Package evaluation to test DiffEqBase on Julia 1.14.0-DEV.2213 (dc778b8d37*) started at 2026-05-21T09:27:09.212


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 15.67s


################################################################################
# Installation
#

Installing DiffEqBase...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [2b5f629d] + DiffEqBase v7.5.0
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [47edcb42] + ADTypes v1.22.0
  [7d9f7c33] + Accessors v0.1.44
  [79e6a3ab] + Adapt v4.6.0
  [4fba245c] + ArrayInterface v7.25.0
  [70df07ce] + BracketingNonlinearSolve v1.12.1
  [38540f10] + CommonSolve v0.2.6
  [34da2185] + Compat v4.18.1
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.4
  [187b0558] + ConstructionBase v1.6.0
  [2b5f629d] + DiffEqBase v7.5.0
  [a0c0ee7d] + DifferentiationInterface v0.7.18
  [ffbed154] + DocStringExtensions v0.9.5
  [4e289a0a] + EnumX v1.0.7
  [f151be2c] + EnzymeCore v0.8.20
  [e2ba6199] + ExprTools v0.1.10
  [7034ab61] + FastBroadcast v1.3.2
  [9aa1b823] + FastClosures v0.3.2
  [a4df4552] + FastPower v1.3.1
  [069b7b12] + FunctionWrappers v1.1.3
  [77dc65aa] + FunctionWrappersWrappers v1.8.0
  [46192b85] + GPUArraysCore v0.2.0
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.6
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
  [1914dd2f] + MacroTools v0.5.16
  [bb5d69b7] + MaybeInplace v0.1.4
  [46d2c3a1] + MuladdMacro v0.2.4
  [be0214bd] + NonlinearSolveBase v2.26.0
  [d236fae5] + PreallocationTools v1.2.0
  [aea7be01] + PrecompileTools v1.3.4
  [21216c6a] + Preferences v1.5.2
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v4.3.0
  [189a3867] + Reexport v1.2.2
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.19
  [1bc83da4] + SafeTestsets v0.1.0
  [0bca4576] + SciMLBase v3.14.0
  [19f34311] + SciMLJacobianOperators v0.1.13
  [a6db7da4] + SciMLLogging v2.0.0
  [c0aeaf25] + SciMLOperators v1.21.0
  [431bcebd] + SciMLPublic v1.0.1
  [53ae85a6] + SciMLStructures v1.10.0
  [efcf1570] + Setfield v1.1.2
  [1e83bf80] + StaticArraysCore v1.4.4
  [10745b16] + Statistics v1.11.1
  [2efcf032] + SymbolicIndexingInterface v0.3.48
  [a759f4b9] + TimerOutputs v0.5.29
  [781d530d] + TruncatedStacktraces v1.4.0
  [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 v1.13.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.13.0
  [9e88b42a] + Serialization v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [f489334b] + StyledStrings v1.13.0
  [fa267f1f] + TOML v1.0.3
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0
  [4536629a] + OpenBLAS_jll v0.3.33+0
  [8e850b90] + libblastrampoline_jll v5.15.0+0

Installation completed after 5.39s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling project...
   1.9 s  ✓ FastPower → FastPowerMeasurementsExt
   2.3 s  ✓ DynamicQuantities → DynamicQuantitiesRecursiveArrayToolsExt
   4.0 s  ✓ SciMLBase → SciMLBaseMeasurementsExt
   4.2 s  ✓ DynamicQuantities → DynamicQuantitiesSciMLBaseExt
   4.3 s  ✓ FlexUnits → ForwardDiffExt
  12.9 s  ✓ FastPower → FastPowerReverseDiffExt
  12.0 s  ✓ PreallocationTools → PreallocationToolsReverseDiffExt
  14.4 s  ✓ SciMLBase → SciMLBaseReverseDiffExt
  12.8 s  ✓ NonlinearSolveBase → NonlinearSolveBaseReverseDiffExt
   3.7 s  ✓ DiffEqBase → DiffEqBaseDynamicQuantitiesExt
  12.2 s  ✓ DiffEqBase → DiffEqBaseReverseDiffExt
   3.2 s  ✓ DiffEqBase → DiffEqBaseMeasurementsExt
   5.0 s  ✓ DiffEqBase → DiffEqBaseFlexUnitsExt
  13 dependencies successfully precompiled in 95 seconds. 210 already precompiled.

Precompilation completed after 120.55s


################################################################################
# Testing
#

     Testing DiffEqBase
      Status `/tmp/jl_owGoAY/Project.toml`
  [4c88cf16] Aqua v0.8.14
  [4fba245c] ArrayInterface v7.25.0
  [70df07ce] BracketingNonlinearSolve v1.12.1
  [2569d6c7] ConcreteStructs v0.2.4
  [2b5f629d] DiffEqBase v7.5.0
  [459566f4] DiffEqCallbacks v4.17.0
  [31c24e10] Distributions v0.25.125
  [ffbed154] DocStringExtensions v0.9.5
  [06fc5a27] DynamicQuantities v1.13.0
  [7034ab61] FastBroadcast v1.3.2
  [9aa1b823] FastClosures v0.3.2
  [a4df4552] FastPower v1.3.1
  [76e01b6b] FlexUnits v0.5.2
  [f6369f11] ForwardDiff v1.3.3
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v1.8.0
  [2ee39098] LabelledArrays v1.19.0
  [eff96d63] Measurements v2.14.1
  [46d2c3a1] MuladdMacro v0.2.4
  [aea7be01] PrecompileTools v1.3.4
  [731186ca] RecursiveArrayTools v4.3.0
  [c384ba91] RecursiveArrayToolsRaggedArrays v1.1.0
  [189a3867] Reexport v1.2.2
  [37e2e3b7] ReverseDiff v1.16.2
  [1bc83da4] SafeTestsets v0.1.0
  [0bca4576] SciMLBase v3.14.0
  [a6db7da4] SciMLLogging v2.0.0
  [c0aeaf25] SciMLOperators v1.21.0
  [53ae85a6] SciMLStructures v1.10.0
  [efcf1570] Setfield v1.1.2
  [90137ffa] StaticArrays v1.9.18
  [1e83bf80] StaticArraysCore v1.4.4
  [2efcf032] SymbolicIndexingInterface v0.3.48
  [781d530d] TruncatedStacktraces v1.4.0
  [1986cc42] Unitful v1.28.0
  [8ba89e20] Distributed v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [44cfe95a] Pkg v1.14.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_owGoAY/Manifest.toml`
  [47edcb42] ADTypes v1.22.0
  [7d9f7c33] Accessors v0.1.44
  [79e6a3ab] Adapt v4.6.0
  [66dad0bd] AliasTables v1.1.3
  [4c88cf16] Aqua v0.8.14
  [4fba245c] ArrayInterface v7.25.0
  [70df07ce] BracketingNonlinearSolve v1.12.1
  [49dc2e85] Calculus v0.5.2
  [d360d2e6] ChainRulesCore v1.26.1
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.18.1
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.4
  [187b0558] ConstructionBase v1.6.0
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.19.4
  [2b5f629d] DiffEqBase v7.5.0
  [459566f4] DiffEqCallbacks v4.17.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.18
  [8d63f2c5] DispatchDoctor v0.4.28
  [31c24e10] Distributions v0.25.125
  [ffbed154] DocStringExtensions v0.9.5
  [06fc5a27] DynamicQuantities v1.13.0
  [4e289a0a] EnumX v1.0.7
  [f151be2c] EnzymeCore v0.8.20
  [e2ba6199] ExprTools v0.1.10
  [7034ab61] FastBroadcast v1.3.2
  [9aa1b823] FastClosures v0.3.2
  [a4df4552] FastPower v1.3.1
  [1a297f60] FillArrays v1.16.0
  [76e01b6b] FlexUnits v0.5.2
  [f6369f11] ForwardDiff v1.3.3
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v1.8.0
  [46192b85] GPUArraysCore v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.8.0
  [2ee39098] LabelledArrays v1.19.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [1914dd2f] MacroTools v0.5.16
  [bb5d69b7] MaybeInplace v0.1.4
  [eff96d63] Measurements v2.14.1
  [e1d29d7a] Missings v1.2.0
  [46d2c3a1] MuladdMacro v0.2.4
  [77ba4419] NaNMath v1.1.3
  [be0214bd] NonlinearSolveBase v2.26.0
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.37
  [d236fae5] PreallocationTools v1.2.0
  [aea7be01] PrecompileTools v1.3.4
  [21216c6a] Preferences v1.5.2
  [43287f4e] PtrArrays v1.4.0
  [1fd47b50] QuadGK v2.11.3
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v4.3.0
  [c384ba91] RecursiveArrayToolsRaggedArrays v1.1.0
  [189a3867] Reexport v1.2.2
  [37e2e3b7] ReverseDiff v1.16.2
  [79098fc4] Rmath v0.9.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.19
  [1bc83da4] SafeTestsets v0.1.0
  [0bca4576] SciMLBase v3.14.0
  [19f34311] SciMLJacobianOperators v0.1.13
  [a6db7da4] SciMLLogging v2.0.0
  [c0aeaf25] SciMLOperators v1.21.0
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
  [efcf1570] Setfield v1.1.2
  [a2af1166] SortingAlgorithms v1.2.2
  [276daf66] SpecialFunctions v2.7.2
  [90137ffa] StaticArrays v1.9.18
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [2efcf032] SymbolicIndexingInterface v0.3.48
  [1c621080] TestItems v1.0.0
  [a759f4b9] TimerOutputs v0.5.29
  [410a4b4d] Tricks v0.1.13
  [781d530d] TruncatedStacktraces v1.4.0
  [1986cc42] Unitful v1.28.0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [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 v1.13.0
  [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
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.14.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.13.0
  [9e88b42a] Serialization v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [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 v1.5.1+0
  [deac9b47] LibCURL_jll v8.20.0+1
  [e37daf67] LibGit2_jll v1.9.3+0
  [29816b5a] LibSSH2_jll v1.11.101+0
  [14a3606d] MozillaCACerts_jll v2026.5.14
  [4536629a] OpenBLAS_jll v0.3.33+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.6+0
  [efcefdf7] PCRE2_jll v10.47.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.2+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.69.0+0
  [3f19e933] p7zip_jll v17.8.0+0
     Testing Running tests...
Test Summary: | Pass  Total  Time
Callbacks     |   23     23  6.0s
  6.556759 seconds (2.45 M allocations: 151.007 MiB, 15.93% gc time, 58.86% compilation time)
Test Summary: | Pass  Total  Time
Plot Vars     |   10     10  8.2s
  8.180000 seconds (2.78 M allocations: 158.403 MiB, 4.99% gc time, 99.28% compilation time)
Test Summary:          | Pass  Broken  Total  Time
Problem Creation Tests |    8       7     15  9.3s
  9.287445 seconds (5.92 M allocations: 358.248 MiB, 1.48% gc time, 97.23% compilation time: 8% of which was recompilation)
Test Summary: | Pass  Total  Time
Export tests  |    1      1  0.1s
  0.060719 seconds (7.54 k allocations: 407.281 KiB, 79.67% compilation time)
┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance.
│ Consider using tuples instead.
└ @ SciMLBase ~/.julia/packages/SciMLBase/xpmSL/src/performance_warnings.jl:32
Test Summary: | Pass  Broken  Total   Time
Remake tests  |   31       4     35  11.5s
 11.473393 seconds (7.59 M allocations: 504.391 MiB, 4.78% gc time, 97.93% compilation time: <1% of which was recompilation)
Test Summary:              | Pass  Total  Time
High Level solve Interface |   17     17  4.8s
  4.778878 seconds (3.52 M allocations: 207.099 MiB, 2.14% gc time, 65.09% compilation time: 34% of which was recompilation)
Test Summary:        | Pass  Total  Time
DiffEqFunction tests |   12     12  8.4s
  8.380881 seconds (4.97 M allocations: 347.556 MiB, 1.52% gc time, 97.02% compilation time: 14% of which was recompilation)
Test Summary:  | Total  Time
Internal Euler |     0  4.8s
  4.759994 seconds (3.45 M allocations: 198.982 MiB, 2.75% gc time, 99.44% compilation time)
Test Summary: | Pass  Total  Time
Norm          |    3      3  3.8s
  3.787120 seconds (1.71 M allocations: 98.063 MiB, 72.48% compilation time: 28% of which was recompilation)
Test Summary: | Pass  Total  Time
Utils         |   21     21  5.9s
  5.931072 seconds (2.85 M allocations: 164.400 MiB, 1.58% gc time, 61.61% compilation time: 32% of which was recompilation)
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#158".MyStruct}(2.0))
p = 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#158".MyStruct}(2.0))
p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#158".MyStruct}(2.0)), SciMLBase.NullParameters())
p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#158".MyStruct}(2.0)), Dual{Nothing}(2.0))
p = (Dual{Nothing}(2.0), Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#158".MyStruct}(2.0)))
p = Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#158".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#158".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#158".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#158".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}(0x000076f58b31f200), 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#158".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}}, y::Float64}[(x = [Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct}(2.0), :x => Main.var"##ForwardDiff Dual Detection#158".MyStruct{String, Vector{Number}}[Main.var"##ForwardDiff Dual Detection#158".MyStruct{String, Vector{Number}}("2", Number[2.0, Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef)
p = Any[Main.var"##ForwardDiff Dual Detection#158".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef), 2.0]
p = Main.var"##ForwardDiff Dual Detection#158".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#158".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))]
p = (x = 2.0, y = Vector{Main.var"##ForwardDiff Dual Detection#158".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#158".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]])
p = (x = [0.0, 6.4622435893885e-310], y = Vector{Main.var"##ForwardDiff Dual Detection#158".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#158".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#158".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#158".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), [2.130317216e-314 6.4622428211109e-310; 6.46226035168733e-310 6.4622569754976e-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#158".MyStruct{Float64, Float32}(2.0, 2.0f0)]
p = Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}()
p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)]), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)]))
p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)]), 2.0)
p = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)])
p = (x = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)]), y = 2.0)
p = Any[2.0, (2.0,), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)])]
p = Any[2.0, ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#158".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(5.0e-324,1.0e-323,1.5e-323,2.0e-323,2.5e-323,3.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(3.5e-323,4.0e-323,4.4e-323,5.0e-323,5.4e-323,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,NaN,NaN,NaN,6.0e-323), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.4e-323,7.0e-323,7.4e-323,NaN,NaN,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(NaN,NaN,8.0e-323,8.4e-323,9.0e-323,9.4e-323)]), Main.var"##ForwardDiff Dual Detection#158".MyStruct{Float64, Float32}(2.0, 2.0f0)]
Test Summary:              | Pass  Broken  Total   Time
ForwardDiff Dual Detection |  355       9    364  36.4s
 36.368761 seconds (22.30 M allocations: 1.180 GiB, 2.58% gc time, 74.18% compilation time: 8% of which was recompilation)
Test Summary:    | Pass  Total  Time
ODE default norm |   34     34  3.6s
  3.607479 seconds (1.84 M allocations: 100.328 MiB, 97.02% compilation time: 19% of which was recompilation)
Test Summary:               | Pass  Total  Time
DynamicQuantities extension |   10     10  5.1s
  5.128021 seconds (1.99 M allocations: 120.703 MiB, 1.31% gc time, 77.00% compilation time: 4% of which was recompilation)
Test Summary:              | Pass  Total  Time
ODE default unstable check |   18     18  2.0s
  2.054287 seconds (751.97 k allocations: 43.284 MiB, 97.44% compilation time)
Test Summary:          | Pass  Total  Time
Problem Kwargs Merging |   23     23  1.7s
  1.660099 seconds (678.92 k allocations: 37.636 MiB, 89.57% compilation time: 10% of which was recompilation)
Test Summary:     | Pass  Total  Time
Verbose Inference |    2      2  2.1s
  2.124716 seconds (1.37 M allocations: 79.890 MiB, 98.91% compilation time: 97% of which was recompilation)
114.197722 seconds (64.21 M allocations: 3.691 GiB, 3.15% gc time, 82.95% compilation time: 11% of which was recompilation)
     Testing DiffEqBase tests passed 

Testing completed after 151.43s

PkgEval succeeded after 306.67s