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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 nanany(values, axis=None, skipna=True, mask=None):
 """ Check if any elements along an axis evaluate to True. Parameters values : ndarray axis : int, optional skipna : bool, default True mask : ndarray[bool], optional nan-mask if known Returns ------- result : bool Examples -------- True False """

    values, mask, dtype, _, _ = _get_values(values, skipna, False, copy=skipna,
                                            mask=mask)
    return values.any(axis)