semvec/pypi-packages huggingface dataset:
pygame-networking 0.0.1
Python networking library perfect for use with pygame!
Requires Python: >=3.9

Python networking library perfect for use with pygame!

on server-side you must create a server using the `Server` class
<br>
<br>
follow the example below!
<br>
be sure to replace `192.168.1.52` with a string containing the server IP
and replace `8080` with an integer containing the server port

```
from pygame_networking import Server
server = Server()
server.serve(("192.168.1.52", 8080))

```

To create data that is synced across all clients, You can use the `sync` method


```
from pygame_networking import Server
server = Server()

server.sync("my_variable", "my_data")

server.serve(("192.168.1.52", 8080))

```

replace "my_variable" with a string containing the name you want
<br>
replace "my_data" with a string containing the data the variable is initialized with

NOTE: variable data must always be string, this module does not support any other types

<br>

On client-side you must use the `connect` method to establish a connection with the server

```
from pygame_networking import Server
server = Server()

server.connect(("192.168.1.52", 8080))

```
<br>

You can also use `sync` from client-side to declare new variables

```
from pygame_networking import Server
server = Server()

server.connect(("192.168.1.52", 8080))

server.sync("my_variable", "my_data")

```

<br>

use `get` and `set` to retrieve and modify variables

```
from pygame_networking import Server
server = Server()

server.connect(("192.168.1.52", 8080))

server.set("count", "1")

print(server.get("count"))

```
pysap-astro 0.0.3
Python Sparse data Analysis Package external ASTRO plugin.

Antoine Grigis <antoine.grigis@cea.fr>
Samuel Farrens <samuel.farrens@cea.fr>
Jean-Luc Starck <jl.stark@cea.fr>
Philippe Ciuciu <philippe.ciuciu@cea.fr>

Author-email: samuel.farrens@cea.fr
License: CeCILL-B
Platform: OS Independent
Classifier: C
Classifier: L
Classifier: A
Classifier: S
Classifier: S
Classifier: I
Classifier: F
Classifier: I
Classifier: E
Classifier: R
Classifier: S
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: sf_tools>=2.0.4


PySAP-Astro
===============

|CI| |codecov| |pypi|

.. |CI| image:: https://github.com/CEA-COSMIC/pysap-astro/workflows/CI/badge.svg
  :target: https://github.com/CEA-COSMIC/pysap-astro/actions?query=workflow%3ACI

.. |codecov| image:: https://codecov.io/gh/CEA-COSMIC/pysap-astro/branch/master/graph/badge.svg?token=XHJIQXV7AX
  :target: https://codecov.io/gh/CEA-COSMIC/pysap-astro

.. |pypi| image:: https://img.shields.io/pypi/v/pysap-astro
  :target: https://pypi.org/project/pysap-astro/

Python Sparse data Analysis Package external ASTRO plugin.

  This package is part of the PySAP plug-in framework and is not intended to
  work as a stand-alone package.

This work is made available by a community of people, among which the
CEA Neurospin UNATI and CEA CosmoStat laboratories, in particular A. Grigis,
J.-L. Starck, P. Ciuciu, and S. Farrens.


Important links
===============

- Official PySAP source code repo: https://github.com/CEA-COSMIC/pysap
- PySAP HTML documentation (last stable release): https://cea-cosmic.github.io/pysap