User | Revision | Line number | New contents of line |
ykuroda |
0:13a5d365ba16
|
1
|
// This file is part of Eigen, a lightweight C++ template library
|
ykuroda |
0:13a5d365ba16
|
2
|
// for linear algebra.
|
ykuroda |
0:13a5d365ba16
|
3
|
//
|
ykuroda |
0:13a5d365ba16
|
4
|
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
|
ykuroda |
0:13a5d365ba16
|
5
|
//
|
ykuroda |
0:13a5d365ba16
|
6
|
// This Source Code Form is subject to the terms of the Mozilla
|
ykuroda |
0:13a5d365ba16
|
7
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
ykuroda |
0:13a5d365ba16
|
8
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
ykuroda |
0:13a5d365ba16
|
9
|
|
ykuroda |
0:13a5d365ba16
|
10
|
#ifndef EIGEN_NUMTRAITS_H
|
ykuroda |
0:13a5d365ba16
|
11
|
#define EIGEN_NUMTRAITS_H
|
ykuroda |
0:13a5d365ba16
|
12
|
|
ykuroda |
0:13a5d365ba16
|
13
|
namespace Eigen {
|
ykuroda |
0:13a5d365ba16
|
14
|
|
ykuroda |
0:13a5d365ba16
|
15
|
/** \class NumTraits
|
ykuroda |
0:13a5d365ba16
|
16
|
* \ingroup Core_Module
|
ykuroda |
0:13a5d365ba16
|
17
|
*
|
ykuroda |
0:13a5d365ba16
|
18
|
* \brief Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
|
ykuroda |
0:13a5d365ba16
|
19
|
*
|
ykuroda |
0:13a5d365ba16
|
20
|
* \param T the numeric type at hand
|
ykuroda |
0:13a5d365ba16
|
21
|
*
|
ykuroda |
0:13a5d365ba16
|
22
|
* This class stores enums, typedefs and static methods giving information about a numeric type.
|
ykuroda |
0:13a5d365ba16
|
23
|
*
|
ykuroda |
0:13a5d365ba16
|
24
|
* The provided data consists of:
|
ykuroda |
0:13a5d365ba16
|
25
|
* \li A typedef \a Real, giving the "real part" type of \a T. If \a T is already real,
|
ykuroda |
0:13a5d365ba16
|
26
|
* then \a Real is just a typedef to \a T. If \a T is \c std::complex<U> then \a Real
|
ykuroda |
0:13a5d365ba16
|
27
|
* is a typedef to \a U.
|
ykuroda |
0:13a5d365ba16
|
28
|
* \li A typedef \a NonInteger, giving the type that should be used for operations producing non-integral values,
|
ykuroda |
0:13a5d365ba16
|
29
|
* such as quotients, square roots, etc. If \a T is a floating-point type, then this typedef just gives
|
ykuroda |
0:13a5d365ba16
|
30
|
* \a T again. Note however that many Eigen functions such as internal::sqrt simply refuse to
|
ykuroda |
0:13a5d365ba16
|
31
|
* take integers. Outside of a few cases, Eigen doesn't do automatic type promotion. Thus, this typedef is
|
ykuroda |
0:13a5d365ba16
|
32
|
* only intended as a helper for code that needs to explicitly promote types.
|
ykuroda |
0:13a5d365ba16
|
33
|
* \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
|
ykuroda |
0:13a5d365ba16
|
34
|
* this means, just use \a T here.
|
ykuroda |
0:13a5d365ba16
|
35
|
* \li An enum value \a IsComplex. It is equal to 1 if \a T is a \c std::complex
|
ykuroda |
0:13a5d365ba16
|
36
|
* type, and to 0 otherwise.
|
ykuroda |
0:13a5d365ba16
|
37
|
* \li An enum value \a IsInteger. It is equal to \c 1 if \a T is an integer type such as \c int,
|
ykuroda |
0:13a5d365ba16
|
38
|
* and to \c 0 otherwise.
|
ykuroda |
0:13a5d365ba16
|
39
|
* \li Enum values ReadCost, AddCost and MulCost representing a rough estimate of the number of CPU cycles needed
|
ykuroda |
0:13a5d365ba16
|
40
|
* to by move / add / mul instructions respectively, assuming the data is already stored in CPU registers.
|
ykuroda |
0:13a5d365ba16
|
41
|
* Stay vague here. No need to do architecture-specific stuff.
|
ykuroda |
0:13a5d365ba16
|
42
|
* \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.
|
ykuroda |
0:13a5d365ba16
|
43
|
* \li An enum value \a RequireInitialization. It is equal to \c 1 if the constructor of the numeric type \a T must
|
ykuroda |
0:13a5d365ba16
|
44
|
* 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.
|
ykuroda |
0:13a5d365ba16
|
45
|
* \li An epsilon() function which, unlike std::numeric_limits::epsilon(), returns a \a Real instead of a \a T.
|
ykuroda |
0:13a5d365ba16
|
46
|
* \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default
|
ykuroda |
0:13a5d365ba16
|
47
|
* value by the fuzzy comparison operators.
|
ykuroda |
0:13a5d365ba16
|
48
|
* \li highest() and lowest() functions returning the highest and lowest possible values respectively.
|
ykuroda |
0:13a5d365ba16
|
49
|
*/
|
ykuroda |
0:13a5d365ba16
|
50
|
|
ykuroda |
0:13a5d365ba16
|
51
|
template<typename T> struct GenericNumTraits
|
ykuroda |
0:13a5d365ba16
|
52
|
{
|
ykuroda |
0:13a5d365ba16
|
53
|
enum {
|
ykuroda |
0:13a5d365ba16
|
54
|
IsInteger = std::numeric_limits<T>::is_integer,
|
ykuroda |
0:13a5d365ba16
|
55
|
IsSigned = std::numeric_limits<T>::is_signed,
|
ykuroda |
0:13a5d365ba16
|
56
|
IsComplex = 0,
|
ykuroda |
0:13a5d365ba16
|
57
|
RequireInitialization = internal::is_arithmetic<T>::value ? 0 : 1,
|
ykuroda |
0:13a5d365ba16
|
58
|
ReadCost = 1,
|
ykuroda |
0:13a5d365ba16
|
59
|
AddCost = 1,
|
ykuroda |
0:13a5d365ba16
|
60
|
MulCost = 1
|
ykuroda |
0:13a5d365ba16
|
61
|
};
|
ykuroda |
0:13a5d365ba16
|
62
|
|
ykuroda |
0:13a5d365ba16
|
63
|
typedef T Real;
|
ykuroda |
0:13a5d365ba16
|
64
|
typedef typename internal::conditional<
|
ykuroda |
0:13a5d365ba16
|
65
|
IsInteger,
|
ykuroda |
0:13a5d365ba16
|
66
|
typename internal::conditional<sizeof(T)<=2, float, double>::type,
|
ykuroda |
0:13a5d365ba16
|
67
|
T
|
ykuroda |
0:13a5d365ba16
|
68
|
>::type NonInteger;
|
ykuroda |
0:13a5d365ba16
|
69
|
typedef T Nested;
|
ykuroda |
0:13a5d365ba16
|
70
|
|
ykuroda |
0:13a5d365ba16
|
71
|
static inline Real epsilon() { return std::numeric_limits<T>::epsilon(); }
|
ykuroda |
0:13a5d365ba16
|
72
|
static inline Real dummy_precision()
|
ykuroda |
0:13a5d365ba16
|
73
|
{
|
ykuroda |
0:13a5d365ba16
|
74
|
// make sure to override this for floating-point types
|
ykuroda |
0:13a5d365ba16
|
75
|
return Real(0);
|
ykuroda |
0:13a5d365ba16
|
76
|
}
|
ykuroda |
0:13a5d365ba16
|
77
|
static inline T highest() { return (std::numeric_limits<T>::max)(); }
|
ykuroda |
0:13a5d365ba16
|
78
|
static inline T lowest() { return IsInteger ? (std::numeric_limits<T>::min)() : (-(std::numeric_limits<T>::max)()); }
|
ykuroda |
0:13a5d365ba16
|
79
|
|
ykuroda |
0:13a5d365ba16
|
80
|
#ifdef EIGEN2_SUPPORT
|
ykuroda |
0:13a5d365ba16
|
81
|
enum {
|
ykuroda |
0:13a5d365ba16
|
82
|
HasFloatingPoint = !IsInteger
|
ykuroda |
0:13a5d365ba16
|
83
|
};
|
ykuroda |
0:13a5d365ba16
|
84
|
typedef NonInteger FloatingPoint;
|
ykuroda |
0:13a5d365ba16
|
85
|
#endif
|
ykuroda |
0:13a5d365ba16
|
86
|
};
|
ykuroda |
0:13a5d365ba16
|
87
|
|
ykuroda |
0:13a5d365ba16
|
88
|
template<typename T> struct NumTraits : GenericNumTraits<T>
|
ykuroda |
0:13a5d365ba16
|
89
|
{};
|
ykuroda |
0:13a5d365ba16
|
90
|
|
ykuroda |
0:13a5d365ba16
|
91
|
template<> struct NumTraits<float>
|
ykuroda |
0:13a5d365ba16
|
92
|
: GenericNumTraits<float>
|
ykuroda |
0:13a5d365ba16
|
93
|
{
|
ykuroda |
0:13a5d365ba16
|
94
|
static inline float dummy_precision() { return 1e-5f; }
|
ykuroda |
0:13a5d365ba16
|
95
|
};
|
ykuroda |
0:13a5d365ba16
|
96
|
|
ykuroda |
0:13a5d365ba16
|
97
|
template<> struct NumTraits<double> : GenericNumTraits<double>
|
ykuroda |
0:13a5d365ba16
|
98
|
{
|
ykuroda |
0:13a5d365ba16
|
99
|
static inline double dummy_precision() { return 1e-12; }
|
ykuroda |
0:13a5d365ba16
|
100
|
};
|
ykuroda |
0:13a5d365ba16
|
101
|
|
ykuroda |
0:13a5d365ba16
|
102
|
template<> struct NumTraits<long double>
|
ykuroda |
0:13a5d365ba16
|
103
|
: GenericNumTraits<long double>
|
ykuroda |
0:13a5d365ba16
|
104
|
{
|
ykuroda |
0:13a5d365ba16
|
105
|
static inline long double dummy_precision() { return 1e-15l; }
|
ykuroda |
0:13a5d365ba16
|
106
|
};
|
ykuroda |
0:13a5d365ba16
|
107
|
|
ykuroda |
0:13a5d365ba16
|
108
|
template<typename _Real> struct NumTraits<std::complex<_Real> >
|
ykuroda |
0:13a5d365ba16
|
109
|
: GenericNumTraits<std::complex<_Real> >
|
ykuroda |
0:13a5d365ba16
|
110
|
{
|
ykuroda |
0:13a5d365ba16
|
111
|
typedef _Real Real;
|
ykuroda |
0:13a5d365ba16
|
112
|
enum {
|
ykuroda |
0:13a5d365ba16
|
113
|
IsComplex = 1,
|
ykuroda |
0:13a5d365ba16
|
114
|
RequireInitialization = NumTraits<_Real>::RequireInitialization,
|
ykuroda |
0:13a5d365ba16
|
115
|
ReadCost = 2 * NumTraits<_Real>::ReadCost,
|
ykuroda |
0:13a5d365ba16
|
116
|
AddCost = 2 * NumTraits<Real>::AddCost,
|
ykuroda |
0:13a5d365ba16
|
117
|
MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost
|
ykuroda |
0:13a5d365ba16
|
118
|
};
|
ykuroda |
0:13a5d365ba16
|
119
|
|
ykuroda |
0:13a5d365ba16
|
120
|
static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
|
ykuroda |
0:13a5d365ba16
|
121
|
static inline Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
|
ykuroda |
0:13a5d365ba16
|
122
|
};
|
ykuroda |
0:13a5d365ba16
|
123
|
|
ykuroda |
0:13a5d365ba16
|
124
|
template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
|
ykuroda |
0:13a5d365ba16
|
125
|
struct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
|
ykuroda |
0:13a5d365ba16
|
126
|
{
|
ykuroda |
0:13a5d365ba16
|
127
|
typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> ArrayType;
|
ykuroda |
0:13a5d365ba16
|
128
|
typedef typename NumTraits<Scalar>::Real RealScalar;
|
ykuroda |
0:13a5d365ba16
|
129
|
typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real;
|
ykuroda |
0:13a5d365ba16
|
130
|
typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar;
|
ykuroda |
0:13a5d365ba16
|
131
|
typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> NonInteger;
|
ykuroda |
0:13a5d365ba16
|
132
|
typedef ArrayType & Nested;
|
ykuroda |
0:13a5d365ba16
|
133
|
|
ykuroda |
0:13a5d365ba16
|
134
|
enum {
|
ykuroda |
0:13a5d365ba16
|
135
|
IsComplex = NumTraits<Scalar>::IsComplex,
|
ykuroda |
0:13a5d365ba16
|
136
|
IsInteger = NumTraits<Scalar>::IsInteger,
|
ykuroda |
0:13a5d365ba16
|
137
|
IsSigned = NumTraits<Scalar>::IsSigned,
|
ykuroda |
0:13a5d365ba16
|
138
|
RequireInitialization = 1,
|
ykuroda |
0:13a5d365ba16
|
139
|
ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::ReadCost,
|
ykuroda |
0:13a5d365ba16
|
140
|
AddCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::AddCost,
|
ykuroda |
0:13a5d365ba16
|
141
|
MulCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::MulCost
|
ykuroda |
0:13a5d365ba16
|
142
|
};
|
ykuroda |
0:13a5d365ba16
|
143
|
|
ykuroda |
0:13a5d365ba16
|
144
|
static inline RealScalar epsilon() { return NumTraits<RealScalar>::epsilon(); }
|
ykuroda |
0:13a5d365ba16
|
145
|
static inline RealScalar dummy_precision() { return NumTraits<RealScalar>::dummy_precision(); }
|
ykuroda |
0:13a5d365ba16
|
146
|
};
|
ykuroda |
0:13a5d365ba16
|
147
|
|
ykuroda |
0:13a5d365ba16
|
148
|
} // end namespace Eigen
|
ykuroda |
0:13a5d365ba16
|
149
|
|
ykuroda |
0:13a5d365ba16
|
150
|
#endif // EIGEN_NUMTRAITS_H |