* Copyright (c) 2018 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 "rtc_tools/frame_analyzer/linear_least_squares.h"
#include <cstdint>
#include "test/gtest.h"
namespace webrtc {
namespace test {
TEST(LinearLeastSquares, ScalarIdentityOneObservation) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1}}, {{1}});
EXPECT_EQ(std::vector<std::vector<double>>({{1.0}}), lls.GetBestSolution());
}
TEST(LinearLeastSquares, ScalarIdentityTwoObservationsOneCall) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1, 2}}, {{1, 2}});
EXPECT_EQ(std::vector<std::vector<double>>({{1.0}}), lls.GetBestSolution());
}
TEST(LinearLeastSquares, ScalarIdentityTwoObservationsTwoCalls) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1}}, {{1}});
lls.AddObservations({{2}}, {{2}});
EXPECT_EQ(std::vector<std::vector<double>>({{1.0}}), lls.GetBestSolution());
}
TEST(LinearLeastSquares, MatrixIdentityOneObservation) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1, 2}, {3, 4}}, {{1, 2}, {3, 4}});
EXPECT_EQ(std::vector<std::vector<double>>({{1.0, 0.0}, {0.0, 1.0}}),
lls.GetBestSolution());
}
TEST(LinearLeastSquares, MatrixManyObservations) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1}, {2}}, {{5}, {11}});
lls.AddObservations({{3}, {4}}, {{11}, {25}});
lls.AddObservations({{5}, {6}}, {{17}, {39}});
const std::vector<std::vector<double>> result = lls.GetBestSolution();
EXPECT_DOUBLE_EQ(1.0, result[0][0]);
EXPECT_DOUBLE_EQ(2.0, result[0][1]);
EXPECT_DOUBLE_EQ(3.0, result[1][0]);
EXPECT_DOUBLE_EQ(4.0, result[1][1]);
}
TEST(LinearLeastSquares, MatrixVectorOneObservation) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1, 3, 5}, {2, 4, 6}}, {{5, 11, 17}});
const std::vector<std::vector<double>> result = lls.GetBestSolution();
EXPECT_DOUBLE_EQ(1.0, result[0][0]);
EXPECT_DOUBLE_EQ(2.0, result[0][1]);
}
TEST(LinearLeastSquares, LinearLeastSquaresNonPerfectSolution) {
IncrementalLinearLeastSquares lls;
lls.AddObservations({{1, 2, 3, 2, 1}}, {{21, 39, 60, 41, 19}});
EXPECT_DOUBLE_EQ(20.0, lls.GetBestSolution()[0][0]);
}
}
}