Crop growth model to address food security and assess the effect of the environment and management on crop production. Python code to run an AquaCrop simulation. AquaCrop was developed by the The Food and Agriculture Organization (FAO).
Building with tests included
For now, developers will need to download the repo and instal it in 'editable mode' to avoid having to re-build it:
pip install -e .
Leveraging pytest with the pytest-cov module:
pytest -v --cov=aquacroppy
Alternatively, you could run the unit tests with nose:
nosetests --with-coverage --cover-package=aquacroppy -v
Test Driven Development
The idea is to only write code that meets a specification. Generally speaking, the specifications are the tests.
Here is a sample workflow:
- start with a test suite that passes
- write a test for code that does not yet exist
- run the test, (confirm that it fails)
- write the minimal amount of code to get the test to pass
- run the entire test suite again (confirm that new code doesn't break other parts of the application)
- commit code repository
After checking out the repo, run the following command if you want to generate distributions:
python3 setup.py sdist bdist_wheel
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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