// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2010 Jitse Niesen // // Eigen is free software; you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public // License as published by the Free Software Foundation; either // version 3 of the License, or (at your option) any later version. // // Alternatively, you can redistribute it and/or // modify it under the terms of the GNU General Public License as // published by the Free Software Foundation; either version 2 of // the License, or (at your option) any later version. // // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the // GNU General Public License for more details. // // You should have received a copy of the GNU Lesser General Public // License and a copy of the GNU General Public License along with // Eigen. If not, see . #include "main.h" template bool equalsIdentity(const MatrixType& A) { typedef typename MatrixType::Scalar Scalar; Scalar zero = static_cast(0); bool offDiagOK = true; for (int i = 0; i < A.rows(); ++i) { for (int j = i+1; j < A.cols(); ++j) { offDiagOK = offDiagOK && (A(i,j) == zero); } } for (int i = 0; i < A.rows(); ++i) { for (int j = 0; j < i; ++j) { offDiagOK = offDiagOK && (A(i,j) == zero); } } bool diagOK = (A.diagonal().array() == 1).all(); return offDiagOK && diagOK; } template void testVectorType(const VectorType& base) { typedef typename ei_traits::Index Index; typedef typename ei_traits::Scalar Scalar; Scalar low = ei_random(-500,500); Scalar high = ei_random(-500,500); if (low>high) std::swap(low,high); const Index size = base.size(); const Scalar step = (high-low)/(size-1); // check whether the result yields what we expect it to do VectorType m(base); m.setLinSpaced(size,low,high); VectorType n(size); for (int i=0; i::epsilon()*10e3 ); // random access version m = VectorType::LinSpaced(size,low,high); VERIFY( (m-n).norm() < std::numeric_limits::epsilon()*10e3 ); // These guys sometimes fail! This is not good. Any ideas how to fix them!? //VERIFY( m(m.size()-1) == high ); //VERIFY( m(0) == low ); // sequential access version m = VectorType::LinSpaced(Sequential,size,low,high); VERIFY( (m-n).norm() < std::numeric_limits::epsilon()*10e3 ); // These guys sometimes fail! This is not good. Any ideas how to fix them!? //VERIFY( m(m.size()-1) == high ); //VERIFY( m(0) == low ); // check whether everything works with row and col major vectors Matrix row_vector(size); Matrix col_vector(size); row_vector.setLinSpaced(size,low,high); col_vector.setLinSpaced(size,low,high); VERIFY( row_vector.isApprox(col_vector.transpose(), NumTraits::epsilon())); Matrix size_changer(size+50); size_changer.setLinSpaced(size,low,high); VERIFY( size_changer.size() == size ); } template void testMatrixType(const MatrixType& m) { typedef typename MatrixType::Index Index; const Index rows = m.rows(); const Index cols = m.cols(); MatrixType A; A.setIdentity(rows, cols); VERIFY(equalsIdentity(A)); VERIFY(equalsIdentity(MatrixType::Identity(rows, cols))); } void test_nullary() { CALL_SUBTEST_1( testMatrixType(Matrix2d()) ); CALL_SUBTEST_2( testMatrixType(MatrixXcf(50,50)) ); CALL_SUBTEST_3( testMatrixType(MatrixXf(5,7)) ); CALL_SUBTEST_4( testVectorType(VectorXd(51)) ); CALL_SUBTEST_5( testVectorType(VectorXd(41)) ); CALL_SUBTEST_6( testVectorType(Vector3d()) ); CALL_SUBTEST_7( testVectorType(VectorXf(51)) ); CALL_SUBTEST_8( testVectorType(VectorXf(41)) ); CALL_SUBTEST_9( testVectorType(Vector3f()) ); }