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-rw-r--r--lib/libc/gen/arc4random_uniform.c71
1 files changed, 31 insertions, 40 deletions
diff --git a/lib/libc/gen/arc4random_uniform.c b/lib/libc/gen/arc4random_uniform.c
index 06cd29c6dbe4..23455e545899 100644
--- a/lib/libc/gen/arc4random_uniform.c
+++ b/lib/libc/gen/arc4random_uniform.c
@@ -1,56 +1,47 @@
-/* $OpenBSD: arc4random_uniform.c,v 1.3 2019/01/20 02:59:07 bcook Exp $ */
-
-/*
- * Copyright (c) 2008, Damien Miller <djm@openbsd.org>
+/*-
+ * SPDX-License-Identifier: 0BSD
*
- * Permission to use, copy, modify, and distribute this software for any
- * purpose with or without fee is hereby granted, provided that the above
- * copyright notice and this permission notice appear in all copies.
+ * Copyright (c) Robert Clausecker <fuz@FreeBSD.org>
+ * Based on a publication by Daniel Lemire.
+ * Public domain where applicable.
*
- * THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
- * WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
- * MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
- * ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
- * WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
- * ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
- * OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+ * Daniel Lemire, "Fast Random Integer Generation in an Interval",
+ * Association for Computing Machinery, ACM Trans. Model. Comput. Simul.,
+ * no. 1, vol. 29, pp. 1--12, New York, NY, USA, January 2019.
*/
#include <stdint.h>
#include <stdlib.h>
-/*
- * Calculate a uniformly distributed random number less than upper_bound
- * avoiding "modulo bias".
- *
- * Uniformity is achieved by generating new random numbers until the one
- * returned is outside the range [0, 2**32 % upper_bound). This
- * guarantees the selected random number will be inside
- * [2**32 % upper_bound, 2**32) which maps back to [0, upper_bound)
- * after reduction modulo upper_bound.
- */
uint32_t
arc4random_uniform(uint32_t upper_bound)
{
- uint32_t r, min;
-
- if (upper_bound < 2)
- return 0;
-
- /* 2**32 % x == (2**32 - x) % x */
- min = -upper_bound % upper_bound;
+ uint64_t product;
/*
- * This could theoretically loop forever but each retry has
- * p > 0.5 (worst case, usually far better) of selecting a
- * number inside the range we need, so it should rarely need
- * to re-roll.
+ * The paper uses these variable names:
+ *
+ * L -- log2(UINT32_MAX+1)
+ * s -- upper_bound
+ * x -- arc4random() return value
+ * m -- product
+ * l -- (uint32_t)product
+ * t -- threshold
*/
- for (;;) {
- r = arc4random();
- if (r >= min)
- break;
+
+ if (upper_bound <= 1)
+ return (0);
+
+ product = upper_bound * (uint64_t)arc4random();
+
+ if ((uint32_t)product < upper_bound) {
+ uint32_t threshold;
+
+ /* threshold = (2**32 - upper_bound) % upper_bound */
+ threshold = -upper_bound % upper_bound;
+ while ((uint32_t)product < threshold)
+ product = upper_bound * (uint64_t)arc4random();
}
- return r % upper_bound;
+ return (product >> 32);
}