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mt_random.cpp
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/*
A C-program for MT19937, with initialization improved 2002/1/26.
Coded by Takuji Nishimura and Makoto Matsumoto.
Before using, initialize the state by using init_genrand(seed)
or init_by_array(init_key, key_length).
Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. The names of its contributors may not be used to endorse or promote
products derived from this software without specific prior written
permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Any feedback is very welcome.
http://www.math.keio.ac.jp/matumoto/emt.html
email: [email protected]
*/
/* 7-2-03 Nathan Sturtevant
* Turned into C++ class & combined all code from int/float generation
* into a single class.
*/
#include "mt_random.h"
namespace hearts {
const int mt_random::NN = 624;
const int mt_random::MM = 397;
const uint32_t mt_random::MATRIX_A = 0x9908b0dfUL; /* constant vector a */
const uint32_t mt_random::UPPER_MASK = 0x80000000UL; /* most significant w-r bits */
const uint32_t mt_random::LOWER_MASK = 0x7fffffffUL; /* least significant r bits */
/* Initializing the array with a seed */
void mt_random::srand(uint32_t s)
{
mt[0]= s & 0xffffffffUL;
for (mti=1; mti<NN; mti++) {
mt[mti] =
(1812433253UL * (mt[mti-1] ^ (mt[mti-1] >> 30)) + mti);
/* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
/* In the previous versions, MSBs of the seed affect */
/* only MSBs of the array mt[]. */
/* 2002/01/09 modified by Makoto Matsumoto */
mt[mti] &= 0xffffffffUL;
/* for >32 bit machines */
}
}
/* Initialization by "sgenrand()" is an example. Theoretically, */
/* there are 2^19937-1 possible states as an intial state. */
/* This function allows to choose any of 2^19937-1 ones. */
/* Essential bits in "seed_array[]" is following 19937 bits: */
/* (seed_array[0]&UPPER_MASK), seed_array[1], ..., seed_array[N-1]. */
/* (seed_array[0]&LOWER_MASK) is discarded. */
/* Theoretically, */
/* (seed_array[0]&UPPER_MASK), seed_array[1], ..., seed_array[N-1] */
/* can take any values except all zeros. */
void mt_random::lsrand(uint32_t init_key[], int key_length)
/* the length of seed_array[] must be at least N */
{
int i, j, k;
srand(19650218UL);
i=1; j=0;
k = (NN>key_length ? NN : key_length);
for (; k; k--) {
mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1664525UL))
+ init_key[j] + j; /* non linear */
mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
i++; j++;
if (i>=NN) { mt[0] = mt[NN-1]; i=1; }
if (j>=key_length) j=0;
}
for (k=NN-1; k; k--) {
mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1566083941UL))
- i; /* non linear */
mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
i++;
if (i>=NN) { mt[0] = mt[NN-1]; i=1; }
}
mt[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */
}
uint32_t mt_random::rand_long()
{
uint32_t y;
static uint32_t mag01[2]={0x0UL, MATRIX_A};
/* mag01[x] = x * MATRIX_A for x=0,1 */
if (mti >= NN) { /* generate N words at one time */
int kk;
if (mti == NN+1) /* if init_genrand() has not been called, */
srand(5489UL); /* a default initial seed is used */
for (kk=0;kk<NN-MM;kk++) {
y = (mt[kk]&UPPER_MASK)|(mt[kk+1]&LOWER_MASK);
mt[kk] = mt[kk+MM] ^ (y >> 1) ^ mag01[y & 0x1UL];
}
for (;kk<NN-1;kk++) {
y = (mt[kk]&UPPER_MASK)|(mt[kk+1]&LOWER_MASK);
mt[kk] = mt[kk+(MM-NN)] ^ (y >> 1) ^ mag01[y & 0x1UL];
}
y = (mt[NN-1]&UPPER_MASK)|(mt[0]&LOWER_MASK);
mt[NN-1] = mt[MM-1] ^ (y >> 1) ^ mag01[y & 0x1UL];
mti = 0;
}
y = mt[mti++];
/* Tempering */
y ^= (y >> 11);
y ^= (y << 7) & 0x9d2c5680UL;
y ^= (y << 15) & 0xefc60000UL;
y ^= (y >> 18);
return y;
}
double mt_random::rand_double()
{
/* reals: [0,1)-interval */
return rand_long()*(1.0/4294967296.0);
}
uint32_t mt_random::ranged_long(uint32_t minimum, uint32_t maximum)
{
//if (minimum <= maximum) cerr << "bad range for ranged_long" << endl;
if (minimum >= maximum)
return minimum;
else
{
double num = rand_double();
double range = maximum + 1 - minimum; // number of sections to divide num into (inclusive!)
double normalized = num * range; // mutliply by num sections, divide by max rand val
return minimum + (uint32_t)normalized;
}
}
} // namespace hearts