2012-12-06 14:05:11 +00:00
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/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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/*
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* This file is part of the LibreOffice project.
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*
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* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, You can obtain one at http://mozilla.org/MPL/2.0/.
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*
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* Contributor(s):
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* Copyright (C) 2012 Tino Kluge <tino.kluge@hrz.tu-chemnitz.de>
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*/
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#include <boost/random.hpp>
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2014-05-13 08:42:21 +02:00
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#include <comphelper/random.hxx>
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2014-10-03 17:12:23 +01:00
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#include <rtl/instance.hxx>
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2014-04-14 15:41:13 +02:00
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2012-12-06 14:05:11 +00:00
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// this is nothing but a simple wrapper around
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// the boost random generators
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2014-05-13 08:42:21 +02:00
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namespace comphelper
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2012-12-06 14:05:11 +00:00
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{
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namespace rng
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{
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// underlying random number generator
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// boost::mt19937 implements the Mersenne twister algorithm which
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// is fast and has good statistical properties, it produces integers
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// in the range of [0, 2^32-1] internally
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// memory requirement: 625*sizeof(uint32_t)
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// http://en.wikipedia.org/wiki/Mersenne_twister
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#define BOOST_RNG_ALGO boost::mt19937
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2014-10-03 17:12:23 +01:00
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struct RandomNumberGenerator
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{
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BOOST_RNG_ALGO global_rng;
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RandomNumberGenerator()
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{
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// initialises the state of the global random number generator
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// should only be called once.
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// (note, a few boost::variate_generator<> (like normal) have their
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// own state which would need a reset as well to guarantee identical
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// sequence of numbers, e.g. via myrand.distribution().reset())
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global_rng.seed(time(NULL));
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}
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};
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class theRandomNumberGenerator : public rtl::Static<RandomNumberGenerator, theRandomNumberGenerator> {};
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// re-initialises the state of the global random number generator
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void reseed(int i)
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{
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return theRandomNumberGenerator::get().global_rng.seed(i);
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}
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// uniform ints [a,b] distribution
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int uniform_int_distribution(int a, int b)
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{
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boost::random::uniform_int_distribution<int> dist(a, b);
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return dist(theRandomNumberGenerator::get().global_rng);
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}
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// uniform ints [a,b] distribution
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unsigned int uniform_int_distribution(unsigned int a, unsigned int b)
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{
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boost::random::uniform_int_distribution<unsigned int> dist(a, b);
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return dist(theRandomNumberGenerator::get().global_rng);
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}
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2014-10-06 15:26:13 +01:00
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#if SAL_TYPES_SIZEOFLONG == 8
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2014-10-03 17:12:23 +01:00
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// uniform size_t [a,b] distribution
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size_t uniform_int_distribution(size_t a, size_t b)
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2012-12-06 14:05:11 +00:00
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{
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2014-10-03 17:12:23 +01:00
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boost::random::uniform_int_distribution<size_t> dist(a, b);
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return dist(theRandomNumberGenerator::get().global_rng);
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2012-12-06 14:05:11 +00:00
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}
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2014-10-06 15:26:13 +01:00
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#endif
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2014-10-03 17:12:23 +01:00
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// uniform size_t [a,b) distribution
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double uniform_real_distribution(double a, double b)
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2012-12-06 14:05:11 +00:00
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{
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2014-10-07 10:09:44 +03:00
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// Probably too rude to just assert(a < b), so instead...
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if (a >= b)
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return a;
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2014-10-03 17:12:23 +01:00
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boost::random::uniform_real_distribution<double> dist(a, b);
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return dist(theRandomNumberGenerator::get().global_rng);
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2012-12-06 14:05:11 +00:00
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}
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} // namespace
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} // namespace
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/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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