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| 1 /* | |
| 2 * Copyright 2011 The WebRTC Project Authors. All rights reserved. | |
| 3 * | |
| 4 * Use of this source code is governed by a BSD-style license | |
| 5 * that can be found in the LICENSE file in the root of the source | |
| 6 * tree. An additional intellectual property rights grant can be found | |
| 7 * in the file PATENTS. All contributing project authors may | |
| 8 * be found in the AUTHORS file in the root of the source tree. | |
| 9 */ | |
| 10 | |
| 11 #include "webrtc/base/gunit.h" | |
| 12 #include "webrtc/base/rollingaccumulator.h" | |
| 13 | |
| 14 namespace rtc { | |
| 15 | |
| 16 namespace { | |
| 17 | |
| 18 const double kLearningRate = 0.5; | |
| 19 | |
| 20 } // namespace | |
| 21 | |
| 22 TEST(RollingAccumulatorTest, ZeroSamples) { | |
| 23 RollingAccumulator<int> accum(10); | |
| 24 | |
| 25 EXPECT_EQ(0U, accum.count()); | |
| 26 EXPECT_DOUBLE_EQ(0.0, accum.ComputeMean()); | |
| 27 EXPECT_DOUBLE_EQ(0.0, accum.ComputeVariance()); | |
| 28 EXPECT_EQ(0, accum.ComputeMin()); | |
| 29 EXPECT_EQ(0, accum.ComputeMax()); | |
| 30 } | |
| 31 | |
| 32 TEST(RollingAccumulatorTest, SomeSamples) { | |
| 33 RollingAccumulator<int> accum(10); | |
| 34 for (int i = 0; i < 4; ++i) { | |
| 35 accum.AddSample(i); | |
| 36 } | |
| 37 | |
| 38 EXPECT_EQ(4U, accum.count()); | |
| 39 EXPECT_EQ(6, accum.ComputeSum()); | |
| 40 EXPECT_DOUBLE_EQ(1.5, accum.ComputeMean()); | |
| 41 EXPECT_NEAR(2.26666, accum.ComputeWeightedMean(kLearningRate), 0.01); | |
| 42 EXPECT_DOUBLE_EQ(1.25, accum.ComputeVariance()); | |
| 43 EXPECT_EQ(0, accum.ComputeMin()); | |
| 44 EXPECT_EQ(3, accum.ComputeMax()); | |
| 45 } | |
| 46 | |
| 47 TEST(RollingAccumulatorTest, RollingSamples) { | |
| 48 RollingAccumulator<int> accum(10); | |
| 49 for (int i = 0; i < 12; ++i) { | |
| 50 accum.AddSample(i); | |
| 51 } | |
| 52 | |
| 53 EXPECT_EQ(10U, accum.count()); | |
| 54 EXPECT_EQ(65, accum.ComputeSum()); | |
| 55 EXPECT_DOUBLE_EQ(6.5, accum.ComputeMean()); | |
| 56 EXPECT_NEAR(10.0, accum.ComputeWeightedMean(kLearningRate), 0.01); | |
| 57 EXPECT_NEAR(9.0, accum.ComputeVariance(), 1.0); | |
| 58 EXPECT_EQ(2, accum.ComputeMin()); | |
| 59 EXPECT_EQ(11, accum.ComputeMax()); | |
| 60 } | |
| 61 | |
| 62 TEST(RollingAccumulatorTest, ResetSamples) { | |
| 63 RollingAccumulator<int> accum(10); | |
| 64 | |
| 65 for (int i = 0; i < 10; ++i) { | |
| 66 accum.AddSample(100); | |
| 67 } | |
| 68 EXPECT_EQ(10U, accum.count()); | |
| 69 EXPECT_DOUBLE_EQ(100.0, accum.ComputeMean()); | |
| 70 EXPECT_EQ(100, accum.ComputeMin()); | |
| 71 EXPECT_EQ(100, accum.ComputeMax()); | |
| 72 | |
| 73 accum.Reset(); | |
| 74 EXPECT_EQ(0U, accum.count()); | |
| 75 | |
| 76 for (int i = 0; i < 5; ++i) { | |
| 77 accum.AddSample(i); | |
| 78 } | |
| 79 | |
| 80 EXPECT_EQ(5U, accum.count()); | |
| 81 EXPECT_EQ(10, accum.ComputeSum()); | |
| 82 EXPECT_DOUBLE_EQ(2.0, accum.ComputeMean()); | |
| 83 EXPECT_EQ(0, accum.ComputeMin()); | |
| 84 EXPECT_EQ(4, accum.ComputeMax()); | |
| 85 } | |
| 86 | |
| 87 TEST(RollingAccumulatorTest, RollingSamplesDouble) { | |
| 88 RollingAccumulator<double> accum(10); | |
| 89 for (int i = 0; i < 23; ++i) { | |
| 90 accum.AddSample(5 * i); | |
| 91 } | |
| 92 | |
| 93 EXPECT_EQ(10u, accum.count()); | |
| 94 EXPECT_DOUBLE_EQ(875.0, accum.ComputeSum()); | |
| 95 EXPECT_DOUBLE_EQ(87.5, accum.ComputeMean()); | |
| 96 EXPECT_NEAR(105.049, accum.ComputeWeightedMean(kLearningRate), 0.1); | |
| 97 EXPECT_NEAR(229.166667, accum.ComputeVariance(), 25); | |
| 98 EXPECT_DOUBLE_EQ(65.0, accum.ComputeMin()); | |
| 99 EXPECT_DOUBLE_EQ(110.0, accum.ComputeMax()); | |
| 100 } | |
| 101 | |
| 102 TEST(RollingAccumulatorTest, ComputeWeightedMeanCornerCases) { | |
| 103 RollingAccumulator<int> accum(10); | |
| 104 EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(kLearningRate)); | |
| 105 EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(0.0)); | |
| 106 EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(1.1)); | |
| 107 | |
| 108 for (int i = 0; i < 8; ++i) { | |
| 109 accum.AddSample(i); | |
| 110 } | |
| 111 | |
| 112 EXPECT_DOUBLE_EQ(3.5, accum.ComputeMean()); | |
| 113 EXPECT_DOUBLE_EQ(3.5, accum.ComputeWeightedMean(0)); | |
| 114 EXPECT_DOUBLE_EQ(3.5, accum.ComputeWeightedMean(1.1)); | |
| 115 EXPECT_NEAR(6.0, accum.ComputeWeightedMean(kLearningRate), 0.1); | |
| 116 } | |
| 117 | |
| 118 } // namespace rtc | |
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