| # Copyright 2016 gRPC authors. |
| # |
| # 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 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)) |
