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A test-authoring, test-running, and test-sharing CLI for university programming assignments.

Project description

Morvix

PyPI version Python versions CI License: MIT

A test-authoring, test-running, and test-sharing CLI for university programming assignments.

Most courses don't hand out test suites, so students end up writing their own: they build test cases from their own solution, run their program against them, and share the cases on GitHub so classmates can check their code too. Morvix automates that whole loop - building, running, and sharing these self-made test harnesses - quickly and consistently, across languages and platforms.

It's an honest tool. The "expected answers" come from one student's own solution, so passing every test does not prove a solution is correct - it proves it agrees with that one reference on the cases tried. Morvix says so plainly (it's baked into every package's README) and makes the real signal - lots of independent solutions agreeing - easy to see.

Morvix is not an online judge, not a grading server, and not an AI tool. It runs locally and offline. Linux and macOS are the primary targets; Windows works on a best-effort basis.

Install

pip install morvix          # or, from a clone:
pip install .

Needs Python 3.9+. The only dependencies are prompt_toolkit and rich. The runner that ships inside shared packages is pure standard library, so whoever you share with needs nothing but Python 3.

Quick start (the Author)

Run morvix with no arguments to open the interactive shell (live autocomplete, history, a status bar), or use any command one-shot from your normal shell. What you can do one way is identical the other way.

cd my-assignment
morvix init                       # create a project here (guided)
morvix config cpp                 # how to build/run your language
morvix import solution.cpp        # the solution under test
morvix reference solution.cpp     # it also defines the expected answers
morvix gen --random --count 100   # generate inputs from the built-in shapes
morvix gen --expected             # compute answers by running the reference
morvix run --all                  # build, run, judge - with a live table
morvix runner new full            # a named, shareable run profile
morvix package --zip              # bundle it up to share (your source is left out)

All of Morvix's state lives in a single hidden .morvix/ directory, so your project root stays clean — just your own source next to .morvix/.

Structured input? Write a generator

Random shapes (gen --random) are great for simple stdin formats, but most assignments read something structured (a grid, a graph, a constrained matrix). For those, random data produces meaningless tests — Morvix will warn you when an gen --expected run comes back all-empty. The fix is a custom generator:

morvix gen --new-generator mygen        # writes a starter you edit
morvix gen --generator .morvix/generators/mygen.py --count 1000
morvix gen --expected

See examples/exact_cover for a full worked example.

Quick start (the Receiver)

You got a package from a classmate. You don't need Morvix at all:

unzip their-tests.zip && cd their-tests
./run.sh my_solution.cpp          # builds your code, runs every test, reports

If you do have Morvix, open it in the unpacked directory and you get the rich view - browse the tests, re-run selectively, and diff your per-case results against the author's.

What's in the box

  • Languages: C, C++, NASM, Python, Java, Rust - each a small adapter. Adding one is one file.
  • Execution models: stdio, library (link & assert), args, file, interactive.
  • Comparison: byte-exact, whitespace-insensitive, float-tolerant, hash, a custom checker, and expected exit status / crash - combinable per case.
  • Limits & checks: wall/CPU time, peak memory (approximate), hard memory caps, output caps, and an optional valgrind memory-correctness pass.
  • Generation: a built-in random-shape library, custom generators, stress testing against a brute force, and crash-case candidates.
  • Sharing: zip / tar / tar.gz / tar.xz packages with an auto-generated README and a manifest.
  • Workflows: record a sequence of commands and replay it on the next assignment.

These three axes - language, execution model, comparison - are kept independent, so they never multiply against each other. That's the design decision everything else hangs on.

Design

The full design is in documentation.md: the architecture, every command, the file formats, and the reasoning behind each choice.

License

MIT (c) Krzysztof Adamczyk

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