Package evaluation to test DiffEqBase on Julia 1.14.0-DEV.2302 (b8ba835509*) started at 2026-06-06T18:55:43.415 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.5s ################################################################################ # Installation # Installing DiffEqBase... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [2b5f629d] + DiffEqBase v7.5.5 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 v0.2.7 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.4 [187b0558] + ConstructionBase v1.6.0 [2b5f629d] + DiffEqBase v7.5.5 [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 v1.9.1 [46192b85] + GPUArraysCore v0.2.0 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [bb5d69b7] + MaybeInplace v0.1.4 [46d2c3a1] + MuladdMacro v0.2.4 [be0214bd] + NonlinearSolveBase v2.30.3 [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 [0bca4576] + SciMLBase v3.18.0 [19f34311] + SciMLJacobianOperators v0.1.13 [a6db7da4] + SciMLLogging v2.0.0 [c0aeaf25] + SciMLOperators v1.22.0 [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 v1.14.0 [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 v1.5.2+0 [4536629a] + OpenBLAS_jll v0.3.33+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 4.78s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/RUPmD/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 0.9 s ✓ FastPower → FastPowerMeasurementsExt 5.5 s ✓ FlexUnits → ForwardDiffExt 22.2 s ✓ FastPower → FastPowerReverseDiffExt 22.7 s ✓ PreallocationTools → PreallocationToolsReverseDiffExt 25.4 s ✓ SciMLBase → SciMLBaseReverseDiffExt 27.7 s ✓ NonlinearSolveBase → NonlinearSolveBaseReverseDiffExt 5.8 s ✓ DiffEqBase → DiffEqBaseDynamicQuantitiesExt 28.1 s ✓ DiffEqBase → DiffEqBaseReverseDiffExt 4.4 s ✓ DiffEqBase → DiffEqBaseMeasurementsExt 8.5 s ✓ DiffEqBase → DiffEqBaseFlexUnitsExt 10 dependencies successfully precompiled in 154 seconds. 215 already precompiled. Precompilation completed after 182.83s ################################################################################ # Testing # Testing DiffEqBase Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_zFWc6e/Project.toml` [4c88cf16] + Aqua v0.8.16 [2b5f629d] + DiffEqBase v7.5.5 [459566f4] + DiffEqCallbacks v4.17.0 [31c24e10] + Distributions v0.25.126 [06fc5a27] + DynamicQuantities v1.13.0 [76e01b6b] + FlexUnits v0.5.5 [f6369f11] + ForwardDiff v1.3.3 [2ee39098] + LabelledArrays v1.19.0 [eff96d63] + Measurements v2.14.1 [c384ba91] + RecursiveArrayToolsRaggedArrays v1.1.0 [37e2e3b7] + ReverseDiff v1.16.2 [1bc83da4] + SafeTestsets v0.1.0 [90137ffa] + StaticArrays v1.9.18 [1986cc42] + Unitful v1.28.0 [44cfe95a] ~ Pkg ⇒ v1.14.0 [2f01184e] ~ SparseArrays ⇒ v1.13.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_zFWc6e/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [4c88cf16] + Aqua v0.8.16 [49dc2e85] + Calculus v0.5.2 [d360d2e6] + ChainRulesCore v1.26.1 [bbf7d656] + CommonSubexpressions v0.3.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.5 [2b5f629d] + DiffEqBase v7.5.5 [459566f4] + DiffEqCallbacks v4.17.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [8d63f2c5] + DispatchDoctor v0.4.28 [31c24e10] + Distributions v0.25.126 [06fc5a27] + DynamicQuantities v1.13.0 [1a297f60] + FillArrays v1.16.0 [76e01b6b] + FlexUnits v0.5.5 [f6369f11] + ForwardDiff v1.3.3 [34004b35] + HypergeometricFunctions v0.3.28 [692b3bcd] + JLLWrappers v1.8.0 [2ee39098] + LabelledArrays v1.19.0 ⌅ [2ab3a3ac] ↓ LogExpFunctions v1.0.1 ⇒ v0.3.29 [eff96d63] + Measurements v2.14.1 [e1d29d7a] + Missings v1.2.0 [77ba4419] + NaNMath v1.1.3 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.37 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [c384ba91] + RecursiveArrayToolsRaggedArrays v1.1.0 [37e2e3b7] + ReverseDiff v1.16.2 [79098fc4] + Rmath v0.9.0 [1bc83da4] + SafeTestsets v0.1.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.8.0 [90137ffa] + StaticArrays v1.9.18 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.11 [4c63d2b9] + StatsFuns v2.0.1 [1c621080] + TestItems v1.0.0 [410a4b4d] + Tricks v0.1.13 [1986cc42] + Unitful v1.28.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] ~ Pkg ⇒ v1.14.0 [2f01184e] ~ SparseArrays ⇒ v1.13.0 [4607b0f0] + SuiteSparse [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [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 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_zFWc6e/Project.toml` [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.25.0 [70df07ce] BracketingNonlinearSolve v1.12.1 [2569d6c7] ConcreteStructs v0.2.4 [2b5f629d] DiffEqBase v7.5.5 [459566f4] DiffEqCallbacks v4.17.0 [31c24e10] Distributions v0.25.126 [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 v0.5.5 [f6369f11] ForwardDiff v1.3.3 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v1.9.1 [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 v3.18.0 [a6db7da4] SciMLLogging v2.0.0 [c0aeaf25] SciMLOperators v1.22.0 [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 v1.14.0 [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_zFWc6e/Manifest.toml` [47edcb42] ADTypes v1.22.0 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.6.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.25.0 [70df07ce] BracketingNonlinearSolve v1.12.1 [49dc2e85] Calculus v0.5.2 [d360d2e6] ChainRulesCore v1.26.1 [38540f10] CommonSolve v0.2.7 [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 v0.19.5 [2b5f629d] DiffEqBase v7.5.5 [459566f4] DiffEqCallbacks v4.17.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.18 [8d63f2c5] DispatchDoctor v0.4.28 [31c24e10] Distributions v0.25.126 [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 v0.5.5 [f6369f11] ForwardDiff v1.3.3 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v1.9.1 [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 v2.30.3 ⌅ [bac558e1] OrderedCollections v1.8.2 [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 v3.18.0 [19f34311] SciMLJacobianOperators v0.1.13 [a6db7da4] SciMLLogging v2.0.0 [c0aeaf25] SciMLOperators v1.22.0 [431bcebd] SciMLPublic v1.0.1 [53ae85a6] SciMLStructures v1.10.0 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.8.0 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.11 [4c63d2b9] StatsFuns v2.0.1 [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 v1.14.0 [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 v1.5.2+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+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 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 6.2s 7.111832 seconds (3.15 M allocations: 183.492 MiB, 3.75% gc time, 65.98% compilation time) Test Summary: | Pass Total Time Plot Vars | 10 10 8.6s 8.633332 seconds (3.58 M allocations: 191.494 MiB, 1.34% gc time, 99.28% compilation time) Test Summary: | Pass Broken Total Time Problem Creation Tests | 8 7 15 12.4s 12.454598 seconds (8.01 M allocations: 452.236 MiB, 2.24% gc time, 97.41% compilation time: 9% of which was recompilation) Test Summary: | Pass Total Time Export tests | 1 1 0.1s 0.062823 seconds (10.11 k allocations: 523.656 KiB, 81.95% compilation time) ┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance. │ Consider using tuples instead. └ @ SciMLBase ~/.julia/packages/SciMLBase/JIw1X/src/performance_warnings.jl:32 Test Summary: | Pass Broken Total Time Remake tests | 31 4 35 13.9s 13.877841 seconds (10.19 M allocations: 634.381 MiB, 1.20% gc time, 98.13% compilation time: <1% of which was recompilation) Test Summary: | Pass Total Time High Level solve Interface | 17 17 7.8s 7.802273 seconds (4.53 M allocations: 249.517 MiB, 1.33% gc time, 57.87% compilation time: 30% of which was recompilation) Test Summary: | Pass Total Time DiffEqFunction tests | 12 12 11.5s 11.466972 seconds (6.35 M allocations: 416.688 MiB, 1.55% gc time, 97.60% compilation time: 13% of which was recompilation) Test Summary: | Total Time Internal Euler | 0 6.4s 6.409648 seconds (4.71 M allocations: 252.096 MiB, 1.69% gc time, 99.48% compilation time) Test Summary: | Pass Total Time Norm | 3 3 4.9s 4.901678 seconds (2.26 M allocations: 121.518 MiB, 1.53% gc time, 73.43% compilation time: 23% of which was recompilation) Test Summary: | Pass Total Time Utils | 21 21 9.6s 9.642970 seconds (3.77 M allocations: 203.955 MiB, 2.03% gc time, 66.34% compilation time: 31% 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}(0x00007e3d0880a000), 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 = [6.8576661524087e-310, 6.8576661524095e-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[[6.85767612835853e-310 0.0; 6.85767612835853e-310 0.0], 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#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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]), 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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".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#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}}(6.8576759384982e-310,6.85767593849977e-310,6.8576759384824e-310,6.8576759384871e-310,6.8576849545417e-310,6.85767669435065e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593849345e-310,6.85767593849187e-310,6.8576759385045e-310,6.8576759385061e-310,6.8576759385077e-310,6.85767593850926e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(6.85767593851084e-310,6.8576759385124e-310,6.85767593850293e-310,1.3043e-320,NaN,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#158".f), Float64}}(0.0,0.0,0.0,0.0,0.0,0.0)]), 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 1m07.6s 67.630194 seconds (27.08 M allocations: 1.377 GiB, 0.71% gc time, 65.70% compilation time: 8% of which was recompilation) Test Summary: | Pass Total Time ODE default norm | 34 34 4.7s 4.716871 seconds (2.43 M allocations: 125.093 MiB, 96.29% compilation time: 17% of which was recompilation) Test Summary: | Pass Total Time DynamicQuantities extension | 10 10 7.1s 7.065296 seconds (2.65 M allocations: 153.338 MiB, 0.74% gc time, 59.08% compilation time: 4% of which was recompilation) Test Summary: | Pass Total Time ODE default unstable check | 18 18 2.6s 2.599772 seconds (1.03 M allocations: 55.608 MiB, 2.06% gc time, 97.86% compilation time) Test Summary: | Pass Total Time Problem Kwargs Merging | 23 23 2.0s 2.025635 seconds (857.28 k allocations: 45.010 MiB, 91.18% compilation time: 11% of which was recompilation) Test Summary: | Pass Total Time Verbose Inference | 2 2 2.7s 2.740990 seconds (1.83 M allocations: 97.956 MiB, 99.08% compilation time: 97% of which was recompilation) 169.209672 seconds (82.47 M allocations: 4.486 GiB, 1.22% gc time, 77.69% compilation time: 11% of which was recompilation) Testing DiffEqBase tests passed Testing completed after 213.12s PkgEval succeeded after 431.64s