Verify Python code submissions and auto-generate meaningful feedback messages. Originally developed for Python exercises on DataCamp for so-called Submission Correctness Tests, but can also be used independently.
- New to teaching on DataCamp? Check out https://instructor-support.datacamp.com
- To learn what SCTs are and how they work, visit this article specifically.
- For a complete overview of all functionality inside pythonwhat and articles about what to use when, consult https://pythonwhat.readthedocs.io.
# latest stable version from PyPi pip install pythonwhat # latest development version from GitHub pip install git+https://github.com/datacamp/pythonwhat
To experiment locally, you can use setup_state() and write SCTs interactively.
The code throws an error when the underlying checks fail.
# make all checking functions available from pythonwhat.test_exercise import prep_context _, ctxt = prep_context() globals().update(ctxt) # initialize state with student and solution submission from pythonwhat.test_exercise import setup_state setup_state(stu_code = "x = 5", sol_code = "x = 4") Ex().check_object('x') # No error: x is defined in both student and solution process Ex().check_object('x').has_equal_value() # TestFail: Did you correctly define the variable `x`? Expected `4`, but got `5`. # Debugging state Ex()._state # access state object dir(Ex()._state) # list all elements available in the state object Ex()._state.student_code # access student_code of state object
To learn how to include an SCT in a DataCamp course, visit https://instructor-support.datacamp.com.
pyenv local 3.12.7 pip3.12 install -r requirements-test.txt pip3.12 install -e . pytest
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