Discretization failed (no method matching getmetadata(...))

[cartiery]

Describe the example

I was doing PDE discretization using MOL (julia v1.10.5). I did the upgrade to julia v1.11.1, going along with packages updates, and now I've some error.

Minimal Reproducible Example 👇

##### Define PDE problem #####
using ModelingToolkit: Interval
using ModelingToolkit 
using DifferentialEquations
using MethodOfLines
# Variables
@variables x 
@independent_variables t 
@variables c(..) 
∂t = Differential(t)
∂²x = Differential(x)^2
# Parameters
@parameters D
# PDE
eqn = ∂t(c(x, t)) ~ D * ∂²x(c(x, t))
# Space and time domains
L=3.0 
T=3.0 
dom = [x ∈ Interval(0, L), t ∈ Interval(0, T)]
# Initial and boundary conditions
bcs = [
       c(0,t) ~ 1.0, 
       c(x,0) ~ 0.0,
       ] 
# Define PDE system
@named sys = PDESystem(eqn,
                       bcs,
                       dom,
                       [x, t],
                       [c(x, t)],
                       [D=>0.1]
                       )
# Define ODE problem
prob = discretize(sys, 
                  MOLFiniteDifference([x => 0.05],
                                      t,
                                      advection_scheme=scheme=UpwindScheme(2)
                                      )             
                  );

Error & Stacktrace ⚠️

MethodError: no method matching getmetadata(::Float64, ::Type{ModelingToolkit.VariableGuess}, ::Nothing)
The function `getmetadata` exists, but no method is defined for this combination of argument types.

Closest candidates are:
  getmetadata(!Matched::SymbolicUtils.Symbolic, ::Any, ::Any)
   @ SymbolicUtils C:\Users\yoann.cartier\.julia\packages\SymbolicUtils\jf8aQ\src\types.jl:658
  getmetadata(!Matched::Num, ::Any)
   @ Symbolics C:\Users\yoann.cartier\.julia\packages\Symbolics\8MbnV\src\Symbolics.jl:188
  getmetadata(!Matched::Complex{Num}, ::Any)
   @ Symbolics C:\Users\yoann.cartier\.julia\packages\Symbolics\8MbnV\src\Symbolics.jl:188
  ...

Stacktrace:
  [1] getguess(x::Pair{Num, Float64})
    @ ModelingToolkit C:\Users\yoann.cartier\.julia\packages\ModelingToolkit\zfOUk\src\variables.jl:492
  [2] (::ModelingToolkit.var"#771#784")(st::Pair{Num, Float64})
    @ ModelingToolkit .\none:0
  [3] iterate
    @ .\generator.jl:48 [inlined]
  [4] collect
    @ .\array.jl:780 [inlined]
  [5] ODESystem(deqs::Vector{…}, iv::Num, dvs::Vector{…}, ps::Vector{…}; controls::Vector{…}, observed::Vector{…}, systems::Vector{…}, tspan::Nothing, name::Symbol, description::String, default_u0::Dict{…}, default_p::Dict{…}, defaults::Dict{…}, guesses::Dict{…}, initializesystem::Nothing, initialization_eqs::Vector{…}, schedule::Nothing, connector_type::Nothing, preface::Nothing, continuous_events::Nothing, discrete_events::Nothing, parameter_dependencies::Vector{…}, checks::Bool, metadata::MethodOfLines.MOLMetadata{…}, gui_metadata::Nothing, is_dde::Nothing)
    @ ModelingToolkit C:\Users\yoann.cartier\.julia\packages\ModelingToolkit\zfOUk\src\systems\diffeqs\odesystem.jl:265
  [6] generate_system(disc_state::PDEBase.EquationState, s::MethodOfLines.DiscreteSpace{…}, u0::Vector{…}, tspan::Tuple{…}, metadata::MethodOfLines.MOLMetadata{…}, disc::MOLFiniteDifference{…})
    @ PDEBase C:\Users\yoann.cartier\.julia\packages\PDEBase\VVGPP\src\discretization_state.jl:40
  [7] symbolic_discretize(pdesys::PDESystem, discretization::MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization})
    @ PDEBase C:\Users\yoann.cartier\.julia\packages\PDEBase\VVGPP\src\symbolic_discretize.jl:89
  [8] discretize(pdesys::PDESystem, discretization::MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}; analytic::Nothing, kwargs::@Kwargs{})
    @ PDEBase C:\Users\yoann.cartier\.julia\packages\PDEBase\VVGPP\src\discretization_state.jl:57
  [9] discretize(pdesys::PDESystem, discretization::MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization})
    @ PDEBase C:\Users\yoann.cartier\.julia\packages\PDEBase\VVGPP\src\discretization_state.jl:54
 [10] top-level scope
    @ REPL[35]:1
Some type information was truncated. Use `show(err)` to see complete types.

Working Environment (please complete the following information):

• Output of using Pkg; Pkg.status()

  [0c46a032] DifferentialEquations v7.15.0
  [94925ecb] MethodOfLines v0.11.6
  [961ee093] ModelingToolkit v9.50.0

• Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)

 [47edcb42] ADTypes v1.9.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.38
  [79e6a3ab] Adapt v4.1.1
  [66dad0bd] AliasTables v1.1.3
  [ec485272] ArnoldiMethod v0.4.0
  [4fba245c] ArrayInterface v7.17.0
  [4c555306] ArrayLayouts v1.10.4
  [13072b0f] AxisAlgorithms v1.1.0
  [aae01518] BandedMatrices v1.7.5
  [e2ed5e7c] Bijections v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [8e7c35d0] BlockArrays v1.1.1
  [764a87c0] BoundaryValueDiffEq v5.12.0
  [56b672f2] BoundaryValueDiffEqCore v1.0.2
  [85d9eb09] BoundaryValueDiffEqFIRK v1.0.2
  [1a22d4ce] BoundaryValueDiffEqMIRK v1.0.1
  [ed55bfe0] BoundaryValueDiffEqShooting v1.0.2
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.6
  [00ebfdb7] CSTParser v3.4.3
  [d360d2e6] ChainRulesCore v1.25.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [861a8166] Combinatorics v1.0.2
  [a80b9123] CommonMark v0.8.15
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.16.0
  [b152e2b5] CompositeTypes v0.1.4
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [187b0558] ConstructionBase v1.5.8
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.20
  [e2d170a0] DataValueInterfaces v1.0.0
  [bcd4f6db] DelayDiffEq v5.48.1
  [2b5f629d] DiffEqBase v6.158.3
  [459566f4] DiffEqCallbacks v4.1.0
  [77a26b50] DiffEqNoiseProcess v5.23.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [0c46a032] DifferentialEquations v7.15.0
  [a0c0ee7d] DifferentiationInterface v0.6.22
  [8d63f2c5] DispatchDoctor v0.4.17
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.113
  [ffbed154] DocStringExtensions v0.9.3
  [5b8099bc] DomainSets v0.7.14
  [7c1d4256] DynamicPolynomials v0.6.0
  [06fc5a27] DynamicQuantities v1.3.0
  [4e289a0a] EnumX v1.0.4
  [f151be2c] EnzymeCore v0.8.5
  [d4d017d3] ExponentialUtilities v1.26.1
  [e2ba6199] ExprTools v0.1.10
⌅ [6b7a57c9] Expronicon v0.8.5
  [9d29842c] FastAlmostBandedMatrices v0.1.4
  [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [29a986be] FastLapackInterface v2.0.4
  [a4df4552] FastPower v1.1.1
  [1a297f60] FillArrays v1.13.0
  [64ca27bc] FindFirstFunctions v1.4.1
  [6a86dc24] FiniteDiff v2.26.0
  [1fa38f19] Format v1.3.7
  [f6369f11] ForwardDiff v0.10.38
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
⌅ [d9f16b24] Functors v0.4.12
⌅ [46192b85] GPUArraysCore v0.1.6
  [14197337] GenericLinearAlgebra v0.3.14
  [c145ed77] GenericSchur v0.5.4
  [c27321d9] Glob v1.3.1
  [86223c79] Graphs v1.12.0
  [3e5b6fbb] HostCPUFeatures v0.1.17
  [34004b35] HypergeometricFunctions v0.3.25
  [615f187c] IfElse v0.1.1
  [d25df0c9] Inflate v0.1.5
  [18e54dd8] IntegerMathUtils v0.1.2
  [a98d9a8b] Interpolations v0.15.1
  [8197267c] IntervalSets v0.7.10
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.2
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.6.1
  [98e50ef6] JuliaFormatter v1.0.62
  [ccbc3e58] JumpProcesses v9.14.0
  [ef3ab10e] KLU v0.6.0
  [ba0b0d4f] Krylov v0.9.8
  [b964fa9f] LaTeXStrings v1.4.0
  [23fbe1c1] Latexify v0.16.5
  [10f19ff3] LayoutPointers v0.1.17
  [5078a376] LazyArrays v2.2.1
  [2d8b4e74] LevyArea v1.0.0
  [87fe0de2] LineSearch v0.1.4
  [d3d80556] LineSearches v7.3.0
  [7ed4a6bd] LinearSolve v2.36.2
  [2ab3a3ac] LogExpFunctions v0.3.28
  [bdcacae8] LoopVectorization v0.12.171
  [d8e11817] MLStyle v0.4.17
  [1914dd2f] MacroTools v0.5.13
  [d125e4d3] ManualMemory v0.1.8
  [a3b82374] MatrixFactorizations v3.0.1
  [bb5d69b7] MaybeInplace v0.1.4
  [94925ecb] MethodOfLines v0.11.6
  [e1d29d7a] Missings v1.2.0
  [961ee093] ModelingToolkit v9.50.0
  [46d2c3a1] MuladdMacro v0.2.4
  [102ac46a] MultivariatePolynomials v0.5.7
  [d8a4904e] MutableArithmetics v1.5.2
  [d41bc354] NLSolversBase v7.8.3
  [2774e3e8] NLsolve v4.5.1
  [77ba4419] NaNMath v1.0.2
⌅ [8913a72c] NonlinearSolve v3.15.1
  [6fe1bfb0] OffsetArrays v1.14.1
  [429524aa] Optim v1.9.4
  [bac558e1] OrderedCollections v1.6.3
  [1dea7af3] OrdinaryDiffEq v6.90.1
  [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.1.0
  [6ad6398a] OrdinaryDiffEqBDF v1.1.2
  [bbf590c4] OrdinaryDiffEqCore v1.10.0
  [50262376] OrdinaryDiffEqDefault v1.1.0
  [4302a76b] OrdinaryDiffEqDifferentiation v1.2.0
  [9286f039] OrdinaryDiffEqExplicitRK v1.1.0
  [e0540318] OrdinaryDiffEqExponentialRK v1.1.0
  [becaefa8] OrdinaryDiffEqExtrapolation v1.2.1
  [5960d6e9] OrdinaryDiffEqFIRK v1.2.0
  [101fe9f7] OrdinaryDiffEqFeagin v1.1.0
  [d3585ca7] OrdinaryDiffEqFunctionMap v1.1.1
  [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.1.0
  [9f002381] OrdinaryDiffEqIMEXMultistep v1.1.0
  [521117fe] OrdinaryDiffEqLinear v1.1.0
  [1344f307] OrdinaryDiffEqLowOrderRK v1.2.0
  [b0944070] OrdinaryDiffEqLowStorageRK v1.2.1
  [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.2.4
  [c9986a66] OrdinaryDiffEqNordsieck v1.1.0
  [5dd0a6cf] OrdinaryDiffEqPDIRK v1.1.0
  [5b33eab2] OrdinaryDiffEqPRK v1.1.0
  [04162be5] OrdinaryDiffEqQPRK v1.1.0
  [af6ede74] OrdinaryDiffEqRKN v1.1.0
  [43230ef6] OrdinaryDiffEqRosenbrock v1.3.0
  [2d112036] OrdinaryDiffEqSDIRK v1.1.0
  [669c94d9] OrdinaryDiffEqSSPRK v1.2.0
  [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.1.0
  [358294b1] OrdinaryDiffEqStabilizedRK v1.1.0
  [fa646aed] OrdinaryDiffEqSymplecticRK v1.1.0
  [b1df2697] OrdinaryDiffEqTsit5 v1.1.0
  [79d7bb75] OrdinaryDiffEqVerner v1.1.1
  [a7812802] PDEBase v0.1.17
  [90014a1f] PDMats v0.11.31
  [65ce6f38] PackageExtensionCompat v1.0.2
  [d96e819e] Parameters v0.12.3
  [e409e4f3] PoissonRandom v0.4.4
  [f517fe37] Polyester v0.7.16
  [1d0040c9] PolyesterWeave v0.2.2
  [f27b6e38] Polynomials v4.0.11
  [85a6dd25] PositiveFactorizations v0.2.4
  [d236fae5] PreallocationTools v0.4.24
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [27ebfcd6] Primes v0.5.6
  [43287f4e] PtrArrays v1.2.1
  [1fd47b50] QuadGK v2.11.1
  [74087812] Random123 v1.7.0
  [e6cf234a] RandomNumbers v1.6.0
  [c84ed2f1] Ratios v0.4.5
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.27.3
  [f2c3362d] RecursiveFactorization v0.2.23
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.0
  [ae5879a3] ResettableStacks v1.1.1
  [79098fc4] Rmath v0.8.0
  [47965b36] RootedTrees v2.23.1
  [7e49a35a] RuntimeGeneratedFunctions v0.5.13
  [94e857df] SIMDTypes v0.1.0
  [476501e8] SLEEFPirates v0.6.43
  [0bca4576] SciMLBase v2.59.2
  [19f34311] SciMLJacobianOperators v0.1.1
  [c0aeaf25] SciMLOperators v0.3.12
  [53ae85a6] SciMLStructures v1.5.0
  [efcf1570] Setfield v1.1.1
⌅ [727e6d20] SimpleNonlinearSolve v1.12.3
  [699a6c99] SimpleTraits v0.9.4
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.1
  [9f842d2f] SparseConnectivityTracer v0.6.8
  [47a9eef4] SparseDiffTools v2.23.0
  [0a514795] SparseMatrixColorings v0.4.10
  [e56a9233] Sparspak v0.3.9
  [276daf66] SpecialFunctions v2.4.0
  [aedffcd0] Static v1.1.1
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.8
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.3
  [4c63d2b9] StatsFuns v1.3.2
  [9672c7b4] SteadyStateDiffEq v2.4.1
  [789caeaf] StochasticDiffEq v6.70.0
  [7792a7ef] StrideArraysCore v0.5.7
  [c3572dad] Sundials v4.26.1
  [2efcf032] SymbolicIndexingInterface v0.3.34
  [19f23fe9] SymbolicLimits v0.2.2
  [d1185830] SymbolicUtils v3.7.2
  [0c5d862f] Symbolics v6.18.3
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.0
  [8ea1fca8] TermInterface v2.0.0
  [1c621080] TestItems v1.0.0
  [8290d209] ThreadingUtilities v0.5.2
  [a759f4b9] TimerOutputs v0.5.25
  [0796e94c] Tokenize v0.5.29
  [d5829a12] TriangularSolve v0.2.1
  [410a4b4d] Tricks v0.1.9
  [781d530d] TruncatedStacktraces v1.4.0
  [5c2747f8] URIs v1.5.1
  [3a884ed6] UnPack v1.0.2
  [1986cc42] Unitful v1.21.0
  [a7c27f48] Unityper v0.1.6
  [3d5dd08c] VectorizationBase v0.21.71
  [19fa3120] VertexSafeGraphs v0.2.0
  [efce3f68] WoodburyMatrices v1.0.0
  [1d5cc7b8] IntelOpenMP_jll v2024.2.1+0
  [856f044c] MKL_jll v2024.2.0+0
  [efe28fd5] OpenSpecFun_jll v0.5.5+0
  [f50d1b31] Rmath_jll v0.5.1+0
⌅ [fb77eaff] Sundials_jll v5.2.3+0
  [1317d2d5] oneTBB_jll v2021.12.0+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 v1.6.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.11.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.11.0
  [de0858da] Printf 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 v1.11.0
  [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 v1.1.1+0
  [deac9b47] LibCURL_jll v8.6.0+0
  [e37daf67] LibGit2_jll v1.7.2+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.6+0
  [14a3606d] MozillaCACerts_jll v2023.12.12
  [4536629a] OpenBLAS_jll v0.3.27+1
  [05823500] OpenLibm_jll v0.8.1+2
  [bea87d4a] SuiteSparse_jll v7.7.0+0
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.59.0+0
  [3f19e933] p7zip_jll v17.4.0+2

• Output of versioninfo()

Julia Version 1.11.1
Commit 8f5b7ca12a (2024-10-16 10:53 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 12 × 13th Gen Intel(R) Core(TM) i7-1365U
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, goldmont)
Threads: 1 default, 0 interactive, 1 GC (on 12 virtual cores)

Additional context

Packages version where MWE works:

[0c46a032] DifferentialEquations v7.14.0
[94925ecb] MethodOfLines v0.11.4
[961ee093] ModelingToolkit v9.41.0

The whole story is that I uninstalled julia that I had manually installed, to install it through MS store (to have juliaup). Juliaup installed last julia release, so I went from v1.10.5 to v1.11.1. I tried to install packages through julia v1.10.5 channel, but it installs same packages version as in v1.11.1 channel (which do not work), so I'm stuck with this MOL error.

[dmetivie]

The new syntax seems to be

@named sys = PDESystem(eqn,
                       bcs,
                       dom,
                       [x, t],
                       [c(x, t)],
                       [D];
                       defaults=Dict(D => 0.1)
                       )

Probably the error could be more informative? Or during the construction of sys a warning could be raised?

[cartiery]

The new syntax seems to be

@named sys = PDESystem(eqn,
                       bcs,
                       dom,
                       [x, t],
                       [c(x, t)],
                       [D];
                       defaults=Dict(D => 0.1)
                       )

Probably the error could be more informative? Or during the construction of sys a warning could be raised?

I see, I missed the new synthax, thanks a lot !

[cartiery]

Is there also a new way to call "remake" function ?
Because I'm facing warnings when trying to solve the pb with remake:

newprob = remake(prob, p=[D=>0.2])
@time "PDE Solve" newsol = solve(newprob, Tsit5(), saveat=0.1)

throw the warnings:

┌ Warning: Initialization system is overdetermined. 1 equations for 0 unknowns. Initialization will default to using least squares. To suppress this warning pass warn_initialize_determined = false. To make this warning into an error, pass fully_determined = true
└ @ ModelingToolkit C:\Users\yoann.cartier\.julia\packages\ModelingToolkit\zfOUk\src\systems\diffeqs\abstractodesystem.jl:1291
PDE Solve: 0.029451 seconds (52.85 k allocations: 3.002 MiB, 92.12% compilation time: 100% of which was recompilation)
┌ Warning: Solution has length 1 in dimension x. Interpolation will not be possible for variable c(x, t). Solution return code is InitialFailure.
└ @ MethodOfLines C:\Users\yoann.cartier\.julia\packages\MethodOfLines\NV0bv\src\interface\solution\solution_utils.jl:18

which then returns non-working solution (one column matrix...). The same code was working before.
Calling solve without "remake" works fine. So the error seems to come from "remake".

[ggebbie]

thank you, @cartiery and @dmetivie . Same problem here with heat equation-like problem. Your solution got me past the original issue. Next I have a namemap dispatch error to investigate.

[ggebbie]

Did you reverse the order of x and t everywhere in the problem setup? I have multiple parameters in my problem that might be the source of the continuing issue. Thanks.

 MethodError: no method matching namemap(::Type{ModelingToolkit.VariableType})
The function `namemap` exists, but no method is defined for this combination of argument types.

Closest candidates are:
  namemap(::Type{ModelingToolkit.VariableType}) (method too new to be called from this world context.)
   @ ModelingToolkit Enums.jl:215
  namemap(!Matched::Type{LinearSolve.OperatorCondition.T}) (method too new to be called from this world context.)
   @ LinearSolve ~/.julia/packages/EnumX/Aoxb1/src/EnumX.jl:130
  namemap(!Matched::Type{LibGit2.Consts.OBJECT})
   @ LibGit2 Enums.jl:215
  ...

[kkakosim]

it seems again that the syntax has changed Parameters Tutorial
requiring to use

newprob = remake(prob)
replace!(Tunable(), newprob.p, pnew)

but I couldn't make it work. the new error is

ERROR: MethodError: no method matching replace!(::Tunable, ::MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ::Vector{Float64})
The function replace! exists, but no method is defined for this combination of argument types.

[ChrisRackauckas]

it seems again that the syntax has changed

That's a completely different thing. Using the SciMLStructures interface for quickly replacing tunables is an interface for optimizers. It's separate from remake and doesn't have much of an overlap except that it updates existing problems.

@cartiery what's your full example? remake(prob, p=[D=>0.2]) should be fine, if you're getting warnings there but not before than maybe some piece of metadata is being dropped.

[cartiery]

@cartiery what's your full example? remake(prob, p=[D=>0.2]) should be fine, if you're getting warnings there but not before than maybe some piece of metadata is being dropped.

@ChrisRackauckas here is the full example:

using ModelingToolkit: Interval
using ModelingToolkit 
using DifferentialEquations
using MethodOfLines
# Variables
@variables x 
@independent_variables t 
@variables c(..) 
∂t = Differential(t)
∂²x = Differential(x)^2
# Parameters
@parameters D
# PDE
eqn = ∂t(c(x, t)) ~ D * ∂²x(c(x, t))
# Space and time domains
L=3.0 
T=3.0 
dom = [x ∈ Interval(0, L), t ∈ Interval(0, T)]
# Initial and boundary conditions
bcs = [
       c(0,t) ~ 1.0, 
       c(x,0) ~ 0.0,
       ] 
# Define PDE system
@named sys = PDESystem(eqn,
                       bcs,
                       dom,
                       [x, t],
                       [c(x, t)],
                       [D];
                       defaults=Dict(D => 0.1)
                       )

# Define ODE problem
prob = discretize(sys, 
                  MOLFiniteDifference([x => 0.05],
                                      t,
                                      advection_scheme=scheme=UpwindScheme(2)
                                      )             
                  );
##### Generate synthetic data #####
@time "PDE Solve" sol = solve(prob, Tsit5(), saveat=0.1)

newprob = remake(prob, p=[D=>0.2])

@time "PDE remake Solve" sol = solve(newprob, Tsit5(), saveat=0.1)

The remake function returns the following warning:

┌ Warning: Solution has length 1 in dimension x. Interpolation will not be possible for variable c(x, t). Solution return code is InitialFailure.
└ @ MethodOfLines C:\Users\yoann.cartier\.julia\packages\MethodOfLines\EiZyI\src\interface\solution\solution_utils.jl:18

It is more than simple warning because then solve gets the error:

PDE remake Solve: 2.817469 seconds (18.22 M allocations: 962.291 MiB, 10.67% gc time, 99.90% compilation time)
PDESolution:
  Return Code:
    InitialFailure
  Dependent variables:
    c(x, t): (61, 1) sized solution
  Domain:
ERROR: BoundsError: attempt to access 1-element Vector{Float64} at index [2]
Stacktrace:
  [1] throw_boundserror(A::Vector{Float64}, I::Tuple{Int64})
    @ Base .\essentials.jl:14
  [2] getindex
    @ .\essentials.jl:916 [inlined]
  [3] display(pdesol::SciMLBase.PDETimeSeriesSolution{Float64, 1, Dict{Num, Matrix{Float64}}, MethodOfLines.MOLMetadata{Val{true}(), MethodOfLines.DiscreteSpace{1, 1, MethodOfLines.CenterAlignedGrid}, MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}, PDESystem, Base.RefValue{Any}, Nothing, MethodOfLines.ScalarizedDiscretization}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ODEFunction{true, SciMLBase.AutoSpecialize, FunctionWrappersWrappers.FunctionWrappersWrapper{Tuple{FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}, Vector{Float64}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{Float64}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}}, false}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ODESystem}, Nothing, ODESystem, SciMLBase.OverrideInitData{NonlinearLeastSquaresProblem{Nothing, true, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.var"#f#749"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x16c3ecc7, 0xa781064a, 0xf05ffdf0, 
0x40854627, 0xb6964a1e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0ccc9380, 0x4325394d, 0xd9a2f255, 0x552c80b8, 0xdd403935), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{NonlinearSystem}, Nothing, NonlinearSystem, Vector{Float64}, Nothing}, @Kwargs{}}, ModelingToolkit.UpdateInitializeprob{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicIndexingInterface.AbstractGetIndexer}}, SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Tunable, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.var"#fn2#282"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(Symbol("##arg#5964805160111424296"), :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf0d15cfa, 0xd7adf7dd, 0xbad3c617, 0x630b2ba2, 0x53687c07), Nothing}}}, ModelingToolkit.GetUpdatedMTKParameters{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{Any}}, SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.MultipleSetters{Vector{Any}}, Vector{Any}}}}, Nothing}, @Kwargs{}, MethodOfLines.MOLMetadata{Val{true}(), MethodOfLines.DiscreteSpace{1, 1, MethodOfLines.CenterAlignedGrid}, MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}, PDESystem, Base.RefValue{Any}, Nothing, MethodOfLines.ScalarizedDiscretization}}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{true, SciMLBase.AutoSpecialize, FunctionWrappersWrappers.FunctionWrappersWrapper{Tuple{FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}, Vector{Float64}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{Float64}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}}, false}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ODESystem}, Nothing, ODESystem, SciMLBase.OverrideInitData{NonlinearLeastSquaresProblem{Nothing, true, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.var"#f#749"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x16c3ecc7, 0xa781064a, 0xf05ffdf0, 0x40854627, 0xb6964a1e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0ccc9380, 0x4325394d, 0xd9a2f255, 0x552c80b8, 0xdd403935), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{NonlinearSystem}, Nothing, NonlinearSystem, Vector{Float64}, Nothing}, @Kwargs{}}, ModelingToolkit.UpdateInitializeprob{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicIndexingInterface.AbstractGetIndexer}}, 
SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Tunable, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.var"#fn2#282"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(Symbol("##arg#5964805160111424296"), :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf0d15cfa, 0xd7adf7dd, 0xbad3c617, 0x630b2ba2, 0x53687c07), Nothing}}}, ModelingToolkit.GetUpdatedMTKParameters{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{Any}}, SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.MultipleSetters{Vector{Any}}, Vector{Any}}}}, Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, Nothing, Vector{Float64}, Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Vector{SymbolicUtils.BasicSymbolic{Real}}, Vector{Num}, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ODEFunction{true, SciMLBase.AutoSpecialize, FunctionWrappersWrappers.FunctionWrappersWrapper{Tuple{FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{Float64}, Vector{Float64}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, Float64}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{Float64}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}, FunctionWrappers.FunctionWrapper{Nothing, Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}}}, false}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ODESystem}, Nothing, ODESystem, SciMLBase.OverrideInitData{NonlinearLeastSquaresProblem{Nothing, true, MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.var"#f#749"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x16c3ecc7, 0xa781064a, 0xf05ffdf0, 0x40854627, 0xb6964a1e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0ccc9380, 0x4325394d, 0xd9a2f255, 0x552c80b8, 0xdd403935), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{NonlinearSystem}, Nothing, NonlinearSystem, Vector{Float64}, Nothing}, @Kwargs{}}, ModelingToolkit.UpdateInitializeprob{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicIndexingInterface.AbstractGetIndexer}}, SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{SciMLStructures.Tunable, Int64}}, SymbolicUtils.BasicSymbolic{Real}}}}}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.var"#fn2#282"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(Symbol("##arg#5964805160111424296"), :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf0d15cfa, 0xd7adf7dd, 0xbad3c617, 0x630b2ba2, 0x53687c07), Nothing}}}, ModelingToolkit.GetUpdatedMTKParameters{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{Any}}, SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.MultipleSetters{Vector{Any}}, Vector{Any}}}}, Nothing}, @Kwargs{}, MethodOfLines.MOLMetadata{Val{true}(), MethodOfLines.DiscreteSpace{1, 1, MethodOfLines.CenterAlignedGrid}, MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}, PDESystem, Base.RefValue{Any}, Nothing, MethodOfLines.ScalarizedDiscretization}}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Dict{Num, Nothing}, SciMLBase.DEStats})
    @ MethodOfLines C:\Users\yoann.cartier\.julia\packages\MethodOfLines\EiZyI\src\interface\solution\common.jl:105
  [4] #invokelatest#2
    @ .\essentials.jl:1055 [inlined]
  [5] invokelatest
    @ .\essentials.jl:1052 [inlined]
  [6] (::VSCodeServer.var"#69#74"{Bool, Bool, Bool, Module, String, Int64, Int64, String, VSCodeServer.ReplRunCodeRequestParams})()
    @ VSCodeServer c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\eval.jl:237
  [7] withpath(f::VSCodeServer.var"#69#74"{Bool, Bool, Bool, Module, String, Int64, Int64, String, VSCodeServer.ReplRunCodeRequestParams}, path::String)
    @ VSCodeServer c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\repl.jl:276
  [8] (::VSCodeServer.var"#68#73"{Bool, Bool, Bool, Module, String, Int64, Int64, String, VSCodeServer.ReplRunCodeRequestParams})()      
    @ VSCodeServer c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\eval.jl:179
  [9] hideprompt(f::VSCodeServer.var"#68#73"{Bool, Bool, Bool, Module, String, Int64, Int64, String, VSCodeServer.ReplRunCodeRequestParams})
    @ VSCodeServer c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\repl.jl:38
 [10] #67
    @ c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\eval.jl:150 [inlined] 
 [11] with_logstate(f::VSCodeServer.var"#67#72"{Bool, Bool, Bool, Module, String, Int64, Int64, String, VSCodeServer.ReplRunCodeRequestParams}, logstate::Base.CoreLogging.LogState)
    @ Base.CoreLogging .\logging\logging.jl:522
 [12] with_logger
    @ .\logging\logging.jl:632 [inlined]
 [13] (::VSCodeServer.var"#66#71"{VSCodeServer.ReplRunCodeRequestParams})()
    @ VSCodeServer c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\eval.jl:263
 [14] #invokelatest#2
    @ .\essentials.jl:1055 [inlined]
 [15] invokelatest(::Any)
    @ Base .\essentials.jl:1052
 [16] (::VSCodeServer.var"#64#65")()
    @ VSCodeServer c:\Users\yoann.cartier\.vscode\extensions\julialang.language-julia-1.127.2\scripts\packages\VSCodeServer\src\eval.jl:34

Here is my ]st:

  [0c46a032] DifferentialEquations v7.15.0
  [94925ecb] MethodOfLines v0.11.7
  [961ee093] ModelingToolkit v9.53.0

[ChrisRackauckas]

Interesting, this is an error in the display of the solution not the solve.