def hash_tuples(vals, encoding='utf8', hash_key=None):
    """
    Hash an MultiIndex / list-of-tuples efficiently

    .. versionadded:: 0.20.0

    Parameters
    ----------
    vals : MultiIndex, list-of-tuples, or single tuple
    encoding : string, default 'utf8'
    hash_key : string key to encode, default to _default_hash_key

    Returns
    -------
    ndarray of hashed values array
    """
    is_tuple = False
    if isinstance(vals, tuple):
        vals = [vals]
        is_tuple = True
    elif not is_list_like(vals):
        raise TypeError("must be convertible to a list-of-tuples")

    from pandas import Categorical, MultiIndex

    if not isinstance(vals, ABCMultiIndex):
        vals = MultiIndex.from_tuples(vals)

    # create a list-of-Categoricals
    vals = [Categorical(vals.codes[level],
                        vals.levels[level],
                        ordered=False,
                        fastpath=True)
            for level in range(vals.nlevels)]

    # hash the list-of-ndarrays
    hashes = (_hash_categorical(cat,
                                encoding=encoding,
                                hash_key=hash_key)
              for cat in vals)
    h = _combine_hash_arrays(hashes, len(vals))
    if is_tuple:
        h = h[0]

    return h
Hash an MultiIndex / list-of-tuples efficiently

    .. versionadded:: 0.20.0

    Parameters
    ----------
    vals : MultiIndex, list-of-tuples, or single tuple
    encoding : string, default 'utf8'
    hash_key : string key to encode, default to _default_hash_key

    Returns
    -------
    ndarray of hashed values array