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thanks for this fantastic project! It was very useful for my current project. However, I'm facing some problems due to numba. It's nothing wrong with your code, but with my project when I want to dockerize it. I don't know why, if I add the library numba @ git+https://github.com/numba/[email protected] to my requirements to be installed, my docker is getting ages to be build (I need to use that version because I need to use numpy 1.24 and that branch is the first to be compatible with numpy 1.24).
May I ask you, if is it possible to have a non-numba version? or simply, if you don't wanna have it here, how can I remove numba? just removing the @nb. above function definitions? what about nb.pranges? is just moving them to np.arange?
The text was updated successfully, but these errors were encountered:
thanks for the feedback and great that it helped you!
just removing the @nb. above function definitions? what about nb.pranges? is just moving them to np.arange?
yes exactly, I think this should be fine.
I would need to think about how a non-numba version could work. Would you want to also be able to install it from pip or only a git version?
Note also that the performance will be like 4000x slower than without numba, see here for more details. However, for rather small grids it should also be fine.
Hi @lukasalexanderweber ,
thanks for this fantastic project! It was very useful for my current project. However, I'm facing some problems due to numba. It's nothing wrong with your code, but with my project when I want to dockerize it. I don't know why, if I add the library numba @ git+https://github.com/numba/[email protected] to my requirements to be installed, my docker is getting ages to be build (I need to use that version because I need to use numpy 1.24 and that branch is the first to be compatible with numpy 1.24).
May I ask you, if is it possible to have a non-numba version? or simply, if you don't wanna have it here, how can I remove numba? just removing the @nb. above function definitions? what about nb.pranges? is just moving them to np.arange?
The text was updated successfully, but these errors were encountered: