Package evaluation of DiffEqBase on Julia 1.13.0-DEV.449 (8d6b63c3a6*) started at 2025-04-29T04:04:54.044 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 6.07s ################################################################################ # Installation # Installing DiffEqBase... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [2b5f629d] + DiffEqBase v6.170.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.18.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [38540f10] + CommonSolve v0.2.4 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.5.8 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [2b5f629d] + DiffEqBase v6.170.1 [ffbed154] + DocStringExtensions v0.9.4 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.8 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.1.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [615f187c] + IfElse v0.1.1 [3587e190] + InverseFunctions v0.1.17 [82899510] + IteratorInterfaceExtensions v1.0.0 [ae98c720] + Jieko v0.2.1 [b964fa9f] + LaTeXStrings v1.4.0 [10f19ff3] + LayoutPointers v0.1.17 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [2e0e35c7] + Moshi v0.3.5 [46d2c3a1] + MuladdMacro v0.2.4 [bac558e1] + OrderedCollections v1.8.0 [d96e819e] + Parameters v0.12.3 [f517fe37] + Polyester v0.7.16 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.33.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.14 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.86.2 [c0aeaf25] + SciMLOperators v0.3.13 [53ae85a6] + SciMLStructures v1.7.0 [efcf1570] + Setfield v1.1.2 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [7792a7ef] + StrideArraysCore v0.5.7 [892a3eda] + StringManipulation v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.40 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [8290d209] + ThreadingUtilities v0.5.3 [781d530d] + TruncatedStacktraces v1.4.0 [3a884ed6] + UnPack v1.0.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.12.0+0 Installation completed after 2.62s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 215.3s ################################################################################ # Testing # Testing DiffEqBase Status `/tmp/jl_OSRTmn/Project.toml` [4c88cf16] Aqua v0.8.11 [4fba245c] ArrayInterface v7.18.0 [6e4b80f9] BenchmarkTools v1.6.0 [2569d6c7] ConcreteStructs v0.2.3 [864edb3b] DataStructures v0.18.22 [2b5f629d] DiffEqBase v6.170.1 [31c24e10] Distributions v0.25.119 [ffbed154] DocStringExtensions v0.9.4 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.8 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.1.2 ⌃ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [2ee39098] LabelledArrays v1.16.1 [eff96d63] Measurements v2.12.0 [0987c9cc] MonteCarloMeasurements v1.4.5 [46d2c3a1] MuladdMacro v0.2.4 [d96e819e] Parameters v0.12.3 [91a5bcdd] Plots v1.40.13 [aea7be01] PrecompileTools v1.3.2 [731186ca] RecursiveArrayTools v3.33.0 [189a3867] Reexport v1.2.2 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl Test Summary: | Pass Total Time Callbacks | 17 17 9.1s 9.416679 seconds (3.13 M allocations: 187.988 MiB, 6.17% gc time, 58.69% compilation time: 23% of which was recompilation) Precompiling packages... 3821.5 ms ✓ FastPower → FastPowerForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 20 already precompiled. Precompiling packages... 3771.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 58 already precompiled. Precompiling packages... Info Given DiffEqBaseForwardDiffExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl 8898.0 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 1 dependency successfully precompiled in 9 seconds. 109 already precompiled. 1 dependency had output during precompilation: ┌ DiffEqBase → DiffEqBaseForwardDiffExt │ [Output was shown above] └ Test Summary: | Pass Total Time Internal Rootfinders | 18 18 25.8s 25.815305 seconds (3.57 M allocations: 255.547 MiB, 0.58% gc time, 31.57% compilation time: 77% of which was recompilation) Test Summary: | Pass Total Time Plot Vars | 10 10 4.5s 4.640217 seconds (3.01 M allocations: 162.840 MiB, 1.18% gc time, 98.66% compilation time: 3% of which was recompilation) WARNING: Method definition f(Any, Any, Any, Any) in module ##Problem Creation Tests#281 at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/problem_creation_tests.jl:25 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/problem_creation_tests.jl:55. WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Problem Creation Tests#281 at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/problem_creation_tests.jl:45 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/problem_creation_tests.jl:84. WARNING: Method definition f(Any, Any, Any) in module ##Problem Creation Tests#281 at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/problem_creation_tests.jl:106 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/problem_creation_tests.jl:122. Test Summary: | Pass Broken Total Time Problem Creation Tests | 8 7 15 9.1s 9.145378 seconds (6.95 M allocations: 431.426 MiB, 1.49% gc time, 96.12% compilation time: 5% of which was recompilation) Test Summary: | Pass Total Time Export tests | 1 1 0.1s 0.066031 seconds (8.36 k allocations: 449.516 KiB, 86.36% compilation time) ┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance. │ Consider using tuples instead. └ @ SciMLBase ~/.julia/packages/SciMLBase/7BHQj/src/performance_warnings.jl:33 Test Summary: | Pass Broken Total Time Remake tests | 31 4 35 11.1s 11.148944 seconds (8.30 M allocations: 490.790 MiB, 1.80% gc time, 96.91% compilation time: 10% of which was recompilation) Precompiling packages... Info Given DiffEqBaseDistributionsExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl 7788.8 ms ✓ DiffEqBase → DiffEqBaseDistributionsExt 1 dependency successfully precompiled in 12 seconds. 129 already precompiled. 1 dependency had output during precompilation: ┌ DiffEqBase → DiffEqBaseDistributionsExt │ [Output was shown above] └ Test Summary: | Pass Total Time High Level solve Interface | 20 20 18.9s 18.859381 seconds (7.46 M allocations: 465.515 MiB, 0.93% gc time, 23.92% compilation time: 31% of which was recompilation) Test Summary: | Pass Total Time DiffEqFunction tests | 12 12 7.5s 7.523792 seconds (5.54 M allocations: 327.239 MiB, 1.21% gc time, 97.25% compilation time: 19% of which was recompilation) Test Summary: | Total Time Internal Euler | 0 4.1s 4.130745 seconds (3.58 M allocations: 193.516 MiB, 2.09% gc time, 99.23% compilation time) Test Summary: | Pass Total Time Norm | 3 3 4.2s 4.234902 seconds (4.31 M allocations: 226.902 MiB, 1.91% gc time, 99.57% compilation time) Precompiling packages... Info Given DiffEqBaseUnitfulExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl 7265.4 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 1 dependency successfully precompiled in 8 seconds. 99 already precompiled. 1 dependency had output during precompilation: ┌ DiffEqBase → DiffEqBaseUnitfulExt │ [Output was shown above] └ Test Summary: | Pass Total Time Utils | 21 21 14.9s 14.928108 seconds (3.13 M allocations: 193.830 MiB, 0.88% gc time, 28.87% compilation time: 21% of which was recompilation) Precompiling packages... 9951.2 ms ✓ FastPower → FastPowerReverseDiffExt 1 dependency successfully precompiled in 10 seconds. 35 already precompiled. Precompiling packages... 9711.6 ms ✓ ArrayInterface → ArrayInterfaceReverseDiffExt 1 dependency successfully precompiled in 10 seconds. 39 already precompiled. Precompiling packages... 6844.7 ms ✓ UnitfulLatexify 114222.6 ms ✓ Plots 20318.8 ms ✓ Plots → UnitfulExt 3 dependencies successfully precompiled in 142 seconds. 179 already precompiled. Precompiling packages... 2221.7 ms ✓ ColorVectorSpace → SpecialFunctionsExt 1 dependency successfully precompiled in 3 seconds. 19 already precompiled. p = Dual{Nothing}(2.0) p = (Dual{Nothing}(2.0), 2.0) p = ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0)] p = (ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0)], 2.0) p = (2.0, Dual{Nothing}(2.0)) p = (x = 2.0, y = Dual{Nothing}(2.0)) p = (x = 2.0, y = ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0)]) p = (x = 2.0, y = Vector{ForwardDiff.Dual{Nothing, Float64, 0}}[[Dual{Nothing}(2.0)]]) p = Set(ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0)]) p = (SciMLBase.NullParameters(), Dual{Nothing}(2.0)) p = ((), Dual{Nothing}(2.0)) p = Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)) p = (Plot{Plots.GRBackend() n=0}, Dual{Nothing}(2.0)) p = Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 1}}[(1.0, Dual{Nothing}(1.0,1.0))] p = Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)) p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)), SciMLBase.NullParameters()) p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)), Dual{Nothing}(2.0)) p = (Dual{Nothing}(2.0), Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0))) p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0)) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))] filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}(2.0, ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0), Dual{Nothing}(2.0)])] filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}(2.0, (2.0, Dual{Nothing}(2.0)))] filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = (NamedTuple(), Dual{Nothing}(2.0)) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = (Main.var"##ForwardDiff Dual Detection#289".Mod, Dual{Nothing}(2.0)) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = (Main.var"##ForwardDiff Dual Detection#289".var"#2#3"(), Dual{Nothing}(2.0)) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = (Ptr{Float64}(0x000075343d249560), Dual{Nothing}(2.0)) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})] p = Returns{@NamedTuple{a::Int64, b::Float64, c::ForwardDiff.Dual{Nothing, Float32, 0}}}((a = 2, b = 1.3, c = Dual{Nothing}(2.0))) filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float32, 0})] p = Dict{Symbol, Real}(:y => Dual{Nothing}(2.0), :x => 2.0) p = Dict{Symbol, Any}(:y => ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0)], :x => 2.0) p = Dict{Symbol, Any}(:y => @NamedTuple{x::Tuple{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}, y::Float64}[(x = (Dual{Nothing}(2.0), 2.0), y = 2.0)], :x => 2.0) p = Dict{Symbol, Any}(:y => @NamedTuple{x::Vector{Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}}, y::Float64}[(x = [Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}(2.0, ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0), Dual{Nothing}(2.0)])], y = 2.0)], :x => 2.0) p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}("2", ForwardDiff.Dual{Nothing, Float64, 0}[Dual{Nothing}(2.0), Dual{Nothing}(2.0)])] p = Dict{Symbol, Any}(:y => Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0), :x => Main.var"##ForwardDiff Dual Detection#289".MyStruct{String, Vector{Number}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{String, Vector{Number}}("2", Number[2.0, Main.var"##ForwardDiff Dual Detection#289".MyStruct{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 2.0)])]) p = (Dict(:x => nothing), Dual{Nothing}(2.0)) p = Main.var"##ForwardDiff Dual Detection#289".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef) p = Any[Main.var"##ForwardDiff Dual Detection#289".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef), 2.0] p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))] p = (x = 2.0, y = Vector{Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]]) p = (x = [0.0, 5.0e-324], y = Vector{Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]]) p = (x = Any[#undef #undef; #undef #undef], y = Vector{Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]]) p = Set(Any[Dual{Nothing}(2.0), "s"]) p = Set(Any[Dual{Nothing}(2.0), SciMLBase.NullParameters()]) p = Set(Any[Dual{Nothing}(2.0), [6.3669337533369e-310 6.36694508013253e-310; 6.36694506916586e-310 6.3669450691437e-310]]) p = () p = NamedTuple() p = [2.0] p = [2.0, 2.0] p = [2.0, 2.0] p = Number[2.0, Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Float32}(2.0, 2.0f0)] p = Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}() p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)]), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)])) p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)]), 2.0) p = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)]) p = (x = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)]), y = 2.0) p = Any[2.0, (2.0,), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)])] p = Any[2.0, ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506916586e-310,6.3669450692544e-310,6.36694506927653e-310,6.3669450685552e-310,6.36694506936506e-310,6.3669450693872e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506956427e-310,6.36694506963067e-310,6.3669450696528e-310,6.3669450685552e-310,6.3669450685552e-310,6.3669450697192e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.36694506974134e-310,6.36694507033897e-310,6.3669450703611e-310,6.36694507038323e-310,6.36694507047177e-310,6.36694507053817e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450705603e-310,6.36694507071525e-310,6.3669450685552e-310,6.36694507078165e-310,6.3669450685552e-310,6.3669450710251e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.3669450717777e-310,6.3669450718441e-310,6.36694507208756e-310,6.3669450721097e-310,6.36694507239744e-310,6.36694507241958e-310)]), Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Float32}(2.0, 2.0f0)] WARNING: Method definition f(Any, Any, Any) in module ##ForwardDiff Dual Detection#289 at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/forwarddiff_dual_detection.jl:334 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/Qw6nY/test/forwarddiff_dual_detection.jl:341. Test Summary: | Pass Broken Total Time ForwardDiff Dual Detection | 355 9 364 4m26.6s 266.592400 seconds (45.43 M allocations: 2.425 GiB, 0.75% gc time, 26.83% compilation time: 22% of which was recompilation) Test Summary: | Pass Total Time ODE default norm | 30 30 3.5s 3.619311 seconds (1.93 M allocations: 100.322 MiB, 98.00% compilation time: 3% of which was recompilation) Test Summary: | Pass Total Time ODE default unstable check | 18 18 2.1s 2.064336 seconds (697.59 k allocations: 37.501 MiB, 5.18% gc time, 97.72% compilation time) 382.626286 seconds (97.40 M allocations: 5.446 GiB, 0.99% gc time, 36.56% compilation time: 21% of which was recompilation) Testing DiffEqBase tests passed Testing completed after 405.16s PkgEval succeeded after 657.54s