semvec/pypi-packages huggingface dataset:
jukebox-core 3.3.1
Core package for the jukebox pipeline.
License: BSD
Keywords: jukebox-core

=========================================================
Jukebox Core
=========================================================

.. image:: http://img.shields.io/pypi/v/jukebox-core.png
    :target: https://pypi.python.org/pypi/jukebox-core

.. image:: http://img.shields.io/pypi/dm/jukebox-core.png
    :target: https://pypi.python.org/pypi/jukebox-core

.. image:: http://img.shields.io/pypi/l/jukebox-core.png
    :target: https://pypi.python.org/pypi/jukebox-core

This is the core package for the jukebox cg-pipeline.
It is a framework for developing pipeline tools for different softwares in python.


Documentation
-------------

The documentation can be found under http://pythonhosted.org/jukebox-core.


.. :changelog:

History
-------

0.1.0 (2014-09-27)
+++++++++++++++++++++++++++++++++++++++

* Migration from old project

1.0.3 (2014-10-23)
+++++++++++++++++++++++++++++++++++++++

* First release on PyPI

1.0.4 (2014-10-24)
+++++++++++++++++++++++++++++++++++++++

* Fix for missing dependency
* Documentation hosted on pythonhosted.org

2.0.0 (2014-11-10)
+++++++++++++++++++++++++++++++++++++++

* Release mechanism.
* Fixes for widgetdelegate.
* Browser for taskfiles.
* Qt resource files compilation and proper integration in stylesheets.

3.0.0 (2015-01-09)
++++++++++++++++++++++++++++++++++++++++

* Reference workflow
* Fixes for widgetdelegate

3.3.0 (2015-05-29)
++++++++++++++++++++++++++++++++++++++++

* Better ui for project management
vsat 0.0.8
Very simple asynchronous tasks for Python.
License: BSD
Keywords: Simple Asynchronous Tasks

Very Simple Asynchronous Tasks
------------------------------

A small library that allows asynchronous tasks to be executed.  Useful for
web applications when you need a task to run in the background.  The API
is modelled loosely on Celery_.  The library makes use of the Python
multiprocessing_ library to run tasks in the background.

.. _Celery: https://github.com/celery/celery

.. _multiprocessing: https://docs.python.org/2/library/multiprocessing.html

Example
-------

Install the library

::

    pip install vsat

Create and run task.

::

    In [1]: from vsat.task import task

    In [2]: from vsat.worker import WorkerPool

    In [3]: worker_pool = WorkerPool.init(num_workers=1)

    In [4]: @task
       ...: def my_function(arg1):
       ...:     return arg1 * arg1
       ...:

    In [5]: worker_pool.start()

    In [6]: result = my_function.apply_async(2)

    In [7]: print result.get_result(block=True)
    4