Package evaluation of OpenMDAOCore on Julia 1.12.0-rc2.1 (084dab1917*) started at 2025-09-12T05:10:28.731 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.42s ################################################################################ # Installation # Installing OpenMDAOCore... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [24d19c10] + OpenMDAOCore v0.3.2 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.17.0 [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.20.0 [d360d2e6] + ChainRulesCore v1.26.0 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.0 [b0b7db55] + ComponentArrays v0.15.29 [187b0558] + ConstructionBase v1.6.0 ⌅ [864edb3b] + DataStructures v0.18.22 ⌅ [a0c0ee7d] + DifferentiationInterface v0.6.54 [ffbed154] + DocStringExtensions v0.9.5 [d9f16b24] + Functors v0.5.2 [615f187c] + IfElse v0.1.1 [24d19c10] + OpenMDAOCore v0.3.2 [bac558e1] + OrderedCollections v1.8.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [ae029012] + Requires v1.3.1 [0a514795] + SparseMatrixColorings v0.4.21 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [1e83bf80] + StaticArraysCore v1.4.3 [1986cc42] + Unitful v1.24.0 [6fb2a4bd] + UnitfulAngles v0.7.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 [2f01184e] + SparseArrays v1.12.0 [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 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [8e850b90] + libblastrampoline_jll v5.13.1+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 3.93s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 187.3s ################################################################################ # Testing # Testing OpenMDAOCore Status `/tmp/jl_LHJi3d/Project.toml` [47edcb42] ADTypes v1.17.0 [b0b7db55] ComponentArrays v0.15.29 [e30172f5] Documenter v1.14.1 [7da242da] Enzyme v0.13.73 [f151be2c] EnzymeCore v0.8.13 [f6369f11] ForwardDiff v1.2.0 [24d19c10] OpenMDAOCore v0.3.2 [37e2e3b7] ReverseDiff v1.16.1 [1bc83da4] SafeTestsets v0.1.0 [47a9eef4] SparseDiffTools v2.26.0 [0a514795] SparseMatrixColorings v0.4.21 [1986cc42] Unitful v1.24.0 [6fb2a4bd] UnitfulAngles v0.7.2 [e88e6eb3] Zygote v0.7.10 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_LHJi3d/Manifest.toml` [47edcb42] ADTypes v1.17.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.20.0 [fa961155] CEnum v0.5.0 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.26.0 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.0 [b0b7db55] ComponentArrays v0.15.29 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.54 [ffbed154] DocStringExtensions v0.9.5 [e30172f5] Documenter v1.14.1 [7da242da] Enzyme v0.13.73 [f151be2c] EnzymeCore v0.8.13 [e2ba6199] ExprTools v0.1.10 [1a297f60] FillArrays v1.14.0 [6a86dc24] FiniteDiff v2.28.1 [f6369f11] ForwardDiff v1.2.0 [069b7b12] FunctionWrappers v1.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.6.1 [d7ba0133] Git v1.5.0 [86223c79] Graphs v1.13.1 [b5f81e59] IOCapture v0.2.5 [7869d1d1] IRTools v0.4.15 [615f187c] IfElse v0.1.1 [d25df0c9] Inflate v0.1.5 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v0.21.4 [929cbde3] LLVM v9.4.2 [0e77f7df] LazilyInitializedFields v1.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [d0879d2d] MarkdownAST v0.1.2 [77ba4419] NaNMath v1.1.3 [d8793406] ObjectFile v0.5.0 [24d19c10] OpenMDAOCore v0.3.2 [bac558e1] OrderedCollections v1.8.1 [65ce6f38] PackageExtensionCompat v1.0.2 [69de0a69] Parsers v2.8.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [2792f1a3] RegistryInstances v0.1.0 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.16.1 [1bc83da4] SafeTestsets v0.1.0 ⌅ [c0aeaf25] SciMLOperators v0.4.0 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [699a6c99] SimpleTraits v0.9.5 [47a9eef4] SparseDiffTools v2.26.0 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.21 [276daf66] SpecialFunctions v2.5.1 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [09ab397b] StructArrays v0.7.1 [53d494c1] StructIO v0.3.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [e689c965] Tracy v0.1.6 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.24.0 [6fb2a4bd] UnitfulAngles v0.7.2 [19fa3120] VertexSafeGraphs v0.2.0 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 ⌅ [7cc45869] Enzyme_jll v0.0.195+0 [2e619515] Expat_jll v2.7.1+0 [020c3dae] Git_LFS_jll v3.7.0+0 [f8c6e375] Git_jll v2.51.1+0 [dad2f222] LLVMExtra_jll v0.0.37+2 [ad6e5548] LibTracyClient_jll v0.9.1+6 [94ce4f54] Libiconv_jll v1.18.0+0 [9bd350c2] OpenSSH_jll v10.0.1+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.1+0 [efcefdf7] PCRE2_jll v10.44.0+1 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+1 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Warning: Unable to determine HTML(edit_link = ...) from remote HEAD branch, defaulting to "master". │ Calling `git remote` failed with an exception. Set JULIA_DEBUG=Documenter to see the error. │ Unless this is due to a configuration error, the relevant variable should be set explicitly. └ @ Documenter ~/.julia/packages/Documenter/eoWm2/src/utilities/utilities.jl:665 [ Info: SetupBuildDirectory: setting up build directory. [ Info: Doctest: running doctests. [ Info: Skipped ExpandTemplates step (doctest only). [ Info: Skipped CrossReferences step (doctest only). [ Info: Skipped CheckDocument step (doctest only). [ Info: Skipped Populate step (doctest only). [ Info: Skipped RenderDocument step (doctest only). Test Summary: | Pass Total Time doctests | 1 1 1m30.4s Test Summary: | Pass Total Time VarData | 84 84 2.1s Test Summary: | Pass Total Time PartialsData | 59 59 3.1s Test Summary: | Pass Total Time Finding ExplicitComponent methods | 12 12 1.3s Test Summary: | Pass Total Time Finding ImplicitComponent methods | 56 56 1.6s Test Summary: | Pass Total Time get_rows_cols | 14 14 0.5s Test Summary: | Pass Total Time get_rows_cols_dict_from_sparsity | 68 68 21.8s Test Summary: | Pass Total Time unitfulify | 6 6 14.8s Test Summary: | Pass Total Time Aviary utils | 384 384 9.5s Precompiling packages... 1864.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1 dependency successfully precompiled in 2 seconds. 22 already precompiled. Precompiling packages... 9687.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceReverseDiffExt 1 dependency successfully precompiled in 10 seconds. 40 already precompiled. Precompiling packages... 39078.8 ms ✓ Enzyme → EnzymeLogExpFunctionsExt 1 dependency successfully precompiled in 39 seconds. 50 already precompiled. Precompiling packages... 41683.4 ms ✓ Enzyme → EnzymeChainRulesCoreExt 1 dependency successfully precompiled in 42 seconds. 51 already precompiled. Precompiling packages... 37733.9 ms ✓ Enzyme → EnzymeSpecialFunctionsExt 1 dependency successfully precompiled in 39 seconds. 55 already precompiled. Precompiling packages... 40171.1 ms ✓ Enzyme → EnzymeStaticArraysExt 1 dependency successfully precompiled in 41 seconds. 49 already precompiled. Precompiling packages... 16244.0 ms ✓ ChainRules 92564.2 ms ✓ Zygote 2 dependencies successfully precompiled in 109 seconds. 65 already precompiled. Precompiling packages... 2150.4 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 5724.0 ms ✓ ComponentArrays → ComponentArraysZygoteExt 1 dependency successfully precompiled in 8 seconds. 79 already precompiled. Precompiling packages... 4644.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 5 seconds. 75 already precompiled. manual sparsity: Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: All `CallInfo` is required to implement `add_edges_impl(::Vector{Any}, ::CallInfo)` Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] add_edges_impl(::Vector{Any}, ::Compiler.CallInfo) @ Compiler ./../usr/share/julia/Compiler/src/types.jl:518 [3] add_edges!(edges::Vector{Any}, info::Compiler.CallInfo) @ Compiler ./../usr/share/julia/Compiler/src/types.jl:511 [4] compute_edges!(sv::Compiler.InferenceState) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:652 [5] finishinfer!(me::Compiler.InferenceState, interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, cycleid::Int64) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:499 [6] finish_nocycle(::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, frame::Compiler.InferenceState, time_before::UInt64) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:199 [7] typeinf(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, frame::Compiler.InferenceState) @ Compiler ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4502 [8] typeinf_ext(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, mi::Core.MethodInstance, source_mode::UInt8) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:1259 [9] typeinf_type @ ./../usr/share/julia/Compiler/src/typeinfer.jl:1281 [inlined] [10] return_type(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, mi::Core.MethodInstance) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/typeutils/inference.jl:12 [11] thunkbase(mi::Core.MethodInstance, World::UInt64, FA::Type{<:EnzymeCore.Annotation}, A::Type{<:EnzymeCore.Annotation}, TT::Type, Mode::Enzyme.API.CDerivativeMode, width::Int64, ModifiedBetween::NTuple{N, Bool} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, edges::Vector{Any}) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/compiler.jl:5874 [12] thunk_generator(world::UInt64, source::Union{LineNumberNode, Method}, FA::Type, A::Type, TT::Type, Mode::Enzyme.API.CDerivativeMode, Width::Int64, ModifiedBetween::NTuple{N, Bool} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, self::Any, fakeworld::Any, fa::Type, a::Type, tt::Type, mode::Type, width::Type, modifiedbetween::Type, returnprimal::Type, shadowinit::Type, abi::Type, erriffuncwritten::Type, runtimeactivity::Type, strongzero::Type) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/compiler.jl:6122 [13] autodiff @ ~/.julia/packages/Enzyme/lmg7D/src/Enzyme.jl:654 [inlined] [14] autodiff @ ~/.julia/packages/Enzyme/lmg7D/src/Enzyme.jl:538 [inlined] [15] value_and_pushforward!(::OpenMDAOCore.var"#36#37"{typeof(Main.var"##manual sparsity#294".f_simple!), Tuple{Int64, Int64}}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, ::NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}, ::DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}, ::ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ::NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}}) @ DifferentiationInterfaceEnzymeExt ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:99 [16] pushforward! @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:114 [inlined] [17] _sparse_jacobian_aux!(::Tuple{OpenMDAOCore.var"#36#37"{typeof(Main.var"##manual sparsity#294".f_simple!), Tuple{Int64, Int64}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}, ::ComponentArrays.ComponentMatrix{Float64, SparseArrays.SparseMatrixCSC{Float64, Int64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ::DifferentiationInterfaceSparseMatrixColoringsExt.SMCPushforwardSparseJacobianPrep{Nothing, DifferentiationInterface.BatchSizeSettings{10, true, true}, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseMatrixColorings.ColumnColoringResult{SparseArrays.SparseMatrixCSC{Float64, Int64}, Int64, SparseMatrixColorings.BipartiteGraph{Int64}, Vector{Int64}, Vector{SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, Vector{Int64}, Nothing}, ComponentArrays.ComponentMatrix{Float64, Matrix{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.FlatAxis}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}}, DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}}, ::ADTypes.AutoSparse{ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, ADTypes.KnownJacobianSparsityDetector{SparseArrays.SparseMatrixCSC{Float64, Int64}}, SparseMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}) @ DifferentiationInterfaceSparseMatrixColoringsExt ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceSparseMatrixColoringsExt/jacobian.jl:308 [18] jacobian! @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceSparseMatrixColoringsExt/jacobian.jl:237 [inlined] [19] compute_partials!(self::OpenMDAOCore.SparseADExplicitComp{true, ADTypes.AutoSparse{ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, ADTypes.KnownJacobianSparsityDetector{SparseArrays.SparseMatrixCSC{Float64, Int64}}, SparseMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}}, OpenMDAOCore.var"#36#37"{typeof(Main.var"##manual sparsity#294".f_simple!), Tuple{Int64, Int64}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, ComponentArrays.ComponentMatrix{Float64, SparseArrays.SparseMatrixCSC{Float64, Int64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, DifferentiationInterfaceSparseMatrixColoringsExt.SMCPushforwardSparseJacobianPrep{Nothing, DifferentiationInterface.BatchSizeSettings{10, true, true}, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseMatrixColorings.ColumnColoringResult{SparseArrays.SparseMatrixCSC{Float64, Int64}, Int64, SparseMatrixColorings.BipartiteGraph{Int64}, Vector{Int64}, Vector{SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, Vector{Int64}, Nothing}, ComponentArrays.ComponentMatrix{Float64, Matrix{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.FlatAxis}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}}, DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}}, ComponentArrays.ComponentVector{ComplexF64, Vector{ComplexF64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ComponentArrays.ComponentVector{ComplexF64, Vector{ComplexF64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, Dict{String, Nothing}}, inputs::Dict{String, Array{Float64}}, partials::Dict{Tuple{String, String}, Vector{Float64}}) @ OpenMDAOCore ~/.julia/packages/OpenMDAOCore/v5KNT/src/sparse_ad.jl:419 [20] doit_in_place(; ad_type::String) @ Main.var"##manual sparsity#294" ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_manual.jl:135 [21] top-level scope @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_manual.jl:419 [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [23] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [24] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:678 [inlined] [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [26] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:678 [inlined] [27] eval(m::Module, e::Any) @ Core ./boot.jl:489 [28] top-level scope @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:677 [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [30] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:677 [inlined] [31] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [32] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [33] top-level scope @ none:6 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [36] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_manual.jl:419 automatic sparsity: Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: All `CallInfo` is required to implement `add_edges_impl(::Vector{Any}, ::CallInfo)` Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] add_edges_impl(::Vector{Any}, ::Compiler.CallInfo) @ Compiler ./../usr/share/julia/Compiler/src/types.jl:518 [3] add_edges!(edges::Vector{Any}, info::Compiler.CallInfo) @ Compiler ./../usr/share/julia/Compiler/src/types.jl:511 [4] compute_edges!(sv::Compiler.InferenceState) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:652 [5] finishinfer!(me::Compiler.InferenceState, interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, cycleid::Int64) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:499 [6] finish_nocycle(::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, frame::Compiler.InferenceState, time_before::UInt64) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:199 [7] typeinf(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, frame::Compiler.InferenceState) @ Compiler ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4502 [8] typeinf_ext(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, mi::Core.MethodInstance, source_mode::UInt8) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:1259 [9] typeinf_type @ ./../usr/share/julia/Compiler/src/typeinfer.jl:1281 [inlined] [10] return_type(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, mi::Core.MethodInstance) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/typeutils/inference.jl:12 [11] thunkbase(mi::Core.MethodInstance, World::UInt64, FA::Type{<:EnzymeCore.Annotation}, A::Type{<:EnzymeCore.Annotation}, TT::Type, Mode::Enzyme.API.CDerivativeMode, width::Int64, ModifiedBetween::NTuple{N, Bool} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, edges::Vector{Any}) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/compiler.jl:5874 [12] thunk_generator(world::UInt64, source::Union{LineNumberNode, Method}, FA::Type, A::Type, TT::Type, Mode::Enzyme.API.CDerivativeMode, Width::Int64, ModifiedBetween::NTuple{N, Bool} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, self::Any, fakeworld::Any, fa::Type, a::Type, tt::Type, mode::Type, width::Type, modifiedbetween::Type, returnprimal::Type, shadowinit::Type, abi::Type, erriffuncwritten::Type, runtimeactivity::Type, strongzero::Type) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/compiler.jl:6122 [13] autodiff @ ~/.julia/packages/Enzyme/lmg7D/src/Enzyme.jl:654 [inlined] [14] autodiff @ ~/.julia/packages/Enzyme/lmg7D/src/Enzyme.jl:538 [inlined] [15] value_and_pushforward!(::OpenMDAOCore.var"#36#37"{typeof(Main.var"##automatic sparsity#295".f_simple!), Tuple{Int64, Int64}}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, ::NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}, ::DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}, ::ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ::NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}}) @ DifferentiationInterfaceEnzymeExt ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:99 [16] pushforward! @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:114 [inlined] [17] _sparse_jacobian_aux!(::Tuple{OpenMDAOCore.var"#36#37"{typeof(Main.var"##automatic sparsity#295".f_simple!), Tuple{Int64, Int64}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}, ::ComponentArrays.ComponentMatrix{Float64, SparseArrays.SparseMatrixCSC{Float64, Int64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ::DifferentiationInterfaceSparseMatrixColoringsExt.SMCPushforwardSparseJacobianPrep{Nothing, DifferentiationInterface.BatchSizeSettings{10, true, true}, SparseArrays.SparseMatrixCSC{Bool, Int64}, SparseMatrixColorings.ColumnColoringResult{SparseArrays.SparseMatrixCSC{Bool, Int64}, Int64, SparseMatrixColorings.BipartiteGraph{Int64}, Vector{Int64}, Vector{SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, Vector{Int64}, Nothing}, ComponentArrays.ComponentMatrix{Float64, Matrix{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.FlatAxis}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}}, DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}}, ::ADTypes.AutoSparse{ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, OpenMDAOCore.PerturbedDenseSparsityDetector{:direct, ADTypes.AutoForwardDiff{nothing, Nothing}, Float64, Float64}, SparseMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}) @ DifferentiationInterfaceSparseMatrixColoringsExt ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceSparseMatrixColoringsExt/jacobian.jl:308 [18] jacobian! @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceSparseMatrixColoringsExt/jacobian.jl:237 [inlined] [19] compute_partials!(self::OpenMDAOCore.SparseADExplicitComp{true, ADTypes.AutoSparse{ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, OpenMDAOCore.PerturbedDenseSparsityDetector{:direct, ADTypes.AutoForwardDiff{nothing, Nothing}, Float64, Float64}, SparseMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}}, OpenMDAOCore.var"#36#37"{typeof(Main.var"##automatic sparsity#295".f_simple!), Tuple{Int64, Int64}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, ComponentArrays.ComponentMatrix{Float64, SparseArrays.SparseMatrixCSC{Float64, Int64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, DifferentiationInterfaceSparseMatrixColoringsExt.SMCPushforwardSparseJacobianPrep{Nothing, DifferentiationInterface.BatchSizeSettings{10, true, true}, SparseArrays.SparseMatrixCSC{Bool, Int64}, SparseMatrixColorings.ColumnColoringResult{SparseArrays.SparseMatrixCSC{Bool, Int64}, Int64, SparseMatrixColorings.BipartiteGraph{Int64}, Vector{Int64}, Vector{SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, Vector{Int64}, Nothing}, ComponentArrays.ComponentMatrix{Float64, Matrix{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.FlatAxis}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}}, DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}}, ComponentArrays.ComponentVector{ComplexF64, Vector{ComplexF64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), c = ViewAxis(5:8, Shaped1DAxis((4,))), d = ViewAxis(9:20, ShapedAxis((4, 3))))}}}, ComponentArrays.ComponentVector{ComplexF64, Vector{ComplexF64}, Tuple{ComponentArrays.Axis{(e = ViewAxis(1:3, Shaped1DAxis((3,))), f = ViewAxis(4:15, ShapedAxis((4, 3))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, Dict{String, Nothing}}, inputs::Dict{String, Array{Float64}}, partials::Dict{Tuple{String, String}, Vector{Float64}}) @ OpenMDAOCore ~/.julia/packages/OpenMDAOCore/v5KNT/src/sparse_ad.jl:419 [20] doit_in_place(; sparse_detect_method::Symbol, ad_type::String) @ Main.var"##automatic sparsity#295" ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic.jl:138 [21] doit_in_place @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic.jl:69 [inlined] [22] top-level scope @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic.jl:426 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [24] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [25] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:681 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [27] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:681 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:677 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [31] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:680 [inlined] [32] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [34] top-level scope @ none:6 [35] eval(m::Module, e::Any) @ Core ./boot.jl:489 [36] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [37] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic.jl:423 automatic sparsity, with Aviary metadata: Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: All `CallInfo` is required to implement `add_edges_impl(::Vector{Any}, ::CallInfo)` Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] add_edges_impl(::Vector{Any}, ::Compiler.CallInfo) @ Compiler ./../usr/share/julia/Compiler/src/types.jl:518 [3] add_edges!(edges::Vector{Any}, info::Compiler.CallInfo) @ Compiler ./../usr/share/julia/Compiler/src/types.jl:511 [4] compute_edges!(sv::Compiler.InferenceState) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:652 [5] finishinfer!(me::Compiler.InferenceState, interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, cycleid::Int64) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:499 [6] finish_nocycle(::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, frame::Compiler.InferenceState, time_before::UInt64) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:199 [7] typeinf(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, frame::Compiler.InferenceState) @ Compiler ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4502 [8] typeinf_ext(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, mi::Core.MethodInstance, source_mode::UInt8) @ Compiler ./../usr/share/julia/Compiler/src/typeinfer.jl:1259 [9] typeinf_type @ ./../usr/share/julia/Compiler/src/typeinfer.jl:1281 [inlined] [10] return_type(interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{Nothing}, mi::Core.MethodInstance) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/typeutils/inference.jl:12 [11] thunkbase(mi::Core.MethodInstance, World::UInt64, FA::Type{<:EnzymeCore.Annotation}, A::Type{<:EnzymeCore.Annotation}, TT::Type, Mode::Enzyme.API.CDerivativeMode, width::Int64, ModifiedBetween::NTuple{N, Bool} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, edges::Vector{Any}) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/compiler.jl:5874 [12] thunk_generator(world::UInt64, source::Union{LineNumberNode, Method}, FA::Type, A::Type, TT::Type, Mode::Enzyme.API.CDerivativeMode, Width::Int64, ModifiedBetween::NTuple{N, Bool} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, self::Any, fakeworld::Any, fa::Type, a::Type, tt::Type, mode::Type, width::Type, modifiedbetween::Type, returnprimal::Type, shadowinit::Type, abi::Type, erriffuncwritten::Type, runtimeactivity::Type, strongzero::Type) @ Enzyme.Compiler ~/.julia/packages/Enzyme/lmg7D/src/compiler.jl:6122 [13] autodiff @ ~/.julia/packages/Enzyme/lmg7D/src/Enzyme.jl:654 [inlined] [14] autodiff @ ~/.julia/packages/Enzyme/lmg7D/src/Enzyme.jl:538 [inlined] [15] value_and_pushforward!(::OpenMDAOCore.var"#36#37"{typeof(Main.var"##automatic sparsity, with Aviary metadata#296".f_simple!), Tuple{Int64, Int64}}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, ::NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}, ::DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}, ::ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}, ::NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}}) @ DifferentiationInterfaceEnzymeExt ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:99 [16] pushforward! @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:114 [inlined] [17] _sparse_jacobian_aux!(::Tuple{OpenMDAOCore.var"#36#37"{typeof(Main.var"##automatic sparsity, with Aviary metadata#296".f_simple!), Tuple{Int64, Int64}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}, ::ComponentArrays.ComponentMatrix{Float64, SparseArrays.SparseMatrixCSC{Float64, Int64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}, ::DifferentiationInterfaceSparseMatrixColoringsExt.SMCPushforwardSparseJacobianPrep{Nothing, DifferentiationInterface.BatchSizeSettings{10, true, true}, SparseArrays.SparseMatrixCSC{Bool, Int64}, SparseMatrixColorings.ColumnColoringResult{SparseArrays.SparseMatrixCSC{Bool, Int64}, Int64, SparseMatrixColorings.BipartiteGraph{Int64}, Vector{Int64}, Vector{SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, Vector{Int64}, Nothing}, ComponentArrays.ComponentMatrix{Float64, Matrix{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.FlatAxis}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}}, DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}}, ::ADTypes.AutoSparse{ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, OpenMDAOCore.PerturbedDenseSparsityDetector{:direct, ADTypes.AutoForwardDiff{nothing, Nothing}, Float64, Float64}, SparseMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}}, ::ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}) @ DifferentiationInterfaceSparseMatrixColoringsExt ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceSparseMatrixColoringsExt/jacobian.jl:308 [18] jacobian! @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceSparseMatrixColoringsExt/jacobian.jl:237 [inlined] [19] compute_partials!(self::OpenMDAOCore.SparseADExplicitComp{true, ADTypes.AutoSparse{ADTypes.AutoEnzyme{EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI, false, false, false}, Nothing}, OpenMDAOCore.PerturbedDenseSparsityDetector{:direct, ADTypes.AutoForwardDiff{nothing, Nothing}, Float64, Float64}, SparseMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}}, OpenMDAOCore.var"#36#37"{typeof(Main.var"##automatic sparsity, with Aviary metadata#296".f_simple!), Tuple{Int64, Int64}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, ComponentArrays.ComponentMatrix{Float64, SparseArrays.SparseMatrixCSC{Float64, Int64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}, DifferentiationInterfaceSparseMatrixColoringsExt.SMCPushforwardSparseJacobianPrep{Nothing, DifferentiationInterface.BatchSizeSettings{10, true, true}, SparseArrays.SparseMatrixCSC{Bool, Int64}, SparseMatrixColorings.ColumnColoringResult{SparseArrays.SparseMatrixCSC{Bool, Int64}, Int64, SparseMatrixColorings.BipartiteGraph{Int64}, Vector{Int64}, Vector{SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, Vector{Int64}, Nothing}, ComponentArrays.ComponentMatrix{Float64, Matrix{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}, ComponentArrays.FlatAxis}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}}}, Vector{NTuple{10, ComponentArrays.ComponentVector{Float64, Vector{Float64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}}}, DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{Nothing, Nothing, Tuple{}}}, ComponentArrays.ComponentVector{ComplexF64, Vector{ComplexF64}, Tuple{ComponentArrays.Axis{(a = 1, b = ViewAxis(2:4, Shaped1DAxis((3,))), d = ViewAxis(5:16, ShapedAxis((4, 3))), c = ViewAxis(17:20, Shaped1DAxis((4,))))}}}, ComponentArrays.ComponentVector{ComplexF64, Vector{ComplexF64}, Tuple{ComponentArrays.Axis{(f = ViewAxis(1:12, ShapedAxis((4, 3))), e = ViewAxis(13:15, Shaped1DAxis((3,))), g = ViewAxis(16:27, ShapedAxis((3, 4))))}}}, Dict{String, Dict{String, Any}}}, inputs::Dict{String, Array{Float64}}, partials::Dict{Tuple{String, String}, Vector{Float64}}) @ OpenMDAOCore ~/.julia/packages/OpenMDAOCore/v5KNT/src/sparse_ad.jl:419 [20] doit_in_place(; sparse_detect_method::Symbol, ad_type::String) @ Main.var"##automatic sparsity, with Aviary metadata#296" ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic_aviary.jl:182 [21] doit_in_place @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic_aviary.jl:69 [inlined] [22] top-level scope @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic_aviary.jl:470 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [24] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [25] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:684 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [27] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:684 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:677 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [31] macro expansion @ ~/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:683 [inlined] [32] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [34] top-level scope @ none:6 [35] eval(m::Module, e::Any) @ Core ./boot.jl:489 [36] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [37] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/OpenMDAOCore/v5KNT/test/autosparse_automatic_aviary.jl:467 Test Summary: | Pass Error Total Time SparseADExplicitComp | 1200 3 1203 16m09.5s manual sparsity | 386 1 387 11m09.2s automatic sparsity | 386 1 387 2m07.6s automatic sparsity, with Aviary metadata | 428 1 429 2m52.1s RNG of the outermost testset: Random.Xoshiro(0xa9e9f87fee976ef5, 0xaa72141d8620b651, 0x19b0ebfb85caa41f, 0xd7625232e118db29, 0x0d651026459cc4a2) ERROR: LoadError: Some tests did not pass: 1200 passed, 0 failed, 3 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/OpenMDAOCore/v5KNT/test/runtests.jl:676 Testing failed after 1123.29s ERROR: LoadError: Package OpenMDAOCore errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2427 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2280 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:483 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:305 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:321 [12] _start() @ Base ./client.jl:554 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1368.32s: package tests unexpectedly errored