henrike@webrtc.org | f048872 | 2014-05-13 18:00:26 | [diff] [blame] | 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 | |
Mirko Bonadei | 92ea95e | 2017-09-15 04:47:31 | [diff] [blame] | 11 | #include "rtc_base/rollingaccumulator.h" |
| 12 | #include "rtc_base/gunit.h" |
henrike@webrtc.org | f048872 | 2014-05-13 18:00:26 | [diff] [blame] | 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 |