| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2015 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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR// 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 {namespace 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 != NULL) {    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 != NULL) {    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 != NULL) {    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 internal}  // namespace ceres
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