1# Copyright 2016 gRPC authors. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14 15import math 16import threading 17 18from src.proto.grpc.testing import stats_pb2 19 20 21class Histogram(object): 22 """Histogram class used for recording performance testing data. 23 24 This class is thread safe. 25 """ 26 27 def __init__(self, resolution, max_possible): 28 self._lock = threading.Lock() 29 self._resolution = resolution 30 self._max_possible = max_possible 31 self._sum = 0 32 self._sum_of_squares = 0 33 self.multiplier = 1.0 + self._resolution 34 self._count = 0 35 self._min = self._max_possible 36 self._max = 0 37 self._buckets = [0] * (self._bucket_for(self._max_possible) + 1) 38 39 def reset(self): 40 with self._lock: 41 self._sum = 0 42 self._sum_of_squares = 0 43 self._count = 0 44 self._min = self._max_possible 45 self._max = 0 46 self._buckets = [0] * (self._bucket_for(self._max_possible) + 1) 47 48 def add(self, val): 49 with self._lock: 50 self._sum += val 51 self._sum_of_squares += val * val 52 self._count += 1 53 self._min = min(self._min, val) 54 self._max = max(self._max, val) 55 self._buckets[self._bucket_for(val)] += 1 56 57 def get_data(self): 58 with self._lock: 59 data = stats_pb2.HistogramData() 60 data.bucket.extend(self._buckets) 61 data.min_seen = self._min 62 data.max_seen = self._max 63 data.sum = self._sum 64 data.sum_of_squares = self._sum_of_squares 65 data.count = self._count 66 return data 67 68 def merge(self, another_data): 69 with self._lock: 70 for i in range(len(self._buckets)): 71 self._buckets[i] += another_data.bucket[i] 72 self._min = min(self._min, another_data.min_seen) 73 self._max = max(self._max, another_data.max_seen) 74 self._sum += another_data.sum 75 self._sum_of_squares += another_data.sum_of_squares 76 self._count += another_data.count 77 78 def _bucket_for(self, val): 79 val = min(val, self._max_possible) 80 return int(math.log(val, self.multiplier)) 81