semvec/pypi-packages huggingface dataset:
macromol-census 0.3.0
Tools for creating machine-learning datasets from macromolecular structure
Requires Python: ~=3.10

********************
Macromolecule Census
********************

.. image:: https://img.shields.io/pypi/v/macromol_census.svg
   :alt: Last release
   :target: https://pypi.python.org/pypi/macromol_census

.. image:: https://img.shields.io/pypi/pyversions/macromol_census.svg
   :alt: Python version
   :target: https://pypi.python.org/pypi/macromol_census

.. image:: https://img.shields.io/readthedocs/macromol_census.svg
   :alt: Documentation
   :target: https://macromol-census.readthedocs.io/en/latest/?badge=latest

.. image:: https://img.shields.io/github/actions/workflow/status/kalekundert/macromol_census/test.yml?branch=master
   :alt: Test status
   :target: https://github.com/kalekundert/macromol_census/actions

.. image:: https://img.shields.io/coveralls/kalekundert/macromol_census.svg
   :alt: Test coverage
   :target: https://coveralls.io/github/kalekundert/macromol_census?branch=master

.. image:: https://img.shields.io/github/last-commit/kalekundert/macromol_census?logo=github
   :alt: Last commit
   :target: https://github.com/kalekundert/macromol_census

*Macromolecule Census* is a tool for identifying high-quality, non-redundant 
subsets of the biological assemblies in the protein data bank (PDB).  A 
particular emphasis is to accommodate all kinds of macromolecules; not just 
proteins.  Briefly, this process involves the following steps:

- Rank each structure by metrics including clash score, resolution, $R_{free}$, 
  Q-score, NMR restraints.

- Rank each assembly by biological relevance, subchain cover, and size.

- Cluster protein, DNA, and RNA molecules by sequence similarity.

- Cluster small molecules and branched polysaccharides by identity.

The primary use-case for this software is the creation of datasets for machine 
learning.  This typically entails iterating through each assembly in ranked 
order, adding unique training examples as they appear.
TgMelon 0.0.0
An advanced and comprehensive library for managing Telegram bots

# TgMelon
**By [Ahmed Negm](https://t.me/DevAhmed)**

**TgMelon** is a Python library for creating Telegram bots using Webhook or Polling.

## Installation
```bash
pio install TgMelon
```

## Examples
```python
print("Soon")
```
Flask-DigestAuth 0.7.1
The Flask HTTP Digest Authentication project.
Requires Python: >=3.8
Keywords: flask, digest-authentication

================================
Flask HTTP Digest Authentication
================================


Description
===========

*Flask-DigestAuth* is an `HTTP Digest Authentication`_ implementation
for Flask_ applications.  It authenticates the user for the protected
views.

HTTP Digest Authentication is specified in `RFC 2617`_.


Why HTTP Digest Authentication?
-------------------------------

*HTTP Digest Authentication* has the advantage that it does not send
thee actual password to the server, which greatly enhances the
security.  It uses the challenge-response authentication scheme.  The
client returns the response calculated from the challenge and the
password, but not the original password.

Log in forms has the advantage of freedom, in the senses of both the
visual design and the actual implementation.  You may implement your
own challenge-response log in form, but then you are reinventing the
wheels.  If a pretty log in form is not critical to your project, HTTP
Digest Authentication should be a good choice.

Flask-DigestAuth works with Flask-Login_.  Log in protection can be
separated with the authentication mechanism.  You can create protected
Flask modules without knowing the actual authentication mechanisms.


Installation
============

You can install Flask-DigestAuth with ``pip``:

::

    pip install Flask-DigestAuth

You may also install the latest source from the
`Flask-DigestAuth GitHub repository`_.

::

    pip install git+https://github.com/imacat/flask-digestauth.git


Documentation
=============

Refer to the `documentation on Read the Docs`_.


Change Log
==========

Refer to the `change log`_.


Copyright
=========

 Copyright (c) 2022-2023 imacat.

 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
 You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.


Authors
=======

| imacat
| imacat@mail.imacat.idv.tw
| 2022/11/23

.. _HTTP Digest Authentication: https://en.wikipedia.org/wiki/Digest_access_authentication
.. _RFC 2617: https://www.rfc-editor.org/rfc/rfc2617
.. _Flask: https://flask.palletsprojects.com
.. _Flask-DigestAuth GitHub repository: https://github.com/imacat/flask-digestauth
.. _Flask-Login: https://flask-login.readthedocs.io
.. _documentation on Read the Docs: https://flask-digestauth.readthedocs.io
.. _change log: https://flask-digestauth.readthedocs.io/en/latest/changelog.html