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Interesting topic. We did something similar in the past using the bytecode instead of the AST tree to accelerate genetic algorithm evolution:

http://multigrad.blogspot.com/2014/07/low-level-frenzy.html http://multigrad.blogspot.com/2014/06/fun-with-python-byteco...

I'm curious, what was the original use case for pyast64? Feels like we could apply it to genetic programming fairly straightforwardly.




Sorry, I didn't have a use case -- I did it purely for fun. However, I got the idea when I was trying to optimize some Python bytecode.




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