forked from bton/matekasse
616 lines
21 KiB
Python
616 lines
21 KiB
Python
import collections.abc
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import dataclasses
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import inspect
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import warnings
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from typing import Any
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from typing import Callable
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from typing import Collection
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from typing import Iterable
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from typing import Iterator
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from typing import List
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from typing import Mapping
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from typing import MutableMapping
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from typing import NamedTuple
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from typing import Optional
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from typing import overload
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from typing import Sequence
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from typing import Set
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from typing import Tuple
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from typing import Type
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from typing import TYPE_CHECKING
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from typing import TypeVar
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from typing import Union
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from .._code import getfslineno
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from ..compat import ascii_escaped
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from ..compat import final
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from ..compat import NOTSET
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from ..compat import NotSetType
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from _pytest.config import Config
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from _pytest.deprecated import check_ispytest
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from _pytest.outcomes import fail
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from _pytest.warning_types import PytestUnknownMarkWarning
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if TYPE_CHECKING:
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from ..nodes import Node
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EMPTY_PARAMETERSET_OPTION = "empty_parameter_set_mark"
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def istestfunc(func) -> bool:
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return callable(func) and getattr(func, "__name__", "<lambda>") != "<lambda>"
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def get_empty_parameterset_mark(
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config: Config, argnames: Sequence[str], func
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) -> "MarkDecorator":
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from ..nodes import Collector
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fs, lineno = getfslineno(func)
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reason = "got empty parameter set %r, function %s at %s:%d" % (
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argnames,
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func.__name__,
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fs,
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lineno,
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)
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requested_mark = config.getini(EMPTY_PARAMETERSET_OPTION)
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if requested_mark in ("", None, "skip"):
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mark = MARK_GEN.skip(reason=reason)
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elif requested_mark == "xfail":
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mark = MARK_GEN.xfail(reason=reason, run=False)
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elif requested_mark == "fail_at_collect":
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f_name = func.__name__
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_, lineno = getfslineno(func)
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raise Collector.CollectError(
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"Empty parameter set in '%s' at line %d" % (f_name, lineno + 1)
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)
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else:
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raise LookupError(requested_mark)
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return mark
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class ParameterSet(NamedTuple):
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values: Sequence[Union[object, NotSetType]]
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marks: Collection[Union["MarkDecorator", "Mark"]]
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id: Optional[str]
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@classmethod
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def param(
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cls,
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*values: object,
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marks: Union["MarkDecorator", Collection[Union["MarkDecorator", "Mark"]]] = (),
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id: Optional[str] = None,
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) -> "ParameterSet":
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if isinstance(marks, MarkDecorator):
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marks = (marks,)
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else:
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assert isinstance(marks, collections.abc.Collection)
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if id is not None:
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if not isinstance(id, str):
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raise TypeError(f"Expected id to be a string, got {type(id)}: {id!r}")
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id = ascii_escaped(id)
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return cls(values, marks, id)
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@classmethod
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def extract_from(
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cls,
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parameterset: Union["ParameterSet", Sequence[object], object],
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force_tuple: bool = False,
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) -> "ParameterSet":
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"""Extract from an object or objects.
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:param parameterset:
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A legacy style parameterset that may or may not be a tuple,
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and may or may not be wrapped into a mess of mark objects.
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:param force_tuple:
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Enforce tuple wrapping so single argument tuple values
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don't get decomposed and break tests.
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"""
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if isinstance(parameterset, cls):
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return parameterset
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if force_tuple:
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return cls.param(parameterset)
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else:
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# TODO: Refactor to fix this type-ignore. Currently the following
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# passes type-checking but crashes:
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#
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# @pytest.mark.parametrize(('x', 'y'), [1, 2])
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# def test_foo(x, y): pass
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return cls(parameterset, marks=[], id=None) # type: ignore[arg-type]
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@staticmethod
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def _parse_parametrize_args(
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argnames: Union[str, Sequence[str]],
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argvalues: Iterable[Union["ParameterSet", Sequence[object], object]],
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*args,
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**kwargs,
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) -> Tuple[Sequence[str], bool]:
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if isinstance(argnames, str):
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argnames = [x.strip() for x in argnames.split(",") if x.strip()]
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force_tuple = len(argnames) == 1
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else:
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force_tuple = False
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return argnames, force_tuple
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@staticmethod
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def _parse_parametrize_parameters(
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argvalues: Iterable[Union["ParameterSet", Sequence[object], object]],
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force_tuple: bool,
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) -> List["ParameterSet"]:
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return [
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ParameterSet.extract_from(x, force_tuple=force_tuple) for x in argvalues
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]
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@classmethod
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def _for_parametrize(
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cls,
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argnames: Union[str, Sequence[str]],
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argvalues: Iterable[Union["ParameterSet", Sequence[object], object]],
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func,
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config: Config,
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nodeid: str,
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) -> Tuple[Sequence[str], List["ParameterSet"]]:
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argnames, force_tuple = cls._parse_parametrize_args(argnames, argvalues)
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parameters = cls._parse_parametrize_parameters(argvalues, force_tuple)
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del argvalues
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if parameters:
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# Check all parameter sets have the correct number of values.
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for param in parameters:
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if len(param.values) != len(argnames):
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msg = (
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'{nodeid}: in "parametrize" the number of names ({names_len}):\n'
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" {names}\n"
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"must be equal to the number of values ({values_len}):\n"
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" {values}"
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)
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fail(
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msg.format(
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nodeid=nodeid,
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values=param.values,
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names=argnames,
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names_len=len(argnames),
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values_len=len(param.values),
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),
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pytrace=False,
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)
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else:
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# Empty parameter set (likely computed at runtime): create a single
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# parameter set with NOTSET values, with the "empty parameter set" mark applied to it.
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mark = get_empty_parameterset_mark(config, argnames, func)
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parameters.append(
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ParameterSet(values=(NOTSET,) * len(argnames), marks=[mark], id=None)
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)
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return argnames, parameters
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@final
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@dataclasses.dataclass(frozen=True)
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class Mark:
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"""A pytest mark."""
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#: Name of the mark.
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name: str
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#: Positional arguments of the mark decorator.
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args: Tuple[Any, ...]
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#: Keyword arguments of the mark decorator.
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kwargs: Mapping[str, Any]
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#: Source Mark for ids with parametrize Marks.
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_param_ids_from: Optional["Mark"] = dataclasses.field(default=None, repr=False)
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#: Resolved/generated ids with parametrize Marks.
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_param_ids_generated: Optional[Sequence[str]] = dataclasses.field(
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default=None, repr=False
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)
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def __init__(
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self,
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name: str,
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args: Tuple[Any, ...],
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kwargs: Mapping[str, Any],
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param_ids_from: Optional["Mark"] = None,
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param_ids_generated: Optional[Sequence[str]] = None,
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*,
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_ispytest: bool = False,
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) -> None:
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""":meta private:"""
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check_ispytest(_ispytest)
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# Weirdness to bypass frozen=True.
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object.__setattr__(self, "name", name)
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object.__setattr__(self, "args", args)
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object.__setattr__(self, "kwargs", kwargs)
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object.__setattr__(self, "_param_ids_from", param_ids_from)
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object.__setattr__(self, "_param_ids_generated", param_ids_generated)
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def _has_param_ids(self) -> bool:
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return "ids" in self.kwargs or len(self.args) >= 4
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def combined_with(self, other: "Mark") -> "Mark":
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"""Return a new Mark which is a combination of this
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Mark and another Mark.
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Combines by appending args and merging kwargs.
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:param Mark other: The mark to combine with.
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:rtype: Mark
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"""
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assert self.name == other.name
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# Remember source of ids with parametrize Marks.
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param_ids_from: Optional[Mark] = None
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if self.name == "parametrize":
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if other._has_param_ids():
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param_ids_from = other
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elif self._has_param_ids():
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param_ids_from = self
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return Mark(
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self.name,
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self.args + other.args,
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dict(self.kwargs, **other.kwargs),
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param_ids_from=param_ids_from,
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_ispytest=True,
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)
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# A generic parameter designating an object to which a Mark may
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# be applied -- a test function (callable) or class.
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# Note: a lambda is not allowed, but this can't be represented.
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Markable = TypeVar("Markable", bound=Union[Callable[..., object], type])
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@dataclasses.dataclass
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class MarkDecorator:
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"""A decorator for applying a mark on test functions and classes.
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``MarkDecorators`` are created with ``pytest.mark``::
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mark1 = pytest.mark.NAME # Simple MarkDecorator
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mark2 = pytest.mark.NAME(name1=value) # Parametrized MarkDecorator
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and can then be applied as decorators to test functions::
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@mark2
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def test_function():
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pass
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When a ``MarkDecorator`` is called, it does the following:
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1. If called with a single class as its only positional argument and no
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additional keyword arguments, it attaches the mark to the class so it
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gets applied automatically to all test cases found in that class.
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2. If called with a single function as its only positional argument and
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no additional keyword arguments, it attaches the mark to the function,
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containing all the arguments already stored internally in the
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``MarkDecorator``.
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3. When called in any other case, it returns a new ``MarkDecorator``
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instance with the original ``MarkDecorator``'s content updated with
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the arguments passed to this call.
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Note: The rules above prevent a ``MarkDecorator`` from storing only a
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single function or class reference as its positional argument with no
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additional keyword or positional arguments. You can work around this by
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using `with_args()`.
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"""
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mark: Mark
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def __init__(self, mark: Mark, *, _ispytest: bool = False) -> None:
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""":meta private:"""
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check_ispytest(_ispytest)
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self.mark = mark
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@property
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def name(self) -> str:
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"""Alias for mark.name."""
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return self.mark.name
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@property
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def args(self) -> Tuple[Any, ...]:
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"""Alias for mark.args."""
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return self.mark.args
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@property
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def kwargs(self) -> Mapping[str, Any]:
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"""Alias for mark.kwargs."""
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return self.mark.kwargs
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@property
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def markname(self) -> str:
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""":meta private:"""
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return self.name # for backward-compat (2.4.1 had this attr)
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def with_args(self, *args: object, **kwargs: object) -> "MarkDecorator":
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"""Return a MarkDecorator with extra arguments added.
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Unlike calling the MarkDecorator, with_args() can be used even
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if the sole argument is a callable/class.
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"""
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mark = Mark(self.name, args, kwargs, _ispytest=True)
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return MarkDecorator(self.mark.combined_with(mark), _ispytest=True)
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# Type ignored because the overloads overlap with an incompatible
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# return type. Not much we can do about that. Thankfully mypy picks
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# the first match so it works out even if we break the rules.
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@overload
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def __call__(self, arg: Markable) -> Markable: # type: ignore[misc]
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pass
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@overload
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def __call__(self, *args: object, **kwargs: object) -> "MarkDecorator":
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pass
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def __call__(self, *args: object, **kwargs: object):
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"""Call the MarkDecorator."""
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if args and not kwargs:
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func = args[0]
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is_class = inspect.isclass(func)
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if len(args) == 1 and (istestfunc(func) or is_class):
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store_mark(func, self.mark)
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return func
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return self.with_args(*args, **kwargs)
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def get_unpacked_marks(
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obj: Union[object, type],
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*,
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consider_mro: bool = True,
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) -> List[Mark]:
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"""Obtain the unpacked marks that are stored on an object.
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If obj is a class and consider_mro is true, return marks applied to
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this class and all of its super-classes in MRO order. If consider_mro
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is false, only return marks applied directly to this class.
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"""
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if isinstance(obj, type):
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if not consider_mro:
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mark_lists = [obj.__dict__.get("pytestmark", [])]
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else:
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mark_lists = [x.__dict__.get("pytestmark", []) for x in obj.__mro__]
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mark_list = []
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for item in mark_lists:
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if isinstance(item, list):
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mark_list.extend(item)
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else:
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mark_list.append(item)
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else:
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mark_attribute = getattr(obj, "pytestmark", [])
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if isinstance(mark_attribute, list):
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mark_list = mark_attribute
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else:
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mark_list = [mark_attribute]
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return list(normalize_mark_list(mark_list))
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def normalize_mark_list(
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mark_list: Iterable[Union[Mark, MarkDecorator]]
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) -> Iterable[Mark]:
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"""
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Normalize an iterable of Mark or MarkDecorator objects into a list of marks
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by retrieving the `mark` attribute on MarkDecorator instances.
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:param mark_list: marks to normalize
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:returns: A new list of the extracted Mark objects
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"""
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for mark in mark_list:
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mark_obj = getattr(mark, "mark", mark)
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if not isinstance(mark_obj, Mark):
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raise TypeError(f"got {repr(mark_obj)} instead of Mark")
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yield mark_obj
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def store_mark(obj, mark: Mark) -> None:
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"""Store a Mark on an object.
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This is used to implement the Mark declarations/decorators correctly.
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"""
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assert isinstance(mark, Mark), mark
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# Always reassign name to avoid updating pytestmark in a reference that
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# was only borrowed.
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obj.pytestmark = [*get_unpacked_marks(obj, consider_mro=False), mark]
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# Typing for builtin pytest marks. This is cheating; it gives builtin marks
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# special privilege, and breaks modularity. But practicality beats purity...
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if TYPE_CHECKING:
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from _pytest.scope import _ScopeName
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class _SkipMarkDecorator(MarkDecorator):
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@overload # type: ignore[override,misc,no-overload-impl]
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def __call__(self, arg: Markable) -> Markable:
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...
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@overload
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def __call__(self, reason: str = ...) -> "MarkDecorator":
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...
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class _SkipifMarkDecorator(MarkDecorator):
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def __call__( # type: ignore[override]
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self,
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condition: Union[str, bool] = ...,
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*conditions: Union[str, bool],
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reason: str = ...,
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) -> MarkDecorator:
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...
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class _XfailMarkDecorator(MarkDecorator):
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@overload # type: ignore[override,misc,no-overload-impl]
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def __call__(self, arg: Markable) -> Markable:
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...
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@overload
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def __call__(
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self,
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condition: Union[str, bool] = ...,
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*conditions: Union[str, bool],
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reason: str = ...,
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run: bool = ...,
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raises: Union[Type[BaseException], Tuple[Type[BaseException], ...]] = ...,
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strict: bool = ...,
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) -> MarkDecorator:
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...
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class _ParametrizeMarkDecorator(MarkDecorator):
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def __call__( # type: ignore[override]
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self,
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argnames: Union[str, Sequence[str]],
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argvalues: Iterable[Union[ParameterSet, Sequence[object], object]],
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*,
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indirect: Union[bool, Sequence[str]] = ...,
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ids: Optional[
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Union[
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Iterable[Union[None, str, float, int, bool]],
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Callable[[Any], Optional[object]],
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]
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] = ...,
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scope: Optional[_ScopeName] = ...,
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) -> MarkDecorator:
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...
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class _UsefixturesMarkDecorator(MarkDecorator):
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def __call__(self, *fixtures: str) -> MarkDecorator: # type: ignore[override]
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...
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class _FilterwarningsMarkDecorator(MarkDecorator):
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def __call__(self, *filters: str) -> MarkDecorator: # type: ignore[override]
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...
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@final
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class MarkGenerator:
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"""Factory for :class:`MarkDecorator` objects - exposed as
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a ``pytest.mark`` singleton instance.
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Example::
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import pytest
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@pytest.mark.slowtest
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def test_function():
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pass
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applies a 'slowtest' :class:`Mark` on ``test_function``.
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"""
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# See TYPE_CHECKING above.
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if TYPE_CHECKING:
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skip: _SkipMarkDecorator
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skipif: _SkipifMarkDecorator
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xfail: _XfailMarkDecorator
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parametrize: _ParametrizeMarkDecorator
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usefixtures: _UsefixturesMarkDecorator
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filterwarnings: _FilterwarningsMarkDecorator
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def __init__(self, *, _ispytest: bool = False) -> None:
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check_ispytest(_ispytest)
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self._config: Optional[Config] = None
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self._markers: Set[str] = set()
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def __getattr__(self, name: str) -> MarkDecorator:
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"""Generate a new :class:`MarkDecorator` with the given name."""
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if name[0] == "_":
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raise AttributeError("Marker name must NOT start with underscore")
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if self._config is not None:
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# We store a set of markers as a performance optimisation - if a mark
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# name is in the set we definitely know it, but a mark may be known and
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# not in the set. We therefore start by updating the set!
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if name not in self._markers:
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for line in self._config.getini("markers"):
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# example lines: "skipif(condition): skip the given test if..."
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# or "hypothesis: tests which use Hypothesis", so to get the
|
|
# marker name we split on both `:` and `(`.
|
|
marker = line.split(":")[0].split("(")[0].strip()
|
|
self._markers.add(marker)
|
|
|
|
# If the name is not in the set of known marks after updating,
|
|
# then it really is time to issue a warning or an error.
|
|
if name not in self._markers:
|
|
if self._config.option.strict_markers or self._config.option.strict:
|
|
fail(
|
|
f"{name!r} not found in `markers` configuration option",
|
|
pytrace=False,
|
|
)
|
|
|
|
# Raise a specific error for common misspellings of "parametrize".
|
|
if name in ["parameterize", "parametrise", "parameterise"]:
|
|
__tracebackhide__ = True
|
|
fail(f"Unknown '{name}' mark, did you mean 'parametrize'?")
|
|
|
|
warnings.warn(
|
|
"Unknown pytest.mark.%s - is this a typo? You can register "
|
|
"custom marks to avoid this warning - for details, see "
|
|
"https://docs.pytest.org/en/stable/how-to/mark.html" % name,
|
|
PytestUnknownMarkWarning,
|
|
2,
|
|
)
|
|
|
|
return MarkDecorator(Mark(name, (), {}, _ispytest=True), _ispytest=True)
|
|
|
|
|
|
MARK_GEN = MarkGenerator(_ispytest=True)
|
|
|
|
|
|
@final
|
|
class NodeKeywords(MutableMapping[str, Any]):
|
|
__slots__ = ("node", "parent", "_markers")
|
|
|
|
def __init__(self, node: "Node") -> None:
|
|
self.node = node
|
|
self.parent = node.parent
|
|
self._markers = {node.name: True}
|
|
|
|
def __getitem__(self, key: str) -> Any:
|
|
try:
|
|
return self._markers[key]
|
|
except KeyError:
|
|
if self.parent is None:
|
|
raise
|
|
return self.parent.keywords[key]
|
|
|
|
def __setitem__(self, key: str, value: Any) -> None:
|
|
self._markers[key] = value
|
|
|
|
# Note: we could've avoided explicitly implementing some of the methods
|
|
# below and use the collections.abc fallback, but that would be slow.
|
|
|
|
def __contains__(self, key: object) -> bool:
|
|
return (
|
|
key in self._markers
|
|
or self.parent is not None
|
|
and key in self.parent.keywords
|
|
)
|
|
|
|
def update( # type: ignore[override]
|
|
self,
|
|
other: Union[Mapping[str, Any], Iterable[Tuple[str, Any]]] = (),
|
|
**kwds: Any,
|
|
) -> None:
|
|
self._markers.update(other)
|
|
self._markers.update(kwds)
|
|
|
|
def __delitem__(self, key: str) -> None:
|
|
raise ValueError("cannot delete key in keywords dict")
|
|
|
|
def __iter__(self) -> Iterator[str]:
|
|
# Doesn't need to be fast.
|
|
yield from self._markers
|
|
if self.parent is not None:
|
|
for keyword in self.parent.keywords:
|
|
# self._marks and self.parent.keywords can have duplicates.
|
|
if keyword not in self._markers:
|
|
yield keyword
|
|
|
|
def __len__(self) -> int:
|
|
# Doesn't need to be fast.
|
|
return sum(1 for keyword in self)
|
|
|
|
def __repr__(self) -> str:
|
|
return f"<NodeKeywords for node {self.node}>"
|