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How to use test_valid_unique_settings method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...1382    assert err.value.failure_cases["index"].to_list() == answers1383@pytest.mark.parametrize(1384    "report_duplicates", ["all", "exclude_first", "exclude_last", "invalid"]1385)1386def test_valid_unique_settings(report_duplicates):1387    """Test that valid unique settings work and invalid ones will raise a ValueError"""1388    schema = DataFrameSchema(1389        {"a": Column(String)}, unique="a", report_duplicates=report_duplicates1390    )1391    df = pd.DataFrame({"a": ["A", "BC", "C", "C", "BC"]})1392    # If we're given an invalid value for report_duplicates, then it should raise a ValueError1393    if report_duplicates == "invalid":1394        with pytest.raises(ValueError):1395            schema.validate(df)1396    else:1397        with pytest.raises(errors.SchemaError) as err:1398            schema.validate(df)1399        # There are unique errors--assert that pandera reports them properly1400        # Actual content of the unique errors is tested in test_different_unique_settings...

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