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/*
* This file is part of the AzerothCore Project. See AUTHORS file for Copyright information
*
* This program is free software; you can redistribute it and/or modify it
* under the terms of the GNU Affero General Public License as published by the
* Free Software Foundation; either version 3 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 Affero General Public License for
* more details.
*
* You should have received a copy of the GNU General Public License along
* with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "Random.h"
#include "Errors.h"
#include "SFMTRand.h"
#include <memory>
#include <random>
static thread_local std::unique_ptr<SFMTRand> sfmtRand;
static RandomEngine engine;
static SFMTRand* GetRng()
{
if (!sfmtRand)
{
sfmtRand = std::make_unique<SFMTRand>();
}
return sfmtRand.get();
}
int32 irand(int32 min, int32 max)
{
ASSERT(max >= min);
std::uniform_int_distribution<int32> uid(min, max);
return uid(engine);
}
uint32 urand(uint32 min, uint32 max)
{
ASSERT(max >= min);
std::uniform_int_distribution<uint32> uid(min, max);
return uid(engine);
}
uint32 urandms(uint32 min, uint32 max)
{
ASSERT(std::numeric_limits<uint32>::max() / Milliseconds::period::den >= max);
return urand(min * Milliseconds::period::den, max * Milliseconds::period::den);
}
float frand(float min, float max)
{
ASSERT(max >= min);
std::uniform_real_distribution<float> urd(min, max);
return urd(engine);
}
Milliseconds randtime(Milliseconds min, Milliseconds max)
{
long long diff = max.count() - min.count();
ASSERT(diff >= 0);
ASSERT(diff <= (uint32) - 1);
return min + Milliseconds(urand(0, diff));
}
uint32 rand32()
{
return GetRng()->RandomUInt32();
}
double rand_norm()
{
std::uniform_real_distribution<double> urd;
return urd(engine);
}
double rand_chance()
{
std::uniform_real_distribution<double> urd(0.0, 100.0);
return urd(engine);
}
uint32 urandweighted(size_t count, double const* chances)
{
std::discrete_distribution<uint32> dd(chances, chances + count);
return dd(engine);
}
RandomEngine& RandomEngine::Instance()
{
return engine;
}
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