Unexpected list comprehension behaviour in Python

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continuous integration (ci) is a development practice that allows developers to automatically build, test, and deploy their code changes to ensure the software remains in a stable and working state. in this tutorial, we'll explore how to set up a "pretty" continuous integration workflow for python projects using popular tools like github actions and pytest. by the end of this tutorial, you'll have a robust ci pipeline that runs your tests and generates beautiful test reports.
before we begin, make sure you have the following prerequisites in place:
python installed: make sure you have python installed on your local machine.
git: you'll need git to manage your version control.
github account: sign up for a github account if you don't have one already.
a python project: create a python project or use an existing one that includes tests.
go to github and log in to your account.
click on the + sign in the upper right corner and select "new repository."
give your repository a name, add an optional description, choose public or private, and click "create repository."
navigate to your project directory using the command line.
initialize a git repository if you haven't already using the following commands:
connect your local repository to the github repository you created in step 1:
github actions is a powerful tool for automating ci/cd pipelines. we'll create a workflow to run your python tests and generate pretty test reports.
in your github repository, click on the "actions" tab.
click "set up a workflow yourself" to create a new workflow file.
replace the contents of the default workflow yaml file with the following:
this workflow sets up a python environment, installs project dependencies, runs pytest to execute tests, and uploads the test report as an artifact.
save the workflow file with a name like .github/workflows/python-ci.yml in your repository.
commit and push the changes to trigger the workflow.
to make your test reports look pretty, you can use a tool like py ...