semvec/pypi-packages huggingface dataset:
chaskey 0.0.4
Pure Python Chaskey LTS implementation
Requires Python: >=3.9
Keywords: chaskey

# chaskey_lts

A pure Python chaskey cipher implementation developed initially for use with the [donut_decryptor](https://github.com/volexity/donut-decryptor).

## Installation

You can install donut_decryptor for usage using pip:

```bash
python -m pip install chaskey
```

For usage instructions use the following input at a python prompt:

```bash
> import chaskey

> help(chaskey.Chaskey)
```

## TODO

* Implement non-CTR cipher modes
  * Electronic Code Book (ECB)
  * Cipher Block Chain (CBC)
  * Cipher Feedback Mode (CFB)
  * Output Feedback Mode (OFB)
  * Galois Counter Mode (GCM)
* Consider a class based definition of cipher modes to replace the current catch-all implementation
sphinxcontrib-spelling 8.0.2
Sphinx spelling extension
Requires Python: >=3.10

.. -*- mode: rst -*-

=========================
 sphinxcontrib-spelling
=========================

This package contains sphinxcontrib.spelling, a spelling checker for
Sphinx-based documentation.  It uses PyEnchant_ to produce a report
showing misspelled words.

Refer to the `main documentation page
<https://sphinxcontrib-spelling.readthedocs.io/en/latest/>`__ for
installation and setup details.

License
=======

Copyright Doug Hellmann, All Rights Reserved

Permission to use, copy, modify, and distribute this software and its
documentation for any purpose and without fee is hereby granted,
provided that the above copyright notice appear in all copies and that
both that copyright notice and this permission notice appear in
supporting documentation, and that the name of Doug Hellmann not be used
in advertising or publicity pertaining to distribution of the software
without specific, written prior permission.

DOUG HELLMANN DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE,
INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO
EVENT SHALL DOUG HELLMANN BE LIABLE FOR ANY SPECIAL, INDIRECT OR
CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF
USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
PERFORMANCE OF THIS SOFTWARE.

.. _PyEnchant: https://github.com/pyenchant/pyenchant