Add exercise generator #304
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Sorry for the faux manipulation of adding the |
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| def create_meta_config(exercise_name, prob_spec_exercise, author): |
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Skimming this but configlet sync —filepaths —metadata -uye <exercise-slug> would generate the config json so the only thing needed is update the author or contributor key
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| def create_instructions(exercise_name, prob_spec_exercise): |
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I’d rather have configlet sync the documents here to simplify the complexity.
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| # If so, add the definition of the helper function to test returned errors | ||
| if expect_errors: |
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I think we want to avoid checking exception messages because some students may use contracts instead so that won’t work.
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Ok, I based myself on collatz-conjecture-test.rkt.
I guess using exn:fail? is preferred then?
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I was thinking about using Jinja templates like the Python track uses so the porter provides the templates needed to (re)create the stub, example, and tests. Would that work with what you had in mind? |
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The reason I favor that approach is we can backport templates for already ported exercises and not break existing solutions. |
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I never used Jinja, but I would be happy to look into it! If it's not easily adaptable from what I did here, it's not a problem. Feel free to close this PR if you think it's not a good starting point. It was more of a late day idea to "work less" to create the I'll try to take a look at the Python exercise generator after completing a few exercises for Hacktoberfest. 😉 |
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Draft PRs are works in progress so no need to close unless you want me to. It's useful to keep this open to document what's been done so far. |
Seeing the number of exercises to implement for
protein-translation, I saw big and started to port the Common Lisp exercise generator.There are still things to change and clean, but I was able to generate the files for the
protein-translationexercise.I added TODOs inside the main file (
racket_exercise_generator.py).Especially, I think the generator should use the configlet instead of mimicking it when possible.
I think it would be interesting to try it against a few already-implemented exercises, especially to evaluate the tests' generation.
What do you think? 😄