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161 lines
6.7 KiB
C++
161 lines
6.7 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_NUMTRAITS_H
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#define EIGEN_NUMTRAITS_H
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/** \class NumTraits
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* \ingroup Core_Module
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*
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* \brief Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
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*
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* \param T the numeric type at hand
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*
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* This class stores enums, typedefs and static methods giving information about a numeric type.
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*
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* The provided data consists of:
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* \li A typedef \a Real, giving the "real part" type of \a T. If \a T is already real,
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* then \a Real is just a typedef to \a T. If \a T is \c std::complex<U> then \a Real
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* is a typedef to \a U.
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* \li A typedef \a NonInteger, giving the type that should be used for operations producing non-integral values,
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* such as quotients, square roots, etc. If \a T is a floating-point type, then this typedef just gives
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* \a T again. Note however that many Eigen functions such as internal::sqrt simply refuse to
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* take integers. Outside of a few cases, Eigen doesn't do automatic type promotion. Thus, this typedef is
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* only intended as a helper for code that needs to explicitly promote types.
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* \li A typedef \a Nested giving the type to use to nest a value inside of the expression tree. If you don't know what
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* this means, just use \a T here.
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* \li An enum value \a IsComplex. It is equal to 1 if \a T is a \c std::complex
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* type, and to 0 otherwise.
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* \li An enum value \a IsInteger. It is equal to \c 1 if \a T is an integer type such as \c int,
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* and to \c 0 otherwise.
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* \li Enum values ReadCost, AddCost and MulCost representing a rough estimate of the number of CPU cycles needed
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* to by move / add / mul instructions respectively, assuming the data is already stored in CPU registers.
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* Stay vague here. No need to do architecture-specific stuff.
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* \li An enum value \a IsSigned. It is equal to \c 1 if \a T is a signed type and to 0 if \a T is unsigned.
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* \li An enum value \a RequireInitialization. It is equal to \c 1 if the constructor of the numeric type \a T must
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* be called, and to 0 if it is safe not to call it. Default is 0 if \a T is an arithmetic type, and 1 otherwise.
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* \li An epsilon() function which, unlike std::numeric_limits::epsilon(), returns a \a Real instead of a \a T.
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* \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default
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* value by the fuzzy comparison operators.
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* \li highest() and lowest() functions returning the highest and lowest possible values respectively.
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*/
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template<typename T> struct GenericNumTraits
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{
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enum {
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IsInteger = std::numeric_limits<T>::is_integer,
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IsSigned = std::numeric_limits<T>::is_signed,
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IsComplex = 0,
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RequireInitialization = internal::is_arithmetic<T>::value ? 0 : 1,
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ReadCost = 1,
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AddCost = 1,
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MulCost = 1
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};
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typedef T Real;
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typedef typename internal::conditional<
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IsInteger,
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typename internal::conditional<sizeof(T)<=2, float, double>::type,
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T
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>::type NonInteger;
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typedef T Nested;
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inline static Real epsilon() { return std::numeric_limits<T>::epsilon(); }
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inline static Real dummy_precision()
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{
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// make sure to override this for floating-point types
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return Real(0);
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}
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inline static T highest() { return std::numeric_limits<T>::max(); }
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inline static T lowest() { return IsInteger ? std::numeric_limits<T>::min() : (-std::numeric_limits<T>::max()); }
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#ifdef EIGEN2_SUPPORT
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enum {
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HasFloatingPoint = !IsInteger
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};
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typedef NonInteger FloatingPoint;
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#endif
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};
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template<typename T> struct NumTraits : GenericNumTraits<T>
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{};
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template<> struct NumTraits<float>
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: GenericNumTraits<float>
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{
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inline static float dummy_precision() { return 1e-5f; }
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};
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template<> struct NumTraits<double> : GenericNumTraits<double>
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{
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inline static double dummy_precision() { return 1e-12; }
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};
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template<> struct NumTraits<long double>
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: GenericNumTraits<long double>
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{
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static inline long double dummy_precision() { return 1e-15l; }
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};
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template<typename _Real> struct NumTraits<std::complex<_Real> >
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: GenericNumTraits<std::complex<_Real> >
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{
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typedef _Real Real;
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enum {
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IsComplex = 1,
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RequireInitialization = NumTraits<_Real>::RequireInitialization,
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ReadCost = 2 * NumTraits<_Real>::ReadCost,
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AddCost = 2 * NumTraits<Real>::AddCost,
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MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost
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};
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inline static Real epsilon() { return NumTraits<Real>::epsilon(); }
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inline static Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
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};
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template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
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struct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
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{
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typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> ArrayType;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real;
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typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar;
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typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> NonInteger;
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typedef ArrayType & Nested;
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enum {
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IsComplex = NumTraits<Scalar>::IsComplex,
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IsInteger = NumTraits<Scalar>::IsInteger,
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IsSigned = NumTraits<Scalar>::IsSigned,
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RequireInitialization = 1,
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ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::ReadCost,
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AddCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::AddCost,
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MulCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::MulCost
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};
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};
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#endif // EIGEN_NUMTRAITS_H
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