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// -*- C++ -*-
//
// RandomGenerator.cc is a part of ThePEG - Toolkit for HEP Event Generation
// Copyright (C) 1999-2011 Leif Lonnblad
//
// ThePEG is licenced under version 2 of the GPL, see COPYING for details.
// Please respect the MCnet academic guidelines, see GUIDELINES for details.
//
//
// This is the implementation of the non-inlined, non-templated member
// functions of the RandomGenerator class.
//
#include "RandomGenerator.h"
#include "ThePEG/Persistency/PersistentOStream.h"
#include "ThePEG/Persistency/PersistentIStream.h"
#include "ThePEG/Interface/Parameter.h"
#include "ThePEG/Interface/ClassDocumentation.h"
#include "gsl/gsl_randist.h"
extern "C" {
typedef struct
{
ThePEG::RandomGenerator * r;
}
thepeg_random_state_t;
void thepeg_random_set(void *, unsigned long int) {}
double thepeg_random_get_double(void * s) {
return static_cast<thepeg_random_state_t *>(s)->r->rnd();
}
unsigned long int thepeg_random_get(void * s) {
return static_cast<unsigned long int>(std::numeric_limits<unsigned long int>::max()*thepeg_random_get_double(s));
}
static const gsl_rng_type thepeg_random_type =
{"thepeg_random",
(unsigned long int)std::numeric_limits<unsigned>::max(),
0,
sizeof(thepeg_random_state_t),
&thepeg_random_set,
&thepeg_random_get,
&thepeg_random_get_double};
const gsl_rng_type *gsl_rng_thepeg_random = &thepeg_random_type;
}
using namespace ThePEG;
RandomGenerator::RandomGenerator()
: theNumbers(1000), theSize(1000), theSeed(-1),
savedGauss(0.0), gaussSaved(false) {
nextNumber = theNumbers.end();
gsl = gsl_rng_alloc(gsl_rng_thepeg_random);
static_cast<thepeg_random_state_t *>(gsl->state)->r = this;
}
RandomGenerator::RandomGenerator(const RandomGenerator & rg)
: Interfaced(rg), theNumbers(rg.theNumbers), theSize(rg.theSize),
theSeed(rg.theSeed), savedGauss(rg.savedGauss),
gaussSaved(rg.gaussSaved) {
nextNumber = theNumbers.begin() +
( RndVector::const_iterator(rg.nextNumber) - rg.theNumbers.begin() );
gsl = gsl_rng_alloc(gsl_rng_thepeg_random);
static_cast<thepeg_random_state_t *>(gsl->state)->r = this;
}
RandomGenerator::~RandomGenerator() {
gsl_rng_free(gsl);
}
void RandomGenerator::doinit() {
if ( theSeed != 0 ) setSeed(theSeed);
flush();
}
void RandomGenerator::setSize(size_type newSize) {
RndVector newNumbers(newSize);
RndVector::iterator nextNew = newNumbers.end() -
min( int(theNumbers.end() - nextNumber), int(newSize) );
for ( RndVector::iterator i = nextNew; i != newNumbers.end(); ++i )
*i = *nextNumber++;
RndVector::difference_type pos = nextNew - newNumbers.begin();
theNumbers.swap(newNumbers);
nextNumber = theNumbers.begin() + pos;
}
bool RandomGenerator::rndbool(double p) {
if ( p >= 1.0 ) return true;
if ( p <= 0.0 ) return false;
double r = rnd();
if ( r < p ) {
push_back(r/p);
return true;
} else {
push_back((r - p)/(1.0 - p));
return false;
}
}
int RandomGenerator::rndsign(double p1, double p2, double p3) {
double sum = p1 + p2 + p3;
double r = rnd()*sum;
if ( r < p1 ) {
push_back(r/p1);
return -1;
} else if ( r < p1 + p2 ) {
push_back((r - p1)/p2);
return 0;
} else {
push_back((r - p1 - p2)/p3);
return 1;
}
}
int RandomGenerator::rnd4(double p0, double p1, double p2, double p3) {
double sum = p0 + p1 + p2 + p3;
double r = rnd()*sum;
if ( r < p0 ) {
push_back(r/p0);
return 0;
} else if ( r < p0 + p1 ) {
push_back((r - p0)/p1);
return 1;
} else if ( r < p0 + p1 + p2 ) {
push_back((r - p0 - p1)/p2);
return 2;
} else {
push_back((r - p0 - p1 - p2)/p3);
return 3;
}
}
long RandomGenerator::rndPoisson(double mean) {
return gsl_ran_poisson(gsl, mean);
}
void RandomGenerator::persistentOutput(PersistentOStream & os) const {
os << theNumbers
<< RndVector::const_iterator(nextNumber) - theNumbers.begin() << theSize
<< theSeed << savedGauss << gaussSaved;
}
void RandomGenerator::persistentInput(PersistentIStream & is, int) {
RndVector::difference_type pos;
is >> theNumbers >> pos >> theSize >> theSeed >> savedGauss >> gaussSaved;
nextNumber = theNumbers.begin() + pos;
}
ClassDescription<RandomGenerator> RandomGenerator::initRandomGenerator;
void RandomGenerator::Init() {
static ClassDocumentation<RandomGenerator> documentation
("There is no documentation for the ThePEG::RandomGenerator class");
static Parameter<RandomGenerator,size_type> interfaceSize
("CacheSize",
"The Random numbers are generated in chunks of this size.",
&RandomGenerator::theSize, 1000, 10, 100000, true, false, true,
&RandomGenerator::setSize);
static Parameter<RandomGenerator,long> interfaceSeed
("Seed",
"The seed with which this random generator is initialized. "
"If set to -1, the default build-in seed will be used. If set to zero, no seed will "
"be set.",
&RandomGenerator::theSeed, -1, -1, 100000000, true, false, false);
interfaceSeed.setHasDefault(false);
interfaceSize.rank(10);
interfaceSeed.rank(9);
}
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