code: def _validate_date_like_dtype(dtype):
      
  
      try:
          typ = np.datetime_data(dtype)[0]
      except ValueError as e:
          raise TypeError('{error}'.format(error=e))
      if typ != 'generic' and typ != 'ns':
          msg = '{name!r} is too specific of a frequency, try passing {type!r}'
          raise ValueError(msg.format(name=dtype.name, type=dtype.type.__name__))
docs: Check whether the dtype is a date-like dtype. Raises an error if invalid.
  
      Parameters
      ----------
      dtype : dtype, type
          The dtype to check.
  
      Raises
      ------
      TypeError : The dtype could not be casted to a date-like dtype.
      ValueError : The dtype is an illegal date-like dtype (e.g. the
                   the frequency provided is too specific)