Numpy components #2
Description
I've had theories of assigning components based on Numpy dtypes and then accessing those in a vectorized way, but it's hard to settle on how this would work in practice. The biggest issue is how everything works with sparse-sets right now but Numpy stuff would work best with archetypes. With sparse-sets all the performance benefits of Numpy are lost as it'd take so long to lookup the array indexes that you could just use Python objects directly.
EnTT may have solved this problem with "groups" but I'm not experienced enough to follow the article at the moment.
https://skypjack.github.io/2019-04-12-entt-tips-and-tricks-part-1/
Writing this down to keep track of it. I probably won't come back to this for a while.