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How to use test_pickling_parser_error method in pandera

Best Python code snippet using pandera_python

test_errors.py

Source:test_errors.py

...234        assert exc_unpickled.error_counts == exc_native.error_counts235        assert exc_unpickled.failure_cases == str(exc_native.failure_cases)236        assert exc_unpickled.data == str(exc_native.data)237@pytest.mark.filterwarnings("ignore:Pickling ParserError")238def test_pickling_parser_error():239    """Test pickling behavior of ParserError."""240    try:241        pandas_engine.Engine.dtype(int).try_coerce(pd.Series(["a", 0, "b"]))242    except ParserError as exc:243        pickled = pickle.dumps(exc)244        # must be non-empty byte-array245        assert pickled246        unpickled = pickle.loads(pickled)247        assert str(unpickled) == str(exc)248        assert unpickled.failure_cases == str(exc.failure_cases)249    else:...

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