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。
| DIR:/opt/cloudlinux/venv/lib64/python3.11/site-packages/astroid/ |
| Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/astroid/typing.py |
# 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],
]
|