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// Rand64.cpp
// this file is part of Context Free
// ---------------------
// Copyright (C) 2008-2015 John Horigan - john@glyphic.com
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
// John Horigan can be contacted at john@glyphic.com or at
// John Horigan, 1209 Villa St., Mountain View, CA 94041-1123, USA
//
//
#include "Rand64.h"
#include "myrandom.h"
#include <cstddef>
Rand64 Rand64::Common;
// Return int in [l,u]
int64_t Rand64::getInt(int64_t l, int64_t u)
{
CF::uniform_int_distribution<int64_t> intRand(l,u);
return intRand(mSeed);
}
// Return int in [0,trials]
int64_t Rand64::getBinomial(int64_t trials, double p)
{
CF::binomial_distribution<int64_t> bd(nat(trials), prob(p));
return bd(mSeed);
}
// Return int in [0,trials]
int64_t Rand64::getNegativeBinomial(int64_t trials, double p)
{
CF::negative_binomial_distribution<int64_t> nbd(nat(trials), prob(p));
return nbd(mSeed);
}
bool Rand64::getBernoulli(double p)
{
CF::bernoulli_distribution bd(prob(p));
return bd(mSeed);
}
int64_t Rand64::getGeometric(double p)
{
CF::geometric_distribution<int64_t> gd(prob(p));
return gd(mSeed);
}
int64_t Rand64::getPoisson(double mean)
{
CF::poisson_distribution<int64_t> pd(pos(mean));
return pd(mSeed);
}
double Rand64::getExponential(double lambda)
{
CF::exponential_distribution<double> ed(pos(lambda));
return ed(mSeed);
}
double Rand64::getGamma(double alpha, double beta)
{
CF::gamma_distribution<double> gd(pos(alpha), pos(beta));
return gd(mSeed);
}
double Rand64::getWeibull(double a, double b)
{
CF::weibull_distribution<double> wd(pos(a), pos(b));
return wd(mSeed);
}
double Rand64::getExtremeValue(double location, double scale)
{
CF::extreme_value_distribution<double> evd(location, pos(scale));
return evd(mSeed);
}
double Rand64::getNormal(double mean, double stddev)
{
CF::normal_distribution<double> nd(mean, stddev);
return nd(mSeed);
}
double Rand64::getLogNormal(double scale, double shape)
{
CF::lognormal_distribution<double> lnd(scale, shape);
return lnd(mSeed);
}
double Rand64::getChiSquared(double freedom)
{
CF::chi_squared_distribution<double> csd(degree(freedom));
return csd(mSeed);
}
double Rand64::getCauchy(double location, double scale)
{
CF::cauchy_distribution<double> cd(location, pos(scale));
return cd(mSeed);
}
double Rand64::getFisherF(double mfree, double nfree)
{
CF::fisher_f_distribution<double> ffd(degree(mfree), degree(nfree));
return ffd(mSeed);
}
double Rand64::getStudentT(double freedom)
{
CF::student_t_distribution<double> sttd(degree(freedom));
return sttd(mSeed);
}
int64_t Rand64::getDiscrete(unsigned count, const double* weights)
{
if (count == 0)
return 0;
std::vector<double> w(count);
for (unsigned i = 0; i < count; ++i)
w[i] = fabs(weights[i]);
std::size_t i(0);
CF::discrete_distribution<int64_t> sd(count, 0, 1,
[&w, &i](double)
{
auto weight = w[i];
++i;
return weight;
});
return sd(mSeed);
}
void Rand64::xorChar(unsigned char c, unsigned i)
{
mSeed.mSeed ^= (static_cast<result_type>(c)) << (i * 8);
}
void Rand64::xorString(const char* t, int& i)
{
for (; *t; ++t) {
xorChar(static_cast<unsigned char>(*t), static_cast<unsigned>(i));
mSeed.discard(1);
i = (i + 1) & 7;
}
}
std::string Rand64::serialize() const
{
static const char* digits = "0123456789ABCDEF";
constexpr std::size_t hex_len = sizeof(mSeed.mSeed) << 1;
std::string rc("0x");
rc.resize(hex_len + 2, '0');
for (std::size_t i=0, j=(hex_len-1)*4 ; i<hex_len; ++i,j-=4)
rc[i + 2] = digits[((mSeed.mSeed)>>j) & 0x0f];
return rc;
}
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