// Modifying this comment will cause the next execution of LBJ2 to overwrite this file.
// F1B88000000000000000D5D81CA02C030144F756C385A526A88743D874F71C3B8D80B0D62294A6509EFBBB94B854F2B03B333F6A5A073F62A9D2ECEC7F1ACB83FD264E351A198738C64092CCF68EC6DE0DD534C5482CDD97494C27FA048643E082A8932B1D0B347D928014513D69E5E59A2BAADA9754589EF82728CC491BE7873F42734859525666D8B286D4D794A8D7E64A905FB1D4389AF1C8D0604240E8CF5E25F9AC3D706E5402BE11100000

package LBJ2.nlp;

import LBJ2.classify.*;
import LBJ2.infer.*;
import LBJ2.jni.*;
import LBJ2.learn.*;
import LBJ2.parse.*;


/**
  * This class implements a classifier that takes a {@link Word} as input and
  * generates features representing the forms of the words in a [-2, +2]
  * window around the input word.  The generated features consist of the
  * {@link Word#form} of the input word as well as the forms of the two words
  * before the input word in the sentence and the forms of the two words after
  * the input word in the sentence.  If any of those words do not exist, the
  * corresponding feature isn't generated.
  *
  * <p> This class's implementation was automatically generated by the LBJ
  * compiler.
  *
  * @author Nick Rizzolo
 **/
public class Forms extends Classifier
{
  public Forms()
  {
    containingPackage = "LBJ2.nlp";
    name = "Forms";
  }

  public String getInputType() { return "LBJ2.nlp.Word"; }
  public String getOutputType() { return "discrete%"; }

  public FeatureVector classify(Object __example)
  {
    if (!(__example instanceof Word))
    {
      String type = __example == null ? "null" : __example.getClass().getName();
      System.err.println("Classifier 'Forms(Word)' defined on line 20 of CommonFeatures.lbj received '" + type + "' as input.");
      new Exception().printStackTrace();
      System.exit(1);
    }

    Word word = (Word) __example;

    FeatureVector __result;
    __result = new FeatureVector();
    String __id;
    String __value;

    int i;
    Word w = word, last = word;
    for (i = 0; i <= 2 && last != null; ++i)
    {
      last = (Word) last.next;
    }
    for (i = 0; i > -2 && w.previous != null; --i)
    {
      w = (Word) w.previous;
    }
    for (; w != last; w = (Word) w.next)
    {
      __id = "" + (i++);
      __value = "" + (w.form);
      __result.addFeature(new DiscretePrimitiveStringFeature(this.containingPackage, this.name, __id, __value, valueIndexOf(__value), (short) 0));
    }
    return __result;
  }

  public FeatureVector[] classify(Object[] examples)
  {
    if (!(examples instanceof Word[]))
    {
      String type = examples == null ? "null" : examples.getClass().getName();
      System.err.println("Classifier 'Forms(Word)' defined on line 20 of CommonFeatures.lbj received '" + type + "' as input.");
      new Exception().printStackTrace();
      System.exit(1);
    }

    return super.classify(examples);
  }

  public int hashCode() { return "Forms".hashCode(); }
  public boolean equals(Object o) { return o instanceof Forms; }
}