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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 maybe_upcast_for_op(obj):
 """ Cast non-pandas objects to pandas types to unify behavior of arithmetic and comparison operations. Parameters obj: object Returns ------- out : object Notes ----- Be careful to call this *after* determining the `name` attribute to be attached to the result of the arithmetic operation. """

    if type(obj) is datetime.timedelta:
        # GH#22390  cast up to Timedelta to rely on Timedelta
        # implementation; otherwise operation against numeric-dtype
        # raises TypeError
        return pd.Timedelta(obj)
    elif isinstance(obj, np.timedelta64) and not isna(obj):
        # In particular non-nanosecond timedelta64 needs to be cast to
        #  nanoseconds, or else we get undesired behavior like
        #  np.timedelta64(3, 'D') / 2 == np.timedelta64(1, 'D')
        # The isna check is to avoid casting timedelta64("NaT"), which would
        #  return NaT and incorrectly be treated as a datetime-NaT.
        return pd.Timedelta(obj)
    elif isinstance(obj, np.ndarray) and is_timedelta64_dtype(obj):
        # GH#22390 Unfortunately we need to special-case right-hand
        # timedelta64 dtypes because numpy casts integer dtypes to
        # timedelta64 when operating with timedelta64
        return pd.TimedeltaIndex(obj)
    return obj