/*************************************************************************/ /* open_simplex_noise.cpp */ /*************************************************************************/ /* This file is part of: */ /* PANDEMONIUM ENGINE */ /* https://github.com/Relintai/pandemonium_engine */ /*************************************************************************/ /* Copyright (c) 2022-present Péter Magyar. */ /* Copyright (c) 2014-2022 Godot Engine contributors (cf. AUTHORS.md). */ /* Copyright (c) 2007-2022 Juan Linietsky, Ariel Manzur. */ /* */ /* 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 "open_simplex_noise.h" #include "core/core_string_names.h" OpenSimplexNoise::OpenSimplexNoise() { seed = 0; persistence = 0.5; octaves = 3; period = 64; lacunarity = 2.0; _init_seeds(); } OpenSimplexNoise::~OpenSimplexNoise() { } void OpenSimplexNoise::_init_seeds() { for (int i = 0; i < MAX_OCTAVES; ++i) { open_simplex_noise(seed + i * 2, &(contexts[i])); } } void OpenSimplexNoise::set_seed(int p_seed) { if (seed == p_seed) { return; } seed = p_seed; _init_seeds(); emit_changed(); } int OpenSimplexNoise::get_seed() const { return seed; } void OpenSimplexNoise::set_octaves(int p_octaves) { if (p_octaves == octaves) { return; } ERR_FAIL_COND_MSG(p_octaves > MAX_OCTAVES, vformat("The number of OpenSimplexNoise octaves is limited to %d; ignoring the new value.", MAX_OCTAVES)); octaves = CLAMP(p_octaves, 1, MAX_OCTAVES); emit_changed(); } void OpenSimplexNoise::set_period(float p_period) { if (p_period == period) { return; } period = p_period; emit_changed(); } void OpenSimplexNoise::set_persistence(float p_persistence) { if (p_persistence == persistence) { return; } persistence = p_persistence; emit_changed(); } void OpenSimplexNoise::set_lacunarity(float p_lacunarity) { if (p_lacunarity == lacunarity) { return; } lacunarity = p_lacunarity; emit_changed(); } Ref OpenSimplexNoise::get_image(int p_width, int p_height, const Vector2 &p_noise_offset) const { PoolVector data; data.resize(p_width * p_height); PoolVector::Write wd8 = data.write(); for (int i = 0; i < p_height; i++) { for (int j = 0; j < p_width; j++) { float v = get_noise_2d(float(j) + p_noise_offset.x, float(i) + p_noise_offset.y); v = v * 0.5 + 0.5; // Normalize [0..1] wd8[(i * p_width + j)] = uint8_t(CLAMP(v * 255.0, 0, 255)); } } Ref image = memnew(Image(p_width, p_height, false, Image::FORMAT_L8, data)); return image; } Ref OpenSimplexNoise::get_seamless_image(int p_size) const { PoolVector data; data.resize(p_size * p_size); PoolVector::Write wd8 = data.write(); for (int i = 0; i < p_size; i++) { for (int j = 0; j < p_size; j++) { float ii = (float)i / (float)p_size; float jj = (float)j / (float)p_size; ii *= 2.0 * Math_PI; jj *= 2.0 * Math_PI; float radius = p_size / (2.0 * Math_PI); float x = radius * Math::sin(jj); float y = radius * Math::cos(jj); float z = radius * Math::sin(ii); float w = radius * Math::cos(ii); float v = get_noise_4d(x, y, z, w); v = v * 0.5 + 0.5; // Normalize [0..1] wd8[(i * p_size + j)] = uint8_t(CLAMP(v * 255.0, 0, 255)); } } Ref image = memnew(Image(p_size, p_size, false, Image::FORMAT_L8, data)); return image; } void OpenSimplexNoise::_bind_methods() { ClassDB::bind_method(D_METHOD("get_seed"), &OpenSimplexNoise::get_seed); ClassDB::bind_method(D_METHOD("set_seed", "seed"), &OpenSimplexNoise::set_seed); ClassDB::bind_method(D_METHOD("set_octaves", "octave_count"), &OpenSimplexNoise::set_octaves); ClassDB::bind_method(D_METHOD("get_octaves"), &OpenSimplexNoise::get_octaves); ClassDB::bind_method(D_METHOD("set_period", "period"), &OpenSimplexNoise::set_period); ClassDB::bind_method(D_METHOD("get_period"), &OpenSimplexNoise::get_period); ClassDB::bind_method(D_METHOD("set_persistence", "persistence"), &OpenSimplexNoise::set_persistence); ClassDB::bind_method(D_METHOD("get_persistence"), &OpenSimplexNoise::get_persistence); ClassDB::bind_method(D_METHOD("set_lacunarity", "lacunarity"), &OpenSimplexNoise::set_lacunarity); ClassDB::bind_method(D_METHOD("get_lacunarity"), &OpenSimplexNoise::get_lacunarity); ClassDB::bind_method(D_METHOD("get_image", "width", "height", "noise_offset"), &OpenSimplexNoise::get_image, DEFVAL(Vector2())); ClassDB::bind_method(D_METHOD("get_seamless_image", "size"), &OpenSimplexNoise::get_seamless_image); ClassDB::bind_method(D_METHOD("get_noise_1d", "x"), &OpenSimplexNoise::get_noise_1d); ClassDB::bind_method(D_METHOD("get_noise_2d", "x", "y"), &OpenSimplexNoise::get_noise_2d); ClassDB::bind_method(D_METHOD("get_noise_3d", "x", "y", "z"), &OpenSimplexNoise::get_noise_3d); ClassDB::bind_method(D_METHOD("get_noise_4d", "x", "y", "z", "w"), &OpenSimplexNoise::get_noise_4d); ClassDB::bind_method(D_METHOD("get_noise_2dv", "pos"), &OpenSimplexNoise::get_noise_2dv); ClassDB::bind_method(D_METHOD("get_noise_3dv", "pos"), &OpenSimplexNoise::get_noise_3dv); ADD_PROPERTY(PropertyInfo(Variant::INT, "seed"), "set_seed", "get_seed"); ADD_PROPERTY(PropertyInfo(Variant::INT, "octaves", PROPERTY_HINT_RANGE, vformat("1,%d,1", MAX_OCTAVES)), "set_octaves", "get_octaves"); ADD_PROPERTY(PropertyInfo(Variant::REAL, "period", PROPERTY_HINT_RANGE, "0.1,256.0,0.1"), "set_period", "get_period"); ADD_PROPERTY(PropertyInfo(Variant::REAL, "persistence", PROPERTY_HINT_RANGE, "0.0,1.0,0.001"), "set_persistence", "get_persistence"); ADD_PROPERTY(PropertyInfo(Variant::REAL, "lacunarity", PROPERTY_HINT_RANGE, "0.1,4.0,0.01"), "set_lacunarity", "get_lacunarity"); } float OpenSimplexNoise::get_noise_1d(float x) const { return get_noise_2d(x, 1.0); } float OpenSimplexNoise::get_noise_2d(float x, float y) const { x /= period; y /= period; float amp = 1.0; float max = 1.0; float sum = _get_octave_noise_2d(0, x, y); int i = 0; while (++i < octaves) { x *= lacunarity; y *= lacunarity; amp *= persistence; max += amp; sum += _get_octave_noise_2d(i, x, y) * amp; } return sum / max; } float OpenSimplexNoise::get_noise_3d(float x, float y, float z) const { x /= period; y /= period; z /= period; float amp = 1.0; float max = 1.0; float sum = _get_octave_noise_3d(0, x, y, z); int i = 0; while (++i < octaves) { x *= lacunarity; y *= lacunarity; z *= lacunarity; amp *= persistence; max += amp; sum += _get_octave_noise_3d(i, x, y, z) * amp; } return sum / max; } float OpenSimplexNoise::get_noise_4d(float x, float y, float z, float w) const { x /= period; y /= period; z /= period; w /= period; float amp = 1.0; float max = 1.0; float sum = _get_octave_noise_4d(0, x, y, z, w); int i = 0; while (++i < octaves) { x *= lacunarity; y *= lacunarity; z *= lacunarity; w *= lacunarity; amp *= persistence; max += amp; sum += _get_octave_noise_4d(i, x, y, z, w) * amp; } return sum / max; }