def read_clipboard(sep=r'<STR_LIT>', **kwargs):  
encoding = kwargs.pop('<STR_LIT>', '<STR_LIT:utf-8>')<EOL>if encoding is not None and encoding.lower().replace('<STR_LIT:->', '<STR_LIT>') != '<STR_LIT:utf8>':<EOL><INDENT>raise NotImplementedError(<EOL>'<STR_LIT>')<EOL><DEDENT>from pandas.io.clipboard import clipboard_get<EOL>from pandas.io.parsers import read_csv<EOL>text = clipboard_get()<EOL>try:<EOL><INDENT>text = text.decode(kwargs.get('<STR_LIT>')<EOL>or get_option('<STR_LIT>'))<EOL><DEDENT>except AttributeError:<EOL><INDENT>pass<EOL><DEDENT>lines = text[:<NUM_LIT>].split('<STR_LIT:\n>')[:-<NUM_LIT:1>][:<NUM_LIT:10>]<EOL>counts = {x.lstrip().count('<STR_LIT:\t>') for x in lines}<EOL>if len(lines) > <NUM_LIT:1> and len(counts) == <NUM_LIT:1> and counts.pop() != <NUM_LIT:0>:<EOL><INDENT>sep = '<STR_LIT:\t>'<EOL><DEDENT>if sep is None and kwargs.get('<STR_LIT>') is None:<EOL><INDENT>sep = r'<STR_LIT>'<EOL><DEDENT>if len(sep) > <NUM_LIT:1> and kwargs.get('<STR_LIT>') is None:<EOL><INDENT>kwargs['<STR_LIT>'] = '<STR_LIT>'<EOL><DEDENT>elif len(sep) > <NUM_LIT:1> and kwargs.get('<STR_LIT>') == '<STR_LIT:c>':<EOL><INDENT>warnings.warn('<STR_LIT>'<EOL>'<STR_LIT>')<EOL><DEDENT>return read_csv(StringIO(text), sep=sep, **kwargs)<EOL>
r"""
    Read text from clipboard and pass to read_csv. See read_csv for the
    full argument list

    Parameters
    ----------
    sep : str, default '\s+'
        A string or regex delimiter. The default of '\s+' denotes
        one or more whitespace characters.

    Returns
    -------
    parsed : DataFrame