Package evaluation of MLJScikitLearn on Julia 1.13.0-DEV.140 (fac1ce7906*) started at 2025-03-02T12:55:46.455 ################################################################################ # Set-up # Set-up completed after 0.23s ################################################################################ # Installation # Installing MLJScikitLearn... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.13/Project.toml` [8243b59d] + MLJScikitLearn v0.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [34da2185] + Compat v4.16.0 [8f4d0f93] + Conda v1.10.2 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.20 [e2d170a0] + DataValueInterfaces v1.0.0 [ffbed154] + DocStringExtensions v0.9.3 [842dd82b] + InlineStrings v1.4.3 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v0.21.4 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [e80e1ace] + MLJModelInterface v0.2.7 [8243b59d] + MLJScikitLearn v0.1.0 [1914dd2f] + MacroTools v0.5.15 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.0 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.1 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [438e738f] + PyCall v1.96.4 [189a3867] + Reexport v1.2.2 ⌅ [321657f4] + ScientificTypes v0.8.1 ⌅ [3646fa90] + ScikitLearn v0.6.6 [6e75b9c4] + ScikitLearnBase v0.5.0 [91c51154] + SentinelArrays v1.4.8 [a2af1166] + SortingAlgorithms v1.2.1 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [3a884ed6] + UnPack v1.0.2 [81def892] + VersionParsing v1.3.0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.64.0+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/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 59.15s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 1377.8 ms ✓ ScientificTypes 132576.9 ms ✓ ScikitLearn 1050.0 ms ✓ MLJModelInterface 21516.5 ms ✓ MLJScikitLearn 4 dependencies successfully precompiled in 160 seconds. 69 already precompiled. Precompilation completed after 170.08s ################################################################################ # Loading # Loading MLJScikitLearn... [ Info: Running `conda install -q -y -c anaconda conda` in root environment Channels: - anaconda - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... done ## Package Plan ## environment location: /home/pkgeval/.julia/conda/3/x86_64 added / updated specs: - conda The following packages will be downloaded: package | build ---------------------------|----------------- ca-certificates-2025.2.25 | h06a4308_0 136 KB anaconda certifi-2025.1.31 | py312h06a4308_0 164 KB anaconda conda-24.11.3 | py312h06a4308_0 1.2 MB anaconda ------------------------------------------------------------ Total: 1.4 MB The following packages will be UPDATED: ca-certificates conda-forge::ca-certificates-2025.1.3~ --> anaconda::ca-certificates-2025.2.25-h06a4308_0 The following packages will be SUPERSEDED by a higher-priority channel: certifi conda-forge/noarch::certifi-2025.1.31~ --> anaconda/linux-64::certifi-2025.1.31-py312h06a4308_0 conda conda-forge::conda-24.11.3-py312h7900~ --> anaconda::conda-24.11.3-py312h06a4308_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Running `conda install -q -y -c conda-forge 'libstdcxx-ng>=3.4,<13.0'` in root environment Channels: - conda-forge - anaconda 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: - libstdcxx-ng[version='>=3.4,<13.0'] The following packages will be downloaded: package | build ---------------------------|----------------- libstdcxx-ng-12.3.0 | hc0a3c3a_7 3.3 MB conda-forge ------------------------------------------------------------ Total: 3.3 MB The following packages will be SUPERSEDED by a higher-priority channel: certifi anaconda/linux-64::certifi-2025.1.31-~ --> conda-forge/noarch::certifi-2025.1.31-pyhd8ed1ab_0 The following packages will be DOWNGRADED: libstdcxx-ng 14.2.0-h4852527_1 --> 12.3.0-hc0a3c3a_7 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Installing sklearn via the Conda scikit-learn package... [ Info: Running `conda install -q -y scikit-learn` in root environment Channels: - conda-forge - anaconda 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: - scikit-learn The following packages will be downloaded: package | build ---------------------------|----------------- joblib-1.4.2 | pyhd8ed1ab_1 215 KB conda-forge scikit-learn-1.6.1 | py312h7a48858_0 10.1 MB conda-forge scipy-1.15.2 | py312ha707e6e_0 16.3 MB conda-forge threadpoolctl-3.5.0 | pyhc1e730c_0 23 KB conda-forge ------------------------------------------------------------ Total: 26.6 MB The following NEW packages will be INSTALLED: joblib conda-forge/noarch::joblib-1.4.2-pyhd8ed1ab_1 scikit-learn conda-forge/linux-64::scikit-learn-1.6.1-py312h7a48858_0 scipy conda-forge/linux-64::scipy-1.15.2-py312ha707e6e_0 threadpoolctl conda-forge/noarch::threadpoolctl-3.5.0-pyhc1e730c_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done Loading completed after 59.53s PkgEval succeeded after 305.47s