Unable to run heat equation from docs ( ERROR: MethodError: no method matching (SciMLBase.PDETimeSeriesSolution)

[stmorgenstern]

Hello, I was preparing for a new project where I was planning on using MethodOfLines and trying out the examples to ensure everything was working, but running the below code from the docs (1D time dependent Heat Eqn with dirchlet BCs) seemed to cause errors:

using OrdinaryDiffEq, ModelingToolkit, MethodOfLines, DomainSets
# Method of Manufactured Solutions: exact solution
u_exact = (x,t) -> exp.(-t) * cos.(x)

# Parameters, variables, and derivatives
@parameters t x
@variables u(..)
Dt = Differential(t)
Dxx = Differential(x)^2

# 1D PDE and boundary conditions
eq  = Dt(u(t, x)) ~ Dxx(u(t, x))
bcs = [u(0, x) ~ cos(x),
        u(t, 0) ~ exp(-t),
        u(t, 1) ~ exp(-t) * cos(1)]

# Space and time domains
domains = [t ∈ Interval(0.0, 1.0),
           x ∈ Interval(0.0, 1.0)]

# PDE system
@named pdesys = PDESystem(eq, bcs, domains, [t, x], [u(t, x)])

# Method of lines discretization
dx = 0.1
order = 2
discretization = MOLFiniteDifference([x => dx], t)

# Convert the PDE problem into an ODE problem
prob = discretize(pdesys,discretization)

# Solve ODE problem
using OrdinaryDiffEq
sol = solve(prob, Tsit5(), saveat=0.2)

# Plot results and compare with exact solution
discrete_x = sol[x]
discrete_t = sol[t]
solu = sol[u(t, x)]

The code errors on the solve() call and produces the following error message:

ERROR: MethodError: no method matching (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}, MethodOfLines.ScalarizedDiscretization}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, Tsit5{Static.False,…}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, SciMLBase.AutoSpecialize,…}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64},…}}, DiffEqBase.Stats, Nothing}, Nothing, Vector{Float64}, Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Vector{SymbolicUtils.BasicSymbolic{Real}}, Vector{Num}, ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, Tsit5{Static.False,…}, Dict{Num, Interpolations.GriddedInterpolation{Float64, 2, Matrix{Float64}, Interpolations.Gridded{Interpolations.Linear{Interpolations.Throw{Interpolations.OnGrid}}}, Tuple{Vector{Float64}, Vector{Float64}}}}})(::Dict{Num, Matrix{Float64}}, ::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, Tsit5{Static.False,…}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, SciMLBase.AutoSpecialize,…}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64},…}}, DiffEqBase.Stats, Nothing}, ::Nothing, ::Vector{Float64}, ::Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, ::Vector{SymbolicUtils.BasicSymbolic{Real}}, ::Vector{Num}, ::MethodOfLines.MOLMetadata{Val{true}(), MethodOfLines.DiscreteSpace{1, 1, MethodOfLines.CenterAlignedGrid}, MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}, PDESystem, Base.RefValue{Any}, MethodOfLines.ScalarizedDiscretization}, ::ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, ::Tsit5{Static.False,…}, ::Dict{Num, Interpolations.GriddedInterpolation{Float64, 2, Matrix{Float64}, Interpolations.Gridded{Interpolations.Linear{Interpolations.Throw{Interpolations.OnGrid}}}, Tuple{Vector{Float64}, Vector{Float64}}}}, ::Bool, ::Int64, ::SciMLBase.ReturnCode.T)

Some of the types have been truncated in the stacktrace for improved reading. To emit complete information
in the stack trace, evaluate `TruncatedStacktraces.VERBOSE[] = true` and re-run the code.

Stacktrace:
 [1] SciMLBase.PDETimeSeriesSolution(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, Tsit5{Static.False,…}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, SciMLBase.AutoSpecialize,…}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64},…}}, DiffEqBase.Stats, Nothing}, metadata::MethodOfLines.MOLMetadata{Val{true}(), MethodOfLines.DiscreteSpace{1, 1, MethodOfLines.CenterAlignedGrid}, MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}, PDESystem, Base.RefValue{Any}, MethodOfLines.ScalarizedDiscretization})
   @ MethodOfLines C:\Users\Sam\.julia\packages\MethodOfLines\bYeIa\src\interface\solution\timedep.jl:50
 [2] wrap_sol(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, Tsit5{Static.False,…}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, SciMLBase.AutoSpecialize,…}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64},…}}, DiffEqBase.Stats, Nothing}, metadata::MethodOfLines.MOLMetadata{Val{true}(), MethodOfLines.DiscreteSpace{1, 1, MethodOfLines.CenterAlignedGrid}, MOLFiniteDifference{MethodOfLines.CenterAlignedGrid, MethodOfLines.ScalarizedDiscretization}, PDESystem, Base.RefValue{Any}, MethodOfLines.ScalarizedDiscretization})
   @ SciMLBase C:\Users\Sam\.julia\packages\SciMLBase\en6sD\src\solutions\pde_solutions.jl:129
 [3] wrap_sol(sol::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, Tsit5{Static.False,…}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, SciMLBase.AutoSpecialize,…}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64},…}}, DiffEqBase.Stats, Nothing})
   @ SciMLBase C:\Users\Sam\.julia\packages\SciMLBase\en6sD\src\solutions\basic_solutions.jl:86
 [4] solve(prob::ODEProblem{true, Vector{Float64}, Tuple{Float64, Float64},…}, args::Tsit5{Static.False,…}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{true}, kwargs::Base.Pairs{Symbol, Float64, Tuple{Symbol}, NamedTuple{(:saveat,), Tuple{Float64}}})
   @ DiffEqBase C:\Users\Sam\.julia\packages\DiffEqBase\qPmC2\src\solve.jl:842
 [5] top-level scope
   @ REPL[65]:1

This is the current julia version info

Julia Version 1.8.5
Commit 17cfb8e65e (2023-01-08 06:45 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 32 × AMD Ryzen 9 7950X 16-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, znver3)
  Threads: 1 on 32 virtual cores
Environment:
  JULIA_EDITOR = code
  JULIA_NUM_THREADS =

Currently running MethodOfLines from master in a clean project build and still getting this error. Let me know if I can provide anymore details.

[stmorgenstern]

Forgot to include this: here's the result of ]st -m

Status `C:\Users\Sam\Desktop\Research\temp\Manifest.toml`
⌅ [c3fe647b] AbstractAlgebra v0.27.10
  [1520ce14] AbstractTrees v0.4.4
  [79e6a3ab] Adapt v3.6.1
  [ec485272] ArnoldiMethod v0.2.0
  [4fba245c] ArrayInterface v7.2.1
  [30b0a656] ArrayInterfaceCore v0.1.29
  [13072b0f] AxisAlgorithms v1.0.1
  [e2ed5e7c] Bijections v0.1.4
  [62783981] BitTwiddlingConvenienceFunctions v0.1.5
  [2a0fbf3d] CPUSummary v0.2.2
  [00ebfdb7] CSTParser v3.3.6
  [49dc2e85] Calculus v0.5.1
  [d360d2e6] ChainRulesCore v1.15.7
  [9e997f8a] ChangesOfVariables v0.1.6
  [fb6a15b2] CloseOpenIntervals v0.1.12
  [861a8166] Combinatorics v1.0.2
  [a80b9123] CommonMark v0.8.10
  [38540f10] CommonSolve v0.2.3
  [bbf7d656] CommonSubexpressions v0.3.0
  [34da2185] Compat v4.6.1
  [b152e2b5] CompositeTypes v0.1.3
  [187b0558] ConstructionBase v1.5.1
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.14.0
  [864edb3b] DataStructures v0.18.13
  [e2d170a0] DataValueInterfaces v1.0.0
  [b429d917] DensityInterface v0.4.0
  [2b5f629d] DiffEqBase v6.122.1
  [459566f4] DiffEqCallbacks v2.26.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.13.0
  [b4f34e82] Distances v0.10.8
  [31c24e10] Distributions v0.25.86
  [ffbed154] DocStringExtensions v0.9.3
⌅ [5b8099bc] DomainSets v0.5.15
  [fa6b7ba4] DualNumbers v0.6.8
  [7c1d4256] DynamicPolynomials v0.4.6
  [4e289a0a] EnumX v1.0.4
  [d4d017d3] ExponentialUtilities v1.24.0
  [e2ba6199] ExprTools v0.1.9
  [7034ab61] FastBroadcast v0.2.5
  [9aa1b823] FastClosures v0.3.2
  [29a986be] FastLapackInterface v1.2.9
  [1a297f60] FillArrays v0.13.9
  [6a86dc24] FiniteDiff v2.18.0
  [59287772] Formatting v0.4.2
  [f6369f11] ForwardDiff v0.10.35
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [46192b85] GPUArraysCore v0.1.4
  [c145ed77] GenericSchur v0.5.3
  [c27321d9] Glob v1.3.0
  [86223c79] Graphs v1.8.0
⌅ [0b43b601] Groebner v0.2.11
  [d5909c97] GroupsCore v0.4.0
  [3e5b6fbb] HostCPUFeatures v0.1.14
  [34004b35] HypergeometricFunctions v0.3.11
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  [d25df0c9] Inflate v0.1.3
  [18e54dd8] IntegerMathUtils v0.1.0
  [a98d9a8b] Interpolations v0.14.7
⌅ [8197267c] IntervalSets v0.7.3
  [3587e190] InverseFunctions v0.1.8
  [92d709cd] IrrationalConstants v0.2.2
  [42fd0dbc] IterativeSolvers v0.9.2
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.4.1
  [682c06a0] JSON v0.21.3
  [98e50ef6] JuliaFormatter v1.0.25
  [ccbc3e58] JumpProcesses v9.6.0
  [ef3ab10e] KLU v0.4.0
  [ba0b0d4f] Krylov v0.9.0
  [0b1a1467] KrylovKit v0.6.0
  [b964fa9f] LaTeXStrings v1.3.0
  [2ee39098] LabelledArrays v1.14.0
  [984bce1d] LambertW v0.4.6
  [23fbe1c1] Latexify v0.15.18
  [10f19ff3] LayoutPointers v0.1.14
  [50d2b5c4] Lazy v0.15.1
  [d3d80556] LineSearches v7.2.0
  [7ed4a6bd] LinearSolve v1.38.0
  [2ab3a3ac] LogExpFunctions v0.3.23
  [bdcacae8] LoopVectorization v0.12.152
  [1914dd2f] MacroTools v0.5.10
  [d125e4d3] ManualMemory v0.1.8
  [94925ecb] MethodOfLines v0.8.4 `https://github.com/SciML/MethodOfLines.jl.git#master`
  [e1d29d7a] Missings v1.1.0
  [961ee093] ModelingToolkit v8.48.1
  [46d2c3a1] MuladdMacro v0.2.4
  [102ac46a] MultivariatePolynomials v0.4.7
  [d8a4904e] MutableArithmetics v1.2.3
  [d41bc354] NLSolversBase v7.8.3
  [2774e3e8] NLsolve v4.5.1
  [77ba4419] NaNMath v1.0.2
  [8913a72c] NonlinearSolve v1.5.0
  [6fe1bfb0] OffsetArrays v1.12.9
  [bac558e1] OrderedCollections v1.4.1
  [1dea7af3] OrdinaryDiffEq v6.49.3
  [90014a1f] PDMats v0.11.17
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.5.8
  [e409e4f3] PoissonRandom v0.4.4
  [f517fe37] Polyester v0.7.3
  [1d0040c9] PolyesterWeave v0.2.1
  [d236fae5] PreallocationTools v0.4.12
  [21216c6a] Preferences v1.3.0
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  [1fd47b50] QuadGK v2.8.2
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  [b77e0a4c] InteractiveUtils
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[stmorgenstern]

As another quick follow up, I just set up a new project environment with MethodOfLines v0.8.2 and was able to successfully run the code.

[Saiyuz]

And the other package's versions? As the ones above? With MethodOfLines v0.8.2 I get a known error for the MOLFiniteDifference (MethodError: reducing over an empty collection is not allowed...)

[stmorgenstern]

And the other package's versions? As the ones above? With MethodOfLines v0.8.2 I get a known error for the MOLFiniteDifference (MethodError: reducing over an empty collection is not allowed...)

I used just the default v0.8.2 project.toml and manifest.toml.

[xtalax]

I will fix this today folks, hold on tight

[ChrisRackauckas]

It's stopping the global docs build right now too:

https://buildkite.com/julialang/scimldocs/builds/865#0186f457-4b16-4139-984e-9f76c77808ef/640-1110

So re-trigger https://github.com/SciML/SciMLDocs/pull/152 when this is fixed.

[xtalax]

I do not get the error on the functioalscheme branch, the issue comes from the stats field that was added to the solution structs. I will merge

[xtalax]

Is fixed on master @stmorgenstern @Saiyuz