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Dynamically organized Python

Project description


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 tests directory.

To run tests, go to the repo's home directory and run python -m pytest

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