Example #1
0
    def test_string_to_arrow_bijection_for_primitive_types(self):
        supported_pyarrow_datatypes = [
            pa.timestamp("s"),
            pa.timestamp("ns", tz="America/New_York"),
            pa.string(),
            pa.int32(),
            pa.float64(),
        ]
        for dt in supported_pyarrow_datatypes:
            self.assertEqual(dt, string_to_arrow(_arrow_to_datasets_dtype(dt)))

        unsupported_pyarrow_datatypes = [pa.list_(pa.float64())]
        for dt in unsupported_pyarrow_datatypes:
            with self.assertRaises(ValueError):
                string_to_arrow(_arrow_to_datasets_dtype(dt))

        supported_datasets_dtypes = [
            "timestamp[ns]", "timestamp[ns, tz=+07:30]", "int32", "float64"
        ]
        for sdt in supported_datasets_dtypes:
            self.assertEqual(sdt,
                             _arrow_to_datasets_dtype(string_to_arrow(sdt)))

        unsupported_datasets_dtypes = [
            "timestamp[blob]", "timestamp[[ns]]", "timestamp[ns, tz=[ns]]",
            "int"
        ]
        for sdt in unsupported_datasets_dtypes:
            with self.assertRaises(ValueError):
                string_to_arrow(sdt)
Example #2
0
    def test_string_to_arrow_bijection_for_primitive_types(self):
        supported_pyarrow_datatypes = [
            pa.time32("s"),
            pa.time64("us"),
            pa.timestamp("s"),
            pa.timestamp("ns", tz="America/New_York"),
            pa.date32(),
            pa.date64(),
            pa.duration("s"),
            pa.decimal128(10, 2),
            pa.decimal256(40, -3),
            pa.string(),
            pa.int32(),
            pa.float64(),
        ]
        for dt in supported_pyarrow_datatypes:
            self.assertEqual(dt, string_to_arrow(_arrow_to_datasets_dtype(dt)))

        unsupported_pyarrow_datatypes = [pa.list_(pa.float64())]
        for dt in unsupported_pyarrow_datatypes:
            with self.assertRaises(ValueError):
                string_to_arrow(_arrow_to_datasets_dtype(dt))

        supported_datasets_dtypes = [
            "time32[s]",
            "timestamp[ns]",
            "timestamp[ns, tz=+07:30]",
            "duration[us]",
            "decimal128(30, -4)",
            "int32",
            "float64",
        ]
        for sdt in supported_datasets_dtypes:
            self.assertEqual(sdt,
                             _arrow_to_datasets_dtype(string_to_arrow(sdt)))

        unsupported_datasets_dtypes = [
            "time32[ns]",
            "timestamp[blob]",
            "timestamp[[ns]]",
            "timestamp[ns, tz=[ns]]",
            "duration[[us]]",
            "decimal20(30, -4)",
            "int",
        ]
        for sdt in unsupported_datasets_dtypes:
            with self.assertRaises(ValueError):
                string_to_arrow(sdt)