mirror of
https://github.com/Jozufozu/Flywheel.git
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a42c027b6f
- Fix Resources not being closed properly - Change versioning scheme to match Create - Add LICENSE to built jar - Fix mods.toml version sync - Move JOML code to non-src directory - Update Gradle - Organize imports
94 lines
3.6 KiB
Java
94 lines
3.6 KiB
Java
/*
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* The MIT License
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*
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* Copyright (c) 2016-2021 JOML
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* 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, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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package com.jozufozu.flywheel.repack.joml.sampling;
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import com.jozufozu.flywheel.repack.joml.Random;
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/**
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* Creates samples on a unit quad using an NxN strata grid.
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*
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* @author Kai Burjack
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*/
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public class StratifiedSampling {
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private final Random rnd;
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/**
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* Create a new instance of {@link StratifiedSampling} and initialize the random number generator with the given
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* <code>seed</code>.
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*
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* @param seed
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* the seed to initialize the random number generator with
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*/
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public StratifiedSampling(long seed) {
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this.rnd = new Random(seed);
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}
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/**
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* Generate <code>n * n</code> random sample positions in the unit square of <code>x, y = [-1..+1]</code>.
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* <p>
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* Each sample within its stratum is distributed randomly.
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*
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* @param n
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* the number of strata in each dimension
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* @param callback
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* will be called for each generated sample position
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*/
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public void generateRandom(int n, Callback2d callback) {
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for (int y = 0; y < n; y++) {
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for (int x = 0; x < n; x++) {
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float sampleX = (rnd.nextFloat() / n + (float) x / n) * 2.0f - 1.0f;
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float sampleY = (rnd.nextFloat() / n + (float) y / n) * 2.0f - 1.0f;
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callback.onNewSample(sampleX, sampleY);
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}
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}
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}
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/**
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* Generate <code>n * n</code> random sample positions in the unit square of <code>x, y = [-1..+1]</code>.
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* <p>
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* Each sample within its stratum is confined to be within <code>[-centering/2..1-centering]</code> of its stratum.
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*
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* @param n
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* the number of strata in each dimension
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* @param centering
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* determines how much the random samples in each stratum are confined to be near the center of the
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* stratum. Possible values are <code>[0..1]</code>
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* @param callback
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* will be called for each generated sample position
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*/
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public void generateCentered(int n, float centering, Callback2d callback) {
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float start = centering * 0.5f;
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float end = 1.0f - centering;
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for (int y = 0; y < n; y++) {
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for (int x = 0; x < n; x++) {
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float sampleX = ((start + rnd.nextFloat() * end) / n + (float) x / n) * 2.0f - 1.0f;
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float sampleY = ((start + rnd.nextFloat() * end) / n + (float) y / n) * 2.0f - 1.0f;
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callback.onNewSample(sampleX, sampleY);
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}
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}
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}
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}
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