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Install this package:

emerge -a dev-python/nbval

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/nbval

Or alternatively:

emerge --autounmask-write -a dev-python/nbval

Package Information

Description:

The plugin adds functionality to py.test to recognise and collect Jupyter notebooks. The intended purpose of the tests is to determine whether execution of the stored inputs match the stored outputs of the .ipynb file. Whilst also ensuring that the notebooks are running without errors. The tests were designed to ensure that Jupyter notebooks (especially those for reference and documentation), are executing consistently. Each cell is taken as a test, a cell that doesn't reproduce the expected output will fail.

Homepage:

https://github.com/computationalmodelling/nbval/ https://pypi.org/project/nbval/

License:

BSD

Versions

Metadata

Description

• The plugin adds functionality to py.test to recognise and collect Jupyter notebooks. The intended purpose of the tests is to determine whether execution of the stored inputs match the stored outputs of the .ipynb file. Whilst also ensuring that the notebooks are running without errors. The tests were designed to ensure that Jupyter notebooks (especially those for reference and documentation), are executing consistently. Each cell is taken as a test, a cell that doesn't reproduce the expected output will fail.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • pypi: nbval
  • github: computationalmodelling/nbval

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<longdescription>
		The plugin adds functionality to py.test to recognise and collect Jupyter notebooks.
		The intended purpose of the tests is to determine whether execution of the stored
		inputs match the stored outputs of the .ipynb file. Whilst also ensuring that the
		notebooks are running without errors.

		The tests were designed to ensure that Jupyter notebooks (especially those for reference
		and documentation), are executing consistently.

		Each cell is taken as a test, a cell that doesn't reproduce the expected output will fail.
	</longdescription>
	<stabilize-allarches></stabilize-allarches>
	<upstream>
		<remote-id type="pypi">nbval</remote-id>
		<remote-id type="github">computationalmodelling/nbval</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild nbval-0.11.0

Manifest