Package evaluation to test ScikitLearn on Julia 1.14.0-DEV.3155 (07edee4e4c*) started at 2026-09-10T21:18:41.697 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.54s ################################################################################ # 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 v1.4.6 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v1.8.0 [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 v3.0.0 [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 v1.11.5 [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 v8.22.0+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 41.23s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/sTG3E/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 4.2 s ✓ ElasticPDMats 23.6 s ✓ RData 16.7 s ✓ ScikitLearn 12.3 s ✓ Distributions 16.9 s ✓ RDatasets 4.9 s ✓ Distributions → DistributionsTestExt 9.1 s ✓ GaussianProcesses 7.6 s ✓ GaussianMixtures 8 dependencies successfully precompiled in 96 seconds. 190 already precompiled. Precompilation completed after 116.38s ################################################################################ # Testing # Testing ScikitLearn Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_jJHFDm/Project.toml` [7806a523] + DecisionTree v0.12.4 [cc18c42c] + GaussianMixtures v0.3.14 [891a1506] + GaussianProcesses v0.12.6 [0db19996] + NBInclude v2.4.0 [d330b81b] + PyPlot v2.11.6 [df47a6cb] + RData v1.1.0 [ce6b1742] + RDatasets v0.8.1 [3646fa90] + ScikitLearn v0.7.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_jJHFDm/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 v7.30.1 [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 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [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 [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 [3587e190] + InverseFunctions v0.1.17 [692b3bcd] + JLLWrappers v1.8.0 ⌃ [d3d80556] + LineSearches v7.5.1 [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 ⌃ [90014a1f] + PDMats v0.11.35 ⌅ [69de0a69] ↓ Parsers v3.0.0 ⇒ v2.8.8 [85a6dd25] + PositiveFactorizations v0.2.4 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [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 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.8 [3646fa90] + ScikitLearn v0.7.0 [6c6a2e73] + Scratch v1.3.0 [efcf1570] + Setfield v1.1.2 [b85f4697] + SoftGlobalScope v1.1.0 [276daf66] + SpecialFunctions v2.9.0 [90137ffa] + StaticArrays v1.9.20 [1e83bf80] + StaticArraysCore v1.4.4 ⌅ [4c63d2b9] + StatsFuns v1.5.3 [dc5dba14] + TZJData v1.6.0+2025c [f269a46b] + TimeZones v1.22.2 [3bb67fe8] + TranscodingStreams v0.11.3 [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 [76f85450] + LibGit2 v1.11.0 [a63ad114] + Mmap v1.11.0 [44cfe95a] + Pkg v1.14.0 [4607b0f0] + SuiteSparse [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [e37daf67] + LibGit2_jll v1.9.7+0 [05823500] + OpenLibm_jll v0.8.8+0 [efcefdf7] + PCRE2_jll v10.48.0+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. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_jJHFDm/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 v1.11.5 ⌅ [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_jJHFDm/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 v7.30.1 [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 v1.4.6 [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 v1.8.0 [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 v2.8.8 [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 v3.0.8 [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 v1.9.20 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.5 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 ⌅ [4c63d2b9] StatsFuns v1.5.3 ⌅ [892a3eda] StringManipulation v0.5.0 [ec057cc2] StructUtils v2.8.5 [dc5dba14] TZJData v1.6.0+2025c [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 v8.22.0+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 v0.8.8+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.48.0+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_0 107 KB anaconda ------------------------------------------------------------ Total: 107 KB The following packages will be UPDATED: ca-certificates conda-forge/noarch::ca-certificates-2~ --> anaconda/linux-64::ca-certificates-2026.8.13-h06a4308_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_jJHFDm", "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:2252 [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:2252 [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_jJHFDm", "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:2252 [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:2252 [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_jJHFDm", "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:2252 [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:2252 [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_jJHFDm", "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:2252 [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:2252 [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_4 20 KB conda-forge brotli-bin-1.2.0 | h9908984_4 21 KB conda-forge cairo-1.18.4 | h3c89d7e_3 968 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 | he8c428d_2 439 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 | h7cc23a3_2 61 KB conda-forge graphite2-1.3.15 | h54a6638_1 100 KB conda-forge kiwisolver-1.5.1 | py314h5383ef5_1 74 KB conda-forge lcms2-2.19.1 | h9073bf1_3 248 KB conda-forge lerc-4.2.0 | hdb68285_0 265 KB conda-forge libbrotlicommon-1.2.0 | h39a168f_4 79 KB conda-forge libbrotlidec-1.2.0 | ha411449_4 34 KB conda-forge libbrotlienc-1.2.0 | h018ffa1_4 291 KB conda-forge libclang-cpp23.1-23.1.1 |default_h0acdd01_0 24.2 MB conda-forge libclang13-23.1.1 |default_h7037f76_0 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-16.2.0 | h69a702a_4 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 | h569388d_4 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_1 1.3 MB conda-forge libjpeg-turbo-3.2.0 | hb03c661_1 635 KB conda-forge libllvm23-23.1.1 | 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_1 2.6 MB conda-forge libraqm-0.11.0 | h6406941_0 33 KB conda-forge libstdcxx-ng-16.2.0 | hdf11a46_4 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-1.1.45 | h8e12856_1 244 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 | heb1ab33_2 382 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 | py314h50bfbbb_3 1.1 MB conda-forge pixman-0.46.4 | h54a6638_3 368 KB conda-forge pthread-stubs-0.4 | h7cc23a3_1004 9 KB conda-forge pyparsing-3.3.2 | pyhcf101f3_0 108 KB conda-forge pyside6-6.11.2 | py314h574d94f_1 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 | py314h89acca1_1 904 KB conda-forge unicodedata2-17.0.1 | py314h89acca1_1 404 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 | h7cc23a3_2 18 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 | hebe6cf0_3 582 KB conda-forge zlib-ng-2.3.3 | hce19668_1 121 KB conda-forge ------------------------------------------------------------ Total: 196.1 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_4 brotli-bin conda-forge/linux-64::brotli-bin-1.2.0-h9908984_4 cairo conda-forge/linux-64::cairo-1.18.4-h3c89d7e_3 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-he8c428d_2 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-h7cc23a3_2 graphite2 conda-forge/linux-64::graphite2-1.3.15-h54a6638_1 kiwisolver conda-forge/linux-64::kiwisolver-1.5.1-py314h5383ef5_1 lcms2 conda-forge/linux-64::lcms2-2.19.1-h9073bf1_3 lerc conda-forge/linux-64::lerc-4.2.0-hdb68285_0 libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.2.0-h39a168f_4 libbrotlidec conda-forge/linux-64::libbrotlidec-1.2.0-ha411449_4 libbrotlienc conda-forge/linux-64::libbrotlienc-1.2.0-h018ffa1_4 libclang-cpp23.1 conda-forge/linux-64::libclang-cpp23.1-23.1.1-default_h0acdd01_0 libclang13 conda-forge/linux-64::libclang13-23.1.1-default_h7037f76_0 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-16.2.0-h69a702a_4 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-h569388d_4 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_1 libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.2.0-hb03c661_1 libllvm23 conda-forge/linux-64::libllvm23-23.1.1-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_1 libraqm conda-forge/linux-64::libraqm-0.11.0-h6406941_0 libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-16.2.0-hdf11a46_4 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-1.1.45-h8e12856_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-heb1ab33_2 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-py314h50bfbbb_3 pixman conda-forge/linux-64::pixman-0.46.4-h54a6638_3 pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h7cc23a3_1004 pyparsing conda-forge/noarch::pyparsing-3.3.2-pyhcf101f3_0 pyside6 conda-forge/linux-64::pyside6-6.11.2-py314h574d94f_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-6.11.2-pl5321h9df5c37_0 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 tornado conda-forge/linux-64::tornado-6.5.8-py314h89acca1_1 unicodedata2 conda-forge/linux-64::unicodedata2-17.0.1-py314h89acca1_1 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-h7cc23a3_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-hebe6cf0_3 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_jJHFDm", "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:3291 [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:2252 [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:2252 [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 5m52.2s models | 9 9 21.8s base | 1 1 42.8s pipeline | 1 1 34.4s crossvalidation | 38 38 14.5s utils | 10 10 0.8s quickstart | 1 1 1m38.4s DataFrames | 1 1 38.8s Notebook examples | 1 1 1m40.2s RNG of the outermost testset: Xoshiro(0x50b3ae53d99d5800, 0x3e0229aeea130e19, 0xfa1131fb395a2c0a, 0x68584ee2fb1ca1d3, 0xc77a4d7d9461cb42) 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 373.43s 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:3298 [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 620.82s: package tests unexpectedly errored