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#!/usr/bin/env python2.7
from __future__ import print_function
desc = '''Generate statistics about optimization records from the YAML files
generated with -fsave-optimization-record and -fdiagnostics-show-hotness.
The tools requires PyYAML and Pygments Python packages.'''
import optrecord
import argparse
import operator
from collections import defaultdict
from multiprocessing import cpu_count, Pool
if __name__ == '__main__':
parser = argparse.ArgumentParser(description=desc)
parser.add_argument('yaml_files', nargs='+')
parser.add_argument(
'--jobs',
'-j',
default=cpu_count(),
type=int,
help='Max job count (defaults to current CPU count)')
args = parser.parse_args()
if len(args.yaml_files) == 0:
parser.print_help()
sys.exit(1)
if args.jobs == 1:
pmap = map
else:
pool = Pool(processes=args.jobs)
pmap = pool.map
all_remarks, file_remarks, _ = optrecord.gather_results(pmap, args.yaml_files)
bypass = defaultdict(int)
byname = defaultdict(int)
for r in all_remarks.itervalues():
bypass[r.Pass] += 1
byname[r.Pass + "/" + r.Name] += 1
total = len(all_remarks)
print("{:24s} {:10d}\n".format("Total number of remarks", total))
print("Top 10 remarks by pass:")
for (passname, count) in sorted(bypass.items(), key=operator.itemgetter(1),
reverse=True)[:10]:
print(" {:30s} {:2.0f}%". format(passname, count * 100. / total))
print("\nTop 10 remarks:")
for (name, count) in sorted(byname.items(), key=operator.itemgetter(1),
reverse=True)[:10]:
print(" {:30s} {:2.0f}%". format(name, count * 100. / total))
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