125 lines
3.6 KiB
C++
125 lines
3.6 KiB
C++
/* -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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-----------------------------------------------------------------------------
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rnd_generators.h
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Some utility functors for generating random generators:
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uniform_generator : generates uniform floats or doubles
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random_generator : generates unsigneds, ints etc.
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normal_generator : normally distributed floats or doubles
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(c) Maarten Keijzer (mak@dhi.dk) and GeNeura Team, 1999, 2000
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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Contact: todos@geneura.ugr.es, http://geneura.ugr.es
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*/
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//-----------------------------------------------------------------------------
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#ifndef eoRND_GENERATORS_H
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#define eoRND_GENERATORS_H
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#include "eoRNG.h"
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/**
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The class uniform_generator can be used in the STL generate function
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to easily generate random floats and doubles between [0, _max). _max
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defaults to 1.0
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*/
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template <class T = double> class uniform_generator
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{
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public :
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uniform_generator(T _max = T(1.0), eoRng& _rng = rng) : maxim(_max), uniform(_rng) {}
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T operator()(void) { return (T) uniform.uniform(maxim); }
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private :
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T maxim;
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eoRng& uniform;
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};
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/**
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The class boolean_generator can be used in the STL generate function
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to easily generate random booleans with a specified bias
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*/
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class boolean_generator
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{
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public :
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boolean_generator(float _bias = 0.5, eoRng& _rng = rng) : bias(_bias), gen(_rng) {}
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bool operator()(void) { return gen.flip(0.5); }
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private :
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float bias;
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eoRng& gen;
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};
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/**
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The class random_generator can be used in the STL generate function
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to easily generate random ints between [0, _max).
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*/
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template <class T = uint32> class random_generator
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{
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public :
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random_generator(T _max, eoRng& _rng = rng) : maxim(_max), random(_rng) {}
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T operator()(void) { return (T) random.random(max); }
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private :
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T maxim;
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eoRng& random;
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};
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/// Specialization for bool
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template <>
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bool random_generator<bool>::operator()(void)
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{
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return random.flip(0.5);
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}
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/**
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The class normal_generator can be used in the STL generate function
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to easily generate gaussian distributed floats and doubles. The user
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can supply a standard deviation which defaults to 1.
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*/
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template <class T = double> class normal_generator
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{
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public :
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normal_generator(T _stdev = T(1.0), eoRng& _rng = rng) : stdev(_stdev), normal(_rng) {}
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T operator()(void) { return (T) normal.normal(stdev); }
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private :
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T stdev;
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eoRng& normal;
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};
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/**
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The class negexp_generator can be used in the STL generate function
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to easily generate negative exponential distributed floats and doubles. The user
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can supply a mean.
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*/
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template <class T = double> class negexp_generator
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{
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public :
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negexp_generator(T _mean = 1.0, eoRng& _rng = rng) : mean(_mean), negexp(_rng) {}
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T operator()(void) { return (T) negexp.negexp(mean); }
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private :
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T mean;
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eoRng& negexp;
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};
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#endif
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