diff options
author | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:09:10 +0100 |
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committer | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:10:13 +0100 |
commit | f0238cfb6997c4acfc2bd200de7295f3fa36968f (patch) | |
tree | b215183760e4f615b9c1dabc1f116383b72a1b55 /eigen/test/conservative_resize.cpp | |
parent | 543edd372a5193d04b3de9f23c176ab439e51b31 (diff) |
don't index Eigen
Diffstat (limited to 'eigen/test/conservative_resize.cpp')
-rw-r--r-- | eigen/test/conservative_resize.cpp | 133 |
1 files changed, 0 insertions, 133 deletions
diff --git a/eigen/test/conservative_resize.cpp b/eigen/test/conservative_resize.cpp deleted file mode 100644 index 21a1db4..0000000 --- a/eigen/test/conservative_resize.cpp +++ /dev/null @@ -1,133 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2009 Hauke Heibel <hauke.heibel@gmail.com> -// -// This Source Code Form is subject to the terms of the Mozilla -// Public License v. 2.0. If a copy of the MPL was not distributed -// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. - -#include "main.h" - -#include <Eigen/Core> - -using namespace Eigen; - -template <typename Scalar, int Storage> -void run_matrix_tests() -{ - typedef Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic, Storage> MatrixType; - - MatrixType m, n; - - // boundary cases ... - m = n = MatrixType::Random(50,50); - m.conservativeResize(1,50); - VERIFY_IS_APPROX(m, n.block(0,0,1,50)); - - m = n = MatrixType::Random(50,50); - m.conservativeResize(50,1); - VERIFY_IS_APPROX(m, n.block(0,0,50,1)); - - m = n = MatrixType::Random(50,50); - m.conservativeResize(50,50); - VERIFY_IS_APPROX(m, n.block(0,0,50,50)); - - // random shrinking ... - for (int i=0; i<25; ++i) - { - const Index rows = internal::random<Index>(1,50); - const Index cols = internal::random<Index>(1,50); - m = n = MatrixType::Random(50,50); - m.conservativeResize(rows,cols); - VERIFY_IS_APPROX(m, n.block(0,0,rows,cols)); - } - - // random growing with zeroing ... - for (int i=0; i<25; ++i) - { - const Index rows = internal::random<Index>(50,75); - const Index cols = internal::random<Index>(50,75); - m = n = MatrixType::Random(50,50); - m.conservativeResizeLike(MatrixType::Zero(rows,cols)); - VERIFY_IS_APPROX(m.block(0,0,n.rows(),n.cols()), n); - VERIFY( rows<=50 || m.block(50,0,rows-50,cols).sum() == Scalar(0) ); - VERIFY( cols<=50 || m.block(0,50,rows,cols-50).sum() == Scalar(0) ); - } -} - -template <typename Scalar> -void run_vector_tests() -{ - typedef Matrix<Scalar, 1, Eigen::Dynamic> VectorType; - - VectorType m, n; - - // boundary cases ... - m = n = VectorType::Random(50); - m.conservativeResize(1); - VERIFY_IS_APPROX(m, n.segment(0,1)); - - m = n = VectorType::Random(50); - m.conservativeResize(50); - VERIFY_IS_APPROX(m, n.segment(0,50)); - - m = n = VectorType::Random(50); - m.conservativeResize(m.rows(),1); - VERIFY_IS_APPROX(m, n.segment(0,1)); - - m = n = VectorType::Random(50); - m.conservativeResize(m.rows(),50); - VERIFY_IS_APPROX(m, n.segment(0,50)); - - // random shrinking ... - for (int i=0; i<50; ++i) - { - const int size = internal::random<int>(1,50); - m = n = VectorType::Random(50); - m.conservativeResize(size); - VERIFY_IS_APPROX(m, n.segment(0,size)); - - m = n = VectorType::Random(50); - m.conservativeResize(m.rows(), size); - VERIFY_IS_APPROX(m, n.segment(0,size)); - } - - // random growing with zeroing ... - for (int i=0; i<50; ++i) - { - const int size = internal::random<int>(50,100); - m = n = VectorType::Random(50); - m.conservativeResizeLike(VectorType::Zero(size)); - VERIFY_IS_APPROX(m.segment(0,50), n); - VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) ); - - m = n = VectorType::Random(50); - m.conservativeResizeLike(Matrix<Scalar,Dynamic,Dynamic>::Zero(1,size)); - VERIFY_IS_APPROX(m.segment(0,50), n); - VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) ); - } -} - -void test_conservative_resize() -{ - for(int i=0; i<g_repeat; ++i) - { - CALL_SUBTEST_1((run_matrix_tests<int, Eigen::RowMajor>())); - CALL_SUBTEST_1((run_matrix_tests<int, Eigen::ColMajor>())); - CALL_SUBTEST_2((run_matrix_tests<float, Eigen::RowMajor>())); - CALL_SUBTEST_2((run_matrix_tests<float, Eigen::ColMajor>())); - CALL_SUBTEST_3((run_matrix_tests<double, Eigen::RowMajor>())); - CALL_SUBTEST_3((run_matrix_tests<double, Eigen::ColMajor>())); - CALL_SUBTEST_4((run_matrix_tests<std::complex<float>, Eigen::RowMajor>())); - CALL_SUBTEST_4((run_matrix_tests<std::complex<float>, Eigen::ColMajor>())); - CALL_SUBTEST_5((run_matrix_tests<std::complex<double>, Eigen::RowMajor>())); - CALL_SUBTEST_6((run_matrix_tests<std::complex<double>, Eigen::ColMajor>())); - - CALL_SUBTEST_1((run_vector_tests<int>())); - CALL_SUBTEST_2((run_vector_tests<float>())); - CALL_SUBTEST_3((run_vector_tests<double>())); - CALL_SUBTEST_4((run_vector_tests<std::complex<float> >())); - CALL_SUBTEST_5((run_vector_tests<std::complex<double> >())); - } -} |