Package evaluation to test DiffEqBase on Julia 1.14.0-DEV.1523 (e57442f29c*) started at 2026-01-12T05:47:48.229 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 10.65s ################################################################################ # Installation # Installing DiffEqBase... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [2b5f629d] + DiffEqBase v6.196.0 Updating `~/.julia/environments/v1.14/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 v6.196.0 [a0c0ee7d] + DifferentiationInterface v0.7.13 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [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 v1.3.0 [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 v2.9.0 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [d236fae5] + PreallocationTools v1.0.0 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.43.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.132.0 [19f34311] + SciMLJacobianOperators v0.1.12 [a6db7da4] + SciMLLogging v1.8.0 [c0aeaf25] + SciMLOperators v1.14.1 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.9.0 [efcf1570] + Setfield v1.1.2 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [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 v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [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 v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 4.65s ################################################################################ # Precompilation # ERROR: LoadError: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Nothing) The function `setindex!` exists, but no method is defined for this combination of argument types. Stacktrace: [1] top-level scope @ /PkgEval.jl/scripts/precompile.jl:10 [2] include(mod::Module, _path::String) @ Base ./Base.jl:309 [3] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [4] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/precompile.jl:6 caused by: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Base.DevNull) The function `setindex!` exists, but no method is defined for this combination of argument types. Stacktrace: [1] top-level scope @ /PkgEval.jl/scripts/precompile.jl:7 [2] include(mod::Module, _path::String) @ Base ./Base.jl:309 [3] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [4] _start() @ Base ./client.jl:585 Precompilation failed after 14.4s ################################################################################ # 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_g3i81H/Project.toml` [4c88cf16] + Aqua v0.8.14 [2b5f629d] + DiffEqBase v6.196.0 [31c24e10] + Distributions v0.25.123 [f6369f11] + ForwardDiff v1.3.1 [2ee39098] + LabelledArrays v1.17.0 [eff96d63] + Measurements v2.14.1 [37e2e3b7] + ReverseDiff v1.16.1 [1bc83da4] + SafeTestsets v0.1.0 [90137ffa] + StaticArrays v1.9.16 [1986cc42] + Unitful v1.27.0 [44cfe95a] ~ Pkg ⇒ v1.14.0 [2f01184e] ~ SparseArrays ⇒ v1.13.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_g3i81H/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [4c88cf16] + Aqua v0.8.14 [49dc2e85] + Calculus v0.5.2 [d360d2e6] + ChainRulesCore v1.26.0 [bbf7d656] + CommonSubexpressions v0.3.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [2b5f629d] + DiffEqBase v6.196.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.123 [1a297f60] + FillArrays v1.15.0 [f6369f11] + ForwardDiff v1.3.1 [34004b35] + HypergeometricFunctions v0.3.28 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [2ee39098] + LabelledArrays v1.17.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [eff96d63] + Measurements v2.14.1 [e1d29d7a] + Missings v1.2.0 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 ⌅ [d236fae5] ↓ PreallocationTools v1.0.0 ⇒ v0.4.34 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [37e2e3b7] + ReverseDiff v1.16.1 [79098fc4] + Rmath v0.9.0 [1bc83da4] + SafeTestsets v0.1.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [90137ffa] + StaticArrays v1.9.16 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.9 [4c63d2b9] + StatsFuns v1.5.2 [1986cc42] + Unitful v1.27.0 [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 v8.17.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+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_g3i81H/Project.toml` [4c88cf16] Aqua v0.8.14 [4fba245c] ArrayInterface v7.22.0 [70df07ce] BracketingNonlinearSolve v1.6.2 [2569d6c7] ConcreteStructs v0.2.3 [2b5f629d] DiffEqBase v6.196.0 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [f151be2c] EnzymeCore v0.8.18 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.3.0 [f6369f11] ForwardDiff v1.3.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [2ee39098] LabelledArrays v1.17.0 [eff96d63] Measurements v2.14.1 [46d2c3a1] MuladdMacro v0.2.4 [aea7be01] PrecompileTools v1.3.3 [731186ca] RecursiveArrayTools v3.43.0 [189a3867] Reexport v1.2.2 [37e2e3b7] ReverseDiff v1.16.1 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.132.0 [c0aeaf25] SciMLOperators v1.14.1 [53ae85a6] SciMLStructures v1.9.0 [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 v1.27.0 [8ba89e20] Distributed v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_g3i81H/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 v6.196.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.13 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [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 v1.3.0 [1a297f60] FillArrays v1.15.0 [f6369f11] ForwardDiff v1.3.1 [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 v1.17.0 [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 v2.9.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 ⌅ [d236fae5] PreallocationTools v0.4.34 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.43.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.16.1 [79098fc4] Rmath v0.9.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.16 [94e857df] SIMDTypes v0.1.0 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.132.0 [19f34311] SciMLJacobianOperators v0.1.12 [a6db7da4] SciMLLogging v1.8.0 [c0aeaf25] SciMLOperators v1.14.1 [431bcebd] SciMLPublic v1.0.1 [53ae85a6] SciMLStructures v1.9.0 [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 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.9 [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 v1.27.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.17.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+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 7.1s 7.554600 seconds (2.63 M allocations: 172.691 MiB, 11.49% gc time, 39.58% compilation time: 9% of which was recompilation) Test Summary: | Pass Total Time Plot Vars | 10 10 4.3s 4.352634 seconds (2.45 M allocations: 138.843 MiB, 10.08% gc time, 98.83% compilation time: 5% of which was recompilation) WARNING: Method definition f(Any, Any, Any, Any) in module ##Problem Creation Tests#148 at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/problem_creation_tests.jl:25 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/problem_creation_tests.jl:55. WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Problem Creation Tests#148 at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/problem_creation_tests.jl:45 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/problem_creation_tests.jl:94. WARNING: Method definition f(Any, Any, Any) in module ##Problem Creation Tests#148 at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/problem_creation_tests.jl:118 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/problem_creation_tests.jl:134. Test Summary: | Pass Broken Total Time Problem Creation Tests | 8 7 15 7.8s 7.825490 seconds (6.10 M allocations: 375.838 MiB, 2.24% gc time, 96.66% compilation time: 18% of which was recompilation) Test Summary: | Pass Total Time Export tests | 1 1 0.0s 0.050048 seconds (7.61 k allocations: 410.016 KiB, 75.98% compilation time) ┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance. │ Consider using tuples instead. └ @ SciMLBase ~/.julia/packages/SciMLBase/aHJNB/src/performance_warnings.jl:32 Test Summary: | Pass Broken Total Time Remake tests | 31 4 35 8.8s 8.813011 seconds (7.68 M allocations: 509.354 MiB, 6.24% gc time, 97.26% compilation time: <1% of which was recompilation) Test Summary: | Pass Total Time High Level solve Interface | 17 17 4.9s 4.885021 seconds (4.35 M allocations: 276.926 MiB, 2.04% gc time, 51.03% compilation time: 17% of which was recompilation) Test Summary: | Pass Total Time DiffEqFunction tests | 12 12 5.9s 5.957356 seconds (5.22 M allocations: 358.568 MiB, 2.04% gc time, 96.84% compilation time: 10% of which was recompilation) Test Summary: | Total Time Internal Euler | 0 2.6s 2.597198 seconds (2.68 M allocations: 155.155 MiB, 2.93% gc time, 99.24% compilation time) Test Summary: | Pass Total Time Norm | 3 3 34.3s 34.282501 seconds (5.89 M allocations: 417.529 MiB, 1.94% gc time, 43.48% compilation time: 3% of which was recompilation) Test Summary: | Pass Total Time Utils | 21 21 13.5s 13.531919 seconds (2.72 M allocations: 177.535 MiB, 0.60% gc time, 23.32% compilation time: 21% 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#156".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#156".MyStruct}(2.0)) p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#156".MyStruct}(2.0)), SciMLBase.NullParameters()) p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#156".MyStruct}(2.0)), Dual{Nothing}(2.0)) p = (Dual{Nothing}(2.0), Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#156".MyStruct}(2.0))) p = Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#156".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#156".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#156".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#156".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}(0x000076157b670040), 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#156".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}}, y::Float64}[(x = [Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct}(2.0), :x => Main.var"##ForwardDiff Dual Detection#156".MyStruct{String, Vector{Number}}[Main.var"##ForwardDiff Dual Detection#156".MyStruct{String, Vector{Number}}("2", Number[2.0, Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef) p = Any[Main.var"##ForwardDiff Dual Detection#156".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef), 2.0] p = Main.var"##ForwardDiff Dual Detection#156".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#156".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))] p = (x = 2.0, y = Vector{Main.var"##ForwardDiff Dual Detection#156".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#156".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]]) p = (x = [1.0e-323, 1.0e-323], y = Vector{Main.var"##ForwardDiff Dual Detection#156".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#156".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#156".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#156".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]]) p = Set(Any[Dual{Nothing}(2.0), "s"]) p = Set(Any[Dual{Nothing}(2.0), SciMLBase.NullParameters()]) p = Set(Any[Dual{Nothing}(2.0), [6.41469965257775e-310 6.41469965257934e-310; 6.41470915584824e-310 6.41469965257854e-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#156".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#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)]), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)])) p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)]), 2.0) p = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)]) p = (x = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)]), y = 2.0) p = Any[2.0, (2.0,), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)])] p = Any[2.0, ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".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#156".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41465989193266e-310,0.0,0.0,6.4147065952459e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470976582485e-310,0.0,0.0,6.41470619917523e-310,0.0,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.4146599012472e-310,NaN,5.0e-324,6.41470976582485e-310,NaN,5.0e-324), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470619917523e-310,NaN,5.0e-324,6.41465989198246e-310,4.4e-323,0.0), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#156".f), Float64}}(6.41470617114155e-310,6.0e-323,0.0,6.41470976582485e-310,4.0e-323,0.0)]), Main.var"##ForwardDiff Dual Detection#156".MyStruct{Float64, Float32}(2.0, 2.0f0)] WARNING: Method definition f(Any, Any, Any) in module ##ForwardDiff Dual Detection#156 at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/forwarddiff_dual_detection.jl:349 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/949EN/test/forwarddiff_dual_detection.jl:356. Test Summary: | Pass Broken Total Time ForwardDiff Dual Detection | 355 9 364 2m11.8s 131.822075 seconds (28.26 M allocations: 1.665 GiB, 0.95% gc time, 32.58% compilation time: 33% of which was recompilation) Test Summary: | Pass Total Time ODE default norm | 30 30 2.1s 2.076186 seconds (1.68 M allocations: 90.906 MiB, 96.46% compilation time) Test Summary: | Pass Total Time ODE default unstable check | 18 18 1.2s 1.179018 seconds (572.80 k allocations: 33.231 MiB, 95.94% compilation time) Test Summary: | Pass Total Time Problem Kwargs Merging | 23 23 1.4s 1.405882 seconds (571.62 k allocations: 30.732 MiB, 3.42% gc time, 88.93% compilation time: 2% of which was recompilation) 226.823465 seconds (71.05 M allocations: 4.351 GiB, 1.95% gc time, 44.17% compilation time: 18% of which was recompilation) Testing DiffEqBase tests passed Testing completed after 250.68s PkgEval succeeded after 317.43s