public void Apply(ItemStack applyitem) {
if (Enchantprobabilities.size() == 0) return; // no enchants to choose from.
// otherwise, simplez. create an array of floats and a corresponding array of
// EnchantmentAssignmentData's...
// System.out.println("Applying enchantment. Choosing from " + Enchantprobabilities.size());
preCache();
// now, use the infamous Choose routine...
Enchantment useenchant = null;
EnchantmentAssignmentData chosen = null;
chosen = RandomData.Choose(enchantdata, cacheprobabilities);
if (chosen == null) return; // no enchant selected.
useenchant = EnchantmentMapping.get(chosen.getName());
// System.out.println("chosen enchant:" + useenchant.getName());
if (useenchant == null) {
// System.out.println("Null enchantment....");
return;
}
if (!applyitem.containsEnchantment(useenchant)) {
applyitem.addUnsafeEnchantment(useenchant, chosen.getLevel());
}
}
@Test
public void testRandomDataList() {
List<Integer> a = RandomData.randomDataList4();
for (int i = 0; i < 50; i++) {
System.out.println(i + ":" + a.get(i));
}
}
/**
* Generates a random value from this distribution.
*
* @return the random value.
* @throws IllegalStateException if the distribution has not been loaded
*/
public double getNextValue() throws IllegalStateException {
if (!loaded) {
throw MathRuntimeException.createIllegalStateException("distribution not loaded");
}
// Start with a uniformly distributed random number in (0,1)
double x = Math.random();
// Use this to select the bin and generate a Gaussian within the bin
for (int i = 0; i < binCount; i++) {
if (x <= upperBounds[i]) {
SummaryStatistics stats = binStats.get(i);
if (stats.getN() > 0) {
if (stats.getStandardDeviation() > 0) { // more than one obs
return randomData.nextGaussian(stats.getMean(), stats.getStandardDeviation());
} else {
return stats.getMean(); // only one obs in bin
}
}
}
}
throw new MathRuntimeException("no bin selected");
}
@Test
public void testRandom5() {
RandomData.radomList5();
}
@Test
public void testRandomData() {
RandomData.randomData();
}