Package evaluation of ExtendableSparse on Julia 1.13.0-DEV.974 (7bbb213719*) started at 2025-08-12T13:33:39.445 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.53s ################################################################################ # Installation # Installing ExtendableSparse... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [95c220a8] + ExtendableSparse v1.7.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [ffbed154] + DocStringExtensions v0.9.5 [95c220a8] + ExtendableSparse v1.7.1 [88f59080] + ILUZero v0.2.0 [6fe1bfb0] + OffsetArrays v1.17.0 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [e56a9233] + Sparspak v0.3.12 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [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 v1.13.0 [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 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test 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 v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 3.79s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 513.1s ################################################################################ # Testing # Testing ExtendableSparse Status `/tmp/jl_hgt7DX/Project.toml` [4f76b812] AMGCLWrap v2.1.0 [2169fc97] AlgebraicMultigrid v1.1.0 [4c88cf16] Aqua v0.8.14 [6e4b80f9] BenchmarkTools v1.6.0 [ae650224] ChunkSplitters v3.1.2 [ffbed154] DocStringExtensions v0.9.5 [7d51a73a] ExplicitImports v1.13.2 [cfc395e8] ExtendableGrids v1.14.0 [95c220a8] ExtendableSparse v1.7.1 [f6369f11] ForwardDiff v1.0.1 [88f59080] ILUZero v0.2.0 [40713840] IncompleteLU v0.2.1 [42fd0dbc] IterativeSolvers v0.9.4 [7ed4a6bd] LinearSolve v3.28.0 [2679e427] Metis v1.5.0 [bdf0d083] MultiFloats v2.3.0 [67456a42] OhMyThreads v0.8.3 [46dd5b70] Pardiso v1.0.1 [f2c3362d] RecursiveFactorization v0.2.23 [e56a9233] Sparspak v0.3.12 [90137ffa] StaticArrays v1.9.14 [37e2e46d] LinearAlgebra v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [4607b0f0] SuiteSparse [8dfed614] Test v1.11.0 Status `/tmp/jl_hgt7DX/Manifest.toml` [47edcb42] ADTypes v1.16.0 [4f76b812] AMGCLWrap v2.1.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [2169fc97] AlgebraicMultigrid v1.1.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.19.0 [4c555306] ArrayLayouts v1.11.2 [198e06fe] BangBang v0.4.4 [6e4b80f9] BenchmarkTools v1.6.0 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [fa961155] CEnum v0.5.0 [2a0fbf3d] CPUSummary v0.2.7 [d360d2e6] ChainRulesCore v1.26.0 [ae650224] ChunkSplitters v3.1.2 [fb6a15b2] CloseOpenIntervals v0.1.13 [944b1d66] CodecZlib v0.7.8 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.0 [534720e6] CompositeStructs v0.1.5 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [fdbdab4c] ElasticArrays v1.2.12 [4e289a0a] EnumX v1.0.5 [7d51a73a] ExplicitImports v1.13.2 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [cfc395e8] ExtendableGrids v1.14.0 [95c220a8] ExtendableSparse v1.7.1 [1a297f60] FillArrays v1.13.0 [f6369f11] ForwardDiff v1.0.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [86223c79] Graphs v1.13.0 [076d061b] HashArrayMappedTries v0.2.0 [3e5b6fbb] HostCPUFeatures v0.1.17 [88f59080] ILUZero v0.2.0 [615f187c] IfElse v0.1.1 [40713840] IncompleteLU v0.2.1 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [42fd0dbc] IterativeSolvers v0.9.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [ae98c720] Jieko v0.2.1 [ba0b0d4f] Krylov v0.10.1 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.6.2 [9c8b4983] LightXML v0.9.2 [7ed4a6bd] LinearSolve v3.28.0 [2ab3a3ac] LogExpFunctions v0.3.29 [bdcacae8] LoopVectorization v0.12.172 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [2679e427] Metis v1.5.0 [e1d29d7a] Missings v1.2.0 [2e0e35c7] Moshi v0.3.7 [bdf0d083] MultiFloats v2.3.0 [77ba4419] NaNMath v1.1.3 [6fe1bfb0] OffsetArrays v1.17.0 [67456a42] OhMyThreads v0.8.3 [bac558e1] OrderedCollections v1.8.1 [46dd5b70] Pardiso v1.0.1 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.5.0 [08abe8d2] PrettyTables v2.4.0 [43287f4e] PtrArrays v1.3.0 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.37.0 [f2c3362d] RecursiveFactorization v0.2.23 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [fdea26ae] SIMD v3.7.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [0bca4576] SciMLBase v2.108.0 [c0aeaf25] SciMLOperators v1.5.0 [53ae85a6] SciMLStructures v1.7.0 [7e506255] ScopedValues v1.4.0 [efcf1570] Setfield v1.1.2 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [a0a7dd2c] SparseMatricesCSR v0.6.9 [e56a9233] Sparspak v0.3.12 [276daf66] SpecialFunctions v2.5.1 [91464d47] StableTasks v0.1.7 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.14 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [856f2bd8] StructTypes v1.11.0 [2efcf032] SymbolicIndexingInterface v0.3.42 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [8290d209] ThreadingUtilities v0.5.5 [3bb67fe8] TranscodingStreams v0.11.3 [d5829a12] TriangularSolve v0.2.1 [3a884ed6] UnPack v1.0.2 [4004b06d] VTKBase v1.0.1 [3d5dd08c] VectorizationBase v0.21.71 [64499a7a] WriteVTK v1.21.2 [e3ba5bb7] AMGCL_C_jll v0.3.0+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [94ce4f54] Libiconv_jll v1.18.0+0 [d00139f3] METIS_jll v5.1.3+0 [856f044c] MKL_jll v2025.2.0+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [02c8fc9c] XML2_jll v2.14.4+0 ⌅ [28df3c45] boost_jll v1.79.0+3 [1317d2d5] oneTBB_jll v2022.0.0+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 v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [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 v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.7.15 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.2+0 [efcefdf7] PCRE2_jll v10.45.0+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 v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [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... Precompiling packages... 52684.5 ms ✓ ExplicitImports 1 dependency successfully precompiled in 53 seconds. 29 already precompiled. Test Summary: | Pass Total Time ExplicitImports | 2 2 1m08.3s Precompiling packages... 10064.1 ms ✓ Graphs 11010.6 ms ✓ ExtendableGrids 2 dependencies successfully precompiled in 22 seconds. 60 already precompiled. Precompiling packages... 5444.2 ms ✓ Metis → MetisGraphs 4238.5 ms ✓ ExtendableGrids → ExtendableGridsMetisExt 2 dependencies successfully precompiled in 10 seconds. 65 already precompiled. Precompiling packages... 1598.0 ms ✓ Accessors → StaticArraysExt 1 dependency successfully precompiled in 2 seconds. 18 already precompiled. Precompiling packages... 2233.1 ms ✓ BangBang → BangBangStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 21 already precompiled. Precompiling packages... 1173.7 ms ✓ CloseOpenIntervals 1132.0 ms ✓ LayoutPointers 17424.2 ms ✓ VectorizationBase 2037.9 ms ✓ StrideArraysCore 5254.6 ms ✓ SLEEFPirates 2202.0 ms ✓ Polyester 84059.4 ms ✓ LoopVectorization 22859.3 ms ✓ TriangularSolve Info Given RecursiveFactorization 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 _generic_lufact!(Any, Base.Val{Pivot}, Any, Any) where {Pivot} at /home/pkgeval/.julia/packages/RecursiveFactorization/zhyWn/src/lu.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _turbo_!(Base.Val{var"#UNROLL#"}, Base.Val{var"#OPS#"}, Base.Val{var"#ARF#"}, Base.Val{var"#AM#"}, Base.Val{var"#LPSYM#"}, Base.Val{Tuple{var"#LB#", var"#V#"}}, Vararg{Any, var"#num#vargs#"}) where {var"#UNROLL#", var"#OPS#", var"#ARF#", var"#AM#", var"#LPSYM#", var"#LB#", var"#V#", var"#num#vargs#"} at /home/pkgeval/.julia/packages/LoopVectorization/ImqiY/src/reconstruct_loopset.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _ldiv_L!(Any, Any, Base.Val{UNIT}, Type{Args}, Vararg{Any, K}) where {UNIT, Args, K} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_remainder!(Any, Any, Any, Any, Any, Any, Any, Static.StaticInt{W}, Base.Val{UNIT}) where {W, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_solve_W!(Any, Any, Any, Any, Static.StaticInt{W}, Base.Val{UNIT}, Static.StaticInt{R}) where {W, UNIT, R} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BdivU_small_kern!(LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Any, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Int64, VectorizationBase.AbstractMask{W, U} where U<:Union{UInt128, UInt16, UInt32, UInt64, UInt8}, Base.Val{UNIT}) where {T, UNIT, W} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_solve_W!(Any, Any, Any, Any, Static.StaticInt{W}, Base.Val{UNIT}) where {W, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_solve_W_u!(Any, Any, Any, Any, Static.StaticInt{W}, Static.StaticInt{U}, Base.Val{UNIT}) where {W, U, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BdivU_small_kern_u!(LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Any, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Int64, Static.StaticInt{U}, Base.Val{UNIT}, Static.StaticInt{W}) where {T, U, UNIT, W} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in rdiv_block_MandN!(LayoutPointers.AbstractStridedPointer{T, var"#s45", XC, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s45"}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s45"}} where R where B where var"#s45", LayoutPointers.AbstractStridedPointer{T, var"#s43", XA, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s43"}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s43"}} where R where B where var"#s43", LayoutPointers.AbstractStridedPointer{T, var"#s10", XU, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s10"}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s10"}} where R where B where var"#s10", Any, Any, Base.Val{UNIT}) where {T, UNIT, XC, XA, XU} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in rdiv_block_N!(LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Any, Any, Any, Any, Base.Val{UNIT}, Any) where {T, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in reckernel!(AbstractArray{T, 2}, Base.Val{Pivot}, Any, Any, Any, Any, Any, Any) where {T, Pivot} at /home/pkgeval/.julia/packages/RecursiveFactorization/zhyWn/src/lu.jl 43571.3 ms ✓ RecursiveFactorization 9 dependencies successfully precompiled in 180 seconds. 33 already precompiled. 3 dependencies had output during precompilation: ┌ VectorizationBase │ WARNING: Constructor for type "Int16" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int16" refers to `Base.Int16`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int16 end`. │ Hint: To silence the warning, qualify `Int16` as `Base.Int16` in the method signature or explicitly `import Base: Int16`. │ WARNING: Constructor for type "Int64" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int64" refers to `Base.Int64`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int64 end`. │ Hint: To silence the warning, qualify `Int64` as `Base.Int64` in the method signature or explicitly `import Base: Int64`. │ WARNING: Constructor for type "Int32" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int32" refers to `Base.Int32`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int32 end`. │ Hint: To silence the warning, qualify `Int32` as `Base.Int32` in the method signature or explicitly `import Base: Int32`. │ WARNING: Constructor for type "UInt8" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt8" refers to `Base.UInt8`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt8 end`. │ Hint: To silence the warning, qualify `UInt8` as `Base.UInt8` in the method signature or explicitly `import Base: UInt8`. │ WARNING: Constructor for type "UInt16" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt16" refers to `Base.UInt16`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt16 end`. │ Hint: To silence the warning, qualify `UInt16` as `Base.UInt16` in the method signature or explicitly `import Base: UInt16`. │ WARNING: Constructor for type "Float32" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Float32" refers to `Base.Float32`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Float32 end`. │ Hint: To silence the warning, qualify `Float32` as `Base.Float32` in the method signature or explicitly `import Base: Float32`. │ WARNING: Constructor for type "UInt64" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt64" refers to `Base.UInt64`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt64 end`. │ Hint: To silence the warning, qualify `UInt64` as `Base.UInt64` in the method signature or explicitly `import Base: UInt64`. │ WARNING: Constructor for type "Bool" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Bool" refers to `Base.Bool`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Bool end`. │ Hint: To silence the warning, qualify `Bool` as `Base.Bool` in the method signature or explicitly `import Base: Bool`. │ WARNING: Constructor for type "Int8" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int8" refers to `Base.Int8`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int8 end`. │ Hint: To silence the warning, qualify `Int8` as `Base.Int8` in the method signature or explicitly `import Base: Int8`. │ WARNING: Constructor for type "Float64" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Float64" refers to `Base.Float64`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Float64 end`. │ Hint: To silence the warning, qualify `Float64` as `Base.Float64` in the method signature or explicitly `import Base: Float64`. │ WARNING: Constructor for type "UInt32" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt32" refers to `Base.UInt32`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt32 end`. │ Hint: To silence the warning, qualify `UInt32` as `Base.UInt32` in the method signature or explicitly `import Base: UInt32`. │ WARNING: Constructor for type "Float16" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Float16" refers to `Base.Float16`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Float16 end`. │ Hint: To silence the warning, qualify `Float16` as `Base.Float16` in the method signature or explicitly `import Base: Float16`. └ ┌ LoopVectorization │ WARNING: Constructor for type "Int16" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int16" refers to `Base.Int16`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int16 end`. │ Hint: To silence the warning, qualify `Int16` as `Base.Int16` in the method signature or explicitly `import Base: Int16`. │ WARNING: Constructor for type "Int64" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int64" refers to `Base.Int64`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int64 end`. │ Hint: To silence the warning, qualify `Int64` as `Base.Int64` in the method signature or explicitly `import Base: Int64`. │ WARNING: Constructor for type "Int32" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int32" refers to `Base.Int32`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int32 end`. │ Hint: To silence the warning, qualify `Int32` as `Base.Int32` in the method signature or explicitly `import Base: Int32`. │ WARNING: Constructor for type "UInt8" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt8" refers to `Base.UInt8`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt8 end`. │ Hint: To silence the warning, qualify `UInt8` as `Base.UInt8` in the method signature or explicitly `import Base: UInt8`. │ WARNING: Constructor for type "UInt16" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt16" refers to `Base.UInt16`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt16 end`. │ Hint: To silence the warning, qualify `UInt16` as `Base.UInt16` in the method signature or explicitly `import Base: UInt16`. │ WARNING: Constructor for type "Float32" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Float32" refers to `Base.Float32`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Float32 end`. │ Hint: To silence the warning, qualify `Float32` as `Base.Float32` in the method signature or explicitly `import Base: Float32`. │ WARNING: Constructor for type "UInt64" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt64" refers to `Base.UInt64`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt64 end`. │ Hint: To silence the warning, qualify `UInt64` as `Base.UInt64` in the method signature or explicitly `import Base: UInt64`. │ WARNING: Constructor for type "Bool" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Bool" refers to `Base.Bool`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Bool end`. │ Hint: To silence the warning, qualify `Bool` as `Base.Bool` in the method signature or explicitly `import Base: Bool`. │ WARNING: Constructor for type "Int8" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Int8" refers to `Base.Int8`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Int8 end`. │ Hint: To silence the warning, qualify `Int8` as `Base.Int8` in the method signature or explicitly `import Base: Int8`. │ WARNING: Constructor for type "Float64" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Float64" refers to `Base.Float64`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Float64 end`. │ Hint: To silence the warning, qualify `Float64` as `Base.Float64` in the method signature or explicitly `import Base: Float64`. │ WARNING: Constructor for type "UInt32" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "UInt32" refers to `Base.UInt32`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function UInt32 end`. │ Hint: To silence the warning, qualify `UInt32` as `Base.UInt32` in the method signature or explicitly `import Base: UInt32`. │ WARNING: Constructor for type "Float16" was extended in `VectorizationBase` without explicit qualification or import. │ NOTE: Assumed "Float16" refers to `Base.Float16`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Float16 end`. │ Hint: To silence the warning, qualify `Float16` as `Base.Float16` in the method signature or explicitly `import Base: Float16`. │ WARNING: llvmcall with integer pointers is deprecated. │ Use actual pointers instead, replacing i32 or i64 with i8* or ptr │ in _vreduce(typeof(Base.:(+)), Any) at /home/pkgeval/.julia/packages/LoopVectorization/ImqiY/src/simdfunctionals/mapreduce.jl └ ┌ RecursiveFactorization │ [Output was shown above] └ Precompiling packages... 1709.6 ms ✓ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 20 already precompiled. Precompiling packages... 5438.2 ms ✓ LoopVectorization → SpecialFunctionsExt 1 dependency successfully precompiled in 6 seconds. 44 already precompiled. WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _generic_lufact!(Any, Base.Val{Pivot}, Any, Any) where {Pivot} at /home/pkgeval/.julia/packages/RecursiveFactorization/zhyWn/src/lu.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _turbo_!(Base.Val{var"#UNROLL#"}, Base.Val{var"#OPS#"}, Base.Val{var"#ARF#"}, Base.Val{var"#AM#"}, Base.Val{var"#LPSYM#"}, Base.Val{Tuple{var"#LB#", var"#V#"}}, Vararg{Any, var"#num#vargs#"}) where {var"#UNROLL#", var"#OPS#", var"#ARF#", var"#AM#", var"#LPSYM#", var"#LB#", var"#V#", var"#num#vargs#"} at /home/pkgeval/.julia/packages/LoopVectorization/ImqiY/src/reconstruct_loopset.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _ldiv_L!(Any, Any, Base.Val{UNIT}, Type{Args}, Vararg{Any, K}) where {UNIT, Args, K} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_remainder!(Any, Any, Any, Any, Any, Any, Any, Static.StaticInt{W}, Base.Val{UNIT}) where {W, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_solve_W!(Any, Any, Any, Any, Static.StaticInt{W}, Base.Val{UNIT}, Static.StaticInt{R}) where {W, UNIT, R} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BdivU_small_kern!(LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Any, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Int64, VectorizationBase.AbstractMask{W, U} where U<:Union{UInt128, UInt16, UInt32, UInt64, UInt8}, Base.Val{UNIT}) where {T, UNIT, W} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_solve_W!(Any, Any, Any, Any, Static.StaticInt{W}, Base.Val{UNIT}) where {W, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in ldiv_solve_W_u!(Any, Any, Any, Any, Static.StaticInt{W}, Static.StaticInt{U}, Base.Val{UNIT}) where {W, U, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BdivU_small_kern_u!(LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Any, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Int64, Static.StaticInt{U}, Base.Val{UNIT}, Static.StaticInt{W}) where {T, U, UNIT, W} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in rdiv_block_MandN!(LayoutPointers.AbstractStridedPointer{T, var"#s45", XC, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s45"}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s45"}} where R where B where var"#s45", LayoutPointers.AbstractStridedPointer{T, var"#s43", XA, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s43"}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s43"}} where R where B where var"#s43", LayoutPointers.AbstractStridedPointer{T, var"#s10", XU, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s10"}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, var"#s10"}} where R where B where var"#s10", Any, Any, Base.Val{UNIT}) where {T, UNIT, XC, XA, XU} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in rdiv_block_N!(LayoutPointers.AbstractStridedPointer{T, N, C, B, R, X, O} where O<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where B where C where N, Any, Any, Any, Any, Base.Val{UNIT}, Any) where {T, UNIT} at /home/pkgeval/.julia/packages/TriangularSolve/rwyRY/src/TriangularSolve.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in reckernel!(AbstractArray{T, 2}, Base.Val{Pivot}, Any, Any, Any, Any, Any, Any) where {T, Pivot} at /home/pkgeval/.julia/packages/RecursiveFactorization/zhyWn/src/lu.jl num_partitions_per_color(pgrid) = [2, 4, 4] num_partitions_per_color(pgrid) = [4, 4, 4, 3] num_partitions_per_color(pgrid) = [6, 6, 6, 2] num_partitions_per_color(pgrid) = [2, 4, 4] [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... num_partitions_per_color(pgrid) = [4, 4, 4, 3] [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... num_partitions_per_color(pgrid) = [6, 6, 6, 2] [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... diff = 1.3322676295501878e-15 [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... diff = 1.3322676295501878e-15 [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... diff = 1.3322676295501878e-15 num_partitions_per_color(pgrid) = [3, 3, 4] num_partitions_per_color(pgrid) = [4, 4, 6, 1] num_partitions_per_color(pgrid) = [7, 5, 5, 3] num_partitions_per_color(pgrid) = [3, 3, 4] [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... num_partitions_per_color(pgrid) = [4, 4, 6, 1] [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... num_partitions_per_color(pgrid) = [7, 5, 5, 3] [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... diff = 8.881784197001252e-16 [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... diff = 1.3322676295501878e-15 [ Info: Check if every node belongs to one of the cell partitions... [ Info: Check if no node belongs to two cell partitions of the same color at once... [ Info: Check if no node belongs to two node partitions of the same color at once... [ Info: Check if no node is a neighbor of nodes from two node partitions of the same color... diff = 1.1102230246251565e-15 Test Summary: | Pass Total Time Parallel | 36 36 6m05.0s Test Summary: | Pass Total Time Constructors | 23 23 5.7s WARNING: Method definition rand(Random.AbstractRNG, Random.SamplerType{ForwardDiff.Dual{T, V, N}}) where {T, V, N} in module test_constructors at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_constructors.jl:11 overwritten in module test_copymethods at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_copymethods.jl:10. Test Summary: | Total Time Copy-Methods | 0 4.4s Test Summary: | Pass Total Time Updates | 18 18 6.4s Test Summary: | Pass Total Time Assembly | 19 19 3.8s Float64 (1000,1,1): CSC 4.1994 EXT 0.4417 LNK 0.1719 Float64 (100,100,1): CSC 702.3309 EXT 10.6456 LNK 3.5767 Float64 (20,20,20): CSC 591.2755 EXT 11.4913 LNK 4.6140 MultiFloat{Float64, 2} (1000,1,1): CSC 3.8468 EXT 0.5092 LNK 0.2159 MultiFloat{Float64, 2} (100,100,1): CSC 679.8223 EXT 9.9848 LNK 4.6194 MultiFloat{Float64, 2} (20,20,20): CSC 587.5911 EXT 12.5002 LNK 5.9974 ForwardDiff.Dual{Float64, Float64, 1} (1000,1,1): CSC 5.4003 EXT 0.4785 LNK 0.1696 ForwardDiff.Dual{Float64, Float64, 1} (100,100,1): CSC 634.8545 EXT 9.4408 LNK 3.7294 ForwardDiff.Dual{Float64, Float64, 1} (20,20,20): CSC 590.1051 EXT 11.4604 LNK 4.9045 Test Summary: | Pass Total Time Construction timings | 9 9 2m09.2s Test Summary: | Pass Total Time Operations | 25 25 16.3s Test Summary: | Pass Total Time fdrand | 36 36 57.6s [ Info: Float32: [ Info: Float64: [ Info: MultiFloat{Float64, 1}: [ Info: MultiFloat{Float64, 2}: [ Info: ForwardDiff.Dual{Float64, Float64, 1}: [ Info: ForwardDiff.Dual{Float64, Float64, 2}: Test Summary: | Pass Total Time Backslash | 18 18 1m43.8s Test Summary: | Pass Total Time Dirichlet | 6 6 1.5s Precompiling packages... 3074.4 ms ✓ Setfield 4693.0 ms ✓ SciMLOperators 5266.1 ms ✓ SymbolicIndexingInterface 1065.8 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1621.5 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 5513.1 ms ✓ RecursiveArrayTools 3795.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 2854.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt 26860.6 ms ✓ SciMLBase 3985.1 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 20416.1 ms ✓ LinearSolve 11514.3 ms ✓ LinearSolve → LinearSolveSparseArraysExt 12 dependencies successfully precompiled in 91 seconds. 107 already precompiled. Precompiling packages... 1577.5 ms ✓ BangBang → BangBangTablesExt 1 dependency successfully precompiled in 2 seconds. 20 already precompiled. Precompiling packages... 3245.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 59 already precompiled. Precompiling packages... 5647.7 ms ✓ LoopVectorization → ForwardDiffExt 1 dependency successfully precompiled in 6 seconds. 57 already precompiled. Precompiling packages... 21914.9 ms ✓ LinearSolve → LinearSolveSparspakExt 6570.4 ms ✓ ExtendableSparse → ExtendableSparseLinearSolveExt 2 dependencies successfully precompiled in 29 seconds. 128 already precompiled. Precompiling packages... 8658.2 ms ✓ LinearSolve → LinearSolveRecursiveFactorizationExt 1 dependency successfully precompiled in 9 seconds. 144 already precompiled. Precompiling packages... 9772.2 ms ✓ LinearSolve → LinearSolveForwardDiffExt 1 dependency successfully precompiled in 10 seconds. 134 already precompiled. Precompiling packages... 2585.1 ms ✓ CompositeStructs 5834.5 ms ✓ AMGCLWrap 2 dependencies successfully precompiled in 9 seconds. 44 already precompiled. Precompiling packages... 2930.3 ms ✓ ExtendableSparse → ExtendableSparseAMGCLWrapExt 1 dependency successfully precompiled in 3 seconds. 54 already precompiled. Precompiling packages... 7244.6 ms ✓ AMGCLWrap → AMGCLWrapLinearSolveExt 1 dependency successfully precompiled in 8 seconds. 130 already precompiled. Precompiling packages... 2135.0 ms ✓ ExtendableSparse → ExtendableSparseIncompleteLUExt 1 dependency successfully precompiled in 2 seconds. 25 already precompiled. Precompiling packages... 8018.9 ms ✓ AlgebraicMultigrid 1 dependency successfully precompiled in 8 seconds. 119 already precompiled. Precompiling packages... 7215.4 ms ✓ ExtendableSparse → ExtendableSparseAlgebraicMultigridExt 1 dependency successfully precompiled in 8 seconds. 131 already precompiled. 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Sparspak: Error During Test at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:52 Test threw exception Expression: test_ls2(T, 10, 10, 10, linsolver = SparspakFactorization()) MethodError: no method matching reinit!(::LinearSolveForwardDiffExt.DualLinearCache{LinearSolve.LinearCache{SparseMatrixCSC{Float64, Int64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.SparspakFactorization, Sparspak.SpkSparseSolver.SparseSolver{Int64, Float64}, SciMLOperators.IdentityOperator, SciMLOperators.IdentityOperator, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, DataType, SparseMatrixCSC{ForwardDiff.Partials{1, Float64}, Int64}, Vector{ForwardDiff.Partials{1, Float64}}, Vector{ForwardDiff.Partials{1, Float64}}, ExtendableSparseMatrixCSC{ForwardDiff.Dual{Float64, Float64, 1}, Int64}, Vector{ForwardDiff.Dual{Float64, Float64, 1}}, Vector{ForwardDiff.Dual{Float64, Float64, 1}}}; A::ExtendableSparseMatrixCSC{ForwardDiff.Dual{Float64, Float64, 1}, Int64}, reuse_precs::Bool) The function `reinit!` exists, but no method is defined for this combination of argument types. Closest candidates are: reinit!(!Matched::LinearSolve.LinearCache; A, b, u, p, reuse_precs) @ LinearSolve ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:258 reinit!(!Matched::SciMLBase.AbstractOptimizationCache; p, u0, interpret_symbolicmap) got unsupported keyword arguments "A", "reuse_precs" @ SciMLBase ~/.julia/packages/SciMLBase/URv1y/src/solutions/optimization_solutions.jl:147 reinit!(!Matched::SciMLBase.DEIntegrator, Any...; kwargs...) @ SciMLBase ~/.julia/packages/SciMLBase/URv1y/src/integrator_interface.jl:281 Stacktrace: [1] test_ls2(T::Type, k::Int64, l::Int64, m::Int64; linsolver::LinearSolve.SparspakFactorization) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:40 [2] kwcall(::@NamedTuple{linsolver::LinearSolve.SparspakFactorization}, ::typeof(Main.test_linearsolve.test_ls2), T::Type, k::Int64, l::Int64, m::Int64) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:28 [3] eval_test_function(func::Any, args::Any, kwargs::Any, quoted_func::Union{Expr, Symbol}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:388 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [5] macro expansion @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:52 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [7] top-level scope @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:47 Sparspak: Error During Test at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:53 Test threw exception Expression: test_ls2(T, 25, 40, 1, linsolver = SparspakFactorization()) MethodError: no method matching reinit!(::LinearSolveForwardDiffExt.DualLinearCache{LinearSolve.LinearCache{SparseMatrixCSC{Float64, Int64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.SparspakFactorization, Sparspak.SpkSparseSolver.SparseSolver{Int64, Float64}, SciMLOperators.IdentityOperator, SciMLOperators.IdentityOperator, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, DataType, SparseMatrixCSC{ForwardDiff.Partials{1, Float64}, Int64}, Vector{ForwardDiff.Partials{1, Float64}}, Vector{ForwardDiff.Partials{1, Float64}}, ExtendableSparseMatrixCSC{ForwardDiff.Dual{Float64, Float64, 1}, Int64}, Vector{ForwardDiff.Dual{Float64, Float64, 1}}, Vector{ForwardDiff.Dual{Float64, Float64, 1}}}; A::ExtendableSparseMatrixCSC{ForwardDiff.Dual{Float64, Float64, 1}, Int64}, reuse_precs::Bool) The function `reinit!` exists, but no method is defined for this combination of argument types. Closest candidates are: reinit!(!Matched::LinearSolve.LinearCache; A, b, u, p, reuse_precs) @ LinearSolve ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:258 reinit!(!Matched::SciMLBase.AbstractOptimizationCache; p, u0, interpret_symbolicmap) got unsupported keyword arguments "A", "reuse_precs" @ SciMLBase ~/.julia/packages/SciMLBase/URv1y/src/solutions/optimization_solutions.jl:147 reinit!(!Matched::SciMLBase.DEIntegrator, Any...; kwargs...) @ SciMLBase ~/.julia/packages/SciMLBase/URv1y/src/integrator_interface.jl:281 Stacktrace: [1] test_ls2(T::Type, k::Int64, l::Int64, m::Int64; linsolver::LinearSolve.SparspakFactorization) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:40 [2] kwcall(::@NamedTuple{linsolver::LinearSolve.SparspakFactorization}, ::typeof(Main.test_linearsolve.test_ls2), T::Type, k::Int64, l::Int64, m::Int64) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:28 [3] eval_test_function(func::Any, args::Any, kwargs::Any, quoted_func::Union{Expr, Symbol}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:388 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [5] macro expansion @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:53 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [7] top-level scope @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:47 Sparspak: Error During Test at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:54 Test threw exception Expression: test_ls2(T, 100, 1, 1, linsolver = SparspakFactorization()) MethodError: no method matching reinit!(::LinearSolveForwardDiffExt.DualLinearCache{LinearSolve.LinearCache{SparseMatrixCSC{Float64, Int64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.SparspakFactorization, Sparspak.SpkSparseSolver.SparseSolver{Int64, Float64}, SciMLOperators.IdentityOperator, SciMLOperators.IdentityOperator, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, DataType, SparseMatrixCSC{ForwardDiff.Partials{1, Float64}, Int64}, Vector{ForwardDiff.Partials{1, Float64}}, Vector{ForwardDiff.Partials{1, Float64}}, ExtendableSparseMatrixCSC{ForwardDiff.Dual{Float64, Float64, 1}, Int64}, Vector{ForwardDiff.Dual{Float64, Float64, 1}}, Vector{ForwardDiff.Dual{Float64, Float64, 1}}}; A::ExtendableSparseMatrixCSC{ForwardDiff.Dual{Float64, Float64, 1}, Int64}, reuse_precs::Bool) The function `reinit!` exists, but no method is defined for this combination of argument types. Closest candidates are: reinit!(!Matched::LinearSolve.LinearCache; A, b, u, p, reuse_precs) @ LinearSolve ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:258 reinit!(!Matched::SciMLBase.AbstractOptimizationCache; p, u0, interpret_symbolicmap) got unsupported keyword arguments "A", "reuse_precs" @ SciMLBase ~/.julia/packages/SciMLBase/URv1y/src/solutions/optimization_solutions.jl:147 reinit!(!Matched::SciMLBase.DEIntegrator, Any...; kwargs...) @ SciMLBase ~/.julia/packages/SciMLBase/URv1y/src/integrator_interface.jl:281 Stacktrace: [1] test_ls2(T::Type, k::Int64, l::Int64, m::Int64; linsolver::LinearSolve.SparspakFactorization) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:40 [2] kwcall(::@NamedTuple{linsolver::LinearSolve.SparspakFactorization}, ::typeof(Main.test_linearsolve.test_ls2), T::Type, k::Int64, l::Int64, m::Int64) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:28 [3] eval_test_function(func::Any, args::Any, kwargs::Any, quoted_func::Union{Expr, Symbol}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:388 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [5] macro expansion @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:54 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [7] top-level scope @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:47 Factorizations: Error During Test at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:78 Test threw exception Expression: test_ls2(Float64, 25, 40, 1, linsolver = factorization) ArgumentError: pattern of the matrix changed Stacktrace: [1] umferror(status::Int32) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:125 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:624 [inlined] [3] macro expansion @ ./lock.jl:376 [inlined] [4] umfpack_numeric!(U::SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}; reuse_numeric::Bool, q::Nothing) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:615 [5] umfpack_numeric! @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:614 [inlined] [6] lu!(F::SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}; check::Bool, reuse_symbolic::Bool, q::Nothing) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:478 [7] lu! @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:474 [inlined] [8] lu!(F::SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}, S::SparseMatrixCSC{Float64, Int64}; check::Bool, reuse_symbolic::Bool, q::Nothing) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:471 [9] lu! @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:445 [inlined] [10] solve!(cache::LinearSolve.LinearCache{ExtendableSparseMatrixCSC{Float64, Int64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.UMFPACKFactorization, SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}, SciMLOperators.IdentityOperator, SciMLOperators.IdentityOperator, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, alg::LinearSolve.UMFPACKFactorization; kwargs::@Kwargs{}) @ LinearSolveSparseArraysExt ~/.julia/packages/LinearSolve/n9KK1/ext/LinearSolveSparseArraysExt.jl:191 [11] solve! @ ~/.julia/packages/LinearSolve/n9KK1/ext/LinearSolveSparseArraysExt.jl:177 [inlined] [12] #solve!#12 @ ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:304 [inlined] [13] solve! @ ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:303 [inlined] [14] #solve#11 @ ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:300 [inlined] [15] solve(::SciMLBase.LinearProblem{Nothing, true, ExtendableSparseMatrixCSC{Float64, Int64}, Vector{Float64}, SciMLBase.NullParameters, Nothing, @Kwargs{}}, ::LinearSolve.UMFPACKFactorization) @ LinearSolve ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:298 [16] test_ls2(T::Type, k::Int64, l::Int64, m::Int64; linsolver::LinearSolve.UMFPACKFactorization) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:32 [17] kwcall(::@NamedTuple{linsolver::LinearSolve.UMFPACKFactorization}, ::typeof(Main.test_linearsolve.test_ls2), T::Type, k::Int64, l::Int64, m::Int64) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:28 [18] eval_test_function(func::Any, args::Any, kwargs::Any, quoted_func::Union{Expr, Symbol}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:388 [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [20] macro expansion @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:78 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [22] top-level scope @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:71 Factorizations: Error During Test at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:79 Test threw exception Expression: test_ls2(Float64, 100, 1, 1, linsolver = factorization) ArgumentError: pattern of the matrix changed Stacktrace: [1] umferror(status::Int32) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:125 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:624 [inlined] [3] macro expansion @ ./lock.jl:376 [inlined] [4] umfpack_numeric!(U::SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}; reuse_numeric::Bool, q::Nothing) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:615 [5] umfpack_numeric! @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:614 [inlined] [6] lu!(F::SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}; check::Bool, reuse_symbolic::Bool, q::Nothing) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:478 [7] lu! @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:474 [inlined] [8] lu!(F::SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}, S::SparseMatrixCSC{Float64, Int64}; check::Bool, reuse_symbolic::Bool, q::Nothing) @ SparseArrays.UMFPACK /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:471 [9] lu! @ /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/solvers/umfpack.jl:445 [inlined] [10] solve!(cache::LinearSolve.LinearCache{ExtendableSparseMatrixCSC{Float64, Int64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.UMFPACKFactorization, SparseArrays.UMFPACK.UmfpackLU{Float64, Int64}, SciMLOperators.IdentityOperator, SciMLOperators.IdentityOperator, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, alg::LinearSolve.UMFPACKFactorization; kwargs::@Kwargs{}) @ LinearSolveSparseArraysExt ~/.julia/packages/LinearSolve/n9KK1/ext/LinearSolveSparseArraysExt.jl:191 [11] solve! @ ~/.julia/packages/LinearSolve/n9KK1/ext/LinearSolveSparseArraysExt.jl:177 [inlined] [12] #solve!#12 @ ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:304 [inlined] [13] solve! @ ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:303 [inlined] [14] #solve#11 @ ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:300 [inlined] [15] solve(::SciMLBase.LinearProblem{Nothing, true, ExtendableSparseMatrixCSC{Float64, Int64}, Vector{Float64}, SciMLBase.NullParameters, Nothing, @Kwargs{}}, ::LinearSolve.UMFPACKFactorization) @ LinearSolve ~/.julia/packages/LinearSolve/n9KK1/src/common.jl:298 [16] test_ls2(T::Type, k::Int64, l::Int64, m::Int64; linsolver::LinearSolve.UMFPACKFactorization) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:32 [17] kwcall(::@NamedTuple{linsolver::LinearSolve.UMFPACKFactorization}, ::typeof(Main.test_linearsolve.test_ls2), T::Type, k::Int64, l::Int64, m::Int64) @ Main.test_linearsolve ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:28 [18] eval_test_function(func::Any, args::Any, kwargs::Any, quoted_func::Union{Expr, Symbol}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:388 [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [20] macro expansion @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:79 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [22] top-level scope @ ~/.julia/packages/ExtendableSparse/pjofE/test/test_linearsolve.jl:71 Test Summary: | Pass Error Total Time LinearSolve | 116 5 121 6m26.8s Sparspak | 27 3 30 1m02.3s Factorizations | 22 2 24 13.5s iterations | 54 54 30.5s block preconditioning | 13 13 1m03.2s RNG of the outermost testset: Random.Xoshiro(0x67869fb362f85655, 0x3d4eaee90f43578a, 0x78438fafb2f2bbab, 0xdc3449a86e6d7f5b, 0x7e327e78147e82c7) ERROR: LoadError: Some tests did not pass: 116 passed, 0 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/alltests.jl:81 in expression starting at /home/pkgeval/.julia/packages/ExtendableSparse/pjofE/test/runtests.jl:2 Testing failed after 1227.52s ERROR: LoadError: Package ExtendableSparse errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2672 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2521 [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/v1.13/Pkg/src/API.jl:538 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:515 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [9] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:311 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [14] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1776.98s: package tests unexpectedly errored