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How to use normalize_mark_list method in Pytest

Best Python code snippet using pytest

structures.py

Source:structures.py

...201    """202    mark_list = getattr(obj, "pytestmark", [])203    if not isinstance(mark_list, list):204        mark_list = [mark_list]205    return normalize_mark_list(mark_list)206def normalize_mark_list(mark_list):207    """208    normalizes marker decorating helpers to mark objects209    :type mark_list: List[Union[Mark, Markdecorator]]210    :rtype: List[Mark]211    """212    extracted = [213        getattr(mark, "mark", mark) for mark in mark_list214    ]  # unpack MarkDecorator215    for mark in extracted:216        if not isinstance(mark, Mark):217            raise TypeError("got {!r} instead of Mark".format(mark))218    return [x for x in extracted if isinstance(x, Mark)]219def store_mark(obj, mark):220    """store a Mark on an object...

__init__.pyi

Source:__init__.pyi

...107    """108    obtain the unpacked marks that are stored on an object109    """110    ...111def normalize_mark_list(mark_list):112    """113    normalizes marker decorating helpers to mark objects114    :type mark_list: List[Union[Mark, Markdecorator]]115    :rtype: List[Mark]116    """117    ...118def store_mark(obj, mark):119    """store a Mark on an object120    this is used to implement the Mark declarations/decorators correctly121    """122    ...123class MarkGenerator(object):124    """ Factory for :class:`MarkDecorator` objects - exposed as125    a ``pytest.mark`` singleton instance.  Example::...

pytest_paramark.py

Source:pytest_paramark.py

...102            getattr(self, valtype_for_arg)[arg] = val103            self.indices[arg] = param_index104            self._arg2scopenum[arg] = scopenum105        self._idlist.append(id)106        self.marks.extend(normalize_mark_list(marks))107    python.CallSpec2.setmulti2 = setmulti2108    # Monkeypatch pytest to add fixture(indirect=) argument109    #110    # This is needed to provide empty defaults in request.params when111    # test function is not explicitly parametrized112    _fixture = pytest.fixture113    def fixture(*args, indirect=False, **kwargs):114        decorator = _fixture(*args, **kwargs)115        if isinstance(decorator, fixtures.FixtureFunctionMarker):116            def decorate(function):117                function.__indirect__ = indirect118                return decorator(function)119            return decorate120        return decorator...

structures.pyi

Source:structures.pyi

...42    def __le__(self, other: Any) -> Any: ...43    def __gt__(self, other: Any) -> Any: ...44    def __ge__(self, other: Any) -> Any: ...45def get_unpacked_marks(obj: Any) -> List[Mark]: ...46def normalize_mark_list(mark_list: Iterable[Union[Mark, MarkDecorator]]) -> List[Mark]: ...47def store_mark(obj: Any, mark: Mark) -> None: ...48class _SkipMarkDecorator(MarkDecorator):49    def __call__(self, reason: str=...) -> MarkDecorator: ...50class _SkipifMarkDecorator(MarkDecorator):51    def __call__(self, condition: Union[str, bool]=..., *conditions: Union[str, bool], reason: str=...) -> MarkDecorator: ...52class _XfailMarkDecorator(MarkDecorator):53    def __call__(self, condition: Union[str, bool]=..., *conditions: Union[str, bool], reason: str=..., run: bool=..., raises: Union[Type[BaseException], Tuple[Type[BaseException], ...]]=..., strict: bool=...) -> MarkDecorator: ...54class _ParametrizeMarkDecorator(MarkDecorator):55    def __call__(self, argnames: Union[str, List[str], Tuple[str, ...]], argvalues: Iterable[Union[ParameterSet, Sequence[object], object]], *, indirect: Union[bool, Sequence[str]]=..., ids: Optional[Union[Iterable[Union[None, str, float, int, bool]], Callable[[Any], Optional[object]]]]=..., scope: Optional[_Scope]=...) -> MarkDecorator: ...56class _UsefixturesMarkDecorator(MarkDecorator):57    def __call__(self, *fixtures: str) -> MarkDecorator: ...58class _FilterwarningsMarkDecorator(MarkDecorator):59    def __call__(self, *filters: str) -> MarkDecorator: ...60class MarkGenerator:...

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Pytest Parameterized tests: Create and run your pytest scripts while avoiding code duplication and increasing test coverage with parameterization.
Pytest Fixtures: Check out how to implement pytest fixtures for your end-to-end testing needs.
Execute Multiple Test Cases: Explore different scenarios for running multiple test cases in pytest from a single file.
Stop Test Suite after N Test Failures: See how to stop your test suite after n test failures in pytest using the @pytest.mark.incremental decorator and maxfail command-line option.