mirror of
https://github.com/jart/cosmopolitan.git
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aeeb851422
- Abort if .init.lua fails - Refactor redbean to use new append library - Use first certificate if SNI routing fails - Use function/data sections when building Lua - Don't use self-signed auto-generated cert for client - Add -D staging dirs to redbean lua module default path
260 lines
8.6 KiB
C
260 lines
8.6 KiB
C
/*-*- mode:c;indent-tabs-mode:nil;c-basic-offset:2;tab-width:8;coding:utf-8 -*-│
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│vi: set net ft=c ts=2 sts=2 sw=2 fenc=utf-8 :vi│
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╞══════════════════════════════════════════════════════════════════════════════╡
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│ Copyright 2021 Justine Alexandra Roberts Tunney │
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│ │
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│ Permission to use, copy, modify, and/or distribute this software for │
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│ any purpose with or without fee is hereby granted, provided that the │
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│ above copyright notice and this permission notice appear in all copies. │
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│ │
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│ THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL │
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│ WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED │
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│ WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE │
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│ AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL │
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│ DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR │
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│ PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER │
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│ TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR │
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│ PERFORMANCE OF THIS SOFTWARE. │
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╚─────────────────────────────────────────────────────────────────────────────*/
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#include "libc/bits/bits.h"
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#include "libc/log/check.h"
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#include "libc/math.h"
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#include "libc/nexgen32e/x86feature.h"
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#include "libc/rand/lcg.internal.h"
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#include "libc/rand/rand.h"
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#include "libc/runtime/runtime.h"
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#include "libc/stdio/stdio.h"
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#include "libc/sysv/consts/grnd.h"
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#include "libc/testlib/ezbench.h"
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#include "libc/testlib/hyperion.h"
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#include "libc/testlib/testlib.h"
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/* JustReturnZero */
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/* entropy: 0 */
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/* chi-square: 2.55e+07 */
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/* chi-square percent: 0 */
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/* mean: 0 */
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/* monte-carlo-pi: 27.324 */
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/* serial-correlation: -100000 */
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/* JustIncrement */
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/* entropy: 2.63951 */
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/* chi-square: 1.443e+07 */
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/* chi-square percent: 0 */
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/* mean: 18.8803 */
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/* monte-carlo-pi: 27.324 */
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/* serial-correlation: 0.0092003 */
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/* UNIX Sixth Edition */
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/* entropy: 8 */
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/* chi-square: 0.1536 */
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/* chi-square percent: 1 */
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/* mean: 127.502 */
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/* monte-carlo-pi: 3.4192 */
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/* serial-correlation: -0.470645 */
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/* UNIX Seventh Edition */
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/* entropy: 7.99818 */
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/* chi-square: 251.843 */
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/* chi-square percent: 0.544128 */
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/* mean: 127.955 */
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/* monte-carlo-pi: 0.675703 */
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/* serial-correlation: -0.00207669 */
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/* KnuthLcg */
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/* entropy: 7.99835 */
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/* chi-square: 228.383 */
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/* chi-square percent: 0.883476 */
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/* mean: 127.1 */
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/* monte-carlo-pi: 0.561935 */
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/* serial-correlation: -0.0038954 */
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/* rand64 */
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/* entropy: 7.99832 */
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/* chi-square: 233.267 */
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/* chi-square percent: 0.831821 */
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/* mean: 127.427 */
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/* monte-carlo-pi: 0.0271532 */
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/* serial-correlation: -0.00255319 */
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/* Rand64LowByte */
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/* entropy: 7.99798 */
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/* chi-square: 278.344 */
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/* chi-square percent: 0.150796 */
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/* mean: 127.88 */
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/* monte-carlo-pi: 0.00340573 */
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/* serial-correlation: 0.00162231 */
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/* GetRandomNoSystem */
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/* entropy: 7.99819 */
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/* chi-square: 249.743 */
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/* chi-square percent: 0.58114 */
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/* mean: 127.124 */
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/* monte-carlo-pi: 0.293716 */
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/* serial-correlation: 0.00198516 */
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/* GetRandomNoRdrrnd */
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/* entropy: 7.99816 */
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/* chi-square: 254.797 */
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/* chi-square percent: 0.491811 */
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/* mean: 127.308 */
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/* monte-carlo-pi: 0.0118738 */
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/* serial-correlation: 0.000197669 */
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/* GetRandom */
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/* entropy: 7.99808 */
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/* chi-square: 266.737 */
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/* chi-square percent: 0.294131 */
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/* mean: 127.178 */
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/* monte-carlo-pi: 0.0577122 */
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/* serial-correlation: 0.00598793 */
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typedef uint64_t (*random_f)(void);
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static uint32_t randx = 1;
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uint64_t JustReturnZero(void) {
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return 0;
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}
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uint64_t JustIncrement(void) {
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static uint64_t x;
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return x++;
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}
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uint16_t SixthEditionRand(void) {
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static int16_t gorp;
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gorp = (gorp + 625) & 077777;
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return gorp;
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}
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uint64_t SixthEditionLowByte(void) {
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unsigned i;
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uint64_t x;
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for (x = i = 0; i < 8; ++i) {
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x <<= 8;
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x |= SixthEditionRand() & 255;
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}
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return x;
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}
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uint64_t MobyDick(void) {
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static int i;
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if ((i += 8) > kMobySize) i = 8;
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return READ64LE(kMoby + i);
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}
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uint64_t ExecutableImage(void) {
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static int i;
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if ((i += 8) > _end - _base) i = 8;
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return READ64LE(_base + i);
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}
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uint32_t SeventhEditionRand(void) {
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return ((randx = randx * 1103515245 + 12345) >> 16) & 077777;
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}
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uint64_t SeventhEditionLowByte(void) {
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unsigned i;
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uint64_t x;
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for (x = i = 0; i < 8; ++i) {
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x <<= 8;
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x |= SeventhEditionRand() & 255;
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}
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return x;
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}
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uint64_t KnuthLcg(void) {
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unsigned i;
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uint64_t x;
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for (x = i = 0; i < 8; ++i) {
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x <<= 8;
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x |= rand() & 255;
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}
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return x;
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}
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uint64_t Rand64LowByte(void) {
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unsigned i;
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uint64_t x;
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for (x = i = 0; i < 8; ++i) {
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x <<= 8;
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x |= rand64() & 255;
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}
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return x;
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}
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uint64_t GetRandomNoRdrrnd(void) {
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uint64_t x;
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ASSERT_EQ(8, getrandom(&x, 8, GRND_NORDRND));
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return x;
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}
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uint64_t GetRandomNoSystem(void) {
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uint64_t x;
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if (X86_HAVE(RDRND) || X86_HAVE(RDSEED)) {
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ASSERT_EQ(8, getrandom(&x, 8, GRND_NOSYSTEM));
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} else {
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ASSERT_EQ(8, getrandom(&x, 8, 0));
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}
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return x;
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}
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uint64_t GetRandom(void) {
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uint64_t x;
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ASSERT_EQ(8, getrandom(&x, 8, 0));
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return x;
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}
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static const struct RandomFunction {
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const char *s;
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random_f f;
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bool r;
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} kRandomFunctions[] = {
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{"JustReturnZero", JustReturnZero, false}, //
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{"JustIncrement", JustIncrement, false}, //
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{"MobyDick", MobyDick, false}, //
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{"ExecutableImage", ExecutableImage, false}, //
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{"SixthEditionLowByte", SixthEditionLowByte, false}, //
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{"SeventhEditionLowByte", SeventhEditionLowByte, false}, //
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{"KnuthLcg", KnuthLcg, false}, //
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{"rand64", rand64, true}, //
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{"Rand64LowByte", Rand64LowByte, true}, //
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{"GetRandomNoRdrrnd", GetRandomNoRdrrnd, true}, //
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{"GetRandomNoSystem", GetRandomNoSystem, true}, //
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{"GetRandom", GetRandom, true}, //
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};
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TEST(getrandom, sanityTest) {
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uint64_t q;
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size_t i, j, k;
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double montepi, chip, scc, mean, chisq, ent;
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for (k = 0; k < 1; ++k) {
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for (j = 0; j < ARRAYLEN(kRandomFunctions); ++j) {
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rt_init(0);
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for (i = 0; i + 8 <= 100000; i += 8) {
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q = kRandomFunctions[j].f();
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rt_add(&q, 8);
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}
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rt_end(&ent, &chisq, &mean, &montepi, &scc);
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chip = pochisq(chisq, 255);
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#if 0
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fprintf(stderr, "\n");
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fprintf(stderr, "/* %-32s */\n", kRandomFunctions[j].s);
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fprintf(stderr, "/* entropy: %-12g */\n", ent);
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fprintf(stderr, "/* chi-square: %-12g */\n", chisq);
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fprintf(stderr, "/* chi-square percent: %-12g */\n", chip);
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fprintf(stderr, "/* mean: %-12g */\n", mean);
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fprintf(stderr, "/* monte-carlo-pi: %-12g */\n",
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100 * fabs(M_PI - montepi) / M_PI);
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fprintf(stderr, "/* serial-correlation: %-12g */\n", scc);
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#endif
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if (kRandomFunctions[j].r) {
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CHECK_GE(chisq, 180, "%s", kRandomFunctions[j].s);
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CHECK_GE(ent * 10, 78, "%s", kRandomFunctions[j].s);
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CHECK_LT(fabs(scc) * 100, 5, "%s", kRandomFunctions[j].s);
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CHECK_LT(fabs(128 - mean), 3, "%s", kRandomFunctions[j].s);
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}
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}
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}
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}
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