xref: /aosp_15_r20/external/perfetto/tools/analyze_profiling_sampling_distribution.py (revision 6dbdd20afdafa5e3ca9b8809fa73465d530080dc)

#!/usr/bin/python

# Copyright (C) 2018 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys

import scipy as sp
import seaborn as sns

from collections import defaultdict
from matplotlib import pyplot as plt


def main(argv):
  sns.set()

  # Map from key to map from iteration id to bytes allocated.
  distributions = defaultdict(lambda: defaultdict(int))
  ground_truth = {}
  for line in sys.stdin:
    stripped = line.strip()
    # Skip empty lines
    if not stripped:
      continue
    itr, code_location, size = stripped.split(" ")
    if itr == 'g':
      assert code_location not in ground_truth
      ground_truth[code_location] = int(size)
    else:
      assert int(itr) not in distributions[code_location]
      distributions[code_location][int(itr)] += int(size)

  # Map from key to list of bytes allocated, one for each iteration.
  flat_distributions = {
      key: list(value.values()) for key, value in distributions.items()
  }

  for key, value in flat_distributions.items():
    print(key, "ground truth %d " % ground_truth[key], sp.stats.describe(value))
    sns.distplot(value)
    plt.show()


if __name__ == '__main__':
  main(sys.argv)