1 | // This file is part of Eigen, a lightweight C++ template library |
2 | // for linear algebra. |
3 | // |
4 | // Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com> |
5 | // |
6 | // This Source Code Form is subject to the terms of the Mozilla |
7 | // Public License v. 2.0. If a copy of the MPL was not distributed |
8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
9 | |
10 | #ifndef EIGEN_NUMTRAITS_H |
11 | #define EIGEN_NUMTRAITS_H |
12 | |
13 | namespace Eigen { |
14 | |
15 | namespace internal { |
16 | |
17 | // default implementation of digits10(), based on numeric_limits if specialized, |
18 | // 0 for integer types, and log10(epsilon()) otherwise. |
19 | template< typename T, |
20 | bool use_numeric_limits = std::numeric_limits<T>::is_specialized, |
21 | bool is_integer = NumTraits<T>::IsInteger> |
22 | struct default_digits10_impl |
23 | { |
24 | static int run() { return std::numeric_limits<T>::digits10; } |
25 | }; |
26 | |
27 | template<typename T> |
28 | struct default_digits10_impl<T,false,false> // Floating point |
29 | { |
30 | static int run() { |
31 | using std::log10; |
32 | using std::ceil; |
33 | typedef typename NumTraits<T>::Real Real; |
34 | return int(ceil(-log10(NumTraits<Real>::epsilon()))); |
35 | } |
36 | }; |
37 | |
38 | template<typename T> |
39 | struct default_digits10_impl<T,false,true> // Integer |
40 | { |
41 | static int run() { return 0; } |
42 | }; |
43 | |
44 | } // end namespace internal |
45 | |
46 | /** \class NumTraits |
47 | * \ingroup Core_Module |
48 | * |
49 | * \brief Holds information about the various numeric (i.e. scalar) types allowed by Eigen. |
50 | * |
51 | * \tparam T the numeric type at hand |
52 | * |
53 | * This class stores enums, typedefs and static methods giving information about a numeric type. |
54 | * |
55 | * The provided data consists of: |
56 | * \li A typedef \c Real, giving the "real part" type of \a T. If \a T is already real, |
57 | * then \c Real is just a typedef to \a T. If \a T is \c std::complex<U> then \c Real |
58 | * is a typedef to \a U. |
59 | * \li A typedef \c NonInteger, giving the type that should be used for operations producing non-integral values, |
60 | * such as quotients, square roots, etc. If \a T is a floating-point type, then this typedef just gives |
61 | * \a T again. Note however that many Eigen functions such as internal::sqrt simply refuse to |
62 | * take integers. Outside of a few cases, Eigen doesn't do automatic type promotion. Thus, this typedef is |
63 | * only intended as a helper for code that needs to explicitly promote types. |
64 | * \li A typedef \c Literal giving the type to use for numeric literals such as "2" or "0.5". For instance, for \c std::complex<U>, Literal is defined as \c U. |
65 | * Of course, this type must be fully compatible with \a T. In doubt, just use \a T here. |
66 | * \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 |
67 | * this means, just use \a T here. |
68 | * \li An enum value \a IsComplex. It is equal to 1 if \a T is a \c std::complex |
69 | * type, and to 0 otherwise. |
70 | * \li An enum value \a IsInteger. It is equal to \c 1 if \a T is an integer type such as \c int, |
71 | * and to \c 0 otherwise. |
72 | * \li Enum values ReadCost, AddCost and MulCost representing a rough estimate of the number of CPU cycles needed |
73 | * to by move / add / mul instructions respectively, assuming the data is already stored in CPU registers. |
74 | * Stay vague here. No need to do architecture-specific stuff. |
75 | * \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. |
76 | * \li An enum value \a RequireInitialization. It is equal to \c 1 if the constructor of the numeric type \a T must |
77 | * 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. |
78 | * \li An epsilon() function which, unlike <a href="http://en.cppreference.com/w/cpp/types/numeric_limits/epsilon">std::numeric_limits::epsilon()</a>, |
79 | * it returns a \a Real instead of a \a T. |
80 | * \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default |
81 | * value by the fuzzy comparison operators. |
82 | * \li highest() and lowest() functions returning the highest and lowest possible values respectively. |
83 | * \li digits10() function returning the number of decimal digits that can be represented without change. This is |
84 | * the analogue of <a href="http://en.cppreference.com/w/cpp/types/numeric_limits/digits10">std::numeric_limits<T>::digits10</a> |
85 | * which is used as the default implementation if specialized. |
86 | */ |
87 | |
88 | template<typename T> struct GenericNumTraits |
89 | { |
90 | enum { |
91 | IsInteger = std::numeric_limits<T>::is_integer, |
92 | IsSigned = std::numeric_limits<T>::is_signed, |
93 | IsComplex = 0, |
94 | RequireInitialization = internal::is_arithmetic<T>::value ? 0 : 1, |
95 | ReadCost = 1, |
96 | AddCost = 1, |
97 | MulCost = 1 |
98 | }; |
99 | |
100 | typedef T Real; |
101 | typedef typename internal::conditional< |
102 | IsInteger, |
103 | typename internal::conditional<sizeof(T)<=2, float, double>::type, |
104 | T |
105 | >::type NonInteger; |
106 | typedef T Nested; |
107 | typedef T Literal; |
108 | |
109 | EIGEN_DEVICE_FUNC |
110 | static inline Real epsilon() |
111 | { |
112 | return numext::numeric_limits<T>::epsilon(); |
113 | } |
114 | |
115 | EIGEN_DEVICE_FUNC |
116 | static inline int digits10() |
117 | { |
118 | return internal::default_digits10_impl<T>::run(); |
119 | } |
120 | |
121 | EIGEN_DEVICE_FUNC |
122 | static inline Real dummy_precision() |
123 | { |
124 | // make sure to override this for floating-point types |
125 | return Real(0); |
126 | } |
127 | |
128 | |
129 | EIGEN_DEVICE_FUNC |
130 | static inline T highest() { |
131 | return (numext::numeric_limits<T>::max)(); |
132 | } |
133 | |
134 | EIGEN_DEVICE_FUNC |
135 | static inline T lowest() { |
136 | return IsInteger ? (numext::numeric_limits<T>::min)() : (-(numext::numeric_limits<T>::max)()); |
137 | } |
138 | |
139 | EIGEN_DEVICE_FUNC |
140 | static inline T infinity() { |
141 | return numext::numeric_limits<T>::infinity(); |
142 | } |
143 | |
144 | EIGEN_DEVICE_FUNC |
145 | static inline T quiet_NaN() { |
146 | return numext::numeric_limits<T>::quiet_NaN(); |
147 | } |
148 | }; |
149 | |
150 | template<typename T> struct NumTraits : GenericNumTraits<T> |
151 | {}; |
152 | |
153 | template<> struct NumTraits<float> |
154 | : GenericNumTraits<float> |
155 | { |
156 | EIGEN_DEVICE_FUNC |
157 | static inline float dummy_precision() { return 1e-5f; } |
158 | }; |
159 | |
160 | template<> struct NumTraits<double> : GenericNumTraits<double> |
161 | { |
162 | EIGEN_DEVICE_FUNC |
163 | static inline double dummy_precision() { return 1e-12; } |
164 | }; |
165 | |
166 | template<> struct NumTraits<long double> |
167 | : GenericNumTraits<long double> |
168 | { |
169 | static inline long double dummy_precision() { return 1e-15l; } |
170 | }; |
171 | |
172 | template<typename _Real> struct NumTraits<std::complex<_Real> > |
173 | : GenericNumTraits<std::complex<_Real> > |
174 | { |
175 | typedef _Real Real; |
176 | typedef typename NumTraits<_Real>::Literal Literal; |
177 | enum { |
178 | IsComplex = 1, |
179 | RequireInitialization = NumTraits<_Real>::RequireInitialization, |
180 | ReadCost = 2 * NumTraits<_Real>::ReadCost, |
181 | AddCost = 2 * NumTraits<Real>::AddCost, |
182 | MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost |
183 | }; |
184 | |
185 | EIGEN_DEVICE_FUNC |
186 | static inline Real epsilon() { return NumTraits<Real>::epsilon(); } |
187 | EIGEN_DEVICE_FUNC |
188 | static inline Real dummy_precision() { return NumTraits<Real>::dummy_precision(); } |
189 | EIGEN_DEVICE_FUNC |
190 | static inline int digits10() { return NumTraits<Real>::digits10(); } |
191 | }; |
192 | |
193 | template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols> |
194 | struct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> > |
195 | { |
196 | typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> ArrayType; |
197 | typedef typename NumTraits<Scalar>::Real RealScalar; |
198 | typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real; |
199 | typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar; |
200 | typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> NonInteger; |
201 | typedef ArrayType & Nested; |
202 | typedef typename NumTraits<Scalar>::Literal Literal; |
203 | |
204 | enum { |
205 | IsComplex = NumTraits<Scalar>::IsComplex, |
206 | IsInteger = NumTraits<Scalar>::IsInteger, |
207 | IsSigned = NumTraits<Scalar>::IsSigned, |
208 | RequireInitialization = 1, |
209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::ReadCost, |
210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::AddCost, |
211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::MulCost |
212 | }; |
213 | |
214 | EIGEN_DEVICE_FUNC |
215 | static inline RealScalar epsilon() { return NumTraits<RealScalar>::epsilon(); } |
216 | EIGEN_DEVICE_FUNC |
217 | static inline RealScalar dummy_precision() { return NumTraits<RealScalar>::dummy_precision(); } |
218 | |
219 | static inline int digits10() { return NumTraits<Scalar>::digits10(); } |
220 | }; |
221 | |
222 | template<> struct NumTraits<std::string> |
223 | : GenericNumTraits<std::string> |
224 | { |
225 | enum { |
226 | RequireInitialization = 1, |
227 | ReadCost = HugeCost, |
228 | AddCost = HugeCost, |
229 | MulCost = HugeCost |
230 | }; |
231 | |
232 | static inline int digits10() { return 0; } |
233 | |
234 | private: |
235 | static inline std::string epsilon(); |
236 | static inline std::string dummy_precision(); |
237 | static inline std::string lowest(); |
238 | static inline std::string highest(); |
239 | static inline std::string infinity(); |
240 | static inline std::string quiet_NaN(); |
241 | }; |
242 | |
243 | // Empty specialization for void to allow template specialization based on NumTraits<T>::Real with T==void and SFINAE. |
244 | template<> struct NumTraits<void> {}; |
245 | |
246 | } // end namespace Eigen |
247 | |
248 | #endif // EIGEN_NUMTRAITS_H |
249 | |