Discretization failed (no method matching getmetadata(...)) #427
Comments
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The new syntax seems to be Probably the error could be more informative? Or during the construction of |
I see, I missed the new synthax, thanks a lot ! |
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Is there also a new way to call "remake" function ? 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:18which then returns non-working solution (one column matrix...). The same code was working before. |
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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
... |
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it seems again that the syntax has changed Parameters Tutorial but I couldn't make it work. the new error is
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That's a completely different thing. Using the SciMLStructures interface for quickly replacing tunables is an interface for optimizers. It's separate from @cartiery what's your full example? |
@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:18It 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:34Here is my ]st: [0c46a032] DifferentialEquations v7.15.0
[94925ecb] MethodOfLines v0.11.7
[961ee093] ModelingToolkit v9.53.0 |
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Interesting, this is an error in the display of the solution not the solve. |
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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 👇
Error & Stacktrace⚠️
Working Environment (please complete the following information):
using Pkg; Pkg.status()using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)versioninfo()Additional context
Packages version where MWE works:
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.
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