/******************************************************************************* * Copyright 2019 See AUTHORS file. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. ******************************************************************************/ package com.talosvfx.talos.runtime.modules; import com.badlogic.gdx.utils.Json; import com.badlogic.gdx.utils.JsonValue; import com.talosvfx.talos.runtime.ScopePayload; import com.talosvfx.talos.runtime.utils.DistributedRandom; import com.talosvfx.talos.runtime.values.NumericalValue; import java.util.Random; public class RandomRangeModule extends AbstractModule { public static final int MIN_INPUT = 0; public static final int MAX_INPUT = 1; public static final int OUTPUT = 0; NumericalValue minInput; NumericalValue maxInput; NumericalValue output; private float min = 1, max = 1; private Random random = new Random(); private DistributedRandom distributedRandom = new DistributedRandom(); private boolean distributed = false; @Override protected void defineSlots() { minInput = createInputSlot(MIN_INPUT); maxInput = createInputSlot(MAX_INPUT); output = createOutputSlot(OUTPUT); } @Override public void processValues() { // what's worse, keeping thousands of long values, or keeping floats but casting 1000 times to long? // I'll leave the answer to the reader long seed = (long) (getScope().getFloat(ScopePayload.PARTICLE_SEED) * 10000 * (index+1) * 1000); float startPos; if(!distributed) { random.setSeed(seed); startPos = random.nextFloat(); } else { distributedRandom.setSeed((int) (10000 * (index+1))); startPos = distributedRandom.nextFloat(); } float min = this.min; float max = this.max; if(!minInput.isEmpty()) min = minInput.getFloat(); if(!maxInput.isEmpty()) max = maxInput.getFloat(); float res = min + (max - min) * startPos; output.set(res); } public void setMinMax(float min, float max) { this.min = min; this.max = max; } public float getMin() { return min; } public float getMax() { return max; } public NumericalValue getOutputValue() { return output; } @Override public void write (Json json) { super.write(json); json.writeValue("min", min); json.writeValue("max", max); json.writeValue("distributed", distributed); } @Override public void read (Json json, JsonValue jsonData) { super.read(json, jsonData); min = jsonData.getFloat("min", 0); max = jsonData.getFloat("max", 0); distributed = jsonData.getBoolean("distributed", false); } public boolean isDistributed () { return distributed; } public void setDistributed (boolean checked) { distributed = checked; } }