/* * Copyright (c) 2016 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 "video/quality_threshold.h" #include "test/gtest.h" namespace webrtc { TEST(QualityThresholdTest, BackAndForth) { const int kLowThreshold = 0; const int kHighThreshold = 1; const float kFraction = 0.75f; const int kMaxMeasurements = 10; QualityThreshold thresh(kLowThreshold, kHighThreshold, kFraction, kMaxMeasurements); const int kNeededMeasurements = static_cast(kFraction * kMaxMeasurements + 1); for (int i = 0; i < kNeededMeasurements; ++i) { EXPECT_FALSE(thresh.IsHigh()); thresh.AddMeasurement(kLowThreshold); } ASSERT_TRUE(thresh.IsHigh()); for (int i = 0; i < kNeededMeasurements; ++i) { EXPECT_FALSE(*thresh.IsHigh()); thresh.AddMeasurement(kHighThreshold); } EXPECT_TRUE(*thresh.IsHigh()); for (int i = 0; i < kNeededMeasurements; ++i) { EXPECT_TRUE(*thresh.IsHigh()); thresh.AddMeasurement(kLowThreshold); } EXPECT_FALSE(*thresh.IsHigh()); } TEST(QualityThresholdTest, Variance) { const int kLowThreshold = 0; const int kHighThreshold = 1; const float kFraction = 0.8f; const int kMaxMeasurements = 10; const double kMaxError = 0.01; // Previously randomly generated values... int values[] = {51, 79, 80, 56, 19, 20, 48, 57, 48, 25, 2, 25, 38, 37, 25}; // ...with precomputed variances. double variances[] = {476.9, 687.6, 552, 336.4, 278.767, 265.167}; QualityThreshold thresh(kLowThreshold, kHighThreshold, kFraction, kMaxMeasurements); for (int i = 0; i < kMaxMeasurements; ++i) { EXPECT_FALSE(thresh.CalculateVariance()); thresh.AddMeasurement(values[i]); } ASSERT_TRUE(thresh.CalculateVariance()); EXPECT_NEAR(variances[0], *thresh.CalculateVariance(), kMaxError); for (unsigned int i = 1; i < sizeof(variances) / sizeof(double); ++i) { thresh.AddMeasurement(values[i + kMaxMeasurements - 1]); EXPECT_NEAR(variances[i], *thresh.CalculateVariance(), kMaxError); } for (int i = 0; i < kMaxMeasurements; ++i) { thresh.AddMeasurement(42); } EXPECT_NEAR(0, *thresh.CalculateVariance(), kMaxError); } TEST(QualityThresholdTest, BetweenThresholds) { const int kLowThreshold = 0; const int kHighThreshold = 2; const float kFraction = 0.6f; const int kMaxMeasurements = 10; const int kBetweenThresholds = (kLowThreshold + kHighThreshold) / 2; QualityThreshold thresh(kLowThreshold, kHighThreshold, kFraction, kMaxMeasurements); for (int i = 0; i < 2 * kMaxMeasurements; ++i) { EXPECT_FALSE(thresh.IsHigh()); thresh.AddMeasurement(kBetweenThresholds); } EXPECT_FALSE(thresh.IsHigh()); } TEST(QualityThresholdTest, FractionHigh) { const int kLowThreshold = 0; const int kHighThreshold = 2; const float kFraction = 0.75f; const int kMaxMeasurements = 10; const int kBetweenThresholds = (kLowThreshold + kHighThreshold) / 2; const int kNeededMeasurements = static_cast(kFraction * kMaxMeasurements + 1); QualityThreshold thresh(kLowThreshold, kHighThreshold, kFraction, kMaxMeasurements); for (int i = 0; i < kMaxMeasurements; ++i) { EXPECT_FALSE(thresh.FractionHigh(1)); thresh.AddMeasurement(kBetweenThresholds); } for (int i = 0; i < kNeededMeasurements; i++) { EXPECT_FALSE(thresh.FractionHigh(1)); thresh.AddMeasurement(kHighThreshold); } EXPECT_FALSE(thresh.FractionHigh(2)); ASSERT_TRUE(thresh.FractionHigh(1)); EXPECT_NEAR(*thresh.FractionHigh(1), 1, 0.001); for (int i = 0; i < kNeededMeasurements; i++) { EXPECT_NEAR(*thresh.FractionHigh(1), 1, 0.001); thresh.AddMeasurement(kLowThreshold); } EXPECT_NEAR( *thresh.FractionHigh(1), static_cast(kNeededMeasurements) / (kNeededMeasurements + 1), 0.001); } } // namespace webrtc