#LIGHTTABLE PACKAGED JULIA CODE#

This would make SciMLSensitivity get installed even when it isn’t needed, but it would only make it get using’d as required so it’s a partial solution.īut what I’m saying the issue is, is that if you try and make SciMLSensitivity into a dependency of DiffEqBase you get an error about having a circular dependency because (as a glue package) it has a dependency on DiffEqBase.

#LIGHTTABLE PACKAGED JULIA CODE#

The suggested way to do this was to make SciMLSensitivity into a dependency of DiffEqBase and then make a ZygoteExt whose only code is using SciMLSensitivity. Right now if you try to use Zygote on a differential equation without using SciMLSensitivity, you get an error telling you to using SciMLSensitivity, so the improvement would be to use the package extension functionality to automatically load SciMLSensitivity when Zygote and DiffEqBase are both loaded. To bring this down to something more concrete, DiffEqBase is the core of differential equations, Zygote does automatic differentiation, and SciMLSensitivity adds adjoint overloads to the differential equation solvers for automatic differentiation. That sounded great, but when I went to try and go do that, I realized it did not work because it introduced a circular dependency, and such circular dependencies are not allowed in Pkg. The posted way in Slack to do this was to make the glue package be a dependency of the original package and then make the extension module reexport using the glue package. I think we may have covered this in a Slack discussion but haven’t put it online yet? The answer is that it’s a missing feature right now.

Lighttable packaged julia