semvec/pypi-packages huggingface dataset:
shareplumfreightplusio 0.5.3
Python SharePoint FreightPlus Library
License: MIT
Keywords: SharePoint

PROJECT STATUS
===================

If you do not work for FreightPlus.io, please do not bother me, just fork this and fix the issue yourself.

Thank you.

SharePlum
==========

SharePlum is an easier way to work with SharePoint services. It handles all of the messy parts of dealing with SharePoint and allows you to write clean and Pythonic code.



Usage
-----

::

    from shareplum import Site
    from requests_ntlm import HttpNtlmAuth

    auth = HttpNtlmAuth('DIR\\username', 'password')
    site = Site('https://abc.com/sites/MySharePointSite/', auth=auth)
    sp_list = site.List('list name')
    data = sp_list.GetListItems('All Items', row_limit=200)

Authenticate to Office365 Sharepoint
------------------------------------

::

    from shareplum import Site
    from shareplum import Office365

    authcookie = Office365('https://abc.sharepoint.com', username='username@abc.com', password='password').GetCookies()
    site = Site('https://abc.sharepoint.com/sites/MySharePointSite/', authcookie=authcookie)
    sp_list = site.List('list name')
    data = sp_list.GetListItems('All Items', row_limit=200)


Access REST API
------------------------------------

::

    from shareplum import Site
    from shareplum import Office365
    from shareplum.site import Version

    authcookie = Office365('https://abc.sharepoint.com', username='username@abc.com', password='password').GetCookies()
    site = Site('https://abc.sharepoint.com/sites/MySharePointSite/', version=Version.v2016, authcookie=authcookie)
    folder = site.Folder('Shared Documents/This Folder')
    folder.upload_file('Hello', 'new.txt')
    folder.get_file('new.txt')
    folder.check_out('new.txt')
    folder.check_in('new.txt', "My check-in comment")
    folder.delete_file('new.txt')


Features
--------

- Reading and writing data to SharePoint lists using Python Dictionaries.
- Automatic conversion between SharePoint internal names and displayed names.
- Using Queries to filter data when retrieving List Items.
- Automatic conversion of data types.
- Supports Users datatype.
- Supports Office365 Sharepoint sites.
- Supports Folder and File operations with the REST API. (Requires SharePoint 2013 or newer)

Documentation
-------------

`Read the Docs <http://shareplum.readthedocs.org/en/latest/>`_

Contribute
----------

- `Issue Tracker <http://github.com/jasonrollins/shareplum/issues>`_
- `Source Code <http://github.com/jasonrollins/shareplum>`_

Unit Tests
^^^^^^^^^^

This package uses python unittest.
To run the unit tests, first copy tests/test_settings.py as tests/local_test_seetings.py and edit the contents to point at your sharepoint.
Second export your sharepoint password as an environment variable 'TEST_PASSWORD'
Then from the root folder run:

::

    python -m unittest disover  # all tests
    python -m unittest tests.test_site  # all site tests

License
-------

This project is licensed under the MIT license.
versatile-audio-upscaler-fixed 0.0.4
Versatile AI-driven audio upscaler to enhance the quality of any audio -- Now supporting Numpy +1.26
License: MIT
Requires Python: >=3.7.0


# Audio Upscaler (AudioSR)

[![arXiv](https://img.shields.io/badge/arXiv-2309.07314-brightgreen.svg?style=flat-square)](https://arxiv.org/abs/2309.07314)  [![githubio](https://img.shields.io/badge/GitHub.io-Audio_Samples-blue?logo=Github&style=flat-square)](https://audioldm.github.io/audiosr)

## Overview

AudioSR is a powerful tool designed to enhance the fidelity of your audio files, regardless of their type (e.g., music, speech, ambient sounds) or sampling rates. It leverages cutting-edge super-resolution techniques to upscale audio signals, resulting in superior quality output.

## Key Features

- **Versatility**: Works seamlessly with all types of audio content, including music, speech, environmental sounds, and more.
- **Scale**: Handles audio files of various sampling rates, ensuring compatibility with a wide range of sources.
- **High Fidelity**: Produces high-quality output with enhanced clarity and detail.
- **Ease of Use**: Simple and intuitive interface makes it easy to enhance your audio files with just a few clicks.

## Acknowledgments
Based on the work of https://github.com/haoheliu/versatile_audio_super_resolution/

```bibtex
@article{liu2023audiosr,
  title={{AudioSR}: Versatile Audio Super-resolution at Scale},
  author={Liu, Haohe and Chen, Ke and Tian, Qiao and Wang, Wenwu and Plumbley, Mark D},
  journal={arXiv preprint arXiv:2309.07314},
  year={2023}
}
```