Examples of java.util.Vector$VectorSpliterator

java.util.Vector
Similar to ArrayList Spliterator

    Hashtable                 result;
    Enumeration               enm;
    int                       i;
    StringTokenizer           tok;
    String                    clsname;
    Vector                    list;
    HierarchyPropertyParser   hpp;
    String                    separator;
    String                    root;
    String                    tmpStr;
    
    if (classes == null)
      return null;
    
    roots     = new Hashtable();
    hpp       = new HierarchyPropertyParser();
    separator = hpp.getSeperator();
    
    // go over all classnames and store them in the hashtable, with the
    // root element as the key
    tok   = new StringTokenizer(classes, ", ");
    while (tok.hasMoreElements()) {
      clsname = tok.nextToken();
      root    = getRootFromClass(clsname, separator);
      if (root == null)
        continue;
      
      // already stored?
      if (!roots.containsKey(root)) {
        list = new Vector();
        roots.put(root, list);
      }
      else {
        list = (Vector) roots.get(root);
      }
      
      list.add(clsname);
    }
    
    // build result
    result = new Hashtable();
    enm    = roots.keys();
    while (enm.hasMoreElements()) {
      root = (String) enm.nextElement();
      list = (Vector) roots.get(root);
      tmpStr = "";
      for (i = 0; i < list.size(); i++) {
        if (i > 0)
          tmpStr += ",";
        tmpStr += (String) list.get(i);
      }
      result.put(root, tmpStr);
    }
      
    return result;

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   */
  public Enumeration listOptions() {


    String string = "\tThe minimum number of objects in a bucket (default: 6).";


    Vector newVector = new Vector(1);


    newVector.addElement(new Option(string, "B", 1, 
            "-B <minimum bucket size>"));


    return newVector.elements();
  }

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   * Returns an enumeration describing the available options.
   *
   * @return     an enumeration of all the available options.
   */
  public Enumeration listOptions() {
    Vector result = new Vector();
    Enumeration enm = super.listOptions();
    while (enm.hasMoreElements())
      result.add(enm.nextElement());


    result.addElement(new Option(
        "\tA filter to apply (can be specified multiple times).",
        "F", 1, "-F <classname [options]>"));


    result.addElement(new Option(
        "\tAn attribute range (can be specified multiple times).\n"
  + "\tFor each filter a range must be supplied. 'first' and 'last'\n"
  + "\tare valid indices. 'inv(...)' around the range denotes an\n"
  + "\tinverted range.",
        "R", 1, "-R <range>"));


    result.addElement(new Option(
        "\tFlag for leaving unused attributes out of the output, by default\n"
  + "\tthese are included in the filter output.",
        "U", 0, "-U"));


    return result.elements();
  }

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   */
  public void setOptions(String[] options) throws Exception {
    String  tmpStr;
    String  classname;
    String[]  options2;
    Vector  objects;
    Range  range;


    super.setOptions(options);


    setRemoveUnused(Utils.getFlag("U", options));


    objects = new Vector();
    while ((tmpStr = Utils.getOption("F", options)).length() != 0) {
      options2    = Utils.splitOptions(tmpStr);
      classname      = options2[0];
      options2[0] = "";
      objects.add(Utils.forName(Filter.class, classname, options2));
    }


    // at least one filter
    if (objects.size() == 0)
      objects.add(new AllFilter());


    setFilters((Filter[]) objects.toArray(new Filter[objects.size()]));


    objects = new Vector();
    while ((tmpStr = Utils.getOption("R", options)).length() != 0) {
      if (tmpStr.startsWith("inv(") && tmpStr.endsWith(")")) {
  range = new Range(tmpStr.substring(4, tmpStr.length() - 1));
  range.setInvert(true);
      }
      else {
  range = new Range(tmpStr);
      }
      objects.add(range);
    }


    // at least one Range
    if (objects.size() == 0)
      objects.add(new Range("first-last"));


    setRanges((Range[]) objects.toArray(new Range[objects.size()]));


    // is number of filters the same as ranges?
    checkDimensions();
  }

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   * Gets the current settings of the filter.
   *
   * @return     an array of strings suitable for passing to setOptions
   */
  public String[] getOptions() {
    Vector  result;
    String[]  options;
    int    i;
    String  tmpStr;


    result = new Vector();


    options = super.getOptions();
    for (i = 0; i < options.length; i++)
      result.add(options[i]);


    if (getRemoveUnused())
      result.add("-U");


    for (i = 0; i < getFilters().length; i++) {
      result.add("-F");
      result.add(getFilterSpec(getFilter(i)));
    }


    for (i = 0; i < getRanges().length; i++) {
      tmpStr = getRange(i).getRanges();
      if (getRange(i).getInvert())
  tmpStr = "inv(" + tmpStr + ")";
      result.add("-R");
      result.add(tmpStr);
    }


    return (String[]) result.toArray(new String[result.size()]);
  }

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    int      index;
    Instances[]    processed;
    Instance    inst;
    Instance    newInst;
    double[]    values;
    Vector    errors;


    if (!isFirstBatchDone()) {
      checkDimensions();


      // set upper limits
      for (i = 0; i < m_Ranges.length; i++)
  m_Ranges[i].setUpper(instances.numAttributes() - 1);


      // determine unused indices
      determineUnusedIndices(instances);
    }


    // pass data through all filters
    processed = new Instances[getFilters().length];
    for (i = 0; i < getFilters().length; i++) {
      processed[i] = generateSubset(instances, getRange(i));
      if (!isFirstBatchDone())
  getFilter(i).setInputFormat(processed[i]);
      processed[i] = Filter.useFilter(processed[i], getFilter(i));
    }


    // set output format (can only be determined with full dataset, hence here)
    if (!isFirstBatchDone()) {
      result = determineOutputFormat(instances);
      setOutputFormat(result);
    }
    else {
      result = getOutputFormat();
    }


    // check whether all filters didn't change the number of instances
    errors = new Vector();
    for (i = 0; i < processed.length; i++) {
      if (processed[i].numInstances() != instances.numInstances())
  errors.add(new Integer(i));
    }
    if (errors.size() > 0)
      throw new IllegalStateException(
    "The following filter(s) changed the number of instances: " + errors);


    // assemble data
    for (i = 0; i < instances.numInstances(); i++) {

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   * Gets an enumeration describing the available options.
   *
   * @return an enumeration of all the available options.
   */
  public Enumeration listOptions(){
    Vector          result;
    Enumeration     enm;


    result = new Vector();


    enm = super.listOptions();
    while (enm.hasMoreElements())
      result.addElement(enm.nextElement());


    result.addElement(new Option(
  "\tThe file containing the serialized model.\n"
  + "\t(required)",
  "model", 1, "-model <filename>"));


    return result.elements();
  }

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   *
   * @return    the current options
   */
  public String[] getOptions(){
    int         i;
    Vector      result;
    String[]    options;


    result = new Vector();


    options = super.getOptions();
    for (i = 0; i < options.length; i++)
      result.add(options[i]);


    result.add("-model");
    result.add("" + getModelFile());


    return (String[]) result.toArray(new String[result.size()]);    
  }

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   * returns a list with the attributes
   * 
   * @return    a list of the attributes
   */
  public Vector getAttributes() {
    Vector               result;
    int                  i;
    
    result = new Vector();
    for (i = 0; i < getInstances().numAttributes(); i++)
      result.add(getInstances().attribute(i).name());
    Collections.sort(result);
    
    return result;
  }

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        }
        
        boolean acceptConflicts = solution.getModel().getBestUnassignedVariables()>0;
        Model model = solution.getModel();
        double bestEval = 0.0;
        Vector best = null;
        for (Enumeration e=model.variables().elements();e.hasMoreElements();) {
            Variable variable = (Variable)e.nextElement();
            Value assigned = variable.getAssignment();
            double assignedVal = (assigned==null?iConflictWeight:iValueWeight*assigned.toDouble());
            for (Enumeration f=variable.values().elements();f.hasMoreElements();) {
                Value value = (Value)f.nextElement();
                if (value.equals(assigned)) continue;
                double eval = iValueWeight*value.toDouble() - assignedVal;
                if (acceptConflicts) {
                    Set conflicts = model.conflictValues(value);
                    for (Iterator i=conflicts.iterator();i.hasNext();) {
                        Value conflict = (Value)i.next();
                        eval -= iValueWeight*conflict.toDouble();
                        eval += iConflictWeight * (1.0+(iStat==null?0.0:iStat.countRemovals(solution.getIteration(), conflict, value)));
                    }
                } else {
                    if (model.inConflict(value)) continue;
                }
                if (iTabu!=null && iTabu.contains(tabuElement(value))) {
                    int un = model.nrUnassignedVariables()-(assigned==null?0:1);
                    if (un>model.getBestUnassignedVariables()) continue;
                    if (un==model.getBestUnassignedVariables() && model.getTotalValue()+eval>=solution.getBestValue()) continue;
                }
                if (best==null || bestEval>eval) {
                    if (best==null)
                        best = new Vector();
                    else
                        best.clear();
                    best.add(value);
                    bestEval = eval;
                } else if (bestEval==eval) {
                    best.add(value);
                }
            }
        }
        
        if (best==null) {

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