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How to use test_equality_operators_functional_equivalence method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py

...320    not_equal_check = Check(lambda x: x.isna().sum() == 0)321    assert check == copy.deepcopy(check)322    assert check != not_equal_check323    assert check != "not a check"324def test_equality_operators_functional_equivalence() -> None:325    """Test the usage of == for Checks where the Check callable object has326    the same implementation."""327    main_check = Check(lambda g: g["foo"]["col1"].iat[0] == 1, groupby="col3")328    same_check = Check(lambda h: h["foo"]["col1"].iat[0] == 1, groupby="col3")329    assert main_check == same_check330def test_raise_warning_series() -> None:331    """Test that checks with raise_warning=True raise a warning."""332    data = pd.Series([-1, -2, -3])333    error_schema = SeriesSchema(checks=Check(lambda s: s > 0))334    warning_schema = SeriesSchema(335        checks=Check(lambda s: s > 0, raise_warning=True)336    )337    with pytest.raises(errors.SchemaError):338        error_schema(data)...

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