Package evaluation of MLJScikitLearn on Julia 1.13.0-DEV.853 (3e868b27cf*) started at 2025-07-17T03:11:15.985 ################################################################################ # Set-up # Set-up completed after 0.24s ################################################################################ # Installation # Installing MLJScikitLearn... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.13/Project.toml` [8243b59d] + MLJScikitLearn v0.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [34da2185] + Compat v4.17.0 [8f4d0f93] + Conda v1.10.2 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [ffbed154] + DocStringExtensions v0.9.5 [842dd82b] + InlineStrings v1.4.4 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v0.21.4 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [e80e1ace] + MLJModelInterface v0.2.7 [8243b59d] + MLJScikitLearn v0.1.0 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [438e738f] + PyCall v1.96.4 [189a3867] + Reexport v1.2.2 ⌅ [321657f4] + ScientificTypes v0.8.1 ⌅ [3646fa90] + ScikitLearn v0.6.6 [6e75b9c4] + ScikitLearnBase v0.5.0 [91c51154] + SentinelArrays v1.4.8 [a2af1166] + SortingAlgorithms v1.2.1 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 ⌅ [2913bbd2] + StatsBase v0.33.21 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [3a884ed6] + UnPack v1.0.2 [81def892] + VersionParsing v1.3.0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [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 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.14.1+1 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them 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` Installation completed after 60.28s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 1399.7 ms ✓ ScientificTypes 114491.2 ms ✓ ScikitLearn 846.7 ms ✓ MLJModelInterface 16111.5 ms ✓ MLJScikitLearn 4 dependencies successfully precompiled in 134 seconds. 67 already precompiled. Precompilation completed after 139.93s ################################################################################ # Loading # Loading MLJScikitLearn... [ Info: Running `conda install -q -y -c anaconda conda` in root environment Channels: - anaconda - 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: - conda The following packages will be downloaded: package | build ---------------------------|----------------- conda-25.5.1 | py312h06a4308_0 1.2 MB anaconda ------------------------------------------------------------ Total: 1.2 MB The following packages will be UPDATED: conda conda-forge::conda-25.3.0-py312h7900f~ --> anaconda::conda-25.5.1-py312h06a4308_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Running `conda install -q -y -c conda-forge libstdcxx-ngnothing` in root environment Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundError: The following packages are not available from current channels: - libstdcxx-ngnothing Current channels: - https://conda.anaconda.org/conda-forge To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page. ERROR: InitError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "LANG=C.UTF-8", "JULIA_NUM_THREADS=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "OPENBLAS_NUM_THREADS=1", "JULIA_NUM_PRECOMPILE_TASKS=1", "CI=true", "JULIA_PKG_PRECOMPILE_AUTO=0", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "OPENBLAS_MAIN_FREE=1", "DISPLAY=:1", "HOME=/home/pkgeval", "PYTHONIOENCODING=UTF-8", "R_HOME=*", "JULIA_CPU_THREADS=1", "PKGEVAL=true"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:602 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:517 [3] run @ ./process.jl:514 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/zReqD/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/zReqD/src/Conda.jl:343 [6] add (repeats 2 times) @ ~/.julia/packages/Conda/zReqD/src/Conda.jl:326 [inlined] [7] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/Wvn7B/src/Skcore.jl:207 [8] __init__() @ MLJScikitLearn ~/.julia/packages/MLJScikitLearn/hMzH8/src/MLJScikitLearn.jl:11 [9] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [10] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [11] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [12] _include_from_serialized @ ./loading.jl:1247 [inlined] [13] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2089 [14] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2602 [15] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2468 [16] macro expansion @ ./loading.jl:2396 [inlined] [17] macro expansion @ ./lock.jl:376 [inlined] [18] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2360 [19] require @ ./loading.jl:2336 [inlined] [20] eval_import_path @ ./module.jl:36 [inlined] [21] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [22] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [23] top-level scope @ none:1 [24] eval(m::Module, e::Any) @ Core ./boot.jl:489 [25] exec_options(opts::Base.JLOptions) @ Base ./client.jl:286 [26] _start() @ Base ./client.jl:553 during initialization of module MLJScikitLearn Loading failed after 48.98s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --pkgimages=existing -e 'using MLJScikitLearn'`, ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:602 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:517 [3] run(::Cmd) @ Base ./process.jl:514 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:193 [5] include(mod::Module, _path::String) @ Base ./Base.jl:309 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [7] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:184 PkgEval failed after 291.09s: there were unidentified errors