generic-grader 0.1.4

A collection of parameterizable tests for automatic grading.

Generic Grader

A collection of generic tests for grading programming assignments.

This project is still in very early development. Expect breaking changes.

Installation

pip install generic-grader

Usage

1. Name the reference solution reference.py, and place it in a tests subdirectory of the directory containing the student's code.

2. Add a configuration file for the assignment in the tests subdirectory (e.g. tests/config.py). It might look something like this:

   from parameterized import param
   from generic_grader.style import comments # Import the tests you want to use
   from generic_grader.utils.options import Options
   
   # Create tests by calling each test type's build method.
   # They should all start with the word `test_` to be discovered by unittest.
   # Adding a number after `test_` can be used to control the run order.
   # The argument is a list of `param` objects, each with an `Options` object.
   # See the Options class for more information on the available options.
   test_01_TestCommentLength = comments.build(
      [
         param(
             Options(
                 sub_module="hello_user",
                 hint="Check the volume of comments in your code.",
                 entries=("Tim the Enchanter",),
             ),
         ),
         param(
             Options(
                 sub_module="hello_user",
                 hint="Check the volume of comments in your code.",
                 entries=("King Arthur",),
             ),
         ),
      ]
   )
   

3. Run the tests.

   python -m unittest tests/config.py
   

Contributing

1. Clone the repo onto your machine.

   • HTTPS

     git clone https://github.com/Purdue-EBEC/generic-grader.git
     

   • SSH

     git clone [e-mail]:Purdue-EBEC/generic-grader.git
     

2. Set up a new virtual environment in the cloned repo.

   cd generic-grader
   python3.12 -m venv .env3.12
   

3. Activate the virtual environment. If you are using VS Code, there may be a pop-up to do this automatically when working from this directory.

   • Linux/macOS

     source .env3.12/bin/activate
     

   • Windows

     .env3.12\Scripts\activate
     

4. Install tesseract-ocr

   • on Linux

     sudo apt install tesseract-ocr
     

   • on macOS

     brew install tesseract
     

   • on Windows, download the latest installers from https://github.com/UB-Mannheim/tesseract/wiki

5. Install the package. Note that this installs the package as editable, so edits will be automatically reflected in the installed package.

   pip install -e .[dev]
   

6. Install the pre-commit hooks.

   pre-commit install
   

7. Run the tests.

   pytest
   

8. Make changes ...

9. Deactivate the virtual environment.

   deactivate