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#! /usr/bin/python3.12 -s
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
try:
from guppy import hpy
hp = hpy()
except ImportError:
print("Memory consumption not shown because guppy is not installed")
hp = None
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=desc)
parser.add_argument(
"yaml_dirs_or_files",
nargs="+",
help="List of optimization record files or directories searched "
"for optimization record files.",
)
parser.add_argument(
"--jobs",
"-j",
default=None,
type=int,
help="Max job count (defaults to %(default)s, the current CPU count)",
)
parser.add_argument(
"--no-progress-indicator",
"-n",
action="store_true",
default=False,
help="Do not display any indicator of how many YAML files were read.",
)
args = parser.parse_args()
print_progress = not args.no_progress_indicator
files = optrecord.find_opt_files(*args.yaml_dirs_or_files)
if not files:
parser.error("No *.opt.yaml files found")
sys.exit(1)
all_remarks, file_remarks, _ = optrecord.gather_results(
files, args.jobs, print_progress
)
if print_progress:
print("\n")
bypass = defaultdict(int)
byname = defaultdict(int)
for r in optrecord.itervalues(all_remarks):
bypass[r.Pass] += 1
byname[r.Pass + "/" + r.Name] += 1
total = len(all_remarks)
print("{:24s} {:10d}".format("Total number of remarks", total))
if hp:
h = hp.heap()
print("{:24s} {:10d}".format("Memory per remark", h.size / len(all_remarks)))
print("\n")
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 * 100.0 / 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 * 100.0 / total))
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