106 lines
4.0 KiB
C++
106 lines
4.0 KiB
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) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
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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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#include "main.h"
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template<typename MatrixType> void diagonal(const MatrixType& m)
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{
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typedef typename MatrixType::Scalar Scalar;
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Index rows = m.rows();
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Index cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols);
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Scalar s1 = internal::random<Scalar>();
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//check diagonal()
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VERIFY_IS_APPROX(m1.diagonal(), m1.transpose().diagonal());
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m2.diagonal() = 2 * m1.diagonal();
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m2.diagonal()[0] *= 3;
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if (rows>2)
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{
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enum {
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N1 = MatrixType::RowsAtCompileTime>2 ? 2 : 0,
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N2 = MatrixType::RowsAtCompileTime>1 ? -1 : 0
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};
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// check sub/super diagonal
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if(MatrixType::SizeAtCompileTime!=Dynamic)
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{
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VERIFY(m1.template diagonal<N1>().RowsAtCompileTime == m1.diagonal(N1).size());
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VERIFY(m1.template diagonal<N2>().RowsAtCompileTime == m1.diagonal(N2).size());
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}
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m2.template diagonal<N1>() = 2 * m1.template diagonal<N1>();
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VERIFY_IS_APPROX(m2.template diagonal<N1>(), static_cast<Scalar>(2) * m1.diagonal(N1));
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m2.template diagonal<N1>()[0] *= 3;
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VERIFY_IS_APPROX(m2.template diagonal<N1>()[0], static_cast<Scalar>(6) * m1.template diagonal<N1>()[0]);
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m2.template diagonal<N2>() = 2 * m1.template diagonal<N2>();
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m2.template diagonal<N2>()[0] *= 3;
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VERIFY_IS_APPROX(m2.template diagonal<N2>()[0], static_cast<Scalar>(6) * m1.template diagonal<N2>()[0]);
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m2.diagonal(N1) = 2 * m1.diagonal(N1);
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VERIFY_IS_APPROX(m2.template diagonal<N1>(), static_cast<Scalar>(2) * m1.diagonal(N1));
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m2.diagonal(N1)[0] *= 3;
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VERIFY_IS_APPROX(m2.diagonal(N1)[0], static_cast<Scalar>(6) * m1.diagonal(N1)[0]);
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m2.diagonal(N2) = 2 * m1.diagonal(N2);
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VERIFY_IS_APPROX(m2.template diagonal<N2>(), static_cast<Scalar>(2) * m1.diagonal(N2));
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m2.diagonal(N2)[0] *= 3;
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VERIFY_IS_APPROX(m2.diagonal(N2)[0], static_cast<Scalar>(6) * m1.diagonal(N2)[0]);
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m2.diagonal(N2).x() = s1;
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VERIFY_IS_APPROX(m2.diagonal(N2).x(), s1);
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m2.diagonal(N2).coeffRef(0) = Scalar(2)*s1;
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VERIFY_IS_APPROX(m2.diagonal(N2).coeff(0), Scalar(2)*s1);
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}
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VERIFY( m1.diagonal( cols).size()==0 );
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VERIFY( m1.diagonal(-rows).size()==0 );
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}
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template<typename MatrixType> void diagonal_assert(const MatrixType& m) {
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Index rows = m.rows();
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Index cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols);
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if (rows>=2 && cols>=2)
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{
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VERIFY_RAISES_ASSERT( m1 += m1.diagonal() );
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VERIFY_RAISES_ASSERT( m1 -= m1.diagonal() );
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VERIFY_RAISES_ASSERT( m1.array() *= m1.diagonal().array() );
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VERIFY_RAISES_ASSERT( m1.array() /= m1.diagonal().array() );
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}
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VERIFY_RAISES_ASSERT( m1.diagonal(cols+1) );
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VERIFY_RAISES_ASSERT( m1.diagonal(-(rows+1)) );
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}
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EIGEN_DECLARE_TEST(diagonal)
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( diagonal(Matrix<float, 1, 1>()) );
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CALL_SUBTEST_1( diagonal(Matrix<float, 4, 9>()) );
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CALL_SUBTEST_1( diagonal(Matrix<float, 7, 3>()) );
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CALL_SUBTEST_2( diagonal(Matrix4d()) );
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CALL_SUBTEST_2( diagonal(MatrixXcf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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CALL_SUBTEST_2( diagonal(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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CALL_SUBTEST_2( diagonal(MatrixXcd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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CALL_SUBTEST_1( diagonal(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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CALL_SUBTEST_1( diagonal(Matrix<float,Dynamic,4>(3, 4)) );
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CALL_SUBTEST_1( diagonal_assert(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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}
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}
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