Add Chromium-only Blender WebEngine parity work
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408
blender-5.2.0/source/blender/blenlib/intern/rand.cc
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408
blender-5.2.0/source/blender/blenlib/intern/rand.cc
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/* SPDX-FileCopyrightText: 2001-2002 NaN Holding BV. All rights reserved.
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*
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* SPDX-License-Identifier: GPL-2.0-or-later */
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/** \file
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* \ingroup bli
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*/
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#include <cmath>
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#include <cstdlib>
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#include <cstring>
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#include <ctime>
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#include <random>
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#include "MEM_guardedalloc.h"
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#include "BLI_bitmap.h"
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#include "BLI_compiler_compat.h"
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#include "BLI_math_vector.h"
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#include "BLI_noise.h"
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#include "BLI_rand.h"
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#include "BLI_rand.hh"
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#include "BLI_sys_types.h"
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#include "BLI_threads.h"
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#include "BLI_strict_flags.h" /* IWYU pragma: keep. Keep last. */
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namespace blender {
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#define hash BLI_noise_hash_uchar_512
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/**
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* Random Number Generator.
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*/
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struct RNG {
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RandomNumberGenerator rng;
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MEM_CXX_CLASS_ALLOC_FUNCS("RNG")
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};
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RNG *BLI_rng_new(uint seed)
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{
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RNG *rng = new RNG();
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rng->rng.seed(seed);
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return rng;
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}
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RNG *BLI_rng_new_srandom(uint seed)
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{
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RNG *rng = new RNG();
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rng->rng.seed_random(seed);
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return rng;
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}
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void BLI_rng_free(RNG *rng)
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{
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delete rng;
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}
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void BLI_rng_seed(RNG *rng, uint seed)
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{
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rng->rng.seed(seed);
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}
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void BLI_rng_srandom(RNG *rng, uint seed)
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{
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rng->rng.seed_random(seed);
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}
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void BLI_rng_get_char_n(RNG *rng, char *bytes, size_t bytes_len)
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{
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rng->rng.get_bytes(MutableSpan(bytes, int64_t(bytes_len)));
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}
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int BLI_rng_get_int(RNG *rng)
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{
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return rng->rng.get_int32();
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}
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uint BLI_rng_get_uint(RNG *rng)
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{
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return rng->rng.get_uint32();
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}
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double BLI_rng_get_double(RNG *rng)
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{
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return rng->rng.get_double();
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}
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float BLI_rng_get_float(RNG *rng)
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{
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return rng->rng.get_float();
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}
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void BLI_rng_get_tri_sample_float_v2(
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RNG *rng, const float v1[2], const float v2[2], const float v3[2], float r_pt[2])
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{
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copy_v2_v2(r_pt, rng->rng.get_triangle_sample(v1, v2, v3));
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}
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void BLI_rng_shuffle_array(RNG *rng, void *data, uint elem_size_i, uint elem_num)
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{
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if (elem_num <= 1) {
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return;
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}
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const uint elem_size = elem_size_i;
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uint i = elem_num;
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void *temp = malloc(elem_size);
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while (i--) {
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const uint j = BLI_rng_get_uint(rng) % elem_num;
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if (i != j) {
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void *iElem = static_cast<uchar *>(data) + i * elem_size_i;
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void *jElem = static_cast<uchar *>(data) + j * elem_size_i;
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memcpy(temp, iElem, elem_size);
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memcpy(iElem, jElem, elem_size);
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memcpy(jElem, temp, elem_size);
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}
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}
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free(temp);
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}
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void BLI_rng_shuffle_bitmap(RNG *rng, BLI_bitmap *bitmap, uint bits_num)
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{
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if (bits_num <= 1) {
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return;
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}
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uint i = bits_num;
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while (i--) {
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const uint j = BLI_rng_get_uint(rng) % bits_num;
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if (i != j) {
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const bool i_bit = BLI_BITMAP_TEST(bitmap, i);
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const bool j_bit = BLI_BITMAP_TEST(bitmap, j);
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BLI_BITMAP_SET(bitmap, i, j_bit);
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BLI_BITMAP_SET(bitmap, j, i_bit);
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}
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}
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}
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void BLI_rng_skip(RNG *rng, int n)
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{
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rng->rng.skip(uint(n));
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}
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/***/
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float BLI_hash_frand(uint seed)
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{
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RNG rng;
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BLI_rng_srandom(&rng, seed);
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return BLI_rng_get_float(&rng);
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}
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void BLI_array_randomize(void *data, uint elem_size, uint elem_num, uint seed)
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{
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RNG rng;
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BLI_rng_seed(&rng, seed);
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BLI_rng_shuffle_array(&rng, data, elem_size, elem_num);
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}
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void BLI_bitmap_randomize(BLI_bitmap *bitmap, uint bits_num, uint seed)
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{
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RNG rng;
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BLI_rng_seed(&rng, seed);
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BLI_rng_shuffle_bitmap(&rng, bitmap, bits_num);
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}
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/* ********* for threaded random ************** */
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struct RNG_THREAD_ARRAY {
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std::array<RNG, BLENDER_MAX_THREADS> rng_tab;
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};
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RNG_THREAD_ARRAY *BLI_rng_threaded_new()
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{
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uint i;
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RNG_THREAD_ARRAY *rngarr = MEM_new<RNG_THREAD_ARRAY>("random_array");
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for (i = 0; i < BLENDER_MAX_THREADS; i++) {
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BLI_rng_srandom(&rngarr->rng_tab[i], uint(clock()));
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}
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return rngarr;
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}
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void BLI_rng_threaded_free(RNG_THREAD_ARRAY *rngarr)
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{
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MEM_delete(rngarr);
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}
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int BLI_rng_thread_rand(RNG_THREAD_ARRAY *rngarr, int thread)
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{
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return BLI_rng_get_int(&rngarr->rng_tab[size_t(thread)]);
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}
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/* ********* Low-discrepancy sequences ************** */
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/* incremental halton sequence generator, from:
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* "Instant Radiosity", Keller A. */
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BLI_INLINE double halton_ex(double invprimes, double *offset)
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{
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double e = fabs((1.0 - *offset) - 1e-10);
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if (invprimes >= e) {
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double lasth;
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double h = invprimes;
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do {
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lasth = h;
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h *= invprimes;
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} while (h >= e);
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*offset += ((lasth + h) - 1.0);
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}
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else {
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*offset += invprimes;
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}
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return *offset;
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}
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void BLI_halton_1d(uint prime, double offset, int n, double *r)
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{
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const double invprime = 1.0 / double(prime);
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*r = 0.0;
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for (int s = 0; s < n; s++) {
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*r = halton_ex(invprime, &offset);
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}
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}
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void BLI_halton_2d(const uint prime[2], double offset[2], int n, double *r)
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{
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const double invprimes[2] = {1.0 / double(prime[0]), 1.0 / double(prime[1])};
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r[0] = r[1] = 0.0;
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for (int s = 0; s < n; s++) {
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for (int i = 0; i < 2; i++) {
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r[i] = halton_ex(invprimes[i], &offset[i]);
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}
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}
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}
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void BLI_halton_3d(const uint prime[3], double offset[3], int n, double *r)
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{
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const double invprimes[3] = {
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1.0 / double(prime[0]), 1.0 / double(prime[1]), 1.0 / double(prime[2])};
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r[0] = r[1] = r[2] = 0.0;
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for (int s = 0; s < n; s++) {
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for (int i = 0; i < 3; i++) {
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r[i] = halton_ex(invprimes[i], &offset[i]);
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}
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}
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}
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/* From "Sampling with Hammersley and Halton Points" TT Wong
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* Appendix: Source Code 1 */
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BLI_INLINE double radical_inverse(uint n)
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{
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double u = 0;
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/* This reverse the bit-wise representation
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* around the decimal point. */
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for (double p = 0.5; n; p *= 0.5, n >>= 1) {
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if (n & 1) {
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u += p;
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}
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}
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return u;
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}
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void BLI_hammersley_1d(uint n, double *r)
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{
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*r = radical_inverse(n);
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}
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RandomNumberGenerator RandomNumberGenerator::from_random_seed()
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{
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std::random_device rd;
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std::mt19937 e{rd()};
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std::uniform_int_distribution<uint32_t> dist;
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const uint32_t seed = dist(e);
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return RandomNumberGenerator(seed);
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}
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void RandomNumberGenerator::seed_random(uint32_t seed)
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{
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this->seed(seed + hash[seed & 255]);
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seed = this->get_uint32();
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this->seed(seed + hash[seed & 255]);
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seed = this->get_uint32();
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this->seed(seed + hash[seed & 255]);
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}
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int RandomNumberGenerator::round_probabilistic(float x)
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{
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/* Support for negative values can be added when necessary. */
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BLI_assert(x >= 0.0f);
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const float round_up_probability = fractf(x);
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const bool round_up = round_up_probability > this->get_float();
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return int(x) + int(round_up);
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}
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float2 RandomNumberGenerator::get_unit_float2()
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{
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float a = float(M_PI * 2.0) * this->get_float();
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return {cosf(a), sinf(a)};
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}
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float3 RandomNumberGenerator::get_unit_float3()
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{
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float z = (2.0f * this->get_float()) - 1.0f;
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float r = 1.0f - z * z;
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if (r > 0.0f) {
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float a = float(M_PI * 2.0) * this->get_float();
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r = sqrtf(r);
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float x = r * cosf(a);
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float y = r * sinf(a);
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return {x, y, z};
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}
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return {0.0f, 0.0f, 1.0f};
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}
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float2 RandomNumberGenerator::get_triangle_sample(float2 v1, float2 v2, float2 v3)
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{
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float u = this->get_float();
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float v = this->get_float();
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if (u + v > 1.0f) {
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u = 1.0f - u;
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v = 1.0f - v;
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}
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float2 side_u = v2 - v1;
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float2 side_v = v3 - v1;
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float2 sample = v1;
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sample += side_u * u;
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sample += side_v * v;
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return sample;
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}
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float3 RandomNumberGenerator::get_triangle_sample_3d(float3 v1, float3 v2, float3 v3)
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{
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float u = this->get_float();
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float v = this->get_float();
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if (u + v > 1.0f) {
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u = 1.0f - u;
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v = 1.0f - v;
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}
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float3 side_u = v2 - v1;
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float3 side_v = v3 - v1;
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float3 sample = v1;
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sample += side_u * u;
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sample += side_v * v;
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return sample;
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}
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void RandomNumberGenerator::get_bytes(MutableSpan<char> r_bytes)
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{
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constexpr int64_t mask_bytes = 2;
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constexpr int64_t rand_stride = int64_t(sizeof(x_)) - mask_bytes;
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int64_t last_len = 0;
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int64_t trim_len = r_bytes.size();
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if (trim_len > rand_stride) {
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last_len = trim_len % rand_stride;
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trim_len = trim_len - last_len;
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}
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else {
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trim_len = 0;
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last_len = r_bytes.size();
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}
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const char *data_src = reinterpret_cast<const char *>(&x_);
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int64_t i = 0;
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while (i != trim_len) {
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BLI_assert(i < trim_len);
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/* NOTE: this is endianness-sensitive.
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* Big Endian needs to iterate in reverse, with a `mask_bytes - 1` offset. */
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for (int64_t j = 0; j != rand_stride; j++) {
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r_bytes[i++] = data_src[j];
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}
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this->step();
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}
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if (last_len) {
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for (int64_t j = 0; j != last_len; j++) {
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r_bytes[i++] = data_src[j];
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}
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}
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}
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} // namespace blender
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