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CovertLab / arrow

Stochastic simulations in python
MIT License
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Language and mathematical standardizations #22

Closed jmason42 closed 5 years ago

jmason42 commented 5 years ago

This addresses #10, #16, and #19. I also slightly redesigned the propensity recalculation logic, as it was recomputing some propensities multiple times in the same step, and it was also recomputing propensities even if only the product abundances changed.

jmason42 commented 5 years ago

These changes should address your concerns. I went with time_current in place of t and time_to_next in place of dt, both of which are clumsy but at least clearer and more consistent.

prismofeverything commented 5 years ago

Awesome, thanks for this! I'll roll it into a new release.