How to use the textfsm.terminal.StripAnsiText function in textfsm

for paragraph in text.split('\n'):
        result.extend(self._TextJustify(paragraph, col_size))
      return result

    wrapper = textwrap.TextWrapper(width=col_size-2, break_long_words=False,
                                   expand_tabs=False)
    try:
      text_list = wrapper.wrap(text)
    except ValueError:
      raise TableError('Field too small (minimum width: 3)')

    if not text_list:
      return [' '*col_size]

    for current_line in text_list:
      stripped_len = len(terminal.StripAnsiText(current_line))
      ansi_color_adds = len(current_line) - stripped_len
      # +2 for white space on either side.
      if stripped_len + 2 > col_size:
        raise TableError('String contains words that do not fit in column.')

      result.append(' %-*s' % (col_size - 1 + ansi_color_adds, current_line))

    return result

# Initialise largest and smallest for all columns.
    for key in _FilteredCols():
      largest[key] = 0
      smallest[key] = 0

    # Find the largest and smallest values.
    # Include Title line in equation.
    # pylint: disable=E1103
    for row in self._table:
      for key, value in row.items():
        if key not in _FilteredCols():
          continue
        # Convert lists into a string.
        if isinstance(value, list):
          value = ', '.join(value)
        value = terminal.StripAnsiText(value)
        largest[key] = max(len(value), largest[key])
        smallest[key] = max(self._SmallestColSize(value), smallest[key])
    # pylint: enable=E1103

    min_total_width = 0
    multi_word = []
    # Bump up the size of each column to include minimum pad.
    # Find all columns that can be wrapped (multi-line).
    # And the minimum width needed to display all columns (even if wrapped).
    for key in _FilteredCols():
      # Each column is bracketed by a space on both sides.
      # So increase size required accordingly.
      largest[key] += 2
      smallest[key] += 2
      min_total_width += smallest[key]
      # If column contains data that 'could' be split over multiple lines.