asgardius/virtualx-engine
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions
virtualx-engine/modules/noise/tests/test_fastnoise_lite.h

Ignoring revisions in .git-blame-ignore-revs. Click here to bypass and see the normal blame view.

638 lines
33 KiB
C++
Raw Normal View History

Add tests for FastNoiseLite/NoiseTexture + fix some issues with seamless noise generation
2023-01-06 02:46:08 +01:00
/**************************************************************************/
/* test_fastnoise_lite.h */
/**************************************************************************/
/* This file is part of: */
/* GODOT ENGINE */
/* https://godotengine.org */
/**************************************************************************/
/* Copyright (c) 2014-present Godot Engine contributors (see AUTHORS.md). */
/* Copyright (c) 2007-2014 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. */
/**************************************************************************/
#ifndef TEST_FASTNOISE_LITE_H
#define TEST_FASTNOISE_LITE_H
#include "tests/test_macros.h"
#include "modules/noise/fastnoise_lite.h"
namespace TestFastNoiseLite {
// Uitility functions for finding differences in noise generation
bool all_equal_approx(const Vector<real_t> &p_values_1, const Vector<real_t> &p_values_2) {
ERR_FAIL_COND_V_MSG(p_values_1.size() != p_values_2.size(), false, "Arrays must be the same size. This is a error in the test code.");
for (int i = 0; i < p_values_1.size(); i++) {
if (!Math::is_equal_approx(p_values_1[i], p_values_2[i])) {
return false;
}
}
return true;
}
Vector<Pair<size_t, size_t>> find_approx_equal_vec_pairs(std::initializer_list<Vector<real_t>> inputs) {
Vector<Vector<real_t>> p_array = Vector<Vector<real_t>>(inputs);
Vector<Pair<size_t, size_t>> result;
for (int i = 0; i < p_array.size(); i++) {
for (int j = i + 1; j < p_array.size(); j++) {
if (all_equal_approx(p_array[i], p_array[j])) {
result.push_back(Pair<size_t, size_t>(i, j));
}
}
}
return result;
}
#define CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(...) \
{ \
Vector<Pair<size_t, size_t>> equal_pairs = find_approx_equal_vec_pairs({ __VA_ARGS__ }); \
for (Pair<size_t, size_t> p : equal_pairs) { \
MESSAGE("Argument with index ", p.first, " is approximately equal to argument with index ", p.second); \
} \
CHECK_MESSAGE(equal_pairs.size() == 0, "All arguments should be pairwise distinct."); \
}
Vector<real_t> get_noise_samples_1d(const FastNoiseLite &p_noise, size_t p_count = 32) {
Vector<real_t> result;
result.resize(p_count);
for (size_t i = 0; i < p_count; i++) {
result.write[i] = p_noise.get_noise_1d(i);
}
return result;
}
Vector<real_t> get_noise_samples_2d(const FastNoiseLite &p_noise, size_t p_count = 32) {
Vector<real_t> result;
result.resize(p_count);
for (size_t i = 0; i < p_count; i++) {
result.write[i] = p_noise.get_noise_2d(i, i);
}
return result;
}
Vector<real_t> get_noise_samples_3d(const FastNoiseLite &p_noise, size_t p_count = 32) {
Vector<real_t> result;
result.resize(p_count);
for (size_t i = 0; i < p_count; i++) {
result.write[i] = p_noise.get_noise_3d(i, i, i);
}
return result;
}
// The following test suite is rather for testing the wrapper code than the actual noise generation.
TEST_CASE("[FastNoiseLite] Getter and setter") {
FastNoiseLite noise;
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX_SMOOTH);
CHECK(noise.get_noise_type() == FastNoiseLite::NoiseType::TYPE_SIMPLEX_SMOOTH);
noise.set_seed(123);
CHECK(noise.get_seed() == 123);
noise.set_frequency(0.123);
CHECK(noise.get_frequency() == doctest::Approx(0.123));
noise.set_offset(Vector3(1, 2, 3));
CHECK(noise.get_offset() == Vector3(1, 2, 3));
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_PING_PONG);
CHECK(noise.get_fractal_type() == FastNoiseLite::FractalType::FRACTAL_PING_PONG);
noise.set_fractal_octaves(2);
CHECK(noise.get_fractal_octaves() == 2);
noise.set_fractal_lacunarity(1.123);
CHECK(noise.get_fractal_lacunarity() == doctest::Approx(1.123));
noise.set_fractal_gain(0.123);
CHECK(noise.get_fractal_gain() == doctest::Approx(0.123));
noise.set_fractal_weighted_strength(0.123);
CHECK(noise.get_fractal_weighted_strength() == doctest::Approx(0.123));
noise.set_fractal_ping_pong_strength(0.123);
CHECK(noise.get_fractal_ping_pong_strength() == doctest::Approx(0.123));
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_MANHATTAN);
CHECK(noise.get_cellular_distance_function() == FastNoiseLite::CellularDistanceFunction::DISTANCE_MANHATTAN);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE2_SUB);
CHECK(noise.get_cellular_return_type() == FastNoiseLite::CellularReturnType::RETURN_DISTANCE2_SUB);
noise.set_cellular_jitter(0.123);
CHECK(noise.get_cellular_jitter() == doctest::Approx(0.123));
noise.set_domain_warp_enabled(true);
CHECK(noise.is_domain_warp_enabled() == true);
noise.set_domain_warp_enabled(false);
CHECK(noise.is_domain_warp_enabled() == false);
noise.set_domain_warp_type(FastNoiseLite::DomainWarpType::DOMAIN_WARP_SIMPLEX_REDUCED);
CHECK(noise.get_domain_warp_type() == FastNoiseLite::DomainWarpType::DOMAIN_WARP_SIMPLEX_REDUCED);
noise.set_domain_warp_amplitude(0.123);
CHECK(noise.get_domain_warp_amplitude() == doctest::Approx(0.123));
noise.set_domain_warp_frequency(0.123);
CHECK(noise.get_domain_warp_frequency() == doctest::Approx(0.123));
noise.set_domain_warp_fractal_type(FastNoiseLite::DomainWarpFractalType::DOMAIN_WARP_FRACTAL_INDEPENDENT);
CHECK(noise.get_domain_warp_fractal_type() == FastNoiseLite::DomainWarpFractalType::DOMAIN_WARP_FRACTAL_INDEPENDENT);
noise.set_domain_warp_fractal_octaves(2);
CHECK(noise.get_domain_warp_fractal_octaves() == 2);
noise.set_domain_warp_fractal_lacunarity(1.123);
CHECK(noise.get_domain_warp_fractal_lacunarity() == doctest::Approx(1.123));
noise.set_domain_warp_fractal_gain(0.123);
CHECK(noise.get_domain_warp_fractal_gain() == doctest::Approx(0.123));
}
TEST_CASE("[FastNoiseLite] Basic noise generation") {
FastNoiseLite noise;
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX);
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_NONE);
noise.set_seed(123);
noise.set_offset(Vector3(10, 10, 10));
// 1D noise will be checked just in the cases where there's the possibility of
// finding a bug/regression in the wrapper function.
// (since it uses FastNoise's 2D noise generator with the Y coordinate set to 0).
SUBCASE("Determinacy of noise generation (all noise types)") {
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX);
CHECK(noise.get_noise_2d(0, 0) == doctest::Approx(noise.get_noise_2d(0, 0)));
CHECK(noise.get_noise_3d(0, 0, 0) == doctest::Approx(noise.get_noise_3d(0, 0, 0)));
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX_SMOOTH);
CHECK(noise.get_noise_2d(0, 0) == doctest::Approx(noise.get_noise_2d(0, 0)));
CHECK(noise.get_noise_3d(0, 0, 0) == doctest::Approx(noise.get_noise_3d(0, 0, 0)));
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_CELLULAR);
CHECK(noise.get_noise_2d(0, 0) == doctest::Approx(noise.get_noise_2d(0, 0)));
CHECK(noise.get_noise_3d(0, 0, 0) == doctest::Approx(noise.get_noise_3d(0, 0, 0)));
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_PERLIN);
CHECK(noise.get_noise_2d(0, 0) == doctest::Approx(noise.get_noise_2d(0, 0)));
CHECK(noise.get_noise_3d(0, 0, 0) == doctest::Approx(noise.get_noise_3d(0, 0, 0)));
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_VALUE);
CHECK(noise.get_noise_2d(0, 0) == doctest::Approx(noise.get_noise_2d(0, 0)));
CHECK(noise.get_noise_3d(0, 0, 0) == doctest::Approx(noise.get_noise_3d(0, 0, 0)));
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_VALUE_CUBIC);
CHECK(noise.get_noise_2d(0, 0) == doctest::Approx(noise.get_noise_2d(0, 0)));
CHECK(noise.get_noise_3d(0, 0, 0) == doctest::Approx(noise.get_noise_3d(0, 0, 0)));
}
SUBCASE("Different seeds should produce different noise") {
noise.set_seed(456);
Vector<real_t> noise_seed_1_1d = get_noise_samples_1d(noise);
Vector<real_t> noise_seed_1_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_seed_1_3d = get_noise_samples_3d(noise);
noise.set_seed(123);
Vector<real_t> noise_seed_2_1d = get_noise_samples_1d(noise);
Vector<real_t> noise_seed_2_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_seed_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(noise_seed_1_1d, noise_seed_2_1d));
CHECK_FALSE(all_equal_approx(noise_seed_1_2d, noise_seed_2_2d));
CHECK_FALSE(all_equal_approx(noise_seed_1_3d, noise_seed_2_3d));
}
SUBCASE("Different frequencies should produce different noise") {
noise.set_frequency(0.1);
Vector<real_t> noise_frequency_1_1d = get_noise_samples_1d(noise);
Vector<real_t> noise_frequency_1_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_frequency_1_3d = get_noise_samples_3d(noise);
noise.set_frequency(1.0);
Vector<real_t> noise_frequency_2_1d = get_noise_samples_1d(noise);
Vector<real_t> noise_frequency_2_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_frequency_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(noise_frequency_1_1d, noise_frequency_2_1d));
CHECK_FALSE(all_equal_approx(noise_frequency_1_2d, noise_frequency_2_2d));
CHECK_FALSE(all_equal_approx(noise_frequency_1_3d, noise_frequency_2_3d));
}
SUBCASE("Noise should be offset by the offset parameter") {
noise.set_offset(Vector3(1, 2, 3));
Vector<real_t> noise_offset_1_1d = get_noise_samples_1d(noise);
Vector<real_t> noise_offset_1_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_offset_1_3d = get_noise_samples_3d(noise);
noise.set_offset(Vector3(4, 5, 6));
Vector<real_t> noise_offset_2_1d = get_noise_samples_1d(noise);
Vector<real_t> noise_offset_2_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_offset_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(noise_offset_1_1d, noise_offset_2_1d));
CHECK_FALSE(all_equal_approx(noise_offset_1_2d, noise_offset_2_2d));
CHECK_FALSE(all_equal_approx(noise_offset_1_3d, noise_offset_2_3d));
}
SUBCASE("Different noise types should produce different noise") {
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX);
Vector<real_t> noise_type_simplex_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_type_simplex_3d = get_noise_samples_3d(noise);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX_SMOOTH);
Vector<real_t> noise_type_simplex_smooth_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_type_simplex_smooth_3d = get_noise_samples_3d(noise);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_CELLULAR);
Vector<real_t> noise_type_cellular_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_type_cellular_3d = get_noise_samples_3d(noise);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_PERLIN);
Vector<real_t> noise_type_perlin_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_type_perlin_3d = get_noise_samples_3d(noise);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_VALUE);
Vector<real_t> noise_type_value_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_type_value_3d = get_noise_samples_3d(noise);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_VALUE_CUBIC);
Vector<real_t> noise_type_value_cubic_2d = get_noise_samples_2d(noise);
Vector<real_t> noise_type_value_cubic_3d = get_noise_samples_3d(noise);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(noise_type_simplex_2d,
noise_type_simplex_smooth_2d,
noise_type_cellular_2d,
noise_type_perlin_2d,
noise_type_value_2d,
noise_type_value_cubic_2d);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(noise_type_simplex_3d,
noise_type_simplex_smooth_3d,
noise_type_cellular_3d,
noise_type_perlin_3d,
noise_type_value_3d,
noise_type_value_cubic_3d);
}
}
TEST_CASE("[FastNoiseLite] Fractal noise") {
FastNoiseLite noise;
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX);
noise.set_offset(Vector3(10, 10, 10));
noise.set_frequency(0.01);
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_FBM);
noise.set_fractal_octaves(4);
noise.set_fractal_lacunarity(2.0);
noise.set_fractal_gain(0.5);
noise.set_fractal_weighted_strength(0.5);
noise.set_fractal_ping_pong_strength(2.0);
SUBCASE("Different fractal types should produce different results") {
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_NONE);
Vector<real_t> fractal_type_none_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_type_none_3d = get_noise_samples_3d(noise);
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_FBM);
Vector<real_t> fractal_type_fbm_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_type_fbm_3d = get_noise_samples_3d(noise);
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_RIDGED);
Vector<real_t> fractal_type_ridged_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_type_ridged_3d = get_noise_samples_3d(noise);
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_PING_PONG);
Vector<real_t> fractal_type_ping_pong_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_type_ping_pong_3d = get_noise_samples_3d(noise);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(fractal_type_none_2d,
fractal_type_fbm_2d,
fractal_type_ridged_2d,
fractal_type_ping_pong_2d);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(fractal_type_none_3d,
fractal_type_fbm_3d,
fractal_type_ridged_3d,
fractal_type_ping_pong_3d);
}
SUBCASE("Different octaves should produce different results") {
noise.set_fractal_octaves(1.0);
Vector<real_t> fractal_octaves_1_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_octaves_1_3d = get_noise_samples_3d(noise);
noise.set_fractal_octaves(8.0);
Vector<real_t> fractal_octaves_2_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_octaves_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(fractal_octaves_1_2d, fractal_octaves_2_2d));
CHECK_FALSE(all_equal_approx(fractal_octaves_1_3d, fractal_octaves_2_3d));
}
SUBCASE("Different lacunarity should produce different results") {
noise.set_fractal_lacunarity(1.0);
Vector<real_t> fractal_lacunarity_1_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_lacunarity_1_3d = get_noise_samples_3d(noise);
noise.set_fractal_lacunarity(2.0);
Vector<real_t> fractal_lacunarity_2_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_lacunarity_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(fractal_lacunarity_1_2d, fractal_lacunarity_2_2d));
CHECK_FALSE(all_equal_approx(fractal_lacunarity_1_3d, fractal_lacunarity_2_3d));
}
SUBCASE("Different gain should produce different results") {
noise.set_fractal_gain(0.5);
Vector<real_t> fractal_gain_1_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_gain_1_3d = get_noise_samples_3d(noise);
noise.set_fractal_gain(0.75);
Vector<real_t> fractal_gain_2_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_gain_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(fractal_gain_1_2d, fractal_gain_2_2d));
CHECK_FALSE(all_equal_approx(fractal_gain_1_3d, fractal_gain_2_3d));
}
SUBCASE("Different weights should produce different results") {
noise.set_fractal_weighted_strength(0.5);
Vector<real_t> fractal_weighted_strength_1_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_weighted_strength_1_3d = get_noise_samples_3d(noise);
noise.set_fractal_weighted_strength(0.75);
Vector<real_t> fractal_weighted_strength_2_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_weighted_strength_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(fractal_weighted_strength_1_2d, fractal_weighted_strength_2_2d));
CHECK_FALSE(all_equal_approx(fractal_weighted_strength_1_3d, fractal_weighted_strength_2_3d));
}
SUBCASE("Different ping pong strength should produce different results") {
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_PING_PONG);
noise.set_fractal_ping_pong_strength(0.5);
Vector<real_t> fractal_ping_pong_strength_1_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_ping_pong_strength_1_3d = get_noise_samples_3d(noise);
noise.set_fractal_ping_pong_strength(0.75);
Vector<real_t> fractal_ping_pong_strength_2_2d = get_noise_samples_2d(noise);
Vector<real_t> fractal_ping_pong_strength_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(fractal_ping_pong_strength_1_2d, fractal_ping_pong_strength_2_2d));
CHECK_FALSE(all_equal_approx(fractal_ping_pong_strength_1_3d, fractal_ping_pong_strength_2_3d));
}
}
TEST_CASE("[FastNoiseLite] Cellular noise") {
FastNoiseLite noise;
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_NONE);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_CELLULAR);
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_EUCLIDEAN);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE);
noise.set_frequency(1.0);
SUBCASE("Different distance functions should produce different results") {
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_EUCLIDEAN);
Vector<real_t> cellular_distance_function_euclidean_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_distance_function_euclidean_3d = get_noise_samples_3d(noise);
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_EUCLIDEAN_SQUARED);
Vector<real_t> cellular_distance_function_euclidean_squared_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_distance_function_euclidean_squared_3d = get_noise_samples_3d(noise);
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_MANHATTAN);
Vector<real_t> cellular_distance_function_manhattan_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_distance_function_manhattan_3d = get_noise_samples_3d(noise);
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_HYBRID);
Vector<real_t> cellular_distance_function_hybrid_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_distance_function_hybrid_3d = get_noise_samples_3d(noise);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(cellular_distance_function_euclidean_2d,
cellular_distance_function_euclidean_squared_2d,
cellular_distance_function_manhattan_2d,
cellular_distance_function_hybrid_2d);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(cellular_distance_function_euclidean_3d,
cellular_distance_function_euclidean_squared_3d,
cellular_distance_function_manhattan_3d,
cellular_distance_function_hybrid_3d);
}
SUBCASE("Different return function types should produce different results") {
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_CELL_VALUE);
Vector<real_t> cellular_return_type_cell_value_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_cell_value_3d = get_noise_samples_3d(noise);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE);
Vector<real_t> cellular_return_type_distance_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_distance_3d = get_noise_samples_3d(noise);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE2);
Vector<real_t> cellular_return_type_distance2_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_distance2_3d = get_noise_samples_3d(noise);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE2_ADD);
Vector<real_t> cellular_return_type_distance2_add_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_distance2_add_3d = get_noise_samples_3d(noise);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE2_SUB);
Vector<real_t> cellular_return_type_distance2_sub_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_distance2_sub_3d = get_noise_samples_3d(noise);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE2_MUL);
Vector<real_t> cellular_return_type_distance2_mul_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_distance2_mul_3d = get_noise_samples_3d(noise);
noise.set_cellular_return_type(FastNoiseLite::CellularReturnType::RETURN_DISTANCE2_DIV);
Vector<real_t> cellular_return_type_distance2_div_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_return_type_distance2_div_3d = get_noise_samples_3d(noise);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(cellular_return_type_cell_value_2d,
cellular_return_type_distance_2d,
cellular_return_type_distance2_2d,
cellular_return_type_distance2_add_2d,
cellular_return_type_distance2_sub_2d,
cellular_return_type_distance2_mul_2d,
cellular_return_type_distance2_div_2d);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(cellular_return_type_cell_value_3d,
cellular_return_type_distance_3d,
cellular_return_type_distance2_3d,
cellular_return_type_distance2_add_3d,
cellular_return_type_distance2_sub_3d,
cellular_return_type_distance2_mul_3d,
cellular_return_type_distance2_div_3d);
}
SUBCASE("Different cellular jitter should produce different results") {
noise.set_cellular_jitter(0.0);
Vector<real_t> cellular_jitter_1_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_jitter_1_3d = get_noise_samples_3d(noise);
noise.set_cellular_jitter(0.5);
Vector<real_t> cellular_jitter_2_2d = get_noise_samples_2d(noise);
Vector<real_t> cellular_jitter_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(cellular_jitter_1_2d, cellular_jitter_2_2d));
CHECK_FALSE(all_equal_approx(cellular_jitter_1_3d, cellular_jitter_2_3d));
}
}
TEST_CASE("[FastNoiseLite] Domain warp") {
FastNoiseLite noise;
noise.set_frequency(1.0);
noise.set_domain_warp_amplitude(200.0);
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_SIMPLEX);
noise.set_domain_warp_enabled(true);
SUBCASE("Different domain warp types should produce different results") {
noise.set_domain_warp_type(FastNoiseLite::DomainWarpType::DOMAIN_WARP_SIMPLEX);
Vector<real_t> domain_warp_type_simplex_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_type_simplex_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_type(FastNoiseLite::DomainWarpType::DOMAIN_WARP_SIMPLEX_REDUCED);
Vector<real_t> domain_warp_type_simplex_reduced_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_type_simplex_reduced_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_type(FastNoiseLite::DomainWarpType::DOMAIN_WARP_BASIC_GRID);
Vector<real_t> domain_warp_type_basic_grid_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_type_basic_grid_3d = get_noise_samples_3d(noise);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(domain_warp_type_simplex_2d,
domain_warp_type_simplex_reduced_2d,
domain_warp_type_basic_grid_2d);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(domain_warp_type_simplex_3d,
domain_warp_type_simplex_reduced_3d,
domain_warp_type_basic_grid_3d);
}
SUBCASE("Different domain warp amplitude should produce different results") {
noise.set_domain_warp_amplitude(0.0);
Vector<real_t> domain_warp_amplitude_1_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_amplitude_1_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_amplitude(100.0);
Vector<real_t> domain_warp_amplitude_2_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_amplitude_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(domain_warp_amplitude_1_2d, domain_warp_amplitude_2_2d));
CHECK_FALSE(all_equal_approx(domain_warp_amplitude_1_3d, domain_warp_amplitude_2_3d));
}
SUBCASE("Different domain warp frequency should produce different results") {
noise.set_domain_warp_frequency(0.1);
Vector<real_t> domain_warp_frequency_1_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_frequency_1_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_frequency(2.0);
Vector<real_t> domain_warp_frequency_2_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_frequency_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(domain_warp_frequency_1_2d, domain_warp_frequency_2_2d));
CHECK_FALSE(all_equal_approx(domain_warp_frequency_1_3d, domain_warp_frequency_2_3d));
}
SUBCASE("Different domain warp fractal type should produce different results") {
noise.set_domain_warp_fractal_type(FastNoiseLite::DomainWarpFractalType::DOMAIN_WARP_FRACTAL_NONE);
Vector<real_t> domain_warp_fractal_type_none_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_type_none_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_fractal_type(FastNoiseLite::DomainWarpFractalType::DOMAIN_WARP_FRACTAL_PROGRESSIVE);
Vector<real_t> domain_warp_fractal_type_progressive_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_type_progressive_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_fractal_type(FastNoiseLite::DomainWarpFractalType::DOMAIN_WARP_FRACTAL_INDEPENDENT);
Vector<real_t> domain_warp_fractal_type_independent_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_type_independent_3d = get_noise_samples_3d(noise);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(domain_warp_fractal_type_none_2d,
domain_warp_fractal_type_progressive_2d,
domain_warp_fractal_type_independent_2d);
CHECK_ARGS_APPROX_PAIRWISE_DISTINCT_VECS(domain_warp_fractal_type_none_3d,
domain_warp_fractal_type_progressive_3d,
domain_warp_fractal_type_independent_3d);
}
SUBCASE("Different domain warp fractal octaves should produce different results") {
noise.set_domain_warp_fractal_octaves(1);
Vector<real_t> domain_warp_fractal_octaves_1_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_octaves_1_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_fractal_octaves(6);
Vector<real_t> domain_warp_fractal_octaves_2_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_octaves_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(domain_warp_fractal_octaves_1_2d, domain_warp_fractal_octaves_2_2d));
CHECK_FALSE(all_equal_approx(domain_warp_fractal_octaves_1_3d, domain_warp_fractal_octaves_2_3d));
}
SUBCASE("Different domain warp fractal lacunarity should produce different results") {
noise.set_domain_warp_fractal_lacunarity(0.5);
Vector<real_t> domain_warp_fractal_lacunarity_1_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_lacunarity_1_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_fractal_lacunarity(5.0);
Vector<real_t> domain_warp_fractal_lacunarity_2_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_lacunarity_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(domain_warp_fractal_lacunarity_1_2d, domain_warp_fractal_lacunarity_2_2d));
CHECK_FALSE(all_equal_approx(domain_warp_fractal_lacunarity_1_3d, domain_warp_fractal_lacunarity_2_3d));
}
SUBCASE("Different domain warp fractal gain should produce different results") {
noise.set_domain_warp_fractal_gain(0.1);
Vector<real_t> domain_warp_fractal_gain_1_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_gain_1_3d = get_noise_samples_3d(noise);
noise.set_domain_warp_fractal_gain(0.9);
Vector<real_t> domain_warp_fractal_gain_2_2d = get_noise_samples_2d(noise);
Vector<real_t> domain_warp_fractal_gain_2_3d = get_noise_samples_3d(noise);
CHECK_FALSE(all_equal_approx(domain_warp_fractal_gain_1_2d, domain_warp_fractal_gain_2_2d));
CHECK_FALSE(all_equal_approx(domain_warp_fractal_gain_1_3d, domain_warp_fractal_gain_2_3d));
}
}
// Raw image data for the reference images used in the regression tests.
// Generated with the following code:
// for (int y = 0; y < img->get_data().size(); y++) {
// printf("0x%x,", img->get_data()[y]);
// }
const Vector<uint8_t> ref_img_1_data = { 0xff, 0xe6, 0xd2, 0xc2, 0xb7, 0xb4, 0xb4, 0xb7, 0xc2, 0xd2, 0xe6, 0xe6, 0xcb, 0xb4, 0xa1, 0x94, 0x90, 0x90, 0x94, 0xa1, 0xb4, 0xcb, 0xd2, 0xb4, 0x99, 0x82, 0x72, 0x6c, 0x6c, 0x72, 0x82, 0x99, 0xb4, 0xc2, 0xa1, 0x82, 0x65, 0x50, 0x48, 0x48, 0x50, 0x65, 0x82, 0xa1, 0xb7, 0x94, 0x72, 0x50, 0x32, 0x24, 0x24, 0x32, 0x50, 0x72, 0x94, 0xb4, 0x90, 0x6c, 0x48, 0x24, 0x0, 0x0, 0x24, 0x48, 0x6c, 0x90, 0xb4, 0x90, 0x6c, 0x48, 0x24, 0x0, 0x0, 0x24, 0x48, 0x6c, 0x90, 0xb7, 0x94, 0x72, 0x50, 0x32, 0x24, 0x24, 0x33, 0x50, 0x72, 0x94, 0xc2, 0xa1, 0x82, 0x65, 0x50, 0x48, 0x48, 0x50, 0x66, 0x82, 0xa1, 0xd2, 0xb4, 0x99, 0x82, 0x72, 0x6c, 0x6c, 0x72, 0x82, 0x99, 0xb4, 0xe6, 0xcb, 0xb4, 0xa1, 0x94, 0x90, 0x90, 0x94, 0xa1, 0xb4, 0xcc };
const Vector<uint8_t> ref_img_2_data = { 0xff, 0xe6, 0xd2, 0xc2, 0xb7, 0xb4, 0xb4, 0xb7, 0xc2, 0xd2, 0xe6, 0xe6, 0xcb, 0xb4, 0xa1, 0x94, 0x90, 0x90, 0x94, 0xa1, 0xb4, 0xcb, 0xd2, 0xb4, 0x99, 0x82, 0x72, 0x6c, 0x6c, 0x72, 0x82, 0x99, 0xb4, 0xc2, 0xa1, 0x82, 0x65, 0x50, 0x48, 0x48, 0x50, 0x65, 0x82, 0xa1, 0xb7, 0x94, 0x72, 0x50, 0x32, 0x24, 0x24, 0x32, 0x50, 0x72, 0x94, 0xb4, 0x90, 0x6c, 0x48, 0x24, 0x0, 0x0, 0x24, 0x48, 0x6c, 0x90, 0xb4, 0x90, 0x6c, 0x48, 0x24, 0x0, 0x0, 0x24, 0x48, 0x6c, 0x90, 0xb7, 0x94, 0x72, 0x50, 0x32, 0x24, 0x24, 0x33, 0x50, 0x72, 0x94, 0xc2, 0xa1, 0x82, 0x65, 0x50, 0x48, 0x48, 0x50, 0x66, 0x82, 0xa1, 0xd2, 0xb4, 0x99, 0x82, 0x72, 0x6c, 0x6c, 0x72, 0x82, 0x99, 0xb4, 0xe6, 0xcb, 0xb4, 0xa1, 0x94, 0x90, 0x90, 0x94, 0xa1, 0xb4, 0xcc };
const Vector<uint8_t> ref_img_3_data = { 0xff, 0xe6, 0xd2, 0xc2, 0xb7, 0xb4, 0xb4, 0xb7, 0xc2, 0xd2, 0xe6, 0xe6, 0xcb, 0xb4, 0xa1, 0x94, 0x90, 0x90, 0x94, 0xa1, 0xb4, 0xcb, 0xd2, 0xb4, 0x99, 0x82, 0x72, 0x6c, 0x6c, 0x72, 0x82, 0x99, 0xb4, 0xc2, 0xa1, 0x82, 0x65, 0x50, 0x48, 0x48, 0x50, 0x65, 0x82, 0xa1, 0xb7, 0x94, 0x72, 0x50, 0x32, 0x24, 0x24, 0x32, 0x50, 0x72, 0x94, 0xb4, 0x90, 0x6c, 0x48, 0x24, 0x0, 0x0, 0x24, 0x48, 0x6c, 0x90, 0xb4, 0x90, 0x6c, 0x48, 0x24, 0x0, 0x0, 0x24, 0x48, 0x6c, 0x90, 0xb7, 0x94, 0x72, 0x50, 0x32, 0x24, 0x24, 0x33, 0x50, 0x72, 0x94, 0xc2, 0xa1, 0x82, 0x65, 0x50, 0x48, 0x48, 0x50, 0x66, 0x82, 0xa1, 0xd2, 0xb4, 0x99, 0x82, 0x72, 0x6c, 0x6c, 0x72, 0x82, 0x99, 0xb4, 0xe6, 0xcb, 0xb4, 0xa1, 0x94, 0x90, 0x90, 0x94, 0xa1, 0xb4, 0xcc };
// Utiliy function to compare two images pixel by pixel (for easy debugging of regressions)
void compare_image_with_reference(const Ref<Image> &p_img, const Ref<Image> &p_reference_img) {
for (int y = 0; y < p_img->get_height(); y++) {
for (int x = 0; x < p_img->get_width(); x++) {
CHECK(p_img->get_pixel(x, y) == p_reference_img->get_pixel(x, y));
}
}
}
TEST_CASE("[FastNoiseLite] Generating seamless 2D images (11x11px) and compare to reference images") {
FastNoiseLite noise;
noise.set_noise_type(FastNoiseLite::NoiseType::TYPE_CELLULAR);
noise.set_fractal_type(FastNoiseLite::FractalType::FRACTAL_NONE);
noise.set_cellular_distance_function(FastNoiseLite::CellularDistanceFunction::DISTANCE_EUCLIDEAN);
noise.set_frequency(0.1);
noise.set_cellular_jitter(0.0);
SUBCASE("Blend skirt 0.0") {
Fix compatibility breakage from adding NoiseTexture3D Also optimize some of the Noise methods
2023-04-28 22:19:42 +02:00
Ref<Image> img = noise.get_seamless_image(11, 11, false, false, 0.0);
Add tests for FastNoiseLite/NoiseTexture + fix some issues with seamless noise generation
2023-01-06 02:46:08 +01:00
Ref<Image> ref_img_1 = memnew(Image);
ref_img_1->set_data(11, 11, false, Image::FORMAT_L8, ref_img_1_data);
compare_image_with_reference(img, ref_img_1);
}
SUBCASE("Blend skirt 0.1") {
Fix compatibility breakage from adding NoiseTexture3D Also optimize some of the Noise methods
2023-04-28 22:19:42 +02:00
Ref<Image> img = noise.get_seamless_image(11, 11, false, false, 0.1);
Add tests for FastNoiseLite/NoiseTexture + fix some issues with seamless noise generation
2023-01-06 02:46:08 +01:00
Ref<Image> ref_img_2 = memnew(Image);
ref_img_2->set_data(11, 11, false, Image::FORMAT_L8, ref_img_2_data);
compare_image_with_reference(img, ref_img_2);
}
SUBCASE("Blend skirt 1.0") {
Fix compatibility breakage from adding NoiseTexture3D Also optimize some of the Noise methods
2023-04-28 22:19:42 +02:00
Ref<Image> img = noise.get_seamless_image(11, 11, false, false, 0.1);
Add tests for FastNoiseLite/NoiseTexture + fix some issues with seamless noise generation
2023-01-06 02:46:08 +01:00
Ref<Image> ref_img_3 = memnew(Image);
ref_img_3->set_data(11, 11, false, Image::FORMAT_L8, ref_img_3_data);
compare_image_with_reference(img, ref_img_3);
}
}
} //namespace TestFastNoiseLite
#endif // TEST_FASTNOISE_LITE_H
Reference in a new issue Copy permalink