semvec/pypi-packages huggingface dataset:
torchwindow 1.1.0
Display tensors directly from GPU
License: MIT
Requires Python: >=3.8,<4.0

# TorchWindow

TorchWindow is a Python library that enables viewing of PyTorch Cuda Tensors on screen directly from GPU memory (No copying back and forth between GPU and CPU) via OpenGL-Cuda interop.

## Install

```
pip install torchwindow
```

## Use
To create a window
```
from torchwindow import Window
window = Window(640, 480, name="Torch Window")
```
To display an image tensor in the window
```
window.draw(image)
```
`image` must be a tensor with the following properties:
- 3 dimensions, specifically `(rows, columns, channels)` in that order.
- `channels` dimension must be of size 4 (r, g, b, a)

## Example
To check if torchwindow is properly installed try running
```
python3 -m torchwindow.example
```
You should see this window appear for 5 seconds before closing
![Example](example.png)
ocsp-check 0.0.16
Perform GET and POST OCSP checks.
License: MIT

# OCSP Check

Usage Syntax: ocsp_check --POST/--GET -c/-d/-f target

Method Parameters:  
    -p      Perform the OCSP request using an HTTP POST call (--POST works too)  
    -g      Perform the OCSP request using an HTTP GET call (--GET works too)  

Source Parameters:  
    -c      Use a crt.sh ID as target  
    -d      Use a domain / live website as target  
    -f      Use a local file containing a certificate as target  

Target Parameter: In place of target should be a crt.sh ID, domain/website (including https://) or local filename

ocsp_check version 0.0.16
Author: Martijn Katerbarg