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fix typos, update URL
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content/continuous-integration.md

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@@ -194,7 +194,7 @@ in the [Collaborative Git lesson](https://coderefinery.github.io/git-collaborati
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#### Fork and clone an existing example repository
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- Fork the example repo. There are two options one for [python](https://github.com/AaltoRSE/PyTestingExample) and one for [R](https://github.com/AaltoRSE/RTestingExample).
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- Fork the example repo. There are two options one for [Python](https://github.com/AaltoRSE/PyTestingExample) and one for [R](https://github.com/AaltoRSE/RTestingExample).
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- Clone your fork (`git clone git@github.com:<yourGitID>/<Py/R>TestingExample.git`).
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```
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GitHub creates the following file for you in the subfolder `.github/workflows`.
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Modify the highlited lines according to the action below. This will add a code coverage
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Modify the highlighted lines according to the action below. This will add a code coverage
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report to new pull requests. The if clause restricts this to pull requests, as otherwise
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this action would not have a target to write the reports to. On pushes only the unittesting is run.
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- test
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before_script:
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- cat /proc/version #print out operations system
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- python -V # Print out python version for debugging
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- python -V # Print out Python version for debugging
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- pip install pytest flake8
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- if [ -f requirements.txt ]; then pip install -r requirements.txt;fi
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See also:
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- GitHub: [closing issues using keywords](https://help.github.com/articles/closing-issues-using-keywords/)
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- GitLab: [closing issues using keywords](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues)
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- GitLab: [closing issues using keywords](https://docs.gitlab.com/user/project/issues/managing_issues/#closing-issues-automatically)
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Discuss whether this is a useful feature. And if it is, why do you think is it useful?
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### Step 10: Increase your code coverage
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We are currently missing several functions in our tests. Write a test for the `multiply` function in a new branch and create a pull request.
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On python you can directly observe the increase in code coverage.
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On Python you can directly observe the increase in code coverage.
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On R you can have a look at the action (`Actions -> last run of your action -> Select a job -> Test coverage`). If you compare this with the
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previous run, you should see an increase once the update is in.
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[centralized](https://coderefinery.github.io/git-collaborative/02-centralized/) and
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[forking](https://coderefinery.github.io/git-collaborative/03-distributed/) workflows - have a look at this
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[alternative exercise](./full-cycle-ci) to see how that works.
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- GitHub Actions has a [Marketpace](https://github.com/marketplace?type=actions) which offer wide range of automatic workflows
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- GitHub Actions has a [Marketplace](https://github.com/marketplace?type=actions) which offer wide range of automatic workflows
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- On GitLab use [GitLab CI](https://about.gitlab.com/product/continuous-integration/)
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- For Windows builds you can also use [Appveyor](https://www.appveyor.com)
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