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The implementation is based on scalar Chacha20 with per-thread cache. It uses getrandom or /dev/urandom as fallback to get the initial entropy, and reseeds the internal state on every 16MB of consumed buffer. To improve performance and lower memory consumption the per-thread cache is allocated lazily on first arc4random functions call, and if the memory allocation fails getentropy or /dev/urandom is used as fallback. The cache is also cleared on thread exit iff it was initialized (so if arc4random is not called it is not touched). Although it is lock-free, arc4random is still not async-signal-safe (the per thread state is not updated atomically). The ChaCha20 implementation is based on RFC8439 [1], omitting the final XOR of the keystream with the plaintext because the plaintext is a stream of zeros. This strategy is similar to what OpenBSD arc4random does. The arc4random_uniform is based on previous work by Florian Weimer, where the algorithm is based on Jérémie Lumbroso paper Optimal Discrete Uniform Generation from Coin Flips, and Applications (2013) [2], who credits Donald E. Knuth and Andrew C. Yao, The complexity of nonuniform random number generation (1976), for solving the general case. The main advantage of this method is the that the unit of randomness is not the uniform random variable (uint32_t), but a random bit. It optimizes the internal buffer sampling by initially consuming a 32-bit random variable and then sampling byte per byte. Depending of the upper bound requested, it might lead to better CPU utilization. Checked on x86_64-linux-gnu, aarch64-linux, and powerpc64le-linux-gnu. Co-authored-by: Florian Weimer <fweimer@redhat.com> Reviewed-by: Yann Droneaud <ydroneaud@opteya.com> [1] https://datatracker.ietf.org/doc/html/rfc8439 [2] https://arxiv.org/pdf/1304.1916.pdf
141 lines
4.2 KiB
C
141 lines
4.2 KiB
C
/* Random pseudo generator number which returns a single 32 bit value
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uniformly distributed but with an upper_bound.
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Copyright (C) 2022 Free Software Foundation, Inc.
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This file is part of the GNU C Library.
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The GNU C Library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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The GNU C Library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with the GNU C Library; if not, see
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<https://www.gnu.org/licenses/>. */
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#include <endian.h>
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#include <libc-lock.h>
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#include <stdlib.h>
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#include <sys/param.h>
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/* Return the number of bytes which cover values up to the limit. */
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__attribute__ ((const))
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static uint32_t
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byte_count (uint32_t n)
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{
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if (n < (1U << 8))
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return 1;
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else if (n < (1U << 16))
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return 2;
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else if (n < (1U << 24))
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return 3;
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else
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return 4;
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}
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/* Fill the lower bits of the result with randomness, according to the
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number of bytes requested. */
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static void
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random_bytes (uint32_t *result, uint32_t byte_count)
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{
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*result = 0;
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unsigned char *ptr = (unsigned char *) result;
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if (__BYTE_ORDER == __BIG_ENDIAN)
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ptr += 4 - byte_count;
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__arc4random_buf (ptr, byte_count);
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}
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uint32_t
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__arc4random_uniform (uint32_t n)
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{
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if (n <= 1)
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/* There is no valid return value for a zero limit, and 0 is the
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only possible result for limit 1. */
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return 0;
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/* The bits variable serves as a source for bits. Prefetch the
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minimum number of bytes needed. */
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uint32_t count = byte_count (n);
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uint32_t bits_length = count * CHAR_BIT;
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uint32_t bits;
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random_bytes (&bits, count);
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/* Powers of two are easy. */
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if (powerof2 (n))
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return bits & (n - 1);
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/* The general case. This algorithm follows Jérémie Lumbroso,
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Optimal Discrete Uniform Generation from Coin Flips, and
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Applications (2013), who credits Donald E. Knuth and Andrew
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C. Yao, The complexity of nonuniform random number generation
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(1976), for solving the general case.
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The implementation below unrolls the initialization stage of the
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loop, where v is less than n. */
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/* Use 64-bit variables even though the intermediate results are
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never larger than 33 bits. This ensures the code is easier to
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compile on 64-bit architectures. */
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uint64_t v;
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uint64_t c;
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/* Initialize v and c. v is the smallest power of 2 which is larger
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than n.*/
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{
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uint32_t log2p1 = 32 - __builtin_clz (n);
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v = 1ULL << log2p1;
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c = bits & (v - 1);
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bits >>= log2p1;
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bits_length -= log2p1;
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}
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/* At the start of the loop, c is uniformly distributed within the
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half-open interval [0, v), and v < 2n < 2**33. */
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while (true)
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{
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if (v >= n)
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{
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/* If the candidate is less than n, accept it. */
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if (c < n)
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/* c is uniformly distributed on [0, n). */
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return c;
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else
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{
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/* c is uniformly distributed on [n, v). */
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v -= n;
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c -= n;
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/* The distribution was shifted, so c is uniformly
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distributed on [0, v) again. */
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}
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}
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/* v < n here. */
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/* Replenish the bit source if necessary. */
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if (bits_length == 0)
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{
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/* Overwrite the least significant byte. */
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random_bytes (&bits, 1);
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bits_length = CHAR_BIT;
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}
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/* Double the range. No overflow because v < n < 2**32. */
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v *= 2;
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/* v < 2n here. */
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/* Extract a bit and append it to c. c remains less than v and
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thus 2**33. */
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c = (c << 1) | (bits & 1);
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bits >>= 1;
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--bits_length;
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/* At this point, c is uniformly distributed on [0, v) again,
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and v < 2n < 2**33. */
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}
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}
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libc_hidden_def (__arc4random_uniform)
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weak_alias (__arc4random_uniform, arc4random_uniform)
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