# Copyright 2016, Google Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import math import threading from src.proto.grpc.testing import stats_pb2 class Histogram(object): """Histogram class used for recording performance testing data. This class is thread safe. """ def __init__(self, resolution, max_possible): self._lock = threading.Lock() self._resolution = resolution self._max_possible = max_possible self._sum = 0 self._sum_of_squares = 0 self.multiplier = 1.0 + self._resolution self._count = 0 self._min = self._max_possible self._max = 0 self._buckets = [0] * (self._bucket_for(self._max_possible) + 1) def reset(self): with self._lock: self._sum = 0 self._sum_of_squares = 0 self._count = 0 self._min = self._max_possible self._max = 0 self._buckets = [0] * (self._bucket_for(self._max_possible) + 1) def add(self, val): with self._lock: self._sum += val self._sum_of_squares += val * val self._count += 1 self._min = min(self._min, val) self._max = max(self._max, val) self._buckets[self._bucket_for(val)] += 1 def get_data(self): with self._lock: data = stats_pb2.HistogramData() data.bucket.extend(self._buckets) data.min_seen = self._min data.max_seen = self._max data.sum = self._sum data.sum_of_squares = self._sum_of_squares data.count = self._count return data def _bucket_for(self, val): val = min(val, self._max_possible) return int(math.log(val, self.multiplier))