LSST Applications  21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
Random.h
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1 // -*- lsst-c++ -*-
2 
3 /*
4  * LSST Data Management System
5  * Copyright 2008, 2009, 2010 LSST Corporation.
6  *
7  * This product includes software developed by the
8  * LSST Project (http://www.lsst.org/).
9  *
10  * This program is free software: you can redistribute it and/or modify
11  * it under the terms of the GNU General Public License as published by
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14  *
15  * This program is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18  * GNU General Public License for more details.
19  *
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21  * the GNU General Public License along with this program. If not,
22  * see <http://www.lsstcorp.org/LegalNotices/>.
23  */
24 
25 /*
26  * Random number generator class.
27  */
28 
29 #ifndef LSST_AFW_MATH_RANDOM_H
30 #define LSST_AFW_MATH_RANDOM_H
31 
32 #include <memory>
33 
34 #include "gsl/gsl_rng.h"
35 
36 #include "lsst/pex/exceptions.h"
37 
38 namespace lsst {
39 namespace afw {
40 namespace math {
41 
57 class Random final {
58 public:
60  enum Algorithm {
62  MT19937 = 0,
83  MRG,
93  };
94 
95  // -- Constructor --------
110  explicit Random(Algorithm algorithm = MT19937, unsigned long seed = 1);
123  explicit Random(std::string const &algorithm, unsigned long seed = 1);
124 
125  // Use compiler generated destructor and shallow copy constructor/assignment operator
126  Random(Random const &) = default;
127  Random(Random &&) = default;
128  Random &operator=(Random const &) = default;
129  Random &operator=(Random &&) = default;
130  ~Random() = default;
131 
141  Random deepCopy() const;
142 
144 
155  State getState() const;
156  void setState(State const &state);
157  std::size_t getStateSize() const;
159 
160  // -- Accessors --------
164  Algorithm getAlgorithm() const;
177  unsigned long getSeed() const;
178 
179  // -- Modifiers: generating random numbers --------
192  double uniform();
204  double uniformPos();
223  unsigned long uniformInt(unsigned long n);
224 
225  // -- Modifiers: computing random variates for various distributions --------
233  double flat(double const a, double const b);
242  double gaussian();
249  double chisq(double const nu);
256  double poisson(double const mu);
257 
258 private:
260  unsigned long _seed;
261  Algorithm _algorithm;
262 
263  static ::gsl_rng_type const *const _gslRngTypes[NUM_ALGORITHMS];
264  static char const *const _algorithmNames[NUM_ALGORITHMS];
265  static char const *const _algorithmEnvVarName;
266  static char const *const _seedEnvVarName;
267 
271  void initialize();
280  void initialize(std::string const &algorithm);
281 };
282 
283 /*
284  * Create Images containing random numbers
285  */
292 template <typename ImageT>
293 void randomUniformImage(ImageT *image, Random &rand);
294 
301 template <typename ImageT>
302 void randomUniformPosImage(ImageT *image, Random &rand);
303 
311 template <typename ImageT>
312 void randomUniformIntImage(ImageT *image, Random &rand, unsigned long n);
313 
322 template <typename ImageT>
323 void randomFlatImage(ImageT *image, Random &rand, double const a, double const b);
324 
331 template <typename ImageT>
332 void randomGaussianImage(ImageT *image, Random &rand);
333 
341 template <typename ImageT>
342 void randomChisqImage(ImageT *image, Random &rand, double const nu);
343 
351 template <typename ImageT>
352 void randomPoissonImage(ImageT *image, Random &rand, double const mu);
353 } // namespace math
354 } // namespace afw
355 } // namespace lsst
356 
357 #endif // LSST_AFW_MATH_RANDOM_H
table::Key< int > b
table::Key< int > a
A class that can be used to generate sequences of random numbers according to a number of different a...
Definition: Random.h:57
Random(Algorithm algorithm=MT19937, unsigned long seed=1)
Creates a random number generator that uses the given algorithm to produce random numbers,...
Definition: Random.cc:89
Random(Random &&)=default
Algorithm
Identifiers for the list of supported algorithms.
Definition: Random.h:60
@ MT19937
The MT19937 "Mersenne Twister" generator of Makoto Matsumoto and Takuji Nishimura.
Definition: Random.h:62
@ TAUS
A maximally equidistributed combined Tausworthe generator by L'Ecuyer.
Definition: Random.h:85
@ RANLUX
Original version of the RANLUX algorithm, 24-bit output.
Definition: Random.h:77
@ RANLXS2
Second-generation version of the RANLUX algorithm of Lüscher, 24-bit output, luxury level 2 (stronges...
Definition: Random.h:71
@ RANLXD1
Double precision (48-bit) output using the RANLXS algorithm, luxury level 1 (weakest).
Definition: Random.h:73
@ NUM_ALGORITHMS
Number of supported algorithms.
Definition: Random.h:92
@ MRG
Fifth-order multiple recursive generator by L'Ecuyer, Blouin, and Coutre.
Definition: Random.h:83
@ GFSR4
A fifth-order multiple recursive generator by L'Ecuyer, Blouin, and Coutre.
Definition: Random.h:90
@ RANLXS1
Second-generation version of the RANLUX algorithm of Lüscher, 24-bit output, luxury level 1 (stronger...
Definition: Random.h:68
@ RANLXD2
Double precision (48-bit) output using the RANLXS algorithm, luxury level 2 (strongest).
Definition: Random.h:75
@ RANLXS0
Second-generation version of the RANLUX algorithm of Lüscher, 24-bit output, luxury level 0 (weakest)
Definition: Random.h:65
@ CMRG
Combined multiple recursive generator by L'Ecuyer.
Definition: Random.h:81
@ TAUS2
A maximally equidistributed combined Tausworthe generator by L'Ecuyer with improved seeding relative ...
Definition: Random.h:88
@ RANLUX389
Original version of the RANLUX algorithm, 24-bit output (all bits are decorrelated).
Definition: Random.h:79
double uniformPos()
Returns a uniformly distributed random double precision floating point number from the generator.
Definition: Random.cc:148
double chisq(double const nu)
Returns a random variate from the chi-squared distribution with nu degrees of freedom.
Definition: Random.cc:163
Random deepCopy() const
Creates a deep copy of this random number generator.
Definition: Random.cc:100
static std::vector< std::string > const & getAlgorithmNames()
Definition: Random.cc:132
double poisson(double const mu)
Returns a random variate from the poisson distribution with mean mu.
Definition: Random.cc:165
Random & operator=(Random const &)=default
Algorithm getAlgorithm() const
Definition: Random.cc:128
std::string getAlgorithmName() const
Definition: Random.cc:130
Random & operator=(Random &&)=default
unsigned long getSeed() const
Definition: Random.cc:142
double gaussian()
Returns a gaussian random variate with mean 0 and standard deviation 1
Definition: Random.cc:161
void setState(State const &state)
Definition: Random.cc:113
Random(Random const &)=default
std::size_t getStateSize() const
Definition: Random.cc:124
State getState() const
Definition: Random.cc:109
double uniform()
Returns a uniformly distributed random double precision floating point number from the generator.
Definition: Random.cc:146
unsigned long uniformInt(unsigned long n)
Returns a uniformly distributed random integer from 0 to n-1.
Definition: Random.cc:150
double flat(double const a, double const b)
Returns a random variate from the flat (uniform) distribution on [a, b).
Definition: Random.cc:159
Backwards-compatibility support for depersisting the old Calib (FluxMag0/FluxMag0Err) objects.
class[[deprecated("Removed with no replacement (but see lsst::afw::image::TransmissionCurve). Will be " "removed after v22.")]] FilterProperty final
Describe the properties of a Filter (e.g.
Definition: Filter.h:53
void randomUniformImage(ImageT *image, Random &rand)
Set image to random numbers uniformly distributed in the range [0, 1)
Definition: RandomImage.cc:110
void randomPoissonImage(ImageT *image, Random &rand, double const mu)
Set image to random numbers with a Poisson distribution with mean mu (n.b.
Definition: RandomImage.cc:140
void randomGaussianImage(ImageT *image, Random &rand)
Set image to random numbers with a gaussian N(0, 1) distribution.
Definition: RandomImage.cc:130
void randomUniformPosImage(ImageT *image, Random &rand)
Set image to random numbers uniformly distributed in the range (0, 1)
Definition: RandomImage.cc:115
void randomFlatImage(ImageT *image, Random &rand, double const a, double const b)
Set image to random numbers uniformly distributed in the range [a, b)
Definition: RandomImage.cc:125
void randomChisqImage(ImageT *image, Random &rand, double const nu)
Set image to random numbers with a chi^2_{nu} distribution.
Definition: RandomImage.cc:135
void randomUniformIntImage(ImageT *image, Random &rand, unsigned long n)
Set image to random integers uniformly distributed in the range 0 ...
Definition: RandomImage.cc:120
A base class for image defects.