semvec/pypi-packages huggingface dataset:
jenkins-cffi 1.0.2.1
Python CFFI wrapper around Bob Jenkins' hash functions.

This python module provides Bob Jenkin's hash functions in python (via
a ctypes wrapper calling the original C implementation).

A description of the algorithm can be found here:
http://www.burtleburtle.net/bob/hash/doobs.html

The C code implementing the actual hash algorithm can be found here:
http://www.burtleburtle.net/bob/c/lookup3.c

This code was released into the public domain.

Everything else is made available under the MIT license:


The MIT License

Copyright (c) 2009 Milo.com

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
nosql2django 0.1.1
Allow convert nosql source to django relational DB structure
Keywords: django rss atom feeds parser sql nosql-to-sql

# nosql2django
That project let you convert structure with nested 
object to linear Relation Data Model for your Django project.

# How start to use?
You can have to look at demo folder inside that repo, 
it have example of manage commands for parse rss feeds to Django models