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/lib/python3.11/site-packages/numpy/typing/tests/data/reveal/ |
| Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal/shape_base.pyi |
import numpy as np
from numpy._typing import NDArray
from typing import Any
i8: np.int64
f8: np.float64
AR_b: NDArray[np.bool_]
AR_i8: NDArray[np.int64]
AR_f8: NDArray[np.float64]
AR_LIKE_f8: list[float]
reveal_type(np.take_along_axis(AR_f8, AR_i8, axis=1)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.take_along_axis(f8, AR_i8, axis=None)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.put_along_axis(AR_f8, AR_i8, "1.0", axis=1)) # E: None
reveal_type(np.expand_dims(AR_i8, 2)) # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.expand_dims(AR_LIKE_f8, 2)) # E: ndarray[Any, dtype[Any]]
reveal_type(np.column_stack([AR_i8])) # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.column_stack([AR_LIKE_f8])) # E: ndarray[Any, dtype[Any]]
reveal_type(np.dstack([AR_i8])) # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.dstack([AR_LIKE_f8])) # E: ndarray[Any, dtype[Any]]
reveal_type(np.row_stack([AR_i8])) # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.row_stack([AR_LIKE_f8])) # E: ndarray[Any, dtype[Any]]
reveal_type(np.array_split(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]]
reveal_type(np.array_split(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]]
reveal_type(np.split(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]]
reveal_type(np.split(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]]
reveal_type(np.hsplit(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]]
reveal_type(np.hsplit(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]]
reveal_type(np.vsplit(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]]
reveal_type(np.vsplit(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]]
reveal_type(np.dsplit(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]]
reveal_type(np.dsplit(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]]
reveal_type(np.lib.shape_base.get_array_prepare(AR_i8)) # E: lib.shape_base._ArrayPrepare
reveal_type(np.lib.shape_base.get_array_prepare(AR_i8, 1)) # E: Union[None, lib.shape_base._ArrayPrepare]
reveal_type(np.get_array_wrap(AR_i8)) # E: lib.shape_base._ArrayWrap
reveal_type(np.get_array_wrap(AR_i8, 1)) # E: Union[None, lib.shape_base._ArrayWrap]
reveal_type(np.kron(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]]
reveal_type(np.kron(AR_b, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.kron(AR_f8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.tile(AR_i8, 5)) # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.tile(AR_LIKE_f8, [2, 2])) # E: ndarray[Any, dtype[Any]]
|