semvec/pypi-packages huggingface dataset:
djeasy 2.0.3
Django Deploy on Server
License: MIT
Keywords: django deploy on server

# Compatibility

* Django 1.8+
* Python 3.x +
* Python 2.x +
* Support OS : Ubuntu (Debian Derivatives)
* Centos (not yet)

You should check this package.

# **Installations**

    sudo apt-get install python-pip
    sudo apt-get install python3-pip
    sudo apt-get install virtualenv

# Package

    pip install djeasy
    #or
    pip3 install djeasy



# Configuration
This is important this project. Because your project doesn't match this directory doesn't work.
* You must add <b>requirements.txt</b>

# Example Project ;

    DjangoBlog
    ├── DjangoBlog
    │   ├── __init__.py
    │   ├── settings.py
    │   └── urls.py
    │   └── wsgi.py
    ├── Blog
    │    ├── __init__.py
    │    └── admin.py
    │    └── apps.py
    │    └── tests.py
    │    └── views.py
    requirements.txt ---> Add!!

Example requirements.txt : https://goo.gl/0Y9yCB

* Do not forget to add the **requirements.txt** file.

* Django Settings.py **ALLOWED_HOSTS = []**  server ip or domain add.

# DjEasy

    djeasy

 Output :

    --create                      Create a new site.
    --nginx                       Nginx restart

# Site Publishing Steps

* You must create virtualenv for your project and this package.
* NOT : You should know virtualenv name to use djeasy.

You can follow this;

    cd /home/ # as you wish. My recommended in your /home/ directory.

    virtualenv -p python3 DjangoEnv # example name : DjangoEnv

* Upload or clone your project in server directory like /home/


Example :

    cd /home/
    git clone https://github.com/AliYmn/aliyaman.org
    mv aliyaman.org DjangoBlog # to change name

* Let's run the package.

We'll finish the process in four steps.

    djeasy --create

 ***

* You can give any name you want for nginx and gunicorn name. But you should don't keep in mind names, because you'll use this for restart nginx and gunicorn.

 <img src="https://github.com/AliYmn/djeasy/raw/master/images/ex3.png"/>

NOT : You can write multiple site. For example, example1.com example2.com

Example;

    server ip or domain = 192.241.163.191 example.com blog.example.com
***

* Restart the server

Commands used ;

    --nginx                        Nginx restart
    gunicorn_name --gunicorn       Gunicorn restart

Example;

    djeasy --nginx
    djeasy DjangoBlog --gunicorn

Output;

 <img src="https://github.com/AliYmn/djeasy/raw/master/images/ex2.png"/>

# Process completed successfully.

 <img src="https://github.com/AliYmn/djeasy/raw/master/images/ex1.png"/>

NOT : The Json file is saved in the home directory, please do not delete it.
mwps 0.0.0
Hypergraph Minimum-Weight Parity Subgraph (MWPS) Solver for Quantum LDPC Codes
License: MIT
Requires Python: >=3.7
Keywords: QEC,quantum-computing,error-correction,visualization

# mwps
Hypergraph Minimum-Weight Parity Subgraph (MWPS) Algorithm for Quantum LDPC Codes

**This is a placeholder for the project. We plan to release the code in summer 2023.**

## Background

Solving MWPS on hypergraph is essential for QEC decoding because it can implement exact Most Likely Error (MLE) decoder on topological codes assuming independent physical qubit errors. Existing work like MWPM decoder can only model independent errors that generate 1 or 2 defect vertices. We model such a decoding problem as solving MWPS on the decoding graph in [this tutorial](https://tutorial.fusionblossom.com/problem-definition.html). Extending the MWPS algorithm to hypergraph, however, requires substantial modification over [the existing MWPS algorithm on normal graph](https://github.com/yuewuo/fusion-blossom). Hypergraph MWPS algorithm can model any independent error that generates arbitrary number of defect vertices, enabling applications in not only decoding depolarizing noise channel but also other decoding codes like color code and tailored surface code.