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How to use _get_mypy_errors method in pandera

Best Python code snippet using pandera_python

test_static_type_checking.py

Source:test_static_type_checking.py

...13import pytest14import pandera as pa15from tests.mypy.modules import pandas_dataframe16test_module_dir = Path(os.path.dirname(__file__))17def _get_mypy_errors(stdout) -> typing.Dict[int, typing.Dict[str, str]]:18    """Parse line number and error message."""19    errors: typing.Dict[int, typing.Dict[str, typing.Any]] = {}20    # last line is summary of errors21    for error in [x for x in stdout.split("\n") if x != ""][:-1]:22        matches = re.match(23            r".+\.py:(?P<lineno>\d+): error: (?P<msg>.+)  \[(?P<errcode>.+)\]",24            error,25        )26        if matches is not None:27            match_dict = matches.groupdict()28            errors[int(match_dict["lineno"])] = {29                "msg": match_dict["msg"],30                "errcode": match_dict["errcode"],31            }32    return errors33def test_mypy_pandas_dataframe(capfd) -> None:34    """Test that mypy raises expected errors on pandera-decorated functions."""35    # pylint: disable=subprocess-run-check36    subprocess.run(37        [38            sys.executable,39            "-m",40            "mypy",41            str(test_module_dir / "modules" / "pandas_dataframe.py"),42        ],43        text=True,44    )45    errors = _get_mypy_errors(capfd.readouterr().out)46    # assert error messages on particular lines of code47    assert errors[35] == {48        "msg": (49            'Argument 1 to "pipe" of "NDFrame" has incompatible type '50            '"Type[DataFrame[Any]]"; expected '51            '"Union[Callable[..., DataFrame[SchemaOut]], '52            'Tuple[Callable[..., DataFrame[SchemaOut]], str]]"'53        ),54        "errcode": "arg-type",55    }56    assert errors[41] == {57        "msg": (58            "Incompatible return value type (got "59            '"pandas.core.frame.DataFrame", expected '60            '"pandera.typing.pandas.DataFrame[SchemaOut]")'61        ),62        "errcode": "return-value",63    }64    assert errors[54] == {65        "msg": (66            'Argument 1 to "fn" has incompatible type '67            '"pandas.core.frame.DataFrame"; expected '68            '"pandera.typing.pandas.DataFrame[Schema]"'69        ),70        "errcode": "arg-type",71    }72    assert errors[58] == {73        "msg": (74            'Argument 1 to "fn" has incompatible type '75            '"DataFrame[AnotherSchema]"; expected "DataFrame[Schema]"'76        ),77        "errcode": "arg-type",78    }79@pytest.mark.parametrize(80    "fn",81    [82        pandas_dataframe.fn_mutate_inplace,83        pandas_dataframe.fn_assign_and_get_index,84        pandas_dataframe.fn_cast_dataframe_invalid,85    ],86)87def test_pandera_runtime_errors(fn) -> None:88    """Test that pandera catches cases that mypy doesn't catch."""89    # both functions don't add a required column "age"90    try:91        fn(pandas_dataframe.schema_df)92    except pa.errors.SchemaError as e:93        assert e.failure_cases["failure_case"].item() == "age"94# pylint: disable=line-too-long95PANDAS_CONCAT_FALSE_POSITIVES = {96    13: {97        "msg": 'No overload variant of "concat" matches argument type "Generator[DataFrame, None, None]"',  # noqa98        "errcode": "call-overload",99    },100    16: {101        "msg": 'No overload variant of "concat" matches argument type "Generator[Series, None, None]"',  # noqa102        "errcode": "call-overload",103    },104}105PANDAS_TIME_FALSE_POSITIVES = {106    4: {107        "msg": 'Unsupported operand types for + ("Timestamp" and "YearEnd")',  # noqa108        "errcode": "operator",109    },110    6: {111        "msg": 'Missing positional argument "value" in call to "Timedelta"',  # noqa112        "errcode": "call-arg",113    },114    9: {115        "msg": 'Missing positional argument "value" in call to "Timedelta"',  # noqa116        "errcode": "call-arg",117    },118    10: {119        "msg": 'Argument 1 to "Timedelta" has incompatible type "float"; expected "Union[Timedelta, timedelta, timedelta64, str, int]"',  # noqa120        "errcode": "arg-type",121    },122}123@pytest.mark.parametrize(124    "module,config,expected_errors",125    [126        ["pandas_concat.py", None, PANDAS_CONCAT_FALSE_POSITIVES],127        ["pandas_concat.py", "plugin_mypy.ini", {}],128        ["pandas_time.py", None, PANDAS_TIME_FALSE_POSITIVES],129        ["pandas_time.py", "plugin_mypy.ini", {}],130    ],131)132def test_pandas_stubs_false_positives(133    capfd,134    module,135    config,136    expected_errors,137) -> None:138    """Test pandas-stubs type stub false positives."""139    if config is None:140        cache_dir = str(test_module_dir / ".mypy_cache" / "test-mypy-default")141    else:142        cache_dir = str(test_module_dir / ".mypy_cache" / f"test-{config}")143    commands = [144        sys.executable,145        "-m",146        "mypy",147        str(test_module_dir / "modules" / module),148        "--cache-dir",149        cache_dir,150    ]151    if config:152        commands += ["--config-file", str(test_module_dir / "config" / config)]153    # pylint: disable=subprocess-run-check154    subprocess.run(155        commands,156        text=True,157    )158    resulting_errors = _get_mypy_errors(capfd.readouterr().out)159    assert resulting_errors == expected_errors160@pytest.mark.parametrize("module", ["pandas_concat", "pandas_time"])161def test_pandas_modules_importable(module):162    """Make sure that static type linting modules can be executed."""...

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