I'll post it as a question as I am not quite sure that it is a bug. I have been experimenting for a while with the library in a custom environment for a school project and I am really interested in the reproducibility of the result. I have read the disclaimer in the documentation that reads that reproducible results are not guaranteed across multiple platforms or different versions of Pytorch. Ho

using ModelingToolkit, DifferentialEquations
@parameters r t
@variables x(t)
D = Differential(t)
eq = D(x) ~ r*x 
sys = ODESystem(eq)
prob = ODEProblem(sys, rand(1), (0, 10.))
solve(prob)

It makes much more sense to error when ODEProblem is not given adequate information to be able to solve, and not during solve.

Add more design patterns that are currently not present in the repo. Please mention here if you want any pattern to be added. Required language is Kotlin