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/*
* Copyright (C) 2003, 2004 Jason Bevins (original libnoise code)
* Copyright 2010 Thomas J. Hodge (java port of libnoise)
*
* This file is part of libnoiseforjava.
*
* libnoiseforjava is a Java port of the C++ library libnoise, which may be found at
* http://libnoise.sourceforge.net/. libnoise was developed by Jason Bevins, who may be
* contacted at jlbezigvins@gmzigail.com (for great email, take off every 'zig').
* Porting to Java was done by Thomas Hodge, who may be contacted at
* libnoisezagforjava@gzagmail.com (remove every 'zag').
*
* libnoiseforjava is free software: you can redistribute it and/or modify it
* under the terms of the GNU General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any later version.
*
* libnoiseforjava is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* libnoiseforjava. If not, see <http://www.gnu.org/licenses/>.
*
*/
package libnoiseforjava.module;
import libnoiseforjava.exception.ExceptionInvalidParam;
public class ScaleBias extends ModuleBase
{
/// Noise module that applies a scaling factor and a bias to the output
/// value from a source module.
///
/// The getValue() method retrieves the output value from the source
/// module, multiplies it with a scaling factor, adds a bias to it, then
/// outputs the value.
///
/// This noise module requires one source module.
/// Default bias for the ScaleBias noise module.
static final double DEFAULT_BIAS = 0.0;
/// Default scale for the ScaleBias noise module.
static final double DEFAULT_SCALE = 1.0;
/// Bias to apply to the scaled output value from the source module.
double bias;
/// Scaling factor to apply to the output value from the source
/// module.
double scale;
public ScaleBias (ModuleBase sourceModule) throws ExceptionInvalidParam
{
super(1);
setSourceModule(0, sourceModule);
bias = DEFAULT_BIAS;
scale = DEFAULT_SCALE;
}
public double getValue (double x, double y, double z)
{
assert (sourceModules[0] != null);
return sourceModules[0].getValue (x, y, z) * scale + bias;
}
/// Returns the bias to apply to the scaled output value from the
/// source module.
///
/// @returns The bias to apply.
///
/// The getValue() method retrieves the output value from the source
/// module, multiplies it with the scaling factor, adds the bias to
/// it, then outputs the value.
public double getBias ()
{
return bias;
}
/// Returns the scaling factor to apply to the output value from the
/// source module.
///
/// @returns The scaling factor to apply.
///
/// The getValue() method retrieves the output value from the source
/// module, multiplies it with the scaling factor, adds the bias to
/// it, then outputs the value.
public double getScale ()
{
return scale;
}
/// Sets the bias to apply to the scaled output value from the source
/// module.
///
/// @param bias The bias to apply.
///
/// The getValue() method retrieves the output value from the source
/// module, multiplies it with the scaling factor, adds the bias to
/// it, then outputs the value.
public void setBias (double bias)
{
this.bias = bias;
}
/// Sets the scaling factor to apply to the output value from the
/// source module.
///
/// @param scale The scaling factor to apply.
///
/// The getValue() method retrieves the output value from the source
/// module, multiplies it with the scaling factor, adds the bias to
/// it, then outputs the value.
public void setScale (double scale)
{
this.scale = scale;
}
}
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