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));
    }
  }
Пример #3
0
  /**
   * 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();
 }