EndGrowFn.java

package edu.stanford.nlp.sempre.tables.grow;

import edu.stanford.nlp.sempre.*;
import edu.stanford.nlp.sempre.tables.ScopedFormula;
import fig.basic.*;

/**
 * Mapping(s, r) ==> f(s, r)
 *
 * @author ppasupat
 */
public class EndGrowFn extends SemanticFn {
  public static class Options {
    @Option(gloss = "verbosity") public int verbose = 0;
  }
  public static Options opts = new Options();

  Formula formula;

  public void init(LispTree tree) {
    super.init(tree);
    formula = Formulas.fromLispTree(tree.child(1));
    if (!(formula instanceof LambdaFormula) || !(((LambdaFormula) formula).body instanceof LambdaFormula))
      throw new RuntimeException("Function for EndGrowFn must take 2 arguments (a set s and a relation r)");
  }

  public Formula getFormula() {
    return formula;
  }

  @Override
  public DerivationStream call(Example ex, Callable c) {
    return new SingleDerivationStream() {
      @Override
      public Derivation createDerivation() {
        if (c.getChildren().size() != 1)
          throw new RuntimeException("Wrong number of argument: expected 1; got " + c.getChildren().size());
        if (!(c.child(0).formula instanceof ScopedFormula))
          throw new RuntimeException("Wrong argument type: expected ScopedFormula; got " + c.child(0).formula);
        ScopedFormula scoped = (ScopedFormula) c.child(0).formula;
        Formula result = formula;
        result = Formulas.lambdaApply((LambdaFormula) result, scoped.head);
        result = Formulas.lambdaApply((LambdaFormula) result, scoped.relation);
        return new Derivation.Builder().withCallable(c)
            .formula(result).type(TypeInference.inferType(result)).createDerivation();
      }
    };
  }
}