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Noise generation library for Java, based on the libnoise C++ library.
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/*
 * This file is part of Flow Noise, licensed under the MIT License (MIT).
 *
 * Copyright (c) 2013 Flow Powered 
 * Original libnoise in C++ by Jason Bevins 
 * jlibnoise Java port by Garrett Fleenor 
 *
 * 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.
 */
package com.flowpowered.noise.module.modifier;

import com.flowpowered.noise.exception.NoModuleException;
import com.flowpowered.noise.module.Module;

public class ScaleBias extends Module {
    // Default bias for the noise::module::ScaleBias noise module.
    public static final double DEFAULT_BIAS = 0.0;
    // Default scale for the noise::module::ScaleBias noise module.
    public static final double DEFAULT_SCALE = 1.0;
    // Bias to apply to the scaled output value from the source module.
    private double bias = DEFAULT_BIAS;
    // Scaling factor to apply to the output value from the source
    // module.
    private double scale = DEFAULT_SCALE;

    public ScaleBias() {
        super(1);
    }

    public double getBias() {
        return bias;
    }

    public void setBias(double bias) {
        this.bias = bias;
    }

    public double getScale() {
        return scale;
    }

    public void setScale(double scale) {
        this.scale = scale;
    }

    @Override
    public int getSourceModuleCount() {
        return 1;
    }

    @Override
    public double getValue(double x, double y, double z) {
        if (sourceModule[0] == null) {
            throw new NoModuleException();
        }

        return sourceModule[0].getValue(x, y, z) * scale + bias;
    }
}