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diff --git a/src/python/grpcio_tests/tests/qps/histogram.py b/src/python/grpcio_tests/tests/qps/histogram.py
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+# 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))