2 Copyright (C) 1995, 2005, 2009 Free Software Foundation
4 The GNU C Library is free software; you can redistribute it and/or
5 modify it under the terms of the GNU Lesser General Public
6 License as published by the Free Software Foundation; either
7 version 2.1 of the License, or (at your option) any later version.
9 The GNU C Library is distributed in the hope that it will be useful,
10 but WITHOUT ANY WARRANTY; without even the implied warranty of
11 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
12 Lesser General Public License for more details.
14 You should have received a copy of the GNU Lesser General Public
15 License along with the GNU C Library; if not, write to the Free
16 Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
20 Copyright (C) 1983 Regents of the University of California.
23 Redistribution and use in source and binary forms, with or without
24 modification, are permitted provided that the following conditions
27 1. Redistributions of source code must retain the above copyright
28 notice, this list of conditions and the following disclaimer.
29 2. Redistributions in binary form must reproduce the above copyright
30 notice, this list of conditions and the following disclaimer in the
31 documentation and/or other materials provided with the distribution.
32 4. Neither the name of the University nor the names of its contributors
33 may be used to endorse or promote products derived from this software
34 without specific prior written permission.
36 THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND
37 ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
38 IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
39 ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE
40 FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
41 DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
42 OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
43 HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
44 LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
45 OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
49 * This is derived from the Berkeley source:
50 * @(#)random.c 5.5 (Berkeley) 7/6/88
51 * It was reworked for the GNU C Library by Roland McGrath.
52 * Rewritten to be reentrant by Ulrich Drepper, 1995
61 /* An improved random number generation package. In addition to the standard
62 rand()/srand() like interface, this package also has a special state info
63 interface. The initstate() routine is called with a seed, an array of
64 bytes, and a count of how many bytes are being passed in; this array is
65 then initialized to contain information for random number generation with
66 that much state information. Good sizes for the amount of state
67 information are 32, 64, 128, and 256 bytes. The state can be switched by
68 calling the setstate() function with the same array as was initialized
69 with initstate(). By default, the package runs with 128 bytes of state
70 information and generates far better random numbers than a linear
71 congruential generator. If the amount of state information is less than
72 32 bytes, a simple linear congruential R.N.G. is used. Internally, the
73 state information is treated as an array of longs; the zeroth element of
74 the array is the type of R.N.G. being used (small integer); the remainder
75 of the array is the state information for the R.N.G. Thus, 32 bytes of
76 state information will give 7 longs worth of state information, which will
77 allow a degree seven polynomial. (Note: The zeroth word of state
78 information also has some other information stored in it; see setstate
79 for details). The random number generation technique is a linear feedback
80 shift register approach, employing trinomials (since there are fewer terms
81 to sum up that way). In this approach, the least significant bit of all
82 the numbers in the state table will act as a linear feedback shift register,
83 and will have period 2^deg - 1 (where deg is the degree of the polynomial
84 being used, assuming that the polynomial is irreducible and primitive).
85 The higher order bits will have longer periods, since their values are
86 also influenced by pseudo-random carries out of the lower bits. The
87 total period of the generator is approximately deg*(2**deg - 1); thus
88 doubling the amount of state information has a vast influence on the
89 period of the generator. Note: The deg*(2**deg - 1) is an approximation
90 only good for large deg, when the period of the shift register is the
91 dominant factor. With deg equal to seven, the period is actually much
92 longer than the 7*(2**7 - 1) predicted by this formula. */
96 /* For each of the currently supported random number generators, we have a
97 break value on the amount of state information (you need at least this many
98 bytes of state info to support this random number generator), a degree for
99 the polynomial (actually a trinomial) that the R.N.G. is based on, and
100 separation between the two lower order coefficients of the trinomial. */
102 /* Linear congruential. */
108 /* x**7 + x**3 + 1. */
120 /* x**31 + x**3 + 1. */
133 /* Array versions of the above information to make code run faster.
134 Relies on fact that TYPE_i == i. */
136 #define MAX_TYPES 5 /* Max number of types above. */
138 struct random_poly_info
141 int degrees
[MAX_TYPES
];
144 static const struct random_poly_info random_poly_info
=
146 { SEP_0
, SEP_1
, SEP_2
, SEP_3
, SEP_4
},
147 { DEG_0
, DEG_1
, DEG_2
, DEG_3
, DEG_4
}
153 /* Initialize the random number generator based on the given seed. If the
154 type is the trivial no-state-information type, just remember the seed.
155 Otherwise, initializes state[] based on the given "seed" via a linear
156 congruential generator. Then, the pointers are set to known locations
157 that are exactly rand_sep places apart. Lastly, it cycles the state
158 information a given number of times to get rid of any initial dependencies
159 introduced by the L.C.R.N.G. Note that the initialization of randtbl[]
160 for default usage relies on values produced by this routine. */
162 __srandom_r (seed
, buf
)
164 struct random_data
*buf
;
175 type
= buf
->rand_type
;
176 if ((unsigned int) type
>= MAX_TYPES
)
180 /* We must make sure the seed is not 0. Take arbitrarily 1 in this case. */
190 for (i
= 1; i
< kc
; ++i
)
193 state[i] = (16807 * state[i - 1]) % 2147483647;
194 but avoids overflowing 31 bits. */
195 long int hi
= word
/ 127773;
196 long int lo
= word
% 127773;
197 word
= 16807 * lo
- 2836 * hi
;
203 buf
->fptr
= &state
[buf
->rand_sep
];
204 buf
->rptr
= &state
[0];
209 (void) __random_r (buf
, &discard
);
219 weak_alias (__srandom_r
, srandom_r
)
221 /* Initialize the state information in the given array of N bytes for
222 future random number generation. Based on the number of bytes we
223 are given, and the break values for the different R.N.G.'s, we choose
224 the best (largest) one we can and set things up for it. srandom is
225 then called to initialize the state information. Note that on return
226 from srandom, we set state[-1] to be the type multiplexed with the current
227 value of the rear pointer; this is so successive calls to initstate won't
228 lose this information and will be able to restart with setstate.
229 Note: The first thing we do is save the current state, if any, just like
230 setstate so that it doesn't matter when initstate is called.
231 Returns a pointer to the old state. */
233 __initstate_r (seed
, arg_state
, n
, buf
)
237 struct random_data
*buf
;
242 int32_t *old_state
= buf
->state
;
243 if (old_state
!= NULL
)
245 int old_type
= buf
->rand_type
;
246 if (old_type
== TYPE_0
)
247 old_state
[-1] = TYPE_0
;
249 old_state
[-1] = (MAX_TYPES
* (buf
->rptr
- old_state
)) + old_type
;
254 type
= n
< BREAK_4
? TYPE_3
: TYPE_4
;
255 else if (n
< BREAK_1
)
259 __set_errno (EINVAL
);
265 type
= n
< BREAK_2
? TYPE_1
: TYPE_2
;
267 int degree
= random_poly_info
.degrees
[type
];
268 int separation
= random_poly_info
.seps
[type
];
270 buf
->rand_type
= type
;
271 buf
->rand_sep
= separation
;
272 buf
->rand_deg
= degree
;
273 int32_t *state
= &((int32_t *) arg_state
)[1]; /* First location. */
274 /* Must set END_PTR before srandom. */
275 buf
->end_ptr
= &state
[degree
];
279 __srandom_r (seed
, buf
);
283 state
[-1] = (buf
->rptr
- state
) * MAX_TYPES
+ type
;
288 __set_errno (EINVAL
);
292 weak_alias (__initstate_r
, initstate_r
)
294 /* Restore the state from the given state array.
295 Note: It is important that we also remember the locations of the pointers
296 in the current state information, and restore the locations of the pointers
297 from the old state information. This is done by multiplexing the pointer
298 location into the zeroth word of the state information. Note that due
299 to the order in which things are done, it is OK to call setstate with the
300 same state as the current state
301 Returns a pointer to the old state information. */
303 __setstate_r (arg_state
, buf
)
305 struct random_data
*buf
;
307 int32_t *new_state
= 1 + (int32_t *) arg_state
;
314 if (arg_state
== NULL
|| buf
== NULL
)
317 old_type
= buf
->rand_type
;
318 old_state
= buf
->state
;
319 if (old_type
== TYPE_0
)
320 old_state
[-1] = TYPE_0
;
322 old_state
[-1] = (MAX_TYPES
* (buf
->rptr
- old_state
)) + old_type
;
324 type
= new_state
[-1] % MAX_TYPES
;
325 if (type
< TYPE_0
|| type
> TYPE_4
)
328 buf
->rand_deg
= degree
= random_poly_info
.degrees
[type
];
329 buf
->rand_sep
= separation
= random_poly_info
.seps
[type
];
330 buf
->rand_type
= type
;
334 int rear
= new_state
[-1] / MAX_TYPES
;
335 buf
->rptr
= &new_state
[rear
];
336 buf
->fptr
= &new_state
[(rear
+ separation
) % degree
];
338 buf
->state
= new_state
;
339 /* Set end_ptr too. */
340 buf
->end_ptr
= &new_state
[degree
];
345 __set_errno (EINVAL
);
349 weak_alias (__setstate_r
, setstate_r
)
351 /* If we are using the trivial TYPE_0 R.N.G., just do the old linear
352 congruential bit. Otherwise, we do our fancy trinomial stuff, which is the
353 same in all the other cases due to all the global variables that have been
354 set up. The basic operation is to add the number at the rear pointer into
355 the one at the front pointer. Then both pointers are advanced to the next
356 location cyclically in the table. The value returned is the sum generated,
357 reduced to 31 bits by throwing away the "least random" low bit.
358 Note: The code takes advantage of the fact that both the front and
359 rear pointers can't wrap on the same call by not testing the rear
360 pointer if the front one has wrapped. Returns a 31-bit random number. */
363 __random_r (buf
, result
)
364 struct random_data
*buf
;
369 if (buf
== NULL
|| result
== NULL
)
374 if (buf
->rand_type
== TYPE_0
)
376 int32_t val
= state
[0];
377 val
= ((state
[0] * 1103515245) + 12345) & 0x7fffffff;
383 int32_t *fptr
= buf
->fptr
;
384 int32_t *rptr
= buf
->rptr
;
385 int32_t *end_ptr
= buf
->end_ptr
;
388 val
= *fptr
+= *rptr
;
389 /* Chucking least random bit. */
390 *result
= (val
>> 1) & 0x7fffffff;
409 __set_errno (EINVAL
);
413 weak_alias (__random_r
, random_r
)