Va),Fi(\"CrossFadedDataDrivenProperty\",Vc),Fi(\"CrossFadedProperty\",hc),Fi(\"ColorRampProperty\",Ku);let w=\"-transition\";class B extends Pe{constructor(A,F){if(super(),this.id=A.id,this.type=A.type,this._featureFilter={filter:()=>!0,needGeometry:!1},A.type!==\"custom\"&&(this.metadata=A.metadata,this.minzoom=A.minzoom,this.maxzoom=A.maxzoom,A.type!==\"background\"&&(this.source=A.source,this.sourceLayer=A[\"source-layer\"],this.filter=A.filter),F.layout&&(this._unevaluatedLayout=new Uc(F.layout)),F.paint)){this._transitionablePaint=new Yu(F.paint);for(let W in A.paint)this.setPaintProperty(W,A.paint[W],{validate:!1});for(let W in A.layout)this.setLayoutProperty(W,A.layout[W],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ac(F.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(A){return A===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(A)}setLayoutProperty(A,F,W={}){F!=null&&this._validate(On,`layers.${this.id}.layout.${A}`,A,F,W)||(A!==\"visibility\"?this._unevaluatedLayout.setValue(A,F):this.visibility=F)}getPaintProperty(A){return A.endsWith(w)?this._transitionablePaint.getTransition(A.slice(0,-11)):this._transitionablePaint.getValue(A)}setPaintProperty(A,F,W={}){if(F!=null&&this._validate(wn,`layers.${this.id}.paint.${A}`,A,F,W))return!1;if(A.endsWith(w))return this._transitionablePaint.setTransition(A.slice(0,-11),F||void 0),!1;{let te=this._transitionablePaint._values[A],fe=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",pe=te.value.isDataDriven(),Re=te.value;this._transitionablePaint.setValue(A,F),this._handleSpecialPaintPropertyUpdate(A);let Ke=this._transitionablePaint._values[A].value;return Ke.isDataDriven()||pe||fe||this._handleOverridablePaintPropertyUpdate(A,Re,Ke)}}_handleSpecialPaintPropertyUpdate(A){}_handleOverridablePaintPropertyUpdate(A,F,W){return!1}isHidden(A){return!!(this.minzoom&&A<this.minzoom)||!!(this.maxzoom&&A>=this.maxzoom)||this.visibility===\"none\"}updateTransitions(A){this._transitioningPaint=this._transitionablePaint.transitioned(A,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(A,F){A.getCrossfadeParameters&&(this._crossfadeParameters=A.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(A,void 0,F)),this.paint=this._transitioningPaint.possiblyEvaluate(A,void 0,F)}serialize(){let A={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(A.layout=A.layout||{},A.layout.visibility=this.visibility),S(A,((F,W)=>!(F===void 0||W===\"layout\"&&!Object.keys(F).length||W===\"paint\"&&!Object.keys(F).length)))}_validate(A,F,W,te,fe={}){return(!fe||fe.validate!==!1)&&Yi(this,A.call(Mi,{key:F,layerType:this.type,objectKey:W,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let A in this.paint._values){let F=this.paint.get(A);if(F instanceof xu&&Bl(F.property.specification)&&(F.value.kind===\"source\"||F.value.kind===\"composite\")&&F.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(A,F){this._structArray=A,this._pos1=F*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class le{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(A,F){return A._trim(),F&&(A.isTransferred=!0,F.push(A.arrayBuffer)),{length:A.length,arrayBuffer:A.arrayBuffer}}static deserialize(A){let F=Object.create(this.prototype);return F.arrayBuffer=A.arrayBuffer,F.length=A.length,F.capacity=A.arrayBuffer.byteLength/F.bytesPerElement,F._refreshViews(),F}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(A){this.reserve(A),this.length=A}reserve(A){if(A>this.capacity){this.capacity=Math.max(A,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let F=this.uint8;this._refreshViews(),F&&this.uint8.set(F)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function Fe(R,A=1){let F=0,W=0;return{members:R.map((te=>{let fe=Q[te.type].BYTES_PER_ELEMENT,pe=F=Ze(F,Math.max(A,fe)),Re=te.components||1;return W=Math.max(W,fe),F+=fe*Re,{name:te.name,type:te.type,components:Re,offset:pe}})),size:Ze(F,Math.max(W,A)),alignment:A}}function Ze(R,A){return Math.ceil(R/A)*A}class ut extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.int16[te+0]=F,this.int16[te+1]=W,A}}ut.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2i4\",ut);class Mt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.int16[fe+0]=F,this.int16[fe+1]=W,this.int16[fe+2]=te,A}}Mt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3i6\",Mt);class Jt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,te)}emplace(A,F,W,te,fe){let pe=4*A;return this.int16[pe+0]=F,this.int16[pe+1]=W,this.int16[pe+2]=te,this.int16[pe+3]=fe,A}}Jt.prototype.bytesPerElement=8,Fi(\"StructArrayLayout4i8\",Jt);class $t extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=Re,A}}$t.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i4i12\",$t);class yr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=4*A,ft=8*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.uint8[ft+4]=te,this.uint8[ft+5]=fe,this.uint8[ft+6]=pe,this.uint8[ft+7]=Re,A}}yr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2i4ub8\",yr);class Cr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.float32[te+0]=F,this.float32[te+1]=W,A}}Cr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout2f8\",Cr);class ve extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=this.length;return this.resize(er+1),this.emplace(er,A,F,W,te,fe,pe,Re,Ke,ft,Rt)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er){let ur=10*A;return this.uint16[ur+0]=F,this.uint16[ur+1]=W,this.uint16[ur+2]=te,this.uint16[ur+3]=fe,this.uint16[ur+4]=pe,this.uint16[ur+5]=Re,this.uint16[ur+6]=Ke,this.uint16[ur+7]=ft,this.uint16[ur+8]=Rt,this.uint16[ur+9]=er,A}}ve.prototype.bytesPerElement=20,Fi(\"StructArrayLayout10ui20\",ve);class xe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=this.length;return this.resize(vr+1),this.emplace(vr,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr){let kr=12*A;return this.int16[kr+0]=F,this.int16[kr+1]=W,this.int16[kr+2]=te,this.int16[kr+3]=fe,this.uint16[kr+4]=pe,this.uint16[kr+5]=Re,this.uint16[kr+6]=Ke,this.uint16[kr+7]=ft,this.int16[kr+8]=Rt,this.int16[kr+9]=er,this.int16[kr+10]=ur,this.int16[kr+11]=vr,A}}xe.prototype.bytesPerElement=24,Fi(\"StructArrayLayout4i4ui4i24\",xe);class Ie extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.float32[fe+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,A}}Ie.prototype.bytesPerElement=12,Fi(\"StructArrayLayout3f12\",Ie);class ze extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint32[1*A+0]=F,A}}ze.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1ul4\",ze);class Qe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft){let Rt=this.length;return this.resize(Rt+1),this.emplace(Rt,A,F,W,te,fe,pe,Re,Ke,ft)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=10*A,ur=5*A;return this.int16[er+0]=F,this.int16[er+1]=W,this.int16[er+2]=te,this.int16[er+3]=fe,this.int16[er+4]=pe,this.int16[er+5]=Re,this.uint32[ur+3]=Ke,this.uint16[er+8]=ft,this.uint16[er+9]=Rt,A}}Qe.prototype.bytesPerElement=20,Fi(\"StructArrayLayout6i1ul2ui20\",Qe);class Xe extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=6*A;return this.int16[Ke+0]=F,this.int16[Ke+1]=W,this.int16[Ke+2]=te,this.int16[Ke+3]=fe,this.int16[Ke+4]=pe,this.int16[Ke+5]=Re,A}}Xe.prototype.bytesPerElement=12,Fi(\"StructArrayLayout2i2i2i12\",Xe);class nt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe){let pe=this.length;return this.resize(pe+1),this.emplace(pe,A,F,W,te,fe)}emplace(A,F,W,te,fe,pe){let Re=4*A,Ke=8*A;return this.float32[Re+0]=F,this.float32[Re+1]=W,this.float32[Re+2]=te,this.int16[Ke+6]=fe,this.int16[Ke+7]=pe,A}}nt.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2f1f2i16\",nt);class qt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe){let Re=this.length;return this.resize(Re+1),this.emplace(Re,A,F,W,te,fe,pe)}emplace(A,F,W,te,fe,pe,Re){let Ke=16*A,ft=4*A,Rt=8*A;return this.uint8[Ke+0]=F,this.uint8[Ke+1]=W,this.float32[ft+1]=te,this.float32[ft+2]=fe,this.int16[Rt+6]=pe,this.int16[Rt+7]=Re,A}}qt.prototype.bytesPerElement=16,Fi(\"StructArrayLayout2ub2f2i16\",qt);class Wt extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.uint16[fe+0]=F,this.uint16[fe+1]=W,this.uint16[fe+2]=te,A}}Wt.prototype.bytesPerElement=6,Fi(\"StructArrayLayout3ui6\",Wt);class nr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi){let vn=this.length;return this.resize(vn+1),this.emplace(vn,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn){let zi=24*A,ln=12*A,Tn=48*A;return this.int16[zi+0]=F,this.int16[zi+1]=W,this.uint16[zi+2]=te,this.uint16[zi+3]=fe,this.uint32[ln+2]=pe,this.uint32[ln+3]=Re,this.uint32[ln+4]=Ke,this.uint16[zi+10]=ft,this.uint16[zi+11]=Rt,this.uint16[zi+12]=er,this.float32[ln+7]=ur,this.float32[ln+8]=vr,this.uint8[Tn+36]=kr,this.uint8[Tn+37]=Dr,this.uint8[Tn+38]=li,this.uint32[ln+10]=pi,this.int16[zi+22]=vn,A}}nr.prototype.bytesPerElement=48,Fi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",nr);class fr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo){let lo=this.length;return this.resize(lo+1),this.emplace(lo,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo)}emplace(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur,vr,kr,Dr,li,pi,vn,zi,ln,Tn,pa,ro,Vo,Xa,la,Mo,fo,lo){let Wn=32*A,Ro=16*A;return this.int16[Wn+0]=F,this.int16[Wn+1]=W,this.int16[Wn+2]=te,this.int16[Wn+3]=fe,this.int16[Wn+4]=pe,this.int16[Wn+5]=Re,this.int16[Wn+6]=Ke,this.int16[Wn+7]=ft,this.uint16[Wn+8]=Rt,this.uint16[Wn+9]=er,this.uint16[Wn+10]=ur,this.uint16[Wn+11]=vr,this.uint16[Wn+12]=kr,this.uint16[Wn+13]=Dr,this.uint16[Wn+14]=li,this.uint16[Wn+15]=pi,this.uint16[Wn+16]=vn,this.uint16[Wn+17]=zi,this.uint16[Wn+18]=ln,this.uint16[Wn+19]=Tn,this.uint16[Wn+20]=pa,this.uint16[Wn+21]=ro,this.uint16[Wn+22]=Vo,this.uint32[Ro+12]=Xa,this.float32[Ro+13]=la,this.float32[Ro+14]=Mo,this.uint16[Wn+30]=fo,this.uint16[Wn+31]=lo,A}}fr.prototype.bytesPerElement=64,Fi(\"StructArrayLayout8i15ui1ul2f2ui64\",fr);class br extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.float32[1*A+0]=F,A}}br.prototype.bytesPerElement=4,Fi(\"StructArrayLayout1f4\",br);class Fr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=3*A;return this.uint16[6*A+0]=F,this.float32[fe+1]=W,this.float32[fe+2]=te,A}}Fr.prototype.bytesPerElement=12,Fi(\"StructArrayLayout1ui2f12\",Fr);class Hr extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F,W){let te=this.length;return this.resize(te+1),this.emplace(te,A,F,W)}emplace(A,F,W,te){let fe=4*A;return this.uint32[2*A+0]=F,this.uint16[fe+2]=W,this.uint16[fe+3]=te,A}}Hr.prototype.bytesPerElement=8,Fi(\"StructArrayLayout1ul2ui8\",Hr);class ri extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A,F){let W=this.length;return this.resize(W+1),this.emplace(W,A,F)}emplace(A,F,W){let te=2*A;return this.uint16[te+0]=F,this.uint16[te+1]=W,A}}ri.prototype.bytesPerElement=4,Fi(\"StructArrayLayout2ui4\",ri);class Ci extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(A){let F=this.length;return this.resize(F+1),this.emplace(F,A)}emplace(A,F){return this.uint16[1*A+0]=F,A}}Ci.prototype.bytesPerElement=2,Fi(\"StructArrayLayout1ui2\",Ci);class cn extends le{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(A,F,W,te){let fe=this.length;return this.resize(fe+1),this.emplace(fe,A,F,W,te)}emplace(A,F,W,te,fe){let pe=4*A;return this.float32[pe+0]=F,this.float32[pe+1]=W,this.float32[pe+2]=te,this.float32[pe+3]=fe,A}}cn.prototype.bytesPerElement=16,Fi(\"StructArrayLayout4f16\",cn);class sn extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}sn.prototype.size=20;class Ln extends Qe{get(A){return new sn(this,A)}}Fi(\"CollisionBoxArray\",Ln);class Kn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(A){this._structArray.uint8[this._pos1+37]=A}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(A){this._structArray.uint8[this._pos1+38]=A}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(A){this._structArray.uint32[this._pos4+10]=A}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Kn.prototype.size=48;class Aa extends nr{get(A){return new Kn(this,A)}}Fi(\"PlacedSymbolArray\",Aa);class fa extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(A){this._structArray.uint32[this._pos4+12]=A}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}fa.prototype.size=64;class $a extends fr{get(A){return new fa(this,A)}}Fi(\"SymbolInstanceArray\",$a);class Co extends br{getoffsetX(A){return this.float32[1*A+0]}}Fi(\"GlyphOffsetArray\",Co);class Qa extends Mt{getx(A){return this.int16[3*A+0]}gety(A){return this.int16[3*A+1]}gettileUnitDistanceFromAnchor(A){return this.int16[3*A+2]}}Fi(\"SymbolLineVertexArray\",Qa);class mo extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}mo.prototype.size=12;class Bo extends Fr{get(A){return new mo(this,A)}}Fi(\"TextAnchorOffsetArray\",Bo);class Ps extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ps.prototype.size=8;class Ts extends Hr{get(A){return new Ps(this,A)}}Fi(\"FeatureIndexArray\",Ts);class wo extends ut{}class To extends ut{}class hl extends ut{}class Nl extends $t{}class Lu extends yr{}class au extends Cr{}class Js extends ve{}class eu extends xe{}class dc extends Ie{}class Al extends ze{}class Sl extends Xe{}class X extends qt{}class se extends Wt{}class Te extends ri{}let qe=Fe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:Ve}=qe;class Ye{constructor(A=[]){this.segments=A}prepareSegment(A,F,W,te){let fe=this.segments[this.segments.length-1];return A>Ye.MAX_VERTEX_ARRAY_LENGTH&&E(`Max vertices per segment is ${Ye.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${A}`),(!fe||fe.vertexLength+A>Ye.MAX_VERTEX_ARRAY_LENGTH||fe.sortKey!==te)&&(fe={vertexOffset:F.length,primitiveOffset:W.length,vertexLength:0,primitiveLength:0},te!==void 0&&(fe.sortKey=te),this.segments.push(fe)),fe}get(){return this.segments}destroy(){for(let A of this.segments)for(let F in A.vaos)A.vaos[F].destroy()}static simpleSegment(A,F,W,te){return new Ye([{vertexOffset:A,primitiveOffset:F,vertexLength:W,primitiveLength:te,vaos:{},sortKey:0}])}}function Pt(R,A){return 256*(R=M(Math.floor(R),0,255))+M(Math.floor(A),0,255)}Ye.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Fi(\"SegmentVector\",Ye);let ot=Fe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var Xt={exports:{}},dr={exports:{}};dr.exports=function(R,A){var F,W,te,fe,pe,Re,Ke,ft;for(W=R.length-(F=3&R.length),te=A,pe=3432918353,Re=461845907,ft=0;ft<W;)Ke=255&R.charCodeAt(ft)|(255&R.charCodeAt(++ft))<<8|(255&R.charCodeAt(++ft))<<16|(255&R.charCodeAt(++ft))<<24,++ft,te=27492+(65535&(fe=5*(65535&(te=(te^=Ke=(65535&(Ke=(Ke=(65535&Ke)*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*Re+(((Ke>>>16)*Re&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(fe>>>16)&65535)<<16);switch(Ke=0,F){case 3:Ke^=(255&R.charCodeAt(ft+2))<<16;case 2:Ke^=(255&R.charCodeAt(ft+1))<<8;case 1:te^=Ke=(65535&(Ke=(Ke=(65535&(Ke^=255&R.charCodeAt(ft)))*pe+(((Ke>>>16)*pe&65535)<<16)&4294967295)<<15|Ke>>>17))*Re+(((Ke>>>16)*Re&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var pr=dr.exports,Ur={exports:{}};Ur.exports=function(R,A){for(var F,W=R.length,te=A^W,fe=0;W>=4;)F=1540483477*(65535&(F=255&R.charCodeAt(fe)|(255&R.charCodeAt(++fe))<<8|(255&R.charCodeAt(++fe))<<16|(255&R.charCodeAt(++fe))<<24))+((1540483477*(F>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(F=1540483477*(65535&(F^=F>>>24))+((1540483477*(F>>>16)&65535)<<16)),W-=4,++fe;switch(W){case 3:te^=(255&R.charCodeAt(fe+2))<<16;case 2:te^=(255&R.charCodeAt(fe+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(fe)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var zr=pr,gi=Ur.exports;Xt.exports=zr,Xt.exports.murmur3=zr,Xt.exports.murmur2=gi;var xi=o(Xt.exports);class Wr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(A,F,W,te){this.ids.push(ii(A)),this.positions.push(F,W,te)}getPositions(A){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let F=ii(A),W=0,te=this.ids.length-1;for(;W<te;){let pe=W+te>>1;this.ids[pe]>=F?te=pe:W=pe+1}let fe=[];for(;this.ids[W]===F;)fe.push({index:this.positions[3*W],start:this.positions[3*W+1],end:this.positions[3*W+2]}),W++;return fe}static serialize(A,F){let W=new Float64Array(A.ids),te=new Uint32Array(A.positions);return di(W,te,0,W.length-1),F&&F.push(W.buffer,te.buffer),{ids:W,positions:te}}static deserialize(A){let F=new Wr;return F.ids=A.ids,F.positions=A.positions,F.indexed=!0,F}}function ii(R){let A=+R;return!isNaN(A)&&A<=Number.MAX_SAFE_INTEGER?A:xi(String(R))}function di(R,A,F,W){for(;F<W;){let te=R[F+W>>1],fe=F-1,pe=W+1;for(;;){do fe++;while(R[fe]<te);do pe--;while(R[pe]>te);if(fe>=pe)break;Li(R,fe,pe),Li(A,3*fe,3*pe),Li(A,3*fe+1,3*pe+1),Li(A,3*fe+2,3*pe+2)}pe-F<W-pe?(di(R,A,F,pe),F=pe+1):(di(R,A,pe+1,W),W=pe)}}function Li(R,A,F){let W=R[A];R[A]=R[F],R[F]=W}Fi(\"FeaturePositionMap\",Wr);class Ti{constructor(A,F){this.gl=A.gl,this.location=F}}class Qr extends Ti{constructor(A,F){super(A,F),this.current=0}set(A){this.current!==A&&(this.current=A,this.gl.uniform1f(this.location,A))}}class Pn extends Ti{constructor(A,F){super(A,F),this.current=[0,0,0,0]}set(A){A[0]===this.current[0]&&A[1]===this.current[1]&&A[2]===this.current[2]&&A[3]===this.current[3]||(this.current=A,this.gl.uniform4f(this.location,A[0],A[1],A[2],A[3]))}}class kn extends Ti{constructor(A,F){super(A,F),this.current=ir.transparent}set(A){A.r===this.current.r&&A.g===this.current.g&&A.b===this.current.b&&A.a===this.current.a||(this.current=A,this.gl.uniform4f(this.location,A.r,A.g,A.b,A.a))}}let Bn=new Float32Array(16);function na(R){return[Pt(255*R.r,255*R.g),Pt(255*R.b,255*R.a)]}class Ea{constructor(A,F,W){this.value=A,this.uniformNames=F.map((te=>`u_${te}`)),this.type=W}setUniform(A,F,W){A.set(W.constantOr(this.value))}getBinding(A,F,W){return this.type===\"color\"?new kn(A,F):new Qr(A,F)}}class Ia{constructor(A,F){this.uniformNames=F.map((W=>`u_${W}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(A,F){this.pixelRatioFrom=F.pixelRatio,this.pixelRatioTo=A.pixelRatio,this.patternFrom=F.tlbr,this.patternTo=A.tlbr}setUniform(A,F,W,te){let fe=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;fe&&A.set(fe)}getBinding(A,F,W){return W.substr(0,9)===\"u_pattern\"?new Pn(A,F):new Qr(A,F)}}class yo{constructor(A,F,W,te){this.expression=A,this.type=W,this.maxValue=0,this.paintVertexAttributes=F.map((fe=>({name:`a_${fe}`,type:\"Float32\",components:W===\"color\"?2:1,offset:0}))),this.paintVertexArray=new te}populatePaintArray(A,F,W,te,fe){let pe=this.paintVertexArray.length,Re=this.expression.evaluate(new rs(0),F,{},te,[],fe);this.paintVertexArray.resize(A),this._setPaintValue(pe,A,Re)}updatePaintArray(A,F,W,te){let fe=this.expression.evaluate({zoom:0},W,te);this._setPaintValue(A,F,fe)}_setPaintValue(A,F,W){if(this.type===\"color\"){let te=na(W);for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,te[0],te[1])}else{for(let te=A;te<F;te++)this.paintVertexArray.emplace(te,W);this.maxValue=Math.max(this.maxValue,Math.abs(W))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Da{constructor(A,F,W,te,fe,pe){this.expression=A,this.uniformNames=F.map((Re=>`u_${Re}_t`)),this.type=W,this.useIntegerZoom=te,this.zoom=fe,this.maxValue=0,this.paintVertexAttributes=F.map((Re=>({name:`a_${Re}`,type:\"Float32\",components:W===\"color\"?4:2,offset:0}))),this.paintVertexArray=new pe}populatePaintArray(A,F,W,te,fe){let pe=this.expression.evaluate(new rs(this.zoom),F,{},te,[],fe),Re=this.expression.evaluate(new rs(this.zoom+1),F,{},te,[],fe),Ke=this.paintVertexArray.length;this.paintVertexArray.resize(A),this._setPaintValue(Ke,A,pe,Re)}updatePaintArray(A,F,W,te){let fe=this.expression.evaluate({zoom:this.zoom},W,te),pe=this.expression.evaluate({zoom:this.zoom+1},W,te);this._setPaintValue(A,F,fe,pe)}_setPaintValue(A,F,W,te){if(this.type===\"color\"){let fe=na(W),pe=na(te);for(let Re=A;Re<F;Re++)this.paintVertexArray.emplace(Re,fe[0],fe[1],pe[0],pe[1])}else{for(let fe=A;fe<F;fe++)this.paintVertexArray.emplace(fe,W,te);this.maxValue=Math.max(this.maxValue,Math.abs(W),Math.abs(te))}}upload(A){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=A.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(A,F){let W=this.useIntegerZoom?Math.floor(F.zoom):F.zoom,te=M(this.expression.interpolationFactor(W,this.zoom,this.zoom+1),0,1);A.set(te)}getBinding(A,F,W){return new Qr(A,F)}}class go{constructor(A,F,W,te,fe,pe){this.expression=A,this.type=F,this.useIntegerZoom=W,this.zoom=te,this.layerId=pe,this.zoomInPaintVertexArray=new fe,this.zoomOutPaintVertexArray=new fe}populatePaintArray(A,F,W){let te=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(A),this.zoomOutPaintVertexArray.resize(A),this._setPaintValues(te,A,F.patterns&&F.patterns[this.layerId],W)}updatePaintArray(A,F,W,te,fe){this._setPaintValues(A,F,W.patterns&&W.patterns[this.layerId],fe)}_setPaintValues(A,F,W,te){if(!te||!W)return;let{min:fe,mid:pe,max:Re}=W,Ke=te[fe],ft=te[pe],Rt=te[Re];if(Ke&&ft&&Rt)for(let er=A;er<F;er++)this.zoomInPaintVertexArray.emplace(er,ft.tl[0],ft.tl[1],ft.br[0],ft.br[1],Ke.tl[0],Ke.tl[1],Ke.br[0],Ke.br[1],ft.pixelRatio,Ke.pixelRatio),this.zoomOutPaintVertexArray.emplace(er,ft.tl[0],ft.tl[1],ft.br[0],ft.br[1],Rt.tl[0],Rt.tl[1],Rt.br[0],Rt.br[1],ft.pixelRatio,Rt.pixelRatio)}upload(A){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=A.createVertexBuffer(this.zoomInPaintVertexArray,ot.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=A.createVertexBuffer(this.zoomOutPaintVertexArray,ot.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Is{constructor(A,F,W){this.binders={},this._buffers=[];let te=[];for(let fe in A.paint._values){if(!W(fe))continue;let pe=A.paint.get(fe);if(!(pe instanceof xu&&Bl(pe.property.specification)))continue;let Re=Xs(fe,A.type),Ke=pe.value,ft=pe.property.specification.type,Rt=pe.property.useIntegerZoom,er=pe.property.specification[\"property-type\"],ur=er===\"cross-faded\"||er===\"cross-faded-data-driven\";if(Ke.kind===\"constant\")this.binders[fe]=ur?new Ia(Ke.value,Re):new Ea(Ke.value,Re,ft),te.push(`/u_${fe}`);else if(Ke.kind===\"source\"||ur){let vr=Un(fe,ft,\"source\");this.binders[fe]=ur?new go(Ke,ft,Rt,F,vr,A.id):new yo(Ke,Re,ft,vr),te.push(`/a_${fe}`)}else{let vr=Un(fe,ft,\"composite\");this.binders[fe]=new Da(Ke,Re,ft,Rt,F,vr),te.push(`/z_${fe}`)}}this.cacheKey=te.sort().join(\"\")}getMaxValue(A){let F=this.binders[A];return F instanceof yo||F instanceof Da?F.maxValue:0}populatePaintArrays(A,F,W,te,fe){for(let pe in this.binders){let Re=this.binders[pe];(Re instanceof yo||Re instanceof Da||Re instanceof go)&&Re.populatePaintArray(A,F,W,te,fe)}}setConstantPatternPositions(A,F){for(let W in this.binders){let te=this.binders[W];te instanceof Ia&&te.setConstantPatternPositions(A,F)}}updatePaintArrays(A,F,W,te,fe){let pe=!1;for(let Re in A){let Ke=F.getPositions(Re);for(let ft of Ke){let Rt=W.feature(ft.index);for(let er in this.binders){let ur=this.binders[er];if((ur instanceof yo||ur instanceof Da||ur instanceof go)&&ur.expression.isStateDependent===!0){let vr=te.paint.get(er);ur.expression=vr.value,ur.updatePaintArray(ft.start,ft.end,Rt,A[Re],fe),pe=!0}}}}return pe}defines(){let A=[];for(let F in this.binders){let W=this.binders[F];(W instanceof Ea||W instanceof Ia)&&A.push(...W.uniformNames.map((te=>`#define HAS_UNIFORM_${te}`)))}return A}getBinderAttributes(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof yo||W instanceof Da)for(let te=0;te<W.paintVertexAttributes.length;te++)A.push(W.paintVertexAttributes[te].name);else if(W instanceof go)for(let te=0;te<ot.members.length;te++)A.push(ot.members[te].name)}return A}getBinderUniforms(){let A=[];for(let F in this.binders){let W=this.binders[F];if(W instanceof Ea||W instanceof Ia||W instanceof Da)for(let te of W.uniformNames)A.push(te)}return A}getPaintVertexBuffers(){return this._buffers}getUniforms(A,F){let W=[];for(let te in this.binders){let fe=this.binders[te];if(fe instanceof Ea||fe instanceof Ia||fe instanceof Da){for(let pe of fe.uniformNames)if(F[pe]){let Re=fe.getBinding(A,F[pe],pe);W.push({name:pe,property:te,binding:Re})}}}return W}setUniforms(A,F,W,te){for(let{name:fe,property:pe,binding:Re}of F)this.binders[pe].setUniform(Re,te,W.get(pe),fe)}updatePaintBuffers(A){this._buffers=[];for(let F in this.binders){let W=this.binders[F];if(A&&W instanceof go){let te=A.fromScale===2?W.zoomInPaintVertexBuffer:W.zoomOutPaintVertexBuffer;te&&this._buffers.push(te)}else(W instanceof yo||W instanceof Da)&&W.paintVertexBuffer&&this._buffers.push(W.paintVertexBuffer)}}upload(A){for(let F in this.binders){let W=this.binders[F];(W instanceof yo||W instanceof Da||W instanceof go)&&W.upload(A)}this.updatePaintBuffers()}destroy(){for(let A in this.binders){let F=this.binders[A];(F instanceof yo||F instanceof Da||F instanceof go)&&F.destroy()}}}class Ms{constructor(A,F,W=(()=>!0)){this.programConfigurations={};for(let te of A)this.programConfigurations[te.id]=new Is(te,F,W);this.needsUpload=!1,this._featureMap=new Wr,this._bufferOffset=0}populatePaintArrays(A,F,W,te,fe,pe){for(let Re in this.programConfigurations)this.programConfigurations[Re].populatePaintArrays(A,F,te,fe,pe);F.id!==void 0&&this._featureMap.add(F.id,W,this._bufferOffset,A),this._bufferOffset=A,this.needsUpload=!0}updatePaintArrays(A,F,W,te){for(let fe of W)this.needsUpload=this.programConfigurations[fe.id].updatePaintArrays(A,this._featureMap,F,fe,te)||this.needsUpload}get(A){return this.programConfigurations[A]}upload(A){if(this.needsUpload){for(let F in this.programConfigurations)this.programConfigurations[F].upload(A);this.needsUpload=!1}}destroy(){for(let A in 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er=[];for(W=0;W<Ke.length;W++)er[W]=Ke[W][0];Rt(Ke=er);break;case 2:for(W=0;W<Ke.length;W++)Rt(Ke[W]);break;case 3:for(Ke=(function(vr){var kr=vr.length;if(kr<=1)return[vr];for(var Dr,li,pi=[],vn=0;vn<kr;vn++){var zi=gn(vr[vn]);zi!==0&&(li===void 0&&(li=zi<0),li===zi<0?(Dr&&pi.push(Dr),Dr=[vr[vn]]):Dr.push(vr[vn]))}return Dr&&pi.push(Dr),pi})(Ke),W=0;W<Ke.length;W++)for(te=0;te<Ke[W].length;te++)Rt(Ke[W][te])}Ke.length===1?Ke=Ke[0]:ft=\"Multi\"+ft;var ur={type:\"Feature\",geometry:{type:ft,coordinates:Ke},properties:this.properties};return\"id\"in this&&(ur.id=this.id),ur};var tn=Di,Ei=Oi;function Oi(R,A){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=R,this._keys=[],this._values=[],this._features=[],R.readFields(Gi,this,A),this.length=this._features.length}function Gi(R,A,F){R===15?A.version=F.readVarint():R===1?A.name=F.readString():R===5?A.extent=F.readVarint():R===2?A._features.push(F.pos):R===3?A._keys.push(F.readString()):R===4&&A._values.push((function(W){for(var te=null,fe=W.readVarint()+W.pos;W.pos<fe;){var pe=W.readVarint()>>3;te=pe===1?W.readString():pe===2?W.readFloat():pe===3?W.readDouble():pe===4?W.readVarint64():pe===5?W.readVarint():pe===6?W.readSVarint():pe===7?W.readBoolean():null}return te})(F))}Oi.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var A=this._pbf.readVarint()+this._pbf.pos;return new tn(this._pbf,A,this.extent,this._keys,this._values)};var on=Ei;function zn(R,A,F){if(R===3){var W=new on(F,F.readVarint()+F.pos);W.length&&(A[W.name]=W)}}_r.VectorTile=function(R,A){this.layers=R.readFields(zn,{},A)},_r.VectorTileFeature=Di,_r.VectorTileLayer=Ei;let Ja=_r.VectorTileFeature.types,co=Math.pow(2,13);function ts(R,A,F,W,te,fe,pe,Re){R.emplaceBack(A,F,2*Math.floor(W*co)+pe,te*co*2,fe*co*2,Math.round(Re))}class so{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((F=>F.id)),this.index=A.index,this.hasPattern=!1,this.layoutVertexArray=new Nl,this.centroidVertexArray=new wo,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.stateDependentLayerIds=this.layers.filter((F=>F.isStateDependent())).map((F=>F.id))}populate(A,F,W){this.features=[],this.hasPattern=st(\"fill-extrusion\",this.layers,F);for(let{feature:te,id:fe,index:pe,sourceLayerIndex:Re}of A){let Ke=this.layers[0]._featureFilter.needGeometry,ft=Ml(te,Ke);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ft,W))continue;let Rt={id:fe,sourceLayerIndex:Re,index:pe,geometry:Ke?ft.geometry:$s(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(It(\"fill-extrusion\",this.layers,Rt,this.zoom,F)):this.addFeature(Rt,Rt.geometry,pe,W,{}),F.featureIndex.insert(te,Rt.geometry,pe,Re,this.index,!0)}}addFeatures(A,F,W){for(let te of this.features){let{geometry:fe}=te;this.addFeature(te,fe,te.index,F,W)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,lr),this.centroidVertexBuffer=A.createVertexBuffer(this.centroidVertexArray,vt.members,!0),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(A,F,W,te,fe){for(let pe of Cf(F,500)){let Re={x:0,y:0,vertexCount:0},Ke=0;for(let kr of pe)Ke+=kr.length;let ft=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let kr of pe){if(kr.length===0||ms(kr))continue;let Dr=0;for(let li=0;li<kr.length;li++){let pi=kr[li];if(li>=1){let vn=kr[li-1];if(!Yo(pi,vn)){ft.vertexLength+4>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ft=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let zi=pi.sub(vn)._perp()._unit(),ln=vn.dist(pi);Dr+ln>32768&&(Dr=0),ts(this.layoutVertexArray,pi.x,pi.y,zi.x,zi.y,0,0,Dr),ts(this.layoutVertexArray,pi.x,pi.y,zi.x,zi.y,0,1,Dr),Re.x+=2*pi.x,Re.y+=2*pi.y,Re.vertexCount+=2,Dr+=ln,ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,0,Dr),ts(this.layoutVertexArray,vn.x,vn.y,zi.x,zi.y,0,1,Dr),Re.x+=2*vn.x,Re.y+=2*vn.y,Re.vertexCount+=2;let Tn=ft.vertexLength;this.indexArray.emplaceBack(Tn,Tn+2,Tn+1),this.indexArray.emplaceBack(Tn+1,Tn+2,Tn+3),ft.vertexLength+=4,ft.primitiveLength+=2}}}}if(ft.vertexLength+Ke>Ye.MAX_VERTEX_ARRAY_LENGTH&&(ft=this.segments.prepareSegment(Ke,this.layoutVertexArray,this.indexArray)),Ja[A.type]!==\"Polygon\")continue;let Rt=[],er=[],ur=ft.vertexLength;for(let kr of pe)if(kr.length!==0){kr!==pe[0]&&er.push(Rt.length/2);for(let Dr=0;Dr<kr.length;Dr++){let li=kr[Dr];ts(this.layoutVertexArray,li.x,li.y,0,0,1,1,0),Re.x+=li.x,Re.y+=li.y,Re.vertexCount+=1,Rt.push(li.x),Rt.push(li.y)}}let vr=zo(Rt,er);for(let kr=0;kr<vr.length;kr+=3)this.indexArray.emplaceBack(ur+vr[kr],ur+vr[kr+2],ur+vr[kr+1]);ft.primitiveLength+=vr.length/3,ft.vertexLength+=Ke;for(let kr=0;kr<Re.vertexCount;kr++){let Dr=Math.floor(Re.x/Re.vertexCount),li=Math.floor(Re.y/Re.vertexCount);this.centroidVertexArray.emplaceBack(Dr,li)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,te)}}function Yo(R,A){return R.x===A.x&&(R.x<0||R.x>ja)||R.y===A.y&&(R.y<0||R.y>ja)}function ms(R){return R.every((A=>A.x<0))||R.every((A=>A.x>ja))||R.every((A=>A.y<0))||R.every((A=>A.y>ja))}let ou;Fi(\"FillExtrusionBucket\",so,{omit:[\"layers\",\"features\"]});var Cv={get paint(){return ou=ou||new ue({\"fill-extrusion-opacity\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new oo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Va(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Lv extends B{constructor(A){super(A,Cv)}createBucket(A){return new so(A)}queryRadius(){return Vn(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(A,F,W,te,fe,pe,Re,Ke){let ft=Qi(A,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),pe.angle,Re),Rt=this.paint.get(\"fill-extrusion-height\").evaluate(F,W),er=this.paint.get(\"fill-extrusion-base\").evaluate(F,W),ur=(function(kr,Dr,li,pi){let vn=[];for(let zi of kr){let ln=[zi.x,zi.y,0,1];qn(ln,ln,Dr),vn.push(new u(ln[0]/ln[3],ln[1]/ln[3]))}return vn})(ft,Ke),vr=(function(kr,Dr,li,pi){let vn=[],zi=[],ln=pi[8]*Dr,Tn=pi[9]*Dr,pa=pi[10]*Dr,ro=pi[11]*Dr,Vo=pi[8]*li,Xa=pi[9]*li,la=pi[10]*li,Mo=pi[11]*li;for(let fo of kr){let lo=[],Wn=[];for(let Ro of fo){let uo=Ro.x,$o=Ro.y,Ju=pi[0]*uo+pi[4]*$o+pi[12],Ou=pi[1]*uo+pi[5]*$o+pi[13],kh=pi[2]*uo+pi[6]*$o+pi[14],Qv=pi[3]*uo+pi[7]*$o+pi[15],ud=kh+pa,Ch=Qv+ro,Gd=Ju+Vo,Hd=Ou+Xa,jd=kh+la,Af=Qv+Mo,Lh=new u((Ju+ln)/Ch,(Ou+Tn)/Ch);Lh.z=ud/Ch,lo.push(Lh);let Ed=new u(Gd/Af,Hd/Af);Ed.z=jd/Af,Wn.push(Ed)}vn.push(lo),zi.push(Wn)}return[vn,zi]})(te,er,Rt,Ke);return(function(kr,Dr,li){let pi=1/0;bt(li,Dr)&&(pi=Kv(li,Dr[0]));for(let vn=0;vn<Dr.length;vn++){let zi=Dr[vn],ln=kr[vn];for(let Tn=0;Tn<zi.length-1;Tn++){let pa=zi[Tn],ro=[pa,zi[Tn+1],ln[Tn+1],ln[Tn],pa];Sc(li,ro)&&(pi=Math.min(pi,Kv(li,ro)))}}return pi!==1/0&&pi})(vr[0],vr[1],ur)}}function wd(R,A){return R.x*A.x+R.y*A.y}function Kv(R,A){if(R.length===1){let F=0,W=A[F++],te;for(;!te||W.equals(te);)if(te=A[F++],!te)return 1/0;for(;F<A.length;F++){let fe=A[F],pe=R[0],Re=te.sub(W),Ke=fe.sub(W),ft=pe.sub(W),Rt=wd(Re,Re),er=wd(Re,Ke),ur=wd(Ke,Ke),vr=wd(ft,Re),kr=wd(ft,Ke),Dr=Rt*ur-er*er,li=(ur*vr-er*kr)/Dr,pi=(Rt*kr-er*vr)/Dr,vn=W.z*(1-li-pi)+te.z*li+fe.z*pi;if(isFinite(vn))return vn}return 1/0}{let F=1/0;for(let W of A)F=Math.min(F,W.z);return F}}let hg=Fe([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:gp}=hg,Td=Fe([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:mp}=Td,Vd=_r.VectorTileFeature.types,Ad=Math.cos(Math.PI/180*37.5),Pv=Math.pow(2,14)/.5;class Jv{constructor(A){this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((F=>F.id)),this.index=A.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((F=>{this.gradients[F.id]={}})),this.layoutVertexArray=new Lu,this.layoutVertexArray2=new au,this.indexArray=new se,this.programConfigurations=new Ms(A.layers,A.zoom),this.segments=new Ye,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((F=>F.isStateDependent())).map((F=>F.id))}populate(A,F,W){this.hasPattern=st(\"line\",this.layers,F);let te=this.layers[0].layout.get(\"line-sort-key\"),fe=!te.isConstant(),pe=[];for(let{feature:Re,id:Ke,index:ft,sourceLayerIndex:Rt}of A){let er=this.layers[0]._featureFilter.needGeometry,ur=Ml(Re,er);if(!this.layers[0]._featureFilter.filter(new rs(this.zoom),ur,W))continue;let vr=fe?te.evaluate(ur,{},W):void 0,kr={id:Ke,properties:Re.properties,type:Re.type,sourceLayerIndex:Rt,index:ft,geometry:er?ur.geometry:$s(Re),patterns:{},sortKey:vr};pe.push(kr)}fe&&pe.sort(((Re,Ke)=>Re.sortKey-Ke.sortKey));for(let Re of pe){let{geometry:Ke,index:ft,sourceLayerIndex:Rt}=Re;if(this.hasPattern){let er=It(\"line\",this.layers,Re,this.zoom,F);this.patternFeatures.push(er)}else this.addFeature(Re,Ke,ft,W,{});F.featureIndex.insert(A[ft].feature,Ke,ft,Rt,this.index)}}update(A,F,W){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(A,F,this.stateDependentLayers,W)}addFeatures(A,F,W){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,F,W)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(A){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=A.createVertexBuffer(this.layoutVertexArray2,mp)),this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,gp),this.indexBuffer=A.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(A),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(A){if(A.properties&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(A.properties,\"mapbox_clip_end\"))return{start:+A.properties.mapbox_clip_start,end:+A.properties.mapbox_clip_end}}addFeature(A,F,W,te,fe){let pe=this.layers[0].layout,Re=pe.get(\"line-join\").evaluate(A,{}),Ke=pe.get(\"line-cap\"),ft=pe.get(\"line-miter-limit\"),Rt=pe.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(A);for(let er of F)this.addLine(er,A,Re,Ke,ft,Rt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,A,W,fe,te)}addLine(A,F,W,te,fe,pe){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let pi=0;pi<A.length-1;pi++)this.totalDistance+=A[pi].dist(A[pi+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}let Re=Vd[F.type]===\"Polygon\",Ke=A.length;for(;Ke>=2&&A[Ke-1].equals(A[Ke-2]);)Ke--;let ft=0;for(;ft<Ke-1&&A[ft].equals(A[ft+1]);)ft++;if(Ke<(Re?3:2))return;W===\"bevel\"&&(fe=1.05);let Rt=this.overscaling<=16?15*ja/(512*this.overscaling):0,er=this.segments.prepareSegment(10*Ke,this.layoutVertexArray,this.indexArray),ur,vr,kr,Dr,li;this.e1=this.e2=-1,Re&&(ur=A[Ke-2],li=A[ft].sub(ur)._unit()._perp());for(let pi=ft;pi<Ke;pi++){if(kr=pi===Ke-1?Re?A[ft+1]:void 0:A[pi+1],kr&&A[pi].equals(kr))continue;li&&(Dr=li),ur&&(vr=ur),ur=A[pi],li=kr?kr.sub(ur)._unit()._perp():Dr,Dr=Dr||li;let vn=Dr.add(li);vn.x===0&&vn.y===0||vn._unit();let zi=Dr.x*li.x+Dr.y*li.y,ln=vn.x*li.x+vn.y*li.y,Tn=ln!==0?1/ln:1/0,pa=2*Math.sqrt(2-2*ln),ro=ln<Ad&&vr&&kr,Vo=Dr.x*li.y-Dr.y*li.x>0;if(ro&&pi>ft){let Mo=ur.dist(vr);if(Mo>2*Rt){let fo=ur.sub(ur.sub(vr)._mult(Rt/Mo)._round());this.updateDistance(vr,fo),this.addCurrentVertex(fo,Dr,0,0,er),vr=fo}}let Xa=vr&&kr,la=Xa?W:Re?\"butt\":te;if(Xa&&la===\"round\"&&(Tn<pe?la=\"miter\":Tn<=2&&(la=\"fakeround\")),la===\"miter\"&&Tn>fe&&(la=\"bevel\"),la===\"bevel\"&&(Tn>2&&(la=\"flipbevel\"),Tn<fe&&(la=\"miter\")),vr&&this.updateDistance(vr,ur),la===\"miter\")vn._mult(Tn),this.addCurrentVertex(ur,vn,0,0,er);else if(la===\"flipbevel\"){if(Tn>100)vn=li.mult(-1);else{let Mo=Tn*Dr.add(li).mag()/Dr.sub(li).mag();vn._perp()._mult(Mo*(Vo?-1:1))}this.addCurrentVertex(ur,vn,0,0,er),this.addCurrentVertex(ur,vn.mult(-1),0,0,er)}else if(la===\"bevel\"||la===\"fakeround\"){let Mo=-Math.sqrt(Tn*Tn-1),fo=Vo?Mo:0,lo=Vo?0:Mo;if(vr&&this.addCurrentVertex(ur,Dr,fo,lo,er),la===\"fakeround\"){let Wn=Math.round(180*pa/Math.PI/20);for(let Ro=1;Ro<Wn;Ro++){let uo=Ro/Wn;if(uo!==.5){let Ju=uo-.5;uo+=uo*Ju*(uo-1)*((1.0904+zi*(zi*(3.55645-1.43519*zi)-3.2452))*Ju*Ju+(.848013+zi*(.215638*zi-1.06021)))}let $o=li.sub(Dr)._mult(uo)._add(Dr)._unit()._mult(Vo?-1:1);this.addHalfVertex(ur,$o.x,$o.y,!1,Vo,0,er)}}kr&&this.addCurrentVertex(ur,li,-fo,-lo,er)}else if(la===\"butt\")this.addCurrentVertex(ur,vn,0,0,er);else if(la===\"square\"){let Mo=vr?1:-1;this.addCurrentVertex(ur,vn,Mo,Mo,er)}else la===\"round\"&&(vr&&(this.addCurrentVertex(ur,Dr,0,0,er),this.addCurrentVertex(ur,Dr,1,1,er,!0)),kr&&(this.addCurrentVertex(ur,li,-1,-1,er,!0),this.addCurrentVertex(ur,li,0,0,er)));if(ro&&pi<Ke-1){let Mo=ur.dist(kr);if(Mo>2*Rt){let fo=ur.add(kr.sub(ur)._mult(Rt/Mo)._round());this.updateDistance(ur,fo),this.addCurrentVertex(fo,li,0,0,er),ur=fo}}}}addCurrentVertex(A,F,W,te,fe,pe=!1){let Re=F.y*te-F.x,Ke=-F.y-F.x*te;this.addHalfVertex(A,F.x+F.y*W,F.y-F.x*W,pe,!1,W,fe),this.addHalfVertex(A,Re,Ke,pe,!0,-te,fe),this.distance>Pv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(A,F,W,te,fe,pe))}addHalfVertex({x:A,y:F},W,te,fe,pe,Re,Ke){let ft=.5*(this.lineClips?this.scaledDistance*(Pv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((A<<1)+(fe?1:0),(F<<1)+(pe?1:0),Math.round(63*W)+128,Math.round(63*te)+128,1+(Re===0?0:Re<0?-1:1)|(63&ft)<<2,ft>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Rt=Ke.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Rt),Ke.primitiveLength++),pe?this.e2=Rt:this.e1=Rt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(A,F){this.distance+=A.dist(F),this.updateScaledDistance()}}let Iv,dy;Fi(\"LineBucket\",Jv,{omit:[\"layers\",\"patternFeatures\"]});var dg={get paint(){return dy=dy||new ue({\"line-opacity\":new oo(ce.paint_line[\"line-opacity\"]),\"line-color\":new oo(ce.paint_line[\"line-color\"]),\"line-translate\":new Va(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Va(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new oo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new oo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new oo(ce.paint_line[\"line-offset\"]),\"line-blur\":new oo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new hc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new Ku(ce.paint_line[\"line-gradient\"])})},get layout(){return Iv=Iv||new ue({\"line-cap\":new Va(ce.layout_line[\"line-cap\"]),\"line-join\":new oo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Va(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Va(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new oo(ce.layout_line[\"line-sort-key\"])})}};class oh extends oo{possiblyEvaluate(A,F){return F=new rs(Math.floor(F.zoom),{now:F.now,fadeDuration:F.fadeDuration,zoomHistory:F.zoomHistory,transition:F.transition}),super.possiblyEvaluate(A,F)}evaluate(A,F,W,te){return F=L({},F,{zoom:Math.floor(F.zoom)}),super.evaluate(A,F,W,te)}}let vg;class vy extends B{constructor(A){super(A,dg),this.gradientVersion=0,vg||(vg=new oh(dg.paint.properties[\"line-width\"].specification),vg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(A){if(A===\"line-gradient\"){let F=this.gradientExpression();this.stepInterpolant=!!(function(W){return W._styleExpression!==void 0})(F)&&F._styleExpression.expression instanceof _n,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(A,F){super.recalculate(A,F),this.paint._values[\"line-floorwidth\"]=vg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,A)}createBucket(A){return new Jv(A)}queryRadius(A){let F=A,W=Zh(Si(\"line-width\",this,F),Si(\"line-gap-width\",this,F)),te=Si(\"line-offset\",this,F);return W/2+Math.abs(te)+Vn(this.paint.get(\"line-translate\"))}queryIntersectsFeature(A,F,W,te,fe,pe,Re){let Ke=Qi(A,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),pe.angle,Re),ft=Re/2*Zh(this.paint.get(\"line-width\").evaluate(F,W),this.paint.get(\"line-gap-width\").evaluate(F,W)),Rt=this.paint.get(\"line-offset\").evaluate(F,W);return Rt&&(te=(function(er,ur){let vr=[];for(let kr=0;kr<er.length;kr++){let Dr=er[kr],li=[];for(let pi=0;pi<Dr.length;pi++){let vn=Dr[pi-1],zi=Dr[pi],ln=Dr[pi+1],Tn=pi===0?new u(0,0):zi.sub(vn)._unit()._perp(),pa=pi===Dr.length-1?new u(0,0):ln.sub(zi)._unit()._perp(),ro=Tn._add(pa)._unit(),Vo=ro.x*pa.x+ro.y*pa.y;Vo!==0&&ro._mult(1/Vo),li.push(ro._mult(ur)._add(zi))}vr.push(li)}return vr})(te,Rt*Re)),(function(er,ur,vr){for(let kr=0;kr<ur.length;kr++){let Dr=ur[kr];if(er.length>=3){for(let 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zC(R,A){let{expression:F}=A;if(F.kind===\"constant\")return{kind:\"constant\",layoutSize:F.evaluate(new rs(R+1))};if(F.kind===\"source\")return{kind:\"source\"};{let{zoomStops:W,interpolationType:te}=F,fe=0;for(;fe<W.length&&W[fe]<=R;)fe++;fe=Math.max(0,fe-1);let pe=fe;for(;pe<W.length&&W[pe]<R+1;)pe++;pe=Math.min(W.length-1,pe);let Re=W[fe],Ke=W[pe];return F.kind===\"composite\"?{kind:\"composite\",minZoom:Re,maxZoom:Ke,interpolationType:te}:{kind:\"camera\",minZoom:Re,maxZoom:Ke,minSize:F.evaluate(new rs(Re)),maxSize:F.evaluate(new rs(Ke)),interpolationType:te}}}function vS(R,A,F){let W=\"never\",te=R.get(A);return te?W=te:R.get(F)&&(W=\"always\"),W}let iq=_r.VectorTileFeature.types,nq=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Zw(R,A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=Re?Math.min(fm,Math.round(Re[0])):0,kr=Re?Math.min(fm,Math.round(Re[1])):0;R.emplaceBack(A,F,Math.round(32*W),Math.round(32*te),fe,pe,(vr<<1)+(Ke?1:0),kr,16*ft,16*Rt,256*er,256*ur)}function pS(R,A,F){R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F),R.emplaceBack(A.x,A.y,F)}function gS(R){for(let A of R.sections)if(no(A.text))return!0;return!1}class mS{constructor(A){this.layoutVertexArray=new eu,this.indexArray=new se,this.programConfigurations=A,this.segments=new Ye,this.dynamicLayoutVertexArray=new dc,this.opacityVertexArray=new Al,this.hasVisibleVertices=!1,this.placedSymbolArray=new Aa}isEmpty(){return this.layoutVertexArray.length===0&&this.indexArray.length===0&&this.dynamicLayoutVertexArray.length===0&&this.opacityVertexArray.length===0}upload(A,F,W,te){this.isEmpty()||(W&&(this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,am.members),this.indexBuffer=A.createIndexBuffer(this.indexArray,F),this.dynamicLayoutVertexBuffer=A.createVertexBuffer(this.dynamicLayoutVertexArray,C1.members,!0),this.opacityVertexBuffer=A.createVertexBuffer(this.opacityVertexArray,nq,!0),this.opacityVertexBuffer.itemSize=1),(W||te)&&this.programConfigurations.upload(A))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Fi(\"SymbolBuffers\",mS);class hm{constructor(A,F,W){this.layoutVertexArray=new A,this.layoutAttributes=F,this.indexArray=new W,this.segments=new Ye,this.collisionVertexArray=new X}upload(A){this.layoutVertexBuffer=A.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=A.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=A.createVertexBuffer(this.collisionVertexArray,L1.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Fi(\"CollisionBuffers\",hm);class D1{constructor(A){this.collisionBoxArray=A.collisionBoxArray,this.zoom=A.zoom,this.overscaling=A.overscaling,this.layers=A.layers,this.layerIds=this.layers.map((pe=>pe.id)),this.index=A.index,this.pixelRatio=A.pixelRatio,this.sourceLayerIndex=A.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Ii([]),this.placementViewportMatrix=Ii([]);let F=this.layers[0]._unevaluatedLayout._values;this.textSizeData=zC(this.zoom,F[\"text-size\"]),this.iconSizeData=zC(this.zoom,F[\"icon-size\"]);let W=this.layers[0].layout,te=W.get(\"symbol-sort-key\"),fe=W.get(\"symbol-z-order\");this.canOverlap=vS(W,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||vS(W,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||W.get(\"text-ignore-placement\")||W.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=fe!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(fe===\"viewport-y\"||fe===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,W.get(\"symbol-placement\")===\"point\"&&(this.writingModes=W.get(\"text-writing-mode\").map((pe=>i.ah[pe]))),this.stateDependentLayerIds=this.layers.filter((pe=>pe.isStateDependent())).map((pe=>pe.id)),this.sourceID=A.sourceID}createArrays(){this.text=new mS(new Ms(this.layers,this.zoom,(A=>/^text/.test(A)))),this.icon=new mS(new Ms(this.layers,this.zoom,(A=>/^icon/.test(A)))),this.glyphOffsetArray=new Co,this.lineVertexArray=new Qa,this.symbolInstances=new $a,this.textAnchorOffsets=new Bo}calculateGlyphDependencies(A,F,W,te,fe){for(let pe=0;pe<A.length;pe++)if(F[A.charCodeAt(pe)]=!0,(W||te)&&fe){let Re=vc[A.charAt(pe)];Re&&(F[Re.charCodeAt(0)]=!0)}}populate(A,F,W){let te=this.layers[0],fe=te.layout,pe=fe.get(\"text-font\"),Re=fe.get(\"text-field\"),Ke=fe.get(\"icon-image\"),ft=(Re.value.kind!==\"constant\"||Re.value.value instanceof ti&&!Re.value.value.isEmpty()||Re.value.value.toString().length>0)&&(pe.value.kind!==\"constant\"||pe.value.value.length>0),Rt=Ke.value.kind!==\"constant\"||!!Ke.value.value||Object.keys(Ke.parameters).length>0,er=fe.get(\"symbol-sort-key\");if(this.features=[],!ft&&!Rt)return;let ur=F.iconDependencies,vr=F.glyphDependencies,kr=F.availableImages,Dr=new rs(this.zoom);for(let{feature:li,id:pi,index:vn,sourceLayerIndex:zi}of A){let ln=te._featureFilter.needGeometry,Tn=Ml(li,ln);if(!te._featureFilter.filter(Dr,Tn,W))continue;let pa,ro;if(ln||(Tn.geometry=$s(li)),ft){let Xa=te.getValueAndResolveTokens(\"text-field\",Tn,W,kr),la=ti.factory(Xa),Mo=this.hasRTLText=this.hasRTLText||gS(la);(!Mo||ys.getRTLTextPluginStatus()===\"unavailable\"||Mo&&ys.isParsed())&&(pa=sm(la,te,Tn))}if(Rt){let Xa=te.getValueAndResolveTokens(\"icon-image\",Tn,W,kr);ro=Xa instanceof en?Xa:en.fromString(Xa)}if(!pa&&!ro)continue;let Vo=this.sortFeaturesByKey?er.evaluate(Tn,{},W):void 0;if(this.features.push({id:pi,text:pa,icon:ro,index:vn,sourceLayerIndex:zi,geometry:Tn.geometry,properties:li.properties,type:iq[li.type],sortKey:Vo}),ro&&(ur[ro.name]=!0),pa){let Xa=pe.evaluate(Tn,{},W).join(\",\"),la=fe.get(\"text-rotation-alignment\")!==\"viewport\"&&fe.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let Mo of pa.sections)if(Mo.image)ur[Mo.image.name]=!0;else{let fo=Ka(pa.toString()),lo=Mo.fontStack||Xa,Wn=vr[lo]=vr[lo]||{};this.calculateGlyphDependencies(Mo.text,Wn,la,this.allowVerticalPlacement,fo)}}}fe.get(\"symbol-placement\")===\"line\"&&(this.features=(function(li){let pi={},vn={},zi=[],ln=0;function Tn(Xa){zi.push(li[Xa]),ln++}function pa(Xa,la,Mo){let fo=vn[Xa];return delete vn[Xa],vn[la]=fo,zi[fo].geometry[0].pop(),zi[fo].geometry[0]=zi[fo].geometry[0].concat(Mo[0]),fo}function ro(Xa,la,Mo){let fo=pi[la];return delete pi[la],pi[Xa]=fo,zi[fo].geometry[0].shift(),zi[fo].geometry[0]=Mo[0].concat(zi[fo].geometry[0]),fo}function Vo(Xa,la,Mo){let fo=Mo?la[0][la[0].length-1]:la[0][0];return`${Xa}:${fo.x}:${fo.y}`}for(let Xa=0;Xa<li.length;Xa++){let la=li[Xa],Mo=la.geometry,fo=la.text?la.text.toString():null;if(!fo){Tn(Xa);continue}let lo=Vo(fo,Mo),Wn=Vo(fo,Mo,!0);if(lo in vn&&Wn in pi&&vn[lo]!==pi[Wn]){let Ro=ro(lo,Wn,Mo),uo=pa(lo,Wn,zi[Ro].geometry);delete pi[lo],delete vn[Wn],vn[Vo(fo,zi[uo].geometry,!0)]=uo,zi[Ro].geometry=null}else lo in vn?pa(lo,Wn,Mo):Wn in pi?ro(lo,Wn,Mo):(Tn(Xa),pi[lo]=ln-1,vn[Wn]=ln-1)}return zi.filter((Xa=>Xa.geometry))})(this.features)),this.sortFeaturesByKey&&this.features.sort(((li,pi)=>li.sortKey-pi.sortKey))}update(A,F,W){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(A,F,this.layers,W),this.icon.programConfigurations.updatePaintArrays(A,F,this.layers,W))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(A){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(A),this.iconCollisionBox.upload(A)),this.text.upload(A,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(A,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(A,F){let W=this.lineVertexArray.length;if(A.segment!==void 0){let te=A.dist(F[A.segment+1]),fe=A.dist(F[A.segment]),pe={};for(let Re=A.segment+1;Re<F.length;Re++)pe[Re]={x:F[Re].x,y:F[Re].y,tileUnitDistanceFromAnchor:te},Re<F.length-1&&(te+=F[Re+1].dist(F[Re]));for(let Re=A.segment||0;Re>=0;Re--)pe[Re]={x:F[Re].x,y:F[Re].y,tileUnitDistanceFromAnchor:fe},Re>0&&(fe+=F[Re-1].dist(F[Re]));for(let Re=0;Re<F.length;Re++){let Ke=pe[Re];this.lineVertexArray.emplaceBack(Ke.x,Ke.y,Ke.tileUnitDistanceFromAnchor)}}return{lineStartIndex:W,lineLength:this.lineVertexArray.length-W}}addSymbols(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er,ur){let vr=A.indexArray,kr=A.layoutVertexArray,Dr=A.segments.prepareSegment(4*F.length,kr,vr,this.canOverlap?pe.sortKey:void 0),li=this.glyphOffsetArray.length,pi=Dr.vertexLength,vn=this.allowVerticalPlacement&&Re===i.ah.vertical?Math.PI/2:0,zi=pe.text&&pe.text.sections;for(let ln=0;ln<F.length;ln++){let{tl:Tn,tr:pa,bl:ro,br:Vo,tex:Xa,pixelOffsetTL:la,pixelOffsetBR:Mo,minFontScaleX:fo,minFontScaleY:lo,glyphOffset:Wn,isSDF:Ro,sectionIndex:uo}=F[ln],$o=Dr.vertexLength,Ju=Wn[1];Zw(kr,Ke.x,Ke.y,Tn.x,Ju+Tn.y,Xa.x,Xa.y,W,Ro,la.x,la.y,fo,lo),Zw(kr,Ke.x,Ke.y,pa.x,Ju+pa.y,Xa.x+Xa.w,Xa.y,W,Ro,Mo.x,la.y,fo,lo),Zw(kr,Ke.x,Ke.y,ro.x,Ju+ro.y,Xa.x,Xa.y+Xa.h,W,Ro,la.x,Mo.y,fo,lo),Zw(kr,Ke.x,Ke.y,Vo.x,Ju+Vo.y,Xa.x+Xa.w,Xa.y+Xa.h,W,Ro,Mo.x,Mo.y,fo,lo),pS(A.dynamicLayoutVertexArray,Ke,vn),vr.emplaceBack($o,$o+1,$o+2),vr.emplaceBack($o+1,$o+2,$o+3),Dr.vertexLength+=4,Dr.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(Wn[0]),ln!==F.length-1&&uo===F[ln+1].sectionIndex||A.programConfigurations.populatePaintArrays(kr.length,pe,pe.index,{},ur,zi&&zi[uo])}A.placedSymbolArray.emplaceBack(Ke.x,Ke.y,li,this.glyphOffsetArray.length-li,pi,ft,Rt,Ke.segment,W?W[0]:0,W?W[1]:0,te[0],te[1],Re,0,!1,0,er)}_addCollisionDebugVertex(A,F,W,te,fe,pe){return F.emplaceBack(0,0),A.emplaceBack(W.x,W.y,te,fe,Math.round(pe.x),Math.round(pe.y))}addCollisionDebugVertices(A,F,W,te,fe,pe,Re){let Ke=fe.segments.prepareSegment(4,fe.layoutVertexArray,fe.indexArray),ft=Ke.vertexLength,Rt=fe.layoutVertexArray,er=fe.collisionVertexArray,ur=Re.anchorX,vr=Re.anchorY;this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(A,F)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(W,F)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(W,te)),this._addCollisionDebugVertex(Rt,er,pe,ur,vr,new u(A,te)),Ke.vertexLength+=4;let kr=fe.indexArray;kr.emplaceBack(ft,ft+1),kr.emplaceBack(ft+1,ft+2),kr.emplaceBack(ft+2,ft+3),kr.emplaceBack(ft+3,ft),Ke.primitiveLength+=4}addDebugCollisionBoxes(A,F,W,te){for(let fe=A;fe<F;fe++){let pe=this.collisionBoxArray.get(fe);this.addCollisionDebugVertices(pe.x1,pe.y1,pe.x2,pe.y2,te?this.textCollisionBox:this.iconCollisionBox,pe.anchorPoint,W)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hm(Sl,py.members,Te),this.iconCollisionBox=new hm(Sl,py.members,Te);for(let A=0;A<this.symbolInstances.length;A++){let F=this.symbolInstances.get(A);this.addDebugCollisionBoxes(F.textBoxStartIndex,F.textBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.verticalTextBoxStartIndex,F.verticalTextBoxEndIndex,F,!0),this.addDebugCollisionBoxes(F.iconBoxStartIndex,F.iconBoxEndIndex,F,!1),this.addDebugCollisionBoxes(F.verticalIconBoxStartIndex,F.verticalIconBoxEndIndex,F,!1)}}_deserializeCollisionBoxesForSymbol(A,F,W,te,fe,pe,Re,Ke,ft){let Rt={};for(let er=F;er<W;er++){let ur=A.get(er);Rt.textBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.textFeatureIndex=ur.featureIndex;break}for(let er=te;er<fe;er++){let ur=A.get(er);Rt.verticalTextBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.verticalTextFeatureIndex=ur.featureIndex;break}for(let er=pe;er<Re;er++){let ur=A.get(er);Rt.iconBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.iconFeatureIndex=ur.featureIndex;break}for(let er=Ke;er<ft;er++){let ur=A.get(er);Rt.verticalIconBox={x1:ur.x1,y1:ur.y1,x2:ur.x2,y2:ur.y2,anchorPointX:ur.anchorPointX,anchorPointY:ur.anchorPointY},Rt.verticalIconFeatureIndex=ur.featureIndex;break}return Rt}deserializeCollisionBoxes(A){this.collisionArrays=[];for(let F=0;F<this.symbolInstances.length;F++){let W=this.symbolInstances.get(F);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(A,W.textBoxStartIndex,W.textBoxEndIndex,W.verticalTextBoxStartIndex,W.verticalTextBoxEndIndex,W.iconBoxStartIndex,W.iconBoxEndIndex,W.verticalIconBoxStartIndex,W.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(A,F){let W=A.placedSymbolArray.get(F),te=W.vertexStartIndex+4*W.numGlyphs;for(let fe=W.vertexStartIndex;fe<te;fe+=4)A.indexArray.emplaceBack(fe,fe+1,fe+2),A.indexArray.emplaceBack(fe+1,fe+2,fe+3)}getSortedSymbolIndexes(A){if(this.sortedAngle===A&&this.symbolInstanceIndexes!==void 0)return this.symbolInstanceIndexes;let F=Math.sin(A),W=Math.cos(A),te=[],fe=[],pe=[];for(let Re=0;Re<this.symbolInstances.length;++Re){pe.push(Re);let Ke=this.symbolInstances.get(Re);te.push(0|Math.round(F*Ke.anchorX+W*Ke.anchorY)),fe.push(Ke.featureIndex)}return pe.sort(((Re,Ke)=>te[Re]-te[Ke]||fe[Ke]-fe[Re])),pe}addToSortKeyRanges(A,F){let W=this.sortKeyRanges[this.sortKeyRanges.length-1];W&&W.sortKey===F?W.symbolInstanceEnd=A+1:this.sortKeyRanges.push({sortKey:F,symbolInstanceStart:A,symbolInstanceEnd:A+1})}sortFeatures(A){if(this.sortFeaturesByY&&this.sortedAngle!==A&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(A),this.sortedAngle=A,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let F of this.symbolInstanceIndexes){let W=this.symbolInstances.get(F);this.featureSortOrder.push(W.featureIndex),[W.rightJustifiedTextSymbolIndex,W.centerJustifiedTextSymbolIndex,W.leftJustifiedTextSymbolIndex].forEach(((te,fe,pe)=>{te>=0&&pe.indexOf(te)===fe&&this.addIndicesForPlacedSymbol(this.text,te)})),W.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,W.verticalPlacedTextSymbolIndex),W.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.placedIconSymbolIndex),W.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,W.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Tf,ib;Fi(\"SymbolBucket\",D1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),D1.MAX_GLYPHS=65535,D1.addDynamicAttributes=pS;var Yw={get paint(){return ib=ib||new ue({\"icon-opacity\":new oo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new oo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new oo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new oo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new oo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Va(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Va(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new oo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new oo(ce.paint_symbol[\"text-color\"],{runtimeType:jt,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new oo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new oo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new oo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Va(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Va(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Tf=Tf||new ue({\"symbol-placement\":new Va(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Va(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Va(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new oo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Va(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Va(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Va(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Va(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Va(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Va(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new oo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Va(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Va(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new oo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new oo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new oo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Va(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new oo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new oo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Va(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Va(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Va(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new oo(ce.layout_symbol[\"text-field\"]),\"text-font\":new oo(ce.layout_symbol[\"text-font\"]),\"text-size\":new oo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new oo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Va(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new oo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new oo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new oo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Va(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new oo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new oo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Va(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Va(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new oo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Va(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Va(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new oo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new oo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Va(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Va(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Va(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Va(ce.layout_symbol[\"text-optional\"])})}};class nb{constructor(A){if(A.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=A.property.overrides?A.property.overrides.runtimeType:Tt,this.defaultValue=A}evaluate(A){if(A.formattedSection){let F=this.defaultValue.property.overrides;if(F&&F.hasOverride(A.formattedSection))return F.getOverride(A.formattedSection)}return A.feature&&A.featureState?this.defaultValue.evaluate(A.feature,A.featureState):this.defaultValue.property.specification.default}eachChild(A){this.defaultValue.isConstant()||A(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Fi(\"FormatSectionOverride\",nb,{omit:[\"defaultValue\"]});class yy extends B{constructor(A){super(A,Yw)}recalculate(A,F){if(super.recalculate(A,F),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let W=this.layout.get(\"text-writing-mode\");if(W){let te=[];for(let fe of W)te.indexOf(fe)<0&&te.push(fe);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(A,F,W,te){let fe=this.layout.get(A).evaluate(F,{},W,te),pe=this._unevaluatedLayout._values[A];return pe.isDataDriven()||Dc(pe.value)||!fe?fe:(function(Re,Ke){return Ke.replace(/{([^{}]+)}/g,((ft,Rt)=>Re&&Rt in Re?String(Re[Rt]):\"\"))})(F.properties,fe)}createBucket(A){return new D1(A)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let A of Yw.paint.overridableProperties){if(!yy.hasPaintOverride(this.layout,A))continue;let F=this.paint.get(A),W=new nb(F),te=new Eu(W,F.property.specification),fe=null;fe=F.value.kind===\"constant\"||F.value.kind===\"source\"?new bc(\"source\",te):new hu(\"composite\",te,F.value.zoomStops),this.paint._values[A]=new xu(F.property,fe,F.parameters)}}_handleOverridablePaintPropertyUpdate(A,F,W){return!(!this.layout||F.isDataDriven()||W.isDataDriven())&&yy.hasPaintOverride(this.layout,A)}static hasPaintOverride(A,F){let W=A.get(\"text-field\"),te=Yw.paint.properties[F],fe=!1,pe=Re=>{for(let Ke of Re)if(te.overrides&&te.overrides.hasOverride(Ke))return void(fe=!0)};if(W.value.kind===\"constant\"&&W.value.value instanceof ti)pe(W.value.value.sections);else if(W.value.kind===\"source\"){let Re=ft=>{fe||(ft instanceof ua&&Mn(ft.value)===ei?pe(ft.value.sections):ft instanceof Yl?pe(ft.sections):ft.eachChild(Re))},Ke=W.value;Ke._styleExpression&&Re(Ke._styleExpression.expression)}return fe}}let qC;var ab={get paint(){return qC=qC||new ue({\"background-color\":new Va(ce.paint_background[\"background-color\"]),\"background-pattern\":new hc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Va(ce.paint_background[\"background-opacity\"])})}};class aq extends B{constructor(A){super(A,ab)}}let yS;var OC={get paint(){return yS=yS||new ue({\"raster-opacity\":new Va(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Va(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Va(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Va(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Va(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Va(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Va(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Va(ce.paint_raster[\"raster-fade-duration\"])})}};class ob extends B{constructor(A){super(A,OC)}}class _S extends B{constructor(A){super(A,{}),this.onAdd=F=>{this.implementation.onAdd&&this.implementation.onAdd(F,F.painter.context.gl)},this.onRemove=F=>{this.implementation.onRemove&&this.implementation.onRemove(F,F.painter.context.gl)},this.implementation=A}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class xS{constructor(A){this._methodToThrottle=A,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let bS=63710088e-1;class pg{constructor(A,F){if(isNaN(A)||isNaN(F))throw new Error(`Invalid LngLat object: (${A}, ${F})`);if(this.lng=+A,this.lat=+F,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new pg(T(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(A){let F=Math.PI/180,W=this.lat*F,te=A.lat*F,fe=Math.sin(W)*Math.sin(te)+Math.cos(W)*Math.cos(te)*Math.cos((A.lng-this.lng)*F);return bS*Math.acos(Math.min(fe,1))}static convert(A){if(A instanceof pg)return A;if(Array.isArray(A)&&(A.length===2||A.length===3))return new pg(Number(A[0]),Number(A[1]));if(!Array.isArray(A)&&typeof A==\"object\"&&A!==null)return new pg(Number(\"lng\"in A?A.lng:A.lon),Number(A.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}let F1=2*Math.PI*bS;function BC(R){return F1*Math.cos(R*Math.PI/180)}function Kw(R){return(180+R)/360}function NC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function Jw(R,A){return R/BC(A)}function sb(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class lb{constructor(A,F,W=0){this.x=+A,this.y=+F,this.z=+W}static fromLngLat(A,F=0){let W=pg.convert(A);return new lb(Kw(W.lng),NC(W.lat),Jw(F,W.lat))}toLngLat(){return new pg(360*this.x-180,sb(this.y))}toAltitude(){return this.z*BC(sb(this.y))}meterInMercatorCoordinateUnits(){return 1/F1*(A=sb(this.y),1/Math.cos(A*Math.PI/180));var A}}function yp(R,A,F){var W=2*Math.PI*6378137/256/Math.pow(2,F);return[R*W-2*Math.PI*6378137/2,A*W-2*Math.PI*6378137/2]}class wS{constructor(A,F,W){if(!(function(te,fe,pe){return!(te<0||te>25||pe<0||pe>=Math.pow(2,te)||fe<0||fe>=Math.pow(2,te))})(A,F,W))throw new Error(`x=${F}, y=${W}, z=${A} outside of bounds. 0<=x<${Math.pow(2,A)}, 0<=y<${Math.pow(2,A)} 0<=z<=25 `);this.z=A,this.x=F,this.y=W,this.key=ub(0,A,A,F,W)}equals(A){return this.z===A.z&&this.x===A.x&&this.y===A.y}url(A,F,W){let te=(pe=this.y,Re=this.z,Ke=yp(256*(fe=this.x),256*(pe=Math.pow(2,Re)-pe-1),Re),ft=yp(256*(fe+1),256*(pe+1),Re),Ke[0]+\",\"+Ke[1]+\",\"+ft[0]+\",\"+ft[1]);var fe,pe,Re,Ke,ft;let Rt=(function(er,ur,vr){let kr,Dr=\"\";for(let li=er;li>0;li--)kr=1<<li-1,Dr+=(ur&kr?1:0)+(vr&kr?2:0);return Dr})(this.z,this.x,this.y);return A[(this.x+this.y)%A.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(W===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,F>1?\"@2x\":\"\").replace(/{quadkey}/g,Rt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(A){let F=this.z-A.z;return F>0&&A.x===this.x>>F&&A.y===this.y>>F}getTilePoint(A){let F=Math.pow(2,this.z);return new u((A.x*F-this.x)*ja,(A.y*F-this.y)*ja)}toString(){return`${this.z}/${this.x}/${this.y}`}}class UC{constructor(A,F){this.wrap=A,this.canonical=F,this.key=ub(A,F.z,F.z,F.x,F.y)}}class $v{constructor(A,F,W,te,fe){if(A<W)throw new Error(`overscaledZ should be >= z; overscaledZ = ${A}; z = ${W}`);this.overscaledZ=A,this.wrap=F,this.canonical=new wS(W,+te,+fe),this.key=ub(F,A,W,te,fe)}clone(){return new $v(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(A){return this.overscaledZ===A.overscaledZ&&this.wrap===A.wrap&&this.canonical.equals(A.canonical)}scaledTo(A){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let F=this.canonical.z-A;return A>this.canonical.z?new $v(A,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new $v(A,this.wrap,A,this.canonical.x>>F,this.canonical.y>>F)}calculateScaledKey(A,F){if(A>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${A}; overscaledZ = ${this.overscaledZ}`);let W=this.canonical.z-A;return A>this.canonical.z?ub(this.wrap*+F,A,this.canonical.z,this.canonical.x,this.canonical.y):ub(this.wrap*+F,A,A,this.canonical.x>>W,this.canonical.y>>W)}isChildOf(A){if(A.wrap!==this.wrap)return!1;let F=this.canonical.z-A.canonical.z;return A.overscaledZ===0||A.overscaledZ<this.overscaledZ&&A.canonical.x===this.canonical.x>>F&&A.canonical.y===this.canonical.y>>F}children(A){if(this.overscaledZ>=A)return[new $v(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let F=this.canonical.z+1,W=2*this.canonical.x,te=2*this.canonical.y;return[new $v(F,this.wrap,F,W,te),new $v(F,this.wrap,F,W+1,te),new $v(F,this.wrap,F,W,te+1),new $v(F,this.wrap,F,W+1,te+1)]}isLessThan(A){return this.wrap<A.wrap||!(this.wrap>A.wrap)&&(this.overscaledZ<A.overscaledZ||!(this.overscaledZ>A.overscaledZ)&&(this.canonical.x<A.canonical.x||!(this.canonical.x>A.canonical.x)&&this.canonical.y<A.canonical.y))}wrapped(){return new $v(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(A){return new $v(this.overscaledZ,A,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new UC(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(A){return this.canonical.getTilePoint(new lb(A.x-this.wrap,A.y))}}function ub(R,A,F,W,te){(R*=2)<0&&(R=-1*R-1);let fe=1<<F;return(fe*fe*R+fe*te+W).toString(36)+F.toString(36)+A.toString(36)}Fi(\"CanonicalTileID\",wS),Fi(\"OverscaledTileID\",$v,{omit:[\"posMatrix\"]});class VC{constructor(A,F,W,te=1,fe=1,pe=1,Re=0){if(this.uid=A,F.height!==F.width)throw new RangeError(\"DEM tiles must be square\");if(W&&![\"mapbox\",\"terrarium\",\"custom\"].includes(W))return void E(`\"${W}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=F.height;let Ke=this.dim=F.height-2;switch(this.data=new Uint32Array(F.data.buffer),W){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=te,this.greenFactor=fe,this.blueFactor=pe,this.baseShift=Re;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let ft=0;ft<Ke;ft++)this.data[this._idx(-1,ft)]=this.data[this._idx(0,ft)],this.data[this._idx(Ke,ft)]=this.data[this._idx(Ke-1,ft)],this.data[this._idx(ft,-1)]=this.data[this._idx(ft,0)],this.data[this._idx(ft,Ke)]=this.data[this._idx(ft,Ke-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(Ke,-1)]=this.data[this._idx(Ke-1,0)],this.data[this._idx(-1,Ke)]=this.data[this._idx(0,Ke-1)],this.data[this._idx(Ke,Ke)]=this.data[this._idx(Ke-1,Ke-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let ft=0;ft<Ke;ft++)for(let Rt=0;Rt<Ke;Rt++){let er=this.get(ft,Rt);er>this.max&&(this.max=er),er<this.min&&(this.min=er)}}get(A,F){let W=new Uint8Array(this.data.buffer),te=4*this._idx(A,F);return this.unpack(W[te],W[te+1],W[te+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(A,F){if(A<-1||A>=this.dim+1||F<-1||F>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(F+1)*this.stride+(A+1)}unpack(A,F,W){return A*this.redFactor+F*this.greenFactor+W*this.blueFactor-this.baseShift}getPixels(){return new Ki({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(A,F,W){if(this.dim!==A.dim)throw new Error(\"dem dimension mismatch\");let te=F*this.dim,fe=F*this.dim+this.dim,pe=W*this.dim,Re=W*this.dim+this.dim;switch(F){case-1:te=fe-1;break;case 1:fe=te+1}switch(W){case-1:pe=Re-1;break;case 1:Re=pe+1}let Ke=-F*this.dim,ft=-W*this.dim;for(let Rt=pe;Rt<Re;Rt++)for(let er=te;er<fe;er++)this.data[this._idx(er,Rt)]=A.data[this._idx(er+Ke,Rt+ft)]}}Fi(\"DEMData\",VC);class GC{constructor(A){this._stringToNumber={},this._numberToString=[];for(let F=0;F<A.length;F++){let W=A[F];this._stringToNumber[W]=F,this._numberToString[F]=W}}encode(A){return this._stringToNumber[A]}decode(A){if(A>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${A} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[A]}}class TS{constructor(A,F,W,te,fe){this.type=\"Feature\",this._vectorTileFeature=A,A._z=F,A._x=W,A._y=te,this.properties=A.properties,this.id=fe}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(A){this._geometry=A}toJSON(){let A={geometry:this.geometry};for(let F in this)F!==\"_geometry\"&&F!==\"_vectorTileFeature\"&&(A[F]=this[F]);return A}}class _y{constructor(A,F){this.tileID=A,this.x=A.canonical.x,this.y=A.canonical.y,this.z=A.canonical.z,this.grid=new $i(ja,16,0),this.grid3D=new $i(ja,16,0),this.featureIndexArray=new Ts,this.promoteId=F}insert(A,F,W,te,fe,pe){let Re=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(W,te,fe);let Ke=pe?this.grid3D:this.grid;for(let ft=0;ft<F.length;ft++){let Rt=F[ft],er=[1/0,1/0,-1/0,-1/0];for(let ur=0;ur<Rt.length;ur++){let vr=Rt[ur];er[0]=Math.min(er[0],vr.x),er[1]=Math.min(er[1],vr.y),er[2]=Math.max(er[2],vr.x),er[3]=Math.max(er[3],vr.y)}er[0]<ja&&er[1]<ja&&er[2]>=0&&er[3]>=0&&Ke.insert(Re,er[0],er[1],er[2],er[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new _r.VectorTile(new fS(this.rawTileData)).layers,this.sourceLayerCoder=new GC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(A,F,W,te){this.loadVTLayers();let fe=A.params||{},pe=ja/A.tileSize/A.scale,Re=Fc(fe.filter),Ke=A.queryGeometry,ft=A.queryPadding*pe,Rt=jC(Ke),er=this.grid.query(Rt.minX-ft,Rt.minY-ft,Rt.maxX+ft,Rt.maxY+ft),ur=jC(A.cameraQueryGeometry),vr=this.grid3D.query(ur.minX-ft,ur.minY-ft,ur.maxX+ft,ur.maxY+ft,((li,pi,vn,zi)=>(function(ln,Tn,pa,ro,Vo){for(let la of ln)if(Tn<=la.x&&pa<=la.y&&ro>=la.x&&Vo>=la.y)return!0;let Xa=[new u(Tn,pa),new u(Tn,Vo),new u(ro,Vo),new u(ro,pa)];if(ln.length>2){for(let la of Xa)if(Ni(ln,la))return!0}for(let la=0;la<ln.length-1;la++)if(qi(ln[la],ln[la+1],Xa))return!0;return!1})(A.cameraQueryGeometry,li-ft,pi-ft,vn+ft,zi+ft)));for(let li of vr)er.push(li);er.sort(oq);let kr={},Dr;for(let li=0;li<er.length;li++){let pi=er[li];if(pi===Dr)continue;Dr=pi;let vn=this.featureIndexArray.get(pi),zi=null;this.loadMatchingFeature(kr,vn.bucketIndex,vn.sourceLayerIndex,vn.featureIndex,Re,fe.layers,fe.availableImages,F,W,te,((ln,Tn,pa)=>(zi||(zi=$s(ln)),Tn.queryIntersectsFeature(Ke,ln,pa,zi,this.z,A.transform,pe,A.pixelPosMatrix))))}return kr}loadMatchingFeature(A,F,W,te,fe,pe,Re,Ke,ft,Rt,er){let ur=this.bucketLayerIDs[F];if(pe&&!(function(li,pi){for(let vn=0;vn<li.length;vn++)if(pi.indexOf(li[vn])>=0)return!0;return!1})(pe,ur))return;let vr=this.sourceLayerCoder.decode(W),kr=this.vtLayers[vr].feature(te);if(fe.needGeometry){let li=Ml(kr,!0);if(!fe.filter(new rs(this.tileID.overscaledZ),li,this.tileID.canonical))return}else if(!fe.filter(new rs(this.tileID.overscaledZ),kr))return;let Dr=this.getId(kr,vr);for(let li=0;li<ur.length;li++){let pi=ur[li];if(pe&&pe.indexOf(pi)<0)continue;let vn=Ke[pi];if(!vn)continue;let zi={};Dr&&Rt&&(zi=Rt.getState(vn.sourceLayer||\"_geojsonTileLayer\",Dr));let ln=L({},ft[pi]);ln.paint=HC(ln.paint,vn.paint,kr,zi,Re),ln.layout=HC(ln.layout,vn.layout,kr,zi,Re);let Tn=!er||er(kr,vn,zi);if(!Tn)continue;let pa=new TS(kr,this.z,this.x,this.y,Dr);pa.layer=ln;let ro=A[pi];ro===void 0&&(ro=A[pi]=[]),ro.push({featureIndex:te,feature:pa,intersectionZ:Tn})}}lookupSymbolFeatures(A,F,W,te,fe,pe,Re,Ke){let ft={};this.loadVTLayers();let Rt=Fc(fe);for(let er of A)this.loadMatchingFeature(ft,W,te,er,Rt,pe,Re,Ke,F);return ft}hasLayer(A){for(let F of this.bucketLayerIDs)for(let W of F)if(A===W)return!0;return!1}getId(A,F){let W=A.id;return this.promoteId&&(W=A.properties[typeof this.promoteId==\"string\"?this.promoteId:this.promoteId[F]],typeof W==\"boolean\"&&(W=Number(W))),W}}function HC(R,A,F,W,te){return C(R,((fe,pe)=>{let Re=A instanceof Ac?A.get(pe):null;return Re&&Re.evaluate?Re.evaluate(F,W,te):Re}))}function jC(R){let A=1/0,F=1/0,W=-1/0,te=-1/0;for(let fe of R)A=Math.min(A,fe.x),F=Math.min(F,fe.y),W=Math.max(W,fe.x),te=Math.max(te,fe.y);return{minX:A,minY:F,maxX:W,maxY:te}}function oq(R,A){return A-R}function WC(R,A,F,W,te){let fe=[];for(let pe=0;pe<R.length;pe++){let Re=R[pe],Ke;for(let ft=0;ft<Re.length-1;ft++){let Rt=Re[ft],er=Re[ft+1];Rt.x<A&&er.x<A||(Rt.x<A?Rt=new u(A,Rt.y+(A-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round():er.x<A&&(er=new u(A,Rt.y+(A-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round()),Rt.y<F&&er.y<F||(Rt.y<F?Rt=new u(Rt.x+(F-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),F)._round():er.y<F&&(er=new u(Rt.x+(F-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),F)._round()),Rt.x>=W&&er.x>=W||(Rt.x>=W?Rt=new u(W,Rt.y+(W-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round():er.x>=W&&(er=new u(W,Rt.y+(W-Rt.x)/(er.x-Rt.x)*(er.y-Rt.y))._round()),Rt.y>=te&&er.y>=te||(Rt.y>=te?Rt=new u(Rt.x+(te-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),te)._round():er.y>=te&&(er=new u(Rt.x+(te-Rt.y)/(er.y-Rt.y)*(er.x-Rt.x),te)._round()),Ke&&Rt.equals(Ke[Ke.length-1])||(Ke=[Rt],fe.push(Ke)),Ke.push(er)))))}}return fe}Fi(\"FeatureIndex\",_y,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class gg extends u{constructor(A,F,W,te){super(A,F),this.angle=W,te!==void 0&&(this.segment=te)}clone(){return new gg(this.x,this.y,this.angle,this.segment)}}function AS(R,A,F,W,te){if(A.segment===void 0||F===0)return!0;let fe=A,pe=A.segment+1,Re=0;for(;Re>-F/2;){if(pe--,pe<0)return!1;Re-=R[pe].dist(fe),fe=R[pe]}Re+=R[pe].dist(R[pe+1]),pe++;let Ke=[],ft=0;for(;Re<F/2;){let Rt=R[pe],er=R[pe+1];if(!er)return!1;let ur=R[pe-1].angleTo(Rt)-Rt.angleTo(er);for(ur=Math.abs((ur+3*Math.PI)%(2*Math.PI)-Math.PI),Ke.push({distance:Re,angleDelta:ur}),ft+=ur;Re-Ke[0].distance>W;)ft-=Ke.shift().angleDelta;if(ft>te)return!1;pe++,Re+=Rt.dist(er)}return!0}function XC(R){let A=0;for(let F=0;F<R.length-1;F++)A+=R[F].dist(R[F+1]);return A}function ZC(R,A,F){return R?.6*A*F:0}function YC(R,A){return Math.max(R?R.right-R.left:0,A?A.right-A.left:0)}function sq(R,A,F,W,te,fe){let pe=ZC(F,te,fe),Re=YC(F,W)*fe,Ke=0,ft=XC(R)/2;for(let Rt=0;Rt<R.length-1;Rt++){let er=R[Rt],ur=R[Rt+1],vr=er.dist(ur);if(Ke+vr>ft){let kr=(ft-Ke)/vr,Dr=Lo.number(er.x,ur.x,kr),li=Lo.number(er.y,ur.y,kr),pi=new gg(Dr,li,ur.angleTo(er),Rt);return pi._round(),!pe||AS(R,pi,Re,pe,A)?pi:void 0}Ke+=vr}}function lq(R,A,F,W,te,fe,pe,Re,Ke){let ft=ZC(W,fe,pe),Rt=YC(W,te),er=Rt*pe,ur=R[0].x===0||R[0].x===Ke||R[0].y===0||R[0].y===Ke;return A-er<A/4&&(A=er+A/4),KC(R,ur?A/2*Re%A:(Rt/2+2*fe)*pe*Re%A,A,ft,F,er,ur,!1,Ke)}function KC(R,A,F,W,te,fe,pe,Re,Ke){let ft=fe/2,Rt=XC(R),er=0,ur=A-F,vr=[];for(let kr=0;kr<R.length-1;kr++){let Dr=R[kr],li=R[kr+1],pi=Dr.dist(li),vn=li.angleTo(Dr);for(;ur+F<er+pi;){ur+=F;let zi=(ur-er)/pi,ln=Lo.number(Dr.x,li.x,zi),Tn=Lo.number(Dr.y,li.y,zi);if(ln>=0&&ln<Ke&&Tn>=0&&Tn<Ke&&ur-ft>=0&&ur+ft<=Rt){let pa=new gg(ln,Tn,vn,kr);pa._round(),W&&!AS(R,pa,fe,W,te)||vr.push(pa)}}er+=pi}return Re||vr.length||pe||(vr=KC(R,er/2,F,W,te,fe,pe,!0,Ke)),vr}Fi(\"Anchor\",gg);let z1=Md;function JC(R,A,F,W){let te=[],fe=R.image,pe=fe.pixelRatio,Re=fe.paddedRect.w-2*z1,Ke=fe.paddedRect.h-2*z1,ft={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Rt=fe.stretchX||[[0,Re]],er=fe.stretchY||[[0,Ke]],ur=(Wn,Ro)=>Wn+Ro[1]-Ro[0],vr=Rt.reduce(ur,0),kr=er.reduce(ur,0),Dr=Re-vr,li=Ke-kr,pi=0,vn=vr,zi=0,ln=kr,Tn=0,pa=Dr,ro=0,Vo=li;if(fe.content&&W){let Wn=fe.content,Ro=Wn[2]-Wn[0],uo=Wn[3]-Wn[1];(fe.textFitWidth||fe.textFitHeight)&&(ft=DC(R)),pi=mg(Rt,0,Wn[0]),zi=mg(er,0,Wn[1]),vn=mg(Rt,Wn[0],Wn[2]),ln=mg(er,Wn[1],Wn[3]),Tn=Wn[0]-pi,ro=Wn[1]-zi,pa=Ro-vn,Vo=uo-ln}let Xa=ft.x1,la=ft.y1,Mo=ft.x2-Xa,fo=ft.y2-la,lo=(Wn,Ro,uo,$o)=>{let Ju=$w(Wn.stretch-pi,vn,Mo,Xa),Ou=q1(Wn.fixed-Tn,pa,Wn.stretch,vr),kh=$w(Ro.stretch-zi,ln,fo,la),Qv=q1(Ro.fixed-ro,Vo,Ro.stretch,kr),ud=$w(uo.stretch-pi,vn,Mo,Xa),Ch=q1(uo.fixed-Tn,pa,uo.stretch,vr),Gd=$w($o.stretch-zi,ln,fo,la),Hd=q1($o.fixed-ro,Vo,$o.stretch,kr),jd=new u(Ju,kh),Af=new u(ud,kh),Lh=new u(ud,Gd),Ed=new u(Ju,Gd),cd=new u(Ou/pe,Qv/pe),Yh=new u(Ch/pe,Hd/pe),Df=A*Math.PI/180;if(Df){let ru=Math.sin(Df),pc=Math.cos(Df),$u=[pc,-ru,ru,pc];jd._matMult($u),Af._matMult($u),Ed._matMult($u),Lh._matMult($u)}let Fv=Wn.stretch+Wn.fixed,uv=Ro.stretch+Ro.fixed;return{tl:jd,tr:Af,bl:Ed,br:Lh,tex:{x:fe.paddedRect.x+z1+Fv,y:fe.paddedRect.y+z1+uv,w:uo.stretch+uo.fixed-Fv,h:$o.stretch+$o.fixed-uv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:cd,pixelOffsetBR:Yh,minFontScaleX:pa/pe/Mo,minFontScaleY:Vo/pe/fo,isSDF:F}};if(W&&(fe.stretchX||fe.stretchY)){let Wn=$C(Rt,Dr,vr),Ro=$C(er,li,kr);for(let uo=0;uo<Wn.length-1;uo++){let $o=Wn[uo],Ju=Wn[uo+1];for(let 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A=this.data[0],F=this.data.pop();return--this.length>0&&(this.data[0]=F,this._down(0)),A}peek(){return this.data[0]}_up(A){let{data:F,compare:W}=this,te=F[A];for(;A>0;){let fe=A-1>>1,pe=F[fe];if(W(te,pe)>=0)break;F[A]=pe,A=fe}F[A]=te}_down(A){let{data:F,compare:W}=this,te=this.length>>1,fe=F[A];for(;A<te;){let pe=1+(A<<1),Re=pe+1;if(Re<this.length&&W(F[Re],F[pe])<0&&(pe=Re),W(F[pe],fe)>=0)break;F[A]=F[pe],A=pe}F[A]=fe}}function uq(R,A=1,F=!1){let W=1/0,te=1/0,fe=-1/0,pe=-1/0,Re=R[0];for(let vr=0;vr<Re.length;vr++){let kr=Re[vr];(!vr||kr.x<W)&&(W=kr.x),(!vr||kr.y<te)&&(te=kr.y),(!vr||kr.x>fe)&&(fe=kr.x),(!vr||kr.y>pe)&&(pe=kr.y)}let Ke=Math.min(fe-W,pe-te),ft=Ke/2,Rt=new Vp([],cq);if(Ke===0)return new u(W,te);for(let vr=W;vr<fe;vr+=Ke)for(let kr=te;kr<pe;kr+=Ke)Rt.push(new O1(vr+ft,kr+ft,ft,R));let er=(function(vr){let kr=0,Dr=0,li=0,pi=vr[0];for(let vn=0,zi=pi.length,ln=zi-1;vn<zi;ln=vn++){let Tn=pi[vn],pa=pi[ln],ro=Tn.x*pa.y-pa.x*Tn.y;Dr+=(Tn.x+pa.x)*ro,li+=(Tn.y+pa.y)*ro,kr+=3*ro}return new O1(Dr/kr,li/kr,0,vr)})(R),ur=Rt.length;for(;Rt.length;){let vr=Rt.pop();(vr.d>er.d||!er.d)&&(er=vr,F&&console.log(\"found best %d after %d probes\",Math.round(1e4*vr.d)/1e4,ur)),vr.max-er.d<=A||(ft=vr.h/2,Rt.push(new O1(vr.p.x-ft,vr.p.y-ft,ft,R)),Rt.push(new O1(vr.p.x+ft,vr.p.y-ft,ft,R)),Rt.push(new O1(vr.p.x-ft,vr.p.y+ft,ft,R)),Rt.push(new O1(vr.p.x+ft,vr.p.y+ft,ft,R)),ur+=4)}return F&&(console.log(`num probes: ${ur}`),console.log(`best distance: ${er.d}`)),er.p}function cq(R,A){return A.max-R.max}function O1(R,A,F,W){this.p=new u(R,A),this.h=F,this.d=(function(te,fe){let pe=!1,Re=1/0;for(let Ke=0;Ke<fe.length;Ke++){let ft=fe[Ke];for(let Rt=0,er=ft.length,ur=er-1;Rt<er;ur=Rt++){let vr=ft[Rt],kr=ft[ur];vr.y>te.y!=kr.y>te.y&&te.x<(kr.x-vr.x)*(te.y-vr.y)/(kr.y-vr.y)+vr.x&&(pe=!pe),Re=Math.min(Re,Nr(te,vr,kr))}}return(pe?1:-1)*Math.sqrt(Re)})(this.p,W),this.max=this.d+this.h*Math.SQRT2}var ld;i.aq=void 0,(ld=i.aq||(i.aq={}))[ld.center=1]=\"center\",ld[ld.left=2]=\"left\",ld[ld.right=3]=\"right\",ld[ld.top=4]=\"top\",ld[ld.bottom=5]=\"bottom\",ld[ld[\"top-left\"]=6]=\"top-left\",ld[ld[\"top-right\"]=7]=\"top-right\",ld[ld[\"bottom-left\"]=8]=\"bottom-left\",ld[ld[\"bottom-right\"]=9]=\"bottom-right\";let vm=7,xy=Number.POSITIVE_INFINITY;function SS(R,A){return A[1]!==xy?(function(F,W,te){let fe=0,pe=0;switch(W=Math.abs(W),te=Math.abs(te),F){case\"top-right\":case\"top-left\":case\"top\":pe=te-vm;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":pe=-te+vm}switch(F){case\"top-right\":case\"bottom-right\":case\"right\":fe=-W;break;case\"top-left\":case\"bottom-left\":case\"left\":fe=W}return[fe,pe]})(R,A[0],A[1]):(function(F,W){let te=0,fe=0;W<0&&(W=0);let pe=W/Math.SQRT2;switch(F){case\"top-right\":case\"top-left\":fe=pe-vm;break;case\"bottom-right\":case\"bottom-left\":fe=-pe+vm;break;case\"bottom\":fe=-W+vm;break;case\"top\":fe=W-vm}switch(F){case\"top-right\":case\"bottom-right\":te=-pe;break;case\"top-left\":case\"bottom-left\":te=pe;break;case\"left\":te=W;break;case\"right\":te=-W}return[te,fe]})(R,A[0])}function QC(R,A,F){var W;let te=R.layout,fe=(W=te.get(\"text-variable-anchor-offset\"))===null||W===void 0?void 0:W.evaluate(A,{},F);if(fe){let Re=fe.values,Ke=[];for(let ft=0;ft<Re.length;ft+=2){let Rt=Ke[ft]=Re[ft],er=Re[ft+1].map((ur=>ur*tu));Rt.startsWith(\"top\")?er[1]-=vm:Rt.startsWith(\"bottom\")&&(er[1]+=vm),Ke[ft+1]=er}return new Hi(Ke)}let pe=te.get(\"text-variable-anchor\");if(pe){let Re;Re=R._unevaluatedLayout.getValue(\"text-radial-offset\")!==void 0?[te.get(\"text-radial-offset\").evaluate(A,{},F)*tu,xy]:te.get(\"text-offset\").evaluate(A,{},F).map((ft=>ft*tu));let Ke=[];for(let ft of pe)Ke.push(ft,SS(ft,Re));return new Hi(Ke)}return null}function MS(R){switch(R){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function fq(R,A,F,W,te,fe,pe,Re,Ke,ft,Rt){let er=fe.textMaxSize.evaluate(A,{});er===void 0&&(er=pe);let ur=R.layers[0].layout,vr=ur.get(\"icon-offset\").evaluate(A,{},Rt),kr=t6(F.horizontal),Dr=pe/24,li=R.tilePixelRatio*Dr,pi=R.tilePixelRatio*er/24,vn=R.tilePixelRatio*Re,zi=R.tilePixelRatio*ur.get(\"symbol-spacing\"),ln=ur.get(\"text-padding\")*R.tilePixelRatio,Tn=(function(Wn,Ro,uo,$o=1){let Ju=Wn.get(\"icon-padding\").evaluate(Ro,{},uo),Ou=Ju&&Ju.values;return[Ou[0]*$o,Ou[1]*$o,Ou[2]*$o,Ou[3]*$o]})(ur,A,Rt,R.tilePixelRatio),pa=ur.get(\"text-max-angle\")/180*Math.PI,ro=ur.get(\"text-rotation-alignment\")!==\"viewport\"&&ur.get(\"symbol-placement\")!==\"point\",Vo=ur.get(\"icon-rotation-alignment\")===\"map\"&&ur.get(\"symbol-placement\")!==\"point\",Xa=ur.get(\"symbol-placement\"),la=zi/2,Mo=ur.get(\"icon-text-fit\"),fo;W&&Mo!==\"none\"&&(R.allowVerticalPlacement&&F.vertical&&(fo=FC(W,F.vertical,Mo,ur.get(\"icon-text-fit-padding\"),vr,Dr)),kr&&(W=FC(W,kr,Mo,ur.get(\"icon-text-fit-padding\"),vr,Dr)));let lo=(Wn,Ro)=>{Ro.x<0||Ro.x>=ja||Ro.y<0||Ro.y>=ja||(function(uo,$o,Ju,Ou,kh,Qv,ud,Ch,Gd,Hd,jd,Af,Lh,Ed,cd,Yh,Df,Fv,uv,ru,pc,$u,zv,hf,B1){let p0=uo.addToLineVertexArray($o,Ju),Gp,ep,Gc,Yf,tp=0,yg=0,cv=0,N1=0,PS=-1,r3=-1,g0={},by=xi(\"\");if(uo.allowVerticalPlacement&&Ou.vertical){let kd=Ch.layout.get(\"text-rotate\").evaluate(pc,{},hf)+90;Gc=new 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this._layers[et];this.familiesBySource={};let We=i.bk(Object.values(this._layerConfigs),this.keyCache);for(let et of We){let xt=et.map((Ir=>this._layers[Ir.id])),At=xt[0];if(At.visibility===\"none\")continue;let Kt=At.source||\"\",Qt=this.familiesBySource[Kt];Qt||(Qt=this.familiesBySource[Kt]={});let Mr=At.sourceLayer||\"_geojsonTileLayer\",Gr=Qt[Mr];Gr||(Gr=Qt[Mr]=[]),Gr.push(xt)}}}class o{constructor(Ge){let Je={},We=[];for(let Kt in Ge){let Qt=Ge[Kt],Mr=Je[Kt]={};for(let Gr in Qt){let Ir=Qt[+Gr];if(!Ir||Ir.bitmap.width===0||Ir.bitmap.height===0)continue;let Yr={x:0,y:0,w:Ir.bitmap.width+2,h:Ir.bitmap.height+2};We.push(Yr),Mr[Gr]={rect:Yr,metrics:Ir.metrics}}}let{w:et,h:xt}=i.p(We),At=new i.o({width:et||1,height:xt||1});for(let Kt in Ge){let Qt=Ge[Kt];for(let Mr in Qt){let Gr=Qt[+Mr];if(!Gr||Gr.bitmap.width===0||Gr.bitmap.height===0)continue;let Ir=Je[Kt][Mr].rect;i.o.copy(Gr.bitmap,At,{x:0,y:0},{x:Ir.x+1,y:Ir.y+1},Gr.bitmap)}}this.image=At,this.positions=Je}}i.bl(\"GlyphAtlas\",o);class s{constructor(Ge){this.tileID=new i.S(Ge.tileID.overscaledZ,Ge.tileID.wrap,Ge.tileID.canonical.z,Ge.tileID.canonical.x,Ge.tileID.canonical.y),this.uid=Ge.uid,this.zoom=Ge.zoom,this.pixelRatio=Ge.pixelRatio,this.tileSize=Ge.tileSize,this.source=Ge.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=Ge.showCollisionBoxes,this.collectResourceTiming=!!Ge.collectResourceTiming,this.returnDependencies=!!Ge.returnDependencies,this.promoteId=Ge.promoteId,this.inFlightDependencies=[]}parse(Ge,Je,We,et){return i._(this,void 0,void 0,(function*(){this.status=\"parsing\",this.data=Ge,this.collisionBoxArray=new i.a5;let xt=new i.bm(Object.keys(Ge.layers).sort()),At=new i.bn(this.tileID,this.promoteId);At.bucketLayerIDs=[];let Kt={},Qt={featureIndex:At,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:We},Mr=Je.familiesBySource[this.source];for(let Qn in Mr){let Vi=Ge.layers[Qn];if(!Vi)continue;Vi.version===1&&i.w(`Vector tile source \"${this.source}\" layer \"${Qn}\" does not use vector tile spec v2 and therefore may have some rendering errors.`);let Jn=xt.encode(Qn),Yn=[];for(let Gt=0;Gt<Vi.length;Gt++){let wt=Vi.feature(Gt),tr=At.getId(wt,Qn);Yn.push({feature:wt,id:tr,index:Gt,sourceLayerIndex:Jn})}for(let Gt of Mr[Qn]){let wt=Gt[0];wt.source!==this.source&&i.w(`layer.source = ${wt.source} does not equal this.source = ${this.source}`),wt.minzoom&&this.zoom<Math.floor(wt.minzoom)||wt.maxzoom&&this.zoom>=wt.maxzoom||wt.visibility!==\"none\"&&(l(Gt,this.zoom,We),(Kt[wt.id]=wt.createBucket({index:At.bucketLayerIDs.length,layers:Gt,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:Jn,sourceID:this.source})).populate(Yn,Qt,this.tileID.canonical),At.bucketLayerIDs.push(Gt.map((tr=>tr.id))))}}let Gr=i.aF(Qt.glyphDependencies,(Qn=>Object.keys(Qn).map(Number)));this.inFlightDependencies.forEach((Qn=>Qn==null?void 0:Qn.abort())),this.inFlightDependencies=[];let Ir=Promise.resolve({});if(Object.keys(Gr).length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),Ir=et.sendAsync({type:\"GG\",data:{stacks:Gr,source:this.source,tileID:this.tileID,type:\"glyphs\"}},Qn)}let Yr=Object.keys(Qt.iconDependencies),_i=Promise.resolve({});if(Yr.length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),_i=et.sendAsync({type:\"GI\",data:{icons:Yr,source:this.source,tileID:this.tileID,type:\"icons\"}},Qn)}let Pi=Object.keys(Qt.patternDependencies),ai=Promise.resolve({});if(Pi.length){let Qn=new AbortController;this.inFlightDependencies.push(Qn),ai=et.sendAsync({type:\"GI\",data:{icons:Pi,source:this.source,tileID:this.tileID,type:\"patterns\"}},Qn)}let[mi,un,Fn]=yield Promise.all([Ir,_i,ai]),An=new o(mi),Hn=new i.bo(un,Fn);for(let Qn in Kt){let Vi=Kt[Qn];Vi instanceof i.a6?(l(Vi.layers,this.zoom,We),i.bp({bucket:Vi,glyphMap:mi,glyphPositions:An.positions,imageMap:un,imagePositions:Hn.iconPositions,showCollisionBoxes:this.showCollisionBoxes,canonical:this.tileID.canonical})):Vi.hasPattern&&(Vi instanceof i.bq||Vi instanceof i.br||Vi instanceof i.bs)&&(l(Vi.layers,this.zoom,We),Vi.addFeatures(Qt,this.tileID.canonical,Hn.patternPositions))}return this.status=\"done\",{buckets:Object.values(Kt).filter((Qn=>!Qn.isEmpty())),featureIndex:At,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:An.image,imageAtlas:Hn,glyphMap:this.returnDependencies?mi:null,iconMap:this.returnDependencies?un:null,glyphPositions:this.returnDependencies?An.positions:null}}))}}function l(gt,Ge,Je){let We=new i.z(Ge);for(let et of gt)et.recalculate(We,Je)}class u{constructor(Ge,Je,We){this.actor=Ge,this.layerIndex=Je,this.availableImages=We,this.fetching={},this.loading={},this.loaded={}}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=yield i.l(Ge.request,Je);try{return{vectorTile:new i.bt.VectorTile(new i.bu(We.data)),rawData:We.data,cacheControl:We.cacheControl,expires:We.expires}}catch(et){let xt=new Uint8Array(We.data),At=`Unable to parse the tile at ${Ge.request.url}, `;throw At+=xt[0]===31&&xt[1]===139?\"please make sure the data is not gzipped and that you have configured the relevant header in the server\":`got error: ${et.message}`,new Error(At)}}))}loadTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=Ge.uid,We=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request),et=new s(Ge);this.loading[Je]=et;let xt=new AbortController;et.abort=xt;try{let At=yield this.loadVectorTile(Ge,xt);if(delete this.loading[Je],!At)return null;let Kt=At.rawData,Qt={};At.expires&&(Qt.expires=At.expires),At.cacheControl&&(Qt.cacheControl=At.cacheControl);let Mr={};if(We){let Ir=We.finish();Ir&&(Mr.resourceTiming=JSON.parse(JSON.stringify(Ir)))}et.vectorTile=At.vectorTile;let Gr=et.parse(At.vectorTile,this.layerIndex,this.availableImages,this.actor);this.loaded[Je]=et,this.fetching[Je]={rawTileData:Kt,cacheControl:Qt,resourceTiming:Mr};try{let Ir=yield Gr;return i.e({rawTileData:Kt.slice(0)},Ir,Qt,Mr)}finally{delete this.fetching[Je]}}catch(At){throw delete this.loading[Je],et.status=\"done\",this.loaded[Je]=et,At}}))}reloadTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=Ge.uid;if(!this.loaded||!this.loaded[Je])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let We=this.loaded[Je];if(We.showCollisionBoxes=Ge.showCollisionBoxes,We.status===\"parsing\"){let et=yield We.parse(We.vectorTile,this.layerIndex,this.availableImages,this.actor),xt;if(this.fetching[Je]){let{rawTileData:At,cacheControl:Kt,resourceTiming:Qt}=this.fetching[Je];delete this.fetching[Je],xt=i.e({rawTileData:At.slice(0)},et,Kt,Qt)}else xt=et;return xt}if(We.status===\"done\"&&We.vectorTile)return We.parse(We.vectorTile,this.layerIndex,this.availableImages,this.actor)}))}abortTile(Ge){return i._(this,void 0,void 0,(function*(){let Je=this.loading,We=Ge.uid;Je&&Je[We]&&Je[We].abort&&(Je[We].abort.abort(),delete Je[We])}))}removeTile(Ge){return i._(this,void 0,void 0,(function*(){this.loaded&&this.loaded[Ge.uid]&&delete this.loaded[Ge.uid]}))}}class c{constructor(){this.loaded={}}loadTile(Ge){return i._(this,void 0,void 0,(function*(){let{uid:Je,encoding:We,rawImageData:et,redFactor:xt,greenFactor:At,blueFactor:Kt,baseShift:Qt}=Ge,Mr=et.width+2,Gr=et.height+2,Ir=i.b(et)?new i.R({width:Mr,height:Gr},yield i.bw(et,-1,-1,Mr,Gr)):et,Yr=new i.bx(Je,Ir,We,xt,At,Kt,Qt);return this.loaded=this.loaded||{},this.loaded[Je]=Yr,Yr}))}removeTile(Ge){let Je=this.loaded,We=Ge.uid;Je&&Je[We]&&delete Je[We]}}function f(gt,Ge){if(gt.length!==0){h(gt[0],Ge);for(var Je=1;Je<gt.length;Je++)h(gt[Je],!Ge)}}function h(gt,Ge){for(var Je=0,We=0,et=0,xt=gt.length,At=xt-1;et<xt;At=et++){var Kt=(gt[et][0]-gt[At][0])*(gt[At][1]+gt[et][1]),Qt=Je+Kt;We+=Math.abs(Je)>=Math.abs(Kt)?Je-Qt+Kt:Kt-Qt+Je,Je=Qt}Je+We>=0!=!!Ge&&gt.reverse()}var d=i.by((function gt(Ge,Je){var We,et=Ge&&Ge.type;if(et===\"FeatureCollection\")for(We=0;We<Ge.features.length;We++)gt(Ge.features[We],Je);else if(et===\"GeometryCollection\")for(We=0;We<Ge.geometries.length;We++)gt(Ge.geometries[We],Je);else if(et===\"Feature\")gt(Ge.geometry,Je);else if(et===\"Polygon\")f(Ge.coordinates,Je);else if(et===\"MultiPolygon\")for(We=0;We<Ge.coordinates.length;We++)f(Ge.coordinates[We],Je);return Ge}));let v=i.bt.VectorTileFeature.prototype.toGeoJSON;var m={exports:{}},b=i.bz,p=i.bt.VectorTileFeature,k=M;function M(gt,Ge){this.options=Ge||{},this.features=gt,this.length=gt.length}function T(gt,Ge){this.id=typeof gt.id==\"number\"?gt.id:void 0,this.type=gt.type,this.rawGeometry=gt.type===1?[gt.geometry]:gt.geometry,this.properties=gt.tags,this.extent=Ge||4096}M.prototype.feature=function(gt){return new T(this.features[gt],this.options.extent)},T.prototype.loadGeometry=function(){var gt=this.rawGeometry;this.geometry=[];for(var Ge=0;Ge<gt.length;Ge++){for(var Je=gt[Ge],We=[],et=0;et<Je.length;et++)We.push(new b(Je[et][0],Je[et][1]));this.geometry.push(We)}return this.geometry},T.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var gt=this.geometry,Ge=1/0,Je=-1/0,We=1/0,et=-1/0,xt=0;xt<gt.length;xt++)for(var At=gt[xt],Kt=0;Kt<At.length;Kt++){var Qt=At[Kt];Ge=Math.min(Ge,Qt.x),Je=Math.max(Je,Qt.x),We=Math.min(We,Qt.y),et=Math.max(et,Qt.y)}return[Ge,We,Je,et]},T.prototype.toGeoJSON=p.prototype.toGeoJSON;var L=i.bA,x=k;function C(gt){var Ge=new L;return(function(Je,We){for(var et in Je.layers)We.writeMessage(3,S,Je.layers[et])})(gt,Ge),Ge.finish()}function S(gt,Ge){var Je;Ge.writeVarintField(15,gt.version||1),Ge.writeStringField(1,gt.name||\"\"),Ge.writeVarintField(5,gt.extent||4096);var We={keys:[],values:[],keycache:{},valuecache:{}};for(Je=0;Je<gt.length;Je++)We.feature=gt.feature(Je),Ge.writeMessage(2,g,We);var et=We.keys;for(Je=0;Je<et.length;Je++)Ge.writeStringField(3,et[Je]);var xt=We.values;for(Je=0;Je<xt.length;Je++)Ge.writeMessage(4,V,xt[Je])}function g(gt,Ge){var Je=gt.feature;Je.id!==void 0&&Ge.writeVarintField(1,Je.id),Ge.writeMessage(2,P,gt),Ge.writeVarintField(3,Je.type),Ge.writeMessage(4,q,Je)}function P(gt,Ge){var Je=gt.feature,We=gt.keys,et=gt.values,xt=gt.keycache,At=gt.valuecache;for(var Kt in Je.properties){var Qt=Je.properties[Kt],Mr=xt[Kt];if(Qt!==null){Mr===void 0&&(We.push(Kt),xt[Kt]=Mr=We.length-1),Ge.writeVarint(Mr);var Gr=typeof Qt;Gr!==\"string\"&&Gr!==\"boolean\"&&Gr!==\"number\"&&(Qt=JSON.stringify(Qt));var Ir=Gr+\":\"+Qt,Yr=At[Ir];Yr===void 0&&(et.push(Qt),At[Ir]=Yr=et.length-1),Ge.writeVarint(Yr)}}}function E(gt,Ge){return(Ge<<3)+(7&gt)}function z(gt){return gt<<1^gt>>31}function q(gt,Ge){for(var Je=gt.loadGeometry(),We=gt.type,et=0,xt=0,At=Je.length,Kt=0;Kt<At;Kt++){var Qt=Je[Kt],Mr=1;We===1&&(Mr=Qt.length),Ge.writeVarint(E(1,Mr));for(var Gr=We===3?Qt.length-1:Qt.length,Ir=0;Ir<Gr;Ir++){Ir===1&&We!==1&&Ge.writeVarint(E(2,Gr-1));var Yr=Qt[Ir].x-et,_i=Qt[Ir].y-xt;Ge.writeVarint(z(Yr)),Ge.writeVarint(z(_i)),et+=Yr,xt+=_i}We===3&&Ge.writeVarint(E(7,1))}}function V(gt,Ge){var Je=typeof gt;Je===\"string\"?Ge.writeStringField(1,gt):Je===\"boolean\"?Ge.writeBooleanField(7,gt):Je===\"number\"&&(gt%1!=0?Ge.writeDoubleField(3,gt):gt<0?Ge.writeSVarintField(6,gt):Ge.writeVarintField(5,gt))}m.exports=C,m.exports.fromVectorTileJs=C,m.exports.fromGeojsonVt=function(gt,Ge){Ge=Ge||{};var Je={};for(var We in gt)Je[We]=new x(gt[We].features,Ge),Je[We].name=We,Je[We].version=Ge.version,Je[We].extent=Ge.extent;return C({layers:Je})},m.exports.GeoJSONWrapper=x;var G=i.by(m.exports);let Z={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:gt=>gt},j=Math.fround||(N=new Float32Array(1),gt=>(N[0]=+gt,N[0]));var N;let H=3,re=5,ae=6;class _e{constructor(Ge){this.options=Object.assign(Object.create(Z),Ge),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ge){let{log:Je,minZoom:We,maxZoom:et}=this.options;Je&&console.time(\"total time\");let xt=`prepare ${Ge.length} points`;Je&&console.time(xt),this.points=Ge;let At=[];for(let Qt=0;Qt<Ge.length;Qt++){let Mr=Ge[Qt];if(!Mr.geometry)continue;let[Gr,Ir]=Mr.geometry.coordinates,Yr=j(ge(Gr)),_i=j(ie(Ir));At.push(Yr,_i,1/0,Qt,-1,1),this.options.reduce&&At.push(0)}let Kt=this.trees[et+1]=this._createTree(At);Je&&console.timeEnd(xt);for(let Qt=et;Qt>=We;Qt--){let Mr=+Date.now();Kt=this.trees[Qt]=this._createTree(this._cluster(Kt,Qt)),Je&&console.log(\"z%d: %d clusters in %dms\",Qt,Kt.numItems,+Date.now()-Mr)}return Je&&console.timeEnd(\"total time\"),this}getClusters(Ge,Je){let We=((Ge[0]+180)%360+360)%360-180,et=Math.max(-90,Math.min(90,Ge[1])),xt=Ge[2]===180?180:((Ge[2]+180)%360+360)%360-180,At=Math.max(-90,Math.min(90,Ge[3]));if(Ge[2]-Ge[0]>=360)We=-180,xt=180;else if(We>xt){let Ir=this.getClusters([We,et,180,At],Je),Yr=this.getClusters([-180,et,xt,At],Je);return Ir.concat(Yr)}let Kt=this.trees[this._limitZoom(Je)],Qt=Kt.range(ge(We),ie(At),ge(xt),ie(et)),Mr=Kt.data,Gr=[];for(let Ir of Qt){let Yr=this.stride*Ir;Gr.push(Mr[Yr+re]>1?Ee(Mr,Yr,this.clusterProps):this.points[Mr[Yr+H]])}return Gr}getChildren(Ge){let Je=this._getOriginId(Ge),We=this._getOriginZoom(Ge),et=\"No cluster with the specified id.\",xt=this.trees[We];if(!xt)throw new Error(et);let At=xt.data;if(Je*this.stride>=At.length)throw new Error(et);let Kt=this.options.radius/(this.options.extent*Math.pow(2,We-1)),Qt=xt.within(At[Je*this.stride],At[Je*this.stride+1],Kt),Mr=[];for(let Gr of Qt){let Ir=Gr*this.stride;At[Ir+4]===Ge&&Mr.push(At[Ir+re]>1?Ee(At,Ir,this.clusterProps):this.points[At[Ir+H]])}if(Mr.length===0)throw new Error(et);return Mr}getLeaves(Ge,Je,We){let et=[];return this._appendLeaves(et,Ge,Je=Je||10,We=We||0,0),et}getTile(Ge,Je,We){let et=this.trees[this._limitZoom(Ge)],xt=Math.pow(2,Ge),{extent:At,radius:Kt}=this.options,Qt=Kt/At,Mr=(We-Qt)/xt,Gr=(We+1+Qt)/xt,Ir={features:[]};return this._addTileFeatures(et.range((Je-Qt)/xt,Mr,(Je+1+Qt)/xt,Gr),et.data,Je,We,xt,Ir),Je===0&&this._addTileFeatures(et.range(1-Qt/xt,Mr,1,Gr),et.data,xt,We,xt,Ir),Je===xt-1&&this._addTileFeatures(et.range(0,Mr,Qt/xt,Gr),et.data,-1,We,xt,Ir),Ir.features.length?Ir:null}getClusterExpansionZoom(Ge){let Je=this._getOriginZoom(Ge)-1;for(;Je<=this.options.maxZoom;){let We=this.getChildren(Ge);if(Je++,We.length!==1)break;Ge=We[0].properties.cluster_id}return Je}_appendLeaves(Ge,Je,We,et,xt){let At=this.getChildren(Je);for(let Kt of At){let Qt=Kt.properties;if(Qt&&Qt.cluster?xt+Qt.point_count<=et?xt+=Qt.point_count:xt=this._appendLeaves(Ge,Qt.cluster_id,We,et,xt):xt<et?xt++:Ge.push(Kt),Ge.length===We)break}return xt}_createTree(Ge){let Je=new i.av(Ge.length/this.stride|0,this.options.nodeSize,Float32Array);for(let We=0;We<Ge.length;We+=this.stride)Je.add(Ge[We],Ge[We+1]);return Je.finish(),Je.data=Ge,Je}_addTileFeatures(Ge,Je,We,et,xt,At){for(let Kt of Ge){let Qt=Kt*this.stride,Mr=Je[Qt+re]>1,Gr,Ir,Yr;if(Mr)Gr=Ce(Je,Qt,this.clusterProps),Ir=Je[Qt],Yr=Je[Qt+1];else{let ai=this.points[Je[Qt+H]];Gr=ai.properties;let[mi,un]=ai.geometry.coordinates;Ir=ge(mi),Yr=ie(un)}let _i={type:1,geometry:[[Math.round(this.options.extent*(Ir*xt-We)),Math.round(this.options.extent*(Yr*xt-et))]],tags:Gr},Pi;Pi=Mr||this.options.generateId?Je[Qt+H]:this.points[Je[Qt+H]].id,Pi!==void 0&&(_i.id=Pi),At.features.push(_i)}}_limitZoom(Ge){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ge),this.options.maxZoom+1))}_cluster(Ge,Je){let{radius:We,extent:et,reduce:xt,minPoints:At}=this.options,Kt=We/(et*Math.pow(2,Je)),Qt=Ge.data,Mr=[],Gr=this.stride;for(let Ir=0;Ir<Qt.length;Ir+=Gr){if(Qt[Ir+2]<=Je)continue;Qt[Ir+2]=Je;let Yr=Qt[Ir],_i=Qt[Ir+1],Pi=Ge.within(Qt[Ir],Qt[Ir+1],Kt),ai=Qt[Ir+re],mi=ai;for(let un of Pi){let Fn=un*Gr;Qt[Fn+2]>Je&&(mi+=Qt[Fn+re])}if(mi>ai&&mi>=At){let un,Fn=Yr*ai,An=_i*ai,Hn=-1,Qn=((Ir/Gr|0)<<5)+(Je+1)+this.points.length;for(let Vi of Pi){let Jn=Vi*Gr;if(Qt[Jn+2]<=Je)continue;Qt[Jn+2]=Je;let Yn=Qt[Jn+re];Fn+=Qt[Jn]*Yn,An+=Qt[Jn+1]*Yn,Qt[Jn+4]=Qn,xt&&(un||(un=this._map(Qt,Ir,!0),Hn=this.clusterProps.length,this.clusterProps.push(un)),xt(un,this._map(Qt,Jn)))}Qt[Ir+4]=Qn,Mr.push(Fn/mi,An/mi,1/0,Qn,-1,mi),xt&&Mr.push(Hn)}else{for(let un=0;un<Gr;un++)Mr.push(Qt[Ir+un]);if(mi>1)for(let un of Pi){let Fn=un*Gr;if(!(Qt[Fn+2]<=Je)){Qt[Fn+2]=Je;for(let An=0;An<Gr;An++)Mr.push(Qt[Fn+An])}}}}return Mr}_getOriginId(Ge){return Ge-this.points.length>>5}_getOriginZoom(Ge){return(Ge-this.points.length)%32}_map(Ge,Je,We){if(Ge[Je+re]>1){let At=this.clusterProps[Ge[Je+ae]];return We?Object.assign({},At):At}let et=this.points[Ge[Je+H]].properties,xt=this.options.map(et);return We&&xt===et?Object.assign({},xt):xt}}function Ee(gt,Ge,Je){return{type:\"Feature\",id:gt[Ge+H],properties:Ce(gt,Ge,Je),geometry:{type:\"Point\",coordinates:[(We=gt[Ge],360*(We-.5)),Se(gt[Ge+1])]}};var We}function Ce(gt,Ge,Je){let We=gt[Ge+re],et=We>=1e4?`${Math.round(We/1e3)}k`:We>=1e3?Math.round(We/100)/10+\"k\":We,xt=gt[Ge+ae],At=xt===-1?{}:Object.assign({},Je[xt]);return Object.assign(At,{cluster:!0,cluster_id:gt[Ge+H],point_count:We,point_count_abbreviated:et})}function ge(gt){return gt/360+.5}function ie(gt){let Ge=Math.sin(gt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Se(gt){let Ge=(180-360*gt)*Math.PI/180;return 360*Math.atan(Math.exp(Ge))/Math.PI-90}function ke(gt,Ge,Je,We){let et=We,xt=Ge+(Je-Ge>>1),At,Kt=Je-Ge,Qt=gt[Ge],Mr=gt[Ge+1],Gr=gt[Je],Ir=gt[Je+1];for(let Yr=Ge+3;Yr<Je;Yr+=3){let _i=be(gt[Yr],gt[Yr+1],Qt,Mr,Gr,Ir);if(_i>et)At=Yr,et=_i;else if(_i===et){let Pi=Math.abs(Yr-xt);Pi<Kt&&(At=Yr,Kt=Pi)}}et>We&&(At-Ge>3&&ke(gt,Ge,At,We),gt[At+2]=et,Je-At>3&&ke(gt,At,Je,We))}function be(gt,Ge,Je,We,et,xt){let At=et-Je,Kt=xt-We;if(At!==0||Kt!==0){let Qt=((gt-Je)*At+(Ge-We)*Kt)/(At*At+Kt*Kt);Qt>1?(Je=et,We=xt):Qt>0&&(Je+=At*Qt,We+=Kt*Qt)}return At=gt-Je,Kt=Ge-We,At*At+Kt*Kt}function Be(gt,Ge,Je,We){let et={id:gt==null?null:gt,type:Ge,geometry:Je,tags:We,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ge===\"Point\"||Ge===\"MultiPoint\"||Ge===\"LineString\")Le(et,Je);else if(Ge===\"Polygon\")Le(et,Je[0]);else if(Ge===\"MultiLineString\")for(let xt of Je)Le(et,xt);else if(Ge===\"MultiPolygon\")for(let xt of Je)Le(et,xt[0]);return et}function Le(gt,Ge){for(let Je=0;Je<Ge.length;Je+=3)gt.minX=Math.min(gt.minX,Ge[Je]),gt.minY=Math.min(gt.minY,Ge[Je+1]),gt.maxX=Math.max(gt.maxX,Ge[Je]),gt.maxY=Math.max(gt.maxY,Ge[Je+1])}function me(gt,Ge,Je,We){if(!Ge.geometry)return;let et=Ge.geometry.coordinates;if(et&&et.length===0)return;let xt=Ge.geometry.type,At=Math.pow(Je.tolerance/((1<<Je.maxZoom)*Je.extent),2),Kt=[],Qt=Ge.id;if(Je.promoteId?Qt=Ge.properties[Je.promoteId]:Je.generateId&&(Qt=We||0),xt===\"Point\")Pe(et,Kt);else if(xt===\"MultiPoint\")for(let Mr of et)Pe(Mr,Kt);else if(xt===\"LineString\")ce(et,Kt,At,!1);else if(xt===\"MultiLineString\"){if(Je.lineMetrics){for(let Mr of et)Kt=[],ce(Mr,Kt,At,!1),gt.push(Be(Qt,\"LineString\",Kt,Ge.properties));return}He(et,Kt,At,!1)}else if(xt===\"Polygon\")He(et,Kt,At,!0);else{if(xt!==\"MultiPolygon\"){if(xt===\"GeometryCollection\"){for(let Mr of Ge.geometry.geometries)me(gt,{id:Qt,geometry:Mr,properties:Ge.properties},Je,We);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(let Mr of et){let Gr=[];He(Mr,Gr,At,!0),Kt.push(Gr)}}gt.push(Be(Qt,xt,Kt,Ge.properties))}function Pe(gt,Ge){Ge.push(lt(gt[0]),mt(gt[1]),0)}function ce(gt,Ge,Je,We){let et,xt,At=0;for(let Qt=0;Qt<gt.length;Qt++){let Mr=lt(gt[Qt][0]),Gr=mt(gt[Qt][1]);Ge.push(Mr,Gr,0),Qt>0&&(At+=We?(et*Gr-Mr*xt)/2:Math.sqrt(Math.pow(Mr-et,2)+Math.pow(Gr-xt,2))),et=Mr,xt=Gr}let Kt=Ge.length-3;Ge[2]=1,ke(Ge,0,Kt,Je),Ge[Kt+2]=1,Ge.size=Math.abs(At),Ge.start=0,Ge.end=Ge.size}function He(gt,Ge,Je,We){for(let et=0;et<gt.length;et++){let xt=[];ce(gt[et],xt,Je,We),Ge.push(xt)}}function lt(gt){return gt/360+.5}function mt(gt){let Ge=Math.sin(gt*Math.PI/180),Je=.5-.25*Math.log((1+Ge)/(1-Ge))/Math.PI;return Je<0?0:Je>1?1:Je}function Ht(gt,Ge,Je,We,et,xt,At,Kt){if(We/=Ge,xt>=(Je/=Ge)&&At<We)return gt;if(At<Je||xt>=We)return null;let Qt=[];for(let Mr of gt){let Gr=Mr.geometry,Ir=Mr.type,Yr=et===0?Mr.minX:Mr.minY,_i=et===0?Mr.maxX:Mr.maxY;if(Yr>=Je&&_i<We){Qt.push(Mr);continue}if(_i<Je||Yr>=We)continue;let Pi=[];if(Ir===\"Point\"||Ir===\"MultiPoint\")at(Gr,Pi,Je,We,et);else if(Ir===\"LineString\")ct(Gr,Pi,Je,We,et,!1,Kt.lineMetrics);else if(Ir===\"MultiLineString\")Vt(Gr,Pi,Je,We,et,!1);else if(Ir===\"Polygon\")Vt(Gr,Pi,Je,We,et,!0);else if(Ir===\"MultiPolygon\")for(let ai of Gr){let mi=[];Vt(ai,mi,Je,We,et,!0),mi.length&&Pi.push(mi)}if(Pi.length){if(Kt.lineMetrics&&Ir===\"LineString\"){for(let ai of Pi)Qt.push(Be(Mr.id,Ir,ai,Mr.tags));continue}Ir!==\"LineString\"&&Ir!==\"MultiLineString\"||(Pi.length===1?(Ir=\"LineString\",Pi=Pi[0]):Ir=\"MultiLineString\"),Ir!==\"Point\"&&Ir!==\"MultiPoint\"||(Ir=Pi.length===3?\"Point\":\"MultiPoint\"),Qt.push(Be(Mr.id,Ir,Pi,Mr.tags))}}return Qt.length?Qt:null}function at(gt,Ge,Je,We,et){for(let xt=0;xt<gt.length;xt+=3){let At=gt[xt+et];At>=Je&&At<=We&&rr(Ge,gt[xt],gt[xt+1],gt[xt+2])}}function ct(gt,Ge,Je,We,et,xt,At){let Kt=ar(gt),Qt=et===0?tt:je,Mr,Gr,Ir=gt.start;for(let mi=0;mi<gt.length-3;mi+=3){let un=gt[mi],Fn=gt[mi+1],An=gt[mi+2],Hn=gt[mi+3],Qn=gt[mi+4],Vi=et===0?un:Fn,Jn=et===0?Hn:Qn,Yn=!1;At&&(Mr=Math.sqrt(Math.pow(un-Hn,2)+Math.pow(Fn-Qn,2))),Vi<Je?Jn>Je&&(Gr=Qt(Kt,un,Fn,Hn,Qn,Je),At&&(Kt.start=Ir+Mr*Gr)):Vi>We?Jn<We&&(Gr=Qt(Kt,un,Fn,Hn,Qn,We),At&&(Kt.start=Ir+Mr*Gr)):rr(Kt,un,Fn,An),Jn<Je&&Vi>=Je&&(Gr=Qt(Kt,un,Fn,Hn,Qn,Je),Yn=!0),Jn>We&&Vi<=We&&(Gr=Qt(Kt,un,Fn,Hn,Qn,We),Yn=!0),!xt&&Yn&&(At&&(Kt.end=Ir+Mr*Gr),Ge.push(Kt),Kt=ar(gt)),At&&(Ir+=Mr)}let Yr=gt.length-3,_i=gt[Yr],Pi=gt[Yr+1],ai=et===0?_i:Pi;ai>=Je&&ai<=We&&rr(Kt,_i,Pi,gt[Yr+2]),Yr=Kt.length-3,xt&&Yr>=3&&(Kt[Yr]!==Kt[0]||Kt[Yr+1]!==Kt[1])&&rr(Kt,Kt[0],Kt[1],Kt[2]),Kt.length&&Ge.push(Kt)}function ar(gt){let Ge=[];return Ge.size=gt.size,Ge.start=gt.start,Ge.end=gt.end,Ge}function Vt(gt,Ge,Je,We,et,xt){for(let At of gt)ct(At,Ge,Je,We,et,xt,!1)}function rr(gt,Ge,Je,We){gt.push(Ge,Je,We)}function tt(gt,Ge,Je,We,et,xt){let At=(xt-Ge)/(We-Ge);return rr(gt,xt,Je+(et-Je)*At,1),At}function je(gt,Ge,Je,We,et,xt){let At=(xt-Je)/(et-Je);return rr(gt,Ge+(We-Ge)*At,xt,1),At}function Ue(gt,Ge){let Je=[];for(let We=0;We<gt.length;We++){let et=gt[We],xt=et.type,At;if(xt===\"Point\"||xt===\"MultiPoint\"||xt===\"LineString\")At=Ae(et.geometry,Ge);else if(xt===\"MultiLineString\"||xt===\"Polygon\"){At=[];for(let Kt of et.geometry)At.push(Ae(Kt,Ge))}else if(xt===\"MultiPolygon\"){At=[];for(let Kt of et.geometry){let Qt=[];for(let Mr of Kt)Qt.push(Ae(Mr,Ge));At.push(Qt)}}Je.push(Be(et.id,xt,At,et.tags))}return Je}function Ae(gt,Ge){let Je=[];Je.size=gt.size,gt.start!==void 0&&(Je.start=gt.start,Je.end=gt.end);for(let We=0;We<gt.length;We+=3)Je.push(gt[We]+Ge,gt[We+1],gt[We+2]);return Je}function rt(gt,Ge){if(gt.transformed)return gt;let Je=1<<gt.z,We=gt.x,et=gt.y;for(let xt of gt.features){let At=xt.geometry,Kt=xt.type;if(xt.geometry=[],Kt===1)for(let Qt=0;Qt<At.length;Qt+=2)xt.geometry.push(St(At[Qt],At[Qt+1],Ge,Je,We,et));else for(let Qt=0;Qt<At.length;Qt++){let Mr=[];for(let Gr=0;Gr<At[Qt].length;Gr+=2)Mr.push(St(At[Qt][Gr],At[Qt][Gr+1],Ge,Je,We,et));xt.geometry.push(Mr)}}return gt.transformed=!0,gt}function St(gt,Ge,Je,We,et,xt){return[Math.round(Je*(gt*We-et)),Math.round(Je*(Ge*We-xt))]}function Tt(gt,Ge,Je,We,et){let xt=Ge===et.maxZoom?0:et.tolerance/((1<<Ge)*et.extent),At={features:[],numPoints:0,numSimplified:0,numFeatures:gt.length,source:null,x:Je,y:We,z:Ge,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(let Kt of gt)dt(At,Kt,xt,et);return At}function dt(gt,Ge,Je,We){let et=Ge.geometry,xt=Ge.type,At=[];if(gt.minX=Math.min(gt.minX,Ge.minX),gt.minY=Math.min(gt.minY,Ge.minY),gt.maxX=Math.max(gt.maxX,Ge.maxX),gt.maxY=Math.max(gt.maxY,Ge.maxY),xt===\"Point\"||xt===\"MultiPoint\")for(let Kt=0;Kt<et.length;Kt+=3)At.push(et[Kt],et[Kt+1]),gt.numPoints++,gt.numSimplified++;else if(xt===\"LineString\")Et(At,et,gt,Je,!1,!1);else if(xt===\"MultiLineString\"||xt===\"Polygon\")for(let Kt=0;Kt<et.length;Kt++)Et(At,et[Kt],gt,Je,xt===\"Polygon\",Kt===0);else if(xt===\"MultiPolygon\")for(let Kt=0;Kt<et.length;Kt++){let Qt=et[Kt];for(let Mr=0;Mr<Qt.length;Mr++)Et(At,Qt[Mr],gt,Je,!0,Mr===0)}if(At.length){let Kt=Ge.tags||null;if(xt===\"LineString\"&&We.lineMetrics){Kt={};for(let Mr in Ge.tags)Kt[Mr]=Ge.tags[Mr];Kt.mapbox_clip_start=et.start/et.size,Kt.mapbox_clip_end=et.end/et.size}let Qt={geometry:At,type:xt===\"Polygon\"||xt===\"MultiPolygon\"?3:xt===\"LineString\"||xt===\"MultiLineString\"?2:1,tags:Kt};Ge.id!==null&&(Qt.id=Ge.id),gt.features.push(Qt)}}function Et(gt,Ge,Je,We,et,xt){let At=We*We;if(We>0&&Ge.size<(et?At:We))return void(Je.numPoints+=Ge.length/3);let Kt=[];for(let Qt=0;Qt<Ge.length;Qt+=3)(We===0||Ge[Qt+2]>At)&&(Je.numSimplified++,Kt.push(Ge[Qt],Ge[Qt+1])),Je.numPoints++;et&&(function(Qt,Mr){let Gr=0;for(let Ir=0,Yr=Qt.length,_i=Yr-2;Ir<Yr;_i=Ir,Ir+=2)Gr+=(Qt[Ir]-Qt[_i])*(Qt[Ir+1]+Qt[_i+1]);if(Gr>0===Mr)for(let Ir=0,Yr=Qt.length;Ir<Yr/2;Ir+=2){let _i=Qt[Ir],Pi=Qt[Ir+1];Qt[Ir]=Qt[Yr-2-Ir],Qt[Ir+1]=Qt[Yr-1-Ir],Qt[Yr-2-Ir]=_i,Qt[Yr-1-Ir]=Pi}})(Kt,xt),gt.push(Kt)}let pt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class jt{constructor(Ge,Je){let We=(Je=this.options=(function(xt,At){for(let Kt in At)xt[Kt]=At[Kt];return xt})(Object.create(pt),Je)).debug;if(We&&console.time(\"preprocess data\"),Je.maxZoom<0||Je.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Je.promoteId&&Je.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let et=(function(xt,At){let Kt=[];if(xt.type===\"FeatureCollection\")for(let Qt=0;Qt<xt.features.length;Qt++)me(Kt,xt.features[Qt],At,Qt);else me(Kt,xt.type===\"Feature\"?xt:{geometry:xt},At);return Kt})(Ge,Je);this.tiles={},this.tileCoords=[],We&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",Je.indexMaxZoom,Je.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),et=(function(xt,At){let Kt=At.buffer/At.extent,Qt=xt,Mr=Ht(xt,1,-1-Kt,Kt,0,-1,2,At),Gr=Ht(xt,1,1-Kt,2+Kt,0,-1,2,At);return(Mr||Gr)&&(Qt=Ht(xt,1,-Kt,1+Kt,0,-1,2,At)||[],Mr&&(Qt=Ue(Mr,1).concat(Qt)),Gr&&(Qt=Qt.concat(Ue(Gr,-1)))),Qt})(et,Je),et.length&&this.splitTile(et,0,0,0),We&&(et.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(Ge,Je,We,et,xt,At,Kt){let Qt=[Ge,Je,We,et],Mr=this.options,Gr=Mr.debug;for(;Qt.length;){et=Qt.pop(),We=Qt.pop(),Je=Qt.pop(),Ge=Qt.pop();let Ir=1<<Je,Yr=or(Je,We,et),_i=this.tiles[Yr];if(!_i&&(Gr>1&&console.time(\"creation\"),_i=this.tiles[Yr]=Tt(Ge,Je,We,et,Mr),this.tileCoords.push({z:Je,x:We,y:et}),Gr)){Gr>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Je,We,et,_i.numFeatures,_i.numPoints,_i.numSimplified),console.timeEnd(\"creation\"));let Yn=`z${Je}`;this.stats[Yn]=(this.stats[Yn]||0)+1,this.total++}if(_i.source=Ge,xt==null){if(Je===Mr.indexMaxZoom||_i.numPoints<=Mr.indexMaxPoints)continue}else{if(Je===Mr.maxZoom||Je===xt)continue;if(xt!=null){let Yn=xt-Je;if(We!==At>>Yn||et!==Kt>>Yn)continue}}if(_i.source=null,Ge.length===0)continue;Gr>1&&console.time(\"clipping\");let Pi=.5*Mr.buffer/Mr.extent,ai=.5-Pi,mi=.5+Pi,un=1+Pi,Fn=null,An=null,Hn=null,Qn=null,Vi=Ht(Ge,Ir,We-Pi,We+mi,0,_i.minX,_i.maxX,Mr),Jn=Ht(Ge,Ir,We+ai,We+un,0,_i.minX,_i.maxX,Mr);Ge=null,Vi&&(Fn=Ht(Vi,Ir,et-Pi,et+mi,1,_i.minY,_i.maxY,Mr),An=Ht(Vi,Ir,et+ai,et+un,1,_i.minY,_i.maxY,Mr),Vi=null),Jn&&(Hn=Ht(Jn,Ir,et-Pi,et+mi,1,_i.minY,_i.maxY,Mr),Qn=Ht(Jn,Ir,et+ai,et+un,1,_i.minY,_i.maxY,Mr),Jn=null),Gr>1&&console.timeEnd(\"clipping\"),Qt.push(Fn||[],Je+1,2*We,2*et),Qt.push(An||[],Je+1,2*We,2*et+1),Qt.push(Hn||[],Je+1,2*We+1,2*et),Qt.push(Qn||[],Je+1,2*We+1,2*et+1)}}getTile(Ge,Je,We){Ge=+Ge,Je=+Je,We=+We;let et=this.options,{extent:xt,debug:At}=et;if(Ge<0||Ge>24)return null;let Kt=1<<Ge,Qt=or(Ge,Je=Je+Kt&Kt-1,We);if(this.tiles[Qt])return rt(this.tiles[Qt],xt);At>1&&console.log(\"drilling down to z%d-%d-%d\",Ge,Je,We);let Mr,Gr=Ge,Ir=Je,Yr=We;for(;!Mr&&Gr>0;)Gr--,Ir>>=1,Yr>>=1,Mr=this.tiles[or(Gr,Ir,Yr)];return Mr&&Mr.source?(At>1&&(console.log(\"found parent tile z%d-%d-%d\",Gr,Ir,Yr),console.time(\"drilling down\")),this.splitTile(Mr.source,Gr,Ir,Yr,Ge,Je,We),At>1&&console.timeEnd(\"drilling down\"),this.tiles[Qt]?rt(this.tiles[Qt],xt):null):null}}function or(gt,Ge,Je){return 32*((1<<gt)*Je+Ge)+gt}function mr(gt,Ge){return Ge?gt.properties[Ge]:gt.id}function Ar(gt,Ge){if(gt==null)return!0;if(gt.type===\"Feature\")return mr(gt,Ge)!=null;if(gt.type===\"FeatureCollection\"){let Je=new Set;for(let We of gt.features){let et=mr(We,Ge);if(et==null||Je.has(et))return!1;Je.add(et)}return!0}return!1}function ei(gt,Ge){let Je=new Map;if(gt!=null)if(gt.type===\"Feature\")Je.set(mr(gt,Ge),gt);else for(let We of gt.features)Je.set(mr(We,Ge),We);return Je}class qr extends u{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=Ge.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");let et=this._geoJSONIndex.getTile(We.z,We.x,We.y);if(!et)return null;let xt=new class{constructor(Kt){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=i.X,this.length=Kt.length,this._features=Kt}feature(Kt){return new class{constructor(Qt){this._feature=Qt,this.extent=i.X,this.type=Qt.type,this.properties=Qt.tags,\"id\"in Qt&&!isNaN(Qt.id)&&(this.id=parseInt(Qt.id,10))}loadGeometry(){if(this._feature.type===1){let Qt=[];for(let Mr of this._feature.geometry)Qt.push([new i.P(Mr[0],Mr[1])]);return Qt}{let Qt=[];for(let Mr of this._feature.geometry){let Gr=[];for(let Ir of Mr)Gr.push(new i.P(Ir[0],Ir[1]));Qt.push(Gr)}return Qt}}toGeoJSON(Qt,Mr,Gr){return v.call(this,Qt,Mr,Gr)}}(this._features[Kt])}}(et.features),At=G(xt);return At.byteOffset===0&&At.byteLength===At.buffer.byteLength||(At=new Uint8Array(At)),{vectorTile:xt,rawData:At.buffer}}))}loadData(Ge){return i._(this,void 0,void 0,(function*(){var Je;(Je=this._pendingRequest)===null||Je===void 0||Je.abort();let We=!!(Ge&&Ge.request&&Ge.request.collectResourceTiming)&&new i.bv(Ge.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(Ge,this._pendingRequest),this._geoJSONIndex=Ge.cluster?new _e((function({superclusterOptions:At,clusterProperties:Kt}){if(!Kt||!At)return At;let Qt={},Mr={},Gr={accumulated:null,zoom:0},Ir={properties:null},Yr=Object.keys(Kt);for(let _i of Yr){let[Pi,ai]=Kt[_i],mi=i.bC(ai),un=i.bC(typeof Pi==\"string\"?[Pi,[\"accumulated\"],[\"get\",_i]]:Pi);Qt[_i]=mi.value,Mr[_i]=un.value}return At.map=_i=>{Ir.properties=_i;let Pi={};for(let ai of Yr)Pi[ai]=Qt[ai].evaluate(Gr,Ir);return Pi},At.reduce=(_i,Pi)=>{Ir.properties=Pi;for(let ai of Yr)Gr.accumulated=_i[ai],_i[ai]=Mr[ai].evaluate(Gr,Ir)},At})(Ge)).load((yield this._pendingData).features):(et=yield this._pendingData,new jt(et,Ge.geojsonVtOptions)),this.loaded={};let xt={};if(We){let At=We.finish();At&&(xt.resourceTiming={},xt.resourceTiming[Ge.source]=JSON.parse(JSON.stringify(At)))}return xt}catch(xt){if(delete this._pendingRequest,i.bB(xt))return{abandoned:!0};throw xt}var et}))}getData(){return i._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(Ge){let Je=this.loaded;return Je&&Je[Ge.uid]?super.reloadTile(Ge):this.loadTile(Ge)}loadAndProcessGeoJSON(Ge,Je){return i._(this,void 0,void 0,(function*(){let We=yield this.loadGeoJSON(Ge,Je);if(delete this._pendingRequest,typeof We!=\"object\")throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(d(We,!0),Ge.filter){let et=i.bC(Ge.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(et.result===\"error\")throw new Error(et.value.map((At=>`${At.key}: ${At.message}`)).join(\", \"));We={type:\"FeatureCollection\",features:We.features.filter((At=>et.value.evaluate({zoom:0},At)))}}return We}))}loadGeoJSON(Ge,Je){return i._(this,void 0,void 0,(function*(){let{promoteId:We}=Ge;if(Ge.request){let et=yield i.h(Ge.request,Je);return this._dataUpdateable=Ar(et.data,We)?ei(et.data,We):void 0,et.data}if(typeof Ge.data==\"string\")try{let et=JSON.parse(Ge.data);return this._dataUpdateable=Ar(et,We)?ei(et,We):void 0,et}catch(et){throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`)}if(!Ge.dataDiff)throw new Error(`Input data given to '${Ge.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ge.source}`);return(function(et,xt,At){var Kt,Qt,Mr,Gr;if(xt.removeAll&&et.clear(),xt.remove)for(let Ir of xt.remove)et.delete(Ir);if(xt.add)for(let Ir of xt.add){let Yr=mr(Ir,At);Yr!=null&&et.set(Yr,Ir)}if(xt.update)for(let Ir of xt.update){let Yr=et.get(Ir.id);if(Yr==null)continue;let _i=!Ir.removeAllProperties&&(((Kt=Ir.removeProperties)===null||Kt===void 0?void 0:Kt.length)>0||((Qt=Ir.addOrUpdateProperties)===null||Qt===void 0?void 0:Qt.length)>0);if((Ir.newGeometry||Ir.removeAllProperties||_i)&&(Yr=Object.assign({},Yr),et.set(Ir.id,Yr),_i&&(Yr.properties=Object.assign({},Yr.properties))),Ir.newGeometry&&(Yr.geometry=Ir.newGeometry),Ir.removeAllProperties)Yr.properties={};else if(((Mr=Ir.removeProperties)===null||Mr===void 0?void 0:Mr.length)>0)for(let Pi of Ir.removeProperties)Object.prototype.hasOwnProperty.call(Yr.properties,Pi)&&delete Yr.properties[Pi];if(((Gr=Ir.addOrUpdateProperties)===null||Gr===void 0?void 0:Gr.length)>0)for(let{key:Pi,value:ai}of Ir.addOrUpdateProperties)Yr.properties[Pi]=ai}})(this._dataUpdateable,Ge.dataDiff,We),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(Ge){return i._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(Ge){return this._geoJSONIndex.getClusterExpansionZoom(Ge.clusterId)}getClusterChildren(Ge){return this._geoJSONIndex.getChildren(Ge.clusterId)}getClusterLeaves(Ge){return this._geoJSONIndex.getLeaves(Ge.clusterId,Ge.limit,Ge.offset)}}class jr{constructor(Ge){this.self=Ge,this.actor=new i.F(Ge),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Je,We)=>{if(this.externalWorkerSourceTypes[Je])throw new Error(`Worker source with name \"${Je}\" already registered.`);this.externalWorkerSourceTypes[Je]=We},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Je=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Je)},this.actor.registerMessageHandler(\"LDT\",((Je,We)=>this._getDEMWorkerSource(Je,We.source).loadTile(We))),this.actor.registerMessageHandler(\"RDT\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(Je,We.source).removeTile(We)})))),this.actor.registerMessageHandler(\"GCEZ\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterExpansionZoom(We)})))),this.actor.registerMessageHandler(\"GCC\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterChildren(We)})))),this.actor.registerMessageHandler(\"GCL\",((Je,We)=>i._(this,void 0,void 0,(function*(){return this._getWorkerSource(Je,We.type,We.source).getClusterLeaves(We)})))),this.actor.registerMessageHandler(\"LD\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).loadData(We))),this.actor.registerMessageHandler(\"GD\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).getData())),this.actor.registerMessageHandler(\"LT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).loadTile(We))),this.actor.registerMessageHandler(\"RT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).reloadTile(We))),this.actor.registerMessageHandler(\"AT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).abortTile(We))),this.actor.registerMessageHandler(\"RMT\",((Je,We)=>this._getWorkerSource(Je,We.type,We.source).removeTile(We))),this.actor.registerMessageHandler(\"RS\",((Je,We)=>i._(this,void 0,void 0,(function*(){if(!this.workerSources[Je]||!this.workerSources[Je][We.type]||!this.workerSources[Je][We.type][We.source])return;let et=this.workerSources[Je][We.type][We.source];delete this.workerSources[Je][We.type][We.source],et.removeSource!==void 0&&et.removeSource(We)})))),this.actor.registerMessageHandler(\"RM\",(Je=>i._(this,void 0,void 0,(function*(){delete this.layerIndexes[Je],delete this.availableImages[Je],delete this.workerSources[Je],delete this.demWorkerSources[Je]})))),this.actor.registerMessageHandler(\"SR\",((Je,We)=>i._(this,void 0,void 0,(function*(){this.referrer=We})))),this.actor.registerMessageHandler(\"SRPS\",((Je,We)=>this._syncRTLPluginState(Je,We))),this.actor.registerMessageHandler(\"IS\",((Je,We)=>i._(this,void 0,void 0,(function*(){this.self.importScripts(We)})))),this.actor.registerMessageHandler(\"SI\",((Je,We)=>this._setImages(Je,We))),this.actor.registerMessageHandler(\"UL\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getLayerIndex(Je).update(We.layers,We.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((Je,We)=>i._(this,void 0,void 0,(function*(){this._getLayerIndex(Je).replace(We)}))))}_setImages(Ge,Je){return i._(this,void 0,void 0,(function*(){this.availableImages[Ge]=Je;for(let We in this.workerSources[Ge]){let et=this.workerSources[Ge][We];for(let xt in et)et[xt].availableImages=Je}}))}_syncRTLPluginState(Ge,Je){return i._(this,void 0,void 0,(function*(){if(i.bD.isParsed())return i.bD.getState();if(Je.pluginStatus!==\"loading\")return i.bD.setState(Je),Je;let We=Je.pluginURL;if(this.self.importScripts(We),i.bD.isParsed()){let et={pluginStatus:\"loaded\",pluginURL:We};return i.bD.setState(et),et}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${We}`)}))}_getAvailableImages(Ge){let Je=this.availableImages[Ge];return Je||(Je=[]),Je}_getLayerIndex(Ge){let Je=this.layerIndexes[Ge];return Je||(Je=this.layerIndexes[Ge]=new a),Je}_getWorkerSource(Ge,Je,We){if(this.workerSources[Ge]||(this.workerSources[Ge]={}),this.workerSources[Ge][Je]||(this.workerSources[Ge][Je]={}),!this.workerSources[Ge][Je][We]){let et={sendAsync:(xt,At)=>(xt.targetMapId=Ge,this.actor.sendAsync(xt,At))};switch(Je){case\"vector\":this.workerSources[Ge][Je][We]=new u(et,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;case\"geojson\":this.workerSources[Ge][Je][We]=new qr(et,this._getLayerIndex(Ge),this._getAvailableImages(Ge));break;default:this.workerSources[Ge][Je][We]=new this.externalWorkerSourceTypes[Je](et,this._getLayerIndex(Ge),this._getAvailableImages(Ge))}}return this.workerSources[Ge][Je][We]}_getDEMWorkerSource(Ge,Je){return this.demWorkerSources[Ge]||(this.demWorkerSources[Ge]={}),this.demWorkerSources[Ge][Je]||(this.demWorkerSources[Ge][Je]=new c),this.demWorkerSources[Ge][Je]}}return i.i(self)&&(self.worker=new jr(self)),jr})),r(\"index\",[\"exports\",\"./shared\"],(function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:ue=>new Promise(((w,B)=>{let 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0&&(ee.className=B),Q&&Q.appendChild(ee),ee}static createNS(w,B){return window.document.createElementNS(w,B)}static disableDrag(){c.docStyle&&c.selectProp&&(c.userSelect=c.docStyle[c.selectProp],c.docStyle[c.selectProp]=\"none\")}static enableDrag(){c.docStyle&&c.selectProp&&(c.docStyle[c.selectProp]=c.userSelect)}static setTransform(w,B){w.style[c.transformProp]=B}static addEventListener(w,B,Q,ee={}){w.addEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static removeEventListener(w,B,Q,ee={}){w.removeEventListener(B,Q,\"passive\"in ee?ee:ee.capture)}static suppressClickInternal(w){w.preventDefault(),w.stopPropagation(),window.removeEventListener(\"click\",c.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",c.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",c.suppressClickInternal,!0)}),0)}static getScale(w){let B=w.getBoundingClientRect();return{x:B.width/w.offsetWidth||1,y:B.height/w.offsetHeight||1,boundingClientRect:B}}static getPoint(w,B,Q){let ee=B.boundingClientRect;return new a.P((Q.clientX-ee.left)/B.x-w.clientLeft,(Q.clientY-ee.top)/B.y-w.clientTop)}static mousePos(w,B){let Q=c.getScale(w);return c.getPoint(w,Q,B)}static touchPos(w,B){let Q=[],ee=c.getScale(w);for(let le=0;le<B.length;le++)Q.push(c.getPoint(w,ee,B[le]));return Q}static mouseButton(w){return w.button}static remove(w){w.parentNode&&w.parentNode.removeChild(w)}}c.docStyle=typeof window!=\"undefined\"&&window.document&&window.document.documentElement.style,c.selectProp=c.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),c.transformProp=c.testProp([\"transform\",\"WebkitTransform\"]);let f={supported:!1,testSupport:function(ue){!v&&d&&(m?b(ue):h=ue)}},h,d,v=!1,m=!1;function b(ue){let w=ue.createTexture();ue.bindTexture(ue.TEXTURE_2D,w);try{if(ue.texImage2D(ue.TEXTURE_2D,0,ue.RGBA,ue.RGBA,ue.UNSIGNED_BYTE,d),ue.isContextLost())return;f.supported=!0}catch(B){}ue.deleteTexture(w),v=!0}var p;typeof document!=\"undefined\"&&(d=document.createElement(\"img\"),d.onload=()=>{h&&b(h),h=null,m=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),(function(ue){let w,B,Q,ee;ue.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},ue.addThrottleControl=ut=>{let Mt=Q++;return ee[Mt]=ut,Mt},ue.removeThrottleControl=ut=>{delete ee[ut],Fe()},ue.getImage=(ut,Mt,Jt=!0)=>new Promise((($t,yr)=>{f.supported&&(ut.headers||(ut.headers={}),ut.headers.accept=\"image/webp,*/*\"),a.e(ut,{type:\"image\"}),w.push({abortController:Mt,requestParameters:ut,supportImageRefresh:Jt,state:\"queued\",onError:Cr=>{yr(Cr)},onSuccess:Cr=>{$t(Cr)}}),Fe()}));let le=ut=>a._(this,void 0,void 0,(function*(){ut.state=\"running\";let{requestParameters:Mt,supportImageRefresh:Jt,onError:$t,onSuccess:yr,abortController:Cr}=ut,ve=Jt===!1&&!a.i(self)&&!a.g(Mt.url)&&(!Mt.headers||Object.keys(Mt.headers).reduce(((ze,Qe)=>ze&&Qe===\"accept\"),!0));B++;let xe=ve?Ze(Mt,Cr):a.m(Mt,Cr);try{let ze=yield xe;delete ut.abortController,ut.state=\"completed\",ze.data instanceof HTMLImageElement||a.b(ze.data)?yr(ze):ze.data&&yr({data:yield(Ie=ze.data,typeof createImageBitmap==\"function\"?a.d(Ie):a.f(Ie)),cacheControl:ze.cacheControl,expires:ze.expires})}catch(ze){delete ut.abortController,$t(ze)}finally{B--,Fe()}var Ie})),Fe=()=>{let ut=(()=>{for(let Mt of Object.keys(ee))if(ee[Mt]())return!0;return!1})()?a.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:a.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let Mt=B;Mt<ut&&w.length>0;Mt++){let Jt=w.shift();Jt.abortController.signal.aborted?Mt--:le(Jt)}},Ze=(ut,Mt)=>new Promise(((Jt,$t)=>{let yr=new Image,Cr=ut.url,ve=ut.credentials;ve&&ve===\"include\"?yr.crossOrigin=\"use-credentials\":(ve&&ve===\"same-origin\"||!a.s(Cr))&&(yr.crossOrigin=\"anonymous\"),Mt.signal.addEventListener(\"abort\",(()=>{yr.src=\"\",$t(a.c())})),yr.fetchPriority=\"high\",yr.onload=()=>{yr.onerror=yr.onload=null,Jt({data:yr})},yr.onerror=()=>{yr.onerror=yr.onload=null,Mt.signal.aborted||$t(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},yr.src=Cr}))})(p||(p={})),p.resetRequestQueue();class k{constructor(w){this._transformRequestFn=w}transformRequest(w,B){return this._transformRequestFn&&this._transformRequestFn(w,B)||{url:w}}setTransformRequest(w){this._transformRequestFn=w}}function M(ue){var w=new a.A(3);return w[0]=ue[0],w[1]=ue[1],w[2]=ue[2],w}var T,L=function(ue,w,B){return ue[0]=w[0]-B[0],ue[1]=w[1]-B[1],ue[2]=w[2]-B[2],ue};T=new a.A(3),a.A!=Float32Array&&(T[0]=0,T[1]=0,T[2]=0);var x=function(ue){var w=ue[0],B=ue[1];return w*w+B*B};function C(ue){let w=[];if(typeof ue==\"string\")w.push({id:\"default\",url:ue});else if(ue&&ue.length>0){let B=[];for(let{id:Q,url:ee}of ue){let le=`${Q}${ee}`;B.indexOf(le)===-1&&(B.push(le),w.push({id:Q,url:ee}))}}return w}function S(ue,w,B){let Q=ue.split(\"?\");return Q[0]+=`${w}${B}`,Q.join(\"?\")}(function(){var ue=new a.A(2);a.A!=Float32Array&&(ue[0]=0,ue[1]=0)})();class g{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:le}=w,Fe=!(this.size&&this.size[0]===ee&&this.size[1]===le||Q),{context:Ze}=this,{gl:ut}=Ze;if(this.useMipmap=!!(B&&B.useMipmap),ut.bindTexture(ut.TEXTURE_2D,this.texture),Ze.pixelStoreUnpackFlipY.set(!1),Ze.pixelStoreUnpack.set(1),Ze.pixelStoreUnpackPremultiplyAlpha.set(this.format===ut.RGBA&&(!B||B.premultiply!==!1)),Fe)this.size=[ee,le],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ut.texImage2D(ut.TEXTURE_2D,0,this.format,this.format,ut.UNSIGNED_BYTE,w):ut.texImage2D(ut.TEXTURE_2D,0,this.format,ee,le,0,this.format,ut.UNSIGNED_BYTE,w.data);else{let{x:Mt,y:Jt}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?ut.texSubImage2D(ut.TEXTURE_2D,0,Mt,Jt,ut.RGBA,ut.UNSIGNED_BYTE,w):ut.texSubImage2D(ut.TEXTURE_2D,0,Mt,Jt,ee,le,ut.RGBA,ut.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&ut.generateMipmap(ut.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:le}=ee;le.bindTexture(le.TEXTURE_2D,this.texture),Q!==le.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=le.LINEAR),w!==this.filter&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,w),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,B),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(ue){let{userImage:w}=ue;return!!(w&&w.render&&w.render())&&(ue.data.replace(new Uint8Array(w.data.buffer)),!0)}class E extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]<Q||ee[1]<ee[0]||B<ee[1])return!1;Q=ee[1]}return!0}_validateContent(w,B){if(!w)return!0;if(w.length!==4)return!1;let Q=B.spriteData,ee=Q&&Q.width||B.data.width,le=Q&&Q.height||B.data.height;return!(w[0]<0||ee<w[0]||w[1]<0||le<w[1]||w[2]<0||ee<w[2]||w[3]<0||le<w[3]||w[2]<w[0]||w[3]<w[1])}updateImage(w,B,Q=!0){let ee=this.getImage(w);if(Q&&(ee.data.width!==B.data.width||ee.data.height!==B.data.height))throw new Error(`size mismatch between old image (${ee.data.width}x${ee.data.height}) and new image (${B.data.width}x${B.data.height}).`);B.version=ee.version+1,this.images[w]=B,this.updatedImages[w]=!0}removeImage(w){let B=this.images[w];delete this.images[w],delete this.patterns[w],B.userImage&&B.userImage.onRemove&&B.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(w){return new Promise(((B,Q)=>{let ee=!0;if(!this.isLoaded())for(let le of w)this.images[le]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})}))}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},le=new a.I(ee,Q);this.patterns[w]={bin:ee,position:le}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new g(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let le in this.patterns)w.push(this.patterns[le].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let le in this.patterns){let{bin:Fe}=this.patterns[le],Ze=Fe.x+1,ut=Fe.y+1,Mt=this.getImage(le).data,Jt=Mt.width,$t=Mt.height;a.R.copy(Mt,ee,{x:0,y:0},{x:Ze,y:ut},{width:Jt,height:$t}),a.R.copy(Mt,ee,{x:0,y:$t-1},{x:Ze,y:ut-1},{width:Jt,height:1}),a.R.copy(Mt,ee,{x:0,y:0},{x:Ze,y:ut+$t},{width:Jt,height:1}),a.R.copy(Mt,ee,{x:Jt-1,y:0},{x:Ze-1,y:ut},{width:1,height:$t}),a.R.copy(Mt,ee,{x:0,y:0},{x:Ze+Jt,y:ut},{width:1,height:$t})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let z=1e20;function q(ue,w,B,Q,ee,le,Fe,Ze,ut){for(let Mt=w;Mt<w+Q;Mt++)V(ue,B*le+Mt,le,ee,Fe,Ze,ut);for(let Mt=B;Mt<B+ee;Mt++)V(ue,Mt*le+w,1,Q,Fe,Ze,ut)}function V(ue,w,B,Q,ee,le,Fe){le[0]=0,Fe[0]=-z,Fe[1]=z,ee[0]=ue[w];for(let Ze=1,ut=0,Mt=0;Ze<Q;Ze++){ee[Ze]=ue[w+Ze*B];let Jt=Ze*Ze;do{let $t=le[ut];Mt=(ee[Ze]-ee[$t]+Jt-$t*$t)/(Ze-$t)/2}while(Mt<=Fe[ut]&&--ut>-1);ut++,le[ut]=Ze,Fe[ut]=Mt,Fe[ut+1]=z}for(let Ze=0,ut=0;Ze<Q;Ze++){for(;Fe[ut+1]<Ze;)ut++;let Mt=le[ut],Jt=Ze-Mt;ue[w+Ze*B]=ee[Mt]+Jt*Jt}}class G{constructor(w,B){this.requestManager=w,this.localIdeographFontFamily=B,this.entries={}}setURL(w){this.url=w}getGlyphs(w){return a._(this,void 0,void 0,(function*(){let B=[];for(let le in w)for(let Fe of w[le])B.push(this._getAndCacheGlyphsPromise(le,Fe));let Q=yield Promise.all(B),ee={};for(let{stack:le,id:Fe,glyph:Ze}of Q)ee[le]||(ee[le]={}),ee[le][Fe]=Ze&&{id:Ze.id,bitmap:Ze.bitmap.clone(),metrics:Ze.metrics};return ee}))}_getAndCacheGlyphsPromise(w,B){return a._(this,void 0,void 0,(function*(){let Q=this.entries[w];Q||(Q=this.entries[w]={glyphs:{},requests:{},ranges:{}});let ee=Q.glyphs[B];if(ee!==void 0)return{stack:w,id:B,glyph:ee};if(ee=this._tinySDF(Q,w,B),ee)return Q.glyphs[B]=ee,{stack:w,id:B,glyph:ee};let le=Math.floor(B/256);if(256*le>65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[le])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[le]){let Ze=G.loadGlyphRange(w,le,this.url,this.requestManager);Q.requests[le]=Ze}let Fe=yield Q.requests[le];for(let Ze in Fe)this._doesCharSupportLocalGlyph(+Ze)||(Q.glyphs[+Ze]=Fe[+Ze]);return Q.ranges[le]=!0,{stack:w,id:B,glyph:Fe[B]||null}}))}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let le=w.tinySDF;if(!le){let Ze=\"400\";/bold/i.test(B)?Ze=\"900\":/medium/i.test(B)?Ze=\"500\":/light/i.test(B)&&(Ze=\"200\"),le=w.tinySDF=new G.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:Ze})}let Fe=le.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:Fe.width||60,height:Fe.height||60},Fe.data),metrics:{width:Fe.glyphWidth/2||24,height:Fe.glyphHeight/2||24,left:Fe.glyphLeft/2+.5||0,top:Fe.glyphTop/2-27.5||-8,advance:Fe.glyphAdvance/2||24,isDoubleResolution:!0}}}}G.loadGlyphRange=function(ue,w,B,Q){return a._(this,void 0,void 0,(function*(){let ee=256*w,le=ee+255,Fe=Q.transformRequest(B.replace(\"{fontstack}\",ue).replace(\"{range}\",`${ee}-${le}`),\"Glyphs\"),Ze=yield a.l(Fe,new AbortController);if(!Ze||!Ze.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${le}`);let ut={};for(let Mt of a.n(Ze.data))ut[Mt.id]=Mt;return ut}))},G.TinySDF=class{constructor({fontSize:ue=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:le=\"normal\",fontStyle:Fe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let Ze=this.size=ue+4*w,ut=this._createCanvas(Ze),Mt=this.ctx=ut.getContext(\"2d\",{willReadFrequently:!0});Mt.font=`${Fe} ${le} ${ue}px ${ee}`,Mt.textBaseline=\"alphabetic\",Mt.textAlign=\"left\",Mt.fillStyle=\"black\",this.gridOuter=new Float64Array(Ze*Ze),this.gridInner=new Float64Array(Ze*Ze),this.f=new Float64Array(Ze),this.z=new Float64Array(Ze+1),this.v=new Uint16Array(Ze)}_createCanvas(ue){let w=document.createElement(\"canvas\");return w.width=w.height=ue,w}draw(ue){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:le}=this.ctx.measureText(ue),Fe=Math.ceil(B),Ze=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(le-ee))),ut=Math.min(this.size-this.buffer,Fe+Math.ceil(Q)),Mt=Ze+2*this.buffer,Jt=ut+2*this.buffer,$t=Math.max(Mt*Jt,0),yr=new Uint8ClampedArray($t),Cr={data:yr,width:Mt,height:Jt,glyphWidth:Ze,glyphHeight:ut,glyphTop:Fe,glyphLeft:0,glyphAdvance:w};if(Ze===0||ut===0)return Cr;let{ctx:ve,buffer:xe,gridInner:Ie,gridOuter:ze}=this;ve.clearRect(xe,xe,Ze,ut),ve.fillText(ue,xe,xe+Fe);let Qe=ve.getImageData(xe,xe,Ze,ut);ze.fill(z,0,$t),Ie.fill(0,0,$t);for(let Xe=0;Xe<ut;Xe++)for(let nt=0;nt<Ze;nt++){let qt=Qe.data[4*(Xe*Ze+nt)+3]/255;if(qt===0)continue;let Wt=(Xe+xe)*Mt+nt+xe;if(qt===1)ze[Wt]=0,Ie[Wt]=z;else{let nr=.5-qt;ze[Wt]=nr>0?nr*nr:0,Ie[Wt]=nr<0?nr*nr:0}}q(ze,0,0,Mt,Jt,Mt,this.f,this.v,this.z),q(Ie,xe,xe,Ze,ut,Mt,this.f,this.v,this.z);for(let Xe=0;Xe<$t;Xe++){let nt=Math.sqrt(ze[Xe])-Math.sqrt(Ie[Xe]);yr[Xe]=Math.round(255-255*(nt/this.radius+this.cutoff))}return Cr}};class Z{constructor(){this.specification=a.v.light.position}possiblyEvaluate(w,B){return a.x(w.expression.evaluate(B))}interpolate(w,B,Q){return{x:a.y.number(w.x,B.x,Q),y:a.y.number(w.y,B.y,Q),z:a.y.number(w.z,B.z,Q)}}}let j;class N extends a.E{constructor(w){super(),j=j||new a.q({anchor:new a.D(a.v.light.anchor),position:new Z,color:new a.D(a.v.light.color),intensity:new a.D(a.v.light.intensity)}),this._transitionable=new a.T(j),this.setLight(w),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(w,B={}){if(!this._validate(a.r,w,B))for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q){return(!Q||Q.validate!==!1)&&a.t(this,w.call(a.u,{value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v}))}}let H=new a.q({\"sky-color\":new a.D(a.v.sky[\"sky-color\"]),\"horizon-color\":new a.D(a.v.sky[\"horizon-color\"]),\"fog-color\":new a.D(a.v.sky[\"fog-color\"]),\"fog-ground-blend\":new a.D(a.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new a.D(a.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new a.D(a.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new a.D(a.v.sky[\"atmosphere-blend\"])});class re extends a.E{constructor(w){super(),this._transitionable=new a.T(H),this.setSky(w),this._transitioning=this._transitionable.untransitioned(),this.recalculate(new a.z(0))}setSky(w,B={}){if(!this._validate(a.B,w,B)){w||(w={\"sky-color\":\"transparent\",\"horizon-color\":\"transparent\",\"fog-color\":\"transparent\",\"fog-ground-blend\":1,\"atmosphere-blend\":0});for(let Q in w){let ee=w[Q];Q.endsWith(\"-transition\")?this._transitionable.setTransition(Q.slice(0,-11),ee):this._transitionable.setValue(Q,ee)}}}getSky(){return this._transitionable.serialize()}updateTransitions(w){this._transitioning=this._transitionable.transitioned(w,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(w){this.properties=this._transitioning.possiblyEvaluate(w)}_validate(w,B,Q={}){return(Q==null?void 0:Q.validate)!==!1&&a.t(this,w.call(a.u,a.e({value:B,style:{glyphs:!0,sprite:!0},styleSpec:a.v})))}calculateFogBlendOpacity(w){return w<60?0:w<70?(w-60)/10:1}}class ae{constructor(w,B){this.width=w,this.height=B,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(w,B){let Q=w.join(\",\")+String(B);return this.dashEntry[Q]||(this.dashEntry[Q]=this.addDash(w,B)),this.dashEntry[Q]}getDashRanges(w,B,Q){let ee=[],le=w.length%2==1?-w[w.length-1]*Q:0,Fe=w[0]*Q,Ze=!0;ee.push({left:le,right:Fe,isDash:Ze,zeroLength:w[0]===0});let ut=w[0];for(let Mt=1;Mt<w.length;Mt++){Ze=!Ze;let Jt=w[Mt];le=ut*Q,ut+=Jt,Fe=ut*Q,ee.push({left:le,right:Fe,isDash:Ze,zeroLength:Jt===0})}return ee}addRoundDash(w,B,Q){let ee=B/2;for(let le=-Q;le<=Q;le++){let Fe=this.width*(this.nextRow+Q+le),Ze=0,ut=w[Ze];for(let Mt=0;Mt<this.width;Mt++){Mt/ut.right>1&&(ut=w[++Ze]);let Jt=Math.abs(Mt-ut.left),$t=Math.abs(Mt-ut.right),yr=Math.min(Jt,$t),Cr,ve=le/Q*(ee+1);if(ut.isDash){let xe=ee-Math.abs(ve);Cr=Math.sqrt(yr*yr+xe*xe)}else Cr=ee-Math.sqrt(yr*yr+ve*ve);this.data[Fe+Mt]=Math.max(0,Math.min(255,Cr+128))}}}addRegularDash(w){for(let Ze=w.length-1;Ze>=0;--Ze){let ut=w[Ze],Mt=w[Ze+1];ut.zeroLength?w.splice(Ze,1):Mt&&Mt.isDash===ut.isDash&&(Mt.left=ut.left,w.splice(Ze,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,le=0,Fe=w[le];for(let Ze=0;Ze<this.width;Ze++){Ze/Fe.right>1&&(Fe=w[++le]);let ut=Math.abs(Ze-Fe.left),Mt=Math.abs(Ze-Fe.right),Jt=Math.min(ut,Mt);this.data[ee+Ze]=Math.max(0,Math.min(255,(Fe.isDash?Jt:-Jt)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let le=0;for(let Ze=0;Ze<w.length;Ze++)le+=w[Ze];if(le!==0){let Ze=this.width/le,ut=this.getDashRanges(w,this.width,Ze);B?this.addRoundDash(ut,Ze,Q):this.addRegularDash(ut)}let Fe={y:(this.nextRow+Q+.5)/this.height,height:2*Q/this.height,width:le};return this.nextRow+=ee,this.dirty=!0,Fe}bind(w){let B=w.gl;this.texture?(B.bindTexture(B.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,B.texSubImage2D(B.TEXTURE_2D,0,0,0,this.width,this.height,B.ALPHA,B.UNSIGNED_BYTE,this.data))):(this.texture=B.createTexture(),B.bindTexture(B.TEXTURE_2D,this.texture),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_S,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_WRAP_T,B.REPEAT),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MIN_FILTER,B.LINEAR),B.texParameteri(B.TEXTURE_2D,B.TEXTURE_MAG_FILTER,B.LINEAR),B.texImage2D(B.TEXTURE_2D,0,B.ALPHA,this.width,this.height,0,B.ALPHA,B.UNSIGNED_BYTE,this.data))}}let _e=\"maplibre_preloaded_worker_pool\";class Ee{constructor(){this.active={}}acquire(w){if(!this.workers)for(this.workers=[];this.workers.length<Ee.workerCount;)this.workers.push(new Worker(a.a.WORKER_URL));return this.active[w]=!0,this.workers.slice()}release(w){delete this.active[w],this.numActive()===0&&(this.workers.forEach((B=>{B.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let Ce=Math.floor(u.hardwareConcurrency/2),ge,ie;function Se(){return ge||(ge=new Ee),ge}Ee.workerCount=a.C(globalThis)?Math.max(Math.min(Ce,3),1):1;class ke{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee<Q.length;ee++){let le=new a.F(Q[ee],B);le.name=`Worker ${ee}`,this.actors.push(le)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(w,B){let Q=[];for(let ee of this.actors)Q.push(ee.sendAsync({type:w,data:B}));return Promise.all(Q)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(w=!0){this.actors.forEach((B=>{B.remove()})),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function be(){return ie||(ie=new ke(Se(),a.G),ie.registerMessageHandler(\"GR\",((ue,w,B)=>a.m(w,B)))),ie}function Be(ue,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*ue.width,.5*ue.height,1]),a.L(B,B,ue.calculatePosMatrix(w.toUnwrapped()))}function Le(ue,w,B,Q,ee,le){let Fe=(function($t,yr,Cr){if($t)for(let ve of $t){let xe=yr[ve];if(xe&&xe.source===Cr&&xe.type===\"fill-extrusion\")return!0}else for(let ve in yr){let xe=yr[ve];if(xe.source===Cr&&xe.type===\"fill-extrusion\")return!0}return!1})(ee&&ee.layers,w,ue.id),Ze=le.maxPitchScaleFactor(),ut=ue.tilesIn(Q,Ze,Fe);ut.sort(me);let Mt=[];for(let $t of ut)Mt.push({wrappedTileID:$t.tileID.wrapped().key,queryResults:$t.tile.queryRenderedFeatures(w,B,ue._state,$t.queryGeometry,$t.cameraQueryGeometry,$t.scale,ee,le,Ze,Be(ue.transform,$t.tileID))});let Jt=(function($t){let yr={},Cr={};for(let ve of $t){let xe=ve.queryResults,Ie=ve.wrappedTileID,ze=Cr[Ie]=Cr[Ie]||{};for(let Qe in xe){let Xe=xe[Qe],nt=ze[Qe]=ze[Qe]||{},qt=yr[Qe]=yr[Qe]||[];for(let Wt of Xe)nt[Wt.featureIndex]||(nt[Wt.featureIndex]=!0,qt.push(Wt))}}return yr})(Mt);for(let $t in Jt)Jt[$t].forEach((yr=>{let Cr=yr.feature,ve=ue.getFeatureState(Cr.layer[\"source-layer\"],Cr.id);Cr.source=Cr.layer.source,Cr.layer[\"source-layer\"]&&(Cr.sourceLayer=Cr.layer[\"source-layer\"]),Cr.state=ve}));return Jt}function me(ue,w){let B=ue.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Pe(ue,w,B){return a._(this,void 0,void 0,(function*(){let Q=ue;if(ue.url?Q=(yield a.h(w.transformRequest(ue.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,ue),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map((le=>le.id))),ee}))}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,le;if(w instanceof a.N)ee=w,le=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,le=w._ne,!ee||!le)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(le.lng,Q.lng),Q.lat=Math.max(le.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(le.lng,le.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class He{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),le=Math.ceil(a.O(this.bounds.getEast())*B),Fe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x<le&&w.y>=ee&&w.y<Fe}}class lt extends a.E{constructor(w,B,Q,ee){if(super(),this.id=w,this.dispatcher=Q,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=a.e({type:\"vector\"},B),this._collectResourceTiming=B.collectResourceTiming,this.tileSize!==512)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(ee)}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Pe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),w&&(a.e(this,w),w.bounds&&(this.tileBounds=new He(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}}))}loaded(){return this._loaded}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}onAdd(w){this.map=w,this.load()}setSourceProperty(w){this._tileJSONRequest&&this._tileJSONRequest.abort(),w(),this.load()}setTiles(w){return this.setSourceProperty((()=>{this._options.tiles=w})),this}setUrl(w){return this.setSourceProperty((()=>{this.url=w,this._options.url=w})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise(((le,Fe)=>{w.reloadPromise={resolve:le,reject:Fe}}))}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let le=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,le)}catch(le){if(delete w.abortController,w.aborted)return;if(le&&le.status!==404)throw le;this._afterTileLoadWorkerResponse(w,null)}}))}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class mt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Pe(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new He(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}}))}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty((()=>{this._options.tiles=w})),this}setUrl(w){return this.setSourceProperty((()=>{this.url=w,this._options.url=w})),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield p.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,le=ee.gl,Fe=Q.data;w.texture=this.map.painter.getTileTexture(Fe.width),w.texture?w.texture.update(Fe,{useMipmap:!0}):(w.texture=new g(ee,Fe,le.RGBA,{useMipmap:!0}),w.texture.bind(le.LINEAR,le.CLAMP_TO_EDGE,le.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}}))}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)}))}hasTransition(){return!1}}class Ht extends mt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield p.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let le=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let Fe=a.b(le)&&a.U()?le:yield this.readImageNow(le),Ze={type:this.type,uid:w.uid,source:this.id,rawImageData:Fe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let ut=yield w.actor.sendAsync({type:\"LDT\",data:Ze});w.dem=ut,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}}))}readImageNow(w){return a._(this,void 0,void 0,(function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)}))}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,le=B.x===0?w.wrap-1:w.wrap,Fe=(B.x+1+Q)%Q,Ze=B.x+1===Q?w.wrap+1:w.wrap,ut={};return ut[new a.S(w.overscaledZ,le,B.z,ee,B.y).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y).key]={backfilled:!1},B.y>0&&(ut[new a.S(w.overscaledZ,le,B.z,ee,B.y-1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y-1).key]={backfilled:!1}),B.y+1<Q&&(ut[new a.S(w.overscaledZ,le,B.z,ee,B.y+1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y+1).key]={backfilled:!1},ut[new a.S(w.overscaledZ,Ze,B.z,Fe,B.y+1).key]={backfilled:!1}),ut}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.demTexture&&this.map.painter.saveTileTexture(w.demTexture),w.fbo&&(w.fbo.destroy(),delete w.fbo),w.dem&&delete w.dem,delete w.neighboringTiles,w.state=\"unloaded\",w.actor&&(yield w.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:w.uid,source:this.id}}))}))}}class at extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=Q.getActor(),this.setEventedParent(ee),this._data=B.data,this._options=a.e({},B),this._collectResourceTiming=B.collectResourceTiming,B.maxzoom!==void 0&&(this.maxzoom=B.maxzoom),B.type&&(this.type=B.type),B.attribution&&(this.attribution=B.attribution),this.promoteId=B.promoteId;let le=a.X/this.tileSize;B.clusterMaxZoom!==void 0&&this.maxzoom<=B.clusterMaxZoom&&a.w(`The maxzoom value \"${this.maxzoom}\" is expected to be greater than the clusterMaxZoom value \"${B.clusterMaxZoom}\".`),this.workerOptions=a.e({source:this.id,cluster:B.cluster||!1,geojsonVtOptions:{buffer:(B.buffer!==void 0?B.buffer:128)*le,tolerance:(B.tolerance!==void 0?B.tolerance:.375)*le,extent:a.X,maxZoom:this.maxzoom,lineMetrics:B.lineMetrics||!1,generateId:B.generateId||!1},superclusterOptions:{maxZoom:B.clusterMaxZoom!==void 0?B.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,B.clusterMinPoints||2),extent:a.X,radius:(B.clusterRadius||50)*le,log:!1,generateId:B.generateId||!1},clusterProperties:B.clusterProperties,filter:B.filter},B.workerOptions),typeof this.promoteId==\"string\"&&(this.workerOptions.promoteId=this.promoteId)}load(){return a._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(w){this.map=w,this.load()}setData(w){return this._data=w,this._updateWorkerData(),this}updateData(w){return this._updateWorkerData(w),this}getData(){return a._(this,void 0,void 0,(function*(){let w=a.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:w})}))}setClusterOptions(w){return this.workerOptions.cluster=w.cluster,w&&(w.clusterRadius!==void 0&&(this.workerOptions.superclusterOptions.radius=w.clusterRadius),w.clusterMaxZoom!==void 0&&(this.workerOptions.superclusterOptions.maxZoom=w.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(w){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterChildren(w){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:w,source:this.id}})}getClusterLeaves(w,B,Q){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:w,limit:B,offset:Q}})}_updateWorkerData(w){return a._(this,void 0,void 0,(function*(){let B=a.e({type:this.type},this.workerOptions);w?B.dataDiff=w:typeof this._data==\"string\"?(B.request=this.map._requestManager.transformRequest(u.resolveURL(this._data),\"Source\"),B.request.collectResourceTiming=this._collectResourceTiming):B.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new a.k(\"dataloading\",{dataType:\"source\"}));try{let Q=yield this.actor.sendAsync({type:\"LD\",data:B});if(this._pendingLoads--,this._removed||Q.abandoned)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));let ee=null;Q.resourceTiming&&Q.resourceTiming[this.id]&&(ee=Q.resourceTiming[this.id].slice(0));let le={dataType:\"source\"};this._collectResourceTiming&&ee&&ee.length>0&&a.e(le,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},le),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}}))}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,(function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")}))}abortTile(w){return a._(this,void 0,void 0,(function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0}))}unloadTile(w){return a._(this,void 0,void 0,(function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var ct=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class ar extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}}))}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=(function(ee){let le=1/0,Fe=1/0,Ze=-1/0,ut=-1/0;for(let yr of ee)le=Math.min(le,yr.x),Fe=Math.min(Fe,yr.y),Ze=Math.max(Ze,yr.x),ut=Math.max(ut,yr.y);let Mt=Math.max(Ze-le,ut-Fe),Jt=Math.max(0,Math.floor(-Math.log(Mt)/Math.LN2)),$t=Math.pow(2,Jt);return new a.a1(Jt,Math.floor((le+Ze)/2*$t),Math.floor((Fe+ut)/2*$t))})(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map((ee=>this.tileID.getTilePoint(ee)._round()));return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new g(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class Vt extends ar{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;w<B.start(0)||w>B.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new g(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let le=this.tiles[ee];le.state!==\"loaded\"&&(le.state=\"loaded\",le.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class rr extends ar{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some((le=>!Array.isArray(le)||le.length!==2||le.some((Fe=>typeof Fe!=\"number\"))))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,ct.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new g(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let le in this.tiles){let Fe=this.tiles[le];Fe.state!==\"loaded\"&&(Fe.state=\"loaded\",Fe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let tt={},je=ue=>{switch(ue){case\"geojson\":return at;case\"image\":return ar;case\"raster\":return mt;case\"raster-dem\":return Ht;case\"vector\":return lt;case\"video\":return Vt;case\"canvas\":return rr}return tt[ue]},Ue=\"RTLPluginLoaded\";class Ae extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=be()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch((B=>{throw this.status=\"error\",B}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,(function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()}))}_requestImport(){return a._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(Ue))}))}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let rt=null;function St(){return rt||(rt=new Ae),rt}class Tt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;B<this.fadeEndTime||(this.fadeEndTime=B)}wasRequested(){return this.state===\"errored\"||this.state===\"loaded\"||this.state===\"reloading\"}clearTextures(w){this.demTexture&&w.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(w,B,Q){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",w){w.featureIndex&&(this.latestFeatureIndex=w.featureIndex,w.rawTileData?(this.latestRawTileData=w.rawTileData,this.latestFeatureIndex.rawTileData=w.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=w.collisionBoxArray,this.buckets=(function(ee,le){let Fe={};if(!le)return Fe;for(let Ze of ee){let ut=Ze.layerIds.map((Mt=>le.getLayer(Mt))).filter(Boolean);if(ut.length!==0){Ze.layers=ut,Ze.stateDependentLayerIds&&(Ze.stateDependentLayers=Ze.stateDependentLayerIds.map((Mt=>ut.filter((Jt=>Jt.id===Mt))[0])));for(let Mt of ut)Fe[Mt.id]=Ze}}return Fe})(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;le.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let le=this.buckets[ee];if(le instanceof a.a6&&le.hasRTLText){this.hasRTLText=!0,St().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let le=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(le))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new g(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new g(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:le,scale:Fe,tileSize:this.tileSize,pixelPosMatrix:Jt,transform:ut,params:Ze,queryPadding:this.queryPadding*Mt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),le=B&&B.sourceLayer?B.sourceLayer:\"\",Fe=ee._geojsonTileLayer||ee[le];if(!Fe)return;let Ze=a.a7(B&&B.filter),{z:ut,x:Mt,y:Jt}=this.tileID.canonical,$t={z:ut,x:Mt,y:Jt};for(let yr=0;yr<Fe.length;yr++){let Cr=Fe.feature(yr);if(Ze.needGeometry){let Ie=a.a8(Cr,!0);if(!Ze.filter(new a.z(this.tileID.overscaledZ),Ie,this.tileID.canonical))continue}else if(!Ze.filter(new a.z(this.tileID.overscaledZ),Cr))continue;let ve=Q.getId(Cr,le),xe=new a.a9(Cr,ut,Mt,Jt,ve);xe.tile=$t,w.push(xe)}}hasData(){return this.state===\"loaded\"||this.state===\"reloading\"||this.state===\"expired\"}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(w){let B=this.expirationTime;if(w.cacheControl){let Q=a.aa(w.cacheControl);Q[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*Q[\"max-age\"])}else w.expires&&(this.expirationTime=new Date(w.expires).getTime());if(this.expirationTime){let Q=Date.now(),ee=!1;if(this.expirationTime>Q)ee=!1;else if(B)if(this.expirationTime<B)ee=!0;else{let le=this.expirationTime-B;le?this.expirationTime=Q+Math.max(le,3e4):ee=!0}else ee=!0;ee?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-new Date().getTime(),Math.pow(2,31)-1)}setFeatureState(w,B){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||Object.keys(w).length===0)return;let Q=this.latestFeatureIndex.loadVTLayers();for(let ee in this.buckets){if(!B.style.hasLayer(ee))continue;let le=this.buckets[ee],Fe=le.layers[0].sourceLayer||\"_geojsonTileLayer\",Ze=Q[Fe],ut=w[Fe];if(!Ze||!ut||Object.keys(ut).length===0)continue;le.update(ut,Ze,this.imageAtlas&&this.imageAtlas.patternPositions||{});let Mt=B&&B.style&&B.style.getLayer(ee);Mt&&(this.queryPadding=Math.max(this.queryPadding,Mt.queryRadius(le)))}}holdingForFade(){return this.symbolFadeHoldUntil!==void 0}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<u.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(w){this.symbolFadeHoldUntil=u.now()+w}setDependencies(w,B){let Q={};for(let ee of B)Q[ee]=!0;this.dependencies[w]=Q}hasDependency(w,B){for(let Q of w){let ee=this.dependencies[Q];if(ee){for(let le of B)if(ee[le])return!0}}return!1}}class dt{constructor(w,B){this.max=w,this.onRemove=B,this.reset()}reset(){for(let w in this.data)for(let B of this.data[w])B.timeout&&clearTimeout(B.timeout),this.onRemove(B.value);return this.data={},this.order=[],this}add(w,B,Q){let ee=w.wrapped().key;this.data[ee]===void 0&&(this.data[ee]=[]);let le={value:B,timeout:void 0};if(Q!==void 0&&(le.timeout=setTimeout((()=>{this.remove(w,le)}),Q)),this.data[ee].push(le),this.order.push(ee),this.order.length>this.max){let Fe=this._getAndRemoveByKey(this.order[0]);Fe&&this.onRemove(Fe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),le=this.data[Q][ee];return this.data[Q].splice(ee,1),le.timeout&&clearTimeout(le.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(le.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class Et{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let le in this.state[w])le!==ee&&(this.deletedStates[w][le]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let le in this.state[w][ee])Q[le]||(this.deletedStates[w][ee][le]=null)}else for(let le in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][le]===null&&delete this.deletedStates[w][ee][le]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let le=this.deletedStates[w][B];if(le===null)return{};for(let Fe in le)delete ee[Fe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let le={};for(let Fe in this.stateChanges[ee])this.state[ee][Fe]||(this.state[ee][Fe]={}),a.e(this.state[ee][Fe],this.stateChanges[ee][Fe]),le[Fe]=this.state[ee][Fe];Q[ee]=le}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let le={};if(this.deletedStates[ee]===null)for(let Fe in this.state[ee])le[Fe]={},this.state[ee][Fe]={};else for(let Fe in this.deletedStates[ee]){if(this.deletedStates[ee][Fe]===null)this.state[ee][Fe]={};else for(let Ze of Object.keys(this.deletedStates[ee][Fe]))delete this.state[ee][Fe][Ze];le[Fe]=this.state[ee][Fe]}Q[ee]=Q[ee]||{},a.e(Q[ee],le)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class pt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",(ee=>this._dataHandler(ee))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((ee,le,Fe,Ze)=>{let ut=new(je(le.type))(ee,le,Fe,Ze);if(ut.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${ut.id}`);return ut})(w,B,Q,this),this._tiles={},this._cache=new dt(0,(ee=>this._unloadTile(ee))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Et,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}}))}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((w=>w.tileID)).sort(jt).map((w=>w.key))}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort(((Q,ee)=>{let le=Q.tileID,Fe=ee.tileID,Ze=new a.P(le.canonical.x,le.canonical.y)._rotate(this.transform.angle),ut=new a.P(Fe.canonical.x,Fe.canonical.y)._rotate(this.transform.angle);return le.overscaledZ-Fe.overscaledZ||ut.y-Ze.y||ut.x-Ze.x})).map((Q=>Q.tileID.key)):B.map((Q=>Q.tileID)).sort(jt).map((Q=>Q.key))}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,(function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))}))}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee<B.length;ee++){let le=B[ee];if(w.neighboringTiles&&w.neighboringTiles[le]){let Fe=this.getTileByID(le);Q(w,Fe),Q(Fe,w)}}function Q(ee,le){ee.needsHillshadePrepare=!0,ee.needsTerrainPrepare=!0;let Fe=le.tileID.canonical.x-ee.tileID.canonical.x,Ze=le.tileID.canonical.y-ee.tileID.canonical.y,ut=Math.pow(2,ee.tileID.canonical.z),Mt=le.tileID.key;Fe===0&&Ze===0||Math.abs(Ze)>1||(Math.abs(Fe)>1&&(Math.abs(Fe+ut)===1?Fe+=ut:Math.abs(Fe-ut)===1&&(Fe-=ut)),le.dem&&ee.dem&&(ee.dem.backfillBorder(le.dem,Fe,Ze),ee.neighboringTiles&&ee.neighboringTiles[Mt]&&(ee.neighboringTiles[Mt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let le in this._tiles){let Fe=this._tiles[le];if(ee[le]||!Fe.hasData()||Fe.tileID.overscaledZ<=B||Fe.tileID.overscaledZ>Q)continue;let Ze=Fe.tileID;for(;Fe&&Fe.tileID.overscaledZ>B+1;){let Mt=Fe.tileID.scaledTo(Fe.tileID.overscaledZ-1);Fe=this._tiles[Mt.key],Fe&&Fe.hasData()&&(Ze=Mt)}let ut=Ze;for(;ut.overscaledZ>B;)if(ut=ut.scaledTo(ut.overscaledZ-1),w[ut.key]){ee[Ze.key]=Ze;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),le=this._getLoadedTile(ee);if(le)return le}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),le=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(le)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let le=this._tiles[ee];le.tileID=le.tileID.unwrapTo(le.tileID.wrap+B),Q[le.tileID.key]=le}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,le,Fe){let Ze={},ut={},Mt=Object.keys(w),Jt=u.now();for(let $t of Mt){let yr=w[$t],Cr=this._tiles[$t];if(!Cr||Cr.fadeEndTime!==0&&Cr.fadeEndTime<=Jt)continue;let ve=this.findLoadedParent(yr,B),xe=this.findLoadedSibling(yr),Ie=ve||xe||null;Ie&&(this._addTile(Ie.tileID),Ze[Ie.tileID.key]=Ie.tileID),ut[$t]=yr}this._retainLoadedChildren(ut,ee,Q,w);for(let $t in Ze)w[$t]||(this._coveredTiles[$t]=!0,w[$t]=Ze[$t]);if(Fe){let $t={},yr={};for(let Cr of le)this._tiles[Cr.key].hasData()?$t[Cr.key]=Cr:yr[Cr.key]=Cr;for(let Cr in yr){let ve=yr[Cr].children(this._source.maxzoom);this._tiles[ve[0].key]&&this._tiles[ve[1].key]&&this._tiles[ve[2].key]&&this._tiles[ve[3].key]&&($t[ve[0].key]=w[ve[0].key]=ve[0],$t[ve[1].key]=w[ve[1].key]=ve[1],$t[ve[2].key]=w[ve[2].key]=ve[2],$t[ve[3].key]=w[ve[3].key]=ve[3],delete yr[Cr])}for(let Cr in yr){let ve=yr[Cr],xe=this.findLoadedParent(ve,this._source.minzoom),Ie=this.findLoadedSibling(ve),ze=xe||Ie||null;if(ze){$t[ze.tileID.key]=w[ze.tileID.key]=ze.tileID;for(let Qe in $t)$t[Qe].isChildOf(ze.tileID)&&delete $t[Qe]}}for(let Cr in this._tiles)$t[Cr]||(this._coveredTiles[Cr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map((Jt=>new a.S(Jt.canonical.z,Jt.wrap,Jt.canonical.z,Jt.canonical.x,Jt.canonical.y))):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter((Jt=>this._source.hasTile(Jt))))):Q=[];let ee=w.coveringZoomLevel(this._source),le=Math.max(ee-pt.maxOverzooming,this._source.minzoom),Fe=Math.max(ee+pt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Jt={};for(let $t of Q)if($t.canonical.z>this._source.minzoom){let yr=$t.scaledTo($t.canonical.z-1);Jt[yr.key]=yr;let Cr=$t.scaledTo(Math.max(this._source.minzoom,Math.min($t.canonical.z,5)));Jt[Cr.key]=Cr}Q=Q.concat(Object.values(Jt))}let Ze=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,Ze&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let ut=this._updateRetainedTiles(Q,ee);or(this._source.type)&&this._updateCoveredAndRetainedTiles(ut,le,Fe,ee,Q,B);for(let Jt in ut)this._tiles[Jt].clearFadeHold();let Mt=a.ab(this._tiles,ut);for(let Jt of Mt){let $t=this._tiles[Jt];$t.hasSymbolBuckets&&!$t.holdingForFade()?$t.setHoldDuration(this.map._fadeDuration):$t.hasSymbolBuckets&&!$t.symbolFadeFinished()||this._removeTile(Jt)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},le={},Fe=Math.max(B-pt.maxOverzooming,this._source.minzoom),Ze=Math.max(B+pt.maxUnderzooming,this._source.minzoom),ut={};for(let Mt of w){let Jt=this._addTile(Mt);ee[Mt.key]=Mt,Jt.hasData()||B<this._source.maxzoom&&(ut[Mt.key]=Mt)}this._retainLoadedChildren(ut,B,Ze,ee);for(let Mt of w){let Jt=this._tiles[Mt.key];if(Jt.hasData())continue;if(B+1>this._source.maxzoom){let yr=Mt.children(this._source.maxzoom)[0],Cr=this.getTile(yr);if(Cr&&Cr.hasData()){ee[yr.key]=yr;continue}}else{let yr=Mt.children(this._source.maxzoom);if(ee[yr[0].key]&&ee[yr[1].key]&&ee[yr[2].key]&&ee[yr[3].key])continue}let $t=Jt.wasRequested();for(let yr=Mt.overscaledZ-1;yr>=Fe;--yr){let Cr=Mt.scaledTo(yr);if(le[Cr.key])break;if(le[Cr.key]=!0,Jt=this.getTile(Cr),!Jt&&$t&&(Jt=this._addTile(Cr)),Jt){let ve=Jt.hasData();if((ve||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||$t)&&(ee[Cr.key]=Cr),$t=Jt.wasRequested(),ve)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let le=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(le),Q)break;ee=le}for(let le of B)this._loadedParentTiles[le]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Tt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout((()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]}),Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],le=this.transform;if(!le)return ee;let Fe=Q?le.getCameraQueryGeometry(w):w,Ze=w.map((ve=>le.pointCoordinate(ve,this.terrain))),ut=Fe.map((ve=>le.pointCoordinate(ve,this.terrain))),Mt=this.getIds(),Jt=1/0,$t=1/0,yr=-1/0,Cr=-1/0;for(let ve of ut)Jt=Math.min(Jt,ve.x),$t=Math.min($t,ve.y),yr=Math.max(yr,ve.x),Cr=Math.max(Cr,ve.y);for(let ve=0;ve<Mt.length;ve++){let xe=this._tiles[Mt[ve]];if(xe.holdingForFade())continue;let Ie=xe.tileID,ze=Math.pow(2,le.zoom-xe.tileID.overscaledZ),Qe=B*xe.queryPadding*a.X/xe.tileSize/ze,Xe=[Ie.getTilePoint(new a.Z(Jt,$t)),Ie.getTilePoint(new a.Z(yr,Cr))];if(Xe[0].x-Qe<a.X&&Xe[0].y-Qe<a.X&&Xe[1].x+Qe>=0&&Xe[1].y+Qe>=0){let nt=Ze.map((Wt=>Ie.getTilePoint(Wt))),qt=ut.map((Wt=>Ie.getTilePoint(Wt)));ee.push({tile:xe,tileID:Ie,queryGeometry:nt,cameraQueryGeometry:qt,scale:ze})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map((Q=>this._tiles[Q].tileID));for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if(or(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter((Q=>!Q.hasDependency(w,B)))}}function jt(ue,w){let B=Math.abs(2*ue.wrap)-+(ue.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return ue.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-ue.canonical.y||w.canonical.x-ue.canonical.x}function or(ue){return ue===\"raster\"||ue===\"image\"||ue===\"video\"}pt.maxOverzooming=10,pt.maxUnderzooming=3;class mr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q<this.points.length;Q++)this._distances[Q]=this._distances[Q-1]+this.points[Q].dist(this.points[Q-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(B||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(w){if(this.points.length===1)return this.points[0];w=a.ac(w,0,1);let B=1,Q=this._distances[B],ee=w*this.paddedLength+this.padding;for(;Q<ee&&B<this._distances.length;)Q=this._distances[++B];let le=B-1,Fe=this._distances[le],Ze=Q-Fe,ut=Ze>0?(ee-Fe)/Ze:0;return this.points[le].mult(1-ut).add(this.points[B].mult(ut))}}function Ar(ue,w){let B=!0;return ue===\"always\"||ue!==\"never\"&&w!==\"never\"||(B=!1),B}class ei{constructor(w,B,Q){let ee=this.boxCells=[],le=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let Fe=0;Fe<this.xCellCount*this.yCellCount;Fe++)ee.push([]),le.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=w,this.height=B,this.xScale=this.xCellCount/w,this.yScale=this.yCellCount/B,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(w,B,Q,ee,le){this._forEachCell(B,Q,ee,le,this._insertBoxCell,this.boxUid++),this.boxKeys.push(w),this.bboxes.push(B),this.bboxes.push(Q),this.bboxes.push(ee),this.bboxes.push(le)}insertCircle(w,B,Q,ee){this._forEachCell(B-ee,Q-ee,B+ee,Q+ee,this._insertCircleCell,this.circleUid++),this.circleKeys.push(w),this.circles.push(B),this.circles.push(Q),this.circles.push(ee)}_insertBoxCell(w,B,Q,ee,le,Fe){this.boxCells[le].push(Fe)}_insertCircleCell(w,B,Q,ee,le,Fe){this.circleCells[le].push(Fe)}_query(w,B,Q,ee,le,Fe,Ze){if(Q<0||w>this.width||ee<0||B>this.height)return[];let ut=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(le)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let Mt=0;Mt<this.boxKeys.length;Mt++)ut.push({key:this.boxKeys[Mt],x1:this.bboxes[4*Mt],y1:this.bboxes[4*Mt+1],x2:this.bboxes[4*Mt+2],y2:this.bboxes[4*Mt+3]});for(let Mt=0;Mt<this.circleKeys.length;Mt++){let Jt=this.circles[3*Mt],$t=this.circles[3*Mt+1],yr=this.circles[3*Mt+2];ut.push({key:this.circleKeys[Mt],x1:Jt-yr,y1:$t-yr,x2:Jt+yr,y2:$t+yr})}}else this._forEachCell(w,B,Q,ee,this._queryCell,ut,{hitTest:le,overlapMode:Fe,seenUids:{box:{},circle:{}}},Ze);return ut}query(w,B,Q,ee){return this._query(w,B,Q,ee,!1,null)}hitTest(w,B,Q,ee,le,Fe){return this._query(w,B,Q,ee,!0,le,Fe).length>0}hitTestCircle(w,B,Q,ee,le){let Fe=w-Q,Ze=w+Q,ut=B-Q,Mt=B+Q;if(Ze<0||Fe>this.width||Mt<0||ut>this.height)return!1;let Jt=[];return this._forEachCell(Fe,ut,Ze,Mt,this._queryCellCircle,Jt,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},le),Jt.length>0}_queryCell(w,B,Q,ee,le,Fe,Ze,ut){let{seenUids:Mt,hitTest:Jt,overlapMode:$t}=Ze,yr=this.boxCells[le];if(yr!==null){let ve=this.bboxes;for(let xe of yr)if(!Mt.box[xe]){Mt.box[xe]=!0;let Ie=4*xe,ze=this.boxKeys[xe];if(w<=ve[Ie+2]&&B<=ve[Ie+3]&&Q>=ve[Ie+0]&&ee>=ve[Ie+1]&&(!ut||ut(ze))&&(!Jt||!Ar($t,ze.overlapMode))&&(Fe.push({key:ze,x1:ve[Ie],y1:ve[Ie+1],x2:ve[Ie+2],y2:ve[Ie+3]}),Jt))return!0}}let Cr=this.circleCells[le];if(Cr!==null){let ve=this.circles;for(let xe of Cr)if(!Mt.circle[xe]){Mt.circle[xe]=!0;let Ie=3*xe,ze=this.circleKeys[xe];if(this._circleAndRectCollide(ve[Ie],ve[Ie+1],ve[Ie+2],w,B,Q,ee)&&(!ut||ut(ze))&&(!Jt||!Ar($t,ze.overlapMode))){let Qe=ve[Ie],Xe=ve[Ie+1],nt=ve[Ie+2];if(Fe.push({key:ze,x1:Qe-nt,y1:Xe-nt,x2:Qe+nt,y2:Xe+nt}),Jt)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,le,Fe,Ze,ut){let{circle:Mt,seenUids:Jt,overlapMode:$t}=Ze,yr=this.boxCells[le];if(yr!==null){let ve=this.bboxes;for(let xe of yr)if(!Jt.box[xe]){Jt.box[xe]=!0;let Ie=4*xe,ze=this.boxKeys[xe];if(this._circleAndRectCollide(Mt.x,Mt.y,Mt.radius,ve[Ie+0],ve[Ie+1],ve[Ie+2],ve[Ie+3])&&(!ut||ut(ze))&&!Ar($t,ze.overlapMode))return Fe.push(!0),!0}}let Cr=this.circleCells[le];if(Cr!==null){let ve=this.circles;for(let xe of Cr)if(!Jt.circle[xe]){Jt.circle[xe]=!0;let Ie=3*xe,ze=this.circleKeys[xe];if(this._circlesCollide(ve[Ie],ve[Ie+1],ve[Ie+2],Mt.x,Mt.y,Mt.radius)&&(!ut||ut(ze))&&!Ar($t,ze.overlapMode))return Fe.push(!0),!0}}}_forEachCell(w,B,Q,ee,le,Fe,Ze,ut){let Mt=this._convertToXCellCoord(w),Jt=this._convertToYCellCoord(B),$t=this._convertToXCellCoord(Q),yr=this._convertToYCellCoord(ee);for(let Cr=Mt;Cr<=$t;Cr++)for(let ve=Jt;ve<=yr;ve++)if(le.call(this,w,B,Q,ee,this.xCellCount*ve+Cr,Fe,Ze,ut))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,le,Fe){let Ze=ee-w,ut=le-B,Mt=Q+Fe;return Mt*Mt>Ze*Ze+ut*ut}_circleAndRectCollide(w,B,Q,ee,le,Fe,Ze){let ut=(Fe-ee)/2,Mt=Math.abs(w-(ee+ut));if(Mt>ut+Q)return!1;let Jt=(Ze-le)/2,$t=Math.abs(B-(le+Jt));if($t>Jt+Q)return!1;if(Mt<=ut||$t<=Jt)return!0;let yr=Mt-ut,Cr=$t-Jt;return yr*yr+Cr*Cr<=Q*Q}}function qr(ue,w,B,Q,ee){let le=a.H();return w?(a.K(le,le,[1/ee,1/ee,1]),B||a.ad(le,le,Q.angle)):a.L(le,Q.labelPlaneMatrix,ue),le}function jr(ue,w,B,Q,ee){if(w){let le=a.ae(ue);return a.K(le,le,[ee,ee,1]),B||a.ad(le,le,-Q.angle),le}return Q.glCoordMatrix}function gt(ue,w,B,Q){let ee;Q?(ee=[ue,w,Q(ue,w),1],a.af(ee,ee,B)):(ee=[ue,w,0,1],ai(ee,ee,B));let le=ee[3];return{point:new a.P(ee[0]/le,ee[1]/le),signedDistanceFromCamera:le,isOccluded:!1}}function Ge(ue,w){return .5+ue/w*.5}function Je(ue,w){return ue.x>=-w[0]&&ue.x<=w[0]&&ue.y>=-w[1]&&ue.y<=w[1]}function We(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve){let xe=Q?ue.textSizeData:ue.iconSizeData,Ie=a.ag(xe,B.transform.zoom),ze=[256/B.width*2+1,256/B.height*2+1],Qe=Q?ue.text.dynamicLayoutVertexArray:ue.icon.dynamicLayoutVertexArray;Qe.clear();let Xe=ue.lineVertexArray,nt=Q?ue.text.placedSymbolArray:ue.icon.placedSymbolArray,qt=B.transform.width/B.transform.height,Wt=!1;for(let nr=0;nr<nt.length;nr++){let fr=nt.get(nr);if(fr.hidden||fr.writingMode===a.ah.vertical&&!Wt){Pi(fr.numGlyphs,Qe);continue}Wt=!1;let br=gt(fr.anchorX,fr.anchorY,w,ve);if(!Je(br.point,ze)){Pi(fr.numGlyphs,Qe);continue}let Fr=Ge(B.transform.cameraToCenterDistance,br.signedDistanceFromCamera),Hr=a.ai(xe,Ie,fr),ri=Fe?Hr/Fr:Hr*Fr,Ci={getElevation:ve,labelPlaneMatrix:ee,lineVertexArray:Xe,pitchWithMap:Fe,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:Mt,tileAnchorPoint:new a.P(fr.anchorX,fr.anchorY),unwrappedTileID:Jt,width:$t,height:yr,translation:Cr},cn=At(Ci,fr,ri,!1,Ze,w,le,ue.glyphOffsetArray,Qe,qt,ut);Wt=cn.useVertical,(cn.notEnoughRoom||Wt||cn.needsFlipping&&At(Ci,fr,ri,!0,Ze,w,le,ue.glyphOffsetArray,Qe,qt,ut).notEnoughRoom)&&Pi(fr.numGlyphs,Qe)}Q?ue.text.dynamicLayoutVertexBuffer.updateData(Qe):ue.icon.dynamicLayoutVertexBuffer.updateData(Qe)}function et(ue,w,B,Q,ee,le,Fe,Ze){let ut=le.glyphStartIndex+le.numGlyphs,Mt=le.lineStartIndex,Jt=le.lineStartIndex+le.lineLength,$t=w.getoffsetX(le.glyphStartIndex),yr=w.getoffsetX(ut-1),Cr=Yr(ue*$t,B,Q,ee,le.segment,Mt,Jt,Ze,Fe);if(!Cr)return null;let ve=Yr(ue*yr,B,Q,ee,le.segment,Mt,Jt,Ze,Fe);return ve?Ze.projectionCache.anyProjectionOccluded?null:{first:Cr,last:ve}:null}function xt(ue,w,B,Q){return ue===a.ah.horizontal&&Math.abs(B.y-w.y)>Math.abs(B.x-w.x)*Q?{useVertical:!0}:(ue===a.ah.vertical?w.y<B.y:w.x>B.x)?{needsFlipping:!0}:null}function At(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){let $t=B/24,yr=w.lineOffsetX*$t,Cr=w.lineOffsetY*$t,ve;if(w.numGlyphs>1){let xe=w.glyphStartIndex+w.numGlyphs,Ie=w.lineStartIndex,ze=w.lineStartIndex+w.lineLength,Qe=et($t,Ze,yr,Cr,Q,w,Jt,ue);if(!Qe)return{notEnoughRoom:!0};let Xe=gt(Qe.first.point.x,Qe.first.point.y,Fe,ue.getElevation).point,nt=gt(Qe.last.point.x,Qe.last.point.y,Fe,ue.getElevation).point;if(ee&&!Q){let qt=xt(w.writingMode,Xe,nt,Mt);if(qt)return qt}ve=[Qe.first];for(let qt=w.glyphStartIndex+1;qt<xe-1;qt++)ve.push(Yr($t*Ze.getoffsetX(qt),yr,Cr,Q,w.segment,Ie,ze,ue,Jt));ve.push(Qe.last)}else{if(ee&&!Q){let Ie=gt(ue.tileAnchorPoint.x,ue.tileAnchorPoint.y,le,ue.getElevation).point,ze=w.lineStartIndex+w.segment+1,Qe=new a.P(ue.lineVertexArray.getx(ze),ue.lineVertexArray.gety(ze)),Xe=gt(Qe.x,Qe.y,le,ue.getElevation),nt=Xe.signedDistanceFromCamera>0?Xe.point:(function(Wt,nr,fr,br,Fr,Hr){return Kt(Wt,nr,fr,1,Fr,Hr)})(ue.tileAnchorPoint,Qe,Ie,0,le,ue),qt=xt(w.writingMode,Ie,nt,Mt);if(qt)return qt}let xe=Yr($t*Ze.getoffsetX(w.glyphStartIndex),yr,Cr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,ue,Jt);if(!xe||ue.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};ve=[xe]}for(let xe of ve)a.aj(ut,xe.point,xe.angle);return{}}function Kt(ue,w,B,Q,ee,le){let Fe=ue.add(ue.sub(w)._unit()),Ze=ee!==void 0?gt(Fe.x,Fe.y,ee,le.getElevation).point:Mr(Fe.x,Fe.y,le).point,ut=B.sub(Ze);return B.add(ut._mult(Q/ut.mag()))}function Qt(ue,w,B){let Q=w.projectionCache;if(Q.projections[ue])return Q.projections[ue];let ee=new a.P(w.lineVertexArray.getx(ue),w.lineVertexArray.gety(ue)),le=Mr(ee.x,ee.y,w);if(le.signedDistanceFromCamera>0)return Q.projections[ue]=le.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||le.isOccluded,le.point;let Fe=ue-B.direction;return(function(Ze,ut,Mt,Jt,$t){return Kt(Ze,ut,Mt,Jt,void 0,$t)})(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(Fe),w.lineVertexArray.gety(Fe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function Mr(ue,w,B){let Q=ue+B.translation[0],ee=w+B.translation[1],le;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(le=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),le.point.x=(.5*le.point.x+.5)*B.width,le.point.y=(.5*-le.point.y+.5)*B.height):(le=gt(Q,ee,B.labelPlaneMatrix,B.getElevation),le.isOccluded=!1),le}function Gr(ue,w,B){return ue._unit()._perp()._mult(w*B)}function Ir(ue,w,B,Q,ee,le,Fe,Ze,ut){if(Ze.projectionCache.offsets[ue])return Ze.projectionCache.offsets[ue];let Mt=B.add(w);if(ue+ut.direction<Q||ue+ut.direction>=ee)return Ze.projectionCache.offsets[ue]=Mt,Mt;let Jt=Qt(ue+ut.direction,Ze,ut),$t=Gr(Jt.sub(B),Fe,ut.direction),yr=B.add($t),Cr=Jt.add($t);return Ze.projectionCache.offsets[ue]=a.ak(le,Mt,yr,Cr)||Mt,Ze.projectionCache.offsets[ue]}function Yr(ue,w,B,Q,ee,le,Fe,Ze,ut){let Mt=Q?ue-w:ue+w,Jt=Mt>0?1:-1,$t=0;Q&&(Jt*=-1,$t=Math.PI),Jt<0&&($t+=Math.PI);let yr,Cr=Jt>0?le+ee:le+ee+1;Ze.projectionCache.cachedAnchorPoint?yr=Ze.projectionCache.cachedAnchorPoint:(yr=Mr(Ze.tileAnchorPoint.x,Ze.tileAnchorPoint.y,Ze).point,Ze.projectionCache.cachedAnchorPoint=yr);let ve,xe,Ie=yr,ze=yr,Qe=0,Xe=0,nt=Math.abs(Mt),qt=[],Wt;for(;Qe+Xe<=nt;){if(Cr+=Jt,Cr<le||Cr>=Fe)return null;Qe+=Xe,ze=Ie,xe=ve;let br={absOffsetX:nt,direction:Jt,distanceFromAnchor:Qe,previousVertex:ze};if(Ie=Qt(Cr,Ze,br),B===0)qt.push(ze),Wt=Ie.sub(ze);else{let Fr,Hr=Ie.sub(ze);Fr=Hr.mag()===0?Gr(Qt(Cr+Jt,Ze,br).sub(Ie),B,Jt):Gr(Hr,B,Jt),xe||(xe=ze.add(Fr)),ve=Ir(Cr,Fr,Ie,le,Fe,xe,B,Ze,br),qt.push(xe),Wt=ve.sub(xe)}Xe=Wt.mag()}let nr=Wt._mult((nt-Qe)/Xe)._add(xe||ze),fr=$t+Math.atan2(Ie.y-ze.y,Ie.x-ze.x);return qt.push(nr),{point:nr,angle:ut?fr:0,path:qt}}let _i=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Pi(ue,w){for(let B=0;B<ue;B++){let Q=w.length;w.resize(Q+4),w.float32.set(_i,3*Q)}}function ai(ue,w,B){let Q=w[0],ee=w[1];return ue[0]=B[0]*Q+B[4]*ee+B[12],ue[1]=B[1]*Q+B[5]*ee+B[13],ue[3]=B[3]*Q+B[7]*ee+B[15],ue}let mi=100;class un{constructor(w,B,Q=new ei(w.width+200,w.height+200,25),ee=new ei(w.width+200,w.height+200,25)){this.transform=w,this.mapProjection=B,this.grid=Q,this.ignoredGrid=ee,this.pitchFactor=Math.cos(w._pitch)*w.cameraToCenterDistance,this.screenRightBoundary=w.width+mi,this.screenBottomBoundary=w.height+mi,this.gridRightBoundary=w.width+200,this.gridBottomBoundary=w.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t){let yr=w.anchorPointX+ut[0],Cr=w.anchorPointY+ut[1],ve=this.projectAndGetPerspectiveRatio(ee,yr,Cr,le,Jt),xe=Q*ve.perspectiveRatio,Ie;if(Fe||Ze)Ie=this._projectCollisionBox(w,xe,ee,le,Fe,Ze,ut,ve,Jt,$t);else{let qt=ve.point.x+($t?$t.x*xe:0),Wt=ve.point.y+($t?$t.y*xe:0);Ie={allPointsOccluded:!1,box:[qt+w.x1*xe,Wt+w.y1*xe,qt+w.x2*xe,Wt+w.y2*xe]}}let[ze,Qe,Xe,nt]=Ie.box;return this.mapProjection.useSpecialProjectionForSymbols&&(Fe?Ie.allPointsOccluded:this.mapProjection.isOccluded(yr,Cr,le))||ve.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(ze,Qe,Xe,nt)||B!==\"always\"&&this.grid.hitTest(ze,Qe,Xe,nt,B,Mt)?{box:[ze,Qe,Xe,nt],placeable:!1,offscreen:!1}:{box:[ze,Qe,Xe,nt],placeable:!0,offscreen:this.isOffscreen(ze,Qe,Xe,nt)}}placeCollisionCircles(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie){let ze=[],Qe=new a.P(B.anchorX,B.anchorY),Xe=this.getPerspectiveRatio(Fe,Qe.x,Qe.y,Ze,Ie),nt=($t?le/Xe:le*Xe)/a.ap,qt={getElevation:Ie,labelPlaneMatrix:ut,lineVertexArray:Q,pitchWithMap:$t,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:Qe,unwrappedTileID:Ze,width:this.transform.width,height:this.transform.height,translation:xe},Wt=et(nt,ee,B.lineOffsetX*nt,B.lineOffsetY*nt,!1,B,!1,qt),nr=!1,fr=!1,br=!0;if(Wt){let Fr=.5*Cr*Xe+ve,Hr=new a.P(-100,-100),ri=new a.P(this.screenRightBoundary,this.screenBottomBoundary),Ci=new mr,cn=Wt.first,sn=Wt.last,Ln=[];for(let fa=cn.path.length-1;fa>=1;fa--)Ln.push(cn.path[fa]);for(let fa=1;fa<sn.path.length;fa++)Ln.push(sn.path[fa]);let Kn=2.5*Fr;if(Mt){let fa=this.projectPathToScreenSpace(Ln,qt,Mt);Ln=fa.some(($a=>$a.signedDistanceFromCamera<=0))?[]:fa.map(($a=>$a.point))}let Aa=[];if(Ln.length>0){let fa=Ln[0].clone(),$a=Ln[0].clone();for(let Co=1;Co<Ln.length;Co++)fa.x=Math.min(fa.x,Ln[Co].x),fa.y=Math.min(fa.y,Ln[Co].y),$a.x=Math.max($a.x,Ln[Co].x),$a.y=Math.max($a.y,Ln[Co].y);Aa=fa.x>=Hr.x&&$a.x<=ri.x&&fa.y>=Hr.y&&$a.y<=ri.y?[Ln]:$a.x<Hr.x||fa.x>ri.x||$a.y<Hr.y||fa.y>ri.y?[]:a.al([Ln],Hr.x,Hr.y,ri.x,ri.y)}for(let fa of Aa){Ci.reset(fa,.25*Fr);let $a=0;$a=Ci.length<=.5*Fr?1:Math.ceil(Ci.paddedLength/Kn)+1;for(let Co=0;Co<$a;Co++){let Qa=Co/Math.max($a-1,1),mo=Ci.lerp(Qa),Bo=mo.x+mi,Ps=mo.y+mi;ze.push(Bo,Ps,Fr,0);let Ts=Bo-Fr,wo=Ps-Fr,To=Bo+Fr,hl=Ps+Fr;if(br=br&&this.isOffscreen(Ts,wo,To,hl),fr=fr||this.isInsideGrid(Ts,wo,To,hl),w!==\"always\"&&this.grid.hitTestCircle(Bo,Ps,Fr,w,yr)&&(nr=!0,!Jt))return{circles:[],offscreen:!1,collisionDetected:nr}}}}return{circles:!Jt&&nr||!fr||Xe<this.perspectiveRatioCutoff?[]:ze,offscreen:br,collisionDetected:nr}}projectPathToScreenSpace(w,B,Q){return w.map((ee=>gt(ee.x,ee.y,Q,B.getElevation)))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,le=-1/0,Fe=-1/0;for(let Jt of w){let $t=new a.P(Jt.x+mi,Jt.y+mi);Q=Math.min(Q,$t.x),ee=Math.min(ee,$t.y),le=Math.max(le,$t.x),Fe=Math.max(Fe,$t.y),B.push($t)}let Ze=this.grid.query(Q,ee,le,Fe).concat(this.ignoredGrid.query(Q,ee,le,Fe)),ut={},Mt={};for(let Jt of Ze){let $t=Jt.key;if(ut[$t.bucketInstanceId]===void 0&&(ut[$t.bucketInstanceId]={}),ut[$t.bucketInstanceId][$t.featureIndex])continue;let yr=[new a.P(Jt.x1,Jt.y1),new a.P(Jt.x2,Jt.y1),new a.P(Jt.x2,Jt.y2),new a.P(Jt.x1,Jt.y2)];a.am(B,yr)&&(ut[$t.bucketInstanceId][$t.featureIndex]=!0,Mt[$t.bucketInstanceId]===void 0&&(Mt[$t.bucketInstanceId]=[]),Mt[$t.bucketInstanceId].push($t.featureIndex))}return Mt}insertCollisionBox(w,B,Q,ee,le,Fe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:le,collisionGroupID:Fe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,le,Fe){let Ze=Q?this.ignoredGrid:this.grid,ut={bucketInstanceId:ee,featureIndex:le,collisionGroupID:Fe,overlapMode:B};for(let Mt=0;Mt<w.length;Mt+=4)Ze.insertCircle(ut,w[Mt],w[Mt+1],w[Mt+2])}projectAndGetPerspectiveRatio(w,B,Q,ee,le){let Fe;le?(Fe=[B,Q,le(B,Q),1],a.af(Fe,Fe,w)):(Fe=[B,Q,0,1],ai(Fe,Fe,w));let Ze=Fe[3];return{point:new a.P((Fe[0]/Ze+1)/2*this.transform.width+mi,(-Fe[1]/Ze+1)/2*this.transform.height+mi),perspectiveRatio:.5+this.transform.cameraToCenterDistance/Ze*.5,isOccluded:!1,signedDistanceFromCamera:Ze}}getPerspectiveRatio(w,B,Q,ee,le){let Fe=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(B,Q,ee,le):gt(B,Q,w,le);return .5+this.transform.cameraToCenterDistance/Fe.signedDistanceFromCamera*.5}isOffscreen(w,B,Q,ee){return Q<mi||w>=this.screenRightBoundary||ee<mi||B>this.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w<this.gridRightBoundary&&ee>=0&&B<this.gridBottomBoundary}getViewportMatrix(){let w=a.an([]);return a.J(w,w,[-100,-100,0]),w}_projectCollisionBox(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt){let $t=new a.P(1,0),yr=new a.P(0,1),Cr=new a.P(w.anchorPointX+Ze[0],w.anchorPointY+Ze[1]);if(Fe&&!le){let br=this.projectAndGetPerspectiveRatio(Q,Cr.x+1,Cr.y,ee,Mt).point.sub(ut.point).unit(),Fr=Math.atan(br.y/br.x)+(br.x<0?Math.PI:0),Hr=Math.sin(Fr),ri=Math.cos(Fr);$t=new a.P(ri,Hr),yr=new a.P(-Hr,ri)}else if(!Fe&&le){let br=-this.transform.angle,Fr=Math.sin(br),Hr=Math.cos(br);$t=new a.P(Hr,Fr),yr=new a.P(-Fr,Hr)}let ve=ut.point,xe=B;if(le){ve=Cr;let br=this.transform.zoom-Math.floor(this.transform.zoom);xe=Math.pow(2,-br),xe*=this.mapProjection.getPitchedTextCorrection(this.transform,Cr,ee),Jt||(xe*=a.ac(.5+ut.signedDistanceFromCamera/this.transform.cameraToCenterDistance*.5,0,4))}Jt&&(ve=ve.add($t.mult(Jt.x*xe)).add(yr.mult(Jt.y*xe)));let Ie=w.x1*xe,ze=w.x2*xe,Qe=(Ie+ze)/2,Xe=w.y1*xe,nt=w.y2*xe,qt=(Xe+nt)/2,Wt=[{offsetX:Ie,offsetY:Xe},{offsetX:Qe,offsetY:Xe},{offsetX:ze,offsetY:Xe},{offsetX:ze,offsetY:qt},{offsetX:ze,offsetY:nt},{offsetX:Qe,offsetY:nt},{offsetX:Ie,offsetY:nt},{offsetX:Ie,offsetY:qt}],nr=[];for(let{offsetX:br,offsetY:Fr}of Wt)nr.push(new a.P(ve.x+$t.x*br+yr.x*Fr,ve.y+$t.y*br+yr.y*Fr));let fr=!1;if(le){let br=nr.map((Fr=>this.projectAndGetPerspectiveRatio(Q,Fr.x,Fr.y,ee,Mt)));fr=br.some((Fr=>!Fr.isOccluded)),nr=br.map((Fr=>Fr.point))}else fr=!0;return{box:a.ao(nr),allPointsOccluded:!fr}}}function Fn(ue,w,B){return w*(a.X/(ue.tileSize*Math.pow(2,B-ue.tileID.overscaledZ)))}class An{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class Hn{constructor(w,B,Q,ee,le){this.text=new An(w?w.text:null,B,Q,le),this.icon=new An(w?w.icon:null,B,ee,le)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Qn{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class Vi{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class Jn{constructor(w,B,Q,ee,le){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=le}}class Yn{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function Gt(ue,w,B,Q,ee){let{horizontalAlign:le,verticalAlign:Fe}=a.au(ue);return new a.P(-(le-.5)*w+Q[0]*ee,-(Fe-.5)*B+Q[1]*ee)}class wt{constructor(w,B,Q,ee,le,Fe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new un(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new Yn(le),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=Fe,Fe&&(Fe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let le=Q.getBucket(B),Fe=Q.latestFeatureIndex;if(!le||!Fe||B.id!==le.layerIds[0])return;let Ze=Q.collisionBoxArray,ut=le.layers[0].layout,Mt=le.layers[0].paint,Jt=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),$t=Q.tileSize/a.X,yr=Q.tileID.toUnwrapped(),Cr=this.transform.calculatePosMatrix(yr),ve=ut.get(\"text-pitch-alignment\")===\"map\",xe=ut.get(\"text-rotation-alignment\")===\"map\",Ie=Fn(Q,1,this.transform.zoom),ze=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Mt.get(\"text-translate\"),Mt.get(\"text-translate-anchor\")),Qe=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,Mt.get(\"icon-translate\"),Mt.get(\"icon-translate-anchor\")),Xe=qr(Cr,ve,xe,this.transform,Ie),nt=null;if(ve){let Wt=jr(Cr,ve,xe,this.transform,Ie);nt=a.L([],this.transform.labelPlaneMatrix,Wt)}this.retainedQueryData[le.bucketInstanceId]=new Jn(le.bucketInstanceId,Fe,le.sourceLayerIndex,le.index,Q.tileID);let qt={bucket:le,layout:ut,translationText:ze,translationIcon:Qe,posMatrix:Cr,unwrappedTileID:yr,textLabelPlaneMatrix:Xe,labelToScreenMatrix:nt,scale:Jt,textPixelRatio:$t,holdingForFade:Q.holdingForFade(),collisionBoxArray:Ze,partiallyEvaluatedTextSize:a.ag(le.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(le.sourceID)};if(ee)for(let Wt of le.sortKeyRanges){let{sortKey:nr,symbolInstanceStart:fr,symbolInstanceEnd:br}=Wt;w.push({sortKey:nr,symbolInstanceStart:fr,symbolInstanceEnd:br,parameters:qt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:le.symbolInstances.length,parameters:qt})}attemptAnchorPlacement(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie,ze,Qe,Xe){let nt=a.aq[w.textAnchor],qt=[w.textOffset0,w.textOffset1],Wt=Gt(nt,Q,ee,qt,le),nr=this.collisionIndex.placeCollisionBox(B,yr,ut,Mt,Jt,Ze,Fe,Ie,$t.predicate,Xe,Wt);if((!Qe||this.collisionIndex.placeCollisionBox(Qe,yr,ut,Mt,Jt,Ze,Fe,ze,$t.predicate,Xe,Wt).placeable)&&nr.placeable){let fr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Cr.crossTileID]&&this.prevPlacement.placements[Cr.crossTileID]&&this.prevPlacement.placements[Cr.crossTileID].text&&(fr=this.prevPlacement.variableOffsets[Cr.crossTileID].anchor),Cr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Cr.crossTileID]={textOffset:qt,width:Q,height:ee,anchor:nt,textBoxScale:le,prevAnchor:fr},this.markUsedJustification(ve,nt,Cr,xe),ve.allowVerticalPlacement&&(this.markUsedOrientation(ve,xe,Cr),this.placedOrientations[Cr.crossTileID]=xe),{shift:Wt,placedGlyphBoxes:nr}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:le,translationText:Fe,translationIcon:Ze,posMatrix:ut,unwrappedTileID:Mt,textLabelPlaneMatrix:Jt,labelToScreenMatrix:$t,textPixelRatio:yr,holdingForFade:Cr,collisionBoxArray:ve,partiallyEvaluatedTextSize:xe,collisionGroup:Ie}=w.parameters,ze=le.get(\"text-optional\"),Qe=le.get(\"icon-optional\"),Xe=a.ar(le,\"text-overlap\",\"text-allow-overlap\"),nt=Xe===\"always\",qt=a.ar(le,\"icon-overlap\",\"icon-allow-overlap\"),Wt=qt===\"always\",nr=le.get(\"text-rotation-alignment\")===\"map\",fr=le.get(\"text-pitch-alignment\")===\"map\",br=le.get(\"icon-text-fit\")!==\"none\",Fr=le.get(\"symbol-z-order\")===\"viewport-y\",Hr=nt&&(Wt||!ee.hasIconData()||Qe),ri=Wt&&(nt||!ee.hasTextData()||ze);!ee.collisionArrays&&ve&&ee.deserializeCollisionBoxes(ve);let Ci=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),cn=(sn,Ln,Kn)=>{var Aa,fa;if(B[sn.crossTileID])return;if(Cr)return void(this.placements[sn.crossTileID]=new Qn(!1,!1,!1));let $a=!1,Co=!1,Qa=!0,mo=null,Bo={box:null,placeable:!1,offscreen:null},Ps={box:null,placeable:!1,offscreen:null},Ts=null,wo=null,To=null,hl=0,Nl=0,Lu=0;Ln.textFeatureIndex?hl=Ln.textFeatureIndex:sn.useRuntimeCollisionCircles&&(hl=sn.featureIndex),Ln.verticalTextFeatureIndex&&(Nl=Ln.verticalTextFeatureIndex);let au=Ln.textBox;if(au){let Al=Te=>{let qe=a.ah.horizontal;if(ee.allowVerticalPlacement&&!Te&&this.prevPlacement){let Ve=this.prevPlacement.placedOrientations[sn.crossTileID];Ve&&(this.placedOrientations[sn.crossTileID]=Ve,qe=Ve,this.markUsedOrientation(ee,qe,sn))}return qe},Sl=(Te,qe)=>{if(ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&Ln.verticalTextBox){for(let Ve of ee.writingModes)if(Ve===a.ah.vertical?(Bo=qe(),Ps=Bo):Bo=Te(),Bo&&Bo.placeable)break}else Bo=Te()},X=sn.textAnchorOffsetStartIndex,se=sn.textAnchorOffsetEndIndex;if(se===X){let Te=(qe,Ve)=>{let Ye=this.collisionIndex.placeCollisionBox(qe,Xe,yr,ut,Mt,fr,nr,Fe,Ie.predicate,Ci);return Ye&&Ye.placeable&&(this.markUsedOrientation(ee,Ve,sn),this.placedOrientations[sn.crossTileID]=Ve),Ye};Sl((()=>Te(au,a.ah.horizontal)),(()=>{let qe=Ln.verticalTextBox;return ee.allowVerticalPlacement&&sn.numVerticalGlyphVertices>0&&qe?Te(qe,a.ah.vertical):{box:null,offscreen:null}})),Al(Bo&&Bo.placeable)}else{let Te=a.aq[(fa=(Aa=this.prevPlacement)===null||Aa===void 0?void 0:Aa.variableOffsets[sn.crossTileID])===null||fa===void 0?void 0:fa.anchor],qe=(Ye,Pt,ot)=>{let Xt=Ye.x2-Ye.x1,dr=Ye.y2-Ye.y1,pr=sn.textBoxScale,Ur=br&&qt===\"never\"?Pt:null,zr=null,gi=Xe===\"never\"?1:2,xi=\"never\";Te&&gi++;for(let Wr=0;Wr<gi;Wr++){for(let ii=X;ii<se;ii++){let di=ee.textAnchorOffsets.get(ii);if(Te&&di.textAnchor!==Te)continue;let Li=this.attemptAnchorPlacement(di,Ye,Xt,dr,pr,nr,fr,yr,ut,Mt,Ie,xi,sn,ee,ot,Fe,Ze,Ur,Ci);if(Li&&(zr=Li.placedGlyphBoxes,zr&&zr.placeable))return $a=!0,mo=Li.shift,zr}Te?Te=null:xi=Xe}return Q&&!zr&&(zr={box:this.collisionIndex.placeCollisionBox(au,\"always\",yr,ut,Mt,fr,nr,Fe,Ie.predicate,Ci,new a.P(0,0)).box,offscreen:!1,placeable:!1}),zr};Sl((()=>qe(au,Ln.iconBox,a.ah.horizontal)),(()=>{let Ye=Ln.verticalTextBox;return ee.allowVerticalPlacement&&(!Bo||!Bo.placeable)&&sn.numVerticalGlyphVertices>0&&Ye?qe(Ye,Ln.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}})),Bo&&($a=Bo.placeable,Qa=Bo.offscreen);let Ve=Al(Bo&&Bo.placeable);if(!$a&&this.prevPlacement){let Ye=this.prevPlacement.variableOffsets[sn.crossTileID];Ye&&(this.variableOffsets[sn.crossTileID]=Ye,this.markUsedJustification(ee,Ye.anchor,sn,Ve))}}}if(Ts=Bo,$a=Ts&&Ts.placeable,Qa=Ts&&Ts.offscreen,sn.useRuntimeCollisionCircles){let Al=ee.text.placedSymbolArray.get(sn.centerJustifiedTextSymbolIndex),Sl=a.ai(ee.textSizeData,xe,Al),X=le.get(\"text-padding\");wo=this.collisionIndex.placeCollisionCircles(Xe,Al,ee.lineVertexArray,ee.glyphOffsetArray,Sl,ut,Mt,Jt,$t,Q,fr,Ie.predicate,sn.collisionCircleDiameter,X,Fe,Ci),wo.circles.length&&wo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),$a=nt||wo.circles.length>0&&!wo.collisionDetected,Qa=Qa&&wo.offscreen}if(Ln.iconFeatureIndex&&(Lu=Ln.iconFeatureIndex),Ln.iconBox){let Al=Sl=>this.collisionIndex.placeCollisionBox(Sl,qt,yr,ut,Mt,fr,nr,Ze,Ie.predicate,Ci,br&&mo?mo:void 0);Ps&&Ps.placeable&&Ln.verticalIconBox?(To=Al(Ln.verticalIconBox),Co=To.placeable):(To=Al(Ln.iconBox),Co=To.placeable),Qa=Qa&&To.offscreen}let Js=ze||sn.numHorizontalGlyphVertices===0&&sn.numVerticalGlyphVertices===0,eu=Qe||sn.numIconVertices===0;Js||eu?eu?Js||(Co=Co&&$a):$a=Co&&$a:Co=$a=Co&&$a;let dc=Co&&To.placeable;if($a&&Ts.placeable&&this.collisionIndex.insertCollisionBox(Ts.box,Xe,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ps&&Ps.placeable&&Nl?Nl:hl,Ie.ID),dc&&this.collisionIndex.insertCollisionBox(To.box,qt,le.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Lu,Ie.ID),wo&&$a&&this.collisionIndex.insertCollisionCircles(wo.circles,Xe,le.get(\"text-ignore-placement\"),ee.bucketInstanceId,hl,Ie.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Kn,Ln,Ts,To,wo),sn.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[sn.crossTileID]=new Qn($a||Hr,Co||ri,Qa||ee.justReloaded),B[sn.crossTileID]=!0};if(Fr){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let sn=ee.getSortedSymbolIndexes(this.transform.angle);for(let Ln=sn.length-1;Ln>=0;--Ln){let Kn=sn[Ln];cn(ee.symbolInstances.get(Kn),ee.collisionArrays[Kn],Kn)}}else for(let sn=w.symbolInstanceStart;sn<w.symbolInstanceEnd;sn++)cn(ee.symbolInstances.get(sn),ee.collisionArrays[sn],sn);if(Q&&ee.bucketInstanceId in this.collisionCircleArrays){let sn=this.collisionCircleArrays[ee.bucketInstanceId];a.as(sn.invProjMatrix,ut),sn.viewportMatrix=this.collisionIndex.getViewportMatrix()}ee.justReloaded=!1}storeCollisionData(w,B,Q,ee,le,Fe){if(Q.textBox||Q.iconBox){let Ze,ut;this.collisionBoxArrays.has(w)?Ze=this.collisionBoxArrays.get(w):(Ze=new Map,this.collisionBoxArrays.set(w,Ze)),Ze.has(B)?ut=Ze.get(B):(ut={text:null,icon:null},Ze.set(B,ut)),Q.textBox&&(ut.text=ee.box),Q.iconBox&&(ut.icon=le.box)}if(Fe){let Ze=this.collisionCircleArrays[w];Ze===void 0&&(Ze=this.collisionCircleArrays[w]=new Vi);for(let ut=0;ut<Fe.circles.length;ut+=4)Ze.circles.push(Fe.circles[ut+0]),Ze.circles.push(Fe.circles[ut+1]),Ze.circles.push(Fe.circles[ut+2]),Ze.circles.push(Fe.collisionDetected?1:0)}}markUsedJustification(w,B,Q,ee){let le;le=ee===a.ah.vertical?Q.verticalPlacedTextSymbolIndex:{left:Q.leftJustifiedTextSymbolIndex,center:Q.centerJustifiedTextSymbolIndex,right:Q.rightJustifiedTextSymbolIndex}[a.at(B)];let Fe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex,Q.verticalPlacedTextSymbolIndex];for(let Ze of Fe)Ze>=0&&(w.text.placedSymbolArray.get(Ze).crossTileID=le>=0&&Ze!==le?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,le=B===a.ah.vertical?B:0,Fe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let Ze of Fe)w.text.placedSymbolArray.get(Ze).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=le)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,le=B?B.opacities:{},Fe=B?B.variableOffsets:{},Ze=B?B.placedOrientations:{};for(let ut in this.placements){let Mt=this.placements[ut],Jt=le[ut];Jt?(this.opacities[ut]=new Hn(Jt,ee,Mt.text,Mt.icon),Q=Q||Mt.text!==Jt.text.placed||Mt.icon!==Jt.icon.placed):(this.opacities[ut]=new Hn(null,ee,Mt.text,Mt.icon,Mt.skipFade),Q=Q||Mt.text||Mt.icon)}for(let ut in le){let Mt=le[ut];if(!this.opacities[ut]){let Jt=new Hn(Mt,ee,!1,!1);Jt.isHidden()||(this.opacities[ut]=Jt,Q=Q||Mt.text.placed||Mt.icon.placed)}}for(let ut in Fe)this.variableOffsets[ut]||!this.opacities[ut]||this.opacities[ut].isHidden()||(this.variableOffsets[ut]=Fe[ut]);for(let ut in Ze)this.placedOrientations[ut]||!this.opacities[ut]||this.opacities[ut].isHidden()||(this.placedOrientations[ut]=Ze[ut]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let le=ee.getBucket(w);le&&ee.latestFeatureIndex&&w.id===le.layerIds[0]&&this.updateBucketOpacities(le,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let le=w.layers[0],Fe=le.layout,Ze=new Hn(null,0,!1,!1,!0),ut=Fe.get(\"text-allow-overlap\"),Mt=Fe.get(\"icon-allow-overlap\"),Jt=le._unevaluatedLayout.hasValue(\"text-variable-anchor\")||le._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),$t=Fe.get(\"text-rotation-alignment\")===\"map\",yr=Fe.get(\"text-pitch-alignment\")===\"map\",Cr=Fe.get(\"icon-text-fit\")!==\"none\",ve=new Hn(null,0,ut&&(Mt||!w.hasIconData()||Fe.get(\"icon-optional\")),Mt&&(ut||!w.hasTextData()||Fe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let xe=(ze,Qe,Xe)=>{for(let nt=0;nt<Qe/4;nt++)ze.opacityVertexArray.emplaceBack(Xe);ze.hasVisibleVertices=ze.hasVisibleVertices||Xe!==fn},Ie=this.collisionBoxArrays.get(w.bucketInstanceId);for(let ze=0;ze<w.symbolInstances.length;ze++){let Qe=w.symbolInstances.get(ze),{numHorizontalGlyphVertices:Xe,numVerticalGlyphVertices:nt,crossTileID:qt}=Qe,Wt=this.opacities[qt];Q[qt]?Wt=Ze:Wt||(Wt=ve,this.opacities[qt]=Wt),Q[qt]=!0;let nr=Qe.numIconVertices>0,fr=this.placedOrientations[Qe.crossTileID],br=fr===a.ah.vertical,Fr=fr===a.ah.horizontal||fr===a.ah.horizontalOnly;if(Xe>0||nt>0){let ri=en(Wt.text);xe(w.text,Xe,br?fn:ri),xe(w.text,nt,Fr?fn:ri);let Ci=Wt.text.isHidden();[Qe.rightJustifiedTextSymbolIndex,Qe.centerJustifiedTextSymbolIndex,Qe.leftJustifiedTextSymbolIndex].forEach((Ln=>{Ln>=0&&(w.text.placedSymbolArray.get(Ln).hidden=Ci||br?1:0)})),Qe.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(Qe.verticalPlacedTextSymbolIndex).hidden=Ci||Fr?1:0);let cn=this.variableOffsets[Qe.crossTileID];cn&&this.markUsedJustification(w,cn.anchor,Qe,fr);let sn=this.placedOrientations[Qe.crossTileID];sn&&(this.markUsedJustification(w,\"left\",Qe,sn),this.markUsedOrientation(w,sn,Qe))}if(nr){let ri=en(Wt.icon),Ci=!(Cr&&Qe.verticalPlacedIconSymbolIndex&&br);Qe.placedIconSymbolIndex>=0&&(xe(w.icon,Qe.numIconVertices,Ci?ri:fn),w.icon.placedSymbolArray.get(Qe.placedIconSymbolIndex).hidden=Wt.icon.isHidden()),Qe.verticalPlacedIconSymbolIndex>=0&&(xe(w.icon,Qe.numVerticalIconVertices,Ci?fn:ri),w.icon.placedSymbolArray.get(Qe.verticalPlacedIconSymbolIndex).hidden=Wt.icon.isHidden())}let Hr=Ie&&Ie.has(ze)?Ie.get(ze):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let ri=w.collisionArrays[ze];if(ri){let Ci=new a.P(0,0);if(ri.textBox||ri.verticalTextBox){let cn=!0;if(Jt){let sn=this.variableOffsets[qt];sn?(Ci=Gt(sn.anchor,sn.width,sn.height,sn.textOffset,sn.textBoxScale),$t&&Ci._rotate(yr?this.transform.angle:-this.transform.angle)):cn=!1}if(ri.textBox||ri.verticalTextBox){let sn;ri.textBox&&(sn=br),ri.verticalTextBox&&(sn=Fr),tr(w.textCollisionBox.collisionVertexArray,Wt.text.placed,!cn||sn,Hr.text,Ci.x,Ci.y)}}if(ri.iconBox||ri.verticalIconBox){let cn=!!(!Fr&&ri.verticalIconBox),sn;ri.iconBox&&(sn=cn),ri.verticalIconBox&&(sn=!cn),tr(w.iconCollisionBox.collisionVertexArray,Wt.icon.placed,sn,Hr.icon,Cr?Ci.x:0,Cr?Ci.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let ze=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=ze.invProjMatrix,w.placementViewportMatrix=ze.viewportMatrix,w.collisionCircleArray=ze.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(w,B){let Q=this.zoomAtLastRecencyCheck===B?1-this.zoomAdjustment(B):1;return this.zoomAtLastRecencyCheck=B,this.commitTime+this.fadeDuration*Q>w}setStale(){this.stale=!0}}function tr(ue,w,B,Q,ee,le){Q&&Q.length!==0||(Q=[0,0,0,0]);let Fe=Q[0]-mi,Ze=Q[1]-mi,ut=Q[2]-mi,Mt=Q[3]-mi;ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,Fe,Ze),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ut,Ze),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,ut,Mt),ue.emplaceBack(w?1:0,B?1:0,ee||0,le||0,Fe,Mt)}let ir=Math.pow(2,25),wr=Math.pow(2,24),Xr=Math.pow(2,17),ti=Math.pow(2,16),$r=Math.pow(2,9),Ri=Math.pow(2,8),Hi=Math.pow(2,1);function en(ue){if(ue.opacity===0&&!ue.placed)return 0;if(ue.opacity===1&&ue.placed)return 4294967295;let w=ue.placed?1:0,B=Math.floor(127*ue.opacity);return B*ir+w*wr+B*Xr+w*ti+B*$r+w*Ri+B*Hi+w}let fn=0;function yn(){return{isOccluded:(ue,w,B)=>!1,getPitchedTextCorrection:(ue,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(ue,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(ue,w,B,Q)=>(function(ee,le,Fe,Ze,ut=!1){if(!Fe[0]&&!Fe[1])return[0,0];let Mt=ut?Ze===\"map\"?ee.angle:0:Ze===\"viewport\"?-ee.angle:0;if(Mt){let Jt=Math.sin(Mt),$t=Math.cos(Mt);Fe=[Fe[0]*$t-Fe[1]*Jt,Fe[0]*Jt+Fe[1]*$t]}return[ut?Fe[0]:Fn(le,Fe[0],ee.zoom),ut?Fe[1]:Fn(le,Fe[1],ee.zoom)]})(ue,w,B,Q),getCircleRadiusCorrection:ue=>1}}class Mn{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,le){let Fe=this._bucketParts;for(;this._currentTileIndex<w.length;)if(B.getBucketParts(Fe,ee,w[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,le())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,Fe.sort(((Ze,ut)=>Ze.sortKey-ut.sortKey)));this._currentPartIndex<Fe.length;)if(B.placeLayerBucketPart(Fe[this._currentPartIndex],this._seenCrossTileIDs,Q),this._currentPartIndex++,le())return!0;return!1}}class Ba{constructor(w,B,Q,ee,le,Fe,Ze,ut){this.placement=new wt(w,yn(),B,Fe,Ze,ut),this._currentPlacementIndex=Q.length-1,this._forceFullPlacement=ee,this._showCollisionBoxes=le,this._done=!1}isDone(){return this._done}continuePlacement(w,B,Q){let ee=u.now(),le=()=>!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let Fe=B[w[this._currentPlacementIndex]],Ze=this.placement.collisionIndex.transform.zoom;if(Fe.type===\"symbol\"&&(!Fe.minzoom||Fe.minzoom<=Ze)&&(!Fe.maxzoom||Fe.maxzoom>Ze)){if(this._inProgressLayer||(this._inProgressLayer=new Mn(Fe)),this._inProgressLayer.continuePlacement(Q[Fe.source],this.placement,this._showCollisionBoxes,Fe,le))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let ua=512/a.X/2;class ma{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let le=0;le<B.length;le++){let Fe=B.get(le),Ze=Fe.key,ut=ee.get(Ze);ut?ut.push(Fe):ee.set(Ze,[Fe])}for(let[le,Fe]of ee){let Ze={positions:Fe.map((ut=>({x:Math.floor(ut.anchorX*ua),y:Math.floor(ut.anchorY*ua)}))),crossTileIDs:Fe.map((ut=>ut.crossTileID))};if(Ze.positions.length>128){let ut=new a.av(Ze.positions.length,16,Uint16Array);for(let{x:Mt,y:Jt}of Ze.positions)ut.add(Mt,Jt);ut.finish(),delete Ze.positions,Ze.index=ut}this._symbolsByKey[le]=Ze}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:le}=this.tileID.canonical,{x:Fe,y:Ze,z:ut}=B.canonical,Mt=ua/Math.pow(2,ut-le),Jt=(Ze*a.X+w.anchorY)*Mt,$t=ee*a.X*ua;return{x:Math.floor((Fe*a.X+w.anchorX)*Mt-Q*a.X*ua),y:Math.floor(Jt-$t)}}findMatches(w,B,Q){let ee=this.tileID.canonical.z<B.canonical.z?1:Math.pow(2,this.tileID.canonical.z-B.canonical.z);for(let le=0;le<w.length;le++){let Fe=w.get(le);if(Fe.crossTileID)continue;let Ze=this._symbolsByKey[Fe.key];if(!Ze)continue;let ut=this.getScaledCoordinates(Fe,B);if(Ze.index){let Mt=Ze.index.range(ut.x-ee,ut.y-ee,ut.x+ee,ut.y+ee).sort();for(let Jt of Mt){let $t=Ze.crossTileIDs[Jt];if(!Q[$t]){Q[$t]=!0,Fe.crossTileID=$t;break}}}else if(Ze.positions)for(let Mt=0;Mt<Ze.positions.length;Mt++){let Jt=Ze.positions[Mt],$t=Ze.crossTileIDs[Mt];if(Math.abs(Jt.x-ut.x)<=ee&&Math.abs(Jt.y-ut.y)<=ee&&!Q[$t]){Q[$t]=!0,Fe.crossTileID=$t;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:w})=>w))}}class Wa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class za{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],le={};for(let Fe in ee){let Ze=ee[Fe];Ze.tileID=Ze.tileID.unwrapTo(Ze.tileID.wrap+B),le[Ze.tileID.key]=Ze}this.indexes[Q]=le}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let le=0;le<B.symbolInstances.length;le++)B.symbolInstances.get(le).crossTileID=0;this.usedCrossTileIDs[w.overscaledZ]||(this.usedCrossTileIDs[w.overscaledZ]={});let ee=this.usedCrossTileIDs[w.overscaledZ];for(let le in this.indexes){let Fe=this.indexes[le];if(Number(le)>w.overscaledZ)for(let Ze in Fe){let ut=Fe[Ze];ut.tileID.isChildOf(w)&&ut.findMatches(B.symbolInstances,w,ee)}else{let Ze=Fe[w.scaledTo(Number(le)).key];Ze&&Ze.findMatches(B.symbolInstances,w,ee)}}for(let le=0;le<B.symbolInstances.length;le++){let Fe=B.symbolInstances.get(le);Fe.crossTileID||(Fe.crossTileID=Q.generate(),ee[Fe.crossTileID]=!0)}return this.indexes[w.overscaledZ]===void 0&&(this.indexes[w.overscaledZ]={}),this.indexes[w.overscaledZ][w.key]=new ma(w,B.symbolInstances,B.bucketInstanceId),!0}removeBucketCrossTileIDs(w,B){for(let Q of B.getCrossTileIDsLists())for(let ee of Q)delete this.usedCrossTileIDs[w][ee]}removeStaleBuckets(w){let B=!1;for(let Q in this.indexes){let ee=this.indexes[Q];for(let le in ee)w[ee[le].bucketInstanceId]||(this.removeBucketCrossTileIDs(Q,ee[le]),delete ee[le],B=!0)}return B}}class Xo{constructor(){this.layerIndexes={},this.crossTileIDs=new Wa,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(w,B,Q){let ee=this.layerIndexes[w.id];ee===void 0&&(ee=this.layerIndexes[w.id]=new za);let le=!1,Fe={};ee.handleWrapJump(Q);for(let Ze of B){let ut=Ze.getBucket(w);ut&&w.id===ut.layerIds[0]&&(ut.bucketInstanceId||(ut.bucketInstanceId=++this.maxBucketInstanceId),ee.addBucket(Ze.tileID,ut,this.crossTileIDs)&&(le=!0),Fe[ut.bucketInstanceId]=!0)}return ee.removeStaleBuckets(Fe)&&(le=!0),le}pruneUnusedLayers(w){let B={};w.forEach((Q=>{B[Q]=!0}));for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let da=(ue,w)=>a.t(ue,w&&w.filter((B=>B.identifier!==\"source.canvas\"))),jn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new ke(Se(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((Q,ee)=>this.getGlyphs(Q,ee))),this.dispatcher.registerMessageHandler(\"GI\",((Q,ee)=>this.getImages(Q,ee))),this.imageManager=new E,this.imageManager.setEventedParent(this),this.glyphManager=new G(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new ae(256,512),this.crossTileSymbolIndex=new Xo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),St().on(Ue,this._rtlPluginLoaded),this.on(\"data\",(Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let le=ee.getSource();if(le&&le.vectorLayerIds)for(let Fe in this._layers){let Ze=this._layers[Fe];Ze.source===le.id&&this._validateLayer(Ze)}}))}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let le=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then((Fe=>{this._loadStyleRequest=null,this._load(Fe.data,B,Q)})).catch((Fe=>{this._loadStyleRequest=null,Fe&&!le.signal.aborted&&this.fire(new a.j(Fe))}))}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)})).catch((()=>{}))}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(jn,{validate:!1})}_load(w,B,Q){var ee;let le=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!da(this,a.u(le))){this._loaded=!0,this.stylesheet=le;for(let Fe in le.sources)this.addSource(Fe,le.sources[Fe],{validate:!1});le.sprite?this._loadSprite(le.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(le.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map((B=>B.id)),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,(function(le,Fe,Ze,ut){return a._(this,void 0,void 0,(function*(){let Mt=C(le),Jt=Ze>1?\"@2x\":\"\",$t={},yr={};for(let{id:Cr,url:ve}of Mt){let xe=Fe.transformRequest(S(ve,Jt,\".json\"),\"SpriteJSON\");$t[Cr]=a.h(xe,ut);let Ie=Fe.transformRequest(S(ve,Jt,\".png\"),\"SpriteImage\");yr[Cr]=p.getImage(Ie,ut)}return yield Promise.all([...Object.values($t),...Object.values(yr)]),(function(Cr,ve){return a._(this,void 0,void 0,(function*(){let xe={};for(let Ie in Cr){xe[Ie]={};let ze=u.getImageCanvasContext((yield ve[Ie]).data),Qe=(yield Cr[Ie]).data;for(let Xe in Qe){let{width:nt,height:qt,x:Wt,y:nr,sdf:fr,pixelRatio:br,stretchX:Fr,stretchY:Hr,content:ri,textFitWidth:Ci,textFitHeight:cn}=Qe[Xe];xe[Ie][Xe]={data:null,pixelRatio:br,sdf:fr,stretchX:Fr,stretchY:Hr,content:ri,textFitWidth:Ci,textFitHeight:cn,spriteData:{width:nt,height:qt,x:Wt,y:nr,context:ze}}}}return xe}))})($t,yr)}))})(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((le=>{if(this._spriteRequest=null,le)for(let Fe in le){this._spritesImagesIds[Fe]=[];let Ze=this._spritesImagesIds[Fe]?this._spritesImagesIds[Fe].filter((ut=>!(ut in le))):[];for(let ut of Ze)this.imageManager.removeImage(ut),this._changedImages[ut]=!0;for(let ut in le[Fe]){let Mt=Fe===\"default\"?ut:`${Fe}:${ut}`;this._spritesImagesIds[Fe].push(Mt),Mt in this.imageManager.images?this.imageManager.updateImage(Mt,le[Fe][ut],!1):this.imageManager.addImage(Mt,le[Fe][ut]),B&&(this._changedImages[Mt]=!0)}}})).catch((le=>{this._spriteRequest=null,ee=le,this.fire(new a.j(ee))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)}))}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let le of w)if(Q[le]){let Fe=B?a.aB(Q[le]):Q[le];ee.push(Fe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),le=Object.keys(this._removedLayers);(ee.length||le.length)&&this._updateWorkerLayers(ee,le);for(let Fe in this._updatedSources){let Ze=this._updatedSources[Fe];if(Ze===\"reload\")this._reloadSource(Fe);else{if(Ze!==\"clear\")throw new Error(`Invalid action ${Ze}`);this._clearSource(Fe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let Fe in this._updatedPaintProps)this._layers[Fe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let le=this.sourceCaches[ee];Q[ee]=le.used,le.used=!1}for(let ee of this._order){let le=this._layers[ee];le.recalculate(w,this._availableImages),!le.isHidden(w.zoom)&&le.source&&(this.sourceCaches[le.source].used=!0)}for(let ee in Q){let le=this.sourceCaches[ee];!!Q[ee]!=!!le.used&&le.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&da(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let le=a.aC(ee,w),Fe=this._getOperationsToPerform(le);if(Fe.unimplemented.length>0)throw new Error(`Unimplemented: ${Fe.unimplemented.join(\", \")}.`);if(Fe.operations.length===0)return!1;for(let Ze of Fe.operations)Ze();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push((()=>this.addLayer.apply(this,ee.args)));break;case\"removeLayer\":B.push((()=>this.removeLayer.apply(this,ee.args)));break;case\"setPaintProperty\":B.push((()=>this.setPaintProperty.apply(this,ee.args)));break;case\"setLayoutProperty\":B.push((()=>this.setLayoutProperty.apply(this,ee.args)));break;case\"setFilter\":B.push((()=>this.setFilter.apply(this,ee.args)));break;case\"addSource\":B.push((()=>this.addSource.apply(this,ee.args)));break;case\"removeSource\":B.push((()=>this.removeSource.apply(this,ee.args)));break;case\"setLayerZoomRange\":B.push((()=>this.setLayerZoomRange.apply(this,ee.args)));break;case\"setLight\":B.push((()=>this.setLight.apply(this,ee.args)));break;case\"setGeoJSONSourceData\":B.push((()=>this.setGeoJSONSourceData.apply(this,ee.args)));break;case\"setGlyphs\":B.push((()=>this.setGlyphs.apply(this,ee.args)));break;case\"setSprite\":B.push((()=>this.setSprite.apply(this,ee.args)));break;case\"setSky\":B.push((()=>this.setSky.apply(this,ee.args)));break;case\"setTerrain\":B.push((()=>this.map.setTerrain.apply(this,ee.args)));break;case\"setTransition\":B.push((()=>{}));break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new pt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,(()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w}))),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let le;if(w.type===\"custom\"){if(da(this,a.aD(w)))return;le=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;le=a.aA(w),this._validateLayer(le),le.setEventedParent(this,{layer:{id:ee}})}let Fe=B?this._order.indexOf(B):this._order.length;if(B&&Fe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(Fe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=le,this._removedLayers[ee]&&le.source&&le.type!==\"custom\"){let Ze=this._removedLayers[ee];delete this._removedLayers[ee],Ze.type!==le.type?this._updatedSources[le.source]=\"clear\":(this._updatedSources[le.source]=\"reload\",this.sourceCaches[le.source].pause())}this._updateLayer(le),le.onAdd&&le.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getLayoutProperty(B),Q)||(le.setLayoutProperty(B,Q,ee),this._updateLayer(le)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let le=this.getLayer(w);le?a.aE(le.getPaintProperty(B),Q)||(le.setPaintProperty(B,Q,ee)&&this._updateLayer(le),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,le=this.sourceCaches[Q];if(le===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let Fe=le.getSource().type;Fe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):Fe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),le.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let le=ee.getSource().type,Fe=le===\"vector\"?w.sourceLayer:void 0;le!==\"vector\"||Fe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(Fe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,(le=>le.serialize())),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},(le=>le!==void 0))}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=Fe=>this._layers[Fe].type===\"fill-extrusion\",Q={},ee=[];for(let Fe=this._order.length-1;Fe>=0;Fe--){let Ze=this._order[Fe];if(B(Ze)){Q[Ze]=Fe;for(let ut of w){let Mt=ut[Ze];if(Mt)for(let Jt of Mt)ee.push(Jt)}}}ee.sort(((Fe,Ze)=>Ze.intersectionZ-Fe.intersectionZ));let le=[];for(let Fe=this._order.length-1;Fe>=0;Fe--){let Ze=this._order[Fe];if(B(Ze))for(let ut=ee.length-1;ut>=0;ut--){let Mt=ee[ut].feature;if(Q[Mt.layer.id]<Fe)break;le.push(Mt),ee.pop()}else for(let ut of w){let Mt=ut[Ze];if(Mt)for(let Jt of Mt)le.push(Jt.feature)}}return le}queryRenderedFeatures(w,B,Q){B&&B.filter&&this._validate(a.u.filter,\"queryRenderedFeatures.filter\",B.filter,null,B);let ee={};if(B&&B.layers){if(!Array.isArray(B.layers))return this.fire(new a.j(new Error(\"parameters.layers must be an Array.\"))),[];for(let Ze of B.layers){let ut=this._layers[Ze];if(!ut)return this.fire(new a.j(new Error(`The layer '${Ze}' does not exist in the map's style and cannot be queried for features.`))),[];ee[ut.source]=!0}}let le=[];B.availableImages=this._availableImages;let Fe=this._serializedAllLayers();for(let Ze in this.sourceCaches)B.layers&&!ee[Ze]||le.push(Le(this.sourceCaches[Ze],this._layers,Fe,w,B,Q));return this.placement&&le.push((function(Ze,ut,Mt,Jt,$t,yr,Cr){let ve={},xe=yr.queryRenderedSymbols(Jt),Ie=[];for(let ze of Object.keys(xe).map(Number))Ie.push(Cr[ze]);Ie.sort(me);for(let ze of Ie){let Qe=ze.featureIndex.lookupSymbolFeatures(xe[ze.bucketInstanceId],ut,ze.bucketIndex,ze.sourceLayerIndex,$t.filter,$t.layers,$t.availableImages,Ze);for(let Xe in Qe){let nt=ve[Xe]=ve[Xe]||[],qt=Qe[Xe];qt.sort(((Wt,nr)=>{let fr=ze.featureSortOrder;if(fr){let br=fr.indexOf(Wt.featureIndex);return fr.indexOf(nr.featureIndex)-br}return nr.featureIndex-Wt.featureIndex}));for(let Wt of qt)nt.push(Wt)}}for(let ze in ve)ve[ze].forEach((Qe=>{let Xe=Qe.feature,nt=Mt[Ze[ze].source].getFeatureState(Xe.layer[\"source-layer\"],Xe.id);Xe.source=Xe.layer.source,Xe.layer[\"source-layer\"]&&(Xe.sourceLayer=Xe.layer[\"source-layer\"]),Xe.state=nt}));return ve})(this._layers,Fe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(le)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?(function(ee,le){let Fe=ee.getRenderableIds().map((Mt=>ee.getTileByID(Mt))),Ze=[],ut={};for(let Mt=0;Mt<Fe.length;Mt++){let Jt=Fe[Mt],$t=Jt.tileID.canonical.key;ut[$t]||(ut[$t]=!0,Jt.querySourceFeatures(Ze,le))}return Ze})(Q,B):[]}getLight(){return this.light.getLight()}setLight(w,B={}){this._checkLoaded();let Q=this.light.getLight(),ee=!1;for(let Fe in w)if(!a.aE(w[Fe],Q[Fe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(w,B),this.light.updateTransitions(le)}getSky(){var w;return(w=this.stylesheet)===null||w===void 0?void 0:w.sky}setSky(w,B={}){let Q=this.getSky(),ee=!1;if(!w&&!Q)return;if(w&&!Q)ee=!0;else if(!w&&Q)ee=!0;else for(let Fe in w)if(!a.aE(w[Fe],Q[Fe])){ee=!0;break}if(!ee)return;let le={now:u.now(),transition:a.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=w,this.sky.setSky(w,B),this.sky.updateTransitions(le)}_validate(w,B,Q,ee,le={}){return(!le||le.validate!==!1)&&da(this,w.call(a.u,a.e({key:B,style:this.serialize(),value:Q,styleSpec:a.v},ee)))}_remove(w=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),St().off(Ue,this._rtlPluginLoaded);for(let B in this._layers)this._layers[B].setEventedParent(null);for(let B in this.sourceCaches){let Q=this.sourceCaches[B];Q.setEventedParent(null),Q.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),w&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(w)}_clearSource(w){this.sourceCaches[w].clearTiles()}_reloadSource(w){this.sourceCaches[w].resume(),this.sourceCaches[w].reload()}_updateSources(w){for(let B in this.sourceCaches)this.sourceCaches[B].update(w,this.map.terrain)}_generateCollisionBoxes(){for(let w in this.sourceCaches)this._reloadSource(w)}_updatePlacement(w,B,Q,ee,le=!1){let Fe=!1,Ze=!1,ut={};for(let Mt of this._order){let Jt=this._layers[Mt];if(Jt.type!==\"symbol\")continue;if(!ut[Jt.source]){let yr=this.sourceCaches[Jt.source];ut[Jt.source]=yr.getRenderableIds(!0).map((Cr=>yr.getTileByID(Cr))).sort(((Cr,ve)=>ve.tileID.overscaledZ-Cr.tileID.overscaledZ||(Cr.tileID.isLessThan(ve.tileID)?-1:1)))}let $t=this.crossTileSymbolIndex.addLayer(Jt,ut[Jt.source],w.center.lng);Fe=Fe||$t}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((le=le||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new Ba(w,this.map.terrain,this._order,le,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,ut),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),Ze=!0),Fe&&this.pauseablePlacement.placement.setStale()),Ze||Fe)for(let Mt of this._order){let Jt=this._layers[Mt];Jt.type===\"symbol\"&&this.placement.updateLayerOpacities(Jt,ut[Jt.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,(function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q}))}getGlyphs(w,B){return a._(this,void 0,void 0,(function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let le=[{id:w,url:B}],Fe=[...C(this.stylesheet.sprite),...le];this._validate(a.u.sprite,\"sprite\",Fe,null,Q)||(this.stylesheet.sprite=Fe,this._loadSprite(le,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find((Q=>Q.id===w))){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex((Q=>Q.id===w)),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var vo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let Gn={prelude:Ct(`#ifdef GL_ES\n",
+       "precision mediump float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "`,`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#else\n",
+       "#if !defined(lowp)\n",
+       "#define lowp\n",
+       "#endif\n",
+       "#if !defined(mediump)\n",
+       "#define mediump\n",
+       "#endif\n",
+       "#if !defined(highp)\n",
+       "#define highp\n",
+       "#endif\n",
+       "#endif\n",
+       "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n",
+       ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n",
+       "#ifdef TERRAIN3D\n",
+       "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n",
+       "#endif\n",
+       "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n",
+       "#ifdef TERRAIN3D\n",
+       "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float calculate_visibility(vec4 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n",
+       "#else\n",
+       "return 1.0;\n",
+       "#endif\n",
+       "}float ele(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}float get_elevation(vec2 pos) {\n",
+       "#ifdef TERRAIN3D\n",
+       "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n",
+       "#else\n",
+       "return 0.0;\n",
+       "#endif\n",
+       "}`),background:Ct(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:Ct(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:Ct(`varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define highp vec4 stroke_color\n",
+       "#pragma mapbox: define mediump float stroke_width\n",
+       "#pragma mapbox: define lowp float stroke_opacity\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize highp vec4 stroke_color\n",
+       "#pragma mapbox: initialize mediump float stroke_width\n",
+       "#pragma mapbox: initialize lowp float stroke_opacity\n",
+       "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:Ct(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:Ct(`uniform highp float u_intensity;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n",
+       "#pragma mapbox: define highp float weight\n",
+       "#pragma mapbox: define mediump float radius\n",
+       "const highp float ZERO=1.0/255.0/16.0;\n",
+       "#define GAUSS_COEF 0.3989422804014327\n",
+       "void main(void) {\n",
+       "#pragma mapbox: initialize highp float weight\n",
+       "#pragma mapbox: initialize mediump float radius\n",
+       "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:Ct(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(0.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:Ct(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:Ct(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:Ct(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:Ct(`#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_FragColor=color*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:Ct(`varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n",
+       "#pragma mapbox: define highp vec4 outline_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 outline_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:Ct(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:Ct(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec4 v_color;\n",
+       "#pragma mapbox: define highp float base\n",
+       "#pragma mapbox: define highp float height\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp float base\n",
+       "#pragma mapbox: initialize highp float height\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "vec3 normal=a_normal_ed.xyz;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:Ct(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n",
+       "#ifdef TERRAIN3D\n",
+       "attribute vec2 a_centroid;\n",
+       "#endif\n",
+       "varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n",
+       "#pragma mapbox: define lowp float base\n",
+       "#pragma mapbox: define lowp float height\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float base\n",
+       "#pragma mapbox: initialize lowp float height\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n",
+       "#ifdef TERRAIN3D\n",
+       "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n",
+       "#else\n",
+       "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n",
+       "#endif\n",
+       "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n",
+       "? a_pos\n",
+       ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:Ct(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n",
+       "#define PI 3.141592653589793\n",
+       "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:Ct(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),lineGradient:Ct(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_width2=vec2(outset,inset);}`),linePattern:Ct(`#ifdef GL_ES\n",
+       "precision highp float;\n",
+       "#endif\n",
+       "uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "#pragma mapbox: define lowp vec4 pattern_from\n",
+       "#pragma mapbox: define lowp vec4 pattern_to\n",
+       "#pragma mapbox: define lowp float pixel_ratio_from\n",
+       "#pragma mapbox: define lowp float pixel_ratio_to\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_from\n",
+       "#pragma mapbox: initialize mediump vec4 pattern_to\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_from\n",
+       "#pragma mapbox: initialize lowp float pixel_ratio_to\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:Ct(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`\n",
+       "#define scale 0.015873016\n",
+       "#define LINE_DISTANCE_SCALE 2.0\n",
+       "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n",
+       "#pragma mapbox: define highp vec4 color\n",
+       "#pragma mapbox: define lowp float blur\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define mediump float gapwidth\n",
+       "#pragma mapbox: define lowp float offset\n",
+       "#pragma mapbox: define mediump float width\n",
+       "#pragma mapbox: define lowp float floorwidth\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 color\n",
+       "#pragma mapbox: initialize lowp float blur\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize mediump float gapwidth\n",
+       "#pragma mapbox: initialize lowp float offset\n",
+       "#pragma mapbox: initialize mediump float width\n",
+       "#pragma mapbox: initialize lowp float floorwidth\n",
+       "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n",
+       "#ifdef TERRAIN3D\n",
+       "v_gamma_scale=1.0;\n",
+       "#else\n",
+       "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n",
+       "#endif\n",
+       "v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:Ct(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:Ct(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:Ct(`#define SDF_PX 8.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:Ct(`#define SDF_PX 8.0\n",
+       "#define SDF 1.0\n",
+       "#define ICON 0.0\n",
+       "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n",
+       "#ifdef OVERDRAW_INSPECTOR\n",
+       "gl_FragColor=vec4(1.0);\n",
+       "#endif\n",
+       "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n",
+       "#pragma mapbox: define highp vec4 fill_color\n",
+       "#pragma mapbox: define highp vec4 halo_color\n",
+       "#pragma mapbox: define lowp float opacity\n",
+       "#pragma mapbox: define lowp float halo_width\n",
+       "#pragma mapbox: define lowp float halo_blur\n",
+       "void main() {\n",
+       "#pragma mapbox: initialize highp vec4 fill_color\n",
+       "#pragma mapbox: initialize highp vec4 halo_color\n",
+       "#pragma mapbox: initialize lowp float opacity\n",
+       "#pragma mapbox: initialize lowp float halo_width\n",
+       "#pragma mapbox: initialize lowp float halo_blur\n",
+       "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n",
+       "camera_to_anchor_distance/u_camera_to_center_distance :\n",
+       "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:Ct(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:Ct(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:Ct(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:Ct(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function Ct(ue,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=ue.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),le=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),Fe=le?le.concat(ee):ee,Ze={};return{fragmentSource:ue=ue.replace(B,((ut,Mt,Jt,$t,yr)=>(Ze[yr]=!0,Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "varying ${Jt} ${$t} ${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifdef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`))),vertexSource:w=w.replace(B,((ut,Mt,Jt,$t,yr)=>{let Cr=$t===\"float\"?\"vec2\":\"vec4\",ve=yr.match(/color/)?\"color\":Cr;return Ze[yr]?Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "uniform lowp float u_${yr}_t;\n",
+       "attribute ${Jt} ${Cr} a_${yr};\n",
+       "varying ${Jt} ${$t} ${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:ve===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${yr} = a_${yr};\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${yr} = unpack_mix_${ve}(a_${yr}, u_${yr}_t);\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:Mt===\"define\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "uniform lowp float u_${yr}_t;\n",
+       "attribute ${Jt} ${Cr} a_${yr};\n",
+       "#else\n",
+       "uniform ${Jt} ${$t} u_${yr};\n",
+       "#endif\n",
+       "`:ve===\"vec4\"?`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = a_${yr};\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`:`\n",
+       "#ifndef HAS_UNIFORM_u_${yr}\n",
+       "    ${Jt} ${$t} ${yr} = unpack_mix_${ve}(a_${yr}, u_${yr}_t);\n",
+       "#else\n",
+       "    ${Jt} ${$t} ${yr} = u_${yr};\n",
+       "#endif\n",
+       "`})),staticAttributes:Q,staticUniforms:Fe}}class Sr{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,le,Fe,Ze,ut,Mt){this.context=w;let Jt=this.boundPaintVertexBuffers.length!==ee.length;for(let $t=0;!Jt&&$t<ee.length;$t++)this.boundPaintVertexBuffers[$t]!==ee[$t]&&(Jt=!0);!this.vao||this.boundProgram!==B||this.boundLayoutVertexBuffer!==Q||Jt||this.boundIndexBuffer!==le||this.boundVertexOffset!==Fe||this.boundDynamicVertexBuffer!==Ze||this.boundDynamicVertexBuffer2!==ut||this.boundDynamicVertexBuffer3!==Mt?this.freshBind(B,Q,ee,le,Fe,Ze,ut,Mt):(w.bindVertexArray.set(this.vao),Ze&&Ze.bind(),le&&le.dynamicDraw&&le.bind(),ut&&ut.bind(),Mt&&Mt.bind())}freshBind(w,B,Q,ee,le,Fe,Ze,ut){let Mt=w.numAttributes,Jt=this.context,$t=Jt.gl;this.vao&&this.destroy(),this.vao=Jt.createVertexArray(),Jt.bindVertexArray.set(this.vao),this.boundProgram=w,this.boundLayoutVertexBuffer=B,this.boundPaintVertexBuffers=Q,this.boundIndexBuffer=ee,this.boundVertexOffset=le,this.boundDynamicVertexBuffer=Fe,this.boundDynamicVertexBuffer2=Ze,this.boundDynamicVertexBuffer3=ut,B.enableAttributes($t,w);for(let yr of Q)yr.enableAttributes($t,w);Fe&&Fe.enableAttributes($t,w),Ze&&Ze.enableAttributes($t,w),ut&&ut.enableAttributes($t,w),B.bind(),B.setVertexAttribPointers($t,w,le);for(let yr of Q)yr.bind(),yr.setVertexAttribPointers($t,w,le);Fe&&(Fe.bind(),Fe.setVertexAttribPointers($t,w,le)),ee&&ee.bind(),Ze&&(Ze.bind(),Ze.setVertexAttribPointers($t,w,le)),ut&&(ut.bind(),ut.setVertexAttribPointers($t,w,le)),Jt.currentNumAttributes=Mt}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}let Jr=(ue,w,B,Q,ee)=>({u_matrix:ue,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function hi(ue){let w=[];for(let B=0;B<ue.length;B++){if(ue[B]===null)continue;let Q=ue[B].split(\" \");w.push(Q.pop())}return w}class hn{constructor(w,B,Q,ee,le,Fe){let Ze=w.gl;this.program=Ze.createProgram();let ut=hi(B.staticAttributes),Mt=Q?Q.getBinderAttributes():[],Jt=ut.concat(Mt),$t=Gn.prelude.staticUniforms?hi(Gn.prelude.staticUniforms):[],yr=B.staticUniforms?hi(B.staticUniforms):[],Cr=Q?Q.getBinderUniforms():[],ve=$t.concat(yr).concat(Cr),xe=[];for(let Wt of ve)xe.indexOf(Wt)<0&&xe.push(Wt);let Ie=Q?Q.defines():[];le&&Ie.push(\"#define OVERDRAW_INSPECTOR;\"),Fe&&Ie.push(\"#define TERRAIN3D;\");let ze=Ie.concat(Gn.prelude.fragmentSource,B.fragmentSource).join(`\n",
+       "`),Qe=Ie.concat(Gn.prelude.vertexSource,B.vertexSource).join(`\n",
+       "`),Xe=Ze.createShader(Ze.FRAGMENT_SHADER);if(Ze.isContextLost())return void(this.failedToCreate=!0);if(Ze.shaderSource(Xe,ze),Ze.compileShader(Xe),!Ze.getShaderParameter(Xe,Ze.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${Ze.getShaderInfoLog(Xe)}`);Ze.attachShader(this.program,Xe);let nt=Ze.createShader(Ze.VERTEX_SHADER);if(Ze.isContextLost())return void(this.failedToCreate=!0);if(Ze.shaderSource(nt,Qe),Ze.compileShader(nt),!Ze.getShaderParameter(nt,Ze.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${Ze.getShaderInfoLog(nt)}`);Ze.attachShader(this.program,nt),this.attributes={};let qt={};this.numAttributes=Jt.length;for(let Wt=0;Wt<this.numAttributes;Wt++)Jt[Wt]&&(Ze.bindAttribLocation(this.program,Wt,Jt[Wt]),this.attributes[Jt[Wt]]=Wt);if(Ze.linkProgram(this.program),!Ze.getProgramParameter(this.program,Ze.LINK_STATUS))throw new Error(`Program failed to link: ${Ze.getProgramInfoLog(this.program)}`);Ze.deleteShader(nt),Ze.deleteShader(Xe);for(let Wt=0;Wt<xe.length;Wt++){let nr=xe[Wt];if(nr&&!qt[nr]){let fr=Ze.getUniformLocation(this.program,nr);fr&&(qt[nr]=fr)}}this.fixedUniforms=ee(w,qt),this.terrainUniforms=((Wt,nr)=>({u_depth:new a.aH(Wt,nr.u_depth),u_terrain:new a.aH(Wt,nr.u_terrain),u_terrain_dim:new a.aI(Wt,nr.u_terrain_dim),u_terrain_matrix:new a.aJ(Wt,nr.u_terrain_matrix),u_terrain_unpack:new a.aK(Wt,nr.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Wt,nr.u_terrain_exaggeration)}))(w,qt),this.binderUniforms=Q?Q.getUniforms(w,qt):[]}draw(w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve,xe,Ie,ze,Qe){let Xe=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(le),w.setCullFace(Fe),ut){w.activeTexture.set(Xe.TEXTURE2),Xe.bindTexture(Xe.TEXTURE_2D,ut.depthTexture),w.activeTexture.set(Xe.TEXTURE3),Xe.bindTexture(Xe.TEXTURE_2D,ut.texture);for(let qt in this.terrainUniforms)this.terrainUniforms[qt].set(ut[qt])}for(let qt in this.fixedUniforms)this.fixedUniforms[qt].set(Ze[qt]);xe&&xe.setUniforms(w,this.binderUniforms,Cr,{zoom:ve});let nt=0;switch(B){case Xe.LINES:nt=2;break;case Xe.TRIANGLES:nt=3;break;case Xe.LINE_STRIP:nt=1}for(let qt of yr.get()){let Wt=qt.vaos||(qt.vaos={});(Wt[Mt]||(Wt[Mt]=new Sr)).bind(w,this,Jt,xe?xe.getPaintVertexBuffers():[],$t,qt.vertexOffset,Ie,ze,Qe),Xe.drawElements(B,qt.primitiveLength*nt,Xe.UNSIGNED_SHORT,qt.primitiveOffset*nt*2)}}}function Sn(ue,w,B){let Q=1/Fn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),le=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,Fe=le*(B.tileID.canonical.x+B.tileID.wrap*ee),Ze=le*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,ue.fromScale,ue.toScale],u_fade:ue.t,u_pixel_coord_upper:[Fe>>16,Ze>>16],u_pixel_coord_lower:[65535&Fe,65535&Ze]}}let En=(ue,w,B,Q)=>{let ee=w.style.light,le=ee.properties.get(\"position\"),Fe=[le.x,le.y,le.z],Ze=(function(){var Mt=new a.A(9);return a.A!=Float32Array&&(Mt[1]=0,Mt[2]=0,Mt[3]=0,Mt[5]=0,Mt[6]=0,Mt[7]=0),Mt[0]=1,Mt[4]=1,Mt[8]=1,Mt})();ee.properties.get(\"anchor\")===\"viewport\"&&(function(Mt,Jt){var $t=Math.sin(Jt),yr=Math.cos(Jt);Mt[0]=yr,Mt[1]=$t,Mt[2]=0,Mt[3]=-$t,Mt[4]=yr,Mt[5]=0,Mt[6]=0,Mt[7]=0,Mt[8]=1})(Ze,-w.transform.angle),(function(Mt,Jt,$t){var yr=Jt[0],Cr=Jt[1],ve=Jt[2];Mt[0]=yr*$t[0]+Cr*$t[3]+ve*$t[6],Mt[1]=yr*$t[1]+Cr*$t[4]+ve*$t[7],Mt[2]=yr*$t[2]+Cr*$t[5]+ve*$t[8]})(Fe,Fe,Ze);let ut=ee.properties.get(\"color\");return{u_matrix:ue,u_lightpos:Fe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[ut.r,ut.g,ut.b],u_vertical_gradient:+B,u_opacity:Q}},ki=(ue,w,B,Q,ee,le,Fe)=>a.e(En(ue,w,B,Q),Sn(le,w,Fe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/Fe.tileSize/8}),_n=ue=>({u_matrix:ue}),ya=(ue,w,B,Q)=>a.e(_n(ue),Sn(B,w,Q)),ea=(ue,w)=>({u_matrix:ue,u_world:w}),Ma=(ue,w,B,Q,ee)=>a.e(ya(ue,w,B,Q),{u_world:ee}),_o=(ue,w,B,Q)=>{let ee=ue.transform,le,Fe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let Ze=Fn(B,1,ee.zoom);le=!0,Fe=[Ze,Ze]}else le=!1,Fe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:ue.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+le,u_device_pixel_ratio:ue.pixelRatio,u_extrude_scale:Fe}},No=(ue,w,B)=>({u_matrix:ue,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),po=(ue,w,B=1)=>({u_matrix:ue,u_color:w,u_overlay:0,u_overlay_scale:B}),Lo=ue=>({u_matrix:ue}),ko=(ue,w,B,Q)=>({u_matrix:ue,u_extrude_scale:Fn(w,1,B),u_intensity:Q}),Ds=(ue,w,B,Q)=>{let ee=a.H();a.aP(ee,0,ue.width,ue.height,0,0,1);let le=ue.context.gl;return{u_matrix:ee,u_world:[le.drawingBufferWidth,le.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function Fs(ue,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let ll=(ue,w,B,Q)=>{let ee=ue.transform;return{u_matrix:As(ue,w,B,Q),u_ratio:1/Fn(w,1,ee.zoom),u_device_pixel_ratio:ue.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},ul=(ue,w,B,Q,ee)=>a.e(ll(ue,w,B,ee),{u_image:0,u_image_height:Q}),Fl=(ue,w,B,Q,ee)=>{let le=ue.transform,Fe=rl(w,le);return{u_matrix:As(ue,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/Fn(w,1,le.zoom),u_device_pixel_ratio:ue.pixelRatio,u_image:0,u_scale:[Fe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/le.pixelsToGLUnits[0],1/le.pixelsToGLUnits[1]]}},us=(ue,w,B,Q,ee,le)=>{let Fe=ue.lineAtlas,Ze=rl(w,ue.transform),ut=B.layout.get(\"line-cap\")===\"round\",Mt=Fe.getDash(Q.from,ut),Jt=Fe.getDash(Q.to,ut),$t=Mt.width*ee.fromScale,yr=Jt.width*ee.toScale;return a.e(ll(ue,w,B,le),{u_patternscale_a:[Ze/$t,-Mt.height/2],u_patternscale_b:[Ze/yr,-Jt.height/2],u_sdfgamma:Fe.width/(256*Math.min($t,yr)*ue.pixelRatio)/2,u_image:0,u_tex_y_a:Mt.y,u_tex_y_b:Jt.y,u_mix:ee.t})};function rl(ue,w){return 1/Fn(ue,1,w.tileZoom)}function As(ue,w,B,Q){return ue.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let cl=(ue,w,B,Q,ee)=>{return{u_matrix:ue,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(Fe=ee.paint.get(\"raster-saturation\"),Fe>0?1-1/(1.001-Fe):-Fe),u_contrast_factor:(le=ee.paint.get(\"raster-contrast\"),le>0?1/(1-le):1+le),u_spin_weights:Ks(ee.paint.get(\"raster-hue-rotate\"))};var le,Fe};function Ks(ue){ue*=Math.PI/180;let w=Math.sin(ue),B=Math.cos(ue);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let zs=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr)=>{let ve=Fe.transform;return{u_is_size_zoom_constant:+(ue===\"constant\"||ue===\"source\"),u_is_size_feature_constant:+(ue===\"constant\"||ue===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:ve.cameraToCenterDistance,u_pitch:ve.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:ve.width/ve.height,u_fade_change:Fe.options.fadeDuration?Fe.symbolFadeChange:1,u_matrix:Ze,u_label_plane_matrix:ut,u_coord_matrix:Mt,u_is_text:+$t,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:le,u_texsize:yr,u_texture:0,u_translation:Jt,u_pitched_scale:Cr}},Io=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr,ve)=>{let xe=Fe.transform;return a.e(zs(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,ve),{u_gamma_scale:Q?Math.cos(xe._pitch)*xe.cameraToCenterDistance:1,u_device_pixel_ratio:Fe.pixelRatio,u_is_halo:+Cr})},ls=(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr)=>a.e(Io(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,!0,$t,!0,Cr),{u_texsize_icon:yr,u_texture_icon:1}),Yl=(ue,w,B)=>({u_matrix:ue,u_opacity:w,u_color:B}),Su=(ue,w,B,Q,ee,le)=>a.e((function(Fe,Ze,ut,Mt){let 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a.aO(ue,w.u_units_to_pixels),u_patternscale_a:new a.aO(ue,w.u_patternscale_a),u_patternscale_b:new a.aO(ue,w.u_patternscale_b),u_sdfgamma:new a.aI(ue,w.u_sdfgamma),u_image:new a.aH(ue,w.u_image),u_tex_y_a:new a.aI(ue,w.u_tex_y_a),u_tex_y_b:new a.aI(ue,w.u_tex_y_b),u_mix:new a.aI(ue,w.u_mix)}),raster:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_tl_parent:new a.aO(ue,w.u_tl_parent),u_scale_parent:new a.aI(ue,w.u_scale_parent),u_buffer_scale:new a.aI(ue,w.u_buffer_scale),u_fade_t:new a.aI(ue,w.u_fade_t),u_opacity:new a.aI(ue,w.u_opacity),u_image0:new a.aH(ue,w.u_image0),u_image1:new a.aH(ue,w.u_image1),u_brightness_low:new a.aI(ue,w.u_brightness_low),u_brightness_high:new a.aI(ue,w.u_brightness_high),u_saturation_factor:new a.aI(ue,w.u_saturation_factor),u_contrast_factor:new a.aI(ue,w.u_contrast_factor),u_spin_weights:new a.aN(ue,w.u_spin_weights)}),symbolIcon:(ue,w)=>({u_is_size_zoom_constant:new a.aH(ue,w.u_is_size_zoom_constant),u_is_size_feature_constant:new 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a.aI(ue,w.u_size_t),u_size:new a.aI(ue,w.u_size),u_camera_to_center_distance:new a.aI(ue,w.u_camera_to_center_distance),u_pitch:new a.aI(ue,w.u_pitch),u_rotate_symbol:new a.aH(ue,w.u_rotate_symbol),u_aspect_ratio:new a.aI(ue,w.u_aspect_ratio),u_fade_change:new a.aI(ue,w.u_fade_change),u_matrix:new a.aJ(ue,w.u_matrix),u_label_plane_matrix:new a.aJ(ue,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(ue,w.u_coord_matrix),u_is_text:new a.aH(ue,w.u_is_text),u_pitch_with_map:new a.aH(ue,w.u_pitch_with_map),u_is_along_line:new a.aH(ue,w.u_is_along_line),u_is_variable_anchor:new a.aH(ue,w.u_is_variable_anchor),u_texsize:new a.aO(ue,w.u_texsize),u_texture:new a.aH(ue,w.u_texture),u_gamma_scale:new a.aI(ue,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(ue,w.u_device_pixel_ratio),u_is_halo:new a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),symbolTextAndIcon:(ue,w)=>({u_is_size_zoom_constant:new 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a.aH(ue,w.u_is_halo),u_translation:new a.aO(ue,w.u_translation),u_pitched_scale:new a.aI(ue,w.u_pitched_scale)}),background:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_color:new a.aL(ue,w.u_color)}),backgroundPattern:(ue,w)=>({u_matrix:new a.aJ(ue,w.u_matrix),u_opacity:new a.aI(ue,w.u_opacity),u_image:new a.aH(ue,w.u_image),u_pattern_tl_a:new a.aO(ue,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(ue,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(ue,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(ue,w.u_pattern_br_b),u_texsize:new a.aO(ue,w.u_texsize),u_mix:new a.aI(ue,w.u_mix),u_pattern_size_a:new a.aO(ue,w.u_pattern_size_a),u_pattern_size_b:new a.aO(ue,w.u_pattern_size_b),u_scale_a:new a.aI(ue,w.u_scale_a),u_scale_b:new a.aI(ue,w.u_scale_b),u_pixel_coord_upper:new a.aO(ue,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(ue,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(ue,w.u_tile_units_to_pixels)}),terrain:(ue,w)=>({u_matrix:new 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ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Rn={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class _a{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let le=w.gl;this.buffer=le.createBuffer(),w.bindVertexBuffer.set(this.buffer),le.bufferData(le.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?le.DYNAMIC_DRAW:le.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q<this.attributes.length;Q++){let ee=B.attributes[this.attributes[Q].name];ee!==void 0&&w.enableVertexAttribArray(ee)}}setVertexAttribPointers(w,B,Q){for(let ee=0;ee<this.attributes.length;ee++){let le=this.attributes[ee],Fe=B.attributes[le.name];Fe!==void 0&&w.vertexAttribPointer(Fe,le.components,w[Rn[le.type]],!1,this.itemSize,le.offset+this.itemSize*(Q||0))}}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let Vu=new WeakMap;function zl(ue){var w;if(Vu.has(ue))return Vu.get(ue);{let B=(w=ue.getParameter(ue.VERSION))===null||w===void 0?void 0:w.startsWith(\"WebGL 2.0\");return Vu.set(ue,B),B}}class xo{constructor(w){this.gl=w.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(w){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class Kl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.clearColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class Ns extends xo{getDefault(){return 1}set(w){(w!==this.current||this.dirty)&&(this.gl.clearDepth(w),this.current=w,this.dirty=!1)}}class Hl extends xo{getDefault(){return 0}set(w){(w!==this.current||this.dirty)&&(this.gl.clearStencil(w),this.current=w,this.dirty=!1)}}class ac extends xo{getDefault(){return[!0,!0,!0,!0]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.colorMask(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class oa extends xo{getDefault(){return!0}set(w){(w!==this.current||this.dirty)&&(this.gl.depthMask(w),this.current=w,this.dirty=!1)}}class qo extends xo{getDefault(){return 255}set(w){(w!==this.current||this.dirty)&&(this.gl.stencilMask(w),this.current=w,this.dirty=!1)}}class Oo extends xo{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(w){let B=this.current;(w.func!==B.func||w.ref!==B.ref||w.mask!==B.mask||this.dirty)&&(this.gl.stencilFunc(w.func,w.ref,w.mask),this.current=w,this.dirty=!1)}}class ql extends xo{getDefault(){let w=this.gl;return[w.KEEP,w.KEEP,w.KEEP]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||this.dirty)&&(this.gl.stencilOp(w[0],w[1],w[2]),this.current=w,this.dirty=!1)}}class Pc extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.STENCIL_TEST):B.disable(B.STENCIL_TEST),this.current=w,this.dirty=!1}}class Do extends xo{getDefault(){return[0,1]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.depthRange(w[0],w[1]),this.current=w,this.dirty=!1)}}class nf extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.DEPTH_TEST):B.disable(B.DEPTH_TEST),this.current=w,this.dirty=!1}}class Vf extends xo{getDefault(){return this.gl.LESS}set(w){(w!==this.current||this.dirty)&&(this.gl.depthFunc(w),this.current=w,this.dirty=!1)}}class pl extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.BLEND):B.disable(B.BLEND),this.current=w,this.dirty=!1}}class Zc extends xo{getDefault(){let w=this.gl;return[w.ONE,w.ZERO]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||this.dirty)&&(this.gl.blendFunc(w[0],w[1]),this.current=w,this.dirty=!1)}}class Jl extends xo{getDefault(){return a.aM.transparent}set(w){let B=this.current;(w.r!==B.r||w.g!==B.g||w.b!==B.b||w.a!==B.a||this.dirty)&&(this.gl.blendColor(w.r,w.g,w.b,w.a),this.current=w,this.dirty=!1)}}class qs extends xo{getDefault(){return this.gl.FUNC_ADD}set(w){(w!==this.current||this.dirty)&&(this.gl.blendEquation(w),this.current=w,this.dirty=!1)}}class yu extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;w?B.enable(B.CULL_FACE):B.disable(B.CULL_FACE),this.current=w,this.dirty=!1}}class oc extends xo{getDefault(){return this.gl.BACK}set(w){(w!==this.current||this.dirty)&&(this.gl.cullFace(w),this.current=w,this.dirty=!1)}}class Cf extends xo{getDefault(){return this.gl.CCW}set(w){(w!==this.current||this.dirty)&&(this.gl.frontFace(w),this.current=w,this.dirty=!1)}}class sc extends xo{getDefault(){return null}set(w){(w!==this.current||this.dirty)&&(this.gl.useProgram(w),this.current=w,this.dirty=!1)}}class jh extends xo{getDefault(){return this.gl.TEXTURE0}set(w){(w!==this.current||this.dirty)&&(this.gl.activeTexture(w),this.current=w,this.dirty=!1)}}class Lf extends xo{getDefault(){let w=this.gl;return[0,0,w.drawingBufferWidth,w.drawingBufferHeight]}set(w){let B=this.current;(w[0]!==B[0]||w[1]!==B[1]||w[2]!==B[2]||w[3]!==B[3]||this.dirty)&&(this.gl.viewport(w[0],w[1],w[2],w[3]),this.current=w,this.dirty=!1)}}class cs extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindFramebuffer(B.FRAMEBUFFER,w),this.current=w,this.dirty=!1}}class af extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindRenderbuffer(B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gf extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindTexture(B.TEXTURE_2D,w),this.current=w,this.dirty=!1}}class $l extends xo{getDefault(){return null}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.bindBuffer(B.ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class fl extends xo{getDefault(){return null}set(w){let B=this.gl;B.bindBuffer(B.ELEMENT_ARRAY_BUFFER,w),this.current=w,this.dirty=!1}}class lc extends xo{getDefault(){return null}set(w){var B;if(w===this.current&&!this.dirty)return;let Q=this.gl;zl(Q)?Q.bindVertexArray(w):(B=Q.getExtension(\"OES_vertex_array_object\"))===null||B===void 0||B.bindVertexArrayOES(w),this.current=w,this.dirty=!1}}class Fu extends xo{getDefault(){return 4}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_ALIGNMENT,w),this.current=w,this.dirty=!1}}class Es extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_PREMULTIPLY_ALPHA_WEBGL,w),this.current=w,this.dirty=!1}}class Hs extends xo{getDefault(){return!1}set(w){if(w===this.current&&!this.dirty)return;let B=this.gl;B.pixelStorei(B.UNPACK_FLIP_Y_WEBGL,w),this.current=w,this.dirty=!1}}class Go extends xo{constructor(w,B){super(w),this.context=w,this.parent=B}getDefault(){return null}}class ps extends Go{setDirty(){this.dirty=!0}set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,w,0),this.current=w,this.dirty=!1}}class uc extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class bl extends Go{set(w){if(w===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);let B=this.gl;B.framebufferRenderbuffer(B.FRAMEBUFFER,B.DEPTH_STENCIL_ATTACHMENT,B.RENDERBUFFER,w),this.current=w,this.dirty=!1}}class Gu{constructor(w,B,Q,ee,le){this.context=w,this.width=B,this.height=Q;let Fe=w.gl,Ze=this.framebuffer=Fe.createFramebuffer();if(this.colorAttachment=new ps(w,Ze),ee)this.depthAttachment=le?new bl(w,Ze):new uc(w,Ze);else if(le)throw new Error(\"Stencil cannot be set without depth\");if(Fe.checkFramebufferStatus(Fe.FRAMEBUFFER)!==Fe.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){let w=this.context.gl,B=this.colorAttachment.get();if(B&&w.deleteTexture(B),this.depthAttachment){let Q=this.depthAttachment.get();Q&&w.deleteRenderbuffer(Q)}w.deleteFramebuffer(this.framebuffer)}}class Os{constructor(w,B,Q){this.blendFunction=w,this.blendColor=B,this.mask=Q}}Os.Replace=[1,0],Os.disabled=new Os(Os.Replace,a.aM.transparent,[!1,!1,!1,!1]),Os.unblended=new Os(Os.Replace,a.aM.transparent,[!0,!0,!0,!0]),Os.alphaBlended=new Os([1,771],a.aM.transparent,[!0,!0,!0,!0]);class od{constructor(w){var B,Q;if(this.gl=w,this.clearColor=new Kl(this),this.clearDepth=new Ns(this),this.clearStencil=new Hl(this),this.colorMask=new ac(this),this.depthMask=new oa(this),this.stencilMask=new qo(this),this.stencilFunc=new Oo(this),this.stencilOp=new ql(this),this.stencilTest=new Pc(this),this.depthRange=new Do(this),this.depthTest=new nf(this),this.depthFunc=new Vf(this),this.blend=new pl(this),this.blendFunc=new Zc(this),this.blendColor=new Jl(this),this.blendEquation=new qs(this),this.cullFace=new yu(this),this.cullFaceSide=new oc(this),this.frontFace=new Cf(this),this.program=new sc(this),this.activeTexture=new jh(this),this.viewport=new Lf(this),this.bindFramebuffer=new cs(this),this.bindRenderbuffer=new af(this),this.bindTexture=new Gf(this),this.bindVertexBuffer=new $l(this),this.bindElementBuffer=new fl(this),this.bindVertexArray=new lc(this),this.pixelStoreUnpack=new Fu(this),this.pixelStoreUnpackPremultiplyAlpha=new Es(this),this.pixelStoreUnpackFlipY=new Hs(this),this.extTextureFilterAnisotropic=w.getExtension(\"EXT_texture_filter_anisotropic\")||w.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||w.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=w.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=w.getParameter(w.MAX_TEXTURE_SIZE),zl(w)){this.HALF_FLOAT=w.HALF_FLOAT;let ee=w.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=(B=w.RGBA16F)!==null&&B!==void 0?B:ee==null?void 0:ee.RGBA16F_EXT,this.RGB16F=(Q=w.RGB16F)!==null&&Q!==void 0?Q:ee==null?void 0:ee.RGB16F_EXT,w.getExtension(\"EXT_color_buffer_float\")}else{w.getExtension(\"EXT_color_buffer_half_float\"),w.getExtension(\"OES_texture_half_float_linear\");let ee=w.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=ee==null?void 0:ee.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(w,B){return new bs(this,w,B)}createVertexBuffer(w,B,Q){return new _a(this,w,B,Q)}createRenderbuffer(w,B,Q){let ee=this.gl,le=ee.createRenderbuffer();return this.bindRenderbuffer.set(le),ee.renderbufferStorage(ee.RENDERBUFFER,w,B,Q),this.bindRenderbuffer.set(null),le}createFramebuffer(w,B,Q,ee){return new Gu(this,w,B,Q,ee)}clear({color:w,depth:B,stencil:Q}){let ee=this.gl,le=0;w&&(le|=ee.COLOR_BUFFER_BIT,this.clearColor.set(w),this.colorMask.set([!0,!0,!0,!0])),B!==void 0&&(le|=ee.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(B),this.depthMask.set(!0)),Q!==void 0&&(le|=ee.STENCIL_BUFFER_BIT,this.clearStencil.set(Q),this.stencilMask.set(255)),ee.clear(le)}setCullFace(w){w.enable===!1?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(w.mode),this.frontFace.set(w.frontFace))}setDepthMode(w){w.func!==this.gl.ALWAYS||w.mask?(this.depthTest.set(!0),this.depthFunc.set(w.func),this.depthMask.set(w.mask),this.depthRange.set(w.range)):this.depthTest.set(!1)}setStencilMode(w){w.test.func!==this.gl.ALWAYS||w.mask?(this.stencilTest.set(!0),this.stencilMask.set(w.mask),this.stencilOp.set([w.fail,w.depthFail,w.pass]),this.stencilFunc.set({func:w.test.func,ref:w.ref,mask:w.test.mask})):this.stencilTest.set(!1)}setColorMode(w){a.aE(w.blendFunction,Os.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(w.blendFunction),this.blendColor.set(w.blendColor)),this.colorMask.set(w.mask)}createVertexArray(){var w;return zl(this.gl)?this.gl.createVertexArray():(w=this.gl.getExtension(\"OES_vertex_array_object\"))===null||w===void 0?void 0:w.createVertexArrayOES()}deleteVertexArray(w){var B;return zl(this.gl)?this.gl.deleteVertexArray(w):(B=this.gl.getExtension(\"OES_vertex_array_object\"))===null||B===void 0?void 0:B.deleteVertexArrayOES(w)}unbindVAO(){this.bindVertexArray.set(null)}}class Po{constructor(w,B,Q){this.func=w,this.mask=B,this.range=Q}}Po.ReadOnly=!1,Po.ReadWrite=!0,Po.disabled=new Po(519,Po.ReadOnly,[0,1]);let sd=7680;class Ko{constructor(w,B,Q,ee,le,Fe){this.test=w,this.ref=B,this.mask=Q,this.fail=ee,this.depthFail=le,this.pass=Fe}}Ko.disabled=new Ko({func:519,mask:0},0,0,sd,sd,sd);class Pa{constructor(w,B,Q){this.enable=w,this.mode=B,this.frontFace=Q}}let of;function Hu(ue,w,B,Q,ee){let le=ue.context,Fe=le.gl,Ze=ue.useProgram(\"collisionBox\"),ut=[],Mt=0,Jt=0;for(let ze=0;ze<Q.length;ze++){let Qe=Q[ze],Xe=w.getTile(Qe).getBucket(B);if(!Xe)continue;let nt=ee?Xe.textCollisionBox:Xe.iconCollisionBox,qt=Xe.collisionCircleArray;if(qt.length>0){let Wt=a.H();a.aQ(Wt,Xe.placementInvProjMatrix,ue.transform.glCoordMatrix),a.aQ(Wt,Wt,Xe.placementViewportMatrix),ut.push({circleArray:qt,circleOffset:Jt,transform:Qe.posMatrix,invTransform:Wt,coord:Qe}),Mt+=qt.length/4,Jt=Mt}nt&&Ze.draw(le,Fe.LINES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,{u_matrix:Qe.posMatrix,u_pixel_extrude_scale:[1/($t=ue.transform).width,1/$t.height]},ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Qe),B.id,nt.layoutVertexBuffer,nt.indexBuffer,nt.segments,null,ue.transform.zoom,null,null,nt.collisionVertexBuffer)}var $t;if(!ee||!ut.length)return;let yr=ue.useProgram(\"collisionCircle\"),Cr=new a.aR;Cr.resize(4*Mt),Cr._trim();let ve=0;for(let ze of ut)for(let Qe=0;Qe<ze.circleArray.length/4;Qe++){let Xe=4*Qe,nt=ze.circleArray[Xe+0],qt=ze.circleArray[Xe+1],Wt=ze.circleArray[Xe+2],nr=ze.circleArray[Xe+3];Cr.emplace(ve++,nt,qt,Wt,nr,0),Cr.emplace(ve++,nt,qt,Wt,nr,1),Cr.emplace(ve++,nt,qt,Wt,nr,2),Cr.emplace(ve++,nt,qt,Wt,nr,3)}(!of||of.length<2*Mt)&&(of=(function(ze){let Qe=2*ze,Xe=new a.aT;Xe.resize(Qe),Xe._trim();for(let nt=0;nt<Qe;nt++){let qt=6*nt;Xe.uint16[qt+0]=4*nt+0,Xe.uint16[qt+1]=4*nt+1,Xe.uint16[qt+2]=4*nt+2,Xe.uint16[qt+3]=4*nt+2,Xe.uint16[qt+4]=4*nt+3,Xe.uint16[qt+5]=4*nt+0}return Xe})(Mt));let xe=le.createIndexBuffer(of,!0),Ie=le.createVertexBuffer(Cr,a.aS.members,!0);for(let ze of ut){let Qe=No(ze.transform,ze.invTransform,ue.transform);yr.draw(le,Fe.TRIANGLES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,Qe,ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(ze.coord),B.id,Ie,xe,a.a0.simpleSegment(0,2*ze.circleOffset,ze.circleArray.length,ze.circleArray.length/2),null,ue.transform.zoom,null,null,null)}Ie.destroy(),xe.destroy()}Pa.disabled=new Pa(!1,1029,2305),Pa.backCCW=new Pa(!0,1029,2305);let wl=a.an(new Float32Array(16));function Hf(ue,w,B,Q,ee,le){let{horizontalAlign:Fe,verticalAlign:Ze}=a.au(ue);return new a.P((-(Fe-.5)*w/ee+Q[0])*le,(-(Ze-.5)*B/ee+Q[1])*le)}function Ic(ue,w,B,Q,ee,le){let Fe=w.tileAnchorPoint.add(new a.P(w.translation[0],w.translation[1]));if(w.pitchWithMap){let Ze=Q.mult(le);B||(Ze=Ze.rotate(-ee));let ut=Fe.add(Ze);return gt(ut.x,ut.y,w.labelPlaneMatrix,w.getElevation).point}if(B){let Ze=Mr(w.tileAnchorPoint.x+1,w.tileAnchorPoint.y,w).point.sub(ue),ut=Math.atan(Ze.y/Ze.x)+(Ze.x<0?Math.PI:0);return ue.add(Q.rotate(ut))}return ue.add(Q)}function yf(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t,yr,Cr){let ve=ue.text.placedSymbolArray,xe=ue.text.dynamicLayoutVertexArray,Ie=ue.icon.dynamicLayoutVertexArray,ze={};xe.clear();for(let Qe=0;Qe<ve.length;Qe++){let Xe=ve.get(Qe),nt=Xe.hidden||!Xe.crossTileID||ue.allowVerticalPlacement&&!Xe.placedOrientation?null:Q[Xe.crossTileID];if(nt){let qt=new a.P(Xe.anchorX,Xe.anchorY),Wt={getElevation:Cr,width:ee.width,height:ee.height,labelPlaneMatrix:le,lineVertexArray:null,pitchWithMap:B,projection:Jt,projectionCache:null,tileAnchorPoint:qt,translation:$t,unwrappedTileID:yr},nr=B?gt(qt.x,qt.y,Fe,Cr):Mr(qt.x,qt.y,Wt),fr=Ge(ee.cameraToCenterDistance,nr.signedDistanceFromCamera),br=a.ai(ue.textSizeData,ut,Xe)*fr/a.ap;B&&(br*=ue.tilePixelRatio/Ze);let{width:Fr,height:Hr,anchor:ri,textOffset:Ci,textBoxScale:cn}=nt,sn=Hf(ri,Fr,Hr,Ci,cn,br),Ln=Jt.getPitchedTextCorrection(ee,qt.add(new a.P($t[0],$t[1])),yr),Kn=Ic(nr.point,Wt,w,sn,ee.angle,Ln),Aa=ue.allowVerticalPlacement&&Xe.placedOrientation===a.ah.vertical?Math.PI/2:0;for(let fa=0;fa<Xe.numGlyphs;fa++)a.aj(xe,Kn,Aa);Mt&&Xe.associatedIconIndex>=0&&(ze[Xe.associatedIconIndex]={shiftedAnchor:Kn,angle:Aa})}else Pi(Xe.numGlyphs,xe)}if(Mt){Ie.clear();let Qe=ue.icon.placedSymbolArray;for(let Xe=0;Xe<Qe.length;Xe++){let nt=Qe.get(Xe);if(nt.hidden)Pi(nt.numGlyphs,Ie);else{let qt=ze[Xe];if(qt)for(let Wt=0;Wt<nt.numGlyphs;Wt++)a.aj(Ie,qt.shiftedAnchor,qt.angle);else Pi(nt.numGlyphs,Ie)}}ue.icon.dynamicLayoutVertexBuffer.updateData(Ie)}ue.text.dynamicLayoutVertexBuffer.updateData(xe)}function Ol(ue,w,B){return B.iconsInText&&w?\"symbolTextAndIcon\":ue?\"symbolSDF\":\"symbolIcon\"}function Ah(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt,Jt,$t){let yr=ue.context,Cr=yr.gl,ve=ue.transform,xe=yn(),Ie=Ze===\"map\",ze=ut===\"map\",Qe=Ze!==\"viewport\"&&B.layout.get(\"symbol-placement\")!==\"point\",Xe=Ie&&!ze&&!Qe,nt=!ze&&Qe,qt=!B.layout.get(\"symbol-sort-key\").isConstant(),Wt=!1,nr=ue.depthModeForSublayer(0,Po.ReadOnly),fr=B._unevaluatedLayout.hasValue(\"text-variable-anchor\")||B._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),br=[],Fr=xe.getCircleRadiusCorrection(ve);for(let Hr of Q){let ri=w.getTile(Hr),Ci=ri.getBucket(B);if(!Ci)continue;let cn=ee?Ci.text:Ci.icon;if(!cn||!cn.segments.get().length||!cn.hasVisibleVertices)continue;let sn=cn.programConfigurations.get(B.id),Ln=ee||Ci.sdfIcons,Kn=ee?Ci.textSizeData:Ci.iconSizeData,Aa=ze||ve.pitch!==0,fa=ue.useProgram(Ol(Ln,ee,Ci),sn),$a=a.ag(Kn,ve.zoom),Co=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Hr),Qa,mo,Bo,Ps,Ts=[0,0],wo=null;if(ee)mo=ri.glyphAtlasTexture,Bo=Cr.LINEAR,Qa=ri.glyphAtlasTexture.size,Ci.iconsInText&&(Ts=ri.imageAtlasTexture.size,wo=ri.imageAtlasTexture,Ps=Aa||ue.options.rotating||ue.options.zooming||Kn.kind===\"composite\"||Kn.kind===\"camera\"?Cr.LINEAR:Cr.NEAREST);else{let Ye=B.layout.get(\"icon-size\").constantOr(0)!==1||Ci.iconsNeedLinear;mo=ri.imageAtlasTexture,Bo=Ln||ue.options.rotating||ue.options.zooming||Ye||Aa?Cr.LINEAR:Cr.NEAREST,Qa=ri.imageAtlasTexture.size}let To=Fn(ri,1,ue.transform.zoom),hl=nt?Hr.posMatrix:wl,Nl=qr(hl,ze,Ie,ue.transform,To),Lu=jr(hl,ze,Ie,ue.transform,To),au=jr(Hr.posMatrix,ze,Ie,ue.transform,To),Js=xe.translatePosition(ue.transform,ri,le,Fe),eu=fr&&Ci.hasTextData(),dc=B.layout.get(\"icon-text-fit\")!==\"none\"&&eu&&Ci.hasIconData();if(Qe){let Ye=ue.style.map.terrain?(ot,Xt)=>ue.style.map.terrain.getElevation(Hr,ot,Xt):null,Pt=B.layout.get(\"text-rotation-alignment\")===\"map\";We(Ci,Hr.posMatrix,ue,ee,Nl,au,ze,Mt,Pt,xe,Hr.toUnwrapped(),ve.width,ve.height,Js,Ye)}let Al=Hr.posMatrix,Sl=ee&&fr||dc,X=Qe||Sl?wl:Nl,se=Lu,Te=Ln&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,qe;qe=Ln?Ci.iconsInText?ls(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,Qa,Ts,Fr):Io(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,ee,Qa,!0,Fr):zs(Kn.kind,$a,Xe,ze,Qe,Sl,ue,Al,X,se,Js,ee,Qa,Fr);let Ve={program:fa,buffers:cn,uniformValues:qe,atlasTexture:mo,atlasTextureIcon:wo,atlasInterpolation:Bo,atlasInterpolationIcon:Ps,isSDF:Ln,hasHalo:Te};if(qt&&Ci.canOverlap){Wt=!0;let Ye=cn.segments.get();for(let Pt of Ye)br.push({segments:new a.a0([Pt]),sortKey:Pt.sortKey,state:Ve,terrainData:Co})}else br.push({segments:cn.segments,sortKey:0,state:Ve,terrainData:Co})}Wt&&br.sort(((Hr,ri)=>Hr.sortKey-ri.sortKey));for(let Hr of br){let ri=Hr.state;if(yr.activeTexture.set(Cr.TEXTURE0),ri.atlasTexture.bind(ri.atlasInterpolation,Cr.CLAMP_TO_EDGE),ri.atlasTextureIcon&&(yr.activeTexture.set(Cr.TEXTURE1),ri.atlasTextureIcon&&ri.atlasTextureIcon.bind(ri.atlasInterpolationIcon,Cr.CLAMP_TO_EDGE)),ri.isSDF){let Ci=ri.uniformValues;ri.hasHalo&&(Ci.u_is_halo=1,Qf(ri.buffers,Hr.segments,B,ue,ri.program,nr,Jt,$t,Ci,Hr.terrainData)),Ci.u_is_halo=0}Qf(ri.buffers,Hr.segments,B,ue,ri.program,nr,Jt,$t,ri.uniformValues,Hr.terrainData)}}function Qf(ue,w,B,Q,ee,le,Fe,Ze,ut,Mt){let Jt=Q.context;ee.draw(Jt,Jt.gl.TRIANGLES,le,Fe,Ze,Pa.disabled,ut,Mt,B.id,ue.layoutVertexBuffer,ue.indexBuffer,w,B.paint,Q.transform.zoom,ue.programConfigurations.get(B.id),ue.dynamicLayoutVertexBuffer,ue.opacityVertexBuffer)}function _f(ue,w,B,Q){let ee=ue.context,le=ee.gl,Fe=Ko.disabled,Ze=new Os([le.ONE,le.ONE],a.aM.transparent,[!0,!0,!0,!0]),ut=w.getBucket(B);if(!ut)return;let Mt=Q.key,Jt=B.heatmapFbos.get(Mt);Jt||(Jt=eh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(Mt,Jt)),ee.bindFramebuffer.set(Jt.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let $t=ut.programConfigurations.get(B.id),yr=ue.useProgram(\"heatmap\",$t),Cr=ue.style.map.terrain.getTerrainData(Q);yr.draw(ee,le.TRIANGLES,Po.disabled,Fe,Ze,Pa.disabled,ko(Q.posMatrix,w,ue.transform.zoom,B.paint.get(\"heatmap-intensity\")),Cr,B.id,ut.layoutVertexBuffer,ut.indexBuffer,ut.segments,B.paint,ue.transform.zoom,$t)}function Yc(ue,w,B){let Q=ue.context,ee=Q.gl;Q.setColorMode(ue.colorModeForRenderPass());let le=th(Q,w),Fe=B.key,Ze=w.heatmapFbos.get(Fe);Ze&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Ze.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),le.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),ue.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,Po.disabled,Ko.disabled,ue.colorModeForRenderPass(),Pa.disabled,Ds(ue,w,0,1),null,w.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments,w.paint,ue.transform.zoom),Ze.destroy(),w.heatmapFbos.delete(Fe))}function eh(ue,w,B){var Q,ee;let le=ue.gl,Fe=le.createTexture();le.bindTexture(le.TEXTURE_2D,Fe),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_S,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_WRAP_T,le.CLAMP_TO_EDGE),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MIN_FILTER,le.LINEAR),le.texParameteri(le.TEXTURE_2D,le.TEXTURE_MAG_FILTER,le.LINEAR);let Ze=(Q=ue.HALF_FLOAT)!==null&&Q!==void 0?Q:le.UNSIGNED_BYTE,ut=(ee=ue.RGBA16F)!==null&&ee!==void 0?ee:le.RGBA;le.texImage2D(le.TEXTURE_2D,0,ut,w,B,0,le.RGBA,Ze,null);let Mt=ue.createFramebuffer(w,B,!1,!1);return Mt.colorAttachment.set(Fe),Mt}function th(ue,w){return w.colorRampTexture||(w.colorRampTexture=new g(ue,w.colorRamp,ue.gl.RGBA)),w.colorRampTexture}function ju(ue,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let le=Q.imageAtlas.patternPositions,Fe=le[B.to.toString()],Ze=le[B.from.toString()];if(!Fe&&Ze&&(Fe=Ze),!Ze&&Fe&&(Ze=Fe),!Fe||!Ze){let ut=ee.getPaintProperty(w);Fe=le[ut],Ze=le[ut]}Fe&&Ze&&ue.setConstantPatternPositions(Fe,Ze)}function jf(ue,w,B,Q,ee,le,Fe){let Ze=ue.context.gl,ut=\"fill-pattern\",Mt=B.paint.get(ut),Jt=Mt&&Mt.constantOr(1),$t=B.getCrossfadeParameters(),yr,Cr,ve,xe,Ie;Fe?(Cr=Jt&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",yr=Ze.LINES):(Cr=Jt?\"fillPattern\":\"fill\",yr=Ze.TRIANGLES);let ze=Mt.constantOr(null);for(let Qe of Q){let Xe=w.getTile(Qe);if(Jt&&!Xe.patternsLoaded())continue;let nt=Xe.getBucket(B);if(!nt)continue;let qt=nt.programConfigurations.get(B.id),Wt=ue.useProgram(Cr,qt),nr=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(Qe);Jt&&(ue.context.activeTexture.set(Ze.TEXTURE0),Xe.imageAtlasTexture.bind(Ze.LINEAR,Ze.CLAMP_TO_EDGE),qt.updatePaintBuffers($t)),ju(qt,ut,ze,Xe,B);let fr=nr?Qe:null,br=ue.translatePosMatrix(fr?fr.posMatrix:Qe.posMatrix,Xe,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(Fe){xe=nt.indexBuffer2,Ie=nt.segments2;let Fr=[Ze.drawingBufferWidth,Ze.drawingBufferHeight];ve=Cr===\"fillOutlinePattern\"&&Jt?Ma(br,ue,$t,Xe,Fr):ea(br,Fr)}else xe=nt.indexBuffer,Ie=nt.segments,ve=Jt?ya(br,ue,$t,Xe):_n(br);Wt.draw(ue.context,yr,ee,ue.stencilModeForClipping(Qe),le,Pa.disabled,ve,nr,B.id,nt.layoutVertexBuffer,xe,Ie,B.paint,ue.transform.zoom,qt)}}function cc(ue,w,B,Q,ee,le,Fe){let Ze=ue.context,ut=Ze.gl,Mt=\"fill-extrusion-pattern\",Jt=B.paint.get(Mt),$t=Jt.constantOr(1),yr=B.getCrossfadeParameters(),Cr=B.paint.get(\"fill-extrusion-opacity\"),ve=Jt.constantOr(null);for(let xe of Q){let Ie=w.getTile(xe),ze=Ie.getBucket(B);if(!ze)continue;let Qe=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(xe),Xe=ze.programConfigurations.get(B.id),nt=ue.useProgram($t?\"fillExtrusionPattern\":\"fillExtrusion\",Xe);$t&&(ue.context.activeTexture.set(ut.TEXTURE0),Ie.imageAtlasTexture.bind(ut.LINEAR,ut.CLAMP_TO_EDGE),Xe.updatePaintBuffers(yr)),ju(Xe,Mt,ve,Ie,B);let qt=ue.translatePosMatrix(xe.posMatrix,Ie,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Wt=B.paint.get(\"fill-extrusion-vertical-gradient\"),nr=$t?ki(qt,ue,Wt,Cr,xe,yr,Ie):En(qt,ue,Wt,Cr);nt.draw(Ze,Ze.gl.TRIANGLES,ee,le,Fe,Pa.backCCW,nr,Qe,B.id,ze.layoutVertexBuffer,ze.indexBuffer,ze.segments,B.paint,ue.transform.zoom,Xe,ue.style.map.terrain&&ze.centroidVertexBuffer)}}function sf(ue,w,B,Q,ee,le,Fe){let Ze=ue.context,ut=Ze.gl,Mt=B.fbo;if(!Mt)return;let Jt=ue.useProgram(\"hillshade\"),$t=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(w);Ze.activeTexture.set(ut.TEXTURE0),ut.bindTexture(ut.TEXTURE_2D,Mt.colorAttachment.get()),Jt.draw(Ze,ut.TRIANGLES,ee,le,Fe,Pa.disabled,((yr,Cr,ve,xe)=>{let Ie=ve.paint.get(\"hillshade-shadow-color\"),ze=ve.paint.get(\"hillshade-highlight-color\"),Qe=ve.paint.get(\"hillshade-accent-color\"),Xe=ve.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);ve.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(Xe-=yr.transform.angle);let nt=!yr.options.moving;return{u_matrix:xe?xe.posMatrix:yr.transform.calculatePosMatrix(Cr.tileID.toUnwrapped(),nt),u_image:0,u_latrange:Fs(0,Cr.tileID),u_light:[ve.paint.get(\"hillshade-exaggeration\"),Xe],u_shadow:Ie,u_highlight:ze,u_accent:Qe}})(ue,B,Q,$t?w:null),$t,Q.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments)}function Bl(ue,w,B,Q,ee,le){let Fe=ue.context,Ze=Fe.gl,ut=w.dem;if(ut&&ut.data){let Mt=ut.dim,Jt=ut.stride,$t=ut.getPixels();if(Fe.activeTexture.set(Ze.TEXTURE1),Fe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||ue.getTileTexture(Jt),w.demTexture){let Cr=w.demTexture;Cr.update($t,{premultiply:!1}),Cr.bind(Ze.NEAREST,Ze.CLAMP_TO_EDGE)}else w.demTexture=new g(Fe,$t,Ze.RGBA,{premultiply:!1}),w.demTexture.bind(Ze.NEAREST,Ze.CLAMP_TO_EDGE);Fe.activeTexture.set(Ze.TEXTURE0);let yr=w.fbo;if(!yr){let Cr=new g(Fe,{width:Mt,height:Mt,data:null},Ze.RGBA);Cr.bind(Ze.LINEAR,Ze.CLAMP_TO_EDGE),yr=w.fbo=Fe.createFramebuffer(Mt,Mt,!0,!1),yr.colorAttachment.set(Cr.texture)}Fe.bindFramebuffer.set(yr.framebuffer),Fe.viewport.set([0,0,Mt,Mt]),ue.useProgram(\"hillshadePrepare\").draw(Fe,Ze.TRIANGLES,Q,ee,le,Pa.disabled,((Cr,ve)=>{let xe=ve.stride,Ie=a.H();return a.aP(Ie,0,a.X,-a.X,0,0,1),a.J(Ie,Ie,[0,-a.X,0]),{u_matrix:Ie,u_image:1,u_dimension:[xe,xe],u_zoom:Cr.overscaledZ,u_unpack:ve.getUnpackVector()}})(w.tileID,ut),null,B.id,ue.rasterBoundsBuffer,ue.quadTriangleIndexBuffer,ue.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Kc(ue,w,B,Q,ee,le){let Fe=Q.paint.get(\"raster-fade-duration\");if(!le&&Fe>0){let Ze=u.now(),ut=(Ze-ue.timeAdded)/Fe,Mt=w?(Ze-w.timeAdded)/Fe:-1,Jt=B.getSource(),$t=ee.coveringZoomLevel({tileSize:Jt.tileSize,roundZoom:Jt.roundZoom}),yr=!w||Math.abs(w.tileID.overscaledZ-$t)>Math.abs(ue.tileID.overscaledZ-$t),Cr=yr&&ue.refreshedUponExpiration?1:a.ac(yr?ut:1-Mt,0,1);return ue.refreshedUponExpiration&&ut>=1&&(ue.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Cr}:{opacity:Cr,mix:0}}return{opacity:1,mix:0}}let Rc=new a.aM(1,0,0,1),gs=new a.aM(0,1,0,1),Wf=new a.aM(0,0,1,1),Wh=new a.aM(1,0,1,1),rh=new a.aM(0,1,1,1);function lf(ue,w,B,Q){Mu(ue,0,w+B/2,ue.transform.width,B,Q)}function Sh(ue,w,B,Q){Mu(ue,w-B/2,0,B,ue.transform.height,Q)}function Mu(ue,w,B,Q,ee,le){let Fe=ue.context,Ze=Fe.gl;Ze.enable(Ze.SCISSOR_TEST),Ze.scissor(w*ue.pixelRatio,B*ue.pixelRatio,Q*ue.pixelRatio,ee*ue.pixelRatio),Fe.clear({color:le}),Ze.disable(Ze.SCISSOR_TEST)}function ih(ue,w,B){let Q=ue.context,ee=Q.gl,le=B.posMatrix,Fe=ue.useProgram(\"debug\"),Ze=Po.disabled,ut=Ko.disabled,Mt=ue.colorModeForRenderPass(),Jt=\"$debug\",$t=ue.style.map.terrain&&ue.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let yr=w.getTileByID(B.key).latestRawTileData,Cr=Math.floor((yr&&yr.byteLength||0)/1024),ve=w.getTile(B).tileSize,xe=512/Math.min(ve,512)*(B.overscaledZ/ue.transform.zoom)*.5,Ie=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Ie+=` => ${B.overscaledZ}`),(function(ze,Qe){ze.initDebugOverlayCanvas();let Xe=ze.debugOverlayCanvas,nt=ze.context.gl,qt=ze.debugOverlayCanvas.getContext(\"2d\");qt.clearRect(0,0,Xe.width,Xe.height),qt.shadowColor=\"white\",qt.shadowBlur=2,qt.lineWidth=1.5,qt.strokeStyle=\"white\",qt.textBaseline=\"top\",qt.font=\"bold 36px Open Sans, sans-serif\",qt.fillText(Qe,5,5),qt.strokeText(Qe,5,5),ze.debugOverlayTexture.update(Xe),ze.debugOverlayTexture.bind(nt.LINEAR,nt.CLAMP_TO_EDGE)})(ue,`${Ie} ${Cr}kB`),Fe.draw(Q,ee.TRIANGLES,Ze,ut,Os.alphaBlended,Pa.disabled,po(le,a.aM.transparent,xe),null,Jt,ue.debugBuffer,ue.quadTriangleIndexBuffer,ue.debugSegments),Fe.draw(Q,ee.LINE_STRIP,Ze,ut,Mt,Pa.disabled,po(le,a.aM.red),$t,Jt,ue.debugBuffer,ue.tileBorderIndexBuffer,ue.debugSegments)}function js(ue,w,B){let Q=ue.context,ee=Q.gl,le=ue.colorModeForRenderPass(),Fe=new Po(ee.LEQUAL,Po.ReadWrite,ue.depthRangeFor3D),Ze=ue.useProgram(\"terrain\"),ut=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,ue.width,ue.height]);for(let Mt of B){let Jt=ue.renderToTexture.getTexture(Mt),$t=w.getTerrainData(Mt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Jt.texture);let yr=ue.transform.calculatePosMatrix(Mt.tileID.toUnwrapped()),Cr=w.getMeshFrameDelta(ue.transform.zoom),ve=ue.transform.calculateFogMatrix(Mt.tileID.toUnwrapped()),xe=Jr(yr,Cr,ve,ue.style.sky,ue.transform.pitch);Ze.draw(Q,ee.TRIANGLES,Fe,Ko.disabled,le,Pa.backCCW,xe,$t,\"terrain\",ut.vertexBuffer,ut.indexBuffer,ut.segments)}}class Eu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Dc{constructor(w,B){this.context=new od(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=pt.maxUnderzooming+pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Xo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,vo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,vo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,ct.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let le=new a.aX;le.emplaceBack(0,0),le.emplaceBack(1,0),le.emplaceBack(0,1),le.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(le,vo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let Fe=new a.aZ;Fe.emplaceBack(0),Fe.emplaceBack(1),Fe.emplaceBack(3),Fe.emplaceBack(2),Fe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(Fe);let Ze=new a.aY;Ze.emplaceBack(0,1,2),Ze.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(Ze);let ut=this.context.gl;this.stencilClearMode=new Ko({func:ut.ALWAYS,mask:0},0,255,ut.ZERO,ut.ZERO,ut.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,Po.disabled,this.stencilClearMode,Os.disabled,Pa.disabled,Lo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Os.disabled),Q.setDepthMode(Po.disabled);let le=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let Fe of B){let Ze=this._tileClippingMaskIDs[Fe.key]=this.nextStencilID++,ut=this.style.map.terrain&&this.style.map.terrain.getTerrainData(Fe);le.draw(Q,ee.TRIANGLES,Po.disabled,new Ko({func:ee.ALWAYS,mask:0},Ze,255,ee.KEEP,ee.KEEP,ee.REPLACE),Os.disabled,Pa.disabled,Lo(Fe.posMatrix),ut,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new Ko({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new Ko({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort(((Fe,Ze)=>Ze.overscaledZ-Fe.overscaledZ)),ee=Q[Q.length-1].overscaledZ,le=Q[0].overscaledZ-ee+1;if(le>1){this.currentStencilSource=void 0,this.nextStencilID+le>256&&this.clearStencil();let Fe={};for(let Ze=0;Ze<le;Ze++)Fe[Ze+ee]=new Ko({func:B.GEQUAL,mask:255},Ze+this.nextStencilID,255,B.KEEP,B.KEEP,B.REPLACE);return this.nextStencilID+=le,[Fe,Q]}return[{[ee]:Ko.disabled},Q]}colorModeForRenderPass(){let w=this.context.gl;return this._showOverdrawInspector?new Os([w.CONSTANT_COLOR,w.ONE],new a.aM(.125,.125,.125,0),[!0,!0,!0,!0]):this.renderPass===\"opaque\"?Os.unblended:Os.alphaBlended}depthModeForSublayer(w,B,Q){if(!this.opaquePassEnabledForLayer())return Po.disabled;let ee=1-((1+this.currentLayer)*this.numSublayers+w)*this.depthEpsilon;return new Po(Q||this.context.gl.LEQUAL,B,[ee,ee])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(w,B){this.style=w,this.options=B,this.lineAtlas=w.lineAtlas,this.imageManager=w.imageManager,this.glyphManager=w.glyphManager,this.symbolFadeChange=w.placement.symbolFadeChange(u.now()),this.imageManager.beginFrame();let Q=this.style._order,ee=this.style.sourceCaches,le={},Fe={},Ze={};for(let ut in ee){let Mt=ee[ut];Mt.used&&Mt.prepare(this.context),le[ut]=Mt.getVisibleCoordinates(),Fe[ut]=le[ut].slice().reverse(),Ze[ut]=Mt.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let ut=0;ut<Q.length;ut++)if(this.style._layers[Q[ut]].is3D()){this.opaquePassCutoff=ut;break}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(let ut of Q){let Mt=this.style._layers[ut];if(!Mt.hasOffscreenPass()||Mt.isHidden(this.transform.zoom))continue;let Jt=Fe[Mt.source];(Mt.type===\"custom\"||Jt.length)&&this.renderLayer(this,ee[Mt.source],Mt,Jt)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:B.showOverdrawInspector?a.aM.black:a.aM.transparent,depth:1}),this.clearStencil(),this.style.sky&&(function(ut,Mt){let Jt=ut.context,$t=Jt.gl,yr=((ze,Qe,Xe)=>({u_sky_color:ze.properties.get(\"sky-color\"),u_horizon_color:ze.properties.get(\"horizon-color\"),u_horizon:(Qe.height/2+Qe.getHorizon())*Xe,u_sky_horizon_blend:ze.properties.get(\"sky-horizon-blend\")*Qe.height/2*Xe}))(Mt,ut.style.map.transform,ut.pixelRatio),Cr=new Po($t.LEQUAL,Po.ReadWrite,[0,1]),ve=Ko.disabled,xe=ut.colorModeForRenderPass(),Ie=ut.useProgram(\"sky\");if(!Mt.mesh){let ze=new a.aX;ze.emplaceBack(-1,-1),ze.emplaceBack(1,-1),ze.emplaceBack(1,1),ze.emplaceBack(-1,1);let Qe=new a.aY;Qe.emplaceBack(0,1,2),Qe.emplaceBack(0,2,3),Mt.mesh=new Eu(Jt.createVertexBuffer(ze,vo.members),Jt.createIndexBuffer(Qe),a.a0.simpleSegment(0,0,ze.length,Qe.length))}Ie.draw(Jt,$t.TRIANGLES,Cr,ve,xe,Pa.disabled,yr,void 0,\"sky\",Mt.mesh.vertexBuffer,Mt.mesh.indexBuffer,Mt.mesh.segments)})(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let ut=this.style._layers[Q[this.currentLayer]],Mt=ee[ut.source],Jt=le[ut.source];this._renderTileClippingMasks(ut,Jt),this.renderLayer(this,Mt,ut,Jt)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<Q.length;this.currentLayer++){let ut=this.style._layers[Q[this.currentLayer]],Mt=ee[ut.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(ut))continue;let Jt=(ut.type===\"symbol\"?Ze:Fe)[ut.source];this._renderTileClippingMasks(ut,le[ut.source]),this.renderLayer(this,Mt,ut,Jt)}if(this.options.showTileBoundaries){let ut=(function(Mt,Jt){let $t=null,yr=Object.values(Mt._layers).flatMap((Ie=>Ie.source&&!Ie.isHidden(Jt)?[Mt.sourceCaches[Ie.source]]:[])),Cr=yr.filter((Ie=>Ie.getSource().type===\"vector\")),ve=yr.filter((Ie=>Ie.getSource().type!==\"vector\")),xe=Ie=>{(!$t||$t.getSource().maxzoom<Ie.getSource().maxzoom)&&($t=Ie)};return Cr.forEach((Ie=>xe(Ie))),$t||ve.forEach((Ie=>xe(Ie))),$t})(this.style,this.transform.zoom);ut&&(function(Mt,Jt,$t){for(let yr=0;yr<$t.length;yr++)ih(Mt,Jt,$t[yr])})(this,ut,ut.getVisibleCoordinates())}this.options.showPadding&&(function(ut){let Mt=ut.transform.padding;lf(ut,ut.transform.height-(Mt.top||0),3,Rc),lf(ut,Mt.bottom||0,3,gs),Sh(ut,Mt.left||0,3,Wf),Sh(ut,ut.transform.width-(Mt.right||0),3,Wh);let Jt=ut.transform.centerPoint;(function($t,yr,Cr,ve){Mu($t,yr-1,Cr-10,2,20,ve),Mu($t,yr-10,Cr-1,20,2,ve)})(ut,Jt.x,ut.transform.height-Jt.y,rh)})(this),this.context.setDefault()}maybeDrawDepthAndCoords(w){if(!this.style||!this.style.map||!this.style.map.terrain)return;let B=this.terrainFacilitator.matrix,Q=this.transform.modelViewProjectionMatrix,ee=this.terrainFacilitator.dirty;ee||(ee=w?!a.a_(B,Q):!a.a$(B,Q)),ee||(ee=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,(function(le,Fe){let Ze=le.context,ut=Ze.gl,Mt=Os.unblended,Jt=new Po(ut.LEQUAL,Po.ReadWrite,[0,1]),$t=Fe.getTerrainMesh(),yr=Fe.sourceCache.getRenderableTiles(),Cr=le.useProgram(\"terrainDepth\");Ze.bindFramebuffer.set(Fe.getFramebuffer(\"depth\").framebuffer),Ze.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Ze.clear({color:a.aM.transparent,depth:1});for(let ve of yr){let xe=Fe.getTerrainData(ve.tileID),Ie={u_matrix:le.transform.calculatePosMatrix(ve.tileID.toUnwrapped()),u_ele_delta:Fe.getMeshFrameDelta(le.transform.zoom)};Cr.draw(Ze,ut.TRIANGLES,Jt,Ko.disabled,Mt,Pa.backCCW,Ie,xe,\"terrain\",$t.vertexBuffer,$t.indexBuffer,$t.segments)}Ze.bindFramebuffer.set(null),Ze.viewport.set([0,0,le.width,le.height])})(this,this.style.map.terrain),(function(le,Fe){let Ze=le.context,ut=Ze.gl,Mt=Os.unblended,Jt=new Po(ut.LEQUAL,Po.ReadWrite,[0,1]),$t=Fe.getTerrainMesh(),yr=Fe.getCoordsTexture(),Cr=Fe.sourceCache.getRenderableTiles(),ve=le.useProgram(\"terrainCoords\");Ze.bindFramebuffer.set(Fe.getFramebuffer(\"coords\").framebuffer),Ze.viewport.set([0,0,le.width/devicePixelRatio,le.height/devicePixelRatio]),Ze.clear({color:a.aM.transparent,depth:1}),Fe.coordsIndex=[];for(let xe of Cr){let Ie=Fe.getTerrainData(xe.tileID);Ze.activeTexture.set(ut.TEXTURE0),ut.bindTexture(ut.TEXTURE_2D,yr.texture);let ze={u_matrix:le.transform.calculatePosMatrix(xe.tileID.toUnwrapped()),u_terrain_coords_id:(255-Fe.coordsIndex.length)/255,u_texture:0,u_ele_delta:Fe.getMeshFrameDelta(le.transform.zoom)};ve.draw(Ze,ut.TRIANGLES,Jt,Ko.disabled,Mt,Pa.backCCW,ze,Ie,\"terrain\",$t.vertexBuffer,$t.indexBuffer,$t.segments),Fe.coordsIndex.push(xe.tileID.key)}Ze.bindFramebuffer.set(null),Ze.viewport.set([0,0,le.width,le.height])})(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(le,Fe,Ze,ut,Mt){if(le.renderPass!==\"translucent\")return;let Jt=Ko.disabled,$t=le.colorModeForRenderPass();(Ze._unevaluatedLayout.hasValue(\"text-variable-anchor\")||Ze._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&(function(yr,Cr,ve,xe,Ie,ze,Qe,Xe,nt){let qt=Cr.transform,Wt=yn(),nr=Ie===\"map\",fr=ze===\"map\";for(let br of yr){let Fr=xe.getTile(br),Hr=Fr.getBucket(ve);if(!Hr||!Hr.text||!Hr.text.segments.get().length)continue;let ri=a.ag(Hr.textSizeData,qt.zoom),Ci=Fn(Fr,1,Cr.transform.zoom),cn=qr(br.posMatrix,fr,nr,Cr.transform,Ci),sn=ve.layout.get(\"icon-text-fit\")!==\"none\"&&Hr.hasIconData();if(ri){let Ln=Math.pow(2,qt.zoom-Fr.tileID.overscaledZ),Kn=Cr.style.map.terrain?(fa,$a)=>Cr.style.map.terrain.getElevation(br,fa,$a):null,Aa=Wt.translatePosition(qt,Fr,Qe,Xe);yf(Hr,nr,fr,nt,qt,cn,br.posMatrix,Ln,ri,sn,Wt,Aa,br.toUnwrapped(),Kn)}}})(ut,le,Ze,Fe,Ze.layout.get(\"text-rotation-alignment\"),Ze.layout.get(\"text-pitch-alignment\"),Ze.paint.get(\"text-translate\"),Ze.paint.get(\"text-translate-anchor\"),Mt),Ze.paint.get(\"icon-opacity\").constantOr(1)!==0&&Ah(le,Fe,Ze,ut,!1,Ze.paint.get(\"icon-translate\"),Ze.paint.get(\"icon-translate-anchor\"),Ze.layout.get(\"icon-rotation-alignment\"),Ze.layout.get(\"icon-pitch-alignment\"),Ze.layout.get(\"icon-keep-upright\"),Jt,$t),Ze.paint.get(\"text-opacity\").constantOr(1)!==0&&Ah(le,Fe,Ze,ut,!0,Ze.paint.get(\"text-translate\"),Ze.paint.get(\"text-translate-anchor\"),Ze.layout.get(\"text-rotation-alignment\"),Ze.layout.get(\"text-pitch-alignment\"),Ze.layout.get(\"text-keep-upright\"),Jt,$t),Fe.map.showCollisionBoxes&&(Hu(le,Fe,Ze,ut,!0),Hu(le,Fe,Ze,ut,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\")return;let Mt=Ze.paint.get(\"circle-opacity\"),Jt=Ze.paint.get(\"circle-stroke-width\"),$t=Ze.paint.get(\"circle-stroke-opacity\"),yr=!Ze.layout.get(\"circle-sort-key\").isConstant();if(Mt.constantOr(1)===0&&(Jt.constantOr(1)===0||$t.constantOr(1)===0))return;let Cr=le.context,ve=Cr.gl,xe=le.depthModeForSublayer(0,Po.ReadOnly),Ie=Ko.disabled,ze=le.colorModeForRenderPass(),Qe=[];for(let Xe=0;Xe<ut.length;Xe++){let nt=ut[Xe],qt=Fe.getTile(nt),Wt=qt.getBucket(Ze);if(!Wt)continue;let nr=Wt.programConfigurations.get(Ze.id),fr=le.useProgram(\"circle\",nr),br=Wt.layoutVertexBuffer,Fr=Wt.indexBuffer,Hr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(nt),ri={programConfiguration:nr,program:fr,layoutVertexBuffer:br,indexBuffer:Fr,uniformValues:_o(le,nt,qt,Ze),terrainData:Hr};if(yr){let Ci=Wt.segments.get();for(let cn of Ci)Qe.push({segments:new a.a0([cn]),sortKey:cn.sortKey,state:ri})}else Qe.push({segments:Wt.segments,sortKey:0,state:ri})}yr&&Qe.sort(((Xe,nt)=>Xe.sortKey-nt.sortKey));for(let Xe of Qe){let{programConfiguration:nt,program:qt,layoutVertexBuffer:Wt,indexBuffer:nr,uniformValues:fr,terrainData:br}=Xe.state;qt.draw(Cr,ve.TRIANGLES,xe,Ie,ze,Pa.disabled,fr,br,Ze.id,Wt,nr,Xe.segments,Ze.paint,le.transform.zoom,nt)}})(w,B,Q,ee);break;case\"heatmap\":(function(le,Fe,Ze,ut){if(Ze.paint.get(\"heatmap-opacity\")===0)return;let Mt=le.context;if(le.style.map.terrain){for(let Jt of ut){let $t=Fe.getTile(Jt);Fe.hasRenderableParent(Jt)||(le.renderPass===\"offscreen\"?_f(le,$t,Ze,Jt):le.renderPass===\"translucent\"&&Yc(le,Ze,Jt))}Mt.viewport.set([0,0,le.width,le.height])}else le.renderPass===\"offscreen\"?(function(Jt,$t,yr,Cr){let ve=Jt.context,xe=ve.gl,Ie=Ko.disabled,ze=new Os([xe.ONE,xe.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(Qe,Xe,nt){let qt=Qe.gl;Qe.activeTexture.set(qt.TEXTURE1),Qe.viewport.set([0,0,Xe.width/4,Xe.height/4]);let Wt=nt.heatmapFbos.get(a.aU);Wt?(qt.bindTexture(qt.TEXTURE_2D,Wt.colorAttachment.get()),Qe.bindFramebuffer.set(Wt.framebuffer)):(Wt=eh(Qe,Xe.width/4,Xe.height/4),nt.heatmapFbos.set(a.aU,Wt))})(ve,Jt,yr),ve.clear({color:a.aM.transparent});for(let Qe=0;Qe<Cr.length;Qe++){let Xe=Cr[Qe];if($t.hasRenderableParent(Xe))continue;let nt=$t.getTile(Xe),qt=nt.getBucket(yr);if(!qt)continue;let Wt=qt.programConfigurations.get(yr.id),nr=Jt.useProgram(\"heatmap\",Wt),{zoom:fr}=Jt.transform;nr.draw(ve,xe.TRIANGLES,Po.disabled,Ie,ze,Pa.disabled,ko(Xe.posMatrix,nt,fr,yr.paint.get(\"heatmap-intensity\")),null,yr.id,qt.layoutVertexBuffer,qt.indexBuffer,qt.segments,yr.paint,Jt.transform.zoom,Wt)}ve.viewport.set([0,0,Jt.width,Jt.height])})(le,Fe,Ze,ut):le.renderPass===\"translucent\"&&(function(Jt,$t){let yr=Jt.context,Cr=yr.gl;yr.setColorMode(Jt.colorModeForRenderPass());let ve=$t.heatmapFbos.get(a.aU);ve&&(yr.activeTexture.set(Cr.TEXTURE0),Cr.bindTexture(Cr.TEXTURE_2D,ve.colorAttachment.get()),yr.activeTexture.set(Cr.TEXTURE1),th(yr,$t).bind(Cr.LINEAR,Cr.CLAMP_TO_EDGE),Jt.useProgram(\"heatmapTexture\").draw(yr,Cr.TRIANGLES,Po.disabled,Ko.disabled,Jt.colorModeForRenderPass(),Pa.disabled,Ds(Jt,$t,0,1),null,$t.id,Jt.viewportBuffer,Jt.quadTriangleIndexBuffer,Jt.viewportSegments,$t.paint,Jt.transform.zoom))})(le,Ze)})(w,B,Q,ee);break;case\"line\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\")return;let Mt=Ze.paint.get(\"line-opacity\"),Jt=Ze.paint.get(\"line-width\");if(Mt.constantOr(1)===0||Jt.constantOr(1)===0)return;let $t=le.depthModeForSublayer(0,Po.ReadOnly),yr=le.colorModeForRenderPass(),Cr=Ze.paint.get(\"line-dasharray\"),ve=Ze.paint.get(\"line-pattern\"),xe=ve.constantOr(1),Ie=Ze.paint.get(\"line-gradient\"),ze=Ze.getCrossfadeParameters(),Qe=xe?\"linePattern\":Cr?\"lineSDF\":Ie?\"lineGradient\":\"line\",Xe=le.context,nt=Xe.gl,qt=!0;for(let Wt of ut){let nr=Fe.getTile(Wt);if(xe&&!nr.patternsLoaded())continue;let fr=nr.getBucket(Ze);if(!fr)continue;let br=fr.programConfigurations.get(Ze.id),Fr=le.context.program.get(),Hr=le.useProgram(Qe,br),ri=qt||Hr.program!==Fr,Ci=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Wt),cn=ve.constantOr(null);if(cn&&nr.imageAtlas){let Kn=nr.imageAtlas,Aa=Kn.patternPositions[cn.to.toString()],fa=Kn.patternPositions[cn.from.toString()];Aa&&fa&&br.setConstantPatternPositions(Aa,fa)}let sn=Ci?Wt:null,Ln=xe?Fl(le,nr,Ze,ze,sn):Cr?us(le,nr,Ze,Cr,ze,sn):Ie?ul(le,nr,Ze,fr.lineClipsArray.length,sn):ll(le,nr,Ze,sn);if(xe)Xe.activeTexture.set(nt.TEXTURE0),nr.imageAtlasTexture.bind(nt.LINEAR,nt.CLAMP_TO_EDGE),br.updatePaintBuffers(ze);else if(Cr&&(ri||le.lineAtlas.dirty))Xe.activeTexture.set(nt.TEXTURE0),le.lineAtlas.bind(Xe);else if(Ie){let Kn=fr.gradients[Ze.id],Aa=Kn.texture;if(Ze.gradientVersion!==Kn.version){let fa=256;if(Ze.stepInterpolant){let $a=Fe.getSource().maxzoom,Co=Wt.canonical.z===$a?Math.ceil(1<<le.transform.maxZoom-Wt.canonical.z):1;fa=a.ac(a.aV(fr.maxLineLength/a.X*1024*Co),256,Xe.maxTextureSize)}Kn.gradient=a.aW({expression:Ze.gradientExpression(),evaluationKey:\"lineProgress\",resolution:fa,image:Kn.gradient||void 0,clips:fr.lineClipsArray}),Kn.texture?Kn.texture.update(Kn.gradient):Kn.texture=new g(Xe,Kn.gradient,nt.RGBA),Kn.version=Ze.gradientVersion,Aa=Kn.texture}Xe.activeTexture.set(nt.TEXTURE0),Aa.bind(Ze.stepInterpolant?nt.NEAREST:nt.LINEAR,nt.CLAMP_TO_EDGE)}Hr.draw(Xe,nt.TRIANGLES,$t,le.stencilModeForClipping(Wt),yr,Pa.disabled,Ln,Ci,Ze.id,fr.layoutVertexBuffer,fr.indexBuffer,fr.segments,Ze.paint,le.transform.zoom,br,fr.layoutVertexBuffer2),qt=!1}})(w,B,Q,ee);break;case\"fill\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"fill-color\"),Jt=Ze.paint.get(\"fill-opacity\");if(Jt.constantOr(1)===0)return;let $t=le.colorModeForRenderPass(),yr=Ze.paint.get(\"fill-pattern\"),Cr=le.opaquePassEnabledForLayer()&&!yr.constantOr(1)&&Mt.constantOr(a.aM.transparent).a===1&&Jt.constantOr(0)===1?\"opaque\":\"translucent\";if(le.renderPass===Cr){let ve=le.depthModeForSublayer(1,le.renderPass===\"opaque\"?Po.ReadWrite:Po.ReadOnly);jf(le,Fe,Ze,ut,ve,$t,!1)}if(le.renderPass===\"translucent\"&&Ze.paint.get(\"fill-antialias\")){let ve=le.depthModeForSublayer(Ze.getPaintProperty(\"fill-outline-color\")?2:0,Po.ReadOnly);jf(le,Fe,Ze,ut,ve,$t,!0)}})(w,B,Q,ee);break;case\"fill-extrusion\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"fill-extrusion-opacity\");if(Mt!==0&&le.renderPass===\"translucent\"){let Jt=new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D);if(Mt!==1||Ze.paint.get(\"fill-extrusion-pattern\").constantOr(1))cc(le,Fe,Ze,ut,Jt,Ko.disabled,Os.disabled),cc(le,Fe,Ze,ut,Jt,le.stencilModeFor3D(),le.colorModeForRenderPass());else{let $t=le.colorModeForRenderPass();cc(le,Fe,Ze,ut,Jt,Ko.disabled,$t)}}})(w,B,Q,ee);break;case\"hillshade\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"offscreen\"&&le.renderPass!==\"translucent\")return;let Mt=le.context,Jt=le.depthModeForSublayer(0,Po.ReadOnly),$t=le.colorModeForRenderPass(),[yr,Cr]=le.renderPass===\"translucent\"?le.stencilConfigForOverlap(ut):[{},ut];for(let ve of Cr){let xe=Fe.getTile(ve);xe.needsHillshadePrepare!==void 0&&xe.needsHillshadePrepare&&le.renderPass===\"offscreen\"?Bl(le,xe,Ze,Jt,Ko.disabled,$t):le.renderPass===\"translucent\"&&sf(le,ve,xe,Ze,Jt,yr[ve.overscaledZ],$t)}Mt.viewport.set([0,0,le.width,le.height])})(w,B,Q,ee);break;case\"raster\":(function(le,Fe,Ze,ut){if(le.renderPass!==\"translucent\"||Ze.paint.get(\"raster-opacity\")===0||!ut.length)return;let Mt=le.context,Jt=Mt.gl,$t=Fe.getSource(),yr=le.useProgram(\"raster\"),Cr=le.colorModeForRenderPass(),[ve,xe]=$t instanceof ar?[{},ut]:le.stencilConfigForOverlap(ut),Ie=xe[xe.length-1].overscaledZ,ze=!le.options.moving;for(let Qe of xe){let Xe=le.depthModeForSublayer(Qe.overscaledZ-Ie,Ze.paint.get(\"raster-opacity\")===1?Po.ReadWrite:Po.ReadOnly,Jt.LESS),nt=Fe.getTile(Qe);nt.registerFadeDuration(Ze.paint.get(\"raster-fade-duration\"));let qt=Fe.findLoadedParent(Qe,0),Wt=Fe.findLoadedSibling(Qe),nr=Kc(nt,qt||Wt||null,Fe,Ze,le.transform,le.style.map.terrain),fr,br,Fr=Ze.paint.get(\"raster-resampling\")===\"nearest\"?Jt.NEAREST:Jt.LINEAR;Mt.activeTexture.set(Jt.TEXTURE0),nt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),Mt.activeTexture.set(Jt.TEXTURE1),qt?(qt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),fr=Math.pow(2,qt.tileID.overscaledZ-nt.tileID.overscaledZ),br=[nt.tileID.canonical.x*fr%1,nt.tileID.canonical.y*fr%1]):nt.texture.bind(Fr,Jt.CLAMP_TO_EDGE,Jt.LINEAR_MIPMAP_NEAREST),nt.texture.useMipmap&&Mt.extTextureFilterAnisotropic&&le.transform.pitch>20&&Jt.texParameterf(Jt.TEXTURE_2D,Mt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,Mt.extTextureFilterAnisotropicMax);let Hr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Qe),ri=Hr?Qe:null,Ci=ri?ri.posMatrix:le.transform.calculatePosMatrix(Qe.toUnwrapped(),ze),cn=cl(Ci,br||[0,0],fr||1,nr,Ze);$t instanceof ar?yr.draw(Mt,Jt.TRIANGLES,Xe,Ko.disabled,Cr,Pa.disabled,cn,Hr,Ze.id,$t.boundsBuffer,le.quadTriangleIndexBuffer,$t.boundsSegments):yr.draw(Mt,Jt.TRIANGLES,Xe,ve[Qe.overscaledZ],Cr,Pa.disabled,cn,Hr,Ze.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(le,Fe,Ze,ut){let Mt=Ze.paint.get(\"background-color\"),Jt=Ze.paint.get(\"background-opacity\");if(Jt===0)return;let $t=le.context,yr=$t.gl,Cr=le.transform,ve=Cr.tileSize,xe=Ze.paint.get(\"background-pattern\");if(le.isPatternMissing(xe))return;let Ie=!xe&&Mt.a===1&&Jt===1&&le.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(le.renderPass!==Ie)return;let ze=Ko.disabled,Qe=le.depthModeForSublayer(0,Ie===\"opaque\"?Po.ReadWrite:Po.ReadOnly),Xe=le.colorModeForRenderPass(),nt=le.useProgram(xe?\"backgroundPattern\":\"background\"),qt=ut||Cr.coveringTiles({tileSize:ve,terrain:le.style.map.terrain});xe&&($t.activeTexture.set(yr.TEXTURE0),le.imageManager.bind(le.context));let Wt=Ze.getCrossfadeParameters();for(let nr of qt){let fr=ut?nr.posMatrix:le.transform.calculatePosMatrix(nr.toUnwrapped()),br=xe?Su(fr,Jt,le,xe,{tileID:nr,tileSize:ve},Wt):Yl(fr,Jt,Mt),Fr=le.style.map.terrain&&le.style.map.terrain.getTerrainData(nr);nt.draw($t,yr.TRIANGLES,Qe,ze,Xe,Pa.disabled,br,Fr,Ze.id,le.tileExtentBuffer,le.quadTriangleIndexBuffer,le.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(le,Fe,Ze){let ut=le.context,Mt=Ze.implementation;if(le.renderPass===\"offscreen\"){let Jt=Mt.prerender;Jt&&(le.setCustomLayerDefaults(),ut.setColorMode(le.colorModeForRenderPass()),Jt.call(Mt,ut.gl,le.transform.customLayerMatrix()),ut.setDirty(),le.setBaseState())}else if(le.renderPass===\"translucent\"){le.setCustomLayerDefaults(),ut.setColorMode(le.colorModeForRenderPass()),ut.setStencilMode(Ko.disabled);let Jt=Mt.renderingMode===\"3d\"?new Po(le.context.gl.LEQUAL,Po.ReadWrite,le.depthRangeFor3D):le.depthModeForSublayer(0,Po.ReadOnly);ut.setDepthMode(Jt),Mt.render(ut.gl,le.transform.customLayerMatrix(),{farZ:le.transform.farZ,nearZ:le.transform.nearZ,fov:le.transform._fov,modelViewProjectionMatrix:le.transform.modelViewProjectionMatrix,projectionMatrix:le.transform.projectionMatrix}),ut.setDirty(),le.setBaseState(),ut.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,le){if(!Q[0]&&!Q[1])return w;let Fe=le?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(Fe){let Mt=Math.sin(Fe),Jt=Math.cos(Fe);Q=[Q[0]*Jt-Q[1]*Mt,Q[0]*Mt+Q[1]*Jt]}let Ze=[le?Q[0]:Fn(B,Q[0],this.transform.zoom),le?Q[1]:Fn(B,Q[1],this.transform.zoom),0],ut=new Float32Array(16);return a.J(ut,w,Ze),ut}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new hn(this.context,Gn[w],B,nc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new g(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class ks{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),le=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((Ze=>{let ut=1/(Ze=a.af([],Ze,w))[3]/B*ee;return a.b1(Ze,Ze,[ut,ut,1/Ze[3],ut])})),Fe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((Ze=>{let ut=(function(yr,Cr){var ve=Cr[0],xe=Cr[1],Ie=Cr[2],ze=ve*ve+xe*xe+Ie*Ie;return ze>0&&(ze=1/Math.sqrt(ze)),yr[0]=Cr[0]*ze,yr[1]=Cr[1]*ze,yr[2]=Cr[2]*ze,yr})([],(function(yr,Cr,ve){var xe=Cr[0],Ie=Cr[1],ze=Cr[2],Qe=ve[0],Xe=ve[1],nt=ve[2];return yr[0]=Ie*nt-ze*Xe,yr[1]=ze*Qe-xe*nt,yr[2]=xe*Xe-Ie*Qe,yr})([],L([],le[Ze[0]],le[Ze[1]]),L([],le[Ze[2]],le[Ze[1]]))),Mt=-((Jt=ut)[0]*($t=le[Ze[1]])[0]+Jt[1]*$t[1]+Jt[2]*$t[2]);var Jt,$t;return ut.concat(Mt)}));return new ks(le,Fe)}}class bc{constructor(w,B){this.min=w,this.max=B,this.center=(function(Q,ee,le){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q})([],(function(Q,ee,le){return Q[0]=ee[0]+le[0],Q[1]=ee[1]+le[1],Q[2]=ee[2]+le[2],Q})([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=M(this.min),ee=M(this.max);for(let le=0;le<B.length;le++)Q[le]=B[le]?this.min[le]:this.center[le],ee[le]=B[le]?this.center[le]:this.max[le];return ee[2]=this.max[2],new bc(Q,ee)}distanceX(w){return Math.max(Math.min(this.max[0],w[0]),this.min[0])-w[0]}distanceY(w){return Math.max(Math.min(this.max[1],w[1]),this.min[1])-w[1]}intersects(w){let B=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]],Q=!0;for(let ee=0;ee<w.planes.length;ee++){let le=w.planes[ee],Fe=0;for(let Ze=0;Ze<B.length;Ze++)a.b2(le,B[Ze])>=0&&Fe++;if(Fe===0)return 0;Fe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let le=Number.MAX_VALUE,Fe=-Number.MAX_VALUE;for(let Ze=0;Ze<w.points.length;Ze++){let ut=w.points[Ze][ee]-this.min[ee];le=Math.min(le,ut),Fe=Math.max(Fe,ut)}if(Fe<0||le>this.max[ee]-this.min[ee])return 0}return 1}}class hu{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new hu(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let _u=85.051129;class il{constructor(w,B,Q,ee,le){this.tileSize=512,this._renderWorldCopies=le===void 0||!!le,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new hu,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new il(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=(function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q})(),(function(Q,ee,le){var Fe=ee[0],Ze=ee[1],ut=ee[2],Mt=ee[3],Jt=Math.sin(le),$t=Math.cos(le);Q[0]=Fe*$t+ut*Jt,Q[1]=Ze*$t+Mt*Jt,Q[2]=Fe*-Jt+ut*$t,Q[3]=Ze*-Jt+Mt*$t})(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),le=this.pointCoordinate(new a.P(this.width,this.height)),Fe=this.pointCoordinate(new a.P(0,this.height)),Ze=Math.floor(Math.min(Q.x,ee.x,le.x,Fe.x)),ut=Math.floor(Math.max(Q.x,ee.x,le.x,Fe.x)),Mt=1;for(let Jt=Ze-Mt;Jt<=ut+Mt;Jt++)Jt!==0&&B.push(new a.b4(Jt,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),le=ee;if(w.minzoom!==void 0&&ee<w.minzoom)return[];w.maxzoom!==void 0&&ee>w.maxzoom&&(ee=w.maxzoom);let Fe=this.pointCoordinate(this.getCameraPoint()),Ze=a.Z.fromLngLat(this.center),ut=Math.pow(2,ee),Mt=[ut*Fe.x,ut*Fe.y,0],Jt=[ut*Ze.x,ut*Ze.y,0],$t=ks.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),yr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(yr=ee);let Cr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,ve=Xe=>({aabb:new bc([Xe*ut,0,0],[(Xe+1)*ut,ut,0]),zoom:0,x:0,y:0,wrap:Xe,fullyVisible:!1}),xe=[],Ie=[],ze=ee,Qe=w.reparseOverscaled?le:ee;if(this._renderWorldCopies)for(let Xe=1;Xe<=3;Xe++)xe.push(ve(-Xe)),xe.push(ve(Xe));for(xe.push(ve(0));xe.length>0;){let Xe=xe.pop(),nt=Xe.x,qt=Xe.y,Wt=Xe.fullyVisible;if(!Wt){let Hr=Xe.aabb.intersects($t);if(Hr===0)continue;Wt=Hr===2}let nr=w.terrain?Mt:Jt,fr=Xe.aabb.distanceX(nr),br=Xe.aabb.distanceY(nr),Fr=Math.max(Math.abs(fr),Math.abs(br));if(Xe.zoom===ze||Fr>Cr+(1<<ze-Xe.zoom)-2&&Xe.zoom>=yr){let Hr=ze-Xe.zoom,ri=Mt[0]-.5-(nt<<Hr),Ci=Mt[1]-.5-(qt<<Hr);Ie.push({tileID:new a.S(Xe.zoom===ze?Qe:Xe.zoom,Xe.wrap,Xe.zoom,nt,qt),distanceSq:x([Jt[0]-.5-nt,Jt[1]-.5-qt]),tileDistanceToCamera:Math.sqrt(ri*ri+Ci*Ci)})}else for(let Hr=0;Hr<4;Hr++){let ri=(nt<<1)+Hr%2,Ci=(qt<<1)+(Hr>>1),cn=Xe.zoom+1,sn=Xe.aabb.quadrant(Hr);if(w.terrain){let Ln=new a.S(cn,Xe.wrap,cn,ri,Ci),Kn=w.terrain.getMinMaxElevation(Ln),Aa=(B=Kn.minElevation)!==null&&B!==void 0?B:this.elevation,fa=(Q=Kn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;sn=new bc([sn.min[0],sn.min[1],Aa],[sn.max[0],sn.max[1],fa])}xe.push({aabb:sn,zoom:cn,x:ri,y:Ci,wrap:Xe.wrap,fullyVisible:Wt})}}return Ie.sort(((Xe,nt)=>Xe.distanceSq-nt.distanceSq)).map((Xe=>Xe.tileID))}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,_u);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),le=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-le))return;let Fe=Q+B-le,Ze=Math.cos(this._pitch)*this.cameraToCenterDistance/Fe/a.b5(1,ee.lat),ut=this.scaleZoom(Ze/this.tileSize);this._elevation=le,this._center=ee,this.zoom=ut}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),le=this.locationCoordinate(w),Fe=new a.Z(le.x-(Q.x-ee.x),le.y-(Q.y-ee.y));this.center=this.coordinateLocation(Fe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let yr=B.pointCoordinate(w);if(yr!=null)return yr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let le=Q[3],Fe=ee[3],Ze=Q[1]/le,ut=ee[1]/Fe,Mt=Q[2]/le,Jt=ee[2]/Fe,$t=Mt===Jt?0:(0-Mt)/(Jt-Mt);return new a.Z(a.y.number(Q[0]/le,ee[0]/Fe,$t)/this.worldSize,a.y.number(Ze,ut,$t)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,_u])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,le=a.an(new Float64Array(16));return a.J(le,le,[ee*Q,B.y*Q,0]),a.K(le,le,[Q/a.X,Q/a.X,1]),le}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let le=this.calculateTileMatrix(w);return a.L(le,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,le),ee[Q]=new Float32Array(le),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let Xe=179.9999999999;ee=[-Xe,Xe]}let le=this.tileSize*this.zoomScale(Q.zoom),Fe=0,Ze=le,ut=0,Mt=le,Jt=0,$t=0,{x:yr,y:Cr}=this.size;if(this.latRange){let Xe=this.latRange;Fe=a.Q(Xe[1])*le,Ze=a.Q(Xe[0])*le,Ze-Fe<Cr&&(Jt=Cr/(Ze-Fe))}ee&&(ut=a.b3(a.O(ee[0])*le,0,le),Mt=a.b3(a.O(ee[1])*le,0,le),Mt<ut&&(Mt+=le),Mt-ut<yr&&($t=yr/(Mt-ut)));let{x:ve,y:xe}=this.project.call({worldSize:le},w),Ie,ze,Qe=Math.max($t||0,Jt||0);if(Qe){let Xe=new a.P($t?(Mt+ut)/2:ve,Jt?(Ze+Fe)/2:xe);return Q.center=this.unproject.call({worldSize:le},Xe).wrap(),Q.zoom+=this.scaleZoom(Qe),Q}if(this.latRange){let Xe=Cr/2;xe-Xe<Fe&&(ze=Fe+Xe),xe+Xe>Ze&&(ze=Ze-Xe)}if(ee){let Xe=(ut+Mt)/2,nt=ve;this._renderWorldCopies&&(nt=a.b3(ve,Xe-le/2,Xe+le/2));let qt=yr/2;nt-qt<ut&&(Ie=ut+qt),nt+qt>Mt&&(Ie=Mt-qt)}if(Ie!==void 0||ze!==void 0){let Xe=new a.P(Ie!=null?Ie:ve,ze!=null?ze:xe);Q.center=this.unproject.call({worldSize:le},Xe).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let le=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),Fe=Math.min(this.elevation,this.minElevationForCurrentTile),Ze=le-Fe*this._pixelPerMeter/Math.cos(this._pitch),ut=Fe<0?Ze:le,Mt=Math.PI/2+this._pitch,Jt=this._fov*(.5+w.y/this.height),$t=Math.sin(Jt)*ut/Math.sin(a.ac(Math.PI-Mt-Jt,.01,Math.PI-.01)),yr=this.getHorizon(),Cr=2*Math.atan(yr/this.cameraToCenterDistance)*(.5+w.y/(2*yr)),ve=Math.sin(Cr)*ut/Math.sin(a.ac(Math.PI-Mt-Cr,.01,Math.PI-.01)),xe=Math.min($t,ve);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*xe+ut),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,le,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Ie=this.width%2/2,ze=this.height%2/2,Qe=Math.cos(this.angle),Xe=Math.sin(this.angle),nt=B-Math.round(B)+Qe*Ie+Xe*ze,qt=Q-Math.round(Q)+Qe*ze+Xe*Ie,Wt=new Float64Array(ee);if(a.J(Wt,Wt,[nt>.5?nt-1:nt,qt>.5?qt-1:qt,0]),this.alignedModelViewProjectionMatrix=Wt,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,le=B.x,Fe=B.y;for(let Ze of w)Q=Math.min(Q,Ze.x),ee=Math.min(ee,Ze.y),le=Math.max(le,Ze.x),Fe=Math.max(Fe,Ze.y);return[new a.P(Q,ee),new a.P(le,ee),new a.P(le,Fe),new a.P(Q,Fe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function nh(ue,w){let B,Q=!1,ee=null,le=null,Fe=()=>{ee=null,Q&&(ue.apply(le,B),ee=setTimeout(Fe,w),Q=!1)};return(...Ze)=>(Q=!0,le=this,B=Ze,ee||Fe(),ee)}class Mh{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map((ee=>ee.split(\"=\"))).forEach((ee=>{ee[0]===this._hashName&&(Q=ee)})),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some((Q=>isNaN(Q)))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let le=window.location.hash.replace(ee,\"\");le.startsWith(\"#&\")?le=le.slice(0,1)+le.slice(2):le===\"#\"&&(le=\"\");let Fe=window.location.href.replace(/(#.+)?$/,le);Fe=Fe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,Fe)},this._updateHash=nh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),le=Math.pow(10,ee),Fe=Math.round(B.lng*le)/le,Ze=Math.round(B.lat*le)/le,ut=this._map.getBearing(),Mt=this._map.getPitch(),Jt=\"\";if(Jt+=w?`/${Fe}/${Ze}/${Q}`:`${Q}/${Ze}/${Fe}`,(ut||Mt)&&(Jt+=\"/\"+Math.round(10*ut)/10),Mt&&(Jt+=`/${Math.round(Mt)}`),this._hashName){let $t=this._hashName,yr=!1,Cr=window.location.hash.slice(1).split(\"&\").map((ve=>{let xe=ve.split(\"=\")[0];return xe===$t?(yr=!0,`${xe}=${Jt}`):ve})).filter((ve=>ve));return yr||Cr.push(`${$t}=${Jt}`),`#${Cr.join(\"&\")}`}return`#${Jt}`}}let zu={linearity:.3,easing:a.b8(0,0,.3,1)},Fc=a.e({deceleration:2500,maxSpeed:1400},zu),wc=a.e({deceleration:20,maxSpeed:1400},zu),bd=a.e({deceleration:1e3,maxSpeed:360},zu),xf=a.e({deceleration:1e3,maxSpeed:90},zu);class Pf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:le}of this._inertiaBuffer)B.zoom+=le.zoomDelta||0,B.bearing+=le.bearingDelta||0,B.pitch+=le.pitchDelta||0,le.panDelta&&B.pan._add(le.panDelta),le.around&&(B.around=le.around),le.pinchAround&&(B.pinchAround=le.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let le=bf(B.pan.mag(),Q,a.e({},Fc,w||{}));ee.offset=B.pan.mult(le.amount/B.pan.mag()),ee.center=this._map.transform.center,qu(ee,le)}if(B.zoom){let le=bf(B.zoom,Q,wc);ee.zoom=this._map.transform.zoom+le.amount,qu(ee,le)}if(B.bearing){let le=bf(B.bearing,Q,bd);ee.bearing=this._map.transform.bearing+a.ac(le.amount,-179,179),qu(ee,le)}if(B.pitch){let le=bf(B.pitch,Q,xf);ee.pitch=this._map.transform.pitch+le.amount,qu(ee,le)}if(ee.zoom||ee.bearing){let le=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=le?this._map.unproject(le):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function qu(ue,w){(!ue.duration||ue.duration<w.duration)&&(ue.duration=w.duration,ue.easing=w.easing)}function bf(ue,w,B){let{maxSpeed:Q,linearity:ee,deceleration:le}=B,Fe=a.ac(ue*ee/(w/1e3),-Q,Q),Ze=Math.abs(Fe)/(le*ee);return{easing:B.easing,duration:1e3*Ze,amount:Fe*(Ze/2)}}class jl extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q,ee={}){let le=c.mousePos(B.getCanvas(),Q),Fe=B.unproject(le);super(w,a.e({point:le,lngLat:Fe,originalEvent:Q},ee)),this._defaultPrevented=!1,this.target=B}}class uf extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){let ee=w===\"touchend\"?Q.changedTouches:Q.touches,le=c.touchPos(B.getCanvasContainer(),ee),Fe=le.map((ut=>B.unproject(ut))),Ze=le.reduce(((ut,Mt,Jt,$t)=>ut.add(Mt.div($t.length))),new a.P(0,0));super(w,{points:le,point:Ze,lngLats:Fe,lngLat:B.unproject(Ze),originalEvent:Q}),this._defaultPrevented=!1}}class Xh extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class If{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new Xh(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new jl(w.type,this._map,w))}mouseup(w){this._map.fire(new jl(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new jl(w.type,this._map,w))}dblclick(w){return this._firePreventable(new jl(w.type,this._map,w))}mouseover(w){this._map.fire(new jl(w.type,this._map,w))}mouseout(w){this._map.fire(new jl(w.type,this._map,w))}touchstart(w){return this._firePreventable(new uf(w.type,this._map,w))}touchmove(w){this._map.fire(new uf(w.type,this._map,w))}touchend(w){this._map.fire(new uf(w.type,this._map,w))}touchcancel(w){this._map.fire(new uf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Cs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new jl(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new jl(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new jl(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class du{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class ku{constructor(w,B){this._map=w,this._tr=new du(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)<this._clickTolerance)return;let ee=this._startPos;this._lastPos=Q,this._box||(this._box=c.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",w));let le=Math.min(ee.x,Q.x),Fe=Math.max(ee.x,Q.x),Ze=Math.min(ee.y,Q.y),ut=Math.max(ee.y,Q.y);c.setTransform(this._box,`translate(${le}px,${Ze}px)`),this._box.style.width=Fe-le+\"px\",this._box.style.height=ut-Ze+\"px\"}mouseupWindow(w,B){if(!this._active||w.button!==0)return;let Q=this._startPos,ee=B;if(this.reset(),c.suppressClick(),Q.x!==ee.x||Q.y!==ee.y)return this._map.fire(new a.k(\"boxzoomend\",{originalEvent:w})),{cameraAnimation:le=>le.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Xf(ue,w){if(ue.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${ue.length}, points ${w.length}`);let B={};for(let Q=0;Q<ue.length;Q++)B[ue[Q].identifier]=w[Q];return B}class Us{constructor(w){this.reset(),this.numTouches=w.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(w,B,Q){(this.centroid||Q.length>this.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=(function(ee){let le=new a.P(0,0);for(let Fe of ee)le._add(Fe);return le.div(ee.length)})(B),this.touches=Xf(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Xf(Q,B);for(let le in this.touches){let Fe=ee[le];(!Fe||Fe.dist(this.touches[le])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class wf{constructor(w){this.singleTap=new Us(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let le=w.timeStamp-this.lastTime<500,Fe=!this.lastTap||this.lastTap.dist(ee)<30;if(le&&Fe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class zc{constructor(w){this._tr=new du(w),this._zoomIn=new wf({numTouches:1,numTaps:2}),this._zoomOut=new wf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),le=this._zoomOut.touchend(w,B,Q),Fe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:Ze=>Ze.easeTo({duration:300,zoom:Fe.zoom+1,around:Fe.unproject(ee)},{originalEvent:w})}):le?(this._active=!0,w.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:Ze=>Ze.easeTo({duration:300,zoom:Fe.zoom-1,around:Fe.unproject(le)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Wu{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=ee,this._move(Q,ee))}dragEnd(w){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(w)&&(this._moved&&c.suppressClick(),this.reset(w))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}let Rf={0:1,2:2};class Xu{constructor(w){this._correctEvent=w.checkCorrectEvent}startMove(w){let B=c.mouseButton(w);this._eventButton=B}endMove(w){delete this._eventButton}isValidStartEvent(w){return this._correctEvent(w)}isValidMoveEvent(w){return!(function(B,Q){let ee=Rf[Q];return B.buttons===void 0||(B.buttons&ee)!==ee})(w,this._eventButton)}isValidEndEvent(w){return c.mouseButton(w)===this._eventButton}}class cf{constructor(){this._firstTouch=void 0}_isOneFingerTouch(w){return w.targetTouches.length===1}_isSameTouchEvent(w){return w.targetTouches[0].identifier===this._firstTouch}startMove(w){this._firstTouch=w.targetTouches[0].identifier}endMove(w){delete this._firstTouch}isValidStartEvent(w){return this._isOneFingerTouch(w)}isValidMoveEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}isValidEndEvent(w){return this._isOneFingerTouch(w)&&this._isSameTouchEvent(w)}}let Zf=ue=>{ue.mousedown=ue.dragStart,ue.mousemoveWindow=ue.dragMove,ue.mouseup=ue.dragEnd,ue.contextmenu=w=>{w.preventDefault()}},Wl=({enable:ue,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({bearingDelta:(le.x-ee.x)*B}),moveStateManager:Q,enable:ue,assignEvents:Zf})},ah=({enable:ue,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new Xu({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new Wu({clickTolerance:w,move:(ee,le)=>({pitchDelta:(le.y-ee.y)*B}),moveStateManager:Q,enable:ue,assignEvents:Zf})};class Zu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Xf(Q,B),le=new a.P(0,0),Fe=new a.P(0,0),Ze=0;for(let Mt in ee){let Jt=ee[Mt],$t=this._touches[Mt];$t&&(le._add(Jt),Fe._add(Jt.sub($t)),Ze++,ee[Mt]=Jt)}if(this._touches=ee,this._shouldBePrevented(Ze)||!Fe.mag())return;let ut=Fe.div(Ze);return this._sum._add(ut),this._sum.mag()<this._clickTolerance?void 0:{around:le.div(Ze),panDelta:ut}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class qc{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(w,B,Q){this._firstTwoTouches||Q.length<2||(this._firstTwoTouches=[Q[0].identifier,Q[1].identifier],this._start([B[0],B[1]]))}touchmove(w,B,Q){if(!this._firstTwoTouches)return;w.preventDefault();let[ee,le]=this._firstTwoTouches,Fe=Tc(Q,B,ee),Ze=Tc(Q,B,le);if(!Fe||!Ze)return;let ut=this._aroundCenter?null:Fe.add(Ze).div(2);return this._move([Fe,Ze],ut,w)}touchend(w,B,Q){if(!this._firstTwoTouches)return;let[ee,le]=this._firstTwoTouches,Fe=Tc(Q,B,ee),Ze=Tc(Q,B,le);Fe&&Ze||(this._active&&c.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(w){this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\"}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function Tc(ue,w,B){for(let Q=0;Q<ue.length;Q++)if(ue[Q].identifier===B)return w[Q]}function Tl(ue,w){return Math.log(ue/w)/Math.LN2}class vu extends qc{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(w){this._startDistance=this._distance=w[0].dist(w[1])}_move(w,B){let Q=this._distance;if(this._distance=w[0].dist(w[1]),this._active||!(Math.abs(Tl(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Tl(this._distance,Q),pinchAround:B}}}function Oc(ue,w){return 180*ue.angleWith(w)/Math.PI}class ff extends qc{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(w){this._startVector=this._vector=w[0].sub(w[1]),this._minDiameter=w[0].dist(w[1])}_move(w,B,Q){let ee=this._vector;if(this._vector=w[0].sub(w[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Oc(this._vector,ee),pinchAround:B}}_isBelowThreshold(w){this._minDiameter=Math.min(this._minDiameter,w.mag());let B=25/(Math.PI*this._minDiameter)*360,Q=Oc(w,this._startVector);return Math.abs(Q)<B}}function fc(ue){return Math.abs(ue.y)>Math.abs(ue.x)}class Bc extends qc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,fc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),le=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,le,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+le.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,le=B.mag()>=2;if(!ee&&!le)return;if(!ee||!le)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let Fe=w.y>0==B.y>0;return fc(w)&&fc(B)&&Fe}}let kt={panStep:100,bearingStep:15,pitchStep:10};class Zt{constructor(w){this._tr=new du(w);let B=kt;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,le=0,Fe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),le=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),le=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),Fe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),Fe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:Ze=>{let ut=this._tr;Ze.easeTo({duration:300,easeId:\"keyboardHandler\",easing:Er,zoom:B?Math.round(ut.zoom)+B*(w.shiftKey?2:1):ut.zoom,bearing:ut.bearing+Q*this._bearingStep,pitch:ut.pitch+ee*this._pitchStep,offset:[-le*this._panStep,-Fe*this._panStep],center:ut.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function Er(ue){return ue*(2-ue)}let xr=4.000244140625;class Kr{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new du(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%xr==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let ut=this._type===\"wheel\"&&Math.abs(this._delta)>xr?this._wheelZoomRate:this._defaultZoomRate,Mt=2/(1+Math.exp(-Math.abs(this._delta*ut)));this._delta<0&&Mt!==0&&(Mt=1/Mt);let Jt=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Jt*Mt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,le,Fe=!1,Ze=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&Ze){let ut=Math.min(Ze/200,1),Mt=ee(ut);le=a.y.number(Q,B,Mt),ut<1?this._frameId||(this._frameId=!0):Fe=!0}else le=B,Fe=!0;return this._active=!0,Fe&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!Fe,zoomDelta:le-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,le=Q.easing(ee+.01)-Q.easing(ee),Fe=.27/Math.sqrt(le*le+1e-4)*.01,Ze=Math.sqrt(.0729-Fe*Fe);B=a.b8(Fe,Ze,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class Mi{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class Xi{constructor(w){this._tr=new du(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class dn{constructor(){this._tap=new wf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],le=w.timeStamp-this._tapTime<500,Fe=this._tapPoint.dist(ee)<30;le&&Fe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],le=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:le/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class wn{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class On{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Yi{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class $i{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let le=document.createElement(\"div\");le.className=\"maplibregl-mobile-message\",le.textContent=Q,this._container.appendChild(le),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}let an=ue=>ue.zoom||ue.drag||ue.pitch||ue.rotate;class Fi extends a.k{}function ta(ue){return ue.panDelta&&ue.panDelta.mag()||ue.zoomDelta||ue.bearingDelta||ue.pitchDelta}class Ca{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,le)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let Fe=ee.type===\"renderFrame\"?void 0:ee,Ze={needsRenderFrame:!1},ut={},Mt={},Jt=ee.touches,$t=Jt?this._getMapTouches(Jt):void 0,yr=$t?c.touchPos(this._map.getCanvas(),$t):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:xe,handler:Ie,allowed:ze}of this._handlers){if(!Ie.isEnabled())continue;let Qe;this._blockedByActive(Mt,ze,xe)?Ie.reset():Ie[le||ee.type]&&(Qe=Ie[le||ee.type](ee,yr,$t),this.mergeHandlerResult(Ze,ut,Qe,xe,Fe),Qe&&Qe.needsRenderFrame&&this._triggerRenderFrame()),(Qe||Ie.isActive())&&(Mt[xe]=Ie)}let Cr={};for(let xe in this._previousActiveHandlers)Mt[xe]||(Cr[xe]=Fe);this._previousActiveHandlers=Mt,(Object.keys(Cr).length||ta(Ze))&&(this._changes.push([Ze,ut,Cr]),this._triggerRenderFrame()),(Object.keys(Mt).length||ta(Ze))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:ve}=Ze;ve&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],ve(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Pf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,le,Fe]of this._listeners)c.addEventListener(ee,le,ee===document?this.handleWindowEvent:this.handleEvent,Fe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new If(B,w));let ee=B.boxZoom=new ku(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let le=B.cooperativeGestures=new $i(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",le),w.cooperativeGestures&&le.enable();let Fe=new zc(B),Ze=new Xi(B);B.doubleClickZoom=new Mi(Ze,Fe),this._add(\"tapZoom\",Fe),this._add(\"clickZoom\",Ze),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let ut=new dn;this._add(\"tapDragZoom\",ut);let Mt=B.touchPitch=new Bc(B);this._add(\"touchPitch\",Mt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Jt=Wl(w),$t=ah(w);B.dragRotate=new On(w,Jt,$t),this._add(\"mouseRotate\",Jt,[\"mousePitch\"]),this._add(\"mousePitch\",$t,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let yr=(({enable:Qe,clickTolerance:Xe})=>{let nt=new Xu({checkCorrectEvent:qt=>c.mouseButton(qt)===0&&!qt.ctrlKey});return new Wu({clickTolerance:Xe,move:(qt,Wt)=>({around:Wt,panDelta:Wt.sub(qt)}),activateOnStart:!0,moveStateManager:nt,enable:Qe,assignEvents:Zf})})(w),Cr=new Zu(w,B);B.dragPan=new wn(Q,yr,Cr),this._add(\"mousePan\",yr),this._add(\"touchPan\",Cr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let ve=new ff,xe=new vu;B.touchZoomRotate=new Yi(Q,xe,ve,ut),this._add(\"touchRotate\",ve,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",xe,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Ie=B.scrollZoom=new Kr(B,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",Ie,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let ze=B.keyboard=new Zt(B);this._add(\"keyboard\",ze),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Cs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!an(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,le){if(!Q)return;a.e(w,Q);let Fe={handlerName:ee,originalEvent:Q.originalEvent||le};Q.zoomDelta!==void 0&&(B.zoom=Fe),Q.panDelta!==void 0&&(B.drag=Fe),Q.pitchDelta!==void 0&&(B.pitch=Fe),Q.bearingDelta!==void 0&&(B.rotate=Fe)}_applyChanges(){let w={},B={},Q={};for(let[ee,le,Fe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,le),a.e(Q,Fe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,le=ee._getTransformForUpdate(),Fe=ee.terrain;if(!(ta(w)||Fe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:Ze,zoomDelta:ut,bearingDelta:Mt,pitchDelta:Jt,around:$t,pinchAround:yr}=w;yr!==void 0&&($t=yr),ee._stop(!0),$t=$t||ee.transform.centerPoint;let Cr=le.pointLocation(Ze?$t.sub(Ze):$t);Mt&&(le.bearing+=Mt),Jt&&(le.pitch+=Jt),ut&&(le.zoom+=ut),Fe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?le.center=le.pointLocation(le.centerPoint.sub(Ze)):le.setLocationAtPoint(Cr,$t):(this._terrainMovement=!0,this._map._elevationFreeze=!0,le.setLocationAtPoint(Cr,$t)):le.setLocationAtPoint(Cr,$t),ee._applyUpdatedTransform(le),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=an(this._eventsInProgress),le=an(w),Fe={};for(let $t in w){let{originalEvent:yr}=w[$t];this._eventsInProgress[$t]||(Fe[`${$t}start`]=yr),this._eventsInProgress[$t]=w[$t]}!ee&&le&&this._fireEvent(\"movestart\",le.originalEvent);for(let $t in Fe)this._fireEvent($t,Fe[$t]);le&&this._fireEvent(\"move\",le.originalEvent);for(let $t in w){let{originalEvent:yr}=w[$t];this._fireEvent($t,yr)}let Ze={},ut;for(let $t in this._eventsInProgress){let{handlerName:yr,originalEvent:Cr}=this._eventsInProgress[$t];this._handlersById[yr].isActive()||(delete this._eventsInProgress[$t],ut=B[yr]||Cr,Ze[`${$t}end`]=ut)}for(let $t in Ze)this._fireEvent($t,Ze[$t]);let Mt=an(this._eventsInProgress),Jt=(ee||le)&&!Mt;if(Jt&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let $t=this._map._getTransformForUpdate();$t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform($t)}if(Q&&Jt){this._updatingCamera=!0;let $t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),yr=Cr=>Cr!==0&&-this._bearingSnap<Cr&&Cr<this._bearingSnap;!$t||!$t.essential&&u.prefersReducedMotion?(this._map.fire(new a.k(\"moveend\",{originalEvent:ut})),yr(this._map.getBearing())&&this._map.resetNorth()):(yr($t.bearing||this._map.getBearing())&&($t.bearing=0),$t.freezeElevation=!0,this._map.easeTo($t,{originalEvent:ut})),this._updatingCamera=!1}}_fireEvent(w,B){this._map.fire(new a.k(w,B?{originalEvent:B}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((w=>{delete this._frameId,this.handleEvent(new Fi(\"renderFrame\",{timeStamp:w})),this._applyChanges()}))}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ra extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(w,B):this}getPitch(){return this.transform.pitch}setPitch(w,B){return this.jumpTo({pitch:w},B),this}cameraForBounds(w,B){w=ce.convert(w).adjustAntiMeridian();let Q=B&&B.bearing||0;return this._cameraForBoxAndBearing(w.getNorthWest(),w.getSouthEast(),Q,B)}_cameraForBoxAndBearing(w,B,Q,ee){let le={top:0,bottom:0,right:0,left:0};if(typeof(ee=a.e({padding:le,offset:[0,0],maxZoom:this.transform.maxZoom},ee)).padding==\"number\"){let Hr=ee.padding;ee.padding={top:Hr,bottom:Hr,right:Hr,left:Hr}}ee.padding=a.e(le,ee.padding);let Fe=this.transform,Ze=Fe.padding,ut=new ce(w,B),Mt=Fe.project(ut.getNorthWest()),Jt=Fe.project(ut.getNorthEast()),$t=Fe.project(ut.getSouthEast()),yr=Fe.project(ut.getSouthWest()),Cr=a.ba(-Q),ve=Mt.rotate(Cr),xe=Jt.rotate(Cr),Ie=$t.rotate(Cr),ze=yr.rotate(Cr),Qe=new a.P(Math.max(ve.x,xe.x,ze.x,Ie.x),Math.max(ve.y,xe.y,ze.y,Ie.y)),Xe=new a.P(Math.min(ve.x,xe.x,ze.x,Ie.x),Math.min(ve.y,xe.y,ze.y,Ie.y)),nt=Qe.sub(Xe),qt=(Fe.width-(Ze.left+Ze.right+ee.padding.left+ee.padding.right))/nt.x,Wt=(Fe.height-(Ze.top+Ze.bottom+ee.padding.top+ee.padding.bottom))/nt.y;if(Wt<0||qt<0)return void a.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");let nr=Math.min(Fe.scaleZoom(Fe.scale*Math.min(qt,Wt)),ee.maxZoom),fr=a.P.convert(ee.offset),br=new a.P((ee.padding.left-ee.padding.right)/2,(ee.padding.top-ee.padding.bottom)/2).rotate(a.ba(Q)),Fr=fr.add(br).mult(Fe.scale/Fe.zoomScale(nr));return{center:Fe.unproject(Mt.add($t).div(2).sub(Fr)),zoom:nr,bearing:Q}}fitBounds(w,B,Q){return this._fitInternal(this.cameraForBounds(w,B),B,Q)}fitScreenCoordinates(w,B,Q,ee,le){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(a.P.convert(w)),this.transform.pointLocation(a.P.convert(B)),Q,ee),ee,le)}_fitInternal(w,B,Q){return w?(delete(B=a.e(w,B)).padding,B.linear?this.easeTo(B,Q):this.flyTo(B,Q)):this}jumpTo(w,B){this.stop();let Q=this._getTransformForUpdate(),ee=!1,le=!1,Fe=!1;return\"zoom\"in w&&Q.zoom!==+w.zoom&&(ee=!0,Q.zoom=+w.zoom),w.center!==void 0&&(Q.center=a.N.convert(w.center)),\"bearing\"in w&&Q.bearing!==+w.bearing&&(le=!0,Q.bearing=+w.bearing),\"pitch\"in w&&Q.pitch!==+w.pitch&&(Fe=!0,Q.pitch=+w.pitch),w.padding==null||Q.isPaddingEqual(w.padding)||(Q.padding=w.padding),this._applyUpdatedTransform(Q),this.fire(new a.k(\"movestart\",B)).fire(new a.k(\"move\",B)),ee&&this.fire(new a.k(\"zoomstart\",B)).fire(new a.k(\"zoom\",B)).fire(new a.k(\"zoomend\",B)),le&&this.fire(new a.k(\"rotatestart\",B)).fire(new a.k(\"rotate\",B)).fire(new a.k(\"rotateend\",B)),Fe&&this.fire(new a.k(\"pitchstart\",B)).fire(new a.k(\"pitch\",B)).fire(new a.k(\"pitchend\",B)),this.fire(new a.k(\"moveend\",B))}calculateCameraOptionsFromTo(w,B,Q,ee=0){let le=a.Z.fromLngLat(w,B),Fe=a.Z.fromLngLat(Q,ee),Ze=Fe.x-le.x,ut=Fe.y-le.y,Mt=Fe.z-le.z,Jt=Math.hypot(Ze,ut,Mt);if(Jt===0)throw new Error(\"Can't calculate camera options with same From and To\");let $t=Math.hypot(Ze,ut),yr=this.transform.scaleZoom(this.transform.cameraToCenterDistance/Jt/this.transform.tileSize),Cr=180*Math.atan2(Ze,-ut)/Math.PI,ve=180*Math.acos($t/Jt)/Math.PI;return ve=Mt<0?90-ve:90+ve,{center:Fe.toLngLat(),zoom:yr,pitch:ve,bearing:Cr}}easeTo(w,B){var Q;this._stop(!1,w.easeId),((w=a.e({offset:[0,0],duration:500,easing:a.b9},w)).animate===!1||!w.essential&&u.prefersReducedMotion)&&(w.duration=0);let ee=this._getTransformForUpdate(),le=ee.zoom,Fe=ee.bearing,Ze=ee.pitch,ut=ee.padding,Mt=\"bearing\"in w?this._normalizeBearing(w.bearing,Fe):Fe,Jt=\"pitch\"in w?+w.pitch:Ze,$t=\"padding\"in w?w.padding:ee.padding,yr=a.P.convert(w.offset),Cr=ee.centerPoint.add(yr),ve=ee.pointLocation(Cr),{center:xe,zoom:Ie}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(xe,ee);let ze=ee.project(ve),Qe=ee.project(xe).sub(ze),Xe=ee.zoomScale(Ie-le),nt,qt;w.around&&(nt=a.N.convert(w.around),qt=ee.locationPoint(nt));let Wt={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||Ie!==le,this._rotating=this._rotating||Fe!==Mt,this._pitching=this._pitching||Jt!==Ze,this._padding=!ee.isPaddingEqual($t),this._easeId=w.easeId,this._prepareEase(B,w.noMoveStart,Wt),this.terrain&&this._prepareElevation(xe),this._ease((nr=>{if(this._zooming&&(ee.zoom=a.y.number(le,Ie,nr)),this._rotating&&(ee.bearing=a.y.number(Fe,Mt,nr)),this._pitching&&(ee.pitch=a.y.number(Ze,Jt,nr)),this._padding&&(ee.interpolatePadding(ut,$t,nr),Cr=ee.centerPoint.add(yr)),this.terrain&&!w.freezeElevation&&this._updateElevation(nr),nt)ee.setLocationAtPoint(nt,qt);else{let fr=ee.zoomScale(ee.zoom-le),br=Ie>le?Math.min(2,Xe):Math.max(.5,Xe),Fr=Math.pow(br,1-nr),Hr=ee.unproject(ze.add(Qe.mult(nr*Fr)).mult(fr));ee.setLocationAtPoint(ee.renderWorldCopies?Hr.wrap():Hr,Cr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)}),(nr=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,nr)}),w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitude<Q){let ee=this.calculateCameraOptionsFromTo(B.lngLat,Q,w.center,w.elevation);return{pitch:ee.pitch,zoom:ee.zoom}}return{}}_applyUpdatedTransform(w){let B=[];if(this.terrain&&B.push((ee=>this._elevateCameraIfInsideTerrain(ee))),this.transformCameraUpdate&&B.push((ee=>this.transformCameraUpdate(ee))),!B.length)return;let Q=w.clone();for(let ee of B){let le=Q.clone(),{center:Fe,zoom:Ze,pitch:ut,bearing:Mt,elevation:Jt}=ee(le);Fe&&(le.center=Fe),Ze!==void 0&&(le.zoom=Ze),ut!==void 0&&(le.pitch=ut),Mt!==void 0&&(le.bearing=Mt),Jt!==void 0&&(le.elevation=Jt),Q.apply(le)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,le=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),le&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Ln=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Ln,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),le=ee.zoom,Fe=ee.bearing,Ze=ee.pitch,ut=ee.padding,Mt=\"bearing\"in w?this._normalizeBearing(w.bearing,Fe):Fe,Jt=\"pitch\"in w?+w.pitch:Ze,$t=\"padding\"in w?w.padding:ee.padding,yr=a.P.convert(w.offset),Cr=ee.centerPoint.add(yr),ve=ee.pointLocation(Cr),{center:xe,zoom:Ie}=ee.getConstrained(a.N.convert(w.center||ve),(Q=w.zoom)!==null&&Q!==void 0?Q:le);this._normalizeCenter(xe,ee);let ze=ee.zoomScale(Ie-le),Qe=ee.project(ve),Xe=ee.project(xe).sub(Qe),nt=w.curve,qt=Math.max(ee.width,ee.height),Wt=qt/ze,nr=Xe.mag();if(\"minZoom\"in w){let Ln=a.ac(Math.min(w.minZoom,le,Ie),ee.minZoom,ee.maxZoom),Kn=qt/ee.zoomScale(Ln-le);nt=Math.sqrt(Kn/nr*2)}let fr=nt*nt;function br(Ln){let Kn=(Wt*Wt-qt*qt+(Ln?-1:1)*fr*fr*nr*nr)/(2*(Ln?Wt:qt)*fr*nr);return Math.log(Math.sqrt(Kn*Kn+1)-Kn)}function Fr(Ln){return(Math.exp(Ln)-Math.exp(-Ln))/2}function Hr(Ln){return(Math.exp(Ln)+Math.exp(-Ln))/2}let ri=br(!1),Ci=function(Ln){return Hr(ri)/Hr(ri+nt*Ln)},cn=function(Ln){return qt*((Hr(ri)*(Fr(Kn=ri+nt*Ln)/Hr(Kn))-Fr(ri))/fr)/nr;var Kn},sn=(br(!0)-ri)/nt;if(Math.abs(nr)<1e-6||!isFinite(sn)){if(Math.abs(qt-Wt)<1e-6)return this.easeTo(w,B);let Ln=Wt<qt?-1:1;sn=Math.abs(Math.log(Wt/qt))/nt,cn=()=>0,Ci=Kn=>Math.exp(Ln*nt*Kn)}return w.duration=\"duration\"in w?+w.duration:1e3*sn/(\"screenSpeed\"in w?+w.screenSpeed/nt:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=Fe!==Mt,this._pitching=Jt!==Ze,this._padding=!ee.isPaddingEqual($t),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(xe),this._ease((Ln=>{let Kn=Ln*sn,Aa=1/Ci(Kn);ee.zoom=Ln===1?Ie:le+ee.scaleZoom(Aa),this._rotating&&(ee.bearing=a.y.number(Fe,Mt,Ln)),this._pitching&&(ee.pitch=a.y.number(Ze,Jt,Ln)),this._padding&&(ee.interpolatePadding(ut,$t,Ln),Cr=ee.centerPoint.add(yr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Ln);let fa=Ln===1?xe:ee.unproject(Qe.add(Xe.mult(cn(Kn))).mult(Aa));ee.setLocationAtPoint(ee.renderWorldCopies?fa.wrap():fa,Cr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)}),(()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)}),w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)<Q&&(w-=360),Math.abs(w+360-B)<Q&&(w+=360),w}_normalizeCenter(w,B){if(!B.renderWorldCopies||B.lngRange)return;let Q=w.lng-B.center.lng;w.lng+=Q>180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let La={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Ua{constructor(w=La){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map((ee=>typeof ee!=\"string\"?\"\":ee))):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let le=B[ee];if(le.used||le.usedForTerrain){let Fe=le.getSource();Fe.attribution&&w.indexOf(Fe.attribution)<0&&w.push(Fe.attribution)}}w=w.filter((ee=>String(ee).trim())),w.sort(((ee,le)=>ee.length-le.length)),w=w.filter(((ee,le)=>{for(let Fe=le+1;Fe<w.length;Fe++)if(w[Fe].indexOf(ee)>=0)return!1;return!0}));let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Zn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Dn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ka=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class bo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Tt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((w=>this.getTileByID(w)))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16),a.aP(le.posMatrix,0,a.X,0,a.X,0,1),B[Q]=le}else if(ee.canonical.isChildOf(w.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let Fe=ee.canonical.z-w.canonical.z,Ze=ee.canonical.x-(ee.canonical.x>>Fe<<Fe),ut=ee.canonical.y-(ee.canonical.y>>Fe<<Fe),Mt=a.X>>Fe;a.aP(le.posMatrix,0,Mt,0,Mt,0,1),a.J(le.posMatrix,le.posMatrix,[-Ze*Mt,-ut*Mt,0]),B[Q]=le}else if(w.canonical.isChildOf(ee.canonical)){let le=w.clone();le.posMatrix=new Float64Array(16);let Fe=w.canonical.z-ee.canonical.z,Ze=w.canonical.x-(w.canonical.x>>Fe<<Fe),ut=w.canonical.y-(w.canonical.y>>Fe<<Fe),Mt=a.X>>Fe;a.aP(le.posMatrix,0,a.X,0,a.X,0,1),a.J(le.posMatrix,le.posMatrix,[Ze*Mt,ut*Mt,0]),a.K(le.posMatrix,le.posMatrix,[1/2**Fe,1/2**Fe,0]),B[Q]=le}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee<Q.minzoom)return null;this._sourceTileCache[w.key]||(this._sourceTileCache[w.key]=w.scaledTo(ee).key);let le=this.sourceCache.getTileByID(this._sourceTileCache[w.key]);if((!le||!le.dem)&&B)for(;ee>=Q.minzoom&&(!le||!le.dem);)le=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return le}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter((B=>B.timeAdded>=w))}}class Zo{constructor(w,B,Q){this.painter=w,this.sourceCache=new bo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var le;if(!(B>=0&&B<ee&&Q>=0&&Q<ee))return 0;let Fe=this.getTerrainData(w),Ze=(le=Fe.tile)===null||le===void 0?void 0:le.dem;if(!Ze)return 0;let ut=(function(ve,xe,Ie){var ze=xe[0],Qe=xe[1];return ve[0]=Ie[0]*ze+Ie[4]*Qe+Ie[12],ve[1]=Ie[1]*ze+Ie[5]*Qe+Ie[13],ve})([],[B/ee*a.X,Q/ee*a.X],Fe.u_terrain_matrix),Mt=[ut[0]*Ze.dim,ut[1]*Ze.dim],Jt=Math.floor(Mt[0]),$t=Math.floor(Mt[1]),yr=Mt[0]-Jt,Cr=Mt[1]-$t;return Ze.get(Jt,$t)*(1-yr)*(1-Cr)+Ze.get(Jt+1,$t)*yr*(1-Cr)+Ze.get(Jt,$t+1)*(1-yr)*Cr+Ze.get(Jt+1,$t+1)*yr*Cr}getElevationForLngLatZoom(w,B){if(!a.bb(B,w.wrap()))return 0;let{tileID:Q,mercatorX:ee,mercatorY:le}=this._getOverscaledTileIDFromLngLatZoom(w,B);return this.getElevation(Q,ee%a.X,le%a.X,a.X)}getElevation(w,B,Q,ee=a.X){return this.getDEMElevation(w,B,Q,ee)*this.exaggeration}getTerrainData(w){if(!this._emptyDemTexture){let ee=this.painter.context,le=new a.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new g(ee,le,ee.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new g(ee,new a.R({width:1,height:1}),ee.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=a.an([])}let B=this.sourceCache.getSourceTile(w,!0);if(B&&B.dem&&(!B.demTexture||B.needsTerrainPrepare)){let ee=this.painter.context;B.demTexture=this.painter.getTileTexture(B.dem.stride),B.demTexture?B.demTexture.update(B.dem.getPixels(),{premultiply:!1}):B.demTexture=new g(ee,B.dem.getPixels(),ee.gl.RGBA,{premultiply:!1}),B.demTexture.bind(ee.gl.NEAREST,ee.gl.CLAMP_TO_EDGE),B.needsTerrainPrepare=!1}let Q=B&&B+B.tileID.key+w.key;if(Q&&!this._demMatrixCache[Q]){let ee=this.sourceCache.sourceCache._source.maxzoom,le=w.canonical.z-B.tileID.canonical.z;w.overscaledZ>w.canonical.z&&(w.canonical.z>=ee?le=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let Fe=w.canonical.x-(w.canonical.x>>le<<le),Ze=w.canonical.y-(w.canonical.y>>le<<le),ut=a.bc(new Float64Array(16),[1/(a.X<<le),1/(a.X<<le),0]);a.J(ut,ut,[Fe*a.X,Ze*a.X,0]),this._demMatrixCache[w.key]={matrix:ut,coord:w}}return{u_depth:2,u_terrain:3,u_terrain_dim:B&&B.dem&&B.dem.dim||1,u_terrain_matrix:Q?this._demMatrixCache[w.key].matrix:this._emptyDemMatrix,u_terrain_unpack:B&&B.dem&&B.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(B&&B.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:B}}getFramebuffer(w){let B=this.painter,Q=B.width/devicePixelRatio,ee=B.height/devicePixelRatio;return!this._fbo||this._fbo.width===Q&&this._fbo.height===ee||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new g(B.context,{width:Q,height:ee,data:null},B.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(B.context.gl.NEAREST,B.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=B.context.createFramebuffer(Q,ee,!0,!1),this._fbo.depthAttachment.set(B.context.createRenderbuffer(B.context.gl.DEPTH_COMPONENT16,Q,ee))),this._fbo.colorAttachment.set(w===\"coords\"?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){let w=this.painter.context;if(this._coordsTexture)return this._coordsTexture;let B=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let le=0,Fe=0;le<this._coordsTextureSize;le++)for(let Ze=0;Ze<this._coordsTextureSize;Ze++,Fe+=4)B[Fe+0]=255&Ze,B[Fe+1]=255&le,B[Fe+2]=Ze>>8<<4|le>>8,B[Fe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new g(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,le=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),Fe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),Ze=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(le,Ze-Fe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let ut=B[0]+(B[2]>>4<<8),Mt=B[1]+((15&B[2])<<8),Jt=this.coordsIndex[255-B[3]],$t=Jt&&this.sourceCache.getTileByID(Jt);if(!$t)return null;let yr=this._coordsTextureSize,Cr=(1<<$t.tileID.canonical.z)*yr;return new a.Z(($t.tileID.canonical.x*yr+ut)/Cr+$t.tileID.wrap,($t.tileID.canonical.y*yr+Mt)/Cr,this.getElevation($t.tileID,ut,Mt,yr))}depthAtPoint(w){let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl;return Q.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),ee.readPixels(w.x,this.painter.height/devicePixelRatio-w.y-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null),(B[0]/16777216+B[1]/65536+B[2]/256+B[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;let w=this.painter.context,B=new a.bd,Q=new a.aY,ee=this.meshSize,le=a.X/ee,Fe=ee*ee;for(let $t=0;$t<=ee;$t++)for(let yr=0;yr<=ee;yr++)B.emplaceBack(yr*le,$t*le,0);for(let $t=0;$t<Fe;$t+=ee+1)for(let yr=0;yr<ee;yr++)Q.emplaceBack(yr+$t,ee+yr+$t+1,ee+yr+$t+2),Q.emplaceBack(yr+$t,ee+yr+$t+2,yr+$t+1);let Ze=B.length,ut=Ze+2*(ee+1);for(let $t of[0,1])for(let yr=0;yr<=ee;yr++)for(let Cr of[0,1])B.emplaceBack(yr*le,$t*a.X,Cr);for(let $t=0;$t<2*ee;$t+=2)Q.emplaceBack(ut+$t,ut+$t+1,ut+$t+3),Q.emplaceBack(ut+$t,ut+$t+3,ut+$t+2),Q.emplaceBack(Ze+$t,Ze+$t+3,Ze+$t+1),Q.emplaceBack(Ze+$t,Ze+$t+2,Ze+$t+3);let Mt=B.length,Jt=Mt+2*(ee+1);for(let $t of[0,1])for(let yr=0;yr<=ee;yr++)for(let Cr of[0,1])B.emplaceBack($t*a.X,yr*le,Cr);for(let $t=0;$t<2*ee;$t+=2)Q.emplaceBack(Mt+$t,Mt+$t+1,Mt+$t+3),Q.emplaceBack(Mt+$t,Mt+$t+3,Mt+$t+2),Q.emplaceBack(Jt+$t,Jt+$t+3,Jt+$t+1),Q.emplaceBack(Jt+$t,Jt+$t+2,Jt+$t+3);return this._mesh=new Eu(w.createVertexBuffer(B,Ka.members),w.createIndexBuffer(Q),a.a0.simpleSegment(0,0,B.length,Q.length)),this._mesh}getMeshFrameDelta(w){return 2*Math.PI*a.be/Math.pow(2,w)/5}getMinTileElevationForLngLatZoom(w,B){var Q;let{tileID:ee}=this._getOverscaledTileIDFromLngLatZoom(w,B);return(Q=this.getMinMaxElevation(ee).minElevation)!==null&&Q!==void 0?Q:0}getMinMaxElevation(w){let B=this.getTerrainData(w).tile,Q={minElevation:null,maxElevation:null};return B&&B.dem&&(Q.minElevation=B.dem.min*this.exaggeration,Q.maxElevation=B.dem.max*this.exaggeration),Q}_getOverscaledTileIDFromLngLatZoom(w,B){let Q=a.Z.fromLngLat(w.wrap()),ee=(1<<B)*a.X,le=Q.x*ee,Fe=Q.y*ee,Ze=Math.floor(le/a.X),ut=Math.floor(Fe/a.X);return{tileID:new a.S(B,0,B,Ze,ut),mercatorX:le,mercatorY:Fe}}}class Ss{constructor(w,B,Q){this._context=w,this._size=B,this._tileSize=Q,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(let w of this._objects)w.texture.destroy(),w.fbo.destroy()}_createObject(w){let B=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),Q=new g(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return Q.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),B.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),B.colorAttachment.set(Q.texture),{id:w,fbo:B,texture:Q,stamp:-1,inUse:!1}}getObjectForId(w){return this._objects[w]}useObject(w){w.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((B=>w.id!==B)),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length<this._size)&&this._objects.some((w=>!w.inUse))===!1}}let as={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ws{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ss(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter((Q=>!w._layers[Q].isHidden(B))),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let le of ee){let Fe=this.terrain.sourceCache.getTerrainCoords(le);for(let Ze in Fe)this._coordsDescendingInv[Q][Ze]||(this._coordsDescendingInv[Q][Ze]=[]),this._coordsDescendingInv[Q][Ze].push(Fe[Ze])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],le=ee.source;if(as[ee.type]&&!this._coordsDescendingInvStr[le]){this._coordsDescendingInvStr[le]={};for(let Fe in this._coordsDescendingInv[le])this._coordsDescendingInvStr[le][Fe]=this._coordsDescendingInv[le][Fe].map((Ze=>Ze.key)).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let le=this._coordsDescendingInvStr[ee][Q.tileID.key];le&&le!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(as[B]&&(this._prevType&&as[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(as[this._prevType]||as[B]&&ee){this._prevType=B;let le=this._stacks.length-1,Fe=this._stacks[le]||[];for(let Ze of this._renderableTiles){if(this.pool.isFull()&&(js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(Ze),Ze.rtt[le]){let Mt=this.pool.getObjectForId(Ze.rtt[le].id);if(Mt.stamp===Ze.rtt[le].stamp){this.pool.useObject(Mt);continue}}let ut=this.pool.getOrCreateFreeObject();this.pool.useObject(ut),this.pool.stampObject(ut),Ze.rtt[le]={id:ut.id,stamp:ut.stamp},Q.context.bindFramebuffer.set(ut.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let Mt=0;Mt<Fe.length;Mt++){let Jt=Q.style._layers[Fe[Mt]],$t=Jt.source?this._coordsDescendingInv[Jt.source][Ze.tileID.key]:[Ze.tileID];Q.context.viewport.set([0,0,ut.fbo.width,ut.fbo.height]),Q._renderTileClippingMasks(Jt,$t),Q.renderLayer(Q,Q.style.sourceCaches[Jt.source],Jt,$t),Jt.source&&(Ze.rttCoords[Jt.source]=this._coordsDescendingInvStr[Jt.source][Ze.tileID.key])}}return js(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),as[B]}return!1}}let Ho={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use \\u2318 + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ml=o,Ws={hash:!1,interactive:!0,bearingSnap:7,attributionControl:La,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:a.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0},Ls=ue=>{ue.touchstart=ue.dragStart,ue.touchmoveWindow=ue.dragMove,ue.touchend=ue.dragEnd},va={showCompass:!0,showZoom:!0,visualizePitch:!1};class no{constructor(w,B,Q=!1){this.mousedown=Fe=>{this.startMouse(a.e({},Fe,{ctrlKey:!0,preventDefault:()=>Fe.preventDefault()}),c.mousePos(this.element,Fe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=Fe=>{this.moveMouse(Fe,c.mousePos(this.element,Fe))},this.mouseup=Fe=>{this.mouseRotate.dragEnd(Fe),this.mousePitch&&this.mousePitch.dragEnd(Fe),this.offTemp()},this.touchstart=Fe=>{Fe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,Fe.targetTouches)[0],this.startTouch(Fe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=Fe=>{Fe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,Fe.targetTouches)[0],this.moveTouch(Fe,this._lastPos))},this.touchend=Fe=>{Fe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),le=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Wl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:Fe,clickTolerance:Ze,bearingDegreesPerPixelMoved:ut=.8})=>{let Mt=new cf;return new Wu({clickTolerance:Ze,move:(Jt,$t)=>({bearingDelta:($t.x-Jt.x)*ut}),moveStateManager:Mt,enable:Fe,assignEvents:Ls})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=ah({clickTolerance:le,enable:!0}),this.touchPitch=(({enable:Fe,clickTolerance:Ze,pitchDegreesPerPixelMoved:ut=-.5})=>{let Mt=new cf;return new Wu({clickTolerance:Ze,move:(Jt,$t)=>({pitchDelta:($t.y-Jt.y)*ut}),moveStateManager:Mt,enable:Fe,assignEvents:Ls})})({clickTolerance:le,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:le}=this.mousePitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:le}=this.touchPitch.dragMove(w,B)||{};le&&Q.setPitch(Q.getPitch()+le)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let ys;function rs(ue,w,B){let Q=new a.N(ue.lng,ue.lat);if(ue=new a.N(ue.lng,ue.lat),w){let ee=new a.N(ue.lng-360,ue.lat),le=new a.N(ue.lng+360,ue.lat),Fe=B.locationPoint(ue).distSqr(w);B.locationPoint(ee).distSqr(w)<Fe?ue=ee:B.locationPoint(le).distSqr(w)<Fe&&(ue=le)}for(;Math.abs(ue.lng-B.center.lng)>180;){let ee=B.locationPoint(ue);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;ue.lng>B.center.lng?ue.lng-=360:ue.lng+=360}return ue.lng!==Q.lng&&B.locationPoint(ue).y>B.height/2-B.getHorizon()?ue:Q}let Ql={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Cu(ue,w,B){let Q=ue.classList;for(let ee in Ql)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class Yu extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?rs(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let le=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?le=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(le=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let Fe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?Fe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(Fe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${Ql[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${Fe} ${le}`),u.frameAsync(new AbortController).then((()=>{this._updateOpacity(B&&B.type===\"moveend\")})).catch((()=>{}))},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let le=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");le.setAttributeNS(null,\"stroke\",\"none\"),le.setAttributeNS(null,\"stroke-width\",\"1\"),le.setAttributeNS(null,\"fill\",\"none\"),le.setAttributeNS(null,\"fill-rule\",\"evenodd\");let Fe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Fe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let Ze=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ze.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),Ze.setAttributeNS(null,\"fill\",\"#000000\");let ut=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let ze of ut){let Qe=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Qe.setAttributeNS(null,\"opacity\",\"0.04\"),Qe.setAttributeNS(null,\"cx\",\"10.5\"),Qe.setAttributeNS(null,\"cy\",\"5.80029008\"),Qe.setAttributeNS(null,\"rx\",ze.rx),Qe.setAttributeNS(null,\"ry\",ze.ry),Ze.appendChild(Qe)}let Mt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Mt.setAttributeNS(null,\"fill\",this._color);let Jt=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Jt.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),Mt.appendChild(Jt);let $t=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");$t.setAttributeNS(null,\"opacity\",\"0.25\"),$t.setAttributeNS(null,\"fill\",\"#000000\");let yr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");yr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),$t.appendChild(yr);let Cr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Cr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Cr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let ve=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");ve.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let xe=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");xe.setAttributeNS(null,\"fill\",\"#000000\"),xe.setAttributeNS(null,\"opacity\",\"0.25\"),xe.setAttributeNS(null,\"cx\",\"5.5\"),xe.setAttributeNS(null,\"cy\",\"5.5\"),xe.setAttributeNS(null,\"r\",\"5.4999962\");let Ie=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Ie.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Ie.setAttributeNS(null,\"cx\",\"5.5\"),Ie.setAttributeNS(null,\"cy\",\"5.5\"),Ie.setAttributeNS(null,\"r\",\"5.4999962\"),ve.appendChild(xe),ve.appendChild(Ie),Fe.appendChild(Ze),Fe.appendChild(Mt),Fe.appendChild($t),Fe.appendChild(Cr),Fe.appendChild(ve),B.appendChild(Fe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(B=>{B.preventDefault()})),this._element.addEventListener(\"mousedown\",(B=>{B.preventDefault()})),Cu(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}let ee=this._map,le=ee.terrain.depthAtPoint(this._pos),Fe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,Fe)-le<.006)return void(this._element.style.opacity=this._opacity);let Ze=-this._offset.y/ee.transform._pixelPerMeter,ut=Math.sin(ee.getPitch()*Math.PI/180)*Ze,Mt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Jt=ee.transform.lngLatToCameraDepth(this._lngLat,Fe+ut)-Mt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Jt&&this._popup.remove(),this._element.style.opacity=Jt?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let Nc={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},pu=0,Uc=!1,xu={maxWidth:100,unit:\"metric\"};function Ac(ue,w,B){let Q=B&&B.maxWidth||100,ee=ue._container.clientHeight/2,le=ue.unproject([0,ee]),Fe=ue.unproject([Q,ee]),Ze=le.distanceTo(Fe);if(B&&B.unit===\"imperial\"){let ut=3.2808*Ze;ut>5280?Va(w,Q,ut/5280,ue._getUIString(\"ScaleControl.Miles\")):Va(w,Q,ut,ue._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Va(w,Q,Ze/1852,ue._getUIString(\"ScaleControl.NauticalMiles\")):Ze>=1e3?Va(w,Q,Ze/1e3,ue._getUIString(\"ScaleControl.Kilometers\")):Va(w,Q,Ze,ue._getUIString(\"ScaleControl.Meters\"))}function Va(ue,w,B,Q){let ee=(function(le){let Fe=Math.pow(10,`${Math.floor(le)}`.length-1),Ze=le/Fe;return Ze=Ze>=10?10:Ze>=5?5:Ze>=3?3:Ze>=2?2:Ze>=1?1:(function(ut){let Mt=Math.pow(10,Math.ceil(-Math.log(ut)/Math.LN10));return Math.round(ut*Mt)/Mt})(Ze),Fe*Ze})(B);ue.style.width=w*(ee/B)+\"px\",ue.innerHTML=`${ee}&nbsp;${Q}`}let oo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Vc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function hc(ue){if(ue){if(typeof ue==\"number\"){let w=Math.round(Math.abs(ue)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,ue),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-ue),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(ue,0),right:new a.P(-ue,0)}}if(ue instanceof a.P||Array.isArray(ue)){let w=a.P.convert(ue);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(ue.center||[0,0]),top:a.P.convert(ue.top||[0,0]),\"top-left\":a.P.convert(ue[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(ue[\"top-right\"]||[0,0]),bottom:a.P.convert(ue.bottom||[0,0]),\"bottom-left\":a.P.convert(ue[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(ue[\"bottom-right\"]||[0,0]),left:a.P.convert(ue.left||[0,0]),right:a.P.convert(ue.right||[0,0])}}return hc(new a.P(0,0))}let Ku=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=Ua,i.BoxZoomHandler=ku,i.CanvasSource=rr,i.CooperativeGesturesHandler=$i,i.DoubleClickZoomHandler=Mi,i.DragPanHandler=wn,i.DragRotateHandler=On,i.EdgeInsets=hu,i.FullscreenControl=class extends a.E{constructor(ue={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,ue&&ue.container&&(ue.container instanceof HTMLElement?this._container=ue.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(ue){return this._map=ue,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let ue=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",ue).setAttribute(\"aria-hidden\",\"true\"),ue.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let ue=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",ue),this._fullscreenButton.title=ue}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=at,i.GeolocateControl=class extends a.E{constructor(ue){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),le=a.e({bearing:ee},this.options.fitBoundsOptions),Fe=ce.fromLngLat(B,Q);this._map.fitBounds(Fe,le,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Uc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(w=>w.preventDefault())),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Yu({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Yu({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))}))}},this.options=a.e({},Nc,ue)}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),(function(){return a._(this,arguments,void 0,(function*(w=!1){if(ys!==void 0&&!w)return ys;if(window.navigator.permissions===void 0)return ys=!!window.navigator.geolocation,ys;try{ys=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){ys=!!window.navigator.geolocation}return ys}))})().then((w=>this._finishSetupUI(w))),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,pu=0,Uc=!1}_isOutOfMapMaxBounds(ue){let w=this._map.getMaxBounds(),B=ue.coords;return w&&(B.longitude<w.getWest()||B.longitude>w.getEast()||B.latitude<w.getSouth()||B.latitude>w.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let ue=this._map.getBounds(),w=ue.getSouthEast(),B=ue.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":pu--,Uc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let ue;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),pu++,pu>1?(ue={maximumAge:6e5,timeout:0},Uc=!0):(ue=this.options.positionOptions,Uc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,ue)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=Mh,i.ImageSource=ar,i.KeyboardHandler=Zt,i.LngLatBounds=ce,i.LogoControl=Zn,i.Map=class extends Ra{constructor(ue){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Ws),ue);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new il(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Dn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Ho),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new k(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=nh((ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())}),50);this._resizeObserver=new ResizeObserver((ee=>{B?Q(ee):B=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Ca(this,w),this._hash=w.hash&&new Mh(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new Ua(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Zn,w.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))})),this.on(\"dataloading\",(B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))})),this.on(\"dataabort\",(B=>{this.fire(new a.k(\"sourcedataabort\",B))}))}_getMapId(){return this._mapId}addControl(ue,w){if(w===void 0&&(w=ue.getDefaultPosition?ue.getDefaultPosition():\"top-right\"),!ue||!ue.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=ue.onAdd(this);this._controls.push(ue);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(ue){if(!ue||!ue.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(ue);return w>-1&&this._controls.splice(w,1),ue.onRemove(this),this}hasControl(ue){return this._controls.indexOf(ue)>-1}calculateCameraOptionsFromTo(ue,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(ue,w,B,Q)}resize(ue){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],le=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,le),this.painter.resize(Q,ee,le),this.painter.overLimit()){let Ze=this.painter.context.gl;this._maxCanvasSize=[Ze.drawingBufferWidth,Ze.drawingBufferHeight];let ut=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,ut),this.painter.resize(Q,ee,ut)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let Fe=!this._moving;return Fe&&(this.stop(),this.fire(new a.k(\"movestart\",ue)).fire(new a.k(\"move\",ue))),this.fire(new a.k(\"resize\",ue)),Fe&&this.fire(new a.k(\"moveend\",ue)),this}_getClampedPixelRatio(ue,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),le=ue*ee,Fe=w*ee;return Math.min(le>B?B/le:1,Fe>Q?Q/Fe:1)*ee}getPixelRatio(){var ue;return(ue=this._overridePixelRatio)!==null&&ue!==void 0?ue:devicePixelRatio}setPixelRatio(ue){this._overridePixelRatio=ue,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(ue){return this.transform.setMaxBounds(ce.convert(ue)),this._update()}setMinZoom(ue){if((ue=ue==null?-2:ue)>=-2&&ue<=this.transform.maxZoom)return this.transform.minZoom=ue,this._update(),this.getZoom()<ue&&this.setZoom(ue),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(ue){if((ue=ue==null?22:ue)>=this.transform.minZoom)return this.transform.maxZoom=ue,this._update(),this.getZoom()>ue&&this.setZoom(ue),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(ue){if((ue=ue==null?0:ue)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(ue>=0&&ue<=this.transform.maxPitch)return this.transform.minPitch=ue,this._update(),this.getPitch()<ue&&this.setPitch(ue),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(ue){if((ue=ue==null?60:ue)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(ue>=this.transform.minPitch)return this.transform.maxPitch=ue,this._update(),this.getPitch()>ue&&this.setPitch(ue),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(ue){return this.transform.renderWorldCopies=ue,this._update()}project(ue){return this.transform.locationPoint(a.N.convert(ue),this.style&&this.terrain)}unproject(ue){return this.transform.pointLocation(a.P.convert(ue),this.terrain)}isMoving(){var ue;return this._moving||((ue=this.handlers)===null||ue===void 0?void 0:ue.isMoving())}isZooming(){var ue;return this._zooming||((ue=this.handlers)===null||ue===void 0?void 0:ue.isZooming())}isRotating(){var ue;return this._rotating||((ue=this.handlers)===null||ue===void 0?void 0:ue.isRotating())}_createDelegatedListener(ue,w,B){if(ue===\"mouseenter\"||ue===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:le=>{let Fe=w.filter((ut=>this.getLayer(ut))),Ze=Fe.length!==0?this.queryRenderedFeatures(le.point,{layers:Fe}):[];Ze.length?Q||(Q=!0,B.call(this,new jl(ue,this,le.originalEvent,{features:Ze}))):Q=!1},mouseout:()=>{Q=!1}}}}if(ue===\"mouseleave\"||ue===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:Fe=>{let Ze=w.filter((ut=>this.getLayer(ut)));(Ze.length!==0?this.queryRenderedFeatures(Fe.point,{layers:Ze}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new jl(ue,this,Fe.originalEvent)))},mouseout:Fe=>{Q&&(Q=!1,B.call(this,new jl(ue,this,Fe.originalEvent)))}}}}{let Q=ee=>{let le=w.filter((Ze=>this.getLayer(Ze))),Fe=le.length!==0?this.queryRenderedFeatures(ee.point,{layers:le}):[];Fe.length&&(ee.features=Fe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[ue]:Q}}}}_saveDelegatedListener(ue,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[ue]=this._delegatedListeners[ue]||[],this._delegatedListeners[ue].push(w)}_removeDelegatedListener(ue,w,B){if(!this._delegatedListeners||!this._delegatedListeners[ue])return;let Q=this._delegatedListeners[ue];for(let ee=0;ee<Q.length;ee++){let le=Q[ee];if(le.listener===B&&le.layers.length===w.length&&le.layers.every((Fe=>w.includes(Fe)))){for(let Fe in le.delegates)this.off(Fe,le.delegates[Fe]);return void Q.splice(ee,1)}}}on(ue,w,B){if(B===void 0)return super.on(ue,w);let Q=this._createDelegatedListener(ue,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(ue,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(ue,w,B){if(B===void 0)return super.once(ue,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(ue,Q,B);for(let le in ee.delegates){let Fe=ee.delegates[le];ee.delegates[le]=(...Ze)=>{this._removeDelegatedListener(ue,Q,B),Fe(...Ze)}}this._saveDelegatedListener(ue,ee);for(let le in ee.delegates)this.once(le,ee.delegates[le]);return this}off(ue,w,B){return B===void 0?super.off(ue,w):(this._removeDelegatedListener(ue,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(ue,w){if(!this.style)return[];let B,Q=ue instanceof a.P||Array.isArray(ue),ee=Q?ue:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:ue)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let le=a.P.convert(ee[0]),Fe=a.P.convert(ee[1]);B=[le,new a.P(Fe.x,le.y),Fe,new a.P(le.x,Fe.y),le]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(ue,w){return this.style.querySourceFeatures(ue,w)}setStyle(ue,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&ue?(this._diffStyle(ue,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(ue,w))}setTransformRequest(ue){return this._requestManager.setTransformRequest(ue),this}_getUIString(ue){let w=this._locale[ue];if(w==null)throw new Error(`Missing UI string '${ue}'`);return w}_updateStyle(ue,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(ue,w)));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!ue)),ue?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof ue==\"string\"?this.style.loadURL(ue,w,B):this.style.loadJSON(ue,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(ue,w){if(typeof ue==\"string\"){let B=this._requestManager.transformRequest(ue,\"Style\");a.h(B,new AbortController).then((Q=>{this._updateDiff(Q.data,w)})).catch((Q=>{Q&&this.fire(new a.j(Q))}))}else typeof ue==\"object\"&&this._updateDiff(ue,w)}_updateDiff(ue,w){try{this.style.setState(ue,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}.  Rebuilding the style from scratch.`),this._updateStyle(ue,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(ue,w){return this._lazyInitEmptyStyle(),this.style.addSource(ue,w),this._update(!0)}isSourceLoaded(ue){let w=this.style&&this.style.sourceCaches[ue];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${ue}'`)))}setTerrain(ue){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),ue){let w=this.style.sourceCaches[ue.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${ue.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===ue.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Zo(this.painter,w,ue),this.painter.renderToTexture=new ws(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==ue.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:ue})),this}getTerrain(){var ue,w;return(w=(ue=this.terrain)===null||ue===void 0?void 0:ue.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let ue=this.style&&this.style.sourceCaches;for(let w in ue){let B=ue[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(ue){return this.style.removeSource(ue),this._update(!0)}getSource(ue){return this.style.getSource(ue)}addImage(ue,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Jt,height:$t,data:yr}=w,Cr=w;return this.style.addImage(ue,{data:new a.R({width:Jt,height:$t},new Uint8Array(yr)),pixelRatio:Q,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt,sdf:ee,version:0,userImage:Cr}),Cr.onAdd&&Cr.onAdd(this,ue),this}}{let{width:Jt,height:$t,data:yr}=u.getImageData(w);this.style.addImage(ue,{data:new a.R({width:Jt,height:$t},yr),pixelRatio:Q,stretchX:le,stretchY:Fe,content:Ze,textFitWidth:ut,textFitHeight:Mt,sdf:ee,version:0})}}updateImage(ue,w){let B=this.style.getImage(ue);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:le,data:Fe}=Q;if(ee===void 0||le===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||le!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let Ze=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(Fe,Ze),this.style.updateImage(ue,B),this}getImage(ue){return this.style.getImage(ue)}hasImage(ue){return ue?!!this.style.getImage(ue):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(ue){this.style.removeImage(ue)}loadImage(ue){return p.getImage(this._requestManager.transformRequest(ue,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(ue,w){return this._lazyInitEmptyStyle(),this.style.addLayer(ue,w),this._update(!0)}moveLayer(ue,w){return this.style.moveLayer(ue,w),this._update(!0)}removeLayer(ue){return this.style.removeLayer(ue),this._update(!0)}getLayer(ue){return this.style.getLayer(ue)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(ue,w,B){return this.style.setLayerZoomRange(ue,w,B),this._update(!0)}setFilter(ue,w,B={}){return this.style.setFilter(ue,w,B),this._update(!0)}getFilter(ue){return this.style.getFilter(ue)}setPaintProperty(ue,w,B,Q={}){return this.style.setPaintProperty(ue,w,B,Q),this._update(!0)}getPaintProperty(ue,w){return this.style.getPaintProperty(ue,w)}setLayoutProperty(ue,w,B,Q={}){return this.style.setLayoutProperty(ue,w,B,Q),this._update(!0)}getLayoutProperty(ue,w){return this.style.getLayoutProperty(ue,w)}setGlyphs(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(ue,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(ue,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(ue,w,B,(Q=>{Q||this._update(!0)})),this}removeSprite(ue){return this._lazyInitEmptyStyle(),this.style.removeSprite(ue),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(ue,w,(B=>{B||this._update(!0)})),this}setLight(ue,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(ue,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(ue){return this._lazyInitEmptyStyle(),this.style.setSky(ue),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(ue,w){return this.style.setFeatureState(ue,w),this._update()}removeFeatureState(ue,w){return this.style.removeFeatureState(ue,w),this._update()}getFeatureState(ue){return this.style.getFeatureState(ue)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let ue=0,w=0;return this._container&&(ue=this._container.clientWidth||400,w=this._container.clientHeight||300),[ue,w]}_setupContainer(){let ue=this._container;ue.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",ue);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",ue),le=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((Fe=>{le[Fe]=c.create(\"div\",`maplibregl-ctrl-${Fe} `,ee)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(ue,w,B){this._canvas.width=Math.floor(B*ue),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${ue}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let ue={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(Q=>{w={requestedAttributes:ue},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)}),{once:!0});let B=this._canvas.getContext(\"webgl2\",ue)||this._canvas.getContext(\"webgl\",ue);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Dc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(ue){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||ue,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(ue){return this._update(),this._renderTaskQueue.add(ue)}_cancelRenderFrame(ue){this._renderTaskQueue.remove(ue)}_render(ue){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(ue),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,le=u.now();this.style.zoomHistory.update(ee,le);let Fe=new a.z(ee,{now:le,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),Ze=Fe.crossFadingFactor();Ze===1&&Ze===this._crossFadingFactor||(B=!0,this._crossFadingFactor=Ze),this.style.update(Fe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var ue;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),(ue=this._resizeObserver)===null||ue===void 0||ue.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then((ue=>{a.bf.frame(ue),this._frameRequest=null,this._render(ue)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(ue){this._showTileBoundaries!==ue&&(this._showTileBoundaries=ue,this._update())}get showPadding(){return!!this._showPadding}set showPadding(ue){this._showPadding!==ue&&(this._showPadding=ue,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(ue){this._showCollisionBoxes!==ue&&(this._showCollisionBoxes=ue,ue?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(ue){this._showOverdrawInspector!==ue&&(this._showOverdrawInspector=ue,this._update())}get repaint(){return!!this._repaint}set repaint(ue){this._repaint!==ue&&(this._repaint=ue,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(ue){this._vertices=ue,this._update()}get version(){return ml}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=jl,i.MapTouchEvent=uf,i.MapWheelEvent=Xh,i.Marker=Yu,i.NavigationControl=class{constructor(ue){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},va,ue),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(w=>w.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(w=>this._map.zoomIn({},{originalEvent:w}))),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(w=>this._map.zoomOut({},{originalEvent:w}))),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})})),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(ue){return this._map=ue,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new no(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(ue,w){let B=c.create(\"button\",ue,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(ue){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let Ze of this.options.className.split(\" \"))this._container.classList.add(Ze);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?rs(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,le=hc(this.options.offset);if(!ee){let Ze=this._container.offsetWidth,ut=this._container.offsetHeight,Mt;Mt=Q.y+le.bottom.y<ut?[\"top\"]:Q.y>this._map.transform.height-ut?[\"bottom\"]:[],Q.x<Ze/2?Mt.push(\"left\"):Q.x>this._map.transform.width-Ze/2&&Mt.push(\"right\"),ee=Mt.length===0?\"bottom\":Mt.join(\"-\")}let Fe=Q.add(le[ee]);this.options.subpixelPositioning||(Fe=Fe.round()),c.setTransform(this._container,`${Ql[ee]} translate(${Fe.x}px,${Fe.y}px)`),Cu(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(oo),ue)}addTo(ue){return this._map&&this.remove(),this._map=ue,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(ue){return this._lngLat=a.N.convert(ue),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(ue){return this.setDOMContent(document.createTextNode(ue))}setHTML(ue){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=ue;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var ue;return(ue=this._container)===null||ue===void 0?void 0:ue.style.maxWidth}setMaxWidth(ue){return this.options.maxWidth=ue,this._update(),this}setDOMContent(ue){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(ue),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(ue){return this._container&&this._container.classList.add(ue),this}removeClassName(ue){return this._container&&this._container.classList.remove(ue),this}setOffset(ue){return this.options.offset=ue,this._update(),this}toggleClassName(ue){if(this._container)return this._container.classList.toggle(ue)}setSubpixelPositioning(ue){this.options.subpixelPositioning=ue}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let ue=this._container.querySelector(Vc);ue&&ue.focus()}},i.RasterDEMTileSource=Ht,i.RasterTileSource=mt,i.ScaleControl=class{constructor(ue){this._onMove=()=>{Ac(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Ac(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},xu),ue)}getDefaultPosition(){return\"bottom-left\"}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",ue.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Kr,i.Style=Ha,i.TerrainControl=class{constructor(ue){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=ue}onAdd(ue){return this._map=ue,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=Bc,i.TwoFingersTouchRotateHandler=ff,i.TwoFingersTouchZoomHandler=vu,i.TwoFingersTouchZoomRotateHandler=Yi,i.VectorTileSource=lt,i.VideoSource=Vt,i.addSourceType=(ue,w)=>a._(void 0,void 0,void 0,(function*(){if(je(ue))throw new Error(`A source type called \"${ue}\" already exists.`);((B,Q)=>{tt[B]=Q})(ue,w)})),i.clearPrewarmedResources=function(){let ue=ge;ue&&(ue.isPreloaded()&&ue.numActive()===1?(ue.release(_e),ge=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return St().getRTLTextPluginStatus()},i.getVersion=function(){return Ku},i.getWorkerCount=function(){return Ee.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(ue){return be().broadcast(\"IS\",ue)},i.prewarm=function(){Se().acquire(_e)},i.setMaxParallelImageRequests=function(ue){a.a.MAX_PARALLEL_IMAGE_REQUESTS=ue},i.setRTLTextPlugin=function(ue,w){return St().setRTLTextPlugin(ue,w)},i.setWorkerCount=function(ue){Ee.workerCount=ue},i.setWorkerUrl=function(ue){a.a.WORKER_URL=ue}}));var n=e;return n}))});var Eje=ye((v2r,Mje)=>{\"use strict\";var yw=Pr(),lZt=Zl().sanitizeHTML,uZt=zJ(),Tje=Ix();function Aje(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=Tje.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var sg=Aje.prototype;sg.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=y7(t)};sg.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};sg.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};sg.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};sg.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};sg.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};sg.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!y7(e)){var r=cZt(e);t.addSource(this.idSource,r)}};sg.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r<t.length;r++){var n=t[r].id;if(typeof n==\"string\"&&n.indexOf(Tje.traceLayerPrefix)===0){e=n;break}}return e};sg.updateLayer=function(e){var t=this.subplot,r=Sje(e),n=this.lookupBelow(),i=this.findFollowingMapLayerId(n);this.removeLayer(),y7(e)&&t.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":e.sourcelayer||\"\",type:e.type,minzoom:e.minzoom,maxzoom:e.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=e.type,this.below=n};sg.updateStyle=function(e){if(y7(e)){var t=Sje(e);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",t.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",t.paint)}};sg.removeLayer=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer)};sg.dispose=function(){var e=this.subplot.map;e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),e.getSource(this.idSource)&&e.removeSource(this.idSource)};function y7(e){if(!e.visible)return!1;var t=e.source;if(Array.isArray(t)&&t.length>0){for(var r=0;r<t.length;r++)if(typeof t[r]!=\"string\"||t[r].length===0)return!1;return!0}return yw.isPlainObject(t)||typeof t==\"string\"&&t.length>0}function Sje(e){var t={},r={};switch(e.type){case\"circle\":yw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":yw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":yw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=uZt(n.textposition,n.iconsize);yw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),yw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":yw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function cZt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=lZt(e.sourceattribution)),n}Mje.exports=function(t,r,n){var i=new Aje(t,r);return i.update(n),i}});var Fje=ye((p2r,Dje)=>{\"use strict\";var VJ=wje(),GJ=Pr(),Lje=ey(),kje=Oa(),fZt=ho(),hZt=yv(),_7=ef(),Pje=Cg(),dZt=Pje.drawMode,vZt=Pje.selectMode,pZt=qf().prepSelect,gZt=qf().clearOutline,mZt=qf().clearSelectionsCache,yZt=qf().selectOnClick,_w=Ix(),_Zt=Eje();function Ije(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Hh=Ije.prototype;Hh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Hh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=Rje(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new VJ.Map({container:i.div,style:o.style,center:HJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new VJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(Lje.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Hh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=Rje(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(Lje.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Hh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i<e.length;i++){var l=e[i][0].trace,u=l._module;typeof l.below==\"string\"?a=l.below:u.getBelow&&(a=u.getBelow(l,this)),a===\"\"&&(s=!0),o[\"trace-\"+l.uid]=a||\"\"}for(i=0;i<n.length;i++){var c=n[i];typeof c.below==\"string\"?a=c.below:s?a=\"traces\":a=\"\",o[\"layout-\"+i]=a}var f={},h,d;for(h in o)a=o[h],f[a]?f[a].push(h):f[a]=[h];for(a in f){var v=f[a];if(v.length>1)for(i=0;i<v.length;i++)h=v[i],h.indexOf(\"trace-\")===0?(d=h.split(\"trace-\")[1],this.traceHash[d]&&(this.traceHash[d].below=null)):h.indexOf(\"layout-\")===0&&(d=h.split(\"layout-\")[1],this.layerList[d]&&(this.layerList[d].below=null))}};var Cje={choroplethmap:0,densitymap:1,scattermap:2};Hh.updateData=function(e){var t=this.traceHash,r,n,i,a,o=e.slice().sort(function(f,h){return Cje[f[0].trace.type]-Cje[h[0].trace.type]});for(i=0;i<o.length;i++){var s=o[i];n=s[0].trace,r=t[n.uid];var l=!1;r&&(r.type===n.type?(r.update(s),l=!0):r.dispose()),!l&&n._module&&(t[n.uid]=n._module.plot(this,s))}var u=Object.keys(t);e:for(i=0;i<u.length;i++){var c=u[i];for(a=0;a<e.length;a++)if(n=e[a][0].trace,c===n.uid)continue e;r=t[c],r.dispose(),delete t[c]}};Hh.updateLayout=function(e){var t=this.map,r=e[this.id];!this.dragging&&!this.wheeling&&(t.setCenter(HJ(r.center)),t.setZoom(r.zoom),t.setBearing(r.bearing),t.setPitch(r.pitch)),this.updateLayers(e),this.updateFramework(e),this.updateFx(e),this.map.resize(),this.gd._context._scrollZoom.map?t.scrollZoom.enable():t.scrollZoom.disable()};Hh.resolveOnRender=function(e){var t=this.map;t.on(\"render\",function r(){t.loaded()&&(t.off(\"render\",r),setTimeout(e,10))})};Hh.rejectOnError=function(e){var t=this.map;function r(){e(new Error(_w.mapOnErrorMsg))}t.once(\"error\",r),t.once(\"style.error\",r),t.once(\"source.error\",r),t.once(\"tile.error\",r),t.once(\"layer.error\",r)};Hh.createFramework=function(e){var t=this,r=t.div=document.createElement(\"div\");r.id=t.uid,r.style.position=\"absolute\",t.container.appendChild(r),t.xaxis={_id:\"x\",c2p:function(n){return t.project(n).x}},t.yaxis={_id:\"y\",c2p:function(n){return t.project(n).y}},t.updateFramework(e),t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},fZt.setConvert(t.mockAxis,e)};Hh.initFx=function(e,t){var r=this,n=r.gd,i=r.map;i.on(\"moveend\",function(s){if(r.map){var l=n._fullLayout;if(s.originalEvent||r.wheeling){var u=l[r.id];kje.call(\"_storeDirectGUIEdit\",n.layout,l._preGUI,r.getViewEdits(u));var c=r.getView();u._input.center=u.center=c.center,u._input.zoom=u.zoom=c.zoom,u._input.bearing=u.bearing=c.bearing,u._input.pitch=u.pitch=c.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(c))}s.originalEvent&&s.originalEvent.type===\"mouseup\"?r.dragging=!1:r.wheeling&&(r.wheeling=!1),l&&l._rehover&&l._rehover()}}),i.on(\"wheel\",function(){r.wheeling=!0}),i.on(\"mousemove\",function(s){var l=r.div.getBoundingClientRect(),u=[s.originalEvent.offsetX,s.originalEvent.offsetY];s.target.getBoundingClientRect=function(){return l},r.xaxis.p2c=function(){return i.unproject(u).lng},r.yaxis.p2c=function(){return i.unproject(u).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&_7.hover(n,s,r.id)},_7.hover(n,s,r.id),n._fullLayout._hoversubplot=r.id});function a(){_7.loneUnhover(t._hoverlayer)}i.on(\"dragstart\",function(){r.dragging=!0,a()}),i.on(\"zoomstart\",a),i.on(\"mouseout\",function(){n._fullLayout._hoversubplot=null});function o(){var s=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(s))}i.on(\"drag\",o),i.on(\"zoom\",o),i.on(\"dblclick\",function(){var s=n._fullLayout[r.id];kje.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(s));var l=r.viewInitial;i.setCenter(HJ(l.center)),i.setZoom(l.zoom),i.setBearing(l.bearing),i.setPitch(l.pitch);var u=r.getView();s._input.center=s.center=u.center,s._input.zoom=s.zoom=u.zoom,s._input.bearing=s.bearing=u.bearing,s._input.pitch=s.pitch=u.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(u))}),r.clearOutline=function(){mZt(r.dragOptions),gZt(r.dragOptions.gd)},r.onClickInPanFn=function(s){return function(l){var u=n._fullLayout.clickmode;u.indexOf(\"select\")>-1&&yZt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&_7.click(n,l.originalEvent)}}};Hh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=GJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),vZt(a)||dZt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){pZt(l,u,c,t.dragOptions,a)},hZt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Hh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Hh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i<n.length;i++)n[i].dispose();for(n=this.layerList=[],i=0;i<r.length;i++)n.push(_Zt(this,i,r[i]))}else for(i=0;i<r.length;i++)n[i].update(r[i])};Hh.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))};Hh.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()};Hh.setOptions=function(e,t,r){for(var n in r)this.map[t](e,n,r[n])};Hh.getMapLayers=function(){return this.map.getStyle().layers};Hh.addLayer=function(e,t){var r=this.map;if(typeof t==\"string\"){if(t===\"\"){r.addLayer(e,t);return}for(var n=this.getMapLayers(),i=0;i<n.length;i++)if(t===n[i].id){r.addLayer(e,t);return}GJ.warn([\"Trying to add layer with *below* value\",t,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(e)};Hh.project=function(e){return this.map.project(new VJ.LngLat(e[0],e[1]))};Hh.getView=function(){var e=this.map,t=e.getCenter(),r=t.lng,n=t.lat,i={lon:r,lat:n},a=e.getCanvas(),o=parseInt(a.style.width),s=parseInt(a.style.height);return{center:i,zoom:e.getZoom(),bearing:e.getBearing(),pitch:e.getPitch(),_derived:{coordinates:[e.unproject([0,0]).toArray(),e.unproject([o,0]).toArray(),e.unproject([o,s]).toArray(),e.unproject([0,s]).toArray()]}}};Hh.getViewEdits=function(e){for(var t=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[t+\".\"+a]=e[a]}return n};Hh.getViewEditsWithDerived=function(e){var t=this.id,r=this.getViewEdits(e);return r[t+\"._derived\"]=e._derived,r};function Rje(e){var t={};return GJ.isPlainObject(e)?(t.id=e.id,t.style=e):typeof e==\"string\"?(t.id=e,_w.stylesMap[e]?t.style=_w.stylesMap[e]:t.style=e):(t.id=_w.styleValueDflt,t.style=xZt(_w.styleValueDflt)),t.transition={duration:0,delay:0},t}function xZt(e){return _w.styleUrlPrefix+e+\"-\"+_w.styleUrlSuffix}function HJ(e){return[e.lon,e.lat]}Dje.exports=Ije});var Oje=ye((g2r,qje)=>{\"use strict\";var jJ=Pr(),bZt=O_(),wZt=Kd(),zje=rC();qje.exports=function(t,r,n){bZt(t,r,n,{type:\"map\",attributes:zje,handleDefaults:TZt,partition:\"y\"})};function TZt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,wZt(e,t,{name:\"layers\",handleItemDefaults:AZt}),t._input=e}function AZt(e,t){function r(l,u){return jJ.coerce(e,t,zje.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",jJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),jJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var b7=ye(u0=>{\"use strict\";var x7=Pr(),Bje=x7.strTranslate,SZt=x7.strScale,MZt=Id().getSubplotCalcData,EZt=Wp(),kZt=Fa(),Nje=So(),CZt=Zl(),LZt=Fje(),Rx=\"map\";u0.name=Rx;u0.attr=\"subplot\";u0.idRoot=Rx;u0.idRegex=u0.attrRegex=x7.counterRegex(Rx);u0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};u0.layoutAttributes=rC();u0.supplyLayoutDefaults=Oje();u0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[Rx],a=0;a<i.length;a++){var o=i[a],s=MZt(n,Rx,o),l=r[o],u=l._subplot;u||(u=new LZt(t,o),r[o]._subplot=u),u.viewInitial||(u.viewInitial={center:x7.extendFlat({},l.center),zoom:l.zoom,bearing:l.bearing,pitch:l.pitch}),u.plot(s,r,t._promises)}};u0.clean=function(e,t,r,n){for(var i=n._subplots[Rx]||[],a=0;a<i.length;a++){var o=i[a];!t[o]&&n[o]._subplot&&n[o]._subplot.destroy()}};u0.toSVG=function(e){for(var t=e._fullLayout,r=t._subplots[Rx],n=t._size,i=0;i<r.length;i++){var a=t[r[i]],o=a.domain,s=a._subplot,l=s.toImage(\"png\"),u=t._glimages.append(\"svg:image\");u.attr({xmlns:EZt.svg,\"xlink:href\":l,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"});var c=kZt.select(a._subplot.div),f=c.select(\".maplibregl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),h=t._glimages.append(\"g\"),d=h.append(\"text\");d.text(f).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":f});var v=Nje.bBox(d.node()),m=n.w*(o.x[1]-o.x[0]);if(v.width>m/2){var b=f.split(\"|\").join(\"<br>\");d.text(b).attr(\"data-unformatted\",b).call(CZt.convertToTspans,e),v=Nje.bBox(d.node())}d.attr(\"transform\",Bje(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var p=1;v.width+6>m&&(p=m/(v.width+6));var k=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",Bje(k[0],k[1])+SZt(p))}};u0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[Rx],n=0;n<r.length;n++){var i=t[r[n]]._subplot;i.updateFx(t)}}});var Vje=ye((y2r,Uje)=>{\"use strict\";Uje.exports={attributes:h7(),supplyDefaults:eje(),colorbar:Qd(),formatLabels:FJ(),calc:TF(),plot:vje(),hoverPoints:m7().hoverPoints,eventData:yje(),selectPoints:xje(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:b7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var Hje=ye((_2r,Gje)=>{\"use strict\";Gje.exports=Vje()});var WJ=ye((x2r,jje)=>{\"use strict\";var b1=l5(),PZt=Tu(),{hovertemplateAttrs:IZt,templatefallbackAttrs:RZt}=Pl(),DZt=Vl(),Dx=Ao().extendFlat;jje.exports=Dx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Dx({},b1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:b1.text,hovertext:b1.hovertext,marker:{line:{color:Dx({},b1.marker.line.color,{editType:\"plot\"}),width:Dx({},b1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Dx({},b1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Dx({},b1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Dx({},b1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:b1.hoverinfo,hovertemplate:IZt({},{keys:[\"properties\"]}),hovertemplatefallback:RZt(),showlegend:Dx({},DZt.showlegend,{dflt:!1})},PZt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var Xje=ye((b2r,Wje)=>{\"use strict\";var oC=Pr(),FZt=td(),zZt=WJ();Wje.exports=function(t,r,n,i){function a(c,f){return oC.coerce(t,r,zZt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!oC.isArrayOrTypedArray(o)||!o.length||!oC.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||oC.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"hovertemplatefallback\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),FZt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),oC.coerceSelectionMarkerOpacity(r,a)}});var XJ=ye((w2r,Kje)=>{\"use strict\";var qZt=Eo(),w1=Pr(),OZt=tc(),BZt=So(),NZt=hx().makeBlank,Zje=ey();function UZt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:NZt()};if(!r)return a;var o=Zje.extractTraceFeature(e);if(!o)return a;var s=OZt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;w1.isArrayOrTypedArray(l.opacity)&&(c=function(k){var M=k.mo;return qZt(M)?+w1.constrain(M,0,1):0});var f;w1.isArrayOrTypedArray(u.color)&&(f=function(k){return k.mlc});var h;w1.isArrayOrTypedArray(u.width)&&(h=function(k){return k.mlw});for(var d=0;d<e.length;d++){var v=e[d],m=v.fOut;if(m){var b=m.properties;b.fc=s(v.z),c&&(b.mo=c(v)),f&&(b.mlc=f(v)),h&&(b.mlw=h(v)),v.ct=b.ct,v._polygons=Zje.feature2polygons(m)}}var p=c?{type:\"identity\",property:\"mo\"}:l.opacity;return w1.extendFlat(n.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":p}),w1.extendFlat(i.paint,{\"line-color\":f?{type:\"identity\",property:\"mlc\"}:u.color,\"line-width\":h?{type:\"identity\",property:\"mlw\"}:u.width,\"line-opacity\":p}),n.layout.visibility=\"visible\",i.layout.visibility=\"visible\",a.geojson={type:\"FeatureCollection\",features:o},Yje(e),a}function Yje(e){var t=e[0].trace,r=t._opts,n;if(t.selectedpoints){for(var i=BZt.makeSelectedPointStyleFns(t),a=0;a<e.length;a++){var o=e[a];o.fOut&&(o.fOut.properties.mo2=i.selectedOpacityFn(o))}n={type:\"identity\",property:\"mo2\"}}else n=w1.isArrayOrTypedArray(t.marker.opacity)?{type:\"identity\",property:\"mo\"}:t.marker.opacity;return w1.extendFlat(r.fill.paint,{\"fill-opacity\":n}),w1.extendFlat(r.line.paint,{\"line-opacity\":n}),r}Kje.exports={convert:UZt,convertOnSelect:Yje}});var tWe=ye((T2r,eWe)=>{\"use strict\";var $je=XJ().convert,VZt=XJ().convertOnSelect,Jje=Ix().traceLayerPrefix;function Qje(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",Jje+t+\"-fill\"],[\"line\",Jje+t+\"-line\"]],this.below=null}var q5=Qje.prototype;q5.update=function(e){this._update($je(e)),e[0].trace._glTrace=this};q5.updateOnSelect=function(e){this._update(VZt(e))};q5._update=function(e){var 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A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightLargeArcRadius+\" 0 0 0 \"+at.circularPathData.rightFullExtent+\" \"+at.circularPathData.verticalRightInnerExtent+\" L\"+at.circularPathData.rightFullExtent+\" \"+(at.circularPathData.targetY-at.circularPathData.rightSmallArcRadius)+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightSmallArcRadius+\" 0 0 0 \"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.targetY+\" L\"+at.circularPathData.targetX+\" \"+at.circularPathData.targetY:ct=\"M\"+at.circularPathData.sourceX+\" \"+at.circularPathData.sourceY+\" L\"+at.circularPathData.leftInnerExtent+\" \"+at.circularPathData.sourceY+\" A\"+at.circularPathData.leftLargeArcRadius+\" \"+at.circularPathData.leftSmallArcRadius+\" 0 0 1 \"+at.circularPathData.leftFullExtent+\" \"+(at.circularPathData.sourceY+at.circularPathData.leftSmallArcRadius)+\" L\"+at.circularPathData.leftFullExtent+\" \"+at.circularPathData.verticalLeftInnerExtent+\" A\"+at.circularPathData.leftLargeArcRadius+\" \"+at.circularPathData.leftLargeArcRadius+\" 0 0 1 \"+at.circularPathData.leftInnerExtent+\" \"+at.circularPathData.verticalFullExtent+\" L\"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.verticalFullExtent+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightLargeArcRadius+\" 0 0 1 \"+at.circularPathData.rightFullExtent+\" \"+at.circularPathData.verticalRightInnerExtent+\" L\"+at.circularPathData.rightFullExtent+\" \"+(at.circularPathData.targetY+at.circularPathData.rightSmallArcRadius)+\" A\"+at.circularPathData.rightLargeArcRadius+\" \"+at.circularPathData.rightSmallArcRadius+\" 0 0 1 \"+at.circularPathData.rightInnerExtent+\" \"+at.circularPathData.targetY+\" L\"+at.circularPathData.targetX+\" \"+at.circularPathData.targetY,ct}function ae(at,ct){return ie(at)==ie(ct)?at.circularLinkType==\"bottom\"?Ee(at,ct):_e(at,ct):ie(ct)-ie(at)}function _e(at,ct){return at.y0-ct.y0}function Ee(at,ct){return ct.y0-at.y0}function Ce(at,ct){return at.y1-ct.y1}function ge(at,ct){return ct.y1-at.y1}function ie(at){return at.target.column-at.source.column}function Se(at){return at.target.x0-at.source.x1}function ke(at,ct){var ar=V(at),Vt=Se(ct)/Math.tan(ar),rr=lt(at)==\"up\"?at.y1+Vt:at.y1-Vt;return rr}function be(at,ct){var ar=V(at),Vt=Se(ct)/Math.tan(ar),rr=lt(at)==\"up\"?at.y1-Vt:at.y1+Vt;return rr}function Be(at,ct,ar,Vt){at.links.forEach(function(rr){if(!rr.circular&&rr.target.column-rr.source.column>1){var tt=rr.source.column+1,je=rr.target.column-1,Ue=1,Ae=je-tt+1;for(Ue=1;tt<=je;tt++,Ue++)at.nodes.forEach(function(rt){if(rt.column==tt){var St=Ue/(Ae+1),Tt=Math.pow(1-St,3),dt=3*St*Math.pow(1-St,2),Et=3*Math.pow(St,2)*(1-St),pt=Math.pow(St,3),jt=Tt*rr.y0+dt*rr.y0+Et*rr.y1+pt*rr.y1,or=jt-rr.width/2,mr=jt+rr.width/2,Ar;or>rt.y0&&or<rt.y1?(Ar=rt.y1-or+10,Ar=rt.circularLinkType==\"bottom\"?Ar:-Ar,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||Le(rt,ei)&&me(ei,Ar,ct,ar)})):mr>rt.y0&&mr<rt.y1?(Ar=mr-rt.y0+10,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||ei.y0<rt.y1&&ei.y1>rt.y1&&me(ei,Ar,ct,ar)})):or<rt.y0&&mr>rt.y1&&(Ar=mr-rt.y0+10,rt=me(rt,Ar,ct,ar),at.nodes.forEach(function(ei){C(ei,Vt)==C(rt,Vt)||ei.column!=rt.column||ei.y0<rt.y1&&ei.y1>rt.y1&&me(ei,Ar,ct,ar)}))}})}})}function Le(at,ct){return at.y0>ct.y0&&at.y0<ct.y1||at.y1>ct.y0&&at.y1<ct.y1?!0:at.y0<ct.y0&&at.y1>ct.y1}function me(at,ct,ar,Vt){return at.y0+ct>=ar&&at.y1+ct<=Vt&&(at.y0=at.y0+ct,at.y1=at.y1+ct,at.targetLinks.forEach(function(rr){rr.y1=rr.y1+ct}),at.sourceLinks.forEach(function(rr){rr.y0=rr.y0+ct})),at}function Pe(at,ct,ar,Vt){at.nodes.forEach(function(rr){Vt&&rr.y+(rr.y1-rr.y0)>ct&&(rr.y=rr.y-(rr.y+(rr.y1-rr.y0)-ct));var tt=at.links.filter(function(Ae){return C(Ae.source,ar)==C(rr,ar)}),je=tt.length;je>1&&tt.sort(function(Ae,rt){if(!Ae.circular&&!rt.circular){if(Ae.target.column==rt.target.column)return Ae.y1-rt.y1;if(He(Ae,rt)){if(Ae.target.column>rt.target.column){var St=be(rt,Ae);return Ae.y1-St}if(rt.target.column>Ae.target.column){var Tt=be(Ae,rt);return Tt-rt.y1}}else return Ae.y1-rt.y1}if(Ae.circular&&!rt.circular)return Ae.circularLinkType==\"top\"?-1:1;if(rt.circular&&!Ae.circular)return rt.circularLinkType==\"top\"?1:-1;if(Ae.circular&&rt.circular)return Ae.circularLinkType===rt.circularLinkType&&Ae.circularLinkType==\"top\"?Ae.target.column===rt.target.column?Ae.target.y1-rt.target.y1:rt.target.column-Ae.target.column:Ae.circularLinkType===rt.circularLinkType&&Ae.circularLinkType==\"bottom\"?Ae.target.column===rt.target.column?rt.target.y1-Ae.target.y1:Ae.target.column-rt.target.column:Ae.circularLinkType==\"top\"?-1:1});var Ue=rr.y0;tt.forEach(function(Ae){Ae.y0=Ue+Ae.width/2,Ue=Ue+Ae.width}),tt.forEach(function(Ae,rt){if(Ae.circularLinkType==\"bottom\"){var St=rt+1,Tt=0;for(St;St<je;St++)Tt=Tt+tt[St].width;Ae.y0=rr.y1-Tt-Ae.width/2}})})}function ce(at,ct,ar){at.nodes.forEach(function(Vt){var rr=at.links.filter(function(Ue){return C(Ue.target,ar)==C(Vt,ar)}),tt=rr.length;tt>1&&rr.sort(function(Ue,Ae){if(!Ue.circular&&!Ae.circular){if(Ue.source.column==Ae.source.column)return Ue.y0-Ae.y0;if(He(Ue,Ae)){if(Ae.source.column<Ue.source.column){var rt=ke(Ae,Ue);return Ue.y0-rt}if(Ue.source.column<Ae.source.column){var St=ke(Ue,Ae);return St-Ae.y0}}else return Ue.y0-Ae.y0}if(Ue.circular&&!Ae.circular)return Ue.circularLinkType==\"top\"?-1:1;if(Ae.circular&&!Ue.circular)return Ae.circularLinkType==\"top\"?1:-1;if(Ue.circular&&Ae.circular)return Ue.circularLinkType===Ae.circularLinkType&&Ue.circularLinkType==\"top\"?Ue.source.column===Ae.source.column?Ue.source.y1-Ae.source.y1:Ue.source.column-Ae.source.column:Ue.circularLinkType===Ae.circularLinkType&&Ue.circularLinkType==\"bottom\"?Ue.source.column===Ae.source.column?Ue.source.y1-Ae.source.y1:Ae.source.column-Ue.source.column:Ue.circularLinkType==\"top\"?-1:1});var je=Vt.y0;rr.forEach(function(Ue){Ue.y1=je+Ue.width/2,je=je+Ue.width}),rr.forEach(function(Ue,Ae){if(Ue.circularLinkType==\"bottom\"){var rt=Ae+1,St=0;for(rt;rt<tt;rt++)St=St+rr[rt].width;Ue.y1=Vt.y1-St-Ue.width/2}})})}function He(at,ct){return lt(at)==lt(ct)}function lt(at){return at.y0-at.y1>0?\"up\":\"down\"}function mt(at,ct){return C(at.source,ct)==C(at.target,ct)}function Ht(at,ct,ar){var Vt=at.nodes,rr=at.links,tt=!1,je=!1;if(rr.forEach(function(dt){dt.circularLinkType==\"top\"?tt=!0:dt.circularLinkType==\"bottom\"&&(je=!0)}),tt==!1||je==!1){var Ue=t.min(Vt,function(dt){return dt.y0}),Ae=t.max(Vt,function(dt){return dt.y1}),rt=Ae-Ue,St=ar-ct,Tt=St/rt;Vt.forEach(function(dt){var Et=(dt.y1-dt.y0)*Tt;dt.y0=(dt.y0-Ue)*Tt,dt.y1=dt.y0+Et}),rr.forEach(function(dt){dt.y0=(dt.y0-Ue)*Tt,dt.y1=(dt.y1-Ue)*Tt,dt.width=dt.width*Tt})}}e.sankeyCircular=E,e.sankeyCenter=u,e.sankeyLeft=o,e.sankeyRight=s,e.sankeyJustify=l,Object.defineProperty(e,\"__esModule\",{value:!0})}))});var i$=ye((U2r,uXe)=>{\"use strict\";uXe.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}});var wXe=ye((V2r,bXe)=>{\"use strict\";var cXe=QWe(),xYt=(W2(),gb(j2)).interpolateNumber,N5=Fa(),lC=nXe(),bYt=lXe(),Nu=i$(),U5=fd(),xw=ka(),wYt=So(),T1=Pr(),o$=T1.strTranslate,TYt=T1.strRotate,s$=ay(),uC=s$.keyFun,F7=s$.repeat,gXe=s$.unwrap,fXe=Zl(),AYt=Oa(),mXe=Dh(),SYt=mXe.CAP_SHIFT,MYt=mXe.LINE_SPACING,EYt=3;function kYt(e,t,r){var n=gXe(t),i=n.trace,a=i.domain,o=i.orientation===\"h\",s=i.node.pad,l=i.node.thickness,u={justify:lC.sankeyJustify,left:lC.sankeyLeft,right:lC.sankeyRight,center:lC.sankeyCenter}[i.node.align],c=e.width*(a.x[1]-a.x[0]),f=e.height*(a.y[1]-a.y[0]),h=n._nodes,d=n._links,v=n.circular,m;v?m=bYt.sankeyCircular().circularLinkGap(0):m=lC.sankey(),m.iterations(Nu.sankeyIterations).size(o?[c,f]:[f,c]).nodeWidth(l).nodePadding(s).nodeId(function(V){return V.pointNumber}).nodeAlign(u).nodes(h).links(d);var b=m();m.nodePadding()<s&&T1.warn(\"node.pad was reduced to \",m.nodePadding(),\" to fit within the figure.\");var p,k,M;for(var T in n._groupLookup){var L=parseInt(n._groupLookup[T]),x;for(p=0;p<b.nodes.length;p++)if(b.nodes[p].pointNumber===L){x=b.nodes[p];break}if(x){var C={pointNumber:parseInt(T),x0:x.x0,x1:x.x1,y0:x.y0,y1:x.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};b.nodes.unshift(C),x.childrenNodes.unshift(C)}}function S(){for(p=0;p<b.nodes.length;p++){var V=b.nodes[p],G={},Z,j;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],Z=j.source.pointNumber+\":\"+j.target.pointNumber,G.hasOwnProperty(Z)||(G[Z]=[]),G[Z].push(j);var N=Object.keys(G);for(k=0;k<N.length;k++){Z=N[k];var H=G[Z],re=0,ae={};for(M=0;M<H.length;M++)j=H[M],ae[j.label]||(ae[j.label]=0),ae[j.label]+=j.value,re+=j.value;for(M=0;M<H.length;M++)j=H[M],j.flow={value:re,labelConcentration:ae[j.label]/re,concentration:j.value/re,links:H},j.concentrationscale&&(j.color=U5(j.concentrationscale(j.flow.labelConcentration)))}var _e=0;for(k=0;k<V.sourceLinks.length;k++)_e+=V.sourceLinks[k].value;for(k=0;k<V.sourceLinks.length;k++)j=V.sourceLinks[k],j.concentrationOut=j.value/_e;var Ee=0;for(k=0;k<V.targetLinks.length;k++)Ee+=V.targetLinks[k].value;for(k=0;k<V.targetLinks.length;k++)j=V.targetLinks[k],j.concenrationIn=j.value/Ee}}S();function g(V){V.forEach(function(G){var Z,j,N=0,H=G.length,re;for(G.sort(function(ae,_e){return ae.y0-_e.y0}),re=0;re<H;++re)Z=G[re],Z.y0>=N||(j=N-Z.y0,j>1e-6&&(Z.y0+=j,Z.y1+=j)),N=Z.y1+s})}function P(V){var G=V.map(function(_e,Ee){return{x0:_e.x0,index:Ee}}).sort(function(_e,Ee){return _e.x0-Ee.x0}),Z=[],j=-1,N,H=-1/0,re;for(p=0;p<G.length;p++){var ae=V[G[p].index];ae.x0>H+l&&(j+=1,N=ae.x0),H=ae.x0,Z[j]||(Z[j]=[]),Z[j].push(ae),re=N-ae.x0,ae.x0+=re,ae.x1+=re}return Z}if(i.node.x.length&&i.node.y.length){for(p=0;p<Math.min(i.node.x.length,i.node.y.length,b.nodes.length);p++)if(i.node.x[p]&&i.node.y[p]){var E=[i.node.x[p]*c,i.node.y[p]*f];b.nodes[p].x0=E[0]-l/2,b.nodes[p].x1=E[0]+l/2;var z=b.nodes[p].y1-b.nodes[p].y0;b.nodes[p].y0=E[1]-z/2,b.nodes[p].y1=E[1]+z/2}if(i.arrangement===\"snap\"){h=b.nodes;var q=P(h);g(q)}m.update(b)}return{circular:v,key:r,trace:i,guid:T1.randstr(),horizontal:o,width:c,height:f,nodePad:i.node.pad,nodeLineColor:i.node.line.color,nodeLineWidth:i.node.line.width,linkLineColor:i.link.line.color,linkLineWidth:i.link.line.width,linkArrowLength:i.link.arrowlen,valueFormat:i.valueformat,valueSuffix:i.valuesuffix,textFont:i.textfont,translateX:a.x[0]*e.width+e.margin.l,translateY:e.height-a.y[1]*e.height+e.margin.t,dragParallel:o?f:c,dragPerpendicular:o?c:f,arrangement:i.arrangement,sankey:m,graph:b,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function CYt(e,t,r){var n=U5(t.color),i=U5(t.hovercolor),a=t.source.label+\"|\"+t.target.label,o=a+\"__\"+r;return t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:o,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:xw.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:xw.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:l$,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function LYt(e,t){var r=\"\",n=e.width/2,i=e.circularPathData,a=i.sourceX+i.verticalBuffer<i.targetX,o=i.rightFullExtent-i.rightLargeArcRadius-t<=i.leftFullExtent-n,s=Math.abs(i.rightFullExtent-i.leftFullExtent-n)<n;return e.circularLinkType===\"top\"?(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY+n)+\"A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\"L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" L \"+(i.rightFullExtent+n-(i.rightLargeArcRadius-n)-t)+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius+n))+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent-n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalRightInnerExtent-(i.rightLargeArcRadius-n))+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 1 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY-i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent-n)+\" \"+(i.verticalFullExtent+n)+\"L\"+(i.rightFullExtent+n-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent-n-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L \"+(i.rightFullExtent+n-t)+\" \"+(i.targetY-i.rightSmallArcRadius)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" L \"+(i.targetX-t)+\" \"+(i.targetY-n)+(t>0?\" L \"+i.targetX+\" \"+i.targetY:\"\")+\"Z\"):(r=\"M \"+(i.targetX-t)+\" \"+(i.targetY-n)+\"  L \"+(i.rightInnerExtent-t)+\" \"+(i.targetY-n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightSmallArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent-n-t)+\" \"+(i.targetY+i.rightSmallArcRadius)+\" L \"+(i.rightFullExtent-n-t)+\" \"+i.verticalRightInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-n-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent+n-t-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent-t-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.leftFullExtent+n+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent:r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent+n)+\" L \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+i.verticalLeftInnerExtent,r+=\" L \"+(i.leftFullExtent+n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" A \"+(i.leftLargeArcRadius+n)+\" \"+(i.leftSmallArcRadius+n)+\" 0 0 0 \"+i.leftInnerExtent+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY-n)+\" L \"+i.sourceX+\" \"+(i.sourceY+n)+\" L \"+i.leftInnerExtent+\" \"+(i.sourceY+n)+\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n)+\" \"+(i.sourceY+i.leftSmallArcRadius)+\" L \"+(i.leftFullExtent-n)+\" \"+i.verticalLeftInnerExtent,a&&o?r+=\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.leftFullExtent-n-(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightFullExtent+n-t+(i.rightLargeArcRadius-n))+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightSmallArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:a?r+=\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.leftFullExtent+n)+\" \"+(i.verticalFullExtent+n)+\" L \"+(i.rightFullExtent-t-n)+\" \"+(i.verticalFullExtent+n)+\" A \"+(i.rightLargeArcRadius+n)+\" \"+(i.rightLargeArcRadius+n)+\" 0 0 0 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent:r+=\" A \"+(i.leftLargeArcRadius-n)+\" \"+(i.leftLargeArcRadius-n)+\" 0 0 1 \"+i.leftInnerExtent+\" \"+(i.verticalFullExtent-n)+\" L \"+(i.rightInnerExtent-t)+\" \"+(i.verticalFullExtent-n)+\" A \"+(i.rightLargeArcRadius-n)+\" \"+(i.rightLargeArcRadius-n)+\" 0 0 1 \"+(i.rightFullExtent+n-t)+\" \"+i.verticalRightInnerExtent,r+=\" L 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IXe=ye(bw=>{\"use strict\";var VYt=mc().overrideAll,GYt=Id().getModuleCalcData,HYt=f$(),jYt=X1(),WYt=Eg(),XYt=yv(),ZYt=qf().prepSelect,h$=Pr(),YYt=Oa(),q7=\"sankey\";bw.name=q7;bw.baseLayoutAttrOverrides=VYt({hoverlabel:jYt.hoverlabel},\"plot\",\"nested\");bw.plot=function(e){var t=GYt(e.calcdata,q7)[0];HYt(e,t),bw.updateFx(e)};bw.clean=function(e,t,r,n){var i=n._has&&n._has(q7),a=t._has&&t._has(q7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};bw.updateFx=function(e){for(var t=0;t<e._fullData.length;t++)KYt(e,t)};function KYt(e,t){var r=e._fullData[t],n=e._fullLayout,i=n.dragmode,a=n.dragmode===\"pan\"?\"move\":\"crosshair\",o=r._bgRect;if(o&&!(i===\"pan\"||i===\"zoom\")){WYt(o,a);var s={_id:\"x\",c2p:h$.identity,_offset:r._sankey.translateX,_length:r._sankey.width},l={_id:\"y\",c2p:h$.identity,_offset:r._sankey.translateY,_length:r._sankey.height},u={gd:e,element:o.node(),plotinfo:{id:t,xaxis:s,yaxis:l,fillRangeItems:h$.noop},subplot:t,xaxes:[s],yaxes:[l],doneFnCompleted:function(c){var f=e._fullData[t],h,d=f.node.groups.slice(),v=[];function m(M){for(var T=f._sankey.graph.nodes,L=0;L<T.length;L++)if(T[L].pointNumber===M)return T[L]}for(var b=0;b<c.length;b++){var p=m(c[b].pointNumber);if(p)if(p.group){for(var k=0;k<p.childrenNodes.length;k++)v.push(p.childrenNodes[k].pointNumber);d[p.pointNumber-f.node._count]=!1}else v.push(p.pointNumber)}h=d.filter(Boolean).concat([v]),YYt.call(\"_guiRestyle\",e,{\"node.groups\":[h]},t)}};u.prepFn=function(c,f,h){ZYt(c,f,h,u,i)},XYt.init(u)}}});var DXe=ye((j2r,RXe)=>{\"use strict\";RXe.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s<o.length;s++){var l=o[s];if(!l.partOfGroup){var 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zx=Ao().extendFlat,VXe=Ao().extendDeep,JYt=mc().overrideAll,GXe=ec(),HXe=Ih(),$Yt=Cc().attributes,Nf=Rd(),QYt=vl().templatedArray,O7=tA(),UXe=vf().descriptionOnlyNumbers,d$=GXe({editType:\"plot\",colorEditType:\"plot\"}),fC={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:HXe.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},jXe={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},eKt=QYt(\"step\",VXe({},fC,{range:jXe}));WXe.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:$Yt({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:zx({},d$,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:UXe(\"value\")},font:zx({},d$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\",description:UXe(\"value\")},increasing:{symbol:{valType:\"string\",dflt:O7.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:O7.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:O7.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:O7.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:zx({},d$,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:VXe({},fC,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:HXe.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:JYt({range:jXe,visible:zx({},Nf.visible,{dflt:!0}),tickmode:Nf.minor.tickmode,nticks:Nf.nticks,tick0:Nf.tick0,dtick:Nf.dtick,tickvals:Nf.tickvals,ticktext:Nf.ticktext,ticks:zx({},Nf.ticks,{dflt:\"outside\"}),ticklen:Nf.ticklen,tickwidth:Nf.tickwidth,tickcolor:Nf.tickcolor,ticklabelstep:Nf.ticklabelstep,showticklabels:Nf.showticklabels,labelalias:Nf.labelalias,tickfont:GXe({}),tickangle:Nf.tickangle,tickformat:Nf.tickformat,tickformatstops:Nf.tickformatstops,tickprefix:Nf.tickprefix,showtickprefix:Nf.showtickprefix,ticksuffix:Nf.ticksuffix,showticksuffix:Nf.showticksuffix,separatethousands:Nf.separatethousands,exponentformat:Nf.exponentformat,minexponent:Nf.minexponent,showexponent:Nf.showexponent,editType:\"plot\"},\"plot\"),steps:eKt,threshold:{line:{color:zx({},fC.line.color,{}),width:zx({},fC.line.width,{dflt:1}),editType:\"plot\"},thickness:zx({},fC.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}});var p$=ye((K2r,XXe)=>{\"use strict\";XXe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var KXe=ye((J2r,YXe)=>{\"use strict\";var uy=Pr(),N7=v$(),tKt=Cc().defaults,ZXe=vl(),rKt=Kd(),B7=p$(),iKt=Pb(),nKt=B3(),aKt=l_(),oKt=u_();function sKt(e,t,r,n){function i(x,C){return uy.coerce(e,t,N7,x,C)}tKt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=uy.extendFlat({},n.font);l.size=void 0,uy.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=B7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=uy.extendFlat({},n.font);c.size=void 0,uy.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||B7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=uy.extendFlat({},n.font);f.size=.25*(s||u||B7.defaultNumberFontSize),uy.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,m;function b(x,C){return uy.coerce(h,d,N7.gauge,x,C)}function p(x,C){return uy.coerce(v,m,N7.gauge.axis,x,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=ZXe.newContainer(t,\"gauge\"),b(\"shape\");var k=t._isBullet=t.gauge.shape===\"bullet\";k||i(\"title.align\",\"center\");var M=t._isAngular=t.gauge.shape===\"angular\";M||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var T=B7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",T),rKt(h,d,{name:\"steps\",handleItemDefaults:lKt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),m=ZXe.newContainer(d,\"axis\"),p(\"visible\"),t._range=p(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};iKt(v,m,p,\"linear\"),oKt(v,m,p,\"linear\",L),aKt(v,m,p,\"linear\",L),nKt(v,m,p,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function lKt(e,t){function r(n,i){return uy.coerce(e,t,N7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}YXe.exports={supplyDefaults:sKt}});var $Xe=ye(($2r,JXe)=>{\"use strict\";function uKt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}JXe.exports={calc:uKt}});var nZe=ye((Q2r,iZe)=>{\"use strict\";var Mw=Fa(),cKt=(W2(),gb(j2)).interpolate,QXe=(W2(),gb(j2)).interpolateNumber,qx=Pr(),fKt=qx.strScale,dC=qx.strTranslate,hKt=qx.rad2deg,dKt=Dh().MID_SHIFT,Sw=So(),ww=p$(),V7=Zl(),lv=ho(),vKt=v4(),pKt=gI(),gKt=Rd(),j5=ka(),g$={left:\"start\",center:\"middle\",right:\"end\"},Tw={left:0,center:.5,right:1},eZe=/[yzafpn\u00b5mkMGTPEZY]/;function vC(e){return e&&e.duration>0}iZe.exports=function(t,r,n,i){var a=t._fullLayout,o;vC(n)&&i&&(o=i()),qx.makeTraceGroups(a._indicatorlayer,r,\"trace\").each(function(s){var l=s[0],u=l.trace,c=Mw.select(this),f=u._hasGauge,h=u._isAngular,d=u._isBullet,v=u.domain,m={w:a._size.w*(v.x[1]-v.x[0]),h:a._size.h*(v.y[1]-v.y[0]),l:a._size.l+a._size.w*v.x[0],r:a._size.r+a._size.w*(1-v.x[1]),t:a._size.t+a._size.h*(1-v.y[1]),b:a._size.b+a._size.h*v.y[0]},b=m.l+m.w/2,p=m.t+m.h/2,k=Math.min(m.w/2,m.h),M=ww.innerRadius*k,T,L,x,C=u.align||\"center\";if(L=p,!f)T=m.l+Tw[C]*m.w,x=function(j){return tZe(j,m.w,m.h)};else if(h&&(T=b,L=p+k/2,x=function(j){return bKt(j,.9*M)}),d){var S=ww.bulletPadding,g=1-ww.bulletNumberDomainSize+S;T=m.l+(g+(1-g)*Tw[C])*m.w,x=function(j){return tZe(j,(ww.bulletNumberDomainSize-S)*m.w,m.h)}}_Kt(t,c,s,{numbersX:T,numbersY:L,numbersScaler:x,transitionOpts:n,onComplete:o});var P,E;f&&(P={range:u.gauge.axis.range,color:u.gauge.bgcolor,line:{color:u.gauge.bordercolor,width:0},thickness:1},E={range:u.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:u.gauge.bordercolor,width:u.gauge.borderwidth},thickness:1});var z=c.selectAll(\"g.angular\").data(h?s:[]);z.exit().remove();var q=c.selectAll(\"g.angularaxis\").data(h?s:[]);q.exit().remove(),h&&yKt(t,c,s,{radius:k,innerRadius:M,gauge:z,layer:q,size:m,gaugeBg:P,gaugeOutline:E,transitionOpts:n,onComplete:o});var V=c.selectAll(\"g.bullet\").data(d?s:[]);V.exit().remove();var G=c.selectAll(\"g.bulletaxis\").data(d?s:[]);G.exit().remove(),d&&mKt(t,c,s,{gauge:V,layer:G,size:m,gaugeBg:P,gaugeOutline:E,transitionOpts:n,onComplete:o});var Z=c.selectAll(\"text.title\").data(s);Z.exit().remove(),Z.enter().append(\"text\").classed(\"title\",!0),Z.attr(\"text-anchor\",function(){return d?g$.right:g$[u.title.align]}).text(u.title.text).call(Sw.font,u.title.font).call(V7.convertToTspans,t),Z.attr(\"transform\",function(){var j=m.l+m.w*Tw[u.title.align],N,H=ww.titlePadding,re=Sw.bBox(Z.node());if(f){if(h)if(u.gauge.axis.visible){var ae=Sw.bBox(q.node());N=ae.top-H-re.bottom}else N=m.t+m.h/2-k/2-re.bottom-H;d&&(N=L-(re.top+re.bottom)/2,j=m.l-ww.bulletPadding*m.w)}else N=u._numbersTop-H-re.bottom;return dC(j,N)})})};function mKt(e,t,r,n){var i=r[0].trace,a=n.gauge,o=n.layer,s=n.gaugeBg,l=n.gaugeOutline,u=n.size,c=i.domain,f=n.transitionOpts,h=n.onComplete,d,v,m,b,p;a.enter().append(\"g\").classed(\"bullet\",!0),a.attr(\"transform\",dC(u.l,u.t)),o.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),o.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=u.h,M=i.gauge.bar.thickness*k,T=c.x[0],L=c.x[0]+(c.x[1]-c.x[0])*(i._hasNumber||i._hasDelta?1-ww.bulletNumberDomainSize:1);d=hC(e,i.gauge.axis),d._id=\"xbulletaxis\",d.domain=[T,L],d.setScale(),v=lv.calcTicks(d),m=lv.makeTransTickFn(d),b=lv.getTickSigns(d)[2],p=u.t+u.h,d.visible&&(lv.drawTicks(e,d,{vals:d.ticks===\"inside\"?lv.clipEnds(d,v):v,layer:o,path:lv.makeTickPath(d,p,b),transFn:m}),lv.drawLabels(e,d,{vals:v,layer:o,transFn:m,labelFns:lv.makeLabelFns(d,p)}));function x(q){q.attr(\"width\",function(V){return Math.max(0,d.c2p(V.range[1])-d.c2p(V.range[0]))}).attr(\"x\",function(V){return d.c2p(V.range[0])}).attr(\"y\",function(V){return .5*(1-V.thickness)*k}).attr(\"height\",function(V){return V.thickness*k})}var C=[s].concat(i.gauge.steps),S=a.selectAll(\"g.bg-bullet\").data(C);S.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),S.select(\"rect\").call(x).call(Aw),S.exit().remove();var g=a.selectAll(\"g.value-bullet\").data([i.gauge.bar]);g.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),g.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(Aw),vC(f)?g.select(\"rect\").transition().duration(f.duration).ease(f.easing).each(\"end\",function(){h&&h()}).each(\"interrupt\",function(){h&&h()}).attr(\"width\",Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y)))):g.select(\"rect\").attr(\"width\",typeof r[0].y==\"number\"?Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y))):0),g.exit().remove();var 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f=eS(e,Q5([t,0])),h=f[0],d=f[1];return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(0<r?0:1)+\" \"+h+\",\"+d,\"A\"+i+\",\"+i+\" 0 0,\"+(n<0?0:1)+u+\",\"+c].join(\" \")}return[\"M\"+o+\",\"+s,\"A\"+i+\",\"+i+\" 0 0,\"+(n<r?0:1)+\" \"+u+\",\"+c].join(\" \")}QJe.exports={smith:Q5,reactanceArc:yQt,resistanceArc:_Qt,smithTransform:eS}});var aQ=ye((b3r,l$e)=>{\"use strict\";var Cw=Fa(),xQt=fd(),Pw=Oa(),Xc=Pr(),fy=Xc.strRotate,xd=Xc.strTranslate,iQ=ka(),bC=So(),bQt=Mc(),pp=ho(),wQt=xm(),TQt=Q$(),AQt=Mg().doAutoRange,M1=YN(),w9=yv(),e$e=ef(),SQt=qb(),MQt=qf().prepSelect,EQt=qf().selectOnClick,nQ=qf().clearOutline,t$e=Eg(),r$e=SM(),i$e=RM().redrawReglTraces,kQt=Dh().MID_SHIFT,Nx=m9(),E1=_9(),T9=rQ(),x9=T9.smith,CQt=T9.reactanceArc,LQt=T9.resistanceArc,b9=T9.smithTransform,PQt=Xc._,n$e=Xc.mod,Ux=Xc.deg2rad,Lw=Xc.rad2deg;function a$e(e,t,r){this.isSmith=r||!1,this.id=t,this.gd=e,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=e._fullLayout,i=\"clip\"+n._uid+t;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",t),this.getHole=function(a){return this.isSmith?0:a.hole},this.getSector=function(a){return this.isSmith?[0,360]:a.sector},this.getRadial=function(a){return this.isSmith?a.realaxis:a.radialaxis},this.getAngular=function(a){return this.isSmith?a.imaginaryaxis:a.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var Nd=a$e.prototype;l$e.exports=function(t,r,n){return new a$e(t,r,n)};Nd.plot=function(e,t){for(var r=this,n=t[r.id],i=!1,a=0;a<e.length;a++){var o=e[a][0].trace;if(o.cliponaxis===!1){i=!0;break}}r._hasClipOnAxisFalse=i,r.updateLayers(t,n),r.updateLayout(t,n),bQt.generalUpdatePerTraceModule(r.gd,r,e,n),r.updateFx(t,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)};Nd.updateLayers=function(e,t){var r=this,n=r.isSmith,i=r.layers,a=r.getRadial(t),o=r.getAngular(t),s=Nx.layerNames,l=s.indexOf(\"frontplot\"),u=s.slice(0,l),c=o.layer===\"below traces\",f=a.layer===\"below traces\";c&&u.push(\"angular-line\"),f&&u.push(\"radial-line\"),c&&u.push(\"angular-axis\"),f&&u.push(\"radial-axis\"),u.push(\"frontplot\"),c||u.push(\"angular-line\"),f||u.push(\"radial-line\"),c||u.push(\"angular-axis\"),f||u.push(\"radial-axis\");var h=(n?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+h).data(u,String);d.enter().append(\"g\").attr(\"class\",function(v){return h+\" \"+v}).each(function(v){var m=i[v]=Cw.select(this);switch(v){case\"frontplot\":n||m.append(\"g\").classed(\"barlayer\",!0),m.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":m.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":i.bg=m.append(\"path\");break;case\"radial-grid\":m.style(\"fill\",\"none\");break;case\"angular-grid\":m.style(\"fill\",\"none\");break;case\"radial-line\":m.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":m.append(\"path\").style(\"fill\",\"none\");break}}),d.order()};Nd.updateLayout=function(e,t){var r=this,n=r.layers,i=e._size,a=r.getRadial(t),o=r.getAngular(t),s=t.domain.x,l=t.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-l[1]);var u=r.xLength=i.w*(s[1]-s[0]),c=r.yLength=i.h*(l[1]-l[0]),f=r.getSector(t);r.sectorInRad=f.map(Ux);var h=r.sectorBBox=IQt(f),d=h[2]-h[0],v=h[3]-h[1],m=c/u,b=Math.abs(v/d),p,k,M,T,L;m>b?(p=u,k=u*b,L=(c-k)/i.h/2,M=[s[0],s[1]],T=[l[0]+L,l[1]-L]):(p=c/b,k=c,L=(u-p)/i.w/2,M=[s[0]+L,s[1]-L],T=[l[0],l[1]]),r.xLength2=p,r.yLength2=k,r.xDomain2=M,r.yDomain2=T;var x=r.xOffset2=i.l+i.w*M[0],C=r.yOffset2=i.t+i.h*(1-T[1]),S=r.radius=p/d,g=r.innerRadius=r.getHole(t)*S,P=r.cx=x-S*h[0],E=r.cy=C+S*h[3],z=r.cxx=P-x,q=r.cyy=E-C,V=a.side,G;V===\"counterclockwise\"?(G=V,V=\"top\"):V===\"clockwise\"&&(G=V,V=\"bottom\"),r.radialAxis=r.mockAxis(e,t,a,{_id:\"x\",side:V,_trueSide:G,domain:[g/i.w,S/i.w]}),r.angularAxis=r.mockAxis(e,t,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(e,t),r.updateAngularAxis(e,t),r.updateRadialAxis(e,t),r.updateRadialAxisTitle(e,t),r.xaxis=r.mockCartesianAxis(e,t,{_id:\"x\",domain:M}),r.yaxis=r.mockCartesianAxis(e,t,{_id:\"y\",domain:T});var Z=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",Z).attr(\"transform\",xd(z,q)),n.frontplot.attr(\"transform\",xd(x,C)).call(bC.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",Z).attr(\"transform\",xd(P,E)).call(iQ.fill,t.bgcolor)};Nd.mockAxis=function(e,t,r,n){var i=Xc.extendFlat({},r,n);return TQt(i,t,e),i};Nd.mockCartesianAxis=function(e,t,r){var n=this,i=n.isSmith,a=r._id,o=Xc.extendFlat({type:\"linear\"},r);wQt(o,e);var s={x:[0,2],y:[1,3]};return o.setRange=function(){var l=n.sectorBBox,u=s[a],c=n.radialAxis._rl,f=(c[1]-c[0])/(1-n.getHole(t));o.range=[l[u[0]]*f,l[u[1]]*f]},o.isPtWithinRange=a===\"x\"&&!i?function(l){return n.isPtInside(l)}:function(){return!0},o.setRange(),o.setScale(),o};Nd.doAutoRange=function(e,t){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(t);AQt(n,i);var o=i.range;if(a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")],i.minallowed!==void 0){var s=i.r2l(i.minallowed);i._rl[0]>i._rl[1]?i._rl[1]=Math.max(i._rl[1],s):i._rl[0]=Math.max(i._rl[0],s)}if(i.maxallowed!==void 0){var l=i.r2l(i.maxallowed);i._rl[0]<i._rl[1]?i._rl[1]=Math.min(i._rl[1],l):i._rl[0]=Math.min(i._rl[0],l)}};Nd.updateRadialAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getRadial(t),c=n$e(r.getSector(t)[0],360),f=r.radialAxis,h=o<a,d=r.isSmith;d||(r.fillViewInitialKey(\"radialaxis.angle\",u.angle),r.fillViewInitialKey(\"radialaxis.range\",f.range.slice()),f.setGeometry()),f.tickangle===\"auto\"&&c>90&&c<=270&&(f.tickangle=180);var v=d?function(S){var g=b9(r,x9([S.x,0]));return xd(g[0]-s,g[1]-l)}:function(S){return xd(f.l2p(S.x)+o,0)},m=d?function(S){return LQt(r,S.x,-1/0,1/0)}:function(S){return r.pathArc(f.r2p(S.x)+o)},b=o$e(u);if(r.radialTickLayout!==b&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=b),h){f.setScale();var p=0,k=d?(f.tickvals||[]).filter(function(S){return S>=0}).map(function(S){return pp.tickText(f,S,!0,!1)}):pp.calcTicks(f),M=d?k:pp.clipEnds(f,k),T=pp.getTickSigns(f)[2];d&&((f.ticks===\"top\"&&f.side===\"bottom\"||f.ticks===\"bottom\"&&f.side===\"top\")&&(T=-T),f.ticks===\"top\"&&f.side===\"top\"&&(p=-f.ticklen),f.ticks===\"bottom\"&&f.side===\"bottom\"&&(p=f.ticklen)),pp.drawTicks(n,f,{vals:k,layer:i[\"radial-axis\"],path:pp.makeTickPath(f,0,T),transFn:v,crisp:!1}),pp.drawGrid(n,f,{vals:M,layer:i[\"radial-grid\"],path:m,transFn:Xc.noop,crisp:!1}),pp.drawLabels(n,f,{vals:k,layer:i[\"radial-axis\"],transFn:v,labelFns:pp.makeLabelFns(f,p)})}var L=r.radialAxisAngle=r.vangles?Lw(s$e(Ux(u.angle),r.vangles)):u.angle,x=xd(s,l),C=x+fy(-L);wC(i[\"radial-axis\"],h&&(u.showticklabels||u.ticks),{transform:C}),wC(i[\"radial-grid\"],h&&u.showgrid,{transform:d?\"\":x}),wC(i[\"radial-line\"].select(\"line\"),h&&u.showline,{x1:d?-a:o,y1:0,x2:a,y2:0,transform:C}).attr(\"stroke-width\",u.linewidth).call(iQ.stroke,u.linecolor)};Nd.updateRadialAxisTitle=function(e,t,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(t),u=n.id+\"title\",c=0;if(l.title){var f=bC.bBox(n.layers[\"radial-axis\"].node()).height,h=l.title.font.size,d=l.side;c=d===\"top\"?h:d===\"counterclockwise\"?-(f+h*.4):f+h*.8}var v=r!==void 0?r:n.radialAxisAngle,m=Ux(v),b=Math.cos(m),p=Math.sin(m),k=o+a/2*b+c*p,M=s-a/2*p+c*b;n.layers[\"radial-axis-title\"]=SQt.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title.text\",placeholder:PQt(i,\"Click to enter radial axis title\"),attributes:{x:k,y:M,\"text-anchor\":\"middle\"},transform:{rotate:-v}})}};Nd.updateAngularAxis=function(e,t){var r=this,n=r.gd,i=r.layers,a=r.radius,o=r.innerRadius,s=r.cx,l=r.cy,u=r.getAngular(t),c=r.angularAxis,f=r.isSmith;f||(r.fillViewInitialKey(\"angularaxis.rotation\",u.rotation),c.setGeometry(),c.setScale());var h=f?function(g){var P=b9(r,x9([0,g.x]));return Math.atan2(P[0]-s,P[1]-l)-Math.PI/2}:function(g){return c.t2g(g.x)};c.type===\"linear\"&&c.thetaunit===\"radians\"&&(c.tick0=Lw(c.tick0),c.dtick=Lw(c.dtick));var d=function(g){return xd(s+a*Math.cos(g),l-a*Math.sin(g))},v=f?function(g){var P=b9(r,x9([0,g.x]));return xd(P[0],P[1])}:function(g){return d(h(g))},m=f?function(g){var P=b9(r,x9([0,g.x])),E=Math.atan2(P[0]-s,P[1]-l)-Math.PI/2;return xd(P[0],P[1])+fy(-Lw(E))}:function(g){var P=h(g);return d(P)+fy(-Lw(P))},b=f?function(g){return CQt(r,g.x,0,1/0)}:function(g){var P=h(g),E=Math.cos(P),z=Math.sin(P);return\"M\"+[s+o*E,l-o*z]+\"L\"+[s+a*E,l-a*z]},p=pp.makeLabelFns(c,0),k=p.labelStandoff,M={};M.xFn=function(g){var P=h(g);return Math.cos(P)*k},M.yFn=function(g){var P=h(g),E=Math.sin(P)>0?.2:1;return-Math.sin(P)*(k+g.fontSize*E)+Math.abs(Math.cos(P))*(g.fontSize*kQt)},M.anchorFn=function(g){var P=h(g),E=Math.cos(P);return Math.abs(E)<.1?\"middle\":E>0?\"start\":\"end\"},M.heightFn=function(g,P,E){var z=h(g);return-.5*(1+Math.sin(z))*E};var T=o$e(u);r.angularTickLayout!==T&&(i[\"angular-axis\"].selectAll(\".\"+c._id+\"tick\").remove(),r.angularTickLayout=T);var L=f?[1/0].concat(c.tickvals||[]).map(function(g){return pp.tickText(c,g,!0,!1)}):pp.calcTicks(c);f&&(L[0].text=\"\\u221E\",L[0].fontSize*=1.75);var x;if(t.gridshape===\"linear\"?(x=L.map(h),Xc.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,c.type===\"category\"&&(L=L.filter(function(g){return Xc.isAngleInsideSector(h(g),r.sectorInRad)})),c.visible){var C=c.ticks===\"inside\"?-1:1,S=(c.linewidth||1)/2;pp.drawTicks(n,c,{vals:L,layer:i[\"angular-axis\"],path:\"M\"+C*S+\",0h\"+C*c.ticklen,transFn:m,crisp:!1}),pp.drawGrid(n,c,{vals:L,layer:i[\"angular-grid\"],path:b,transFn:Xc.noop,crisp:!1}),pp.drawLabels(n,c,{vals:L,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:v,labelFns:M})}wC(i[\"angular-line\"].select(\"path\"),u.showline,{d:r.pathSubplot(),transform:xd(s,l)}).attr(\"stroke-width\",u.linewidth).call(iQ.stroke,u.linecolor)};Nd.updateFx=function(e,t){if(!this.gd._context.staticPlot){var r=!this.isSmith;r&&(this.updateAngularDrag(e),this.updateRadialDrag(e,t,0),this.updateRadialDrag(e,t,1)),this.updateHoverAndMainDrag(e)}};Nd.updateHoverAndMainDrag=function(e){var t=this,r=t.isSmith,n=t.gd,i=t.layers,a=e._zoomlayer,o=Nx.MINZOOM,s=Nx.OFFEDGE,l=t.radius,u=t.innerRadius,c=t.cx,f=t.cy,h=t.cxx,d=t.cyy,v=t.sectorInRad,m=t.vangles,b=t.radialAxis,p=E1.clampTiny,k=E1.findXYatLength,M=E1.findEnclosingVertexAngles,T=Nx.cornerHalfWidth,L=Nx.cornerLen/2,x,C,S=M1.makeDragger(i,\"path\",\"maindrag\",e.dragmode===!1?\"none\":\"crosshair\");Cw.select(S).attr(\"d\",t.pathSubplot()).attr(\"transform\",xd(c,f)),S.onmousemove=function(ce){e$e.hover(n,ce,t.id),n._fullLayout._lasthover=S,n._fullLayout._hoversubplot=t.id},S.onmouseout=function(ce){n._dragging||w9.unhover(n,ce)};var g={element:S,gd:n,subplot:t.id,plotinfo:{id:t.id,xaxis:t.xaxis,yaxis:t.yaxis},xaxes:[t.xaxis],yaxes:[t.yaxis]},P,E,z,q,V,G,Z,j,N;function H(ce,He){return Math.sqrt(ce*ce+He*He)}function re(ce,He){return H(ce-h,He-d)}function ae(ce,He){return Math.atan2(d-He,ce-h)}function _e(ce,He){return[ce*Math.cos(He),ce*Math.sin(-He)]}function Ee(ce,He){if(ce===0)return t.pathSector(2*T);var lt=L/ce,mt=He-lt,Ht=He+lt,at=Math.max(0,Math.min(ce,l)),ct=at-T,ar=at+T;return\"M\"+_e(ct,mt)+\"A\"+[ct,ct]+\" 0,0,0 \"+_e(ct,Ht)+\"L\"+_e(ar,Ht)+\"A\"+[ar,ar]+\" 0,0,1 \"+_e(ar,mt)+\"Z\"}function Ce(ce,He,lt){if(ce===0)return t.pathSector(2*T);var mt=_e(ce,He),Ht=_e(ce,lt),at=p((mt[0]+Ht[0])/2),ct=p((mt[1]+Ht[1])/2),ar,Vt;if(at&&ct){var rr=ct/at,tt=-1/rr,je=k(T,rr,at,ct);ar=k(L,tt,je[0][0],je[0][1]),Vt=k(L,tt,je[1][0],je[1][1])}else{var Ue,Ae;ct?(Ue=L,Ae=T):(Ue=T,Ae=L),ar=[[at-Ue,ct-Ae],[at+Ue,ct-Ae]],Vt=[[at-Ue,ct+Ae],[at+Ue,ct+Ae]]}return\"M\"+ar.join(\"L\")+\"L\"+Vt.reverse().join(\"L\")+\"Z\"}function ge(){z=null,q=null,V=t.pathSubplot(),G=!1;var ce=n._fullLayout[t.id];Z=xQt(ce.bgcolor).getLuminance(),j=M1.makeZoombox(a,Z,c,f,V),j.attr(\"fill-rule\",\"evenodd\"),N=M1.makeCorners(a,c,f),nQ(n)}function ie(ce,He){return He=Math.max(Math.min(He,l),u),ce<s?ce=0:l-ce<s?ce=l:He<s?He=0:l-He<s&&(He=l),Math.abs(He-ce)>o?(ce<He?(z=ce,q=He):(z=He,q=ce),!0):(z=null,q=null,!1)}function Se(ce,He){ce=ce||V,He=He||\"M0,0Z\",j.attr(\"d\",ce),N.attr(\"d\",He),M1.transitionZoombox(j,N,G,Z),G=!0;var lt={};me(lt),n.emit(\"plotly_relayouting\",lt)}function ke(ce,He){ce=ce*x,He=He*C;var lt=P+ce,mt=E+He,Ht=re(P,E),at=Math.min(re(lt,mt),l),ct=ae(P,E),ar,Vt;ie(Ht,at)&&(ar=V+t.pathSector(q),z&&(ar+=t.pathSector(z)),Vt=Ee(z,ct)+Ee(q,ct)),Se(ar,Vt)}function be(ce,He,lt,mt){var Ht=E1.findIntersectionXY(lt,mt,lt,[ce-h,d-He]);return H(Ht[0],Ht[1])}function Be(ce,He){var lt=P+ce,mt=E+He,Ht=ae(P,E),at=ae(lt,mt),ct=M(Ht,m),ar=M(at,m),Vt=be(P,E,ct[0],ct[1]),rr=Math.min(be(lt,mt,ar[0],ar[1]),l),tt,je;ie(Vt,rr)&&(tt=V+t.pathSector(q),z&&(tt+=t.pathSector(z)),je=[Ce(z,ct[0],ct[1]),Ce(q,ct[0],ct[1])].join(\" \")),Se(tt,je)}function Le(){if(M1.removeZoombox(n),!(z===null||q===null)){var ce={};me(ce),M1.showDoubleClickNotifier(n),Pw.call(\"_guiRelayout\",n,ce)}}function me(ce){var He=b._rl,lt=(He[1]-He[0])/(1-u/l)/l,mt=[He[0]+(z-u)*lt,He[0]+(q-u)*lt];ce[t.id+\".radialaxis.range\"]=mt}function Pe(ce,He){var lt=n._fullLayout.clickmode;if(M1.removeZoombox(n),ce===2){var mt={};for(var Ht in t.viewInitial)mt[t.id+\".\"+Ht]=t.viewInitial[Ht];n.emit(\"plotly_doubleclick\",null),Pw.call(\"_guiRelayout\",n,mt)}lt.indexOf(\"select\")>-1&&ce===1&&EQt(He,n,[t.xaxis],[t.yaxis],t.id,g),lt.indexOf(\"event\")>-1&&e$e.click(n,He,t.id)}g.prepFn=function(ce,He,lt){var mt=n._fullLayout.dragmode,Ht=S.getBoundingClientRect();n._fullLayout._calcInverseTransform(n);var at=n._fullLayout._invTransform;x=n._fullLayout._invScaleX,C=n._fullLayout._invScaleY;var ct=Xc.apply3DTransform(at)(He-Ht.left,lt-Ht.top);if(P=ct[0],E=ct[1],m){var ar=E1.findPolygonOffset(l,v[0],v[1],m);P+=h+ar[0],E+=d+ar[1]}switch(mt){case\"zoom\":g.clickFn=Pe,r||(m?g.moveFn=Be:g.moveFn=ke,g.doneFn=Le,ge(ce,He,lt));break;case\"select\":case\"lasso\":MQt(ce,He,lt,g,mt);break}},w9.init(g)};Nd.updateRadialDrag=function(e,t,r){var n=this,i=n.gd,a=n.layers,o=n.radius,s=n.innerRadius,l=n.cx,u=n.cy,c=n.radialAxis,f=Nx.radialDragBoxSize,h=f/2;if(!c.visible)return;var d=Ux(n.radialAxisAngle),v=c._rl,m=v[0],b=v[1],p=v[r],k=.75*(v[1]-v[0])/(1-n.getHole(t))/o,M,T,L;r?(M=l+(o+h)*Math.cos(d),T=u-(o+h)*Math.sin(d),L=\"radialdrag\"):(M=l+(s-h)*Math.cos(d),T=u-(s-h)*Math.sin(d),L=\"radialdrag-inner\");var x=M1.makeRectDragger(a,L,\"crosshair\",-h,-h,f,f),C={element:x,gd:i};e.dragmode===!1&&(C.dragmode=!1),wC(Cw.select(x),c.visible&&s<o,{transform:xd(M,T)});var S,g,P;function E(Z,j){if(S)S(Z,j);else{var N=[Z,-j],H=[Math.cos(d),Math.sin(d)],re=Math.abs(Xc.dot(N,H)/Math.sqrt(Xc.dot(N,N)));isNaN(re)||(S=re<.5?V:G)}var ae={};z(ae),i.emit(\"plotly_relayouting\",ae)}function z(Z){g!==null?Z[n.id+\".radialaxis.angle\"]=g:P!==null&&(Z[n.id+\".radialaxis.range[\"+r+\"]\"]=P)}function 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Otr=Id().getSubplotCalcData,Btr=Pr().counterRegex,Ntr=aQ(),zQe=pQ(),qQe=zQe.attr,Rw=zQe.name,FQe=Btr(Rw),OQe={};OQe[qQe]={valType:\"subplotid\",dflt:Rw,editType:\"calc\"};function Utr(e){for(var t=e._fullLayout,r=e.calcdata,n=t._subplots[Rw],i=0;i<n.length;i++){var a=n[i],o=Otr(r,Rw,a),s=t[a]._subplot;s||(s=Ntr(e,a,!0),t[a]._subplot=s),s.plot(o,t,e._promises)}}function Vtr(e,t,r,n){for(var i=n._subplots[Rw]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;if(!t[o]&&s){s.framework.remove();for(var l in s.clipPaths)s.clipPaths[l].remove()}}}BQe.exports={attr:qQe,name:Rw,idRoot:Rw,idRegex:FQe,attrRegex:FQe,attributes:OQe,layoutAttributes:gQ(),supplyLayoutDefaults:DQe(),plot:Utr,clean:Vtr,toSVG:mh().toSVG}});var yQ=ye((nTr,VQe)=>{\"use 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jQe=ye((aTr,HQe)=>{\"use strict\";var z9=Pr(),lS=Ru(),Xtr=$p(),Ztr=D0(),GQe=fT(),Ytr=F0(),Ktr=Fg(),Jtr=Pm().PTS_LINESONLY,$tr=yQ();HQe.exports=function(t,r,n,i){function a(l,u){return z9.coerce(t,r,$tr,l,u)}var o=Qtr(t,r,i,a);if(!o){r.visible=!1;return}a(\"mode\",o<Jtr?\"lines+markers\":\"lines\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&(a(\"hovertemplate\"),a(\"hovertemplatefallback\")),lS.hasMarkers(r)&&Xtr(t,r,n,i,a,{gradient:!0}),lS.hasLines(r)&&(Ztr(t,r,n,i,a,{backoff:!0}),GQe(t,r,a),a(\"connectgaps\")),lS.hasText(r)&&(a(\"texttemplate\"),a(\"texttemplatefallback\"),Ytr(t,r,i,a));var s=[];(lS.hasMarkers(r)||lS.hasText(r))&&(a(\"cliponaxis\"),a(\"marker.maxdisplayed\"),s.push(\"points\")),a(\"fill\"),r.fill!==\"none\"&&(Ktr(t,r,n,a),lS.hasLines(r)||GQe(t,r,a)),(r.fill===\"tonext\"||r.fill===\"toself\")&&s.push(\"fills\"),a(\"hoveron\",s.join(\"+\")||\"points\"),z9.coerceSelectionMarkerOpacity(r,a)};function Qtr(e,t,r,n){var i=n(\"real\"),a=n(\"imag\"),o;return 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i=r.layers.frontplot.select(\"g.scatterlayer\"),a=r.xaxis,o=r.yaxis,s={xaxis:a,yaxis:o,plot:r.framework,layerClipId:r._hasClipOnAxisFalse?r.clipIds.forTraces:null},l=0;l<n.length;l++)for(var u=n[l],c=0;c<u.length;c++){c===0&&(u[0].trace._xA=a,u[0].trace._yA=o);var f=u[c],h=f.real;if(h===$Qe)f.x=f.y=$Qe;else{var d=srr([h,f.imag]);f.x=d[0],f.y=d[1]}}arr(t,s,n,i)}});var iet=ye((uTr,ret)=>{\"use strict\";var lrr=bT();function urr(e,t,r,n){var i=lrr(e,t,r,n);if(!(!i||i[0].index===!1)){var a=i[0];if(a.index===void 0)return i;var o=e.subplot,s=a.cd[a.index],l=a.trace;if(o.isPtInside(s))return a.xLabelVal=void 0,a.yLabelVal=void 0,tet(s,l,o,a),a.hovertemplate=l.hovertemplate,i}}function tet(e,t,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle=\"real\",a._hovertitle=\"imag\";var o={};o[t.subplot]={_subplot:r};var s=t._module.formatLabels(e,t,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=e.hi||t.hoverinfo,u=[];function c(h,d){u.push(h._hovertitle+\": 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t=this._year!==e._year?this._year-e._year:this._month!==e._month?this.monthOfYear()-e.monthOfYear():this._day-e._day;return t===0?0:t<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(e){return this._calendar.fromJD(e)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(e){return this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+q9(Math.abs(this.year()),4)+\"-\"+q9(this.month(),2)+\"-\"+q9(this.day(),2)}});function xQ(){this.shortYearCutoff=\"+10\"}O9(xQ.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new _Q(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear);return 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a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;o<c.minMonth;)a--,o+=c.monthsInYear(a);for(var f=c.monthsInYear(a);o>f-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);return Gs.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(e){return this.fromJD(Gs.instance().fromJSDate(e).toJD())},_validate:function(e,t,r,n){if(e.year){if(this._validateLevel===0&&this.name!==e.calendar().name)throw(Gs.local.differentCalendars||Gs.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this.local.name).replace(/\\{1\\}/,e.calendar().local.name);return e}try{if(this._validateLevel++,this._validateLevel===1&&!this.isValid(e,t,r))throw n.replace(/\\{0\\}/,this.local.name);var i=this.newDate(e,t,r);return this._validateLevel--,i}catch(a){throw this._validateLevel--,a}}});function bQ(e){this.local=this.regionalOptions[e]||this.regionalOptions[\"\"]}bQ.prototype=new xQ;O9(bQ.prototype,{name:\"Gregorian\",jdEpoch:17214255e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Gregorian\",epochs:[\"BCE\",\"CE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Gs.local.invalidYear||Gs.regionalOptions[\"\"].invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===0&&(r%100!==0||r%400===0)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Gs.local.invalidMonth||Gs.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate);e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<3&&(t+=12,e--);var i=Math.floor(e/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r+a-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=Math.floor((t-186721625e-2)/36524.25);r=t+1+r-Math.floor(r/4);var n=r+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(o*30.6001),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Gs.local.invalidDate||Gs.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Gs=cet.exports=new uet;Gs.cdate=_Q;Gs.baseCalendar=xQ;Gs.calendars.gregorian=bQ});var fet=ye(()=>{var wQ=Nh(),Ud=kv();wQ(Ud.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"});Ud.local=Ud.regionalOptions[\"\"];wQ(Ud.cdate.prototype,{formatDate:function(e,t){return typeof e!=\"string\"&&(t=e,e=\"\"),this._calendar.formatDate(e||\"\",this,t)}});wQ(Ud.baseCalendar.prototype,{UNIX_EPOCH:Ud.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:1440*60,TICKS_EPOCH:Ud.instance().jdEpoch,TICKS_PER_DAY:1440*60*1e7,ATOM:\"yyyy-mm-dd\",COOKIE:\"D, dd M yyyy\",FULL:\"DD, MM d, yyyy\",ISO_8601:\"yyyy-mm-dd\",JULIAN:\"J\",RFC_822:\"D, d M yy\",RFC_850:\"DD, dd-M-yy\",RFC_1036:\"D, d M yy\",RFC_1123:\"D, d M yyyy\",RFC_2822:\"D, d M yyyy\",RSS:\"D, d M yy\",TICKS:\"!\",TIMESTAMP:\"@\",W3C:\"yyyy-mm-dd\",formatDate:function(e,t,r){if(typeof e!=\"string\"&&(r=t,t=e,e=\"\"),!t)return\"\";if(t.calendar()!==this)throw Ud.local.invalidFormat||Ud.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(T,L){for(var x=1;M+x<e.length&&e.charAt(M+x)===T;)x++;return M+=x-1,Math.floor(x/(L||1))>1},c=function(T,L,x,C){var S=\"\"+L;if(u(T,C))for(;S.length<x;)S=\"0\"+S;return S},f=function(T,L,x,C){return u(T)?C[L]:x[L]},h=this,d=function(T){return typeof a==\"function\"?a.call(h,T,u(\"m\")):b(c(\"m\",T.month(),2))},v=function(T,L){return L?typeof s==\"function\"?s.call(h,T):s[T.month()-h.minMonth]:typeof o==\"function\"?o.call(h,T):o[T.month()-h.minMonth]},m=this.local.digits,b=function(T){return r.localNumbers&&m?m(T):T},p=\"\",k=!1,M=0;M<e.length;M++)if(k)e.charAt(M)===\"'\"&&!u(\"'\")?k=!1:p+=e.charAt(M);else switch(e.charAt(M)){case\"d\":p+=b(c(\"d\",t.day(),2));break;case\"D\":p+=f(\"D\",t.dayOfWeek(),n,i);break;case\"o\":p+=c(\"o\",t.dayOfYear(),3);break;case\"w\":p+=c(\"w\",t.weekOfYear(),2);break;case\"m\":p+=d(t);break;case\"M\":p+=v(t,u(\"M\"));break;case\"y\":p+=u(\"y\",2)?t.year():(t.year()%100<10?\"0\":\"\")+t.year()%100;break;case\"Y\":u(\"Y\",2),p+=t.formatYear();break;case\"J\":p+=t.toJD();break;case\"@\":p+=(t.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case\"!\":p+=(t.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case\"'\":u(\"'\")?p+=\"'\":k=!0;break;default:p+=e.charAt(M)}return p},parseDate:function(e,t,r){if(t==null)throw Ud.local.invalidArguments||Ud.regionalOptions[\"\"].invalidArguments;if(t=typeof t==\"object\"?t.toString():t+\"\",t===\"\")return null;e=e||this.local.dateFormat,r=r||{};var n=r.shortYearCutoff||this.shortYearCutoff;n=typeof n!=\"string\"?n:this.today().year()%100+parseInt(n,10);for(var i=r.dayNamesShort||this.local.dayNamesShort,a=r.dayNames||this.local.dayNames,o=r.parseMonth||this.local.parseMonth,s=r.monthNumbers||this.local.monthNumbers,l=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,c=-1,f=-1,h=-1,d=-1,v=-1,m=!1,b=!1,p=function(z,q){for(var V=1;g+V<e.length&&e.charAt(g+V)===z;)V++;return g+=V-1,Math.floor(V/(q||1))>1},k=function(z,q){var V=p(z,q),G=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(z)+1],Z=new RegExp(\"^-?\\\\d{1,\"+G+\"}\"),j=t.substring(S).match(Z);if(!j)throw(Ud.local.missingNumberAt||Ud.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,S);return S+=j[0].length,parseInt(j[0],10)},M=this,T=function(){if(typeof s==\"function\"){p(\"m\");var z=s.call(M,t.substring(S));return S+=z.length,z}return k(\"m\")},L=function(z,q,V,G){for(var Z=p(z,G)?V:q,j=0;j<Z.length;j++)if(t.substr(S,Z[j].length).toLowerCase()===Z[j].toLowerCase())return S+=Z[j].length,j+M.minMonth;throw(Ud.local.unknownNameAt||Ud.regionalOptions[\"\"].unknownNameAt).replace(/\\{0\\}/,S)},x=function(){if(typeof u==\"function\"){var z=p(\"M\")?u.call(M,t.substring(S)):l.call(M,t.substring(S));return S+=z.length,z}return L(\"M\",l,u)},C=function(){if(t.charAt(S)!==e.charAt(g))throw(Ud.local.unexpectedLiteralAt||Ud.regionalOptions[\"\"].unexpectedLiteralAt).replace(/\\{0\\}/,S);S++},S=0,g=0;g<e.length;g++)if(b)e.charAt(g)===\"'\"&&!p(\"'\")?b=!1:C();else switch(e.charAt(g)){case\"d\":d=k(\"d\");break;case\"D\":L(\"D\",i,a);break;case\"o\":v=k(\"o\");break;case\"w\":k(\"w\");break;case\"m\":h=T();break;case\"M\":h=x();break;case\"y\":var P=g;m=!p(\"y\",2),g=P,f=k(\"y\",2);break;case\"Y\":f=k(\"Y\",2);break;case\"J\":c=k(\"J\")+.5,t.charAt(S)===\".\"&&(S++,k(\"J\"));break;case\"@\":c=k(\"@\")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case\"!\":c=k(\"!\")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case\"*\":S=t.length;break;case\"'\":p(\"'\")?C():b=!0;break;default:C()}if(S<t.length)throw Ud.local.unexpectedText||Ud.regionalOptions[\"\"].unexpectedText;if(f===-1?f=this.today().year():f<100&&m&&(f+=n===-1?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),typeof h==\"string\"&&(h=o.call(this,f,h)),v>-1){h=1,d=v;for(var E=this.daysInMonth(f,h);d>E;E=this.daysInMonth(f,h))h++,d-=E}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var l=(s.match(/^c/)&&r?r.newDate():null)||a.today(),u=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,c=u.exec(s);c;)l.add(parseInt(c[1],10),c[2]||\"d\"),c=u.exec(s);return l};return t=t?t.newDate():null,e=e==null?t:typeof e==\"string\"?o(e):typeof e==\"number\"?isNaN(e)||e===1/0||e===-1/0?t:a.today().add(e,\"d\"):a.newDate(e),e}})});var het=ye(()=>{var jx=kv(),crr=Nh(),TQ=jx.instance();function B9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}B9.prototype=new jx.baseCalendar;crr(B9.prototype,{name:\"Chinese\",jdEpoch:17214255e-1,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(e,t){if(typeof e==\"string\"){var r=e.match(hrr);return r?r[0]:\"\"}var n=this._validateYear(e),i=e.month(),a=\"\"+this.toChineseMonth(n,i);return t&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(e){if(typeof e==\"string\"){var t=e.match(drr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\\u6708\",\"\\u4E8C\\u6708\",\"\\u4E09\\u6708\",\"\\u56DB\\u6708\",\"\\u4E94\\u6708\",\"\\u516D\\u6708\",\"\\u4E03\\u6708\",\"\\u516B\\u6708\",\"\\u4E5D\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4E00\\u6708\",\"\\u5341\\u4E8C\\u6708\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},monthNamesShort:function(e){if(typeof e==\"string\"){var t=e.match(vrr);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},parseMonth:function(e,t){e=this._validateYear(e);var r=parseInt(t),n;if(isNaN(r))t[0]===\"\\u95F0\"&&(n=!0,t=t.substring(1)),t[t.length-1]===\"\\u6708\"&&(t=t.substring(0,t.length-1)),r=1+[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"].indexOf(t);else{var i=t[t.length-1];n=i===\"i\"||i===\"I\"}var a=this.toMonthIndex(e,r,n);return a},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(e,t){if(e.year&&(e=e.year()),typeof e!=\"number\"||e<1888||e>2111)throw t.replace(/\\{0\\}/,this.local.name);return e},toMonthIndex:function(e,t,r){var n=this.intercalaryMonth(e),i=r&&t!==n;if(i||t<1||t>12)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a;return n?!r&&t<=n?a=t-1:a=t:a=t-1,a},toChineseMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e),n=r?12:11;if(t<0||t>n)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var i;return r?t<r?i=t+1:i=t:i=t+1,i},intercalaryMonth:function(e){e=this._validateYear(e);var t=Wx[e-Wx[0]],r=t>>13;return r},isIntercalaryMonth:function(e,t){e.year&&(e=e.year(),t=e.month());var r=this.intercalaryMonth(e);return!!r&&r===t},leapYear:function(e){return this.intercalaryMonth(e)!==0},weekOfYear:function(e,t,r){var n=this._validateYear(e,jx.local.invalidyear),i=Xx[n-Xx[0]],a=i>>9&4095,o=i>>5&15,s=i&31,l;l=TQ.newDate(a,o,s),l.add(4-(l.dayOfWeek()||7),\"d\");var u=this.toJD(e,t,r)-l.toJD();return 1+Math.floor(u/7)},monthsInYear:function(e){return this.leapYear(e)?13:12},daysInMonth:function(e,t){e.year&&(t=e.month(),e=e.year()),e=this._validateYear(e);var r=Wx[e-Wx[0]],n=r>>13,i=n?12:11;if(t>i)throw jx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a=r&1<<12-t?30:29;return a},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,a,r,jx.local.invalidDate);e=this._validateYear(n.year()),t=n.month(),r=n.day();var i=this.isIntercalaryMonth(e,t),a=this.toChineseMonth(e,t),o=grr(e,a,r,i);return TQ.toJD(o.year,o.month,o.day)},fromJD:function(e){var t=TQ.fromJD(e),r=prr(t.year(),t.month(),t.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(e){var t=e.match(frr),r=this._validateYear(+t[1]),n=+t[2],i=!!t[3],a=this.toMonthIndex(r,n,i),o=+t[4];return this.newDate(r,a,o)},add:function(e,t,r){var n=e.year(),i=e.month(),a=this.isIntercalaryMonth(n,i),o=this.toChineseMonth(n,i),s=Object.getPrototypeOf(B9.prototype).add.call(this,e,t,r);if(r===\"y\"){var l=s.year(),u=s.month(),c=this.isIntercalaryMonth(l,o),f=a&&c?this.toMonthIndex(l,o,!0):this.toMonthIndex(l,o,!1);f!==u&&s.month(f)}return s}});var frr=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,hrr=/^\\d?\\d[iI]?/m,drr=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?\u6708/m,vrr=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?/m;jx.calendars.chinese=B9;var 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prr(e,t,r,n){var i,a;if(typeof e==\"object\")i=e,a=t||{};else{var o=typeof e==\"number\"&&e>=1888&&e<=2111;if(!o)throw new Error(\"Solar year outside range 1888-2111\");var s=typeof t==\"number\"&&t>=1&&t<=12;if(!s)throw new Error(\"Solar month outside range 1 - 12\");var l=typeof r==\"number\"&&r>=1&&r<=31;if(!l)throw new Error(\"Solar day outside range 1 - 31\");i={year:e,month:t,day:r},a=n||{}}var u=Xx[i.year-Xx[0]],c=i.year<<9|i.month<<5|i.day;a.year=c>=u?i.year:i.year-1,u=Xx[a.year-Xx[0]];var f=u>>9&4095,h=u>>5&15,d=u&31,v,m=new Date(f,h-1,d),b=new Date(i.year,i.month-1,i.day);v=Math.round((b-m)/(24*3600*1e3));var p=Wx[a.year-Wx[0]],k;for(k=0;k<13;k++){var M=p&1<<12-k?30:29;if(v<M)break;v-=M}var T=p>>13;return!T||k<T?(a.isIntercalary=!1,a.month=1+k):k===T?(a.isIntercalary=!0,a.month=k):(a.isIntercalary=!1,a.month=k),a.day=1+v,a}function grr(e,t,r,n,i){var a,o;if(typeof e==\"object\")o=e,a=t||{};else{var s=typeof e==\"number\"&&e>=1888&&e<=2111;if(!s)throw new Error(\"Lunar year 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this._validate(e,this.minMonth,this.minDay,Dw.local.invalidYear||Dw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Dw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Dw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});Dw.calendars.coptic=AQ});var vet=ye(()=>{var k1=kv(),yrr=Nh();function SQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}SQ.prototype=new k1.baseCalendar;yrr(SQ.prototype,{name:\"Discworld\",jdEpoch:17214255e-1,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),!1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),13},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,k1.local.invalidYear),400},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,k1.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return(n.day()+1)%8},weekDay:function(e,t,r){var n=this.dayOfWeek(e,t,r);return n>=2&&n<=6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return{century:_rr[Math.floor((n.year()-1)/100)+1]||\"\"}},toJD:function(e,t,r){var n=this._validate(e,t,r,k1.local.invalidDate);return e=n.year()+(n.year()<0?1:0),t=n.month(),r=n.day(),r+(t>1?16:0)+(t>2?(t-2)*32:0)+(e-1)*400+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e+.5)-Math.floor(this.jdEpoch)-1;var t=Math.floor(e/400)+1;e-=(t-1)*400,e+=e>15?16:0;var r=Math.floor(e/32)+1,n=e-(r-1)*32+1;return this.newDate(t<=0?t-1:t,r,n)}});var _rr={20:\"Fruitbat\",21:\"Anchovy\"};k1.calendars.discworld=SQ});var pet=ye(()=>{var Fw=kv(),xrr=Nh();function MQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}MQ.prototype=new Fw.baseCalendar;xrr(MQ.prototype,{name:\"Ethiopian\",jdEpoch:17242205e-1,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Fw.local.invalidYear),r=t.year()+(t.year()<0?1:0);return r%4===3||r%4===-1},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Fw.local.invalidYear||Fw.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Fw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===13&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,Fw.local.invalidDate);return e=n.year(),e<0&&e++,n.day()+(n.month()-1)*30+(e-1)*365+Math.floor(e/4)+this.jdEpoch-1},fromJD:function(e){var t=Math.floor(e)+.5-this.jdEpoch,r=Math.floor((t-Math.floor((t+366)/1461))/365)+1;r<=0&&r--,t=Math.floor(e)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(t/30)+1,i=t-(n-1)*30+1;return this.newDate(r,n,i)}});Fw.calendars.ethiopian=MQ});var get=ye(()=>{var Zx=kv(),brr=Nh();function EQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}EQ.prototype=new Zx.baseCalendar;brr(EQ.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear);return this._leapYear(t.year())},_leapYear:function(e){return e=e<0?e+1:e,N9(e*7+1,19)<7},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear),this._leapYear(e.year?e.year():e)?13:12},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Zx.local.invalidYear);return e=t.year(),this.toJD(e===-1?1:e+1,7,1)-this.toJD(e,7,1)},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,Zx.local.invalidMonth),t===12&&this.leapYear(e)||t===8&&N9(this.daysInYear(e),10)===5?30:t===9&&N9(this.daysInYear(e),10)===3?29:this.daysPerMonth[t-1]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},extraInfo:function(e,t,r){var n=this._validate(e,t,r,Zx.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(e,t,r){var n=this._validate(e,t,r,Zx.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e<=0?e+1:e,a=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(t<7){for(var o=7;o<=this.monthsInYear(e);o++)a+=this.daysInMonth(e,o);for(var o=1;o<t;o++)a+=this.daysInMonth(e,o)}else for(var o=7;o<t;o++)a+=this.daysInMonth(e,o);return a},_delay1:function(e){var t=Math.floor((235*e-234)/19),r=12084+13753*t,n=t*29+Math.floor(r/25920);return N9(3*(n+1),7)<3&&n++,n},_delay2:function(e){var t=this._delay1(e-1),r=this._delay1(e),n=this._delay1(e+1);return n-r===356?2:r-t===382?1:0},fromJD:function(e){e=Math.floor(e)+.5;for(var t=Math.floor((e-this.jdEpoch)*98496/35975351)-1;e>=this.toJD(t===-1?1:t+1,7,1);)t++;for(var r=e<this.toJD(t,1,1)?7:1;e>this.toJD(t,r,this.daysInMonth(t,r));)r++;var n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});function N9(e,t){return e-t*Math.floor(e/t)}Zx.calendars.hebrew=EQ});var met=ye(()=>{var AC=kv(),wrr=Nh();function kQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}kQ.prototype=new AC.baseCalendar;wrr(kQ.prototype,{name:\"Islamic\",jdEpoch:19484395e-1,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012Bs\",\"Yawm al-jum'a\",\"Yawm 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t=Math.floor((30*(e-this.jdEpoch)+10646)/10631);t=t<=0?t-1:t;var r=Math.min(12,Math.ceil((e-29-this.toJD(t,1,1))/29.5)+1),n=e-this.toJD(t,r,1)+1;return this.newDate(t,r,n)}});AC.calendars.islamic=kQ});var yet=ye(()=>{var SC=kv(),Trr=Nh();function CQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}CQ.prototype=new SC.baseCalendar;Trr(CQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,SC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,SC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,SC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});SC.calendars.julian=CQ});var xet=ye(()=>{var fg=kv(),Arr=Nh();function PQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}PQ.prototype=new fg.baseCalendar;Arr(PQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r<e.length;r++){var n=parseInt(e[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,fg.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,fg.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,fg.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,fg.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=LQ(e+8+340,365);return[Math.floor(t/20)+1,LQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[_et(e+20,20),_et(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,fg.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function LQ(e,t){return e-t*Math.floor(e/t)}function _et(e,t){return LQ(e-1,t)+1}fg.calendars.mayan=PQ});var wet=ye(()=>{var zw=kv(),Srr=Nh();function IQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}IQ.prototype=new zw.baseCalendar;var bet=zw.instance(\"gregorian\");Srr(IQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,zw.local.invalidYear||zw.regionalOptions[\"\"].invalidYear);return bet.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,zw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,zw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o<n.month();o++)a+=this.daysPerMonth[o-1];return a+bet.toJD(i+1468,3,13)},fromJD:function(e){e=Math.floor(e+.5);for(var t=Math.floor((e-(this.jdEpoch-1))/366);e>=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});zw.calendars.nanakshahi=IQ});var Tet=ye(()=>{var qw=kv(),Mrr=Nh();function RQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}RQ.prototype=new qw.baseCalendar;Mrr(RQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(e){return this.daysInYear(e)!==this.daysPerYear},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,qw.local.invalidYear);if(e=t.year(),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\")return this.daysPerYear;for(var r=0,n=this.minMonth;n<=12;n++)r+=this.NEPALI_CALENDAR_DATA[e][n];return r},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,qw.local.invalidMonth),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\"?this.daysPerMonth[t-1]:this.NEPALI_CALENDAR_DATA[e][t]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},toJD:function(e,t,r){var n=this._validate(e,t,r,qw.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=qw.instance(),a=0,o=t,s=e;this._createMissingCalendarData(e);var l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=qw.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)o++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r<e+2;r++)typeof this.NEPALI_CALENDAR_DATA[r]==\"undefined\"&&(this.NEPALI_CALENDAR_DATA[r]=t)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,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Aet=ye(()=>{var uS=kv(),Err=Nh();function V9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}function U9(e){var t=e-475;e<0&&t++;var r=.242197,n=r*t,i=r*(t+1),a=n-Math.floor(n),o=i-Math.floor(i);return a>o}V9.prototype=new uS.baseCalendar;Err(V9.prototype,{name:\"Persian\",jdEpoch:19483205e-1,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Dey\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Dey\",\"Bah\",\"Esf\"],dayNames:[\"Yekshanbeh\",\"Doshanbeh\",\"Seshanbeh\",\"Chah\\u0101rshanbeh\",\"Panjshanbeh\",\"Jom'eh\",\"Shanbeh\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Cha\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,uS.local.invalidYear);return U9(t.year())},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,uS.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,uS.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=0;if(e>0)for(var a=1;a<e;a++)U9(a)&&i++;else if(e<0)for(var a=e;a<0;a++)U9(a)&&i--;return r+(t<=7?(t-1)*31:(t-1)*30+6)+(e>0?e-1:e)*365+i+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=475+(e-this.toJD(475,1,1))/365.242197,r=Math.floor(t);r<=0&&r--,e>this.toJD(r,12,U9(r)?30:29)&&(r++,r===0&&r++);var n=e-this.toJD(r,1,1)+1,i=n<=186?Math.ceil(n/31):Math.ceil((n-6)/30),a=e-this.toJD(r,i,1)+1;return this.newDate(r,i,a)}});uS.calendars.persian=V9;uS.calendars.jalali=V9});var Met=ye(()=>{var Ow=kv(),krr=Nh(),G9=Ow.instance();function DQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}DQ.prototype=new Ow.baseCalendar;krr(DQ.prototype,{name:\"Taiwan\",jdEpoch:24194025e-1,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Ow.local.invalidYear),r=this._t2gYear(t.year());return G9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Ow.local.invalidYear),i=this._t2gYear(n.year());return G9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Ow.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Ow.local.invalidDate),i=this._t2gYear(n.year());return G9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=G9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Ow.calendars.taiwan=DQ});var Eet=ye(()=>{var Bw=kv(),Crr=Nh(),H9=Bw.instance();function FQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}FQ.prototype=new Bw.baseCalendar;Crr(FQ.prototype,{name:\"Thai\",jdEpoch:15230985e-1,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Bw.local.invalidYear),r=this._t2gYear(t.year());return H9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Bw.local.invalidYear),i=this._t2gYear(n.year());return H9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Bw.local.invalidDate),i=this._t2gYear(n.year());return H9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=H9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Bw.calendars.thai=FQ});var ket=ye(()=>{var Nw=kv(),Lrr=Nh();function zQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}zQ.prototype=new Nw.baseCalendar;Lrr(zQ.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012Bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Nw.local.invalidYear);return this.daysInYear(t.year())===355},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Nw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;a<Yx.length;a++){if(Yx[a]>n)return Yx[i]-Yx[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Nw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Yx[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;n<Yx.length&&!(Yx[n]>t);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Yx[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Nw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Nw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Nw.calendars.ummalqura=zQ;var 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Let=ye((GTr,Cet)=>{\"use strict\";Cet.exports=kv();fet();het();det();vet();pet();get();met();yet();xet();wet();Tet();Aet();Met();Eet();ket()});var qet=ye((HTr,zet)=>{\"use strict\";var Iet=Let(),MC=Pr(),Ret=fs(),Prr=Ret.EPOCHJD,Irr=Ret.ONEDAY,BQ={valType:\"enumerated\",values:MC.sortObjectKeys(Iet.calendars),editType:\"calc\",dflt:\"gregorian\"},Det=function(e,t,r,n){var i={};return i[r]=BQ,MC.coerce(e,t,i,r,n)},Rrr=function(e,t,r,n){for(var i=0;i<r.length;i++)Det(e,t,r[i]+\"calendar\",n.calendar)},Drr={chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},Frr={chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},zrr={chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},j9=\"##\",qrr={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:j9,w:j9,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}};function Orr(e,t,r){for(var n=Math.floor((t+.05)/Irr)+Prr,i=Fet(r).fromJD(n),a=0,o,s,l,u,c;(a=e.indexOf(\"%\",a))!==-1;)o=e.charAt(a+1),o===\"0\"||o===\"-\"||o===\"_\"?(l=3,s=e.charAt(a+2),o===\"_\"&&(o=\"-\")):(s=o,o=\"0\",l=2),u=qrr[s],u?(u===j9?c=j9:c=i.formatDate(u[o]),e=e.slice(0,a)+c+e.slice(a+l),a+=c.length):a+=l;return e}var Pet={};function Fet(e){var t=Pet[e];return t||(t=Pet[e]=Iet.instance(e),t)}function EC(e){return MC.extendFlat({},BQ,{description:e})}function NQ(e){return\"Sets the calendar system to use with `\"+e+\"` date data.\"}var OQ={xcalendar:EC(NQ(\"x\"))},hy=MC.extendFlat({},OQ,{ycalendar:EC(NQ(\"y\"))}),qQ=MC.extendFlat({},hy,{zcalendar:EC(NQ(\"z\"))}),cS=EC([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));zet.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:hy,bar:hy,box:hy,heatmap:hy,contour:hy,histogram:hy,histogram2d:hy,histogram2dcontour:hy,scatter3d:qQ,surface:qQ,mesh3d:qQ,scattergl:hy,ohlc:OQ,candlestick:OQ},layout:{calendar:EC([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:cS},yaxis:{calendar:cS},scene:{xaxis:{calendar:cS},yaxis:{calendar:cS},zaxis:{calendar:cS}},polar:{radialaxis:{calendar:cS}}}},layoutAttributes:BQ,handleDefaults:Det,handleTraceDefaults:Rrr,CANONICAL_SUNDAY:Frr,CANONICAL_TICK:Drr,DFLTRANGE:zrr,getCal:Fet,worldCalFmt:Orr}});var Bet=ye((jTr,Oet)=>{\"use strict\";Oet.exports=qet()});var Brr=ye((WTr,Uet)=>{var Net=pye();Net.register([m1e(),n_e(),yxe(),Bxe(),Qxe(),Ybe(),l2e(),K2e(),Swe(),s3e(),Z3e(),oke(),Yke(),N6e(),kLe(),aPe(),CPe(),e8e(),_8e(),q8e(),Y8e(),uRe(),ARe(),NRe(),yFe(),OFe(),tNe(),tUe(),fVe(),qVe(),XGe(),lHe(),IHe(),Hje(),aWe(),CWe(),OXe(),lZe(),GZe(),fKe(),zKe(),iJe(),CJe(),GJe(),V$e(),sQe(),MQe(),set(),Bet()]);Uet.exports=Net});return Brr();})();\n",
+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\n",
+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
+       "/*! Bundled license information:\n",
+       "\n",
+       "native-promise-only/lib/npo.src.js:\n",
+       "  (*! Native Promise Only\n",
+       "      v0.8.1 (c) Kyle Simpson\n",
+       "      MIT License: http://getify.mit-license.org\n",
+       "  *)\n",
+       "\n",
+       "polybooljs/index.js:\n",
+       "  (*\n",
+       "   * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       "   * @license MIT\n",
+       "   * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       "   *)\n",
+       "\n",
+       "ieee754/index.js:\n",
+       "  (*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "buffer/index.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "safe-buffer/index.js:\n",
+       "  (*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> *)\n",
+       "\n",
+       "assert/build/internal/util/comparisons.js:\n",
+       "  (*!\n",
+       "   * The buffer module from node.js, for the browser.\n",
+       "   *\n",
+       "   * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       "   * @license  MIT\n",
+       "   *)\n",
+       "\n",
+       "object-assign/index.js:\n",
+       "  (*\n",
+       "  object-assign\n",
+       "  (c) Sindre Sorhus\n",
+       "  @license MIT\n",
+       "  *)\n",
+       "\n",
+       "maplibre-gl/dist/maplibre-gl.js:\n",
+       "  (**\n",
+       "   * MapLibre GL JS\n",
+       "   * @license 3-Clause BSD. Full text of license: https://github.com/maplibre/maplibre-gl-js/blob/v4.7.1/LICENSE.txt\n",
+       "   *)\n",
+       "*/\n",
+       "\n",
+       "window.Plotly = Plotly;\n",
+       "return Plotly;\n",
+       "}));</script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import datetime\n",
+    "import logging\n",
+    "import re\n",
+    "\n",
+    "import pandas as pd\n",
+    "import plotly.express as px\n",
+    "from IPython.display import display\n",
+    "\n",
+    "from tradingstrategy.client import Client\n",
+    "from tradeexecutor.utils.notebook import setup_charting_and_output, OutputMode\n",
+    "\n",
+    "client = Client.create_jupyter_client()\n",
+    "setup_charting_and_output(OutputMode.static, image_format='png', width=1500, height=1000)\n",
+    "logger = logging.getLogger('strategy')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "68ed0ade",
+   "metadata": {},
+   "source": [
+    "## Universe definition\n",
+    "\n",
+    "- Use the same Hyperliquid survivor-first vault universe as NB152 so the clean-up stays directly comparable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "94a97e30",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:18.524314Z",
+     "iopub.status.busy": "2026-07-24T10:38:18.524169Z",
+     "iopub.status.idle": "2026-07-24T10:38:18.582851Z",
+     "shell.execute_reply": "2026-07-24T10:38:18.582266Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Chain universe: Lighter\n",
+      "Reserve asset: <USDC at 0x0000000000000000000000000000000000000000>\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradingstrategy.chain import ChainId\n",
+    "from tradeexecutor.state.identifier import AssetIdentifier\n",
+    "\n",
+    "CHAIN_ID = ChainId.lighter\n",
+    "\n",
+    "EXCHANGES = ('uniswap-v2', 'uniswap-v3')\n",
+    "SUPPORTING_PAIRS = [\n",
+    "    (ChainId.arbitrum, 'uniswap-v3', 'WETH', 'USDC', 0.0005),\n",
+    "    (ChainId.ethereum, 'uniswap-v3', 'WETH', 'USDC', 0.0005),\n",
+    "    (ChainId.ethereum, 'uniswap-v3', 'WBTC', 'USDC', 0.003),\n",
+    "]\n",
+    "LENDING_RESERVES = None\n",
+    "# Lighter pools are USDC-denominated with a placeholder zero denomination-token\n",
+    "# address on the synthetic Lighter chain (9998); match the reserve to that so\n",
+    "# deposits need no cross-asset conversion.\n",
+    "PREFERRED_STABLECOIN = AssetIdentifier(\n",
+    "    chain_id=ChainId.lighter.value,\n",
+    "    address='0x0000000000000000000000000000000000000000',\n",
+    "    token_symbol='USDC',\n",
+    "    decimals=6,\n",
+    ")\n",
+    "ALLOWED_VAULT_DENOMINATION_TOKENS = {'USDC', 'USDT', 'USDC.e', 'crvUSD', 'USDT0', 'USD\u20ae0', 'USDt', 'USDS'}\n",
+    "\n",
+    "print(f'Chain universe: {CHAIN_ID.get_name()}')\n",
+    "print(f'Reserve asset: {PREFERRED_STABLECOIN}')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a872eb77",
+   "metadata": {},
+   "source": [
+    "## Parameters\n",
+    "\n",
+    "- Keep the strategy parameters identical to `02-backtest-until-2026-07-09.ipynb`, except reduce initial capital to `25,000 USD`.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ffd9c402",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:18.620695Z",
+     "iopub.status.busy": "2026-07-24T10:38:18.620441Z",
+     "iopub.status.idle": "2026-07-24T10:38:20.035705Z",
+     "shell.execute_reply": "2026-07-24T10:38:20.035229Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from tradeexecutor.strategy.cycle import CycleDuration\n",
+    "from tradeexecutor.strategy.default_routing_options import TradeRouting\n",
+    "from tradeexecutor.strategy.parameters import StrategyParameters\n",
+    "from skopt.space import Categorical\n",
+    "from tradingstrategy.timebucket import TimeBucket\n",
+    "\n",
+    "\n",
+    "class Parameters:\n",
+    "    #: Notebook identifier for the LLP-core / healthy-satellite construction.\n",
+    "    id = '05-backtest-llp-core-healthy-satellites'\n",
+    "\n",
+    "    #: Daily candles, matching the Hyperliquid baseline this variant is based on.\n",
+    "    candle_time_bucket = TimeBucket.d1\n",
+    "    #: Weekly rebalance: ~18% of Lighter daily marks are stale, so daily churn\n",
+    "    #: trades fictitious prices; weekly also showed better risk-adjusted results\n",
+    "    #: in the frictionless allocation tests.\n",
+    "    cycle_duration = CycleDuration.cycle_7d\n",
+    "    #: Lighter (synthetic chain 9998) is the primary chain for pools.\n",
+    "    chain_id = CHAIN_ID\n",
+    "    #: Lighter is the primary execution chain for these pools.\n",
+    "    primary_chain_id = CHAIN_ID\n",
+    "    #: Keep the same exchange set as NB143, NB153, and the live-style test strategy.\n",
+    "    exchanges = EXCHANGES\n",
+    "\n",
+    "    #: Extend the basket-breadth search down to 3- and 4-vault portfolios. Notebook 20\n",
+    "    #: hit a hard lower wall at 5 (Sharpe 1.77 at 5, collapsing for every wider basket),\n",
+    "    #: so the peak may sit below 5. Keep the wider values so the optimiser can re-confirm\n",
+    "    #: they are worse.\n",
+    "    #: LLP core plus up to seven healthy satellites.\n",
+    "    max_assets_in_portfolio = 8\n",
+    "    #: NB143 and NB154-NB157 used 98% target deployment and the corrected waterfall branch held up there.\n",
+    "    #: NB156 showed lower allocation is viable, but not better enough to replace the release default.\n",
+    "    allocation_pct = 0.98\n",
+    "    #: The LLP core may absorb the entire budget when no satellites qualify:\n",
+    "    #: the passive alternative is 100% LLP, so capping the core below that\n",
+    "    #: only forces capital into cash. Satellites are capped separately via\n",
+    "    #: `satellite_max_weight` in raw-signal construction.\n",
+    "    max_concentration_pct = 1.00\n",
+    "    #: Tight per-pool liquidity cap (nb23 optimum).\n",
+    "    per_position_cap_of_pool_pct = 0.20\n",
+    "    #: Engine hygiene threshold used across the survivor-first notebooks.\n",
+    "    #: Keep it because the alpha model uses it when cleaning up tiny residual positions.\n",
+    "    min_portfolio_weight_pct = 0.005\n",
+    "\n",
+    "    #: Keep the conservative 5 USD minimum deposit floor from the Hyperliquid baseline.\n",
+    "    absolute_min_vault_deposit_usd = 5.0\n",
+    "    #: Preserve the old 50 USD buy threshold at 100k initial cash.\n",
+    "    individual_rebalance_min_threshold_of_initial_cash_pct = 0.0005\n",
+    "    #: Preserve the old 10 USD sell threshold at 100k initial cash.\n",
+    "    sell_rebalance_min_threshold_of_initial_cash_pct = 0.0001\n",
+    "\n",
+    "    #: NB141 selected this wider survivor-first TVL floor and NB143-NB157 validated the allocator on it.\n",
+    "    #: This is intentionally the survivor-first release setting, not the older NB124/NB126 production threshold.\n",
+    "    min_tvl_usd = 7_500\n",
+    "    #: Age gate removed from the search: notebook 19 showed the Sharpe-1.77 optimum\n",
+    "    #: was flat across every min_age value, so it is fixed at 0.0. The composite's\n",
+    "    #: trailing lookback windows (60-360 days) supply the effective maturity gate.\n",
+    "    min_age = 0.0\n",
+    "    #: Selection signal for this variant: a searchable blend of a bounded CAGR\n",
+    "    #: score and a bounded Sharpe score (see the indicators cell). Vaults are\n",
+    "    #: ranked by this composite, then the selected basket is equal-weighted.\n",
+    "    weight_signal = 'cagr_sharpe'\n",
+    "    #: Baseline composite CAGR window (fixed) used for the ranked selection gate.\n",
+    "    cagr_lookback_days = 360\n",
+    "    #: Baseline composite Sharpe window (fixed).\n",
+    "    sharpe_lookback_days = 180\n",
+    "    #: Baseline composite blend (fixed 50/50).\n",
+    "    cagr_weight = 0.50\n",
+    "    #: Hard history floor (days) for the cagr/sharpe/inverse-vol *criteria*: below this a\n",
+    "    #: vault's criterion is NaN, so it cannot be ranked or weighted on <60 days of noise.\n",
+    "    history_floor_days = 60\n",
+    "    #: Age-ramp period retained only for backward-compatible diagnostics; the age\n",
+    "    #: ramp is no longer the selection signal in this variant.\n",
+    "    age_ramp_period = 0.875\n",
+    "    #: NB07's selected churn stabiliser; keep eligible incumbents for their first three days.\n",
+    "    minimum_hold_days = 3\n",
+    "\n",
+    "    #: Core/satellite construction: LLP anchor share of the raw signal budget.\n",
+    "    llp_core_weight = 0.60\n",
+    "    #: Ceiling for any single satellite's raw weight (first-hit budget: one\n",
+    "    #: unavoidable -20% pool event costs the portfolio about 2%).\n",
+    "    satellite_max_weight = 0.10\n",
+    "    #: Point-in-time hygiene rule: minimum live TVL for a satellite.\n",
+    "    healthy_min_tvl_usd = 100_000\n",
+    "    #: Point-in-time hygiene rule: maximum fraction of stale (zero-return) daily\n",
+    "    #: marks over the trailing staleness window.\n",
+    "    max_stale_fraction = 0.50\n",
+    "    #: Trailing window (days) for the stale-mark fraction indicator.\n",
+    "    staleness_window_days = 60\n",
+    "    #: Point-in-time hygiene rule: minimum TVL as a fraction of its running peak\n",
+    "    #: (TVL-collapse detector; collapse accompanied every historical blow-up).\n",
+    "    tvl_collapse_floor = 0.25\n",
+    "\n",
+    "    #: August 2025 remains the canonical mature-universe start used by the release branch.\n",
+    "    backtest_start = datetime.datetime(2025, 8, 1)\n",
+    "    #: Exclusive end boundary; includes the completed daily cycle for yesterday, 2026-07-09.\n",
+    "    backtest_end = datetime.datetime(2026, 7, 10)\n",
+    "    #: Smaller bankroll for testing release-candidate behaviour at 25,000 USD initial capital.\n",
+    "    initial_cash = 25_000\n",
+    "    #: Derived at class creation time from the configured initial cash and the 5 USD hard floor.\n",
+    "    individual_rebalance_min_threshold_usd = max(\n",
+    "        absolute_min_vault_deposit_usd,\n",
+    "        initial_cash * individual_rebalance_min_threshold_of_initial_cash_pct,\n",
+    "    )\n",
+    "    #: Derived at class creation time from the configured initial cash and the 5 USD hard floor.\n",
+    "    sell_rebalance_min_threshold_usd = max(\n",
+    "        absolute_min_vault_deposit_usd,\n",
+    "        initial_cash * sell_rebalance_min_threshold_of_initial_cash_pct,\n",
+    "    )\n",
+    "\n",
+    "    #: Optimiser runs do not model managed yield.\n",
+    "    use_managed_yield = False\n",
+    "\n",
+    "    #: Default routing is still required by the strategy runtime even though it is not the alpha source.\n",
+    "    routing = TradeRouting.default\n",
+    "    #: Set deliberately high so live and notebook indicator calculations use effectively all available history.\n",
+    "    #: This is an operational correction to the old 120-day default because `age()` and other history-derived indicators\n",
+    "    #: depend on the first available data point and would be silently biased by a truncated lookback window.\n",
+    "    required_history_period = datetime.timedelta(days=365 * 20)\n",
+    "    #: Keep the same live-style slippage assumption as NB153 and `hyper-ai-test.py`.\n",
+    "    slippage_tolerance_pct = 0.0060\n",
+    "    #: Assume no liquidity if there is a gap in TVL data.\n",
+    "    assummed_liquidity_when_data_missings_usd = 0.01\n",
+    "\n",
+    "\n",
+    "parameters = StrategyParameters.from_class(Parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9812a88c",
+   "metadata": {},
+   "source": [
+    "## Trading universe\n",
+    "\n",
+    "- Build the tradable supporting-pair and Hyperliquid vault universe used by the backtest."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "464464ac",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:20.074150Z",
+     "iopub.status.busy": "2026-07-24T10:38:20.073844Z",
+     "iopub.status.idle": "2026-07-24T10:38:26.570085Z",
+     "shell.execute_reply": "2026-07-24T10:38:26.569509Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Preparing trading universe on chain Lighter\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "We have total 392220 pairs in dataset and going to use 3 pairs for the strategy\n",
+      "Lighter universe fingerprint: c3f8a8e2\n",
+      "Loaded 27 cached Lighter vaults (lighter-tvl7500-topall-age0.0-sort1Y-nobeta-curc3f8a8e2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4217 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed to parse vault entry: 4663 is not a valid ChainId\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded 27 vaults from remote vault metadata, source vaults count: 27\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Loading TVL/liquidity data for 3 pairs:   0%|          | 0/3 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Loading TVL/liquidity data for 3 pairs: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 3/3 [00:00<00:00, 109.66it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Results limited to first 75 entries\n",
+      "Head (5 rows)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>base</th>\n",
+       "      <th>quote</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fee %</th>\n",
+       "      <th>price</th>\n",
+       "      <th>first_price_at</th>\n",
+       "      <th>last_price_at</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>tvl</th>\n",
+       "      <th>tvl_at</th>\n",
+       "      <th>tax</th>\n",
+       "      <th>tokensniffer_risk_score</th>\n",
+       "      <th>token_risk_score</th>\n",
+       "      <th>token_risk_flags</th>\n",
+       "      <th>pfee</th>\n",
+       "      <th>mfee</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>282115524</th>\n",
+       "      <td>Algorithmi</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-09-12 00:00:00</td>\n",
+       "      <td>14 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>12,939</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>282923319</th>\n",
+       "      <td>Alleged Al</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-01-03 00:00:00</td>\n",
+       "      <td>14 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>502,108</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>25.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>279004014</th>\n",
+       "      <td>BTC vs ALT</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-10-08 00:00:00</td>\n",
+       "      <td>14 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>412,433</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276587449</th>\n",
+       "      <td>Candle Eff</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-05-21 00:00:00</td>\n",
+       "      <td>14 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>31,034</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>279212138</th>\n",
+       "      <td>Candle Eff</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>10,345</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tail (5 rows)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>base</th>\n",
+       "      <th>quote</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fee %</th>\n",
+       "      <th>price</th>\n",
+       "      <th>first_price_at</th>\n",
+       "      <th>last_price_at</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>tvl</th>\n",
+       "      <th>tvl_at</th>\n",
+       "      <th>tax</th>\n",
+       "      <th>tokensniffer_risk_score</th>\n",
+       "      <th>token_risk_score</th>\n",
+       "      <th>token_risk_flags</th>\n",
+       "      <th>pfee</th>\n",
+       "      <th>mfee</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2697765</th>\n",
+       "      <td>WETH</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>uniswap-v3</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>61812892.80</td>\n",
+       "      <td>185,394,837</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>0.0% / 0.0%</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>277847940</th>\n",
+       "      <td>Xiaohei</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2025-10-27 00:00:00</td>\n",
+       "      <td>39 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>279559638</th>\n",
+       "      <td>[ Systemic</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-03-05 00:00:00</td>\n",
+       "      <td>14 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>736,727</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>10.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>281780965</th>\n",
+       "      <td>pmalt</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2026-05-07 00:00:00</td>\n",
+       "      <td>14 days 00:00:00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>197,725</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>20.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>277155757</th>\n",
+       "      <td>pool1</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>lighter</td>\n",
+       "      <td>traded</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td><not avail></td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>979</td>\n",
+       "      <td>14 days</td>\n",
+       "      <td>- / -</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-</td>\n",
+       "      <td>30.0%</td>\n",
+       "      <td>0.0%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "from tradingstrategy.utils.token_filter import filter_for_selected_pairs\n",
+    "from tradeexecutor.analysis.pair import display_strategy_universe\n",
+    "from tradeexecutor.strategy.execution_context import notebook_execution_context\n",
+    "from tradeexecutor.strategy.pandas_trader.trading_universe_input import CreateTradingUniverseInput\n",
+    "from tradeexecutor.strategy.trading_strategy_universe import TradingStrategyUniverse, load_partial_data, load_vault_universe_with_metadata\n",
+    "from tradeexecutor.strategy.universe_model import UniverseOptions\n",
+    "from tradeexecutor.utils.notebook import display_dataframe_with_html, display_head_and_tail\n",
+    "\n",
+    "from tradeexecutor.curator import build_lighter_vault_universe\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "\n",
+    "\n",
+    "def create_trading_universe(\n",
+    "    input: CreateTradingUniverseInput,\n",
+    ") -> TradingStrategyUniverse:\n",
+    "    \"\"\"Create the release-candidate trading universe.\n",
+    "\n",
+    "    Keep the backtest trading window fixed to `Parameters.backtest_start` /\n",
+    "    `Parameters.backtest_end`, but let `required_history_period` extend the\n",
+    "    data-loading window backwards so age and other history-derived indicators\n",
+    "    can see the full pre-backtest history for the selected vaults.\n",
+    "    \"\"\"\n",
+    "    execution_context = input.execution_context\n",
+    "    client = input.client\n",
+    "    timestamp = input.timestamp\n",
+    "    parameters = input.parameters or Parameters\n",
+    "    universe_options = input.universe_options\n",
+    "\n",
+    "    debug_printer = logger.info if execution_context.live_trading else print\n",
+    "\n",
+    "    chain_id = parameters.primary_chain_id\n",
+    "    debug_printer(f'Preparing trading universe on chain {chain_id.get_name()}')\n",
+    "\n",
+    "    all_pairs_df = client.fetch_pair_universe().to_pandas()\n",
+    "    pairs_df = filter_for_selected_pairs(all_pairs_df, SUPPORTING_PAIRS)\n",
+    "    debug_printer(f'We have total {len(all_pairs_df)} pairs in dataset and going to use {len(pairs_df)} pairs for the strategy')\n",
+    "\n",
+    "    # Full, non-survivorship-biased universe: `top_n=None` still applies the\n",
+    "    # 120-vault CAGR cap baked into `CHAIN_CONFIG[9999][\"top_n\"]`, so pass an\n",
+    "    # explicit oversized `top_n` to keep every eligible Hyperliquid vault.\n",
+    "    source_vaults = build_lighter_vault_universe(\n",
+    "        min_tvl=parameters.min_tvl_usd,\n",
+    "        min_age=0.0,\n",
+    "        # Blacklist rules: drop declared single-asset leveraged directional pools.\n",
+    "        exclude_leveraged_beta=True,\n",
+    "    )\n",
+    "    vault_universe = load_vault_universe_with_metadata(client, vaults=source_vaults)\n",
+    "    vault_universe = vault_universe.limit_to_denomination(ALLOWED_VAULT_DENOMINATION_TOKENS, check_all_vaults_found=True)\n",
+    "    debug_printer(f'Loaded {vault_universe.get_vault_count()} vaults from remote vault metadata, source vaults count: {len(source_vaults)}')\n",
+    "\n",
+    "    # `load_partial_data()` now honours `required_history_period` in backtests\n",
+    "    # as a loader-window extension instead of clipping history to the trading window.\n",
+    "    dataset = load_partial_data(\n",
+    "        client=client,\n",
+    "        time_bucket=parameters.candle_time_bucket,\n",
+    "        pairs=pairs_df,\n",
+    "        execution_context=execution_context,\n",
+    "        universe_options=universe_options,\n",
+    "        liquidity=True,\n",
+    "        liquidity_time_bucket=TimeBucket.d1,\n",
+    "        lending_reserves=LENDING_RESERVES,\n",
+    "        vaults=vault_universe,\n",
+    "        vault_history_source=\"trading-strategy-website\",\n",
+    "        check_all_vaults_found=True,\n",
+    "    )\n",
+    "\n",
+    "    return TradingStrategyUniverse.create_from_dataset(\n",
+    "        dataset,\n",
+    "        reserve_asset=PREFERRED_STABLECOIN,\n",
+    "        forward_fill=True,\n",
+    "        forward_fill_until=timestamp,\n",
+    "        primary_chain=parameters.primary_chain_id,\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "universe_input = CreateTradingUniverseInput(\n",
+    "    execution_context=notebook_execution_context,\n",
+    "    client=client,\n",
+    "    timestamp=None,\n",
+    "    parameters=parameters,\n",
+    "    universe_options=UniverseOptions.from_strategy_parameters_class(Parameters, notebook_execution_context),\n",
+    "    execution_model=None,\n",
+    ")\n",
+    "\n",
+    "strategy_universe = create_trading_universe(universe_input)\n",
+    "df = display_strategy_universe(\n",
+    "    strategy_universe,\n",
+    "    sort_key='base',\n",
+    "    sort_numeric=False,\n",
+    "    limit=75,\n",
+    "    show_token_risk=True,\n",
+    "    show_tokensniffer=True,\n",
+    ")\n",
+    "display_head_and_tail(df, head_rows=5, tail_rows=5)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e694506e",
+   "metadata": {},
+   "source": [
+    "## Indicators\n",
+    "\n",
+    "- Define the same inclusion and `age_ramp` indicators used by the parent notebook."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ce55b638",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:26.619319Z",
+     "iopub.status.busy": "2026-07-24T10:38:26.619010Z",
+     "iopub.status.idle": "2026-07-24T10:38:51.403429Z",
+     "shell.execute_reply": "2026-07-24T10:38:51.402700Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "We have 20 indicators:\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using indicator cache /Users/moo/.cache/indicators/arbitrum-ethereum-lighter_1d_30p64bb4bc6_2021-05-06-2026-07-10_ff_cross_d333daffc\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:   0%|          | 0/368 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:   0%|          | 1/368 [00:11<1:07:51, 11.09s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:   1%|          | 3/368 [00:13<23:37,  3.88s/it]  "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:   2%|\u258f         | 8/368 [00:16<08:38,  1.44s/it]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:   4%|\u258d         | 14/368 [00:18<05:12,  1.13it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:   6%|\u258c         | 21/368 [00:21<03:40,  1.58it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  10%|\u2588         | 38/368 [00:21<01:19,  4.13it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  14%|\u2588\u258d        | 53/368 [00:21<00:43,  7.23it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  19%|\u2588\u2589        | 69/368 [00:21<00:25, 11.71it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  23%|\u2588\u2588\u258e       | 84/368 [00:21<00:16, 17.28it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  27%|\u2588\u2588\u258b       | 100/368 [00:22<00:10, 24.88it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  32%|\u2588\u2588\u2588\u258f      | 116/368 [00:22<00:07, 34.56it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  36%|\u2588\u2588\u2588\u258c      | 131/368 [00:22<00:05, 45.25it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  40%|\u2588\u2588\u2588\u2589      | 147/368 [00:22<00:03, 58.33it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  44%|\u2588\u2588\u2588\u2588\u258d     | 163/368 [00:22<00:02, 72.24it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  49%|\u2588\u2588\u2588\u2588\u258a     | 179/368 [00:22<00:02, 86.18it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  53%|\u2588\u2588\u2588\u2588\u2588\u258e    | 194/368 [00:22<00:01, 98.25it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  57%|\u2588\u2588\u2588\u2588\u2588\u258b    | 210/368 [00:22<00:01, 110.23it/s]/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  61%|\u2588\u2588\u2588\u2588\u2588\u2588    | 225/368 [00:22<00:01, 118.22it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 242/368 [00:23<00:00, 129.15it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/12/pbc59svn70q_9dfz1kjl3zww0000gn/T/ipykernel_28617/2801032533.py:36: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`).Please use a specific unit instead.\n",
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  70%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588   | 258/368 [00:23<00:00, 135.23it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes:  74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d  | 272/368 [00:23<00:08, 11.73it/s] "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:   0%|          | 0/368 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:   3%|\u258e         | 11/368 [00:00<00:03, 107.06it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:   7%|\u258b         | 24/368 [00:00<00:02, 120.31it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:  11%|\u2588         | 40/368 [00:00<00:02, 131.90it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:  15%|\u2588\u258c        | 56/368 [00:00<00:02, 142.43it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:  20%|\u2588\u2589        | 72/368 [00:00<00:02, 145.56it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:  25%|\u2588\u2588\u258d       | 91/368 [00:00<00:01, 140.49it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #2:  25%|\u2588\u2588\u258c       | 92/368 [00:01<00:03, 81.17it/s] "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #3:   0%|          | 0/368 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #3:   1%|          | 3/368 [00:00<00:26, 14.00it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #3:   1%|          | 3/368 [00:00<00:26, 13.97it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #4:   0%|          | 0/368 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "Calculating indicators tvl, age, tvl_inclusion_criteria, age_inclusion_criteria, trading_availability_criteria, inclusion_criteria, age_ramp_weight, cagr_score, sharpe_score, cagr_sharpe_weight, cagr_criterion, sharpe_criterion, inverse_vol_criterion, return_30d, all_criteria_included_pair_count, tvl_included_pair_count, age_included_pair_count, trading_pair_count, staleness_60, tvl_vs_peak using 8 processes, dependency group #4:   0%|          | 1/368 [00:00<00:04, 73.46it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradeexecutor.state.identifier import TradingPairIdentifier\n",
+    "from tradeexecutor.state.types import USDollarAmount\n",
+    "from tradeexecutor.strategy.execution_context import ExecutionContext\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator import IndicatorDependencyResolver, IndicatorSource\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator_decorator import IndicatorRegistry\n",
+    "from tradeexecutor.strategy.trading_strategy_universe import TradingStrategyUniverse\n",
+    "from tradeexecutor.analysis.indicator import display_indicators\n",
+    "\n",
+    "indicators = IndicatorRegistry()\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.tvl)\n",
+    "def tvl(\n",
+    "    close: pd.Series,\n",
+    "    execution_context: ExecutionContext,\n",
+    "    timestamp: pd.Timestamp,\n",
+    ") -> pd.Series:\n",
+    "    if execution_context.live_trading:\n",
+    "        from tradingstrategy.utils.forward_fill import forward_fill\n",
+    "\n",
+    "        df = pd.DataFrame({'close': close})\n",
+    "        df_ff = forward_fill(\n",
+    "            df,\n",
+    "            Parameters.candle_time_bucket.to_frequency(),\n",
+    "            columns=('close',),\n",
+    "            forward_fill_until=timestamp,\n",
+    "        )\n",
+    "        return df_ff['close']\n",
+    "\n",
+    "    return close.resample('1h').ffill()\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def age(close: pd.Series) -> pd.Series:\n",
+    "    inception = close.index[0]\n",
+    "    age_years = (close.index - inception) / pd.Timedelta(days=365.25)\n",
+    "    return pd.Series(age_years, index=close.index)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def tvl_inclusion_criteria(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data_pairs_combined(tvl)\n",
+    "    mask = series >= min_tvl_usd\n",
+    "    mask_true_values_only = mask[mask]\n",
+    "    return mask_true_values_only.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def age_inclusion_criteria(\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data_pairs_combined(age)\n",
+    "    mask = series >= min_age\n",
+    "    mask_true_values_only = mask[mask]\n",
+    "    return mask_true_values_only.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.strategy_universe)\n",
+    "def trading_availability_criteria(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    ") -> pd.Series:\n",
+    "    candle_series = strategy_universe.data_universe.candles.df['open']\n",
+    "    return candle_series.groupby(level='timestamp').apply(\n",
+    "        lambda x: x.index.get_level_values('pair_id').tolist()\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "@indicators.define(\n",
+    "    dependencies=[\n",
+    "        tvl_inclusion_criteria,\n",
+    "        trading_availability_criteria,\n",
+    "        age_inclusion_criteria,\n",
+    "    ],\n",
+    "    source=IndicatorSource.strategy_universe,\n",
+    ")\n",
+    "def inclusion_criteria(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    benchmark_pair_ids = {\n",
+    "        strategy_universe.get_pair_by_human_description(desc).internal_id\n",
+    "        for desc in SUPPORTING_PAIRS\n",
+    "    }\n",
+    "\n",
+    "    tvl_series = dependency_resolver.get_indicator_data(\n",
+    "        tvl_inclusion_criteria,\n",
+    "        parameters={'min_tvl_usd': min_tvl_usd},\n",
+    "    )\n",
+    "    trading_availability_series = dependency_resolver.get_indicator_data(trading_availability_criteria)\n",
+    "    age_series = dependency_resolver.get_indicator_data(\n",
+    "        age_inclusion_criteria,\n",
+    "        parameters={'min_age': min_age},\n",
+    "    )\n",
+    "\n",
+    "    df = pd.DataFrame(\n",
+    "        {\n",
+    "            'tvl_pair_ids': tvl_series,\n",
+    "            'trading_availability_pair_ids': trading_availability_series,\n",
+    "            'age_pair_ids': age_series,\n",
+    "        }\n",
+    "    )\n",
+    "    df = df.fillna('').apply(list)\n",
+    "\n",
+    "    def _combine(row):\n",
+    "        final_set = (\n",
+    "            set(row['tvl_pair_ids'])\n",
+    "            & set(row['trading_availability_pair_ids'])\n",
+    "            & set(row['age_pair_ids'])\n",
+    "        )\n",
+    "        return final_set - benchmark_pair_ids\n",
+    "\n",
+    "    union_criteria = df.apply(_combine, axis=1)\n",
+    "    full_index = pd.date_range(\n",
+    "        start=union_criteria.index.min(),\n",
+    "        end=union_criteria.index.max(),\n",
+    "        freq=Parameters.candle_time_bucket.to_frequency(),\n",
+    "    )\n",
+    "    return union_criteria.reindex(full_index, fill_value=[])\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def age_ramp_weight(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    "    age_ramp_period: float = 1.0,\n",
+    ") -> pd.Series:\n",
+    "    vault_age = dependency_resolver.get_indicator_data('age', pair=pair)\n",
+    "    return (vault_age / age_ramp_period).clip(upper=1.0).clip(lower=0.05)\n",
+    "\n",
+    "\n",
+    "#: CAGR of +100% (1.0) or more earns the full CAGR sub-score of 1.0.\n",
+    "CAGR_SCORE_CAP = 1.0\n",
+    "#: Annualised Sharpe of 3.0 or more earns the full Sharpe sub-score of 1.0.\n",
+    "SHARPE_SCORE_CAP = 3.0\n",
+    "#: Daily-return annualisation factor for the rolling Sharpe score.\n",
+    "TRADING_DAYS_PER_YEAR = 365.0\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def cagr_score(close: pd.Series, cagr_lookback_days: int = 180) -> pd.Series:\n",
+    "    \"\"\"Bounded trailing-CAGR sub-score in ``[0, 1]``.\n",
+    "\n",
+    "    Annualise the vault share-price return over the trailing\n",
+    "    ``cagr_lookback_days`` window and map ``0..100%`` CAGR linearly to\n",
+    "    ``0..1``, clipping negative CAGR to ``0`` and CAGR above ``+100%`` to ``1``.\n",
+    "    Timestamps with less than a full window of history are ``NaN``.\n",
+    "    \"\"\"\n",
+    "    lookback = int(cagr_lookback_days)\n",
+    "    ratio = close / close.shift(lookback)\n",
+    "    cagr = ratio.pow(TRADING_DAYS_PER_YEAR / lookback) - 1.0\n",
+    "    return (cagr / CAGR_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def sharpe_score(close: pd.Series, sharpe_lookback_days: int = 180) -> pd.Series:\n",
+    "    \"\"\"Bounded trailing-Sharpe sub-score in ``[0, 1]``.\n",
+    "\n",
+    "    Compute the annualised Sharpe ratio of daily share-price returns over the\n",
+    "    trailing ``sharpe_lookback_days`` window and map ``0..3.0`` Sharpe linearly\n",
+    "    to ``0..1``, clipping negative Sharpe to ``0`` and Sharpe above ``3.0`` to\n",
+    "    ``1``. Timestamps with less than a full window of history are ``NaN``.\n",
+    "    \"\"\"\n",
+    "    lookback = int(sharpe_lookback_days)\n",
+    "    daily_returns = close.pct_change()\n",
+    "    rolling_mean = daily_returns.rolling(lookback, min_periods=lookback).mean()\n",
+    "    rolling_std = daily_returns.rolling(lookback, min_periods=lookback).std()\n",
+    "    sharpe = (rolling_mean / rolling_std.replace(0.0, float(\"nan\"))) * (TRADING_DAYS_PER_YEAR ** 0.5)\n",
+    "    return (sharpe / SHARPE_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define(\n",
+    "    dependencies=(cagr_score, sharpe_score),\n",
+    "    source=IndicatorSource.dependencies_only_per_pair,\n",
+    ")\n",
+    "def cagr_sharpe_weight(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    "    cagr_lookback_days: int = 180,\n",
+    "    sharpe_lookback_days: int = 180,\n",
+    "    cagr_weight: float = 0.5,\n",
+    ") -> pd.Series:\n",
+    "    \"\"\"``cagr_weight x CAGR score + (1 - cagr_weight) x Sharpe score`` composite.\n",
+    "\n",
+    "    Both sub-scores are already bounded to ``[0, 1]`` so the blend is also in\n",
+    "    ``[0, 1]`` for any ``cagr_weight`` in ``[0, 1]``. A vault must have enough\n",
+    "    history to compute *both* sub-scores for the timestamp (i.e.\n",
+    "    ``max(cagr_lookback_days, sharpe_lookback_days)`` days); otherwise the\n",
+    "    composite is ``NaN`` and the decision function treats the vault as an\n",
+    "    unscored, lowest-priority candidate.\n",
+    "    \"\"\"\n",
+    "    cagr_component = dependency_resolver.get_indicator_data(\n",
+    "        \"cagr_score\", pair=pair, parameters={\"cagr_lookback_days\": cagr_lookback_days},\n",
+    "    )\n",
+    "    sharpe_component = dependency_resolver.get_indicator_data(\n",
+    "        \"sharpe_score\", pair=pair, parameters={\"sharpe_lookback_days\": sharpe_lookback_days},\n",
+    "    )\n",
+    "    return cagr_weight * cagr_component + (1.0 - cagr_weight) * sharpe_component\n",
+    "\n",
+    "\n",
+    "#: Fixed trailing window (days) for the weighting/selection criteria. The 60-day hard floor\n",
+    "#: means a vault needs at least 60 daily observations before it gets a criterion value; with\n",
+    "#: fewer than 60 days every criterion is NaN (no two-week-history shortcut).\n",
+    "CRITERION_LOOKBACK_DAYS = 60\n",
+    "#: Floor on daily volatility so the inverse-vol criterion cannot explode for near-flat series.\n",
+    "VOL_FLOOR = 1e-4\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def cagr_criterion(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Bounded 60-day trailing-CAGR criterion in ``[0, 1]``; NaN below 60 days.\"\"\"\n",
+    "    lb = CRITERION_LOOKBACK_DAYS\n",
+    "    ratio = close / close.shift(lb)\n",
+    "    cagr = ratio.pow(TRADING_DAYS_PER_YEAR / lb) - 1.0\n",
+    "    return (cagr / CAGR_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def sharpe_criterion(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Bounded 60-day trailing-Sharpe criterion in ``[0, 1]``; NaN below 60 days.\"\"\"\n",
+    "    lb = CRITERION_LOOKBACK_DAYS\n",
+    "    r = close.pct_change()\n",
+    "    mean = r.rolling(lb, min_periods=lb).mean()\n",
+    "    std = r.rolling(lb, min_periods=lb).std()\n",
+    "    sharpe = (mean / std.replace(0.0, float(\"nan\"))) * (TRADING_DAYS_PER_YEAR ** 0.5)\n",
+    "    return (sharpe / SHARPE_SCORE_CAP).clip(lower=0.0, upper=1.0)\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def inverse_vol_criterion(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Inverse 60-day daily-return volatility (higher = calmer); NaN below 60 days.\n",
+    "\n",
+    "    Left unbounded (unlike the 0-1 scores) because it is only ever used as a relative\n",
+    "    ranking/weight and is normalised downstream; the vol floor keeps it finite.\n",
+    "    \"\"\"\n",
+    "    lb = CRITERION_LOOKBACK_DAYS\n",
+    "    r = close.pct_change()\n",
+    "    vol = r.rolling(lb, min_periods=lb).std()\n",
+    "    return 1.0 / vol.clip(lower=VOL_FLOOR)\n",
+    "\n",
+    "\n",
+    "#: Short (30-day) trailing return used only as an eligibility GATE, not for ranking. It is\n",
+    "#: deliberately faster than the 60-day ranking floor so a vault that has started falling is\n",
+    "#: dropped (and hence sold) before its slow 360/180 composite score decays. NaN below 30 days.\n",
+    "GATE_RETURN_DAYS = 30\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def return_30d(close: pd.Series) -> pd.Series:\n",
+    "    \"\"\"Raw trailing 30-day return (can be negative); NaN below 30 days.\"\"\"\n",
+    "    return close / close.shift(GATE_RETURN_DAYS) - 1.0\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def all_criteria_included_pair_count(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_tvl_usd\": min_tvl_usd,\n",
+    "            \"min_age\": min_age,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl_inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def tvl_included_pair_count(\n",
+    "    min_tvl_usd: USDollarAmount,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"tvl_inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_tvl_usd\": min_tvl_usd,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(age_inclusion_criteria,), source=IndicatorSource.dependencies_only_universe)\n",
+    "def age_included_pair_count(\n",
+    "    min_age: float,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    series = dependency_resolver.get_indicator_data(\n",
+    "        \"age_inclusion_criteria\",\n",
+    "        parameters={\n",
+    "            \"min_age\": min_age,\n",
+    "        },\n",
+    "    )\n",
+    "    return series.apply(len)\n",
+    "\n",
+    "\n",
+    "@indicators.define(source=IndicatorSource.strategy_universe)\n",
+    "def trading_pair_count(\n",
+    "    strategy_universe: TradingStrategyUniverse,\n",
+    ") -> pd.Series:\n",
+    "    benchmark_pair_ids = {\n",
+    "        strategy_universe.get_pair_by_human_description(desc).internal_id\n",
+    "        for desc in SUPPORTING_PAIRS\n",
+    "    }\n",
+    "    series = strategy_universe.data_universe.candles.df[\"open\"]\n",
+    "    swap_index = series.index.swaplevel(0, 1)\n",
+    "\n",
+    "    seen_pairs = set()\n",
+    "    seen_data = {}\n",
+    "    for timestamp, pair_id in swap_index:\n",
+    "        if pair_id in benchmark_pair_ids:\n",
+    "            continue\n",
+    "        seen_pairs.add(pair_id)\n",
+    "        seen_data[timestamp] = len(seen_pairs)\n",
+    "\n",
+    "    return pd.Series(seen_data.values(), index=list(seen_data.keys()))\n",
+    "\n",
+    "\n",
+    "@indicators.define()\n",
+    "def staleness_60(close: pd.Series, staleness_window_days: int = 60) -> pd.Series:\n",
+    "    \"\"\"Fraction of zero daily NAV returns over the trailing window.\n",
+    "\n",
+    "    A stale-mark proxy: Lighter zombie pools keep printing unchanged share\n",
+    "    prices, so a high zero-return fraction flags a pool whose marks are no\n",
+    "    longer informative. Point-in-time by construction (trailing rolling mean).\n",
+    "    \"\"\"\n",
+    "    daily = close.resample('1D').last()\n",
+    "    zero = (daily.pct_change().abs() < 1e-9).astype(float)\n",
+    "    return zero.rolling(int(staleness_window_days), min_periods=20).mean()\n",
+    "\n",
+    "\n",
+    "@indicators.define(dependencies=(tvl,), source=IndicatorSource.dependencies_only_per_pair)\n",
+    "def tvl_vs_peak(\n",
+    "    pair: TradingPairIdentifier,\n",
+    "    dependency_resolver: IndicatorDependencyResolver,\n",
+    ") -> pd.Series:\n",
+    "    \"\"\"TVL as a fraction of its running peak \u2014 the TVL-collapse detector.\n",
+    "\n",
+    "    Uses the running (expanding) maximum so the value at time t only sees\n",
+    "    history up to t. TVL collapse accompanied every historical Lighter pool\n",
+    "    blow-up, and holding through the post-collapse grind was where most of\n",
+    "    the damage accrued.\n",
+    "    \"\"\"\n",
+    "    series = dependency_resolver.get_indicator_data('tvl', pair=pair)\n",
+    "    peak = series.cummax()\n",
+    "    return series / peak.replace(0.0, float('nan'))\n",
+    "\n",
+    "\n",
+    "display_indicators(indicators)\n",
+    "\n",
+    "from tradeexecutor.strategy.pandas_trader.indicator import calculate_and_load_indicators_inline\n",
+    "\n",
+    "# Precompute every indicator once so each weighting trial reuses the same cached panel.\n",
+    "indicator_data = calculate_and_load_indicators_inline(\n",
+    "    strategy_universe=strategy_universe,\n",
+    "    create_indicators=indicators.create_indicators,\n",
+    "    parameters=parameters,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37c2ab0a",
+   "metadata": {},
+   "source": [
+    "# Time range for backtest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e54fd4f2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:51.443234Z",
+     "iopub.status.busy": "2026-07-24T10:38:51.442485Z",
+     "iopub.status.idle": "2026-07-24T10:38:51.445746Z",
+     "shell.execute_reply": "2026-07-24T10:38:51.445189Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time range is 2025-08-01 00:00:00 - 2026-07-10 00:00:00\n"
+     ]
+    }
+   ],
+   "source": [
+    "backtest_start = Parameters.backtest_start\n",
+    "backtest_end = Parameters.backtest_end\n",
+    "print(f'Time range is {backtest_start} - {backtest_end}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8225a402",
+   "metadata": {},
+   "source": [
+    "# Weighting / gate factory\n",
+    "\n",
+    "The same factory as notebook 25 \u2014 selection, weighting, and the momentum gate."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ec882da6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:51.485871Z",
+     "iopub.status.busy": "2026-07-24T10:38:51.485749Z",
+     "iopub.status.idle": "2026-07-24T10:38:51.533285Z",
+     "shell.execute_reply": "2026-07-24T10:38:51.532688Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from tradeexecutor.exchange_account.allocation import (\n",
+    "    calculate_portfolio_target_value,\n",
+    "    get_redeemable_portfolio_capital,\n",
+    ")\n",
+    "from tradeexecutor.state.trade import TradeExecution\n",
+    "from tradeexecutor.statistics.key_metric import (\n",
+    "    calculate_cagr,\n",
+    "    calculate_max_drawdown,\n",
+    "    calculate_sharpe,\n",
+    "    calculate_sortino,\n",
+    ")\n",
+    "from tradeexecutor.strategy.alpha_model import AlphaModel\n",
+    "from tradeexecutor.strategy.execution_context import ExecutionMode\n",
+    "from tradeexecutor.strategy.pandas_trader.strategy_input import StrategyInput\n",
+    "from tradeexecutor.strategy.tvl_size_risk import USDTVLSizeRiskModel\n",
+    "from tradeexecutor.strategy.weighting import weight_equal, weight_passthrouh\n",
+    "from tradeexecutor.utils.dedent import dedent_any\n",
+    "from tradeexecutor.visual.equity_curve import calculate_equity_curve, calculate_returns\n",
+    "from tradeexecutor.curator import is_quarantined\n",
+    "\n",
+    "\n",
+    "def _extract_optional_int(text: str, label: str) -> int:\n",
+    "    match = re.search(rf\"{re.escape(label)}: ([0-9]+)\", text)\n",
+    "    return int(match.group(1)) if match else 0\n",
+    "\n",
+    "\n",
+    "def position_duration_summary(state) -> dict:\n",
+    "    positions = [position for position in state.portfolio.get_all_positions() if not position.is_credit_supply()]\n",
+    "    durations = []\n",
+    "    for position in positions:\n",
+    "        closed_at = position.closed_at if position.closed_at is not None else Parameters.backtest_end\n",
+    "        durations.append((closed_at - position.opened_at).total_seconds() / 86400.0)\n",
+    "    duration_series = pd.Series(durations, dtype='float64')\n",
+    "    return {\n",
+    "        'position_count': len(positions),\n",
+    "        'positions_lt_3d': int((duration_series < 3).sum()),\n",
+    "        'share_positions_lt_3d': float((duration_series < 3).mean()) if len(duration_series) else float('nan'),\n",
+    "        'median_position_days': float(duration_series.median()) if len(duration_series) else float('nan'),\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "def extract_selection_diagnostics_df(state) -> pd.DataFrame:\n",
+    "    rows = []\n",
+    "    for unix_ts, messages in sorted(state.visualisation.messages.items(), key=lambda item: item[0]):\n",
+    "        if not messages:\n",
+    "            continue\n",
+    "        message = '\\n'.join(messages)\n",
+    "        rows.append(\n",
+    "            {\n",
+    "                'timestamp': datetime.datetime.utcfromtimestamp(unix_ts),\n",
+    "                'open_positions': _extract_optional_int(message, 'Open/about to open positions'),\n",
+    "                'candidate_signals_created': _extract_optional_int(message, 'Candidate signals created'),\n",
+    "                'selected_survivor_signals': _extract_optional_int(message, 'Selected survivor signals'),\n",
+    "                'signals_blocked_by_minimum_hold': _extract_optional_int(message, 'Signals blocked by minimum hold'),\n",
+    "            }\n",
+    "        )\n",
+    "    return pd.DataFrame(rows).set_index('timestamp')\n",
+    "\n",
+    "\n",
+    "def minimum_hold_pair_ids(input: StrategyInput, included_pair_ids: set[int]) -> set[int]:\n",
+    "    current_dt = input.timestamp.to_pydatetime() if hasattr(input.timestamp, 'to_pydatetime') else input.timestamp\n",
+    "    threshold = datetime.timedelta(days=input.parameters.minimum_hold_days)\n",
+    "    held = set()\n",
+    "    for position in input.state.portfolio.get_open_positions():\n",
+    "        pair = position.pair\n",
+    "        if pair.is_credit_supply() or current_dt - position.opened_at >= threshold:\n",
+    "            continue\n",
+    "        if pair.internal_id not in included_pair_ids:\n",
+    "            continue\n",
+    "        if is_quarantined(pair.pool_address, input.timestamp) or not input.state.is_good_pair(pair):\n",
+    "            continue\n",
+    "        held.add(pair.internal_id)\n",
+    "    return held\n",
+    "\n",
+    "\n",
+    "#: Map a momentum-gate name to its indicator; the gate excludes (and therefore sells) any\n",
+    "#: vault whose gate value is <= 0, i.e. currently falling / non-positive risk-adjusted return.\n",
+    "GATE_INDICATOR = {\n",
+    "    'none': None,\n",
+    "    'ret30': 'return_30d',        # trailing 30-day return > 0\n",
+    "    'sharpe60': 'sharpe_criterion',  # positive trailing 60-day Sharpe (score > 0)\n",
+    "}\n",
+    "\n",
+    "#: Map a criterion name to the indicator that provides its per-vault value.\n",
+    "CRITERION_INDICATOR = {\n",
+    "    'cagr': 'cagr_criterion',\n",
+    "    'sharpe': 'sharpe_criterion',\n",
+    "    'inverse_vol': 'inverse_vol_criterion',\n",
+    "    'composite': 'cagr_sharpe_weight',\n",
+    "}\n",
+    "\n",
+    "\n",
+    "def _finite_or_none(value):\n",
+    "    \"\"\"Return a float, or None if the indicator value is missing/NaN.\"\"\"\n",
+    "    if value is None:\n",
+    "        return None\n",
+    "    value = float(value)\n",
+    "    return value if value == value else None\n",
+    "\n",
+    "\n",
+    "def make_decide_trades(trial: dict):\n",
+    "    \"\"\"Build a decide_trades closure for one weighting-matrix trial.\n",
+    "\n",
+    "    - ``selection_mode``: 'ranked' (top-N by the composite score) or 'non_ranked'\n",
+    "      (top-N by the weighting criterion itself).\n",
+    "    - ``weighting``: 'equal' (1/N) or 'linear' (weight proportional to the criterion).\n",
+    "    - ``criterion``: 'cagr' | 'sharpe' | 'inverse_vol' | 'composite'.\n",
+    "    - ``require_enough_history``: if True, drop candidates with < history_floor_days of\n",
+    "      history; if False, keep them (their criterion is NaN, so they fall back to a zero\n",
+    "      signal and can only fill an equal-weight basket at the very bottom of the ranking).\n",
+    "    \"\"\"\n",
+    "    selection_mode = trial['selection_mode']\n",
+    "    weighting = trial['weighting']\n",
+    "    criterion_ind = CRITERION_INDICATOR[trial['criterion']]\n",
+    "    require_history = bool(trial['require_enough_history'])\n",
+    "    gate_indicator = GATE_INDICATOR[trial.get('gate', 'none')]\n",
+    "\n",
+    "    def decide_trades(input: StrategyInput) -> list[TradeExecution]:\n",
+    "        parameters = input.parameters\n",
+    "        max_assets_in_portfolio = int(parameters.max_assets_in_portfolio)\n",
+    "        position_manager = input.get_position_manager()\n",
+    "        state = input.state\n",
+    "        timestamp = input.timestamp\n",
+    "        indicators = input.indicators\n",
+    "        strategy_universe = input.strategy_universe\n",
+    "\n",
+    "        portfolio = position_manager.get_current_portfolio()\n",
+    "        equity = portfolio.get_total_equity()\n",
+    "        if input.execution_context.mode == ExecutionMode.backtesting and equity < parameters.initial_cash * 0.10:\n",
+    "            return []\n",
+    "\n",
+    "        min_history_years = parameters.history_floor_days / 365.25\n",
+    "        included_pairs = indicators.get_indicator_value('inclusion_criteria', na_conversion=False)\n",
+    "        included_pairs = [] if included_pairs is None else list(included_pairs)\n",
+    "\n",
+    "        candidates = []\n",
+    "        for pair_id in included_pairs:\n",
+    "            pair = strategy_universe.get_pair_by_id(pair_id)\n",
+    "            if not state.is_good_pair(pair) or is_quarantined(pair.pool_address, timestamp):\n",
+    "                continue\n",
+    "\n",
+    "            age_years = _finite_or_none(indicators.get_indicator_value('age', pair=pair))\n",
+    "            has_history = age_years is not None and age_years >= min_history_years\n",
+    "            if require_history and not has_history:\n",
+    "                continue\n",
+    "\n",
+    "            # Momentum gate: drop (and thus exit) any vault that is currently falling. A held\n",
+    "            # vault failing the gate leaves the candidate set, so the alpha model sells it.\n",
+    "            if gate_indicator is not None:\n",
+    "                gate_value = _finite_or_none(indicators.get_indicator_value(gate_indicator, pair=pair))\n",
+    "                if gate_value is None or gate_value <= 0.0:\n",
+    "                    continue\n",
+    "\n",
+    "            composite = _finite_or_none(indicators.get_indicator_value('cagr_sharpe_weight', pair=pair))\n",
+    "            criterion = _finite_or_none(indicators.get_indicator_value(criterion_ind, pair=pair))\n",
+    "\n",
+    "            # Selection key: composite for ranked, the criterion for non-ranked.\n",
+    "            selection_value = composite if selection_mode == 'ranked' else criterion\n",
+    "            selection_value = selection_value if selection_value is not None else 0.0\n",
+    "            # Weighting value: always the criterion (only used when weighting == 'linear').\n",
+    "            weight_value = criterion if criterion is not None else 0.0\n",
+    "            candidates.append((pair_id, pair, selection_value, weight_value))\n",
+    "\n",
+    "        if not candidates:\n",
+    "            return []\n",
+    "\n",
+    "        ordered = sorted(candidates, key=lambda item: (-item[2], item[0]))\n",
+    "        candidate_ids = {pair_id for pair_id, _p, _s, _w in candidates}\n",
+    "        held_ids = minimum_hold_pair_ids(input, candidate_ids)\n",
+    "        selected_ids = list(sorted(held_ids))\n",
+    "        selected_ids.extend(pair_id for pair_id, _p, _s, _w in ordered if pair_id not in held_ids)\n",
+    "        selected_ids = selected_ids[:max_assets_in_portfolio]\n",
+    "        by_id = {pair_id: (pair, sel, wgt) for pair_id, pair, sel, wgt in candidates}\n",
+    "\n",
+    "        alpha_model = AlphaModel(\n",
+    "            timestamp,\n",
+    "            close_position_weight_epsilon=parameters.min_portfolio_weight_pct,\n",
+    "        )\n",
+    "        for pair_id in selected_ids:\n",
+    "            pair, _sel, wgt = by_id[pair_id]\n",
+    "            # For linear weighting the signal IS the criterion value; for equal weighting the\n",
+    "            # magnitude is irrelevant (weight_equal ignores it) so use 1.0 to clear the threshold.\n",
+    "            alpha_model.set_signal(pair, wgt if weighting == 'linear' else 1.0)\n",
+    "        alpha_model.select_top_signals(count=len(selected_ids))\n",
+    "        alpha_model.assign_weights(method=weight_passthrouh if weighting == 'linear' else weight_equal)\n",
+    "\n",
+    "        portfolio_target_value = calculate_portfolio_target_value(position_manager, parameters.allocation_pct)\n",
+    "        size_risk_model = USDTVLSizeRiskModel(\n",
+    "            pricing_model=input.pricing_model,\n",
+    "            per_position_cap=float(parameters.per_position_cap_of_pool_pct),\n",
+    "        )\n",
+    "        alpha_model.normalise_weights(\n",
+    "            investable_equity=portfolio_target_value,\n",
+    "            size_risk_model=size_risk_model,\n",
+    "            max_weight=float(parameters.max_concentration_pct),\n",
+    "            max_positions=max_assets_in_portfolio,\n",
+    "            waterfall=False,\n",
+    "        )\n",
+    "        alpha_model.update_old_weights(state.portfolio, ignore_credit=False)\n",
+    "        alpha_model.calculate_target_positions(position_manager)\n",
+    "        trades = alpha_model.generate_rebalance_trades_and_triggers(\n",
+    "            position_manager,\n",
+    "            min_trade_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "            individual_rebalance_min_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "            sell_rebalance_min_threshold=parameters.sell_rebalance_min_threshold_usd,\n",
+    "            execution_context=input.execution_context,\n",
+    "        )\n",
+    "        return trades\n",
+    "\n",
+    "    return decide_trades\n",
+    "\n",
+    "\n",
+    "\n",
+    "#: The LLP (Lighter Liquidity Pool) \u2014 the protocol's own market-making and\n",
+    "#: insurance pool, the ex-ante-identifiable anchor of this universe.\n",
+    "LLP_POOL_ADDRESS = 'lighter-pool-281474976710654'\n",
+    "\n",
+    "\n",
+    "def make_llp_core_decide_trades(satellite_budget: float, max_weight: float):\n",
+    "    \"\"\"Core/satellite allocator: LLP anchor plus hygiene-gated inverse-vol satellites.\n",
+    "\n",
+    "    - The LLP always receives the core signal ``1 - satellite_budget``; it is\n",
+    "      exempt from the hygiene rule and the damage gate (it is the anchor, and\n",
+    "      both are satellite-risk controls).\n",
+    "    - Satellites are every non-LLP pool passing the point-in-time hygiene rule\n",
+    "      (live TVL, fresh marks, no TVL collapse) and the trailing-30d-return\n",
+    "      damage gate, weighted by inverse volatility inside ``satellite_budget``\n",
+    "      and capped at ``satellite_max_weight`` each. There is no trailing-return\n",
+    "      selection: measured rank IC on this universe is ~0.\n",
+    "    - ``normalise_weights()`` rescales raw signals to 100%, so when few\n",
+    "      satellites qualify the core absorbs the slack up to ``max_weight`` and\n",
+    "      the remainder stays in cash.\n",
+    "    - ``satellite_budget=0`` degenerates to the 100% LLP benchmark.\n",
+    "\n",
+    "    :param satellite_budget:\n",
+    "        Fraction of the raw signal budget shared by the satellites.\n",
+    "\n",
+    "    :param max_weight:\n",
+    "        Concentration cap passed to weight normalisation; 1.0 for the\n",
+    "        LLP-only benchmark.\n",
+    "    \"\"\"\n",
+    "\n",
+    "    def decide_trades(input: StrategyInput) -> list[TradeExecution]:\n",
+    "        parameters = input.parameters\n",
+    "        position_manager = input.get_position_manager()\n",
+    "        state = input.state\n",
+    "        timestamp = input.timestamp\n",
+    "        indicators = input.indicators\n",
+    "        strategy_universe = input.strategy_universe\n",
+    "\n",
+    "        portfolio = position_manager.get_current_portfolio()\n",
+    "        equity = portfolio.get_total_equity()\n",
+    "        if input.execution_context.mode == ExecutionMode.backtesting and equity < parameters.initial_cash * 0.10:\n",
+    "            return []\n",
+    "\n",
+    "        included_pairs = indicators.get_indicator_value('inclusion_criteria', na_conversion=False)\n",
+    "        included_pairs = [] if included_pairs is None else list(included_pairs)\n",
+    "\n",
+    "        min_history_years = parameters.history_floor_days / 365.25\n",
+    "        llp_pair = None\n",
+    "        satellites = []\n",
+    "        for pair_id in included_pairs:\n",
+    "            pair = strategy_universe.get_pair_by_id(pair_id)\n",
+    "            if not state.is_good_pair(pair) or is_quarantined(pair.pool_address, timestamp):\n",
+    "                continue\n",
+    "\n",
+    "            if (pair.pool_address or '').lower() == LLP_POOL_ADDRESS:\n",
+    "                llp_pair = pair\n",
+    "                continue\n",
+    "\n",
+    "            if satellite_budget <= 0.0:\n",
+    "                continue\n",
+    "\n",
+    "            # Point-in-time hygiene rule: live TVL, fresh marks, no TVL collapse.\n",
+    "            tvl_now = _finite_or_none(indicators.get_indicator_value('tvl', pair=pair))\n",
+    "            if tvl_now is None or tvl_now < parameters.healthy_min_tvl_usd:\n",
+    "                continue\n",
+    "            stale = _finite_or_none(indicators.get_indicator_value('staleness_60', pair=pair))\n",
+    "            if stale is None or stale >= parameters.max_stale_fraction:\n",
+    "                continue\n",
+    "            vs_peak = _finite_or_none(indicators.get_indicator_value('tvl_vs_peak', pair=pair))\n",
+    "            if vs_peak is None or vs_peak < parameters.tvl_collapse_floor:\n",
+    "                continue\n",
+    "            age_years = _finite_or_none(indicators.get_indicator_value('age', pair=pair))\n",
+    "            if age_years is None or age_years < min_history_years:\n",
+    "                continue\n",
+    "\n",
+    "            # Damage gate: pools in drawdown repeat disasters (26% vs 9%), so a\n",
+    "            # non-positive trailing 30-day return exits the satellite.\n",
+    "            ret30 = _finite_or_none(indicators.get_indicator_value('return_30d', pair=pair))\n",
+    "            if ret30 is None or ret30 <= 0.0:\n",
+    "                continue\n",
+    "\n",
+    "            ivw = _finite_or_none(indicators.get_indicator_value('inverse_vol_criterion', pair=pair))\n",
+    "            if ivw is None or ivw <= 0.0:\n",
+    "                continue\n",
+    "            satellites.append((pair_id, pair, ivw))\n",
+    "\n",
+    "        if llp_pair is None and not satellites:\n",
+    "            return []\n",
+    "\n",
+    "        alpha_model = AlphaModel(\n",
+    "            timestamp,\n",
+    "            close_position_weight_epsilon=parameters.min_portfolio_weight_pct,\n",
+    "        )\n",
+    "        # Build satellite raw weights first, each hard-capped. The core then\n",
+    "        # absorbs the unused satellite budget so the raw signals sum to exactly\n",
+    "        # 1.0: weight normalisation cannot redistribute a capped core's excess\n",
+    "        # into a lone satellite (the failure mode that put a collapsing pool at\n",
+    "        # 3x its cap), and un-deployed budget earns LLP yield instead of cash.\n",
+    "        satellite_raws = {}\n",
+    "        if satellites:\n",
+    "            ivw_sum = sum(ivw for _pid, _p, ivw in satellites)\n",
+    "            max_satellites = int(parameters.max_assets_in_portfolio) - 1\n",
+    "            for _pid, pair, ivw in sorted(satellites, key=lambda item: -item[2])[:max_satellites]:\n",
+    "                raw = satellite_budget * ivw / ivw_sum\n",
+    "                satellite_raws[pair] = min(raw, float(parameters.satellite_max_weight))\n",
+    "        if llp_pair is not None:\n",
+    "            alpha_model.set_signal(llp_pair, 1.0 - sum(satellite_raws.values()))\n",
+    "        for pair, raw in satellite_raws.items():\n",
+    "            alpha_model.set_signal(pair, raw)\n",
+    "\n",
+    "        alpha_model.select_top_signals(count=int(parameters.max_assets_in_portfolio))\n",
+    "        alpha_model.assign_weights(method=weight_passthrouh)\n",
+    "\n",
+    "        portfolio_target_value = calculate_portfolio_target_value(position_manager, parameters.allocation_pct)\n",
+    "        size_risk_model = USDTVLSizeRiskModel(\n",
+    "            pricing_model=input.pricing_model,\n",
+    "            per_position_cap=float(parameters.per_position_cap_of_pool_pct),\n",
+    "        )\n",
+    "        alpha_model.normalise_weights(\n",
+    "            investable_equity=portfolio_target_value,\n",
+    "            size_risk_model=size_risk_model,\n",
+    "            max_weight=float(max_weight),\n",
+    "            max_positions=int(parameters.max_assets_in_portfolio),\n",
+    "            waterfall=False,\n",
+    "        )\n",
+    "        alpha_model.update_old_weights(state.portfolio, ignore_credit=False)\n",
+    "        alpha_model.calculate_target_positions(position_manager)\n",
+    "        trades = alpha_model.generate_rebalance_trades_and_triggers(\n",
+    "            position_manager,\n",
+    "            min_trade_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "            individual_rebalance_min_threshold=parameters.individual_rebalance_min_threshold_usd,\n",
+    "            sell_rebalance_min_threshold=parameters.sell_rebalance_min_threshold_usd,\n",
+    "            execution_context=input.execution_context,\n",
+    "        )\n",
+    "        return trades\n",
+    "\n",
+    "    return decide_trades"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a5130cc",
+   "metadata": {},
+   "source": [
+    "# Run both strategies\n",
+    "\n",
+    "Run the two compared configurations at the 5-vault / pool-0.20 tight-cap regime and set up the chart renderers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "ab4bfae9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:51.573162Z",
+     "iopub.status.busy": "2026-07-24T10:38:51.572856Z",
+     "iopub.status.idle": "2026-07-24T10:38:56.390691Z",
+     "shell.execute_reply": "2026-07-24T10:38:56.390097Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LLP core + healthy satellites  final $28,544  max DD -12.5%\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100% LLP benchmark             final $29,308  max DD  -4.8%\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tradeexecutor.backtest.backtest_runner import run_backtest_inline\n",
+    "from tradeexecutor.strategy.cycle import CycleDuration\n",
+    "from tradeexecutor.visual.equity_curve import calculate_equity_curve, calculate_returns\n",
+    "from plotly.graph_objects import Figure\n",
+    "from tradeexecutor.strategy.chart.definition import ChartRegistry, ChartKind, ChartInput\n",
+    "from tradeexecutor.strategy.chart.renderer import ChartBacktestRenderingSetup\n",
+    "from tradeexecutor.strategy.chart.standard.weight import equity_curve_by_asset, weight_allocation_statistics\n",
+    "\n",
+    "#: The two strategies to compare in detail: the core/satellite construction\n",
+    "#: and the passive benchmark it must beat.\n",
+    "STRATEGIES = {\n",
+    "    'LLP core + healthy satellites': make_llp_core_decide_trades(\n",
+    "        satellite_budget=1.0 - Parameters.llp_core_weight,\n",
+    "        max_weight=Parameters.max_concentration_pct,\n",
+    "    ),\n",
+    "    '100% LLP benchmark': make_llp_core_decide_trades(\n",
+    "        satellite_budget=0.0,\n",
+    "        max_weight=1.0,\n",
+    "    ),\n",
+    "}\n",
+    "\n",
+    "states = {}\n",
+    "for name, trial_decide_trades in STRATEGIES.items():\n",
+    "    result = run_backtest_inline(\n",
+    "        name=name,\n",
+    "        engine_version='0.5',\n",
+    "        decide_trades=trial_decide_trades,\n",
+    "        indicator_combinations=indicator_data.indicator_combinations,\n",
+    "        cycle_duration=parameters.cycle_duration,\n",
+    "        client=client,\n",
+    "        universe=strategy_universe,\n",
+    "        parameters=parameters,\n",
+    "        max_workers=1,\n",
+    "        start_at=Parameters.backtest_start,\n",
+    "        end_at=Parameters.backtest_end,\n",
+    "    )\n",
+    "    states[name] = result.state\n",
+    "    curve = calculate_equity_curve(result.state)\n",
+    "    max_dd = float((curve / curve.cummax() - 1.0).min())\n",
+    "    print(f\"{name:30s} final ${curve.iloc[-1]:,.0f}  max DD {max_dd*100:5.1f}%\")\n",
+    "\n",
+    "# Chart renderers (per strategy) for the asset-weight breakdowns.\n",
+    "BENCHMARK_PAIRS = SUPPORTING_PAIRS\n",
+    "charts = ChartRegistry(default_benchmark_pairs=BENCHMARK_PAIRS)\n",
+    "charts.register(equity_curve_by_asset, ChartKind.state_all_pairs)\n",
+    "charts.register(weight_allocation_statistics, ChartKind.state_all_pairs)\n",
+    "\n",
+    "renderers = {\n",
+    "    name: ChartBacktestRenderingSetup(\n",
+    "        registry=charts,\n",
+    "        strategy_input_indicators=indicator_data,\n",
+    "        state=st,\n",
+    "        backtest_start_at=Parameters.backtest_start,\n",
+    "        backtest_end_at=Parameters.backtest_end,\n",
+    "    )\n",
+    "    for name, st in states.items()\n",
+    "}\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fdb2006",
+   "metadata": {},
+   "source": [
+    "# Performance metrics \u2014 side by side"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "564c5d32",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:56.429536Z",
+     "iopub.status.busy": "2026-07-24T10:38:56.429231Z",
+     "iopub.status.idle": "2026-07-24T10:38:59.934686Z",
+     "shell.execute_reply": "2026-07-24T10:38:59.934179Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>LLP core + healthy satellites</th>\n",
+       "      <th>100% LLP benchmark</th>\n",
+       "      <th>BTC (buy &amp; hold)</th>\n",
+       "      <th>ETH (buy &amp; hold)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Start Period</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>2025-07-28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>End Period</th>\n",
+       "      <td>2026-07-06</td>\n",
+       "      <td>2026-07-06</td>\n",
+       "      <td>2026-07-06</td>\n",
+       "      <td>2026-07-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Risk-Free Rate</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time in Market</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.98</td>\n",
+       "      <td>0.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cumulative Return</th>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>-0.44</td>\n",
+       "      <td>-0.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CAGR\ufe6a</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sharpe</th>\n",
+       "      <td>1.16</td>\n",
+       "      <td>2.33</td>\n",
+       "      <td>-1.18</td>\n",
+       "      <td>-0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Prob. Sharpe Ratio</th>\n",
+       "      <td>0.85</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smart Sharpe</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>-1.18</td>\n",
+       "      <td>-0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sortino</th>\n",
+       "      <td>1.58</td>\n",
+       "      <td>3.43</td>\n",
+       "      <td>-1.57</td>\n",
+       "      <td>-1.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smart Sortino</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>-1.56</td>\n",
+       "      <td>-1.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sortino/\u221a2</th>\n",
+       "      <td>1.11</td>\n",
+       "      <td>2.42</td>\n",
+       "      <td>-1.11</td>\n",
+       "      <td>-0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smart Sortino/\u221a2</th>\n",
+       "      <td>1.11</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>-1.11</td>\n",
+       "      <td>-0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Omega</th>\n",
+       "      <td>1.63</td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>1.63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max Drawdown</th>\n",
+       "      <td>-0.12</td>\n",
+       "      <td>-0.05</td>\n",
+       "      <td>-0.53</td>\n",
+       "      <td>-0.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Longest DD Days</th>\n",
+       "      <td>224</td>\n",
+       "      <td>119</td>\n",
+       "      <td>273</td>\n",
+       "      <td>318</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Volatility (ann.)</th>\n",
+       "      <td>0.13</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.44</td>\n",
+       "      <td>0.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Calmar</th>\n",
+       "      <td>1.22</td>\n",
+       "      <td>3.81</td>\n",
+       "      <td>-0.86</td>\n",
+       "      <td>-0.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Skew</th>\n",
+       "      <td>-2.7</td>\n",
+       "      <td>-3.2</td>\n",
+       "      <td>-0.24</td>\n",
+       "      <td>0.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kurtosis</th>\n",
+       "      <td>45.69</td>\n",
+       "      <td>93.88</td>\n",
+       "      <td>6.11</td>\n",
+       "      <td>2.79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Daily</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Monthly</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>-0.04</td>\n",
+       "      <td>-0.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Yearly</th>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>-0.25</td>\n",
+       "      <td>-0.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kelly Criterion</th>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Risk of Ruin</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Daily Value-at-Risk</th>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.04</td>\n",
+       "      <td>-0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Expected Shortfall (cVaR)</th>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.04</td>\n",
+       "      <td>-0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max Consecutive Wins</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max Consecutive Losses</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gain/Pain Ratio</th>\n",
+       "      <td>0.63</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>-0.16</td>\n",
+       "      <td>-0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gain/Pain (1M)</th>\n",
+       "      <td>1.08</td>\n",
+       "      <td>6.02</td>\n",
+       "      <td>-0.62</td>\n",
+       "      <td>-0.44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Payoff Ratio</th>\n",
+       "      <td>1.13</td>\n",
+       "      <td>0.35</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>1.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit Factor</th>\n",
+       "      <td>1.63</td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>0.84</td>\n",
+       "      <td>0.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Common Sense Ratio</th>\n",
+       "      <td>16.03</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>1.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CPC Index</th>\n",
+       "      <td>1.09</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Tail Ratio</th>\n",
+       "      <td>9.83</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>1.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Outlier Win Ratio</th>\n",
+       "      <td>20.06</td>\n",
+       "      <td>21.56</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>2.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Outlier Loss Ratio</th>\n",
+       "      <td>1.58</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>2.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MTD</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>0.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3M</th>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>-0.07</td>\n",
+       "      <td>-0.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6M</th>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>-0.32</td>\n",
+       "      <td>-0.44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>YTD</th>\n",
+       "      <td>0.13</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>-0.26</td>\n",
+       "      <td>-0.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1Y</th>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>-0.44</td>\n",
+       "      <td>-0.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3Y (ann.)</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5Y (ann.)</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10Y (ann.)</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All-time (ann.)</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>-0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Best Day</th>\n",
+       "      <td>0.04</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Worst Day</th>\n",
+       "      <td>-0.07</td>\n",
+       "      <td>-0.05</td>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>-0.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Best Month</th>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Worst Month</th>\n",
+       "      <td>-0.09</td>\n",
+       "      <td>-0.03</td>\n",
+       "      <td>-0.2</td>\n",
+       "      <td>-0.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Best Year</th>\n",
+       "      <td>0.13</td>\n",
+       "      <td>0.13</td>\n",
+       "      <td>-0.24</td>\n",
+       "      <td>-0.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Worst Year</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>-0.26</td>\n",
+       "      <td>-0.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Drawdown</th>\n",
+       "      <td>-0.05</td>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.13</td>\n",
+       "      <td>-0.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Drawdown Days</th>\n",
+       "      <td>87</td>\n",
+       "      <td>39</td>\n",
+       "      <td>66</td>\n",
+       "      <td>82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Recovery Factor</th>\n",
+       "      <td>1.13</td>\n",
+       "      <td>3.34</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>0.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Ulcer Index</th>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.33</td>\n",
+       "      <td>0.44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Serenity Index</th>\n",
+       "      <td>0.11</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>-0.06</td>\n",
+       "      <td>-0.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Up Month</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Avg. Down Month</th>\n",
+       "      <td>-0.04</td>\n",
+       "      <td>-0.01</td>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>-0.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Days</th>\n",
+       "      <td>0.59</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>0.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Month</th>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.33</td>\n",
+       "      <td>0.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Quarter</th>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win Year</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Annualised return (raw)</th>\n",
+       "      <td>0.151527</td>\n",
+       "      <td>0.184334</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Benchmark start</th>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "      <td>2025-08-01 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Start price</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>113110.29</td>\n",
+       "      <td>3488.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>End price</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>63872.69</td>\n",
+       "      <td>1783.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Price diff</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-0.44</td>\n",
+       "      <td>-0.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Multiplier X</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Candle freq</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>1 days 00:00:00</td>\n",
+       "      <td>1 days 00:00:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          LLP core + healthy satellites   100% LLP benchmark  \\\n",
+       "Start Period                                 2025-07-28           2025-07-28   \n",
+       "End Period                                   2026-07-06           2026-07-06   \n",
+       "Risk-Free Rate                                        0                    0   \n",
+       "Time in Market                                     0.15                 0.15   \n",
+       "Cumulative Return                                  0.14                 0.17   \n",
+       "CAGR\ufe6a                                              0.15                 0.18   \n",
+       "Sharpe                                             1.16                 2.33   \n",
+       "Prob. Sharpe Ratio                                 0.85                 0.96   \n",
+       "Smart Sharpe                                       1.15                  2.3   \n",
+       "Sortino                                            1.58                 3.43   \n",
+       "Smart Sortino                                      1.57                 3.37   \n",
+       "Sortino/\u221a2                                         1.11                 2.42   \n",
+       "Smart Sortino/\u221a2                                   1.11                 2.39   \n",
+       "Omega                                              1.63                 3.91   \n",
+       "Max Drawdown                                      -0.12                -0.05   \n",
+       "Longest DD Days                                     224                  119   \n",
+       "Volatility (ann.)                                  0.13                 0.07   \n",
+       "Calmar                                             1.22                 3.81   \n",
+       "Skew                                               -2.7                 -3.2   \n",
+       "Kurtosis                                          45.69                93.88   \n",
+       "Expected Daily                                        0                    0   \n",
+       "Expected Monthly                                   0.01                 0.01   \n",
+       "Expected Yearly                                    0.07                 0.08   \n",
+       "Kelly Criterion                                    0.23                 0.68   \n",
+       "Risk of Ruin                                          0                    0   \n",
+       "Daily Value-at-Risk                               -0.01                -0.01   \n",
+       "Expected Shortfall (cVaR)                         -0.01                -0.01   \n",
+       "Max Consecutive Wins                                1.0                  1.0   \n",
+       "Max Consecutive Losses                              1.0                  1.0   \n",
+       "Gain/Pain Ratio                                    0.63                 2.91   \n",
+       "Gain/Pain (1M)                                     1.08                 6.02   \n",
+       "Payoff Ratio                                       1.13                 0.35   \n",
+       "Profit Factor                                      1.63                 3.91   \n",
+       "Common Sense Ratio                                16.03                    -   \n",
+       "CPC Index                                          1.09                 1.25   \n",
+       "Tail Ratio                                         9.83                    -   \n",
+       "Outlier Win Ratio                                 20.06                21.56   \n",
+       "Outlier Loss Ratio                                 1.58                 0.07   \n",
+       "MTD                                                   0                    0   \n",
+       "3M                                                 0.08                 0.03   \n",
+       "6M                                                 0.14                 0.04   \n",
+       "YTD                                                0.13                 0.04   \n",
+       "1Y                                                 0.14                 0.17   \n",
+       "3Y (ann.)                                          0.15                 0.18   \n",
+       "5Y (ann.)                                          0.15                 0.18   \n",
+       "10Y (ann.)                                         0.15                 0.18   \n",
+       "All-time (ann.)                                    0.15                 0.18   \n",
+       "Best Day                                           0.04                 0.03   \n",
+       "Worst Day                                         -0.07                -0.05   \n",
+       "Best Month                                         0.08                 0.08   \n",
+       "Worst Month                                       -0.09                -0.03   \n",
+       "Best Year                                          0.13                 0.13   \n",
+       "Worst Year                                         0.01                 0.04   \n",
+       "Avg. Drawdown                                     -0.05                -0.01   \n",
+       "Avg. Drawdown Days                                   87                   39   \n",
+       "Recovery Factor                                    1.13                 3.34   \n",
+       "Ulcer Index                                        0.07                 0.01   \n",
+       "Serenity Index                                     0.11                 1.68   \n",
+       "Avg. Up Month                                      0.03                 0.02   \n",
+       "Avg. Down Month                                   -0.04                -0.01   \n",
+       "Win Days                                           0.59                 0.92   \n",
+       "Win Month                                          0.75                 0.75   \n",
+       "Win Quarter                                         0.8                  0.6   \n",
+       "Win Year                                            1.0                  1.0   \n",
+       "Annualised return (raw)                        0.151527             0.184334   \n",
+       "Benchmark start                     2025-08-01 00:00:00  2025-08-01 00:00:00   \n",
+       "Start price                                           -                    -   \n",
+       "End price                                             -                    -   \n",
+       "Price diff                                            -                    -   \n",
+       "Multiplier X                                          -                    -   \n",
+       "Candle freq                                           -                    -   \n",
+       "\n",
+       "                              BTC (buy & hold)     ETH (buy & hold)  \n",
+       "Start Period                        2025-07-28           2025-07-28  \n",
+       "End Period                          2026-07-06           2026-07-06  \n",
+       "Risk-Free Rate                               0                    0  \n",
+       "Time in Market                            0.98                 0.98  \n",
+       "Cumulative Return                        -0.44                -0.49  \n",
+       "CAGR\ufe6a                                    -0.46                -0.51  \n",
+       "Sharpe                                   -1.18                -0.72  \n",
+       "Prob. Sharpe Ratio                        0.12                 0.24  \n",
+       "Smart Sharpe                             -1.18                -0.72  \n",
+       "Sortino                                  -1.57                -1.02  \n",
+       "Smart Sortino                            -1.56                -1.01  \n",
+       "Sortino/\u221a2                               -1.11                -0.72  \n",
+       "Smart Sortino/\u221a2                         -1.11                -0.72  \n",
+       "Omega                                     1.63                 1.63  \n",
+       "Max Drawdown                             -0.53                -0.68  \n",
+       "Longest DD Days                            273                  318  \n",
+       "Volatility (ann.)                         0.44                 0.67  \n",
+       "Calmar                                   -0.86                -0.75  \n",
+       "Skew                                     -0.24                 0.17  \n",
+       "Kurtosis                                  6.11                 2.79  \n",
+       "Expected Daily                               0                    0  \n",
+       "Expected Monthly                         -0.04                -0.05  \n",
+       "Expected Yearly                          -0.25                -0.28  \n",
+       "Kelly Criterion                           0.03                 0.11  \n",
+       "Risk of Ruin                                 0                    0  \n",
+       "Daily Value-at-Risk                      -0.04                -0.06  \n",
+       "Expected Shortfall (cVaR)                -0.04                -0.06  \n",
+       "Max Consecutive Wins                       8.0                  8.0  \n",
+       "Max Consecutive Losses                     7.0                  7.0  \n",
+       "Gain/Pain Ratio                          -0.16                 -0.1  \n",
+       "Gain/Pain (1M)                           -0.62                -0.44  \n",
+       "Payoff Ratio                              1.12                 1.38  \n",
+       "Profit Factor                             0.84                  0.9  \n",
+       "Common Sense Ratio                         0.7                 1.05  \n",
+       "CPC Index                                 0.46                  0.6  \n",
+       "Tail Ratio                                0.83                 1.17  \n",
+       "Outlier Win Ratio                         2.68                 2.65  \n",
+       "Outlier Loss Ratio                        2.16                 2.11  \n",
+       "MTD                                        0.1                 0.14  \n",
+       "3M                                       -0.07                -0.15  \n",
+       "6M                                       -0.32                -0.44  \n",
+       "YTD                                      -0.26                -0.39  \n",
+       "1Y                                       -0.44                -0.49  \n",
+       "3Y (ann.)                                -0.46                -0.51  \n",
+       "5Y (ann.)                                -0.46                -0.51  \n",
+       "10Y (ann.)                               -0.46                -0.51  \n",
+       "All-time (ann.)                          -0.46                -0.51  \n",
+       "Best Day                                  0.12                 0.14  \n",
+       "Worst Day                                -0.14                -0.15  \n",
+       "Best Month                                0.12                 0.26  \n",
+       "Worst Month                               -0.2                -0.22  \n",
+       "Best Year                                -0.24                -0.15  \n",
+       "Worst Year                               -0.26                -0.39  \n",
+       "Avg. Drawdown                            -0.13                -0.21  \n",
+       "Avg. Drawdown Days                          66                   82  \n",
+       "Recovery Factor                           0.91                 0.67  \n",
+       "Ulcer Index                               0.33                 0.44  \n",
+       "Serenity Index                           -0.06                -0.05  \n",
+       "Avg. Up Month                             0.07                 0.14  \n",
+       "Avg. Down Month                          -0.14                -0.17  \n",
+       "Win Days                                  0.49                 0.49  \n",
+       "Win Month                                 0.33                 0.33  \n",
+       "Win Quarter                                0.2                  0.4  \n",
+       "Win Year                                     0                    0  \n",
+       "Annualised return (raw)                    NaN                  NaN  \n",
+       "Benchmark start            2025-08-01 00:00:00  2025-08-01 00:00:00  \n",
+       "Start price                          113110.29              3488.74  \n",
+       "End price                             63872.69              1783.67  \n",
+       "Price diff                               -0.44                -0.49  \n",
+       "Multiplier X                              0.56                 0.51  \n",
+       "Candle freq                    1 days 00:00:00      1 days 00:00:00  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from tradeexecutor.analysis.multi_asset_benchmark import compare_strategy_backtest_to_multiple_assets\n",
+    "\n",
+    "names = list(states.keys())\n",
+    "metric_tables = {\n",
+    "    name: compare_strategy_backtest_to_multiple_assets(st, strategy_universe, display=False, asset_count=2)\n",
+    "    for name, st in states.items()\n",
+    "}\n",
+    "\n",
+    "reference = metric_tables[names[0]]\n",
+    "side_by_side = pd.DataFrame(index=reference.index)\n",
+    "for name in names:\n",
+    "    side_by_side[name] = metric_tables[name].iloc[:, 0]\n",
+    "side_by_side['BTC (buy & hold)'] = reference.iloc[:, 1]\n",
+    "side_by_side['ETH (buy & hold)'] = reference.iloc[:, 2]\n",
+    "\n",
+    "display(side_by_side)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5819aff9",
+   "metadata": {},
+   "source": [
+    "# Equity curve \u2014 both strategies in one chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "21e4a1df",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:38:59.973688Z",
+     "iopub.status.busy": "2026-07-24T10:38:59.973551Z",
+     "iopub.status.idle": "2026-07-24T10:39:03.699672Z",
+     "shell.execute_reply": "2026-07-24T10:39:03.699053Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import plotly.graph_objects as go\n",
+    "from tradeexecutor.analysis.multi_asset_benchmark import get_benchmark_data\n",
+    "\n",
+    "benchmark = get_benchmark_data(\n",
+    "    strategy_universe,\n",
+    "    cumulative_with_initial_cash=Parameters.initial_cash,\n",
+    "    start_at=pd.Timestamp(Parameters.backtest_start),\n",
+    ")\n",
+    "\n",
+    "colours = {'Champion (C-eq / no gate)': '#1f77b4', 'Winner (C-ivw / ret30 gate)': '#2ca02c'}\n",
+    "fig = go.Figure()\n",
+    "for name, st in states.items():\n",
+    "    curve = calculate_equity_curve(st)\n",
+    "    fig.add_trace(go.Scatter(x=curve.index, y=curve.values, name=name,\n",
+    "                             line=dict(width=2.5, color=colours.get(name))))\n",
+    "for col in benchmark.columns:\n",
+    "    label = col if isinstance(col, str) else getattr(col, 'get_ticker', lambda: str(col))()\n",
+    "    fig.add_trace(go.Scatter(x=benchmark.index, y=benchmark[col], name=f\"{label} buy & hold\",\n",
+    "                             line=dict(dash='dot', width=1), opacity=0.55))\n",
+    "fig.update_layout(\n",
+    "    title='Equity curve \u2014 winner vs champion vs BTC/ETH buy & hold (25,000 USD start)',\n",
+    "    yaxis_title='Portfolio value (USD)', xaxis_title='Time', legend_title_text='',\n",
+    ")\n",
+    "fig.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "md_best",
+   "metadata": {},
+   "source": [
+    "# Asset weights\n",
+    "\n",
+    "How each strategy distributes the portfolio across vaults over time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "code_best",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:39:03.741236Z",
+     "iopub.status.busy": "2026-07-24T10:39:03.741116Z",
+     "iopub.status.idle": "2026-07-24T10:39:09.249925Z",
+     "shell.execute_reply": "2026-07-24T10:39:09.249146Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LLP core + healthy satellites \u2014 portfolio equity curve broken down by vault\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100% LLP benchmark \u2014 portfolio equity curve broken down by vault\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LLP core + healthy satellites \u2014 weight allocation statistics\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>At</th>\n",
+       "      <th>Pair</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Address</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2026-07-06</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>$27,973.52</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2026-02-02</td>\n",
+       "      <td>K Pool</td>\n",
+       "      <td>$618.33</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>$8,302.94</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>100.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2026-02-02</td>\n",
+       "      <td>K Pool</td>\n",
+       "      <td>2.44%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>31.65%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (including USDC)</th>\n",
+       "      <td>2025-10-06</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>98.04%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (including USDC)</th>\n",
+       "      <td>2025-10-06</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>1.96%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (including USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>24.04%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>---</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+$3,827.52</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2025-10-27</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-$2,923.97</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-12-22</td>\n",
+       "      <td>K Pool</td>\n",
+       "      <td><span style=\"color: green\">+60.92%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976680237\">lighte...0237</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2025-10-27</td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-80.06%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+$3,827.52</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-$2,385.24</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>K Pool</td>\n",
+       "      <td><span style=\"color: green\">+35.50%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976680237\">lighte...0237</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Guinea Pool</td>\n",
+       "      <td><span style=\"color: red\">-41.61%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976694250\">lighte...4250</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100% LLP benchmark \u2014 weight allocation statistics\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe table table-striped\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>At</th>\n",
+       "      <th>Pair</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Address</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2026-06-29</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>$28,777.89</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>$24,500.00</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>$27,577.17</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (excluding USDC)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>100.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (excluding USDC)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>100.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (excluding USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>100.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Max position (including USDC)</th>\n",
+       "      <td>2026-05-25</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td>98.04%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Min position (including USDC)</th>\n",
+       "      <td>2026-05-25</td>\n",
+       "      <td>USDC</td>\n",
+       "      <td>1.96%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mean position (including USDC)</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>50.00%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>---</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+$4,307.95</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+$4,307.95</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (position)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+17.57%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (position)</th>\n",
+       "      <td>2025-07-28</td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+17.57%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+$4,307.95</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+$4,307.95</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest winner (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+17.57%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Biggest loser (vault)</th>\n",
+       "      <td></td>\n",
+       "      <td>Lighter Liquidity Provider (LLP)</td>\n",
+       "      <td><span style=\"color: green\">+17.57%</span></td>\n",
+       "      <td><a href=\"https://tradingstrategy.ai/trading-view/vaults/address/lighter-pool-281474976710654\">lighte...0654</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for name, renderer in renderers.items():\n",
+    "    print(name, '\u2014 portfolio equity curve broken down by vault')\n",
+    "    fig = renderer.render(equity_curve_by_asset)\n",
+    "    display(fig)\n",
+    "\n",
+    "from tradeexecutor.utils.notebook import display_dataframe_with_html\n",
+    "for name, renderer in renderers.items():\n",
+    "    print(name, '\u2014 weight allocation statistics')\n",
+    "    display_dataframe_with_html(renderer.render(weight_allocation_statistics))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "md_monthly",
+   "metadata": {},
+   "source": [
+    "# Monthly returns\n",
+    "\n",
+    "Monthly return grid for each strategy \u2014 is the path broad-based or a few bursts?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "code_monthly",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-07-24T10:39:09.292140Z",
+     "iopub.status.busy": "2026-07-24T10:39:09.292018Z",
+     "iopub.status.idle": "2026-07-24T10:39:09.730369Z",
+     "shell.execute_reply": "2026-07-24T10:39:09.729926Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LLP core + healthy satellites\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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xypc/chwFAADHIUvTy8OyXIsFzZ6dWmGRGQu2VapUSUFBQS7m48szB4NnPD1f2XmcxY/s5q169epuNt2JEye6uR4sNlWYinTv1b7AiIgIF9CbNWuWW2bpkt5sbD2TVYql7/NMmzbNZf4tWLBA33zzjRu7zwZPtIBf//79VauWf45nFBMd5zLJPMLDw1xprbetW/Zq0cI16nLRGQoJDtKkT3/Txg07Vb9BNU3++gEt+XO9Ondroacfm+ACe9/P/FOzvl+iK3u0UtNmZIx4mzb+T61YvFW3P9Q+0+9j9rQVqlqzjJo0PVG7tdFl57004Vr99esmndmurr54f6G6XdNMKxZv009Tl+vs9vXV7Oz0Nf7FVY1a2Ru3wMbLuqzHWXr9hZ80/oN5uun29vp0ymD9NGuZHn3uGs2etUxntWroynNHvTBNZ7Ssr04XNsv39+8PMhuPM7vrvP3RAM2c9odGPHm1dmzbp7LlIhUaFqzHh09Qg0bVGHfvX4mrdysgPERBlaNcEC9x7V6FeF8MsKuZwUHp0v8DggPdVc7wi09SwrIdCiwfocDIUBfkC6xSUodnrlZgVKhCz6qZ6fh9xVWZ0hHHNC7fFTeO0itP9HRt/9A9F6lZk5qqUK6kTm1SQ6Nu+E6fvTdAT778tQIDAnTnze1dqX9xFR0dq8jI1GoJExFhfYv0Q36EhoaoWrUKOnAgfYl/nz6d3XLrLHfo0EKdOw/V5MkP67XXPtfOnfs0cODlKls2NeAKAACOtwk1fIN7Urny5bLMzjuaM888093+S1RUlKvWzCwzz9hsuHn5OE+Az+zevbvQg3tFtuby+++/14oVK3T55ZcrLCwsLYXSN9rq+dsGOczu89i68+bNc2P2WUDv4YcfdpNv2PTHWT1PUVeqdLgOHEjd+IxdQbdMJm/jP56tDp2ba+RjPV0Jbs9rL9Mbo6a7+05sVENX9GjlsvYs4FevfhUNvuNtRUaEqU/PF92A2Ej10ah5mvbpYj33wTVuDL3MzJi8RF16pJ/AwYJ9Hbo3cWMNWUlu604n6tE7Pld4ZIievmeK9u+NoYmPQe0TKuryq1vq0cfv1cfvzXHLKlQqpe49Wqpy1TJ6780f1Lf/Bbr9hjdd5shTIyanjRGHnCtZKlzde5yteg2q6MWnvtLA+y7S4NveddmqY974Tj98+1exb96UpGRXcht1fXOVOLeOovqcprhfNiol1mtW9pAgKSnZZfAZC4BYJyggNMgF+UKbVlFw9VJuTL4SF9RT7PRVSjkYp4TlOxX/W/Hdju2i1a33jHO3IY9MOKbHrlu/SRd0f07DBnZT9wtbuGWBgYG6tOtpat2ygZ55bboG39ZJz4+eoYV/rNOiJRv05MtTVZyVLh2p/fuj0/62321ZdnXseLo6dz5TY8d+oyuuOE+ffz5Xkyf/pJ0792vgwFH59K4BAEBhyzBbbgGoUaOGDhywOQiOxEXMtm3bVLJkyQyJYsfyOJvrwao+fdnjTFGYWKNIZu79+uuvmjBhgrp27arWrVunjYvnSY30/O7522RWI53Z89iVejuJsjH2wsPD0x5r67z00kv6+++/deqpxz6rZkpysA7uPjL2WkFrWO9cPfv0KB0YWM99xlkz/9EVV16U7j0FplTXxnW705bt2zNLgSkV063z2PAPNeD2wVq++LDOOONM3d5/mH74bq02rqmoChUKd9yy8gmFP/HEC0+9oZ07gjV23NsKCQ2RvM7VvbfJ3+c8r+eefUGhyRVUPiF9dt8Hr76tm/vepqCdtVW7Zl3dfccj2rHmMcWua6S6UelL9wpawt7U/xNFQXJcWSVF11LC3lPSLd+yZbsmjv9adw680f29bu0PqlCuarr1Pv7oc3XtcomCY1so7nCQBg54UAnRo7XyjzDVrZr++QpaYkDRuaaSFPuTEkNLKm5v46OukxwUlmGdWd/PU6OGp6tU6DnatP4lvffeI3q/8kQt/yNJZ7fI+vkKwgutbyvU17dM8AEh83R/o6tUsVplHdx3QPcFzNUz596qkLAjx6pH6v+jKyNb66QWTRW3ZpdqnVBbI9vcnnb/5n826JtKibrxijv0zOzhuuWhwVq/aq2W/fanrm6duv0Xpu0xBT/hUnx8guo2XOd+Dw8voe0xR8oj9sYeVGxSqXTLPFatXqebbhuil559RM2bNdZ2n2spO3bs1q+L92vAnVfr7U9H6OZb7lRYaIhefPXdTJ+vwGzPflZifmjU6FR99dVKNWhwgfbvP6AlS9arcuUztX17atWEt127Dik5OUDbt6c/VsfGxum99+bo449f1/PPj1avXtepbdtWuvLKmzKsWzi2yZ/YUDR2sgHa2N+xLdPGxwN/2o4rVKiQLo5yPM6W26xZM40fP97Fgc477zy3zJK3/vjjj7Rx8nL6uEWLFumrr75yE7ZaCXDqR0rR3LlzVaVKFdWsWfgTOBa54J5NdmGz4l588cXq0qVLhvLb6Gi7anxkvBb7O7NUyayexzNZhmXqefP8bTPu5kRAYKJKlk8/c2pB6nRxGY0enaIrr+jpspT27j2kK6+tpdDQ1brnrnc0/OGrdf3NJ+m9se+r5zW9XVbfbwvWaeaPI9Le99K/Nii0xEGd3kqyCV8G3P6LbrvtVh2K3qU6DXcrICDr0ueC8M+uxYX6+r/PXaf3x0xQpytO0YhHUwcEb3RqNVde+9bTs3ThNc1VtVYZrV+/SyXLhCq+/HzFJ0Rpd8i3ac+xe/tBLVu9QNfeX0fJyXu1becG3XrrLfpn+U7dceJp2h2S9cylBaFMmaIzrldg2F4FRW5QSNnU2S/ffHWGK7O1mW/nzvteP/w0UzVrVdCcWav07vhb0tazzJ6vp36uD78YqODgJapSPVz9brlFSxdvVJ87Tk5br7AEBRSd3W5QiZ0KDo9WWNml7u9Pxs12k4+cd37jdOsEBpVMW8fYBZIxY97UOx8PUFjJpWp+RjVdd90NbgKTMZ/ckW7dwjB4zscqbCnn1dDQm+9UcN1ySly/T6FnV9OQX99Rwt87XGfHMvMSzojScw8+ruB65RS2PlrJF9bV4Dmj054j+qM/Fd6loVt2uEyM7rlrsFJi4t2yBV7rFZY+N/Uo+BeNkO7r530R5EimaNkS61Qi6IAqR6Qumz1/pZYu36Jb+7TVxfc+ptKlS+rzye/p88mp6z9+f3eVL5faJ3j4f+/r0XvbuMd2aFVJQ4cNV2BggPr2Ojft+QpFhcLdJw8Z0knnnjtQa9cu0Z9/rtWNN3ZSw4axWrZsuT77bK4eeKBX2rp79+5RYGCKKldOP8v5009/rDvv7KTq1feoc+d6GjDgBY0bN1bt25+cYd3CEBBQiMHbHLCTSDuJAG3s79iWaePjAdtxFlKk5EzKcvNb2bJlXRLXp59+6uJEFoSzSk5jyz3Wrl3rqjc8ZbTZeZxN2vrbb7/p1VdfdfElSxSzwN769et15513unH7ClvROcu0TJBZs1ymXa9evdIy7Tw8Y+FZOqR3cG/r1q3uZ+3atY/peawm2rtztH9/6gx7WaVqFnW2cU6acr++m/mnYg/Hq2OX09IGBG9ySm0FhwS5cXNm//qMZn272M1699RTz6pmnSMd65joWFeua0qWDNeUGQ9p/s8r1L5jswzTQhdH4ZGhuuPhDumWVf53go06DSqqRERqiW5UqRK669GOmT7Hvj2H1f/B1Ew+O3F88dNeWjh7ne56tJPCI4rvuE6ZuaLnOape80i2aJ26lVS6TIQra54w/V79+N1SHdgXo/uHPqQaJx25YmZj7D34+BVuPfP2x/317fTFGv74Fdkaa6446XxhczdIvvd4h2X/DXZ4r5MSe6LldaYt27P7kAYNu0RRJVMzPZ8b1UfTv/pd9RpUVZNT/XPc0rxm5bgWtEvefkhhrWor+N99RUDJMAUkpnZ2bCbdqH6RStq0X/cNHqoXthwpAbXyhdAW1RRYNrWNrTQ3oXopBUaEKLjOkckMcETjE6vr1j7t0v4uXzZKJ9Sq4IaVuOGa1joQX02lQrek3R8aGpR21bVDm8Y6o3nq2LL9rmuj2jVSSys6ne9fgZ+8VrduNS1a9Ia+/36R+ve/RO3aNXfLS5aM0Ikn1ki3bpUq5TRwYL8Mz9GwYU1ddlnrtDLdMWPu044d+3TJJecU0KcAAAAFyeJ4ST7BvQKI7TndunVT1apVXSDOJuKwSVcvuOCCtGQx891337nh3fr06ZPtx1kwb9iwYW4+h6VLlyomJkbVqlVTjx49MiSOFZaAFOvVFgFTp07VlClT1K9fP5cW6cve5kMPPeSCczfffHNa+eNzzz3nGtqipdl5nsTERD3wwAMubfL2229PC1qNHTtWixcv1lNPPZVpie9/SUo5pIPx/jU2j5XjFma24bFaXMiZezlhJbnemXtFXb0ilLmXXVaOW9jZeP6auZddVpJb2Nl4x+Kklws/cy8npcTeWXv+YE9hZO7lgpXXFmoWnh9m7h0rK7MtCtl4xyIg4Hz5E7JEaOPjBdsybXw8YDvOXNKOLdp391XplpV5fryCKhX8kC7FSZE4y1y4cKG++OILnXjiiW7CCyup9dawYUOVK1dOvXv31iuvvKLRo0erUaNG+v3337Vz507de++9x/Q8ffv21ahRo/Taa6+58fVWrlzpaqgtaJiTwB4AAAAAAECxl5KSSVlukcgpO64VieDewYMH06Y2thRHX1Y+a0E5C87ZDLc///yzNm7cqMaNG7sMPZvB5Fifx2bItRlz161b5waXtOdlDBMAAAAAAIBclOX+OwyN9zIUg+Be27Zt3S07KleurEsvvTTXz2Nj69kMuQAAAAAAAPDfCTWKuyIR3AMAAAAAAICfoyy3UBDcAwAAAAAAQJ5ITkiiJQsYwT0AAAAAAADkms2dkWHMPcpy8x3BPQAAAAAAAOSJDGPuId8R3AMAAAAAAEDuMeZeoSC4BwAAAAAAgFyzElzfzD3KcvMfwT0AAAAAAADkicREBtkraAT3AAAAAAA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\n",
+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100% LLP benchmark\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x260 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from tradeexecutor.visual.equity_curve import visualise_returns_over_time\n",
+    "\n",
+    "for name, st in states.items():\n",
+    "    print(name)\n",
+    "    strategy_returns = calculate_returns(calculate_equity_curve(st))\n",
+    "    display(visualise_returns_over_time(strategy_returns))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.6"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {
+     "009fb08717d4465a8de9554245cebbe4": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "_model_module": "@jupyter-widgets/base",
+       "_model_module_version": "2.0.0",
+       "_model_name": "LayoutModel",
+       "_view_count": null,
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\ No newline at end of file