Package evaluation of DiffEqBase on Julia 1.13.0-DEV.427 (855bef3b06*) started at 2025-04-23T22:19:56.037


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.08s


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

Installing DiffEqBase...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [2b5f629d] + DiffEqBase v6.169.0
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [47edcb42] + ADTypes v1.14.0
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.3.0
  [4fba245c] + ArrayInterface v7.18.0
  [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 v4.16.0
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [187b0558] + ConstructionBase v1.5.8
  [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 v6.169.0
  [ffbed154] + DocStringExtensions v0.9.4
  [4e289a0a] + EnumX v1.0.5
  [f151be2c] + EnzymeCore v0.8.8
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [7034ab61] + FastBroadcast v0.3.5
  [9aa1b823] + FastClosures v0.3.2
  [a4df4552] + FastPower v1.1.2
  [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 v0.3.5
  [46d2c3a1] + MuladdMacro v0.2.4
  [bac558e1] + OrderedCollections v1.8.0
  [d96e819e] + Parameters v0.12.3
  [f517fe37] + Polyester v0.7.16
  [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 v3.32.1
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.14
  [94e857df] + SIMDTypes v0.1.0
  [0bca4576] + SciMLBase v2.85.0
  [c0aeaf25] + SciMLOperators v0.3.13
  [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 v0.3.39
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.0
  [8290d209] + ThreadingUtilities v0.5.3
  [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 v5.12.0+0

Installation completed after 3.54s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 214.61s


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

     Testing DiffEqBase
      Status `/tmp/jl_hjXn97/Project.toml`
  [4c88cf16] Aqua v0.8.11
  [4fba245c] ArrayInterface v7.18.0
  [6e4b80f9] BenchmarkTools v1.6.0
  [2569d6c7] ConcreteStructs v0.2.3
  [864edb3b] DataStructures v0.18.22
  [2b5f629d] DiffEqBase v6.169.0
  [31c24e10] Distributions v0.25.119
  [ffbed154] DocStringExtensions v0.9.4
  [4e289a0a] EnumX v1.0.5
  [f151be2c] EnzymeCore v0.8.8
  [7034ab61] FastBroadcast v0.3.5
  [9aa1b823] FastClosures v0.3.2
  [a4df4552] FastPower v1.1.2
⌃ [f6369f11] ForwardDiff v0.10.38
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [2ee39098] LabelledArrays v1.16.1
  [eff96d63] Measurements v2.12.0
  [0987c9cc] MonteCarloMeasurements v1.4.5
  [46d2c3a1] MuladdMacro v0.2.4
  [d96e819e] Parameters v0.12.3
  [91a5bcdd] Plots v1.40.13
  [aea7be01] PrecompileTools v1.3.2
  [731186ca] RecursiveArrayTools v3.32.1
  [189a3867] Reexport v1.2.2
  [37e2e3b7] ReverseDiff v1.16.1
  [1bc83da4] SafeTestsets v0.1.0
  [0bca4576] SciMLBase v2.85.0
  [c0aeaf25] SciMLOperators v0.3.13
  [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 v0.3.39
  [781d530d] TruncatedStacktraces v1.4.0
  [1986cc42] Unitful v1.22.0
  [8ba89e20] Distributed v1.11.0
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  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
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  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_hjXn97/Manifest.toml`
  [47edcb42] ADTypes v1.14.0
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.3.0
  [66dad0bd] AliasTables v1.1.3
  [4c88cf16] Aqua v0.8.11
  [4fba245c] ArrayInterface v7.18.0
  [6e4b80f9] BenchmarkTools v1.6.0
  [d1d4a3ce] BitFlags v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [2a0fbf3d] CPUSummary v0.2.6
  [49dc2e85] Calculus v0.5.2
  [d360d2e6] ChainRulesCore v1.25.1
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [944b1d66] CodecZlib v0.7.8
  [35d6a980] ColorSchemes v3.29.0
  [3da002f7] ColorTypes v0.12.1
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  [5ae59095] Colors v0.13.0
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.16.0
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [f0e56b4a] ConcurrentUtilities v2.5.0
  [187b0558] ConstructionBase v1.5.8
  [d38c429a] Contour v0.6.3
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
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  [e2d170a0] DataValueInterfaces v1.0.0
  [8bb1440f] DelimitedFiles v1.9.1
  [2b5f629d] DiffEqBase v6.169.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [31c24e10] Distributions v0.25.119
  [ffbed154] DocStringExtensions v0.9.4
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  [1a297f60] FillArrays v1.13.0
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
⌃ [f6369f11] ForwardDiff v0.10.38
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
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  [28b8d3ca] GR v0.73.14
  [c145ed77] GenericSchur v0.5.5
  [42e2da0e] Grisu v1.0.2
  [cd3eb016] HTTP v1.10.16
  [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
  [1019f520] JLFzf v0.1.11
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  [682c06a0] JSON v0.21.4
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  [442fdcdd] Measures v0.3.2
  [e1d29d7a] Missings v1.2.0
  [0987c9cc] MonteCarloMeasurements v1.4.5
  [2e0e35c7] Moshi v0.3.5
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  [d236fae5] PreallocationTools v0.4.26
  [aea7be01] PrecompileTools v1.3.2
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  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.1
  [37e2e3b7] ReverseDiff v1.16.1
  [79098fc4] Rmath v0.8.0
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  [476501e8] SLEEFPirates v0.6.43
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  [0bca4576] SciMLBase v2.85.0
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  [53ae85a6] SciMLStructures v1.7.0
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  [efcf1570] Setfield v1.1.2
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  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.13
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.4
  [4c63d2b9] StatsFuns v1.4.0
  [7792a7ef] StrideArraysCore v0.5.7
  [892a3eda] StringManipulation v0.4.1
  [2efcf032] SymbolicIndexingInterface v0.3.39
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.0
  [62fd8b95] TensorCore v0.1.1
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⌃ [83423d85] Cairo_jll v1.18.4+0
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⌅ [b22a6f82] FFMPEG_jll v4.4.4+1
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⌅ [c0090381] Qt6Base_jll v6.7.1+1
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  [56ddb016] Logging v1.11.0
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  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.12.0
  [de0858da] Printf v1.11.0
  [9abbd945] Profile v1.11.0
  [3fa0cd96] REPL 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 v8.12.1+1
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2024.12.31
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.0.16+0
  [efcefdf7] PCRE2_jll v10.44.0+1
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.12.0+0
  [8e850ede] nghttp2_jll v1.65.0+0
  [3f19e933] p7zip_jll v17.5.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl
Test Summary: | Pass  Total  Time
Callbacks     |   17     17  9.3s
  9.540696 seconds (3.40 M allocations: 207.261 MiB, 6.20% gc time, 56.08% compilation time: 25% of which was recompilation)
Test Summary:        | Pass  Total  Time
Internal Rootfinders |   18     18  9.2s
  9.200033 seconds (3.33 M allocations: 184.152 MiB, 0.73% gc time, 95.23% compilation time: 82% of which was recompilation)
Test Summary: | Pass  Total  Time
Plot Vars     |   10     10  4.5s
  4.681292 seconds (3.27 M allocations: 181.139 MiB, 2.24% gc time, 98.68% compilation time: 3% of which was recompilation)
WARNING: Method definition f(Any, Any, Any, Any) in module ##Problem Creation Tests#281 at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/problem_creation_tests.jl:25 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/problem_creation_tests.jl:55.
WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Problem Creation Tests#281 at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/problem_creation_tests.jl:45 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/problem_creation_tests.jl:84.
WARNING: Method definition f(Any, Any, Any) in module ##Problem Creation Tests#281 at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/problem_creation_tests.jl:106 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/problem_creation_tests.jl:122.
Test Summary:          | Pass  Broken  Total  Time
Problem Creation Tests |    8       7     15  8.8s
  8.853192 seconds (7.54 M allocations: 467.589 MiB, 1.68% gc time, 96.01% compilation time: 5% of which was recompilation)
Test Summary: | Pass  Total  Time
Export tests  |    1      1  0.1s
  0.058306 seconds (8.76 k allocations: 478.672 KiB, 85.14% compilation time)
┌ Warning: Using arrays or dicts to store parameters of different types can hurt performance.
│ Consider using tuples instead.
└ @ SciMLBase ~/.julia/packages/SciMLBase/cwnDi/src/performance_warnings.jl:33
Test Summary: | Pass  Broken  Total   Time
Remake tests  |   31       4     35  10.6s
 10.633744 seconds (8.93 M allocations: 533.984 MiB, 1.61% gc time, 97.41% compilation time: 13% of which was recompilation)
Precompiling packages...
Info Given DiffEqBaseDistributionsExt was explicitly requested, output will be shown live 
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl
   7628.0 ms  ✓ DiffEqBase → DiffEqBaseDistributionsExt
  1 dependency successfully precompiled in 9 seconds. 129 already precompiled.
  1 dependency had output during precompilation:
┌ DiffEqBase → DiffEqBaseDistributionsExt
│  [Output was shown above]
└  
Precompiling packages...
   4909.8 ms  ✓ Distributions → DistributionsTestExt
  1 dependency successfully precompiled in 6 seconds. 49 already precompiled.
Test Summary:              | Pass  Total   Time
High Level solve Interface |   20     20  21.1s
 21.059465 seconds (9.04 M allocations: 589.926 MiB, 0.95% gc time, 23.14% compilation time: 35% of which was recompilation)
Test Summary:        | Pass  Total  Time
DiffEqFunction tests |   12     12  7.7s
  7.748818 seconds (6.04 M allocations: 356.400 MiB, 1.34% gc time, 97.19% compilation time: 19% of which was recompilation)
Test Summary:  | Total  Time
Internal Euler |     0  4.1s
  4.077468 seconds (3.93 M allocations: 216.872 MiB, 1.97% gc time, 99.23% compilation time)
Test Summary: | Pass  Total  Time
Norm          |    3      3  4.0s
  3.993479 seconds (4.79 M allocations: 257.451 MiB, 3.07% gc time, 99.53% compilation time)
Precompiling packages...
Info Given DiffEqBaseUnitfulExt was explicitly requested, output will be shown live 
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl
   7542.8 ms  ✓ DiffEqBase → DiffEqBaseUnitfulExt
  1 dependency successfully precompiled in 8 seconds. 99 already precompiled.
  1 dependency had output during precompilation:
┌ DiffEqBase → DiffEqBaseUnitfulExt
│  [Output was shown above]
└  
Test Summary: | Pass  Total   Time
Utils         |   21     21  15.8s
 15.777385 seconds (3.39 M allocations: 212.889 MiB, 0.44% gc time, 26.64% compilation time: 21% of which was recompilation)
Precompiling packages...
  40136.4 ms  ✓ ReverseDiff
  1 dependency successfully precompiled in 40 seconds. 32 already precompiled.
Precompiling packages...
Info Given DiffEqBaseChainRulesCoreExt was explicitly requested, output will be shown live 
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl
   6150.9 ms  ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt
  1 dependency successfully precompiled in 7 seconds. 99 already precompiled.
  1 dependency had output during precompilation:
┌ DiffEqBase → DiffEqBaseChainRulesCoreExt
│  [Output was shown above]
└  
Precompiling packages...
   4077.1 ms  ✓ StatsFuns → StatsFunsChainRulesCoreExt
  1 dependency successfully precompiled in 5 seconds. 23 already precompiled.
Precompiling packages...
   4814.5 ms  ✓ Distributions → DistributionsChainRulesCoreExt
  1 dependency successfully precompiled in 6 seconds. 52 already precompiled.
Precompiling packages...
   9729.8 ms  ✓ FastPower → FastPowerReverseDiffExt
  1 dependency successfully precompiled in 10 seconds. 35 already precompiled.
Precompiling packages...
  11315.5 ms  ✓ ArrayInterface → ArrayInterfaceReverseDiffExt
  1 dependency successfully precompiled in 12 seconds. 39 already precompiled.
Precompiling packages...
Info Given DiffEqBaseReverseDiffExt was explicitly requested, output will be shown live 
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/nn4y1/src/ThreadingUtilities.jl
  18821.4 ms  ✓ DiffEqBase → DiffEqBaseReverseDiffExt
  1 dependency successfully precompiled in 19 seconds. 128 already precompiled.
  1 dependency had output during precompilation:
┌ DiffEqBase → DiffEqBaseReverseDiffExt
│  [Output was shown above]
└  
Precompiling packages...
   7914.6 ms  ✓ ColorSchemes
  18429.6 ms  ✓ PlotUtils
  10118.7 ms  ✓ PlotThemes
   9425.2 ms  ✓ RecipesPipeline
 120938.8 ms  ✓ Plots
  24686.1 ms  ✓ Plots → UnitfulExt
  6 dependencies successfully precompiled in 192 seconds. 176 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#289".MyStruct}(2.0))
p = (Plot{Plots.GRBackend() n=0}, 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#289".MyStruct}(2.0))
p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)), SciMLBase.NullParameters())
p = (Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)), Dual{Nothing}(2.0))
p = (Dual{Nothing}(2.0), Dual{Nothing}(Dual{Main.var"##ForwardDiff Dual Detection#289".MyStruct}(2.0)))
p = Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct{Float64, Tuple{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#289".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#289".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#289".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#289".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}(0x00007c81217e4e80), 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#289".MyStruct{Float64, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}}, y::Float64}[(x = [Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct{String, Vector{ForwardDiff.Dual{Nothing, Float64, 0}}}[Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct}(2.0), :x => Main.var"##ForwardDiff Dual Detection#289".MyStruct{String, Vector{Number}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{String, Vector{Number}}("2", Number[2.0, Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef)
p = Any[Main.var"##ForwardDiff Dual Detection#289".MyStruct2{ForwardDiff.Dual{Nothing, Float64, 0}, Any}(Dual{Nothing}(2.0), #undef), 2.0]
p = Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}[Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, ForwardDiff.Dual{Nothing, Float64, 0}}(2.0, Dual{Nothing}(2.0))]
p = (x = 2.0, y = Vector{Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}(Dual{Nothing}(2.0), 0.0)]])
p = (x = [6.7633903801058e-310, 6.76345392442444e-310], y = Vector{Main.var"##ForwardDiff Dual Detection#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#289".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#289".MyStruct3{ForwardDiff.Dual{Nothing, Float64, 0}, Float64}}[[Main.var"##ForwardDiff Dual Detection#289".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[[2.130317216e-314 6.76345392442444e-310; 5.0e-324 6.76346557452676e-310], Dual{Nothing}(2.0)])
p = ()
p = NamedTuple()
p = [2.0]
p = [2.0, 2.0]
p = [2.0, 2.0]
p = Number[2.0, Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)]), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)]))
p = (ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)]), 2.0)
p = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)])
p = (x = ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)]), y = 2.0)
p = Any[2.0, (2.0,), ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)])]
p = Any[2.0, ForwardDiff.JacobianConfig{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".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#289".f), Float64}, Float64, 5}[Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634308564931e-310,6.7634575799189e-310,6.7634308564931e-310,6.7634308564931e-310,6.76345321775563e-310,6.76343397494535e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634567934913e-310,6.7634575799189e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799189e-310,6.76345758038295e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799221e-310,6.7634575799063e-310,6.7634532135043e-310,6.7634575799189e-310,6.7634575799221e-310,6.7634575799063e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634575799189e-310,6.76345758038295e-310,6.76345758038295e-310,6.7634532135043e-310,6.76346093259306e-310,6.76346093259306e-310), Dual{ForwardDiff.Tag{typeof(Main.var"##ForwardDiff Dual Detection#289".f), Float64}}(6.7634339749485e-310,6.7634339749485e-310,6.76345321775563e-310,6.76345758038295e-310,6.76343646338563e-310,6.76345758038295e-310)]), Main.var"##ForwardDiff Dual Detection#289".MyStruct{Float64, Float32}(2.0, 2.0f0)]
WARNING: Method definition f(Any, Any, Any) in module ##ForwardDiff Dual Detection#289 at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/forwarddiff_dual_detection.jl:334 overwritten at /home/pkgeval/.julia/packages/DiffEqBase/fob3M/test/forwarddiff_dual_detection.jl:341.
Test Summary:              | Pass  Broken  Total     Time
ForwardDiff Dual Detection |  355       9    364  6m36.8s
396.776313 seconds (50.16 M allocations: 2.818 GiB, 0.47% gc time, 18.33% compilation time: 24% of which was recompilation)
Test Summary:    | Pass  Total  Time
ODE default norm |   30     30  3.3s
  3.424539 seconds (2.20 M allocations: 116.935 MiB, 1.55% gc time, 97.83% compilation time: 4% of which was recompilation)
Test Summary:              | Pass  Total  Time
ODE default unstable check |   18     18  1.9s
  1.907068 seconds (654.29 k allocations: 35.628 MiB, 97.47% compilation time)
498.242718 seconds (107.08 M allocations: 6.122 GiB, 0.73% gc time, 28.24% compilation time: 23% of which was recompilation)
     Testing DiffEqBase tests passed 

Testing completed after 520.99s

PkgEval succeeded after 776.4s