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num_dimensions.cpp
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Tue, Jul 15, 08:30
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Thu, Jul 17, 08:30 (1 d, 23 h)
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rDLMA Diffusion limited mixed aggregation
num_dimensions.cpp
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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2018 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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/SparseCore>
template<int ExpectedDim,typename Xpr>
void check_dim(const Xpr& ) {
STATIC_CHECK( Xpr::NumDimensions == ExpectedDim );
}
#if EIGEN_HAS_CXX11
template<template <typename,int,int> class Object>
void map_num_dimensions()
{
typedef Object<double, 1, 1> ArrayScalarType;
typedef Object<double, 2, 1> ArrayVectorType;
typedef Object<double, 1, 2> TransposeArrayVectorType;
typedef Object<double, 2, 2> ArrayType;
typedef Object<double, Eigen::Dynamic, 1> DynamicArrayVectorType;
typedef Object<double, 1, Eigen::Dynamic> DynamicTransposeArrayVectorType;
typedef Object<double, Eigen::Dynamic, Eigen::Dynamic> DynamicArrayType;
STATIC_CHECK(ArrayScalarType::NumDimensions == 0);
STATIC_CHECK(ArrayVectorType::NumDimensions == 1);
STATIC_CHECK(TransposeArrayVectorType::NumDimensions == 1);
STATIC_CHECK(ArrayType::NumDimensions == 2);
STATIC_CHECK(DynamicArrayVectorType::NumDimensions == 1);
STATIC_CHECK(DynamicTransposeArrayVectorType::NumDimensions == 1);
STATIC_CHECK(DynamicArrayType::NumDimensions == 2);
typedef Eigen::Map<ArrayScalarType> ArrayScalarMap;
typedef Eigen::Map<ArrayVectorType> ArrayVectorMap;
typedef Eigen::Map<TransposeArrayVectorType> TransposeArrayVectorMap;
typedef Eigen::Map<ArrayType> ArrayMap;
typedef Eigen::Map<DynamicArrayVectorType> DynamicArrayVectorMap;
typedef Eigen::Map<DynamicTransposeArrayVectorType> DynamicTransposeArrayVectorMap;
typedef Eigen::Map<DynamicArrayType> DynamicArrayMap;
STATIC_CHECK(ArrayScalarMap::NumDimensions == 0);
STATIC_CHECK(ArrayVectorMap::NumDimensions == 1);
STATIC_CHECK(TransposeArrayVectorMap::NumDimensions == 1);
STATIC_CHECK(ArrayMap::NumDimensions == 2);
STATIC_CHECK(DynamicArrayVectorMap::NumDimensions == 1);
STATIC_CHECK(DynamicTransposeArrayVectorMap::NumDimensions == 1);
STATIC_CHECK(DynamicArrayMap::NumDimensions == 2);
}
template<typename Scalar, int Rows, int Cols>
using TArray = Array<Scalar,Rows,Cols>;
template<typename Scalar, int Rows, int Cols>
using TMatrix = Matrix<Scalar,Rows,Cols>;
#endif
EIGEN_DECLARE_TEST(num_dimensions)
{
int n = 10;
ArrayXXd A(n,n);
CALL_SUBTEST( check_dim<2>(A) );
CALL_SUBTEST( check_dim<2>(A.block(1,1,2,2)) );
CALL_SUBTEST( check_dim<1>(A.col(1)) );
CALL_SUBTEST( check_dim<1>(A.row(1)) );
MatrixXd M(n,n);
CALL_SUBTEST( check_dim<0>(M.row(1)*M.col(1)) );
SparseMatrix<double> S(n,n);
CALL_SUBTEST( check_dim<2>(S) );
CALL_SUBTEST( check_dim<2>(S.block(1,1,2,2)) );
CALL_SUBTEST( check_dim<1>(S.col(1)) );
CALL_SUBTEST( check_dim<1>(S.row(1)) );
SparseVector<double> s(n);
CALL_SUBTEST( check_dim<1>(s) );
CALL_SUBTEST( check_dim<1>(s.head(2)) );
#if EIGEN_HAS_CXX11
CALL_SUBTEST( map_num_dimensions<TArray>() );
CALL_SUBTEST( map_num_dimensions<TMatrix>() );
#endif
}
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