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[Linting]: Lint practice stub files (5 / ?) #2792

Merged
merged 4 commits into from
Nov 18, 2021
Merged

[Linting]: Lint practice stub files (5 / ?) #2792

merged 4 commits into from
Nov 18, 2021

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J08K
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@J08K J08K commented Nov 18, 2021

According to issue #2582.

@J08K J08K added the x:size/large Large amount of work label Nov 18, 2021
@J08K J08K requested a review from BethanyG November 18, 2021 21:04
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Hi & Welcome! 👋🏽 👋

Thank you for contributing to exercism/python 💛 💙 -- we really appreciate it! 🌟 🌈


This is an automated [🤖 🤖  ] comment for the maintainers of this repository, notifying them of your contribution. 🎉
Someone will review/reply to your changes shortly. (usually within 72 hours.)
You can safely ignore the maintainers section below.


⚠️  Please be aware ⚠️

     This repo does not generally accept Pull Requests unless they follow our contributing guidelines and are:

     1️⃣     Small, contained fixes for typos/grammar/punctuation/code syntax on [one] exercise,
     2️⃣     Medium changes that have been agreed/discussed via a filed issue,
     3️⃣     Contributions from our [help wanted][help-wanted] issue list,
     4️⃣     Larger (previously agreed-upon) contributions from recent & regular (within the last 6 months) contributors.

    Pull Requests not in these categories will be closed. 😞



💙 It looks like you are changing/adding files in a Practice Exercise! 💙

Please note: generally, changes to existing practice exercises or the addition
of new ones are proposed & discussed in problem-specifications first, so that all tracks can potentially benefit.
Once a change is approved there by three maintainers, it becomes available for various language tracks to then implement.


‼️  Did You...

  •  Update & rebase your branch with any (recent) upstream changes.
  •  Spell and grammar check all prose changes.
  •  Run Prettier on all markdown and JSON files.
  •  Run flake8 with flake8 config to check general code style standards.
  •   Run pylint with pylint config to check extended code style standards.
  •  Use pytest or the python-track-test-runner to test any changed example.py/exemplar.pyfiles
     against their associated test files.
  •  Similarly, use pytest or the python-track-test-runner to test any changed test files.
    • Check that tests fail properly, as well as succeed.
       (e.g., make some tests fail on purpose to "test the tests" & failure messages).
  •  Double-check all files for proper EOL.
  •  Regenerate exercise documents when you modified or created a hints.md file for a practice exercise.
  •  Regenerate the test file if you modified or created a JinJa2 template file for a practice exercise.
    • Run the generated test file result against its example.py.
  •  Run configlet-lint if the track config.json, or any other exercise config.json has been modified.


✅️  Have You Checked...

.
Are there any additional changes you need to make?
Please make sure all associated files are present and consistent with your changes!

Practice Exercise Anatomy

  • .docs/instructions.md(required)
  • .docs/introduction.md(optional)
  • .docs/introduction.append.md(optional)
  • .docs/instructions.append.md (optional)
  • .docs/hints.md(optional)
  • .meta/config.json (required)
  • .meta/example.py (required)
  • .meta/design.md (optional)
  • .meta/template.j2 (template for generating tests from canonical data)
  • .meta/tests.toml (do you need to include or exclude any cases?)
  • <exercise-slug>_test.py (do you need to regenerate this?)
  • <exercise-slug>.py (required)

🛠️    Maintainers   

Please take note 📒 of the following sections/review items 👀 ✨



🌈  Acknowledgements and Reputation
  • ❓ Does this PR need to receive a label with a reputation modifier?
    • medium is awarded by default.
  • ❓ Does this contributor need to be added to the exercise authors or contributors?
  • ❓ Does this contributor need to be added to the concept authors or contributors?
  • ❓ Is there an associated issue or issues that should be linked to this PR?
💫  General Code Quality

    Verify:

    •  The branch was updated & rebased with any (recent) upstream changes.
    •  All prose was checked for spelling and grammar.
    •  Files are formatted via yapf (yapf config) & conform to our coding standards
    •  Files pass flake8 with flake8 config & pylint with pylint config.
    •  Changed example.py/exemplar.py files still pass their associated test files.
    •  Changed test files still work with associated example.py/exemplar.py files.
      • Check that tests fail properly, as well as succeed.
        (e.g., make some tests fail on purpose to "test the tests" & failure messages).
    •  All files have proper EOL.
    •  If a JinJa2 template was modified/created, was the test file regenerated?
      • Does the regenerated test file successfully test the exercises example.py file?
    •  The branch passes all CI checks & configlet-lint.


🌿  Changes to Concept Exercises
  • ❓ Are all required files still up-to-date & configured correctly for this change?_
  • ❓ Does <exercise>/.meta/design.md need to be updated with new implementation/design decisions
  • ❓ Do these changes require follow-on/supporting changes to related concept documents?
    ✨  Where applicable, check the following ✨

      (as a reminder: Concept Exercise Anatomy)

      • Exercise introduction.md
        • Do all code examples compile, run, and return the shown output?
        • Are all the code examples formatted per the Python docs?
      • Exercise instructions.md
      • Exercise hints.md
      • Check that exercise design.md was fulfilled or edited appropriately
      • Exercise exemplar.py
        • Only uses syntax previously introduced or explained.
        • Is correct and appropriate for the exercise and story.
      • Exercise <exercise_name>.py (stub)
        • Includes appropriate docstrings and function names.
        • Includes pass for each function
        • Includes an EOL at the end
      • Exercise <exercise_name>_test.py
        • Tests cover all (reasonable) inputs and scenarios
        • At least one test for each task in the exercise
        • If using subtests or fixtures they're formatted correctly for the runner
        • Classnames are <ExerciseName>Test
        • Test functions are test_<test_name>
      • Exercise config.json --> valid UUID4
      • Corresponding concept introduction.md
      • Corresponding concept about.md
      • Concept config.json
      • All Markdown Files : Prettier linting (for all markdown docs)
      • All Code files: PyLint linting (except for test files)
      • All files with text: Spell check & grammar review.
🚀  Changes to Practice Exercises

    Is the exercise is in line with Practice Exercise Anatomy?

    • .docs/instructions.md(required)
      • Was this file updated and regenerated properly?
    • .docs/introduction.md(optional)
    • .docs/introduction.append.md(optional)
    • .docs/instructions.append.md (optional)
      • Are any additional instructions needed/provided?
         (e.g. error handling or information on classes)
    • .docs/hints.md(optional)
      • Was this file regenerated properly?
    • .meta/config.json (required)
    • .meta/example.py (required)
      • Does this pass all the current tests as written/generated?
    • .meta/design.md (optional)
    • .meta/template.j2 (template for generating tests from canonical data)
      • Was a test file properly regenerated from this template?
    • .meta/tests.toml
      • Are there additional test cases to include or exclude?
      • Are there any Python-specific test cases needed for this exercise?
    • <exercise-slug>_test.py
      • Does this file need to be regenerated?
      • Does this file correctly test the example.py file?
      • Does this file correctly report test failures and messages?
    • <exercise-slug>.py (required)
      • Does this stub have enough information to get
         the student started coding a valid solution?
🐣  Brand-New Concept Exercises

    Is the exercise is in line with Concept Exercise Anatomy?

    • Exercise introduction.md
      • Do all code examples compile, run, and return the shown output?
      • Are all the code examples formatted per the Python docs?
    • Exercise instructions.md
    • Exercise hints.md
    • Check that exercise design.md was fulfilled or edited appropriately
    • Exercise exemplar.py
      • Only uses syntax previously introduced or explained.
      • Is correct and appropriate for the exercise and story.
    • Exercise <exercise_name>.py (stub)
      • Includes appropriate docstrings and function names.
      • Includes pass for each function
      • Includes an EOL at the end
    • Exercise <exercise_name>_test.py
      • Tests cover all (reasonable) inputs and scenarios
      • At least one test for each task in the exercise
      • If using subtests or fixtures they're formatted correctly for the runner
      • Classnames are <ExerciseName>Test
      • Test functions are test_<test_name>
    • Exercise config.json --> valid UUID4
    • Corresponding concept introduction.md
    • Corresponding concept about.md
    • Concept config.json
    • All Markdown Files : Prettier linting (for all markdown docs)
    • All Code files: Flake8 & PyLint linting
    • All Code Examples: proper formatting and fencing. Verify they run in the REPL
    • All files with text: Spell check & grammar review.


Our   💖   for all your review efforts! 🌟 🦄

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Many Thanks! 🌟 You deserve a trophy for your efforts on Pythagorean triplet alone...

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