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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 _clean_spaces_backtick_quoted_names(tok):
 """Clean up a column name if surrounded by backticks. Backtick quoted string are indicated by a certain tokval value. If a string is a backtick quoted token it will processed by :func:`_remove_spaces_column_name` so that the parser can find this string when the query is executed. See also :meth:`NDFrame._get_space_character_free_column_resolver`. Parameters tok : tuple of int, str ints correspond to the all caps constants in the tokenize module Returns ------- t : tuple of int, str Either the input or token or the replacement values """

    toknum, tokval = tok
    if toknum == _BACKTICK_QUOTED_STRING:
        return tokenize.NAME, _remove_spaces_column_name(tokval)
    return toknum, tokval