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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/array_reverse.cpp
parent543edd372a5193d04b3de9f23c176ab439e51b31 (diff)
don't index Eigen
Diffstat (limited to 'eigen/test/array_reverse.cpp')
-rw-r--r--eigen/test/array_reverse.cpp145
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
-}