Package evaluation to test GridapPETSc on Julia 1.10.10 (95f30e51f4*) started at 2026-02-02T23:43:53.238 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.10` Set-up completed after 5.59s ################################################################################ # Installation # Installing GridapPETSc... Resolving package versions... Installed GridapPETSc ─ v0.5.6 Updating `~/.julia/environments/v1.10/Project.toml` [bcdc36c2] + GridapPETSc v0.5.6 Updating `~/.julia/environments/v1.10/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.4.0 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.2 [15f4f7f2] + AutoHashEquals v2.2.0 [fbb218c0] + BSON v0.3.9 [8e7c35d0] + BlockArrays v1.9.3 [0b6fb165] + ChunkCodecCore v1.0.1 [4c0bbee4] + ChunkCodecLibZlib v1.0.0 [55437552] + ChunkCodecLibZstd v1.0.0 [7a955b69] + CircularArrays v1.4.0 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.1.0 [bbf7d656] + CommonSubexpressions v0.3.1 [187b0558] + ConstructionBase v1.6.0 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.5 [7a1cc6ca] + FFTW v1.10.0 [442a2c76] + FastGaussQuadrature v1.1.0 [5789e2e9] + FileIO v1.18.0 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 [f6369f11] + ForwardDiff v1.3.2 [56d4f2e9] + Gridap v0.19.7 [f9701e48] + GridapDistributed v0.4.10 [bcdc36c2] + GridapPETSc v0.5.6 [076d061b] + HashArrayMappedTries v0.2.0 [92d709cd] + IrrationalConstants v0.2.6 [42fd0dbc] + IterativeSolvers v0.9.4 [033835bb] + JLD2 v0.6.3 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.4.0 [9c8b4983] + LightXML v0.9.3 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [da04e1cc] + MPI v0.20.23 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.16 ⌅ [d41bc354] + NLSolversBase v7.10.0 [2774e3e8] + NLsolve v4.5.1 [77ba4419] + NaNMath v1.1.3 [b8a86587] + NearestNeighbors v0.4.26 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 ⌅ [5a9dfac6] + PartitionedArrays v0.3.5 [eebad327] + PkgVersion v0.3.3 [c74db56a] + PolynomialBases v0.4.25 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.1 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [ce78b400] + SimpleUnPack v1.1.0 [a0a7dd2c] + SparseMatricesCSR v0.6.9 [276daf66] + SpecialFunctions v2.6.1 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [82ae8749] + StatsAPI v1.8.0 [ec057cc2] + StructUtils v2.6.2 [3bb67fe8] + TranscodingStreams v0.11.3 [4004b06d] + VTKBase v1.0.1 [64499a7a] + WriteVTK v1.21.2 [f5851436] + FFTW_jll v3.3.11+0 ⌃ [e33a78d0] + Hwloc_jll v2.12.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [856f044c] + MKL_jll v2025.2.0+0 [7cb0a576] + MPICH_jll v4.3.2+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 ⌅ [656ef2d0] + OpenBLAS32_jll v0.3.24+0 [fe0851c0] + OpenMPI_jll v5.0.9+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [8fa3689e] + PETSc_jll v3.22.0+0 [aabda75e] + SCALAPACK32_jll v2.2.2+0 [02c8fc9c] + XML2_jll v2.15.1+0 [3161d3a3] + Zstd_jll v1.5.7+1 [1317d2d5] + oneTBB_jll v2022.0.0+1 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [4af54fe1] + LazyArtifacts [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [14a3606d] + MozillaCACerts_jll v2023.1.10 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Building GridapPETSc → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/aeb0905e921f122e11669e3f10faa318687aa3e0/build.log` Installation completed after 30.03s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1958.1 ms ✓ SCALAPACK32_jll 3509.8 ms ✓ PartitionedArrays 1095.2 ms ✓ PETSc_jll 22497.6 ms ✓ GridapDistributed 12786.8 ms ✓ GridapPETSc 5 dependencies successfully precompiled in 47 seconds. 117 already precompiled. Precompilation completed after 65.84s ################################################################################ # Testing # Testing GridapPETSc Status `/tmp/jl_9vdPvJ/Project.toml` [56d4f2e9] Gridap v0.19.7 [f9701e48] GridapDistributed v0.4.10 [bcdc36c2] GridapPETSc v0.5.6 [da04e1cc] MPI v0.20.23 ⌅ [5a9dfac6] PartitionedArrays v0.3.5 [a0a7dd2c] SparseMatricesCSR v0.6.9 [8fa3689e] PETSc_jll v3.22.0+0 [8f399da3] Libdl [37e2e46d] LinearAlgebra [9a3f8284] Random [2f01184e] SparseArrays v1.10.0 [8dfed614] Test Status `/tmp/jl_9vdPvJ/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [79e6a3ab] Adapt v4.4.0 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.2 [15f4f7f2] AutoHashEquals v2.2.0 [fbb218c0] BSON v0.3.9 [8e7c35d0] BlockArrays v1.9.3 [0b6fb165] ChunkCodecCore v1.0.1 [4c0bbee4] ChunkCodecLibZlib v1.0.0 [55437552] ChunkCodecLibZstd v1.0.0 [7a955b69] CircularArrays v1.4.0 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.1.0 [bbf7d656] CommonSubexpressions v0.3.1 [187b0558] ConstructionBase v1.6.0 [864edb3b] DataStructures v0.19.3 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.5 [7a1cc6ca] FFTW v1.10.0 [442a2c76] FastGaussQuadrature v1.1.0 [5789e2e9] FileIO v1.18.0 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [f6369f11] ForwardDiff v1.3.2 [56d4f2e9] Gridap v0.19.7 [f9701e48] GridapDistributed v0.4.10 [bcdc36c2] GridapPETSc v0.5.6 [076d061b] HashArrayMappedTries v0.2.0 [92d709cd] IrrationalConstants v0.2.6 [42fd0dbc] IterativeSolvers v0.9.4 [033835bb] JLD2 v0.6.3 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.4.0 [9c8b4983] LightXML v0.9.3 ⌃ [d3d80556] LineSearches v7.5.1 [2ab3a3ac] LogExpFunctions v0.3.29 [da04e1cc] MPI v0.20.23 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 ⌅ [d41bc354] NLSolversBase v7.10.0 [2774e3e8] NLsolve v4.5.1 [77ba4419] NaNMath v1.1.3 [b8a86587] NearestNeighbors v0.4.26 [6fe1bfb0] OffsetArrays v1.17.0 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 ⌅ [5a9dfac6] PartitionedArrays v0.3.5 [eebad327] PkgVersion v0.3.3 [c74db56a] PolynomialBases v0.4.25 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.1 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [7e506255] ScopedValues v1.5.0 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a0a7dd2c] SparseMatricesCSR v0.6.9 [276daf66] SpecialFunctions v2.6.1 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [82ae8749] StatsAPI v1.8.0 [ec057cc2] StructUtils v2.6.2 [3bb67fe8] TranscodingStreams v0.11.3 [4004b06d] VTKBase v1.0.1 [64499a7a] WriteVTK v1.21.2 [f5851436] FFTW_jll v3.3.11+0 ⌃ [e33a78d0] Hwloc_jll v2.12.1+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [94ce4f54] Libiconv_jll v1.18.0+0 [856f044c] MKL_jll v2025.2.0+0 [7cb0a576] MPICH_jll v4.3.2+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 ⌅ [656ef2d0] OpenBLAS32_jll v0.3.24+0 [fe0851c0] OpenMPI_jll v5.0.9+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [8fa3689e] PETSc_jll v3.22.0+0 [aabda75e] SCALAPACK32_jll v2.2.2+0 [02c8fc9c] XML2_jll v2.15.1+0 [3161d3a3] Zstd_jll v1.5.7+1 [1317d2d5] oneTBB_jll v2022.0.0+1 [0dad84c5] ArgTools v1.1.1 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching [9fa8497b] Future [b77e0a4c] InteractiveUtils [4af54fe1] LazyArtifacts [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.10.0 [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [0] PetscDetermineInitialFPTrap(): Floating point trapping is off by default 0 [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType host available, initializing [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDevice host initialized, default device id 0, view FALSE, init type lazy [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType cuda not available [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType hip not available [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType sycl not available [0] PetscInitialize_Common(): PETSc successfully started: number of processors = 1 [0] PetscGetHostName(): Rejecting domainname, likely is NIS GridapPETSc-against-FPNpzIDy.(none) [0] PetscInitialize_Common(): Running on machine: GridapPETSc-against-FPNpzIDy [0] PetscInitialize_Common(): BLAS: Environment number of OpenBLAS threads 1 given by OPENBLAS_NUM_THREADS [0] PetscBLASSetNumThreads(): Setting number of threads used for OpenBLAS provided BLAS 1 [0] PetscCommDuplicate(): Duplicating a communicator 1140850689 -2080374784 max tags = 1073741823 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscGetHostName(): Rejecting domainname, likely is NIS GridapPETSc-against-FPNpzIDy.(none) Vec Object: 1 MPI process type: seq 1. 2. 4. 1. [0] PetscCommDuplicate(): Duplicating a communicator 1140850688 -2080374783 max tags = 1073741823 [0] PetscGetHostName(): Rejecting domainname, likely is NIS GridapPETSc-against-FPNpzIDy.(none) Vec Object: 1 MPI process type: seq 1. 2. 4. 1. Vec Object: 1 MPI process type: seq 20. 40. 4. 60. [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 5; storage space: 10 unneeded,10 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 3 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 0)/(num_localrows 4) < 0.6. Do not use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 3 nodes of 4. Limit used: 5. Using Inode routines Mat Object: 1 MPI process type: seqaij row 0: (1, 2.) (3, 3.) (4, 1.) row 1: (1, 6.) (3, 11.) (4, 5.) row 2: (1, 4.) (3, 3.) row 3: (3, 4.) (4, 3.) [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 4; storage space: 0 unneeded,10 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 3 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 0)/(num_localrows 4) < 0.6. Do not use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 4 nodes out of 4 rows. Not using Inode routines Mat Object: 1 MPI process type: seqaij row 0: (0, 4.) (1, -2.) row 1: (0, -1.) (1, 6.) (2, -2.) row 2: (1, -1.) (2, 6.) (3, -2.) row 3: (2, -1.) (3, 4.) [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] KSPConvergedDefault(): Linear solver has converged. Residual norm 1.249022930744e-16 is less than relative tolerance 1.000000000000e-05 times initial right-hand side norm 1.145643923739e+00 at iteration 4 [0] KSPConvergedDefault(): Linear solver has converged. Residual norm 1.249022930744e-16 is less than relative tolerance 1.000000000000e-05 times initial right-hand side norm 1.145643923739e+00 at iteration 4 [0] KSPConvergedDefault(): Linear solver has converged. Residual norm 1.291406315399e-16 is less than relative tolerance 1.000000000000e-05 times initial right-hand side norm 1.145643923739e+00 at iteration 4 KSP Object: (p_) 1 MPI process type: gmres restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement happy breakdown tolerance 1e-30 maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: (p_) 1 MPI process type: jacobi type DIAGONAL linear system matrix = precond matrix: Mat Object: 1 MPI process type: seqaij rows=4, cols=4 total: nonzeros=10, allocated nonzeros=0 total number of mallocs used during MatSetValues calls=0 not using I-node routines [0] PetscFinalize(): PetscFinalize() called [0] Petsc_OuterComm_Attr_DeleteFn(): Removing reference to PETSc communicator embedded in a user MPI_Comm -2080374783 [0] Petsc_InnerComm_Attr_DeleteFn(): User MPI_Comm 1140850688 is being unlinked from inner PETSc comm -2080374783 [0] PetscCommDestroy(): Deleting PETSc MPI_Comm -2080374783 [0] Petsc_Counter_Attr_DeleteFn(): Deleting counter data in an MPI_Comm -2080374783 [0] Petsc_OuterComm_Attr_DeleteFn(): Removing reference to PETSc communicator embedded in a user MPI_Comm -2080374784 [0] Petsc_InnerComm_Attr_DeleteFn(): User MPI_Comm 1140850689 is being unlinked from inner PETSc comm -2080374784 [0] PetscCommDestroy(): Deleting PETSc MPI_Comm -2080374784 [0] Petsc_Counter_Attr_DeleteFn(): Deleting counter data in an MPI_Comm -2080374784 15.337514 seconds (3.72 M allocations: 261.993 MiB, 4.41% gc time, 56.32% compilation time) [0] PetscDetermineInitialFPTrap(): Floating point trapping is off by default 0 [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType host available, initializing [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDevice host initialized, default device id 0, view FALSE, init type lazy [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType cuda not available [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType hip not available [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType sycl not available [0] PetscInitialize_Common(): PETSc successfully started: number of processors = 1 [0] PetscGetHostName(): Rejecting domainname, likely is NIS GridapPETSc-against-FPNpzIDy.(none) [0] PetscInitialize_Common(): Running on machine: GridapPETSc-against-FPNpzIDy [0] PetscInitialize_Common(): BLAS: Environment number of OpenBLAS threads 1 given by OPENBLAS_NUM_THREADS [0] PetscBLASSetNumThreads(): Setting number of threads used for OpenBLAS provided BLAS 1 [0] PetscCommDuplicate(): Duplicating a communicator 1140850689 -2080374784 max tags = 1073741823 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 5; storage space: 20 unneeded,0 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 0 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 4)/(num_localrows 4) > 0.6. Use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 1 nodes of 4. Limit used: 5. Using Inode routines [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 5; storage space: 14 unneeded,1 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 1 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 1 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 3)/(num_localrows 4) > 0.6. Use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 2 nodes of 4. Limit used: 5. Using Inode routines [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 5; storage space: 14 unneeded,2 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 1 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 1 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 2)/(num_localrows 4) < 0.6. Do not use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 4 nodes out of 4 rows. Not using Inode routines 4×5 GridapPETSc.PETScMatrix: 0.0 0.0 5.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.0 0.0 0.0 0.0 0.0 0.0 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 3 X 2; storage space: 6 unneeded,0 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 0 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 3)/(num_localrows 3) > 0.6. Use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 1 nodes of 3. Limit used: 5. Using Inode routines [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 4; storage space: 0 unneeded,10 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 3 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 0)/(num_localrows 4) < 0.6. Do not use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 4 nodes out of 4 rows. Not using Inode routines [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatConvert(): Calling duplicate for initial matrix seqaij 0 1 [0] MatConvert(): Calling duplicate for initial matrix seqaij 0 1 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] Petsc_OuterComm_Attr_DeleteFn(): Removing reference to PETSc communicator embedded in a user MPI_Comm -2080374784 [0] Petsc_InnerComm_Attr_DeleteFn(): User MPI_Comm 1140850689 is being unlinked from inner PETSc comm -2080374784 [0] PetscCommDestroy(): Deleting PETSc MPI_Comm -2080374784 [0] Petsc_Counter_Attr_DeleteFn(): Deleting counter data in an MPI_Comm -2080374784 [0] PetscFinalize(): PetscFinalize() called 5.747270 seconds (1.72 M allocations: 115.929 MiB, 9.44% gc time, 93.99% compilation time) 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 KSP Object: 1 MPI process type: gmres restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement happy breakdown tolerance 1e-30 maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using DEFAULT norm type for convergence test PC Object: 1 MPI process type: jacobi PC has not been set up so information may be incomplete type DIAGONAL linear system matrix = precond matrix: Mat Object: 1 MPI process type: seqaij rows=4, cols=4 total: nonzeros=10, allocated nonzeros=0 total number of mallocs used during MatSetValues calls=0 not using I-node routines ┌ Warning: 1 objects still not finalized before calling GridapPETSc.Finalize() └ @ GridapPETSc ~/.julia/packages/GridapPETSc/l6eIU/src/Environment.jl:45 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 0 KSP Residual norm 2.000000000000e+00 1 KSP Residual norm 4.002966042487e-16 7.032414 seconds (4.11 M allocations: 283.480 MiB, 10.34% gc time, 90.75% compilation time) 0 SNES Function norm 3.605551275464e+00 1 SNES Function norm 4.444444444444e-01 2 SNES Function norm 7.111111111111e-02 3 SNES Function norm 3.936947327951e-03 4 SNES Function norm 1.525925473445e-05 5 SNES Function norm 2.328306437081e-10 6 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 6 0 SNES Function norm 0.000000000000e+00 1 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 0 SNES Function norm 0.000000000000e+00 1 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 0 SNES Function norm 1.486606874732e-01 1 SNES Function norm 8.402777777778e-03 2 SNES Function norm 6.831067663990e-05 3 SNES Function norm 4.665073682466e-09 4 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4 0 SNES Function norm 0.000000000000e+00 1 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 0 SNES Function norm 0.000000000000e+00 1 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 0 SNES Function norm 3.605551275464e+00 1 SNES Function norm 4.444444444444e-01 2 SNES Function norm 7.111111111111e-02 3 SNES Function norm 3.936947327951e-03 4 SNES Function norm 1.525925473445e-05 5 SNES Function norm 2.328306437081e-10 6 SNES Function norm 0.000000000000e+00 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 6 1.666980 seconds (798.03 k allocations: 53.666 MiB, 16.29% gc time, 83.72% compilation time) [0] PetscDetermineInitialFPTrap(): Floating point trapping is off by default 0 [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType host available, initializing [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDevice host initialized, default device id 0, view FALSE, init type lazy [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType cuda not available [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType hip not available [0] PetscDeviceInitializeTypeFromOptions_Private(): PetscDeviceType sycl not available [0] PetscInitialize_Common(): PETSc successfully started: number of processors = 1 [0] PetscGetHostName(): Rejecting domainname, likely is NIS GridapPETSc-against-FPNpzIDy.(none) [0] PetscInitialize_Common(): Running on machine: GridapPETSc-against-FPNpzIDy [0] PetscInitialize_Common(): BLAS: Environment number of OpenBLAS threads 1 given by OPENBLAS_NUM_THREADS [0] PetscBLASSetNumThreads(): Setting number of threads used for OpenBLAS provided BLAS 1 [0] PetscCommDuplicate(): Duplicating a communicator 1140850689 -2080374784 max tags = 1073741823 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 3; storage space: 2 unneeded,1 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 1 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 3)/(num_localrows 4) > 0.6. Use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 2 nodes of 4. Limit used: 5. Using Inode routines 4×3 GridapPETSc.PETScMatrix: -4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 3; storage space: 11 unneeded,1 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 1 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 3)/(num_localrows 4) > 0.6. Use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 2 nodes of 4. Limit used: 5. Using Inode routines 4×3 GridapPETSc.PETScMatrix: -4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] MatAssemblyEnd_SeqAIJ(): Matrix size: 4 X 3; storage space: 0 unneeded,1 used [0] MatAssemblyEnd_SeqAIJ(): Number of mallocs during MatSetValues() is 0 [0] MatAssemblyEnd_SeqAIJ(): Maximum nonzeros in any row is 1 [0] MatCheckCompressedRow(): Found the ratio (num_zerorows 3)/(num_localrows 4) > 0.6. Use CompressedRow routines. [0] MatSeqAIJCheckInode(): Found 2 nodes of 4. Limit used: 5. Using Inode routines 4×3 GridapPETSc.PETScMatrix: -2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 [0] MatConvert(): Calling duplicate for initial matrix seqaij 0 1 [0] MatConvert(): Calling duplicate for initial matrix seqaij 0 1 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 4-element GridapPETSc.PETScVector: 6.0 0.0 0.0 1.0 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 [0] PetscCommDuplicate(): Using internal PETSc communicator 1140850689 -2080374784 ┌ Warning: 1 objects still not finalized before calling GridapPETSc.Finalize() └ @ GridapPETSc ~/.julia/packages/GridapPETSc/l6eIU/src/Environment.jl:45 [0] PetscFinalize(): PetscFinalize() called 3.497774 seconds (941.06 k allocations: 63.152 MiB, 8.09% gc time, 91.61% compilation time) 0 KSP Residual norm 0.0467654 1 KSP Residual norm 0.015417 2 KSP Residual norm 0.00327706 3 KSP Residual norm 0.000661172 4 KSP Residual norm 0.000252898 5 KSP Residual norm 0.00014497 6 KSP Residual norm 7.44567e-05 7 KSP Residual norm 5.31437e-05 8 KSP Residual norm 3.10604e-05 9 KSP Residual norm 1.88474e-05 10 KSP Residual norm 1.67308e-05 11 KSP Residual norm 1.30481e-05 12 KSP Residual norm 8.92208e-06 13 KSP Residual norm 6.2216e-06 14 KSP Residual norm 5.78002e-06 15 KSP Residual norm 4.40273e-06 16 KSP Residual norm 4.00261e-06 17 KSP Residual norm 2.70432e-06 18 KSP Residual norm 2.34576e-06 19 KSP Residual norm 1.94042e-06 20 KSP Residual norm 1.75753e-06 21 KSP Residual norm 1.73547e-06 22 KSP Residual norm 1.62163e-06 23 KSP Residual norm 1.25495e-06 24 KSP Residual norm 1.01893e-06 25 KSP Residual norm 8.34647e-07 26 KSP Residual norm 6.48088e-07 27 KSP Residual norm 5.14953e-07 28 KSP Residual norm 4.21736e-07 29 KSP Residual norm 3.82565e-07 30 KSP Residual norm 3.11746e-07 31 KSP Residual norm 2.49033e-07 32 KSP Residual norm 2.33299e-07 33 KSP Residual norm 2.07937e-07 34 KSP Residual norm 1.80063e-07 35 KSP Residual norm 1.38409e-07 36 KSP Residual norm 1.20657e-07 37 KSP Residual norm 9.80194e-08 38 KSP Residual norm 7.25573e-08 39 KSP Residual norm 4.91734e-08 40 KSP Residual norm 3.75952e-08 41 KSP Residual norm 2.78836e-08 42 KSP Residual norm 2.23736e-08 43 KSP Residual norm 1.57428e-08 44 KSP Residual norm 1.24789e-08 45 KSP Residual norm 9.28278e-09 46 KSP Residual norm 6.0542e-09 47 KSP Residual norm 4.92096e-09 48 KSP Residual norm 3.61052e-09 49 KSP Residual norm 3.1137e-09 50 KSP Residual norm 1.99343e-09 51 KSP Residual norm 1.768e-09 52 KSP Residual norm 1.32989e-09 53 KSP Residual norm 9.447e-10 54 KSP Residual norm 6.254e-10 55 KSP Residual norm 4.207e-10 Linear solve converged due to CONVERGED_RTOL iterations 55 WARNING! There are options you set that were not used! WARNING! could be spelling mistake, etc! There is one unused database option. It is: Option left: name:-mg_levels_esteig_ksp_type value: cg source: command line 80.039994 seconds (53.44 M allocations: 3.473 GiB, 5.36% gc time, 99.11% compilation time) 0 KSP Residual norm 1.000000000000e+01 1 KSP Residual norm 1.167900528050e-13 Linear solve converged due to CONVERGED_ITS iterations 1 128.309610 seconds (54.80 M allocations: 3.691 GiB, 2.82% gc time, 98.54% compilation time) 0 SNES Function norm 2.409822369424e+06 Linear solve converged due to CONVERGED_RTOL iterations 54 1 SNES Function norm 8.075649416004e+00 Linear solve converged due to CONVERGED_RTOL iterations 39 2 SNES Function norm 4.662170753064e-01 Linear solve converged due to CONVERGED_RTOL iterations 37 3 SNES Function norm 8.399998666394e-03 Linear solve converged due to CONVERGED_RTOL iterations 37 4 SNES Function norm 4.665302403823e-06 Linear solve converged due to CONVERGED_RTOL iterations 44 5 SNES Function norm 1.574127275597e-11 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5 0 SNES Function norm 2.409822369424e+06 Linear solve converged due to CONVERGED_RTOL iterations 54 1 SNES Function norm 8.075649416004e+00 Linear solve converged due to CONVERGED_RTOL iterations 39 2 SNES Function norm 4.662170753064e-01 Linear solve converged due to CONVERGED_RTOL iterations 37 3 SNES Function norm 8.399998666394e-03 Linear solve converged due to CONVERGED_RTOL iterations 37 4 SNES Function norm 4.665302403823e-06 Linear solve converged due to CONVERGED_RTOL iterations 44 5 SNES Function norm 1.574127275597e-11 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5 22.199368 seconds (9.12 M allocations: 637.486 MiB, 4.12% gc time, 94.98% compilation time) 0 KSP Residual norm 8.550000000000e-03 1 KSP Residual norm 8.968352924103e-04 2 KSP Residual norm 9.188071216687e-05 3 KSP Residual norm 7.483127648168e-06 4 KSP Residual norm 6.216337456339e-07 5 KSP Residual norm 5.262981415328e-08 6 KSP Residual norm 4.447870837457e-09 7 KSP Residual norm 3.660520650081e-10 8 KSP Residual norm 3.000628543014e-11 9 KSP Residual norm 2.545610900010e-12 10 KSP Residual norm 2.084997771778e-13 Linear solve converged due to CONVERGED_RTOL iterations 10 KSP Object: 1 MPI process type: cg maximum iterations=1000, initial guess is zero tolerances: relative=1e-10, absolute=1e-50, divergence=10000. left preconditioning using UNPRECONDITIONED norm type for convergence test PC Object: 1 MPI process type: gamg type is MULTIPLICATIVE, levels=3 cycles=v Cycles per PCApply=1 Using externally compute Galerkin coarse grid matrices GAMG specific options Threshold for dropping small values in graph on each level = -1. -1. -1. Threshold scaling factor for each level not specified = 1. AGG specific options Number of levels of aggressive coarsening 0 MatCoarsen Object: (pc_gamg_) 1 MPI process type: misk Number smoothing steps to construct prolongation 1 Complexity: grid = 1.11385 operator = 1.15878 Per-level complexity: op = operator, int = interpolation #equations | #active PEs | avg nnz/row op | avg nnz/row int 7 1 7 0 76 1 32 4 729 1 22 6 Coarse grid solver -- level 0 ------------------------------- KSP Object: (mg_coarse_) 1 MPI process type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_) 1 MPI process type: bjacobi number of blocks = 1 Local solver information for first block is in the following KSP and PC objects on rank 0: Use -mg_coarse_ksp_view ::ascii_info_detail to display information for all blocks KSP Object: (mg_coarse_sub_) 1 MPI process type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI process type: cholesky out-of-place factorization tolerance for zero pivot 2.22045e-14 matrix ordering: nd factor fill ratio given 5., needed 1. Factored matrix follows: Mat Object: (mg_coarse_sub_) 1 MPI process type: seqsbaij rows=7, cols=7 package used to perform factorization: petsc total: nonzeros=28, allocated nonzeros=28 block size is 1 linear system matrix = precond matrix: Mat Object: (mg_coarse_sub_) 1 MPI process type: seqaij rows=7, cols=7 total: nonzeros=49, allocated nonzeros=49 total number of mallocs used during MatSetValues calls=0 using I-node routines: found 2 nodes, limit used is 5 linear system matrix = precond matrix: Mat Object: (mg_coarse_sub_) 1 MPI process type: seqaij rows=7, cols=7 total: nonzeros=49, allocated nonzeros=49 total number of mallocs used during MatSetValues calls=0 using I-node routines: found 2 nodes, limit used is 5 Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 1 MPI process type: chebyshev Chebyshev polynomial of first kind eigenvalue targets used: min 0.255929, max 2.81522 eigenvalues provided (min 0.325601, max 2.55929) with transform: [0. 0.1; 0. 1.1] maximum iterations=2, nonzero initial guess tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_levels_1_) 1 MPI process type: jacobi type DIAGONAL linear system matrix = precond matrix: Mat Object: 1 MPI process type: seqaij rows=76, cols=76 total: nonzeros=2432, allocated nonzeros=2432 total number of mallocs used during MatSetValues calls=0 not using I-node routines Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 2 ------------------------------- KSP Object: (mg_levels_2_) 1 MPI process type: chebyshev Chebyshev polynomial of first kind eigenvalue targets used: min 0.143003, max 1.57304 eigenvalues provided (min 0.109061, max 1.43003) with transform: [0. 0.1; 0. 1.1] maximum iterations=2, nonzero initial guess tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_levels_2_) 1 MPI process type: jacobi type DIAGONAL linear system matrix = precond matrix: Mat Object: 1 MPI process type: seqaij rows=729, cols=729 total: nonzeros=15625, allocated nonzeros=0 total number of mallocs used during MatSetValues calls=0 not using I-node routines Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Mat Object: 1 MPI process type: seqaij rows=729, cols=729 total: nonzeros=15625, allocated nonzeros=0 total number of mallocs used during MatSetValues calls=0 not using I-node routines 0 KSP Residual norm 8.550000000000e-03 1 KSP Residual norm 8.968352924103e-04 2 KSP Residual norm 9.188071216687e-05 3 KSP Residual norm 7.483127648168e-06 4 KSP Residual norm 6.216337456339e-07 5 KSP Residual norm 5.262981415328e-08 6 KSP Residual norm 4.447870837457e-09 7 KSP Residual norm 3.660520650081e-10 8 KSP Residual norm 3.000628543014e-11 9 KSP Residual norm 2.545610900010e-12 10 KSP Residual norm 2.084997771778e-13 Linear solve converged due to CONVERGED_RTOL iterations 10 KSP Object: 1 MPI process type: cg maximum iterations=1000, initial guess is zero tolerances: relative=1e-10, absolute=1e-50, divergence=10000. left preconditioning using UNPRECONDITIONED norm type for convergence test PC Object: 1 MPI process type: gamg type is MULTIPLICATIVE, levels=3 cycles=v Cycles per PCApply=1 Using externally compute Galerkin coarse grid matrices GAMG specific options Threshold for dropping small values in graph on each level = -1. -1. -1. Threshold scaling factor for each level not specified = 1. AGG specific options Number of levels of aggressive coarsening 0 MatCoarsen Object: (pc_gamg_) 1 MPI process type: misk Number smoothing steps to construct prolongation 1 Complexity: grid = 1.11385 operator = 1.15878 Per-level complexity: op = operator, int = interpolation #equations | #active PEs | avg nnz/row op | avg nnz/row int 7 1 7 0 76 1 32 4 729 1 22 6 Coarse grid solver -- level 0 ------------------------------- KSP Object: (mg_coarse_) 1 MPI process type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_) 1 MPI process type: bjacobi number of blocks = 1 [0]PETSC ERROR: [0]PETSC ERROR: [0]PETSC ERROR: Testing failed after 290.51s ERROR: LoadError: Package GridapPETSc errored during testing (received signal: 11) Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.10/Pkg/src/Operations.jl:2034 [3] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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::Base.PipeEndpoint}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval crashed after 441.36s: a segmentation fault happened