Implement the same random generator as DF uses for DFHack.
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/*
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https://github.com/peterix/dfhack
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Copyright (c) 2009-2012 Petr Mrázek (peterix@gmail.com)
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This software is provided 'as-is', without any express or implied
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warranty. In no event will the authors be held liable for any
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damages arising from the use of this software.
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Permission is granted to anyone to use this software for any
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purpose, including commercial applications, and to alter it and
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redistribute it freely, subject to the following restrictions:
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1. The origin of this software must not be misrepresented; you must
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not claim that you wrote the original software. If you use this
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software in a product, an acknowledgment in the product documentation
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would be appreciated but is not required.
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2. Altered source versions must be plainly marked as such, and
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must not be misrepresented as being the original software.
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3. This notice may not be removed or altered from any source
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distribution.
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*/
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#pragma once
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#ifndef CL_MOD_RANDOM
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#define CL_MOD_RANDOM
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/**
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* \defgroup grp_translation Translation: DF word tables and name translation/reading
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* @ingroup grp_modules
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*/
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#include "Export.h"
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#include "Module.h"
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#include "Types.h"
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#include "DataDefs.h"
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namespace DFHack
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{
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namespace Random
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{
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class DFHACK_EXPORT MersenneRNG
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{
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static const unsigned MT_LEN = 624;
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unsigned mt_index;
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uint32_t mt_buffer[MT_LEN];
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void twist();
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void prefill(unsigned step, int twist_cnt);
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public:
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void init(const uint32_t *pseed, unsigned cnt, int twist_cnt = 1);
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void init(); // uses time
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void init(uint32_t seed, int twist_cnt = 1) { init(&seed, 1, twist_cnt); }
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// [0, 2^32)
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uint32_t random() {
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if (mt_index >= MT_LEN) twist();
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return mt_buffer[mt_index++];
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}
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// [0, limit)
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uint32_t random(uint32_t limit) {
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return uint32_t(uint64_t(random())*limit >> 32);
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}
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// (0, 1)
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double drandom0() {
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return (double(random())+1)/4294967297.0;
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}
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// [0, 1)
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double drandom() {
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return double(random())/4294967296.0;
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}
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// [0, 1]
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double drandom1() {
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return double(random())/4294967295.0;
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}
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// [-1, 1]
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double unitrandom() {
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return drandom1()*2.0 - 1.0;
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}
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// Two exact replicas of functions in DF code
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int32_t df_trandom(uint32_t max=2147483647LU);
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int32_t df_loadtrandom(uint32_t max=2147483647LU);
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template<class T>
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void unitvector(T *p, int size);
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template<class T>
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void permute(T *p, int size) {
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while(size > 1)
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{
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int j = random(size--);
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T c = p[j]; p[j] = p[size]; p[size] = c;
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}
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}
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};
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extern template void MersenneRNG::unitvector<float>(float *p, int size);
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extern template void MersenneRNG::unitvector<double>(double *p, int size);
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}
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}
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#endif
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@ -0,0 +1,147 @@
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/*
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https://github.com/peterix/dfhack
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Copyright (c) 2009-2012 Petr Mrázek (peterix@gmail.com)
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This software is provided 'as-is', without any express or implied
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warranty. In no event will the authors be held liable for any
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damages arising from the use of this software.
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Permission is granted to anyone to use this software for any
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purpose, including commercial applications, and to alter it and
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redistribute it freely, subject to the following restrictions:
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1. The origin of this software must not be misrepresented; you must
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not claim that you wrote the original software. If you use this
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software in a product, an acknowledgment in the product documentation
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would be appreciated but is not required.
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2. Altered source versions must be plainly marked as such, and
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must not be misrepresented as being the original software.
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3. This notice may not be removed or altered from any source
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distribution.
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*/
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#include "Internal.h"
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#include <string>
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#include <vector>
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#include <map>
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using namespace std;
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#include "modules/Random.h"
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#include "VersionInfo.h"
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#include "MemAccess.h"
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#include "Types.h"
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#include "ModuleFactory.h"
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#include "Core.h"
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#include "Error.h"
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#include <cmath>
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using namespace DFHack;
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using namespace df::enums;
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using namespace DFHack::Random;
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//public domain RNG stuff by Michael Brundage
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//modified to be compatible with the version in DF
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#define MT_IA 397
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#define MT_IB (MT_LEN - MT_IA)
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#define UPPER_MASK 0x80000000
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#define LOWER_MASK 0x7FFFFFFF
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#define MATRIX_A 0x9908B0DF
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#define TWIST(b,i,j) ((b)[i] & UPPER_MASK) | ((b)[j] & LOWER_MASK)
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#define MAGIC(s) (((s)&1)*MATRIX_A)
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void MersenneRNG::twist()
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{
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uint32_t *b = mt_buffer;
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uint32_t s;
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unsigned i;
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i = 0;
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for (; i < MT_IB; i++) {
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s = TWIST(b, i, i+1);
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b[i] = b[i + MT_IA] ^ (s >> 1) ^ MAGIC(s);
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}
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for (; i < MT_LEN-1; i++) {
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s = TWIST(b, i, i+1);
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b[i] = b[i - MT_IB] ^ (s >> 1) ^ MAGIC(s);
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}
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s = TWIST(b, MT_LEN-1, 0);
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b[MT_LEN-1] = b[MT_IA-1] ^ (s >> 1) ^ MAGIC(s);
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mt_index = 0;
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}
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void MersenneRNG::prefill(unsigned step, int twist_cnt)
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{
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for(unsigned i=step;i<MT_LEN;i++)
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{
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//2010: better init line from wikipedia, ultimate source unknown
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mt_buffer[i]=1812433253UL * (mt_buffer[i-step] ^ (mt_buffer[i-step]>>30)) + i;
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}
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mt_index = 0;
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for(int j=0;j<twist_cnt;j++)
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twist();
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}
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void MersenneRNG::init()
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{
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init(Core::getInstance().p->getTickCount(), 20);
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}
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void MersenneRNG::init(const uint32_t *pseed, unsigned cnt, int twist_cnt)
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{
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memcpy(mt_buffer, pseed, cnt*sizeof(uint32_t));
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prefill(cnt, twist_cnt);
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}
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int32_t MersenneRNG::df_trandom(uint32_t max)
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{
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if(max<=1)return 0;
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uint32_t seed=random();
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seed=seed%2147483647LU;
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seed=seed/((2147483647LU/max)+1);
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return((int32_t)seed);
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}
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int32_t MersenneRNG::df_loadtrandom(uint32_t max)
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{
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uint32_t seed=random();
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seed=seed%max;
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return((int32_t)seed);
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}
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template<class T>
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void MersenneRNG::unitvector(T *p, int size)
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{
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for (;;)
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{
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T rsqr = 0;
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for (int i = 0; i < size; i++)
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{
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p[i] = (T)unitrandom();
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rsqr += p[i]*p[i];
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}
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if (rsqr > 0 && rsqr <= 1)
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{
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rsqr = std::sqrt(rsqr);
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for (int i = 0; i < size; i++)
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p[i] /= rsqr;
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break;
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}
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}
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}
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template void MersenneRNG::unitvector<float>(float *p, int size);
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template void MersenneRNG::unitvector<double>(double *p, int size);
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