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Security News
vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
A collection of pytest fixtures and other shared code for use in Python tests.
First you'll need to install:
sudo apt install git
, on macOS: brew install git
.make --version
to check.Then to set up your development environment:
git clone https://github.com/hypothesis/h-testkit.git
cd h-testkit
make help
First, to get PyPI publishing working you need to go to:
https://github.com/organizations/hypothesis/settings/secrets/actions/PYPI_TOKEN
and add h-testkit to the PYPI_TOKEN
secret's selected
repositories.
Now that the h-testkit project has access to the PYPI_TOKEN
secret
you can release a new version by just creating a new GitHub release.
Publishing a new GitHub release will automatically trigger
a GitHub Actions workflow
that will build the new version of your Python package and upload it to
https://pypi.org/project/h-testkit.
To change what versions of Python the project uses:
Change the Python versions in the cookiecutter.json file. For example:
"python_versions": "3.10.4, 3.9.12",
Re-run the cookiecutter template:
make template
Commit everything to git and send a pull request
To change the production dependencies in the setup.cfg
file:
Change the dependencies in the .cookiecutter/includes/setuptools/install_requires
file.
If this file doesn't exist yet create it and add some dependencies to it.
For example:
pyramid
sqlalchemy
celery
Re-run the cookiecutter template:
make template
Commit everything to git and send a pull request
To change the project's formatting, linting and test dependencies:
Change the dependencies in the .cookiecutter/includes/tox/deps
file.
If this file doesn't exist yet create it and add some dependencies to it.
Use tox's factor-conditional settings
to limit which environment(s) each dependency is used in.
For example:
lint: flake8,
format: autopep8,
lint,tests: pytest-faker,
Re-run the cookiecutter template:
make template
Commit everything to git and send a pull request
FAQs
A collection of pytest fixtures and other shared code for use in Python tests.
We found that h-testkit 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.
Did you know?
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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