semvec/pypi-packages huggingface dataset:
django-oss-storage 1.1.0
Django Aliyun OSS (Object Storage Service) storage

Django AliCloud OSS Storage
=========================

**django-oss-storage** provides a Django AliCloud OSS file storage.


Features
========

- Django file storage for AliCloud OSS
- Django static file storage for AliCloud OSS
- Works in Python 2 & 3

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

* Install

.. code-block:: bash

    $ pip install django-oss-storage

- Add ``'django_oss_storage'`` to your ``INSTALLED_APPS`` setting
- Set your ``DEFAULT_FILE_STORAGE`` setting to ``"django_oss_storage.backends.OssMediaStorage"``
- Set your ``STATICFILES_STORAGE`` setting to ``"django_oss_storage.backends.OssStaticStorage"``
- Configure your AliCloud OSS settings (Refer below).

Use the following settings for file storage.

.. code-block:: bash

    STATICFILES_STORAGE = 'django_oss_storage.backends.OssStaticStorage'

    DEFAULT_FILE_STORAGE = 'django_oss_storage.backends.OssMediaStorage'

Authentication settings
=======================

Use the following settings to authenticate with AliCloud OSS.

.. code-block:: bash

    # AliCloud access key ID
    OSS_ACCESS_KEY_ID = <Your Access Key ID>

    # AliCloud access key secret
    OSS_ACCESS_KEY_SECRET = <Your Access Key Secret>

File storage settings
=====================

Use the following settings to configure AliCloud OSS file storage.

.. code-block:: bash

    # The name of the bucket to store files in
    OSS_BUCKET_NAME = <Your bucket name>

    # The URL of AliCloud OSS endpoint
    # Refer https://www.alibabacloud.com/help/zh/doc-detail/31837.htm for OSS Region & Endpoint
    OSS_ENDPOINT = <Your access endpoint>

    # The default location for your files
    MEDIA_URL = '/media/'

Staticfiles storage settings
============================

All of the file storage settings are available for the staticfiles storage.

.. code-block:: bash

    # The default location for your static files
    STATIC_URL = '/static/'

staticfiles provides command 'collectstatic'. Run following command to collect all sub-folder 'static' of each app
and upload to STATIC_URL.

.. code-block:: bash

    $ python manage.py collectstatic


Testing
=======

First set the required AccessKeyId, AccessKeySecret, endpoint and bucket information for the test through environment variables (**Do not use the bucket for the production environment**).
Take the Linux system for example:

.. code-block:: bash

    $ export OSS_ACCESS_KEY_ID=<AccessKeyId>
    $ export OSS_ACCESS_KEY_SECRET=<AccessKeySecret>
    $ export OSS_BUCKET_NAME=<bucket>
    $ export OSS_ENDPOINT=<endpoint>

Support and announcements
=========================

Downloads and bug tracking can be found at the `main project website <http://github.com/aliyun/django-oss-storage>`_.

License
=======

- `MIT <https://github.com/aliyun/django-oss-storage/blob/master/LICENSE>`_.
pykuvien 1.0.2
Python library for interacting with the kuvien.io API
Keywords: kuvien api images

pykuvien
========

The official API interface for `kuvien.io <https://kuvien.io>`_.

Example:

.. code-block:: python

  from pykuvien import Api

  api = Api('mykeyhere')

  valid_domains = api.domains()
  api.add_subdomain('my', valid_domains[3])


You can use this API to manage your account, and upload images.
summa-visualization 0.1.0b0
A visualization for the graphs generated by summa.
Requires Python: >=2.7, <3.0
Keywords: summa,nlp,summarization,NLP,natural language processing,automatic summarization,keywords,summary,textrank,pagerank,visualization,export

===========================
summa visualization module
===========================

This module intends to provide a visualization of the graph built by summa for
producing the results.

Usage:

    >>> text = """Automatic summarization is the process of reducing a text document with a
    computer program in order to create a summary that retains the most important points
    of the original document. As the problem of information overload has grown, and as
    the quantity of data has increased, so has interest in automatic summarization.
    Technologies that can make a coherent summary take into account variables such as
    length, writing style and syntax. An example of the use of summarization technology
    is search engines such as Google. Document summarization is another."""

    >>> from visualization.export import gexf_export
    >>> gexf_export(text, path="graph.gexf")

This uses version 0.1.0 of the summarization module and works in Python 2.7.

-------------

Summa is open source software released under the `The MIT License (MIT) <http://opensource.org/licenses/MIT>`_.
Copyright (c) 2014 - now Summa NLP