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Diffstat (limited to 'chromium/third_party/webrtc/base/rollingaccumulator_unittest.cc')
-rw-r--r-- | chromium/third_party/webrtc/base/rollingaccumulator_unittest.cc | 118 |
1 files changed, 118 insertions, 0 deletions
diff --git a/chromium/third_party/webrtc/base/rollingaccumulator_unittest.cc b/chromium/third_party/webrtc/base/rollingaccumulator_unittest.cc new file mode 100644 index 00000000000..7e3d8cdf0e9 --- /dev/null +++ b/chromium/third_party/webrtc/base/rollingaccumulator_unittest.cc @@ -0,0 +1,118 @@ +/* + * 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 |