ODE solve crashes on initialization with no method matching state_values(::ODEFunction{…})

[hersle]

Not sure if this is the right place to report this:

using ModelingToolkit, OrdinaryDiffEq
using ModelingToolkit: t_nounits as t, D_nounits as D
@variables x(t)
@named sys = ODESystem([D(x) ~ 0.0], t; initialization_eqs = [x^2 ~ 1.0], guesses = [x => +1.0])
sys = structural_simplify(sys)
prob = ODEProblem(sys, [], (0.0, 1.0), [])
sol = solve(prob, Tsit5())

crashes with

ERROR: MethodError: no method matching state_values(::ODEFunction{…})
The function `state_values` exists, but no method is defined for this combination of argument types.

Closest candidates are:
  state_values(::Any, ::Colon)
   @ SymbolicIndexingInterface ~/.julia/packages/SymbolicIndexingInterface/cNLX3/src/value_provider_interface.jl:105
  state_values(::Any, ::Any)
   @ SymbolicIndexingInterface ~/.julia/packages/SymbolicIndexingInterface/cNLX3/src/value_provider_interface.jl:104
  state_values(::SciMLBase.AbstractNoTimeSolution)
   @ SciMLBase ~/.julia/packages/SciMLBase/NtgCQ/src/solutions/solution_interface.jl:60
  ...

Stacktrace:
  [1] get_initial_values(prob::ODEProblem{…}, valp::Function, f::OrdinaryDiffEqCore.ODEIntegrator{…}, alg::SciMLBase.OverrideInit{…}, iip::Val{…}; nlsolve_alg::NonlinearSolve.NonlinearSolvePolyAlgorithm{…}, abstol::Float64, reltol::Float64, kwargs::@Kwargs{})
    @ SciMLBase ~/.julia/packages/SciMLBase/NtgCQ/src/initialization.jl:176
  [2] _initialize_dae!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, prob::ODEProblem{…}, alg::SciMLBase.OverrideInit{…}, isinplace::Val{…})
    @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/initialize_dae.jl:159
  [3] _initialize_dae!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, prob::ODEProblem{…}, alg::OrdinaryDiffEqCore.DefaultInit, x::Val{…})
    @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/initialize_dae.jl:50
  [4] initialize_dae!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, initializealg::OrdinaryDiffEqCore.DefaultInit)
    @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/initialize_dae.jl:40
  [5] __init(prob::ODEProblem{…}, alg::Tsit5{…}, timeseries_init::Tuple{}, ts_init::Tuple{}, ks_init::Tuple{}, recompile::Type{…}; saveat::Tuple{}, tstops::Tuple{}, d_discontinuities::Tuple{}, save_idxs::Nothing, save_everystep::Bool, save_on::Bool, save_start::Bool, save_end::Nothing, callback::Nothing, dense::Bool, calck::Bool, dt::Float64, dtmin::Float64, dtmax::Float64, force_dtmin::Bool, adaptive::Bool, gamma::Rational{…}, abstol::Nothing, reltol::Nothing, qmin::Rational{…}, qmax::Int64, qsteady_min::Int64, qsteady_max::Int64, beta1::Nothing, beta2::Nothing, qoldinit::Rational{…}, controller::Nothing, fullnormalize::Bool, failfactor::Int64, maxiters::Int64, internalnorm::typeof(DiffEqBase.ODE_DEFAULT_NORM), internalopnorm::typeof(LinearAlgebra.opnorm), isoutofdomain::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), unstable_check::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), verbose::Bool, timeseries_errors::Bool, dense_errors::Bool, advance_to_tstop::Bool, stop_at_next_tstop::Bool, initialize_save::Bool, progress::Bool, progress_steps::Int64, progress_name::String, progress_message::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), progress_id::Symbol, userdata::Nothing, allow_extrapolation::Bool, initialize_integrator::Bool, alias_u0::Bool, alias_du0::Bool, initializealg::OrdinaryDiffEqCore.DefaultInit, kwargs::@Kwargs{})
    @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/solve.jl:514
  [6] __init (repeats 5 times)
    @ ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/solve.jl:11 [inlined]
  [7] #__solve#62
    @ ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/solve.jl:6 [inlined]
  [8] __solve
    @ ~/.julia/packages/OrdinaryDiffEqCore/Y1AEy/src/solve.jl:1 [inlined]
  [9] #solve_call#44
    @ ~/.julia/packages/DiffEqBase/HW4ge/src/solve.jl:632 [inlined]
 [10] solve_call
    @ ~/.julia/packages/DiffEqBase/HW4ge/src/solve.jl:589 [inlined]
 [11] #solve_up#53
    @ ~/.julia/packages/DiffEqBase/HW4ge/src/solve.jl:1120 [inlined]
 [12] solve_up
    @ ~/.julia/packages/DiffEqBase/HW4ge/src/solve.jl:1099 [inlined]
 [13] #solve#51
    @ ~/.julia/packages/DiffEqBase/HW4ge/src/solve.jl:1036 [inlined]
 [14] solve(prob::ODEProblem{…}, args::Tsit5{…})
    @ DiffEqBase ~/.julia/packages/DiffEqBase/HW4ge/src/solve.jl:1026
 [15] top-level scope
    @ REPL[7]:1
Some type information was truncated. Use `show(err)` to see complete types.

on ] status -m

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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

[hersle]

Just found SciML/OrdinaryDiffEq.jl#2541. Looks like that will fix this?

[AayushSabharwal]

That and #866

[hersle]

Thank you!