Package evaluation of DiffEqBase on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T18:59:45.490 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.98s ################################################################################ # Installation # Installing DiffEqBase... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [2b5f629d] + DiffEqBase v6.177.2 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.19.0 [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 v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [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 v6.177.2 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.12 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.1.3 [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 v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [f517fe37] + Polyester v0.7.18 [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 v3.34.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.103.0 [c0aeaf25] + SciMLOperators v1.3.1 [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 v0.3.41 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [8290d209] + ThreadingUtilities v0.5.5 [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 v5.13.1+0 Installation completed after 3.64s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 123.95s ################################################################################ # Testing # Testing DiffEqBase Status `/tmp/jl_oLv0Yt/Project.toml` [4c88cf16] Aqua v0.8.13 [4fba245c] ArrayInterface v7.19.0 [6e4b80f9] BenchmarkTools v1.6.0 [2569d6c7] ConcreteStructs v0.2.3 [864edb3b] DataStructures v0.18.22 [2b5f629d] DiffEqBase v6.177.2 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.12 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.1.3 [f6369f11] ForwardDiff v1.0.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [2ee39098] LabelledArrays v1.16.1 [eff96d63] Measurements v2.14.0 [0987c9cc] MonteCarloMeasurements v1.4.7 [46d2c3a1] MuladdMacro v0.2.4 [d96e819e] Parameters v0.12.3 [aea7be01] PrecompileTools v1.3.2 [731186ca] RecursiveArrayTools v3.34.1 [189a3867] Reexport v1.2.2 [37e2e3b7] ReverseDiff v1.16.1 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.103.0 [c0aeaf25] SciMLOperators v1.3.1 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [aedffcd0] Static v1.2.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [2efcf032] SymbolicIndexingInterface v0.3.41 [781d530d] TruncatedStacktraces v1.4.0 [1986cc42] Unitful v1.23.1 [8ba89e20] Distributed v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_oLv0Yt/Manifest.toml` [47edcb42] ADTypes v1.15.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.13 [4fba245c] ArrayInterface v7.19.0 [6e4b80f9] BenchmarkTools v1.6.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [49dc2e85] Calculus v0.5.2 [d360d2e6] ChainRulesCore v1.25.2 [fb6a15b2] CloseOpenIntervals v0.1.13 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.17.0 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [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 v6.177.2 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.12 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.1.3 [1a297f60] FillArrays v1.13.0 [f6369f11] ForwardDiff v1.0.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [c145ed77] GenericSchur v0.5.5 [3e5b6fbb] HostCPUFeatures v0.1.17 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 [b964fa9f] LaTeXStrings v1.4.0 [2ee39098] LabelledArrays v1.16.1 [10f19ff3] LayoutPointers v0.1.17 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [eff96d63] Measurements v2.14.0 [e1d29d7a] Missings v1.2.0 [0987c9cc] MonteCarloMeasurements v1.4.7 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [d236fae5] PreallocationTools v0.4.28 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.34.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.16.1 [79098fc4] Rmath v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.103.0 [c0aeaf25] SciMLOperators v1.3.1 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.1 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [2efcf032] SymbolicIndexingInterface v0.3.41 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [8290d209] ThreadingUtilities v0.5.5 [781d530d] TruncatedStacktraces v1.4.0 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.23.1 [3d5dd08c] VectorizationBase v0.21.71 [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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 Testing Running tests... Test Summary: | Pass Total Time Callbacks | 17 17 7.8s 7.986348 seconds (3.48 M allocations: 223.133 MiB, 6.65% gc time, 58.43% compilation time: 15% of which was recompilation) Precompiling packages... 3850.3 ms ✓ FastPower → FastPowerForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 21 already precompiled. Precompiling packages... 3478.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 59 already precompiled. Precompiling packages... 8553.3 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 1 dependency successfully precompiled in 10 seconds. 110 already precompiled. Test Summary: | Pass Total Time Internal Rootfinders | 20 20 25.4s 25.362359 seconds (5.17 M allocations: 377.821 MiB, 0.46% gc time, 28.74% compilation time: 75% of which was recompilation) Test Summary: | Pass Total Time Plot Vars | 10 10 4.5s 4.685988 seconds (3.21 M allocations: 178.837 MiB, 1.56% gc time, 98.69% compilation time: 3% of which was recompilation) WARNING: Method definition f(Any, Any, Any, Any) in module ##Problem Creation Tests#280 at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/problem_creation_tests.jl:25 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/problem_creation_tests.jl:55. WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Problem Creation Tests#280 at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/problem_creation_tests.jl:45 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/problem_creation_tests.jl:84. WARNING: Method definition f(Any, Any, Any) in module ##Problem Creation Tests#280 at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/problem_creation_tests.jl:106 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/problem_creation_tests.jl:122. Test Summary: | Pass Broken Total Time Problem Creation Tests | 8 7 15 6.6s 6.579315 seconds (6.55 M allocations: 408.227 MiB, 2.57% gc time, 95.14% compilation time: 5% of which was recompilation) Test Summary: | Pass Total Time Export tests | 1 1 0.1s 0.062066 seconds (8.69 k allocations: 473.797 KiB, 85.28% compilation time) ┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance. │ Consider using tuples instead. └ @ SciMLBase ~/.julia/packages/SciMLBase/THas4/src/performance_warnings.jl:33 Test Summary: | Pass Broken Total Time Remake tests | 31 4 35 10.9s 10.944187 seconds (9.42 M allocations: 561.794 MiB, 1.56% gc time, 97.45% compilation time: 11% of which was recompilation) Precompiling packages... 11557.8 ms ✓ Distributions 1 dependency successfully precompiled in 14 seconds. 47 already precompiled. Precompiling packages... 1630.5 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 1 dependency successfully precompiled in 2 seconds. 21 already precompiled. Precompiling packages... 7338.5 ms ✓ DiffEqBase → DiffEqBaseDistributionsExt 1 dependency successfully precompiled in 10 seconds. 130 already precompiled. Precompiling packages... 4840.4 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 7 seconds. 50 already precompiled. Test Summary: | Pass Total Time High Level solve Interface | 20 20 40.3s 40.301119 seconds (16.23 M allocations: 1.134 GiB, 1.94% gc time, 10.98% compilation time: 29% of which was recompilation) Test Summary: | Pass Total Time DiffEqFunction tests | 12 12 6.7s 6.686596 seconds (5.51 M allocations: 325.947 MiB, 1.07% gc time, 96.87% compilation time: 16% of which was recompilation) Test Summary: | Total Time Internal Euler | 0 4.3s 4.325700 seconds (3.83 M allocations: 213.316 MiB, 2.34% gc time, 99.46% compilation time) Test Summary: | Pass Total Time Norm | 3 3 2.3s 2.305664 seconds (2.19 M allocations: 118.295 MiB, 2.26% gc time, 99.19% compilation time) Precompiling packages... 6141.6 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 1 dependency successfully precompiled in 7 seconds. 100 already precompiled. Precompiling packages... 4509.8 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 2735.7 ms ✓ Unitful → ForwardDiffExt 16831.6 ms ✓ MonteCarloMeasurements 8118.6 ms ✓ MonteCarloMeasurements → UnitfulExt 11197.8 ms ✓ MonteCarloMeasurements → ForwardDiffExt 5 dependencies successfully precompiled in 45 seconds. 82 already precompiled. Test Summary: | Pass Total Time Utils | 21 21 58.3s 58.324208 seconds (5.68 M allocations: 408.272 MiB, 0.27% gc time, 6.01% compilation time: 7% of which was recompilation) Precompiling packages... 43990.0 ms ✓ ReverseDiff 1 dependency successfully precompiled in 44 seconds. 33 already precompiled. Precompiling packages... 4278.9 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 1 dependency successfully precompiled in 5 seconds. 66 already precompiled. Precompiling packages... 5382.7 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 1 dependency successfully precompiled in 6 seconds. 99 already precompiled. Precompiling packages... 3694.6 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1 dependency successfully precompiled in 4 seconds. 24 already precompiled. Precompiling packages... 4299.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 1 dependency successfully precompiled in 5 seconds. 53 already precompiled. Precompiling packages... 10657.8 ms ✓ FastPower → FastPowerReverseDiffExt 1 dependency successfully precompiled in 11 seconds. 36 already precompiled. Precompiling packages... 11046.8 ms ✓ ArrayInterface → ArrayInterfaceReverseDiffExt 1 dependency successfully precompiled in 12 seconds. 40 already precompiled. Precompiling packages... 19614.3 ms ✓ DiffEqBase → DiffEqBaseReverseDiffExt 1 dependency successfully precompiled in 22 seconds. 129 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#288".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#288".MyStruct}(2.0)) p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#288".MyStruct}(2.0)), SciMLBase.NullParameters()) p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#288".MyStruct}(2.0)), Dual{Nothing}(2.0)) p = (Dual{Nothing}(2.0), Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#288".MyStruct}(2.0))) p = Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#288".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#288".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#288".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#288".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}(0x000073b14bbba180), 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#288".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}}, y::Float64}[(x = [Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct}(2.0), :x => Main.var"##ForwardDiff Dual Detection#288".MyStruct{String, Vector{Number}}[Main.var"##ForwardDiff Dual Detection#288".MyStruct{String, Vector{Number}}("2", Number[2.0, Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef) p = Any[Main.var"##ForwardDiff Dual Detection#288".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef), 2.0] p = Main.var"##ForwardDiff Dual Detection#288".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#288".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))] p = (x = 2.0, y = Vector{Main.var"##ForwardDiff Dual Detection#288".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#288".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]]) p = (x = [0.0, 0.0], y = Vector{Main.var"##ForwardDiff Dual Detection#288".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#288".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#288".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#288".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), [2.79222824443465e-309 6.28475761425594e-310; 6.28478158799383e-310 6.28477969227457e-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#288".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#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)])) p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]), 2.0) p = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]) p = (x = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]), y = 2.0) p = Any[2.0, (2.0,), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)])] p = Any[2.0, ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".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#288".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753227214e-310,6.2847775322753e-310,6.28477753225317e-310,6.2847775322579e-310,6.28477753225633e-310,6.2847362235344e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.2847775322674e-310,6.28477753226265e-310,6.28477753228004e-310,6.28477753228162e-310,6.2847775322832e-310,6.2847775322848e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(6.28477753228637e-310,6.28477753228795e-310,6.28477753227846e-310,5.0e-324,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#288".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]), Main.var"##ForwardDiff Dual Detection#288".MyStruct{Float64, Float32}(2.0, 2.0f0)] WARNING: Method definition f(Any, Any, Any) in module ##ForwardDiff Dual Detection#288 at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/forwarddiff_dual_detection.jl:333 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/dZqFN/test/forwarddiff_dual_detection.jl:340. Test Summary: | Pass Broken Total Time ForwardDiff Dual Detection | 355 9 364 2m43.6s 163.623084 seconds (35.77 M allocations: 2.134 GiB, 0.44% gc time, 26.73% compilation time: 23% of which was recompilation) Test Summary: | Pass Total Time ODE default norm | 30 30 3.1s 3.280744 seconds (2.25 M allocations: 121.054 MiB, 1.60% gc time, 97.61% compilation time: 4% of which was recompilation) Test Summary: | Pass Total Time ODE default unstable check | 18 18 2.1s 2.109243 seconds (850.62 k allocations: 47.297 MiB, 97.78% compilation time) 337.103664 seconds (100.39 M allocations: 6.195 GiB, 0.89% gc time, 30.87% compilation time: 20% of which was recompilation) Testing DiffEqBase tests passed Testing completed after 360.69s PkgEval succeeded after 522.06s