Unitgrade is an automatic report and exam evaluation framework that enables instructors to offer automatically evaluated programming assignments.
Unitgrade is an automatic report and exam evaluation framework that enables instructors to offer automatically evaluated programming assignments.
Unitgrade is build on pythons `unittest` framework so that the tests can be specified in a familiar syntax and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A powerful cache system allows instructors to automatically create test-answers based on a working solution.
Unitgrade is build on pythons `unittest` framework so that the tests can be specified in a familiar syntax and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A powerful cache system allows instructors to automatically create test-answers based on a working solution.
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**Note: This is the development version of unitgrade. If you are a student, please see http://gitlab.compute.dtu.dk/tuhe/unitgrade.**
**Note: This is the development version of unitgrade. If you are a student, please see http://gitlab.compute.dtu.dk/tuhe/unitgrade.**
# Using unitgrade
# Using unitgrade
The examples can be found in the `/examples/` directory: https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/examples
## A simple example
## A simple example
Unitgrade makes the following assumptions:
Unitgrade makes the following assumptions:
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These steps compile a Docker image (you can easily add whatever packages you need) and runs **our** `project3_complete_grade.py` script on the **students** source code (as taken from the token file).
These steps compile a Docker image (you can easily add whatever packages you need) and runs **our** `project3_complete_grade.py` script on the **students** source code (as taken from the token file).
The last lines load the result and compare the score -- in this case both will return 0 points.
The last lines load the result and compare the score -- in this case both will return 0 points, and any dissimilarity in the results should be immediate cause for concern.
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- Docker prevents students from doing mailicious things to your computer and allows the results to be reproducible by TAs.
