com.talosvfx.talos.runtime.modules.RandomRangeModule Maven / Gradle / Ivy
/*******************************************************************************
* 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;
}
}