晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。   林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。   见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝)   既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。   南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。 sh-3ll

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# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt

from __future__ import annotations

import sys
from typing import TYPE_CHECKING, Any, Callable, Generator, TypeVar, Union

if TYPE_CHECKING:
    from astroid import bases, exceptions, nodes, transforms, util
    from astroid.context import InferenceContext
    from astroid.interpreter._import import spec

if sys.version_info >= (3, 8):
    from typing import TypedDict
else:
    from typing_extensions import TypedDict

_NodesT = TypeVar("_NodesT", bound="nodes.NodeNG")


class InferenceErrorInfo(TypedDict):
    """Store additional Inference error information
    raised with StopIteration exception.
    """

    node: nodes.NodeNG
    context: InferenceContext | None


InferFn = Callable[..., Any]


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
    extension_package_whitelist: set[str]
    _transform: transforms.TransformVisitor


InferenceResult = Union["nodes.NodeNG", "util.UninferableBase", "bases.Proxy"]
SuccessfulInferenceResult = Union["nodes.NodeNG", "bases.Proxy"]

ConstFactoryResult = Union[
    "nodes.List",
    "nodes.Set",
    "nodes.Tuple",
    "nodes.Dict",
    "nodes.Const",
    "nodes.EmptyNode",
]

InferBinaryOp = Callable[
    [
        Union[_NodesT, "bases.Instance"],
        Union["nodes.AugAssign", "nodes.BinOp"],
        str,
        InferenceResult,
        "InferenceContext",
        SuccessfulInferenceResult,
    ],
    Generator[InferenceResult, None, None],
]