/opt/imh-python/lib/python3.9/site-packages/astroid
NameSizeModeActions
brain/-0755rm
interpreter/-0755rm
nodes/-0755rm
__pycache__/-0755rm
arguments.py129900644editdlrm
astroid_manager.py7290644editdlrm
bases.py272980644editdlrm
builder.py187150644editdlrm
const.py6540644editdlrm
constraint.py50860644editdlrm
context.py63110644editdlrm
decorators.py84900644editdlrm
exceptions.py128170644editdlrm
filter_statements.py93870644editdlrm
helpers.py119060644editdlrm
inference_tip.py45860644editdlrm
manager.py187450644editdlrm
modutils.py229310644editdlrm
objects.py130130644editdlrm
protocols.py316260644editdlrm
raw_building.py254840644editdlrm
rebuilder.py682240644editdlrm
test_utils.py24740644editdlrm
transforms.py58360644editdlrm
typing.py27550644editdlrm
util.py48460644editdlrm
_ast.py30330644editdlrm
_backport_stdlib_names.py68860644editdlrm
__init__.py45460644editdlrm
__pkginfo__.py2830644editdlrm
Edit: /opt/imh-python/lib/python3.9/site-packages/astroid/typing.py (2755B)
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html # For details: https://github.com/pylint-dev/astroid/blob/main/LICENSE # Copyright (c) https://github.com/pylint-dev/astroid/blob/main/CONTRIBUTORS.txt from __future__ import annotations from collections.abc import Callable, Generator from typing import ( TYPE_CHECKING, Any, Generic, Protocol, TypedDict, TypeVar, Union, ) if TYPE_CHECKING: from collections.abc import Iterator from astroid import bases, exceptions, nodes, transforms, util from astroid.context import InferenceContext from astroid.interpreter._import import spec class InferenceErrorInfo(TypedDict): """Store additional Inference error information raised with StopIteration exception. """ node: nodes.NodeNG context: InferenceContext | None class AstroidManagerBrain(TypedDict): """Dictionary to store relevant information for a AstroidManager class.""" astroid_cache: dict[str, nodes.Module] _mod_file_cache: dict[ tuple[str, str | None], spec.ModuleSpec | exceptions.AstroidImportError ] _failed_import_hooks: list[Callable[[str], nodes.Module]] always_load_extensions: bool optimize_ast: bool max_inferable_values: int extension_package_whitelist: set[str] _transform: transforms.TransformVisitor InferenceResult = Union["nodes.NodeNG", "util.UninferableBase", "bases.Proxy"] SuccessfulInferenceResult = Union["nodes.NodeNG", "bases.Proxy"] _SuccessfulInferenceResultT = TypeVar( "_SuccessfulInferenceResultT", bound=SuccessfulInferenceResult ) _SuccessfulInferenceResultT_contra = TypeVar( "_SuccessfulInferenceResultT_contra", bound=SuccessfulInferenceResult, contravariant=True, ) ConstFactoryResult = Union[ "nodes.List", "nodes.Set", "nodes.Tuple", "nodes.Dict", "nodes.Const", "nodes.EmptyNode", ] InferBinaryOp = Callable[ [ _SuccessfulInferenceResultT, Union["nodes.AugAssign", "nodes.BinOp"], str, InferenceResult, "InferenceContext", SuccessfulInferenceResult, ], Generator[InferenceResult], ] class InferFn(Protocol, Generic[_SuccessfulInferenceResultT_contra]): def __call__( self, node: _SuccessfulInferenceResultT_contra, context: InferenceContext | None = None, **kwargs: Any, ) -> Iterator[InferenceResult]: ... # pragma: no cover class TransformFn(Protocol, Generic[_SuccessfulInferenceResultT]): def __call__( self, node: _SuccessfulInferenceResultT, infer_function: InferFn[_SuccessfulInferenceResultT] = ..., ) -> _SuccessfulInferenceResultT | None: ... # pragma: no cover