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The Berkeley parser analyzes the grammatical structure of natural language using probabilistic context-free grammars (PCFGs).

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package edu.berkeley.nlp.util;

import java.util.*;

public class NumUtils {
  // This random stuff should be deprecated.  DON'T USE IT!
  @Deprecated
  private static Random random = new Random();
  @Deprecated
  public static Random getRandom() { return random; }
  @Deprecated
  public static void setRandom(long seed) { setRandom(new Random(seed)); }
  @Deprecated
  public static void setRandom(Random random) { NumUtils.random = random; }
  @Deprecated
  public static double randDouble() { return random.nextDouble(); }
  @Deprecated
  public static int randInt(int n) { return random.nextInt(n); }
  @Deprecated
  public static boolean randBernoulli(double p) { return random.nextDouble() < p; }
  @Deprecated
  public static int randMultinomial(double[] probs, Random random) {
    double v = random.nextDouble();
    double sum = 0;
    for(int i = 0; i < probs.length; i++) {
      sum += probs[i];
      if(v < sum) return i;
    }
    throw new RuntimeException(sum + " < " + v);
  }
  @Deprecated
  public static int randMultinomial(double[] probs) {
    return randMultinomial(probs, random);
  }

  public static boolean isFinite(double x) { return !Double.isNaN(x) && !Double.isInfinite(x); }
  public static void assertIsFinite(double x) { assert isFinite(x): "Not finite: " + x; }
  public static void assertIsFinite(double[] xs) { for(double x : xs) assert isFinite(x): "Not finite: " + Fmt.D(xs); }
  public static void assertIsFinite(double[][] xss) { for(double[] xs : xss) for(double x : xs) assert isFinite(x): "Not finite: " + Fmt.D(xss); }
  public static boolean isProb(double x) { return x >= 0 && x <= 1 && !Double.isNaN(x); }
  public static void assertIsProb(double x) { assert isProb(x): "Not a probability [0, 1]: " + x; }
  public static void assertEquals(double x, double y) { assertEquals(x, y, 1e-10); }
  public static void assertEquals(double x, double y, double tol) { assert Math.abs(x-y)© 2015 - 2025 Weber Informatics LLC | Privacy Policy