code: def datashape_type_to_numpy(type_):
      
      if isinstance(type_, Option):
          type_ = type_.ty
      if isinstance(type_, DateTime):
          return np.dtype('datetime64[ns]')
      if isinstance(type_, String):
          return np.dtype(object)
      if type_ in integral:
          return np.dtype('int64')
      else:
          return type_.to_numpy_dtype()
docs: Given a datashape type, return the associated numpy type. Maps
      datashape's DateTime type to numpy's `datetime64[ns]` dtype, since the
      numpy datetime returned by datashape isn't supported by pipeline.
  
      Parameters
      ----------
      type_: datashape.coretypes.Type
          The datashape type.
  
      Returns
      -------
      type_ np.dtype
          The numpy dtype.