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How to use test_different_unique_settings method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...1360        ("exclude_first", [4, 5, 6, 7]),1361        ("exclude_last", [0, 1, 2, 4]),1362    ],1363)1364def test_different_unique_settings(unique: UniqueSettings, answers: List[int]):1365    """Test that different unique settings work as expected"""1366    df = pd.DataFrame({"a": [1, 2, 3, 4, 1, 1, 2, 3]})1367    schemas = [1368        DataFrameSchema(1369            {"a": Column(int)}, unique="a", report_duplicates=unique1370        ),1371        DataFrameSchema(1372            {"a": Column(int, unique=True, report_duplicates=unique)}1373        ),1374    ]1375    for schema in schemas:1376        with pytest.raises(errors.SchemaError) as err:1377            schema.validate(df)1378        assert err.value.failure_cases["index"].to_list() == answers...

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