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-rw-r--r--src/python/grpcio/tests/qps/histogram.py85
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diff --git a/src/python/grpcio/tests/qps/histogram.py b/src/python/grpcio/tests/qps/histogram.py
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--- a/src/python/grpcio/tests/qps/histogram.py
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@@ -1,85 +0,0 @@
-# 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))