| slug |
Hyphenated lowercase exercise name |
| uuid |
Generate using configlet uuid |
| core |
Set to false; core exercises are decided by track maintainers |
| unlocked_by |
Slug for the core exercise that unlocks the new one |
| difficulty |
1 through 10. Discuss with reviewer if uncertain. |
| topics |
Array of relevant topics from the topics list |
## Implementing Track-specific Exercises
Similar to implementing a canonical exercise that has no `canonical-data.json`, but the exercise README will also need to be written manually. Carefully follow the structure of generated exercise READMEs.
## Pull Request Tips
Before committing:
- Run `configlet fmt` and `configlet lint` before committing if [`config.json`](config.json) has been modified
- Run [flake8] to ensure all Python code conforms to style standards
- Run `test/check-exercises.py [EXERCISE]` to check if your test changes function correctly
- If you modified or created a `hints.md` file, [regenerate the README](#generating-exercise-readmes)
- If your changes affect multiple exercises, try to break them up into a separate PR for each exercise.
[configlet]: https://github.com/exercism/configlet
[Exercism contributing guide]: https://github.com/exercism/docs/blob/master/contributing-to-language-tracks/README.md
[problem-specifications]: https://github.com/exercism/problem-specifications
[topics list]: https://github.com/exercism/problem-specifications/blob/master/TOPICS.txt
[flake8]: http://flake8.pycqa.org/