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82f0ce2726
This provide several advantages: - more flexibility in designing unit tests - unit tests can be glued to speed up compilation - unit tests are compiled with same predefined macros, which is a requirement for zapcc
33 lines
955 B
C++
33 lines
955 B
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#define EIGEN_NO_DEBUG_SMALL_PRODUCT_BLOCKS
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#include "sparse_solver.h"
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#include <Eigen/KLUSupport>
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template<typename T> void test_klu_support_T()
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{
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KLU<SparseMatrix<T, ColMajor> > klu_colmajor;
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KLU<SparseMatrix<T, RowMajor> > klu_rowmajor;
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check_sparse_square_solving(klu_colmajor);
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check_sparse_square_solving(klu_rowmajor);
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//check_sparse_square_determinant(umfpack_colmajor);
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//check_sparse_square_determinant(umfpack_rowmajor);
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}
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EIGEN_DECLARE_TEST(klu_support)
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{
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CALL_SUBTEST_1(test_klu_support_T<double>());
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CALL_SUBTEST_2(test_klu_support_T<std::complex<double> >());
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}
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