capsules 0.1.0

Library for depositing a function definition inside a temporary module file.

Python library for depositing a function definition inside a temporary module file (mostly for use with multiprocessing and Jupyter Notebook).

Package 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 capsules

Adding 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 + x

Testing 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.