human
I wrote the below code

    if (not is_list_like(values)):
        raise TypeError('Only    list-like    objects    are    allowed    to    be    passed    tosafe_sort    as    values')
    if (not isinstance(values, np.ndarray)):
        (dtype, _) = infer_dtype_from_array(values)
        values = np.asarray(values, dtype=dtype)
    def sort_mixed(values):
        str_pos = np.array([isinstance(x, string_types) for x in values], dtype=bool)
        nums = np.sort(values[(~ str_pos)])
        strs = np.sort(values[str_pos])
        return np.concatenate([nums, np.asarray(strs, dtype=object)])
    sorter = None
    if (PY3 and (lib.infer_dtype(values) == 'mixed-integer')):
        ordered = sort_mixed(values)
    else:
        try:
            sorter = values.argsort()
            ordered = values.take(sorter)
        except TypeError:
            ordered = sort_mixed(values)
    if (labels is None):
        return ordered
    if (not is_list_like(labels)):
        raise TypeError('Only    list-like    objects    or    None    are    allowed    to    bepassed    to    safe_sort    as    labels')
    labels = _ensure_platform_int(np.asarray(labels))
    from pandas import Index
    if ((not assume_unique) and (not Index(values).is_unique)):
        raise ValueError('values    should    be    unique    if    labels    is    not    None')
    if (sorter is None):
        ((hash_klass, _), values) = algorithms._get_data_algo(values, algorithms._hashtables)
        t = hash_klass(len(values))
        t.map_locations(values)
        sorter = _ensure_platform_int(t.lookup(ordered))
    reverse_indexer = np.empty(len(sorter), dtype=np.int_)
    reverse_indexer.put(sorter, np.arange(len(sorter)))
    mask = (((labels < (- len(values))) | (labels >= len(values))) | (labels == na_sentinel))
    new_labels = reverse_indexer.take(labels, mode='wrap')
    np.putmask(new_labels, mask, na_sentinel)
    return (ordered, _ensure_platform_int(new_labels))

What's a good function header?
 Here's a good function header?
assistant
#Here's a good function header.

def safe_sort(values, labels=None, na_sentinel=(-1), assume_unique=False):