Eigen/src/Core/Array.h - eigen - Git at Google

 // 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

 // IWYU pragma: private
 #include "./InternalHeaderCheck.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;
 };
 }  // namespace internal

 /** \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() { 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()){EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED}
 #endif

         EIGEN_DEVICE_FUNC Array(Array && other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
       : Base(std::move(other)) {
   }
   EIGEN_DEVICE_FUNC Array& operator=(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value) {
     Base::operator=(std::move(other));
     return *this;
   }

   /** \copydoc PlainObjectBase(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const
    * ArgTypes&... args)
    *
    * Example: \include Array_variadic_ctor_cxx11.cpp
    * Output: \verbinclude Array_variadic_ctor_cxx11.out
    *
    * \sa Array(const std::initializer_list<std::initializer_list<Scalar>>&)
    * \sa Array(const Scalar&), Array(const Scalar&,const Scalar&)
    */
   template <typename... ArgTypes>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3,
                                               const ArgTypes&... args)
       : Base(a0, a1, a2, a3, args...) {}

   /** \brief Constructs an array and initializes it from the coefficients given as initializer-lists grouped by row.
    * \cpp11
    *
    * In the general case, the constructor takes a list of rows, each row being represented as a list of coefficients:
    *
    * Example: \include Array_initializer_list_23_cxx11.cpp
    * Output: \verbinclude Array_initializer_list_23_cxx11.out
    *
    * Each of the inner initializer lists must contain the exact same number of elements, otherwise an assertion is
    * triggered.
    *
    * In the case of a compile-time column 1D array, implicit transposition from a single row is allowed.
    * Therefore <code> Array<int,Dynamic,1>{{1,2,3,4,5}}</code> is legal and the more verbose syntax
    * <code>Array<int,Dynamic,1>{{1},{2},{3},{4},{5}}</code> can be avoided:
    *
    * Example: \include Array_initializer_list_vector_cxx11.cpp
    * Output: \verbinclude Array_initializer_list_vector_cxx11.out
    *
    * In the case of fixed-sized arrays, the initializer list sizes must exactly match the array sizes,
    * and implicit transposition is allowed for compile-time 1D arrays only.
    *
    * \sa  Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
    */
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr Array(
       const std::initializer_list<std::initializer_list<Scalar>>& list)
       : Base(list) {}

 #ifndef EIGEN_PARSED_BY_DOXYGEN
   template <typename T>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit Array(const T& x) {
     Base::template _init1<T>(x);
   }

   template <typename T0, typename T1>
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const T0& val0, const T1& val1) {
     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
    * \sa const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args */
   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
    * \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args) */
   Array(const Scalar& val0, const Scalar& val1);
 #endif  // end EIGEN_PARSED_BY_DOXYGEN

   /** constructs an initialized 3D vector with given coefficients
    * \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
    */
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2) {
     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
    * \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
    */
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2,
                                               const Scalar& val3) {
     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,
       std::enable_if_t<internal::is_convertible<typename OtherDerived::Scalar, Scalar>::value, PrivateType> =
           PrivateType())
       : Base(other.derived()) {}

   EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index innerStride() const EIGEN_NOEXCEPT { return 1; }
   EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index outerStride() const EIGEN_NOEXCEPT { 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.
  *
  * With \cpp11, template alias are also defined for common sizes.
  * They follow the same pattern as above except that the scalar type suffix is replaced by a
  * template parameter, i.e.:
  *   - `ArrayRowsCols<Type>` where `Rows` and `Cols` can be \c 2,\c 3,\c 4, or \c X for fixed or dynamic size.
  *   - `ArraySize<Type>` where `Size` can be \c 2,\c 3,\c 4 or \c X for fixed or dynamic size 1D arrays.
  *
  * \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_FIXED_TYPEDEFS

 #define EIGEN_MAKE_ARRAY_TYPEDEFS(Size, SizeSuffix)              \
   /** \ingroup arraytypedefs */                                  \
   /** \brief \cpp11 */                                           \
   template <typename Type>                                       \
   using Array##SizeSuffix##SizeSuffix = Array<Type, Size, Size>; \
   /** \ingroup arraytypedefs */                                  \
   /** \brief \cpp11 */                                           \
   template <typename Type>                                       \
   using Array##SizeSuffix = Array<Type, Size, 1>;

 #define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Size)        \
   /** \ingroup arraytypedefs */                      \
   /** \brief \cpp11 */                               \
   template <typename Type>                           \
   using Array##Size##X = Array<Type, Size, Dynamic>; \
   /** \ingroup arraytypedefs */                      \
   /** \brief \cpp11 */                               \
   template <typename Type>                           \
   using Array##X##Size = Array<Type, Dynamic, Size>;

 EIGEN_MAKE_ARRAY_TYPEDEFS(2, 2)
 EIGEN_MAKE_ARRAY_TYPEDEFS(3, 3)
 EIGEN_MAKE_ARRAY_TYPEDEFS(4, 4)
 EIGEN_MAKE_ARRAY_TYPEDEFS(Dynamic, X)
 EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(2)
 EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(3)
 EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(4)

 #undef EIGEN_MAKE_ARRAY_TYPEDEFS
 #undef EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS

 #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
	// 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

	// IWYU pragma: private
	#include "./InternalHeaderCheck.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;
	};
	} // namespace internal

	/** \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() { 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()){EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED}
	#endif

	EIGEN_DEVICE_FUNC Array(Array && other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
	: Base(std::move(other)) {
	}
	EIGEN_DEVICE_FUNC Array& operator=(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value) {
	Base::operator=(std::move(other));
	return *this;
	}

	/** \copydoc PlainObjectBase(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const
	* ArgTypes&... args)
	*
	* Example: \include Array_variadic_ctor_cxx11.cpp
	* Output: \verbinclude Array_variadic_ctor_cxx11.out
	*
	* \sa Array(const std::initializer_list<std::initializer_list<Scalar>>&)
	* \sa Array(const Scalar&), Array(const Scalar&,const Scalar&)
	*/
	template <typename... ArgTypes>
	EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3,
	const ArgTypes&... args)
	: Base(a0, a1, a2, a3, args...) {}

	/** \brief Constructs an array and initializes it from the coefficients given as initializer-lists grouped by row.
	* \cpp11
	*
	* In the general case, the constructor takes a list of rows, each row being represented as a list of coefficients:
	*
	* Example: \include Array_initializer_list_23_cxx11.cpp
	* Output: \verbinclude Array_initializer_list_23_cxx11.out
	*
	* Each of the inner initializer lists must contain the exact same number of elements, otherwise an assertion is
	* triggered.
	*
	* In the case of a compile-time column 1D array, implicit transposition from a single row is allowed.
	* Therefore <code> Array<int,Dynamic,1>{{1,2,3,4,5}}</code> is legal and the more verbose syntax
	* <code>Array<int,Dynamic,1>{{1},{2},{3},{4},{5}}</code> can be avoided:
	*
	* Example: \include Array_initializer_list_vector_cxx11.cpp
	* Output: \verbinclude Array_initializer_list_vector_cxx11.out
	*
	* In the case of fixed-sized arrays, the initializer list sizes must exactly match the array sizes,
	* and implicit transposition is allowed for compile-time 1D arrays only.
	*
	* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
	*/
	EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr Array(
	const std::initializer_list<std::initializer_list<Scalar>>& list)
	: Base(list) {}

	#ifndef EIGEN_PARSED_BY_DOXYGEN
	template <typename T>
	EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit Array(const T& x) {
	Base::template _init1<T>(x);
	}

	template <typename T0, typename T1>
	EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const T0& val0, const T1& val1) {
	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
	* \sa const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args */
	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
	* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args) */
	Array(const Scalar& val0, const Scalar& val1);
	#endif // end EIGEN_PARSED_BY_DOXYGEN

	/** constructs an initialized 3D vector with given coefficients
	* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
	*/
	EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2) {
	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
	* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
	*/
	EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2,
	const Scalar& val3) {
	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,
	std::enable_if_t<internal::is_convertible<typename OtherDerived::Scalar, Scalar>::value, PrivateType> =
	PrivateType())
	: Base(other.derived()) {}

	EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index innerStride() const EIGEN_NOEXCEPT { return 1; }
	EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR inline Index outerStride() const EIGEN_NOEXCEPT { 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.
	*
	* With \cpp11, template alias are also defined for common sizes.
	* They follow the same pattern as above except that the scalar type suffix is replaced by a
	* template parameter, i.e.:
	* - `ArrayRowsCols<Type>` where `Rows` and `Cols` can be \c 2,\c 3,\c 4, or \c X for fixed or dynamic size.
	* - `ArraySize<Type>` where `Size` can be \c 2,\c 3,\c 4 or \c X for fixed or dynamic size 1D arrays.
	*
	* \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_FIXED_TYPEDEFS

	#define EIGEN_MAKE_ARRAY_TYPEDEFS(Size, SizeSuffix) \
	/** \ingroup arraytypedefs */ \
	/** \brief \cpp11 */ \
	template <typename Type> \
	using Array##SizeSuffix##SizeSuffix = Array<Type, Size, Size>; \
	/** \ingroup arraytypedefs */ \
	/** \brief \cpp11 */ \
	template <typename Type> \
	using Array##SizeSuffix = Array<Type, Size, 1>;

	#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Size) \
	/** \ingroup arraytypedefs */ \
	/** \brief \cpp11 */ \
	template <typename Type> \
	using Array##Size##X = Array<Type, Size, Dynamic>; \
	/** \ingroup arraytypedefs */ \
	/** \brief \cpp11 */ \
	template <typename Type> \
	using Array##X##Size = Array<Type, Dynamic, Size>;

	EIGEN_MAKE_ARRAY_TYPEDEFS(2, 2)
	EIGEN_MAKE_ARRAY_TYPEDEFS(3, 3)
	EIGEN_MAKE_ARRAY_TYPEDEFS(4, 4)
	EIGEN_MAKE_ARRAY_TYPEDEFS(Dynamic, X)
	EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(2)
	EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(3)
	EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(4)

	#undef EIGEN_MAKE_ARRAY_TYPEDEFS
	#undef EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS

	#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