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File: //usr/lib/python3/dist-packages/docutils/parsers/rst/__pycache__/tableparser.cpython-310.pyc
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This module defines table parser classes,which parse plaintext-graphic tables
and produce a well-formed data structure suitable for building a CALS table.

:Classes:
    - `GridTableParser`: Parse fully-formed tables represented with a grid.
    - `SimpleTableParser`: Parse simple tables, delimited by top & bottom
      borders.

:Exception class: `TableMarkupError`

:Function:
    `update_dict_of_lists()`: Merge two dictionaries containing list values.
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    Raise if there is any problem with table markup.

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    Parse a grid table using `parse()`.

    Here's an example of a grid table::

        +------------------------+------------+----------+----------+
        | Header row, column 1   | Header 2   | Header 3 | Header 4 |
        +========================+============+==========+==========+
        | body row 1, column 1   | column 2   | column 3 | column 4 |
        +------------------------+------------+----------+----------+
        | body row 2             | Cells may span columns.          |
        +------------------------+------------+---------------------+
        | body row 3             | Cells may  | - Table cells       |
        +------------------------+ span rows. | - contain           |
        | body row 4             |            | - body elements.    |
        +------------------------+------------+---------------------+

    Intersections use '+', row separators use '-' (except for one optional
    head/body row separator, which uses '='), and column separators use '|'.

    Passing the above table to the `parse()` method will result in the
    following data structure::

        ([24, 12, 10, 10],
         [[(0, 0, 1, ['Header row, column 1']),
           (0, 0, 1, ['Header 2']),
           (0, 0, 1, ['Header 3']),
           (0, 0, 1, ['Header 4'])]],
         [[(0, 0, 3, ['body row 1, column 1']),
           (0, 0, 3, ['column 2']),
           (0, 0, 3, ['column 3']),
           (0, 0, 3, ['column 4'])],
          [(0, 0, 5, ['body row 2']),
           (0, 2, 5, ['Cells may span columns.']),
           None,
           None],
          [(0, 0, 7, ['body row 3']),
           (1, 0, 7, ['Cells may', 'span rows.', '']),
           (1, 1, 7, ['- Table cells', '- contain', '- body elements.']),
           None],
          [(0, 0, 9, ['body row 4']), None, None, None]])

    The first item is a list containing column widths (colspecs). The second
    item is a list of head rows, and the third is a list of body rows. Each
    row contains a list of cells. Each cell is either None (for a cell unused
    because of another cell's span), or a tuple. A cell tuple contains four
    items: the number of extra rows used by the cell in a vertical span
    (morerows); the number of extra columns used by the cell in a horizontal
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        Start with a queue of upper-left corners, containing the upper-left
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        Look for the top-right corner of the cell, and make note of all column
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    Parse a simple table using `parse()`.

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        col 1  col 2
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        2      Second column of row 2.
               Second line of paragraph.
        3      - Second column of row 3.

               - Second item in bullet
                 list (row 3, column 2).
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        ------------
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        =====  =====

    Top and bottom borders use '=', column span underlines use '-', column
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    Passing the above table to the `parse()` method will result in the
    following data structure, whose interpretation is the same as for
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        ([5, 25],
         [[(0, 0, 1, ['col 1']),
           (0, 0, 1, ['col 2'])]],
         [[(0, 0, 3, ['1']),
           (0, 0, 3, ['Second column of row 1.'])],
          [(0, 0, 4, ['2']),
           (0, 0, 4, ['Second column of row 2.',
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          [(0, 0, 6, ['3']),
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                      '',
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