1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef EIGEN_NUMTRAITS_H
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_NUMTRAITS_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class NumTraits
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param T the numeric type at hand
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class stores enums, typedefs and static methods giving information about a numeric type.
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The provided data consists of:
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li A typedef \a Real, giving the "real part" type of \a T. If \a T is already real,
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     then \a Real is just a typedef to \a T. If \a T is \c std::complex<U> then \a Real
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     is a typedef to \a U.
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li A typedef \a NonInteger, giving the type that should be used for operations producing non-integral values,
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     such as quotients, square roots, etc. If \a T is a floating-point type, then this typedef just gives
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     \a T again. Note however that many Eigen functions such as internal::sqrt simply refuse to
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     take integers. Outside of a few cases, Eigen doesn't do automatic type promotion. Thus, this typedef is
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     only intended as a helper for code that needs to explicitly promote types.
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \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
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     this means, just use \a T here.
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li An enum value \a IsComplex. It is equal to 1 if \a T is a \c std::complex
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     type, and to 0 otherwise.
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li An enum value \a IsInteger. It is equal to \c 1 if \a T is an integer type such as \c int,
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     and to \c 0 otherwise.
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li Enum values ReadCost, AddCost and MulCost representing a rough estimate of the number of CPU cycles needed
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     to by move / add / mul instructions respectively, assuming the data is already stored in CPU registers.
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     Stay vague here. No need to do architecture-specific stuff.
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \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.
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li An enum value \a RequireInitialization. It is equal to \c 1 if the constructor of the numeric type \a T must
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     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.
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li An epsilon() function which, unlike std::numeric_limits::epsilon(), returns a \a Real instead of a \a T.
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *     value by the fuzzy comparison operators.
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \li highest() and lowest() functions returning the highest and lowest possible values respectively.
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename T> struct GenericNumTraits
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsInteger = std::numeric_limits<T>::is_integer,
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsSigned = std::numeric_limits<T>::is_signed,
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsComplex = 0,
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RequireInitialization = internal::is_arithmetic<T>::value ? 0 : 1,
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ReadCost = 1,
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    AddCost = 1,
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MulCost = 1
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef T Real;
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::conditional<
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     IsInteger,
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     typename internal::conditional<sizeof(T)<=2, float, double>::type,
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     T
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                   >::type NonInteger;
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef T Nested;
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline Real epsilon() { return std::numeric_limits<T>::epsilon(); }
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline Real dummy_precision()
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // make sure to override this for floating-point types
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return Real(0);
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline T highest() { return (std::numeric_limits<T>::max)(); }
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline T lowest()  { return IsInteger ? (std::numeric_limits<T>::min)() : (-(std::numeric_limits<T>::max)()); }
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifdef EIGEN2_SUPPORT
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    HasFloatingPoint = !IsInteger
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef NonInteger FloatingPoint;
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename T> struct NumTraits : GenericNumTraits<T>
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{};
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<> struct NumTraits<float>
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : GenericNumTraits<float>
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline float dummy_precision() { return 1e-5f; }
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<> struct NumTraits<double> : GenericNumTraits<double>
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline double dummy_precision() { return 1e-12; }
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<> struct NumTraits<long double>
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : GenericNumTraits<long double>
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline long double dummy_precision() { return 1e-15l; }
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename _Real> struct NumTraits<std::complex<_Real> >
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : GenericNumTraits<std::complex<_Real> >
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef _Real Real;
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsComplex = 1,
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RequireInitialization = NumTraits<_Real>::RequireInitialization,
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ReadCost = 2 * NumTraits<_Real>::ReadCost,
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    AddCost = 2 * NumTraits<Real>::AddCost,
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> ArrayType;
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real;
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar;
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> NonInteger;
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef ArrayType & Nested;
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsComplex = NumTraits<Scalar>::IsComplex,
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsInteger = NumTraits<Scalar>::IsInteger,
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IsSigned  = NumTraits<Scalar>::IsSigned,
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RequireInitialization = 1,
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::ReadCost,
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    AddCost  = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::AddCost,
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MulCost  = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::MulCost
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
1437faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
1447faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  static inline RealScalar epsilon() { return NumTraits<RealScalar>::epsilon(); }
1457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  static inline RealScalar dummy_precision() { return NumTraits<RealScalar>::dummy_precision(); }
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_NUMTRAITS_H
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