semvec/pypi-packages huggingface dataset:
resource-allocator 0.1.0
Python Resource Allocation API
License: MIT

Python Resource Allocation API
==============================

Purpose
-------
The objective of this module is to provide a common API to perform
Resource Allocation (network addresses, disks) using a KeyValue store
like consul, etcd or zookeeper as the persistence backend.

Usage examples
--------------
Basic usage examples::

    import allocator

    adresses = allocator.AddressManager()
    adresses.get_free('private')
    adresses.get_status('private', '10.112.254.101')
    adresses.set_used('private', '10.112.254.101')
    adresses.set_free('private', '10.112.254.101')

    disks = allocator.DiskManager()
    disks.get_free('node1.local')
    disks.get_status('node1.local', '1')
    disks.set_used('node1.local', '1')
    disks.set_free('node1.local', '1')
txttobitmap 1.0.1
Simple script that converts given file to a bitmap
License: MIT
Keywords: txt bitmap conversion

===========
txttobitmap
===========

Simple script that converts given file to a bitmap.

The project emerged as a result of wondering "How to compress long text into a form that does not look scary for a human being?". While the generated images are obviously useless, it's still fun to play around with them.

Requirements
------------

* Python 3.2+

Installation
------------
::

    pip install txttobitmap


Usage
-----
::

    txttobitmap --mode {palette,grayscale} input output



* *mode* - one of the values:
  
  * *palette* - use 16 color palette (see: `Windows 16-color palette on Wikipedia <https://en.wikipedia.org/wiki/List_of_software_palettes#Microsoft_Windows_default_16-color_palette>`_) and represent each byte as two pixels
  * *grayscale* - represent each byte as grayscale pixel

* *input* - input file to convert
* *output* - output file to save the bitmap as
microbio 0.1.1
A minimalist Bioinformatics framework
License: MIT
Keywords: bioinformatics,framework

Microbio
========
*a minimalist Bioinformatics framework*  

For most of my use cases, extensive frameworks such as Biopython or scikit-bio are complete overkill. These frameworks are handling everything as an object (e.g. Sequences) which is certainly helpful in some cases, but often it's just more straightforward to save the sequences as plain python strings. 

This framework aims at providing a bunch of modules for bioinformatics that are lightweight and super-easy to use. At the moment it is limited to some file reading and writing routines, but who knows what comes in the future ;) 

Installation
------------

``pip install microbio``

Contributing
------------

I will extend this project as it serves my projects. If you have useful code to add, feel free to send a pull request. 

Documentation
-------------
http://microbio.readthedocs.org/
sqlalchemy-multidb 1.0.0
Provides methods to load the database configurations from a config object and access multiple databases easily.
License: MIT
Keywords: sqlalchemy

=================================
SQLAlchemy Multidb
=================================
sqlalchemy multidb provides methods to load the database configurations from a config file and access multiple databases easily.

|Version|

Documentation
===============
Soon... take a look at the examples_ to see how it works.

Installation
===============
You can install sqlalchemy-multidb via Python Package Index (PyPI_),::

    $ pip install sqlalchemy-multidb

Feedback
===============
Please use the Issues_ for feature requests and troubleshooting usage.

.. |Version| image:: https://badge.fury.io/py/sqlalchemy-multidb.svg?
   :target: http://badge.fury.io/py/sqlalchemy-multidb

.. _examples: https://github.com/viniciuschiele/sqlalchemy-multidb/tree/master/examples

.. _PyPi: https://pypi.python.org/pypi/sqlalchemy-multidb

.. _Issues: https://github.com/viniciuschiele/sqlalchemy-multidb/issues