Fix downstream test sources for OrdinaryDiffEq 7

src/vector_of_array.jl

@@ -797,6 +797,15 @@ Base.@propagate_inbounds function Base.getindex(A::AbstractVectorOfArray, _arg,
     end
     symtype = symbolic_type(_arg)
     elsymtype = symbolic_type(eltype(_arg))
+    # For symbolic indices, `A[sym, :]` is semantically equivalent to `A[sym]`
+    # (the no-args symbolic getindex already returns the full timeseries).
+    # Routing through the no-args path here also avoids a broadcast shape bug
+    # in SymbolicIndexingInterface's `GetStateIndex` when the underlying index
+    # is a `Vector{Int}` (array-symbolic) combined with a `Colon` time index.
+    if (symtype != NotSymbolic() || elsymtype != NotSymbolic()) &&
+            length(args) == 1 && args[1] === Colon()
+        return A[_arg]
+    end
 
     return if symtype == NotSymbolic() && elsymtype == NotSymbolic()
         if _arg isa Union{Tuple, AbstractArray} &&

test/downstream/Project.toml

@@ -4,7 +4,9 @@ ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
 MonteCarloMeasurements = "0987c9cc-fe09-11e8-30f0-b96dd679fdca"
 NLsolve = "2774e3e8-f4cf-5e23-947b-6d7e65073b56"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
+OrdinaryDiffEqRosenbrock = "43230ef6-c299-4910-a778-202eb28ce4ce"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
+RecursiveArrayToolsShorthandConstructors = "39fb7555-b4ad-4efd-8abe-30331df017d3"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 SymbolicIndexingInterface = "2efcf032-c050-4f8e-a9bb-153293bab1f5"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
@@ -18,6 +20,7 @@ ModelingToolkit = "8.33, 9, 10, 11"
 MonteCarloMeasurements = "1.1"
 NLsolve = "4"
 OrdinaryDiffEq = "6.31, 7"
+OrdinaryDiffEqRosenbrock = "1, 2"
 StaticArrays = "1"
 SymbolicIndexingInterface = "0.3"
 Tables = "1"

test/downstream/downstream_events.jl

@@ -1,4 +1,4 @@
-using OrdinaryDiffEq, StaticArrays, RecursiveArrayTools
+using OrdinaryDiffEq, StaticArrays, RecursiveArrayTools, RecursiveArrayToolsShorthandConstructors
 u0 = AP[SVector{1}(50.0), SVector{1}(0.0)]
 tspan = (0.0, 15.0)
 

test/downstream/odesolve.jl

@@ -1,4 +1,5 @@
-using OrdinaryDiffEq, NLsolve, RecursiveArrayTools, Test, ArrayInterface, StaticArrays
+using OrdinaryDiffEq, OrdinaryDiffEqRosenbrock, NLsolve, RecursiveArrayTools,
+    RecursiveArrayToolsShorthandConstructors, Test, ArrayInterface, StaticArrays
 function lorenz(du, u, p, t)
     du[1] = 10.0 * (u[2] - u[1])
     du[2] = u[1] * (28.0 - u[3]) - u[2]
@@ -9,7 +10,7 @@ u0 = AP[[1.0, 0.0], [0.0]]
 tspan = (0.0, 100.0)
 prob = ODEProblem(lorenz, u0, tspan)
 sol = solve(prob, Tsit5())
-sol = solve(prob, AutoTsit5(Rosenbrock23(autodiff = false)))
+sol = solve(prob, AutoTsit5(Rosenbrock23(autodiff = AutoFiniteDiff())))
 sol = solve(prob, AutoTsit5(Rosenbrock23()))
 
 @test all(Array(sol) .== sol)
@@ -72,4 +73,4 @@ end
 u = fill(SVector{2}(ones(2)), 2, 3)
 ode = ODEProblem(rhs!, VectorOfArray(u), (0.0, 1.0))
 sol = solve(ode, Tsit5())
-@test SciMLBase.successful_retcode(sol)
+@test successful_retcode(sol)

test/downstream/symbol_indexing.jl

@@ -77,7 +77,7 @@ ts = 0:0.5:10
 sol_ts = sol(ts)
 @assert sol_ts isa DiffEqArray
 test_tables_interface(
-    sol_ts, [:timestamp, Symbol("x(t)"), Symbol("y(t)")],
+    sol_ts, [:timestamp; Symbol.(string.(unknowns(lv)))],
     hcat(ts, Array(sol_ts)')
 )