Package evaluation to test DiffEqBase on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-02T20:54:07.190


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

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.10`

Set-up completed after 5.09s


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

Installing DiffEqBase...
   Resolving package versions...
    Updating `~/.julia/environments/v1.10/Project.toml`
  [2b5f629d] + DiffEqBase v6.200.0
    Updating `~/.julia/environments/v1.10/Manifest.toml`
  [47edcb42] + ADTypes v1.21.0
  [7d9f7c33] + Accessors v0.1.43
  [79e6a3ab] + Adapt v4.4.0
  [4fba245c] + ArrayInterface v7.22.0
  [62783981] + BitTwiddlingConvenienceFunctions v0.1.6
  [70df07ce] + BracketingNonlinearSolve v1.6.2
  [2a0fbf3d] + CPUSummary v0.2.7
  [fb6a15b2] + CloseOpenIntervals v0.1.13
  [38540f10] + CommonSolve v0.2.6
  [f70d9fcc] + CommonWorldInvalidations v1.0.0
  [34da2185] + Compat v4.18.1
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [187b0558] + ConstructionBase v1.6.0
  [adafc99b] + CpuId v0.3.1
  [2b5f629d] + DiffEqBase v6.200.0
  [a0c0ee7d] + DifferentiationInterface v0.7.16
  [ffbed154] + DocStringExtensions v0.9.5
  [4e289a0a] + EnumX v1.0.6
  [f151be2c] + EnzymeCore v0.8.18
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [7034ab61] + FastBroadcast v0.3.5
  [9aa1b823] + FastClosures v0.3.2
  [a4df4552] + FastPower v1.3.1
  [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
  [10f19ff3] + LayoutPointers v0.1.17
  [e6f89c97] + LoggingExtras v1.2.0
  [1914dd2f] + MacroTools v0.5.16
  [d125e4d3] + ManualMemory v0.1.8
  [bb5d69b7] + MaybeInplace v0.1.4
  [2e0e35c7] + Moshi v0.3.7
  [46d2c3a1] + MuladdMacro v0.2.4
  [be0214bd] + NonlinearSolveBase v2.11.2
  [f517fe37] + Polyester v0.7.18
  [1d0040c9] + PolyesterWeave v0.2.2
  [d236fae5] + PreallocationTools v1.1.2
⌅ [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.5.1
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v3.47.0
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.17
  [94e857df] + SIMDTypes v0.1.0
  [0bca4576] + SciMLBase v2.136.0
  [19f34311] + SciMLJacobianOperators v0.1.12
  [a6db7da4] + SciMLLogging v1.8.0
  [c0aeaf25] + SciMLOperators v1.15.1
  [431bcebd] + SciMLPublic v1.0.1
  [53ae85a6] + SciMLStructures v1.10.0
  [efcf1570] + Setfield v1.1.2
  [aedffcd0] + Static v1.3.1
  [0d7ed370] + StaticArrayInterface v1.8.0
  [1e83bf80] + StaticArraysCore v1.4.4
  [7792a7ef] + StrideArraysCore v0.5.8
  [2efcf032] + SymbolicIndexingInterface v0.3.46
  [8290d209] + ThreadingUtilities v0.5.5
  [a759f4b9] + TimerOutputs v0.5.29
  [781d530d] + TruncatedStacktraces v1.4.0
  [56f22d72] + Artifacts
  [2a0f44e3] + Base64
  [ade2ca70] + Dates
  [8ba89e20] + Distributed
  [9fa8497b] + Future
  [b77e0a4c] + InteractiveUtils
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [56ddb016] + Logging
  [d6f4376e] + Markdown
  [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
  [4536629a] + OpenBLAS_jll v0.3.23+5
  [bea87d4a] + SuiteSparse_jll v7.2.1+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 8.76s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling packages...
   2583.0 ms  ✓ FastPower → FastPowerMeasurementsExt
   8215.4 ms  ✓ DiffEqBase → DiffEqBaseMeasurementsExt
  2 dependencies successfully precompiled in 37 seconds. 191 already precompiled.

Precompilation completed after 26.8s


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

     Testing DiffEqBase
      Status `/tmp/jl_cQAnLB/Project.toml`
  [4c88cf16] Aqua v0.8.14
  [4fba245c] ArrayInterface v7.22.0
  [70df07ce] BracketingNonlinearSolve v1.6.2
  [2569d6c7] ConcreteStructs v0.2.3
  [2b5f629d] DiffEqBase v6.200.0
  [31c24e10] Distributions v0.25.123
  [ffbed154] DocStringExtensions v0.9.5
  [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [a4df4552] FastPower v1.3.1
  [f6369f11] ForwardDiff v1.3.2
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [2ee39098] LabelledArrays v1.18.0
  [eff96d63] Measurements v2.14.1
  [46d2c3a1] MuladdMacro v0.2.4
⌅ [aea7be01] PrecompileTools v1.2.1
  [731186ca] RecursiveArrayTools v3.47.0
  [189a3867] Reexport v1.2.2
  [37e2e3b7] ReverseDiff v1.16.2
  [1bc83da4] SafeTestsets v0.1.0
  [0bca4576] SciMLBase v2.136.0
  [c0aeaf25] SciMLOperators v1.15.1
  [53ae85a6] SciMLStructures v1.10.0
  [efcf1570] Setfield v1.1.2
  [aedffcd0] Static v1.3.1
  [90137ffa] StaticArrays v1.9.16
  [1e83bf80] StaticArraysCore v1.4.4
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [781d530d] TruncatedStacktraces v1.4.0
  [1986cc42] Unitful v1.28.0
  [8ba89e20] Distributed
  [b77e0a4c] InteractiveUtils
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [9a3f8284] Random
  [2f01184e] SparseArrays v1.10.0
  [8dfed614] Test
      Status `/tmp/jl_cQAnLB/Manifest.toml`
  [47edcb42] ADTypes v1.21.0
  [7d9f7c33] Accessors v0.1.43
  [79e6a3ab] Adapt v4.4.0
  [66dad0bd] AliasTables v1.1.3
  [4c88cf16] Aqua v0.8.14
  [4fba245c] ArrayInterface v7.22.0
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [70df07ce] BracketingNonlinearSolve v1.6.2
  [2a0fbf3d] CPUSummary v0.2.7
  [49dc2e85] Calculus v0.5.2
  [d360d2e6] ChainRulesCore v1.26.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.18.1
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [187b0558] ConstructionBase v1.6.0
  [adafc99b] CpuId v0.3.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.19.3
  [2b5f629d] DiffEqBase v6.200.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.16
  [31c24e10] Distributions v0.25.123
  [ffbed154] DocStringExtensions v0.9.5
  [4e289a0a] EnumX v1.0.6
  [f151be2c] EnzymeCore v0.8.18
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [a4df4552] FastPower v1.3.1
  [1a297f60] FillArrays v1.16.0
  [f6369f11] ForwardDiff v1.3.2
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [46192b85] GPUArraysCore v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [615f187c] IfElse v0.1.1
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.1
  [ae98c720] Jieko v0.2.1
  [2ee39098] LabelledArrays v1.18.0
  [10f19ff3] LayoutPointers v0.1.17
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [bb5d69b7] MaybeInplace v0.1.4
  [eff96d63] Measurements v2.14.1
  [e1d29d7a] Missings v1.2.0
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
  [77ba4419] NaNMath v1.1.3
  [be0214bd] NonlinearSolveBase v2.11.2
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.37
  [f517fe37] Polyester v0.7.18
  [1d0040c9] PolyesterWeave v0.2.2
  [d236fae5] PreallocationTools v1.1.2
⌅ [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.5.1
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.47.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [37e2e3b7] ReverseDiff v1.16.2
  [79098fc4] Rmath v0.9.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.17
  [94e857df] SIMDTypes v0.1.0
  [1bc83da4] SafeTestsets v0.1.0
  [0bca4576] SciMLBase v2.136.0
  [19f34311] SciMLJacobianOperators v0.1.12
  [a6db7da4] SciMLLogging v1.8.0
  [c0aeaf25] SciMLOperators v1.15.1
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
  [efcf1570] Setfield v1.1.2
  [a2af1166] SortingAlgorithms v1.2.2
  [276daf66] SpecialFunctions v2.6.1
  [aedffcd0] Static v1.3.1
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.16
  [1e83bf80] StaticArraysCore v1.4.4
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [7792a7ef] StrideArraysCore v0.5.8
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [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 v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll 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 v2.28.1010+0
  [14a3606d] MozillaCACerts_jll v2025.12.2
  [4536629a] OpenBLAS_jll v0.3.23+5
  [05823500] OpenLibm_jll v0.8.5+0
  [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...
Test Summary: | Pass  Total  Time
Callbacks     |   23     23  7.3s
  7.650551 seconds (2.02 M allocations: 163.711 MiB, 2.40% gc time, 68.08% compilation time)
Test Summary: | Pass  Total  Time
Plot Vars     |   10     10  3.5s
  3.549259 seconds (1.83 M allocations: 128.656 MiB, 1.81% gc time, 98.47% compilation time)
WARNING: Method definition f(Any, Any, Any, Any) in module ##Problem Creation Tests#227 at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/problem_creation_tests.jl:25 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/problem_creation_tests.jl:55.
WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Problem Creation Tests#227 at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/problem_creation_tests.jl:45 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/problem_creation_tests.jl:94.
WARNING: Method definition f(Any, Any, Any) in module ##Problem Creation Tests#227 at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/problem_creation_tests.jl:118 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/problem_creation_tests.jl:134.
Test Summary:          | Pass  Broken  Total  Time
Problem Creation Tests |    8       7     15  5.6s
  5.571919 seconds (3.16 M allocations: 234.044 MiB, 8.19% gc time, 93.15% compilation time)
Test Summary: | Pass  Total  Time
Export tests  |    1      1  0.1s
  0.078298 seconds (11.27 k allocations: 794.227 KiB, 87.23% compilation time)
┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance.
│ Consider using tuples instead.
└ @ SciMLBase ~/.julia/packages/SciMLBase/cgq4R/src/performance_warnings.jl:32
Test Summary: | Pass  Broken  Total  Time
Remake tests  |   31       4     35  9.0s
  9.019376 seconds (8.51 M allocations: 643.613 MiB, 2.18% gc time, 97.62% compilation time)
Test Summary:              | Pass  Total  Time
High Level solve Interface |   17     17  3.4s
  3.400600 seconds (3.51 M allocations: 246.384 MiB, 3.21% gc time, 73.46% compilation time)
Test Summary:        | Pass  Total  Time
DiffEqFunction tests |   12     12  4.2s
  4.250005 seconds (3.24 M allocations: 263.837 MiB, 1.75% gc time, 95.61% compilation time)
Test Summary:  |Time
Internal Euler | None  2.1s
  2.141944 seconds (1.71 M allocations: 118.354 MiB, 2.74% gc time, 98.75% compilation time)
Test Summary: | Pass  Total  Time
Norm          |    3      3  2.1s
  2.102234 seconds (1.29 M allocations: 86.806 MiB, 13.30% gc time, 86.29% compilation time)
Test Summary: | Pass  Total   Time
Utils         |   21     21  15.1s
 15.155294 seconds (1.26 M allocations: 88.956 MiB, 2.16% gc time, 16.74% compilation time)
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#235".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#235".MyStruct}(2.0))
p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#235".MyStruct}(2.0)), SciMLBase.NullParameters())
p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#235".MyStruct}(2.0)), Dual{Nothing}(2.0))
p = (Dual{Nothing}(2.0), Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#235".MyStruct}(2.0)))
p = Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 1.57424e-319)
filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})]
p = (Main.var"##ForwardDiff Dual Detection#235".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#235".var"#1#2"(), Dual{Nothing}(2.0))
filter((!=)(Expr(:code_coverage_effect)), ci.first.code) = Any[:(return ForwardDiff.Dual{Nothing, Float64, 0})]
p = (Ptr{Float64} @0x000074c46805d340, 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#235".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}}, y::Float64}[(x = [Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct}(2.0), :x => Main.var"##ForwardDiff Dual Detection#235".MyStruct{String, Vector{Number}}[Main.var"##ForwardDiff Dual Detection#235".MyStruct{String, Vector{Number}}("2", Number[2.0, Main.var"##ForwardDiff Dual Detection#235".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#235".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef)
p = Any[Main.var"##ForwardDiff Dual Detection#235".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef), 2.0]
p = Main.var"##ForwardDiff Dual Detection#235".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#235".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))]
p = (x = 2.0, y = Vector{Main.var"##ForwardDiff Dual Detection#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 1.57424e-319)]])
p = (x = [6.34315563513713e-310, 0.0], y = Vector{Main.var"##ForwardDiff Dual Detection#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 1.57424e-319)]])
p = (x = Any[#undef #undef; #undef #undef], y = Vector{Main.var"##ForwardDiff Dual Detection#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#235".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 1.57424e-319)]])
p = Set(Any[Dual{Nothing}(2.0), "s"])
p = Set(Any[SciMLBase.NullParameters(), Dual{Nothing}(2.0)])
p = Set(Any[[6.3431693425039e-310 6.34317902699766e-310; 6.34317902698343e-310 6.34317902661742e-310], Dual{Nothing}(2.0)])
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#235".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#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)]), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)]))
p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)]), 2.0)
p = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)])
p = (x = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)]), y = 2.0)
p = Any[2.0, (2.0,), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)])]
p = Any[2.0, ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".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#235".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(0.0,0.0,6.34317129651297e-310,6.34317129666554e-310,6.34315472572433e-310,6.3431547257441e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431547257362e-310,6.34315466775264e-310,6.3431790265356e-310,6.3431546677558e-310,6.34315472574014e-310,6.3431546677495e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(6.3431790265356e-310,6.34317129693747e-310,6.3431790265356e-310,6.3431790265356e-310,5.0e-324,NaN), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(5.0e-324,1.5e-322,6.3431546887346e-310,6.3431857864805e-310,6.3431545223503e-310,6.3431757340873e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#235".f), Float64}}(2.782597e-318,4.0e-323,5.4e-323,6.34316778432045e-310,6.34316778432045e-310,6.34316778432045e-310)]), Main.var"##ForwardDiff Dual Detection#235".MyStruct{Float64, Float32}(2.0, 2.0f0)]
WARNING: Method definition f(Any, Any, Any) in module ##ForwardDiff Dual Detection#235 at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/forwarddiff_dual_detection.jl:349 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/NZcXT/test/forwarddiff_dual_detection.jl:356.
Test Summary:              | Pass  Broken  Total     Time
ForwardDiff Dual Detection |  355       9    364  2m47.9s
168.146451 seconds (19.91 M allocations: 1.270 GiB, 0.29% gc time, 17.87% compilation time: 12% of which was recompilation)
Test Summary:    | Pass  Total  Time
ODE default norm |   30     30  2.0s
  2.015135 seconds (1.06 M allocations: 71.172 MiB, 0.87% gc time, 95.98% compilation time: 1% of which was recompilation)
Test Summary:              | Pass  Total  Time
ODE default unstable check |   18     18  0.9s
  0.878779 seconds (301.15 k allocations: 20.447 MiB, 2.14% gc time, 94.55% compilation time)
Test Summary:          | Pass  Total  Time
Problem Kwargs Merging |   23     23  1.5s
  1.467049 seconds (712.69 k allocations: 50.208 MiB, 1.11% gc time, 90.50% compilation time: 3% of which was recompilation)
225.499941 seconds (48.54 M allocations: 3.338 GiB, 1.02% gc time, 31.05% compilation time: 5% of which was recompilation)
     Testing DiffEqBase tests passed 

Testing completed after 229.09s

PkgEval succeeded after 305.38s