Package evaluation to test ScikitLearn on Julia 1.14.0-DEV.1299 (6d6224db99*) started at 2025-11-25T18:52:02.903 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.2s ################################################################################ # 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 v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.1 ⌅ [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 v1.3.0 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [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 v1.3.3 [21216c6a] + Preferences v1.5.0 [08abe8d2] + PrettyTables v3.1.2 [438e738f] + PyCall v1.96.4 [189a3867] + Reexport v1.2.2 [3646fa90] + ScikitLearn v0.7.0 [6e75b9c4] + ScikitLearnBase v0.5.0 [91c51154] + SentinelArrays v1.4.8 [a2af1166] + SortingAlgorithms v1.2.2 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 ⌅ [2913bbd2] + StatsBase v0.33.21 [892a3eda] + StringManipulation v0.4.2 [ec057cc2] + StructUtils v2.6.0 [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 v1.0.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [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 v1.0.0 [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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.17.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 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 65.41s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 9283.3 ms ✓ StatsBase 91142.7 ms ✓ DataFrames 19886.0 ms ✓ ScikitLearn 3 dependencies successfully precompiled in 122 seconds. 69 already precompiled. Precompilation completed after 133.86s ################################################################################ # Testing # Testing ScikitLearn Status `/tmp/jl_QTJhdx/Project.toml` [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [a93c6f00] DataFrames v1.8.1 [7806a523] DecisionTree v0.12.4 [cc18c42c] GaussianMixtures v0.3.13 [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 v0.8.3 [ce6b1742] RDatasets v0.7.7 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [10745b16] Statistics v1.11.1 ⌅ [2913bbd2] StatsBase v0.33.21 [81def892] VersionParsing v1.3.0 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_QTJhdx/Manifest.toml` [47edcb42] ADTypes v1.19.0 [1520ce14] AbstractTrees v0.4.5 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.22.0 [336ed68f] CSV v0.10.15 ⌅ [324d7699] CategoricalArrays v0.10.7 [aaaa29a8] Clustering v0.15.8 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 ⌅ [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 v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.12 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [fdbdab4c] ElasticArrays v1.2.12 [2904ab23] ElasticPDMats v0.2.4 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [442a2c76] FastGaussQuadrature v1.1.0 [5789e2e9] FileIO v1.17.1 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.15.0 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.3.0 [cc18c42c] GaussianMixtures v0.3.13 [891a1506] GaussianProcesses v0.12.6 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [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 ⌅ [033835bb] JLD2 v0.5.15 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.3.0 [b964fa9f] LaTeXStrings v1.4.0 [d3d80556] LineSearches v7.4.1 [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 v1.1.3 [b8a86587] NearestNeighbors v0.4.24 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 ⌃ [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [08abe8d2] PrettyTables v3.1.2 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [d330b81b] PyPlot v2.11.6 [1fd47b50] QuadGK v2.11.2 ⌅ [df47a6cb] RData v0.8.3 [ce6b1742] RDatasets v0.7.7 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [b85f4697] SoftGlobalScope v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.2 [ec057cc2] StructUtils v2.6.0 [dc5dba14] TZJData v1.5.0+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [f269a46b] TimeZones v1.22.1 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 ⌅ [68821587] Arpack_jll v3.5.1+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+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 v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.17.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+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... [ 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-25.11.0 | py312h06a4308_0 1.3 MB anaconda ------------------------------------------------------------ Total: 1.3 MB The following packages will be UPDATED: conda conda-forge::conda-25.9.1-py312h7900f~ --> anaconda::conda-25.11.0-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. [ 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_QTJhdx", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:611 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:526 [3] run @ ./process.jl:523 [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] add │ @ ~/.julia/packages/Conda/05AVg/src/Conda.jl:326 [inlined] ╰──── repeated 2 times [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_base.jl:272 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:17 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:17 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ none:6 [18] eval(m::Module, e::Any) @ Core ./boot.jl:489 [19] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [20] _start() @ Base ./client.jl:577 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 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. [ 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_QTJhdx", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:611 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:526 [3] run @ ./process.jl:523 [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] add │ @ ~/.julia/packages/Conda/05AVg/src/Conda.jl:326 [inlined] ╰──── repeated 2 times [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_pipeline.jl:272 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:22 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:22 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ none:6 [18] eval(m::Module, e::Any) @ Core ./boot.jl:489 [19] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [20] _start() @ Base ./client.jl:577 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 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. [ 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_QTJhdx", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:611 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:526 [3] run @ ./process.jl:523 [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] add │ @ ~/.julia/packages/Conda/05AVg/src/Conda.jl:326 [inlined] ╰──── repeated 2 times [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_quickstart.jl:272 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:35 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:35 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ none:6 [18] eval(m::Module, e::Any) @ Core ./boot.jl:489 [19] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [20] _start() @ Base ./client.jl:577 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 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. [ 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_QTJhdx", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:611 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:526 [3] run @ ./process.jl:523 [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] add │ @ ~/.julia/packages/Conda/05AVg/src/Conda.jl:326 [inlined] ╰──── repeated 2 times [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/test_dataframes.jl:272 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:38 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:38 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ none:6 [18] eval(m::Module, e::Any) @ Core ./boot.jl:489 [19] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [20] _start() @ Base ./client.jl:577 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-1.2.14 | hb9d3cd8_0 553 KB conda-forge brotli-1.1.0 | hb03c661_4 19 KB conda-forge brotli-bin-1.1.0 | hb03c661_4 19 KB conda-forge cairo-1.18.4 | h3394656_0 955 KB conda-forge contourpy-1.3.3 | py312hd9148b4_3 288 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 | hc364b38_1 4 KB conda-forge fonttools-4.60.1 | py312h8a5da7c_0 2.8 MB conda-forge freetype-2.14.1 | ha770c72_0 169 KB conda-forge graphite2-1.3.14 | hecca717_2 97 KB conda-forge harfbuzz-12.2.0 | h15599e2_0 2.3 MB conda-forge icu-75.1 | he02047a_0 11.6 MB conda-forge kiwisolver-1.4.9 | py312h0a2e395_2 76 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 | hb03c661_4 68 KB conda-forge libbrotlidec-1.1.0 | hb03c661_4 33 KB conda-forge libbrotlienc-1.1.0 | hb03c661_4 283 KB conda-forge libclang-cpp21.1-21.1.6 |default_h99862b1_0 20.1 MB conda-forge libclang13-21.1.6 |default_h746c552_0 11.8 MB conda-forge libcups-2.3.3 | hb8b1518_5 4.3 MB conda-forge libdeflate-1.25 | h17f619e_0 72 KB conda-forge libdrm-2.4.125 | hb03c661_1 304 KB conda-forge libegl-1.7.0 | ha4b6fd6_2 44 KB conda-forge libfreetype-2.14.1 | ha770c72_0 7 KB conda-forge libfreetype6-2.14.1 | h73754d4_0 378 KB conda-forge libgl-1.7.0 | ha4b6fd6_2 132 KB conda-forge libglib-2.86.2 | h32235b2_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-3.1.2 | hb03c661_0 619 KB conda-forge libllvm21-21.1.6 | hf7376ad_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-1.6.51 | h421ea60_0 310 KB conda-forge libpq-18.1 | h5c52fec_1 2.8 MB conda-forge libtiff-4.7.1 | h9d88235_1 425 KB conda-forge libvulkan-loader-1.4.328.1 | h5279c79_0 193 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-1.13.0 | hca5e8e5_0 824 KB conda-forge libxml2-2.15.1 | h26afc86_0 44 KB conda-forge libxml2-16-2.15.1 | ha9997c6_0 543 KB conda-forge libxslt-1.1.43 | h711ed8c_1 240 KB conda-forge matplotlib-3.10.8 | py312h7900ff3_0 17 KB conda-forge matplotlib-base-3.10.8 | py312he3d6523_0 8.1 MB conda-forge munkres-1.1.4 | pyhd8ed1ab_1 15 KB conda-forge openjpeg-2.5.4 | h55fea9a_0 347 KB conda-forge openldap-2.6.10 | he970967_0 762 KB conda-forge pcre2-10.46 | h1321c63_0 1.2 MB conda-forge pillow-12.0.0 | py312h898c6c0_1 1004 KB conda-forge pixman-0.46.4 | h54a6638_1 440 KB conda-forge pthread-stubs-0.4 | hb9d3cd8_1002 8 KB conda-forge pyparsing-3.2.5 | pyhcf101f3_0 102 KB conda-forge pyside6-6.9.3 | py312h9da60e5_1 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-6.9.3 | h5c1c036_1 52.2 MB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge tornado-6.5.2 | py312h4c3975b_2 831 KB conda-forge unicodedata2-17.0.0 | py312h4c3975b_1 399 KB conda-forge wayland-1.24.0 | hd6090a7_1 322 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-2.46 | hb03c661_0 388 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 | hb03c661_1 15 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 | hb03c661_1 20 KB conda-forge xorg-libxext-1.3.6 | hb9d3cd8_0 49 KB conda-forge xorg-libxfixes-6.0.2 | hb03c661_0 20 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 zlib-ng-2.2.5 | hde8ca8f_0 108 KB conda-forge ------------------------------------------------------------ Total: 191.2 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-hb03c661_4 brotli-bin conda-forge/linux-64::brotli-bin-1.1.0-hb03c661_4 cairo conda-forge/linux-64::cairo-1.18.4-h3394656_0 contourpy conda-forge/linux-64::contourpy-1.3.3-py312hd9148b4_3 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-hc364b38_1 fonttools conda-forge/linux-64::fonttools-4.60.1-py312h8a5da7c_0 freetype conda-forge/linux-64::freetype-2.14.1-ha770c72_0 graphite2 conda-forge/linux-64::graphite2-1.3.14-hecca717_2 harfbuzz conda-forge/linux-64::harfbuzz-12.2.0-h15599e2_0 icu conda-forge/linux-64::icu-75.1-he02047a_0 kiwisolver conda-forge/linux-64::kiwisolver-1.4.9-py312h0a2e395_2 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-hb03c661_4 libbrotlidec conda-forge/linux-64::libbrotlidec-1.1.0-hb03c661_4 libbrotlienc conda-forge/linux-64::libbrotlienc-1.1.0-hb03c661_4 libclang-cpp21.1 conda-forge/linux-64::libclang-cpp21.1-21.1.6-default_h99862b1_0 libclang13 conda-forge/linux-64::libclang13-21.1.6-default_h746c552_0 libcups conda-forge/linux-64::libcups-2.3.3-hb8b1518_5 libdeflate conda-forge/linux-64::libdeflate-1.25-h17f619e_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-2.14.1-ha770c72_0 libfreetype6 conda-forge/linux-64::libfreetype6-2.14.1-h73754d4_0 libgl conda-forge/linux-64::libgl-1.7.0-ha4b6fd6_2 libglib conda-forge/linux-64::libglib-2.86.2-h32235b2_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-3.1.2-hb03c661_0 libllvm21 conda-forge/linux-64::libllvm21-21.1.6-hf7376ad_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-1.6.51-h421ea60_0 libpq conda-forge/linux-64::libpq-18.1-h5c52fec_1 libtiff conda-forge/linux-64::libtiff-4.7.1-h9d88235_1 libvulkan-loader conda-forge/linux-64::libvulkan-loader-1.4.328.1-h5279c79_0 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-1.13.0-hca5e8e5_0 libxslt conda-forge/linux-64::libxslt-1.1.43-h711ed8c_1 matplotlib conda-forge/linux-64::matplotlib-3.10.8-py312h7900ff3_0 matplotlib-base conda-forge/linux-64::matplotlib-base-3.10.8-py312he3d6523_0 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-2.6.10-he970967_0 pcre2 conda-forge/linux-64::pcre2-10.46-h1321c63_0 pillow conda-forge/linux-64::pillow-12.0.0-py312h898c6c0_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-3.2.5-pyhcf101f3_0 pyside6 conda-forge/linux-64::pyside6-6.9.3-py312h9da60e5_1 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-6.9.3-h5c1c036_1 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 tornado conda-forge/linux-64::tornado-6.5.2-py312h4c3975b_2 unicodedata2 conda-forge/linux-64::unicodedata2-17.0.0-py312h4c3975b_1 wayland conda-forge/linux-64::wayland-1.24.0-hd6090a7_1 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-2.46-hb03c661_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-hb03c661_1 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-hb03c661_1 xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.6-hb9d3cd8_0 xorg-libxfixes conda-forge/linux-64::xorg-libxfixes-6.0.2-hb03c661_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 zlib-ng conda-forge/linux-64::zlib-ng-2.2.5-hde8ca8f_0 The following packages will be REVISED: libxml2 2.15.1-h031cc0b_0 --> 2.15.1-h26afc86_0 libxml2-16 2.15.1-hf2a90c1_0 --> 2.15.1-ha9997c6_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ┌ Warning: `@pyimport foo` is deprecated in favor of `foo = pyimport("foo")`. │ caller = _pywrap_pyimport(o::PyCall.PyObject) at PyCall.jl:421 └ @ Core ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:421 [ 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 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. [ 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_QTJhdx", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "LANG=C.UTF-8", "R_HOME=*"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:611 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:526 [3] run @ ./process.jl:523 [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] add │ @ ~/.julia/packages/Conda/05AVg/src/Conda.jl:326 [inlined] ╰──── repeated 2 times [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [9] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/examples/Classifier_Comparison.ipynb:In[1]:272 [10] eval(m::Module, e::Any) @ Core ./boot.jl:489 [11] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:3003 [12] include_string @ ./loading.jl:3013 [inlined] [13] my_include_string(m::Module, s::String, path::String, prev::String, softscope::Bool) @ NBInclude ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:30 [14] #3 @ ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:93 [inlined] [15] task_local_storage(body::NBInclude.var"#3#4"{Bool, Module, String, String, String, String}, key::Symbol, val::Bool) @ Base ./task.jl:298 [16] 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 [17] nbinclude(m::Module, path::String) @ NBInclude ~/.julia/packages/NBInclude/pfsyO/src/NBInclude.jl:57 [18] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:56 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] (::var"#run_examples#run_examples##0"{Vector{String}})() @ Main ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:54 [21] top-level scope @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:12 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [23] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:64 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [25] macro expansion @ ~/.julia/packages/ScikitLearn/sqLdT/test/runtests.jl:64 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [27] top-level scope @ none:6 [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [30] _start() @ Base ./client.jl:577 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 6m53.7s models | 9 9 32.2s base | 1 1 46.8s pipeline | 1 1 26.5s crossvalidation | 38 38 14.6s utils | 10 10 0.8s quickstart | 1 1 2m26.6s DataFrames | 1 1 29.6s Notebook examples | 1 1 1m56.5s RNG of the outermost testset: Xoshiro(0xcf0fea6392873d38, 0x754efc13247cb39a, 0xe1089f94f9ea3729, 0x377159d733f9edc6, 0x184171684d65ec3d) 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 428.78s 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:2946 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2795 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] 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 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 674.38s: package tests unexpectedly errored