Add Mazy Mice Exercise to the Repository

[rabestro]

This commit introduces a new exercise named 'Mazy Mice'. The exercise is designed to implement a maze generator that produces perfect mazes, i.e., mazes that have only one correct path, without any isolated sections. User must also adhere to the restrictions about the maze's size and layout depicted in the problem description. Tasks also include a description of how the mazes should be visually represented. The commit also includes canonical data for testing the described functionality.

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[IsaacG]

Please add a forum link to this discussion.

[rabestro]

Please add a forum link to this discussion. https://forum.exercism.org/t/add-mazy-mice-exercise-to-the-repository/7113

[ErikSchierboom]

Thanks for creating the PR! I am not entirely sure how useful the canonical data is right now as the current format does not really allow for easy test generation. This is not something this PR can do a ton about, as randomness is really hard.

It might be worth looking at how we deal with randomness in other canonical data:

• https://github.com/exercism/problem-specifications/blob/main/exercises/diffie-hellman/canonical-data.json
• https://github.com/exercism/problem-specifications/blob/main/exercises/dnd-character/canonical-data.json

I think the idea of a maze generator is really cool, I'd just like us to think a bit on how to best structure the canonical data to allow it to be as helpful as it can be for implementing tracks. CC @exercism/reviewers

[rabestro]

I think the idea of a maze generator is really cool, I'd just like us to think a bit on how to best structure the canonical data to allow it to be as helpful as it can be for implementing tracks. CC @exercism/reviewers

I have updated the canonical data with additional test cases and provided a Java implementation, which can be found at https://github.com/exercism/java/pull/2355. However, I am encountering an issue with my markdown formatting and the CI/CD process is failing as a result. I am unsure of what steps to take to correct the formatting error.

[ErikSchierboom]

@rabestro You can format the file using:

yarn install
yarn run format-md

[ErikSchierboom]

I have updated the canonical data with additional test cases

The expected values are still string values. Did you look at the examples I listed? If so, what did you think? CC @exercism/reviewers for thoughts on how to best structure this canonical data

[rabestro]

@rabestro You can format the file using:

yarn install
yarn run format-md

fixed, thank you!

[ErikSchierboom]

Did you mean to close it?

[rabestro]

I have updated the canonical data with additional test cases

The expected values are still string values. Did you look at the examples I listed? If so, what did you think? CC @exercism/reviewers for thoughts on how to best structure this canonical data

I changed to numbers and boolean values

[rabestro]

Did you mean to close it?

No, I just closed the comments. :)