code: def needs_i8_conversion(arr_or_dtype):
      
  
      if arr_or_dtype is None:
          return False
      return (is_datetime_or_timedelta_dtype(arr_or_dtype) or
              is_datetime64tz_dtype(arr_or_dtype) or
              is_period_dtype(arr_or_dtype))
docs: Check whether the array or dtype should be converted to int64.
  
      An array-like or dtype "needs" such a conversion if the array-like
      or dtype is of a datetime-like dtype
  
      Parameters
      ----------
      arr_or_dtype : array-like
          The array or dtype to check.
  
      Returns
      -------
      boolean
          Whether or not the array or dtype should be converted to int64.
  
      Examples
      --------
      >>> needs_i8_conversion(str)
      False
      >>> needs_i8_conversion(np.int64)
      False
      >>> needs_i8_conversion(np.datetime64)
      True
      >>> needs_i8_conversion(np.array(['a', 'b']))
      False
      >>> needs_i8_conversion(pd.Series([1, 2]))
      False
      >>> needs_i8_conversion(pd.Series([], dtype="timedelta64[ns]"))
      True
      >>> needs_i8_conversion(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern"))
      True