Package dmt.tools

Examples of dmt.tools.CSVFileReader.readFields()

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    CSVFileWriter out = new CSVFileWriter(outCSV, ',');
   
    //adding headers
    out.writeFields(getHeaders());

      Vector<String> fields = in.readFields();
      int k=0;
     
      while(fields!=null)
      {
        //update the hashMap
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        }
      }
      fields.remove(3);
      //fields.set(3, new Integer(fields.get(3).length()).toString());
        out.writeFields(fields);
        fields = in.readFields();
        k++;
        //if(k>1000) break;
       
      }
 
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    headers.add("Manhattan");
    out.writeFields(headers);

    CSVFileReader in1 = new CSVFileReader("csv_out.csv", ',');
    // skip the headers
    Vector<String> fields1 = in1.readFields();
    fields1 = in1.readFields();
    int count1 = 0;
    while (fields1 != null)
    {
      String id1 = fields1.get(0) + fields1.get(1);
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    out.writeFields(headers);

    CSVFileReader in1 = new CSVFileReader("csv_out.csv", ',');
    // skip the headers
    Vector<String> fields1 = in1.readFields();
    fields1 = in1.readFields();
    int count1 = 0;
    while (fields1 != null)
    {
      String id1 = fields1.get(0) + fields1.get(1);
      Object[] bagOfWordsTfIdf1 = fields1.subList(4, fields1.size())
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      String id1 = fields1.get(0) + fields1.get(1);
      Object[] bagOfWordsTfIdf1 = fields1.subList(4, fields1.size())
          .toArray();
      TextInstance instance1 = new TextInstance(bagOfWordsTfIdf1, id1);
      CSVFileReader in2 = new CSVFileReader("csv_out.csv", ',');
      Vector<String> fields2 = in2.readFields();
      fields2 = in2.readFields();
      TextInstance instance2;
      Object[] bagOfWordsTfIdf2;
      int count2=0;
      while (fields2 != null)
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      Object[] bagOfWordsTfIdf1 = fields1.subList(4, fields1.size())
          .toArray();
      TextInstance instance1 = new TextInstance(bagOfWordsTfIdf1, id1);
      CSVFileReader in2 = new CSVFileReader("csv_out.csv", ',');
      Vector<String> fields2 = in2.readFields();
      fields2 = in2.readFields();
      TextInstance instance2;
      Object[] bagOfWordsTfIdf2;
      int count2=0;
      while (fields2 != null)
      {     
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            instance1, instance2);
        distances.add(d1+"");
        distances.add(TextInstance.computeManhattanDistance(instance1, instance2)
            + "");
        out.writeFields(distances);
        fields2 = in2.readFields();
        count2++;
        if(count2==num_instances) break;
      }
      fields1 = in1.readFields();
      count1++;
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  public void run() throws IOException
  {
    CSVFileReader in = new CSVFileReader(inCSV, ',');
    CSVFileWriter out = new CSVFileWriter(outCSV, ',');
   
      Vector<String> fields = in.readFields();
      int k=0;
     
      while(fields!=null)
      {
        //run the prefeatures
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      for(int i=0; i < preFeatures.size(); i++)
      {
        preFeatures.get(i).run(fields);
      }
      out.writeFields(fields);
        fields = in.readFields();
        k++;
        //if(k>10) break;
       
      }
      in.close();
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  public static void loadTextInstances() throws IOException
  {
    CSVFileReader in1 = new CSVFileReader("csv_out.csv", ',');
    // skip the headers
    Vector<String> fields1 = in1.readFields();
    fields1 = in1.readFields();
    int no_instances = 1000;
    int k = 0;
    while (fields1 != null)
    {
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