Cleanup parse_benchmark_output. NFC (emscripten-core#22150)

View with ignore whitespace.

test/parse_benchmark_output.py

@@ -6,70 +6,79 @@
 
 import sys
 
-'''
+"""
+
 Example of parsed format:
 
 test_base64 (test_benchmark.benchmark) ...
 Running benchmarker: NativeBenchmarker: clang
         clang: mean: 0.731 (+-0.012) secs  median: 0.727  range: 0.715-0.746  (noise: 1.589%)  (5 runs)
 Running benchmarker: NativeBenchmarker: gcc
 [..]
-'''
+"""
+
 
-benchmark = ''
-benchmarker = ''
-matrix = []
+def main(args):
+  benchmark = ''
+  benchmarker = ''
+  # the first line has: [<empty string>, benchmarker name 1, ..]
+  # other lines have:   [benchmark name, result 1          , ..]
+  matrix = []
 
-for line in open(sys.argv[1]).readlines():
-  line = line.strip()
-  if line.startswith('test_'):
-    benchmark = line.split(' ')[0][5:]
-    # print('benchmark:', benchmark)
-    if len(matrix) == 0:
-      # the first line has [(free space), benchmarker name 1, ..]
-      matrix += [[' ']]
-    # other lines have [benchmark name, result 1, ..]
-    matrix += [[benchmark]]
-  if line.startswith('Running benchmarker'):
-    benchmarker = line.split(':')[-1].strip()
-    if benchmarker not in matrix[0]:
-      matrix[0] += [benchmarker]
-    # print('benchmarker:', benchmarker)
-  elif line.startswith(benchmarker + ':'):
-    parts = line.strip().split(' ')
-    mean = float(parts[2])
-    median = float(parts[7])
-    noise = float(parts[13][:-2])
-    if noise > 5:
-      print('warning: noisy! (%s: %f%%)' % (benchmark + '.' + benchmarker, noise))
-    if abs(mean - median) / mean > 0.05:
-      print('warning: mean and median diverge! (%s: %f vs %f)' % (benchmark + '.' + benchmarker, mean, median))
-    # print(benchmark, benchmarker, mean, median, noise)
-    matrix[-1] += [median]
+  for line in open(args[0]).readlines():
+    line = line.strip()
+    if line.startswith('test_'):
+      benchmark = line.split(' ')[0][5:]
+      # print('benchmark:', benchmark)
+      if len(matrix) == 0:
+        # the first line has [(free space), benchmarker name 1, ..]
+        matrix += [[' ']]
+      # other lines have [benchmark name, result 1, ..]
+      matrix += [[benchmark]]
+    elif line.startswith('Running benchmarker'):
+      benchmarker = line.split(':')[-1].strip()
+      if benchmarker not in matrix[0]:
+        matrix[0] += [benchmarker]
+      # print('benchmarker:', benchmarker)
+    elif line.startswith(benchmarker + ':'):
+      parts = line.split(' ')
+      mean = float(parts[2])
+      median = float(parts[7])
+      noise = float(parts[13][:-2])
+      if noise > 5:
+        print('warning: noisy! (%s: %f%%)' % (benchmark + '.' + benchmarker, noise))
+      if abs(mean - median) / mean > 0.05:
+        print('warning: mean and median diverge! (%s: %f vs %f)' % (benchmark + '.' + benchmarker, mean, median))
+      # print(benchmark, benchmarker, mean, median, noise)
+      matrix[-1] += [median]
 
-# normalize results
-for line in matrix[1:]:
-  if len(line) >= 2:
-    base = line[1]
-    for i in range(1, len(line)):
-      line[i] = line[i] / base
+  # normalize results
+  for line in matrix[1:]:
+    if len(line) >= 2:
+      base = line[1]
+      for i in range(1, len(line)):
+        line[i] = line[i] / base
 
-col0_width = max(len(r[0]) for r in matrix)
+  col0_width = max(len(r[0]) for r in matrix)
 
-# filter results
-result = []
-for i, row in enumerate(matrix):
-  if len(row) != len(matrix[0]):
-    print('warning: not enough results, skipping row:', row[0])
-  else:
-    line = '%*s ' % (col0_width, row[0])
-    if i == 0:
-      line += '\t'.join([str(x) for x in row[1:]])
+  # filter results
+  result = []
+  for i, row in enumerate(matrix):
+    if len(row) != len(matrix[0]):
+      print('warning: not enough results, skipping row:', row[0])
     else:
-      line += '\t'.join(['%.3f' % x for x in row[1:]])
-    result.append(line)
+      line = '%*s ' % (col0_width, row[0])
+      if i == 0:
+        line += '\t'.join([str(x) for x in row[1:]])
+      else:
+        line += '\t'.join(['%.3f' % x for x in row[1:]])
+      result.append(line)
+
+  # print results
+  print()
+  print('\n'.join(result))
+  print()
+
 
-# print results
-print()
-print('\n'.join(result))
-print()
+if __name__ == '__main__':
+  sys.exit(main(sys.argv[1:]))