def parallel_classify_warnings(warning_lines):
"""Classify all warning lines with num_cpu parallel processes."""
num_cpu = args.processes
- groups = [[] for x in range(num_cpu)]
- i = 0
- for x in warning_lines:
- groups[i].append(x)
- i = (i + 1) % num_cpu
- pool = multiprocessing.Pool(num_cpu)
- group_results = pool.map(classify_warnings, groups)
+ if num_cpu > 1:
+ groups = [[] for x in range(num_cpu)]
+ i = 0
+ for x in warning_lines:
+ groups[i].append(x)
+ i = (i + 1) % num_cpu
+ pool = multiprocessing.Pool(num_cpu)
+ group_results = pool.map(classify_warnings, groups)
+ else:
+ group_results = [classify_warnings(warning_lines)]
+
for result in group_results:
for line, pattern_idx, project_idx in result:
pattern = warn_patterns[pattern_idx]