Mini-moulinette

Mini-moulinette is a test runner for 42 assignments, providing automated tests for whole assignment with one command. The goal is to make thorough checking before submitting the assignments, with ease.

Introduction

This is now day 11 of piscine. I have wasted so many hours getting evaluated, doing evaluation, waiting for evaluation, only to come back redoing it again because I kept making silly mistakes. I wish I can check my code thoroughly before submitting, but that too, will take a lot of my time. This is why I build this so I can stop wasting my time and many others, and shut moulinette up with just a single submission.

How Does It Work?

• Mini moulinette runs through all the tests cases automatically, and checks if the test conditions are met.
• It will then output the result.
• The scores are based on 42's practice, where if easier/earlier questions are incorrect, the rest won't count.

Updating

Mini moulinette is updated daily, to update:

1. Go to the project git.

2. Update to the new version.

   git pull
   ./install.sh

Get Started

Warning Mini moulinette is not 100% accurate, the tests may not cover every edge cases like moulinette. Use with caution.

1. Clone the project.

   git clone https://github.com/HanchaiN/mini-moulinette.git

2. Now install (create an alias for) it.

   ./install.sh

3. Go to your assignment directory where you want to test: e.g: C02 directory

   cd C02

4. Run using command mini with assignment number as argument. e.g: C02.

   mini C02

   e.g: C03

   mini C03

5. You can now run it for every assignment directory, where tests are provided. Have fun!

Debugging

The error/success messages should be explicit enough. However sometimes you will get segmentation fault or your code doesn't compile

If your code doesn't compile

• Check the headers
• Check if it contains main inside
• Check if your function name is similar to a function from standard library, if it is then it will have problem

If you receive segmentation fault

• You need to find the test cases, go here:

cd ~/mini-moulinette/mini-moul/tests

The current directory contains all the test cases. Every test is in the file that is the same name as the function/program it is testing, e.g. C05/ex00/ft_iterative_factorial.c will contain test for C05 > ex00 > ft_iterative_factorial.c.

The test cases are usually put in a list of array in this structure, e.g. for ft_iterative_factorial test:

 t_test tests[] = {
        {
            .desc = "Factorial of 0",
            .n = 0,
            .expected = 1,
        },
        {
            .desc = "Factorial of 1",
            .n = 1,
            .expected = 1,
        },
        {
            .desc = "Factorial of 2",
            .n = 2,
            .expected = 2,
        },
        {
            .desc = "Factorial of 10",
            .n = 10,
            .expected = 3628800,
        },
        {
            .desc = "Factorial of a negative number",
            .n = -5,
            .expected = 0,
        },
 }

Customizing

See the above, you can add more tests here. You need to manage your customization yourself when you pull for updates though.

Status

Assignment	Coverage	Accuracy	Remarks
C00	9/9	Not yet rated
C01	9/9	Not yet rated
C02	12/13	Not yet rated
C03	6/6	Not yet rated
C04	6/6	Not yet rated
C05	8/9	Not yet rated	ex05, ex06, ex07 tests doesn't cover all edge cases
C06	4/4	Not yet rated
C07	6/6	Not yet rated	ex02, ex03 tests doesn't cover all edge cases
C08	6/6	Not yet rated	every tests mostly just cover compilation
C09	0/3	Not yet rated	WIP
C10	0/4	Not yet rated	WIP
C11	0/8	Not yet rated	WIP
C12	0/18	Not yet rated
C13	0/8	Not yet rated

Contributing

We welcome contributions to mini-moulinette! Here are a few ways you can help out:

• Testing: We rely on community feedback to ensure our tests are comprehensive and accurate. If you notice an error in one of our tests or have an idea for a new test case, please let us know! You can contact us via email at [email address] or on Discord at [Discord username]. We would greatly appreciate any feedback or suggestions you have.
• Code: If you're interested in contributing to the codebase itself, we'd be happy to review any pull requests you submit. We have a few guidelines to ensure that our code is readable and maintainable, so please take a look at our contributing guidelines before you get started.
• Features: Do you have an idea for a new feature that you think would be useful for mini-moulinette? We'd love to hear it! Please create an issue on our GitHub repository to start a discussion.
• Feedback: If you've used mini-moulinette and have some feedback or suggestions for improvement, please let us know! Your input is valuable to us, and we're always looking for ways to make our test runner better.

When contributing to mini-moulinette, please be sure to follow our code of conduct and our guidelines for submitting contributions. Thank you for your interest in our project, and we look forward to working with you!

Authors

Khairul Haaziq Hanchai Nonprasart

Contributors

chatGPT

License

MIT. Copyright 2023 Khairul Haaziq.