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. 😞

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.

• ❓ 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.

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?

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.