1 files changed, 0 insertions, 197 deletions
diff --git a/include/stc/crandom.h b/include/stc/crandom.h
deleted file mode 100644
index a9374602..00000000
--- a/include/stc/crandom.h
+++ /dev/null
@@ -1,197 +0,0 @@
-/* MIT License
- *
- * Copyright (c) 2023 Tyge Løvset
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "ccommon.h"
-
-#ifndef CRANDOM_H_INCLUDED
-#define CRANDOM_H_INCLUDED
-/*
-// crandom: Pseudo-random number generator
-#include "stc/crandom.h"
-int main() {
-    uint64_t seed = 123456789;
-    stc64_t rng = stc64_new(seed);
-    stc64_uniform_t dist1 = stc64_uniform_new(1, 6);
-    stc64_uniformf_t dist2 = stc64_uniformf_new(1.0, 10.0);
-    stc64_normalf_t dist3 = stc64_normalf_new(1.0, 10.0);
-
-    uint64_t i = stc64_rand(&rng);
-    int64_t iu = stc64_uniform(&rng, &dist1);
-    double xu = stc64_uniformf(&rng, &dist2);
-    double xn = stc64_normalf(&rng, &dist3);
-}
-*/
-#include <string.h>
-#include <math.h>
-
-typedef struct stc64 { uint64_t state[5]; } stc64_t;
-typedef struct stc64_uniform { int64_t lower; uint64_t range, threshold; } stc64_uniform_t;
-typedef struct stc64_uniformf { double lower, range; } stc64_uniformf_t;
-typedef struct stc64_normalf { double mean, stddev, next; int has_next; } stc64_normalf_t;
-
-/* PRNG stc64.
- * Very fast PRNG suited for parallel usage with Weyl-sequence parameter.
- * 320-bit state, 256 bit is mutable.
- * Noticable faster than xoshiro and pcg, slighly slower than wyrand64 and
- * Romu, but these have restricted capacity for larger parallel jobs or unknown minimum periods.
- * stc64 supports 2^63 unique threads with a minimum 2^64 period lengths each.
- * Passes all statistical tests, e.g PractRand and correlation tests, i.e. interleaved
- * streams with one-bit diff state. Even the 16-bit version (LR=6, RS=5, LS=3) passes
- * PractRand to multiple TB input.
- */
-
-/* Global stc64 PRNGs */
-STC_API void     csrandom(uint64_t seed);
-STC_API uint64_t crandom(void);
-STC_API double   crandomf(void);
-
-/* Init stc64 prng with and without sequence number */
-STC_API stc64_t stc64_with_seq(uint64_t seed, uint64_t seq);
-STC_INLINE stc64_t stc64_new(uint64_t seed)
-    { return stc64_with_seq(seed, seed + 0x3504f333d3aa0b37); }
-
-/* Unbiased bounded uniform distribution. range [low, high] */
-STC_API stc64_uniform_t stc64_uniform_new(int64_t low, int64_t high);
-STC_API int64_t stc64_uniform(stc64_t* rng, stc64_uniform_t* dist);
-
-/* Normal distribution PRNG */
-STC_API double stc64_normalf(stc64_t* rng, stc64_normalf_t* dist);
-
-
-/* Main stc64 prng */
-STC_INLINE uint64_t stc64_rand(stc64_t* rng) {
-    uint64_t *s = rng->state; enum {LR=24, RS=11, LS=3};
-    const uint64_t result = (s[0] ^ (s[3] += s[4])) + s[1];
-    s[0] = s[1] ^ (s[1] >> RS);
-    s[1] = s[2] + (s[2] << LS);
-    s[2] = ((s[2] << LR) | (s[2] >> (64 - LR))) + result;
-    return result;
-}
-
-/* Float64 random number in range [0.0, 1.0). */
-STC_INLINE double stc64_randf(stc64_t* rng) {
-    union {uint64_t i; double f;} u = {0x3FF0000000000000ull | (stc64_rand(rng) >> 12)};
-    return u.f - 1.0;
-}
-
-/* Float64 uniform distributed RNG, range [low, high). */
-STC_INLINE double stc64_uniformf(stc64_t* rng, stc64_uniformf_t* dist) {
-    return stc64_randf(rng)*dist->range + dist->lower;
-}
-
-/* Init uniform distributed float64 RNG, range [low, high). */
-STC_INLINE stc64_uniformf_t stc64_uniformf_new(double low, double high) {
-    return c_LITERAL(stc64_uniformf_t){low, high - low};
-}
-
-/* Marsaglia polar method for gaussian/normal distribution, float64. */
-STC_INLINE stc64_normalf_t stc64_normalf_new(double mean, double stddev) {
-    return c_LITERAL(stc64_normalf_t){mean, stddev, 0.0, 0};
-}
-
-/* -------------------------- IMPLEMENTATION ------------------------- */
-#if defined(i_implement)
-
-/* Global random() */
-static stc64_t stc64_global = {{
-    0x26aa069ea2fb1a4d, 0x70c72c95cd592d04,
-    0x504f333d3aa0b359, 0x9e3779b97f4a7c15,
-    0x6a09e667a754166b
-}};
-
-STC_DEF void csrandom(uint64_t seed) {
-    stc64_global = stc64_new(seed);
-}
-
-STC_DEF uint64_t crandom(void) {
-    return stc64_rand(&stc64_global);
-}
-
-STC_DEF double crandomf(void) {
-    return stc64_randf(&stc64_global);
-}
-
-/* rng.state[4] must be odd */
-STC_DEF stc64_t stc64_with_seq(uint64_t seed, uint64_t seq) {
-    stc64_t rng = {{seed+0x26aa069ea2fb1a4d, seed+0x70c72c95cd592d04,
-                    seed+0x504f333d3aa0b359, seed, seq<<1 | 1}};
-    for (int i = 0; i < 6; ++i) stc64_rand(&rng);
-    return rng;
-}
-
-/* Init unbiased uniform uint RNG with bounds [low, high] */
-STC_DEF stc64_uniform_t stc64_uniform_new(int64_t low, int64_t high) {
-    stc64_uniform_t dist = {low, (uint64_t) (high - low + 1)};
-    dist.threshold = (uint64_t)(0 - dist.range) % dist.range;
-    return dist;
-}
-
-#if defined(__SIZEOF_INT128__)
-    #define c_umul128(a, b, lo, hi) \
-        do { __uint128_t _z = (__uint128_t)(a)*(b); \
-             *(lo) = (uint64_t)_z, *(hi) = (uint64_t)(_z >> 64U); } while(0)
-#elif defined(_MSC_VER) && defined(_WIN64)
-    #include <intrin.h>
-    #define c_umul128(a, b, lo, hi) ((void)(*(lo) = _umul128(a, b, hi)))
-#elif defined(__x86_64__)
-    #define c_umul128(a, b, lo, hi) \
-        asm("mulq %3" : "=a"(*(lo)), "=d"(*(hi)) : "a"(a), "rm"(b))
-#endif
-
-/* Int uniform distributed RNG, range [low, high]. */
-STC_DEF int64_t stc64_uniform(stc64_t* rng, stc64_uniform_t* d) {
-#ifdef c_umul128
-    uint64_t lo, hi;
-    do { c_umul128(stc64_rand(rng), d->range, &lo, &hi); } while (lo < d->threshold);
-    return d->lower + (int64_t)hi;
-#else
-    uint64_t x, r;
-    do {
-        x = stc64_rand(rng);
-        r = x % d->range;
-    } while (x - r > -d->range);
-    return d->lower + r;
-#endif
-}
-
-/* Normal distribution PRNG */
-STC_DEF double stc64_normalf(stc64_t* rng, stc64_normalf_t* dist) {
-    double u1, u2, s, m;
-    if (dist->has_next++ & 1)
-        return dist->next * dist->stddev + dist->mean;
-    do {
-        u1 = 2.0 * stc64_randf(rng) - 1.0;
-        u2 = 2.0 * stc64_randf(rng) - 1.0;
-        s = u1*u1 + u2*u2;
-    } while (s >= 1.0 || s == 0.0);
-    m = sqrt(-2.0 * log(s) / s);
-    dist->next = u2 * m;
-    return (u1 * m) * dist->stddev + dist->mean;
-}
-
-#endif
-#endif
-#undef i_opt
-#undef i_static
-#undef i_header
-#undef i_implement
-#undef i_extern