Python library for depositing a function definition inside a temporary module file (mostly for use with multiprocessing and Jupyter Notebook).
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
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
In order to contribute to the source code, open an issue or submit a pull request on the GitHub page for this library.
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.