@Override
public void eventOccurred(final AuctionEvent event) {
super.eventOccurred(event);
if (event instanceof SimulationStartedEvent) {
minValueDist =
new Uniform(
generator.getMinValueMin(),
generator.getMinValueMax(),
Galaxy.getInstance().getDefaultTyped(GlobalPRNG.class).getEngine());
rangeDist =
new Uniform(
generator.getRangeMin(),
generator.getRangeMax(),
Galaxy.getInstance().getDefaultTyped(GlobalPRNG.class).getEngine());
} else if (event instanceof GameStartingEvent) {
final double minValue = minValueDist.nextDouble();
final double maxValue = minValue + rangeDist.nextDouble();
setDistribution(
new Uniform(
minValue,
maxValue,
Galaxy.getInstance().getDefaultTyped(GlobalPRNG.class).getEngine()));
drawRandomValue();
}
}
protected AbstractDistribution createDistribution() {
AbstractDistribution dist = null;
try {
// NOTE: cloning the template distribution is not used before it will
// cause all generated distributions to have a random engine in the same
// situation and thus generate the same random numbers.
if (distribution != null) {
dist = distribution.getClass().newInstance();
if (dist instanceof StateCopyable) {
((StateCopyable) dist).copyStateFrom(distribution);
} else {
dist = null;
}
}
} catch (final InstantiationException e) {
e.printStackTrace();
dist = null;
} catch (final IllegalAccessException e) {
e.printStackTrace();
dist = null;
}
if (dist == null) {
dist =
new Uniform(
minValue,
maxValue,
Galaxy.getInstance().getTyped(Game.P_CAT, GlobalPRNG.class).getEngine());
}
return dist;
}
public void setup(final ParameterDatabase parameters, final Parameter base) {
final Parameter defBase = new Parameter(RandomValuerGenerator.P_DEF_BASE);
//// Added code starts here
// defBaseNorm = new Parameter(Normal.P_DEF_BASE);
//// Added code ends here
//
minValue =
parameters.getDouble(
base.push(RandomValuerGenerator.P_MINVALUE),
defBase.push(RandomValuerGenerator.P_MINVALUE),
0);
maxValue =
parameters.getDouble(
base.push(RandomValuerGenerator.P_MAXVALUE),
defBase.push(RandomValuerGenerator.P_MAXVALUE),
minValue);
try {
distribution =
parameters.getInstanceForParameterEq(
base.push(RandomValuerGenerator.P_DISTRIBUTION),
defBase.push(RandomValuerGenerator.P_DISTRIBUTION),
AbstractDistribution.class);
if (distribution instanceof Parameterizable) {
((Parameterizable) distribution)
.setup(parameters, base.push(RandomValuerGenerator.P_DISTRIBUTION));
}
} catch (final ParamClassLoadException e) {
distribution =
new Uniform(
minValue,
maxValue,
Galaxy.getInstance().getDefaultTyped(GlobalPRNG.class).getEngine());
}
checkDistribution(distribution);
}
