Package evaluation of SimpleNonlinearSolve on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T10:31:20.182 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.08s ################################################################################ # Installation # Installing SimpleNonlinearSolve... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [727e6d20] + SimpleNonlinearSolve v2.1.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [47edcb42] + ADTypes v1.13.0 [7d9f7c33] + Accessors v0.1.41 [79e6a3ab] + Adapt v4.2.0 [4fba245c] + ArrayInterface v7.18.0 [70df07ce] + BracketingNonlinearSolve v1.1.0 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.5.8 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.42 [ffbed154] + DocStringExtensions v0.9.3 [4e289a0a] + EnumX v1.0.4 [f151be2c] + EnzymeCore v0.8.8 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v0.10.38 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [ae98c720] + Jieko v0.2.1 [87fe0de2] + LineSearch v0.1.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.15 [bb5d69b7] + MaybeInplace v0.1.4 [2e0e35c7] + Moshi v0.3.5 [77ba4419] + NaNMath v1.1.2 [be0214bd] + NonlinearSolveBase v1.5.0 [bac558e1] + OrderedCollections v1.8.0 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.30.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.13 [0bca4576] + SciMLBase v2.75.0 [19f34311] + SciMLJacobianOperators v0.1.1 [c0aeaf25] + SciMLOperators v0.3.12 [53ae85a6] + SciMLStructures v1.6.1 [efcf1570] + Setfield v1.1.1 [727e6d20] + SimpleNonlinearSolve v2.1.0 [276daf66] + SpecialFunctions v2.5.0 [1e83bf80] + StaticArraysCore v1.4.3 [2efcf032] + SymbolicIndexingInterface v0.3.38 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [a759f4b9] + TimerOutputs v0.5.27 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [9fa8497b] + Future [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.1+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 8.12s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 85.16s ################################################################################ # Testing # Testing SimpleNonlinearSolve Status `/tmp/jl_fdu75z/Project.toml` [47edcb42] ADTypes v1.13.0 [4c88cf16] Aqua v0.8.11 [4fba245c] ArrayInterface v7.18.0 [70df07ce] BracketingNonlinearSolve v1.1.0 [38540f10] CommonSolve v0.2.4 [2569d6c7] ConcreteStructs v0.2.3 [2b5f629d] DiffEqBase v6.164.1 [a0c0ee7d] DifferentiationInterface v0.6.42 [7da242da] Enzyme v0.13.30 [7d51a73a] ExplicitImports v1.11.1 [9aa1b823] FastClosures v0.3.2 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v0.10.38 [87fe0de2] LineSearch v0.1.4 [bb5d69b7] MaybeInplace v0.1.4 [b7050fa9] NonlinearProblemLibrary v0.1.2 [be0214bd] NonlinearSolveBase v1.5.0 [98d1487c] PolyesterForwardDiff v0.1.2 [aea7be01] PrecompileTools v1.2.1 [189a3867] Reexport v1.2.2 [37e2e3b7] ReverseDiff v1.15.3 [0bca4576] SciMLBase v2.75.0 [efcf1570] Setfield v1.1.1 [727e6d20] SimpleNonlinearSolve v2.1.0 [90137ffa] 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[189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.0 [37e2e3b7] ReverseDiff v1.15.3 [7e49a35a] RuntimeGeneratedFunctions v0.5.13 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.75.0 [19f34311] SciMLJacobianOperators v0.1.1 [c0aeaf25] SciMLOperators v0.3.12 [53ae85a6] SciMLStructures v1.6.1 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.2.1 [efcf1570] Setfield v1.1.1 [727e6d20] SimpleNonlinearSolve v2.1.0 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.0 [aedffcd0] Static v1.1.1 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.12 [1e83bf80] StaticArraysCore v1.4.3 [7792a7ef] StrideArraysCore v0.5.7 [09ab397b] StructArrays v0.7.0 [53d494c1] StructIO v0.3.1 [2efcf032] SymbolicIndexingInterface v0.3.38 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.2 [a759f4b9] TimerOutputs v0.5.27 [9f7883ad] Tracker v0.2.37 [781d530d] 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v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.1+4 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Info: Julia Version 1.10.8 │ Commit 92f03a4775* (2025-02-20 09:30 UTC) │ Platform Info: │ OS: Linux (x86_64-linux-gnu) │ CPU: 128 × AMD EPYC 7502 32-Core Processor │ WORD_SIZE: 64 │ LIBM: libopenlibm │ LLVM: libLLVM-15.0.7 (ORCJIT, znver2) │ Threads: 1 default, 0 interactive, 1 GC (on 1 virtual cores) │ Environment: │ JULIA_CPU_THREADS = 1 │ JULIA_NUM_PRECOMPILE_TASKS = 1 │ JULIA_PKG_PRECOMPILE_AUTO = 0 │ JULIA_PKGEVAL = true │ JULIA_DEPOT_PATH = /home/pkgeval/.julia:/usr/local/share/julia: │ JULIA_NUM_THREADS = 1 └ JULIA_LOAD_PATH = @:/tmp/jl_fdu75z Resolving package versions... Updating `/tmp/jl_fdu75z/Project.toml` [052768ef] + CUDA v5.6.1 Updating `/tmp/jl_fdu75z/Manifest.toml` [ab4f0b2a] + BFloat16s v0.5.0 [052768ef] + CUDA v5.6.1 [1af6417a] + CUDA_Runtime_Discovery v0.3.5 [3da002f7] + ColorTypes v0.12.0 [5ae59095] + Colors v0.13.0 [a8cc5b0e] + Crayons v4.1.1 [a93c6f00] + DataFrames v1.7.0 [53c48c17] + FixedPointNumbers v0.8.5 [842dd82b] + InlineStrings v1.4.3 [41ab1584] + InvertedIndices v1.3.1 [8b046642] + LLVMLoopInfo v1.0.0 [b964fa9f] + LaTeXStrings v1.4.0 [e1d29d7a] + Missings v1.2.0 ⌅ [5da4648a] + NVTX v0.3.5 [2dfb63ee] + PooledArrays v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [74087812] + Random123 v1.7.0 [e6cf234a] + RandomNumbers v1.6.0 [91c51154] + SentinelArrays v1.4.8 [a2af1166] + SortingAlgorithms v1.2.1 [892a3eda] + StringManipulation v0.4.1 ⌅ [4ee394cb] + CUDA_Driver_jll v0.10.4+0 ⌅ [76a88914] + CUDA_Runtime_jll v0.15.5+0 [9c1d0b0a] + JuliaNVTXCallbacks_jll v0.2.1+0 [e98f9f5b] + NVTX_jll v3.1.1+0 [1e29f10c] + demumble_jll v1.3.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Resolving package versions... Updating `/tmp/jl_fdu75z/Project.toml` [1ed8b502] + SciMLSensitivity v7.74.0 Updating `/tmp/jl_fdu75z/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [4c555306] + ArrayLayouts v1.11.1 [7057c7e9] + Cassette v0.3.14 [459566f4] + DiffEqCallbacks v4.3.0 [77a26b50] + DiffEqNoiseProcess v5.24.1 [31c24e10] + Distributions v0.25.117 [f62d2435] + FunctionProperties v0.1.2 [34004b35] + HypergeometricFunctions v0.3.27 [ba0b0d4f] + Krylov v0.9.10 [5078a376] + LazyArrays v2.6.0 [d3d80556] + LineSearches v7.3.0 [7ed4a6bd] + LinearSolve v3.3.1 [d41bc354] + NLSolversBase v7.8.3 [429524aa] + Optim v1.11.0 [90014a1f] + PDMats v0.11.32 [e409e4f3] + PoissonRandom v0.4.4 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v0.4.25 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [ae5879a3] + ResettableStacks v1.1.1 [79098fc4] + Rmath v0.8.0 [1ed8b502] + SciMLSensitivity v7.74.0 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.3.2 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 Resolving package versions... Updating `/tmp/jl_fdu75z/Project.toml` [9b6a8646] + AllocCheck v0.2.1 Updating `/tmp/jl_fdu75z/Manifest.toml` [9b6a8646] + AllocCheck v0.2.1 ┌ Warning: Specifying `termination_condition = NonlinearSolveBase.NormTerminationMode{typeof(NonlinearSolveBase.Linf_NORM)}(NonlinearSolveBase.Linf_NORM)` for `SimpleLimitedMemoryBroyden` with `SArray` is not non-allocating. Use either `termination_condition = AbsNormTerminationMode(Base.Fix2(norm, Inf))` or `termination_condition = nothing`. └ @ SimpleNonlinearSolve ~/.julia/packages/SimpleNonlinearSolve/1h0BO/src/lbroyden.jl:47 SimpleNonlinearSolve.jl: Error During Test at /home/pkgeval/.julia/packages/SimpleNonlinearSolve/1h0BO/test/runtests.jl:11 Got exception outside of a @test LoadError: MethodError: no method matching loss_function_vjp!(::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}, ::Vector{Float64}, ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}) Closest candidates are: loss_function_vjp!(::Any, ::Any, ::Any, !Matched::Any) @ Main.var"##5783" ~/.julia/packages/SimpleNonlinearSolve/1h0BO/test/core/forward_diff_tests.jl:114 Stacktrace: [1] (::NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing})(du::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}, u::Vector{Float64}, p::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}) @ NonlinearSolveBase ~/.julia/packages/NonlinearSolveBase/jA9TW/src/autodiff.jl:123 [2] (::NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}})(p::Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}) @ NonlinearSolveBaseForwardDiffExt ~/.julia/packages/NonlinearSolveBase/jA9TW/ext/NonlinearSolveBaseForwardDiffExt.jl:85 [3] vector_mode_dual_eval!(f::NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, cfg::ForwardDiff.JacobianConfig{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}}, x::Vector{Float64}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/apiutils.jl:24 [4] vector_mode_jacobian(f::NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, x::Vector{Float64}, cfg::ForwardDiff.JacobianConfig{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/jacobian.jl:129 [5] jacobian(f::NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, x::Vector{Float64}, cfg::ForwardDiff.JacobianConfig{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}}, ::Val{true}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/jacobian.jl:22 [6] jacobian(f::NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, x::Vector{Float64}, cfg::ForwardDiff.JacobianConfig{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, Float64}, Float64, 5}}}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/jacobian.jl:19 [7] jacobian(f::NonlinearSolveBaseForwardDiffExt.var"#4#5"{NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, Vector{Float64}}, x::Vector{Float64}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/jacobian.jl:19 [8] nonlinearsolve_∂f_∂p(prob::SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, f::NonlinearSolveBase.var"#37#44"{SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, Nothing, Nothing, Nothing}, Nothing}, u::Vector{Float64}, p::Vector{Float64}) @ NonlinearSolveBaseForwardDiffExt ~/.julia/packages/NonlinearSolveBase/jA9TW/ext/NonlinearSolveBaseForwardDiffExt.jl:96 [9] nonlinearsolve_forwarddiff_solve(::SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, ::SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}; kwargs::@Kwargs{}) @ NonlinearSolveBaseForwardDiffExt ~/.julia/packages/NonlinearSolveBase/jA9TW/ext/NonlinearSolveBaseForwardDiffExt.jl:64 [10] nonlinearsolve_forwarddiff_solve(::SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, ::SimpleNonlinearSolve.SimpleNewtonRaphson{ADTypes.AutoForwardDiff{nothing, Nothing}}) @ NonlinearSolveBaseForwardDiffExt ~/.julia/packages/NonlinearSolveBase/jA9TW/ext/NonlinearSolveBaseForwardDiffExt.jl:43 [11] solve(::SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, ::SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}; kwargs::@Kwargs{}) @ SimpleNonlinearSolve ~/.julia/packages/SimpleNonlinearSolve/1h0BO/src/SimpleNonlinearSolve.jl:94 [12] solve(::SciMLBase.NonlinearLeastSquaresProblem{Vector{Float64}, true, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, typeof(Main.var"##5783".loss_function!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, typeof(Main.var"##5783".loss_function_vjp!), Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Vector{Float64}, Nothing}, @Kwargs{}}, ::SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}) @ SimpleNonlinearSolve ~/.julia/packages/SimpleNonlinearSolve/1h0BO/src/SimpleNonlinearSolve.jl:87 [13] (::Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}})(p::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}) @ Main.var"##5783" ~/.julia/packages/SimpleNonlinearSolve/1h0BO/test/core/forward_diff_tests.jl:183 [14] vector_mode_dual_eval! @ ~/.julia/packages/ForwardDiff/UBbGT/src/apiutils.jl:24 [inlined] [15] vector_mode_gradient(f::Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:91 [16] gradient @ ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:20 [inlined] [17] gradient(f::Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, Float64}, Float64, 5}}}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:17 [18] gradient(f::Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, x::Vector{Float64}) @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:17 [19] gradient(::Main.var"##5783".var"#obj_6#8"{SimpleNonlinearSolve.SimpleNewtonRaphson{Nothing}}, ::ADTypes.AutoForwardDiff{nothing, Nothing}, ::Vector{Float64}) @ DifferentiationInterfaceForwardDiffExt ~/.julia/packages/DifferentiationInterface/F5K7v/ext/DifferentiationInterfaceForwardDiffExt/onearg.jl:295 [20] top-level scope @ ~/.julia/packages/SimpleNonlinearSolve/1h0BO/test/core/forward_diff_tests.jl:191 [21] eval @ ./boot.jl:385 [inlined] [22] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2146 [23] include_string(m::Module, txt::String, fname::String) @ Base ./loading.jl:2156 [24] #invokelatest#2 @ ./essentials.jl:892 [inlined] [25] invokelatest @ ./essentials.jl:889 [inlined] [26] #8 @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:118 [inlined] [27] withpath(f::TestItemRunner.var"#8#12"{String, String, Module}, path::String) @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/vendored_code.jl:7 [28] #7 @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:117 [inlined] [29] cd(f::TestItemRunner.var"#7#11"{String, String, Module}, dir::String) @ Base.Filesystem ./file.jl:112 [30] run_testitem(filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:116 [31] run_tests(path::String; filter::Nothing, verbose::Bool) @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:221 [32] run_tests(path::String) @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:133 [33] macro expansion @ ~/.julia/packages/SimpleNonlinearSolve/1h0BO/test/runtests.jl:13 [inlined] [34] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined] [35] top-level scope @ ~/.julia/packages/SimpleNonlinearSolve/1h0BO/test/runtests.jl:12 [36] include(fname::String) @ Base.MainInclude ./client.jl:494 [37] top-level scope @ none:6 [38] eval @ ./boot.jl:385 [inlined] [39] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [40] _start() @ Base ./client.jl:557 in expression starting at /home/pkgeval/.julia/packages/SimpleNonlinearSolve/1h0BO/test/core/forward_diff_tests.jl:121 Testing SimpleNonlinearSolve tests passed Testing completed after 1847.37s PkgEval succeeded after 1984.25s