* @param line The one-based index of the line containing the problem or {@code -1} if unknown.
     * @param column The one-based index of the column containing the problem or {@code -1} if unknown.
     * @param cause The cause of the problem, may be {@code null}.
     */
    void add(Problem.Severity severity, String message, int line, int column, Exception cause);

    /**

// UnmarshalYAML - BatchJobNotification extends unmarshal to extract line, column information
func (b *BatchJobNotification) UnmarshalYAML(val *yaml.Node) error {
	type notification BatchJobNotification
	var tmp notification
	err := val.Decode(&tmp)
	if err != nil {
		return err
	}

	*b = BatchJobNotification(tmp)
	b.line, b.col = val.Line, val.Column
	return nil
}

   * generated by applying the specified functions. If multiple inputs are mapped to the same row
   * and column pair, they will be combined with the specified merging function in encounter order.
   *
   * <p>The returned {@code Collector} will throw a {@code NullPointerException} at collection time
   * if the row, column, value, or merging functions return null on any input.
   *

     */
    public int getLineNumber() {
        return lineNumber;
    }

    /**
     * Gets the one-based index of the column containing the error.
     *
     * @return The one-based index of the column containing the error or non-positive value if unknown.
     */
    public int getColumnNumber() {
        return columnNumber;
    }

      table.put(row, 2, 'b');
    }
  }

  private static void populateForColumnKeySet(
      Table<Integer, String, Character> table, String[] elements) {
    for (String column : elements) {
      table.put(1, column, 'a');
      table.put(2, column, 'b');
    }
  }

  private static void populateForValues(
      Table<Integer, Character, String> table, String[] elements) {
    for (int i = 0; i < elements.length; i++) {

  private static final ImmutableSet<Integer> COLUMN_SPACE = ImmutableSet.of(1, 2);

  private static final SparseImmutableTable<Character, Integer, String> SPARSE =
      new SparseImmutableTable<>(CELLS.asList(), ROW_SPACE, COLUMN_SPACE);

  private static final DenseImmutableTable<Character, Integer, String> DENSE =
      new DenseImmutableTable<>(CELLS.asList(), ROW_SPACE, COLUMN_SPACE);

  @Override

    }
  }

  public void testColumnMissing() {
    table = create("foo", 1, 'a', "bar", 1, 'b', "foo", 3, 'c');
    Map<String, Character> column = table.column(4);
    assertTrue(column.isEmpty());
    try {
      column.put("foo", 'd');
      fail();
    } catch (UnsupportedOperationException expected) {
    }
  }

  public void testRowPutIllegal() {

    }
  }

  public void testColumnMissing() {
    table = create("foo", 1, 'a', "bar", 1, 'b', "foo", 3, 'c');
    Map<String, Character> column = table.column(4);
    assertTrue(column.isEmpty());
    try {
      column.put("foo", 'd');
      fail();
    } catch (UnsupportedOperationException expected) {
    }
  }

  public void testRowPutIllegal() {

    assertSame(original.values(), transpose.values());
    assertEquals(original.row(1), transpose.column(1));
    assertEquals(original.row(2), transpose.column(2));
    assertEquals(original.column("foo"), transpose.row("foo"));
    assertEquals(original.column("bar"), transpose.row("bar"));
  }

				r.err = errCSVParsingError(err)
				return errCSVParsingError(err)
			}
			return err
		}

		if r.args.FileHeaderInfo == use {
			// Copy column names since records will be reused.
			columns := append(make([]string, 0, len(record)), record...)
			r.columnNames = columns
		}
	}

	r.bufferPool.New = func() interface{} {
		return make([]byte, csvSplitSize+1024)
	}

	// Return first block