Fekete Problem DAE Work-Precision Diagrams

This is a benchmark of the Fekete problem, an index-3 DAE describing $N=20$ charged particles on the unit sphere, from the IVP Test Set.

The problem computes elliptic Fekete points: $N=20$ particles on the unit sphere $S^2$ that maximize the product of mutual distances $V(x) = \prod_{i<j} \|x_i - x_j\|_2$. By mechanical analogy, the particles are subject to a repulsive Coulomb-like force and an adhesion damping force $A_i = -\alpha q_i$ ($\alpha = 0.5$). The particles are constrained to the unit sphere via Lagrange multipliers $\lambda_i$.

The original index-3 system has the physics: $\ddot{p}_i = -\alpha \dot{p}_i + 2\lambda_i p_i + \sum_{j \neq i} \frac{p_i - p_j}{\|p_i - p_j\|^2}$$0 = \|p_i\|^2 - 1$

The stabilized index-2 formulation (from the Fortran test set) introduces velocity variables $q_i = \dot{p}_i$ and Baumgarte stabilization multipliers $\mu_i$, giving 160 = 8N state variables with mass matrix $M = \text{diag}(I_{6N}, 0_{2N})$: $\dot{p}_i = q_i + 2\mu_i p_i, \quad \dot{q}_i = -\alpha q_i + 2\lambda_i p_i + \sum_{j\neq i}\frac{p_i - p_j}{\|p_i - p_j\|^2}$$0 = \|p_i\|^2 - 1, \quad 0 = 2p_i \cdot q_i$

We benchmark three formulations:

1. Mass-Matrix ODE Form: The stabilized index-2 system as M·du/dt = f(u, t), solved with Rosenbrock-W and BDF methods.
2. DAE Residual Form: Same system as F(du, u, t) = M·du − f(u, t) = 0, solved with IDA and DASKR.
3. MTK Automatic Index Reduction: The original index-3 system is given directly to ModelingToolkit, which uses structural_simplify to automatically perform index reduction and generate an index-1 DAE. This benchmarks MTK's symbolic transformation pipeline on a large-scale constrained mechanical system.

Reference: Bendtsen, C., Thomsen, P.G.: Numerical solution of differential algebraic equations. IMM-DTU, Tech. Report (1999). Available at the IVP Test Set.

using OrdinaryDiffEq, DiffEqDevTools, Sundials, ModelingToolkit,
      ODEInterfaceDiffEq, Plots, DASKR
using ModelingToolkit: t_nounits as t, D_nounits as D
using LinearAlgebra, Statistics

Problem Definition

We translate the Fortran reference implementation (fekete.f) into Julia. The problem has $N = 20$ particles with $8N = 160$ state variables.

Initial Conditions

The initial positions place the 20 particles in four latitude rings on the sphere (3 + 7 + 6 + 4 particles), with initial velocities $q(0) = 0$ and multipliers $\mu(0)$ computed for consistency.

const N_ART = 20
const NEQN = 8 * N_ART  # 160
const ALPHA_DAMP = 0.5

function fekete_init()
    y = zeros(NEQN)

    # Ring 1: 3 particles at beta = 3π/8
    for i in 1:3
        α = 2π * i / 3 + π / 13
        β = 3π / 8
        y[3*(i-1)+1] = cos(α) * cos(β)
        y[3*(i-1)+2] = sin(α) * cos(β)
        y[3*(i-1)+3] = sin(β)
    end
    # Ring 2: 7 particles at beta = π/8
    for i in 4:10
        α = 2π * (i - 3) / 7 + π / 29
        β = π / 8
        y[3*(i-1)+1] = cos(α) * cos(β)
        y[3*(i-1)+2] = sin(α) * cos(β)
        y[3*(i-1)+3] = sin(β)
    end
    # Ring 3: 6 particles at beta = -2π/15
    for i in 11:16
        α = 2π * (i - 10) / 6 + π / 7
        β = -2π / 15
        y[3*(i-1)+1] = cos(α) * cos(β)
        y[3*(i-1)+2] = sin(α) * cos(β)
        y[3*(i-1)+3] = sin(β)
    end
    # Ring 4: 4 particles at beta = -3π/10
    for i in 17:20
        α = 2π * (i - 17) / 4 + π / 17
        β = -3π / 10
        y[3*(i-1)+1] = cos(α) * cos(β)
        y[3*(i-1)+2] = sin(α) * cos(β)
        y[3*(i-1)+3] = sin(β)
    end

    # q(0) = 0  (indices 3N+1 : 6N already zero)
    # μ(0) = 0  initially, then compute consistent values

    # Compute consistent μ via one feval pass (from Fortran init)
    yprime = similar(y)
    fekete_rhs!(yprime, y, nothing, 0.0)
    for i in 1:N_ART
        s = 0.0
        for j in 1:3
            s += y[3*(i-1)+j] * yprime[3*N_ART + 3*(i-1)+j]
        end
        y[6*N_ART+i] = -s / 2.0
    end

    return y
end

fekete_init (generic function with 1 method)

Right-Hand Side

The RHS encodes the equations of motion: repulsive Coulomb forces between particles on the sphere, damping, and the algebraic constraints.

function fekete_rhs!(dy, y, p, t)
    nart = N_ART
    T = eltype(dy)

    # Unpack state: positions p, velocities q, multipliers λ, μ
    # p_i = y[3(i-1)+1 : 3(i-1)+3],  i = 1..N
    # q_i = y[3N+3(i-1)+1 : 3N+3(i-1)+3]
    # λ_i = y[6N+i]
    # μ_i = y[7N+i]

    # Compute pairwise repulsive forces f(i,j,k) = (p_i - p_j) / |p_i - p_j|²
    # and accumulate into velocity derivatives

    @inbounds for i in 1:nart
        lam_i = y[6*nart+i]
        mu_i  = y[7*nart+i]

        # dp_i/dt = q_i + 2*μ_i*p_i
        for k in 1:3
            pk = y[3*(i-1)+k]
            qk = y[3*nart+3*(i-1)+k]
            dy[3*(i-1)+k] = qk + 2*mu_i*pk
        end

        # dq_i/dt = -α*q_i + 2*λ_i*p_i + Σ_{j≠i} (p_i - p_j)/|p_i - p_j|²
        for k in 1:3
            pk = y[3*(i-1)+k]
            qk = y[3*nart+3*(i-1)+k]
            force_k = -ALPHA_DAMP * qk + 2*lam_i * pk
            for j in 1:nart
                if j != i
                    rn = zero(T)
                    for m in 1:3
                        rn += (y[3*(i-1)+m] - y[3*(j-1)+m])^2
                    end
                    force_k += (pk - y[3*(j-1)+k]) / rn
                end
            end
            dy[3*nart+3*(i-1)+k] = force_k
        end

        # Algebraic equations
        # φ_i = |p_i|² - 1 = 0  (sphere constraint)
        phi_i = -one(T)
        for k in 1:3
            phi_i += y[3*(i-1)+k]^2
        end
        dy[6*nart+i] = phi_i

        # g_i = 2*p_i·q_i = 0  (differentiated constraint)
        gpq_i = zero(T)
        for k in 1:3
            gpq_i += 2*y[3*(i-1)+k] * y[3*nart+3*(i-1)+k]
        end
        dy[7*nart+i] = gpq_i
    end
    nothing
end

fekete_rhs! (generic function with 1 method)

Analytical Jacobian

The Jacobian is dense due to the pairwise Coulomb interactions. We provide the analytical Jacobian translated from the Fortran jeval subroutine.

function fekete_jac!(J, y, p, t)
    nart = N_ART
    neqn = NEQN
    T = eltype(J)
    fill!(J, zero(T))

    # Extract state
    pp = zeros(T, nart, 3)
    qq = zeros(T, nart, 3)
    lam = zeros(T, nart)
    mu  = zeros(T, nart)
    for i in 1:nart
        for k in 1:3
            pp[i,k] = y[3*(i-1)+k]
            qq[i,k] = y[3*nart+3*(i-1)+k]
        end
        lam[i] = y[6*nart+i]
        mu[i]  = y[7*nart+i]
    end

    # Precompute |p_i - p_j|²
    rn = zeros(T, nart, nart)
    for j in 1:nart, i in 1:nart
        for k in 1:3
            rn[i,j] += (pp[i,k] - pp[j,k])^2
        end
    end

    # J_pp: ∂(dp_i/dt)/∂p_i = 2μ_i * I₃
    for i in 1:nart, k in 1:3
        J[3*(i-1)+k, 3*(i-1)+k] = 2*mu[i]
    end

    # J_pq: ∂(dp_i/dt)/∂q_i = I₃
    for i in 1:nart, k in 1:3
        J[3*(i-1)+k, 3*nart+3*(i-1)+k] = one(T)
    end

    # J_pμ: ∂(dp_i/dt)/∂μ_i = 2p_i
    for i in 1:nart, k in 1:3
        J[3*(i-1)+k, 7*nart+i] = 2*pp[i,k]
    end

    # J_qp (same i, same k): diagonal + force derivatives
    for i in 1:nart, k in 1:3
        val = 2*lam[i]
        for j in 1:nart
            if j != i
                val += (rn[i,j] - 2*(pp[i,k] - pp[j,k])^2) / rn[i,j]^2
            end
        end
        J[3*nart+3*(i-1)+k, 3*(i-1)+k] = val
    end

    # J_qp (same i, different k,m): off-diagonal spatial components
    for i in 1:nart, k in 1:3, m in 1:3
        if m != k
            val = zero(T)
            for j in 1:nart
                if j != i
                    val -= 2*(pp[i,k] - pp[j,k])*(pp[i,m] - pp[j,m]) / rn[i,j]^2
                end
            end
            J[3*nart+3*(i-1)+k, 3*(i-1)+m] += val
        end
    end

    # J_qp (different i,l, same k): inter-particle force derivatives
    for i in 1:nart, l in 1:nart
        if l != i
            for k in 1:3
                J[3*nart+3*(i-1)+k, 3*(l-1)+k] =
                    (-rn[i,l] + 2*(pp[i,k] - pp[l,k])^2) / rn[i,l]^2
            end
        end
    end

    # J_qp (different i,l, different k,m): cross terms
    for i in 1:nart, l in 1:nart
        if l != i
            for k in 1:3, m in 1:3
                if m != k
                    J[3*nart+3*(i-1)+k, 3*(l-1)+m] +=
                        2*(pp[i,k] - pp[l,k])*(pp[i,m] - pp[l,m]) / rn[i,l]^2
                end
            end
        end
    end

    # J_qq: ∂(dq_i/dt)/∂q_i = -α I₃
    for i in 1:nart, k in 1:3
        J[3*nart+3*(i-1)+k, 3*nart+3*(i-1)+k] = -ALPHA_DAMP
    end

    # J_qλ: ∂(dq_i/dt)/∂λ_i = 2p_i
    for i in 1:nart, k in 1:3
        J[3*nart+3*(i-1)+k, 6*nart+i] = 2*pp[i,k]
    end

    # J_λp: ∂φ_i/∂p_i = 2p_i
    for i in 1:nart, k in 1:3
        J[6*nart+i, 3*(i-1)+k] = 2*pp[i,k]
    end

    # J_μp: ∂g_i/∂p_i = 2q_i
    for i in 1:nart, k in 1:3
        J[7*nart+i, 3*(i-1)+k] = 2*qq[i,k]
    end

    # J_μq: ∂g_i/∂q_i = 2p_i
    for i in 1:nart, k in 1:3
        J[7*nart+i, 3*nart+3*(i-1)+k] = 2*pp[i,k]
    end

    nothing
end

fekete_jac! (generic function with 1 method)

Mass-Matrix ODE Formulation

y0 = fekete_init()

# Mass matrix: M = diag(I_{6N}, 0_{2N})
M = zeros(NEQN, NEQN)
for i in 1:6*N_ART
    M[i,i] = 1.0
end

mmf = ODEFunction(fekete_rhs!, mass_matrix = M, jac = fekete_jac!)
tspan = (0.0, 1000.0)
mmprob = ODEProblem(mmf, y0, tspan)

ODEProblem with uType Vector{Float64} and tType Float64. In-place: true
Non-trivial mass matrix: true
timespan: (0.0, 1000.0)
u0: 160-element Vector{Float64}:
 -0.2650941332839412
  0.2759922279796341
  0.9238795325112867
 -0.10646921403545888
 -0.367574367807928
  0.9238795325112867
  0.37156334731940005
  0.09158213982829398
  0.9238795325112867
  0.4945564328017459
  ⋮
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0

DAE Residual Formulation

function fekete_dae!(res, du, u, p, t)
    f = similar(u)
    fekete_rhs!(f, u, p, t)
    # Residual: M*du - f(u) = 0
    for i in 1:6*N_ART
        res[i] = du[i] - f[i]
    end
    for i in 6*N_ART+1:NEQN
        res[i] = -f[i]  # algebraic: 0 = f_alg(u)
    end
    nothing
end

du0 = zeros(NEQN)
fekete_rhs!(du0, y0, nothing, 0.0)
# For differential variables, du0 = f(y0); for algebraic, du0 = 0
du0_dae = copy(du0)
du0_dae[6*N_ART+1:end] .= 0.0

differential_vars = vcat(trues(6*N_ART), falses(2*N_ART))
daeprob = DAEProblem(fekete_dae!, du0_dae, y0, tspan,
                     differential_vars = differential_vars)

DAEProblem with uType Vector{Float64} and tType Float64. In-place: true
timespan: (0.0, 1000.0)
u0: 160-element Vector{Float64}:
 -0.2650941332839412
  0.2759922279796341
  0.9238795325112867
 -0.10646921403545888
 -0.367574367807928
  0.9238795325112867
  0.37156334731940005
  0.09158213982829398
  0.9238795325112867
  0.4945564328017459
  ⋮
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
  0.0
du0: 160-element Vector{Float64}:
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 ⋮
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0

MTK Automatic Index Reduction

We give ModelingToolkit the original index-3 system directly and let structural_simplify automatically perform index reduction. This benchmarks MTK's symbolic transformation pipeline — no manual constraint differentiation or variable elimination is performed.

ps_mtk = Vector{Num}(undef, 3*N_ART)
qs_mtk = Vector{Num}(undef, 3*N_ART)
λs_mtk = Vector{Num}(undef, N_ART)

for i in 1:N_ART
    for k in 1:3
        idx = 3*(i-1) + k
        ps_mtk[idx] = only(@variables $(Symbol("p$(i)_$(k)"))(t) = y0[idx])
        qs_mtk[idx] = only(@variables $(Symbol("q$(i)_$(k)"))(t) = 0.0)
    end
    λs_mtk[i] = only(@variables $(Symbol("lam$(i)"))(t) = 0.0)
end

eqs_mtk = Equation[]

# Kinematics: dp/dt = q  (60 equations)
for idx in 1:3*N_ART
    push!(eqs_mtk, D(ps_mtk[idx]) ~ qs_mtk[idx])
end

# Dynamics: dq/dt = -αq + 2λp + Coulomb  (60 equations)
for i in 1:N_ART
    for k in 1:3
        idx = 3*(i-1) + k
        coulomb = sum(
            (ps_mtk[idx] - ps_mtk[3*(j-1)+k]) /
            sum((ps_mtk[3*(i-1)+m] - ps_mtk[3*(j-1)+m])^2 for m in 1:3)
            for j in 1:N_ART if j != i
        )
        push!(eqs_mtk, D(qs_mtk[idx]) ~ -ALPHA_DAMP*qs_mtk[idx] +
              2*λs_mtk[i]*ps_mtk[idx] + coulomb)
    end
end

# Position-level constraint: |p_i|² = 1  (20 index-3 constraints)
for i in 1:N_ART
    push!(eqs_mtk, sum(ps_mtk[3*(i-1)+k]^2 for k in 1:3) ~ 1)
end

# Explicit automatic index reduction
@named sys_raw = ODESystem(eqs_mtk, t)
sys_mtk = structural_simplify(sys_raw)

mtkprob = ODEProblem(sys_mtk, [], tspan)
println("MTK automatic reduction → $(length(unknowns(sys_mtk))) states")

MTK automatic reduction → 160 states

Reference Solution

The Fortran test set provides a high-accuracy reference solution at $t = 1000$, computed with RADAU5 at rtol = atol = 1e-12. We use this as our ground truth and also compute a high-accuracy Julia reference for timeseries comparison.

# Reference values from Fortran solut() subroutine (RADAU5, tol=1e-12)
const REFSOL = zeros(NEQN)
REFSOL[  1] =  -0.4070263380333202
REFSOL[  2] =   0.3463758772791802
REFSOL[  3] =   0.8451942450030429
REFSOL[  4] =   0.7752934752521549e-01
REFSOL[  5] =  -0.2628662719972299
REFSOL[  6] =   0.9617122871829146
REFSOL[  7] =   0.7100577833343567
REFSOL[  8] =   0.1212948055586120
REFSOL[  9] =   0.6936177005172217
REFSOL[ 10] =   0.2348267744557627
REFSOL[ 11] =   0.7449277976923311
REFSOL[ 12] =   0.6244509285956391
REFSOL[ 13] =  -0.4341114738782885
REFSOL[ 14] =   0.8785430442262876
REFSOL[ 15] =   0.1992720444237660
REFSOL[ 16] =  -0.9515059600312596
REFSOL[ 17] =   0.2203508762787005
REFSOL[ 18] =   0.2146669498274008
REFSOL[ 19] =  -0.6385191643609878
REFSOL[ 20] =  -0.4310833259390688
REFSOL[ 21] =   0.6375425027722121
REFSOL[ 22] =  -0.1464175087914336
REFSOL[ 23] =  -0.9380871635228862
REFSOL[ 24] =   0.3139337298744690
REFSOL[ 25] =   0.5666974065069942
REFSOL[ 26] =  -0.6739221885076542
REFSOL[ 27] =   0.4740073135462156
REFSOL[ 28] =   0.9843259538440293
REFSOL[ 29] =  -0.1696995357819996
REFSOL[ 30] =  -0.4800504290609090e-01
REFSOL[ 31] =   0.1464175087914331
REFSOL[ 32] =   0.9380871635228875
REFSOL[ 33] =  -0.3139337298744656
REFSOL[ 34] =  -0.7092757549979014
REFSOL[ 35] =   0.5264062637139616
REFSOL[ 36] =  -0.4688542938854929
REFSOL[ 37] =  -0.8665731819284478
REFSOL[ 38] =  -0.4813878059756024
REFSOL[ 39] =  -0.1315929352982178
REFSOL[ 40] =  -0.2347897778700538
REFSOL[ 41] =  -0.8594340408013130
REFSOL[ 42] =  -0.4541441287957579
REFSOL[ 43] =   0.5530976940074118
REFSOL[ 44] =  -0.7674370265615124
REFSOL[ 45] =  -0.3242273140037833
REFSOL[ 46] =   0.7711050969896927
REFSOL[ 47] =   0.6357041816577034
REFSOL[ 48] =   0.3573685519777001e-01
REFSOL[ 49] =   0.7103951209379591
REFSOL[ 50] =   0.2403570431280519
REFSOL[ 51] =  -0.6614886725910596
REFSOL[ 52] =  -0.3038208738735660e-01
REFSOL[ 53] =   0.4501923293640461
REFSOL[ 54] =  -0.8924145871442046
REFSOL[ 55] =  -0.5772996158107093
REFSOL[ 56] =  -0.1766763414971813
REFSOL[ 57] =  -0.7971892020969544
REFSOL[ 58] =   0.2414481766969039
REFSOL[ 59] =  -0.3416456818373135
REFSOL[ 60] =  -0.9082846503446250
# Velocities q at t=1000 (near-zero at stationary state)
REFSOL[ 61] =   0.2409619682166627e-15
REFSOL[ 62] =  -0.1139818460497816e-15
REFSOL[ 63] =   0.1627536276556335e-15
REFSOL[ 64] =   0.1745651819597609e-15
REFSOL[ 65] =  -0.1914278710633076e-15
REFSOL[ 66] =  -0.6639600671806291e-16
REFSOL[ 67] =   0.1708576733899083e-15
REFSOL[ 68] =  -0.2277602521390053e-15
REFSOL[ 69] =  -0.1350782790950654e-15
REFSOL[ 70] =   0.2411941341109454e-15
REFSOL[ 71] =  -0.1438238671800488e-15
REFSOL[ 72] =   0.8087033550666644e-16
REFSOL[ 73] =   0.1618239105233347e-15
REFSOL[ 74] =   0.1837556152070701e-16
REFSOL[ 75] =   0.2715177369929503e-15
REFSOL[ 76] =   0.7930078658689191e-16
REFSOL[ 77] =   0.7482020588342764e-16
REFSOL[ 78] =   0.2746974939098084e-15
REFSOL[ 79] =   0.8849338913035911e-16
REFSOL[ 80] =  -0.5940734725324115e-16
REFSOL[ 81] =   0.4845984056889910e-16
REFSOL[ 82] =  -0.3728835248155620e-16
REFSOL[ 83] =  -0.4600332954062859e-16
REFSOL[ 84] =  -0.1548568884846698e-15
REFSOL[ 85] =   0.2507541692375411e-16
REFSOL[ 86] =  -0.1560155223230823e-15
REFSOL[ 87] =  -0.2517946296860555e-15
REFSOL[ 88] =  -0.3739779361502470e-16
REFSOL[ 89] =  -0.1381663620885020e-15
REFSOL[ 90] =  -0.2784051540342329e-15
REFSOL[ 91] =   0.6624397102887671e-16
REFSOL[ 92] =   0.4226207488883120e-16
REFSOL[ 93] =   0.1571821772296610e-15
REFSOL[ 94] =  -0.4112243677286995e-16
REFSOL[ 95] =   0.1939960344265876e-15
REFSOL[ 96] =   0.2800184977692136e-15
REFSOL[ 97] =  -0.9189023375328813e-16
REFSOL[ 98] =   0.1392943179389155e-15
REFSOL[ 99] =   0.9556003995587458e-16
REFSOL[100] =  -0.2234188557495892e-15
REFSOL[101] =   0.1276804778190781e-15
REFSOL[102] =  -0.1261196211463950e-15
REFSOL[103] =  -0.1887754149742397e-15
REFSOL[104] =  -0.2140788698695373e-16
REFSOL[105] =  -0.2713591291421657e-15
REFSOL[106] =   0.1107887633060814e-15
REFSOL[107] =  -0.1318443715631340e-15
REFSOL[108] =  -0.4521275683078691e-16
REFSOL[109] =  -0.1277688851278605e-15
REFSOL[110] =   0.4850914012115388e-16
REFSOL[111] =  -0.1195891666741192e-15
REFSOL[112] =  -0.1569641653843750e-15
REFSOL[113] =   0.1856239009452638e-15
REFSOL[114] =   0.9898466095646496e-16
REFSOL[115] =  -0.2068030800303723e-15
REFSOL[116] =   0.2451470336752085e-15
REFSOL[117] =   0.9542986459336358e-16
REFSOL[118] =  -0.2456074075580993e-15
REFSOL[119] =   0.1532475480661800e-15
REFSOL[120] =  -0.1229326332276474e-15
# λ multipliers at t=1000
REFSOL[121] =  -0.4750000000000000e+01
REFSOL[122] =  -0.4750000000000001e+01
REFSOL[123] =  -0.4750000000000000e+01
REFSOL[124] =  -0.4750000000000000e+01
REFSOL[125] =  -0.4750000000000000e+01
REFSOL[126] =  -0.4750000000000000e+01
REFSOL[127] =  -0.4750000000000000e+01
REFSOL[128] =  -0.4750000000000000e+01
REFSOL[129] =  -0.4750000000000000e+01
REFSOL[130] =  -0.4750000000000000e+01
REFSOL[131] =  -0.4750000000000001e+01
REFSOL[132] =  -0.4750000000000001e+01
REFSOL[133] =  -0.4750000000000000e+01
REFSOL[134] =  -0.4750000000000000e+01
REFSOL[135] =  -0.4750000000000000e+01
REFSOL[136] =  -0.4750000000000000e+01
REFSOL[137] =  -0.4749999999999999e+01
REFSOL[138] =  -0.4750000000000000e+01
REFSOL[139] =  -0.4750000000000000e+01
REFSOL[140] =  -0.4750000000000000e+01
# μ multipliers at t=1000 (near-zero)
REFSOL[141] =  -0.3537526598492654e-19
REFSOL[142] =   0.2338193888161182e-18
REFSOL[143] =  -0.3267771993164953e-18
REFSOL[144] =   0.2915679914072042e-18
REFSOL[145] =   0.1965183195887647e-18
REFSOL[146] =  -0.6224992924096233e-19
REFSOL[147] =  -0.1715878416756298e-18
REFSOL[148] =  -0.2704741705248803e-18
REFSOL[149] =   0.3008700893194513e-18
REFSOL[150] =  -0.2703121624910402e-18
REFSOL[151] =   0.4243755291982164e-18
REFSOL[152] =   0.2862063003949612e-18
REFSOL[153] =   0.1222125408406218e-19
REFSOL[154] =  -0.4958862706817728e-18
REFSOL[155] =  -0.7070673036251212e-18
REFSOL[156] =  -0.4454983024194383e-18
REFSOL[157] =  -0.1125384872521777e-18
REFSOL[158] =   0.1512898724592511e-18
REFSOL[159] =  -0.6163704221424137e-19
REFSOL[160] =   0.6255426995473074e-19

6.255426995473074e-20

# Compute high-accuracy reference solutions
println("Computing mass-matrix reference solution with Rodas5P...")
ref_sol = solve(mmprob, Rodas5P(), reltol = 1e-8, abstol = 1e-8,
                maxiters = 10_000_000)
println("  retcode = $(ref_sol.retcode), npoints = $(length(ref_sol.t)), ",
        "t_final = $(ref_sol.t[end])")

println("Computing MTK reference solution with Rodas5P...")
mtk_ref = solve(mtkprob, Rodas5P(), reltol = 1e-8, abstol = 1e-8,
                maxiters = 10_000_000)
println("  retcode = $(mtk_ref.retcode), npoints = $(length(mtk_ref.t))")

# We use separate references: the canonical mass-matrix reference for
# mass-matrix and DAE forms, and an MTK reference for the MTK form
# (structural_simplify may change the state layout).

Computing mass-matrix reference solution with Rodas5P...
  retcode = Success, npoints = 9597, t_final = 1000.0
Computing MTK reference solution with Rodas5P...
  retcode = InitialFailure, npoints = 1

Verification against Fortran Reference

We compare our solution at $t = 1000$ with the Fortran RADAU5 reference to verify correctness. The first 6 position components (output components from the test set) are checked.

sol_final = ref_sol.u[end]
println("=== Verification at t = 1000 ===")
println("Component | Fortran Reference     | Julia Solution        | Rel Error")
println("-"^75)
for idx in 1:6
    ref_val = REFSOL[idx]
    our_val = sol_final[idx]
    relerr = abs(ref_val) > 0 ? abs((our_val - ref_val) / ref_val) : abs(our_val)
    status = relerr < 1e-3 ? "✓" : (relerr < 1e-1 ? "~" : "✗")
    println("y($(lpad(idx,3))) | $(lpad(string(ref_val), 22)) | $(lpad(string(round(our_val, sigdigits=12)), 22)) | $(relerr) $status")
end

# Check λ multipliers (should all be ≈ -4.75)
lam_vals = sol_final[6*N_ART+1:7*N_ART]
println("\nλ multipliers: mean = $(round(mean(lam_vals), sigdigits=6)), ",
        "std = $(round(std(lam_vals), sigdigits=3))")

# Check sphere constraints: |p_i|² should equal 1
max_constraint = 0.0
for i in 1:N_ART
    c = sum(sol_final[3*(i-1)+k]^2 for k in 1:3) - 1.0
    global max_constraint = max(max_constraint, abs(c))
end
println("Max sphere constraint violation: $(max_constraint)")

=== Verification at t = 1000 ===
Component | Fortran Reference     | Julia Solution        | Rel Error
---------------------------------------------------------------------------
y(  1) |    -0.4070263380333202 |        -0.407026338034 | 1.43201319783019
1e-12 ✓
y(  2) |     0.3463758772791802 |         0.346375877283 | 9.6901270215809e
-12 ✓
y(  3) |     0.8451942450030429 |         0.845194245001 | 1.95958587972856
56e-12 ✓
y(  4) |     0.0775293475252155 |        0.0775293475243 | 1.21424952742819
7e-11 ✓
y(  5) |    -0.2628662719972299 |        -0.262866271994 | 1.36536097065157
02e-11 ✓
y(  6) |     0.9617122871829146 |         0.961712287184 | 1.09889549216051
82e-12 ✓

λ multipliers: mean = -4.75, std = 4.99e-16
Max sphere constraint violation: 2.220446049250313e-16

Solution Plots

The solution shows the 20 particles settling into a near-optimal configuration on the unit sphere. The velocities $q_i$ decay to zero due to damping, while the Lagrange multipliers converge to $\lambda_i = -4.75$.

plot(ref_sol, idxs = [1, 2, 3, 4, 5, 6],
     title = "Fekete Problem: First 6 Position Components",
     xlabel = "Time", ylabel = "Value", lw = 1.5,
     layout = (2, 3), size = (900, 500))

# Velocity components (should decay to zero)
plot(ref_sol, idxs = [61, 62, 63, 64, 65, 66],
     title = "Velocity Components (q₁)",
     xlabel = "Time", ylabel = "Value", lw = 1.5)

# Lagrange multipliers (should converge to -4.75)
plot(ref_sol, idxs = [121, 122, 123, 124, 125],
     title = "Lagrange Multipliers λ (should → -4.75)",
     xlabel = "Time", ylabel = "λ", lw = 1.5)

Problem Setup for Benchmarks

We set up the problem array and reference array for WorkPrecisionSet. The three formulations are: (1) mass-matrix ODE, (2) DAE residual, (3) MTK index-reduced.

probs = [mmprob, daeprob, mtkprob]
refs  = [ref_sol, ref_sol, mtk_ref]

3-element Vector{SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}},
 Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothin
g, P, A, IType, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing} wher
e {P, A, IType}}:
 SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothin
g, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, SciMLBase.ODE
Problem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParam
eters, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, typeof(Main.va
r"##WeaveSandBox#225".fekete_rhs!), Matrix{Float64}, Nothing, Nothing, type
of(Main.var"##WeaveSandBox#225".fekete_jac!), Nothing, Nothing, Nothing, No
thing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAUL
T_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Base.Pairs{Symbol, Union{
}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRo
senbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEq
Base.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAU
LT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivia
l_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, OrdinaryDiffEqCo
re.InterpolationData{SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, 
typeof(Main.var"##WeaveSandBox#225".fekete_rhs!), Matrix{Float64}, Nothing,
 Nothing, typeof(Main.var"##WeaveSandBox#225".fekete_jac!), Nothing, Nothin
g, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(Sc
iMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Vect
or{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, Or
dinaryDiffEqRosenbrock.RosenbrockCache{Vector{Float64}, Vector{Float64}, Fl
oat64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEqRos
enbrock.RodasTableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{true,
 SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##We
aveSandBox#225".fekete_rhs!), Matrix{Float64}, Nothing, Nothing, typeof(Mai
n.var"##WeaveSandBox#225".fekete_jac!), Nothing, Nothing, Nothing, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSE
RVED), Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.Null
Parameters}, SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, S
ciMLBase.FullSpecialize, typeof(Main.var"##WeaveSandBox#225".fekete_rhs!), 
Matrix{Float64}, Nothing, Nothing, typeof(Main.var"##WeaveSandBox#225".feke
te_jac!), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, No
thing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothi
ng, Nothing}, Float64, SciMLBase.NullParameters}, LinearSolve.LinearCache{M
atrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters,
 LinearSolve.DefaultLinearSolver, LinearSolve.DefaultLinearSolverInit{Linea
rAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, LinearAlgebra.QRCompa
ctWY{Float64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing,
 Nothing, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}
, Vector{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Fl
oat64}, Vector{Int64}}, Vector{Int64}}, Nothing, Nothing, Nothing, LinearAl
gebra.SVD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebr
a.Cholesky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matri
x{Float64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int32}
}, Base.RefValue{Int32}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, 
Vector{Int64}}, Base.RefValue{Int64}}, LinearAlgebra.QRPivoted{Float64, Mat
rix{Float64}, Vector{Float64}, Vector{Int64}}, Nothing, Nothing, Nothing, N
othing, Nothing, Matrix{Float64}, Vector{Float64}}, LinearSolve.InvPrecondi
tioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Dia
gonal{Float64, Vector{Float64}}, Float64, LinearSolve.LinearVerbosity{SciML
Logging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Sile
nt, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLog
ging.Silent, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.S
ilent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciML
Logging.Silent, SciMLLogging.Silent}, Bool, LinearSolve.LinearSolveAdjoint{
Missing}}, Tuple{Nothing, Nothing}, Tuple{DifferentiationInterfaceForwardDi
ffExt.ForwardDiffTwoArgDerivativePrep{Tuple{SciMLBase.TimeGradientWrapper{t
rue, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"
##WeaveSandBox#225".fekete_rhs!), Matrix{Float64}, Nothing, Nothing, typeof
(Main.var"##WeaveSandBox#225".fekete_jac!), Nothing, Nothing, Nothing, Noth
ing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_
OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.
NullParameters}, Vector{Float64}, ADTypes.AutoForwardDiff{nothing, ForwardD
iff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, Float64
, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag
, Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiff
EqTag, Float64}, Float64, 1}}}, Tuple{}}, DifferentiationInterfaceForwardDi
ffExt.ForwardDiffTwoArgDerivativePrep{Tuple{SciMLBase.TimeGradientWrapper{t
rue, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"
##WeaveSandBox#225".fekete_rhs!), Matrix{Float64}, Nothing, Nothing, typeof
(Main.var"##WeaveSandBox#225".fekete_jac!), Nothing, Nothing, Nothing, Noth
ing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_
OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.
NullParameters}, Vector{Float64}, ADTypes.AutoForwardDiff{nothing, ForwardD
iff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, Float64
, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag
, Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiff
EqTag, Float64}, Float64, 1}}}, Tuple{}}}, Float64, OrdinaryDiffEqRosenbroc
k.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.Or
dinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PREC
S), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limit
er!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, typeof(OrdinaryDiffEqCo
re.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, BitVect
or}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}([[-0.2650941332
839412, 0.2759922279796341, 0.9238795325112867, -0.10646921403545888, -0.36
7574367807928, 0.9238795325112867, 0.37156334731940005, 0.09158213982829398
, 0.9238795325112867, 0.4945564328017459  …  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 
0.0, 0.0, 0.0, 0.0], [-0.2650941332841742, 0.2759922279798762, 0.9238795325
111475, -0.10646921403555346, -0.3675743678082478, 0.9238795325111486, 0.37
156334731972307, 0.09158213982837514, 0.9238795325111487, 0.494556432801738
4  …  -2.9381980376366813e-9, 4.86158636660428e-9, -1.2869567280894642e-9, 
-3.2198125918363613e-9, -6.800682075927034e-10, -2.0613020551547345e-9, 1.3
95353671803122e-9, -5.950468450941714e-9, -3.1091445411164066e-9, -1.179492
0129632018e-9], [-0.26509413328457315, 0.275992227980291, 0.923879532510909
2, -0.10646921403571546, -0.3675743678087956, 0.9238795325109119, 0.3715633
4732027646, 0.09158213982851418, 0.9238795325109125, 0.4945564328017254  … 
 3.773980583547631e-9, 2.9180823857587613e-9, 6.262879513645702e-9, 3.90755
6772321569e-10, -9.50897966840413e-9, 2.9618965045870536e-9, 5.985906962402
134e-9, -9.907983177907806e-9, 4.857183359386243e-9, -1.0377246094378827e-9
], [-0.2650941332851672, 0.2759922279809085, 0.9238795325105542, -0.1064692
140359567, -0.3675743678096114, 0.9238795325105595, 0.3715633473211003, 0.0
915821398287212, 0.9238795325105607, 0.49455643280170614  …  2.515786108395
88e-11, 3.110473938978998e-9, -2.7489828242557556e-10, 6.738250344988411e-9
, 5.447683730400059e-9, 1.2408042216050644e-9, 4.738472372329455e-9, -3.816
383768998203e-9, 5.243285297956977e-9, -1.0814401231430751e-8], [-0.2650941
332860057, 0.2759922279817802, 0.9238795325100533, -0.10646921403629718, -0
.3675743678107627, 0.9238795325100623, 0.37156334732226315, 0.0915821398290
134, 0.9238795325100639, 0.4945564328016791  …  -1.4930375118523534e-9, -1.
0677206569701569e-8, 1.2123400367883947e-9, -9.630793742110146e-10, -4.9646
15506365783e-10, -4.371563998672631e-9, -1.4449718034149703e-9, -1.57078559
05313584e-9, 1.6860645000515239e-9, 3.766706411702783e-9], [-0.265094133287
1582, 0.2759922279829783, 0.9238795325093646, -0.10646921403676515, -0.3675
743678123452, 0.9238795325093787, 0.37156334732386154, 0.09158213982941507,
 0.9238795325093813, 0.4945564328016418  …  -2.829457295085245e-9, 2.306789
14896376e-9, 4.019045677623573e-9, -3.0870113868925387e-9, -9.4023627166643
51e-10, 5.341789967056231e-10, -2.8827792190756617e-9, -9.360006859059129e-
9, -2.5753422404871796e-9, 3.264240878693443e-9], [-0.2650941332886537, 0.2
75992227984533, 0.923879532508471, -0.10646921403737239, -0.367574367814398
6, 0.9238795325084919, 0.3715633473259356, 0.09158213982993625, 0.923879532
5084955, 0.4945564328015934  …  1.3163880292736783e-9, -7.520964305631057e-
9, 9.434997922878726e-10, -1.916103204104861e-9, 1.646175760775223e-9, -2.2
97769321134328e-9, -4.630660131508884e-9, -5.46221286212423e-9, -1.92693497
78233163e-9, -5.1301181570586886e-9], [-0.2650941332905436, 0.2759922279864
977, 0.9238795325073419, -0.10646921403813973, -0.3675743678169936, 0.92387
9532507371, 0.3715633473285565, 0.09158213983059485, 0.9238795325073761, 0.
4945564328015323  …  -1.8698349995330668e-9, -2.7464017247324886e-9, -8.827
596628252208e-10, 1.8128003092538084e-9, 7.164037967350772e-9, 3.1009199130
20742e-9, 8.036908245127148e-10, -5.923162444730369e-9, -4.0238435363288964
e-9, 2.764308117529542e-9], [-0.26509413329288956, 0.2759922279889366, 0.92
38795325059401, -0.10646921403909228, -0.36757436782021485, 0.9238795325059
795, 0.37156334733181, 0.09158213983141243, 0.9238795325059865, 0.494556432
8014564  …  3.950627054635561e-9, 1.771468244135932e-9, 2.101010074922371e-
9, 1.5672871413690205e-9, 8.320401732162137e-10, 5.104570071681936e-10, -3.
450993958468019e-9, 2.128621167396301e-10, 3.873601566936303e-9, 9.24230148
6958966e-10], [-0.26509413329585574, 0.27599222799202006, 0.923879532504168
, -0.10646921404029665, -0.3675743678242877, 0.9238795325042204, 0.37156334
733592344, 0.0915821398324461, 0.9238795325042298, 0.49455643280136047  …  
-2.3171051265390624e-9, 8.027530206632113e-10, -4.287360150284864e-9, 1.325
69536898589e-9, 3.3766392808190897e-9, 4.965416267302419e-9, 5.352492006491
146e-10, -1.4576853573447413e-10, -1.0253611519609038e-9, 5.493174282941085
e-9]  …  [-0.40702629538697305, 0.3463758774581013, 0.845194265467228, 0.07
75293349555316, -0.26286635564642724, 0.9617122653322662, 0.710057684931900
6, 0.12129485192767821, 0.6936177931433077, 0.23482678332007131  …  6.45195
633876406e-16, 5.07580972346805e-16, 4.1269969664277186e-16, 8.003976549593
222e-16, -5.098071221153372e-16, 4.1493581733728216e-16, 4.991997837855795e
-17, 2.812127590431388e-16, -3.2792098322469923e-16, 4.986480541842396e-16]
, [-0.4070263264532298, 0.3463758773698235, 0.8451942505426039, 0.077529344
06298198, -0.26286629470298095, 0.9617122812558283, 0.71005775657401, 0.121
29481821517442, 0.693617725698552, 0.2348267768556548  …  5.460817414712736
e-16, 7.944599995175238e-16, 2.994717110861975e-16, -7.71874540637152e-16, 
9.238612467296446e-17, -1.6084641081674373e-17, -6.843868519741059e-17, -5.
824772084963076e-16, -4.149216585893152e-16, 1.4944995287594123e-15], [-0.4
070263376170111, 0.3463758772665546, 0.845194245208702, 0.07752934739116238
, -0.262866272834908, 0.9617122869647575, 0.7100577823210024, 0.12129480600
474604, 0.6936177014765779, 0.23482677452588221  …  -3.001685519005525e-16,
 -4.927879823606554e-16, -7.672731763005923e-16, -3.618510822795282e-16, 4.
4407681458549273e-16, -4.3837837487325375e-16, -2.096697281370121e-16, -1.6
2820072767635e-16, -3.2578697248948327e-16, -4.41406222100141e-16], [-0.407
02633814491695, 0.3463758772875023, 0.8451942449458898, 0.07752934755832482
, -0.26286627176995647, 0.9617122872423663, 0.7100577836014212, 0.121294805
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763e-16, 5.412744014614547e-16, 4.0915815269803087e-16, 1.545957709531198e-
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Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}(SciMLBase.ODEFunctio
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Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFA
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ciMLBase.DEFAULT_OBSERVED, nothing, nothing, nothing, nothing), [[-0.265094
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5325111475, -0.10646921403555346, -0.3675743678082478, 0.9238795325111486, 
0.37156334731972307, 0.09158213982837514, 0.9238795325111487, 0.49455643280
17384  …  -2.9381980376366813e-9, 4.86158636660428e-9, -1.2869567280894642e
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56334732027646, 0.09158213982851418, 0.9238795325109125, 0.4945564328017254
  …  3.773980583547631e-9, 2.9180823857587613e-9, 6.262879513645702e-9, 3.9
07556772321569e-10, -9.50897966840413e-9, 2.9618965045870536e-9, 5.98590696
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 0.0915821398287212, 0.9238795325105607, 0.49455643280170614  …  2.51578610
839588e-11, 3.110473938978998e-9, -2.7489828242557556e-10, 6.73825034498841
1e-9, 5.447683730400059e-9, 1.2408042216050644e-9, 4.738472372329455e-9, -3
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507, 0.9238795325093813, 0.4945564328016418  …  -2.829457295085245e-9, 2.30
678914896376e-9, 4.019045677623573e-9, -3.0870113868925387e-9, -9.402362716
664351e-10, 5.341789967056231e-10, -2.8827792190756617e-9, -9.3600068590591
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43986, 0.9238795325084919, 0.3715633473259356, 0.09158213982993625, 0.92387
95325084955, 0.4945564328015934  …  1.3163880292736783e-9, -7.5209643056310
57e-9, 9.434997922878726e-10, -1.916103204104861e-9, 1.646175760775223e-9, 
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3919184723731e-15, -6.301252802813563e-15, -1.1789535606034063e-16, -5.7832
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-8, -1.4084898918945651e-8, -1.6594845518847085e-8, -4.099657386330258e-9  
…  3.9806864859458105e-14, 3.1753621820667065e-14, 2.3910731754973855e-14, 
4.842572154225618e-14, -3.0477507140843334e-14, 2.0913981306467292e-14, 1.9
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2.2664249234384516e-14, -3.65599107759377e-14, 2.3766845895757953e-14, -1.8
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82166e-8, 1.0305920007395699e-8, 1.300100257859321e-8, 3.1890891427798386e-
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, -4.186739709914049e-14, 2.1681145068487015e-15, 5.358730174633708e-15, -5
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, -6.2883764956735465e-15, -1.0188279275039997e-14, -6.3311327390935376e-15
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 5.846121736328203e-16, 1.2169115155986543e-15, -6.504245309721925e-15, 1.9
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40436e-13, 4.2343396710152786e-13, -1.9605480839679924e-12, -9.213173414071
606e-14, 4.529773472931291e-12  …  -3.6333494504974964e-16, 7.0381612413991
07e-16, -4.1337572548832995e-16, 2.4262405138275977e-15, -3.430417538280753
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0261341077864e-12, -9.108668707912626e-13, -1.5230967510355724e-11  …  9.43
0373958351987e-16, -2.5053658135141985e-15, 1.628704792660604e-15, -7.83073
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1.1984660066123004e-15, 7.140201265467048e-15, -1.0045019730826691e-14, 2.5
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5, 1.6429003922311208e-16, 1.7783847215431755e-15, -4.946562328331962e-16, 
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9.1638401551051e-16, -4.860098076057416e-16, -6.820867215382207e-16, 9.3412
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68303e-17, 1.4707132667510832e-16, 1.5261911405250162e-16, 5.14983556302751
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29045e-16, -2.5356481198161243e-16, 3.8724013312396145e-16, -3.516859193305
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-2.9997585540220074e-13, -9.40392775349287e-13, 4.749382457606865e-13, 8.17
1012041420787e-14  …  3.444608842721769e-16, -1.0077826041643763e-16, 5.412
744014614547e-16, 4.0915815269803087e-16, 1.545957709531198e-16, -3.4526222
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odelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x885
4662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}(Modeling
Toolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Ru
ntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x
3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFu
nctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters__
_, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag
", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}(
RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpa
rameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModT
ag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6
, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase.Void{ModelingToo
lkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb
2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunct
ions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, 
:t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", 
(0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}), 
FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{For
wardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{F
orwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Flo
at64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector{0, Fl
oat64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{
}}, Float64}}(Ptr{Nothing} @0x00007fcaf3a212b0, Ptr{Nothing} @0x00007fcb5c8
6c038, Base.RefValue{SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrappe
r{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modeli
ngToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e
9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_R
GF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7
ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.Void{ModelingToolki
t.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeG
eneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.
var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb278
1f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunction
s.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}(Model
ingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions
.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Modelin
gToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316,
 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGenerate
dFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameter
s___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mod
Tag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing
}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mt
kparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var
"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b
), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_M
odTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3b
ee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase.Void{Modeling
Toolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Ru
ntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x
3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFu
nctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters__
_, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag
", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}
), FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{
ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vecto
r{Float64}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector{0, F
loat64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple
{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64
}, Float64, 1}}}(Ptr{Nothing} @0x00007fcaf3a37770, Ptr{Nothing} @0x00007fcb
69e70010, Base.RefValue{SciMLBase.Void{ModelingToolkit.GeneratedFunctionWra
pper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__m
tk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Mod
elingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b0
59e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunc
tion{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 
0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.Void{ModelingToo
lkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb
2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunct
ions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, 
:t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", 
(0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}(Mo
delingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFuncti
ons.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mode
lingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf3
16, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparame
ters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_
ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Noth
ing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3
f4b), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7e
a3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase.Void{Model
ingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions
.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Modelin
gToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316,
 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGenerate
dFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameter
s___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mod
Tag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing
}}}), FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Du
al{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Ve
ctor{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64
}, Float64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector
{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, 
Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Fl
oat64}, Float64, 1}}}(Ptr{Nothing} @0x00007fcaf3a8adc0, Ptr{Nothing} @0x000
07fcb69e70028, Base.RefValue{SciMLBase.Void{ModelingToolkit.GeneratedFuncti
onWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{
(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0
x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit
.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265
c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.Void{Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Modeling
Toolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 
0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters
___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}
}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t),
 ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6
6acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runtime
GeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkp
arameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#
_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0),
 Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1
, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToo
lkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0x
ab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFun
ction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var
"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54,
 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase.Void{
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66ac
f316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), No
thing}}}))), [1.0 0.0 … 0.0 0.0; 0.0 1.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 
0.0 0.0 … 0.0 0.0], nothing, nothing, nothing, nothing, nothing, nothing, n
othing, nothing, nothing, nothing, nothing, nothing, ModelingToolkit.Observ
edFunctionCache{ModelingToolkit.ODESystem}(Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), Dict{Any, Any}(), false, false, Model
ingToolkit, false, true), nothing, Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), SciMLBase.OverrideInitData{SciMLBase.
NonlinearLeastSquaresProblem{Vector{Float64}, true, ModelingToolkit.MTKPara
meters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Flo
at64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{tr
ue, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79f
c2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41, 0x11c
afd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, No
thing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSyste
m}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64}, Nothing}, Ba
se.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, Nothing}, typeo
f(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunctio
n{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingIn
terface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWr
apper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__
mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Modeli
ngToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b14
4, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_M
odTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fd
a4d, 0x9cc206c8, 0xece1a91b), Nothing}}}}, ModelingToolkit.var"#initprobpma
p_split#810"{ModelingToolkit.var"#_getter#806"{Tuple{Returns{StaticArraysCo
re.SizedVector{0, Float64, Vector{Float64}}}, ComposedFunction{ModelingTool
kit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapp
er{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters__
_), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (
0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, Runt
imeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), 
Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}}, Model
ingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob
{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.P
ConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{tr
ue, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6)
, Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Floa
t64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFun
ction{typeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunc
tion{SymbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.Genera
tedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada
, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}, Mode
lingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndependentObservedF
unction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
f527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), No
thing}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexi
ngInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}}
, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.M
ultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}}, Val{tr
ue}}(SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Modeling
Toolkit.MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Floa
t64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.Nonli
nearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunct
ionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", M
odelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x42
0c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFu
nction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_
RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0x
e783be41, 0x11cafd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{
Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothi
ng, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit
.NonlinearSystem}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64
}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, 
Nothing}(SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x27
3d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
dedf71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}}, Linea
rAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunct
ionCache{ModelingToolkit.NonlinearSystem}, Nothing, ModelingToolkit.Nonline
arSystem, Vector{Float64}, Nothing}(ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0
x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41,
 0x11cafd93, 0xd588605e), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF
_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49
901f8, 0x420c0f66, 0x7c79fc2e), Nothing}(nothing), RuntimeGeneratedFunction
s.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf
71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}(nothing)), 
LinearAlgebra.UniformScaling{Bool}(true), nothing, nothing, nothing, nothin
g, nothing, nothing, nothing, nothing, nothing, nothing, ModelingToolkit.Ob
servedFunctionCache{ModelingToolkit.NonlinearSystem}(Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), Dict{Any, Any}(Any[p20_1ˍtt(t), p5_1
ˍtt(t), p9_1ˍt(t), p8_1ˍtt(t), p3_1ˍtt(t), p18_1ˍt(t), p15_1ˍtt(t), p18_1ˍt
t(t), p6_1ˍt(t), p2_1ˍtt(t)  …  p19_1ˍt(t), p10_1ˍtt(t), p4_1ˍtt(t), p3_1ˍt
(t), p5_1ˍt(t), p11_1ˍtt(t), p4_1ˍt(t), p16_1ˍtt(t), p7_1ˍt(t), p1_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa620
2ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0xca74876d, 0x618456e2), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xa6202ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0x
ca74876d, 0x618456e2), Nothing}(nothing)), SymbolicUtils.BasicSymbolic{Real
}[p10_2(t), p10_3(t), p11_2(t), p11_3(t), p12_2(t), p12_3(t), p13_2(t), p13
_3(t), p14_2(t), p14_3(t)  …  p1_1ˍtt(t), p20_1ˍtt(t), p2_1ˍtt(t), p3_1ˍtt(
t), p4_1ˍtt(t), p5_1ˍtt(t), p6_1ˍtt(t), p7_1ˍtt(t), p8_1ˍtt(t), p9_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46
afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x
9cc206c8, 0xece1a91b), Nothing}(nothing))), false, false, ModelingToolkit, 
false, true), nothing, Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 
0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], nothin
g), [0.0, 0.0, -5.033861372906908, 3.484319431960476], ModelingToolkit.MTKP
arameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{
Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}([0.0, 0.0, 0.0, 0.0, 0.0, 0.
0, 0.0, 0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.2759922279796341, 0.0, 0.0, 0.0,
 0.0, 0.0, 0.3826834323650898], Float64[], (), (), (), ()), nothing, nothin
g, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}()), ModelingToolkit.
update_initializeprob!, identity ∘ ModelingToolkit.safe_float ∘ SymbolicInd
exingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFun
ctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFuncti
on{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0x
f0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 
0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}}(ModelingToolkit.GeneratedFu
nctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunct
ion{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0
xf0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var
"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57,
 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}(RuntimeGeneratedFunctions.R
untimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e
532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}(nothing), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparame
ters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}
(nothing))), ModelingToolkit.var"#initprobpmap_split#810"{ModelingToolkit.v
ar"#_getter#806"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vec
tor{Float64}}}, ComposedFunction{ModelingToolkit.PConstructorApplicator{typ
eof(identity)}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Gene
ratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGenerat
edFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f
54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeG
eneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5
363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}},
 Returns{Tuple{}}, Returns{Tuple{}}}}}(ModelingToolkit.var"#_getter#806"{Tu
ple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Com
posedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, Mod
elingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0
xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f,
 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, 
Returns{Tuple{}}}}((Returns{StaticArraysCore.SizedVector{0, Float64, Vector
{Float64}}}(Float64[]), ModelingToolkit.PConstructorApplicator{typeof(ident
ity)}(identity) ∘ ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Ge
neratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGener
atedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca
4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0x
e5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}(ModelingToolkit.G
eneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGene
ratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_R
GF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xc
a4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingT
oolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0
xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}(RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mod
elingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22
ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}(nothing), Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368)
, Nothing}(nothing))), Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{
Tuple{}}(())))), ModelingToolkit.InitializationMetadata{ModelingToolkit.Rec
onstructInitializeprob{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunc
tion{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingTool
kit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, t
rue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc8808
02d), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0
x3046654d, 0x14408bb6), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0
, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{T
uple{}}}}, ComposedFunction{typeof(identity), SymbolicIndexingInterface.Tim
eDependentObservedFunction{SymbolicIndexingInterface.ContinuousTimeseries, 
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c05
4df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), No
thing}}, true}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.Ti
meIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a
126), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParameter
sGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicInde
xingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructu
res.Initials, Int64}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{Symbo
licIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}}}}}(Dict{Any, Any}(p4_3(t) => Initial(p4_3(t)), p16_2(t) => Init
ial(p16_2(t)), p8_3(t) => Initial(p8_3(t)), p11_2(t) => Initial(p11_2(t)), 
p2_3(t) => Initial(p2_3(t)), p8_1(t) => Initial(p8_1(t)), p13_3(t) => Initi
al(p13_3(t)), q12_2(t) => Initial(q12_2(t)), lam8(t) => Initial(lam8(t)), p
17_1(t) => Initial(p17_1(t))…), Dict{Any, Any}(Initial(q8_2(t)) => 0.0, Ini
tial(q1_1ˍtt(t)) => false, Initial(p17_1ˍtt(t)) => false, Initial(q2_2ˍt(t)
) => false, Initial(q9_1ˍtt(t)) => false, Initial(q13_3ˍt(t)) => false, Ini
tial(p11_2ˍt(t)) => false, Initial(p10_2ˍt(t)) => false, Initial(p6_2ˍt(t))
 => false, Initial(p13_2(t)) => -0.39637251901583237…), Dict{Any, Any}(), S
ymbolics.Equation[], true, ModelingToolkit.ReconstructInitializeprob{Modeli
ngToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, Mod
elingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54
b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothi
ng}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}},
 Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFunction{t
ypeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunction{Sy
mbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunc
tionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd,
 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b
065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}(ModelingTool
kit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstructorAp
plicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingT
oolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Run
timeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToo
lkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x6
34867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___
, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag"
, (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}}}}
, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Retur
ns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}((ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}(identity) ∘ ModelingToolkit.ObservedWrappe
r{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___,
 :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag",
 (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408
bb6), Nothing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), Run
timeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparam
eters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Not
hing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d
, 0x14408bb6), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag
", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 
0x413b347f, 0xc880802d), Nothing}(nothing), RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa8679da
b, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}(nothing))), Re
turns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}(Float64[])
, Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{Tuple{}}(()))), ident
ity ∘ SymbolicIndexingInterface.TimeDependentObservedFunction{SymbolicIndex
ingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunctionWrapper
{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0
, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64
b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}(SymbolicIndexingInterface
.ContinuousTimeseries(), ModelingToolkit.GeneratedFunctionWrapper{(2, 3, tr
ue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___
mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.v
ar"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b99
26), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, 
:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x
1b4ffc4d, 0x9383e45b), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}(nothing), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t
), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0
x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}(nothin
g)))), ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndepende
ntObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpar
ameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothi
ng}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg
_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00
c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParametersGetter{Sym
bolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterfa
ce.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initial
s, Int64}}}, Nothing}}(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0  …  1, 1, 1, 1, 1,
 1, 1, 1, 1, 1], SymbolicIndexingInterface.TimeIndependentObservedFunction{
ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7c
, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenerat
edFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamete
rs___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag
", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}}
(ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7
c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTa
g", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}
(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkp
arameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Not
hing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}(nothing))), SymbolicIndexingInterface.Multiple
ParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{Sym
bolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}}, Nothing}(SymbolicIndexingInterface.GetPara
meterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}
[SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}(SciMLStructures.Initials(), 267, false)), SymbolicI
ndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}(SciMLStructures.Initials(), 380, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 86, false)), SymbolicIndexingInterface.GetP
arameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int6
4}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLSt
ructures.Initials(), 92, false)), SymbolicIndexingInterface.GetParameterInd
ex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.In
itials(), 359, false)), SymbolicIndexingInterface.GetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
206, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 10, false)
), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterInd
ex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLSt
ructures.Initials, Int64}(SciMLStructures.Initials(), 76, false)), Symbolic
IndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 38, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 172, false))  …  SymbolicIndexingInterface.
GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, 
Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(Sci
MLStructures.Initials(), 27, false)), SymbolicIndexingInterface.GetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 259, false)), SymbolicIndexingInterface.GetParameterIndex{Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials
(), 254, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Paramet
erIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 36, fa
lse)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.Paramete
rIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}(SciMLStructures.Initials(), 23, false)), Symb
olicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 237, false)), SymbolicIndexi
ngInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}(SciMLStructures.Initials(), 215, false)), SymbolicIndexingInterfac
e.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 117, false)), SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStruct
ures.Initials(), 45, false)), SymbolicIndexingInterface.GetParameterIndex{M
odelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initia
ls(), 294, false))], nothing)), ModelingToolkit.SetInitialUnknowns{Symbolic
IndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Paramete
rHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Pa
rameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic
{Real}}}}}(SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexin
gInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex
{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symbolic
Utils.BasicSymbolic{Real}}}}(SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}[Symb
olicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 267, false)), Initial(p10_2(t))), SymbolicIndexingInterface.P
arameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicS
ymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.
ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterI
ndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 380, fals
e)), Initial(p10_3(t))), SymbolicIndexingInterface.ParameterHookWrapper{Sym
bolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symbolic
IndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 86, false)), Initial(p11_2(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 92, false)), Initial(p11_3(t))), SymbolicIndexingInterfa
ce.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.Ba
sicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTool
kit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 359, 
false)), Initial(p12_2(t))), SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symb
olicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 206, false)), Initial(p12_3(
t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciM
LStructures.Initials(), 10, false)), Initial(p13_2(t))), SymbolicIndexingIn
terface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Mo
delingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUti
ls.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
76, false)), Initial(p13_3(t))), SymbolicIndexingInterface.ParameterHookWra
pper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterI
ndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(
SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{
SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruc
tures.Initials, Int64}(SciMLStructures.Initials(), 38, false)), Initial(p14
_2(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInt
erface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterfac
e.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 172, false)), Initial(p14_3(t)))  …  SymbolicInd
exingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterI
ndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symb
olicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initi
als(), 27, false)), Initial(p1_1ˍtt(t))), SymbolicIndexingInterface.Paramet
erHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymboli
c{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{S
ciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 259, false)), I
nitial(p20_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 254, false)), Initial(p2_1ˍtt(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 36, false)), Initial(p3_1ˍtt(t))), SymbolicIndexingInter
face.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Model
ingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.
BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Para
meterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 23,
 false)), Initial(p4_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrap
per{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(S
ymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{S
ciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}(SciMLStructures.Initials(), 237, false)), Initial(p5_
1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingI
nterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.I
nitials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
(SciMLStructures.Initials(), 215, false)), Initial(p6_1ˍtt(t))), SymbolicIn
dexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameter
Index{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Sym
bolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex
{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingT
oolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Init
ials(), 117, false)), Initial(p7_1ˍtt(t))), SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Para
meterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 45, false)), 
Initial(p8_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 294, false)), Initial(p9_1ˍtt(t)))]
))), Val{true}()), nothing), [0.09988894819708992, 0.3826834323650898, 0.91
09909992588205, -0.40673664307580015, 0.5146184802429882, -0.40673664307580
015, -0.39637251901583237, -0.40673664307580015, -0.9109909992588205, -0.40
673664307580015  …  -2.9842341509894617, 1.105580114328058, -1.200608032206
675, 4.175891999514561, 4.683210670492554, -2.842932844578383, -8.372194075
591601, -7.485794633780495, -1.0013590596682649, 6.169954996728397], (0.0, 
1000.0), ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector{0, Floa
t64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}
(Float64[], [0.0, -4.131607781650916, -2.895155231298144, 5.095430301225885
, 0.0, 0.0, 0.0, 0.0, 0.0, -0.39637251901583237  …  0.0, 0.0, 0.0, 0.275992
2279796341, 0.0, 8.49852065849122, 0.0, 0.0, 0.0, 0.3826834323650898], (), 
(), (), ()), Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}(), SciMLBa
se.StandardODEProblem()), OrdinaryDiffEqRosenbrock.Rodas5P{1, ADTypes.AutoF
orwardDiff{1, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Noth
ing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothi
ng, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.
trivial_limiter!)}(nothing, OrdinaryDiffEqCore.DEFAULT_PRECS, OrdinaryDiffE
qCore.trivial_limiter!, OrdinaryDiffEqCore.trivial_limiter!, ADTypes.AutoFo
rwardDiff(chunksize=1, tag=ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Fl
oat64}())), OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{true
, SciMLBase.AutoSpecialize, FunctionWrappersWrappers.FunctionWrappersWrappe
r{Tuple{FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}, Ve
ctor{Float64}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector{0
, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tu
ple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{F
orwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Flo
at64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffE
qTag, Float64}, Float64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCor
e.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple
{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing,
 Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag
, Float64}, Float64, 1}}, Vector{Float64}, ModelingToolkit.MTKParameters{St
aticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, T
uple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEq
Base.OrdinaryDiffEqTag, Float64}, Float64, 1}}}, FunctionWrappers.FunctionW
rapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.Or
dinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDif
f.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, ModelingToolkit
.MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, V
ector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{Forwa
rdDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}}, false}, 
LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Nothing, Nothing, Nothing
, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, N
othing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.ODESystem}, N
othing, ModelingToolkit.ODESystem, SciMLBase.OverrideInitData{SciMLBase.Non
linearLeastSquaresProblem{Vector{Float64}, true, ModelingToolkit.MTKParamet
ers{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float6
4}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{true,
 SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, 
true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :_
__mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var
"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2e
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{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_a
rg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToo
lkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0x
e3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ
₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag
", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 
0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, R
eturns{Tuple{}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.
ReconstructInitializeprob{ModelingToolkit.var"#_getter#806"{Tuple{ComposedF
unction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingT
oolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3
, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, 
:___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc8
80802d), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModT
ag", ModelingToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013
, 0x3046654d, 0x14408bb6), Nothing}}}}, Returns{StaticArraysCore.SizedVecto
r{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Return
s{Tuple{}}}}, ComposedFunction{typeof(identity), SymbolicIndexingInterface.
TimeDependentObservedFunction{SymbolicIndexingInterface.ContinuousTimeserie
s, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t),
 ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3
c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, Runtime
GeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkp
arameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#
_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b),
 Nothing}}, true}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface
.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(
2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg
_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca
71a126), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x
9694e69f, 0x00c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParame
tersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicI
ndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{Sy
mbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Pa
rameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingTool
kit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSy
mbolic{Real}}}}}}, Val{true}}, Nothing}(FunctionWrappersWrappers.FunctionWr
appersWrapper{Tuple{FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{
Float64}, Vector{Float64}, ModelingToolkit.MTKParameters{StaticArraysCore.S
izedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{},
 Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tu
ple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, F
loat64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.O
rdinaryDiffEqTag, Float64}, Float64, 1}}, ModelingToolkit.MTKParameters{Sta
ticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tu
ple{}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrap
per{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.Ordin
aryDiffEqTag, Float64}, Float64, 1}}, Vector{Float64}, ModelingToolkit.MTKP
arameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector
{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDif
f.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}, FunctionWrappe
rs.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{D
iffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dua
l{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Mod
elingToolkit.MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{
Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDif
f.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}
}}, false}((FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}
, Vector{Float64}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVect
or{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}
, Tuple{}}, Float64}}(Ptr{Nothing} @0x00007fcaf39cdb50, Ptr{Nothing} @0x000
07fcb5c86c018, Base.RefValue{SciMLBase.Void{ModelingToolkit.GeneratedFuncti
onWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{
(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0
x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit
.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265
c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.Void{Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Modeling
Toolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 
0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters
___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}
}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t),
 ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6
6acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runtime
GeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkp
arameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#
_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0),
 Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1
, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToo
lkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0x
ab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFun
ction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var
"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54,
 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase.Void{
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66ac
f316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), No
thing}}}), FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDi
ff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}
}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Fl
oat64}, Float64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedV
ector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tupl
e{}, Tuple{}}, Float64}}(Ptr{Nothing} @0x00007fcaf3a212b0, Ptr{Nothing} @0x
00007fcb5c86c038, Base.RefValue{SciMLBase.Void{ModelingToolkit.GeneratedFun
ctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFuncti
on{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModT
ag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0
, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGener
atedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6
265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.Void{Mod
elingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf31
6, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothi
ng}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerat
edFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :
t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (
0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runt
imeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___m
tkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.va
r"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de
0), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_ar
g_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modeling
Toolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9,
 0xab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.
var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c
54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase.Vo
id{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t),
 ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6
6acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runtime
GeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkp
arameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#
_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0),
 Nothing}}}), FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Forwar
dDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64,
 1}}, Vector{Float64}, ModelingToolkit.MTKParameters{StaticArraysCore.Sized
Vector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tup
le{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqT
ag, Float64}, Float64, 1}}}(Ptr{Nothing} @0x00007fcaf3a37770, Ptr{Nothing} 
@0x00007fcb69e70010, Base.RefValue{SciMLBase.Void{ModelingToolkit.Generated
FunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFun
ction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_M
odTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b79
6c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGe
neratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingT
oolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0
xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.Void{
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66ac
f316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), No
thing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGene
ratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___
, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag"
, (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :_
__mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit
.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc
6de0), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk
_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Model
ingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059
e9, 0xab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc62
65c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciMLBase
.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerat
edFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :
t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (
0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runt
imeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___m
tkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.va
r"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de
0), Nothing}}}), FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{For
wardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float
64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqT
ag, Float64}, Float64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCore.
SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}
, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDi
ffEqTag, Float64}, Float64, 1}}}(Ptr{Nothing} @0x00007fcaf3a8adc0, Ptr{Noth
ing} @0x00007fcb69e70028, Base.RefValue{SciMLBase.Void{ModelingToolkit.Gene
ratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGenerat
edFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_
RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0x
a5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.Runt
imeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Mode
lingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x885466
2e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}}(SciMLBase.
Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerate
dFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t
), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0
x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runti
meGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mt
kparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var
"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0
), Nothing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparamete
rs___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothin
g}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_
1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0
x83cc6de0), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", 
ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x7
5b059e9, 0xab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeG
eneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Modeling
Toolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 
0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)))), SciM
LBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGe
neratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters_
__, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTa
g", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing},
 RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, 
:___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83
cc6de0), Nothing}}}))), [1.0 0.0 … 0.0 0.0; 0.0 1.0 … 0.0 0.0; … ; 0.0 0.0 
… 0.0 0.0; 0.0 0.0 … 0.0 0.0], nothing, nothing, nothing, nothing, nothing,
 nothing, nothing, nothing, nothing, nothing, nothing, nothing, ModelingToo
lkit.ObservedFunctionCache{ModelingToolkit.ODESystem}(Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), Dict{Any, Any}(), false, false, Model
ingToolkit, false, true), nothing, Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), SciMLBase.OverrideInitData{SciMLBase.
NonlinearLeastSquaresProblem{Vector{Float64}, true, ModelingToolkit.MTKPara
meters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Flo
at64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{tr
ue, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79f
c2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41, 0x11c
afd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, No
thing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSyste
m}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64}, Nothing}, Ba
se.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, Nothing}, typeo
f(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunctio
n{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingIn
terface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWr
apper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__
mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Modeli
ngToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b14
4, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_M
odTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fd
a4d, 0x9cc206c8, 0xece1a91b), Nothing}}}}, ModelingToolkit.var"#initprobpma
p_split#810"{ModelingToolkit.var"#_getter#806"{Tuple{Returns{StaticArraysCo
re.SizedVector{0, Float64, Vector{Float64}}}, ComposedFunction{ModelingTool
kit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapp
er{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters__
_), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (
0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, Runt
imeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), 
Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}}, Model
ingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob
{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.P
ConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{tr
ue, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6)
, Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Floa
t64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFun
ction{typeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunc
tion{SymbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.Genera
tedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada
, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}, Mode
lingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndependentObservedF
unction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
f527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), No
thing}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexi
ngInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}}
, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.M
ultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}}, Val{tr
ue}}(SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Modeling
Toolkit.MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Floa
t64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.Nonli
nearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunct
ionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", M
odelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x42
0c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFu
nction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_
RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0x
e783be41, 0x11cafd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{
Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothi
ng, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit
.NonlinearSystem}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64
}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, 
Nothing}(SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x27
3d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
dedf71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}}, Linea
rAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunct
ionCache{ModelingToolkit.NonlinearSystem}, Nothing, ModelingToolkit.Nonline
arSystem, Vector{Float64}, Nothing}(ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0
x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41,
 0x11cafd93, 0xd588605e), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF
_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49
901f8, 0x420c0f66, 0x7c79fc2e), Nothing}(nothing), RuntimeGeneratedFunction
s.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf
71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}(nothing)), 
LinearAlgebra.UniformScaling{Bool}(true), nothing, nothing, nothing, nothin
g, nothing, nothing, nothing, nothing, nothing, nothing, ModelingToolkit.Ob
servedFunctionCache{ModelingToolkit.NonlinearSystem}(Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), Dict{Any, Any}(Any[p20_1ˍtt(t), p5_1
ˍtt(t), p9_1ˍt(t), p8_1ˍtt(t), p3_1ˍtt(t), p18_1ˍt(t), p15_1ˍtt(t), p18_1ˍt
t(t), p6_1ˍt(t), p2_1ˍtt(t)  …  p19_1ˍt(t), p10_1ˍtt(t), p4_1ˍtt(t), p3_1ˍt
(t), p5_1ˍt(t), p11_1ˍtt(t), p4_1ˍt(t), p16_1ˍtt(t), p7_1ˍt(t), p1_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa620
2ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0xca74876d, 0x618456e2), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xa6202ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0x
ca74876d, 0x618456e2), Nothing}(nothing)), SymbolicUtils.BasicSymbolic{Real
}[p10_2(t), p10_3(t), p11_2(t), p11_3(t), p12_2(t), p12_3(t), p13_2(t), p13
_3(t), p14_2(t), p14_3(t)  …  p1_1ˍtt(t), p20_1ˍtt(t), p2_1ˍtt(t), p3_1ˍtt(
t), p4_1ˍtt(t), p5_1ˍtt(t), p6_1ˍtt(t), p7_1ˍtt(t), p8_1ˍtt(t), p9_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46
afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x
9cc206c8, 0xece1a91b), Nothing}(nothing))), false, false, ModelingToolkit, 
false, true), nothing, Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 
0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], nothin
g), [0.0, 0.0, -5.033861372906908, 3.484319431960476], ModelingToolkit.MTKP
arameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{
Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}([0.0, 0.0, 0.0, 0.0, 0.0, 0.
0, 0.0, 0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.2759922279796341, 0.0, 0.0, 0.0,
 0.0, 0.0, 0.3826834323650898], Float64[], (), (), (), ()), nothing, nothin
g, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}()), ModelingToolkit.
update_initializeprob!, identity ∘ ModelingToolkit.safe_float ∘ SymbolicInd
exingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFun
ctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFuncti
on{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0x
f0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 
0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}}(ModelingToolkit.GeneratedFu
nctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunct
ion{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0
xf0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var
"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57,
 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}(RuntimeGeneratedFunctions.R
untimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e
532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}(nothing), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparame
ters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}
(nothing))), ModelingToolkit.var"#initprobpmap_split#810"{ModelingToolkit.v
ar"#_getter#806"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vec
tor{Float64}}}, ComposedFunction{ModelingToolkit.PConstructorApplicator{typ
eof(identity)}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Gene
ratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGenerat
edFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f
54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeG
eneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5
363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}},
 Returns{Tuple{}}, Returns{Tuple{}}}}}(ModelingToolkit.var"#_getter#806"{Tu
ple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Com
posedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, Mod
elingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0
xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f,
 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, 
Returns{Tuple{}}}}((Returns{StaticArraysCore.SizedVector{0, Float64, Vector
{Float64}}}(Float64[]), ModelingToolkit.PConstructorApplicator{typeof(ident
ity)}(identity) ∘ ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Ge
neratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGener
atedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca
4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0x
e5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}(ModelingToolkit.G
eneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGene
ratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_R
GF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xc
a4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingT
oolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0
xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}(RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mod
elingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22
ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}(nothing), Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368)
, Nothing}(nothing))), Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{
Tuple{}}(())))), ModelingToolkit.InitializationMetadata{ModelingToolkit.Rec
onstructInitializeprob{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunc
tion{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingTool
kit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, t
rue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc8808
02d), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0
x3046654d, 0x14408bb6), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0
, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{T
uple{}}}}, ComposedFunction{typeof(identity), SymbolicIndexingInterface.Tim
eDependentObservedFunction{SymbolicIndexingInterface.ContinuousTimeseries, 
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c05
4df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), No
thing}}, true}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.Ti
meIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a
126), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParameter
sGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicInde
xingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructu
res.Initials, Int64}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{Symbo
licIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}}}}}(Dict{Any, Any}(p4_3(t) => Initial(p4_3(t)), p16_2(t) => Init
ial(p16_2(t)), p8_3(t) => Initial(p8_3(t)), p11_2(t) => Initial(p11_2(t)), 
p2_3(t) => Initial(p2_3(t)), p8_1(t) => Initial(p8_1(t)), p13_3(t) => Initi
al(p13_3(t)), q12_2(t) => Initial(q12_2(t)), lam8(t) => Initial(lam8(t)), p
17_1(t) => Initial(p17_1(t))…), Dict{Any, Any}(Initial(q8_2(t)) => 0.0, Ini
tial(q1_1ˍtt(t)) => false, Initial(p17_1ˍtt(t)) => false, Initial(q2_2ˍt(t)
) => false, Initial(q9_1ˍtt(t)) => false, Initial(q13_3ˍt(t)) => false, Ini
tial(p11_2ˍt(t)) => false, Initial(p10_2ˍt(t)) => false, Initial(p6_2ˍt(t))
 => false, Initial(p13_2(t)) => -0.39637251901583237…), Dict{Any, Any}(), S
ymbolics.Equation[], true, ModelingToolkit.ReconstructInitializeprob{Modeli
ngToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, Mod
elingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54
b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothi
ng}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}},
 Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFunction{t
ypeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunction{Sy
mbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunc
tionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd,
 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b
065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}(ModelingTool
kit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstructorAp
plicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingT
oolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Run
timeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToo
lkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x6
34867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___
, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag"
, (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}}}}
, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Retur
ns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}((ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}(identity) ∘ ModelingToolkit.ObservedWrappe
r{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___,
 :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag",
 (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408
bb6), Nothing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), Run
timeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparam
eters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Not
hing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d
, 0x14408bb6), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag
", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 
0x413b347f, 0xc880802d), Nothing}(nothing), RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa8679da
b, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}(nothing))), Re
turns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}(Float64[])
, Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{Tuple{}}(()))), ident
ity ∘ SymbolicIndexingInterface.TimeDependentObservedFunction{SymbolicIndex
ingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunctionWrapper
{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0
, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64
b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}(SymbolicIndexingInterface
.ContinuousTimeseries(), ModelingToolkit.GeneratedFunctionWrapper{(2, 3, tr
ue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___
mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.v
ar"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b99
26), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, 
:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x
1b4ffc4d, 0x9383e45b), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}(nothing), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t
), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0
x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}(nothin
g)))), ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndepende
ntObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpar
ameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothi
ng}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg
_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00
c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParametersGetter{Sym
bolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterfa
ce.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initial
s, Int64}}}, Nothing}}(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0  …  1, 1, 1, 1, 1,
 1, 1, 1, 1, 1], SymbolicIndexingInterface.TimeIndependentObservedFunction{
ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7c
, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenerat
edFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamete
rs___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag
", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}}
(ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7
c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTa
g", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}
(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkp
arameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Not
hing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}(nothing))), SymbolicIndexingInterface.Multiple
ParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{Sym
bolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}}, Nothing}(SymbolicIndexingInterface.GetPara
meterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}
[SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}(SciMLStructures.Initials(), 267, false)), SymbolicI
ndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}(SciMLStructures.Initials(), 380, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 86, false)), SymbolicIndexingInterface.GetP
arameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int6
4}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLSt
ructures.Initials(), 92, false)), SymbolicIndexingInterface.GetParameterInd
ex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.In
itials(), 359, false)), SymbolicIndexingInterface.GetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
206, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 10, false)
), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterInd
ex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLSt
ructures.Initials, Int64}(SciMLStructures.Initials(), 76, false)), Symbolic
IndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 38, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 172, false))  …  SymbolicIndexingInterface.
GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, 
Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(Sci
MLStructures.Initials(), 27, false)), SymbolicIndexingInterface.GetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 259, false)), SymbolicIndexingInterface.GetParameterIndex{Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials
(), 254, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Paramet
erIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 36, fa
lse)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.Paramete
rIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}(SciMLStructures.Initials(), 23, false)), Symb
olicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 237, false)), SymbolicIndexi
ngInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}(SciMLStructures.Initials(), 215, false)), SymbolicIndexingInterfac
e.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 117, false)), SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStruct
ures.Initials(), 45, false)), SymbolicIndexingInterface.GetParameterIndex{M
odelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initia
ls(), 294, false))], nothing)), ModelingToolkit.SetInitialUnknowns{Symbolic
IndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Paramete
rHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Pa
rameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic
{Real}}}}}(SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexin
gInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex
{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symbolic
Utils.BasicSymbolic{Real}}}}(SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}[Symb
olicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 267, false)), Initial(p10_2(t))), SymbolicIndexingInterface.P
arameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicS
ymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.
ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterI
ndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 380, fals
e)), Initial(p10_3(t))), SymbolicIndexingInterface.ParameterHookWrapper{Sym
bolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symbolic
IndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 86, false)), Initial(p11_2(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 92, false)), Initial(p11_3(t))), SymbolicIndexingInterfa
ce.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.Ba
sicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTool
kit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 359, 
false)), Initial(p12_2(t))), SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symb
olicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 206, false)), Initial(p12_3(
t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciM
LStructures.Initials(), 10, false)), Initial(p13_2(t))), SymbolicIndexingIn
terface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Mo
delingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUti
ls.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
76, false)), Initial(p13_3(t))), SymbolicIndexingInterface.ParameterHookWra
pper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterI
ndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(
SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{
SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruc
tures.Initials, Int64}(SciMLStructures.Initials(), 38, false)), Initial(p14
_2(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInt
erface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterfac
e.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 172, false)), Initial(p14_3(t)))  …  SymbolicInd
exingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterI
ndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symb
olicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initi
als(), 27, false)), Initial(p1_1ˍtt(t))), SymbolicIndexingInterface.Paramet
erHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymboli
c{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{S
ciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 259, false)), I
nitial(p20_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 254, false)), Initial(p2_1ˍtt(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 36, false)), Initial(p3_1ˍtt(t))), SymbolicIndexingInter
face.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Model
ingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.
BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTo
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oolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 
0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(
:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3
bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}), FunctionWrappers.FunctionWrappe
r{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.Ordinar
yDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag
{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, ModelingToolkit.MTKP
arameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector
{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, Float64}}(Ptr{Nothing} @0x0
0007fcaf3a212b0, Ptr{Nothing} @0x00007fcb5c86c038, Base.RefValue{SciMLBase.
Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerate
dFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t
), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0
x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Runti
meGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mt
kparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var
"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0
), Nothing}}}}(SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 
3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingTool
kit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xa
b7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋
out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_Mod
Tag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee
6, 0x8b759b0c, 0x83cc6de0), Nothing}}}(ModelingToolkit.GeneratedFunctionWra
pper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__m
tk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Mod
elingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b0
59e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunc
tion{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 
0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}(RuntimeGeneratedFunctions.Ru
ntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x
3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}(nothing), RuntimeGe
neratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpar
ameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_R
GF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), N
othing}(nothing)))), SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrappe
r{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modeli
ngToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e
9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_R
GF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7
ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}), FunctionWrappers.FunctionWra
pper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.Ordi
naryDiffEqTag, Float64}, Float64, 1}}, Vector{Float64}, ModelingToolkit.MTK
Parameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vecto
r{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDi
ff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}(Ptr{Nothing} @
0x00007fcaf3a37770, Ptr{Nothing} @0x00007fcb69e70010, Base.RefValue{SciMLBa
se.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___,
 :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag",
 (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6
de0), Nothing}}}}(SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(
2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg
_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingT
oolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 
0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(
:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3
bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}(ModelingToolkit.GeneratedFunction
Wrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", 
ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x7
5b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedF
unction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.v
ar"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c5
4, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}(RuntimeGeneratedFunctions
.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Modelin
gToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316,
 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}(nothing), Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0)
, Nothing}(nothing)))), SciMLBase.Void{ModelingToolkit.GeneratedFunctionWra
pper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__m
tk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Mod
elingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b0
59e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunc
tion{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 
0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}), FunctionWrappers.Function
Wrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.O
rdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDi
ff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, ModelingToolki
t.MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, 
Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{Forw
ardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}(Ptr{Nothi
ng} @0x00007fcaf3a8adc0, Ptr{Nothing} @0x00007fcb69e70028, Base.RefValue{Sc
iMLBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), Runtime
GeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameter
s___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mod
Tag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing
}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1
, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToo
lkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x
83cc6de0), Nothing}}}}(SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrap
per{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mt
k_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Mode
lingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b05
9e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunct
ion{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#
_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0
x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}(ModelingToolkit.GeneratedFun
ctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFuncti
on{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModT
ag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0
, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGener
atedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6
265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}(RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66ac
f316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}(nothing), R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :_
__mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit
.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc
6de0), Nothing}(nothing)))), SciMLBase.Void{ModelingToolkit.GeneratedFuncti
onWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{
(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0
x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit
.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265
c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}}}))), [1.0 0.0 … 0.0 0.0
; 0.0 1.0 … 0.0 0.0; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0], nothing, no
thing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothi
ng, nothing, nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit
.ODESystem}(Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), Dict{Any, Any}(), false, false, Model
ingToolkit, false, true), nothing, Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), SciMLBase.OverrideInitData{SciMLBase.
NonlinearLeastSquaresProblem{Vector{Float64}, true, ModelingToolkit.MTKPara
meters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Flo
at64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{tr
ue, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79f
c2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41, 0x11c
afd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, No
thing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSyste
m}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64}, Nothing}, Ba
se.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, Nothing}, typeo
f(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunctio
n{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingIn
terface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWr
apper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__
mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Modeli
ngToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b14
4, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_M
odTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fd
a4d, 0x9cc206c8, 0xece1a91b), Nothing}}}}, ModelingToolkit.var"#initprobpma
p_split#810"{ModelingToolkit.var"#_getter#806"{Tuple{Returns{StaticArraysCo
re.SizedVector{0, Float64, Vector{Float64}}}, ComposedFunction{ModelingTool
kit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapp
er{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters__
_), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (
0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, Runt
imeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), 
Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}}, Model
ingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob
{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.P
ConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{tr
ue, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6)
, Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Floa
t64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFun
ction{typeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunc
tion{SymbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.Genera
tedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada
, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}, Mode
lingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndependentObservedF
unction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
f527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), No
thing}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexi
ngInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}}
, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.M
ultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}}, Val{tr
ue}}(SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Modeling
Toolkit.MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Floa
t64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.Nonli
nearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunct
ionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", M
odelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x42
0c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFu
nction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_
RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0x
e783be41, 0x11cafd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{
Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothi
ng, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit
.NonlinearSystem}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64
}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, 
Nothing}(SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x27
3d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
dedf71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}}, Linea
rAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunct
ionCache{ModelingToolkit.NonlinearSystem}, Nothing, ModelingToolkit.Nonline
arSystem, Vector{Float64}, Nothing}(ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0
x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41,
 0x11cafd93, 0xd588605e), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF
_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49
901f8, 0x420c0f66, 0x7c79fc2e), Nothing}(nothing), RuntimeGeneratedFunction
s.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf
71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}(nothing)), 
LinearAlgebra.UniformScaling{Bool}(true), nothing, nothing, nothing, nothin
g, nothing, nothing, nothing, nothing, nothing, nothing, ModelingToolkit.Ob
servedFunctionCache{ModelingToolkit.NonlinearSystem}(Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), Dict{Any, Any}(Any[p20_1ˍtt(t), p5_1
ˍtt(t), p9_1ˍt(t), p8_1ˍtt(t), p3_1ˍtt(t), p18_1ˍt(t), p15_1ˍtt(t), p18_1ˍt
t(t), p6_1ˍt(t), p2_1ˍtt(t)  …  p19_1ˍt(t), p10_1ˍtt(t), p4_1ˍtt(t), p3_1ˍt
(t), p5_1ˍt(t), p11_1ˍtt(t), p4_1ˍt(t), p16_1ˍtt(t), p7_1ˍt(t), p1_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa620
2ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0xca74876d, 0x618456e2), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xa6202ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0x
ca74876d, 0x618456e2), Nothing}(nothing)), SymbolicUtils.BasicSymbolic{Real
}[p10_2(t), p10_3(t), p11_2(t), p11_3(t), p12_2(t), p12_3(t), p13_2(t), p13
_3(t), p14_2(t), p14_3(t)  …  p1_1ˍtt(t), p20_1ˍtt(t), p2_1ˍtt(t), p3_1ˍtt(
t), p4_1ˍtt(t), p5_1ˍtt(t), p6_1ˍtt(t), p7_1ˍtt(t), p8_1ˍtt(t), p9_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46
afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x
9cc206c8, 0xece1a91b), Nothing}(nothing))), false, false, ModelingToolkit, 
false, true), nothing, Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 
0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], nothin
g), [0.0, 0.0, -5.033861372906908, 3.484319431960476], ModelingToolkit.MTKP
arameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{
Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}([0.0, 0.0, 0.0, 0.0, 0.0, 0.
0, 0.0, 0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.2759922279796341, 0.0, 0.0, 0.0,
 0.0, 0.0, 0.3826834323650898], Float64[], (), (), (), ()), nothing, nothin
g, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}()), ModelingToolkit.
update_initializeprob!, identity ∘ ModelingToolkit.safe_float ∘ SymbolicInd
exingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFun
ctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFuncti
on{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0x
f0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 
0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}}(ModelingToolkit.GeneratedFu
nctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunct
ion{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0
xf0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var
"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57,
 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}(RuntimeGeneratedFunctions.R
untimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e
532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}(nothing), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparame
ters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}
(nothing))), ModelingToolkit.var"#initprobpmap_split#810"{ModelingToolkit.v
ar"#_getter#806"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vec
tor{Float64}}}, ComposedFunction{ModelingToolkit.PConstructorApplicator{typ
eof(identity)}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Gene
ratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGenerat
edFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f
54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeG
eneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5
363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}},
 Returns{Tuple{}}, Returns{Tuple{}}}}}(ModelingToolkit.var"#_getter#806"{Tu
ple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Com
posedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, Mod
elingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0
xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f,
 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, 
Returns{Tuple{}}}}((Returns{StaticArraysCore.SizedVector{0, Float64, Vector
{Float64}}}(Float64[]), ModelingToolkit.PConstructorApplicator{typeof(ident
ity)}(identity) ∘ ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Ge
neratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGener
atedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca
4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0x
e5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}(ModelingToolkit.G
eneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGene
ratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_R
GF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xc
a4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingT
oolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0
xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}(RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mod
elingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22
ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}(nothing), Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368)
, Nothing}(nothing))), Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{
Tuple{}}(())))), ModelingToolkit.InitializationMetadata{ModelingToolkit.Rec
onstructInitializeprob{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunc
tion{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingTool
kit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, t
rue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc8808
02d), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0
x3046654d, 0x14408bb6), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0
, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{T
uple{}}}}, ComposedFunction{typeof(identity), SymbolicIndexingInterface.Tim
eDependentObservedFunction{SymbolicIndexingInterface.ContinuousTimeseries, 
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c05
4df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), No
thing}}, true}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.Ti
meIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a
126), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParameter
sGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicInde
xingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructu
res.Initials, Int64}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{Symbo
licIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}}}}}(Dict{Any, Any}(p4_3(t) => Initial(p4_3(t)), p16_2(t) => Init
ial(p16_2(t)), p8_3(t) => Initial(p8_3(t)), p11_2(t) => Initial(p11_2(t)), 
p2_3(t) => Initial(p2_3(t)), p8_1(t) => Initial(p8_1(t)), p13_3(t) => Initi
al(p13_3(t)), q12_2(t) => Initial(q12_2(t)), lam8(t) => Initial(lam8(t)), p
17_1(t) => Initial(p17_1(t))…), Dict{Any, Any}(Initial(q8_2(t)) => 0.0, Ini
tial(q1_1ˍtt(t)) => false, Initial(p17_1ˍtt(t)) => false, Initial(q2_2ˍt(t)
) => false, Initial(q9_1ˍtt(t)) => false, Initial(q13_3ˍt(t)) => false, Ini
tial(p11_2ˍt(t)) => false, Initial(p10_2ˍt(t)) => false, Initial(p6_2ˍt(t))
 => false, Initial(p13_2(t)) => -0.39637251901583237…), Dict{Any, Any}(), S
ymbolics.Equation[], true, ModelingToolkit.ReconstructInitializeprob{Modeli
ngToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, Mod
elingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54
b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothi
ng}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}},
 Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFunction{t
ypeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunction{Sy
mbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunc
tionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd,
 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b
065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}(ModelingTool
kit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstructorAp
plicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingT
oolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Run
timeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToo
lkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x6
34867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___
, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag"
, (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}}}}
, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Retur
ns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}((ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}(identity) ∘ ModelingToolkit.ObservedWrappe
r{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___,
 :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag",
 (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408
bb6), Nothing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), Run
timeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparam
eters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Not
hing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d
, 0x14408bb6), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag
", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 
0x413b347f, 0xc880802d), Nothing}(nothing), RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa8679da
b, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}(nothing))), Re
turns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}(Float64[])
, Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{Tuple{}}(()))), ident
ity ∘ SymbolicIndexingInterface.TimeDependentObservedFunction{SymbolicIndex
ingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunctionWrapper
{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0
, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64
b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}(SymbolicIndexingInterface
.ContinuousTimeseries(), ModelingToolkit.GeneratedFunctionWrapper{(2, 3, tr
ue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___
mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.v
ar"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b99
26), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, 
:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x
1b4ffc4d, 0x9383e45b), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}(nothing), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t
), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0
x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}(nothin
g)))), ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndepende
ntObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpar
ameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothi
ng}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg
_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00
c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParametersGetter{Sym
bolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterfa
ce.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initial
s, Int64}}}, Nothing}}(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0  …  1, 1, 1, 1, 1,
 1, 1, 1, 1, 1], SymbolicIndexingInterface.TimeIndependentObservedFunction{
ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7c
, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenerat
edFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamete
rs___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag
", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}}
(ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7
c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTa
g", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}
(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkp
arameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Not
hing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}(nothing))), SymbolicIndexingInterface.Multiple
ParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{Sym
bolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}}, Nothing}(SymbolicIndexingInterface.GetPara
meterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}
[SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}(SciMLStructures.Initials(), 267, false)), SymbolicI
ndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}(SciMLStructures.Initials(), 380, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 86, false)), SymbolicIndexingInterface.GetP
arameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int6
4}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLSt
ructures.Initials(), 92, false)), SymbolicIndexingInterface.GetParameterInd
ex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.In
itials(), 359, false)), SymbolicIndexingInterface.GetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
206, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 10, false)
), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterInd
ex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLSt
ructures.Initials, Int64}(SciMLStructures.Initials(), 76, false)), Symbolic
IndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 38, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 172, false))  …  SymbolicIndexingInterface.
GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, 
Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(Sci
MLStructures.Initials(), 27, false)), SymbolicIndexingInterface.GetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 259, false)), SymbolicIndexingInterface.GetParameterIndex{Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials
(), 254, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Paramet
erIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 36, fa
lse)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.Paramete
rIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}(SciMLStructures.Initials(), 23, false)), Symb
olicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 237, false)), SymbolicIndexi
ngInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}(SciMLStructures.Initials(), 215, false)), SymbolicIndexingInterfac
e.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 117, false)), SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStruct
ures.Initials(), 45, false)), SymbolicIndexingInterface.GetParameterIndex{M
odelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initia
ls(), 294, false))], nothing)), ModelingToolkit.SetInitialUnknowns{Symbolic
IndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Paramete
rHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Pa
rameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic
{Real}}}}}(SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexin
gInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex
{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symbolic
Utils.BasicSymbolic{Real}}}}(SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}[Symb
olicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 267, false)), Initial(p10_2(t))), SymbolicIndexingInterface.P
arameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicS
ymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.
ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterI
ndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 380, fals
e)), Initial(p10_3(t))), SymbolicIndexingInterface.ParameterHookWrapper{Sym
bolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symbolic
IndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 86, false)), Initial(p11_2(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 92, false)), Initial(p11_3(t))), SymbolicIndexingInterfa
ce.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.Ba
sicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTool
kit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 359, 
false)), Initial(p12_2(t))), SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symb
olicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 206, false)), Initial(p12_3(
t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciM
LStructures.Initials(), 10, false)), Initial(p13_2(t))), SymbolicIndexingIn
terface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Mo
delingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUti
ls.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
76, false)), Initial(p13_3(t))), SymbolicIndexingInterface.ParameterHookWra
pper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterI
ndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(
SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{
SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruc
tures.Initials, Int64}(SciMLStructures.Initials(), 38, false)), Initial(p14
_2(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInt
erface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterfac
e.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 172, false)), Initial(p14_3(t)))  …  SymbolicInd
exingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterI
ndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symb
olicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initi
als(), 27, false)), Initial(p1_1ˍtt(t))), SymbolicIndexingInterface.Paramet
erHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymboli
c{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{S
ciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 259, false)), I
nitial(p20_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 254, false)), Initial(p2_1ˍtt(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 36, false)), Initial(p3_1ˍtt(t))), SymbolicIndexingInter
face.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Model
ingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.
BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Para
meterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 23,
 false)), Initial(p4_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrap
per{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(S
ymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{S
ciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}(SciMLStructures.Initials(), 237, false)), Initial(p5_
1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingI
nterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.I
nitials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
(SciMLStructures.Initials(), 215, false)), Initial(p6_1ˍtt(t))), SymbolicIn
dexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameter
Index{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Sym
bolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex
{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingT
oolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Init
ials(), 117, false)), Initial(p7_1ˍtt(t))), SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Para
meterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 45, false)), 
Initial(p8_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 294, false)), Initial(p9_1ˍtt(t)))]
))), Val{true}()), nothing), [0.09988894819708992, 0.3826834323650898, 0.91
09909992588205, -0.40673664307580015, 0.5146184802429882, -0.40673664307580
015, -0.39637251901583237, -0.40673664307580015, -0.9109909992588205, -0.40
673664307580015  …  -2.9842341509894617, 1.092262886230266, -1.200608032206
675, 4.175891999514561, 4.683210670492554, -2.842932844578383, -8.372194075
591601, -7.485794633780495, -1.0013590596682649, 6.169954996728397], Modeli
ngToolkit.MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Flo
at64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}(Float64[], [0.
0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.39637251901583237  …  0.0, 0.
0, 0.0, 0.2759922279796341, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3826834323650898], (
), (), (), ())), SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{tru
e, SciMLBase.AutoSpecialize, FunctionWrappersWrappers.FunctionWrappersWrapp
er{Tuple{FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}, V
ector{Float64}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector{
0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, T
uple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{
ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Fl
oat64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiff
EqTag, Float64}, Float64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCo
re.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tupl
e{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing
, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTa
g, Float64}, Float64, 1}}, Vector{Float64}, ModelingToolkit.MTKParameters{S
taticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, 
Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffE
qBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}, FunctionWrappers.Function
Wrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.O
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ff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, ModelingToolki
t.MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, 
Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{Forw
ardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}}, false},
 LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Nothing, Nothing, Nothin
g, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, 
Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.ODESystem}, 
Nothing, ModelingToolkit.ODESystem, SciMLBase.OverrideInitData{SciMLBase.No
nlinearLeastSquaresProblem{Vector{Float64}, true, ModelingToolkit.MTKParame
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, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2,
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___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.va
r"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2
e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :
__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mode
lingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41, 0x11caf
d93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, N
othing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Noth
ing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSystem}
, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64}, Nothing}, Base
.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, Nothing}, typeof(
ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{
typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInte
rface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrap
per{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mt
k_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Modeling
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 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{
(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_Mod
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t.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper
{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGener
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d9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
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gToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{M
odelingToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PCo
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nction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b7
96c0, 0x75b059e9, 0xab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunctions
.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t),
 ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x8
854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(nothing)
))), SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), 
RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpa
rameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), 
Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mt
k_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Mode
lingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759
b0c, 0x83cc6de0), Nothing}}}), FunctionWrappers.FunctionWrapper{Nothing, Tu
ple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, F
loat64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.O
rdinaryDiffEqTag, Float64}, Float64, 1}}, ModelingToolkit.MTKParameters{Sta
ticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tu
ple{}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqB
ase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}(Ptr{Nothing} @0x00007fcaf3a8
adc0, Ptr{Nothing} @0x00007fcb69e70028, Base.RefValue{SciMLBase.Void{Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Modeling
Toolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 
0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}, RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters
___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}
}}}(SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpar
ameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_R
GF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f4b), N
othing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk
_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Model
ingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b
0c, 0x83cc6de0), Nothing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3,
 true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :
___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolki
t.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7
d3f4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋ou
t, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6,
 0x8b759b0c, 0x83cc6de0), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#
_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0
xa5b796c0, 0x75b059e9, 0xab7d3f4b), Nothing}(nothing), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___,
 :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag",
 (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x8b759b0c, 0x83cc6de0), Nothing}(not
hing)))), SciMLBase.Void{ModelingToolkit.GeneratedFunctionWrapper{(2, 3, tr
ue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___
mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.v
ar"#_RGF_ModTag", (0x66acf316, 0x3bb2781f, 0xa5b796c0, 0x75b059e9, 0xab7d3f
4b), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, 
:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0x8854662e, 0xc6265c54, 0x7ea3bee6, 0x
8b759b0c, 0x83cc6de0), Nothing}}}))), [1.0 0.0 … 0.0 0.0; 0.0 1.0 … 0.0 0.0
; … ; 0.0 0.0 … 0.0 0.0; 0.0 0.0 … 0.0 0.0], nothing, nothing, nothing, not
hing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothin
g, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.ODESystem}(Model s
ys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), Dict{Any, Any}(), false, false, Model
ingToolkit, false, true), nothing, Model sys_raw:
Equations (160):
  160 standard: see equations(sys_raw)
Unknowns (160): see unknowns(sys_raw)
  p10_2(t) [defaults to 0.0998889]
  p10_3(t) [defaults to 0.382683]
  p11_2(t) [defaults to 0.910991]
  p11_3(t) [defaults to -0.406737]
  ⋮
Observed (80): see observed(sys_raw), SciMLBase.OverrideInitData{SciMLBase.
NonlinearLeastSquaresProblem{Vector{Float64}, true, ModelingToolkit.MTKPara
meters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Flo
at64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{tr
ue, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79f
c2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41, 0x11c
afd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, No
thing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSyste
m}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64}, Nothing}, Ba
se.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, Nothing}, typeo
f(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunctio
n{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingIn
terface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWr
apper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__
mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Modeli
ngToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b14
4, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_M
odTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fd
a4d, 0x9cc206c8, 0xece1a91b), Nothing}}}}, ModelingToolkit.var"#initprobpma
p_split#810"{ModelingToolkit.var"#_getter#806"{Tuple{Returns{StaticArraysCo
re.SizedVector{0, Float64, Vector{Float64}}}, ComposedFunction{ModelingTool
kit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapp
er{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters__
_), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (
0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, Runt
imeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), 
Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}}, Model
ingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob
{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.P
ConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{tr
ue, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6)
, Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Floa
t64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFun
ction{typeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunc
tion{SymbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.Genera
tedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada
, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}, Mode
lingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndependentObservedF
unction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
f527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, Runtim
eGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtk
parameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), No
thing}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexi
ngInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}}
, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.M
ultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}}, Val{tr
ue}}(SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Modeling
Toolkit.MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Floa
t64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.Nonli
nearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunct
ionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", M
odelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x42
0c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFu
nction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_
RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0x
e783be41, 0x11cafd93, 0xd588605e), Nothing}}, LinearAlgebra.UniformScaling{
Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothi
ng, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit
.NonlinearSystem}, Nothing, ModelingToolkit.NonlinearSystem, Vector{Float64
}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, Nothing, 
Nothing}(SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Modeli
ngToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.
RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x27
3d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2e), Nothing}, RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___)
, ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x
dedf71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}}, Linea
rAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing,
 Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunct
ionCache{ModelingToolkit.NonlinearSystem}, Nothing, ModelingToolkit.Nonline
arSystem, Vector{Float64}, Nothing}(ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0
x7c79fc2e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0xdedf71c6, 0x53f9b161, 0xe783be41,
 0x11cafd93, 0xd588605e), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF
_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1a848946, 0x273d32eb, 0xa49
901f8, 0x420c0f66, 0x7c79fc2e), Nothing}(nothing), RuntimeGeneratedFunction
s.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xdedf
71c6, 0x53f9b161, 0xe783be41, 0x11cafd93, 0xd588605e), Nothing}(nothing)), 
LinearAlgebra.UniformScaling{Bool}(true), nothing, nothing, nothing, nothin
g, nothing, nothing, nothing, nothing, nothing, nothing, ModelingToolkit.Ob
servedFunctionCache{ModelingToolkit.NonlinearSystem}(Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), Dict{Any, Any}(Any[p20_1ˍtt(t), p5_1
ˍtt(t), p9_1ˍt(t), p8_1ˍtt(t), p3_1ˍtt(t), p18_1ˍt(t), p15_1ˍtt(t), p18_1ˍt
t(t), p6_1ˍt(t), p2_1ˍtt(t)  …  p19_1ˍt(t), p10_1ˍtt(t), p4_1ˍtt(t), p3_1ˍt
(t), p5_1ˍt(t), p11_1ˍtt(t), p4_1ˍt(t), p16_1ˍtt(t), p7_1ˍt(t), p1_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa620
2ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0xca74876d, 0x618456e2), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xa6202ccd, 0xf3471c0a, 0x806a4e9e, 0x27010ef6, 0x4d92f413), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb2582de2, 0xbaa1954f, 0x8ae0d6a8, 0x
ca74876d, 0x618456e2), Nothing}(nothing)), SymbolicUtils.BasicSymbolic{Real
}[p10_2(t), p10_3(t), p11_2(t), p11_3(t), p12_2(t), p12_3(t), p13_2(t), p13
_3(t), p14_2(t), p14_3(t)  …  p1_1ˍtt(t), p20_1ˍtt(t), p2_1ˍtt(t), p3_1ˍtt(
t), p4_1ˍtt(t), p5_1ˍtt(t), p6_1ˍtt(t), p7_1ˍtt(t), p8_1ˍtt(t), p9_1ˍtt(t)]
 => ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGenerated
Functions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46
afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_Mo
dTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothin
g}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___m
tkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_
RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), 
Nothing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋o
ut, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x
9cc206c8, 0xece1a91b), Nothing}(nothing))), false, false, ModelingToolkit, 
false, true), nothing, Model sys_raw:
Equations (64):
  64 standard: see equations(sys_raw)
Unknowns (4): see unknowns(sys_raw)
  p16_1ˍt(t) [defaults to 0.823076]
  p20_1ˍt(t) [defaults to 0.108005]
  q15_2ˍt(t) [defaults to 0.0]
  q6_3ˍt(t) [defaults to 0.0]
Parameters (381): see parameters(sys_raw)
  t
  Initial(q8_2(t)) [defaults to false]
  Initial(q2_2ˍt(t)) [defaults to false]
  Initial(q13_3ˍt(t)) [defaults to false]
  ⋮
Observed (236): see observed(sys_raw), [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 
0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], nothin
g), [0.0, 0.0, -5.033861372906908, 3.484319431960476], ModelingToolkit.MTKP
arameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{
Float64}}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}([0.0, 0.0, 0.0, 0.0, 0.0, 0.
0, 0.0, 0.0, 0.0, 0.0  …  0.0, 0.0, 0.0, 0.2759922279796341, 0.0, 0.0, 0.0,
 0.0, 0.0, 0.3826834323650898], Float64[], (), (), (), ()), nothing, nothin
g, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}()), ModelingToolkit.
update_initializeprob!, identity ∘ ModelingToolkit.safe_float ∘ SymbolicInd
exingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFun
ctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFuncti
on{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0x
f0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"
#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57, 
0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}}(ModelingToolkit.GeneratedFu
nctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunct
ion{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e532bd, 0x917c579f, 0
xf0c4b144, 0x047573fa), Nothing}, RuntimeGeneratedFunctions.RuntimeGenerate
dFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var
"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb8266bdb, 0x8c2d0d57,
 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}}(RuntimeGeneratedFunctions.R
untimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff46afda, 0x96e
532bd, 0x917c579f, 0xf0c4b144, 0x047573fa), Nothing}(nothing), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparame
ters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModT
ag", (0xb8266bdb, 0x8c2d0d57, 0x3f9fda4d, 0x9cc206c8, 0xece1a91b), Nothing}
(nothing))), ModelingToolkit.var"#initprobpmap_split#810"{ModelingToolkit.v
ar"#_getter#806"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vec
tor{Float64}}}, ComposedFunction{ModelingToolkit.PConstructorApplicator{typ
eof(identity)}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Gene
ratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGenerat
edFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_
ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f
54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeG
eneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTool
kit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5
363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}},
 Returns{Tuple{}}, Returns{Tuple{}}}}}(ModelingToolkit.var"#_getter#806"{Tu
ple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Com
posedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, Mod
elingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrappe
r{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_
arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingTo
olkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0
xe3033bdb), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:
ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f,
 0x81c677fc, 0x2d4cd368), Nothing}}}}, Returns{Tuple{}}, Returns{Tuple{}}, 
Returns{Tuple{}}}}((Returns{StaticArraysCore.SizedVector{0, Float64, Vector
{Float64}}}(Float64[]), ModelingToolkit.PConstructorApplicator{typeof(ident
ity)}(identity) ∘ ModelingToolkit.ObservedWrapper{false, ModelingToolkit.Ge
neratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGener
atedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xca
4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runtim
eGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingTo
olkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0x
e5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}}(ModelingToolkit.G
eneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGene
ratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_R
GF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22ac5, 0xaa2d620c, 0xc
a4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}, RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingT
oolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x73396493, 0
xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368), Nothing}}(RuntimeGeneratedF
unctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Mod
elingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xd9f22
ac5, 0xaa2d620c, 0xca4f54f8, 0xf8daf6a5, 0xe3033bdb), Nothing}(nothing), Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"
#_RGF_ModTag", (0x73396493, 0xe5363400, 0xe61eb80f, 0x81c677fc, 0x2d4cd368)
, Nothing}(nothing))), Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{
Tuple{}}(())))), ModelingToolkit.InitializationMetadata{ModelingToolkit.Rec
onstructInitializeprob{ModelingToolkit.var"#_getter#806"{Tuple{ComposedFunc
tion{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingTool
kit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, t
rue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc8808
02d), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag"
, ModelingToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0
x3046654d, 0x14408bb6), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0
, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, Returns{T
uple{}}}}, ComposedFunction{typeof(identity), SymbolicIndexingInterface.Tim
eDependentObservedFunction{SymbolicIndexingInterface.ContinuousTimeseries, 
ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Mo
delingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c05
4df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGen
eratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkpara
meters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RG
F_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), No
thing}}, true}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.Ti
meIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 
2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1,
 :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a
126), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParameter
sGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicInde
xingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructu
res.Initials, Int64}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{Symbo
licIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}}}}}(Dict{Any, Any}(p4_3(t) => Initial(p4_3(t)), p16_2(t) => Init
ial(p16_2(t)), p8_3(t) => Initial(p8_3(t)), p11_2(t) => Initial(p11_2(t)), 
p2_3(t) => Initial(p2_3(t)), p8_1(t) => Initial(p8_1(t)), p13_3(t) => Initi
al(p13_3(t)), q12_2(t) => Initial(q12_2(t)), lam8(t) => Initial(lam8(t)), p
17_1(t) => Initial(p17_1(t))…), Dict{Any, Any}(Initial(q8_2(t)) => 0.0, Ini
tial(q1_1ˍtt(t)) => false, Initial(p17_1ˍtt(t)) => false, Initial(q2_2ˍt(t)
) => false, Initial(q9_1ˍtt(t)) => false, Initial(q13_3ˍt(t)) => false, Ini
tial(p11_2ˍt(t)) => false, Initial(p10_2ˍt(t)) => false, Initial(p6_2ˍt(t))
 => false, Initial(p13_2(t)) => -0.39637251901583237…), Dict{Any, Any}(), S
ymbolics.Equation[], true, ModelingToolkit.ReconstructInitializeprob{Modeli
ngToolkit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, Mod
elingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54
b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothi
ng}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}},
 Returns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}, ComposedFunction{t
ypeof(identity), SymbolicIndexingInterface.TimeDependentObservedFunction{Sy
mbolicIndexingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunc
tionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunctio
n{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTa
g", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd,
 0x8b9585b0, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGenera
tedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolk
it.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b
065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}}}(ModelingTool
kit.var"#_getter#806"{Tuple{ComposedFunction{ModelingToolkit.PConstructorAp
plicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingT
oolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.Run
timeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToo
lkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x6
34867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___
, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag"
, (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}}}}
, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Retur
ns{Tuple{}}, Returns{Tuple{}}, Returns{Tuple{}}}}((ModelingToolkit.PConstru
ctorApplicator{typeof(identity)}(identity) ∘ ModelingToolkit.ObservedWrappe
r{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGener
atedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___,
 :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag",
 (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Nothing}, Ru
ntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :__
_mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.
var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408
bb6), Nothing}}}(ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), Run
timeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparam
eters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 0x413b347f, 0xc880802d), Not
hing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0xa8679dab, 0x0a3e799c, 0xadb0e013, 0x3046654d
, 0x14408bb6), Nothing}}(RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag
", ModelingToolkit.var"#_RGF_ModTag", (0x1ea5f54b, 0x634867e1, 0xfcba7414, 
0x413b347f, 0xc880802d), Nothing}(nothing), RuntimeGeneratedFunctions.Runti
meGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa8679da
b, 0x0a3e799c, 0xadb0e013, 0x3046654d, 0x14408bb6), Nothing}(nothing))), Re
turns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}(Float64[])
, Returns{Tuple{}}(()), Returns{Tuple{}}(()), Returns{Tuple{}}(()))), ident
ity ∘ SymbolicIndexingInterface.TimeDependentObservedFunction{SymbolicIndex
ingInterface.ContinuousTimeseries, ModelingToolkit.GeneratedFunctionWrapper
{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_a
rg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", Modelin
gToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0
, 0xaa6b9926), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction
{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64
b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}}, true}(SymbolicIndexingInterface
.ContinuousTimeseries(), ModelingToolkit.GeneratedFunctionWrapper{(2, 3, tr
ue), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___
mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.v
ar"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x305351dd, 0x8b9585b0, 0xaa6b99
26), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, 
:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag",
 ModelingToolkit.var"#_RGF_ModTag", (0x9aaebada, 0xc0b065f3, 0x64b580ad, 0x
1b4ffc4d, 0x9383e45b), Nothing}}(RuntimeGeneratedFunctions.RuntimeGenerated
Function{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RG
F_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3c054df5, 0x2a2bb003, 0x30
5351dd, 0x8b9585b0, 0xaa6b9926), Nothing}(nothing), RuntimeGeneratedFunctio
ns.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t
), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0
x9aaebada, 0xc0b065f3, 0x64b580ad, 0x1b4ffc4d, 0x9383e45b), Nothing}(nothin
g)))), ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.TimeIndepende
ntObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), R
untimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkpar
ameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_M
odTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothi
ng}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg
_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolk
it.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00
c7565d), Nothing}}}, SymbolicIndexingInterface.MultipleParametersGetter{Sym
bolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterfa
ce.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initial
s, Int64}}}, Nothing}}(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0  …  1, 1, 1, 1, 1,
 1, 1, 1, 1, 1], SymbolicIndexingInterface.TimeIndependentObservedFunction{
ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunc
tions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Modeli
ngToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7c
, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenerat
edFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamete
rs___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag
", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}}
(ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFun
ctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), Model
ingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf527ea7
c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Nothing}, RuntimeGenera
tedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparamet
ers___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTa
g", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x9694e69f, 0x00c7565d), Nothing}}
(RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkp
arameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF
_ModTag", (0xf527ea7c, 0x0bab07fe, 0xbba84ff3, 0x6ad4af77, 0xca71a126), Not
hing}(nothing), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out,
 :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", Mo
delingToolkit.var"#_RGF_ModTag", (0x150967ba, 0x28b4ebb8, 0xe4b6408b, 0x969
4e69f, 0x00c7565d), Nothing}(nothing))), SymbolicIndexingInterface.Multiple
ParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{Sym
bolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}}, Nothing}(SymbolicIndexingInterface.GetPara
meterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}
[SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}(SciMLStructures.Initials(), 267, false)), SymbolicI
ndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStru
ctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}(SciMLStructures.Initials(), 380, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 86, false)), SymbolicIndexingInterface.GetP
arameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int6
4}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLSt
ructures.Initials(), 92, false)), SymbolicIndexingInterface.GetParameterInd
ex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.In
itials(), 359, false)), SymbolicIndexingInterface.GetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 
206, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.P
arameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 10, false)
), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterInd
ex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLSt
ructures.Initials, Int64}(SciMLStructures.Initials(), 76, false)), Symbolic
IndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 38, false)), SymbolicIndexingInt
erface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
tials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int
64}(SciMLStructures.Initials(), 172, false))  …  SymbolicIndexingInterface.
GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, 
Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(Sci
MLStructures.Initials(), 27, false)), SymbolicIndexingInterface.GetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructure
s.Initials(), 259, false)), SymbolicIndexingInterface.GetParameterIndex{Mod
elingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials
(), 254, false)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolk
it.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Paramet
erIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 36, fa
lse)), SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.Paramete
rIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}(SciMLStructures.Initials(), 23, false)), Symb
olicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 237, false)), SymbolicIndexi
ngInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}(SciMLStructures.Initials(), 215, false)), SymbolicIndexingInterfac
e.GetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 117, false)), SymbolicIndexingInterface.GetParam
eterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStruct
ures.Initials(), 45, false)), SymbolicIndexingInterface.GetParameterIndex{M
odelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initia
ls(), 294, false))], nothing)), ModelingToolkit.SetInitialUnknowns{Symbolic
IndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Paramete
rHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Pa
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{Real}}}}}(SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexin
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Utils.BasicSymbolic{Real}}}}(SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
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olicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParamete
rIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(Mod
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arameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToo
lkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicS
ymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.
ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterI
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e)), Initial(p10_3(t))), SymbolicIndexingInterface.ParameterHookWrapper{Sym
bolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{Sci
MLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(Symbolic
IndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStr
uctures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.In
itials, Int64}(SciMLStructures.Initials(), 86, false)), Initial(p11_2(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetPar
ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 92, false)), Initial(p11_3(t))), SymbolicIndexingInterfa
ce.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.Ba
sicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTool
kit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Parame
terIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 359, 
false)), Initial(p12_2(t))), SymbolicIndexingInterface.ParameterHookWrapper
{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex
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olicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciM
LStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructure
s.Initials, Int64}(SciMLStructures.Initials(), 206, false)), Initial(p12_3(
t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
nt64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciM
LStructures.Initials(), 10, false)), Initial(p13_2(t))), SymbolicIndexingIn
terface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Mo
delingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUti
ls.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{Modelin
gToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.P
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76, false)), Initial(p13_3(t))), SymbolicIndexingInterface.ParameterHookWra
pper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterI
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SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruc
tures.Initials, Int64}(SciMLStructures.Initials(), 38, false)), Initial(p14
_2(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInt
erface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Ini
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e.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials
, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(S
ciMLStructures.Initials(), 172, false)), Initial(p14_3(t)))  …  SymbolicInd
exingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterI
ndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Symb
olicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{
ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initi
als(), 27, false)), Initial(p1_1ˍtt(t))), SymbolicIndexingInterface.Paramet
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c{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Parame
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ciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 259, false)), I
nitial(p20_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
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tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 254, false)), Initial(p2_1ˍtt(t))),
 SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.S
etParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, I
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ameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStru
ctures.Initials(), 36, false)), Initial(p3_1ˍtt(t))), SymbolicIndexingInter
face.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{Model
ingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.
BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingTo
olkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.Para
meterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 23,
 false)), Initial(p4_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrap
per{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIn
dex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(S
ymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{S
ciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}(SciMLStructures.Initials(), 237, false)), Initial(p5_
1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingI
nterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.I
nitials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterf
ace.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Initia
ls, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}
(SciMLStructures.Initials(), 215, false)), Initial(p6_1ˍtt(t))), SymbolicIn
dexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameter
Index{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}, Sym
bolicUtils.BasicSymbolic{Real}}(SymbolicIndexingInterface.SetParameterIndex
{ModelingToolkit.ParameterIndex{SciMLStructures.Initials, Int64}}(ModelingT
oolkit.ParameterIndex{SciMLStructures.Initials, Int64}(SciMLStructures.Init
ials(), 117, false)), Initial(p7_1ˍtt(t))), SymbolicIndexingInterface.Param
eterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit
.ParameterIndex{SciMLStructures.Initials, Int64}}, SymbolicUtils.BasicSymbo
lic{Real}}(SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.Para
meterIndex{SciMLStructures.Initials, Int64}}(ModelingToolkit.ParameterIndex
{SciMLStructures.Initials, Int64}(SciMLStructures.Initials(), 45, false)), 
Initial(p8_1ˍtt(t))), SymbolicIndexingInterface.ParameterHookWrapper{Symbol
icIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLS
tructures.Initials, Int64}}, SymbolicUtils.BasicSymbolic{Real}}(SymbolicInd
exingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStruct
ures.Initials, Int64}}(ModelingToolkit.ParameterIndex{SciMLStructures.Initi
als, Int64}(SciMLStructures.Initials(), 294, false)), Initial(p9_1ˍtt(t)))]
))), Val{true}()), nothing), 0.0, ModelingToolkit.MTKParameters{StaticArray
sCore.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, T
uple{}, Tuple{}, Tuple{}}(Float64[], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.
0, 0.0, -0.39637251901583237  …  0.0, 0.0, 0.0, 0.2759922279796341, 0.0, 0.
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r{Float64}, SciMLBase.NullParameters, LinearSolve.DefaultLinearSolver, Line
arSolve.DefaultLinearSolverInit{LinearAlgebra.LU{Float64, Matrix{Float64}, 
Vector{Int64}}, LinearAlgebra.QRCompactWY{Float64, Matrix{Float64}, Matrix{
Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Tuple{Line
arAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Tupl
e{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}
, Nothing, Nothing, Nothing, LinearAlgebra.SVD{Float64, Float64, Matrix{Flo
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LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, Tuple{LinearAlgebra.LU{Fl
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Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, S
ciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLoggi
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Bool, LinearSolve.LinearSolveAdjoint{Missing}}([NaN NaN … NaN NaN; 9.9e-322
 1.06099858e-314 … 1.07963391e-315 9.9e-322; … ; NaN NaN … NaN NaN; 1.06100
03174e-314 1.0609980195e-314 … 1.061001002e-314 8.57958907e-316], [0.0, 0.0
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(), LinearSolve.DefaultLinearSolver(LinearSolve.DefaultAlgorithmChoice.LUFa
ctorization, true, false), LinearSolve.DefaultLinearSolverInit{LinearAlgebr
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oat64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing, Nothin
g, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vecto
r{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64},
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VD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebra.Chole
sky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float
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 Nothing, Matrix{Float64}, Vector{Float64}}(LinearAlgebra.LU{Float64, Matri
x{Float64}, Vector{Int64}}(Matrix{Float64}(undef, 0, 0), Int64[], 0), Linea
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0, 0), Float64[], Int64[]), nothing, nothing, nothing, nothing, nothing, [N
aN NaN … NaN NaN; 9.9e-322 1.06099858e-314 … 1.07963391e-315 9.9e-322; … ; 
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7.9e-322], true, false, false), true, false, LinearSolve.InvPreconditioner{
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lent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLL
ogging.Silent, SciMLLogging.Silent}(SciMLLogging.Silent(), SciMLLogging.Sil
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 SciMLLogging.Silent(), SciMLLogging.Silent(), SciMLLogging.Silent(), SciML
Logging.WarnLevel(), SciMLLogging.WarnLevel(), SciMLLogging.Silent(), SciML
Logging.Silent(), SciMLLogging.Silent(), SciMLLogging.Silent(), SciMLLoggin
g.Silent(), SciMLLogging.Silent()), LinearSolve.OperatorAssumptions{Bool}(t
rue, LinearSolve.OperatorCondition.IllConditioned), LinearSolve.LinearSolve
Adjoint{Missing}(missing)), (DifferentiationInterfaceForwardDiffExt.Forward
DiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{
DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1, Tuple{Vector{ForwardDif
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ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1, Tuple{V
ector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float6
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Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0,0.0), Dual
{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(5.9183278e-316,0.0
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9070735e-316,5.0e-324), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, 
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ag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0,0.0)  …  Dual{ForwardDiff.Ta
g{DiffEqBase.OrdinaryDiffEqTag, Float64}}(NaN,0.0), Dual{ForwardDiff.Tag{Di
ffEqBase.OrdinaryDiffEqTag, Float64}}(9.9071881e-316,5.0e-324), Dual{Forwar
dDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(4.0e-323,NaN), Dual{Forwa
rdDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(9.9071893e-316,2.1219957
91e-314), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(NaN,
NaN), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(NaN,0.0)
, Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(1.3043e-320,
8.7e-322), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0
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78e-316,0.0), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(
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g{DiffEqBase.OrdinaryDiffEqTag, Float64}}(6.2327887e-316,5.0e-324), Dual{Fo
rwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(1.6e-322,6.23278466e-
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e-321), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(1.1011
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OrdinaryDiffEqTag, Float64}}(6.8848459e-316,9.46061483e-316)  …  Dual{Forwa
rdDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0,0.0), Dual{ForwardDi
ff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(5.9183278e-316,0.0), Dual{Fo
rwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(4.3792e-319,1.7453e-3
19), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(3.5e-323,
0.0), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(6.232907
3e-316,2.5e-323), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float6
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)])), ()), DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobian
Prep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.Ordinar
yDiffEqTag, Float64}, Float64, 1, Tuple{Vector{ForwardDiff.Dual{ForwardDiff
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ff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}
}}}, Tuple{}}(Val{Nothing}(), ForwardDiff.JacobianConfig{ForwardDiff.Tag{Di
ffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1, Tuple{Vector{ForwardDiff.
Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, 
Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float
64}, Float64, 1}}}}((Partials(1.0,),), (ForwardDiff.Dual{ForwardDiff.Tag{Di
ffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}[Dual{ForwardDiff.Tag{Diff
EqBase.OrdinaryDiffEqTag, Float64}}(NaN,1.0e-323), Dual{ForwardDiff.Tag{Dif
fEqBase.OrdinaryDiffEqTag, Float64}}(7.9e-322,7.9e-322), Dual{ForwardDiff.T
ag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0,0.0), Dual{ForwardDiff.Tag{D
iffEqBase.OrdinaryDiffEqTag, Float64}}(5.9183278e-316,0.0), Dual{ForwardDif
f.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(4.3851e-319,1.74835e-319), Du
al{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(NaN,0.0), Dual{F
orwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(9.9070735e-316,5.0e-
324), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(4.0e-323
,5.88935943e-316), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float
64}}(9.9070747e-316,2.121995791e-314), Dual{ForwardDiff.Tag{DiffEqBase.Ordi
naryDiffEqTag, Float64}}(0.0,0.0)  …  Dual{ForwardDiff.Tag{DiffEqBase.Ordin
aryDiffEqTag, Float64}}(NaN,0.0), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryD
iffEqTag, Float64}}(9.9071881e-316,5.0e-324), Dual{ForwardDiff.Tag{DiffEqBa
se.OrdinaryDiffEqTag, Float64}}(4.0e-323,NaN), Dual{ForwardDiff.Tag{DiffEqB
ase.OrdinaryDiffEqTag, Float64}}(9.9071893e-316,2.121995791e-314), Dual{For
wardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(NaN,NaN), Dual{Forward
Diff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(NaN,0.0), Dual{ForwardDiff
.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(1.3043e-320,8.7e-322), Dual{Fo
rwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0,0.0), Dual{Forwar
dDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(5.9183278e-316,0.0), Dual
{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(4.38587e-319,1.749
04e-319)], ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, F
loat64}, Float64, 1}[Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Flo
at64}}(0.0,0.0), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64
}}(5.9183278e-316,0.0), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, 
Float64}}(4.37826e-319,1.7447e-319), Dual{ForwardDiff.Tag{DiffEqBase.Ordina
ryDiffEqTag, Float64}}(5.0e-324,0.0), Dual{ForwardDiff.Tag{DiffEqBase.Ordin
aryDiffEqTag, Float64}}(6.2327887e-316,5.0e-324), Dual{ForwardDiff.Tag{Diff
EqBase.OrdinaryDiffEqTag, Float64}}(1.6e-322,6.23278466e-316), Dual{Forward
Diff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(0.0,3.09e-321), Dual{Forwa
rdDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(1.101145686e-315,6.23279
11e-316), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(8.48
7983164e-314,2.93e-321), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag,
 Float64}}(6.8848459e-316,9.46061483e-316)  …  Dual{ForwardDiff.Tag{DiffEqB
ase.OrdinaryDiffEqTag, Float64}}(0.0,0.0), Dual{ForwardDiff.Tag{DiffEqBase.
OrdinaryDiffEqTag, Float64}}(5.9183278e-316,0.0), Dual{ForwardDiff.Tag{Diff
EqBase.OrdinaryDiffEqTag, Float64}}(4.3792e-319,1.7453e-319), Dual{ForwardD
iff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(3.5e-323,0.0), Dual{Forward
Diff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(6.2329073e-316,2.5e-323), 
Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}(4.0e-323,3.826
6238966e-313), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}
(6.23290848e-316,2.121995791e-314), Dual{ForwardDiff.Tag{DiffEqBase.Ordinar
yDiffEqTag, Float64}}(0.0,0.0), Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDif
fEqTag, Float64}}(4.654345586956763e-38,NaN), Dual{ForwardDiff.Tag{DiffEqBa
se.OrdinaryDiffEqTag, Float64}}(1.228918334e-315,4.8e-322)])), ())), (Diffe
rentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Tuple{Sci
MLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.Auto
Specialize, FunctionWrappersWrappers.FunctionWrappersWrapper{Tuple{Function
Wrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}, Vector{Float64}, M
odelingToolkit.MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vecto
r{Float64}}, Vector{Float64}, Tuple{}, Tuple{}, Tuple{}, Tuple{}}, Float64}
}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{
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r{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, 
Float64, 1}}, ModelingToolkit.MTKParameters{StaticArraysCore.SizedVector{0,
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le{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Fo
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izedVector{0, Float64, Vector{Float64}}, Vector{Float64}, Tuple{}, Tuple{},
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Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag,
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taticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Vector{Float64}, 
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agonal{Float64, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothi
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Toolkit.ObservedFunctionCache{ModelingToolkit.ODESystem}, Nothing, Modeling
Toolkit.ODESystem, SciMLBase.OverrideInitData{SciMLBase.NonlinearLeastSquar
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pecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGe
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(0x1a848946, 0x273d32eb, 0xa49901f8, 0x420c0f66, 0x7c79fc2e), Nothing}, Run
timeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___
mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#
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Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingTool
kit.ObservedFunctionCache{ModelingToolkit.NonlinearSystem}, Nothing, Modeli
ngToolkit.NonlinearSystem, Vector{Float64}, Nothing}, Base.Pairs{Symbol, Un
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pdate_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity),
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ns.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), M
odelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x733
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ngToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vect
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cIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.Paramet
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, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing,
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vial_limiter!)}(nothing, OrdinaryDiffEqCore.DEFAULT_PRECS, OrdinaryDiffEqCo
re.trivial_limiter!, OrdinaryDiffEqCore.trivial_limiter!, ADTypes.AutoForwa
rdDiff(chunksize=1, tag=ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float
64}())), OrdinaryDiffEqCore.trivial_limiter!, OrdinaryDiffEqCore.trivial_li
miter!, 3), Bool[1, 1, 1, 1, 1, 1, 1, 1, 1, 1  …  0, 0, 0, 0, 0, 0, 0, 0, 0
, 0], false), true, 0, SciMLBase.DEStats(2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 0.0), nothing, SciMLBase.ReturnCode.InitialFailure, nothing, nothing, not
hing)

High Tolerances

abstols = 1.0 ./ 10.0 .^ (5:8)
reltols = 1.0 ./ 10.0 .^ (1:4)
setups = [
    Dict(:prob_choice => 1, :alg => Rodas4()),
    Dict(:prob_choice => 1, :alg => Rodas5P()),
    Dict(:prob_choice => 1, :alg => FBDF()),
    Dict(:prob_choice => 1, :alg => QNDF()),
    Dict(:prob_choice => 1, :alg => radau()),
    Dict(:prob_choice => 1, :alg => RadauIIA5()),
    Dict(:prob_choice => 2, :alg => IDA()),
    Dict(:prob_choice => 2, :alg => DASKR.daskr()),
    Dict(:prob_choice => 3, :alg => Rodas5P()),
    Dict(:prob_choice => 3, :alg => Rodas4()),
    Dict(:prob_choice => 3, :alg => FBDF()),
]

labels = ["Rodas4 (MM)" "Rodas5P (MM)" "FBDF (MM)" "QNDF (MM)" "radau (MM)" "RadauIIA5 (MM)" "IDA (DAE)" "DASKR (DAE)" "Rodas5P (MTK)" "Rodas4 (MTK)" "FBDF (MTK)"]

wp = WorkPrecisionSet(probs, abstols, reltols, setups;
    names = labels, save_everystep = false, appxsol = refs,
    maxiters = Int(1e7), numruns = 5)
plot(wp, title = "Fekete Problem: All Formulations (High Tol)")

EXIT OF RADAU AT X=        0.1214E+02
  STEP SIZE T0O SMALL, H=   5.0133522828558592E-015
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.8215429480205D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.5601530317483D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.4539434351175D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.2259870950881D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT

Solver performance differs significantly across formulations, particularly between residual DAE, mass-matrix ODE, and MTK index-reduced forms.

abstols = 1.0 ./ 10.0 .^ (6:8)
reltols = 1.0 ./ 10.0 .^ (2:4)
setups = [
    Dict(:prob_choice => 1, :alg => Rodas4()),
    Dict(:prob_choice => 1, :alg => Rodas5P()),
    Dict(:prob_choice => 1, :alg => FBDF()),
    Dict(:prob_choice => 2, :alg => IDA()),
    Dict(:prob_choice => 2, :alg => DASKR.daskr()),
    Dict(:prob_choice => 3, :alg => Rodas5P()),
    Dict(:prob_choice => 3, :alg => FBDF()),
]

labels = ["Rodas4 (MM)" "Rodas5P (MM)" "FBDF (MM)" "IDA (DAE)" "DASKR (DAE)" "Rodas5P (MTK)" "FBDF (MTK)"]

wp = WorkPrecisionSet(probs, abstols, reltols, setups;
    names = labels, save_everystep = false, appxsol = refs,
    maxiters = Int(1e7), numruns = 5)
plot(wp, title = "Fekete Problem: MM vs DAE vs MTK (High Tol)")

DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.5601530317483D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.4539434351175D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.2259870950881D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT

Timeseries Errors

abstols = 1.0 ./ 10.0 .^ (5:8)
reltols = 1.0 ./ 10.0 .^ (1:4)
setups = [
    Dict(:prob_choice => 1, :alg => Rodas4()),
    Dict(:prob_choice => 1, :alg => Rodas5P()),
    Dict(:prob_choice => 1, :alg => FBDF()),
    Dict(:prob_choice => 1, :alg => QNDF()),
    Dict(:prob_choice => 1, :alg => radau()),
    Dict(:prob_choice => 1, :alg => RadauIIA5()),
    Dict(:prob_choice => 2, :alg => IDA()),
    Dict(:prob_choice => 2, :alg => DASKR.daskr()),
    Dict(:prob_choice => 3, :alg => Rodas5P()),
    Dict(:prob_choice => 3, :alg => Rodas4()),
    Dict(:prob_choice => 3, :alg => FBDF()),
]

labels = ["Rodas4 (MM)" "Rodas5P (MM)" "FBDF (MM)" "QNDF (MM)" "radau (MM)" "RadauIIA5 (MM)" "IDA (DAE)" "DASKR (DAE)" "Rodas5P (MTK)" "Rodas4 (MTK)" "FBDF (MTK)"]

wp = WorkPrecisionSet(probs, abstols, reltols, setups; error_estimate = :l2,
    names = labels, save_everystep = false, appxsol = refs,
    maxiters = Int(1e7), numruns = 5)
plot(wp, title = "Fekete Problem: Timeseries (L2)")

EXIT OF RADAU AT X=        0.1214E+02
  STEP SIZE T0O SMALL, H=   5.0133522828558592E-015
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.8215429480205D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.5601530317483D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.4539434351175D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.2259870950881D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT

abstols = 1.0 ./ 10.0 .^ (6:8)
reltols = 1.0 ./ 10.0 .^ (2:4)
setups = [
    Dict(:prob_choice => 1, :alg => Rodas4()),
    Dict(:prob_choice => 1, :alg => Rodas5P()),
    Dict(:prob_choice => 1, :alg => FBDF()),
    Dict(:prob_choice => 2, :alg => IDA()),
    Dict(:prob_choice => 2, :alg => DASKR.daskr()),
    Dict(:prob_choice => 3, :alg => Rodas5P()),
    Dict(:prob_choice => 3, :alg => FBDF()),
]

labels = ["Rodas4 (MM)" "Rodas5P (MM)" "FBDF (MM)" "IDA (DAE)" "DASKR (DAE)" "Rodas5P (MTK)" "FBDF (MTK)"]

wp = WorkPrecisionSet(probs, abstols, reltols, setups; error_estimate = :l2,
    names = labels, save_everystep = false, appxsol = refs,
    maxiters = Int(1e7), numruns = 5)
plot(wp, title = "Fekete Problem: MM vs DAE vs MTK Timeseries (L2)")

DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.5601530317483D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.4539434351175D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.2259870950881D-01
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT

Low Tolerances

This measures solver performance when high accuracy is needed.

abstols = 1.0 ./ 10.0 .^ (7:12)
reltols = 1.0 ./ 10.0 .^ (4:9)

setups = [
    Dict(:prob_choice => 1, :alg => Rodas5()),
    Dict(:prob_choice => 1, :alg => Rodas5P()),
    Dict(:prob_choice => 1, :alg => Rodas4()),
    Dict(:prob_choice => 1, :alg => FBDF()),
    Dict(:prob_choice => 1, :alg => QNDF()),
    Dict(:prob_choice => 1, :alg => radau()),
    Dict(:prob_choice => 1, :alg => RadauIIA5()),
    Dict(:prob_choice => 2, :alg => IDA()),
    Dict(:prob_choice => 2, :alg => DASKR.daskr()),
    Dict(:prob_choice => 3, :alg => Rodas5P()),
    Dict(:prob_choice => 3, :alg => Rodas4()),
    Dict(:prob_choice => 3, :alg => FBDF()),
]

labels = ["Rodas5 (MM)" "Rodas5P (MM)" "Rodas4 (MM)" "FBDF (MM)" "QNDF (MM)" "radau (MM)" "RadauIIA5 (MM)" "IDA (DAE)" "DASKR (DAE)" "Rodas5P (MTK)" "Rodas4 (MTK)" "FBDF (MTK)"]

wp = WorkPrecisionSet(probs, abstols, reltols, setups;
    names = labels, save_everystep = false, appxsol = refs,
    maxiters = Int(1e7), numruns = 5)
plot(wp, title = "Fekete Problem: Low Tolerances")

EXIT OF RADAU AT X=        0.1180E+01
  STEP SIZE T0O SMALL, H=   6.5713944532016449E-016
 EXIT OF RADAU AT X=        0.1000E-05
  STEP SIZE T0O SMALL, H=   9.2241777164184738E-022
 EXIT OF RADAU AT X=        0.0000E+00
  STEP SIZE T0O SMALL, H=   1.4821969375237396E-323
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.1873886096282D+00
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.1241937757417D+00
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.5198073331053D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN                                   
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.8316917329686D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN                                   
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.3326766931874D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN                                   
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.5322827090999D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN

wp = WorkPrecisionSet(probs, abstols, reltols, setups; error_estimate = :l2,
    names = labels, save_everystep = false, appxsol = refs,
    maxiters = Int(1e7), numruns = 5)
plot(wp, title = "Fekete Problem: Low Tolerances (L2)")

EXIT OF RADAU AT X=        0.1180E+01
  STEP SIZE T0O SMALL, H=   6.5713944532016449E-016
 EXIT OF RADAU AT X=        0.1000E-05
  STEP SIZE T0O SMALL, H=   9.2241777164184738E-022
 EXIT OF RADAU AT X=        0.0000E+00
  STEP SIZE T0O SMALL, H=   1.4821969375237396E-323
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.1873886096282D+00
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT CURRENT T (=R1)  500 STEPS                                    
      
      In above message,  R1 =  0.1241937757417D+00
 DASKR--  TAKEN ON THIS CALL BEFORE REACHING TOUT                          
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.5198073331053D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN                                   
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.8316917329686D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN                                   
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.3326766931874D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN                                   
      
 DASKR--  AT T (=R1) AND STEPSIZE H (=R2) THE                              
      
      In above,  R1 =  0.0000000000000D+00   R2 =  0.5322827090999D-12
 DASKR--  NONLINEAR SOLVER FAILED TO CONVERGE                              
      
 DASKR--  REPEATEDLY OR WITH ABS(H)=HMIN

Conclusion

Appendix

These benchmarks are a part of the SciMLBenchmarks.jl repository, found at: https://github.com/SciML/SciMLBenchmarks.jl. For more information on high-performance scientific machine learning, check out the SciML Open Source Software Organization https://sciml.ai.

To locally run this benchmark, do the following commands:

using SciMLBenchmarks
SciMLBenchmarks.weave_file("benchmarks/DAE","fekete.jmd")

Computer Information:

Julia Version 1.10.11
Commit a2b11907d7b (2026-03-09 14:59 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 128 × AMD EPYC 7502 32-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver2)
Threads: 1 default, 0 interactive, 1 GC (on 128 virtual cores)
Environment:
  JULIA_CPU_THREADS = 128
  JULIA_DEPOT_PATH = /cache/julia-buildkite-plugin/depots/5b300254-1738-4989-ae0a-f4d2d937f953:

Package Information:

Status `/cache/build/exclusive-amdci3-0/julialang/scimlbenchmarks-dot-jl/benchmarks/DAE/Project.toml`
  [165a45c3] DASKR v2.9.1
  [e993076c] DASSL v2.8.0
  [f3b72e0c] DiffEqDevTools v2.49.0
⌅ [961ee093] ModelingToolkit v9.84.0
  [09606e27] ODEInterfaceDiffEq v3.16.0
⌃ [1dea7af3] OrdinaryDiffEq v6.107.0
  [91a5bcdd] Plots v1.41.6
  [31c91b34] SciMLBenchmarks v0.1.3
  [90137ffa] StaticArrays v1.9.18
⌅ [c3572dad] Sundials v4.28.0
  [10745b16] Statistics v1.10.0
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`

And the full manifest:

Status `/cache/build/exclusive-amdci3-0/julialang/scimlbenchmarks-dot-jl/benchmarks/DAE/Manifest.toml`
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  [ae5879a3] ResettableStacks v1.2.0
  [79098fc4] Rmath v0.9.0
  [47965b36] RootedTrees v2.25.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.17
  [9dfe8606] SCCNonlinearSolve v1.11.0
  [94e857df] SIMDTypes v0.1.0
  [0bca4576] SciMLBase v2.149.0
  [31c91b34] SciMLBenchmarks v0.1.3
  [19f34311] SciMLJacobianOperators v0.1.12
  [a6db7da4] SciMLLogging v1.9.1
  [c0aeaf25] SciMLOperators v1.15.1
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
  [6c6a2e73] Scratch v1.3.0
  [efcf1570] Setfield v1.1.2
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
  [727e6d20] SimpleNonlinearSolve v2.11.0
  [699a6c99] SimpleTraits v0.9.5
  [a2af1166] SortingAlgorithms v1.2.2
  [0a514795] SparseMatrixColorings v0.4.24
  [276daf66] SpecialFunctions v2.7.1
  [860ef19b] StableRNGs v1.0.4
  [aedffcd0] Static v1.3.1
  [0d7ed370] StaticArrayInterface v1.9.0
  [90137ffa] StaticArrays v1.9.18
  [1e83bf80] StaticArraysCore v1.4.4
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [7792a7ef] StrideArraysCore v0.5.8
  [69024149] StringEncodings v0.3.7
  [09ab397b] StructArrays v0.7.2
⌅ [c3572dad] Sundials v4.28.0
  [2efcf032] SymbolicIndexingInterface v0.3.46
⌅ [19f23fe9] SymbolicLimits v0.2.3
⌅ [d1185830] SymbolicUtils v3.32.0
⌅ [0c5d862f] Symbolics v6.58.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [ed4db957] TaskLocalValues v0.1.3
  [62fd8b95] TensorCore v0.1.1
  [8ea1fca8] TermInterface v2.0.0
  [1c621080] TestItems v1.0.0
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [3bb67fe8] TranscodingStreams v0.11.3
  [410a4b4d] Tricks v0.1.13
  [781d530d] TruncatedStacktraces v1.4.0
  [5c2747f8] URIs v1.6.1
  [3a884ed6] UnPack v1.0.2
  [1cfade01] UnicodeFun v0.4.1
  [1986cc42] Unitful v1.28.0
  [a7c27f48] Unityper v0.1.6
  [41fe7b60] Unzip v0.2.0
  [81def892] VersionParsing v1.3.0
  [44d3d7a6] Weave v0.10.12
  [ddb6d928] YAML v0.4.16
  [c2297ded] ZMQ v1.5.1
  [6e34b625] Bzip2_jll v1.0.9+0
  [83423d85] Cairo_jll v1.18.5+1
  [655fdf9c] DASKR_jll v1.0.1+0
  [ee1fde0b] Dbus_jll v1.16.2+0
  [2702e6a9] EpollShim_jll v0.0.20230411+1
  [2e619515] Expat_jll v2.7.3+0
  [b22a6f82] FFMPEG_jll v8.0.1+0
  [a3f928ae] Fontconfig_jll v2.17.1+0
  [d7e528f0] FreeType2_jll v2.13.4+0
  [559328eb] FriBidi_jll v1.0.17+0
  [0656b61e] GLFW_jll v3.4.1+0
  [d2c73de3] GR_jll v0.73.24+0
  [b0724c58] GettextRuntime_jll v0.22.4+0
  [61579ee1] Ghostscript_jll v9.55.1+0
  [020c3dae] Git_LFS_jll v3.7.0+0
  [f8c6e375] Git_jll v2.53.0+0
  [7746bdde] Glib_jll v2.86.3+0
  [3b182d85] Graphite2_jll v1.3.15+0
  [2e76f6c2] HarfBuzz_jll v8.5.1+0
  [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
  [aacddb02] JpegTurbo_jll v3.1.4+0
  [c1c5ebd0] LAME_jll v3.100.3+0
  [88015f11] LERC_jll v4.0.1+0
  [1d63c593] LLVMOpenMP_jll v18.1.8+0
  [dd4b983a] LZO_jll v2.10.3+0
⌅ [e9f186c6] Libffi_jll v3.4.7+0
  [7e76a0d4] Libglvnd_jll v1.7.1+1
  [94ce4f54] Libiconv_jll v1.18.0+0
  [4b2f31a3] Libmount_jll v2.41.3+0
  [89763e89] Libtiff_jll v4.7.2+0
  [38a345b3] Libuuid_jll v2.41.3+0
  [856f044c] MKL_jll v2025.2.0+0
  [c771fb93] ODEInterface_jll v0.0.2+0
  [e7412a2a] Ogg_jll v1.3.6+0
  [9bd350c2] OpenSSH_jll v10.2.1+0
  [458c3c95] OpenSSL_jll v3.5.5+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [91d4177d] Opus_jll v1.6.1+0
  [36c8627f] Pango_jll v1.57.0+0
⌅ [30392449] Pixman_jll v0.44.2+0
  [c0090381] Qt6Base_jll v6.10.2+1
  [629bc702] Qt6Declarative_jll v6.10.2+1
  [ce943373] Qt6ShaderTools_jll v6.10.2+1
  [6de9746b] Qt6Svg_jll v6.10.2+0
  [e99dba38] Qt6Wayland_jll v6.10.2+1
  [f50d1b31] Rmath_jll v0.5.1+0
⌅ [fb77eaff] Sundials_jll v5.2.2+0
  [a44049a8] Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] Wayland_jll v1.24.0+0
  [ffd25f8a] XZ_jll v5.8.2+0
  [f67eecfb] Xorg_libICE_jll v1.1.2+0
  [c834827a] Xorg_libSM_jll v1.2.6+0
  [4f6342f7] Xorg_libX11_jll v1.8.13+0
  [0c0b7dd1] Xorg_libXau_jll v1.0.13+0
  [935fb764] Xorg_libXcursor_jll v1.2.4+0
  [a3789734] Xorg_libXdmcp_jll v1.1.6+0
  [1082639a] Xorg_libXext_jll v1.3.8+0
  [d091e8ba] Xorg_libXfixes_jll v6.0.2+0
  [a51aa0fd] Xorg_libXi_jll v1.8.3+0
  [d1454406] Xorg_libXinerama_jll v1.1.7+0
  [ec84b674] Xorg_libXrandr_jll v1.5.6+0
  [ea2f1a96] Xorg_libXrender_jll v0.9.12+0
  [c7cfdc94] Xorg_libxcb_jll v1.17.1+0
  [cc61e674] Xorg_libxkbfile_jll v1.2.0+0
  [e920d4aa] Xorg_xcb_util_cursor_jll v0.1.6+0
  [12413925] Xorg_xcb_util_image_jll v0.4.1+0
  [2def613f] Xorg_xcb_util_jll v0.4.1+0
  [975044d2] Xorg_xcb_util_keysyms_jll v0.4.1+0
  [0d47668e] Xorg_xcb_util_renderutil_jll v0.3.10+0
  [c22f9ab0] Xorg_xcb_util_wm_jll v0.4.2+0
  [35661453] Xorg_xkbcomp_jll v1.4.7+0
  [33bec58e] Xorg_xkeyboard_config_jll v2.44.0+0
  [c5fb5394] Xorg_xtrans_jll v1.6.0+0
  [8f1865be] ZeroMQ_jll v4.3.6+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [35ca27e7] eudev_jll v3.2.14+0
  [214eeab7] fzf_jll v0.61.1+0
  [a4ae2306] libaom_jll v3.13.1+0
  [0ac62f75] libass_jll v0.17.4+0
  [1183f4f0] libdecor_jll v0.2.2+0
  [2db6ffa8] libevdev_jll v1.13.4+0
  [f638f0a6] libfdk_aac_jll v2.0.4+0
  [36db933b] libinput_jll v1.28.1+0
  [b53b4c65] libpng_jll v1.6.55+0
  [a9144af2] libsodium_jll v1.0.21+0
  [f27f6e37] libvorbis_jll v1.3.8+0
  [009596ad] mtdev_jll v1.1.7+0
  [1317d2d5] oneTBB_jll v2022.0.0+1
⌅ [1270edf5] x264_jll v10164.0.1+0
  [dfaa095f] x265_jll v4.1.0+0
  [d8fb68d0] xkbcommon_jll v1.13.0+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [4af54fe1] LazyArtifacts
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+0
  [e37daf67] LibGit2_jll v1.6.4+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.2+1
  [14a3606d] MozillaCACerts_jll v2023.1.10
  [4536629a] OpenBLAS_jll v0.3.23+4
  [05823500] OpenLibm_jll v0.8.5+0
  [efcefdf7] PCRE2_jll v10.42.0+1
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2
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`