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Tiny fix of Coevolve() with the dependency graph check #282

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Jan 5, 2023
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2 changes: 1 addition & 1 deletion src/aggregators/coevolve.jl
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ function CoevolveJumpAggregation(nj::Int, njt::T, et::T, crs::Vector{T}, sr::Not
rng::RNG; u::U, dep_graph = nothing, lrates, urates,
rateintervals, haslratevec) where {T, S, F1, F2, RNG, U}
if dep_graph === nothing
if (get_num_majumps(maj) == 0) || !isempty(rs)
if (get_num_majumps(maj) == 0) || !isempty(urates)
error("To use Coevolve a dependency graph between jumps must be supplied.")
else
dg = make_dependency_graph(length(u), maj)
Expand Down
29 changes: 29 additions & 0 deletions test/variable_rate.jl
Original file line number Diff line number Diff line change
Expand Up @@ -144,3 +144,32 @@ x₀ = 1.0 + 0.0im
prob = ODEProblem(f4, [x₀], Δt)
jumpProblem = JumpProblem(prob, Direct(), jump)
sol = solve(jumpProblem, Tsit5())

# test to check lack of dependency graphs is caught in Coevolve for systems with non-maj
# jumps
let
maj_rate = [1.0]
react_stoich_ = [Vector{Pair{Int, Int}}()]
net_stoich_ = [[1 => 1]]
mass_action_jump_ = MassActionJump(maj_rate, react_stoich_, net_stoich_;
scale_rates = false)

affect! = function (integrator)
integrator.u[1] -= 1
end
cs_rate1(u, p, t) = 0.2 * u[1]
constant_rate_jump = ConstantRateJump(cs_rate1, affect!)
jumpset_ = JumpSet((), (constant_rate_jump,), nothing, mass_action_jump_)

u0 = [0]
tspan = (0.0, 30.0)
dprob_ = DiscreteProblem(u0, tspan)
alg = Coevolve()
@test_throws ErrorException JumpProblem(dprob_, alg, jumpset_,
save_positions = (false, false))

vrj = VariableRateJump(cs_rate1, affect!; urate = ((u, p, t) -> 1.0),
rateinterval = ((u, p, t) -> 1.0))
@test_throws ErrorException JumpProblem(dprob_, alg, mass_action_jump_, vrj;
save_positions = (false, false))
end