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authorStanislaw Halik <sthalik@misaki.pl>2019-03-03 21:09:10 +0100
committerStanislaw Halik <sthalik@misaki.pl>2019-03-03 21:10:13 +0100
commitf0238cfb6997c4acfc2bd200de7295f3fa36968f (patch)
treeb215183760e4f615b9c1dabc1f116383b72a1b55 /eigen/test/conservative_resize.cpp
parent543edd372a5193d04b3de9f23c176ab439e51b31 (diff)
don't index Eigen
Diffstat (limited to 'eigen/test/conservative_resize.cpp')
-rw-r--r--eigen/test/conservative_resize.cpp133
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> >()));
- }
-}