Examples of java.util.Vector.clear()

java.util.Vector.clear()
Removes all of the elements from this Vector. The Vector will be empty after this call returns (unless it throws an exception). @since 1.2

     * files > 0 && create empty = true    create
     * files > 0 && create empty = false  create
     */
    //  If there are no files, but createEmpty is false, clear the folders you found
    if(tfiles.size() == 0 && m_details.getEmptyDirectory() == false){
      tfolders.clear();
    }
    //  Add anything thats left, if nothing, nothing will get added
    files.addAll(tfiles);
    folders.addAll(tfolders);

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        }
        
        return true;
      }else{
        files.clear();
        subdir.clear();
      }
      
      retries--;
    }

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     * files > 0 && create empty = false  create
     */
    //  If there are no files, but createEmpty is false, clear the folders you found
    //System.out.println("Return Files:\t"+files.size() + "\tcreateEmpty = "+m_details.getEmptyDirectory());
    if(tfiles.size() == 0 && m_details.getEmptyDirectory() == false){
      tfolders.clear();
    }
    //  Add anything thats left, if nothing, nothing will get added
    files.addAll(tfiles);
    folders.addAll(tfolders);

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     * files > 0 && create empty = false  create
     */
    //  If there are no files, but createEmpty is false, clear the folders you found
    //System.out.println("Return Files:\t"+files.size() + "\tcreateEmpty = "+m_details.getEmptyDirectory());
    if(tfiles.size() == 0 && m_details.getEmptyDirectory() == false){
      tfolders.clear();
    }
    //  Add anything thats left, if nothing, nothing will get added
    files.addAll(tfiles);
    folders.addAll(tfolders);
  }

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             and assign the class value 1.0 to it.
             */
          if (sum==0){ 
            //find the instance with max SVMOutput value  
            max_output=-Double.MAX_VALUE;
            max_index.clear();
            for (int j=index-bagSize[h]+1; j<index+1; j++){
              inst=train.instance(j);
              double output = m_SVM.output(-1, inst);
              if(max_output<output) {
                max_output=output;

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            for (int j=index-bagSize[h]+1; j<index+1; j++){
              inst=train.instance(j);
              double output = m_SVM.output(-1, inst);
              if(max_output<output) {
                max_output=output;
                max_index.clear();
                max_index.add(new Integer(j));
              }
              else if(max_output==output) 
                max_index.add(new Integer(j));
            }

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        //Vector vctRow=new Vector();
        Enumeration<Transaction> enTrans=crdInfo.getAllTransactions();
        while(enTrans.hasMoreElements())
        {
            Vector vctRow=new Vector();
            vctRow.clear();
            Transaction tmpTransaction=enTrans.nextElement();
            vctRow.add(new Integer(tmpTransaction.getID()));
            vctRow.add(tmpTransaction.getTransactionDate());
            vctRow.add(dfCurrency.format(tmpTransaction.amount));
            vctRow.add(tmpTransaction.strReason);

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        //Vector vctRow=new Vector();
        Enumeration<Transaction> enTrans=crdInfo.getAllTransactions();
        while(enTrans.hasMoreElements())
        {
            Vector vctRow=new Vector();
            vctRow.clear();
            Transaction tmpTransaction=enTrans.nextElement();
            vctRow.add(new Integer(tmpTransaction.getID()));
            vctRow.add(tmpTransaction.getTransactionDate());
            vctRow.add(dfCurrency.format(tmpTransaction.amount));
            vctRow.add(tmpTransaction.strReason);

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                ret = new Vector(array.length);
                for (int i = 0; i < array.length; i++) {
                    ret.add(array[i]);
                }
            } catch (Exception e) {
                ret.clear();
            }
        } else {
            FieldDesc [] fields = typeDesc.getFields();
            if (fields != null) {
                for (int i = 0; i < fields.length; i++) {

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        for( int i = 0; i < predProbs.length; i++) {
            currentValue = (int) predProbs[i];
            // if current value is greater than the central tendency value then
            // clear vector and add new class to vector array.
            if( currentValue > centralTValue) {
                centralTClasses.clear();
                centralTClasses.addElement( new Integer(i) );
                centralTValue = currentValue;
            } else if( currentValue != 0 && currentValue == centralTValue) {
                centralTClasses.addElement( new Integer(i) );
            }

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