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I think this should be done in conjunction with #41, as mentioned in the article there is a large speedup for exported Seriatim models w.r.t. non-exported Seriatim models. Otherwise, it wouldn't really be a fair benchmark.
This issue is being closed because NumPy does calculate the seriatim values and provides a nice syntax for aggregating them as well. Function call overhead is too high and vectorization is not available either with seriatim methods that cache single values at a time instead of arrays.
It does allow for complex control flow, but that is not currently a requirement to correctly calculate any of the numbers that we currently are calculating.
Seems important based on discussion from here - https://modelx.io/blog/2023/08/19/enhanced-speed-for-exported-lifelib-models/
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