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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2022 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:
//
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// * 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
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//
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//
// ========================================
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// ========================================
//
// This file is generated using generate_bundle_adjustment_tests.py.
#include "ceres/internal/config.h"
#include "bundle_adjustment_test_util.h"
#ifndef CERES_NO_SUITESPARSE
#ifndef CERES_NO_THREADS
namespace ceres::internal {
TEST_F(BundleAdjustmentTest,
SparseSchur_SuiteSparse_UserOrdering_Threads) { // NOLINT
BundleAdjustmentProblem bundle_adjustment_problem;
Solver::Options* options = bundle_adjustment_problem.mutable_solver_options();
options->num_threads = 4;
options->linear_solver_type = SPARSE_SCHUR;
options->dense_linear_algebra_library_type = EIGEN;
options->sparse_linear_algebra_library_type = SUITE_SPARSE;
options->preconditioner_type = IDENTITY;
if (kUserOrdering) {
options->linear_solver_ordering = nullptr;
}
Problem* problem = bundle_adjustment_problem.mutable_problem();
RunSolverForConfigAndExpectResidualsMatch(*options, problem);
}
} // namespace ceres::internal
#endif // CERES_NO_THREADS
#endif // CERES_NO_SUITESPARSE