=================================== FAILURES ===================================
980______ TestExplicitPolarsApi.test_exceptions_for_unsupported_polar_types _______
981
982self = <test.test_polars.TestExplicitPolarsApi testMethod=test_exceptions_for_unsupported_polar_types>
983
984    def test_exceptions_for_unsupported_polar_types(self):
985        """Confirm exceptions thrown are expected.
986    
987        Currently, pl.Series, and pl.Object
988        Tracks future changes in any packages.
989        """
990    
991        # Series:  PyMongoError does not support
992        with self.assertRaises(ValueError) as exc:
993            pls = pl.Series(values=range(2))
994            write(self.coll, pls)
995        self.assertTrue("Invalid tabular data object" in exc.exception.args[0])
996    
997        # Polars has an Object Type, similar in concept to Pandas
998        class MyObject:
999            pass
1000    
1001        with self.assertRaises(pl.exceptions.PanicException) as exc:
1002            df_in = pl.DataFrame(data=[MyObject()] * 2)
1003>           write(self.coll, df_in)
1004
1005test/test_polars.py:270: 
1006_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
1007pymongoarrow/api.py:467: in write
1008    _validate_schema(tabular.schema.types)
1009_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
1010
1011    def _validate_schema(schema):
1012        for i in schema:
1013            if not _in_type_map(i):
1014                msg = f'Unsupported data type "{i}" in schema'
1015>               raise ValueError(msg)
1016E               ValueError: Unsupported data type "fixed_size_binary[8]" in schema
1017
1018pymongoarrow/types.py:339: ValueError