Package evaluation to test QuantumCumulants on Julia 1.14.0-DEV.36 (e2f3178d9b*) started at 2025-11-07T02:52:42.596 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.85s ################################################################################ # Installation # Installing QuantumCumulants... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [35bcea6d] + QuantumCumulants v0.4.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.0 [e2ed5e7c] + Bijections v0.2.2 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.1 [70df07ce] + BracketingNonlinearSolve v1.6.0 [2a0fbf3d] + CPUSummary v0.2.7 [d360d2e6] + ChainRulesCore v1.26.0 [fb6a15b2] + CloseOpenIntervals v0.1.13 ⌅ [861a8166] + Combinatorics v1.0.2 [a80b9123] + CommonMark v0.9.1 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [2b5f629d] + DiffEqBase v6.190.2 [459566f4] + DiffEqCallbacks v4.10.1 [77a26b50] + DiffEqNoiseProcess v5.24.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.10 [8d63f2c5] + DispatchDoctor v0.4.26 [31c24e10] + Distributions v0.25.122 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [7c1d4256] + DynamicPolynomials v0.6.4 [06fc5a27] + DynamicQuantities v1.10.0 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.15 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7a1cc6ca] + FFTW v1.10.0 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [7868e603] + FastExpm v1.1.0 [442a2c76] + FastGaussQuadrature v1.1.0 [a4df4552] + FastPower v1.2.0 [1a297f60] + FillArrays v1.15.0 [64ca27bc] + FindFirstFunctions v1.4.2 [6a86dc24] + FiniteDiff v2.29.0 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.2.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [c27321d9] + Glob v1.3.1 [86223c79] + Graphs v1.13.1 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v1.2.0 [d25df0c9] + Inflate v0.1.5 [18e54dd8] + IntegerMathUtils v0.1.3 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [ae98c720] + Jieko v0.2.1 [98e50ef6] + JuliaFormatter v2.2.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.19.1 [8ac3fa9e] + LRUCache v1.6.2 [b964fa9f] + LaTeXStrings v1.4.0 [23fbe1c1] + Latexify v0.16.10 [10f19ff3] + LayoutPointers v0.1.17 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [d8e11817] + MLStyle v0.4.17 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [e1d29d7a] + Missings v1.2.0 [961ee093] + ModelingToolkit v10.26.1 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.13 [d8a4904e] + MutableArithmetics v1.6.7 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [be0214bd] + NonlinearSolveBase v2.2.0 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.13.2 [bac558e1] + OrderedCollections v1.8.1 [bbf590c4] + OrdinaryDiffEqCore v1.36.0 [90014a1f] + PDMats v0.11.36 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [e409e4f3] + PoissonRandom v0.4.7 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [27ebfcd6] + Primes v0.5.7 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [35bcea6d] + QuantumCumulants v0.4.2 [5717a53b] + QuantumInterface v0.4.1 [4f57444f] + QuantumOpticsBase v0.5.9 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.39.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.1.1 [79098fc4] + Rmath v0.9.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 [9dfe8606] + SCCNonlinearSolve v1.6.0 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.124.0 [19f34311] + SciMLJacobianOperators v0.1.11 [a6db7da4] + SciMLLogging v1.4.0 [c0aeaf25] + SciMLOperators v1.10.0 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [f7aa4685] + SecondQuantizedAlgebra v0.4.3 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.9.0 [699a6c99] + SimpleTraits v0.9.5 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.7 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [5e0ebb24] + Strided v2.3.2 [4db3bf67] + StridedViews v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.46 ⌃ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 [0c5d862f] + Symbolics v6.57.0 [ed4db957] + TaskLocalValues v0.1.3 [8ea1fca8] + TermInterface v2.0.0 [1c621080] + TestItems v1.0.0 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [410a4b4d] + Tricks v0.1.13 [781d530d] + TruncatedStacktraces v1.4.0 [9d95972d] + TupleTools v1.6.0 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.25.1 [a7c27f48] + Unityper v0.1.6 [c4a57d5a] + UnsafeArrays v1.0.8 [f5851436] + FFTW_jll v3.3.11+0 [61579ee1] + Ghostscript_jll v9.55.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [aacddb02] + JpegTurbo_jll v3.1.3+0 [856f044c] + MKL_jll v2025.2.0+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 [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 v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [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 v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 7.38s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 3548.3 ms ✓ QuantumInterface 56719.9 ms ✓ SymbolicUtils 4006.9 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 7744.6 ms ✓ SciMLJacobianOperators 3305.8 ms ✓ SCCNonlinearSolve 2785.4 ms ✓ Unitful → ForwardDiffExt 1937.4 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 4897.8 ms ✓ SciMLBase → SciMLBaseDistributionsExt 4045.9 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 10131.8 ms ✓ DiffEqCallbacks 6444.8 ms ✓ QuantumOpticsBase 8469.3 ms ✓ SymbolicLimits 10399.8 ms ✓ LineSearch 16348.3 ms ✓ NonlinearSolveBase 9200.1 ms ✓ DiffEqNoiseProcess 8100.2 ms ✓ JumpProcesses 60913.6 ms ✓ Symbolics 3809.9 ms ✓ LineSearch → LineSearchLineSearchesExt 3770.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 3161.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseChainRulesCoreExt 3253.9 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 4273.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 8275.3 ms ✓ BracketingNonlinearSolve 12696.0 ms ✓ Symbolics → SymbolicsForwardDiffExt 11284.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 17042.9 ms ✓ SecondQuantizedAlgebra 3791.5 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 11977.5 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 3621.5 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 18690.8 ms ✓ SimpleNonlinearSolve 4147.0 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 5651.9 ms ✓ ImplicitDiscreteSolve 312640.4 ms ✓ ModelingToolkit 55265.0 ms ✓ QuantumCumulants 34 dependencies successfully precompiled in 707 seconds. 280 already precompiled. Precompilation completed after 718.3s ################################################################################ # Testing # Testing QuantumCumulants Status `/tmp/jl_42p5na/Project.toml` [4c88cf16] Aqua v0.8.14 [73c92db5] CheckConcreteStructs v0.1.0 ⌅ [861a8166] Combinatorics v1.0.2 [7d51a73a] ExplicitImports v1.13.2 ⌅ [c3a54625] JET v0.9.20 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [1914dd2f] MacroTools v0.5.16 [961ee093] ModelingToolkit v10.26.1 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.103.0 [35bcea6d] QuantumCumulants v0.4.2 [6e0679c1] QuantumOptics v1.2.4 [4f57444f] QuantumOpticsBase v0.5.9 [0bca4576] SciMLBase v2.124.0 [f7aa4685] SecondQuantizedAlgebra v0.4.3 [9672c7b4] SteadyStateDiffEq v2.7.0 ⌅ [d1185830] SymbolicUtils v3.32.0 [0c5d862f] Symbolics v6.57.0 [8ea1fca8] TermInterface v2.0.0 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_42p5na/Manifest.toml` [47edcb42] ADTypes v1.18.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [ec485272] ArnoldiMethod v0.4.0 ⌅ [7d9fca2a] Arpack v0.5.3 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.0 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.1 [70df07ce] BracketingNonlinearSolve v1.6.0 [2a0fbf3d] CPUSummary v0.2.7 [d360d2e6] ChainRulesCore v1.26.0 [73c92db5] CheckConcreteStructs v0.1.0 [fb6a15b2] CloseOpenIntervals v0.1.13 ⌅ [da1fd8a2] CodeTracking v1.3.9 ⌅ [861a8166] Combinatorics v1.0.2 [a80b9123] CommonMark v0.9.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [2b5f629d] DiffEqBase v6.190.2 [459566f4] DiffEqCallbacks v4.10.1 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.10 [8d63f2c5] DispatchDoctor v0.4.26 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [5b8099bc] DomainSets v0.7.16 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.10.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.15 [7d51a73a] ExplicitImports v1.13.2 [d4d017d3] ExponentialUtilities v1.27.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.10.0 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [7868e603] FastExpm v1.1.0 [442a2c76] FastGaussQuadrature v1.1.0 [a4df4552] FastPower v1.2.0 [1a297f60] FillArrays v1.15.0 [64ca27bc] FindFirstFunctions v1.4.2 [6a86dc24] FiniteDiff v2.29.0 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.2.2 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [c145ed77] GenericSchur v0.5.6 [c27321d9] Glob v1.3.1 [86223c79] Graphs v1.13.1 [f0d1745a] HalfIntegers v1.6.0 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.2.0 [d25df0c9] Inflate v0.1.5 [18e54dd8] IntegerMathUtils v0.1.3 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [42fd0dbc] IterativeSolvers v0.9.4 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [c3a54625] JET v0.9.20 [692b3bcd] JLLWrappers v1.7.1 [ae98c720] Jieko v0.2.1 [98e50ef6] JuliaFormatter v2.2.0 ⌅ [aa1ae85d] JuliaInterpreter v0.9.46 ⌅ [70703baa] JuliaSyntax v0.4.10 [ccbc3e58] JumpProcesses v9.19.1 [ba0b0d4f] Krylov v0.10.2 [0b1a1467] KrylovKit v0.10.2 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.8.0 [2d8b4e74] LevyArea v1.0.0 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7a12625a] LinearMaps v3.11.4 [7ed4a6bd] LinearSolve v3.46.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 ⌃ [6f1432cf] LoweredCodeUtils v3.2.2 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v10.26.1 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.13 [d8a4904e] MutableArithmetics v1.6.7 [d41bc354] NLSolversBase v7.10.0 [2774e3e8] NLsolve v4.5.1 [77ba4419] NaNMath v1.1.3 [8913a72c] NonlinearSolve v4.12.0 [be0214bd] NonlinearSolveBase v2.2.0 [5959db7a] NonlinearSolveFirstOrder v1.10.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.11.0 [26075421] NonlinearSolveSpectralMethods v1.6.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.103.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0 [6ad6398a] OrdinaryDiffEqBDF v1.10.1 [bbf590c4] OrdinaryDiffEqCore v1.36.0 [50262376] OrdinaryDiffEqDefault v1.8.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1 [9286f039] OrdinaryDiffEqExplicitRK v1.4.0 [e0540318] OrdinaryDiffEqExponentialRK v1.8.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.9.0 [5960d6e9] OrdinaryDiffEqFIRK v1.16.0 [101fe9f7] OrdinaryDiffEqFeagin v1.4.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.5.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.5.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.7.0 [521117fe] OrdinaryDiffEqLinear v1.6.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.6.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.7.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0 [c9986a66] OrdinaryDiffEqNordsieck v1.4.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.6.0 [5b33eab2] OrdinaryDiffEqPRK v1.4.0 [04162be5] OrdinaryDiffEqQPRK v1.4.0 [af6ede74] OrdinaryDiffEqRKN v1.5.0 [43230ef6] OrdinaryDiffEqRosenbrock 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[f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+1 [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 v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [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 v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... 24 ambiguities found. To get a list, set `broken = false`. 16 instances of possible type-piracy detected. To get a list, set `broken = false`. Test Summary: | Pass Broken Total Time best practices | 8 2 10 2m28.6s Test Summary: | Pass Total Time ExplicitImports | 5 5 1m18.4s ┌ Warning: AbstractFieldError in struct `Spectrum`: field `corr` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `Spectrum`: field `Afunc` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `Spectrum`: field `bfunc` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `Spectrum`: field `cfunc` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `Spectrum`: field `A` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `Spectrum`: field `b` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `Spectrum`: field `c` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldEquations`: field `states` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldEquations`: field `hamiltonian` with declared type `SecondQuantizedAlgebra.QNumber` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldEquations`: field `jumps` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldEquations`: field `jumps_dagger` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldEquations`: field `rates` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldEquations`: field `order` with declared type `Union{Nothing, Int64, Vector{<:Int64}}` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldEquations`: field `states` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldEquations`: field `hamiltonian` with declared type `SecondQuantizedAlgebra.QNumber` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldEquations`: field `jumps` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldEquations`: field `jumps_dagger` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldEquations`: field `rates` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldEquations`: field `order` with declared type `Union{Nothing, Int64, Vector{<:Int64}}` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `EvaledMeanfieldEquations`: field `states` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `EvaledMeanfieldEquations`: field `hamiltonian` with declared type `SecondQuantizedAlgebra.QNumber` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `EvaledMeanfieldEquations`: field `jumps` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `EvaledMeanfieldEquations`: field `jumps_dagger` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `EvaledMeanfieldEquations`: field `rates` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `EvaledMeanfieldEquations`: field `order` with declared type `Union{Nothing, Int64, Vector{<:Int64}}` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `states` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `hamiltonian` with declared type `SecondQuantizedAlgebra.QNumber` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `jumps` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `jumps_dagger` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `rates` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `order` with declared type `Union{Nothing, Int64, Vector{<:Int64}}` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `scale_aons` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `ScaledMeanfieldEquations`: field `names` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `states` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `hamiltonian` with declared type `SecondQuantizedAlgebra.QNumber` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `jumps` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `jumps_dagger` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `rates` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `efficiencies` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `IndexedMeanfieldNoiseEquations`: field `order` with declared type `Union{Nothing, Int64, Vector{<:Int64}}` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `states` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `hamiltonian` with declared type `SecondQuantizedAlgebra.QNumber` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `jumps` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `jumps_dagger` with declared type `Any` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `rates` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `efficiencies` with declared type `Vector` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 ┌ Warning: AbstractFieldError in struct `MeanfieldNoiseEquations`: field `order` with declared type `Union{Nothing, Int64, Vector{<:Int64}}` is not concretely typed. └ @ CheckConcreteStructs ~/.julia/packages/CheckConcreteStructs/CmAzf/src/CheckConcreteStructs.jl:209 Test Summary: | Total Time Concretely typed | 0 2.7s Test Summary: | Pass Total Time fock | 16 16 34.8s Test Summary: | Pass Total Time nlevel | 26 26 9.2s Test Summary: | Pass Total Time spin | 36 36 8m37.0s Test Summary: | Pass Total Time meanfield | 14 14 28.7s Test Summary: | Pass Total Time parameters | 13 13 27.9s Test Summary: | Pass Total Time average | 20 20 9.5s diffeq: Error During Test at /home/pkgeval/.julia/packages/QuantumCumulants/EgWDs/test/test_diffeq.jl:7 Got exception outside of a @test UndefVarError: `aliases` not defined in local scope Suggestion: check for an assignment to a local variable that shadows a global of the same name. Stacktrace: [1] __init(prob::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, alg::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, timeseries_init::Tuple{}, ts_init::Tuple{}, ks_init::Tuple{}; saveat::Tuple{}, tstops::Tuple{}, d_discontinuities::Tuple{}, save_idxs::Nothing, save_everystep::Bool, save_on::Bool, save_discretes::Bool, save_start::Bool, save_end::Bool, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, dense::Bool, calck::Bool, dt::Float64, dtmin::Float64, dtmax::Float64, force_dtmin::Bool, adaptive::Bool, gamma::Rational{Int64}, abstol::Float64, reltol::Float64, qmin::Rational{Int64}, qmax::Int64, qsteady_min::Int64, qsteady_max::Int64, beta1::Nothing, beta2::Nothing, qoldinit::Rational{Int64}, controller::Nothing, fullnormalize::Bool, failfactor::Int64, maxiters::Int64, internalnorm::typeof(DiffEqBase.ODE_DEFAULT_NORM), internalopnorm::typeof(LinearAlgebra.opnorm), isoutofdomain::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), unstable_check::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, 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::SciMLBase.NonlinearAliasSpecifier, initializealg::DiffEqBase.DefaultInit, kwargs::@Kwargs{}) @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:196 [2] kwcall(::@NamedTuple{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}, ::typeof(SciMLBase.__init), prob::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, alg::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, timeseries_init::Tuple{}, ts_init::Tuple{}, ks_init::Tuple{}) @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:11 [3] __solve(::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, ::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}; kwargs::@Kwargs{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}) @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:6 [4] kwcall(::@NamedTuple{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}, ::typeof(SciMLBase.__solve), ::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, ::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}) @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:1 [5] solve_call(_prob::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, args::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}; merge_callbacks::Bool, kwargshandle::Nothing, kwargs::@Kwargs{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}) @ DiffEqBase ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:127 [6] kwcall(::@NamedTuple{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}, ::typeof(DiffEqBase.solve_call), _prob::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, args::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}) @ DiffEqBase ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:84 [7] solve_up(prob::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, 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true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, sensealg::Nothing, u0::Vector{ComplexF64}, p::MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, args::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}; originator::SciMLBase.ChainRulesOriginator, kwargs::@Kwargs{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}) @ DiffEqBase ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:563 [8] solve_up @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:540 [inlined] [9] solve(prob::ODEProblem{Vector{ComplexF64}, Tuple{Float64, Float64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, true, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, 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ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, args::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{true}, kwargs::@Kwargs{abstol::Float64, reltol::Float64, alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, callback::DiscreteCallback{SteadyStateDiffEq.var"#terminate_function#10"{NonlinearSolveBase.NonlinearTerminationModeCache{Nothing, Float64, NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}}, typeof(terminate!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Nothing, Tuple{}}, save_end::Bool}) @ DiffEqBase ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:530 [10] solve @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:520 [inlined] [11] __solve(::SteadyStateProblem{Vector{ComplexF64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}}, ::DynamicSS{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Float64}; abstol::Float64, reltol::Float64, odesolve_kwargs::@NamedTuple{}, save_idxs::Nothing, termination_condition::NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}, kwargs::@Kwargs{alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}}) @ SteadyStateDiffEq ~/.julia/packages/SteadyStateDiffEq/ovRt6/src/solve.jl:56 [12] __solve @ ~/.julia/packages/SteadyStateDiffEq/ovRt6/src/solve.jl:16 [inlined] [13] #solve_call#150 @ ~/.julia/packages/NonlinearSolveBase/4j4KD/src/solve.jl:162 [inlined] [14] kwcall(::@NamedTuple{alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, abstol::Float64, reltol::Float64}, ::typeof(NonlinearSolveBase.solve_call), _prob::SteadyStateProblem{Vector{ComplexF64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}}, args::DynamicSS{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Float64}) @ NonlinearSolveBase ~/.julia/packages/NonlinearSolveBase/4j4KD/src/solve.jl:128 [15] solve_up(prob::SteadyStateProblem{Vector{ComplexF64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}}, sensealg::Nothing, u0::Vector{ComplexF64}, p::MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, args::DynamicSS{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Float64}; originator::SciMLBase.ChainRulesOriginator, kwargs::@Kwargs{alias::SciMLBase.NonlinearAliasSpecifier, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, abstol::Float64, reltol::Float64}) @ NonlinearSolveBase ~/.julia/packages/NonlinearSolveBase/4j4KD/src/solve.jl:116 [16] solve_up @ ~/.julia/packages/NonlinearSolveBase/4j4KD/src/solve.jl:109 [inlined] [17] solve(prob::SteadyStateProblem{Vector{ComplexF64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}}, args::DynamicSS{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Float64}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{true}, verbose::NonlinearSolveBase.NonlinearVerbosity{SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel}, kwargs::@Kwargs{abstol::Float64, reltol::Float64}) @ NonlinearSolveBase ~/.julia/packages/NonlinearSolveBase/4j4KD/src/solve.jl:87 [18] kwcall(::@NamedTuple{abstol::Float64, reltol::Float64}, ::typeof(solve), prob::SteadyStateProblem{Vector{ComplexF64}, true, MTKParameters{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, ODEFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xa7dd5c0b, 0x938a4bff, 0xfa058cec, 0x5d8f976e, 0x45e1e093), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x41f3b3f6, 0x5dc8a468, 0xcc6af3e4, 0x857e3b30, 0x5b06e2a0), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, SciMLBase.OverrideInitData{NonlinearProblem{Nothing, true, MTKParameters{Vector{Float64}, StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}, Tuple{}, Tuple{}, Tuple{Vector{Complex{Real}}, Vector{Number}}, Tuple{}}, NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xeb2e15b7, 0x3b80ac06, 0x65c43c7a, 0xc3b90f78, 0x26e18a5a), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xcdea18a2, 0xb4766fa3, 0x0e4508cc, 0xa6aaf9b5, 0xc3587b97), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, Nothing, System, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, typeof(ModelingToolkit.update_initializeprob!), ComposedFunction{ComposedFunction{typeof(identity), typeof(ModelingToolkit.safe_float)}, SymbolicIndexingInterface.TimeIndependentObservedFunction{ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x98181f33, 0x23cae74c, 0xed7e85a1, 0x7c67c21f, 0xe263a727), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x4191e262, 0x8ffebd26, 0x1141a56e, 0x994bbc46, 0xf81ca25f), Nothing}}}}, ModelingToolkit.var"#initprobpmap_split#947"{ModelingToolkit.var"#_getter#943"{Tuple{Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{false, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x0c55e6fd, 0xbfdc355f, 0xb96c1bba, 0x42c71e69, 0x426fff15), Nothing}, Nothing}}}}}}, ModelingToolkit.InitializationMetadata{ModelingToolkit.ReconstructInitializeprob{ModelingToolkit.var"#_getter#943"{Tuple{ComposedFunction{ModelingToolkit.PConstructorApplicator{typeof(identity)}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x5f610056, 0x447f14c7, 0xb598e4ab, 0x430b4077, 0x227e98a4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x49c7eb2a, 0x8ed86adf, 0xb593d846, 0x8205e4c2, 0x8d08a26f), Nothing}}}}, Returns{StaticArraysCore.SizedVector{0, Float64, Vector{Float64}}}, Returns{Tuple{}}, Returns{Tuple{}}, ComposedFunction{ComposedFunction{Base.Fix1{typeof(broadcast), typeof(identity)}, Base.Fix1{Base.Broadcast.BroadcastFunction{typeof(ModelingToolkit.call)}, Tuple{DataType, DataType}}}, ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x28033efe, 0xa635b168, 0xe5394b36, 0xc509a038, 0xbbb1cf91), Nothing}, Nothing}}}}}, ComposedFunction{typeof(identity), ModelingToolkit.ObservedWrapper{true, ModelingToolkit.GeneratedFunctionWrapper{(2, 3, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9b382ba8, 0x8734d3ab, 0xc5035f98, 0x3ae799b9, 0x683702f4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x1e5cc32e, 0x56a72888, 0x757fe492, 0x7378c78d, 0x987f4878), Nothing}}}}}, ModelingToolkit.GetUpdatedU0{SymbolicIndexingInterface.MultipleGetters{SymbolicIndexingInterface.ContinuousTimeseries, Vector{SymbolicUtils.BasicSymbolic{Complex}}}, SymbolicIndexingInterface.MultipleParametersGetter{SymbolicIndexingInterface.IndexerNotTimeseries, Vector{SymbolicIndexingInterface.GetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}}, Nothing}}, ModelingToolkit.SetInitialUnknowns{SymbolicIndexingInterface.MultipleSetters{Vector{SymbolicIndexingInterface.ParameterHookWrapper{SymbolicIndexingInterface.SetParameterIndex{ModelingToolkit.ParameterIndex{ModelingToolkit.Nonnumeric, Tuple{Int64, Int64}}}, SymbolicUtils.BasicSymbolic{Number}}}}}}, Val{true}}, Nothing}, @Kwargs{}}, args::DynamicSS{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, Float64}) @ NonlinearSolveBase ~/.julia/packages/NonlinearSolveBase/4j4KD/src/solve.jl:47 [19] top-level scope @ ~/.julia/packages/QuantumCumulants/EgWDs/test/test_diffeq.jl:9 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [21] macro expansion @ ~/.julia/packages/QuantumCumulants/EgWDs/test/test_diffeq.jl:56 [inlined] [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [23] top-level scope @ ~/.julia/packages/QuantumCumulants/EgWDs/test/runtests.jl:46 [24] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [25] top-level scope @ none:6 [26] eval(m::Module, e::Any) @ Core ./boot.jl:489 [27] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [28] _start() @ Base ./client.jl:577 Test Summary: | Pass Error Total Time diffeq | 7 1 8 40.5s RNG of the outermost testset: Random.Xoshiro(0x357711f451fb97dc, 0xb2ae2756935673fc, 0xc414572e00a7a4b1, 0xf50afd9c78036731, 0xd5342b25575cfd9c) ERROR: LoadError: Some tests did not pass: 7 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/QuantumCumulants/EgWDs/test/test_diffeq.jl:7 in expression starting at /home/pkgeval/.julia/packages/QuantumCumulants/EgWDs/test/runtests.jl:44 Testing failed after 1683.53s ERROR: LoadError: Package QuantumCumulants errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2946 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2795 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2449.94s: package tests unexpectedly errored