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Copy pytest.ini
to exercises/shared
for Future Download via Exercism CLI
#2806
Conversation
Hi & Welcome! 👋🏽 👋 Thank you for contributing to This is an automated [🤖 🤖 ] comment for the
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💫 General Code Quality
- 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).
- Check that tests fail properly, as well as succeed.
- 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?
- Does the regenerated test file successfully test the exercises
- The branch passes all CI checks &
configlet-lint
.
Verify: |
🌿 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?
- 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.
✨ Where applicable, check the following ✨
(as a reminder: Concept Exercise Anatomy) |
🚀 Changes to Practice Exercises
-
.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)
- Are any additional instructions needed/provided?
-
.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?
- Does this stub have enough information to get
Is the exercise is in line with Practice Exercise Anatomy? |
🐣 Brand-New Concept Exercises
- 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.
Is the exercise is in line with Concept Exercise Anatomy? |
Our 💖 for all your review efforts! 🌟 🦄
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This should then fix those stoopid lil warnings
No description provided.