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ForwardDiff errors for NonlinearSolve over ODE solve #3381

Open
JuliaDiff/ForwardDiff.jl
#807
Open
ForwardDiff errors for NonlinearSolve over ODE solve#3381
JuliaDiff/ForwardDiff.jl
#807

Description

@Ickaser
Ickaser
opened on Apr 11, 2026

Describe the example

Doing a NonlinearLeastSquares solve over an ODE solve (parameter fitting problem) used to work correctly, but on most recent releases produces a ForwardDiff error.
(Discussion started on Slack.)

Minimal Reproducible Example 👇

using OrdinaryDiffEqRosenbrock
using NonlinearSolve
function ode(du, u, p, t)
    du[1] = -p[1]*u[1] 
    du[2] = -u[1] - p[2]*u[2]
end
ode_f = ODEFunction{true, SciMLBase.FullSpecialize}(ode)
function solve_ode(p)
    u0 = [1.0, 1.0]
    tspan = (0.0, 10.0)
    prob = ODEProblem(ode_f, u0, tspan, p)
    sol = solve(prob, Rosenbrock23(autodiff=AutoForwardDiff(chunksize=2)))
    return sol
end
experiment = solve_ode([1.5, 2.0])
function resid!(du, p, nlparams)
    sol = solve_ode(p)
    model = sol.(experiment.t, idxs=1)
    du .= model .- experiment[1, :]
end
res_prototype = zeros(length(experiment.t))
resid!(res_prototype, [1.0, 1.0], nothing)

nls = NonlinearFunction{true, SciMLBase.FullSpecialize}(resid!, resid_prototype=res_prototype)
prob = NonlinearLeastSquaresProblem(nls, [1.0, 1.0])
sol = solve(prob, LevenbergMarquardt())

Error & Stacktrace ⚠️

ERROR: First call to automatic differentiation for the Jacobian
failed. This means that the user `f` function is not compatible
with automatic differentiation. Methods to fix this include:

1. Turn off automatic differentiation (e.g. Rosenbrock23() becomes
   Rosenbrock23(autodiff = AutoFiniteDiff())). More details can befound at
   https://docs.sciml.ai/DiffEqDocs/stable/features/performance_overloads/
2. Improving the compatibility of `f` with ForwardDiff.jl automatic
   differentiation (using tools like PreallocationTools.jl). More details
   can be found at https://docs.sciml.ai/DiffEqDocs/stable/basics/faq/#Autodifferentiation-and-Dual-Numbers
3. Defining analytical Jacobians. More details can be
   found at https://docs.sciml.ai/DiffEqDocs/stable/types/ode_types/#SciMLBase.ODEFunction

Note: turning off automatic differentiation tends to have a very minimal
performance impact (for this use case, because it's forward mode for a
square Jacobian. This is different from optimization gradient scenarios).
However, one should be careful as some methods are more sensitive to
accurate gradients than others. Specifically, Rodas methods like `Rodas4`
and `Rodas5P` require accurate Jacobians in order to have good convergence,
while many other methods like BDF (`QNDF`, `FBDF`), SDIRK (`KenCarp4`),
and Rosenbrock-W (`Rosenbrock23`) do not. Thus if using an algorithm which
is sensitive to autodiff and solving at a low tolerance, please change the
algorithm as well.

MethodError: no method matching Float64(::ForwardDiff.Dual{ForwardDiff.Tag{…}, ForwardDiff.Dual{…}, 2})
The type `Float64` exists, but no method is defined for this combination of argument types when trying to construct it.

Closest candidates are:
  (::Type{T})(::Real, ::RoundingMode) where T<:AbstractFloat
   @ Base rounding.jl:265
  (::Type{T})(::T) where T<:Number
   @ Core boot.jl:965
  Float64(::IrrationalConstants.Logten)
   @ IrrationalConstants C:\Users\iwheeler\.julia\packages\IrrationalConstants\RokwY\src\macro.jl:111
  ...

Stacktrace:
  [1] jacobian!(J::Matrix{…}, f::SciMLBase.UJacobianWrapper{…}, x::Vector{…}, fx::Vector{…}, integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, jac_config::Tuple{…})
    @ OrdinaryDiffEqDifferentiation C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_wrappers.jl:247
  [2] calc_J!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:210 [inlined]
  [3] calc_W!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:600 [inlined]
  [4] calc_W!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:497 [inlined]
  [5] calc_rosenbrock_differentiation!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:692 [inlined]
  [6] perform_step!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, cache::OrdinaryDiffEqRosenbrock.Rosenbrock23Cache{…}, repeat_step::Bool)
    @ OrdinaryDiffEqRosenbrock C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqRosenbrock\YsENr\src\rosenbrock_perform_step.jl:57
  [7] perform_step!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqRosenbrock\YsENr\src\rosenbrock_perform_step.jl:35 [inlined]
  [8] solve!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…})
    @ OrdinaryDiffEqCore C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqCore\2yBYX\src\solve.jl:851
  [9] #__solve#59
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqCore\2yBYX\src\solve.jl:10 [inlined]
 [10] __solve
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqCore\2yBYX\src\solve.jl:1 [inlined]
 [11] #solve_call#22
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:172 [inlined]
 [12] solve_call
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:137 [inlined]
 [13] #solve_up#29
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:630 [inlined]
 [14] solve_up
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:603 [inlined]
 [15] #solve#28
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:587 [inlined]
 [16] solve(prob::ODEProblem{…}, args::Rosenbrock23{…})
    @ DiffEqBase C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:575
 [17] solve_ode(p::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBase.NonlinearSolveTag, Float64}, Float64, 2}})
    @ Main .\REPL[14]:5
 [18] resid!(du::Vector{ForwardDiff.Dual{…}}, p::Vector{ForwardDiff.Dual{…}}, nlparams::SciMLBase.NullParameters)
    @ Main .\REPL[16]:2
 [19] NonlinearFunction
    @ C:\Users\iwheeler\.julia\packages\SciMLBase\MzDs3\src\scimlfunctions.jl:2675 [inlined]
 [20] FixTail
    @ C:\Users\iwheeler\.julia\packages\DifferentiationInterface\afUhd\src\utils\context.jl:172 [inlined]
 [21] vector_mode_dual_eval!(f!::DifferentiationInterface.FixTail{…}, cfg::ForwardDiff.JacobianConfig{…}, y::Vector{…}, x::Vector{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\apiutils.jl:31
 [22] vector_mode_jacobian(f!::DifferentiationInterface.FixTail{…}, y::Vector{…}, x::Vector{…}, cfg::ForwardDiff.JacobianConfig{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\jacobian.jl:139
 [23] jacobian
    @ C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\jacobian.jl:40 [inlined]
 [24] jacobian(f!::NonlinearFunction{…}, y::Vector{…}, prep::DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{…}, backend::AutoForwardDiff{…}, x::Vector{…}, contexts::DifferentiationInterface.Constant{…})
    @ DifferentiationInterfaceForwardDiffExt C:\Users\iwheeler\.julia\packages\DifferentiationInterface\afUhd\ext\DifferentiationInterfaceForwardDiffExt\twoarg.jl:471
 [25] construct_jacobian_cache(prob::NonlinearLeastSquaresProblem{…}, alg::GeneralizedFirstOrderAlgorithm{…}, f::NonlinearFunction{…}, fu::Vector{…}, u::Vector{…}, p::SciMLBase.NullParameters; stats::SciMLBase.NLStats, autodiff::AutoForwardDiff{…}, vjp_autodiff::AutoFiniteDiff{…}, jvp_autodiff::AutoForwardDiff{…}, linsolve::Nothing)
    @ NonlinearSolveBase C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\jacobian.jl:100
 [26] construct_jacobian_cache
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\jacobian.jl:33 [inlined]
 [27] __init(::NonlinearLeastSquaresProblem{…}, ::GeneralizedFirstOrderAlgorithm{…}; stats::SciMLBase.NLStats, alias::SciMLBase.NonlinearAliasSpecifier, maxiters::Int64, abstol::Nothing, reltol::Nothing, maxtime::Nothing, termination_condition::Nothing, internalnorm::typeof(NonlinearSolveBase.L2_NORM), verbose::NonlinearVerbosity{…}, linsolve_kwargs::@NamedTuple{}, initializealg::NonlinearSolveBase.NonlinearSolveDefaultInit, kwargs::@Kwargs{})
    @ NonlinearSolveFirstOrder C:\Users\iwheeler\.julia\packages\NonlinearSolveFirstOrder\kipKw\src\solve.jl:199
 [28] __init
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveFirstOrder\kipKw\src\solve.jl:134 [inlined]
 [29] __solve(::NonlinearLeastSquaresProblem{…}, ::GeneralizedFirstOrderAlgorithm{…}; kwargs::@Kwargs{…})
    @ NonlinearSolveBase C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:299
 [30] __solve
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:291 [inlined]
 [31] #solve_call#149
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:174 [inlined]
 [32] solve_call
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:140 [inlined]
 [33] #solve_up#148
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:135 [inlined]
 [34] solve_up
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:120 [inlined]
 [35] #solve#147
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:92 [inlined]
 [36] solve(prob::NonlinearLeastSquaresProblem{…}, args::GeneralizedFirstOrderAlgorithm{…})
    @ NonlinearSolveBase C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:50
 [37] top-level scope
    @ REPL[21]:1
 [38] top-level scope
    @ REPL:1

caused by: MethodError: no method matching Float64(::ForwardDiff.Dual{ForwardDiff.Tag{…}, ForwardDiff.Dual{…}, 2})
The type `Float64` exists, but no method is defined for this combination of argument types when trying to construct it.

Closest candidates are:
  (::Type{T})(::Real, ::RoundingMode) where T<:AbstractFloat
   @ Base rounding.jl:265
  (::Type{T})(::T) where T<:Number
   @ Core boot.jl:965
  Float64(::IrrationalConstants.Logten)
   @ IrrationalConstants C:\Users\iwheeler\.julia\packages\IrrationalConstants\RokwY\src\macro.jl:111
  ...

Stacktrace:
  [1] convert
    @ C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\dual.jl:462 [inlined]
  [2] Dual
    @ C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\dual.jl:77 [inlined]
  [3] convert
    @ C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\dual.jl:465 [inlined]
  [4] setindex!
    @ .\array.jl:985 [inlined]
  [5] ode(du::Vector{ForwardDiff.Dual{…}}, u::Vector{ForwardDiff.Dual{…}}, p::Vector{ForwardDiff.Dual{…}}, t::Float64)
    @ Main .\REPL[12]:2
  [6] (::ODEFunction{…})(du::Vector{…}, u::Vector{…}, p::Vector{…}, t::Float64)
    @ SciMLBase C:\Users\iwheeler\.julia\packages\SciMLBase\MzDs3\src\scimlfunctions.jl:2662
  [7] (::SciMLBase.UJacobianWrapper{…})(du1::Vector{…}, uprev::Vector{…})
    @ SciMLBase C:\Users\iwheeler\.julia\packages\SciMLBase\MzDs3\src\function_wrappers.jl:85
  [8] vector_mode_dual_eval!(f!::SciMLBase.UJacobianWrapper{…}, cfg::ForwardDiff.JacobianConfig{…}, y::Vector{…}, x::Vector{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\apiutils.jl:31
  [9] vector_mode_jacobian!(result::Matrix{…}, f!::SciMLBase.UJacobianWrapper{…}, y::Vector{…}, x::Vector{…}, cfg::ForwardDiff.JacobianConfig{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\jacobian.jl:157
 [10] jacobian!(result::Matrix{…}, f!::SciMLBase.UJacobianWrapper{…}, y::Vector{…}, x::Vector{…}, cfg::ForwardDiff.JacobianConfig{…}, ::Val{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\jacobian.jl:82
 [11] jacobian!(::SciMLBase.UJacobianWrapper{…}, ::Vector{…}, ::Matrix{…}, ::DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{…}, ::AutoForwardDiff{…}, ::Vector{…})
    @ DifferentiationInterfaceForwardDiffExt C:\Users\iwheeler\.julia\packages\DifferentiationInterface\afUhd\ext\DifferentiationInterfaceForwardDiffExt\twoarg.jl:490
 [12] jacobian!(J::Matrix{…}, f::SciMLBase.UJacobianWrapper{…}, x::Vector{…}, fx::Vector{…}, integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, jac_config::Tuple{…})
    @ OrdinaryDiffEqDifferentiation C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_wrappers.jl:245
 [13] calc_J!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:210 [inlined]
 [14] calc_W!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:600 [inlined]
 [15] calc_W!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:497 [inlined]
 [16] calc_rosenbrock_differentiation!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqDifferentiation\kmqYj\src\derivative_utils.jl:692 [inlined]
 [17] perform_step!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…}, cache::OrdinaryDiffEqRosenbrock.Rosenbrock23Cache{…}, repeat_step::Bool)
    @ OrdinaryDiffEqRosenbrock C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqRosenbrock\YsENr\src\rosenbrock_perform_step.jl:57
 [18] perform_step!
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqRosenbrock\YsENr\src\rosenbrock_perform_step.jl:35 [inlined]
 [19] solve!(integrator::OrdinaryDiffEqCore.ODEIntegrator{…})
    @ OrdinaryDiffEqCore C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqCore\2yBYX\src\solve.jl:851
 [20] #__solve#59
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqCore\2yBYX\src\solve.jl:10 [inlined]
 [21] __solve
    @ C:\Users\iwheeler\.julia\packages\OrdinaryDiffEqCore\2yBYX\src\solve.jl:1 [inlined]
 [22] #solve_call#22
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:172 [inlined]
 [23] solve_call
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:137 [inlined]
 [24] #solve_up#29
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:630 [inlined]
 [25] solve_up
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:603 [inlined]
 [26] #solve#28
    @ C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:587 [inlined]
 [27] solve(prob::ODEProblem{…}, args::Rosenbrock23{…})
    @ DiffEqBase C:\Users\iwheeler\.julia\packages\DiffEqBase\bcYrc\src\solve.jl:575
 [28] solve_ode(p::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBase.NonlinearSolveTag, Float64}, Float64, 2}})
    @ Main .\REPL[14]:5
 [29] resid!(du::Vector{ForwardDiff.Dual{…}}, p::Vector{ForwardDiff.Dual{…}}, nlparams::SciMLBase.NullParameters)
    @ Main .\REPL[16]:2
 [30] NonlinearFunction
    @ C:\Users\iwheeler\.julia\packages\SciMLBase\MzDs3\src\scimlfunctions.jl:2675 [inlined]
 [31] FixTail
    @ C:\Users\iwheeler\.julia\packages\DifferentiationInterface\afUhd\src\utils\context.jl:172 [inlined]
 [32] vector_mode_dual_eval!(f!::DifferentiationInterface.FixTail{…}, cfg::ForwardDiff.JacobianConfig{…}, y::Vector{…}, x::Vector{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\apiutils.jl:31
 [33] vector_mode_jacobian(f!::DifferentiationInterface.FixTail{…}, y::Vector{…}, x::Vector{…}, cfg::ForwardDiff.JacobianConfig{…})
    @ ForwardDiff C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\jacobian.jl:139
 [34] jacobian
    @ C:\Users\iwheeler\.julia\packages\ForwardDiff\z3jRk\src\jacobian.jl:40 [inlined]
 [35] jacobian(f!::NonlinearFunction{…}, y::Vector{…}, prep::DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{…}, backend::AutoForwardDiff{…}, x::Vector{…}, contexts::DifferentiationInterface.Constant{…})
    @ DifferentiationInterfaceForwardDiffExt C:\Users\iwheeler\.julia\packages\DifferentiationInterface\afUhd\ext\DifferentiationInterfaceForwardDiffExt\twoarg.jl:471
 [36] construct_jacobian_cache(prob::NonlinearLeastSquaresProblem{…}, alg::GeneralizedFirstOrderAlgorithm{…}, f::NonlinearFunction{…}, fu::Vector{…}, u::Vector{…}, p::SciMLBase.NullParameters; stats::SciMLBase.NLStats, autodiff::AutoForwardDiff{…}, vjp_autodiff::AutoFiniteDiff{…}, jvp_autodiff::AutoForwardDiff{…}, linsolve::Nothing)
    @ NonlinearSolveBase C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\jacobian.jl:100
 [37] construct_jacobian_cache
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\jacobian.jl:33 [inlined]
 [38] __init(::NonlinearLeastSquaresProblem{…}, ::GeneralizedFirstOrderAlgorithm{…}; stats::SciMLBase.NLStats, alias::SciMLBase.NonlinearAliasSpecifier, maxiters::Int64, abstol::Nothing, reltol::Nothing, maxtime::Nothing, termination_condition::Nothing, internalnorm::typeof(NonlinearSolveBase.L2_NORM), verbose::NonlinearVerbosity{…}, linsolve_kwargs::@NamedTuple{}, initializealg::NonlinearSolveBase.NonlinearSolveDefaultInit, kwargs::@Kwargs{})
    @ NonlinearSolveFirstOrder C:\Users\iwheeler\.julia\packages\NonlinearSolveFirstOrder\kipKw\src\solve.jl:199
 [39] __init
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveFirstOrder\kipKw\src\solve.jl:134 [inlined]
 [40] __solve(::NonlinearLeastSquaresProblem{…}, ::GeneralizedFirstOrderAlgorithm{…}; kwargs::@Kwargs{…})
    @ NonlinearSolveBase C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:299
 [41] __solve
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:291 [inlined]
 [42] #solve_call#149
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:174 [inlined]
 [43] solve_call
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:140 [inlined]
 [44] #solve_up#148
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:135 [inlined]
 [45] solve_up
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:120 [inlined]
 [46] #solve#147
    @ C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:92 [inlined]
 [47] solve(prob::NonlinearLeastSquaresProblem{…}, args::GeneralizedFirstOrderAlgorithm{…})
    @ NonlinearSolveBase C:\Users\iwheeler\.julia\packages\NonlinearSolveBase\Lf8FZ\src\solve.jl:50
 [48] top-level scope
    @ REPL[21]:1
 [49] top-level scope
    @ REPL:1

Not Working Environment (please complete the following information):

  • Output of using Pkg; Pkg.status()
  [7d9f7c33] Accessors v0.1.44
  [336ed68f] CSV v0.10.16
  [a93c6f00] DataFrames v1.8.1
  [82cc6244] DataInterpolations v8.9.0
  [634d3b9d] DrWatson v2.19.1
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [93c9dee1] LevelSetSublimation v0.1.0 `..\LevelSetSublimation`
  [d3d80556] LineSearches v7.6.0
⌅ [86014da0] LyoPronto v0.3.2
  [8913a72c] NonlinearSolve v4.17.1
  [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.26.0
  [43230ef6] OrdinaryDiffEqRosenbrock v1.29.0
  [91a5bcdd] Plots v1.41.6
  [aea7be01] PrecompileTools v1.3.3
  [08abe8d2] PrettyTables v3.3.2
  [274fc56d] PythonPlot v1.0.6
  [189a3867] Reexport v1.2.2
  [f2b01f46] Roots v2.2.14
  [c4bf5708] SavitzkyGolay v0.9.1
  [276daf66] SpecialFunctions v2.7.2
  [f3b207a7] StatsPlots v0.15.8
  [bd369af6] Tables v1.12.1
  [84d833dd] TransformVariables v0.8.23
  [9d95f2ec] TypedTables v1.4.6
  [1986cc42] Unitful v1.28.0
  [ddb6d928] YAML v0.4.16
  [ade2ca70] Dates v1.11.0
  • Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
 [47edcb42] ADTypes v1.21.0
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.44
  [79e6a3ab] Adapt v4.5.0
  [66dad0bd] AliasTables v1.1.3
  [dce04be8] ArgCheck v2.5.0
  [7d9fca2a] Arpack v0.5.4
  [4fba245c] ArrayInterface v7.23.0
  [13072b0f] AxisAlgorithms v1.1.0
  [d1d4a3ce] BitFlags v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [70df07ce] BracketingNonlinearSolve v1.12.1
  [2a0fbf3d] CPUSummary v0.2.7
  [336ed68f] CSV v0.10.16
  [d360d2e6] ChainRulesCore v1.26.1
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  [4c0bbee4] ChunkCodecLibZlib v1.0.0
  [55437552] ChunkCodecLibZstd v1.0.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [aaaa29a8] Clustering v0.15.8
  [944b1d66] CodecZlib v0.7.8
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  [5ae59095] Colors v0.13.1
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.18.1
  [b0b7db55] ComponentArrays v0.15.33
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [f0e56b4a] ConcurrentUtilities v2.5.1
  [992eb4ea] CondaPkg v0.2.34
  [187b0558] ConstructionBase v1.6.0
  [d38c429a] Contour v0.6.3
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [a93c6f00] DataFrames v1.8.1
  [82cc6244] DataInterpolations v8.9.0
  [864edb3b] DataStructures v0.19.4
  [e2d170a0] DataValueInterfaces v1.0.0
  [8bb1440f] DelimitedFiles v1.9.1
  [85a47980] Dictionaries v0.4.6
  [2b5f629d] DiffEqBase v6.214.1
  [459566f4] DiffEqCallbacks v4.13.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.16
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.123
  [ffbed154] DocStringExtensions v0.9.5
  [634d3b9d] DrWatson v2.19.1
  [4e289a0a] EnumX v1.0.7
  [f151be2c] EnzymeCore v0.8.19
  [460bff9d] ExceptionUnwrapping v0.1.11
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [c87230d0] FFMPEG v0.4.5
  [b86e33f2] FFTA v0.3.1
  [7034ab61] FastBroadcast v1.3.1
  [9aa1b823] FastClosures v0.3.2
  [442a2c76] FastGaussQuadrature v1.1.0
  [a4df4552] FastPower v1.3.1
  [5789e2e9] FileIO v1.18.0
  [48062228] FilePathsBase v0.9.24
  [1a297f60] FillArrays v1.16.0
  [64ca27bc] FindFirstFunctions v1.8.0
  [6a86dc24] FiniteDiff v2.29.0
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
  [f6369f11] ForwardDiff v1.3.3
  [069b7b12] FunctionWrappers v1.1.3
⌃ [77dc65aa] FunctionWrappersWrappers v1.3.0
  [d9f16b24] Functors v0.5.2
  [46192b85] GPUArraysCore v0.2.0
  [28b8d3ca] GR v0.73.24
  [42e2da0e] Grisu v1.0.2
  [cd3eb016] HTTP v1.11.0
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [615f187c] IfElse v0.1.1
  [313cdc1a] Indexing v1.1.1
  [842dd82b] InlineStrings v1.4.5
  [18e54dd8] IntegerMathUtils v0.1.3
  [a98d9a8b] Interpolations v0.16.2
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
  [033835bb] JLD2 v0.6.4
  [1019f520] JLFzf v0.1.11
  [692b3bcd] JLLWrappers v1.7.1
  [682c06a0] JSON v1.5.0
  [ae98c720] Jieko v0.2.1
  [5ab0869b] KernelDensity v0.6.11
  [ba0b0d4f] Krylov v0.10.6
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [10f19ff3] LayoutPointers v0.1.17
  [93c9dee1] LevelSetSublimation v0.1.0 `..\LevelSetSublimation`
  [87fe0de2] LineSearch v0.1.6
  [d3d80556] LineSearches v7.6.0
  [7ed4a6bd] LinearSolve v3.72.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
⌅ [86014da0] LyoPronto v0.3.2
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [299715c1] MarchingCubes v0.1.11
  [bb5d69b7] MaybeInplace v0.1.4
  [739be429] MbedTLS v1.1.10
  [442fdcdd] Measures v0.3.3
  [0b3b1443] MicroMamba v0.1.15
  [e1d29d7a] Missings v1.2.0
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
  [6f286f6a] MultivariateStats v0.10.4
  [d41bc354] NLSolversBase v8.0.0
  [77ba4419] NaNMath v1.1.3
  [b8a86587] NearestNeighbors v0.4.27
  [8913a72c] NonlinearSolve v4.17.1
  [be0214bd] NonlinearSolveBase v2.23.0
  [5959db7a] NonlinearSolveFirstOrder v2.1.1
  [9a2c21bd] NonlinearSolveQuasiNewton v1.13.1
  [26075421] NonlinearSolveSpectralMethods v1.7.1
  [510215fc] Observables v0.5.5
  [6fe1bfb0] OffsetArrays v1.17.0
  [4d8831e6] OpenSSL v1.6.1
  [bac558e1] OrderedCollections v1.8.1
  [6ad6398a] OrdinaryDiffEqBDF v1.24.0
  [bbf590c4] OrdinaryDiffEqCore v3.29.0
  [4302a76b] OrdinaryDiffEqDifferentiation v2.7.0
  [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.26.0
  [43230ef6] OrdinaryDiffEqRosenbrock v1.29.0
  [2d112036] OrdinaryDiffEqSDIRK v1.14.0
  [669c94d9] OrdinaryDiffEqSSPRK v1.13.0
  [90014a1f] PDMats v0.11.37
  [69de0a69] Parsers v2.8.3
  [fa939f87] Pidfile v1.3.0
  [ccf2f8ad] PlotThemes v3.3.0
  [995b91a9] PlotUtils v1.4.4
  [91a5bcdd] Plots v1.41.6
  [f517fe37] Polyester v0.7.19
  [1d0040c9] PolyesterWeave v0.2.2
  [2dfb63ee] PooledArrays v1.4.3
  [d236fae5] PreallocationTools v1.2.0
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.2
  [08abe8d2] PrettyTables v3.3.2
  [27ebfcd6] Primes v0.5.7
  [43287f4e] PtrArrays v1.4.0
  [6099a3de] PythonCall v0.9.31
  [274fc56d] PythonPlot v1.0.6
  [1fd47b50] QuadGK v2.11.3
  [c84ed2f1] Ratios v0.4.5
  [3cdcf5f2] RecipesBase v1.3.4
  [01d81517] RecipesPipeline v0.6.12
⌅ [731186ca] RecursiveArrayTools v3.54.0
  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.9.0
  [f2b01f46] Roots v2.2.14
  [7e49a35a] RuntimeGeneratedFunctions v0.5.18
  [94e857df] SIMDTypes v0.1.0
  [c4bf5708] SavitzkyGolay v0.9.1
⌅ [0bca4576] SciMLBase v2.154.0
  [19f34311] SciMLJacobianOperators v0.1.13
  [a6db7da4] SciMLLogging v1.9.1
  [c0aeaf25] SciMLOperators v1.16.0
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
  [7e506255] ScopedValues v1.6.0
  [6c6a2e73] Scratch v1.3.0
  [91c51154] SentinelArrays v1.4.9
  [efcf1570] Setfield v1.1.2
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
  [727e6d20] SimpleNonlinearSolve v2.11.1
  [a2af1166] SortingAlgorithms v1.2.2
  [0a514795] SparseMatrixColorings v0.4.26
  [e56a9233] Sparspak v0.3.14
  [276daf66] SpecialFunctions v2.7.2
  [03a91e81] SplitApplyCombine v1.2.3
  [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
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [f3b207a7] StatsPlots v0.15.8
  [9672c7b4] SteadyStateDiffEq v2.10.0
  [7792a7ef] StrideArraysCore v0.5.8
  [69024149] StringEncodings v0.3.7
  [892a3eda] StringManipulation v0.4.4
  [ec057cc2] StructUtils v2.7.1
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [ab02a1b2] TableOperations v1.2.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [62fd8b95] TensorCore v0.1.1
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [3bb67fe8] TranscodingStreams v0.11.3
  [84d833dd] TransformVariables v0.8.23
  [781d530d] TruncatedStacktraces v1.4.0
  [9d95f2ec] TypedTables v1.4.6
  [5c2747f8] URIs v1.6.1
  [3a884ed6] UnPack v1.0.2
  [1cfade01] UnicodeFun v0.4.1
  [b8865327] UnicodePlots v3.8.2
  [1986cc42] Unitful v1.28.0
  [e17b2a0c] UnsafePointers v1.0.0
  [41fe7b60] Unzip v0.2.0
  [81def892] VersionParsing v1.3.0
  [ea10d353] WeakRefStrings v1.4.2
  [cc8bc4a8] Widgets v0.6.7
  [efce3f68] WoodburyMatrices v1.1.0
  [76eceee3] WorkerUtilities v1.6.1
  [ddb6d928] YAML v0.4.16
⌅ [68821587] Arpack_jll v3.5.2+0
  [6e34b625] Bzip2_jll v1.0.9+0
  [83423d85] Cairo_jll v1.18.6+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+1
  [a3f928ae] Fontconfig_jll v2.17.1+0
  [d7e528f0] FreeType2_jll v2.14.3+1
  [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
  [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 v3.1.5+0
  [c1c5ebd0] LAME_jll v3.100.3+0
  [88015f11] LERC_jll v4.1.0+0
  [1d63c593] LLVMOpenMP_jll v18.1.8+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
  [c8ffd9c3] MbedTLS_jll v2.28.1010+0
  [e7412a2a] Ogg_jll v1.3.6+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
  [a44049a8] Vulkan_Loader_jll v1.3.243+0
  [a2964d1f] Wayland_jll v1.24.0+0
  [ffd25f8a] XZ_jll v5.8.3+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
  [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+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
  [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
  [8e53e030] libdrm_jll v2.4.125+1
  [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 v1.6.57+0
  [9a156e7d] libva_jll v2.23.0+0
  [f27f6e37] libvorbis_jll v1.3.8+0
  [f8abcde7] micromamba_jll v2.3.1+0
  [009596ad] mtdev_jll v1.1.7+0
  [1317d2d5] oneTBB_jll v2022.0.0+1
  [4d7b5844] pixi_jll v0.41.3+0
⌅ [1270edf5] x264_jll v10164.0.1+0
  [dfaa095f] x265_jll v4.1.0+0
  [d8fb68d0] xkbcommon_jll v1.13.0+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.12.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.15.0+0
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.5.20
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.4+0
  [efcefdf7] PCRE2_jll v10.44.0+1
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.64.0+1
  [3f19e933] p7zip_jll v17.7.0+0
  • Output of versioninfo()
Julia Version 1.12.2
Commit ca9b6662be (2025-11-20 16:25 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 8 × 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, tigerlake)
  GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 8 virtual cores)
Environment:
  JULIA_CONDAPKG_BACKEND = Null
  JULIA_PYTHONCALL_EXE = C:\Users\iwheeler\Miniconda3\python.exe

Working Environment (please complete the following information):

  • Output of using Pkg; Pkg.status()
Accessors v0.1.43
⌃ [336ed68f] CSV v0.10.15
  [a93c6f00] DataFrames v1.8.1
  [82cc6244] DataInterpolations v8.9.0
  [634d3b9d] DrWatson v2.19.1
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [93c9dee1] LevelSetSublimation v0.1.0 `https://github.com/Ickaser/LevelSetSublimation.jl#` `..\LevelSetSublimation`
  [d3d80556] LineSearches v7.6.0
⌅ [86014da0] LyoPronto v0.3.2
⌃ [8913a72c] NonlinearSolve v4.16.0
⌃ [91a5bcdd] Plots v1.41.5
  [aea7be01] PrecompileTools v1.3.3
⌃ [08abe8d2] PrettyTables v3.2.3
  [274fc56d] PythonPlot v1.0.6
  [189a3867] Reexport v1.2.2
⌃ [f2b01f46] Roots v2.2.10
  [c4bf5708] SavitzkyGolay v0.9.1
⌃ [276daf66] SpecialFunctions v2.7.1
  [f3b207a7] StatsPlots v0.15.8
  [bd369af6] Tables v1.12.1
⌃ [84d833dd] TransformVariables v0.8.19
  [9d95f2ec] TypedTables v1.4.6
  [1986cc42] Unitful v1.28.0
  [ddb6d928] YAML v0.4.16
  [ade2ca70] Dates v1.11.0
  • Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
 [47edcb42] ADTypes v1.21.0
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
⌃ [7d9f7c33] Accessors v0.1.43
⌃ [79e6a3ab] Adapt v4.4.0
  [66dad0bd] AliasTables v1.1.3
  [dce04be8] ArgCheck v2.5.0
  [7d9fca2a] Arpack v0.5.4
⌃ [4fba245c] ArrayInterface v7.22.0
  [13072b0f] AxisAlgorithms v1.1.0
  [d1d4a3ce] BitFlags v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
⌃ [70df07ce] BracketingNonlinearSolve v1.7.1
  [2a0fbf3d] CPUSummary v0.2.7
⌃ [336ed68f] CSV v0.10.15
⌃ [d360d2e6] ChainRulesCore v1.26.0
  [0b6fb165] ChunkCodecCore v1.0.1
  [4c0bbee4] ChunkCodecLibZlib v1.0.0
  [55437552] ChunkCodecLibZstd v1.0.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [aaaa29a8] Clustering v0.15.8
  [944b1d66] CodecZlib v0.7.8
  [35d6a980] ColorSchemes v3.31.0
  [3da002f7] ColorTypes v0.12.1
  [c3611d14] ColorVectorSpace v0.11.0
  [5ae59095] Colors v0.13.1
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.18.1
⌃ [b0b7db55] ComponentArrays v0.15.32
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
⌃ [f0e56b4a] ConcurrentUtilities v2.5.0
  [992eb4ea] CondaPkg v0.2.34
  [187b0558] ConstructionBase v1.6.0
  [d38c429a] Contour v0.6.3
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [a93c6f00] DataFrames v1.8.1
  [82cc6244] DataInterpolations v8.9.0
⌃ [864edb3b] DataStructures v0.19.3
  [e2d170a0] DataValueInterfaces v1.0.0
  [8bb1440f] DelimitedFiles v1.9.1
  [85a47980] Dictionaries v0.4.6
⌃ [2b5f629d] DiffEqBase v6.203.0
⌃ [459566f4] DiffEqCallbacks v4.12.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.16
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.123
  [ffbed154] DocStringExtensions v0.9.5
  [634d3b9d] DrWatson v2.19.1
⌃ [4e289a0a] EnumX v1.0.6
⌃ [f151be2c] EnzymeCore v0.8.18
  [460bff9d] ExceptionUnwrapping v0.1.11
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [c87230d0] FFMPEG v0.4.5
  [b86e33f2] FFTA v0.3.1
⌅ [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [442a2c76] FastGaussQuadrature v1.1.0
  [a4df4552] FastPower v1.3.1
  [5789e2e9] FileIO v1.18.0
  [48062228] FilePathsBase v0.9.24
  [1a297f60] FillArrays v1.16.0
  [64ca27bc] FindFirstFunctions v1.8.0
  [6a86dc24] FiniteDiff v2.29.0
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
⌃ [f6369f11] ForwardDiff v1.3.2
  [069b7b12] FunctionWrappers v1.1.3
⌅ [77dc65aa] FunctionWrappersWrappers v0.1.3
  [d9f16b24] Functors v0.5.2
  [46192b85] GPUArraysCore v0.2.0
⌃ [28b8d3ca] GR v0.73.22
  [42e2da0e] Grisu v1.0.2
⌃ [cd3eb016] HTTP v1.10.19
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [615f187c] IfElse v0.1.1
  [313cdc1a] Indexing v1.1.1
  [842dd82b] InlineStrings v1.4.5
  [18e54dd8] IntegerMathUtils v0.1.3
  [a98d9a8b] Interpolations v0.16.2
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
⌃ [033835bb] JLD2 v0.6.3 [loaded: v0.6.4]
  [1019f520] JLFzf v0.1.11
  [692b3bcd] JLLWrappers v1.7.1
⌃ [682c06a0] JSON v1.4.0
  [ae98c720] Jieko v0.2.1
  [5ab0869b] KernelDensity v0.6.11
⌃ [ba0b0d4f] Krylov v0.10.5
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.10
  [10f19ff3] LayoutPointers v0.1.17
  [93c9dee1] LevelSetSublimation v0.1.0 `https://github.com/Ickaser/LevelSetSublimation.jl#` `..\LevelSetSublimation`
  [87fe0de2] LineSearch v0.1.6
  [d3d80556] LineSearches v7.6.0
⌃ [7ed4a6bd] LinearSolve v3.58.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
⌅ [86014da0] LyoPronto v0.3.2
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [299715c1] MarchingCubes v0.1.11
  [bb5d69b7] MaybeInplace v0.1.4
⌃ [739be429] MbedTLS v1.1.9
  [442fdcdd] Measures v0.3.3
  [0b3b1443] MicroMamba v0.1.15
  [e1d29d7a] Missings v1.2.0
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
⌃ [6f286f6a] MultivariateStats v0.10.3
  [d41bc354] NLSolversBase v8.0.0
  [77ba4419] NaNMath v1.1.3
  [b8a86587] NearestNeighbors v0.4.27
⌃ [8913a72c] NonlinearSolve v4.16.0
⌃ [be0214bd] NonlinearSolveBase v2.12.0
⌃ [5959db7a] NonlinearSolveFirstOrder v2.0.0
⌃ [9a2c21bd] NonlinearSolveQuasiNewton v1.12.0
⌃ [26075421] NonlinearSolveSpectralMethods v1.6.0
  [510215fc] Observables v0.5.5
  [6fe1bfb0] OffsetArrays v1.17.0
  [4d8831e6] OpenSSL v1.6.1
  [bac558e1] OrderedCollections v1.8.1
⌃ [6ad6398a] OrdinaryDiffEqBDF v1.16.0
⌃ [bbf590c4] OrdinaryDiffEqCore v3.5.1
⌃ [4302a76b] OrdinaryDiffEqDifferentiation v2.0.0
⌃ [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.20.0
⌃ [43230ef6] OrdinaryDiffEqRosenbrock v1.23.0
⌃ [2d112036] OrdinaryDiffEqSDIRK v1.12.0
⌃ [669c94d9] OrdinaryDiffEqSSPRK v1.11.0
  [90014a1f] PDMats v0.11.37
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.8.3
  [fa939f87] Pidfile v1.3.0
  [ccf2f8ad] PlotThemes v3.3.0
  [995b91a9] PlotUtils v1.4.4
⌃ [91a5bcdd] Plots v1.41.5
  [f517fe37] Polyester v0.7.19
  [1d0040c9] PolyesterWeave v0.2.2
  [2dfb63ee] PooledArrays v1.4.3
⌃ [d236fae5] PreallocationTools v1.1.2
  [aea7be01] PrecompileTools v1.3.3
⌃ [21216c6a] Preferences v1.5.1 [loaded: v1.5.2]
⌃ [08abe8d2] PrettyTables v3.2.3
  [27ebfcd6] Primes v0.5.7
⌃ [43287f4e] PtrArrays v1.3.0
  [6099a3de] PythonCall v0.9.31
  [274fc56d] PythonPlot v1.0.6
⌃ [1fd47b50] QuadGK v2.11.2
  [c84ed2f1] Ratios v0.4.5
  [3cdcf5f2] RecipesBase v1.3.4
  [01d81517] RecipesPipeline v0.6.12
⌅ [731186ca] RecursiveArrayTools v3.48.0
  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.9.0
⌃ [f2b01f46] Roots v2.2.10
⌃ [7e49a35a] RuntimeGeneratedFunctions v0.5.17
  [94e857df] SIMDTypes v0.1.0
  [c4bf5708] SavitzkyGolay v0.9.1
⌅ [0bca4576] SciMLBase v2.138.1
⌃ [19f34311] SciMLJacobianOperators v0.1.12
⌃ [a6db7da4] SciMLLogging v1.8.0
⌃ [c0aeaf25] SciMLOperators v1.15.1
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
⌃ [7e506255] ScopedValues v1.5.0 [loaded: v1.6.0]
  [6c6a2e73] Scratch v1.3.0
  [91c51154] SentinelArrays v1.4.9
  [efcf1570] Setfield v1.1.2
  [992d4aef] Showoff v1.0.3
  [777ac1f9] SimpleBufferStream v1.2.0
⌃ [727e6d20] SimpleNonlinearSolve v2.10.0
  [a2af1166] SortingAlgorithms v1.2.2
⌃ [0a514795] SparseMatrixColorings v0.4.23
  [e56a9233] Sparspak v0.3.14
⌃ [276daf66] SpecialFunctions v2.7.1
  [03a91e81] SplitApplyCombine v1.2.3
  [860ef19b] StableRNGs v1.0.4
  [aedffcd0] Static v1.3.1
  [0d7ed370] StaticArrayInterface v1.9.0
⌃ [90137ffa] StaticArrays v1.9.16
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [f3b207a7] StatsPlots v0.15.8
⌃ [9672c7b4] SteadyStateDiffEq v2.9.0
  [7792a7ef] StrideArraysCore v0.5.8
  [69024149] StringEncodings v0.3.7
⌃ [892a3eda] StringManipulation v0.4.2
⌃ [ec057cc2] StructUtils v2.6.3
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [ab02a1b2] TableOperations v1.2.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [62fd8b95] TensorCore v0.1.1
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [3bb67fe8] TranscodingStreams v0.11.3
⌃ [84d833dd] TransformVariables v0.8.19
  [781d530d] TruncatedStacktraces v1.4.0
  [9d95f2ec] TypedTables v1.4.6
  [5c2747f8] URIs v1.6.1
  [3a884ed6] UnPack v1.0.2
  [1cfade01] UnicodeFun v0.4.1
⌃ [b8865327] UnicodePlots v3.8.1
  [1986cc42] Unitful v1.28.0
  [e17b2a0c] UnsafePointers v1.0.0
  [41fe7b60] Unzip v0.2.0
  [81def892] VersionParsing v1.3.0
  [ea10d353] WeakRefStrings v1.4.2
  [cc8bc4a8] Widgets v0.6.7
  [efce3f68] WoodburyMatrices v1.1.0
  [76eceee3] WorkerUtilities v1.6.1
  [ddb6d928] YAML v0.4.16
⌅ [68821587] Arpack_jll v3.5.2+0
  [6e34b625] Bzip2_jll v1.0.9+0
⌃ [83423d85] Cairo_jll v1.18.5+1
  [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 v0.73.22+0
⌅ [b0724c58] GettextRuntime_jll v0.22.4+0
  [61579ee1] Ghostscript_jll v9.55.1+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
  [c8ffd9c3] MbedTLS_jll v2.28.1010+0
  [e7412a2a] Ogg_jll v1.3.6+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 v6.8.2+2
⌅ [629bc702] Qt6Declarative_jll v6.8.2+1
⌅ [ce943373] Qt6ShaderTools_jll v6.8.2+1
⌃ [e99dba38] Qt6Wayland_jll v6.8.2+2
  [f50d1b31] Rmath_jll v0.5.1+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
  [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
  [f27f6e37] libvorbis_jll v1.3.8+0
  [f8abcde7] micromamba_jll v2.3.1+0
  [009596ad] mtdev_jll v1.1.7+0
  [1317d2d5] oneTBB_jll v2022.0.0+1
  [4d7b5844] pixi_jll v0.41.3+0
⌅ [1270edf5] x264_jll v10164.0.1+0
  [dfaa095f] x265_jll v4.1.0+0
  [d8fb68d0] xkbcommon_jll v1.13.0+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.12.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.15.0+0
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.5.20
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.4+0
  [efcefdf7] PCRE2_jll v10.44.0+1
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.64.0+1
  [3f19e933] p7zip_jll v17.7.0+0
  • Output of versioninfo()
Julia Version 1.12.2
Commit ca9b6662be (2025-11-20 16:25 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 8 × 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, tigerlake)
  GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 8 virtual cores)
Environment:
  JULIA_CONDAPKG_BACKEND = Null
  JULIA_PYTHONCALL_EXE = C:\Users\iwheeler\Miniconda3\python.exe

Additional context
The manifests can certainly be reduced but I did not have the desire to bisect all the OrdinaryDiffEq sublibrary versions.

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