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godot/modules/noise/tests/test_fastnoise_lite.h

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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 */
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/* "Software"), to deal in the Software without restriction, including */
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/* the following conditions: */
/* */
/* The above copyright notice and this permission notice shall be */
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/* */
/* 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. */
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/**************************************************************************/
#ifndef TEST_FASTNOISE_LITE_H
#define TEST_FASTNOISE_LITE_H
Style: Harmonize header includes in modules This applies our existing style guide, and adds a new rule to that style guide for modular components such as platform ports and modules: Includes from the platform port or module ("local" includes) should be listed first in their own block using relative paths, before Godot's "core" includes which use "absolute" (project folder relative) paths, and finally thirdparty includes. Includes in `#ifdef`s come after their relevant section, i.e. the overall structure is: - Local includes * Conditional local includes - Core includes * Conditional core includes - Thirdparty includes * Conditional thirdparty includes
2023-06-13 16:56:21 +02:00
#include "../fastnoise_lite.h"
Add tests for FastNoiseLite/NoiseTexture + fix some issues with seamless noise generation
2023-01-06 02:46:08 +01:00
Style: Harmonize header includes in modules This applies our existing style guide, and adds a new rule to that style guide for modular components such as platform ports and modules: Includes from the platform port or module ("local" includes) should be listed first in their own block using relative paths, before Godot's "core" includes which use "absolute" (project folder relative) paths, and finally thirdparty includes. Includes in `#ifdef`s come after their relevant section, i.e. the overall structure is: - Local includes * Conditional local includes - Core includes * Conditional core includes - Thirdparty includes * Conditional thirdparty includes
2023-06-13 16:56:21 +02:00
#include "tests/test_macros.h"
Add tests for FastNoiseLite/NoiseTexture + fix some issues with seamless noise generation
2023-01-06 02:46:08 +01:00
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 13:19:42 -07:00
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 13:19:42 -07:00
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 13:19:42 -07:00
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