186 lines
6.5 KiB
C++
186 lines
6.5 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) 2019 David Tellenbach <david.tellenbach@tellnotes.org>
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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_STATIC_ASSERT
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#include "main.h"
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template <typename Scalar>
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void assertionTest()
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{
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typedef DiagonalMatrix<Scalar, 5> DiagMatrix5;
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typedef DiagonalMatrix<Scalar, 7> DiagMatrix7;
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typedef DiagonalMatrix<Scalar, Dynamic> DiagMatrixX;
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Scalar raw[6];
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for (int i = 0; i < 6; ++i) {
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raw[i] = internal::random<Scalar>();
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}
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VERIFY_RAISES_ASSERT((DiagMatrix5{raw[0], raw[1], raw[2], raw[3]}));
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VERIFY_RAISES_ASSERT((DiagMatrix5{raw[0], raw[1], raw[3]}));
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VERIFY_RAISES_ASSERT((DiagMatrix7{raw[0], raw[1], raw[2], raw[3]}));
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VERIFY_RAISES_ASSERT((DiagMatrixX {
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{raw[0], raw[1], raw[2]},
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{raw[3], raw[4], raw[5]}
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}));
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}
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#define VERIFY_IMPLICIT_CONVERSION_3(DIAGTYPE, V0, V1, V2) \
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DIAGTYPE d(V0, V1, V2); \
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DIAGTYPE::DenseMatrixType Dense = d.toDenseMatrix(); \
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VERIFY_IS_APPROX(Dense(0, 0), (Scalar)V0); \
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VERIFY_IS_APPROX(Dense(1, 1), (Scalar)V1); \
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VERIFY_IS_APPROX(Dense(2, 2), (Scalar)V2);
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#define VERIFY_IMPLICIT_CONVERSION_4(DIAGTYPE, V0, V1, V2, V3) \
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DIAGTYPE d(V0, V1, V2, V3); \
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DIAGTYPE::DenseMatrixType Dense = d.toDenseMatrix(); \
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VERIFY_IS_APPROX(Dense(0, 0), (Scalar)V0); \
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VERIFY_IS_APPROX(Dense(1, 1), (Scalar)V1); \
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VERIFY_IS_APPROX(Dense(2, 2), (Scalar)V2); \
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VERIFY_IS_APPROX(Dense(3, 3), (Scalar)V3);
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#define VERIFY_IMPLICIT_CONVERSION_5(DIAGTYPE, V0, V1, V2, V3, V4) \
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DIAGTYPE d(V0, V1, V2, V3, V4); \
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DIAGTYPE::DenseMatrixType Dense = d.toDenseMatrix(); \
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VERIFY_IS_APPROX(Dense(0, 0), (Scalar)V0); \
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VERIFY_IS_APPROX(Dense(1, 1), (Scalar)V1); \
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VERIFY_IS_APPROX(Dense(2, 2), (Scalar)V2); \
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VERIFY_IS_APPROX(Dense(3, 3), (Scalar)V3); \
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VERIFY_IS_APPROX(Dense(4, 4), (Scalar)V4);
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template<typename Scalar>
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void constructorTest()
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{
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typedef DiagonalMatrix<Scalar, 0> DiagonalMatrix0;
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typedef DiagonalMatrix<Scalar, 3> DiagonalMatrix3;
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typedef DiagonalMatrix<Scalar, 4> DiagonalMatrix4;
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typedef DiagonalMatrix<Scalar, Dynamic> DiagonalMatrixX;
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Scalar raw[7];
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for (int k = 0; k < 7; ++k) raw[k] = internal::random<Scalar>();
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// Fixed-sized matrices
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{
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DiagonalMatrix0 a {{}};
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VERIFY(a.rows() == 0);
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VERIFY(a.cols() == 0);
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typename DiagonalMatrix0::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{
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DiagonalMatrix3 a {{raw[0], raw[1], raw[2]}};
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VERIFY(a.rows() == 3);
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VERIFY(a.cols() == 3);
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typename DiagonalMatrix3::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{
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DiagonalMatrix4 a {{raw[0], raw[1], raw[2], raw[3]}};
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VERIFY(a.rows() == 4);
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VERIFY(a.cols() == 4);
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typename DiagonalMatrix4::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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// dynamically sized matrices
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{
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DiagonalMatrixX a{{}};
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VERIFY(a.rows() == 0);
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VERIFY(a.rows() == 0);
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typename DiagonalMatrixX::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{
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DiagonalMatrixX a{{raw[0], raw[1], raw[2], raw[3], raw[4], raw[5], raw[6]}};
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VERIFY(a.rows() == 7);
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VERIFY(a.rows() == 7);
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typename DiagonalMatrixX::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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}
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template<>
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void constructorTest<float>()
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{
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typedef float Scalar;
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typedef DiagonalMatrix<Scalar, 0> DiagonalMatrix0;
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typedef DiagonalMatrix<Scalar, 3> DiagonalMatrix3;
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typedef DiagonalMatrix<Scalar, 4> DiagonalMatrix4;
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typedef DiagonalMatrix<Scalar, 5> DiagonalMatrix5;
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typedef DiagonalMatrix<Scalar, Dynamic> DiagonalMatrixX;
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Scalar raw[7];
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for (int k = 0; k < 7; ++k) raw[k] = internal::random<Scalar>();
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// Fixed-sized matrices
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{
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DiagonalMatrix0 a {{}};
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VERIFY(a.rows() == 0);
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VERIFY(a.cols() == 0);
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typename DiagonalMatrix0::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{
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DiagonalMatrix3 a {{raw[0], raw[1], raw[2]}};
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VERIFY(a.rows() == 3);
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VERIFY(a.cols() == 3);
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typename DiagonalMatrix3::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{
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DiagonalMatrix4 a {{raw[0], raw[1], raw[2], raw[3]}};
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VERIFY(a.rows() == 4);
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VERIFY(a.cols() == 4);
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typename DiagonalMatrix4::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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// dynamically sized matrices
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{
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DiagonalMatrixX a{{}};
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VERIFY(a.rows() == 0);
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VERIFY(a.rows() == 0);
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typename DiagonalMatrixX::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{
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DiagonalMatrixX a{{raw[0], raw[1], raw[2], raw[3], raw[4], raw[5], raw[6]}};
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VERIFY(a.rows() == 7);
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VERIFY(a.rows() == 7);
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typename DiagonalMatrixX::DenseMatrixType m = a.toDenseMatrix();
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for (Index k = 0; k < a.rows(); ++k) VERIFY(m(k, k) == raw[k]);
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}
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{ VERIFY_IMPLICIT_CONVERSION_3(DiagonalMatrix3, 1.2647, 2.56f, -3); }
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{ VERIFY_IMPLICIT_CONVERSION_4(DiagonalMatrix4, 1.2647, 2.56f, -3, 3.23f); }
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{ VERIFY_IMPLICIT_CONVERSION_5(DiagonalMatrix5, 1.2647, 2.56f, -3, 3.23f, 2); }
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}
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EIGEN_DECLARE_TEST(diagonal_matrix_variadic_ctor)
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{
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CALL_SUBTEST_1(assertionTest<unsigned char>());
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CALL_SUBTEST_1(assertionTest<float>());
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CALL_SUBTEST_1(assertionTest<Index>());
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CALL_SUBTEST_1(assertionTest<int>());
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CALL_SUBTEST_1(assertionTest<long int>());
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CALL_SUBTEST_1(assertionTest<std::ptrdiff_t>());
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CALL_SUBTEST_1(assertionTest<std::complex<double>>());
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CALL_SUBTEST_2(constructorTest<unsigned char>());
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CALL_SUBTEST_2(constructorTest<float>());
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CALL_SUBTEST_2(constructorTest<Index>());
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CALL_SUBTEST_2(constructorTest<int>());
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CALL_SUBTEST_2(constructorTest<long int>());
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CALL_SUBTEST_2(constructorTest<std::ptrdiff_t>());
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CALL_SUBTEST_2(constructorTest<std::complex<double>>());
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}
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