test: pick out the tunables of initialization problem adjoint

Author: DhairyaLGandhi

ext/SciMLBaseZygoteExt.jl

@@ -164,7 +164,6 @@ end
 
 @adjoint function Base.getindex(VA::SciMLBase.NonlinearSolution, sym)
     function NonlinearSolution_getindex_pullback(Δ)
-        @show "in the getindwx"
         i = symbolic_type(sym) != NotSymbolic() ? variable_index(VA, sym) : sym
         if is_observed(VA, sym)
             f = observed(VA, sym)
@@ -177,8 +176,6 @@ end
                 f.f_oop(u, _p)
             end
             gs = back(Δ)
-            # @show gs[2]
-            # @show Δ
             ((u = gs[1], prob = (p = (tunable = gs[2],),)), nothing)
         elseif i === nothing
             throw(error("Zygote AD of purely-symbolic slicing for observed quantities is not yet supported. Work around this by using `A[sym,i]` to access each element sequentially in the function being differentiated."))

test/downstream/observables_autodiff.jl

@@ -101,7 +101,7 @@ end
         gs, = gradient(isol) do isol
             isol[sys.ampermeter.i]
         end
-        gt = gs.prob.p
+        gt = gs.prob.p.tunable
         @test length(findall(!iszero, gt)) == 1
     end
 end