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/numpy/typing/tests/data/reveal/ |
| Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/typing/tests/data/reveal/matrix.pyi |
from typing import Any
import numpy as np
import numpy.typing as npt
mat: np.matrix[Any, np.dtype[np.int64]]
ar_f8: npt.NDArray[np.float64]
reveal_type(mat * 5) # E: matrix[Any, Any]
reveal_type(5 * mat) # E: matrix[Any, Any]
mat *= 5
reveal_type(mat**5) # E: matrix[Any, Any]
mat **= 5
reveal_type(mat.sum()) # E: Any
reveal_type(mat.mean()) # E: Any
reveal_type(mat.std()) # E: Any
reveal_type(mat.var()) # E: Any
reveal_type(mat.prod()) # E: Any
reveal_type(mat.any()) # E: bool_
reveal_type(mat.all()) # E: bool_
reveal_type(mat.max()) # E: {int64}
reveal_type(mat.min()) # E: {int64}
reveal_type(mat.argmax()) # E: {intp}
reveal_type(mat.argmin()) # E: {intp}
reveal_type(mat.ptp()) # E: {int64}
reveal_type(mat.sum(axis=0)) # E: matrix[Any, Any]
reveal_type(mat.mean(axis=0)) # E: matrix[Any, Any]
reveal_type(mat.std(axis=0)) # E: matrix[Any, Any]
reveal_type(mat.var(axis=0)) # E: matrix[Any, Any]
reveal_type(mat.prod(axis=0)) # E: matrix[Any, Any]
reveal_type(mat.any(axis=0)) # E: matrix[Any, dtype[bool_]]
reveal_type(mat.all(axis=0)) # E: matrix[Any, dtype[bool_]]
reveal_type(mat.max(axis=0)) # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.min(axis=0)) # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.argmax(axis=0)) # E: matrix[Any, dtype[{intp}]]
reveal_type(mat.argmin(axis=0)) # E: matrix[Any, dtype[{intp}]]
reveal_type(mat.ptp(axis=0)) # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.sum(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.mean(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.std(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.var(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.prod(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.any(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.all(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.max(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.min(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.argmax(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.argmin(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.ptp(out=ar_f8)) # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.T) # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.I) # E: matrix[Any, Any]
reveal_type(mat.A) # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.A1) # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.H) # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.getT()) # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.getI()) # E: matrix[Any, Any]
reveal_type(mat.getA()) # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.getA1()) # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.getH()) # E: matrix[Any, dtype[{int64}]]
reveal_type(np.bmat(ar_f8)) # E: matrix[Any, Any]
reveal_type(np.bmat([[0, 1, 2]])) # E: matrix[Any, Any]
reveal_type(np.bmat("mat")) # E: matrix[Any, Any]
reveal_type(np.asmatrix(ar_f8, dtype=np.int64)) # E: matrix[Any, Any]
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