+/* Copyright (c) 2007, 2008, 2009, 2010. The SimGrid Team.
+ * All rights reserved. */
+
+/* This program is free software; you can redistribute it and/or modify it
+ * under the terms of the license (GNU LGPL) which comes with this package. */
+
#include "surf/random_mgr.h"
#include "xbt/sysdep.h"
+#include "internal_config.h" /*_XBT_WIN32*/
+#include <math.h>
+#include <stdlib.h>
-#ifdef WIN32
+XBT_LOG_NEW_DEFAULT_SUBCATEGORY(random, surf, "Random part of surf");
+
+#ifdef _XBT_WIN32
static unsigned int _seed = 2147483647;
+#ifdef __VISUALC__
typedef unsigned __int64 uint64_t;
typedef unsigned int uint32_t;
+#endif
-struct drand48_data
-{
- unsigned short int __x[3]; /* Current state. */
- unsigned short int __old_x[3]; /* Old state. */
- unsigned short int __c; /* Additive const. in congruential formula. */
- unsigned short int __init; /* Flag for initializing. */
- unsigned long long int __a; /* Factor in congruential formula. */
+struct drand48_data {
+ unsigned short int __x[3]; /* Current state. */
+ unsigned short int __old_x[3]; /* Old state. */
+ unsigned short int __c; /* Additive const. in congruential formula. */
+ unsigned short int __init; /* Flag for initializing. */
+ unsigned long long int __a; /* Factor in congruential formula. */
};
-static struct drand48_data __libc_drand48_data = {0};
-
-union ieee754_double
- {
- double d;
-
- /* This is the IEEE 754 double-precision format. */
- struct
- {
- /* Together these comprise the mantissa. */
- unsigned int mantissa1:32;
- unsigned int mantissa0:20;
- unsigned int exponent:11;
- unsigned int negative:1;
- /* Little endian. */
- } ieee;
-
- /* This format makes it easier to see if a NaN is a signalling NaN. */
- struct
- {
- /* Together these comprise the mantissa. */
- unsigned int mantissa1:32;
- unsigned int mantissa0:19;
- unsigned int quiet_nan:1;
- unsigned int exponent:11;
- unsigned int negative:1;
-
- } ieee_nan;
+static struct drand48_data __libc_drand48_data = { 0 };
+
+union ieee754_double {
+ double d;
+
+ /* This is the IEEE 754 double-precision format. */
+ struct {
+ /* Together these comprise the mantissa. */
+ unsigned int mantissa1:32;
+ unsigned int mantissa0:20;
+ unsigned int exponent:11;
+ unsigned int negative:1;
+ /* Little endian. */
+ } ieee;
+
+ /* This format makes it easier to see if a NaN is a signalling NaN. */
+ struct {
+ /* Together these comprise the mantissa. */
+ unsigned int mantissa1:32;
+ unsigned int mantissa0:19;
+ unsigned int quiet_nan:1;
+ unsigned int exponent:11;
+ unsigned int negative:1;
+
+ } ieee_nan;
};
-#define IEEE754_DOUBLE_BIAS 0x3ff /* Added to exponent. */
+#define IEEE754_DOUBLE_BIAS 0x3ff /* Added to exponent. */
-double
-drand48 (void);
+double drand48(void);
int
-_drand48_iterate (unsigned short int xsubi[3], struct drand48_data *buffer);
+_drand48_iterate(unsigned short int xsubi[3], struct drand48_data *buffer);
int
-_erand48_r (unsigned short int xsubi[3], struct drand48_data *buffer, double *result);
+_erand48_r(unsigned short int xsubi[3], struct drand48_data *buffer,
+ double *result);
int
-_erand48_r (unsigned short int xsubi[3], struct drand48_data *buffer, double *result)
+_erand48_r(unsigned short int xsubi[3], struct drand48_data *buffer,
+ double *result)
{
- union ieee754_double temp;
+ union ieee754_double temp;
- /* Compute next state. */
- if (_drand48_iterate(xsubi, buffer) < 0)
- return -1;
+ /* Compute next state. */
+ if (_drand48_iterate(xsubi, buffer) < 0)
+ return -1;
- /* Construct a positive double with the 48 random bits distributed over
- its fractional part so the resulting FP number is [0.0,1.0). */
+ /* Construct a positive double with the 48 random bits distributed over
+ its fractional part so the resulting FP number is [0.0,1.0). */
- temp.ieee.negative = 0;
- temp.ieee.exponent = IEEE754_DOUBLE_BIAS;
- temp.ieee.mantissa0 = (xsubi[2] << 4) | (xsubi[1] >> 12);
- temp.ieee.mantissa1 = ((xsubi[1] & 0xfff) << 20) | (xsubi[0] << 4);
+ temp.ieee.negative = 0;
+ temp.ieee.exponent = IEEE754_DOUBLE_BIAS;
+ temp.ieee.mantissa0 = (xsubi[2] << 4) | (xsubi[1] >> 12);
+ temp.ieee.mantissa1 = ((xsubi[1] & 0xfff) << 20) | (xsubi[0] << 4);
- /* Please note the lower 4 bits of mantissa1 are always 0. */
- *result = temp.d - 1.0;
+ /* Please note the lower 4 bits of mantissa1 are always 0. */
+ *result = temp.d - 1.0;
- return 0;
+ return 0;
}
-int
-_drand48_iterate (unsigned short int xsubi[3], struct drand48_data *buffer)
+int _drand48_iterate(unsigned short int xsubi[3],
+ struct drand48_data *buffer)
{
- uint64_t X;
- uint64_t result;
+ uint64_t X;
+ uint64_t result;
- /* Initialize buffer, if not yet done. */
+ /* Initialize buffer, if not yet done. */
- if(buffer->__init == 0)
- {
- buffer->__a = 0x5deece66dull;
- buffer->__c = 0xb;
- buffer->__init = 1;
- }
+ if (buffer->__init == 0) {
+ buffer->__a = 0x5deece66dull;
+ buffer->__c = 0xb;
+ buffer->__init = 1;
+ }
- /* Do the real work. We choose a data type which contains at least
- 48 bits. Because we compute the modulus it does not care how
- many bits really are computed. */
+ /* Do the real work. We choose a data type which contains at least
+ 48 bits. Because we compute the modulus it does not care how
+ many bits really are computed. */
- X = (uint64_t) xsubi[2] << 32 | (uint32_t) xsubi[1] << 16 | xsubi[0];
+ X = (uint64_t) xsubi[2] << 32 | (uint32_t) xsubi[1] << 16 | xsubi[0];
- result = X * buffer->__a + buffer->__c;
+ result = X * buffer->__a + buffer->__c;
- xsubi[0] = result & 0xffff;
- xsubi[1] = (result >> 16) & 0xffff;
- xsubi[2] = (result >> 32) & 0xffff;
+ xsubi[0] = result & 0xffff;
+ xsubi[1] = (result >> 16) & 0xffff;
+ xsubi[2] = (result >> 32) & 0xffff;
- return 0;
+ return 0;
}
-double
-_drand48 (void)
+double _drand48(void)
{
- double result;
+ double result;
- (void) _erand48_r (__libc_drand48_data.__x, &__libc_drand48_data, &result);
+ (void) _erand48_r(__libc_drand48_data.__x, &__libc_drand48_data,
+ &result);
- return result;
- }
+ return result;
+}
-void
-_srand(unsigned int seed)
+void _srand(unsigned int seed)
{
- _seed = seed;
+ _seed = seed;
}
-int
-_rand(void)
+int _rand(void)
{
- const long a = 16807;
- const long m = 2147483647;
- const long q = 127773; /* (m/a) */
- const long r = 2836; /* (m%a) */
+ const long a = 16807;
+ const long m = 2147483647;
+ const long q = 127773; /* (m/a) */
+ const long r = 2836; /* (m%a) */
- long lo, k, s;
+ long lo, k, s;
- s = (long)_seed;
+ s = (long) _seed;
- k = (long)(s/q);
+ k = (long) (s / q);
- lo = (s - q * k);
+ lo = (s - q * k);
- s = a * lo -r * k;
+ s = a * lo - r * k;
- if(s <= 0)
- s += m;
+ if (s <= 0)
+ s += m;
- _seed = (int)(s & RAND_MAX);
+ _seed = (int) (s & RAND_MAX);
- return _seed;
+ return _seed;
}
-int
-_rand_r(unsigned int* pseed)
+int _rand_r(unsigned int *pseed)
{
- const long a = 16807;
- const long m = 2147483647;
- const long q = 127773; /* (m/a) */
- const long r = 2836; /* (m%a) */
+ const long a = 16807;
+ const long m = 2147483647;
+ const long q = 127773; /* (m/a) */
+ const long r = 2836; /* (m%a) */
- long lo, k, s;
+ long lo, k, s;
- s = (long)*pseed;
+ s = (long) *pseed;
- k = (long)(s/q);
+ k = (long) (s / q);
- lo = (s - q * k);
+ lo = (s - q * k);
- s = a * lo -r * k;
+ s = a * lo - r * k;
- if(s <= 0)
- s += m;
+ if (s <= 0)
+ s += m;
- return (int)(s & RAND_MAX);
+ return (int) (s & RAND_MAX);
}
#endif
-static double custom_random(Generator generator, long int *seed){
- switch(generator) {
-
- case DRAND48:
- return drand48();
- case RAND:
- return (double)rand_r((unsigned int*)seed)/RAND_MAX;
- default:
- return drand48();
- }
+static double custom_random(e_random_generator_t generator, long int *seed)
+{
+ switch (generator) {
+
+ case DRAND48:
+ return drand48();
+ case RAND:
+ return (double) rand_r((unsigned int *) seed) / RAND_MAX;
+ case RNGSTREAM :
+ XBT_INFO("Seen RNGSTREAM");
+ return 0.0;
+ default:
+ return drand48();
+ }
}
/* Generate numbers between min and max with a given mean and standard deviation */
-double random_generate(random_data_t random) {
+double random_generate(random_data_t random)
+{
double a, b;
double alpha, beta, gamma;
double U1, U2, V, W, X;
- if (random == NULL) return 0.0f;
+ if (random == NULL)
+ return 0.0f;
if (random->std == 0)
- return random->mean * (random->max - random->min) + random->min;
+ return random->mean * (random->max - random->min) + random->min;
- a = random->mean * ( random->mean * (1 - random->mean) / (random->std*random->std) - 1 );
- b = (1 - random->mean) * ( random->mean * (1 - random->mean) / (random->std*random->std) - 1 );
+ a = random->mean * (random->mean * (1 - random->mean) /
+ (random->std * random->std) - 1);
+ b = (1 -
+ random->mean) * (random->mean * (1 -
+ random->mean) / (random->std *
+ random->std) - 1);
alpha = a + b;
if (a <= 1. || b <= 1.)
- beta = ((1./a)>(1./b))?(1./a):(1./b);
+ beta = ((1. / a) > (1. / b)) ? (1. / a) : (1. / b);
else
- beta = sqrt ((alpha-2.) / (2.*a*b - alpha));
- gamma = a + 1./beta;
+ beta = sqrt((alpha - 2.) / (2. * a * b - alpha));
+ gamma = a + 1. / beta;
do {
/* Random generation for the Beta distribution based on
* R. C. H. Cheng (1978). Generating beta variates with nonintegral shape parameters. _Communications of the ACM_, *21*, 317-322.
* It is good for speed because it does not call math functions many times and respect the 4 given constraints
*/
- U1 = custom_random(random->generator,&(random->seed));
- U2 = custom_random(random->generator,&(random->seed));
+ U1 = custom_random(random->generator, &(random->seed));
+ U2 = custom_random(random->generator, &(random->seed));
- V = beta * log(U1/(1-U1));
+ V = beta * log(U1 / (1 - U1));
W = a * exp(V);
- } while (alpha * log(alpha/(b + W)) + gamma*V - log(4) < log(U1*U1*U2));
+ } while (alpha * log(alpha / (b + W)) + gamma * V - log(4) <
+ log(U1 * U1 * U2));
X = W / (b + W);
return X * (random->max - random->min) + random->min;
}
-random_data_t random_new(Generator generator, long int seed,
- double min, double max,
- double mean, double std){
+random_data_t random_new(e_random_generator_t generator, long int seed,
+ double min, double max, double mean, double std)
+{
random_data_t random = xbt_new0(s_random_data_t, 1);
random->generator = generator;
/* Check user stupidities */
if (max < min)
- THROW2(arg_error,0,"random->max < random->min (%f < %f)",max, min);
+ THROWF(arg_error, 0, "random->max < random->min (%f < %f)", max, min);
if (mean < min)
- THROW2(arg_error,0,"random->mean < random->min (%f < %f)",mean, min);
+ THROWF(arg_error, 0, "random->mean < random->min (%f < %f)", mean,
+ min);
if (mean > max)
- THROW2(arg_error,0,"random->mean > random->max (%f > %f)",mean, max);
+ THROWF(arg_error, 0, "random->mean > random->max (%f > %f)", mean,
+ max);
/* normalize the mean and standard deviation before storing */
random->mean = (mean - min) / (max - min);
random->std = std / (max - min);
- if (random->mean * (1-random->mean) < random->std*random->std)
- THROW2(arg_error,0,"Invalid mean and standard deviation (%f and %f)",random->mean, random->std);
+ if (random->mean * (1 - random->mean) < random->std * random->std)
+ THROWF(arg_error, 0, "Invalid mean and standard deviation (%f and %f)",
+ random->mean, random->std);
return random;
}