diff options
| author | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:09:10 +0100 |
|---|---|---|
| committer | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:10:13 +0100 |
| commit | f0238cfb6997c4acfc2bd200de7295f3fa36968f (patch) | |
| tree | b215183760e4f615b9c1dabc1f116383b72a1b55 /eigen/test/array_reverse.cpp | |
| parent | 543edd372a5193d04b3de9f23c176ab439e51b31 (diff) | |
don't index Eigen
Diffstat (limited to 'eigen/test/array_reverse.cpp')
| -rw-r--r-- | eigen/test/array_reverse.cpp | 145 |
1 files changed, 0 insertions, 145 deletions
diff --git a/eigen/test/array_reverse.cpp b/eigen/test/array_reverse.cpp deleted file mode 100644 index 9d5b9a6..0000000 --- a/eigen/test/array_reverse.cpp +++ /dev/null @@ -1,145 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> -// Copyright (C) 2009 Ricard Marxer <email@ricardmarxer.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 <iostream> - -using namespace std; - -template<typename MatrixType> void reverse(const MatrixType& m) -{ - typedef typename MatrixType::Scalar Scalar; - typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; - - Index rows = m.rows(); - Index cols = m.cols(); - - // this test relies a lot on Random.h, and there's not much more that we can do - // to test it, hence I consider that we will have tested Random.h - MatrixType m1 = MatrixType::Random(rows, cols), m2; - VectorType v1 = VectorType::Random(rows); - - MatrixType m1_r = m1.reverse(); - // Verify that MatrixBase::reverse() works - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_r(i, j), m1(rows - 1 - i, cols - 1 - j)); - } - } - - Reverse<MatrixType> m1_rd(m1); - // Verify that a Reverse default (in both directions) of an expression works - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_rd(i, j), m1(rows - 1 - i, cols - 1 - j)); - } - } - - Reverse<MatrixType, BothDirections> m1_rb(m1); - // Verify that a Reverse in both directions of an expression works - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_rb(i, j), m1(rows - 1 - i, cols - 1 - j)); - } - } - - Reverse<MatrixType, Vertical> m1_rv(m1); - // Verify that a Reverse in the vertical directions of an expression works - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_rv(i, j), m1(rows - 1 - i, j)); - } - } - - Reverse<MatrixType, Horizontal> m1_rh(m1); - // Verify that a Reverse in the horizontal directions of an expression works - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_rh(i, j), m1(i, cols - 1 - j)); - } - } - - VectorType v1_r = v1.reverse(); - // Verify that a VectorType::reverse() of an expression works - for ( int i = 0; i < rows; i++ ) { - VERIFY_IS_APPROX(v1_r(i), v1(rows - 1 - i)); - } - - MatrixType m1_cr = m1.colwise().reverse(); - // Verify that PartialRedux::reverse() works (for colwise()) - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_cr(i, j), m1(rows - 1 - i, j)); - } - } - - MatrixType m1_rr = m1.rowwise().reverse(); - // Verify that PartialRedux::reverse() works (for rowwise()) - for ( int i = 0; i < rows; i++ ) { - for ( int j = 0; j < cols; j++ ) { - VERIFY_IS_APPROX(m1_rr(i, j), m1(i, cols - 1 - j)); - } - } - - Scalar x = internal::random<Scalar>(); - - Index r = internal::random<Index>(0, rows-1), - c = internal::random<Index>(0, cols-1); - - m1.reverse()(r, c) = x; - VERIFY_IS_APPROX(x, m1(rows - 1 - r, cols - 1 - c)); - - m2 = m1; - m2.reverseInPlace(); - VERIFY_IS_APPROX(m2,m1.reverse().eval()); - - m2 = m1; - m2.col(0).reverseInPlace(); - VERIFY_IS_APPROX(m2.col(0),m1.col(0).reverse().eval()); - - m2 = m1; - m2.row(0).reverseInPlace(); - VERIFY_IS_APPROX(m2.row(0),m1.row(0).reverse().eval()); - - m2 = m1; - m2.rowwise().reverseInPlace(); - VERIFY_IS_APPROX(m2,m1.rowwise().reverse().eval()); - - m2 = m1; - m2.colwise().reverseInPlace(); - VERIFY_IS_APPROX(m2,m1.colwise().reverse().eval()); - - m1.colwise().reverse()(r, c) = x; - VERIFY_IS_APPROX(x, m1(rows - 1 - r, c)); - - m1.rowwise().reverse()(r, c) = x; - VERIFY_IS_APPROX(x, m1(r, cols - 1 - c)); -} - -void test_array_reverse() -{ - for(int i = 0; i < g_repeat; i++) { - CALL_SUBTEST_1( reverse(Matrix<float, 1, 1>()) ); - CALL_SUBTEST_2( reverse(Matrix2f()) ); - CALL_SUBTEST_3( reverse(Matrix4f()) ); - CALL_SUBTEST_4( reverse(Matrix4d()) ); - CALL_SUBTEST_5( reverse(MatrixXcf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); - CALL_SUBTEST_6( reverse(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); - CALL_SUBTEST_7( reverse(MatrixXcd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); - CALL_SUBTEST_8( reverse(Matrix<float, 100, 100>()) ); - CALL_SUBTEST_9( reverse(Matrix<float,Dynamic,Dynamic,RowMajor>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); - } -#ifdef EIGEN_TEST_PART_3 - Vector4f x; x << 1, 2, 3, 4; - Vector4f y; y << 4, 3, 2, 1; - VERIFY(x.reverse()[1] == 3); - VERIFY(x.reverse() == y); -#endif -} |
