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This is a follow-up to https://webrtc-review.googlesource.com/c/src/+/106280. This time the whole code base is covered. Some files may have not been fixed though, whenever the IWYU tool was breaking the build. Bug: webrtc:8311 Change-Id: I2c31f552a87e887d33931d46e87b6208b1e483ef Reviewed-on: https://webrtc-review.googlesource.com/c/111965 Commit-Queue: Yves Gerey <yvesg@google.com> Reviewed-by: Karl Wiberg <kwiberg@webrtc.org> Reviewed-by: Mirko Bonadei <mbonadei@webrtc.org> Cr-Commit-Position: refs/heads/master@{#25830}
93 lines
3.1 KiB
C++
93 lines
3.1 KiB
C++
/*
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* Copyright (c) 2018 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "rtc_tools/frame_analyzer/linear_least_squares.h"
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#include <cstdint>
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#include "test/gtest.h"
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namespace webrtc {
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namespace test {
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TEST(LinearLeastSquares, ScalarIdentityOneObservation) {
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IncrementalLinearLeastSquares lls;
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lls.AddObservations({{1}}, {{1}});
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EXPECT_EQ(std::vector<std::vector<double>>({{1.0}}), lls.GetBestSolution());
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}
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TEST(LinearLeastSquares, ScalarIdentityTwoObservationsOneCall) {
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IncrementalLinearLeastSquares lls;
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lls.AddObservations({{1, 2}}, {{1, 2}});
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EXPECT_EQ(std::vector<std::vector<double>>({{1.0}}), lls.GetBestSolution());
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}
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TEST(LinearLeastSquares, ScalarIdentityTwoObservationsTwoCalls) {
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IncrementalLinearLeastSquares lls;
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lls.AddObservations({{1}}, {{1}});
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lls.AddObservations({{2}}, {{2}});
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EXPECT_EQ(std::vector<std::vector<double>>({{1.0}}), lls.GetBestSolution());
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}
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TEST(LinearLeastSquares, MatrixIdentityOneObservation) {
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IncrementalLinearLeastSquares lls;
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lls.AddObservations({{1, 2}, {3, 4}}, {{1, 2}, {3, 4}});
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EXPECT_EQ(std::vector<std::vector<double>>({{1.0, 0.0}, {0.0, 1.0}}),
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lls.GetBestSolution());
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}
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TEST(LinearLeastSquares, MatrixManyObservations) {
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IncrementalLinearLeastSquares lls;
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// Test that we can find the solution of the overspecified equation system:
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// [1, 2] [1, 3] = [5, 11]
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// [3, 4] [2, 4] [11, 25]
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// [5, 6] [17, 39]
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lls.AddObservations({{1}, {2}}, {{5}, {11}});
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lls.AddObservations({{3}, {4}}, {{11}, {25}});
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lls.AddObservations({{5}, {6}}, {{17}, {39}});
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const std::vector<std::vector<double>> result = lls.GetBestSolution();
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// We allow some numerical flexibility here.
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EXPECT_DOUBLE_EQ(1.0, result[0][0]);
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EXPECT_DOUBLE_EQ(2.0, result[0][1]);
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EXPECT_DOUBLE_EQ(3.0, result[1][0]);
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EXPECT_DOUBLE_EQ(4.0, result[1][1]);
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}
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TEST(LinearLeastSquares, MatrixVectorOneObservation) {
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IncrementalLinearLeastSquares lls;
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// Test that we can find the solution of the overspecified equation system:
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// [1, 2] [1] = [5]
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// [3, 4] [2] [11]
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// [5, 6] [17]
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lls.AddObservations({{1, 3, 5}, {2, 4, 6}}, {{5, 11, 17}});
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const std::vector<std::vector<double>> result = lls.GetBestSolution();
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// We allow some numerical flexibility here.
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EXPECT_DOUBLE_EQ(1.0, result[0][0]);
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EXPECT_DOUBLE_EQ(2.0, result[0][1]);
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}
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TEST(LinearLeastSquares, LinearLeastSquaresNonPerfectSolution) {
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IncrementalLinearLeastSquares lls;
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// Test that we can find the non-perfect solution of the overspecified
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// equation system:
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// [1] [20] = [21]
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// [2] [39]
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// [3] [60]
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// [2] [41]
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// [1] [19]
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lls.AddObservations({{1, 2, 3, 2, 1}}, {{21, 39, 60, 41, 19}});
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EXPECT_DOUBLE_EQ(20.0, lls.GetBestSolution()[0][0]);
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}
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} // namespace test
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} // namespace webrtc
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