Dynamically organized Python
Stands for "dynamically organized Python program". In other words, specify what is about to be computed, store them as callbacks, and organize such callbacks in an efficient manner that does not require low-level modification of your code.
- auto-detection of parallelizable computation
- auto-handled parallelization
Tests should be put in the
To run tests, go to the repo's home directory and run
python -m pytest
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