Imported Upstream version 5.18.0.167

Former-commit-id: 289509151e0fee68a1b591a20c9f109c3c789d3a

external/llvm/tools/opt-viewer/opt-stats.py

@@ -1,78 +0,0 @@
-#!/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
-
-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=cpu_count(),
-        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. / 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))