Package evaluation of FLOWPanel on Julia 1.12.0-rc2.1 (084dab1917*) started at 2025-09-12T16:04:28.729 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.54s ################################################################################ # Installation # Installing FLOWPanel... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Installed HDF5 ─── v0.16.16 Updating `~/.julia/environments/v1.12/Project.toml` [6be8c882] + FLOWPanel v1.2.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [0e736298] + Bessels v0.2.8 [d360d2e6] + ChainRulesCore v1.26.0 [7a955b69] + CircularArrays v1.4.0 [944b1d66] + CodecZlib v0.7.8 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.1 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [a33af91c] + CompositionsBase v0.1.2 [8f4d0f93] + Conda v1.10.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.1 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [39dd38d3] + Dierckx v0.5.4 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.5 [e2ba6199] + ExprTools v0.1.10 [6cb5d3fb] + FLOWMath v1.0.0 [6be8c882] + FLOWPanel v1.2.1 [9aa1b823] + FastClosures v0.3.2 [1a297f60] + FillArrays v1.14.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [f6369f11] + ForwardDiff v0.10.38 [069b7b12] + FunctionWrappers v1.1.3 [83792f5e] + GeometricTools v2.3.3 ⌅ [f67ccb44] + HDF5 v0.16.16 ⌅ [e7cbb90b] + ImplicitAD v0.3.1 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 ⌅ [ba0b0d4f] + Krylov v0.9.10 [b964fa9f] + LaTeXStrings v1.4.0 [9c8b4983] + LightXML v0.9.2 [5c8ed15e] + LinearOperators v2.11.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.16 ⌅ [eacbb407] + Meshes v0.41.1 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [77ba4419] + NaNMath v1.1.3 [b8a86587] + NearestNeighbors v0.4.22 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [43287f4e] + PtrArrays v1.3.0 [438e738f] + PyCall v1.96.4 [d330b81b] + PyPlot v2.11.6 [1fd47b50] + QuadGK v2.11.2 [94ee1d12] + Quaternions v0.7.6 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [37e2e3b7] + ReverseDiff v1.16.1 [f2b01f46] + Roots v2.2.10 [6038ab10] + Rotations v1.7.1 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.85 [28dd2a49] + TransformsBase v1.6.0 [1986cc42] + Unitful v1.24.0 [4004b06d] + VTKBase v1.0.1 [81def892] + VersionParsing v1.3.0 [64499a7a] + WriteVTK v1.21.2 [cd4c43a9] + Dierckx_jll v0.2.0+0 [0234f1f7] + HDF5_jll v1.14.6+0 ⌃ [e33a78d0] + Hwloc_jll v2.12.1+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [7cb0a576] + MPICH_jll v4.3.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.8+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [02c8fc9c] + XML2_jll v2.14.4+0 [477f73a3] + libaec_jll v1.1.4+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+1 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌃ 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 Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Building HDF5 ──→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/114e20044677badbc631ee6fdc80a67920561a29/build.log` Installation completed after 68.23s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 241.81s ################################################################################ # Testing # Testing FLOWPanel Status `/tmp/jl_7PqISd/Project.toml` [336ed68f] CSV v0.10.15 [a93c6f00] DataFrames v1.8.0 [39dd38d3] Dierckx v0.5.4 [6be8c882] FLOWPanel v1.2.1 ⌅ [f6369f11] ForwardDiff v0.10.38 [83792f5e] GeometricTools v2.3.3 ⌅ [e7cbb90b] ImplicitAD v0.3.1 ⌅ [ba0b0d4f] Krylov v0.9.10 [5c8ed15e] LinearOperators v2.11.0 [ae029012] Requires v1.3.1 [90137ffa] StaticArrays v1.9.15 [64499a7a] WriteVTK v1.21.2 [37e2e46d] LinearAlgebra v1.12.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_7PqISd/Manifest.toml` [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [0e736298] Bessels v0.2.8 [336ed68f] CSV v0.10.15 [d360d2e6] ChainRulesCore v1.26.0 [7a955b69] CircularArrays v1.4.0 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [a33af91c] CompositionsBase v0.1.2 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.0 [864edb3b] DataStructures v0.19.1 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [39dd38d3] Dierckx v0.5.4 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.5 [e2ba6199] ExprTools v0.1.10 [6cb5d3fb] FLOWMath v1.0.0 [6be8c882] FLOWPanel v1.2.1 [9aa1b823] FastClosures v0.3.2 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.14.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [83792f5e] GeometricTools v2.3.3 ⌅ [f67ccb44] HDF5 v0.16.16 ⌅ [e7cbb90b] ImplicitAD v0.3.1 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v0.21.4 ⌅ [ba0b0d4f] Krylov v0.9.10 [b964fa9f] LaTeXStrings v1.4.0 [9c8b4983] LightXML v0.9.2 [5c8ed15e] LinearOperators v2.11.0 [2ab3a3ac] LogExpFunctions v0.3.29 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 ⌅ [eacbb407] Meshes v0.41.1 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [77ba4419] NaNMath v1.1.3 [b8a86587] NearestNeighbors v0.4.22 [6fe1bfb0] OffsetArrays v1.17.0 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [08abe8d2] PrettyTables v3.0.8 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [1fd47b50] QuadGK v2.11.2 [94ee1d12] Quaternions v0.7.6 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.16.1 [f2b01f46] Roots v2.2.10 [6038ab10] Rotations v1.7.1 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [28dd2a49] TransformsBase v1.6.0 [1986cc42] Unitful v1.24.0 [4004b06d] VTKBase v1.0.1 [81def892] VersionParsing v1.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [64499a7a] WriteVTK v1.21.2 [cd4c43a9] Dierckx_jll v0.2.0+0 [0234f1f7] HDF5_jll v1.14.6+0 ⌃ [e33a78d0] Hwloc_jll v2.12.1+0 [94ce4f54] Libiconv_jll v1.18.0+0 [7cb0a576] MPICH_jll v4.3.1+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.8+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [02c8fc9c] XML2_jll v2.14.4+0 [477f73a3] libaec_jll v1.1.4+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+1 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ Info: Installing matplotlib via the Conda matplotlib package... [ Info: Running `conda install -q -y matplotlib` in root environment Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... done ## Package Plan ## environment location: /home/pkgeval/.julia/conda/3/x86_64 added / updated specs: - matplotlib The following packages will be downloaded: package | build ---------------------------|----------------- alsa-lib-1.2.14 | hb9d3cd8_0 553 KB conda-forge brotli-1.1.0 | hb9d3cd8_3 19 KB conda-forge brotli-bin-1.1.0 | hb9d3cd8_3 19 KB conda-forge cairo-1.18.4 | h3394656_0 955 KB conda-forge contourpy-1.3.3 | py312hd9148b4_2 289 KB conda-forge cycler-0.12.1 | pyhd8ed1ab_1 13 KB conda-forge cyrus-sasl-2.1.28 | hd9c7081_0 205 KB conda-forge dbus-1.16.2 | h3c4dab8_0 428 KB conda-forge double-conversion-3.3.1 | h5888daf_0 68 KB conda-forge font-ttf-dejavu-sans-mono-2.37| hab24e00_0 388 KB conda-forge font-ttf-inconsolata-3.000 | h77eed37_0 94 KB conda-forge font-ttf-source-code-pro-2.038| h77eed37_0 684 KB conda-forge font-ttf-ubuntu-0.83 | h77eed37_3 1.5 MB conda-forge fontconfig-2.15.0 | h7e30c49_1 259 KB conda-forge fonts-conda-ecosystem-1 | 0 4 KB conda-forge fonts-conda-forge-1 | 0 4 KB conda-forge fonttools-4.59.2 | py312h8a5da7c_0 2.8 MB conda-forge freetype-2.14.0 | ha770c72_1 169 KB conda-forge graphite2-1.3.14 | hecca717_2 97 KB conda-forge harfbuzz-11.4.5 | h15599e2_0 2.3 MB conda-forge kiwisolver-1.4.9 | py312h0a2e395_1 75 KB conda-forge lcms2-2.17 | h717163a_0 242 KB conda-forge lerc-4.0.0 | h0aef613_1 258 KB conda-forge libbrotlicommon-1.1.0 | hb9d3cd8_3 68 KB conda-forge libbrotlidec-1.1.0 | hb9d3cd8_3 32 KB conda-forge libbrotlienc-1.1.0 | hb9d3cd8_3 276 KB conda-forge libclang-cpp20.1-20.1.8 |default_h99862b1_1 20.3 MB conda-forge libclang13-21.1.0 |default_h746c552_1 11.8 MB conda-forge libcups-2.3.3 | hb8b1518_5 4.3 MB conda-forge libdeflate-1.24 | h86f0d12_0 71 KB conda-forge libdrm-2.4.125 | hb03c661_1 304 KB conda-forge libegl-1.7.0 | ha4b6fd6_2 44 KB conda-forge libfreetype-2.14.0 | ha770c72_1 8 KB conda-forge libfreetype6-2.14.0 | h73754d4_1 378 KB conda-forge libgl-1.7.0 | ha4b6fd6_2 132 KB conda-forge libglib-2.84.3 | hf39c6af_0 3.8 MB conda-forge libglvnd-1.7.0 | ha4b6fd6_2 129 KB conda-forge libglx-1.7.0 | ha4b6fd6_2 74 KB conda-forge libjpeg-turbo-3.1.0 | hb9d3cd8_0 614 KB conda-forge libllvm20-20.1.8 | hecd9e04_0 41.9 MB conda-forge libllvm21-21.1.0 | hecd9e04_0 42.3 MB conda-forge libntlm-1.8 | hb9d3cd8_0 33 KB conda-forge libopengl-1.7.0 | ha4b6fd6_2 50 KB conda-forge libpciaccess-0.18 | hb9d3cd8_0 28 KB conda-forge libpng-1.6.50 | h421ea60_1 310 KB conda-forge libpq-17.6 | h3675c94_1 2.5 MB conda-forge libtiff-4.7.0 | h8261f1e_6 423 KB conda-forge libwebp-base-1.6.0 | hd42ef1d_0 419 KB conda-forge libxcb-1.17.0 | h8a09558_0 387 KB conda-forge libxkbcommon-1.11.0 | he8b52b9_0 773 KB conda-forge libxslt-1.1.43 | h7a3aeb2_0 239 KB conda-forge matplotlib-3.10.6 | py312h7900ff3_1 17 KB conda-forge matplotlib-base-3.10.6 | py312he3d6523_1 7.9 MB conda-forge munkres-1.1.4 | pyhd8ed1ab_1 15 KB conda-forge openjpeg-2.5.3 | h55fea9a_1 349 KB conda-forge openldap-2.6.10 | he970967_0 762 KB conda-forge pcre2-10.45 | hc749103_0 1.1 MB conda-forge pillow-11.3.0 | py312h0e488c8_1 40.3 MB conda-forge pixman-0.46.4 | h54a6638_1 440 KB conda-forge pthread-stubs-0.4 | hb9d3cd8_1002 8 KB conda-forge pyparsing-3.2.3 | pyhe01879c_2 100 KB conda-forge pyside6-6.9.1 | py312hdb827e4_0 9.7 MB conda-forge python-dateutil-2.9.0.post0| pyhe01879c_2 228 KB conda-forge qhull-2020.2 | h434a139_5 540 KB conda-forge qt6-main-6.9.1 | h6ac528c_2 50.6 MB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge tornado-6.5.2 | py312h4c3975b_1 831 KB conda-forge unicodedata2-16.0.0 | py312h4c3975b_1 395 KB conda-forge wayland-1.24.0 | h3e06ad9_0 323 KB conda-forge xcb-util-0.4.1 | h4f16b4b_2 20 KB conda-forge xcb-util-cursor-0.1.5 | hb9d3cd8_0 20 KB conda-forge xcb-util-image-0.4.0 | hb711507_2 24 KB conda-forge xcb-util-keysyms-0.4.1 | hb711507_0 14 KB conda-forge xcb-util-renderutil-0.3.10 | hb711507_0 17 KB conda-forge xcb-util-wm-0.4.2 | hb711507_0 50 KB conda-forge xkeyboard-config-2.45 | hb9d3cd8_0 383 KB conda-forge xorg-libice-1.1.2 | hb9d3cd8_0 57 KB conda-forge xorg-libsm-1.2.6 | he73a12e_0 27 KB conda-forge xorg-libx11-1.8.12 | h4f16b4b_0 816 KB conda-forge xorg-libxau-1.0.12 | hb9d3cd8_0 14 KB conda-forge xorg-libxcomposite-0.4.6 | hb9d3cd8_2 13 KB conda-forge xorg-libxcursor-1.2.3 | hb9d3cd8_0 32 KB conda-forge xorg-libxdamage-1.1.6 | hb9d3cd8_0 13 KB conda-forge xorg-libxdmcp-1.1.5 | hb9d3cd8_0 19 KB conda-forge xorg-libxext-1.3.6 | hb9d3cd8_0 49 KB conda-forge xorg-libxfixes-6.0.1 | hb9d3cd8_0 19 KB conda-forge xorg-libxi-1.8.2 | hb9d3cd8_0 46 KB conda-forge xorg-libxrandr-1.5.4 | hb9d3cd8_0 29 KB conda-forge xorg-libxrender-0.9.12 | hb9d3cd8_0 32 KB conda-forge xorg-libxtst-1.2.5 | hb9d3cd8_3 32 KB conda-forge xorg-libxxf86vm-1.1.6 | hb9d3cd8_0 17 KB conda-forge ------------------------------------------------------------ Total: 258.1 MB The following NEW packages will be INSTALLED: alsa-lib conda-forge/linux-64::alsa-lib-1.2.14-hb9d3cd8_0 brotli conda-forge/linux-64::brotli-1.1.0-hb9d3cd8_3 brotli-bin conda-forge/linux-64::brotli-bin-1.1.0-hb9d3cd8_3 cairo conda-forge/linux-64::cairo-1.18.4-h3394656_0 contourpy conda-forge/linux-64::contourpy-1.3.3-py312hd9148b4_2 cycler conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_1 cyrus-sasl conda-forge/linux-64::cyrus-sasl-2.1.28-hd9c7081_0 dbus conda-forge/linux-64::dbus-1.16.2-h3c4dab8_0 double-conversion conda-forge/linux-64::double-conversion-3.3.1-h5888daf_0 font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0 font-ttf-inconsol~ conda-forge/noarch::font-ttf-inconsolata-3.000-h77eed37_0 font-ttf-source-c~ conda-forge/noarch::font-ttf-source-code-pro-2.038-h77eed37_0 font-ttf-ubuntu conda-forge/noarch::font-ttf-ubuntu-0.83-h77eed37_3 fontconfig conda-forge/linux-64::fontconfig-2.15.0-h7e30c49_1 fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0 fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-0 fonttools conda-forge/linux-64::fonttools-4.59.2-py312h8a5da7c_0 freetype conda-forge/linux-64::freetype-2.14.0-ha770c72_1 graphite2 conda-forge/linux-64::graphite2-1.3.14-hecca717_2 harfbuzz conda-forge/linux-64::harfbuzz-11.4.5-h15599e2_0 kiwisolver conda-forge/linux-64::kiwisolver-1.4.9-py312h0a2e395_1 lcms2 conda-forge/linux-64::lcms2-2.17-h717163a_0 lerc conda-forge/linux-64::lerc-4.0.0-h0aef613_1 libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.1.0-hb9d3cd8_3 libbrotlidec conda-forge/linux-64::libbrotlidec-1.1.0-hb9d3cd8_3 libbrotlienc conda-forge/linux-64::libbrotlienc-1.1.0-hb9d3cd8_3 libclang-cpp20.1 conda-forge/linux-64::libclang-cpp20.1-20.1.8-default_h99862b1_1 libclang13 conda-forge/linux-64::libclang13-21.1.0-default_h746c552_1 libcups conda-forge/linux-64::libcups-2.3.3-hb8b1518_5 libdeflate conda-forge/linux-64::libdeflate-1.24-h86f0d12_0 libdrm conda-forge/linux-64::libdrm-2.4.125-hb03c661_1 libegl conda-forge/linux-64::libegl-1.7.0-ha4b6fd6_2 libfreetype conda-forge/linux-64::libfreetype-2.14.0-ha770c72_1 libfreetype6 conda-forge/linux-64::libfreetype6-2.14.0-h73754d4_1 libgl conda-forge/linux-64::libgl-1.7.0-ha4b6fd6_2 libglib conda-forge/linux-64::libglib-2.84.3-hf39c6af_0 libglvnd conda-forge/linux-64::libglvnd-1.7.0-ha4b6fd6_2 libglx conda-forge/linux-64::libglx-1.7.0-ha4b6fd6_2 libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.1.0-hb9d3cd8_0 libllvm20 conda-forge/linux-64::libllvm20-20.1.8-hecd9e04_0 libllvm21 conda-forge/linux-64::libllvm21-21.1.0-hecd9e04_0 libntlm conda-forge/linux-64::libntlm-1.8-hb9d3cd8_0 libopengl conda-forge/linux-64::libopengl-1.7.0-ha4b6fd6_2 libpciaccess conda-forge/linux-64::libpciaccess-0.18-hb9d3cd8_0 libpng conda-forge/linux-64::libpng-1.6.50-h421ea60_1 libpq conda-forge/linux-64::libpq-17.6-h3675c94_1 libtiff conda-forge/linux-64::libtiff-4.7.0-h8261f1e_6 libwebp-base conda-forge/linux-64::libwebp-base-1.6.0-hd42ef1d_0 libxcb conda-forge/linux-64::libxcb-1.17.0-h8a09558_0 libxkbcommon conda-forge/linux-64::libxkbcommon-1.11.0-he8b52b9_0 libxslt conda-forge/linux-64::libxslt-1.1.43-h7a3aeb2_0 matplotlib conda-forge/linux-64::matplotlib-3.10.6-py312h7900ff3_1 matplotlib-base conda-forge/linux-64::matplotlib-base-3.10.6-py312he3d6523_1 munkres conda-forge/noarch::munkres-1.1.4-pyhd8ed1ab_1 openjpeg conda-forge/linux-64::openjpeg-2.5.3-h55fea9a_1 openldap conda-forge/linux-64::openldap-2.6.10-he970967_0 pcre2 conda-forge/linux-64::pcre2-10.45-hc749103_0 pillow conda-forge/linux-64::pillow-11.3.0-py312h0e488c8_1 pixman conda-forge/linux-64::pixman-0.46.4-h54a6638_1 pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-hb9d3cd8_1002 pyparsing conda-forge/noarch::pyparsing-3.2.3-pyhe01879c_2 pyside6 conda-forge/linux-64::pyside6-6.9.1-py312hdb827e4_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2 qhull conda-forge/linux-64::qhull-2020.2-h434a139_5 qt6-main conda-forge/linux-64::qt6-main-6.9.1-h6ac528c_2 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 tornado conda-forge/linux-64::tornado-6.5.2-py312h4c3975b_1 unicodedata2 conda-forge/linux-64::unicodedata2-16.0.0-py312h4c3975b_1 wayland conda-forge/linux-64::wayland-1.24.0-h3e06ad9_0 xcb-util conda-forge/linux-64::xcb-util-0.4.1-h4f16b4b_2 xcb-util-cursor conda-forge/linux-64::xcb-util-cursor-0.1.5-hb9d3cd8_0 xcb-util-image conda-forge/linux-64::xcb-util-image-0.4.0-hb711507_2 xcb-util-keysyms conda-forge/linux-64::xcb-util-keysyms-0.4.1-hb711507_0 xcb-util-renderut~ conda-forge/linux-64::xcb-util-renderutil-0.3.10-hb711507_0 xcb-util-wm conda-forge/linux-64::xcb-util-wm-0.4.2-hb711507_0 xkeyboard-config conda-forge/linux-64::xkeyboard-config-2.45-hb9d3cd8_0 xorg-libice conda-forge/linux-64::xorg-libice-1.1.2-hb9d3cd8_0 xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.6-he73a12e_0 xorg-libx11 conda-forge/linux-64::xorg-libx11-1.8.12-h4f16b4b_0 xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.12-hb9d3cd8_0 xorg-libxcomposite conda-forge/linux-64::xorg-libxcomposite-0.4.6-hb9d3cd8_2 xorg-libxcursor conda-forge/linux-64::xorg-libxcursor-1.2.3-hb9d3cd8_0 xorg-libxdamage conda-forge/linux-64::xorg-libxdamage-1.1.6-hb9d3cd8_0 xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.5-hb9d3cd8_0 xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.6-hb9d3cd8_0 xorg-libxfixes conda-forge/linux-64::xorg-libxfixes-6.0.1-hb9d3cd8_0 xorg-libxi conda-forge/linux-64::xorg-libxi-1.8.2-hb9d3cd8_0 xorg-libxrandr conda-forge/linux-64::xorg-libxrandr-1.5.4-hb9d3cd8_0 xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.12-hb9d3cd8_0 xorg-libxtst conda-forge/linux-64::xorg-libxtst-1.2.5-hb9d3cd8_3 xorg-libxxf86vm conda-forge/linux-64::xorg-libxxf86vm-1.1.6-hb9d3cd8_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ∇ϕ = u element tests Element ∇ϕ (automatic diff) u (analytic) max((∇ϕ .- u)./u) source [-0.031, -0.038, -0.026] [-0.031, -0.038, -0.026] 1.27e-13 ﹪ doublet [-0.029, -0.001, 0.015] [-0.029, -0.001, 0.015] 1.23e-12 ﹪ Memory-allocation element tests Element ϕ u source 0 bytes 0 bytes doublet 0 bytes 0 bytes Solenoidal and irrotational tests Element ∇ ⋅u ∇ × u source 1.388e-17 [-1.4e-17, 2.7e-17, 2.8e-17] doublet 0.000e+00 [ 1.7e-16, -1.1e-16, 1.1e-16] Test Summary: | Pass Total Time Element Tests | 6 6 26.2s Test source properties xinf: [-0.05572000000000005, -0.08755999999999997, 1.0e10] ϕ(-∞): -9.5367431640625e-7 ϕ(-∞) == 0 ? true dϕ/dz(0, 0, -0): -0.49999998585903427 σ: 1.0 dϕ/dz(-0) == -σ/2 ? true Test doublet properties xinf: [-0.05572000000000005, -0.08755999999999997, 1.0e10] ϕ(-∞): 0.0 ϕ(-∞) == 0 ? true ϕ(0, 0, -0): 0.49999999546791773 μ: 1.0 ϕ(0, 0, -0) == +μ/2 ? true Test Summary: | Pass Total Time Element Properties | 4 4 6.2s ∇ϕ = u element tests Element ∇ϕ (automatic diff) u (analytic) max((∇ϕ .- u)./u) semi-infinite double [-0.011, -0.128, -0.203] [-0.011, -0.128, -0.203] 4.48e-13 ﹪ Memory-allocation element tests Element ϕ u semi-infinite double 0 bytes 0 bytes Solenoidal and irrotational tests Element ∇ ⋅u ∇ × u semi-infinite double -2.776e-17 [ 1.1e-16, 1.2e-17, -6.9e-18] Test Summary: | Pass Total Time Semi-Infinite Element Tests | 3 3 3.3s Test semi-infinite doublet properties ϕ(+∞): 1.5915494309189534e-15 ϕ(+∞) == 0 ? true ϕ(0, 0, +0): -0.4999999958332695 μ: 1.0 ϕ(0, 0, +0) == -μ/2 ? true Test Summary: | Pass Total Time Semi-Infinite Element Properties | 2 2 0.0s Test Summary: | Pass Total Time Grid Tests | 9 9 13.6s Swept-wing test (multibody linear solver) Generating body... Number of panels: 1536 Solver CL CD Time CL error Experimental 0.238 0.005 - - Backslash 0.2319 0.0131 13.84 seconds 2.57﹪ LUdiv 0.2319 0.0131 1.36 seconds 2.57﹪ Test Summary: | Pass Total Time Solver Tests | 2 2 2m14.5s Precompiling packages... 34861.2 ms ✓ CSV 1 dependency successfully precompiled in 35 seconds. 29 already precompiled. Precompiling packages... 43919.1 ms ✓ PrettyTables 100057.3 ms ✓ DataFrames 2 dependencies successfully precompiled in 146 seconds. 34 already precompiled. Precompiling packages... 10910.9 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 12 seconds. 48 already precompiled. Precompiling packages... 8779.0 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 10 seconds. 63 already precompiled. Resolving package versions... Updating `/tmp/jl_7PqISd/Project.toml` [052768ef] + CUDA v5.8.3 Updating `/tmp/jl_7PqISd/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [79e6a3ab] + Adapt v4.3.0 [a9b6321e] + Atomix v1.1.2 [ab4f0b2a] + BFloat16s v0.5.1 [fa961155] + CEnum v0.5.0 [052768ef] + CUDA v5.8.3 [1af6417a] + CUDA_Runtime_Discovery v1.0.0 [0c68f7d7] + GPUArrays v11.2.5 [46192b85] + GPUArraysCore v0.2.0 [61eb1bfa] + GPUCompiler v1.6.1 [096a3bc2] + GPUToolbox v0.3.0 [076d061b] + HashArrayMappedTries v0.2.0 [63c18a36] + KernelAbstractions v0.9.38 [929cbde3] + LLVM v9.4.2 [8b046642] + LLVMLoopInfo v1.0.0 [5da4648a] + NVTX v1.0.1 ⌅ [08abe8d2] ↓ PrettyTables v3.0.8 ⇒ v2.4.0 [loaded: v3.0.8] [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [7e506255] + ScopedValues v1.5.0 [6c6a2e73] + Scratch v1.3.0 [e689c965] + Tracy v0.1.6 [013be700] + UnsafeAtomics v0.3.0 [d1e2174e] + CUDA_Compiler_jll v0.2.1+0 [4ee394cb] + CUDA_Driver_jll v13.0.1+0 [76a88914] + CUDA_Runtime_jll v0.19.1+0 [e33a78d0] ↑ Hwloc_jll v2.12.1+0 ⇒ v2.12.2+0 [loaded: v2.12.1+0] [9c1d0b0a] + JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] + LLVMExtra_jll v0.0.37+2 [ad6e5548] + LibTracyClient_jll v0.9.1+6 [e98f9f5b] + NVTX_jll v3.2.2+0 ⌅ [02c8fc9c] ↓ XML2_jll v2.14.4+0 ⇒ v2.13.8+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [1e29f10c] + demumble_jll v1.3.0+0 [3fa0cd96] - REPL v1.11.0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Precompiling packages... 32903.4 ms ✓ PrettyTables 15985.0 ms ✓ GPUArrays Info Given CUDA was explicitly requested, output will be shown live  WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "Int" refers to `Base.Int`. 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 Int end`.  Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "UInt" refers to `Base.UInt`. 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 UInt end`.  Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. 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 BroadcastStyle end`.  Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. ┌ Warning: Module PrettyTables with build ID fafbfcfd-eb8a-4ad2-fa65-966f48ae7038 is missing from the cache. │ This may mean PrettyTables [08abe8d2-0d0c-5749-adfa-8a2ac140af0d] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 53346.1 ms ? CUDA 180814.5 ms ? Atomix → AtomixCUDAExt 2 dependencies successfully precompiled in 287 seconds. 100 already precompiled. 1 dependency precompiled but a different version is currently loaded. Restart julia to access the new version. Otherwise, loading dependents of this package may trigger further precompilation to work with the unexpected version. 2 dependencies failed but may be precompilable after restarting julia 2 dependencies had output during precompilation: ┌ Atomix → AtomixCUDAExt │ WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import. │ NOTE: Assumed "Int" refers to `Base.Int`. 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 Int end`. │ Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. │ WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import. │ NOTE: Assumed "UInt" refers to `Base.UInt`. 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 UInt end`. │ Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. │ WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import. │ NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. 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 BroadcastStyle end`. │ Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. │ ┌ Warning: Module PrettyTables with build ID fafbfcfd-eb8a-4ad2-fa65-966f48ae7038 is missing from the cache. │ │ This may mean PrettyTables [08abe8d2-0d0c-5749-adfa-8a2ac140af0d] does not support precompilation but is imported by a module that does. │ └ @ Base loading.jl:2613 └ ┌ CUDA │ [Output was shown above] └ WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "Int" refers to `Base.Int`. 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 Int end`. Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "UInt" refers to `Base.UInt`. 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 UInt end`. Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. 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 BroadcastStyle end`. Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. ┌ Warning: Module PrettyTables with build ID fafbfcfd-eb8a-4ad2-fa65-966f48ae7038 is missing from the cache. │ This may mean PrettyTables [08abe8d2-0d0c-5749-adfa-8a2ac140af0d] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 Precompiling packages... 3445.0 ms ✓ Transducers → TransducersAdaptExt 1 dependency successfully precompiled in 4 seconds. 44 already precompiled. Precompiling packages... 4487.7 ms ✓ KernelAbstractions → SparseArraysExt 1 dependency successfully precompiled in 5 seconds. 29 already precompiled. WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "Int" refers to `Base.Int`. 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 Int end`. Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "UInt" refers to `Base.UInt`. 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 UInt end`. Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import. NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. 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 BroadcastStyle end`. Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. 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 SparseVector end`. Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. 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 SparseMatrixCSC end`. Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import. NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. 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 CuVector end`. Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import. NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. 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 CuMatrix end`. Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import. NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. 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 CuArray end`. Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. Precompiling packages... 63684.8 ms ? CUDA Info Given AtomixCUDAExt was explicitly requested, output will be shown live  ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 1750.2 ms ? Atomix → AtomixCUDAExt ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 Precompiling packages... 64451.4 ms ? CUDA Info Given SpecialFunctionsExt was explicitly requested, output will be shown live  ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 1719.4 ms ? CUDA → SpecialFunctionsExt 1791.2 ms ? Atomix → AtomixCUDAExt ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 Precompiling packages... 65698.4 ms ? CUDA 1762.0 ms ? Atomix → AtomixCUDAExt Info Given ChainRulesCoreExt was explicitly requested, output will be shown live  ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 1860.0 ms ? CUDA → ChainRulesCoreExt ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 Resolving package versions... Updating `/tmp/jl_7PqISd/Project.toml` [dde4c033] + Metal v1.7.0 Updating `/tmp/jl_7PqISd/Manifest.toml` [523fee87] + CodecBzip2 v0.8.5 [dde4c033] + Metal v1.7.0 [e86c9b32] + ObjectiveC v3.4.2 [6e34b625] + Bzip2_jll v1.0.9+0 [f52de702] + LLVMDowngrader_jll v0.6.0+1 Precompiling packages... 1485.0 ms ✓ CodecBzip2 76629.8 ms ✓ Metal 18033.3 ms ✓ Atomix → AtomixMetalExt 3 dependencies successfully precompiled in 97 seconds. 64 already precompiled. ┌ Error: Metal.jl is only supported on macOS └ @ Metal ~/.julia/packages/Metal/uq8sb/src/initialization.jl:32 Precompiling packages... 76074.5 ms ? CUDA 16776.8 ms ✓ Metal → SpecialFunctionsExt Info Given SpecialFunctionsExt was explicitly requested, output will be shown live  ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 1796.3 ms ? CUDA → SpecialFunctionsExt 1849.9 ms ? Atomix → AtomixCUDAExt 1 dependency successfully precompiled in 100 seconds. 116 already precompiled. 3 dependencies precompiled but different versions are currently loaded. Restart julia to access the new versions. Otherwise, loading dependents of these packages may trigger further precompilation to work with the unexpected versions. 3 dependencies failed but may be precompilable after restarting julia 3 dependencies had output during precompilation: ┌ Atomix → AtomixCUDAExt │ ┌ Warning: Module CUDA with build ID ffffffff-ffff-ffff-280e-4ade85857a58 is missing from the cache. │ │ This may mean CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] does not support precompilation but is imported by a module that does. │ └ @ Base loading.jl:2613 └ ┌ CUDA → SpecialFunctionsExt │ [Output was shown above] └ ┌ CUDA │ WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import. │ NOTE: Assumed "Int" refers to `Base.Int`. 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 Int end`. │ Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. │ WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import. │ NOTE: Assumed "UInt" refers to `Base.UInt`. 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 UInt end`. │ Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. │ WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import. │ NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. 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 BroadcastStyle end`. │ Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. │ ┌ Warning: Module PrettyTables with build ID fafbfcfd-eb8a-4ad2-fa65-966f48ae7038 is missing from the cache. │ │ This may mean PrettyTables [08abe8d2-0d0c-5749-adfa-8a2ac140af0d] does not support precompilation but is imported by a module that does. │ └ @ Base loading.jl:2613 └ Resolving package versions... Updating `/tmp/jl_7PqISd/Project.toml` [21141c5a] + AMDGPU v2.1.0 Updating `/tmp/jl_7PqISd/Manifest.toml` [21141c5a] + AMDGPU v2.1.0 [6a4ca0a5] + AcceleratedKernels v0.4.3 ⌅ [86de99a1] + LLVM_jll v18.1.7+4 ⌅ [873c0968] + ROCmDeviceLibs_jll v6.2.1+0 [d55e3150] + LLD_jll v18.1.7+5 [8f36deef] + libLLVM_jll v18.1.7+5 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Precompiling packages... 11110.9 ms ✓ AcceleratedKernels Info Given AMDGPU was explicitly requested, output will be shown live  ┌ Warning: Module PrettyTables with build ID fafbfcfd-eb8a-4ad2-fa65-966f48ae7038 is missing from the cache. │ This may mean PrettyTables [08abe8d2-0d0c-5749-adfa-8a2ac140af0d] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 14925.5 ms ? AMDGPU 1 dependency successfully precompiled in 29 seconds. 88 already precompiled. 1 dependencies failed but may be precompilable after restarting julia 1 dependency had output during precompilation: ┌ AMDGPU │ [Output was shown above] └ ┌ Warning: Module PrettyTables with build ID fafbfcfd-eb8a-4ad2-fa65-966f48ae7038 is missing from the cache. │ This may mean PrettyTables [08abe8d2-0d0c-5749-adfa-8a2ac140af0d] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 Precompiling packages... 15464.0 ms ? AMDGPU Info Given AMDGPUChainRulesCoreExt was explicitly requested, output will be shown live  ┌ Warning: Module AMDGPU with build ID ffffffff-ffff-ffff-c41c-46b817f2f477 is missing from the cache. │ This may mean AMDGPU [21141c5a-9bdb-4563-92ae-f87d6854732e] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 948.7 ms ? AMDGPU → AMDGPUChainRulesCoreExt ┌ Warning: Module AMDGPU with build ID ffffffff-ffff-ffff-c41c-46b817f2f477 is missing from the cache. │ This may mean AMDGPU [21141c5a-9bdb-4563-92ae-f87d6854732e] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2613 Duct test (least-squares solver + ∇μ scheme) Generating body... Number of panels: 7200 Solver Lift Drag Time L error D error Reference 349.9 18.0 - - - Backslash 349.9 18.0 85.45 seconds 7.83e-10﹪ 7.66e-09﹪ LUdiv 349.9 18.0 64.17 seconds 7.83e-10﹪ 7.66e-09﹪ Test Summary: | Pass Total Time Solver Tests 2 | 2 2 5m00.6s Resolving package versions... Updating `/tmp/jl_7PqISd/Project.toml` ⌃ [f5a160d5] + GeoIO v1.12.15 Updating `/tmp/jl_7PqISd/Manifest.toml` [c9ce4bd3] + ArchGDAL v0.10.10 [4c555306] + ArrayLayouts v1.11.2 [39de3d68] + AxisArrays v0.4.8 [c3b6d118] + BitIntegers v0.3.5 ⌅ [179af706] + CFTime v0.1.4 ⌅ [324d7699] + CategoricalArrays v0.10.8 [0b6fb165] + ChunkCodecCore v1.0.0 [653b0ff7] + ChunkCodecLibBrotli v1.0.0 [7e9cc85e] + ChunkCodecLibLz4 v1.0.0 [eac87354] + ChunkCodecLibSnappy v1.0.0 [4c0bbee4] + ChunkCodecLibZlib v1.0.0 [55437552] + ChunkCodecLibZstd v1.0.0 [35d6a980] + ColorSchemes v3.30.0 ⌅ [3da002f7] ↓ ColorTypes v0.12.1 ⇒ v0.11.5 [loaded: v0.12.1] ⌃ [c3611d14] + ColorVectorSpace v0.10.0 ⌅ [03fe91ce] + Colorfy v0.1.6 ⌅ [5ae59095] ↓ Colors v0.13.1 ⇒ v0.12.11 [loaded: v0.13.1] ⌅ [9cc86067] + ColumnSelectors v0.1.1 ⌅ [1fbeeb36] + CommonDataModel v0.3.10 [75c7ada1] + DBFTables v1.2.7 ⌅ [6cb2f572] + DataScienceTraits v0.2.8 ⌅ [864edb3b] ↓ DataStructures v0.19.1 ⇒ v0.18.22 [loaded: v0.19.1] [55939f99] + DecFP v1.4.1 [8bb1440f] + DelimitedFiles v1.9.1 ⌅ [3c3547ce] + DiskArrays v0.3.23 [31c24e10] + Distributions v0.25.120 [411431e0] + Extents v0.1.6 [5207ad80] + FNVHash v0.1.0 [5789e2e9] + FileIO v1.17.0 [1fa38f19] + Format v1.3.7 [add2ef01] + GDAL v1.11.0 [b16dfd50] + GRIB v0.4.0 ⌅ [82be9cdb] + GRIBDatasets v0.3.2 [68eda718] + GeoFormatTypes v0.4.4 ⌃ [f5a160d5] + GeoIO v1.12.15 [cf35fbd7] + GeoInterface v1.5.0 [61d90e0f] + GeoJSON v0.8.4 ⌅ [e99870d8] + GeoParquet v0.2.2 ⌃ [e502b557] + GeoTables v1.20.1 ⌃ [4610876b] + GslibIO v1.4.11 [34004b35] + HypergeometricFunctions v0.3.28 [2803e5a7] + ImageAxes v0.6.12 [c817782e] + ImageBase v0.1.7 [a09fc81d] + ImageCore v0.10.5 [82e4d734] + ImageIO v0.6.9 [bc367c6b] + ImageMetadata v0.9.10 [9b13fd28] + IndirectArrays v1.0.0 [d25df0c9] + Inflate v0.1.5 [8197267c] + IntervalSets v0.7.11 [c8e1da08] + IterTools v1.10.0 [0f8b85d8] + JSON3 v1.14.3 [b835a17e] + JpegTurbo v0.1.6 [8ac3fa9e] + LRUCache v1.6.2 [5078a376] + LazyArrays v2.6.2 [8cdb02fc] + LazyModules v0.3.1 [a4a7f996] + LightBSON v1.3.1 [dbb5928d] + MappedArrays v0.4.2 ⌅ [eacbb407] ↑ Meshes v0.41.1 ⇒ v0.42.2 [loaded: v0.41.1] [e94cdb99] + MosaicViews v0.3.4 ⌃ [85f8d34a] + NCDatasets v0.14.0 [f09324ee] + Netpbm v1.1.1 [52e1d378] + OpenEXR v0.3.3 [90014a1f] + PDMats v0.11.35 [f57f5aa1] + PNGFiles v0.4.4 [5432bcbf] + PaddedViews v0.5.12 [98572fba] + Parquet2 v0.2.33 [eebad327] + PkgVersion v0.3.3 [42171d58] + PlyIO v1.2.0 [92933f4c] + ProgressMeter v1.11.0 [4b34888f] + QOI v1.0.1 [b3c3ace0] + RangeArrays v0.3.2 [dc215faf] + ReadVTK v0.2.5 [79098fc4] + Rmath v0.8.0 [fdea26ae] + SIMD v3.7.1 [8e980c4a] + Shapefile v0.13.3 [699a6c99] + SimpleTraits v0.9.5 [45858cf5] + Sixel v0.1.5 [cae243ae] + StackViews v0.1.2 [4c63d2b9] + StatsFuns v1.5.0 [856f2bd8] + StructTypes v1.11.0 [ab02a1b2] + TableOperations v1.2.0 [62fd8b95] + TensorCore v0.1.1 [9be31aac] + Thrift2 v0.2.1 [731e570b] + TiffImages v0.11.6 [c4a57d5a] + UnsafeArrays v1.0.8 [e3aaa7dc] + WebP v0.1.3 [0f680547] + WellKnownGeometry v0.2.5 [8ce61222] + Arrow_jll v19.0.1+0 [0b7ba130] + Blosc_jll v1.21.7+0 [47200ebd] + DecFP_jll v2.0.3+1 [2e619515] + Expat_jll v2.7.1+0 [a7073274] + GDAL_jll v303.1100.400+0 [d604d12d] + GEOS_jll v3.14.0+0 [59f7168a] + Giflib_jll v5.2.3+0 [818ab7a1] + HDF4_jll v4.3.2+0 [a51ab1cf] + ICU_jll v76.2.0+0 [905a6f67] + Imath_jll v3.1.11+0 [aacddb02] + JpegTurbo_jll v3.1.3+0 [b39eb1a6] + Kerberos_krb5_jll v1.21.3+0 [88015f11] + LERC_jll v4.0.1+0 [1d63c593] + LLVMOpenMP_jll v18.1.8+0 [08be9ffa] + LibPQ_jll v16.8.0+0 [7e76a0d4] + Libglvnd_jll v1.7.1+1 [89763e89] + Libtiff_jll v4.7.1+0 [d3a379c0] + LittleCMS_jll v2.17.0+0 [5ced341a] + Lz4_jll v1.10.1+0 [7243133f] + NetCDF_jll v401.900.300+0 [18a262bb] + OpenEXR_jll v3.2.4+0 [643b3616] + OpenJpeg_jll v2.5.4+0 [58948b4f] + PROJ_jll v902.600.200+0 [784f63db] + Qhull_jll v10008.0.1004+0 [f50d1b31] + Rmath_jll v0.5.1+0 [76ed43ae] + SQLite_jll v3.48.0+0 [e0b8ae26] + Thrift_jll v0.21.1+0 [ffd25f8a] + XZ_jll v5.8.1+0 [4f6342f7] + Xorg_libX11_jll v1.8.12+0 [0c0b7dd1] + Xorg_libXau_jll v1.0.13+0 [a3789734] + Xorg_libXdmcp_jll v1.1.6+0 [1082639a] + Xorg_libXext_jll v1.3.7+0 [c7cfdc94] + Xorg_libxcb_jll v1.17.1+0 [c5fb5394] + Xorg_xtrans_jll v1.6.0+0 [3161d3a3] + Zstd_jll v1.5.7+1 [28df3c45] + boost_jll v1.87.0+0 [4611771a] + brotli_jll v1.1.1+0 [b04048ba] + eccodes_jll v2.36.0+0 [06c338fa] + libgeotiff_jll v100.702.400+0 [b53b4c65] + libpng_jll v1.6.50+0 [075b6546] + libsixel_jll v1.10.5+0 [c5f90fcd] + libwebp_jll v1.6.0+0 [337d8026] + libzip_jll v1.11.3+0 [888e69b1] + muparser_jll v2.3.5+0 [fe1e1685] + snappy_jll v1.2.3+0 [3fa0cd96] + REPL v1.11.0 [4607b0f0] + SuiteSparse [efcefdf7] + PCRE2_jll v10.44.0+1 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` Precompiling packages... 4586.0 ms ✓ DataScienceTraits 1743.0 ms ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 6086.9 ms ✓ ColorVectorSpace 13167.5 ms ✓ Colors 2286.2 ms ✓ HDF4_jll 89889.6 ms ✓ TiffImages 4492.4 ms ✓ CommonDataModel 7847.3 ms ✓ DecFP 9490.0 ms ✓ LazyArrays 3037.2 ms ✓ DBFTables 20692.0 ms ✓ GeoJSON 2512.3 ms ✓ WriteVTK 2504.1 ms ✓ ReadVTK 2406.7 ms ✓ eccodes_jll 1958.3 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 495 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 poptask at ./task.jl:1187 wait at ./task.jl:1199 #wait#398 at ./condition.jl:141 wait at ./condition.jl:136 [inlined] _trywait at ./asyncevent.jl:185 #632 at ./asyncevent.jl:359 unknown function (ip: 0x78cff619115d) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 poptask at ./task.jl:1187 wait at ./task.jl:1199 #wait#398 at ./condition.jl:141 wait at ./condition.jl:136 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 jfptr_wait_80754.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 subprocess_handler at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2445 unknown function (ip: 0x7adb18f8dc13) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 #204 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2385 withenv at ./env.jl:265 #189 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2204 with_temp_env at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2062 #185 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2171 #mktempdir#21 at ./file.jl:899 unknown function (ip: 0x7adb18f849cc) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 mktempdir at ./file.jl:895 mktempdir at ./file.jl:895 #sandbox#181 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2118 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2110 unknown function (ip: 0x7adb18f7faa9) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 #test#192 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2370 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2280 [inlined] #test#170 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:483 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:462 unknown function (ip: 0x7adb18f7f001) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 #test#84 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:164 unknown function (ip: 0x7adb18f7dbe0) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:153 #test#82 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [inlined] #test#81 at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 [inlined] test at /source/usr/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 unknown function (ip: 0x7adb18f74c3f) at (unknown file) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:693 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 jl_toplevel_eval_flex at /source/src/toplevel.c:1035 jl_toplevel_eval_flex at /source/src/toplevel.c:975 ijl_toplevel_eval at /source/src/toplevel.c:1047 ijl_toplevel_eval_in at /source/src/toplevel.c:1092 eval at ./boot.jl:489 include_string at ./loading.jl:2843 _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 _include at ./loading.jl:2903 include at ./Base.jl:305 exec_options at ./client.jl:321 _start at ./client.jl:554 jfptr__start_94127.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4005 [inlined] ijl_apply_generic at /source/src/gf.c:4205 jl_apply at /source/src/julia.h:2381 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1139 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7adb34e42249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.12/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007adb1abfc010 Total snapshots: 328. Utilization: 0% ╎328 @Base/client.jl:554 _start() ╎ 328 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 328 @Base/Base.jl:305 include(mod::Module, _path::String) ╎ 328 @Base/loading.jl:2903 _include(mapexpr::Function, mod::Module, _pat… ╎ 328 @Base/loading.jl:2843 include_string(mapexpr::typeof(identity), mo… ╎ 328 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 328 @Pkg/src/API.jl:151 kwcall(::@NamedTuple{julia_args::Cmd}, ::typ… ╎ ╎ 328 @Pkg/src/API.jl:151 #test#81 ╎ ╎ 328 @Pkg/src/API.jl:152 test ╎ ╎ 328 @Pkg/src/API.jl:152 test(pkgs::Vector{String}; kwargs::Base.P… ╎ ╎ 328 @Pkg/src/API.jl:153 kwcall(::@NamedTuple{julia_args::Cmd}, :… ╎ ╎ ╎ 328 @Pkg/src/API.jl:164 test(pkgs::Vector{PackageSpec}; io::IOC… ╎ ╎ ╎ 328 @Pkg/src/API.jl:462 kwcall(::@NamedTuple{julia_args::Cmd, … ╎ ╎ ╎ 328 @Pkg/src/API.jl:483 test(ctx::Pkg.Types.Context, pkgs::Ve… ╎ ╎ ╎ 328 @Pkg/…erations.jl:2280 test ╎ ╎ ╎ 328 @Pkg/…erations.jl:2370 test(ctx::Pkg.Types.Context, pkg… ╎ ╎ ╎ ╎ 328 @Pkg/…rations.jl:2110 kwcall(::@NamedTuple{preferences… ╎ ╎ ╎ ╎ 328 @Pkg/…rations.jl:2118 #sandbox#181 ╎ ╎ ╎ ╎ 328 @Base/file.jl:895 mktempdir(fn::Function) ╎ ╎ ╎ ╎ 328 @Base/file.jl:895 mktempdir(fn::Function, parent::S… ╎ ╎ ╎ ╎ 328 @Base/file.jl:899 mktempdir(fn::Pkg.Operations.var… ╎ ╎ ╎ ╎ ╎ 328 @Pkg/…tions.jl:2171 (::Pkg.Operations.var"#185#18… ╎ ╎ ╎ ╎ ╎ 328 @Pkg/…tions.jl:2062 with_temp_env(fn::Pkg.Operat… ╎ ╎ ╎ ╎ ╎ 328 @Pkg/…tions.jl:2204 (::Pkg.Operations.var"#189#… ╎ ╎ ╎ ╎ ╎ 328 @Base/env.jl:265 withenv(::Pkg.Operations.var"… ╎ ╎ ╎ ╎ ╎ 328 @Pkg/…ions.jl:2385 (::Pkg.Operations.var"#204… ╎ ╎ ╎ ╎ ╎ ╎ 328 @Pkg/…ons.jl:2445 subprocess_handler(cmd::Cm… ╎ ╎ ╎ ╎ ╎ ╎ 328 @Base/…ss.jl:687 wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 328 @Base/…ss.jl:694 wait(x::Base.Process, syn… ╎ ╎ ╎ ╎ ╎ ╎ 328 @Base/…on.jl:136 wait ╎ ╎ ╎ ╎ ╎ ╎ 328 @Base/…on.jl:141 wait(c::Base.GenericCon… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 328 @Base/…sk.jl:1199 wait() 327╎ ╎ ╎ ╎ ╎ ╎ ╎ 328 @Base/…sk.jl:1187 poptask(W::Base.Intr… [495] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/FLOWPanel/cHeq4/test/runtests_meshes.jl:10 PkgEval terminated after 2732.22s: test duration exceeded the time limit