|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2023 Google Inc. All rights reserved. | 
|  | // http://ceres-solver.org/ | 
|  | // | 
|  | // Redistribution and use in source and binary forms, with or without | 
|  | // modification, are permitted provided that the following conditions are met: | 
|  | // | 
|  | // * Redistributions of source code must retain the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer. | 
|  | // * Redistributions in binary form must reproduce the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer in the documentation | 
|  | //   and/or other materials provided with the distribution. | 
|  | // * Neither the name of Google Inc. nor the names of its contributors may be | 
|  | //   used to endorse or promote products derived from this software without | 
|  | //   specific prior written permission. | 
|  | // | 
|  | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
|  | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
|  | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
|  | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
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|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
|  | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
|  | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
|  | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
|  | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
|  | // POSSIBILITY OF SUCH DAMAGE. | 
|  | // | 
|  | // Author: keir@google.com (Keir Mierle) | 
|  | //         sameeragarwal@google.com (Sameer Agarwal) | 
|  |  | 
|  | #include "ceres/evaluator_test_utils.h" | 
|  |  | 
|  | #include "ceres/internal/eigen.h" | 
|  | #include "gtest/gtest.h" | 
|  |  | 
|  | namespace ceres::internal { | 
|  |  | 
|  | void CompareEvaluations(int expected_num_rows, | 
|  | int expected_num_cols, | 
|  | double expected_cost, | 
|  | const double* expected_residuals, | 
|  | const double* expected_gradient, | 
|  | const double* expected_jacobian, | 
|  | const double actual_cost, | 
|  | const double* actual_residuals, | 
|  | const double* actual_gradient, | 
|  | const double* actual_jacobian) { | 
|  | EXPECT_EQ(expected_cost, actual_cost); | 
|  |  | 
|  | if (expected_residuals != nullptr) { | 
|  | ConstVectorRef expected_residuals_vector(expected_residuals, | 
|  | expected_num_rows); | 
|  | ConstVectorRef actual_residuals_vector(actual_residuals, expected_num_rows); | 
|  | EXPECT_TRUE( | 
|  | (actual_residuals_vector.array() == expected_residuals_vector.array()) | 
|  | .all()) | 
|  | << "Actual:\n" | 
|  | << actual_residuals_vector << "\nExpected:\n" | 
|  | << expected_residuals_vector; | 
|  | } | 
|  |  | 
|  | if (expected_gradient != nullptr) { | 
|  | ConstVectorRef expected_gradient_vector(expected_gradient, | 
|  | expected_num_cols); | 
|  | ConstVectorRef actual_gradient_vector(actual_gradient, expected_num_cols); | 
|  |  | 
|  | EXPECT_TRUE( | 
|  | (actual_gradient_vector.array() == expected_gradient_vector.array()) | 
|  | .all()) | 
|  | << "Actual:\n" | 
|  | << actual_gradient_vector.transpose() << "\nExpected:\n" | 
|  | << expected_gradient_vector.transpose(); | 
|  | } | 
|  |  | 
|  | if (expected_jacobian != nullptr) { | 
|  | ConstMatrixRef expected_jacobian_matrix( | 
|  | expected_jacobian, expected_num_rows, expected_num_cols); | 
|  | ConstMatrixRef actual_jacobian_matrix( | 
|  | actual_jacobian, expected_num_rows, expected_num_cols); | 
|  | EXPECT_TRUE( | 
|  | (actual_jacobian_matrix.array() == expected_jacobian_matrix.array()) | 
|  | .all()) | 
|  | << "Actual:\n" | 
|  | << actual_jacobian_matrix << "\nExpected:\n" | 
|  | << expected_jacobian_matrix; | 
|  | } | 
|  | } | 
|  |  | 
|  | }  // namespace ceres::internal |