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make symbolic indexing return VectorOfArray #466

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12 changes: 6 additions & 6 deletions src/ensemble/ensemble_solutions.jl
Original file line number Diff line number Diff line change
Expand Up @@ -199,17 +199,17 @@ end
end


Base.@propagate_inbounds function Base.getindex(x::AbstractEnsembleSolution, ::Colon, s)
return [xi[s] for xi in x]
Base.@propagate_inbounds function Base.getindex(x::AbstractEnsembleSolution, s, ::Colon)
return VectorOfArray([xi[s] for xi in x])
end

Base.@propagate_inbounds function Base.getindex(x::AbstractEnsembleSolution, ::Colon, args::Colon...)
return invoke(getindex, Tuple{RecursiveArrayTools.AbstractVectorOfArray, Colon, typeof.(args)...}, x, :, args...)
end
Base.@propagate_inbounds function Base.getindex(x::AbstractEnsembleSolution, ::Colon, args::Int...)
return [xi[args...] for xi in x]
end
#Base.@propagate_inbounds function Base.getindex(x::AbstractEnsembleSolution, args::Int..., ::Colon)
# return VectorOfArray([xi[args...] for xi in x])
#end

function (sol::AbstractEnsembleSolution)(args...; kwargs...)
[s(args...; kwargs...) for s in sol]
VectorOfArray([s(args...; kwargs...) for s in sol])
end
6 changes: 3 additions & 3 deletions src/solutions/solution_interface.jl
Original file line number Diff line number Diff line change
Expand Up @@ -78,9 +78,9 @@ Base.@propagate_inbounds function Base.getindex(A::AbstractTimeseriesSolution, s
if has_sys(A.prob.f) && all(Base.Fix1(is_param_sym, A.prob.f.sys), sym) ||
!has_sys(A.prob.f) && has_paramsyms(A.prob.f) &&
all(in(getparamsyms(A)), Symbol.(sym))
return getindex.((A,), sym)
return VectorOfArray(getindex.((A,), sym))
else
return [getindex.((A,), sym, i) for i in eachindex(A)]
return VectorOfArray([getindex.((A,), sym, i) for i in eachindex(A)])
end
else
i = sym
Expand Down Expand Up @@ -110,7 +110,7 @@ Base.@propagate_inbounds function Base.getindex(A::AbstractTimeseriesSolution, s
observed(A, sym, :)
end
elseif i isa Base.Integer || i isa AbstractRange || i isa AbstractVector{<:Base.Integer}
A[i, :]
VectorOfArray(A[i, :])
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how do you know this is a vector of arrays?

else
error("Invalid indexing of solution")
end
Expand Down
26 changes: 17 additions & 9 deletions test/downstream/ensemble_multi_prob.jl
Original file line number Diff line number Diff line change
@@ -1,19 +1,27 @@
using ModelingToolkit, OrdinaryDiffEq, Test

@variables t, x(t)
@variables t, x(t), y(t)
D = Differential(t)

@named sys1 = ODESystem([D(x) ~ 1.1*x])
@named sys2 = ODESystem([D(x) ~ 1.2*x])
@named sys1 = ODESystem([D(x) ~ x,
D(y) ~ -y])
@named sys2 = ODESystem([D(x) ~ 2x,
D(y) ~ -2y])
@named sys3 = ODESystem([D(x) ~ 3x,
D(y) ~ -3y])

prob1 = ODEProblem(sys1, [2.0], (0.0, 1.0))
prob2 = ODEProblem(sys2, [1.0], (0.0, 1.0))
prob1 = ODEProblem(sys1, [1.0, 1.0], (0.0, 1.0))
prob2 = ODEProblem(sys2, [2.0, 2.0], (0.0, 1.0))
prob3 = ODEProblem(sys3, [3.0, 3.0], (0.0, 1.0))

# test that when passing a vector of problems, trajectories and the prob_func are chosen appropriately
ensemble_prob = EnsembleProblem([prob1, prob2])
ensemble_prob = EnsembleProblem([prob1, prob2, prob3])
sol = solve(ensemble_prob, Tsit5(), EnsembleThreads())
@test isapprox(sol[:, x], [2,1] .* map(Base.Fix1(map, exp), [1.1, 1.2] .* sol[:, t]), rtol=1e-4)
for i in 1:3
@test sol[x, :][i] == sol[i][x]
@test sol[y, :][i] == sol[i][y]
end
# Ensemble is a recursive array
@test sol(0.0, idxs=[x]) == sol[:, 1] == first.(sol[:, x], 1)
@test Matrix(sol(0.0, idxs=[x])) == sol[1:1, 1, :] == Matrix(first(eachrow(sol[x, :]))')
# TODO: fix the interpolation
@test sol(1.0, idxs=[x]) ≈ last.(sol[:, x], 1)
@test vec(sol(1.0, idxs=[x])) ≈ last.(sol[x, :].u)