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z#8u1S{G*7qi0ar@joFZpkhHWk2rYmAt_-?wh9>fexw$#0`MbF2ZXNGdzk2F}4W5;& zE2iLv?-#dh#(@KksG=R-ZsWfoL;dAZir}l#tM0mGkaR+NidwFsLVD!rSXVWrY2F*1 z?1axqf@*5yb#wr$sNPz;op$lnp@hW5LyFyhZe@iT*JQ|y&a)cCtWq2q5UDRt=~Yjy z;rCWMIP?zzTL5H}PqBBa2iC9wWxqt0f=KWkPQ~qhSvP(WzA*&4jB`@zVD08=AiDZwpsO_qrb&s5cmyntw?9bVhgc zx5J&SI(H$Pu|PEmyXaYsceDEMs5Zu{!l%`X)T4gu6Hk_%TKF$7(c regression tests -- mutation testing (mutmut): tests pass -> change a line of code (make a mutant) -> test again and check whether all mutants get "killed" +:::{objectives} +- Know **where to start** in your own project. +- Have an example for how to make the **testing part of code review**. +::: + +:::{instructor-note} +- (15 min) Motivation +- (15 min) End-to-end tests +- (15 min) Pytest +- (15 min) Adding the unit test to GitHub Actions +- (10 min) What else is possible +- (20 min) Exercise +::: + + +## Motivation + +Testing is a way to check that the code does what it is expected to. + +- **Less scary to change code**: tests will tell you whether something broke. +- **Easier for new people** to join. +- Easier for somebody to **revive an old code**. +- **End-to-end test**: run the whole code and compare result to a reference. +- **Unit tests**: test one unit (function or module). Can guide towards better + structured code: complicated code is more difficult to test. + + +## How testing is often taught + +```python +def add(a, b): + return a + b + + +def test_add(): + assert add(1, 2) == 3 +``` + +How this feels: +:::{figure} img/owl.png +:alt: Instruction on how to draw an owl +:width: 50% +:class: with-border + +[Citation needed] +::: + +Instead, we will look at and **discuss a real example** where we test components +from our example project. + + +## Where to start + +Short answer: **Start with an end-to-end test**. + +:::{solution} Longer answer +- A simple script or notebook probably does not need an automated test. + +**If you have nothing yet**: +- Start with an end-to-end test. +- Describe in words how *you* check whether the code still works. +- Translate the words into a script (any language). +- Run the script automatically on every code change. + +**If you want to start with unit-testing**: +- You want to rewrite a function? Start adding a unit test right there first. +::: + + +## End-to-end tests + +- This is our end-to-end test: +- Note how we can run it [on GitHub automatically](https://github.com/workshop-material/planets/blob/813d49a247f36e9c1e10cbe78ecf1ae4b6e971c3/.github/workflows/test.yml#L28). +- Also browse . +- If we have time, we can try to create a pull request which would break the + code and see how the test fails. + +:::{discussion} +Is the [end-to-end test](https://github.com/workshop-material/planets/blob/main/test.sh) +perfect? No. But it's a good starting point. Discuss its limitations. +::: + + +## Pytest + +First we need to add a test function, for instance +for [this function](https://github.com/workshop-material/planets/blob/813d49a247f36e9c1e10cbe78ecf1ae4b6e971c3/simulate.py#L31-L39): +```{code-block} python +--- +emphasize-lines: 12-20 +--- +def force_between_planets(position1, mass1, position2, mass2): + G = 1.0 # gravitational constant + + r = position2 - position1 + distance = (r[0] ** 2 + r[1] ** 2 + r[2] ** 2) ** 0.5 + force_magnitude = G * mass1 * mass2 / distance**2 + force = (r / distance) * force_magnitude + + return force + + +def test_force_between_planets(): + position1 = np.array([0.0, 0.0, 0.0]) + mass1 = 1.0 + position2 = np.array([1.0, 0.0, 0.0]) + mass2 = 2.0 + + force = force_between_planets(position1, mass1, position2, mass2) + + assert np.allclose(force, [2.0, 0.0, 0.0]) +``` + +Let us run the test with: +```console +$ pytest simulate.py +``` + +Explanation: `pytest` will look for functions starting with `test_` in files +and directories given as arguments. It will run them and report the results. + +Now let us try this: +- Commit the test. +- Break the function on purpose and run the test. +- Does the test fail as expected? + + +## Adding the unit test to GitHub Actions + +Our next goal is that we want GitHub to run the unit test +automatically on every change. + +First we need to extend our +[environment.yml](https://github.com/workshop-material/planets/blob/main/environment.yml): +```{code-block} yaml +--- +emphasize-lines: 9 +--- +name: planets +channels: + - conda-forge +dependencies: + - python=3.12 + - numpy + - click + - matplotlib + - pytest +``` + +We also need to extend `.github/workflows/test.yml` (highlighted line): +```{code-block} yaml +--- +emphasize-lines: 29 +--- +name: Test + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - name: Checkout + uses: actions/checkout@v4 + + - uses: mamba-org/setup-micromamba@v1 + with: + micromamba-version: '1.5.8-0' # any version from https://github.com/mamba-org/micromamba-releases + environment-file: environment.yml + init-shell: bash + cache-environment: true + post-cleanup: 'all' + generate-run-shell: false + + - name: Run tests + run: | + ./test.sh + pytest simulate.py + shell: bash -el {0} +``` + +If we have time, we can try to create a pull request which would break the +code and see how the test fails. + + +## What else is possible + +- The testing above used **example-based** testing. + +- **Test coverage**: how much of the code is traversed by tests? + - Python: [pytest-cov](https://pytest-cov.readthedocs.io/) + - Result can be deployed to services like [Codecov](https://about.codecov.io/) or [Coveralls](https://coveralls.io/). + +- **Property-based** testing: generates arbitrary data matching your specification and checks that your guarantee still holds in that case. + - Python: [hypothesis](https://hypothesis.readthedocs.io/) + +- **Snapshot-based** testing: makes it easier to generate snapshots for regression tests. + - Python: [syrupy](https://syrupy-project.github.io/syrupy/) + +- **Mutation testing**: tests pass -> change a line of code (make a mutant) -> test again and check whether all mutants get "killed". + - Python: [mutmut](https://mutmut.readthedocs.io/) + + +## Exercises + +Experiment with the example project and what we learned above or try it on your +own project: +- Add a unit test. +- Try to run it locally. +- Check whether it fails when you break the corresponding function. +- Try to run it on GitHub Actions. +- Create a pull request which would break the code and see whether the automatic test would catch it. +- Try to design an end-to-end test for your project.