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Describe the bug 🐞
Cannot test example in [test/pde_systems/MOL_1D_Interface_Nonlinear.jl]
ERROR: This solver is not able to use mass matrices. For compatible solvers see https://docs.sciml.ai/DiffEqDocs/stable/solvers/dae_solve/ Stacktrace: [1] error(s::String) @ Base .\error.jl:35 [2] __init(prob::ODEProblem{…}, alg::Tsit5{…}, timeseries_init::Tuple{}, ts_init::Tuple{}, ks_init::Tuple{}, recompile::Type{…}; saveat::Float64, tstops::Tuple{}, d_discontinuities::Tuple{}, save_idxs::Nothing, save_everystep::Bool, save_on::Bool, save_start::Bool, save_end::Nothing, callback::Nothing, dense::Bool, calck::Bool, dt::Float64, dtmin::Float64, dtmax::Float64, force_dtmin::Bool, adaptive::Bool, gamma::Rational{…}, abstol::Nothing, reltol::Nothing, qmin::Rational{…}, qmax::Int64, qsteady_min::Int64, qsteady_max::Int64, beta1::Nothing, beta2::Nothing, qoldinit::Rational{…}, controller::Nothing, fullnormalize::Bool, failfactor::Int64, maxiters::Int64, internalnorm::typeof(DiffEqBase.ODE_DEFAULT_NORM), internalopnorm::typeof(opnorm), isoutofdomain::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), unstable_check::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), verbose::Bool, timeseries_errors::Bool, dense_errors::Bool, advance_to_tstop::Bool, stop_at_next_tstop::Bool, initialize_save::Bool, progress::Bool, progress_steps::Int64, progress_name::String, progress_message::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), progress_id::Symbol, userdata::Nothing, allow_extrapolation::Bool, initialize_integrator::Bool, alias_u0::Bool, alias_du0::Bool, initializealg::OrdinaryDiffEq.DefaultInit, kwargs::@Kwargs{}) @ OrdinaryDiffEq C:\Users\k.kakosimos\.julia\packages\OrdinaryDiffEq\DmspS\src\solve.jl:98 [3] __init (repeats 5 times) @ C:\Users\k.kakosimos\.julia\packages\OrdinaryDiffEq\DmspS\src\solve.jl:11 [inlined] [4] __solve(::ODEProblem{…}, ::Tsit5{…}; kwargs::@Kwargs{…}) @ OrdinaryDiffEq C:\Users\k.kakosimos\.julia\packages\OrdinaryDiffEq\DmspS\src\solve.jl:6 [5] __solve @ C:\Users\k.kakosimos\.julia\packages\OrdinaryDiffEq\DmspS\src\solve.jl:1 [inlined] [6] #solve_call#34 @ C:\Users\k.kakosimos\.julia\packages\DiffEqBase\52czI\src\solve.jl:612 [inlined] [7] solve_call @ C:\Users\k.kakosimos\.julia\packages\DiffEqBase\52czI\src\solve.jl:569 [inlined] [8] #solve_up#43 @ C:\Users\k.kakosimos\.julia\packages\DiffEqBase\52czI\src\solve.jl:1080 [inlined] [9] solve_up @ C:\Users\k.kakosimos\.julia\packages\DiffEqBase\52czI\src\solve.jl:1066 [inlined] [10] solve(prob::ODEProblem{…}, args::Tsit5{…}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{…}, kwargs::@Kwargs{…}) @ DiffEqBase C:\Users\k.kakosimos\.julia\packages\DiffEqBase\52czI\src\solve.jl:1003 [11] top-level scope @ p:\Chemical Engineering\Air_Quality_Eng_R_Team\!GITHUB\tamuq-chen-secarelab-receiver\aysha\MOL_1D_Interface_Nonlinear.jl:41 Some type information was truncated. Use `show(err)` to see complete types.
After importing the DifferentialEquations.jl and removing the selected Solver the error becomes:
ERROR: MethodError: no method matching SciMLBase.PDETimeSeriesSolution(::SciMLBase.PDETimeSeriesSolution{…}, ::MethodOfLines.MOLMetadata{…}) Closest candidates are: SciMLBase.PDETimeSeriesSolution(::SciMLBase.AbstractODESolution{T}, ::MethodOfLines.MOLMetadata) where T @ MethodOfLines C:\Users\k.kakosimos\.julia\packages\MethodOfLines\byu6o\src\interface\solution\timedep.jl:11 Stacktrace: [1] wrap_sol(sol::SciMLBase.PDETimeSeriesSolution{…}, metadata::MethodOfLines.MOLMetadata{…}) @ SciMLBase C:\Users\k.kakosimos\.julia\packages\SciMLBase\Dwomw\src\solutions\pde_solutions.jl:115 [2] wrap_sol(sol::SciMLBase.PDETimeSeriesSolution{…}) @ SciMLBase C:\Users\k.kakosimos\.julia\packages\SciMLBase\Dwomw\src\solutions\basic_solutions.jl:95 [3] solve(::ODEProblem{…}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{…}, kwargs::@Kwargs{…}) @ DiffEqBase C:\Users\k.kakosimos\.julia\packages\DiffEqBase\52czI\src\solve.jl:1003 [4] top-level scope @ p:\Chemical Engineering\Air_Quality_Eng_R_Team\!GITHUB\tamuq-chen-secarelab-receiver\aysha\MOL_1D_Interface_Nonlinear.jl:41 Some type information was truncated. Use `show(err)` to see complete types.
Minimal Reproducible Example 👇
exactly the example as in the current repository with the below packages:
Error & Stacktrace ⚠️
Environment (please complete the following information):
using Pkg; Pkg.status()
[336ed68f] CSV v0.10.13 [a93c6f00] DataFrames v1.6.1 [0c46a032] DifferentialEquations v7.13.0 ⌅ [5b8099bc] DomainSets v0.6.7 [f6369f11] ForwardDiff v0.10.36 ⌅ [a98d9a8b] Interpolations v0.14.7 [4345ca2d] Loess v0.6.3 [2fda8390] LsqFit v0.15.0 [94925ecb] MethodOfLines v0.10.7 ⌅ [961ee093] ModelingToolkit v8.75.0 [76087f3c] NLopt v1.0.1 [8913a72c] NonlinearSolve v3.7.3 [429524aa] Optim v1.9.2 ⌃ [7f7a1694] Optimization v3.22.0 ⌃ [fd9f6733] OptimizationMOI v0.4.0 [4e6fcdb7] OptimizationNLopt v0.2.0 [36348300] OptimizationOptimJL v0.2.2 [1dea7af3] OrdinaryDiffEq v6.74.0 [91a5bcdd] Plots v1.40.1 [0c5d862f] Symbolics v5.22.1 [fdbf4ff8] XLSX v0.10.1
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
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versioninfo()
Julia Version 1.10.0 Commit 3120989f39 (2023-12-25 18:01 UTC) Build Info: Official https://julialang.org/ release Platform Info: OS: Windows (x86_64-w64-mingw32) CPU: 16 × Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz WORD_SIZE: 64 LIBM: libopenlibm LLVM: libLLVM-15.0.7 (ORCJIT, skylake) Threads: 1 on 16 virtual cores Environment: JULIA_EDITOR = code JULIA_NUM_THREADS =
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Describe the bug 🐞
Cannot test example in [test/pde_systems/MOL_1D_Interface_Nonlinear.jl]
After importing the DifferentialEquations.jl and removing the selected Solver the error becomes:
Minimal Reproducible Example 👇
exactly the example as in the current repository with the below packages:
Error & Stacktrace⚠️
Environment (please complete the following information):
using Pkg; Pkg.status()
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
versioninfo()
Additional context
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The text was updated successfully, but these errors were encountered: