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Revert "Move webrtc/{base => rtc_base}" (https://codereview.webrtc.org/2877023002)

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Will reland in two different commits to preserve git blame history.

BUG=webrtc:7634
NOTRY=True
TBR=kwiberg@webrtc.org

Change-Id: I550da8525aeb9c5b8f96338fcf1c9714f3dcdab1
Reviewed-on: https://chromium-review.googlesource.com/554610
Reviewed-by: Henrik Kjellander <kjellander@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#18820}
This commit is contained in:
Henrik Kjellander
2017-06-29 07:52:50 +02:00
parent a4c113afe1
commit ec78f1cebc
546 changed files with 20456 additions and 28300 deletions
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118
webrtc/rtc_base/rollingaccumulator_unittest.cc
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@ -1,118 +0,0 @@
/*
* Copyright 2011 The WebRTC Project Authors. All rights reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "webrtc/base/gunit.h"
#include "webrtc/base/rollingaccumulator.h"
namespace rtc {
namespace {
const double kLearningRate = 0.5;
} // namespace
TEST(RollingAccumulatorTest, ZeroSamples) {
RollingAccumulator<int> accum(10);
EXPECT_EQ(0U, accum.count());
EXPECT_DOUBLE_EQ(0.0, accum.ComputeMean());
EXPECT_DOUBLE_EQ(0.0, accum.ComputeVariance());
EXPECT_EQ(0, accum.ComputeMin());
EXPECT_EQ(0, accum.ComputeMax());
}
TEST(RollingAccumulatorTest, SomeSamples) {
RollingAccumulator<int> accum(10);
for (int i = 0; i < 4; ++i) {
accum.AddSample(i);
}
EXPECT_EQ(4U, accum.count());
EXPECT_EQ(6, accum.ComputeSum());
EXPECT_DOUBLE_EQ(1.5, accum.ComputeMean());
EXPECT_NEAR(2.26666, accum.ComputeWeightedMean(kLearningRate), 0.01);
EXPECT_DOUBLE_EQ(1.25, accum.ComputeVariance());
EXPECT_EQ(0, accum.ComputeMin());
EXPECT_EQ(3, accum.ComputeMax());
}
TEST(RollingAccumulatorTest, RollingSamples) {
RollingAccumulator<int> accum(10);
for (int i = 0; i < 12; ++i) {
accum.AddSample(i);
}
EXPECT_EQ(10U, accum.count());
EXPECT_EQ(65, accum.ComputeSum());
EXPECT_DOUBLE_EQ(6.5, accum.ComputeMean());
EXPECT_NEAR(10.0, accum.ComputeWeightedMean(kLearningRate), 0.01);
EXPECT_NEAR(9.0, accum.ComputeVariance(), 1.0);
EXPECT_EQ(2, accum.ComputeMin());
EXPECT_EQ(11, accum.ComputeMax());
}
TEST(RollingAccumulatorTest, ResetSamples) {
RollingAccumulator<int> accum(10);
for (int i = 0; i < 10; ++i) {
accum.AddSample(100);
}
EXPECT_EQ(10U, accum.count());
EXPECT_DOUBLE_EQ(100.0, accum.ComputeMean());
EXPECT_EQ(100, accum.ComputeMin());
EXPECT_EQ(100, accum.ComputeMax());
accum.Reset();
EXPECT_EQ(0U, accum.count());
for (int i = 0; i < 5; ++i) {
accum.AddSample(i);
}
EXPECT_EQ(5U, accum.count());
EXPECT_EQ(10, accum.ComputeSum());
EXPECT_DOUBLE_EQ(2.0, accum.ComputeMean());
EXPECT_EQ(0, accum.ComputeMin());
EXPECT_EQ(4, accum.ComputeMax());
}
TEST(RollingAccumulatorTest, RollingSamplesDouble) {
RollingAccumulator<double> accum(10);
for (int i = 0; i < 23; ++i) {
accum.AddSample(5 * i);
}
EXPECT_EQ(10u, accum.count());
EXPECT_DOUBLE_EQ(875.0, accum.ComputeSum());
EXPECT_DOUBLE_EQ(87.5, accum.ComputeMean());
EXPECT_NEAR(105.049, accum.ComputeWeightedMean(kLearningRate), 0.1);
EXPECT_NEAR(229.166667, accum.ComputeVariance(), 25);
EXPECT_DOUBLE_EQ(65.0, accum.ComputeMin());
EXPECT_DOUBLE_EQ(110.0, accum.ComputeMax());
}
TEST(RollingAccumulatorTest, ComputeWeightedMeanCornerCases) {
RollingAccumulator<int> accum(10);
EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(kLearningRate));
EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(0.0));
EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(1.1));
for (int i = 0; i < 8; ++i) {
accum.AddSample(i);
}
EXPECT_DOUBLE_EQ(3.5, accum.ComputeMean());
EXPECT_DOUBLE_EQ(3.5, accum.ComputeWeightedMean(0));
EXPECT_DOUBLE_EQ(3.5, accum.ComputeWeightedMean(1.1));
EXPECT_NEAR(6.0, accum.ComputeWeightedMean(kLearningRate), 0.1);
}
} // namespace rtc