LSST Applications  21.0.0+04719a4bac,21.0.0-1-ga51b5d4+f5e6047307,21.0.0-11-g2b59f77+a9c1acf22d,21.0.0-11-ga42c5b2+86977b0b17,21.0.0-12-gf4ce030+76814010d2,21.0.0-13-g1721dae+760e7a6536,21.0.0-13-g3a573fe+768d78a30a,21.0.0-15-g5a7caf0+f21cbc5713,21.0.0-16-g0fb55c1+b60e2d390c,21.0.0-19-g4cded4ca+71a93a33c0,21.0.0-2-g103fe59+bb20972958,21.0.0-2-g45278ab+04719a4bac,21.0.0-2-g5242d73+3ad5d60fb1,21.0.0-2-g7f82c8f+8babb168e8,21.0.0-2-g8f08a60+06509c8b61,21.0.0-2-g8faa9b5+616205b9df,21.0.0-2-ga326454+8babb168e8,21.0.0-2-gde069b7+5e4aea9c2f,21.0.0-2-gecfae73+1d3a86e577,21.0.0-2-gfc62afb+3ad5d60fb1,21.0.0-25-g1d57be3cd+e73869a214,21.0.0-3-g357aad2+ed88757d29,21.0.0-3-g4a4ce7f+3ad5d60fb1,21.0.0-3-g4be5c26+3ad5d60fb1,21.0.0-3-g65f322c+e0b24896a3,21.0.0-3-g7d9da8d+616205b9df,21.0.0-3-ge02ed75+a9c1acf22d,21.0.0-4-g591bb35+a9c1acf22d,21.0.0-4-g65b4814+b60e2d390c,21.0.0-4-gccdca77+0de219a2bc,21.0.0-4-ge8a399c+6c55c39e83,21.0.0-5-gd00fb1e+05fce91b99,21.0.0-6-gc675373+3ad5d60fb1,21.0.0-64-g1122c245+4fb2b8f86e,21.0.0-7-g04766d7+cd19d05db2,21.0.0-7-gdf92d54+04719a4bac,21.0.0-8-g5674e7b+d1bd76f71f,master-gac4afde19b+a9c1acf22d,w.2021.13
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/).
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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
std::string State
Accessors for the opaque state of the random number generator.
Definition: Random.h:154
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.