[136] | 1 | // This file is part of Eigen, a lightweight C++ template library
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| 2 | // for linear algebra.
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| 3 | //
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| 4 | // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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| 5 | // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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| 6 | //
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| 7 | // This Source Code Form is subject to the terms of the Mozilla
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| 8 | // Public License v. 2.0. If a copy of the MPL was not distributed
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| 9 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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| 10 |
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| 11 | #define EIGEN2_SUPPORT
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| 12 | #define EIGEN_NO_EIGEN2_DEPRECATED_WARNING
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| 13 |
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| 14 | #define EIGEN_NO_STATIC_ASSERT
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| 15 | #include "main.h"
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| 16 | #include <functional>
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| 17 |
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| 18 | #ifdef min
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| 19 | #undef min
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| 20 | #endif
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| 21 |
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| 22 | #ifdef max
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| 23 | #undef max
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| 24 | #endif
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| 25 |
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| 26 | using namespace std;
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| 27 |
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| 28 | template<typename Scalar> struct AddIfNull {
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| 29 | const Scalar operator() (const Scalar a, const Scalar b) const {return a<=1e-3 ? b : a;}
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| 30 | enum { Cost = NumTraits<Scalar>::AddCost };
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| 31 | };
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| 32 |
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| 33 | template<typename MatrixType>
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| 34 | typename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type
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| 35 | cwiseops_real_only(MatrixType& m1, MatrixType& m2, MatrixType& m3, MatrixType& mones)
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| 36 | {
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| 37 | typedef typename MatrixType::Scalar Scalar;
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| 38 | typedef typename NumTraits<Scalar>::Real RealScalar;
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| 39 |
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| 40 | VERIFY_IS_APPROX(m1.cwise() / m2, m1.cwise() * (m2.cwise().inverse()));
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| 41 | m3 = m1.cwise().abs().cwise().sqrt();
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| 42 | VERIFY_IS_APPROX(m3.cwise().square(), m1.cwise().abs());
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| 43 | VERIFY_IS_APPROX(m1.cwise().square().cwise().sqrt(), m1.cwise().abs());
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| 44 | VERIFY_IS_APPROX(m1.cwise().abs().cwise().log().cwise().exp() , m1.cwise().abs());
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| 45 |
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| 46 | VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().square());
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| 47 | m3 = (m1.cwise().abs().cwise()<=RealScalar(0.01)).select(mones,m1);
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| 48 | VERIFY_IS_APPROX(m3.cwise().pow(-1), m3.cwise().inverse());
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| 49 | m3 = m1.cwise().abs();
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| 50 | VERIFY_IS_APPROX(m3.cwise().pow(RealScalar(0.5)), m3.cwise().sqrt());
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| 51 |
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| 52 | // VERIFY_IS_APPROX(m1.cwise().tan(), m1.cwise().sin().cwise() / m1.cwise().cos());
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| 53 | VERIFY_IS_APPROX(mones, m1.cwise().sin().cwise().square() + m1.cwise().cos().cwise().square());
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| 54 | m3 = m1;
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| 55 | m3.cwise() /= m2;
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| 56 | VERIFY_IS_APPROX(m3, m1.cwise() / m2);
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| 57 |
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| 58 | return Scalar(0);
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| 59 | }
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| 60 |
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| 61 | template<typename MatrixType>
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| 62 | typename Eigen::internal::enable_if<NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type
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| 63 | cwiseops_real_only(MatrixType& , MatrixType& , MatrixType& , MatrixType& )
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| 64 | {
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| 65 | return 0;
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| 66 | }
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| 67 |
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| 68 | template<typename MatrixType> void cwiseops(const MatrixType& m)
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| 69 | {
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| 70 | typedef typename MatrixType::Index Index;
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| 71 | typedef typename MatrixType::Scalar Scalar;
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| 72 | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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| 73 |
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| 74 | Index rows = m.rows();
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| 75 | Index cols = m.cols();
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| 76 |
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| 77 | MatrixType m1 = MatrixType::Random(rows, cols),
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| 78 | m1bis = m1,
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| 79 | m2 = MatrixType::Random(rows, cols),
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| 80 | m3(rows, cols),
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| 81 | m4(rows, cols),
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| 82 | mzero = MatrixType::Zero(rows, cols),
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| 83 | mones = MatrixType::Ones(rows, cols),
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| 84 | identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
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| 85 | ::Identity(rows, rows);
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| 86 | VectorType vzero = VectorType::Zero(rows),
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| 87 | vones = VectorType::Ones(rows),
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| 88 | v3(rows);
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| 89 |
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| 90 | Index r = internal::random<Index>(0, rows-1),
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| 91 | c = internal::random<Index>(0, cols-1);
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| 92 |
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| 93 | Scalar s1 = internal::random<Scalar>();
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| 94 |
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| 95 | // test Zero, Ones, Constant, and the set* variants
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| 96 | m3 = MatrixType::Constant(rows, cols, s1);
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| 97 | for (int j=0; j<cols; ++j)
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| 98 | for (int i=0; i<rows; ++i)
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| 99 | {
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| 100 | VERIFY_IS_APPROX(mzero(i,j), Scalar(0));
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| 101 | VERIFY_IS_APPROX(mones(i,j), Scalar(1));
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| 102 | VERIFY_IS_APPROX(m3(i,j), s1);
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| 103 | }
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| 104 | VERIFY(mzero.isZero());
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| 105 | VERIFY(mones.isOnes());
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| 106 | VERIFY(m3.isConstant(s1));
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| 107 | VERIFY(identity.isIdentity());
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| 108 | VERIFY_IS_APPROX(m4.setConstant(s1), m3);
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| 109 | VERIFY_IS_APPROX(m4.setConstant(rows,cols,s1), m3);
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| 110 | VERIFY_IS_APPROX(m4.setZero(), mzero);
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| 111 | VERIFY_IS_APPROX(m4.setZero(rows,cols), mzero);
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| 112 | VERIFY_IS_APPROX(m4.setOnes(), mones);
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| 113 | VERIFY_IS_APPROX(m4.setOnes(rows,cols), mones);
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| 114 | m4.fill(s1);
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| 115 | VERIFY_IS_APPROX(m4, m3);
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| 116 |
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| 117 | VERIFY_IS_APPROX(v3.setConstant(rows, s1), VectorType::Constant(rows,s1));
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| 118 | VERIFY_IS_APPROX(v3.setZero(rows), vzero);
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| 119 | VERIFY_IS_APPROX(v3.setOnes(rows), vones);
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| 120 |
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| 121 | m2 = m2.template binaryExpr<AddIfNull<Scalar> >(mones);
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| 122 |
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| 123 | VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().abs2());
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| 124 | VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().square());
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| 125 | VERIFY_IS_APPROX(m1.cwise().pow(3), m1.cwise().cube());
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| 126 |
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| 127 | VERIFY_IS_APPROX(m1 + mones, m1.cwise()+Scalar(1));
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| 128 | VERIFY_IS_APPROX(m1 - mones, m1.cwise()-Scalar(1));
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| 129 | m3 = m1; m3.cwise() += 1;
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| 130 | VERIFY_IS_APPROX(m1 + mones, m3);
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| 131 | m3 = m1; m3.cwise() -= 1;
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| 132 | VERIFY_IS_APPROX(m1 - mones, m3);
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| 133 |
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| 134 | VERIFY_IS_APPROX(m2, m2.cwise() * mones);
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| 135 | VERIFY_IS_APPROX(m1.cwise() * m2, m2.cwise() * m1);
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| 136 | m3 = m1;
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| 137 | m3.cwise() *= m2;
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| 138 | VERIFY_IS_APPROX(m3, m1.cwise() * m2);
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| 139 |
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| 140 | VERIFY_IS_APPROX(mones, m2.cwise()/m2);
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| 141 |
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| 142 | // check min
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| 143 | VERIFY_IS_APPROX( m1.cwise().min(m2), m2.cwise().min(m1) );
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| 144 | VERIFY_IS_APPROX( m1.cwise().min(m1+mones), m1 );
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| 145 | VERIFY_IS_APPROX( m1.cwise().min(m1-mones), m1-mones );
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| 146 |
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| 147 | // check max
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| 148 | VERIFY_IS_APPROX( m1.cwise().max(m2), m2.cwise().max(m1) );
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| 149 | VERIFY_IS_APPROX( m1.cwise().max(m1-mones), m1 );
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| 150 | VERIFY_IS_APPROX( m1.cwise().max(m1+mones), m1+mones );
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| 151 |
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| 152 | VERIFY( (m1.cwise() == m1).all() );
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| 153 | VERIFY( (m1.cwise() != m2).any() );
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| 154 | VERIFY(!(m1.cwise() == (m1+mones)).any() );
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| 155 | if (rows*cols>1)
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| 156 | {
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| 157 | m3 = m1;
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| 158 | m3(r,c) += 1;
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| 159 | VERIFY( (m1.cwise() == m3).any() );
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| 160 | VERIFY( !(m1.cwise() == m3).all() );
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| 161 | }
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| 162 | VERIFY( (m1.cwise().min(m2).cwise() <= m2).all() );
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| 163 | VERIFY( (m1.cwise().max(m2).cwise() >= m2).all() );
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| 164 | VERIFY( (m1.cwise().min(m2).cwise() < (m1+mones)).all() );
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| 165 | VERIFY( (m1.cwise().max(m2).cwise() > (m1-mones)).all() );
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| 166 |
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| 167 | VERIFY( (m1.cwise()<m1.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).all() );
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| 168 | VERIFY( !(m1.cwise()<m1bis.unaryExpr(bind2nd(minus<Scalar>(), Scalar(1)))).all() );
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| 169 | VERIFY( !(m1.cwise()>m1bis.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).any() );
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| 170 |
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| 171 | cwiseops_real_only(m1, m2, m3, mones);
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| 172 | }
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| 173 |
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| 174 | void test_cwiseop()
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| 175 | {
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| 176 | for(int i = 0; i < g_repeat ; i++) {
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| 177 | CALL_SUBTEST_1( cwiseops(Matrix<float, 1, 1>()) );
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| 178 | CALL_SUBTEST_2( cwiseops(Matrix4d()) );
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| 179 | CALL_SUBTEST_3( cwiseops(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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| 180 | CALL_SUBTEST_4( cwiseops(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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| 181 | CALL_SUBTEST_5( cwiseops(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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| 182 | CALL_SUBTEST_6( cwiseops(MatrixXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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| 183 | }
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| 184 | }
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