How to use test_pickling_parser_error method in pandera

Best Python code snippet using pandera_python

test_errors.py

Source:test_errors.py Github

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...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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