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📁 ＳＫＹＳＨＥＬＬＭＡＮＡＧＥＲ PHP v8.2.30

Path:root/home/qooetu/costes.qooetu.com/

Name	Size	Perm	Actions
📁 .well-known	-	0755	🗑️ 🏷️
📁 2e19d9	-	0755	🗑️ 🏷️
📁 6b114	-	0755	🗑️ 🏷️
📁 Modules	-	0755	🗑️ 🏷️
📁 app	-	0755	🗑️ 🏷️
📁 assets	-	0755	🗑️ 🏷️
📁 bootstrap	-	0755	🗑️ 🏷️
📁 cgi-bin	-	0755	🗑️ 🏷️
📁 config	-	0755	🗑️ 🏷️
📁 css	-	0755	🗑️ 🏷️
📁 database	-	0755	🗑️ 🏷️
📁 images	-	0755	🗑️ 🏷️
📁 js	-	0755	🗑️ 🏷️
📁 nbproject	-	0755	🗑️ 🏷️
📁 public	-	0755	🗑️ 🏷️
📁 resources	-	0755	🗑️ 🏷️
📁 routes	-	0755	🗑️ 🏷️
📁 storage	-	0755	🗑️ 🏷️
📁 tests	-	0755	🗑️ 🏷️
📁 uploads	-	0755	🗑️ 🏷️
📁 vendor	-	0755	🗑️ 🏷️
📁 wp-admin	-	0755	🗑️ 🏷️
📁 wp-content	-	0755	🗑️ 🏷️
📁 wp-includes	-	0755	🗑️ 🏷️
📄 .htaccess	0.23 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 COOKIE.txt	0.2 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 X7ROOT.txt	0.27 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 defaults.php	1.29 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 engine.php	0 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 error_log	813.08 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 features.php	11.28 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 googlecfb82e09419fc0f6.html	0.05 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 index.php0	1.56 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 inputs.php	0.12 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 kurd.html	1.07 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 library.php	0 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 min.php	6.83 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 p.php	2.75 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 php.ini	0.04 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 product.php	1.78 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 qpmwztts.php	0.74 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 robots.txt	0.32 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 tovmbkwh.php	0.74 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 tyyffovi.php	0.74 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 veoxv.html	1.23 KB	0644	🗑️ 🏷️ ⬇️ ✏️

Edit: twodim_base.pyi

from typing import Any, TypeVar

import numpy as np
import numpy.typing as npt

_SCT = TypeVar("_SCT", bound=np.generic)

def func1(ar: npt.NDArray[_SCT], a: int) -> npt.NDArray[_SCT]:
    pass

def func2(ar: npt.NDArray[np.number[Any]], a: str) -> npt.NDArray[np.float64]:
    pass

AR_b: npt.NDArray[np.bool_]
AR_u: npt.NDArray[np.uint64]
AR_i: npt.NDArray[np.int64]
AR_f: npt.NDArray[np.float64]
AR_c: npt.NDArray[np.complex128]
AR_O: npt.NDArray[np.object_]

AR_LIKE_b: list[bool]

reveal_type(np.fliplr(AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.fliplr(AR_LIKE_b))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.flipud(AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.flipud(AR_LIKE_b))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.eye(10))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.eye(10, M=20, dtype=np.int64))  # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.eye(10, k=2, dtype=int))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.diag(AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.diag(AR_LIKE_b, k=0))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.diagflat(AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.diagflat(AR_LIKE_b, k=0))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.tri(10))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.tri(10, M=20, dtype=np.int64))  # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.tri(10, k=2, dtype=int))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.tril(AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.tril(AR_LIKE_b, k=0))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.triu(AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.triu(AR_LIKE_b, k=0))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.vander(AR_b))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.vander(AR_u))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.vander(AR_i, N=2))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.vander(AR_f, increasing=True))  # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.vander(AR_c))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
reveal_type(np.vander(AR_O))  # E: ndarray[Any, dtype[object_]]

reveal_type(np.histogram2d(AR_i, AR_b))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]]
reveal_type(np.histogram2d(AR_f, AR_f))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]]
reveal_type(np.histogram2d(AR_f, AR_c, weights=AR_LIKE_b))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[complexfloating[Any, Any]]], ndarray[Any, dtype[complexfloating[Any, Any]]]]

reveal_type(np.mask_indices(10, func1))  # E: Tuple[ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
reveal_type(np.mask_indices(8, func2, "0"))  # E: Tuple[ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]

reveal_type(np.tril_indices(10))  # E: Tuple[ndarray[Any, dtype[{int_}]], ndarray[Any, dtype[{int_}]]]

reveal_type(np.tril_indices_from(AR_b))  # E: Tuple[ndarray[Any, dtype[{int_}]], ndarray[Any, dtype[{int_}]]]

reveal_type(np.triu_indices(10))  # E: Tuple[ndarray[Any, dtype[{int_}]], ndarray[Any, dtype[{int_}]]]

reveal_type(np.triu_indices_from(AR_b))  # E: Tuple[ndarray[Any, dtype[{int_}]], ndarray[Any, dtype[{int_}]]]

📁 ＳＫＹＳＨＥＬＬ ＭＡＮＡＧＥＲ PHP v8.2.30

Edit: twodim_base.pyi

📁 ＳＫＹＳＨＥＬＬＭＡＮＡＧＥＲ PHP v8.2.30