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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 _check_timedeltalike_freq_compat(self, other):
 """ Arithmetic operations with timedelta-like scalars or array `other` are only valid if `other` is an integer multiple of `self.freq`. If the operation is valid, find that integer multiple. Otherwise, raise because the operation is invalid. Parameters other : timedelta, np.timedelta64, Tick, ndarray[timedelta64], TimedeltaArray, TimedeltaIndex Returns ------- multiple : int or ndarray[int64] Raises ------ IncompatibleFrequency """

        assert isinstance(self.freq, Tick)  # checked by calling function
        own_offset = frequencies.to_offset(self.freq.rule_code)
        base_nanos = delta_to_nanoseconds(own_offset)

        if isinstance(other, (timedelta, np.timedelta64, Tick)):
            nanos = delta_to_nanoseconds(other)

        elif isinstance(other, np.ndarray):
            # numpy timedelta64 array; all entries must be compatible
            assert other.dtype.kind == 'm'
            if other.dtype != _TD_DTYPE:
                # i.e. non-nano unit
                # TODO: disallow unit-less timedelta64
                other = other.astype(_TD_DTYPE)
            nanos = other.view('i8')
        else:
            # TimedeltaArray/Index
            nanos = other.asi8

        if np.all(nanos % base_nanos == 0):
            # nanos being added is an integer multiple of the
            #  base-frequency to self.freq
            delta = nanos // base_nanos
            # delta is the integer (or integer-array) number of periods
            # by which will be added to self.
            return delta

        _raise_on_incompatible(self, other)