Examples of java.util.Vector

java.util.Vector
The {@code Vector} class implements a growable array ofobjects. Like an array, it contains components that can be accessed using an integer index. However, the size of a {@code Vector} can grow or shrink as needed to accommodateadding and removing items after the {@code Vector} has been created.
Each vector tries to optimize storage management by maintaining a {@code capacity} and a {@code capacityIncrement}. The {@code capacity} is always at least as large as the vectorsize; it is usually larger because as components are added to the vector, the vector's storage increases in chunks the size of {@code capacityIncrement}. An application can increase the capacity of a vector before inserting a large number of components; this reduces the amount of incremental reallocation.
The Iterators returned by Vector's iterator and listIterator methods are fail-fast: if the Vector is structurally modified at any time after the Iterator is created, in any way except through the Iterator's own remove or add methods, the Iterator will throw a ConcurrentModificationException. Thus, in the face of concurrent modification, the Iterator fails quickly and cleanly, rather than risking arbitrary, non-deterministic behavior at an undetermined time in the future. The Enumerations returned by Vector's elements method are not fail-fast.
Note that the fail-fast behavior of an iterator cannot be guaranteed as it is, generally speaking, impossible to make any hard guarantees in the presence of unsynchronized concurrent modification. Fail-fast iterators throw {@code ConcurrentModificationException} on a best-effort basis.Therefore, it would be wrong to write a program that depended on this exception for its correctness: the fail-fast behavior of iterators should be used only to detect bugs.
As of the Java 2 platform v1.2, this class was retrofitted to implement the {@link List} interface, making it a member of the Java Collections Framework. Unlike the new collection implementations, {@code Vector} is synchronized. @author Lee Boynton @author Jonathan Payne @version 1.106, 06/16/06 @see Collection @see List @see ArrayList @see LinkedList @since JDK1.0

   * Returns an enumeration of any additional measure names that might be
   * in the classifier
   * @return an enumeration of the measure names
   */
  public Enumeration enumerateMeasures() {
    Vector newVector = new Vector();
    if (m_Template instanceof AdditionalMeasureProducer) {
      Enumeration en = ((AdditionalMeasureProducer)m_Template).
  enumerateMeasures();
      while (en.hasMoreElements()) {
  String mname = (String)en.nextElement();
  newVector.addElement(mname);
      }
    }
    return newVector.elements();
  }

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        Instances tempHeader = null;
        // KOML ?
        if ((KOML.isPresent()) &&
            (loadFrom.getAbsolutePath().toLowerCase().
             endsWith(KOML.FILE_EXTENSION + FILE_EXTENSION))) {
          Vector v = (Vector) KOML.read(loadFrom.getAbsolutePath());
          temp = (weka.classifiers.Classifier) v.elementAt(0);
          if (v.size() == 2) {
            // try and grab the header
            tempHeader = (Instances) v.elementAt(1);
          }
        } /* XStream */ else if ((XStream.isPresent()) &&
                                 (loadFrom.getAbsolutePath().toLowerCase().
                                  endsWith(XStream.FILE_EXTENSION + FILE_EXTENSION))) {
          Vector v = (Vector) XStream.read(loadFrom.getAbsolutePath());
          temp = (weka.classifiers.Classifier) v.elementAt(0);
          if (v.size() == 2) {
            // try and grab the header
            tempHeader = (Instances) v.elementAt(1);
          } 
        } /* binary */ else {


          ObjectInputStream is = 
            new ObjectInputStream(new BufferedInputStream(

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   * Return an enumeration of requests that can be made by the user
   *
   * @return an <code>Enumeration</code> value
   */
  public Enumeration enumerateRequests() {
    Vector newVector = new Vector(0);
    if (m_executorPool != null && 
        (m_executorPool.getQueue().size() > 0 || 
            m_executorPool.getActiveCount() > 0)) {
      newVector.addElement("Stop");
    }


    if ((m_executorPool == null || 
        (m_executorPool.getQueue().size() == 0 && 
            m_executorPool.getActiveCount() == 0)) && 
        m_Classifier != null) {
      newVector.addElement("Save model");
    }


    if (m_executorPool == null || 
        (m_executorPool.getQueue().size() == 0 && 
            m_executorPool.getActiveCount() == 0)) {
      newVector.addElement("Load model");
    }
    return newVector.elements();
  }

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   *
   * @return an enumeration of the measure names
   */
  public Enumeration enumerateMeasures() {
    
    Vector newVector = new Vector(1);
    newVector.addElement("measureOutOfBagError");
    return newVector.elements();
  }

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   *
   * @return an enumeration of all the available options
   */
  public Enumeration listOptions() {
    
    Vector newVector = new Vector();


    newVector.addElement(new Option(
  "\tNumber of trees to build.",
  "I", 1, "-I <number of trees>"));
    
    newVector.addElement(new Option(
  "\tNumber of features to consider (<1=int(logM+1)).",
  "K", 1, "-K <number of features>"));
    
    newVector.addElement(new Option(
  "\tSeed for random number generator.\n"
  + "\t(default 1)",
  "S", 1, "-S"));


    newVector.addElement(new Option(
  "\tThe maximum depth of the trees, 0 for unlimited.\n"
  + "\t(default 0)",
  "depth", 1, "-depth <num>"));


    Enumeration enu = super.listOptions();
    while (enu.hasMoreElements()) {
      newVector.addElement(enu.nextElement());
    }


    return newVector.elements();
  }

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   * Gets the current settings of the forest.
   *
   * @return an array of strings suitable for passing to setOptions()
   */
  public String[] getOptions() {
    Vector        result;
    String[]      options;
    int           i;
    
    result = new Vector();
    
    result.add("-I");
    result.add("" + getNumTrees());
    
    result.add("-K");
    result.add("" + getNumFeatures());
    
    result.add("-S");
    result.add("" + getSeed());
    
    if (getMaxDepth() > 0) {
      result.add("-depth");
      result.add("" + getMaxDepth());
    }
    
    options = super.getOptions();
    for (i = 0; i < options.length; i++)
      result.add(options[i]);
    
    return (String[]) result.toArray(new String[result.size()]);
  }

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   *
   * @return an enumeration of all the available options.
   */
  public Enumeration listOptions() {


    Vector newVector = new Vector(1);


    newVector.addElement(new Option(
       "\tThe full class name of the classifier.\n"
        +"\teg: weka.classifiers.bayes.NaiveBayes", 
       "W", 1, 
       "-W <class name>"));


    if ((m_Template != null) &&
  (m_Template instanceof OptionHandler)) {
      newVector.addElement(new Option(
       "",
       "", 0, "\nOptions specific to classifier "
       + m_Template.getClass().getName() + ":"));
      Enumeration enu = ((OptionHandler)m_Template).listOptions();
      while (enu.hasMoreElements()) {
  newVector.addElement(enu.nextElement());
      }
    }
    return newVector.elements();
  }

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   * Returns an enumeration of any additional measure names that might be
   * in the classifier
   * @return an enumeration of the measure names
   */
  public Enumeration enumerateMeasures() {
    Vector newVector = new Vector();
    if (m_Template instanceof AdditionalMeasureProducer) {
      Enumeration en = ((AdditionalMeasureProducer)m_Template).
  enumerateMeasures();
      while (en.hasMoreElements()) {
  String mname = (String)en.nextElement();
  newVector.addElement(mname);
      }
    }
    return newVector.elements();
  }

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    public Neighbour selectNeighbour(Solution solution) {
        Model model = solution.getModel();
        if (iVarEn==null) {
            iVarEn = new RandomEnumeration(model.variables(), iRandomOrder);
            iVariable = (Variable)iVarEn.nextElement();
            Vector v2 = new Vector(iVariable.values().size()+model.variables().size());
            if (iAllowSwaps && iVariable instanceof Swapable)
                v2.addAll(model.variables());
            v2.addAll(iVariable.values());
            iValEn = new RandomEnumeration(v2, iRandomOrder);
        }
        SimpleNeighbour n = null;
        if (!iValEn.hasMoreElements()) {
            if (!iVarEn.hasMoreElements()) {
                iVarEn = new RandomEnumeration(model.variables(), iRandomOrder);
            }
            iVariable = (Variable)iVarEn.nextElement();
            Vector v2 = new Vector(iVariable.values().size()+model.variables().size());
            if (iAllowSwaps && iVariable instanceof Swapable)
                v2.addAll(model.variables());
            v2.addAll(iVariable.values());
            iValEn = new RandomEnumeration(v2, iRandomOrder);
        }
        Object object = iValEn.nextElement();
        if (object instanceof Variable) {
            Variable anotherVariable = (Variable)ToolBox.random(model.variables());

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         **/
        public RandomEnumeration(Vector collection, boolean randomOrder) {
            if (!randomOrder) {
                iEnum = collection.elements();
            } else {
                Vector vect = new Vector(collection);
                Collections.shuffle(vect, ToolBox.getRandom());
                iEnum = vect.elements();
            }
        }

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