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Introduces %coverage
and %%coverage
magics to allow running
of coverage
from a Jupyter Notebook.
It currently presents the coverage HTML report as an IFrame.
pip install ipycoverage
%load_ext ipycov
In a cell, you can run the cell magic like such:
%%coverage
from your_module import your_function # or anything else you want to import
your_function()
twine register dist/pad-on-left-1.0.0.tar.gz -r testpypi
Or simply run the line magic:
%coverage function_to_call()
This is not a fully developed magic, and it is not stable yet.
It has only been tested against:
coverage==4.5.2
IPython==7.0.1
.JupyterLab==0.35.1
coverage
FAQs
Coverage access via IPython
We found that ipycov demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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