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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2013 Google Inc. All rights reserved.
+// http://code.google.com/p/ceres-solver/
+//
+// 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