2 * Copyright (c) 1983 Regents of the University of California.
5 * Redistribution and use in source and binary forms are permitted
6 * provided that the above copyright notice and this paragraph are
7 * duplicated in all such forms and that any documentation,
8 * advertising materials, and other materials related to such
9 * distribution and use acknowledge that the software was developed
10 * by the University of California, Berkeley. The name of the
11 * University may not be used to endorse or promote products derived
12 * from this software without specific prior written permission.
13 * THIS SOFTWARE IS PROVIDED ``AS IS'' AND WITHOUT ANY EXPRESS OR
14 * IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED
15 * WARRANTIES OF MERCHANTIBILITY AND FITNESS FOR A PARTICULAR PURPOSE.
19 * This is derived from the Berkeley source:
20 * @(#)random.c 5.5 (Berkeley) 7/6/88
21 * It was reworked for the GNU C Library by Roland McGrath.
22 * Rewritten to be reentrant by Ulrich Drepper, 1995
31 /* An improved random number generation package. In addition to the standard
32 rand()/srand() like interface, this package also has a special state info
33 interface. The initstate() routine is called with a seed, an array of
34 bytes, and a count of how many bytes are being passed in; this array is
35 then initialized to contain information for random number generation with
36 that much state information. Good sizes for the amount of state
37 information are 32, 64, 128, and 256 bytes. The state can be switched by
38 calling the setstate() function with the same array as was initiallized
39 with initstate(). By default, the package runs with 128 bytes of state
40 information and generates far better random numbers than a linear
41 congruential generator. If the amount of state information is less than
42 32 bytes, a simple linear congruential R.N.G. is used. Internally, the
43 state information is treated as an array of longs; the zeroeth element of
44 the array is the type of R.N.G. being used (small integer); the remainder
45 of the array is the state information for the R.N.G. Thus, 32 bytes of
46 state information will give 7 longs worth of state information, which will
47 allow a degree seven polynomial. (Note: The zeroeth word of state
48 information also has some other information stored in it; see setstate
49 for details). The random number generation technique is a linear feedback
50 shift register approach, employing trinomials (since there are fewer terms
51 to sum up that way). In this approach, the least significant bit of all
52 the numbers in the state table will act as a linear feedback shift register,
53 and will have period 2^deg - 1 (where deg is the degree of the polynomial
54 being used, assuming that the polynomial is irreducible and primitive).
55 The higher order bits will have longer periods, since their values are
56 also influenced by pseudo-random carries out of the lower bits. The
57 total period of the generator is approximately deg*(2**deg - 1); thus
58 doubling the amount of state information has a vast influence on the
59 period of the generator. Note: The deg*(2**deg - 1) is an approximation
60 only good for large deg, when the period of the shift register is the
61 dominant factor. With deg equal to seven, the period is actually much
62 longer than the 7*(2**7 - 1) predicted by this formula. */
66 /* For each of the currently supported random number generators, we have a
67 break value on the amount of state information (you need at least thi
68 bytes of state info to support this random number generator), a degree for
69 the polynomial (actually a trinomial) that the R.N.G. is based on, and
70 separation between the two lower order coefficients of the trinomial. */
72 /* Linear congruential. */
78 /* x**7 + x**3 + 1. */
90 /* x**31 + x**3 + 1. */
103 /* Array versions of the above information to make code run faster.
104 Relies on fact that TYPE_i == i. */
106 #define MAX_TYPES 5 /* Max number of types above. */
108 static const int degrees
[MAX_TYPES
] = { DEG_0
, DEG_1
, DEG_2
, DEG_3
, DEG_4
};
109 static const int seps
[MAX_TYPES
] = { SEP_0
, SEP_1
, SEP_2
, SEP_3
, SEP_4
};
114 /* Initialize the random number generator based on the given seed. If the
115 type is the trivial no-state-information type, just remember the seed.
116 Otherwise, initializes state[] based on the given "seed" via a linear
117 congruential generator. Then, the pointers are set to known locations
118 that are exactly rand_sep places apart. Lastly, it cycles the state
119 information a given number of times to get rid of any initial dependencies
120 introduced by the L.C.R.N.G. Note that the initialization of randtbl[]
121 for default usage relies on values produced by this routine. */
125 struct random_data
*buf
;
127 if (buf
== NULL
|| buf
->rand_type
< TYPE_0
|| buf
->rand_type
> TYPE_4
)
131 if (buf
->rand_type
!= TYPE_0
)
134 for (i
= 1; i
< buf
->rand_deg
; ++i
)
137 state[i] = (16807 * state[i - 1]) % 2147483647;
138 but avoids overflowing 31 bits. */
139 long int hi
= buf
->state
[i
- 1] / 127773;
140 long int lo
= buf
->state
[i
- 1] % 127773;
141 long int test
= 16807 * lo
- 2836 * hi
;
142 buf
->state
[i
] = test
+ (test
< 0 ? 2147483647 : 0);
144 buf
->fptr
= &buf
->state
[buf
->rand_sep
];
145 buf
->rptr
= &buf
->state
[0];
146 for (i
= 0; i
< 10 * buf
->rand_deg
; ++i
)
149 (void) __random_r (buf
, &discard
);
156 weak_alias (__srandom_r
, srandom_r
)
157 weak_alias (__srandom_r
, srand_r
)
159 /* Initialize the state information in the given array of N bytes for
160 future random number generation. Based on the number of bytes we
161 are given, and the break values for the different R.N.G.'s, we choose
162 the best (largest) one we can and set things up for it. srandom is
163 then called to initialize the state information. Note that on return
164 from srandom, we set state[-1] to be the type multiplexed with the current
165 value of the rear pointer; this is so successive calls to initstate won't
166 lose this information and will be able to restart with setstate.
167 Note: The first thing we do is save the current state, if any, just like
168 setstate so that it doesn't matter when initstate is called.
169 Returns a pointer to the old state. */
171 __initstate_r (seed
, arg_state
, n
, buf
)
175 struct random_data
*buf
;
180 if (buf
->rand_type
== TYPE_0
)
181 buf
->state
[-1] = buf
->rand_type
;
183 buf
->state
[-1] = (MAX_TYPES
* (buf
->rptr
- buf
->state
)) + buf
->rand_type
;
188 __set_errno (EINVAL
);
191 buf
->rand_type
= TYPE_0
;
192 buf
->rand_deg
= DEG_0
;
193 buf
->rand_sep
= SEP_0
;
195 else if (n
< BREAK_2
)
197 buf
->rand_type
= TYPE_1
;
198 buf
->rand_deg
= DEG_1
;
199 buf
->rand_sep
= SEP_1
;
201 else if (n
< BREAK_3
)
203 buf
->rand_type
= TYPE_2
;
204 buf
->rand_deg
= DEG_2
;
205 buf
->rand_sep
= SEP_2
;
207 else if (n
< BREAK_4
)
209 buf
->rand_type
= TYPE_3
;
210 buf
->rand_deg
= DEG_3
;
211 buf
->rand_sep
= SEP_3
;
215 buf
->rand_type
= TYPE_4
;
216 buf
->rand_deg
= DEG_4
;
217 buf
->rand_sep
= SEP_4
;
220 buf
->state
= &((int32_t *) arg_state
)[1]; /* First location. */
221 /* Must set END_PTR before srandom. */
222 buf
->end_ptr
= &buf
->state
[buf
->rand_deg
];
224 __srandom_r (seed
, buf
);
226 if (buf
->rand_type
== TYPE_0
)
227 buf
->state
[-1] = buf
->rand_type
;
229 buf
->state
[-1] = (MAX_TYPES
* (buf
->rptr
- buf
->state
)) + buf
->rand_type
;
234 weak_alias (__initstate_r
, initstate_r
)
236 /* Restore the state from the given state array.
237 Note: It is important that we also remember the locations of the pointers
238 in the current state information, and restore the locations of the pointers
239 from the old state information. This is done by multiplexing the pointer
240 location into the zeroeth word of the state information. Note that due
241 to the order in which things are done, it is OK to call setstate with the
242 same state as the current state
243 Returns a pointer to the old state information. */
245 __setstate_r (arg_state
, buf
)
247 struct random_data
*buf
;
249 int32_t *new_state
= (int32_t *) arg_state
;
250 int type
= new_state
[0] % MAX_TYPES
;
251 int rear
= new_state
[0] / MAX_TYPES
;
256 if (buf
->rand_type
== TYPE_0
)
257 buf
->state
[-1] = buf
->rand_type
;
259 buf
->state
[-1] = (MAX_TYPES
* (buf
->rptr
- buf
->state
)) + buf
->rand_type
;
268 buf
->rand_type
= type
;
269 buf
->rand_deg
= degrees
[type
];
270 buf
->rand_sep
= seps
[type
];
273 /* State info munged. */
274 __set_errno (EINVAL
);
278 buf
->state
= &new_state
[1];
279 if (buf
->rand_type
!= TYPE_0
)
281 buf
->rptr
= &buf
->state
[rear
];
282 buf
->fptr
= &buf
->state
[(rear
+ buf
->rand_sep
) % buf
->rand_deg
];
284 /* Set end_ptr too. */
285 buf
->end_ptr
= &buf
->state
[buf
->rand_deg
];
290 weak_alias (__setstate_r
, setstate_r
)
292 /* If we are using the trivial TYPE_0 R.N.G., just do the old linear
293 congruential bit. Otherwise, we do our fancy trinomial stuff, which is the
294 same in all ther other cases due to all the global variables that have been
295 set up. The basic operation is to add the number at the rear pointer into
296 the one at the front pointer. Then both pointers are advanced to the next
297 location cyclically in the table. The value returned is the sum generated,
298 reduced to 31 bits by throwing away the "least random" low bit.
299 Note: The code takes advantage of the fact that both the front and
300 rear pointers can't wrap on the same call by not testing the rear
301 pointer if the front one has wrapped. Returns a 31-bit random number. */
304 __random_r (buf
, result
)
305 struct random_data
*buf
;
308 if (buf
== NULL
|| result
== NULL
)
311 if (buf
->rand_type
== TYPE_0
)
313 buf
->state
[0] = ((buf
->state
[0] * 1103515245) + 12345) & 0x7fffffff;
314 *result
= buf
->state
[0];
318 *buf
->fptr
+= *buf
->rptr
;
319 /* Chucking least random bit. */
320 *result
= (*buf
->fptr
>> 1) & 0x7fffffff;
322 if (buf
->fptr
>= buf
->end_ptr
)
324 buf
->fptr
= buf
->state
;
330 if (buf
->rptr
>= buf
->end_ptr
)
331 buf
->rptr
= buf
->state
;
337 weak_alias (__random_r
, random_r
)