code: def _check_timedeltalike_freq_compat(self, other):
          
          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)
docs: 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