def METHOD_NAME(sep: str = r"\s+", **kwargs):  # pragma: no cover
    r"""
    Read text from clipboard and pass to read_csv.
    Parameters
    ----------
    sep : str, default '\s+'
        A string or regex delimiter. The default of '\s+' denotes
        one or more whitespace characters.
    **kwargs
        See read_csv for the full argument list.
    Returns
    -------
    DataFrame
        A parsed DataFrame object.
    """
    encoding = kwargs.pop("encoding", "utf-8")
    # only utf-8 is valid for passed value because that's what clipboard
    # supports
    if encoding is not None and encoding.lower().replace("-", "") != "utf8":
        raise NotImplementedError("reading from clipboard only supports utf-8 encoding")
    from pandas.io.clipboard import clipboard_get
    from pandas.io.parsers import read_csv
    text = clipboard_get()
    # Try to decode (if needed, as "text" might already be a string here).
    try:
        text = text.decode(kwargs.get("encoding") or get_option("display.encoding"))
    except AttributeError:
        pass
    # Excel copies into clipboard with \t separation
    # inspect no more then the 10 first lines, if they
    # all contain an equal number (>0) of tabs, infer
    # that this came from excel and set 'sep' accordingly
    lines = text[:10000].split("\n")[:-1][:10]
    # Need to remove leading white space, since read_csv
    # accepts:
    #    a  b
    # 0  1  2
    # 1  3  4
    counts = {x.lstrip(" ").count("\t") for x in lines}
    if len(lines) > 1 and len(counts) == 1 and counts.pop() != 0:
        sep = "\t"
        # check the number of leading tabs in the first line
        # to account for index columns
        index_length = len(lines[0]) - len(lines[0].lstrip(" \t"))
        if index_length != 0:
            kwargs.setdefault("index_col", list(range(index_length)))
    # Edge case where sep is specified to be None, return to default
    if sep is None and kwargs.get("delim_whitespace") is None:
        sep = r"\s+"
    # Regex separator currently only works with python engine.
    # Default to python if separator is multi-character (regex)
    if len(sep) > 1 and kwargs.get("engine") is None:
        kwargs["engine"] = "python"
    elif len(sep) > 1 and kwargs.get("engine") == "c":
        warnings.warn(
            "read_clipboard with regex separator does not work properly with c engine.",
            stacklevel=find_stack_level(),
        )
    return read_csv(StringIO(text), sep=sep, **kwargs)