generalize reset to work with NoiseFunction

[rmsrosa]

This changes the way reset is done for a new solve in a way to accommodate noises of type NoiseFunction.

It checks for W.curt != t instead of W.t[end] != t, so it works for the usual noises, which do have the field t and for which W.curt is the same as W.t[end], and for NoiseFunctions, which do not have the field t.

To be fully functional, this depends on implementing a proper dispatch of reinit! to NoiseFunction in SciML/DiffEqNoiseProcesses.jl, as proposed in the PR SciML/DiffEqNoiseProcess.jl#114.

This should close #493.

With these things implemented, we get the proper behavior (c.f. #493):

using StochasticDiffEq, DiffEqNoiseProcess

f(u, p, t, Y) = Y * u

y(a, p, t) = -t
Y = NoiseFunction(0.0, y, reset=true)

u0 = 1.0
tspan = (0.0, 1.0)

prob = RODEProblem(f, u0, tspan, noise=Y)

julia> sol = solve(prob, RandomEM(), dt=1/100)
retcode: Success
Interpolation: 1st order linear
t: 101-element Vector{Float64}:
 0.0
 ⋮
 1.0
u: 101-element Vector{Float64}:
 1.0
 ⋮
 0.6085659649572785

julia> sol = solve(prob, RandomEM(), dt=1/100)
retcode: Success
Interpolation: 1st order linear
t: 101-element Vector{Float64}:
 0.0
 ⋮
 1.0
u: 101-element Vector{Float64}:
 1.0
 ⋮
 0.6024803053077056

julia> Y.curt
1.0

And preserving the behavior for "regular" noises

julia> prob = RODEProblem(f, u0, tspan, noise=W)

RODEProblem with uType Float64 and tType Float64. In-place: false
timespan: (0.0, 1.0)
u0: 1.0

julia> sol = solve(prob, RandomEM(), dt=1/100);

julia> sol = solve(prob, RandomEM(), dt=1/100);

julia> W.curt
1.0

[ChrisRackauckas]

@oscardssmith https://github.com/SciML/StochasticDiffEq.jl/runs/7886061441?check_suite_focus=true#step:6:424 I think you caused a downstream failure.

[ChrisRackauckas]

@frankschae can you track down the regression in the weak adaptive GPU? I think it's a KernelAbstractions.jl Rational support bug, so @vchuravy might need an MWE.

But this looks fine to merge.

[ChrisRackauckas]

This needs a test which would catch it.

[rmsrosa]

Yeah, a test is good. Just added some.