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/*
* This file derives from SFMT 1.3.3
* (http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/SFMT/index.html), which was
* released under the terms of the following license:
*
* Copyright (c) 2006,2007 Mutsuo Saito, Makoto Matsumoto and Hiroshima
* University. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are
* met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * 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.
* * Neither the name of the Hiroshima University nor the names of
* its contributors may 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.
*/
/**
* @file SFMT.h
*
* @brief SIMD oriented Fast Mersenne Twister(SFMT) pseudorandom
* number generator
*
* @author Mutsuo Saito (Hiroshima University)
* @author Makoto Matsumoto (Hiroshima University)
*
* Copyright (C) 2006, 2007 Mutsuo Saito, Makoto Matsumoto and Hiroshima
* University. All rights reserved.
*
* The new BSD License is applied to this software.
* see LICENSE.txt
*
* @note We assume that your system has inttypes.h. If your system
* doesn't have inttypes.h, you have to typedef uint32_t and uint64_t,
* and you have to define PRIu64 and PRIx64 in this file as follows:
* @verbatim
typedef unsigned int uint32_t
typedef unsigned long long uint64_t
#define PRIu64 "llu"
#define PRIx64 "llx"
@endverbatim
* uint32_t must be exactly 32-bit unsigned integer type (no more, no
* less), and uint64_t must be exactly 64-bit unsigned integer type.
* PRIu64 and PRIx64 are used for printf function to print 64-bit
* unsigned int and 64-bit unsigned int in hexadecimal format.
*/
#ifndef SFMT_H
#define SFMT_H
typedef struct sfmt_s sfmt_t;
uint32_t gen_rand32(sfmt_t *ctx);
uint32_t gen_rand32_range(sfmt_t *ctx, uint32_t limit);
uint64_t gen_rand64(sfmt_t *ctx);
uint64_t gen_rand64_range(sfmt_t *ctx, uint64_t limit);
void fill_array32(sfmt_t *ctx, uint32_t *array, int size);
void fill_array64(sfmt_t *ctx, uint64_t *array, int size);
sfmt_t *init_gen_rand(uint32_t seed);
sfmt_t *init_by_array(uint32_t *init_key, int key_length);
void fini_gen_rand(sfmt_t *ctx);
const char *get_idstring(void);
int get_min_array_size32(void);
int get_min_array_size64(void);
/* These real versions are due to Isaku Wada */
/** generates a random number on [0,1]-real-interval */
static inline double to_real1(uint32_t v) {
return v * (1.0/4294967295.0);
/* divided by 2^32-1 */
}
/** generates a random number on [0,1]-real-interval */
static inline double genrand_real1(sfmt_t *ctx) {
return to_real1(gen_rand32(ctx));
}
/** generates a random number on [0,1)-real-interval */
static inline double to_real2(uint32_t v) {
return v * (1.0/4294967296.0);
/* divided by 2^32 */
}
/** generates a random number on [0,1)-real-interval */
static inline double genrand_real2(sfmt_t *ctx) {
return to_real2(gen_rand32(ctx));
}
/** generates a random number on (0,1)-real-interval */
static inline double to_real3(uint32_t v) {
return (((double)v) + 0.5)*(1.0/4294967296.0);
/* divided by 2^32 */
}
/** generates a random number on (0,1)-real-interval */
static inline double genrand_real3(sfmt_t *ctx) {
return to_real3(gen_rand32(ctx));
}
/** These real versions are due to Isaku Wada */
/** generates a random number on [0,1) with 53-bit resolution*/
static inline double to_res53(uint64_t v) {
return v * (1.0/18446744073709551616.0L);
}
/** generates a random number on [0,1) with 53-bit resolution from two
* 32 bit integers */
static inline double to_res53_mix(uint32_t x, uint32_t y) {
return to_res53(x | ((uint64_t)y << 32));
}
/** generates a random number on [0,1) with 53-bit resolution
*/
static inline double genrand_res53(sfmt_t *ctx) {
return to_res53(gen_rand64(ctx));
}
/** generates a random number on [0,1) with 53-bit resolution
using 32bit integer.
*/
static inline double genrand_res53_mix(sfmt_t *ctx) {
uint32_t x, y;
x = gen_rand32(ctx);
y = gen_rand32(ctx);
return to_res53_mix(x, y);
}
#endif
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