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Project description
pythonwhat
Verify Python code submissions and automatic generation of meaningful feedback. Originally developed for Python exercises on DataCamp, to be used in so-called Submission Correctness Tests, but can also be used independently.
- If you are new to teaching on DataCamp, check out https://authoring.datacamp.com.
- If you want to learn what SCTs are and how they work, visit this article specifically.
- For a complete overview of all functionality inside
pythonwhatand articles about what to use when, consult https://pythonwhat.readthedocs.io.
Installation
# latest stable version from PyPi
pip install pythonwhat
# latest development version from GitHub
pip install git+https://github.com/datacamp/pythonwhat
Demo
To experiment locally, you can use setup_state() and write SCTs interactively.
The code throws an error when the underlying checks fail.
from pythonwhat.local import setup_state
s = setup_state(stu_code = "x = 5", sol_code = "x = 4")
s.check_object('x')
# No error: x is defined in both student and solution process
s.check_object('x').has_equal_value()
# TestFail: Check the variable `x`. Unexpected expression value: expected `4`, got `5`.
# Debugging state
s._state # access state object
dir(s._state) # list all attributes of the state object
s._state.student_code # access student_code of state object
To learn how to include an SCT in a DataCamp course, visit https://authoring.datacamp.com.
Run tests
Use Python 3.5
# install packages used in tests (should be reduced)
pip install -r requirements.txt
# install pythonwhat
cd /path/to/pythonwhat
pip install -e .
pytest
To disable deprecation warnings: $ export PYTHONWARNINGS="ignore"
For more details, questions and suggestions, contact learn-engineering@datacamp.com.
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