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https://github.com/reity/capsules
Python library for encapsulating a function definition inside a temporary module file (mostly for use with multiprocessing and Jupyter Notebook).
https://github.com/reity/capsules
jupyter-notebook multiprocessing picklers pickling python-library
Last synced: about 2 months ago
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Python library for encapsulating a function definition inside a temporary module file (mostly for use with multiprocessing and Jupyter Notebook).
- Host: GitHub
- URL: https://github.com/reity/capsules
- Owner: reity
- License: mit
- Created: 2020-08-28T02:52:15.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-12-20T04:11:00.000Z (about 4 years ago)
- Last Synced: 2024-11-14T09:43:44.907Z (about 2 months ago)
- Topics: jupyter-notebook, multiprocessing, picklers, pickling, python-library
- Language: Python
- Homepage: https://pypi.org/project/capsules
- Size: 16.6 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
README
========
capsules
========Python library for depositing a function definition inside a temporary module file (mostly for use with multiprocessing and Jupyter Notebook).
|pypi| |travis| |coveralls|
.. |pypi| image:: https://badge.fury.io/py/capsules.svg
:target: https://badge.fury.io/py/capsules
:alt: PyPI version and link... |travis| image:: https://travis-ci.com/reity/capsules.svg?branch=master
:target: https://travis-ci.com/reity/capsules.. |coveralls| image:: https://coveralls.io/repos/github/reity/capsules/badge.svg?branch=master
:target: https://coveralls.io/github/reity/capsules?branch=masterPackage Installation and Usage
------------------------------
The package is available on PyPI::python -m pip install capsules
The library can be imported in the usual ways::
import capsules
from capsules import capsulesAdding the `capsules` decorator to a function definition will (1) automatically deposit that definition inside a temporary module file on disk, (2) import that module file, and (3) assign to the variable of the function being defined the function that was imported from that module::
@capsules
def double(x):
return x + xTesting and Conventions
-----------------------
All unit tests are executed and their coverage is measured when using `nose `_ (see ``setup.cfg`` for configution details)::nosetests
Style conventions are enforced using `Pylint `_::
pylint capsules
Contributions
-------------
In order to contribute to the source code, open an issue or submit a pull request on the GitHub page for this library.Versioning
----------
The version number format for this library and the changes to the library associated with version number increments conform with `Semantic Versioning 2.0.0 `_.