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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/Eigen/src/Core/Array.h
parent543edd372a5193d04b3de9f23c176ab439e51b31 (diff)
don't index Eigen
Diffstat (limited to 'eigen/Eigen/src/Core/Array.h')
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1 files changed, 0 insertions, 329 deletions
diff --git a/eigen/Eigen/src/Core/Array.h b/eigen/Eigen/src/Core/Array.h
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--- a/eigen/Eigen/src/Core/Array.h
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@@ -1,329 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 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/.
-
-#ifndef EIGEN_ARRAY_H
-#define EIGEN_ARRAY_H
-
-namespace Eigen {
-
-namespace internal {
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
-{
- typedef ArrayXpr XprKind;
- typedef ArrayBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > XprBase;
-};
-}
-
-/** \class Array
- * \ingroup Core_Module
- *
- * \brief General-purpose arrays with easy API for coefficient-wise operations
- *
- * The %Array class is very similar to the Matrix class. It provides
- * general-purpose one- and two-dimensional arrays. The difference between the
- * %Array and the %Matrix class is primarily in the API: the API for the
- * %Array class provides easy access to coefficient-wise operations, while the
- * API for the %Matrix class provides easy access to linear-algebra
- * operations.
- *
- * See documentation of class Matrix for detailed information on the template parameters
- * storage layout.
- *
- * This class can be extended with the help of the plugin mechanism described on the page
- * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAY_PLUGIN.
- *
- * \sa \blank \ref TutorialArrayClass, \ref TopicClassHierarchy
- */
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-class Array
- : public PlainObjectBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
-{
- public:
-
- typedef PlainObjectBase<Array> Base;
- EIGEN_DENSE_PUBLIC_INTERFACE(Array)
-
- enum { Options = _Options };
- typedef typename Base::PlainObject PlainObject;
-
- protected:
- template <typename Derived, typename OtherDerived, bool IsVector>
- friend struct internal::conservative_resize_like_impl;
-
- using Base::m_storage;
-
- public:
-
- using Base::base;
- using Base::coeff;
- using Base::coeffRef;
-
- /**
- * The usage of
- * using Base::operator=;
- * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
- * the usage of 'using'. This should be done only for operator=.
- */
- template<typename OtherDerived>
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array& operator=(const EigenBase<OtherDerived> &other)
- {
- return Base::operator=(other);
- }
-
- /** Set all the entries to \a value.
- * \sa DenseBase::setConstant(), DenseBase::fill()
- */
- /* This overload is needed because the usage of
- * using Base::operator=;
- * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
- * the usage of 'using'. This should be done only for operator=.
- */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array& operator=(const Scalar &value)
- {
- Base::setConstant(value);
- return *this;
- }
-
- /** Copies the value of the expression \a other into \c *this with automatic resizing.
- *
- * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
- * it will be initialized.
- *
- * Note that copying a row-vector into a vector (and conversely) is allowed.
- * The resizing, if any, is then done in the appropriate way so that row-vectors
- * remain row-vectors and vectors remain vectors.
- */
- template<typename OtherDerived>
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array& operator=(const DenseBase<OtherDerived>& other)
- {
- return Base::_set(other);
- }
-
- /** This is a special case of the templated operator=. Its purpose is to
- * prevent a default operator= from hiding the templated operator=.
- */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array& operator=(const Array& other)
- {
- return Base::_set(other);
- }
-
- /** Default constructor.
- *
- * For fixed-size matrices, does nothing.
- *
- * For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
- * is called a null matrix. This constructor is the unique way to create null matrices: resizing
- * a matrix to 0 is not supported.
- *
- * \sa resize(Index,Index)
- */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array() : Base()
- {
- Base::_check_template_params();
- EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
- }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
- // FIXME is it still needed ??
- /** \internal */
- EIGEN_DEVICE_FUNC
- Array(internal::constructor_without_unaligned_array_assert)
- : Base(internal::constructor_without_unaligned_array_assert())
- {
- Base::_check_template_params();
- EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
- }
-#endif
-
-#if EIGEN_HAS_RVALUE_REFERENCES
- EIGEN_DEVICE_FUNC
- Array(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
- : Base(std::move(other))
- {
- Base::_check_template_params();
- }
- EIGEN_DEVICE_FUNC
- Array& operator=(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value)
- {
- other.swap(*this);
- return *this;
- }
-#endif
-
- #ifndef EIGEN_PARSED_BY_DOXYGEN
- template<typename T>
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE explicit Array(const T& x)
- {
- Base::_check_template_params();
- Base::template _init1<T>(x);
- }
-
- template<typename T0, typename T1>
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array(const T0& val0, const T1& val1)
- {
- Base::_check_template_params();
- this->template _init2<T0,T1>(val0, val1);
- }
- #else
- /** \brief Constructs a fixed-sized array initialized with coefficients starting at \a data */
- EIGEN_DEVICE_FUNC explicit Array(const Scalar *data);
- /** Constructs a vector or row-vector with given dimension. \only_for_vectors
- *
- * Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
- * it is redundant to pass the dimension here, so it makes more sense to use the default
- * constructor Array() instead.
- */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE explicit Array(Index dim);
- /** constructs an initialized 1x1 Array with the given coefficient */
- Array(const Scalar& value);
- /** constructs an uninitialized array with \a rows rows and \a cols columns.
- *
- * This is useful for dynamic-size arrays. For fixed-size arrays,
- * it is redundant to pass these parameters, so one should use the default constructor
- * Array() instead. */
- Array(Index rows, Index cols);
- /** constructs an initialized 2D vector with given coefficients */
- Array(const Scalar& val0, const Scalar& val1);
- #endif
-
- /** constructs an initialized 3D vector with given coefficients */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2)
- {
- Base::_check_template_params();
- EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 3)
- m_storage.data()[0] = val0;
- m_storage.data()[1] = val1;
- m_storage.data()[2] = val2;
- }
- /** constructs an initialized 4D vector with given coefficients */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2, const Scalar& val3)
- {
- Base::_check_template_params();
- EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 4)
- m_storage.data()[0] = val0;
- m_storage.data()[1] = val1;
- m_storage.data()[2] = val2;
- m_storage.data()[3] = val3;
- }
-
- /** Copy constructor */
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array(const Array& other)
- : Base(other)
- { }
-
- private:
- struct PrivateType {};
- public:
-
- /** \sa MatrixBase::operator=(const EigenBase<OtherDerived>&) */
- template<typename OtherDerived>
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Array(const EigenBase<OtherDerived> &other,
- typename internal::enable_if<internal::is_convertible<typename OtherDerived::Scalar,Scalar>::value,
- PrivateType>::type = PrivateType())
- : Base(other.derived())
- { }
-
- EIGEN_DEVICE_FUNC inline Index innerStride() const { return 1; }
- EIGEN_DEVICE_FUNC inline Index outerStride() const { return this->innerSize(); }
-
- #ifdef EIGEN_ARRAY_PLUGIN
- #include EIGEN_ARRAY_PLUGIN
- #endif
-
- private:
-
- template<typename MatrixType, typename OtherDerived, bool SwapPointers>
- friend struct internal::matrix_swap_impl;
-};
-
-/** \defgroup arraytypedefs Global array typedefs
- * \ingroup Core_Module
- *
- * Eigen defines several typedef shortcuts for most common 1D and 2D array types.
- *
- * The general patterns are the following:
- *
- * \c ArrayRowsColsType where \c Rows and \c Cols can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
- * and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
- * for complex double.
- *
- * For example, \c Array33d is a fixed-size 3x3 array type of doubles, and \c ArrayXXf is a dynamic-size matrix of floats.
- *
- * There are also \c ArraySizeType which are self-explanatory. For example, \c Array4cf is
- * a fixed-size 1D array of 4 complex floats.
- *
- * \sa class Array
- */
-
-#define EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix) \
-/** \ingroup arraytypedefs */ \
-typedef Array<Type, Size, Size> Array##SizeSuffix##SizeSuffix##TypeSuffix; \
-/** \ingroup arraytypedefs */ \
-typedef Array<Type, Size, 1> Array##SizeSuffix##TypeSuffix;
-
-#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, Size) \
-/** \ingroup arraytypedefs */ \
-typedef Array<Type, Size, Dynamic> Array##Size##X##TypeSuffix; \
-/** \ingroup arraytypedefs */ \
-typedef Array<Type, Dynamic, Size> Array##X##Size##TypeSuffix;
-
-#define EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 2, 2) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 3, 3) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 4, 4) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
-EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
-EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
-EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
-
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(int, i)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(float, f)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(double, d)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<float>, cf)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
-
-#undef EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES
-#undef EIGEN_MAKE_ARRAY_TYPEDEFS
-
-#undef EIGEN_MAKE_ARRAY_TYPEDEFS_LARGE
-
-#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
-using Eigen::Matrix##SizeSuffix##TypeSuffix; \
-using Eigen::Vector##SizeSuffix##TypeSuffix; \
-using Eigen::RowVector##SizeSuffix##TypeSuffix;
-
-#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(TypeSuffix) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
-
-#define EIGEN_USING_ARRAY_TYPEDEFS \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(i) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(f) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(d) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cf) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cd)
-
-} // end namespace Eigen
-
-#endif // EIGEN_ARRAY_H