random_r.c 13 KB

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  1. /*
  2. Copyright (C) 1995-2019 Free Software Foundation, Inc.
  3. The GNU C Library is free software; you can redistribute it and/or
  4. modify it under the terms of the GNU Lesser General Public
  5. License as published by the Free Software Foundation; either
  6. version 2.1 of the License, or (at your option) any later version.
  7. The GNU C Library is distributed in the hope that it will be useful,
  8. but WITHOUT ANY WARRANTY; without even the implied warranty of
  9. MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  10. Lesser General Public License for more details.
  11. You should have received a copy of the GNU Lesser General Public
  12. License along with the GNU C Library; if not, see
  13. <http://www.gnu.org/licenses/>. */
  14. /*
  15. Copyright (C) 1983 Regents of the University of California.
  16. All rights reserved.
  17. Redistribution and use in source and binary forms, with or without
  18. modification, are permitted provided that the following conditions
  19. are met:
  20. 1. Redistributions of source code must retain the above copyright
  21. notice, this list of conditions and the following disclaimer.
  22. 2. Redistributions in binary form must reproduce the above copyright
  23. notice, this list of conditions and the following disclaimer in the
  24. documentation and/or other materials provided with the distribution.
  25. 4. Neither the name of the University nor the names of its contributors
  26. may be used to endorse or promote products derived from this software
  27. without specific prior written permission.
  28. THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND
  29. ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
  30. IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
  31. ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE
  32. FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
  33. DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
  34. OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
  35. HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
  36. LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
  37. OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
  38. SUCH DAMAGE.*/
  39. /*
  40. * This is derived from the Berkeley source:
  41. * @(#)random.c 5.5 (Berkeley) 7/6/88
  42. * It was reworked for the GNU C Library by Roland McGrath.
  43. * Rewritten to be reentrant by Ulrich Drepper, 1995
  44. */
  45. #include <errno.h>
  46. #include <limits.h>
  47. #include <stddef.h>
  48. #include <stdlib.h>
  49. /* An improved random number generation package. In addition to the standard
  50. rand()/srand() like interface, this package also has a special state info
  51. interface. The initstate() routine is called with a seed, an array of
  52. bytes, and a count of how many bytes are being passed in; this array is
  53. then initialized to contain information for random number generation with
  54. that much state information. Good sizes for the amount of state
  55. information are 32, 64, 128, and 256 bytes. The state can be switched by
  56. calling the setstate() function with the same array as was initialized
  57. with initstate(). By default, the package runs with 128 bytes of state
  58. information and generates far better random numbers than a linear
  59. congruential generator. If the amount of state information is less than
  60. 32 bytes, a simple linear congruential R.N.G. is used. Internally, the
  61. state information is treated as an array of longs; the zeroth element of
  62. the array is the type of R.N.G. being used (small integer); the remainder
  63. of the array is the state information for the R.N.G. Thus, 32 bytes of
  64. state information will give 7 longs worth of state information, which will
  65. allow a degree seven polynomial. (Note: The zeroth word of state
  66. information also has some other information stored in it; see setstate
  67. for details). The random number generation technique is a linear feedback
  68. shift register approach, employing trinomials (since there are fewer terms
  69. to sum up that way). In this approach, the least significant bit of all
  70. the numbers in the state table will act as a linear feedback shift register,
  71. and will have period 2^deg - 1 (where deg is the degree of the polynomial
  72. being used, assuming that the polynomial is irreducible and primitive).
  73. The higher order bits will have longer periods, since their values are
  74. also influenced by pseudo-random carries out of the lower bits. The
  75. total period of the generator is approximately deg*(2**deg - 1); thus
  76. doubling the amount of state information has a vast influence on the
  77. period of the generator. Note: The deg*(2**deg - 1) is an approximation
  78. only good for large deg, when the period of the shift register is the
  79. dominant factor. With deg equal to seven, the period is actually much
  80. longer than the 7*(2**7 - 1) predicted by this formula. */
  81. /* For each of the currently supported random number generators, we have a
  82. break value on the amount of state information (you need at least this many
  83. bytes of state info to support this random number generator), a degree for
  84. the polynomial (actually a trinomial) that the R.N.G. is based on, and
  85. separation between the two lower order coefficients of the trinomial. */
  86. /* Linear congruential. */
  87. #define TYPE_0 0
  88. #define BREAK_0 8
  89. #define DEG_0 0
  90. #define SEP_0 0
  91. /* x**7 + x**3 + 1. */
  92. #define TYPE_1 1
  93. #define BREAK_1 32
  94. #define DEG_1 7
  95. #define SEP_1 3
  96. /* x**15 + x + 1. */
  97. #define TYPE_2 2
  98. #define BREAK_2 64
  99. #define DEG_2 15
  100. #define SEP_2 1
  101. /* x**31 + x**3 + 1. */
  102. #define TYPE_3 3
  103. #define BREAK_3 128
  104. #define DEG_3 31
  105. #define SEP_3 3
  106. /* x**63 + x + 1. */
  107. #define TYPE_4 4
  108. #define BREAK_4 256
  109. #define DEG_4 63
  110. #define SEP_4 1
  111. /* Array versions of the above information to make code run faster.
  112. Relies on fact that TYPE_i == i. */
  113. #define MAX_TYPES 5 /* Max number of types above. */
  114. struct random_poly_info
  115. {
  116. int seps[MAX_TYPES];
  117. int degrees[MAX_TYPES];
  118. };
  119. static const struct random_poly_info random_poly_info =
  120. {
  121. { SEP_0, SEP_1, SEP_2, SEP_3, SEP_4 },
  122. { DEG_0, DEG_1, DEG_2, DEG_3, DEG_4 }
  123. };
  124. /* Initialize the random number generator based on the given seed. If the
  125. type is the trivial no-state-information type, just remember the seed.
  126. Otherwise, initializes state[] based on the given "seed" via a linear
  127. congruential generator. Then, the pointers are set to known locations
  128. that are exactly rand_sep places apart. Lastly, it cycles the state
  129. information a given number of times to get rid of any initial dependencies
  130. introduced by the L.C.R.N.G. Note that the initialization of randtbl[]
  131. for default usage relies on values produced by this routine. */
  132. int
  133. __srandom_r (unsigned int seed, struct random_data *buf)
  134. {
  135. int type;
  136. int32_t *state;
  137. long int i;
  138. int32_t word;
  139. int32_t *dst;
  140. int kc;
  141. if (buf == NULL)
  142. goto fail;
  143. type = buf->rand_type;
  144. if ((unsigned int) type >= MAX_TYPES)
  145. goto fail;
  146. state = buf->state;
  147. /* We must make sure the seed is not 0. Take arbitrarily 1 in this case. */
  148. if (seed == 0)
  149. seed = 1;
  150. state[0] = seed;
  151. if (type == TYPE_0)
  152. goto done;
  153. dst = state;
  154. word = seed;
  155. kc = buf->rand_deg;
  156. for (i = 1; i < kc; ++i)
  157. {
  158. /* This does:
  159. state[i] = (16807 * state[i - 1]) % 2147483647;
  160. but avoids overflowing 31 bits. */
  161. long int hi = word / 127773;
  162. long int lo = word % 127773;
  163. word = 16807 * lo - 2836 * hi;
  164. if (word < 0)
  165. word += 2147483647;
  166. *++dst = word;
  167. }
  168. buf->fptr = &state[buf->rand_sep];
  169. buf->rptr = &state[0];
  170. kc *= 10;
  171. while (--kc >= 0)
  172. {
  173. int32_t discard;
  174. (void) __random_r (buf, &discard);
  175. }
  176. done:
  177. return 0;
  178. fail:
  179. return -1;
  180. }
  181. weak_alias (__srandom_r, srandom_r)
  182. /* Initialize the state information in the given array of N bytes for
  183. future random number generation. Based on the number of bytes we
  184. are given, and the break values for the different R.N.G.'s, we choose
  185. the best (largest) one we can and set things up for it. srandom is
  186. then called to initialize the state information. Note that on return
  187. from srandom, we set state[-1] to be the type multiplexed with the current
  188. value of the rear pointer; this is so successive calls to initstate won't
  189. lose this information and will be able to restart with setstate.
  190. Note: The first thing we do is save the current state, if any, just like
  191. setstate so that it doesn't matter when initstate is called.
  192. Returns 0 on success, non-zero on failure. */
  193. int
  194. __initstate_r (unsigned int seed, char *arg_state, size_t n,
  195. struct random_data *buf)
  196. {
  197. if (buf == NULL)
  198. goto fail;
  199. int32_t *old_state = buf->state;
  200. if (old_state != NULL)
  201. {
  202. int old_type = buf->rand_type;
  203. if (old_type == TYPE_0)
  204. old_state[-1] = TYPE_0;
  205. else
  206. old_state[-1] = (MAX_TYPES * (buf->rptr - old_state)) + old_type;
  207. }
  208. int type;
  209. if (n >= BREAK_3)
  210. type = n < BREAK_4 ? TYPE_3 : TYPE_4;
  211. else if (n < BREAK_1)
  212. {
  213. if (n < BREAK_0)
  214. goto fail;
  215. type = TYPE_0;
  216. }
  217. else
  218. type = n < BREAK_2 ? TYPE_1 : TYPE_2;
  219. int degree = random_poly_info.degrees[type];
  220. int separation = random_poly_info.seps[type];
  221. buf->rand_type = type;
  222. buf->rand_sep = separation;
  223. buf->rand_deg = degree;
  224. int32_t *state = &((int32_t *) arg_state)[1]; /* First location. */
  225. /* Must set END_PTR before srandom. */
  226. buf->end_ptr = &state[degree];
  227. buf->state = state;
  228. __srandom_r (seed, buf);
  229. state[-1] = TYPE_0;
  230. if (type != TYPE_0)
  231. state[-1] = (buf->rptr - state) * MAX_TYPES + type;
  232. return 0;
  233. fail:
  234. __set_errno (EINVAL);
  235. return -1;
  236. }
  237. weak_alias (__initstate_r, initstate_r)
  238. /* Restore the state from the given state array.
  239. Note: It is important that we also remember the locations of the pointers
  240. in the current state information, and restore the locations of the pointers
  241. from the old state information. This is done by multiplexing the pointer
  242. location into the zeroth word of the state information. Note that due
  243. to the order in which things are done, it is OK to call setstate with the
  244. same state as the current state
  245. Returns 0 on success, non-zero on failure. */
  246. int
  247. __setstate_r (char *arg_state, struct random_data *buf)
  248. {
  249. int32_t *new_state = 1 + (int32_t *) arg_state;
  250. int type;
  251. int old_type;
  252. int32_t *old_state;
  253. int degree;
  254. int separation;
  255. if (arg_state == NULL || buf == NULL)
  256. goto fail;
  257. old_type = buf->rand_type;
  258. old_state = buf->state;
  259. if (old_type == TYPE_0)
  260. old_state[-1] = TYPE_0;
  261. else
  262. old_state[-1] = (MAX_TYPES * (buf->rptr - old_state)) + old_type;
  263. type = new_state[-1] % MAX_TYPES;
  264. if (type < TYPE_0 || type > TYPE_4)
  265. goto fail;
  266. buf->rand_deg = degree = random_poly_info.degrees[type];
  267. buf->rand_sep = separation = random_poly_info.seps[type];
  268. buf->rand_type = type;
  269. if (type != TYPE_0)
  270. {
  271. int rear = new_state[-1] / MAX_TYPES;
  272. buf->rptr = &new_state[rear];
  273. buf->fptr = &new_state[(rear + separation) % degree];
  274. }
  275. buf->state = new_state;
  276. /* Set end_ptr too. */
  277. buf->end_ptr = &new_state[degree];
  278. return 0;
  279. fail:
  280. __set_errno (EINVAL);
  281. return -1;
  282. }
  283. weak_alias (__setstate_r, setstate_r)
  284. /* If we are using the trivial TYPE_0 R.N.G., just do the old linear
  285. congruential bit. Otherwise, we do our fancy trinomial stuff, which is the
  286. same in all the other cases due to all the global variables that have been
  287. set up. The basic operation is to add the number at the rear pointer into
  288. the one at the front pointer. Then both pointers are advanced to the next
  289. location cyclically in the table. The value returned is the sum generated,
  290. reduced to 31 bits by throwing away the "least random" low bit.
  291. Note: The code takes advantage of the fact that both the front and
  292. rear pointers can't wrap on the same call by not testing the rear
  293. pointer if the front one has wrapped. Returns a 31-bit random number. */
  294. int
  295. __random_r (struct random_data *buf, int32_t *result)
  296. {
  297. int32_t *state;
  298. if (buf == NULL || result == NULL)
  299. goto fail;
  300. state = buf->state;
  301. if (buf->rand_type == TYPE_0)
  302. {
  303. int32_t val = ((state[0] * 1103515245U) + 12345U) & 0x7fffffff;
  304. state[0] = val;
  305. *result = val;
  306. }
  307. else
  308. {
  309. int32_t *fptr = buf->fptr;
  310. int32_t *rptr = buf->rptr;
  311. int32_t *end_ptr = buf->end_ptr;
  312. uint32_t val;
  313. val = *fptr += (uint32_t) *rptr;
  314. /* Chucking least random bit. */
  315. *result = val >> 1;
  316. ++fptr;
  317. if (fptr >= end_ptr)
  318. {
  319. fptr = state;
  320. ++rptr;
  321. }
  322. else
  323. {
  324. ++rptr;
  325. if (rptr >= end_ptr)
  326. rptr = state;
  327. }
  328. buf->fptr = fptr;
  329. buf->rptr = rptr;
  330. }
  331. return 0;
  332. fail:
  333. __set_errno (EINVAL);
  334. return -1;
  335. }
  336. weak_alias (__random_r, random_r)