Remove last OrdinaryDiffEq mention

[TorkelE]

Was going to finish this one off #1096, but @vyudu already did. Did the one case remaining in a docstring though. Also, there is this from the JumpInputs docstring:

using Catalyst, OrdinaryDiffEq, JumpProcesses, Plots
rn = @reaction_network begin
    k*(1 + sin(t)), 0 --> A
end
jinput = JumpInputs(rn, [:A => 0], (0.0, 10.0), [:k => .5])
@assert jinput.prob isa ODEProblem
jprob = JumpProblem(jinput)
sol = solve(jprob, Tsit5())
plot(sol, idxs = :A)

rn = @reaction_network begin
    k, 0 --> A
end
jinput = JumpInputs(rn, [:A => 0], (0.0, 10.0), [:k => .5])
@assert jinput.prob isa DiscreteProblem
jprob = JumpProblem(jinput)
sol = solve(jprob)
plot(sol, idxs = :A)

Could this be changed from OrdinaryDiffEq to OrdinaryDiffEqTsit5 @isaacsas?

[isaacsas]

@TorkelE yes, that could probably be changed. Trying running it and if it works go ahead and update it too.

[isaacsas]

Let's see if tests are still failing.

[isaacsas]

Are you sure Tsit5 is a good recommendation for a spatial system? I would think you'd want an implicit solver often?

[TorkelE]

Good point actually. Not sure at all to be honest. Would the sensible be to just do some tests with various solvers and see what is fastest?

[isaacsas]

Good point actually. Not sure at all to be honest. Would the sensible be to just do some tests with various solvers and see what is fastest?

Yes, I'd think so.

[ChrisRackauckas]

Or at least ROCK

[isaacsas]

I think if you update to master this should hopefully now build.