Add visual representation of results

make_bencmark_charts.py

@@ -0,0 +1,70 @@
+#!/usr/bin/python3
+
+import os
+from collections import defaultdict
+from collections import namedtuple
+import csv
+
+from matplotlib import pyplot as plt
+
+TestInfo = namedtuple("Data", "cpu author compiler test subtest test_data")
+TestData = namedtuple("TestData", "avg_time")
+
+PATH_TO_RESULTS = './results'
+OUTPUT_FILE = "results.jpg"
+
+def parse_csv(path):
+    with open(path, 'r', encoding='utf-8-sig', newline='') as file:
+        reader = csv.reader(file)
+        header = list(next(reader))
+        subtests = [dict(zip(header,row)) for row in reader]
+    return subtests
+
+def get_data():
+    file_list = defaultdict(list)
+    for root, dirs, files in os.walk(PATH_TO_RESULTS):
+        for file in files:
+            path = os.path.join(root, file)
+            test = file[:-4]
+            splitted = path[len(PATH_TO_RESULTS):].split('/')
+            if len(splitted) == 5: # work around
+                start_index = -3
+                compiler = splitted[-2]
+            else:
+                start_index = -2
+                compiler = 'None'
+            author = splitted[start_index]
+            cpu = splitted[start_index - 1]
+
+            subtests = parse_csv(path)
+            for subtest in subtests:
+                test_data = TestData(int(subtest['avg_time']))
+                file_list[(test, subtest['name'])].append(TestInfo(cpu, author, compiler, test, subtest['name'], test_data))
+    return file_list
+
+def make_plot(test_data):
+    test_count = len(test_data)
+    measurements_count = len(test_data[next(iter(test_data))])
+
+    fig, axes = plt.subplots(figsize=(20, measurements_count * test_count / 2), nrows=test_count)
+
+    for i, (k, v) in enumerate(test_data.items()):
+        names = [f"{data.cpu}/{data.author}/{data.compiler}" for data in v]
+        values = [data.test_data.avg_time for data in v]
+        ax = axes[i]
+
+        ax.barh(names, values)
+
+        for j in ax.patches:
+            ax.text(j.get_width() + 0.2, j.get_y() + 0.5, 
+                    str(round((j.get_width()), 2)),
+                    fontsize=10, fontweight='bold',
+                    color ='grey')
+
+        ax.set_title(f"{k[0]}/{k[1]}", loc='left', )
+
+    fig.savefig("results.jpg", bbox_inches='tight')
+
+if __name__ == "__main__":
+    test_data = get_data()
+    make_plot(test_data)