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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def column_definition(table_name, col_name):
 """ Get the source of a column function. If a column is a registered Series and not a function then all that is returned is {'type': 'series'}. If the column is a registered function then the JSON returned has keys "type", "filename", "lineno", "text", and "html". "text" is the raw text of the function, "html" has been marked up by Pygments. """

    col_type = orca.get_table(table_name).column_type(col_name)

    if col_type != 'function':
        return jsonify(type=col_type)

    filename, lineno, source = \
        orca.get_raw_column(table_name, col_name).func_source_data()

    html = highlight(source, PythonLexer(), HtmlFormatter())

    return jsonify(
        type='function', filename=filename, lineno=lineno, text=source,
        html=html)