Package evaluation to test ScikitLearn on Julia 1.14.0-DEV.3071 (c76331c927*) started at 2026-08-30T20:53:09.430 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.52s ################################################################################ # Installation # Installing ScikitLearn... Resolving package versions... Installed PyCall ─ v1.96.4 Installed Conda ── v1.10.3 Updating `~/.julia/environments/v1.14/Project.toml` [3646fa90] + ScikitLearn v0.7.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [34da2185] + Compat v4.18.1 [8f4d0f93] + Conda v1.10.3 [a8cc5b0e] + Crayons v4.2.0 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [ffbed154] + DocStringExtensions v0.9.5 [842dd82b] + InlineStrings v1.4.5 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v1.7.1 [b964fa9f] + LaTeXStrings v1.4.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 ⌅ [bac558e1] + OrderedCollections v1.8.2 ⌅ [d96e819e] + Parameters v0.12.3 ⌅ [69de0a69] + Parsers v2.8.7 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.4.8 [438e738f] + PyCall v1.96.4 [189a3867] + Reexport v1.2.2 [3646fa90] + ScikitLearn v0.7.0 [6e75b9c4] + ScikitLearnBase v0.5.0 [91c51154] + SentinelArrays v1.4.10 [a2af1166] + SortingAlgorithms v1.2.3 [10745b16] + Statistics v1.11.4 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 ⌅ [892a3eda] + StringManipulation v0.5.0 [ec057cc2] + StructUtils v2.8.5 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [3a884ed6] + UnPack v1.0.2 [81def892] + VersionParsing v1.3.0 [0dad84c5] + ArgTools v1.2.0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] + LibCURL_jll v8.21.0+0 [29816b5a] + LibSSH2_jll v1.11.104+0 [14a3606d] + MozillaCACerts_jll v2026.8.13 [4536629a] + OpenBLAS_jll v0.3.34+0 [458c3c95] + OpenSSL_jll v3.5.8+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.70.0+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/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 39.66s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.2 s ✓ ElasticPDMats 4.3 s ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 6.0 s ✓ Clustering 24.9 s ✓ RData 17.3 s ✓ ScikitLearn 10.0 s ✓ GaussianProcesses 8.2 s ✓ GaussianMixtures 17.9 s ✓ RDatasets 8 dependencies successfully precompiled in 94 seconds. 190 already precompiled. Precompilation completed after 121.97s ################################################################################ # Testing # Testing ScikitLearn Status `/tmp/jl_FZbgrK/Project.toml` [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [a93c6f00] DataFrames v1.8.2 [7806a523] DecisionTree v0.12.4 [cc18c42c] GaussianMixtures v0.3.14 [891a1506] GaussianProcesses v0.12.6 [c8e1da08] IterTools v1.10.0 [1914dd2f] MacroTools v0.5.16 [0db19996] NBInclude v2.4.0 ⌅ [d96e819e] Parameters v0.12.3 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [df47a6cb] RData v1.1.0 [ce6b1742] RDatasets v0.8.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [10745b16] Statistics v1.11.4 ⌅ [2913bbd2] StatsBase v0.33.21 [81def892] VersionParsing v1.3.0 [8ba89e20] Distributed v1.12.0 [37e2e46d] LinearAlgebra v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_FZbgrK/Manifest.toml` [47edcb42] ADTypes v1.24.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.30.0 [336ed68f] CSV v0.10.17 [324d7699] CategoricalArrays v1.1.1 [aaaa29a8] Clustering v0.15.8 [944b1d66] CodecZlib v0.7.9 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.2.0 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [7806a523] DecisionTree v0.12.4 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.21 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.131 [ffbed154] DocStringExtensions v0.9.5 [fdbdab4c] ElasticArrays v1.2.12 [2904ab23] ElasticPDMats v0.2.4 [4e289a0a] EnumX v1.0.7 [e2ba6199] ExprTools v0.1.11 [442a2c76] FastGaussQuadrature v1.3.0 [5789e2e9] FileIO v1.20.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.17.0 [6a86dc24] FiniteDiff v2.33.0 ⌅ [53c48c17] FixedPointNumbers v0.8.6 [f6369f11] ForwardDiff v1.4.5 ⌃ [a0844989] Gamma v1.1.0 [cc18c42c] GaussianMixtures v0.3.14 [891a1506] GaussianProcesses v0.12.6 [34004b35] HypergeometricFunctions v0.3.30 [842dd82b] InlineStrings v1.4.5 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.7.1 [b964fa9f] LaTeXStrings v1.4.1 ⌃ [d3d80556] LineSearches v7.5.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 [0db19996] NBInclude v2.4.0 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.4 [b8a86587] NearestNeighbors v0.4.29 ⌅ [429524aa] Optim v1.13.3 ⌅ [bac558e1] OrderedCollections v1.8.2 ⌃ [90014a1f] PDMats v0.11.35 ⌅ [d96e819e] Parameters v0.12.3 ⌅ [69de0a69] Parsers v2.8.7 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [08abe8d2] PrettyTables v3.4.8 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.4.0 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [1fd47b50] QuadGK v2.11.3 [df47a6cb] RData v1.1.0 [ce6b1742] RDatasets v0.8.1 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v3.0.7 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.10 [efcf1570] Setfield v1.1.2 [b85f4697] SoftGlobalScope v1.1.0 [a2af1166] SortingAlgorithms v1.2.3 [276daf66] SpecialFunctions v2.9.0 [90137ffa] StaticArrays v1.9.19 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.4 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 ⌅ [4c63d2b9] StatsFuns v1.5.2 ⌅ [892a3eda] StringManipulation v0.5.0 [ec057cc2] StructUtils v2.8.5 [dc5dba14] TZJData v1.5.1+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.14.0 [f269a46b] TimeZones v1.22.2 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [ea10d353] WeakRefStrings v1.4.3 [76eceee3] WorkerUtilities v1.6.1 ⌅ [68821587] Arpack_jll v3.5.2+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.2+0 [0dad84c5] ArgTools v1.2.0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.12.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.7+0 [29816b5a] LibSSH2_jll v1.11.104+0 [14a3606d] MozillaCACerts_jll v2026.8.13 [4536629a] OpenBLAS_jll v0.3.34+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.70.0+0 [3f19e933] p7zip_jll v17.8.2+0 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... ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = pyeval_(s::String, globals::PyCall.PyDict{String, PyCall.PyObject, true}, locals::PyCall.PyDict{String, PyCall.PyObject, true}, input_type::Int64, fname::String) at pyeval.jl:37 └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyeval.jl:37 [ 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 ---------------------------|----------------- ca-certificates-2026.8.13 | h06a4308_0 113 KB anaconda conda-26.7.1 | py314h06a4308_0 1.5 MB anaconda ------------------------------------------------------------ Total: 1.6 MB The following packages will be UPDATED: ca-certificates conda-forge/noarch::ca-certificates-2~ --> anaconda/linux-64::ca-certificates-2026.8.13-h06a4308_0 conda conda-forge::conda-26.5.3-py314h9e666~ --> anaconda::conda-26.7.1-py314h06a4308_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 Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundInChannelsError: 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. [ Info: scikit-learn isn't properly installed.Please make sure PyCall is using the default Conda or non-conda local python. base: Error During Test at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:16 Got exception outside of a @test LoadError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_PKG_PRECOMPILE_AUTO=0", "CI=true", "OPENBLAS_NUM_THREADS=1", "HOME=/home/pkgeval", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "JULIA_NUM_THREADS=1", "OPENBLAS_MAIN_FREE=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/opt/julia/bin", "JULIA_CPU_THREADS=1", "DISPLAY=:1", "PYTHONIOENCODING=UTF-8", "PKGEVAL=true", "JULIA_LOAD_PATH=@:/tmp/jl_FZbgrK", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error(proc::Base.Process) @ Base process.jl:651 [inlined] [2] run(::Cmd; wait::Bool, cancel::Base.UseDefaultToken) @ Base process.jl:558 [3] run(::Cmd) @ Base process.jl:553 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:343 [6] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [7] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_base.jl:272 [8] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [11] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:17 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:17 [inlined] in expression starting at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/test_base.jl:12 [ 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 # All requested packages already installed. [ 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 Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundInChannelsError: 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. [ Info: scikit-learn isn't properly installed.Please make sure PyCall is using the default Conda or non-conda local python. pipeline: Error During Test at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:21 Got exception outside of a @test LoadError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_PKG_PRECOMPILE_AUTO=0", "CI=true", "OPENBLAS_NUM_THREADS=1", "HOME=/home/pkgeval", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "JULIA_NUM_THREADS=1", "OPENBLAS_MAIN_FREE=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/opt/julia/bin", "JULIA_CPU_THREADS=1", "DISPLAY=:1", "PYTHONIOENCODING=UTF-8", "PKGEVAL=true", "JULIA_LOAD_PATH=@:/tmp/jl_FZbgrK", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error(proc::Base.Process) @ Base process.jl:651 [inlined] [2] run(::Cmd; wait::Bool, cancel::Base.UseDefaultToken) @ Base process.jl:558 [3] run(::Cmd) @ Base process.jl:553 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:343 [6] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [7] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_pipeline.jl:272 [8] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [11] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:22 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:22 [inlined] in expression starting at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/test_pipeline.jl:17 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 ┌ Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. └ @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/cross_validation.jl:144 [ 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 # All requested packages already installed. [ 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 Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundInChannelsError: 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. [ Info: scikit-learn isn't properly installed.Please make sure PyCall is using the default Conda or non-conda local python. quickstart: Error During Test at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:34 Got exception outside of a @test LoadError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_PKG_PRECOMPILE_AUTO=0", "CI=true", "OPENBLAS_NUM_THREADS=1", "HOME=/home/pkgeval", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "JULIA_NUM_THREADS=1", "OPENBLAS_MAIN_FREE=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/opt/julia/bin", "JULIA_CPU_THREADS=1", "DISPLAY=:1", "PYTHONIOENCODING=UTF-8", "PKGEVAL=true", "JULIA_LOAD_PATH=@:/tmp/jl_FZbgrK", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error(proc::Base.Process) @ Base process.jl:651 [inlined] [2] run(::Cmd; wait::Bool, cancel::Base.UseDefaultToken) @ Base process.jl:558 [3] run(::Cmd) @ Base process.jl:553 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:343 [6] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [7] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_quickstart.jl:272 [8] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [11] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:35 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:35 [inlined] in expression starting at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/test_quickstart.jl:13 [ 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 # All requested packages already installed. [ 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 Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundInChannelsError: 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. [ Info: scikit-learn isn't properly installed.Please make sure PyCall is using the default Conda or non-conda local python. DataFrames: Error During Test at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:37 Got exception outside of a @test LoadError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_PKG_PRECOMPILE_AUTO=0", "CI=true", "OPENBLAS_NUM_THREADS=1", "HOME=/home/pkgeval", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "JULIA_NUM_THREADS=1", "OPENBLAS_MAIN_FREE=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/opt/julia/bin", "JULIA_CPU_THREADS=1", "DISPLAY=:1", "PYTHONIOENCODING=UTF-8", "PKGEVAL=true", "JULIA_LOAD_PATH=@:/tmp/jl_FZbgrK", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error(proc::Base.Process) @ Base process.jl:651 [inlined] [2] run(::Cmd; wait::Bool, cancel::Base.UseDefaultToken) @ Base process.jl:558 [3] run(::Cmd) @ Base process.jl:553 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:343 [6] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [7] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_dataframes.jl:272 [8] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [11] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:38 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:38 [inlined] in expression starting at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/test_dataframes.jl:3 Testing ../examples/Classifier_Comparison.ipynb [ 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-1.2.16.1 | h7cc23a3_1 581 KB conda-forge brotli-1.2.0 | h505cf86_3 20 KB conda-forge brotli-bin-1.2.0 | h9908984_3 21 KB conda-forge cairo-1.18.4 | h3c89d7e_2 967 KB conda-forge contourpy-1.3.3 | py314h97ea11e_4 316 KB conda-forge cycler-0.12.1 | pyhcf101f3_2 14 KB conda-forge cyrus-sasl-2.1.28 | hac629b4_1 205 KB conda-forge dbus-1.16.2 | h24cb091_1 437 KB conda-forge double-conversion-3.4.0 | hecca717_0 70 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-2.18.3 | h4db4eae_1 289 KB conda-forge fonts-conda-ecosystem-1 | 0 4 KB conda-forge fonts-conda-forge-1 | hc364b38_1 4 KB conda-forge fonttools-4.63.0 | pyh7db6752_0 826 KB conda-forge freetype-2.14.3 | ha770c72_2 171 KB conda-forge fribidi-1.0.16 | hb03c661_1 60 KB conda-forge graphite2-1.3.15 | h54a6638_1 100 KB conda-forge kiwisolver-1.5.1 | py314h5383ef5_0 74 KB conda-forge lcms2-2.19.1 | h0c24ade_1 246 KB conda-forge lerc-4.2.0 | hdb68285_0 265 KB conda-forge libbrotlicommon-1.2.0 | h39a168f_3 78 KB conda-forge libbrotlidec-1.2.0 | ha411449_3 34 KB conda-forge libbrotlienc-1.2.0 | h018ffa1_3 292 KB conda-forge libclang-cpp23.1-23.1.0 |default_h0acdd01_1 24.2 MB conda-forge libclang13-23.1.0 |default_h7855034_1 14.7 MB conda-forge libcups-2.3.3 | h7a8fb5f_6 4.3 MB conda-forge libdeflate-1.25 | hd45a770_1 72 KB conda-forge libdrm-2.4.129 | h7cc23a3_0 306 KB conda-forge libegl-1.7.0 | ha4b6fd6_5 46 KB conda-forge libegl-devel-1.7.0 | ha4b6fd6_5 31 KB conda-forge libfreetype-2.14.3 | ha770c72_2 8 KB conda-forge libfreetype6-2.14.3 | h5e6c136_2 379 KB conda-forge libgcc-ng-16.1.0 | h69a702a_1 28 KB conda-forge libgl-1.7.0 | ha4b6fd6_5 129 KB conda-forge libgl-devel-1.7.0 | ha4b6fd6_5 113 KB conda-forge libglib-2.88.3 | he503a2a_2 4.5 MB conda-forge libglvnd-1.7.0 | ha4b6fd6_5 131 KB conda-forge libglx-1.7.0 | ha4b6fd6_5 78 KB conda-forge libglx-devel-1.7.0 | ha4b6fd6_5 27 KB conda-forge libharfbuzz-14.4.0 | h23af247_0 1.3 MB conda-forge libjpeg-turbo-3.2.0 | hb03c661_1 635 KB conda-forge libllvm23-23.1.0 | h474f4eb_0 43.0 MB conda-forge libntlm-1.8 | hb9d3cd8_0 33 KB conda-forge libopengl-1.7.0 | ha4b6fd6_5 49 KB conda-forge libpciaccess-0.19 | hb03c661_1 29 KB conda-forge libpng-1.6.58 | h922cc85_1 309 KB conda-forge libpq-18.6 | h9d76c99_0 2.6 MB conda-forge libraqm-0.11.0 | h6406941_0 33 KB conda-forge libstdcxx-ng-16.1.0 | hdf11a46_1 28 KB conda-forge libtiff-4.7.2 | hcc2c06a_1 449 KB conda-forge libvulkan-loader-1.4.357.0 | h0e34353_2 202 KB conda-forge libwebp-base-1.6.0 | hd42ef1d_1 418 KB conda-forge libxcb-1.17.0 | hb83e432_2 386 KB conda-forge libxcrypt-4.4.38 | h280c20c_0 100 KB conda-forge libxkbcommon-1.13.2 | h51789e4_1 920 KB conda-forge libxslt-1.1.43 | h711ed8c_1 240 KB conda-forge matplotlib-3.11.1 | py314h815e797_2 15 KB conda-forge matplotlib-base-3.11.1 | py314h9a9c090_2 8.6 MB conda-forge munkres-1.1.4 | pyhd8ed1ab_1 15 KB conda-forge openjpeg-2.5.4 | h55fea9a_0 347 KB conda-forge openldap-2.6.13 | hbde042b_0 768 KB conda-forge pcre2-10.47 | h8b3dc9c_1 1.2 MB conda-forge pillow-12.3.0 | py314h8ec4b1a_0 1.1 MB conda-forge pixman-0.46.4 | h54a6638_3 368 KB conda-forge pthread-stubs-0.4 | hb03c661_1003 9 KB conda-forge pyparsing-3.3.2 | pyhcf101f3_0 108 KB conda-forge pyside6-6.11.2 | py314h5d85b37_0 13.3 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-6.11.2 | pl5321h9df5c37_0 58.1 MB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge tornado-6.5.8 | py314h5bd0f2a_0 902 KB conda-forge unicodedata2-17.0.1 | py314h5bd0f2a_0 400 KB conda-forge wayland-1.26.0 | hc1c935e_2 332 KB conda-forge xcb-util-0.4.1 | h4f16b4b_2 20 KB conda-forge xcb-util-cursor-0.1.6 | hb03c661_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-2.48 | h280c20c_0 431 KB conda-forge xorg-libice-1.1.2 | h280c20c_0 61 KB conda-forge xorg-libsm-1.2.6 | h0d788c3_1 30 KB conda-forge xorg-libx11-1.8.13 | he1eb515_1 820 KB conda-forge xorg-libxau-1.0.12 | hb03c661_2 16 KB conda-forge xorg-libxcomposite-0.4.7 | hb03c661_0 14 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 | hb03c661_2 21 KB conda-forge xorg-libxext-1.3.7 | h7cc23a3_1 52 KB conda-forge xorg-libxfixes-6.0.2 | h7cc23a3_1 21 KB conda-forge xorg-libxi-1.8.3 | h7cc23a3_1 48 KB conda-forge xorg-libxrandr-1.5.5 | h7cc23a3_1 30 KB conda-forge xorg-libxrender-0.9.12 | hb03c661_1 34 KB conda-forge xorg-libxtst-1.2.5 | h7cc23a3_4 34 KB conda-forge xorg-libxxf86vm-1.1.7 | hb03c661_0 18 KB conda-forge xorg-xorgproto-2025.1 | h280c20c_1 581 KB conda-forge zlib-ng-2.3.3 | hce19668_1 121 KB conda-forge ------------------------------------------------------------ Total: 196.0 MB The following NEW packages will be INSTALLED: alsa-lib conda-forge/linux-64::alsa-lib-1.2.16.1-h7cc23a3_1 brotli conda-forge/linux-64::brotli-1.2.0-h505cf86_3 brotli-bin conda-forge/linux-64::brotli-bin-1.2.0-h9908984_3 cairo conda-forge/linux-64::cairo-1.18.4-h3c89d7e_2 contourpy conda-forge/linux-64::contourpy-1.3.3-py314h97ea11e_4 cycler conda-forge/noarch::cycler-0.12.1-pyhcf101f3_2 cyrus-sasl conda-forge/linux-64::cyrus-sasl-2.1.28-hac629b4_1 dbus conda-forge/linux-64::dbus-1.16.2-h24cb091_1 double-conversion conda-forge/linux-64::double-conversion-3.4.0-hecca717_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-2.18.3-h4db4eae_1 fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0 fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-hc364b38_1 fonttools conda-forge/noarch::fonttools-4.63.0-pyh7db6752_0 freetype conda-forge/linux-64::freetype-2.14.3-ha770c72_2 fribidi conda-forge/linux-64::fribidi-1.0.16-hb03c661_1 graphite2 conda-forge/linux-64::graphite2-1.3.15-h54a6638_1 kiwisolver conda-forge/linux-64::kiwisolver-1.5.1-py314h5383ef5_0 lcms2 conda-forge/linux-64::lcms2-2.19.1-h0c24ade_1 lerc conda-forge/linux-64::lerc-4.2.0-hdb68285_0 libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.2.0-h39a168f_3 libbrotlidec conda-forge/linux-64::libbrotlidec-1.2.0-ha411449_3 libbrotlienc conda-forge/linux-64::libbrotlienc-1.2.0-h018ffa1_3 libclang-cpp23.1 conda-forge/linux-64::libclang-cpp23.1-23.1.0-default_h0acdd01_1 libclang13 conda-forge/linux-64::libclang13-23.1.0-default_h7855034_1 libcups conda-forge/linux-64::libcups-2.3.3-h7a8fb5f_6 libdeflate conda-forge/linux-64::libdeflate-1.25-hd45a770_1 libdrm conda-forge/linux-64::libdrm-2.4.129-h7cc23a3_0 libegl conda-forge/linux-64::libegl-1.7.0-ha4b6fd6_5 libegl-devel conda-forge/linux-64::libegl-devel-1.7.0-ha4b6fd6_5 libfreetype conda-forge/linux-64::libfreetype-2.14.3-ha770c72_2 libfreetype6 conda-forge/linux-64::libfreetype6-2.14.3-h5e6c136_2 libgcc-ng conda-forge/linux-64::libgcc-ng-16.1.0-h69a702a_1 libgl conda-forge/linux-64::libgl-1.7.0-ha4b6fd6_5 libgl-devel conda-forge/linux-64::libgl-devel-1.7.0-ha4b6fd6_5 libglib conda-forge/linux-64::libglib-2.88.3-he503a2a_2 libglvnd conda-forge/linux-64::libglvnd-1.7.0-ha4b6fd6_5 libglx conda-forge/linux-64::libglx-1.7.0-ha4b6fd6_5 libglx-devel conda-forge/linux-64::libglx-devel-1.7.0-ha4b6fd6_5 libharfbuzz conda-forge/linux-64::libharfbuzz-14.4.0-h23af247_0 libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.2.0-hb03c661_1 libllvm23 conda-forge/linux-64::libllvm23-23.1.0-h474f4eb_0 libntlm conda-forge/linux-64::libntlm-1.8-hb9d3cd8_0 libopengl conda-forge/linux-64::libopengl-1.7.0-ha4b6fd6_5 libpciaccess conda-forge/linux-64::libpciaccess-0.19-hb03c661_1 libpng conda-forge/linux-64::libpng-1.6.58-h922cc85_1 libpq conda-forge/linux-64::libpq-18.6-h9d76c99_0 libraqm conda-forge/linux-64::libraqm-0.11.0-h6406941_0 libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-16.1.0-hdf11a46_1 libtiff conda-forge/linux-64::libtiff-4.7.2-hcc2c06a_1 libvulkan-loader conda-forge/linux-64::libvulkan-loader-1.4.357.0-h0e34353_2 libwebp-base conda-forge/linux-64::libwebp-base-1.6.0-hd42ef1d_1 libxcb conda-forge/linux-64::libxcb-1.17.0-hb83e432_2 libxcrypt conda-forge/linux-64::libxcrypt-4.4.38-h280c20c_0 libxkbcommon conda-forge/linux-64::libxkbcommon-1.13.2-h51789e4_1 libxslt conda-forge/linux-64::libxslt-1.1.43-h711ed8c_1 matplotlib conda-forge/linux-64::matplotlib-3.11.1-py314h815e797_2 matplotlib-base conda-forge/linux-64::matplotlib-base-3.11.1-py314h9a9c090_2 munkres conda-forge/noarch::munkres-1.1.4-pyhd8ed1ab_1 openjpeg conda-forge/linux-64::openjpeg-2.5.4-h55fea9a_0 openldap conda-forge/linux-64::openldap-2.6.13-hbde042b_0 pcre2 conda-forge/linux-64::pcre2-10.47-h8b3dc9c_1 pillow conda-forge/linux-64::pillow-12.3.0-py314h8ec4b1a_0 pixman conda-forge/linux-64::pixman-0.46.4-h54a6638_3 pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-hb03c661_1003 pyparsing conda-forge/noarch::pyparsing-3.3.2-pyhcf101f3_0 pyside6 conda-forge/linux-64::pyside6-6.11.2-py314h5d85b37_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-6.11.2-pl5321h9df5c37_0 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 tornado conda-forge/linux-64::tornado-6.5.8-py314h5bd0f2a_0 unicodedata2 conda-forge/linux-64::unicodedata2-17.0.1-py314h5bd0f2a_0 wayland conda-forge/linux-64::wayland-1.26.0-hc1c935e_2 xcb-util conda-forge/linux-64::xcb-util-0.4.1-h4f16b4b_2 xcb-util-cursor conda-forge/linux-64::xcb-util-cursor-0.1.6-hb03c661_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-2.48-h280c20c_0 xorg-libice conda-forge/linux-64::xorg-libice-1.1.2-h280c20c_0 xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.6-h0d788c3_1 xorg-libx11 conda-forge/linux-64::xorg-libx11-1.8.13-he1eb515_1 xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.12-hb03c661_2 xorg-libxcomposite conda-forge/linux-64::xorg-libxcomposite-0.4.7-hb03c661_0 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-hb03c661_2 xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.7-h7cc23a3_1 xorg-libxfixes conda-forge/linux-64::xorg-libxfixes-6.0.2-h7cc23a3_1 xorg-libxi conda-forge/linux-64::xorg-libxi-1.8.3-h7cc23a3_1 xorg-libxrandr conda-forge/linux-64::xorg-libxrandr-1.5.5-h7cc23a3_1 xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.12-hb03c661_1 xorg-libxtst conda-forge/linux-64::xorg-libxtst-1.2.5-h7cc23a3_4 xorg-libxxf86vm conda-forge/linux-64::xorg-libxxf86vm-1.1.7-hb03c661_0 xorg-xorgproto conda-forge/linux-64::xorg-xorgproto-2025.1-h280c20c_1 zlib-ng conda-forge/linux-64::zlib-ng-2.3.3-hce19668_1 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = __pycall!(ret::PyCall.PyObject, pyargsptr::Ptr{PyCall.PyObject_struct}, o::PyCall.PyObject, kw::Ptr{Nothing}) at pyfncall.jl:42 [inlined] └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyfncall.jl:42 ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = __pycall!(ret::PyCall.PyObject, pyargsptr::Ptr{PyCall.PyObject_struct}, o::PyCall.PyObject, kw::Ptr{Nothing}) at pyfncall.jl:42 [inlined] └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyfncall.jl:42 ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = __pycall!(ret::PyCall.PyObject, pyargsptr::Ptr{PyCall.PyObject_struct}, o::PyCall.PyObject, kw::PyCall.PyObject) at pyfncall.jl:42 [inlined] └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyfncall.jl:42 ┌ Warning: `@pyimport foo` is deprecated in favor of `foo = pyimport("foo")`. │ caller = _pywrap_pyimport(o::PyCall.PyObject) at PyCall.jl:421 └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:421 ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = __pycall!(ret::PyCall.PyObject, pyargsptr::Ptr{PyCall.PyObject_struct}, o::PyCall.PyObject, kw::Ptr{Nothing}) at pyfncall.jl:42 [inlined] └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyfncall.jl:42 [ 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 # All requested packages already installed. [ 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 Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundInChannelsError: 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. [ Info: scikit-learn isn't properly installed.Please make sure PyCall is using the default Conda or non-conda local python. Notebook examples: Error During Test at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:63 Got exception outside of a @test LoadError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_NUM_PRECOMPILE_TASKS=1", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_PKG_PRECOMPILE_AUTO=0", "PYSIDE6_OPTION_PYTHON_ENUM=True", "CI=true", "OPENBLAS_NUM_THREADS=1", "HOME=/home/pkgeval", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "JULIA_NUM_THREADS=1", "OPENBLAS_MAIN_FREE=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/opt/julia/bin", "JULIA_CPU_THREADS=1", "DISPLAY=:1", "PYTHONIOENCODING=UTF-8", "PKGEVAL=true", "JULIA_LOAD_PATH=@:/tmp/jl_FZbgrK", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error(proc::Base.Process) @ Base process.jl:651 [inlined] [2] run(::Cmd; wait::Bool, cancel::Base.UseDefaultToken) @ Base process.jl:558 [3] run(::Cmd) @ Base process.jl:553 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:343 [6] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [7] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/examples/Classifier_Comparison.ipynb:In[1]:272 [8] eval(m::Module, e::Any) @ Core boot.jl:618 [9] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base loading.jl:3258 [10] my_include_string(m::Module, s::String, path::String, prev::String, softscope::Bool) @ NBInclude ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:30 [11] (::NBInclude.var"#3#4"{Bool, Module, String, String, String, String})() @ NBInclude ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:93 [inlined] [12] task_local_storage(body::NBInclude.var"#3#4"{Bool, Module, String, String, String, String}, key::Symbol, val::Bool) @ Base task.jl:399 [13] nbinclude(m::Module, path::String; renumber::Bool, counters::UnitRange{Int64}, regex::Regex, anshook::typeof(identity), softscope::Bool) @ NBInclude ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:92 [14] nbinclude(m::Module, path::String) @ NBInclude ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:57 [15] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:56 [16] eval(m::Module, e::Any) @ Core boot.jl:618 [17] (::var"#run_examples#run_examples##0"{Vector{String}})() @ Main ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:54 [18] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [20] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:64 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [22] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:64 [inlined] in expression starting at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/examples/Classifier_Comparison.ipynb:In[1]:12 Test Summary: | Pass Error Total Time ScikitLearnTests | 57 5 62 5m44.7s models | 9 9 21.9s base | 1 1 42.3s pipeline | 1 1 33.6s crossvalidation | 38 38 13.6s utils | 10 10 0.6s quickstart | 1 1 1m31.9s DataFrames | 1 1 38.4s Notebook examples | 1 1 1m42.1s RNG of the outermost testset: Xoshiro(0xa0730f53e40288fc, 0x484568976c794ada, 0x152424f9805362fe, 0x3eb2b662e5681195, 0x99dafeadf0e7d393) ERROR: LoadError: Some tests did not pass: 57 passed, 0 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:10 Testing failed after 360.52s ERROR: LoadError: Package ScikitLearn errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3283 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 609.39s: package tests unexpectedly errored