Package evaluation of InterpretMe on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T07:34:16.964 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.33s ################################################################################ # Installation # Installing InterpretMe... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [e2b23942] + InterpretMe v0.1.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [e2b23942] + InterpretMe v0.1.0 [10745b16] + Statistics v1.11.1 [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.27+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 1.6s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 301.55s ################################################################################ # Testing # Testing InterpretMe Status `/tmp/jl_WQsA0s/Project.toml` [e2b23942] InterpretMe v0.1.0 [ce6b1742] RDatasets v0.7.7 [3646fa90] ScikitLearn v0.7.0 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_WQsA0s/Manifest.toml` [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [944b1d66] CodecZlib v0.7.8 [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 v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [ffbed154] DocStringExtensions v0.9.4 [e2ba6199] ExprTools v0.1.10 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [842dd82b] InlineStrings v1.4.3 [e2b23942] InterpretMe v0.1.0 [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 [1914dd2f] MacroTools v0.5.15 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 [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 ⌅ [df47a6cb] RData v0.8.3 [ce6b1742] RDatasets v0.7.7 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [6c6a2e73] Scratch v1.2.1 [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 [dc5dba14] TZJData v1.5.0+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [f269a46b] TimeZones v1.21.3 [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 [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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [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 v1.11.0 [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 v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling RDatasets... 1078.8 ms ✓ Mocking 1811.3 ms ✓ WeakRefStrings 9236.0 ms ✓ TimeZones 28132.1 ms ✓ CSV 17875.5 ms ✓ RData 12287.1 ms ✓ RDatasets 6 dependencies successfully precompiled in 71 seconds. 64 already precompiled. Precompiling CategoricalArraysJSONExt... 1371.0 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 1 dependency successfully precompiled in 1 seconds. 16 already precompiled. [ 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_2 --> 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>=1.2,<1.3 package... [ Info: Running `conda config --add channels conda-forge --file /home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml --force` in root environment /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/conda/base/context.py:201: FutureWarning: Adding 'defaults' to channel list implicitly is deprecated and will be removed in 25.3. To remove this warning, please choose a default channel explicitly with conda's regular configuration system, e.g. by adding 'defaults' to the list of channels: conda config --add channels defaults For more information see https://docs.conda.io/projects/conda/en/stable/user-guide/configuration/use-condarc.html deprecated.topic( [ Info: Running `conda install -q -y 'scikit-learn>=1.2,<1.3'` in root environment Channels: - conda-forge - defaults - anaconda Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE failed LibMambaUnsatisfiableError: Encountered problems while solving: - package scikit-learn-1.2.0-py310h209a8ca_0 requires python >=3.10,<3.11.0a0, but none of the providers can be installed Could not solve for environment specs The following packages are incompatible ├─ pin-1 is installable and it requires │ └─ python 3.12.* , which can be installed; └─ scikit-learn >=1.2,<1.3 is not installable because there are no viable options ├─ scikit-learn [1.2.0|1.2.1|1.2.2] would require │ └─ python >=3.10,<3.11.0a0 , which conflicts with any installable versions previously reported; ├─ scikit-learn [1.2.0|1.2.1|1.2.2] would require │ └─ python >=3.11,<3.12.0a0 , which conflicts with any installable versions previously reported; ├─ scikit-learn [1.2.0|1.2.1|1.2.2] would require │ └─ python >=3.8,<3.9.0a0 , which conflicts with any installable versions previously reported; └─ scikit-learn [1.2.0|1.2.1|1.2.2] would require └─ python >=3.9,<3.10.0a0 , which conflicts with any installable versions previously reported. Pins seem to be involved in the conflict. Currently pinned specs: - python 3.12.* (labeled as 'pin-1') ERROR: LoadError: UndefVarError: `CONDA` not defined in `ScikitLearn.Skcore` Stacktrace: [1] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:225 [2] top-level scope @ ~/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:272 [3] include(fname::String) @ Main ./sysimg.jl:38 [4] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:6 caused by: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y 'scikit-learn>=1.2,<1.3'`,["PYTHONIOENCODING=UTF-8", "LANG=C.UTF-8", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin", "OPENBLAS_MAIN_FREE=1", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "JULIA_CPU_THREADS=1", "JULIA_NUM_PRECOMPILE_TASKS=1", "DISPLAY=:1", "JULIA_LOAD_PATH=@:/tmp/jl_WQsA0s", "PKGEVAL=true", "OPENBLAS_NUM_THREADS=1", "CI=true", "JULIA_PKG_PRECOMPILE_AUTO=0", "JULIA_PKGEVAL=true", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "JULIA_NUM_THREADS=1", "R_HOME=*", "HOME=/home/pkgeval"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:598 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:513 [3] run @ ./process.jl:510 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/zReqD/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/zReqD/src/Conda.jl:343 [6] add (repeats 2 times) @ ~/.julia/packages/Conda/zReqD/src/Conda.jl:326 [inlined] [7] pyimport_conda(modulename::String, condapkg::String, channel::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:721 [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:219 [9] top-level scope @ ~/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:272 [10] include(fname::String) @ Main ./sysimg.jl:38 [11] top-level scope @ none:6 caused by: PyError (PyImport_ImportModule The Python package sklearn could not be imported by pyimport. Usually this means that you did not install sklearn in the Python version being used by PyCall. PyCall is currently configured to use the Julia-specific Python distribution installed by the Conda.jl package. To install the sklearn module, you can use `pyimport_conda("sklearn", PKG)`, where PKG is the Anaconda package that contains the module sklearn, or alternatively you can use the Conda package directly (via `using Conda` followed by `Conda.add` etcetera). Alternatively, if you want to use a different Python distribution on your system, such as a system-wide Python (as opposed to the Julia-specific Python), you can re-configure PyCall with that Python. As explained in the PyCall documentation, set ENV["PYTHON"] to the path/name of the python executable you want to use, run Pkg.build("PyCall"), and re-launch Julia. ) ModuleNotFoundError("No module named 'sklearn'") Stacktrace: [1] pyimport(name::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:558 [2] pyimport_conda(modulename::String, condapkg::String, channel::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:716 [3] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:219 [4] top-level scope @ ~/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:272 [5] include(fname::String) @ Main ./sysimg.jl:38 [6] top-level scope @ none:6 Testing failed after 174.3s ERROR: LoadError: Package InterpretMe errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 503.0s: package tests unexpectedly errored