Examples of CSVTokenizer

com.bbn.openmap.util.CSVTokenizer
Tokenizer for comma separated values files, at least as generated by excel.
token() returns the next token, which can be either:
- null, indicating an empty field.
- a Double, indicating a numeric field.
- a String, indicating an alphanumeric field.
- the NEWLINE object, indicating the end of a record.
- the EOF object, test with isEOF(), indicating the end of file.
```
 
```
com.cloudera.cdk.morphline.shaded.com.googlecode.jcsv.fastreader.CSVTokenizer
The CSVTokenizer specifies the behaviour how to parse each line into a List of Strings.
org.jfree.report.util.CSVTokenizer
The csv tokenizer class allows an application to break a Comma Separated Value format into tokens. The tokenization method is much simpler than the one used by the StringTokenizer class. The CSVTokenizer methods do not distinguish among identifiers, numbers, and quoted strings, nor do they recognize and skip comments.
The set of separator (the characters that separate tokens) may be specified either at creation time or on a per-token basis.
An instance of CSVTokenizer behaves in one of two ways, depending on whether it was created with the returnSeparators flag having the value true or false:
- If the flag is false, delimiter characters serve to separate tokens. A token is a maximal sequence of consecutive characters that are not separator.
- If the flag is true, delimiter characters are themselves considered to be tokens. A token is thus either one delimiter character, or a maximal sequence of consecutive characters that are not separator.
A CSVTokenizer object internally maintains a current position within the string to be tokenized. Some operations advance this current position past the characters processed.
A token is returned by taking a substring of the string that was used to create the CSVTokenizer object.
The following is one example of the use of the tokenizer. The code:
```
 CSVTokenizer csvt = new CSVTokenizer("this,is,a,test"); while (csvt.hasMoreTokens()) { println(csvt.nextToken()); } 
```
prints the following output:
```
 this is a test 
```
@author abupon
org.jugile.util.CsvTokenizer
"Thus saith the Lord GOD; When I shall have gathered the house of Israel from the people among whom they are scattered, and shall be sanctified in them in the sight of the heathen, then shall they dwell in their land that I have given to my servant Jacob." (Ezekiel 28:25) ========== Simple utility for using csv data files. For some purposes simple and flat file with comma separated value rows is more convinient way to write and read the data than corresponding xml or json structure. @author jukka.rahkonen@iki.fi
org.kitesdk.morphline.shaded.com.googlecode.jcsv.fastreader.CSVTokenizer
The CSVTokenizer specifies the behaviour how to parse each line into a List of Strings.
org.pentaho.reporting.libraries.base.util.CSVTokenizer
The csv tokenizer class allows an application to break a Comma Separated Value format into tokens. The tokenization method is much simpler than the one used by the StringTokenizer class. The CSVTokenizer methods do not distinguish among identifiers, numbers, and quoted strings, nor do they recognize and skip comments.
The set of separator (the characters that separate tokens) may be specified either at creation time or on a per-token basis.
An instance of CSVTokenizer behaves in one of two ways, depending on whether it was created with the returnSeparators flag having the value true or false:
- If the flag is false, delimiter characters serve to separate tokens. A token is a maximal sequence of consecutive characters that are not separator.
- If the flag is true, delimiter characters are themselves considered to be tokens. A token is thus either one delimiter character, or a maximal sequence of consecutive characters that are not separator.
A CSVTokenizer object internally maintains a current position within the string to be tokenized. Some operations advance this current position past the characters processed.
A token is returned by taking a substring of the string that was used to create the CSVTokenizer object.
The following is one example of the use of the tokenizer. The code:
```
 CSVTokenizer csvt = new CSVTokenizer("this,is,a,test"); while (csvt.hasMoreTokens()) { println(csvt.nextToken()); } 
```
prints the following output:
```
 this is a test 
```
@author abupon

Examples of org.jugile.util.CsvTokenizer

  }
  
  public int loadFromCsvZip(String fname) { return loadFromCsv(zipInputStream(fname));}
  public int loadFromCsv(String fname) { return loadFromCsv(inputStream(fname));}
  public int loadFromCsv(InputStream is) {
    CsvTokenizer t = new CsvTokenizer(is);
    t.setDelimiter(Bo.CSVDELIMITER);  
    uow.get().startWriteTx();
    try {
      int count = cd().modifyDomain(t);
      HiLo.setNextid(count + 100L);
      log.info("loaded " + count + " items. updated HiLo, nextid now: " + HiLo.nextid());

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Examples of org.kitesdk.morphline.shaded.com.googlecode.jcsv.fastreader.CSVTokenizer

    split(Lists.newArrayList(), "", '|', false, false);
    split(Arrays.asList("x"), "x", '|', false, false);
    split(Arrays.asList(null,"x"), "|x", '|', false, false);
    
    Record record = new Record();
    CSVTokenizer tokenizer = new SimpleCSVTokenizer(',', true, true, new ArrayList<String>());
    tokenizer.tokenizeLine(" x ", null, record);
    assertEquals(Arrays.asList("x"), record.get("column0"));
  }

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Examples of org.kitesdk.morphline.shaded.com.googlecode.jcsv.fastreader.CSVTokenizer

    assertEquals(Arrays.asList("x"), record.get("column0"));
  }
  
  private void split(List expected, String line, char separator, boolean isQuoted, boolean addEmptyStrings) throws IOException {
    Record record = new Record();
    CSVTokenizer tokenizer;
    if (isQuoted) {
      tokenizer = new QuotedCSVTokenizer(separator, false, addEmptyStrings, new ArrayList<String>(), 1000, false, '"');
      tokenizer.tokenizeLine(line, new BufferedReader(new StringReader("")), record);      
    } else {
      tokenizer = new SimpleCSVTokenizer(separator, false, addEmptyStrings, new ArrayList<String>());
      tokenizer.tokenizeLine(line, null, record);
    }
    for (int i = 0; i < expected.size(); i++) {
      assertEquals(expected.get(i), record.getFirstValue("column" + i));
    }
    assertTrue(record.getFields().asMap().size() <= expected.size());

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Examples of org.kitesdk.morphline.shaded.com.googlecode.jcsv.fastreader.CSVTokenizer


  @Test(expected=IllegalArgumentException.class)
  public void testThrowExceptionIfRecordTooLong() throws Exception {
    boolean ignoreTooLongRecords = false;
    int maxCharactersPerRecord = 10;
    CSVTokenizer tokenizer = new QuotedCSVTokenizer(
        ',', false, false, new ArrayList<String>(), maxCharactersPerRecord, ignoreTooLongRecords, '"');
    tokenizer.tokenizeLine(
        "\"", 
        new BufferedReader(new StringReader("line tooooooooo long\"")), 
        new Record());
  }

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Examples of org.kitesdk.morphline.shaded.com.googlecode.jcsv.fastreader.CSVTokenizer


  @Test
  public void testIgnoreRecordTooLong() throws Exception {
    boolean ignoreTooLongRecords = true;
    int maxCharactersPerRecord = 10;
    CSVTokenizer tokenizer = new QuotedCSVTokenizer(
        ',', false, false, new ArrayList<String>(), maxCharactersPerRecord, ignoreTooLongRecords, '"');
    assertFalse(tokenizer.tokenizeLine(
        "\"", 
        new BufferedReader(new StringReader("line tooooooooo long\"")), 
        new Record()));
  }

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Examples of org.pentaho.reporting.libraries.base.util.CSVTokenizer

  }


  private String[] splitLine(final String line, final boolean trim)
  {
    final ArrayList row = new ArrayList();
    final CSVTokenizer tokenizer = new CSVTokenizer(line, getSeparator(), "\"", trim);
    while (tokenizer.hasMoreElements())
    {
      final String o = (String) tokenizer.nextElement();
      if (trim)
      {
        row.add(o.trim());
      }
      else

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Examples of org.pentaho.reporting.libraries.base.util.CSVTokenizer

  }


  public void testCSVTokenizer ()
  {
    final String example = "\"Test\"";
    CSVTokenizer tokenizer = new CSVTokenizer(example, ",", "\"");
    assertTrue("Tokenizer has at least one element", tokenizer.hasMoreTokens());
    assertEquals(tokenizer.nextToken(), "Test");
  }

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Examples of org.pentaho.reporting.libraries.base.util.CSVTokenizer

      final String s = environment.getEnvironmentProperty(name);
      if (s == null)
      {
        return new String[0];
      }
      final CSVTokenizer csvTokenizer = new CSVTokenizer(s, ",", "\"", false);
      final int length = csvTokenizer.countTokens();
      final String[] rolesArray = new String[length];
      for (int i = 0; i < length; i += 1)
      {
        rolesArray[i] = csvTokenizer.nextToken();
      }
      return rolesArray;
    }
    return environment.getEnvironmentProperty(envName);
  }

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Examples of org.pentaho.reporting.libraries.base.util.CSVTokenizer

      final String bootModules =
          getGlobalConfig().getConfigProperty
              ("org.pentaho.reporting.engine.classic.core.boot.Modules"); // NON-NLS
      if (bootModules != null)
      {
        final CSVTokenizer csvToken = new CSVTokenizer(bootModules, ",");
        while (csvToken.hasMoreTokens())
        {
          final String token = csvToken.nextToken();
          getPackageManager().load(token);
        }
      }
    }
    catch (SecurityException se)

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Examples of org.pentaho.reporting.libraries.base.util.CSVTokenizer

     * @param name the name of the property to look up.
     * @return the translated value.
     */
    protected String lookupVariable(final String name)
    {
      final CSVTokenizer tokenizer = new CSVTokenizer(name, false);
      if (tokenizer.hasMoreTokens() == false)
      {
        return null;
      }
      final String varName = tokenizer.nextToken();


      final StringBuffer b = new StringBuffer(name.length());
      b.append('{');
      b.append(String.valueOf(fields.size()));
      while (tokenizer.hasMoreTokens())
      {
        b.append(',');
        b.append(tokenizer.nextToken());
      }
      b.append('}');
      final String formatString = b.toString();
      fields.add(varName);
      return formatString;

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