im-pytest

A thin runner over pytest for the Instructing Machines course. One set of per-project test files is surfaced three escalating ways across the term, so testing grows from a hidden safety net into a tool students wield themselves.

import im_pytest

im_pytest.check("translationproject")   # friendly panel: ✓/✗ per function

The three modes (one artifact)

1. Hidden friendly runner — check("translationproject") or the %%test cell magic. Runs the project's bundled tests against the student's translationproject.py and renders a beginner-friendly panel: a green ✓ or red ✗ per function, the failing assertion, and a "functions not defined yet" note. No test source, no traceback. For the early weeks, before students know what a test is.
2. Raw pytest — pytest test_translationproject.py. The same file, now run with the real tool so students learn to read pytest's output. The module fixture, the requires marker and the not-defined banner are provided automatically (this package registers a pytest11 plugin).
3. Student-authored — students write their own assert-based tests to specify and validate AI-produced code, using the provided files as the model.

There is also a terminal entry point:

pytest-check translationproject.py      # or: pytest-check translationproject

Checking the reference solutions (teacher side)

A test file that is wrong is invisible while the stub is empty: every check for a function the student has not written yet is skipped, and a run of nothing but skips looks green. The tests are only really exercised once something implements them — which, before term, means the reference solution.

pytest test_translationproject.py --solution   # runs translationproject_solution.py
pytest-check --solution translationproject     # the same, friendly output
pytest-check --sweep project-files/            # every project, one line each

--solution imports <project>_solution.py in place of <project>.py, bound to the same module name, so the test file cannot tell the difference. Nothing is copied, renamed or written: the <project>.py that ships to students is not even read. IM_SOLUTION_SUFFIX=_solution is the same switch for a notebook or a CI job that does not own pytest's argv, and check("translationproject", solution=True) is the notebook form.

One rule differs from student mode. A student is allowed not to have written a function yet, so their tests skip; a reference solution is not, so in solution mode a required name that the solution does not define fails instead of skipping. Otherwise a name misspelled on either side would report as green — the exact thing this mode exists to catch.

--sweep runs each project in a subprocess with its working directory set to that project's own folder, which is what a test file that opens a data file by a plain relative name needs, and exits non-zero if any solution fails.

Writing a project test file

Per-project test files are plain, idiomatic pytest. They receive module (the student's solution module, imported fresh with the student's own print output suppressed) and mark each test with requires so an unwritten function is reported as "not defined" instead of crashing:

from im_pytest import requires

@requires.translate_codon
def test_translate_codon(module):
    assert module.translate_codon("ATG") == "M"
    assert module.translate_codon("NNN") == "?"     # invalid codon
    assert module.translate_codon("atg") == "M"     # lowercase

@requires.translate_codon is sugar for @pytest.mark.requires("translate_codon") (and stacks equivalently if two are put on the same test); for several names at once use the call form, @requires("translate_codon", "split_codons").

module resolves to <project>.py in the working folder (its name is the test file name minus its test_ prefix). Project test files and their data live in the course repository and are distributed to students as downloads; set IM_PROJECT_TESTS to point the runner at a shared folder instead of the working directory.

Dict/set equality ignores order, so a plain == can't catch a correctly-valued but wrongly-ordered result. ordered(value) sorts by type — a dict by its values, a list/tuple in place (same type back), anything else iterable via sorted() — so an order-sensitive check is one line:

from im_pytest import ordered

@requires.codon_bias
def test_codon_bias(module):
    assert list(module.codon_bias(seq).items()) == list(ordered(expected).items())

Development

pixi run install-dev
pixi run test

License

MIT