mirror of
https://github.com/Relintai/pandemonium_engine.git
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258 lines
8.5 KiB
C++
258 lines
8.5 KiB
C++
/*************************************************************************/
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/* open_simplex_noise.cpp */
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/*************************************************************************/
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/* This file is part of: */
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/* PANDEMONIUM ENGINE */
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/* https://github.com/Relintai/pandemonium_engine */
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/*************************************************************************/
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/* Copyright (c) 2022-present Péter Magyar. */
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/* Copyright (c) 2014-2022 Godot Engine contributors (cf. AUTHORS.md). */
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/* Copyright (c) 2007-2022 Juan Linietsky, Ariel Manzur. */
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/* */
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/* Permission is hereby granted, free of charge, to any person obtaining */
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/* a copy of this software and associated documentation files (the */
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/* "Software"), to deal in the Software without restriction, including */
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/* without limitation the rights to use, copy, modify, merge, publish, */
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/* distribute, sublicense, and/or sell copies of the Software, and to */
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/* permit persons to whom the Software is furnished to do so, subject to */
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/* the following conditions: */
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/* */
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/* The above copyright notice and this permission notice shall be */
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/* included in all copies or substantial portions of the Software. */
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/* */
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/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, */
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/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF */
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/* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*/
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/* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY */
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/* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, */
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/* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE */
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/* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */
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/*************************************************************************/
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#include "open_simplex_noise.h"
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#include "core/core_string_names.h"
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OpenSimplexNoise::OpenSimplexNoise() {
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seed = 0;
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persistence = 0.5;
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octaves = 3;
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period = 64;
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lacunarity = 2.0;
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_init_seeds();
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}
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OpenSimplexNoise::~OpenSimplexNoise() {
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}
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void OpenSimplexNoise::_init_seeds() {
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for (int i = 0; i < MAX_OCTAVES; ++i) {
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open_simplex_noise(seed + i * 2, &(contexts[i]));
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}
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}
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void OpenSimplexNoise::set_seed(int p_seed) {
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if (seed == p_seed) {
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return;
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}
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seed = p_seed;
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_init_seeds();
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emit_changed();
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}
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int OpenSimplexNoise::get_seed() const {
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return seed;
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}
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void OpenSimplexNoise::set_octaves(int p_octaves) {
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if (p_octaves == octaves) {
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return;
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}
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ERR_FAIL_COND_MSG(p_octaves > MAX_OCTAVES, vformat("The number of OpenSimplexNoise octaves is limited to %d; ignoring the new value.", MAX_OCTAVES));
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octaves = CLAMP(p_octaves, 1, MAX_OCTAVES);
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emit_changed();
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}
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void OpenSimplexNoise::set_period(float p_period) {
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if (p_period == period) {
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return;
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}
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period = p_period;
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emit_changed();
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}
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void OpenSimplexNoise::set_persistence(float p_persistence) {
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if (p_persistence == persistence) {
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return;
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}
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persistence = p_persistence;
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emit_changed();
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}
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void OpenSimplexNoise::set_lacunarity(float p_lacunarity) {
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if (p_lacunarity == lacunarity) {
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return;
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}
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lacunarity = p_lacunarity;
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emit_changed();
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}
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Ref<Image> OpenSimplexNoise::get_image(int p_width, int p_height, const Vector2 &p_noise_offset) const {
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PoolVector<uint8_t> data;
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data.resize(p_width * p_height);
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PoolVector<uint8_t>::Write wd8 = data.write();
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for (int i = 0; i < p_height; i++) {
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for (int j = 0; j < p_width; j++) {
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float v = get_noise_2d(float(j) + p_noise_offset.x, float(i) + p_noise_offset.y);
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v = v * 0.5 + 0.5; // Normalize [0..1]
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wd8[(i * p_width + j)] = uint8_t(CLAMP(v * 255.0, 0, 255));
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}
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}
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Ref<Image> image = memnew(Image(p_width, p_height, false, Image::FORMAT_L8, data));
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return image;
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}
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Ref<Image> OpenSimplexNoise::get_seamless_image(int p_size) const {
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PoolVector<uint8_t> data;
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data.resize(p_size * p_size);
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PoolVector<uint8_t>::Write wd8 = data.write();
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for (int i = 0; i < p_size; i++) {
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for (int j = 0; j < p_size; j++) {
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float ii = (float)i / (float)p_size;
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float jj = (float)j / (float)p_size;
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ii *= 2.0 * Math_PI;
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jj *= 2.0 * Math_PI;
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float radius = p_size / (2.0 * Math_PI);
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float x = radius * Math::sin(jj);
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float y = radius * Math::cos(jj);
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float z = radius * Math::sin(ii);
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float w = radius * Math::cos(ii);
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float v = get_noise_4d(x, y, z, w);
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v = v * 0.5 + 0.5; // Normalize [0..1]
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wd8[(i * p_size + j)] = uint8_t(CLAMP(v * 255.0, 0, 255));
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}
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}
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Ref<Image> image = memnew(Image(p_size, p_size, false, Image::FORMAT_L8, data));
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return image;
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}
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void OpenSimplexNoise::_bind_methods() {
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ClassDB::bind_method(D_METHOD("get_seed"), &OpenSimplexNoise::get_seed);
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ClassDB::bind_method(D_METHOD("set_seed", "seed"), &OpenSimplexNoise::set_seed);
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ClassDB::bind_method(D_METHOD("set_octaves", "octave_count"), &OpenSimplexNoise::set_octaves);
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ClassDB::bind_method(D_METHOD("get_octaves"), &OpenSimplexNoise::get_octaves);
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ClassDB::bind_method(D_METHOD("set_period", "period"), &OpenSimplexNoise::set_period);
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ClassDB::bind_method(D_METHOD("get_period"), &OpenSimplexNoise::get_period);
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ClassDB::bind_method(D_METHOD("set_persistence", "persistence"), &OpenSimplexNoise::set_persistence);
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ClassDB::bind_method(D_METHOD("get_persistence"), &OpenSimplexNoise::get_persistence);
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ClassDB::bind_method(D_METHOD("set_lacunarity", "lacunarity"), &OpenSimplexNoise::set_lacunarity);
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ClassDB::bind_method(D_METHOD("get_lacunarity"), &OpenSimplexNoise::get_lacunarity);
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ClassDB::bind_method(D_METHOD("get_image", "width", "height", "noise_offset"), &OpenSimplexNoise::get_image, DEFVAL(Vector2()));
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ClassDB::bind_method(D_METHOD("get_seamless_image", "size"), &OpenSimplexNoise::get_seamless_image);
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ClassDB::bind_method(D_METHOD("get_noise_1d", "x"), &OpenSimplexNoise::get_noise_1d);
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ClassDB::bind_method(D_METHOD("get_noise_2d", "x", "y"), &OpenSimplexNoise::get_noise_2d);
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ClassDB::bind_method(D_METHOD("get_noise_3d", "x", "y", "z"), &OpenSimplexNoise::get_noise_3d);
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ClassDB::bind_method(D_METHOD("get_noise_4d", "x", "y", "z", "w"), &OpenSimplexNoise::get_noise_4d);
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ClassDB::bind_method(D_METHOD("get_noise_2dv", "pos"), &OpenSimplexNoise::get_noise_2dv);
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ClassDB::bind_method(D_METHOD("get_noise_3dv", "pos"), &OpenSimplexNoise::get_noise_3dv);
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ADD_PROPERTY(PropertyInfo(Variant::INT, "seed"), "set_seed", "get_seed");
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ADD_PROPERTY(PropertyInfo(Variant::INT, "octaves", PROPERTY_HINT_RANGE, vformat("1,%d,1", MAX_OCTAVES)), "set_octaves", "get_octaves");
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ADD_PROPERTY(PropertyInfo(Variant::REAL, "period", PROPERTY_HINT_RANGE, "0.1,256.0,0.1"), "set_period", "get_period");
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ADD_PROPERTY(PropertyInfo(Variant::REAL, "persistence", PROPERTY_HINT_RANGE, "0.0,1.0,0.001"), "set_persistence", "get_persistence");
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ADD_PROPERTY(PropertyInfo(Variant::REAL, "lacunarity", PROPERTY_HINT_RANGE, "0.1,4.0,0.01"), "set_lacunarity", "get_lacunarity");
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}
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float OpenSimplexNoise::get_noise_1d(float x) const {
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return get_noise_2d(x, 1.0);
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}
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float OpenSimplexNoise::get_noise_2d(float x, float y) const {
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x /= period;
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y /= period;
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float amp = 1.0;
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float max = 1.0;
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float sum = _get_octave_noise_2d(0, x, y);
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int i = 0;
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while (++i < octaves) {
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x *= lacunarity;
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y *= lacunarity;
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amp *= persistence;
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max += amp;
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sum += _get_octave_noise_2d(i, x, y) * amp;
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}
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return sum / max;
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}
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float OpenSimplexNoise::get_noise_3d(float x, float y, float z) const {
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x /= period;
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y /= period;
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z /= period;
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float amp = 1.0;
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float max = 1.0;
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float sum = _get_octave_noise_3d(0, x, y, z);
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int i = 0;
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while (++i < octaves) {
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x *= lacunarity;
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y *= lacunarity;
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z *= lacunarity;
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amp *= persistence;
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max += amp;
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sum += _get_octave_noise_3d(i, x, y, z) * amp;
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}
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return sum / max;
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}
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float OpenSimplexNoise::get_noise_4d(float x, float y, float z, float w) const {
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x /= period;
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y /= period;
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z /= period;
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w /= period;
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float amp = 1.0;
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float max = 1.0;
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float sum = _get_octave_noise_4d(0, x, y, z, w);
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int i = 0;
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while (++i < octaves) {
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x *= lacunarity;
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y *= lacunarity;
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z *= lacunarity;
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w *= lacunarity;
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amp *= persistence;
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max += amp;
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sum += _get_octave_noise_4d(i, x, y, z, w) * amp;
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}
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return sum / max;
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}
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