build: use uv as pkg manager

[Tohrusky]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @Tohrusky, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request implements a significant refactoring of the project's build and dependency management infrastructure. By adopting uv as the primary package manager and Hatchling as the build backend, the changes aim to enhance build performance, simplify dependency resolution, and standardize project configuration. This migration also includes updating various development tools to their latest versions, ensuring a more robust and efficient development workflow.

Highlights

• Package Manager Migration: The project has transitioned from Poetry to uv for package management, streamlining dependency resolution and command execution across various development tasks.
• Build System Update: The build backend has been switched from poetry-core to Hatchling, centralizing project metadata and build configurations within pyproject.toml.
• Development Tool Upgrades: Several pre-commit hooks and development tools, including pre-commit-hooks, prettier, ruff, and mypy, have been updated to their latest versions for improved consistency and functionality.
• Configuration Simplification: The poetry.toml file has been removed, and pyproject.toml has been refactored to consolidate project and tool configurations, enhancing maintainability.

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[gemini-code-assist]

Code Review

This pull request migrates the project from Poetry to uv for package management and hatch for building. The changes involve updating the pyproject.toml to the PEP 621 standard, replacing poetry commands with uv commands in the Makefile, and updating pre-commit hook versions.

The migration is a good step towards modern Python packaging. However, I've found several critical and high-severity issues in the new pyproject.toml configuration that need to be addressed:

• An incorrect PyTorch index URL is used, which will cause dependency installation to fail.
• The dependency groups are not defined using the standard [project.optional-dependencies] table.
• A non-standard [tool.uv].default-groups key is used.
• The platform markers for PyTorch dependencies only account for Windows, which will prevent GPU-accelerated builds on Linux.
• There's also a minor issue with a redundant dependency and the use of an alpha version for a pre-commit hook.

Addressing these points will ensure the new packaging setup is correct, maintainable, and works across different platforms.