1 // This file is part of Eigen, a lightweight C++ template library 2 // for linear algebra. 3 // 4 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1 (at) gmail.com> 5 // 6 // This Source Code Form is subject to the terms of the Mozilla 7 // Public License v. 2.0. If a copy of the MPL was not distributed 8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9 10 #include "main.h" 11 12 template<typename MatrixType> void linearStructure(const MatrixType& m) 13 { 14 using std::abs; 15 /* this test covers the following files: 16 CwiseUnaryOp.h, CwiseBinaryOp.h, SelfCwiseBinaryOp.h 17 */ 18 typedef typename MatrixType::Index Index; 19 typedef typename MatrixType::Scalar Scalar; 20 21 Index rows = m.rows(); 22 Index cols = m.cols(); 23 24 // this test relies a lot on Random.h, and there's not much more that we can do 25 // to test it, hence I consider that we will have tested Random.h 26 MatrixType m1 = MatrixType::Random(rows, cols), 27 m2 = MatrixType::Random(rows, cols), 28 m3(rows, cols); 29 30 Scalar s1 = internal::random<Scalar>(); 31 while (abs(s1)<1e-3) s1 = internal::random<Scalar>(); 32 33 Index r = internal::random<Index>(0, rows-1), 34 c = internal::random<Index>(0, cols-1); 35 36 VERIFY_IS_APPROX(-(-m1), m1); 37 VERIFY_IS_APPROX(m1+m1, 2*m1); 38 VERIFY_IS_APPROX(m1+m2-m1, m2); 39 VERIFY_IS_APPROX(-m2+m1+m2, m1); 40 VERIFY_IS_APPROX(m1*s1, s1*m1); 41 VERIFY_IS_APPROX((m1+m2)*s1, s1*m1+s1*m2); 42 VERIFY_IS_APPROX((-m1+m2)*s1, -s1*m1+s1*m2); 43 m3 = m2; m3 += m1; 44 VERIFY_IS_APPROX(m3, m1+m2); 45 m3 = m2; m3 -= m1; 46 VERIFY_IS_APPROX(m3, m2-m1); 47 m3 = m2; m3 *= s1; 48 VERIFY_IS_APPROX(m3, s1*m2); 49 if(!NumTraits<Scalar>::IsInteger) 50 { 51 m3 = m2; m3 /= s1; 52 VERIFY_IS_APPROX(m3, m2/s1); 53 } 54 55 // again, test operator() to check const-qualification 56 VERIFY_IS_APPROX((-m1)(r,c), -(m1(r,c))); 57 VERIFY_IS_APPROX((m1-m2)(r,c), (m1(r,c))-(m2(r,c))); 58 VERIFY_IS_APPROX((m1+m2)(r,c), (m1(r,c))+(m2(r,c))); 59 VERIFY_IS_APPROX((s1*m1)(r,c), s1*(m1(r,c))); 60 VERIFY_IS_APPROX((m1*s1)(r,c), (m1(r,c))*s1); 61 if(!NumTraits<Scalar>::IsInteger) 62 VERIFY_IS_APPROX((m1/s1)(r,c), (m1(r,c))/s1); 63 64 // use .block to disable vectorization and compare to the vectorized version 65 VERIFY_IS_APPROX(m1+m1.block(0,0,rows,cols), m1+m1); 66 VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), m1.cwiseProduct(m1)); 67 VERIFY_IS_APPROX(m1 - m1.block(0,0,rows,cols), m1 - m1); 68 VERIFY_IS_APPROX(m1.block(0,0,rows,cols) * s1, m1 * s1); 69 } 70 71 void test_linearstructure() 72 { 73 for(int i = 0; i < g_repeat; i++) { 74 CALL_SUBTEST_1( linearStructure(Matrix<float, 1, 1>()) ); 75 CALL_SUBTEST_2( linearStructure(Matrix2f()) ); 76 CALL_SUBTEST_3( linearStructure(Vector3d()) ); 77 CALL_SUBTEST_4( linearStructure(Matrix4d()) ); 78 CALL_SUBTEST_5( linearStructure(MatrixXcf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2), internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) ); 79 CALL_SUBTEST_6( linearStructure(MatrixXf (internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 80 CALL_SUBTEST_7( linearStructure(MatrixXi (internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 81 CALL_SUBTEST_8( linearStructure(MatrixXcd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2), internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) ); 82 CALL_SUBTEST_9( linearStructure(ArrayXXf (internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 83 } 84 } 85
